From e4137f882301907e25c78564e14f71f9adfd5c51 Mon Sep 17 00:00:00 2001
From: taylorfturner <taylorfturner@gmail.com>
Date: Mon, 25 Sep 2023 11:12:22 -0400
Subject: [PATCH] update docs 0.10.3

---
 docs/0.10.5/doctrees/API.doctree              |   Bin 0 -> 3786 bytes
 .../add_new_model_to_data_labeler.doctree     |   Bin 0 -> 40597 bytes
 .../column_name_labeler_example.doctree       |   Bin 0 -> 35573 bytes
 docs/0.10.5/doctrees/data_labeling.doctree    |   Bin 0 -> 51622 bytes
 docs/0.10.5/doctrees/data_reader.doctree      |   Bin 0 -> 65267 bytes
 docs/0.10.5/doctrees/data_readers.doctree     |   Bin 0 -> 32135 bytes
 ...ataprofiler.data_readers.avro_data.doctree |   Bin 0 -> 53055 bytes
 ...ataprofiler.data_readers.base_data.doctree |   Bin 0 -> 38025 bytes
 ...dataprofiler.data_readers.csv_data.doctree |   Bin 0 -> 59710 bytes
 .../dataprofiler.data_readers.data.doctree    |   Bin 0 -> 16955 bytes
 ...taprofiler.data_readers.data_utils.doctree |   Bin 0 -> 165862 bytes
 .../dataprofiler.data_readers.doctree         |   Bin 0 -> 4691 bytes
 ...er.data_readers.filepath_or_buffer.doctree |   Bin 0 -> 23191 bytes
 ...taprofiler.data_readers.graph_data.doctree |   Bin 0 -> 54323 bytes
 ...ataprofiler.data_readers.json_data.doctree |   Bin 0 -> 55846 bytes
 ...profiler.data_readers.parquet_data.doctree |   Bin 0 -> 52314 bytes
 ...ler.data_readers.structured_mixins.doctree |   Bin 0 -> 11992 bytes
 ...ataprofiler.data_readers.text_data.doctree |   Bin 0 -> 51266 bytes
 docs/0.10.5/doctrees/dataprofiler.doctree     |   Bin 0 -> 5904 bytes
 .../doctrees/dataprofiler.dp_logging.doctree  |   Bin 0 -> 11220 bytes
 ...rofiler.labelers.base_data_labeler.doctree |   Bin 0 -> 220960 bytes
 .../dataprofiler.labelers.base_model.doctree  |   Bin 0 -> 153576 bytes
 ...ofiler.labelers.char_load_tf_model.doctree |   Bin 0 -> 89493 bytes
 ...labelers.character_level_cnn_model.doctree |   Bin 0 -> 99846 bytes
 ...belers.classification_report_utils.doctree |   Bin 0 -> 83964 bytes
 ...rofiler.labelers.column_name_model.doctree |   Bin 0 -> 65857 bytes
 ...ataprofiler.labelers.data_labelers.doctree |   Bin 0 -> 248623 bytes
 ...aprofiler.labelers.data_processing.doctree |   Bin 0 -> 555299 bytes
 .../doctrees/dataprofiler.labelers.doctree    |   Bin 0 -> 11173 bytes
 ...ataprofiler.labelers.labeler_utils.doctree |   Bin 0 -> 541413 bytes
 .../dataprofiler.labelers.regex_model.doctree |   Bin 0 -> 72344 bytes
 .../dataprofiler.labelers.utils.doctree       |   Bin 0 -> 12860 bytes
 ...er.profilers.base_column_profilers.doctree |   Bin 0 -> 75639 bytes
 ...ofilers.categorical_column_profile.doctree |   Bin 0 -> 60550 bytes
 ...profilers.column_profile_compilers.doctree |   Bin 0 -> 177148 bytes
 ...filers.data_labeler_column_profile.doctree |   Bin 0 -> 65527 bytes
 ....profilers.datetime_column_profile.doctree |   Bin 0 -> 47589 bytes
 .../doctrees/dataprofiler.profilers.doctree   |   Bin 0 -> 5178 bytes
 ...ler.profilers.float_column_profile.doctree |   Bin 0 -> 83126 bytes
 ...aprofiler.profilers.graph_profiler.doctree |   Bin 0 -> 36831 bytes
 .../dataprofiler.profilers.helpers.doctree    |   Bin 0 -> 11844 bytes
 ...r.profilers.helpers.report_helpers.doctree |   Bin 0 -> 18709 bytes
 ...profiler.profilers.histogram_utils.doctree |   Bin 0 -> 4301 bytes
 ...filer.profilers.int_column_profile.doctree |   Bin 0 -> 80738 bytes
 ...ataprofiler.profilers.json_decoder.doctree |   Bin 0 -> 84834 bytes
 ...ataprofiler.profilers.json_encoder.doctree |   Bin 0 -> 25266 bytes
 ...r.profilers.numerical_column_stats.doctree |   Bin 0 -> 83126 bytes
 ...ler.profilers.order_column_profile.doctree |   Bin 0 -> 46938 bytes
 ...profiler.profilers.profile_builder.doctree |   Bin 0 -> 267594 bytes
 ...rofiler.profilers.profiler_options.doctree |   Bin 0 -> 727399 bytes
 ...aprofiler.profilers.profiler_utils.doctree |   Bin 0 -> 220324 bytes
 ...iler.profilers.text_column_profile.doctree |   Bin 0 -> 104808 bytes
 ...ilers.unstructured_labeler_profile.doctree |   Bin 0 -> 30250 bytes
 ...rofilers.unstructured_text_profile.doctree |   Bin 0 -> 28111 bytes
 .../dataprofiler.profilers.utils.doctree      |   Bin 0 -> 2328 bytes
 .../doctrees/dataprofiler.reports.doctree     |   Bin 0 -> 4138 bytes
 .../dataprofiler.reports.graphs.doctree       |   Bin 0 -> 3176 bytes
 .../dataprofiler.reports.utils.doctree        |   Bin 0 -> 13824 bytes
 .../doctrees/dataprofiler.rng_utils.doctree   |   Bin 0 -> 5252 bytes
 .../doctrees/dataprofiler.settings.doctree    |   Bin 0 -> 3098 bytes
 ...rofiler.validators.base_validators.doctree |   Bin 0 -> 26522 bytes
 .../doctrees/dataprofiler.validators.doctree  |   Bin 0 -> 4155 bytes
 .../doctrees/dataprofiler.version.doctree     |   Bin 0 -> 3111 bytes
 docs/0.10.5/doctrees/environment.pickle       |   Bin 0 -> 650218 bytes
 docs/0.10.5/doctrees/examples.doctree         |   Bin 0 -> 4707 bytes
 docs/0.10.5/doctrees/graph_data_demo.doctree  |   Bin 0 -> 26328 bytes
 docs/0.10.5/doctrees/graphs.doctree           |   Bin 0 -> 25584 bytes
 docs/0.10.5/doctrees/index.doctree            |   Bin 0 -> 64408 bytes
 docs/0.10.5/doctrees/install.doctree          |   Bin 0 -> 12450 bytes
 docs/0.10.5/doctrees/labeler.doctree          |   Bin 0 -> 46397 bytes
 .../doctrees/merge_profile_list.doctree       |   Bin 0 -> 11848 bytes
 docs/0.10.5/doctrees/modules.doctree          |   Bin 0 -> 2668 bytes
 .../add_new_model_to_data_labeler.ipynb       |   488 +
 .../column_name_labeler_example.ipynb         |   364 +
 .../doctrees/nbsphinx/data_reader.ipynb       |   689 +
 .../doctrees/nbsphinx/graph_data_demo.ipynb   |   271 +
 docs/0.10.5/doctrees/nbsphinx/labeler.ipynb   |   650 +
 .../nbsphinx/merge_profile_list.ipynb         |   159 +
 docs/0.10.5/doctrees/nbsphinx/overview.ipynb  |   470 +
 .../nbsphinx/popmon_dp_loader_example.ipynb   |   416 +
 .../doctrees/nbsphinx/profiler_example.ipynb  |   577 +
 .../nbsphinx/regex_labeler_from_scratch.ipynb |   444 +
 .../unstructured_profiler_example.ipynb       |   436 +
 docs/0.10.5/doctrees/overview.doctree         |   Bin 0 -> 39414 bytes
 .../doctrees/popmon_dp_loader_example.doctree |   Bin 0 -> 27518 bytes
 docs/0.10.5/doctrees/profiler.doctree         |   Bin 0 -> 215481 bytes
 docs/0.10.5/doctrees/profiler_example.doctree |   Bin 0 -> 47446 bytes
 .../regex_labeler_from_scratch.doctree        |   Bin 0 -> 42399 bytes
 docs/0.10.5/doctrees/roadmap.doctree          |   Bin 0 -> 19890 bytes
 .../unstructured_profiler_example.doctree     |   Bin 0 -> 36875 bytes
 docs/0.10.5/html/.buildinfo                   |     4 +
 docs/0.10.5/html/API.html                     |   294 +
 docs/0.10.5/html/_images/DL-Flowchart.png     |   Bin 0 -> 7609 bytes
 .../html/_images/histogram_example_0.png      |   Bin 0 -> 14056 bytes
 .../html/_images/histogram_example_1.png      |   Bin 0 -> 11387 bytes
 .../html/_images/histogram_example_2.png      |   Bin 0 -> 12592 bytes
 .../missing_value_barchart_example_0.png      |   Bin 0 -> 24758 bytes
 .../missing_value_matrix_example_0.png        |   Bin 0 -> 37730 bytes
 docs/0.10.5/html/_sources/API.rst.txt         |    16 +
 .../add_new_model_to_data_labeler.nblink.txt  |     3 +
 .../column_name_labeler_example.nblink.txt    |     3 +
 .../html/_sources/data_labeling.rst.txt       |   365 +
 .../html/_sources/data_reader.nblink.txt      |     3 +
 .../0.10.5/html/_sources/data_readers.rst.txt |   164 +
 ...ataprofiler.data_readers.avro_data.rst.txt |     7 +
 ...ataprofiler.data_readers.base_data.rst.txt |     7 +
 ...dataprofiler.data_readers.csv_data.rst.txt |     7 +
 .../dataprofiler.data_readers.data.rst.txt    |     7 +
 ...taprofiler.data_readers.data_utils.rst.txt |     7 +
 ...er.data_readers.filepath_or_buffer.rst.txt |     7 +
 ...taprofiler.data_readers.graph_data.rst.txt |     7 +
 ...ataprofiler.data_readers.json_data.rst.txt |     7 +
 ...profiler.data_readers.parquet_data.rst.txt |     7 +
 .../dataprofiler.data_readers.rst.txt         |    30 +
 ...ler.data_readers.structured_mixins.rst.txt |     7 +
 ...ataprofiler.data_readers.text_data.rst.txt |     7 +
 .../_sources/dataprofiler.dp_logging.rst.txt  |     7 +
 ...rofiler.labelers.base_data_labeler.rst.txt |     7 +
 .../dataprofiler.labelers.base_model.rst.txt  |     7 +
 ...ofiler.labelers.char_load_tf_model.rst.txt |     7 +
 ...labelers.character_level_cnn_model.rst.txt |     7 +
 ...belers.classification_report_utils.rst.txt |     7 +
 ...rofiler.labelers.column_name_model.rst.txt |     7 +
 ...ataprofiler.labelers.data_labelers.rst.txt |     7 +
 ...aprofiler.labelers.data_processing.rst.txt |     7 +
 ...ataprofiler.labelers.labeler_utils.rst.txt |     7 +
 .../dataprofiler.labelers.regex_model.rst.txt |     7 +
 .../_sources/dataprofiler.labelers.rst.txt    |    30 +
 .../dataprofiler.labelers.utils.rst.txt       |     7 +
 ...er.profilers.base_column_profilers.rst.txt |     7 +
 ...ofilers.categorical_column_profile.rst.txt |     7 +
 ...profilers.column_profile_compilers.rst.txt |     7 +
 ...filers.data_labeler_column_profile.rst.txt |     7 +
 ....profilers.datetime_column_profile.rst.txt |     7 +
 ...ler.profilers.float_column_profile.rst.txt |     7 +
 ...aprofiler.profilers.graph_profiler.rst.txt |     7 +
 ...r.profilers.helpers.report_helpers.rst.txt |     7 +
 .../dataprofiler.profilers.helpers.rst.txt    |    20 +
 ...profiler.profilers.histogram_utils.rst.txt |     7 +
 ...filer.profilers.int_column_profile.rst.txt |     7 +
 ...ataprofiler.profilers.json_decoder.rst.txt |     7 +
 ...ataprofiler.profilers.json_encoder.rst.txt |     7 +
 ...r.profilers.numerical_column_stats.rst.txt |     7 +
 ...ler.profilers.order_column_profile.rst.txt |     7 +
 ...profiler.profilers.profile_builder.rst.txt |     7 +
 ...rofiler.profilers.profiler_options.rst.txt |     7 +
 ...aprofiler.profilers.profiler_utils.rst.txt |     7 +
 .../_sources/dataprofiler.profilers.rst.txt   |    39 +
 ...iler.profilers.text_column_profile.rst.txt |     7 +
 ...ilers.unstructured_labeler_profile.rst.txt |     7 +
 ...rofilers.unstructured_text_profile.rst.txt |     7 +
 .../dataprofiler.profilers.utils.rst.txt      |     7 +
 .../dataprofiler.reports.graphs.rst.txt       |     7 +
 .../_sources/dataprofiler.reports.rst.txt     |    21 +
 .../dataprofiler.reports.utils.rst.txt        |     7 +
 .../_sources/dataprofiler.rng_utils.rst.txt   |     7 +
 .../0.10.5/html/_sources/dataprofiler.rst.txt |    28 +
 .../_sources/dataprofiler.settings.rst.txt    |     7 +
 ...rofiler.validators.base_validators.rst.txt |     7 +
 .../_sources/dataprofiler.validators.rst.txt  |    20 +
 .../_sources/dataprofiler.version.rst.txt     |     7 +
 docs/0.10.5/html/_sources/examples.rst.txt    |    24 +
 .../html/_sources/graph_data_demo.nblink.txt  |     3 +
 docs/0.10.5/html/_sources/graphs.rst.txt      |   196 +
 docs/0.10.5/html/_sources/index.rst.txt       |   587 +
 docs/0.10.5/html/_sources/install.rst.txt     |   145 +
 docs/0.10.5/html/_sources/labeler.nblink.txt  |     6 +
 .../_sources/merge_profile_list.nblink.txt    |     3 +
 docs/0.10.5/html/_sources/modules.rst.txt     |     7 +
 docs/0.10.5/html/_sources/overview.nblink.txt |     3 +
 .../popmon_dp_loader_example.nblink.txt       |     3 +
 docs/0.10.5/html/_sources/profiler.rst.txt    |   962 ++
 .../html/_sources/profiler_example.nblink.txt |     3 +
 .../regex_labeler_from_scratch.nblink.txt     |     3 +
 docs/0.10.5/html/_sources/roadmap.rst.txt     |    58 +
 .../unstructured_profiler_example.nblink.txt  |     3 +
 .../_static/DataProfilerLogoLightTheme.png    |   Bin 0 -> 118089 bytes
 docs/0.10.5/html/_static/basic.css            |   904 ++
 docs/0.10.5/html/_static/custom.css           |    50 +
 docs/0.10.5/html/_static/doctools.js          |   323 +
 .../html/_static/documentation_options.js     |    12 +
 docs/0.10.5/html/_static/file.png             |   Bin 0 -> 286 bytes
 .../images/DataProfilerDarkLogoLong.png       |   Bin 0 -> 20019 bytes
 .../images/DataProfilerLogoLightTheme.png     |   Bin 0 -> 118089 bytes
 .../images/DataProfilerLogoLightThemeLong.png |   Bin 0 -> 177437 bytes
 .../images/branching_workflow_diagram.png     |   Bin 0 -> 131890 bytes
 .../_static/images/histogram_example_0.png    |   Bin 0 -> 14056 bytes
 .../_static/images/histogram_example_1.png    |   Bin 0 -> 11387 bytes
 .../_static/images/histogram_example_2.png    |   Bin 0 -> 12592 bytes
 .../missing_value_barchart_example_0.png      |   Bin 0 -> 24758 bytes
 .../images/missing_value_matrix_example_0.png |   Bin 0 -> 37730 bytes
 docs/0.10.5/html/_static/jquery-3.5.1.js      | 10872 ++++++++++++++++
 docs/0.10.5/html/_static/jquery.js            |     2 +
 docs/0.10.5/html/_static/language_data.js     |   297 +
 docs/0.10.5/html/_static/minus.png            |   Bin 0 -> 90 bytes
 docs/0.10.5/html/_static/plus.png             |   Bin 0 -> 90 bytes
 docs/0.10.5/html/_static/pygments.css         |    74 +
 docs/0.10.5/html/_static/pygments_dark.css    |    84 +
 docs/0.10.5/html/_static/scripts/main.js      |     2 +
 docs/0.10.5/html/_static/scripts/main.js.map  |     1 +
 docs/0.10.5/html/_static/searchtools.js       |   522 +
 .../html/_static/styles/furo-extensions.css   |     2 +
 .../_static/styles/furo-extensions.css.map    |     1 +
 docs/0.10.5/html/_static/styles/furo.css      |     2 +
 docs/0.10.5/html/_static/styles/furo.css.map  |     1 +
 docs/0.10.5/html/_static/underscore-1.13.1.js |  2042 +++
 docs/0.10.5/html/_static/underscore.js        |     6 +
 .../html/add_new_model_to_data_labeler.html   |   936 ++
 .../html/add_new_model_to_data_labeler.ipynb  |   488 +
 .../html/column_name_labeler_example.html     |   821 ++
 .../html/column_name_labeler_example.ipynb    |   364 +
 docs/0.10.5/html/data_labeling.html           |   616 +
 docs/0.10.5/html/data_reader.html             |  1102 ++
 docs/0.10.5/html/data_reader.ipynb            |   689 +
 docs/0.10.5/html/data_readers.html            |   453 +
 .../dataprofiler.data_readers.avro_data.html  |   410 +
 .../dataprofiler.data_readers.base_data.html  |   372 +
 .../dataprofiler.data_readers.csv_data.html   |   439 +
 .../html/dataprofiler.data_readers.data.html  |   311 +
 .../dataprofiler.data_readers.data_utils.html |   657 +
 ...filer.data_readers.filepath_or_buffer.html |   322 +
 .../dataprofiler.data_readers.graph_data.html |   416 +
 .../html/dataprofiler.data_readers.html       |   325 +
 .../dataprofiler.data_readers.json_data.html  |   421 +
 ...ataprofiler.data_readers.parquet_data.html |   406 +
 ...ofiler.data_readers.structured_mixins.html |   305 +
 .../dataprofiler.data_readers.text_data.html  |   411 +
 docs/0.10.5/html/dataprofiler.dp_logging.html |   299 +
 docs/0.10.5/html/dataprofiler.html            |   384 +
 ...taprofiler.labelers.base_data_labeler.html |   910 ++
 .../dataprofiler.labelers.base_model.html     |   676 +
 ...aprofiler.labelers.char_load_tf_model.html |   492 +
 ...er.labelers.character_level_cnn_model.html |   513 +
 ....labelers.classification_report_utils.html |   452 +
 ...taprofiler.labelers.column_name_model.html |   452 +
 .../dataprofiler.labelers.data_labelers.html  |   981 ++
 ...dataprofiler.labelers.data_processing.html |  1413 ++
 docs/0.10.5/html/dataprofiler.labelers.html   |   361 +
 .../dataprofiler.labelers.labeler_utils.html  |  2642 ++++
 .../dataprofiler.labelers.regex_model.html    |   487 +
 .../html/dataprofiler.labelers.utils.html     |   309 +
 ...filer.profilers.base_column_profilers.html |   458 +
 ....profilers.categorical_column_profile.html |   450 +
 ...er.profilers.column_profile_compilers.html |   678 +
 ...profilers.data_labeler_column_profile.html |   447 +
 ...ler.profilers.datetime_column_profile.html |   406 +
 ...ofiler.profilers.float_column_profile.html |   547 +
 ...dataprofiler.profilers.graph_profiler.html |   383 +
 .../html/dataprofiler.profilers.helpers.html  |   334 +
 ...iler.profilers.helpers.report_helpers.html |   325 +
 ...ataprofiler.profilers.histogram_utils.html |   288 +
 docs/0.10.5/html/dataprofiler.profilers.html  |   342 +
 ...profiler.profilers.int_column_profile.html |   540 +
 .../dataprofiler.profilers.json_decoder.html  |   547 +
 .../dataprofiler.profilers.json_encoder.html  |   364 +
 ...iler.profilers.numerical_column_stats.html |   536 +
 ...ofiler.profilers.order_column_profile.html |   402 +
 ...ataprofiler.profilers.profile_builder.html |   892 ++
 ...taprofiler.profilers.profiler_options.html |  2396 ++++
 ...dataprofiler.profilers.profiler_utils.html |   825 ++
 ...rofiler.profilers.text_column_profile.html |   588 +
 ...rofilers.unstructured_labeler_profile.html |   348 +
 ...r.profilers.unstructured_text_profile.html |   356 +
 .../html/dataprofiler.profilers.utils.html    |   265 +
 .../html/dataprofiler.reports.graphs.html     |   266 +
 docs/0.10.5/html/dataprofiler.reports.html    |   298 +
 .../html/dataprofiler.reports.utils.html      |   291 +
 docs/0.10.5/html/dataprofiler.rng_utils.html  |   271 +
 docs/0.10.5/html/dataprofiler.settings.html   |   266 +
 ...taprofiler.validators.base_validators.html |   362 +
 docs/0.10.5/html/dataprofiler.validators.html |   315 +
 docs/0.10.5/html/dataprofiler.version.html    |   266 +
 docs/0.10.5/html/examples.html                |   427 +
 docs/0.10.5/html/genindex.html                |  3431 +++++
 docs/0.10.5/html/graph_data_demo.html         |   709 +
 docs/0.10.5/html/graph_data_demo.ipynb        |   271 +
 docs/0.10.5/html/graphs.html                  |   488 +
 docs/0.10.5/html/index.html                   |   746 ++
 docs/0.10.5/html/install.html                 |   392 +
 docs/0.10.5/html/labeler.html                 |   957 ++
 docs/0.10.5/html/labeler.ipynb                |   650 +
 docs/0.10.5/html/merge_profile_list.html      |   638 +
 docs/0.10.5/html/merge_profile_list.ipynb     |   159 +
 docs/0.10.5/html/modules.html                 |   299 +
 docs/0.10.5/html/objects.inv                  |   Bin 0 -> 29194 bytes
 docs/0.10.5/html/overview.html                |   849 ++
 docs/0.10.5/html/overview.ipynb               |   470 +
 .../0.10.5/html/popmon_dp_loader_example.html |   804 ++
 .../html/popmon_dp_loader_example.ipynb       |   416 +
 docs/0.10.5/html/profiler.html                |  1410 ++
 docs/0.10.5/html/profiler_example.html        |   949 ++
 docs/0.10.5/html/profiler_example.ipynb       |   577 +
 docs/0.10.5/html/py-modindex.html             |   605 +
 .../html/regex_labeler_from_scratch.html      |   858 ++
 .../html/regex_labeler_from_scratch.ipynb     |   444 +
 docs/0.10.5/html/roadmap.html                 |   388 +
 docs/0.10.5/html/search.html                  |   267 +
 docs/0.10.5/html/searchindex.js               |     1 +
 .../html/unstructured_profiler_example.html   |   836 ++
 .../html/unstructured_profiler_example.ipynb  |   436 +
 docs/source/index.rst                         |     3 +
 index.html                                    |     2 +-
 profiler_options.html                         |     2 +-
 303 files changed, 77726 insertions(+), 2 deletions(-)
 create mode 100644 docs/0.10.5/doctrees/API.doctree
 create mode 100644 docs/0.10.5/doctrees/add_new_model_to_data_labeler.doctree
 create mode 100644 docs/0.10.5/doctrees/column_name_labeler_example.doctree
 create mode 100644 docs/0.10.5/doctrees/data_labeling.doctree
 create mode 100644 docs/0.10.5/doctrees/data_reader.doctree
 create mode 100644 docs/0.10.5/doctrees/data_readers.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.data_readers.avro_data.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.data_readers.base_data.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.data_readers.csv_data.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.data_readers.data.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.data_readers.data_utils.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.data_readers.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.data_readers.filepath_or_buffer.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.data_readers.graph_data.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.data_readers.json_data.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.data_readers.parquet_data.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.data_readers.structured_mixins.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.data_readers.text_data.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.dp_logging.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.labelers.base_data_labeler.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.labelers.base_model.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.labelers.char_load_tf_model.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.labelers.character_level_cnn_model.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.labelers.classification_report_utils.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.labelers.column_name_model.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.labelers.data_labelers.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.labelers.data_processing.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.labelers.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.labelers.labeler_utils.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.labelers.regex_model.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.labelers.utils.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.base_column_profilers.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.categorical_column_profile.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.column_profile_compilers.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.data_labeler_column_profile.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.datetime_column_profile.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.float_column_profile.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.graph_profiler.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.helpers.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.helpers.report_helpers.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.histogram_utils.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.int_column_profile.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.json_decoder.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.json_encoder.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.numerical_column_stats.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.order_column_profile.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.profile_builder.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.profiler_options.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.profiler_utils.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.text_column_profile.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.unstructured_labeler_profile.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.unstructured_text_profile.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.profilers.utils.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.reports.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.reports.graphs.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.reports.utils.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.rng_utils.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.settings.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.validators.base_validators.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.validators.doctree
 create mode 100644 docs/0.10.5/doctrees/dataprofiler.version.doctree
 create mode 100644 docs/0.10.5/doctrees/environment.pickle
 create mode 100644 docs/0.10.5/doctrees/examples.doctree
 create mode 100644 docs/0.10.5/doctrees/graph_data_demo.doctree
 create mode 100644 docs/0.10.5/doctrees/graphs.doctree
 create mode 100644 docs/0.10.5/doctrees/index.doctree
 create mode 100644 docs/0.10.5/doctrees/install.doctree
 create mode 100644 docs/0.10.5/doctrees/labeler.doctree
 create mode 100644 docs/0.10.5/doctrees/merge_profile_list.doctree
 create mode 100644 docs/0.10.5/doctrees/modules.doctree
 create mode 100644 docs/0.10.5/doctrees/nbsphinx/add_new_model_to_data_labeler.ipynb
 create mode 100644 docs/0.10.5/doctrees/nbsphinx/column_name_labeler_example.ipynb
 create mode 100644 docs/0.10.5/doctrees/nbsphinx/data_reader.ipynb
 create mode 100644 docs/0.10.5/doctrees/nbsphinx/graph_data_demo.ipynb
 create mode 100644 docs/0.10.5/doctrees/nbsphinx/labeler.ipynb
 create mode 100644 docs/0.10.5/doctrees/nbsphinx/merge_profile_list.ipynb
 create mode 100644 docs/0.10.5/doctrees/nbsphinx/overview.ipynb
 create mode 100644 docs/0.10.5/doctrees/nbsphinx/popmon_dp_loader_example.ipynb
 create mode 100644 docs/0.10.5/doctrees/nbsphinx/profiler_example.ipynb
 create mode 100644 docs/0.10.5/doctrees/nbsphinx/regex_labeler_from_scratch.ipynb
 create mode 100644 docs/0.10.5/doctrees/nbsphinx/unstructured_profiler_example.ipynb
 create mode 100644 docs/0.10.5/doctrees/overview.doctree
 create mode 100644 docs/0.10.5/doctrees/popmon_dp_loader_example.doctree
 create mode 100644 docs/0.10.5/doctrees/profiler.doctree
 create mode 100644 docs/0.10.5/doctrees/profiler_example.doctree
 create mode 100644 docs/0.10.5/doctrees/regex_labeler_from_scratch.doctree
 create mode 100644 docs/0.10.5/doctrees/roadmap.doctree
 create mode 100644 docs/0.10.5/doctrees/unstructured_profiler_example.doctree
 create mode 100644 docs/0.10.5/html/.buildinfo
 create mode 100644 docs/0.10.5/html/API.html
 create mode 100644 docs/0.10.5/html/_images/DL-Flowchart.png
 create mode 100644 docs/0.10.5/html/_images/histogram_example_0.png
 create mode 100644 docs/0.10.5/html/_images/histogram_example_1.png
 create mode 100644 docs/0.10.5/html/_images/histogram_example_2.png
 create mode 100644 docs/0.10.5/html/_images/missing_value_barchart_example_0.png
 create mode 100644 docs/0.10.5/html/_images/missing_value_matrix_example_0.png
 create mode 100644 docs/0.10.5/html/_sources/API.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/add_new_model_to_data_labeler.nblink.txt
 create mode 100644 docs/0.10.5/html/_sources/column_name_labeler_example.nblink.txt
 create mode 100644 docs/0.10.5/html/_sources/data_labeling.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/data_reader.nblink.txt
 create mode 100644 docs/0.10.5/html/_sources/data_readers.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.data_readers.avro_data.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.data_readers.base_data.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.data_readers.csv_data.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.data_readers.data.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.data_readers.data_utils.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.data_readers.filepath_or_buffer.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.data_readers.graph_data.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.data_readers.json_data.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.data_readers.parquet_data.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.data_readers.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.data_readers.structured_mixins.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.data_readers.text_data.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.dp_logging.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.labelers.base_data_labeler.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.labelers.base_model.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.labelers.char_load_tf_model.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.labelers.character_level_cnn_model.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.labelers.classification_report_utils.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.labelers.column_name_model.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.labelers.data_labelers.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.labelers.data_processing.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.labelers.labeler_utils.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.labelers.regex_model.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.labelers.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.labelers.utils.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.base_column_profilers.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.categorical_column_profile.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.column_profile_compilers.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.data_labeler_column_profile.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.datetime_column_profile.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.float_column_profile.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.graph_profiler.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.helpers.report_helpers.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.helpers.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.histogram_utils.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.int_column_profile.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.json_decoder.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.json_encoder.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.numerical_column_stats.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.order_column_profile.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.profile_builder.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.profiler_options.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.profiler_utils.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.text_column_profile.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.unstructured_labeler_profile.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.unstructured_text_profile.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.profilers.utils.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.reports.graphs.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.reports.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.reports.utils.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.rng_utils.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.settings.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.validators.base_validators.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.validators.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/dataprofiler.version.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/examples.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/graph_data_demo.nblink.txt
 create mode 100644 docs/0.10.5/html/_sources/graphs.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/index.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/install.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/labeler.nblink.txt
 create mode 100644 docs/0.10.5/html/_sources/merge_profile_list.nblink.txt
 create mode 100644 docs/0.10.5/html/_sources/modules.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/overview.nblink.txt
 create mode 100644 docs/0.10.5/html/_sources/popmon_dp_loader_example.nblink.txt
 create mode 100644 docs/0.10.5/html/_sources/profiler.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/profiler_example.nblink.txt
 create mode 100644 docs/0.10.5/html/_sources/regex_labeler_from_scratch.nblink.txt
 create mode 100644 docs/0.10.5/html/_sources/roadmap.rst.txt
 create mode 100644 docs/0.10.5/html/_sources/unstructured_profiler_example.nblink.txt
 create mode 100644 docs/0.10.5/html/_static/DataProfilerLogoLightTheme.png
 create mode 100644 docs/0.10.5/html/_static/basic.css
 create mode 100644 docs/0.10.5/html/_static/custom.css
 create mode 100644 docs/0.10.5/html/_static/doctools.js
 create mode 100644 docs/0.10.5/html/_static/documentation_options.js
 create mode 100644 docs/0.10.5/html/_static/file.png
 create mode 100644 docs/0.10.5/html/_static/images/DataProfilerDarkLogoLong.png
 create mode 100644 docs/0.10.5/html/_static/images/DataProfilerLogoLightTheme.png
 create mode 100644 docs/0.10.5/html/_static/images/DataProfilerLogoLightThemeLong.png
 create mode 100644 docs/0.10.5/html/_static/images/branching_workflow_diagram.png
 create mode 100644 docs/0.10.5/html/_static/images/histogram_example_0.png
 create mode 100644 docs/0.10.5/html/_static/images/histogram_example_1.png
 create mode 100644 docs/0.10.5/html/_static/images/histogram_example_2.png
 create mode 100644 docs/0.10.5/html/_static/images/missing_value_barchart_example_0.png
 create mode 100644 docs/0.10.5/html/_static/images/missing_value_matrix_example_0.png
 create mode 100644 docs/0.10.5/html/_static/jquery-3.5.1.js
 create mode 100644 docs/0.10.5/html/_static/jquery.js
 create mode 100644 docs/0.10.5/html/_static/language_data.js
 create mode 100644 docs/0.10.5/html/_static/minus.png
 create mode 100644 docs/0.10.5/html/_static/plus.png
 create mode 100644 docs/0.10.5/html/_static/pygments.css
 create mode 100644 docs/0.10.5/html/_static/pygments_dark.css
 create mode 100644 docs/0.10.5/html/_static/scripts/main.js
 create mode 100644 docs/0.10.5/html/_static/scripts/main.js.map
 create mode 100644 docs/0.10.5/html/_static/searchtools.js
 create mode 100644 docs/0.10.5/html/_static/styles/furo-extensions.css
 create mode 100644 docs/0.10.5/html/_static/styles/furo-extensions.css.map
 create mode 100644 docs/0.10.5/html/_static/styles/furo.css
 create mode 100644 docs/0.10.5/html/_static/styles/furo.css.map
 create mode 100644 docs/0.10.5/html/_static/underscore-1.13.1.js
 create mode 100644 docs/0.10.5/html/_static/underscore.js
 create mode 100644 docs/0.10.5/html/add_new_model_to_data_labeler.html
 create mode 100644 docs/0.10.5/html/add_new_model_to_data_labeler.ipynb
 create mode 100644 docs/0.10.5/html/column_name_labeler_example.html
 create mode 100644 docs/0.10.5/html/column_name_labeler_example.ipynb
 create mode 100644 docs/0.10.5/html/data_labeling.html
 create mode 100644 docs/0.10.5/html/data_reader.html
 create mode 100644 docs/0.10.5/html/data_reader.ipynb
 create mode 100644 docs/0.10.5/html/data_readers.html
 create mode 100644 docs/0.10.5/html/dataprofiler.data_readers.avro_data.html
 create mode 100644 docs/0.10.5/html/dataprofiler.data_readers.base_data.html
 create mode 100644 docs/0.10.5/html/dataprofiler.data_readers.csv_data.html
 create mode 100644 docs/0.10.5/html/dataprofiler.data_readers.data.html
 create mode 100644 docs/0.10.5/html/dataprofiler.data_readers.data_utils.html
 create mode 100644 docs/0.10.5/html/dataprofiler.data_readers.filepath_or_buffer.html
 create mode 100644 docs/0.10.5/html/dataprofiler.data_readers.graph_data.html
 create mode 100644 docs/0.10.5/html/dataprofiler.data_readers.html
 create mode 100644 docs/0.10.5/html/dataprofiler.data_readers.json_data.html
 create mode 100644 docs/0.10.5/html/dataprofiler.data_readers.parquet_data.html
 create mode 100644 docs/0.10.5/html/dataprofiler.data_readers.structured_mixins.html
 create mode 100644 docs/0.10.5/html/dataprofiler.data_readers.text_data.html
 create mode 100644 docs/0.10.5/html/dataprofiler.dp_logging.html
 create mode 100644 docs/0.10.5/html/dataprofiler.html
 create mode 100644 docs/0.10.5/html/dataprofiler.labelers.base_data_labeler.html
 create mode 100644 docs/0.10.5/html/dataprofiler.labelers.base_model.html
 create mode 100644 docs/0.10.5/html/dataprofiler.labelers.char_load_tf_model.html
 create mode 100644 docs/0.10.5/html/dataprofiler.labelers.character_level_cnn_model.html
 create mode 100644 docs/0.10.5/html/dataprofiler.labelers.classification_report_utils.html
 create mode 100644 docs/0.10.5/html/dataprofiler.labelers.column_name_model.html
 create mode 100644 docs/0.10.5/html/dataprofiler.labelers.data_labelers.html
 create mode 100644 docs/0.10.5/html/dataprofiler.labelers.data_processing.html
 create mode 100644 docs/0.10.5/html/dataprofiler.labelers.html
 create mode 100644 docs/0.10.5/html/dataprofiler.labelers.labeler_utils.html
 create mode 100644 docs/0.10.5/html/dataprofiler.labelers.regex_model.html
 create mode 100644 docs/0.10.5/html/dataprofiler.labelers.utils.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.base_column_profilers.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.categorical_column_profile.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.column_profile_compilers.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.data_labeler_column_profile.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.datetime_column_profile.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.float_column_profile.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.graph_profiler.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.helpers.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.helpers.report_helpers.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.histogram_utils.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.int_column_profile.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.json_decoder.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.json_encoder.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.numerical_column_stats.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.order_column_profile.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.profile_builder.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.profiler_options.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.profiler_utils.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.text_column_profile.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.unstructured_labeler_profile.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.unstructured_text_profile.html
 create mode 100644 docs/0.10.5/html/dataprofiler.profilers.utils.html
 create mode 100644 docs/0.10.5/html/dataprofiler.reports.graphs.html
 create mode 100644 docs/0.10.5/html/dataprofiler.reports.html
 create mode 100644 docs/0.10.5/html/dataprofiler.reports.utils.html
 create mode 100644 docs/0.10.5/html/dataprofiler.rng_utils.html
 create mode 100644 docs/0.10.5/html/dataprofiler.settings.html
 create mode 100644 docs/0.10.5/html/dataprofiler.validators.base_validators.html
 create mode 100644 docs/0.10.5/html/dataprofiler.validators.html
 create mode 100644 docs/0.10.5/html/dataprofiler.version.html
 create mode 100644 docs/0.10.5/html/examples.html
 create mode 100644 docs/0.10.5/html/genindex.html
 create mode 100644 docs/0.10.5/html/graph_data_demo.html
 create mode 100644 docs/0.10.5/html/graph_data_demo.ipynb
 create mode 100644 docs/0.10.5/html/graphs.html
 create mode 100644 docs/0.10.5/html/index.html
 create mode 100644 docs/0.10.5/html/install.html
 create mode 100644 docs/0.10.5/html/labeler.html
 create mode 100644 docs/0.10.5/html/labeler.ipynb
 create mode 100644 docs/0.10.5/html/merge_profile_list.html
 create mode 100644 docs/0.10.5/html/merge_profile_list.ipynb
 create mode 100644 docs/0.10.5/html/modules.html
 create mode 100644 docs/0.10.5/html/objects.inv
 create mode 100644 docs/0.10.5/html/overview.html
 create mode 100644 docs/0.10.5/html/overview.ipynb
 create mode 100644 docs/0.10.5/html/popmon_dp_loader_example.html
 create mode 100644 docs/0.10.5/html/popmon_dp_loader_example.ipynb
 create mode 100644 docs/0.10.5/html/profiler.html
 create mode 100644 docs/0.10.5/html/profiler_example.html
 create mode 100644 docs/0.10.5/html/profiler_example.ipynb
 create mode 100644 docs/0.10.5/html/py-modindex.html
 create mode 100644 docs/0.10.5/html/regex_labeler_from_scratch.html
 create mode 100644 docs/0.10.5/html/regex_labeler_from_scratch.ipynb
 create mode 100644 docs/0.10.5/html/roadmap.html
 create mode 100644 docs/0.10.5/html/search.html
 create mode 100644 docs/0.10.5/html/searchindex.js
 create mode 100644 docs/0.10.5/html/unstructured_profiler_example.html
 create mode 100644 docs/0.10.5/html/unstructured_profiler_example.ipynb

diff --git a/docs/0.10.5/doctrees/API.doctree b/docs/0.10.5/doctrees/API.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..bb9b715c1c484b739c659c75709afe2bc40bcab5
GIT binary patch
literal 3786
zcmcInTW=h<6_zaRRnkgUV&_t;nb?hCr`4|8`XO;z6h(rfshW)uq%F`wopNWmOUg6D
zDanymK!UgrDQtjmVc*(c&|lD}{+8xH<h>s`m%Su`lZOZpFg!fu;rY%v-#PoZ^^gA!
zHvFI2S2^R^d`RLr6ERiRbYl?}Db2L~%-;Q*{n*|yJxMN<C}c#f*?>mGcoIvR*;8x|
zoWACX8devyHIXyAIL=z8I~)e#FCV`9z_QM%HGQJB<dZ_fp1XgG#|n3uPLvR(AjEeo
zBWd~7jf;G-n2_j^q|;IdA3U~Zi{#uErlZNsDO%Py+X>I8J=rwvoZzL}vMtjK8`rRE
z*B;#;{Z3J-M(_RMk3V_yr=whoGc}5dCit52gvt?)sZpsuf)_)nv@IsAXF7^Tnv1M~
zinUnVxp)VgEzNa8m$u9n4toT!yZs@ZJB&)<r`98l<HsyuKV+}6Ep~IvUKtk?!VZ8D
zJ3O`QdHi3;|BLv4`P3Hd`|K{%Z<p%q7JKDn+rO&^r^!r`oGqLG(}#=(ctXHcpz?(4
zfM;3+_k)!1EQmy!iwsby2f@S2bM>R(w`4+r0lwY=B*6!i#C}Dxxc_^SZ~!Hw8kTO|
zGvBF=1xmkw+du#2D80pQdUV<~S{|jYce%*oC6LPSu?-}Xh_s~3@vHW}E*vZ<V`(}7
zQF5QWcgE(W<y0EFMJP)U?ceR#TwmF)Q%?E4Yb$$66$!uf!phcp69{Zlv&*w6DPj~y
zQoe%ynf--LSWHbfCG(i(nz`EOL?rj=YkF^sO#9edvpq}1#6C4`#^V@8{?zPM_celU
zR-_XuX>3n6OyB3Z5?OKy-9ETt;lE$jR@j-#*oRdtdWgk)>*;OwE7*@Oki9vTmaJ#|
zNgc!T9#jZzD&!73a%A#jOY2%Gxq-NnsXwdA`2p_PTCN<tl}_PQ7CFB*%}aEiqr4HV
zS{hC+Lr*XtTlNXtRpy1SQ~@PH;Rp)LZ>wKaS8qc=?3RON(+r|QI;sjQVj7#>TH?uU
zY`ThS&9fO;`f9_vQ|Uto8f>E;3k1C8ZFYBTdNZ0)>1q_Y)<e=zrAeA&u~V7}arYxE
z`_;0L308XuL+Gg1?ZRBkh4j*z!>JHD6Phk<0;)a7gUE?+J{2-`;0+W?AP-Stu9YZU
z`MpvCGVzk|f@>Dmgb$0=fvN+*c}a62b(qj|n%I*orq4*yEL-L(opWHNi7r&F)H1D@
zPKp`K4K9exfE6@QZYd-^ElEV3Q}&4&@GLKMh+vBtTGsRmJw1NoSaE#cSltY%ltP9K
zlm{jR&hDv^wq{=xdi9o;zr~uPwVkyq*uTx7ymaw^`sj_-jkS~Jz&W6R5(7R79I|FF
zA=#`TGYYt4tgoPG&2y4QLdGGAon|QG$Pv=mv?GyC;UnPSahSUXI=8HC2Bgp;T!_pS
z*I4)BBF)1l>wu~kplwi@k;GlN?<IgXQ!e%kQLbnai*TO0d^$j(2t~u?lRiaIU*}x$
zGC%jjm@6_#oFmmMJ9Ra%TV@x|DC9r!oQ0IB)WVwQ%yst#Bk1Q&2jO+M#fbL~XsKBu
zKd-uyLfT|AWMRTnuI+C&{`W=8404(;O5VA%>m(C`*Sp#<0n<8H4@RSli;H1?shP-z
zLe54pJs&|+jjXxmPWY$bM5t+sKxqV~3;FSD_wEDPft*HbW}IYU=0<Hs3xU~+Q$6)&
zm`)Rz=xH)R3B``cyXFW9nTAbmHjEXj+-1m9bD%CWP39rvGnU{V$-A8hm-o9WC8)B$
z7AR^3pq}&Vav3HfB4rCPM-jtJ5h3tpu>oZdAx=Lka+q*)pzj0~37~C2!m}xIpk{?b
z#}i=1RlNg>W)h=NFJX&OjE+yuwI~tfQAjbGBq4@VN&R5>#B9;*+=BE?x8w&DB+`p#
zF-OAdu$(>pba)kpkS-d-DN+I5&<&gBa79|ql@Q~$X|rg%vcO2{Sp3woU7}3KZC0{R
z*pV_lC(xHUKy%&TiDHLtOgq9f_7S^Xn7!p_c*}bc2U)qd;QCVHimuix-@Gg-_0YHw
zy>udyCcs|x`88pq-CMb_S6lUm4p;66c}nfr`r7(k)ef3FC?OJsD|l;mB9SCO89tyV
zbl$GypE(5nbF!&EwI3j}F?*s`FuW^JlCz3wcc3m6>Y$b`T2wVJv!9heHSk;E_B#b;
z(+C9<a1;*5`-3v7frI=(a1+!1&1T?y{aNatKmI2UeE#@fL%WzCF$kXRZ*FXSn-MZN
z+r^3XiDh{_VIL9Gs`}NY*>>51I(v8gtM^^gD1ShK$Ex2Z+i3e|efNkjjqt=AHjG+h
z=8!zwfqIQpHI6pORqK1^?yq53y3Sn#=OJ@rKU#OtutU6#$ni7$b92gDK<@Qt=zR%<
pv)6FqD<IgcApojor*YZW^iDN&f`n%72Vp;U4XxsS7q?<E{6DbMu0Q|)

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/add_new_model_to_data_labeler.doctree b/docs/0.10.5/doctrees/add_new_model_to_data_labeler.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..a42ba52e6befe326970609a85a7a522672de5cb6
GIT binary patch
literal 40597
zcmeHQYm6k<RbG3a)81V_;#fS^PNm1m_Bb;&ySDT2;t4qGI5E3BcI=I9Wir%McUMnU
zZ*^6t9<wtsE0TzS9TgEF4HAD4g1>+ee-b2uKoQ~x2#KFS!XrNr5`TyULP((Sopb9x
zs=9j~JL}k>ZfSSAtM2o>?m6e4d+ryG|LRwM;|PC>d()vGMBBF8?M89eOGm}2ZrsTS
zUX+c#K3e$V=+>xJ%q8y4G|rQbH!6;xM8^-pZsJ9wb-X-F<+C76?XrQnp_{myi97UF
z3;yxq3mdNl-c2j>gVc)R%xlN-4J(eUPXyT~^S1T0pJl`J((>|VkokGr?!<%Tjynu8
zH;f~1Imz2WCyti0#PgO1ZV)ZYHqvDb-HE)L&H&>Noh){`Zst0n+x9{)v7>evL^nRV
z;f(x~7_L8u*?2t<qsMII4E^K&S$d7P$F6(ZH1*=#ZsQ$&dBmW>#C9)NoB%WknEnIB
zoTEVNA1zLl5M3>fVT9gjHE+8`!_BfJXy+L)L6AQhbW=dNIN1r^G{r-FKOVUQ@$FPM
zAL<`%w{rti<1)wS@m_N%PM~<61f$|--dgC7^5SIXZt|G?`}}kM>AVe4pUB)~)6;YY
zV7hNPAut*E7J%zF0nBq-pvonp$|XrrOL4R$sBq-^kAf)PFUyTnuPWC<xyMjWg4AEm
z{R{rZqM?YbJGye0n7XIBm(BZSb*j_wA1OYy{OQz7(&cNfe&+F~o>(3xaX(!qvc|Vw
z0J2^NC8f)Pg7(D#BmX^D?nd`V{fGUdfc}x<j2~?JA^v5d8*Q4baDrJuf~Y=5kSmoh
zjzwThP-8D9x$tIjFHtdI=qFz4$6<H$l~X?upP!>?eNuMrKjMD^gSm@I;3W9GB5S~j
zdvrgyJqRzQLzjfnsUbS^k}YpUUA$WB;)LiT^*UJ)M`JT2S#UfHve1+R#Rs41c7tfs
zf<&=cqF7lBynB|n9i$n(c@}uMDx`}w42B+aFN5r%+pVpni9f&`ZV-<AM^^p!kWAQ>
zSOOI9iQ){^IZXLAA+`5}q~G>C5^QE0_o9t^WE-!2>gbUpm*Xf6x?aL?=(wq8-SoZ4
zx{1GW9(JuTxZx3)yzOBaC!W;}dMsfxtK(xW=wx296na};2&m?XOMkMPadJZdIJMlU
zYk6C4n7bL;@x36ihF$`~8n}?sv`Xj}i3?IMOKt1=G^7L(50voqV#zNUVmon@9m@?9
z&+YD5SWGf3Bk0=#4S}sXUYf?qBK?lj%zS{sxnmQ#yt-<&0GF*e#Nro6nAED6+p3t`
zf}|eb%`7Yd=yA{nhja;0Jb6qj%{#tDGqSB`!jJ$Oc_@J;5{241R#^+HTTpf&$gx}r
zFhw*RM81~<8PAuNMXQ%bOzm!nT3%}Pl6b&xX~3cZg0>r`F`9OVWmQ@_2_|Wl<Xpc|
zQax0HAi<E_1dDzKPRhY?w)H%L7{m0o-N7*Q7HQ~RuZQ`GIk{E-X?s?lqLrIi+<7#F
z8%r_~ATxw4i83qh>9-Pf+!+?pEa>E+%NVLt)zz1;U$a_QV=(8-ew<`W*S%z5UGoNU
zvLo?;!3H!`k~Us<k@|@MzRZKBf(P_f@Hq`lj!d#QqXVRw0K{?{u9dlM8WAH9Bq=De
zq#U%@33EV?C)A6>FuqB`Bh5UhIbsodXvSPji!<h$G1r}BF1?!mJeJ2V?SD0e>cy+*
zgK|}61>y`usfSg|X@_y=hM`6j-&wLgCWJJLyNP0{)FBLEEkuHn$BiZHYV2ZJz;b5F
z9woWyp%jKF{PInA$c2?cqMFk3m9!U@irhVFT_@4S)w(2lOY2DKFSN$G)@HB;p-2TF
z&Po~e|9p~~R!#uvzp|UYCH19WE~(^44JuLkQt|Y2L6T;RR_JBl`@*mDqJtHQAun_g
zT9s*)$2tNH2QTz8YD<_Ot`R+_-@*`o^WgOVh%vLnYLkyL56zYOmX{d(BQ*UMY>{Je
z6z+_@@xLau(BjydwJul9@`s)!VeU`sn1kUB)n}N&hJ*bk4Xol6885lJ3FAQ+FdD1p
z{68kl)*Gr+KL!;yK~+B+glu#C5&Hhayj`4%+QO4EDo$U9HuVhD%vJo|ZBm<1NQgG#
zv{8ObchuK@8b|W+5X+<sRW-GS-3H3oLpSqnXs=$9wJt1L=WYA^f-Fqzi>b4jNL9K+
zNmW0z{;H_?$2vrdMi342%z;+yPDjtFV7Qa{arDH<MA3KmM3Kb1|82NfGFUCi=uI+n
z{!U=3YJ9hflM%FXj0UDVTt#l0jXV?MRP!5>9R%aUC_A)`^*Gw_By~$Z=*tJiNs{@7
z3|7AtWc&Btb>xVDu78I99K>AgH&hK?>ppUOv#B@pQ8c53;A?lIk4Yv1i~uY%!pMLj
z(UofrtK$}&j1~~??F{2gzY&X4xp=`ZmO*TWWQ>-^LTTBN_6<o|E?#6p^+*s~WbRq*
z9Tva@RqG`@Ky5aoWE=cKuCb+UkPfl#mu3Mio}|5#y2?YKZc3wo4V!X!5qyVM>2FA-
zG@n5O_A#KLY4`ntb{|!gxF1)CRL(Ag>Lm@|8QOgw&3sexo@B;vRUaH+E$TmmdDUf}
z|CiI&A^)!p`PTm^!DN4{kpDL%oUj1(e}X&ozcX#fuiZj{c{0J7KbR-Tn-dG}VEM;y
z8cf$KSTk&5iB{9Lt8Pake&LB+?xb7G;8;g;tTS+vZD-SqZM<nNG`c-@#9L?$P1*Ec
zqcLv@w&H%s;2z^FNWBJ^abTARF{)p%A2%Bl&DtqD9$G!PmsTz=*yIPyoFM9Y+pTUA
z4_B@yxrafZSBE>HafqsGmtgC+S{JP)F&NR&g7p}5wy0GWT3A>wE0e_0b@x^E(t1OV
z*!CfAS_{(PpCKYLfcbVHLP;So`nmpRCb8<jPGi+#qE6C(bw4~S)sp^YlpfPeN*1mu
zC;or?|1(J&QS$Fl3Q4V%E1%8Vx__;L=sl2=#7(4?xKf=a0o1K(M^{Lp*hRH@?0M;h
zgC;;`>U67F>a7Q<qR`v_Dq-bZzo0({Qjp$MHCRDv-{vAyYX+N|T0tsuR#x;L19>Nf
zE0@ed^4V@|T$aA`tK>Sr97Wg2OS`clR2R5h$(fqQ1CRW=K`-c#yo5&^rabu)w9irc
zgi{7+%YUeN@1EW3)p|dL0q5UVP!o$eHdjuTjuXQMDt>JGyd=6GnmlnmBIexRtM#|*
zK1u&~sI(X)@bFM^=@39vBzCA)CV)(HUwzMw_)O|Q*dgjm+N#jhKW}U}SOJ5~aW*zC
z(dv%917<PWkRNz(VnHcpmxE_GhlJajNKqGC1o@@G=RGG(v%$s&{Y<=$Lknx1XW{|2
zb%HG>IaMG}Xsg?)zDb8(C+O{1Q9fu3t(_fHp}T|eV82B*qxLTF5PCK`6zy4Mw-ze|
zLaT1|e-{{)`c84$oVui=QxY0A%K3}ip`1TQC8nI8IxJ-MXo|zP1zMnynF6i~nKKnc
zO3=(H<m%BdSN(mhv3+rsg3aBFmTs@0Uwe-4-Wp}e5#D3an{JcG`2DwLjCs2Xxw9J^
znl?8!<iHyGVQpN;?ye%@5U}h28_iMRwmz;OVTes&H95iu73Ub7SR3m@hZ^fki_o0!
zFjs4-`c||)fe!a4ZDZ7&C~emua<F9`KqvAXEjbOzYwX;1e6Mput;|(fJ3%BfCTk)N
zXrJ7lLi?oGHMBo*J7`}<B^G^`mFPRf)HI&&NOM3Bjn5Q-`$O#KrXlua09x&Yi=eU+
zsp=`~SA<2q#iF-fCheF{Lg<5&`jN=IuReqtB44b{d0(>Tszl^ZG9nK#9gW08Hw84%
zxDJlMw2Hvn*r!m8EzGDZJD~DA=?B_oc-K&~Pd`vjFgd6nC=m#r?g#q8qeqUETMd~P
zA>O5jumsv9$a-@70BYJ0VKUgG8aCJvA)`<3C)nk_VQMR@&EdcvrxQhjS18JYHZ@ue
z3!llV{35^Wz%>imxf#Y=o<r@4#~k+Jc!PG==>{T}CD~bQEbKO#Hq6p$_aDO(wwHFR
zR?f!Z@KrhR=Pth7K@d}eoK@A~UxhNvZ6eeq!B%M*T~jS2?X<@H?S2kXQ#iG&15%@I
zRiDd&E?i=4%v*@a4Luh@F(L?ufnyEa;gCGviTAl2fk0yKT0SIWf?aOb1r*>wye>B;
zOFN(Uk{FIb(Z&jPp>qJ12m`@FmekK%sTcOJV@fe~vhd0(HUbt6lY}3XW2FX~%_cWQ
z-&qU`%sdbKC&03dj@4@_s(#GtHZk_HFq<)|2mpXMMqMry5Tc&wqZfO)vR=QXs_Ex8
zoFtf_n}=DeIdHeZBhhB&Hy5oZp1g2jVLvrG;0FgW%CPLCO(*E0?#0JHyl2&JFd)|P
zsQibX+_N~F0lf|iuRZZNM)&yoo>fX?3{@`J7j^0RNrt9g9@Ug@mnr7&U<*?arEDSs
z$A_NW8x)3#QU}MBF0}1{3eC)od^pMlRhe{Ep`S_GJk?Hv%|Q&p&<(tUVOw&8h{~tY
ze|q)G>I<)~8l%@BTWb#8Zdr64Jl1^inP)Y#ld!NIZy0xc@C9C9Fqs?Bl2MFSFLXDB
z#{&*BFI0dQE$}l3%bn;c<(4Ea%p!8^kaQ@sbWwMw78!dtQD#c91w;BxupUZDs6jDB
z;Js2B9;}G!(%5=L5M>bA)=O@H%^vK1lZ5W!5qD;aE^NLlfN&Ibl-cTmDO|Y`g3j8y
zdLJSb+KGEOc0pmYh^rMA5SLPg2$mJ;H~wZ^%2mr4;;i~Y39jm6C7h~{4bHB<sBm!g
zmC35rH<KB%T1L_guW3!8*htzks9V3#u${NAxd^9Du|Hng86}Ks*rT{*#y2_37`+;Q
zv@kPS0P{w*>N*CxP-WIC!`~fq>g^ub<8sq5$S)Z$;Mc7hgx0GArLq{T&?xDL`Jt6M
zND&JIY1;8xni<yk>-wVA!k*nCghA|P3tCv3ZAfUbi?pm~Jq^KP7NYM4JDRTqi`Y<e
zyr?^Qm{eRq`vX?f8sykiL{PLV5C<$F4w;;zi5Mq}G&fm2rT{VMWEX5L0L`AO^TAPs
z-ElgZKd8axbXHiuWLfiO96Eb5*ll4{8iUn417kF|iRk^Pb#ZLSKTPzpZFPaX^cVM!
z+i}_wG_`_7Qi?=1T}wSBFMgGN7N+A=3Cl6?90H@XU{q<95JMjzhqm3v_;!JYf14aQ
ziP3OcX~{!8;0}(0fcX$S1Rg8-F0~CkL=4NayfF2~<q*APvnTTgRpDC7jmcH08o*Z*
zR){MeEE4liAv~%@pMA;~QFyYP(bLDYB?R>J$8as%qQ8?7Crh*;r*2g0?=6OeZ6vk9
zN@Z%cId$>nxBFOtcad4T?dmp@;Vd5;&^YSG=oK#UESZ8wp@*$d2|?%!R&^D?3z&IR
z<Ukes{Hs(W2^#a($EB8sU0>)7Q0#Cl2Qe?k!jDBHiEq+*7d5qmsR&HC5wp%Dy>Fc8
ztAo}IiH&Y*3rm{Y>3Bmrd80sSav>ltny5C7a3ScmP=9ler`>9PHfq}aIEY%JI97O`
zA`~#I?n7nm+CY)1<qGeCvK?q4#y{FeC;yj>moI}1`ScXKJ2)uU#p$O2=O`6yIT*>-
zcEY8^!?~&Gl0{ApRm$wXVurBsp`WM<QmGV%2$!n(OxA?eqTrdXHDwi{hpr<oiD-sC
z^9Y25n?jrkQ%|#=eFJA5QkxDFLz%HVa0w+2P9CR-EofEfZqtiU6esrBgJ-eZfxH!}
zu`vf9BfvIxOE5s?uz<a-YR+4#@u{X8ED|+ZE|l6Y!$}1T2>zeyNJ}VaN=sEw+B<{x
z#^I-5H?@XN59_+`)Y|oeXh(Gp-Yq>mATVr)s~1GQ%K0P1H=xH-)bzNR;Vy#6*~0NW
z5beq|x20VhHTOBLQmAeg;r$z*sdy?pT57;VQPpKakUU5CASj_6o1VG=HRFwP54032
zMO=XWJk7P0`tHzMX|XSGVbSVlJNSvBLS9N<r_Sr`RYq2C{HhD@vfCPi@S=t228J>B
zo8>q!*jm#xux{876>7cAx;oT(*knr_ZV0(1gaTj);l8cLGp_@l6pA62;p&ESHNoKo
zMD9@h537a~;cqmBQ<oIu0jW}oeBq5H(S?~T#l5AixFb#};>fFvCsGYC%Q|#Y07Mg)
z#|l`Osv-p2u_#cMCWzjsnQcua0@7uc2}=m^&O2Ur>GfOB+Szv2v@tTkV-Go?tzu15
zs%bcg37!~mG_=XRoK`8gH3?=|ZsFb>XYY#ip{demQm3>Nfi5TRO|&!^4WcNyhzJQ4
zCy<f?@x1k1fWyCK2ziBSF3~X}h%KDIg^|yP-pOpdpyd~#+D$t_K%OjWgGp#25R8?N
zrim4{<0maud4XzcFw=~yYcEyO?*$sxRCR#(B01}H32I@j+Jzze4#cn@Czm#@Emd68
zh^C@j!Iw(WXIJ!VniGYsl6}*aH9aFS=k@Wj0@*?)t{9kKyD*_J%Llg|dK{x%ZA{ai
zK}z%1GhlMkMaYm7ONFL@cY@cKsF3VNBB60GD~qyObL{L&1B8b$!Ht97<0L>Ob8O|L
zE7VgJp!AMD+GZ$yAS>hJG`tzj33#JswDB;ZzJ58ax*mltJE5UT#iln&swFfuQhl(7
zOdu*6xF)ReUyuajz>uz@8p^149c^_iJuAWlCrNqnrfDvuZzugK8KGIMmxm#zhk$RJ
ztP`P+sDk^TbnK_qfVL;Vuov&O3=%f!44%0#ZyK5hq2TR7nSz1=u7FZsyd3v32;!O+
zyT55`L&ppTU1_GGO`5sU?+dJ;u`p!i5fX<2T`haq#(^&=GK8S(9NX|5VjEOVWE!HC
zg0V^Kaox@l?@N*uYN^l#E4`O`9?ZlZ@}W>}k~(=1I2>q!wD@_ni3PPD{au#27sqm|
zEqNPfAbDIWYmTT<m2oD7RKb-CHcoy@`wn{Fit$}d+ZcV>lb99l)R^dzPd{K)cLGeX
zRRt?@eT>hvRVhEAhXvh;wx^7Nn5el%n|2k9@XAUt!vbjKpp7}sTbFU>m&kxtOGcvt
zMM+PNs3qX+P)e%Fpuo~?(_5PlBej~#%>_JCt%WhA<3iQfr?z{^Y9b`x+l&*0=7&xP
zsw(Z*Km_hIZ<#br=dyYit(3w}EW~M}yy~ZS(c$Of5EC>YbXi8Iw1_UsY%nV(jksH|
z%QwB1<{&_)hHF!_z1OJM;C`c!fU&OEjZqsoqg-tS^A^EmMF0kt)G!MM6o#?VM4p)e
z+ADisDgPR16OC22bV<n3$LOcJSF0ziU}csym;n$oew7h+ugyZCC_A3C<m8uGC=_UJ
z77C?U3VH^)Yqd+UY7*+_BnfY+YWjI4l!aH|Stt|>HjvrveiWE*w*ehYH3d=HVw;6R
z9Tdn4J5yjQ*COGPpM^rvMh%CrP%yBD87qF3&?zl?%$*bL1@RdS*7$UFC=RnwD5$!1
z7p=kBicm=&?GpbneK(dWjU7a)_gJI%YOgxbZ<1j!3xz_~qYA(XRald&_8~o_Pc6DY
zGs7$tY7B@?>EF_HCxEysE9??hU^oxQI(uhejOGXD$QW5zvrwoh;cZG--bswkLZN1%
zP*T)bwE&F?!boov)D~81V?PV<E;38EJqv}R6bZC_rNv`)<%JCAS7Mc&g+k3jq12*a
zL@Uigq4-FS@Wg6XTH|vdvrwpH778^Bg_?yz)uZYRNjeLKsvRIwJJn*R*`9?$%|f9N
zdTG<y>d9^(BaTEdmNGc-MLX?gp-}a}C}{cPx{GubP4LATTh0^1m}j9-HK6SYuvsV+
zvS3v5;>|*#wDi(ZAC#pV=WOVvu~{fo8Pt>-F*WnEP$=S}StyhvH{isvG2>S)r`Xpf
zrK>t<F66K7CvTO?h5UJx9?yj=(pXi~xV5I{LYCS24wnnL+RC*pTu-P6Q0NTAOYRa9
zzb&b=G~!;nCDO*0INs2>Gx9N{!V(vbO-Xgk;rz0eaRp>Or81=;-X*2-^7HZ<Gu{NR
zC8k4oECoY8i(`ye#jS-h$=reKskCqXKO;1s>wla694NW+pQsv?T>0A1(lwB`le(?e
z&X=eiegDM!kUsMT3eTmP>nuccD+C?kK{^Or?SO0lLfj%LQd+6Ylo%c42(AH5U6q8y
z%YJ}s`_LAOpd6*JN1%9_cDZtgl8qCee5Ij_E-B4g6%pJ<wYu9zHnjT9ax~l&p~lb*
zR6;IvpARYdq`KWgp6c%4O2R>8QSd5dl}4wyD3DIE(s56WouXr@Q#x@hqakMi+b_U0
z4}3@Pz~3s0KEN#&*M1Rq!S*E)-x(hGCE|fQnZNKqF|*sf$Ku}!DhJJ9_<inhmwPPQ
z$LJml+!-vGp-jL>TvcJa2I7fwB(LU#a@`&U0E7HR2=$bkBJ6>OWNizznh0$sUgEq)
z7m@L7oq|KT*>nZJxtnz5g5t6`L1w^O8|b|{92=Jm;T&s=4)QicV`F93F0R|K<8h{^
zwP0s4u{IrP#^F(U(zGh&>0%8)rCi)gQPHAvq2(<(rchX*tRn<85g;!l-qbS+Edj<d
ziQkGCuo;-O^7?tHRPf95m#p&$38#xT&)?!f(-~FjuR3Nq3c`&TF<{4t;%4~VM0pX(
zRk3i1p?HbI=YY=xfVixb?h!f<Yk)+WI#pNR{82VUL8u}<WQ!-ugSriP;amqYVNyCK
zI(3N?nU$+z8|t0ThP4}LDs#oDc%yM1FmIovt;Zg#w_BT>QyIlxRY55XDn>{J^eL2O
zq})vCa<P@Bi3o>Yb(;-%M<~Wfo)qRaGi{mm$}^@YF+dV4G*)}vXmFH&x`HcRh$SV0
zdO;?fS=%dBW}y?5)=vH5MLguHIB!6t0ZqSbSNy?cXmI2h^AUTwl`i=;-4-9DH>z`x
zi{eb$%%lwtNz9~;$*D7GbEl<^(kS_MgZqw7P`VCkg`Ytqdum_G3jZ&tUE@}`P{y<o
zOm~t@x5A|=dpIk++RC**s9JSjgjIJPYJ{}7o+ZWMs!$D-ImXxVnfLv@DDT3A(u0+B
z3kNrO?JEyyBCU-y-AFy5B?6kkgd5IX<Y=HnZFI$sw@tZ=Dye}u?-JG$QbFX+uE^p@
zsT`q#p)(3dr}KN%gH(6al_v;d&vwL3EGUV*!ALBG!+@2$4}}Vc`^Is^6`2TN%2B!}
z=s<M0Jez!^7EP!qE<zM#V1`0(A!V$bKL%UY7Axs^zqrpZMjcT~S&TDez%Y2*k)dQq
z|0!bmbNvs~pM85|$~%RwedEqsqu;vI*68&~f^nbO^gp#9c_{Ao)we3Ha)-NEqkn}0
zNGC21dm9%(m<%4b`^Y0erU9K!cccJ;MLM*lWO_kJ6&QH6Vx-HrUT<nUN7lD9WO%cK
z6dA%<-ZU>+&mk$<l-w5<<vBb+X-<`Tfbwkh9-w@ADthMtRUkAyoG11sRe_B;5pITk
zsNhDzR~a4V4@V#hwyXJ6H%&eSjj<LNqRTMFL1(N9E44AOjY*ygL)Ow-!^xfK88tx*
z643?hUL1o$Y0B<Z+O$r&5VXp_rD-L^Fnc7#X>`4g84oE70!pF{zKj80z_OLK^E`B9
z%gxgB#@=k%tjuAn>#o6;r^SVj%AZG)Hn|yR^gF4R1|wDCTDV$ME^aHh$(pYieU5G>
zYrTH{GIs*-mjl72)-MXi0?_c-=nY7rF_a0$bfb-i(Yk;uoINyu<}C0)YYzykYdU9~
z%~)>EID5v~oYUHr2md!YTWLycWep}N69=`j`uou;l$G@gN{?GvLdkert*q}>tt<;x
z*7Hc?l@D;C^UfmO8jX7+JIL6IH3~ajw4epZFNk!q>`a9#ILtR`Lv7bhGd4TON6QN$
z+Zyoj@*SqM8dhwtXJ``)`)shEeB4hY(i`%9&tyx%n@n~T)iSpBN|*L97$W^}<dFe~
z3oo%k!@$u~&^xj*>L=(nPmsST^0J$8azjjrbGph~ywm`3-!$1w?EO_n&<s|ztGNfP
z6zBDSjTq)!e?)%{Y@>Yd&f6&e0?OB{SLprlB@hSi^Xq;6r7Y&B&q8f0eGbM}|1z`-
zZ<Dj(N@~`d`{qVRN%*^7q0GDD#<)I+^naju9uTvf9E;qvUNQ!?Bssts-3LpSAtn>M
zJteou23Q%DJZUsgi%B>tu*TOS&zYdB-&YGc7w1XG8~L9o9*o-Q&<~<*oPFqoc^7wm
zrRnGmy3+Qp;;cMBUY1`iPRl36#iP~Y6l@^!o1~-S{%+jitGa9`(SUc<9Tg{Dp{>4D
zUojl47IS6t;5b43IV@L@0+1f~agXT6LEAU*vr+!clMuhoWO2u#yvOtw-5sZ7O*^CF
zfnFSE*!S>^msjp8&cH8{Q9Rl<`C~?Sau&*aFhtgA-up_?<d2Ido`?cT9g-$8WfS#S
zRtQ~6CWQy5g}y58R2yBnyJ+}sn8}~Vi~E5vvJu=YPxaH|U9X*QqWamJZbIAoWJP%H
z08i%NE9-bPsnHw7S&^Airo9~%b9vTV`p6P)5*iifsxKW*r|sbGi7w0&z?p{H$wtM!
zW&SMP%5iRGR6JaJQ){CC53~TD7444KK39EFt6bbib4URw1pRT?#;7<GB3o{bL|1@#
z*Bcdgd(o(P7owY?wIb+=^cHjzFknw`$~J=0T+pShwqCG3@=p|J-5gs$`cZLr0HQk6
z#U*%1saO&o0Lu@E#}i~dBTU`PPXOI0CG_h@!_>>Wv9moOlDf~^#^#&{%GWiSN;;Xd
zg<DIIu9@1RJt(r{DPegJ$XG2-I+}q_V=^gNfG;V-yEA1mPTZT0)<?xd>|4McC|*MT
zN$C{;%I`_so9ZV>^nT*1@;Wkb!63*+KYiq%{^NLYcIXXZo%OI}QWi;cbDEy;#d^dZ
zh2>}2Fuk<AeDmf_d$^PNab(BI=5p8DT1Lrqc~rccYVc4{!@=DKKvV|AoWk>^_g#1r
zkUg99I<;=-iSFi{>?Xr)bg3P9IR8N1_}L&t7jv201{ZZRe{|(k@i1s|;3)P~!*@7S
z?&!_pzH}$bkoM0<diIb~w2z8oVH|<nPp8msGUszS_!`ovco+W`Kb;UslS4cPXdhOQ
zUV`6%N(Lcn-^hpP;w*$x7Gyx4kOOamdg4wH^*{qsFg!q_BF)>?a`$m!S@7x(`tm(5
zLu>Eu;F_8nxWdg1LI+YC3JghxH;SWPv^84I+r=p%BEXX%FUlJYg3p``De=6FM|?jz
z0=Z<6lpqD@Z0YD0gjnS%#|F`3wANEUP7qskx%f$XD89G+r~Rk;-z4TO*O6ToBC-w2
zbwn>j{a=7eS)8PI;HgpnTeRPxgX5-z)Y1A`hSc?cpL*A8tXiIR8M!1H0~qDS98H70
z;+QNZ@&?ail?SxS<5=akS98Bf1)lPs=)VUsCVsDP;ZMJTf%o4_-zYw?-=uG}N0Aq2
zOsZp$o#_OS%LH?PQ9L2xBFhQfm`_AG&={z6(1x?7QuM*vLsfdNQfyB4%I!Z;X&>uE
zlF`ES?s{A0n<GU7qOTL@B%VgaJ+SgZP!r~W<?rO>^7+>RyDyJk0`npwf$rI)E59}c
kdpw{dVCC^W>M_&lJ#ys_<4s~Jc)K8^OL;~*Mc%gm7o}`AnE(I)

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/column_name_labeler_example.doctree b/docs/0.10.5/doctrees/column_name_labeler_example.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..b9747a6774a8427f8e3c64d1cc28f4bdff24df37
GIT binary patch
literal 35573
zcmeHQeT*Gfb+=>hr@iZsI16dkX1Yo2HTb=?<IpBc7Ac8K5*%-1aIk4G^X9!byED)8
zW*#&1cD+TW6iSuAMXJQB`XNd}p{P<@A%s-5m0HnOw5X_mRESbUQA<l(g!rRU1)?7+
z{hfQ~&YhVz?`yn^T@s71Z)Wa2_uO-T_uO;OxgYNx`{i$ca2Nl_4g@XBcCVL>dfoNv
zX3$}ib+6WLnr_(nNay6wcW!hR*_3Z=2435*nH{zZDQcGO)P2+KT*b#(N*~%zP>u*p
zwG7`__l=enQ?SO^dn#|U%}p(|>_Bt9(5!miHO+IiC+zUac2#@C3d2^gytK4#hgQ2<
zu6fO+n$faD!|_~m$!}Nfn&&QszG*Hs4clFkG=im?=d_!y?ix)~cZ{m(n7(daH<~TS
zEW1_5cCWp$qIawbFl$YrF6NpE-cc7>KWogIrO)`f_mX*?D$eHnaohPohYJSP>Yt8{
zLlz`T>oA+rW5HT`*mxw*Rkjx#nw`~l)nL;`82Wa#9ikmb?tAQd02#B1nqve3UgGx{
z)sz34thZb0p=#8wp=$igUV1&K4s0CB+rHgl@7PJ%ciL<sG}bvs)<J9D+TX51(Bq-u
zubT>E5T(AuAm9+NGzivOfFS2LfX5Qyu_Uon^4yZZU&pZS10asebltd((=8(1YmrWh
z(^_g<r>!$=ItE(3bAGp|xEU8O$y-r&$}?>pV?Vw0Y+(Aq(uK=E^T5Mrms-Bp2$t$b
zXyDhH4QMX`MZuCl&k)e>Sg$#M2MXU~9kupA^1IlKWv^Qf{tF$$T~Bs`ao!1}fU+C{
zsFa@Vb<rV#!!?ie!3*pF;TICLd^4~-r{4MC<PXHZpQB1WDGRrbSx<nO-MslH(7#hU
z27Pcq@l)5E&T`N)NC{20P?+g&m>nwOa;AuJQAA+YLfdn@YDijOEVM%>sR7tMk8?G$
zik_oAEwqSssU3R0Z8!osbN$oAI>Bm!pKBy<>)5LG8tU17o83n8HIbZ4XbS9K5t?_P
zRII91lOjmcH~<>^Bn|f1rIgkUO`~R+fo6Ho$DY;>Ou*aJ%<Fa#+U~kmsVG@oz@Xq%
zD$9}noMYwDXeCtTs5v2)_a&u>W}9&A(DczDN_De4bJ&#)b|6y`#SPFlZ+$pPzJDWq
zh`51J=h*ILMTH)+Y!2+>ypfL}8*ea<)dQxBA=fuTv#vX6g+%>Cx8NfeebFI+X5uqj
ze%dqY)M|!X*JvEJf0mx8LD5M{{TfwBDTaylX)#95u@ghmObBA=EU5Qql47@54AYxv
z$v;ez9NdzhX;+79ra7?tdxJXg?;z1{3kIld(c!J%jVpEVEp3;#Mr4{yXQa*!WD>;K
z&AwL(=Bp_1E5p|q;|j;ztB~zWqgST4q}U|kHr#4KC6B}CgN=qCfZdvXy<?5T$Z4<9
zPqw?v74@gUKvGN1rL@!|Z?gR$Jf%5i_)qWswLr6*Ezb{y?Ch#<_%?KwYnpYlu3_-O
z2bhx5(34WTIU-8L-v_JT8(qYA%Nn9)H><;6!&So+%-#?Nujwaxy;KUj*j~?dwz|GR
zRnA1JQm;B*?OGxQ+xwh$Rp@hQGx4D64Yk;~d-twgS(s3>dd*e{!w5!^v|89C*#vE4
z9RLt^K{OyWUIiK;b%g!^eOYoTB74p2EguA|u;~y^8iz&Z1Dp>w=~l%grNj0=j^XH0
z-!xY7H&G`ckH)K!A?|pekMQFK)6uVBEB@ICJa>8xHPTuw-*!U@Ht{qqbF`pTjX=Zy
zTJ`Da(BE2~*6=T)mo&>LO}#a3Uay(0P<x6)_osZ{^F<C6U2YknRkmH&E#cznQ`(7g
zd8u4Jak4)}iR&Mc+N6Q@5O3hLx@Ob1+iHh8=1oR#uua;nt<dt^vz-j!UQf^&1UQN1
z#yv<4Efv;H-|xIY&^t@{=NkfgY0bCDCfq7#4oVIaO9SJynFKQBpW*qFT8@T;n^gs8
zLBo{DmYu&LU$6_w@fzy4Zo~405zr2}VURWinq<*MpDGmx)`LzR0d@!J*sV&1Lv9he
z;h~~r6Lvvy8fXQRgqg6T6Sl%#y;%q6hq|hzSc3TG8*YYj8iScewP5^lUItkWu;d%n
zm@*%8A4bc?78d)~C9<=P03%tbc`cfr@SzMQxQ_uZAagvoVp?@e3tDE)UfYt^9nGkt
zanRHv<3h8Atx>69e#9L%!BVAyR1Oec)-JZ~+BIiO>Mybw1I)ui0*J)SCj2k3CATzz
z6Rso4m^_C$sP;@W3FYH+1Q^X*6KSC*Hw+t`!0!@c=-we}tlEYRl^jxjUo2%Y!`eP%
zd?-VCFfxc2wDKHV8nKlU^&UBEe;LfC0U!qvxFjShRN1^ge5`n_gIfWwcpPE3r1%`^
zr^kw{29YNC8xk6#*tn2YFpsvYjajsw91Nn-p>b!|yR>;U&<gwu4(l}h8~5R5FAK17
z5+5_e@t@PHLBp}I{~BkgKxO@XjvlLx2k|Few{$&LBh{B0#IzL{V`WlVPYYL0xobdJ
zJdxu!K5<fZmF*@Q1D1EUf8ce?$o6r(>?K>))8P4g<Qgd9*x>mBQs){xLfUB%FE%bA
zdE;69Uk^Jc1IB`;PKL_)H}4dr_utVyu^AcCQy?->;Q5dq=j9KC^lS4VU5>`+MVfW2
zJhu=8?!wg=uA^j0L-GDRnG}QK!Z4DFp*V}wxlj~Rx;>!y)}+bDo{9|O5-g{ZvYATU
z&Mq1BDt5S)xcwA;>e4=m_`*~4k=yAo#}v`Q#(N&oL^Po;T@eIUINr$;?K6jXHmaNO
zBl3wumk&{BOpRNf5k}J!2{Imaxb|BJ5x8NHm`kkO6nSN>u$v@=@%J*pG=Em{>d5%c
zuLn%LBV6d2&x$*)+$$OSX*Hj<3}|ja93_F44ZUDgv}kT|DW=R@^zEs+#h2d%pIGD$
z(^_r6<so9IS%`I>(l$+P({>zb_*280*Snqlm@3F--LMVrdFv$*jRH6{fruvvl}dWZ
ztyIbyj};&)w28TaR<%P+6nv8=48%d*gkQ@E;zycbM8)&@#hT-7s)@u;6sw+U8&;G8
z1RutN@0xDF)K)=;2=D;Pw0fyn;PAMSp*0vDR63tv9Fp?UWb-K6Eazi?&bI~Zzf`<7
zhr2P9s7~J3{`EQBjX-J5&8DHLis3EtiQ;uQw=EctM`X4=^m62s9!|4LNKQ|lLr$q=
z3QkXC_Gr{GcFLCfBJULG&NH$t_XTSCV$+k)^YRDTa#x<+vuhWvhiRG!Tn3nzyqo)b
z$%{<?7DB&m>QL2oXm6N0Ibjx-wdYc4DBZgk;-w+@&W*oQ+5*>>^7+Q8fw_1zW+9o8
zhVq5MIh$L$<zaaZRtdp{5Tr=RcNr>I)9fs)8BQ=%O}lEr<&>&Eg+zR#7V3yTRZV{(
zT@<CKe`)b_r^zr(S<;O|Z|GlI_P*zs154y`-L@hF)2%Dn=L;ytf^3h0rDt2nHP;P}
z!gwhMOgVSWUI)Tne>zQWA%<*D;)h<JNo>0{r(KU$XMx%!fL<lJF+I(h*PBMGMTRgs
z2}k&{b_Q7GqFmM<z)xAVW$o;ZNVUJx!30LNS2`F8qF|qXrGw>ku-Gc$M$$L)#@k|k
zf^Q5n>c)P8zeeg@KY<v5(}v9uE~~VGQq*OYrgHxMJ7wk^g8h&Uo{wzi%z{WkGiM(!
zf3TSYAK|^^y}*B74JLx;Pva?m5DwXBb{CY%howg!q4CS-Y#)pDp1~s5XA+qfPfkzY
zD`HC`R!`ZGi?4$$$HbC;ToJU2;`3?>c7bA^)8gZbmU+L(2UKOGt*D=3kV=hCE2*bb
z)8G+IVmPEIT3mHJ#!mz4p5f-1WY$IL;JZRj*jEI+69P`Fx!30Pw_<AU#4x=sR&#eE
zb*`EdJ@EEWbHBP%YVLBL*hdXET^dH<`JVZUy!=6Gj=jVcSEPAFzdi?@^mH=FlyMG5
z+9jdZR+5TQXc(@UR`~ym7o<;O1+tQQB9)V5qs+6FEz@bm>f-+aqv>wf%4`2(-L5$d
z3gT|}cBIbjb^;N%N4NXbPIbHA$P@dh-R{?i5qN&L`xRdPz;3r7mgVu#m)znb#(z0y
zl;b2DCTSXazn>?AV$l2SFp`L&_aai~LQhEL_JH1}cM5v{oG12Cq4$r&2s|HpU+3iy
zgx>Ky=n0LhD?2fU->}Kk5d5D!Srmide-0y&7=r(T)VUB8(z!h#_y_$1m&Y+>NG)EY
z*pf1;WynN^0)|Z<w@_noFJ@2kjpOtu5jIS_p0gfx3fJ8m=iuSGKS_q`uAG7BpAxI}
zU=Q#LU@;(eFM6A&M0kwiVLWPA#jJ|<|JAX)4+{kGKdjnYM{qA%?MGYx)_t#yXk1A<
za}p~EDFllJw7PWZVFM3hai(V1O~m0$?D(ul(Y@}J(K5s}T8yt@ss+Eb=Cwn<CJ=^5
zU{|rnB;2B~-I`;puk+Bg#@)L#4dRY$$r<k`aZuZH%NnmT7CHu@*%I~SKE^t2$ka9r
zrwt|p4cn7y*HB*yFxnzo7}!m$E%d2mzE0B9Y7QctB#o+>#{*F}Fe$_OM!VKVR+NdQ
z-s_S#M2jHdN`=VzX4Bh<%EMMRJcn)H#S0QQ<fbGlYe><}lJ-DS*y_`=_9ojk9IUhy
znd5?{qju~=mP>|LTnd5qIwWdO_9dq)Xm<w?P$e$NpsYQ*j-3Oiv^utV@;yOZ@PJOl
zm*iN_I&p<muqu^HAOZoE2k(E|3Hdrz+IRpu)CRFAMY(tj!2^HVIu>yge(=K8C_MeH
zw&5tD_A4LO?*`ynr!|#SGA)r+(csHF)OA#3knLCz&<qd8nxQM6d_-YQ^<JsG4raTn
z;+H$=Rx)(^>nK`!K%DT{@?5@#PzA7FDR!_v&lIoEw_YxKEYU(QpE~!)+@w@Uvfu0_
z4Xgyk`%0}iw(c8d%uvO#;nMf7Q$jCDwW(H{#Ckz~Qib!nZWOQUL^RGRiY$J$gB-t5
zoa5Q_@S9*f`=vksL!s!S#rZr86lDy81h08t`}2EK2>EpJdXz^qSrT;|HD~|&&s8dU
z#*owjhr2&2R(LP@v*I#1KAg#=3S`6P=wIifm5S{0IYykU`rSR#D2BKMzFb@aCDMsQ
zTa2n)He$y9@))Ymeyeyb%TYTIY2qfTIcm=S_1xxm|L@`wnWL~*j-?*YpINUIIW<f>
z9I|t2xk~MG$SLR61y`xb?9nQ<zuYM=*S%xg5Wdwwq+s~=C@+7Ym#cBFX42dZlQqpq
z%-5sU-8BEIn`;K9el(ws7PF<J5RnrjxjjKH-bt+7Q9BlXm_^1|<Vx<5yf!K3ZF_i_
zmWjP>_ak+#w@tKC8vH}7WJrU!=t_n(mGgg-T!_vR-m(%o9&lcgSyIlmQWOeHY-czw
zy;*QL#IA}OKU*icZvZ*cdllk!r%{)Lw@e9yU5vI5@SPW8y9IHAvebqPQAmkOk$fe$
zUu5EP36?L?qJHi|g1brVnI^<1iDRiU9Ws`;^&xjhK(=<t4dLf$-F}~)7^mN2wj84-
zJT~O|lO0ZauHrLYr1bf@O>=DYjB&?kTqh*YH#X?cNKVcm&cU6WUr9PS*?(O&wHjPM
zIB&={H^}V-BcZy5g?(l1t!BtKsgtOAMKrnoFY=DLI4+KV2($;%$s@O-63nJ$*DQ#K
zFEd<*KdRf-t5i<mea<RW@j?1pa;zxI*VBNa+~lRKR8or^6FXlvZjB5QrpK+~0C@U^
z7#&@XuA4U3Kb)aG*x5zgaA(&Yr?iB8=&3)iuj+vuX<*-(gDX`4A9Y^Z0d7$jb$Sv^
z!ag9DoZj6tO@`mkZWF(a7m1KSLYCh?y(;FnXPOMZpD)huxah))Ad_$UqvBA0r^oJ}
znUpe6ggFxat{|ssILzB0CXHj94b_l3IjM`UT*L~pP1+9DLp?@nEC<Pm29Pr!TfuMu
z88-D%=m#D)>{Y-6X~&+JqMTeg_H4z7HUeAbIsyez0HJDzo2Kc4^y!$ynbY{)L)p^Y
z(?Dt*D(aYqi#(i=n5AK#ndvuif)WB|B9?@37LJ(FuraOeP*9Bz8$8M&jTeOCqM-*-
zizw28p^TQpCqh+$3P_9#(W<6q@(tSKJDC<w^xB)&g5S;19;^k48?FV%c;h5kj$ZWV
zcpG%#<oGC728Ah-JOhepp6Nw@o~L5$O1(11v8?Fuo_SAkzV=e5P~@0+9>`VHiDIt!
zvm(Q}Di`M}cbw~k#%&%$9xcxK0Br8$NOGw-*YjLa_E2W3Sy}&d{ZTW<m7+w<?$e4a
zN6UI~?z1v)Oc1TO^C?qfqEg}7STeB(PZ>70inAdH-*|G89FF^dx8QKhZh})W?x?D>
z@#szeCft`8siX`iqOnU6<IVYEaqg@i+90S}>W5cmj)aFZkiLeT2?MFX(QI+{$W`%;
zq@BgiJto%hY{FjP%OC36gVLCg_7_e|HhowrFk5K)3u8)n*TmvRtS#ZFpflKhd>}Oi
zm|+s5@_(9vRKgm;I2o}fVL8U1RT&(Vf0dyy*yf-zxy>;t>#RsJ^{zj6=-?SSNiJtn
z?-gmz?bnNQi*rk3Y+K*W;chs{{p+?v?mIi>u--ed4G!zwAX3m_{l6S2gB;dZHn4gw
zwFo{iL(zGH#dn|Jm_4zq;grpVwYGb0OUHR6*mp|XNyT%x>EW67lt#}uy_`~<y^*`P
zo~Uy_Tp*V7ce|HXM&GopILq6$nBH_O4$@8SyH*t$oW0-v?W6!Ql&*@+2su;2m7Fc=
z`TLSz)*H96mQaW6<-TPh&S=AK{73Cm@0~8cVS3KHSLA-}p7ZV%xk)?asaUzhcV=h$
z0G|oVmG+U!eWeG+sspMd(>&C)nG+jc>47-5;uaj8@T1rRl}SQJ*&fXsu^)%CZ}hVS
ze{7g>I}T@#BXw>#Q;gwh(`blrrZmchRb4cknWl1KmhKzr6Kp&7OwR5B6?u{d=AdM8
zlQf<p8O}GJpg$u8($2*>D3EsH2r;fs4*tZG<hjM1f;_RfA1Dr;AvPsyuy_&^3LG<I
zd36zZ#c|H?y{fwK!-7+~91Fw)qDdjTz!a;(lj*S+0rL~=EWl+ka@BU^JB7E4W-erd
ziOEfJb@r=!F{`X;);kTP_iQYSuCUQes=~5;reYzeBDnGY&J3l&Qxz(kPgUM?i=`Q3
zirs2Xa#|$ayL+tExiE)&j~Wu#5NeUhw#+Wn!i9PCi=8>}_7{1>rvWnZQ48-UycIi9
z>b<=DK~o?0_SC#b;+|ecr-EWq6HOPco|0>MbaB{tutE;zMLLmBobAJd838x@PR5(q
zcCdsP)55uxC-GuK*GGqudpvYKkJPzCmuQ1DxQ7_J(ikl|bfu|WxF1MYoUp_Yq?Y19
zTZ^?WL1I12u?Q5jf+Svoqx5?B(woefNkdPfV707-ul`Z%QA)PU-^leSa@9?OmDAYw
zKH6HAzAI;FbxEJW{P<gq4Y_RQ9F0s*M;Cd~7OJ&2_H^-mL~_s=HhB!%#@7gC^Np|4
zpOFUlzm0S7!TohKxEE1|89HZnOc{O;4Bzy*Gyg%gE~X6sotHmQ8GaZMUD~kc$?H{u
zy6rEX0NA15x~_#haZ=pIg4E4x{S&4aHwFd{=L<cY&lg<lLtO&vHsdPBFITz;CUaW0
zn9|)3QUlvJR=VFuljbU2(bh`i(DH^Mly15&6ji!uDi<C}>%K@ua5YC7r4(tD5;RIl
zXcVk5G!q){IItph5Dm)GI_B1QLI?HJa~HUN=%eV4Mav<%4Nl;!i~Bhu?j#NeC5wU4
zc$`{tzVRsi8A-9dG0wpi+hau)TZYb)JEqv)35IW4u{}q%E~eP7@bU*LwkLV3%EK;t
z95uu5?HN)hZ6CoHHC&x+=E<{|Itho7YOGEwNS&)rgoH;{Cusy0RVQgG7cTA?jz5_v
z_fgN!`1mjq&p$uoW4!!<IQ{{47Px`jf38+D2R`>?Y|>6~cpy01%Q!L)YbO?kLtHwX
zmlsY>M~85v`b6dc7@7ASZgzEWPXgV?ctk`{pkM^<b9D?89GKec1gElJmQxAJy3Q|Z
z)^+@%W$3yd&#7Maa!6~9Kh8sMF|F}O!(cep8lOVyT&*GSe0yk(%8qG`Z|BK<RITxE
z!$>?|YkZTJKTvC2=0_cpuOc;vrL7h)b+```{>JIFK9H^uaW@LQApGQD{FPxfwfShr
z=%-P>XDY|mD2DP~AT`k9h*AEXUMLsxzdcai0Lm37Od6})*5)l+N?P0r6Z@FluR|Va
zo-*Z!?(%OWH{V<!3pG({;@a=nwvVs<R+qrv)4hX93+3(LU8X$0Y@J#Q*RJ3;Z&h4&
z;Wji8zooBZJ;9F1Yfg0;lC1?n=XtvOV>g?vwS6B~s_0SrRkmNgq3hQ>t85Z$6sWfZ
z9d-y;#M4dCK^X=j7FN4;Tv+)wI$I}Dcc$8_Y--)awXz28I7j{|OjZz9Fq$nq>=VV{
zPDu9}9;c(nw(sC+CiH4LojF8bQQR2#^0zwd@S5j^n2ei=kLP!@8M=oZ2es?hF=uLa
z@Me|{;%U)6F?0od0Fw8JH>P9qH@euXg&Q_;g$b1yWr$zwhg%7E1M3bp6*-;rcd%*8
zaN@@?b_gyh$SO3#b|4dtv9Y>YZLfpg?55$nkQGv3g;o=9rszC*lPcADp3RCINO2^Q
zN87?WY^oiul^!YuHh#~iKkB$S)bn+mZ&P=0MK294KGar+9T0&MT~Qh1R66Wv=1Yb|
z<DKa0Y*x_i&OM+0kjcyrQXK*a3JY4u^M;FgXXG8dkT`D5Wp|ivhuw(-cRjzZ*Uc92
zfnsnaCFC$JPJAbc*ma!HD{pe1H2`*9y<&IR0M$&r-E8SG@E}<Jg4VzKIRA(U9^h{v
zT{ocSSFc)u*{*x~bzJ$o$`0ZNU>qa_<g1(<B{<`M!^W9X9HIxv|3cSG3g0!g<b>=H
z=s^2X8H$VH5PQ$Xx0xuJPUi&&ovR%-N54=AUBQbqXd9wdN0aaKjm`KG5Isb_3dnKS
zaiNieqo=~on|FQVyJKv&WwvyP1<^R1SVh&@Pj9LQxTo&HG%E~S!Sd45=H_NuTvA*1
z{Pm@}xv_+l!BU6aML9St$f4stcQjOphMC0s(*36&gk)#^wOXbadZUV&m&JtG@(`45
zGhE}v&>hMsVk$JM=tcF=>YSfsM}f(v9(T`}eLZLqLSA48gDqS#eO<Tgb<4qj!0%qi
zBk1oBnm9m9e^(p*8rq26$)Clej+>>8NVG?57PjNn(0ro5LCRc&$bGHdLJ_l2N}(M>
z{z4DD0Q7j+<hTY5NX2lNR7KFPrqdlXamhm+eRT_ES*96++FdyO%ebbSP23<Pm)CIq
z_L%NQ2a`88DO3ddB;bYf&iDz_I&M2%H=%L>hC?U_aDf&lC}06$(76F6mU>GT1b+=`
zYw^Q4b&EQGKS3|W??vko>*2;vQs+&K7SbnPibspaMLN)2-uhMODzOqx{7cdOtDQy*
z8#<WW#9DlZtcWVm2~*<su1>=u!pBuKLB$=^a40L-X?%(Nd&=QIY_Op5Maq|mS*TJH
z(T&C%$fSv!Yn(JW*JR;YcU)tMnnBtL35z0`sncdt)O>V*JvAm8@Oj>TtGtO;xm;Jd
z5LS8RRynJyoRw8x#A@4Gpo|Y&XB!_Q3vI3OBL46T4I3}fFFGf_@p1Y^`>Y$kNxvxE
z()a}ZqKHr9lk|(+kd5D>U*th(vzcUX<xrcc*%;3VtAL+)LrPhu6PQlE5$S+*^zLTW
zb7BR+lOD;uj8jjgC{D>zd8WfD`uy%-8qn{`(u%(9!e!odXyG=g^$yzy)Hvwjr~}M~
ziN~Y&AA#&Y(0L1#9zsh{qv&!09dAgT6o<A%BS-4>zW6oo-}|J+<aq0pYr0N@TQm-k
JKeJse{~!O163YMp

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/data_labeling.doctree b/docs/0.10.5/doctrees/data_labeling.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..a0b5748a4bf4762be5737efed2dbfd068c4dd44e
GIT binary patch
literal 51622
zcmeHw3veCRd7dZ|BystYXo;d8wAY{|01R*eKJ*}LYC@5a2$2A30+eWz%*Eo~1$LMB
z?%v$pOAvNAm7F-0#%uTC>&djP#%>!YZPI4aNoU&h5hu;0oy?>&^*B!YNXNCOoqAlm
zb~??B8@Eos|37>7?C!l-+y_8WGC0!3y}Re}zs`UD^Z)-j=e54ieg60F<A1?EuWDM(
z?Yv$pIc~}D8o|zzTdY?M$8UVLG5mVtPGczOuj$L4Tdx(3MsOcW6iusKsu@n>243!^
z^1fB}@?itpeZ971sOn~4us@&I3MJjw3uS%5C|l0bM8n*1qY>nE->+E<bss%bPg|{$
zhgO3f#j@^sc!=+Pj$RSpc9!Z@^<zOV-mDpmq71%RrADxaIvJInH0r?)Utgjs4Ko*P
zL&rwr{FY#QRR{Eb!`vG57b0}=YrDkq`LQdWQS-*8U;XH@lgG!ZHP`mWsBL^(w8}<p
z4As0bQJh~ynB{Ap->5H`{lN~;DEgM`M1(Z^%<Y8s5MK8AmR~kvuY!XYh&Dz|8=5s7
z&+@HXhISTR4l}7xW!s!_o5-3`@{<kb7&;m?HS;IT_nTYIff@6CGxY`Cd;k<S_upuk
z58?j<`2QgOf9yu1ZobzXM)9Xaar3bGzVq7{gMJW7U#jU<GY;rWQ;z1FmZz1ig_>Sl
z8Nn|@^Nm_XJ3=(lB>j(QU<=5o`K|_fTmA|j6x}5U$hl6Q@ftG6gU42Hun}RDSqjjf
ziX#hZ?KCP?Q}-+{4*I?nfP%E+LT)0sRj1&WW}b_;oK40T2@sHOJb3RKxGTKYDw)R3
z$YkUP%>ia00nQ8sG#?V<*zCJ{ZOeW4y->Hxz6BP#%s1wk6l)D!)ioY`)}jSjTsEzu
zsTsHQa$UzD<r+n|QY{;|HLmHeRPoqdjN0-HKc9Qit!bWLs~7!x%_won5zX?ol0jmE
zVYo_5)R3X0$D&)VSDd`|s%bd6THSG=GomiE5L|Au4mBa(7>jznj6UKbs8yiV%GyE#
z=UgbbdF`CLY}_(xLV{IAAg-6o?y{$$bs@igO(&X}hE>ztWhd5)QOoI`wrrHkLZZ#_
zO)|4+Z5)}S!DB*HOuhZ_DM!c7R-+^M%_C<?c32O4M>I?lN?=P`6;e?Im$k)a;ns$P
zz>d}2WsDifEUCmJa#$UqaRpH-4Qr^Y`z)_T6Uw!S@t~C<gQD5GlNvR7Z4R0?$HTI0
zd44p~LSbiB>q%Amk{sy4o&+jV&FzZemr`<G`$Qxq=dzM}p?4Z7FoN}HjX;ZIVk(m4
z6gwn6c1i{*C|KkFe7uRZHNGIm{Dw0*68m7|`$`kCy;)~(Y+UsRyB6x@vf&p<aAUKu
zGJ^W)O~LYwO6+y8<I2qWnTxN^2rfmFm-+X|cEZ#ey^rXDSDN`N?K4fPf&HlVOKX`%
zzlcJATeM9xD@-Z#OVK#nar*4p%agOSX;{B3VU_O{tY1cZztcIa??JVH*%PdTFPxsy
zh8A?^rluE*Zr$-Ur(Rj0>F?<H=+Wo2lC@;{UTAMBy8ls#OWXAou73oe|9$7UK7?w2
z*b}b1&Rm{6J2h80bNcexG;h8e;*%(&VE!&T|6b=XKa6VsqbHd6OirJkx=@f3!%#+C
zu(!c<3jt3Rj6fG<G<!Q0ZQJyhgW-Uw+4rMnPdIG5a%Cz_aQkrux_GZ3=2x11s4Ivc
z0mP5?3h}XXr)SR<E?zF2pZth6R4F|@qIsr%ls}I>{mh6~)18uAftlf%BbwnC^XUO%
zA5-{s)0(0NH>BAox}wHGP-DDTYHXXj^va3UfU&0(e&W4?m|to3`K};-6cE3(9uPm1
zhIl>+@iS_ExA~Q3FLVX*V}SUldWCq`^yxFJjq+s$c%qo1IG51um9F4_9PrnBg@5~{
z$;-1B)6=v483np5p`hlMn*CS1g8B(S9rOzI?n~z`&P*0&u1vo$c{wdFUsA9q%P9=F
zh-UwCR~Q@u27k9#47SeBHWB?_D8Tu(f|uWD_HT6s?|T97KkFIZE0-^%3H{X=y!2YZ
z%WpLMYhA(nKEV5xUg6z&WwtOocY1Cz4fMAa(5j4roL_79ce;XH1LWW874m&&FHgOK
zL0Pykb!KvAwh4hP_eZuvQ&EKnm(uL5RJdd7;r+nlFM7pe+u0V>Kd68g?-j)SO0ys9
z3gQ7kd;m3jvv=mErklt;7K51ID~S1(W*_Ye;=_P=v{#6C5{+9y{i1?el~IuMYt25_
z733cP<Y#+@e8<$x+~iBm%KL@_JSw8#=C_(%=nC#90r$0D;qH6!!o|~bX{F*TsKWvZ
zW`3vHx4MG)DZpIo73Q5EzH)kIZffo$X|O+~z*c1x<osH*Kiw7NgMj?aULo(lc=_zq
z%;^icTnhAHNBBlOhaW-yR^a~<!L8Z9*cJFgsQJaNz+c_D5^NVflt!@S2nTAu5c>DY
zbs_!xPfB-$^sF3_4}uR&l_>JExS~x`0LFr^9B%Ac<(emtpd?6pg%!1aPf+W3JE9gM
zP4;g`H8@r=5|2>?!_)drfLTT0z~cBBLK03%vqD5D5FossB8CWuPzN;>@Lv_ce<cE?
zoiLePE9YZK0Qml3PZ?gUnqDp}l-=UZxHs#+S(U0=6JZJIZqyJkC{=U0!&=$ZMR<g9
zj7K1H{NohL<%vf_11pHYau79N^ll9d^Lr6>gbO(;$Ife`HpC<{Y6XhVoElVK<-uX<
zwgM72Q5Zqnkg}1lI~V5y`T!uZ%Y681h#rPZ;_=|e1lvfA$X#rI12U9lMFjn~E9D8V
zs#5?RK4$|#rCa#ghe!e*y&3E*>&{YLU&6EP)fL}F%sAL<T1#db|N8~R(<wZTIIaD4
z5?2x78&AlfQX#<y<WL#qpex4wsO5|*5f~+oHFOyUR^>&IHq;TSJhL6;W8q@V=ZSDJ
zjo=I|^i)eNbR{0_AQ_i>sNLcb7woNDS#NKlKW&??q=|kM4S&`|A4+JV=PwBz6h=Wg
zEUHCe8&5;H-ledlOFA_Xy73XIkJMAI%_uY<6lm`22u-Q8o{ynhU$FlRFqhNB)kXZs
z&{Oeozm}?r(?KYk$=f;wj5RO(gNzSnX+*2k5zbmLh;};utJU-s_}>u0wWu)v_Ov2i
zp-h#sK}y59u!&RJwSjX+xq97y*)<()8krzvqvF<#>%L<cCGWbw=(?r+b^lV?&^<go
zgK+M3|LLcn9z8yOboA)4<0tY1IW77(aNR#=p_b=4*M0ipxc+tj`0*2?C!ZCiwW-01
zrfcw^PiW)#cjEZ5qbE<CJbC=&v6DxS<*z#fH%PCB0)y-Z$PD6qLS#flI|}y+v7xMp
z97m@Mp(aHwkEq*9$uh74`w^+Q3vQM2D7;fNPY!veyId%`4)S0Or)YSm=4y3gn6<rv
z%G1UWT93+b_^x$0GPh_sn9iW9z!3tg3Dj!?1UK*&CF9MuEKLOl5WwLe&Zfj|N?fE#
zMF4!mBrejQJXs%t^30m7?e9Ss+TW*-KgGwJ_W#0XG%efz8^4;S;-5^YR+VoPT%Pg=
zVZN3<SF5_7XDvXpVY&e3&XS?Ib-!BoDW9OC``(EB?O7G8tk<ZZt{pitTh-63961se
z6SE3sO`VzYzxmqV=&g0-e+y3c3~B>Z7)?!0FpamvlE5?>w~6~BtmKs6$5<+Gm{rfE
z8q18t+s{yG0Rd+5@nB~}u}A=7&sxB$Oekp@#Z4YLjb2XhIysF#58>E|X%zWMlzyZ`
ze1ux3x#q`cTAjtpgc54P0TX7f%}ibnS*#6tNILatjB#oq;&fOss$aYqO0Jml$Wtp&
zdSk^K;>q>n+8`?USfXL_^xWFugoa0=$ATE5gA;>}Q5zi529e8CSaxfr0;leffnL#X
z4^GgOtKHG=<S^~3nX~1DF6MHStHK)chr-fw9d&h6k~YRb`!SNFNb9jK{V=rSdQW?E
z300`nXYf?Z6=-~AkY0mEH4<ykc#Sqzp|pC-ScM*(;~Y+1n=zI-vsz^O88tZxtzICa
zrR|7WrrgQYMA_B071iLCrkPl2UYj<^Ca}B;X*8kj$<akVpQdzE4XX>4hzdPMNr9>5
zdTz+q;W^Z6!_hKyL;Fw!`WZo>k45Nq;#ad{gi5bbDJvplay_iQY9Tq3)_)+75oQo;
z%a(6yI`TM0axl*XM6WQ%thJYoQv5?NTMIWE&&35raOn{f^9X7CQ}i(suGwxGg_2dP
z>b`kuV2u8Z`R<sf-!jHRAKic`X;j^!>76=8lSg98pt1$uMJwLTp@GVZs7x&l3~PtA
zS-cK2pwX-F;K3tEa#S-gQOOn8CjGjkUnJYCNZ){9ueTztB*Z?ZNDs2Cjq0P0vCJw{
z>}`R{QtmrZ1~QH^tR$rfWV`H00c9x5Ll?+14e!h3ZRBW@E;>unbwTV=ks5Q2QW53s
zFOfPx4g~$_$U*nTs0OReI|;QpmQ<VMOeaVIwIQL7kEBQyc3e*(@*4t?e-we$iF*4>
zAb~_ErQU-7oT1y|NHqK3SkHvIq}ks;g0#-G_JIzOx`!P^<oUN8VdRqUN?(B8%N93V
z$h2w08?ziNR=u(0qE$>+FwIFiLg7eiFB5*cA!*mX+p&z~gjL0tAtdXqDqc^BP)t=E
zBIzI1olz<JtLY0a*fd7kQyMh<GL**H<ZT}-FCK#leIce{*k6u^4Pn{^L$A?}9;rq;
zt{2hS{u41C|6@nvk?gTQj%u)C3F3<7YCmiZg$rg<_Sg_!JZ^Zy6O4-Ze7ihGW}Cnd
zUT4N{A~)mu#)S65iZnn*;LuTXG_efk$}$@+E_=gS;nPC@$dSA@<zT-^2?WE6m&$5-
zE_xpyaqtgd2-039;Z-M_a6T%@E`xd6c_P}7tj^Uv!icKQ&q@D6Y#h%E_jR7RL>{MC
zH;5$4?Xz)RfaBkaI4*Ry{VX2H5J+&Oea1+!eX2c9D)d+@{Amh|w!B&dJ0x^Gc)mBO
zP_XpeQVWX0+qaMRwIXhSaZYiFxZCf6v`k7u?oG<70+I=~eOm`cgT0MP3uZIH4rL0y
z>MB^HU<-8ZKJ*m{(1F&2NaFZVt0AVkXG|aM3DX^NyhhqFh#s|oUd<g@?#|Dkrc{-2
z6&W0#gWgzlX`3Wz5vVZ4^J=_F6p^Tymz(s9(3+9`)m7aHEBl0C@v%;*WlI0;XA=k|
z{kJF4Vul$O>V8BY2l?w!as~3YWB8WO=Wl3OkC7S94>eN56u@NvKcbjqmpVn4=SPa!
zt+n{1)(|!G;rd0s2u(J;nvFW}R0c`7yj6?R)bz`flkgxjSeQ`AS(z}^nk`F4qg4_~
zONTV?3Fo;CGg0$oNFq@)c%<{3lbAhWbh57lxWTneuZVb*_roxFc|4uDI5#;V=#YvX
z7mG#}{tg6Jgbf>6rHD{Q4qfUWu2!RlhuETgIE?-x*o?l!Zfz<;;u^0uCUy|BTL!O;
z+g0r95BD^O-KoaT)N6FIKsnqKADc``5D-<?e9F8*$a_w>XBeFk>`(Rq!B5vM_<<wH
zm_UGtW8_PQN4>HD_{#_(@djy6yLNR%Te(4dPO)3{Ds4d|1cY~)6Q`o)R^&@bQ4!Hy
z#ZSFx`9rtak8y1<Y;Eucx(XkOHt>WOA5kE^)fem?w}1-P6$P(~G^tbL`D1X<hu)5n
zkin-!i@Y33gq}yV=J+!0%*EUr?uV5a5Q{j}&TZ%TvtX4V*5j+h7Q>p?WYHUK#I#$~
zNk+Cem59h#yC7Tzt7oEZDiNW~gwEPjBCV8%eD-6bL?SDP4Z@#<L9*T+gwG`mpjfiP
z+Ey8|+9<Hvl||R0ZiK6SSy*(Jy0YkgErC$dqI;z;)1rg9A-wmL;k2q%_pY_mDzGfc
zy3~roZVBgNw!4JcvuscXDsofELW!}E-wu+kBIfNJO}_k<j2lJP3APW&l95poI%-OM
z7c&FT_`<Z)g$pAxnNgCad74MU6wHcVrMx+5<B%m)!bvnpr;ho2B~bXA)iHMX;$WzP
z?wuO^5cg4_gQA`nIg2j>9i430&}L?Q({2`w14QCDs7OOXP)rzXY>XnoPZ;o)gS-Ic
zZQ<VFtAYEa2t!#`MWzs+wM1KuVcgs_$}3@}Pzmj9TEFi?>-Sw??rv&WsU%ctmRbpK
zYS>K;yXjvL8RUt{_-^?Z-pLv^vX6N!@KYPG7Wnmq=^R@N96CcO%H-IsT2(r+llEXB
zS&~D+kso)BQW5-iRoM4VSN8o^6F?^I`_HYF6vQDfnf-H?e5e<MU!q&rCks@Vz^zEa
zDOm6f;?%?<d~?|H=fDq`=z})QMb5~0`sv39xt*iPI31*e7LB8WcjCQ7dt#6nj?Eal
zW4Lv%ypm704u7f4XZ<)E-GlM|(6-j9AK||n6y`k2g#W^#$0Cr94c-ZhHYLdl=#NK5
zj}P9--H`$RtD6i8t^EYY?*#@$qm#AE&uoBp`C4M&W+e_hPKT0~w2x4_<3*gV86T)J
zfR<S%LdO1ULe>10j#LdL1O!nHP6+r`BHHy&=dem6s6y?*YqaCoM@x%mIo!R8MC1Tl
z-01Mp5nfIwhD|;<2M>PDK(tJyc*a_Xdz=nIr8LH6w+_OX$nm3fFG2yL8gd-5Ky`95
z*+T&#x6E<wUr7Y-5jTG4BA{6N1;N_4B1UzRd-d%YixaFp_YzK8Mv#u<V&Ory#}z%{
z`#@xhsR}>82(YzeS~M%JUxNzue<)D@)vi$gpR1vM<|6MP<Zzj{tXHcv;Zy3D*EE%h
zl$Tgyom6Xbc&<xZ3gLe)5dO_>5T4F$Nno5b87i5ZbQWtk>#c-=F8Au^LqxqiCVg>W
zYq;y9=r{%8^9f_d*IBK@auUTZ(6O#(9A}!eKrW+U>JFPgdE*Jk(#44ZqPbZ<tAQH5
z6tf>j!ZRHBd3@VSPV6a#JF_($LkLq3)3*M|6hYC}eS}5httZRI--yBqlLUps!wW*C
zxq2w5)!v*Kh(mFBTa;xk4Dn}+w+Yodl=u~zSw`_DkAVf87cR^<#48sp1S?mda{Xn4
z{Ct=IBARhzReA0bXhTlWUP0Q;QSRf_O~Km~Jh{8<?g(C_PT9o!H_)Z)988+toz%1{
zrzm)w&Rj2zQdY+(4oqJy8&woj6DsLK;qvDs_vD!qQ6^G&1O{xhSdU{OJ^>Aign4R5
zCd-df*2E|r^_-nKDzh_VIrOS3?0`53VZuc^u`@fho^nYuvSj!1grJ>~W}}=zo1RDP
zv%e!|!*6#q8<J7`-=i92)J_j<NtizWWGa?mnzlz-ohmzs6{I2!sH_Yly8pxan8Amh
z&%c0l8pbfpAJur~o2RPHb1F2hAtupzGLv&IPUEjxoFPRDS6_g^g+tQAgB0L?Fx^sg
z-1&Ggy8#HOoV<-`9$fiB#Fa1;HIYcTD@H;o8~qVg6?i<Tw;;gT_Kpgf97+8{5XOVu
zAz_(Cs^!%4H6b2Yo4XQ`RctFI2MP+t@1dUX`-x73DjIG<N7Y(TM=7O@)XM1(knWTN
zG%+qeb=kOO8Jt%+-`b3u=TVhgh3-XZf~GB1oEsm@)1(o$Sa-xBTRCyn2k)OlFf|;A
zhRXiVDWDXOg7{OQGn!&oGDY^_YS>8WIM5nf)gQ~mGpSCpGpNIaV1kTge!C!@YBP{e
z)`b6P$MlwnB`yzYV@aW)V~nSI!uVJhTvvmko7ycX+1{8KN{tC5lp8pt9!IMo`*F34
z1ilpIU{B5$3Kp&xDir1?!bR)~t*E2}IOedW+|nYB1)|raeKb{7Fijo3ZV~nA-ln89
z=h8KB=7j7%#XqMT{@s)kd$eO*RQEv_mBBsgJ3g&+jrr@ThT0md0`vAHW`rbWiAj~&
zwuyTj>{0{`nM28|9A2I;gjr^WaHMmr19BvD&nOrY#Xz(r_8Kj$h@6#Does4k7ZUB2
zObgIk)NQi>9cbO7)EN)8f=6+d6~o_&5Ng90Ca3=|FtsrKpXdrXr5d`c4?YkCaq()8
z)uY7f&ol77vHDZ<1)Aq*Q#D;k7JBtUJ9I)@EbB{b?$S*@<aUh}!umiM#zR)#$me1L
zfk~GS^$GK!aCVt^5axA96=RJdCprw2M9L<(=U_`|y(hA0Cq?(M)#;lO;NMS4LMCIS
z0RNs8VE1k_OUeFS?;5gCcy~T*@-%FIXB~zOG-UH&q3PDr%UCFe!-zHzhi-H+QiP^t
z|5>Cy(;D*IgjutO+~3@z6tM@=u%ra*dnsDAC0O5KDnT<oH-Xf`t`Jia(tR7?7eUfF
ztH+7e-(n;(@m+H=wC7uD#(EXYc$_vN7^~NC6R3~vFu3H8^<}g(iDM~PP?U|F%z&cl
zQKp%S>S1naN)&>--E~U8J=6+wDRldrsge@A1KX2)%VdMpXZul!*Cww_Xd6OeC6pW0
z1LTgd=v-uvlF0650%X!^O_BZJJaUR)u2qsp>0pg3#0~Q}d;UVpjq`R%D9JIEl0o}f
zLZw+9^>G(c7`CFn6!$-rB0(lblKUqac_^J{x&&Tvx7!xL0)nD*?j0xYJ<SMY;<_gH
zCgu_2p-quZ9E`ZvbZ9junpVuaL6|f%uRrQRGH^%OWr~RlDN1A_CYe}Z8i0vdZzUyg
zZTJ=cx~L5LQ{SDl?gX*!8iSpQ;hL;_dLGxh>bL<KtmD({5FOLJdZmK9fs>X%+(t+b
zxt}E@T5(M_9&s&vkmA}KDI#RzB)RrUMju=o=?HYiu+Hj%;M8O1yn32=^*RHaiPxIE
zdTu^`niLpDKco2^E)gNEv1JX^CLKJLX4l^*Jet|HH`%`A+3t9+DaQR;iXxc^O2+*v
z(*le;(g6yJZJpEt<*B#Mnf44Z?UxzQOq|wa+KG9}Vl0r8o(};7+vtI0o3O8SI45w_
z8R<l@tNHeeW1Tm`+)J5952TxsEZ&=hF~#Jsr6`z55Xt1PNG1=gjj-x3Xs0wdL#=nt
z)MtsQ|F&DEuI}f+edX|T(rpd60|3jU1*=Gx0noknw;SemoT6J_q_4r2JYNK`K<fh)
zJ`e%X=@G>DR3E`U9?hdsf?6!%DPF1YUS>p7#0@h-ng=e$vNf6`o2$K!2Bf`v2cwgt
zKOLP9wj-*+0nQI51Dt=56(0m~ql6Ach>SRAE{t<>;s*!m&cb$#qaKDlMY7K-!2&W_
zV%a_%_l&|V+;lSPnQMxAestroiVdTU>;;m0Fk)P*80dl4<dw?iAqt14iLYR1*Xa9G
z9kiu#2&#BwRB%$YEF+`g^EL4pY*Pp%Vo#EEG>6GkGNa&OOi%QL=`iP~%6MO<07m0A
z=%7*y8YvZ(6(2oCs#cEgM11sh6^fj1ox7GDA5D=nBPuHPo#uLsicY5(l#HevTnz^)
z6bD-4n3955Qk}FV?*!S}QPFJp?~06DJz<v-!(5faO4z%p4be?gtv#uKAu08C5fi<P
zZ(_8Q$sN0Y+*dJ3tYC0U3VAe=);l>~Ilw6{BcZsbaoZ?jE<;h>SwRjtrAE=F5(<bG
zacVGMD-!0LljV+W*tn2uHRo;c_5qPHPIHPHa_p=Yk^OWx^7N)0E%sd`wvxlU*(>Ci
zu#FpI?aA+pB)^|zLS<?oUiEw;>S9CUvANdq*Z_fyUPHZ!rc+|L4sqRo91*62xbCkr
z)v+k<C@vdeq6DqG`rtc3(7DK*Ba!(B418}QQ-q6;v*@uxrh~TlvP05;d^9G_`fTgK
z4TUsA+-hXevA1w=Am6EE(Ft30LCZ*vukvegni#L9gkn+g+Pl_gO328aDR7ml4(?2T
zkg^N@Q;H{<B$i9>KbE5O(G8@e61a`*1+qohbS{=JlUROr9mMjl&#TRu^V*QOwo5M$
zBgVK0S7|h{Mn}NGjT&tRSuk+43QlwrnI$7RT^*7Vv)OU(o6O{+d7BIY+^)u_#f3H5
zu#dV*OYyx5VoK<D$0;f0o)lQP^))5>_wP*dy)DuIkre%(zeiZ5hRMAG5yk~ksq-Oq
zfriwdufvdfYreoP<#3?5wajsa(LrY~zC3$z1_P;vbOq~UbV3idX5tWJoWw&%4y`$w
zEQh@1WHoaxgBYT`4HLK1`d%y-C_TE~0nnxf+JjB>m7{H6itwo+H{8vTdlHp+6&hp>
zxx3CqHSq2&xG;u@Vx14a85(}?XJTin!ZmI4&!nRO8GIY^hUw(d^%;N^WM~?JO*egi
z`kn%hM^0*dbs0vvlwx}(7o{zCL5{9FZ!4FSq6pq*Krjf1CY_I;57YQL*X{UOef@0z
zIRZ-d59#CoQdDZY{r~9ukMKd4K8LX$=?V>FJufC>JqP09jFusvL<tq}$d3GQKqVvc
z^T?(6F5u?S&#Lbu<!XO|c%j*^rC5?F+kB<gou~%Key${9KUdG<XqY*y{Sq5~Srg%Q
z1{|#??kI!DiwtHlqsQVw#%(%NnpTL&;w_bNEHf1eFF#47H`2+6%3e<%&!5^;mrKGD
z#pP7YNo;+DhHKhfM<C`@R3uLI#6~-<&4@#e9Dy;LXYI{)|L)yJ&6q}d_u+;S^_ggV
zv<k63vWhTCL+{}z#uk?~MKcaP{X(jX%t0$BB!Y|0y*=^mhni|SNWEASm%9>z_?4b;
z9d3WXMXE9Api&DOtv=ykR*@GXOutH#npCBUFxw|uhuPxdaBs!gemBLTWSs5Mc$_VP
zgcSKlVu7}J0VSC%^nZ}*rY)f-*w&7;Wn*wx#Qf_$Vb@KpOv!sUwIRJ}s<kKhH<E(C
z8EK>ArB(~~rPePUMB29YCr$0PM$2Ew(Q-FqUP=z{X0MQ6!nX6(h)(kRLnc%vO?fr{
zgQ$zmNL%Ce#vMe_`&gMD=|()CLM2w_-9^fjpmkRtd?yGx7nvf7%m4%5o5);>qED&#
zP^%RZtu(?F5<+scUJ6U$fOJ|_kqcH#!78k_F&(6|SlcnQ52vV|Njz!hPD>$qX}xHq
z<YwKPggg+Oor{t|qBOM*qI9o@o?@rr-m4&{#JR)h*zFYG+Y)MD3iZ7bi&A6aUV#YX
zf~eH_kXoW4Rb7W6^$v(P#YWdV0NT_*>pD92g_K;hHRL`ohupmtg;E3W-hvBbh$z<i
z@Uv+6{lYp7zk4wJ6dP{$AatqW)n#z(U#Ga<*5LYAa&W!PF)1~g-ey2B28bq|51%p(
zpWo_s_^j@-X)ib?9hhNoOiu>K9!UgVT1Ll`McNIIQOrq!J`@}XPYWLP49COy5w{FJ
ziLzlHGUQf=q2ORxNE?bu@kZw1MzDvsCh&U%ff|OHJOI<&D)>Tc`19L>N5yTV>bB)l
zVPS=@vBCn^{y)UV-CpoW%TiVeWz0h;5XV3QDf`8~GaTTFYn;u)<TKt9><!OwD1^^v
zg5B~7-4fB533i4FXI>+Cu;fyndD+Wj?;@^VbxPRN_6l8b;Hi6|hi8KRCBva3zT6t>
z_k#pT#ndZR{MaSB!O36FP5jJ-KkKzJe(mwyVqrlq-lVtat`Ao()K(h7{zcdIk#Atc
zUY_3)?D23^1vc3gZes~rY2e9ToGxiqaga!*f~p>xd|W&+$_76vPzGIr6XyXkdJHR+
zkzmIUc4H5jTl2*^dyVt=2RTzOM?d?52XR2VUjR0K-IIm-g1(ZmP+vlOdzZyU@hE}Q
z;4662Pv>14gjC~=V6Wv=>wZCA8r%r_>;B^CbEBTM)CitPzAWJ2Ot)4L(aIX=OrRG1
zMzBvTwqvdIaVw4BQ0h&p3HxyFzWai`qFn`pto=mtMXGY}0O8<)P$o!J22K#}GEPXU
z>q`bGUc&GD4W|*jht5N)l?o-J3i&`c787<ml5`h=CMaT+uw72>gWRjvacYx#6x<I%
z#;~bZs)b1KKv;gj*Zn%Uei_Z|<0rJ!!6WvoM^(?Lm)yeb3W?MM7%MK0B#qZ(DJlAe
zTNXw%i|9VuhD!-#bOw!pa)%rc=HXyBkU=i7!}}=E=$^1xVG#$Sc#Rv4-~fF?Cvbf5
z#kht;t(Cy?T{V3ftP(#Vq7Txjg5)?$5X7=o!I2X$-}j9_>kIZ)jj9^>gwAeyLOVSQ
zG&};$^!=(gF*dfmyqvGD;N(;%@79*aO2(}*l=Q|L!NXL8K|zgzZ&bi2AB@?F=c7-K
zp8#d|))tGYZs>{X<_X!2@46W1mf<gQH>O`Hql<pr%ZyP}^3BHioxvf<WTg-d&*+wT
z+zd<-@@DXWw}Kl9Zx>8lJ6NWx2OGh*vI|WZ?DlY;fM59OI>xmJLcNE7i=TzEi#Wa@
z?V<GHmzKjMMD3gPD!SMUr6ew?7kc1LNRL~zoJGihR1Et`RX{N&%ROLJ7I12q=dYkI
z(=dFr_HYp?NjD1yj=3opaA6^?2PVz%MzGazZZ&YiT(DE92)MW)UbwFicRWLwe7&}0
zK;=Lf9z;hF7ay7ucO>JeLJyib*q?YxR}=DMw6+-i*iOTuM9<AbHyY+{-3xZmOYv+-
z%m9b%A7CP||BOC<h_mnQAJE6*R(urc<1PC5oAmLA^zjw?_^&u1*8T>4{0V*h2m08C
zv`u>peS8eQWP6!DzE6#Q7a#SYpE{=f%LI<-`VH=RhI^gi9%s0>8SZI@dzs-LX1Mhk
zZh3}VovEAq$w_<2e2PKGABOw433!J4NA!*1wj#K{NZ%N4y0c!uP4{{Txaq7_0XL=6
zFx(vYtOtAIBFS{#Q?#J8i6Nk|ctV;-mJ^JNKN01?PKa=2!7WEp&P5+eJ&a2CCtB>6
zy>g}fiS{vx)O?z?9!|FvzPT^RK`$2FI$d(!2zKF$@G?XVIACtvaVC8JS+M7mjmsF>
zNCv0Fmm#oF$<(3Qj~Q_V_l#HMQ#DJIvz+&yDHrX9Nt$u6gF+i1eLlK?QFwCzJ1I!O
zVfjqp?5EqfvZ$gR)gbLS#nbUA84!nVy30msL_7K{jtQyaPH;orQ*tS4^qa5!E!FHd
zUwf<Dh9k?G-Ti+Vb6VWC&0HiPMy}aEhZ^;T<Q)>vK$7x#7>N??32X>s70XvZ@Nvpy
z$-(PQ>b0g$d}YO{j6CEXhnGjlY>V)&gb__#{~&K<>g4a7ypixMKnUAg3$C=*Y`Way
zj672~d94M(m4Pl}s<NXbvN7CdJH6k6dc?J}NCee%WR*H}uzPq*EA=K1k7tC%X(ris
zVNiSV+_~f(7qK$}#1$7@Jf0koEFXUp-ibjq5*$CJrI?-PvonOPDNlv>h8P3xE(XM@
zIH=(bL#G(ckz}UZsl<{8_YF`>xQ>=Cr{EY2B(b~8E~ue6K1~;1<YZ^eqzv}NTLBqc
z$?dz1G-0aA)lCf|FUBEp+SDLQ3vOzVA!w^mU2STR^ld`9R5IG<*gRR?jIqB*cJlY}
zL8;_l$KTMVAx~MR>!+_w7g#mUZw<DIbBX#UFJHb0%W)ems2b<LpL7n{pCHpJeUILB
zKRjf5uphI4Sa?g*k_=A!XHg}2xPfw13xgB8nU9~ts-i|d9&GBRRg*SA6Nk9n1zxfN
zxxFM>PQsi_T7AE<29ZQQB=#?_Q7(`)*&=DOZEEJli{x#QZZb)oEktf238B9$LZ6p`
eyKwP)xn9D$-d&;<V6H?ykkDN~)@gkq|NjA}4j@nf

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/data_reader.doctree b/docs/0.10.5/doctrees/data_reader.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..251ed9a49f9b4cbb07fc67c7c55e3fc6c2d76b99
GIT binary patch
literal 65267
zcmeHw4Uinibsj<D?-swLNJylP<oGD*4&d${4u=D9kRS;pLGbU66iJbgDAeBE?(FR>
zc6XLDvp5`8h{e#N2x+9y)W%gwl*ndDR_G|PQ*m5TIg(||s@REQMX_YN602NxNo7U0
z<BDRH6Dd*hz1Pz{({r=GcSiye^n=@-?dg8~`n}h$-(P=V%isUbkFMeW1be(@#co{4
zo2632DOp}S*j{pqt-96l+aGW5f3|(GJrRt!=CbFs+@jSEu0e}p#jcfHtI<A-A9quG
z->!N2u!E7N>6%Nf*{rA@DqDia!V|W&Z1@%1Ga8O>EjrFQ!)X|&ZU4U3qVcwh?>D{U
zlaoufUuiAoi%xyAXf|!%tT_#9(rqo;MW-?8yOuRsH|@rx?8BQZnZ8+YEwf~~`Nm?+
zZk&7jLZMyR2H+|qfZZxvfEBRI`Bb)4cGJ)Jb@Sua1)69u+6}t)2iuGYOrv|dU@PWM
zsH@x%j1&|iE7t{EL;TGLn*pKKo^LIhLB{lb*IsP-z&qjjI=kcnr@^*j&GbAx#OEyy
zvo1buFSVM{mqoL94pZYco9S_{IRsnLyye>M;Gy-zb-NX8^UWoOpt83zTG`oJ1Y)=P
zrn_WCGz8Q=yv~cvOI$I4xXKt1HF_TOl_UDfN!rLcjhvvTwpn=-7W^%;-D)~i?IzIf
z0NP1(RVG`NgO#ZuqX?<gesGhRsHKLN-B-fb>77jFw%{F;@AfR$o1A;{y@zI}C!4NQ
z6%>n4WxHm%lb{lBQcy<<DYq-PKX@$$yRLF;<vL*YnqXJOUaHjaf4^onmf}Rcm5Ev+
zBnc4+kJ<;D8(=8VRoNkaz7*^sdIZKQuH{vnTB-fv?f*~w=cj2B_sPL4w^dF9m`%LA
z+rXcii~vvd7=GkJy>{Gdnj}QFH!+yyp10aG#FL33wu&J<tLWQKW7Q0atGD>JUyE~e
zaMS$_-*pV%G46ppFdk)j;0YSp*XdWq*OfY8I7c|H+%{jiow&2>(%NWV7R?zeBLI1a
zkd~nI<4;0}*$ohxC7^jET<k18axDWw!k95ga2Y~y86n3XmjJJ&i)dEw2be4U&k6*~
zv)LhM#|yDzu~n;CexYW2aefx-%_5e5DcHVMkF8ZOara|S@KQ{ateRcN&n2GmaRWbO
zjmPO9%P;2lizzGYRbFH=-Zwx8(S%<F<Sz|A;azy`W4+cqK%-01nuA6vA5}}f{ej0G
zo~P+1XY-kGHc^8J+RvcJR|bc6H(vYnnxNhBi0MAvvivlFzYqefwTWQ<0tWx$;4tsO
zYyWmlFmFHk#G?<V0sIY#Vbvgl_8S=X4+n>q_Oahz6SO0zNdZa&_b)?mV=W?h{}KcL
z_rc-49<P0OZSayJMBru;1RQLazev#(Jy390w{5!Sn#yQ(3;pR^h)QvD1K!+(HwT|U
z=lwU>Dx_9B*p%Z<=0l-uBUWe0tx4>!pE8RT!zq(|_ADuljiT8w7A>RYL3UwhAz3Y?
zw%sV%=j~F<tkqVsM#WjS&Rgzkd2e8sM>EUgpIQwYOovXJ=AvD*{S_L}Y@y?l<<n-@
zSTdF?rZ0wAaau;jJde$yQR0#5XWQo&>ZWfOX>4P01<=tiwAU;w&<ZXr2>A27U=x*n
z!Iyt5W*5`Ke@rF>y8o#J$3VB)2GX!xvlib>x67rKOt_gvi()`*#-r72qOYzhO!WY@
z765=1_66G{)u>LRM=5}IX1!4LWliG77`KfCyTX|j7HdxNTzq~-yWVtMLHSZMHcZbb
zH8UmBl1|`Lo~Ar8KG`(=%B1g1)>r7Kyt!B$-)|Uq#5u`ROye2gBbPZ!qV820OCgb0
z=5!C~R#~hRBaM7JDe5hA35xR8=89i|4jk-OT7LltD>^O$&DB%1hC*lC7sK=!sh0H6
z$!S=rfXB7j+d&YP-p53xDjx(BCn2*U5kyjvBoN7|NRZLmNR0RYf<jxhBFM8$fBN20
zpq5vQ>J6sAH*0eKrMs+}vuwZyVFK2=)9`#3vJ`d*h+?v0*w3U3QwU}oI|NDVXy#(J
zLb&@YO^Z5Va>dyS11#C+t%gCTycjtqC3qyI5A+XPOcW0C7O>+h?1*Dd^-ercE8CZt
zxtQppFEK;ovX}`srwzoXqM=~p$4bFye}Zv5MybHd5FDE%^c=c@xeHb@ANDcJjfq!z
zRJ$hF>@;dCtA4588z+LzPZ?*`IaGX6C}nB(3a_QU?2uHhQ*Zh(w7|$Btsp^6lnJ{-
zC~}148m;~!(Gmn$H`OoLY+Y!&FkDppdX2^2r|7NG>Mt-H!S=?YFk-fYop-~Ac@hF?
z9)EjG^F!g5<9M0ylegk!GQPWVJY(QL_?D-wCT}-js_-WcW{vTDetbXw*m=9ME)=b%
zZ`{xO*(uj`T+v;}H>8lfY~axs`*+e7J7YJREgw6PWp-Zh?Y7vwrrU`{|8hTzF6pWI
z&(Ip?Qy=DCw|$9ry)V)Ga`|<3n+Ucw78y9~oiGNQFj-h}ilp~HDc;vN3OdfO0~elX
zEmnUX{Y#M=vR?JmtDX(WbpHz-B)O#et9aOn;i{j*j|t3wpC0wcZq?tU0fDWM*}g|#
z7puRGKl<FXd7Sy<&DUIW2OXHiMo78=9gM=W6R(W;Wf>+iqhy!aIPZ&HlJ-!K6~00l
zmPovK!Whfv*(@rx!bup*ePKc!%M`uy1=?RdG<=E~a}19r;jJh@YqD0Fj$f#o?uEjV
z<>c|pST@$ER?A`c$9C`KymNLlS7BIl*y1aWD_TRV#9IuUXE4Nc%n~goajYx4c2j5%
z!q``~UC%ejpc;(>lc(!hIsPdJ9VtgdnJYTAR=tt4ATn3N-&|)o?_co8vawO4LFp$0
zXLPIKL0!q5%~U<7k(@j|n}lh$S+gz_8bFj)%F{DBZ~k3j#%`cD-==e9p>BIMbJ40<
zCGJyApWYCQqoz;4X^>!oWK2o|6F#17u!5B@*+m}$m77X<5>1*l>|Bty43^V~0k#UR
z@XcPJnde<62^T$^1ckb!s!iqTtAt1Ysn8V?fmb?rpo1hFjJEh{u|F&c3DK(ffj}wX
zYXQarEJ=AqEr6syK?&U25X57!GYFL6W1wW$pq9y!?G;-dkqg{orIPIn^1>Uyta^b)
z6+CpOL13#dA&S*^ny2~_pU<5}1VN?=j`AnQsYlv9$BjFUas2myF>{PQvU*H>j*T>I
zdSd**v4i_Fq%*Uw48ysCPwbttGjO>RZpu~1ZcH%NgrvywyJB<ZF`^Trd|Uh|1|56<
z@wXkBxoF_e)Xc@PJO+naKS52iET8h+Hvzg|0y_4-##m^q-gi~bU6pfk$4LmWt8%Uq
zN(pUGzAERgEIFs20<OO{Mf?1H=z^WJ&!D6BzZ+fk)IpW@{{xJXs{IRnG@<=hzlG-2
zZ{wd=Rp~Epl+yq9G_((@^uM(qgo`tFQt3a&<M&efgHPOHh~q8U&dRU@!1&d2YpYDR
zGVTQ7M0pW!L24LTETHrxLw@doO7w^flHiaZ+LBX_0h6Rgm24B%ypl(H6I2UonkR*R
zLhjg?IgmQLJ(;%d!?D}r{j9!Xw|Am-D!U0vxIEbH>DFQdNWvPO3$4+7(o)vw9MMB8
z253UJ<A(2~S+GrM$|5^?N!r*$n>*Q-yV%L^f2?U0q019jgrJb2nNN%!*@~r8hX<}X
z!i>JK(8MXx^w`~TuZzg8g$1?|ktfgS)n&{w+`BD|D3^#lV)peR?7=T3y3h@SN#jfC
zcA{~Cy?wzhZSpbj6F>BX^~R2f!zg=`IE@Bkljf&~pF>27$%rc=8S+RxuR3Rs#4_fs
zqFv7H!e;gOD&H+mK%T=61mRtf4r3TnJj;)0$Te*CS(C-ZHI~hWkM@p1v_u|ZTX??2
z+0kQaw2N>iKi#rji{iJuyzy{Ik97XB$O}%qBEym>P$_&5F7Pm<i6YjH8&a4@QJSGl
z&)d%AJ?KLTZ;o&~m_M99JV_>8&7337S;9=@<=MhZ@exGpn+Yw^I)&eX&(A4*4(-GE
ztwa}n(JYP2H2aEhm0kgh6hq$?1a!(8SFV><$KcF{QXU9z;|9=o`ET@1gen-d`iDe=
zkSmB#Vm^p(g=z9f#@MXH<Pfw~&EX?G55)LVzY3l28M#}XFy5cf=P$CKy#^O5q=EcN
zml0`VB%jm-X{4;|;6&Jw($p>+c=YA^F0+4UNkO*u>boJ%FIAtwzsh%CJ%ewn{PhUU
zR2xHlLkJ#v$VB*ukhSnr`|vosu+ehps6?4TSSC}njIreKQHc3kjpCI;!yk;l(z&$0
zohrOk{|}MyX!QquQ!>%6q{+YA2?b|QlC=_cOR@lG=`caN8wF#Pux}N8#69s2XF`KY
zZtRGDLfnYiSkd+|;A+JvRvgE(B8U6_zK4m4(E(n<^tNBuO}$!^%5r_8>&}D;oXcn*
zf`_*-qbHWsA_u+Orp&avS|mx}XLJ%6#sQbmu0Fg`XYpA^osQ*!9dJiz(S~!tP4oD@
z&f;h8hp-8K&4M*(p_`=)AIswsUe~<H3qZey2YD%2GMP-N46}Q)6dgw<o*J*OjKdr5
z;+*2t=@Y#<es+H*b4RExt{CTSQ^X|RgWtkHjI?dwM5!z+?gcWopBNYC_s}&!?;4Ne
z`Edio&?o|Gw#!GOg|U#3603!x95a-Z>@&ca(x^Y)b%;=WUPWqRr&$|Pm1N<g*Q05C
zHJq*E;eNPF**e~e)~U7*!D+exo9Jy?)CJM7@dSD=4}LPP-~}h6<9|+B6mp^dlyk~C
zqGsV_7S@DZa(j#!K~9Q;U1#$I@tbx!4?CmhWim{lvsk)Q(mF!t+%DFUTTd2?7QB;W
z9FYUX^5McL`5vtlDOI1RwI8ki4E>4OGjw^KFh=m{{8{w|pU#n35uMJ1PdtpoK~^@b
zlF+~y)-W#I<QYH}R>E$9eufGHHM)tQA&&4SJ<VCHLT||%k;VZ9PdFVZ_|RN*T0YAz
z?w*tz^jbHe#BhWJlsbReLNFo!EKkeIDwH1#%9u7Y=$pXsOA22dPTv9rQuEwQU!xJ3
z<^NHli>`|#RTmnURhROsgk42j!K*c53U+lVl%!v&Mj?@?D(P6G-~7FNP{29Dx?oaR
zh_Q_S(J`TntX&u(8&ILct#M%?QjN!YzZb1(&`)bX_^XL!*KLhEVt`2E*%pEpjm7ly
z`9w#3(GQKz^s^}+br;}E3S|9Z{S_VS!zizE(L#grFK?9c`fZ-Pj;Dc@*FPh)52w8T
z36I}Xd3^_zR~fF+J@$*8KAq#dq=F)|24tuGseLjs<sRCX?hPYZA{A5wKT?+k3UN_=
zQcL4hqv%jLeAJv9A_1KrtH#{-Lsnx6VQ>@vGBQ`KVucfgy#4%c%@P4F`$NSS-_cgS
zKgREiE%f+U=<s4uD>lwES5b+Wv^Anq?Eoxwew4;T!zrpi?1z(-qWb4(ovNq`uF{27
zABw6jbcR(_^<EzQ4NXyv)HZg#u}T_K?xJk`TZInQNek?%V3MlVMZr99cf~56Q#}(K
z8gy_BBRLlqY!AVqez6ksuie)Do!G|Ft0ne^gNTKV>!SL8w{sN$Fg<UVFhwIV?ad~-
z(j|F9Esz=$jUQi?H2X05r*f)u)_}jPX%HUg4w7V%KA{TP*Fq0S-9oTz2|9#?8@jK^
zl%eB^TSp`;&|N_*81SHqpw0l^rQXPm1+|1SAj3o%9)lJrQbXR<&)^ZNg8tfL%5!SU
zX-e!sOY=mctG<?o#%E>Z?)5;Il2gIDbeDo3UB)EnO&N6mU5uELPKHLP%H<`cWMsyC
z^yHB!D?NHBv$~@vr)6q&^ho9?t0z)}e6@#FOTldG@G^I%h{0S2zpJ5lsBDD<tN+19
z>6;%*nfSo^=0}LLhSN7+;PHFuo5A0}UfF8mSVX>X6NjQ!gKLgtN*3f&sZ{XYmQ^Uj
z8E+L3bnUnk=gnHn+AqSA$HvC)b{a_hhSU9VG$haa5(*UIJdae!d+9Ba`M{oYHfiEi
zPqET@yvi8@@ZNKeqC-kMaxK5*HjJ_NU6@*YYW7gwFvbu!jYNeB$vFG*UHp8oE_%`4
znVzb5e?_v!Pv+!x2K`JLoerndeX1X7RXW{^Xq~Fl3Ch*wZ67+F&e+51bb2ojeruz|
z!`IW$K4@Iy*ZM(tdR*i0@%X*O!<k#5cn|G2L764a=pel_%1;`n6pKmQMU|?SU(Oxl
z^qg^#mLz`bH$6wbB*V{95y@=WMNY9v{uZX-^p{^FU#1ii99k{P8i_yiAS<b!TKu_6
zobfoHMmFciUc+oQS0F#@RP_m^G*a_wwA3TKe>M}I!pH6xAyBNpo8*{!2hO`HcLbRw
z$?OsGWii%=${vwo7WRjv%EI{};>b^;TELLHO~_7gcppCw*A;;i&p#PIK`Ai=xR&>#
z(aaS9eYlleWt6Loau3dQO8dUbC<*x#ol*H*@K<U3-*9Tjcl+4|mD=$KXq~Edh#m2=
zP&?+fp~heYN$?hFlM$vQ5~Vq|<K!qMH77-F%(MBHVpq#g?2Rt&OEQCWu`bO#ib^6P
zVw(*YW|^Y4%o_eBlamaN<E+_*1(zGg3{7_q@Onf%!9cI!xOn@PZYHQq0x%e$Q1z0g
z6%EPsI+5t6^NBVVYeZwm7qXN2X;gJi=BK$`RAExZM+eV5t|}&ymAnYUk;mb0QQ0d2
zvO2tFjYU+mB+HVpM1|qbk$aVhhYn_3U2BofYn15gLOY=vg+<2|F=na;#%l?JI<8dT
zPG}mfzD;3ESgyJ*g|y7f?LooPszh|sG*g|*8^Cfzvs9vzEOiPMoW8);yi(>+O5@OB
z9koYITe1;WP{_z4Gaqv05xEz|BfgqLDiks)KfqMk8Eaa_1Q;Jck+0K{7bDKf{UYyQ
zI#-cE?<|Wrfdvi)Kpg{0EQVDSAJ~9O!hs?JSZDw<0!Jk_8N{FCa|163%tjW`TRM*z
z@odno6$s%>f`)X%^qvIh(q6EGKn^Dqjm1bc6CHL&Z%jTA6l?>1$6Ar2RybI5S1H(u
zwxTo%7P{c)_9cj97;ms-P~i=p8-*m?m|`NAQkY<1^W5{a=);-kp5yU*p1(&2a|g$B
z0LKuxNIr|SG611&hOp`-8zIKbipS&i2*RV8Xh+>})ZtUdXDGx`JPkdrf<Y(3-TuV;
zITAADk#V?jv6DD%$>V5A{#fuh48toRJO~wa8x~qkT~y~;$?zRv(x8#Yud8@kWe?Et
zqyz*@tC!QLe>m;?ll}03(!M`})~VXJ;0ImM^kMYV<;Ac@KfRZ^gSz%T^(gN_*tSAX
zF6p^BspqQLLsrEF^~MzODe*-4V7n>F>gCQlxzG)}DCM`Egr;GEwGcOl%BfK6oOpZ_
z^9!Yxy)LC)w56s0jGf`@wA!)YLVe#HAb{zciH`c(FKP6C^y#mu&RKgoqUqCTNLD<~
zmoUH&fn-AVcO*i>P|ue1V;N7)f>Z<@3b*g^I8uc=7z^GCUBl3A&_PMt+x1G|dE*|f
zGB}q-r@`PGCa*CSTx1;`x)3rMMb#TGmXC<yx2F7BBu&aSi=fUdn%0pGjx-U{s1_Eo
z2yHV?<(KjzIbA%A?-tO{!f}PtPc(AZ+OZTPsrBd$6!<^X+NSxf2cW<oBs%Jg0%>&C
z*tUvAkIhd$Sx*>uZPnRrFc@FF+~_cdt;-L#p6j-S*+`xRHf5vP@SbX{X|47q*)!@r
zSp8d1Soh)t6RQUinq9!tJL8X|F?a^kYns7GBtVq15yT#*z^rfg9bzixj?uY7iuA<E
z{mf1X^CG04pT!kCS@uw8kqYRdws^LLGL)69Z!V&w6?E33mA#N%$v%@gm_Ia~y}x83
zrSMetvHK5Yk4)ufvNJQ;=|e}d)A?C^$j=_j9?Bn{rnXbrN02IRx9Z$_DmycqKZaMr
z*2iYi`q*K#o}LmtpLU!Qnm+LunjXo|W{*(EN3)0X2WRM?qpInw>iB-N1{fGIJ98{M
zJ$)Dr57Gap(f9~KF+G*#ejgA3Pv@saOX`xFPtTy~(HW@_U&TuTFN!9a)E@$=Cu>Q@
z=`Y0w@;03eV>Xa)+$XBvhv^aFjxN$Qk&8;1m}+N^CqRhI&V_}iTeuC1T0p==8~4J(
z7=IT9_@fd8VHsvhK^8Tf#nmEQViKdt>bE5>c|euqLbXAJStP~G!U8IhFEt%hl%&Ej
zX==cUHBB#)F~J%;f)sdfLPF{4=PnJEQc#a5^hTgC4HOfd^|iSY1grq;h%HsraiBf!
z2{E=5EV6`j(^%9ILwJ5o5F)=k%+lE?;)%cwUWLJWV)Ob{#4ItpOC$0KY{v4XHDNin
z!zmGy*!GfC+uyc#w=Qq=f(1W&7r54V1Z<nV2g&l;$FMKrAd|h<wrZu!*c=K<tr+(q
zc|2>>EyS6gMy?uJxE*(8EPHrzYI^d}!KuU9$9z;K^>CAhmz_f#zXd}rK4(swR5TNU
z=UpwcguS)pTCtZ-)|Oy6@+)=iC5h_G5HhtcyxcD{2X|)n6w!ZLUy7LMe`ekR#w@!3
z1gEU-c!z8yYj;?kyhIn5&^b(rC#1L)fp{F+$?w25%thRXJTtmNgonpDMmQbQcEn(a
zNLzml-uaaTnd`C>VyGANa)oc}-Y^1z(fzr^u$>VfGmI0gEM-rx6Uri>f_3Y%Cr*1D
z7{0P5%*1oJs$WHzRth-%2^zY}FQ#9|sQb4dF+h(I{e>n10})pcC@?g5#so!r)*aW{
zFLxWgvY3j3R|Fq7lu(E46e61im`GkC1dR#ehf6>~r=duBnP4j2%5*h~y1oKNmRf4f
zkjQQH?hTnsjIK6l0Ibco5`?02?f@o_ze;q}7cbK2%!`YBz}wi>QldI|HAYLpZGS8?
zmtdJ;TwU@+8@jq4(~ZuzoJ4v%*>Q7Z$IX!)Hz!j;quile=nj{JwHI1EaaGsM^f@+(
zb}=Kr>3(^aByCY0I9BaIyR_CZo=E%veBZK7w`dJb%XcI?>Wh|Xbf)E<aaxW6tUphI
zw>y1MF45~1U~GJTk7j%hJ^)+7dE04uboj$YzYIBsOGlT<i;jEG;+Ur7cU_iJVI#gL
z4f0L|f2jJ2@U4f+e%);FrEJnHjJBbs0o}rlth={$ha`rSUM(@{x2Z|5(JFf?(NSN^
zN~80#zL_fq^g>!}YJI-YbB29g8+2w(b2~uUV|}i1Bt{2$D`l45$z6K>pCWN6={{kh
z3!dwE@5|5?d01;m^J|Acgn}}P!IY}&WdVy?9M+GYX4>sc<^v^2&7IX(VyFx$xsc(;
zWJ7>$Obo`0DN`Rf2IHf|RKvw!e3-}Y8H4c!n3y|X=pvP4aV;i?T&(Ttmbigl-pYYJ
zeG-THEBdw;EzCcWppf9(9#>q%(+KEIj!g+`UB`b@DFz|?pSik{>vHeTYq^rT@O&jr
zf(#eO@{9e*5f#Vs5?ZImu?U%>Z<~F@vFI{)*f<uwm${4jk-}gtJ%@t?bb5K15Fsrh
zv>_I@LV+XVE_u@b!y|>JGk2>?Fvm)7m*d5raEF$qm*xJv>bY9(>Njb9Myvmo{=@=M
zI&YjXCvkPFKT>b7KK`7pkN@^b4;E5fIE2fxO2}uj?DL^=9#_RF;a?gaSWlORbr>cP
zCQ?Qeo8M}X<&LZpe3LQNIcJ{?uB(FmREv0Bv?v~kkPbY@12~|&<K99&yqLmf<FHV%
zS&U&K2>_Zsh1*6t{mmU`6VrLSGy;PEn?lzbHTmx)I_kPovS0&^&YJwQh<kZ$aUR3i
zWdO{2uFRJ01MtwQmAO#_DJ3XSF=~+hdkXxzkc@j@iFM`K;)A5oN*)GjydbM!Lwn{j
z=^vF3f?27Hxke5wBK@Kqg9R=v;VObARpAIl8h8&^IC5g5kUuKrqIw5m2))C)zJ^W}
zPDFpB)i)1<c!hxv5e9w=uXb}-6UqX#yG;#2(vCKg2tP+6S3^#?9U{N9h*X0#BIHQi
zA#@E=CW)Nm5pss@F~SUY2K#{mdyt%t7YH-Q)&VnFaq}U_2G??{+mHzr;SV8V2pz(t
z99hY$?~3p-SU(XKxQo&1V?$x#5@F%tb-==VNSO{pw}A>W7s2#igI^IljY#95{YnHN
zfT6;o3#`1;hRE@Tuu&oJDDpUSo?4QGDiO*yaL@?9Jl<%vIuw3CO!zIY1Agz7$fQad
zxckxrlI16%637NolqRVrwBciA-~~Z3;!Gxi%;2PaYv^u8kNei6rwHfI5wcN~aVVUB
zgm8XwSe$p>S*o|=FkdzB4++c<g(eP`u(3U67<0aSJ?!#lH_U4CODR|x*lO|_T9x6f
zCZFQ*ds<CSu+>B=&3r>b=*5H20vDlDZF?8hVL5IgCRQMGW8OvWW`#V8YeOc(BT0|N
zMpZUjH8=;UCXGmn<O^KHu<@%K#BH>4V{^xj8)I2%T~XU2o{o=&l^e!{<flhuPnJ((
zB9i)`uUrTich=$}R1$W_sZ<R@Zz>J~18_@>)@CeBhY?k4#*&<iE^CO#nAo4qTnw4=
z%vD6L6_H9NvBC9AY5X&s&ESjuaFMbZd={-!Z3cp)bfMLU%|Mqp!`ck=UglobZ3gl{
zo_ko_krXo#?2%T1kjJ|_9QoMY#Udar0mqf{iBxh#7AW47dsOd+YPqX_OY1XQ{XYE}
z$Y$_8^#<Dv{;6&=sNN-#Tsg^_#1IJxz%9@H1UJR;Ko64gPu@#{y2CAq2gE9fv=D@8
z%X13CgXl#qhA|3Xcwqg;j2&#(vsWPcx)B}Gx^oxdnX$>r^&C;pBDk1OcP2XP%YHx*
zu>D{QBQxqU2p{wVrJ}hgG_zw6>FsNRGA)QFi9}s4bUG&g5-CiQY=MDcR2cbssKWfp
zhN&?3@+#>II<N|JH(`D_73Q5helHa!_>Xr$Q}IwTN(AchIS0kVN%<h#9c*|RIuKGh
zq&`YDmte75$ss+<K9A&toL50yX6~IiD*s=@b#w>;=Nr#6jaHr0VyR-*)WHmw&p;{t
zM&!+;`%KDBQ5-4E<Q>oRb>QV@o*<*FT5n?iQ^!?bXZNeSrGCt2rKCLzjY1k_4Y#?!
zuOIqSoBMreow~UTTGN@hkIh}@#bGyhy_dPqZx}}hX?P#BoZY2<FrHq{?s*=+Cr5vl
zc{n9<fRuOG*=g4fT@x~&`ed}XTcwUE^5be3<I3eUOkO=wx$SCWi5jU#u>$6aYkRLO
zpml!ybQ)a@$B!@fLmi4AKZe$+{3s~p^5Dn+uwnf8pVRO@C_jF+AB?B-<5zh6p8WV1
zQa{G!iV+J@*@$;i!3f11crrFVcCk}Ii`5q?cIM|OJkIi86L$WInzJqq{vwSkhm!{1
z>4!FzH26ANr%D4sr<aE`_%9nK4c?Gh?K~P--@XZ*45@G5z~lFl250^lcWB-LQy^-q
zimNY;GIVBgp0g5c;{p*bOeRm&ar>SwJ+evZ0khskx-Czg!>QaE(t~jfhcYc|r>hJc
zVOxX)(YL9jUEB_V>w^H0f~9|vBozvMel?rs2h)CvEb`qIP03dZMWjBcNBj9+THkkV
z6dtn-%XOj7xTa0@C#ZZJO2QS@JhNQeOe#82A=gOYMk6R0jKV+E67|9>PODbpE^ydD
zg$kdFX<#_dq00~`v|$-5Xe_%9PDu0)!(p7dPz1(d_njDjOmxAeEohAaq)dL|&d{F<
zbdIf09!Rpd7vrRy>M5G3hNdT}ZWw7`e4ipE5K$#J${_)aw6ZezB>F{!V)La?fW~l8
z(VXHs(D;3gah?KA!!X7hR5E1I^87FjB9EXNF@Gw{M*-dFbWGCI7~YQQb<(1HmCnHf
z6Dm3{bCu2$a_CB@bA8vJO51&g+x7GP>_KYRzXh#RcYU!RT^_ss|HQ5zK@uqQHqw8>
z02aPFNQvQ?1zzrhoo(h_gY?*{-NhuoC$#w=4}&12#dg(mwcJ&U)@QU@q(1{0+!xdv
zY;gbIKuQ#05xjf-jNc0j!mk&<>Tf-*;0hPPdiDyOKCLj67MF)QwsKx_nYM}tkqMj)
zWX~kJ(T%VP>#~gfqOsYko@TF30u~W-w_=e$Bzv`7b#1X%V(H9b*iHP*hG<PH7;1a<
zEZyWt#@Lufg@RYu=zY>bXr~t_h_p4ThvgWN69%y?NV=+^IzOT`!@!<>!D|SCBA;rT
z77BNb4zgY<WbFSYuse)5KrT+`4Y=;wjY<RgWu`8j5C=Y;e3tMuoHyVV9>3S=B>48a
zdILNJIe1pCY`X}_#{nZ(Go#piLALxDuEmOjBv8vMx;AUibm_#{hI<KqLT0P@jfLay
zq*3B<n#z~^p+}{u{7bY>)l>v+>LRrd?}5&{!+H<&Ugq|0m<0HK8r}!BR(`J^jHg>G
z|C-0|DFHqow^j-sB~vAb2VLazcidNCOyCNwC^|`;15>K;4r08#2d7%&K6v<$$O{t(
zyBP!^%EzFtRS`Z2azs#z3FZI0!e^m#?Cu>YmaXA9b_crZxq~Q<{o76)D`@HR;MiL?
zjAP%LhW9}^_E<j{Pv_Vf9=|8Yekqk>4>7Z@(i$~25o#d^6&i>7xA1j#I;;oZ{#eXK
z=ibNDsAxFueOEuUq`3D4TBq)}g03zP?mYnRjUWlsu{$Rue#{WCCnR%qQtx{1=ficE
zbN`L%+)rDGyzU@Ohe`iYEo=1!T8Gi<^YmvR3&3;g4YmLr#N=ZZfP3$S?KZUArr$0h
zP{0KeWW{9UEKrq1It+>c;V4n=`c?f!=j0&eM@*@$08Bf84{>G0KTdS0pMW|X#R&>N
zioYea{`8u$TAHBWH&W&rkzuzp{h@2|s$53^*(Fu$1d$d8P9q0GDoXp2ePfownrHZ(
zO!lz;n+OPRluR#AQuJObJS9vVQM%Tz6DCEv)*3rj*s5}$qt(w3vPkOueV8!uIbN!+
ztI8=`zov#*owD`!!gz7cOp4=%5aUt>Pz0IMeX1da3*NwYm#`KV=|W7Y=w{W`3y3+T
z%5|`>tcc#ooPyHfiwGd2+*BA#P+puP)DW27uvX=seC+aqj|qcn;+<L-xMDJ4ojL?r
zd|fSfnjCp!m$j0Xz1MeG%?MmR&3-d6P*+Nnrapp><x74r%814e27NOHC;iEr8RD}4
z!~l1lTRN9@9wR+Th<Q3D-IVwVo<(4@6lbEyBd45F;x_6ymRbn;#1?em00O`98U9{M
zG<Og>ipK{~pa&cbTP1Zt5)bKhH7dCkQn2Wd`Z{o+)kyCm3=>}+ZXH1-X=g-18m$;p
z%hsI(?AVf8uEk4CEpH&dXWFczQG(8Gu#D7GTw$n;kbXuU<o3tgD#P~;oscM}cVilY
zA{cn4Z%ho;m3FE(Q)>Yq&vak<dPQRdom!;KQeQDt@>7d0C$uem67|n>$PYA!1IWdS
z&tW^Q7LiocYY;t4gYy=Qr&i&X&Xg#@-j`0Q(Re(IlLO5nxe{s4h$I<xX7YHB`O$>p
z60!Ds*VFSvtQV@&SDgFlJ&C2#DR&6%cQMgncP<Pmn4n-TOk4XTi2beoY+~()ah1qj
zA#|0zW5diYmw5g<ss?tIJWrS(&Q<apkKfbm@~_s_RiYKd+Hl9m6$!gKwy;=zIgLt&
zGpl^EA6ijnm5-oxs#!(Qjn0sLxG{9T8rF@W_cHg;hH>Xt)9^m1QS>YQU_9L@`nx=S
zPwsqw+$b8`lgO8$w8L?>k%k_OHJL!EOLcpo)DK=$7<6v=PTHys$1UIPXYCZXd=0Hr
zxkaqw<-sjaZWy=Rw2SugHST3Mppzl@vOPS0Pi}dp3%7*2d9S-I`)40+xr$j{OAvHk
z$)~N^aJ+J7KP#tr<@IQt$}3_OFArW>1g}Jp1j<y-HTI+(Ju2RPV@O#D--`|g-LvS~
zD&EC(fAhm4O&>KVWZj;yz>E~UU0SH6t}fErAUuoy3}nPVtKMKEegz1L8S!7aYXxE5
z>=VzTwtr0(zkvk=ML~cBwtr9<HmV45c{~ce53kl{Yos)k@UK)U?>>3;(!zqAvMhrG
z%ZXm5kLwdrZ))JMlo6~iuwBsY)K8;~2yQ}RY>^%DeH#gKbQ<2^aj=#RwK8c|#~ahI
zCrM^+60s57tZptRy4FQ{2R{bE!za1f;TK5}Y_Nt-Qg9RTa5ry9l@5-Q;4zh94vzBm
z@Zi|ou+8?9jBb5p20l1`f);wXgX2Ho@q2EzUtHINqq*!ADyZwZ(scYn-E=P$mMrJh
zNwUB4C!&~(dHmm`(a&%j|G(~siqyvc3uv9X@e7L5S+$QNrOt7~9x3%+<}Pj+-+ns{
z?}HvG|EwR3rynW*gvam6w?7?Ml9Ss7&XrHm!P4^Wx<$Hj1=p6*U(YSlANWF0U+e4u
z*}ajPoQQ3E&Ee3w=0|C(Hyqdeu%9(lT=VB>oys+0JueTgc|li~m1dfg1eBAyYos&Z
ztaN7CNa}Lk6=&8&yC}|M_se?M3k#=Rvst+Z+9(uAQc6QzQ|W{ws%@kQ1+j-v3l8qq
zHD}#gjzUPWF{GL`qMk+Fvh1Brbf)j(9rP=Lfb}c=MjJ(+f&M%NW}Qe9!*FHooC1us
z{f}wd{+UTQo%jNAA5pQcZPtdkVqKwxt}lNaYPyEGF4tT0IU!7-5;rr5lA0z35ph*p
z8Qrk3FmL(Gj(hG5mYc^5YZB6caFgMGbW}km3M!mhWq8fF<TomXBfcV5)|;Y$`T9f?
zNhai53qgH^J-rt0b`8N5d8Lie1#B5hL~cxI(Xr$0YeQT_K*3sj0%1I=mO1U{Fd#8M
zmFTQ5VkQWfnB^Vo5gE%T>kVgPO>mxC7t)L^<2rTN6H7be>>wr6cF7?TKrEP^T@#Mx
z)|J~L(1LaDxF^nV?JUcUh|?wFc4^Ne5E*;zHDPb84`~u{Nk6Sq=GlD<kQLfrq=T^B
z3&5t4_x$HbWYbOx)F7zEHO^Tp6tRZ7h-K{C^*Sy|5aO?4)+t5?;WFn%@dpTAQHxyY
z05X#gA#Zep_36A2=OXY13MAEGb0>W=-b~VEIoxZ3cJBgRHDi~k*Yb+E;#%$G3mXkz
zwB*6YkA+qE=Lwq9^^PNJKo@LbhX|d6;X0Z>ll-qG!0Su+)12aV)owPKmvmCp?@a#n
zhEuXY3WXAGO-4-!@dbwvy2%^l(P-i3kHWHLFIDh6%D`K6&vDVL6+B#%-10J02ajbB
z9h=P_%^yB|_}IZCv)S3qv8n9Tv4h#^{E?Z1M-Cr4cr<%3b9m-h_SkfGCO<nnGkf&d
z(JadN&CFz{rjBF}=Z{QJ&&(b=h+byV@NjnO=uxyhdgSQT%*>%#G|C*tpF@Xc(Dvx;
z%*>Hv7;#!klq-4;N**yW{Ci&4&Log>5A)CI%Nvt4cZG&;*1Smh(-lS1)T|4ry+{eb
z_|>E9un|EUyH_PrzV;^jil{hP{TsOMj}m09bKQUn(w`<e>x>{oFv&PPf`ApIn>ism
zZK|<JbZOLcHUr!?`!{QvNm_(Y64CwbPyeJN)l8haVAh+6w!{^MHH)qRQg=US^b_R`
z+|v1t7=pXC0)}_)S;y1iO^MF>q8EaI>1EUL7})rd0$qPd{&^kAy5#-n&{sf4`#7x;
zoxND4BAp_WbgPQCqzR~8OVxNH_M?=gml;&Lbj<S#bzaQDu7!MAU!9?R6;i_seHH&=
z!)%^&DN`TVSMdO`#c;lg(>#7Jo9CI^VBaXaPMweLQY~WNeSut;xEnn$h>p~z6zbiG
zD<vZ;r-H;i6yY(&K@ppDzIid~dcVvyrit-{^Hyoe^5kPx*ePVRtC*VTi7B1=%V``i
zoZYzC4<9JI@xy4HYBv@<p>G9!cw2OtF|4;m?`7^cbi46wY>uUC4HX%8xYY1Agb;{J
z4VjpkFZmzAuiY)kWZjJBAKauyy$4*7dsJ|IEGP3OHCSv2Z}k}0i3kg_pguSfA0m0q
z!MZptw}|Ao)4`36MX!lUdlw2QL|AL#BvbUf_6ro#zA4yUY@tkI!!LyG=YyT{3FUCL
z=Y#EGjU2BXTwijEE#IzrdB`%VyjW@nTc6<TRHDQSdp;OhvT!q@2}>^Crz8>_wV^xV
z%MLLN)hs`UubJ>`%dO$tF5f8@7R};0`W3@%0bK4%JGi0jI6lhqS+O4<+!XBcaM=_U
zEx!N@YQ2poyOGdgHxbfNC-uxjmv0nL5Z}U23RD}iP(=9@&!V4qg)gWFJ7KAX;!vnr
z=dD`%!E1v|#jL5XTY~GY3pQ}YM?BeROR%M6Ew+}>-|l78ZNN5x79f*4o{S*5u4vJu
z+AjpV`4YK;h1!%<5WXFZwES}J7|Oci^Qit~fvYkWP`#)GYX$I3pceghu*YfnxQZ^;
z%NFjX9o(AuCDBFoH;G|)i+&>*<lCeA4~dt9y)*|8h^hcZHO#3U?5dfKrIxt_g2MT@
z9b9WQ+QI8YoLiw}p-d7iDMgzxy%neCGNuWP;7|>Nc-g+tu51l<lPR3e+2Nz$S{p>Q
ztJJDD3ySc7SbhL5vD}7Pqov!!Pk`NqN6Q~QYI;_y<P<K{iKO;g7n+WTgM92wrjnvx
zIB$ElAkjSql<qedYc!D%%59P%z(6}O84pK(*7woruCQ5w)JLy<wjJ!FPZ$JoK~%F6
zYeT)2u;e>jb6I@_iC#}!1<GkGfe^W7Tl;}){`C7>g56E430<I!@|z7@1%zRC(vwAm
zITeUK0;A&lP4D>R<nr=zzPW-*KaITOE=`uK^OI=lO}2xZ=nV!1ZxnnB2Nm#MJJ^or
zxi=p?49xC!%f-Yn^duT)R1V`i4jA3G{4x(y@#{4VG2)wx;G&XWX+O9<xD_;6N3dGR
zo(lW|Di(o4E(LqN6`YeU6e_Tj)W}xS4mQ^)Pb=8zA;`inaH%>-qu_P?U3@Lj#d;xX
zZ$$wwun-nr@EfqqD8$?6T1^bG8$!vqec)fnflHtsr)W3IpaCfuZXi+NwHEbud#(DS
zRRXWBU@W>}0lnQ+M9kN@f>lRp&w^PhxfY9x7lP}o#`!ijrC_@d5#ULXm)$7g#x)R=
zZ@NnsL=K4IdJF_|fhUVd0WoY|`yzyx_7o;etT7&=x3c=OmDr-h&$rP-@p+>1w#sbv
z9}@G5eS)?x+9z_M>e#M6hhn(FM9iy%%OmJV2pKL66<#-kZ}eWf`gg8F`;+3{y%lPt
z?xV?tKGU327GrR^DTKjME0J2w&p92tT|KZF9o=dcL9vwi8@*!6lB-_3dh-@EdP}il
z70;<QM5Q^t?k`6&IcIx0IK+yTcJ=qD^^}WSbHt!LQ?m>L$UziaE_ES+<X1)0cJ)SF
z2OHdCVlEIpsDfpmw{qZnCl}s5)UJMmT97Z##kI!bX5;WT0l2_tyZYC3`I5Y{NDkJn
zo~1G_x683Rm0YZT07<67ZrLoXzfgTIdD&klpYo)LI!zx)gzY1EgZxSQs+B{#`VuX@
z&_@VtrH^Ppw}KHO8F7Q+#WslM1*VyKCXRVt@_Ambd0votM)W*mZJseR&-0$=Y0mR3
z<{4_d1pwz6jQLh&j5?pKOjkGU#i^-Wy%v9}MVxP{*U_ivL5kJQ^yyg;S#=A2%7IF%
zTj|p%7Pq>MK7EZoZKqFk5p{KhKGF43)eL>2yC|wV=o8hIs_vvul$uf9MV~05rn;Lx
zk+#<gcEu$Sv(K)gEzC0{>%<e{4%trdY5a+32kwQ$sxLY<CDgd-jfsb<^@!Hvh#Zw)
zx<Tt7I)m$zl5$hBuke>^f(*97qSK<SsvYcrFN1E=gbaZywC(Qj`NttNKG=Q~f}Cr@
t6(B}D?7(6`wHs=Wcc{lKvvx==u;wh0xXR$FTL;P-25Qffe%V^g|9_=OoIn5o

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/data_readers.doctree b/docs/0.10.5/doctrees/data_readers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..e229d0d77fa5868e6f15d772993d55a4db287044
GIT binary patch
literal 32135
zcmeHQe~cW}eYdgie7CmGzc7%1&9H!dcFyYy2>~B=T4RGT#%E&;7~ErTc6at>#=AS4
znc4Fl)YKs%!D8}9%hDFgFHw}LO;P(-E0m^5Q<SQynov|#ilS64QWZs2RaI@Os-m=?
z?|bv+y`9^g+u1#vA0<-E?aX`M@ArMb-}n9X-n@5y;Mre3w~YNSSm)JEt2UR@OQo7q
zGQ4ImRC0=qs!{Ws&op;@v3agJ8VtMoS<h*>MWY!kLyMwmRZ6Z=Yfj<i2(|aEikAxk
z4Enk|W6192K(HZ~)AA+V*YmESmkigNXqv00nn6bQeb*{9d>|%7E3A?SpuwtQMfW^B
z#NPuoy~_U@DmCizM?o*1ag8!>gFmcNGgw17c7-^ajbN3p&rpx1nF&@_teVk0vOE~9
z>!96lnk$0gd^A}68WdyPxBGq%MD9NN;KMiV`ONOR>)76I0*$}QR>g34qno#zH)k)z
zxN@%NHyZ_WI9TNwMc;C25f{w?bC3o-ikAbv<yQ>lRj}qDz-uQscNlZfY~@K~j`$dR
z`(%@e1ps%Mn)xa7I&+1YoiwkVY!q~JJ@{yDoNAhv<NsIS|5xGvpPXto%&q1QG~dRX
zo7bDy9$CpK9R@%28CS2HDnT!wG!1Q<sG8Q8G&IZij7nKMYgH<mRRRaC^1SAoMon`X
ze!byqPR-DqGCk7DPNm|UwQ4i1ApH5d;pH;-d-R6d5mPlTFU|5aL-*##G`r#XS{(`i
zlxXETjTw`*W;}8VHaMGOJQ_8}!6d+GMm!0BW2F03#(<ma7}FuCvH|%+mxX>qK?nIr
zIpYD7FiDsYoMzsof=lM}orE2{9S`>P#XCtszkn97;}D<P-3|S8FGD{O4t*(QE~R`i
zpvReHBu=K=%q*Kkq#JBfvB|WyV)=%vSMr65Q#_-p*dD7|cU+&Tys#sh?rEiZhRuR~
z_$x<xH=3P?t<966$rZiX><*!oeL#p9$5eSX$xsBtbJfa(SJ%nf57k`*rf?R24wM~o
z02hLxie8&(=redWSfBSz*tlTCv}Vi-{_p2u{K=S;z41d94J$0#8!6rvnz&x0PFyic
z8jV+D%A&zOa|eMLv`8yCu&)8h)7>ko5Z{PG+i<YD(5O@lKVPw6$EAIcmV21q<RRm#
z@;cBC-1h(<z^LPDdTm}S85OIFW_(<s2&1u^uaYOg=oarN2ly%|eJ%X}*Q47jNdhNH
zy@W=;#bJ|D!;_dVM}k^?_kG7EHEwsgF3N$t5e}rKjimVv!2M==nm3@^ANNJ`@cvoX
zVIqlB{8mV@(n8Yv77)Lkp5Be<_Jh9YU2|M_ztAxJwj}>FB)PSbr23~o|FiT|Z$h_!
z>Wk`ihbU~|UYzD{oY(J#gfD0(X@Aeu>}AWBElW@S<skpvzQ`Y@_^KVp?af3HpQ1{m
zh-&^`v#;!l@XZ+VCiLu!_Vvg0S_$rhJjR_ai*bqGXlB}DatI6C%8{^Unw{%uBv)W0
zJNq5UZTq$RPuzn5Pe;_}ST*0%d`Ar?+xv)uGizjG3KvZD4vT{t?+b)v>mlN&X5Y~h
zTdzdV{XMa@bI1}5a@W=jmhWWF`MJ<JlYbELOQb!)BZvL%o~Bnk2Qu+It3b}#(Y(4*
zw8~aduT<tW`d5_`3uD5}4UWBNQh3vv4HTVf6?z+a_vyp_JLjLfn24lEid-amPa^q*
z!lg#!8Qrq$R9hmt95Erv1`)oov{wsbKZFT1Uq!$d{)`8FW13T^)Y04bSXRUlZgxV;
zj%Ck9!QlIWI^rcok+!plhMHeCpESR6!Tf3zCYl#o<HD;Irb^ZOh5e<HMdN2mM!{5=
zRJQ0>QLkwQL#sHbCzP}X%P4g+B$00Q4JR6|{Y9=iztWTHXv!!R)#*MRFnz!7P3+!{
zv><=hD0m1fbC^i<J4_SE_hwbKnKfKw=XuYoklvhh8-}Vn?*r<HmrQlO*0<_p6{bqn
zId;2&vIFH02*ACfYw>v`6lhj=EvMnN)FccTpIV8TDScMADmq!ZaQ?|6!?x}KD+znI
zJus18jH#8GCONmi9_zhmX@cQn)rsqQik{4ZNOD0}&D)Hpvs0qfLnLC`6^Y&`EUZYp
zc8UkVs?cZ(cOCtX=(OJ?j%fCGQ!xg$G5gz550=^Q1e2t0{V7@Qu%>}jm{}ewW06(z
z3<ND?rBL6ZlrE<o;N~gxm#|QUc~;UwkBn8*sz%juktGsHz?!vmP3H+@UH8qLb}Urf
zy5ah|RTJehfYz$|JoC#LSU(A#8$fclq3&uWt4LKe3Jp<_;Hr#_^TR$2DdxAinBR(o
z)=ddiXxo?~?iMlMIxW1iRYOsem0|KElzo$^Z;mmMg?|b!O)qv#bA^niuKf>07f&HR
z*BeM_O_<SqC)GevgS7u1Jr+wc1VhF<F=W$m5&unx1D@tCmWr>#(Mw6J`Vc^W9wS?^
zZo?78Xf}r^Bs4bk_hK*>w{e7(*|_Bs5>|j8Z7Ax_KHb#Hpy!1}5++L4OZG-Vo3=|k
zO2uqURbBJ2)KQxmLv7sEj5)nphohN}2Y8_xMP|po<}$8E#O<Bk16Br|rWeMzl@KaR
z3W~fob|QB?xaytrFGSS6bN<B%4G+ffha`kaa$5}g;*unK8inp;^jXmVN!C6YF3Mf@
zl@TQiD_(bzVa`KPRpg}YWEkZ{Mboj0hKC@Fx|GS<A`r{EM$vIgUY6^%l;-V(lpBTP
z>2VN`1s1S&jCdSkYT>la&}jC-XozV{<IP~sFD?NSXRus^l^UazFFKV*wdR472g1J!
z2DvoRKx1hXIWJmOqTmgqgijsQs$%wJsP3vwpU!ev+NX)jo>$9G#b-=#N%7LOJR!!h
zbOV*M=AuA{giptGLz(8A6WBZ+Tzwi^C!`>>5R$;3Q<7{p*-J4T$&->i7E#shWd9u6
zKez;XdckA1IA3#}v!tUZ*ouc^xf*-HVlPxagu$+5r#03RtDY3|>8OkNItn3WSo5Rd
z%UtF@UMZmk0N8sISqTas^Smb&QW!Xd6GmBYRD6wMh%iQrtVQqvql|QYEDf`yI;89e
z$vzR&9YsF}rn3-26f!^^N%<r)rh8Av`Y*0~gpq{|S9OxFL=kjuvncJ*5ta6%3u%9;
zciL}bwD+ifQEVOb1*Q!Lx^v&RqUYmG3dz!1%zgi%$@WoTE+53c5bR1I*TSE*gkPD=
zPRv>U0(Fw@dc$|NPqPV2e`0d_d=p1&JDRJ!Rm};(wl>&%c=F`ur)9mAZIcLFl6<t$
zajgIcSJJFn$(Y;0%h;nzvbnv>5eP-<x_u;K`_D<qH2cp|>6*wECeZU+Oj2e-Abew2
z%#FuLe@hf0MjBP7JR;Ayn8eU2^5pL@ktpo^O_Cj|%5t_cgYctN10`qlcYJ{3!KOAU
zA)&W_9rjlv>Fy@MUi5sMVP1R^{E$;9Q;)3*pW3KtoYntLJc+S-eH?^f^u|_36L`r4
z#^V1aa7yZsJOE<xyL<rS!3bk<G@m5k1#iM$DxU5byAM78i{VSAi>%86#_m<P(%bY_
zX7_D<0Atcnr^bc_z=XgywF-=pEg8!swrxdPiDl7)dC8sK+c$|cNYe{)AZ+O+{dx4<
z%ING?(w#NP&ZClGPg6Mo#Y(YgMw67=zs^0weHBWg$+NJ|J=)`<q*hcW)z}!jB)wV6
zl$yHO?593b_Wj);N~__L9~CweN~}Y)-{T+w4pUY6K)R0-Nk+2^F##nroQkaZs0S;u
z?guSV#Cz%{@R=}oQ)eYA+ZI|gw0Drg_TCGv1Un-ttyI2AQEAoKb{P^3R!C`)Dx()s
zA|Q89bzX`^Sg|0hVH+3~c(LV?Jw%~ar*7(taBU*PdgSpdzp$04?VkGl{}1lLtPz{w
z?qeLp3&EY%mx7C7&lWzaEpyUR*)CV`dZeytYA6R3MOPI(*fT9A*Jz*h<?}=sFD2d5
zBTPA3<_w-lHB@rnkE2Jo1?Iz@SkiBS`PmrRO4!(Sf%&BvjAS!LLno}v52^)bdp$)!
z{AGH#b)=O;odfGrqnPM41!RdbDwIWK=0z%#D4*G$Q=>9kxq@x@Mh%5Jg2`)`lp3{t
zLEE$o25NB)GH6uWVCD|R?MBgWpmv8fuyB7!*=b;96-JoA5?zK~r41pdsTQ3Yt!rg8
ztp->CMCCoUghtC&wD#{>;j*NTMXY&R=Fe$&%F6kKHjT{@fQ!8CG{Er!;}k2sdUfob
zF!180@$qv!*H&|@M=mbsgww?CtS$u<S|!GKSff~3m;EGBiC1mJg;#Pe+utT-MtqV=
zr$uIW6g}VIx*bzMWk=|nmq0Zxjbg~yBlzeHiVAhFK&#qo%F@o@p2Z{;HhAHKtWLCI
z_;ze6DK2I-l^ud$a*u`c9g{X@yYK?r?V0srFUfvMHZdRl;}|82J1U}GO&dh6pne!6
zCjT*v^#`ndGF(cL|7wwT?UNb8z|BkNG)N>)e-s<5Vt`7~lFJ!mo{ILu1EgM9VxFg~
zg(Z8%N*;01^g6c01V}M2J!r6efJj#=Gl~K)*=o<)7>;BWq8N&(>Q*)HMf>HfeKK59
zO{q8wmv)<BG?5P#=OogxDCU^g*i(vXC?gA-itS?*=pa>#;v3rkiqM6JAsO_^h8?mw
zDm>G=4%^Cnnzuk~BHpWE%2Y11U>ozVeej4BVa?Z<oHS_;iHG<VVt@&Z@lm#9L6K}1
zhD?#^oKh3HU8I+q{i#&yDJ<d%^xWR7+I2Q@?TsVFUZOmr&Wm7(;y;Qfl~RxTETPsz
z^_8Sr&;AEa96LymMXe`#AZtA*I0uiX;vm&}jz&FLt>?j(RQNlDwwpo^QFO5iJp{Yg
zLXTkChkqba)YDwlk3@n?Q}uXA5qXQK_e=||>bL4qBf`R}M~^V2t7Q>YJ=IXjZB@{t
z+p5P@CzkYE_4rbZY{jE@UG)fJFp@nh4V|!dta`*r>TLeheZTou4#kqrQ5p1|+P5TC
z4;>!{Qq^OLsvo3;9zKfq@wLl`t`t)4x<<i5m<8M0z{YOaDGcSKU84&<eNst;5F<oL
zUmkg#v|h8nkxKbRJfNfJ@9;?w(^RRb!QXV5&n}tn^qhpJOJ1XOnvd!TDYJVWy4P*t
z<oy?*bY{WterU9gN-E!pO+UqdUE-3;U&bg|+zS%zYJ8qlQo&b{_Mfo!$#5xeePfY!
z?Xw2Lz)e!J!zB!_#m1@_E$n&>x9eWSlFEWi_tF(|K7>`9e~(Km`nn`ovZ~FyF&xQS
zN--c&)vfj$X#cOQeKOou-3+TXoz=PhL?GWRGESAiV2EM`iapfyS$UR_K2yq?kUp;t
zk8Pk-Rzx{1&tzt`V}OMn+vz__B`%pSltkYU^<YV~*^*g(k1%(WL?7RO;@<o3IC+us
z=u8Mc`Z_J;o(aLbkIHbQ*l*!tzc~_OnuOX`#NQ(Jz0-=~^_x@QLA3FldZKr*G7@2F
z^`TS)CcAO~J-SV+Yn>R=Z(99ujBF(=={l`0#$Y5*aT+>d?U+`_N$PAC)wCMNvP6~x
zpkv93l2!+Yy3WcvCV?!M=5sj85$yBC2Ci23b&aBn#4lV6m-@yr;gf+>d>0v=3r0Q8
z_@68%a#4>(7#1!pd>lWe`JRg}yGa>dlvS_iB5`q}t4!u4i=SSN;Yd~@n(RcC8lEI&
z4<6b-%i1TyZL6G}4MqF-iDrTbHdF$G)%c8@4yU47tb|ap#|cps#ViR?)G#|niXs^i
z2PjXZEBzs{TC@K;6~`%p`hL`dMNl~YPHy`+bxdrUJV0lTvK>vd+lcm$(s;$E{p^5D
z_5>kR!=)2MaRiR9pTRaI`Ya!7hWJ=?EK_c{SUSY|Asq$4A5wV`C*{yCQgPZ{+c2!t
z0Rf|vhJV&^&z#a2pLV1@F@T+{CpNRDJT^eP2fV-`g%oA7uQX|_IHSo4k1)vKh#y^R
zB{15L`Y~(SGIEC#8G2)_oDM(X)8WUFa;J$b=agxoPKRJ(I+~3A#+Cm}l<@%I)?R^1
z55c0!e@Qi1vbH}%k8Y#N$2&2l->7ogAUL5UeTpOMI;tFw!AN!pG<3oW*^bk(2U2aq
zEvj*nIy(zBsyyGyp@gWi<q(90yHjb4MfZmwY@@M5lc<K%a-2ajU^(hky)een7_$|D
zEx{oO<1y%qi<0P3U2;;)@C4|;fwfPDOEJTB5hV))+Iz|9C+#q9a|i<SlC-);eHSbj
z#WRF^2s<|rQ|XZ*Rbc4EB2a`<JZO6~0>i1<lhMG_Sj{hiWp^(DYd`)#l{rTK*=EZp
zxpK<dGbAF-HhPlOm(f#al1fT_d;36jjwoW*NY-PQ-~-ijsRl|0{!u=_o<C5f{;FH*
z&If!2m}eR0#qEp7DeU<J)t89E7_0mEK=rp{15O?QvG^4}fRrDoQm^!k{VMRi!0;v0
zMTUC;V?UxFsD3}j$z;xu#J(pamgZB_C_GC0fhu83FX^X1=XX;{y7Sa*pUcxE<@T?0
zPqEKh1_9g`cJ9$07X=(5#a4rqV3_%5^2<uqpygpg&49A>gqpz+o!xwpK!*{8d=LrK
z9$E$IX!aoeM+v`^m53?^E218(V(@fJiq!Rfzms>Ix>yS?8o|C~8y7#Y1CgS>f{Xg{
zNN{Q5I@}!)iM&PBd!~h&^_vXeK!ovF_m&=E%GikI!rM{}l}uw6J-W?>f3*`!`pt#+
z#K=}stFCk5+hZ`2Co~P6uy)La<0N%9fNC!MOe=>Ha^Z)S<Yt0CoW#*m;bx1lL`Yvr
zo;59O<v?Z4HSi%N|7udLH99pE9K#Btr)7QEzij--C_7J_;cBLS=eSf@k#iAV+L|x5
zkt2n_NhKAr{_-r?IK`xsEJccX9*!_9OjqyVCsTQOd{U45J8A}f6=XJQXYjr1yvkgi
zeUnPxcgT<WNkFLdF8mVXz!E?e9%@NoNsIR=F+;QGBA%qNc)yOGey?2bJU`k82qa?R
zQCk9pAyTGTe4su{2oK05Cxi#<DKyadMN{lpa3O?+FC<4_<{W)76-Oytcs}aE!iDEs
ze8^82Df|vCDtonCU7(}k*ouL2ka<p%XUNIZgJCH$)OuF0SfxcSPT*~bzYMt7>0IFq
z-M=6f2zuPP@ev=TRFc=Zl6)f)d75eWf}$)fN^<iwX-U69#y5#5Zv8*g13YQcS%C4a
zR6`^$`v!V+8(_TBi52|@7;nYM?j^wZQ4B`1YoehO){X&2oTSbMR1Gk2;ZtN;06G?6
zC|frllE?i|$Rks=g5y*SoIoQE9+oFUunPfDrM(jud>Hsz@jhHUgusJe6hQ7WJeG1n
zc=4aa7p`DNN~8!K2(2j2GSn1D2;}m83juQCG2A%9E0t(Ol<^vP`5#O~$)cnv<KH3-
zVU*FiOM8Du$b?I1@ptRV7Vly<ei#1hR+PM$y^Aig;O`RrAAF3|qET}T-JSXArXdyv
zM)_Ts;oXW}cr~WDm;~)&pjYtxn7OZ&!6%G49AE0oyAn(J!hD|Hq<OAsUpoXPSmOm(
zwrz!bIL|fBEoh)pDCiP+qsunU>q+I82O~wksGbim;hYTCh$rmg&dFd10h*6xc?@Pl
zbmu76q-!|41b2T9KA=|`xF|HbwQa{F3J^Hf#MOPrZQ=)*kHbcA@G5?+=4dETJcFN^
z@F%f-GFa<7#XQ|FN^gN~0E_+Zd^6Zsb{xOv_=fTl7mBW>t3GRuYJQH^`{|0&5t?#!
z90y#bi&Q;;yqZ5j)X$#e>4TwscvlW#3_H*k1dIWLcMZB1FJHklt2B>X7GzAl68*%D
zs>Yn<=P??;;fY2A!9d9<G-l9!<gD(}tpR93r>@}1u<znVKN?i?sbGYkJ%n2@9op#7
z42BzidDpGGJPUtc)A}-RxUS>oO`M^Gn@_=KBDLr@gLVAc&%A^(z@RjPEwMK-5cXjx
zP%y&bF6@0x>x)?DU_Fh&1EWl^sKRb3Tq|xQ1jkFbmhduMO&e_D%Rl*&QHOp24Gxq6
z9|m#sOc}!jN32pF*Bh3txu!W7jL@l(dHE=~42m4AEj6n3e580_EPH?r5QdBUX$ast
z_5|Fmc_e=MsO}k!l9R`6ifFYSbH(wDyxNm#31-=>g)3c{imuC-ERSv=!9YSPSBVK>
zULUN%U_49#on0&otqGg4OA6RUxL43#4<JE`No^n-f>wgaSK|)f=qFTk1I;REPHhH?
z$nGj^-o5M}e?Ab5)Q!5F_)Hh+37uD(r|A)B;y#+QXV2#N1&}$%o!MP7W_P2dx4Ri^
zrXGwG^vL6~L<q`f*GU@nT{n(@7MvY%%f%QPdLq$WBhdJ8V_wcO{4zsh`qc_h4EuTk
zv#8{o%_Bp>7U*OZYn9>jjP7{N^Ls2W1na$doH#U>kM5~#;zD4DRDX?E)iKe&(7?R*
zz^F~^H~*Q(C7yZ(k8uz2mZFKvG;p3dvP+tj;4)(&dY@_3aW5uagv_s)<#yl#w8tr0
zwK8--7>12xDqt8}+pRaM1)RR*`SZYK8io&On~TU3&g6|M?xe}%c4iz5LYCpFV1-ee
zZQ_E)V2GOt%t@#h4wA*e=};zq`7)z;0}w%7eB90qRe(#UdpU!REl>G<%6JTD<><#C
zO$%JbOokkn%B|78U=_XO&qlci*kW(RJhrc<e|`x^b=VKlKX+rdzkP`Qxehxo?5*_A
zU(i2q(m%`KTJ8Tq<=g%Z`m0I*TtNUf;h#n@Oh_mXV%I@4G*2-slMKTogFeY1Pco>J
z4B{k%Hpw7OHq4E51@abi8zT+>VRX?6ikvR`!k*Jb9}950Xxkg7iwfDCF3MOLUCfs^
zg0-r8F;=cES}?%GT=0uOAuA%<aUrNrcsnQ))UjG{Dv`#rrkBSaMy-ciAPx(xtkcF8
z_;3iWPabG<99H;dS&)H^E8=7>C~`AcjdN4zs~?O3es0x)@cA>4y!{|Va%8#pWb*`O
zD|P^4{^KHU4;R03#F5EUALE|o5pNzxdR4_!>5#(<u;t!6WEnh`yy-5;+$C>|9d&eh
zINv}ZZt~93kwx&kh-SjOn@dXhiRCJPK>D-D_1Cu{Ec^XM+64ol$6X$*Bt?XoI6Qgh
zF>-tS0(6*Rag#U#7yI`(ykK?24K^QFTeV`PQG$VWX2^JCN^~JaXtycUY7}z+2lf8o
AqyPW_

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.data_readers.avro_data.doctree b/docs/0.10.5/doctrees/dataprofiler.data_readers.avro_data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..6f0a3da411cd9ef812218b7e089a9a247fbb89ca
GIT binary patch
literal 53055
zcmdU23y>vMdEVDNcV~7N*wtcKY{3n8Wp@Tp1V)zU0>bJpS-_~9<=S&^&vc)?_x9y>
z-`yRQfGH`Us*UJgPy{iGR@4&lQJTc05-p(cQO2YaV^#@Nv|`GXmXFeuiDjApKd(Oh
zIOlfX8Dy3!X8U%ZbN>H)=YO2Xf6lpU=z&*%YZd)3+8DH5uXSwNuGd?B-3fZpXx*=M
zn@%h29q;XUNAHeaB^vA4M+3jxsX4u96{M)SUZdV|TD?QPXcCi$UL%<1`9}h$7J7b5
zW_O3&VRz(Eui}nHL!lQo9OY9qcIA<dZ|$)|yN8J&&AOYNV@O>6ba#((0!5t~4YzHe
z9roPK(O6Y7>#mK4Igk6Ibq%lO^!9b<>}cE$!;UxC4WVvWm$hC!K)y$64Lb<nB|Hzc
z>?V5}t#{k;k2$+`xZ})Ynr<`_+6(xp=WcYT+zsv-?pk+Sbo0zDfzt_Q-tb3nx!{sl
z&9pl{31;e08+e-c8ct^hI1FYOXNeEfn5x=w>^kJ1wgH7IzM1X>P_;AnuIbLXtD+&V
zRd<dlcrhs5mqAtBmjhg9!~fgi|8wB~9at?ursL7dRHAil+w1hAbDMs>+i+fMseEb3
z_o7#_)Vqo#c8B+cJ-h3k>+Vu8xu-8C^Nt;MJ5F`3W4CH<0v7s1z%moV(q5cJB%yMx
z1<Ri=R2P78HNZF)je*G63mv=dDo{ojUG29*+iL|Dl?7|w?^uC-1PR!!y4CRQIz9(&
zY^1<-oRCtTW`eqP@cgkfUk$Kb$wX<NdnO93wrLUN%R%B+6uP3-0p)3CEQGde>yZ@E
z;Q$~8ix6FO<r@#|-vbI@Rak3yts-r_qZjQgAgR-$^j@yWGVDR$)`1DEDKa7~*DA1c
z@TD4fU;|Kel{C>|QFz5`wYy;z^}gD+LwDBN-$qktHx7c}9<p{@`}~%(lh#Z5c4ccZ
z{^rvhf%18eR}01W9aQ!z!0ATHkKJndp`9|f(J(_$$f@`li`_7^TceoRMPtXBjoF}W
zqwyaFRRD8$#Oa|l5-4S!+rj%+h|Vhwjp_tIZD2rwe?#Lfe40BHy`qTR2n>rQP9l7#
z9^p!~9z<yuz)87^CXh+mYV^0G+I07J_iYIG9WmVQ+o`dD+KtiLrK>h7BvP;+zeuw9
z9uteB$Rgu!6v^mWdv_jdr%=|=@;05&=`=iWYzq8fcwb;;k-EZkS8}3qvAqx%vLxD0
zXa%Zi$Ty}663A!XCmY}ieFH?RTRmG91QdeD0qIXrxjv1;i>$P}ty<X4Sb^2Ef(Lj?
zQvI@tYCB8y?>N=1(P}GI)F;%U+)oQ95KSaZp9FA2+i9U!tsaApmC_KrU$ZqD75P$h
zPN;PBUK0AM&V1c(f^_wwHSI;{5y6Xau?^O1h$<NLEAfrpS#UzIXp$Us5*BA!-=`Oy
zUBEV=Ib57&W$wea`3|7;&(Jo1FF{y+P&UEARDFJGsLwYt&5jL#MgN;9TH>`9JWHzR
z-x`Wm`-%!w?tjHNxj#xEL<y+ixIZaSap;a>Zyp5ZP?9^cY4xgA1_rftcalAdFJ&+i
zs*xw8RAV+vjq%$~#}56DB7o8A-IC?qDVASpWI0;xXEcUXFbh*v4L@Viu-BsF6vZg6
z!w!PrgZ)ToF1g&y3fQN4yW0q>N9;z|NwO848g$!jzY|u2rril|>-sn*x(_6m?3Uc7
zP*%i6xS_v*YCQ&ceq4xRbUG@F(qU2hGqfrd#VoADw6cQqN3w!%HdfHhZFX`CWJ)TY
z*7lJFGl5+B69lqNNx!J#tkg9&frto)BCEl%2}&YyhnZ2OX;h<U(Bzm<Uv(yn8AP?F
zjNET#G#^n;APdJ@04t?`kD3XTM}pEA1O&ZV`>dHq69_4tGm5xI0=si$2QVO2(qPQK
zW@MCH2%poYm0PnuS^zv;rt;9&mVM96$qi{v`Wi6KU<yw~JoGl~O!K%aW5-5#dSS}s
z@1zd@(pW`}HTxN4Dr(KvtSRqJ2`7*vOZY`&%_c=p=^!1DmNsWEHFK)8(hFeDP6Oge
zNcHCITr;Ejn#>7g&DlCcD`n3vF;gfH1tZempk-mu8?@J(nKZ$WQowwJW){K{2CZ&n
z)M(K9@=(s89Wiq<fI(vnrtnncBW2L~C;Tw<-uRpipF~jd9I|mf8Rp1gRN0Hharp1g
z5tz>JB_<@I;ZnmS_ebt<G&<jHH0YSwJ&t3gy1NbO?_CZ2*l2M;JH=d04W?z)^#?Jf
zSaGkA4lcOLhROR`i;cf#->M(4k-%@Une`iP+P`lPbU)v^vp}{vD4%6RN;Dfcd0V3q
zPCQoY_?0_FKAaMRc+?hMI1s<g$&5uK4G$(#?1nOIA)i8GY^Y_J2+e{J^A1DFDe{>V
z&&d%sEG5wKIvY{Luy+?5_9nyv2NIvgVy4I^;UCjnb~H>!>9wK*ZDpiN{szj92di>W
zzaC0-j<p+J%?o??(F8~BP75BDaXt9}W{!vL?(xJ>w;X_M$iFRGiBq4bS5yu`t+qyM
zb}F+r^w*N5RHq)~2|!qADLDZ@`U_{atdwwm4~wDeZF!3%74ju)RXW+zUo^i1X$y%a
zc?L^WCGS7+MRqz#D|zIbkb#OE`3HD%kCSg<2?i<4L4r#e`6n!a+DqQ9irr2v0%8_e
zDN?gMin*DUjcw@pVwRY%e}z6Se>rmTOTY3pKu*~&Cci^orpRwOOYXM3MorIq;>y>G
zRkU1mFTTFzg`VB;Zg=SNwz9}5Ru<7|1x^^?dL~X$TG$|Rd2#RpVyq|EQmi-NKUxLK
z!J4ec9B1xb3k{W9yGO3JTh^QdBI4A%dC#d^bBk6RR@8CD6qfFqPSfu!(v>a?mQ{~<
zwq;wmFb0W2cY2%+CISm4;&2HTbAk9_{jH|GXxWXxPZr;$CG%02RfkSBlmtr))8jY#
zKy?mE=4H;xxu1tuFq5%~i&iw7AONQiDm_C<=^2YAcn79B*YInHm2OOQOtkE7+P0N(
z3;sj>sKTmz(++o21(~&AwtJ^lbA7Ldy}z?C#XK%Bowd_CtK-!CPCdX!j2k$MmJv7&
z=)gMl>S1Rw5T)Q+R0WFKG0qlL!AHJ$3`lLI9kFu(Y?FWDJ$|wS8)ci&)3GGdv5kM5
zg5j*yg~eM-AcFA@fUH#mP4-)jMbtMiM6pJrNeaeAath$Ag)l-&R9NxFn(z2cD|8(T
zdhK4vq3s5CP0WqFs60q?$!ig@DRRl6(ma{Ocq|$RyVs~!Qwy7HWrhYj(eH|s$DerC
z^djQ;jbgPl5a6k=WL>DF+*GC_<PTZx_u)Tm=!Fv^vJ!KCeKEr+d|p2X<2EPMS8@!i
zUxjf=Gn+jY!^={uqZZXZYu7I74$$<Y_)!1AWD8v+I2CXmazzBA9wvnW0p;~u3ku07
zv(U;ro|*Sa6ps`}F~W`>*N$56-c0Wf$3G!MxefoYp0`zr4Lxl&{G__#cyP$111h;m
zRMKg-T|4jswVHG}j#rI7C#&;ksp6C4xRj?S5o7m0%C0`C+6!j=?3_L?U1LqI9g_Q@
zVDe7*lZzHEm=X!q>K*-%+8Pa6-@og)GM33lbZfL7I~o0@N<vpO1Ls$5zkc2DDbnnN
zF3QbeNCSntG%0DoKVl5Ur6N|P18C8$N)uN3yf*ZDsFmJ<szg5|)W>Ua&7#9~=$8c{
zgtDQP2b)h-lIk3r*dSenEJQ*98DWIj4+$5A{TXDrP@hsS0YYD%r1i#;YDQo1lS(G7
zFXUY+*ON(D1pn#R$(lTyBB56VY$~oZCn(GMq^i!4#~?8^AE_CNJe_$C(&`bTIwRrA
z=u8GJjn3qxyJT?jk#I&!C<Mem%~gNh`f{IED5+Z)ie6|12N+bT#GB+m1-%u;i?txk
zzg3dzBiDntsg}PbR#b^jTbGn>y*%kfLMYKDC`;pX@KbRmT8EVvs>6OHx!#c~PS3TX
zFn>VV(<dERVa|nu_2^KAk<ermCWDMdVRF))T|_h_a8aS;paf}3{gq&%53(60FcwMX
zL8pL^S^?FvSyJp&cIV8czMdt$o+c%4fPa!6u0jqd@1l_d4usjZWH(s;mVi?I@k>b}
z?*lh5lk5YNIfZV<+nN@!BmQxU+*O7Rn46m-cNAzdjxMrW3SDzUTnE(!2E?q6n0^~9
ze%n15U4?eAigwVd;G@|1pxIy`19UC9F#}?_UsEP0E16kdbpt}SPH#=gnCpla(J5l`
zQ!NecxO=}$GbXDhtfBHIDTrS*N<hVZ#Qk7mu|zD~LF6p?oXi`2V5NmotLV^x>cbKp
zITER0$89#<Eq_|pibvOH*T!?kFW*e%D&{W?K~I#1c?}5cBlQx<u}RTHn?c;W(q`l-
zWI2V+@HsdGb&eDp2>s`8l4A42!qx3ZJXU)0I26iOa!C&+*~tU&Cn0>~A$U_P#uXNC
zkCTTnd7i=`a<G!S!o`*@hCRWNhQNXkLUn``bAzwjPlc}Y5l9X#E((B2H`(Gb=xpJf
zu0f4S!<Jq)=W)qoYzXiifu(h7!^k-Pq!ISY?~#_z_I_c2rdy@GH*U50g2})Z`x?4I
z#c9=iy1%KM)dus9UExJA+OwsMc7kYf8;)YQqeoYq1xztcHQnG?wo1p6%1E6{Y(B>X
zl9sd*@tdTTsDOZ|-FLlFRIS7-WUiA0)Y$P(WT68elX{!P=ptF$yyZl*1CEg*ufbwc
z#ypPWg;_@#Ftt&Mc&6`@{9I$?N1cevZ?l+_*vODGq0r^G>^g}R)_vuxB(?A_=ZNQ9
z_$!3Pk6v>VY~(}%gXIct0%4X6r<pBSW2`wAY^k&Auw@CCjp(LO^yP9{cF^onJcx~q
zPLXP13BiWI1$_&1uo!?pmX*~T1I2j>Y@iS+;jvsP&I@+<G5enMU1SpIkt6tLBmOyx
ze>Tad&G3}tr#Qp74{xB|p)k6*)(fhzNL6zyJ4y~O*pw%1J#+m!II9awIV(X`>!*01
z*5C)^uFz>wScO_OwlVaU7VHbfU7<Uzs^?GNME5mczn}fOY7us3T)+R&PK!@5D5eI(
zN#$-(Yu9DgobNZN2dTKRbJ;*^&nhqdOY)_ZM>>$cA6l@yi-}~e=%E$ow*~C5n;s=F
z_AaCG7Zx}dzes}eAz8ihJ|%{RJc`9o9zG(C(2dJ23tR-^T{-8KrNB#wxA2Y05@Zi0
zev?G%3r3_gaqgdmOwcgOb~zcjk>0ULo-`B4k4EMMa^l?aiz@EQuAS|LRFi|19n%ic
z?5U-!6De|fo2|}*8b-C8O0jY6w=+2FgWrE_<}@E?P9O_L&H(@a%mkF!=7La^7~p4s
zz`#g8L7#|`q$Y7<I4L8kMk@)$2Gz``#AC`#sXQi0VgpKv5u9l=%O$~CkKk~xm%`>!
zGokX>Bxnr?4Qy)VVw2h4y5G#N37BMu%xE-INfi{tXacrrlE<0i$3Ec&+U3+V*ExUx
zhX<L8TK~713FL#y3FKIR{Gze`OWo!4o>b8(qoFiZLGzZsX)_zhj$;Ijr+8NeR=u(R
zsF~S(SUG{LvCrG-^f@zy@^EB#I+cM!ueMK{88tzX(nX`RYlN}HZl`}YGHTrIWL5~^
zq1<k#pPD%tV7C)vFomZgBU#(lKP_x{BDsBWvD>J_7aG-F_;O5@jy8c=sCD#XvirMf
zBxz8Vto4jYG4Heih!=?%9Y-ef!H8ib_khn>{wb!-a#B=|y~OO&iXJ%9iKY8^mo;}{
zN!^ro?afXQ(n!Vy?}*c4lT0wTRCAr$VatOce-Y#eVSN@H(cslt$UBe3g=j~Zdy+Fv
z%T=6|RdNv%feQ<ZE1!8<*`s^fNEh%rK_k5`v!Gw;A8???+48=f`buI*hXyy40Z@eA
zUWb{s@!5dApt3oU2V^0KcVjr<1#(Dkh^Yk`gy3%HnB9bP5$kO1nv7Q}G1hkqS6+?E
znSoq<8x+n<@<3S|-a;oZFYpgPB|2%T9!E0pkB$O)yXA~JZ%-AbH_*r&5Ai!nnbRj#
zdvK+~V&4u0>#?ETI0;N9Vkv`*CSoZk-ODmzu_?ijQXch93Z5iQA@(BaV=0*#nIgCL
zK@`E~p|A&OQgbM*45^C4^>C`*!t)x%)M=iu%V0b%F!HyoKh^Tj0}HAI>Lo$nm_pE>
zpw-D0bo``}N%uLDg5Ebc@2jce^js^V{xoGzpHvlf@@`06G@AA6kXDZl6?F+sM$|LN
zXhc0H-R7(y$i|IwK7u%>OX)AppX!5JMx2dBiom-!6)2U5hM`L_MXVqLJn(K0P1@fN
z%0N4z8zK--!bf#uax^KldeK21c;MZ7%+$vNDtr7-_X5_1g1v*N*68VQM+o$h#Po|P
ziDWo3rGkckS(&=f=)E%_hpEerb>>ZkbzbHsTF;t<M*a&R67OWqX;bYkQ$5jCvzV!P
zQ?c<16`7Qq){K}A6lQ8r)58a9eT>gO+B`<-r7ga<e>&0P2wkZbH(LcBuPOSsB3{#+
ziN`F7k&A3eSO`mItT1an%$5rC7Jc6hhJ!8o-VGIFi@x+pv*^oLMh9K+y%g7JOD^?_
zHEUSrJ-^g4FDBM5@kS4<xFt=-Z@&nn2|3ti=?4!y`Vh3Z+BMPZiI|$f*vN-vu9Xd8
zydvCpv(u+#mCCOK$8eCxu^4Q=SP97k@NW4hTv9Rs4haJ_IRkXS{C-}g+*u993vb}w
z24zW3O(b7Re?z{8g-(%Yc-g{O>E#9)!_b!ZVGb7B@|0xEm`%iGih9V}CEzU@+VUI_
zWmfKae4?Q(^hsmoIKvoNFsP-w9ucj=N%K`OzBc|C-0WS3*})8A7pc=P@}7NH3F~d(
zM^>Z_OrXZ&I}D*XrzZ?zD)Zph@qf9X_Lp+iI{r%LicTJIV^g^~BekLnn)5{(2HFuF
z9W!|obBJb)8X3W2s1J<eown~62ko~(uI*qNPJ(cz>B$h&dq6d=#WN!0>d!e!Je4th
zlK-tn{&gXpd7LZe|EC}h%WwWo63>0XNg{pJSN($POg~?B3HMbt+nh<;A12-5kP8CQ
z^Z}iJr-l~q_rS?`VR@xvTS5s^SjYt^C{yIT!tx@#;Low1%nR<~nfnbhc~4&;1YS_;
zM=WJUz2J2~lzG9|;S=?O^hxIh8N*BQf>%>}!WTdW-imNBmQv3DF_L=E_sGihe1h$M
zgMibLK2KyD+}q6+mS)x4-70fMCj+3dpIfiUrSNcxcT(M{Z@W#_v-|)d#)!1Bn3QiD
zX#2sPMt*d@Dvy)cijX%!q08^9@+DPxsg*7@)IS~MX!r9^rz&G9e*BX3Jh|VbkdcRx
z#1wg`aJveh@)pd&e9D88%|at9Q7iB%QZ8d@DC$!_14Nlm`7AzBpF*E>K7}#76rZve
zuJ)+T;jV$|g41GGJ(S)*z-Gi?O6iJHz9omW-p73O#q}}S<0hwb+3)9T+S1qLWUsJ>
z2;dyVSvYehgi|#xv#t}(a*#z^8+ze8t=Gc|Q?M6;-JOMhSw~*oseNh=VPUm%ze&ZS
z*83Y=G4e-p=8?%WGH-M;HD|mPVPmR+7;bUUXzq9QPLJ`p0D-ysDhc)XC0u!qQWNz0
z9AqjQEBZ4tf&555P9P^d55K5Wpvq2xwII!`!r3(s`Yl=W;qhcidK;`Rc^EbUP#VQz
z#MS`q%t#_XQjtNCwDWoW1q?9$E^QZmMMO^!gYaTKAtw-1G%930EH21BF_$loRme8R
zm@GIITt2hhO`=dL)-dPNhEeyx=)-ldGIN_R*_=QYl-!LfH=0Q(v6uyAwA4nGGGNrq
zoR$P*%HV)fGIN`maCwM~v<H+T<KB&Tnrl!Jx^?KDQy9J1OrbnRjL3js7<OxX%*?0}
zig@3e5$(?}fkako^X>%uikU(Iw4=3f7)A18JVt0h#EpP_+sv*J^J0Mfz)Yb4AmksR
z2x{WQMS)Ag!ytkGW9HR_MqeLIc*u92>y0y$uYfyV{$c$Yra=L{KNc4xSyzA#qMzbD
zt$u^()2@U4`?Skx$<du0MdyE%9WnBf_0aX0B3tmELWft1Vf2%<&q5hJg=fxms1(71
zY+`{@)JxVDIzBP_$}rjxgs~GyvO)ANe4>MB`lK5~Gj^9Uh~DkB=KYc@lJex6(vcWQ
zOgm2IAti<tzIeHt6-1{w<H@{r@-2oV(H~MI=m79qqdb@gfLF=9D=^%FRlNU<V*VLk
zx5%pTCdk^~cz;?F(L<@M`awd$o@7j@m{UUDlVe7G&$?}9Hs1(y0$E6M;?MuYOh7Rl
z1<@$6>p2UATnNqVUVV?5PZJPHla@DP#Mq!%S;);uD<zryL`6_vP}C8AVS1`_`7tw(
z3YKE{sUsY-Om;(|%kKkIW=YIxue`uAZYHREyPV^j?}rPVlqL!QhbP-OhFWoWx|7n_
zX)|91KA6w@8a`2<N1rr4kDI7L!*Q;GooR3$OBb%v?!dV}1209EI~6TKRO<j&-~nDK
z#`{eX$7f8XG7i2V`2#Me`IELf1N6Mib&`M@_hKfp(1Ddqy-j-IU&z|#&9<8RH8E1;
z=U5CjajeGV1iV{*i>Z?nZaO(9)J{Fi>y~e)u8`A;=k0;BygIn^&8qoL*aGFvd2qwR
zqIJ}RO9J5JC9d)}itsrxiCsRU1fNW7pyQ17_)n>E#`h@Hw1T5NbHQ<jzyr)~PJ1b4
z*LcR)SwNIo-LvtDT3!02vATpYyp)l~Weumb08KHl$$eF+6*@*uYis)tHa5zUtte`6
zBX((F0Z}_M7t37H`(E57MBJFeuF1@RLR~^^y@nOAz-)=1Qf25kY_F_Xd3zOuLT<of
zQeDe<wFY*P(Ur(lzw*sS+B$!dM^&+suYy9C-%4gAQ1mQUuryGUb|J?&*Ji6*>CYE?
zoFGV#n+LeHL|nT7mrGekU9aX^utkhr6(nbX2FNL8kaUs1DH0SG1q2@NCS2*jw`1V5
z+vAsQSKz&6a1&e2?#4{pxXx<!#Vh*}w&aR~@Y$NLvV|i}0%-Jy$}mqig*^y4`Z;I5
z4G=4-cAwB4t0o2HNbJ=7(*mXPO<|%{MHe_WJbC5wP*I_S67xjAu4q5uN#K(86Q05+
z+E1WQnts9(M`u@vNZrAE3FS@z74)?IgcW!uM$B`+;aGegOPpu$PRw&40mXW`YA5Eq
zGS|w7GVaEVCIEwuO#DI`8QPWkiL74vu1pLK`7sug>dO3Hc02sW$iHg4@*6egJhn>Y
zU!c(C?+)civ*-}5ywinZ`C&ns-{Cmtc8L_fH>2I#Q1e@Ohc4URAc~j$q0;%J7?YPw
z(B9A%{HN3)_Ft*c(jMO_Jaa!k$(@rx1DunT{8)a9I;WjLlrNXz6I(9BCyjF=jNv5>
zVml6YL<bKuEjNf|)U?j2{~-2JIbP$8r*7y}wn)LOs5o(YC*4@1d@B&XiP_`)1x~b9
zZv2ex?y#saTN@BRrLeMPJT7daKa^Z_GEaA1CG)=6op}=YEjFgU;imoj_Q1}TX;FFV
z2;$JqyH`Y`(Y|-ZjUz_47h;QNi_e?R+|<gCAj!N>Hu@piaCwea6H)qR$dp_i)So?l
z*i0aQQH&GFi73S{syS66N^`b)RMN)*VV6Vfc1+D+ydza|Qv6kyU2v5#CRA+A^^Odx
z`Zd>{nb~|)Ie|iJt{*WIP}T_xqETYaH4B7(&GidrK21O*J)>FFHIfM3jvcF&Al%iv
z#ZVfal8W|CBcsNnN6p#*Jd`_n^m#KU0~|fd7);@*h=}OpV$}03KpkvHZ13pq`@x-J
z#t`;Bj^fwG`fKFimyGQ=Y!MFG=N2||-2U)n(nh5$Nxn>S0y%<)Uo<A~d|}Iq>;$1*
z2@Y4*2E^7XDYs{sE2Fe>K|>G|DrOd63JfHjjovKIn3>H-o)gGIk{jf`+f1T79;Jf3
z%YbpCnbVSB7z3@7B6F*maCwM~v<H+TW0dV}<{FfQE+?evPBVe>5S4JRSsBv1*Y}$F
zGy<X6N<D!;ADlqS-{fz|F`LyA{`;?tj2iuSUmnW&@2{IV8Nh!t22*${GHCSQFVM9J
zKQPu(<E5X6Oi5p%_tHN%6UY~BP9Voi;}?yWUh1_7BO8-Nr}`60L%l#Qcr7rHgjMf?
zPd7804=X2-b-{VpB2>&2%EM9ST7)bVdfWC|GovObQo5LL+swjP!nWOHWYlQe`tnfD
zwmD`_2C!|6!4#f~jAU(F|FpOxGoJAxH)97KCzp~tGL>-L9KojZbjg0xJB^huG6S)+
zoi}#@ebY=che~XW$wMH<j_d|hmVdP(4&LCidVH;dHv*kCznl-4ph2>?6{~R)I}Xrk
zXBin`v1<=$Xq#=doTGHY7UCu3dO(RBvTeyHv0bOg#|t;_3W<v_O{G$xKgMeWz9Ehn
zJaDrMaV2nWMBoIL-Dtqc`LM^)Yb{VPXZRGhg@;IWoOZ*mK{78Kr=Vkq3Z4E;q?PEu
z5Jkt$^w+GJ{<3T{kuPG7Gxx5AHjWYbJzS*ljWV2yfRV3aCWtMkHcJyQQvM=^%Tklp
zhU*mO9FzqXcZ3I0#|sw8OBFH`*Tp8Ze^?k4^>E|IAXoN+h3~^#knOw+7VuM|yO%QY
z$#duF=#2B9GaCF&sxW;A4<lXp1q;8X%;}S=eZf)}Ec_M<)?-6YotMC5PMy!-qB(Uw
zC*AhU1q->NA{90&m;ux>O)Yj)IiWr@I_dd7=wd_g%NCxcNzIon9Kax3tJ3T?Laz-6
zvEyC!0UYMCiyAt(UqsOfI2gmHE{S;~Sep*%l??M>Gr4udlS<i4UQ%cJ&V9amQ&Md8
z;-i-UaVx`lP?knJ@KbT^m`uVV=2g?LWy90e%Ii}k^fgg*=32_KKB=lRWD_JVdQ-z*
zNUKMT>WqXdqca(_G&+-$?h-0j1Bs7>Gg?9+pj&CK`s>!NKCMtvw=NW2iufWE@uux`
zFt`Jii|Z7{3$-s#edJXp+*Hfo5-Tct?*RT)>DJ4WUL=GP-9fR)busu!C6ivuOuCr9
zSDQSTDo)R}qA<rPd-|jUE6n?$U_CliVI(veg~=eJQJ9=`^41%ZXvpS{3MB_6NK@*s
z1h@A=HlqZ_BE|J5CknVN9#o4R!Gb}xPcskqhMeoQ4k+)Ug4drsTS^l7^(QAVQ=fjT
zG73=!->_*tIoRgEq1k>?h7;N^`0oPE#sNl-O95<dVIH+CMi?SW$DD}=hKUie1TY)5
z%-o&f6opMt9Tpb$lFjf$!@}s3CM;};G0WEkPQ$5%PQ7~ASqugbTrRhxG(l7wAhrTG
zKc*P(7s4Fx6ij6tJdXK%kP6jZ>79m{a>JeFyJW7D1k^aFZXydE`0><R=}KtN;R;#X
zyl5+Ph+T{nxg3j0g*BflLjmwese|!iKk&3g39nGTCVAUu<V~G@%x}M#tJoxwbD+@W
zp9IuNFZfKnsN*D%BszWeN{)E$Jf-5xw(#I(A#WC1L^&y@`6?Ti5F|52+`{dPFygf$
zJ1_@}vvwq_dbP$L3->poW>AQf)mSQu1|r`HM489A3!kXRp-&o*!x_%_HdS_GCS99Z
zEBEbGl~U}H$Dm^q4bdTZ-o;M%nep~6$s2u2^X6{Idg_XMX*7nLKX>791d8YTnb=D@
zCD60ob6{m@$02&y)3`h3uI23RgeF;Inx>D21Hap;!3bw3w&dz)vexZ%oK{%n@ApL;
z#G3|e?C$N0Mq!Q{r)Yy-w7Krrx}nzy-~tE;jdxo0UNrnhyU}%mp1kFG<GyH29v=ny
z$Dkf?d#~MW!;kfhOclyL3_r*D&u*syza~Pz2B!<x4&zrKHw1ij7JJbt^S&R#-E@xf
zaqnuhrnRuuZB~!r8SFiHGYOW>Ygb`2dK0n+P~;SQ1KkDsriwGkRoZaCGEn3h8g>9P
z((qyfOgsCXu-b5rIE~)kHPN_hH{{QuXfsS$16H9Ob_0=UC>p9ebKM2VK6%vc;D{2>
zyKw9#ycr8SFpG_q>fIYnvYAk)RrBkR3eJV=hV#2F-W7Q8d`9wP)#-HnPSu6EaJYE}
za7I>ZVK3U~cf)o!tj47b(NcQRw$ztY5#(<{8ly>8ZZ`KB$q%W_(I%`z06@8XX1*6q
zH0;(w*IsY{@w(HC);O(RbZW<eD?;kky3+>v05Tp0b{O_j%tJK+5wBitcbs|e81$i{
zNxK{R)%aDk#si_6sCS#~suVl`mcD@5FQ?P88`x4C=^H?|6=3tnuiAmrt^3tuO%$n3
z&at*1I8`+#m6BRmJ>msk=y$NJYTXO$xdv8*b2%au!rd8dfXd)11srhTw;=fhPgcdL
zwxD;Y7j4BSAQHfw0;GYq!P4r`<m)^3QTY=@bTeudNDl7H2Q6rNVef`j|M9D#XtM3J
zs{o4w+6c=YKxPBJp(jbBdPJ5RhV5W>X6ES8qtorh(Dhr>erI8(?i`tcl)+3d+JZSK
zE0CiaI!#zY387&|;r*`d=e-(`o$SolQe^N=Oy&$hCiHz!bk7OrDH%6xHh{!fXwQKb
z)kC+pcQo1tGTE$3^_1*agEmNg@4jeLun1ddj#XW6!EM0*AiwJxK8pT^plO4m-PQ%Y
z4gjcA>2LP4+VE>Ohjv@dwLyiT;hDYx$`nG#eYo2O5|dz*LN5gTnH{(fq{pw}xjV68
zI0a2b(49-B+vGIoU<?t2i$KeDoDfReQiIip!&RqgdyT4HuXh}38SahNI;|r;a39eq
zGZCPZAYNXp?t#FERd$*o6^6|~2*f1>ONrYJocW-42N<!$+ZNoKLtjH_^YRDmy_omv
z^!*6FWY6S5^diUMPY{jaYdS#;WzrA(0{7*2^eXf__>)WBv1phdttd_M5OgqccZWP;
z=u+D6Qhi@E<ONM1Bo>|E?|>F`mF`&~Cm_H*RM;ni+QD8am{mUH&XdR20VbcrKWD-v
z^5hlx=N|kM;hzWKx)*v|9>H6H2;LM#?^qzW!eN8-SVnqkGCiD%o}5JwT_Jcd3&Dd0
z2p&E__tX*GF-X^|>8d{Mw9<h|H=0o8o;KP<%>&PXtqu*z-k^CC>6mn=Z&*4oAfPAB
zIlm!Qi6%WQ^-`uDOO!Y!sM1WQB+3U*)d|rxZb_HLzpRSJ!T8qvE}GU}w7%vyaA*y6
z00%sBHGh8`r0wqB0WcqJy94GFgf{@Y&j?BzoOr!nzNVV8-fPtw-8z^)e*rD#cpcpY
Kx2UXLr~e;{uA*rG

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.data_readers.base_data.doctree b/docs/0.10.5/doctrees/dataprofiler.data_readers.base_data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..814e8c1243de5c14e058896a5410d0a4058471ec
GIT binary patch
literal 38025
zcmdU23y>vOS>DGy_r1wxEtqU<43SwfGaCYdFf1V?kpK$|t_cEL%cbYup6%|vFK+kU
z-9aNnp#s`fV&!fK?*c6)Y9d;emX8vGXhbNik}4xUONAoQSfCbKkOKVv^Xk*5yU*>O
znNX8dZKiMcdHm-)|MQ&Ff4_6`($9>xvHz0&QQr@`7nj^ttJ`aN(I}Z|^_s(u*NsQ_
zj*i|vx@$C_%nsZOQExbCdZT0;N;LhT-5Pk^(V0=QkBY}ZJ6aO;rz5W!2fePU?oawt
z{`8sAyg!>v#zEZnv`5M8EpFsFx4E%9qCzM$aff%2I@ce)d&DR~Q<o=GeHVSlBmZDB
z+fc;%JCi9v<H=;A9dy0X$>EBd>~iCH5UdPijE%;!GiXIb_jI%EMiFk}da~<w_|;5n
z*iV0~xXp6|Z<Wdnlj+z!OOHnWet*v2<6r6T^p7NW9J@2}2GOzC{^XmlfARB=^#{E$
zI@ZEyaJ3q=y}>b17#-u3WgaY1sm8!_Td2RZ0u&l_XK4^&Xjh%sF<kMtC6ht7<z3Y9
z;!yfOjG_3?0$f+)-!=I69Q-><!vZpcfDL9ondrO0V3b_j>9vM!?<I~-S4sDy<hi``
zVwJ-F)X8|{4*hHWMGcdC#$vMSx$$t|HC6_0x9MkKVLv1+$5L4OYs-Wr2G>37^j0g4
z1u$+0jI+rsSjIg&aQnUnW%7bsd)?R#x{>3qpkcQeJB%ru)!u-$@3ebvi~4iBEhlo%
z<8p~}>EU%&PWkv&0QPduL?`{Lh*e7`mGFHTcx_AJD(4&cE^##><-BwpS>~LI04H=o
z@*>gzw}JJYc@BTjtunhuN6A739$k{Hj|!QUV-HE2fbwf<+#z+=HfT6JX+!~}pO{uF
zliVU3pAWkIVcZ~zZ}i>RUv^&CCne~%PlL10EU*DBJ1_69EjT^)BwBWE3!3p!#!vGg
zU_a}|?RI;yYv|8piUT8gPyS4~X$sTPuEtHt?8Q!dIqJKl&1d=p5Blr8HzFnr(aNe&
zZ13A5LafanNeO`3!-0aqB5f><ls}m~y9zr<467B+BK(eWgy)mp;E+YY$*4;95|M1y
z*l$l)(*E21pCY*LO5yf@n&|+HZkCPC9NLUzG)aDXBTM2h*+`rr5;=V{)J-{QzgR@t
zWsEdZr5!K!2JHZrN`wE#^~!(}0WN8(1HJL9?2W4?815vj4HLrsMhg<j-2E(|zf}%s
zvb{TU^@*iPeGte!!1(kKgNsP%54+8Hn3L-5%aR6MWqbXMt=E3O*FO=x9!|D9MpF;y
zP5BQ=U7hUBXeb5Xp1#*5o7cDq&qtd9;dmTQW@J61pRefslp8ZRliq5p*MZ#~B|G|S
za9MC8Uh6{}O)`Oj<41Sg!C5bchEm<Zimxqm=VX*zT|w4Ky{#?tHc!&rJPMS)jJf%=
z0%7}UH3g@Q@qEKFo-gF4ohE>q{#)6!!fPiCfYJ1KElumroCcNu^%N)n@eD$&105Xy
zKPwCz{vx^CV3;#m>cRutw{5c!SUPquYxw^#hmjBsqntKisTh9^VE!_|{G<dES`q#M
zv!8-dQ$C)cM{+RyM@E*yCHr^^=?tHXN?A@R71r>$y@Nu)WCwYHWlwbcHJRNB2Z9f^
zfY0bzcI2n*glWj@QfXr~>SHXcg(n$!h7PddydIX=oAIM^Y%wh!OU_Wgvk(pK5ET>s
zHa0$8jg&LT&)GXDW)9Io0dvrk66Tm7f3l1__`~ejKVY<FOjv#P;GK-;k4p?cqdOba
zmHA_Q!H+|?2p?BCU0R(pE(O$BB!JZ(CA-L7>aB!W&lqJKxMZr98S)?Zr;?e~VY|(I
z68~PZMJ@jb^?zbJ=y7RAp>3pZ+eBQdFTlviYTmzDX~e_i5h94-_HFsCoX)ojIXIk5
zi|46INN@Rb;g^iLPYqYHzo<zB(bMe!UZ306oPzKx)C{*HQv#_hkNu<3Pj=F=M8Vt)
z?g+qIFLG<0K^tg=e^1TKg^%KoEmBUVm~+vr>K|wZHhc_ir#4pkBD>L|cd_3Nnn65z
zFDr1t9dvQ2xg+5tR5|rF{ChJNT0+BpkR!=fjID?f8CMKfG=VUdmuLW3i3q<()4_N*
z`~qEa_Dz}d+LzZ~P^nc%F<CghgK@?r{b5UTRaaBC>?9N-y6~!Q5C?8Mc)RD2WNRx`
zYLSX9GDKdi)~M=LN-;gmF+Efl)9`Ytan*^PV5P!Q+{&H#$Z5J=XT@`(zSj&^1Fywa
z*gEdoinpuN8>k0OC+<11kKe-;rWw3Q4Q^A~O2_<cKIR`;@0cgEW1dZRVO;H2!-$gQ
zvJ#fU*>g>qrjJBbGlJdqdKr30(yP&Lsj;A;x$t<MfrQI^^e>`6+%A##s|K;sYpvxd
z#pB&8Flt_0KFC=begk%+ldqnti<^wl+?hwrbktc~bZ9M2@&GNafoW(xmRKH4gJs&2
zJuLL|-36@F2@BOg^<MX^)@725@`csP-Or-fsElGlhC=XjbM&6@JJ5^FEQC*zh9sLG
zp5Z9J34eg@;bez1pPFYjYxGE0W2sr@+yNKifE=XP>HBUJMEWpUEGUM?uCv3rU^Jh#
z#>P@cIOOCG7`f#|_1J+M@&cR50{m>?8m^(?u!H{<qD9eqsG!<@bR1HLlS$`a-+8aG
z{J~ntAbL2trW#i%=&Du_^y<BhGo^Fk8^)kZd~*lNpz$APMZ-JsN4kN6D^gK9MbWS`
z-x;>!pbvQ=+#@DR>_J9+g09f6Otm`L2#K*9MVl+o&P*g7k~uD3;ajwBv06SR=>8Ou
zT*)4nbAXhW-(=%1loxuWcVo&+cwVP^UltarM9tf3;+aVPnbAeLAkb6^nfWXuxxA<@
zGhu?lOnn%BW|7Q1g0kg^F_}?t<zyy@R*B3MlzZ{|*+;>dY@iXaze&}2*?M5iEYy^(
z8^n@=GvA_}8?sOGPTw2QP9oVRAyW)5K7)vl=Ck6X79)hJR=*WijP<??`gQIu=cjU(
zkV5orhDD(e(IdSZyAVy#;HBvBA6cp|+nH^yoN7&A_M?(DveQGg1O!(Vm_ul|933Vw
z3Ywh2<d7*5n1XUwS78kWTvDkxguv`+yb$~^n|S*qWDJb8$?$c=EOX&&Dzy4)UX+~5
zF+pW`121|#D;mBKf3g;CK75IGFPT2&VJo()++g)v0m|g(jkP#Y_`r8kCFKK$C$xTZ
z)^<X<pAanmLs1}p1FN788Hlgv!d29;NdpOvK$pm^g|2;iufuRbfQ;V!BVvPmU3>ig
z>EssDgALMy(3-fE$6`v3pQznlM;+V2KK~2r)Z{I5&8r_z$&cx+29Nokypdcc_gnSW
zNRRvPQ)Sqm1RI*vhT0v)28<CuX61l+|HJ-AGD}`^BLv&9;fGY+<bzvnPhLld?arT5
z=%`3!o@~yt>6SmFMkN@mU_&FfaTflbQL9|5=?<1{LxcLTujE12n3W)kZGtA}42LMR
zISU^ok_nqs?!x<UkFPX`4^x=<S^O_E|KXqGPPIKwEH2+0{sk2;;#nddE6rP+bJ*JB
z{bFv1E8$;aIFgZs&MiCeMw;;RC=SqN16ZFd0G%)Fvkm82rCZEpeX%bceigJN(^$}E
zY9#y`{bVO5wBOU+9zUG-UIMwn94MhUH>xyW8gy5C8_<`}tEDfgv+UuhTB>rdQkA?R
zLrYGmyJRBSkF0LoF@f1DjTG&=@q2=2z~Ps+oNnX;H`HR`sf!{7dC-8xbjpEddNd-7
z=rfF}8`hF(N7Ym%(VpErFFj@vF4&1J-X9emRI(Y%_73Xrax%-dULeYkUA)##rwxeI
zw3z3Cb)%FDOL&0#GB`8i%T7Bl<x8ts&T{QEYFLizI3+p!HiUTdt)Zcoq#@k0YJ%Co
zCxt#+w+)mHzy_*0PNA+~1H;EbLijGsbNKIc^=`WQ4|Vkft~TG^9VdHL)7~MFphcH8
zga`G^9raae?zW&A;q)?LwFE3FyYuqQ3a8%qtc1%^u}XR;E8`zqmyCZ%)!Nz+rs3Pz
zCG3aPkczgH?T$$bNBAH$V*~(~aPO&9d5i~y$`b@|A6pEmSijsXeePrrUteJx%4)+k
zds8t@_<3q{E__6^Etd?+y$&LbP7%DHYVcD8pHqZct0`As^;HC~rsi<IovVqgr_Z(A
zKcN+_<^Gwjn3iK#C0b4pOsCM-yBu;W%}fLDmvr2C{R;0!Y6T->FBpwmN#W0Vm*slz
z!&}aM){w&cPz1U~{T)(4NT%BQwcxiEhZPCGzEi4uI^R;YlBWZpsWRMc!iMl7b5Dso
zThE%AgygO>W=k;&r>Pmk4J`<eK+AsPg&Jcs_^_3p@w1guk~&M_H!zu-ucV7PRl28J
zookpC`ESAH<E+T#niZjU>Y($KF)4hem@K@WCUh>muJXJ}oAO^o8@DNoqVl+fbg_IS
zM+L*A_%h{&sy5|zbjoeYE9r{a6n0f+Q#ipJu_-?mM0DU~h*wMoI22QFnO)jPxY5hC
ztV*WSa=Y@;EoWB@!pB(_cFy)T*xMze;`(jNN@cFrZOdC!t>ozeYHD5f=Ana5H|{Fo
zXBOsdYP3c6*Y13$NQHfB#;`CGE4^M@hCx%y4*Qwy{T<fc%j`)}zo`ZZ--t#x-=385
zr?e<rpI4YoIV}($XH%}bjb1(M;Prl|+3VmSSFjS`K-`*hA;3w&pHOP>_0l_*6J5We
zVu|oWMBH5Xfy!JVt<jsQ2De7{sR34sa3mhEMv8}1UaD%1K7~%XHTrG3V%CUVm02TB
z@P@1rdk5O<Hhb*N`5%xq%5?g4vPK5s)vb|HasAfl3xYAn$L+c`dPLRQg4W2uhJmVC
zBjYikBWskstAw9fqrX$5t#6G|q{6RIGln%<SG@C>m7X&DR76RtQ^JSQ=u>H*vH)*g
z`;?_qE>H=?$JwVVM9f2tI8qC$sHfzqVzzK%idmW+^rtkw*5_ARnm=W%#Z2k<6{(dh
z&F4gMSQ^EjDOXgrG|vFV+|oRgu9&4^S7nxl6TA^ia{}*&H&)!Z={L@LUA&nV_XhJv
zYsNpwWZ?H&h<<La75x-+U2b)LWy{4th2)R3J$<#tR#1JOPeg?Gla_IIoKDBy<lHW&
z<@B9hBttpfM;;wFT594ApQTmGBC$k))hp;~!Fdhd6hWdCI#I{}&$mkT6IYiPbS(Y5
z!e>gbm==G5RjTYU#dWG~@^qTcPpBpR{l)}w+|oDf3!l$x@1E~U8<3dmx3W;5P;eC)
zOuzVD-`i0sdu*Wmwdyz7J1E{Q7abJ5R!vWIg{zHwC%BmpxZt<}J<E=~XS7tVgR34<
zqduw~H#o-tG<vjQoz?TYU6H;XQZa<L7ByS2*N<1L!&FYfTL=lJROEZj1956sOB(aC
z&CwD0shL#`8x!=w&7L5wr)tx5AH!2mA5eZg=0Q8P#e6P0$b&M;^soWQAKAOmCb}ZW
zie5G!j4#<KtqI1Q#T*$B{e!*Z`Vd+BUMFxn7S!fGU1rtNH|!&*3Ec!4Yomwn+Iy&v
z5$|N3U?8iFc(*2>-)1_i>kWNrg(A%yWJUX`4Rn#0TI0n6=F2SDd#HeRvJ>Z9v$>Xd
zN9#n~3dqfNa;=zG1LUN=hYEm%FF_Mb#mU@L8^XiFfv%la8yaIRb~qwAEH=bx<?y*E
zwfVvRm9`Lpr5MCvbm17VSane-jd5Z1q1(OKVGgLHVm%dA7e7?`FZ@}8doFyZ9d(UE
zWKg|8)bZupyF}%Rn~8E<YP1M+Q}nf<dWr|2MaNU#k1lygeLr2XkeXeUh18tfjfB*%
zz(x&rX`6oSIGVpgtfJ`~YDLqs*YXhh16wYHPH7$&H@{K|g{+g$7K;5_Eiow1l7ZZz
zl+o!73#HYb)x4jc>f6Im=b$UwpS`K1fLV>-sVoB0|EITE9#XZEEk6(GGVhE;TRH;i
zjVve+tKk*Js`h1p6q@ie)C}W=H0WM55?d@gwuxqh&TCok4i!}wrP2g=xfB-FQd>M~
z9d=2G{$*6E8lr#A-a)aI6CD(U==7v4L<g#Tmh-+sK^BZBjg|}tP%{J-1D+ah1pFTZ
z(CD!^MCVXstwvdh{#UG7jdgxVynd{mn_|i&$35!RbNj34SIuP6uQY;ZqEc0ES+I9d
z%q^mW0&bxvCET(vt6l{ndCp1SddcdGTa2a+DC)CM+EF#v`=%VM<?9D`+KDZORdkSt
zq$rDE)80dUIPzHp^Xb*dL!<mKc__-`zVmiMZBQ6OSS+uc8I7Xa@TEzmB{eRu<IB>L
zT9J(jFTpicYrEQsmV!AeIN$O?I}{qx6*VBIpc?z$ht6$ow7^LQGDX8rfeSwg&A0i1
z%)y+`CZm_F?E<l&>NkXa8y8glsMxE-p&8E!RvqT~FF31i8~NpWNV_(;5Ja8|v#J(X
z+A@5Y*laHRbY*Unf!D9o2zcQ2$D*>0V^B@L86d}wz)Lw~DYsM$y#5AV^1$m+x?+JB
zyDAI3IJp}MylxtJl+&zs*rful=hq6jcyFcQ7Wac~=j~4``4EKXJXK|6;hU9w|3DQ<
z!yJ`QL*Mp8QcnVhdw7Q_$0z%#_>6@%-?TEB-HU%h)lJ^N<pNDPcq6p9W#fno&nMjj
ztd?Yd!;#1IY}Pk39H?UJx)YVE`jS`JJ1DmFqJsiolAe_Kk_D%C=4-sEeXY^5fkb^f
zT-TL+P7c*_SMnx1vBjv04)ShEL0tA4dk6K=s1cXtfhcz*8+JNvKx9o(Ns!Gs(I~2o
zUUwwF57h;+NM(2<ney+l53E=)*HEddVE%%=gJR@F2L*yjPf7%{W~Tg)8!c^E5Ly4#
z{Nax<0F54PSg(^aHhW3nb9T&%NAMXoSbgui{EWw6+dC-c7STZgx6qRkZrSLPz+*<!
z#$;-;TQQ!htH-~ZgSA|bKWQhn7*^3iUXK?o3C!-wBE4Za>MRN5p(xknSK0}+L174?
zjoXc)8aL!M`S`N5B#=6+;rGaQCEw6k5>TFWfjd&Pp?tF)3XSM87T(zY>2dULi}8$A
zfg%J_?82`DmCauj*l$EVa!o)?0t>z$7qLWP@U4Hq;pizA#<29}6ugOy?(97l*Xeo}
za_QV_)KIZexJvUn7q%)-uZY37awNoncEyO`d!&gAPTk=Lk%P0q_%?>)w%d+(5hqoU
zmUS0Fd`v8gvuyJNuiwTu@FFLO`O8C;XPyOB40u^qEq^=}O{dc|<kJ+@ou+U=HF(PX
z6p`?GxvZ7*<Fjh&$>haufPPC6%i`^O>QE~4%fE{%;qwtpXPtn&7o^t=Utd7GHRtuF
zq>s-g=w0WY+9xW5qNk*7pjJLh{6}#Yyj_$fo*rd98N)1RvtF|(NX%zJ)b;yDW97!0
zmf1vp>)&O>l^4}*M6I0ge}IO|v0-ce3Yc8F-W)C^>3R#wJ%u^p&E8ToMaz-;jviON
zNFO-{U784yviE*g^y!fk{+pmxXWMf2Ddzy0&iV;9?n3FHM|wA=1C*5xGx@s^6!Ugg
z`AzQ5c2PbOO=fnWlFh@>WhVS022nM|^)wnTM~umgf-5I8IkZY-rl8yg(zz=*H<%ON
zq-wluJ<b@%K4CRv>j$0_{-u>!ubd^M5WSdjWT6nzqv}F5HYfZkqd7bN!pOXikyl=H
z-2!t58ZJkN35<d!Conl=N(82$T%{!Msc2Lx4&UDFX}l1;a163J17mGc=7hggL9|5H
za&iRC6Oo1`lsVz=W<|$)uPO(;JjlX#HzVVi`u(*yQRIZbM3u()ty&bq<7+{O5p1Vv
z;UB0&2}=wAs}-hA08A9u0@yyoA}zd(Fyy=9_DUkLj*N&Efcdkq+}v5t!hR7<z_(<-
zjDhhjS$0*jB`bC?*PEv8rnc8Ti+mF6&R$S&JC^shf$i9IVL~>w{(JyWRAx)LdPQeM
zA5*oq;KG3fg>9jxCq$>@eVze8{!|K>#ko(afz>}9nt~F3hnivir^k2GHw$4x*juxP
zuA1GGHNxeluy`ucUQ<C0{|%Hpl}lp+RElLN^ZeG^P?xjL&zF2n%<tIsy64H$GFT?!
zP0*LJXwit4mhjm{=Yk(JeFy7L{PT2b<!Bu>6%U5j5D(0SS65~Q0v_2lw><EU7!iQa
zuU2iExxcXvZgQFG2C8&KNKeT!m1gd*C}anDT&3ixn&G6R04Duab%<vk!Yfe27GsiQ
zCp-iiWJM3*`U<TI4?)gqEe}D;pu#-wA;>QTThh5kppyFtF<r4^TkOi}Bcz(KU^PaZ
zD)ZR~n)ye8@}%+aw@tElF^b;fp|4eOy6#qVu`81<e@`B@dH;Aay8`vHNLmKXizOp|
zlc}DO>putUNJr1G?TB6Yp7c&0x%mrN7~WxHhh!@14F^qp;%|Y}#`a`ib2u2_)6)%c
z|75a9-f1J}*63t115HN@>d`1U*y=ThanO#C%z=Hex;09s-r%-}p7u@3{U?)I^~x6N
z)A<B1irr2hKX&tO@cq#4IsDuuehvq1{MsA$n#k|bJV#H_-6ZH5;PdmBt@e6xw-<Zb
z!xP(+y%E0C-5qus7b(@`2zU13=vmNjAWv8aRU<Sx$M1M;kKJj|W=n%j97slwqC(q^
zuz!FXd$38+8{qq<-g&P*I<X_!<-2Y5b22%I?FC>JyYVoRg(j29mbWrIi|YI6OVPlJ
z(ldH)2X|)U0rnhdP^0%G`}h$qnI#7AVh-cg#Tysd$H%YCK5Te{L2uCTkwK&F;gdB}
zL~0X>0rvNXaeo*$(pDx}E2HFy@x*8%{1mt`*~i<>*S<3Qz^I%YpfN-M$`|`6qhxQ}
z?VcUFXFVX^@<z!HuRBUEA9zUj(Q353zSnJ`n}7j3g-@KX;v4HgBxp7I_;hM;5&mzo
z&mG3SMtUpR5rC=owuYU4LoptJWjBx*!5egOS{2RgXLo>ZH=^lJZ}lT@*y=Sdc8H}8
z;0uer$ZO~|8J9HU#`z!$kU@spYP5pLU1`%m1eMcLApC`74+cYfO2|Fe>!SExQLI5Z
zf1=TuQF5525W@E~k)R%BFgMg%3sb&(;9gKa!J-FAs=zrEZ9ob-K|Ff(wtxB7WU{aC
z^&9l*aY!RJsnE?Hx<i_vLE@1(ejN9s<zvS#T)42*Uqcp~?ow}X_E^h1e+(s~W258>
zs=-J>jRwBKiw&<B6ElPRi`QKD0wB9@u-Y`bp*v|eSITZ;Bu$K#0xw==-S}~*jV@+m
zcLh?^iv7`vndAs~vV-i_LOd1uji?W<$0ySdL~GsHz1Z-Bvwj=@z`ql1`ciMQC+fHm
zw6_f**Aalaoc-oM8|_}x70@1O`uGTP6BEzn4O7V=MD26KKDyWkr4$D-CXefZ_kw$R
zP5Kr~su(UKRe?`RXUiS%IxAiavbu)8e9xoLy<gFUFL$otb=;uca9gc`$27xxlAT`n
z{0O!nnc*q|G70v=2Y~`GeB9t~5Hn^th>pN6F*GGup@okGkM4pJ%iN_eJ+s?rZB_li
zLD$uw#qLkjO@1BzJXw)@@V_XTrQ7sPA}YiloQ(Wu-G$Fh(sS68<M>GPlz5#v&ANfW
zhC&|oO{L>39?;iclF1<I^uV#?F#Hd-btJiGiyVzbHgMVi#^{hC3p-?I{8jcvE%wzd
z_BD}^K6MgOlKqep@v}_MA?2NBIXFYg)5)@(g_IGEy$a3pmaumT*y|ST`~W*;!NMgL
z-42l=PUCDgEqj{*bU)22ri$Mo1t!b!`Pc98a!?VFgw9H@t%QXYJ!ITerDroO&dOd{
zrOPty!xjx<GJaQ>ZHXt_l3h@*&EAld=P23T?BNUEkeD96rkG6MD(>G4etP%l6cj|?
u9YE!PJtJs#-l5X6ncKV7Z6*u5gKo1uY(cs8&XP{t)gnV6bS9s<rT+)Sbic;{

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.data_readers.csv_data.doctree b/docs/0.10.5/doctrees/dataprofiler.data_readers.csv_data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..cf291ca8781456b3e41547d60052102ae0880d87
GIT binary patch
literal 59710
zcmdsg3y>XGd8QsSBh5$}JuJyKBbmmI%2)Pi<Oe2rY}v+A3`QWcGPVgub=7lk&vYN%
zS8n%}G>!#IybktOQ%lfwh;4AfnpENiOk8aCL9!4h*$`?sBxEZg6kB-X4J6(o3)upe
zePq4=|DQ*nex2KWXN<4cRUY;2?sLw6zVpA%fBrt_{P<(nzqE$_3%B|m*K3`fv+MO%
zyYBe?aAUn)>ouKL(7({%|8xCw{Yp65wa@tNUbp7-!!__m&Gj1fuG8wD=!etzdf+wu
zIZ=Lt@6-aX-BQKfad*PqaH3yvC&Tf;3mT60DBO7X?t85xc3}7M9e8Ez-OgETTYK_w
zpXh*!E(#|)Hnbe{-R<FIRgvnh4<`hL$HK9O*K+#DdJA?qWd}jmTj&MQGwjKFukIt&
z8)^;P_u(d7kGJe5zuH*ub)p{&cI{NxS;TjG;fBCo!bg2~t2^UvcK5jJ-M!)62k-Hn
zu7B{I_r3SJ8?Qgu>9(1FunwJpt3|KjbPocB{y|Pz?7<wqRqZ-<9m>zu{L@vuG1v8>
zXO|sa*IRJcgyUYT?wr-Y;yAjmhn~1^0I;rr|M$WFSHl1Mu~z_0*Q35v!m*C+b^GB}
z&33)laBi}6va(z6hx_@<2MWCFP8<vRcF(=qJ)i;d@IXKo9XsfCo$5l@Zq?ivCiFvM
za!_H?S)NA}p=YfntG!sHBLLxAfN(OL1a7gHx^~CaU<_|K+-?Q7*YYi511oUt!1C?W
zj&Iqmy47ggb>H$kI6A)TH~}>|#~F0@u%#m=J`8}pg>%p`_cG+u+#yALZv{phAzbBX
z1HN-yKS%-3?M0k1Cwv%4Pyztt-S-{=uD2?D7`#@2vE2_WJ(xY`MAiLFHsz>;gpGm5
zt7)7e71bJ0Yw)D%dm!}4uG%}{&x^V%UaQj!swn5xjvcu3)?FP`e0Jl0VAd1XA?sMX
z<;+r_v}YY)F&jj_-F4;`yP#6$5Q97LDk{^antZL;5w8}==lh8jE6{<hM5f(pwF5h$
zbi)abs$^UFGvdPu7|KR5J`5+%HXHMP$3_#d5hMfD-f5?g?8%^(MWGKrG!o(;4L%AN
zptPBz1SSqOxHN0-cz8ttPLlW)dN&U42lBzKgqwi54giuwQ@905qyeMfj;`0;2i%`U
zq|Zf2yAP7$fWA#q-;y2Mp!gq+>h4hejuZHcCIUAift<RH*hoHM|1^uR9Yh%F-=-5d
z-G&FIO@n^<Rg)eiJY2>Vg*tWn3Q?zOqR~TbQB4lS)<i{;n^O1V1M}JZfeF{P`nJv<
z$Qqx45qO4peJ8<=q;z_%TF^_Wg|+jN2Dpm1`n#r9JLy)xAX?oWuC)?XJ)>9UJ}V7H
zxFx0|6@Z&NPOA=Pp?VfPE^Q!$$Fn=!D9a_<`MTatz8wV@)>*8#n_%?&;kwQ;_)2gi
zSnhy28z-^r(<_19U2+0YajH3RA(rR4ThtFPAFMA>Juc7lDv#mNd<{VQk1#Y}R2Zzi
zUyZ>1iSB&Y(4Bvu8g;}UtNu$_wSsFsSfE7J|6r(EcOo^U+`oxna$kx8L=EWJxPMom
z<DiSUK3aPsP958}cFh_Cfw_Hm;!elsQy59f$l_5FnC(hn+8w8B2koxLf8p9gisVBH
zlCLt79IkDr1cp_x2$$3xdM3jOuSN40O;?VgBO&SFKVpK*ZZ(qv>S@vLHG=ACyU}yv
zWQ7;`y-ugy4XS?A?gl^8YvWw$QQ%y5NKu<WSz{Mzn|>X-^)%r58<G{n>rhrS2d04E
zLtU(B+F}grP#vcq@s9trvEyzgJFt78P+TB$RU%t5H;~DfvVrsv(-WP|wZ86?D(8L^
zQUap1#77z{j?g)C2ehHob)-S^qlN~GKU+>AovZrThs}g$BP|+8!!ct3F(JoKnHw&T
zkg@GyK+9K~&zWgAftHYIqp0L?a&Lj{2LhDH8<gdjjfAor;BiuQ3vD?-nt+B|bQ%Wg
z%5Rt{d3%zQfeKO(n7~tGn|vL4S=%_zOX<T6;(e(S)$h2>f8W@}9Ig00C{$D{u3J~$
zS~Jl=1~1{09IZI5v?5J_ORK+2%#>=Q^a`lIozQq3(tP!IwVBXtNfr&H)!!JRmC$oH
znp-Fj1#e`qLQBJtuh8CMCej2$LIATBnwbepD73nfP@_T{NJBY=cG^tI5DJYGn7~ux
zkAy-S{Ng9TI}|Y@5xLOHoUk#F4Y7HcwD!X(j5@Rz7%U?6V^NTBqRcGJeaW2&H!k)X
z4Vsa=7jP<8clToRN7n*5HYywtP8l7lK}c9%^pHW#ihG-~Zy&tfhBbqEi%;+7Pv*}C
zVfxjB$#>VOSDW5hh&0dLP2uFbF`Rq^oZ5Hd-IKEgs#<_H`QiY!j%7~@EeK&9K~N;=
z(Jgm|eImgb(L^!4bJhC5ZP8@7q2WQ8$8Kn|C-!M1fY11DTPavkA7Pd|!+tZ-xA@#2
zmOm(xz~}lfBR{}r<S~xIInJ|K%?$hJ@Q*1DA5KvGpjI#hpv|G#Z$s75G+IR)HbI5X
z*-pc&c|reCdf|-SZNa4$a9~eh;V7WsUWiS?SB@zUQ0xsyE^v!7O8g5Vx;tDqtHqb-
zmzle77|h*yV#PiSkV}bYUxy!pfoJm>I9*qQS-*kR(2`-+f=`8g9*3F2QiECbYw&I%
zR%KtpT6I?Z7T!n)zH(WS{V^0E9%NsEEB6BX6Re>e5`x9pSFr}ty<%K76OdTQ#3Hcj
zr5AY$OLL7K>EkzZrAljbs2JsPUYi#4)LLHtQr_?tD2JQ9jFio=e-H$^d$Wc(8L!1P
zz0s7pOrU@A&XyN=cEfwXp|yGe^kTb9i>0_Qi_+mcfsZS+7+1Am1wt*E4qZNid3rs;
zycz$=m81-q*(NM;+0pedMwxwk^03{q793y_r{*nsPTg8qwmOg<fW3kx$)?k6cbBPu
z7WDVDXIr*~i+=D@;Lc6)35st)@DSIOu~g8;-djz3*|HmcJ6?N_Di#wts}6oTR0NA8
zb5rkXL!%2&v8Zxhg{7VtT^b`z7mhNOF#4|>mUYJCtTP#I5w1>kq0z3L(j1=fn{r$a
z(a2V&EcmbPG`uD{M~6r<<}L6J`2&!dDhN^24zx$JR?TgDHFPv-y@3{qFQ2t8?>ew(
zT=y@hviwKYx0{`Y<5z+Esu(tw^?0qos<c~;WebH=72Qu|eWwBLHTb5rcB9v9`LYnM
z(N%yr{+3J0De{@!TAt$T&R~!KfA6MJJLGC!4UA*5xMDiQ_9KJsl?rDv&Na$vy=MlZ
z9f~F9Bkr(zJ}4j19d%Gd9oOkXUW#Ku8VqP5NHidwGlgnau*^Ib=vs0xaiD>bP-UHQ
zy_$<Pbsd<4@T`id8mKv92+(z)qa$^P+S;F=I(hOW)lTeY9k425(O|#Ghe2Y5lDBL~
zlmV?pi416XDSKf`@F#HmfkYWB&~2aL#sSj1ELw>0XQ_wqyNk7ng<>_ixiEqtY1(ci
z$pfCdF`?!l3u+Ujqk&xk?(p<%mvG%lK9xid8!qEqe<V>)G{M3wy6a#SDdDw+<1nT1
z>V15CEvAOB+p!8x5xMcdFd`hLIvS1&MH%BZ*gY1W&GxvWf#D{zRHdan%{Yn0VWo(|
z<H9VYjL7Ang1}rg!Jhb*+dc!HOlz47FeG1EwRUp>9@RnB1nnu?;`v+_ty+r7(!DR9
z|5%QNdhz_nhp%3Z99!bN<>Yc{l0D_5LZEgrptb;oO^O|P_#|&fx{gY}V`fnV<*%Xk
zl$uzY)p<aQ>?=5c=oZT7)?&Ba<f^X~cmSwSt5e+K&V%x-QQ8Li(x7(vebnrzgwgk$
zqQR}Xc6Z*QOYj*$fr3%*ax)^{l`6DOrMPNkhoMVyhHKUV=W@|SA%CM;2VAe~fMtRj
z6wTAG1)LO{y*9`NRz`gFc~N2QacNR}Ou-zeQ3q!-maoN?2c>Y+^ORn}N1|vl2WskF
z(zg3NShzdXZz-_J+4{9aM<TP6A<*n;e0zrdD*nS`yCBdJB@6BPa*9$khzk%Hc7ps)
zPGa|~;IlW=#UrV|C6U}^k@IXFI6zZFbiky%3Jrjn#h^FABUc$6n8i6Q=M&(2w_8hE
zlVK`POeomY{Wyw$R2an&qd&qKto0vBg?vy4{vk*C_uwBMj<YHWX8|AS>=#9vh1FRT
zZj+sKnjP2nJzwu8r4xy+(RI8#|2a{;nJK=>$^8bAoBygF8sovYj6fKrh{bcC*o#mx
z`wRG!i54b&F$LAy{ezI&9gbTsp1+_4I7tpti0%&eVZdQ9S1IU<77+C6<2Ois%&;#G
zKo|Mu-@-dk`RD0X_67JynjOIvktiKU8)#LUkfr3ogq9}C{(clCdcX~+5Fd0qNU|uV
z4`$I1V5*A75~euOTuE5FFKNv}!Z$P{l@R}-;3C*B9g8z^KKtZzfRvYAP*;w;;3FOH
zq`a^fbgHN0ut@rox8psTOEi(+6C5fbGglMI`LF6S!+roXlKM!jV`Rz9HBfOrVk9#P
zu9VEA(8`gSjQ4IFo_!RY;R-4N_D@nZShjWy7=@Cub%P8_RWRB}LM89SgO+lNPtunq
zJ}TctsA~0FVMRi;SeW(lSwafY0%3tO)RfV|N5zF`3_CAHhyRFE{j-Vc@})o%n6pG)
z{;NX^%sHqy9~}}H1x-p|Qpn^8OvZax6k!boTv+IJ5Q1b&gN2|v0NIof7^`Ie8k7~#
z@muiEpef(y_^aqt_7=>wKE+>sl3r!M0{_G<T!np7yBBUaP60XP2CLr+P?DeLOL3y`
zfxm!-ln>1Qh1PD$+M1H&Lh*2h{aG0@V8L#N{Yil_6X+tjrO-7G#N*IiARwBii*LM!
z`b5pWKfDd?MwJ$_DtIYB=*<3dQhsq{sn1Q}GqpDsFUM=;c2obZGTon(3I1{&c_Z8|
zzWLEBgWQXX`(gFUr0SJagxZ}r4{jWfE7!P+tGFL?KORe_kU2r{Ef5=1Wy6n-)E8ko
zH1uuQDFuz1fmG1e%qQLPi&d8dW2JNMGUhF>Pn3#-sIOM)cEXT+O>LMnL_jZ+bwG+u
z0wxCxzTeXZjO|8}6WEMj39ArSN|xCOUpDd^agKR&;m!_fIudpEGN=ijAIAEy!p<Ip
zKQX>zkHeipALc+x*ah|^zMUZ{h#I7ajWWMdO3YdTGGr=#9J(UeS7`XWFT>GRehglR
zp_UauAX5!>gg3@mDtt0LsdQN~4^MnY#qI}M!VQqCM~aKR4}a2^g4*v5tv3IP9lt1X
ztK_Z;H7yb)hWm;bRP-G(o+{(5uw+$SQ-eZB=XV(t^-aZ#%_ZB6e_*WX>+q@3(tK&c
zNyrWM<PvF5(nZOvM7ncQf@w(|q1}lqi3f&K5~o$E*9feU$=#NT9@v=lgE&%;sy=5W
z6qyZhgco}Rt4Zkd$#+0>lRi?H<F#qtitfef_^6Q%-G=FEJ&S@!&9Dwsy6S2@pJAnT
zAAOl5CGQK!vz7d9Qt5}6@aaUfuq4)-RNhto3u=tn=diIE_FUm%MldluuZtykLf^BB
z;Cv59vq7?dP>EvCh&ePH1Un6IEgd&O>?E|u{s{lr_~*;`XF*-n;3~u12!e6pZrEAD
zt#UoBJFKlKH7SsJL-|H#)ZFWc;z8CW^1-4q!<&`=0z<Bcg7Vo=S5hyiQX}X0MW7In
zkv)O^9z-^o)ZN-0CDjy0`0uKF<t<1A4f}hnCSgG`KH~?IwpIJw7nZV;-*~T?SlJ*&
zltjvceI2M<bxV@LoYI7hu*8w=_)lWc2icD8!geTjQbr@=iQ+4^2geX{DGLv!v=-kW
zE+P^y7KI1J;lzwZ_6V$nV#SC7idu_np;2xvuEQ&`7Ic+oEjYm|vKA^y<HunwRAa9h
zYoSqG*ji|1hPM{)D9pXOwRoE<HEPyE10`uKv`2s!=;+Dlj*@D!7Wb>}mA4iVH0-@t
z&1zT+&qz<+yd#T}NLjGkq0(2*T13!}sI`a)6ps5(36P6g3sphNT4+xcU$KX=`Wg06
z;h~h);s}=DbBpte#C)d?ipltv>=9TC#flLF6txylK%?ARJc(CiE$AxGT5y6_Vl8eK
zS$;zXv92u<#NsXG+ll^Yg{~yIgN($q3|Pqm!&`{o5==MvYcAbFJf}*9qYPm*nV8U!
z0^1;eDgh?L@CT|_<qboG2>X4kCSe#Zy-V(xcuxy<PQ;MZEM^s-P#XlyXj6*RJ8?Sy
z%t&XR!N{U8(iiMgQ0b~0j3lE<YcZ-!Ltgu{0^UKUVp>crIBO|8k-V+Oj{P^Rc!qta
z@bF0^@fj?^jl@fexI#uk_63ZDV#{dIiyDdb8>EpK!z(fpbd_f$IKeA161Vg3y{awx
znr28-@slM?h2CDi!FXb{3`U&jL1ts8G#l|^!yAvwfE&sOqh6;<g`*E=WI{HlPy<5}
zzo|r>%*g@O&+_IZ!iddcH3@SPMWxV&$oQBZm7@D`dTuh(lV>)vD2X%(+X<Dfy4lEP
zRB1d$n`wC9M?gKugzS{-8uW21S9Z#fWIt46%I?EPX4pN2hgF)B-B^N~ljDleLgwUR
z)mFro5i=AuCk?2D&pDcSMdpOA^2`Y*cqQiKu;*97=Mr1h3>&3-a|wGAYcSuSJULnh
zB|-Hdi?T~vltj7VP09xqhh-_vJSFvzDiyv40F7+QmNaf)R1$ZU#FJI|CDqj|fXu7q
z5lrkctR`Vq#unP`hBPJ<^A`P#xBf|E>w||UYBy3F>>O0O>NX^YHKh?5aW)|<a$bNv
z$ckKZM1I7IU#!BnGv0y+-ykhpXFT|f=5D3--X+fJP!^_qLB$R1cagXm_JzU>A+65`
zumrb0zpXl0$ofb;U^1iFH)5lr*5}WmQEq+y0<XyW&{dxG;RLV5`pl!<7}n^-P7X0=
z<<ir9Tl108vNZ?_oB@Nt8j`a%OB2IiAKtQjPcU1#NY{5%sc>}Riww%Z&%Rz({V8ug
zA}rYd#cFWqBKc$AhI^~7#^b{;w6|!Ul;lgILxYs$X1NRuT&EOZ{AQ%wUbm5y+a>r<
zsXdtfmT)1$c8S6T7k_0xK)GdrTU5Cnghsh?y9TdFxzSaga^nQAM7g~M1yk(QGOUh!
z6V?GKP;``30Ualr%U5-ekDjViG!N2v7wH;Ll^S00y}d9O>mmL-RH<;}!Ho3ZCXE@T
zCmXw`WSpGopH`hLuMH!B*n6;=gfkt5XedEQe$B2$`RRU~o+TqadG2)<C7NEo4JuuA
zy`0IU(zzaKh9TvASO7i9YFwmQ4YBW(G9H=F)OfOou!$M=bA^XgI>@(U3GN`jUy)hJ
zL6*G&8=_b;VuYeL<d>mQZbKf&E3zSUm1jdZ!7H&Lhv{rFr&Vj?**L>mkuu?#ScCa?
zWW=V4391KK5;X@-lpEfbd`>WAIVbwFs??~3XA-~=ppiA%l6VZbVR$BfS4lisl;2Zb
zEpJgGnAr1J&1zVbKQ+>mXHl{!i4+NY1}a^3i;}~v(x!~KB$8G6v;cdMRoNx13Nn%<
zwVtvoIZqXzvF~6rGwi<>9$INxK7}Q?W%(OLY9Y%adj^(8v1Y^&MJ>zPNoiTu;T2gH
zy2`UGoZyvMmOJ5;v+9B!)ZFTl)8fZoRrZ&%FmS4$+pfdsbGMY3rDQalZ)Ki-Rc9;d
zO}*zbsUKu*+H&5KQM$s1z=wU6=P~aE_U5?7daE3e`+35P;UuG3`fBUMtT<^DH<jYc
zp87}M7iBaoCjptylt_{4-UB?DKifA))-O?I!`IMY{xkJ~)z-xLaM+?V&N83t2bfJo
z6-dbSTXCeXS7>D!$(&<*4niRa6>6sos$HX#=R2~um>bAGTtzgHacmDh(K$mq%xpa{
zGw*Q5ck=iw-t+qsHRUVcqTk758^ykpzncI|w3vN(42L4F;In)MI1G<nomFkd87goz
z3X8;qU4=-HN|6VXbj6k-+IfJtu8xXG56z^iI59v!zuE(&wNz}F-cNYye4c-n(qm?7
zv-w;!kOpO()Nlfjr_D`h16`0~MJuZh#=kUES`rN7*>-WE{sVKv<smY*JtS~=vWN&m
z#SR%E)Au!V4@yEehF@4G*yvm47RqD98yOM|IF(gkkvgCCM`l8eP(-%Li1x%(+?*s-
zvayM@)Mg!%y3^c30kp&Qu-!%cs9@gEkcb-rshG)K1wh_pZlM4m><XxYRGd6Ic|~{_
zIPgw0ttK=ET5R?pvUj#2jta9K@YbqN@MjG31KdFwx1|wo0bf89k~nBKz4NV3V3GT2
zsVSbCOlLn-`kOHXdxp7Y%r*XybLpK(9iK}(qHw{LzFneUs<*LaRBbLj!DpUXTLOFl
zn&dIs^LRxwX}ZdrNpo^nGLyc^Yb~}*O`O%fIxu%Glf{4y<xZCQjG<7*0I!FFol#70
zOx=Z09{-`Zfo$R9MpiIS10PdmM=e``_j+(dF?&<6-%$M$@TbjCbXsy8&fiQFO&B{(
zvI_c-QA5Q{5z-!?H|G1(zi%csTlI<t(vW2AllE0}1Le^uu}@kWh<q>Tug!FtfQZZp
zs<NzEBW}bNNecUQY%9T;VrxboaNhv?u+cW+anAaYnMMsueO)`N;fQ4RVW@P~EuTta
zAt{s*?Gei-5*mU`??(i**`~L^=4-M7uyJa5Ba}58m$&&E-}z={lQeUC@QTbFUFDcL
zp`C`^_2vkq<HFf7HMeAhm~YRm;>6dNh!e{eS77hnCjBZ|SA`a+a1V7lfos+hJKbuz
z2Y71o2_aS#i&d$=6*t=MY%_I?_e;$l<2U0Xc>|1+9w^IK_PR)3t4f8x^r}X}Ve?0R
z0BsUck){}V5gR4eavmAoh$C`D^(`yZY4#=}T-af(hIC{Uvz;q9%tUF$jbggf@$%yN
zvnnP$sh-PDYIowje6O*WIRV{!p-|i~=Ld9Ma|7A-NHmZU(8VV@pXvc!NXy~<Eo9K&
zpQtIH;|sbsB@Frl1Yn}Y?0_zZBCdh6Ofv>_k5jc8qg-azA1TIBo28pKPyd7&y6ld8
zoD&yCS|Ii>Lpk$_nA2y?4P-NoXdr`W@JSBSOsmhkNwEq<(hL;&u5tPKcZsSKW2(6_
z1-U3{sF;)dd<xclC;2bU#Ad@P8c0JjhKMBw?%U=T%EQ4M85W9sH~D{>2{l2HkVPZ6
z=P)C9XZzuZMWwLU9#W!kD1qqq&2iq1GZ?!8s<Cx_06r?Kz)esGW`O`2ZqaFoIqv*N
zoYk)|Q}XsCCE-PWuhVIFgR0-Oy8-RK;`edaLv~0fFoCDWBhuA~blc!}aj`1P{IYWp
zyitH_A53L1cE;yZw;MaJ4?saV=M)rU>|3C5Q;167BtwK*-H(7{v%vbRK2h41a=heZ
zX>=V!nlQ}?MUXjRs%You9X{+jwNsY22<Oyw{lL2Rnrp710|n{G&?WD*)1njXEI2s|
z4-fU~>fBT~+KvuBRk6)gsY^*G^N=}b*ivC0#j(Njy+?d(>Y_t1HczC^il_`e%R)cG
zO}HBREd?M&4<9Upo;=lU84K+dPX194(u_kb*uTl3-FVW}b;^G?9M=X1Ou;d^&RHAJ
zz^rq}g~d*i(wu(Ld+koV^B*nTdHui_8%nXS;HK>tP^*hG*e<|bm>pythl7t|j#xtZ
z#?O=@hgwih*KwLZov18s8FiJ6#EH|Ro+0A$U)8mDsT0?pg^KgBq2mq|FsZ|EQn=(C
zhLiE$>r*GLB^X1277lzBbV#y=$ZjNKf?S8pun!MF6u}p#tbK@HHJ`F}vzW5LdWAd*
zO6~s%heg|Ph#GCk<nz<Z)w4sF&tA?C|E|QPpx~V5TR@x6n)xh}Kgv=9{)+mUDFOIM
zZ^nG8+Q0*${#T;9e5y4W_#Z@G{;RqSu;=0Bq9>^RA9yz(9g+bBO-cq*$mGaC#(Q&$
z3yd5B$NJ8~|Jref;Z?;-a^9L@$+ibe$2SLHoste?mGX$Fe^Q`UaflIGDE(v43^8Wn
zh^W)_>R_{~j)W4rS^ZY3h79U$TjH#q&u|EWI3ns078+nsHK*)S&*x5;O{dVK-Nd6y
zTWxiWn&AyaZfJN3bmBiM(-Ask>KK$TIqcYBF+SMgRUV&BB1xSe*2Gt0V)s<XX`I?+
zx+lk}frW~XQ|bBEKQ2tvu-Yo*G!4*K=V^G1tV<()Zt#0@#1XnuBW_j+;#e{1E6eYD
z%!S0h)pGKqMlzkyzzu*Qq2YPZ8a$!lUqQ$CN)KJVGAlhdH=NcIY>qMH#&Tu$AmuHs
zV0}kzq9|*kjD~2HMmvH=I_UB=iR9s4e+t;@enUP-%Ag6Z)&2)nYSec7l!(yENVGaL
zA@6goC4a^h)(fgv<yU4RMA$d6n#AgLloSr$2Yv652*>@Mv2A_Qkv$GktC4`RFF~cN
z9+62hAJ`l^K5WEx@RS426SBT6;2ju^xmMaZ*RgmNc(}4W9oC1uvNNt%b1m=>_>s&i
z_A*3C#eQsZ8hB=gZNPuZY%ejg;zu#CG0~mOILoT}gL}$=CjE>{vCv*2H8}wm%^%#A
z$qO>Lp7T@<Z<zA}jQD{v#FIyG6_hCG17ar&dIY-*)G9mzIjW^R0x5tB^R!36!y?9W
zkM091xliyOyrS$6x_V`Nf?H%rpo~+X=Qv(hBJV@AwF0+btBjSas>m;htYE>A#m@k?
z`C7=Fq0m%i!^cJ|b3=iWFwNO3wOI$Do>zS<o%8reqG-OGrB6Eyr=gZz&PCeesTKLl
zxlfvj&0fP44I~1um{FUtocoNq1#PLWARJ|ubJI}dFX#S_nNSlHksp=}jp!a+Brog(
z*cLKpRFb)HZ`D1xl%9|-+{j8Sc@s>GMWzqu7Dz#q6@U%Oz`Ae>;<tbfZiK##S7e0f
z>Xk7<H+LQMG)pERs?@_W6I0&O3M|m0(gF#Zy;i3eRMo1JmTrh!9f@qiSqrVC_RR3r
zcT`5GbFCO9+Q<w>k#G~)z6semF#{Aom5)XttCt0fN!KQ>rp=b`f2*>i=9J5xli`c9
z1(#p7(Gi0aB_8f8M2aXD<s)uQ6qEjV>VABbcW*WMH#xb9JD^b9faa%}{e-!JY^xy}
z$jI!$C%QkT<tAqADOO1?{eTUQyoERt^NE_{{H{kG3fkeQp<)>*Z%Uz>@0PsNOl&r)
zqJgwqlCki6zqx_(UJ11^ED-rlNy|*935dwGAg3fd$IQ%$V1A3{nEis0P-BkSKpM*B
znEkSuk|A=;IDrW~H5QRh9_E-$L+hYBB7H~mLd|p)uy`ruH*jOu=Zt;MQFEW+q!!Ai
z{i3;nY(5kXWT-iOlB4GK-6ao8G9e`(O3QkrmE!8}&l4^F*wx=xQ)uU_zrQsTn~k<;
zAPtFeLxDI-KQuS2@q9reVQjmYx=aI?uP!II#rY~R$|m3v;+?H7%^Y1qUB1Ccs8L-G
zq@kR;yxvU75bBZ>n7~tG9izH@g+4cUhq0GA3i54GsHh+KUULK4oF^K{P>}c}M?q!>
zvC?9nrwKcWsuMDz4OBrHj~Xf_(2W$V`I_({GqKsQiU!h<WW}d`(cD6LILgGQ(op2<
zwojS~H9?V(#cbVXX2ue_?RSiX8g<)18p`Rmub3$rLbq`O6L@MolGbg5-^I@jqKE?9
zf;Ko28~h;z99BIxs8)AH&_IL+1pyR?`;iEAWX9q2%=Z1qDRQM&Pc8mcES*7OTP^1d
z1%6;nRjr|xD4~25_Cp-d8TNhSxaxCR>=S0GkJyT}3eynEe=oWNw&phVdCBp2yRh&K
zdsh06Z`q9oq-n#(O1MEXhR_a*n3!d^>X5M5Y1lP*&4VRtFL0-D4V&U6v3C{puSC_+
z7>#eIF<OuRlv&?q>#)RSN7usuM~M6wvi2`7L#bR;-id|wN?8FnVO6sBZ%IVC47vLY
z4)Ov|Ou&3a+9Lr|fD*aOsQ{Ts6H47zBS_)V>k5OSXTN<HI60loKL>RIZ)aum<0G9*
zk^!w!+5B%!RF?1AfLf5*{6~nm{8x1+s8lxpoltQ;Hk8S%fJtRCr*O&1WX^bRUn-kF
zlU3AkhXo6OSSDM`w{2YS!v2s0(8Ylenf(=d)tuRX9Ce>nY4#d{*MU4;Oi%S;3xfls
z=-^`(O(tM(%r@C0Zi>8?A5iN5BIrz^9dWgSM-t-s{sZGJ=Ydw8ZS&bDp95s3|AW-;
zOzFT!dNXF}n2y6DBjm~3YT!xEA4@cm-xEz{K0+ktzpBd&dmp@9H2eRf@NPb0Br^)G
zl+2{i%8{9j_iiM<8j5`soZ$*80oh7YHCVQm2aG~V*}6fx6wy~R@=nL;2DaBi;Sw@M
zc&X&@gvlwGd-BIXzs}wH{FKiUQi#4xSY!$jKGK^p3(>&OWnN5Fmru1OFfR~!`L7Nw
zFn<jd=c7Xcqo7F%ObVGCfysF9iXyBLiAJH<K?ss94Hkkw9Dr;}2#i(Ak7M=~s8xJ?
zfsUY_$C1ncK?20bG27|YRZE7f?1(dVK6@bz;^UZoSZILXs?9=7U-XCK;S9U63?-D=
z_$DY(FtZUUE(Nf8ghghfoMFi2e{&)6t%IBnD*$5|Jd{<!&7I*}hxY*!@RX7obd0Bz
z(3LTzqzHMg&DEUyU?P0L3Ht$jLL82hGnBQdBtGVJbrfB6m88qvoW`u;-W+a(4U`U`
zU4Yuf-fwh|T(iFIUJ0SC{U>Oz&nb7tT`!28g(=@U6Dx!he!JJLfulAHeC)0br)#}#
z*J;6?5d8kJaI?JAfbW?5$HI*eXuzqm-w(If+qGWcHT=27Zo3sYt$IJ4xYus<9KWyj
z8sB;>oK(AqLitJPhT{itE;szx#G9!?-KXH^l=#`}HsIHmpk0F#CTgefDKs|@baj{e
z;f}?2JAhBf9PQ!Jwc!@usRgZGvw9Z4=I_IuX~>T8I#oEjwFyOisB(tiaT*TYsp5>j
zO2Y;uLyMw7!}cLE05>+n^dEP~XgH^xM*rx#aLTnC>gRa49Rde{RbU4_U%oURj@O-q
z-Vzj_K4W*$vf~Naj@^VilR+1v3D~LrBjGfkk;-#QU{l~;uz29j2Yhd-AMS}itUBFp
zyIXZ3Ced)ZfHRU>gB|L(wtE3)2Sv4vQ!V{)Z{kU!3id0&i{Uh{H(h#9{6V5{xDET@
z15mDrko3bX4ZF3}vzHt|yzcbFbxx}vUetAJ?QXqVcRIiy(2PgGPSo11Md&6V;?=92
zuCwT!g@mba+U^DIYIG}H=K)h~srQ<ls$x6<mTtf-#Ob!|29DHLx&!F8d>sDhR>yaG
z^>+1a6Ip7TbGFm=ovL1vxTF?TPkX)>w7XbWweI=$LIXP@sN5h0!krB_LuW8r1jhll
zTk!f8@fsy)`TZ09a5trD!K?^;J9r1i25YOskZ<bRXVgz%(d{Tzz&ZHM6i7kS3;J(g
z^H)C@52rg$rwXt*AdL`yf@U`39Xe73#Ur%bAn5q>2M?Y(b7roy3@53y=Gxt*gLUWh
zL3q<Y*bjGM2_gkbR0F38p{xJ~W+U7`u<x2T0<zQH#af~nyc0FEM>Z3{5!U{k=LCz?
zj2ko?(8Oe5FMt%)1Gj&4W4IT1vIz$(3h`9rSN#rfegDyLo4?!&?6XzZTXGxlKk)BZ
zqul~_-%Oj(RK+edkHF?M(WW%jM!RM=00e+`Z_Twqgka#gyunZsgz)yMUI&_(2Bj2u
z0Sq431CIjtv}?ErW26{%psMhD3-R~1In4#94zjuoZMlvUKyABf5Cu9_b(*%<sM_^<
z*CEaDNVwi<o$iB)3O8~U0Wt~f<+bV_FnmzuTUisu+o2&~mjE;+utMEg^!w*PiN)@=
z>?U*%ZbNO0>IdZ7EqZmjzX5OZYqpFw<TU*8!%4hN6Lly|503fn8_q$T3ZH{Dx!Iiz
zC&a$mN+plO>=e`YRIcaE6#v#^yWzO!H`~Cm=-#}Db?prw9*IPB*f9_TyU;fXfI{T!
zguBSz4fYi}I_)n*9HLnTEPYTzkqwd^jv~MZ?<BT?4Pt<k?1lv@yc--qoeJ|Xv<jd*
z;Q*<+xTV6orOPQlogxC?M<h!GZXsF=C3Fi;eN7D)I|c~Y;kdF>V>EvZH{AD@<Hzni
z_Er=#G~Y+JD~r!IK@l9??;=ez>?zzQgh-<&fbwn#ykfoV2>$sH{`nrfE2HRwiC%R~
zw_PL&&-&a@XKHkDZiTLHff6xHv2STiKZtizn6fD-E#bVh1e|*SPOOrh!#^*N!Jn~l
z_|w5Zr}59%@y`qR=k^Ks^EUkRDg5&s{@Dp9AhXxupL6)<A^d|ULo+-*n&DZb49_d2
zGvpYaGe?`v)5$Qj`7Z4YOuI|b23+)2BYlBN+3^fB=ozks(Rx`A4&&3*IO(7*H4hve
zRAQi)_#L#?@;$EX^gH}LP}-pOn+xrRvJCX<&csdi_GGNaN!cnD+7YXtq!vBBUCFw{
zlQrQK_!6~t4?Tr`xT)4|G(bH=AHbj7a9G^GfXeeTz}iR0{D=F;!76s_E_ew-k6^<U
zGwWY`PYXN?sM)DQ_!Hb54wO<GxzFS3;f~U*d^o|%a&{nR1d4svhe9Qc|J3p0cR?Se
z=TFiu`T6333IX+z8H<~42XlSOB1?`c)K~h{widueJVm>5-DLG5$a>%;BWMb*71a^P
zbfGk+)uNcL6POOG62N^hL+NO21%9jVffs3!(_*zxJ6%-ixI9H(uZLVcH}!6qXwXU~
ztXINDXW)8+quO1z0_QB8<>1upo)7Dn!Ii${w=Lg=$&CVi=@o13#q*Er?ZpS^T<HON
zpy&Xtl}tZ&=dnBPQbw?h*1i<R2<?Rv?og8pT``24)NOJBH+ijEqgMx?zP*J0>Qo))
MKVquDU6#532Z2%AmH+?%

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.data_readers.data.doctree b/docs/0.10.5/doctrees/dataprofiler.data_readers.data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..207083797d172e8a0eb890d9f150cb53bde52bcc
GIT binary patch
literal 16955
zcmeHOYm6PqRrYwEcg8d0$L{bL+qtW-cvkC~Szdx2yli%Dfr!HxIb?~jtajhqb*H-B
zxBI3a<C!d07RUw<R9KLEgGd&kDB`g{fImn)#3K?45<(#HkO1+6kUuCt5|AKLh!nwh
zs`^pg_ujtuPAp;}EO}<Sy6T)$U!D4@`c$3QX5W17<rDIsSPgsJ_71j8%kq4Sg^5_O
z{C3=BUX(mcp81L7ezGANfq5_V<DktFaRN2k+;**idCBcWtWfpHcEhc-{d~yUk?nhV
zb3V)G`26i;gEz!%WJfO3UWu7&W@IMx9<OJ9gdLFHwDk2v>W6@HVy<UGW0deSqG9AF
z@@X-bTDB`@T-#&GZrn1(q8UYj-HIdhh<Y$>TOnCH-*(L~L?Qm3^~|pNYr%?p#Y4+%
z-wjxY>cnC`GWY0J!dLk^KgG}UX?{W6*nVHgf^hqXe)Pw_{rT_M?ghRRZd>RG{_5B+
z3$|flxUDQJz1X5!M!-x9?d8K(5TaKXub+%t{DhdbJ&PS^04ePFJJ1XM6hL|>{y&ZX
zm+=1?>JdN*Y}t<uG1D{cAQ9i%^{v=t-`mtp>erlzr&Yzx5%u`oZj_iYf0l1*Alx4b
zLWh}A95AC5m|mNgaF7of4)S5Eceq2Sp*P-M)9;Kj9*|7|vW95DGt9lf>~Re?@m*Ja
zFEVW}Y<A3c<OhdMIrL3}o)qkxf$hg(^DY1nGj&_a5!a5}x^UR50O}>>ExY_8`Q*?c
zBwSyFQ#}TFW}^#Sx76IvCht(|%MLgf0$WUQv2_i8-rP`_+un%5d?pd^toK1FFB#~F
z3SZ2f8SqzI^MQ<ZPJpEF#t3apWpYTZj(Cd<-LSo092qoqjh-3to#u@mahU1edY^~i
zx8RkRn}+Rgy?h8t`N12vZ#Q3P?)o0PEPJNaf5|&6zcZr49@8p7R8hf~YC`SxHM<>U
z@1K$GxPh*%$_|*G=SOCRT*aIMIdk3YvGBz?468eyFN(%N*WC$wCQ<!DFJPd#eU^}m
zI*`&y`R^ycu2Vnt1)5cW=9Gd4>le{<wr25J@s1H5l>s)gUKz;`4M%cAEWyV%0h_c%
zER$(+bmTMBiJO0rze=#)FJR?AE|~&-YREoSJESd@Ykeyu4e~G4nYKWtDZ3U({BV=r
z7-Z5}X%bOwmqjdaZLC@v*dKd5XHY(Y6a(bu>!v?{Y}0e;a-fM{jOv)JR)l9x*H>P4
zvfmy)l48nBOx=^ni+&SB_O_f3Psnj1Q+l!2j^aMLnA*u~z+YvppRUu|>(~0nsn#_y
z)vSnmTNlNDD_cy&QzMBr2lZ5sd9+j;2iT2i1D5WH*2F?4tD^fKb=||)U2JPv$MU<_
zBqZWw?+|+_6cAfuZzyMNBCAAZu*V|MVXh8aj>8?bbxOp=dYT~`J={^^c4?^o9-#d#
zhU!mpOr~z-BXX<Km4B=0%3t((0gVTV{)bF-4%Mt&#wx<US|eQFVrn??e=R`bpD)3a
zs?f3FU-()&@0^}GaiYe=N%}vHRkz%G=VHC|$pMf$Chh*o%gt=?>Ce)9biS?L#7O{H
z(l##@Eicw<nH-3cu1Nuz!gmdQ41!Z`R}8&bZ|HD1w5c{+`kiA+XXUN&AN0-2jGG6s
zq@?UKIc57j7MS>0(b!H*y^sU)LIscy)|xD){65Nd4ycJ*D~8z95OcOCzofP0eTMeB
znH}n(?5c0nn}P+hW5#Y|?3-@P%4UgkVchHaL1ctoGl)JA`}Ea*1g>;Gnp;~zS#!#4
zBlYX()~A5yZ)D^rzL}U=+gfW|bJ>**ZC#q7x_JlXL%D-**LIK(9Cqhd(Wp%ILl<A?
zck2}l^zKYS|4_;|I(ce+UCtJ=TZBjoMgN*ntaoK3{<7XsZD{lrwr1rh6pbVc=g<2P
z9lCfrpRG4^Fruk~emJH9R%QNuv0lOCNJt&W0bw|;O`V*45lvC9%(+?@AL4;=%Q*x{
z`IM|7vu~<3)Oj6Zs??gY*@#&H8-7l=VI-G5TW`t7tCox;u++c`o|=0M=P>zkS`$L(
zBeDi@mu!%+nO0Js$k%H7IfT;Qg+}92+Rb_egC}6BV1Pr>n~{`8;gyLgjaMX(_tEf(
zD9!3abU3BGT5srJL{kL=D6M~2d{nPM^Vu=UeY{<<(+|RMN_(r`#ySuxQ*bb))qCIs
zl=eHdhSpNrNE;@jv_Gr2<QSBu46NX(xyNuyyXe;jJ^L7KKCPeeS^ivRvwyDb;t)3b
zCo~$D&Aw2tV6fYz3I?zly&1x0EBOXZMuR7&v+3!w=>JtZ`|mzThtt_wy`h64O%?Rh
z*$kmo*`j?*y#~!;$K*4mWb_`bABN$C_TBYH*1=GjfP)FG-U%llv>UaC))LxC8zv((
zv)+<p5SlWuf~V#m6+#<b@ss!<O%F`c$iCL*wn-<sIG9GHHW7;yoA+A|PR^6kDS?<9
zH_XUC&*#KKCw5&Kg60n?)@bnyr26_4OfiXUz;)S)NgL;*`YC^Q(zn6im2cPAUN&)9
zzSC6k%bh#Q#5*Y=t%>>ceKF~ZBEIg3${-biNwGReBo1@uT^pwhrmICjoL?j{Dke0S
zf>fsdPgL}j`3}e8GJ>pPyoknbs%UHpXo@!c5{X%N-o&rE^I9<{<HqeVLcdz%)cG}t
zErO?cgn0?V*g?;=+jf*3$qM((z{8(fklA^i8W(|N{;(8!%}`O{<qP8RIG!V~lP(aq
zG{>*pUm%ll`0e~5VJ{ukIif$6uNI#8-1nDG@jHGn=1KnK4RhaeK0}tQJAaxQ#4n6{
zl>ZnFz(6$Dui_d+#F`nX*YM5QR8uRz0#RG1!07K3Mt?IYM$TVTi;LH%0q{T@-+U>K
z{7nmojq*BCc15E}2Q*E))5KADGwiXp-LaX~B!`ekZB07F54RR?GMx0|_D9576Sr~@
zSd}OB=`9e{F51!;b6O5Di_~Jz-e>C4LbD_|N9QrMt{9iksd4%2amQu0JT48f2%KHZ
zs2u!ecPwzVOTO25yLgp0t)7i8{&04h9A<lay(sSs1g$$?nWQ7mmsRh-M8DJ$NZb6p
z6D{95?6VZFms(gqSv0(p4eGvuC92!sydbM{l|$d==B7I3p{pD#=?Z7y<J<T4G&!R0
zP&i%n`pV1DT$oXWIhvmYtv0FSx046X?*SjVwm82}NYS3bStn`h&Ntu}AX^i&&Ck8|
zuzE5@Z}pFtQ3Sv4JR#+kSLVtowsTggUX@jybNH3*MAC!I0^$WZX>(ki^IBzG1R4>{
zze<YaRlZS-?mUaCwLray3d4b-x4Nd$KwXjY9vM)}goTU;7G79JON$St{-%|bJ&jj-
zGu+D2xLLKh(c8&zGaoH(OKH?$7;1SGBE>9!E+h8QN<Y39#ExnaqqmbG_K`^ut94#y
znG9HW7RQjfpsEr*kJubK|3SpG?)<x~>ij2ul{sO<`7f<Z%%|&qwxHzC<ze|W888+B
z5GAIo$sbXpd^K?zcr4ped^x3jHSE@|+V!qGe+3bBpBkh*#fp?qgjM}ueNn-h?Yy$3
z<9OFT`7Lop(v1ADVqtTGp0c~p{TGkb<<R_!Hg11DH%0>`Csk3t3YzaA^M2eZkIV*V
zS%Eln4aQZ3;p=jP|9oEMl-`@nmCA)>f0~-D^QR5|7XRha=Vlg6z*RfvtK?SF7sVT2
z|9h1cVB{ssyE!n6@4^1(mL8Q{6DN17yMxmeG>Y&3bY9^4A_*$O26Bt{jg@A@xpLfC
zom5i)Ax%>eSF#+k8OykKRb+VB^4WSr2gmDD1>=P+pRd=Tg{8)YLdHgq3&rrz<$LN4
zt%G7XL1nW8SB|yW;jEIbvO~Uq5z*#buU;zV>!qFM70D4zSvZ)4oY40SYP0q3_ukkg
zKDhLKmz$UFBJ#2qLc*)}?_X|CELG+pD6v04=?ITXZadspQm?-El}9BLH(@^z<4Z?^
zfbTGRcvP~@{lHg(UwY-{jYlOlLTZqbN=ZTkrDksW{$+RtF6jTiV@&SE|3@98yj<U@
zXDy9hM^RBhV$PSbj;pA?^C9f6oY(N9wCFn@M#;$g!U*I)bUs2g2W(VmwL(z;aoi}#
zaPL>ry$sHj9-s@^zG3us*!gKx2i<1^5E9PmzQ9<WnaI1^jePr9JuykIbUQzVK^F6f
zYRW6!&WGtyW<F@o^PaB~?&!K9H{>=fjYp=z-m>y)#6nrE&Q{c?0g_V6O*YiILwcjU
z><|xNlk+D1IHDgPqaQz$|Mj!@OScQ@hkZtE@GEJ!gJr3K>9d)o2vW}$aR4-}Hkte~
zqOM3btl3><DV6*(wVe_x?Kq(1OCwLUJe8HGluNM?vM9n`edLdx$rD05h;QMD$x6iB
zD|GEMEMi@&yP~njy!5s!9<UCvFfzNnWEV*^GS?JQIPWeV7t_Z$aPhPp`E7$zH0dqW
z%~Jj&?(U!M_<n?#FtQEvm)EDnGG(KBao0FNXt$f7WCd|IyJxihE+x5!5V@{On9F2|
zanFvpk$q=CW7;6i9NiVC0w%Akx@@1h$@P<Bk(;>Mnm*2oGwi?yR>;(f!=iN7Vy$=&
z>Q?A{hw>UAmziCZG@<|rS7dkcK&+_XA@kZkWj`PXA&xqm-?J$X3eT5c8Y~F>z~H85
zA?Xx2lc_jE6svw5QAS%KWmZZ_#D&V6iU{X3a5}M~<o35dUw%<(EKXA&LIA}9kt>tP
zmR-}^i_JX-#4Ti2oJ88NI2W+CA6SOPD8~b8D1mhsnQXq-!FebUu`L5>R2};OA9`ZN
z#8H4z6p52IoNC#MyFDX!JOC>TZ1`M&%smpgDocQ_7t-(-MZJ*4mTw^04Yf|={LK%U
zp|_M?(#CydJGALSHe?x=9hxm<2<BGKXA^>77N^je5K}<q+rVqmYBH%%<{Pic^g?8$
zvVc<fFg7I3!jLZ^zdC<}i=Lrb1<&#J;E1l>#mV5iPyEZ5X2nX6^^i2%VVI3=2^o@P
zdhmEyPt!v*c@*`+o$c*=_wFH~HsZdw<p+D)7Te!O&2T#rPf`nM3R)P5WMiNrneE4V
zn@>OYoj`Ua=(H<psH9MHK2sC<J~F>;7ImZ=9(7%)XhdcUv&f2ga(zKufKPUfe0t{Q
z8!FB4NSqE2k*a%OaC?ut_z(Y`aVaz|PRSeLMtUXu0WMk=H^dFsZ<{#kp;Yb*ZH}Xa
zHU?hJHw>kO5Vh~dJ)EUdmby$mPkG=7-s87zuLB>*h~X?zMHsir^-i;Hi&>bfhtS0t
z5`m7ylWo^G?-~rLL#~0$d8A2FPWb~d&Afd|Ko<*&A}}Z6URYslIDBNNOd@IV87P9g
zL`a>dPZ3HtzYh{CmC|{MEQYjB{y?YCl+BLn^Hiw*c7BDHjkoY46b&k-MUE=T7rP;U
z3JK)$Jyww`IO>>7)0&D){?$eLirmcTD;~1bL)=G59$;B;7Ur;EKW<sew|PhI!{ldU
zES7bzlaMXrm|ad$@^4i_<dW4>W22X-dhjuLX}9IOxg*P}PgDx?+KrOLMy6FZI$M&D
zbs~spVS2JED}8f9EQ0#leoVxch^4lVGb(u|isf(qYFhpfWBqz^6O$J^c+de{Cj{#%
lg*gM3ikI?Y>8DG!*LGtI#N+SLq*}Cyq*Fely+hpE`X42H<L&?e

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.data_readers.data_utils.doctree b/docs/0.10.5/doctrees/dataprofiler.data_readers.data_utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..9b86f3d818b604b8759e5a2bc64078320eb6036e
GIT binary patch
literal 165862
zcmeIb37BO?kuOfuYxM@rrczXML6B<bt_DPwmVFh$MxYV2A5-40I@R|cs_rfB(u<<P
zb5Ow}KBZhxT%V5nuFnlr^tt^V_Z1n@VVrSBad{3pe|6Lsk=x14lNl%TbX8M)Z}>i{
ztIo;Hi2P+lWM)KUo*NgxV%a_m_QC(M{kqeQW^30-eSEyt9#6V6*|PEWSbr*M^=59L
zS$EUSb7qFKflhsAx83iIB{SJRP-3jnoE+~Yt(j|Qvej6;*PQH*i26&r$yl%1ZmH^x
z#f>G6rPt03HwLoBy=HGR(OzZC&#(9DwX3j&87u{b7Hvs(A$8;3%`=P_Xzajj$#fm4
z_huSvvVl>>ZewA#L~yw|TQu2hB{Q4*+v?f!dau`MZtM4;ci5YS&G9aBzI1G|-tEFe
z_<eD!KE;1qHr}7k|JYU^yRMT=V3~flv{&DbuVxziH3l0i8;3O(HiojRHeS_DI^B&=
zx%wF=p7!{S)17wO-8c@Ng5M^ZlSyYIaM<0*IWu02V5!kgQXhx<{11*~rwe^sd&$22
zZH;}h#m&}uvP*-EquDqd`qDT80DCO_e>D7m4E(<i`vuT+nyfd&*`n!svon*epK6cy
zCzB`EbjE!2XR_mX@eM(x8%s9#X6pUMag7ZcEVq=xGLh7K{Z2Bvty6D}H4J3f9}*e<
z2S;Xl_a;OW`q$cCYfprA2cTR4P!41RAUE~xo%(b`gEKqoymqTsZ??L%iGGWTF8tQ+
zu(oS*bhvCD5?DAF*7E?8bGW2zZmdOl^bQ;%coqoMJVQ>7DIhq)?SWKiZ%<4ST+)TX
z0;SK+Ve-B`X(gR{uiY75R~v4&YFyNUMsnRu_V^Hy<btgT%{V2L4+kjNA~1Vnnm|Zv
zwGY@fcr)5<g4Uy?YGtx>t-i27C!5{grrM?Ob1R7Gwd-md&a7P|yNi$3*EY9X3I7S&
z%8cSZ*-AzREif7vX>}Wmv!jDLD@8M~bS|4qU}z`(vN@csfUa+t22+cCWvh@)W;5B}
ziD7gGc1=xg>Q2{jidY6!z$ETSW>BP4pfVwB<*Vn7Q7DKA>Lv)o02>Q?AXb~BEfKdL
zo6z1wLAwm0<+v_Gl0`@xH#DAu_&qPjukl=FLV(Q!7@KI$rjlOLLBZ1n=OC9ja;~LR
ztGZ$JhJh#(091!j8=nD1PeP+TF;RJgAC+uDYo@MC6?Xr1(EU5u&>Y12jO3@$PWS89
zDkEF4Nm7U3Osemvs7@EDzE@B^BwJ9knz}=8s_}Yh60-rN_lye!Y~^&)8VBPyx(n72
z8qQ({KO|d(b*%Qktheu<EnrcWOpLduVB(s|_MP4h^FBQ2?Vbh&T+Fm|h85}6JKK}q
zj35P5;O<S_;?878g_svq=iQrlgPU<cz6j8K4hH0Xs^<%~D%`hPo%u1*nNJqR8d1ll
zza*PhKrIC0X*K;zqG^3Oq~X-~ehyOOUIQLRKu4$XqkxWc8{PmZxz^+^#q~A8pttXd
zIjO$0fRWG#tDM$hX*XU4VBSuxH)O$=K|x`la|6TYq)r0!UaPB#ZgyztgjO8A0aeFB
z>2WklTCa3*Cx%g@R63aHkw86Akkiv>PMzZ^2^0Y-igS7qO&}hMFo~8t=GwgP`kGW{
z{ME3d=`(09BVkyCt09X*gQgIGL$<KJEwzjvBUC{mNHA`oS)BziZlx&%fRXNmCJal*
zL9c)X*f_R9cUZgE(R@-!lp3<MhK<`MN~?Bl9k;-+uZN`p_zZAi1p)w0h#7N<x+HGi
zYuwvdk}aF)PfoJcPUHDF`HeS*&_-Ue02r#HeP=5ZZY;-O8>zcZ<Th!zakiY#vW;8n
z*Cn-j4Hs;+dTSi^muO+(iQ28y+O1lzk+32o67lGIN^R56G5FGZ=poWX3Hyor(D}Sr
z#{oz`CAtJ-Fpw>uXeN{6qt;4T?&ZMq#NKN&S^i2?wHLL^pDLHv!ZUS9raw{$Lqmh<
zKg7VB{*aH!_wgStP&g5(PHbzB?=EnvNzr4~a=SK+9fpnO1};+I65-Af&N41SS5G!!
zhftp!g%|DCcCB65?4SdRK_)a?dt&zQcftM3R-nUdIvHzDG{<IMq#K&_6VQsatV;i#
zWASVF2QWA!+qX7sO$qo)UrQC%hx=sv%T6X!(~Ww!X)Ia57l;lubS}b@oBd&SZohp^
z0{&Gu=tjB<OAn^Y;U8*wrLS1{0v&-#c1=$<$C|yFTYO8=bPY6|E`%R1N*Cd;2wJ)r
zev`}ZRAIGXT^Uq|WQ%JL+<3b^j~5_4B-;;xL7$owAcax!6?ETjK{LpfLz3H*!Sq2k
z!Zfx&$DtlfQ8D`4$R^Y8@}l2jMbq!WKhnwy%}(#ro@Gm~5NlZ>2kLLtO{T|B2Ap+S
zquCXDd=XYsdYt}3qsw{GboT(z#;Mvwr#+>tycA8>E5%*rdJ9l(jbRw<`e1qu)Sv_x
zWn7E{c5If%VFe$D8r!Lgu`r&g9<%Y-9n(E&S9f5g!0{MR6E7cz;$mGZVe)ocFmJjo
zNRNVQ%t)5of=r`Ln}l1T(UL)Bga5+va&qty#i+rj_4ON|6(D_b(ryfK2P|FbE>?*z
zwfKmFo6f8<%mIa!8h75?t3Kf);iZ<s%8*H3dJm2QbG>PQFKxAXwB;5wTBFPmV5CRz
zTFn98*qWWMglx3k8pWtkCFl3aAr7070xi=2{Y=YhHWK+Dn=G_6jI59H)%B*@RV@hf
zZ5?g4N3LW6nTs!5U&Fu7-3_6(i!ZbN-@G`?F6(RCu*9`4Z}@eJdZ0U7n2^BIrUKs&
zGT=A%!;PJdUB(tddQ8Bjo&HeO&0afyyxN5kgE%5Owr^Chu5lFMD<j7n6RuyXF1tcm
z!;P%*5+_{X!PekPAH-%DS1(swZHN*qZmD0rC$)z)&+Q70xSWfPXC@2_7gAEwaJuZ$
zze1;B9C9~{-&vimp$WKm(}F<JVa-VEQm*y9RD~HF!-WMmtSXr{TdU7wXvVcYramDO
z?mR(7-$OY4vgu=ivI(!(C!KDhxpc!T2ozTbD|P#4;qfGzQam0eu?nz|{;aJuyOF@G
z(53<lmnKap9v6dF1y~5z)(teT6e#98g)|ISQ4Ik(=YTsu{Sz}H{w;|t3m$!^!A+0Q
zb|%^IMJhBMG&L7xU-Pz`Ci0CmXj=CI4S`0fe0c8!>Y>KqLo}!E;S~gmfH<w<Jv51U
zFoLaO3=rR;xr_wD5#V@$CJ+xpV1T0l0%-$(M{^ko!(z73wXEO5MdbP+9tc6DiemU(
z`iIb5l0f9E91`oJ_JBlD_gulG6KM(oP*;zi#L3+SG^ZroVOU&AQ`oy$5EJeM%_oIK
z=`1Q@NzTbJubh4t=2;$8N<R!UX8IBMVeD+ukHeF|{0WRBrJuxRevQ*N4<d<85DQ~`
zA0FfSyuU5I8;Z$YjqqY>uEUc>@CdgnzTi=>QSXVMQWru3t)#1BNL8z=sXcuG4$WZt
zxAX{UlEhuVL-T!y%!c76(JL5+Zx)B4+`+8JhJ;f>f22@kZp}MlAe3&+S7N0hDLSyk
zp*_t<v2E>iz1OG><4+bPVt@A9%=e7%`35h2Nb7MnpeoAUu=d34$9seOp}Q|{gjy=1
zAp=0~gom(da|M9#m9c}hEMB@AR7mO#rabo=l5_rt$@J%}=KKq4bcKs>&u18W{-XLq
zHY(ind1%-R4rW`W3YkK<rvQv6+~X*>e?bxyNLlfn;6fjS++Nxl=v?au)3=pChUkhw
z1B$lo*tIeNWx(flR<v9nRe*;M`1}Q$)4Sy#VPsbXeEx)$!ZmUArC^A8%tz@Q2)g|^
z9{~Fez`x((2tJvse<jo?2?<E}u|Km6zY)_ZkMnGZ>7E>hW3f{BFlfOP#*k%2U_`VM
zYA~3+J~x;>-43Kb09^Ml)MMC6W)99QA6GX1Pb@Dd#~*==8h=vxQxWQsGpY=q(3N<o
zCzY!qHLi|;4};Yc@JT-pa{&WB{Q~~hhpwexRKI-*ew*ds&XXYVXGhZMjW%1o(Ow(#
zEFkB%Qh;YuP=LotuWFFzC}(TKyEfIJJM07l^hdaX_iAwFHW)a+VWxvKx2n3?8|F`N
z#))(xKy$FC7!T5T-kR3xb*lUEftnn;^iFKX3e+s&g29(pc?3p(tcO+>?2-#H_|0VU
zLnM<PZ|VD>lIhy>=KQDk&;;BYNkPC7M!`3_JZfQ-g`g_DpT#MKy)%3MeXAw^l0%<N
zh%gDGQSScvHUrP1<_=eJ82koXdYaKI{VrFt+9ptzMX$6=x=gP$^Xhq~XNOmDpC#s~
zSiRHO2*nc3T{)Kj8P;j(aB%fIM>oA0TAKrh!yAxE;c(!}%yzmjgvTh!r4EN9&*L*2
z+bwQy?nqiNDNOf!HP}G%Sxz|@LW(LaNRP%*8%!S?Ja~LdG4x2V<_zMR=o#3mv(?7*
zLl?JdaO|qr9P3ZkAq%3}t2Mhg&9YyG*@p+cTGHzF*%4Pr1nwkQs@1NI)ZkF+@yCxW
zhi2fgU=xo&LCpy^I(%HP;PgnV4$m=#xZUsJXzgrHPS&<1wPWDLF}0nI=2!!oT)q=s
zMLUyPD@n$2L>rKg42~sSg4E#b@-!SP+pWg;qYpFh58U`_;QoOd?}+6;7rK+U(4817
zbm<9LW9=miL1Oc9-3v~l3u8Eyd!qBO(vX<DFM-LDb`q`IRU78fKPHD0lkGZ)BPjR!
zTB|=by&HuI6L~i9Lm|Var-+!|w+1t>J3kJGS_RM0)$q{c8Nye_q-;&Vre{b5&ctri
z8LXSO8uZU6=nfFRp()0ozo<U-MEQm~(6ARCwi)EunBDZB$4hUi(mjDc32nXvIs`6Q
zfaQ?VJGOs*O%=MYihwn}843q(wbMJHY&@)FEbD_+Iv4`%Vy2RE6)pZU!Tnqn+Mj_+
zly^v%*(h*7Kl|X`SEYj?;O2`>kXl^$nZQ0+h3>!26|ldWeP9<YHO;5rglX0;1lR#J
zc}U6Co|qsXT!n`NpwgU3@1vmMc+)_HGdEP}o`4v3q4og}d}B;_9*@6WF5hhUy!Bg3
z<Q64Bc<XVE5$G;Fn-!fkZ~Zk<XbNxrRahx_NyOu><}qw-8_9PfgXsh`N=cvw7t)_)
zxFWslH&ub{xlyoj`x(A*e`PRBRc9j35v|NGXG24pJ?2Y)X?Z!R90*&~Xp^cbed%)J
z5#>vl8+|4G4qrN3H<7+{EWv&0Uxu!6Upo734t(k7^jpm_xQ9&m(JML8!>$N2303u;
zzuatQ7&p)IU<BJl>AR|J?e^q)aRbn$aM*5r?fm9g4~{{=1w(DP2x}bv>TarGvDz86
z3+t2JggM~({w%aPHsKC8_NuS`0T2v*Rx%Ze_SN67>dvPV$L6>eob;>h_uM;gKQ>o7
z|3~#S-YuV_l>P>rvE1@coo&GrQj~l6PpU#ew31(vvj|&}OG5sKiP6$!lq7kg0t=y1
zXjI@}nt(ehAP6|30{BLkd@U+4Qb}*ET{Z-zoqmerEV`z~>8TU?^hv}Jf|H7mDS+)i
zYH=pbr5kKPpa_IxhjuAVKwGy3!oX;hyZ;Lykj{Zon#))iitd#unm`2@kj8Aoa3jrS
zBn(bh$Za%<cpwCo*@ogxG@p@BEW#y&<-2$vO(7l$PGq)$_$<w4ED(+hg}y;k2mqpb
z4tSiI_$QjvSS)afX$i&up(zAlVO^WXFR+_!p;$CvPO8@A77GNfvMnGEpea-Uf)S|z
z1mQY5nr4!M!P-;0gZz9|V-?l9E(7-%<o_!yI$?>GuLlqHZ(0hgzLk1ex%x97nybL`
z=$^Z~a~4zzT?JlF6L3Q-2sl=O_{Ose<Yv?37jYTx?N(cs@N44}xTFa+++z$siyR5H
z2MHL2eX=#`woZ&B<9)yS%|i>$kYWJ8nPdL~vj5qFcHy?p^l!1sU`me<a5a!EX|~wK
z;Myg-i`hn7vLpU7S$Zwa65NYAQSVRoMt9UF`-#b3c3`(ZJ>7=v!0r@;{;%)1@fvc>
zKuqt@xsK7o^0Js}<JvKrsWx-ELHQ(!*<5Z=J_?jgJK*1-e2wPPZ3hH_pbg4D&;;VO
zIdFqg0D;_~{F>%67KY*m<<B&M3NVCiP~u?Nf4OPKEn64~gL8wjmL?GoMDPYB4vG_K
zJ|m%U&2wkb6ylKxo#*0!xPoRg76``%<(V{v03fPwP~x!Y(wxR(;n<+uL{kXBqT&W6
z4u~0=%~&8D8<aQG6e<7_xIrlZL2OVyLNiIhP`ZYZnX|5COkO#?7xpD{kU9JBxZM$%
zv)td#(mL-$*Lz6j?AbDN7X96Mx-6W`W#2}C?~P#gCMIw4B+z<I1QhJN+C6VbEoIa1
z;&2V7-=;@R6D=O=o>w=)+Hn_l6>s_t(WSj|cK2Un@RMno|BRJ}MC`_wmN}5E*ar6v
zCq4f)wgY%e=P2GGscol3%0ixLJjBFq_{mpZws{MD5rE}y@(f`Wf3Y$-%L6kj$hDCs
zHG0JT>(K2&KIcMc3Kr<DlfL-M*hpK8Y%|eune3q4z2y&-)U))%!>nelg`LJcZp=hh
z=VKU~{-XN!J1VPlEi~)}iDh*vgbMjT1%N#HKaO(CH3?AgWcpJu4tBlV)cW#<_9=l0
z5&a8FKippg|A31A75<S)@deSnNcR=hhS9T~)LUGF;cnUlljT{soMpI=gKG~AX}z<X
zT_}oq>tjh5KRCoh!V+@R<s{O8&4&sYCO20F%Z+zD<?;5*8B9*0$5-J(zf?dXWnTSl
zvYuLv`sG*?`R$BJe^FiJ(-WX@XvXa%l=VWyL|)-j5cvW;9+7vH+W-@6gvclav&f1d
z+cx!b#o1f}c0qB-CeuG~9s51gG5-)^t0IjL=cK?)r3YBiSxe)4KXhG}c$!_2#`hkq
zR5pcbb08$lfE}=xT;ii~QhSEzQn^Hw6a)#lC#F*@tL#$&5+KG3J3q@~6`4c$<CyNr
zWzRogrSLIh&Ml9xoV`=y!OZhR!7NoZT*VwhV@1O(*KgR+kRr@R`<LbAq-G*)QKL<p
z25}x=u9Bm22<4VXjiMum@C0BNKb7ISfSI4i#}Yh;@R*hG8#|BBew%|F!t>KET(S%Y
z@o}v?fnP|gltvhK*>Zta)l9;l6j~Z)PuLw!;-i9b2}O`t*i9zkJ1EKc=vaHQKh=Wd
z!po-FdTDYiI$zjV3a^D+L-b0m2TNHWhf55^1qO~p#4Y{l$z<y^oD-~fN5&v!afHD;
zay|fkAp*S~&Nt>S;TwSP8Pbs}*+2ZIxxJj1cs2-|f1aW95>Hok=hO971t}?{Ca!T5
z5f?lc-<bCFGS%hy1jQV#bTc+%B`9X|NtpTGKnrG{y{FuX7V|{M<#~&8si8kIaZgCx
zJxPyssAPt@{8u4#X##FXogm-{^5Pp^t+b@albBtJG*kjTYp)M`CCB#>(_1X!{)tzg
z^oh*J&>WVV3xNCMig(gXx&apiiZD1cK;KD|(0m$!I0R>a#sG0Q&1EDIjy2#{Xaeyt
z1O`|OAdmsp`)Mv?VJHSzAEXIXfFUfv8VAE)X)YsSa0Xactuk%X9-D{Y0Bal+HJZ;z
zC|m*75t>50NQ4Gh<A6AaW-}HDM}YM*nnC~&)dQ??SZt#?jm5$dV4bEZ1Yl7yz#0d{
z^Jz9?fp7#^Uq(}?07PJbwEzSWV0{bCBnd-)2{%FDgVhOGE(dp_AYVgTMKx^o6w_;A
za)1SGo?^N_X8T%Lf$wkEmh1513v)I84H^@7NB<rwg|5c$rwO=6RS<Bj#_^43HGZID
zyYF3WFO!9>gv^Jm_V;*3%?Xv~OaG>TtAEkGbhQbD#i$!sL7=$kcI`b5rYUHG9k}KW
z-Fw8qFibNU34>$FeKJiT9)-XqcM$~t=L;^Tc_cvyvYb~}Ct#UF(x7<s9ipf=LrSHL
zqGm)sb(>@~eHk=ke`H=JRMR#GczBJ@1OEVnh^o52#&8qO$=}(Wl;=)!1}!`_`6H*7
z!zh1eVLDlDmX?!={n(sJUPJcS<Jfs6R0^F+-cA#6i@6}+5G{P;nM(NL-xHg0Z9hI`
zwPjgjZInW7B|GI-K4pA@;b)O^D;bSMgp%Dyc9vAKQXUK?3plOtOPZGoYQ|ZNQM2;0
zctpYFGd7PXoG}|AhvMA6m^Evyb5`zW3cn>m@d7KTluPU~ploWqf01)I&81u81%V<E
zgL=Hi3g%ewY@i9p!$Z=p02=9lJDcV{61K<auo+=43$)EN*?7<h$`v3Zc7}DDa|*Ch
z<(Ij=F8$9dr>DS%a1L^NFUNhR$nE8!Dwf-On($46)u%thb0PZ-59VRw*U~Z0Q{!L6
z?dl)pQNiat0R^*BSaGbYZdRSG=G4j~y$OeIFnu09f|~3h8fP`;)n|HG_)L%CL!6Th
z(+#3mFidm*nVy*#2xZR8%dparh=O`jebYZeLX}*-^Bl-wIxq6^c|fr?i~^Kr_p;<j
zmpt-Cta)Xt9)%QZb^Vc&B9>tDzTp1r$$ig;T7{(FcfmuL<6KF<_{vyyTJw~d^t%Xq
zDwp5<50mNtZ8hhg$1xX9B>UdO*z*_F*Qim+zF&Zbz2LC?A&!jM$pyo*hwz)(y&qNS
zo<N@jHcy@wa*;nUIrvo-4t@~<aC$Ek4oxln4V0|_@Hz#seZ}IE{Y`Q73xy^>0$|uv
z+0Ee_L%KcbtB!I9Ih9%sM&^DGrr&NWpHzKW+;1-#9_*^f;(jYDN?WTlZRe}7S&(hH
zj+v`Ee4LI?pw}h4yLdtdE+`k-+sU}ga24IQLQIP<6hh31ofJHtUNMqM+{Z&x9wUaY
zjA15qt<;EJY&91ogcmaQ{6%#m7NujCK*L^em=WX17)C7pF-ks9Jt|nSdX@eO_(^1$
zFHul+_%5%nLbo+nxOOYyx(xduaJ8+?Emiub#JXU-3R3McUXF5WOH^DbX;xMe44U13
zxk1}dGG>tm?dhibj~`5tr&6|b`jGlqhp#N)R~OhV5cpjO_9+Fnsg|E$SS~*Dz(2Ua
zQ_o$t&h{#b(Y7Be2$`MxU%^A~Rb^@CKFGjxF4pi>gq>qPJHfuoOZXM5IluAJCfhGD
z_WVUF+qtho!(MQhom0pZRHXonM^zl<&W2+udnQ9l60$vS3)Ic#v0UBWS2838bt9XU
zhgsenuqqJ;ByiUim@<DGU%-4%`{t?Kg59S*%L2b3xn_;25q`Nu5X51Y)mW)ylc;?<
z=7QXvkeiT+PJ1eMC@|-PTvUzs;MixkHUVFZN$O(_usfLlEtkBr)LJfdv(z9+-jOk2
zvSSs8Lyf?TxDoVOmXXLqG-t<jPs+*}SSegq9@oP({o(0xBQJkk<lzr<(OAd#Kf?`c
zF$Fe%F{^LwI<E?5ysGh)bZPs0IU7RYvaq7WH`K%gbyn(_SRK61s_xg~${jSx2lf-a
z+Dg&bJRi`}0q7_{c45`MY3_Te(GKjQb0}e(RTRx7TzIWcy=v||B?*W2$X=Eg#?0X;
z;G#{=i_G9{hVBL$JhU8929KmJ@1mD3*r;=4(!H(>nd2N8bNi6z$gl)INA@k~8b3$I
zew%}HWM{D@KXbc|PgFWWb^^}Y;MBm6K6gg&k5Ozh>2&!Y{a$mjJED`RdV1``dL!%>
z`qAx4i{HDqsdkb4^}kMp{erX=^og*ask+%K=g(JV^^q?e23u*q<xT_hp*gwyQS~wY
z2w09!`Uh;rIs%q31(<8G<lAX2i}W#GvZ82yXlu1uR4$k8$0lO?A7HLKtc8O+@nj`b
zG9&)}!&_@<0`5qxAmGUH!8gV_DewP)G8DY)#R*s|VWM!7)vASp7Hrg)PsFJ#jZ%4F
z`*;SYMUz6_KhNnYW6M~xnk+p`8Oc}E;JQ0{C1+ksX7r0#LKAR{m>}Q~F?{0@v02GT
zezw)VHSqDm7L$>@vw*8VS?4yIQ8%uFKvDTz8Oe9j6yl)>%}9=c;e9ldkuW&C`ghX=
z;!z09NG^il&q)3T%_9kdro?^%_g5!inM2Z`c=SCYS@QQJqhzuqZF7JJBU!REBYD|@
zrlB$oNm?OQk~3)GsmUKXz3hdI<Ri!)doq%Tpi<~+Wg|_%E#`uNL$vUXXDW%#NWQ>o
z%N*?rS5k8h%9khSF#IfXZY86Uh)}X^WM@ewE9JpZvVe@_9?eSyHRCMCs9AYg%t&@^
zVIIDW<l9NyDhO<FM)FIU#5S~f$G^z=JDN+k#tQ<)MGl!2Z0<QeOcU0uZs4ASq+PD&
z1<=Th<S)|PN5V$r1)HFKmnItz8bP@NWJE^tztWsjfR!r0%t&_We_lC#0NfgLkdgeK
z&@99T8{^;{<(?Ck>iSdRivg=oXCy!Qilo=?v>*Zq*9mi{A7mobdysmJ&mk|lHrD93
zuETs~baB+`T`e~O5*08;SQ~=`29=dOn@uVKOqU%5v-x1U1pk3+l%)gNni(}2L{u;{
zdH(v_*hnoD9fC!Yx`6PS-$5*S3*>`z+x^a1g4pv5SRvP~*Jwg;R@|3XgWr=TWR7%d
z_2uX)u0hl`PoBX$Zt+&={uqoUB#!W`k?u(C;t7^+!fH&{dkt)7dviwua?s_sx~|U)
zAdOwq>@qM+wrkXP0GU=&Gh1g_D@+*h+Od%uu)myLK*q(X-bre$b`LXLn&Uk3yt4^e
zFOa&&?_?ckRXPd8oiQP%#(3KaeOnIKUiW&tA;S-@6@gALvNCI)wSnzII}qLOHo-#<
zWjGZqDf=q!s)fGPxg2A-8}5VcF$lHpK|?u!0<hXnKse#yaQ+Bu)ip9Ajei8M<;Fyw
zW^25;qdDHMPl`8KLG^z*a>j_;7zn@Ne+j_<vjUJ?yhm}1cW|u5OAo>tYcE*{=F(+d
zvI{m}w&eo6qYo6Hxvg312i(5Llx~z6gt2-{sMU16+Xa<^DFFq$3s?2kdd;asnfqC4
zE${cyyx)(l+V7P{zxTpXk5ghem6;hQVI?(Z!yY;Pg_c0XlZxVxdYoZ~A!@@aX2KE<
z!6?_%liKcfzqYg9f`M(b3mo~7S{Gm25e%76XcDr*>Q@9KqDRH|g<6HfADiJJ%#E(Y
zANWdN3)oSABc(VSP#u@S8SROZK9(l2-D;RzWXNM6<BU;%QGFv3bqu5l4SQi?nS~0Y
zLS|tBB2Q+aquk+T!lE$CN{fO<+7$AovF}{LB_)7rd4W%2MISlm3f>6(>XPf18t=f%
zeA_!&*PZ%-uXHN3ew3ao_=we<pJ^N!aX9LOj6Hu*T`STXpm6BfosU9UFE~sqI5LJ2
zAkP(iwMzd4{FXDqAj&U-7IxDSf%s7sx<7<UR3=YlTz^~%SL$5B@2d1q;0kVCJ0A+)
z7*g#qX^wJbrv-A0R#p-Wn%#c6LA#@5%pwiiBj8-Ykq4V&<+lS~RhD*cEi~m>2jDA1
zB1mo2eE)DuEIVYN#+}Xnr&!JTnbz#wNsK*z(aQRG8Z_($huJxWOhHu&z<5-}QEt!A
z0w_>t=Ujo!W4XEwmJCTj-N+{8xq=G<lvtcAz$JcQ3gro`=&XGt<2g|xEY1}?3oDiE
zNOB)l_B`bw3~(JXZ;s_UT&`S)=v3U9fHw&KZFid6n=SC0h;s<w`@(%EZa4UOC~+UX
z+J8RmeB^@uu(JZw(rqzA&ys>)9H1vcqESR<S)wCPLA*PrdvdS+4y+U|*>iFV;+|l}
zt4<ZJQxL|Mn#~q>vmtbyg1|S_G+J^B;`>(h*`EuoLm2d|sQOtv1rg9u?IeOyZ?-u2
z<=ppDqaE1A!YK&Rd21a611Jw8n4Ma9h&l3eFm#e|Xpihwe__lVI|JTpau#O>?-NV~
z{GG&wfiQSzIid_6NnM_TkX~6C#G)(R1%5#=>@uXM44LB;#0{{FpueVrCHN_bGhxvA
zDG2u49GrqUU1gA0Is(BCI)opAsCxe4Z8?{wPjgf4Vi6IY^|KF`Lhxy8wJ%*<C$Ij=
zjz)G%@sZBXz|y8+xSBK!^pS@vRo(3Nd3fZZaNc1+$$^ASdt$;ep}H1-(jkW>O|Tj3
zq{H~$kU`eLVJ$iR(LSo8WS-|=DI9PEiI*pHa2Hex%^bXyCg9HR5Cj~VgZRc+3FZA?
zCT#*2lHv@T7cgb!jaHlf=|^Ax5vLq-Lgl$KcQPz3lI|=*j*5Rq(z8%|tXWNt9;QPM
zpQEvLcl6Voc`Z-Pf5_pRGy%7K2?7rJ!Z#lInw3KiKeO7m23|{&36(W<zk9i?{Zj!~
zfBxSeX-3_+3Iavda~*P6_9zqTJ%%FmkV6a%gEW(oFgQXC>u3V;0ugw~p$LNi48rL&
zk0c1168i}}xjF&M9Fhjbqwg{K*CeB4{xxlLfCnT0y7Z7kkLIL8_BChF!c&t!a(dYd
zha6r)_SmyjxdkePE>&Jj6L5>UAm9)!eB+r)v_OZ$RyqP7AF$fmb6XjB?fQEdeik{m
zlF>*+DB0J@&XP)2%7dX~0f!uZLi18V%{YrOYF1tr4>`DYFXkbKx&MmeUrDqo9Bl}l
z(*MN7H0)%<0gpEI(h_dBnhOF&ZFPRdu||{7jB4O2FZe5tF+e<?<}wlp$J*u`nm{}Z
zfoq!r2;`BCEi{+0FciPyxQ!-I0fw-zIL5)yr@4%T!TA-(=hGzOfe8MJV;mH(r1^}5
z!j;JI7Meml5}Zi+7BCKokJ4<$0^#_I<L7A#0YFs$ienrWKcG2{#RC1zR%-6Q&=dl&
zsQ4AfI3WH&vl$D7<13C!A4AU26@Uo*iemu?;^5k$G?OF@L7U>?>I6zxjPhihYtfij
zPB()SXbw)sHP8<wPR4OhJ3DXnRN-=htpa^AZcv<z!|W4&kO@*z>g?!}$~_^=DF1Kz
zBm{Xdy^zLQlQ`rX&#ukWzzGBLJkcB2`0m-kHGb5q-C3TWyE2cK<p<Z6QwP`h8M(lN
zYs=NKILE;?G2ZMPWWd3-<&Y`wIJgEU)?yE?EiWEi6DR-T4z6ME;FB?sRizHDiNk-<
z2iKPC2iMr)yIDWD_Fn>^PA)!z1t2$fS95cBRjj#7w_pu^aLr|1=KI05g!g-_YQOQ|
zTHf!yaByvB45u=gu7{O|MDTjnzELz!4z9gC7!f^@>0GE)IJkBjJoF^2<152yYk7Rk
z<0INJHF1bUd!n?CWv9K(YS{8RnJWx=MCUDxQGZe0d*nE{_KJP>fdnP^@0M&S%z}7(
z_>8$lNZ$bzym+y!L<LqMhrNK6Cx_ipuJl-%0x#$Un@u5K!un3Iy|@HfEd%{Utmq@>
z1lv!5UtNU#;^Q57d9vdlSl68=*zlE3We-oV{myF6&oqvVIKlQ?#-6{Zt{&-KP&o7i
z+kZe=FE~sqI5LJcAWyKZI@E;A&$QM*0Y7Pim`l`uf^Db@-9w>L@CmjUTn~qa<8h@<
zusxwl{{*fOv$Jzq@r@zX9+T!MS9UHfw`gT0VXa}eUvALuEzyNYgZ2nG!L}`U=)EE*
z?cComfp^+Dd}T-ksf}7-*L{L*r`24L9q2Lk{6#C<x!usP7aV5i6fy->DFEY96-T*w
zcY@94v0UA@mJCTj-N+{83AUR9lvt#{<61v3{r!4Ybk<I=-5n*u;so0#uu{p^BzIP2
z>W(Xii;wvvWFl~R!QAeamj%oFwV2+qGYek{5Ct)4h{7xnTI3<E2V=S?_m%&KmBI%P
zE|-E2*^W2Idj8MRxIXc^V9+$Rvv2S+PL?)#e`bROlR@F^4!)u00;sbHyKTjF9<>+x
z#mI*C%U<=^{UU7@llea~jQj(H=1<5x3Qv^Glhoxo9qEjTI;SH83`&+A=XCA@V@aRW
z!4mwO&Sn@`eolw|HaF*V;6wB~+Re_Kp3@ODs-Dw1qmxK3@ig(K+Gw*qvL)HoyZExJ
zJN4=5qyxuv>QnIjs?k=by|cRsJm)>Q_2^9Yxma<KVXvN^*-ok?eR^h0)tz5KAT@~W
z+{%sWFcO@VQLp%?LbNApc4SVf9ja^br)P3l(mpn0ot`;1Trz|}yju0(QJ%V@V15K-
z5f+q71OA8E!Hn#nCx`S!P$@Kr^ffdAcT`vqaO9BU8)L@F`?{u}WW3|n{siVEM@bWv
z_ghr_c3t0T5C>o!6w6an-pydPXuDHQIbi;YLQhrxTh^?05@t=o6cyxXrCvnJlljm@
z@Y^(k?p}PIbEYK&_>Z~#BTc|9SAu{;uJDaVt`=f)8FMHVC5gQ=d;T9*OV;>le(gZn
zVKmC6<=+{27Bvdz7-=aliy5~ri)UusY8Q7E!E`NwYloTRV)ZW`O-`g7&clE(<?<66
zCG$pHUC%*F{{{wU4)R8J;h2lO5kAMTbcbgO5iHFcIptzpgG?oOuOg(5Ou_ZK3H)fn
z9m%!H_V(r&Ugvv-oGtm11!DCor=)Uyr84OSIKU7~3?66f@4U-5QR|7dYyi#{y@3Jv
zX5psH;c~~r@~752aCs>l>F!Ent3Oicu{FvyG0@2!>{VE4NGwcdEi!sCE;nk!#!8o6
z=DCxvdQqHE(Av}RslM^rSa(P6yRh!^EM2*DgS)No0?&e4h45z^9(ux`_{x|UEVE?<
zJhD|r&*jirPtDPLkww67;BX5m;ygDqhW$nLnZ*$X^+!K%g@(OwG5@E+s^I@DK;`j&
zI?Amrkq-q~R#p;BiQRr~hJCTm$r3mb`M)e@cB;vW(y`AGeX&#<=3BcBwN`&>8(e-4
zDu7!)yvUZ9V`5@Szqzy$(Jb?!!h{)tdw?%pPW`gs9bW1CzngW@>HEi5Iu$y`nJ=6U
z$s7x%?^%ucS=J=~+l)DXQC;%W*FoXX2<H!=tQQ(4`3jeU<QHJ^NWP=oqrFn0#y9hq
z0cp3}ESL6Alt5UJcCtz7sh<dFRXD(K?g?~&UBQZ$Pnb(O^=3CwljV{t_@4?xrXz<9
znbPZ*B7{Kr=^ulYhSJM{5lHs}zKy%DvsF*4Pxg}wI-NE+q?U7wuTo62mHJyb9heUl
zi|O%5X)qm$;SyIulDB10`B<n-ty-~TVid4rL8D+0zyU!E062Wlv9h^OdzLNbS;=Zt
z)ZePlY*;Rd>98D@Ct;<M^@|ohS<Ou?``SW3mlON3Vl1=Y0Ji@vhEL`cemaAg7Bev#
z*q@-$7)(QTA~F#2teEb}Vc3b4!iOPx`}fjdrm7l#M+C%JBQn$fVm3PDK(YaUQF%G3
zeu!MufYVm^8=!a~qjKXB6$OynMKzF)D8TDL@98K2mf%r<&qCLD6oCCU2T_1c9j?!n
zVgT!d?xGSDszv~|NDgsF#6D9I76gFL$#k|uJb(oYF(80W%_~`k{Kc2?m11MB1_thf
z!PJ+0rV`MBf$yuj*~{k9wOVr7ZG{Dvsv+k=0rj_<71(t3bJeN%kU$Pd`fu2b6%u&j
z9tew&jXXwh7}c04ojcD5RB5?P(Vmz9?6a1V2v5l1KcTy!A%oR40k>;c5OBD5@r^FQ
zjl9<mx4g&E>nLfWaum&Uyra@VvD|A}11<{dKerQ@1LmJq^pL^-&qps8uDJ*qTtp-2
z?!|em!}>i3{*b{{Gy%6<2?7qe!Z#kd%6Gn&y9jpGj-BvzR!gRht#C^Oqfss`+ZlKk
zH45j7(y~0C(+Y-X5x$c)hyP(J)@?L6Zgy{FJqr_yJ81%Lu@D3tVu5cwV!?A^JQl{4
zDDy$9Eo-RajS44HE*bA-_*vvAsAD9fyetNjTyv!vOj=o38`=ISP&c!XDO&f<HoPXW
za+tsGf>|3?E6C)6BnLD77Fg*y2r@m0#$N=P_^O4)IKCsM)zTo-MR|}Z4<%iR*)I@E
z%H5!~7Wa#``#toL*5OSLKS?-IdkTA@f=;v6o)U(1pTj|C2h+a<%LC$pL8y7TtYyRV
zC(##Y2&&w7qlcS>`&oaapkqto0};N^51mTa!TwljNUVbkjx}f(R^jm<l{-tVV_jh=
z_PIb2gOb4~ltB29Cf=wESy+62N*~hwSlUWhK%qS`kr)X^LiaWQ5yq+zlsXog@&u*u
zm5#S<_Vzd^b)H4Qng}!tg$_j#lscO+>@TW&Xrh8r7eK>axR`%NVO4O=7ohUE<{jmZ
z43HKz`dLV6Fflfr+<g0jQ^%CRiX$L`Q%A9)ba3iKzWe2Qhu+}Swghc6FFNkh2{RTY
z)WUqIuwgdh2H;JXS-+fkhgt@xcCl_c1624*r$TE+zD##6%U@<S=4V;cg4-B#{-U}T
zq}M><&;Zr#P}U0#(*lJ{K?@47c(lM#?l3DrWlDw`<BTo`l5e+NF8TcuC?h5RINWK}
zcp83f!v;t~=r!Ro1GN9l_+w&%oD^IlU%FHIGVrSlpI->P<0wV^^Q`Mm5yw|L6<Wl#
zEr&Z7|9-1EKhv6!-^bYV7p*MhKY@n5;4mRq$P|RU0E|b-9pw%qWkC~ivK$Dx-FCT<
zf3^h5f{>F<%4qBn0j-M26RyJo0}-nNS`~o^x%`X@M93|LS{6D25!V0@bRYst@Ib`z
zHTdm|`@#?Q+Z+TU&SW2A0IM-NK2a$caeP=X0v4yEoJz%j#5IqB6|K&!S|@L+X&?8%
z9rd}pdr9}=%hneUEnK_4Hl9p2r<#zMwy7rXS>Fm5_`sV6@Mt`Sycc+^FE_M0__B6J
z4KKiReX)dnbOhUlGFzb)#(A?f%I^xo?}4``;njup$u87ST4U{TSg>gAi@L}3dlMT@
zJ%$~vn1-*0*SjNQ?M^bnKF>CCK75qqLQJ&d=6>%6RxSqN)a|%wP3geO1*&fLig^@R
z(WTT1uB^~xkD(27oAFE;S+-idMs+Yg$dZGTUX9IIL6%?sKPCA>vUAV<6DoCIG?Pb8
zv>kBSp14Jhr6*pLLZ#4n(G4^Kw*yxYa5!-Bjjotlyy)0)Qz;ND`v0BxBfs3DX&QqH
z5rE+Pk#8#i?f(SETWK!cKnnszARPB2e~2ca`5p8XCUNd2@P6b12;}|9U!b{+gkgm?
z=UV4vze5v>hr^&%?w*c=<!3avk+3+zpXL<tJDOZPI1Y*xAR;bEU3P?NSS%%{0J0YS
z?nn$bX;x7U2R))Y0qB8!&F6(j`&M>E)2~XhS1^$e<WI~odK}$jcQ=lNN};CzB$|L5
zQbE9B`tgm&^sh3OyI$+QOct|L`N>wx*4S&K6lmFULghkwVF6LUjlY&=)QzYh5M<-8
zqY1<#5oqI!AoxGO^IV!o3It32C=s`cYCR`4^<d{ttDvS!crmG?@=sGi@1#5G=Kj@C
zDO5q<NfU4*DF`?e6yKC8DDEwz74$P!%X?Kp?<yebSI}?MjJgpO1RM$qU|FW>A87)b
zm<F1vz-*Kv2z~{9h~|+3!O}WP#I2%Q&q)P6vfSrU&{i{a5)e;0;7C&wEO~WzYc*5~
z)!Z6Qzzwk=;Lu!rGdG%hvemMMgf?n{@)|R>o>)NCuele~jJgpO1cEg8YMMYi5`mgq
z1i`PlDa|7Vf~Ah6h<hXuvLS9B*k>Pgk;Z~E<opP~nN#C`CmAI_x<zXN@L+s&tMtou
zGc+d^KDosiwD8o#gEVioZZesS^%C$%w<r5kEyz|k-L(bdw!d9Nf?j-Kj=_7#o_kzJ
z?|@37M(&d|0k<>?0uB+wHy$H5pfD2f6gArQP0(*zE$*>#3;lrDR|_cm4ckv?Cfz6s
z0!0`cexcve1T@JFH1UCZh9U@l!?yUb=Ga>!MS)-`qT8_1QWs&^hDb(9!&b_JVc7QF
zs?fq;P1W8=b5X&lapo*6HPIlA+Ftlv=aa}DdyLunP$|@yJ&h*dmOw$kVa)K2$Czoi
zx)$}<^?9#Jt1U}8v{4FF;Ly)|H5h&tIk$q*NJJ>uEo5g&1uNyjP_Tf{b-tG7rGlDq
z7AvaR5v8Hp!s20>tRfc;`2*9Ue3<O2N59_B<Rk2$z-MU!Zv7Gj9QuWCJo>eV&c+{D
zEnDIruWd0qqVE(C^)DQLK{M(`R1hc{9>>Dr4>W;zBmx%>MG(|f2mu09ZdV><%7Han
z6bP0Uy6qY*ff07?D3Vdqu9fm&*tMl1Z9{6j`r8EVWSXA}wvDrCp{fZ<aS2gg7SFO=
zpkh^dN`iToWw0ze#ZL2sunSqogz731stWOCl6HAS;&R}pa89uZw7gx-g<p<*dN#m2
z2M1rCfiW_1@P%iRu#*+%iopcUxqCtGOW-FKhP6v4&btE76x3_yUHLTr*|27-HrD93
zuItty6$x^hdi_qTh6!LS9SKe!)F#@UDLnFm8CLaPyQ2=h%t~8ICeml2JU~uvuvj1t
zc;IE;rW>)L>5Klr(9He4YcGibPo8?Y6)O!1D==%PUWQdtPi+`7-`JIF?DPWUHe*_|
zlt3;{)?HH(sXT8F?y{c5+k;w#<1KH2hp@3ZB-^((Y)y#x%2*g#Q@we-h0VyqVeVJ~
z+-)^x&90iw(ej%=!I<+G)i)_oM_E1%4SS(s`OONKLVj}r7EgY&qujx6VNmuU^ArFR
zVYil>UEhI~H<f^=Wi-E@6{QcXoTicsa@ihh!2O8eg6!1#UARXOuTo2<;Zcug@WYoW
z;gTP>u&dVO;=-G}@OxlR7el`|ct=#G^Z%Ch(<$uuN~dDa^HIXS;%KumKg*i1FM~?d
zT&xRw`Ym8L^u)?4XxIx46Ly75LD&nhc!b?i?s0+AkxPGQ4NwQ0Ub#B_nvFd@65{+;
zh&pWKVg3B%7TS054DJ=gMTCBk#i;}`7eH7|`KJPerQn_yEKA-omg0XFlQ5_F<Eseq
z$7r>*^~K2bHCAIZ=;GMoRg5`*(aPfg3~1O34HJKbOF{e#uz1AZQSR_Efl$Mol@<ko
zw<(kh{OKitM%w>#?BG#tn0-zK*EwvVlYfd?#G}NC-sw(zEa}4hz$C_6^b{jcLad4}
z6kbd%{ztHkdB<L=MaF<~ss+9ZR}1Z0H8|vj=vXVNw_45lrCpmB-pttZ7p<%qZ-a)t
z;4sDD$QV-}`7yz}tMpI6zbA{!uU4V^|IHPyU$2BK^)bPJuF^jx)&;9pkZO-rbCf%x
zT+5Z7W&wr4ve{J1E!!<6BNu7e9s!>eJm7Jr9r9ZPuR=>}w;G!AZ20h1gtf!NUvd@T
z3N{^MHRoqqvvx-@_WVUFTf248uooO=?G!Qvg((2zQ5Z+LdG|>{o5yl>TTwD31$85v
zlt*J<8?YW1M`O`h6L>WCg{)}#y(;PsT(R6xe=F<7RvA-KA}p>dPO(ynZ%K1cF1uJb
z8Ko}e4-_+5{tPVUb7Qz-7ot8pU<d`+$o(vX9eD%poiW{$4!t|DQaI=<r^l^hr}l;)
z)`MmtH5g1XJ`l`gRf}bjr)}4J*r@r<Cg>;=gm;#glQ-icqEUiCtGzgoE?vV>2hydh
zUk$M1K>D{p^XUWWSb`r&|0#5hA4q4veQ96#5<Ma`%4Wa8#!AUuV??GX!l2`Iq=!Fe
zX1H+#{PI}%UvpY!OX1@!ohDpqeJvE&nw`te*@7?Z`hL=@dMN#*@I&c2rHTjBvv=DZ
zD_{1e8tn00r^DqLo2@FRE<a1oTJxL~XUD*|^x=~?TZwSn`kMX{zU%_%j$Fz9;X&Nt
zy?apn&mc7V>c~_!`k?q9RNd^3d3I1-mmKS`_<oj1$O)?O+%%0VkD-Ce8ZSw7-I3AU
z=fTvL1C_48W~@Ww&zL)*<lYJGB;IP1mUv(3==G5#BA%3(wNNQE<?MKxfID|V5OAc#
z;2T}kwWHU0n8(_%!+hxo`&?+XWGam=1^P6(=O>BJW#C!V+<6%s2LI$G#q(7lo`<q#
zH6dAVd&RW7FA7$%AVNhaSD^Q+NyF;yXu_Ef`mEnhnt)rN1ObOY;Tw-Y9q5=v1W-i@
z%M+kXlk*a*eQV(Li5k8!Ix*g!s^cAl-_Mr9U%lPaaP!E$OaOauIaSh|$#O#FNffsf
zaP?<ey^&_rjjJF~gu|7o{$83wJQSgs>M=0fLo*o(gTwB8ohA^E0;5qy7Wi5PtYabJ
z>;alb5(G_&{RDnfoq%NyNrU3i_lS(PWy7X<Fx8jLXrpZo@L*)Lm7eiAl;)&DE*odi
z!c&t!a(dYd>F|#yd+b@8Y=laoYm;+m0&X!E1RSD;Z#+{;bUOUiR$HdrRal*bro&&!
z@UzIdm5fFrLdkk$XGtY1<-t(0fOPm5(7aSoGtOd+nw6Kulu_4)#7r4IV>WiO#kqYk
zYt{}RlDJh6SV5(HVtW&lSUo}CzsUI*&81u81%V<EWQwb~4EzF3ShKo;yA6_d1<=U*
zjP9kmkA&?pUhjz|Q$M50#)C#st^gTvk<TA#&MCl3m0zYjyYxS=oIV7OojFK(UJWZZ
zbV!ba$CLX(SYGY#g&PU1KArM>D*xmk<TtAnW=Kb>_e8RDw+8n;;%)x5?VWaix|Y<(
z8ns??D&c8Luvo3$fYQkH&~-3V52laCe?o7iXUWa;+C|0&;$YDy7>Kz~aNZCDpp1tc
zi<Ok{z+%n#UZ(J7=U>QNubf?ZcBh`K`c&@8X8H5ZT(*ep<#U7kqsKfBf?9>_<ul=-
zCzy?|bg{GJJ4RLucU=kRi(@-^wbhula?@-i217+g+ZM*0zo<S3MP)BP9UAsR!$R2#
zmqIAJ0E;J-?I;I!y$5E3r?Q&@p_D!&3V|)KTg@%09Z-=0t0$I#h<J<0C5n7t!0H%Q
zbk@SeFNfxIS@VxMvMa*GFU3m18d?&6l5o9|b&RGj;6nPd3|C~J_mfp%`&blg*&#Bz
zKCDN4*ZDn+vb?oQ`bIFXx>~1`P%SV|TZ{42%Ki7yCNp{q>=PUKMwdg|=9R>>|HZ2A
z7o*C3G(+m4{aj}ahTYF{GxBAInZHAt89@Py(hHJ$D&pR9#ULZgbfvrCKpU7#x!zM|
z!V&jo61Hrj-x|ZuD9jj<we<54*=91x<K9EZ%D6ZCZ4Tnzm$HyyFWJ=_t#?N;1$MMO
zf!Bq1D_zTeW_SeLMYC!w{AvDPsCANvipx{+THFVEE92lS(yih^!szVP@5Y`CL#~?y
zQw8X#^@*x(_CM!Y)Y?7TR{Z)g-eF`T0oITxp_Vi(-RA-YMf^qRIgIJ~*o+m^9*Gkv
zAw>C&v9lPb-b(h;;|snTDuw!jn=}FUj$IIN_=53`F5K1Q)X%e8GS#GlV=XXV^lS#6
zMa}I9<}mo@4Ly)>C2LlTQ?I4%ln|;sxgo#YLu`uj2c}}YnFh|?mDh9jv>=xMYq9UA
z3AjZ@5O9bLzVV369^Urx1*>IiP_;dxzIvLa81!cgi2B{L_tK2I5fucA?peof`DZkN
zcq9UqsR)8UHu^`JM+yW>1xXS2NMJ<R=78f&fi=a74BOCJ06Z9Bo6^|mQ8XtNf;OB%
z3r|fviYBeRECy{{Gp-r5sdx?Gc_aiCriswxinD;QIm!C<`)M?jZqXJ5g7kZwCZG*q
zprs4c?;;3({oYCQNP$o)V=^}260^K=x&chg9K;4Lf@aa(gRud=o@6fRjl!UTTGO$C
z6GdzQH)nXq32ay3n@wE^4NTU1%^ivK@UbgWYTf3u@~A+Ss%p8Az6ytAFnt9*GMe;o
zr`FITW%I#?;pL)tpscxf{oo5QzyjY{PHN3=?F4@NjEc2*-sZsl9S80$vB0JO6Kkx!
zWFerQ^R*Wu79We@RQf|df|Zm=gSDe07LQfiCU?XFU-M;c<*x{THMkqPBkN^Qs}QL8
zGCX8HyW%w~_{vz3S~fT;Q1O7(n7LZeCn)rIi9p4V8FT)kx)qNKRQwbg_Cmt~6$+O^
zprQbaCs5%ix4#~!U~-^zDJ#AM<*?hxjkqr?@r4q|G=Cz>b)Y}-gRJPRg(Zg8o08=p
zVPsc?B@V?(!D<*7mN*U?rS3M-;6nPd3|C}W;=(GhofidLHh{A)yCX_$y)C5&-<0bD
zfvv%;={lSK2gp@u6oQkbwf1T@M!;hs0)cNRV+M5`8^-IcT7E&T+$}~mv{!b#!R}SL
zeb~Yf^7lg%c$AzdfhVcUc!Qkpqv8#64XO0s5pQ6!M8+Gi1dlho9lFNP*|Fc|Al`7%
zc+!JQ@JHEVK>D~Ug&Ix^3N^UMRgE${-PKrrg`5a5Z0k=<B%M)Qhi`&gg?jM0)f0|C
z@uc;&sroJmu(T4m_n$vL@pu+)fc3nvDSI{0a1W`&bfDpGRX2P6{0TI;hG&L*?{AdH
zLbHS1rSPoiA)c3NF~TAX-%x#zk1XW4rC-NptjNOYYKdGymV^w=Nu1$d$Ub}G3=cph
z(*@#p8b3r6aPR&F0f);D-x#x6?kH#T3iFW{XK=?%w|s-yl7EKKXF9@3%xILSRW1R#
zg$0<~bID=wPcphw?tVTdxsW`{W3GfW<+!cT3bL1=F2*xcOE%EBxqGsXbz09^_DjqY
zX##GE5d<6(gKvBiqb^T#NKElEwacxR_FQ6+M!Cd1g@I>LBXRb?5aH`?k$ok7-Skit
zeBC&OO0iqS{xIe3Mw*ifzHZK7MYTH6G1(VXYCsi|J=30;-MfSAp2q;cf=NV}I=zi1
z;8rI=z#&KYW_Hx+ZmT6rz%}n<r~wXBr;ju6ENX6bqG5<oryr7iCDo~v2P1T}?}^7t
zk;7k2S$mM?qJk=M=3-Q-yex)|T+1mlY!o@$uNX1K)*Ai_!iJ0ca@)NW=oV&sjhdLk
zWgNrR?;Nr8V=&3jK^)^-xONb648D404)jlmwHC-Z9mlxreAxPRrqHP_H+~q-z%_5T
zwzJu5z!j{`R<qZvPu8BPOye`L%w*Eq4ynw~)Yc%+6j|-C3^^{M;at|^s)4kPSi;d5
z$oA_sdy~m1oJmhQ(5GbP_8GO&SfTYnDx257pJuh~7d&)CoPwn}L(E6LLc>Vwpz+wz
zf%H^pNAbJLKv!~1Eb%VgBc2zGXq>_y4*qhHc6)V)9s!$ArXt4)q(DXH{`ARY)UXIA
zauX{JiB0LOU9Z0vLOw4H?yc@iJQivdLO#!jhn|oRzA~0G)=nTQ<a4Lh7_I9f<Z}mO
z&R<kt{6vL(UJng>p<y8(g-apiQ-H-2@^O?ahIP~;#2xan+bA;*gXxVWkf9|N7l=QH
z6{YXff1)<|<hO|PhjM~~&yeu5c`S6iErB>agz4+fo0JX9Dw6h$X9^JJcKR-`sEeRq
z6uhG;ZxsC|>n%*2#n>jk(y7=75-dSiJ7b6v6nDZuw;J=aj6)#={b!6he^Fh~(+@!5
zz&J_zAe8k&!vtO7QV{e4EFM93lzUvDgs9QZLTkW`Y11oLim#Qx8>tjeR_nA}C0hNd
zZSaK&T(+UN8`D!z2Wk_Y_7wk~Prjnlbc(GwtlP%5^^(vK?TJE+>Bo^9P0963kXHz#
zeyoM2JQD%Fnl=46#cIsYvZfy=G3NY5E9=K;(6AR8rXLEIf_@ZW@#u%6+$mMXMGb#e
zxe3r9o1=0K8Y~%rf(DUI%G-6H6`+^m93ZaM0^^Sptmv%eCp;%gV8zn%Sy-uLX{n`N
ztx|hKe$5vT%vewJvA15ph~5^%B)env#Q`HKu*c5KGWL<l4)2cXp3D(>2UZFngGjH*
zJ;5whHBLMSfwoR}v!U@DM$k((+Mg&dCl4qiY*C|4tGYN@D0hQVk$&lAQKRUH^nU=f
zoxV{QOYlhlL(nxI>1V&qL8SjY5ojGtCMQQxmn%j2pAZw}SEQ;&_>U~`j7_p&?86zV
zUv<2>>M(_z4%H8+y4h>yU8r6gFzYDb{`N>nhg9)}nhe-F@G#Zi`0#v=RXT{xSmF5r
zB@CRIJc??)8P?9VEy7BYdH#pV@QEbDp3u$+R0@r)pG^~Rhjs)3M`#D%7)#(hMjSbB
zJk4s!6l*>ARi8KZJhpxX1J9!74()Il{AOK`tsm=Zw&=ufVC2FjX?qm8c;3T=<+H;&
zEh87Me&^_>i=eeRh+M2iCPn0eD>ie>E)kfOMlO!Q0K-_1e;^LjxrWmj+wiWhO-#1y
zz4f)EH?~e45C|@>EJ6Af<Yh2@vtUWC4J;wmq=_$QhUU3ZXE?th$GPbKF5jFihpTJq
zQy4qyN;|4QQW!Gx|Iru#<?{H$SZPSue2@2A+oGI;COtpIa3wpBQyWjZ&FwAtlqPsO
zzzvA&7A_}zCd0cP(1&4pI7+97zYp$^zC3<C)G9c*zXT6GehqwO81+4IaQ~y#7%9Zk
z?{`0A&R<lY0-_w;{{#(tp<#Xvg-gM&QGmtc*Km|u7cLe`g0qN9U@UB^xgmAO%LdcW
zmw=4E3$fEhoe13fd?27zvG<XtK-xEw<y73NBJH$NQODlr_rL?a_rVf;?=yUY-21TK
z=3wu0A>2tms=k;D@!{>su1edVQ-iiY4r*0*K$kh%8dg1FJ0VDDK4$$f>ucBd+b}D_
z7lpN_Y?t)ZdJl|sYb)eF@bjK~`NJRQ!1(IM%rq+WcIgaNH+$Xu*)BN-rI6TsptBHn
zpE=(tv%@CNr>c&}@0)Va(#x<JYu|Kixcu-bQo9EO(zPd>Q%#U3P0B>6eB+^gi(1AB
zRJ}aSfc0~N?5AhDwGAqTZnt_g0rz%G5O8d_@Qp6a+SW31yLGG8lBpJRx7~UH1J9!7
z-fqz_L}b#vjqEF#Nmt5)kx91@OrczrvfoXu`Z&!;g<Lw$o`2rdccg#Akk_@zWwVRg
zq)N%24dhSE{(Xz=pGTX%#@PzGP39*w0k<{@0uF7$H?yNnzqeYl<XhXR=_}VgcV7IK
zfoD;3YZDDagf<;`qKTSGoz$jM9%8iVXqt}-+Qiw5(WdgU=-+Y8h^BvMrDK(3ZMq;s
zW2q=*O=9PhKvXd0icWd1>e)csoD2Oon_Nxv>DFFBpa=$=?@arX&;;g83yUE5Z#LOQ
z^GJbEDs0lP=90I(a(XHljXChEU4gbp_|^ErkNJBx3Da2WS3Ba|esgjhvO{2d#GNK`
zu?IJ9BxBcgl}9b0q!Ntu)d=`t`brviO*W)2ZQif=8N9cPegV95?oNAG42II3_I9i^
zB(?$`cUt<#<$3NgEX<i_?5~Aqn%C_FwW7~mZ|5s{fh41CNv%FU4(>OWa0DX77dF;y
zBB~X&w#lC;5n?-qF9i2pcQ3shY85<hpM{4W&l|onRwS0)voh}RJb~EaILzUFR%7Nw
zt<MYS=@A)sKVZ!Hi|Xr_D9_uEpkXgG%=4yjDR|xruy{Ogj&f^Dq(Y5yR#p;>h~0i}
zRDC|SPnW=n$cwboyI4^=?esXc^sa5#P`h0ETu{iv1YXsba^qdhAM|)r6#XLM9aWh^
zw?8z+1b%Vtfg5kHS<4rEYsmZ|+1iqxX@gc$5(dp~zkJYEF@F6WE({vkq)h7icz`Gf
zcPrY=KzHj~16mdCRykEfxm)G*txUMX-TE8gfp)iI3GQya2C(I+ChWI4aJQZ{(QJ*6
zwt9`x$@W+!KkErWepa1KRR`;BdLwwD4CIKr@1n*pIM+L4jZyd{b!WG)OiSJ-as2uk
z#Gl%oWOS_E>Lz1-yc=#)ZCkrN2_D-moqoccv;5;%kgN^GTfK+HKYP8U{-)Z|{@E#2
zH+$v$@z3gGT5!y+G~aTMtocw`H@5J&QS~w26`SLeJ`bC*T(MJoRp9snO!Ge-Mv)h#
zbFc0aURusu@=p`2SCU|PJWwx(O6DHcf6>5OXaer-n;_uuK;au>?#uhThxZwO!fM%6
zD}C{&ujmMmRLnPZ|5pJ~zgOU^G^1`r1p#Yy3@#GaGMFZy?fe3fU^L2IBSjGWUV&fH
zJW?Q7YY(^ckCwm)=iic(G=Y7^Julpc{Re9TQ@%(qU@0?(7qIkV<45Z(6*;Nk2jmP|
zz-n@$d)05_qMm2}9a%n47i`-~y^geS=0nrYoj~^4W9K$NrBFL}7EQn{kb;22&f%N6
zv2#~hEt_&U$9C@W0-}C9*Pt17BPs|4*|{Aw0Zo2q*Ul9|@Y}gtXdWpLEOm6-Ia&fE
z?A)73MoIHl%0rxa`w-1Z1@p!kwD8o#gEVi;^DRcfj4j|vZ7>bPZ>GWed$JcEgY_k-
z6l$=3NE2{NmLT9TSop?cu-MsF=5=$ZW%1nWZ>*N~*g!G*<;#x;8F&^ox7N@wL}<;b
zCzz<2)Jd%=<-yRJ1?t8c_|25G!)YEW=nH49qP`qnvJEdN(E-H@az)^JWp@5lvhyA_
zI|(X<s@a7!0k@h70uD99Hy$;M{v7;&v)VF+ufj?o^mFjnF#IfXZcU?+h|sj%WM@fD
zE9Jq^v_<GEk^;#8Fh%agG$$4GjWZadZ{=k%4Da%Wm|^(+-2Sklop*lT{hcHd6$CK&
z^X`AgBv8NG&A$%4o95E3!Gb^$2**VaU!e(T3ysiqC{C*76J7xX@^kI?(_HR33=h%-
z_8ttxC)oc=^GJbEs&X<J!KHP1<+K6&=Q&75`0uza7s&|R^~s{;sqnLarKPVYd-9dc
z+b%w@Qrpq28~%6rG&^Q0^!lAv4I&NTJRgUo1-P<oXQK(<3SmC_T6=7)-^sHUX0u6U
zg44rKh8c7)9m0R2KGQyb9p-GL4iz1Og-QM;md9T_fyb^o5Zj0U;ifpaPoz<A)sAT$
z!;WK3*5RW#5cR?DwD8eM_-#9|B{{`Y_kkN<-Fo20JN)%?tVcN3>tnG_kHZ@LOD=i8
z9Qhi<vwZ&P>=;gE!p0d`X-EVNW-Vc3J$K*d*%}wOru#jiU+YBxo4dipm|16|q{Cn2
zJIFuP=&)eP*5D57LF>mrtwNT@)$kC6&vh>nzS5Pg<X$A`xm-Xw+|$!mW7axSn<um^
zjVZ>Qzo<U5MrCPqpkXgGEK5V-QpnOMz~af$aFjcYlm<1%8C?$Spxt&p)A%wpwv<4r
z1^X{&Md=KUQ*>8uF70?SX1Kc!<s1WmY|>!!1G^~_u1DhgKr=nb^Z*ONHy<i!nE1Z~
z7}N#RFCgAAmN^@5WqoyuKfcnb?2-6?%4*EdvL^nYWX$=C>f)c?4246l1^Wz?^+LnM
zU*S>^{{k!?@pqIvqFg-GKxYAkK@n^!<%;m;5>R6mp_N|(wxyBO@|&G<xo6jb;c*@~
zC<_yCr`_M)a416KokI2tZpGgN&$=l3MZ!C(Qs95fy6+Tte5F$<5qR9L2!<WoqvfZV
zjrm#D1b!)0vSVz%4P}(TuY`uZ&@h2lxD*7w0E<W99p%<XNklIDarHnAY}(~&@ax%C
zgG-C<yxK6P;XwY)hT6p}N2jLc=)i|zdXVni#mxjPb;YiO?<jZzw6!jBIR%CExn3zO
z*@SU!urPXsMC#9(OhldfgRjE%M|1qaXS5J1%foxM)m)GUZDH*Bi&ma8o(>Ir!C@Mt
zkSS<T0T_=4Im&H}6&*G3S#(v<Bb$SAJ$hmZ;DzagY*HpsZVu2+kwl66n7|~;O{{3Z
z=1Xk(o8vs49Hf1@_#P`hQV=uUdR>&5iu>_igO!Hlh7tHTKBEbnSmtPeD>KnHpy#38
zsj*#eKB>ZDQnMU9Uy#p7Y9pP#2g&f<v&v1X-tyK4)Az-67;axv-CPX<_AaPQ&2T6#
zVqg)Ypn)|A;25J30!Y8Npm^HgKJ6LU0(Pg1Hp~N8s3)r5Y?Qwe(`mWI{t{MF+!aPS
zk1*yVb{|&ZBW5ltQubyr{ZR}fI{Nzo`u9TRK=hIKIP{S~4Ep;iEraCMe!iI6PpO)C
zZjQtsVgQgM@q4V~ABo3pR@c`y$CFmCInf-0&n!bqZEd>K1l@!EoRX4!um(<5gB99>
z>PyNh52h=yjTn!fG#dK@+)JTy;CLbeapQ>uV#af|)FyK{S4)+0j^;5j-It?z6jt(&
zrc19*!75I@Vs8f1(_$FW^=b{k^aQ9JI1b2r+&CbCd>rWMQyc*}R2adiBLLEA4#=u3
zVw2i1-*b@PmAn~9^CJLt=qWz}z<!&9BLGi=Yq-Wo>)lasy^Z2c)9eeAmCgce3OWnm
zq*wJ&z@5(43ZIrVKAPz}5TI`4mInh)fRh3EaNF)){_V+=pYVjopS+%b*qnW<(tM3y
z*m^i`ynGg^g7guA9jb2jhWT?uz&XN&vjPWuig9!0d8;N8wmi8-bwB>}Kn`8{B5cMw
zJ@8!n`;>cEAi1ANJ5I3L<VU>E6Y2-ld+D9go|ve;fke%dM)O*z6q-i!9-4qV@G1y6
z(rECFzE-GyEzIYvmclm7#Ib?EWcg1s@GNTX92yRTIRWXuFg<<oRjgS}Nccx+<gMav
zt67koRfc3s>9L-g67(-Lj_#g4z_|^&3gsc1fLnqD0fz+P8;=C-;X#z;r<pBVW30uu
zbQcUEQ85QmmH=^6C;f>rLo}mqL<IpyVhl$8Oqn>2CJ>KApl%gG@F!@WN%Kg7U}+>N
z;vNZ%NPv49$talsM{5D_U?#wAZnyFTIQEA*tPPrz3JGwWK?_e!JV*;y{MhITJXu!1
zhg$n^irD;UPt5M!M0U?J7d{6nnR@3xQuk7tfLr7Q0f!vn8;>Q+_kRw3EoN@N)oN*v
zEf=F-p2+ql2A)ODtxhxy5$g0=vah5%mGWSy)4oC)F;D=%nzHsCnu`jm#F?w8N{6^N
zN`>_S(;c><l4}F)iP^(nl0Ecj)4wr+(9=8p+Vm%yfLogc0f#o>o7vH(HJi+qEcw>V
zTi`k%P@7f(-GU3otxYrx5!y6D_LbD8QXUL#TFiFtQtHHCro^31^HM>lIExi^>aej!
zzjd9*$xzU&{q54StHl>)ub)o#+M{PzF;NNAv+Xnix1I?C4n4y+v!iFvv0B<&dbXQ^
zXHj$O84W{(p1p?bE2(FtJQ#Y$KQb?tO0F-?znkWyf|hXxW3;TiES`dJd3DTF5Nun)
z`s!FF6}L5CA-k^c%tH-3(kNdhebFUw+B70o$ubY!)$bg!^m^C;&p{sgi*ZXY^3b^x
zjb%4?#daHHoz6o)<5KWs^UnvcFDBM&W8EG6yNUg2j6OkL`gAgeaVhqJ#oA?8)Nm!j
z46M2^Zx35hrZxQyj`d*rtKcEWzC)z<k>Gn}1M>^fGZ>iSb$YX%p1tsirqQ>IrzXo7
z{T3Ml`(ULZ;gOxS^z0Lqb2QIch1*6OJYjVbvh&)ISg(sBpR3J;Rn4I)x0R}0YpK6B
zxbJ#$&Cg+Y3Ypr6LQ|ehZG2@+tCmHJx=-)%R%7&ViTm`9XUzGF>NYVdQ~L?fuooJZ
zccgGB<Q)}Y@#Gyj%B?Mt3S}#@vXWp&?Dlhe?90}ER0*7@DB?c7gIG~ITl*-(vzv?l
zg-sB7=_Phay5;;8(r!IfSg=scB=DolqF*Mw!zy#_8mw#1TswTFQz^++#i>>>?>L)q
zlhv4?WyD=b{Bs#|{-V0Xr%!^yp~>0Lhq7L1n8Yhw3KCy{#Ut^Ka;r>XP=lITFF>B{
z+U4?`lz<f}&!?++Z=QVpl=`mbRDViKz*b*kW)@w2iP<IRnp;p>bVb6l=pTo!=#uA`
z0Pi45`Tht)#VOzTN~cmH-*hha*R00;ENk-p6~>&uXl42S1~lx2hRL_Wr6Au0SUmFW
zD7P+LKyulSs04apQ!Uqv50-#jMK73#j?xQWK(2Jk^&-sWx8!tFV*Qfi9ek-5`$AKm
zl@7j|HN6<L8uPQP>BXZNbN-^0^<oGb_Cmw-Lg7--ivlbjy>OIsh`3KcNWJh?0==-Q
zmg~h|XIU?7|5~md=b@jj)@?p3U;8IJ;ObGn8O52yHD46{a$?#jzEGgC)zOu~BIgwa
zsU?>&L3GX@_-fX)q+vDY7ky1j62_drXk{%)p<ypHOiL6l1uZGS;?WXExg!JQM2&P7
zQX2Harc<sLmzKa<m@mjC<!OU80oo>#(s5fJl)gEb{uws0;9n@sLSM@Boz-_P)!zzF
zraAA85<}rdco$YG@gisk?^mCXAF!-<#d&SHWw0MB#xna24C<$2_yniXV0u@;pbGf0
zKeG(~3XyJ(iT|?0#xvDhHVi+C>7I1v{17XJ4@0D9_P4<-Rkb?&zE#@n{E7{Y-{OI4
zveEuUc{zCk1YwIBZCcw!a<ugQMI}c|Pp%q8$NlI}0^2~}kB%jHa`e$>z;9pN7k;qc
z<{&xxtY&v~M}4w6KHBe0R?3MEyB}RAQ#BR(e7%uj;8!Gdvuo1NY3*iN$)KR{_h_=K
zm$bTgHe+N9sO&}kdS`s=Rh`L)<yP}EVHov=hAIAZ%JL>vcRt-}u8%|^Q+cKNmM18i
z4^3<N6xGN0yyP68^ipib%1b_=C??!|=Xdn_is&g)tBhvk1YkWiJ2ggj$`f=Rg-W5R
zQrFW2+(BnSz!7xDH@cAOX~Upgyw8@$9G2A!@txW87g{Zu;$9^Nh&0M$fX`>(S=8J?
zXAXmZBG8lSwz`_t!ZETe##3F=XvS0V!`~qWs)+O;QPUcM_s{kSkhIH3=G_cJJ(t3t
zdHXq<cehvz0!7dkg3Y(U`6f+38(DoJMC2ed8dX5>XWssl=8*!SRH$VP+$F1d<@5=_
z!W_iFFN0=rkv9%&ByO--sPz=l;nEoR@#iOSMaWdMmB96C2^@UxK-7CXe9xpMuV;hn
zzUno$rm0<Z#ic6j9bZvdwRF*$U>m_hga5>w!koubHbecdIqGvC;C@sLdU8*65LQx>
zf;;73XlJuwuZ61%b=EdJ!I-D>5FSLf!02M!8orDLXWe@6Ex6_c$_Ja*tXnj!d0jZI
ztfxvk*oJR?aOd>>(O&@nLIisln)3K{@s%!sCGieAo_CJbm^E=~c2M(JoynN<7u8K>
zR0R7xXxIx4^H?cd3LdKhEFO=Qquil{WT+9&s8V1T>~?c2>Wf?-T>>K_E}R*t0fF1w
zHLU2Y`I2sc=5%TEk2<m|d`Y{pQn<nn_25QfR7Eikrty{w?UGXYK$R4Pv3f~Nr<g0^
zR)#9wc`;Vl`B@$-!^tEpk?~A*p4p*y#dJ@O+1s&F_?RulYj~2nxZl6H=2GuX);<%=
znr=kWr$M#Aq<~COrY*@`&}1PC+_ZOW<Ud|sPHHJa7&Y>wjYx$PO3u$wPAIvQQX}ec
zLNQRu6Z%+!JE8s^e`8K4_S;-Ip>WpjwfQ;oIdnqlWU4x$&eR*RolsYGCfC>6)9g-=
zO||ozV?E}R8f~^m&c!447hlGg8;$GM-8A!@nc>Fb?C78?1*9PiENv>@%CjgtPP?C$
zsk-xNEvt_~(fwq;749eFp^49+>SMh7DaR*06q~W!Pe&kGe)R<NQeIUM5FrqLcNA0+
zW%ASO)>1TNfqDYjNsl{f15^riN1a6zaBo=!0f##Z-{^}E-5n(%v6sK-j>325@LpxL
z<e$m)d1ue}`<FBDENX6d6o<h-B}f<3t6%}Mjy0>DVqaw#oPw+@6|bcUQGc5#?V?d~
z^WEdT1f5ZT0ZqUyAA*2GKJbl4J{F<j<=rhVPWVf+?{`{lS!1TH3<4#D6DfBIy_(@?
zk)xoF5s~t;=&^JeFw<kX!k)eyYG;%&!TtPfgKN+#$M_x>#@ditCqrC#<VdCqp|v^i
ziVY!?!Yjt-5$2y+EU+u}ify<efpmPhB@{dw>~jQgi74df^x)>u9zPg@iAT7}O6pU}
zB^FsrjcfXI<ZCefSHYfKo?3#efsB2_lOOZwI|F@f%?WD=hW9_`c+b5*?9Vai$*tNS
zvC@!OYs}h#kM#(KTBf+%W*|4?nDQ}u9<xWEZ5nXD@aUVlpF;l&9<zg>DUZhtUm4Sc
zH6uiw`Pg7J=4TllA|eC+SjL>cs6M4cdCWFK!(M2Z$4uc;@R$`~@p#M}<qpn0X1Y))
z<B)j@fW5F=%k8SqPqwB6Jj7X?@L0`?(kDEQ7Hgr}@HpR_ZIHXQ+63O;2-m2BCh#Sc
zd6-G9n#5XL{jK`V+%FTrgf4FWVfT)lOkCW?`r}Mo#8)~MdqOsadJ*<juKxHRCezQh
zn)5TQiS;hVp1-Ir*6F!WIM9caJ_pKr!C_*(4N5R|FNih1F@W)iwWHjDQZ#fyP&j4I
z*C5h%OXVUx3OtrLpG=V^o0Q3kD*{>-PD-3Y0$o-A!HUkBL-`(HQXd|_^q`;#hw`Ve
zQpt>`MSzYKjux@j!TXQV!%`b>?`&b7G6a5DF29_}K*3_F<Ps563k2m`F@0y=$FGME
zDPlCsLu&Y#%l*#3iRqpk+FxR&@S$C84y|v8XBSgL#w_&Wb3$dXss+nz254)x02nH<
z2TUCP5-tviYm_+9CPp};<>FYb_UTG@L6{cAUhZJjFgu*l=K{NQMkJQt&gfGCE$)nF
zzxkcfId{X2)3fDh12*(~&B^XeA{QI{X^lUvH;#cw^15qh!1OehHwGIExut5XhrPkR
z)Bt5my6t{v4AO$vW8DSWYWUI{e95ObDxPo7R>~)M*luQXwyc}<df*W3&SY!G+hdG_
z5im<FNLn19$(B5=KG{#YGq=wOH}QU(vw`hN3qOt0?m+zk=ne$2>r>P4#|lnn6xzNH
z{#-8p#D&b}Y*nv4HoC1ob{)P2a*Khl4kS|@Fwt)JT5Y%+Ab)wuf^1bc8SBBvSw?rk
zG&nT_Pgdh{ZyIi8o|=NHU1)NUKS?GN_GENtv)33MgL~(@z%o!271V>3on*S*>5Wdp
ziIK^fOZLr{H|mq>&&AoAWLFcg>eYMwt}L`TTRfg@>u-nlR`0BLT9`2f?ZW02o(%Ll
z^|1u`o_SHWx{03-8&$`1vw?nZV#BE$y3Oq~*<t3((WKL9cShkOapRK-+$zC78wP8m
zY`=EDXSTAKwK9_pS#PW+((NFR*=pWy&V#IdnEAr0ob8W&=mJm;fM^o>G?T5GthcuJ
z>)R7Rd>sDXH)+je2X>ONc4vHaJedah05VO6^b*+QPe3;T5y;=2?j#dU_!7aAY<0a4
z!Ib<_wr>-JYSnmuYI;-&9stW8z?sOT)2f4BY|i#$PXOIk7l%K8G~G@5<L%L1Qz%mV
zC%dNG-DFg+$)segH@c(QZE_LaZ*;ubt#6yejtDN7N`+{w&sIWbx}XB={&Z+`l_<vU
zX70{hJChy4PGdJ)U2tPS9xseAwl)q!zM@m#ss02JU4vQ$lGEA_f;icnYW8NHyw5-W
zZgIAHI+-2?Sl}ChtuY4KN_?`d4&0-9WVJ@GH{IQ|apTUNJ4dE>_ZsciNV~Ir<9M=T
zBb4lJoXHNx8jKa(BlnUi7^of$%rbbs;ppQ}0%TWrCdMo>_#`KDm?YDKz-f1+ne-+Y
znMQAF5=ad6>f1nz#(RyKOO|C2!fwJ9)lxkb`=i}yl#pAp{kywcJ-D>F(cIpcg#ST)
z7frTXAnq%>Q*}_Z>-(VBT>$Dp_Ba1?6uyL5hmRy8v_trXsrncUJl8iEN(Ld+zOFwF
zBvyk_>NR^Xc-#)$0@BkSYqlmp2Bcv)08K@=zs)SSe=@Z#83$e64YV3b(u39x9)pF~
zb)(5ty$N21@$n9Ps*&-xFlp_Wfe9g7#!Uq1B#0M$5v>UV-y7}KJKGa5Il%E6AOzyl
z14{{_FrG|wA$*n{U_5Qrr=V4M46RM5KbD|cjI-xU@ge^`JqPEJGvP-!8^FhqTgfW3
z7n{3{BOp4*-Zxe@PHzlkOE@#RNnQ-A2@EYAj$ynb;Fr^xThPdEUEJ(WwLxNWHTzDW
z1rD%V=FPR!!siA3W8cAOT-%sPzl%o=euzJAUJO5O#UJ-Bg&+6hk5g8{kJItT18d;N
z&+y0QL*U1i_~UN|;l~*M_|_2o_&)wPy9Pflz#k7i4u1Rre{47wew>IuKDHiy+>JjL
z9S=VS@W-hqz>hQV2Yw5deWjV*#=~wZVmXN{$CmkFneV!vt<rUc4fLw9Cd?)%DKPl_
z37SM%j!TsOgqH(31Kpb1)}B=A$BG_gJyfL!j1~tZRaWT$qkWj&Iz60D54PJ9Z}!QS
zgTZEBxWJid#aMfC5_ACi0F(C8^YF_T@cecV@0(|?0FyIa?|=~lf$zdx!3iq6Z9HC~
f9y9G)(QJ)P_Q%0owzs2VEg#3JMOa}j2_yd(*u;u`

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.data_readers.doctree b/docs/0.10.5/doctrees/dataprofiler.data_readers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..56b3bd6ea33e6bac8fb5bd8899feccba39b4b5ed
GIT binary patch
literal 4691
zcmd5=Uu$E>6_?kRY}vAG?{*i;uD9AvlWxdb3TYqOw6ukUkj6wI$!60A!Z5mbq;q$#
z?%d4GwdInOv@~T6Ln-9$Q~MRt(r*yROCX;jAE6I@?{Ds3NkQH~Ut%!aIdkUBncw-Z
zkDHHQz1+zD?4FJ(h-Q86`;qj8PVJU2y<{pPlYW{$`^WU7^p0&SeyU}nJdxT4I6MkM
zUx_GvKeb)QZh}zvi}RaWcqWihb)1^iqRscyJJhyK6PQrUZQ0Jt-0<F8g8M@0)bW9B
z<DQtg`<He<Ni%&Q@QQ8492%IE4s4rMD$}}c6`Bt1Mi@jQ9VR1gx4AJY7$pWTbT3*D
zeC@Q~^g^yRi1=<se42l4`AJ+aM%;U-#Mtp9cGK{Q+e&GVu2Y9@&^jI3*9Pxss6Tl9
z-S=Mj*^dXYk`MI2$HVY74nm;@&`=L@%@#KLj*F@M`F*AFpqs~+k`e9X*w^6gmjt`{
zy7ZF}s%B_itJgI?FF?8HbLEC~(?LK#z`N-d;C%}JPvieb_<t5}qUW-=9OdkE7YekX
zKpS?J(^w{vKWDGpl+*wa(lbiT+p^eObrD^+-=D{1;ps31tf_+B0G%N6!o(L2yUaFQ
zQ$F)WY$!e6fYErIc^FJQ3FRm~w=D{M9}anLcZ;JHVJk|eBcX(!9yjcE=6_m7;Td?h
z;n(%84v3fNFaux<`2BhrHM>{5`RG*fI2J19%Rv4T=jMO}@bs(FZUsCqFRfR@MMHW6
zVKcN(t%R-5Pn2YCJN-*~A>)W^Q8V6NEz#2_HQ&wEeAT5tyqJe&*&$Q!?rKhF>6ja0
zQn67o9s^wWpbKPAU<0Z(y#S*Juy@V)%xWc&Qa(t8sd=AU&8v+{Jd?n$*ff|0k$#c^
z3{qMtS<ss<AI7A}&<V}x_w*tCfj*``(VqpqeY`>UhV;%k-9M*y&*`_v4f@?Vy_d&o
z>7pIDnz!tt#J-J7wr$IBH4$}+FVjqwC2Vh+C7Gj@2*CN5GKp;l8mH1nE|UI=wD{o@
z)8bfghanp&9(lBo8M8&183&97QD7MB$7e6PT#8f?O?q<NTdg1R*jgEmh{Fcdi+nNr
zW-?n9f%7Tpj@^iPpi+A)$K~f2UHq6@Lz8j`!#_$5z7ud{X}t|M=UMd3L1BM!j{@C`
zQS10b^zeyhAecnL?-|*1`7V2KZ!A^MkjNKhb?cXv=>HQ^m#=>VwSRs4^7Yww0^HKl
z$w<^;w3)k$uA{}yk>*P9HjWqVL|KC8#B`jS9~EuFoUDxAtLaMu*XL?Fnu^s;K-D$T
zUFWrHw(BLz^;fLwraC1h@2c#U7RDe5(J~%XJ>Xc$$Ov={wsoI}35s{wMAF{SwkIMI
ziW{kr+S_=N(1uTAEOzp17-T=ha=Tb2D#U6RWtX`w%<ba3rmNX!sl7aw(nQiAeN>yr
zYj)Q)peXum24|h7pmbfjh#A@$*Vk%@yq;4;C^8B=4N!W@UJy4H2a4u!Xgf;8QW+MC
z6A`Azm+Ut2uv#|lftVpX;WZ}FB~#NjeKATVxUPH3RRpZS0b5N$X&c2o;q*=)*=`WU
ziD4r0qz|stwi7cx`son@Fts-pH<?fhHIjJbqpt+cPF2sOc26c|QA#tDlG?+ioh1?U
zAKT4^)(VtIZ!B&sowWPz0U9U~@Cost)b55nnk2{}fZNCV61p;bMF~$TpP_|=bKn}+
z=M8PklhGJ&1RR0SVl>&oETxw1^2A71lkBAc9<}Qy)0kCW2UIgc0Ebf%51qihi~?vQ
z?QCC@Vl5J1vf0%6)4rI+65Y`J$;?GO!%hMn<o>zG{6O<j=pIsNxmiX7-L)M&M#KMk
z(TVOBY^>^8uemQ=g2}+~z`RZx%A?&u-&rl;p9e0a;5N|&UKj?`z@)D=zW#61c4HBv
z1fm-PW*KB1N6C6Q7aO)m#>D!?!Qk}t6s6ISjQUbd2EI5MfKv}rd)1xDRKW>m#1w`y
zFw7R{M^8Wh6Cm4FV{hpiN2#y5QC?%D#H1GpGtRCdGYxS?+wc)W$an4emOX?+PFWS3
zmHJGhx(Kx0`}!<0e8wo4P>6px??xz{-*@zsBg#HV5Y!q#UCGw@l7-Ua#W-;25o(wR
z!{@;Ulrso%`e72|3OAKzt$vXNFc*LlL}U0snH4U(JfV}(BHzBiwBRF9&u|wB^hoFS
zsuxQBkclY|LWW6MiEL(kWY<M>;s#8+mFEWpB-{&aMgWI5EN`;10p<V~!CefRVb_eh
zaq=T%umx&9a)JzL<7&}zVS#BC^i4<1zwgjj^d)^kpC`8MsOBsNVs6CyYDixU6T0QT
zzeGv-90SQ?`deam=S`By+w}ruET<6e$SE%JO1@n2c}mWQSs5mrj$~L_Ib;3a60zcL
zFGy^cw`PYfFUUs*RmP?4tIM*A9gJ|u3m&FY7(cZ;o(w}kjW?h$Y`#>`KLrw>q;J8q
z(d!`6G1qIPr2N7vJ<O9a?soN=MtGFex^fl2U(i37Cbw($l~)0~a%HKP+q!rANp16O
z*IS`zp=cLj?f0Q;`NKwwu0OcH)@WQ*tX+lv418}tfzLLJa<yhRoPQw9elvXK4OcVr
uA9LvM#cw3XYmoWi&0L<{sSwKid8e4D5r7l-JIS{1l6jH$T!WE}`u_uE%^#xx

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.data_readers.filepath_or_buffer.doctree b/docs/0.10.5/doctrees/dataprofiler.data_readers.filepath_or_buffer.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..c62f8eab7b2e1648bf5cb7142f80ca2641b49c5c
GIT binary patch
literal 23191
zcmdU1Ym6nwRi4?|dGF3XY)=rgYxfEn&&oS97Pd@0_7ZzdOg5X$20votW!3Jvx9@cK
z-rIfMkKGwaz!3`CCB+ZCH?mD)EJT8YC6Wje2oHe}A&C+GK|moP<VTV}B(W7m2>AyR
z;X76RsD9PGJ-bG>CGXs>=c%vGIaPJ))OmXH<Lrqs{vSIK^ex-nUNzcn*K3=>fX%eM
zR@5`yaBy{S{3C-850=@iZ(Itz$ZwegHii-{%kH*)(;b{2umvg}+TCC^u0I`^t<d(|
zw7NBEO<B|D2g}whn+)x+Yf4${@I!Xj>>Ht_o%OX-QKw`211gQedmlBoiHgcHA02So
z(D)5(s&9ara9|x`vwBLtHNmE0syEo)uI-wGjcC(gb4D2Y_GT1fv^2U2yB*L-rdwSj
z2#|>1ldjPdzh>G|Kl|7;S{Hn?LuDd19U5DdHLwm?OV&Q?h&5pyW#`u(3rs&)d;jB4
z{LDRfuJwJ-3D(+1Xy8`|WA)cSVX!7B%Vn%mDcv`XHtMfZS;9s4e0`JSvg!vI<IQLG
zM4Q$ao3!1wxh+8{P_}Ntn5<&}@Tc(qt@!^o{C}Lr2Z(%|k7}9i?Hjf~V0ZPrcGNZR
z)no#P(J^3mifSv3YFSeo;lPNj+pQG|uIGos)iI4Q@=blyH{6z$LyUhUh^<v1*56qt
zv@vdXOY=I-h6$+00rf1K1%DY^zR|ZNxY?-(JvTILH_$qf%UM3q47aVtY@~HOU$c+^
z&fC%w+C&jCpTVl&^u_DaR3;D)0^SD%H*Q!r6VKN&1<l60z_f4iSxEQ=v#~04QleC9
zN0w*zsQ{Az#lz0nfev;sjb1EN%g424+tma^H{y@u19q~B0IU|f9#l$%m@)|XUZ~@i
z#Bhlg9fQtAjvm<1J|r1Z8Rir_Sxz`F(<AHJ1MbdoZRO{*aHkJkbf{U=4WP4w)kk;w
z<}XBs-#+)4i-dE!?X5n-#pm?d6B>P;+JWLcefB)G3Rmi5Y#%3wRuEE#$*N&ZvPSwL
z6^4ejGQOVzn{?~>ewob!vXwrT3Zj$kC$hP)@^3SzEN8cS-Swbv(2_TUDp2Vc%>jvv
zgI+qZu7Bw*tGp_hjWhw+YL?GdajFg$`6f|K<%~SwA5j55Lx2mkXQ<mU(AI~n4-=}t
zo}p^}8dq8%^)M%ulyA=rO}}en{gc@19W|^iNKeEhtv+(qWpvG%gG5X(B6YajYl2l(
zRvxVv>(OH4?!b_FkYITMusqMF?M99T5!9#ECNc_pEH=KLkbz(MUO%VmwO{V_GjXqr
zY+Nfe^}O7a^?QjjW)n~;3GVy)rrRdHvW=~hgnGO|SrmoyB)%fITfbgmD{6MyUJuLe
zfbHq;U{`|#s4<A?B$wp@FA^I5mKhF2PguWq)`fx}uoF#GHp%|Zx@dQU=Htsi=I=`j
z>PvO=X4WoG3Ew}92CtSHl(ub2!QVl_SnXs2A~dgWVij-$32AondT92qB(s}N+>)Z%
z0;9aqd_t{%%VyL1Ms6OJ9n14;eXDB9{tF`X*<>_q{9Gz2=kioLbK_%U3c~-YG|?m~
z)Os1KNxpy<+W!f4`_jD2oUQ;S?&Uf{aJ!nsCJ^kCcMk<5?ooHs9Ep5qO##_+LQ9x}
ze&&>u^FB4LO(2<<worv$o>2GF9FbgKO#vAf`#TG3!1)59JvE{Aa7ZFp-}<lavi0G*
z_D3ZZD%Ck}(197&04%WsHb)y5Z_|M(W02n%PVH_XvA$tVv6)WP?ehJE^&7OBw5_A0
z%g>C1FoV<%U+INXZ{ct$8)1?I&$4xYs>tsBdD<5BVA;?vS!QUNzGi4!_C?dxu>Nr)
zj%MS;nVvp197$taLc;CW)J7^M&hOK#Ejcf$Cr{#G8b6&p-(Fj2nkwg$@gOl<vuv(o
zo87iv*qbJ2HCViOzO*)HS#j0k26OHM$%Z#bCP_|8F-Jp7&R;eG-1&l-rO(qJ!Fprz
zAU3`BPKi>9-|jANeYItrrg4^B(YOsS^fa&`=eLa4_$X*oz0kG6uSS<n;GVlBb;YW-
z&fE;RSecav;a^4ufz6Zku5Y&Nj@=qumX)IO99k)C9-My`fW3-80BVu#(UuF!kh0_*
zLun^4#ttUKHhX=`2<+TWZ30*%)69S8hxU4*`TDIf1j_k=Aoo8xx%EZmy@l9C6D;O-
zziYSbaB!t=8|M5F4Lje)KbM{F&`*NQ`7ZuRHpfni)cEmXKrOOK?K@9jEiSetKo{9h
zDtIe}OIZq%Qfyb!{RK;@P)$qDKVo32tvMn76_i2aBvH|(vPtJ<QS@`XsPm`zlPL07
zB{+W}rLpOU<86H`2I+S?Vy*y|_vHDne%6WHSOMHhl~M)Zydw20Xpw~e-q4Rs&F*Mm
zRI+691w||(B;p;T8<esWJ&`c>HMNnBmt9jcn5BD~V1?Cb$+;UfMq~lP^g6S^ykG$`
z)8UeVE=3kuE-i(Iv%=#|hL^Cyqf}``R+!%Oysl}uf|l};C(X~()g75GSur_#P>t*B
z;fjf+J*%~og(ingC!cn6c)3LK3BN|uu2vGCfhdCSk}ZaHRG5R+m42635?e?ymoW9^
zt1JsRu>%!X6~$d`Y*P`Xrm^$oJm<VfbHGh^()YCMiMyvOq$zd2`qBMYOzZAU^wv3c
z<{?~po%K)g%dYp(%?UQN%iQ{+!9?H0a0A=?{Y}cRR&=d2&p%nv-Ikdou)nQntI`TD
zEbLIL!m$2GrJ4PN=E0n%!vJb|?R8SZ+DYv;|F#pF>9#yFv#o1q`(z9>y62F49@!h7
zYo5>o)4ZU2olaneQW4t?3q^2ra9id&AP!OYj^kXqX}flSn;Z?-^}>?1aY{@}qLq@*
zyx{*0xJTX_)vrylmCN~Ss<GsJA+5;%_^oSVub5|C&ytn>LdpycFEe5#->_C5^;c8y
zs&4<5txMK+?ns+h7;&*70q^`1HN!{qbUK<FDu*l<rpmlLW#1e^8MA)7k}_NlR8#g$
zO4&=D(slW|_SO`zSiYW1X}@RJw8u?lX83D5M*T=RJyxZa+j$+8!10o4r}iGg`LVi#
zO2bjoLHRC%=g8_sx{kPYq^XbLD{o{fZMQc~jH=D#ZOnDB-8zTRa~|V*3-+>_%4&?`
z4$44OoJj9hcOaQ~MudU)A)mx6ZTMvnlqTELYAPGTkhd-8mD=O#o|@y4@9cU5<EY7P
z2u#kzoX2Hb-BEK~a((Rr7KKIoV`^GepyapNN+nq+Dj|?8!MF`{z9$rFwmd9WZvacW
ze_krbGwHM_r{(A8kJMwX*7l!9rMxDp*Y<y|?w}gfxPuC9PdPQ(KC_{Xq`_V-v{b(>
zy}lak6%JmZHzm$BFklA8*rC)R0CVgcq36r?)bW!E3*c9N;$Kq^pN)GZhXCjMRAtFg
zPY$S>WmC4xJuM|SjR~Aq5@Pu8JUQcg^Yfa=ha53FM$`@Ui$*sx^Q5sGf~ep3{7?^i
zh95o^dF0bcr&8y~GR3<Tyqnc0tdaoEB;}LQW(oNrFDZvyqeI?-N~4P2adijPq8E2i
z!E=;TBYOLDXU`atvJ}oF#R|Omu0qTC$(OxhMij-Yqv0#Wy(L8Jw^a|T39Uvn?w|}u
z#kT56bqCU7F(MKpZmY^5)L+d8Y8q7_6hyFE>!~>~+H`&ZsZNhg3KjP;C85q6Xr}1N
zk?6RgG>oC`l!m=zYDvUheB?#_1vMr6ke#DsxJnZQ7VwnVL%EkYHq<Co(rWWkm1Ly3
zwETeoOgZ2h-S#J_G^%d<qPl}>CX73%&~216RJW1Qtg&wU_d?76ue$APB}D6W+v{pV
zs}YSmsL*WytDxooN8N$Myrb$i>SMTqFN098+ZHDCd{CGz6$k}ctk!L64s4*?ep*SW
zQnwAIp_y)br<#&o=r%!M0Z)lNl)CLkuBZyu>>70@O6ApAoR(K-zo;BzjXHZjDvhen
zbae;Sd>406q0T6$Mx9NN&~O9uNJ1MGS}F*HG%MFvXrJQX6?&_dDK!iYWa=5^Sd}t0
zl!ly4jo*>*9De0F?Ne$Rb|FoIv?kItye!<1D^2lPP3L78FoZLm^9(K~ovZjKXV!O~
zMM^_QZ1SITo~P!%MfMTlJQv?laHp)#$F^n6`X^8<*`dX*6_P*0;wb}<{MI$$*1i6u
z@bY^yRuqeDI?m6gCriTMUnxve=I_G}R5gh+@pSC}Bc0Ekf2C%`#mQ9cXP9S)uNV5s
z3j`kUap!vBy#pup72%|w!<o*(U!!K0oUh`K>f)PCaliUjWB+)`AK&>dI>}szQh)pk
z-=a%~?+&gAAEJLiE$&0aXO`=d#CtzMhNk<=@D+U9-34;aB#tRw$IB;M8XY_#oi|WU
zID<N0qMyPa^!|jC*?Pt0n|N%f!R?NojcQe%p19XdpH^K<6DfN-V^f@`{x>Evx%ba=
zXvGNMrt?=h8OI*zUNUw9z|P-Z0C}1KW3y`(9c)J^nL&F%K)av*@aM!;SGX0>I{T=`
z&1WVc>(%t0cJ0tMy7sS_8ogV^lRvFzxW*P-EV$}OdF0sek{P{61-(nVrFXK9-Vfpt
zb(=q-wcUOchU9rBxI6PJ<*#kU1R#6PAm@k(PosPjPN+u6J=Mf48O2F?vzpJ4xm_T0
ze7DF<=a6weTVB(KyAaB5!|`GxC#A%4@3E6jC{4V_)~V9bWF3Z@tMVnBW%HYGd^f{-
zFX>tGpVr|W+>;i`k}Kl*@<q9}EZy{G9yG}#)oRb=O_SKE>*1k&J7XuY18}}7AzkTv
z93xqE)t*Q6mq$ia_FBuYhqQ*rPRPH6=5VU0azdsoSzlzE5`m%fnmnlZb~_$N<z4qv
zg$9+nJ#jmBIf3;><#R$Kx8nc}D<PtHd5*v*KUBq2uix6u5aT&09H8=jX17sz=?ImS
zZ6vvzePTELKGy(R=QmM!M8`?z1(e+#w94!Emv=MBQNW!^WIQ=XWeIuV`{HgW_&Zcm
zZj<HhZWEZl^ya|)AG;akC@@dQ3N%4E{mz5@`fmFF{+k8z4|ff+!Zl!WI<H#m)f=hm
z_yI-?G3+zNR}hqw)6_MuAS%k;R(b_dvyP>6#73?Xt52D->_lITBqI(iOU`3MCXxVo
zgvPt%e1I2q9>t&JJX2cTACi0(__HD`(tQ2qH@_NPcOz_%8SocIc!fv1y!fdR-Xu_E
ztmb$ZPV3roei_fXLB#7`E-i(OtLQsNo^z$@Ocw4nG*`25Q<e<6df}eJY64Iap-evW
z#J{J|<VXzrZcbu-QF-ZZw7$F-4J$$7OLvM;NnT0-)yPXlxz&bzlfuZF)&zqW`yVbn
zCx$@YP<rl?uIVVEO~^$@xPNOM-|OLY1Rn_sf<$5iPC^WvN?DN_N;pk%-}m&$?51Rc
zL{>h;QK{VIQr76Ql3Ba43oBnqeZ0_EJ?l$q{TWVNebHS@$+Ku!2@jW&6q}Nil%T1R
zl8SP-3}cZ@EQS_^929#PE(be9KrP9EvPow{EI4QQf>S?L)N1^8kIt||>~qQ6y`SYp
zhabGtw|enflYXaQ@^$8$jhHZgyZ3dfH0;QoSq*QeAbO|Il2MzEy5ez-*^X1V>1Qp7
zHih{(Cbv<YbV#gGHSo%7O@`0kWqof1UWsRwU}`k0YPO2sWhJ(?#OA54B;I8?$<;(U
zYZb4v_+cWBV3RZAJAZ(S4Zh?$pQ2xjGx+Dz>90S;uj*%58EMPbeVHL+#q(Fh>rFfX
ziyyvbxso-+NCF2!RIE8fD3}n+*E#_^BSH|?%T^k8(K<nO$Js(F@+m;0o`z%Gm!ycW
zjBEyvl*q=1_>+gyfRb3XC<a1%z@|P(&VSOo=>r>Vb_*Lm;rECSJoYlN!1elr4TSmP
zu_|G0axdU>F8+-CF244MUQ4Gij+Be;CMhZ+;s_n?cwUH?PKYy@W}X>m`ze~G8};;U
zg!AhSkg`CVu)f~%dK4rxK$A-%#q63qMZaVtY9kjYkc=MV3UPGF4YtoWxzl3Tyl8d@
zXZEl;%YcJp{5i=EncFt7!lSDw$WkZU=4P~o_7>>&1X#s!?2s}W`Uq4;bmK|;0ymiI
zsV^d%jl#~#J6CvIizE3=-SmBgm*i0j5qA?4hq1NbT5-UOLYQ5pRwj8X19r5KQ)t3@
zH~5n+h;}m?lG;b|8HLL1AdMjaP!=HS^5ARxyN0_J!A=dt+lcbC2VqCq4Zhj({I=dU
zDby6Yp|F-4Yzjd$ItbqZMC`VXsBIm48?X4-f)RzDo+Yt8HkfLEJL>iIl<@#8PrzQm
z^zoRE8a%*LfUX<R^k+%^z>M0Sjv#R;br26!y};Dvnw(2o@LIJ4n_P3zmfp4lx*)(n
zVk)N-fv`@neHcst5fCr!z%_9(oot>wCg~#mLMI4CN6-B*H`H1iQ$COQtm!9M^bkoE
zILF-rBX;c`-t@nB?A!l6$rk!%AK@|)V-=Wj$PlZm4~_@*Bpyt&!muB#udQ9WbZND}
zgExons^@R5watrbC>g8`*iBS}lY$yLEVh`akVnZg`zyEJaTkzX@H?$SH<Xffb0p~|
z#Dn5s)i%Qp@5TyyU34)U8k>-!c4!UG%&?>2$)28yXG*><!t-5W2ZJ31;@s9Pd&}zL
zfAH_#F2$E%`?z1Q9y<nKhI3u!C#-k9mJvgHv}GaYMhg=!<P9iu2vPb%)JH%BigL?C
z*T#C_3b@B>*=`3skSK=3q$;qK=F1&4dz)q(vbux5EE7S=uCSY0usvVUO@uM)>WG_&
z@PZU~_A;9=-HQ~Ymdywi0ht7Q;jyg^h7WadFUpzW5IO?8gb2M0R)CK*#j<6GbEy<q
zgeRl5PWnMNy%g~l#iuDz{B~}kb>#^D3D_(p(|cbk#4|Pm>lnhy@_an>y^kEd<4fAi
z(K|lSr}1a+<4yqbWffx91~|A6F4OMoGWvR3MIJqGb+~T>_kW1kewiaVocj?xgNrZm
zzDOa(lav$lCZ~vU2+a!)?rnPAl*xI~8w-hP>DgS1vq`VK(&1eD{K!X()=kB>;+!!y
z2esJpB2sz-HsA7aPa|U4f;}FL)31ULK00_9f{kE`P!(XS02*0zm}<vd@_d@id3fG-
aTivJ)rQ~f<eC4?|Dezd=(Y_+uT>U@fcWCAS

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.data_readers.graph_data.doctree b/docs/0.10.5/doctrees/dataprofiler.data_readers.graph_data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..b3c4c96d5e2843cd568d1b37e529ab4e873c6156
GIT binary patch
literal 54323
zcmeHw4Uinibsm212X_Dt|Dfa}=&@yz3+Zs6L{lQq{1ZuuG9g10BQm5ZXf?MxcQb?C
zo#oCffMbk`RApJDHL(?ACCj2{7yYLnQ$J26sZ`=}6ehM3JCfqqE=sXg<=ADb=qiVd
z6h*SD6z9FyKhx9G(>rsAGY?f_6>+mY-ThvF{od<-uYcw}lOJmQ(Kh-o-52-$pm$->
zZMS<-+lxo(u6EQKcD-IQx->fe-qFQTBb^zz=i_KNXnCV_8{}yDL8m?NdZRO=bPls8
zK__11<)>q>l>|{w7WXIpDS!IRsNv6~lSz<tJmpn7d+)&Q`_4UX;*KyEWSV$~cLAyA
z-o0-`yg+4#(y6`+)RU2aAf0JScKw~{6zB4EI?)Mw-stpj*-dBNBpC$D!vtD~t=Sp0
zW8{3g)p6q(65)BW=XTlCuJ*8>{aAKeX9wO2<{75biMxugM*cp3-rwV2?eFxDr4OEb
zF!l!V$sha2KmNK~Zamo^L}7fg4b6e4m7wDdP6CJVNyb_3#Ukcv4m`IF<rh~GhbAU1
z4q|BAHK%qAm;G(&WYBAS7Zk`Cn*R4gTl^mYz+MIaUkm?V5C0#>b^$blfLhZ?C;DzM
z7^Mr{s6Fg>KjNs2mC+xiuVL9wRLbp7olZvX(0`48LV@MUv9PRoZZaHr&E<jHYxy~3
z=!Zb&q=HO;Z3)qY_VresXr)?n0LtwE<xDyQa^q5M3Y_VkcSpU%4SKOd0^zJg11D$$
zh{4JlkXdlBhv>oWwVh5xKOCxt=r1z4J$e}`%7pxGfbxw@!cP0wpd6QWI3j-s2;vq)
zT*v|-zsT%}Fa)J7$&2n(44{LtNN>3pRpTDe45z`mDCkw{`QxLMWL#)snZPef0wbd^
zvmO9loB#{iQe;OMwryYr;Y~9Rz(Al-D|yoQ$=Vx1uRlzhXcd}$H}RL8xAoCfx}8Ts
zq|Z3FIj5tZw?J)E-u1lXd^9+FVUZgwW-1udS)qukij{Kr1g%88KTbm0fHv$SPTgKF
zN?grOr&A1GA<*JyCYDpstDS0Mna*73c9!D4i=)P_{=fq(dCnW5w1!a23OApZwv3%n
zr2sV!u-e10g0T_Jz8DYv$@JPPmQfmpin;SJ|I>1q8|iM4v=e|S@s;jHHmU3Ax2FyV
z{^R~XLCh~^nEO9L76sZjL+#TWHzNgB2!fK5XY!xhnB0X-G7fhkp>pPa*2LUFVh&Aq
z*Gs%XCxB5=>4L{!K4p@+#I#<rsIqr$CH7=Z)P-n2ntE^S(<%~uQb^DD%xBAcCf(i}
zxvGqye0&<Z;FBcuhY5FNr9bSol3~G0Y+n*Qz*C;;=WSH`MXJBesUA(YJ6ctrRIBno
zBZiQ4Z_Z{)0QdC09*)w@3ou_(I)cxZj;6arIgQR&RXXLPEKGvEm3GvHiNYw|(O-jk
z79=EVeXwqmq<bUElDLCaF9C}u$-%T^ZHY~&M(Gb#F&t<w*OpkNr?GRM2blg4I_KX@
z6t+Jq``}TnK`&Yw^!tT=#~#3{zapxZfbE1aNvrz1ma5e$sDhRM^$aNgg&aggKt;#@
zn+gqwSuVN>ATek1+=ctMZ`)>Ju(a)7enRqZ3m6IAFi9z?%mJw~QQsT5Ni<L-Fx`He
zWcfCY<yTu-PPaz|l?fYIgz0JtKQrl6&?EmxF_#lKwGe!;A34<x@36B125Q9}c9P~f
zw=?weY^8_dVZR>@l4jg>2gzf@2z{+5L2|>}B)1yMinxd&>f_L?UjaNnAw)5~5w%5`
z(NviUQ5zeI!I;2GWXtJCzU7ZtTkad>A$$-D<u$U@Du%0e0!G0U1d4r3Z&W!~+IpR^
zI*(eR;usZmKC@bRh%VY&pme5cCoQ_45gKa%!nFd_rN%G(pq)`O)SN&Oj;n1bYO4H;
zcFOf3vJ+nqY~`l&H|@;ZVAJ&4sx2kLJX{Ws0|Qd+Ee7+ySQ!m(g4eqF<`#2|LIDrA
zt2~Ugmw#gC<UXB~u||?JsNt!|O}U-CCbBwz1(P_<^9!pef9JLS|5%$?Vi;e7LRAgp
zjve(!?2r>M$P&IOF^qH4Fp^hX+W@}8&Z*K%n_vJB1Mxhh<p%IIc1F#b%n1|?-~^(j
z8M<5S6zW64h>SOAMHtEr+FR{R+F;NW&}`7`LRiC~wXKX=4cb^9>KU|ic23q|&=`Xn
zo{D^E25o%CXJCfN14lfFp_Dn}VkjKq`{265+5rY1qU8`4BSyJ^NIF%|7xQ26r_x<3
z!%l}hbN>=LWNrT#GH_};Fyx}i0reE&q85ac)#Vcr_H6if$`S6?yIfd#SaO(?xAg9E
zuW%VMvQ+^rat};p-_4EJ(R7;Ek|}7G<j;rCXdRmQc<D{+Ck%1)=}rIv8MmW2IpMQN
zj5%ftby}104vy!1_&JT|yh9G_8RXtG2OON_6U<4@buhXepTTP8!%x8<Tj)HUBB#Dp
z*)LZd+wk8(<(Y3Qg8;jsO7B9y6SRV4^dx0C?+$wKsKf!nk7D7>%l9wkJmY!@vIxPk
zbc=>kQAtP^hs%n#YO7Y*23W)h{{TCV^eX&Cd}OMXDb5>YY?80mB#~UKVJkHYj##EK
zt<kKzyqp<@{{#7&55L0M^N&?spxMg(V+8x&AMFK6;C6z?JzAjM=mObgt1s(}7g%R}
zy>4fOe}yHkIkgjd(%AO*-#r}QBC`{8`yCJ0!zm8xM7_?M<F;B}KZzY&$#HNc$8lqa
z;<SsiZ|pgIb`5WM?Ai%p$L+)sq`-=E8?rhew{hQV!5X6j%To|FN?^$rmoyXKo29C#
zcDaVIW%$Xk|2D(^TkFMsvJCr!_eXIYECaS|)*dg(*vf&zt84&C4KIPj&YjGTR8~|W
z8#8(SX41WU+-oj(qSjeu^m}+4cpjqHZ*$r(X>QCq@L${O1YH~~Z*wqIyyQSkm0q->
z&am5~V1F#$;R;6sG90HIY{NhkcU6cCK`-I8#z_DRjj(iRe9vOg&9mMbtQ)rN_1iP~
zv^hc0cYA9@p8|X>-_5m(tuXpWzlX(O_IM_gG^;rbB50e3@QHAE5JmNvkiXq|`ICd-
z!}~$wq+~5+Lgoz7xPWD8gJJ3W-T;k>(~8eA+e8LsR+YRZ2W1Ye4oh`#iYu%T7MxY2
za0zOGohaN!IqZ#t^2tlX`0MsoJ<QO!VWD^8wZ~_<Bw{A5ID1pAxRB9|U6F!~6?-)t
zR^>^E#S86_)r)qBa${=J+BUmNdvhul4%oI7$A>Y23etN1EK?;Q9JTmJLcPP1X+(g&
z!U1Jgs@IZ3j}EGu+X5@XIv7U}$SWkEO{I7!=X<i@h;I6xY$RX}P@*zx6#fuenECJr
z*E=R2&D*4zbao~1I_;*mI?omnX~!SESH{Zh6)&nUc+cK1rcJSkPpV0B{y~=Y);bLd
zmssoHfPa_+k8w5Gh~=ogR^Sv~?_LJ)-%H9HIfKn_!Z_b87MEr_y<J<$cWAJ8PMly<
zNHArn)-<PF_FyTS_L@N#!hSTlc!xW9=EO7v<_b}7RUw%cHU)5(ypWzpu~`|#6x~}k
zaSd9dC&DknP(;pb_$8bMVsIop!%%(%{s6j1(;ZGDlR)Y<e3c8->XFB7>3-2juiFPp
z8pLWdY2}zVjh^$(Ij>cp4<cwgAHpGHcR=ixXI106EdF5d^l3jpewjO5gNnm0{9{B5
z*Y-mR)pmX6P(bQvI_doRdoF3aC8&lRqDRwf$uSu#RT8?Y1vtMdwQ+v^eE859bWv{J
z0ePVEw^P>eLHHx$Wz1$M@v{do#N;%(upk|Pdq$J%_&BN(y~wE#%$k{IQLG3?+Bkt(
zEzVNho-#3FQMK@03R&3iH)iShbI3C710ELyD3<`CFV9lDjrxMGR5Dp4k0BGDQ@NhY
z!y=5Ro-8|_RPuK;66K13UBz|gIbyjytEw|$3Yp1#Xwfl~&U^v#mLo<wBjGCOOaZMD
zoiXIQW&PqK;Y>GB35dVW)p*_d<d|NlsarP*N49}}EGd;p!7v4EfWonf>lER|dJuxY
zjlBBEWkqhP<!^}<iQadCe^t86<*8gGgcAKNVPRAve5I1HE71ftUZ@WHk>~p0M83Lm
zt`&vZ2Zd~o;JOv&FjQQQ4k?U;rl2qdWJ(mqkndGhL_-3XR>}@api>&J1pl|L5?HGY
z--g06AHKCht@p94IH?>H;SO(NSzkw4!`H)~{0P?we?&=3ryuZOGkH%=gXM1tDCy6`
zwIq?xfgi*|at<7xQs}ZVMHy{vdm&Q(ay|^|umQpT`EUhF*t7u^hog(^)<W0by*EH}
zfdLWu6`{fPomB82P47WF*hD+%H1M(di33NTPJ+`4H`go6&NDFUs~*BBw(H%RocW$e
zNDs*s6}37v=Kcp|rWx5jVG@;;yfprjRSX*b$NZ;r%XMNA81{gNPsy_B(_8RdfC><u
z5I8FVk{(F|$DSp9dj1*NFn*RqcX*D%vbDb5HvHFGsq!I49XBky?udqc9TIeoMhoQF
zrf{O$;4FvIZQ-YpWeuC@>nRL&y%3#QIOrmh^0M>g$_*YzK2!hj!%!*P8W4`qTm2CH
zlas*k7a*nL&TQBXa4CEW^BeUB(SyAKTVHx<QT8JoZrHB!G&D&FGq?X`2Mp0Fe+;ri
z$BPOeW-U8DL!NENpuO@l(#q+ZG5D7H@EgEOIt?2($ee}W#GiC(MEO14i`ZdE+*<56
zX)?!+IA4Taw*kK&g56CuG~PH~+mbW?5)P~QQ5%f;9W{-)&O!bxnqt$_U)_qfvB*A|
z0n5nq-fZO23pX$d#?Q!sU0iTP^!#n&z#Mq>XW*oqSYJ~%i9>#P<Mmn*o(G{NH#9iI
zWaY%o*MmEAyYp6v*3pSOvPca-Gvj-x4_OyF!d~SQ^A_vCBq&0q0Dx+-_R3OMR9|NE
zf&F@i39O1Q@_0G2<)(m%eRhzc7JffgL-O^@!fK@tZ<fq(Dano{%;hQZ_t_Dp8Tnqo
zqNL>Uc)b;mk}bBcgF^ZJpmKd&KamyQV<%wV2+0W;w%FnuRo<1e2XYFeJJv8GGE8oM
zT&w9Ha&q$!0jN<lZ}enP<Oel1f-KY;4zGlZRIPG;<%rR2735`#WfQ_8e&!|Rq8%?Y
z_iKzJ<=j}gq<p|mz$_`8fI(95O^KvrNBGc+b2y4K;_Qq_9*JkPnzepZHkekN7H5R2
z&5fTfpjy5k`(N6bHKWQ26d~COfN5(f&)EsoM}ugr7l`s5*?(;3(*}g5eKt|ovMQ~&
zD(WlBCK3f*g(K5^OOH@jB_%JX-?X>b+>95YP*vN$eJZbFnj)AX<pc~Gi*LqiEY7ZK
zYwT5aMwMRLB#k`;4CGNQ*VtFvnKh%z2^ciC=+@tCCr}@a8g6|Nh;ofRW#`idgr<fz
zQP;96t+#6IRV5Srg2L_+8HK)P33+u5?9DZ|!Gl71!73kM&)W%@@#F*y>WXhl)V1bR
z?4M~hX?8^El8WkCLm;0d05ytMtV^J%apvYz*7jP@+}OKAKSVgqy-p!|@^@bHe#_3!
zI!@j&HtVR?_`GoVCN#QW;^51GuU06h&S!L2yJ#RMFpD;)`I;3Fb^2XVAQ_QrlbWxR
zL{_?MA$-Zss9B{sfg%(JFX{i;32drr7J(=qD-KNOjgh9%HXz1IUidtMU>3fta5xRq
zmraQCeqVW%iY_z4aPO58kfW&YET86?qrP{_c*@B)dr1pUHkkJauMDCt?N@_H5bar$
zClzX!lg2Q-5v6E8e63xW6rsmBFdiG4!8WmDLyNrdxP?U?!WL*iB{Ha#36&DUo?=nK
zeEd56HpHpJw*blTJNWdY`1H5(>F?ml5Ub|w;vG}#x*81@9N!Ye&8`dmv++3f8*0X>
z1?BSi^vAYhd^%%$TwMCTOyfnNLOhypdr-p8cv4#4wuVvW<tXa#+2{rW%&p40Ag0T>
zBG;6q(kr1evcU2#fw-75WeL(u(58ohY+?OCa)wU$7*?YNk{4z8mKF~d#Cfig&gOl*
zDdFKKtgS2w5C0?-s_K(`*iOJaZgT>Li8#KwJU+>@T20!7LKy=pP62E9B%dGvHHv1R
zgh7!XFx2^}P)ZCBzlW+-!o!<%ZO51G(3u<Z`;56tk>an}37Cb36EFx3z9|u!jb7XF
zO|5FJPwPuj-B9t11z5`iPgA?{IB3k8VdVsh&V=dej>C2e_2DR9-BCQ*j&n5J<X(iL
z+?}}I&ZrFvO&6`wULuS&LJ4<R8MTHI><XcW5^Q_$Xh3|sos)G05g3CSo{EeVZQJ;~
z7(_4)zu{NF$CIwdgq%AW))Lvv{A{3aZM<rbD~=Y7NVR}L2Z-Ce4UUs=V@=J^fD0c1
zi?IoA?7`xsR=TfSeTqnK>pQtAH@dCr-744JgV)7&;r@5$ybqgk_%T?V)X_P7b|_Q2
zt5vg0feU{gg>63kP-U4DUh1RR1m>mw94`#>v>CjTc?EXW(|K+@Nv0fi;(M`XQn-~h
zmq$Nsmfj#PEP(sV!83&0%zdwQ)@v`#p2+r?wjHkxCv=g>ET6Z+eftQPLNk3uSyf_E
zUY;RC>0dCEK34~&@H3eESjd5z0F*xkDFo7N27tmV!zaAIuzfjqekeU6_n#FIQ1&?=
zHsum+Howf;`(Igmf3Hq^DR!YW_IIhV+PJS+To5F2O6ot3$(l~FLyMzy`w3KZwxc}<
z?dQi-fu(*Mn<IK5vr_s;2Qcd=Fl&y$uT>!MD~y292e}hFi$mS_4j-=1z#GtGXL$``
zO?1z1QMd8lCA!An<tM@EA{bXas4n{Qa#op1z~8Z^d<Xwj+7bq+sS<$q9|;_6TW=9;
z9=#Gq5pb8DY`&Ko?5v_CdbMvxM6dSa6GgA+sVsWM1a>3Qt9!{dHDNP@x9Sbn5yFz2
zEN`tDyvh+Sk6=Bs6(d+0@8iN)*;Pl2xsrJ5SZs`>?T`=l;3APnp)(fndJ?g^pT%VM
z=86j)(o&@w&}8)0AW7vqVBh9<oh+MPG2M{uLfoyO%b>~vLxp$hHN{h`pnzBW%;Wk-
ziH#}hRT2-n4GL9_2ffWs!0dQ&0tRmi->7o1{_TRER#W*PS#gG6BOc@ufEq=!W67Y%
zn_$)bP<^IbOw}r*y~v9`Q>GN*&4>glf8J->XIA54U|^CmYAdckbGhN=RH}JUKTSwf
zTXKEI&Z${KIe{V=h7EO}wG&V}sH&vlroD9nv137QL&wLwHF(a>X<aD50BHpNo1MTq
zpg<bygaYpS=jVtEH~;^IolhGOV^vkS?IsP(3WpA`unBJaRhiqKABA!52usi08jy$l
zDvpBDLss0J8}CNXP)?xPxPz`SpO4YJIT|MLts;>mz2$Y4l~Nl{%!2Kj4|m|7T2tg7
z#I`Zl`R`>jHH)l>qcTMns7S29a%TNjZGrcdz%N_i{XTr6DKb5kO_3S98<`^CjuYG3
zN09hcf@^U6h`yar{TwQtZ7iP<e`G68h!G<AP#(f;Ic7AMsSqnbXIrx+*%<+vw6sc!
z6kVFu{%~cv6=OFp#@--HrCS}wY|=mW>XW-=t4vc-`xHMzB)ki&!7j{nGJG|pZGtV;
z1woil#sZnp6TDI5Oz0kVGM{dnk+w0PC?zL+7gjnSzLVE2LL64>MR9=zEWwQ4Ba$&|
zF%cIK?Es@^09Y}4@L@K(e00sUuO$Ye%<LujL}rhk%FG^Pcq3--O{k(x7Q)<!^;^Pv
zYFa-|w%iE*(pEKslJjx4@JQYk%5v*Bi9f>ybG%fmCh@0bsq_i~HM5Mn6%iFP(p;L<
zd>S*JmQAg1Co`DBk6|^`z1hf>ouh&|oSYr+Q}(G)dY+%(u<~Q_RdEb6aiUo4pM**`
z!D5$)D>vL%g6Pnw@_r8axKZVhGOFNbXki&g4lc%bvS-6DAc^_#cPe)-Vu(8@e+o;m
zG3GhRW~DJkv<fPb!kLLg)iLHzfhZeezJ^aU#?VvQ7{eIe$QW}k?e7xDLN+qW)Qvvp
z2$zpDTQcma@jh;(Q5;vT<od^&Z*u{yH`aVpmfD)}WDOnyHXCjBYOeu3I8UvmN;^O!
z&eU#D=~D07J~Pk23Ma9e%Q4~{w(?Up;+Qze%uDz;(5ss;;*^T57;~-&-K0_HB`){l
zMx7&k)ImX$*Jj9Zr{t}axbOz-T{!z*xs%1n^CI%cMxNL3!nR#BP)v9?qGd4hNFmKc
zqw2`>CLqd2o;TwYjXd;JHu5lrH!|}47<?MGxs2QPo2y=reJOM!tDkq(^l}X3%SWMK
zdzrnR;+KyWjr@-ri5|;*9z*#C>y8+{ae_D0<9(O6JNJstd6X@x^x=~-ZoJrv2HxTd
ze$!*|9&j(;j86-6n+#ky!#>@P{}xwJ4;csx*TMKssuvmbcUyJKZqVN;%cfUUhh{6P
z`?MZnz-6nd#`o&V>TFhl09{SWV|`xYWpdX_R#;;wRCR^*eRcxowF*wau)>OO)WKd|
zVa0VPS~97$?)8*bQ@Imx`PaREo&eM+npapE6nS%RnnU1@`^Z$SvP>XC61c*eDN5Kw
zB+#tnS6J`3JZ7QT88fnCZT;;(UG6SXC{<g9`#d37ZDsa(JGW-Z<^+nM7?-L4(oRC@
z+KMt-Yni$Z7~ipTS`&<U%Lt^&%+#K|LC}<{K15d9>y#qvvi2+OEvN~d>3sS1b_(?|
zs&l@)C`B@KS6J9yvNLLhB0I`sMf)uqAW_s>c1$5Zq&{S)Pyy|9CtM5(`v&0K6YL{D
zBYy4hW{6*CXV;2(H9#)dDO3O?^q`8%hlgcr#Ru%X+Rzv~MvJW#rlB`096ki5bQ4_t
zV^+UF9FE|V0rIFH;WmAoM}7ESFL7wn=}0$EI@IQuQe(nr5pdXXZO2`a5#diijNCDQ
z`s2KCMSohf3;bz0^~vy8{AtTB;{O07nK%6$K9M&~Pi5XTV|OFo^c_KOC8{01m3#cx
zu}1<4mO9MLU#Peffz?Ez&@9$BAyXm5$9_n;AV=^|tU_UT1fQ2>x8^Pc*7ou7M)L*R
ze=S?byP;@_v!k1NP`{xS-SC7dBUEj8Lf-S<WBD1;$-UOuo!K070!2s+7tS2A6Hx3<
z#Tj;ueYQm)%4bH`+4-~qkvDB7-w{_lGkpnPKnc+#Gj|?y8ZH>7PjuxaYst=|f~9ao
z%Lr#IhyNXz*@V$h*&IWfDB|5)a>o+46*MUS5m#UHpj_b+b5Q||ezK!8yp_?f>=JW!
z3CtPjY&HPC3!i8Jq^FVrklU&CUI241T$BN;`@<G|Aq2h=SNE$EV%rZ4f^`=$bA(Gr
z!>zg2rtv;5bgZlfX(iXch<RaMMj?@<t{h;qiOt?3dbo(0PtDuT_sa&G;;{CqP6k%^
zQ&^2|y0g>eN7Jb#c2Q5B`iHF4%Z3aS-OQ4NJ*adOEO)7p3KPC1mn`#r&;6FiIP7Ly
zo*fCjAv@yTin{Qf!(cgp??tXT=L7f_`#+Lq@%}-CtC|DpeAO=~<s$q|WNtqEY-Q09
zj#(c|Fvsj!*}(EyCKMA3odORSnxr6S0;LR1)@_`>3q;w-^aXsPk%^v4My8N4yb;&z
z&W_hxg|67Zuyj++wM|B`bUYgGo$b%!0iv$;TlqiZ9bIp$%Ad+o=|^AY)z?+}<Tdue
zVi6ZIsF``6Qt$%1E`CbYA>Z{y*|z!yJ;NpZUs#Q1(CH8tKN~bjtGHTB{JU1#W#-&O
zHPgQEd8l*~%z04^g&p78B0-b!uX3P`23)<Q<F$O#34ZaI+Y0y~D}B}+L@tK-*?B*J
z+b7{vQYUiTUR#>*b(EBX7`}3jZ1`39r*wyuDi7R-Z*g@b><{xs0rsygUWakHJ~p^e
z2RiY=?c-SJ7}woX5bUsjZ}5mwBE;H#$y?dUX-NhcyKk$*JZz7h50{|CxF{<BL?Jd(
zJ;s8=vnER71CZBMsFi=BQ1q%8NHPOts-IsAA=FS}4r6(~AioyEI&WA7F4?@n$0wRM
z&{N60VS^s+odXY5eIxs!>dqM$#SP3E-kFV!oO|sX@7i8`_+k~9w<YI|y|vP7C20qe
z^1*jyoE7}CO`uc!r<8meXWt8bRc_ntj?+b1_GOO|8+Lz**3;;p?GL(Z<B*eSX{a|d
z+Uw-`voAjF)A9>jRY=eG)kh@Wra4i`W}^`l%7=@~KRNL0b^_)oDJNjqY=m!A*-|ze
z8P1|K441cMvGF_-zope&?jBVPJ7<Kd1>yfq0oC##{Fm*_no;EhDh1)cW+$Kojw_;3
zBM4svqC5!ylATW*5c%QAD(YHRrS&3gj(fd6$T~3F7f4^IB~x2a*Rh9N=l10VT@y$1
z&a_!5R8=vrwi7TT#|an|6W^35=1v%Em^m_t9=^*f;_I}Uw3aL2R~0>^QB4OI2|$ga
z4eNDE##JS^cNgSDez4yD0s9B-n3-Gfc51A;v##8Xx9kMW(!vQCqy^uUNXteq++EYE
z);hDk_|&!I!vd`3c09E+Ylf8*C@Pcb!rhPBDb$Cf&V{>0D9SDQr|pc|pwN`iChb~Q
zrTIlmK0Yt*+RbLH;m_h=gmc6Eu3crJ*3f5$Rog$XL!mHTW&t<0JL`);-{x|1sKn+e
z69O4_;RQftbE8yzTF#?Xyc;MY@i?CzjEx2ze}G&+8UJzEr<5t0?>as2Jh@E}6_Qb)
z8YSfT7JeIhc0T-8<qj6npO<?P+~y1s(%;}sg6T)LO7Z|*oC&9lVlQ^wPRH>sz`d_<
z_1`Qyp(ptuNVokAyne@RLAC$_Z@7knkvQ^c2zilL!oL|+XZ<v_pZaM6|I~@ng*&mt
zHK%q$CufKlqG642Y&dN8eix7Tz}2|1aOTt`$t?NYuc*VR2#OuSLdS%@fXW+!Vup)t
z8@ZcpfjkBSvQEEU^F$rI?h!%?CmdKNgMN*uYw4`tvInxj!>dj-U^`f_x<>deC4iU~
zoLD{^Dx~K@xv?@RVHe0f5q=RqDj&WCk{o^sKQDg?v@bjZZ=g3%LR}!+N7EfnLz}ST
zD^*H#r!zdKwuKxa&c9*z(_6I4%BL^L+>kN%CStBUt2#`u+gNwQMrQ9qzZ0~AWb|Y@
zjr*F{`rgQYf%5V_&f$GfaXB`0slEhe`|)wO98D*kKY!09{SvtXen-=5tBH#2?y3cN
zN2<M*jZ}tkCPiQu#-NKG@ebAz$0@5_KOR8a=QO&*P7?Itz$@Y&lYY>PoKC>`DW)!L
zI0|}k;<;@H7Ao8xw~nYt%x%c)%vcZey}+vqM7j8sOMuXhi_~tTcHk?Oj9okC@~{ZQ
zrzgvfC*${FjYN4%6rH(5ESG0hbtXImnbV3o^AX5fju`2TgsY%41++?Z#*pup^^1>$
zGu=QXpj$du<8|xtF}+Yzw{8+sibfkghDAyxQu^KiFXzSqhwBvK#jIX&$f@Xfe+l?k
zrMq07%0)sb(eDu!MkT^mDjB;HO<?1N>aZWOhe=`nLaVNvYeixHjMyvBx^9K}OQ^UU
z9a0zxO+jG_$do9IA>XU2h=v3%t&|;<K&Lcb3BE7}*@6;St7P}=!-c&SYUK-uI1$v>
z=Smh14^r0gv)5_1ye_A%^0x$(B=PuxykM7$7lN?FM%nAI(3p9vG9gv`Z#dMD_qX|P
z=(eRgoY1`B4N$`7CL_ljVC1+K!1f;IE3?AGsI@XHTw)1eab=bbcb20zXFv$px@;R7
z#@1!&X>-<P?-GhycQcoI(&qJO?rYq~$7yb0Y4$+2G%G8^fyU3)Q!9=#7p<~sUr}9?
zWz(m&;*Kr}jkcxA90vyfYf1MXQrSYj{$Gr;Wii~m`59?N%gv8Ey7^x(bC}YMP_+dI
z<UPM)Qywh-xSd&Zgp?B~LShOQ|0_F%3W3MG|CrVZ78ju?4;KGtJEJxz$}Ovi0OJvu
zOl!gqAT1QmtYnx#+9t#_4Hg3i5xix4tLrYs0MGGWF-BYc3I}0C1u!-lP*-*v+YiG0
zZ{ULsPv5{N+BQT_*5N7ZUPB;&?}zqXHVgNELX!yMElgp4l1`GZZo17DUo*b`Uh+jx
zI$!>t;*j3(Z%t=uPwWXC$)J9|yNjn%m~`a&*Mrs^KSPIyXZ?A9Cuev8qLMpovz2rz
zj)sF4#1a-z=C-GEt>Iwc^^zt}Kb`IoDINH<+30k-3*zAz&5cLtfp*jyCP62L+lk;S
zNM5f!N~a!jJ3}wdzLmA_bUGuCBSU#yANS(K?e^ivZbqgFb)SWwv;609(1Bljlc)vP
zR<+LJTOc<Hd<|ex_uxttCA}!|l$WQrr+Z_smGp+)<^{aNas(-J5Q7Z*P1vj7g`zQ3
zInPqOjz=j?3_3Td>wsmT$P0Ab7=qW3um>X4(I9DdymMY>bZSRB>$@HKb22>uv2DOA
zag$*zGEJtFZEtzF3dQHny90DS@yL|tb|GaZ89=}r8#Q_&ont{$aU~=yR}Yhw6E~lT
zgVj-bb^c}38w{dB(}yde;A8>djI4sgm+oU%<~OriCaIQDdQ5wxRS_;81i_tS^%hHC
zoqwSfPWNLQVgSnLLHtp=x8wF!hwiEeh_}5_y2I;@(nA9e?yqV$+g=~!1IPpf>=b-9
zYXzDKhy?9sA0m;#1(<cEbM7#Snpsl1BLJb=+a7lNO(}Q)EG6KF0|q^}gFUs6QUKjv
zjNP9l^<!_?j+z&`C{p_&{29d_eF939Bq?bn&2vE<B+&rtYPN&eUG88*IG58xA^e4O
z4>SfBG~oP4)PwAMdA24-<>JwqQF;`gfJhAC2gn0`gSEAx%Xbgl^YSN%=mFF!kQ_X=
z09w$6!0dh7{^z$Q)49IaZ(_U_v=LTFfXp6Dp(PnqkJRy#q#rMxJbC{7`NjTP;zzy3
zXs~*+?VURbIpdR~^az$9R-i;P@w%|ul0e7og7g#D-tfbK?A&0brIEpujLg-7Oak8(
zj~4?kSs^lh((M3=nZ#WNEovwJ=+v(C7|3K7Zg=MDDcNtveUN$xIq#3x;A?3YntrhA
zci?}J--%At199IIcU@4l$A+NSF#vUlezTv=PSkQaw8vULtdO*z<C(qz$^;>lK0E9K
zi8(MzNss{k%nm#W(i64t=w@aZ4x*`uhs*hV`@Qb6*9Ki(16sc4VT}Ap3pR(IZF*fd
z=rrASd*G2}cp}~D_0El8evs~BCIWO4#0x(X2LhioSuCA|;Q$Z<aY?{Zf+)b}1mn>~
zFk-pX9<2FLGSs#rf51-5m7q=O)0oJf!(E`a;UxSMr!$yLv1F)|UYw5oAGiohDfk{n
zlw09Dk5fFbe`zGXbjp`+<luZOO>0!=Kb;KXZUhpG{_JB|*Rk};E#pbR*B5Z^0quiz
zI+#hH@mInRPXH=U;Xl)p@XucS2R~{`-+iU;q|n!l=$3!_HbRKEN7D_{bgO5GH-FNl
zA0b{0LI<AdG&UWe3-OR0oxKS0d<Ly=(=Gs-71GRc2-l-3l26^X7gk!xOrVaj6f|%m
zACnI?h2;Yi0-DlYjyh7ADC=P@QRbe>)i@)lQlW#n`eCdZBse%8(d*)GwxzRRep}HH
zjq51g-HJLLkZ6!y7=owo=INI}-rhHQ01Qaq9e_av@r}XqGlJ3z=aP5JWYU%0L9f*r
Xw!!#Ct7tRfLz^&AaGT2db@BfLGy4^w

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.data_readers.json_data.doctree b/docs/0.10.5/doctrees/dataprofiler.data_readers.json_data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..f47f304930effb05512cf3c0a4a5badc3484642c
GIT binary patch
literal 55846
zcmdsg3zQ{CdEUNec4l^Wc309aSfdq<6j`%kcXkDcNE2yUYlUQK%?b-h5bM=d&%Hg<
zU3>5CtJ{5dcPz`oIEu7M=U9#|7C2ZrfFH;}WP%S)V)G1v96NS$zyV7MIS|Y-Bs}79
zl9S+o^8bH5y82OdyYGy`$T~-}eXHy7*H{0e>aV}5-!}1%x#u>~f64Bs=Lg*j3vR2`
z4O?C`Or~04bI|d+@$iY^!Cx3YG@MVS`|kND9Q2#sFxdn-ntsr3^}X)!%rKe7>~YYJ
z7DV~&k=Klau&avu6aJ*X{mgLQpH3#?AZ~lwt7Q7FH{N~9xy_B;A!dR++ur0|z{d4g
zj|_<tsOr*WvgbnE@zCF!Og9v<{?=qt(0D4@)(*Pf@YG<*O=jFU?gvYQ82W~N*&4JW
zq<ed_?M4wK!t+Ge?eM3m)}WXESaO?Z``$9<86?|dcLiS!{oVeYztg|M-|8Po-gM;6
zk=Kuoy#DXJ^_4fh>PW92vgk+)dIL|(LEGye0ScodoU+V|1<cjxdu|KLFR&==HZWzO
zA3@iyJh^4C<ZntQf^N&Zpy9=#^j`*D@m~&bT@C+V1OHzO{~yF|0W$r7Iy0Ya>$yRH
zn7pDBwgzqQZ#g<$hUSOKbv*asDw+MsQ}NIp_^<E}YnVJb5|d@mjR$?NvDA0FO+Nz*
z{gAL6Nnz=&E+Uf9x$cS+E?4Rcz_=M;oKB{JW!#m%+w(Ojlj}}|-PjGfkwd)T#Gw<p
z=RC*lww!k8wj6Ao8d~7IxxZGClxI%>I6uJ|=9GUWvZZkV5zE&CUu`H1<=6t23tS~g
znKt$#%ZQT^j2g&&@;6c1Zv!@W<~im82Utprfh!LVlS38waY5ETEM-iNJxJ9yP;^a=
z6Qq9H1lkPVG@<|`9T`;1ll+pbd_L&*25|$WyU}xFf6=+ShYHVap9c0k<J{t$3cKDR
zVjS(=o4b(bbPt%zjTV|=-&<JjgF0D2G;YVILk<>C%ZF5Jq*ZZS(2V8#gT#{a(3{;v
zv)k>4v71x8$s|WvvakG^vgRa=ZMzz4Ces%>?Zv3)q8XU#^*vC0=e!|uEQ4B>g+_dQ
zgGj%|3@CB{)J_f*SUObW(z^K*$=|5LTN1-+nX?E#Y({uK*#Yc!7~mwTl3hq7jT-&-
zbnWi{tp6aw{ZI<G|8t~Jpm)>MyL{KCB-cvv(}XOEzicCM3Q6SjO<^-;(tfFov`dII
z)WIDu_WJDrOq>S)BO5}Xlss`Aps3X;y`~bSswNss)FzGmu<XuNBuA%^o*krT%!8C{
z?haj@S&&ga1f%gZ@&08r1V~D6&~3(pf~MHKC~1JFY^$HNwc0DT`f<_f{$#V0tLkaJ
zD*vBKW0LI3s89vq&Yst8f$3;mfN7XE5MmazKbex{a_u~;w_~=pFthcRTVV$#0mEcV
zZx!ZGkPxr-K*LRt5W*}JQ{4WF7lYPQ&B2snb&=1MhRM|x^arZU)kR+CDIA+G0ZLzh
zvH64oVe@G<1gCTT`L3lue^eND9008P&t%mKudQHWa#jDpQnfy_)S&YJBE`x7W(FZ@
zKnKVFc7=|^<Q3=sz%XaB)UiFAH*K;IXzaU}otga00!C6a%9xZSX0MW%u;=yNIP7Z-
zm~6g9k$g*z<m;>?C!529#ISiR!bR0U&vY^wbZJ$iDb8&;(U5fT9~sGIueFl``f1r6
zwByD(w>|K(WF?nIgI+J}$Bn4t_TvWzA+De<0_U<@6ty{&HFlAv>bIa<?*lyFFIh1;
zhQgvvYHH4lsJru;>ez<$DG=yK7KD4PAo!)M!QKpovchT9k8H)>Kq-&P28zQ?Z*-Q|
z`g*<8Kc}mrCg3V+f>f1d(R#?<8EuGl<!R9fX+tB`0$VMhZd8fvaXX>qsEY=Qa7+-O
zIZ1xX-b8&YL@VnH#E0!v)&yeCvO>wh^9g&y_2IF$JqBo74mnaW;A582KX0eLCTvB+
z%D!T6pgug+Y-@=Sna%6>>@-?I&?YYC1~zZ0Z@)zka>m7~rwwX!u*42R50&k)SnVIP
z63T9XYVvakVYWx8a-iXuPQyr}{R%rJcjYM=X{iN)IXpG~GaKtGL#q>_V2rnm{8H@H
z@2u?IX6>TEBp-)DRZa3e_6ExNS~O6?OZdiMl4q4kChtsbd+X<_uC`cNCwto}Kx($P
z584SWhg39Bw71(3t(-=_Xm3Gd*ospR-pFXfQG~&)(B5q)(gs6L0LvAcoe66wwBNN7
zYE@_>X{e{rK5M6B428xC%;Bl=M^2%Q&iEc!rU(b7@Th5J&bYYE0$WGmJ{cx6=nD&%
z80>NlGv2vmvX(!<|E52gOf3)EZE_CzPoPtv<sZQIPi_W!T+}$U6y=V~ChS(|+j7ze
zKkpw`2JX>YUD(rFbhx8o@qV*o0vrJY@B{U|R-+SKfK8BvH-Zn+ZN1U=y!bX)QoSBi
z?>|(bswHTX?_FW*SoVIQ2KOi11wpB(r%C=C`^y|_q%Mo(&UNbpH%8OR_I3c?N4Kr5
z<Jtd30=Vzt_*%hA`w0G)IkstQ)@WokJM7MpQ;WNuz&CW5`-U<sg{$o!B87A8`|yu#
z<0zRVS5~vCH%fEoupK~Y>d{f2uN_dMccIq~nn66gNEyz%{VqIe&M)>~fiTU*<3Ew{
z2dy1c?khWxY{Y#9lvCni5YzohW{p9=>>Pf>Xbv}t7JD90mr~CTBByaCwrrCX>&h|g
zE9?x*W{^$DOFEieuZ6so*p<BmYt^~&223dWVU66#4nP57Lv|%R`A@KyVGZ?=5M0Jy
zjx~_}72~Sef!tm@7J;o=y~uY^R=L(rb@Gi|u|`s{ns%Eb(!Z3A_72si^Y|60SvR{I
z`!&a2kN;5QLe-7v4J&r#Sl`(V;=pYOKkHFUiNJa}?9+}u#txvCkGwd-AOiICJGeuZ
zVm)>RDc1LKtbe91*6cKvxboyy7^u?T{l*Em>nwRr)bpCba^SU`rB$Z~VJz4$*h%kr
zov^=3J#?VQ=K|Mp9o(meOtHT(!<Q<N1O9A`d%#k$&jD~c?yBRqqcB_lfU1T}Gh$)q
zv|!#2)rqaVg_$>m(EJiKAu3-~e$romF;JVTz~se2FYpE%m$4?Yj5VF?5;LO4Qafy(
z)#gRXr{#FxLL)vu<G_C?It`GejvL=Xva^UG3x}Mh9|ldFc3y=!D6HYCL(Wxw55gQ;
z5k6uh%~gk}66dPrHpFCkU6^^M+38i}wP98b>1VywNVb5x#q-e2LCVr|S1~jvlY{%h
zi4v9h%nT2Z0JHqpp({$c(9H5dU;vwO70VyCii~nVs+F1S=%)tiPqlGfbOsRC;mDD2
z_-LbYIqwHeA7iBY9xNMp*v?E76jIo2ucFofeVQsJ)U45rtcHeb(ZOMboTzu?8)vy6
zc1R1s(kAG8Qa#V;1HI_rxKh*?Xdeu<0WC+B#l9OmEetB?K*S%_BMM3n)L+leDSlx8
z0LOTaT^v^@T$1IA>0|~BOS{#`1!?ddWD4P=_nNLqUx}jmV27DENOKX%QPGoBUx>Hg
zSEnQFJ-qi%;Xi!kj4ndeiKVc$TA&nO?^uFmw-=i`IgQ<Kz;dxuES?I^v0M~~Lwd?N
ze3<Ml$_koSGQgbcQFVdU2HUK5ZZU#uR;pppVPSVgYceSWgot^5Aw7%YXDg$a;JjMM
zZFBfoVKR+N(9dv`KMDWvg^n|y+D#fYe5KDT({()O4(Q|_*-5X{^W7+j^lsADhUgkS
zXS?&CbJb^;(z&P?_MbSp&l0)jtoovZFKbGc7!(VVjd5UKfr{Cm!k<#KFtCFus5T!Q
zh1C9J!uc<6dm_I*RX}uqat+SnMst;du4(~6uReaGRy}j<V<XT-zWIH~1C{@C%F6x#
z{*g;o!4;_}-GesBneRX}LePWRB-xLHC`$AqBR)Y_NEUfaz&1rOIIhq<fHfkKB$?wr
zDE6<lW+CzunvqI~|4?udBfn%@mXXcuW99%UFPB1H26@3(I^KDCVPDp%p3TA{>CY!;
zdvYk(gt;d;R6=GB63OPQy3DZe0ga?Sa!#T$nOT5}&4`iAD7XqTQ$WigGbQ<M8lQa>
zoXHw00rt;RHCndzj2MNQvUP);%g^KDjf6_3=qo{Ptq3nZg5Xh_&x()Q&J(Iy{Z?3!
z5Vb0^o|z@25ZzB$pm(icbnsPmA=-wWm!iXeWT{@wRcDq0O<>LudFHHR3(SL1u^Al_
z7zIs1U<$|>1g0e4)m2zS0hd(D4nmM`X|xcW8G&p;2&`4IkAkuSIz9sb*p^OM>xX$(
zoKy~$?6tm|XMGoCWxodhWG&o0d#{$3Y`=%rPHGygek(vpem+r)6U7|(53rD$1G9go
zwOg>Zwitv&yqshIz784S3Y}wrTw%-vx=3y<bnOH2By<-DkZv>ofH>?i)_E2GbaE@|
z!3OF<XC5C%98gh*4IFjc49={)rcOzI^o46){a978Pxt3|%=ctMa)}K0*K0#P?mw>b
zOslR*ZK$PW8F6wVt6{TxZr*>l|7)53D!K0prvTU%RW|w6jdmnNM~4oFoK@(kmB>8W
zoW=aKe4px-V6b9nL&^H(K(164M}7UG+Y3vO2eo0}h67DTRst!u37Q-;IK!ij8M_Qg
z&S5ioE&B1URcr%CokU8OZC+EkyQ3OUg`WKY6b9djXMYacEbQy>C&PT~n~+j179aNB
zpJ4wDvzG}BA_p7s8=P%v@9}w|q9HEi+t3}!#X{kmPKlzC`xaz}5tkK!n^28-3ObK_
zpe?^?rP%UO590g;yB9`1*$$Brq{G--@h6=Y(tdC6hWtb;29o;?n!O3Fy;hC=I_Xj*
zXJbvR4eA}I!mFUP7i%f)OrzOjhnnI}p4xC4Fh@8^y2Y^USB525kc>;JKBpy;D)LrK
z$!duUV`+(4m3onYni}3+Md-lB<WjR3J*s+JwqI*Ez$sGf?_o7LWq#@1^3>{2fv=N}
zuBxcFecJg9?QNE}cUWoDjhe3I%cx2f4(mdt>#yZa+$%Nx#urc0_74ce%eDP+sr{3E
ze3_AMvfy5c+Tu36RfEeujLpokXDW{`!ibR&JuJb4CqAf1HP3Z4GbDQkl_*|Kxk58T
zaPF9E>Z}!F_d$E?v-qche?EtQ?pIGPJe61+K`@>U9(SE^98R>lXfeh&I5*TXII=yn
zt$Ejmvo$Hrqs+`+WoFVc<6D@o!m#TOA~P%M8tTicRI=frOpVJ_1~9NIX@Zh$axVOL
z)xG*AC54847puvclxvhpu^b{&M&?@0$XN4d>HndXev{cLqdZkG>`PGT`kS2+Zk85j
zLvt1xo96`1qm0cFVQgH!Q$x`ou<r@`@))p8*Q?+zsANxNhH95nY``v`Bm?zQ{HIPZ
z8+(?Rmb$l36dvUa6ze331{f&C`6>TYHBd*OQEs4);u9GtdNLU(PVia`)Scw*fm=r!
zas<Y=RCIK=swa&5SoDU?ChNT$&SVu(gFBgU7%WSq%a!daDLlRryQ?yn>qhK$RVsP$
zfSX#gz2y*sSu1&?6a(3}dsWZt+qV=o_7<$>M`7Pqtn{1gTN&l4eqzU=()G7*HjbBu
z?#01<WD-sY<VRV&n~WBZfp;sSpdaL4x=5_l_N}1?#q8`Ck=!}<3zhjrF4Jzs5`3BV
z^Qz0{xv{oPlL&zoRPvE>Sye0ePH2={!FS;kSwVU-SwT+lTCCvff~Wz(RpP|c_!h99
zb1>7W+4^lf??aC8QI;=tujC4jZ}mPR7*lTKnb}jfde5j*8_+qJ!-hajE#9u&Yk&@&
zgV|Ii{AB4qt$JJE(xphTPhmAkO)AOkX-Hdtdtu@eVJieBq>Dc&`Zh`zAH7Wl|2D%8
z1jq$T0R$SZI_Cq3m3yNS`8SB`IMwo_enAC3`!W(Y$Nr<BaWs!g&HDi?!8PxnsScW1
zThqJ}574|N<5gAj{tsxBYu@kS6KP(0GHG5;@LDwQ?ZClsUZCmEAFQc%d2}DFTKupD
z`!e<1WU^JG*5x8&o6p~;=JT?$dF{?e?a)CZ2p53UAguk)yU!eQL;#KE-N3W%>fT1@
z@G)m84BNDeI`5}jCp)RbyuWJqB%7#MkmP^ocHpK;>t9_*PN`BG(7h#*7OSmPJx-->
zxMoZfvY^bV?$uX{DKzYItcFzddzD-L#5xSW81?iztg9<jDhj37<xQ(XYA-%b$>MRn
z6%WHz8;79~EOxaUUeu|s{Oy43we|+eFGLUxlw7reZ*->CZohh|N#+DT#ZZjWTb<sV
zYr(94D+Xhf-0D<36^$kUBg22X0Im7T4c|^_IkcjIA{ZrcDd+4BXg4ZUgrY`VN&yHw
zJ}u%(GbgD@*Il$zS`&($y2{Q4=s#(1sXivz#;OJF6u^Ot5d}7dD-wU(POuG{bjF7>
z2&*#4Wz}Gi#s#kWV+Vm2P#mdxdx0(x`ZxAImtU>&8BSa!t@cHG1LdHK21>LVzA<RE
zwO%0ftz6Y>R%hiG_L()>Hwv(tHQMubV#{F_4HPw6*(E}|rm{${8IIy5LUo`pi>+fP
z)CNUP7OmWFU`AM1RlOPQMk}G#i-ha~0W{RRNa!v*C1YG9#0kvdY1M6`^TJ(1Y)bLD
zHj|V$koQFpxPFtXS`p+=0)Z1?8@<d<>&{xC(7nVJEjMqZnsr)%#%=p%!Xhvai7W>r
zg^_Iqtk&PxknX*zm4k3IZ0uzZc|Rru`;>Y=^!uJpyvc)u(dT_wB*Urg<p4e&;#`09
z=utQ@-Sy~-3tSgCaNg2^JAQ)}U3MW4b;B`K_-26eh^$Lpic8r);)DNqWkwZFk{7}7
z{6o<vnCYZJS9kwJ?6f@>2H-VE@rI2i9B9WgiMRp4M*|Mg<BxQdW_Y@fA02@sjc|sZ
z4-!UMt6^F9deb3#4<Dj`Qg?{hQ&@suRFY!B-dQ+uGC%rAjD8Ya%y9K2MJ%lXK2nEL
zc{u!cu+RaahfjjyDmfd&ey@af>w(o*ss*>@)Hfeg?}CfB6SVj;HG872#!CKADtBH#
zH}?0Tl(-iO-HGBT_a8zkaBtbEI((Ixs^;ch*`ukn;1lCkvcUXWt}^p%42ctmP`^UN
znX~E^t=7TquS3OVY-o9|fGM1*E8t={Q&*DjWrc&=ImS?2o{Y>2_B7u@YD;Mqr%hkD
zN}Xe$8-XZ-FAi&ehO*iZYpX+l>48%ER1)4FDBYiB%&v}$3Wia?RsTuKub9qqpqUfQ
zgDDyPrBIiF(eYJvMjv^6^!i+NW~wz-Um)_#S#?%t{~Ly;>Urx|LB(cth}9J|1y(O0
zV_@}?e0z(GpawT7c?s;CuVpkl?;C+yft{^Y%A=v5svsod@FJQNeZQ<k?wB|l`XMe)
z>vc5rd@U{$M?+&QG{OREGnvbSh+kUb@-Lv#6p~LCr4!1QB^_^DE*SX7>hy)qmp)Qq
z;KdMOpVxVac8ItSenyjTLuAra&q<B_W}WWI$;$h%Q1zkWt2R=nIWuioH~xNQqQ+G{
zV!1j(`TQOYk6H0a%k{gX^U3qt2wklaw`&D)qFByv<tDGakcbwQ>o+x$nca2Tt>xN$
zl5h8w9cDmn&-ZG-10Cagwe)1zs}&oX;~r$VnIe|zopqLHF<^K0dMsWmG}O2=o4jK~
zMuUzH0NtfFj1dez0n+w&wS#bC{-dR2Rmap!c4}gl6X|@%)4SVLsf`U`x~n_-Iv&-f
z`n$O)9Be;UlM8YAAxPEwyPa}8fNBhm5(@&zx3gJvsnoZlS>c_++8{3}XFxVlF%5eq
zRyxOyTH(^Yf?U5IV4DaTBJ8jt%*<{$vl2Q^_CxiqsN>{i!ImRicR-_D%l#xiQA7$o
z8MK@rcr6hrClFC_jb+V{6iwmXSX<$VCe3>9-5XNxDY7XV!V>>}Sw{V-V&lgEE(wN|
zrq|4tx)!`ol}cU=fTqfDhsKw3o}Eck;!e}c2UI`ntHu-~*28LOXwyiflCLqsbaJ;A
z(FC!y`7iZ7Y^6unJ>{d7Qj$)w*ju2|^;gp6oGNtnhUXem)~5y9qpZlKniUa#e`QQc
z-zg?z{}`K?WACawuF|Hw6-)3a$6rxonuS-hDY92!QxspO+(7f@3O40;piyp9K8#Of
zQ|QTLQ#iqEu_>=3Z?M;GhWNSC@vTa|`0`AnX1lWS;>&Y{kFqRj+;Fbo__pPb1Y_2-
zEuT}RHeh^t4jTeBwJy7Iuetjom#T!HEX;GNxAiSdiWGYmt62{V^9?IKCJR$WNvc!W
zr=ZgHw=gD-l{RMMizHc@&j`dvSs8hy1oD_8wV<*yhPR5@*tQ*HX|~`$mExJDrTJIH
zT14veiquM$M)nLWjpEOgE2>(W9|MZHrMVoR$kNc0$<lCw*J5c-!iT6EOBhh!Sb;nA
z>BGdeL+e#g{qb6>n3AT=R_E7$w5yro*KQU{$sc8VdTLcuQhc5dL<FB3S%jO1@ov>)
z&K+`Cs(hpuZ`Xk{19%-c|H}i$^!xfQEooS;4@%!D!6GgGYO7S)uMj$_$|f(S;Y>sJ
zcjpF(<Ccb}mcG}&E<KZ0ATigIvQVE?aFrQMLwM~SPzZJ?D@CQ=Yj2=DW>7Rx5(tQI
zbcL(M+HVDJ<{d8XE6}@a&%<0zW*w|=E7&eL#P+L2qn#xHb1jy~L~<yydcJJlfT7GM
z%Bt1&*5xV|!~Ie@VYea@s8rZ8IPlfkk=L$|Rwxd}w5m84$NtXs9ulpkY6CMQ1a;0f
z2L^w@PHj17iw26Il%D(e7xpH!p{>ZHwa$Ii0ps7=DXj^H^{d)hF@Db8aD9lZZI8)C
z)^j4?w)dbWblcE8=j7_I>@C#Ch&M7O7?yJ(vpcieJ*Oe9P^8w#iuM(2Xrd^!{Nm{>
zM_y-dp#s{;R=AQBObLAEBzF5Sml}#2uE#{&3dk`#xmL`p0rFG!7AgS3Zh|V-4-X3m
zHte+8&=_f>WpH_!=}il>>p)u9e|dj}ZBZ~3i+nK^;CpLAX^dJ(Uv`HVJ2d5V)ap*H
zqsw0^d0}ruxaZi<+fmmzL@uKbA$8ng`=BUn3-5<waue{dQikcoCq-XdMq2_M-T_VW
zMf9)W6D^|Y$+U>(<gR5AeM`_?4r_X8)&0k{qaCm@<2sqI6l~|v(=BCQ5jj0m$KE!T
ziXlJrL$L%c0H3k)gM9(`0abPbh7|CQkM=B<-{k&r)ip5$Mg5zegv%oO*<8__Wz{6C
z;!HAasG3ni+Oum$^UV5LJF(?TSTs<Cq$I}sFYFD}N2A6e;vx{{19#uI(`f@DtJ2C=
zj2M5D3Jd!fww2?|%ttr2!`=Dx4Y(|4&F-?!*)%NW^3&9CN;3ORAZGn-U`{OwqqlL@
z1li&D3mz!9!xiq!mlc5DSdDQCwPx^4_vQ1Oim!)p<~Hw@_(V33o(wimsHky+`;N7}
z?h4$8Gj@32t7`d)d24GhdArs8N>(-gPT$F~MCuMzDtYop>&V7{diqeV`o_$H1cek#
zIun?b>3nZb{>*Bax2len`6%tPffN*WFIJONaH-D_&I^z~JhycAt!<msYFVqP$gx|Y
z()HJF1rC(@Z3A-yX}H@2#-$ogKRSB7jAqC4iCjI1(~2nT@P%~o#a}oKz&~56)*)k*
zR6NN3F48y0-d>p%#3E%Qiy;C3a0-0!Amr$Ckm^%l@@y0zo+u|mPu9Ur9x51Op#wr@
z4JRPA$kTnL>>#&43~$v4Cx#3#=<lyXJRSJ>4Ja{cDJl+pU?(ev|NnA@T1EK3990=7
zk}4jw^}5Q^R>e{V73Q#3%@&-m5XSU*ppwrKzJO0ON1&${XpYeLP|nBSORhIZ;H|A;
zj_{P4BM8ECA7jo%D~kE{A-bhpd&lpTvfMv^2)}WEMqb}m>3TQq<Ib9OmOU2MS^QLT
zLu>VK!AR>na@m!o-8z3mmEC~4Qg)uE4C(&tBO7ASNVUytw-#Mfi7Zhpy_T);QEs8j
z3+dTG-#Tj>bi=ms^Dx?37l8SSw!QWS%2&Rkfs$=we4{g|wryMzIXqu-qe<%T$RcsA
zoltH0`vN&ut_A|KsG1!si*{nmQ56kTa;*HMy@C2@)Nrg6fiOE(PTT3U0g<(ec2+lV
zB209v-eeS63ANs2WS0h@q25hKkJu?0<0d0cU=B}>MWnw7LmU2z>y9)GhCb{tzELbF
z!jb2?p0f7ezz4qyg|fnFR(T(^H&D)#qJa`d!#4(%cfI=PP1UJ{fUBqjOltAdxz@9@
z0(}zt0;$E17mzor#s6R@wj6oUKoOGCNRF@Bo6xwvA|ACOIqHD%zwDIO1j8Clk+r1T
zc4rxO%`9VWyW*}zo{Owo=`XSOpeA%B`xe*O8>r7kHOy;~hs@^nMmwEWAksJv%QpS(
z<2R7AH|0@xcC}i=e&1&$)M~#+(ooNS_w1C6VZS+nIXpEUwA$|%=$6%s)?ON{^dnHH
zs+E4y-at8Piv~)pG`=xd>9yXn`k`FaYu2Z!t*@p$pDw^^Ho>2?6I%|eXrO3<%Whfy
z6MG99-&VB1b#7TLLSa^(U$qlzgCZx3<+{zzj5T!I|FIHk)omkbsHfX@?8!<|metu9
zx{VW<!&BptqHY_V7sIYoj~Dws`Xtb~lnuMq_S{PtyJQ3YI&0^vOtse*UiahBzRlq+
zppwyVWeB9$v9AFtFXY~s@al=ZF);|V8}fDGBZ2`bewbe0hB|l;xt-IGX7SH{(C1rR
zr|X?3hb?SJsqLp4CDfdly#dE{j-9GJyc>7hNx4!9=#!#HU~<#DNbh-*58HNdI4puo
zVBL1x@h(6hGoDPwy}cvi3nlb@vcA`AyG_Uz#4`jsUQtT!&rDv0{tHocI!p~dOlRs2
z6Z;t~!EYo@5&8dcBk2QmD3$whT`Y7!iVMj5y4*;5Ea$Yg+)KLTAusT4T?cM<OE)aC
zx04ne*VP=_No7#<Tf**yQpKA}AA?lj?XsIn@l|HJms9bzZYq6GuClDv(-l8%^og5F
zpCaPSS@p?Jt(!{U2Nj#Kq3atJFoo+I3%D4rZ!F1oP2r}}QdUs{n^Y_SsyE+SYNkqd
zQu%FvBhbZx5Vw}TowC|*ExiYIpEKVXwBw)$=algpzX(oj9wtQxw=Zil0jJMGGD+MT
z!B-t)y4!Rabf(abc-EPF^0G2B()als(5kbonSIP0Ag?$5BK5meI`Ea=Onw_CD;=|0
zSg2!AZ9Z8IJndF~H`j!@Cz{NBi%2$S)n$f#6f#%6^7JnuuNg6t83k8CW(sH-WTqtF
zO~hAYv5$f?SwkftTY0KR%hnf0j6zM>x<O7U(i?$g3S5PbUjawq5;8@2sY^8Hv*M%f
z1eS3yqMlqF%(Z*7+->G3GfPMzx*F;-m>7IjU5G~B5qxv5Iy2Rpz}!USnX`^9Fvp-`
zGdd(N3Yvnz6p%3pOi4a<eYA}=QqicC9fTm?(r6)YMj%@d0&A7>9^r>8h?a<1!iiu$
zG$=pS5cde5rL5}~NA~twoG9)Qei#dln73-H5N+`dCsVSEZSfn1?TI>+(7fRB3d1G<
zMv7|zY#(6}6ed>~wSvOridX?y3<~4s&T>@hqre0_B<y3*F&+{|PcKYJ*m0@D>&1=h
zC#7DE%D(cwuu|9ilc(aL3*zS=1`heomYfo{Ttc`<MTM!la_6Ng8kjFy+0q_~^?6k`
zdFO@;9#^>JqPNRE<go5qbaJ-$>#BRTPfmS1SG1Z{v)mI=*Nu*}XLl#eZuCu;Wce;f
zY`O1PG>}`0;?X?(3TzI^S$hkbi&QuA7C7p-(Th-+-RLj36KaFPtWl-g7mqNdBE$Y1
zc?6j=Ey?~E($?RRSyUFNa^Sw+4K23h_WO52kV^fleuaZfvH~ziC4g5x$aEJl2DeBj
z@ri<z>B(x5(vdA$`-`*1zRM@x{?Fx@foNmjgAev36SO=pyFDFWbGqK5=%S}QUH;CZ
z6`%KSPNwnP&0(}&P`wEC=85Dk7`pzoAT9^b&}r`(f6m`3$UOvZ$SpP(eli(_1Nc1D
z&_9IiwmF$?4*GrgT2w=%pGtPh6#PKc@KiDd{%>^OM#E%pD{KzppdBqN_rq@Nbz8$^
z@^8ECffo(c2jzC3N~YEMaVS3x{eTaJxt$*T*uk4=K;38I=ZyF{=(pk5t~hMM^<vGl
z_!gR*0J{3C!{n0XFpS}AVV?H#<mO~o<Tc~&pwqap9QHdyNSTFb>7dtukFj^4XarTx
z@f5G^QAz{7%nceiAQ@T|1=?-|-fBqL2`=fdA2-_GIj=oDxh0wL-M0EUk?aL$HeeOI
z@gS0!CX$Jkw=`IR;<M-7KCU()2YipF11ZySA3WUHso`VEEccSiOX}cah(Wx3_{PIg
zurf@p$i8fN{eIYQ_-?n=_WFP`k_t*Z*&Pnz-XLzIwM<Yg!{k8jO|A;|C~#vk%j+$c
zz9Rb~S2)>&eTV=kUwG|@$*#8BT^YD59w6TGhRGJMJ4`O^d(E)lYP7r_@CP&#5U`WY
zu)7T11Vn;XqX!pa1Q#FxKbdt0ao9+ck}Ux+)vnf{(`zWk17IluJY!zJ>$Y*Ec2f$V
z+l_Ge)1+SH4O(I2LI+uDk9VOLMqWcNNnFy58|Q*3h{HbC)o2BgyVS;x2r9Qrf$$F{
zJE1eUgW<+O*oEx7M79RH;iBQ0VX~htxCBof_!}S(j1AV-f+640ch9Szz@mFms(^Fw
zNF+!>Cy0l4ZTjl}oJeMSUatYLcp#0iB?8Ut#1y(p4#gvJ{5bAKi${)}KYxCqw+dgT
z?=FP>l_M?h+!4qb9T_J3umq6;B^t5Uf$fzT24)J<4_|Zi)qw15f4P}!22;{zu8_^d
z@SXT*A@Jg5YQ~Q{ZD?XTc9%ekTCqPoIh7m$p6tMF+d@1Q`HiRtTtB>+?1@&pv3sH6
z2P=LX{>KYY+F=*ieP`5hLC_u;fLuoa)TQ*B|7^6wrYoR5(DYppAsBcrZ!nYuA(TEl
z=s^>+pp@buhQZ@{;39BO*u?YssbaVURYf#d%I4eSb(Xvq$m%Mz<$G{D%f)106Lu!f
zHoT4-v>R@#)%Qp<JeF+ry61*4F-WGkiU64e_6oYK02n@Q@atWO8TLX$z%DUpN<2O3
zEl0zLK#65iyKV=14ard3vidQJV$q`X?U=})nTuBBKKK(Q)0j-oV<=27PDTF99~#cn
zd$1=r`_sv!xNAnK<O%SY;>izXns280jK11WCW5FF0>`4?;SZrLn20>OLDmoO^$VPL
zK=0s!PMAQS@t4^TwgDzvCg4vO|HSy`OZex@_~-Z}{J9<fJdJ;z!9Vz^Px>}0!>=#U
z2P+s}@y+l;a=MC@;dQNaYYSbfMrYUQU_G7lWOx>ocC~5mpQeR0bsQwSbP1s0+tm!f
zM&S6vkn$8%bTS|36Fr6J162YN(^(4JN~kF7Ww}I^dpc9&v}~0MU6QFEY*s%;Be^eM
zmw2-&nE^H23<s!Whslm+*lq)7Lm$8tZ$BZ@p8&plWOxrKlAhZK#R_a3fd$|VDs7xe
g-l397W_ASKW_!>AB^a)t?wo0%!4SHYkMP3(143ZorvLx|

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.data_readers.parquet_data.doctree b/docs/0.10.5/doctrees/dataprofiler.data_readers.parquet_data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..57c4c9e3d11717cce50c3e20d024d31c783dc64e
GIT binary patch
literal 52314
zcmdU236LCDdDgYN+CwYJvSnZ;yKR^7$n0SZ=2$G@Lou-xWFgxDW8`t~Oz(ELX1d4I
zJ(AX-U?7gI(1b%n85hQhaixeM;4-9uaKxsPI8`BF!sS4P6i(SV<_txVkZ?Hv|E_+o
zk2l@3TC#GLS2Nx3_}};b<Gug=@1NTS-h0hIts?(L8-teZct@wrdfoHuR?v;s*Zo?j
zX?bDyM0e*~y2rYeXt-@23H(mGW_6=gP@-l#je6Vix(B<_I2I3`Mlj9l4+T~&bbL=#
zw+HM&d+1=dVh=|Hp%XSN=~Xng-)!H~u|i{y8Jb-z2gTN1XC1}<6K`+t5_+J)Ezw}h
z1Pa2gy*V1L3X<)$(IBIAU$m~_cvg2`XU>d9%rI;_bDa=Ih$C9-)B~h`sMaup03O2U
z0ncpGPwVTQR{UkotQ~4w^H`=64Ta_czUtZ=?FoC#-e#}0w@0s?xjwMk!OW{)`}&Js
z{-T*y+joPRIt&Ot%{vXNJp&X5Gn6vr#Wa?xwk@*`^`~J>h(#42PPYRX-C29rbmr_;
z(SYOCt)mif6jS?b7>#`nfOa1IzXSe1AO7EoBLi^S4jE4+TGuk2b~l=C`t?r3dW9jA
zmQO)9nxYk^3YNDA_k~@vW52+jlE8UKPjKcfGwigj>Rj9OYPNz8`NHv;QSfOk&LXNX
zN^imN=Zg*sAYBcR4oAb#nz_(6TebviG<AjVg{I>L24M{&^o_tgY#F9kHyXZKHy911
zyJ^a>Tg%pp8TkqT>N3hj`|PujS97NnaeXB)+X}>!&o<yXO?3tr`rOf|3_2LVB!Xgy
zcI~Gkum>c-sL&~Jyn=JPvm0Ghj8&(lZn~LlOJ@TlZyjjGn#3VonXLlV2XCr@0}27z
zS1J>|M{2*~c&$!YMLke$nV~&vT+>1YX*O;I<~?ZaGWPkNHA%)Oy}RCnGB>t>@62Gj
z=C`fs`8Ft?X+-8q{4{A`^|-!IS`DNo_BgeWzu!q%wE_d$NXRxl&kxOnqK*bB;+(Dd
z*O*@iVX7O&_%#|n+HA}QEfdYg`c~Tl6?xd|A{)EV$~@DZcdsb*pfUyuBp^0M5d#y6
znxC6RdmuW$Ah&Tm3zt^`e{(+Im1q<ga0<{Rv_%_`R5FR=yCvHM`&Rpni2kt{efv#B
z>A)C=$rzIZ9F_Q(4?=mS68df(q3e-QO67X&ET6!4W)XNAA+QBHyJ>}1yWxO&l&0eL
z6(MCp$f#}*)XJ3ZC`74fiOeW!nQC%!HYOV46O?+cPSS(<lN7D?x~9xB$Sxm+*?54+
z!RcfQkd#)(tA(AE`dB^7X@E~^uaD?@ZKZqt8`kUAXtj}O>H)ba`(xbTL>m;nDgYd7
zSzaB?OZ6zM;-raSE2yo}dR{Nl&$r}$^6fG#kFEK---Ja&H(JwLgtZqu2p3zR_6CS3
zc1e-YY%f?Ls6x>lEI}4$=@P3OJ-?VPK~=gqOPk$?)AKk0^);BDhXoF+Zxpj|V`4}@
z(G2N}shP()z^4C&H!UDr3#KR0^shBd%L`KpE&J&hD*G7)B+`M5kNu+p1BbOQZXkeX
z4yx3-n^vz{r6DkP?3TKK`AiBUE*)8XN`z*!5E{Q_waw6POFS5@-X%!hl_2>7Ey>Yp
zKP5D71*=eL&7o&F8gx9eFOqcUI$VHoI_MWgc->d(NdXl#Z+04C^|0CKSSnf3mY~yW
z`R%Y8G|hH+OUK7O*m2-ocbA|xfwIId+-7|UhIK#S`4^lOqunSk(qgCNdWj6TB599x
z*q#7^d{IHTK?{PN$r|qUP)QZeTovgq=sU>dQQkp%y2%@v<)yK{kgK2@i=xKhN^62x
zo2h6W(+@_PVp)G`G(y}_PqpAKrclpSiSE1fgl418I!MDYKmbih^1b>l%45NLIk`YQ
zq^GhZ5EGi6O9GyU^&OXoN85KFpskrSxMIMMDx-f@Pkl+)(uURjuD*lv@D#JH8A6nA
zUVo;iQ44~!aLMmr^_uebn~fl0T(o*RM~!yo+?_B&VS6-I`?*>|-HV}_<QjsR?H;Ne
zXxJ^&(9>wYKu^ilNlJQJYDQoJPl^BXjrCc+);W<f#zU+;7d!D?mAyUMA?BFmOQBLx
zlYBtmK{j8r4l;NN-{hF&abc2)*QT_+wG&Mj+pnA?ds|OIns0C4s3$ZVQr1D*-mXKm
z5*qoqz6Xh63oboqC%p|v8iss@c8{J&9SjKp%vNZ6CM==Q{z^-zR-yHzp`1c{R8L7C
z3XKw&z*FLnghK0G@IKh4Fvliytx0tbns`bBhfm-^=|&^y4)f<+I4$ccZn|i&tV_Ut
z#vY8;&vzOP;v%w7pkJVFZ$}dLt_G4!R61lgN?n;XIOC8{__(*eVqYq3+#Q#ja4<G&
zP+!CB&H3&L@C9_h8`QSy)uwY4j!vep1%ISjzt*;_a1ZRNUX4$0o-EMR9P~*~zp!_#
zdo$C7TcaUHP%Q27BYVRAX@WaquSIm#NgD&TN5j!j!vP<p*^svK?yryl>VCL%sbIxp
z1eeQ%yK1d!H&o>g=X=DpMV(LJ9-5-=A%&}O!~GkiaKimx_(ylp6b%xGR;`3jN^<JB
zqd;uz*AXtTQE1dU+G;p8C+r?41&)|)4?ap>F!%dFo8;)RPbglYrQ=FHX4|6`ed>TR
zOZXW?c59?;ImkCXw_n_w+w;WCeHP&78o=F&Tt^vtGM}N-Z6%oZ1$yRnN048L-?TUD
zo)2XUv95b2wkosb#rPoYnayQOcRN%d{OFzqpX?Lv+1NrkBpAE7=U@v&7qfYl%tGSi
z9;?7HuUzHFD7RFD$NKrjRLKTh$(A~=?ys^~e7o1+cqZIe<3A(>qUhoE%9p!LuwQYN
z=Y)>gaBj6opb7(f-fxqj0E|FD2??w)z)%Eq{u}!*JMfz8f9E<8Be0}4V(4$8(7&N9
z^zMyV<E*`FVcs&w_@`Hxo-t<`LCdN+^Nv+F<`yB^A;6<~1J2-^R?}}Ul5rX^?!%60
zm<FC|L!r=~9-$kUzyL2d22fxv2%cal7)^80FdKod_Rt}Xv(27ShqXM$SD4M|k^Me&
zJO_=lW@m-p^xl<CXRQ6Al};&eg4-_}4XA819Bp7rqUv13uN{&WM$x<Z{O%$%Tp2Oo
zKNOcL$WPM@cM*A+#c+m6qh|X~4cDFLVhIxRaPFjWZrg$oh<bn@-N5(GC2a&&16I$l
z?5z2XPSXo`LwGh^f!21CQZ@;$;_pmvafHS~fN5QUlnFs63%@tQ^yusz+n~6MIE~x6
zh!3lC6WfftCDdn)4g_Qv97BW71q%8R+o{<oyKM_r^)&cqqz1~t_Zo{Rzo6k_C4ssw
z7~#$EshBm`oIrWh1pK`*-}akEXj=yCKb*G3)h2iJtY8Yo%(!nyv?tu-{mKr64$3Nc
zI2r+U+o)F)F%9&zm4r=__mWJ-uUOS&Y`_QvZqPu9fI}-k5@R7;c7K_HxcAY~-;4jy
zEhf6t#31JU`eKSwcs)7?`%{Q*%pK$~zNx~#s+q1Hv+(Xj(1Sq)-I$spRtUKknTwbu
z%6S;H2eu3>mN@0aD5!C+u0T)t-h$L+l!~8Vi{R9A6~#vjqZr|$lSxpmduM8;iF>ub
zqbNTD|Il54QHd=JnKgVRFTUapFXavx<R(5ytJ$*6zzO7Gl4AfiH1b&;&c7v^SNEKW
zAQAUpDY@Sw<mMNZSLAffpRxWXp%ZF6fcsr&*!?>E$wUi-AY1{}>Ycri+8PZQ|9;zv
z<WWuv(XG)AT-)^KDgj;53XEQP{(5Z*Cfv{WKo|Muvrq;a|1>G;eh&WO`#HuHu_zrt
zYhYBGaB}aoV5LPg`A!ri@<I_G$77O3Tnk_&f)LCqS^}^OL?nsKQD=?&_foeIKndM&
zB}BgnxCkSkxlU!|eD=xb04^_EpsgHv!B;ZgNqKR<BU3%D!oulKK2}FEndl;aBsf(}
zW_A*i^NY$d<Nge2B<dsKO39L$X=pefF(NYpu9VEA(8`gSjB+pUpM3<J(GnT~_D@pP
zTedd!n1zzEbunM_R&Y~8go-~=_eW^02wrps!QE0(#YY@{F;y+T3#^C`)eEy;K1*;R
zx|v{suBVjI!B@qFXdMooiw^ywQoWdHE?){HfjLab%P-ouz`PL}&PRs`jDRL3Fezkm
z1SX^0c|}-502dW14nmOZskaau?15}b2((SQp9EzEbbJE-(QRU|)rV+NTvT@E^sU}Q
zi{4F&x*vdlR0~&eKPWwmh7OQjj93PX?*dRFKM$AUM79S0999x*VE5xvzbR|0JFkz}
z%L(@@Wyk<O;e`980&~XDMRH4_tDlIwV7Nd4cP81}*`0~Lu7KD#M!$=Cu!?%nsNhF_
zc`E;gk{qpXh$~)j4djyY^=U6u3(NPI(&M{1!Ed(3A4F%swhM1??E&)T22ris?-Ip^
z#Ynkwl%A-3IXIvyTvhE=?0f7FDCa!<$P!}c-8G_abpMLIWg){v?pquZFo_*X1#Qu6
za=Ctn7#?H1ba+6<zGi!(mI|o6uaWJDCQyR(p+Cd|4M(g8Qmhj|K6!9IMw&eLbR;=}
z&G7l)C`DE~pR>>y+$4%0s$BGv!h`NbLaY+pUxPZKN80X_a6;ie1%DJ?bf1AIg#+8+
z6#Inx1FVrFMTjDtYM&~+OiuBhW%?WfE`9_<<E+iBL*DI8w1_{1;=l&H0r2h#Hi+kd
z1{9FPvtgnClHmmGZi0IQFhMi~AqPasxv$5s<R*^veaQ3aO;e1}wyR{R$5i}M)%#v@
z1J3elKHkRYOT~jlz}532X!uL}(C`WY>a{;f%SRttxw<kj0-_T%=IFVyIZD(eCMnjn
z!yH=?>MA`^mC4b*lu0ORooWEbc6&n_L$FMVrz%)?h+$_Pk?QSt44L~!*i6C%C@adr
zS?b?Zdw;LCciGs<dOxe*Sm(GNG`cK$U&F3k_n$(tN%a3MYyz_N|E1g>L@&7(QXn9A
z!MO-ikl=7bkF^0uq&3Tc+qy;_E<WOU7oOD^=Ha$4&X)VFF1W>g2nn5VA1ur;I3pOR
z(83xtwBawsVDlGMl4;}EKqG>^V>Xja8(bcydSA6{?oH62`zZdY;-7!OKR1g{CVa}U
zVvJzC+1u|%WgkDy;-_6pHD*`zVa$>=<lD0kuUvbU9z-vbwoNu^>FWJkwI_gGWY1PU
z3(KnVJEB%}>cJcvwoRExf^AE`5GsSXP5x7izr1;iv2%Zd%_Pj*@bAHSAW4zHcQ~W7
zM*K{r<2PD5@(f)T1+fNlABRSl#n9=QnA^Hji=l|Q`!<_~UgqvO)F~H-1+ZuVVbJmm
zh<SIPH%Ls@bMT)sL1^x`2)7Y}&tR2%`6t<KjE@gYmSEYKVTzip8R(RntPAlIF<InO
zp2?yFFU4f-b%JUfr@d5r)z9WjAt2vat>6V-Vg$V`m9m;m)a~C)U0s;lWixf9sI`(e
zUkQ*1z_E?mka!Ik;^s?zDzpQ!PB(~Qm$yzaWbW&*nS^y(H|P5eZkS;6MZT)NFKBzu
zvq@R~#wy0W6dGL?o1|e^ZjeqP*(A#S3N`_~tkH#gFr!Qpvc*BvS`#8ZoH+*~XBLek
z4g`N(E3UWfXW86@l`3CRaESXhByPfeOJOGA8?MW-2HkM|ff!)^YE{~BaXi3!36_po
ztElyQA9PBs*WLJuSTFJ^&w5dUmtwtO)mMc;(VAV^*_Y{}K`W3q$oA{tJA6eS+bvE(
zuH|B95E^fsCvRPNdllkRqItn+G6pcylSb9?r-AXnQF_%i^xNf&kT~P2YYt8t?6g?Q
zeSw!CMWQcbYB$wJ7%)(=V;A2Tfq|kRynO0I!Jb5Yew?uvKiSJ?GTGLAOw@`#xN>)%
z9Dhi$h@2Ulnf37-YGL9BDmq^f<1BAnVvO8Juo*(b2Zc9i|H)<wVyG%o_LK|D_P|<*
zvn>sa7Pu9Zo~TGYu0<;6n)cVA5=@Mg9YEXwNG6wZpVD`beVLYZka0~L-^e=(DRat>
zLNdz0N}oq&rU&_DqPu)CD|jNAksc&{u@21%hE4u=3g`U0+v7tjFbPVtab_K)!N@qA
z-KOtAx|&-MiV}yjDIoCT9Sgcr?%)yKIHRYuBot$^zE4E2?$Y;E9uu{*Vkg(-z}c@S
zxg<EF2o5uU32biCcT^r5rLR7rf#hS1ZBl8-Zqd`L14dn_X_aQ8sDuKy(~wTfeT)iz
zoKb6;l61UNKj!T81#gE+MYaD2^c`e_$~wr<{`e+G`!6*~$0rg^C-kQ@Q3cgoc2cZ-
zW&dCb)_i6EsGittSXl>YWuKL(<Lmk!%EOUP)KLbCe6f96PpA%xge+>gJ%<@#`&u;n
z(6d@XwaGg40s%CXOV+V@y(&d2tGj(9>!1WC@RWEYt=oE+g?t@u=31O5{iRpnlzTIh
z=O=^BGyFgoX`zt)Kn10qQc%n~O+)88=QcylokSwD!H8jW9{`)NEZ(Qnv-ZX$S2RX^
zof`W{;&b{4Tg+$roaFo}mtSWEA-Sx!;2gF*diW1#{x#dG9WoraM9%NA!OblLGHW_@
zgMq~EY6>^h$!JRK*xVZ^C%m>W*D}Y{sWeO1vBAMCy)PBCUFjWEF5jhOYd!gq0F!JL
z8fB2=*DD>Yw4Hee_JRm!M3=jt%Aj3)<?AA`Y1iDF1SW(_zSdC_J)(8GmsRhiNIQKt
zdg+Ne_&W*@UcPzp8mPt6ZlM2?U50!cJcUJJ*1Z&br7YSKs#(3<MRtXZ@{C>RJ&DFt
z+a)V(B#vF<x|<M}UsTrZrLI2S3k~OEL-z0jnAEM56fQZpQZmY&ox1v%U<@(QQO}}a
zS&}`(Rs|i;2~f$+hTD1|ir};Bj>kw*{dLFZ^IJCYm8=#Gp@xg@c$bl;D9qw_ap#Kh
zjQB1fAcFo4ph9NCd}hd>PtNQAOh%N+>-b9UMt_m9=N+u?Cz{KrTH^Mn33>TNWo~yL
zg2F{FE&dS7=A%QnT|krK_7pNX+@4YH^h{n5^BZNq2fj|W)tj%s+ylE5Uu&D>x2$e0
z&?>tJgtkR@4FL&Yx2)z#(cT78+^XUd!f#y(1c`)PIIOa6J_8{Q?3UFOR_b92rNnjH
zoq#T;Ow1)iep?Ey9%cZ5AWH6<=}}6M9rY*(9B^5gK@rWi8*1nl<v4gYS2*~SJXfPE
z_=etfqK6#HGckBFXVo&p<8$@~tW<o?O7E${!bJ6}i6Tl<4_(wE)1zf$GULtO<@k&v
zbfsoouO8SfJ-*`QXL<TcEZm82X2eXwQJGq?LY4a<Jypz#&wU6q2t6+T5DbhS7n4sp
z$HnX%wcps>%kgZtuR~%UWDEzyFYV)i7^~zS4oCN{+>=mBI5~mT9A0l?d(S=mW+PoE
zNyp35eG$GX;E*P7?tK9`L0-Y+%MW+z;ElM?i(01$objP@&m0(E5o0TVm>lEcK8DTU
zRK`;3ehQu~i_a#_5@5IRh8`n>_(ML!2A1g$k*xL@GfK#f!m*(~6lTf&0X90}KEvAP
zIxU}#kTATg@Yh&_#?E|C5T>oh@8R)rh|wt^7mb}+HNutQYWzfEXUL}<WylD|2!(zX
z;#G(!%e1ysy-0p@1%w*cQ|)5cvS}%rTr6Kb{`tyQj|@H*E27boXC}3zsF{exDWNPU
zfK$pV%QHo-=#&CC)|sOc<MLIz@=WLhvP``|47j`ojlptvVl%`T#(`5AKP(0t^Nmsf
z7Q}2Ne{t$%T6$!Ehiv1rD3NseW@vO-ba^i0GL?SnFcGmjr!(+-S)DDC)k%8QGv5iG
zbFafLCfoysr<vQJEm(uvplbw~g=`QX71$ubrZICAwLuPaN*ClVej+xAe9E&yl;EY<
zpx3|;-&N-@fU~+_dGuG%`V8e1L7Z2jdMIg&GRVlcN&o-R&gs<J)0rdawRR6=tCZ0~
zg-%TX*^Or*nH#37+HJgwPgIfL2*Ybx5SdDU$QJ+7vvfJ<$(D?cxmwSBCq#{?_djH!
zlD*c`-=n@w)Lj9$A4*MX91^-QF-H`-ICv-Xz5M%jBXI*9cKMNt_WK25S;jOc_~<UE
zR5WJi0euJA5f!Y1j4%m&Bd?L9h|RUY&~(6wBOx&1<efV5hZ8O3D`wfTq)QKj{TDl{
z|11G8(PMVR2!%pb{#k1Z4D>pY)oe!K1O`LIqT;>>kwDerPJs(Y#3sM;<S2&pWDJXj
z6G49eak8gG>Z#boJV_9gW0CX2rhciXHk-3q2We0;1BQo3Rc=pkj5M_cd9+l(a2YVR
z=_xG<hW2;;R589l-*I_}w0-x<McM%4UHTD}gl-*L=!9JD)%Q>yBic!yU}&OdZ_*R0
zg(AK`phdf}gf7xjOEa^m9C@q0hXQCvYaw@&`diYpqdpPW0`ez%a<!Nj1LPik4+Q{m
zk3$ng#qr<PUJ@P}4t!8gs}7BxHkyatWtrZ%vU@Aom1WubpWS13z@zZkf`II=k1-?H
zYkz(Et01inS$G;^<0rhk*)N6ExL-lgC)_XVv6uLS@37y5)X^RG7g^<Ar>*S3i;oL-
z*kbt;&w;eV)*N^}1zpnp_4n`-*<X`SdHZWh?o#&GS2*6h-<NY&B#rCy)C)V#-9odY
zJdM9pIYOXq5l3n41zabd!g`&45gbA`hR<r*L%%WnrKr1-Pn0MEy?v6|Su)4R)Wu>l
zS_oi`ZxN`_ZcS8O@;Wo_sF=w@+SMIp{<?dop4e;^%{oXMtc<9@m+Cu^^iaW7cZs`c
zX&~}1D_pIoQwM~q>azBecn%v&jk^K+N^qu<mTm}=l9J!uP&w-+J&h8UvU5DE<CtXk
zzd)Lo#X_dF6!(g+;A4HJHHf+X1=Dlc=DI)@Qr-aAMKR?u@{(Q5%R)+XwY>$VotnnC
z;wNGn$)_CC$P7roN1uBdmbU;I9Qw&7%|jQ!E|Q-jDCudYJuksBo+hu#cx(M1BEG*b
zfxAo8ivDcnp3ri1h#rbp4ukwTjd0^%RYmk+F~TfIr+)PiqvJk+%_Q_-?0AGIRN_}p
z?7u&)?K@BVX7w72qWd0bbXk;O7DIA1cq%XlQG{Ivd8Q(iZ|A&_$4J5@9Lh)JcOBV}
zb-?dDvR_GqSX24~Q({-sM@_+!?$?pN3HPgoIfHF^P6_cOGw@hE1L>PLCoRtS=`sNF
znAIn-(sm}xIah9^h@~?!`GTLV<h&JA9pw~&+5bfu;z@Mr&!I-I9WIL}#zD&AVQ9N$
zRRavgW51s$&?<{A<+I99=VFDF)jr#7b72&i!xmVrSmD15tjYg+?gqZ5I1fLOH3j*!
zOlyj^g#y3S)9ZfL6tw3htSOGkYYH}w#Lwv^Vp`bheUkh{k@W5|Z;|I4DwL0iYymJT
zR6Y@gpBYCexy10VLPW^+{t}o}`D9PsgX#_R%S7FktRFcFWcd&u_`*-<wmM-|T-cM)
z$7rLIFf#;rIVsSNLS3?IaVDVD?;^7B-_&z;X0H{qleP59Ib*&CDybfU{H#ExzJu(I
zFzX=Wj2Yj^oG6_!X9S2<O88lhBwAK^T-MG7Jqu<1EI|s@d_T({>xs=qm32_a&+<Nf
z2a<1~AQ~n7ENLL}{VX5R)2RbOwQ_n^&*4N^!4^#l@wZw+wMilL(f~A+OA7G~Jtci4
zg`fl`@RV4DyN@sqVlVU#x+9L6c^-z4NqSYXYAGexGlKue+Og%#@%Jf7@gXIoHe=c|
zmE`PK`VO-BjdhU0MEItsIzvPl6lvLwwT!CRPa9WT{;jLCaUei768Y+Eho0DMR9OdU
zNY(;iiCzAS^c_gNT2!539|isADIoII*_C=abwDJ<FFRsM&xs|}*-ctPwd$-V4dv8X
zOHWB3>WmVYz*AxotvXw#{9VVjqs&okw?idW1oIW!UHT5PIgfRaq1f<Ej$&JC{;rQE
zn*Ob8wg*zM=4-Y`^u%Vv$~s7EwygYJU)J{^@ohoXRwjQ}8j5_~_Jp2L9TW*!%+_ss
zW-OuG{zprwR=4$}p`30T-Ka{D%If{(@1g`I@RWEYt=oE+#gNr_m+xMUYZ}}~t0Ak>
ziDU+2XB<ynpdEaX4cXE{lb#R#>->2PDjqqMg+Pp*`yxPP`Huvc8-pDQu&E#}-;3Ew
z6Q(8o8;G*gedht<5F(kcaA|JPyxk-VyJ>jV5#ojd=euyWm#87usP2B8-3fPJ;YmIP
zob1AhL=fN0h6Wb+QW3a);5r*lE8y}?U<HQRXh4Q1hzZ4?VnnQGcy=7qt3y7VR>Q18
zF((`$=wmK2;v7=SifLGmrsMgl()l`AcD~#<V2!i(uEo8dK;*ZO@avW`l=9OD4=Ziw
zas%RjQWAdcPPp_mX}{(y<OO<~g~?K4pRJnwE9KTJ=I)CMgCeKgxC&~e6M@|cPl30y
z5`p0>W%ZZP_@xqo-Ir)gHG;Aoz+)4Z2<%=$Tz*k`EmSHI*!|FOJ~kvZk^m-^8YzWK
zPHLo#aywFqz%p4y2y9fa0*Ga@x7ccBoEwp&uG@Q{ixa_;g1wa#)h7izK<rGV*=dAM
z3z7t3PMiSlzfBQE2YK)$nShHtKCw;IEID2flDuK_hUqcwh~9eYFHvQtr}yaFK&#BQ
z`RtR=0X%isH_5m&r2}8d-6WmVs&tI2uyD^*^0AnBa$xh5L>KuZk!0qFgyj69vdp-j
zgu+GBiTxDH<|9UAM!=PlnG{+%GLun`obUC=J_1e}c+_7bAX`bQddt?=ddxye*}9l7
zDdL2C{0aVwGaPWCa50%8awsxVRaEg2`SzHp5#I$?g!Rtfq;hvYKjpIo7ozi^tsE1B
zuZjy%&-{CrB$~^oS`wI-6Y}zl_AM~Gq2YXVh`<PFQUa4gCP!d0%AHq)HN<pBg^Gg^
zBzx*D1V#^JQ$nC^l4s|8a{<v}5gND<Oa?+Eml`ZP-yu@;q(#lVwG=0^?0j#=N<G%C
z(k?{Wi$grWy7y+^VcJfVp@ggp-c?}Q7{EwzDS-7e%tB!J4x>~E4Br|H0Mj8b)ZA(A
zn|u<OfCklm9tK7OV92NC34pnh3u-@6weoe7SycHY!)jUIONfElBFDgp<`R)9!oKM3
z%{R4Ns*g?is;C>?w{k;k1we_|)@(;Q?8j!4sotIv<7C0yiT#-7`pJ(HRf}0W%~kyP
zz_Qr!8PcvEV&r?<S8Y}o1qouaUCgY5G$dKx_Hlg=k|$L*{u(&Sc-zxZ<a^uC(G#kJ
zB45*T?=W6KiDk!q5_trfGp^}=37##BzcW*Jz<L04-klm!Oha&)TxI%W?E<$!9%BuF
z)ylxX@NJN*flsL6+KZn^<R<x~HC*vTXSfJhwm#dW>vQ`}3Em*Ixj%!n`OyH`#b;$K
z#n+Us*9p4FrzBnWSlZZE>`S7t7R@_6g%%EaU?H~RIq@xYP5XS1p`8cG{n`<G!d}aW
zo&=xe8lC$;8VvkSy9S<yN#wrO(Ri)XZd+bhWzY9TWBf@2a`<=mMeD(9j=tWY8*Q%p
zwNB_Xg6a9T?}e6E??!{aZ#FuX^fM<L_eI0v#xB$!hM~akRhZ2dd>N(PRH5xd@O6ZJ
z?X(;4ZA0kSAlFmv5Wa=(27s<M1T363@B1MnV78=}dsjyr0;?8!oo4kY<_PS<lW_=d
zbXryTCDtZX4WP*h`owBj<Vh7>(p55jKr-~mDm2UhT-)$q4E)!AJFGUW!&alacTF^6
zn+@@GAleL`Z@?-v!%n~p4MYQVYp$~Z)yI#RZQPpT4`y3t6P^r*ZE%O<pt^TP<J6^U
zc{RTdr63fe6V6Y)Y$|Zz^EUNm)oQo>cGU)_I%G@)oRQQT<b&DhcR~#Bj9VEXt#qU9
zi8qNR+&h3LqjB19y7o5pMWS-F3C9osP&RY%ccTpr(_8463l<<=x4O|9%j-s4+E&eP
z*Q<4_1^fZsI0V?in(xiSFaZ&#UTw9ldFLps#iDVu6Z+NoQMASZrrJ>NG+R}{cmOPU
z0B$s^?U@ansg2|bpz8%V{qdt#V0G$#^=K1WYLj)e<p)+(u1UD07FG{CffM>|Y^z##
z0&}i`17TDSae=TWqcIo^9(Ta6`}!Uf-@uBI2-~20up4b9v9{pW1Lp*kfw{rf>M-S_
zZS#ou3M{%Ar3yF)Z<m1-G@Y<}^{OX+J`jz!tX36Zu|OK(`~<og!zU!?6N*P<*kRZT
zW@l!O962)GT7(~@^``yy!c5&dJOd?znQn9j)*z%njcRB$;VdSEiCGWNr*>TUVnBAh
zJzq<7gHPgaw()L4_?7Bl+OfiU(v2N98_>mYXwHEY)kC|xcYU-Sc(MtJDw%i+@~c4$
zxW0Ql+7v8$p?S1wI}3IL{s;bD*YJ_`$AYE_f_6&><T?PLwvg}iYqjCm%mzFLXt&pF
z6GR9mp2{0cC4mrXAL_KAi*Zm&p%cR7Q9W=RxW}*I9mZHOoQA3*=*+3*Hd)O%s}8cd
z2z}X>6+&xg)ZiH7P}ORhPNQnp>url@hC8FRmUp-dtA%JiRS_VQz+R45cYxu;DorCn
zDBcVm0lS2tDS;L0)_l-C21-nM>X}U#9z2HD=EWC?W1n~G<oOUjq@P_AZOKjWCy0je
zG4V7*W%6QQV4riWTOseks$60ZM}sV<#fdII!2=%`US$&o`Vz9pkzE7PfD<%*;8=80
z{3G-Q>yme@sNDsmP{lO}jB%U27S`4W?Rodt>j0TG1MtVgKOz2k9RGX=|KJavyZEE%
z<j1GTuXT}>#v~oIiwQB^Gw~1R#~|se$UR_kNts-RbMe9)IRht=0%UbaR*;=&gUs_}
z!Zy?#unIWiFp2aDsy1GZa)$hbmIDq48EMY>4IxIP=;?`vqV%xR;xO-(R60#*AFNb6
zM6-BCvMu&zRWt&Mx8`?Ht#+f)n%`&uFT)tX_zqpco}U0tyS;k=R0ph0K$QaH2B7n4
kheH1<k4MF0A|<1aS8H_Yp!WO)6zP#Vnh2&%>1<B_AGU2@C;$Ke

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.data_readers.structured_mixins.doctree b/docs/0.10.5/doctrees/dataprofiler.data_readers.structured_mixins.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..d5508a8ce46b61b48a3dda1341d9be50c0a6eb4f
GIT binary patch
literal 11992
zcmdT~TWlOx8Mb44?X_b&PE)@)DO=jA8#T633sP&+(lix?Ms-V5E+Rye*_pF@W->c7
z%q6j*jfzC2L^=<M3?P9(sNw-C1Uw)i!~^hx5Gvw@hf*OVcq&B#UU&il-+#``?9A-V
zn}XC<O1*Qg|M~vw`Op92+?Rg6H6{NOtD(;=cW+BKP1iG7n1}__GvY3DqvU3C@^i@x
zNmJAV{c7mNfx!|ng%Jj~95Y~UaxoDrG(57La4VfZA2K7dJU5@t=Xj0JUrd_3F6JUD
za#*2Dteua7*ofkQnT@BcJ<AOf8jP{C&#^rsV$hJ65=j}BzD?A89kfIVUlVmLC!WuU
zT1xY-m~||dCA)D;7mIon1y(DLa8^3ojAe#&j(Nk;!w`-5J?H9O^=rY5{oY4QH!cUP
zO=Ds)AL$+HO86?@;D`BfKEqFlPi=oRWI?$7)W<)0|3eRK`+;YN+om4r_|>)?7HosU
za9dGU>e!-DTEKJ@^S8nr6|E~#*$P4&@s4wc;ufD0bCzqey#kI3V*V~1iQftM?!v!&
z@b6yyJ4wd_LV+a@)fBV7ZUu>WpzE2j!`|O0(l>^TMBJ}tZB8<Y*LI^skNJIkvw+oC
z#$wfGI!T7s3Ut@tCAj2A2G@2!T>kzJA&o=3orc$*=!}4Q8Zg&I9ipXo0^R2YsKsMv
zJvY)JsSU{*xpYH{PowPx4ad_>+LQnaSrpRl(LQUO_lddZIb+e5lJWKb$x=OCI16yk
zC_&uicaXRb6$s+R2OzI+YaV2>0$yw>Q<T|~q30?KdMyMaU~j~^0{D-EFVfO9nu=+b
zJBf6hOvIxT$o|%#os+=|@!hwnLJT<rNf>O=EZl}s(2va8Pr)~!M++_3NmAp&7_mDD
zmZs(Uaio!*)O<bSJB_D(awWQR0g8O_lw{LR<BYq1s^Q6=aHsLOWke^XJ~ctis@zg{
zT`$rrUP#mwyEEO(K70C8gTQqUraz*-*L8M6Unifq0L_NgzrqqytIJrWle&X<CPxn|
z5D^lPf6KxEJ||91BKR53lT9jf<Hh0JXo@9B)+V5rRElLHT5?!^v!eUspXJXJYp(TJ
z!(WgV5+YNVr>!3K*dPJTjx@NlO!^l`k-k8rE4mkG`{5*iVGzkjCCTKRx-4RWV<9#u
zu<5~D)uUXEl;-9e6c@i^^y2vvk{_h}S{2&W$_g2(eeGpHe=r<SG3_RLk>SMb?*X}2
zq=h;r;UZG}*hQ?_XBnn<G8*u!yz9?L?dtdM`qOmRburzjEcHrpDgOP;qlx8`mCFG<
z>@$}F32hHCXMqE0sJAW_vU!z#UN7!5JOn^k&)TNfMI@7mL;gO3L^MSEJ}latRHQ@>
ziS(euB3QY6JH$o%J1PuJ#C;Rk1TvNTJ8JD+;?ZkB>$l+1&vG!PFXXJaP&wD%N1W@`
zKK2tMXzAZ&OXs-Fz?oE*{`ZKbi(zyDGX6#nFaBl;DY-!rB>vX}92}84U3?%o7t7Sy
zYtvIxBM2ONc2*9Pe$t0gsv?zfg#%}X^V<OPTLAMr8JMt|2&1GgP6f6n&$HB(9Y%eW
zbjscyeV&1I+V^2nSyF~7t^M%m4F&?1ZP2f{vZsiDL3d{mjHsgykTdElpZxr2!V1V2
zwR4oH(H>((&3;;fSFr`7aK06hST4n6ePS`6c4v~2f0rS;G8&@6L<jPGMKdy7I6gmm
zgTca)ZZJSNsAq_9%u;MROgdC&`Rre<tW{yy<l><=8807SmiSe+8wK@&<zxK7mtkAd
zcsUKq3Ue;%l*&Mw2Hranixf6_EgKo8q!i$Z+AX;w{wA-9g?8*XGDhJterNmy(Q$4X
zbhU`HusTyh#l!|~{>9W-b{}o>M{~=#{ur+PxR@wEw{uC+dnwh2bupjz_e?{tiEr4y
zsmMUjfr-^YOCn7%?^uWeb*B&{*ss$v%AeFy#LBYvhsr)><|9cY!wwY~z-w<RuU$eN
z9^C#tEwf?2hCie74WcH44P(-Hq2O@sKVy%c&&^|$C9KT$e8)1ZD7hgAT-5^?KMP@s
z{Y#qMi#~Wcw#gt;G06$>PP?~}uu92^TLtB*BmwDg$obg+A(lz`wqK>6O2m5tyrZ%s
z<i*FPwfw<(t+%p7E~fUvAt_rm`Xke;2h3`5ZPf9eJFB~m7Hfn)Gpx47%&o;UrWvYl
z-LXD{Omv&>3CKKzeHpz*JMg*<y^&=Wg9fE5@`T?1XYn2+>k5)%w*<)ygrvanx>&^V
z9aF2^AF~7w()F^xU{-ov>D21oZt<DyQkv%R*F~`@KL{4uu(u{Tg?&mL{UrT4Az4iE
zV19^}XYTh=iteQr%sY#QAF@uz*I+@r{nL9&@kr&;+Gs)oPBu0-8<eSPL|!A}Ov(ae
zi_*W828JXdA-wD1@j<<SASagEY7Nspw^P_s^xc0```y=GM)4yDMp2NdOvT<vuG{~F
z_DjQP|BLJZc|ZGUh4MN40lMqrP@~y%RFZ4dRaD2GgHqA~XL%$$B<uQI53R6xOnEy>
zk0yVYk7HGqFZ-p+CExBSa!pC@@S(+MTDi0VUPE4e%U3!3G8VQq{BIyybbqyTsHRVj
zLuy^jHU9MC%}QcGu24dBUEFgpsmh@{=!BHs;%?&{#)kc&G3b)qd=O)>_*psBegc28
zfGCxUo+>>nJxjA2JCWr(438r|3#BT_j*|LVZmL-_{Al3OCBh>LJ*mKmOO=#5r_{@S
zrm!vY(qpcnFB8cJ@+-q7Ak&v`$a4?W7wRf*Q`Hxn7pYz;!=i2v>!RA6GhV9Xk1AUX
zR|H~Jsxv>7Bo7~2)EWC4221l%iL?gk%#Sg4IAT&~a=7|*rVp(lIx}G0L$@wIIh^7x
zECTVbQZ-(;zBYyn6YAFc(o1%uY0|q0`KPSKX92xhl5a|NO5&wBh?_#QtUmemJT=w%
zcaD`5y}yC}qI3_Jr{N-zDbZgf76X-tx{BM3R-#!te5N|;qfGVeOnJHCR2LLx8k0ue
zaf+9fYasZb3RA<v!_konlS9*|Fn!1jQJ4Ya?mCEQ<iLpo4Tlm`cN(t*Z%D?EW<trq
zj9k(_L&CCQKXQOoPphF6RF1hi+4riUcgvx66MxDcu4!);+Qj^`43C~!ISa1+*>?`8
z)So9OlEgFyeu5_DF|hq`Vc$M)JDZ1}P%QP4Q;>cGs|%Bmfm`H;{Rzw%r46JwDY``N
zMCguY@4Ina5Rlzu6cF?l-3u}9{;+FBmb}d2UPpBoA=O=^1sf_KlHb`5HaG{(zD8JW
z*w0T0nc~+<f%0*f{EDLTGzq1WQaEK9o2K&2>3dBnJ0oi8<Bl3Kk5fxqZ{GyrDD%Rz
zW8r(=^;AvK4KR*hlD3x0nk3bwZJYeGSi|ilt=igD^-0LbrRj!Zrvg00Gg(@QM2j!t
zOf$-u^HaE~qoirL>gQEl{1nZd7Ar;^P`#IyS9cxGT2z&nSU}ZH1UH9bwza%E4cB%`
z-I<A~eN1;^R6^wsrmMT6-eE2>Xpt8r_<&zzVWf9`d@QMLaD8+y<8v|ni~|Q>%aLbj
zR24?O*lv!htdNgC+V;E%B?zco$~(_Zi)AW}bK|bIhdQBdf|eCZBlw!(b*bVm#F87T
zg*i;NXjiR>Yclu+$=ETSkQS@$io*f(y#Uu+c7-{~xkF-+>rVbTC)U`W1*}jF5r^5J
zIWcFlR@}jQE0ijuM@Fp6^e$TJQGlWbqC2@RR@AMRxrRqikw}`wQG4^jO__~7UhdRb
z5O{&cb=O3l8*nC4;fBSk7e`dr(OYFsu9Aoom7dBH_Af|MSJb-wvyYcMDwD+#IztGc
zI3RLlp~kYKyPa6?Fd%N?nez~87{zS?GrYjmOhyl`*oMmFc2O<jxosq!frw>lupw=0
z4|O|YMUNv->oti(7KCcqjJv*;3m$-#4Y<Cr0QD=h;Hqo^x^779?=|@$i%m~MK?z13
zL4fUrOe@ZmQes5f6)Uuqh^}g;73wY2$>dbdX9~ejiNiQd2o+Ed-H@7em@KW4C64Q|
z$OhLb1ck_Rfj6|836?LR*falxh^~=VL2}#<1ktg&NU}aT^~ZnAi4~vuD8OqoXrmz^
z!;7^Ki3jzh9-_gc$Pah6x36Bky5;Xj+;g|QptEhVE87?uZYSb)njuNS3=Jt5Fe;K2
zHO$|<=RNNQvMWK`sBA+my={(X+eDs+GE|F2ZMhAPx(>FeM|uldWJWwWw;)bHCc9d$
zo;mrND&@H$j)eOt?%UJ2)!`2QL4Ic)O4NwMVONKueL99-hXCp}`K>-R$1`*X%_y}z
zVQ}QY3@~2l8(1kJ#O%wlkF+$E%*s00)DGN$^mvBlwjl$VVK_>rB8*$*aYtCU#Z2hx
zKK3GqhShF2kZHQCF}&kD8p?Q4ibQ3s*ToETuTagaSWqScItlTDk+&f5k*1#YCB<vl
z2;vf<ju)a}QibaaFk+=vO7zKQtk%vyD63Bev=}~5jq11kP3W!tb^I?Bb!sL*LxW_;
zZpiOMnX2rEgE@^HT`jFK$W3xuGTeK=J}uvYirF93z=nAANv>0%QJ<xN=p9qdc#(Hv
zv0Riw3E?tcFr><oysH*6HrY7Et73~92bqJ^c3Ym43$`43tkRf|u9sG<XS>QtM@#F&
zZv+uJs@tn;r9D$(5vI`aVls4zSTZ~$TUF{DB5^itzX{&IlspS%MoAIO14Jo=6;>PO
j7O~X4ls8McU9w!miA@+HuR}_<Xp+%R?Hk1sack?peKaal

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.data_readers.text_data.doctree b/docs/0.10.5/doctrees/dataprofiler.data_readers.text_data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..82c88e83ba53302d30e3137d8cf75a6d368980dc
GIT binary patch
literal 51266
zcmdU23y>T~dDiQmdRw-zIZIyKxV*BZlb>J?%Lrs+Kp;Ct#(<()&+X3LOlx;%y)!H6
z3{LC>{76j&gBA=nxC(*`Lt=0$NkJ&gyAlEc12Hj=A_*ZOKte%5B}E9X%K!IkdS<$N
zXZB9!<SL(Ld%FAo`|JPFkH35F9C^nJzPN(^7jFzZp5Hz`?KB$gpy7u7c)StRdo8ye
z^-uJ7+||FMUyUca&ap7)b?a_FUI97kp5JVA-FE+QKi+`ZBfl9=^YUY%TaWypEsJ|2
z-l#WrxL@@q;*rRYny&IHo;c_pk1E$Xk<-UakY^31Ko<4YTl$m}sA@|*+Hrt()b}>W
z6E(@Kw>lo>JRXSGH2t>QKhT?X;z=ipy8di0g0^8>R{M<*`5vn`oiKz%cphmxE%r3t
z=yj4Gvrhd;*PX*Wy?88g=J8eE+vrVs>%6nQ)!w%F;O?74w;S$$^(}9>?1h)_?sNkZ
z?ruP9;Azfpy4~HtVYr)dmU=ObxoTb4X+Zhu2-;l3l<95=P20YIRd3c?5s&!ohI?GW
zi$Up~15NSH1-Q<K|1W_5FNFVhV6y<3u1_0Njn{M>zuS*5ZUv2A(|u7z<;y_6A78|B
z?<$hn8$A&9ot}5Gw@bm~o`IOmxlYvUy0zJ^)2@3dSm+M{%kBi0&cX~L35{#dSAw}h
zZ2=fp0*n*!1c;0?-*q~k0%d&ZzMvgBemksCS*Xkf-Ad>jMFLK{QE3KF1D}zH3if3<
z%|vwTFeMWS-Um><go)1qZ#xR9u{#mj7lV{7D?~+41G3Z1KnM*twj(W;qanZwRv>->
zYWlSx^pz^>0l!_OUw8E5odu+GTGZaxiYdb$bZiZny}BY7!dk5W+XioHp$~eG;;Q6{
zZxfYQ{dT7p)lfca9VhZ;DmQe{{5j1-AgqTgdnyNlw!4$IOL_MyKa6OGBu7BYg-WJt
z{dy$c@1U|*1%5YDuAFu|h@6a}jYk=dLQcicMEFLb_nO6oFP=EwYR-fm2hIL?r|W{D
zJL>jPCJEFs$1ULf%S79i?nb2opw=;<z_X#*7T(MoiJw<QdIW~WGN%##eKW$<cr6Ij
zE`XDA6|YAoX|K`Wu4>J_+r2j;+;=2!dvBs916nshTbFIxxR6W1ev*)8@ohF1$B{+G
z-#C&nv-VaUYo}4x(B`(>$n7>k)>ZiDpCy%%8pHHh@}u%{K_OmbO|-YrBGj_LZ_HFA
z@Xw{EyWykeZirX5`;ICOC<>1O-XEgUeL4jhS?ToJ^{AJ#1uJI+5Ac+x`WYM5PM+$g
zIMuE3%1WlH52;mo9}x~AUY|0962NsGw~b!4b{qy)N=NW<&DMBal*`chwo1qBF=4Fg
z&NYG-xb=R#s<QwiB1ni9I$*;_sG7mJ5>uS+yc>aCljLBKurR~MKK=Oo0u};|;=&B8
z^8ohE(}2=HK;L{?g0S+C?1Dp?_WaD!o-gOR9XkN4{+6g(;<XyQOs48*ELE#xMFlGF
zKN6h0AEywa1XOUmpB8913`cP^4+3*I%^lgaa>WV@gT}VI>Cwd}au^BK&<QEkn9WjS
zf{xpDqM)k?V7zjVWO+}9<%_H=$18)J#*iu&VXA82XCfZ;+jO3yc&0TtSP*=$A1Tcx
zFSfG+_G!-PHKW>5r`dDUY{gr`UZ)duqgvQ<y3uXD0Ov&af#i}slG_Z*ins`8^g(FW
zp8%eZ3Q>#)j%{dzs)}(~gX$%lNq?l9`Fd+JJ#FWco1suz{frin%-acQrBD#acPM?M
z3boSKEyBVaO2&K~ki0f0<|vKF9d>q=Zc+`PMXM7+167+W<Zv~bHFCe5Q9Z7lKpu`Y
z2w6rMAGT8{4+SH#v@ra+oyn3g<ZV3pw4FeC6pER7jVzcg{Wt79T0u~JsF}dO3{N0q
z=d1?Bpzpm|vI7{9X3*k5er08pTnVqU?u>ho0X7GCxJKn+p#PX$W%It|m03;(It|WX
z22Vx)%zk5gV4d;iyv7*MFC2&bowk+dTbpR`9p^xyqQ2u&I|031a{?M!!Z!xru|fI{
zx)e~_ZCszJy4bjRiQLA%9HeHq@di7idPq3|joU!9GH%1OQ&0r9pa)$;i41ldc^J$F
z?TvOOZ7^gMP;b!eLRi9}ov<=$HE08QC}+?fv2!wnL1PSN@Kod@W6%a?d>@RM`Dz(o
zzER2?c5n?J_9b8@-;XD8;U$<Qu!Yi3Ed|A+rKYCdkG;`&e6H7Q(sc^&1kO(z-ZrGa
ze<kqapv9rHBDP9ahox|J&qpljR=vH_!Cn1Q2R2M*Ds0X>bE|odJPR4wZUz>)76$vb
za@(~v9^<tn`k5qoQ{-!z{!FI4@s-09hCP6>rVndTPE(olk?$fgHcz#zDCb*~@DB6v
zDe})5p3`O)_F?E^2V0JSHG^Gj%^=mkI1Bq8Rx?Gu4gc6S1>#Y<#8EH0N}){i$xoo}
zWTr1yMAkx$?(t63ulrH|KAPc}({00}vM56S4htu19^Q%6Izc%A*?P&gcsZ^fqk>R5
z?9D2Qn%QZ?2Ef(~S+N>Ajp`Kn3icmUt3+uo77Ma`lPL;tkI9ugOuFr*Qf1`ehfE+V
zQ)CSPp}Uhsx0jY}CukA9>J@E2@|~uCyG!?tmEAkBWrvn2bfXYA3UTePa`3v>9hAFw
z!&i`CeI~<tYgw$x8CYWb{?*V?+SWa?&uLd?-AdST>;9bYHY&3VlO5Qq#;r)$A8Wa-
zpu0eqTq>|%dDM3*4&9xs;O^5j-+c-zu)>9Vn{)%yV*pIHoP~<h41;w2Jz8}HnfUm+
z(tzO;RL7U^rzdX=fc$LJ6_wA(b(IgC3fv~vIzBb{1=)Dsu!1#`7OaVQJ@<RH*=A5b
zqIkdfu;}kSw8yKH75EQTrv^LWEhpMTb!VmmE6h79buaMi=>5-&VAJ+Inm2S>9oQDH
zfvnYVB~uje+tDQ3uY?8QlT1abB=y8s0&F(l$;WQwa)fuAP{zqLW{L5BNI_$!(t{1q
zO6WFWa0Y70FhZ3)=J|E60*1Zo!ZtD6!k(;y8VBv>0_qxAp+ue09)*)x=w<-mUi(N0
z+OF2;G>`!5W>Nt+ZekX^ta+5ZL#{)_r^vox<r;!+RD(GYPl9o5HbCxDn~Q8;goYZ?
z_lmqHuXxey7T)BI!sLYlTs29yg-Y7tG7TYzSnFSh|FA(gt~SU<%m$5x9H;Pl?JSJo
z-N@X?32c512DYty@kETT$?Q#5s-V(4D!X=3pMjE#5{4lRAg$;z(2s(MgMX3x5g2)}
zL6{OK9<=8bl5uXElMkzN>1h=2ER14|V^ppL_5Qu&H!#?uBU17V4!dxILw=8;d^`LD
z=x&WyRjP^Yr@e-+)Ui=AyI|4*joc&}>9#ta6Z)arOu9<Sn?|40&3RX*`t(E~vzJTW
z$=E$X*)?ZX*CW^*LNi>aJDlmAJMth@O#T@DXwky$N+O|JxnmGgTjP<+zutKwv;RwL
zNFlm4z5quegQZGBSF`}<SEV*+d_F~v4L}#=rU!YT@-EFvj>11;&da4DQKg&E`c|qf
z*kkj-_fZcSQdOcaQtAV4kZBg3?|~r?BZ&4xZvei5swCApHZvx_uaJe9Bp@S<5c?tF
zqJsQ&WVz5F-z)(_U%o=yt<@KNrIN|&3wc20dP5o(!GAV6-I5<>NSGA?yNc_~4=Bs#
ztg6nC#~?E`ADJnxPG^1udCiDXosn?mbS8(EL1#4iUO2q?NI2s~RD#|$(-DJp>q`TA
zp`>nIDaNB!oPbcJ5-I9zhUpZ=i}fHZ;8fG<BX<V4sg}PbR#b_$uSrX{S)R-yA(ZI3
zP?y2!;H%<Fv<4e5REPaYbA5THIy2Xb!dybxGiM!IVXlOV&FD~tk<jE6CWnkcVKn*9
zFCrQexVTVuP=YL_!AkI)0m$Z*z*;5gpcYP%Rsq#I!m{F^a==Ozc`eKO8k&{d0{^5v
zT$TK;k`|BML}xN`7%YEFK&k#Ll#)a~20n^~<QSMV6}mZZYunC@`O7KtM`hT6MY}0-
zPk}z;=pwtN(6x8(??7|W*7Bu7ZyOIo9x9UBI~2bZ?O+Y<V5N$W;@E*9yk7>%R^+h=
zh^BsinUbt#W_i`{|9qQn&B&PNiiG$yu_~(8hIZV$U*?&RO%v8oNl6RhXRH!X_1@#X
zH?`U>ws0VNm3&f`jUQZYq0A~eG^qKAL`Tj<syJ|)$qvh(l&#_dmft1S%wL|)lq%*g
zEc?ZjhJ6zO>?8FO$gxe)M4v(IxzcCktH^Q&o6!q#jp{-vHV}l*Q_^Dd^TN#?L_AS?
z@-e8C?dg%v;~e!1@FyjF<cp9}EW#AF@lKF0VRoIuAaby$x6H+s?xy@TM;f-6{~nqn
zq?j9g(`hDjonMCR(Bq;4ShSNpo`BA_P-(dDgfwi~4OAW#Oty>wo@21dN^KZ99e>g&
zcjfn3J76cTFg(($(a{^X+KaW=FV8Ohl{DO7;c+y)0Csy%DZ8Den?4q!nD6*~%gzqw
zd8aCG@i1pe50fuT9Zh0NCj_JwX)%(Nw8gj#ghd_7n+>FDF{WjyQwQ3_4{y=}2wo@u
zA`R9{WV3Y}k#?_~Kt}drH5m)P8rD`sXN}CjVoEmL=LRcnbtO*UQ3=(=%8)8ly7Z>q
zBB{c{pArg54gJL&cfFzCD-3^pCYxcvUO3%C!tKfmZXwA{T5|>|WaJ1En<9SUzD7K8
z)BYkX!8YyZB*SK1R{W4?A5<dcGLaC)55a*sW~b9`h@1)Z$esA-Ec|m9{&}u^nt~^d
z%i#>;v9@6+3fK8z4VLYDa8jrXOZ(*}3!*LHb7o5UoD@;B!+ChwIh+jRgS^dF>1{Fv
zhj%p(fhd%BH4n&A@u>l7;%C<9p#vwANtMb^7a%??TU*}4BuJ4DVKo^Kvt~93n!?45
z&Q$2nH1&^LshfO^j&5Q>$lIXOrS~x=`4kRj`O6CRE`5&pAn$U?wRrBd1^%Q`4_dGt
z<<I)Ctp{7{KI}}rMw-DJ`6Ug~>y$4jMS?tq%uSJR6qX9%jZR<*=8c||4J_o11Rmgx
zqzosrRMZ>&7>F`&^b>rd-iSV#yb)t~G2Uoz6dZBe5W!X5QPLH`iDEBkfFruHlp_-K
z%s%Md%gzTSJP&d|Q_}s2GJxx@Yt-HQ#LkY3Ji@vq2~wD;bzL)R^Fa3T`wCe$UiQGg
zUye#wRe9KwX+=Uz79gaXBuylzVQXn8iCYI)C{QYPKv~SrFUGN#Y5dQZ80x&6>R;5|
z8+A1<UJc6}=>yM<P_ZSsbAW*&(Nx=zQ9U4uH6p(T<FfRgZF5fa=?xXIF2;L>I*w<g
zUDd5WCDW1(2f1CMad6TtWRqn-kyo;&zr1i)38ViT<cJyl>v&-s)XEe@v_-ZM3~>Up
zV)RFut<+6GYCw{i{9Eyfntb|XGWm?%#hCn;!SD`(3hQ2Jlh48@hBW+ws?qTC^>NEm
z(krBhiOQ<VbuTcf+9@JuO?S7TEtccSs+TN1t)p#YO_Qrn=|m}O)Fv+!7Bpe1aJ{@I
zOD#idEI@@@uTZ`eN0q#RX%x%_#$`eplzV0KbcWLIs1j(%Jy;FpA@K;)<$9XB)T(ke
zenYxEf1g~FF(KazZ>*%GTluiHm4<VT4?-aTRXI*8W4E)nf{;J66VRVN;{-J48u5)f
zfmP1L%gw87JP~xVW?SlWnVQUFW0NCHN5(N4#eCqWD1aG?`qOm`inJ+Ky|mCsxIuxu
zlUAz;%1Js5`|oz>^bPqwW3G_U{L)T9FEpHhMriPjL1-3x7<OVTU3I2Ul@opirAU8=
zLjIT(x_k__903N>x@bNSd$yffJ*=F7W^_r<s;14!MRp41;m99|Edz!5Q0yK%qc$iq
zx@eVlgD{pj6nnFkQR|^tyFvgD<qpNp+c_EHP%L9GgQp@RdD}KPFHWL#?w4!_BOvEw
z%0iq*ur<qacUv2;8svg{&NwLMF8%<B+s5%6C&H&py5=Xqkq!WHGN(*(JcT9-LkX7O
zTwSurCre%KAhb(>>S^Wk_zu&-ZqKdw5OdvZR^Z}T-FeF*S*7tLkD+``kv}agW_-$b
z3V{14ZxeufQ!XyAIyi1nJubsTZ`CA;A)U&6rVN1M1kDpzXd54@?*~=W1Q3$jG`w4*
z`Y)5CaLdsc2<C^gT<&oP*OeP=B%cmDR)+4p^-4;*@!u`ncs0285h#^E@A5RH!ni_r
z-UVN!hEo|6nvUO3hUMB}_|G$ynFmm~TEQdre@dA%XH{)*snadLfQrr7&;geOCKq^|
z!^IGItjTvy?sQ8=Fl0x^1G9n|$x=wHKd$7c-in!#De}|+L=k*`qUGx}tNlbvRRmHe
zQTLI!@fc1t;(--*O^;6EWnjHM(0<2wS`5wNVD3>7Xnz6JWsr7!Rb1K!2HIbfsm{!`
zBJVGv?3uHw@=it|bJ3G2dm*nG9V+h<nw-4nkTJ-+Cf`<rG$dkf$^p`yt#7b&pEm%%
zoOD~O6yfw=Eub?z;2S+mc0o0xh9aE)6HL99DxCh!&~#ON%|e7A@NoLOu+RX9sNCW5
zTt8$7J)LAAgy%frGHI~@Wy_Lux-A!U{5#6Dg~sH+y+FtFF2Xi1aTl%SqeT|i&XyZf
zX|m;X?D7|7nkTyIaV%84t4dFNzF3&4VU1ACcp6}azCgRjD!sJFKRY-d;XRJfmFjW3
zRp6&E#Bf)f!mt<Ok;q~KB6~8w{le_JW&33Wn!~nV{tut%_6vP7Y`^e5ieY2FuIajX
zqPz6Qi`;U#ywqMhqqc|*mpkQ#3uioYeqGsSf!!BzL;e!nv2WZnhbxy5L17}r&$LlE
zeZpqH?b{HWWZC$EWfzDb8lTx4d6w^SPc9rTb!mID*OI%7fDc-8>FI90SaywWcge8t
zav>B-ul1VuU0!G>pkLtR1T?Fb_(mN@DEltjOW8A1LfmJ&fq%jxb0@$JnVQWeUUe{P
zKtg68CLvU8b!~qRRr3n^tesgss+>R`63wnu$4)?594&|jr7<iJ=JoSGwDV~LBI6MC
z>*sb!gcX{ix8y!#Wz@QUK9GlU>*tTzIT>R8oH3ZeQxOq${rr5O4z?q)cQhD9aeB!`
z;{5Y6Y-+A3`oQ}m{>IuugHih&W314=;8S)2da2_CG)4{I7>wGIT(JI=O#RQgY5QRg
zTeE3<#?GuBTTUQv+H{w!uboW8y=XY{m#mvN2g^XQ-Ogx9C^S}nr=5VJ!b@-E^FWxb
z{EO{;T7gg$+Dzcp!xPAuJ-r*T>wXD0;#wKCx{-lAlyf7;?3@hYMi_$`JQW$Vx{;F<
zVsgK=l?GQ5L!qMM<A?18^rFoPXj}=tF}RY&hM4?irs_qT&9VdJ$8)fny~y9%nbpI}
z323~CCdA~Mb_$Bz7POsZLQL{dm~GpS?2Ou=$mpWpw%LWTgl$`~HZ8kp0khh+fjpG6
zZKv5e8N#+P1~YgnGLpA#gY#mDNwTy;&clHdu3}_DOyn(xns`KAWd5br#;dypCc!3`
zK^y~pDZWHjCNO^&&@T~XqC+6Tj;sY#mOjd4V`dRghUK$Ppkevz`9KyrB!4Z08qBfd
zCc6Gc@2SMKNPg!tJ<jD++U_wrMS?4zWypSs5^}kR+=Bf&MQ$$Ky|5932a1>TnjHoD
zCf*`&xyfONn+|%g8w7Xa!>#@_JjOi^w~502pOXmjZm}<n-@@&>ohEz-G_3d$J41&T
zhO#RR)w~k@lTmfjO>?Z98fCkQ)UgD+d^<tpSqODGUWQY#UDU%u+qlhIvQU>LxeGQO
z_L5saEw-+DqA)1xe$$OmDjx##R!9Ze)`h^}tJH8WGj=Hz0`q95vb6tI4Zji+@Caqj
zoK^J^r9xmn3>BNPp&<bhm|RFe4i`g6fF|Ebyx=uUEpbz(aF}=ix=O&neKe~*9A>#(
z@cMn=RTW#a_?RU?gv@-8wp*(m_(~;{9RQ`ZBYTr8SM+SMwA6I3{C_ee%q>xL=9iRZ
zb5>Pn$P<vcXc*0}Ag>uQsxuO<oX+IXGU$vZ-y-g2m2fWdg4ZlpgLUgW1A3vPZawQ4
zyiTu6OSf5`%pxI_=pv}g;9~GqaU~iUceXE6otbMzVfIq?%vpz4nCqZoGdfgZBs4jN
z$suD<7)`!HH?}6KQ7Ai%?X#2yE5U^Wkj*K9wMr3@c6R~Q;=wOC5G)w{(xq7k2Wra;
zT}9j`3x5hT8@~6Il0+Vnb~hFpFm6?5A#C2u`N&MRlRI7?EW-(nE_$Fqw{d`x<5B?I
zdzeQTi5W(z=pr#AmH=v^i=Kc^hVQ}Ai!gMDyYW4XF8TsAj71mGr;`(1bTyrj4}GE3
zrC1y;n8FbJ?x1UH>3d^jQT&c&7dnHD;|H59C(PH&wGx(p_*<j?sj!}i<up7W{vBCr
zc|(|-4Ij9{{ZrW_UDS>}7%PE;{1;Y(D~5^6lcykU>DS9LG5}r$Ph@ch=pxS3yh+;C
zGR2~<<FTwLOL9dfohbb#8D9?#oFb$6PoeKgAY*uk-ak@gC}XR6VcU`<dPyEZDcT`h
zmx5Qhz`}Zm-Zmi0tlV~dqA`^8$zbI;!$523JM{J;qWt4nC9f?~ZqU05Ybj;$I7zeJ
zd(X18dy;J$H)t_`r>D%HEH=CqysEG?t5)y|St>pi08NbHT175Jh-xZLsym&KUoYEP
z-ZUl{k(XgLv}=?5Of&(8u<Wo=iCw~g-OMQSW-CAHqME+95>6B&Jq?vEy^+>SD!0|k
zUTUbZzLcXq$ct=Iya@l;opdJJcT&j6ZAfB@1cm!m_>@bq1iKWeDcLm7X%(L$S_M8u
z%4H%AMSaTMK$Q8Ed+>?+6#8WHDU9L8_>}AD(Nniw4;uL8wV{X6<?dxo5jFdj<##P)
zhVen3CAs%9Q*e0S@;)w@Vp?YwPt{tzSC(3a_p)ZNp`a$-Wqsx~I~<ismC8>&%;U1P
z<vmP-6!|DtvlJfYQ&xUV9!AGWVpGTiQ0dZp7?Z>bAG7>bl6sj3IpTx7%o*Ivpo~?7
z6_kF)@Ky>N`3{nqBHt?9zrxeJ8%r=x^G(UBS(Oz}BU%QYM#^U*6-7PG&wwcNG(X2D
z>S^ec$<r`~7vpL6&%>8QXYmHU+PvF_ZT~3f4u2$UZ>d>~hP2u1eBie`o0)}ph#IzT
z`lax6Ek0=3ALM&Fa#o`$US%B-`nS9E^9A&}*6T&L9J;yf2kk>02)%H^>3Yz0r|0l%
z+|$U-%kXJu1rGrn-bt@`Wq(<CoB9Q%EgHgNexQ9P6^mN&$qk?*#x()^63VD78=p$u
znOyw0G1EZ|x8zKQ_I*`3f-#v?ATU>x(oml(;nF!wLk#UUC<Ln+O7yn*jM;8G0eyrc
zC!mR;#W$*GDD6%@&5;STfQcY|mu~rWnVQTtSlz+0oGGI;ik+f*2?a1iQ6Is{ph(+!
z-M9ho_B%^gttOBWgA)@yA!i~IXjIa{i7#FntB~)E30ZMwKHgsHE>S2I>li{2R3+OS
z#(bBZTfJm+0(nqIsO8N7@>V+urE3eyD5tXYV7%YXX-P1qEDk6G(c^Z)<sq`t9ul}!
zJLMg__?R|CpSQQ5By_q%RbRJLD34K@LsfZ|GKa(eo1IZB6p1&oqWz0SkjQIoX4{yK
zURG>OyQqwrFM#&qVzhIBTk+Up=hg~&F+9$-Q+W3ASZNl(E9|`5&=}~V#np>C&zlq`
zD?mV(es+JhZB8H~<k?7oZLM)V88nYR{dza5&=F@vPVVG1TK`g-KXNm|Jw;w)M_rK+
zF^gV>+_72ojl6KdJ;2pc|C4b~g1$0~w!}FQAj#&?NAQWxq3M%p4$atI%p7`;-<}If
zF4D>mQo=_|$^|<hG2=9uO%y!Kwpy~I%qpU5p2@o28kq_sbM`}u1ht@Vw#tKj{&%M=
zy9^@=Si=V|Eb2e4dqOsicR}9%Cdc;Dh(44lTHYru@&XOyJw0VK53E08XI5{7Ie|PR
znxoa9v=dP5O~GMxi3>FHK$yMJlXgCBK%`BYZo-J+H;J;4w<E2LWTqnI#>ABmY03J5
zoks;rbyq@1IANK*5h`7JADA&qVqtsv#cpvkLH+O@9ACX3HhnHgSvD3Gz_PLI;{<BO
z;h8>Q%)T5sx=HxFF?^yvk3JcE9yd`#-yGI-+w<_rw4t{p%iSEts4c?fC5H}0Rl{%e
zRRCahjmvDTRh2qhmRg2~0tG14z$7DqQIXEJ_QcP$h1o3|rdy)4j|LJ@$TU`yF>uL}
zA%utPzUI5fO50>sbyO3TBhP_Km)^SNBv9D5<#(-{=yf)LKZ|3mwQ%ZL+)MeE9UcK?
zRaAmGc`_Hy;8u=#e%-6U*;2eS&uz$g$Pgu^43gI)e^ca^!lJ+@Da%<6scSiy0H42f
zeaS-kn`LklM^Jq%w2kYm;Rvb{czT9b9K`O2;jQf9*pLA_{f;us)9C-(p~Rr6D3AWf
zMym0>=!;d8f=>LkaHBl%F;}2g9{n$RRfLHohDTRFkBk*MC^3h*YPw*R9T2rf#(ogE
zWb@)j@rjNR=+ns=BkUCi#mfy6)M@b*r8bl0edMDDqP~M_z6<*1E32T3l-)|(%y^Sr
zhLLq;CdUOYHvcRDtP)L+5$sO!30XFN*Kc>nJA(V(*^YM}myD~{-;e|6u4l6A>0gu0
zD?LsAR;FkgRaG|&P7IUzc(I)W<h|%L`9JN<>Su?XKz^FcZn%*)k*>r1ubqN2w<`!o
znQL_NP?#sm>o(i8!Lvb;wsLA0tAp!AWyq5V3JPaZl6)M}mVQK+Hx^<@x180M4lO>x
zB}Y4^^9sybMFrrHG=LYLwO$E=!93FQ@rimQ`egM;Nza;Hrspv8>%A!>43szW82IgY
zgnndGcTx^tGrsmozUWhyFK=Dmk5|2`;|VmKyU=?<^?cmG66u9BeaE{H)MdwEy0ky(
zO?j(1yE|doe3fm05|4&KuUmKf-cA&^mGOppuiJIoQH`e`h}VgfCVY^le;^)*u{U1d
z687WGjiBC({ALJoLqR)o+l_ua`dX*ibCpjLZ#)oB$jt&MKLPD<!^mlM;Ky1<rUrE%
zfuEE7XRq6YU+bfw4xwcABls4`jR0TWg?@b6To6R?DFIh`xqoH6K6L9*yVt56p9{LJ
zKBR1bV*q}q1|Mf{LD3MZoMI_%)1@gjyxONmI}TU|io8J63E{RHNLU9~(gfY8)^v}$
z&HnyX@ucT8<<F6LGhAi^SVd0M3q_`pc%<RZ_U57ZhGR~*4Ol@A_{K>KQYNA<+;D@9
z>fal0U^kA7fJFF&axa?Ob=9uWpYO+Kr(f3GZa3)GJP6i;6O4c}vRaS&@y4JRb$U@P
zsbz%L(vP=g-ejsEU696j1FJV*`t0<JOyPJFwjl(dJbr6WKVIK-+VeeU-UY-PZa-e-
zw)^pxt_zW6jatL)fP4TMp8`8t5889kOhCkM)H+>v&OZ(-GVund7X`H>DPHA+P_1wD
zTAi8{JOGv^_#kuLw$sF(+DKCX-FArGpColcx7P@2$6F{;o804_00QsSl2l6SQSGQ7
z`Vg#$b=4Yv=*%{;A)L!Gp%C8AcpWqbZ!mHq2%m%O>v^^shL?u@!~J+G4QBS+q1(kg
z&^K6H1G;=|*EuGCf{1QLtpdrx^)JwZmLK(Bx#Ii(JrZx|xSbln;(|89l}JEl9j4H*
zK~#^p;zdy>oY}qm*s){Nodx(_eS13S&hKuxM|VTcaCbjG14~d=phPWlTX4Nn1RXOD
z>ANnt<O)D`LwBy8A%iIinX?6%C<s8&eK(q;WW1==1QHXGGYeYOh`j#(@pv1^WD8DK
zarKn!*TN1+egD3AQ@GHMoZ~gmpZA*ZKgjQzX3z$4Ul+C<P_)~6pw}S)wT1p>KWojP
z?r><g)jbDP2s)nW8+0Xw5K15Eb%4YMFiMdhLFX|$a34rdP{&o)#4wzOrXuXkrt@ub
zTeEHhbaeq}d9E8lZD-VBb>T?OZ8?6k<}?~zms*B<<JE5aXdea!@i;RPppzh8e!Jm=
zz(+N9-x?K$%|HmmB?3zcqR?>X!u}m##8Rnk2)3ljP}`jR0UrRE^BXjM3=`Qic@=t*
zSHPbzp1@@Mnh0j1FAjv>xp(xd^gZ~KtG$VMlwbaKqAxyo2m?M`gp;oMYC4`#$3yXm
zAGQLJSe%#s70`m~$L?7s^9MNTjN=Yy9ZbYv0Dah-BOhA>n0yldRN<57WE%gx4gWlV
ze}0XBR={0&^jnAYbCC2tI(lm#J!wl1Clfr*Mey($4Z9~8noqarX#gGFsGz$jbWxAs
z!XF(B5*#r0;`OTB(@tAo_rWt@uR}+&6f|!lACnF>h2;YS0(#P#4VqGwXx7s+i8A*@
zs>TUHl@>ZJRX=#DZiKG!jBH)}&5C#ujBh>Yp=s^MYwJO?3GxhW00%s_kEfpiX?sim
yCNLizrwis3gf|4c&j?BzoJw9Rlc}bx_1pDkuK}hnm`95_*+4hJEh_8R>Hi1H<7`y`

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.doctree b/docs/0.10.5/doctrees/dataprofiler.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..fa9b6a9cbd14bea373f84dc0e20359be75a4936c
GIT binary patch
literal 5904
zcmcgw%Wot{8TVtJ_V~505Oy6Vi6X|z+7ks1WYGdrA_Q2O03k$xmZqk=W~#?M-A#A3
zABdoENVG<EiP8u-@CO9M-w`1slmp_<g@+JFPAG!kSJgfJ@OrZsVrj-xRbPGYXT90{
zdGoO){in9#P`Li-0dpKbaCn@mjuY6)ocl6;H{JVb`bIiX-H4sUK@!<KRZD=dh3h#H
z_tSf++9Yu4dhtPaza4X1x`DsAE}Ehx+V|3d=&Gi4rN>K0s`nC;ER2GQ>+vWhIDj?2
z#ZQTT?ewiw^8<ueRV!rRK&E0xb*%-<VpX*=PDiTYxjs)v$(X4%CS~M~6A1}PqE*+4
ziTk$gu{g#iem8wKH@`Yg5*CXwvyUP^A(%w9C7aSwDz?N;(G$1Cs@PR`hp)vviia=1
z{@v$a_{<RE%;KR_5^M+#<DucKa&QpEkl~5Lm1Hc|jk*hcZRZ=R{c_+W9=OvAx>2kP
zl{^oAo-_Q6#1ka7_!LAHPeP+l<MRwYpT=hoVu)uo`}+o5+y(<JFwli*gLxPvzEd)h
zv7T6h?13#KUN&ELb{QdYQ}xPffWl$3$kl2djMU@h!vk7a5oZomnZBKl)b+}-$Hp8!
zVvcT9j&lDoXV)rc5f6h%nv=&WC&$clu@PvLT=iVv_7aDaCz7!T;v3>s@tSyDe21&f
zoSiy6lp;NBz-w5jT^v3(^@4GFu3Ex%97M#q+Q`r>HadPXAM=Pi>EV)E(*Y0%zIO)L
zH3U|n5Hib)Vpp4^18aV%ZbP+|Sz!MpVqu7QVRf^90ryH~g&T-3=3bN;>!sTIa^s1S
zcm;YGsjA+b(DH)m)b*#@N>x)t{?yX>-~kqlxs<r|AS)fiu#`03PPzCV>HbIJ$KogA
zO)l;oHpKTw!a5f}I2Y_(j1QNDeJ&j1#<{+BAoskkFX29le!8k9Sv2KE!pkFY5kTtd
zT*u#j*?*w?T3o578v`)CPnP@{^1}Ed^TLEPnMB+gN6fcHB{d8!%k^DpSqI_S9m*dF
z9DmvmCjAN*h~4Gf=&<$@nD8BbdNF`6vvVaTRU>3>l&Wh+;Lq1+y(3y9nKF{^mpRdo
zQBIwsy2$)&iU1HL8P(%oN1A3+-k$_fh3SJlXFdd?$fCc4RKI=nEc)KZD15GODB)L+
z7{XQ4wqp1Xs;_z)foR2?JA=Lc!1epa))lSorM2vvUr8V60jA=>`5NdU?2=vb(!Yd8
z0Vh`MqI{CamtfS@9QlBlx;qMdzNf7=0LGraNBs$v-Ml9eO|?-DgN2oAyM<+2(BGdg
zx9mWzgSY(<O$E^bcCf3v1HI<uM60@|bMH<ZGHQrAxPsz;%yn7)6R3P(sHmg=fAk;Z
znnMpkxqeA?wYuuM>J)I)Vck&0MpZ-qe3*thq#>i84w1R28Sz)~H%bowDAXYSp0jpE
zvqsT7=aNUBi`J)P&+fwbCSr4!SzLGsFgc307&(|#m%c%m^E6-<6{%<4<)x*|1y{@d
zg+e=P)0LaERs7R>-_gPm^#FyLx{5Np%Xf3~_*JF-$&a8NT%`Sp3T@Oc*VnCXNtq1_
zqMW8#RLMU3aI#S5ge9J|&?F_i$^zmw38|^F;yH`t50ik}>T}qAwpZqiFY0H#P-bp2
zTh`#>!wZGG)U4(%^`8qaRl@(iuEpr<VSrSvk)H<R83qxw6D3@#Wl|jmi*oWn@2?{r
zxlMH@iRWnt68|Dk{v#SPc(AUqe;^;x);3AW4t!Z2lrHoQb-77JuNs*(E`u9^TM`95
z#XzluXUHs*#5bc<O$aBLGuKaN45(Bag37ayr?W9Fbzqj(Z9g#m0NF?UUVAyUh`T0b
z7lc*Y=q4`un(|g@bXbEWvdJeO9ZG1bnqBlrHI1|KEJ6rZP5fzu7=|t%UKRtMxJ?o*
zt4%wJXcV*-gI_P-F$17ZcBb)EJBx935^3u>scL<jd^|4Vb!()$Q|@PBj0K#9$CAxM
z3?=J^j0N0BSgvKuB=WG@K!a}4z(}VUrkm8=!<1JhK_Gp^N$K!#S#8j)jPbxaMb|P<
zv9n2CUT9$qqY*p?%9~~fqmSOPPFyLhd~5~9>_Rrjj#SSKJeJ3gxtAWUs5QY5$Jw%}
zcK9ipN=PG<xY%tve4I={Zu5jiKKcYeU=*8Urz;~AIua_quQpvjOr*tqJ8%G%s%|1D
z`=8s_ad)eFXz?ftB1<seq1hgWgKP*%wG||?ilwQsq-wWzQbRHOHM#hv!CUZ<-@a8n
zs9jduBtr~E38=`^#e2hJ{xm_`2#q@^<|`QC)YXXFLF8DN_c&T<-==wWq*@5~3DOHR
z;yM<p{=_|{jIqfQ8Cb=ZT5;i28%{D0(PU*44-~66Tx5*MXC5Kk(mT+uACviutuW?^
z6If_60JY6e!yx9E1&W*6OKc=(H+HGg0GH*sF&ld%NXBJ54+wEv^&m`)5MbHZx{-ld
z`LL^Q&@T`{D?>1_Fk!<iqt-E`E|zf79f~S=jz5JXdhXnn>DQM2^6#eF40(w8eS%rn
zx3$W8v@>Slp29=*g_L1@XE;1LIl)jPMc^L<(RAqW;~^m9A(~FQp;^HVOY%7kC3Tm@
z!~JKT`z$oO8BOdO8QLkx+{($wAi%qn%jHCq5pwQ<L|3vgqR63HzN2>GlXGhko(uLZ
z)83t{?fA@>?9>wORCxHne;ZyvuHVz;&&ulGeU!zb9AZMYnR!Q0yS6~jW5awV-k@cz
zLO>rSA)W!~4NbobWO)FO2-tD`349<=3|A;s#L2h{x6Sdi;2>7dKud7Uu;=Q!?FH<}
z;;0dxg}xc>DZOyrSF7AVrspu#F)0Eu3HL&EaN+RMGDEO_3flo8xQoOf4_81dK(A)%
zN@bU7q}~R$$zsu>u)y0Iz}vKGeh+3R2;7;ZuYkThd?l(&5LB!5qnw5r>GM${o_r%6
z=nJB!p;5Bl5lXx-K1kF?*<6~|hV3Gu5woCgb|@-yI3rYf$H3v$59XbZ18?C08uVIi
za{=A0VC?2p^`$En{7A5oq>O&Ojw?ICTM%-FjmI`PMyl5B!1G`R$bh=helgpB7n*!4
z{U*E~Z7|{pI**aA48cX}C~xBxZ!<oN5jy#9QP{GVSn-?M{CGpX@D-Q=ExCWxH-6B6
z%CrNOCy%H4Zrn#1>o3B@IjFU>D=X9xUtYecX1|BV`M=}=4}nw7tYR&zhHht6<Ex`D
vzd}{SyhMv%WDmTD%hXnVXz;1^g;KP8uV=4u^kPMiylW2S_ACvWcJAPRql3ue

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.dp_logging.doctree b/docs/0.10.5/doctrees/dataprofiler.dp_logging.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..9528327c537cb46c9479e77b2e7198c4b883496e
GIT binary patch
literal 11220
zcmd5?>yI2q5x>{o-QLS*CvhU|b2bE%HSz6*B#OXTN{kc0TyhQ<I}t?IFgw$`J>%J#
zVIKA!!r+8N*rF2&JbVH^Btan|NQi%ckD!QzKY%DwK>Ps+l<)kid!Bo@dv_LjSUT@a
zPd}=DT~%FGT~}+rc>CTF`A_T%eQvoME!{L-&tzdDrcKX?d(4fJ8_BWfk}FA5)C2u;
z=*5A-5;1}v2DcnDU~Y0D5ew8kvYfD$j-Lvd5m}y_59c*L$)_$PO<otZ$ch|R`Xpu^
z^&5|S-LB<!6Y7Od6X)0ltzP-|Vj^k5WVeV(U&rcE!uN~1mXpiJ#biq5nwW4bmnCa)
zTNg8W6a`j0j=&vpGj5q7Q9fljdKjV+&ox)?si$c(_KTOcZd?plhx)`~D$=|3DdGG0
zAwI_s^Krf;zOiyXWI?#{#53Qy|H}`o_<?7KE2bXlc<NXV3syj3xS}Yld}x`z<|x)%
zK?rt^td7NPJ|b$CYqE_JN(w-JC&=e_0i(O|cNBm3;O`i*0yF|kGSCzgzHSAHxU=V(
zvBSR7DAQ6}G7(2qkL5uf_~crY=rO;SFPHfBcI3Ci^e7IP)(&*n;1!lvN-X=ECkPo3
z?sgkqXCR$`WfZW~MIGC&cLUw$C1}Lzc}SlXZ8kcwYlIEmalFekqwYj3&`A<$@)YNW
z!!9vr<q`|pUPyy3TM^{HVfqcnYPXaG9{m5#SxD|_z<5fD%^E*K!Z~nD3H65|U7rZr
z*=_^%mNEgE4iBWaDuR<Cb^v-V?(4Eh$~X&}#~Mu_tz>S{W*<w$X9tL5tC%X;UNXP`
zF-vBJBHB)<?gVV8Q4-J0^o_t!;)@nqFd?KJr9NV=V6Ayf%3u>y&B*~|n91g3#+cW{
z9fJ_c#CLFqLKY{n$-Tj{*c7uMb=ilVrPake5hD$zd}kH&Q{U)0CqiGR^I;l8U=J^`
zghcovR_UgO^3$+Ab%|*|pfd&j8HDAgDrnCS18tf>Q;1E|Qd_~|SNIPJnX3gd{72Fl
zV9O6k^2p5f7_66L;Z!JX{8%a-1GO-l{O4OHXT_KcI-MUl2SF>&Sfbc#+c>n7>aI>I
zRZYb01LO_Irj!V%qnPf*jw89{FA#f-FA-a-qoAZsh)L~GB5inXRQ4}&<MK#mY{chI
z83qf(#-lh#pG?ou<<Mt_)v*j|%vq3I>)mxOcJYs(=?{Z<u`JrD8RlBb%I_5`!|nF(
zGM*I%FbpO1CG=zdCNzZ(Ea@rr;cj|8-EtHDXEBA1i8g(B9Djjd26@U}rd&_?2-k_i
z?@DIKC0Qa$$r9a^-R94V2SOO^{CM20%|1FnLRyvCwl~}AB;<Ow_nF1)WDVlh$}CNJ
zglA^b$$JepdeW^tIK*rgqCr;iUxP)X$v60BWw$boBSZIr8Yr%O+~-gQAGnbu0MF&X
z%=djJC;Oo2Ypp`?-(e8E#9!VP0<vf+1pGgWh#NT(HMwibx@Ko#Zs*E2uG&!^J9KDj
z{WiPY@1RKEDqPs}qa!1O84;syqW9^#JxfCl*;Du#=AEUxZr4=z(cN|DWR|N4l?=ms
z$}IC&_^VZTUmt9M`5VxdH~EK|#Rcrr;=WI8LkQl=@XwU0u&~FUVo@VkbmbQ}I$lsQ
zx&4-QZ-esPupd-7-A_L<YTB*)`-!U(!D+9gbOX@>z;8bhhfxE%)v%&Q<TX5(QJ@iV
z1{kv-<dW{hEIcvuY!>IOojv!|W9N=%@kr~@$G&?0>&5GtwXdB$p7|gj;R?mpoK{<N
zYOh;kKSCpptd3Xlsf*dR;~5vV@5NqJ_F9z$mhk&x2FWw0*4NIgl|XoGef{iufywFh
zGw05nKJ_@vmNH#8F|y$IX~plko8`9#e!qpm!^{KJ(LSrz$wY@QrGSxbu8WzD#T--X
zbMR7(kS39zOJ*_C-+W}hIh=Via~i`8rgBrxKPEb4M|)x34iqOI{Vb7XUj_384{guf
z+(Kz-pYNBJpJKo0SYvs)@pK-0s}G&P>t*VYMu(CE3V{|7*dvH{G-L@pB#27B@Gk8C
zOS@)M%u<pkbuW`^$TV!8NWEXXg;@~QY@SfQ?iy|GPZcCT!4IG~D8?GiqzW;8Dw{fr
z=X~axh>NuiELLJA-SrW%m~qQ`KG#DlEOkQGiV|K*0pxRay*K;T8|tCjzg6`AM$$jH
zD-wUKlX{~<`mBT#+wdLBu%hI;n8K@aN#BrtBRxPUmDq1#V*8i)@0$H9dL#_(U*kWC
z-m7?k6z1rS9@_~#9Po{QUcJ%Sx!>Kp5w9FNv8(PWt>x`3o!fo6I68_S#)ucd<W4r?
zc?AS%R)37p@0j#dS9=$;a@Do4JnFC=PBO(T(rZvEzBOjC|Ac7=#Vq`<@-u(O{x>cD
zuKM{~e{hnz`ZpV!JVar-%suZhrPLf0p7c+6vk}U{{)w7opFg@7#jcN4%}Z5>hlVM3
zEgvhce%z5tKTcbMmBp<+l+D}vA=hGgrrnWqwViL-<U^vC5+e5PG>r_Pir8gB<uyQu
zJqhv7d}>i@pWD72M}z8ArL{GbR{IW2HYhUr0)`GVD}9m4=XckgB9m=VD2#?Zf~jsg
zM6o|Zgs8kwim~*p$I!fUta5anA!X{O(TI#v$j$Crmzdk2I~HG$c%Ba0W$%1T>~loK
zA$vWgg)eO<L45{UCg(p5>LX!1o5N^ZB}q)ZM%&${EiAQ(va6W-80DrMDyeDRz2KC2
zk0uRT%C;UNZ2!1KK<WY&!PQApxkeLipY$2!8-gp^>jo|nT*gcawse^#q}v{OETjUW
z+(%oK7AWcJ0G<57uDL2ZHftDFI5w$UxPit2ZXtat`w{kQB_b6H_8X-pBx$1{cl+qM
zx)(p|o3DBf^vP`I_Ps3W8{GA#-M$-`crZGt+n1xW#qH|{2RpT`+qX@>)*dA!M^Wr`
zBn(CW`h}6~znIOO!FUJ6DW*uBK~j`mI)l3Gy0dmqDf5{JhWUGrg4FAGFkM+T2MY+1
zn?{9i)1ck!^^wPM-^~K(a2Vlom{KJ{$&P1|zEiiHaIsTQY}fmH;Y<4Nf0w`x=Re&p
z;(t%uHB?ya)OXM9d3F>H9mL_g+u1>y@5MGA{Oh1~hzC!f;lWRh<L6!VGr)r{$Z7JE
zV#f5B(_9X2kkW97TC=DgY1VsGp#tf{3?hwjC1?CNk_jkz7>smY(ZP??*io@y!~xZQ
zXnCc_T-Ks0KEyOqauJRMl(Ov4Yg3S9pgSis5tC2Llw1*7?^_e~E_10?zzY(*AXs3K
z&Yq8#S+xujHSR^c&ZMt#;NWdO@(hhCMCdD)t5FpOE_M!dJTG#Q{wjT39i@!B5xH?s
z+knvb60|J9pj*CXcs;7O2{Gj%)xsPmTQn+9(6Txete6f+3s=^}T)=!Uz!f`{H6*KJ
zVuqvcA$zTf{cOVmRuQh8!=kljvUc3XatoLBz@?M~=4E;hE%hkCH7+rQG{}PG`f;Q&
z*YGHDk%)R6b(X)hEH4fZS3hbj2)sb!x@)551vnF_xKkASyf~`PQj@bJVyW*--xT&k
zkVLVd<}GN*Mjx(z=o>5+iH8tCaX{qAtLb@1ce}CPWkB4-RrMGun8YmsGrYjmOh)M$
zEJI~9Yhn_YlpWlU0ujs9aHrj|Ht3#nL60L(E1JZZ1)-WZ<DReOf(Kw_15!3DaCL_!
z+$URrt{c+!7fpW1V$;)bg^pf}NUnGx)5;^Ilo+^`vrw@jMRcELTA|){h>?`asZ1gG
zaWMyGLa2Z&e!-;kX*Z4BCt2=vke;vzF6!w55<5(@nb`7KlzQc_5YhdlRgfIF3qf?O
z9@0MF9QntGHL>6`U!!agv=LXeSO)nm9}*AhNj*e^N0A?%SXsGz`EtwOjJW5vyr8>c
zvP&!I8LlMaHX0#G!3Zrv+RK6NQ4Im}myh1}Adp=MI!50z)KV;SI9n$2JQSf>Eb7Q*
zc+_*SL_N~m&>}P9$?CLNf=u?bTs?F0HC4QDT`Y#1ZlrH$-0E@%e~{k^hcb_1F6`-0
zG?~^80n{z>UA-b5VdyEeO9n?K*1*OqeFMr8LX5r``^cG5!JMpuOYOjQNRMY&ZU-`u
z8HNL7D#Ey3?YGE!ZDvAOH?bCHNVHuSw;7J7U(^_Gj2#WNA}GF~lD2DNoVk~%{!L6P
z69Jusc;V96g1|?b%G60=*pG!EE)lBuAPOc`yIp}1tF)4PC7Ur@Cx4kFwLmc)x=&G~
zdbSs#xAr{#3q_rpDMLt|<cGD8--R+Z`5hP5Cy_{=Ow)!%b~lX&@_M(EGVm<Bv#5~^
zk)chlkuS1IN7g4_D|G>-F7NRVWTY&k=~&E{WlaJ#kIbo5Op<EVLMA2ar*@>=qWYo8
z53<>7drmICvg@sVjd|~SWyX58svLBnGCxj-Afn^ww*I-&FC$_G2G8(fGG~dHHE_KJ
z8G^Ln(3?7)w%@=GznH8;WpS?yBLIO3VQXnY?D0al8A8Fc*5de0i$hBn2DhJgVFj@O
zVmvBxfI`w*d3-<cd+rrVclLD>ialI59<pD<h@s9%dgrh@E+%BwTh!!L6&-e}I#%BC
zq_wB3H4@ENh>GF{F~0^{oxn=sKz<%%z{vfX&6}mx&RVYF#3szJ*QH|B8Iz8z)VdRk
Hal7?D7nRSG

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.labelers.base_data_labeler.doctree b/docs/0.10.5/doctrees/dataprofiler.labelers.base_data_labeler.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..8befbbb137a7344688fa38a4386a000ec8f45280
GIT binary patch
literal 220960
zcmdpf37lm`bvLumGy}*sicP~~?}45M0a06!Z5*~?kwuYlY+iT2nfET;?=|ne9%c|!
zV&ZxYQJNSNHwY0oh<+b2E}x29)aV!e+%=n96cUXw8u#Tp=hSkm>Q>dQy6?Toboj;0
z>s#BYf1Pvc)TyddFI;u^x%(~K5C2OK>de<0&E4bGnVDv5rq)?Z*Uq%27v^fs?&4jG
z8}C@WeQ`8h*RI~uX)Uy;Ym4cAkYl>un4M|Ynv2^P(*rSkw=vrp=jGRQYSZ0Dt0{}u
zSJhY7*KA)Lt*=X0bsOE;nv#?rd_lESt8A`ztCg+QsoHF<y@;71@5*ayyO9W6mOoe|
z%Ao2))7A4;pryN5KR8`CDT%MINLO>3uSi$UHk!4?D;B1z=}@)XZ8xSCy3kkb+lt0a
z2m7&RdbZl>z(@GKs#%?5zt+wy%x8a0Ri|%i*LGl@g>+4~x)YNY>j%|`>+9=B)>qU=
z((6yXu2XAwPQCnDH=O>IGftgvx024OGtfKuwW9&OI~6GGoXRNE62@m)_dDZLfXF14
zndG0w+a2iMQI{=Wn5yrWu4*)AYP%H-8NBtQp*!_s0J`Jge<#5IPJ;h!#I6B4?FMyd
zG+jAgZL}BDQ|DSU3$wMSR#e(NBrK-mti-0!0`=8bbQh}&^;7Db6nyS1#AipX+FfYZ
zCa2of=5$?y=u`pGsd<Rz_e>zN(9!13N^3`OzW~-{0PDJR9k5Y#XS+IISD;NVxUkji
zRvXPur8)(bSEsub&M1`~?bcl7mU?5lUg31fq+1%Zvz11(UTZhH<BXp-^rfnd?=J*U
z&u2_`Mg1sbZ6^cZ7@P~dxldv*cmu{@oT(e3FP#0+8G3aGMjUiXdI4&Z%^)^gnIKh0
zX{2BrLYZOXV)~>&_8vDHTePw}8yS$<m7rRu6}}Q0aX-+XkTTh6fG$C{SMsFS7;TKs
zG}`mkZhfM1<veQG>g+aP$?cVMDp$0cwXw=<t2#5;qNI+JXQnaT6`3{?GmZj92T{A#
zX0z3;8tOV-&43e(EB?%wZ#9hCY#8&U>vqr0PITt0IC-p{Z`VLQ?y4;!PbN^y4z4%f
zxR2?D{P?1b0dDIVZZKV<?iW*JeN{Rd$~gko@B%vUFK`1tn(hyrv<Xlq>e2&{SQ<?F
zyQWSH^;_%D!%?_B8-@C9q)DKc>!_Dz7Y{NRQuHMET_^ZeK7!XG!Hn9q*r=P(J8gs>
zLWH8~o~w0h?b!y*l**u7(7VV;iD8l|n^Kz@@irrCpy5DSpEQwO!z&Po%D;6a|I&?Q
zx~#caRmT^{_5pzGt;Dv65l-0j{6cfOyO5LlWfP)p_@%e{u&>qme5)Vit!_w{Rg9|M
zs#aBhP$>NL08OJwz}C;#nlqr@CwGI{r2x(?o(<_*QO;=RYic|0nGr18+K!pl98B<w
z>GJtKU@O6g?w)zjRjWvD7AZ@&+TK~~g8q`tfw{0}f>}h1=}Cd2j|y<l1grN79G|ZM
zQeS}a`H%!+*)};0+l)T_(9@?+=Y}2!0jvJ1s9IvS0wxWk>fd;(RxL>duKM>ftm=<y
zC{Y6{K=mI4bR3LTwEKZ+w(Ha-kAby{hd^iFYq|yTz8pqEJZy|gQgg7Bn$~=+UG28o
z3KOQw&XFXaV~~8Zm*jL=D<?I{C>CMj>Y!&`y1LP%m5id{R^r?*=wN?n(wm&?Ck1rU
zj_Sf}cXC&CcA=(|l^)tzn4fR8yOW){YP);$LJL<-F9Xg^&XLp_C@btDW|;e-TYnCC
zzD2NNdR&01LVX%lbi{hKkm#}gQSbS)y*;m6`60Ou3h5H*RE)_^e*;#=6b<CZm{L?e
zSNeXSP(0hnn&a5yWjj+)Iuy72DOCndRf!%M&l)Ne^kh#CQm2wj{>V?L9a7#v9*&iW
zmLZyN@V5{T1#6@X3~rV8E<cez7z}yza=C*E7p9VpK!6likD~jOm(b*ikZh`5uIUN{
z0cd!dN<*QZ`+GknmztCmDmPA`fv3VBhJGu~cn>H-zTn}ewo+z$6&*L=kOCuZF&#p)
zxHXl4FKtmX+tbz2R!9BO`s#G;j)mD-GCS*cq3JPGA3+)}TLv^$QR~oz$5uDf;PX%&
zfMP{HT0c+n#0Fdoz%rAWGZQy5T5sf<X+ye(r)ScaeX0*9tC#C@dS<7j2id9w2hEz<
z23YvjS!D`N4#sMj*|3_Ur7OO}jdpZf5Zqy8Su)!XjI&M5IMWcv>F!XhW;i(r{_%NQ
z($!>7PRE#picOVNp#IFPk|yZ>P-|`X{A^>o(OrBQWw@o<Zo*H+3Qc|o9In_|^}95q
zOu)m;&XIHpEVz+3iBT4&6ge@xo7f+4ZY5{o2oXCcEAS`d=!{=ayo$WU%tcq((Q1=Z
zNP6xV^K_)ME;PI3w&YxFbvQYPH(nnJb;~W4k+8x#a!Iq%ZB%C)w=yTb@V${7Ni+*`
zWguR`K-?M&VsaUlIO?($Faipl>(ZeejoR$Yq~RCfYa!T=pkzg(2*;c(X|B|VfRC83
zp(AWi^^@!hR5YCIi0MZ%!#ZEZf0%McOH@)a)tcFpqZE?&p90NZ>)QK>n=b3H_miMJ
z=kmof0XdqxAS#<SRnW^=>9#Zx;hG&hmRt`{!aB0m+^N)=O1A~q$?|U<mX`&?lA`MC
z%-5zHI~voAFHKH|lBDR8Gq4Vv$&#1gui@lH@DISXAzfAZ)(h`491oPL+14A<!>qlO
zlseLROKM$3%4s-xA<?GKJ%+C)c|PmL^C)Zb0{BPFwVYeCp?bEu62kFnaer_H{1miz
z*TK<iG^b}5W@@DDutcRXUK?i$a0nG37!tMF3jBb*sp(p$(`qx89!*}Vw4UlqEIzXO
zM+q8n{X^Ij+72sHfyrwit9Ml22^rj@im7T#F#4DD4-46=epU+nV^UqrKMxQJ5&Yw=
zGTDQ$4JW$-YVESDsFMn2;bf9!eNI5FH?XWiQ;WH>+zwEETY6EwHakDMu@dZ3Hyqg&
za30rNGqC@2cAzWI+#eW63iM4NIT6Y3-Kb0SXuT#rq(>PPQGL*(O;4lE9j<);NakP3
z+GD0K`$MuT3E|2Wx@hRkGg^OL{q>raD;6{0Wl#2#Wz+li@qHPNJ8jO~E74g#$~L-m
z2cTu?1}ie9x5**cac!fgU4vb@W=Eaml$EH(<3R2>eJGBTa2Dx9m-8iE0rsixie^;!
z7XZxGA5M-20({FBKK9875^4t|Qz*%=KzP|&HTeZBIg($(|I=70`7N$Qf}P^9JiRN~
z4=PO$vk3uh6~bzj4-PE~euMghEc|3S{1oHPCQ5acdemmvQi9_iwMums7mri3H85_3
z0VnO#qHJ<JlS>&y7Y7e1U!N=)K_Yyg&btRQZ)SB|eo1qFq04MSFdycs-42-+u-lj!
z5aUBvE_ChLTAi+vPZ-aAt~DE}XS0!dR_sV6&%_dJDUsojY|HUka%1k(Xi`(YrE9L{
z+C!Mb;%`YMsp^|zNEEAtIu?>b0pgu3C`~g-PzFy?S{qXKha`gk4U&Ib3?;Da9!~Z^
z37={~1D)FtNO7PIQ46S*+Yn-i#3Y+3D)Sr^lClgi0;+}nkO0EozFu&YxrA0T!@zXG
z@h!vT%|K_m26QuR87BARpR|ju{Jo~xVh6Tx-=scC<|<#Lau-2qv*#*0cQiRyou9{3
zPo=FN5KGwJ>h1yi=jmnbAB~hA451No4lpVPi)XZclhF7u|8d$YLZK*MB!`ojeGEoN
zT`cGpk-8icwh$apNgkG^(g*f+TgZTl44KSiJith1wxjV?hwKZo^ES)HZ$xImC7;J?
zh?;ER*sh82-A+_2J2l_*wq877S-Y8RC+~+!2V=bya4t$em@!L_i^wAQ03QpOXZ#k|
z2+VPC*mPH|(yiB+d$m$)PPgzFN9JBF$R)Wj`3<%^oct=76%b}T?6~BFm0<pP2J-+7
zj>oJF)r2@_a<}9GSZIXH)MbSR#~2DU9#U-YAuACMSGT4caO?;sDpEw;MFmHh;Y<P7
z1962Um!xs!fS-<uL4XXMqo72fp@T@7_Jpdf5LE6g849SC8#;nDq6{4&wsPQHh7O#}
zWHx|q>LhOmhD<I4DwB8MudVp&0r~4e_|<>2=K40Mk2aiv*CwpKm^YV~HE*mW^<d_l
zV469O2FjZ|H5jURbEhgxrGK@rn>!B3472BOM>b~uI8vo*A<MBVL5VkmGC-3KRugXq
z{hqgVRk5gctF2wd40;Y!Iv6u3kh6t3v}C!A=IiJ3u_-i*PSDIES`gwE4QV)OA4z{y
zU~b8!$s3T4;pBC}tRl>$r49dUGx!H+F1;%TRbehYh=oSD%=cz45x3OHUSgJ0h`E$6
zB)P?FF6GMsUwtG70Wz091SJB^B}6LFTzY#zt=wD^tPy1{32~MKSIS)aK2XWbr61rg
zGMDJrV9cdUxH;Vq_s`SH+DC#h)k}X-8(?&vY;$&di`_-!8`9+*KC4%iv4ED#Qt6xb
zbqh$KZkRl)#dl`oh(DzQAfx7R+0S^RCc`K>468AX8ai&1`F7|}z4ha~t-FjGTf2%;
z^BWMi!5B3z?i5zc(%}>`TYd*X1?`_5s+ldsR?<kZrpZxG&czXi^KiifEliRnhUEnB
zAeevyv_Y<pfl=5XS7M<NE~3RY2psI{bn))Au0G7qa)|LHm|kEwnU0~8EQK4PM4+XB
z{Ry-bwg%M7Ed?=vQI>*`APH|NOW~D3C9@R%5Py-SK)(iKDO{;;)%L}ovbn6ipi<I<
z8|6sTjiT3E-g|OCj7Plp<j-ZP^d0-U?VuxNSP<*=RAxu$AEg=~YvSFq=keA=hFbDh
zSdC##oPs<y$&U_z`&b^mx=J~CP`NETCk3YfH^GKdL@B*5AM^IbWt-S~q1YyGfJz5r
zoA_lwSSU-4AIVO66Ca5}_sY?loq|IThg!2^Dbi*s%qKY^`3AN<ocvQTGYI=-Nh1CC
z8PWr^VtyP0rm$lE0}G9C)lh839MfipZfO5eWdb-4-RVM18F^baAg5%9G$1o@%gWWE
z(+1;~;ba+<2sD2Xh(Pn_2b9%)!U0-OxcMVSKFa(Nf+@$Pl=(9beP`y+srZY`ANn;I
z^XFoA;JqJyl5@)1Jw!qe2G8N9!NV&oZ|Phd%(CkC!e&`2{fm9w(%}#pCeEr1IlMH&
z{*v-eM$NNiC*zHp44~whSdC%Soa|vBB89A+%khSW^!75F1`HtzBxVHbG7ITFsd;<i
zGHGmmP)wS0q0+&aG!8Bow#<^@I5J|+=hzn-F_pX#Lo4wbzp5jxnBt6b^piWV_2J|N
z!3-eGn56~sZ5hY|v|kouP!#sdtFX`r*8;`%%i~r1g`_%XxcIWjkxzZOfFu4QrZ42F
zxfe<Vnkv}mKvU%p18U`_iWuZ5Q$>iM9D-7&%4dN}W~zJ+f03y|zXoHfTs5zrmhX$J
zru4~Pjg%ftm)!YCqvG-=%%d<Q@y?omk)`(i!-57>hADG^k<8pR##gBr$h7&n?0mdw
zlL43f4689rn=z;7MdNARVKeS=*w~8cy;;4cHwMW1p_n({fW8gJyeW_bVdm`fM_3KE
zW6>AB#W|~txuaF+Gk1)Pk{gm^krRfKN-#qRb7yISJ;M7r*v+RW#-J(8p3||=2$!s4
zv*%dV?9qldXa0m_l^l_V<OYt}64OUAhc1K?f#wim5oivb8c-`Yhs5AVnL|Q6<<OKe
zhvtDwW)9tqzsMY-UxP7+F7H5m3%a-2>B}we3p}fDn!WhCOKvr6Wg&&fGdg-OgibSk
zI9aWutds0IjQjTYP*y^C2h>lJ`Dv<uIgF6oI`UuQd9f^;zHMK3^Qf4RNs`?MU$4T-
z5X*uQ<`dPZgBV@DIwx-^h(C3R?~yRstSLvN!Pi3}xL~Wq{&Ytg{7ZiW_IPl-0ZWiK
zOi@{)o<(9+?qykSw_9#$ecY(a?R0kCZa2b*=Huz*LtEjj4Z%~B4-<w)llG8z42{gb
zGp~mV?<Pd6OkQiN))77+6OrUk5DH|y<S4ipA@3+EcW*6_S^@_Ad(V(2rvm|6{I8gJ
z0sk7-eGxCfhCqgMatG8l7(4p$Zbd4i2Cy+9N8F1ztc8~8ndi^Wwr;5`K&Wy&qz#Hi
z2^xS0Wab<5H4MaBnQqO^L;TfdH@n(auCUZ6$zf}OiH4Iy@SmU{I>LfoS_+y*<RIQj
zP=o6*BK?jAMiXl_?Xj#N4}`JS@|aPr(&uf4;Q)(~cK>#?a2)Z*8H-miF~pQPM9fD;
zHab*+|I{tQbLjK<`1r;#N+b81`B5`Yv&110TOVF7flw1_tgUp!OO=?y3vy*FavEci
z@fa3K#xVCtQo(<Yx@--w*eLuY<cBg;l|Uz8JfKS^ITo@BUB<p8Cn=xOD-BRxfabt-
z07-C+CY#hY4%FKah?$==h%SZF(8Y`KpHL|>Ai@A{o1r|Yi*poO7z9dah4cE-Vc3JR
zRP?PEz8P3iL5_W}AcqNAtj%N_>;JQ3`VXrb$senr^UtKt8<VRt3xeWF&Svc}oHC_v
zPOg~sM9eB1Ky=R!Xy6#uz|$zJg8DKZ;Rmc6wcpQU+4tZ-q2sRhdo7T~+VXdX_nV23
zKdatv6ujf8Gk#!szlDaBz=3t4pfGz2yfMSBTHjRLGe$AIJ1|)_+AKCptqQNx<Y%kO
z+yWfjga|Ivb*2*W?F6`BQm=L^wcU8AlWEXK+cv}P-9|H+{xdeVuPr;a>i~Lzr`2IH
zS{%|vjrGV6xT~Kev9$7fAcj)mH+dTt8sWBNq2J{CS3#^Lt{mZgnCUJo8aL7G#_wKZ
zEMIuu04Kp}1$cyA#;)va?5Z^-XADU@rc!M}oIr@|BkpV0W-7#0WcJ9&NswIWEKJuY
zmd>JZ;t6L?R7RhE_0?Bied-w-E7vt4qAo;NhW_D|Cjbczk8v^p915KUOw4Bdu_22d
zM&p570(uxlv2qmGBG{m1Dw{awBf%V_hE6;HO63D$eh|Kbve=L=uZ$YaV3MjHv*^ow
zcH1v~jEM4Co13p!I}JSq8p0$dVYXh=Isa=$1Abli70f-He31xtXI0maEIf}TFfv8n
z(N~no-$TW2yl5dQ!BS@v8j>7VjtHZ<d|BkI1mW5{@+bynZ#F51KKV5p$Y0_=WoF;?
zzy$(FvP}1%nr%(rG)XT{<V;g#9^BGLxdn-FRY%sBss_B~m}-|Cw2oN(0Q{#6G6w=O
zLr}QL;k=f$BR~vt4U;$f{RP5@790=cg)>y3H~W6dT0E@=MoK#?20k&No`HpeCsYv(
zjqRa2Bc)vwLkR)A8A=q59tRjHjsn<kfb#7EVfqB|gou<Td?pgW{B}X|?=Z;lECGd3
zwS^DCbiP>t9pjq?_-inm1zX`QQx-a;FM9>&m)$FnWc09Au+{W%$x26Qi(;YzLAb{%
z9f(LiSydnXQyvC%ZzHUewTWp%`69JC&4Mq7@p3D!f=vWjHht^9ZZ9f`7<&jCg8?Tn
zN0sM}hO(kOE%UdpqBMa&|4YaI9*JMf?gA8oDKu<%!QX&mcY!rv+g&iKQ+5~VX)v;Y
z^PX@@(|i7Lqoy$1(DQ5&wGkFH_rugbqeaKo0%dh8VQp)H@+!<R;uYQ;zpUZe1;@z0
zb>trLBWLf&cNlF!Jo8h319qO_4On;vQ&jz;@Qn3sz&!h8FH-49tRK>AHbzwOXQ}H8
z4-aJxg)!1vAV8Ny_w!dr`-!!q${WZ-Vv(p#{s!XFh>)l}5bg)C&hyjh1HzC)FRME^
z5xhg84`5yICDi)>mR}lxhPVf?5<ev+9>8J*8h9!!lGkg+c`@Spi>0t9e}X^zux0u(
zZ|Btu4lXJ0ZOilzpnacp&!LiArWOP;?2<bmc`#e1M>q}2Y{!&_gzcDeGJzNUQ9mo^
z&&+^-k!%^<GR4@RXg9MjwRU!vuP~$3-pOC$m<}fo1P`s)30+cFCIS66-p9S-mi|Z#
zpkfvMAuI%|XvQ4C>y~)q$*s8%<fHzVY@W<GW)zky<hX9uZsANcRU?=6%nUeaEeyr%
zBHhCpU`qdEaMx9T;ai|o-oN@a`0DVlVv=Uf7;|&-Rag>>Jym$|4<6*@Zeh!m{hvl<
zZUY8=G~Ac^Ln6+dRn>w~zSN&U#cpiKmnwnD`BHPZIDDy=d>g}ALu!yTq7Wz=v(-!?
zTedUFr}O0klyN}#yG~!AtbS>j=C*xB%7av>^(v33j9FyBK-#+4jhiv_o)bLd+t@@!
zhVa-52oOAXA%ZWnyi5@rFFeUL1ZP6|w?vYB0H^G)bG4hh+zcXK>pBVQatIG5^-Xxr
zGb(e_tO(CJM4UUTDm=*=$V|_a880;2HX<&7yl!krcqA}6;mP6R5FSgus|UbGk~h*p
z)DGfk_M=!Fk1rUvoH%-`6whRRE<nh+;}$2$K*#O>Vfvt7Z-~4Yx~>Y1n|Tog9@6_o
zSg2r5S2kIcbBvxhL|zj^32D*AfMMeRBgIhw`$w32#)b72=Nad=u>{cK8D9hB`aI*9
z&OGBE#$R-do_-C+Gfv0oNfqn^$LJXyJ^03-WG-d!066a*`)8s;0m^Qp^AK(~I31lA
z<gk4o^^;U|Gzoqk2FfjHen<G1W!a^1nqFXHc)}00pv&yn>`=Wkk9M|RG{8W&$Ep00
z1TDh*{R1eZ``p}T>wo8O!0u||4Osj~n4&U>;>p}!VMn%r$sN1^#fq7X^BRY**Xwj^
zchxlU_%K-`VgAd5p>Z<RmYI*LVv5#P#dCa{SkWxI&FIXSQOf9y9dADoK%TL}f=zte
zxs<2*+g5yAp+M3}m>3|98OiRRWb9>RRj5-vZ;ukM8z@@xqUSBsK*=M>r+x6e?d%!S
z-aK#9(0+vH&4xgRbMpTHmBD!4td|wI0tA~3-v;7iLLQ+na5YlsdOQ9axSk;2+F>g}
zr~54|vz+mgSK{CfC$9(|W9$h&zq2GRBZ%pTU0i-C@8n+b!M!O4QDLvY9t%k>0j{_B
z;1qlPLe{^^C=1gHFW!suq0*Pq!GpfF2JlNea}=oA*)*m5*~C08PBL;BCD)Lh^jE<h
zR2RfAhEjP?+q>Ya!&!hy+7x8W1G=Y;O?#Yf+eG`fMs;qjipwbOYx@L|=gz85B~iY%
z&p^d)bjV%6pfP%hZ+eUAcP0IykIlEs^pX#PA77dc1-|r$-tte%wEUw8e3O5M%%Sd>
zpF-Xse8HN?xnpvi=WxeZ@|_$Ze-ghmrWELGv)ycxb9pl#EWjCAp0C4E69ulr|CF-!
z?Fiub0lL7u#SY2kj*e5XP`Kg@b99^=LkT%L&V~{`Q$+z7DUJfzJG>&+qnP5N938?E
zkpNm89VB(0BY>FB932hl7;|*cufaGvE`<~PsD1i!0Px(h2LL${J-9d?F<l&@Ur5pf
z++l!2<=f`r%0{&_KHX~9#&_V;*5jKYbqoF)gR4MUB3x%})H>tW&_839=EB_ko^eQS
zx2t=$k5#7dI?!aNacgY?tb#6Fl04&dsDL3k*_y`_?CKFi1b92-!VAn}m0G*qYEQz|
z&ACR0E*4Exrdq98NZ(SO?LY>2(rv2Mfx7wUYugJo^2x|KW3-+<R=P%l$9x0wZ>bN-
z%J@C64Ent>&zEJ>`}g%@i4qON74wPzA&kJiA({W^>i&0(w~-yaT#0Q+JBj|#x$Cu(
zLn2&HcSE62*VFy}2JEg7-hjpRgejUaob`2UKXnC1(l7<VNLod$82+9Q7*x4uY}HWq
zIInmsVNRF#=7z(4`tEanO6|kJ8_0t(tm<AvF&hy5lfPlbnG*<+x9yU^EgzGM3jC>y
z%8&d#h=lG46*_I&GMfFJzu9=;JS`6bwnGloCDxFQNZ1b0rgQ_UiodCNsEpQ1!n4eM
z2J{R+#XfKhYuN5&Ws20us^FkHSziT=23kFvpboQ{OSvg#D9a@#8ugPdL(lN{*WQWC
zp-|{_GwE-@4k&NHGTmT`W4c)Z1|;inUN2Ib-tz^cCPNIAF$vUv)J7Ob-b?@*Eqbwb
zKmqQ!&_lzo_V(9%XxKj-K!bK@c=;Kp3%<jjI_mfNsVH$^m=RY}qD~B3YUE_>Afue<
zaPGU_`ww_~?}*v;USgK8TQ#5dH(-}G-hhS0FvTHl2VO~wv+C?NT9a{v@{*U`T+pHT
zrct#a4DsTZH54X;|Coc-ZKVCgPplnQ-asA_+a}@igLI^Oh9f4TSsn`a1bMihP#+YA
zjN0{`pBW?c-6k)gUVT?cgQo9%o;z|Foa?8ggwA6G8h9!q<Fz7=E^wRVl-<F(0z%zc
zQgkW5-rIGD!n+m<g_;*T{0-RIkvCvbc$nf)cq`F|#5!&fX-d@lew$HO?;=f&glV_k
zgrU)-UE=&`L`d9gy&d*STp<mb#H}Lto?t@$mk$2h{j`*jIYwehnLEtpiOdPw8lFq^
zO#ZF+?PK1)IfUwAVu&y+;`9Cn>_WvGum}~V^h>B7G3qinT+xAnRyz~xFroSmVQ4gI
z7b-s*5kj@<F*<m9>t3NMq(Kv^mFOH7oX7sq+3vA^N=k?nBQQp!iu2-$qs+^m{1G~9
zEGLfS20-8;uCu(I54r27#|Ppk#lraRbZFeShi6>$vvofMF4+T+4Cc7eV;x&Z@|qtT
z4LWP|JnlsUQSe{$JNGKK8^m7-#+YD@=KMmJ-SwNQcHpwsEpVD7cmI#Y%#pVMd#*=H
zL-HJChT-IfV4i?YRyv`yg!X)Bke<bR2!oV=;i%t{>sm2zie2_uEHuK!+!47h{)*rg
zxG_^1<@*;i+UDj=wwXCEcQWZBAr*p4P*XLrg9)s;0I_=6M6VxcD%=Qqc`zL6agytx
zRQ@p2i{UF+)V8o}n50e4hH<MO^Wobd{IrdA>*b9`h5Cf0YDzqMz>hP%jtF#TRVVYP
z<4pHJ#cq7)I1>X$@8>eNFW^08`o{;ri|zV(h0(-Btbdd$h}M;#DnrTNL?E3!1erq*
zHhmiMmO$FO!}HBDJq*Em9bnDQBnY6DFFMNqS%!umLLuLbt@3je%0C$Z%0mb1D!?s<
zio}MXJk*pLQoyW!(s3RxL&f8u&_Hk=fr?9Tvu|gqO#e8_u&7c3`;qWtil(<6M*%JQ
zj&M&@a!687CNO=>S~K&~b<poc1rmX*#jh>Dkh1!(EstfJT$NGS_@N1yzQG;jTWb_K
zmf4MPg2*=is#{`wI#WMMAPDSg@YuO|M%+T)PAqGki!n(XQ}29{?RRZRE&E%$jLL$f
zx<kadvzFFdyP;w?HZ%`QU~;^k!^OetmVA$M@`N1W)SU-7-K?{i({CuiFp|^v7+X!1
z(amrOZX3nmLx<pYVtsa0t~#qe8Udzgl^&JAi~774ytiK+!qx9sr7>O`XO9we>aANQ
zA!_rE21F&Eu653#gK{>p$!&0P*~xvE@R9&M7|e`rCJ_SkHp15`K$sLRKr0bQF)^_}
zbgDmUROglpWnz4o$a7~cEkYlMirwgt2r+0hQ#N@YP894wBUrV12miiI2RZ(J-Q*81
z@^59@ePmF;{-6}Fsn>E{afr@|ZhlZ$Cj?n#8v?EyTDBbyE7S79P-q}_)CQ=y1k*kd
z8H6+Kc7tih%5;!JYcZrSMbjCM$;FcI+JR_YDWd6M>W4|q>`U>ac7K8JMNVor=C%|o
zqsYrNmo;`&y5NiE=ezN`Sf^X7&Y(?qOSRqXR9f(gfOr;QNSyty(Y-S9?u2dbvg}rJ
z9<!v#QK0$j*}**LW_B@uT}QHJoxd<i<3+EMEmQ?fqq-m^bQ6*1&RTl@num(r=+OKn
zp~;zmIb<ACYRR{`FZ?9=A?;6nAcZEa#Zq{6!PrDf;RSrZQIWkZv(=p#`)meZXPLw2
z#^ALVx~d5u=i7KkqXW-YEPxQUE6o-&pUlusVcVE*4(3ib*9e)qmw>U#6ejgirrvK<
z=N1%YVt)^j=gwMMrak}_yU`(;lF;O2Du;|irY!kRi{_I|e&Wl5te7+u%gP%IFwe<~
zw@MM1>Gl9O2EVU}TN8oT=^D)A(XYTv%MR69-pzOj0>7{LTV(8lofPGw_x^lAi5IlQ
z8cO??4Y>9h#`2ID^5_!dK~TbHo?<sR>e!7wqrU&uweCV2p7+}`FE_}wZ?daoE1VY7
zJ%RovEEJBuvUD{}1ki!DrR>v#i7Km$c(VoC==|c5q!E8waXvBP2wl{O`vslH=Mr0=
zQP)<*rnVeO%e7V7Q}J9|#dLOUbvJa3U0bDJgSobP4LxDpuFbbw;P~mZ+I_jddNI0~
zp~@YNSqQ{S!5ZMPw{hI9pTr~<GYgW;69XnSJzQk%7S%mUl*o?51K3ug)m#wXQj!ek
z5@cCew>*t5rLuL0a;fw&`5v)#Z9YL)Bd>zdSM3&EiTkgazEYM=-?^_}GtJ{;+&8^c
z9e`H5mtkTPRd%7K-&L!D#tziU7IUQeSs(Pb$bpNv{dpf03Oz6TZhr&zqkX&q%h5he
zQJGW;JT_5Yniy93iLI9^b(}wA(5(xXdPqT?4n6lndm%0C5ZEValnp}dhY#6!xu-ex
zc=(%a)hfp*MP58tm#LNHjR>ISTphhEPF|J#@EH$Vk+Jk&Jr6{0k-UBs)_oB}--bYj
zbMjKCZ7@gcDn*l-JY&a3hK_H&oP%3<#_rT>cswtZS==g;6B`A2c82zfE+?fh89odc
zXgE0n|A~2=Zb?pPG#VRtSNF<cy73rX#UkVsEHuJp+i{pqSpsg?XSj-HPkAh*O~7H?
z*c4CQSMecWIyNVhm?fnjnlmR)?!GlYOD-c7b73$P>e}TnD3w1*cP@N&9Hhe}m6Oeb
z#oDf1dc2CA3oBtWgk{!yeZ4`BF>xpwUhz|1N8NL0RVTx!V|X_}#cp)TPbHzv`KfZq
zI{Z|Ye8)?6@^P9(E)B~MddqApn*>}3V9qYUR`Fq=90smvM=5LHB3<1D)u~MEW(CD_
z^ha1ITy6O7%ZZmThm-qaC?S`@Jp_fHV(uhDilYGb4zGxGB@}#=%RtQ05<rW~U=GOj
zh4jXB<}&y@{6!(X>DORf23v8-HrJY|&GyAtQ2Mb;Nk$J&f@^Jd73&-Qf7fbr3OyN=
zgZu%PBN}cez&eFgw)$7TNbN(j)%Rco-4f_u_J3QJ-S;28R1h)N`%j1lp3Rflvc6;u
z>gs(J5g{gE{+B*dzm;f5tkr)Bg+kZr>ks#_LfyVr=M7la>X@Q(ma<kq*}hh{F*$=I
zzqpI3LdWq~e>W9NMKwP>Yw;LT!q(nL0g1W&2m9Ka;qRU=#CrOEFd}|R%;27}L|$Bb
zXR@9A7Y<|}*4~%(418~E?~81xD#OjYFV@~R1TvhHe*#nnv-ZxtUzh1Fu!1OvHX9OJ
z=6!>US>dAlxNG>Ln^cW|p&gW0idAwmj_h#K3LaqW2Zqqz=U=hQps%wC+Oxcmdu3Jq
z`!RruRrMWMXoO2`@v3?=V~0_j@}=WZEFF$xEOg*>2HbpvaN4GahP1SCEF)k_du?$4
z)Wuu^rSePVyWy*2sf<b5Ok_+a`cfI9Ugd2qF*Dl}r6iC^^`Oz5TjAoOhTlkgJCX0s
zs?J4GOW}7y#cuRyDJ-GOEroN)IhMkfe8&gzjYKXD%MV({Y%9~ruBGs+3$Vpu;43v0
zp1_sb^C@fJmcoxhbt;p(SpmuAhbX>_g~DY$Y$^Q97)od<{4;{WPca7=DUJfzJG^2k
zEVOdeQdrEK5<tsR_@h9sZz+uFY$<&F2C)>TUxQf+UyJk6e5=!yex|-Gi7)Zk<K#Hx
zJL+;TdTVv6hCA&!a(Y-A@45i=?q=8!a8|B4d`s-is<^oq&j(vN#TL<)6sf;R^PdAe
z;Fe+kV)`kvZ2GPxv4^grxk&4S`n~eK*UN})B$v9}8fq@hE3H?K@Mp{IzSpfT#7*CR
zkjwvCId&0C^Q)jx=+b=3-++B-&Ks~S%`rvgQ)OxXR2&i*H{&Et#6TIw6&w)jsZL$O
zb{mwt=N#2w@+{taqAhGS-=%>zD7CNV*^s%XJh4K@)%;dlwfW_29ar<2a!D>j1pBa>
zzo+Ms=xsIs`mpYc)w~UX4CmxbsBJK-`C|&FHMy0}hK5%4XK{23SM{e|qiv<Ddegte
zk1r@CG5G{iH=KN&6Dh1NgT)nI6zlyZIJ4coY`<mu;eXr#@R4j}1|Os5>oEw6MZs6F
z&<GdwVg~>_AStJ6&$hbCT;v+a3W0k7%qG0;OZ)0-PMdF_)GYhMU@+A6?!!<j?=AQ@
z`0DT$V3IaD8WWoCEjS@!X55el=9ZF1R^`ga>I8YkO!yO)L7|)rS&>L}dW`ZXtcHr+
z_>w<Cf}8Uv<gj)46D;{o2xB%0T^d*b^qARNHZQn53Xc%`_y>Y7cu^Vy7rbAjtbOw+
zoEybA+@o+d77AA$VIGC6VkjYx!sSrH$G(co1}TmL*gL$!qaf70nA`k?mMsU=h7&Ps
zO8_k%g(HAmpGN`HnMdJP{6(AV^lLC4g=b9HYtuJPihHbmaVKoCuOY~<O6t<(PS9!T
z!I#i5jV`_B(auecdEJj9-)!PfIpr=4>lxhcg9G)ZgyY!!EcFzr_`6`J)j3DkEPltq
zow98D;J)rSFtIVV;?M7ST$r(;I14I8Rq_(qGeU>tONc?VCFukCHaQp(o`5$)p-@l2
zd;AU9JpsG{izfh6RK`<00m^l6!vexPUzSJ^e`nOCGjWMS?yQlpMfTqkhDMY2MYbOe
zSaF3uaq(~74trze7Sf=_$_)rW{Tn|mC8Fgr65aEj>WjFS&{xE6Zw7te@Hm}^gP7nD
zC=@Dl$NL+w%N%dOB6FD1FPWP#>N5K7F!(+Guo#&;i!d~rw9A|yjR={0mbb%RnJc6r
zR^}RhT1v<qBQZwiiu0oXFS8Mndr(pI!T<MCZ|6g_eQ*B1-?uTJ!tcgu9vcD~cFD^D
zmBIM`j`EwL()q{6g`9sW*X4!Izl$zJ<2?(RL0201RR@T>)|_E6sXG;jwbranci~X_
zP8MAQ&vCRMs5P0n<HEk_TYb_fN*+Wu8BX32%q_xIxb$pU8oRghj>6at-aYu?7*vIO
z@Pk-rgzEu^doVtP_2qf1Sqbxki4`*bVVAF>ZD3a#oyxB2Y-0xEE)9ugC^O3S%Q!aU
zoA1uqk|Yb#0_z`wky3qI_d}_?@9?Ye)!{qDByDOpEN9(!s94x`i~2`Kb;eYyXgl<W
z@RLOUPUN|>miGMp7%Fz7L!LhgP0sU|L&o9xv*bH1ntSBfr}1S$S(!9s^MuPE_@x5O
zad>#N+0Ro}f3(@97Ow2%BXqWRGoPD(L};ZGp)QAXVNxHZ>s+HcH`R)ColWGqv#QdS
ztcJ{?@yySMyl!+zx+F9?>B=GFkS<HU{)89HB(6X8ffSmw7E9rA1!I$wLT{BK1k+~&
zWSjf?acT{8MZce^fqsQx`UB{?DjIGEMG&~J|M##^fhC~azYX*C|8Wc@<m<mHVAwdo
zNO2Uv{t@P}cZAIr<?9zlx&+YT>t7Az`h5ME&V2n3<1g~{)33q!`fr$RRc9u5v|DqN
zvyG{CwY{eocmMQkwbQB0!Fr-KvvDykeTFbcR1bdto#tXISNUkOI#-*3pn`33;g{U0
z;7;S4<axLCga!jcJ|V7ulq!-8(yzgQhY76kvn8Mtza&fT`-cQ`(DOrre<VRW*ph{x
zw9KdI@I4}du=&~j8zvcu$@j1tV-sSX<Pf$j&JG?LDeAGol~_nDquC!i!N2tq?07`)
zmry9wNxA;<UWT$eDR~1HCnct+{HbgVtdPOBjnxh83s9Qg^JD#lDT^4@cJjC=sg1B*
zfuo@9+%~e^L&>0U&lf@r=^`DCi+he0dC~P|<F@3e75nWc#o$T3C?PZK1B^lG`t)(T
ztl#5Sny#?1zQ{J#3U?U}LEE@wqn~^ZhIlXz!Q6qsysiTq4X^nvO&w2eu+MY#QRu=v
zcPrQ=x%*@lG*a?kZ*8@}OGMwf0V7?PJ=Y_dKWQW54=3}%{Ex$hw;A{O(~Wsf<A)mO
zcwhI5*YXcyfR$?%EHuI=Y=_rUS*x6c^KoUAnR%Nk^cTc)H}5Sn_AxFl7S82=8r%VO
zL7zaWyfg8S;j6>lfl1mFY)rShGclW$t+Vi78kM;xFI*sUSK>Q}ICoZc!j3vb_%5i}
zjSV?FBrrK=M-CT<v%`|_2sa~0`A<EWKrNWHW^;ziIe1qAiU_z^-%?g@mB}PKYxV-l
z+PA}k{|eQq%;p|+B$qo7zK4avh4SFd+3l_hEtrJGY)Q$+!;%Q&@T(Yt$<Od}Ld@SW
zJ`UKiKtDt1IA{@^`M!nrO?H^pher&T7>^BDD11B)GFHoMGz={R24yavPU?6tsj9w6
zJ_Z;EI!E&q6ey3Afux+>uh@cY#vV>iD$XZF6S0kA3BMF`*OQodqg+qIxROI{aXk^b
zp0LlD&RkDb=ooW7(XYX{o}QJN9y5*3O?~t`l|F2$Q`CdgDK*4sT(5a_rqQ0ScI)JH
z8mmwud&s9VQMq!y3lZ(Bv)k~AwC$C1D5&#)uV?C3;D@l8KrD07Gqp>W+V@YP>f@7h
zOC4yYGoO_CSyzHDll_l(NM+b1FU4vMhtw0I8Hg15sB#={y;=oN%}%_o;i+OamVfJA
ze51FE4j0y+L7`9=)&u?q>@F<cfW?J{DJmnEcVT_hsL5?Zs54xDTv#6>0F4&yE-VIx
zd)^W9iY~0zP_+t+92cONa-6eXEhN}S|ETlOcl}7(`}HkG>xZPrY}tfp3x4Sh{KVgY
zorib>79PSB2M-;n>u!!s-g;Uq@)?v49jRAs46$OZ1Tt0DP?*DPH4vbSru!B05kIkZ
zSa}0^NLJ!(XTWiazlC@>SR-YjfQSQ3?ZXqxI)^>YPpA(HLo~hI?qEjn(1adOf2NmE
z?@?L5KmZNeQCZ){FfC^4eo9Illw|}Ocq%-SS9QgC(OYkuikF19{v}?BLyqItA0<80
zt+wHe=wkU@gfNMF5zy;fp&8zK+qh&Sn%oR(dNAJl-0@w*IK-7Cy6X4&<EjST-0|Dt
z^IM^x{>-gzKYg{*sqU)Hz|v;Aipv>%FcVjK(m7wQuvELrgUH-)h&Y(X+4_FTj>=nk
zNB4?5{=+e-3eVpMvCs%#t~lKB@rQ`V_(CLe+~dNT-iO48BKWn@3dW}CSY7vW<-#X#
z`M2aHb{aUi%c`I0%}^@u!2c?IbvW=bNi!Y|ODM{L|0AO^x4DQ8T5%Sbh;wIEEz2ke
z{*R$zH#Y1nFtrWt!<+*@hl|63Z^<|8V+c9OsW%&F60_!PDsegSzf^!Ef-X+@Qr3bK
zzUsmWLT-RPOc6DhW2ib?fmwKAuGZ{AKn>jUoSt2nsZl@|ELdrb*T$I#eP{<fjLJeS
z!VeiEfxVGvY;5TZGcF?fM+qUx$;l%+1G^c?%?t8eFVy9blM{_*%rgzToG`ndQ*T>I
zoNH9)rdpAdvxz)+R#j4x)sQ*Rb)B3KdEMx+bG_8IO;U2mI3&fA?~?wpl4OdskClQH
znp77{;c*3{l#@blmGXpdfNYBszLeEpE8n1dKT`vJJK+mmS0@uUt0D;EgfA8<n5LCo
zbK6cEKaiK-y34r2Rtz>uV+dvkfdfWYY?M;gzK(;o8OPO&_Dyz}bmK!Y-4o;SE-Vy2
z9=VM-BFnHMiZ|#!6-;VbE$82$(+ww5c^{|o^YSpU#7Bzri48i$HgJQEiKd@>#My9=
zVpZ(?g?Jnov8s|oZP}osImEL;hv{sC?$`K>&W6*k!EDfNCxZm9g-%Yl=H^>Xv_1N`
zO}Dk=AxE~EX3$lBv+nv)2<B$puQQq$RbQox4qvLgXg9{JGglQ;mSE#!`VC1}QABi-
zTYS#ossFuuiH9GhOOIRNg~JZ_5)YQ8(uel-h&DE{$?Yf}X3xc@R(qm8*&HtsiQiq!
z&`gfQYK+~*Py7#IbiV(Roz}m&UmfE$XZxk=)tbdVf&Nh+z6tN}Id)FZf<pTCjC<GX
zVt)hnJqg}`WupO8)Jad-Iql`)S%>w~OO-m#&o$_Fs~gqO@$A#~LRy#~{016jgHZd%
z5F0PI0U}f=ZttE>)hgS&d*_X+JNyG+@7L{&)}Za(JN*sV8J#y^VRTG!FnY|ZP7cP7
zsX}MuzcA=B_(R#~3S{IMQo<Pb9vU@+Fy8=|WZX-&Xc0ZxLODf#fL6EA<i=NhWIpL1
z89M+UBdqE{9R6j019lGQ4OloFQyd)LQ|NOC%lA~Lj`a5p$_-YFmw}#W3loY*XrK*B
zeLN8(6vcUQ2is=uEr}iM!;jWE)j%<Rya#;W>|mfbVh7tcF4>4C>w$9yvx9wn$Z}VN
zp<1#FF1mGgAXgcMyV+-K_3dUiVAlnsnZt#l%oidzvrCngsx3Ji*?c&e2<CQh=hE%6
zrMeWRk$DpD?q1o^zA^?|;hNowg+}-ixo<n#+tj6^C$zreFrs}xxsm64M;zy1bBj-H
zPZ%`5rD+n3mAZ*_CX~u=h3|l`jx9b+(##OUiLGz(g*`w|Cdh`sr|qQxlJour208Az
zM%f~~jk@Q~s+!_ao9TBz#cp)TUoN4|ZKmgtb!-t@@`b%VFOds>t=?=ao9A5H>(d3;
zDjRz@Qda-=`hVx6mhS=jR91I0jC;(*rujqESJ>fMUKurxp<<HSjDOSI{%$3gAbX-5
zcaoU@Yc%KXl_D{JOXRz=suGhdLgvs-_0K|HH+m#761tqk<dAbnj3r;#Bb5@l@JB7p
zwu&X@T?N=iO3ZV$rLbqFQlED5PgQD8w)EBmIvVS2&Wy%ai6wF2s*29^Zq{;hhmfsh
zP?ux2!lZE73VhUs_b)KF-tWg71iAaINZ(_rgYK-QrSC|n*o`kq-!f|3cBBPUG;AHx
zXUP}%qKkws;t3eDwPN}EZLIuxs}x63wg=S8k3gWo8o1wm31#iuUGW=@A#}4Caw9*A
zvK<Q**w@NYlnuCL24{+m#j7xBUCG(lyK=zV>*g5x=@>#2O8D0L*iSwz*v~!>i*^cy
zs}b#+>@_LLJ7c;hh9|{B;ltCXlPUKFlUi0;`A?>t34)QWV@PwoiN?>%(!>(4FU}`e
z0<n!^3BRh~CsV|dI_m1U@Q}!%wwz2^1W<fY3o)IYO!*3QjGauOUxPWBawT3anC!MD
zd%ZX=Lltf=dlp5dr2H9_^mIe1jjQ!)*Tw1d#uacFhuKf{EOy>{wT#e;`bS+W{0EGc
zI`8Tn?vI%FeOWer$G(0bL&wE9?2x|)t!$Cz6V(WR@+tvW!18Y$<~7IoV0LWvuYf|K
zTm6Uo8?f&W@dhmWLztqng|gM3MHDieHDK0Jn%?tMjGA-?D{%vj+6dcsIf(!?TD0%G
zFeuy_R^3Ja9Vu?3T4f_b<i&lLOh%I5qPQUE>H99qHOV}nEKx`F+MW^Z?TL-6Y^dhD
zFP_-7A&}vmd=F3=%nrwqK7A^7Hu$KJH~LYo&kFYmPP+!?o?O&0^vPl*vCe#Ly0N37
z+<cRp1n~vs&?mRzun#A@gGV2%Pud|^YPy-mVu5#auj~xGG6qv&8owM1jR^h$MV%}_
z2rdzf08DN?$9JCiJ3S+JiA~;%#8+}{4AskBwtIuSq%PSzP%1Ngg-hfO@YUfG!6a>-
zFjScCz|W=*>s0aAMrCddtGF{BBI4Xx)fGaN`~AI8u^Ss&6i8rl&cqxp4tItn-?0IF
zA+<spk{h&!*-oZ_U9R^(E5KD*+oB`{E@WOpS^MU4_)n-#Wj{9?Ai3P-@Ix#VF1X74
z49~HU)t$l56Ni%($3{>>E5-ewM4<BkDUJfzJG|m8TcKj3R*GVdlmJ>*ik|^;eJe#w
zXDh``fB{=6(l75y(cdR_#iCwi+)%%b3@yFLC=>rxEW}_<H9eEJL*(UT0;zci{(7pU
zi+-7O)z=Hm>f=JebA^BO?Te%JV?gsC2me!yqI3=1oM<;{okiH3t#3;&y0%?yG^<my
zHT4SBD2tvC!E6K9q7Y&K?7*z!wifl}D)j5f`U=^%8}+`8)@$NJdcCc(Y>g^n+iZhK
zt0H_^Sd25iqRm3+uV#>lwXFD4iXi#6u7&YZNq6f3VVmQHf~#by^uB#<{c6LPUm$qC
z9EH))p%>_d7tryYmPpwz8oa#z3Qe8_%C~DMCsSArt-Ujk#bNfI@=FlbM4h&q3ut>?
z{q<Jb?sU<1uf+EP86T}QLvw!4?jMYJ>*U$9O9j%O;P)@Q#0!GMzwja`6zX5N+uwlQ
zzrY)?_!lrm6<Ec;aDaw22gEQd!PSt3wbI$)?MBURRiIjip2PlGL#orE{)2Sw{GJIm
zmt28Mt*-z--Je6$9XsoTenRbt@&@v7SUfME@i(AOPV3sW9W$*tn2{DeNaQ>(p&+=U
zX8p6DMjr_J<nCv22M5BMEi`J@&%A_sqh|S~0BDGdnzimYU37E?PfA41Vgwp^D(oS&
zIo=?70pI{SBhzPlCqUq_-cCCP|0pOFs^3oYH(+N(-hhR>FvX$YdJPb`#i&{zf6e9$
z6YCfScR>zPw}N}NpHMrbyn(!evxW57>2E<{;XqxV4-RNoad{ZrD(+T4kv<p<k+gfR
z{Y)64;$H0~)T`nOX^2yC_xUL)q2d^U2A&Fk<W*d8UUctgONh+4%}OShfwt_kb9;5N
z-*Q-?c2EzqAalHBa+_WbpHc6?urG&f!jff+(^178c@a9tA<{InU?y%1T}c=|^&7c;
zwjo`^E6mO#W}g74PZ>j+ol8v5>kAFZVM>3KFJg0S4N>~Ohi+GX+30|-c1M$=p?T(D
z0K0IL#m9gis6!zWfbn^#%jfz@SCc(9y_k$)t%@2?z5zwkHIUrhGhbUwxiiCdK=PJq
zySezX<aDSZ`8bp!zb^4jawgVV8W(2ljx3oqGYJOrUx5n^H%pTLgnT>*;@{v;k|jlM
zPP=Adig_g98i*kbu=`W(R;H`X$`tGlp?{|~qip@e7L@##{0b=<PJY1&5)K-j1=X1!
zhX|h@S}JZ08X_y+BbPKA-3B}aerv6=*?cENf?JR)LvrYNLUJwsqqw>XkxbTLiK8xC
z0mG2dX?e@N*tI=$RkaPT5Or&97L5(ovg#*ED>=4~j3HDwxR1a>BVt+rwzup|#YbU0
zT5Mo#+ElTH+ha3<ewH`Td-0^;UaA{1x>7^+`VyvI&w%P^ziL(GTQ9t;lFdj2DW<Ap
z5BMKu?T;J@M>?>ASywjooBm%Wk;BPpM4Ol2M8LpJl+}Nu;n@^IgvE60RA6M-&wV9Q
zVAa6d-S41*-A;(WfLR9?Q;mV`V_>?B8~Ru&u#ic0F$>*5D7c|SN#HRj84G!<6i19t
z4ycu%Wkvl`Fqewws5S)D$`39IwJK(}(pxK+?PzpkLR8s&%-I9R=Y?9vwra+K6n%?D
z&K|Oxo?Vu2yXqX>JwdbK`R#Uf&sb%T_SY_$ErDo=xIEdJpKWv}Dmy?+bm0}5)5cGS
zU6|@rZ5Ay5*+!>ZxeX#RPvbwhugTw;8LPBwaL;w}mRe(Hy$d;~TCG_~+ftqF)W#}P
z)$VkCvI7(H1VkXkYR`aLYxAw?I^<<vo&X=(?N)mdXqans=CFuf4;^7d68Hil+Ynem
zm@(U(eoM(C_5Cj3C{@aJIq)A?d_a~>-?9`od>H!}hZR4(<j0;5dFDf0uXc&2W?LZ3
zcGD+N`|wL=hEK`?we3qe+=3q?ofH^$!{312dBYp9xCJpqWnN|5V;x$zB+sn3c@LP9
zLr3BJMy<L?sOtiCDd}<aD=n#e9<+>9wmqa10=GUMAykc~?H((Jk9$^9oiPtnwTi!a
zy{hc;ys}5~${vGP4mv@{K8V!)p-`v`dBop<omY4R7GA-W{`1NiMy&=4ic4&OymBg`
zYBX)<6^2hqUK#ODg*oPVjG0~VQa(W!z-RhFwfF350wGKd&G;Lzvlef_!djT(V69bT
zE3l5|RS-|rdw;7@n=!8OEX7+1Rz152NuyaW=nhOGoaL|acG~MK_m2zEpgGG|fYB!S
zkbdjnztvAi30FBIucX8sQ)pf0q;54UBKj!))Vui+Z#Nwi{RfFJ!X)f-{s!z4#v8D3
z6Q(#M?2x?S%`wT#+e)&Kbtt}TRBiBmytuJOf~D<S3{^{~F-7aN64~rFF}}-gGv?*r
z7^RH<*pc@W0W-D*OUvtG2c4)>Y_wehOKPM~Sn7s{8^II(z33l;`r%hvjy>7mb^wAw
zmr>By=dwH*FBl5TuKxW38=?NM^LE>-{tIc))W7faF%7^@KP4q507jsJr!tUU^L*Ij
zJIJa21GLOSLl|Fm?e{`&cO4VKZBR%TCU?x-KlC?X7bf0-MJHm4rW3Pu?Mn2kuufaF
z6(#C@zt5<vcWp(D1Z%4|5sXHwc0uz45+P_G_V(E;XoWOrg0_m>TY?AqUpoF@@Y7O4
z)EJ2+MGfNf<UMgY85_!SiO#8?^d5fS+e3$RJwj{|W@i1;-+*1Zcmo#c!W4&etpHD?
zOSmXa@A+d+(rYrfTv304>tbpnShUtd^SKiNcG2>q5g}Teyj}K+Rv`_VXe~cOu3+$|
z4*a=(DoO|yBd(-S9b`DNbMmyBWe~C?{?t2ly|+^iIl7j3AWV*S_#3dx5pTdEN0`zd
zIl9fLX)nvsZo<%L)GkMUG$Q2awcaj!<*1MbO^%j5L2w=X(i!gUei}+h5hJan6dhf#
z`;(KZgL4H$S1l=e*FWa%x<l3;CO!$1wa@z-u*({6z#?my;*hmyi|`SnE`#yoXDvoS
z@U-<Eg3)NzE^dB6BE)UgsE(iBx>wu^Y0$(iz#@FCpOzA0$4HD3yW+ffP&M27Og@C$
zMV2@eayQoIJh3>U&hmD?#I{qUBkFW$KW8&3EYH`eA`XQOfegFkEr3dYkLt3smUvn>
zeVl6}UxuMzgF@%v-iG57a)$SmEsbtI3I%)h6W{;DU=(<I0XFmHNx7&pQqd;Q!Lc4r
zZU`Q7aRPBE?Xwg5&*EJKjkFDh&NxBc=i_~?7(B)CzF90Z!o|36A*r|Qu8dySghM0S
z=4ZxnFM11}QiM0hX2!3n;l<^#N^^d^Ia9?WC)+8+XQw(h4^J**+!Hvn!5%bYGrN8Y
z(6fR6@?Zee17g=fsq8qja`NxRkN}PzTVPyF(xzR*=b}fdSVd3>8-)KQ#ep1eZ!{{@
z=OI=7A%Xnm<<}8`?yTzKGAdfdJy5Y1BD$Z*@X@-Oyzemp3_EVKY@1<LzNbtd`5<`l
zU9U2kfLZ^jqy5P;lzcn_?c^cIY&%C!2kq;R(#Uk-{pDJBG5K4_TMF%T`B+7C7k}!V
z{6?8hhQPf}O0j5M`J&VCqcSx7I~4Lw#VT7z0sZ5_0KIObt_<7)smN{!&_kJy6iBO|
zbf_O+hKk2Rp@BesBvf3Ar;{fhoN18l21}n_rjHzHSUhbss>2jbi#yH&Tk;)dov!4F
zr1o?$dd#{qqtSK9`$YxffK0_t=)RD$`VV<m_e4+4Y)`#X?Q~kxjcONSk>Nw8EIe80
ztnEHZH5ojpUWO9q^|ujATW4)d(#G36s|3v2U8BMv$-kKhbZ0HC-gZI7UWjPcX8459
z+G&|S@<H(8t549}XwW}Oc_JI>b!8}d?V!+pLs_)_v-U$}IvE1DGDmZ)l`lHbA1_10
zM+OD-Ck6xbKbGla2+-;j&5>3==}`ZB87ls5P*DFzS*X3U_Ue;$wd+=Wihab9w#?d?
zqG@r*tZm76YV1rV2P=&(3Uj?lLGfIFeZj~^&h=NAXHYAnbRv^2xbZp%zCR{BJGk_&
zW9Z0gr!w7cbvm1};zQ{AAtTgy3@U$`mGgW)L4rxz{ET3(@Xl#s+CLSlb1c>|Nn;rA
zw4|O{1<qn8Sas4bHYyBa=%*8b?yRM!{Y#-@FGMu$OMG%xa1I`aJX!LcPFI5Bct}E-
zmMINVWztbBRbvIvM@rQ;u0^<q3!T|xbn}ThvYy_YZp}2BJ1gKcZ7$4B)!GOUFVolo
z_o2|g)#y~3wHm%Y0aDkj-7>^7*hEYmV&#G*{**wHIK42KC%wEP#OXGI%xXnrQiM1a
z`@ZfrDs;<;GC#bU2y|yHEl#h2ioFn#I5B*}t>_2J^pOvOS6#7f4$d036TTlP)AIWU
zh3<#SqU*Pszf`7^LGaQMTmi4;(C>H4wEXQs!TU&Ac)bSPZ_D(NqiZqXFhx@!jtR$-
z@0{M0t5lh3j}^f*WKvf=4ecoy^~h=Ha_zipWfYHJl3}-Hwz?B%l^F~RF$Zx&D!0^Y
zVC2C(1T#_#cKKTDQZ8D4L;PZ{ZQ?P`&T=U*zDi7K8am|^eQezd+N)#5G;|VF=dkK9
zN#i2Fn#_*JLfmD`aoF>W>fD4Ylh8Rto;z#lN$3Ko*b5L%LK2;vO_u}5A!3$%Pb|ki
zk`2<56@W;Y)D(-<@dX1ADN^TW$6G6-aO9K3=^Bg{0~TDZI$dY?)#2f0xT=m428$wQ
z*@1A;R=G`#)DyB?hSX0IITE1V!F=fD4<SHZ0?2B|VN$pNWhY=E+CH9!)yaOPQJGsN
z6!CdE5$DcYT72$=ioNiV_(*JW;**2MAwHITo8s6-qL@Y&1aUE2FBX@Z3jmK4m#f+7
z)l5{f<ql5)8EL>I1bYUR)-I3{;cCE_&#TQD6eL^#4dHjE{D@PrTz15t5;~Hbj|VfL
zmobFge3+23$_*y<O>Vw!ROS{2MQ*-A#JRJUmYaWoioNiV+(>M4a+8C`AvczM7xaO5
zBuAwEs0}2{q_bGUK3Fg`krH-e?j);X=YcPw+g^ZEHI%6X(Na3yT6G5JDh$`xskE99
zTZ@MW8xoOI;D`;p2r%E6ug!vKXq&Grhh(|vSyCkCB!!2J>9XPGQ7@YbDLfFWbC`da
z6fT9zSy;RIcal+^n{Y)Ak0<inSxd{|MyS{e5XqrLCntwFa2#@I$+x*LTqU_8?N5Cm
zizcnbvbcZ2@Z@CCTcrqXb$h^eJP&P!XX^q(TQ%6u{f(AGf;Ht^y5{OycL8LZ<QAqU
z`L{%z<Zv#Eo%vHX2^K0i3aA9HT+hyiwidec3;c4_hE)G3i88*!a6UhVLVDunc>%-8
zfybUi0q-Aq9#c#l<`luU{Ds&XGKn~UD}l8<aYKj2R<ox=7q#al*i$l?&YqHa3v`S<
zaYMh%r({?>un`u%sC3A)XJEW88r=Q`KHGvzrTKPiM`O0u9w%QngsdE&g5$)Km^8^h
zS>Kfzmjv|?{_NS-Q`55MQR?snE$JL|QjT#9(|UPpriQ+jr%|LcHis(jrmmB<3Ncl_
zNSPo({jgUI`~k>5Aj_r?E{OnS3M@t#vL{5N&ydZcewD02eSLKm5g~?*|D_MtS0&^T
zA;P{0g}{nY;#asYjDOePfc<(9Z@_Xr2vamGDZ4O!vPU8fPG^u9{xz6<Vye(_{Ix+>
zm<{C#G8RKh@P(wG)4&<D*)JrqA#l$KYM6u1*{aQ7HL2rGn@q-&&mv})n>O<4X4_30
zOOTBdHt9TJ^iLr~wO>{2dk(U343OYEc4}O<v4N05oxBHt8Q5i;qx{o`ymG@vhc11*
z4+kpf%FQ+429d6h3f{7*vQXdnl$+*V%&y$Tl#xQ0T!w=_oLmw-_Fx=S(C?);v(Ol9
z;T;9Nd!D#;lb%KMc4ck>VwJLkE)4C;j)mqlhB!r^E<{@=^x03CvLy6ni)W*70~>|w
zV@Dx*7M5TE!?T|4g)2p~F_elcMGY)8!u6HoN|7=un`yQIzXsZZ#>_(wc$N<1vCx67
zEI4@#{tMwq6yA55qKu<S0rUAC!TnR0<C~$B^~TWckl^rFV3IZy8`G(Flpuv@9C<K=
zWnxd1Tt;@~9~;fNmAvB5xQoblXI1BesQW~J0u_4!B!7lPFXzw5f#>jNSn?eo#61$c
zG%P=;QnRgWLUJACzqJ5f90|UFMG*>I!0w=|#a9WXr-1wN<lnOI#5n&Cs#E#Y%?(H{
z_Z<8k77CYmUl=O>C@ui}tr$wkL-5Z8g`Z*$Fj5=^uy=UHBe+60M|lW@xgY_wcnIDO
z<oX`L#dPK&SU)a21oUe#9)c-)C;(OQ<aBFp9-@6WyPck$1?(jh<_3YMXrJL(pcK0d
zY!sIF9$bI=vi<h6T7tHAM(5i#@F7gs;KEGX<x-$7@LX_Oko*dp!4q<oQg)1Oin*$=
zO%ia&w$<sDZ(S`+9*$l{fz8VG?ET&KG{$U*<<&*~qpprl0Co;jM`DGAZ}A=@OQr8!
z5}pwo7x4#rvsm_r*>my7ZLNtqm}g2@Y~BmMvnhi#IRmRP95|o&AHwpSV>7?f#r^6S
zuQ_wTtXFFmww?Y_AHGYy!{>-ivjqx;I-johH(+-@@dhl;CrnXgSBXzQVb>}lI*}n|
zSkK^$>ZM8@=cYlo+n`VlV%0&SU-0gUv|wjdLIZ8kYIjz#A#+<aLY3kZtrt+WO33`Z
z<7j=Ae+=yXdL^SZ$kF;ne*<=2=M7kR9a9{<9^;xM+dR+PF;(ci{8t8D27d%N`wU)=
zAtji1-$esw(B>QClDvCq|7@e2IzK?GTj+D+t3Ehi%@5Aq%k~3H6aKq>akPF6yaRh2
z{LhZW7YVe$ZH0VGY6Es|=M7l69a9|K{?tg#uG*U})!tK`I^@4LC^vX6ULJa)Em%N)
zPGfBl>tl-;0V&RlI}tVmFga>P7St#`+dlNPN}-wEx5w)m``#+m2mgdqb+$F|j34~o
zhzlP5V}S06?GoEaWn-Ki3A{A0?UIebi)68Lvb0xdwApYJS1J(Y%l}UD8CzR$KF{=B
zS9Y{pbFlN%=yu>hEM3XXyee|{p;TGP|H)S5{o&-&U=a`-KudZ7O~Z2$@AF;>!ZsNL
zu<)Ng2Mdkxg|%bHB>s)nZR!HEG8(eDqWu=>Ji_fTWJtIVjy$VY$IKr+GMm13<!)yE
zqvS{OHQySHm9}{RrL4OzyCA`_`+`ZD!D86h`tHl|Ay5emFD$d(@jDH2+!K+qJCjoP
z+*#GdXw>e^tDs^pz_dFf(ar77<iK_8&RFstAH-`CyfiF7=sB~kZ2oiY&U6ak#gX7)
zmgXs|Kg`m9=dR`_fj*Vn-8|zRc5w>(W7J*iT?kB4TQZNJ=yGM>xa5k$o+yW&6vjUq
z&AB_K$j#S@e0Nq=Zj$>Tb7<VYe}=qX07-5ndO5ktf#;ALOTMsON(o;0uBO>mvD|#P
z0NzNsd9JpM_RL!9!qGo%sX1-)ma#_X{AhfYSP~;1ewxnrZtn6jh>);@p*qLRg-PKO
zc7k)}%7Fm#9GF}0`pE`C?yf5`coKEcowc+KjzPs<h)D(|zBw7p!RwGgOTH7FbC-s-
zL@y020JE3bTCo%!SO9QN3cXc|yAE>!vduTt(S!}$P=7XM?c0fk`6!0uCl=<gP=Up*
zoKYIa-8G2SVq4t`L(rQi;{tCs82dY7x<khvo*yvwe3Y=;eIBL#*^QJ6i)_m_Beid`
z>!dl~7}GtmK6)J%3LmY*+{0wp{h$QxnRTKc3MRU&B6E;YtlHj5BkI<yAo#>24;1GU
zhmR2LC?@gi5`KF|tiq$t#t6@f9DK{!nEODT_|C>)Iy)QlJ?I#_Jwv|+b2jD~)tMP~
zo2BOiG4d!(Z?|V8LFLcCq|dO4)VQp9lw7+Ll}@)kR)NsCwaIE{qH^Ut9;&U*ZiCO;
zE9cN<89GxUkF1ZXw`OE*LZhzBzUcC}-xGABNN0clL55!g6EK4+ee1q<Hsk_0^|=|&
z0Bx;K)$pEF)_?Q7#l~R3nZ>JY;Ic?#G*&z<JCm@AsulS2zjW*$>&4!&S9K^93O$8z
zg1-U#UKMY^vR8#EngN~lb_MVy>uY{mpftVbPc>@NxlWDIug(IVa{<&w@GiiU2t%V$
z`yLQO!>yLp4gQ0uT7^GGyz-l4nKeASU>f<i4&HP9;Mx0e1EVcyLx0xafSql40~WTy
z6bIWJpy@RZNS=e%ifl%xl;1OIHbyjl7b<Hgn3tZP19qDjzudD8cl+tJ1Iru8qhgV(
zKle8f4@jI`<*|S*cm9Nh8G!!Xeo}o{7}Drvcn3d5yleG$UP8U^TKQ!HXwcrZ@}1=-
zgZ~?TN=m$H#RxR;RJbIs-HP+#4tHi5BnKkVeYk7)J8$Phri`BN+WiVhh}b-~fsnzM
z{0yw8fo&e!@7iTX5UyorU@5>xhxYb<!L7N%t=G!=Gc&NqO7;!zYnhv{a-X$0qny~1
z6HW&<8BUJFf8fHOSlYNXI$Mp6EG^5EfUfX9?v+i{C&vIPoCHtALXtUv=aU5`at7!k
z(CP7;s841bGYY06d6^+pFK42u8V30V?qo51O@?B2fxbf;U|wGn+;!DAa1@lX?ulLr
z2@cOPCaGNO-@BnXl~0S7IlOLE<`n_)epQW#b7xh}=%^jd1S<BzLtbHtP0lNvgT~<%
zw&dFw&LC2cq!EQc-I%Rr>e;ooxwQaj#XEcnW%ciEPIHsLBBesARk~J-qJUW{H4zHC
z(VVI6#&ZOC$9ZmHw%gc5MTYQ%0f-UYcGmMUb!=SdluHZFhw^WUBv~ByKo?ZTb~Bil
zN5tmL>j@F-_9rH(E%hWq?=~uPla0g0pMd+{M4UUTDniNakU4a7^F5H)3lE8q#3m;~
zIcOXrWXX5+0JuqVNIHnxK`70B6bt2_77SfZD7{sREt@R?wermXoG=6Zyr)yvzHQn3
z8md#}#?8M70^hRv1r{op-<2&J-@+ujWO~3E5tNW4eF#eU>}jN!1B?_$0qh@P?noDw
zn6Nheg?Jb$VJAxfEspftfn1*>9n+a3{YiiUbEMO+!8p>NIbE+!-!v&A752}Yei?3(
z!{%+dSX4SyJ-F1HR+qY7{b=W=#{8sqBx0h1(W}9mzNI?b5y2lPTg^!k;8D-u_O~CX
zHzj-?=4YunX>PsBD=&V}`&L<Y--}medfrWJjO&i)_dG6ad7!vmD@9fE5}Et@kbDU-
zh_)nsAa}~au-yf9xbdf<P^cS!!QX)0RmK~z_`fhkoidcmgi3JFyuZ;F>-`l*UGC{e
zHJ?0=eAY;?_w^+NqtU9}A?ODL*0>wtx{wTTv+Nwf0Pss6@3(mS>~#nh(x5p610K46
zpP!ZzE<r}3dnQy}f|G>4B6&yWg6!%lG$(kLFt~h0VoA}5;S1ibJH+m@jN+hekZ<}M
zu!|jUz#?{-(l4?5nNgP^0E!29Fk<&(g3)NzE_QxEBE;^nGj;s**1cj^NJFgHo#>~f
zgxE0>W5ljFFM8rLOCfnKGEE;m@lW@5ey@1q&j%8GD+jKmk`cI6=KvvtFS!VS8JH*j
zxB%N!T;SqEL|)=cxQK&<_-{g8bRin|@?jcwy@W?h>Cn>v6t@W;B5XCAwP}291Kvu<
zH*7HK48$B}LC>YvzHjwOb)DRV95b9Wf*A)^ey~CuS%Stbjol93Q5d^zImh{E@!Egr
zDiLd5MyFOkNnmLm@%$K6g$LkySZGA>8^}^$Jp7mE&1faaJ|<RZHGtlJZ6$_p_|XfQ
z5Kw<eEK`}Wpu7ET);Kp9Y)Lv&uMI{@b=S>6DeH#7-H_ne5WpmDt~ab{{W6DQb=yPg
zKWJ2^PkpM!MVATpXTF`tb7xg8gQzWmcS6NpfXJUI(aHHUbKp4qnU;K~Me~s4fHb}=
zs4SC)Y}RmX5WKnob{rvo`RPu|>faz(YR^`D5Bj8XzMKENEF^XezD*EWcMLE|ZOOl5
zP$*-+HmY+IuE^Lgh&*>zRmPH!LgvstgWp14FF+(?5}llk<-l>sm?d9-o|(wxu0QpG
zESj_y%i=c*h9@VB-YUhuKpIdhcU$8$8|b#)O<9X=0~u^m?A(cGEF|J&6<qK{T{_%6
ziXiZPfpf7?fmIN_FK|r^CA2Sa6_oH<_ee1Z7%7ed*gwL2UqIMzQTqbIV3z<|_60r)
zgY4TEz;w1Ra65F2?F-Pa!R!lct=DGf`?ni#eowmrNJ|fU0QPkj@1W~>iIuETc0`f=
zp^MQUdzshoq<^(6o8GstACG4^7_Rx{qZ^qM^k_B0k>XquzCd&|WW7!9!;bgC(eS?|
zfL6!4LWnxgs?Oz}kNo{5kl<5AhNHm-LZ)$&S3+$Ab2J=bbu`exg2JTJer#Z9iFzl;
zw$QzB)aF`ey4}E7?z8y*AcoVIPoZ_B*Ptky6szQG*z$1l6;6QAvEB)aoB>NkhzQ>=
zN_>?G^YTlY@W2y$jR21C%vB*w4IblB!+~_hhpwb|pe)(c+prn*eXcbdsYlpIeK&Tb
zl7GPxEXIC@gT)onH*4pYF(e9W=Vw@Gglj8Ds2FAN!cIZ#e->04ae#F=Sqmk6Dn_w(
zkm5jV=O>iaD^w!XwiqHIiJ8K(tZ@^53PR`)31HsZVNM0lV_Z*!o-=FbEd2EVIBOI7
zH5hB>IywwBIai&ZM+X!|@hN+D0YtVnUu$>wKy>X(dop`8qI$4@j<u?PqjoTKMwJ-S
z>qIYP0BPlm)C07hxH6cpg;9Xfqc4-C(*L!unLr_UkwKJ&jXod`C%7hzuR3nel?d2u
z7{39Tp_gpOYKWRF0{F_A#<YAba5Y3W$3OMfXT7bfjzjyXW$k84A=v_z4$O)PVPkI2
zEK!ys^Wb7WFoovV2rTd0joPjnU9%wmljnOg6QCfMWQyda*zR!h;$Xf&tZ^r1X^Jml
z{h|!({BBI&Oprf|fmE0ve}aWZxRe!}AY&-vcn`e2hdprxuOdu0s$HDUh&3R(96S?_
zC&X)V=P0g_WR*0o95B^8Vh|ul&s(8Hpy`811)4s02h_?PJ%Tl&Odlb;a^PI1&ss6P
z+Fm04GEm8kpReFAGJfdSV2qzDIDhob>bbCYs|Q$g^%dR4D(aX`z(9X<oNhbUZxqL|
zzyu-Fr6xY4!|v&uaehfV=RaUD!t8f-#{9l4mA-xH*f{`{Vc@K0Tq2IXi9e-MAXD&n
zva|6fO$Jo*Tdc-3X=WQ8)uf?6_0|t~Qf~v4wX2vk-ve3(X3}_BRoF61jBRLQeUvjo
zp%HUv-iVQoBWs!*@?;|p_i%Dj@Td!eWhnxBJntm{IzUV1>=-PCrScRkG{S|a*itzV
zCAZSr!Oaq(P|VMAoKrIe#{BXaI?0~66iNiz6WE_Xd*ZBsTDd(T1~AH=5Mm_ZEoD#K
z0#q`4VmJOGdxCxq#-4Z%J(7gswkKyAott{zL^571>+NERPFoLF#;fdB21Kx%%(_0)
zXwO%>bsn;b+HO&}CN*voTJBolrcm?AxK6<iMJYZU{mC!BDXf2#QbyDFtAIV?Eu2@%
zQv3d)JahOBBj-Rfoo)Y_pLNvUB>Nw4^kmp2Z^UYdo_nP!`-Er);!Kb|t+igQf~RJ;
zTh{PYp@rq&dKcgA?V{sA{r`eOq4!um=5N4$pq@8iIZ%%&DkCfRSh6ej#=$#q*IBOI
zf8D6b?KXF9G#XF)P#eLQSiVdc8jadd(=#+O%hmMIi$w{(H}xP@tK7~wE<iWsm}k9O
zNN|w;QD>vy_`$UI>lcjHpnDnnKUp7l12{Vy@dhkxgeeX-I#9%&+D7V|W0Pm8ENqkx
z#W8+L12(V?zRDU3X08#SK^IVWe5y13^xBc-4dhW_{%IYN3;Zp_Bf=W#0S$MAs_Xo;
z`p_^0)XVb@mV`Ax=!LX7FQML>F@CWC8nl}+zAaF)EneWKq{O`#MxcSG!X|lzSDY7*
ztJvmb{SBrk^<tr!hf!hPDP5l~L2vLvtZwN9&Q+!93KqIQ1(JQsGCqdlwvKIRvO!H=
z3i^6rz8d=}GQ(gLKAQ*kHCLapRv0(vh9eovfc0O_C%i(p&6!($Z!C4HyC7WCY-<|!
zA6m@{{2wj^rC+C9Vae;s$C1y6laB_oyKww0(NTGrchu_p>Gz$Xug0J%TtHvKLL+<$
z<8T4RM+JjzCR#pc5s+{(jr&-rf0_RX?y6yg3BKQHhB69U-TXMX%j&uN4?rpF<)0ry
zg5&ZJCTRwxVH)X|f3l^Db!oEpDSBmwv8&94!2jav&nhV7Q@HBP5Owuu2rBl%L)Q`{
zHo0pFIcOZ$5-j<KeQY7sM(WK5`oyd`n^?@H6w@ce$@gib{kZcBJ&#h>f(t$BdI}C9
zfnSKC;W3v{b+%G%?_8LxHQ{I=?d49-F3i+uw-*am8soL`3OUP$C;(V%rZ!ulBZT70
zCtIcH*XH!~ns5@Slo$s`&JSigFFS~9Jm(NYTCee7Qn<8eXI^XzjAt6v`Nxf4mAi(>
zb7xiMB^iOtq1Sk>hrC{ZNM0m5IeE!}<B%6izDxSYP?>b~u~Lvllj>qwoG2J5)Pb5T
zdaD!{dcGSV;rzY{&Vhm32A^lj;6}>@;F|I+4ZP6vI_SD8CvI*<5cq|j*J7c9DO)+>
zdhq5fVm?zc!r@~{$+*Ij2&4Nz48gR0^R|G|<>P=I>+?8hFRgGDseO|jrlszuW4b5C
z<C9n@d^`>^40<*ihB*ORHJ48(^&7#YmQ{3l3W~MfKhO|**_gQEYsLA*Z7_s4iYxr;
zfp6*w%RFjRPb{+JXy-Te*i7O%A3XxyVOx5KPQWkP(xYF4+0vUNdw}+}W*bv&IAqrE
zUA-$pT`C3JZk)UxHuh%2S{Q9Y>{Z&>qu_6$<lDqnJ&&Ys&k1vktUC5kO~o+B#$f!z
zl)vzY;pyv9St@<k(s5PD!8Nw+4$iTsoSgD0x&nNv1R{R(E(0-{z-o-myLFO77&Y0R
zoRKoBY)`GkLV|kshfeS_yaYS8;x30mx~G3aw6Sc$V5mud19smwZ@}WP#uSx5mA+={
z+x)y`*@{~*YI4sH>RhGX`7^dm;<n;$CJc>6?e2SqhI<APl89Szm)NRR*6t!NdZuj*
zw=_J{{T{l#;F%5^7vY(<4Nb-X$#GEIz&z6@hRs+al+@DH_~f5Hf%8$JfBM|5ZvV9T
zhCt=k7M_e}w<wr(BVE-!*CUm8@^Pdcyw<!6!elfQiX!>U%QUithwI^NxblY<`|h}o
z0amQKzJ!HF`1I{?Tq~>KlW=y<+|l$GoMbdPim{L3j4qtne-PXOZ3P9TtZwK>A;IB>
z#w2Y{Hs;?bH}vwS>XmsJTDYNqN5r|asxx?$8+s*B<AsOZY7(2ATP+8T!>wk?cZ8cA
zq!vg$nLs(1wPrJj%LV=20wB@jBOFwe)mvpU3GOGL<MWiYZx^7>iDD7%pqju!;i75t
zG_lirmXvHfEQ!$nD`E&HSHxvd!nd!Yj01Ko)D;mp4w^Hn*g-WL(><Xo8(1iOJaUdF
zBFj)T#SW@Ff=N|XM)FuF7U+pDa8SVrXzG>p$L&yk!Dtg#+*+JZNGHM@#T9-*77i*P
zU)A*fLi_^1u(IT6TO3pbu*X4#>C8d(5dI<u75y5FgX(e$WZJ)r`xk`zbF8K}5z~VU
z>hZo>%U{(0zc3OiGq|T;vFJos(Whjo^lkf^tH_6w;Uikb2ZhZE{4Y5Vkl+3vWKZLL
zK^aQP-(xk@dUhfIWDh?PVdLl+yd1Y|g=1z6uI;;@&@c<>J^5E}Pt=oO_L0u|kSUDh
zV^Hb9*04U7$Au8QNVvq<j~1+d!v~^p!CKMo!QsHm^DS(s1zQwnl&p}fJ{vf3I9ZAR
zL<F8$l1MM(owOd3>YF8dL=2R|a@v4}Mz~BBFEStBu5}mMO*rHMFTBy<gLk6Stv08n
zW7wBP4u9&)1#EG0Okc>HISEP>m_5Rr!9E9?GlvG$%FP)u$ijJ&X(!A2NW>!&GAM^2
zZ_cnKruS0*wLm2^Xs*LwWYEyB!5B2x=|Qmjb~nGbh(sDuJs3FlP%cL8<qe%Cj8K@u
zQ>VW~mRceqO$@vYgXaJvnHfIDSE($>0J>cw5N`lw=q0ydHHHB+hEv)kM7@}<b?_}p
zvUfJax2x31b(PyHSG1Z^&5bh?D7cv3n^$;y<1&J5{m9fzQiDndW(0+Zg)oMeM${dH
z2iYm}oqS-*7)4rz(oJtMij0hsHIn<W_2J|%g1G|`UpjG)w0=Vr4>CjV%@EH!;`?SC
zy)On*VI2K678>C?qu4k)RyB^azUGXikgSp|(vaN1HlL2^BN<Jfgc5;96Jil)G(8kh
zD>s_N;71uvLPq7#lrozB3#ep9(@*gi8BO$SFh<jr5G@r?P4|2_i5<0p0FIkIOK_Ue
zC@M~^J#O_xaB_Mulz!l=myE)R%5_b+WV3C)+MKC&#;05D+W3w(Y*UTn?79VijX_l2
zEU{CApmCk?Yv`Y`N^@aue$O~0x7*b{+s7(X)$VkCveUQ~4mUNLU3dcXjMJe42JECi
zdchcbFUb8)=2&G{tv%K1K;8U(&1>5WHFkgs#*NmvqxCGR;u?t{vtH!iQf|p^Ip`dp
zz2}dlxW6o$-oLN8w~WJL;}Q)ruCg!zpFmdpAHWEF{Ii2nSNFeTyp1db!b)sIcvsjT
zI(MBYImBiaJ5F333xz^YT%GA}z<%P2H()t&g(>RlM>%n|wV%3zBbndQSw*cF$I31>
zsB$}>)r}m_=`G$$@Kw_-xe;;ScHizN);=P<fjk~?@hDTjhHf@cy2;<LayldsC2!m1
zv0FYS;{xMPU0|N???fbeN2us&lb6wK>Tfn4J5S34Lhg<JE<_@CfHt=qXg%O>DjqGP
zwekopbH`nH*iW<%pKJ|Ju0s34O{P?htO^vuU4#cWj{;gi!)KG#VK&n#H{A?nxx}QS
ze$plBpZxu`cjD`eu%Lh`-}g6Q2b4EpnR+nAG4-qfW0G|^uOKN+@A>kl={5B{T~Hgr
zO!-^F&}h^Pw*w9EafHU|INIA~Z>$dghyV>*td8YpoGw@of9k+L!B0hrI30|*l0tQ2
z*vca(W(OJNM2B<V_1<6V?Y+a++X96`ZN2OL4cG;aH(+5gOmPTYuMvuxM%9KeC|WVl
z6e$s*D9It~w%P9R(`!eTH;`9JwhP2}`df%cBr-x#9u4<Qd9R;V9~y?F+O?jaB_p)n
z`@DpDwO%0&n$|0fQ1lr;B_%W;BhbK8VH2-8adfTSZnfRMl$^>tI9EU@JxhwN_Ws4&
zb%)yfCKL))dq4I!U}s0(fJN<LibL%wuX$Re8of@&gtzWoy{?}19HSuE)K~@W=lsKV
zq4NV0A#^8t`|K6ELK-xoTeYP++mZWu{4bsNp6sWkgxE0>ON!lLHV<V^*4FS`Lc-+V
zdf%Sm?VCfcE+>Yl2ifnF{s!!F#T&556{hq{t`>~C_O@KzOfVX)+U3d*NQ7Ly+S_NZ
zTouxw$<<2qn+xV+f9RZdpP!NvQpE_2k*eanc&RaSz$YWPd_>>2eyLH3>|#;rxZz`{
z^pAQwukQQ@ny!(C+J|hcm!J2=-9Z}y8FtBPKxJS@4vzF~Fo_$3d|+rRc`aY!!yqkJ
zVwJ!?44v0GPsT1j_bRq$B%Ysvds2<;jl(H8?mAPsrGfFh;Fufw;2j4Zd#*<cM)D}~
z#c=YyVD=DO|4V3Rhz999yoWGI`ThQWU%dNu44h)y{})(jL@*W@K*>Umo8lwJT|s;_
z%6B<tv@Ot?Y|C?A?srmrEh+>NwcsIB?ll0`T$pb)*|e|6%PQP1dhB`n9BRx!iW*Sw
zseKFZ(C(Rt_*jQRbzo(0NS9Ye4K;^J+H7rTNBtTf-!I{}gRFZrV@8E;(m^o9Rlbcx
zpgXIoVxz9|jYGv=i0CQ~!$<3C^1jCaFl@(o*){{Tr<ds?9|SMH>*p1I6H~MPQEDRE
zwZ5(lC09qFotzJu18+ek&w{+A&`!O3L33p~83Ok@fSa9R5Lhc;bfBMKhKA=sq1>`e
z5nh$8qkw+lV1WMPGMx+odZ;PYr9fK!q(gmw87l4@6x44m3w83ugEI}X-OwN(D$_@f
zG_1Kc8r5Nnro|mMjxG6)aL-(FSW-_Wu!YQ8GrQArqMpvPJ*Hr^aBARz_70$|{-Bp*
z*?w4M6!wT{My78SJcNV~1@TE4PC3~oWOet9D}D8o1cG$#_YJV!)0S5kiplvA>Y#OU
z#w2Z6y^}|_I|iX%ai>ftd)fJVWp1*SiTSrgoI7i24YmTP@xntBv&1IH@i}N59B;|@
zI45UFz*2V};CHjmVt)UZ0vIFteUGs*RT<q33)pR)ZX3?tfp>B{34n~yIbX#SeBD}`
zV!l>qXIr<3cj0m2Td8&`)gk;f#^S%?&(Ti3b<5;*tGS~wQ-fPWopb1volSUh+hJUS
za^EGqBt}mO=0`7|2r+shROhg9F)3V(Rw9;SmSTVCgkND)=avpdkS-(g+*wNt(p6Bg
z7a$TOhEBMJyQ54W`4IS(6fmg(mttq>*zPLRZf8)~?k<b1-=6)$GMx+oSJ}7Nkg`8?
zc;8s2<<|`g-h0Zz>ou+Zx=bHAx)#$4Q#9q_m}o5dt{sR5mLr-Drhb^<%)S&)aHkjW
zNaO@}V{RL=GKv!$&1($^mIR(_eo(wacQ$GeyBw^%TdH{H72b-FQ{K>Aqcexc(QBBo
zGT)f5%{KV$FeA8<Wrvf`WR?^;3N)8}$6yk-p7*M1F_(RV(6pL_n540zSKAgUgkKod
zxd~V1vY!%p?yRNfvR^^PUVvyWlj!7(!W=jbS+(Tb+!wBrT#@#tK9EI|)?!)w$AaOB
zl*J49Hl-qgTV|^}=?M)qD(66)D!0^Y;DT@C$N4s1`GC9T-31WEcBR?kcQSMzsNC)3
zGA93)7?NZ?;R2oC-CXBo93feopgM<@h)I2vtSv@$Zo(DGx{%0oXDuyR7emEffJm|=
zIyuS8f#Z-YOTN>hxkYk78ebM9#-yQGVoolAJtr~VDn;D?p@2mn537bd8G)Dfeo9&U
zcHc6MVpASg?PXY~VB<xJc({M&e1SLNnNMB&mJPV}8OHMUG31eJ=}!a3lB15@=rih(
zLDb$K(><~6^&Tt~j=r*<HEabiFl_7F&jk}zRvqzXixtvmXoTGQ5CoG3{ZqyHL{Je#
zFKW>Jvd-_vip|of`>|phTn=Xbek|J+@We>N?HP7EcEyG8i*Co#ufg1oy%t272Vj7y
zy>AgkE<q<W)Qit>wa58=*v>d^@K0jWWYHB_NmCE^WRGzjV^Aum^9fl<u62+!Uu$>w
z$eT>c7pc|AkU0{DM>Q|pOf61yV&JsL$x{1X2;Ts>jBq0BRqhcpf&Nhk?G)L4+qFsm
zrQ8g<<YcVI2qtn0@f9ChEtrVP;d(5QO`cdHmQs3Op5pC`dZ5V809h|Gjg%Y;l@9D&
zPk=z60>-dv``iN%A<Rj~Tn^{MQg{~W=zMfFm7QfAk-~hEEt2c7?cwB_V9sFk-BO18
zstoS@siMAFwe=W8g<Vy{LL*$vilc}eqeT%>#ovsy7LZf&L>iD8SY}U52gyX*1tolE
z5pa#e?P3HX&_tRFsFj;YV&tPtBq5!0T=FJTK-{%I2P&D7bRYgABZ+<u#z@-Uu7S@4
zOc%0RCg-a2^Dx2m&sw601~7A#vzDyH^<XxgY*n?6R?6E?AApgIx1ZiCOQrAI*CKPo
z;AR+7hr8j0MV%v6>KL*|KO>QeH?1;MlTTwchH0gowce1f2Ac^tRQ1-s?rq&=4B6UM
zjG>31(t#O6F>EfZqNUApWFEbn4^*Lfbb@9cHJUTE-RKP_6<C221g#k~vW3wfm|HSU
z@>8T^IQdC1-w0Fbf4~_0C>w(T+Dz*<hbmY!6}TsGH5MA-TA<iwg4ejG@i}*R{Etqc
zR6Cv4bOT;^hv|`626pKL(@0lgTp`IaX<RvAuE)n9Kt|PLp+uljg-8V&RVxB&<wliY
zjVPl^$g~`|QbyHgppqF?Psd+mRMD@&7**GHs=I2F-PYtxqjOXLg0uDJc~WWW!GwB}
z)f7-GhljlB8T;(9NEzc)jdiwOEhBWT{!z*YSpm<5p>tbReh149vTXW}ea*Hqqn_!w
zkiC+HK3lJX%TUWAvg8xhrxw@nq5^CAw+{1ygvw@YIqq=Y4244PM!(44fc*|9Z@_Yg
z6H`>SP{M!Fp)K0P$?qmu4s^ZNsLAd2R5uemA-kxJ;EU0B6NW~k_6wX0jm(@h&n^qE
z9LDXLvsJ4c>=$|QZek`T$t;3_%xBz9l(JmUW6DAf=<M{7o<U7cUjf%T*0pOpy4Cj1
zT6ZyJ?F0k+!7v2G^+X#88Pv&jP}{&Pce@)?(+J#P=L1BB@3T0@g@*5G*TBS-zkmp4
z3|>m?%-5zHI~s5qY_>HGhEA&~ZQ%HVk_(bYkh<aIyPQZd{Tqy~aHKGYmzt)gvG{g2
z7I_1>-&YZT6@#g;gMW^NMg;$W+O}LpRCdJA;L}F-44~i+G=Gsba}34U#yGMjryFsI
zModSNQ)rfd%+qys?q(BpOZJ=4C+l^>^-!JT5Dg}26NjPDv=hi_HkZJS1w0t6lYN3w
znVW1}k$hz>iNvu)oI9&J%|u-#JP9iH!b3-BBsRGtG&yJ-M`$ehjt$@r30)eJ8+3=+
zPNt5{nUCp?;bdI_v^Wafg^cnLxZ3$I%Gx*A|BX>h!<Vt!u~4}9`oaM5i4*|7IffEi
zPBy~<Mv9{V_6~2tmy<%#iuuG}h(GlvW=aWQemR*;0J*8>7z3uW#pIviFIr5}ufZ%P
zukO^k%sb!d-%|3To(?f&6!ox>JlnpI%sNZ%xXwgnw$bTUZX?euoT+|V_F{&*njBJT
zV#l`BPg3L19P<#2o2vPB4eVb@zEhUn_ul8qtt2Iw@Gt^!di~zJ-}~JC=sy{@;!q3B
z=DO0EM_pd7W)+FmrT9}v{?ih@h{fe6pit=I@@xJE?2Aj@fMs!sDJrKZi_85LzNAi%
z+EzrE$uJduXw<25pSqu*&i|fe=1OWLcscZM3{FdLF-7aG5|imRF|f;SGy1c7i(bm;
zj~#M95ir_@F^1>=EPFGL^S7-mDnhZOMk28^rXKs6oiUk_RUuHU!*R|2Q5qrxNK0N^
zvu6q^`3R0*AJ**W_l#=KYxZ-11fRE>qb1htHV`tXleYsf16#8nT`-Z!s6uRbXqET?
zm$bqa`|;P*y0pGx+Ld-9%m6}il^&K^YUE@mj`MI*3m$H<GT-MOM)l5og!mNiBp^Qc
zb@{C^h>CUjEm&xT3vu!O)P<ZQMrj^`6RxPa=+arUc8dr?1=q-G4Z7_jwl$eK#j~?{
zOTX+QCT_k=7k^5wAq(ox;0~(G&>NwYb(Q`KNN}vuF-e<~jEO;CrL(D!lg|Fo3BS*%
z&aGpWb^1L-o;#~Lw?wVe-wYLd0ity}L&xYSURM%R@=E$c@8}20bd-;SA7Yvz1;my)
z`R~fK{OJgYllMaA&^SMzgS?>-gOQPQh2;3p;R><jJ2^rS<=~|;r9gR`?Pjx{%Qf=S
z0;m<&2&$yOm3x=6_RTf2_99*E-NJ|Da@WWzEEKLm!(1ar#85)6kquD7XS*l>BgIhw
zdxuxJM#Nkf<r)zti3HH%8X>{+xJEFYxkfI8jxpB={TiTagsxBTQ?3z4Q4g+>Cps-k
z-dXk!JFQmW6A{EHJ`w&&svMfppW|h7zfa_PS$1joL<A=0-nt4an_HE=^<1Ln{18<#
zm{;>Zb%;9>rU>Up3krogKko21U|)&z1}yFXOwmj)^${@{c*Zam91Hc=7<IYzxoS-L
zoE~ut^}7g0qgDGtodM!jwCY0rCR??Rg?c6>NrGtfVWIwT&#3miQ2#$+2#AHc4TKEp
z<Qk~$zhR-y#T6!IydlJghn9`kafAyO>Svx$v8oo}#V*<xg=IU{%3@hzR5u>ZqcYu^
zgIKGzX1603?&S(g?UH;KsT@we!-*C1zQOJaUt&-3jo&4)kQcg@z3uzWY($QQZB*gN
zhDi)`Z*r3IDSh5%z!^iSpvPoK3kL{KZ|-QdA<W9e5UUqn{6tkUI#hxG)LT;L(C6{-
z@r`4YHrJY|&6*#zCwa5Pp^bcLy-B5K#7mD@%@yRzM*Y`p)PET>>d6>xJ&z>+iG_~3
zYz=VDPvIx9_c;os49wA_2;eIX2wm{ypmV@x1MNV)4S|yRIfLb}i%A#`!GDgduLu$b
z1D4eQ%Yjhd3X5_!;=I0e7^X~1Mc;bin}P8Z<k$xba+r|$<dYLv|Bs95KPm&k6RV)}
z73#cKe<WwGC7c;fnGUxsJChSJt84(#-9Mm#V^{-gDQkv$@;v;`3@vrJ&b|*P7efBv
zfmb`e7U*J)`Fq1V&g90QRqr@T+mA`w{K)c-3r#1H!!5il;QTBEvT3u!H#gPxjP0t<
zF2IrW`Dz1VCxVKr)T+~U%dAtGTY&vkiZjJDAdj|KuXZc7-MH7v6lSAso2mA0qnS|8
z;GhmCQ)S0?9TXOL?iCmCt{6&%1EYh5r2T>FCm$s~<ACd5wQRrrxORj?*WCMyKlrr;
z2#MLPHkvr+RV%<F#1_@c&c?1<7G7*f+9MTswzbmeLWE6z)d5Zd5?4`B+AJ_9#Ng~K
zOxGv&`GeH3{mtN+c*2<zmC>hPef5=BpL)hdctO0j8_qg*p?`Rj13;p~jx^spG<ro*
z#LOhHC}K<y6aPz>XSPWy)`MJYi9aQK(+d0*!5pLdGyfU%iPfk65~$AMQ^zD#Lz<hd
zhN~HI5!0@16ZTC;b$;c>&%V8$$a7~^mw{0}^?RXWFF@o|m*}W72n|CH9EZa<moL-I
z$=;JeF)n+vNy)a!M{(qblMlx*fI8!@hr$9!P<HFqWirD|&`jB-Tly%TU~##sBP&al
zcCXo`+Ff5{V0^wT7zY9vpM}CjuH&_Ul7gGCZ@q>HfIgi3en92?Oe9W3fqv<E%Gx)_
z|F57rRX4dcgyQ)BITi|@H^s3>W<na57DOT(I=v)<5(0P~lqecKap*J_VDIn>$G@;}
zf_Ng~XCj4*Ljq`V{Qnh@>pK&P>CEwe7GS^}|MY7xj{j%lX+LcO?%&Z!dQ+!##DW}Q
zJ!}I!&%F)M>U4QHpjMkATTRM8S=^s|2b?j4)Vkc82?twx#stWcB4-GiQLpq0l7DOA
zGFf)ti`!#6bfPh(ICUv}ROw~vAhg;&4HcXDvki*A*RAev9H<j6tPb<DKJGi@*hTDj
zOhKX0{f@4`0sDRjZ@{wOfhp?Lqa5~ps{OpQiVB7d5FBxpDpL%s{5DBXb?QjJ+@Rb&
zX{u(mXLqG1+Ja9{zL>_^AlAMq!$!?L3I6}`u06z#tBfbx+|Ay7+`O7pNn&qoVpmOe
z1J+l%HK--E*<`J)7!l(z_ujcXGr6zMBgy_zF@GpYJt1J{A3+MD#X=E<DnxvsP!Rn~
z#Rr0Djc5@9`j4+_!Qc1IoVjOa@132=-7Ts9aX;>y_xa9uzVDphd8vyspBR*^0)ES|
zw0p9zU+lBQ#C2Gdd4A-^7<p0VYxy`J7i9)9q0egj1XA0uMVU9{Gjj1J%CMDqZRP_J
zqcL;Hewy*9+(b$JwVF`T42cZgP+2@;+%N54Q|b2FzlsVehh!;fSHx1T$=r7L(@Cv%
zO0OAo=jDKrK)5vX^L~SD{2t4jMHnjqwm(y({ZUt6dyi#!p=Ug_3a`bIL#?3-pEqIl
zBhe{ItOf!#BRNY*ADf2MImxt5jWDCMb1Y~)#M*o^X}X3>nF@{k4BQxq9lZjNA=nXl
zC5&XsuqCmhLj^449+5M2vg&(sSDhw|5&E<Xk+NoLs+lZ=KD`bJXR?^lr<lL1(5F@G
z9fCd$2zMx-$i>_fIU_)crE}{WhXJcSJQaSKC1|)9Qd>k*Vd|4Pv4%f!&~?KaK2%6_
zqD_WN6e+(7$+yX{R-`1%U=1;{Bv@fEmADXtGn-dp4N}=l!<HQ>!WyK>ju|)rYj`V)
zn}s!ye~2{*`p4%l`QOH14IgE5r`(yjeo({d!Ly25zN@6u<r)ELSQ$PDQ!B12^IMp`
zDoG8;8Md#kRtPh!_J}nZo4{uv460#D>Yi+r;frxx@%7ils+PjaRUpI3^=qay#<1Q=
zj|?$<CvLa`5W{su$_p|4I6H&E5JQx~0EmHnR3TL$hGT=3f!dgf5obaKsEecqVp!uC
zCCOyxdNEb*WaqktGpnN%EjPaK8*b=SSqI|_VUrEFVG=W-)0y8Gl&mt5lVJ&8=xY}H
zdE((Z;0xu&qzt9%rxZjT#j0S>$oN7DMaUX_L>!R#!XPH}S#5s-jM*@J;ZQEq7Q+i+
zBQd=2G_@BtkgW+X%s&>L(WJhb*g}|%E)<Rz_ep!6WB|_x<rW1AF1!}a8@I+=qN<`b
zHXd7eUlG1aY~eUX+8=fEwXub>s%FP_t;90UFioEgEu>AtdLRpDa<f96_Rb>KKxE-D
zcnm=n$SYwRQwA-GEF4tXH;i3!og!c0xO?$<vXv^%a5byo3Kmyycu-X%7s3@fNH~+h
zj4Q<4U4<*GV(t)JVL-TpLvaOF-eTs7eBq(J(s}hw!Z1|fku}(>OnRv|=A85{aL{!_
z6~2PxR5>0l4OH9+RroSR%C9`~p$gZFl!Q@*Z!#;gOB}&ARN_Jm&TL+ZDo8b72vv}l
zI%ePiRN)een}sTne~2pFpnr@i@V`t{A-hfy=yCduQXuRa{iQKrGU9Bg3rh7Cwq6E?
zI-a(l!|j*$U*gjJH7*_hOP9`^Ud_2#b3yDNP~iya%p-hnfZ-sUdoXLja540(^5{i+
z>gK)heDhfz7)_dcv5%hj(wm2IYG5pD>?g+EuJ6>1z&uQYj?JP{_Z<hDEVameNlZ%@
ze%^LTOkmDW_iDQ+N~2r%J*(x;H683;H9CzzjDLi;HV01y(L(yRB~e~BI)<ZrT_?Z?
zif-T)&vp+VQ(-n5(msdJ$>`H}TKJmrx^=Cl*UynJvMZrn&PpJ5HoIL9uYVef=i+8D
z<6@U+$8T#F>C8v~mkO@_vwC=JzTKu1JV<hH=z^6IcF`{2z6FgN(jf1dC<3)CJ4{1s
zb{$;lg@-p<!Qz;hH1$^eSrR+22^+lPH%Vonk|;Hdn!k+nD)eqJc!dy-p|{~u_8h%#
zP^E&)qGEM=zNg9C9s*JJz2=d39dWJYK<rC;YT?VpCbs=zSqFTkqGGG3*w*#EWGW?2
zB@p{lKB*+^yHBB)Rl;=pWstG=B|TD+#dfNL3r3k>Q44hn#7s-?Ec^Ph0ggBDJ!W(Q
zvCA>)U8kWnj2`3z*;vfjacp;PqMG1{)xaW+(X=iC6B8BP$5q^YCoyJ0sAd{|yQjs1
z2gb4k-h(xqj^3iC+r}>7ZpWqO?>qHe!*6u8i)|9A?bu7)#RDp8OqP<mr=7Q4D-_Xf
zbQic@Yf(j_Qf`$U!aOXdQ5hFqfHxu|(U~ZiM(?J$0s813`iD$#zKk|2qlGE82AX`z
z(J#cG5YZjfs~|a@We8%+YFl1#a?|hsRuYw-(bK>doEqrVLs=vjh8wASh^py%J@?rB
z{Dlh_=6Wlhi5p<M&hmW2I6se&?tCD2Qw%N&VrZVxMnidMm<hNaIdt?saJJ$!>#1zW
zrJv0{nT>~MvfVk$@S2>B>9t$PqU`B4^rD7m28$D7KV-74#oaS5zUKBwLavDI?g}<=
zU(`%%*=*rQ_XD@O9f<ohUeiWLd)!CAcEPA!{2hL3EnIOMv37sm#O8Kv2Y15$1}-xT
z5&N9qLlzY%CC~D}|4<KHf%M=lfKC%KAQi(-QWdUWONQHSv};BKeRTzSnFcN|z9M$l
zTV4H}X0&yyrRj}^W3XnpEbcHm=L6UVF%hZ=^ht;pcBoqrcuxy&KW1Urfs7z79yBFH
zp<y)L;0Y+Pglk7{qt<XnYR&j#oVrDW-M5ls_}~5)S(U$oxS~wX-b#-nv&WKa9(W>{
zWq;V01+y&1qpO%>m0ZG@nLwz!5zst<KMOpgS1p++;d%2eB$kFfH7E+4KfHFEp{)Q@
zX|{=4^2FafYc}nFV<*48iLCIqiF}{P$G3p!L|!2>RswmN$d`y59|w7m$cse&NaWI1
zkk1ggRHlDKemVv6OCl>XAfF_1c^Al4BEP*8<PSvd+XM1$B2V50a*fDOUJvpMB9HF{
zIZtHz4In#+yi^6bNn{Zt4*L-z&mIK%Dv|4lLB305-yFyRBL6rF@*g4(y$$3Pk*jY9
z`5ciG?*LgO@)D7oL@vJ*<SLPSj)BY)dEtJL9}zJYKx`u84}eS&p%(!8nMj+Szp?3w
z9KKGQ?;Yn$y7)FTJ_T&kNnzf4!h3WWBw{qp7c;6hU{Ri_Tj3cF(mSCGDSa6(>@%uM
z7!GO`+M`|TwqgatLGMgC#-YoJ6w5MKj<hq8KJ2&S(STuhI<3fOlbD1_s&{=dIDwd|
z<9I51Ir=k(C0pMgxj%&t{ORCPC{-L}fssL%c3}-E!&!90io4=M2TSMv2uXIw{+Wd1
z52E9DEXp9f0t%+nt<qoxCcUaxYp}HE;L|bguloJ-F+Ro`bV4RRsyuQ!@kEhl+1E%9
z<UOUyQxt(1nd8q=JhIwCY7E>w^WI079$tEg3<K&%Rz;3c?dk+lgFbqa%CXme4}I3`
z&*DpN+Kd!ipOc1id<d4`wP1&<toEy2yro82(0xoiZeV`TO@0_dweaB>-Uoug3rs!U
zmGO*=UbSY_bsQVV$*X&DunL<+ObicWelKrWZZ|&lc{RUeyF6F8U7pR`E}KQvE?XX6
zI`P4EYLt=1GTLS{aym&i{;)6`U&zbGv51ZKGl(H28<shmWu+y18zejIXzT+!H?fwW
z-=&D2dQMKFYD4{#Jh)Mq2fxe9gFB=smH2EQO<}^hC)ZIjrJ{Cl9GR3oTYT%)JEz4r
z2oyWP#P<=X8;SeZ3&=x;FQZZINem^Da6)3#HO-0$qjZ`tgoCdKz=WhM&_S&4vF=lq
zakd^DxvOkUmn)x^l^eJutSpZaJVEE8#u1~CMM-oy#hB2g3W}_SXUVgf_<vzc4i;{b
z19_W78WZ~miWVHLNp4fQK3<rK3wfEimMKZeb^nx^yfWg|G9@1?%!4y|c_2-R{ZA64
z*p5)u|M%?(9pL4&r?+fJqWfgzfnF@}DT8`L?2J(~IalF1(^TxtSjUvrski(Fz^m>u
SVP2CB0{S9Mj1u%~bN>aLmV2}S

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.labelers.base_model.doctree b/docs/0.10.5/doctrees/dataprofiler.labelers.base_model.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..ee90bb5c4a26c6138f5be34d142df9f2a94d2cab
GIT binary patch
literal 153576
zcmdtL37lL<buX-KB+XcoE!z^<!`N+X?3R$m7)-#zHr}zZEr^Zb1);QiX6~r_x~F^G
zi=;7jAjywl!%bK`?3nd?fk4d83kd-pTS9<@e1Q)LA;|-h5R&k+J+j~=ymL<Nb*t*u
z?P)>#^Y7=;?R#te*V*dSsj3%FylQIQ`gQnUc5-jI(QF@|tuHLJI}1r~HQTz-nI9}A
z?f&Zht9yQa^`6ygHrcHo>vaa*`D8U)2Px(o&DKIUX|En$&30h&ezVn^<@vYtlKFnK
z)0WvA6OGM{Er(aDjmd1H-|V*%?Nc^&RlS!~Zic#BtC$KBZF*L69BVhey=ax%0)?HH
zZC<WJ?fuop&TO(Ko7>o!ZRV{!m~Cn`+sW#|!CXC?s`vZd=G>qUy~EyYY%cV$<y+=k
z^<EEN!t+GCzQmrkE)15{kGcB%9o=LR(+sjL{rVC7wAwhiG2PhKcvNF!V<!9Q3vcTs
z-QI;aKj*oRzvKxQE_XX=@4|(8zYb4}%~sOA5L(!~khRSCFx#rnC6J&uI|mrlmJoy4
zZV&o(){PqmbB%S`M6<n+9M|AtNH)%fel*Sju+D}59|Qki0RQj7J^?J<CiSG6ZCb83
zyQ^6h3LdnQr&RPtx$0icE?`Ob7p81%KG<Ka4;qhc?AM_9`9dfblX`#9O=@%9dV9WM
zpmCu<<3bIM<&^`79`vbwq|#X|?gBu!9-y1dCV@ukN4oXph6Z1@@9IvwUvIX1mHHf%
zTA%M%I2BYDJKYL30joj)W*I&1E}2OY>eT?vm5fRbHqJs?^bQ;%`BWgLF+os_DIht^
zWPo5|Zx2k;+uQ>bfzh+8uN?F{w+`lRNscrTaFh%;C;fV*O1M{=?ZPqLvzk4*h#+S@
z)vP)Rm5m1Q*Cvp7^BR2!LA4IV8hoksn!xZ#uv(hz3Qt|oqaKQf0~P4#z6w%t??9zL
zSZ*czDky{C*Ftl?zlZ3m3e}%XmDJnqPM?6$YuU{35i}@%D(cz{gVc(nu59x7QtLo(
zxsC#S>vA^%fps)lMWRcgltnJdUiTAcU;i*7`v79w7-FETP!0<P)tJc6DWnjAWJF36
z<QMosu4X3ziR=eNsXf_tY#t39{Z4e*+_<apd_?>ng?Qs`5)06;N$Qu~sYiGyO?1Wk
z-R!_CLLJzO9bm2BijD9${AI3&pGpl!S-X_<lWq%`TpyMTB6&ix1mindo?g~Ay)2o5
zAV)^6+310OCw>%Y$=@bA@AadTt#7Z^^)bZpdk|pwH6q5-sqa|z@}NE6ALMv={Q*%o
zJejrr&rq$)`C32DYu%l#uUJL>nqE}nJwje*8$k@Q`hjnjllB6L<l1qtW;9T_J+Yf5
zHk<gzdbxhp1=eA*xX@Vwt-6|RSY81m1YY!4mO<7`5HGA!l778=B<ZiRnm|3T9AL)A
zYF4NLP-v|jU}YV|G58vw@#UO8{Vm^EC0?y1nDQM^;M-wP-zm}Crps?mZ3^27`YJ}3
z|1#nGQ2;)7OCN#;d_p$BPdw>%Fx~^De<6nhQV*8ypq_{Hf;8%xAjQRc_;t}JNiO`W
z(c|>oaI<tfRil~4cNM`jzGsjMuSF-8#`hhxke&@SN0I};Fbp}Iq$%(`HPA;%4eXbR
z&2?dHoCJ|xMcs;{iD!i?aMFaRAWs(b#X}jJ(1`I72K#9CJq<UlJYBF#ipgS;@Uui$
z2<m9cC{FlRU^#ABaW${yIb6q?8%#w(dB8LmRd8o6g?aO;VKQW!<3(iSdyUQ6*2O`q
zMS8GtKg!94#tc?|<9cXJ9fy<j7BiyeVJ4){@`Z(8ZCoMPJ)6FY8L>?E9=N?eH$Qvj
zRac_{e>>-b-PsnNNU0_Dsxh6u*&6+ZlqT8f-g03Ax24qtgQDKjv{m{pEDN0kyR(zD
zwy2sxKuxFbv1&940OrM{1evY^#j>9%76W+zFa32aW;%T*{F9R{I?Zk-{Wl+_$27T@
z{w5TxM4!}^CqZ$^@#R)?zS&>Bj}jcKciZr&>CE)Cm|1DX#{GuiG{9jBb0!;W^Bzf*
zNF^kmu_rJ~PQQdBLsXr<5g!?0Yh-&J%;mc@<4nkN&>PIrASXRJsh<v|k@743I+j13
zewA0#n2DXqk3ZT@=$?3W7hE(+r4G|}4k4SgSD1jR)Y}X29_GaDN;^5myeAUWA#*FZ
zzsunM%d&8%e}Os9x^W|nmDaDJoEMEl+0&M~o$8)SwQy4DnV?l*GSuiSfal`UVT+iB
zCYas}*)i}FJutRYb=Gd0uHP>7h;XYU;zc&&0S<Flg@fefGWkXVg9(0mmJ~w*e{us8
z0&ecCHs08Hz>x03>W3L^IwA8uJV1S$1Z4vUs&H}xrij+f^by!&93W+oq(1`oVKzzn
zN_b4~hd%~n>1*Ik#7qs$ko(iuVcO}y5R>Z(j1%4#68;<bKn&*6H$Z;TO+MvN!o7M6
zlRotd&M`0Oab5$V)a$fhC8E==bh-;kR|=)QMuu;{@O6PKlCIJVu{qP}en}pYf<IkP
z@KTrd$}X8Eh~-j9Ul09-x&#6e7h{Z=#YhwE%}l)5#v-4Dr`JHW*%px3Gzm|y#h>Kc
z(SC1fci7s(eW+AxWa@L#Im5ev9=Bly=uJZVjz)@JIkXfN?eL4z!3h_onx#6c+EXMV
z_xkup6j2pcO<rDZ6=}qrRK1WCPLgw;Q|K^~vnKOqKT!;oMBFM6Vck~F9P5Mf<5(Yd
zXX=Fs)LpW(PC4M7R33#)p{aw=L*RW%yOC*8m@DMdJF#7sF#j2NH)3I4DI!KG(OH8?
z{5=obMz*;_qU+Pl^Kap{dZk`D+U$ZSwN(*AiK~9~b_HggQlQ5smm`?I6<Y%H3*I0%
zwOdk|W*Ubu2cK!k-e?o#15CH{D*Z+xo4l_AwsXDJ>Kv;Kdi5h<Ov7>`vy>|f$$SS4
z>W)%RYbiqY@V%^u4-VTyGMr@(m1SVBFyq9St1B_QpspNLSfsAf8=$uIGx+D}_~*0u
z=SKN-6Fj+86C046VzkDNH?cuJ59R~OWvMa;0C!QF#tyaZkFYV+wlB-J(UaXa2nFEN
z!lCu$6VZoqGX?;ZTNvG2s2F9zrUn$@3w$XwV5&b!mQbbT@!C>-c^Q@x4peZlr*b!~
zY3{4YB^zs%^A2IiWnu}FJ8;BLNyDU&{tlofW2A7RErchmV5Wa9b7e0*;p)5$<fP<(
zPC^i|_Q=tRNNEE1kc7acpsJ0RG+t`ZxPT9qBQ^NaA7U}oYBl?sloTM$3GI#9iph<k
z;S0~i)F5iDP|AH@8S3NCNo4_?>Ces6Dx+Y#kyiBCdTaLk>|nneZu4LoGQ}?W><?Gq
zcJK2F9PWMmqO+N{@N<&J)*Kq?vE`Go-56d43%w==S6gNJ=REq7VPN@(Rie8+-K#%O
zWjH#ziC>IvYRhYPi-BE#x7Cs7TDh!_xUmj50*2WEA}yqtAhyDF>wag=mmC6-Dv1Tr
zQv4yhwUTNr6QTvp+DEXlQH*$sttfKrH>FaDA<|!&c)cu)m%9TmWsTB^!MjkOJ`k?J
zO$@vO2Swr+gCdpKDZQ@tL8~l_PPGw<Ww=OMc`xB-RTqM~46PKW#VL?WS*V=pcR-De
zY6`TO{8{Nq*lD(=#`P0Ta{iL*U8mbhpXBUDEeghwSo323^yp=@Z(D<{<Vkk2tH|_0
z&54$NA9FMR>1MvtX!6nDTg97$TTMTLE<JKS6|b26Eg}^NcFe?zS^8NlRg+`szeCnC
zYhvjapoH|#AXoZDe8NFWe;-Q~-NYgL8hFgd%q}F_!7<g{u#U+V%|cJw1f$1hp??lp
zP=0_yQ7+L_aV?9CmR#(r>ysS$^mHtEIz1KtfkMSJ#vFWWZbfmb<A|mcn%y_FoBd|J
z)x0aIAOo^UbLmR(eO3^i%OE<ZEJSGqbFdXDXUkTe(Qd6&V1Xaze7LB_o|NvZK#V&?
zl6JbuLZy*(li8^Q^pOp;HVeZb@(Q1np|=EG5v(wz3Y??COQH^NQ*<hG5WmhO!B4OS
z3g3$uz84OQ?*!1VhVNu{(p;-Ee@E@kL8q@ri00N2Di8p1H0kyM-ewzcLD&c-fu(?{
zIHBszHLN#R4cnV7(3_`1=8*VA7tCd>9?@}d!7y?|pZ#Puwb)Er3pKLQRg5e{fOcWf
zcP+3&ed1Z|SjwqqiU`l1fJJ{L0f2(0)44LePj6>kIgJ0z2+fM~BH53*&caHrv6}c>
z(3qx*Cd{77{{0md>ECM6;DXzt+ga{5ad}(IfpPzmWoD;t9st8&Yz)LRR@#H58si)$
zF)(O*2aijsL3m}SeMD<mrkkmp$MjbwO3#l*DZ`ME-f}YETx`y--s{qNNE0gz$N~HV
z=<UunRI1j*20!U?UfB?wJJw~Vh~6bj%Z+-k+0*-{S*S1tbj)7vw<-uKlJpg<!M{Qc
z_9xX11ZILbLS$%Z%M2e(Uj+rH_rV_@WEe-9O1#$ZDS~TvHc|QZ3-7lAaH#|X*4^1N
zMooQ^c1B+`$3X9avZUQ62`pC>3>p&TGNggRk+Tb|ob(V&`rjyN`aJkY_{_LyO6%IY
zYzue03t1$8OPELy{Q;I5Yu5-t^aaeM3!?N+t!mCF%J$lHumc;-IJdJOvJn~o2pXzP
zOTfaKPQM8`inIU+7+YKl;NbA4&&IYYr7DcVp?%x17JTQR3Cr`fyOM547%maPHPY=!
zyJu(zA4Jq#5$}J6)mBH%rXyS$53-*DU-;RwNxq`NvZ^+e>vWf=1<U~Re3kS=M7(Pv
zM8sj2>Q0$Ad+Qka#eLwB-&rjfY?|wI*rw1bs<Q*O+&xeBj;~@kTx?W?3Ftm6Tb$+z
zx!9-@-Ni;TQY}1FIuB6cV6#K)D%@wdu%QMpJr|p8AvAGaz15S_XKUrM3VUI8_}b_W
z7genUN4gCP9g&BH&DtqwsF1;MIuC(E4-aytN&XIwzSBYEjom{1$=6v$0icv54XA<8
z)>$WU;{l0DGct%RwKkv~Y&o-uPqfrZPxf*qlZb0w(Y%`M=AooLn&~hxTZ!8EsU)&d
zp;yR{Lm0HT&BWdT{qqQKPSQI{bWREkE5bC<-k8$i7dd?j{pS~lx^#Gf%r*XiDs^nF
z;c=_YdTYY-O4(8Ox@su4RDqPf0*kSvw=tdC%r*yGQ;@d=Yu7z<?!i&@Dv6P<K%t`-
z-Co)hB6|!X;=Sy{oU3<pwB4dw+58vrh*Hhz#=HdRUjtu4vs+2p^WfQAs2r`g2HLKJ
zA#zG`On)1jH=X`gG)*A#xL@M=n1glkH)I$6e6Hypfd~{LDOgdGrh8ylITPA0)${*C
zrA+nw5k8UXp(l^(;SF9(0P2n11e|+ts)nHzN=-UMk4n!u92NW3(U{rg&bAk+CBtfS
zmN2|}`a4dr<<!$(%Ut7TDLUaHfR&npd7(3zoHe?>N;yHZ#)l*T<<*t~Fa04FQ(kRN
zZiZ}8ju%~Rx$0HICjB<FW%O#RkamUodRQ<jTaxBu?^I*@l5~~pF-~p^Y~utj7tIg4
zc)}82Hj>L_@fjpFrjJ2dm`=})CJCXn{(@+adQ{<=jaAPl!nsSZ-<1yTIo3#UKU#t+
z7j!V3A4O;T+=OdmJ%}l;!x|6xt2IqLWNy{3C$N59G;F^x;#T!b(YeFpDrSOz$p;qQ
zlLU@0s5PjKuZI>hZF~bhkv66$pEhO#u@-H7DL0RbH`GZBt)i*li%PisSWRAi%RNPb
zIo2t%3G9q4w%}E53^lo$i>3};5dN&pmA!JD+;#$6OI>Xi@0orQKP9V>Lb_A-sk}l`
zc%;i%jIEGpp_5PMU>@a&O?*MHcHcb8Rj*>y^k<;Z(JQ1p{Rs^;p0q#$`VhyrQ01Hk
zDhCdzJDRBVcBx&Q-y{{KZ@@aH)7M20C08V4%0q<Ps}*j~fn^tS(Q9PuVDBjdnOFyV
zH)fjQ40j`Vti$VIuq>`enh3X({aOwuuA`e7rqfT9X(z3c{Wj!?TqVQ)gxu~xEn*q+
zoe`z-RWdPvVtS&)LqLxUZjtZ~rN_Sqtz>%qZ}5rqI6ZmvI9GkMCXsnP(8hs&uqXZs
z6$~-#H2R4p^th_ctIM-jkCSrL8%zo+U}K!FYz#fy@U!GiTYy<hPq@~}Tw@NUni@}8
zc)`M;{z{4$vN=wZ{VQ*CC~VSGu^7wd*a$IWLdH!Tzz8zSb9+v(ZlA^Bs#S@U^oPLc
zqqjKR)F`Zu@ntg7p#KSwAmuwP4=qUS4C%8yZie|u^COT#l2v*c4(oLKl<3jrMo9V}
z*iPnyeKOBnq`3I{pXecI3rUHJCSrZCw?L&#Til9Iq%G*lqb+!Y*D~w77S8*t(YZTO
zrvONq$hXSMGgK}vp*Ccdey#DUanc%EdyACD<r1J-nTwsGOGjVQv9l2QcsZSmaY!aU
z3|lm1jFLW$h4VDw{A-4?TqZPMO1dX;x)e?H`ee2#b7f<VywWj~5?&$UwKpatcgxO|
z*Dwm0^!Zo}jlbIOcrp!-8d}yCwUNsCz1mRwiKbKmq96Jzvm>tzcEq!R@mC-dxa6Yt
zQN1NxfqNenufVa73cu(EkJfK>?rA<Ah`yOU{~uOK{&g`u5H%1EM0G?*1ATxnv?_J)
zrDAB9qTgjm;J&+;xQf+wgb5DCy;M#@6lX1W>9idq40tyN+j<2|9`sEVoNJ=~tx==S
zDv5^uPYEBLbPow8S%1hf<^E5&t!~og739(I?w#JS)g)<)CbYqeBt)&IHQ)lLEi%8}
z`ok73yTT0);^JUwM9g4mO|JMi>s~PWMu14m51SR*OA7IlaNQ9jmTiRHc;@-YtfG<w
zRwxwGKS6Zeysk2*^N?!v6O7ZOF`_INabV2&8U-}HSmZ=mG`%?aX-Qum0HZB4<=#s%
znAVYc;4q(PA`(-H1lz=>63^qABc~FgH!ziuCWjh*Z7ShBVT{EQ9)&8|MB*4e(L{ot
zd=m-Q+_g+3u0exLZP_U~n~?K}OG?foRE^%r1ox>0Ts_yCw6Dsn(j#rsVoMf>U_+5G
z)*+G?ZFVx}X`c<sU_G#WhY5+0(e`UeZ6vQ=9wfDJD0wFHX0IQ&36ugAuFgS1Q&#l3
z5hye8lw}>A$FR0lMPe}6-Y>Qd&m4$%NHAT~29LG<cE}WKZGSjifm=263LL5#zZj}n
z%`#xaSg)^>F7>|Z(x8rYxi44+ui56wpBWO2#sA$LrhYT<&%$kWW6CSY+Y^qN$lrx4
zh%hJ24RHCZ7D{5_H~oGTZfXz<2Yn$*27N`Demf`4To&;R(}-x(@7!?R5o48J51l4U
zUfhgP((+@ZWvcJ6=x`v<d465CQ(k6*ah!NUoxbyP{bfR^!ILS=t_mWNt?%S6GfA(&
zEYoRN-oQ{yW}BOBy2wrKVitSq*qp>=l|LukAh<AQu|8<^YZRJmHZD7@H&|Zobo;g5
zQoY-!J><PrJclm5O>eUWx;ENkUX63`H^Tsj3^S1y=io}crf))KKsA<r6AV4ETF3X>
z(p)SrO<bFCj|Fki9S4!~Nmfbp%%lhPM|5AzOk4;koYNNrDx;s7Jkn>KiRlR+4Vnww
zhXdnVYS82Ap3K)8>U1_9#?vVarLx%VEU69Wl_Slg5V}^UpcT0kF?<1%H`50g!M-7y
z3i$M5%*{I*iP!Q@0gvRvCaT486Z+W&+`FN_k|2`R{Jt^>is*?4G1H8o9^iv;^u+bb
zdaP7$5*8JmV<5sLG!lXcM{vurFdCDb7zI_+yR={uek=jALq%^@eU>=?Y;<q+t@W>l
zT<QcKl$ZQ8f=|K+kmRn@2=J4k^ewTLzEbbRCPYOjA@;)@rf*oqS=N9iqp^AX?18UQ
z^ZZG5$yn;_fp0>=L4fG&0fvs*QE)%<LCQHI|9O}$@(~Dvt6b);o50ddQ|3td@zS7O
z51B&ZUxzmRd*~S*b79?l;yTu0GZZ`|w0?v3QNwgm5_j(Ch#YNuj*f7on=Q%kk_)o3
zIl=6(>sJcb5xztbS069n7^DDxE&<BG$cU?VQPN_;Ef0F&EFynP6i8&>RBAN&2{bog
zrg)KkD*9zi-7Xl{^+`4`bA5%OI9#U9G!)N;93c+Vh64LmYAAw)AdZL-YPeMJo3NrJ
z)L`kFwN;ro2>2jTTreNxi=ku82T4yJA0&6v4ITQ{6aL5Eu)fDKp>L`-uitUJ;<fY!
z7ez5VR$1ICTXpZ=JK&P5BXB(8mF*SsdTJpHYGr;(Wf8olzmhygLg1}Ih6;N-ACP&+
z9BJk0+-_jV;88wJ$Jc6lC9sj4UvAjDS73^dCYB$Oc(@#v>CI4(ed(l_<$nmWf(58N
zhMU<?i^{}Lv%=pAR_Jka@TxTDk^fxRuY@abJCAq;4nGQhF^pN&-;F@hth1I4239eB
zGkg9wR!M$iOShmx@d#Ld^sN1_p!%FramOPtG)&p8yA_0g1AQUya}}%E<RUHlLKO3*
z??o^iz7Q!LTz+QyXo7m$N#^jB2X)Qvx|5*^Ibib$2zQ7J1O;{a8USYW?vT@6!dbdP
z*kI5E{Pj34K39kqbvb)0EQ{jldfM!@Nk>$!z$QK10KohoOe9GEN7-z0u+vL$pr_L(
zMUOWaNwi1)bwp{@xr=$`&}gA;#p5#t7GTgwa#bT0x2Sp$s$>SuGw_KPRq4rN(4?%n
zYgtr%YJCBYh{O$&!`d`u;xc7rUX!MHDfMbaow7J~Ck4em?yL0R67pIdj0jjs<x!9N
zLaG!R`a<fYEJ`RO?Tw@>GAJ5Bq6!-n3o`F`1w3fIw^mNiC)y}PmQbr|7iUkYeEgeI
zg%k8m0L_1yAiqEY<+3z9ivRhL32clg#sACU3fzjHSKv_m_{FFA<pt~x#gE_2p1<8H
zsl1L_)AHY&2}7$=x8i4Lm@>|%_>WPs8hxDU=h7U#Y~g7I#mL_#a=#Ns&fSSmv4%y_
z%vZt{xM_x0;Gh}&;-Q%-CAv5oQMB_nR*BXyYGy{P(TMaJZ!|J29bNq^t6@5i`h)t`
zZ!-b1y5q(ht0GtPdi$V2{w0s3Yx(fBaNQA5uGv&%?X~zTNW~818TpxWyudQ<<AU7|
z&hWy74oe@;*5{cFbMC)$4Zv05mdx36&EiE{)<6qSZ6L+u11Bm>UKOXsiHcI{=~1Nf
z5lmF-!OrVK*2l<eroO|_gpldW(Gn9C7YGWzv<AS8exjm9lqw4bO?kXjmW>6O@^vnL
zfC%%K%IZtDl`9t(a21vg)90tbW4IuDqunN3oKWhf^u;)s)9H(%$COV-#@9q7P=A5<
z=f|@8`uZ~9iPhKFU?xcjK+UezSG+1<&}xBe7gt=gXcsW{DcW)}o5U}*W<OcVeby$q
zPi9n81(iuFws<c(do`Efg&aVk>{uF{2<t?}G`zW38(|{<W;7)FGT93umvf2s!|=hg
zM2nvcL&Z{|=E`NkD&iklg;`2nlgBu@<_ol6pvL)=>Qb=O0_`6{!9jRvfmULZTj9$=
z<5}Tzq}vluAX1iOB{G4?v1?TV*|)CufdZg$Ox}khIGsL7Nz?bkKf-&=SVrTCd2YE^
zBv(k$+Nkr>KQIY9C=t1YuA|1QQt?8DB?!=J?x!qMAdP#Fpk=3Z#yZFuf><CFGYE+!
zP35<2HwoKMU_lxYQ4SlSI1dZqr;)MHqpZUG&DL1x3~HP|sm?;_cVJLs7vj%?f`jl7
z3rTEpER=)B!$OX9x10cKk`$7ih|+;??0yt8<+_5Q%Q0oJ$n@Qef8R;`>n8{-l`r9=
zBDI%ibt4p$^1B;WDe1_T@aIaAI$y%CVWuLze}xcQ!BA51aXRglX$dXNFGma;2N+vi
z3gGYv^HXVrg;r`|Uf9YKK*z#7iHE?#Jbq_>><6G@%#Te^9zXUP7v`Ua>%k-n#6jc3
z`m!%Au{S7J=^A|62bE7dSFG#4WwFx&gHP~zA09n&*uP@FGgqqcr8&Mx2}nBfe+211
z?C$=6%$q$hPP>I1XjpFVJq9_MJF`sC8IWp;y<|>(^N@7{Ik#P`x8~^lzC^f$pZxbA
zQ>>r-Pr?<reQ>-2hdT<t7<Q0a6*v=TS#HAi`aoS55dWi9g<r$zCQo4HyyRx0@8{6<
zhjMP(VZvdx)r~H%z?y_%7y)`~P5L-BT!A**iUfn|i1rBQvGB)UJ|^7MAQlcv!>SER
z(_H+1m-CZG-w5Ee{7|`eYTOX6yZl&{+^LZtEI;8sFWlDPVCB(p5N;Z-pgb6BB-{=A
z<l#8@XmZ&-;l`FlBY%w8OT!fmfd<xbLfH6C;iiVLu#8&wQU}v5R#FWB-HZQO62+EK
zb)-cvzOq%)&!FfSffxT%VJNhQ_=NA8z4#x8CY12vyFgG-rw;-!qxa%Z2aI1Cb;QPm
z9MA9NlD*KIKXWS&J0fF_xs=o$pTYtzNF_Nv{c9Y~>GZFnM-`^U7*sU=wlBf@9p0}W
zi$DLNG9U_n{=Z?S8P1-?XVD%vZ1_s`wsy1AK7>~0KH8Co^QHafDS#NrFDV4h!FOJq
zJQa0iu(kWjvf^WG`%_LfEf~KX)7@|10+5^z{%ug4$2*Ci3|q-k(WZlcf`An4!+%LO
zp-JOotOET_N7oT|@;{my=ufH($x=@K3!va2MC74l_!wPHe*mk@e5i8Uur42_k9-h<
z__Fy1uhuogIXFzsH<my*JphSg{lCwIv_qkr1#POuVLBNFuRKWwrc5q7{Maxx_aReA
z(dxuo3f`4r;Z4uNSXR%WT`wD^j~rc?Y}t1t;}=7KczpPdbhna}7PqaBNB~P|l%0^`
z!3wZ@qO2s}(%NJJg=qeERCJN<;2%)Zk@?#{ZVjYg8e?<0zx|__DPAv!LVuLM{Yzz9
zLjLwI#siEkE(LIKc*RCIVL_Ghw+m}l0_gC!lQ<6e+wnW|xBojnQQSB^ofv=n6^*2|
zT++o(r;t|UAzT-haI|A>Yw)dWhdc0g!{NAE5V*S0#XR+vi%#>U6f9)soO+5W_Wax;
zW~F$W?+%$Od-*td#Tm}z2v>XUHnF$-oE7?EVsMV^jmrZaULR0Mq!ld2a>8$@?qOEu
z+4sPyXXk+H@Lc#`n>GtnasKWq%Q`wm4!X-B=h!ZES+Hw*Lv-z~dy>~Yf4>Bp5Hc&Q
zC_EPkN_3@@P}=C{?>p4|o#+Fny?8nEI1)F_bWh^rTIfJH_j(XL6+99NE>un`^;RFw
zM4E#T6t#~@ZdQs)D_JL9z&1>$bG#`+W%wlsqKeLhu|>6}P|cslGBN|@SQ)^CfzroJ
zGhD_LI}YLulzYpxgbb7yL5>hJYZf53IMP75Gon-;5Fmy~P@57Bwq(Vo@QrPPTO@#a
z1BK1T0|v?mppDEx`5-=#fkICw#z48co8S`fv7~vV(I0xV{*z1CC`N^AFjme{veYON
ztSz6_GFhL4b-y~CLLpo-+8Zfw$X@v(fUi%}{L)5fR<u_>Cv%P0CEo@>{K!vbxNNsR
zGYiIgYr^v<vZLiq83j`M4J>9Yri`nsHJUR28tmGS#gzGHXhKN(S*DB&1SPN1PeW;=
zH)XWj%T4kTHqBVwUT!v#p9TF{KGKE8&Dpo0kR*3E7nFwcMH)7R=_C`SXYC}T=27@h
z)HPJXs2P7)&)|J>u8xe%y1A$fa>BZq#Y{6??2O8~xvES{$hvtd<OuP%X5C<mBdwdq
zMwH5}8!<$stQ)~D62Kv>n-;W@SvO1gMAi*GofzxpvgK}qKJ1bn80mX?d<naTSG5L<
z=D#b8MzkC2KTu)Iam)4gLcKRT-{~f^i(S|XFnbMry$+xD!8A*K>?Ls0VGoXkz<>5t
z-~zbim09@Q?bcTg@2kw!`}2)juX$HO*Ra7U0FBPE8m!bUHW!jMT={&UGS}&}_Eq50
z^tnzCQsGass^ofrel3z_Lvcrt_C`uPvZ{Uw20c#P=~mS*$Xwa|<KzXBBW^i@w#X06
zl9InoFkU6QRo;eDkff_vjAcW;WPIp`EN%U`gIh-5HeQDcklciI2pgaMFtLAk5PQ#|
z3GaYRvB99f8Lq$`+rukxgy`WHopH3&p>7(bbl^x@i>|Qx=Ult~lGQ5zB+2LXvkqY3
zwM0i-eIYj@{y4mEha2l25ne$ak7-@tTGH4GdHaWO#hQ~g5~X0>!($g*W8QeGNr2W+
zmqhOj9X&%`S=j9iS6d#tK+Puzx%0wZD2d#5Lz`P@Jw9Ajd9<wBhDQjl!t$-JUmI?8
z2p=`cC8wM_3X%y`E2##Bur%;2gSRtzqP8fUY#B>AO*5quh#u;%Osz8??y9@}HOLgJ
zb?yvT;Kq_y;Ltkw#iMo9b-sDoNZ-t!zt}3t5+B-dM9M&_Bbpw6kubC>4Z%Gmx$JhE
z(mAR*#ZD(^C;!33@m*mY-Cg=s>b-uDjQ^C!kAy35QxLDfK|%P%LqVHxR>At6Cn5IH
z?E4>BWm&^no`zT@(M0rlg3+oqg!qs|wB49@<!EOM|13yG{x;G2$1qy%c7LC`7)L2T
z3RmE!6kdUYQt->DC}r1aW?9ylop4Io3H9gvJ0Zl&P)c!HT;q355G}{JoXoq{`01lb
zQJ0S#RjMSK{|>lN)yC5Din|a{*roS?svo^qd}q#uBf|2>)pbG3{4d~BltNE<^_k3}
zM!s;IWLJ(g`wjXvKj?OocE7UJSx8#aB_5wa5?h)ep-rdr(ex&K<74U_B8YG2y>WWQ
zM|}g!@iNc}=lB3K&2WE`$2p$<I_y^$#{qy#4;)<8@VO?}5S3KnNFcf+3l~o44IEOk
z-0gt3u}6Cgh-zSK_VS>weJAH_rPF3g&^-62(8qIsGzfZ3_F>57+!XLK_~6+TfS(NA
zWf?R^q<l6Vz(OeXU>eCO<Wqg8Rk>f;;j#kXK=9wGGybHy6<%rs!MmW~Ae^*;Kw_B-
zkIq5q36FN9JF9?(By3qxN)SGF`ATy*;y-9nCo6yy(dXv@-A75od~-leEGt#mf=FBf
zlmEG-i#!CU^enfM9&ii^UrH=^%f&7Fq?FIZ^;Z%bBB^gd`*eEt(@Ais#bG~xO5Ft~
z;)Y7q@>t*}y(ZffF*!#~I$;NQe(UGIScUnUt#QIXQ{((ebxue>28m-gd;A-u4Z=g5
zAhF4DLJk@aCpglbA4w;2)U((ez!`RZ#hmet0*Fg;#x?fjxl-i|RQoH(8VPJl>sAKf
zRID7UxBETNGNeUdLt8~#<8tvxe)7#ZCI3MpNBlB-x=F=;Y6=pB;FrBnoJZ5(r+9wR
zrr5B5hvwU6!>_iA^EX`Mm@BAx{-i^5%(YN(5Fp|hiB67Va^QG4#*uDMJmE+Lvl5wr
zZ|qu&`R0NGpiA=2Roro)vCDO>`jHA)VhahFXG_g?A{mIxGZ3+GGJL&1=-~#>c86Uj
zXKmM%{s+!1^0x$vc;xxfq!uIr!6U~A8>ddePb1`!ms`d8318!pU#8~ylMc-zuY`hw
z01=N!baFhB1INQ7j&zSJO)ZiFvhsO>W9&8*b4<Sg_8i9qixkJd{ZfSf;-{1094azg
zr%Opk77z8+Qe?`vqkS1O6-@cGGb+!YZ`5I<cXBjoX==4sf!LFrZUxqiO|Hl!HU|*L
zcgysb4D`Q<APzo^h|7qF@g#o5ExVwR1%?>!Bnl)hCw7@a%r8oirulGgz)bPO$#(RT
z*tRCDFnF%*zGp@^YFPQkt1XsryP+vL7pvwB1XO6yPb*F*j&4NsN)38gc<@j=;rA&O
zYA5`0axn9uc5E&Z*hug(kS{FM?q=v13$>%C6BBCp^j4?7P{Yf0YYWZZ9VH{~tUZsH
zpo<9HLyOH8oFq=$o|A5GcCOw_YRtc={H$iZYY4x4maoj}LbJPE?>Fdb7ZwK>-8?qW
zXsDf&yW}1O>N5*9l=~4pUrpJt2;-?6IDXk6*0ynP!ko-CUKdu|<7Wla?XbTy(P_Un
z5gN$8mJh8{IHi3o#tN<5rV|5m*Qs!U{73!J!Yw>2%e6a`zs<(KG}w4gY}$(<Q*4yL
z>%tYdSMGQPj+Hz7qLZT*n?@&zc@&J}B(wKgCHV<k*Dv}mQY)UU+(~BdCJe1g-OF|i
z4Zi{qjE6xbzvwDfQ&l1@F59_?&s?_K8!s9eo#j<~nIcTm{Q9T|s7zC$7Ye@;2e`P8
z!-csT+4L}!Hu{A^ZL7T{;LvixJ;ARZr%-3BjeG-5jgv$1vf)i&9Dr}30~>;wmmUoT
zI9jTA2U|eo+iKLZVRQybpy`jWHPh*T@<s`R%i?E^@tBSHut55U3hDfg;Zd(1p1Ru<
z=s^U<+~Z`-G{aS<XZ28<N?yx#p}Ot>UL^DVPIm?NGQg5DIOMuXWu-G9H!eD<kOpb7
zLs1a3uFQ2osa1tPN@!h4DKx>lAi9(KWaM9A9Gt6z=R$EFpDlhe^rIz_tu+ojnU*)*
zp&~D}3JZ@7U+ueu8s|@{YtvGzeV0SQL3qd;C9%nQqjJ!AyityH7Y{`*k_NKj@`HS_
z+oDv3Z)LDj06)&)x#I!3C~^+EjgpSce{>9r)2Y-?E!bS{aOh*Ec&6WmEDSgM5CaP$
zH(#m&GT#I6_m*iPP5xg*5QTfffybVV7<j|G!#Ub`C;LhQ=~v5iPYl4@F;n~iOv)*)
z&o<Ojn9ciWbn|p+lKwPgi(E0yw7QFh%5OlyF%F;)6{i!-hhUbXfgtOPqppPN7WPOu
z6F*5pSXOdu9S$IZHsAol@5}-8zwwFoTGG>raR6P_gKLUv{mwA%AGzW3N%6CrS-rkB
zxPA6Xo-j(xJALGtNJDOZ-13N62`grV=(gD?b7ij`rx}5XzU8#pW`1QZ8}p?pU3SY}
zmUq}FgwkDD%#X=o^QsN&*000=@WibN65;!Tz3_N$s*owxb8{eEf!lM#D{y#j@QbeV
zhxgn((<;fYb9L=7GSAITgrQZb+jGOv@C#wVd+512&sD58ffQ-cbK{~y({rPpm1NBT
zaJj{CsM^Y!L0$8qYJ)fgge%1bf`U5zFVI7ycctuh3vd~DJ<ej2LW9@waV~VDoPR6c
z1gN`FFm}W1M2Sr<MREETY{_)`rf9+wE|jsy_zeo<6YoIzU>W>`DgQpqG{aR`u><Am
z@(vVK%9;bE-&uqE<a5zo)J^%<LN2HK<TLQW<37PphLW;`XDRo|pIU`kDnpa)ILqbk
zlW$Pt{7H3{R?2<y=TLAE9&(>ZY;x|C95f#Hi6h<P3*9GqYLRjx8zwi%6}ufuHTYa7
zpDci0bDbdnM9$tGq@*Krojmf9CWZPbMRT3(!c6h(t{D$GV?mt+y{Ak|$VGBK<S3X%
zi|H}8xD>#_;T6+kA(%@|kA=pR06M0}{{(}a1*XUNolTE#g^sc5F+ByR$KgKl+52B^
z5CoC_5Fc?yVrHzS@7x5<o1hqg)kHs4F1-P=&}Y`V+hyzM$!=X^n?SBHYi`VG_|5{(
zw!l6uJR4{gcJDL}WtXD?^{j5a*~SxFZ^r#wl`4zKfb9iEGx9yF*%OM=%;sw_XY9}m
z?G&`e?PgD^jYPc2uE-bVy7sYhH(gwU2P5GDNf6!&#~R^&Lv~KGK84@Rx+?sU;-{2$
zG__lSQP7*{=W#J9z{&eS=E_#bWAbheGd~LQ=Onu46po~TDI%qb;Jp$H_Z0snjh7mH
zAaK0Lz%hL>7Gt>^PR-MVXr}9v*{)X?wCjzH2b}GCnXg@MlW6WUuGL{zV|odb8Dk9<
zOme0_H&3e$JR0K8oL>+2+vBWwCuE9sR{U1D0=Kh*SKx3~;1`_(HD|?1cvBGvmP2D1
zi8#Z?MAr7BKeWp9bG2^c1>6?-3osks&$ceF9AJX}AkLS*288oPhNGjK_{HdE)Mbp{
zwQ^Y<abq2B1PrqSM904He-GEK+0?Nh=Jth$Kr|I=kZ!G{TFZp6L9fsM!^TE2;wiQc
z$+6#*N<rU%-1Jwbz<Jae<_KG3<#t;=5;Day-rjHpZerjSI4Bao7!;|*PU#5ZE3C4t
zzH1{gVp_SB@UyB5L0yJciqoQpP#FVCiK(3FGLYSfoMVm6>FdBZoxT<+nS~SaD#_o}
z<qTWsZ#sZ_73?M^y$;-7XdGaAvLA2fECNA}ybL9I)hhs{V-bXsIoT72tu}oSIxm!P
zdKcEfRv^kmo0&X&x7AFOkgDlNphh<J2VuY8Vb$Zz@7Ey_bosc86m`nq+)Wl2I`gaP
zXR*{t`n3es`D*%0kTu%^FK8Emm_E4HSC7@Z?bZ9zFF*<D9gvH8U63Hs-^WtRK*5yO
z%-EW+MAS$~_AE=ER$(XLQi$}mkdBA1weS(99Uxb)5ag2Wzq-@z1K6;uMI08-W3(4x
z4;-8x-)uMAM_33$PsXd2%q58{eJi$MI(;*5ikQop^yTQscn^jX+1)p^oBd|J1qaVo
zP$*PLQb-7WpA}Z`V_3bXELQ1*nB%M)Hv-VkmaROa-CE&+iMW@E;#0JlW2FwEXg!Ec
zgV+@eOPifKKnkDTh*?{zFE0a4fPG(|gQ+wBX&e#myC73o3qQdYD11N8@cr#!@trX6
zO)m!zhhQt1L!$^*Y=-;AU_WXf5QSZ)9db(>@Cjs!6RHk;iFM%jhwZ=?=)mV8bCE;r
zGU%DsSCA@<!obawp7_;;@0RJFSY7xF%rqmc0O(<QXJ~j9ltEj8NC<G7;03TsG`3na
zVnF!a&T_X|@9P)+R7g@bc&P8})Xf8!oxymcSjE$*Yc$YYcv`!Ob+egkZT*!TYjVo`
zM>G<;m)%r{sF+vSc>Ws=J=pH~b1LwYVFO!JBXbc#GmG6D>2{uJ78exvVi{rwWC~HH
zZYh*nhByrh4gy3|R*6n-86pRcXBong?ir&dDM=vN$cqM!w|k(>ci#fW4~VA1<I6)3
zkwptEnDh{%)NfJJku6}{REivV?B@-bDPE$)Enplj(-K<1crN4!aRu@>2N+vi3gF=I
ziUkZ|Q3%s*XgB;-i_Q3p3QRw)x-Bv;fX>W43l*F0cxfidPTg*5a@`~UBQ)mnC05B+
zuHl^VK;;_vdnMjK0JjR%Tltsjup_#Y0DO5E4^z2}{@GVamOJwen26$m6xJupNs7Aa
z5QNb0!?cI(#Ktu+>|O(?<GOmQ2UjQ<$8N&wXLSb&?e^>s;HafTSn|HgB7`uDHt@UA
z`BYbJ@zkzA;3`aeBLx&`u=}IwU3jQ)S>a_e*SN$4=7&Fb%hX1qGBy#XXA_CH$v(N4
z2SRRmg-7~UEXIle{LKF!D3Mc{@=ES<_KGJ{F1jg|OqkUAD{~M&5*!4NZ}mfvDb_Xl
zJK+l4u1Q{j!!?Ot46{u2ds2!V)@{pR11nEUVWRL&t5m=C)=jR!s(@CLv565aQEhcV
z`s;9o;Om5{Rkhn;$?)+jD<L}2x&1yWR$FB{%^{C-M6^{T5+tNvn9%(w44u3E53x3B
z3myLRskcv?BW?lYCLmscgMjeM=n3fDa3ghJpXS{gF#(+ojmQ~Bp#d0@fM$ZaJ4Z_T
zse@vIr%F&>Vp5OSg@JVU<|^uV+#%M_3RmDJCtiVrobZc>oTilR!ZFE9B*&SCsa2vy
z@8wA;e{g<C3N11$9bLsQMprfVy<3Qh^><qX`tw#Ut2=JI!;NsSQ#!(_?+@1<0cBJ;
zbupY4qXnthfjlF>^vX%)Udz^BCLzDfg8Y5KZl^axF?GwqoL&JhL0N<e9eha7*4q%8
z;So1~D%_GeyCvCay}|Nwr`xafmg?R9or6vvVwUd18QpDq11&tYfedQCGrY5koY30L
zk_wE)PgD2(Nw9k!<LPUVDb{%UUbq4`^Y98BbcA0F4pzp~kizOmR*4pOYXcK$IF%Dt
z4>2qqUBxd(SEGd0?njxqtnRq+4mToNSXIMyM?kq|Va0l4F_&9dg^3IVMXa#8HrVZ;
zuqtdrIbrpja7%^|R;+;*p4vbLh1FwA_&IXoYl!Hu<zV+c!mI_EVujhyg)49~7q7s<
z;rPYia3#!kIekJLq`VR4I{0qYD&3L<+8{;>HdaaWWboxVVEy;py(8RKH?X{dJQ|K8
zC_Wsnpgb7)Q<_3HR1S;ay>*`pH?}MqV8mPI)mOt641osLu?EWU-?a9<a8rX=I9Lt`
z!eF^5rTUPS%VMQr8WF8jx6ha@w(5=;t2HZCM!l92a4XfYuq&Zd_XfKiRH}t-D5q2}
z4Yy<nrOFy;;i(N|P^nG_)&ufN)JQC*0^7~E=8WLBV0S%A^rs<HtP-6MSKwwQUV($7
z@r%LHN{MPm$>)`X>uC8EtE}?8W}W57Dv1`11A@`2)y-&OKuR#$tAl+GGFo993`U!v
zB`ZOL{Fh04?+mwP2v%cF9Fo;ecdf4Fcubxh&pm_kx7oK(2K(mWtB(;u#JL5(6t2L{
zSG)oTU*VTg@zq~iWmy!iiN07<l<tLy=BsZJj8?5~z6t|Ug0D85W#VVn9^|XSHW+-h
z3D<lDTd^M|<((dG$q-z{8d!#_iqm4Wxob_-Jdfh+xOMHkxSybmmL2?rATqjxF_JEM
zEzyK|AvD0$oBlb{b>YUk`I}de$HO&ad{(%IA=ngWvGMbQ92&t{(vfg$OX4v>K@t{y
z48m2E2ZYyBmOdQf8L=|NbJRp8vvQe2sS(7?(}?Ja%$ve>M}WEJiA*^Hdw;mWL9pT&
z?i1k}A|SEt%{4My;L7tq3b!?cMxpQ*NAbAizsj7x1QxzWwA+Zn7HGp!Mn~~DVu5h;
z1)ga<Cdb4$TFAGAWIP@KjFUIOHW@qUO~tQYO=VCJv~lsNx(}7&Zg8szM!?Y(DG)@_
zgdcbl8NQP{A4XD^v{TamgVZ&h{!^I9G={*@fvqv)KRSQUy9A?i;=}B>oNa0aOTL@<
zi7@+3m}!Pbp?MDRDSwCR^N5xxYO+$jtqlZpXnA241DvkI!wuk&gN4~!6FkvjU!}b~
z+g_++sO4db*(W-cWC-`-!5PZ1-2(S9Y3H!oQTVDtVGa9(#vUCFlpbXMcQBS}QyQ-6
z@+kbXpg2&3t|)x`WGHG&HJDNO6NHp#KmR4!gjS@VWEB`5V}2aa#neE5Qr*5S6^DNb
z6dZ(z;_w+hMpx4x;Bq(%tz3V|GQ6HSOdt6m1o7Rb)1ZLad}*S6`!FpzTmtR%CP?hs
z4aqKD`W}r;zurBP^jFh4NIMkTS<sX|K1?TL;GUFBF0j_#m_Xk*OdEa)GUejMG%2T(
zbt#}<dSZZn>oA>+0eVV_P=U1m%7pp@!?fbPCkpBh4GVR8)|8SUhb;;6`C<CVk%pPh
z9;-O~Vn}h%b|FW)bBeW@9G)y9F_=kqEy_mrZRwdV7(LWw{G#VaQqu56&x<0qwzO)0
zwrNk|rMINqxt+<*`Xfya`kzSIQu8W`mn#qTLc&OT@?WhX^DDogL=`Ijp9vPHipNg|
zaRgORgo@u*F$?rJ9mkEU_({lgLS*3%C^!fasd$D@yox_>m_G7B2;ysMb511YOOsG8
z9;PK1ohY<_YFM<xD*mQnIvE4ErqDUo+8Yz-!^5=UxhD$f+KB;rFia<7fY$XnM_PYn
zLj6m_wBi>}6x8<)3w2P%ziF60a-<z99={k;+@s<h>Gqe?YI3Nuk{Lnu+qD;~{(m6F
z6;>f7RR6VV<3ptiVLvoszm02gbtgA$nV*B}>^qB<UVRC+BKBZ!V<oB2H!76hrP)jE
zviL&u;0INg(C)uWr0>-3_{pG)p!T8YU(TM6tr7prDl9xKT(kcvHO`-O=vmIUq2M4q
zq}e4lIjcAajfZ6%=`JcyGKy`6$PBDwx1yMJK2rdENvrwEEFwR|HjU0PIE$sd!gmj&
z+p9ZhySPQf^K)7gKP5<H13&T{lXm?y6eI(|C8tAi9yb?$8X1@Dw+iz&TeE-nQsewd
zhvt$Cq2M4q#3d4&9GB#v@o<SFT{X`o9tx4;p2g<@p0MjI=82sJFqh<s{YH$qc5chf
z?0_P1A`v@&#l;9i1d1oo^c5U;!4`Fb#Hl>+Q#@M~p22dLRh*yNHO4qb&GRQ6nlbK%
zf`b4NV@PyzjFAJ!!x)ZqyWHfVxWJPDNZu~3nB;%90Kk$Yf1440S*c<y6IoH$wdzMu
z;wvi(E|l!U;azwVSG&_EZIJX5cxWV3bl}$oy$ZjE)X5q~O_TztG#LK*foKW~j=W%v
z_YibW*1%6CSc4+IxUzG_ZvL)SoS)t`*7yuH&!2Q?*7!XrI0z82hD0aF8aZ%0tl>!a
z)FH^|+b?{bA|%B`mkm*rPLb28-M(UGdw0Q*<d`j3Wcu!HKxNbEu82txKXC__LnBYz
zSx-qvcBIkvN1Ghsr%MEZA89m&nF>~KwKME?H{e8RxUd#Zg}Dg-uXVvF?ZQzyY$eY3
zS<!?q1%P~3nfB8`NYjub<g>(n@?pV#j(Av%i!C_-#yi<-GNvyr(>*afmtdy&;d$h<
z>~nj}1ADBwCkWOF%3&>6{B(3vhm~-m-eMtlGYuTHG`Gr&UqTuH^0>kjk679KY%+A`
zShXekhRdrawM2Bz8FP5giSHe+cg@{%hyGCrnu*2zC%#XmM+`#U%tqP+7St;wy`B!;
zij-a`21-e<VC~`<HxXMTPCN@|;upP$a4{*B92dP%OhVuu8vM>~digwbjNL;+Pd9B?
zw+;_GXw-<Y`PsEI?0Br9Pno;EzOcX!;H>U}DI&xW!4aN|%~sN#rFkJ-lrlR92fEeB
zCU#uhqRyJTY>3>mvidcgICqod#5q|myA9?5oYxD7z=6Xwsny}+IQV5A21h5mX;-?w
zT*Ufild>qG$+b5ooqq>LOqaT*_^dWUhnD@h%$vPxJnn{J=P_%&x6V;Jp9rK7SvGsp
zj+mNK`S>@ruWW+83848e6XYLCpj;=zd3O8!3uFSBszq}9&y?DFZfF!ek=(ojM<h3X
z(TPI4sDySplXa9gJ{&u(&k8rp6Pyz`N2=UT>ocMHoJ@9a^<ilEWv0Fj^PkwzsFUo@
z^mA#BUbgVGf@0)vlV+|ABj@hKWz^p|nt4XJ0(S^EufRbw_{BprQ%ZDkG@@uHu}U;W
z(-8Y{%F#}pVd>~9elfbL@u>gcsJpFPR(ITZha2HGxf};a{Ytp*2sT{vZVT2Ei@$<Y
z>_DE8U-Vfl?+$i5xa%%V=n%eb?z)p|7-uPt0r*(BB}44GV-2+M)CMvyuZq*+t~;gF
z(|<%YfEv`?b*G(@mFHtu=f4^3d<-M6nfksCO~@&NJX&Jwi3<b;U-}IIX7pQ69u=|)
z#a+;RQ0T&tZ*nzVxYeU_<-$Ux&M$Z1R~4Y;%ie(9EOb$ELaC(E4d(%MOsDJcAMNHt
zORQ-a<3s>AX^gF{NTB{FC)OX!4vk%9z!OfSQ!&$wAOs+5$3+O`cW6AB%-Bj5bTutM
zw3B0;VCE9sd;vx^-*^GnBIv}!RC;>XCbiipi?E3w7u|K;Gw~3Nj&sk&J}Az!7>%EF
z3RM?0fg=wboko;mrVQNO>{(Jgx&5xS3Ja3E2*$jM8s|@{d!|b5w|E*99E67!79=*g
zg@qh6o`nTRx;^m(A`#3=WCGD**QzA2FR*z}0nq3{=Fv^(Q_^r?^E@}z6<07O0TJ2|
zH<4qKO46S1EFhOO+Y8C@O1(!Hh%60S{U%$|o`NhrNYJv=GSO>AHOnahcSFnH5=o-P
zpMx&wgzYD=AdQICxw{AvFkteRhu|l@rZut9{Z?WAX5(=2sHc}x<NQf=7D}HBiDNg>
zyb96=;UN~1*yLC!2aSh?9O-U30n{WZBs&qM15?`lC}zrI1w)r(%3zUV4e#8DQu$&L
zD$GcC>&cXKWNUbT48`eu<ELK)fv@3x6*Cp+cWn(%Gskmt4|T8l-;`+y`Ln-EP=s5|
z0mc@W0ysRv&)x(8OsB#UE9K7?Hn9ZI;m>|9G&gjwI(}#V?9(3uPd9FWKlF5B{MiR#
zGhdA^TpZS)&947um;AwH=0kb4Wh1;^?eQ|)wf2&eH*men(;O2knVnq|Uu%OJC%-Ux
z)p57wA<RV%WpN1$cV4M$QnnHB{BlJxhcaJEc}yC67U(HX9*F5XUY4>~<{IxI&=w#h
zyaJU;^~QwcGTAwoZ#=vJp@2y*#bPXP|H(8wYG_$ol-Jhzy{b98r&Ix=ANnh^Bew=S
z;&Jjn12V-r`Rm~d+zv!ufy0-EUvyg3`mN?bc?S=DGkbo_D#@=ibSrISPW~QYXjSU=
zEHX6w+DC95-ZOHet60sQA=0AL%teT%(`<K8q~u}VL>s<MoZm8PoLME&=MTM+5Ybl`
z{O41BFx*x*vGNM?XiQ33Y%SA&GF*)|T#=-w)wBj&{3qCcCEVa3E)FI}#0(~mT8j89
zE0@JP!!#m#DdOM4bw`ZYnw`On%nGG|a0a`WTV+nqgAV<8oWV+k!fb&~BN{7Ls%joT
zis%A9)K34jHiJ3&X%NKR8_bcmP1Kdtx%W~Wre~iIbU&TW;6G)Y&*}NtrnAV?dnV5u
zS{J}+8IP0^y@8p<rBq0MX2E=Sfk>H)p-MKhcp^U0%z~agGYj5asA=eEnVWG~)Lpp4
zPBG-<;;LanX3REtXBa#%C}7GT^qBHm2kEiag1}a|&KmyWU5dhj=hrckjZcwj=wPch
zl;OI=ZYc|dwO>m@B&+^lkP5>l?9*l5?DgXmLu2D$nbzk<plqAl(RmCLTva4ZaP5^j
z5QzlSHJ9+1;C09pYl8Q}6}S~AufU<b@ry3LG!y(3n{=u7Ron53%gvb5GK=oB3bqt{
zgp#$75~NC^Eut6YF!fuCZw$B9jVZ4nZz(#aC+`YZP#z4bV+~mNt;3Inn;OKzL0^cH
zL0?hU;g_sj7V!+zh-mBZTj9DR#%j&hAtNni;L%!>dpa5BY%qIbFAe&yV7G&TDurz*
z7pQW|1t!UugP#r&sKOd(;i(Ozm`CHB`!L`TGRH((oO3J9nLZEUa|EhL74H(8j>z;2
zgPo5FRI$Y-RT3>K9t-tHbYDzNTnH$f(`x~h(N9dyDYU?3s0tevvbCSa3EVjqsA_Y8
zC*P9v2i-PAs~~i^-<Py~(ub(-%3`;(L<g2qWOwCA^Js!8Q8&pDmf;JKwnTax(!q3k
zYcx6Fd<;Wd#@mFWk$5KW6pX})KY_GS20^j@m0+eB&eWb0NHvPNUYUcH>P^Dnrx+F_
z42y(d9lo3N;h@o@iA7G%mG~)Dc(M6;Pjqkf1?Pj1%Nf$L0v|wey4K_IlcCrxL&ywi
z*@UQw=CdD?)@cIsN~<_i=<9M1=fiwO{$<oWe^TAyRw}4v6$%alL@V+P9iyYcLqy*_
zOdt6W1kqK_a%aHMM~A8RBPFm+-vNnZqa8j5X@|o$biCr1hv}mv?_5Ylj=DV|6^?YX
zC0SnbK~^>==m)!grF(txNk<FD71@igsiPE(TvMN;q$3Mj*ibcvi=V}@xjbm$M@Rzk
zLi^Obb{7K5^+^qr>njY!X=U0>;SHxij*zXT4F&eC)KCNoL2TC(invsGgRr9{)OjZ)
zlLrAOB+3isguDzeU`|MS@;D*6S8i5pF9Vf<Ua_<90ngbv@Nh2tui5k2mZXgewzrC|
zwL{qrjij|atlN=X!fL<XlZSCWV*P7yIl2s9-lhGQS7hLSwXue{fM-XOub2U0T)-_d
zSN8I8@*Oh3$z!NItDD$c=1*lmBv+FWlE~h;oOfX_szM@Nz+x<K<%a4WCS80qD^SIG
zrK>D+Emw=UvMdA7?vI}jcFka($!@Z^&{=}B?N{{$@-=%k?tvzR#2rUKOf6j?D5;j-
z45f{JYWWDq)RL$MWHBvwjU$!Qr0N-bfD5O$=UxxO2#)mW&3Bt~Nu}O`d2M|TqJq^d
zSI%Uk(n=mm--&IQPJfj*MW~ga_NGbe*rNJ&g=&7PIx=(Tqh$aS=FUej(+n3j#dB0m
zVgzC|zgVUvWW@X)<Op%KX2f8NBaN63N0iEAG{q1JYEv@8HVd#Rd?i(Iiv%!l#1yWi
z{tL8`88QEgPqdOsPbbERxrsuxYfJnXx}i=TfKv*VlWu<nA~dfY#*Q(X;5BHnw~dD>
zK<C_}Xk&Zwt;Umr4y^N59IC)7f>v&o%{3|Dt%!+)_C`ucvNU$?0p^X08W45?T3g#?
zu7?rC%KjSSV8n{-ae0eOp_QJE#n6DO(K609+<btXz1AA$Y_N9SXmXE|s#gi6bPE(Z
zdc&odT7?Dk@L*1|X{I>-PMb#azh1;W_Chv-%bqy3N4GRJl4h4}kAmHUaIM2Yi|-jC
zr)1>x>DavK^!jKj!65)2eL9IbSOn0uvWr10N$4$s2oxe|TG19NyeiXMTZJrIO>{a<
zZ@`@dHK>$nuG{g6G#5R2G#791T4I2%<pZ)-wRK=<wbk?LEACwg=z=qRx&R6tUJ0!5
zu@{z$p8|C8GLX5lH;k{I1z@b%_hv=`LN$t?lATB|-YYv-UfwHU(idYfw!BBbtgM{{
zW?Az7)xp|zK5`F;s#o!3x(tPmUfu^NQV9Anrw)?vU5>a@!t0B&r-6uPOJ;D?ER*hX
zmg@W_=_>sI)-j#FFM4pfm>zfbA^;y$0G_}J>SxPfCnl($!b~%qCyFPiJH)z)DJSgL
za$Ga}3ykqs%e0fGuV027k<(Y~PvrFV6A`8I>8lt(p#+rV2uxoE+emnQ)7PLGux_s~
z1J>gcnE~|VF$1`s9M%heYpYXVs9^v_ZK2t_V?_S=p@M<UmaM@rIP5YE%x*3;yUX={
zL+$K~vS4V+nlmnT)#o6TxDHV%v?^h3`}2I2977uROc?6&Gtb>J*LVe(*aK<V96Rjq
z%=d4<HWAt*`&!-xQ8=YlEQZ?iHnD7#ZPST?*&=E$VE&^Xg}jAl6&8&AZ8rX?!Nz;y
zkDmgWV&ji*4p-m~&Eyq0;zRL^PL2(As-cQ%$S-j?Vr=KFlKj@R9u}gna9ELZ<zj4W
zgrQZbJ7$xi;TQD6xWsV8C%KB%mO4dRTsCqMpSf(bx1{WG1TB^+!X(XX)B{weDbWFt
z_r?J(R;gT=tC3B2LTRHn{$1<AmZTGtfUyb(wA#pBAg6J<D4YXSZvxF)Io9aFVigO&
zq-abuCfJSf{N@QcF^JC~DK-5dwq`ngKW~&U%Phv$I8e+M9tKFiM<Jb`EL4k^v!<R|
z$E(sY5LT!m{gnif42|C@gP@o*d>S*&aNSuvXSkLtMRht7yh!HpJ^@(H>^Fc|l5SF2
z=?p5z>TSBO1ZhwU;6(~zW|nz;m{hOg{3D@$%})MFbSL$Yw|7G>XT0Ut;DaaL5<eM=
z(o%{>7-G>8V*g+j7Nl+wZTWp_oIk0qR!c=&{u2}&gomOnB{sQWy&N>2U_D2=i-)2Y
zNdwt%`9Z$eZBaVIG3}$7>Q@Tj2RS4H_mGPsXR7~`k`}Z67Up7?d@p}XEQskJ`&g4o
z{nUcZ<$-%u%oNY`+mMC9l}{=_$RYEkY*c2x2jDL)(?SCN637whBEX)E7<l9U4=#+1
zce1ZE0M9McJuv{!!A$W3pdC;^4YDK=L?CG?%;t5Xo2N^YbON$P#uw{#7Ymg;px}bB
zB^qcHrxVPFV3wkRAnS`zO`*DlJrd5uqa1`~CC4`JCSuSALNyV3wpR2ud?F_iJ)IaQ
z(G74<E4x{tH{8VvV%-Zu94?QV?O0I)s(!CqD0}l*uDj?hC%;2rL2Jh0x6<<uzo_-w
zKqb1J;@1FT>WYyKACb8pF5s%LhA9g;kbn9sQviNJcC@^6Nr9Ap9*eOSxb&NTCl0_l
zp!SyRKMvOITi$Zjs-#c)0Vs6zGu#6D6tmlh0VC2X&4)Si&MB@I$Z&=XWH`=GKIS0}
za!MOWAqg%00agcBb4QOipTnjf!W=9x;U8p^{Tz%o99K1>hoEXCZ7M2>4NREYCzQ=e
z_(aNvo;=EiH+U_93D+%m6Wj?h>~e%WmE<YIXd7O+SJm((mw+UHk3*7+E@6ufRBmfG
zJMBZu_4Y!&H#^_yCbNq;i=Vv)zFvn<`(UoDKK2saIWc=H{j;wE!fknF7Cv{o^_9c>
z*lp>xUh^(Es}MvC+ztd60N3U_?ZxH-oI#wxH9>eY=Dy0&q&wH?K`MTo=;bWJDi<#y
zmo$VaKdIhGk|x{sJfMm4s-+@xW%rMV-e%#5a_Fr!i!Jg4Tda`3O)#DyyH#G1C`i)B
zV=>k$#Y@JAZkTIEy9Vi&(YKA)p%xxCVI6`R*$)%@8-mz-7Fn)^OtFhB&k0xHUS#1F
zI2Kv(i_SROBFjyqlnxxp{CseNYO$himaJC!^^86j3@q62TB2S3&D@CikBE6;xUudL
z;T7cZnAQcZC5<hVekEM7=7^3&DOmUL*x`kf+&z)Md-AQ}PLxFN3>`f~U0K+@H(YIb
z>;g5PAmlz3?m|iAwj0{qLhBF1Rh37}s%?0L;A%`xTDeOyzY}hB2p`it4N7e*sRo6Z
z#Nt}*mCzQD@M=Z><hgo(zM+gIE+3VqnNkTv5A|23)>*&bl;W1Wbgwo4Cu@^->XQEo
zzmvlixUu9FIJ6Fa@n{`2Rn5yr`eye0G2w=3!x1S1sg7uRJO`@JISE5>4@oY&-KKPo
zYEH4!3EIhjFmb#-jHA0t*HG{EBX|82^z3j2ZVKWRI4B6ecqnKS&MH{H^CZMRntg9s
zWm())o`zT@(L~fB7_C}Eh!06b+l_fwj&`>2&w^y+ZxgMTh0$`i`=!*yI7)dST!EWX
zcm)nh!7rntln+{ESz~s>DdoKcqg87N@iLTBoE9UAToXhyl1SS<<={U$bIhcuZ;l*Q
zswA5KzV1R*8%wUpMO=>y0fk*U4Z3agUe7cAz8rC)*|_>J$jv#!HNMl$sYmlypUIqV
z6o`SdZ5F?Sq5boNZWm7PV5_^*?HQjzQeC=n7G%P7x*q?D+G@$Ypkod3e{nVfh);Y7
z&+anNiN)m8Fw+coEO|nB%HIum4N*z8iH8+Hcn=<_MsMISHCXWjw_}fvTVr8i&Gz!3
zuYD&6Z>7^_+RzO2DRlN+6b*vD-24!XlQYC;KNRN)@xf0zrP|S#W{A&p01KhrgJ~qE
zkaP7qt8z>KXp$1W{`>&8tEn^oq`Em?DkSK7C^!fwg#<|~b0I-FC_N!Tj&x@g(2#^J
zD@qB%$1Y!~5MP+j-U3JweSUx71(Y;=f8YT%!>m-nUr$^DUVyoTcnGczTy7;j@Z^&y
zro@7`T->71PWhBve<iUYl6nEOPp4-;odkzkTn_kr>aO!JLj0uH6y_W?`-J22^2?;F
zR$=~TYn<>3YMei*&I#!uNE{i?lD-<!2H_!2kl5rnAqS0z6CCNzkE9bh>RD_K;0(LI
zV$L{T0C7pqxW=AESE_uaYCndJf-Tam48Xfck)u7(GNeUdDXpR{cDZ;YKMUualK&u)
zBYycJbWo>aKQ#pjLh#Gy2rnnU;3vJNFu!PXZ8$oHCf;VlzhxEYZ@9)We@4yoCmot&
zz5@jZ0V0l(=;Syi2abnh9O?GN6OKeME0GEK#;&!PZ$4W9bV<IsihB?=cDb%qKY~Xs
zEMRE(QnQ^%1|steL~NzkulEPN3RrIK4%>xoUpO1*m^kA?lXCs^6C?q_BfFqDk2Qv$
zM#v+xR&oA@YdrE;YMwvo&^+=uC^!fZ@rXnx$0Ip#JUrq^_qfv3qFAMTUf>wJ4aFRD
zY60vyjtLeiu8Tb{f)Dx0t2l>>j3GURl8!8ZyI+b-c>wpFn5kgOr$srPKi{Z#D=j$x
zx}~YrUIl_sa=I1NS8Q@cCb2nyI9^nyzZ44m3lYS@hY@iZ@h}>p-`uV+-bob5q<DLo
z?ui-vTQF1naF%uje#F_RSAF6+>*zn{iLTnAlx584j5V%U)P0DC$}eew<!SWaUz|<^
zf+LKjMn5b?_;~@s0aPjwTsY?Bs5%0{4}l;FT}h1JSs?h|LdRHa9zA(t^LXgmu%`vw
z)=lmlz-F#q?XINTS=+I9^*)>(GB@Za5EOm`x{bhPwAgGV-B~(o0=Bcw&cRK)HJbU)
zI-Ic1wyYs&uNq$mMPjR9<6WMnuvjtAS5qczdYoz4m_#2w<#wISo4sp1g6XXAeGfcV
zsI;2VRB?WEpkjqWoF==;so1f`;g|<aTiHxx^#E(#a0^5<m0V-QW``t>2v)#|do_~j
zsn~1_p^5A2tzIJhh+E;-I`+aOrHi9GTvWA^ed$9WUPiyR63=od>KEW9m4_FB(*n$Y
z0(3ZMaW24kk4r~$mWOeR0zgqns!&6tg>g?xnd&-V?m0jgOjrCje4;pRdO9(>;wDfN
zaK$9w{=Mc%?xBuGHJY#n)v(v88qDtb4t>`mr@3jUy)ilW&Y?JWN#@F4Hy+}j#Zp_~
zTM^aUt<OwXT5nBwUMM?SKDt_gl)eCqv7)O>odoYH%UXz+$N$?-JkV_H&}Xx2Zwz)V
zMoF#tB>2}t6LJAn+6t4k7ViQ<38l0FrHx)+xDHe`=}72_vE~F)3n?FRr&`e0<<Gta
z1t~2Babb#!LAWf>Ok-gW6sD6Tmwp=So=!i>n;@nwe$$A}v}VRzz!0n-SFq;S;z#C@
z`Dz*D#1#I^m}!Q~AI~DZ=8=gz9R9myT0*nszknPeMn}to`%19IA=?#`9@<2-^oJ3p
z^4YQ&B0+XaY&h0mg%Kp!MFN<gEf*dRzw;tt0iB9ZWC79BiLrp5)dg=_7pAZ@p<UZ-
zS=&K9<Yd{=6t6`zwq~}o6Qs)nyYbw!3};a^u~)~DYe&Tk+f59FJv-e86s50B_+_a+
z>#E9J4@1Ze2Z#?&FnGWL;`%Dp5jjPlB9SO>+$j{(16YhTZPt9DyEFHp@;3x)*X=L&
z=&5>@FiRf|g^u0^il=5_3ytfX*+mq5qw{0<coZ5(RlYf!lh^_*W-hQO8WFR|POeo!
zi_sY*eWnSvW;&gZCK7HgrRQM|wsre<*&|KGKk>F+vN&i}7GVh%R;k;Sc9P&JI<P{U
z9A{^W-c+AUTD{8AW*y>zAi7pNCx6J?s$V_UuRDkB*G2$E^-EEHK#hxm1vM^N)yx=k
zR{p)vV&=-Y51&Yp)00P$^MP2)mh>BY^`l9x-&xZ!xpH6n6~j2Z^%i(lH}{PO)Zr5y
z&J4ZiDnC_C9gZt!v-)LrnioUpM&BOsw?z|}E?wUwb7ij`C%=Y{RqjCjZRS_z)i7U5
z{v*Bje%Z_NdQTygz7LDBoErJFYqf1~`Hw>!Z2P;x#(Q?}eHt>w?z#T|!WFo8r0@zH
zJ5unAZlq~@u1g+l`?pp}eseE!RiWI$w%;WTtxDb7Q5YJgjCC0_xLNWOu43~(payP7
zaS`7dy<n$5-W(pQe_BI)psv{qb_z5hG&#1sU@j08)amO0&(T|eXBP-?xh-X!#U?px
z-oUx2(9ApkR?xm+BB@hmF|y5j#%yeIDT>plAn8q~mqb$_H}S?=H4(-?#k&L;=N)3B
zK411=8T^D_>_*Hq!&O+ZU+ijbpOiRX7L~H{n1Xrj3K5PxU3NaYi+X^|6Cjs!>q!kh
zc!C}AlcBAw1#fffiBe$B`{s{Zh52PGI`#Ngk^wc&pHvsarM8mX1qBD;p-@MOO)k_i
z2aPAx(UI=)g{RBrsYS|(Y?$02SL}8u9pRWOk(c&)1<>OtaW5_MPo$UjdP+JnH~0sk
zIGsZMl!DFWfr;<KO!4d<=LY{wnU)a1pCl;4E#?4Yi%S6<9A0sHs1VGh+~7iEN&xe2
z@bs6VxuKvj{LW_2{~MoZ_DoNn*)yL~4jVM~Ok5{7T;OXC2Do;p>9gI8HO!%(<1)eQ
z@~cLt+2v-3;HsFzmAmQKHGJNO=d~S%4PeHV@yfHhGY6hn?sI&RVv1&#Tb>YN&TvTC
zMwvHzV65ieHpYAcu5NSL6Ad~8QXLFaGN(RW9^w+!vn0Z<dB11sd?sXyojUIeSKyvH
z^9meOXZ)gzdTr`_CSDTeCTwPBxq=|*;y;sMud=G}%Vyo~2u12qCDEr5T%JSMfArXG
z;kLTb<rP?F9ITL#?Ph{8AFd!`F1)6jbMjdDk9#^AZfXz<2c==v2Bm4|B;75f-}<|)
z=+JwuTo&;R(+J?S{7|vQBy+4@AFjLnSg}e@2;n{$Zfg*yJQ@zd{b;y?@?eznjO7S7
zcn01dgd1BHjr_jlZ-y%v0u8KV4V2+$<G&9#HH3v_@46k4Ot)A`H2{R~A03gqp)C<^
zIC4ZPTP59vT|h7R8Xb|RU2KXVOPFYl_GzLuJ0eepCPW}0j>d6;prB6w3k?0yJ0j1E
zv4Vv+k`E5~q}Fj#EA;!#+{z>0$g1nnLTNtotss>Y*6AfUu5f=_^zaHV-`E?$1nb4T
zUq2RC-%Vve6m$O@Fw=}61t9SBP6!_pS24o01sBY&5WlnIhB05MvU73Ks@q31D4aO$
zHxFeuVk2>DGp5FuoPxk_JeN$tX#o&@(1)dV5T_k-4bt}tKiZwyt>&RLLm2t>XpD4c
z*yACW(^q&HK6reE_{lJuEM0B-3i+YDeBIW05b#l}K)(po{DnPgpg*ZDElc?ek3+#h
zh{#{a@G-iY{$LV-Vau@V4_P+j%ZBMAAA}&jn`q*}t7Si=5Td#Hn}@0SjU~`cUkZt1
zk285Iq#X*~ENEQ)#xR|Xf|pL26Yx6Dwfo#KHGdW|g*2{Cyrtm%{IKw*XH6;MJ!}#0
z{~D%`99@`o?Xil(FNOf|c+?%~ZZ$;bhy<|Ym+XWT4_1KP6J;*>eDcpNpb*U`kBTnR
zWqcha9hp!5<R_W~>6gZuPktL_ir33=KKV+SmXJ?=26BX0Py-lSTngae@Cu*2u%Jr$
z<b^dW0d)A}NgM}m^uq7VC;xQl81u=~(~0rP-+*rAWxP1Fw`OPjP&az1`n_KG?A7Du
zd1iodmvbP(?qbiphy%WN?;XeL-6L=*%a!dFzw3WW$B0=l`YS0Q$)H#W@><y0f4j^(
z=8!8d|8@gI+mrA3T1~G6Lr_jEHtgLiJc;;dV)=ZDhs!me-V6oR^$04IN>`wnIh`JZ
ztYD$5!{j%!p%#^ipJs*k1uOKd1@Njg=cxY(@YjSZaJzPR1r84_elctX)!&Uk(yX(V
zfs9^m{ATw2L8~OcveK=ufXkoih<1<t8dRUtH*W70L&L8`bnjKqRjlST5@|7vPBCBF
zMKDI-z542!L0z-=>W|_O5Z)^n2ny=-xlr2Zy;rX5>@<-JT#Y9V@KGWE%3%(y(`}`>
zE#RImwqKJ3K3&aSY0{R>6^QFcf5egIQHb_uvO#W5D4R{PQu-g*u<7)NynVuY@pBV)
z?y1nZ=V1=ELE&Fz=YrY9emsGNL@00c6z|9TDPi=Sicf4m9zJ=D9^TwsO|~%R=O%O?
zDa2IzVtho_QdEUTel<P+OqeE5%(v>jp6kp6{LIX<vt<kE$!=j|n*d$aP;FeA!9lFO
zWIt`xh4P_FY%6=q?@F#WE`Yat4wIjBsxjTz$V6*n9}LWfoOIH}NVd7x8Fc62K#+Yn
zp6jz6e9udbzdx956K`5@0O0DuY%36Wzu7+0Tg`SZbmj;BW~&D`&vn}Uq`k13ZGLvW
zHAs4^_pfqIdGf(*@<`HV=Q~6GNeH}1;Ml;WW%zLttEL8J-vK|T_|HMN1;4iUJM*=<
z`urXE6{?$n^TWF<tJ$fGolYN)8%(s1H?GgN_uz(jING#!9QML2t-_lf5FOE6hD+?0
zmLO{nikxO|l2$@*YR8)WMvaCJnhZ7a3^<nbVp}&^?sOsc1P?V^y>UY})u^}R&xvd&
z@M6El4nY)&CbEfzWNvT-%G&`(S{tx}6y2o01aBsBOHP8FTD>>hK?hpb;Cj8z0;Ga9
znL&SX|C9Ikn(+K6^J6XPc01i#0}fMz1C9V^Z0bC$<DA?X^x;@+t&|BWWi^|zzF0-1
z2Z0{59jsi{29f(w<_9Ztb_({P2S7Cdq89XNH3RQv`^cbvBmu-1;P-~4y_%iYP2g_A
zh1x>04D<ojz$Ju$!)7{c6)~D@F4W)<*2U&=Fypfw^#N><QLnNMO(3f63vgRuO%fge
zOE19jnsnQ6pbZprGQ9zG+dUk9^=i473>G@I<4Z_VrzFRh;qt<oo|C9#zF#}q>^0#C
zax4pX=+x(0*b%t@5L>xLFhpZtwhcPd0~V<F;nZ08ww))d;n`EYRbbBD_ym=}F|(Kk
z#s*7UfFVDrTR$d$0*UTKt^&$w9|1yaHJ6(G)u*rf)(<AK9m~mb4PZ&&)O^^n1=VcB
zHz*5g$R1gx(eE$!4qSNQv17+(msk3YPJ6b~J#yhfa`Zw-*}HHx+l4u(DUhSqPvA^w
z;JwvsE4<(Tn8#fV$nNMa&Rf;s8&%DtL^XZ5n58${O!|vdO{2fmf+{Ba^*P|8g??l8
z#;w^5(Bx80vZri*t+$L6a$j~zZ>8O@AFnl<M;a~oALw^etAnJ!t+!MMM!RzWeBA?}
zPNU!KXRXzluXAW;@Q}g!JPbVJH$a&ngxq%wmZ6FrAe8#eKH$&fz<oeHo%v>a5okaN
zhEq{g^agWgx>FK3K6?Rpbp`5bBuO7i+cgij(%(@_mg>z`t-i1TM@67yxHsFFw2!WW
zHpsRz5dl02<c0g|fZ+SJKFrP%5IH~$JE0;Vmp({JAcciwvA22;2r=Vr8?Ni5*HGG`
z{IMC?Vu9Xo!I$hgt)d=z4E*V3llZ#7vP_xj!@*wToO?hk;djs|mo_G|&8#s>Bv0^F
zlCvQpoyvD9nMS$}%qE&WP&upj;>_d~Sk_GT^FQ&)G|ZdPih_R8VMvX`jm7jw>j904
z4e;k@@J|i@d<XyhHU8N)0e^PlpB4P`0{ruB{PWlN=Vvy<pP$7)Kg2)lw!oix{L{og
zFWw4&GW_!zaH6IU;Gfz_@Mi)4Jh&bHd;tGUo&tY%;Ga+9pU>f+dv?N~U%)?ycfp@I
z{PSPC;m^iLz@KHXCDH-@c?ntvFT+3Icr^U^bNqAOW8lwT{B!O3@aO6H=jJN>xds1h
z*#m#J<DX^xGr&JP_rjmu_y@0Trdzk^DigZ!g$~}LbHV6Hl@yO%p^e2UZhEE-CbScW
zR(Mlf1tx2mrWJ#1yUxu-ireR#aOf}6GLR>GgF;)RV>GY7Vd;Pqfcux`IxQ(6DCz0e
zOPPAoC~;EMN|{bI$_M@1?W4lqWtYXjtjnfArObB*s4!Nuljb|E7H}!_0nCamSM&Gx
z17E&q^%f9{V07cLfxzpa&9K5Mu+fg*N)KeHc%5e_wdnYW+uERLpaxnU1g*yalV-a2
zyR^s2BlB_OyAoHNOs5}(96@_;f?F~hvrQ;Az^J<RmRp_yeHMmbT7lJ65Xxxm-M9t0
z|2MG})9IgY6pf)Iz=@k-67yT|QMg37R8cTI<th-|cT`A-S3vvs=sFm%N-Fir92g6C
zz{+Ync}iuV&>Dcbgm_7))>MWG=Qm2j`L$R$HwZYlJm<<=4&HF^X{gr-!mTE<AwWT!
zgz@x}4PVFdem8OWm(n==b1V*mtkSPQ4%PDq&v4UJ3*IvVPcg~EkfwG%N%X+w=+iYS
z&aa*de6#~{M6sx#sq`NZ%RD(DVj4N+u*9iqcB-_9h1??fd6IlhcFRf4_Izuw0ETGi
S2%0QY3uv@+`<Ch2+5ZbWXU%N@

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.labelers.char_load_tf_model.doctree b/docs/0.10.5/doctrees/dataprofiler.labelers.char_load_tf_model.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..a237139252f04b9474fe95e4d1599e9d1cf45f77
GIT binary patch
literal 89493
zcmdUY36vy9b>LjxGu?AZBWZ-xYAIzQQ6tavAPF1jMIa#<A<bw8MkA2W8%otx*<F>Y
zt}3ds=Fnjy9yjSjs0_B(ur^-SU@&;stYBFlnB|$Zjahq_wK*PZV~kf1bNH>-*lT3N
z{{Q31h{%Yj%<OJyTJNbRD>IHCKmHv*B3?J~3mZ0U+<^Zjy9d2yt8-?q)@XFPjc_nZ
zwl%u-;d0oCM~{v6Ju-TDR7s}#wbO&{uwM^H$p$D<Z?@Wve%KkE93{K3c-(3a=6L<B
zgRmaAx*b`)InkVKZaq1wG^dh@xD~fU<x{ffmS(LV9O>2?!HLD-4uGLO!qQN9%Zcy|
zLSZfQ#u32=jbD&V_G$o4JZhewOjRZL&CSUqhx%x;rQPa;qoc!xS~6XW<9=&l7{h3B
zbemg^0ghyAy<Hm&;3YgybZX1&X<K91OMfiX>i74<MJzK+w#Kz3{4{FrZq77!G%ssz
zZq6q69K34~_6G;=c-5<~fBp>zd;M-SIM}GgHF#QVwZr~FfN*e-L8g6}Yu6S+C@`3-
z15T=Kz)3Y;tS%!?=K2E|-{prl4Hudll8IKQ5uQ=d$S~Zz0>;z45|DQl{C_q4|19`_
zAC3*s({Is;D#?~!t<@hT&xVGF?eJd(DsVm+M#(`|<v{Kl&B>$js5Wf=c=LdQqDRM~
zXfdqC!+uy@=+`>+riP`10!s%iSn8dfN9@8_J4-=#G5^p2wHpDoQ^^$2Qf;YU>opbh
zCI@fncH&yAGYE)Cg2iq>i2LvY`$2339IAlL79-)k#p|VHeG4G$W=2y-o0lWyI;R)$
z`ywE{a}=*)<^jKROri*p;2e=ou#*EoGl-4k78DjJD^47`1Gyrou<2-Za?kX>QS!XJ
z<U40{H?op5n;qcFEg(PZ3e^a)w*iDCe5npvATE%sl`_fQMjsU-plYucH|GN&<o%4Y
zs>`)r53n#FG+Om|e}GiF9L69l=7VEBl()6^z4+;5aAR<^+X?p(3045C-PC!l)9J=F
zLog?k41a=L#m|%qCt>p1`KU0NI<wrKAM|RdCbsqZA&9|K;RuN{f>su}eEhX@j`_3G
zjO+%O+rcmgsu88UP>0QlWM6Iy5|}MeLr4BkyOCc>wgX8W08A5n$xZ~9CX{}Mss?C2
z(0mYQ;^A~Anh%j!fpJdJIL$%sHYigJCG%bf_)#Cg+Yn#|?KbSx4d~C=0Nq1?O4@I?
zKq)HIa_cJbj$|Fix3WLAuiZvpvJTAx@_N-o=yX~|;8K01qwyndG$tE6qnbLoII+J4
z`1$}*?S+IS1fVzU)Z<}>={L@c?%_%A^>=-}_OiWxiubxV*%%m2eL!uh`C%dWlg%L1
zSpUFay|B{&sa8D$MwNnHZqDpwg>?|WqPFYSiD0ybi;eCw=;%?hsdpA^Ab1g<?SXKb
zASM}6k+{}h3gZ#$3AF#&d6*?Ii$+N$FO#FRJ3G(XJc@JiCBVuTGYb0?t~m>xYEW?P
zZ$N{;4wL(SiNy=Z-q5uIC&3ieJGDY$(v7z|c7No-u6+Pc0$iV#aJgwK+6gX)r}fWg
z(1XN<ty_reNwpz`xVE4QWCQ)OfJqV)`>2gKy2=lfYC|go)qEnQrslUaI%1uugw*`5
zg+8JypyQk*0yro`B3DYe<+2en1T&ph5!9l-(ouKFk2)*0L@%ac=OdUC{tm1JBRa^^
z41IBs%`V-9;&{nY&^A#{mvvF(hqO2qr5%l@q{R$M?-i4`@m>Sahy8%sQOY~WqQk~e
zZ}<0592I#PDvJj2eKC*#q;S$e!+ZQd`p{r-qL<1YL`Yite5s|oy|7=4yM0CfB^z&)
zu-|CF{&6qt$;NI*OGl4mm6<WD0Z>gPldTQ~N))4N3wjd*8umk%17Gk11oqHkZP<>h
zr)uqCr~{W=Fc|iF-F{phEZ6$+YlmG7%DfeHX!Lm%W&`O85g8hCe8FD>rNUhiZU8HF
zPS!AT0wE!=o<_+u8mrxf2;x~I&6rLmi`xjzZ#5^AZHvQpo6N%IV`wNenzIPR;f(-P
z4P_IN26H>=5OGkWaKdM<G;b1`ExF~zH3(SE2h8}Gzt3*5EI=V1MZ)qYFm6#>Xoq*8
z3w<9=Z3VbwD{m~NxAYZI&p#Q{+?4VldBKYN2h!WxZh<>nYb$IJZP^5b%Xs*P5@Sn8
z0ye-*v<+LMAe}9s0&y|2LYc7$7Tp16(P=Y}lsSpb%tV{upNs-mC^MNP1GHYqkW_4p
z=mO{<H8Z5qx*eJg&-B`@dMh5il?t4$^*ivW7_ZUa!E7mJNAoewNGXL(X4%dr>%xIY
zmLih%*-khjh?_<Ga7Kv>qkrI34vd(xS#T(4xNm$xDLSL;85unr|8Wwf>E&URZ~frk
zip<&DI<2@>YquT<DeRAuC^&J5h5qM+q8U>vMdQs3jV~&S#^{Au<MP9sfld@Sr;_Q#
zR@iP-jo5;S<-rmLeOIJZ`iWP~`28=J!8$R#Y2}q13kj)viVP%r6&w8t{D-L$kVzm+
zIV20+#@P&{@Ok?J=%Fxn4{{2JUj>1@oUNYn#lAG45mdmf-xnM>0FlYK8N^){2*(Fp
z$KXl^BB5N$SD|>fv!t}1sId?(^wn27njXrHrUV7%pcmF#i>><TEz#9blf+|m4Yq-L
zIC=n|W};K@51?;vvMHz-x&uF{Y?^96HvJGqJ5LNPT<$e%gVsPDTpIPT1vR3P(Y!mZ
zf#AM_f%|g=uDfV91Y*%06cN#V*yx?maP&6#W5pJRH&Rq>+&2zWdy|Ra8?SrJh!0T<
z8b<df7ujh?&b+GthevHqG3t!9Fedb8qQMyKA);RkWuWm66^;7vk1)OXtf#ziqZVrk
zDj0|$et^LJfW`0!$PIBbZ1sb%QwQU#5wyU@TY?}y<B#Y;rH90b({PqB-b&n%@c074
zn@gFvr&ln;AJCw!%z&TNZcJu~9#hA`95@cX&1L+C(VUy272^L30?%DkCI09GP?+R^
zVK~`{|C><OjU6I>iJA=YXE5U+eoMKl^AU=i@FZsipkK4M@yzkLG1x7}9Cv>dtg1A$
zq%enER;{($$Ql8xa`n5teybLT${H72Z*7K5AIt@J3<q(54ib1WL1(yJCFUE<1;?O`
ze$eX<1}!uzls+LtVE&w6d78iOy7{2;(&NXE9Y1)(zTmD7&?|VKBq$o-3{oh6Zn<`*
z+73HQadUrw&vnceAc=yZ^j2d(tPw6(!{vn#9tU7&RTt~i4M1ym2rGy50&sU~KVc41
z67~mOSV3Hdg0R{symi8;O)RMaL7}EoJR8d3(#^W0aPzC1<%B@m3vD^HGk#h{fppMl
z&JDF9koFUJ?xLjy(sj_V8#^SBBx*7ODT5h@K+2R$HCyMYWl~`xKh@nz!5X~+r++3o
zR)h-3kK``J6jT=YBx`*8Lc3ePze?dP#VE|!5Ybc2*`VB?$}Uq3HyDN&%3^psV7LmE
zeeoA$&6BJjF&WKS7Wf&j|1QYUxMm!Bn~d6^P66ar4z0SxilRq1CUg-UXGM=u(dbV2
zN4HKZ(cQ|sWb5$|l21C!*2H+9_$}v!Y{+*NnH1rGj<Aw+K%=J8Z-&Z!0p)~$oQd9F
z1PtK5ndp5v=8R((!7YSc|McDg!vz3D7(tL(xooHAy~(Tl;cJI2NT8{LO74n9UND=K
zEJ9zRo|(`R$c#tGemYvVl{qU^dQMap2lp8?*$l;t<Z2_q#MJ==fGf?Pm(?zEz`^3g
zj;}h6|GAgAD$QSMzFQ0Xid6<kN{PNI>n0yN=M731N-4qVeu>g83*9bDyTyfoP4lL&
z{#`j{p6n)L|D3z`Caeh^&EGew<ui_ai|YiZKhO<wpKKz8*~jBzP9Zl<nbYVy2(y8n
zi9@yaK(2vpgA6<NLLcp}El@L;^F6NXRN6#;3gECsspvc4L`C0)KN@L9{|DX_$W?)L
zsK=uJi*<6cAL0|%sn#>G(_+AvI57?vqVL1-1?_VJc4bbZ74i2_9Ee0T01F0^NYa^N
z3x||wG$qBYxopVuk)rE>RFbW*v`7Jn=z9D~`Ebhbt(`8*^2X)RW|b(5>lkjvl-4hh
zpboKLOg0y~rLu1Y+6D4Zo81PemfK6KmJC2EP%9@)wUTMPqK$n%z+m^i5Rg6@JVfcW
z_`Dxub0;B!_d-gi<pJze3!R^7RX8q|FS?*O<`oov?Q>YxO@8Ox*FF{;k!XFd;J##E
z?x|qtO*7yM)~qO5Vnz%#Ph@pb;@!4(+_a~GEI=i20CQ!>#r_WLDJi@IOP&dSQI(N0
z`b*v9&Z*p@-Dx>YC*!vnU94QYQz!Yf`<pVTbtgT&+YhK6wY-BYDrhA~$HWKy9jHkG
z$^yT~&Y?caBEp^a^eI1_UPM@E3{j-fm_q0e32C_TAtNOCCq^xUY{~!uJeHj&>q>*a
z@8T1cO-{>ZUI>G<2+4lm52zPOSyWg^cJqWjcg8Ff$HYoVcGLbqkPANQ%(d4KX;D;w
zRyR6$roV#{sK7o}pL?I{htr1$-AwgrE2F3~df~M|GJ5nHpif`$O_YUfyC^kTqLWD0
z+UA-*k4f1R4zr|eOF%s7M~pHAH3qMW-()k`;`)97)=|D$yaxctfsN=@2&f$)DcYk$
zfTT5Y`K}ym8q;<yaQFCBk>~U>E{v?6lbVh=duJHaDjpei1F>pn?1>yxN^*bn28OQJ
z=bm1aw3s2aPAy|X_D}QC0<w>0qNtVeQC>B(NG#7ela1b01hq2Oi<KmS0O9+?z1M3N
zzOwd9?_mLx_BG;WU0naAj3Q=+t~eXwL%Bz%F0VZdwX&%}?}xXJ#Yg<4nL&osDwqxN
z8KXJ3X2#eAPX+oEf#)u&3O<(LnllyXv(T^`I}~V>sL3ooW-#Mee6*Ci)I%LoLL|OY
zAZX2YQz2_^kY|zu))2<v5m7GI5U8lPNwGrnC>0&gyK+T_Gp_tCM@%a;{|wEk1m~W1
z1ed1>{u5Tp&$am$X?9K)fP@xlrlE#URVoNZh<yQEEXtR_7=rzC!53+Sd=-l{{z^Rb
zCp4f$AnXs;D^{XE18`wu0L8-exL@>>pg`$+^jv&;F5n<~o_u;fJgt6=@8yHqsjwP%
ztBuy+{?!TZy|jFIPl06xk-h6P=8MuUWZd=Tu6cLdZik8&;dSUQb#8mPm&X0kx+Ah~
z^5Jz5ty8cGXN}+<_%u+rLq#vcTN;bYepJJ4TX|K1ZTVYA^pZqYfe>3AD&-Ba4gDS1
z9Vp&`CH#S3R57fC*vJ_sA#T_Lu)1b(#@}wV<QC|v9#<V0J%Km7nb{qccrzi;=+Pd|
zWT?>Pp1MInIDP0KR&C8Ho|q_$4r0nB(Q6PBNO{rSAWmhJSkXpVgxXxfkFFS_Q5)qs
zhU>%*@gg4KZ|57n@Ca=fNbwxq3azb?M|hb}q)KOyO$+%aw{gslbq24w6U0eyy4i(1
zOtR`R`x%u{aJmIM1Wt#orDi;k8$R+Dmog*zDnc?7eVGF!6uLpm3eADRK<?rC6UBu2
zKTR>e_MYK)i(pmQn16$nW;qid2D$9_3~%9jA>BIyFCg8u+ds>8k(`EP-Y_`Z9R{as
z9f&M+161Crp9pVkuA<a0!i*OBN74?N(VMpF^4m=~ssr>z7-QBw{2{z`xQF;jQxk>+
z)7`^Vb67RS#kpZd>zF%-7eXbU&8;exLeAkO(6Adf<Qz)GWSqkcUL4M$rQG!;=tRza
zQl>V@8553FKD(UBCy6NBWTp5z$T_A<p{iEJ*Li}9u9`D>ybwikXYv?U%FpPE`i4Xy
z+E1QN2md$|)r&wv&g6Yi!$;T(f)V0E2=-2I#GOeYl7;T^SK`j3(4Z257H4ulfa`N6
z@jG)Se+Hk(nWU$+aVGDkvj`Xa-Q|_LleDWkkU1l_mUb$2m{#CcHccByZ#nB&mIaw9
zt7e*aw}X(ua3Pn#^p}!RNN4>!m~B;=xP^-_ura;uy|PyF+vmO;s$-u!qG{sIF7rFf
z`!rwcc>9kM12*5%@5HCri$03YJmrq@=e@u?R`dQVRLbiZf5qQ{-7)4JSR7;gq7rF&
z$M|oJmfYm7+Ayo*7=N1(X!K}zj2SB2!e8(rI>w*1HLEx&qAWVbHp<f-;}slbiELw-
zq7a=Z-=NNL&)BBZfPqJ4z&U5GJYf0Oa4!UaeYOOj7vZtnrY0qT=-n{OYvi$C?$=hr
zXJ40+p8VW@!<l|;grRZ-PmNY13}~TvVhs5!NMep&goHd3-I$x6!RVwY!+O-Tg#URy
zRKWk*#~F?n!K;Wf9K%YpTpN#%GrY8ToB?eNCC-3!wSq{)Qtm;j-t=>!RyNX5hqsPM
z1Afx<t|8tFMH(J58gmP9^s;!Q;Vc2?E~?7<LXn1_f`;9=p-6*7OeWHh!HXl(U@7;U
zv5^KFrAX<Kl&cT&#)Ku+Ev{(8ePeL1I>S`d+oV`oJwioSE!yxgXig<jH>n`FJlgP4
ztdyVK_u`bmmU%-@iq$9A=XBCsC16^9zX<#kqxd~Spnse^qX5U5Ge(hjTDG%2o&h`P
zf_X~XJ2`4{FaLLu;fd+_E3A}%dNRjHJJ!iE<#bS=%nhn4bfQP0TF#R|k_-f6B+x%X
z+ddPLSq3xF-;XaRl1vb{g-F8B)I4k@G<>13l`zZXR9nJUgk4V#1b$~>tGOu=wxXxC
z30u7a&!CU1e5q-5k{}M14gSDZOa+(~gsYxq2sXW87^Q2=(oO>cCJv0ZI+xuF)8v-d
z{<z64vTpK`b3f{2;Km5@Y^t#P6vm#^jc$87@aQhY!78k0HzY1?@hf$uK$UiCAY^6h
z+4n*JKG9})$2JV4k|}y2w6;dx@vN6QgmcX2h1{K+IBLhbn^zo11}3k7OB5|>Rjy=@
zEhkwldK>mV6TO9lAmp*vS|I0g9WoRl`;95Gv%cl3S()!Hf=^+_{4!RW6_f$g?q9sl
zx2E;sB9M^1_(7=Q<21#LM~HJ82k*+!DmM<q6bWKX`PSljh`rH*i6jEE#sTy9JjTJ7
z0Y+vVd<CCqO^cq^#yGfju@$e5N$`TwCINu30z=??rmVve(XCWfglIl^3H-ge->;qB
zAHd<;=1YE2(Eebd7T23_W61;IJZ^fH@55fV-h|Vo)puGlKf8=5-7PI^YRYszz*8H<
zp$Py=*k9-lpfCRVM1L5P(Gm}P?T{`p+8-=}6BomFY+NkH^UUC4Bfff;t^{o+^f4=j
zo~2+VXXfvKiptt9-;;Hd_nrH;3*o`ASRP-Wguo{`O)b61Iu2eez3OB-EhZd&^_5N;
zQ`0`ma4e`zK&8A3Y8U%EurH|b4lE05_(i2;WkGF9@;Do|5%Pl-9i@bhg#$*bZmYv(
zQyN*PN>BOLT=o%4jehM*Yz#SWT_l#xaEWarHLF~fbE#YUWe91TC@aV)eW9c8<$m<p
zhjD~~rfigU-o+HX#@~URh<FDUBEm1LPeifNsxg_x*ZB$)QIAk+^y|gG136&veM~tR
z#&-wDqux<RpM_@3+l<5|9R3Lc82(6w!DnTXlKXW(Bwscm8Gqvj1F$5g?X}wy87`Yn
z%LzVHU+J9oN$(gP;`-x67WvNJ_(OjOc246RScnO~I5=%HZVh(?Jn5T0@~;~$8B|`J
zyQq(R!ue~2K%+-HU-?l{fUo|=J6<nejfJ5YU+vzm&!LWos03dz088@Ko~$jN;i*Yh
zM(~sPsZ&(NJ1z$=JrgSBHGO{4-+`T%cn20<!Y`}COGk{B^cl?)LNm;r0=)DxLZH#3
zotONmD8NfC?|8kuG!}+py!4<Sk`lbc04&K%&&=b)X1J@wnNcI}xE;Lq^F%87^wxX*
z9oTt|cVOW){NmuXUFd<Qjy}gu*4eNfy7O_PS%VFVE3qPn?tC<ZPWL%cpZ5c5M<?$f
ziwes=zpwZ^D2@s0BcD3YAi{g-&UgHf7DWYGJ-QzHfxm+isK7o-q5|#*<XeR@HwEt8
zq4R`6ygo!2;>j-V{oGhU++Xbl)GO}C!ca`yKi3aQ331N=H1MgAh}Zd_@dP8YQeG=8
zsKUEM`f~4Z9a8=XRLW~ny~f{xodkIY7AcQk98x|#2H27rY&+mLHrg_{Lz$wSAtcsG
zJ~r+V4vjADT;|6{0WN#gJ76!DjfFwuGX2P5{!163zwU>n1fMYwOY+%;wzz(V!M5^J
zg0<vteQclfj?KYTA18vyXFC0%zXLl{@eV9Zg<n>SslINsWl;FqGS$}zhenrnrt)K>
z08{;ocfekz8ViHQR9kSVNl+g9p_AS2o%%HDcqrxd6F!Tu)cCTPW0EdVMH?_^lFc!>
zBHwaa)^MGmiiW*5=fzA3@0s_KPt;!vz3b}IZN=a0ht$s5yn`$<Y!1yae-9-Xly0pr
zi3+bBzu*V8ATlOsRo0-4p1+IY*x<bsLWe~p<CJP5Sy^;(pHBN`qn0iKnqGuCfB?d^
z(3QRmnqv9C<nKENCRdi^mEkfkX?@5Ktrt@kd=Lxh()bhp9&+Hrh}abg9AuE;aT34a
z2h@j(vC>{_II{`-v~u(<NLW~-l)4KnX(lp}jwv6??fN#)nE=h7y<kB-CiIpQcmp{l
z($$CkKHO`^4~U_IVek}4TFi&b>;lYV32L1N=C8EiN2}YRcQV;-Roaqd7kv+BawhtY
ze?k??V>#Wk>nBTurs`XKd@xnnG`!V5WOU;$T@V{0RY#`C#`_^cILmDt#}=<>*>XT?
zKl4tx$osZ5OC+e=)d6a{7tfrBn-F_*okk5)rSQs!0|8N}B*5VSwv*u9twguZBTChT
z6CO`eUr8z>VSia}tf;#Vo&dCD_k=wI+5#<OySErWX<E<_z51T83Brl6kohki?(2*O
z{j<sUh0PIw?xJdRpwPas8=zq~erR79LykVqjc)Vt_A=w+6X3<|7P{Sl(*^sXWA@%M
zJ>Ojbv(X_aoOAO_bP~#zz^vC~7?c@d9^6i+{40o8eWm014P~Hs1S<K`a#ad0gy%Pv
z!?VX4`IR!`<5&h0*1XRfzi1M~v3t@|?#l6ER8CEjqcCV@vzOEavScSyLiI&sW)2go
z`Bjd4sHp#*?>j|)m|uasQnyzEp+dMF!wxYceF9pBXttuCcb%r4agmX}kT@en@`uL!
zxTUO{oy8TqpCbfV6$yUQ$iOS?aww9&FdB5jjWfg*$=3)#chS;p_?OVI8$YB-7;-d4
z5*@)ounc6-Df-0xW0?W+8So-^tR~sITc0a8z7*7Mfl6y4;ijPB;;2o$n&gTyBg}(a
zRc#0xPEjuU3_rUJ6bIG{&)1j2bMzjCgijhI{IW6w<Y>0268xgc5Qi$UlsiyNpvrkl
z3RVOaWA;8?#e5dV<zt<KD(0nWa%50}Wo`0E;LbksK^kEk_Lp0o5N~f^fXnXT;)FqM
z8Fo$#V53G5*6K~Rp~I$B)ErAe-DzjW<PURCzMH#+VtFkQy;ZT`Cygk)vM)`bg!3`8
zX$5aH8p|d5-b}!`i<VX@2{i1+4Jj3gn2g<(!Ha`gEak2%PAn<Il&B0$V?r^WX*y%D
zUXW>S*Rr~VafVUF{j`aQ`Sozy$RMDS19Iq_VXGg6oq87!i~w>9m%=`~Alop<N~C}N
zm)x}IrV+tEpCV*g`3FDc=bs#g*_Vt4-Hf4F5C4+@bQdknLtlZ0-S{CMV#vvFnEh>;
z0rDB}3MUp{=7QC>a`dAzJ^%Asp?2eWWl-xk%r1sDRcdroghD*Ia7zm&0=JgclS-MM
zuZBuK&7GfYGfOYgwWZMOwa0EMGe(YGi#>*4)X4(*G7)^^b&r`>@L9@TollacY9(g{
zP$gz><5kIj9>XC8RmmM%5?D~deX3-G9ctH>P;I0(7@SZJ>lJ-`NtN`|0s7OOF5B*5
zY7?yo5wh~8nJwp@dbhL`+N4EPZ`CIFNh1lrz@z)v1yj-wIpY+Zc)ihFE^+YF1fIKS
zex}sd|DrcQ!*1-5E|I9o*kc*YIGDv!?kCC-jzncrvH@Tw6PoeNv^WO)1)1r^JmD)Z
z8}<5Nh6RJT77qtOw;wn-Nal@k;*-B6(un>(k(>V9bRoFraYBrhYw*)5a?Kwb&AC}Y
zQKElD;JJ&I=9>Qw4ZE>JTq9AF;hGF)99&~5_iQiM*yu#geNwzG@QMk;cwYIPF*wig
zinqzA4QrPG$L<{A1b$>3E|caw0^~_5x@u>vTy(xp@@~RIB=D2`_F$zktGdc^?cOFV
z&cbaVa2&*S_<ywzTip751LfYt^*JR2R|!D!HAUd3g@mi1hR;^Saq?-wajx>TXs7mZ
zp{Ko*qb9-kk|M(s({nRc%0E5NIAI>xp`X-Ym=0)NQVk={bWd(j%Zf13?-(g|7tI=g
znF;0N7oU8GIyQH&YgBXdNa>NWZu1TdW9mAc<QSPX>+g+gKQ!L&%Eo3-zOy8o{p+<K
zP_ennY(+As%BxFAVjYJu<&;>+`h_Hxw|8+ripVo6be5FJBa@OSdzKViVfUORbqG`_
zJ4@<+z`)p9QuMSoXGtCI^+Tko)j3b<Cd_*4^}CC$cG#bzXeC4?=jzQ`zlvwuR^!Dg
zB_Yk3nRy(H6`U#cX-AV4glRrtIa58z$g2TB-F`T?*sm>zb1#9fhwy1X+}xFZ9EAN=
zIGDSW{(&s3;d1Y+Oti8cJaxnM`-4HVd%9Zhb{1O=h|Gp?02Mzd>QJpcfDUZ?Oz8Y5
z;%Zclm1cTK)K-ZTwoEI3>vHhhUiSANboqp=n|$EhKP*b(!#FVNJ?Hiev*j%1P@m(g
z4=?W{JymK8_94PE?1xS^oA&62fuZ5;8)tq<vNqp7rStq9*i(yn2VlsU>K?ynhD<uv
zBdf{V9FrCckYyO^SiHtRNF_s5wUgA-P4z%e!dE%+Z6WwE=soY|lIQy&wND4{Ad8F{
zRaP2;)UeZT^><txMc%$kBF>w#@oN7F3Zm{36?K}LF%Z}EcUv5Bo}SkNZ4dh4FNn6C
znhG{h^;UmZ#ZhJSRuVnFR7XF=KI9not4~rJMHM`#8_$2hq<VUC;e}~tg*Zd=hU+sb
zrcg@8C;a2J58`pCq{}z=nRCDI@4${w-hoBk;1`FwNfSA;a?z65@#jWMhN4yGB&Uj?
zKJroIR|$bek6v6mP*Gq{?33Q{diTWorvqTn_QY=DG>LI-c+?g1&I|PU({WH{KP&^T
zBu8EDcMUSUb)H#Xm~z<<`na$0j@z;Q{KueDUOsz{zXLm;@eVA+g<l+eR`^VZ+l{vL
zIWMu(x5$|ehX{v8mv&b3W1|48EqMp*Wwo&|XsnjwOoy|6SW2Afz(6d?aI1Qz!#liV
zb1>D<5<%qim44OVft{&%2NtHnFRR5=j~i_n6kc3?6=ACXKsYqIv@?|-8wHr^i{1fy
znQANy8dHru)8ViEkd$C424E4E8ebOAbV%b!(LbS|o;}lnMUZLrCu=p?Rv@-qsMD}P
z1SRN>f^7NhrVY@!FZ^s=8e$uMin!<-fRZ)Z;e4?p=qYzOv+1C%v)|+q6yOE_F6YaS
z4?BEcGj3pBf~!M#=nb}=4&(;ramA!z5?zaPITKZKPbn-&!ZN_@`U*-ClCS1t1SGHh
z{^T2rAXF@s&SRxn&Zn!kKlvcW8%6Fi-<hn%%qa~m4$s7ptlS$~bIZoYEbq=eUUlj1
zDyWs+d3*xig3W8&d5oVl^=U{fEnine?D)dAb?5Q2(V$zF;YvK;FcuMj?xL!<SZL>Q
z7aDfshq7WAa<p-JH;lch%mDcec#%7H!`M5^^!!)>)JCs|!g;qI|00wvj#__S@`uZe
zFb{5x7#AmC<E<3pl$-JCGO&CSD*2SDO2~z<{h3nO_NFO+smuU5vcV8HcOc^zO_Dfr
z$Smci6<H}KAyMCgMm6iDMu%%p@hiqm1_~g)r}!up_3tU3Pa}othA->(E<7BC3gfmf
zxj1EH7Z(aCZn;QDu3J>PSyE(3Zh*EN+5kUkbLbUVX>icG%j*)OF*nSLCfG~Bxr>%&
zpc!b`jT_Pg5-}Ot&fvvC+m>?I<fM?4?(^0Fo-q3x&lCT$x;$~C8N0({Swy-$?56Jr
zr)!;fpxD%bk~6?Uf%=a6Y|xJj>+A=KGLqM?$W3l;G7v0s2T>syOxBGS_*LVQy~)1(
zW0p`CsRVOv_Bwv9Z>LeXd8wfMdwO%kA2g8e9@hBjJuRkpQ&2Ht>G(;TTdxFE!nTlG
zXxUlu^G0)Ss1+IbGX$QyXlWVv4rtho9g=|(H5nP0!Hk1DEai&ld8bTLye{yH3B!0^
ziO1kP!z<n<MUMF49MYC2BcrRDGqvxz%viZIbB0zWx?6ddY-QJqvz@Xa%;ay0T@svs
zR)|J<j`$a`(iqQL$q~N>)8c}5cq(iwx?n(u#+eEMAkAA`4kULCAdV-BjF&PrznOzL
z_%tG3R(Tq={Bf=fwRaK=G@TQBbqVH{BS_PHIyYgZ{L@)D!g*<Kpvnq2p4vS|yzK=z
zeEu1rgl7DL@#VxW0z_S*8TU&Le!r`Ttrg126;V$)la`!Za`8Pmx%i#s<lX@TV>!9>
zv_?6(uuHSnY7d_7oLmluGbeXFglFX#C};G(eUFSDh9uhwkP4J-8;Tdnm1ZP8odnmd
z^jl@)JV96d)`ia!(2Qz6>B7gKpj(%9*B`RqD{))s4*GP+(GW*(SxZVc)Eky4s7ZG3
zpgsd{kXU?r?x24i^zW0f#&VJk1F3+FPC{!>)pC-cXw(4>5TR^FXr<#mj?}TsNtKt=
z##jsh^+Pas!1={}=qTar*U;y$Ag4L{O@wA9dOrtBs0f|c)D#e=)n=nA*0`KT^gcNv
z#Y(&3B^=aNr`{em!eB65UasNJzFrNt4ZxX3gZ=DamH<u`=)s|Qa)qo^-E>SJXJdN2
z?3gwKLeep%6l94Firdh|q{^wzYRj>=p??A3W!mz;;S=44PEQVP$)^B%YR(Cf!Q^xE
z3KZ5?!W~Cf!T;)#?^ZZ^88>K*aLdHK$sM&uqe|ONR!3*P7z320_OVDnoLZBKpr%I^
z-DavH*=U8vI1ii5`>@*tsIOXsO(yV*-#5;$F{eExQb?+MN~UB}BB4xqBPow;<|n*l
z=T}>QCF>^dewz1{EYt=e-*fb0c)SD7OKQ(4SRlI~RaMvI!!S?SOH*d2(|Y_{x<6rp
zz6pf$UplgXC=q7WQ1+CUA3&wNX?r^^_8B3L+W~k7mJB2OqS`ddz20=Q8@Xgz<!rfG
z?#KLqsZ2lB4;LHVWjKL-<k>+{;AXkYq3?`d_TkzsL)Cohe_->H633-(R?QI0R$f++
zi~Ow<%uD@fvk&5C8gIUov^)JB*i+JY2Nr_CFAjp4PURQJMlQl>87;b1z3M)%4&j6h
zk(P1d7j2xm?(TS<QOg*M9oc>$Krm#{XfuxA;qN;K17;48;zoGBTq`yVgR{K!Ye73B
zyxg~-f5baxZ;qdz#K9QWbNr+hcDN>=@k3G~$BzMM;8U5!tfU%W7IXYkogRH3rT;4U
zWncFWUNiU{vVUcy_ciE0Bmc9g5*L}+Fp%Od`g6d_8u?|HI4we%=*Q-S{FtwE<vi9i
z3vO;Sf*N;T@RkU0(I}6L3>MhIEtJssf>Jw0lg|L+n2EOFKbJK(=k~<TeM^y$yOEFU
zDM|3VqzDp4+<Gron&nKoY6*VNBbo>*psXpCuM?i;gtHLhbt7O>^Q%S-B4RpSU(n8B
z5kDvQ(ADtvkAS1Ixqi=vwj9|V_(>&GQ)y~Ba7k+0LUspW!dNK1&1lR}<BDX#Wd@$-
zcZh&<7gep7LV13Np<y>}Xk}9(CbP1c!HZ*M(^76<e$tRqBPmb`gp1j0DuvBRfmpma
zFb2ywAw2KtS}N+#d#ZCQJ>>_+9w0=UwNvbl1T4Z%=tcf$bsFKBpf(5=;b^$!VLNUe
zpeoZ)WdH@*W?3eDjRYy_4e&KD`CDR=eD~MG5LBvmQ<s}SMBc|w5jwzp$tDKiC$*au
zG0(e<#@sL~%rhe3+(lL9iCzPR^Ja4X5|nl0hL}epCc``#yf~Q0QttQ~(2=B#WGz|;
zb~MK^o*f??GjADo^foC{3!asuRlX*TN;2mP<por9)sCP0U(lS&G;ZQWB=EK9uVSS!
zI$a4`Ge3{Z2*c^)&KXSG_liJ5OTgbIRQMt02u6qtA=p2|d<j@sU(MNHc;w^;`i}+7
z{I&mnBcN|45{9wFWH!3ZgoI};_%$#t7TtcvCGbSiZF+J<w|Tg?Y-IaR*nLy2w`+ry
ztp-yI0jyRuyN!LLq<nl^g5!*DpPP2P0yjl`J>mD4n9i20TOl-7JD}Jp>P~U?_-rq{
zSB92P@<=?7WZf?oG?E=um(4&R{3`vWl+&ccuLttVCntnQ9|4Ka$y)1U9@68krX-pL
zc9b_dYHpT;v_;GPOA{%AqMNW8BmTeJm|_M?8p^ePuPEW~>9hec4)v8jkXLyJ;@DVx
zCsfKC_7D9X*aM5a1520<zo;~+j5~FWvSCMytMs7Jl3S;!Cfw>oZ%-2fjUMe0M}`Ww
zauKZe8^C(UY|Sb@pD2sLG#eF0cTa5CAmznguUyIEcng*{{Lz2A+DK-d<csV6DxpJN
zY;a#)`7uABb~5E1WKl6CrLlpJ-}85)%vDaJQ+g_k6j<11*+ZFAGr#PI){7Ji?;^T1
z-p#c#@i#^-gKNqFk$Yw0pZ$I3n68zDhZ%v5WquJJw()dYIjX>Do~rP0s!G9!z{H(%
z-x#3a>W}jow??iN|7Q2CuqS;mTp(Qw$8-uF%Dk8AHoEFkApe=@O8lotSUS2EVPXkF
zm-EWLH3M|oxVs@n1MbF6)JWFd7@JJ<Jm`|S8_&llayRJ7;cjqnSCUL~9H}QwZd#p;
znp;a})acMS-45<&dF=YbHoIOKCp}hi@A`azfA56=uQ2D;#2V{it-DMxnNT-hOL`;|
z|G1YJ{dVk8SvPs_xtL;O;={1BugZaK)Ar6?N3+M%j)at$R$l27(vnEEITj9kJcLSl
z?eWw84(#fbcVN-!_(hdwiamawNy0SxiW#ECWoayFSV})*G;FB-9IDqi*OYaV&q#V}
z2BB`t@mKwT+7Ze-$XbpTN9Du*4vJ%f`Y4MCx3%~gKb&4fSSSloq)}EbYw?RlErV>z
z0Fm2T{A+*TIVNgl)*>US)Zn9)D7#nbXJ{~fJ_hkh=?QMUQ3x)0(&g2r8GV*?e0%d)
z#==l6kL5x?Bqj1#7=Q*om01+-G`ik3n0ud5Cd#7gohr`gJ|r1S9*flQHfc#8^=Y`l
zJNP_#ET*(9a8}hp=sd^Rg_mL*ev0JiHbBW5c`29s?Jt?h!e)j1fy11qt^PnoaR{Er
zwsk@>3t|qp6_Adn?EGM{-(9BM7P@*MSZbXLJDBzYYEOC&<r|Qs5Z!}hFcZBhH#MMh
zhR0m34+D;7<OCnwQ<DDDE`mw1RMx^uvz)gb=`RZ9yeu^agUS(M_EU-r5{N-cbXy|s
zJb*QRovf_O^{S=G!#wIMNjl^WJd%5~>caGKsFlrlc^KY;=Cm!^<0nnC8)lH6@v;R`
zBJ>aYp+o&nqd8p#sj?3}W1jQ!7=h<5s)pYR<-GhNH0;I>E!#8HXruI=ZS|2d1LXMk
zqBf0~Ta$@CU8dhp7C>zDK`5LzAL27mwgh6|1Gm|@;+tP8GeAk$nWT#hT|1I4Eam13
za=PSzq-af04`%<V@^$4dJuqfck+JxyI|{#?tL}?bbk))tCNI;)ikrC+T%Ojj87t+N
z)qAqaU5F;zr*xWZUtuaPE&?+pKwJnle8!eC6*#s+Q{g29aW9q7zap*HUx^1Ig&8GL
zoee}XVc^MoKw-fGkvGG@SRj&~9D&Fc<~<y3hV9;pLXQ+1PE#IkEFFMENLCPb%$U7=
zWcsf16(kD0IyV&yHwY62UMXuOzj!Xj4;j`eYMAB-Y+-L%Y?b|xOingbOODDG!1G5`
zQ;bASY{rOK7TUyaYfE3>RZ_GJE5Wf-<c;2;sfLznJ*g|^D~oSD0{#0$A15y1XWB53
z3ajW9(ApaLnHQRVCJ_xtW?Be4mx-M`tULKUkM()4dKm~N*hxRA_gf2LP;0|h^x6XC
z5vQ)NbZ>K&m8=wf2w|9sev^YDl#N%XlP7!5WA`^w>}JnrUNvLr(?t*`jG<3rrCBa}
z#yhTx0Lh$sk>+^*NfAiM#Q6f$@bS4~;vmF1O`QLfqg9^cDW*tJT`Dy!2C`Ud6<i|`
zm^E?6uC@LEU}PrFllVkyt@N}uCeAA;)w{|MjR@$T$}(pTz~N!tUf7S%LSpBk(pHWJ
zjMLmnKJql%3ia_<i5epzHSSp!o;B5lQ6G$rN;5UjrUbTS5~uP;N>DOJE}8{~&XsGR
z8fNFqTI&_rslB!{i%YO>jJG<{o+*c4+=5F{7hQ$T(A1|>r<~BXH<_HLP_eO~a=o{A
z)yT3>S=w(ZwW96N=o;BNV~AH6J?oHb$rjqhr^9LsDM8%pc=%t)Qi%T(<qZP1tF_f<
z8?j)A;;CADsALS4s43|+I*Q=UL`QNH4bBGy{G**%gXI+6CWq*?u7sWw7=cD4iKnE7
z3bMlV+%_SnMxjc!(NAsx)mDd2nWk&t6KOhna%egZ@Jh0ZZs!xSDr)XUD^qiD`sd`)
zcvQpbH~<s)54b%<5!AlJdG=b>1v^i)q@H+~lYlUI+=QSCowKr5^8R(AlmSbILqEx=
zLPYVzPsw7WM-w^H;wmA<QuKCg##9Ly`IWu1ye~r~{Ia)qmACA(llGhPX%s`FYorof
z1S)jFdLkB50;l){Se1af2z&u(0k$-U2N@7$Ne9^aO_EvkIQB6UeKhx6b4k9gSdXyz
z?^A59p#%H}MGz?*;Ll;DS<Wxx9pGJJ)kc>g=4(00iTMR4{HsOaB=`7BP$Q>%jN{4a
z9)C7RtK2;n6DYJrDpfr0vEU(zUYC39H5;~EF3g4rd?K@fo*ZVwO4k73nh18P-(YpT
z<6BCb4Jjl}(;@lLxvz!QVT|*OFEtGvwQ_l<_zIvL)z->q?99ko>k`eWM?7s{5!_+*
zl@wNF_{_;s7dL!Tj70~q8N={V@2Q!fOTG=W=LO!rU1pE1*Hl177eS+IWcK*TRhT~O
zjYCOcKZ8$%)%;O>;7g<re1;#)V;)EADIw`Dx*NNL<-y$3&n=<oVywY@+B+r4ZtjL^
z!lxA@1mz@2H6@z7KJ7Ae%6!@mK9O>wCx>$40I$TSy{8X(V0}1Wlq`_djpQCJt*fj+
zxz*Ok&V9Az7|}QlcD1R&9PN}>W^dtyE^IM3xvRe68)U6yog+WhYZtk33o6d>RZ1Pw
zcJGpCDX#5Olt%BwW(;kYBl7z`Z|^RBXX`f=UC~cLqidw^auT;tee0OeNDDr~r^l)V
z)gVBHt3ghWjiB3az?Ewd5v~vWeK<CpM}}o&Ab$l(uF+=@nwjX+xoJiy$=6{GrX)Wp
zN2Dn6pSWufE)LstNElq7)(JXc$j{Y-t8@D`$ZbDTTL|Ig{8OzOo+;L<E5YoNwbOC^
zF&ozx%8m<9oKMG<GJ?l56%z}}UvjQqF;77In*cFW{(p^6r2Og0rTp1MtVH=A9f)nR
zD?6G;9?DbRJ53>RtNHgl&1&9y4!a8YIBkBNsm;^Mm20oP|8%Xt1ZUyj+&Sw${eC*F
zB4WPkE6E3>j(+520)Hymld^8IKJcC%fWK42B|}qs{Eg*nMc=Kq>Dp@rZt+pa>E0_q
z{3#19y1nGxueJxO!j6XYRQ*Xd<)Sn3Q}6JZ-VPlbdU;pMj>mb?%f@+QMA!Q}u<v-}
z9ay$q;ujS`%6K;eX)`dg`GWLKANk9SmUL9B_KYiC(AbkkedOD>`V#0n6C<^6g=DDE
z1-=TLu$yt0-!5CTmK}k(%P-}?XeVL<rOOHvFkic3jIJyJb2;DeMFOS`11X-P?}Lb1
zBhxe!ic!Qaw@3M;kZJe-xUjUEc8YB@cPAYBfh#*{eq+#D#5ZSy@C@$NVmteoT#)u%
z(Q1;7qIcnh&qTkFd)|eW_m4OtX63zuSI)45Lbp&&ghB)^z#5Wdn@*Y%3h`v>e+ar{
zw$N|k6WK!a<g$erxS16Jl?_u6n>8k%nhz0A8Nfv!fXg<M3Cg{<B_7~s2HPhjZ1iNp
z*4!a{>a>SS^99MCIwXJ{Xm@Lk1M%Vk+RzF8@auut*8sl;@nXQf)|$_PUGw`+(*Dxv
z<_sK3P8z7WAEs!NZ(fqgL3h}%hok0xoY{@ZF7859`TL`AsvmPI;MkB(I69ha15%IS
zG~dA}Ils}Z4`aCGY7RCEcH*$p7$uXhr0kQ?V<W!1d-u@<PPywq;%?mSL;Wd;`h<hH
zw%mgs+gUf*_Wkg4n*SX3+wf~=+^ts^YW4f^D|9!3HzJ)KC3_aT-MG_@L*?V)jmgeI
zSdTIGd<M=RULL`lU2wcft5>aemzSaH0Gga(Z{UtDdQ&~!iks~0Nw{bUdgK-GFiLu{
zqaXIV{kTe3n2ru_N~W8Tge-neB<BNH##I<iJRGENCmP|xa0%Mm1twbua0Mm$VQm@S
zOreJp;-E%vNp`h5y<uDpJN0e@N{y1KA<X#m4h&lGe3|~S8ut6$ezjTaG}>Vw@Qk3=
z<59A^JB;;KCa9HBGHZM>nuxvy^qK5p?WQn@+L!4cjLOM*IEDcrstG7+!<a^x^wwD#
z)|NuRcmsZK3Ol3Zf__*B|Fqf&dq5x14PI$=G?}F9UlB)Btwyy6*WR?wfMuWTstx0A
zHGP$AY5`I0Yz&usRY`b&SbEU{n(KFJZESEiy#efY1~~octKJ|SHoDa_%Sck^g=czQ
zh-RuaiAw5m^;B!nVkEk|+Gq_h&m0EQS%k?rnrsye(cGWxfWZua1!{4t+ktO8d9mtZ
zs||xYIZF286LbPMp<@}CVQj4dQ@*`lJ1u_#iJp&K1(efS0zz!JmRs@Y_6>je{fT5(
zFYHwTEg?Ac-~dB6JMazp7|0$;(2V2WVE*92)2C0*_0Gbvr=7WOf9YT&JarIC4i1iz
zi?9ZP0yU~}xC|2&!^CWZ_Xn<i_HzKUyZVcDqZ@pac5|8NChm5D(OY4>NZmB!<u-IN
z71tJkiyCorba-1b3pBZ0mFy|OuMT=hA#Y928=URLwKLUbYpL0W|ABtDw7W?9I|gv&
zTwHza5cqlkh`NA&v!B&=w_f9@oki&gL4vT)_zkd3D1_Sg4|~wXE)Ys_D+c^CIq+7X
zo^HL>Sp*sof?*Ge3OHO#FLz$Jybv~kSI<IU%`l9iwTtQ?YVWUxa3xc_3KszMLy`<{
zNj8U_QzK9)$u=e;fG2^xFkAryA6H}W)j|+CKn&+YM?fwyNJ=1uMz}bD3p$fM+FLwt
zm0m+@i}J@LvPFa5Z^f7FIr=Q>mEVOwgJcR{<FSZXh&~)0G_Qm!<>)(Tm=`psl1T<k
zDw6r#py}OnFCa5X)rQGLYXHh+^cGZ$`vXw+v&o}Rvww{<52R3QRO3Z<-x(xZp?wA8
z1bqjt)5+#y^rxEvJ72{=hcFNDF#fr968;>)KkwcOf8L9KUN{ARZoxm_!av``Ki@bX
z{yc$y@CM2VZ>gj^Pv~YCI^K?swWK2?=#&lG<U<?HC<Qjc^jyk(iZCmS76T((Fr+YP
zgrQWjO38K~COcJ5p=sV(Z-FjBI)SNYZ%`nLa*UqTH>?~`8F1F}LbolMkBVMsyp*M<
zv=*mCuT*J|);{RAevHcWBC{?2WkWIz;=0})qA(sM+w0wS8#n;Q04jUyE&TmsK%Z|M
z9S4B}rY&Aq2YdvY0y_i>-8DEn0P!T=W-0Y1c~s2BcXdF9LkE!PiWd%mIKjT8E$sX*
zja~|U+=C?TbkkK%K)dKgU?aa0YIsel32r28PWTz36E8h}{1^;b*jUjE(Q<@iqQH(i
zyd4?q1VS;R->3AKw}2@H7r?<S>FqW-190UgY=7vtKz6H+0p79zp20NPfOEkeLvRm3
zUt!%KU4owrjzOV*0BUd0(zi|pwSG819l(FfAd;C5+E35KX~HA`ZM+{6$(KP0f_Q{W
z8Cws8)x|nhYye<jW$>5K`>FlZHz=L`LAMu!LVF;DiyT4f)!;%1wu(qDekD4FJX(c6
zsrf6cTw%{9J4m5})<XTsgwf|^CM)3+B)}A)a4)n20zjS7WRJ841Yr?<Z<nu0W^d=W
Vo`PgqLUBFaK!b(rb|zQm{y$PBgMR=3

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.labelers.character_level_cnn_model.doctree b/docs/0.10.5/doctrees/dataprofiler.labelers.character_level_cnn_model.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..07f756cee5b39b41f0616eb5f27aa7e2282f5aa7
GIT binary patch
literal 99846
zcmdsg36xw%b*M+u%xFf7<xO73vY))sGNX}=v9Tw%F~~N?vScIMV7@HcJ>75A{oK>t
z^rD5BV8SP{lSc@+F^0nu5|W?5!NBJeK4JMu3?w<>Lm&|15OM+mvKa^@BtL|}zxUSi
zs_Io$zt_`4H1atfy?(EjTet3Bx2hf-f5X^GV<+K%@yVT5wbnQ~SE^JR%}Utm$LlN2
za&IYYbo-C=cf7Ly@_r$nYL||5n!R>8?8hfTiE_18ue8HP|6o7fjK#aPdS{N;pX`L?
zZmrpn)vM#xiR$FRexW)Qk9TX`dZ>Jg&)!`vwM*r0*bZ(B4~O+&ccT&P1yJgJtORw|
z-4z~1V0=Yi-6u$)tJC6%RtaG1_N%AFQ$;zL>e_gMk6~ZDu3l?|{e8WKQaoMicH6au
zUKhrWV_jRTbZ}gg<$9^pftT<+-Y6}xr}dRyEBUcdD&OA@7qLt)p6r$m;irD}<myay
zWA)tX+UmCWzFl{B!ggoZ-WUD1XIyi|u2#Dlb#_%s-4Z-4*6Lw<7eLtA#URr@%+*T^
zAr$D$l?8^1b;MAy+-MY+5JPkA4h-|WJ!^Uk)sy1!TB8ykRdCDDUOgX%RoxD#yb%7s
z82*16{J#T-2v};@XkdkSU8_`U_v2?l!@YX=Q-KO&22lF(RjlUDycMex`?~#7uln@r
zP6cmoABeZbu+;6f!{S1_)F@Xq)a??e+vP@G>)1SE9uUwt6f_rej~CEB256s(r-0l_
zhuWo9RY84R*xhV&OSMKP;B*u$HroM$Lp=oqA#^>*sC;XV3JI<6282C_5!$}$c}ULA
z$wvG>8|ZOW;8oB8;CGIRAR$AX<I{<Gq64S}ITPQx&;wCb43`!v#Y&CjQmK8cup=nc
z8UZ8NyfeR}AK#Rd#^<b1^sSW7CKA|r9Z2J{LQ+DAo&+Knz7#t(5I4vHN||`p+EW1~
z4a%nZ00@3Zu=Dx=kwK(afUY)DgQx;fehIN(9gi=|J5WK*`70(=Jpt2ScT;sC-T*`2
z*#a4l(8ik(cw#d89cm(O>gZB^zSAn9=2{O`Ko%bk`^XFt^s>l>^aqb~VdJ77WO<mr
zDVjcW?#{51f|wx3SA7;<>6?Z1I16kF)*}FE>{lPCz8q2giUifwpCLH~K%YuLqwHJ?
zLHXBfpvn}=+oX{!gIZ9&tTdnkk~UEX@=DRf&w9~=KuPjK$HLp)Scu0O{gO&>INZ0w
zaNk4|b2^O?J8$(G<!-NJ*hTT!yyzUB^j_cR>$R2c^>N<o)_5#1ntGGkRP}8_qQ+}M
z7zoU6Y=w;q2+iVAFlZFKavNeRE3AX~M{2un)dS{ZxL9c}fi~>NYg)&^@PHTHV=dsx
zabny)73r4Rhr({3^#p45*gO-^{a91(nT(P3P@6Tq52xf0069;j)Z@EcQx`hbj3DVZ
zLW7T_8dQucQSfz8kc*jw_L;nGhakNh9R=AS^MzQh{-KyAIRosYJ_Y}le+sH!O7LHO
zQo}s!K}CJ_D<C#gsQl+FBmZt{<O*63me3jnYa5uOA5WtwX)Z+IIP`V-Jux&1RG+L)
z#OoJ(^*S+r^;Jj*mFhN}g*{^cTM1D|Y|5si3<jI(^$3%rP`yD+MZ9M}%~?<i8oi~~
zu>kCfu!3wu`V^cVFfM|{c5{h+2~flYM{3<_@Vt8Sh2hS6?fwuA!KG4H8h#^fQ&LBC
z0XTTonJB=2$Q8+IA+B0wh_f1P<Ku;ior<RyYav*FhHl{u1<ojaR`^etShA+6Gp6ql
z`l=%YxB5zA9~zp8eku>@qifiFU4{QJB0WhR!$PxiECs1Tna>p3EGRG&Z)b2v3Fxld
z47$}&B}eo_>dg{TEsX)S<mP$}ba1I&gt|?5uPEX~E0R0D6?lpple(6P?#evecmq1k
zt*~5Mtd;u@sq!W|8(J|$PPCt)W*__mDA^jX2?|Ev_(`Sml=M6)-Xew=F14zqPEC`$
zi6*oux~O3^@78r7WTH9)w?^Q)i>B2gq9r`qs@KZ3ZvSDIl#W`^aI^q_9*WBNh$xFH
z@JFb+NMdSi#~?&)jmLwpJ@|-WGEfT|Lbt{jWS}R>0GUbykC+pus0brkf#UnwP-71a
z)Te%M2A&UPpeXWEZ^7GS^h{Rt@(iu+Vnv07scvHu)!+UMRbtA9@io}&dX+--Dky}y
z3T#9SoEa*Rn@+6MB&bO;ouUs?CA2V=-;<3divm52_$tyAVlaxsI-EOQJrLhsZbP^w
zEFP*i4~InzV=UK)eokK3G6jLxf4)!XY$4M_@gjbHs-;2$f&)vP`JmS5&IT+NS41&4
zAKc!;DJj(tfMh%vTo>$XHbQcs@qx?F`(@Ml-CizK^H-FtM!M$nNM=qoU#K3b9@VHy
zn5W<cN1u^(<M$u$j&N$~ApD6=@Pl#+PO%ihIP%um@<m7DS0y5Bwo;)QS6^dABKWro
z5~IJyW(ca+OQ`1ZQ5Ywz$7KBtN`3w@@#7}gM|uzA6hHOB{hN1iRjV%){WDYo?7mmR
z;dWS~@ijgYtbQcrY=OrrI!HUM^hKp;)o%qhWrIySNo(<&KJpnqV2abGs$`FwM181M
zi`7et&V+tbn#zY~T`j0#1;MW1c1GV}bCS@;_JIN`MKK$cDuQgZcRB{I_hZmLrg<8E
zHrlz(-+`TWcn22R!7mQl*`x_{j+itVtrx`%T3Rq#&Su_uXesGvFhRW}h0z0I^2QDr
zfcE@=+A+#INTY-7W1S{m<?mn!uEJ>4Fh~I5&IJ6}K?4bo`eF1T!Qe$Ni909|1m{Wd
zDKZ4uY=MW>ZMIeCYV0}*`*jBF@AJYQk2O;v!02(TG86gv0-&0TCu$8^0ag6Gb<&^#
z6~cb#6aGm*KoDqMEcNQ$;^9)g7wW*pr*(R*R<qqLc9u%*?n`@3Tx~@YHF`pY*+9BN
zLummxxGaR;>}vUYQk^M-P7}Qi3E%J{K^569T@tSa3tkU+vW^Cm{#T*%ltQr}2_kRS
zfhQ=7{s@!^3&BOF!DDnf{LyTi=qz}XKk$lCx9A*f@o(S{`XCT;;}#LcXZ{#oqiF6e
zMCZbzm<eH}C!w~zH(_jz#m#8lw39^JIxNP<lo$)LL7anGK|u>vbj!6?sUDP@OD(X{
z8{Li!wvD(|$sy5(wZwZ<_>a>LSLp+BgA1~&(&VP8oZw>xiIPm)>1^6ybroWy;Srh~
ziGBOW1c~P`B%YNQiP4!@<Gej<f$$TkqRUbQ7G0ToRfy)5cd;7I<7!2HC1EA6Yc>y{
zBEq)=D@mRJhK_Dk0AP#&B6`CDgs#J`J$Q+!G*cMXEJECFNzo|0dNLoka;|{&?k@PP
zJA<2R;LT$AdI2(SAn(D#E)dLK>fkpSImBQgi+C2II~8c9ufb7ecRluGMw1%W8i!gk
ztR-TA&x4mhZ?+g9eo|S_i~&YVD&S<pbEqvo!+l0$ZaWW^7?1cJB;eddRh7UN!ZJqu
z7NB7#YH)EYl6Xl){8DIfMEoq}=9fV$l2PL2w8BTGPHUpX%zP#$QD>qX2TTLb*mH4y
zXQF3Q(P%gPqiZ5XqU~0Er6jn1TeD27xyUBXcI^;xm0S+$VBCEXvf3clUTGd_Fh4_Q
z9nIh3l&HOvC?r|)CWJVXW^q!AV4^qBsI5$dpVVFkFcF&Uf{E~12l;WMF*j!@O!RI7
z&RtYxqNoRjX*D53*!+D^)`=QoB8it26Q$7NU?NMoxtx?DQ5ff~3G{6CKbTowKLFh+
zX7M%|T?fqp9P=4k<w1H>hh{|Fu#-fP{*nx>@*usi0z}~34>b$YN5VFh+SwAS?*R<1
zP<`}a&@e=k(eL2XN$cRxN95B-;c3KS`4{XKsiBlR3#qevF)uVIQ0@bSvxi7-yE$)Q
z-VVdC(fNJ$<_eTBSzIc$T40OJ(|Y@CATxm=b}u3}2QY_1hU%H*1xNg3a>PrGMzfnr
z!<k^{5~57}l&nYscm`%u6^(8Y#humYY^*U8ogpj6zkR&N*X_vXLH6Tdo#Rr8OM8gk
zx6YBwL$m{%F%}NCy2j3eORmp4kz73hKHn086~1H%;i};{fHOc6E<VlD4lk4}DQwaT
z3C1wq>O<e>9lB$I;Z~>w_I#!VhI{=T*rR#8151bwzo`7IEHLCv!;0EQTW;B)nlGNP
zaK=oms6qHMy0Zr>87AC{Pz|x&OwCpkqS-!B(xymgI;kS)M}4Ie&l~&*w2$a@49ZNz
z^K1SN?8L)6un-S^aS+dDT@i7-q{E9z<X=a{hmEF<$yMTg8EGl$XmE(}gDI4{ml!_n
z2h@&I-a#52jN)}v{Dr@V{HVyvR%tZ27a6|g2hxWIgBiV4?jS-4AH5gC!oquvJu3?1
z<2udigcW@RnlaaC#gc-b5delys4yr|b^B7nnSMzA#Drw<`T+ybz^6hVY2h}wEUq7%
zAtyJn8IqdO7WllfVf1<E0RtNtMrT$F#a>V4a19Kj?|yCxHnGhIEE{_MKD%+h0EPIL
zGAw^r8*;Tv3-yq^iTk(++Zs>u#u7h2c?HP2)|l2Lco1K^?EWF*ImuJ_lz3<KJnWNM
zXjcp|wqzt^<L@y>ptA^UlB4W+7Q2JI=$$OZTw6Fnhxz%~%uI9>{Nr1%i6<yAzC28V
zyOL8My%73IvIS*My(PGKq||QoA7*KTS3@m|uSQ5?q)S8w{!o}iD*Xdk&{(}b4sjL|
z@ql;)uG>Trlw+CX(KYx;Yg$U!@Z#OLf0TCpb&;JgNxZCY{|no4Wh7&1sUD*a_Bj*1
zly@!S96G@oaTHo_TIJJY#q}A_Z`8WAQoZ)FFxb6sAKN}GaqIY+;PPh~E+5Q`%jgwY
zgDpE*;W}M`D{M8()nct8!Lol$p!#J7)h`VT)i{tx0+nSktT5u$uwTsssaOqrJ64ja
z4LHxT8Wvp-K{sLHuobR?KW2ZO=Dr363<=Td7sQV`Z0{|F=wX4Y)(*l(8KPzt%>E1y
z!G>$5@APQB;reowW4x7<N6O@5nem~9rFF54+JvXSe;Ar`EPdf8%^NYyYklcU@ovF9
zqa8;&;GZ{|^9mKQ`1M%=&s|h?R&p(VeE}NwB8X!55<98beF`~_*uACP#o5S3VlU2E
z0XWm_Eio!x%UZuZ0KrHqd|B%QRMg8N_h1G{;-M=nA~&v=>UCNHhLCH!3CqNg|E&aE
znP#ho)38GeP9g~Q_Bvh2xS&n%xV&5>7VOLgw*!;4gI2TCsewhQwgAU8%&*RX==|lE
z&j*E@_V2%a|E?=`1a~)J{RuX&kqoIo!U;u~=ax!G;lzf<p>B0Hz-LtdMG`h(41g+_
z#f5g<n;ybr2b5QFu{>P?TsM1|hK?@)p@(M)osf<`8#EyseF@&Tp(;<eA~f41mKto~
z;!1rbiI!y5h6!DQxcS)2ib7URLURsTg`Y+!s{*4rH{i%0e4&0Df#)u&%BtvZftj+d
zF<t--dl5vkN@6D^t5V2u$f{JiB;lj+ljUEcJXlKpNp~yBH+n8oz)W;Q9zq}so?CBI
zP+8y;XcjYX>do@~MaoiCTuo+pC>DP76XtKg@=vnM1jBbT4Bt5{hBp9)?|{laUl_S_
zAL~a<hVW?ytHyO18rM{#w@I;x{k{wemoH+Y6+6Ib6pPqzVY+!>BHAR|YApAe%HMKc
zNN_)tXHtaG{c5Z<!01*8-51Z}slqVBZ^{D+FyKt|XohLy2u6r=A=p2|JWJpjm<vr8
z4RzWKY>%t9!<Y7IaJ)znbaPXzQiD;Y9Q2go+=4m#5@aBcsDiU+?j22=b5@A;MSJN!
z3QnxvXLw=NWLMp+9d=hg5V9*MySC17fWsntj;}f=eAY{U{@q)DEbGRfUY!=H3(vU7
z9i0OKJ~4Cgx`k$wovl{D6tH=7>+fGlT(BkfB#O&5AUKWGgpU4i8r8B{SH2}s>O@_#
ziqJP!HiuK-5)=m+RS33ELKsOI$&5!|LC7t5x~mQQ7`Wv;30ptuw?60}XC8Eh?h}y}
zeG1xLnRNxi8D;3l`8XEw42uva9Dh*I_Ye6zT9;FthryuD!c)gY1E5tUIVJPS&N`u^
zZ>FRy*SC4I+_4KL!GECKu?z8ua>wY&%pGH*dAYl~%N<NG$72SC%EDdUqfsyc9P3nV
zRzPFjGnxkHQot@lTODv{t5hFm-Wev{v%TOCP!1YC&tl~8pt&pjK`C)hNwq4(isg$g
zV6Fu+P%RW)s`{1M)v|8<hpSYnSrBJztlpuK?|k5%ABOWJr6p(0f|4I(gnhFFgYT4+
zVM|<dWJlc&m9l0>mHZvp(-3$EmfQmTq7t4m`f~>0xL~swu#U0Vdc^2Lr)_oZN{z?(
zEC%W%v&GO!Vb`7O@(X@g?bziV7{Pcjx-8piAM<yhq%veg2KBKFT(}cn-t7m~iwg^-
zA(k{sQ}VeU5Q1{-0fTrxX4Eo>XBZ%W)6!FATOawXzwi8Wl}=0Yn!0%i_iKJwy?9Dv
z!$P?K<nJIqGL}iWYi0vMH2A2i)3xh$TFXN<7Hp)?nmEPZ!4TNMK30T{FY<%xqYT}$
z^(rr;sDc1BC2J25kuN$Z%3?}ZV%9{rBJGhuu#7F;xA^g(K<tvd(Z4{#8hsQAH0d4P
zUWUFAK*%zD+}Ld!euCua3P8z<dya*y)-#>7i>YgDrpVX2k_!y0ucaQgxb4ocOAC-}
zB~dIm;<3%J;3$}UKq<-pQ3L0BCaPziZuEF@hxUnNJkt!+I0|3}(p#iQofY!RJopv?
z>Yu?%l4^iAELkB+fchDl6QHbR(|cHZrA<R(M>Ek6k&m&Nc?h%q(afV$mjw?&tt9mh
z!w5Xb<Mr^tv2Kc=G&9N2N0GL@d0>vmyN%`yO{hpc1dp$q{w9IvE~*O1Tsa=^frh;Z
zq7a|NPHNpWg&fDasioXG9vYFtBleX7p<=e12xM0_$7=_m60y$LK9CuFkxeYhk1_md
zDmpl?OD-mf@TOR7k|U<YrEfxWD$TiP9%0}onEnk`%Fesl7MK1l4<xj>^e==8Kg1lt
z2yre1d#5+zi%UYvip3LuB_2l<%26WFvIX^b0o-_kh1YCBMEuTzh})+`5Rsl%CW!cw
zP6>{L>^9*D#m@aJ5kI_hRPjRv&SiuSuW=baO7oC#*lxk`yUBeE@^mG2)oY`QI$_Z0
zFLj2ThY58vq(2;Zm8=^-v0B4{3X1uj)MS6;Miu7_nMtrO{ZWnQP4cQ@3gmAc`!A3f
z%n`%e3zf3Q@QVHp>@FGaz!F)(FDkVtF+6gzN%$LPggrXdGg@+sRn-LWgzEA+`7b3L
z8lBpAOEGM?Wv%ce@g&9P+nQA@A5j*)&V+lSTM!w`^*Z0SY>Y13>wI&@;iK1S8-9Z1
z=yGUk#l6l8GYDSkaI#4vcjpR@>VXdDC3k{+364~okfusb0-oZ6T8$mye<Z9Osw!uR
zWi2j+Nc0JWWG4E34v?@648m3@5X>raK~E5YP1EszlId7^@AFG}P%SLjFJPr@oX_`w
z^!9t7ySesA4hMo4kPX~~yCBdA0E!CRVQ{S33yzc;5YlJ{sP`$fA;`?;j!G>gjC7%;
zBtemp{#526svg$IpqAAI{X6*Ja6$2trcVsrp}U}oim@(uj7{r}d6_^spg$tu+(lLG
zlgj~J3($DcLk_6KP09gHp~m5WTFO0R2x^fO5D!xuM34zbBFkM4>o*3VUU68Fe=_=0
zpQEB9b6Bs<MO55jy#^~~XZLIl>)t$&ki&W_)bIs?6$B&1xe)A~Ug59`!7S90zY=#?
zg>sb$v^cC=0bHNMir<;TdIX;+>xG_H#$jE=+fRykOV6lXR(6b#OnkX}M2@Qt?=oE1
zmpd#dy@Ry#I+}5C9j7HDZX}d3jLCI7{iT$3r0sqgC`8pkZe75wcX0|+EGx#JT&3=>
zK252c4>p_MS@Nv;TF2+xC0cAgtv{lWpfq|LHe;mbq<wDXK$-N%Asq4#dVzPWOTHf}
zWp&7(@ONN$$ax1AhaA7C#5=r0{-n{8n+;TxXk-rg7YT<(r*?;&VZ*IUgp-X9`Fm{5
zD(;Xdiw?P!_>yJdk)2|POk~)(5F;5?^ExxG*`U*hfnWs_8E17=U}jE0_)*3g#F&C@
z1`|4oejb`y@tDHJnKYt^Dx5f)gFNwv0mCSc1_nk7w}Hi^1xDzOLw9H-dj-h=(GDd3
zndoVmc|Zh5P8fAglX4LsKTOKXhexi>gKQBVxdtn3<0^k}c;u%1;Sn@sl<)`=+cE+q
zFUUMdH3G05YFPs$d*Op4K!Tq%{cb3ZTmh0rqcOKKK+lk`(3c4~cTrVu<O+~fp<yq2
zC_o}{lM0ZeP~!-YSjs(fV1UF%FH*3?!_@~-WWtgtCs&Z<)&b~OeRwMBZBnf2UqwYn
z79@EGG^bLjn_3WD9wd1iR?5!w*@7hhGY=#bBzZ5P!VfWD)klak21yu#{d2)r^@VuO
z6(kXgRwB?6B>8Co*B2zg?<`32m-s|M5_(#hAW0E6v%=;ezUHwK%ldbXCaM4%9~D5C
z5gc)BzSY|YMC`ntE`ekUN!h}>$pD0T-^N=hl_;3;eV9o%C;FZ5@5;LICst`Z!$6o3
zK3G%OK{$49zf--z1RK%XjeykUF3+BdjbyrQLDi_Lf4%JG+06igFCHw0kFJz$_=z}+
zo&s7~aaZahhbyJeG8*le5X@$YEZ%Q(N*?HjoWCDgoeV=Rm$Z~lnG!s(oaDmjYMf_S
z-p)MT2tOtTpC~*>GjIhTzSZX#nccA`50Zu5aSK+G<N^%gUyIFVcifu?60$p93^jbr
zs2Fw#aYno2rVOoeyF*M-F1tf;mPBCM?qE)UC!6r+07hna{5(F9-9b+)V|U!WSnIBY
zwQ=i+tPKEf88*fb9WoLJO{atw5zP7EM)>=jcDr<JHh}9C&6mLgWP$M8sAq$PQWuVv
z#Ph=F25b4Aj+|t-TFZA@raZewBiX_%OKCEDKERV0;M>imdM5;k!uCS51AXz=crF5&
zMcrPj9@6z2vjHx$bvdAT&KX?Ek+PW95;B>cM9)$#lXdhfKyPjx?6;2IBJ0M#vr4Ta
zLXKe*eQZ?|2`7LgEAtHNaCougGK%S>7_$hs#_B7bYCa@q-nO9SSQGjHRLZ(0^htjQ
z_BA2ifn`kyzo=BMtO-p?F~EjxM3Z0{LMfqR;mby=ZjaezzgC~5FJecV(o^QefG-hN
zjjrvhL<~QP$!Z2zgt3dOMDL|$m9@m}17&22q}Gcnf}oNYIwF7MN2Gl;KVT3l8=2=t
zKX8G%-oeIA`urQ{vXc|<z(P*=#X(M6Bsp=p%(0S#tS;~an}3077_vGKfS>^En7O?d
zzi5M3X289b{2HTHrWx=90pO*v%4}18_V@Vv&VbNm`<ZMc2J3n0+Cg?;n`ga>qUs&C
z_bLiM=>rV;uA+FEACe)iqF?|T_*5p+E6TRoZMl^Enoi0I$)di}iR=;Y7#%9{wNNRm
zN_>aE1G^049axA7zi4cnm;%YQt!e(UT;uv7qa}m2m08KC2C0wC3h)DjL!(nWYx%K}
zgSEck9kQ3T2Eve!wZ7?xWC+$`01nAor>5PZ6kAQOGJ>VVPo159>>Zbbo&JMJA=^b~
zn>Oq8ZxE23op=WpcET^CVW$iIfUPt;oe$lof-rV=@?#?hJKf+NvX`9(!jO-h_WL0j
zf}I$EL$cFFSt1E31{-3F{r%o?JJ{_IkxDjpJLd1e&ThN|3%lVL2fJ;?I7kw1;n+!Q
zGTWg;uQi%AghGDa%X#R~FQzc+J}v84{jl0G$~#D7gEo@rBKUp&4)P---+sgtF1&{h
zJ>ds7FE-ML4t>tw!4TNUb?8tE8)NRX!@lkZ)rSj1PTA$YpDlC9{U3S(^~(K$Fyxc_
zn@`r|iO%@Z5OSXZXy8+!60e6c<B1KY#l2Qom{s02@uzu*>k#)BLZz(E%9Z{O>?FuL
zu!wv7;t==ANz1lqfaMJ3Jw{vlR1b3^V!kt!pGRmkdbKl}A0asyt?C`Km(d2opfTDw
zEnf&4<iB*a@-jaxL$DeHaY$A>-L}$_;;~6yN{meY*2ngUcWe&6dMyz|HZ$rS{toPX
z#XGR@6@D2NUwz1E%b;*Y^kobKFwV{%2Ou;Wz1sQ8kB}UE^#$*ky?iwg292-Qspq7#
zA3EiI(+|lIT*Uy)!&QUJ;+~RZ)i8P-<LE{f(fQdHIMWvFI8`(P|KnS90yoGbKT+~t
zGE?Ok0H7;Pw?%)JA6Pqc^A6JZu=zKa_<P8Yj-38Y3L9RV{u)2DIq@-0tK|lLJkQ@n
zeuVH|^3sPzHY2Vy*_>&e<t0WfgW$b5a{!Tfou%dPI|DM8z0Q)4z+UAC*o&-e4EH*J
z4;fHmED<l4;XH2RJN>ZwurXNjV*;g3@+UQ;H-a`;@dV0q+{r;=0~%LLl(hFIzS0Xe
z!MSjkqquDVQfDBeMm<M$_g#4ZFr`hFd+jz{PsmTVIZ}heN#J(IfbuKwf?~`*3QCO%
zW*ybwN3GeQcQUndByCCaAo?WE>rC{7e|i;C6zP|%JE@1}?|1p2Vg6Qrqt~D3!LZ1^
z{32G`CTI?91xxN_{=0dfpJej{g}WO-Vh8Ztez@hbHP@(=FzXHP(%1?2?eJ@}i7I;?
zxLp&D&Y{|jfSD_#-_xrm2Jv%q)K`-9D8uZZGh;>F`t)(AW!)L}9ryqm2`*I%3WhSr
zPnyOwWOSsR-a1Zb5e^;yrGviy6um)1nd&Sfc885arPKn7QdISRa_tVAhK9W;qTOK(
zKl)I|+&1U-VTQ=(z>D5>bWa4Q4)#Mw?lXqzc~=hPM%$op)=Nd731x>vuGfUUb(leB
zLGN_J$by8`S30T>3<JeIP$?@N=R)<tp;7HIUOK}Jks})H-W`KPiDM@vwxEfet?~B3
zB2~^#mcpRA&0Z3t$xPv6s(U7Siln4pUh&I1|DK9^@3D^W6q$T}W%5GZpb3OJ;f4-7
zjg52**g-bMk|YRn!I8X>I3uO<j?B~TWomIG_*;qAtx5$yX*2AVdKr|;ZyOEzCy8%4
z{r~~!E~+Y(T+H~tp<yqINU1RVXi6oz5XZst%0a*A)AN~O#>gkZi{F7-<*$b6`O8pg
zMMT|SL&HO1H}-0ke;sC!S<tJh5MkIUibkL0$y0UCa8oC4+~I`04l1n(s;8jgp->(5
z5SyHk4;qAg{xD<Yn6{`D{GtgHhgz|e+nG<e%BhNTRs?lp_C8qMycx#jn^h!$9O~w#
zB=IsRz%n^`DtB|=q!M<+_EN18294g*LfFRbiJj6C?275Y6@fumDp%QN9h-tt^EU;7
zC!HCSe_Q6s_Y$5^GPe-vTa^rc(&)k~1e5$sIP^1}sZcT+%fy#2A>iCahgL9UXxNJ$
zQZN!XDN8Jc8VAc*%3YqHWD>R+qB5|K3B_R6xoH66bF$8@TE>_#*Dxh&miDtTuOBXJ
z=>$}=L+*YxthIx%QHD!@DtOOkcqnYMOVO8qd&`?LlcSeR1Q)%5@MYy9{FI%GGMH+Q
z8x6YIL(y>WCIH<<hvuaBLBn1Y5hpSHWH;45HOv_KBzUD1i&S$VYg>%^vtfGv)0M*R
zpAU;&zp3`^VFsBAz4EdP;04>Rmmd$)^AAUc-qcb~G<Mps^y{<G&V*J~rgt-*!lN9)
z77Go(sLcU#$Ahmu_=vd+%2Mv)Y*IB*F&Qg>S}}VYtX5t>U?Ov>mAzVySx~@~C$h?J
zu9ptc3I5V5gM-*%xucCQsgiz_M0>i?gw5T!dZNdajeIpOH;lIucN7G;G4s@W#ir0K
zH$Zca$TEJ?sKPJ#C?QNpK1&MPi;d<o(d-KeJa^Hd^~wQg*oz?2D-t^?3oV5l2g_K>
zT{#^2NHU0rYyeowgk~^HT{mC?a<bHOc}iJUW@@#;Fbg`}Qn%L$n(e^BM=~>w)1Uk;
zkw(1py38c#B@MwluOZx6tup*HLf-ieqd7N2DDwW-2t0Sup?T*wp<yqAh<7A*QoNHw
zj)QkB<u3E`j*VI*1;qL50>_vz4Ca_$7=ZQ^$9S8Ju3HO~G!uO@Lu{KLPlt=E8IOti
zJPU(gnO^0O=9PDG##{ZK%0;I9{J+1)N(0t{l^Z#?R$)mOE<k~UKrYAs;W)Wgv(2<C
zu%hd8LI$o9faL$o13#VK^MeeN&8G#&IpS&Az%Ew|y2o0fSP;|R$x)N|n>k$<N^a4B
zG|H#vEUc7$dd|AbJgP-Mqs6cx(9)zDMilC@%%Bb{#YDe@1=%dXLMBow;*Vc^QXWQU
z^8s%*s=4Q3=)tjWbBql`?>e<)7@Re`@ZOal9q)J9!?P#(Vcf{TMSJDPlzYZtUD!Wi
zUcExnYX=N#Pz0MxFBAj0q?fmMaWRa@RLXVsm`G2PQYn4*7+VeWoISP;V)yLqvEPD$
zv9rhMX=TnHdvU8BB3Z4(`D6PqiK*3YF4pQ{dye9p5XYP=S4-_u8CDI7_3&_5FP0mP
zBD>$*kqpQ|T*et>pYpd{KtSgMmYCIoT)+}Q*=&b%i|x`<ICmp_y&0co;cm0!V<&9a
z!p_{C^be$R^_E)4WHy)Wgt9B1F&lKM%_GHfv$0sKK!7)dlgiK`&2Z2d@jf}~%K594
z5;bhWO#asS@Athz!hfpR$7S94<E!*kF^MGOWU;p$-_y>*GRm1x`$rEi?;|;EWF7V)
zEH?H-r==$)J>)oR?2AwdRGN}9?>-#rZ~YzE^PYJJmXvw?qFF-8SZ^C8!*fhptVovF
zsAKUz4XCmiTIyN5Mj|?2KFPe%;onm;;!aB3a)ypV16ccv@D9@Wm{Db@Az%%=;XHrG
zjx0_Omb`rrk2`O6$mRY)<iy_DD)uxDWZ>@E{%-T*&eQV>VQ#;F2stsgNmI}Uw(j$H
zl^<J1Z^L8Amt^S&+J_&*2Db0ZWJ1*_s-QyMGygdzPm*&kPfzkV#0jleJR_xUawUMg
z&OcuJAYKENvZ|i9`#Z2Bly_iJJ^00;dXk)xw1BkakbKZ+$&kRxoTz@eM-WmUnThiK
zghQiKFS;Gr$g!9A^WGtQ_wxE@1Ypqi@~+`ziP3U+)b;e&{ZI_CkCy>ABvYN|cOO#h
zwZ$wiEW7jvecb=)9k*lW{J#^KWV7-%Y}I+gATB$r@eVA+g<l-3mit7C?S9bmGh5D`
z^V^{RRP4jfZGMF0;I`|%WA<{}Ko~S`%Wxva9e!Ab;5i23kUTfi6Dexmu{roEB!bAs
zS4aFE*!hZgVBstLGAh1$jnS6D@+;0)4-*=VUhRD4M@SC7dY5<1UcMR#gT_|_Po(&$
zACe)siUF91s|J_F6Dg92Q}ie3CL1SGuy8ajr>AWv+oHyoy(1sygdvK>WwxHaWTQKU
z+Jza7d$Mg~Pp}q!81S*;d$P~-2TSF?Y&JQxulFN3Pg!o&Ja2!m!FOWgmg_@swGEHX
z!JgQT+;Tmrm^4<Ru`{9Pndrxv=NJ|c=`x$uAIv1o|Bw$HWYWs-s6HK$o#}=sWtsLA
zth9}@vg7K^{5z_5VVqLrQ}eylS^%EX;kx0`E+kO5de$7bfw9hAna8Ux`27H;#JX4d
z>ChZ4*QWPM<0lof=HY2k-o4T{8Vwq1PZ2*jReU$la|l3pQPsK3wO9IPXxNJ)%FAK+
z(T3{X)^>21G4e?;REO4SJaAjv(l9+oIj|eO7z$_IEZu~%Lt)pSEB)$W2AKuDMr@2{
z#u;y=h^GXRM~8vs5vY`Mq!h|m$vGFo9~&0o-py@~4>LxNZ!q1>J=6F_6Df{dHcPo_
zMQ+M@fcs|@X*v^`^%671wF|m1U_MY1@oi}rQ&Ime==mhVm~2b4ZbHNJUZ^l`PLm5<
zM#gilP~?{l<ho_1moY`Y=9g%=7=cQiqJf{ZY4l32B(7-Pi}p`OV{Wh&t?(@Z&Ruk9
zHu@ek>_rc01&Ny!g{M&Cpm0mMOES_)Lj755fH7+JH<&ZNFaX6lIpaDr?1x9oh>ZYn
z3P3wJQfhQNis>CFDG4l!sBZ^I#|ydCPJfUnBf(ubODA798F?u|Fv>;H9GOtoT_E^X
z<CU%Pj_kvhfaj?M({1)Tc)GXKDBP&XIo<!Ysq6a<q`QZeX@>WS8BU8r{G?5<R}?C7
zUr2UTw|%_fyRSZp{;Q4?jUF=Eb&o)iiWP#>U36%vSc8VWm?Eht(Ug*kDJ(gpqNQB^
zJoJQT^4A5{F<}_YI(r77J;gfSCPfbW1sUWoPd7w&He<TsW-1zuDu?|&xyY0!Nxus#
z4e-8|9QI2vIWM5RJViTn=zKg=MS!`IwRl1%S!)1sd_2#1DQom28Hj^VBjRPm)2QXQ
zbM>gblUN|B^Ot#sCvx7O#7fzxGk2`?yP1I+R=)AP^T87CTQoy%0SlZ?ll~8b%SC+B
z5qr5N-7h@&HN_$Xmn&6RL`>ymT2h562H;5*#_udu_@cAniLNQ8rxi*ShNC`8wR-1x
zP8H@LI#Y#LZ4Rp(7_ElfXP$f-iWhOg5xq|)Z|C)N^aM{9cu>}ylzs4IV)0v-Th{}v
zsaBZIq5fpzd0F=anTXd*?5!#6V96EdzZ_1Y-455mTnPUw(I&CXgG*cq9-`Y2CFT-W
za+rW&;^Mv?`l!#z0f|>@Qmz7pDz?@9pw#&Qyr0agTrUC;e8Dy`d|c(S4L=dJ(KDf`
z|FTssLG-9zDj=QN{Los<vpAMvt;K)(aN!Qx9E@S7b_m84INJel7b8&ko^5y#={VUd
z$a#-miO|eMui!ul?W41!N`OpZZi}wM8t2i79*`qaY`|yT$mBdMoRsUmN*Hu{OG_o(
z*VuxM8%ubyKxdXLLfX<1z&Q&oI6zP?-VI$p8QW{w*j_X2*wzAKlCdSEW%49?3p22t
z6pD+<l~bNp$ZW~OqmbVT@G^z`>-a<pnVuX9nNJ1uRGkxo1Z+bTzb+{fPr_N&xbLKo
z2VNhD50omEBF)1}sO38_SUQ3oJQ7H!VrFuy>QQWWI24;~yFh4|hdudi*k=QTS}ei#
z8u-PpeuhmpC^}(b(4hdQWK)7Kl{b<&$$0;`mooiI@ONb0_?^ecj+%v1C*)hOo(qqA
z;oPbEoPrEv-^?Z15X}vYBqew{smH%1dojl8o4`B&rQ`gI5^q)|XV2vM98}7h{`)un
z4(z#8yaP+_6n;?+CFPcTx_XcJJgwg?SO5LH(UM!nyVSd}TO{Arf8Qq@8lC#k?H0Jg
z3cx$<|1UMG>~A{9&9o_cndD^!#mL_}&76CVJ_nfwaTZj{N;8-GJFwFX@4!Mc_{Bjp
z(}^VG*vLdXHyAA%7|386E{k@qWw^8q6~AahRd$EDFRp))QOg*P9p8Q+V5-xYv{~6T
zf8QBUxoj(&jl|$DJ1hE$EJqIG&v}RK&0!n}gPy~fxIK0^=P^GdL*y_r01bR96PcD*
zgUh0Wm+1KD(<r=`>)?IJJ95>^cWHoSlimjagscvpZTJb|q7MQ}R@}i02HA@;k&(?1
zIYb}A$;y(*7(Ay^2}<nHPJU)5yGe%Z7})ME6w}~>Qe#D5!C9V(zMOfoxl6Zd>`21#
zpY!4UL{b+2DGx41l>J*+X&dL<k)<qNO{5VNK#x;$Vk11l>1QFti-^GB=GVPIe1Os$
zIV~}DuP?}Fu$MQ?Fj^iQ8Bl}qe+FZ>W-m@cbD%11IV$)`Q{{#}jkN5=#Q23A6+niu
z<ti{5Gc>#+oY8ydnTy*9ICoK1D(1>uyZ{>ZqK8&vC2mryu_@FzR%0#Yc4Q|IDMI2L
zl|a&%y(Ti+5-Fk8mUROVjdQ|txW=fcKZmQ#&G>{X7?Z$hmDSQ=c0&agVW%M@m(&`S
z@Muu#1dDL!-cqmLt?i^L(@>=Y1?py5CW(z?FX=AubvpT5Vv^ka7sC)#!gdpwmqtYP
z%H4z!D+}Q#wI|ag&Ba0uqcJzw3Jcv&z`2X6EEHV{g|nuowxFyRJ;Xv1Hz^iMp~k^N
zmU8=7fSM$Q#4FJ{Fr_(;!A!Y-z|^If(%Ym+iue&|0-wQ$t@4FcRG1kTR{w#Djw~tS
zf5FgIzH!qpg3FU4-j9_A=yxR`&U`^GDGbMuFO$HueKHRuBujrk!?bY(BgDB7?4M!2
zaxE+|VIlY{@j$sSktG7tfpR7uJc05nVK^*M{vCXxKsh}*0_8k9JZzA>1pADN<$9?z
z%C&21FM#EcYO}JVACD?jE<tsM%8zSnUjcv6O7$LxgC?6O5Q>Wp(Ek+2r^r2?D0x6e
zsSonlJ~xriS(jW28gHcPY=Q#ej_EI@EGKP0b#7K!!ovd5+0Y-b{<y5Ts^%tH`k#_G
z7kE<M=tw$Cj@1^0_pf{;c#6)%W{h=(la2Xiuq5jT*6#%+tUjGIAjYA-(g!l<9f)Hq
z_N7oMYiRgde+TwZCGWrzFU2parc=h9cvObt1*WFO!`g4O<kp$0&8KDyEGs0uk8o&o
zYL8(uY`E2u8lJnv)~w<!in17<vl8O>#1d@0)hA?3%N$cO=$KobyncGrNM@a6&c`@H
z=ui(0a3ApXOMY1Gl*&6uQ{0r4&W30I7JoO&TxFy?rKe@!1y<Wx!c*$p()aoS_Tt6D
z!H6-9gEOso{GL(EV4Puq$h_k5r~bY(%-FKS&Wy|kivY|kvaxkiGx{;un*U{C=S0JT
zBZ8SltHxBIpzRt?3D(>v#aBA{d9bCw(_0`-45y<C-b%ff(lYu1Ha!#lzs$6T2z)lU
zA7fa9B{F?qf@iRYLZavZavw&F1{yh&8cF*w1CxDD-X?sQE%-z}3_Uq~7!K}ol6~$&
zB1)35RwCo)?h$4D=#V;nnZap4`#oNQf(m*p;z0oO0scJzfo0(wsEI$;V{|v0&@z2s
zzLq3Q-og%;byb?{gy%PeFP3%V-#U&{fK0R)_WFexkZ#)Wnd@kFebSMTC)3I+eO_*m
zxV1Sb4!izZsFc;N-{<eZu8?^L7OMcisC1;*^;=9zrqLH{7ATf9%&m&iuuh;^){G4^
zpB;;k+0wc%g;Tc$dc+T_9jCm5v;}JMd0y@BKv5GJZBOcB8Mts;osaoJ_2R-pUx+1*
zzA{;z?=or`#4`*KnXS%``uol>SIf3K8EGZ9BQ1y7eN;bZ=g6~p(mQN#p3OiQ^5xn5
zqaTtX@@yD@20oRE6wW#31zruk`_>&qS#;zRMH)Q|fj0AOq`J4sO!}xRkLmMtW--WK
zfjFa>U_0<K%ZUl-Kg-zB+p&#3!Eh7+K33e@xj2(`CNpi=9FaqD0jDvmLs3vXimUlm
zLZtxb3-?cu>Zff8!D73)l<cPn4%H5a4NS`cZ75xj;Tw>&5nYCKF%!*YCJ*kTtS<A8
zCg$mUj6ad|oZWd4DwgkVz)IUV!#mP*6au;>F%^TtZNfL86da@zgQDo3Ox$4s*#|mx
zSrZ9VJCui!)K`*%$Yr=E^Jvxe@*PminvruCd;q0t%gDh`n$kCnq)5xiS%+8=mNomK
z1HNQ5=N60TWb>Syh`@6fRV8SyoSY^!>_reI6fo>)1NELJ_H)CGkxzjayGeB38jXK+
zn0_D0f!pY3p>Wn@jmMzuaJco|3jFvmW0d5b$_PnOw<9COQf@9M%S%3p^VS4)VfLSB
zXIFaF3kJ+9vKLPYKq;6pCEz+LI<lOLujHCdo^$aRSSh>EJ~gfEg@CesN~X#76{h0b
zd0?jOjDIAgxy6?<6*#tBQ{g29aRr%B#JRFFgjpp~osMiWdEm*;KzYHkGtN36o+z?O
zPmajuGP5)8t%mj12xFNPdQK8E_KYZ^iBK*hj_I<L`QWuZiP7@%7%qodQ<cA)hPf*x
z@)&l?it*cz<FF)~33Bz46oz%|EsNZ;A5tig@pXe7oGmWskJl!MiJpzk7=h4Sd;hI%
zC2P-0vYBC3;6k%y@Bh8tab*efEjwCr4}g%>YqbqO5r<I$np$zMb;jYf5(%N_hRbuS
zfCI>1yOhuWKu7w*TR?)rIRu?@yS5Mpr8;cnFD*d6bmC7-pE*-m$zRc{5QdrPl^hhI
zvD|_Okqk?Cs|LwGlOQ>L%=X9(t4H(TPk6(RV5MzbE)DjE75S2qCrL8v|HuOgnM?14
z8a^4Im`ez8Msw+xGqlQ+S;Z6y;!A{z#n=`L!Gd`t0@LQwz=hz?0gTLC`aC|7xkOJZ
zV=l4N9*X?bjezbhUH%abaN1k56}G#_AeHs55m`)>d@lfXnojX2jt^6#ocCH<V|Zi}
zc+Ri5$f0zMX25_c==R@~m>QYHs=Sdhm~5P<fB=WG{Qgc>JfWr|F%LJT(G2#K@m5FX
ze@L9<Hy9IqMnAx2kT~>NRgUJ{8c)nqaNAhGoeGvcn@R79IE=mq5Use4m5tnmv2~)z
z0J6xw!3oD|ktu=c%lXQN5aqD6K~&n|8;Wafw(Sjeg&r=|drCId5H%%jM;9Ym%|sVw
zrY>%*MPDaMrXdEr@*s`R^Q{C%K+Q^aNC*=3bAhSZ^+MM5L)CMMJ`9I6Mf1=pQ?x&Y
zPo!w+$)RXDz{|<Fx`$853TWBAqtvn;r+VeV8INMx=2J}2@Uk@0U74xOh(+8XE5;vN
z%?1J>kSv2l6-_Xj65&koQ!*%N^0FL$e&v&(E?U55EXoI?;1U3qF=r^BmwEwEnbSFO
zN$&}-M|+^%6<0n3NLpx}RZmzXi}&)GvZ@<(CH*weH*8@OPaq^Jln%f3n<UBTHQ2{Y
z^oyB^g6oXc&%1=;hY}R8p!@$Td9W+o|F>eLZJgBxyZ@WT`j;+*%-3?}WAh78!Ta;T
zNx^}~p~fInfiG*}crpeD-khOT9vl!8m@7CS7)zqp6&&zdEnfyGnbq=__(WC<Jvpov
zuCRyQ>v}KTY{EhWot20UykJCDO9G|Sa*2O$mFj(UY^3`=#@BX-@ujx0ECcLcf#`+`
z34BjhJaHx>F~X(|1Vb=DeI?}|8DrzyeK_<l9VKXt)?qVgV@$oXX?z|II588sPxE%~
zF~w|sE2h{}FvBZuie(^hVUC>;{7&}5cR24@O)@0{aJGy99OXwrnTIKRN=O=wb|Hbx
zL_0IniSX#Zjc~FZRG0F~gVZ$l=*0*@H%hWjNGq#He<O6tbmL9<M7oil9J(=L058X*
zKh%cIzBZh9O9qgLPOpTjymv&Z(h9I!Ykqo_YE8#52Px25hXQppw=7*+%*<ehPkcaD
zj8DYrN!02YZnT4jb$peAjFfFd;wpdSBf)dDgw3RtZHBP>16}|;>ekkKA`_##q1_c%
zxB1vXXx<ZzC`k$5!{^begw?o6foow-yOp5XuD~6M5RNbR+HE**pNHjTuq1m0N!rn4
z2+d6NXlCLPI{HOegX!o;<cJg-;>x=_;bN~&=i$L+hmD{ShWsE&xUaQcf;|(rl@`K!
zCpcUy;qiI3va*seWbI^Jzrn`!&SA%eS2ZN#O4!A-XfGxfY!Auhdc`cO2_FH7neFjW
zd?MR}o?NyEn~3Gu9`|;{{_Rm7L?w@)8kKLJK<TzJe*O5cGORZjsPGRmAFg(o4@nz^
zOE10uNU41Y?vi*;<Cy#Qi0Pz?h^(uxB*&1F`!g@Q_&v(c%ewKZnuX-9q)i%18McyR
zo-AJr(R<e@Cwr~A^iqLheAH3<Er}kR{ovh3`S(y2Hq<1yQcSR!7oCZpdWZkv?a;B|
zoOh+{#hn+ujLjP(nz{fq031p!f|o{GoqaDZ@4&Jl7{92^DdSxW6wbg%=bq9xedOo+
z0n5KzlKRNJS#k!tPr0l1O}Y#lx{|P1a#h@a`VFE21Ifx*xNTp>{ig{pMqfv?lDJt$
zGVd+R#^|z>d2h5~)iQkCf@&Lng5>DafRYurcwGS|MI3W8mroHHho9w4U^NaE>uT;!
zIL`)`%aSD7phj1C9Sg#vxP6fAIc0)ET8Me8Nxq62NC7iZJu@K)JMl9_e>Aunubg5I
zWg4NHNP-l&0DDRjaWacaEXT8F<W<lmv!?z#K9My=PcCbUfty-UQJGQ!@l-r$kwjp$
z10Rvk3=pHg9fxgh<Fxz3mOX->8HBHs5Ym$gVRfSrv`G(z>b3FNWsxDclP<{JS#C6T
z(mig_9lz{PDa3Elg+lDIw|=SmG&uBO$3fZ+Jzbpvflec;&VqTr#y3~-M5oznm&1N_
z7H4}b-pn17B7eUR4!dNo3LJsc2>biu^+5hzI1anhk58#I%e^jK+&KsPSsUH3QR&AM
zFQkN`{v&;U=-tWtVmR`#0U6=lW*h2HLGUW<bW2Mu__2X?gKggrKd1T6Ub_yzHg%ij
z;zFr>KYoSo#_@u(WBvHl#b&eHXm&&8<DRj2QztBUG5CHI4)9*;!<)@;R8Or{EH{^y
zplS!2oMCU^>O6W=JW}gc+4-$-?-}&SE8u~y^kQQ>Y&F~6B27zw&zg9;3fb-A=XiVy
zaB8;*qv`fK$=mTtxX?QU?QI70t^v4$678_G1aGF$Zwhfx{fFYswMMJgEryM9vjV01
z@l>z7xby0rof<r!tA8wp?RK+Wtd<&;de{a$BdFzWKR&tH>*}qHQ!D*=oAJeHBKlpR
z)_5~(H-SOaK3D%>RF1dc7&?HcDxjziW9nnhW8+W{j>H9wSK#-Wu+fiCYlmg<dW)5?
z1@r;k;0<&8;t9I*8F4gKs}x)9aItn2e1dp$sn=~5lUMPY8W7c{N^hxEl!OO}r5CWE
z5w;tpIyQJRy#eetIyn8wt5zrMRhq@4OGr{%!lSJwglN^8L?z{J@o=qEV<dWVu~O^c
z1_l^NV-Y4}Upy%oqB<LIgu!%x1xnpovjN{W@nXfrS{(*=upe*5C+MUDdCyP=W*A$m
zz?5%jmyXDvK%%E0R{`ZT4gn$7YfH6m|JIYf`u*{Eb1Q5W0WBef3Bav}ZZ_f@a!Zgs
z;-K2?wmS2>b{#o#WUh4#4hwF~HQR@FRl>u&pk!xPKRyF%5GYWi*bSFpqPj3K>*4**
zi!Xa7V0LqRv21jMZ<21#72R~3O<?p|*j=P<s@<hJbTQQ}EdUo)y4C)k_3<{K$)%!X
zPYHgp(?SY)INs7Z*65aw7OS;G)jIqS^t-O!MAF~bftw(^#h3PguRDOK)95$*S*$n9
zC63x{QdTm411u8?q4xc~7Id*0gi^QG1^hEP@GwwMvs`N|0u2bka4L!lI7?11w<TO!
z2rIy=$Dprj7<QqxGs^X5>HcE41osmc;U0~4NRr{9cx~7?+y`9|uV*3xcoN79gCIcg
z-C`H~x)4MT5W^|Z5s*t4BqfkSC0y+EUk*Y{dy6L#(`#sLQT~`fwy4niNqotkqc@|L
zc_aMk#8dbh&j`gr^kHA8x*hI`rSG6`uB}eR6AYL{B#(oq2;u7FD#&ZemQpojJYMU7
z2I@bAs&egxpcs#vEj1<qfF5L53_?B}8YwVpx@V_)u(}xi(HP+BGx%o<X!qz0{PU>^
z`18m3=ZZ=Ab2a|Cd<y<tg@1m28vexi=cx_w=ezjljT_<5Tky|^PlrDr$3J+NEZsLt
zmk!arOmq$;ofS!Eq|iAkwC^m!y=jyk9bx`9rK&}kOc&uwX@sk(6vT}%&`ZWG8Nj`G
zlgdj(2%E|^&^Aa(KpgB1icC?CQJngQl><5i-dkE|)+KvV(bJ8Wvh<YJ;*{u>DxIpe
z58AKYMRj|I*%tqDQalX;z1-}fxbDXr%FTKmcm&1(N_}!SfBy(j@T>d#K_r1ejJHMt
zr-3fP4uOU@caC*HfQh$hTE0P^v3us-4UqEC0c1DhogN@?urFyrJHJa)nF1-7A<?^i
zW8L7TT%?^)!)t7fb2DNsKi4-NziI#e+hNGU3X5KWmL{Br2A0;I4aj;=M<`|@?Ubdj
z?gnG41lk35+SSR0fO~RblTEt@(p_~Y@FElNFs9j+z`@=gI2EALux^lKDa-}8L!ov6
zim_AEckKnGb~ryBz<*01w3(KgrDtS9X}EyCo`r1&OCTmefWj52wU>p(#WGc_0AOH;
z@R!j0;aTb%)Y5FwY;{59y)1-lRY5M6;La7ccuJ9iLUaT2=pFDUF_(ooEG*u5BdL7Q
zYp7wFxO!rZm^s2HNQEgt;Uu&JAsBT=<5Q)*AP9@-dxLyUQhfuzt{BwNAr$D-6*OtM
K_GhwY?*9Wy{L`@j

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.labelers.classification_report_utils.doctree b/docs/0.10.5/doctrees/dataprofiler.labelers.classification_report_utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..8aa6f44e222734106218abcbfff90507398e46c3
GIT binary patch
literal 83964
zcmeHw3z!^Nb*5!$G@6$6vSr!v_)#{C)e`fNWFBU08H|jLF&4xRZ0smKHQhDSUFzv>
z_e0VIJ2r%5?R*7EpdH%*n}lq##0haW2^$Cri9-^?K0e51m&bw=uwh9y2@3@BCE4(?
z|GAH<dv8_UsxHmgG7BFbbyeNRIp?0&z4zR6?;Cq?-D&GiqyGildYyWsbz;V?)mrVE
z*Bb_#YVGP^*=zNO?;7rT%kZ9IIhg3W$9wHTx9Sap(@>&XZ!~LNuQfa}47O77exuo&
z5%tG=UbWw7x5Dc6vHHgP_>p0`J`s%d8~vuId<rHHHQipXvDm1(RLi-^>$JOl=T>TR
zNYzkl!!6zk0>@tX$A=7Bbaz&;vEu^1{;<9yn5cvZ)z=3b1s;ck4b4W&8y+4kxIxM7
z_q&aSK_B=NzUv#c9^p1#CD`y1zsFkcGXJ%yHt0kT3vTsj*IT4AgJ8VxF43o9eOrC9
zen$QL`uh3>!NTmVJ+IrFz45j?4!r!b*-p3Z_hxHu-^H)RM$_xg0>a)bhfMo0({vX+
z6zI(`NJ1)Ax{OK{PWWyQh+cTZ>4Sy(X~9^dRr5|L6z0UQUj)SJ7lWKHz<)2qf4lMD
z9zqgy>NXf^<zPd{ZFGmh%a_}=LDRd!QK8HQ%rLl|*PR}{YJKD3{?HxNUsRt~sP~JR
z)LZo2{-Ens7P@Y$TGt3TD+xGjBVcD`jz$1vXe~MI#R6D^{OdseiC_YZ=Pq^KPF)#-
z;L=0wR^M&3dd}jY#iRqj+FeHnYKHUsuH3~Vjz0u~UCr6;aQ#AJ>eK-z`o02O`Mja4
z<OR@ohASkgQBrZ#nR;Un;|i@4RI2UPF|XUFe-{TmsGG{Ni%~yO>9;F49=fr-$0;{j
z4rk!exnR#Q_`#96ekKE^VWL#<L58?*fX=QetR_|MX;94gQt36IkVra|GQo`*eU^zn
zf;4kZv(f82cRQ`lOsnR0yY9*!XZkATk#TJqu$;kqBuhdnP+E`rSa4u;sz^~NQZ*8b
zjo_VTx>%Hh&7jY82d07`4z>^iOeWd0r|HRw6U)uHUdJUPxCvFD(vNvVk|rO$EDBx!
zvFCxd%4RvzAQ;dIHlXHcUX;N-a_BP4>ErYk+c<5aapHrtiGYfaPyO!tJv12iMuSoR
zQKkxk$e9cgQq9X=-|G@btNeMPo!>b^Qli3EMs0yagmD-NWyPfGW(5XGLG7JRt@ox=
zD_GYWx+?1uSsn#h9$|yJlhJ}e=#VWMFt<y^W!;?YAHVcof5X;mC*JF?i(YpH>l~x0
zN7Sb3k4eQI?1-rw1`X3M9j{e`DzBV?!=*qhJe*zR(qUkAkUydJlWrB^<9ds=_A-q0
zFgU%l0>20^`YRns`xsLRLsq2kc9*>VP;>=zzcR<o#W2`EvX&!7vNFe8KTM<aanS2y
z7^MVyeN4rp{zOQxb$5rOb+>`~GintB^^e3jgvKhZZ-De?vd56xrN|-}9e>->vFds%
zG_QXqB6$6C8mZNORD#!^N+F-8`vs53P!+;plv5y+%H$!?<XtvrN*4SX6ci>P(mLE8
zc0HKiR!`yAK*fknaYi7n?_lQk+|k!RAKmAmh<_e|X%a=D_z{<8BA9DI6AgnB>G$@6
zkE!EOH@h28LcHpqt8WZ8Ee@JZrfus#Mlx2bUqC~2!#Y6c5+RvZ<YNUL+*fD5($Or}
zUn$u?m_5XuNXK<ZWivO@;cleUX!YApzwSA3Cdt9a>(Hqmxn8Kp{2Lf8{p)j&JmE<`
z{`ZJCLSyA$E3n6KMT2qZT1I3xnSxJNZIDwxiyv;YIlI`aw!7YJsW<4bHHB(>xijeV
zWrl?nr+2jJx!qPcK&#SLG-!A5LA!m_LGy2;8W-NMJ_YC7UyARyfX6t0IgOs<_MBb^
z$S*d$niFB>VC|rNe6DmorZj^l7F1|4A<ndO;L`fsJXm&qiZO4sJ!ti59^CH^Jg4O?
zfn>+LUI{%#Wh-x<o7y+E?;g}ybelb;96_X)+t13CSaY3rufdv2Dz^WgdB<(lM2l+C
zlHTIJDHNS49d7r%Ilzn_X(^=fBVG^q)x6n8&1*N?ODoP|x4o>7bQ#w5b*o9g$oQ>t
zyI_DtgL`N(jD}0KCYvMD%u8QjJw`Kv3nqKgzsqRKa0nFZ2kqgvsWk7O`6Cx+vPRTh
zkfU${Zhi-ShHCb#2&<6QBzBvDoqQQ}%dmXgNnv?*A~Q!_1SthZ#fAxli4DDsx?<Qo
zbW+&toJtV6sD~i=`{=kp6yvz;H*tCVq;NSmO)n_;q?Z{LC#GIZoaklL8ylbBKPjB{
zkFLN%^AZ%OoInM|Av4y6g$p6A5or*`0#5`b7@KCTVoaq$6}i&SzAJhv`Xs8FGvLx2
z<osML{O=0XS0U<*@=uRM`7cuGN&hMOhkJkUVWCR}Bn$1@N(@rP%lMEoH+Ranw%}vj
zNr+D=t6)d4DmEQ6u2atOdZSurM%wA!HNdWf^c86uj!g&5XG`3GM&>RufuZq*`Xytm
zmoe;fd_|eDFioAeHXB&?aGMn@a<^Mc3bKK=$iQYJyYzQD;s0-L!UvmaUxfQ5)#3f>
z)XjetS}|sC{y+0U`ZoSyCg*ggY=|3uQl~z#N$F|9c8RFB+^M_0hBogSV?!t9T0H6K
zoqf9Ah22V?MWrYG?fAzwCyFmF5NW&<oo1uj=no%AoBI0apkaRkfA057^pnWuZ^kdV
zTHteP`8)A0G@a}2lqlktj@}H)sT9nGo){5hlB)N~mtF+>B&@^uuPD;<m8g`Lu>M{Y
zW;~aJuveq(=!89e%8`_%pE_x8D}rDi(#BQ`pcm7YUi^9yC_GeJ6EgdS$h;0aleF=R
zRj?xlk?$*lo**)s+ha6GUsQ2Gmt)S;_r1#;+k|pIWlsK|YgHd|V{poW1{G;iFw60n
z^uNjMfL%d-oyL#b^}&L*N&oY_=x150{ul6%)R)3B@xP?J3&w8}%XWej!{?C9%nkXC
zk@!)#As?Vhp&R0VL+O{pqPQNHM=MEek)!LmHFp71-TsO?(~p>uM+Wr5RgK~egqQ}!
z+rZ#FISPreYBlM96g6z>h~}qa<cXB4Jo20Q$UAK9U;0DpyO1u71O93h^nAeqU!Y1k
zIY8C*3>?D_LuaW)bm+d78#>iT8O4-po!d?7*V$lMC7O-@-)EPT<4=SfY5eU<;?odC
zFrb|1)Gy%s?Dk66uu6O_nGY&<PxUHgPEjmH^XLzAjazIy@lxYh2WQOZ?_N({GEEee
z=kZpXhxj}|Q?v>*UleO3U@aCSQNJ^&gzKk>E~53*3SU31h~?AgBsd}irsUv==f|>l
zCTeUGe%`QBbx*#y{q^9xj7G|^9&^ehbqY(ueRs}TY_{FLbI{p8vv0~_%fdai7@|E6
zw_6?x&_7c&>#VR+a}MT@_=<fFsy*en2&ZwEum;QDYqgGJalL{$DHdo4ou+puicC2(
zGc!lfK+o&b^AWUC-W?*bd&=3(d5?ZAPP6s<-Fv2-p1X_|D#yLXQoWxJDGN;Dokb3^
zI!RCaEfD5@XSse<()c-zT=8EG@mIZ5U2~S}$LlAwy)wBOiFg$M>agzjk~G{G4$MU%
z(<EyvIfKY7r`yY0Lb4@=(Ut2#{q2b)N7RWza{p#(hRN?cLx{ij|CcPX0VvlW4)Nb+
z;4cb9ksoZ&LO5Ir`xm}-XzGc({Qe>;VKGSwmq-n6@lV)0NQ{_}9mE4R*cVlLl^7S*
zUmMw_dxsrNWgka%=~gSg!v9G|QC$^TiLZM?YFv`kSBSFk7x+L$?6M<fsbUPXfr>~$
z=MTCx{|7s%l3C^h9Fklt^9S}0l37M{kiatZC52_in91hI#wP&ctB(EuFj_OlY;;Bu
zy{HShi7`0-pED8~{aLA<LJWxRX~B*#V6EMOx6yBR)#dAT2PFsKmrj6hSqTuVYsUiC
z{BKf~N#8z1Z0lfSqs0yoC}FPa;Z8|l*l!)2i4FSb>hz(|z(p6^^p#_7bKvQq1!oB-
zywY2CyZyTc*!S)YX#(JnQ>zl<g0hzB0y3=1iU!-rokoeReAE$sffeBtrEw7|<<;2x
z?HweGpXeZg<LFC@`0a@NN#QFBlEh_ERqi@Ht~1)#89>#HYofUiampqjPG2;{73G&2
zUg-a@QOiIlnfi7hFz|7LZlGC(A=({#-#K(!upZNFBc_vel&#)44u-5Ht2aBd4Ho==
zfWiq~B#SP4hZSM}yJ*G?bCk*~6NXJ_JA{E#Tex9Kr2lz4Bs=k0gCtvbaR3c^Dnn@X
z6V6SWoW^w4L|9U)E#-|asUNoDn4-Bph)Q`i*T?N0B+HKIAVGlXizdL4S3MEV*i$vu
zdK59_>nWo_L$;N{$*HPXAK9YyIZnd_6zPkGVlEx^Eu)r!M>3u5KqTs@^;i)xNVsuK
z2iWMk012s&yd*TFDOo$&8EORW^a3lcR_&AtgQlI<?U%BPU%Je`#12CNy~IH?D5;E_
zRWF^FzBCroOyi=g#4UW*F+6O=Fhwi97M1d9r600)kSr~tg9MSKFPg|kTB*df5;M4D
zYsv|BKS3>ZjTTQ{rbzW=%T$XKF#$*VqT!fJEj?h=GVn+yv>k{<wUlJP-)-+(;qNrn
z?%xZo%07mtVRCv-90fz7l68}vtwzvIAF|?W)lHc&Xu2uWbNWwqND62u4xm9#WdyAn
z>iSh%ppPlEO|ogJ(V`c+N_)mik`$HpSE!U%rG3NRL9(QY4idzjzG&heskHObcR2)o
z;!~S3R>v@8;~Vup4CSB<Z<>G_2dG3Z*=lY*de#Y>9!Ykd9m-_FiVot0NYM3Vdk3SF
zA*Tx(BZ4*R>k2!RRx(7UVm-FSq^Pjpx|CeMDxFxus%|@p4icn<NT^9kglYP5MZaOx
zGWgy~$`l|HjpBN2J{ltTW_#B~c#RH;DyKt}7fNHiW(nPVhaE;Md2$Kdd+Z$)Awn+a
zDo%v-_`fIYFxrS<Sjl9s!>;*9@H#$j1=Q+wWWu0%9hYS9pG(b>r>L%YK4-_GfXBj-
zGsZ$;Evv_}J7*k#u(y$I-lA2M^f2D)sDIOndWvWAHB{0KX!>^JY2&(*%%$!`2MOwq
zzGyl(!hTg2uXowORfaI9SE8<yXKTtc(LE@efH-~85YJ_7rj1&;sBZ@%(by!-z+PeR
zI|nI?&%ihehWsV#LOZXGpbLM<imz1{X2PK9!ps?1%MM8aeZ~Pa=&6igT%To^MKXcJ
zU=n{)i4+d5T!lcVxL=SsBYC@(Yy~#1a?eN}K+n2DO`nncydBD9-#~N_Cxoh=bj$GT
z_I{MXUlUCjBZ+l>@}wQuRU^tL?fsluM0wf{?5Yvv>-K(5EuyU7q}$P47O{Z%?6CLq
zED<Haksw?~cO=SobgaCT0z_^{V$R-o4pJ6(Bw}jFvb=Dk9ZnmKGOeXZG?QpBqssmj
zY=fLK&iGftiuwofM~me2ug04qIh-iTjDLvQd?Wgxn0#cI5fPv)amiJ9O?(B9>D4GE
zciP3VBjv2mwQumcl+=U5osr%{oE31{Ss$eMkm*g5175@O;X=}CH5Xbxf0@Q{(m!e+
zPKE7=8puQAA0!g6lskT1R0fm3Qj#Kg^iaFA!ZMB^uSrH^Z-}U#+XIQ+x{YeDbiC28
zvn(cq4)Sq%4ifT!a9-mW<@S`Rd60>-kAqayBThP02Tf!+!Dr9KQSE*M#BcO*WV=MC
zAiP>g&{G`BXq?{6$7!YLI8o}EXq^1d#JM*60G)btUqq9ruR>tiA*#2J0;xPi^^;U7
z<Sn>~Nhj$hg3Sxa|K#=4GZjqGQT__f$1f{!h2}xL+gl(4oy9A&6qq=YP<K0?Q*Kq-
zgFdnf^`@Ky`2QZ31>i=?wll3Kca5b6psYP~3LMENt2}KFai>U1R1)kga*@tBS33tz
z9Ei7p1V_k3*=e)9c*N_Bg*iw#rBR|L8!f;$<78w30&aSW7oIyLOh7;>3{Xa<T}eum
zQWD=Okx49HK~#M|@@PcaJW5eYgQy6l+TdbW_WwoUz91t;{MT~xk$O^X3AMsg^)d~?
z`|%PwYF7|XLqMN2N5Pmq=qKaH7{kalC-J1S|C2_8hU=v(R9_?=_$UJ~y{J0*;28~b
zCLQ<~8crn-r6}|{ZFDrPvylH;1VJ$ZcH%NI42jF1bmIPPk-q<W1mgOiM&Z1P2mT&q
z3lJBnFoY6~v*Y>+ogLFzg5re*_v9h&M5x?k=gJ$M$UBR`umhEB=X_NT9*M}i&~O1F
z+p;@M6+ti$k=GrN#KkY2s0WMmIk#3seZ}e%_0}Q?<{+w1unKvJQFXCMr&Uy16ILxo
zRV1>I=$R=k?kR$vpeg2~W^?pKvvnyMG7`%D_VdvVibODYe!?%zvpQyaV!fQ{0v{fU
zk3_n_hzrD&kMfA`GV=i@c$Ny;jpTtzg)?z1m^|=TR}tsLOo1f@&y)hA;+8j+;73;x
zx1CAey@Fcu_t7!Smss%6R}nKMg`hq$QLsxdGb)C8(+qxj6){{lqo9I^1el{`GxM?-
zzMeDb|5Ao~OpfL+lI586f1VZf{~i93%RT1YI=GDvayn&p#Bqv}5>RRzaU70Ks3~15
zB6Ypi5*Bx`Xv32PI7mLw8}y<DBTRMK63?|fb3oz@GV{=Asia%Hbay({#guc%jc6)m
z4oRO>9c{)x>ys<>^d}53KMSfmix(LUrh~1_0?uaurWY;jfnSV<Q^~{TkeoI;n$|hw
z%ZeZ<M!-6U+^RF2^sLO+I=Np{1e#Z`6}exVliU<PVS0EmPE7Ie63V@-s9c7$3<@^^
z)nY=Ft+&=^48Ul5>-HzHG{q0XI%S>@wB4ag%-m+AwLF$dTa>~AU87ZP4r(6qf_g2P
zKE=8CptBp9K;7;N5}#1^PpsQDx}|ov=5?LMVpt9<WE5#X<GhYic{9z|L%w>c_viu&
zENHio<)!4EVExpvP=|}Ayb~;g3at>z1#i!Bd0KF`P8oHv)M~SPu-wwJ>*FU9jmbqo
zeqR+!bl3F6p<$=h?vn<N!EwCNY?kmIYoP?+J}h1?W1$k@_UIX%yVY)6_B-QT3ow;5
z<@{(tZ>l6nN10Qr?dD*)h1#`7)$7eTuL`XMsMc&sh|u~<h2=&CDN8Gq*r?`E{Xq{u
z@U@2<=J1P=H_=GQ^UPwBB_Bh!WsBDL<yHZynot^wyBS|5E;iDq{DvYk4d;VKbLqNY
zF%$1(;H4KWY$hH;!>Pn!W`a{@1T*o0A_xllTg}8KDcjOOL@#u{_-GLbKC)IM{==Lk
zPBINK-b*nJ3FR(fropQG6hAaiX(;?yKNG>Y$oH#k-2~^%&x-?fs$!iFla!y8@HGO4
z$@W)98pCI(v<jX!`^7{rL8V6>Qd0S(0$Pha9g+WK^d#Nr;H(HwVHhGDw@Dnum#902
z-#@J$ez#u&EBJkjlx2~k0r)<_a+z?NnVJHx^M7f6p4<6|?Kkol5wRJ!Z{Doi&~!^i
zM$azIV<fBUI*xde4_b0XG-&CC0qupW2<>?mzbCX>fvr>mUfF*33e<~jxqL)F`*diS
zFnNPhrnAFv7I7RNiv>wb1>B=$kss{hpU8tgDBWzSaoH`Ow71RO@0rr|xb_CC4a}8h
z+4^ZOpEsyEsI*y*YUJg@-F9%zChi)lT~Wf}A{I-+-PVJ5hHxKYT}rjAc>KH#p0~He
zQXcZlVf%IDXk^Ve?N)Oo(NR@0SO{NLc@qvW6M}1UvsJ1`Cf(InqN$X14f>SdU1dk|
z1mFor0N-RZW|v#Bv-w5_Tzb*M&gz|LIF&TaS><%moz)G*s?ufT5Bj*=RRl>f0#=8W
z<)o0rjpwI$Ymt8MT`S_gtq^go3r0Uz1i?InJwsJGa%lCJ`VjwW5lG&@R;2zwPEse$
z2x8)$G9ySRcMi=65;SvU{esjYFhXXFx+}0VbcI6=ADP+hLg|K|qAr<c{M1OpBiw@s
z9?jWz*W9o~zz5GlXPK1WH9sFWbrJ2)jDL&}VAOwR6{*jBG3D|G+~z<tD{>{H@k*LX
zt-_S?A6F5Na&Dg>R5U^UItkRscIgfRy;XGSu0%wz^o7WwL-_5Kb0;lsI%T=@gB;M|
zqUi4B2389xEi_v;q#ryRv{&2BuU>-VM%8%`qvA%fh)A)<i8Vle9V?=Go!7(9>mG0P
zSQSM3*63>J<wgs42$Ba#Dc5PQi9<=@!N@*I;n}ou$oHAZNt}}~&Xr29hnt2Dn9s>q
zKBXroHJ^4(W9S;rlx`tk690EQbSIFzfaO*4`DpD|EQC7cmCBoGQFDr>4EO9|j=gkR
zOM*Or;gE=D#ywL!BHCGMwimEE%I=F`S3Al`=zhEJHjR6wro?4ba>*AU#qVRBDWOAJ
zz1^MIAzN^!P--Uod~stDi?)1K+ZnXv$RWzrZOu3g`C1!vr?uq1dsM6~JB?)k?jk&v
ze0?kxR~h)!yKJEl0Fv)yBPF^rQ``|+rlD^QmKU(_E^ol3XmNsq4<_R$hS?qtddY2q
zae9(7X^mY#%9h?)(Fm0*D7Ku|=%b}^w^b55mY@)Pe((Vi0-K`8J!}$Sy!pMRY$*8F
zXX0caOdBPfzVJCz5=`Nqe}?X&r@P9j-maVooQtMXCIa*+|3qLTR{_$Ql8-vz`;8{k
z0aw<pXBdd-MGH>{E<?kq1Y*+xP91$ZVD(t9FM?n~FaADUiy@dGb_LjN#XGTYQfHpN
zT`JOZ4V7$mC;#}x&N}%Gv|V5bZNa$r7Qs=7k##mVF07&yk?>iUk)JNo|JzrM#(L%<
z|D8n$?B7e_F5&_(bGQ2aMes`yk-#d5A1vOBT}C!ZZ$S=Y^g<uUKP>{m$53f?WW^ZA
zKSRR>1jQCm{g*`$%q1wo7m^enm(MzZ|4)(r|8A`a{EgKo@c0(p0H>Qk#aiYhF!TKs
z0`q5`z~>g}|7=uR6AnHP4X-i>?<;~}9s(=wt)#K~N+<KxMWDE9t;l?+2$}u2D(;GT
z<Kvr(;3ue@5bZ=?G`BQm0V`H6I;?s(W}5T!G}oM;f7WN4j3MX>`}Ke#T1nxLnAo=r
za_P%tn<U(luaeT!95<S<D-N+7M*Xsxz+KNiNkV}Lo`cR4Xr8s05}sMT0F@=9fp`<a
zHaK~WR)b>5($A~zGzytVSA%!V&r3IBetvG$Rf+lea9v`4KHtg&?ZYZ-6Z7-h>V#m~
ziC_b*uc(0<TQop<Ih|q8P)kUrP4k(4p$OwXDj9d(oFYzmz}V0?RasaE)_*sZ4#)Ol
z)PIP#jeEwUAye?jY@EE@NVD8G;sVlI4b`q-c0@=N(v4gdg!%)6&^i-<O%#@tT#&la
z`DaFBx%3x7!1ULp`B+{-IB$(iJa@$8NaDIhldq_6wx09(lfrk4E~}9)H9jOjZxshM
z?*qxg?=b?~$KrPh6Dc;<*8K;ms3vUhWF7cFi+{ohsV>w9UpOX3_^d3A3N7{?6%5j1
zAsC{77Rj|)DImu@W!|!BtFDvm6cyHa11d4@R+XIpTSUW2pFS4Va{mVPPh*YyA5k!l
zX*TcKqdk11XQ{VPR{R$d2`Bv*7?iY*jVd5SMu(BnTE!Ov!YMwAfKUfX0&*`g9-F--
z3&>h8<)=!Egeg^8L;*!wk|v?A9%V#i<k!_~Bxw6vaS5cf(8r?EvKymtkTq_XmTp{H
zo|S<B%FjjDksK`$aVPzGgT_{&Q00gSe1s9$T1CncAB$1sh&o7+qua+2p$1WsJ4(9?
zNz?bxzLaMEwi%R3lIg8_87bE3>mF|%g-4`h|0v^)6v?KKMJ0O*eDNc!al2%Hdt}M}
zo?!}5{hv=2?4Q2xVP^H7zVDG|X}dPkaqlHI!`#x~Hmkx?b=+Q5{yD~K)+$oRajqOi
z#}O}c9cQog)7*WO3mBm{jx+z(ia=)4KRaV3eY6PS;QjK#5vR=3;!@BhB60cQHv|uO
zT^!1z^Izg%9=6z(aF65l2BH<H34}&OF}=$!&gtQ}7=;8>-5x?hXm_5%eoHbrAB!CJ
zD4>F!En^|a{Xw_Iqc<p;1wjN2oOlz#7>WD#(d8&&*DHDvvJIQ*eJVH4q%L*Ko%{d7
zI0!Ns&nHBmR6S_l(GsbA1>}k8gTG=lXy;oI#``n_FuiF0eP3fQ>#Jxul{{?Up3_F(
zx6cgY{Z0`i#VA-ee%W;ug1iY=S8Uy;k5)Rxlx?2PsI(^AEZfoW=)|?|#a>zj!90ZB
zPCm7&8>G__|DcQE%Zfns;<Y0A%X5;PydHBmJtpcYyCDhX-pr%6qL{g7Q;CM-5j>}0
zz>b-e$+mo-$WUw}TE4^D)fOT><#e-wAUc>Ho~81jb7!l<%k_>-Ir1PYvxPVFgW-JU
z(o3{Y#yuHA7a4EEAz_xPom)gwwS}})N15OxS}OXK-%_2;5;2;jkwTyHRY&V>Mu)kS
z?OPZE=|u}$vY$Z1spMmpjMGlHWT!h}3Vr&iBlw;o2#OK1S}|k}6bvW{uDsD<_&^aD
z9$zaWKT(9p)*bCXDS}_(NZR6S{#)^0><(Xa>|J`RQlA*S^h^;5zKBX|;+cE}4d)S-
zBr_S)Gbv^=q1-l8zlOXX#6H2Cm@Q<RlX?chV&=r!r2iPt+VpOgwJBX^QLA6anioK(
zG|U+@KL7K)=)Yw}vvWs}-{jFGswY)N_#6_C8JRuXb@gut_lq2cOQ}-0aRkVdvPOqn
zvbR5hT2TNtPf_KR5tc94Wkj$xg@f#&Stm0xWO_w5D`|lp{y!MvL921sz^m|sF-P{4
zkR+u_*-HvEF4IsS6s?n;k2SwY*|jR{L`0E3av%@}&%>L}M;sK)0lPCjjl%(IJbt@c
z9U$X13&sbHqgZ^Jr}MMl+=cPq3tp4^fP6cutR*1}YJ2yF1G{&xQ{Kx4EFbte$9Ats
z(;2dpe~7q`-FG|@P>_4OwWI_D1Y0ziB>PW<a2gu+wId0@YpC?3|7!fh_5!t;KU)V7
zUp1F%BG}|Dcj|7h(NiJ4Wi7}h5x!~lhr*y-WhBZSF({|bqj<D3C#y<0tD05U^Iig~
zU(LqEuD?V+y{lMJot3M5_i`OlkdL!PG0w^N5>1Gc{p;~dN?K5gK#`-lk;7(;z}u)k
zZpElyz|Z5^kr%xC7KXez7m&P5U)3i4A66lIV*!rMK^TeUEu-^ncIyVs9x@QL(@bz}
zNV6oaHA$A6YhMbky@!p49S958F7Dl{n5KfPn`NEijQcx8#5m(_GoX><x><qI7>?f?
zX*dK6f0z+1jfLrJItxF~mF_1E<m{Xy*f*qC68oCu%FVtn1N(lEjf5Qt3;RB@cdzh!
z80)UC>$5jZAQ+uRwE8|#Dx8@TXWh{02p&FFA!UFX24u4WtdzlVL1;t%zC98@3Hkd5
z8}&5#qp#`m_lCWzJjxQm!>ik_L8nbSbfoMoFXS$y)BZiq)Azk=6hA!bKG-)ZA5++E
zY!I|qx!hTwCPzYBM9PI|t9g?Bf20#>almq`o6Ax8??+WP>8%GF`JG0?VBOv!O~u))
zJ)G2%M>!`L*|wH~nrtujWjP=dlYN>!k2Kj&M}pw~G@p~#F<0YKr{vPW1gSe%z@1*|
zw4-#ByfG<U98h0{>jVA~8vIHB&XIWFO}tVJoExrS(fOMe+wDG1W_v0`-u!Kiqm7PN
zYq$<_n|4>&p>NtUegpj8Mh~I<%DL^*mGyqV)0>-}^;$E>WyP6xcWIWMX2Uua9J?16
zy<Ih5;VQk169Qvw*+2zg-F~S>@GB$$TOhe>B<$N9`=j^==tkzF_H1CtO#u*`2=ByF
zko4a|uu-u5u3%~udPf8qu^xEm$8%FJ*wDg_eZvvE0DpUngKlFO92lJ`nAraqAF+G+
zh(Ta@t_X#2!AlBp9OtNu?irTr7asv$A*W6=7N5q>=`>h;I$W5T2D?s+d7dk?#w+y<
z(Fp4)qA_&qyD`9f(4QoX|FeV{^u$B>H^4fXye)0WE>`4tTQ!V2(Y_L6%9%T=60C33
z_M>N93`y4*2N0nMjPY8#$_I8oW%}rJ+l!5+*PUS^h>Q<2EUQRk5eYlki5;H#qcZ3>
znmsl?4H}<NEmQwewP4xN$H#Emd}FGNUAvzrv(FmGYxnadzDQg69kmC`JwqQMFmq4E
zg_`&sRMOPM>sAv5t`7XSDH!<wnZV>az)8~ql3I$~XP3pe{MXzhkg}fLtp6Yy4KB6I
zwj4H9o<D(lV33FLPskv9a*w|uyT~LY%#$Izi-NHf?vKhE@~V`L$>>uAt&mawm+`=4
zlj9Hxnv^gp<J|WMWrIS(I7dZQNHz~B(1C+P+4Mh%j{N^9y4K~4+DenNXXdYI^s3zk
z()>VXk9p3GUccV1@yss#z9KH&HRn*%?e#+8cCM}+V>w_-SZKbX)jp1kL6<y-T5IDP
ziWR2FuA%(vH{t*v;=#%X_U(J|o++o(nQ;yrn7)kNX>oJiZ6TG+pmbfkw$N@O^U%#$
zu1BSt-L8AwU25=AhI?@Q`0<$~UTCJ}^=Glp!D`NS1`EB}C{KFt*z$D8JzA^nd+|)C
zwwNmYmvOd049I1XY%nL`J0Rl7(*MsydDTgH`g@<SNjhoEnW0X4?9}G0Xw-vK9a6~e
zHlk}TlO*-=Nh3u&NGC1WPMTm3xiz?otU+<{R;|QlkjS(WSD&>0Fs#QTHBDVkBaD^Q
zC366o5}Fq3(zxw*+7;?@y3v|GD%IsQwZ_yX^B2jfnuaEZx|}9$Io;_@GgUdgure(b
z-n7ty(><msr+Y$EDu&@P9Y~6`4RyK(Bu_sX>2wJs4Sfit69UO}Isxf$Ad_{v1k@3L
zVpX5(bOq9w(Y%NTFJ?6PkVY0T!)U$=g2EMXRE3P@WeRPe?sFMUYD+PicR;^~zQ@>M
z%z4B4ws;C>n*KqO)k*(~+#*Yer%ttBqnVX&-A31>%+IsiJa7mYN8@3%U*s&hO~hk|
zFAg4b_E9p1XkLMB`9X`Fx~8Pe)>dSyJ4d#{=P?x89X5fy(6}~afGBYa1n==22Rx>m
zr)oqBXvCY-VS;@~cqd}W7rE=sGT>p^>Q)I5oDQsO+{WY0=jX!~x-PO2iu=YX$HN$d
zThZL&1*m<!L2doSG|nI8qL_3FUXY`71O{^(ZZZI{FDi=FHG&%ByDPXTW2~aivWpg{
zhB5LP)X+*t05WQLCq<3hr{s-htITr|l)>8dkxBpa(pg`Ud{?q;MDQ~zpExNhZ;#1Y
zsKbKzw*;&rEt{d3uSexbnOdv)*YG9KtB?;>EP>ukKQD}(qABw$kT=PrCqs``EaZI3
ze-Uc268;qZ`Z<uwpALV`;MW5*=c=$yChKQ}>k@QD=Zw_#AT!Od<;stVXE09dKMfcI
zZ2Z^n3~o(a0V(f66irK9UC%P<kF<2MXBb>J@_I}1TFkJ%@o<0W65`W!LRxVt>+?F&
z<+>+d1Yb(VtJ-cYR+e2*;KZEM>ddriEZS>ITs$@B&?R8b-O49CP-K{MQ0As}yGvfb
zLaRzWUi?l(0Ua@m@le?c56V`%G7HukOE_ILN5>e@#{tB45Bi-!zk&<0`g6`gyWPa=
zYspw*Bjzf)LlG^|M<#gX`q2>O1EZ5%3U86Bq3AKe{w=Fum+QytCp2!a-(A0l2Gxh4
zJrULoK0JGC59@NXH{N!~ftO!43$F8fvnpP*i=K<fLa(yW#bmy&f0N64vx$Sxm-S{k
zD|1*C<k?Co%1>=Q*TP^Lqmsba?+b_H>_i|W#Z$iOME#?XFi8<M<$6$mdm>Tq)rjgp
zNzE|m-Wfvod(US{5Ul@jh|M`E*ocCUg#|Y&1?5m^@ALuqtaSkDkGrY@Cw6`ml>hIj
z1WtG&?37Xw@l{VX9RU-Y|7GvsBe4#CJ?a1}K}!BG)*N-MX~+okQl#xTG)AyLTspOg
zPKSRr+D&&A)uRyg&jjOG@uxK0L;VP!)>SY8kz8)q22B)uD%gZ4COX5zMA44};eTQj
zH9EBsKiyzUz4H*7{S<4q9<kAGra**RhnkH@rfcmOTgmGM#W2f9oro8mr4LRnd?ryT
zFEdTsJ4j|G(Ln+;(U%lvIycQs3d+QJi(hM~6XcN5fk6<(H_FLXypwExdIcwH0?zbB
z!&#ByyF)3y+wf}dFlrfyBop2a1jam0#B>2|+94R7lxkNeOHiGE)5-W_b|hAfj7cdI
zAGG(KgMhK*)B*1&FZB$am8{<E(u&2zf50>$GCT)EmOW^&>~C7}^}mZ|Oxxps6EC4Q
zGhx`YL4hGNr}!V+A=!z>G)RK8L@ZgQx9oQNcMaIm7EO)(ag+@KH0Y^}pw$Mvkng}}
zIQTIOaE4k<QeA(kE5E0#Xs5UqpF<^Gn$lg1zqNOeEKQ<=1kFfaG|d>f7Td`hsIwqJ
zowx!^vI6UN>J1ypQyI5awgTUY5i>ki8B4jp(+*@ZF+~S)G9+A-c8R@%(W$`t$ksh^
zB4F`AIICtN-<Q~7v=SkKqo`|*qjK5W>sB9#L|dC=B;I82JI5duHxhiH45gNAB<w;w
zf{{38#n);iGGQ3aNZfCSq=1p&02=gEM$l>`cIRB)iJ1xG$i0v><E?Hee!+@*ilKNE
zmGT;jC+r<0i?!$=L9FSECf1Rm*b$phrCJKr|J3R6Cr0}xZ7<ZWvK8i&oU#ds(-#f#
zT>9(_MlA!KWa`_2$gR)5X75{(hBVV#T%U0i4EameXLep2L7#0tTOT2v)>eI%3Bzdm
z>;gL^1@svQ(4eO>f>wRD%~*ww>8*{tfOHMyqb`{*wIY?GsSco0UQKn4y@O;~5gjB5
zEPc@gHqunl&8rFC8<y&g+0-3IOFCnzi-c){WUP;|{<D?Q8yWG8-japLPKFVL=(rVE
zs}N<vpb3#B-t_@H3<bo8gH}*{ejs(vCMHOmm7-Fbw0F8lz0Znhiby@ixFX*I^l#WZ
zNERv4L4rupmlToOKzmsn<+x1ok2>yuYP4mrxuV;03Kj1pTdMwu(a-2ES*q-m7(uF@
zu_9}gs!SL(sTyN@iIVlilTP?=+hHjnT^z(wq$|7Z&tRn|+Bu9ix%^4&$A?Q`rPzjP
zocR)_<2!fhd~7ho=)9M6I=&tK!Wt$>7JbnqE0=fqBBPdpN3wX^fk^f)*^ac%MhESE
zk50o4tdnf{<?v^6kbfQz+(=@gsIvb!c8S>WlCpm#D)<NSN85Gvug068zyXu`=jt2%
zL)7LU(@qpNyK0E(;JdXf1pn9Yn#LS@<kcu9nVN@ql$8TsSH5b{Xx1Fp>3b*o^8VUh
zy?vbG*y$wOvWsvIeM4GLXbP4)xkkdV_ZMi~kpevT@Dt{*s9*5>-u!0+c0}L|8F{4~
zt>E2<+MN}OG@yad#{lO8*;T_bBFI_nwwImW(WZyU!WkZ&*ee}x^y{qhpo3rqB(ZH%
zu$k95CP!D<)J7ahukX3I;CK;%j?L<ziBl3_0?M;f>Nl2=4wqd|OZkdqpd!Zpl!h^4
zt-CmDwMS(wzeP1JykR}~GI5NqxQS@C+{X3N5EL4yIqY1|%~LdrbKRhUG{RRV4&7Dr
zBH<#4xFgm`G)+kQ2w?6pFo`z(f<3t*V8+~6t-OCfwab@rOA!tcI4oM=CymZ^<4_JZ
zoB$1m0ZdnI7>wgD&Ic~)L2Jsc%TJ&++gW9HCJ>P~Lw4v#b=mv}Q8fw`2-dT1H{-8&
zf-ci;^oRGe&y?R8Kk0y}I42pT#L<vS`8brR8252OYHnI*B09)(;pR9*`rizo6Us_$
zIpQe)GjTPYoh+^N21LX|*b(?7{WA4c$o_25K4cEsgI~SwH1@yLm_HgMkvr{!R6DdW
z7_WrfX_<+)xcyNy+@Gils4ODt5LJ)s*ID9H9#%2s;7T-i!E5&Tb?;PZz)n~5fV?S(
zC!j?Ht?Tse8n_Tf{so!7>BtxEN?#I}o6ERy^>T9=-Al3ExMe+zE$3y}tFTCkG6(Ad
zotQXPiwzP2rM=S!=P%5`NgWe4k>L-amcJP{C{n<SOq%*hykzXECHZ13K%X>M&~Rz>
zY@uUpJS1a@Cmrm+HX76wfx3J_0E+b9Uts{I7gZ%ZIK8tn3^a*;AQE_e?Zf}yXgHNT
zEFOr{Mn}_{fqLCJI>pkVRuB{;U?uLj;Brac@L4DDnML~FhDuh2N_w!?Cf9E0e+NX%
zOW>VoxB!7|S!eeaK`;-2H%Xl#DIC4fNqj{S2rgeM5+5u^Vp}@cn~Na0swA!zfxulW
z5-%1Zu{Evl-9_*d6vm9*OwCSTG&P-)b2g#ePoHwOF%-7o)PoJqok_zi{|#y1Gt3tm
z0+BoH6RfC~urcNW{V?}zME3S5FCfynsy@%_JCtVv7n!gCO3cyNN6a~}wBhw=X4hy{
zn}g`q5<Wpp^i5=xsc=i=V>nXGSNN6OJe_J0q(|~gOp-CriF+jUNn>@Z(ahnIeAH+#
zm%;uB12Da)>XD3OF#iw@r;>+xB%C%QcqE@Lf}j`yD{(^)M6gBptn<ZJi}e5HwIcA}
z6eF<BBl&I-1oIF$azF%yqZc}fx1XyEMLJ_DPUjX>S`(-5Of)<)4_nP;xd?uO!U^V*
zzGylm#at$oyS%Vk4M!{}-UiH%2~)QDd0&Pojc9)EP{U81va~Mzlv9tT@C#{#)A60A
zyW+4TY&65J*5yK?G-3#E!sR2~n%CWvXnOR(Rv`!a%aF3n4BeWWS5kRYnxP+L5|U_!
z=#$1mR!zChppu+n#NO+u_(mtW#CnMVonExCX=<Y3RFW~%6w)i^pvK6RB5?`jB54_w
zn?hnL5;tlakT?^jY>7LZF$5z@+^KnM&--#SXDZW3IeU!JD^bqqQ+_#1xtB+1jg+q;
zn=tk9J4T1;f~1(z-)0D;7cDGvA4bEe<YO|&X=k{DHgDyVMGzDtWL0v?9X*2J${U@?
zUn~N{Q)@-!r;8BT>aYA$5&RNI(zZ-9_5-?Xr1PJ`s(D5-_pLp<ia>A{Dy@m%c`h2x
zBP>ufF#|<p(ezA;fl4SByP7BD^~76y%oeiE$-6Tce?)WgD?GrG(k}FwyLNc6ynww&
zI-t%n1hAyE*tLMa#x`_$92vi(hTOMKn=%L-bDIONH^bBAD4}MQ3g;GVics1c{5;;k
zZ8b=E(^zU@%M*bEtr~55B0neH+JhIo9bOLka;a>$O}TVrZX5q!l%1|X#)AqKBOgPW
zGbMgFH(#dmi?mIzW!#!*o9L6qGgkE&#d+>R-lbSvXVqvdmoU#W;L?j0wmTjgP9+Vq
zJ0V?Sq7)-biYO(NJG2U{811+QtI`}iKoe3uf6})3d4>Jw=cRLRiM70cq`?;XkW47R
zlN(6b6omP6Cd8ZO=Se~%P&d$H)DDxOcdrtRhgL%ogyJ2nN^=Pm%2vbIWeD4dYWP}(
zX`C|4zEVaGGI!9V>?}MD3scY6FA9CiRi?<=LV3fY+$_3|)HqKlO6^@pPBzj{<{s%(
zl_0g{?=u=DYD@Z*Ut206ykK({&#MFdX`{JxC8#(*f5E^@FIre%eijX<5{KzaP8rir
zFH2<+U+Df?5d;POt%hiu!DSMJ*n6Ge-z@^qzpfR**PT~@;Qab6apct8Lpuj8s{EPG
zB??1@{2sG{F?LU}f(hj=%#iqST!O5U&~s+{*?R7GGsY~Y=d4Z2OCtX?$0nG#H-aLE
za^4&9n|#0Q3yOybm4*>6`(IMt1>vQTLK}w9AuX9EylEsJ5P?pwr%D-tPEiEY?T;X}
zfr!PV8w)9lwl`Qtet|G>GfYe=GyP3D*Y0=tos1Mr#4a*q5k)hlYmlCcw)s#y^r&&+
zq-tA)KR$!}(_vX$(Z{^-#dfpFLwB)$JE&5+tGPGx+%(Sq-E+>HcZb02p4&I`lBtrs
zJd*vpn`gh=J-2^mpZQ6q0jGK|eVO@HBvwGpd+<s0cz}9zW@cs_dPzS@_uPU2Nlq@B
zJRp0vyM*0KxplehR=aKa8atxwyIf)(w0KT5uU1<2+?Lb9B!?|KBh$A0l2%v1HyxIv
z7D{Rh{9JBSzuju`>pY@-+eX;e9-91=mKzq3`|Un<Y%vr{Oxcu3U>Zi0v1at7rdW69
z!L|$v3de4-S)7v5mhKznkBoJAs4t@5kRlwpNGXPwa+rg*3%Fr)fP|^ML6<JkbgN)a
z%-Xugk#lsWbhGC<NE6qdqhR8>kVC{3B$Y+Rsue*(4hMz1)^N2bZaXN^B`0DaXDC}N
zIMGF<aLYl|9Wk;VEGLCPhBeE0JYK8>?j}%JN?x?vb1vz5EtdMV(O<db3JPDQ`%-})
zh1yCQ^2+d@OPBOIxOoNFGEi|DU>ikLzmKjcq`+z1+jVM+D^JT|T#UtTR^(ty^NxEm
z=!N0sA00{KiEFWzP>BT$KFn`>I`wo|gk|v1DLQU+c@+^-^*OATlwD6EqKwZ&<*KNR
zk(da!G#d!&b(@uiX1jV+z0~C$r<OjK?0Bkyr8@#YVGK;VGbj!_`){KfVHEg<`uK$U
z<aY8(zHib_b(1!qVbkXAMvd_}a&q7PzVDCrF-m~WofT<(S(LmPUH=?9Fp;tN{(w=+
z{8N9xpk0TChK3E?)^GHi9=uR-^OtG`FU}NcX_zj`ko|~T*p%_T1{~>@g67SSQfUr6
zbD%EFP$Z#M3bINjkR-P^acPRR3V!NTbkDK6_|WRZ_4Ix3Q6>&g-}h+t)Pbr*lLu5$
zPka3?AL$Q`!XB!JH>-_F)==UMEIP97suK5!^%YvMSmpJV%{Q^_JclRX<tuF3yO5EY
z(0qOrs>lOnpQTE<*I9xsBJcKWv`iiydE|>k;3T7z4(8W$gIRRp*zDiFhWvMI;H(-3
zEHvr=O?ElS3q;hBc)`kv@{U${OtF3e&n8~SnaiH%(L`NU%GJ5{f<Kq3nWr3HE<C9q
z((2<57ycnyajC@0aJ3#f;Qob^;38TejF=&~G#?zSDQ)l1f1zj%oHU}{*iAK+8wT`I
zE&D^PZ1S^g8#^o0pi}%btk@TP0a~(2zU4IRepHPP#|7)Do1~*%>@@5HehCK${pbjx
z|H}kpCf?9I*Z~QrMlS|~It*mmCPI8mD0A#dd{s%KjMO<PoRBayuO$L=O|;$Qil|Sf
zj$TJaS7j_-!w}QQQa#jY8H+cf>dB5p9MRmw_pc)&ghLbVAO)A?lrdc}TGSe+{-i}b
zje+P;tyLL_CR!>e6hDHhCp!>UoKwfds#{g(fMn?W3=GNOpGWkJ@(_eV7`rb<<x#3A
zE}D^9K|-?|t61izTdWt&(1B5Y(abLZ9)8gb`;~Oj3^y1NCCc?HgGqfw7`XvxC3BkJ
zo$JYC^JX!zZQ$@?;l*Y|{SxkXS<e}*K80irr`uVj*B*4MxG`Xg>aGj6Vnw`*yKO4s
z{o&vY`KH-udBelOCM>B_=u~eQ>_8p@2EhyxZnXMd3keQ3zLCXFMW%4u;b3CPYheMe
z-|nLR1SQ|-_1)zT9yarCDroyC9!uhJ&~4&rOTS&MEV$L9^cCHWu{)QC!I|><apmI;
z>)>v9)qZQRTscAUUAP%J*h+3v2X=FL8C82|a+1ICnjU*op`0KUu{l6JiVA$U058tq
z!%=B^$Gqn7hSP&m-EH>e<5;l6JJA5G`nXJ`7rh;;c?*LjRNqR*1++qmuIDb}%|ss?
z4jv(e3=CTvExMz|YgOAdlo|#TgZ|?5<<q?eexI*@ta#mSyIaBSr!`!?3_262)&4Np
zCicUkR>oK>!{7qri_wJtDN+VodAsr2=j$Jg%E5NRp$9_ML82yb8e*N+Z7mJ3hXsn)
z@O--08U|-!lLAK|DmAYI{y;Z$Y0}|fBbhCr35qmo6--MP8z*o{QLxn=^xKu_Rd9L(
zOtqypSngCp#sgv53q+cET^s|X2Dh;{pl+*2!ymos^t?f>T{*E#EVUh}Fxow@qSj<w
zQtelc;f{LFqT6t7P|sb!d^?14Tna>eDmVkk^dJK4vTHQDMHH*ht=M!URIrPFp%bJ%
zVHaY1Eo!ZXA>WMaZ86~d5iGicqzatVS^^_BaUE}e_}bIH^zE@=Ysc$E(|tnc40^MG
zTlXp?9)Tn8Q>GhoJ1e;9u{G1~F3r}wW3wpPn;iycQw;_RYE=5(G6t%Tf!T!j(=Xij
zVo-K#cd=@8LvNyP&X?Wvk$0{))A0I>tebj&xrr_&`tAaxsMfC!Z`c%E0G?c~gyI>l
zR#bW&;*bY|?Y$M;-g}}_Z!FcD_z(QMq1h(ZKZB*AuZTSK_ai-hl$O4Nb$?fo_JV31
zX+EkLcrI_CG9w{MA02ei#a1XKzF5Nbzysi(cD2!31P@5Xa3-k=><;SXwtI*btwB~-
z&{y5_`e+S_QQGd&iih+7&5B#Abv@cg#6Yh1TE}p;%0jS-s|d&>*o#h}g5moWevpVU
z!w%YpL{HF^?G{*Pu{XR2N=$pp4iV97w6+*N(Dm<)8Y@0dFZu7X|2UbNe@}mY6W3Gv
zPtc$D(VzFypMRu3|3H7fN`Jmge=bJ~EdM3+XAk|k6n_T61hq-CTIzwfdYH9%KWpuN
z*3$i~mHSx>_p{pf59$|Fc>(}8iCwAP&n+gO;k{{BhF8kV3)+IQMi1B24ABg~&mJkO
ze(`y5U)2z{be+6A4GUaH>Wlsrh<EU>rax>9juNTa7(7D1*ci}d-h2%Hl76u<pu0-h
z82Ap2#^dyd(x(lAEvoFWf!~77Tc&78O8Fa7k+K};F!c>D2PFhqTgKhmp*XUlJB^oN
z=?S&Pvd>UquoJLeFd@NUt(>WK2=j-%S17Zy&Bn!-(}EH-dKHn+5L-;bs))>hkU$(@
z)yEHs_wNE1`hN+gx?z3q$A>pTH+9@Dv>k4U>rr3?Db_PX1+Tr{9KL2^xLJfyKyNHj
Rtx}C_kWkm;8Vwd^{vT>@Ze{=g

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.labelers.column_name_model.doctree b/docs/0.10.5/doctrees/dataprofiler.labelers.column_name_model.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..fe11089f08a00f549f7c1d2647eac40402ac0601
GIT binary patch
literal 65857
zcmdUY3y>vOb=c1C&dkp2e^*)sMk87lg12IK79_A>BoNX{Leferu@WGAS)O{{>zRJN
z@2A)OG&4fjI0ckMx&l~_g4n3|_=5o>6$(z-4nK!7HYg6MA{a=BVq7X>g&;75Kul8P
zocrs0Z{K@g_nR59qbkkz>-#(R-1EQZ-hS)&d&jnnZNdN2y>T~ev{&Z*dcEDL2k{`?
zQSa3Ht)QI@9v&S2t-)Icm2|4-FUOsJuNDl_El{HtHk$Qb&>ox_q<gS>(rCtWto>vh
z)RIQ0Et-ep;Y2ujW>5*I(($B`Gy|z9-G98(?6=z9Nxv0%w*d&v0ak{(+wTfi5C~J1
zw+{$p(DlJ|qU!@J$spXHPE`f);kI;w!F)2^-fXmk!O8xDpHBNp(rYaA6PPQ`ZCj%r
z<2)v7O+Sv|B|ML}0T}YMqu%dkKNkGj*<P@SCH-_V@t3e@5bh0U!d>Bo;kIx#z5Cef
z;-D8FyX_6Xe)%h|IM(fTqWD<dPkeY<Y&3)3F@P{WMj=xQ=9>OO02Si78o@{vJFm77
zBXhkNrgzbat^I{?OFG_Y*Mk)ahZMcx^I$sR#elj?;QveE{};mlhjD6vonC`XsFH5)
z`i<ToJq8{3o559{44VUlK{`iU94*=)oH&^b{C@bN@Ti2JcMZkQV&EtJUQk`=`R!V$
zpy(J!(Xl*=x~ubuS(s>h$?Gf@o)@5X4A452P5~MDOFh3EN~le*INoU|exn_Ggg(5*
zPS2x*d$>Mi7>|I3<I>fl1bk?;wi#s~2ee&F$?9Zy5fZO;i4n`!0QH@d*yXDaSe~N-
zg-ZnMd{mO1hyk}CHPY*-tT+jXzYY1qtI$Phw2LnH;X!(3K?0uB1{)X&nyw6R<#rIB
zHHmV#%-aGI5=yFZ1Ed8Kwp1s5jW$MwP*Sz!ce^m<d9U86B}Y6Y%vO+qXqfkI@1kt=
zo2RkpjQ2|KWTzb*CKOizDE5-E{C2yO_?i$-Cn&Nwb@HDX!A-zQHH#5kI<?Yj&c|IJ
zRl<&LF94x;Uob#AjG&iACJjG$j&XZ_O_8qvZ@VboKnVh-<rS(Fr529X;tf>9|E3-B
zm2@Xi&r!fKfiB&Rz>>uzzXMs=hxdnX##MMrwhG|`M0&t1r^qbzDel#Xkk2IdUIq9)
zE`WC+z!cgYIH(=acbNb^KmZkV-)w;X<JL$xp8o1+Y$CXXa-`^9?)spiYtfD%9yyul
zX1UpJr5VSd_EyE;V|M(dW9@-2uPUzSCjn6(BgA?h!487a?YC=5Kga1~^Be+rQb+xQ
zYt(Lj)X%X|52a(C*44-4uEIyTXa`9MqKN_kjMWX=b&zG%6)>D6j4_+#5UZ^M`7OC;
zyVe7{G+3;6TA-c>>DKNlSUT_`S?z*M8YlcQAXO5-w-h7;HWVoO)p=^m4AK`CWN#F5
ztMjzaleik+0K9xHr;`8NwrYV@)p3UXD0KLHu)KdH@OZHxP@CLmgqfj!I%~oyKz^lS
z`4<i>n<w&ffba7HK0B2~yTQ9~^!`K+O-N?gyMfGpE_Wo6*&bCDGF*I<gC_`V2d}4+
zZ*++pM%jRt=q&v28IgrgE98|8B$HV9eFN!4&x65LWS-^=Hg;MA^jF=08j;Bd$fJXD
zr$PzQ_3jbMqk;}H3L3y=LGKUf;EaZbH@Jaxp+Vz5J8_%H50+_5x?hOgPB-ZJNv9{t
zvUKc~0_s<4P~Yo>IvwleL~hi<CU$lJc&5^cMw_^_l2Y7`mLP|N{!mx>9d1xSxh?wr
zW>US+Z}tNftn^^q?{+)Aq#C#UUUF~0gYNS~APA$k31~GeOH`xDxZxE)4D)9;B(q+m
zHfMbFaKUp24LC@r(bDKFL=bcsD3(w<QCi4{Plprfj>UenN$i#IVU+asa28=WF$OUC
zD2oU|P=m1s&Y>JB;f_rud^MLt>HKv*gcasJsy*iKF>9O!sKlIotWVsVd&p{5fEgxP
z9~p6Fufmz=acyNo!S?ADqYev1HrZ@|)8RKIQjb21Ls1UBtoTeaxIrw>M1P^dtEza2
zQ4nK+s&vr1N2%UbRu@U{^Mv%Ge+&QQG_gc|=>#zoYGt&&B=Mtv5B+CCUsx79q1Rxg
z+icVt$>1SUVcGAs;ZZU$qEBGs%ytMLR#ZkA6jG~WHr)h174ixp%Kn1Hw^~>V=L0c|
z=<jhA342A4;Und+jDIdWj)A#SftNB(gp7>7hojF#PctCG*`iUG&9Wj!^j2<eH<E_m
zY}_Asi|9^3c!3~W^9tv<YAN0zL+w9N)c&k2YNMZGi;GTdgLRRhpGv0}8$q*P)f__}
zbAdQBDVGFSR>Yd>UhwoCBFe&ND!&qQAp-2cR!XRaXe8Q)wP&K;_z%@3X#0stEOhFt
zIY=`Fa`&x(gUqh?D(GGv_KqI)L}=1)HoYVaJO~^0I^ABwPXZ}uL{<}vK_5aadHRk{
z95)u4N)?Ep&!6M5n)xf|y~+)zPThX$*cFGp*R?_Rg3b@>9)`mqMvH_y*Ya1Y&7i%M
zghxDlZueW&TIl!UBM?h#RfE<-P-j{d0&`5iRUvBJX)j4@kjh>YQ+M(!l^R}Dm>N=4
z8Zp4#SZve=4@OVI(h?OB{Wm0Zv^S!|lv*x@e}GC3rCYs<rarMqaf*bxr&JF1>OMZT
zpw$iixDm^flN@xT{~aCI22l007MO^xr2xN*0Bo<C_tp&>lsNCIUlrW|9Y?Q#KSq3^
zCmso8jU66_t3&Cy_xEpoSPN#59u%Br3h4HA<})r{*1carmC+(yk~;oF_N5A{GA?h&
z8BUopo=SHvG&{AkRbu!{q{Qeg!`1T(GayiQvC7%3R_UykN1fFq%qoG#E@Kfnut&$y
z*=(38GZXzvfzCbJIVyu8)={*RR^36WM!Vo2?o=>s7VVebrIV)u*k5SJoW8_wfkC3X
zK7_p%B?_*)9>GRJcSRRV<K}3<<%p)Na3=ax88E<5oQWQV7Q>c~VHd$Ig<a>`MiU5Y
zW`S_6KiYOycsjiU_e+xMa?n@`lelsibh@-d?AV3X_b)uy779Cc*wwmW#2)4pP}Dsx
zVRFIF;wR5>>p-6e+1I&8<CietFVYw4=B<JUSdyc!B3o<BSa`Q+xLc{nc};t(a@;>S
zNxc$&AbdpeZF#r^wnn0-MBB}|1RoKI+ghR9ltUxo5d4v*9sO^_fU-^3V{*<M{L+mf
zFmXs^OkI=7ZAGP^Y`4hK-*g*9owN-GGLYN<r*8aAv<(1oNi#+S(HH`1Mo1>Kq9*}K
zG%ObV0os&*2!9lsiari+if?y7B<$hnkFm+DlTpZyFGR@LDiO#3JB(!e3(=#{11Er-
zp19x?N<oiFLE(G~N7Gs^Rx+BS$T?DYF?rD8?+8&5a1XP_uEjvB;FB;HSO`8lF=yC7
z&K813CdppZ1eMKtP?GIeMaN;-bP`C2n7q;T_>*jvO1~%D9h&Qdk=C$Ev^G;ivk{#F
zZeP!7C@z!;1ZwCO*ilAja$OYAHKQsZ2831hunY@_EPp~LQ9dsOX&zif@C;9P{dV2Q
z+^SwMw}|-^bJs)ZjrfEa7Fi)=GC;1>+@0i~BOZ8=-PJiL?)CiDGe^7yKdFVV2Yi1Z
zC1W(&A{XO`7l)nYDny1C8{n7LF!a07=`<l#<3_(3!(jIXy@gH;&Dra_di{Xt8?kR%
z2{U~&Deyz1uHv`g0%FzqP8M+Mm@}en`q6V;%?oT0jgV=Vk8hr}W+p|p(R*tBVP|7x
zJHy*?3~sH^A1VQ@2qG~0ipD*&D1k;GfC}vizr#I%dH;?Lkl&XhL(6WAv@?9`dU8C&
zWZtS6C!=WLh7Y(WDep>1TMV*Up$0!vHcBy@;{Cbhu<t5A=7!X~9BhC*GG=56s)<((
zMW1yKTpmTvu}4JQ)*~Kg7JO7$<v+S-P!e^|kx{28A8ptt-NTkgoMYsTK-)jM;V+4{
z-HKw?Q1uJ<P~}mjjW!~BAg95W-Ed&L(;smmN3}jfm!#IJN_gNtC!`@oUBDhl^-Mtx
zHF}tk%+$?vW+w3|%db>^da--%<_R5vMnzT6tK0*ak;?`!s2(h_sGi+C+2}NygbXct
zahatGshGG+>$zAo-Jw3Rfr^pr9XYJpHOP`1STk1H0C|*b1B7W@+;<NkQLoKM*OVz4
zV^l=gdG|p#oGwIY4Cy3w3nhY^-Id&IS2EIvoPb6TKsS139?M3G+}r>#yj_OD6#^#i
z%HwWG-lIb@Gy#bLsNqv05vPE=$nCS`#M?f-J{NNN0+qp^aL(HzyZ;Ir6%}>gat~mp
zMK*wez_7$3>b9f%O6Q&DW?HDu{RdiKYZh*FkYfD&J%U4RNHe>+u~CBEc8#mZQ%85Q
z+fW!3b{i*=1x|zPmx}z0+^~$ma1_K58SXq&5G2QDldKk>nfR^F?Mmm|EKGF;G%Cte
zH@F8dGZh=az*JbWUQBgb>r16Ed8@vljx57eZy-3-hBPyk8yh8<YQ;HWCsPfDL1C)x
z7?<OeM}Mef_f9t?Bd`<&unbELuZz1WS%5F<pl5`!vuG<k@xZZsX2T%NNnlc){KuS=
zABFD7AjO3FADHMauj~2ViD~*7;-b3&5gW62a)Bi<Ep|=lYLIP+U&n<ZxsQfj6FHyw
zrfa+1<|@hex(Cv|AixY!?K+&0x`!ls#f?^@>GvARsuyFh+k<qzM!VZjJWQ6uld<%S
zY)toAFuQm<>oK#ymA61cf1@op<ge`|hq<em2Mb5j;3S~5A-7k9jWg121>|fvVikT<
z8$**U(hB2-%->>d3K$6TL+P=y^A{9dzNrBr8Aa&_u-T^5W(uwolKcu=4iFZTuwTZ7
z1>MN23{Oar^Cx){os?xM&`;L>XQkGjrBwa|8_hDIb^`RdDKiDLmmsAd5-zOiqElE>
zg>3hhM8kBRSt4e7ImXbv3Q3BG6Cfl9Q)4PG>3D35!s~b85(J!gCAv&PAIRDvq4*0X
zs3_ohCU!QE)8hUbaFI_VJP3Ue?#QPRVv%BoXp%p=PKJ61pEl>@?1j3JN3?G3&?6JG
z<iW!POnX(?c%kP43MLQELC1D1k>o*vqFnM|4nvmYK|{Ug4I>PJv~*}y5H|V<!-UOD
zv~LJT5&3&?sb->`q-wMm{!w{cqW#xr0X?sB^4PV6`0Je@_TZ?w*J!~>@C0;HBc@r#
z9&D)MMrglT_ZA?rys-j_y1*Myc^ZEAf_wW7*nDO>NaYVXP{_qbHoB%V0-QpjY&JU;
z@RVDh;K7)3i$(G<*$EpeB~)J71_<J8LY~E96H#}+)|s8`B@S68z}c(H91>j%l}WC#
zc0k3HUi$#lwd00xh(Jt^LvnbraEPJab?ZPq0<Y<M^aiY;!#SMK-ZW%gO7huBJ+g#}
z{z7R&5_{}J>VAC=lmA(QfkzJP#lTdU{u$J#7gjxXme0sv`4|=BvV4KSFQMDVVX86{
z*oo0jPn_2tC1?X)GiGCBsXP+Yn_mMG#5C5_3y_Bn*KqRq#QKuQbu1#{RWSNSgz$|`
ze+flv9d8I}!97RbatK+WL66!Z5LO3^A8sCrJ-E6C<gdvj5rGv(3F5cF93g;jYs<10
z0{A8;fV^RXMat?s4HGF238{W0D5*mIk6L$js3mdx3<1wxb!2h-W9Zn<9z@&<)a1l%
z4l@@1G1Pl;X*v;DOv|?gUeRF~&MRLZg7cgxb#@s|;kwU669sx@Y2)Zl=-GU7C<6gt
zN%=n_RfqdPA_<>!7EjU_*d?5G<)ljTcEUp#nD_HiY&6XKc{Mlb(ih-CD6bjZ2Nx$X
z9|aQQVq&UE>1y0?DOz1jr1$_c(M@IMOS1oOfEL42G}$sDUe<XTchY6^r~ySY@sxK0
z3uHML%S?|iXAK(_Ury;1mnI)UTbgcpcynQ(Mip*s*dgL=nJkZ!!pVv!!|O$C#SwL-
zR@^N)*m(~g|KNVOyAjI|=5ai+lKK2#YMvYOgQJ@u3`okOoAK#Um{@d+csc=3hFoBl
zB0I-f9cU0qv}hji8=4)zUR~^UT2-(w&#omMn4HwlPNm$4p$>lYVTp4sb1Fn@$PHf7
zL$GSkaG18&^^<TOqoOnkcQlBpRTZA)OOWm&sGvFEB9}~ksmhGMf~A(N9y^2Zt!%hy
zE&8Hpl|Fi|=kBVghYKw+c|FT?-lLaOF{{5;vG%uO{-(55ciwY`yXfoKjh0fpOQsE~
z6|<D6d|^e(K%Hbwxh@sIRp9@p6L`zU<v&29q8pe0<Q~AhamfZSY+PcAOrp|^w*mjq
z+2)lIDN|>@Z-?5Go!Dhv<VbWPV-(vx+680hED7_jB}Ii@?sHDWthuMiy4WYe>*9u-
ziSpD9xzTT_M6SuN!N~oo>-LKEUbm6qDz?@yGp)6>kHi**?-ZKWC0qUIbFjo4vr~AH
zTTSr|!%ZmT$xhN2nBag7n*5P4d2_RJE0`h>!05pB6y&-J56uz`d!6-`8%fAdi_yRq
z7`nw92ttnTK_Z@s-c*>D!RNxOYBnqOPqT?WEBknH8LV>Gr;CkdnHIL~<7J-g4NSdy
z6>7B|1p?{8Wgwm2DjelPDuM7<;H`H0-m(wzFNltzZ9(?TGpeE{o4WTP6g79(xgr<T
zL;Sl33r|w^h3<w{`5n5q!CT7?9TqA2R+H=6u7gm)hv05BP{%6Fk7%9QH5G;!*uLEF
z5a8@pW$j#QU+#m@u^l%g3?>kh3xnnGVhMv8>b-O%N)eb$M{5t#Mu#O+E9P{8ndrBM
z;2xKW`M=0N1^wR^sk&}~t8YSgGKtzrMG9Pf9UB#AcULxXcA>=6WgsB|hVK$oxFKc;
zMu<xx*txv?LJ2OIO9dFXE)@tg1Q;F%aN+(#ayf*00GS3Du$%@M4o>j^19{q*0K@IE
ze_v2dI%^Iui0dw{A2qNbL$Zdj!sWWXCij~UDu}B&<&(X;<Tl(>R9_0YL$uBjSSvfP
zxqaP=Xq*1=xgIA_@$#&D<;Ml8Od$n}SAGpND(aQL);)mPD`x{3ymBm&$zpV`d`auc
zE*fRMzdl}hjUZ4P(d?B|RM;gf_q5R~zsl5Y-T@5JE6;c&nnz3+(qsiA8(eJDH6!m{
zGe)CB5c4JI7T1`UxMd_QHhu2@nlO;zIl2UT+Zg}%LYF+{-Y;7f;!$485IfYPe8HWd
zdlZin_sXsQWYOwEGDrUgA(@Fj%>d%MT%%-(<hVDv+2k<6`=>IzZ+uSZm&@Rk`;uS6
zMzfq&Kq#AXLNj0TczItE^^@dFCY?2Sl1~<%qU<d_2Ced*<bQ^@7Ecn36dkb^Px8lF
zXHHV*p5zY+aQ3RQMk(b<{scO<<A!*W0x>yHGKUw7Cuyj6`A|<XPbWfZKrZpHh(*3N
zNEscDOgP)T$Zrh6yW~Y8=M;2uzDTOBn-@7Zt&*pmOe8PzMcAk~qZjicuPFlw@glE=
z7P;*NRorto9U(4-VCV93FOrL7u6f*z*furSp8|mfFLDQf>+&M8oO+QBd?MS_<Y{BP
z$XnqXg;nyMowe*x3m5X*QC&y@#v1&`n{|6fbV@$~M)srODk->~s_MfHQV`Db9v~MI
z@=tzQFDRT6U2&gMdLsl7aVY;eESszqRJL<Fl)oX`rXTp_I+UhQC*b!iDXp+==Io}Z
z7Z4H}ieReKrAsiTvv#a3yY6C~lyQ8sUn;KumB3dCukyXnsHj)@QTG65uaXU5@G7xH
zrj60P%Fk*&sZ=KC*U2`(`goOpMi8itX!a^8D(u2j_A1{)x|N9Ixpq#?5z8d2%gIIj
zRte_s+-NgT;@cFkLKkv9;~v0FFl+z=!C;AnV5T$i#jv57pRkc<*s<8YQ|(b(MoGu6
zKjCbFv576MfA%cG5@ntevLE1UI`)9J`!b`o(&l1Dwi^flFONo35aOtN>;iaPTM&Xy
zL*pzb{aVNie7T}mo!sJ_v-6m^o5TSI^_X}T5;EU3`$jh;BODW_0BZP@RxvNBhS$aT
zSEkaVcOx^eL;UN_&dC>%{c9t=Wf<ROoNM_XCJbb_i&g<E8x#L}j@2F%!7sWbBnb0n
zCTfQUzr1Vfb<d~YC&pcH{0az~z4T4c6KNE~D+=WleHhntCi-CErR4#ybKOoPxcvZ|
z7T|W{16-djgF_zR`V=;rWh`n*mWZa|)C12&rRl&G_W{qB6B9PesAvbvjBXYJ{IoR~
z)bt3aPD50qt7#Mk?BTB#p1K^|`5kDL4}3iVZ!Li@EK;<!rZP*VP&}n|rYUhr1Y?+j
zrBHl_0B5f%+b*R7U*Cm}?YJR<FM*g`;46n0OW?~;?{IO_5JDp@(FkOVK58a|ZDFpz
z9)e|DkUjK3&|i|OZf>YC8$II(${rv?LmvIbDjwW>(ZTQAlCKc0cs~75Sqr|S*f>g>
zOhXg;{c^3Y@oc8>1$h1u_Z0*tiQ_)IOQmW%b=e7opTv9)^krclELu0_xm@ea4zt8O
z#|UutsxtFL{|6Sf=&9$ILdSO85atnx$uUn3FBax8)H}5SbR=ja-H6_S9rbw(XU9WB
z)-A`5&Mx^;zJFJM$yve<D#?PO)<>y4Sg-Hvtdyd2c9gG=jfUuS={AO9vFwM+Ktf{K
z?<lZr48aI-DFnM$m>s#|)>o-mHaCX_0u8ZjA{!hTQCLo6+5Z|QMq}CJX=7s9r{II+
zRdPaTEwOCvwAIKFZ2^omqJ2)rcqOn&lF&Vx!7F|4=X%}05^XC4iB<d@WOfJ)k9nRJ
z-{C#OLhmegwT3fZe^Zzvxet$LyuK`2ZHi^cPIOHPEc3XS^hRhcV$pnC%+VAccW*^x
z_=)}tcB5sC?bTM8!jc{3GM3Ayxu&xY_&nrS>O_9zoQNfR>=|eTHkcGioaZBr&1;dw
zExT2tOf!zmkwi9tA+Clcij9};YLJjDF+??|$sDdd<OWRgj%2HCed7EFVC-C+#~fm$
zsIY4z&Uu(U_CLtFXc(3z!s}x6%tVFinXW@lv69E}c5>QWC9iAN8_9H#VyCIDB3PEm
z)P6hoDL0^IGGzngQ86WivBnMexQCI}svyxxBaMm_`%U4o8(Jq)47`izQg~MqAoi_@
zw`;95@*V|<!dnsVbB|qMxz-jBrUW*W`FTF1iKny1(HB8HJWKK5Op}7^6v7wR&UsUS
zL{q=Sw2LuPEjcuMUjtu)i~9>i)56!cxc1Av7t%2L9Fo#Z^qImGg^0rs&i^ICL_awH
zXRL8fbx4GWt}08K;j@8GgrSj<1BRw5G=k@FG`<EyQb*%I;S))kAx{=ZgMo`j<ww2W
z;k8IS*%!pu;&F)VnUQaHP+_q;9MlR79VYz=lSwbll01?tKj+ESx2Itfnp^U65{>bz
zYkPDs*<A$MYe9{~hW);i6x}xL)1qzq;d3yZMw_>8Vqa1K*}B<XxQ$|pX9IB&LBGpR
z?{-z!WBVReJ!*>1Y#wfbMnz5W1MUILnv@M-Q0G{psPoJehwr(^iA=#{_7zhC0M^uu
zq>9$Dh6qX66*Q8zlR=8vN6*h8)NV9h<p$J@P&Po`Xf&jh-0U8pJSNB(qawm?D8A7R
zrxOtd%0d(=lvT)3Y-_DFvKa-4!iM5o-D4M6sI?i2l&DnYZgJk-3=Nh~(VUe>oO5>O
ztPF*rT+Yg4Zb(MRS)l-G_>@+Wd(!B2|6kCBE{lxUMXx*4o6*lvg&J~Jgn~CoOT(uP
z{)2P!MRHcO&rZ?H*op~>ufX61=FS}y)ATbWM^6DtHpW58U09-72+T`ii$Z*X?=lm|
z=nKe~fV`Ytw&%k+Ex1)0K3R~Nb@V<E%t4?RIV?5q3)-0C0$NXa4WoA;42bA|Ar;I-
zKPpTN%)Qtg<{Md%AF#PSE2%D%dsP*rDHBN)pu@$s#kOOkSx!X281A!NH)YnLSGkp2
zOv*j|5+%XLJY1O!AA5$=T;!G+K~=`BdD+fnyYuoZK{><~xUleS<xS}C!-C|qTmBjJ
z1$y&Pn!hO*ixj=C89{1x%XUNwH=F4X73!C0-MQC@<+scc@a$D(ld@EP%N5YE9Xn);
zo}xyb<(S>Pyk(U6G4wkzn?=fviOi=*8TalIc#Up^%0*Kj&OqH!@M^bK<5A|v@Cw%I
zVa;8^5{0TQ=@o{0bEpS2jp5>RLH}vlmY^H-@iWD1%ThWYX6DlFDEip`I*Pu6`|D$*
z>bf1q`#lZ)cGi|8^@p%gaY=n3ui3d^G8JXZWGaQF_;eYVNvgxA2-4hhV@rW^E436(
zLg2^txb`iT>cDL%foeml1Ca%e2qc!%2;`IaL?V#n$r6ENp}0|_kGF+Ev%8j<BZ&!T
zcgkKp>bX6HV-4}foW;xLb@Wx_TpkO^tRXqzr?48b*t63ncYrWC;K!m>`o428a7d9(
zcI30XfbH}xjj7Tfg2RdVG_lWx3U?$mLr64^-DueWTPugDq_N$O%#n-UrKvA<Pglys
z(kuip*i46Ue#JSpBHrcN0vi{>_%0R1rq3Nr69zKz7Ci&hw=oXpd3t!C&<r|RxcPMs
zlR9y&e#p3TsIPm;O(2!v+Z}PO*MJWr`AztU2Y%s2a(RVYTd1yJr08a(w3+BNg$WLk
zi`QJ9>&U&H&B*AtuA3S3#xi*04(qRBqgf_+EN3&MZBI#h<fKJ*vt6qUB*eIhpoNRc
zB|8%#E@<4mzCf=mkCQJ^DdUDSjX+@DxEZ>=`aXb>8aMC9Ct}=?r;Rag?jY&h)t2Aw
z;vs;_h_(rQkE7EKddceHL3+c8ebDRmIVe^`C;j9v*Gi~$n*COr<Xcur2yado^a@JZ
z@qNcW@a&NGU}aRKd-<n0s>P-J(i<T>i52oVP*8b;>`~EbbD}yk({^hsLG3l|t%|b0
z5R)&T#+e~5`T}-C47bdlmcDm#D4m!mv0*K6@KxvNvTenUJhY%q<4PvZA3>)ZW8w^<
zTyE=ZI))_{&?neh7%d=41-^s@`?&~(Xg?vln4MQ`^ys-MIDAOIb0^H95n2jjjlPHA
z!S+#Miebi4^l@xKvxmMbrf7H7P}8#PA&wDHZ-TxvI+L=8c5o48y1I4Cey-rg@QElm
z@?=qP4B)lo58ccbWIeRotJb95Vyjvko-cIBs3)Mu(G|pVVFk)7h(n@P`iGlB7Xywo
z2Y!N51P|HqpMt%J`aCS=SzZ@pIEpIRjjjtY%qvEx`CXbWxY9YgO&6HP&3H8051np|
zF0fH2R|1=dQi$|F$gppe{_<Y$K@k6R3l4YR2w4dMZ!8lu7Tt+s%tWs(ywFU9Zz8TE
zxICHRGJhk%y1BcHWzfjo-5NHUWh^?}-QB}?XH@Z_zZOfJ>Lsw;%Vpps&Ts-P3Od6$
zpMuWtJq3DY&M;rVQqC~vAc0<+Gwie$J`7M&claatM63n!WU&_38tZTOTlCtscwKzq
z>qfN}GB~UjL;CS^UHQtBAPUgo1wU7}Zsf+JTR5Kqswr>b{HbWQ36Y%nztb8HA)+t8
z5@L#2J5Pu?m$!B@d_`ZuZZvCW8+^l=8$09kaMOgI-}^1+*fv|oG^%9lJPw_1jIHCM
zRc`NWF6Jb9`cK#@7;PTO<9&|scvsjBJIwbLhL59$AiC%$I2>$I6<&L0{zRX~7Sx0N
zp#Zs%2g_#&I!VxJMlnS_*y#gYC+);1qLavzMJF+U*W$tcS}(Y_4;L=S)%$~9hsQ`q
zS5bZfM(aX92_Rm3+o(Fq2$NM^4R>%a)m4CH0HO^tDR;iT8VEc~sUSll`<@T$Xx9?%
z?OIQ?P5<OvSI8DjY2rHjAbkas_U1j!GrdC0n60T{<Jj;S`>V8Oc8--Z?i|OfDV)X9
zk`ZQ?VJyc}vlWdlN0>GAjNj-t<ACe49dHzjzEDZ(uEMh&HgqPSq8aFPV^mr}-s9SB
z(^5K7bhB)2%!<yIR{?Y9kx<?N=n+97*)mCbWJ(BHQz&#9;GoXU3O*4<LY^#&WR1?v
z-95+@?!^IhaMrFwc$9Z-I>Z2yRflW_32U6sFz?5}e#U-AcZ7bM(LDFz?b274NB>f^
z+T5sDtOXlpskLA#RYm)U1yag;N*O|<4`DZ&ZYi)w_?UBao3CUVH<MV=gV5=-rdUiE
z-b9MU1U_>|{smhbqhgVx#ues5F^OFFI=y<(!@TcWzt;=kldm+wC_Jj-4Fs)5PargK
zuS;Qq;SSb2u?2Ooz9eQOIe;&FT^ua-o8DrlhhM5~d+i`#m#YRVNzaEfPq+FDK{NL5
zYxsDvWTPfsi7;a8Y+m1@^ZLf9^V$YT$>x=D0qSj;e<X#^7Zw!0U|Y2zyEwra%zOqQ
zruzN|_(b$Qd9vvHh%Urh9LKw2xH^H*64&=@$z&F{C)_-$&zJ+ps_TdQi+Ab%Vy<)g
zEfPL+^%@0C;Ku{$M=&0B2F_S1Y0#O%*q`f_oBoCpL8Qd3+;I^2=)!QDS?9Xl%I%_U
z`uo3Jx6=4|5(83*D$71oa#*1{7w#!Ov-`|Swv?||&~kg&F*oh4x=7Cxh&E|+%aQ3B
zXjJr)g`@5P%%{-V0EVORSRxZum|e2)T-=`Gmn^9CO>kWFx`pG~5O!O!sHaZ0yNh}1
z*W^%ZKM(hMH=t(JvH|iz3&V8_b@u?$q0fStC~@6F9uf8fY|Cyqoro~d7!Iw_SfT3{
z9@1KAWHSm7=Ia)aw6&Pj@4Ck>zffh)yysWSPO^`>0d*p&5XpYVJwSO(tc7H^9uZlp
z_^3+Wueu>Ei;DcV(tmXiFaj!Yj8VmyoqK=ihSP-z)d+QJE3K+Dd+zb$-4z!AEUsh&
zUKdXnWj0E52&aG+z#2~%op+upc{CX!0c{hwYdc-E55_MreSW&ggn<mt(J#Qv-x#<0
z;-R*$`0ff_8WQ*%V}v%;Kb^f3uCo&fP4t@p+U)`mEg4cvaC<b5t2z_Cyzt^OPju6m
zz6853W77ld=JT8?!xNpR@9=wYi!&UcqDh^AVfmFnC-E(AD}zg(?sN+_nq|y7Jl$zU
zG2y++>)MS@`!w2eM@aTMdQC^wEno~`2tt9V2D#S+Uy`m!PV_=BUF)<VijqJ|Gze7s
zRUcCBv5jPEt*W17(Tw;aru{-;9Ld)STmh}}msq?B-dZlPz#_$3()6@?y~8-cBKINL
zFLiB~wGQn<5JME~8jFMgXs;^E%Tm`^tU||j{E%xbC~}l}Mz`V#LWoxb6~m1d>IC0C
z$^_X8IFU>5bz{TQAL_^-8fD~1N}x7Mp>oliEItBt%cC}RT2+5K$_xwPmYCffw+0*h
z%cG3^C1~VQxH8$6!tE0y;Wp|^WP3&<+wY7rL55nxH6d7{$PLRiA%=Q)D&lgTgs$L}
zbVIra13;fiW-1wCuO#>N^bqnu0myE-K;`Dz;>W5xw*t!HNHM88Tq94?FuhR6;<rE*
z(Z&1DR~OPQgb@aIHPmiwR9qJqJ864y8Au3%FM<{>{*w@l5SK!*b9wnSBHU`?K~i@k
zb`*&lvI2qm<YFo;9M_1Tpr+CI6EHCvjVDi*X#5&?-*3Z^DY?BXUY8L3$f?B{9M;%-
z`p7vNa;Eqjex~*%CijRT|FX-@F8jSD_$c|c?Nxi+e_F;9wPWO0sssp}eCLkz`=agU
zKzkPA->slh591q3E9zCETQ9qe+rjv#qVxfQ7E@f_d70=6GzD8d3ye?D73YKTpXz|`
zbPi|<t+1h__^AEEC+~L;U=H)J0SrM}EK$sdY`)uovgu?sYZ;7jQl`%QQLQJt{*tXR
zM`j)wqgb5m<1ltk|Cn#Krl_#%2OgTjFjivfR*D|+x){dF7%++v6YCJh`o@|uy0$RZ
z*NRP_hp|i;$nYGUhTb+NjFrozmxL}@9(Yv_TN4stc@smcF@7Z_D9qi-!dFD(lZcAf
zAc2WhFId4F_UN^%R4j-ji?YoG7e)UM0h@__&fw#=jGd8ia`-KWGuVQrTKr5*&e@FT
zAaYy?4CPIrp_h#uIK)k$gZM-e63COq1Y+RkMlxqjggzBd;RA%FGJ+xrlF{8@i>Kq{
zax_zNBo<Ti%oDJYCmptM7e{wCLM6O9-CrX&bsWVnqa7tTb-*wz#e)}mSV(W;9r)o3
zAzE?x3<;c0hcmEmPxkJ^Bd|bQb23U2Ch0`n>Gx`o6MO{Mbu8V(vUsZO{mFC}f75KV
zgTcvk2M~G!H?G8kbbq~5>nDw7JO`J!wv(V;AEXnn_nZA79y~l?pM=|cGKEi%wc&21
zq|<};Q;>iW#EIYP!jGMF82E%h`z-vNW<UGACj8o+bZXTFzjhW&VYqR~F6ylg(gTZ~
zPSWlqfmC>6EZrRkwFJ)%tw459YXEQdK$1kGTdj3kEod4;moxND&<x0%>T)9q>Bj&8
zWEhb(X!>zXUhL`x-A)hkP$2)bIXJO3oetriDE@Oi-48sORADwrKhEBc*Mo)r67;tR
z%(XV)3TpHMzXflmFv%#uNev!M_cYqwep2NhvW5MbezJJ<<wxVj(jdK1EvyE;UZ+<L
z{dT<>^Z?HYDr_dEdprF^?PZ+wGDv5&60M8qcA(C55A8RDfw#U;EzlaL`*031ASwhD
zHDOMJ6yluirM|xu0LJU^duz}hqz8LJ4N}Ca^`Hy%0mC#1VkaPwx(L$*j5O-iZZBAD
ztbkFU?(zFcr<%P=w>E&NcGvr@ZdDK-AeOv<5NyzELryz%vzNR9?6zZE{_IsZ4*K;@
zb)|(QwJ%udb|8;fZb_)5mQ?R+#0^TKd#m+Ej8}odL>QEloFT#^=`NT|3@qR$5LAXv
zce85M#YPh*cV>_t!Y3FchEOroffdHy>agTHd;YTc2_(87xe6$!y#$2VY_uB5;Fc}l
z`N?>?ryF#ufR+Gq>L3RVhS`O0NJ<N`N9u)1(v9bj9a~;rp6jkAVW&OU=`9_r2lpL=
zn(?tgdOo%wpg@ai60~5U5?GiW@c!tfFMcUtc294yrVWE{vSBXd!z7&!FnS|M7RfMS
z(rUsGQ;EL-TvSiO!HFH|EYM`DD%ewiUyZv+ArGbd;?;KIuT;avQrLw5fqu6)J8dBM
zU2)3?M!UBUd>sR#4wB#WXSLa>`3$wQwGj3iYOwH>-vG-5h0ywJzY9a`0il#M62L!|
z0}lc9bZU+EBG3RA3<pqDz&DT7di#RbLQn@@U4^m2AV{FM^J~qHf3_O5{6@11A7Y1t
zOeh&1Ot%H?`v#y+(j8Pp08avWVa6a3d{RxoPYXcg05R-`fq+~Rkd#0Q^<Xg`yaj}q
z@)m_Tc@4cSiXRim7IpG|5?|8i=rC%P7r>u5ox<1ntvakk3Qor1#cvr@NIB@2tHY^u
zf&!C?<Z+1opkFA?3tUZXBv}`x<Bb?J&)`9fqWm_D1((yk>zC_VQ>7?fUj@!I+Ey@2
z(01T8oe3ACCsFr4g@5ke27k`rpU+LgpD*H{OQzsY1^=v0!=K;4Klmjv@&!S1Wk30<
z0l8a|+&~%O6-4BkB60ymgqKuAcsw)0Bb?+^ON57RNE&j4smf&Ml<Y4P<CB=^{dBj?
z6J$Ym*BYQTkRo7_=^GS%ydI?-`3<cH^aMQATIe(dn~|#LX)i_XDW%6LJ}PN+K<OW}
zST8}fdA{BkE7_7xgJ7<8`Y3h>=}uUXCeS*}0hIIParXXUpv1QiPJw6v6Ba}*5OxeY
z0S5$H+!L?HAc*+eJWalue@QmI;B{?~)-V9sYy;In@g;0tYq>CPNr?0FNW9imMw#ZR
zWeeXmgBDJsX`Gn@+fw!k$MG9Zow^;S%&n>Dr(>X6VHXE1rW2FMLVu1>%tZ3HK;C-<
zD&c?W%5kusd{7r~31yRPLc*nXa4lW00peP^j*_G;i#^J@={q`c+)!_<^!#2hKkdPP
zEfBL*uN)!IXc?jGjBy9F1riNp9r3g)Q62dufj^lU%FRt~S*E*)Y6bm)nv9Btw*mYV
zvt+)&jpH!IOQ9cNMj7Mj0il=q!V~)2DP9xlxwFx(HT!i?hn*!9oYQqQ9hjD-JU;jT
E0mRJjmjD0&

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.labelers.data_labelers.doctree b/docs/0.10.5/doctrees/dataprofiler.labelers.data_labelers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..b64bd7f1c7ba5d40cccac9d24c8412ca7dae44ea
GIT binary patch
literal 248623
zcmdpf2b^6;b+;s|SSwk^O}1IDbZyJ_lUc1B3HE|<ljUA;iLqs|e!Kgm_pWx|Tfg^K
z#n{FU;Rl3EUup^%7fdk_AQV$$o7e`^69_HDd`ak#?}Jc60^d1j%AJ`zGk5MQk~aP&
z=<S_$=6}kZIn(Y~^16i!7B0a5k^@^a)mnYmNO^Ly-k7Yk=92v<8xynBm3n*bwR7w5
zoV#tVlq_$SceWa{&56ofvH)^SRBKa{%}RZ4%UrSwv$tzgtr1>+S*tS9t~Khicy&p2
zX?59_xl(m`vZP&WPgRtp<baLkb~(DVJYJcqG+T3+5%Mj*rm_nOFq2<2M-)Moha^j9
z%0NSVu6j_id`uEu-7i_nX}vsIJXNb#<}RNdFDC=#cDq>{pKU`Qu}}NeCR<4VvWcm3
zs|6q7_mX;fn*G{;a&{*DW4t`Ey;<3cd1jMk?eaEEnyVgI9jvab9#!41I+R><(zPw1
z|D?;VyW!L`PCIF)*@#;wO+we;*VY<z?IfVEbrPdYOBk8reILQ>WAd+N3%a)El0~!Q
z)dk6tT79yzOTmpnT3riWsU8iG9Si?|9Q^+Y@c-+vTYyZnMx7}oi)YHU=3Mf$>Bi*j
zROOkGN|&Sgx#UEadqYU(>e9>GbLH9U)2bU3OkSLe$<|7_J=?5|jW^5niK+(6NdgG^
zn!+-(dlZp`&egX?jjcg_0T>qojLVbdATs4`&GJlDfik)5GQuTlH==g4T&qXr`eZaw
zZ8TbyXuQ(iS*g?`XmEA{X`Q6h*}C!p5sC!4BTR%>_qx_p^3MZ^&tYPBd36m6w^Iy|
zBWHnh?o*r)5&|3<VFpH62xmWZabDU2-h&lME+%%3rK}KQQd%FCfR9XqLquf#T=J{{
zK_787IA_%W#vV}L#b8+{6p<4KaRHc5NEvI@z@(sbDS47tyBaGYrK8d1jd~@zHJX_m
z*$97cYJyD~jwUNx%d=B$2E=GotGA;wDd%w1D(|R_P1c$-<#u%x1zM(5W*QUKmdJhT
z`e?(mqiawT%HvZNto%}DqDZt$(4Un=HI5l*2*o&2U6QN|0a0j3SmsplmxAO>xdp$J
ztN<K0%)p?4R3!%>k!0QJ?}}z0m+zXM8g0##aY)-Aih%LnQJF)1iJ_IP+^WBIAF*H_
zxkCd099d2rG1+m1ON0aq+!=J(@ASdGKf=y1-yg}y!d<<!dK+T<f)v~8?PR-v^n;0X
zw9M0$cBMI0gMm*Gsj)swyA*1sijoeMh9jLc$kHTjsK{d`6Bc7(0XX|Z2lp**aFd1g
zxw0y_h~i%Xif<yWA4<?+qcgL07@o?8<CQEN6%E5Lz18>mTAj(Z`X1iu>SSSLRP`pc
zs_I`0qn;dMF;Nn*l{1z4BpC9sUEo?NU~|uAb+Q;s8!bJqw&Wi7z+<g!ooq~l37bn6
z&Flt$2tKrT&w#e?*BFoIC_}s4+*WDN@rJ-T*geWdjJf3406T_;WA`W-7;rIxFOLF3
z4+CE;2tBOQU45@aXyL7rKerlP{Xc3EqpKgw$OLl7)i#jym}pU=yHXuDjHdt7)3oYj
zDkxXKu0Xtmfuez|x2J+#{f-03itZ1*Gt+6V2u41ILSc8_0O-6HV0fc|Avw}HP;voH
zr5H3@8B+znjIWw*#Ye*I%7dY`C-GrW2xwG<!>PRS3H}DG@*x_?iYKM0^eQ^MAGi>#
z&siCwG`;6%`Uz8bqw1(CJ@I0wLK7WoCRbwOGYCIJQ@l_+kN_quNDh*wwJ}p^mfMY{
zVxy9UX9_uhUpfLedJ#w#HZrC)z5$C2=I{roTAnPe)oDtrjE~Gr(!AMfGvk~61W7^O
zQJ$Ku=)@(5v}R{!8qM}tYr5QQ-#pvE>GMm$*u@Q%=1w&52$w&aQNWdIPJz4rQD?!+
zygjbkW#Yw9C{+F4<Zr;Pe!KyT&|!*8{lHImsvoB5J%6uJlc5crsUJ3zuYT_${EP;@
zP&<&A9gjCdUD8y0bnOXmcjIl4Yz`Vi+5Fr98fH`)a+U0#{gm8lQj)J(jKEGb>p){Z
zmr<ytEQ3%b@ux0IzxMXXp+vucLZM2uWRWiQhUnOph&Nyn9ZYd4QL!;>&`(%rN`xfj
zE79T5bS9u<S0X<W1(fJ?Z+E>)luLuAL<>(95(mF@VY}E*LkH@^NDEe<{EV*#ACkuf
z(zz=OgfuG<yQ#NS2jNg>{KVpm+cWD3ZTBLiP7%W$D|@^7Qo7A1rHWc`w>z#N%_eFJ
z(p$<Hw}x0e%wXq|0SqI+<P4S%=Ja6A(n8ZRav-Zqll`~OPEFBdy!t|%o=sMVka3qR
z1d_^VDag-b9Gqy>+v<{sh)9;IXUlQuEQs(&5YFFGn}jGZP7pC-Jkf+0c7=k%=%z$v
zHB?NQcw|@xhP$pu3P${T0yv%vmJP%K1H$tmu!W3@U(LHl-tWNHT4ic-%!m+)U@ELG
zQM#grX%a7L#%2bt6k#X6^t3urKS`vaqQUsRMPQB}V7z%J{=)<hN5<s|r)0b_xjREC
zB(E3;sjWZ&R}X`wJz0(^W3_f=I$Jyy)@PFFm9DMBO5A1)qzr3;;w=#4-5_Onyuubf
zK&)qHVC9aj)<JN33Yuw_r!d0asBcr+gNU|2s1<)D7_4LkuC2{fCTd%26LT+7%}@Mt
zsKtm5#9v~-J^}v#psSNbQOOuhFiCR-%&F^w<SC+SmFbykxmDAQ_Y#6l3|9OvT^4>~
zG+{U|iZR5=(vKL)-zSpYSyju;!d3`PW!KD9ZKBqmdubYC$xM>tpF!R6zrg>zBz_Wq
zB69Kf;D1DDDrSJiKZbA8rY+nodI`Vu9xmBW2hmNo(nHP^18=>}Twi*1CoLZWg)*L#
z!Uh%Fcp+pav9n=Y{e~KSh>w80#erQk90_Fcrw;8%CmjrdRu8iAn1KFKr{t_oD0vnX
z>J8LcF+Qgwv=_pvH*Oq&X~7l)>+3q{A;%i3TW?f{DVk|noh*sIcgJf@7F+TiE?frF
z+)9=t&MYwcm^CVXl(G2F2KmAGaiG=5C)C?Vu|I?HBa}6M4E_<efsHtd|MM(03=?TX
z3ycqJM8UO1^oqz8QoSGIPbvPg(m<kzaD=p~tr+0HD43T{g%zX6og~B7(F2n-7JIE(
zz*zBSqrxCd`UWD<oi*H^WtHqNp>8KaxQr1qcr?2mFT-wdEi(s;_jl4o&I2#Jxr4<+
zowWQZDCE<OaBz*m;t{C0FtUkvu=r*t9SnhXKaA^fhSG0ohsfLgaVPEmpl85lrS_+t
zU>jeL-EfQz`z_Wr-K}kki^HL{j18Eg84kzTV99r++i*&*B%VxMW!2X6$A{Z<m{o9m
z7-dmK+<DWc=|z2Zdc4xaO<Ft!28O9dV}?yOaQ{}jTA@jZZFCS(NzOd+r-Xxq^yFX;
zI<-=a2*Xg7V?KdNDzs(@N3)Z#vrw#<t!BS<lFv6P3lh3>i8y!GaD$cAs|%oRCpt75
zNN6(dPzD)?$XoKASU@}^f=Q85pcH1i`AV@q2kDGbc&m&bV*b^q$iH&)4{QAd%ZdSm
z*>QiZ_p_|`Qr7q#@Q?1bmE!j(-;!ll@c<>)CHc3+m6Yjag(Q>5H(r8;WPBt3q|$E2
zgFGBY9I=Zs;~au7=1iA#y0ZYY|FQ`E5C$8J-xR=X&KB%vkJ++<u_dB?DV#OhH`#4s
z&x1v}C&Eu3#zKMYv4?|+FvCX!UfDD26n`<8;x6o$gA%_*`y6r8tB)igkLBkRdW%RG
z5)i+N-wlcc5-Q@K)giW-)L-b8RER~l8P{QVpkAcJf*%kZhYe%6P2UK$^IcOc*D?sl
zlXS+5mS7+b_e3avFRM4$zI5CXP#vQo61T*2T07g`Tiu*&x>ng<y)oT?8kJ~c5$tLW
z+|x@@P_YBwvD1CT(U^Bj?@flityaW`WV55blH7WG#S8*pp4yDlX1NJ>s!^UCYfutw
z#g%y`YZGmeX+86kV0X%av^%9-uQ%G6J%39XNW!%jf9k4vH1Jb(Y22zH7IW5OiNSbK
z7EIo<uk4O>AP&bTaC7W-$(pbY$J`Q!W!6zWS%PERnO~~ztnSj(P3%vDJ;w^L@kv+>
z(SC=d{cvX|+2qEVu2cBz914@_%dHf`&Rsi&uaOj<+r5Bu`A)a#4SDP2+0(6h%XoGn
z`|@ucgloJYIJP!i357tKg0|<4`x~%tZQu=9wl-jjs;tWPyaS}6Kx4uI$&S|hi)=<j
zZI@BA+YG29w12x^+LpSMW8LK$w=<x+7bIThr_~NBZy<|^CF1cWe*=!i1V0$mOeZ+F
zBiirwlj*}jcLn@{?vTR*8%rMX66)Pp;@5@3yR*LLr=)}JC5%7=Penq6Wrv-|@uko@
zSdP@H9UCy#XKdR_wU97y`bXW${oLDW2lIc-XbrM*|Ko4KE{MDVi*#X%!^*7^=4&&#
zLxs)UAxrhD_q3Ti5Zc$r4!4;*-cPF?Ro+0>%q>R145R;ae+!BfhZ}v?PQIbbBH=c4
z7x?M)Az>({eFvRi6bl%-F)yKBLzhc~wu3HrHRNVLB^?+#MxcSGA|hEsm!B85(pjC!
zv}C**i~-vn7QYxKwed^fe>BH5PT)(}IUNdlR+q-Fz>3aB1IKoQaX*{(86Clm4{-fe
zkWDzXEQF=*0=wYcGMpA4jo87T(VH-im7QUZLnb=7CQhV|U@>JXdlR=|tCMBC!c<Aq
zPk__w4UVR<=j803&;WammhsIn$_AhKE^L=gEuPU~AJZOD{OVq#C%O@aQ|fdOjO}}Y
zlT{noAtH_G7$&_Ns~L>n0{?iI@RrgMu!+#KT*_Id_<c}!y4NNV$C)gfadwuQ^|_a_
z9XGFmQncfSWQ<IwIAPW?f+(qv!hXGZFx4hCLTNQ4PU_xN><{cej30q~Y%6B`TKvg&
zW1cP4F1grHm#8&6&cYgeqZppUZ$-08oG98^gS`i^_EKp=Y$e)JZr1SlvfOsr%POU#
z6@MP7AB;c8J0U_}x@=nzm^U1?vS;X`daYe6Pt|UzM2b<1h(!|doLni0-)10wvnYu1
zH?YK-OZEc}q;$sjWDI!z5{bI&lbb#Dlcbd_+0Tj)DkAYe#zI44%mFR2td+zMXGkyk
zH|4D55f9wXDb|qDT#NfC*f68-yOB{5-ck9t-pl37m}2J3v>I#Itsoj~zF%_*R0lq=
zV}TG;HRm5z7_9w~G&<5j6wJC(x5B(8g_)zlcoEU&Ra&uA>JPw1;GK7;)b;9A4LQ@`
z5#I<-9Mj!8E!-qkt4~bLPFA9=jV7#%mnWmzNM(fS&;WjeUGJ5t2!4QnF;Qu?8vK47
za~qY~TFAukGy`jQzk?Wil9#cVYB2Vq-ocSdLk}wj5i+UH7op*zBIK=7tQ-F~Nt>HN
zs9$`6675UQ&>Qo0;~xan%GaNSSrta0<29Wt;kFRw4CCc2c8?Oj3WvGnT9=97mWXO&
z5^iiczl&P%!YkI4zRn}Z5!qqSQqMJxn0#7!i4K3zZ7X;I%XDR|tS;^-3qW+~3f*{s
zR=HG7Bmc`4Qkg@pe31%31Jer)Wzz+xRP{yoUm(jS_wK!go!p62iY;H>Nf#j22ZPNg
zUui^cAT7$%(nW<OlqL)-|4YaH%@RA?x{o8&_Ik1yVG9cP`x~%_LU;p~P#dObMmg;*
z1+2+2$Oe-vG4oFvHR%$kI=<ntq)f~_MyEnK1|lc%xK;H*g3)N#9`Ip+xDBrw%Xke{
zs|0O_yy}~gnq@q@kQ@28E;&#7@w4~iJB+rVAnnin4cH}zH(-$*OmRp~mrGGg_Sb7R
zII4u4!X?SR6y+7Cg+NAVsP+gy$#!gc13}t#yuX2tFe#>8SvcJB+B5vr`rt5h(ku23
zsVoq$eU6t<Z@kv889+m^c<qFrk`Cgvj6efVMNqOfE<Z2EYg6|iel^+v+@26`Ri>-_
z8YRcj!6MhX?fX-2=R?L0efPcPA}6n^-wy5jLWmqHevH|QK#E;_3!u`|h&7FJ6tqr`
z&UG~D>N+^#%$Y;MxLdic21fZ~+R-_a5Kdzu1G)v1Z_5@z1R2rE&nP(@-;dlKjPDC(
zGLH?;AMcYuzMJ<CK+eXUN<9udeXIzWBJlJPEF=X3gBRINy2S%er;}G4m0$|PHv3n0
zase8z;MRVav_Om&q8wt6zYr$oDd`cZ02ljf!ChB_7I#6ZG$yY^qrL(O6phNB9>yfi
z#W99zW4Av5AbdQFfBa*kGPhTQ#PM^&KOo}VSycz9=sDq^Lfu}3Xve>VC$r-}gN`Gh
zXUVs|9xNl$j3fmLfweJPP3^NQ^!LRatdTAJkmM7T)gSts;BJ4a7)(z<5vq7S1Zo3j
zi7NGp23~&%Q9!ua85c7s<Og@R);3U)0Vu*Qx;64LYitAo<@7?tbj9>TB1r*)b<1_x
zcFUMoMnp_Eg6bSvgh@TqqBD%j++-_S^v6V;JFBWi@dC)~JQ1EfGxJQy?nQ{SNWzoR
zq6|6?Ewbdhst*Dsg(T@m?Vy)tKl1f*D2IC)z4TTo;;D}ZXgiOm;;<PQPyJhF7<zRM
z=LOJpRdw7Vj3DrHIJaV<oKapm%<bDrB0TxQ_*F$Hp#u{y4`3Sy7%46Uu%E*`U@iPH
z5x?~pVh1K-;VDZ1EypGn0J+Ih7JSwZO~gxK^9Wgxcp3hB5OT)*%U{dkmwG^gg_yfN
zBXR9SwKB1NY^F9-!5bla7F55uo1nT*Qx}o-n_Uwgy@gV1du?WHrqOE4C9=_IywR9~
zQx%)aQ!TjlrqXOSnq!Un*mMo<uxwAj)#qvkci4TE-jwk1%+Jzv()jvSV7*&){Q>wd
z%CgBj_vHY*i3=T6NTcxQbj=esLr_AmQC^k2L>k3DI9oz6(3Ye#@kf#o1)}-?4u$l%
zq5JmU-}oD_2g-N@mgpCzs6wY44_J({&U$XlVqhVjCF*@&HK5n!9(z>x$-f7lwWID0
z^@e2zfP_p~#vT#$V*)eX(2GQ$=IypOBA82q77<)RW=Y5*|4V1VnSNS2hzT+h-6NqI
z6Z{^N<8*0kZH@)a=-xq@0;0Q?6us+z;_bR)9qlTTm#}rTNq+-&&EpMNG!IjHrFpj)
zb?pVs+d)Vg4cj%(k4XW|dxN*zUd_v;p{VA)!%s^Gn#V{iqIvmwF&dxx3h|R@{d*9N
zf6UwY{zu~<u?b&x;X*{?Z3v{;#h(RK`W1~oKFm3lA$i6jiWWb?hiXs|e@Om<^U%GI
zc2;4t3*4cCVI%3{w&=D|+8x%4;O5dg+?WcHR(Q(-v*I?`#%!B8zA|#(v-+gLj(>&%
zGZ_CQSZ-jpikpAunRiQk`yuZn@U8z*{)H>_QN=LGicTo=|KB5pL);o%0uEG9qWqU-
z{phHKJ|)HcF%ce013|?=rZx?WYAx7;JynBEjr9RBNoB5r9{RVr<2;6GOOoP8)2*X|
zky3+o-v_9yivmYLb&hZ*CTSzR;ZEy|0*c#hce771s`Im$FAIzidG4&LM_zPU;54Y)
zixCAhB|w>gW(FTeK+}@%<icVkg&-+j7A%%YLpp4@76}f^L0$<)9!y#Niv%}iJY+?w
zYFpuctXUDcXo3E;+7;Lw4A*GkX_HpesKZWg{#e$4h-y?YW8_mbi}TI(%#tDzCN+zp
zPpa^{MbIlkV%1<PK?D=f?AjY9sV$|aoq!P7{8&)UUSL$`CLB4))$CRx&z)6Ovv?C^
zF0gKJCuH|xL~14h%BWceABUP*@@?#iU`fG9dQ%^$qe*MNI!@$pD5H+vD#hBsfdRGh
z&@~RWfuZZ)QP%u@0P;>Qv4AJ;?2?F+Dt-otR29T6riyRy5Ejbu4GOOfe60v2v^Mb7
zaDb8GLIC?Y%-05l7guO)K)CD@K+D>|CLq_hHh}4DZD7Gl_(f|2^s7H>1D8}QQ!_nV
z5jeY>6#=BAi**3!REzfz9xAo&nP1G>W!vT1AG#hL34Cztkv~v>m@K<D-%-flDbFx4
z!t;wt>=r5gZ9Qd9A%cMzW=MM)pMah2L73r>C3x20x<ZIL&Z+_C?l%3M3hig2%Sx-p
zrav13sjZ2h0=4xk%y5(|%s_kv^Nuf?aK6wa^<WNdZg64EM!3ff9z%!MN~Z9E2RJ61
zx|A&$Gsw#(H7dRlTON#W-~<T!>K&XY6tEZHAqmzW!uC3etujzvc2Ru>A}weiarX`^
zFS1=c@SboQtQi@&VzzD1rmkD2u=lvuluO$gmuf}16j!kXJ7$~WU<riu%*(m02#I0`
z#4T7zDg-FGB?6)_FKh?ID~eD;Ue3#)gwMdBU&h@?q&U#a*%?qP_i_Y_gchde$}+u;
z`3?wSJ0yTvFNcK`JUbvh0yHu&=cD+Gyd3(~A1~(`+6Xl^U7nf2@KaZ33PD}rmCyEW
zI8}I2H|~x`QWt*DaW30$G=N71;|MmG$eR<Ei>}D`N0cwp7SLScE5IeU52Qx?#h}RV
zfc%0im^`reb}AsBa!-r0OFxB>@FRoi*~$a5ctTvl_^PA!r0l%Sf$@8eDRA+>U^V1V
zY3yV7DDgSq($UCrebdjq1O%}yZ9O#(@#9c$zkHcMdFD>d{F5s35kAKmlk0yC!Q8%C
ztMKi>B!Y5}Z|Vo+<dRYuuQ&iiX)s=n|G-5m!tUpLU-M3R3Ff7|p8#`qEv9EK$eJQ(
z3KwJ$3k`AYaxB6qF32!yH(mwY+)cZ`%W%iTL=7(Vh2e~(f?pE>8^qz+Wo{IT6_Qet
z6e|bvbW#xn$n_b95`nG{A{FTR91&0}cYTCt2o*@Jo5%GLYAYG%a((s}L#u83=k-7(
zbAE2XU*!DIul_hcmvQ;%mDh7_*Io|@=+evEb7i#Q8$f(AH%E9bQdr}4cbMpR?&q|C
zAz_Bm@N*inU~=EQ@N)nu3iqTA&Qc~P!gz>3rCA_H@K0qwi@P)_M)93kjm4#*rz}&K
zhW^wEc$Jp`k4s}~JyrTRhI;$u(&Wjk@MY$Y<k09k#aWT-#2k`!Vr1mVnkHEuzZ=^a
zjNci|b;J^Pj?6PG-=1RGM^EKbMPL-3%Ez(L5LelJPX%6rZMAU;S~n-=XUSrGI#w?*
z7=Nh<o#an^9!doI6WE_Xf8wJ7wQ_$#FtCt6Av8$B+mS!<UqB`ECw_;&$e*BJ{qZL@
z(<NeCn~mwQ$y#fBw~I&Yu10xNQ&)#dbjrH$GUl9K20p!!_FcX?07rX=>1MXPcR3<h
zhq60Rxlv}mCrS$ftR(mtdNPcof0UX=1Nfn<I`nX!A`9-@yYfsKFua^qW;$E=Ge7H~
z9V`1@-0Mkki;ux-h@SKe%qfLMh>3x6=4GW?1y4=Sx5z6S#clzf+qiP~3~v`5`|1A(
z3Wc6zxxn9meLp>Kz_OnnQ&dk~Imtq2>#4WK&O3<LS<c;WF=}!LLtM*@nM1#<nc!nA
z*At9JyY|iW43N}sH7BcLNfsXyIEAWJ1ZB@WCUA!zPkX;^WwZv}Q}qge19nN`4Ok=z
zQyh}i?PCJ>7*!iAR@RckMXQ60s@|Fb*Zrozhy5hm!Q~BP)y?*%z-Rm|bOcKFO#$z@
zu`D3&tE&FVPp%ITLruMs?+{FwTZJA>`wuUn-s3TT<p3JA<1xPFQ1USr9jI%RF7|N;
zhhrFl2A+zfWX)cFUfi`}8=Up4sye=p-7x@lT%Ycd9PNcz4TFSRmX1ja9_WUEYTqnP
z1l1~VS(t-6DPQ9iAn^SP**JHT8SbM9-R#rHunn5|ZTbgrdyyNydHSVz<20Tt!ikHx
zoGHRt5L^Y;g1c%aVd^tMuM6UqbDR~*_)ceqrLe~rqM#4Pn}X$C1c2rtN6zD&1de2b
zK)t>oY;zGrMJ(vKSZIh(WE`=e;unO$dQ+2baF<tv+3s_Xw$`R9e9hCm(n!o{{BxWg
z!Ch82-k%MntY?6lkl;82gh`rDX}CuE;e>R;Vx6G8%&1HsPE}hEvM-J%yo88zXH|!V
zq9=e}4t0AGqN52Cp3KpN3_6aZ36^|=KFN?)Bk^Vfb7Iz<jw<GaikXwaxRHY=LeDS%
znxd>Z=X%H{v)k=kuptRncj=s5@9w)tRWQ^<e*%u{ivCeTNRHei&=XaR-QwgG2XUI`
z(*%t5G!G`JE#;i%p}j7=1GYKFH;n4sgexlZH6qWQRaKezt&q9EX`XLEb}vSxG7_MS
z%4G0ysEj3F51%`b(vkGAQcy>e>U?$lL=LYq>gcUfoa?Ct)XFzx;z$^{if}Du?b&vd
zwNKGi#VxQ10>AU?C@hpSa4XwQ4%!Hw-lgU7$`l+Erx3GP7Ph3MQejC1?w(wPU|P-D
z0403$1nd~+19q&(d|1KGQ$_TAIX5!eH`!q_l9w0hp5VtNSSXwy2cE0H3CFl$I2B-6
zGx>B<CxS`s!q#Pp$Txgr#6_<plVIGKpHBz|B3wu?{1$>Q^9dKd&@!KxX-S4>m-*Ou
z;@L6%Rxl!Lk?-};F}BD@zxuPt_q=q@I8_^O!nU&>uk&4IUj)Oi0Xuc&DjX-Si>1Cs
z{!*VnpbodO(gQ7Y6`Z{TduA2yy&wasyX4j!5mMp%vEL;N?#-RExgd>X#4od5=^#rM
zww7l}(aqo|B?!fr^HKogPhd61a^7+&Bg{mnmtz?zC1t^CF%}X7Ec-(z_#eCkI~M1@
z1cgEu=f3A}z#io04Ok-An4*fO(${pZn;pF@i*vs*YH|y@I%2730J~kB`z66>v}+IL
zGeF$qh#IAS!d9&%qK#2%o6OCRDD^?Q92h7n-3{m79*9x{)jsc2m{cC6ws9wwf%raP
zbibn1>x0KGal_R7v--5v@P2Lva%0tJUFwciXCm0QH1K6bifr>CUWTo^u16a1_(D_y
zh+qfn0?ck`3*%lqbJ5uVO{_YP_jAt#v5SBz=3dXmLPLD`b_B7Nx$p@%I;WTP(_gT?
z(Uc}8I!44TcVwRl?tnIlf>PFy^b{mGLeiL|jmgINTPP&`BBL_5VaKUDzb)rai8yyw
zbqpvPl72DN?L~;<YZ9JJd@X~HBfe(Iccfb)q!CCwnZP!fwWh;|D;!<R!BUBkpty%l
zgehy!B2}M;>Qs?)vmVLik*ZH%p>XZAg`D^_AREI<`C%(I7=O74!4#1A0wLz_7>`t8
z$9l{MEh?2Csrq@5?g@VU1Pg`pBNKrlvJ6|3AE{b=aH#00RwI5h5E~wq&xuq)U7C?4
z6S4pZ^EroX@E(l+2TJGU6Ok%JxR79Y%|k3ARZy#{eEvfGY`^fcB*QI{D#F+ksls#?
zsd@%r#UfSot3Q#dGQ|P#D$}uv#`H|1Ua7ZRJq}h~X^-_32v!;Nbsn#J?#T-mEbzMh
zMpGsAiV-*^4goeeoQP}bO?KkF(rk@TPvA4Y9S%oIM?|>!O67WzVfM<ns|s=%>84pK
zeHp$;KCIvL=_=}MUA^^WugBc33^qw(g2-cTm&$_4`}W@1z(AMYke*D~?NFP#iP)7r
zQI5K_TrwunC?0%Ek&K^*)fmCINB@_II>A{|Hf~?otB&!S)6)Sf)tUtx^^ZFHX1(ll
zgd%T-LZP9^7y28pha!0cmQW<7sKcNViX83S7BZx=UQIVu>Nvm2pxf<Yst%Ap@YxM@
z!FxPkN4z%3wZ}^t*W8YY8ZVuuY89P0g~l4!kYXE+GQz)vst{7o|I*p;aX%aE{rU)_
zHRv$IXZ;P>#ho``5qC^+i2I3lad#qRZovVky+{>0j{joNWynWIk>DcK1dH#tiFXEh
zJ~nqKz87nEpu5C4$TP~w^#NMlLcWc!I)C;%M3<W&0RBK&g*~TokiP-Dobv`Oa*inu
zIe(^I&cmU!2!2;}>PVm92cjcQ=!(2x)i@R?&rE6Us=*jnL^bmB;!2p!0h|{rVOREn
z>-}E|yVS;UMMA|yhp&X$xRdfVz5sN#Un^n5MW)1ZF>F3g$7qq|B5wY2*TYWptcR7O
z8r(wKs?co>Y3xL<fpt_?8oPKWiu_<a8!Y)ObT%|EC&|Q>ChzJVS^E0(BDjiR?u)U|
z5T86dmcELg-`K29BH8VlV>!Vj+U(BrG~m%9c)%Lu5T3TiWi_=r=G^EH!RYf-9{1Ki
zN-?CE!@a>+scT3LD5V8}#Xk1CAi=T9hDn-VV$2csRkn3br$mXn3I8oDv)=Is4RQ>(
zPBG=U0>jtoK1|(nXH_ShMc3&*4t0AmrXafnII~Wd!Pl`)XUVrNNZcfTNmzccaAsTS
zkmp*x`|BKpks16j$zM=b|6!7iG>?UcVPKQ+82wH|u%u`#9h7XgRiRhE_^t;OKXIPV
zrf2~Z<X-@Ns=&L&#>;l0T0f`mT91felG>8#rt7M8s0|FEO7=v_da@b&AF4O!?wF!F
zOQ2B3MOL&-Rh{^Y(4p|fs(1kE_F_n?BLU2)P6j`R>R9rv3lboSUlNudRL5*9Uv+*$
z0^(;z0o8e)HdXeFUB*(xhV+d+bMR7g+LX$ehx6gf_$sj^Sv)&f7QF%@l<Zj~rB)@w
zq;MrW&N+T%K!DZ)bL(Bd)*#5wc|L+&MICf!?M4l+gSx#alNw5hGisPY*rA4&e8)LQ
zFb!@AU=mmW6wz!gUlGs9!8kL9d8-sBu-+J;-h4j=`m%w`=6^<6d$zCTFAB*d-`Da+
zER^GVE4$8C<2oB0tUuRw@Mm@6N=|w2$^p!NcM<w&o69=_n9bRO{p>MY3T|`xY?1DX
znbD(ID4ab#+UD}zU{bp<S^jM<4bTm3mP7XITf{}T1qJOU!T6{Ad}5mmB3wu?{04(>
za}jgyLI<)$_(U??vd!g-fQ#>;E=*_JTn;`Ae$lOq^s7JHTrTB4K90CB4A}N>(1n}0
zo5K+cLzhK7U2#qq^^6cHoo``Dh8zTnis|IKcFm#kFa`IQlrPfek+1YL;D+kKxMf&G
zFZni&6J){U-o3X?gFLD{P70umyA1=TYooH0#dlw%0L5ouHQ2iTqDYYyInKvn*V31D
z{-(3~LT_i(i!q$6PJ5DCoA?;0w_kzk9N9;^3U77I9|@$u=Q_@a+;DWH-2{!YF2WCN
zbD4}i=Vz3n5Km(3gYkH<G_b*IzJWZJf}Fh_sAs<I&LSuZ=c$c_hPW;{!pe$o`_yKo
zJ&W%XW3ZQvYxs0=xjrFJLHe>t&L_THAQ3Mq(id`PUIZn4@f)1fa6cFO9O%y698fEF
zX9SZAxidojBnz_c42#oxpQU&|P{|yc58y9yXy{je9GYt^k(VAgHeJ2RrIFNygX4U|
z$Y`J|N9PIPQb&%?W3u4hJPjD;=oo+*4v!Hu3kjutOLo4v1C#<6e-o?8IzYqJD;}oN
zHd3n*n&{T_DO!k&jW8F;x@2Z6ChZ^jyFc`H$m0ardZRc&4@15Ea)JW&LpVcw@gQVp
zQc6zIXE<Xzaf&pt_c=vIMkyNclGWrC?T7#T?|SJ=>oV+5C$Jarep;8_d*&P+Q3Orl
z936&*hPcJZcaDxxog=NUa8_A&l0vddiAX|ngVVIWNFT{*Ivz>{I!%a0pwo14K&{+q
z63j2;Gzs;Ttm(*Ux*DitPSZ8`i<~C<)gPzna@ZPyci(k;zDYi}aUL4D4&AO1PD~e$
z(to%jL86~X-e`1f9iG11JX5YumRlnejb>$JYZDG-k8Fh0P528A8Yzjb3Ot$E8o8SO
z8IJ0+(=)qAplq{Q-o0fw8ZWmes$;F%EpVAnt=^8#j7~chDqzUwyx%b#RhrF4bF5Jx
zo36Fs8Rv=WXf)nvOhGN1%2O?%WJjer-e^JH{PQ)<*$O+n1dL+~g4OiZtz{BKc4}4r
zEftqW`Du_Yw;lICC0dhZle_m`V2k28>ToI#nelt(QgI?LFMT58(f=hvz<Hlu33OHO
zJI32c5BMy`Hs~vOn(Pl<vi?j;hs_~&9O$_N3WXl%d5ymT`_6CPfMw@5rl^{r9O${U
zmv(|9Y3$zu5SLIZ#`7un8&tWY&gw#r|F{lsD0qMNJsGCBpLzJ0pI$ptcmr8T;JRI>
zX*Pg*+~2TcuZ$lkZ}XkQw`f?tsDwXtwfVNc9|ZwCQUy>OzKmvn<Zrek_&klP;Jt3)
z0yugM|9PL*$Oxeq#sBelryz<4Xd}IW+=|0>yU_~`H5ydWDhAR*_xmGj{B-*uN@w%5
z5z&5BgIQW5t0G70A-r3GU10Xp5ezocWqqm47&MUP5+jlNNms0A`TJ|{#OY8dbUeD)
z-+&!Z-hgF1!W74Nv>$kvtixH8Nojh|Z!&7?g@jTw!E$*c!DzJWMce@hOv6K;t+~zH
z>v$X3oU$6l!Vvro@DZk}ex?8o+Osu_PCHddAO6&_f2E&_4xX%G#C51w$A`^EGMaXv
zQBHI?^Ih-#{odX?e8781Si(;KeaPQ{UFUcM77@b~ht75TWY-f$)rK-ChB4fc>)^?*
z$1>o$eYx-YNw$N_8^{_a+jaUs^|#OwC<UMF$^zmZG8Y`7i-*BOA0URl+HId-Fbmke
zBfNxqZC@@8n(fPdvg<@YB^}s5MxcSGA}L<KVr@>8C1dyw$`lZ$&yu1Wzw^9ZcNo93
zpirp8@f?2xc5&nlSd1U0IE>$73^}omTNIlT^}cU2>M}G%VOO}dV?+e|92113(Xd_b
z{FoHbyFc@G+pBlEG-!Iagkpk16!~8|3tsQ1r31}lBzCBIhuXrI8FgF6bBUhGzxBSo
z*V{LTYQ2jDBFwM&guem1YVigvs)Z@NQmwBVbr}-ACsgZ;grw21UA6p}6i}`I@OIm)
zTDdf6s<jy7>O%h5AG+`@I#Oq*jzcG}P%;9GC{})6ywxBL(8tfmfC%j?*a~kTuD^5c
zwz*Pu2?TD%+JSlMjiS1ksCWKoZ|BwdQ~|?IL<Af5At1rGEGYJ5^2-BkAf)iclK@P=
zwj->~S%nh!1#s@rg7a1$xdPRAmBJ}ltieq^%4WB-u4D^KY@=f<f~$jT^_kf=drT2m
zMJDM;X68a+V@G7y^+*AUFF@fKjL#325wT%%o-7{`gU;o>0|sTcOZNIP#T$x1DK-XN
zhlPfOP=T(*pUg;7@x%C+<AP6A;!7cu+8XI(x+Xd!7ewiVFcpFW!sB%M9u*zLau#mW
zWJAAx{yuk2X*L)R^(5WdP)a+ABF-z`3<=<DuTB<4CBx2Pk~U%+ey@Hgn6IetePY&y
zoIf`z)JF}~aAF{epErCl5$MjU+SsBe<`byfixQpJVGwD(jhF2Q*sxXQg_{lB?(U?U
zoDW`zSI#IRCx&PJqclXcvi*ThD0yE2z~i?-<^t!e{}!@$1bE_I>iAqI{R}~TIUvrq
zItaLxFFMxW?u3SKKq22at_pWitpB+`SpTw<euiK@P?vU7fUSPg(O&XY-8Q-HgJMb+
zL7{%3y$tH^NV4PW6;rasFeO8sbd!S(bFlSBb(o@AbjSH<OTHuBqnPAO;>iR)ky&f%
zfx7PUsOP8$@|Isnu${8{@A4Q<*UF+2tRK<nOy45hv4rj;kMYBnDBIwyuB>tEuYQt1
zknz1Zn0H>e5d-xm5?<>-jY%3?y`xCFat1FV<0_g?_LxywkY?RT#JRI}W5>!+w-+HA
zq$NBVq0gY>5PD0#Bb>q^F-zQeK;+Fj^F{u=93%^h{BC2>Dk^OR|8sMz-Gse*5YXI0
zIv`(0o+;ywzcw6n#hW+EQ&Wwd(N?%air0ddNR<cBgB^})Bb5<&jvn?)wyKSta6f!~
zYi+Uu$BbHM(ylz4{$!TQxDsW)OL$3>-ViL3UO5q(^jd=0s!5m>u1Sj#OEFflKXk(1
zZB*x05M`8l2a)H_+Kn!~2kQ1>M7qQP3U_!P>7<*S3w~1taw_n(JYe?^owWPqKEnI8
zPT}>tw?FBmpCR}vYZ|bD(Xxi|Kb^GvUwuUQ51k_Hb+Zl|)Yaate2SiOfGutorf62g
zG2&SAUDFp+EUi+~pZZ~>Gy9T1(!DB2ObU*4H)U2S;nFr3;b?%X!JA?b(&jtNTXfo^
zQl3PQZ)X`#%Qot;%bkyX17i1i1v5r7wVBFPt<K`%#v5do1yDYuSyChyXiz&hSmwM2
zTMTN?hUy$~98A*0(Q9*aZNha%bwSE<4Uy;0+RdPLJ=E>Rhz2zYP{u*b;NwtNOTLXg
z5iBVfNpI={bu?+sSI1}OaHya<p37G;6(!s>Ro;ef<s>?o)1Xn&&T0jYsnZpuGfg}$
z0%x$=v!IR5sNUe`IrQ+TTny!ECjXWgl5)K=SVp~qBb4i9gpJi>#H1c7*F8pcZjDh!
zqPvJZch+u{>prO4ixDZ81Sq3i8GIbdWyyDPVS$lCkQ6TqN@LQHuQV^oK|Z52-YUgK
zZPkFV2frx+*Es?Y{awQ%B=5+qgOuX;DBqH0aE}PyAR!!Y`L{%uRP0BEB$Z#(_I)gr
zvn->m@2yC~F_IkZn<OdGJ_9d*SA;w|YWbT0UUJm28$Cw7;5}?d9;KTdxALP1a`abY
zp>Xt->8;^0fF-m|cSnMW>cS%Nmh)}Wi9n4n+6%xC-%rTTC+;Od01NTmukQSatyoPh
zbi`JykxPDNkJz#W1J7%MxOl@3*p{JV?0_x(>dyh&t3jLj^$jq<moT8*;ptfQwzUhp
zs0WWlN{YHTYP-&}$w8^Vt1C%v0T!u_hFjys<_~`N+74MTdH3EsqKaG^%e{L|=ZA44
ziGB+`cL4Q|ay+0R>ZP*hw&R!ngS{zg@k_9p?0qCpqb_mwYWI;SLS<Y>vcYp5iKUd@
zoi}*9qb{F2B_QofYMJ7jq27LN{|VC!G{tx`+kBHx+6>d;Y{}iNv^IM|n=0?}Dw5oM
zQY_*RVB3T7-vmnr8}#NW((g%;&Tc#E*+nFOUj$6yT0M+~hPZm=Uqo`Wb`goH`Q|+&
z0Xd~OBmtR0TE1SSgXALp1C+>drG$%wKm@u-pAM*%yGVlbg<K?|n36A97b)QCwuM8&
zNm_)z=oS+C)gLG6#%2W~C-Bw;jg@25<(U~6TYBa#J*OLQ$x2!mZqo*r+vI4dEB|Q_
zxYv>Ybhs>-{O!K(KRJLi9I3+`+1P$IN2;_k<XW95K`HK9rGUokv6`%FrEJMwoh${P
z3D;S50#5f5;Bkg*tt-yZ!BB6%oS}m9F1(_7D|O@^9m*M%>mD7axkt77WMvmdi^&c~
zu(6;qiB7hNN(JVYLK9zubPUE<1<Q?amF746SETUw(P!FL1XbZPO=6)TZUgdtreU-K
zuraIL+)aB@%B@yoqE>F>@JP}E%XLCtWVEnYAt^0Mv2q|+yNVz{PSq@w2z06tsX(Wy
z98fEFs)T41a;k(nOU8BNRJ{$TWRa)4@fSH&^s7Hk)zz)?j>=fOF*aFiZSUFrZe2y5
zREoNAp+;RUlv;mjveuj_x8XK5*iQrN;m=O5NG&PXrL9!U2s^8PlnO#lz{i1iZkNg*
zU-^hEo7}(mysG?*({xP8kxFk*Td4xe5KHfG$tISR`?Qwvq5^06w+``FB}_Iy%W=x{
zi%=-^0QHmp2JELic>|VHo|vMFgwkW$z(rBJ>}rB#bJwqpn%wbDbuqzznH4n?e8}z>
z1f$We{fH+6By}Ur4bAF-{Lk5{RgSERym)#s)spzLhzGgK`su~X8+>bu?erog>Jk;L
z(K%%FPa(vGYxNtH(k?f*RoZh2yZ;~<)uW(&->@fQm;C6W4S^Kr_yd4Szua|a>{7D{
z+)L;DA(!`WkyUUpaIVXH^3^adWe+EU7lXI=w`M96wXHQcEH>4c06(Wum)>vjf>H?L
zO(+0^@y1{|5RUMCveU$eb9fhl4_V*0*T)pEFM_9Vf&T;x4GGx+y|5fpRMx{!<AX+2
zVgvaGDH-VbqF82xiHVG{ZA}g~Vi%1VjHHy%_+Ah0lDZmu7L>9cHH;y_u|*A&v|+;-
zBDB58Njj3i2?pFEtdsphqcXRJ1IZT04DTS~+*ws)SoE0Ti=b{VLbQiQ!jsuUlR?L^
zhsKic7-2d*0wU2%LUM!YFxyG(u{rKB(=ixt%Rv_z!S`06N(9bzuBNO#3;cf)s#Ar~
zEeuF5-&651EEKN6zRQC6ND2Udu?QtJnS6qv@KekIMv4mo>}7AvCzHa~7Me_ofl>mP
zolM4W1af_E#bG*|O8ypq(NvOt^=B&i9C%Be#pYW*n@DczCMciM)5SFMEax;b?JWi3
zTBFfat<{EQZH&ga=aK^|SuC!sev&4K#+ifH`V`MUk6b0oCim^r^GFFKJgWd=UQK6_
zhggs`CzH-R>YQ>Zt4K^K#h*IZ>m^_XW|YT4q0kxSGyDzMXOz4F%Zw6JRI9AaC|4+=
zNS!X(=0KRq@DMID>U7&pb=ddMEf-Te!PB6N7^0RAV~W<{_sXkk7Tzj&3%_)>P8y|*
zF4<A{69Ei2+%VktXIYEc;cq)&N*OPPTSxU-CACu!PGh99&()cz8Cew?#r*pXFc2S2
zTr#k<<i)vqYKh_q0qMb9{ViPs+udCKFT%PX^SQbWffVO>In>s#x%x5r1DL#Nh;fHz
zh$}e2xij^3S6A9Jw_+xi79enrjw82tW>L=0!!k?#jX#4_48{+0VuTCj7CYuv56z<y
zkI?>figy3!<Ns6yP2tV|BNiIs`kTKbbsm?75)DMKsg*lL8=`t;r?`{~j*wMqbj(F8
zVlo$sXJ-SKe#%9R+<ba2{*)3!Ueiy5JE+b*KMAF*v-2N9f@5}$N!o~H3=8_~oDGDW
zboPf%_@YR!&MW6)e*Om{&z)5rsEf|e7Xv|FjA(w&05bZDN0r2wyqNyb`#RW3UpXuM
zDAV{TP__)p!=1Fe9t!z_vntB*;gGq&-9ICcJrredG%`_;j1)SeAeMY57EnjYzobYh
zFyCgo>B#4biu`+yOe;|lG)#e$_ODRZo<&8r7Lp?#6`8<7;dV4EDzdW(B@`8DLkXWa
zD*z+Kg#h-lS42g`h$n`0f1y{xF)R=y;gm=KEm0BDJ<rh&OlMJ%yYLr9Md(+5q9Rw~
zbe~=u?paXe{BDCHL{1kmksEz3CF?8wZ;?mV-2s#35<xMXC|{&aqJjTG;HWwr>w}^{
zT=F4Vc5gm|9<b~#<S7#^Ii)b@4A698zQY>SNXrr~Tr9H1|I)eiWr=iwILqguP-vXx
zyZ#33Gk)HHCG3DHs#Ga)mJ{u&NL(Z!=()Me8j}_01?feq&~f}vgDzd#)s3F2bK;NH
z6rm<K1o3}~cLsU(5Cr3bdoWN#5Rcocb%Y>N?T#Nq*m@9xSaY;47DoRRLR|277lL>y
zwC@|jjqL(91X7&izX4SG6@oZAcf61h2*w<m6Mq2t6tY*~SP_9Bjq?W}g7Qi=i#H;V
z2jg>tSuNrZ_wMTvcW$QHJH}`6{_T<N0M``(Q-mL`!9qh^ck{y!8<{ASY=)Swy<zFF
zHDI;{mu)~00%8$n)XElr2pHa`g8Qe=`Obt=*62eO5**P7OwtA>@4OgZO@qTT)NylE
zTAkPvr6Q1bb*Iss+u-5sfnQR5JCX0ss@le)(TNvA-ChhSIw1kf%$qa#Ip)oleCvV)
zNaB}-<p)z^ww0P_*Ic=hgRnA{LoEuN$~}j&_H3^Fai~reRkuJOxqPntQ7ja$^kH-5
z&ljPD=E|QXDEt)j9Rx^mA%MN?6?0`_o(s*D#qcQsw9J)X59IoG5MVl+EB_jQ(Oj8+
z^=Gb3I|%5qv3+O<0i&mj+4AW=?}zu6{lkuPxo5((Pe9P4Y#rdAq_rVy{gh*T8t0!2
zuasr?{e={Php}~Fr3$Gz&&?*PQ`n`VN(Qm`Q-}8i2~mMb?6FWNbQ1eV{s!!mSl)nT
z5{oIS0ahll%9%pLfpDy9Ut-kdHjV1&?w@!vB7&!s7Z8$0!}cj9!^CZ9)hXp#TeZqe
zPUOW^?NmwPH3&!#rj+fjf$eTeITO}>v8ruDAjLUe2DSBTO6gtI=K70sF}OQ}bBE@X
z%Q?WgtJ+ULhi-U=*#X_b2O-Gx7EF3gN8EiGO*E$A!IDb7-IA-^ofVe$C4MtfIT*i@
z6Dx*&L)sOw#Gal7w}kBT`@Do@Wz){rNp4h^CkIYew$|!3+{`~l8-`vxCwBM1c!s8U
zd2*<cXROw)OwXkmljm;)R^Zj7IG5YnKpx^DNVuqby4)TeV9iHovfH@_BKS|eXXH#=
zEG&(TjI1A~H1hGyk28%{Ti#rhCJwA;(?y_iF<#=RQZ?kIiVaSylbl?sczlS7#|Mju
zNBn-wJrv)E|E#%W8Hm?=;3o`5%aef=RfTE>dMUmivgwS7A5cCeR~VqW0L_5u0FuwT
zKcKd;N^e6TW`0f~`Vy3eE`9<3fe=!V1{n}7h4P<;@?a_+R%qd}c(#BfIlCtvhLP4%
z(f97S4@6Nxj(xBohY9JvxA;lc|L+#*KUxqWA4{O~-=@xcjZXX!Ylq>KntsbvHGVf{
zl?@=ej|MdGcGkcnlvO$J0dsl2!mrNi<Aui(-~WK6Liw)tdw(E{wdL;&?>AE+e^$NU
zsCe%P@3*j!5;)u+o66o4Toc=5CtJ2xb`S3;PtC$n@0oH9UMaxG2`c4@s=TE+9jT(}
zS=guy7IC7=Od@~RpjvK6m0h@rnOV?UGcA*jZhN-TRHu(-yj_d`bi&)^0KLF-j|4hT
zD?+J=d7O-eq|buZC;L2GDgn=Z`N9PYxN(HD%(U-(1C4I{IskZlqFshz6$Zg_1TsQm
zQI59Nc2v^)y9cBX6P4?eQLPPcS@0_a;D{Yb6}<o>t^vp7s5LuL9o^TX+zgu0Q=UE=
zmCnEFsw=KK>9qCHwe`v_I6#PR&Ef3`01%xZq`}`|%-O4m>1aPZV6nmIIB+k(*tEvT
z5Ejcmp}a6yTGWu|Yr&RS!^Rt-I!D+TlT-~d_c9wBxo8KKXFJsvqdNbH!NbBg5P9yb
z>cp{VSa=NT_F_a~VF{2rfKcQlgO4LDoXM9O<`_ZSGb$*gYEL$q8s$5X`GfK8MPxu7
za92WMfg?GiE5_km-uAJZXB+KG#v4ryU$Uu(>I%-6t2%PHRPFbAV5$rDT87N4J4I#{
zAoB_+>|5f+Sb4(Q5g-az*Xxu32L|JF0xIWWZ5)&W!`d4tYtPmV9>m^-j`m^<{V)~^
z9z(_9LKf{~iwIJ{MdD!mxgwMhz>g6WZX1W(;{YSYg#h-lSF9TdZzo75V!p>tgh(WS
zmUV+Bkn3AFz;w25@SpgL)(z-af7T72i#x=$0l8;;?Jl!#@WHS7clKt;>S7h)cJC^J
z8k3;wqsL^3!nFyHx?sDbSFOvv7IBcJb4-IQDN>zid|kE9r_=tGi2+$Qd0?M+K2;<$
zyY((n8PI5U#U|zhr2F`KUbnhDvPvgh_#ftHo#)3%z7<$5IT{LqQ=pvk8x^fB98IGg
zBvhyQ8?Y~z@CGc)C77a)JIZp&GqL}mI9qE|mF5VYbAf9~M^sesI=*vZx5Y-td8IA|
zs3X}`magj5k-o^F+&%uNKDK{xrYrJ-*L2P&b{q8C*K`=;+=HN4r@@noL$+#_;JL_)
zYdWcUiH|}Yd$6X{?3y3lt?AUmx-ZsrYzU+{$4j8Ley!=O4<6#=c0tA@TH0C0an4=Z
zIr(aSU=cMo(%c4$j+ooP<g!ljf>JZ%HzIX|@#{H}!Xq<;U6D$$q%-eEIbz0ZQ)cx4
zJmb5HfGXw)_hX?UuI2d~3ddCQ4v|&O$#R-|+G;30F}i35WDkO8C}W!B(YR*ZMP!bs
zJO*QamO@73;HQJZP(viIhEmor(#Ije5k|r!ZHP36H9d@UoC=^5FfqIb=GMFZj|M?r
z<r4c7zd{{!XH^HuqJgNdL)~7KDG((g&IF<|2s;8%mVC#BNu2~R2`m6M%xo<k9W2W}
zG!g!24#vtv7}YXxB784p?OCMZDaYyJ>=p?m_kl%Z&kw*t;Z`JUhvLyiC?SB?K#9CK
z5sx$=#f1R&vR6bJguNHzn!gZ_G>8#f0%(ae{0Nxri!@+5i!@vU9b=IO`qiIE!*w+4
zRbHj&S)k!kw2zKig`8t}9VCUSF5(QghPI)NfE~<V6>{BChNqZ#ivc2=AWaz!gOgqz
z^2Zo%l4bYivpcj~p9W3NemSGOv^-wHsb>}&V-MuT>X_Rdix}={grV0}cO77OzGPZ~
z0K-lw6dGW7slNexfPpt)2{2%a<~{wj+)*;>F$H{B*BmHClNg%}M+}xXx~WoEthX3+
zyN5~DbMl85x}h#Oy6_joYlB>Sbb)crJ%)*h0Y(>EwrZ7moXCsOh19UbO@y%r(S^sl
zW=D6?g-61=FQN-J1X7&i%}`svq6?+aflUS%7>{T^yM@D?8(cU^4=yOG>5nZGE+@4z
z{u$CX82^NmC|oc@(iM>up@qHprd&sZ8*$=?DJS|LSy*_yZlt}KiaEjWk-{Oa;rWq;
zE&3qsi7Y6><PR(;8EHW1MO<NZFcj*H_xpf_HLh?lROg5*V3Ia68pD|$S6HXQ=N}eV
zCt;bTYLO@TG=m(!4DjtOCF-6#t2#CojVf$_y1f`vR6zoqi7I69bwm{``PMn33aZFS
z{F1QzV7$z>(lNmmQ#ddOVI`)33K=-%{T*fPSxjMTA=%+Eg$XPaZa>0e3OkEXLNSGQ
zIKW78A%MN?6)^>2>BWHNFT`UCVxX1)T4D-k1G&DK0;cmDg76pZUbqW?d1DGe<Q=g@
z*tYm2{D~f*Ua-W>!IFt7*n&A%QE%~xmqL;FJ(9ZjO6usBNnLfNK(0C><`!VlZ~=1d
zZF8mS(eUF~_<zMSNS48F$Y!n5n%e>yHYXdeZZ~Hq;LZEW<VFZj@QG(sBI0n9uxF+s
zf)?xNk~0FbjaZw~0~ydGWh+qiCcRgsYDIiVuD8~fzV>s)4DHUF+6;H(Z-Mh5_!`JC
zJQ+})9BWV#+~zFv;7&7<N$l^8fEBW}r3?=dn-G6WJ4oZmW56wyeD~nMrwlQFrTP(B
zF!`&!x8;F`S;12mvnc+sUE)H+ZC*@Epca-{$MowG8r!75RNYzKrD>3ujKwhIq_D<c
z!)l23J0$IgStUpi>qyn9`?nnGlIqK?)V;t(U3xM0x$=1>DWydvnR$lQG^8`+t&?X@
zqZENJW&F+yg5#N{UqhkLxXkhsyn1Di%kTy)aT!ce)l}K|ae#(32gGnrA=a|L$Y$(N
zS?ecMHN(rBm93MFY1p_w=Z~DEZK-jP>UWa;XLgUWA>?wL?mY@3H3;qNpl%l8yl}HY
z>#2TP?V$1ovWQq-B01aNKu2I?-mnVA0R};~b#37m1Ba{qWcqN>hjqW8JLC|e4V&S7
zhqOrx&y<9oX%M>IOK7|eswt}@J-Wv?z(<e^zb*g`Gb#-}caz4s+x(Q=YEqIM(wd!_
zX*Anot?6>JO&h;kb1y{#8!CYYo{EGBtB&EgUogv&TD4;X26e8=scl=S78022A9Yjz
zdT*y4%zq6O(iPIZz3m=<19m~=4OpZLQyf-ql`vnM$?xIVWR*HKJvtN*8dbaf9CZ@h
zJ2Us8461H3_jy09c2s!-Sww6P0DQ~ef+EG?Xk@QSup7E85^h8HGe4a^Bn-v0ht&O|
zSisONE$Nc0i<j5X<<d~h&>i8Yqyt082sH3iL?mnI^7G=lgU!`VOU9o9o7vN-dv$62
z3fLbJe;<u8zl4GL*c8J3JMLoT2GcLVJ+v?rW1h_DP4;PIZY=pGZo^h5%Xo$9;F*2`
zoX#{jnr_rh&h7~f@jXk^;XJ+&n`4g0Gdk>A+7TLiFE%=$D@Q4QFEr2M3*aAau!I<J
z)V&)r0T`R0F5jM#WGOkR6Lay$u~x-pjjw^C$udZ8@1Cj5B|Mg4yAXY6xmllkY5XKg
z%NbCL#fnjG;)k%-j&VV;dlYWO*ym@=q!B21W+2G$)*vP~6mNxmaC^f-V9zN2glGsj
z5NAsV@j{gEjY_1ZH9O8?6X}bYcyw1rb?E9t2;{(x74`BI9QAG1%HvZNx#hKY6-p-|
zZXo4@@igy%2vX^?YU%wv;iZ)^Ll@!ACgrKxEtN>+4>3ogos%nt@OB2_twkY>pN}Qh
zT(X}gK$a&!^CRE`SIX1i!a-I)Nm|J+y{ZVIVjb<}SZIg`XB_Kj@xx#_g!n^KU`<Q$
zW0`M?imVk6g>KjY7bUc-xG5KnuXw74jTQR&?Z8mSyMlYEF5l>84-N2_fPP@m+o3wp
zZpZ2jrfMEM+~H~MkK}|SowuacmHGx|fEdjxo*li1X!ELU{3z?jU6j?&l<U>`Rs@`B
z@c3*5FDcJX<K;@or&@htYIYJY_GwbAHmZ$OMk3Oo0sO}9<b)q`nW|-Dr#_M6Be4Ea
zf=1%|j|SH6eg`r3%Y=xFv6!kd1M*$eJ2+&=dRZw5gh_S22z`N2a6^fjpox&T%J?BB
zZGRn5E8hu=_9bV~jqhi*{&_&H{IySE{>8A?@!HGf<;h8Q#58n|sWoC9O;_60#w4u5
zoM-nj@oRdN)mq1hBt>73kxq#0>`jI(R+eP0%Bi|UiwmRZoD9Q*&C`{!vbqQZpXC}%
zwBgybV#EFVJ4B<&a)nUlSSw$o=#x$#w_aB>T@d{nM30tb_wA=56f|gcBV9jO9}G6f
zI1Q)`q(ymJ8aG=)Y4jP*8~aPg{aF$_+mekVQg%8N3XPOq>~Fvx$>0rGB4wDOnd7v#
z>0{g3Sdb;;eUnj>E^(^Et4^l;fw4@;n`Ti;^k2@waRuN;g3)N#9<O15xJ|Aaig-Fz
ztF9z@)i)zG%XoGnH}Y>?a$e}i&)$z0FxrBS5Wm{rfL(HU0~X1_6o=$=xsvpDqh^Dn
zO2jB!lG1Rlx{~A-r@J%Qx+AR*`boB9%Nq#NuE+chbc9JU?aIR84!3^GPpuCQLnpmr
z?~uv@;nrVx3H63s{hCpDU1`aQx;p7XA9oOLWds^{DuR-=art>M+?u)v@o5Mjj=k|#
z@Fb<5qAa3ig_|Ynwr`!c^C4qL{x)x%h`L6O2-^1r136S;o3{;t6ubB+K&7VvXBy=w
z=A5j}aWm!aZpIplrLEyYo*R&k&Y7Hyc&Gp;q|T$_`57gD<BO5EgYkvIEM}ANq50!`
z63FNC{sGAS-?+V{2$&+^bORO|;yT;2fYa&Z1xF>Az|gL3`QT<WUV;6}5jg2^5urtx
zn4hFaq5>T3UBO*fgB9mNsWkYmM4{S{KvAegQOQ_sz$DGVF>IN>Q9JdPS0@(l_~k}r
zx_MVE91_R3S^qf^=gz9SKSj4$zY^;9B1D^NBs`gI)){mhfjmpT_2Dui%}7$95Lg?t
z)zmt>LVh>rV6DV!>Xg+V@|)mJf2tTvPe2i><sIx!Tg(#4r=jt#&RuwU0)_f!r`oj*
zRAc~(v_O-l%)BhFZXAA)lM5dAlYdJjDLnA^&;?bt-7@Bt5fRIMh!BA}aaM~kNo^@z
zbY$`DLR$1KqcS(yiWdD75$DdTYEk?)$ZT85qouxhG3?l(>}?3#R@!s%cObhLA<`lV
zPezL}=s2{<lJBZM2$U3(q#w0|UYh;L*UL}ka4(~m-YP{Lb$dXqJdTRPW?&rkI?9^A
zxU}r53T!&Bv*<l&jr?2UPfB|9({$Bwi!g$~k5{b0LOG+nvR<UP>Z|!>kdlb>a>!GQ
zP(mvxCqW6HM~xJ7fRW-t0Q))21J%MG6R}%=A%46<c*+vM?D+*|Av_N-zYT<d9j~|%
zI>wGy&@b}<0}C$?u{dGJarCPvsuj3UR=n5IqhR`lod?r(db)_HH|$d#z5Y^bdu>L)
z9CI`pZ#1Uh)WfFoR11zhRGQ63a}1u{n6AMVOt=(Y&)~kDVU^yLh~Jr?rM{5T&U#hF
zA9%l6mQCKd_l`p3Za5k-aWSIr=XA{z9z#u|@=;!uyhIwkJ~&%KFwmByGcl2jC=kVe
z2^0#A;=kG7fIUFQ8?Z#ZFhz5+QXCeeGO(T-^A{L+Sfbwd_ZfA$M;+C1^2hO6JHe6H
zcN3CE!}ds^9}}32hwd={ytmulNMJ4v+Q!QzWR`?1^1pNzeAiD)2eCj#qI(QfV}XB0
z=qu|TYjZ4UM)wZN6cF9Dr08A$jkoKL^|N0xii1``mJaKxVn~@?^LPUm&BK&lY2HzO
z(v;9`-!$(CAR*(n*)`9PNde6}!`p4I=H=2*RP!$J)6#+FF%pYtUVdJT!l%AM{6dt$
z9z@||Z|Bt*l}rA*i^6ZU37;bMMikzLK#E;F1*r5Z3coJIHI<=w#vh6j*SWdK4aHw@
z9=i1rJb(m2czB}^FVt){CMxi54Lp8?&)Cpzuok>vRIkHhFA!mcfCOg6*S;IG@X`^w
zy>jnm&+3!rI(`+33q0ZwEHyCa!)?Cv%(o@Jy^MEqk3{$HE`q3-_rDbj4RKr0v*`Y1
zSuZ*&p+`xveoTyLGJuhO?ZVfn*20&SYWN1xfS8;zM?nwy+njM8yR;=q@uSJsCxekv
zgLE&2Qr5+Q2O+_+7=TIIIBz)9dKgo2y6sN(SB>fnFGMkV7%1V(0be5W+*wttTy#0$
zAE9n9Mij`D0A&K18GIapOiR9#3yYByf~0s^uvjJy>7e0S9Qbe!^2j8<ne&5`)xS7!
zQ^r45l&ZEhg7XU^ZqWk$X|*fmNqnIUkCVXbtnjj#*qlBfVjA!+9^6;qQ#6a~&GpQZ
zA`vDvTe(3OezypEMM$g`><`sB)C`k)sAfkS)wu~*)NBor=gz9CS^NWFcY*bSW1(&@
zMx<sEpp2Sj@NuY_CEv!L2$mF#q&M|}I-0cRtK*U!4rSEQTcubN_?rMF=OJqxYy(5q
zf5q&<JCyw~pi^{^<2}l^bPYf(+=(>;i8!g^wn7rk*90c9P>yd<cuine5lU!HU^akl
z9AKol5Ws#8^ECnC#T8l;5H7m}(6S~#R=~3+faz>a;BC+`wkANo`m-i*QMEEP)1#Gu
zXLr65fK+r5|94EXc;8%m<QKD6+4gw$hps^%^UAG1K>uM`HhJs59H3_y7-9KECH|<e
z>v}8^1jO({+SB-P>~s&p3;!g+vj)`_pI04W)xdIh;e~&I_A{|9rBx%mU_&6aGV%MN
zwtj^do@x&-5LaPrt4@L~VqBrg=?6Kmxj}_B8!N4eW^KF@m8alHEFOhTUCHzX<h*QB
zpW@$R%Y*TMa{`22b^A_8J%#}0gZ2=%zm?c31LS2F)n_2Wf|e0?>%gKS+qI*<uG<<J
zxMH?#&!#?^mBQZRT2n3^FhX2ff&VBM%;j<^9>5apIBkl9WqV`Kc08;tLZXO#9EF9X
zLV${UpOhAx8u$Q#H{+%I{zT$nd~y*=$h+A9C4A-uol@@IAjN^+&5;4Ma_>g4NN8bd
ztSr-7@f@bG9TLE-cf&#n9`EJ`ppkhuoADQ2C`rHi<K3{WNn_LHnHdZ_(L)V+xA0jF
zDn?XiD$Vw8I6Zhl=WY(|!xH3l?(e+r;svm~4E{@wwNlHT;!E41DTH=U<8slTNG!K0
zU!*ypX+#?s6=n;>sK{??oRI~SckMk72$_|4sMBBzIYa4D$^(pKW)6(6I%Y4FUAOr!
ze#bF|E&fxihTJKQdF<9BKKWY;&t<}`oT*_VroGxrfVw{8WLnyKY8~S3P;b9nnIKu_
zKFxfSC~^>{Ia6|-uOXPw!`-ud?=RcDDK`J6PC!mBDUtC5*zREbu3(uEuGc(MTLSt1
z6y)sTik^8NpDu!>@IF3)g@(9ZIo4ei*Krv2y4I+do4aYFH{62Un5dQ8IFgY}@S7lD
zFF0IN%*{cuLQ+POV&y=ZzFY(W@_N1iB?7%3L@Lnhc`%?>?)3=KDCG4BrIn0xc|H4!
zA=P$O_3wa6=J)(J{vyAJe)Y%ixrEC{ZycVpyL5O!IG0}Do-3nS*#M%GxfsH8SHe*q
z2S;3Kq79CUAH!8b`6A_=2Fb%t>d><}NES@)nFpQ?;AFToOPPEKqaps(;aMkpS=@<9
z5sHt+YAjC7RISyP1dK-Xr%u4BUIIK$jIDLWiCGEt_RER!%d7BS=8M$Oh`NfiA=hm=
zB<r@wO(oVe$?o`aY-2FKG??SUMVVJfUX&u)N8hAe1VrJRJP!*Eab?Z-O;(}0;ySZ#
zNX*ZY!HJmy%x)H;lRSt9lnC@7us?ww#O8onxd$N_SjdAA`Xk}($b<MxpptnIe}%uu
zgP>pi@gUeeWLuk!>9NULYkPMqMC{^4dHqrsCr0RYG)Yw#e#L7Xeg(dJA?r_H$!OtK
zOzPEau17KOLMFSrlzUc!2E$UUc{3{sI)<DK)#x9kj*(CEArOv^qBZZA1^4Yuccugw
zp3N#VokeTR&pK$Ik$o@j>7=;Dk6<-KPkO!7De@_aP!VEcpzNt%saC;L(?c79H!^<9
z+eOD_`L9Ev&|@k;^fzGNEYBOTY?j9qRgRU%C(`5d#>P50rD8cw{|BQc_gaQ)EirSJ
zmo*c7M&)+|qtUK?r#u5B^;OMqyjXX|3;w@K)hdFrXD;|Z=472SLH$|-g+e9iWPby8
zN#YGyBneX-lGN=5|C@}e4Jeca<8aaH;P$C=GvK;!pSs>pvK?IBKvvys_xx}3x6lzN
z*?a!I*KuV5ao<06i=SK{AcmUSHQFzjFsBMVb@m!Bq29AExin~JUwr4h$;Y_IPe}(S
zUl@S~o{FSo&0c<9+?rw=ob~&sI=)t&f=gMA=(s-JBYD^hu^Rdaw=5l#7Cg{>3aIwY
z&%|0&h214<<4(%g_yHK-`W2>eY#1|~M-i^sr%zZLH1kXG-^;z8+@Q_VFNG;j=K8J(
z=Rk13R|_tnnS_bY1S~tiW^(vHoDIsTPG^OssK-A-F&~V75G?H?>@yEJ@^8G8z>#e5
zr<A`krQRveBirgH2`ZWB|0#l~hync<78>Hy7)K1K_%-vevecyO*yX)nw#(V0t+lBN
zU)wbADdH7~V6mL>=v_YI6y48rJ7emu`tL!Xtp|J#h3Xt94=_pdD2-u2Kj4#2SFF>M
z4Mt^dvO)I6@tzZjICoZcP$+u5=On1xix8bVknm*A9c0jPoI9}O8}vzr<aXlC2Ij=9
zIUQ5X=@c_3gYiK*cp~)t(9SB#nsaD}Y%;s5z6HCEU>%nZ!S(L)dNcrrn&{W|a|@w=
zln|1Q*a|&S#n>%QUU3jdb;b!8>&0G}q_*V0*h|~qVw+(+->A+_xS}$<h&*>zRb}FH
zA#;JFI=4Y~FGi#?5}=IAWbkpQj3wVZco4y)I$s^fa(I<dM{kwl(9Vj0TKTR^90>zg
z4}MKq^M`MFaTnK2`M0i=e+NXWs^S({1c4vg`6L#~8Mu{=B?oPUJ#m+o$178C2Al%S
zVraFbNb(X(A{g7R6d{;aalRPN2kcmn`LKc=mWt?>KF$m6o9r+d$^R(QJ;9HkVxe$;
z9B8~%#kgTO6<}C1`E*j3oEj=RUD&!T5&4F1ArR)97J?*`VEjH@Fc9HFg5kFie0fi}
z=!KT|#7s*vJiENd#uLxB=yRbvY;o^&z=|#I(Xak2?%kNq8K-LFP1s=8)AhYe><eJ{
zHFqbjTz}()b+N=Zowvj%`d)|2Rq3@Ay5G%C{GM68drq(li%<&RYkiq4m^`reb|mG3
zG?Ed#%+{oXELqqZo+U*$fHz4HiZA1(0LEijjj@ckT*?SD&gpe?MoLLps9KDL#L&wA
z&<Wn*CD^ej*Mvf$ODTWmZ@?bh<_%buQZPkzPL#f;v)t^sWm%Mavr&`V%~8iH^?+Zu
zi*m0g7>#!AA$$gidjwIV({)?5mPj^6r)@GfKcdrp;NBjHPKU8Zyxd^pPAUWOg-~0+
zqSGe?j$Go}sQG8}X=CBVT#RyK)Ms7lj!~NrPeivg@OeavX!8MHhO4`-N1E^WM@TzF
zu6Y-P$7t9SMe&)FJ2X#O^=~Pw_CWBu2&iJt^<P+Mh!5V5;I%RbJ^{z(^u~Sq3$`<w
z(!@l^h_vO7>j$5vkCSex&?ZmN18XRH6;$U4MPrgSA{(P`p-}V*MrCfYG4{Z3np#K1
zxwER{chOMvdZ^or5XIFbJejy!1|3IS&64j(w?s%Ika#kIZ7^$12M<>mdPNSF2)l?-
zfv|*5fGKOwB2?prq=ZMP#;{PhcG^Nsd=ik2U8Vf66&s9OMF^%q#7sCJuwy;ugBFd-
zk5Ik3NcV)bd<7N?=SL>;L}VGZCO<-TUofev)rg-3#loZUIT0$;$dU<p8?+D-p?XVx
zKB1t9a3R6)nul0KsDOOc-unyjrwW9hB^hpsP!YzS2o<KY2-P?67i~YMU;T+tjZqW;
z?<XCbXiU$*%?t4Gbx(s-m)qk!!9gm6w$9^J&mDoY{2qtjXsD##90F&*A*klK(EvW<
zC9rT@bVLN0uWVNM*9Poor)yzdRZuL4a!~2Z8k3c&Vg2GxS5d;y*1CF`$zG4O{XdXn
zRh8T>j1g=5nJk#RZ=a8~8Pbypw;gIzG!e71C(7}b7DyI8-3O!ps)H2CcmY;p1l=C}
zUn1%RXGz(pePORU#%oSb1FTeQ7Hrf%>g+q*%RWa4@(?H#8iG8|-+(;?$s4eQATdSN
zS|tQI+PN)cNM-$*ZmQIAex^aU+uEqEk3Znq4RyhLI-fzjHpsQdNg3DNE{Pf^J&>wZ
zbmEl4qftiqmrxZ#>iJ(f8=mK9gS}rjFj|A&jF|E_U>A4ZfJNLf#Ubt|+Qr>AZo9<0
zNEJGce`?TW$cGa53K!=h)C7y~?Zi8SJRh4o6yJ-rE6uy|j52b4fL6DVZ{w@ZpL_lM
zu>)`yVO0&1^AGqNu**4bz#`|E;*j%a+T}dR$#e;RS9R)0KW<QNh+0RQ&=q;Xs__|O
zw?VH@GK#21eqLMwvpInCVg>B~^?~dCUjh4>jpK@hiir+CpJC%p%GdaZFc0e23fPI^
z6JogtHXkQrv<~)TKB3HA2RqHP4pxq8aJ6WwLbo!cF%!A=)lpe#>f$5+2n_UKd^rA7
z<YLfyIYlO}9Ll@8N6u>u7r|8oao1y^AwG3>EO`|_ud!L3Lb59}$85nIC6q*)+ht%0
zUvNh`g!if0TSRHhiMclVt1kNNl*haEk5UXN;&4GQR_fZ(K~T!Nx^^BUI9As%NtJg0
zzV&rZmqdX|cyD2u^^V_YkYfzpiXm6l=dP#jxwESNdC~Q`=Rw_Gj48M-0nV(?W$<;Z
z&sp-V3lcYpUlNudES%X^I^elh?at0Y7@5HjkDN(a{f9?3(kvEUc`3IlWAr->z>=b|
zbWpO{R)wDM;=3JC{Mdawm8MP60;b2W1Nu~fcZ-de?czwttEs!zBO#ciw&Yi>Lv3IP
zRk9~a)|1V6r_r3dV~Xm$oyd1*RaGax88U}2QpN9v>|P8>btHfp)yd%JP#sIYbwL6o
z@k_$;gX)-V<*Uvsau6=4I?vN4%AT>yScuq=KA2|?UTRL8QW>*wK71KpC6*+M--Ax8
zqVE<kuYd?8`)9(?s$`g?w&Yi`<DBDH1_Wp=Ft^_IUmFCuyRN9=FR6p>tlg;LZ=r54
z%A|%8;*1(*5O%1cCEsz*5ln+y0+<9A07W!g%U8s2<zSpqL~oVi#MNj(t$aTV`m%w`
z<;PRjp6zEj^N)2UaSIxP!1uF^Vxb(@TiI>48duriApN;8rf*CSUx^XSm7Mb4l>?Z4
zc@g?)d&?zIB4@XQ*u{YT>@iykZf}_?(mlbR8Wsv?Pmi{@+!;)27beTUz2zX#4Q-Y~
z_Uks{qF1m<FmB1uCj<i#E+iO!gTc4Ah&i{|PU|nkx3`G!iDbBCd&|v$OXAtyg6V8~
z%Lk!jY<mm+>d*F;i@A@FBQ6XBc=th*J=#!dwnk_iri(T4FKZ-BeUIX-j%yhqGCJS7
zk_=jj6V=igb?rJs<tk?GDJfs1wIeU-^S}qycX3Ovh+6WaP>;)k$=!Qzdqw~c1x&^b
zh5^&GZ_6$gKj@Ug6MqY<!PfOVCyT7ZaV`$K7QC$UHl5Kw@^(hO>d49Hv?r;-h#!G^
z`xTz{%00LV`0Unvkv<A`{yk?xZU{Qk?s!Hi7a<3>olM4?^D{~@h?hPC1aUB4jQ<o0
zF3%GMCx{pF-dW?xJ@aOdEP|nMmsVq;A+AM^K(gY^KDAkC&*JmK7~W+g8NNJRu20C*
zj=n6C?};xL$is<6`a%xO2~Z-?v&B9KIxvR>)XE(g!Q?^?j8Hzwf~*6>BD3BnCawW0
znG16*{-Pba^s7HE%vF|HOV_SU7f)+x<aFWEI9?$#s_)9RsRMt)?3^*;#j@bO{{E2x
zm*L_V;jxgQ*=@4x#a*5hw)j@8ChPJHle@+PGTMe|H5L=y8qphooZb=U^jH_iY{jJA
zBmeeg-VS-(9$Rk|x2FR2_RH-F(hcGM?BkC|nG#B4^fu0vPTU}^LZ2ICWRzkNza3j2
zjPDJW41^k=NS%*Rzb%D2d!n>w?$CopuoUjlhq2HQw-x#B&@rkzq%jxHA?t2YNLDEi
zNl0#xm(LaHBe_YBL5V;&39$%tlRg+wD|eFw^9#92LOCUCI&zc#6R2cv(y#Crxk>b^
zKW@^cu$uz!|LgATl6*SjoX%rCoRBVDqo3KMJ)(z5+Guob9WIL9JX5YumRlnejb>$J
zYZH!Ik8Fh0P528A5h;nS3OsZOK`#1dII7Q1&+Hz7vdw0B_m<&kyxg9sj<ssHzy&?E
zdOJEZI_*@bfMGhuZ&-A^#W5UJn$1RYtWh7EuC?Ih<%#NOG~Q@TK`oogQ!SumN2NL5
zXhGfl^EJ)c3OksDPio>gU#g}Lfi9B}va_i2Z>h30vLAT5&%N`Xh*=@a?#=K4MQz9>
z;!#L>fQ;W7HzJWB&n|uL;?e&lLcn>SUh{KR?>olZNDuEU#x}&75c@-ytmCD0*qmU;
zVVz^3Q0QTur~4bQ@9O3aSax+|iaOCz4(nXnOFO}l%%0y_Lai8Y<6dk~<&G??%QXI@
zIJ}|Yz1N#EOmRQiu*FZWohiJ5EF^GwuG2IdKyCLotn4=n2g=)g=kP5Wmaik>PhD+p
z_xGb9fJdqTYQvY&Y~pXWBltXx_X)hW_<K<hyaTiW-T>?Ye^VU+W;ED2NDJLhh<w^l
zw-2Ip;!e8@?WZr8fi<!!Xz(ae6(0p!1GIp(PX{j89hY^XGDFWmnoA5o>L*>F{@LGO
zdndlh2n#w~^b>yrc0hRpmSG4}9K+Cl;8d~>XDubA={;X`hF()Ih7M{bST280FdFT8
z5qAIrA&$_OXV!Xq9dCpC3(9K13irv}03Sgd{Y(KGw3lZVop!2_KK!X;e~O=q4qlyM
z#C51w$A?WqGMaXvQBHI?^Ih-##opdKT)$0FDAe_PuD=1h&hZ8;B8Djro$L11t-4XQ
zp$v*)40lU9cy%kzfa`YQ?(~yv2bVXHHB7cU@n7k0p(9WVzPgnK#64ub%}=fm5JO+>
zw$Cq^1#I7gUP8ULFP8?*_T|31^@N|24(uNz(7;oX6t7>gHYd1}F?<JQ3JB9@Nzskp
zzj?dvFn&)$p-|)Z3x5N4apVnHj31^rjNf96G_j6b6q^$DzAqou>*|HIV?+e|97}+N
zOt{#tcYaI?=-u(&ZhQ4Emj+GmmQW~Ah$8<>XTj-yS~}1?Mq-DWcc?9DnNhc8JeTO1
z{9EtabG&_XsMcj95MdVujQJa|s}^s-qFR{JE7h7c>e>scbu%GpG;CKbKPClK>owkP
zdsQo!22HgVV>n&NANxZWzI*(Xbf8#_z#@v3pBFDGNaOPH5Y8rP3&B=+#&G?ebGN}F
z!IDIIwa8-FaS6zn&phnyygHu>cVi2BY@f18U)BK-H)7jBNa2f@0x<pBc`)Q%dJ<Ov
zaNf{T{{DQ@4~p?Bg-@_TL#sMxOU9jbC0k8m`xsjh+yY#y&&;;zYCTwhYQeb;yhSZ@
zH?XncvFm!IZp1%C(HM-sA1onaBfwtV4_Rc*h#2&*ym!E$>;`~dzlZqWMW7V>0Dg;w
zhJ;Xo3lx7cBT2>2*I$mSJW+|Se@to%qm$`E=!{$ir9;0|2+sVDSH$Wkh~+F?jL8Om
z{YZW8Lek;S)JIWc08&hVdN}TTfQNRtL>xgp1gZm9dv&rXDj8M|leF>LFpl~K)qEL+
zZ?Lki-V7TRx=F_{6u+c;JrU^6s#@5hhu}w`ZZAr71cyPS^)_C%A7I0lk{50^a67+~
zZgM_&AznG7h@2Rl^^ejJ(Q@{+oltUB0l?#PAajAE)7L@vjsQ=*t3=bC^fLtU<$yTb
z-yq;tzUWxr-U$uQheDa@nWDm~a2Lh;j{ac%`cC>8g7rXM+D!qr`bkIo?VV6@Pan~K
zN2h4V*DI!Ei(yJW)k!xw*f0ZIZ&ZgVnniaUdA8&`(mjev&Lo~p;1ij(rv9hvdXA^$
zFbszYem%zll+}Md$8fq*7L{Q2h(>4n7U4D}bRT(yANE1n24{6$jaz^9lLUf{?@tV{
z-9wnyB8q|f2h>69K#fTnTfL)5x^4!K8si$8PWHlQ>6N+3RtD+c6LIdW-Pp1HfFLhI
zG)PN$GD4q0$078Vd`CEiLt>V=^MJ^kb>@rwzvUoVP~>+TOIA^7BTQ#Ex7u)rI7TeD
zkPgVljc3ZZ&94n-SMf59^3+sgXSB7^6l#I@LX`(_LOdMRMk*ulqC9MmY*iaO;i~ug
z*4ktR&JnfFq^)>1{mCqpaV5%pm++D%oe?aOUO5q(^hZ#g!{x=Ka7|i_Sc<WV{h<?n
zxlx^4K@?rOgvfJe?M9cbgu1;LkuEWS!X4hNoph6P!EdTSP6fV}m*{qM(r&Ad@b2mq
zUcY<$icb0&g0Hfou{vRY=mPwfPFnuUJ|cWqrwDu9tPgk6O%AZd&B7GTia16bOTKIR
zVu~eGlm65XBc0io{E_a|95E?4(%qC<qlA0dV1%Oqt_IJ8K|q^tD{s-^j!JnFJ-(e~
zJPzBa!`5~__6>+F=M~Ht&D3TpQ?)vah8xd`S(ZQfkY-7dT%bYiUkxE~8+@<97K7Tq
z5Smu^5R)`<^xE89oA6tsIyd3Up!O>w&z-fKLG5=?w-+NC)FeO|2Qh<>LtQQTHuglY
zq+leysSniAq%~h1zmvnEg6eoKU&B<CaMM(I8@iQ~=wMERMnyZT6*!09#E&ygJR<@}
zuG+Jpjm@au;D<Q$@Tgo0<!UDXmKc(9opPow@@~QN3XV{&4N#rKW5lE$D%U2XIyd2p
za-B!yxwCeoTo*#!UW`b&BtRME%HZQrE=#_X3k!@Cf~0s^P#Tkle5E-t2l<TBc&ik5
zuMGsu0r}l)xXuxH#_v~@wP(jOlR}cp?_PT;7Rp(cQEsbPk%nVhVjiG<OBt?x244PE
z5%TC{<(mU|$x+8{^ceMmSF3%jNcY5|*hjEXIQq);*6<j>&9F^(zZ6VV7Z!=PoNtq!
zASSu3BIqXZ{qg*K;^s62un^z<>dsHpiq+IYCu+qSx#VZ|L@iq|@Z6k+i#O~%?S9XO
zUv!?9e)Z=(?Q=kz(~C1p7*Ou|){#ve*MjFDB{f}~tUboLy+NrR_buo*bt#vpaaTt9
zBF!2(Ge-e)R2Rc7(#D-5N63Q7JNNDD)O21LSB~fx%5${zk2+vall``xwe+9jO)-m4
z#A>n^jyw%T&U$l*B2dPCBO5&TjaW+Q-8sYC9d);nlmBU7Qi~KH0`>N5(@%(2paI6q
z*5;RN(gv8rI7@POD6P%jxu(jxylW&kpA?DsT5NkTzB*Vc*g!WgalSIeIlIxQXRd6u
z2$aH^s$iiZu2}gujU27rG@|OfdC^EfPALpYKxUAY-9<V`PSFl1;oF#i6C3UfBM^a3
z(Re_u+$j>AFXR*nwUm6xIz<7uvE2<+GPmd+{6%gN{pycfbVIWOu@ZPNf-Y<rn=a4H
zz%^Fv2K=u5qboZ1kE~>M;V3=L?kG8$>B?jJ1n{jRkLjbbVDf=|+hcOTX1Gp=IkK^x
zYmQWDUC8@<LPAp9nM&b|KZn(1ohfDO_3C6PcuBaTsuS={F99C+$JV;y{(KPX?U(yg
zNY;fPG*2at9HI|#CgnOr$7v2xtv*@Vh2dYaeGzOQXiVZAej?Ztm|F@={41nmF#ct*
z%n0XbK7;>%Q}FxfB`rTI)Tp9!zyp3uvCt6L{(LWK81)}EUzMA?Y2Qh?)oM)C%55AF
zNmgJ<PDqQ42o@_OWhE(A4y5X-MGzo2>ToC#=tdz@fo{}(0kv{BN{B`wH%ch8WL!sX
z)JC9^xl!liFLI;kSAX27=d{W@Dr4=&*krA>y+>EJbrD@ssp-OLI^FIxskN6TYt5N*
zyE+Q1XH8h`es+4(sd@w2O0|rzulh%+8Z_`f54h%bqWn>m8)Vt!{=Mf%<)3TOF(KzE
zy%24s3M@k`y_+SQSW>RYTE>eCoaNs-#Iq76n{VYf!Fe+j3OyYCLVpAH6P&yO%Lz_Q
zQAI-OF>TMH*j#q4fYS7yzsab{9n(~o3j7y&Q8U3OqhCib8tvMTZ!$nq*U{XrtRA+X
zwpFX_=ofkMWMZl%@f6}g?y-I{F}<`n3oE;JK*#l=u5qn?gAi|*o7*bwxr8+mjOr)D
zx-X6;+7L)_j<1E<`sJb@lW$q&*+j-2a&)ib0OvZoCtnTYQTE^=crSSMeru*OQQKOB
zgJ4sQ3Gi<kb?NgKFDOMI{sB@q82>vbQjGeBlq=#W+~4_RrHK#!C*?!d=k4_o#NQRc
zQ@Fmr!9qh^v-4fw)A*1PmDn)8K}rUCyf{#0go%lau_a9oHDZU17>cBn(CGe@vvpJM
z77=x&^-1WH^%&twsLruN29vZw!?0x9KI0@EN8oe<AYlXpjx#EAlZ}%QeuVHCBF>#v
z9b$?eAv^)<_98_4V<bG8{V^GI9Q$J|`Hm5$!y_P)=}Aa#Fdb$)sWmo7J!U!v<K;Q%
zA|rUH7*!&0j`N?CwPzvzn}A4F2;IVf<nqbu7AzF5!M<yN_&5px-&}+ennc#a0Y-`o
z0qkXO%qNk;){5c8Ux+{LCI(6gV0IE2j{>>Ar`<4}O(FjRf6)|@e)VSxc?CRu&Z6+G
z9!(%Ob{>9DY3XA6c&5Y2N&88Gx7KJhRcp0j(Hi3~?m6UuN)(GBtDmH?p%LbTz%sYW
z`R9-ClVy|p_UZYf1agkN_i8$OJj8;mIf-=UQRk9NSw&(hDgM;K{+tA?z)bQ{C=@!A
z{D!{)`%IEIV3|o`iYgq+Omc-Hiqz?n`SvkxKf_FhZ}4-YPPdI$2YmmWlC={&{rNFN
z)Y4&0(K@W$rh2R3?ZR7)E-gJrFJ*Mej=G-+V7TFcA)J<Vmm~abE0c%<a8f%3;WUOD
z`y8E#nvqqZQOvvXqTPpyO9qyfyf{ZsEm8asvaknp^mDofw!1m{nb5v3C@ppoRp7=H
z2LdV1@w)((e$CONyx~jE&>3%NX7~WI37#U%ouRM0y3(dO6*I83;DB>;9J9sCh;mjQ
zmRTC*cpEZ#Fs=minz_?M^Ju&yw8wb|0qy?J!*3~qrtso-Vxb|fz4`O-^SCsWXc&T%
zDBLC55Y;O?#YIzaEUZ$aqbp*`k~vU3I~%t2lPhA}=F@WVr<54-nO+&(L3Pe~6O^*f
z%3lTvj#)V-Y2%SGDCo0tHVksoZDa2}Ms;rEit{TzFTab(b7xh@m7??V`=D+wMl>&H
z02zJ7<40mdUQB=JO!`D8edVn1qfDctK-n@Rf1#6>KUV<d_@j`yz<oYng6yFvgPW0w
zeq^N35&f{_JF$Q|O8zB9N`d({+fBzkS2W}$IcO`<5Hw7Ill3-b?O8Nr|8sTacdMWh
z4OxPP!tH2SG~~!4lu$HeHI(pqFABg&aUp=c>=n@vG2#`9h6txb0%(bbknVYoYhXHy
zhMWf-W6==$)t_j{<v7`=CxUwv3^}j6U`V$Q-rwMMCRs1(e~Y|^?hceJm)MDcMEN4E
z5e@k_dNsfwCV8$bo7}svhe<g5j5YRC3WLr7O&8)jtU-;iEa9}Vh!+1#=Tb`|T_C>F
zfI^}1l{@_n*k}5@0ZX_6Q#AK3eX8t4yBgAF2?By%jJvEcS#e%=UZe^g$2S;sxknz=
z`SZtUick|AdU!4I&LGbodSF~|j~#00VY{tbN9ZBd?l?x+dJuZ}bl32A7kc=3Sog*D
z02=}+&hgbyTfagNYjZ{m8F^r=p}Fw29NpZ=!?7arK>FqnJOt&HN*4b+(l8kRD<?%b
zDTW{`5(oYg_*FymX8<9npG=|df7s!-MZgqchhJf#A+EXkVTX-O6iPNTOjp>jbl3_o
z+k%TTAou_=2s2t`i#r4iZmZ7I2Mf2bsB^vVLI<r;hXJV05p}>MZCLWohvEG*I2J=4
zH^-#ai9Jy&0{K?Q8qK*ohO-79m57LZcUE;^DjJnI4(j$|NKpw1U}nCY!Ot;Yw&YtE
zBtR0sBrHFe8ndm`K)dG1%W@D_rf{f5fm66&P}ZK!k)Kycb{<$nW_L3d3Rn8DIdY>2
zB{WB#3I`Y|E(EZby<(0m%(EDN{Dt_A0Wo|^04;Om(}7&yjsZ+(bL2PSFWNCczxp#r
zrX2%xao9exV}Q}p#g2hLcKbcNpX?uYRLeaBrhNf|8fB{h|0L}U+3EKKuhd~dH@^Nk
z@Oxz0eShgh;9*RHSE`Vj^V@8qI(1zts$>w0KXrH?mk<@0ynY4>g-%|-?r*?8dF2gQ
zCa;*Hii5H_KshgHxDJk0?4KHS>7u2c9#qG5|Ae#PQ!PIvB#nmcQ%Q!2+ghqq$-lEz
zt2p)|FRo&zN)mq>0qMb1a`i@?Nk;z^LR`RhH<dgX+V{nQja6(L0x8b%I{=k_O(i|6
z*j#&Y4hA=2aNf`a=UvFAkX7ubpF_7a!>oYr(SyKadXpu+h$HT=j3ye>@aRaT-fqcN
z?am5I>k>Z;g<voq4VDEl+uY}ObqTw=hPd$z-a(kz-+xT{auf_+V0YsOluya?Hv-0Z
zZzxXAwl<JCczO|T(Vi~1M+aEF(V6V(?12dWQ!fNL6IcC8BO@d0hbfJmcJt#*qt%v|
z3#Ewz>-qfe11dd3UV7MQvpUJim2&(l#_=nQa6EoL5Cr0VAr@M5$uf|bOW`Mg`LIGM
z1GAJ1@D&DxF8DIgIbgGawn}e9pk#hdVTl<m)h=LJ3b0JNU{Nl`JG&<xhT+mu(f97S
z4+Kv^j(xBohY9IswfOn0|GSIyAHz;UCYC_wcTnfu;|NX*A3{kIIHmU6GSiITtqC2X
zTMlU8?W}?4QPvdoc;T_oFmtlhSvmVY7{960j_(h2vBvzp;T>ms<Ik#h9JTGD@Qw>h
zCs_lNuoQ-53a)HzvXdy=E4znxl&5ClNcK#*1}_HSLjjfYL{;9HoQ^or^ek*I1_L-z
zWfqXXF;FeHqslJaddv)Ft(lfdN2xvAXsXl?B2x$Bk95l0<xp7QxkvU#JyC>G5vY6|
z3rXJtt#bCMv{V9~`|^bg7I5nbCy!~j_y!ux__2L>2%=rC)p5)#M<6347UgJLZAT@&
zOM5{2B2l?M8P(eGt^_~o4@cris^~QqaV0k<N3Ge3>gc|{%*mh`J>}`6QR)1vuDar?
zlTKS7U0bj0f&+hT=o{W*007a6KN{;D)||aim=5m40~RBUe!}{>*L~u%3+O+zPsV95
zF(KrpOZ+KioTlGT28)dvyZj?4WsU!S2NE3dUrf?wcE%*m*oj43pg8HaEy}+#s`HN>
zJihx2BF~*wovsv(@BRkr_F_cwT?vpnk`N~{_&DObnSAM+m@$I3XLM1xMSHSIDY@~H
z=aY3l9RGodk_a`r8O!G$!sS>A)>+^PM(^b?z>9}PnJbzay<}65RF%uJt2*+wRL%Fg
zU#kCgA_Jq;DHy8&jN_oNZ$^#&SAuR(ikkr4>yS`L`kOgghn4eFf;b=rhNS<Vvi2<I
z|C}Q5iShGtEEGI`ii3d6m1GM5Ql>@XU_4%g5(0QEfO{NZq__~kUiONZzwmT|WFqD<
ze-Y-809s=HD}Y>I%pcQP%s;_j6!WKF{fYVi3GVIE2IC&>kGsUaF$cf0Q;Bd(;D{$Y
zuSNyBSOK^-unD@rS=@u$Xu3Ae5&1k?fmeH-3v0R?p-We)<hs`p4$7b{MjcCvR3sWq
z?*(aaj|~1*g}Y?g<bi$O<y4W(oI@n3>Jgh5^y%Kap4Y7|ZLCryry<_~Ge7G*|G4B^
zfu)X*K%vm3j?elVurGD+1}sY*n4-$4vefZR?7!mz&^&!&j53^S2>EnXr;hZ$7?ivH
zF4dv-FRXM$UhvkwZxg!>dhP2mjB)PaPpq-vslpH1s#TUjL|$BvNzF_A0mQKf>oLnW
z>5^phPa(v`kM7oEmO%SH@6lL~u_2J+9RDSt(y#TH69NY~xy6sMh!z6=8o3p+EOWBh
z;)hxsY3>3=M9i&Qa!ICmL8+JVNhkyGj!m#A@F~&!8{>!>C-Q#ok=WX~ML-pEgR`*E
z5ZCeiO@L$ikjL(T7Gt;1dD;MrNDX*;wFMzqye$Y80U=<9GNwr$4GTtu$Q)1k6xIAJ
zg^XOQ>w>{hqah_IWsMkJ4GE5j5hiH^q%o-J5u@W&0G)sd4>B;f-t{SiAh(^xDJ_pV
z)u@B+tg1;a8gr^c-CmR_<|HA`#GEn+J7P|je8+`JodhrmEC4plY%LudENeY90lqQ^
zV<p0XY8f~IeimizS%l&3P@O8yZjnH8`L4oyuu!-a3ENfpks_23z<*0n_$lTQ2Bf$U
zz+U!>2!pWqg(3`M#FhYBA`Eu|xxNSkrn3mc_wW}*80c4jA`I8koL6}xqDKLSi#;<6
zI`y6tU{EOPBEE2o$Nf@T=r+8dROOB?JjFy>3=P=?X~bv%{2j=FTaW#*g<s3E$-DRY
z*n$FMCbU5EB;1n@B0yT*7!XY(3%#zo>%hXn7x)<NxT<#*6bcP2ME(Zsfd$@xC9r@g
zs(>nig;9?gumu(}Y%*Lhh%0ncrLI_iY|!l<Zd9MiA6Dpwy5Ok7sl;o8Tzgc3am_vC
ziAVuP6$Wh8DwBDU7o!TPVTqR`j6H}djCIY9?xG5t!@4gH4B8M#agP5VSl)g`6^;)Z
z)?`qDafs%zzvKe~%wu1*$XtaiDa(*2=|KfWG5s-x!sVn+#xFtv7>r*SEC(W_FyDqY
z;=~=in|map@WvvTin+k+u+R|K@BE0u7Ii`l!2!*y(k94?FwuEK=hRNg*t2-T1Hn+J
zGu_*vlr^644oGms6EH~|7mdM8k0-2C;d8+ye8#ZMQnkpBe8?cj7(Wz4uS63*Mcs2}
zRY%66(S%2!ZZF0ZO^^U*q6ry%9nl0!zI8z&C-M9L?OhF!9L05xgzls}olX)z!j5!i
z`4Kvt(<uZJDDmqcV?ZE4SeT%~tG(Sh?T+?#mYrGs0K(XDVsOTe3)YTZl{owv?5O+`
zl7f(!#9$mCKPHvLb{Q8blOl;zuDD`SBq1qR<$FEdGu=Hsy)(CWAi1I{b=^+?y?*`P
z>(}qS?hf;nhw#$-N>+p{Tf!rKFf7>;h#_-sb?;?G7tEIM6Er82ayCIowuJwoO8MnS
zK3l^06$Kz+wuF_aVe=M92quUNA=o;-!j>Q;eIZ+dSg2zJ8f*#Q0k}3>0_8`xg!6%e
z$d<tVvf2{tW8%RSPoF8K!TmP<N&25!aWWDIL)9k2Eqji9{K*|20yys`n3mIDm&eet
zzjWy8V*+#aX)SE(l*7Hr`l;B?osR#K1PhlV^0Cu!{2sy->$}6P+u$0xx-#Q5adc&p
zfka`zmfeXkQk>Nbx8x``Ep?z8EC9U}GFIQCj$pFxhz~f<kpMZ#`!5HF+75eeX9|(8
z{PCS@+brs?x!Vsqx8QsSz1%T{JNzrPvd6M;$#PtV!pV|CK?eb|m6;~mobkLSDqmh{
z`i?lxQNnb@@C-+I5^Ik58B0aBs+2Kz@&L0XgYe3of<7QAcgGdO``$X!1Wj!c@ghwC
zw?OQRvB8#HEE}^8(9pCXk7>05fvbFlRZO;GgqY$9ChG_42Nf<7+c8%`raMQ?5IffI
zieX==3@nNVQ@*K?+|dV;u>LV4Bp=9vB)O`(_2$xbq%}&$p0%m|d6DGOqA|IMm{9ej
zimrRD=*qCyd>obX+H3B&cVM>H@D2?28p@GbR<hS5Phx1gDhw}%Co&$_TFPdASx>ZE
zP*^vzDWv{#xT1Y%YqXB+z-rCZ!p9i?v<}TSkO&j%>Lf1~f|1Au@=?~TL@*Opshc96
zoKK>B*N!;zIKCCZCf(+}RgmYBt;qo?CYJxj-hr89cn1cOp_~koSrxA|v>I`Qq^W0x
zD5e4W6Rl-!M&&hqq~pxiyg4jjJv#{{ef6iKH&RI59V2zO2J4zDRV-+*nvu#oNMppn
zPw%jIFfU}}<fk+qqPYa)FS$j-!`XH)ZFtbQ&`RhTbO?jVZX67X7q=xB#S?as2I!Sm
zK;6A)rXouM+6vr^j}QcQUH}Yj83x<lh4JHVJ0y4Lkc21r-FDmS1Z97&(g|+udI6N#
zdk8>J22jJNL?KqGc6ttFk+ZVAFiIMx!1<Wml7{}kI_Qjrv5iW37se0SJ1`R>@4!G^
zl#?Ol#)bIW&Gc!Gn>14=qDR#cKCLyai4JMr@~@OhU;V{gFNM`?F?Ylcs~M}jgEU4=
zhpC>l_b@MPq;JYFD-LN)WDB~#vcqY^gvOX=L1!n$0)p;UE1*_E*B6Fjg6==<kjz8S
zMF48}lt{!X=uXbq@TP>@NL)}zHtCDX%d4+a#e~Mo=BZwZN_oZFguMeZ+3^kxVvTY#
z#M&}40z?Bga4ySK$9|61mNs^2TJp=W2#EeNYzsr7)}s~M8OSKWSl3y{Yh^6^gy<T?
z5VOMw+T*`e+|SrynFnh{AQoY*{$<HKoY-~}b3{_py%9S1g8D}5!|uo7&2;Z1Wu9Mf
z6WKwStL-Mf#{kalPS168VhF~wXtTL>k2mAuDD@sLEY^j~d48hjB%d(sk7yH=ynYm}
zHZ|!!Je=sU?!8nyvds)f9Vgu|9kQo2uX4hq`(?Bi8C|ho-fXbDlJ@uz3IWtlpe>tG
zJRD}5t!mHxDzz$Yz1+{DYPcNPWSZ=S+`wyk$>Bhy)9T&hzCu&;tEd$@&}fp}XQ)*%
zOq#Oia4+mpY6oOAM02Z~xV5bVybTlXS5OWY&ny9sKTLnJ0Dj4@{+{=BD(yC`(2;SK
zF0!cBJ<o^7uQcNX2OL~ofQ@vw8gx52!%tThbX(E~Zk&o^_!q3bSk|~t65Q+ECph@R
z_^y(hVeCis{23?X{L4B{CBPHO7KD?5S3J>Fiuf|QE@b`<B<OxVLie8+MYsD6s_~BP
z$0?-tCOnPwQV~c+Fu`}I(ga@)GJ*-*uct#&+~-r@ByM_V>LugrDnXsjCD681d0s0L
z;_5?5IjwcC=N_=^&Q>KJ$=<)gP%v3PMsrXF*M&<<lbVR9EJan*v@$hhfSGpql3}nW
zjc!*Pvof$aKCm2>tP6v*6cly%kD+ZVhL~kHMo-G&pTbUt!{1Qu?b&n@b7E*I#HUT3
zn?#|}y^pk>U4j}vViRpg`*RUZ{E!v36Z^%osiiczP27khOcSL_XK#0oF5M#rXtb)$
zZjJ7R>o8`BRt)V#j%vN(q@;d~(Zh6*%W~6{b)p3;T*9c$$O@DtqdQTi00`71l@*o|
zHiY&Z{ZIkFNo&qNEBq|YE(Tt9QAIC01%*vo5L1)fWw6?@;sIvK33~3$C~n0OV}=+(
zDP~CFCxaOb<u>J|m>7j&?kXUAy~qBHa$z4llkhCSDA&h(`O+lqVOfyb{z|7oj&I@(
zvf<IXj~m8taII51<aJ92DlMF3D<xHF;UDGdmTB>j>;s%}q%Se%7}tCP<CAGQo1&}~
zA-E=F=rVE*WywAD;hJRokB3<e+x^dJ&1C~lQ^dLEK?YuS(LuQ8QM7Hv5#yQ|K`E|D
z;U|M@4CO8wjDli{2nTEk9Hv9ppTq9yGbbqyvo`5I6Rlc5$g#ljV_KyD_1QnUpO0Go
z`)Dov0)7c6PbBgu-7iVs!sR<1Y?4~O5c~1(7}bpVeprZx`8l{BP^CWVYNCfm;MKFD
zk%T_*Mvh6~=%W4$q02sB4@H<2n;@~Jn|D0bb`c}NcComYkp=tqi;j_^P)d~m@mVw7
z0HH_WB_wJKR2I=UW!}3Qa24;n<5BL>$ViI0S}(zrZWe0Bq!dQ8S{t<>ywrD<0H>~2
zWwI(6?FYCf<GSHPM`4sy8fEMth!RHjd$(^&_Sc)XmM)AeADi+_`VH~MT$-m%7f+Qo
z$wrZajqZ}{DN3`4#e{wladF2G)GE1M5R;54j!d@OaL<X$Bk~ejbGK3(YD}klI=(Ha
z)s~rSnc+6HvLT62Tv>jsFaWdtZRC?+G&$QA3UOPRXaI|lVKQjP$pdUhVo7QWvVA|`
zh=Od(^cOo$%>L4YY$K^T5s}Qi*M*&Ii#pr!=E}{+OsCR0l=nQb#E9H9ItSg{t6_O~
zR~|_r)t^oQF~9<Ghqd9!R%K3v=f*n+Ewr|@`QnT~WA^404NgR$#y6H-9fd0MZHFRG
z$C&txkQ2Wht$tMH!9h-nVmVZoAB#K);)-wOi)}J~d^yb8G|gJv>skXPL>?AHj*7L9
z#Dh0UQTw8uAkO`DYKB3T#K4}`pJ<|qm%<Q7;yOGl3CmeVSz_gieyBtF9qUjs!f-x=
zN_qX&N9-M#{nfk!gNv4Ols#-R*2Lne8Ah=gHdsKP)>_IYeR)r64=!Zg$j)l!+LA(4
zV=v@$*r`3m(5Urm_E|>=$=2iLIEPQNW+nPqj5vo^?btJq;`<R~xq?(*vv**o8{UC|
zZYU>%ZVJaathh#POPj$3igU1%&N6_Ivcy}Fo`I7B;SL+E!?uPy*ym*);ST57VVOs`
zLj+<G4(nf*!W~TV-kp_A73a|^mfqp!Qvh@u9%S9T+f!GD8?7joRfGKUao(WimZ>{U
zj3IHP*w#3a(Ze)5$-KHAq{d=xYbLD9qd1>`>}XePYjZ0Xv&OBBe1*UzSCbD`zkRSo
zyMy%C+dOhvvG0865QjJn+)hmN?qMSM_3rJt={_>uy`@hU7gK=Q6dmN_!xSz4lf|DX
zf=m$(@G+`1!PVmh3kTRls&Hu%<|gLyVZXfD6tNjyp?%fpBe};ZJ1DxSmBc-fnVm-g
zJc^8rC;-Y*6d6s~Rb8KnPHfbHzos>ot;rB@+=cTL11`I$yc`sb0(b^(TQS63I5B!s
zE}Rs0GF&)@a&OP3h*(C1mO>C6daKDwk`)E;a35R}+PQP{0anx=1#r|kH{SrzGPPz?
zjdj)qU%bw6V03O$mfVxB7^!?A>HKEr=J*b^xop5C&RB^`DXm;mK4i{tzXgB`gaoWX
z+g2Pg&WI6|;*1o2GC0FfZa|-8!aV~v1P;@o>(61YF_N)QpTc3*CWUkJvpHJj-a1;%
za(e4N%8D-7#T@S~M8n*<c|BF?v-l>?&2X)x#YVPSVQn(xB$Qyt#Oyjn0A^8CGpJ$X
zIATsd4>Yhs^I#_g?ll$KlrW&$EAb05gq9rRIekG!Bp!w%Q?AK)|1Ho;WW4`P3@kF<
zv%eO{cz<nTEv+^DeG6c@zu3I(&7;v01Ou4uACPEPG8D6M#V5L<Ck}XR##?RM|9oz4
z5}RV~>w7q^7(RGZ`jzRZDf1&mgrFJr$5m1l@<{(23nLZ?@<cr5;wJqBU+&}7jAqim
zYT;;#+xL_ENyp^2d2V76&l$q}*VeIT_yAr&rMy0X@7X&r+j4ma2D>HYD5_pE;$*+0
zZHvr4fFEluWvdCY>b8(RfPZ6X)cQ3WawCLfFEFwX;2W%2$p`S}9O^#tT6Jb}jcW}m
z<)x(4>>ZdXiFaV2B+AL4q(KjLpRYBop(0~fU?(l}p>C_A;M^2)v(I*Kw}Wg(F7F`C
zZl<%{zhduUUPwuw?JkIr>?7VyJGeH4Xl!ccXggsRaLs(!3aHgJ(-($fN4!5}hh!d(
znFv4)pAw~5#ol7LKEG@oV#acL1eNj%xu@(Mn8}WJU=VVYlOg0JGl+qK4Kd$;r?s^Z
zQY``^w}<CNhDohsGk@7}Qh>ky-8yV5fAxhy;jbJgy_a66PN#|qcOD!TfmnpY`j;iw
zr%5k9CS0GVT2Xwox;`fWwapeHc6r?OX_}p6Ufth?2Dw<S&!5fSfX9B%V`JyZJZcZ{
zT|{4}=eZWAXQkv<_Tx}@)2p&q*-IX-AcdVH_H@p#a=goRuOOmc?_QppwqZMijcwu>
zu>r7|xQq|(P4R8+E`mwn+q{V?O>jHGg84S5Qb(QJ{HQaT)8Z5AbUi6QpRS$t%xNju
zpL@u%tKw4BGP*fC$jESWQkJ5$X!?oj&PlfYMmOhgXpN~$rYz4TXU^RWxa^{`MWCpg
z^J8e+iXrCAiP4jC=A^Kb;mk3VTW_O`SXzYEVh|&G%gM@-<?8hM;FD0#9WhN-)b8rs
z!>oK>bfqzl7>NVV(U(foe&D&(n0BTkf5j*rf}ZngPP2qR5Qi1LUl^Sn)7V5k{hZ@S
z^s^X=Ovc&dWF-gT|NI(5jM4u|S#nQ({GWs`VHq{;)W54WmkqeYGT&z4WfzrM#=Ref
z3-~|3hvHToF_wuDlwz3_ell3bQ0~fwqp5_!7O+vUqYia{c6_SOToq);qb~Ab?e!`@
zWK*S;ss!h)LUS2Q6=fCRyne^3&(xaB23+F2(;0Z#MF-)$NwjUn5#ziVK`G8l;U|Oh
z4CMw47)ZEnz=ptKI&}RxY_!juq&Uplq=-Cd<ltNG@g`j}r^kC2E4pBj2hBn>%p(sP
zRH=_@yjYP3hl>ErA`foMF}r*oXkdlr!A=M~@<8l$3Pm1>t!j*CL*&8zpat8@A(S6Q
z9z2SHMUe;Wuf>Tx*u@mR1C5|wu6lEAJZFJRY!)E?U>j|X(qZ@XRUEl994XV_n12+)
zO&8(Pmy{huYksmVy>hiR<D?*inCq=sZ$nK*8g5n-?5qLPf!Qg;Ye*ZOQs3;(s+!rm
z=LfMeJ(XOYa+Do_{910t7v?h_B=Oa_V)*%^Hb_DvC;o29UE<1v@I(`DiEV*7GhS0!
z*u;x57K(>WBp7tRNzG_s6W{-7r~Ong#}x}T;#45WnB20MU-hFpum5D7*9;%mE2xy$
z$Mqlf4$M9--hsi#MLCKNo`i%9^6Dzv;cJ#B?7jzSQpNMgP8IHa8oWJ9U=ZkXd*Oxv
zc*@ye_QFN8maWss4&0X`5=sJ`&StAp*5YGYw^GDE#F`LP&wr`YFlC<x^SCA%3hKE|
zvu?F_U?z9ofq~p9CxhJINegmXt;xicZYKhH7imJp<8>Nb3qj6Bpvg_XSF^d(z_U&B
zJjwT}wyXwak#Q~^Dn-|;l(q$ZYhTs*@$K_tMu5j~m5<IpXz##G=ez?0ol{N*onK(4
z^ZckZ5dJ`Is+j&Q4RVdtr1%xtG-DU+1A&*DHSS~6t-))fjCr!gVua@Wu^sE?Q9RBD
zoR7Yrw|8KsZ{C4{z9}bzz6*!u{Dan(HiPq`xPqZMFELDN9b1u}fs+EEIsa=Nwly@z
zJ}-cwXlTx=8`SAkF)^ReoCw4s9M-=qh31&{UdKde&Xg6!vMV>gTwVNI2_^w`N?VpV
zQrH%FXpU)il6iHXfRemep*f{(P#^gXQ_<NN-G%_OHM?=`Sh9Ms;E*Tz9<gtj&N<dF
zod&MZ_MM=Fv*U?9GLF)jSKU~3aBm>;UhiI?o62c6C`jj+n~fcOh;K@$&TJ8Uicp;@
zRhr<osRaww*)5x5qN`EMeT=v4zJl16N_SKf{Z(+2d)-06f)i&&TLkqP1J%kSLKc)-
zG5Il*-UoBzN_GlvM=fKF&tYU_I8G@`(S9^biyGs@o=xtDDzOX7S6ChRr!;WX)mvU#
zB**K0Y<Ss4<yEL?l+dTqwiU<B@fssI<#<iuH^cF2D0fCoQ#Nvo@fYSR56PzYl`Lyn
zaYMKD!LZ~;J-~|E<A$~|YY^^!$7@by_IKj)V2l>!gUPx+E`f*JiQha!J4+EsXJWJ*
zW~LVbpG@%CWMiFn5tHzjY`Df~Aj*<^(l@&*Yn^C9hF~RgW<2#wX1uC(mpw3vbzWiM
zXBU-O$323=1)_!i8O5zQWULb-FvU74{AI9?q1+j{2q?y1n6EroNAIgY>pb5F!v$IA
z{ffcKvUbTfFZ<#pmozbzX3gTum-aQrC8Na+?^Q`Zo4~9DBAD!LXf9*@qOAN(wy}U|
zYF(JKv^w;&HGr~*F0tV>8(?<PLD=vdv~9&QW5XE5DK<=DID-uh<u+!nU<%E}2n=&p
z03+(X^=HJB`rx=ABOZ0Zc8%PGXQc+ga}Gn7abcsZ{5&Ta(ahKU+^IE}%?1+3+|Izu
zE;<Ou+=aHSIAR<VBPhi&Dg0z`jG^3sF>(nf4cHJkOoy&Nht2evlN5(pn-sxzL5>BK
z2YJzMF=vq19#(Y0g6*CyM8iDT?rEyjXLFkb+hJj)tFimNVe+>*CV``i`Y(ho`+V`3
zIAK&M6cZ=xLNPiFF>yyQWww|&%8z2=-oU`3m^k*AH73qJCVp9vc%T;GMbFk6z&iym
z!idLK9eJnf4i5nw%8sBL-X)-8f9cTG$I_UatX~+eBHd*(f8oT(bwqe#fVzn?#IDHi
zRqC6Nan>#D6yIolef_vdR@bNS7Ufc#1vDJ?y>6$9yUM4)s`Vw|c(vQ<Ak?qSzwZdg
z#Fu8H<@9!hD_{i)5b);r!nHN8+6@{_e;U`qv;wD9>xIKNR+?SM@7>qq;ZCb}gd=;M
zmeZ*OUI+C@Fet|lDsyf8SQ&MLmkC<?@N<;^>~@;?wJPwc<(W!#ALXLEA;8r+)C-TF
z^}L|v1&)-teMz{=$HTy_?p*mGj+V^z@MRpg2{qajzsR28LzC;HFHX~8U&@h{wOR4;
z#xV8BE5skhVCL~ULAmMdcbdKJOT*E6r5XPm3fDRZ8^9G_F6;WD&`>y3b7s1G(cU;c
zw+mdM1YR|r!xwswtm@F9dUuE8jaIuGl$}=9tD#gc9O(wLo6q0uH}LlcHM8t=I$oz-
z$Lq6Arvp3_s5nd#uJ*ct+R6}Xr58?UIa(9$FM=w=@u=Md22p#1nxRz=*U%VzAgT@&
zH8CboWwX-S+pX+%fbklBFLheI@Pv+2^*Xh3&1r)^&`pD3dbsMfW-&})q)~%;$(d~&
zL{w)uUg-v2Ir$VWZGfm&)w*--a!hzYEc?&^&2?IpCQaRH_668&`855>r?&5OYhL-_
z9Ff!-=OA`dPFb$WsH7T{_c#1TM53$9I08x!(_tVS%H@I~>Qmtu2IGST*nv?rx{4Po
zvx9y;@aH=E3!V5*Cun#r%rLc9!<4V=R1U;HL85Dkt3Wxey$G~zHs%@uo|Jy&^`UUQ
z?X=54ivw=N(I|8?Mqil8fY>7})q|kzZ{4!xz<~qP?L&B&qc!by_HL;;`?sK^zoi$R
zL^T*Fs8J4_IZRZ5iCKZ~n>YUaxxnmrXSS+!Ltm0^Hi&KlyxQkaH=JOWbyE-Kn&@IA
zsLX(iYC*lXeML9{nw%@g>=}b!_S-}u_k?TwL#?24uv~BKtvB%>^t-I-5$TWla}_Y!
ztzGc74@8~7en&scbUGJjC<(O_)p`Xigo%&%4OnI<MD2auHo6#xPzo9W@E^&6dq6#2
zwb7ad4G6(-Jc$awJEN9c<IK%CHSp>o^i_B8BIG^cNmayZ?khWUl}58%snt3T6BT!d
z$2qP2J*)}gibzC&CqZ6~7LJ6X?Q-;_B!hS@Is&-_kdz>WnltP74nv43U+EH5_8G0s
z#y{x6??#P%UrryRzuncenv5awL-qy*y=F;;SjG;&e(K@gB+JLTa$$WW9Omy^#v*x0
zS1c}Mel2+g3x^s$EGoUbNrO9xzToWm$Wan-i+Eb{EMaufOWwECXWezQ;I60Sw&h4Z
zK*?W>AbF9JHDgFlqT~fizDbF@3W-O_%5fxXD0yTJk|UJ7=XfMnQ*zo#NH$UObxNM6
zq_z%8gOXb}AlXmJ@e@c+rsNMO`6Eh3PC+tG$?untJWk2-(~yi&GIR!#QA&1iM6!pH
zKRXl2vy^N&3(2XJG=C1st&}{r8Oalr?3+f?retgjlC_k4k&?$Kx#Aa)Ttmsfo`d8^
zlsx-ONM4}CIS+|T$?*9|R#I}p#Yo;p$sbbkBqh5pL2@%CM=nM36-sXSWh6II@`cNg
ze2J3Zem9Z_D0%I2B>zRpjr5}YZc6BlDwp1|V%NH}i}~3t2kf2-=2T^F@ou<EmK%)d
zS5+HWS&3`F2+<c>9z?l_yW}rXIY<e}nYkIS8H*xT^hE7rTzW)laYXdWDjl!1kCna?
zkZN&~-WJdKnQ#<~SJms%($ouAR=s8u@&IFi0<-)w{{231>#y~8Lj1NX9WsbRs$kuu
z4ky8|<NhHZ(pr2@bSc5Om&T#wmu!QGXf>#VQnTR)B`mT&v!7$}$J?nhSd;f5r{!FL
zN9(cr0T^6&(1lil#W;u^r~|hX??ah2@N>IVdqMWDozzZxnE64}uxhG9u@1J3J>MHH
zf8V=y?znQtduRzE)fDTG&}Q97z+WV}?k70byU)_k8TSGF5}4y6Fu|m=D?tx*1i!%^
zrlp0X<n4Dl)CHYXW*P>=_w?v{>8W}sZlwnE3qs9-QqVb63Y>#MX~wBm$d}OwHo<cZ
z=V2X+WQ^~<i`Lse-t`%|KXqQ7E<7)Pns;87gnV9>UAg1(YZquz1|~~xx*oV46^$<!
zM&nC)(YTbO(ft$D5R{EIobShU%KjuMJKF5A9IT8h`Vsoc66r-!fXUdHG&A#69Q=1-
z9K4<v2geCg8hZE6o!3H4Dx()j8J8Gb2^o8mPT4~s5-UQ14=NClVA4uypL2-4y<REp
zZR~eirFNt35MPhR5hW#TufVZB-26V2Mrg~m(tg^|Qrrn-HIy*Ob;>UJ-D-X7XbJzQ
zJLSmOMeNJ;^z>Q$0GRZF)lfV-N#<GH7jx(7SS>$}B->IEjxj+5eV%p}k(%b=Xq!q4
zV~~B@&<;E)P?dy{!7c{}W|hTZxl?WwgEJj@l2uo+qHI8oLMw{Ga?)aQ#WrOzc|ZO9
z|HWjzyS4C?oR@b>#A4!pN0NerP03M8*SiWMac5p6_FGCcx;_td&BX`hyopOmyD$#s
z^5Q@&CGI$CB<lzb@TY$rIhpok8<EU=9pQvP>&VMY?8)nh6CNMi+r(al?U`1_pP5x;
dWusMXc55(md3(u(Gg>2)Ah(`TgWZ|w{{vs#sZ{^~

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.labelers.data_processing.doctree b/docs/0.10.5/doctrees/dataprofiler.labelers.data_processing.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..428a4cf5810a14140ea040952704a7c4366284e2
GIT binary patch
literal 555299
zcmeFa37lkAbwAGROfw4uGK$R%1qf3!^z;BjM4GUSY$7lW3`=yxrn<X&sxCEEZB_Na
zARz97&#0k|!6gPrM2)zc;1Z1*jXw~VxFPQQhKh+Ax0wGqcfa@Dd*6Mps-gS$|M~gI
zysr1|J?EZ#mhU}xyJ^X*4%~0Se)zv+b!VzpZ(ciGnV4v{CaRs8WdDiQ`1GD?vpaL^
z%*N-=+%Qv4mbWX{bXwEx@#;*nAAB)ht2ZXv)#l8VGs!CayjyQ{hI#pAo$7eE-fGI?
zwI#KswPjb%lxxeACEa?rQPo~0tIw)*E2SOn)_AqksW*4e;HU8A;!CU7A`9scUN}R!
zf@%*=mQGcGkM2xuO|pDcGG1GhEam)ePZl@o&Fakd>9I;OQ0aEt^|9$Lv=iI4s6Nrb
zHY^)&R5~5_5uTScD|^_}{u9$v>W{I?_|@&|Bz`lUEbCTw<Exq4>e^s!MeVTKqT0IT
z@-3Hjs_o8}3$J+k2`6veGSzO8&Xx&i9z0Ff8`bs};IOlWab~<2ZdAsq@Ihx7KOcqf
zxip5`9cbM8^A}E!)%Hu4)SDC4Yc=UH!PX9k#?+1gu^k2fKN|kO0sg-c8wRpz*J*Rg
z$>OO>y*-m`-qV_xZd6Yx>702Pm`R4%_nYHBuPxo)ovBRMj;(FhB=gct$xK!&-RX99
zbgW%zj@Jy~Y!Sktzv{x7+Bbp{g(fz4ms*pNEdp^a0C6r)mV@$CcDE~2HBF?+DQC8t
z-AcXLDNVJjo5!Z>jV?UV4r#SJrO8&C(kW4{fH3y6=q;waYkR9h>Gzo+!fi~sw%699
z3VXX6C4M^S;GC1R&;pS7FmoruA9&khs_jzr3g9!6r)-<<wsuaBT~gg$hd!^Mlew@8
z&ZA7tw^VP&DZs{=<kTo-9`+ENaVk0MA+XZL;6}$ajS}8(Kk$|CX0%fW-+{`meUqHw
zp#^R0pr;urL6e6{V-;{yBc<;2RHHgnLU#s#P1MJ`8>#A*f&6Mpq|$7*x>Q6um8DEl
zLQTb=O5>J7cQxWPE?Iu<p2kRLs)A8rf3OwseS51jsE7n=ndDCK&N*cI{tiXs0@<x#
zvV&NN&RxX6+LGj$IE4{{js4sd{B!(*FDD0p+H3|XQ_hl=$SCbh`gc|L`nBt7&&FQ3
zLG?oIdg?x)h0AFR?dCn!qkW=1-uGq$UKwh@{@4J<{r<>=pYfNw7(a+IjvjkYwOegB
zzy;_Xv?0<?q?s^Vl=bO#t<dX|1*pi;ct>sN0eqk~Dx@X<Hl_1+zjTrX&6$echuD92
zgBadS)$%d4?MQlRx;fsRPTBQ>5kVWCOsfAHqB@nP`XNqrZL*+bRrO}Qs@mIxH%}IU
zYhv`lf~Km?32@k>*8*75gvyc1TK2KY;#c%~{UHuuXmxU;wFhGJOtNrlAHW;<p}TJi
z{Ld0<3p4bSZl%4u+MQvPAjt0<VF+d>IXcRU(VOiXVHIx2j`%W&<nyWE`+i@CRlR{t
zSms?&;hoU4Z;~Qhp*wc2a!SBU=v&dn{4Z06{~M5@o6|o410R+Q_%(>EgrP#9_WM$D
zKo!E;9V+w(y&_G8me7dCTKIrqO6m-MYqXdg6=q9^!J6XKeyFsj_G3d|I2B!EYCm)6
z0y!KgN2&vep@=#hphfnyHqe(+8`xi_Y|aVG#;FkG$+TH<I&o>3fKw*~fwWrCHy+Jc
zjOfOv80@9lb`oYSzg{pR*=jLK<!AY?kf@_IBm2YK!Q?pN;;~*Ub7chwhA`ZP2r`ol
zU>t6Z5g4V<7`P!>n$u6#eq39c>_0i(XwZmQyA_?~L~R{%aQ*_|sDgb;BNzi#<1n()
z6ANM_P_CUJY(5!$GK09x0gqf&85<wo_T)1W=wHQ6VQsREf20DG`l&WZ-e9RfO}doi
zG2VJ%K)9??2WU}gXmN|Y1?$3;#M<NljTc23ywo6hn?=#o0vLPKaLA$-M3>Dhx)|aI
z;gPpuHG||$@K4IY=!(0PM#Ay<h^Bc!@;<0tIYAjZ4}dzW*G@I+<Mr;$&Gdt7D(xmb
zY9W;T4Hj1Mv39HBLJbMA(77&|CnEsVSgJW8myK<LVK(^;b`(`|@;ZEEdah~lIglo3
z(}8N0W+yt+W3<n!onhg*2SeXTpGF?Q`UlCEIGNhI*i^uLlDkugN1oY+tWdS&7@U-t
z1Cz3h`BaJYhfJj3&nr^$JuI>Q{6)|o8pnn58ns=?1$)}9^2Sm*3YGfCt|b@_)mjsf
z)Y#TjJ;T6^nb?p`gtXFK^I#OuT0lqgSBY>UaxYc!L$c1HO&DCTbXjCkULikUM8(4V
zKYf;3ME(Bqh0OTfR#~pSuJ(Gv$%_#H3~|X4S$4jO_YNtZg<NErLmmJqT7$`BvF+GZ
z3Z{_%1><5!h5Qvfl3U?FhVaO%;g{G!9DtKs$!%C*Fwo;PT?LSZGel#+Lf$XaW8}3^
zUbK~uMwE{)Us8oEUb9pw;TUv7hg%}J{Z6X^QzETqsnwpSwxyHWWEA+$O}7P#NHrr{
zkexxYS!zq9|0fHmjA@fL$tIb=#7a4k*FbxLmXLsyi_uXGOws}PQs#VY9LWdi<SZbY
zECW|f2kGQ&{FCN>w7-`%TWnV2W{j<)bQHk7>pI>9%*_?`u@{RV+($=yPH&D@aOC&4
z*F7@cR)e#{im5CIy2)owqKdM>I%#jZzxYOAAoYV(c<NWjxxyCltD~}P^5_dvxyt>8
zSXkRt?#Fte(mvLUwTb${l-6~!#ZKSg9)s?MLZLy12vv}*BJId;(aS6GlV>4cmY07T
z{5Bh2-h~orT$d_`{smn<<BIylXCQ+VyE|OHJ}N!t5{~7;+wZNnAqCqgiT=cy$4avV
zgH-A1V?USONNz_?VEn-ua_hb2uIWf*7na~75!o7TJUzmKPN&qZRVB+qrEaTKX*62b
zl%_kC-PKa10}Z1Cl+r|XyakhMEfu$VsY12z?W~1&7i}R0-Li!WH`tTj(9I%_iSCu1
zo-2-#^MD%pH~i02@joBO|C}$ME`TRj%wipqqGa_QXR$_8BrIi;DpF?o0-oD8p%CTm
zKad&9+vg>3^vUK8mMHLHW8pyhWK6l71*;Qwh`I0r^R6ewMa~o{GgOKN7ktJw0QR4d
zs;RtblbrK`snc!EeIiO-Er4DkrbT($NBk*OnMSCGK;jgvWRAy$BZXN}@*`O)dHo|3
z<O@rj;(!~aP-3SvxzJ)iH--8KDIQlKE7xwRz0@!RAzGN~)I>{ukJV8A)j)1dN)-eK
zalA3PTD~aM)!{*&>Tr!K1q#-r)X_!<o-c5we~p|LY)wJh5?r>HxJ(vq+9X<tk7kpO
z2sSBM&`M1VlEbmcAQ^;z0FNt_GN9~9(9?f1=^huPTXQ27PBLn;>a;Kc_rwGz;Fy@e
zH@cN;?Op`FgEd%Ym-!G8COPq)+44)Rn*0MXeV#KgT}5f=xmovQ)efMWf_Wi1`y;Ec
zHbjJvbycgSsKvL42wgUysF3f1we}SeE~VpsasaZ(F(2~?6!U$b`xxi&UdMcE(PKc2
z5HkiW<rqB)@qDYpwMmH8t}4mhTC#!sC6;Dsr=@(d#?+@*Sk;^QR3`Ue>Vpo_v*#NU
zlvH4GSt8~e$j7l(eKO%SP&ChE0=W-rAkTqP<Wu;BokZ@(T17Ll%f1XL$2lJ#sWxFR
z>sc%Z8l^D(t?(U(={Mn{Jz;S8wlQ4OHr_2E#u5t-aa|)t<#J?^`JL1f@?NAfNZ!rK
z2?S^=iUmvQ8p8P@d8Zhka9*?CtydcL>#C(xz_%w2;yzXa{Wm7ikLDF9`3RO^(*_#X
zMN?Xr$knK$m`979KS+xMR}RqC&@g!rnbS&DGHfzq0(Bx<D|D|G!0PG#O4SYiuv}A+
zZk0`&`Ahp}*?|<de?QoJVKDb?SvGm=oJQ{{$x$$@MmTcCRvD(X7mip9y~wX*JNXdH
zfpBommnqplTBZDsMvovNgo8A6ghS(oHv23?Jgm^7Oou$NKqNQ}QyoeE3%N$|Xo%!%
z@LN9-35#-cG9p{cIb@l48b-t6H@FTs!IgKCNK4s>3Ls_U=oxM5VY&2P=IjH@+H6`3
zu!3erj>RXMwV_XTW`wz@UXvr2z=Fe38mQx^8B(s4=il<q=ceizmdtp)@!Xnl47PxJ
zu0Yt>9w^N=2GI4obp8Cs(&p3XWZkY*p({(*m$tWHqY#4ba!t8PSPTq%gIK4O!~oa)
z(R71ngTm=UM!y@>J<>K=YQFW2ipR?}#bcpZ`^6N}rLwv1L{DhmT#1V8#A>L9sFccT
z+F`2GS)Zxt7U%o2Hn1O16^Q=Ue=-|Ff(`K`G$x@C<WQm#8rOyixDy(jfFq%SZ*=X{
z+ATqW8mX#;MmpU8rB#z(&u1mv-$G?*5q0M^m^4&;x5sG04l%DW=Bn0{*KjJL*hJE%
zivv1(Ms7XA^-R~3##)Q%bh)W_@9Vep8IfqT^<F9`U4?fEV_C4v0*0Ro^XgV%P9QCf
z%yjL8VRBk$Mk=O*Vh?hHrKHR`F1XT?)6c?;2j%22b(ElC>YBf~UNUjL#l-(wr7R08
z!UVXwbT=-h(biPzHA_s6E!q)1mn?#0nYj&w5z5(Nna+Z|8|5@eTs}Y*Ca1txvow;R
z3#E+-ISu%ULByO|x0eE48pAv{b{f|{_xM4ry*lRHYM0|>n0-%GY-f66KbPuAPDWK6
zBqv2{BuX4t2A_&8VDs@O^1`9isy6fyZHG!Eu2HI_4Sk%euGqL|JCJ1Ko{R8_j(g~n
zXWYZth2d}EiQx-t)y7mGhdqB@aK>^N`S6Z-vgeA^T10DvmcgLGIW#z=B67B_F@oo<
zR56;3szvLU04bQhn2@ECJLYyCiuDOa=xUs>nElG4Ap66V$~Cfm`9}vzHe@eWV~q}S
zEm(EcMcxAjE@#DAaG?P`F2vm$Y?_{p_kj~qf-2}svC%PSgnK!Z54j|+X(Gb8grM9K
z8HL(rDZ<eSI5Wag%@M(Ee&{~Ui&c2HJL8%@>A3zZ*cuI4d03Lwz`aOgjcQ3vu*+$n
ztk0x9k@q9zL2?ggKxE?m(257LdE!~9bl)qbt1W!H@Vw^KbeEmg0f%<%sdU-l9k7R9
z&Kq=w2QHfKx<6}my4rUFFZa1t)ldJ2_0zxS?I-dHEWsw1G&w9!1}5v(#>A+#QJ#<J
z;UpgVS{t6SH+V=7FPYlr&Q}r&Q7jXG%SO<U_U$|^Am3!o{u=(Xj(hC$F*zdH7;8=J
zOR=f-v*v==ChQN%5dRzW|5tgq0w6a?ehDQ)ZW58(FBJFs1cIGlz)v4!pME)_)-SS8
zMQ;j|RZiDcKVP~p9E}vFF|!c|BG)e!Ao6g0q9Bq!c|at`Rz>GCFUGW?@^QUDNtrt@
zJe_Is(gU2lFf}NlqaCfC^pV=<NC~ZU7v$JP8oG2Ug`5<7$_>!Q+^5YbLsP4)pQR;G
z(|i(ir=AfogFtxh^F&#8uFp(aBCrwQQ4w-yE>7i)qsth1WJO50OtvtN`DC+eE|TJP
zL0(TD`Fto8n@7GfOu(Jj;RGDXC48f+l9oq4&{k&J`m!qrM1zwlh>lgUsiQFf**ew%
z&VPfWVxsdut&~jtiOm;<d3DQ_6G#siX#U+4#!Q$%L_*9G2Bp!1Ed0sKyTYsnW#P~-
zl#-!eQOV2qS*0xHDZ)f_^76hg?TEhWd1S{_%fbonIgzks!!V@;Gx>6uyWmve!QjbM
z(H{kyO@`=F3a#;oh4@n9EFJ&@F0D7|@r~M1Tp_$iqud{Z9O2Pfla=X4cXV&1F<mv+
zIVT5qrl+P_?e1u2Po>>`)^rPxio{(W<o8(XAYnXPBG#HG(lj`ibS@MLAxQBpu8~#Y
zm7If=Fl}L_8YB*Ic~bh)?3u%snI>czgT}Nk)nGY~^g$@W1v!rc`Vq|+c?OpRl$^;H
zkjgCO8625E3qybc(5+*vYv`Esc<iN^tz%DO!=zG$p3{e$#S{iCO}1Nm=*}!SdZpSZ
z?XK^w;)Y@jS#qpjyaK5Y<jJTDgXD~8mB1F`d6IK{otxE9Jn?=iZzh<~mtZU<+!!C>
zlCL^``<C`wGO$A&GuIJ*Pyb1ZmAaeD^2k(-cQ3(0>$s`oc$Yk^F~Atr#<*uHC|N3_
za=^e~Gu0AHpI}=bOgzJpuY0SOZZUPjZ6mArDL11q-e|#ryP9v+@hP9B)PFJ?-iU5^
zf@jNgrmExh$@=)rOV}FlQ=qt71CB11V1<KZ68?dx3kwrVWh>a=D+3kSC~Ch1&?h~^
zXSBL!s#fXLjTv}`1$oQZA7-0gU=i^9Ol0_ZjN#`{hW(%F?v*Xccbv6D=lD&BOI`#O
zlk4C=K9S+kbV^<eHfD)yZL*~Fottj8*L$YKx;7a`Ez6-?QjEDv@)qdbs@%RK(?OFn
z;~65y-r>m^G_}a&%tiFmZ2urLUtE*q-%<+HGkh4T)0^ej5M-BU!aj(F;yuGb82HV8
z5-!X2N-~(Z-a=P=HV@CVEAFR43%8AT1-30$R|FM-@I0CD_PO$8B793xr}JdwHeeSH
zMWg5IxE7h>dp6nndwimKGWs+-d9n*TB2U)oOOEWxMJHMnAKv^}@}{{xFR3?y&JbQ@
zfrOemF=%T#lc$Qqe&Va)n6%w|FR?XOtmZriR1smH`cKj>spELe{vpQ^&eI(z%g(z#
zP-{3>8d7BfQ`tDj+p;-c4eotCR!Yc~Y7357H$YK<CTjERQr7vROU0jNcb*(1=*jJI
zQd-)>d&Vz0H%!2t_TU5@xfgt+$1SbBIXAstY1QP95;{f-Z3)4RwbA*jrvdrY2-KYq
zVbbu&8!=YLas5%QYPI3C_!h_Y${fj&C=AEAUal>1jq4q&<X+UXP<u`^JuglIVrcIY
zf)X_ufZAqhXn$D9cgw@SSkKU5{Yoxe7?A}J{~F#23()XL6>TtIpTuAGm8#bwc4lLF
z<{#u(K5sGUNXT1}u|e_{&Yu7~ev1N3i6eNj0!y$3X?MxS1&fK}Q-my_5~;hY+v4UD
zKLR8fM*1i|QH(^NJQ#_y+slHqr}An0zJR3Di-IK1gdZXO!`wzllK(7tbV}O9L<ek=
zz-XvsM07f@Db7#OciSwNOX@^O)qau2Kta;ixH4y3g7C+<bnXFJDw$UuppfJ;*)wd)
zSN?5^=clrvE|e3-kV;78Cs++t0fo*E_4X_6w6b=t{eb$Ey)$vz0(nFUJemA2SPq0C
zzv}MZAWHim;MqWFi%}1SLa{$gVylD1JP3`Gi9%@W!UWt1jT3MnG<>5Ar#M2}8fHvG
zHM4@ywgCA^gvO*{#vgq;SXenCwBIoe=-ZIt@}QK0%6JKFq1HiSjKFh8;!jf{CxQe$
z3du=DDP%iLz^#y+fI}hiO@9>fC00#-q%tcC`2rvxsgO(>c@#4HTO2aDystSGm~#~N
z&PP|Ice_NYITmiXVzA(9z7iby4>0Xn8Y~>@MKWTfFn=%u9n5@@hl#Ag%*q|?Oh39<
zR*qGyU!{X051>B5iS*HGC59qjKz`Uz<nz36%GNZ+z^pi5)+ky6LlKEclv2bEMScb(
z*-+%?_(X>y^vO3AVeIxY6uF|&s!WXHB=6`%y>oRhBNDpBL>=~Cc!8tIk$-qH$0vU6
zW@L?0Drws`t0+&@+f$WpO&t^vH}d1A1847HK-b4I<{<$*+?zj2o1!C{{Rhk->JNPa
z>)?oHu`D&$C+kgt!?mVpT54dk%6`w6v|2x#GJC9Seg0vNk{nr!)mX!v6}m>S(Srh%
z>6iM_&t<%*7<0(KP3AWTnfIW)jZg^W7KQRo2@`OmJWjxY^6-rh<>3JVRLAWpdDoS1
z<YKEPzpBTgJft6;7`~9o&?4$i3^Qq%vBo#-INDXM7SM#*BFb|qpNaB}OK`mx^bVU2
z$dN<NU5}}x*Y&%ra`O}2t$X9-FOa6I3sgswKLJXZC8X(Cab|frgiLT)`Mh)K6n8G*
zDwBmfhc5tl#CB-$q!!$oM3=->c={Y8atSWdK=dSmY2IQ|pULgW7@V>mt<nOy?uRA#
zDeJOvmjBQUT|=%y7Jyu3kWoq&hg|;&NHXO5&-g@<D}C}ISH^BH$o1(;9~*VJl)JsJ
zkKpyZIA|4uY@8`SetrAgPOqoL%i&O99YQ@q9%bCLmlwjO>g^rMevTW7JA3Pjp9p2|
zm!*<<+I<Smu5t7*1GJ7e(nHa4z_+9r@?%;hLh?<l#=^AArGD6e)_S9(*~RR7N5(z-
z!({k3L54jz_CKLeERJ1#fC)S;&+EpqoPYzz;+y{9*vE$%(?Y_m;Mlc5K9xan<5(sQ
zGxE6X5Yy*Br(I(SS!;`qV_gbo;@IMsKA^^>hZBYCGnMwtes^7AzM}E%>8|ch_lv-{
zuC7rEK>i(id6w|)QK^tJoOXu-;?6@?Pf_l@+>2zP+@TA6DEFFrw^nb`Wh5NWNQ|4W
zkko8KP^$+?En2w+!u>zk8isJIyl~31XsV_mTp<TQxH9A@HH$;I&jFGQ;ogK#6yee*
zAHrqq_JVLP>QwetN4u?_GqZBj`B_C_t<H%b(Y|GFBU-Z&S^3x#(;h;vAf1hstK{@u
z@GJB(BH3pCC{2SxtJehWBD^Z%uVvX}{&j^~y^+pbYU?%9FLfX&)0jM&E&n!!{7xw-
z7k>4?!MmYQEFAoBn1CA&asm!Gh;RA>2ft|5<cCnR0tY`wWoQv~!$Bqu(@p!};G135
zYOz3vgUU$An@||&2TVAq?cYsfJL~)wYO{apS*Sg)cl~{w1O)JM2|<aPyaH;QCE&F_
z>{i7*Ht!n>V{YZ*&4Mw<?1Xq}C+qMUL0AIoNYcfAE?ozC!U_sqj>Lbw3%_(770~6c
zumudd9L@_zLKo3?fG$#7RY%1^my>}cgDxZZM4=0P@<A8IF4%=h$!eLH`4-m|0gLil
zGqYgkHG$_!4xb`9q)#@7eYhs@Y^8wen5_ag1&-v!Qi__1pyDqJ+~8upZ}$aOK=g5H
zE!-()#IBU3lE0gq@K2XJ1$~e3m4Q=ILN2fozA{irm$a}N%D+nCJ;tRF0%f{iN^eFZ
z*Nqvxg-*G5@}^Ln=UPAw%6Y!Xvr}p&$bWFz<13&jz&W*3O1~43!$<umQ*d_#340JE
zCmA&{{*EvKH-h8@90(HM=*F$JJLg)xPgpfsU`|6_u?W)MG3CA{@S{LC6*S$@k%_^K
zL3;2K{tGjSiK|+z5#n2%5qD|4qC)-xs_G|ds_|<AZ$cLN`5w#*P+0VI_!+y@35)a-
zJI_Tgp<NT0H*mGatDR1(9euChuQ_94YDHy8lQYD<f<5s-jEe~OTM2StssF+WPSdy-
zVvSyam+$7nKVjz;ySZ=$u#x}f!e0VGc4`Ic4ZFFpuv}2>@T$Z45Zb9xpzdYhR=VeG
zJ$5le<o^jpm>p^7nH*`~b|_Fp`ohDQPo;j54M=#99350K-C6N5#Qf<3r#v?}uRRn(
zg+&$Y3Q?I|j{aUr_K8fgC+3wb*@`9D`Lr7EMGp(TOfD2Dc=@3w6nTRf+<%yRNrI{;
zb=lt1?cJFQD%NIDMbT#It^+gt+O$cadT_>i4%EKxkUMMpXW5e!nO+g>#&8~Vrz|^H
zXXyjNqYz)+?j`R$a$kfvDVxd$7b@0*6j@MooZ8s5O7)K6Qi~fg4Cxmk3J^oj0|N3P
zCoM1+jxSYTk}7g-iD%UY{j}^2V(ha9j;FQWnCkW7XbEI7qXEF}P-#B_AfXYQ-pUwd
zcpN0oN2RC1dk60nC!&qHn^9B%sVJ!|s(-X>S@>?ow*Vh3VfK&sL=$H8$xcTx-`VTk
zj2H5VQDps^awKZ!MebvBR3#!(m>DW9M9kGATU<?`uEHP8{$dGS>g`IP2qBblkTOzg
zP7OCFD(!Y<-%zPh8LKv6D5ZYmw=(kMu=y9Gdn!{?fD}jQiHdk^_E4$b>{@4M50%C$
z-SOIJ2kwF%!S_(f))VN?^K+|BxLTpxYVYb!Pc^E$6ulvhHrA)V!5PRQdMr1-i7!dL
zroJ&m+tSX1i1v%=NI%YPR-gxeDA671M`Wpar%)>UCik^-8Ogs*34KAf)t&zf<=B**
z$mg*ds?sXQHvOn*C|4J?)#N~%4gQ77tu4kcL~v$*m_qtVP)MG9+7F;m?2PPh!vx&<
zG)};gPs2BQia^V!4JeajEly7&>Ytc$ShdQm*Kbad*)^S%v5YGO&<22uRMNtoYhxlZ
zgRDM$6;_YAw(qe1Qi_x5Pg9DtlzCvGO5#sbh{uP8=x)en+UB@jOQ(kkxRr?$a3~YL
z@hH<8rA+4izj>7EGOPYaN2xAm0(P_?-x%%JGUWbyARAUGt5xn!2r~iBBrR9hjQ@>c
z+FJhDXQojz{vjJ>EwKzQsM-$6Go7@KJn<i;{@P%(gVQZx?FYpF2RN=;9C0Xa#bE<j
zR|ni3=42ThcUjThQ1-d$j6qADT1N&Q*|F3u#lgOmPg`je7Ou_u)%0+m2sYmnE<Xx|
zV#DPZ!UWvL#R)j{4Br?QuAspocs^_jB6A@*tkH3f{7<afEl;3zqR$%5V~rEXIr1S>
z{6R{v{u?>|C(Nr`u$(|z8jjq~0jo_>_biO`jU2gTv2aLUN{^4G9<L8Gn^zhzhO!6@
zg$d+WjYUW!8c3xz!+$@?>0wrbvT&Fjk~T~(DyUxEe<q@X>UfxTL|^qBR9SynLBJhU
z!_E!@TI~HKHwBv=462zt<O`~Q73QQsP-P5S^3*yq7*rqQN{^(X=YaZ3giie@)8G7K
zu!Wwuc^4FljhpWa6L1?bC*Uw*d}A1~iks9C(aeJ*ETkRbXRMlf4-2^*;eAww7E!lh
zg{6_hupSCFIcQj!JQ#+xaO(*|_3+VDxj%)uC}32KxjaUd{VgtUaV49~mC?;dB`=xQ
z@8yyYOW5lUH0{MwIL-4!B0-H(bkIK(m@xf?9}XTDX4vg7IDxcWme8E9C6m*_B=XCI
zQ<)WcTpVULr#$rJmuZ!wVLJJRqLV5vnIKqhhk5RsY;FqEd9-A+zz>~o4Rainj3erz
zeHl?V3OfITRm$=`MVN3xXI;}wrT*tI2ai_A1(o{VFwa4$r5&IvRrElZLWER$9#*6x
zLQo_>4Kv&ak^C-9;ZYGuz`R$iG3~KGmK9~x>t}^@T5+9``?xUih;Fj-TC*9s&kQr0
zQ)~TB?&2_={6f)5%~Ir^2=m-G*|fuS9xd4fO#6jlj)Ri%L~av$`{$2dJu9TsrmgFj
z8L!_Q=HL<SuFN5#*gEPOC91;Y12D%sOKae?t5O`xeZ=CoIeM>`gJZt_{6l;xfqT{4
z8FEhSz#VN-iFpii`h`?8@>x`|LGtNnP2<bW$-f|1Y=QiJyl`qofTo~OOza00?SVyj
za?OfT5N#1&;NrUP14*_5?+5rqSK!en&k8)wZZD^8T!uHb(ld;ET!&|!gPi-!4bjQ1
z_ON8hzaH<dxw+|*?-|ltkg*&ux!AcDPl}*S<vJ>l2czrc@J`ZQsvM^(*4gn~v06-R
zo^8yRZJ9qx)1j--_d6(vJT(IlnQUCM{6}eR$vo>GwYY7$6ud}nYQLC5S{)Qpc&WY;
z6<LMVSPR@%Tb<5$Q45Hi@AU&g22=&29r{mZLyitM#4|f^1QaqMhyNP9tziOgw8IHF
z&<?&a@)X+aK)%zC&$DW>Mp&AjN9IlQO&Xs~WoQv~&kitYnDInk=ppP7*PE?#Rjai{
ze2d9%mm-?U@AXm6CXN3V(~FZ$O>6gC-i%1}@TEy5qc3*zr>I{T=GCpVoIqL{Yf|3Y
zN>|?+CZ}~@q$)Zn_8=#J67r2<#)EQl7&l7LFz%>)#XVLj%chDj;Y>oh5^eW}X-D*2
z&xtmscA4HmjAdL#uL_gjKpdZ?v5a;MjuY>R(ab!;4|EI9?>O|y8q6GXF5FJZkaBA>
zeb~6Y9W?fH>1D|;Q5grxFQRo)419izEnowmhj`)0fsbfA4188$NyIWro8ksOOAi(U
zpJn(&2R`)4H}GNX_A>Cf6p@~~B(%rTk34Izm;I_HN8Z5?-}30+;*;!9(Z(_}t-<th
zv;kM5j+F4fxEN6kA^5%?I@q8q4{^|7Y;LuAWouSfSwBm~q{E65^sVmOO)nir%!kRc
zbN%RjO9VEyKPp1*Hr|geV~hb5Avp%nelok}Bq?6kZXM4UU@H`g9Rr*lCg6_HoPYx+
z;2T|)w2deS+R98@Uv@2V$1g1$w#%y6)KMLBN8+%>lt?u6x*{c0KSXVYd3DQ_6G%f;
z$D-Qn!vrFrjWrXKZ+w)Ng&&5#Jj`lP77qPF(uRIT!O+{SQkL=*VImrazB^1iqOW>}
zp{&2m*dKNs4#_i{k6uRl*<iDStKGuh1)!X<+KoYfo;-7n1HKdHq`-<d#-Jrnts})i
z9tZtffO-h9iEnYxuVN_~My3(5nS*||6Tq{~lD#zJ$AZV0_F`$i#&oRPq_88}ZT?SO
z^Ti0rB>^R8@>r;CmPSDC6AdiPz=uJ+cjyS?Q0%CfW3QfcNwquOZo=`OD8Uj8GicDS
zcB}0UyThkjtCse(CaMj7mrsSlKY0dC@d~6$kPWB~aNJL{R`6lSyu)_1Z;s^61S|T|
z61AO+9Ys<mUv>QUE$z2tU`M45*TY~BNu;LzB*jWW^hh3=l5YYX=!lcB&^n<{;3&w$
z8Uu_`?HH&t6;3Rb5x>AdU^CScOP}DF*><(tu2<m%T6#Z})Gek?WpXuaNt1JV>|jAU
z=8z3lq%0(MQFKGebwK1L<UTmqfRvz=ItL8YiV%1SA~+vjKrmgKEG(5RO8CkM_7*rI
z&(|Bl0G$W~4hT76Rp<AG$lmi9dlkx_|5M#<CJU$b%_Il3tCQ7hryBL~dUxh#bz+(c
zxyU3`925|obf!sX!Nx4%tWB1bzH`&9_MWDc5Z5NdD4ZM`BNaV&N!|jz6O}v16od}k
znXefnPstED_RcSq{n%Lzt4i`9`}9OwYqrrZV}4p%y!=~AftvdppgO%-ehoo(xw*d%
z3&orJLFq^#%+vKsGMKpDLRY*a56^He-5|M}3N73=-WAxkTwM`V1oB1JYr=(#^E|?Z
z_~pkUCQDJLGhbvMu$u&?{P8`T@_!JYXy%JPc`{!-`7<nhD)-%o-vH^EBS6nBT~C%(
zo9LfAGnl{GmF%ch8&f^zx>){FX1q?vLoVPfpUHZo+V)?E=}bu>H$CLJ++d0~ar0^P
zOc*};SF_=VRK_6FRRL^78^YQlH*0#{N}Z=h`CrggaYiX%H_ng$LY7MInA^)2Shvtg
zX*D&znElE(r_(=7sVqDsB$aS_PsxTXz-p`s@rC7$%p>{qT*w)RH?F#@;f=hs#FZ7I
zFU_W{4>nDY1bUpV{ZK{ao(I>D2Nog*cw&U(5`uDS<R_quvoyjv)Nkn+dGYep`Jw(4
z+dssO79jI$0biPKS3hoe{aMw{c)LDUEmazT<SS#1sy6bHqpPgXq~4LUQRfE9nbE4p
zaLv4u?isvs0L;~jzYEW6PEB{&jTV!w_MS=?2Ci^cs($2QXL#VE>8|^;R;McuBkf4R
z_qkTpPnWWOx+HHuk&CeeJAhTm!7+mD8<w2R!=k{F<5*}N_sZvI4jn^jGI74iAh{+F
zCln!ep+w02X<!{Wjzox8Mbyd>qUfSr2vK+sDZn&BWP`Z?LcAS#WC-yNe4+@EKFtn7
z)Gipt%boj+6?>T-RTmW^UtZKW*HcJ#Gbqvt%;iov!>L(I`c}3$OunPdmyV`Dvbj2x
zCp*j^r3a*t_=BLE`62N=vedlnHU*AXnH?gA&-Txz%<hw|cTKv60ke`ExfiRk0CW1j
zIPC_K^h<r-SY95-dtLr*GXL!$^PXv+uS22O8RK7s3AiWII047J628$DRGTrTvyz_4
z4#%wMlC@?{{<MW}Fkq(Wl6<qG3xIqo61rE7GHEE-Z)XR@s0k;KzCydk-xl#Lj<8(H
zXO6J86mdX~!C3BkOeG!ecUR@+Cwc~JldD^`c{475F}`zkf$C`TF6hl!8sE8-E|&ij
zBfYoI?L>#gHD3VtUhXQKV?J%5GJJvW0^tguT65mOm$w+I^sC;yAB;ZXf0*Z6LM}tS
zhEw9B)tiqE$$PMAY?<E<UO44TG^ImS&6Ax%C;(+;z)=bpx6F?KNd{%F#wQA8>5~V_
za&~)J=69v)Vt$o#e-Z5kagHtn#BtXApmrYK#f`ldz_pDyk(AAyPkE)?H+=iTXj2n`
z5>vj<m8ItD?F3@STFOjj7^GAXca7r{mJD{hF~jhT6hnTXt3*g{#cC{|yIkrA!`y0<
zl=Vi3xQnrn!07A`li{}n8TNqNH$tIUaC=XffE(O$0uFGCZ~6mnKW)|I2ZXZ%ZttZs
zw1~RFEt7^Bg7i$hutNm5cetw6;+*&v!L3W-OmJKHUNO%Yqi}tu(*Ae9yRI-_(V+Lg
z;`&8^URT#B1t8Cc+GYv#9upU>#68aQ(c9DMjvKiSWkKH|FZ8{p-mTS}C0q!^QH@N&
z=PM+Yo2-8<MZ1ULKi>NZb<-DU_XcbYL%WCa!jWiK$N|u<j5<ow;?V9^Aj#0~iTFg(
zE`9Q$UB+%NX!nv1+yy?`ZH@LJbt@<M&&><Ev^^&}KYn!kmbpDjG#inXuszA?D)c(i
z=~_7-t?#i}p_dV8#r#p)2+hH64;n}~pZHW+Hkp6Dp{|BWr#AbY_pC}mxv;DU8djiC
zEHvzd3AmvlC*XjF_(u1d#q*vwTQylIO@mXj0u5hCWoQv~LqjGF(_icHLBKtPhF7|(
z)!HJyMQEsugggU<fv&)WhT8O}wTKi}p1O7oysKxS_Pny>ZE+G1Aj~BMC2DdO)HX{X
z?1)UyD)1NY9tvsB<r2<<G{@|O*vVEM$mIhiSm0cNWgOjFsnvu9^_{CFn2G&dx@htM
zGBQZM#Q6~u$(BZIswZH~Iaq?hn9s|`1dEBJooGA27^$$Tui{|L&wwO@F+ayA3S;P#
z55_Qddx0@KI%02br^jra1Tkm#0%9aLeh4#1&)*X19VJkn*9m0ip6E6+DTMN-O;=x2
zY43&$0pSjNx<}ZFUj}rdEK{WaBn^XNm;E1ShAC6M!`Nl9EIU`P)$?|PLM|%}soKdb
z$J?^GM{eP!O#&n0qbc3PrG#9dCAdp&5Q+kHQD^KdWt}gGi9bz(n}Y;BD2bEOwp#kn
z6gnkLz>ShP0S8LLH$IdEO3oUaj_8Z<o!Rn>t(r_l)=@|-N<tdZ8I=oxd}@sAMoCN>
zW;oFK6UYZq(qmoKYN1MeizrE%BUy{W=mSc+u4ke4jFR@oNkE_^mk^Yw$)6yU&Js#G
zJi~oUjKn&JVx$FJzF8P)cqg1+f~g(4Ym4nEtWV-E`%2YoaktOz`rc}@#9V~LN_mS(
ziz0uAj17{%jqZPenfAjH3^Tn}HqLL0+C-<21z;wrzN+WqFw=X1B*RSqgijPR(I+2f
zV(bEDGAZfisImBTxMiGqE7HP8v@o+^nJp_^Lbo`~RP}nuc?*H1k4X;yO>#(|Yz}KH
z1W>IN-E?w})JT14ZiyXj2sZ#z(4D!1WaCV7N=^``lQW?kv`Wh)hUO{DPUZmvDHC8g
zh{g#0I^m^kql^rc{7<Re6!&}`q_4B$S5e_&abEE&vQ%>WoXnk>lBX%N8^zlB<e0c_
z6oQNW+!X9XQbaDuQ?A`od#Pa-LcBK^;w3-DYAF9|CiD=eN(gp6Z%yugpTS+|c4XE0
z8g~jvu1TpT<4nzrdcMd5C=Wa|q_#moxdMtBfRgPBHn%@3<Feq@`XFHsu;e78faOq_
zfE!qH0uEq_Z*=?CfHVb<o+&{Guza#rliyPm1(vm+CHqh98(}eHJ4RC68hjeijYO18
z3}z(KLyxdAM3noxs`VgBm&Pk9<O^U-{RC6BrQ|l;Oa4cw7o`AOmbj%+u=FKvyH2pA
zZwWdV{RE7XnM6mfigSC?xroKtS5f;dLjrLbuTa^9`Uyn(EK5VwddlRCzVJZq*0w;A
z>yaEA*B72CHofAFRs&2GFOz$KJOehMr<)zv1~JlG;Uf^nbs74VEQS5^6Rq(X@^P$n
zIsI!-rQVz&FM*<J=U&1=lxxF1q(Pc9H?xxm_CP6i@&M`$xgTpSEEi^c>*hyvr&fW=
zXQNQv_OV5$gCV^JzT?2WiI4P56KzrDQQO4!+_PX`acN2+iF$K4+p;Ui6;a<x6(e^d
zy+Lw2Co6ERsbvnH=TR>>MOr?uS?|^>jrw&}b>^g!D{QT6jgjhjSIRZMfD-Pzm~h{b
zSGeTuSb}YX)3`4>*0@~e?nm(e;!-)M(>26W>B8RmvFUCV#vV`Yp`u}vDRU@7M5~29
zhDIY#kkLVBG*v%%Wql@jl}(>{ZTn~0nRI0G`Cw0mGqRtNWs`Tz`SD3gdKB)f0|Vst
z5DdW!N9==7z9ZYp1{x~rf*6^g9h*pgVwLhcAw4wdJIXURkzhd50G)(02<njOkhc~{
z4F{X5Gs(A+YfC(<H)uY()!rb+K?lJhqV_9O!xlZB`G2AKei>x3qk+MDfyI7;K`J(i
z2a`DC<A`xyDn5<mpTbV|9W_?-oxp(5i*FSW6+pC?3Zr^R%b+cn4%U^TItJ8(CDAtE
z6HTJgCp$&OJm@-Zenlh4cJ3q#%sA@4xFn|>&+J3Q@P>-y&GW{uX3sc2GZ@uq2p=gm
zr}s?l8*WZi+U?4|AvkxeGu`OI=n4-n8Y(p^W7Wp!p32k|z(n?=eR{F-=*#61Fv3}B
zznDI1TOl8Hsw_4C`bp)vmT`*^LXv-*BHAGv>&~==a#>1H<RYww#uk;!qT{CmUC&3%
zD&=)B+M-nv|LAQpFS!^$5{+elm@S<Qw$zh+8iPWyYrnc-0`BA!C*Vjv;Tuo#X{BLK
ztkLQDP3tRD8n;-r`@?r6gt4d@bDkkE^CBu?i@bZzlgY{qM*4_P01eDgJ(E_etsh)z
z_?(pbEaR_*2FbrovE3aOo15=9GhU)Hm>&oea4Qif;7}rb<58mA$Hacls>|v#E&Ug%
zGK_<0O}U?n(V`lXctK4$*b$CW`m)maNNA1qtEoG`3d_&kl80%d^;>WJ%PJNQnw@Ql
z%B?$`fJ1liO}}*KabebGU3VS>^ds}&Odxr5C;MAmS>cM7*7{R=Y_exk!F6!+wntg2
zr@Ex7^(A-6Vp)Yt0!nt|B+$268vLybVpOrHVt&CrI@}xKHtL+t&=Rw2cBo+vow1kc
zLdP5FwjhB3E?|&MM(deK6rYTIu@xNSyl~3=G)2+IpQ1%D{*<6nDTy}z44k@j1CV5c
z&l~ZH4nFCVXYffFyS=P>y&O*gr;{4J4nf&U133`QyY^M}bKo*gm9?C2w><`yzFy)s
za@8?ZvXAg>oPQH-Is(07)^0|Yns5E12B6yAn>>@M{UTiq%~szfo11?SszgQJh}Bqw
zQ0Hx%+OWX+Uf*u6U%koOq5oty<X?gf@r*Iw2ZdtCnD>PVxFH@V;DC7e#sl$W;yf-T
z{%xx!3wvt5K5}r7K36F;iu^j2p+(e<sF^g(km4IfzSmW)))ry2i0@pAXyUtm-o`m_
znAvky(={F=<?XnQGbHe(K;Kka|5Zop!o0ebmJ>*)H5_+innrkRm|T9*I4DLBTGMj!
zUxRd7nDL;T9L9~L4dd1l5Z8+l>w@dmdKBu5cUYw?#VW!C=t;U8UHj?A!n7lLE^4KC
zwq9p?2Qj2^8NDh@{u2DhEDdSYN^uY36H{69?K;j^@<@_3q=~&>lLzhC&!sORH={NV
zk{3rSr5OCY0$acaKQG{gBL_dC?J)R}U`DA^+~DVLfg~IJyaAu+;D<i>20x75UIssx
znO7k7Is%eopPrU&m^^vs;`qd4U|eyre_Wwfx|ZqVBYGp}Jwe3`ukm<~EIZfFZneA7
z!uQd)YigK3x{NUnP#r8{r+y=nbQ?5?enyJdHK6f~1MY)DCZzJGdcPhf;EvLqfCDPv
z8v`n+d9~hd<oqwIVhc?~M09JVjN?YmP&ofZN~V68x^$f>1dCU<OgVuxzHuxYdQ6x=
zeqrPrBc)~GhoT$8tOjM_&@Uuy=vNdJJ-Po(L_^W@!?Yv%s%I$5`pXReVb|f1JhORo
zxAB5gg$IKt({a^;%?@r2340enbNO!Mye`a1fg3p)gO)tCjueA=oId_{>NhM8;P@5?
z{wkJ|PoSP-gfa*Ixu;rh3pQTQR>Y3(>C{s6sP$DqKLlB=i5-^&l$^=iK`OH}3i7P#
zvp@qM3i0lt6DRNF9?3b%(D#89zfqG9Jc?H!O_O{W^<j|wOSD?>p~$=gceHQb&zlK-
zGy7L^{zo2}ihET)gN4=!eF9UN2Ul|bFuI}ojg$94DYY>M)Jj~*`CWJc(bRP%C%!VG
zy@if)Udj1Kt2)0|M)vrXoWG;&`9IbDX09ta{{$5W1w{AVN$I4n<V*?2b0w$ayWvOj
zN=}=;^5>X_&_fXOHG||^86wBt;rBqI{e)Jq<EQ*e&QH-#`*w}eN$XAB^lJ$6z^~*y
z5evneyYpsEwwb{7O1gR9m7Gt>!!x~b>1-$wir-pSVB2zaMNkpMm7Kzbi`@a?LVW4D
zh{;ma>5~!28elhcB`3aT*{?P}(d-v}@?^hw`lsl+^Naa?l|AiLvS$3x=w<0SyXSG~
z_U=ptI=QwPP=lK6&(3vu@Dy+5EZ)lbQs^x`X87$=z;v7^f3YkzPp&1zEUTI#&%BlM
zHL`uKJW@Etr({EJ!)mO=S*}|-U3FPQ9C?aZ<Xq1`1)HYF7d=$#d#HLIV807k2zg0s
zl;aYD@@wRIP}?kxavtx_KvP>sE1zfAa=w6fedgFJ>%L7s!pizg23YcSq&!Hz${7&R
z$?t4Xy0Gzio_H5JdU`-gS6lzr=L<Bs;QL&w>ZgZTKm8<cKan3}3AP_u$-yy->>Hl^
zQyvxtp8NwATF2dTzpmw6eK=IAor{#E)PrONlnD7h4J9JSktp%E^wS`9ff7X*2|HBY
z)G@{o8x)22kOEAj#LR0sPllE=lsJM<6eZH9*+GfB)a@$;&vw`6_}MuMYO7*Tv!o_x
z-dWPQo=CErLBUR7PPgigsAe_kqu%3?`3`aT3r(}@r;3@EaB?qd{wSRwok+Yi+NgC{
zyhE0nm;I&yvV8?7mze#tDYJ3e`uw0-Nsf$RH5O=|{S)f<1)29u|4c)n*qP%OhY7f6
z_Ba8@{1U#=qmF(=R;Sx$6HQkB50ZwC+0oZqHTffmZ$My873Z5By^YGyBI;g2%B0~B
zR>Bl<BI#MKYCRK4F6A>vS-Eepqz01~f9`rr3;RUByDB$7(KA^ejg!Av&*$m_)zRds
zP}?kx@jRIqGa|{IO7rq+&I`HPILCe3U?uMzn>;GyEhcrE{0tczBtPZ+2{>vw1I=pr
zu#jAUCD=;8AIZiAiwP7fWC18v1{$SkaVz~6mIR7jgijR3(kBm!<?Lb(s%XCRnMxmv
z-^dvPvlqretStEEzLQgBLg(WhU)XN}NV_LeCUfOd&UK)(I&$!vjfkh1@jX<Qny+1`
z(5>U@P43DZZ=|=P<ANb6hWr>;iI5zN)mRwUx_VPvH)*}mS4U=E%K79V!ya6F8Wf7f
zwL8KD+_;t#aNt^eqibhzTsvvi<k$0A!L?&lh89sbu4U3NqmZ767j}racEnY!79qvA
zxIoIKa3-!TeAK1~-xjXVw6d4?yXy+`6^(aa8rLrZ@4C81DF8VbYMUjzyCE`MNys}7
zZ_%dt__bV#vQTfn3pRP6$X7^eH~A-I3YIQ%-r^DOAy|ST-gnA|S>8o+1DHbQv-?60
zfOuutQK}Y)c<%#}EN}ZMe4>b#KKT$YW49N?yHmf&v2QzDp3)1<)j9HKZ0FxikO6S}
zB)7NFC6Uh7$|-66I92lwPHsl#kJ3yi)cOHebGMCz=it91%l^NMIoSfJWfS!_Udd;z
zJO3XkC>Ngfz{B4`p;&l$z!4^%vs{)N9&!Q>c!+QM0}qb~Gp6~{S%HV^fP88W&<zin
zG)$N6gNMJSU1JGZYl{vKm64ENp;&P|V#34R7jr(fXQB4Ixa1s{VAB#1K+GisC2I0D
z5X>wAu_LoxtH5Bqe<-Z^CbxhrSQC5ICild#pGzN2rm(MJm0NU|i{#xmsIt+<T+Iuo
zEJ5oq4a$hN1C)^(t2!$V%DfOrGAQ#Re4<c>KKY;wW49M5bFsS9v2Q@;oSuM;yq3}r
zWBxC?n^Rpbu4h1pwO%o<k?hmuoPQTIj4*zAoh<wRF6W%Vy$-3%IsaKo$OT-28|K~(
zMFGC3t+wJePVNfDpVHM)IQsD*K@U>mq_ka^{;kEI4-;@BB~HMBl<<uYDdoGI^T$?A
zesmFwlv0;-hPD!aAIPWTgBvL^X_yhghm_v#s#Xg-I#N>RNZy9R=mSzZ=t#4B@(Z<R
zq_hfHNC`GA0fCfULQtY6e+`0}C8XrOe?{}(5+||Vq0r(s>?rSn{AbAXtMgv7$(=;r
zV$zwACt=SIk|#zhfWS?ELsgG9ZYwVw>OKuO30VMclKQK<E)F+c2qYP9+Kx{YH_;~_
zZer{LZZaw9_NcKa?gs-F<?VrH!OYt^cS#PPAvvT^Hivz<o%7tY>TS6EXGf*e+0m}b
zn_>!F&-v$ZK+a9igm3Zpb3V>pU3p__<y_Q#oYNq0J=XZ0neeJOrT8paYHls_cFTre
z$nXeX$oT>(BNxmGU&yKCOP-I_(D_C+3%b_VPL?q8y_SxQqN2ab;4gHIfr~$7@}vP(
z_cNe~3kqkTUUaE=K_Qb1b*W9>66d&D-<bYX9JlvyL80;%(RUQS#gekx>XV#V^o~NC
z4PsnV_+F&Q6k#OJLCI`}<_@i7<3C%?Fx^DHn+o3zb%ml|;HJWlK+*g+6}}Nlu?^X%
zK<uW%UPOZ`_~p5_!^P(k*u)d6VMaKow-tUKzT<OMcj2RbTj7&-PLHv@m#s;K?KHh9
zO~UnhQ}PGA!w{8Fo}FF10_nZT*O0S8@*ro>J<DK$mASViDcoUB=?`fa8{)0>?kcQH
zBl8tfQvNBE@{jXMnfwS#unk38D~c|kyCmOs;gCqw{*P^Oj?rD&uw%opXsFP|(5kbe
z1Jy#3(YIsR-1ERay!oT-JR0Cv9K{S+@MQXI-9B_^x4$ekx6aWH2#w=Ag^w~f2@lFf
zy0KXZ`zQgC$740tTCiN3gk5#@IFEBuuxWa)`%*qp*$IrP`elm(n&D-OTY-g8famHa
zvJ);LXkc;?)YeZhNhk=w3$K&GkWz7=IiIY6qTwZ60W#5W)*fK)VzNGyPKP`bDG!oo
za0asd4vHAJ3eTzYc0)SBq0!T%h_xm7ecsv2rQhdTRcGyCopp8I&LRX$u<)+rFq`{@
zpOc40v0wOlEVPb$=zi@NenlQmK(hzQ%b-Na6@mqb1AdU>42Uic_}Ldx>lc?$V-#H^
zj8QpO%pL0C09oPd&V&n*0!*a>c}6dAq0IY%N0xN_06x*ABYm<{dW2%9UT-tKDEDoq
zZaY^P@vNROqP$AdI9Eo&#JRP&$t??UQFQi&rXLGeAZ|3BQrDT%yWk)d)0DrJt}o&0
zGq^<=|8d@Mx(l{P4wdT7?v?h(W0mfBZL|Y7zK`I0sATI26iRoeryA8=ipr2i5o=Lz
zc>YwONO}Dycg6B==|m~a{vxQiKZ6>cEdHD<I}i0iU0XVhrlR*H@4eaWU*2Kr($fQN
zHux86x;XR3(}!e-xCREEsp20&q1Z)rzYh~|PZe_lj;UgNqbr{_H9laew#qz$+Oqth
z{)ws72R^~9*FSdjjUud_#X2ctWqxQNu>!bAMNjwqF%ywLx``n!Zp8Q=>o27^>^9|q
zwx$$mDf3_ScUa^g{xpTSH7rDTL$=U1$K77JElj|zOq_s2nedHAnbs&};;xsAB)w5u
z?`cyWS6KBwI!d*Z3E0tod}Fj<Tm0d_{iSJ@vRdWtgfJ7}Oww|7-Trb@n6|bez-OjC
z5B6D0EW-<`wnOqvC!>$tetodn!4*Vd?T0aQz9YBa9_FOLk=u+xOP*Rs1|8Y4#udBl
zT6iC5O8GSFCSD#RtY1xw{$#NEo^bhZP$)KBekn}AZCspyL(lMyVc`lI9D>Jvr)1^z
za<02&AF^t<Jb~7UK5MjsCL<CZE`O8~tpDbQ{|)o%7Az-__DznnNmd?hin?cEq|YV^
zL5Gwq77mp}w8lqMk4s@@^GX9oAQpk)FoFE4u?T7Opc(#qEVhMN4a&k{a@Y}u$wdX#
zo&9GbI;d8|v?Kbe=b*~8*9rpepc-~|5YS4C_S;V`nG4)w@w{NOgF!WuhkQYGCd^5J
zpvoAu<f(OJFsMGpm0U<g&jIz7@H6^ProXv6*g{X-d@~e^jhi0`6L1?bC*Uw*d}A1~
ziks9CQLNwy3u#CAIjg4L!$K}cct4e)MbvFrVQJ(rte*#)95k#<9t^`;xb*~~diZFn
z+<wQHU1-XH6fi2rTppv!{ua+ZP)RZJT}*GJmuzp!oz+Y0<`P<mC8WcHLejJ4kqC}c
zi4N3*z<_Dveh7C$m|3@ta{_63_=oLhgz0E*G*T!!sp66e0=k`Hp8F=7N|?^0C7T6)
zc-IYc9F&YBGN3*gks%7+y~rwMI-^<<CY<n2*EG`|{!N&JN3`QI-J)12;qr{CFu4!B
z<t(j~SRbC?k-IpU!=~#HK8?ORVi(7OY8Ae@R51NQb|Lu?cHbcRV016?r3U1F8c`^N
z@8gA28D_2XwMkLY9+(uBVMz%;ZYRd)fh3z0{Q^GGNm2UbnH1&h_OgTZ3cT2hF4>IV
z!0PU7`w->GeXQ=vh9z6(MhG?=OwZ(=TgyV!BI(w6wbN;}^%l@IV1ctZc4i5oOnYdw
zS=j><m@v!9<}UY5Rd=Q6in&id0=Zg_?aZ}+Jbh>WC=H0tT>d=Tdc^n$_kR3DmYQ!J
zq^5S4Yud-A!n9vZA^neRu4_gxJiV(#MgEA@SW5+0Tb<6pyPB4AzSobC8&DMp;IIE=
zHss(9W~8=au6q!)8VZ?s)V~Y%h%f<nQ0D|3$O7LO$U+-)<~t_&B&#N?<(j*X1hDy1
zkz1(@EutZDn^8p{bqG7eS<C}m)oN`K-{O$UrHJM_)AijLXOkW_EXH!yDC(+y%bO92
z9x6P8N=BbT^$(&tVP4%z%L$~Vu_ooMEzvwTOit^*NL6%D>_JZcVZ%(A@t~X>#*Gp*
zj5})B@J6eYWm83%a1I+>Q?2)eX-D*2&skxncA4Hmj22u*uL_gzK}4FR(Sm1ViiVgF
zj^h<fb86*p%6K(~`O4oPax~yvT&*nzKIYtNm*Zt)qZG%ErPdgMJ;-ubRP5(6qLXi;
zIu4SrM{A`R0R4ah5jp^RkQa^|0ExE407#-4rB87KpkDz=HURoHKG6XXeew-}7`wd;
zfG$U@H&tl^wC+~hot{TQP))5hv2i9jzo!MFCRg4;5Cff|?L?OZ#ui$$>EkF~hdNTi
z|Ke1)7)tOpmvqoUZ@tFBgMI?wDw|sdn(d#ZdeY&=s<P?hO>Z4W&I7XST)&RRmW+k*
zkBX4Hjr*g^7-IoNNR9=xpUkc~T8h^-sPW7{9RY=6#{yf!1l*CD6L7!<d}F``H5NF~
zR%Y7zvTFeqere&c^Q?+Z9o3<CBpzE#i9|!Nvr{tlL)B-5d3DQ_6G%f<$C3>aCJ+H}
zto1AT#z|>e_~GacVOE2(aOfA3HuNhBj=tO~WhqY)CZgf!?P1yxebqA@W&LF$fUxUu
zNS@hz^df~11)Ck5OAULM+$;Y+8|I|Id@5tmlBd>@VnC0B|8+n;1lz>7IQUnwlpKak
zr{`1IIy28CzH6o1FM^FP;x;Mlh<2MljcdLb3ArSo<V==8ZL>5IIywrR$>|f;KNOrV
z<05vBH1tDFo^(mIJKb)UDkYR*35FXq>{GB?nryfBl<=s4J*|mqqqMuew~Ak4kdlLs
z;uT0xK@QmniZw_M#(!w?-ia$TW#+??d57+3-yF!B34QaWC2DmQ+gDM}z9@BIha8Sb
ztfu`W#Y$mxIgd=m_Q#{K&^m7K+1nq_R7kN@M&*E^z-Fo?mOgb`rFOO3u2=U~E!|@3
zR3=w1Qvyi_RK2pH+D~RfPmOLUxekcDgxm*vxXCIgr4Dz&`8onGK^ISk7Z6V21j<s`
zLVfs3S5q4-lIQD<V33Z_r?5Xv#xJp|vv7c^_2hYsy^AP&{!ewh$u4I-pk1A;UOUyO
zkJr01H>+cCOwdIxg^Gg$g0pKh=`7foC7iX%lG1l>y47AYn-b#MWEfQ^hsH=T<}S%w
zpm(Bj=#HJObTjS~GenNc^9!(Ns2uGlax?Cc^wVskU&j1&M;L<qTS|eN`^%s@y;*(@
zL3Y2%*u4b{#hd#<=|~~Ca=nraCa$+2t-sB~Gwq7kQlW+0#=8RBma8j*iXiS$7A`#3
zzGxAXrKr>UqRDPxHwo;E#`i1(_DOuA88G_f$$;?$(6E^1WkIHP_zjStIRXYq)-LX3
zS+$A&xif<qoL$K?)a`Tm?ooCF7kdprZ#giNH*XGXu7d=-8Ck0VCf%|fHtR`W&JmYy
z?Bi9+-vJGc^F?C3feQq_Axq86j#H}y>^qY=1h9XW?veWMU&_|IAaFSAsU$}p#%iow
z;_P3gylhjj!`+kCi=a?!Uht4G0e8xT6L4e?@QtpZ+V*Ffd-4ov9l5V#t(yFyNe5=N
zANpVzyRJEUK)Zp;&>|WVw?D`UQ^YjE|AH39rU_iiXRZ;*edVx6{JHBfE$q^McU5kF
zqPum6t6R140Pic2r*L(F>S*!+^yVX+r!Yg3$WzQazfMQ(U*(?JnNiW^Zu4G>%)>(7
zVp6Hevr(Z3$-Zd4=E)QCAPo|<aeH~;khSB0fuHarWC2K4MjEAQadWw^0Fn&Jz7n4(
zlBG``B+J?DWiEGA>0|D@l-;1q2DIDbK$g2Q4Z*o@Q`XM^nTK~XV$TH@xi({kGFPrs
z{>Ny86EPLx?On3e|F5r8e!mn$ew?dBNZyClSUA_ZG`UaLDStM|uxH}xQ&1=t+kPWV
zz>RG=0SC6lH~qo3zp`qwV5WvgW(C_mOl4>hbz@s54Konwvq{1Z5!-&!Rjt+*@hwh)
zxfIUCwuP@5_F&w?^+{MjN0aN0HI=}UqSoBVt}Dz}H0C`NSPr2O3-h|VMkxTf9eR0|
zFmE|FUP;(H4`Vh3hkwr<Ko;`NcQrD{z4;1B^(JSbY7depM{Br1y?0`3*s=Df^THv0
z(@?LF1E5|Rca*Nhq28wfNrrl#j!zWz(kCD4W$gBXdasa|)QsY4`w~4)5q_JjH>&Mn
zdgKo*Y#c`9I?6wVbN7ec>RqaIAwN7e-L3Y#gwbTno4(~4>;Q7~&63*$>{W@5_b}hL
z%KBNV9QCN3puUCkb1hjmdFPhPIw15d7hdu76HeZ`1xS*Pkw@4vS*^gle06lJU1^Tj
z%y**C=&yR8P3;?*XpO_tOuRS&rt*6ljaYJEFiY(hlNquyPLht;^Lx*ejpZE}wTA2#
zt5nYci*gwqe30qTWRU;`2;^07lIJ4V6oo4BtlFTiv1qk7hzYVauvpf5V=CC4(GtjF
zM!6<Jpwd|igOSFE-WONw&r8LpQLw=~#vKKH6KY!c5EVf9kP4&vNDCj!rH`Gd>hP7E
zw-7?cCx8zYLH-?|Xau28o(RItujmZmrN)i#8+(i%a`pRpJ-H^GCvV`GTW8{?cZV2_
zc-8X#U^xo>kNJ^6v^&`yn1}W1(vyF9C^Gdy`nvoTdKuxN%pXnX^lfefV%pnu&*A9z
zby;>^b&Q=|nEhF_-%3HbQX`&B!>^!FY^Gu95U81dnVmb+zzH}q4fsZ{uJ|n4VPVGd
z4_EU=|HlFO)KI{kX<*VYy|?bFMQp}Q!^5;|OjB`vi<t&xB;*$;Rs<Dhrh#oP^rQ`3
zI}gw9S*SfP_1@+Ztk#>>nBFA>C2I0z5X>xrnWG|ns~FDn4x-rLL2d$WY;cBHe3Klr
zvjQt0G4#PDXJRuSEQ*9bE8SYD)r3X3ovY>2+St#flO|VVXAhEkbf1e+@mHv}(Z)>j
z!YNbGdQ5{gqU``{q{^z^(qK(sRntvCl3|+X;uFO*^vQ#12xGUGQSl|(CGdSiHRtw*
zYQ#=MSmfus_u)-*Y2fI<G+GnrfG7ZDp5!w&Sx0%(rmL^1w0FbN>Tq#5-CyX$F$1bE
z1&YyslIB52@UIQpMi|4qT9!@bTSutt7FHTkWdc*DhB)4q&HXhCH*FG9#z#}S?~)R7
zftTP8o3}wxfG}!r-cr{2f|&TzB>1mEf*!QQNom`({O6K<I!wTgmN)?iTEaIzv;<1d
z8tcfF;5)PB-?M7+BaF!8{vxCioh$hkkWYmOH(FxSFoS{%0U=s?i>q2K@(5&wXi1qP
zc{2*54`^xSX0v<p3$<sov>aGS2{tVOvFgVq1SM+nN)XH}p`{}-9k|3wta~WDn8BWk
zIM{7?C!B$RdynXj54InvK8e5VD^;(>odRq-5_1v~GvzHNZHjEgt{)`FM{9t<PPbCs
zqm3Kpg+u+PVJ9IAz)n(uRo}&7r>6i(hMmsCCyJfulMg#Fb^$w?lyrmCSQNKo1B>!5
zakC)5%xeifP0E$Ax?FO2h2)Sv*&M<(_Pt)@we8GWrLB$xgxiGK*=TUBQ(QJ2rZt`z
zhvIBXCTN4UXhZDK!k7E)ipqN`*N!%-&E4IaypHO`<Bl6DO;jf<(~a&Z&HvMb-Y}bd
z+4l3dUv$Ox4MSil6V|&O+s=aDCmWDatTsnGu=@wjZ<vH-P<Y1`)F|In(aO55wyd=T
z<?5Z$4tr4@t#n5@TO*~hR;vN!&#5#zaMP9nCpOXmR<5Z;_)@AD^7MT1r?fi?%BDau
zbb0yRuJHeuf^W!D$?N74F19<A-+*?b8VAN{m_R<qM1F3{^f^*GE+|&6-BNq0kzN*(
zy}^(yxe=?OSY9n{KQP@wcBDu8g~`*)GI$EzoU3|U<4M8V56ok$;YOoS_*!>k_;(5-
z52){ivgkjV!oM>pd=FH90~Cr)EWR^Lzzvl-0S8pZH@Z{Mh6Xv0jsJJ6Cck@$h06A^
z@wK06*BNg|WPsZwKSqUTQFCMDuoxh*6nhcF_kwK=j=(Z`FwTo#ycL3y&^q>qsc*jt
zb5h`p1IC~UKXlw8To?`{UQ1=Kt^Qjd4xcI8T4{VQ8fyJ&ws`fhsj*Q#e*hGUwXk(z
z0&WZA1RNHIZ+sS(?~u%`R!vsRwc$&wg&}=?FzU9jEmU|GHMfO@#gN0ob_ClRw6IJb
z3=3N>v7OL9?H5z?#=<-mur<bNL0envhN3AOTQ0woEmXglEqr#cg`Vhj4OI{QEKh%;
z=jJd0w{39(4%@;v{jse#ST$MNK5Mr1S}Ht?n%lO*V#r}z9}KoNXj_>)7`C-!1CEV^
z*73hgjr(+%mjX7$SS)B$kCTHnYZ#ZZs+Go<qK($CW?O$4Y^%q*zDpG(&bodbCg8R%
zPQYPZ_{L*hOX&EPwK|<h<!{Z_AF#!&&C>b&7RIS$$FF5TIh8DO+gMl_Ic%&PY;DlS
zGI=m;Y=MM_@MKDSB+Nqr+hVL0w5`LW#W)fnDf?QJ`dZkS<Bi$woxyf{?Cc_{Byo0D
z2@`PJ87JVdGkoK*Gr0iNKK};RgVJ|q%dfF&>e<Fpi#yy1u|tJtQFB{ZSPVHVY$n*&
zpoL}fU|86q4J8@F=(8#FH-`BrU}cQGf>!o~n1o`=+Sa;D36t}^HYM@lpd>tY_W`Op
zadvlqn1I{vI01*<;Tw<LEynaKYkfMrv6p7sziZWH*+Ty4#)xDGw{KGUS>)WN7nVd0
z)7$SjQ*b8rpy_4uV3^(#n*J7A$p110e^8j00_Mk9ENFf`PVFBXZq3jloM_aP2`7;b
zhaVvqvjK|cpV~h;NYG=moK)1*{<&cSZky!<95#z@JT^<G);){%=sQz!uC!`0l~@;Y
zY&ON7+IPpwrvcqaG|I$~M-#KZ#W{UfmS2@5yCJLB&*|*iQgR!f1Nd^x7P37Ge0G7(
z=hk@&6CBWM;WIIT19Mh%Gm%=^_f%X91?!YX=xo=>RdF*mY5`SMt_Qq|2f($-GG3>G
z&gv(SRAMQKf?>&-{bGaMt+krG8Y!}go{{1WRL!ANf45o9Fm=65?g0+i35NSm?c3~_
zWJW*pR`>`+@+z19YAz{R3Wp%V4yhUPajbPY{cBI9-kc$KLQ!=ZPr_%j6UV8Eup+HF
zb2B?W@+DA;9UqAbMDE90dl3zrI9NC5r!%Q>paN#BB7oES){*zZcYMd?&G<+ce`qJB
zoVs&*j7<_7mt826C{4mVzS>TOo7=`=nx9VS%Y`33)*>A+`4I95mjiNE#gYV5FLfV`
zod)fkAD!mxfn&~V*1PpeqkdhLF1fL%ciAx~Qq-}ZE1BNUWO`p-nUZ_4#QO6WL5C>L
z9mnQoAE24*)ZB08VN@KW`86!GPJ|CI4f1g6c;DLc<bbj1Mg!Kk(xd)wov~xe@?<%_
z8LfA#duHs{n$?`BrhZFhn2w}p?p|2Aw!UY24>J$8galW<R7#!7o~cHa^`L#quBu3&
zS^pgJpP~h$A0lhINp#r!l-=J$bpQ-qr|jY@15H_j9rKi3H6aYihxEPS2On=%7BpsY
z#_oYoD20afXrjfBTxaYa0u=|vLnn`=Y*J_JrbOd8W7qLrDN{qF(I(m7f>qiy6jsCK
zYiTz*NdBAldAJ9Djh#P8{*!)6egprQW}?}_gfUH9D)ZgX<?+^ZW1=)x1^w?1QG*yN
zRlDQE8>yk3532|<s?eoWu(D}t3ZqK51`DI=9qI#lwd@Oq$;{KKt(jmBjI3X!G%41(
zAX*KB>LIM>DO5q7)`PF&t!F6{nlOLyr^$T9sxsVz{G94%QWpK68W^k$AG;72y(G{&
zr+OT|4GM|c5R;JUD)2yW-dX9hz4sMqB=3iygIb~Mqo8m8Xo~xmBAmP!3dOoCl1JQ0
zad8jHwSRc$y4lD(iZn7t+=~$)3Nf=kOv>*rLiruDCEoYWj(G1Y(#R<Bq9>K&rGJ>>
z{aO*qUzsiOextB>A@*`#k&42<D$+zQT*w~T2j}A(!()4by5qYod83)^t0Z?(h{`qx
z*&+YzjE+S_m?PvrL#`3&U$}=V{h>a`GL<7wFuTzo`hw9*g!uJPod+P}D??#|@khjT
zuFc|4sR<OHoMct$XC8ZuhxijIi~dgwhxn7B;-HXdh-VVY5#lc@(n#J9K@pqLoD16g
z(G>SpML4-~w!}SFT->1$e{GRQ#)vyJ#NS+m@{49myf2*{@!npfkx}B!3i0nMLiz2p
zCEoWG6)*V>240rcP6g$Ai?oqT*Ae6Kjp4FAG2ZdrvDq<Rg)r%6l3c|gw%e4mWBXu6
zkLHW*e{mk9(B<+PT<BIR)Ad|*)DFY+b_+6Gm2S1vn(j_b)9Zrhwk8<qcdx0!^<=zo
zb)r;hP7E|#&CTi;928W>@gCoy(%wpAx++WUg3VCJUpZX5q6SsquEX)^b{p<O8Bm1<
zneo=1Y6osaYh$jo!oD^+rd1CC{e1(C>SVXIx7y|jxDuosI@4pF>a(Vya{gndbWOd{
zz*L3F?R2wSZwzS6Xl-N6K&oP_+Gt%vId<?sv8$Etvz7sJ&9{D)3PfSSe_LwnkM+TD
zEilc0QH^n?E%23LAi;pEuk-^;V(b1))>mvbEA+FjA)4h-XjVqitDxebh$y0w@=3X)
zlz2S;!|~m1bJliLN+6lTOoDGrNp*R$x?Arys-t+d8hDHGs+O=%R$paUB%9X-tq+>o
z)?E5}Jbvw9Y;AH4^KXy16Vf{KQDea&5pn`ZN~DmB^~^ba>Y1giXEZ^HUmSdAhu??$
z8h(@WrOt|luylw`qc7hJ3?Xc~1K}0UEy4htin{}BuBqdkY;r7+<q^p7#&qS4=ne?F
zSP_M4P@QLFjj!UPkXi@pT=)81tFovFbR%WX|7qbd_4A?Ppm=BmlCnufpp<Al5y<h~
zak=$J_J5MUEEto`L$)zhGsK<`%O(}~%GFXCS8!63!UHYZ)3AwN?6dE{0m~&dAv-kC
z0{qv$rrxRIi)OXbuENO|Qj#u!=UWiV?acRD3Y$W{_eE=MP@9CYy_X8s3Hk6<ys>GE
zU)LtC#jc;Ws`J~B2Kery?D;<}Y;K>0ih}~8<|d_+GPjg)Jm%*3?u?#wOKL>YdtG3T
zHjmln_^ym@Ntt7?O7bw9RQ?&ARQ7i^*2*sr#T6YHE1bxK><-nhMAZ64_NiFNB32gF
zik{7TL9N=DDo3AQ=U&xQl4tUs61S$$u4WjyFb_YGYjtE3uM*%3ybE1ASrtDdhdV2T
zW^F#Lq#gIBP83-|7mG2r<=mqAqf}k$%!W=hU5vl)#RhUbU8F2aCAZJz(?z)ats^=X
zvtD6&E%t{glv8B$+{c52j^a?FAtP7~rLB(QSXkz>X1-Igg_v={udA*ek3791*ff1j
zitgC;+Zdw`@xoP2+Nlq64KbeluoGAar4YCT#35cTAt+}?j)L0yx$2p+N*6vShd8ZI
z9NaZOG@q_UJ(_oV=2GqTXH`4naEApTss^M2D`O4)j4?T@o%NZtCUPTE9wgUu287S^
zdl`r@biwGna4S@}`=oHSl~<>n*TexJMh#p`1zFk7@W4eZEvx^?mhZMYUAe}cj|~A2
z_Ed-Jf|s!_cxm1)Ah%!%w!T!gvC#Tbc_BN;+4676C5=UI$it#oS^7FGw2u4Q^TDyW
zR+g&G2-+FZ0Fr48l}zxzL0{jIhZB13`rS|><kU3egd9gAr`sZG<;Y2NkuWjkA{~nj
z#buSkF-QTXj=tk3*aZ$Keh_$MhwOb7pXecb^vOQLjv=33Pq90XTS^buPNKTg3ZgpB
zLJz?13#rf|nuRQll$uk+&5268UD-FpmR`XA8TDJ~dW!zwoH<lr{)JenIRXb|k9T*$
zvPC$huGziP{&=j?9j}dcU_HA$LGJ_#D9^1n!R5n2ce}dNupoMuqBo?`#`^R(j05~H
zENP|iRh@;lObUu&E%~=JIcoR60=?0Pxn^_-A3OZ8ESvoOoJOKj6c!+yepEV~ca=I-
z?LeCi{)IYEZ83g9e}&k@{xG}ofIka$qi0XzGAIP8#;84shlUBb_at%xjy;L^MprxS
z47CBJ;jG2hTpLJ0|HPET7OP%Uons)jxt`Y`rSB{zA(VYA6|6<uy}_7?$R9AokOYqo
zTSTkXjt<LoPbo!ON*9*HLGH{ch(ApsUJ@3fyCK^db5Y84RhWQVnK%K5GT|GKGOba{
z#C<UrNgk!zYt?UctY_<mK5pxWQni_Y9qq?AM*Fo+xL$Pig6q}P4)y#mvr1X5a(6<Q
z32-K9xmrMvq0KPu2#NMQ5@s#23@@nK4#_i}j6MVLgTZD84*>{kKOk@85P%TUrXBF<
zFee3$0ALJS^3*yq=*W&W_Pc~pRLZBVGztrSw|+G}+z*4z_k_#uLZR4j`RgzNw{dX-
z4n4y+hJ`C=aEKFedcE9Y{M_;c2RzZN-SPxlC;IYImVaYJqQm7fpl=Fxm*~X>yDVPU
zhk11imJ>+(CdYX|Ltz5>g^@ZBC<q-=vcSzLJX)vsshl2WHm@|&8x$`L6DS}Jq|t+B
zuz?O>zy()YnsHT_)u1dKCWjqim|Rp)ZCj-*Q!2tlbWnXkn07>8^&C{0_F6%}9aO{4
z4gy;2!NRu(n;i_QnLOkRs_zbSQXr@@1}%AN9T^O&k8x!icwkWRV?cc+{EYsS88<%_
zY@sJ^ei90q?%jXb>4RYcZu{W`97c?93?o+URy(sDVIl1ZAGT_;3|s4y$QViKM?1oY
zs0=NlZo>*oBZpzFJjoQENj+#-nLHSVwQ%bRLiO;`RJp^$Tof=W##|nw%KjE-3{^Ue
zEJVD9$tH8ga9h99d})<kE~~cWcUn+>1u`NUrD*jX0VYfr;752DhZ%Oe08St+mnAfx
zYRP0YOd`KAb1JhUk9L^ZobvFe&Tb0R$uAV0RB_1!@$ao+p8F=7+rxAoE!hAD=0k%N
z8h%fh<Dg_5ffVh_2&7SH_!CwsGlJBLFyTbQx~7@Y<AE>-k5<P8mHMY)o`X_LJ3v?Z
z?RQ}c5mM=Sq>zdTL6NL@lBs@q6e&(5j}KFLR74Um@6BO$LpqWPX2jwj7oJgt$xmVS
zZ<ZGSJkB>mE7t#TfJN7U{EW{+0@w<lh4{F0*nMLqI^u!7a&W90&a26#HU1BzQz6??
z@Pp)nu>3W35sPZ(%M2-%>3O_)Ak#0U&I&8{`B1Y;9$AW|C(pz}>x3QvxO6N%A-{x`
zaAG|tq`h&5JbY-=8K@7Xa&vmm)IPBYfG&u?055g~ePIU@!AVT5(s;Xy`#r0B#;Ow&
za7t4L*AubfwRs>@=H%`5(E`xdY@Z9I)ESSs#)ThVb}hVsFzGtH3||>x+;WcQaRn<4
zIS8m>{VGj^&MUmqB49ac(=NnG4Sz`)_J696sB;}?b}LjI6d7ISF6EV4=AIIlXPLX>
zyK=O~NC77CWxxa3G?iy|tU02~q^2{(j4H%WJ89ET!?toVn@V<B3x9(LnN=&}HCPIR
z3-ZRrE@zjKh?(f%#Pq$umae{jl?nE`FqBWwRyqv@U+I+WdCi^;<(n1(e^anq_>m@G
zqYV2$)eVKb5k8JRwd~vQZBS&?P^7$4hLRGO$50&K9iF8u%04nb1+%azWShmuGK8Ab
zES_r2MwZH#HS4YBF1At&=iaWQ@dQrx>+sbZ7)xL?RUK@lIo_Ip9gL8DtnP-x09<xr
zO>1&<v3`{zqdxhuC!4zL*PoyY2&*|5s`G>wd=+msOQ>i>SmA$}tPfcg`dQbkWFuwJ
z|7l?>8HS33BBEBp<YPJrn8p+Xb$dedtRhY1eGrV^nQH(pD?<5_z6m!qgd|rKmTz$I
zxTi=vqa;k{(s{?aCf08(LiyQ!ldw4}Pi`tK-oQZguZuL13m5WC_GxqY#_%AXK;roB
z=s2G$9ZV8g0D_85Ejy?jn9+$jgUX1Sq*I3~Z=Z&tN1KjH=qbt_2psgp75cFl-MWH^
zKEcP;SN}<hh=z}Uv%19ZScAS%gpYrvl5v7Ad}VZg(7&k(Jm=BMU$H9lv#o`WFHz?F
zpB4@sUxkW;;-R5K$|hwODbaZB!tvcPk$NI~J&7#=mSNM&wv2zt5OK;ff>nymv#kga
z$2ZSn<{)wl$S(S6cDiFtyV{*@H(6q7R9~yT=91JKDQ9Y3hmV*#@7FyP%s1Ii-NUfZ
zI`VX24>k$e$&X}c8{LLb8gDhbaESz-AkELdpw0qM(^vk40Ta1Nhit*R+3MhY^~iRy
zDhA2%d76eB&qRX`0L9u2g(LU$pfsX7)F6O;i_QizM_+ZMxW1+RmK@l|qn;hzd*CJZ
z3n>NKyBFpWf#}_*Vj;<Es&|(l>fkH5RkvM<g;=-o4<sjqz8fT?d6?1rV+HibE+`z?
zAIN{c{-6Y8e}oO5Z@Cf~%3NEnM5<UO4%1t%*swXU<?4;VC);xMVrVDZaz&qJXUo;a
zyWvU(y0N^6O;_v|6S?(@W;tO`%w)Y$Z4cA&DvUOV(Ql3Ntuo*<hEqv+$%=RLRdUx{
z+6SbrF=~xhJDpa0SZe{@3Url~9j>YE{}=k3U#9XLZC3WcHZI5r(;Zys2zI3?iXC7K
zh1GgEEa3KN>lKT_@UVc_%Tn{LYt&A*<yx;X52yViy&Uzo?~u*Se|Ufr6?r>WW9=1N
zZFM?}n`#r6^L<(0*Q6?7Wnmwa_LJF=PXrs{S!nlBC}gg(@h`OdLYRPi0+ADNtPj99
z26WdJ+JS|z23v3*#sH4>*FUjp@&h6rj0ZN`<XeCJ11dv{sC%IulZHQ92|L8CTOV>&
ztIdXpZ*d)&OA*a=Wb31xO<LTGv7EIQ>flq%p0k>+@fay@MkIQ{&uXA=Dy=_Pc1)O8
zx6*O~X=$uUd235FCx*%87mb5r4|4J^{y8_ycu-Cb<3<S@#vQfz=V?|cOR<VD0eX_|
zM%MzDtHZP-dM=fn<OdYw?5|AkAQoG=j9wKcuLl1yON%WY?*}?!xy5|K4s`v(Yj_ZG
zt_jhO3OVN7D$GkZDjm8QB;^lEtuay^@5%)tv7gIWPW}oNage+sS|4GQPlsN&VGGvN
z#=MLd&KiEbhFvx(+75#piDQ%|;pA}kxe|8)NjAuN6F$*%CFql9kV6=|Fq|rUXxI)!
zc~fu>HVji>G}6OpM~-vO#t}`yagO4|JJ?|mvlbXbT;Mb<Rdty@(i`_iN_e{-o*W^D
z4E%%%I=GM%4dt4`#j8w-2~cVOER~TW<c|b3F?`;`zsR!5Tj%~bPl<WP#_~r+$lb>G
z(Pa$GuLz0m8PI+*yXFBYUf1BogZaMzg-rP5$NWDC6L3dlPQU>R@Qncr6y`tBR%Y7z
zvMYMymlp2&qgAnm93rB(IrEh)rbMDc_is}&^+VFte{KrF;?*rvP9TkC9OI#NVFLMu
zk#9VdmW3a79v5acC<}*vA!$RuqG0Ef`_Du)?7TEgJEE_8hMlax%y=Jm9S+Gen~&as
z`K(~GgB!)d-UZ;Bu~95@NyGEQoD|qB#u&8Zsdc0nxZ@!Iv(#@`9>DP}4)RqjC7(e(
zPj41u3kqmXKkX=7s}1f5Hom}4FGeKVZT>CL4`Ea;Dly`5NkGY&+yhdXr4dj1WLFDG
zAqbxU{LFfWg7EiqXXG4Fl(iwnllY8Zh0VdinqdV*N|Wu@9y&$82NrrYO1tZO;aZmp
zg?@67QM>{PC&(vJ6<{%3v_|k@$GpRJv~NDfn+bh0`>WNznn$K$O78(IB=rfb#Iagk
z)1fmJMl6*PyU;a*_<$3*nm)nOL6~}O*Q<N0mTob1vhLW?v8Pz~p-5RM?BVE!>I)k_
z0;Qa*(jS5s5J+9C((#oM=q-O|uBBsOj<e7Hkcv--I7?17tMfZ#oKojYYZpSHkn_@$
zpSjkcFN2DM0-`HFq;yg%KT^W+to(3%H=I*rq!^RDCBfI&^pz|3tw;Yc)rfHK@HHD~
zKT%W4gXD|!)9g8Yc@8SqB>A_L0#&9naw!vEpK&S{iZ}OzaCmQ8wiqqCUP%TM*IVd{
zi}UbIw+3v75+UtJL*ZS4ZOhdaK}8^ZI$yZ(T+{g?CQDH}rt=>U>?VQfe0<L`UC+iR
zn(3lXo=g`{`V5;B$2H%H;>j|&PYwKYX9m)4wOz^OjaFr16k)*VM7?u$4_Pjjwd^_9
zW%A?Ab<K5PU^gRccK@nWX3ngkJW+2?Rk}4bzaN)N+|lMs4S2$%hY9~zfj;U{(eEh5
z7z8K$Unxt?%P!Nhn`Vayhq%i6Svo`Nt^Z!O-jzZNXE&AP$emb?HUGat*9gXqn*2|{
z)U$xgcu~;?`M1gZ`-9AT2J!y{g<|u6p9~Xl=Vv$pN0tEJ=nAT>b)Y#W&(PJ8<NAhG
zlV8<!7}mEr{|BiIEu!u@e<lroNE4=r>40~+s`aD;T*_z8`EM!WfE)?e-1V4By6iNw
z(=DlK&5P`+-26o6BNhRxAy8xGBV1jeI-0x`dh-#>M_5jd=OgBwN2jCnzvRa4%$#V0
z-r)-X8nIg&_##BuK1vfN6`m-;fLv-dA+gfATBb|#7L)2shEbIV$xyUL^CSs*8McVc
z&2Hp{Lwbhbna|A%SpZ^{F-GZF+}!M$K$0QWv+#)`R{G>Yteo9m=4PL!^s!MNYggL)
z`UhN}66e<fc#X5<$F6Um+mn?k;qv*)z{GMbTO4I`d1{=LQ!5~Phq2F$HZKu75yn1U
zmP+Pn?<pj^#?irS9joJwbWaq|?vY~1k7tz#Ndv2~@a%G_A2yh^-snhnF%}Xqmi=Ke
z{QMxp9t`^&C=`ofUl}Ig#;}}#1H<B*{$SX<teScTM)~Gx@1!!ch`KQ>lZF{~^w}X{
zhlpXH?W$G-dE#4~(sC)BiD6Ib#S1yGY~lJ$rTuKbyRI-_(b)D=as49Z+FV_u6o6a`
zwapT?Ju*8|$yJ8)(9=_ddj;2@EQCAcMYz}0yEVRfm!lbpZ}SzBicS6-nHnU&=Ddl-
zs^uXxQx@p<axB5n?SIOK1&axEE93y^Rz@79WpU_s#pwdwuEZybZt0T`-7<E2LAMvn
z;l?Q4%~y`|Qnq5lMaYop9h>e}H_jwQmmZp|cp)v%LI)6HdXC$!8X$<Vn$YncX6sg2
zKT8Fp_~aPqBRzbYY7)-39VyEu|2UTby4|nCmIN4(Qi)xe>nh{q=19q!M*TC{Ox|hM
z<feNU%&Ar>Q?Popj!d)ULlek!Xp%>SeT3?&AIXWxHN}}qJgYWLwX0Hu8w7Y<1It^j
zH>PS`9xZ_^W|Rve>!8wE3UrwUCz3exOxbCKJDhihJHq)UzqG`Mr~pEPR1(!MT4-1<
zz35C;S95aSLI?-@fDe}YxDKCabf8b3=)g^`=xp8gPGxU(wA<=+u1?O<omnij4C{P&
zgF^C_x#UJusRXMLSu=E7Q+`+%LVA7<PuSww3N`dzp_dV^$NbUsIx}3+-Eb)!&|V?S
z&cmKiw`8a1va}oL(l7P&fSlM8YbwOVmnr0bl!9_)H9SdzyP!~PlHh$|0`4RMC*VjD
z;2Ry~6rbq&j8)Sk9M<onGPH=glLSl}ri<47u?V`DB)HR6tv0d{-(r$L840-qg@JCs
zOcH2|eA7_Lwb}2tJqxwxRoB0YlYkhGyM&-bO>TkOW(lRN3wl*C66ak*L;uUTblsu<
z46zO-Ic6usN_+YS)+bhAy`p2<CiZjbImr4mKwSpOVfYW6+v4`nx{8VcZGtUe1KLA*
z;mGM4(RM&BQdw0$X{aTzz-TLwWRT@Ve4>zrK6xMuVeIxYpuM0Yw$k-w8{M{|pha@w
zhb(WJ<B&ybLKa{-A#GZ+ba~UJtFNiFcf(E6+nW36mOdw58BjeZ(2D+(GzL2O-X64s
zFjjf0ESt=?E>K8ir6E-&FtsMf@wRMkX<4{wlaMk#n$oRG3AsQ@a8pYKiUL$o+u@e7
z&KJbQpC-Xhke~+@aZ=jODF61q=Y|QmQ4uHLKt=dQcf?wI7lD$q#-<}UeP_1()mBXw
zK+%vyY_bFCN9WRS1@ftY;6_DE8fFO4LykZ?h>EUsRjai{e2b_^nIm}y3ZoCG=wEvl
zYR{<XgK-iNsK_M*C2DdO)HX|~XfWWqB_?7WLow00T(()5Xm}?aF92sd>svPJllaTN
zQuSKg&cSv7G4~)-{&|Z@Ya%~D#s<mvIDhdN=^QM<Fw(bW<NS80Wp;!t03%7&RlOF6
zk^TTA8AkdeK2eNBpL`gJu?rZ<q@<go#$tW5@KoeRd_?Oq3zkXwcvvUCgf6OfC7$p#
z<8b*l!6ALJIjpS^LN9z0!c$Ni&t_+V@6d9mC3fx@p7I)n$Y2`c)Tj^XNpB8<CTxS2
zX|OwV?7=TR4JgwC&f#deQ8=nMe97}rX;0<a(MGko8`ogNf#{Gf{<GtbJ8q~nQJt(z
zH@c(r*gCpA8#Bq5Z9jkeMOSR!Fa)MHVZGb2?JW3xl3o5X+L>z9yCd*ttAdq6jq*(u
z_d<1BZCPsx%GEog9rmI+TImAkl&z7{SgX~5^5;|<9hmUJghyFB-fbyco-ZRl|5I8j
z1#m}#D(N!y+nb0Lm~US%OC@*CCG_m+biSDBMm123(@7z^V<JB{MSHvyk_)|+Yq!*1
zYNVHifNwAaOpe29DDYP~#m9OZ$`<u_-<uqsp26YkYOi;4_;MeI3Ku`{f2*BwGgBCU
zQ+!K#Sp~{h=w*ernLnC6c3H5;JOKS-C={Ev91jz419VQn0nqV{?p`#2-iJ%$_gS_3
zomV7iPwzIb{VdskYTpP8%G)uW^JP%}>6AqMr*kA>CfyR{1RO&bJju}1iPwY)XmCGL
z3aNS8NFfAoK)5^1WnM9)Z%6(>m_PwBAPs#47b%9oO$DD0^B5F@!@5vQ4C~Uy;MWUx
zvfz44U%q9PvaF^E6X0Fas_M#<|7VzXL?^|J2tyrZg6^=#bcmd}Ix~l};8ZE=Q!QDq
zezMs^rmTY*oUl`cVPC#uNsb6}Qs7t;#-Jrntp^33!9>J`(C?rmDr&BEW9w9e98lj0
zA?rVxo^T}CMo(Wq5emgd$ESn|xJ`!>a3~YLG3-|%19h`R+OX(5v*pjUYBKdqACtz$
zfH>#(bSgZHnmcb576a&WX_2}qF$vhzvx997+EgYFrcL2!PiWm@`iCj?mxVbgU{j32
zf;P22JT6Vy)=J}h(NODGv&C-=w%B7~cTgp%X~D^#AbwAnfZM`20f&X*8=r;cI}`d|
zt0qh5HNO{YVMsq4UVMTI&!XnGu&@|%SlADPZ4FvjCJ%;%Etg3Xp?%sfrsn-F%u@kd
zW2_dmwYBaXPs+xY%kN|h)h}iX4?5G-)u=vS1%+axS1C-uZCjjx!?y5Ee{AcCR!vsR
zXU(=wpu)4Lxos;fh8(uFGuYOkZDsOc*w&H_m~<3c$Nw@lt{Ud0fK4$L3)<A<WERxQ
zkEX0@rSYX`qxGxV)*FLu^+c}gsDi{rt|UyrZC#vz!@BT|$GVo##4&4i8XfYtX6x^;
zYO{1czlCus+41XdsR%84ZW{{=BZrNBIM~{tjb-v+*w_LI58=s__~*hr6tFGET0z@7
zOj?X%h9PBNYf@he8*{ud+x?SZyFGUH1F9r(cJ|va0k@rT0uDRFHy%5ayDA*X4f@V(
z`Kq(bnk=2qZ)1^pxB;LWxpp8dh8z}lY_P3C3(Mreu&_lNN-~DgXO#J?7VNiRKm6Yf
zFyXa?&SRY#W~hL<F+K~L+Y@4@>{4d8)?G^2p6|7(hL;B=;W5BVs1C&$;6#{!+W<KM
zhXLXnj{z>m2~O7fbev-^&9+}>)zz~JG9uYgZZDOeMa~`N!ji~ggRc%YHfV#HJQy~(
zgibIEE#!Zhf`4<EmjdR;Sj=O7+27(aCpC4gW>!^6awsG!`?<oWwv^lkzKU$a1Smh!
zm(A$XRXl_6Gb%rH`)lDdF+mM3jZWsPrOoHyUKUuo$!4NPu8NzH#%W@G`Nmb;<*ZGX
z@%j{MQ9pr{K5g}<ih#-K{a}IIt+keX1*x%_>n9d#m}&-%24A(<Hx08)?g8rT1XY;a
z+w53zgDZF53Lk+ez6^Dx!mA$4m$s{u6Rq(X@^P$nIsI!7+<7`fz7Iu{W$**N^GYo3
zNe+Nts@K98XT08>xtV?d3v-(@H<SCI268WyV#n8_(vbVH)}mrz6PD}d%PI|O6R3Ok
z;wU|Xjcvl4TK^lq<Lkxl!$)dH+F?%Hc21A6H7{^rv26*ZNjTX_?Fz;FX~)4>N_0ZL
z%Fck2i{biElXRD4zq6@Y{fV<ImTH+Q>S*u0>O*ITY(B49@75~~y!;neBzhLHu*;C7
z@N<?@f?mx8y%PV?R*hu}nykPQ>(5^V#;@ApIMzG+fZu@~@-iV2KJ}j@uheNBk%v)n
zs`q*<w2p_e)HTd3j*wp-mkKT9H>uw=)7hf0ODVxd$8mQ2H#HI1P=kx%#3!&yZi<B!
za`iGrCoz|?aQANhXtw{)quZ~aWo>#(^xFiufUbKIR0o++*J0oIN>>RL-MGM>uQx=y
z1YvFBy7b^;tGb|uiNn6PQ}+Cy>VYKJVc$EU;-G-&3Kl7y)M4K#;dl=Fc6|3ZuYSm$
zPW<2SKGQo!0W)00n|6wW<j*q1hzjv*P<5#M1o~-M@lRCK&80GEIX(3L!pgPvJ=1$w
zfN0S5ptu0G!f!NZp2|MvUR5M5U;9bQgIfMAz?t4`zg7f0R%rf<XhWTvkFRt}Va->Q
z&~QyEP6(T9zrm`^&o=e~Kji*(lsW&Wy55sX_}B%PD4sGeSR%K>w?Xkxy_d2{>3vEx
z9=&&bSIX27DYzv2TToS-Mz$S1KSQiJ?O?)~8ZMP#t`Z?qdAv2<m?(`^F#-%xgBU7R
zyW_(fsiB+?dkPR&(RI<dz<LS`b!)K7x!$26pI6Jia77Jk_L+wb>sKjFYCT_urt3QG
z*R7y>2<!Pgm88>p@Rd#}Y&}bv(1iJmKTYNzva0kmui4O#DU1G33)|4oq2i#Bs0}d*
znKxoAER{t=@zHGL;&V*7`8n4b$@{@d{Fqc%==vz=n?IVI98!dngP>4w1gMYsCP9R;
zF6*&SaY1npl|*xK)uq|U%|#j+Bksi*-vwRvhe`RgB9u>=E%BZ)JL0{(NF$@fi=I@9
zm;PajcXtuW6SF1WdQtI`-@r~L?%7je_&G(|$fXO}<&Bmt;2Xnbd!oAIyDfRcne412
zcTtG>HV4@;|FaokAZN^fhFqA^zjzN-`eS{LwJ~pv){3A%6*2xz)FzxU9$y&>6AVBi
zsB>)=e@acD0OccAl~LjELzG4Tr-ftu$Drb%kZ6o&5;CK0FvfqSNF#Ya1VwCybCE|d
z0>3HlpA_NbhqEQ_hl-0k6yq13YpSVVQ8Y*uBks%?e{d1X2STA)fl!A)#RauFB;I3-
zG%`xOSuy_4i%>p!w#0i{QSk<2{G~<O$ffIu@%YAY*`65h`0m*37_UN@bTdh=Vi4PH
z%Gt5~A2R$=zS#a3=fNbBT+@TA>q=$1h>Q-~VVvG>L5i!=t(IET-KlAM5ggs53`70y
zHC4DEloy7XkxFx7pxJ6}R=?n=pfcXAwmU<my_LpvRhHTXTbqx+a=3Iw4XVJD|M+yf
z4Y!dEsKSEGcxz9!Q`*yN<J>@neQk0~s~!US`vw{?rPkV8ZSxFV333jd>9J1rS<_HC
z|FKiLrru~^uEOMYy4kHa1~g{0wlQWPS20#?w638XJ9wZF-OBe_YY#=<!YFM))8|H8
zLD0boOmhSE0ZvSVuM7hT23&o4Ay^VyY$$b~BAUOpDvXLgw^9cEpB6?me*+Z<MMM#e
zluv4mkP?r_e>lFoZO+<`Qnq9cGYP)YmMS@6t2T?Y`YOYO*a8Mna?9RK_546C^*kQv
zIrsn~{~vpA0%uoI<&R6qVnPB0G%jtz1BAR_(`<?o*+N(hfe;cRXo#Jc?w54mbiZ!j
zd!0oA5jW81I7)Ct9ruM%6n7mRXMXB9is1a6(f{BN9CR3GoEb-D+~()<m;X7ZmRnW#
zRNcDwy$9*}|NVR<uWxOqzI9I3sdG+M?G@A6qdw;tWA~Vmz#!6tk@?#mjm&&8G6qoU
z3qyDQYWtF$sj1j%+gY!9Rt4MAj+z!*d65UKSTikHO~ILp>uqM4UDT>gPEXWZtaFJ8
z!j%gSlVXd;FQW$_IHRgX=V1blU34%he$h!|ZNb%qC!=h#7e3Ff%)g2l+nxDPs4tt2
z!=U0IJhb3wY%&W@1{%+T!{j@)F#l*EJH^X_Fu6433)4?}D@-*$D7I3?;7}4Nyw0jQ
zQy;9TOLAK94uWxc&)}jdQ1_a9$6IwwXw+-XI^27uk>vC_U#zW^Ghea>o7AK=(Oetk
zCM9g=5I?iRhDq_lX2jJ(L<0rc+JryfsV+*~HWPXNtflq4YoOvFKqPJ&os76;!10J1
zlkfblc}oM^>Ao%yN0-KYaa^4<ESa?}SY`6C2&OnC!uBj*>&6hJoOr(E{&}Q>4Mfx`
zU+Y$pSt@?6^i^jY<--ugo)f%?xf@Miv0vcj6{a5b*oS@fnGQwM9S*#_^1xcyk_W1$
z=Vew`8q-6K(OR=v+dn9*^bla2eydzp!3$#Hf-(F@=1^Y!ysOi8)Y>Cs!z~E)Q&*>*
zaXL)a=T<JMH|li5+1B<9C^%cw_6Ci%w?X4(il6}h3t>PM8l7H-wLlJ_@|@|vwdm1g
z{Hfra7QU+XW4i3Y_fAY;nB~1^>8)Hd7+r0S@uM>Ca>UZhKaO<CkU7%pFXmznHK5`T
zdo=ISBf?#-<~il^HJS?JPPzQ=a0C1)7uf)F$^}!b1v>5PqLk4^j~(j_Ecj*?8;74c
z^~No~foH4Drp$9M6qat>g{4n4;C)y>CSaYm`QtAFBL5m=-Wu~2s@AwQCU=&~Fw%UA
zMQSNlQh(YY9<|OMoT!c*4uzsm-iI6DnMpRlFcYSDm}zOsOmhB~kQ8C6GoAV!Jj}xn
zM(9hgnd)=_Fw=ibvHEXZE#klT>T;))(<^=u!bHIMXL053y&4X;9f4@fy;ngQ6+LkT
zkC)Lf=M^}jc3rUB!6Rz9G+0N}j0ZblM}vBTV?g+$FeN1ps0jicJdJ@2PGrxpLL|e=
zRAx?FVii_XoAcG4;XWAbzGu07FBFQM;XWO1fEO;=03+d;Vo7+qT=wAJ$a|dHoteNG
zM03v?nBTJZMg~RkYZ+ku*GE1Wrj-X)Hjtg07}MH+h8rjjM&{UhF)V_&NInuKwkR6e
znD!-?+KksVYf#*Lv?7(|46)w<9T2XSv}L*yCN+o!BXZcZC2~=V>gl~FB6?B1Fx++o
z=XSlQit%z50e(>pPj&?s)mpII!9_KfhGL6qD@;j=MO6^!;AsqGa8Z2%XLQJ{o{Q34
zYUwmT*)rA%_RzC#-VB9e*Uh(v8{malHoyomrdUFpuAAv$9%fm{PJ|zGYI>9>!aE5=
zr%_(8!e|r_tZxRp92Bfv8Z5z@bH?e4_3)?7a^DYAQ9`H$aYckGKQCUTkXpr(FQXYE
z`(n(RURnFHEW1!w?cn!^Ab#c<!bs)LXeoLf|1GhvX=(CncuUvYGV3rsKLyAJvbfA6
zv#Nv1G2teR2{sZF*-BsVI6X{kK|D-*mMv)KhubL*irG|oWP<wd<}l4Y!=@H)=dr>j
zaJ70nOmPqyW+6rSvKG=PZTQu_CxX?6O-{3!`YmA!9;<;1GWCbUGzW(+I{|XmpFa<`
z5P?e9JB7@O5QOC3Fu^^5<o<9Aj|n6J@%~Ae+z=qS%8Yvajnik+!pVn0$LZzOP~<_O
z+o3wg<oIj#18_pmqHA(Kf+|<k)lnOpQzP|Os{&zFGb8Ppro7&Uj%x3y;}LD?L4|}J
z`{`O13g^D8zNbF1w$ZqJYP3F~4<=sRqw4g$l^lK<^kg7ejQ<q5sAabKVrkeG%3i|0
z<R2jD!MX9P*H_9EfmB~9gN2q$mA+?J%AAiL-Ac7FGdaCqMIBJ|)@AqxA>7a;PRqkJ
z0aKNcW*yHW)F*e;M@NA_Tga+nBX8d^lj|lvI~o8pz-R%KN^ju802y_s3?#sU%-$*E
zwB$O5?4xu`EF9Ek(D|w*gyI*jbQ*BB3C4tNgg|Z}g8f-db-&mxGf;65GK$H14mFR)
zOZQwZrkKJGdFE9fy75-`EIX608qF~pz)pM_n26jq(>1_*3r!BpW{eeO4c|g@mT+2g
z(jrsvmW_ICWDM@%!0=&x0*4b4<@1)Ii|S7e4sq9Oo$>IqOmNhdpuC!T$qEW4StIYL
za9s<^JDmpnT`>gZ?L@FYt0^eSPRJa4$HTiJZxAvP6pdF#P%?0N1ck|WOdhjn7U<+=
z1+j2j$QO%O<bYaGEH1VDo|WpB#`siYD_%}ENFi$5Xgz^zXIe5&1lJOX{2foP^#eO+
zeHR>5<K)C~ph|IZzG}!wYVLy$n!N1ipCAh;srfeH#Yzn(nJtBvmw5z@T2|y=HtGNA
zROlz&kdl8V0{vM_OUX~6;vhsMB?2F7f=Dht3xE-KhaR%kF?-Fu+y>20xY0*B2*Ft?
z_e!`YlxcY>6pBBu0EorTLCc`xQs{Pqo7BNFos5E)0yyNTa{Kvn%Cx+?XYgi>0m*q~
z5l-G>@UQFP-BPBT5@1H>!W3%`@hl}wz7yhRRXxRYA`8H>;<lE*tb8kH7Am-`tWF(*
z>79QYW?=Ktq<x7vh=n));h|y5jNf&Hs&f+9bS6p`Ha}^IXaTt?dW3`Ws}_(Oh{f3j
z1e2`64^D8Yvyi>{?@ye{q9)b@M4Ufs>BZxAs5l4@Egl-1jEa?k#v>O@z7r$)M2~tW
zwggCq+g`q8yfg>mjAR6>)Mq^+<V~IRpse9q)mab9ns4w}+N^`ksv!h#SW6u+`O;09
z6pb@U*FP3w)9;HjDEDKb<;hclJh%iH7Ubk%!%ou~TvI`fvobQ(Xu~DnXg!lhHEFWI
zyN%QNL}+087Wd>QShrACiq)h0C8`)mepaMwbX~UW&|$z>KZe2~MFZJH4k)4#b$CZ3
zh7AlLc)~XMfB_y13ZC6aeqem-9NEO%JelD=a+8~&QJ~R1Y=dY-9f<MIEZ848x{t>~
zn%2zd8j4*yY6DnCjG9Q-bR?8CkSs4kia8pK0j#G$;mFZI>WhsAHjs`+STN<uDrKQm
zxP}Y86>b)RHk3758xA+PbXLW-dA>L$b-;R9K3O*hrtqD>HOZy;>mul9vR?nX41V1L
zgE%%!E10~Nd$~CIQTpK5HM{EVVY(o``=ejto_T!$>=K-&z^J}+e4^eQqHQZ|I*0J<
zu(Y+q#4+Tv`fI|xN5DECJY`D@syyZLt6zBfS!bLAl_srI%vMj?2{u%)^$+i8)*2&Y
zcABDyzM2%lQ|IuMfiT4?B`3ch_?E<l(6^1k(J<8<GJ1efA!C8FYFFi=P$hJS8?{L|
zOa`>kIWn9Zwq_c}b7Ok*P#xQ?%<G-SREHQKeRZb&QA;(=F2m6xtzyy=5QD9{)NC7}
z^gP`{WAMbRXMC|iYUu8Ar?A3j>QbnZNvwwWBt5Ejgfr-3DNWCivFX*ZG~R7dT7fcz
zn4j#9yfWAkPn_S4P$)Le?@i$bc>kqrfC*2)6ib^=`%U53v|KqFK4?r#`1c)7P5xEX
z)XxL4@WsNv-$xiajq-7R0uBFaq~s9a8^4aL)^L%iycovDF=Fzmxv6iivm$D;$-+Gs
z%Q-fwzw0&LqLJu$qi+&2agk|14AaUpt!yBR#?s7e?LhPMaC64+MY1B(Vi!31Bk|{5
zVN0XK&Ow|Q;YI{4;f{(udQ$I+U}KLsd)%sU+Yuv|F{#N@Tm{D~cXm**9-Pppg_A8X
z1bvG2I5t<`QPCc=Nrj-;hHE6_!k#(%nwjyu%!!xOVFNu;gP0UBq-Cas%G8deKGN0^
zC$ZV}lAdftejG?PM6)GsF7QpMtFZ?ws59$j;k>Px+yJS*LnT_BNf`<q$5r8A4{U(y
z(4^P^?ZjWS0is`?4Ui-k73?9U>54t}*fIDt=CLqkIq#-)7QhXO&GCBc01z~`wR1Hp
zd(--rqV9J>dJlA&xf?0B2TJMkZiM6>FtESa9Fn)Rg)03Vo`7hS)fN2jR@iB%?S#Ao
zgEk&${UL?2I+p6phubhJh1314Ih3{-FAK6~SbKh{F59{D;NJ?SFlVl$I6eY*SND%D
zW9<jhhScyZGCtWu^JWb%x3Tf;2i^pQV)p~@3pc>446*@6Wxy0mWk~k}N4m@`nK!GT
z&BdIKPWE}HVn?-!SlR7odOD(!=w<yg8BF~LDZUw|mB&;zkVS*pD?Jcypg0)C_DWeS
z{3_{B!=whWVE7B0w)iVbC4JmRyOhH`Wr&DYNskJ*9Whp2tE6JQY$YH(buh>anNKQ*
z8vD^h&QUWM{IVymQ-a+No?#2mE}+v{XV}CxK$*pv8yD7uDJgM|O%UkdX$+*=)T065
zkAPuAnw!dt27q)eO<s?Do;}BAxCOEkh2s;TrG0y_^Cb?UiAJKQ&1<3ki0-T15QjjD
zbFv3e>C<lL#5nCtZHeRnk%GQY&PnWUqiSq7o+JH)HQ~8~Ek~-4RCYF}CdsisiBayA
zUE_P;s`46XfO-Q`z5*?r$*Ykg29j4sGltxf%sTas#^&X+n=m&0k8;1g2&T#r_+~7$
zT=5eKi{<8(yD04g?5s^y#Yz?RB#Je}AGn1z_z6M|!C?(MtUYyyx7e$EO%+s5rsgNj
zKQya+G`gc^IK<1K6dTR{AxMDrl#6D^Bx}8QradbLPwI4PEnu|BuQ=5?ihwbPqpMcF
z6#2i1JbzZx2v{g~{i{%M5Fm;d(dcC2MKa)c;zgKzLj^fTkAJ6VNtkQg_R|^NwF-#2
zW+3@s4&*pGGB5z;$93_V>l$X2ksh~F*8E711!A7om$m7?H3}pJe}L*t-t=<_(jfi*
zzr#ZD;(ipxcvzCHR4y(_6WHNWVJMEcvH;CsiGtHmP$IN~8$*G8D>M{AMo45BfSSS!
zg#oBFSwqc)0elz8?F6h~m@cefX8{Jn3P!&?R<JI^05*@+C#Ji%dkJ%<wtijEo%IW8
z>cZyb)v9D);U3oBc*!?K^R-gA(M!HTm+HLxU@~5zF1oQ<mk}Be#vq1)JkzPIZ?5<%
z1A^!eE&nt@)pYkb<5AeImqL?l$7&p}_?+r0F%S9dy9#F9*Kl>&j!k0|=PdA`6>yH8
z>w{f0=YMl`Hoe7N@2d9$389HmBA~W590=+Bm#l-@`n0uqnr~}EECciR*yz~u*&zVJ
zAtJ{<cfYmb!g_0@ISwx`)h6IosM?N+x}hQKT~%H-EmX<-u;qc|J(2*mA_W(Ibmz<>
zaNnuHH8!r#T}P+;a4EqPu<$@vYiQ9G;)O2rBc0@)o@%xA%q8Cq0V(dPj&uk<DTd(V
zMTa2y7?xPE{!kddw2#cDuxIMwSBsFS)Wa`hq2+SQ%>?~sc7w*enVBc$yb1mNha!}a
z()VpB5t`c!r4K2NRQmoZqE@N&sUcD#md=#SmLZX@&-J>W>6&F1%y)f0Zj(~_4#8jK
z`lMg|QTnz`Ow~q*(e^VuI^NpdbM>!F=ci4bR}nneZ9{H1NSO(^YIpfoOuM4$=y-Fw
z)*efPLF1Hd9iA#ZU|mFq4gizJ?Ln17hI;Rlbg5Z6a;XY@xIG|hYwUj3%Ll2&C+Xf7
zSBq2Rl2urZqZThVIYLmAMv7(=O}Fp@Syc5w|7{b0evo*NSLbXf6zdS)5N?3?mB|Je
zw-Kh83~B_%lG8ChKy=ip$**<!RDQ<;T+HdYoiKD7<pV?o8urR#Zb_6VqJQW)T(yQB
zQsu>c6vuq_KFW%&_s6=}6Oem^8<e%e_1H}M`d$xJVS1t+RJX+8uXb_V5Tpa0EQQ+o
zw2SkaQk*GJ?dJ~iXdH)X8SC~0$vEuR&e)I)T?T3soqSbSM!`KK<Uy-R&l#@Em8k}J
z+FHByPOoS&&DF`Lkg$Q|6OulqmO9gcA-6aT7|3@tmJoq_cj?Xriz#hZVF8usr6y&y
zxIn(Up-ExF{09CaZI*s{v{^}RH-UWH(~+GRhciFT{XJJ|uZUB#@|8GApkJ@O>tM19
zX5v$aGEmE?wt#9o6^%;OKIasNd4|UBRoov+vB{S?wN|2v`vYC7GfM|C)pD0I<1DPc
zOp2bfNZ0*^hM~Bwn?jiU9IJ73-G!PzTt(MOF}2*eSV*b3;t!kPg_~`C(U~fFg=-!Z
ziq&tQ6mEdmZ)F3Fev2u+(Qi+7YI1sRtSx=fZ&wk9PNN~X?X}3K-yXtMYxG6QEb6x$
z!`b@nv%8sv7(KUieKylRzt=-onyzTQcT?QBD7}{(nv?;O`(b|Qlis^3dcjh$S+jA%
zC&$J=%E>xU`yKRZzkA2qWAc6&soQAXw^$*~-^umJ+Yp-=&EiV){T{6uB0^3U&NC@X
zJFdb3G+({&q|6ql`MwF76q@g?_=_}O`sLGn1-ad5zSn54$1q(OL64ilw{nN?;e}|3
z-r6zKuCF@K>C%jA6XsQSWdK7!d-QHX-4;MSv5uuM>0o9!-1)4zj&zqhgDe+zU*Dn2
zc0O@1>F~bE%mG5^TB%)Fo64$y+MLzy<)mNGy_G|lb)r)ZHojkRN;zx4u}Jqt;XtB8
zjw7WRpf;ZlXYzTZnpDvgp2Js88_^Ogm43Mtj!QWyHUi&^Mj(%vbb3nO3zhb1EsPaE
zWdoX>tWQhE`{mH^YoRad1UjzFC#nKiL^R8!qhu^13-v_H-39Xq&>_~5$6ck?5&Gp>
zN2CCjJqEd@Rohb^Zcp{d8>qv;E{#*1ebbXkm3R5*eCS}BX)~6HA-fZKKETy6SY$nb
zMmSr#fnRJlE%xsAM|)y=D)5@QtF)))@Y1(Tmz{+JlHR+L^_Cg$FJ}`?BZGFG$w+Yh
zw+-@X8Ys>-;&G*&425D%4d;a$;7tv(0mjsTDJD~tccpD{YO>kO+{*W5<-d|JbQ<MN
z4FU~&-Ztq|>oU61R&muDT8zqzriN5Vk}86Mvw>}DFhXmx+7uU(cth8qb{&%Vk~jp^
zrk(>Kg*rJBYU`6C^Yoa>Rqf~H2$5QFv;>(~3({jUCvJvy)O8TSk(e3;05XoD*z9@&
zN#2KqKq#Q3C*L@&w#7$b3E>cWr|yg+3kK5~8jb2ZXf&E<)8R5Snm|nZpF@*Eo%uZe
zqHQt#@~AV3Ah(-s@#dDg*`d|FCrB$a&+Ag5(KPwhnL7@0b;jsIo-%WmSKf3b)ss%z
zy|>of)mmLy)7VcpOt8AlqI5XbKFj>1C4{!{-;o^7i$_?G`Iau*nQbGHYB5VJR9#02
zlUlV;SkF1>B!x2mw9);sMu<~jf@iFM1VurONpEMEF9u&Vrv9`W{7tYykH#dMG7jpm
zR;?Ve+Ue1PEw+l|%!|CnBpYBfCQR{ZOu*!VjO^-uD5lvxUmhmRn6P6tCTt_xTK^Pi
zK4U!PH70?Ey)O7Prhg_ba6mTtVropOI3^DvtUb_}F76uCt~I6$IAF5~D2<5&A%!~m
z1_0A1jp?}j8C>g2Vthzn`lghCJbh_sGu(uQ*UB3wh{t#0m;IIcK0IA44y21&LOT_T
z7SlqNOyJlLBuO+2DE;YPVm|8JE?GDu8O8t_`jf%}^e4^1>EOlbPcMfih5mFC{v!Q}
ze);q#K`!V|c1xy28YB*^Q4>~jD*i+vvkSuQ#TUV`#d&nhk26?dvY_w{nnL>JQaH9)
zt;(e@?YaP&a-(_PqayCe#YYOF6g2Q{MEW{2P1%YY^u~CyFL2NAH5IrhI#XG7w7#=8
zGtnNV8;L2P8;!?XHmu)p#nl^D4uV{aI%yl%TnOKHPJsEa-WYDxQF7W-O<lGEsWYwm
z@ZPB=6vZbDhe5rXtnFJ}*)cUW0o7kzn`qSsD^qlkW>_4o(ZxpqT6+CZmV(-J8=#}n
z>&j3^btSg5auEOXT=>s%E02R;$Kju=@jur#=)Z0J@6gIsgB63E$??YUbiFwOH?ggT
zj!f0sP~oXV&wiFT+h<-|JYO6uRSUQJQ_C}Hdv{2ARD6}cu%K=KeY#ZVPY))IJHsO~
zxatOV!(HdZC>Ga~Wo&jE)X!>oI3=$-_S&)6Syz~=HT!xC+T=4>4Q&%rv*c2yi!!b#
zn_^S-)f}qcKK7?9Rd4W7rB&u@mVkWz|I%nkBMDvAuzs!x!z1&jy8RL>zmj3+t3AFC
z1jpB->E8#1Vr`@U9&Uiw^koB#rjIGs0+9Az`%anoAI2;Ch*Oh)5{uRJ;r>QT(;xdu
z=kajAy;#9Fpk8wyNX736Jf}5Y#Sg;(s$T3RT~B+yjhfwha08i3gLO&QLcNkI?lZpF
zoHrDvsl;_%f>c|LGW9PtW1<cD+cXM>tS#dg{)~(*)cJG|(=T=pFA4V0BU@{sP^@fi
z2{*vYmTZ8LEllZ+Z0&YxviZ#%liteKE&|VKjhC%33<YHC=3rlgvXx7NC0p}Wq9&@i
zPX1+c+*`x6l#nSwVo8~LT1aWmNY>I!Zq-*N#qRefgZ=hM+Fisf=Ed}Wd)1f14e*jC
z8(<_2Q+gw5_c=8=yl-rfdn;+*Ch(lrcu5PxP(adt8SHCN(sF6AB<)bxYboBN-!`|+
zzuF!>8-=8VlnL@mO4;!do6n4}J&`S>I_*idVK^oTgGcBFpiu1cc5=7@Ug%^4jL>0<
zN9g9_MqPA1Yb6$mcHh@Jb=fRXVu2Hln08`bdpwWubDHDjE{sG0x!WG>Y*6lUX|UvO
z9vMm$6Ux7A;G1DuO30odv83#+jI`-w<Zp>pP<7e)YIps0!LEDc?KQ+Naf{sT;Rbkl
zlMOKPhAAF-E4Wp=%c;p>|Gq79A13ge)_7qH!%#rj?hW=eC~UbjSi*MH%8cbvu_2da
z^WuYHDoco=Aiks+uI+)vG$W$m?UtrqeL<x8$p+-VgMfI1^B2Tlal$$88e5tiuH=PN
zHoyocrg(&N9+{j4FJxCknQHfbAWU3w0hO)fuZK^9mNRZ4UPQxS6cEwp1bZ74(OeoV
z5j~}#(O=1L;d1t9UK;LS3E>vqE-BnkkMU$=q<0x#N<rjHwviYKBH@whVPeTRseW;|
z0bZ(Q1B_H-ichM^@8gwfk!tt;HBN2Llv6^gMJxGI{R)E6X^)rcFc<}-`hCIP2BkWe
z21}~vqUTNVq4>kb{WD=oO30reu!#KS=f&vS)TNjDozjxYJHg1>%P@(t`N{3zG)lgP
z##?cnrEHhN1l|pwk^5oLv#)`f_w%pEGXvmT6{h*s+vD7O`k;a72j4Cyo@Jc{veGo5
zDE$ObJ>U##>ZIsg*fTnkj{rQ%ZJGQlHYxmk&+Vd%X@|)9`)^K1Y$>fKp92!a?dahA
zIGG7wz%YnAArpY|L#QjWdYkjg{APV8ybpXJ`6|}Bkp7y4SI`e6KZl~71@M8Myi{=#
zox|Wuec$xN_{ezsz%7&kf*l(NZb|Ne8j|~<l(?E6c_{fN*4h;|!mG3V;P+^ggdh{T
zfhMN00(*m(+01<b43CIi{w@>|LS<abbKd5e9U@S`d`{1l3-^Xle6}9<8x$>~J>^~3
zqbJT}36eaJ9ESfG0U|bcGJTyTBgYQI%5{zL_IPb#{3UgY>B>0s#hZs3?&$m}tWOiL
zKD8*U$y2a|xP~>Qz0@_Vi#F=l0@bQ%e$uqk>@-w_P<0vWGqBKdwUmH_Fi&$N|8;6Q
zwL(*P@HzQ)=9?iTqn0<mQk9RKS4XC1CPpi8S@C$IJxD?^SgE&1hE~xFAL}6y4<dvr
z6rVIaS(~0l(P@uC%+7d=Mp;%Xa){+8*}WhouH!iT<r3h0wP9Nq4V(Fng*}_%yq*9Z
zAcYq}bztS?9{Ru}Q$W*oP=IPb^f6z6rp8_UX%qh<r^=wrtH(aJ5{dq-=3-Omv5)Og
zaS$Ym0uTt<ot;yus*d7MyOVp%bW)Ckvx~P|U2O8BYTy27Q*v_|N?ug}?xY2oxs{xj
zdi!$6<h78uB;11))!jMp)9&QE%5*XY?zy-Ms&>U6cFP|x)AC25P*9OFRi`5GezHIC
z-d(1XQSjnSs^O(SY<TZ4)AD`&g7<r6;Z1&h8qA|YxzD^8^z$-(l<0z0VU;5bm|{)Y
zp67>{e5Vv$&h%h)3Kx~@j!9{{7saUWtoApMT#z%exTyUKR(YuWJjxng^RLyhK)qY<
zp-TT+UmzUmm>1f^=wJJS^Ql_n2cSC78jnflF!W%Jf2LEVpLiTG`JmTnM4~^dxyBb-
zbk2l|gCNlwFA%a<+u$01S(#4Cap>(DzpV@<FYFiG!{y-)t?@HuIvE3Z?i&B<GA+NN
zU+~`CA9&wUrjt?d=B@E}m1+6Te!=_kvhW7i_^*}eqePck<1xjWvOQ}&lkXY%Ykazd
zrR#g4VzB(WE$6T8PtF<9f@}NwOnf4(@w98#u3|h1G+KcR2&QM+u*Yxjt;6fCvS595
zQL8pNJyDmB<y7r$I}_z76+9+I<49JIUpk}bU-E*hmRi~$Cg9lZJ0@9t5?puEIFDr=
zCIo-sR=YAk*~X$i9}4wlt8*As9E67!b&X9%P0m2$5g{husfGDRkAJ6lSr8_dhJ0cA
zNpFSe1~&e%QpG?#lBm67bvTsTL{VziUpzD36edn_vaYhHHZfC&hj16wYa?T1L!%>f
zcpR}tC*QE#XdNB{gR^g<B>IC_wkmK2ZoDl{ggf%*33`+==t<S%KytVynxTV?rsVJ(
zVs%yyF)3aSjrc}*K8k`JZNi`LR2L<Qn~6Ms*3#<rHBfO7Ad*ClPDT<l;CLjF$+x{P
zeD~0ew`<PRz;|BMm$nQZA4uFD=F9o&oIx$PXnx;{b4(Y^svCS(+0&|QxM<U=3V;H#
z?j|n+<F|Mu9iP9hH%6vL!7kn+Q+aj{zyt2%^pst@zOP-WHAb;+tV3R!ORw#UgSgP(
zILslf>H5g{&hdJy(rVY5?ZJ9ubdYTDx`{<%>JW2G3;qBq#1-exMB+qoD*L;Igkxg)
zqiFdH%7vOZUQ2_>P8^sNKXK$N;O})R^Unpw0{$){&Y!jPwDEqZI0z3-8ycI;w2^_v
zGi@;WzWzUkpVR5-e@>r3;c>?-e<FMh%ci#-@;HbYfd7FxaV7kJ)i%71qlk$x(Yju%
zQl(H!^b88;pL(oa&wk+Xo5C#xO+vCD`U6p!X;s86;EQm!(<R`YoI1{K<5LY0w(3ky
zW(cdCnaodm_(`96AX>hIa;K)H`v_8YTEe9GX~_&x1tApyt2XHmI~Drp8)Itv2@&Ye
zT6${wIaC~kh^8iik8LnKMEeBcm)*t3Uu$FLr`zbF9D{DQZBHrF?lLIUmu=esR9p($
zpn2uAGJVwiompBk?Cn`vn0#0CdQ#9#)aiNEFwwd_$e(DxlOuEm=hx@+fxne11)tL1
zvOU(Ux5lO*3IiSv+f{GClhJLQRY#{_w^(bm7o}AQ&kH1yPtlo6eL=)>UiBsG0iZed
zMbVrV<Z?B~zL4aMontYnz#MA?3<I}v0m3b(!l(&onh5k~Ej`E1K*d3bXpYtRWMni0
zk4HwCe9tV!QJN1r<;sJ!xwPa<+toSnXQVAyW%97_jh-FhM*Z15V84L`gROF65R>~w
z)@nqp@*QavW2UYoDt*<}<zw}U>0<Yn+81MqxJZ3}>Dh6Sw`<)CwuX=n`|7JC)5*XK
z9u>Yu=-J8VR*VZj)5jGS6Xk+%9T{VP)ErAQ*WX2pzq)w?uYvleF4cL@L46IB90BJp
zrMY5UMC66|!$#!?x_|sVPN5r<Qf!j%V>Q&azA>pYrz$S&8uLAipm4_6e6Fr8Z@&J0
zuxn;`g*l0j{V0voj=IMY!wQX?b9A^r-k$S+fP|15DG^ZjIC3DQ6I$|hsI8X=6o^zh
zqtIE#%b&WtahC8tMU8($4twsoiWL{uTO;t6QN2=|0MmPI$Ao#$qz=o<%ckWiIer^0
z8OP#3g@U?g$IL?Lu8^IBSeo=&^UK$f^%B<(-1<+}+QQUnK7Z31T66{7C@8K!x3Za`
z_|n@5Dq)XnO~>hUF;1rz9jD|JEFq%AQyfY~i7(hxZ_hNP%>(+X|JGE}nss3j5><To
z8Z5M2PRZ+G{$b+7jlnZs6aa4vt+kp6`8UjDTZ&Kur!oeTO;92<_o3=0l`Nz<Qpq|u
zqE@M7sUcEIRyvb1;dSbL9yNPt0JB$}iumflZT2q%8pU0wH{vh4jg@}6cby6qX}MT=
zOY4BcBU6n%^=2F2=K;Tgys@(zr4W1y?eUR{)(S5#s}-`8b)hD{G`mc(O;ioD;_3>T
zBnIsx3ajA-?h*KC9eSWkPTf0INdv_i#Flz2)j$_Wm{k0({#%O=$?)yK198iN(uYv*
zyiJ$teDdJdJJ|t{my)KJdOp#UO=zZ`R2#@UG$h4U)fCR;gIJBDs$SYVevxc)hdS5T
zS(>R^W=ZdYJj}?VxXJov1M!zZAUx;1KM#dsuQIwf+yH;hTQ<O)^TrfY0*w3p=W5Av
zqi$hQ6p41<A9Cu7v&@)Ey?r7>Hew#~rel{rjs8J`(P@=G>n#BBuR2QH@q)+CP_@Pd
zk4IZ4s>F1a;hQB^CdE0<R~x^1FS5rXswam)p;+EII@|!yJF)?WcQD1rJ2-`lPCNbq
z<Q+=1`@YJl%jvs$lGiwZ65<_dB${_lAQ+uidEOC#l;oYGva4E_b*wy^b?mP;e3ymc
z<2&*^>T}%n5-$ulz_X5QfMFd>@vu%BD3IkGCh~9EsmU3_;*3LWMDxuAVdyj(g1aQ&
z9IlUpkS3JjnF6ObZVe;G6aNP4XB@A*JKO-zE3yHGS1_eFyz*J6CTH0C%`2ZI44p<p
za2Mf~{Jdz&<8&>@lvi}s|3R-o6{<zF1b&Z0)fh_0j>jR8Vwe0eEcSh}<E@O`AZf$i
zEZtm?E$U5D7tFQvov~KzkVUL5J$hjVo?z693aA^E1}ts<D^*r6oXLV=m{<mqdH7Eu
zo8W97m^reyFfjiBzA?2Gg6%MD_o~SQ%(ovH-#X@n2`cKxxK=@<OZ)4m7J*jT$ex6S
zmdm}M$3|BC4uxZleO#rAlN>qljjv)&wNFx5J3ZN5>zm!*XGQndbT2;wGgx|+4BFo0
z<p-xhb)JKfm}D}oyG64@e~hghzjeFRsm@uXjOi4~lZPTNA@clLP1jAKiw`b?ih}@=
z|6QY#@xN!l@%Z1FeEi^ctj{oKxFypSgt1?e$#p0PEW=y=49Xfl9(<Oyy{y2i(j$VQ
z={rO?L!k1=R1>08rl%Sh;0(dW?fR~IlMUr_wxyEMov${lzXFIf8PLxL!I4y~{xa$_
zY!0*cRbZ0YQVy%9J5PS6`4*=-Kj8+e-$vy5vzn})3`6GFODEn6d4m8Et7~*JteyeK
z!|F`FWAj->4|yjdGl+%TO1@ZJmji4;v3QoXNlp(5$j`#ijB)pt_;547bIFYo39Ei5
zit<~~7n4!_>=GPtB@*`%G^|KqlG##NB+?x<dv@+$oXY%U8v^kV5$DfZS|EM|6$jxV
zfza4w1R?{CM<AGd>X9TLm!#5=mlH(6tv_EB?#_X<peUTIEe5F==+m=NB2d7luzb7C
zkbcGpj;&(-r$BWc#Rrpm#`>o_mHEjwSpO6v&Y!h3>pv4J4#GpMud&Ineg+y3>ofVD
z8sLnS?L)bM<=uMoS$<g#lo^%}R;fY=s}X`Ez1z6gi1cnhfwJarkaW0!Tr%|E8b{h1
z?JLB3-xpzwGgv5RYh;8EJW)h)wBa1NyU&4T#gnSZ^ksmNzNHB9r2f7-Vx;AmU?+P#
zCWncTj*7VUOZYXdZ@SYoHXkg~J+*Cp9~O!q8)HkBwR3acwZDias_X<L{cZVE(C27`
z{4*ekEe-mo^Yf`N6GX4jpoeDy8D^r49fiV7l<7(jW;V=3sQ7^}lVO-FM3~9XpkpG;
zgnsoW%w#)+b&ZU{i?ZS<DZCxq*wr3u^)k+6L)kbJp0q9kO>WBCQTaBiNb>4RV`g%C
z|4?JJ)@;`H55gS)EqJvT?rg@5qVF}{K~RvUCu$>g{qpWr&6zsIo9O+e`Pi+FFHw`e
zia)U@mdDp@<;5>T$^nh>CUbSE&ZiFUcoTjcG65&ceEG!8>`S(>e3C|`c*seLXtE5e
zaY9Zu_L^~|yDkkpIhtu9<I|gqndmDy&G8Q#f|G*~c!Et<L7~`yf#-%B;5~V=0mhSu
zDVFY@hS@B!q*Qb|yDmDpY&5QPYWEA5xj+U&2%OfUJyMqw!cOzNpHE=rU(3`qfN>}%
zP_;%J$`WfT%dihzX-+ep;voIE4O=@58&CJNpyjWW`=E1(|HZ?b!VU0DBpYCu2va;v
zBmzrl3eNHl7j^O$r!HsA46}D6%ZNszIpqMs=(HL_yd<YA%Un3cM-edBL&*h=NwL}J
z3t=evPJNd89~V_{cenwbjbsB18)1rvjZ%AAmW!AOl<zw=Im20;iHb#_JU|#ajfUVZ
z$wN=zG@|UJBXj9VNBwPc%bXoH`cdTnfqELpEk}kM;JHOMz;Fwuc(}#55h=?q+zm-5
zhDj^VFQSp?N#{6dKNI}VGfWr|a3RM&8@@K!=irk#xir{M;-H?cm~SrqVRPP=FeN3P
z#1RA*k*fT>7^}l6sZOkp-ix>n08$t+1k>((JJ|V{V|Q+ZE>RH8dea>184T~l>Tn38
z*d>p^*1AuzI@Q=crViGbtvfS{);UB@Z@JMr>r}Lk)GaGJn^TjO$*Ix$1Ui@@R;M;u
zuQY4Bc7e?iw=b2}SZx}v!m70@Q_b;Ra4Eus{cuYUYt+1+ybbw$Ah|u7-G#+!`K;Yv
z(<r`KcK1;U?fGaCY?Y1l!&qp!+;jIVwC6lxw5qj(q~IRSaiE02C90GScoc6rqTl2M
zu8TJmoC`T}_uh9$_usUq-U_AIP@k_tg2&^9NtW*6s2O&skF#l&>bvt*OA490A9NaU
zlrdv|HoRaD5W)Ve=7y<I@XrsR;vi(?1=DzCykHr)JYFy+-^y5q(fD<ui@<c`wwNwu
zzM!Em=YVYZ$Nq}4hJ%JKQnPj%E`;kh-h(Kn@DaE>LR^2E4a5`?MU9<o0FkyWDEp_f
zJ!qte)1EY9v$CIkf*hdS#79GQ9-+acc%d;22Yk@bpi`Zna6?2^5qbWsridiJfbokB
z8XAI%g8-3;Xmm0nk^#pfB22zB$}o&(f=;R8AUZB3`J!`V4)_H{=gN!)C5@_(&vA*{
zKa;8P2HmwMFX)B<=3V0cVYrU8u}D_qxdw`{vc%e7Mx!}2$T>>1wiA48@DV1(i&kn(
zVS|tMJC*sR#SpALM4UfsX~B9aR2+nd1WRL+5v&X}9>HSromrBLQrRk71BjPPPri6<
z%Nc@#;&qxd6B*ZbgQUP~byK)9jqlvA+;$kaM2<OOd9tIm7bs(sT7}f#8YEhUJ|4|;
zL0(Xz@)3f96%|a17Zt;j1gj8pxAxyS)%hjB5SFhHdH$@Wh2`r|aS$L97L86uSTf*v
zgoVj>OdfOS0q^8y1@?Da$Y=i#<$#)D|6r9WaOp21)IAv_gFC6nc!@iNW|(`jLkB7;
z=~4HfXfR277LVFI?dL26K?W`@#6me6KO=DIB-AqKqKI>bhK5#w>43cT`U^aEIn~%n
zY0B1T6nW^z4>(2Oi!6d^sZp$Bl*(^tAX#3d?-T;_R49=#wmLg1Ii!eDp&<?PlnjAU
zMu9>hFv=dJhl~k<A%!&%0)y!y1m+Uxm<WNPU;PPzfomeBM(VAuVqWy6Dr8ZB3U`iA
z)SE-nOwbxaqrtFj2Q;{$tdUSAb`jn3LT{x};Vf2MyNGddqgK+3KNe_mMc{@0+m`t4
zL9VZkh3=udR+sI(|KN^Y(O5XaAkW58&x;~rU>6FC;jZsZ%*S30C>QqPiTP+jq1c#@
zSA`qkJ!i53#&d=#mI~C<n2)zPwfh$%Q_bl^%*US)!cOzNQ%zvypS;bOk149wV4~i{
zeEek?HlFU!3tFOLKJE=Sz%!9-fMFs`@i38Lx^e8H9v|34PF>EJ8EbPS%M^_Hc#vRp
zS`8syl2iJ2OHJJ#i>RI)0)=8HprgYL@Vp}%V0Z^pdc`}doVuL8_nmi6AQ+uidEOC#
z6ycrxyy%rq7xbiol7y>emtN^jk1?tnI8=?XbiC3W0x5RM)qqN$ywXqc>W0b<Eysl1
zfiI8~U9MC23UKO<&VU~vRc-M)dvcNO8s7uY4jQLNoXh$K>7=oBDpFt1(DQn=TAJ)b
zmKjL)L~{=8MPWa-eD)}zG=weLzemNR`??}vs*U~4SZKLoJDB5{3r&k()^H{9UUf?Y
z-k#aom`;QDr$>h_1a<u4CWIMm>${Kl1JQ_>cCZ&iDb~mP9!T)Gt1!u0q#Rww_VLam
zV3g%U{-uS3tTbP6Ds<KiV|Fu4g`Xn={aH<gsE|+hi%@Y8A~F>Ue5|e}7oP>dh~4QS
zTT{ag_3=Ap`X~n>i0`75<rK)~CmZP>mZ9RG3Lu?)3o^&L2LBcEmO{ESC-lJe@5^*D
z2I|G8L@TiEk2c&(cG{BS=T?KU7eS$r70zVrLU11e6_<iLd5gi=+Z@I|p-dko+Mod&
z22PR_OtB^xkD;B(7aiW92dPj*gxg}OM)@Kl-U)pPjU*2Guf$6tZ>OvWc|^pf=%Eg>
znes(#AVz0>QJ7?LL2wE*w$*$@#4e}0C^;M@^88s#%i%aw90Z6K7>!OwL^9xbM1;v#
zDx@J5mr}(+^>r!97oGJv;1?8~$NUDOcSdtykTaC%yp7;tMF*35C_0~Vs`JZ(v4nk`
z$n$3{Ejpipih}@==xB5@qLTr~BRWjJh)ac1L5au=V&S%uFBWgf0X8ER!77z2_x6Z&
zO8Wh93l-`2dzDzydgaRfZ6QXKuH65|LODA=!<Bow3K%nN2xK!D--&^^`z!T*^aKDp
zbjL^WA!HF?2!dFqXv!~TN&^EOw#$}vzr+D!kc;>6P$EwykwcBx6&mU=uSplLvJw<>
z@ha<(9!kc=OB;`Xix<;{i}zW8fpGECul~4rH$foXFg-2S&BX@Jt7>b|)BuLB!meIT
zjMv%Q`QX9i@w}kcs-x{>qwteYHHVBIkk2#l2Hb|M<x!We5~9NmFv-xVQt~(BO)Fb7
zO>V1P*P|EXu80;><xaz!6xQofvu$irr~N_=yxJ}sU-a}x8^0In?sC53u;V_3D%pnB
zI9~B1oIw|~q!%2p=~d%(iA8AzsvqVjyCdyjM?6mNX($xybGj+q0Pk~>4KO|@OtBQk
z)ajkZ!#evfSnw##?)h7sn*7U=sQ?BX+|)+&fxQESq0=bua1v<v7c3=*c$L8fSFK@_
zRC&?i#4)1na9R;H*<|6KOV>f!cz>zac#B4&0skT)W1ex|s>CB}{|wX0Gp%eOi^kH-
zZ0%U39tt;S3|}NGGA(w2(>9HhYfk%BnD8J@jBq1@mT(&p5!Y!Vu5-{^FlLu>WU34i
zFu7%i(Rn3~)`6#l+m0Byu3y^}Y?nJbsMj_*p-&4Z7r_wp$;Ubn&~%iSbv7vv<VSp-
zWLee~Y;4v}yrkZ)2n89=gk>g#%G8deKGN0>-q`GVicQW(P8>+ijb=!($y%OVf<0J4
zoq4V-oVVwC>mk&Z>N{+7woxV7jZW^Xfm@(SvC(-x{-Rd{>6d4tBguu9O1~U<C8~MT
za2yYUQsLI_ZgxC6to7n<_Btso-VKk?GRFe@h|78DO6#uD&tbfuUpx-D70$(|ZA0Z8
z+CBIKS`W8DQ<Jg#S@R>!j#EKq3~R}|b=l6H2mfX-g;`$7mOco5d<5<S&Q!;bE@SEa
zX+vsw78#%Hp?S52m)pR2^!}TmP^{j6Alv}ID$52K)c{j0)gaaTk3^O>nVEWD<yLTd
zfyV~oLr%qx_7JgxyBBv*Bhl*C2QrxY)zUA9Y2`7M4P^BhW>0iaxPjte6x$PJvGA*&
z4~9t%V!`kiHf`}&l<N7gQ_5kUGDJkHo^!@+ik-G2#;R-8Q;b)tJ(6pg-@}F_8?>j`
z`;LwYb~||AQ7#SkeMj^tw2YA9bpO-Bl$5ydND%1YX$+*=yyHgy24KCAo~H8RMn7Fk
zlk1UVdk|T=G1&S3-*<Ewv>(xZwd>&!NO4Yf0xEsl^;GioGPU)QLqm%An4DMGT}9Q{
zRy;>uzg?qKe0beNs)>jjgz!ohaRr44IIYpc(0Zd$z5>0BCVP+<29kC(OUSLqtW)f0
zY+fw831id$XTEMJf~kreeKi(ZuJ{SWgozwAcxY{^BpT0mp%&xt6C4?D*4xeT`kuPO
zTY{aOi+)VyQ%<AiC(S>!Rd`2qM@^6V6qI5ELf;Aru#$3*9$}KT(mR@w6(uPzZda=S
zqd$Jqsm{L)qq|$a@AWYv&!5#a^A!pQ{WMe@1c*WoG&-4(gA6#HkOL;)P(hB-<KHP-
z66PAW{d6w(g}41l4&*pG(wB_#6X{ES1!e8o(-l93>P+7Ba|n_v!v=ngh2q8iC>=JS
zO(1H!$R(x2#HGSeJW_;aa_j$|KnwRx4h8nD&`<;!A(3u<HH8;)>#H?cL!GsDC0_?}
zI{~*orVDG=szh14=$FUZCCxrV>N04UDluaFnClNz$Bu;`$HV^({jjqDo+*I&xpe>@
zoE+QQxq4!%Had(K2@a2rw{~}9=@O>P?(JPRMP7T?!LAy(-N^Iu*RoomT?O15)|{@j
z$5KCkoJCQ`97v<bZpA8{#WZAM#41X{?T=cvX$f8nEEzZXsJ#U`{?F5;X62Zr-v7hx
z0a1v#pKZ)G>E3f@w6KLUMJ~A#t8wB07MmO)s7Vck*+kP4xIh+Feb9f~#E%7u_t*eO
zp-`+1a8I}a-aH~3U~Dv)Vlt=^^FVecnj0N$j`#g{oSOV=k*SIG%=dpYVdyl<+f4)-
z{#8whBANuYbJZHlgUX900gm}>-~TCPCLqS>TDTsYNk84|p(;#Iv?=%Fari5n1UCff
zKqqHGZI7N!!kPSVhdv62IuCN!i$k?^W1cNphP9p;8{eVJKs^$Napn13xDAP}U9MH+
z>0DTm>A)^%PugTsw3z1S<a<ciKytsNPpO~IL|{lP4g;L6O`eM-gpc+<-ML_~MEYnI
z7Ep;^WKt$W1+tp!qx~;vQfRF|$6w^5rC%PcRg&9{kM@P>$WDy!Xx5thd#Jpwi<{X(
zDw`zAufN`PaQiGX@JhF3z`;Bofk)L2RgJ?r6AVFWi}?nat+h&HjQvpy8L6_1ciWnR
zUsTkZh^p-4b*auQ9llhXUCNBGIPA-$*x(Il7>et(DTK*Wu^LCGU8woPRcM_QQ=6TO
zg_J5Q{;&x?El99Ok3AU*#p<!=g&W}YSlIxh$6`uv^w=#<O@2P_iynI=Vdyl<>#+h2
zd*v}r7fKFMk6p!8YpjYYFY2)z!`XT)-7=Pc41u487=5;MeKynH(CeWqO;@yj`;xeE
zQTi=6G${ilbD*|9>9@y6ELF<wHXEmU@<Yv&43wwk4tllRz2ogMxbzo2gi@c;I&QH-
znzNJlBT)m%dnIl08tz;yAvD}~>5e%wi!lYD`CDqZ3J1_|^^%jaS)7LZd1z8-xL?3u
zq~X#ppN1>Q?MB1hq_-Ty7%X3*J1Fy~sSIaVYHcw2?wD!UR~_h-4nwqw@v61b9v#pU
z8F#l^H>e@iu~btzoJj|(jr&>i7%6z)kvzgPSlI6NEnW8D+TLb{cF0ABw5im>tBqb&
zbabw+IC1g+totd4Ey^_ZW2cl~2K%B?AkiU*k6QatUrz@zc?hX?;5lOD^i->@F<hxs
z$fF?G)lIUwYwm=tp!qS#BPX4Rl6!!}KCO58LU&Nwb0Qd?R=RIWmgHADpEJx@B2)#i
zL}*4yN5)tp7V63LK;6_%lXY`oSy%~dAy$bh{-RZaetA|2DRyPOcUQD(d+NjOsjhu@
z+G}@V+=e_mE+!@3#i8?|gWKj|cY-F1z(V%SFbY|Joemc?7q`WBqhbecf3&Bb3xZQm
zcwswNmz{+}kp|3XeOtyYz1c+5RG=MQ(nh5Jwn2V@28y$Acnk(xpir#AU{|;S-e4db
zU<?MB(i?-p^-fLxm8~zU`+maEX_Pk@2sG?j+MJTr%8LerE4gZo-Ga)C27^>cl8p!k
z&I7i=K*aiboQYf@@CUjEwd+Xi_rxKfw&olNDb&expte4#Dl5X%s@j#yv7zPvxe{J}
z`9EI=Je;^0)=Sr&12Ky=h>2y~II-FF)REkagbXC#ko53-50gig`(`zk5S!bt>CQM(
zV6dy9xv0K_=AyYZ9VkO{2?QPe6ErE*mWS{csV(%&qqZc1+-^3vm$%dryWSkHyP&k<
zqUrFfEq5H`YKzf@Jf-CfM!IzI>PaW<-dk(#YOSuUY3!$?eyq;2C>=btWimf$d7zE>
z?<GI;!VuP1{*Nx(nQdc`YAZ`DR9&|QlUlWpy39H0B!x2mw9!3!(q8!OIU{)3<p?MW
z>PmV{ZoU|N)tLIzZt&P(gC5ODHf5ZcTCG|+WVO?yQ^F1KnvraP(Tp&~rx^j03o;nH
z2d3FQzsRY{hT5FfV>KgeBigpU2Aa>DXW=y?frh;bnDi-a2Q{O^xN421M&(7#C>6(K
z5rWYJ&8X2es9kGDNgM)7GvYu<p-z4dQ&yieqo;-DZmk!Iks-b4S91Ey(~E{S!_@<5
z<Ts86Sy#l#U>7kzXcs`yVp^P%132mf$(y1FU+GD|#2yJf=?$`QMkWmAHS{Ef1?Wkd
zchg~u)06%TniP7{hwvBaN%YI7Ckb*vPqJGwWzit<-CNXDm3#(&qIlT_t4Zqx5I;VT
z0(UtB6ebG_KdULEUoM4Xi`9Bu`j&)CHn*Gbase@Av#zbE6>%pSJ{B3JlYvv>?5K=G
ze0#Rq2K{>4*rB>_0rSll`Rb~ZwSB`A^~NrYv>tD?!4!PPGfzEruwuQlKtb4OCEl`O
z{e~;9-mr2IWM_1ko}$ue8`oS2-!qTb>hx>(oqC%4e<(2C8gA8565I9RT6<X1v$}$h
zQbLm#*Ctxv$-&*H838k2#NVrBRsE@Dj&!kaNtsdj_?Iv>?V}a_UR|p5o`Xpf<_A#5
zDcz9n`r^1tA$MYAb{pC6Ym7L9QFZLKW3RL9#R}i+Eqs#)u^Q6hQ}@?0Uq6Md(3fn}
z_mdp@Lhs0><8RQH>bLKo6%r!_CJm5Z#*;1crCRZ#G@oJ-^OFtpp$#>Kb8O(zjvs-s
ziM1Op4L87R$Fc!NJH`}i!c6;pC`^8$!;E%}X?D+7h6ytk<yh?)+c34`v7dAvKfQmo
zSo=1hMsObp&+*W1Mg`#2;xG)LB*oq^aAB~o!A(~#4fYKKxb!Hln@fM#s6RhUNr@W<
z1cA2NVd^Vt;=;Yd?*!wfGPNSSNM>YfiIrb<)cI=ncq-UqkA&?eCNXdJ^Y1^e4>!O|
zm~4QNFii1DSgYOiN*JcuJ-^kd$-j8VN*K10FJW&W@SN6o2@AteK*By2>}ycMa%r$6
zY@ycR6!#flZ2Z3*rm2Li2~tbS+A?0@%*fb6olo~L{bKj<fnX0kvUMM^N1SZ^d$<8!
zwqyg0Y+*`oWa|;9CWqTgtX^@l^*aL3X^oeyFboA`>uFOqYIf^E*~+EClC60waR;Qh
zPX1+c+)$X75;7%7EGbi`6x^(3gl%c20@Zyc#fIXNAQT?qTMLC^RmUyi26*9<4KTuo
zDZLTC-A+w5Lz>D*Zx^;*1fJ6xFMMGb3JBlL!M+BCFP8>O_?E47O$+$9mPTK)&695p
zQ(HnjMJGy%=hI_MBN>@o#+Oop=}Wee_+$_Xk96Ke3>LREekt4lFP*XhMmjOYBb{^6
zkR*Da-PwsmyYKfobvY7Kd~p<w<ZGVaCj6Y{cmWL~Q9wX{8SHFOKyzuZ1aux5@)Q@!
zzii;=PuqiNBaxI4KS5#<@ypMPo*~Xel$K1s1{=j*Iz`6jC%3~5!^zKZ11b(8OVbqj
zJ?@rP4H)*fK{jOx1QRG3P1Asoi}6ekc)NvBVfFSn)1Pbc-Y%z{Wt|1GzI5l7egc%9
z;f!Z`cBpe+FGxr}V)QmS6I&BD!ZXWtEbRtakDud^Z?j`H`5d$^jtYaF=48f4fxeDA
zArnCHOsFekwlQat`OW&y(W#LG$yc$~h4j~CZM<<Hxd4iG7QhF3LO?k~xJNo6mZ5Rr
zmgF9&Az2Bf#6@7pG|4xy*0Qh&+tcz{VhtyeK-P1;Nv39nUBYwZS3y4MV5{O!aHfEM
znM%z0n`d?iPXpW}=n6t*CmfH5x2B{oXuPqj0^1;b-FjrK)+Be3b{=+Lk)A7)ZAj@r
zvQ-kC@7<8SolOJCj>h1+#&~<YHZlH^I{9xm^By@GFpYe%LMh4<0_CJA%E>sESh4<4
z7^1Wn%+-kbm!vJ)n7NV6{G@56>FS0egsQ93UW$d5tHlIFhPfHB_?z0#OnnHID%iE@
z_3X=Q`^G0{CWUMWk0UxwYn4`Qa(bdJ#>>4iF|9~x4t{6E?a=_37XsQ7B~IDN0ury=
zpgNcfxEm8O$<j6*#nQepG4(9KvpZQ&!bhFT>}AH8wA6ixA131bS<Mxs(0z#?gNlRj
zkQYK@lesT31C8gtL?&M)mqRqeck=Us^to-M8XCqwILOjPd~eEu71={R`TGXS8h-M3
z)Ux+is<1lXB2gWgnwc1_?5Lx|eUJoVuu^Z246PzTSr0E2;>tqab?}EzPh+9>Sgj4d
za+>#KwIYYm#**E@wMz5rI4%XL7CB!vnlyd<2>N64w4b+v?4hLRp9vmTdN9dsDOC%F
z#%fE?d;yvgfAyzL{O_GA{lw!4$~#AYLnQjMnlhAp1u}Cw7b#`-h4;xHAa4*Pk|BYR
z-Pt*ns_H2Iv^)8P7u&e`DK|PP$00aDEjIa4wQqm4DLJ7GCC5RbpbBg%y+z<&2^E)w
zJM<3yIb}K-1NU6i4i(Je4;$VMWm;a}FL*ch2i~1!IvE8o&ZHV%`oo5IZ<&_c{epLY
zS$LCQp9b@R*zjhS;Ww1&qeK_XYpa~82UDym+q0@O`A#Xioaw>p6fO#DzDq&=n*W2G
zWuV}if35a5_HMn0D*bDH0f*;bL~})OK2>Y{=b$=|hKxxT!vq%~wWv#OR)1<vAO+>`
zoGPQ1zrQ6C{aH(|@!y7ugCNlwFAyrQ#{YYnPRelzLToSR5@`FQ4fk)$Q1ajXg8TR7
z;SR0wM>TCW^)rg0QpLcXyT%`1rsWD0>Wd0>0#sa*n?vwEw@fFa;LTg(FDujXx_-gC
zp)9<?HGZ^AA0@iX8jmT~l<isLnS9U4U*ppyOiweNLd9ThcU#V1+drK%9~E5N*Jr{V
zXpN^`yNqFnefvzSK3aiew$n3h*yFeN*6R%w6<;4+B&=O6*4)JeO~{#=Nzpjc>iEWJ
zW(dl;TH0SvqQGw7G0EbS;JTx)<bk^Aw@vm3oXVmm;P(=7{;Z`J^*f;AAUw3FYiu%V
zat0cY2r>CiEzCa}$WHOHAWSX|`NH(t9M}sAQ;m;Ps8rEkPa=h9vYIpX!HPN`(t^9a
zDyd0$aM2W;;%e?4Z`CoOQLi=Y@J5eDk~V>kMcEhrAmz-LtidK>doY@7gWRNq?S2B5
z6*f$Y7d9i*VOfU@ZTN*#onM9wedl2!&!4rlxcv$$4gy5trqRiWTLv7DxH0+8@0zzX
zM|8Tc3&hc-F<%_-%Ndr8I0mas9zGQ~Z6N7H?1tr2H0V3Z@v$cN&!bxRMbs*vqERk0
z<<%^GUT@P_ePTNPlI)N#v7#@GS`!ypz*jbe6xrwZw1-f4ce^s;3uAb7tgb$EP6$*B
z9X<J6da_u|dSmIWc=o-}dh0h)Yqiv4D4LmRdb_e^Pda|lSEnQJ*xcp1)WP*;c>pwd
zb}l`8Hdl<0Fsg|^Y-qOYPI3pH!nZr5042j%4V`;S&y~%oic^l>$BY!%7=Xmp6?19N
zZI62#M1sKoBpYzI_gok3qv<v?XMXc7kf<~2=y)|wIO*UfJms_xNC<6oB^2t6I)_F&
z+a=F~+Iks|MWj+hR%al@T`&XFn-L#8_)n3_sYx6)zf>|nZamqF3+t^BxN8;EuL*cL
zzP4k+JX5cY@Ojy^h$ZjEmIsn|O9IrS=%0WPVu<6JO*0O~C%r>MYy=x!wyuGDMqFah
z0X$i2x1128sb*_v(G@f8h-}IO(%VYYq56avs*e>Ns^l&#A;M!)6iS81ED&$Kwp3U3
z-<nEV&i=Xxi7GJWOIT>RoT%5sWW)r<7(-`Vkp`MK-6EukkbeVT|KCL@p@4+HhZ3QQ
z5S2Wsjv>X7>eydK)GF06HAG4j(`l87p-?was|iE{n7!E{_l=cDfJSk(!{gfUi!Ps_
zU+&coLWNo`*5lIJ;`4W@YoY2elNGq6i(ddzjd6Wf8lz2B7rNsnp3Wh=fol5l?P_`!
zd26fP+*Y}c6ic{_0U4VVO?)y_Dw?VGbhura5=-~977UWkr@-i%J6wCN4{KCU)MYy#
zp9O2I3y-4!9v=a|z%)I999_n|6x4ilSn7f1CwqKO)fjUcujeGlAQXx{r*&?)0sbV2
zY=Ailf+;3H85e#Xi4XFc94$H6F<^orW-jxt@l{U6HlxO<#desGY{WbkLQ&g3op@sg
z)2&Lv4%zDX>vx4|<uR2FWYJ*kwlm=d%*b{ltjF9VIABm4U0?z6d@>Ybn}fy8VN!!w
zF#LrmS^Q<(@^+mj;yQ<jw>qU9<|#u2$X9l#9Mywn*gL~*M~qe1`#Hf{j_$ypYzj*@
z=wY$9R@@!zcJO3VE)CYnrjYJO1MonYk`m{d1c45o#y~1l0p40sh1NqVq{@qCg>*qp
zRwB{3LOEsyz4CM1M~U|O@!MeM%S@ZpNc2?k>$vVKQv!!TigR)#)Yd0cg3r3=XbsY+
zAjgL`lSfI2bNB1d5gR6mxkn5uaHNG)4$^qVJCArP-sIG1eL`M=S0gP@@8ru@pqV16
z%m8BzBrEVA<L)wNMl_gN?eS-&ibn%9Ao~gf^bcSVR|Z{}9AM3=_V^sg8AX6q+uc*K
z&~n98FkghXyK7TbwNgc0iTri=!(l3LgE#B=0y|tpO%I7`24fxIrW%^7nLaPNqo$MT
zDNrgs7>E03dEVnfNbp3nVUo$K?$l=ocnRfElFw<9+nnlxtgoWgUr6NnvzoTpLMJ|k
zq2eGw<b~7dWV~=0a6Dc(Cf`s&j?t4yr)Wu-aNPFOS)H+Dknv?r4&;XM1?4Bw_;NC3
z%@=xY&61p?|JEpwa`6_Z&g4x$hakD%7yh{0uu#0XAC+A$l%~riX#zW3Dh$P+6``4i
z;sXR)xNp)9hJ7nE6hTHvq#aC6;f3sAYGKw;XYF7~6UglZF003MVF&v*{vtaV{pyb$
zZ0E>SV^6)=#%FeB8esi_<E%5y`slDQNO$c|)t=O?UD?ILRCZw}`!kQ7EZiWyRkym*
zm>z13)|$=Q{y`D14QK6fic>a+#&mmV!-Z=w!&b-(=ngC68d=raGjI?RGedDKCjO>F
zV)P$K*`^AJ4X^pM&WbRNN@DY}Y3Zfu<v)Sx{L@R=Joj(9Z0Ad}z&w`+pJT40P=Kz+
zoJOQ-yybHw%7j^^%#q$wITv%NkraQ}<8|ns(0F;wb&tS6#hUAuh8y558L|P!oPsGP
ze;MYwMX5N69%s!RW)>TVm0>cC?S-j01q@VXQ_-8x<AI9I-kZ032#EY^k=mxyMU-N^
zQZw)=bXGKew#o3-d{KeoEcK_2>7`*z`F>qY5X4;ybWOMcp0{KJ3~ynIhqqQnPRkOg
zEa!20eZy(budYP$oM<GP+mZ~_ehcx-!?f~H%LcM&Fc#uBgc~R>fW<7tSuFe(;`f9}
z4PwEt9X4&TU6h6RQ%)&|dCCyMT8Ixbln}>A{WoC}iVvC9R$tioe}_p9qLyXj1yU(<
zaQRWVk>a@McDlgC&(6OMlN-du!_KyH;CFK@-fOddznGYFbF2ur9WhE>yE(+9<E-JK
zWzorM(3oBB^YfwwKh?RD-=b=jwcwvzW|xtbm3dT+BPo}3JqC_jP__~+Cu@NKn_2x!
z;0wdV@^T^@$l}2)fn(tYjM0wN2Z}9$87$_6&g#81Ol(0kIQ8h3a0|uZD5xG~@Bp{D
zw5??v=x-0xS`ZCZRz4JNqBtD=l$9@ri7ki+a|_Zv;RcGML2Z<uH-fVAV3^qM(fH4B
z0|yrxkA#UWiUt_DoK<DXzMxi70u5}VJZ~K0*S#uXQiE6++XR0DLtQk$D0es~7T>F!
z-+Ln1y$Yx1Z3?#?!3<ridD(@;KVJ1PxgmzgRrplQ0;lt(g_C~<J+MzP3(wlj-oQAN
zV@gGj{wO#_goa8k@_&(bz}y&yE7l4Jg$R?Er>V(Yj%TiUdcX($;+b*qV!(xKPUyT2
zZRmNu+IE(_8hKzKd1aUt49-P-@KnS92&*{_@5^Q1AC(A*+lv6LT%vErLYgIE6Tw74
z6u${`CEDvN)yB-^^nT?VvSKA*C4$@i#1RJPsB*5Y|5MTZH2wQ8gHmh&#K#~3reW^F
zOH8ts31|Of2S6;bx~p_-=c^VEax>lSG~gHxY}rsD5r0Dj`?H$6szM<V_dvx#$S5R2
z<CO`C$iU?ZiD2>_p+X`QV`!W@nIxD~+#1qp-xt*IksQ!4N<dz5`60?0zT$GLa2!;s
zS4_9Zry8}1ty>!K@7Bwd+j9`SqOR9-+qP{&2x>d(6XJ|hy*4r?XJ@<~uQmdwFof~l
zzS&ZFCgjFV{i#tRZkn^-W>-Ip1V>p#2K|9>U<Ct{EWudTIWZ22RL6}j0pp!%Z(-*!
zxPBTA-oa_H@sR_!9#Fw$9c^S(@gux(a{#b1T~u&I?da(TNMEpmGv~n#<m00UF!?lm
zd^dRtg3M3^_k6(k8r`Em`J5Ta$@I@7IZVD|Bq!q4sVp~X9_i#}WvI=Utlt%ttYDSu
zK>i0KYL$^MxP(PUzT8S#dlrN=94&CjIWh?8S}c^a;-*LJuGtR<muWSHOQSK0aOc#-
z#MEBA8drp-ENa*Hwa+>3?9FQ~-+0+Y=bpX!qK#`dt-0!oP4H8E8X6ipZg5e((S}RJ
z>#cLP!hO88X8WA8*KN4!T)2R@F{*wNCqY%0t-0W$%g#M+)!?j;URZtFsjDm1i#Bb#
zV$&&Stg38j)b~x-VU9(OcoYzU$z!Sk_za<{GOV;}`KIxzZR-8q^kV#dkJV5pb>hZ+
z0v@{YPu0*f-0;wiAAk%6_yMaE909*p4W=_(vPVpX?IKcu3V!k?5JNZ%y8z~!X;~OF
zFqqSKOiYdJ9)9u6RJ(4>>9DxrA(wO%o|-daux33K`so`~JtHQ!h#tJAY!4Pe4_*m{
z&6R}FK$4q8JF2r$(R365I2lp7oCa}T>G3ppm<*g3w>^u4M%FitB<UX?!(PV5wyWvz
zBUmVUI_#W!RT?a&H4f6cM1m7F1}if1PSp)v1`e4=1yXjVE_^k*3#OKxJO~UOc}=!z
zH>iS<qWvWrP@ptprpFW$Xr_0JU*-X)lwUn8-8X8rK+n+JZ1Ye=*B-CN-6{HC{qJAe
zbb(H?!^a!`kdd8UEqIAN)_oYYxzuc5dc+FZ^8R;8w%eCJF>ahQ`rjjJwLpJ((PG(-
z>Cn2_-660dIAS#XD0B#0EigjhPsy44VCv`ckhQ9CN^sjn%En*Pg5#fHa1$ey4P3Pg
zDI3Ao)oBA|E{)QU)U6xJgsznc=ClE=&w<khm@ZBmya)J1oHn3e{W)!Lg?u`zcgG4Y
z#BBl8x^sM@-W;Nh99-uygkOi#ce;i)^L`7Nql@zc_lIi^927{So$dQJ<WU0k5X@>i
zyD1I{fR3k*1IWuc1}i&i?UAwJ7Ce!)8lRVe?`ND&hYK#LH{gn<_Eb|ID@fZz6P+?n
zV}0pggLLDE_^(nR)B8RaXt;z%tpB#9`3u1rCwzq9v$|~OL$hELt^sk*3d|t?nSuT3
z`H&Rso)5d!_|q`)9-J@udp#fpt^@g7C<Jr0;ox4aw(*CocIN&cgd5-;rm_LX!Hp@_
z4k0~DVMg@RzS?nWz=p%jVl(xxoqGL?g}I05_4$II6R=L(e88cA$iMoS0f*n9YK?;_
z`ZSY|TP3Td;3~tsG(M|8Z4jUGQhRWsI`Tv)6w6F2!wvAvBpYCu2~#}Gv^0Z^cfajt
zs&kzB9Xt##SU;KSECDdne@wCZZ%DL1DEKO;l+!DI5W+;T+B+95vNPOv1fpF>i-?{$
zg2&5fnDf9T9eel5D}vn)-hGlwL$SM0ZVOXV;_eecpo6C|kim)U8Ke=$=~9_FZHZM_
ztzgbqdxraHu=}3lcprj7u`}FXgd5<6OE$nrIHp(<p3dk`#6#d2z0*6(&82HvY&8Df
zsoj|gj6sZ?-$WzPk$iuf0oES@{4Zfzd0=G&Sw(`eLjEG$KyfgNMTcjw2u8flzs}|h
zXXJ{a0UHxX?R!GFff8t78(naQKcsJEnA9K^jL6|YSRxm-sGik(BBB@7_2IT7#;WT@
zRdBDf2=I$)c(N<7sE!4@9b8m%X(+a+z9dXZiA7Zq=-_D#WN=Y^0%vo`te%U~Tx#hw
zKiMnAt-&68*3CCSq1biv-Qfm!A(jm=LX0Vv5U1-V8I?WzOUB^*S*IpvrZvVSa*d=m
zq9?*n5{6ErykLdVC?Hth33fRsSh+M<f;H!i(-rICPn+fbHB3bbp%TOu5vu&Wc*ZX^
ziY0fW86tbeZ%wa^eOXOrp|0A&Z{GE`2sk`coN<koqS^NlAi|yk{2Jbq!vynFfNUU(
z3wy@v#BdYEF)4b+s|X%vg^4YQhu_L^Nw}TjpqNdS=aiuS`@%5IJ;P=!+|FZ#P2j}S
zOT!cgkzp26WLRq<jnal+@04=po-#zR+OWxK_UiG@Fa?j*zy+E56JeTzsAVTW&iwYj
z!YxFg()CUuGXn-8`F5D#9zgO>;T9efNCM*h%P_eiKysBCb$*T0XVSvSCqT#P)A_X(
zVQ($Qxzj;4p=QxZrca^91+jgg-@XkZl2y392+gb-v6&ZdY)*~TTdfL2L&!_?^wTcz
zE+_^rOLrke;qKU9S*wmcTn3k=PONP-F2{R#_4%}3Ri~$|<cT*xPX>~s@t@dWMLL!?
zyF9TpYDdaW!l?EC2Ht8BL{<3b30P>kROmeq&J;g?c0NT(WBjjk{tP4C@UC89PCS2x
zXD3IR^;)}LsZZ{xkB-tu2&@;|c>4@a?!mOR(EylHLWe^s_F&q1kO0ducQ6f;Oy+e1
zK)XJec8$}3qgfc!H3kLUw17lv3lZ$kYVO<%9ZY*6R2+ni;$<~nnd3DXxID*en0(b}
zj?ptrC%z2KLvEYt3cv)CQ<&D-IWXgh$fIm$QP%KLwzJ5+(_&9+_UWM78-Xm7ef=yG
z9CdY2?e)}4R!}g>Y^mph@&Ts-e^(4ac`p&{&uR)vG6|U@W6P5}Aa4*d5)_SBMo=<v
zc?5;YmwUJ@m5<!4AQo;5`C{?f98e32#if?lvr-l3JJGu*<HG1D=VWcVC8I=eErA1C
z<8TbGF#<Xao-u0IcR?5)x0pEYQyDMfeASTA*@Oq7gC;Ng`6tK%N^0&WyjZEhB(tTk
z)XXDjl!a0LWt093r$RsJhLk)^1p2d<mXcpV#X*QjN(4UEN}61J762on{xVVhhrP@O
z%}=<|M>z=2w$f^}BfPz`S<b&aP^RT4L!r>IrPAmwhl)#~+X-$_&nVN$D0u1FLItn=
zh9Sw_g=Jb^(=&K8rhw$)vIr+{G5FVwEWfr)HzmMe(OTu$#WBU2Lp)0flkbGMSyfLl
zoyY>PthlY^FDv)u%t8g1mDQ;`uu_Euf>x0YGqCw+(!QiN33s8lVCkU4zLXii<9>!)
zMod?tWMT7@hKLyXmgo@<%CA~LUPUa<E+Cj>4SsNfOI?L<h&~%5@eZf5sEPG$M4Ufs
z>FMoVP;n3*T0As18M(+n<B<y{--(fYqDQ?GTLL7*Z7*LkZpwi;BN@Re)xrNWBjimU
zLP6U><RO&fC~N+~|E2J3&rGu+j}vIA114W8&%z4%r4)@bN!Jexv8lWa;GeM2^5j?`
z4-P~_Z>;NgI)iJ(lT~oBRJ%6bK;xM@q>e@mIPG8@d=MI#J|&&}66+SqO0jx$zeE)S
z$*+ra4Q*wrLx%xl{TvF16b)n(IiQF})PPzI;Mn411K>TtJTvtJ<6Gy*CZ1(xhWE%#
zZh}UEM)#;2MI-8Hl7D8w{>afi0t;zcGox!LcIl`chh@a5Il5j#Ndw8#i;!ZD#$p(a
z3KWhU4Wz!<XkY{BXoSUGJ}{#!lnU2yp|^tR8QM_BXl*!Tj(kl5SA-sz!E|xt>oVx4
zIPyim`g7##YJAUbWTMvU{*7g-C4Fi6Vw{V>q+agmmnO@5`0L<$Wd4F$t9~JLSb7<z
zn)H-2L2`g1LdLeczKOc}(An(qduR}<RMBvwHVMbbz(!0b$Z%rVnrT;^KoeTo*lyj(
zVyZ(t_)}54V*8^#wd{<RXBCc?fDG)=rDodzr6=hYYTy-4#upo;8Qop(09N=kT?$pw
z#%i2XYDYMOE@(-QkFn|2!_sL5svnDtPj*LM7wm{9#P2mw$d2#vpCr3I+yL*olnpSE
z37BH3@<xasNQmgLquztM#6*7I<<#U~LQUm7aCWR%<oAaOL#I(b#805%Uy76*;-fUL
z;HowJBPuUOuyKrNzcafcYO=|~Jr~P4JMi!J8gJ1^bg0pH2pRMEqdzF^$6;D|rj-q3
z(O8<9tsQ876K>8JzDQPNTI>QRe-QrSm)p|luyYV6Mz|3{OSq%Lj#l)Z2sZ493#~ad
z+;+ssW$bAk(N4kf%AFllm<K2HY2oBr7=k{9d3de`HZ&&Kt6-qVY|<bou3=d6EgOwu
z1f!gINxfa6r5KH9nOUJSwIhM+;B>G_Y<9h(Cs!jo4kTNmxe^h_4f2by2P>#En`Gg<
zZJFHssJ=rbTANAv37y7O;am^gcQFA?ip|d?{-W14>6d5oBgutr*4U6zbYWYJ+tg#O
zhugJ|g&)wcb#vwdxL*%mKyDqt>$kRcuAP{w!E>6;smbBd@z(CHuf7nYs^8UI-_<V2
zrp><<y7OSVj3L9$LvA-n(GBc}c6#<hc0JY6@#b``J(li>;;`0RG|~~P-E5Iw6D?m#
z-NG%>D|D&OY#g|BpLDoAAZnB0e%8|xS*+fydtZFVlp>ehhSfMbro|>l2x`*pQZ~`t
zD=m;kRUh=<Ht}}`iTCW1?tntEyQI&D8{icw*#M(RVTz?lmEI+N%c;rH@FEl(=PjvX
zyQF&wL#I)Gmn6`zmmYHkP@;&tr1x>v8hufDahJp~pS?>urOX861~I@UwQxN)lm4dH
zLsgibXr1*}ari5pl^cR|pp)yNwm#{sCqyktDnfbI&FiG_-6;7cPkSA@3{)l&JS{_}
z;f`<ApenV>uJJwfMg^DU%2WfKM6KOgi!EAAGj&qAiL}`j_)n40=;USCBcaU>$ik7@
ztil4cS-sMvoEE3eJ`0)@+U%M5i?mt#<<n*bx!q{9!|94VF}|Z&Ywqv0Lc1Yuj>{Dn
zNuFP)y=%7Uw7MsGYHcGHl&Wp$k3&48c6YDdZj2T<wN9dXdzmiPnWbZxYPd@?@}v|*
zCPhzJq~{K67>et;DTK+3uo_3tU8woPRdSsaQ^TE$g%tJT51ZhbAi*Bp_Qg;rR=0gc
zxB*_bl?^buEvA^uf$>&7>6T;$$Qof855VnCO^%vr=!21F*J8TuZG@rID6iWJH0*`Q
zr`t|))f#<KGK;z`$8ff8`|NIJAx6h7U7yXgU+(qLm8L6N=l#pLaZx%iH#8{&Bo{+%
zebRZWvFnvqduQQ%Pnz#K$whgZ@1R%n-8<eMlfjWvAJBSlu|k@?lYd8|29h61+EgTp
zGfx--t!%i@!xBR4{h{tyu$a2DSmA(%V5%e=z>;gj{R0#fTJIzHi?m+)<<oivx!q{J
zSL<!aFhxtzwZ8DJROm^i)&~3Vj+u6S)qzfT=3ARAuc|BbgHV8oZ};go0EX}CSgO4o
z&ZL8R!TqdRj`Wr%zrtQtZN>>lG(16<?R@-TQr|rjnF|l8S!u+K)*`9^+MLzylMpL)
zXXOA!=^CdvrEGZ3wY)F71`-_#o>NKzD)Q-QCMP1*4m^jioNm@Nge#S5xfJfWc2aBx
zdtNjGdBhmY;1N)1pO(Q$;Zr`#S;_dc3NDoc!>@uqhZ^)-Egz}^SUxnvq+?_lO&01o
z_CVca`DEQ3STc449byHUz+be2&@aylBE_$)2k@#^ZBKo;J=GikpZ5H%i&L0AQ<F)P
zci}j=E@96YAcpKt<e5j#ihv^P^V6rK%!O~U-LeQ<wm;f)(yJxw^Ga5D(Yr~PorUA^
z9_2RgWc_2tjpNxw)3l(SWimiq|80Z(ry3~EBH}SH+zy3e4GbR+H^3VhWCM(W0aJQo
zVEB?#)1$oTe~~bB8s!ZP0u6i8HfLzHB%|}}Hm+J@Kce!Yfgu%=<N$(!lYwnu5YbK^
zqYW2w^&ee>+I7g)zs4b;w(=YZDb&ezP+OmLnBybnR<(<l14Jsp%Ou9UN}x}NbWYq1
zYpClIf`jKZ-W3#^UC$rMk*@@%8AuMte+s#PZonRh&G2EeaHI=J^&PYs&9doe8QM%B
zpy>o?Qm8T~;xAHV=$A*8Nd&pwY=$?r;6%qXyxBb2{gDo>%v{o)GNUQ-t1@>SO#4Mf
zl`*=Ir^r0VCv3Wo>PaW<-dk(#YOSuUY3!%d9IPI*C>=|+y)r*(@t}?S`9awT>o8~Q
zvYpvB5UB>U#6s0|jWDTI`vr$NC!M5F#-BF2S8Ieg<t2D4?q(<oDoh%BGhYn8YE1oU
zH&_og=+TyBQ%1P7|3F47+yJjF$p#p02~*6e+34?~z~rK{jEMx(?4IA^)Z{2GhK3Pq
zBEdGI?enjK<}*tKuPq5Q>_x$+EnUG?YxKp`mQry{HXs;1(3U>YHK<){OCOCxKxs=H
z2r1ObnNVAww54NnCvdGRiQyq#=`4wGo~|^s8G^s@$#hzz>utD+r!u}1zwEEn_u)lw
zB8Wyz655SWw3wEu<hw}NK=KcgK7NmDvaNC?JO@h%-Rax9bAD+wEI|qj(48~`r(+kV
zJN*Qj6uQ$-@fYb%^vkC^334+o3#VtwSatWLny-=v@h8fdLt^rkX*jGqk3zaRLlq_q
z3V)|5q+c$DV~Z8&rQ_6}XYk}ytF7&>6>&BcZ{~>7(ZH#3PE<zoQAV>tTZMz38R~e*
zhw+b|4pc|$J8Lr&?P0puih{Y(g1lwJ`VCiHy<z1bh{>pvwsFmc@O|e5SP|=u;Z_|5
z30_jvWv|_L>S^x(p}=?x-khw<%0TtnF*P*-O<mQTsSj3~wZ<r%0cf@1(#6&Cuc1x!
z5ncj>+dtsH6DXY5RoeK}H~fn#8<fX?R?+fi#*)t$2LbdNFaOk1Nh;eDUZr@DQz}fx
zRjUKq<&V^*I`2K0v}Vr$%k$4SXiL+Har~#Ci_LCBd%OmTgSI;M+OgMJre_84^%lU%
zaaav0{Ha^*N#2eML!&p{rtq{J3g15Vr!0kU@KKm*!hiigL8hcgr4jrq!o8CDQ#E^u
zm0z)w^VJ@cOM+wKQM%Vcp;!~;mT&{S(k&Zclx|G1Cg8O9+Iz_a-!L&yyPcZ+%Y3ZT
z-GWotrqVt3lg{I(_pcVK=?2s>?gLKVMc_HD@!ED622i_V-{ZSE*w^4*E|&)Dg_DJP
z8B^S6e6cz2tznu<ymul<wN)B!NkLQYc{B=!!G9UQ>SknYq0Xm!n0~Q)_{m@oJ+gI|
zAS`M_`=xLLyllw^7}>&<-pJN{PE8KC8=Ju1%GS3DJf}5Yw!$zJkgZ<^`x=z3TpBFd
znzs_wK*e?PFPr1$zuF!_8;PWZObHT8%G4<ZHP(!<EzMM*y3eH8P#hD4!XtbGP$+g`
zJ2~6{FMP5AM))wLH^R5psmW#nb3*K`@SR8CIj!-+7lxsL@NEzFH7I<!G+4s7Y^A%u
z!oRgN`jTy)Y=)^VA)cZWCB<_fus_U*;^B5?C5P^3yTh*wcGx3?uOU7%uPgDJbZ-wg
zzzd;lfDuAW@d)8u+&qh3XKlJ7(eC?QPF;>*6kh{HBl!yEhY3HYIbIIKNEDF6dxM<~
z%3&@ImK@GS<Aq{A@rMojgJDWa$e19oq>P>0otY&ghKtSm6b|-B8;}1E;^7g&Ul0q$
ziQv4~*fQfV9xsBj0Y(Hd#Up~NMBgKfR1&tVpf0hhaNIBh;hq$iSf{mo(R~t70Qv_5
z3#M4G7#oD^6dxRNoztV!ol;R_6D9)4%fiZB7JOm2>Ed8!-Vx=u*SXY30k<_wJ<rs+
zO=p3dixyUA&?due7e`Js(k=Jdda<A9UKu98XV9?^UcNcpcya8Q2QT}{cOMDU-!t&I
z@Up)Ow;h39jKeg9p0mdCI!k!zD4?@^FWBFp&XP-mt+VJ*7ns>O<bN8bq=e2Q2z2l?
zMo=05Q&U)eUW{r?Ju#`HAT6032DXr1x~RwIC$}F0F2^&_t|Q;V6AlV;KrfM|7Z~*L
zTX^d+z6l&)!WO%Fdz?Q;2Su6Q!0l4ESk_q}D@~{G^b<gJ^v%wSt!Mwvg*~Gq`3S(H
z{7lITY*M&np4&wi(+-i(uHtmWRwAm&=YRxpNDi#sCo{fdbd%o+nE;fhL0y?p6N4{1
z^PBaZqf;XXlCNT|3+b;(xN-eJauO8nEPxMm!=`dla}P2>pjqR<Ey+DlLvjR^5|6qe
z4<+BkTD!tVnDLj-7Dpt>39_Q=>o@H{*eART?`+5?!yk^spLCbIaf{!@n`d?ix2}1K
zpD7&`c(SiDoqnN<^6CA_$_TtKNgjJ0;L)q<^oA$72&o=O)=J`441&$EOwVW4XtG0d
z^18-&d%QM*FA-p<jmKjv?qJj-P_R@A^i=}rO+|rDuEY{6)*p&%i7X7WclJ%p{1*fk
zZN!jYiY8L~AM=x@mFBRWMF>@|28>{#<#M6Rya@sI!c<%QNz98aCvBw)UPF3&W<5kh
zq4e0#owdhmZHVKbF_i^H4zUc`4`Vu>Ubz%FUu|Gs9u187)`~r=;{2X0Aj!KPs-q3;
zoJ!SMMli|R!Rqx;BKZoaLM>(D+G^PW#(Dc@r?Q}gt7kE9CF1;9&E=-hvzTvzii7Zw
z<5y#od5R_jjpr#ECf_MV*+vh4r*Kh_S(k!T_rnmk?94ilyd(#7WFGlQ=3dGgekAi;
z?QAU~IZ((iH3dAn{})hb^01$mg6yEA<sRxVp0&<M3nrN@xkeZJWx6!<fxYnkhfZaF
zvT-!zBeMTQ#QC$D(vo}_GIOdJ>1y^ph{?Y~-XJ_AEgGAQv}B<1NDGti8TrzZvPvo`
zg^GccxGm>P$=7qhE+{4IGk()lT6FYaWu^shW5SuG>6tb>2;SaXhl}iF!TRVT`M#0R
z6{_|^!+2liT+O6t9BCzf+ATI?`xz|ABT9sx4AprS98Bt&2%Y9s<|o?_p&=s9pS83I
zodFdG;UN*y*knW~1C2+7n0%)e<{v%&o#JIdm|Pn2h3Sbouoo1j>ut|xrHY<FQrT1_
z@9GL{aq6omsGVYK_l{3YRN$?!J@uxDe4m7OXeSnpH%9CG;88*GK&@Dj^b6=B1|D^H
zO9SNeJlE+eWzYSrfhWNmkLKVYXDPv}6Ugk^g-P*(XE;{DI!0broA4W)>iqI#h~7(y
zJb%{GqIV-y90Z6&Pot9&y$m=W(PQ$BJ}UgC!S6ge?SY89ea#o~9XZ2WP{iM1dQ~e`
z%SlL*F1~=QLa=-V&M3CgumNJcqb^oa+_;H66Z_%7;siWqfH~kaFvQ=(Q`O^eH|*Xq
zSYO+Fr-XdBDr0zpxc=gq+C*h)dU~qao`Eeq?Ex35Yh}e6%r3#U&sWX>_D4OEB>$fQ
z$V{p9%SMpBmHdB#Mu3%nOfp*v>#mNIRQAOAYIo%xrvZOgj2YqUM6f?==^5dhP;n44
znh`W!nHeDimuE&`^4;(l^Q9h^&SOmp%pxv6`LoDfIV_QxMS@kThf~`Ty1aa66D>?R
zhS}u)c_2*#$@Yj^)l-g;)snv<WmXZEmguKKHjmXOrc2$YoLYckViYE0eYF09IM;;7
zf;ogV*+;UpB~jUXL#MJ%4Al#LJ^5TZ-z2>}>D_4d!+~nPrLKvdxwoaQdaXSQ{+UNP
z<M61{3A)t5buK-Gnmq56o)?-c#z=Ug#2<R5pta~Zx|jS}rO-*B6rtqVSPh+3N>2jK
zsfwd%UM5#)qdSwUtIJDTt_pU|w2+w#j`_G=j2E5!TE^)T?IFbzCL4i-kdsX!ppG4L
zAfyvrQi0lf>C+`r$*tRYT9B(?_N6zm4yyYZf)q>N*>REua^2D^F08jk;OfnKr8WVl
zqH8<glx2EGT6<~ovT4~$UWzRbB>N=+YCiN&J%}-Q{$|x&LoUrd8e_vhdHK2q+Olwc
zL08ITt=$q1N#oka*3hCWX4-r<bJc2T_<LMyI$Ez4qjhu9(Mn!}C4>_##i5iFZGm`9
zy`?;8`fp7o&DU=)LZWh?-HwHp%SqbfJ~IZ-xDG25B_pF|fVDqTgc4xwf#gF_A~YMK
zk|)(Mq&QL?dvipsQXNx6q@*#OTN$5;I;^ke5Dj4Vuzv2v#P<P>;<WyE@fY1EK)>A6
z`a*$PF4p4G2ljV@yp4>(>GTF1QXi=gPt+T`+GFMJWHKd@cHQG6=|kIBb*Dh`WOkua
z-t1cx_?GCh=GB$P%;fa`p~h&f*{tn{<M{O!+z9|NN@y<do%M$!{f+5~+6WxjH_q~t
z(u&10O6vkNSO9cdyw%^fc>fo$hq+<!uNO*rLRIxAx>V=$v*1+z5I-6j<#m}apHOFg
z$u^>odtC_8@YPf)uE`?^v7_K_MDFh;`$(=ykDVXQv>-F3r>*B=CdF6c4;zAIK?rWU
z;BgR&1^@G$KsX9Y+Y!h9LqJatwlu~E&B_LtP<u=<rNOw@X^ADYqW4Z116ahITsADL
zo!b4f=G!0G?o_umGt4`<OE{AdcADoyZUt8UbxX|(7)^RORcjoqUSiE`89suDKAQLx
zE9t*&*tUgX<LQ2Zpv8#z_cPJ%a05IO$p#oE!W0h^&DB%2YZwLI5s7x+U+&c9jF}le
zX#`A~TS|vzL?h9hay`N5v>HOZB&RIPc&+Jzn+(e^K4xi;VNz@;-xr3G@6@}f|8b|G
zJ`rw!XCv7F!$z3mVWTwWBRc~z5mR4xYI26NI1^DD(LD6mgrU=D2=0<R^aM^p%5cyE
znM+SP>TjD{ejLV(C;vy((>QMVO}GJ`TVw+aw_u8gTMRF2mR&fn>k%EhE@$Y9^NVOC
znqdxu_A}eIAmScC3Y-WT4E8yAA|yO0K!bfEB<~dKxnW95oCpyF7Lls_yl6t@v{lE1
zT6DeJ7VLbC3AMZR?gbp{84T~(PdNlq?2>;29llTY)1hJ;Pj!dmEZ?q?{qH~I<}=sE
zx^Aru!;yNXc(;|}aqyD6sS5bm>)^ZJwF`pba8FZdjn$?hNT=4SOf|=MjW@tQkKeUD
zu!lA3<tBM0@;uxcAI<v8ayz@X-ZYjklbwdK%pL@&_V^^gpA<n@nKBPxq2+Qr?lEN+
zKM8O)v0Jq<t*k&4YNDAAbP{FEmH}gwpQ6L+O`+4+VVSvm@=ru}-VA8C4oanGsL)<2
zqy0Y$37+6fOtMrFN9(ZTmlvfND3#3oq{W1c(O+|__G>0cs*Gm-Ya-R3)!b|siv7PE
zDh`50(H|PAO!P+vC{OeUlW%1#t7!Z>(M4b`a$8K-G{$aCruGl#fQ;iIWBu=-tl?Py
zi`0}2kKl~7NjUIF1rDEy`5TXv)keT`R+*^psZSWeRxo`xMlk|&r*LgJ@ypuCAoq>>
zZ;cdj+T&htGqIn2f*hd4<@eNQHe?Eu;>E?VAn+E0Cq@%)h{#b;D5G&3YL6)*$@hTZ
z*ns~hLB&CUNJKO`84<~V;}H=i-x*~XMl(UDRB;d;my&$Z`3>=gpTP=>&XpNcig5q{
zUVDVt#JywVBV(0hYP>-K$uis@f*N<#Aqcri;fjl7HIScMZy0k+tRd#|Xbuf>juNeP
z#Jj9$VN$$krB)U8B+U+|vhaY(wP%=!^JgtBSffyJ5FQdNjZH?dGSGMgi^+Fps~i`l
zvQ@SQ5HFXWeDS(CX9x<4*J;vTWSj*6Nuh{fSeeFm?pN+SyrrBRcAWS`TA|(=&2vFs
zP@?i?f`SzlOo|s3!=%Iq?%(B9=a&Fu6}pqi^JgtBEFXu8g8-4RXmm2dk^#pfEKI&*
z@|Yu)irlQg{%#BT?0;(xs2TPTR;dDA-ygAN$;b-aKt)DYypgiz@A`D8iqhd!D2oP@
zbhuv?V#4o>VB4Q#p`87m5xQ~`Y8h1w^*?85XlNDK4akeHzYLNlN@;3)V-$Jl#t%3}
z;EODRY3VuYj!`PVp@C%nAKCKkmnvWY(%=t;5+NNB8AT2$VpM2I!#pK}Wt1(TP_T?L
z2I(Qo2FnPAHSloR_kit0u*|7|fe4nNU;PP|*(Fbh;WMnTl+KK_XYi$l8d#h5x5j%A
zG^4|<uSKf?yq*#NHn<slGZdz?i>R4*`HYw07ON`02ts8nZ+s?%#yUo);%cnR7s$Qn
zzPI5<)1+a|E5ej1(ay_e&rj=uG8&E)xk#7oe0erR;N;=wM7nJ6_fQL^%!pNZvady%
zGYx-PsB@}eH@?^-yj_nH7wqndf4LS4#m2uh!VU0VMA-o2G{Y223ru_MM7Ge%>lpSx
zv2=3TXuQ&?-M=Q8nqDB7!D%hp!FVGf>@?3i7zI}T^~;QZxrVAWc&az?FCPrU#?$>?
zK}%Hp%csK)@Ju8dV3-I~JWOO*ud=+u#lPI+)a8ts$3zuinS${zUn3ZuRzrxF<dmbC
z6)Q9GEU_}F$;bI>i`-Ac`0+jY59)MW7{l+w4e-1p8(??`Q+mZaN4>$W%NfPK^UmSW
zenz1VAzqSqj>;-FS=O=gXx6d6+N|@eFnoMRPNP1@vCi6X13c@<1{l`C6c6j9mc8t(
z!^BIyz^SQg#wivrwS_Qr8V$i+l5Y;z_bKtQb_Fg+x-N_uPy9aWXB@A*HrxQuE3yHG
zS1_eFyz(xmCTG}+Pcp@L<?V!_(`X3pBD|8H7o&jEok(&u&fciWcNqnAcdtP$xaxnE
zL)92cCklu|AjK{@A5iI26wsOFHqt5@NDdf9Vq73s-rT5~bJohJnwdswz0gK)2v>kG
z8g118>(|80WCL8X!nmO$X}YXMFICCUkXIlUEt+M7y=(dZkZrSwh?1R$UE}%cynpB6
ztH$8+$Xcs4Gl};O!R117EcQZplXUJu+!F;t!H|KU500P;SKuJI(A%}$P!Qei;C5eB
z!)uMS(>=Z0qy_Kzj?|~yblMVINiT^ab+t8AS=XqH;3dphO?w>P9~~K+YQe$R#{Tvg
zx+8bsC1kac-MgAoGmX)~$`m>w_l`prb*~DRz#{UhvPIZVvyPVoV|m$*(rW&{*YQ*u
z{vf2`_eG^4`5l%J=Su%WbJL>`lXc`D+bglNlo^vQ+MlJ3ehC&@u4XS#vXh6wc&|7g
zZ2zThXFXTjbt+ZMyh!0E%1JJK=X>i-IIk@(_yHlBnVxD0o!gGeG7Lk~RbhP5qejk(
zXG8;Gdb0iv#)^&4S_##8;<GTxQhpqz*pAO~Y%H=H&R4rD=Q|CA$5eXC&mn^SSxu8r
zp(w2jpyD88<owfkWt@K*xIE53Cf~97Orw$OL}Z3_&TS>tGklR*PtO4s<w{0o9ZOlm
zky-1qky-q*fcIk6YY=B5K!Eug{2Xx0WOHg##Bgx}qoc7TpXt9fP9!Y*fl!l${cIB)
zdF2<Mp?<S|aZEB>a?fqq!eZFB_~@)Za;ozaj>95F<8?%yKdUJk$ri{Q8=dvXkT(br
ziH1feBN`cSJfgwmdv;l-(Tvb3T?L4dOHsZUHFE}`pctKF+43rBnB!z^x}~m(6S2SJ
zAV-Z6P{T-BtM95e*}z7}4yYz-tDV%JOk(sm&?l3*{VW#b5+z1oCWu%u!X&e$F2(2p
zr#e63h8TU9$n$3{Ek^$c6$b$#G1BN{#3%!fM~s+!C&aN!Dm0M=Kt$Zu@<rsYasVzU
zA_v!P`A5Ie=3qY`1zADK$`MeVM?b@)cv(qpn{3o#)v3%+wjn7e5OMyjr6uJgs5l4@
zNs7iMBPkhZJd(oXD}3dBDl>(Pg7ml)<V(-u9MB6&&trRA{`P3L3$lZfmTL(cc4fh&
zo=MA$Q<+}`3~6Z+asI5OrDZQv9E69YMPrkZmJBo=X<_mey7oSmltRToO5B$7rQ`)U
zU}vNxSfvVQToJKy$=ElvJw(R7EuySF3upX7A?B2(lFwnG98-y5G<<q$*sJWRP0ZBE
ztf$R`!h)y_ZE=}X?ug3|Y;kXqo>K7Q-4Sdd2M`e{G=O0alEI70XjUkAQQ6$}05QRf
zTY!l=f#5|<7r~3ahK`BgMf%mB;Khv)PB>C;^)gEFqVA#;B|%+;BX0M3QB+@%z!D*c
z{&2ztnrLyel>S=_3+>O2c$2-h*=tNVK=3eKw)5fH5Fn@#aUubqT@rj@T{42PdULha
zi5k`d5q-x&q1cGNXNDW#J>9Ya#?y@{mU`6Fh`vjm+HD3cab1IBSB{S8yO<Dmn&<uC
z0xSQdZbtO2plS^!>P<x7WEeJ{?r}j&R7BrP!wv9EBpYCu2va;vWLP{MHv(wuBGI1H
z-ssfjjG5u^G4<x&MfAO%V02myAzqSG`W4alsW5(gPd-MSjtjN<a<~DWcVq($?_f%=
zc;~xLUCt=>op-)NFgmS<5HG?z`FSzgCSBH(<%mWPqHPYj)gB?Ie|<;w|KU(IT6Lmr
zI0RDclKD_upQ3G!$<Y&aSdADN3e9*t4iY`4oAXZf#T(PJH<h(2(Bd+@++b~^aXCIB
zrGsqfIT`V2lo4u!ijt16=~Z=l@=jJFo4~#K(cA)CaoC$JpKa<V4cl?DmsUj0*_&(Q
zqh@duB91S#O5GJ4G&}a2&+i&{kL!Wyu99>(&J@G(%%a1QoPi}oq(|DzM<LSVc||By
zkscReq2+R_>)Gu)*U-RKw>02wrma?}2c8Indzo897sAk9jE@X&qv(&=>sHX~=3F?E
zdo#~SG%%(yumYvn$d6%2@OTz5$y$pYmCbf$&m(-4u}A);8IU%p`<x2>ONU`Eogo7K
zSxvpKP^8C8pyD7zWG@x?SY1snJ_~>mTk%7-I!@9zmg%D$gdo1oUPn1>Eq-)pd3PCF
z-cbPW<n@p_Hhkc{khc`xojHU0UUK|tGu5A$>0}JxN4m1DcsrY5Q}m586nzZ}WsZLs
zYK_U}g<!w8EbPf!3^w29p#D&qK1$R<?Kh69)69S=)>Py1JuvyAFRIdmROoIix5ZR<
z^hHozn=_Jz&*24>H5@^8u8N>K`DD5);L*F(>WBmOp!nzDpja!f++k21tu*s058ZgH
zE5?}Wa6qX$mC{izRUG$B4kh^`{&?z{AD)6EeuOjP!ZvA#it0!=xen;Rb^l4O&T{(V
zr!i^>pG6%7Qw=+WnCc9nW73f(9st?Rn-B8oy#@K8h^QKI5bJVyhSl(7Ux~*gYixqL
zhGC}T&2syk>imS8njDem&sutk`+uwZ7C5<zDsRa<LlQy|6o!N*5tzg<tbz)G1j0iM
zfe=V|8RF2H=}Gs^O!wH`Lox{Lif?EImjMBRRYX8ULD3aOe6GtPpokA#U+Zf>pZLH<
z{d7P0&N=n2TUA}Ry9Z|Y{ixjOd#mcysZ(|S=hUgHi=g13{4yj*)r0V+wU5;rpMa;B
zxKAT8KuV6v*bFd4?An?Sk@K4{I5iIiixjKfXGiEWzF3O(SL9;p@l5r7KNX4Jll)lw
ztr2;6&*!Wz^h+5sfv<MokC~d7i`r`U%f%6aYSo*a9$6a14Krh~wWU;p8+qXHiowzV
z-fSdq%W5U7l9^U=g8+R!3r}cW{E-L&;$4lr>u^`^&dz1Z)yGB(0&5$;Nsf?idooM&
zM3?^>GsSngHW6AArf0ok+BN1p>zBh;XFIM#o6mR8H1AC6^uIU%PMqX~+{@JI;R%KZ
zLkPc8reFx+DV3e+2!<f*G!P7d?^!U!E1=t0Fa$kKOfbZ`a9(B~-2>b4n{rP^7Zvyw
zTRgf+66OtyXxu)Tq5_VG{ekFm+sL9zD%D=C1r!l*fw{e_r&tg_G&cME^0JH`>ZHCh
z`15G5J4I&Tth6On@z&hM9l8bh^yryGEIH%VYU^dLsn$d4w5++3@nY83elh3#*U9F(
z;wi!*E{avjRxHMf9NEL_bViH1>&*GSN4xT?OBEp6q5otyq#kUD=cuO<$P^nGa#^?n
z_qr^vz_BiiZw&iE1%{}Q^0bPicV^44vr3B7kbxEbY)2rB6A!IQ-HWn}8-5ig#vxv2
zHsmT+bKi+?aZ%PKh~^OpOQI&5G`nXIbTaw<#ZL2^RT3R*^8j&14<^_mhDXYI{;e>r
zZlUEBq`9$YYPPnWnBnTQ?$g0qKolJ{w!x>Zl25kx_31F-K|VPKH*(Mz+*;Jo#gd4N
zE$+>}*34y%saA-9$t~TD?7Cl5sP_%m9no`b-<{6HuIcO`?oM|NdX+gj3A$i{;t&pO
zig!dL!c>9~wC?^IF1XH9NHoj+;FAmW9I0pYo~NdTTxDBQ=&#E~_t?*+OeV*nJa#8*
zqQw%t5E$){oQy44LXA0^XAZ3bq4VMfxDFNS5^aY<wo)N!1E}e}&u2lE%m6wYpXlCa
zdh!@RoLs1><-4EHL9nN;u5aHGlE>Gc+P)2>=<*su{Oap~eX%Jt-c$`e^w>89E~8aB
zOt(OAjxZ;3tI4YHhlDRM*(fGy`)4Vk<T0rP#WReacgVbryC%OWsMySJZN5dCf6F5H
z&e*B2e{>$h9#9pD?&;EgGP~xjlD#g&#$yj$2AN{*f$?w!Zf(sga6krpV?YLF4=l8W
znOfiD((L%9g(~i}3bs&1gl4y|^rK3mVc2acp8DbH17TX-JmnRnagM`QdN^D`c4lO=
zmD0TML((6GNe%MCAzxUvAzx9D^bb}pOL$r#A{vrTdyh%6Rd+;RwGByGe<@T+5ejbG
zHaxNcPvxeoBa#}strjyFJed>M0l{VmZ$fQKgLxC`hDup33%G28mxU>5;U-i@pv6zE
zBZX0q4uDHR^g_r@e2WeMrAw1bP+~g}mAx_8_!hR-u$7PKY4cR5Kce}<8gg+!@i`d;
zu1t_MbZ{Ix6DASwAOh$`KD#)rjULV1IFc`9<z>K*!XxZNBRr9g-Au>gvh#!hr2*1<
z0djCA7otRTC-rE-;3mnGgLl+7ujkE#zM1%&LEn*ur()&tt(a-CkS7={j#KC~89G5h
z#as_U7z!-L2Q*<dd4f}a;H<1_2}1uZ*<#{k#TV-kl*bO~KS}u^gW=}rhU&|a70Bg`
zHNF8}fIi))k&aKnSBAc~@R1RK+n7O^j+4*+FbTicD$cKr(W2%DXWc{O`9Ia2fSDqV
zKM4f~8AS0Zk~^vRloWG30a%XjdNWFlWMd<1PMB-#`qhl?i<Nv&6P9D|@PGpxKap$C
zZ=z2-c9O#Hpg3JN{St!Y^4OB!V5a!tzDUNFz(u9t(h#S1!C-N{Qr+Zw3tjPS7Mdvx
z;D3o};kNOvz_w-Til87QJPbfg;hDk!gie;MPJ6+U{{V7BXCmNx<^@}Ro$!LulgA6j
zT|m9Ur2tbUZU#8ulJTD6f$*>l{?|}qV|Jm8^K)$+HhUDeG`0>^@&kQ%uwmaoskWni
z4;XW7cFGTCQs?!9O?H@IH=|ipz;+)lGz)^0_o^fLdQrs%#CaWMqyl$_>=44!m`B~m
zdQWb1Fn^Szos{wkAf$2Ak+3;1P~cdZYfAQ<iWXR4c8D-c?VnAaohe)Ia<7FwpNezI
z8CZ-JH!x3^2u6)^9Hw9D9>Uo?t7wD#+a$giB;Mm29Dq!*zQGH_6}a6dyaI>s2H)rc
zs>Mi<|A}Tx3*UjBbNIg+R!M&Cq+_$d0&O<`*V~DQR;6x#3gd=f&xxUku7V3(#cB#e
ze2cCEm++af0*AFS0XdwpnaeSS^pl<Ls?796`zk&b$A96gaCL#|=;SCU?YZ_<SW_Tc
z?gOxOdXg{9SXA?6&ttgYIK3*GLEL*Pz@{7uyVyVtCq~op(D@v5qM%;RRm$LWsqK)i
zl&smLR3|?`!n%|1ary)-wWb4Y++sK2n(on<gRSX4AsZLWCf0NXFQ5>qYLuuUu<U8N
zru#>zlA+nB@QK!R>B)m;Il1ku>0Y3EcBr(iny-#^9Mqm3H_J5#ahyOuuDyG5uWqJT
z%@;TW3(}QnuJo88uW>w2g;TT-apzrcA_)KB5xNo~?i`t`F-1F3q1-(k{mgcpJKo4S
zi|m7L$%gD$SFteJ4~wy|?p!G!Hqf=+=qPsvW)cvW{b3UPvLL}8e0wNlip96bhAVL6
zTV8<!-{PCj;M=pTlKgT$A^7$T;-OWk8{aZ+n7T-Ja)@z=_;$IgSWQogZxP?R1kS{_
zbfRDLtqty3$boZPF3%L&OFP|lEz=c^doPOX7lC_SU84jbnFggz5bj+bt+2#0-Bg_L
zY29ij7o%qAccmBo?kwT8Saf3-$2JoCX3HeyJNY0I)t!8R(-x0>XJ8J7eBUP<X3a0!
zM1byc9?dBD0LWJ=9wlsX$oDf)B}2aV;}aoYdh#J(Ms7RE_gt8m@O;}!wGTt@;bM+<
z_F?7nb#N5J{bq&b<Bc}M8BM~xaF_eC1L)DaU~bodXBib0f?42r4_+SoXDM}rUB1Po
z#w~JTKiy+8Z{y>W3B&s)Gn+qzwUl32y2^TR!E}{<UdGR4Yk3z&In;h*<?@fs2>~2P
zbZFs7AOl46symaPBGndq_Bdojoq$)V9wGqdA_$$eUzsvC;|3GH`FYTc95q2D4+Du4
zqzz*Spzs1sP2neP_$U`ow>I=GuxV;U6aZ>O3XSR|O^wWzQ|)*`$Fa$}X`ng|0TE%E
zqz9i!lhBh#lkg$f>Wbi5wfu#JzIvrY>w$75@RYW+QLj#wSAjI{oJ@0V$_lU=L6b;8
z*{$+T);cfJYk)E|QCEQT^gLpEGJiBDrsIPXQ&{<}k$I<Jhp6EE^m>_gns)l7?q-mS
zXFM!O{%tb(Jjp1Rcf{jtI14hxIvci!D{wm-cm)n;1HS2uv*8k}B){I95ZymUJhUox
zI~y1`%z0a%q=jBaXTuq;Vl^8>e2dNoHAs?;$PAnfOlJd&EA}i<x`K{xYn!QUM}6NC
z#{ps1yO^L@og4|JO%RZINzCLbEPCEU1PhMlOm@S9<76ns!J9yj+Dk-q#kg~6DE4zX
zfh3P0A>GMWIX!MGMVC~uB(w^1FvIvk*%)gqXhN$Y8qsz@G*V_&cWH<waL&n3ph^a3
zeu_^7XXwcTXA(wkJBIP5n%L&o$-7@((<Y#iH2LAo9g`f+XiaDaW{&cXH(5x}iWNI{
z=BwLlt8#10W3=7SiDkM}cM2q<|0G8U8S($iCEPtc!Z_xyGH+w5^@Kt(^9`;thN+k!
z$J-uryUnx}D+HJE(d6!4?==B|Ig120-0T5a0mi7Udb3#Pi^{~GW`zd^EA${HUX`|M
zYn7;Fw^de)4hvV{Mohc{2V%lEKEwn<&d6|hOYoi9@{_EROjhgjd@N$ZI->pcYoYqo
zo*Fk|V%#wGf=-`6L5P@kcNMECAMq_BCN&(BE@Var5L3BrrnZfkk~j_s#N=XvVs-Kq
zOj#3zn3gu5!6jZ|{X=-^X+DWI!%MxJ;8+CQill8PG0rmNfi-NFkjn~Lv&lh~jAP$-
zC;uER0s=q%54MQmrz?5p)X308Si?_(7l5Cn1gp-A!%rWADj9yd6Q2k_(UT89F>(Pv
znKkJnQX_HxTf~HwEX7A0WM;;m<il@=81|VID(rGt;cG_WrzC~+WK&q2C$w_QCpesN
zCR{4M3-2G<C>B3*?8LMjtV2a1G+5p^GU~(LbX_KNgZ996DY8ug*Uqi!qI&Y%w^s|>
z^L4n`p>J@s+)q*6=s>QG43+AK!1WH*65QobAM2}B2MSeoP6M3yRvzhvYagoB{1`v}
zji1-BGFOHBARw^6R?pYr>^SyU@0s)?d|E2kA*C%j7w77uBSQr<|8i1JJw>$&FpCBE
z3*9OHltYRD*JFH02sZfjl$hJm!TyNM)wp>wf!=gK@erp=m7y0WJc4TnM}BT{^}i&4
zT%Mwy;^oCF4A-&X?Ii|plOJI*1l85r*dkXOS$L1@l}Xo=P3XF@c$1T^D}8h+;Cj_$
z8xVXvDDZqh6AF0-1#uVJ8H7-zUzlv3exsO`UES}2z0X45#5xN13|HWWy}SYk?8P_6
zT&Q>;ml7S}F!auB`5|G#G(8&&du#Qo0eg#2Hs*|stzznI11k9^Ksc8{y(z8k#=BuQ
z0PcxBzTm`QTZ7hAQyPrp3ubejBE(PrZSwx?Fg-0CV!+5W@q`XU#I%K`!QYwqs^NB6
zMg^D}ez4rHYf#a8`)890l^_#5LvII3kABXe-{QO^T!DM&@d_M658rr(-ix`iPay`*
zsk9yH+Rl8nRe@i@M~+BViEfFyhvb!vsg5?|8>7vdsqa5C@J=h2)etx1!$iPzn`UB{
z;<shfe>O}(_Q_4Js$GVfs>9F5Z-yJuF*dqZJpMaecLW1t?Dvp3T639OLxe|b1`RRo
zCR5N&kqv5yrZgBDLR))+OE<_3Yfg(V3{%pAZeRpj{M33ds2kR_XX~U?#XP+{p(xBB
zO@162<cCL1EQd_yF!QU4qr(-rhZ(QHF=gT#W6D$rZF#h%=+ztZjUudB?+mMIQ;2mq
z5UD_{+L}*%r!l@e*n)2iwnS-?qLs^Pk-KlgL^w6cbg<biW?mGoS{px+%%nQnWuYn5
ze%<lzF!dc{oD0W%AY6BL&c))GrX3$8bDs&5-!azBB-fB7b&rHA&(1qu%X1}nKMT{}
zG3L26=hNZ3BY4+3W?`ad=~y>r39F6_m}Sw;=9FqqjzP@Ql!k1W<t1TCTEHxfK#QMR
z52i6o^KWsfOSwap%TDD?9t6|4ldC+%S;_TqkaO~TG`ZRSZC)=e;XK5>InE^<{j9n5
z81e|q_sp5H>Vh~|r;L--W2i6S*kYf?Y+k6Eg49pIs&!VUDg&%>V#nx6J_76!9^Yg$
zR>?f1N4L>L)gW@5pKUe7949@=eLw=+a1HLNLmjIxxQcTZJCFNJC@bZ?(&Vx+t6CTw
zsPvB~U%^u6(qF^*Qh7YN0J1jV2FF3VzCkSWxbD@3SdH@dJCcW?gyba1#g17+8A=|-
zQrqGU^TREk0;>TuL{JLtg)$w<VsmgieigpsYlpAKM_4ZctfZpGj@vZ4jjgiiXT$3Q
zBR2>~4QSg9O6Bcv<{m79(Q21m7j3^FY2PGoKuWulF-~yvl^x#NsnU7Qp6FRuF4ar<
zq0&VKT9!_)lCVSkCCB44D9&EaIQ#ajoK4<_IhL%S4&9=tcbqoa{M@;&jj2Q4^q(ZH
zG)LW-g-~(&-1V4gu}~;5OdN+zCV%_~HNiqvxPL2r74dd^EhX0jo_#u)QhSrbl~i0(
z&0*-}$jHzbKCtmZXP$OdM(ZP^b;yjXtYXbnEw=JiQ1imu^l}YX2k93k|2`GXKmCYC
zb8^LLKABA;@?IzorVrN{miWprWG%m>d4{E0lyM$?^oUiMshX^LPMl!*5E1A9RM$G0
zPO$tM6dYs^E#OGrq)xC*vBq<PrQ^HPIxAXII2s);7^VfAdIcXb&cy07I&|@#CLM-?
z_cRPsDEuSzX?TEMZ?3lFdd@1tINXA35G!-#(czIX5x20FMlA&Uh#a|6EeAoKxqOYL
zUKi6>c44d#MM7Yt$IfD@znFuw4PnkMz(uIlf;fkVFZtw#N8z;EZ3QfsK}&N;+lxSa
zK-)jd9;4}S=D(PO%rERgc@@KXHz>|CobgrsaGpu57H&)amr445R)K!fvD^8fv@aq8
z{h#VXI{696hzm9nt~BpONcM+<gDj#U&G=)?T*<4C0>&^bp1Q&7<*l@lcS3NwWS$;g
zt;@G`d@D5{J5k&{u~qIirmd8xK;ok*La%M5kumI@Z_ExtjICcyT6VNTOL3wYKHMt9
zlj}5bwl7+HQ!8!c{03L|a;y9BjWMNo)S%<L<T;$HWj{Bb%UVIl+3jwwK%eQX0=-#Z
zgUa<7ODd!>*)KVY??b&-M_Ul!EoiyXT48`JMfT0m80?T3f@{U_3p}%~fJZzdEZ$ix
z05;xP$qnVV6^3fLBJNr$ynZx4l&g%4RI2q+FoVXhs4j7|T`fNh!Gg^0u?}=MSIGDT
zY5pktlQif(mJs@NOHe%s4SE+8=h2|}$`JS93~wzd@s?P>noaqNRe`@LnnwK+5$yl8
zWsUkE6dYt3X;jIt)a;OAmuGfxe0S;dESIud8qYT+FpJpyX+Dd5sEJ6VV0f^|<PQw7
z-x)DC@e|e2UT@;dO1?J}MpJikZA7X3M0Me&5Z<GfL%uf@3qvFEXFB@)HaU4R!Rk04
zZn~geq{IvXm);oJ%s>?Qfu16vafhzy&`sXU-e*pG{;5W+RbV*w0Ww$P1Cu)(oA-eg
z(>#Oq46_T^A97Y8z4LO}KvzI*cw3-iPVzD=hU!*v%hP(8&&YcQzhE>j^tj4ua~JrA
zVAFKNUso>rIn^=ii{$aw0%zsg5eCnm0wjc%A2<iZo+cL))TEZ|2c>m#wTnol1+T`7
zJR?wSWST0{PiqkS^Nw%2Ot<93LaiUp_A2D^LvXoAej9B4P`j?AL%Z2$azrJgSaWw$
z;{=Gg&p+3I4#VY;DaGCq$zE-}=CpNX^d6%IL5w_{uh-ZDO|>A8)T;G%oz9%h>Cg0)
zotor)hf7r*^=8&lmu2m!<c*kvtv4t>w6xwZo83oN6K1{qTT)3A^tD+?6e|r^W2VJ?
zR$dQNkYlAm>%35qBM*86slGi6CFDrG6>@~8KSXdGYazvvSnH~YQaRQVT_gsgnoJ$O
zUvcW8m_8%}(>wo~p7;F?ppk9;dmNu=b0R(2TmKkNTFjJh%TVxj!eQK}EZVk^A)3;q
zegzF9&pmW#5eH>$AjST;8hWaQ+UQUnA~4XrU&;L8W567J+rui;`R>P>vpF~9NELsZ
zBlS1X)4E~ppY;XsL4^4WnQL+#kQm2kz6nrmqT5UISV^MboAaH?!@o&xWQU`Qlga<Z
zVk|g%cndN?l=o<-UClQN;jdN1FocVc+=&*;zs*)Ie1A|<+;M30AQQNBw3tYLjP#Ol
z1@5puUV$SR7~klUtsPduZX_kQkmW~$)mZk@Z2J*bS^iPtL*?d@39m#Cm<&Sle;_tm
zwT3wE*BN3M<0h>+RIDZ`FQGNKCUZ_ofcAFg65`}}YclwpFoWGq-NeX`60SnH0=IDS
z3LL_PZ#=?ft#o*#%=*gY#v82Ct&Z12!L;Bn-3YYA&8jV0?sgJ~t?EOakwxyBe~UJ@
zYl3Xk#=f;}_O@+fzt6>3tzRu0+r<RMzT~H%IVQ-)J~&dPqD_bw2TiIYV<TzjA$>pR
zYP_ihe)w56Fu6r&0)+ZiDS{8yZt(UXj@xnrc=hIRsZ3`=NaL`jymEF(9!AmaP9BPu
zU}39I;ePpd-dO0DiNBEfM_D*4EZ6U2ro|k<c`VoLF><fwxD1Yh2YZ068IqvURaNZH
zZwQ`Yjtgcq^dNp+-P_x{GS^=z58{(E1WrOczBDHPmXbzh{Qr$+hQ3(!WyqzXiP2o<
z0dG&k3(xu<zB2Twh0Bbv5sscX?Jm5w;1;tuOM__>Et1FMV|Is3A;VvXc9}xn7DB;6
z2GMGs<W6ceFU1_sYM$e}BiPi`Ok#fePq%T2fhR50pb?qhmbmW3rbTHhhZBSRE>Dqk
zgnNnyu>GDs4F|BD?*yf}9<`mDMwGbJntd&1b&Nvm8LI3oK-5_=U+XHCwigQ!xXtJM
z<>S}v^Mc)8fd8QoTFdAjz{|ze^VS@ACr8U~P_D$lJAowI8EJ~I;s>6-L!Gxr|H*8`
z`Bu^4uH}R9JR;TqsXhpkW$<xqklO3u+aR-O5K2y^24RX(o<ZpN?v*VHnPg|9)e-<I
z*z`0Xh{rYQ0-Q39ffy`OEMfmPVt8}6Dyq{+x9WG<Oz?eJ&=wnfKy%TU{IT|1L;9(?
z)XKjlk4fR(0!`OPgI^Aj3H*Ncf5A*mw0~y5^}SgrVFADq-NqS=6lY>^xQDslTHv%y
ze(Rre&@CC5_FJ=I9ypYE88nCat$&D5<hQ1$iSb)+q0I&p<+NVcay)}gRvRAcRSwI^
zF5Yxkx9y1jGjv_t&=VdkbVNTTb4{*$yCV3P@<K1PIV?PA=@;g#HS+@@)`i0%6a$kP
zSd8U=cDRl;ccJ60agRcrW4Sv>zUT0b7eS_2$MW)U1#aITufXB^!#BF5w&Pen)+)=d
zaCG1k@bocjDB8hyG_ldD)$QP84Do9MF)Y!syqBw3&FT{0qJz&Rfo(eYifwbXZ3o{#
z90x=Yjf)A2)yb1E%}tPlZ&}P#1!#x7dv{OraI*9a%1-+IJy#P=U3*J6;YLDslCcW2
z&i7X<wOa1NO1+@MJYqhT^K^10iez{4&S=R*mSd33RAu?)yrs{H*Y1`qY?ZhjGcD$7
z&*QbzaQpM`j{8(}D|JKnZIH|9j=L9Lc-(RL%209bx#J$OinH{MrWnwy;+}wqh&=zN
zx<bt4j{6!E9AprA0wi}*o`4i{Je~l@caiS2&b#AmT9j__x#R9>!hY;2VNTMg!6HS-
z`Hl2x^L_2oJ`daLvu`!!)GsYaF1OcbV5azS9~Wo#;w+Sqy}mc(2)Uaz1|!9h_Bvy5
zxG%W9E@tRV_PWrdl7S9;{U^}Ljexz5@0q=RJT#2i>-01+_WF7r%h^_JncQ!1T+8-3
zC&O!&H*TBc=t?$#jKsj!h%F9GDLMh!X9cmrxeaFI8|`N68-^1fV8<I<*&_b}u7mOD
z6BWEQTav{#49LGF_#)Td`N07iHj>Ykd8b$(seKJ}CwvQh=j>MJIPc}?K>m>mDVu>G
z3HJs2!|aWk<ftoT&SUdeAXBW(|Hg0yZkwN1;IR4ejRA;MTdmj{QdkyTf|VERE0Y`V
zu}b%=F&*>-yZ}~h(e8k&iNjX)Zg&9Vm0!^a6Cd3HJE+)>JB~gRW}BPte`T~p1&#ej
zxB|Bj@d_M5gl{}TlsO{tM^;%@pJ|XfQe-kZj=o21v}z4;yhTab%b^QW)6IP2BQft-
zznVjCw-1_q5!I6aM~#k)X5AxPfm?QX1rFK4H=UB5gTkauxa=GV^{0@pTXq;jvdB*J
zZ_(+fG<uRCXA#j@PDcqg)R}~AY0(oSyy1D~>M1U+YJJHkWZ`jiaX|4dITN@tK_18b
z{OC~Z+~b`>8{^L6lJE50Y5tjo8|AJo^Dw>i3po`eb?mh6q#E6KV3na;F4;^{Lj+cM
z=9EZl%tvGHhTW(x(H<y7ik@OTn&Ul9cj~+Ys$>?_<@iJ^p7i9gpg6f8<Sp;k*|Z(5
z`lQ1R+p?qB@rcrzI=*FVN|NKZr*5B2_LMv)RoryetF@q+L3O%g$jI#M#<ae2ei-fv
zW2fk?$>BLoTT*py<(GtU4XQ2&n@9b^x<wuuWd0}z4VhE7MvoW)1aZ0ceKJ>Ligk{%
zH|I*m3!tI>VlwGo*<6>E6Sg@OtCEjnG1kKD9@Jr~(-|$wOmn{17iYUv0iqrHPi8|N
z3O2-Ju6+eE#hPnRge!2PC0>C8E#VsvT2hB4rj0bm4OUNDC0RI8o8lvJHq{Yrko}5y
zXjSTlN{kz(CehCe5aSRHvM;)d)!HJyMX2NwL=!44iJENE?4Ch~$(fS2&uwPUSxwhy
zjN~_~B%0xipng+mw}|19I-zcPm{zyY@(R-2*fTX-TStDqDqLN5);MZxgHLcQC3C>-
zW*>caN|^8<pB#f5IcN-S&6f9HR&l<S%Mz?shyXcBccbglfO5F*h@NXZ9)XEn)7e2-
z2d+V{GAB2{{4qh+!TuqrBkY5zgdWI7xQVNgW=71xC&R(13?u7Dhzrb^t87c)95}g~
zDE4zX$0paHD0U}TM@ytIcy7cNuxN^_c;-lhN3<Ob9*Ja>EX5f-cS4oS;Q25<k-<Yx
zK7)sm+m69=CgMDGuu5B2kF<AAZp+?L)Od{^ekMa;ab|;OfT_ZJ=&=u@*4aJ9TfnLi
zrUSp9*uNgLz~r0I3ii)ZB*~okx1c<Rk@6R0-o{;%-{Mnj<^iB;jb>Q{-x)g<&X3Mx
zV1HGS=$<a^C$nq5FWKudVm#RY3CLu^DF43yUxh1hYi3@710LWT10JZQnuRFRx-e7g
zdt6!^zqIhzvsS?tf{4)K)~@XIl~ch(0REohsUMmyy4_@gMXQ^qyn-~Qao9z<a0S_!
zk<Bhj^TH254-b<X<b^}NuxdlTqTuIAohKq1ex4JqJEE`JhM%mzOsyZDIvkv5V?O#q
z=6bN%!K<snvkQQ@Y*$ykHB3nhS649tEq-bpDGYct_P<H<hBX5?zC~kS>C)tJl=BX(
zi+nKHc-=!0YthrnOthu?eyBf$R5`1J<>TUj;&XC8aAkrlAJ>7R7M4OV4yP>ez9Gxv
z0X`i$Eerj6uOr#fZMi%hFO>uHLP3!nZ4kyg8Q8XRJjb96U!oS2#zyM}NI;Q1jKTot
z7evbhH$SEvvZKEFciv3so9E!<f-F20v5?=#Oj4d;oP^KZJ3*mD*dGnTVeFyS<cY57
zsaHz{I1j^=EhbLZmT4V*axaqplawE_75)_6P(8}`-yoMW4Ep!*0#vE%8XkOQsCo+;
zS*H>ZX5{3%?v<ExhgqC|O2*|v9tJ%VGKHouebUSn2Hgb(2N^_R(2_f;Fz6I>JYmp|
z?|P9_)(jMq7}@`gtT|z>vFlfpxi9qjw<Hna-r=FoIDR4{bH7WUb}aPygiON3L!Xbs
zO!32g5o%hqpM<^WdZoI_^%lBfa~7H@Ncs%O5t4o!D7-7MZJD|vC<uwz)ND-w;Y@sq
zU+84XYDbXtVjwpZB#rNx$LmsjB99k6c|2a+@zZN=gZCa|-Ixt0UcmfZ8;5v<;+Dp_
zLzVnMA5PVM1Et!Iw!B@;f7t<_mr0Y?=QY{Ef!&N|tNq&?9y+rOI1#8ilCKxldVic>
zaiee~bH_&;0RY#5RO-6XKV1r21OouZWv(gNX(|d}f!QHqTC{(bQz9Xk+hyxruC%b1
zQ*kc24U4hj0p{rv!KhJA!t_hs8#tS16>X4zo5Vj5B;I4pe;P8y`T-vfSK#*3@CqE>
z0(_$jsJ2a;d`+G}ZHKSxCss**QP;s(AUr#puj_}zL#tAE3;^SXUq^|dh;D&Tx{CF<
z1zf^s#sD1F$^_(ayk;)P6w<B_nVoKNO>16cS7oLr+AlE+NDV<7%P-;T0@cyUyP!9p
zL%)PI`*FX-l$+DZN`E&W-cApS7GT<YDnKN5SpeU11a~=;aVzfDLY16@Yq=0XNw-PX
zY*L_;m!U9sCx=DLG<TLHS7D3TTJ1`nIV5QaqB(LEya41XwTzOoxV73>LzN7<o{Ud~
zT<OV!TsgVztkrH&@;Fr5R?Sz(ItgG;iJRMksEw25$FP%XpMNS8sW-)7zIqv0Xij1n
z(qo3L#&J4DUi)x1A3ex~4n;V-Rpy#p=QN}k<n2F&X!mq<F$?H&ypfX>;o1?&hU~aj
zu`sD%F&3_!E9JumwbmOQ(ayk30?x8OOoHDUB-n#xFM~|6Sav*Ifg8*63LID#-*g7c
z-f5N8HbBaTWp5)MT9vx7EaQf$eDu{KF%A*SUg|1V1AF3IT;g&GoQY*=uPmte!O~En
z+Dm)O3e{RK&P{OYTcy8HtHHkH-qavt5@-2{!Li(Od8W{Qv(sJIGF{Oa_v>-}BG%qq
zU84jbIR{FcAdLHx7+oc!52v86CZzjXE<w$Z?n*Dx-C3#^;mm1VDddPo;@oVRq-ZC9
zL!!EqzjE5dX%yBRp$%q%a?isY4COv88y3taP_Ezupj@eQl$^z(+&%6TD0d+~5z3_}
zAIfFqwu5pvNwcF5Bj@2<aF~&r&r@m9&gJXi``tELFDxH#v>uXZlH-N8+%p|OimsJ!
zyKp?ywW!d_0>^upYVDt;m=R7{4n3u-QBzpL{<ni<-o{5JQ<P!4cYAHt5TsJBUg`bn
z!9~wi_Qmi=%7*feODi;okL)-rm&saPZ$~;_vf&COI<)vB004q^)sxAqkZOxPdmJ*N
z-|KgXz>$j}^3{H2ir0D3JZMIanv9Yh6gojlFJjmU$Ig@!dD3@Fd55_5-2s=tjB+5v
z4Z@aNT|hN=h$sLQg%lOlH=3fDD`(X4f?ig#ZW<_ui-8X25xE4PNLSF4M_2HH*Xml{
z#u{7$-&e1+zmg}{@J?z~)%5DLcvVE>&dD^TrhvWG2%0bg>g*McIay~zdi8EYrOfPA
zUB%7Q^N3l<{L!3$-owS+4WYv7?P{5K3igExp--=LX{XMlU+PW+x$MOwc;w$ElRqjM
z<??lSTnBeTrdZd(XTue^T?f1ZhwA{}=$NPVWw6JslAdD~|25*FRjJ!`z_?*f)cUL}
z)GxXYZgUl@SsUV8bRDQcl6(-EffIr0I?xUaOv5JE*1*5F&D6GIv;Pvu0b!)On4nml
zyc0^BAiQ!wlX+Fx=e%<W0$j!U>xKZwiD;R|!J9y5+KW37la_}lS;wMI?B{asNDllk
z2n<{qkN@mnobH~Zbs-gI?v>aAX6EkCGe<7wh_(ZIk>aX)N<%M!vl?FsRWj)EDtsd7
zLQfv(k}z`HF>^Q6#KyZ?TdOz{yqwTFc#)L&q01eU9J**tXa-!4a1Ah-zh}jY9Xs>Y
z?QlWy+VYrv;e#^GyHx)P)S~|+hXk4AX9UMX7_*!v^ERehCn&@+-{2}^n2OwSyzMbJ
zz)V}QLU0)$P3{&Yhg@JKxCLeavI1mLo9AY+&KH%5Kg|j+3|8ntN4zR+AC-Tz;G4r0
zxX}@>z=4kNjXoV~?VS!n&KjH6<n+#L`3+V{7EsX;MXUn^>yP%dUklZz)PfrwF>aWO
zKvz5h@gO?7z*Vf)7V#~jBQ+e8K4eA*(9xIMW@_8$=<{(L5a`Io1jXv)WGHQd(9z=H
z<Snrg>l(sFr*Q5z!$!TE;7|f|`D+_IN`v^zSgx=OL;2Z$AvQtC1%a&D<akPcg@nP?
zzns2!th5euFs$@***O15)I2?c7l4(d@Tz``!%ELUl?*FAi%*1==*fqb7`cFz%$oGU
zsFC>4d&OLp{0JX$e3==0lAqiRQROo!0Ndq=!q<$#d3Om4>B*+BI8QLW<pbl^ZK_vC
z`|D|`%&`N@a<GmR1<YWLVolVCy}lYv@CI$u0C+Lr$T`<nU{5t)9)M8!T0LKfL)X|}
zy=T&oaKu`vT!)l4xm=v9kB$r#__=H1@C4E;Jw@e{pT%P4rE=we${|5m=^*Gcopiro
zi)k6%-3Q8Cjaw%ZRQ2(e2NqqbOtZMo7rZ+-@^h27M@TNYkWx?a^5PYSV^?ta5`)9Z
z;aCj8Y=wtk>~ATHukn9i(s+Cm8gDG#<fQRRAB_ryu4zx88SfQr?L=|9Z*HDWp6F=v
zN0U|O23h67p_?I7te0*uT!9;h@(LU{6yNAWTf?Etqh}XljO#Ru`9=|zjc~D5wSQKL
z1g=(XI)p7g*_bmjwu<Se4d~%`0%UU+<GX_`_{Lz1W+V8I`nuZ6WwprNH(??`EF4w<
z%<~pAKNzlBL(Y-RoQ`$0%R*DA{fzr;nEH+}&b2xAYvH=Hb1r?lN-NSA%ewy#lixAc
z%_KNsN!?$<m1pN2ujRRty9FOHhxtSeSeFAn7p^;kcQGbrNc2n$AJ$EdIg%+A(<!vu
zYM~_I$<&OigY6Bvgu?0ztjKJqqMRP4q=i#a7=ac)wH_3p4LuthVa%i)CXR2>v!Nig
z0(h#HWPd2ClSX}UR&qU@6`q`kB=QqK7_cO>eF-1!PP1J<@nbzMWP`Vs>DyHo!~tWu
z`mIO7T)?r#K8@MDP$gFCCty|G>QtpR8z***j^rc29$_CO|A<vGBz<%nO;imcW9yAp
zL(Dm;C%F$uVCO9WqB+!Iaiisa7d!I(5-2MqYmHge!r(xqe?0jLmO7XI8qSx><H;3}
zwJ{rhptEv?Y45u99$fR~@pmK-LkY<U<YI?ipbRCCVySKMhC#K(Q^ta%fr7GVyGShG
z3Z3PD6MV<LMz6<5@D705S8IbOZyMdk408QUPJMXf24O3h7B&Xq;dl}|xIf@(tL=qd
z<mix&v5u7|XZGYaq`N!0m6I==H>S`!+CH^9)Y&^d>&m5iDL+)Ys6b9ihr@|FPqIHg
zgW~Te8GrB1%HQPUm}ANM>CicfddF!%&Cdnt+L*7xww5|<MG(qe|4GtHv)6-J2o;9`
z{TpUl%vD_T3sG;@jq)6KiE$?woeRX?!$1HhSq>Hj>o_c6O?_J-H(DzU(4b-842{7G
z;Sii`i(kN!ySjRJXAusfs_(4iXd6Z?SHxxd!s|!#L%GVxNTpgIh29^-qPoN`%vydJ
zJZ`MJt#gJ<mjPEA=8q;He-O<_{U{xC`b9;M%%<`AT__Hw7S~xr_{uPKEql{EYsj*(
zc}uKc&8Ga(svtNwh|`CDM+Eyn)pb>-(}(^91qWG1o&m|P)agShc6m-8a(s8`^DLLL
zTN=+dB`_)3{86yh5f)2F@_f6ANT9g$BYAK_X`+C|#jszDD3u?{Bj!<|<XT>#*sKB-
z;sZ^5&fJ^~H(3`4LVX4GDyqzN3#mXR+pXYHEol~evMQpK35h^C>7(YvYfg6I2$Z!l
z@8sJ58^O!e>C=u-6D@Yu@it2!%K4H}uH}`W*Wp~q3OX}mAW9Of(Bov`RcTIUe;~@P
za0PCMAFsgS#lbg*`d97E7>M#Nt0YsNbsIoe-l5ZKQh_LlZ!|}~bX1@-|8l54W$U^F
zQ5ZM;8b^26Y<3mvao4C(nQTI4bRZDrQ*ARf#!E<cyN|K=#&JLdqPUo#Se+aVrFGJ0
zMKVBctH!dJ*#{j8c#<vaATrn2a2`ATTADe2*vWJ{EsHi;iH1cmI7Qlhne$1Ymi!P&
z>rTGUDHO=VKeVuUcunAH%)tUuzAKv-%qI4z3T{XqrK3HXUK98fRLR0U{)A5ykU~#(
zxCet4g4}k3cQ+RcLn9qPQ_SBYF;!#;uUGPrDleL1Dk&5Qa!9aXXzrnFa@rmq71v>2
zp(hMZY8-2uz58<B-KHM!%ZivCF~(z#%+>hNREY8DW&L3VO3YxtGFLA9Lk>amYIMtH
zx==(IswoyF`(ZIuw+eum*0Y>>ReZYw1-o%Qz*Sb8`#@e5Y+8)gZd<_|4kV;BcUr{?
z1><6ZreLN+X%nPi76(V8h;*D<BY`yFOfCdY4XCf|EIF}I>xUiug<O6J9D@065Mic*
zGo{9B_L&@A$?LG@?&N$<K(vCJf=oV7GFihEr>-lHjMmxyAMhm(=j%1*)0cM&SE{wH
z(?{#>uk^Kmnq+@x3ss#p%sOjF*3L>2%)y+|iVH0{qi3_r1f(Zg{w=Ab3Hu+jkSN^H
z7h|Tye3owRhSs*+?bEPU`1#);*;i$ug#29ZgdCyiQ1f#k#gTrlv4~Q+pG$O+7>sIi
zb-3mPY!p+7WMB)h@iRapgN^s&6TwD$^1w!ppL)fLEOb5UaGxf%kDfk*pI6ZV)F|=d
ztK0O!agw}{adMq>>D7m_8O^+J`DR7XSu?A0<<a4hvEK4PzFN(Xt%SwR+UQUnLJaVr
z_?2vprf)buG6L&3>_>vebYTn1gucCfwj_=LKKZvfg?t-CP<M=&fH;i#z9I8Y$^KI4
zluqhuf%`maLj~sUh2z31h<~IUPBZW$vBt>$F#F`UlCLft?s2aD5;B?5bbjaB-@+BR
zool=ThjR_z=rW`^6XzQe%^Gd3yuosv^_9tuh4+}Hn-UrW-K~4!tlIP_yr73@9uSh!
zSZ>!F<CR~d2x|u;rGCyjP6^R`W7wy}2clJIRuB>-|2Elnc$jT&x(}l!7Nb10Yr_?|
zg@{++5F&iz5uzD#f>Ys6TnPdsp_gXc&#}sCTVz-z(UP)>*l5)n;&_XavKOt|n;Ib{
zFY}F$gw$BSn*6&c%s+QaE~G}s$<Euu6}V-GSKyExeA6k}x!Eeq>P5|9kM!?nl${%h
zjaIE8j%Sgb=HH_KMd|hAXE?Px9Q;{F<b%&MSHJAys@9i$LKe;!7Y7vYl81pS6Xbl!
zHA9NR|H8Y592;Nb3fSq`(9H0K8>PK%hRmg3$O$2N61%QD`Au{W3g`TzBs)alFL~ya
z`qa7r4L*KMx@ZqrSyBKM`{Q<tPWza!vZmt`Sy}Ytv9c0IZadET^YA)Baz1y!*0MbG
zuW8fblBD@<uG=S*Yg>j%iz{_{wH7opx6bkoB3TIAB-<yCza~QpgMhcBY8F>>bIsbu
z>ce7?L|so=v%EGK1VF^qhka$P#uV!!wMlcXWV`?%+AnghA*a?#*<6?P6ShbdtCE*u
zG1e-?9yF*_r!!g<@^-%0H%fM?0z^CXpUj3FA8d%nj9UYlV$HaX;R@U+idW!3QTRre
zPR)#yXPP<yxZ||aL8~OcoJV4)^l7D`7>RAfL#t9Zgksz<b&GCNigAdB+A3GEjxmc6
z$|Z>A64sKa$tG<p&!C+OrleijX@0XxqV1h4h%-9$_g|fUOPE%-(DDk>+}JZUTU+}~
z?g>|?bzh_?I%;f#PvFO8?z!EzT7-W&On8t_j=_x_GzPb3<NJ54e%s1rjj2|MfXOZ0
zjn=vX>49H_>yGHTwwG*~*fpIUgw^00^eS_*7c^*stcIn{0gtd7rV@rA+hHFr2hEI|
zgHMJ?C5D>yeMAC3<|^9~*a0C|4`V-<Gi|cq<1mD}lX>`$cEX7@CN#MehS1*F0v4q-
zmuHSNghboH5PB&U(!z4nGN_U*H@yU($Pl6@pCQD^ZO0Hg7tx+tFz<jhBv+nJ>wq1k
zDDxUae9bLzc+KYEkW*Fk&|@E-R<nxEtl3hlSA|I-4y?fdC+SkrS8*1YoD|x^{#gns
z&77-)5*kL(N6EaCYfUGm=gA&aY)-{nFN@&2jsK(b7&d{bNOX_?a`nxUy)NU%V-swI
zOtCh>wr~Y*jm;}?zy^GyPj;G3un<LB7iMa`>wFZ~c@(>>g8j2-BrZ#zM-g1isi%1A
zhpbnGX?63ISCGa!4twePa0Qx5iDX7LdnwHeKP<f~Olpu94*9~W4f%?KrJu8MS;Er_
z5z(;pv2fiHebqKBW&Nd)CB>__?c4Ck21u2guD1F&0_R#h8EkfNhe=Z!vYl)3Y?zW3
z&b43!TKv>HQg;HJ3blv8oA?%;07{o8>yhXVtfMTs*BmdF<ZDDn&J-C}r}l&TBbqNP
zA{Pe~pOYhiD-&c9`9sPrM1>$7cS^7xB8%gdT*90dhaM+-Bn#7nE!7C#a$t5SK*FxB
z#bZ5(D+7fgeuihBAfPltS}#B%zT`v{iSFe1XvyGa$&|x))HlcSW<uY5XQrCESU5mW
zhqw8klZB@uzH&2WlJW$jCHX^&P;E`_1O*>+JqW32Z$BMwY04Aq?5`H!Ua<n~(5GvW
zrED>Avi9QZ7?k^%^q-{ski{?*-B5i~`D)0ejzPioJH8LU2rodPy7uAYD?{O10Lk2k
z&p;g~-vuMzXcgz550Sjf*f9Z@5_$el^{F${uKPDZ!9fPmu6xOy)UNv!b3D859pCk4
zlo;9njjTCguCeP^Q@SH`mZE(NO<0b-!*{jg_=$}6J%c`NKImomG?yg#x8wqig3m&6
zx@`I-1j+p`7}dawPh+O|;l3!XDTLMNdL;>LxZXnbk7l8ny5g(Ev~b&aS76&RbwyAR
z5*~OhrtnOG*Fq;tR;N8-$+bXkBXHRUzGt4Wzu*&j!syB43FA(nRs*kJr*3@48|ypZ
z1+!uT+VzE*^m%<@lN~77&1e=KQ1p84%#zagh{gFHHwu?CcZjqRFtFz*VrL{_cVNK4
ze3@%XcAbhESYURDm?-U^<s?b7cuuz7<zfqaKNaVa1F#q?ejt6rnRbLj`laqAl-HdJ
z6*N$);?+mis^2Sv#C!aMFNaLA{=pN&6}Vj|yaI>+2H)r^Q}Yj!4~klAK|H{P4j<TS
zt&;o-N{45ma}~hPZXE3!^aq|zJhUox`&1Y={Hjh2MT{Bfbrq{w>Ec^-7r2Daj2Sqr
zl?lkP+?u%@bA-LA(_NLBp6C_#e~jb5@K?CHKy`F78%lf5{T0?62+$M#6;p0zC+oe7
zOODgCq8Y`#r&jU<Y`ZAm#smjIlF=(pp>tjvmo=Ld>*P)(tUI}b(<h**H6LgL7rOyZ
zpqPs}*xK#~W#fX`M3AfC1r#E6jgqyvAlJ`Bl?>5-0iOub(vt_#a&p^Q+s!L^<X6;p
z9@uV-o97~M94FC_ZSS7kL9Z!h^L5U^!t_WyTYAj!*Ep`HR$|+Sx!>a>r}?lG`VwL8
zcVw=~bvjszLA}0SR7iJE$0sZ>%<)D}TZDIiCE1W2?<y81zr<oJygOIQ2ZP=!Qr3E-
zBi$L8NkDb>he`0WL4rLP_wSG?7URzUqzOu`>DY~Nc?AxPi*GuEahHV&)6~m^VB7<s
z`qbi$8{;x=nCi$E7yB3L8jHzVTf~?}jO!9O6XVieTu}OhrJ+K#m-eo~k-WV)H}!EW
z0K1=iQ-h32T-wxVxja*7PwjNqwM<tu_I-`3yVLz5u&=9YlmH};K`&1b_FWOLv1AnE
z6x7><fWOHnlV%8b<*7adyt7m<!rgAT`oqzUTu#iENeXyUL*a%Kw4-HQpx?)_H4Och
zdFIpvqe&dP&G{BD!3RLUQu8Qji$lL}hbkHReFr`f`lTly`eo#{gMQDG=13pL;pgbw
zhUT-CPr!5eI;`kz8?6`M7QS}fxh82|$jiOj0R-t^JGZN_&YW1_cn{tl`)4V5gkNq6
zN?q7rceBjfxOXxEd0&6`+6*GVr5wc4XV!y@r>pGK>pmu%%R4cx?i`-APg}YCntDP|
z2NE4xL=x}-A-(F)<Q}BjV$U9jXqP}#s)q=axd`HD?N_FdJs!=2X5^?zD!CpCogkGM
zJp_e2Xo`wI>BRT)&T;ER-#JH`G7$xUGLd4V`bkqJbLD*Ny1w;kpo8g?KjRbW6MFLK
z6FvxAT^~HV2A3`L)hm4+S{;-z^6TRadG92p)8$nojXNjPgqt!4dd)`AL=sSWM@KOu
zy&|ZcN~(<cd1l?rjyHcaXQze#YFe1)3>{X1^JLyB*dyu)ru6Drr<c|ak&JTrNjz?c
zWsoV>?eL0l1#Y(kufXAUz&D+7JFK@#GQ~?b>n8*NoJ>5lDs{UZ7&pwRTc=MbXIxr4
zz*VefY>02s?VtupvILod(}C%B(2hAwgDThd#CqFIZ95KpB#r~Zz;`i0u{xOrrA-i;
zIVfs&6}CO^B7z2UIhWng;5cz4V&mXVcySTxJ-FSd(qE|6V8I9?CgD$5WY1OLE_4XN
zk%n^Y=W?1(Za_l1lj}G=%{|q^M4p2=n2CIiY>YJ+G^y24jc7Zd8Y#4@zcf@62zk02
zs$`Jn9(*E5Lr)$^lQ42q!BzSo)JPO}B?5`^YHo|fWEPx_E-uzH?$1uvO#_nfHKXtW
zNg+Mi6vDmoi`zt8r=3t48XYcg00;GH7?izHKUg-$js$_*<w=e}jKVHRu-K1}16rY4
zO?(Ay)OMDJj!a(?DwH3#-BVPS<t!FECM+iLrxb89#lOP^R502vrebnMqwR5-t8vF<
z!h|6X@ny72)dUjPm4bf<M}BVd_rE2lTo9zEczN*(V}uAUUt(}M`8gIth*n|F{ll$g
z7&QEmN$a1Q(0XI>CMT^|dT3SCLh>jS-APR&E_8hw%Ef6Hw{tKakq-GfZ;4Zf=-WA-
zj|*LQ{}lA4KISF*n6L|7_rWTeK(uvfsVOfnwi;s29oa5)eIb+;@*@W>bX^KrvtQ^s
z8*;Io3@Ae#ywG(jO^7sDP##0xIst2rfbTf0nS+n^rLM=dbg8T3HrMtGl5(1?MoPPr
zqdCFN)f{i_l+tU|jm|!KxpkGRLuG7~;F<7(1k9~uReV2{@%@ynd{5S44tAox)}mG&
zZs%sZJjcNvWm{OG_$SBVfl!hB(w12p>f?EoyF)=zMWcnJh7jRPn-&g%S{=JcXE?eq
z1&BeYSdzIKADJppvBk@DE|yJoW4#c5Qfx}zKqCN`ES0Y;(`7oYvf6ZgTo-JbZYuix
zNl~s3RLc5oZ35omHF)FjE`$)c&<WRviwPPa9e~n02}lz{5!d6j@CP;>mBQ^Y^+p6~
znn5lMP0@9;+j2N0ZT1;zm1{n+^9A(ZC2-}z%;fV(LU-~2r$kJaCIZ#PQmFMQHwO{N
zKO;G=MNFR-bHh$=)+=^8T&h9@Ut?YNNY*Y(9>yFD5hy-5wt{zTQ|OPgkSI2V{tz=Q
z=971)?%4Tb7D{NV=kFj#XqJR=Aa>m%#Z7R(xJ&wb5vB62o}!DykW_Onx-YFEDMEw9
zj3ODB@<#SFy_&K6KH*i|AD_tYNl&&{kwL6>9gAmiU>F|?A5shIuIp1e04q6ZrlV0q
zmW_L+3=)$~X||kuQHZ@F2uIwxGm_=P9X#-ACHRQz(MPz+i+9A%KhX*~8<Ow!l_00O
zBgoWV;Wglw%e+&zGZnf$6=fdo(CJ9GkiWJ^TS{JNm(IV)a6QjylG`q1?^#G*2bp3Q
zlDC8_a4#hD3LFc`_(qp3ZI5P`;xhAWOYbAdBy$n!pO_N+daGPhV)e=0X9ido^XOF>
zQO+StV3-(d)$LwgW-RjSAYrNE>heictR^^}xs_);%riILS20?&qtX0VJKYklz%4tx
z0*CD28;|U;lcPvV(o(}-n(}g=RhHFf+9GJAyg1IT3Q5W*h>cdQA&$2wDK9lH++p{$
z`P4>g_Ob5e;e*in)#U5<!+dqO@Cjmueq^^_rhXN!z%5g}0*6fD8;?xwji;lec*U6%
zCuPrCrCa?y;ZpYZ6l47dOD_7f$q9>AH)DAPX>K?|e{<mqvNMC~h@P8MyqLB!$Mg(D
zH^ZYT$A^cB&B_hHXjTPl!xgl^4XmSeZorxEe0--)f8QJ?HOLFcki(8JhMcBL{HMPU
zcAf};Kxx5sg;(tg*B#MUZTlFR^jb<FIGZ{+&!)lXV>Yh|HamFCW_ZE{_guDPHg6A8
z(!w#Dj6jQ@T1TegSMzT%xKCL>$%!cEj^I9dwzf<9=%qOo{d=(SEkN6hP~}Tdf5>rT
zxwl;$P`pc40#_!;z5S9HLtA*bdH0YL^DsUmIo-yZUo(9(8J{xKFJu=czs2tBPJSKT
zi`*fc^pgA#fxqCHL*0P>Grpfqv<IA4QV3NS#0Bf^_8H-{nubs0w4x`E(~6Uei$kq0
ziEhQyP-!i*L#``pU6hP@aCn46>3V}wBuVtUu%_6(Sb>cQ=f$z&dAYu9e~?NYMObjv
zF_q(*?~7%wsdV)S4k{I0r(IUYryuPXIq#4k@1?T2F7Hs-kEd9btiWQ(&8a+N&g;oE
z7lre^el&xAR~c`I{*&2|wZVpX++3?6Q>>fo^l$}kjLR!<AT4~OOQ+`MlG`dB>fd2C
z6|9o{avtfZ$YwR=iHBCDZrsVZVd@zjo#>G2C|9wLF^iDOC5UFwKqs#+dsnCV?YO=y
z<QTe~IHUVQ{3iSR!?e1EmRFFrd>ogFnS=1|aCKVuMT(-M#%KdJ%_qMB`=v19K|VPK
zH&$&7?kEHHTUIV>OtnHpv;q5n!gWXVT-ydL>#wG>g9wsw4SJP1Sp*H5AS>eFIM5^P
zh^d4l$d=ff%R)0_C-zP<uDfGDms3hI|9%)o-O29wj}~-pjSEdSg<<qUYysQFG>2!7
zG>k;s!7y4ug|x7mzZ9xudxVzZ6B$PI<TH#Ix$PK6=bP6=bjUiATeQ#Uz{0*sq1QNK
zFf<f7dT!I<r>?bl9<DPxCMd08M17>pJJ}D+w0qOS{?S*HY4$*L9>YdZ_fZJ%wEy0S
zO_IGXW5;77oDP{{ZG?Qd0=EX|6*yo7zR@Q>%|>YNI<uWt!TuRF5~n$?GYdi3T8gKB
z2zz;$RyR+11!)NDu%E6ASD>kvNM>ZSpVGYW!_*IlNe%MCAzxUvAzx82^#LoFB|NPV
z5e-wn9<Dp0uiA#GtiKe}q|iXOy&E3c0Iy=NGy83@*}-*|rZi+*XL%+}Nek;Nj6jQ@
zT1V<mf%Q;(2*`<V(J7#GX>tk@-GOzM#h*3DizWFQ(UCJn#&wo`q5g>G3k%7`0mbL!
zaNx=WSxDi{Jr;IA(2jdxSuc?V@(M0xP76fe1KawIWZWoey#QsVoPc7{ove+P4sNDQ
zIgCervxYYl`ex#<G&?&BPenNUCd?$|2}aBmxYBG#bVKzUyN-ceY9lbN@9`_mw!;fh
zs;(=|@RgzTEs&J)O0$2miu2EjNFKk^>=Gi+|EWHGX1dbsGAKC6AiB~_awm1AS&BKH
zE6p6=^*)zZn%VWMY2C3?fi_nRG+{aR4!=hW$4}(uijDMX$9AvW55?)S>6Z{BmtSdi
zA7+Xl?#`RZSn#mxm7L~%SDHPNg=XrChlpw6w(+jOwq@#ypdg4V&BPR*X`hSG$&%G+
z&scH|kQ=(v4Bzu33-O6OV}Hgck7tZKgIWz2*rtxD&vs~G$itMgVg@?l8#C$j`o<<Z
zV6dA(PN6{bz)*<K+BF2!dHe>dRXNzwLOa9be3Bc*5dl0bSDi65k2;e1IAxrt`J){C
zv{t_Gf!Nte*dZ8DFi+;1lHI4G3haB#ID)o+HhFe{Y`x3n7WRfJ&LvB*7|X{v@n<l;
zB1pW)U-&Y}6zeZMAzXpmmBK4<_;c`$u0Az?A^D`J$1J$#zTWISt0cd&(xF<W>&-&`
z!Lx{mR;6wq3*&}g?TMj?yJQY^6{}h8;#)d{QF1^DpBYn-`5G_}`!kngj<Cxlp{^08
zhgU>)Rc3mkSL82^<G=7<xW>Qg=wud@_PqEnEHwvEbn0GlHkV6})6=2_wr0Jnj4Ow%
z*`#PEA40;qliN9c0;*bbf;M=u8}N#=Ihcd3{oX1Y7tAJtVg)at5UFpJyu}5@eh#W+
z2>0{&L<pCjJP4PQ+s@i=LCIt0E6zdy%m%uf;{aEvNDb4uuR2pF2u;;XvI20oo{cq=
z<+`)~<fEwh5ES|oVehwPuBqCS3i&!NHRJP}<Bgoc$Y%JZWP?jPhw-msVe$(s#=^hW
zrDobny7fk1FK>F?*)u_cJ(%}zkSP}P&ikARQmv`kjd^(m4$O;hI)izah6&SDO(c-Y
zwhp`ms!uKMxG^u|hN+r#peM#5V%|Sf*H}!}+9JM1%<B?36Z5uw4VVY}wp^Y$%GP(f
z>sqEO8VjH7>h5&E2rTUC8YKY9*P)ju2n&aIyQHv(jC!1^SDro2CzNK0INR-ITwi3%
zB!xVwqJVcNBhhj$(C{~~H4F_8^USG9Mw2>ptMe^lf)9X(rS?%07l(%5230aN{C0dI
zG)zxEG|b3t2MurK=halInXWtwK{Mmpvrf2sO%lECUhe%4Aj<GMyIl<|a`b4sgzS6H
zxQN<6OCcmY^ZuX&hVjfzGH>HkQ|%BZE>8R)cI8Btel_<MX!pn_^UjR&zTIc#@@wx2
zK_W<WXwgYP288*lPm{ZmYQm_BJ*{7X_Kj#BG$Th%TFG@#=me?BOhZw)jHd7~pjeO_
zcqh4aWyDozq5x1bQhZc@X-X!1725v*9Zb(WjZdU!=*gpJ_+V^xUGcU0jai+JwLiTB
zZWf(BuX>q+7jOks;jtkNZd|W6QP-mF@p;n{HD~RxYTRAsor1lhw){@~lH9?PQ7(Uq
z$33wWGR3+ljtE!ac2DpM9PSBx(;4@~DOO3Qc<JW<gn)uq6A!IQ-R=p-4RadT=@SYY
z-4jb(#cBqL_!iw0YLFz0kr{|JO!q|QYtd?LGqvq_@=6>Bgd@Pk1jXuPCX_Zo2xocp
z3@dy9yqgFr%;B7NLxtni%|;V_HQMz^NO$rcPET{MwlJk<V-99YkITkb145Hr&6E~x
z2b3cPSM`~OaspSQeH5x>5a(`uB8Wpz9*C1La@#Sb&#l2}E406=)@hIvd3ktP;v{u`
zh%>1!v~k?}sx^TurvSiN6UmI86)Se^%vZP9R^`@~$Lu>a)S^b0>Rq{WPW#C;`yb*0
z?;b5-Z1WYFcXC}!6VV+C*~~Y%${2QsoU|Nod(6!}(^jkyT*gO}yFZp3a)FxQ_MRU=
zR)99@Jm6WZ^F?LiPqV_`1uOKRC|;GeN6dc)=l_N)aHA+*fdfV18y|`SA!m(sxK{9;
z+44nSFiY~!-?1nP>xlOHFM#S({#Q4OV%#v*gbzi1m!!bo79B;Y;g~#uZ0!JwI=XG9
zwvD1*<zlR+jX4JdigGbQu{!xYFlK^K)FF}6xWrJblL$k7i4TKj7^-(up`NQ33viok
z6)q307pk>fX%K%I%N2H&YW3Xq(uIX`j!hNv)~u}A<j6|$C;;6_U$h(uO!Y;QKx*9i
zJacMzXuYUmD!~iDR8ovp55{4t3!zGesdnNMVJdp^VJb#0U@EgFeOPKFiklpPM0p3M
znUUWNF_R*Z$Bhdr*>$sTmK454Qb<oWh3dLlRYOnln8qIHO*)jX1eD6#p%Q+T1$!m#
zAI4Yt;vum0c==Wmy{=++aXOoGiz@;4P7C!*V^*y)TJ0~47gu7>?$%h)KU%F8%Jn|}
z`-a9m@yk%DTo~Wbm;+d&4z<?C8+#5^`bX=fp<3@?wNkDZ$^+w#S!d^mMhms^tH-&L
z-D5)o4lyeis`+}Q3i;<k!wR)}es~1_*qv3=2W9VoKfCy!qtzk!Yks}b-?uH_zXRVw
zbu)pkD$Lo71}l|%xl%7^FW2wZm|rXO*UO{BeY*xL)!}jYWdTH-mqz;fE5pN(wFX6Y
zvtJ5B1^T6LXQ^If=Mn<RP$SPUl&{t3hk4b)NTpiu8!B8_7#d$ct<hD?56M4gHui*3
z3B0Q3>!UUC(agrofx@=Y?NHtVz;k8b6?{=G<cHyxx%FzkzkrPze|uv=sXQ`T?<<u1
zD+Ab%jk%-s!9$Ncv{r)W{mqwsg=!VnGK%@~z)+zId`43H;aK23Dx-C?l$lh@cw@2k
z#wsHD1W0CM0V`M0Aad_-zOXVk7GfJ}z^EdyXb9Rg-hk7?%iBlu+Y7+)0r-1bp*-H$
zt6J!<R0sM73L_vNP)&&#JFCA^9)xBBM@j>IBh|uSX%|=njRpD9dZkbO)R<NRp_)H1
zIy}-R1rHcYKftlbg=#rJgk84>{Q}%A*RcE5Pb0O$=s=}!*D#9I!oseRO0CeR=OiiV
zulHS8s+E|C?$HMu7xLSNupykv*<wHxS2pHBV`?x2^7T@s4290;pY`GCleO`!<Bfgr
z2`Z@-s`w4`FqSp|UA}uYzf=ARBDyDzDv+G=b`Zp&(r~Fhe##4e^7PEcf|0^VAF!nW
zqY>^Ihic~GFWd4!Jr0jXu2`>+)K(pK*v_3hdq>9V#Y(xiQr&*oK;go};LF-!<Bh#B
z2ay6f`s#&Y=%_k$%pCar(1ZTr2;l63>R`WB4gR94*<VysuT)^5mkRYks-{>U9)c?7
z*7Mt76b;mi<Ll=%7K2O<_sQWY$?vO;poF}mv9LB)uIG346-(QTL-0Sy?~I`eivGOX
za2^KQ>qlW+*ML!b(ckRPzM)Egp0jpwe-U(JKXg1BZ@^_@A>`gMIs#QJfJv!dsssPo
zJn#;Xo=ShIJP0x%CWb{gRn$hencpoe3~wt8z*rrFx{8HD9ZK7~9|9$I^c9BlrJ=t3
zz(5tQd?)&*7s?logF<P{VN(Q*Nf5768Fsrs*?n~|<O(q5fH3R{6@j?aVWtF87$^+Z
z#xH?M%=ono+Ma%f(gx)pv*6kc80Jt&aW0`+CJbtBotZ2i0|m}D!HKV>c5jGZK*RqJ
zjCCD|`ypq8MVcjl$Jt>vCucnQ1N@09@+mB+J9%ao;o%xxky{!d+Giu->^XTCe3o1R
zNv%OaZS}DcY9PJXP%9n?SE|u_(0|83>t->AX-$JwYiyTXi#mpIovyJPGfTDM3XCeG
zYxge#U5gu6OrrH^SaU{z#4cM0TW@P|FnJa(>q}<hh4klP(uc{<F!?1WKbQ{5PcS)p
z1|(}S>6;13049gcg5(HHy5>N#5R=C-`7S2U%!On|7bFj2@+c-(?GDMcn4CKglC79*
zm=DP&Ozy|zi<ta*Pe}e3lNap;$^Mx9`h}4E9+Qvn4at3&ykQ?m-iXPGFM{M0OrF7H
z#)~2O7AF6R$yfJ<<m;HcYClL;WAd(UNX9X_dw)nifyre{AbA@mryKyuMojj~L9#C<
zKfvUtm|S}xBsXF*v=oxpV={diBy%u%7?W>c^7Dfs`86gpdm!n;<h#ou`4J}XUjfPO
zm?STSq=Ly4nEVivcdvxxJ(z4i6p|rKmK^~}4<^6C<PVs<XB8wjVRGNmkUW6N6{{h6
zHzu3cK=N8l79R`AQcNz#<SI-~JPwjmFxhu4Bug;)@M|Es2a~flK(Yms3r~mS4VbJu
z1CkAx?0F_6FT&(|nEV)%4{U<u4ontqhGZX1zKY3XnEcCGklc#Nf1D4=qnKQ^6_RT(
zdG-QGX5=9`X8@A(F*#{FB<nF5EJCsalcN$yj>Tl!4oK!;@-QZkVRGaUBx^8v3X{KL
z^58Hek6`ke8YHJ-vak-x-kAJs6p~+J^6`rx`4lGS{}UwJFuCN7kh}?#S6>FnshI5X
zCP-e0$;FslhRG}649PK=?EV%=7GjdS9Fl`D`6VV#VshNOAUO$>S^o^l?wFi(4J7L^
z8N3#f9he+-9VEwMGVOXu=3w$LCXZoq<PDIl!Q?4S{))+i?}g+MO!j*pBnM#fQ%rt=
z$&<H0@)Ra#-U`XNnB4F|NZyCZ{kK8#1x(&`2PET|obw?_wqlaI6Ow~4c_$`UV{-C`
zAvq0`{qKV0KunJQC?sn!nSM7Ub1-=rlW$<M*T*2)7n37C4#`oN%>D!<^D%i0lkZ@1
z{U;&08IxK63duZ79>wHwOz_H5x=xo)cc(M(>4Zi)x|L2Mq4Qd3PY>;wq=-feNTr|+
ziZh|b4O#^v13f__K6&XFOxSY)qmR`9ne>7Fs{wROD*(B|z!kzijU{K5ca$qT%Q>bq
za;SDz<(4vKxwO}E94-E$!*gSrrnI?xKkGXpFr{;ngMjROV<tBUrZ@N*urp6O^UTxF
zL|D%3spM~?Okcj3iluBxH{=~{%-8V|DbD%*C9oh69e}!JzaR`2-!T-S|H8flYyo&`
zcw1#iLN5CBh1QSq>$ygWb49I`X^~MrSTxl-noxV&W$`yJXmkNc@2`v^1Rrng-d`CS
z0^9>_07Gr|3H<k~0qG=P`oarduzp(YE#ttR1>o2K0LwcYD^B(W1_^&G?_$~IjTfC&
z2E+~p7Y5)mJTM;^pQPu*`(A<|3Vu5i>WD)>Xaye&_~vv=8iesJEbWv8Brk^?s{8+W
z7yJc>tAWY9z6<dQ$^n#X9NKg%+W62ea`_Ab2P-?l49p=)&DXo?g<bX4OOM&K_Oy+s
zp0wteO($(!d*<5Br=JOr?5Ez|-lZ$MfG4Fo7*(sc^ibcdK4#s9&1+WXz}gazbWs!(
zb?VyVPdatY(&a0=a`t~vRu9_FHL%M8{UT9F-14o<$w%9h)IoNWH$$S_6e*s}Bl8Pv
z477F_Ec@Fm!TAJP0*GifaA5=o!ZxEv8jGauW{3w4%Y0*Z`I2z<?xk}7(C7ddPL=Hl
SvAYJ)$mI4I7CXAF_x}TMJ$6n2

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.labelers.doctree b/docs/0.10.5/doctrees/dataprofiler.labelers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..0b2b616c1032b37b75cecb909f2e7afc37d265f2
GIT binary patch
literal 11173
zcmc&)Ym6jC9pAm%*X;Z5xI>w{bAS-`a<?-)G?4=lxD!0~ZaLr%5JQ@t>7J>c>**f5
zt8aG=8bmQ{Qm6^d7xl9rOwbr&j2~1IB@vMjABj;DUm&R8{a_-|-@mF~(>uL8vyiaK
z?sixGtN!m_RagC=9Dn}n$4BIkSn#{da@MQ5VK}Z~`k|OI+(ytb9UeXx9{WQ0xo}C8
zJble~1FvC*VgwWoX4!^kI^koXm?v^>*?u(|Kk1tdZn;h}oQ<;yHu+e%#7bhETiiA?
zU1I92UN>#i^FyKm$=C&Rop@(@o(`oPnCO6*=<49iL$*(pv_w?4S4>0_u8J|+a?Efw
zsOw@{=iIaE0f%O!$zIFwN$Salt@}P2@jUM69rZM21l{zdt~V}uW|L?FG0F87b%kt!
zmDwyi%=WS);_li-AEMXJJ^biRx7=LodT!gV89LYT)U=>g4HEh_C0S2L)sEDzdOnmn
zy0Ryzvl(UY)L@HogP1($8i5TlrIik)@2PEWf?zi&!B*K(QlEVYI<u=`)@$*59e%IJ
z?=k4Zj!Qk36*)Tr0VW_o3BGkZT{m!yjE|K2*a(c^Hn?YI{TKBWF=AzLFl&!QZMXnl
z^ekogS<7kIfnk!(q)(<g`nq9uISW_D;4Hl>BMPo<*={}D6cfxc3<Th&n2Uxc4O33g
zshgf@gexOrTE?62I`#%=rxC{~S2DsWc0?*a1>4<`x0qOn^j%)_^lsPmLOpN9+c7R<
zL>QfYJoZ^+n$x-WVpFkIb|2DYRb1cKWYxOvn;La#QSgLc4p&8G8{!U9+LlyH{izyE
z_cYtp4UIRol)4~PiCS-P6GP0)rmZy`Co|~A0v42MR?}+e<U`FfyROGI2^mtd0%aSn
z9dsOxaxTN;+WtJKH8zSbXT5G4LL_IygiKCLk`~Mv**GKV)&1x6%$B*Hk+IyLEY{d$
z_Y)R&na4Q0%+}dw*%R#Z>`C?%`;y5XTp42*R@uc(_RuDKc#}P{GQvK!$sScX8;9#G
z!mg1ISEdaTo+UBCb+2Wn@E*fWf)?U1A^~8t+*c7KK@LsCxaDI+_zY##R{)EAM_6o{
zIuATkt9!cBU_Iehi;=OWX_jMgO{;b{P7;m+E}T}yZT63N0@2Yp9g&A45X&*l^{qfw
zlz~}DS`uSj-SR?lMA_ojBBsx?iB%rzr202w?(eG!B#f7^O6o137R#tFRxU8J(sXUx
zT_a1bS+-rVEuU97+UtR3^JUAaNEq->RH8I-Jv{4<Aq`N8ol}h$qW5&pbTRuLZ28^6
z7qb`MSChwnm!@B!WejmkU`NKyI3V2zU6CWwEN*r(lw$oHLAQT$`o?PIR1CXk33X37
zj_j)}R}ws~$n8u5vXmnnyQu2)P1VW+1W$vHkbb4D+8A)YM<m*UkVvuTllRnXufY<p
z4(_#Au=@T8X*-T#FH7T1r*_F$BU(vIV!_1XZhAU5jbhuD$m&}RdUE$xR0@A5S;yaw
z_F(U3%G73WL-~IWZZkx>wAmPj{e8<4klW+E0iwUauy4k)i`s6&fhD?&>Tu)ZSQ&O$
zVxIP%(UB2WZjaDEx#=EcZyOtl0_(p68p%x7zb)(A6onn%=;HHd0=QbY8hGg9+rU~6
z*#y2kf+jtR(W=~8{|Q|GxD(gkg9tHS%#~J@pJo!|CHV1Yi637-uQoA2=abXtv8hU4
zrz`l0P$SzR+kpoUaxZ9b%7!hyH&-jCEf1e>=doq$>773B`aESh1P_c$WRt_dM8;6h
zjMEY9{320sCgqkOPET7JA~&iKsSOn(G4?DXxQ=5atow(Ud4xAV>3v_ynE#=yb^I8l
zvyBA31*R@G^A;=2Wv5I&{&KCUCC(^I+_Ni7%)k<-`di}9c}t{#vY3yg99p&?BVp*%
z{*c&8n~E;U%57~Z(c?TXLG({c(YOER1s=8^Q7Wby9P00;ydFH&qi95`jU+C&FYij5
zX-MhqR+}peGB~G>IMkm`ksT`RPF4IW=~iw(yDJqb);5Pyu^1@ZS7D-dnf@FmVJ6x~
z==muA5QYMc+ZXA1hw~5sauoi>tg@I)D%>IG&EUd?9#k6y7<%w=Kx~}v<r4cW-<<mD
zhmaHE{($}syohEI@<pX+9wFZiF1$v<?2HSNtlWNmDA8kFn1|A@O3`=5g`X=GQ(U+*
zg9}+N<ua-LW~xZxkkl2Dy4-$iSNh=WvHiE*>T{rI+0AV4_HU($qpM$6s@DHVpK|-1
zU8zND@PCF<t2jjmK!cYDU`1%4g1(ql77a)Rg$CQx{}^;18<4-+mTW&?yh8+k_7dfG
z&o1$e(>NHboQ;l}Pfnjwr`~cOhArYn$CsNyoWvMJ84=3vWc!luoW7e5X)D~V(79oy
z>A9VXVfmLT0iCE-9={8xl$pt@@^q1?@WqDX9&cmmw$(e&ed6|GkH=yJ88Os3S}Z{-
zUZx!&>7_?*TX&B0y-LUNn{Q5I_trf!c5k77L!;wWaOg)ca=88DZLue|@j{^oq()0D
z-78N<v&E_=@2QRtDjo0Nm5v9Y<GKDiZnFYhSrA@I%H)%>-6EOPLQps)RYX#k+tyHu
z#OuKoP{fpq?7SY-mBQ(I5bgT%`H)jb98}9jjx2UfL2s(xQ>0kA{p7CnBS$?klzzqN
zG60Zj1F#|>Rk2gdDhs5f!o70d%(m)_?;YkK;rieWa%~IN?1VFC-ZP<Oa4g{i>FD-T
zhDn(0NC_)`I~PJY(_4_&VYq{7;)2Y<b#8pc%f`j=A&@(c=3@hceJVOWuFLK3=VaS9
z9osJwwNhxO6O(w;O0fJb6-GmBTK8`aja+)Se?_t=wCYElct{bJ+rJq`Qx*f&2O$3I
zQv7W#!{~$dmrBhPs21~~oY&zWsSaCdQw=0px&5zQY4AZv_SSASnBB6#XZENwna(&6
zd)iVB_U@H|GfMvkUfE+GPzb#<lm^8JHvpKvG5{+AQx(<4tg>KADkw1Bo}PB4_YBBi
zZFaVwFW!}cf4nQ*egFiB@6pxyZb~jDJ5lLFa`BjLx<0LFz`03WnGshsWTu&luddPy
zOp$HNO|(}9jGPFy8O3Rs6rQjXWcpDt-v~S^QPGlul-amN6{d(O-{c&dWmMbjOUh@k
zMRvG}!V59+kZuR4gGj)6VO5k`rb8DWu7@lCl7Sl#pX;42US<><?5>?lc%6=31JB0W
z94Z(zDrBKvup6iHhmBC|Z@MmbT#g&qq;q9d%u($Q&bqbrri;rTw9ErbtgeQt5Go1s
zF=bh`pk_z5XloW{n!JC4$lw?aP+uBoKrYK0e_1jRuIv%hOt-nJAP85+#XfT#m%Px1
z2Y%W*ZkY9;h2isSy63=Fpzut+gO(CU5rRo_htG(4%jpJO!(!$dpbAAP;LYWaF8daq
z5BGLzrsuhy#&DU5(j3^CL~Za;EVu#hon>6kg4^F*Pi~5~2V@cRYTi_ac=X}kj@)3e
zNILj16oZLu=oE@MTX$N4-ZEiv1MhoK<01~=NZ$1f4FxfX53r%CnN=~-aGfU9ghebv
z>n7I`^LoHtEo~BeECkh@5p=p*5_mAIY_Je>o}=3|;eu>|bseAFpEh-UGca6jy+a|j
zXs&l%6ryBD$|z}Y?Xu-tDnu7Fd=u(*n-qzpoQxBKoe;B7#zzXsnh;Dn7m;brxB}=9
zJ%I`8tK?Ox>CkK_G7vMU;(^1}D?)T1WfdaFX(148t7Gx--jToldtA(S&2GBaA$4Y{
zMV8S}dWZ_+yz8H=)z;S5P-MWF>r`E@RWr=XHBkDsP#mNYQWT8Pa7hbCaX4lQ?aSBQ
z@L^bX-fK2;Y^Wt=b2w(hT^Dt7mdTrv4dWdfEJ|FjBZ~|wcA64L5R)A(NzY`frukip
zkWI1ZZ#Z0E*O=8}HhvMmW4247KkIjNl-7JEKwkSW)B*XfUQy)J(4*q2BgwsSRL5gE
z(u5d&Dd>U))%2;IqQU`GS)s*pnuviI81@rX_(8pwZqY>Tm4RH{054{u%4Aa<Y~Tps
zl4f>v%hph5=%MyT%D2~aE>oGFm{JgdoJ4q`XhYsXX{t;`mV@mBBZLb_4GnJ9aYszm
zd}4o3t18?>GiGZhFB6m&sQE+tBsHq%rS@4QZu<=VIZc1=#GgQvh=T6<WU-*6S(W{(
z0lONdbaDWjmDE_So@ZYR#9Y=@lFwYj0+^AY;H_FHBV#(HP_{+Up%M|U?bKa6@xCOz
zBG;HumwIL_#a!i}{XO#oTs=-`elR~*)Pq7f;6(#<e?Ws!%%J$nhI^p{){MzhQTubS
z;?v;+h<H?&00B@n=>w`1!vr?6&G_V)_cwf`P28F;YEe~ay0MFH-42PnJ_#3iv|?3M
z3{<XBTY&xrN!L^?zk;<4r$W(ZjZw{gZv2kiyUiL-3-=4y1O0XfIx!xtVxuUJkoUo3
zXIAgNkCqZu9?QNFRiCbmV$Sxj)qG+mv5t)KnW$zFN!g+bR8&0x;3F(lhj`Wh1GRt*
AVgLXD

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.labelers.labeler_utils.doctree b/docs/0.10.5/doctrees/dataprofiler.labelers.labeler_utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..c29e30d17689e2741d85e1cdb87dec9885e98e15
GIT binary patch
literal 541413
zcmeFa3!Gd>btf#@dbVZD50H%q+t&}Q9(gp9`~u4eEXy_++p@7`EHGxKXQpSmuX?(N
z?jA`4IG9%g;f4(`!5D%=vUx&6LY_-PLIQ!nX0yp|5|-B{yW~Z_1wzPX37dp`|8weH
zeQ))>-81qiS^r4XbMLLHQ|FvIuR3+=v5h})#=7<E=)YupXQ5Vao*b{t%rsjw)y{IV
zWu`T~IA3jcm*2TO`nu&um&?i4cI8B;wb-7nE+^~o#dNLSm}ys=%a1H4=g{ZfdZRNg
z+i&hvr@Qr5Q#Y?|tZk}oeq^~^+nQ|b*1L_W^(s00?#fiPQEf*LQYXvwA->yiq<WG7
z@L#`anIS@#7bKe&DuAK8Tstq>I-!BCotbQsupUk}H0sUj^5Mm)N>ZwHyY2eaVi$9y
zIh|Rb=@9&zryG?{2M_UkW3w_Zer=gqTrhu3Ri=-%tF!dYVzRkgnWI<Bwe7W$+P2y=
zYiHIjNsjD!uv2Y!_T2N(%dWlYx;+c+R@~V$Q|VUlYqpO0?E!?HJpwZ4#dt#?prd|F
z2z0hPnA)Xxov}DoTbFFCH)pCRExZYo)-J<TYL^3LSK|Mkh5y@${~M)g0W<A7Po|t~
zSg6$7%gHtKt(nC}_2$TiOO5Iczntt6U+>QIac$G#?s8?Zc1>-!g_G~;i<8-ErMuX!
zPE55c&FPwhmOTnB>W4(j!qR@iBqrCKi(0d}<^nXX2O75~Tfs7wxprltW}z}EA8Iwb
zm3p%i%`P^Xck!#$j=HrfcOOYm#szooDA2(0>meZKpkS86wM&U5Gl@rdd_H(;P2o?`
z6?hyMVnMCz%z3y>xTyn*VeKa`nB6zgt}e9N-HDm{ba$fLngBV=qfxouj0Dr=q3Y;z
za#If898Vo>Ih|wQw?;TN3uxjSNP`U!)YBFREBU$((im?hI(0}WT3FUM$t|gfDC?*D
zBcjHbVD<?Xe*2?Fz0)0yc0Vryg_!%x7=9ZMLK=g_pwbexjmcGc=%E%-zK_iU+5`@q
z&t5>~<Sa~k_X1P`L6w|MK(cJ-zpIXP+<J1pvA?rWA%(UDO(43DSC?ts9m6PdQl_6K
z+_06&;nU*jny~gNQ^?PF>tg%$A#86UYztIxApm-@Tzj<kU4+ud3`%RSWzh#7I-h|i
zaXeq`R@=m9HYZ)7q0eMX&5nZSbys#b+r4gd8|DsLC(P(}ldZam!j<*J#n1b*@sq4?
zE>~=pBSbt2M7)O=@Y8tqH2eZ-oW+V~FeU5vtI_ex9reSZQ5Skg{aHEcj%0o0b@d**
ztJ)7Ku@3nHNgx2gYG0@}XCS&KPQnDTFeNRJ9r9}z$p2{foUQ3#SypFfTJuo8%gGrF
zOR!t;pu4nyb-9rj?=pYVt+eN=-DNox)cDeVp(vJ<D|5&kTI5UnMSq8h5}yW6e!E8n
ze=v(;)l3zqc>LYya2ce1LgVl}HX3X>Dw)rq`7G-bMQ-Pri_>oeaGDPKR{_z_X@~+m
z^_@W1AML>kaTIl(!ckwfJF+>77dRXDpHToA2I7~_WaFp7Ke7AD$3wNx83w9-!DSsD
z#Acn^pQNxwd@csg$r->wZqDfc;X8m;sd<c;6sopeg)(n;ti_j{sT6Xp7oYsjMd$NZ
z8l5~we{9~IhE2;)k?SYEiQx0+Z{h5b3VAs2+8{HRlM?Bk)>I5fbJ<nwn+l1A+81h@
zk}b1~jRtG4+8aqWRBM+I{_k23c&3O2Sz-%9Ov6#IJ!548mut5uu1@yd&(vb?L72H@
zJdw9D+iuPCW36J?<kD`%04+6@<CrlR*K!k@<_a&PHX-I3S7l2~cWbhJraD`1)=4c*
zc)D3G+pP(dnDfm<y<45Pc=RZ(;oDDE<`){(=-$Qd!eV!SDRTdV?KNHRU=(_c-<3uq
zie~ri?o7AZRXpk}E|8;8LOT}U(O%hp@AzK%Gwl~X+NYcBlTG$nO>TU)c(`}`IjYAf
zx~^23uTQsIQRVoY9>#omgC6h(*%}{RUz)G@P0WYaU8jb*-VAfSR0N1}!1A#%mTdRX
zrL;oNb3^wx3A(?b2;Jk?(bt0XTWcfnqxh4_UNR)L2&vqQt;tzajn?$BiB~SRy0+mj
zKZqYkKWZIFHZkjBXHHtHIp_Y~;Ntx>t&#Xi`iH|ZIX!J&0~^rty^M%#U4u0fze^1A
zZvNC-_m#p7DjMWxPlcINFp|OPFN*2@JpEG`r|{WgfhbFsd!Z@|r|<M}T0M2^5!TEp
z8qMJL(*n1j8VI+va0SA`xP7}AM6B`fr>~|@jaWE|KYL6eOL-IJj*H%v@(`^lN?{iM
z4JWGgxmve6<H*%#-=IXJ5tldmLJ~w7u(d(*R|JHAN&ggP;In{aH8*=wM{huPham;`
zL!s9@5&kz<ZC2aRUrSN9a;(}k+J2JPd40A%&2FBIeNF0MV+oPR`b;(I9BWi7?dEuC
zKl`#!gYwh;_zC4mijWNksLM)wNemzxmG+a<WH%ufPW5E@8T%tLbvhI|<);9>Io(*C
z0d)|4qll*%NOtJ7BtxJKTV}MhUs$C3m1ToA6hvuu+00RJM+-1}x~)aP(I)WtbE*7x
zBs+7W&-kqQn}BNn+oLxbHN5!%q|R0mB|_}S3SC{8K_w+~pPouY0~^%cNc=C}m|;co
z&-Aqb6s)x)`PRQxj?ioM-!2ML7&a)XwdH;`S{eZrY!gp2!wIJbf?CAl+$Loag@I2b
zHbQ*&O2%s9%g?~x;bypC9IJ`1pg%bbX#Ksp*%G@}Zy{G>l7%mAn6ZK(6*160Lha$?
zQ1y7FftXo!qB1?b*se@34YGM~Lyo}Fc+W@~8wXFUm5qZGfO*rP;@aiq+N^qT^lGq0
zPqQ)vI;oKA%mj(`F18XU>P`F)+mK>g;9*h+4@1B|^2k`!Z7)`Heb`)_pAd>?KNJqO
z8@Tr+2<77(rxxK}>UNBj3%WjDZBMm2P##mQRwFtP9l=mzQER^5CE!$F-9>nr52M9c
zG(JB52)--tyzk&`JIA7(4<5ej@VyTm-Z?rJ!GE7!BzJRSz5<{8<OFTavRaB>6CG|f
zt7u36@Ro<@a<<W`02aapwpMu?yP;6G>Kh*MEm&CDR!g~dvbN*|KvX;u+Zge4b=zdk
zv*+tHO3&+IMWupM-e}Fi>i1qf;WWRmT>HM-+ftE*4GIfc@nPzQ7tK30RR8>MdO1kG
zH^J?(BIuB<P277V&{`2Y_>D{UYLM);)X;cbK_jT3JkjyE6CNNnK&}Spjgj*kdrezm
z^6e~BjbN3i>kaWDu>~7uE*{<z2Gerf>}{772${dB2bT{kGOmBv1M&yMK&InT4v-HG
z9|(`IHqh|vVIT{l;Y_GY56{0F9-ufDc#Qr5|6X1YT9Y=59`RuOlQ4`yBv=bKdw{PF
zK7eZ$2Zf0DsfAjljj=lzKLS`FaEuJynbT(K5uZEK8>%Ij_1YB{r87f@MaFzLp;2C;
zc~N+PbmGbZQiLYGSq-5%?)97Pvahhv+|`52Y@vBD3}iYk<pBAF=Dpz&ES`P}(J&PT
zvLG5#gyuqcfZ|xlDKvX|AzP-sAq-;>3Au#k+Xo-OlZ5G(mssQ8rxt31LUX(4KlTX6
zlKDUhMEj8|1b;R>)pYnjh(>vZ;ID@VNGFyYAVmn$n+zeyoR*Pak;3VJ==C(T*vrZ3
zzt70?MhoG2Kt8#wPgtRcZ?=046!Y{vcRA?)gz=a@vu`pI^7$ScHn=4BP?yd@a)1;L
zqBj{FbPk0$OyEUgC`EnHcb+A8aTrQ#b>~$dJV<|Ya|Z@?7h|>--5mxp9hGu`UNodE
zs++?D6vsl&Mb(3ZGsYstzx2~(*~4Kdi=qJ`H*bKKhX)t{4K&6eypXL$TVWVONbn?5
zXo-8DS~CwSxu>OtJbNV8X8Dz(wEo*A_xFWonhyS3(8yg@nfa*kd&2{yqf!o#BBAI_
zhJ@Nc5nwUh-t{P6x^w@q*Ow<eEqde?OAJAOR{R;ppEq0()ft!o5!NN=>1^TF0=AgD
zt+u^$x&DCS0Q_?2{|CYOC+k~1*~0OErY0kCm_C4NYqF`{<kMBwCh7)?%`0fcA1*+D
z5e5iZ*|U|!Mt6etcd9OM$ptbOY@#z?X?HmVsk2O5OYxuCFb}xqt{-GWfu~xw;&<n`
zy(m=pk6onvOAsj;uJ}KqQQj4L_C|L}d3>3^LgfG{d`WLIR_Jzb8%83iceQTh4?T9h
zG7M+&<tj(%zg{oH$SyXs&4?SrP^M#34$zB;lw950!UGgXL(W{?9wY?Kh=;;Z2GL;r
z&@-`Fr&bC7c9%wVMFv6Okv${uvLAx%3_gG-Xws#7coi*9#lMfmq<5JDqWrBvK;ti>
z8$VB9$@0E1{J9Oo`Mvw53VUg<Tzb7P4COa`DEkX_0lbH6YY7AmsdC=^UMZ){7S+>J
zTPj3kymfK$%RyXZi1nXGBUcb*8(zO19w2=M$^lZuI=#sd>m?ZAa)VrADwiPpg4d&`
zcPuLAG{15Rvd;=6rp%GvICC_TX#Hyxb@9uk<llO&ym_P}It&D8+>62ulzQNeedZ<?
zVsGpmI84q&nvQpjiU;bi7R4OA#g{JV!hBUg&|My!a8S_og~1VY0^3qCq@n)0FeC#A
zGXbE7Pm6@T!mR(dI5w1;yb$k4T94K&=VvCf^s-^9ZFYYU8TLuXoNGC^ZFU$VyCN~$
zHmioAOkb&TfD}Y<?vJ-1JK-TLYUV|R7^VMe>_J4(KKt%4oCQ%KPK3H*aXCCfaZHFo
z20%o>!25|XkRdemU3>D>TI%vMjpG}!^DB<8#Sddm#xJLQJA1{%lX#NvAS<0%i>IiU
z7t?;SIIbo$mgvM<e3RVrhQyu0XG#Fb6FOE_{-N7t5@n>4C`Cf~bZZ{z=ak2-vvgFZ
z_=$SA#+iQdfwtUNq%X}}@$V4LM&eI~NoVmF;Q>e4;^)xh`Q%>waoHG>V{1~Htyde!
z6?6}o%M(f{O2e<Mn2N%dZpp_3tw2ZVK6P+iR;<~P*pKv7I4$i@i_9bb?_%;_pnvp?
zNC0YJrdl&gJ;37iSyMR3SnZ}ylZx+bB?S1V^duI{agA4Ky7wk@MrG=vTxqu}OQ_b-
z9UVoc<Zg>okXDZ>LNkhEsESIxiGzP7IvhYb_X1y3MdF+W&I{te1Qq{iHRr4uCBft`
zsj-9KxCA(3b8Z{zEF2E#EZ|HcPHQZ`*%n3dZ-FA-f#G-^^*j>)6JCKrJCZY^vZpTS
zm1A-GYGz$>u0lk0exX+B)SYv_BGF4(DJfZB&&)kJ3YA?f0KO3agiiL@s!L>q6Jn|-
z7aH~HdUyFPS*NVyOVM$BF8<$}<MZezAuT>1ztpjNiK}=7&y;XV)|a*I?c?tTd}re?
z+y1qtC+Xp#+8uKvGqD<1{^jz`9fOR02#xZhHr|Jilboo1A-*k)+W6Tt2db$BZ^*~(
zE9hO`BT<TV^5B;Dt>maF`(({Q#yy5ctAf`BbX*v($@)>nI{4+X&36wnJ%Lt-MdLS9
zN0N5_Aj^XfLag9-*CVEOBpahIKlV<4^DyN*lM9So{=U**qbe!ZPD)vuU5$z5S3eW>
zz)1XUmdjz0@huY2IEBTZ#{YnSlvwJ~j7QQF?=qAkeVmDr$kT`MdeBo1oMff&NoL4;
zt#Qj{$8Y84kWB7Z`t8@zRfc|}S2j`nu!h6YRF99U+6kUc%VGYk*Ik%)Qk(rDgO~lO
zt<4IF+|QxoOyp1znOI=PnPgDpetnSnN%Rk^&b~9q*#Ed%xLvnprE$9hJ=(08%@CHU
zkO#MY)Y;X8jC&;-t%^D;4}{l{s(IcZ^GjP8p+W8%e2_GKM#I~@fNxUuS;}{umz_s&
zYjK<8ZXzXy4OxFJ_N#rCAaQdME#_sqMP<shDkJj?NBh)yyhns%M{ne5^KOey&mrfe
z3y%)ZafTd^xGyR*N;19dYO$WwIVtyho@+$1-a46^6Ea1!(pz10m7%xjl}&~|dW+N1
zl-}Y$T%f<t>n@k<`CbMu`_qB-*1to?naE+iB`}j;Z~fRH^Gg{d!GR!&#-5`=KR@^w
zVd}}^xpG|jmrK7-3^Mj_qS30z@K2)S!t_gm;ovV0GC{e1f`-Q?Ax;!k)t@eUzdFe1
zf4y4h{rW)Y4Fs7tY;}c6_L8<NkCfFB^!Uyne2_E^Ny9q=FhfJ8d^eh3Eoe4K3N(V2
z^hfQlC12TxTMBB)=gaKMs7xt;)k;$aIuZ1YQ2CZCqg5JEg$QxtEICy$qhRMub!u^L
z4$<>8g{U($r6kgSYb>z>e12|1XUYhr0B=TD848eIIrI;%^34(pYMJZ5UC@tso#t8y
zFJ>UKKOI;Nz62d-qKMU?#!pW`qz642%OmBxU0n7iAD3wKB}H0cf%xP0Um(xvgXV$@
z<Uu#pQ3gRqsjyHNwfp4`0IwQZXb9#awK0W}^v07s@{dK7wru?DNx6Fb#~PKqh?3l#
zn8_h(5xtoa2N~KM-KSUi7g68n#}9kmWv>ZKk37lXWq&&G^7;4ZI1@R%d<16lTah0b
zWPT}wBxj780}lA<lKxYJj}o>c&vAKM$wL3J3(bEU1e!lWqgAmiKaY;{&@|0r=wbE@
zk(lz`HAO^##$QsX8HA!ga(|)trap)+C=_3inl>15(KOm9y#wWDxBy#Jt~6&*RHi-3
zW`k}PiMljtVlX4=P)fs$w;Go$6t|aLag{AJGI>M^#k0^=hGjvo@(V@I>64R4Nrt}4
z>ns~&OC(;-z-50rut>Zb9cQA3MWV(_k44dgmW<_-@?AMM-)MR#`P*RO_+$28I9vLl
zxM$%6yNtgnc47X8cVV&#N4<Vcd`bxtq59kO>F30!f1IP&KNO#;v=N<p;g+(DWZ}bz
zN-~Nf#k#hkNaK>6-2X#OsklWfJ`&H<KY4d!?R1xO(OALV4<n)koX!%$G<CHjmq2B)
zQIb&zF1{L>HvC1rlYYIC)<s$W8pSWa=$lN=8K&;rVcY>Q(Va!jucc~Rlp>p;n%Z1s
ze~=Pzx8x}S7aBCZ8l0#;Rm(29mfRoew2T_&)dmWS&W;~Lf=p-p9{QUuW}#_QDiT*L
z;~Hh;j*7}<LS@uWVQsSa1sOJ6o9qeQHu=%DQaUe06Wqi_oNLOIJv02Z*x?L+q$L3B
z=AYIWDPFwHU^D(8b>kH;yE-33Ne(g<YM!3jPJU+2N^IoM_%Us>h`-#)eLOh1jI$8G
zfkwc&m7<@07UB=W1Ei;U$^lZ&3D6r`7TZVs++``I?Zr-jhI72nTzvec*MGLgvrUyi
zsV;vwJ991lo{KLtcD;eqbNdCJT>W6@ui9zrzslWOWsbIcVylOJO6CK_L-r#Vaa+%F
z36l%{jcAmYkuD4mkj_YQfD}feHyMm%4BuYvNil?Xdp&tGx3Xb#vJ8*WpHD^^dERL0
zd?L_Lgirc^OUE11#G8A(0VT9OJ(z-1eB(t5Ub5mir7`;B^nS)E`PhE!g5Eg%VoAU3
z14{E=E00>~OdAFQ>!lZkX{Tgf8y-6cU&iOd_GYHl*F5DspCqQxmx)xKei|Q{#_=*l
z*UIPVe~1L4%+nXjne+7Dg~vqbzIpn$Ti40(7ClE;QKy~7W;9nnj#~3nw_W^A=3zvM
z`l#k!feA?$DpnghQ-6he(?U7^Q6m3H{3E%!fN(*VTb?dvA5-gx<n%zTKLWF=L_HX8
zoc8eflxKfpJ#!8RNDndlyuhy%!KFGc@Qc*w5^4V31$7sH-2y-W8vk9-qjEUo@p9%K
zid=z{*clQ0M5!MgTvjk$6YAVe{K#Pt{@2`dw8Je=qLt1jSCOdyjE9g`8PODa>j=~x
z$wirS(QF;~2F&jFX=F%NBI@rljGkDwL?Z<&WD3ux`O`32b{dn3Xv1rsV$)g*fIPUG
zX(o+0wr!<Y(RAl2$ba&%mpy~NWcml5R~DJ*tw*M3WKYY`Dew^p<@eg3P=C)*W>2$+
zP{A%$SnHEHdX-@<TF3o@I5MpDVg5AkD||K!4Wdsf>Ay7^*#W(Nn@fT)667(ZeblIr
z*s%_sNhKxpSba9aZeaB!Qi5?GNt+9=D-WRmhZ^{#|F>X;+l$N&3Th<26)i%0FvJRy
zXoQ7AL<@6`j72J?Q@cb&1j3DEWKY=@nkWccxDCTsJc!6%3lkENy#@Nkkv;yE7TJ^G
zu0d~exU+`KZ#b;inwvv_>jdt=K>|f*kbvIJc>;PF<E6*)k{?<t;i*ip``qu4T%OSq
z2*$<EY-+O^b1Gwp-wU>~<-IFx!m-2e)@@H0;+U}Eg&DL^axe3}7I!SGpU@~M9xOEI
zi{DM%c)`Lm%JO8>WsfeGYnS8Xn0H^BiuRCap4OM^nOjvB^7)g$6r7qJcFKx#4DL^U
z7-NS-zMQ)9C(~wcWNrKydRuva^1TG3^d|-V*h6`PL|dvqX=&iS*h<8)+X%OE!9VO&
zyW~zPk!w<OU?MkI9Ba?9ctg#y@fQfVk@#~GMy1f)MQ@XqCP)XmUr#N>f$l%n6AU(!
zmmI|kALvALxuK1?OqMU44(@RM4F(l@@Ei1t^&tOB(}NP)VRpD4T4>`=IlgtLU7dqr
z1bxVE*92~;uU8uNS5>AO)j>4loq054uF*5}<j<@XJ(+V7{j}zEu71i3mFZ)ZIeCZB
zfoSKU#ZI?1k86kYK3&SqLWgioAQ4jdXQxu{md+kr?{3m<lhcyeMhibH7j2bJ&iS<#
zcdVhGp^;TwLmNcL7g0B!hTdD0=Omk%jlByqdXOKQt-a0iLxl?cw>#NA!O3Q9?_GmN
zd3R+Fga=3uaLWNwqU`j>wmz-xy@I<k4|qLg>!vJg#k;0H=dR4Xj683&^j(=S8elKv
zEkU>toNKT$S6>*M%3NEN6jf|z9=Lq>`Y=QTROk|bx`u*nm?-0yZgknnG_bZhFU*kn
zJ<DnXeW)fU{%|Mu-r&SC7S!Vc9&5)ad%ygr!ULo)C^<mNf}%GW3u?gHfgkgF^jO`B
zov!S{`Za;XlsVEHXO0%4v$y6x>$URck&fsv5V^PJz7ifg2Mz~!rNk7xg_JI!!faJQ
zKy5t7rI3s3pn&QNgCn3Ur*=n@wkdjH7?J@5lK{}er$xbD!PNg-^5D~K4cCL;;#jLG
zyTaxJSBTvhM1n0<b1q>sQ2#CVYcY5MS3V6527&Q9tfZB9<www~a^;1g$FBUDa@nT3
z@@31HKX9M$7Ng2s1$T(Up>MRSm6;`6;Vpbe6yg$_cDDB@!sQ+9*bmu@rg{7@(R(C*
zX>PJBFaHdhu<-I<A{#@--J*6`llyLOb{28JI5xN{IDO9B1}7?=l<AJqj>3t0qY*V*
zU6iWBUF@xr!Unx#OzEkwe8&bGb%Bk!L9uZrP-(DXc+n5X0f{Q+p%@1-5A8R&4fDkQ
zzY7qHn8$1B7sovKS8B{d&~BKR$4z(KTJ2UIm~OSJQJHU9$EnIFN4R2iIT_FK*|_OH
zJ#-=WF9PYhBc_Y;u1b5ZGZyXIbqrCnxsC{yQa!uvd`m;63C`p5pmssKO=4ck<WqlY
zZef@4J-Jy$#UbBKEk@#H-7tB_T8Y9KjLFp5Q<#|iQyL%XzIW)-WP{82C#f6uy-nnx
zWY0?^`Pz?Mg8oV$I70Ukr@~?GBi`<@p>#2fi@%XS5RW|%Z<k`j^}D?7{@)7%95kRl
zgQgJLCUmfYR)-o%{NZBfi^0J%d>k>1E7WXD!Zw3GDL^tf*`gM08d}cSrSU>PU0DAv
z2x|~Af8!%&lMoyVHR?}y!1dd~d)bFU(hX@bR1xI#|CVgTG+s0<<9~-4uDo&d5yG3?
z=MXEAjia|qO7u03uD`X?sdn~9`&snvpA<(aI_>H4`6{k{pYDuL;e!eB$M`+`Y*H`=
zl2kU!)`kzvBVgoN9(jyaoa`<>AWE}tmNh^vr4jF?L4=ICDi8DqR*}!)!RUHJ<z&N2
zl=NH{)jhW?EbV4IEjxvY$+ozbx*3Vb@lVK}PBx*pnb!1jzB<OX#UDQ(eVdA+$wmQ5
zT3t-qs9JuDC@p$9T5&R1Osv8ks{GM>=pyd=G%^v_rp{z;CqDD@H*9f7Q=oma2k@P=
zps%2xoLFjE&^r#Hs`FwOCiES<$=ZrKWNv9YIP0~RN%706*OB;Tvh&<KcxxHCshE1>
z!I{cJ7mgF1&+RnobG2?`iIN^s5g1SDxLH)|b{9JP_w1RgcWaAN<EWUu2epkmtu~GT
zp4fxxAgyL+&s3u|wdeTW@qO2h@3me}$k$Q`?U|imQgp@_mae?}+I{<W-+k?KuG3=Z
z${f&`WuN5w9AvC}WTe{ARNuEv6`Cy(lvGa5R3UIr!AP2$Sv+<<9Ju1qUSurV7TfjZ
z_&C~-Ol(tIfyO+mvqqm^dKY<gX*_rI8#pd`Wpt>uu+%1gi>}?f@22Pok~xnsSKR@w
ziViMzYpr%?JUR&H_I~=T6Ww2hUw^zhGhVu~bY*lmYO*yu;L$}Ca%*!k=s|4Xpd0yS
zEP6?`-Jwb~V9BUV*`im-S67VQj2@O+i#UJ2#J=-lr;0A>9psVX$a?kUbajCWzo7=)
zJc>Y9z$ct#&cnz~07mpu*+pxri;x5|45l$Fm9Z|riz;0PIKqF#Usy>ePMjF8FtFpT
z_S~L^m`Z2Q-FF_k{qO^~?*_o=Ts0`R_GBMC<b%ydwbMa-<duu{Hc&OS6jc_es5R}z
zA~14-@(?R??JC|OhZZw9(MGAC=G<7+Y0Y+_eyV_D1{?G3`V{1;jcheL;LQF2=&m%Q
zD-J#o-TA;3(X9s`xbuNA^zqQ0M_zdEgGZu=4&HzN!NW)Hy#0ab-ut6N_a46O&Lel;
zdl-M+5gk1I(&(-`58sBOe2_GtDGG2S48qBhbs__kK6;=^q|#*Of&%ons$-6MHRl$w
zNgd6#P}PW%>muAEIA8A&Ga!u8oB=?MI%>19<Jz$}NKT4KdtgQX(<1I4pBm2p@?$?J
z=l12t-uF~-za_fA_0*u@DHj0C5Q=Z{L~-1~10DU_m0w0EpQ=a`S1Y{310|1ESVkL5
zE6{A<3B!lLqM`pRD(gpmXMIy~%_{|+Lc$O|xH$Ro0dVq@={Pz1PTWcI)JkG3e3r#n
z_Ww^BE0Jzk^yt5P$|>~!bfqGT{5MTTn)pk~h5-A7((2rpWp#cZ2z@7PI@(r&F;^v<
z5(Z7J(w=WM>(kLZiXM{X29smDPL@K6Tq68|<hAkW-o-8)%BT&~qDp;CKD>7<+V{xh
zc=S-KeGFz}t6iFE;l7}G+~->t!3FlI#NS*GDq=^Uu3BNcW4v_LRi!&7Uj6bZc&Lv?
z2cq)6=$eTCdd0P)(XQy_v+c_Ct6xs#<=XSF)^I%<?JD&?eDu|2*))3j^bB@`dOsPZ
z?qzRcUXMOXFzm+#NR|1hxi~+;5K<WF@Z$UwrOnR5II6!AmHp)#vJnY?v=M=9+Huvm
z0!xeY0*@>$RH>PGK(-eQ%c&|^U{pF17>9*Ot%WyUhT?e9%8|t^>=o@5JoTHNR*1i2
zT{o3%QT(8^(I&wk1|D|8KI3(gt!_!d{xe39Ba?zXdNclB0e)NO@EiXn_-!5Y+qyJ<
z>wO4*lTD*_%x}G)5WlIXYk}XinqMhQ{@Y!-z3U;jfPT6opyS7_WrQ_C@n5qO{@}rB
za>UtN<vY^hy<yvQk`D1qjzyF6_33tte^lrPyLOXGv_m%EChk{{xGjloYG?${j`Z%$
zqD`{Cz#RU<Tg$FM*d$<7;vg+)=IdSuxr70Y%GNejzt#*bYGL<-X|u$a0%{|p&-B6~
zYW=woI@vohRtk<KqSB#?*HK>rD(qi40u!(>$qX#?rw7XgL&36<*}-&)8xhF$C+i|i
zyOLoc1>P3LRHi$|*40Bncu^*Y8p>vWlQNIoi||r3{xY*tnCsppRFDeeA@nZHEF?gj
zg317Q6~eAOqWeN>bcx)}Ua`sm%cL~v@cC_398#IDH#t2=*^!RjNL(iEM$~C>4NM|<
zT6<a6qD8h<Nn3hWPbr+TPYN=(7{LYtRI#o2Lo*Yz>}+nN+GpI|-6vZ5@-DzBbjJcI
z^}Z2$YfBSYdr3M5Y|Go4_iAHM<7SP)h4ty<uHWJwi6@vA;T0{*F1(yS4VPW`;cgA#
z*IKJFLyUiWqdJef4-k!=jg}_Bqcaf##}ztUhded%3e?9GHI{d$;3HxF?;B&HlIwua
zy3yY8=uWEOpxV?sCDP4fv;d&v=jJOXNnbnN^!CAg?p?#ORd=dZf%Qa_o0r1(d)%3g
zxm-&jVVr`+Q<nn0^_Idm8>dFIB<^#tg5TEFrCTNiJ;ZiC#@{6VHa+ref5HPGd$yKl
z_eVzWuU`Xn*K}MH(4<hP|6+X$b4!>A1s3a#Ts{Qrw0!RZ-(l1kjUK?Z4IFTOgH=mQ
zOYFnKi|=%4Q!8DC^gFKcd$~C&*Sh%(V<Kza&|7caj2E1v;g+H;L0NzN{*?XH%2M{a
znJ&dtT+-f#2uj4yUBW`1A^??2){Wec5{mLKjT#ma-|}#s&7HXj`*%UY(p!(PyDY-?
zo1un0DbflA^~dc`&~FqaXs}CFCFi9%di@$ISOH|RY5VNFtK!eM^QS9TC1=lhE|Ic1
zf|Q0d!N;gk9~0d2@;7lQX~DCkz2u*U!0HJwaZ3?+xUS6sv<PK#5!@2Z1osM~`7Bk=
z4og@qJ?EL8B`?5N6q%kv_rugEKf1TcoG4B~7cljfs&GGYf$Zc4(oTCTa<6vc4j&XY
zT!y~IlnXK^Gee{QcZwMZtA&^$yy#_-BjZWSG<*~6dgh%?<X%wGgKA{bu0`NoFOKj>
znojZiiAE#wlk`vCXpX&&GKR(qR=9VA7CX9QaRIUZD(<|;|ED?*6#2(#bjq@6kMphw
za&**>iN$Wc(XkFNkhxN8&EVuiu1ZG+YvcB~?lA~GEu=!OnPNwokoPOwFrU$~yfi@<
zGILdRkybS(y*B4jr-Hni>V$}HS#MH`I9P>~%=v(AE}lj9uKQ5)Bn!BY2N|+l3!M@8
z4c+#1A)GnDaQ8~mgN1h4I*EN=Pw(;*b3Oq+Au)u~LF!MJI-l1VPCH4GaYo^f(Fh{K
zIv$*T4*Rdd1Ee1hmII`mQKmPxc(cx9Y(+tG!T4D!&icZ|!asYxW~&ujzXht5TO-*g
zIb#Z{CCEh=DfG*n*bQ@pHQKistKQJ*=O6@rvel1$NaVk8w=U~YEXP{=X{<w^SggZ;
zx=4%8cS(^8@@Jw^Ue*~850K6}a)1=pp*JhfI=6YfdRVY_Pgaq2Zegr?L#MNjz|VlJ
zb9FxL(Zf$?JM9!(c~4#LnhWDKeR9)`hkSx*F+4yzcgX=#xQpIoaM!t7Fu6CG^xEK-
z*l@A&R<C!D)Tf5azDHm;W%BgKnY^VMvMWdYh}X)SR5}I1KtQzgVl{0m_7}rr=Rjzl
z$`L_%FJ|Jc#2{a%U|uk!cmDB!T4C!CcoE_M5}bDMm|vLnu{&6-fW)7LAsL{6gaFXP
zr$xwKrP%*lIvi+>(D)C?P9Ou_Eg)f4%gD!lXI$W}7mxETptF?5(A@VO;6D^3Q75o(
z68phvNHFM&{{s-SawjC&EQ+Tva&lpYx3f%EQx!1~K@vVo_G?5PJ{T6ygmO&Ievn<%
zh+S0eXM0bz{Ef>*tdaQY+%zN5=*-%$GPf{jSIWjAj8j-j);Lx((ene#8Ejj%9XAPg
z**(-KDjXlckfO@L^XL~>IpAM@l>^}(D{zM?ba0D^MGxck-%u=EFfK;S_V=Gyd*uQ&
z%>6w50~YUV%%Y&NIf{ofb%>TU$C1W2Up;}e)bZ9r$996s)`ea;ze+m=N;jxKHKVh)
zel*DCVQ>A2Zkw!mv>QLYP&r^T#dwxx+p7z%E<l|WTP1IEmuia|^Qm5Z4t?Sk>B|d7
zZs+!ufG{NdJav<XXCnaP!{}{Q)XjN4OHL~qL2s7kFP7+r9S~GB=gO^s*?rz|<lYyW
zp7DFBb6g1}$H;vUIlhlth$2Jp(g0>#7M8kE^MSh2Ty3zOPu=_+h7{`N!}N>Q4gbng
zHv-&Y)Xi;lLm^!(T%Q|8<=j+I<(N^k)z16YpxUwF?x%V#v(|xW2P{MV%+#la60wy_
z$$X_0jQvQnH!GRnmF$_$+hHa1JGyOhS|E8qMPsHJf1YOCt7tZ8I;5x(@zTZmS2X5U
zNJ)r6a;tzp$M^+QKpF;&P>O#Gy{(E0czP=9Yc(LK!D`^QB|`hDf!%6H7}+>ZojM`A
zD80@k>S%wYU@J}Q_?)M)0@+6Y6xs;<1kFb%kgc+Dh+dWgQJ8=N(cEfil}~|Oi6Mmo
zxr%<V0^wg-3PgZAi~_kG7BN)F&|8)J3u+K+*lZQ@<Qh~V4&eQCh_$6nE{}z1_fi(K
zw|JKInbIQ8GtK0zMxGbs@UR-$uiGZ42ciemBW9lQ-8AJCJ)*aH)AR_xbkY8>M%|!#
zWa!}4LjWNpnmlhJ4GBg(#n+>^RZ%57ELCE&HU)?%b|omny5!jssr_`xw)<%%d7&%!
zp{7>+I_h*Jey!{~-Q2PZ!4O~+xw?^B2u<)B4OlK$Ld`?ZZh*+uyD+5C1dr1%)&%@3
zOA`oihtULwE7RTj@p^Y@0<}~Z8<jRva@vJ+SCHm{L$BQ>WUm}5s1nk~&(;k;u?BTR
z`V9Ih3ER;~?*SPm<@gB{K-2XywkkYFN=aBxH21TL_^{;O{;aP=hO9XHGrD1Nnjzb$
z)2C%36gijaFJ0{Yrba@Vqz@}tgTVM>)D1C$C3AlQ&sIg|_GKs~d<9f2d_N%P*-!Z1
ztP<^UqQyvw*~KP=2hO<Tv^yK}xOs{y2e4U>6D@rAs5a||>O+$!{vv@q5`SJo-k-mf
zX#Xi{Aw>IU^|W(|c7-K~_7sX*M*bGHKGU`(zJWo7aQ|ES#loF`WeIly@G!#tR#c>$
zXtX+f;bJklY|;^*U991_8Z%RfizQX7D6s~4MWU`Ys~#lJvdjn7U76-lO)1Z8mi-p>
zt&)!Bf#x3;j-{uA6*4`<@bccI+a_;270Sqz2dy^ea28Y4HWf?j?#dEUOU<lV=NNnW
zTpwkO7dx45llVg5%SxcLA0ta${^=s|a*c>I8JUqlcL^HhuwQF*3ClD1TPuHS@FKrA
z1z`>D{@);=u#l6d$nOh+17;vc3}ti$Nfz5km73Z@PXBNDA_xskd=dThG}3xJTNRCT
zLCP}L;UobGYoRkGe5qQ<z7=8r!I>FcUWhVzVy~&(86ArjTKI#K$x+O6rn*o?iNq#!
zP*bQM9RGq!GFKuD(}m{$xJeL?#0?2}ZY8t^MFvx#t|?&7svM;RhzDBpD4xiYH!72w
zSEuQ4##K5F#w6fUKl1BQE;l(<Ejc8iXrCZRv`~RKpNUS?s;E2(;?e27iZmIb7gDv-
zG4ZlpUF_gxiP|EYj%qnV>TzkE`YabVrRtSL<Y=<ObupsJDHO`+5a?iqb{*%}>&?=n
zkeOmKlM+0aV^n)?3JyX)<EYjNQ$}PPlq!q30T9z9fR}IqM|A<Lh{{FB$mUTqoyLH|
z>Y<81A3D8IXws%mJIJvhU+pbO_wewUpsz9w)>q6-*(P|S*EDPy%6dgK9y0If7&KKv
zFkPw#IbfPHFin{b7^cUEg6aI;HDLNr(%$xk_8fN+DP(T5mzEiW=kS4{=J52?b!vu4
zGCt@#lOQkr`cN>R&Agywhy|<nA_t5C-uQ!|V0_NNa!o72Wbi&xW}a=yDF5wMG+|L{
zIZa(9Z?yz9G)j{yv7yxQ45=(!Lr+&CFHVWlZZIN*4rx>Q?`mTwR0oOl$&zwuaoZ3I
z1lQ`*HFSk~$&*TLphm<ZibSCAimc&Gb%h%!8%!$T2v>Esr2q2=2kOg@J<+ix%7MYV
z!u+Td&|iBj<4VU(0tISKZy<yi=H<2gO|OGoGLlAR8TpJ%?3!Vcz(;*&utiZx%^}@!
z*|;O*{n-XLSWi`^)3ewa<zxY~P;xg(nPKjAu@#NIb@2o1*1?3se{|jZ#$?OwC;14R
zKC)yUXjtQjkTVirS_DTNIhV_GTQ3-5^gWZ4lOk!a#EUSxXX$QQgk_u&5I!!i$<8=G
z9Th;9QNI2x1XWPNo6Rn}fc+VhT5-}(Jq6~}Yct_b&aBT|yUhNMP3mMLs^r&amg)6A
za#G^G0uy8S2ad@;{G;O&>-EU^<qmu(IPmr1fv@Ww7`DY&A+%|53bq5?XsUKtBscG!
z;}AWi&Ru+>CoMUCjrAybV5T|?N!w_YJJrT4NnbMPNB5WLPaWYPUa3rV=pP)?TAZdk
zUMkJ9{CIQ}_rY}++fCV;r9e4;y*<u_8RIC4k@;SuH9kgI!dml?6_$ms0}u!w%0+S>
z+E>vYeDw|sI&iLA6Y%C?XAkZfst+^k*N9oas>rNuxj<7s!BY++>g|Lmg`FS+#;@+d
z=~RvZj*9^%a(pT)!YQe$ynN##Cuc&aNj7r?L{K*UXeJIx_}my45jWT(;{7}cM>fT`
zQ}5z%a*uHOrQpcV36K2j-jRd!v8jInEf{G$z!ort0RHC@<<(Ea5Q`|2o1As$ngux6
zb-LLA=QdUNfGTZGs<>x)bg~2&y~`E4VA|D>k#VLsDoj*@?Q&VY7q`Hm2qRw@!IwmI
zO1LnB`d6bNj?r3(%3SDpYO&tv?gm(s_mH_bK3nf%Q0`7$n$eA>7dr?Jl$`dRQ4<K*
zKloIQj!A~;1w{B=j{{s2aGQ-&B@#;p&jt=wvVY`t7GBxXWhMyN9ITxxq8X@@Q#WQ`
zT%Yaml0x=b7K0hM8QXs~6t=I<$*o%ACwW_>%rv)LpaQvRa^dJMNNHLxnjsOe<N6pd
z5^(EEqr-)^$zXtkH-igbrs*yxgzPHO9dcK)(uf$Dr5RlCgWw`^4so~3BJWtDA|F-p
zqpExG?x<eh62~o-1E->s5HtLh=x81*oIJnI()?5lH_I?e$rGd-W<>2j3I+nADGCX4
zW0WCN9_F27(@b{8OPCm3N*Pt1szQXIW_YD7H%?89Zfl{{XwBgw8^o5V7%=sIj6K@Y
zq)9uTG%{ub;mq(&BK`)F*Ifv$VC{Ih>%L^rtQawC>ujsnQLZ&lqw|{o#OX~%-zER8
z(|bBHED+|6mrbr3-zr{vS+NnA3OUz?Sqm&fpE(rwt{*quCHNy{UFDX17iUPmd|vvq
zX&xi-4MnD7+hbAI=>N-j>B6hRT@BhnXEK#LwaP;EKzZNZF*sZ&?f24wzm4uH!~0R?
zn3Y6cNGJQ-(elaB5(`TE8<x7Vld(v4GK#Br4yJECjf*b&xr--90k|^U<LgkEL^<~H
z?SxQaJpYx7R{Sf+gJEf2AulMxQtAfLLueG*)%QZUS7dPC(aq5MTq+le8UN#p-l5Pq
z0!y2ZxWx{!R<hd5bp#3MQB}mWQ1MB<Ll8h-cZdr5(d0{z(ntz=lH#){yDPGjjFJ^h
zi+yCeB9DxV6Ya_Z_g3POVD(ob<V3c1qg3xAl?6udcz$Z8LJ@RJkCT2DH`5CpjZ5sM
zPUoFVWd&%tg*{DNwAZawmuS?T!my|URw{}%V^sRRD~u3B?_|Zh23=p~@sDq4XmTjw
zzePPUfH5OZdmZI6G-z}-G=4FS+N?NECB0ou<x(8)dT4Hp?+>NH4}E<qp~rCfxwV(_
zxmDpc8R8(HD*P_ulacr}McBnwg?qC`|33v);f$@id{xMba%R;O;zNAJlNa;oQHMfq
zarrAdd^$t%_hz+`sTC8#t<Z|!ETk3xRiMO^OK&T}Xi7nTFB%n4kk>jqnR5F?|C+a@
z`{<%8x`3ghB(42OOB$B7KT&8-vhwYZQlm>`M%jv8K9NYb7$u<ZHi=%a{=_Ehp6()w
zII<3xTdmRk6(~_vm|r{`W7UncAG-2Z1q)mqPN4%b3p#3-m!pSJ^)!A-q?bu0>|Q#d
z_7vrUP=C4z{djJK+Vx)N5Fs_!p3@$bym;a_n0+|S<jaq}({k{cdi2)z?eX2~*8uJ`
zM%Dy0SW!Nn`YEW9_}3WkVar3-t^W`FY50<fYj^DuxuaCz{6R`hAPbgaMYw%<hHikE
zUqG~as@}kP9N4OjrBn`d(_leu^FZUA8RM%SV`NVx7Z-kor<lcs^w#6Tt8>m#L!IPp
z0c!f=^{3`vF#Op_pathpGuWjnZT?F+dX+V|Nn+Y(LHzt)0^oC^3i=P{=v9_kR`FA{
zJr#yp)>%?1w_1QZhg7U14S_mKdoNN48urmIKG49wG7dDzy#GP#E8j-@5YTAt`t+$R
zdSON#;y}YbFB4i$gYRk^<4Y?Jh$~@~gcxO|?bMmD0TIR+@63p<JR{{rAc(yfU8WBo
zaJWOaO}>Ba9B`1+<lOa|IpT0}HVP#MpHRV_WFvnotRa)mZ$CvIr}#!oB$lHUjgbN;
z9UeiWkjZB!^S_k8wN5&0rE5u;CFCp&yc_!6Sh6$-w2KTu?rMtP6C5LWo<fdPtY+d5
zgvT48W}*NiTUG|iV-zk~fn^tMXYAS~cx*>PKV4S(P<SF=+(1V$tg2O{68<wDLg9UY
zNo19M-jwGc%146(W*kHjLlr?z|8MCaiV-dGQG&}mh;k6mR^=dyUD?DEqd+d7Mi;Q~
zL5M>VU44(DL<eVJu?eXpPot;}Klc5F<pyJ^|A(4G;y<I&N8<k}flwOVmEInEP%L9j
z3TnpZpJ;qqNgwz3$z+8;C-QMA$pR?GwFu<#^(OF^U_NtT)r3p0%+a@5lS!`6L6UEH
zByq!<TP8VmZB(ZPZW4c+fmn}x+v_AqSCx25BXdY|XI@ljeoAsTNtt2xil${lwG#e@
zrXv!vQ^|aT381Nr&wJQ>ySsnhr<2o^1k<T@JOf}@TiXV!$p++d?hR)(-DGDqosX`(
zT+d)W)z0wHp)^wh&B-$rV?$tE>!o|<!I>fXAgw`t8r?=>Zt8DBV?+IXsh?#x_wx;u
zlQ}Vg9Ix)g1m}NJ-sd6;N|f(evSyFtEJy|&9oL_-k+gGuNqPknEO>X0ikwlt<KEi5
zgdBnA&>6pnGDc-fel)QUO@x`{=89gB0+-V4sqZuu;=_c_k@#*8tA;hxTtAs3DwkCW
z?O%xY{c=Q`rxsHR0mpL>i;WJCM0k>$NYq-AiJBRS8czruKT-t8w%nqG`Ij+*!(@>e
zse%^4b)hm+EehT)DCp!mKbDb$Y;v8&jCm=HI~mSBpO{SO&f>h<UXUK;PKmf{!QZDM
zG5S$KkXIKWNbE8_C6b>IC<`V=*K}g^sX!Hka$|)DG;Dn>uLhSsMv%Ns;4~?MQ=7@p
z214J$2+hUh0{2CjoG2!kJlsmAUEi7m7MXUfw2HEVEdz3(wCi8a#39=Wp`#h3tevwN
zKhM)}jFh0E@H^qLLpk3xwv+TN#tvfJ=74iSAcacUkvjGI=w42-M4APb5LwuT6DuQ;
zSV{LE2NNsBW=d*GWke~JrQuU5MJh%~2!jrCG>hj{@<DXufRsAO5a&#Ak&kq|jwBL#
z24}>$8NcPb8ETg)S4!$rj5$ag=Val>PUp$UB*y>ltuWU?ThK|2r-)OOnY5r%8*`4!
zq|sRye%@~m9yJCMyPSXNp(U&ZWQsoFl3h+a;V~Y^mIP#pkLcWj===;pl>86lC$8CC
zI}v3tv7<7MBi1J9&H<T8LFU&<WRdlF7ML6}gPUl$?qVQQMDf2=D5c`5NVptg@*X>$
zLDNq4)zciJYmu4>ruh!DV~}%gg?CXFpMB{tD#h%N4q@k?&I54HyEGpWXF5^u)>!PL
zUL`Jz5CJFgI%-YDIAFlX3rha+0vsOb(2?L1bnK8jkSU4KLXFl59Ay-VjPREhTJ0`U
z`ydMH9Xk91HC4e0_2>kpI5t)Cpj1BW^dO^$fsraS<yb*UEE%Jj&T(gH2$1-1fTyQ>
z^l+u-IWCHnOxtEH1Ir;}d2^}PVUTJn#6?iBy!rU)Nd*$xnhx4_Pk!_CoXt)%mlO`k
zE$*YNW%%c(qqx^O@Y2K-VI)dh&n@zAqNO23{{J}rM1C;@7^%Zj;pRe8L5lrnvs4HQ
z5L@g&%i*`x&zU<?XihR`?#0yT61n-cVmWgc@}@N<72PAWMj(AH$98us_ss0Hp)X-K
zAT@dI7}GH;ZHV6576HCH$D4(bsQw#}+;87cK8?gRh9}5ZDh;U0pN5mVM#$nL+&_T$
zGRz8TGSE}0l->NnzWeu2co@lsG#C1Rfaj2fetPSn|AMrM7#gI$1|j^O`V-<E3|aQ{
zXzyF*W91>l|5mv(L=5cC;)3~B6Nf;LRhMwAoDNWm;~O0(>&{KO8!sK4o~|yyN{e_+
zb@rDkb8|RKE)J3Jjvk_Nb+kVzmYfQ0v|GnfVhE*%%%K%wxs|YQNg)B^j0!+$S7--<
zb|PRc;`#+Hb64-eQfM^jXsH?veN8Q)cHV4-Y*8+N=e1`Il*(alb^<7G9%wSMSpI}Z
z{A^O>;<S$iIgQ?Woc5xXqmofL$x8MLzV_jEP2{sD6~(}8di(b*>!E>+asCAl4cRy+
z_LmO14+ChrEwY%=jNv`+3;*UxW@HU{YW~yLRtV<3Dp3LzeR8cAYhK0M_MQ7VllFSl
zDA;B{H4rfM){VGKJSg?9A7u3#Sdzio_r=Hs4n|nQXtbPXqlI4?co;VqtPpO}f=>Pd
z=&xKp%EBm2A4j<ayHv@(Q#pG5n#kZKQ!i(-@8KN1%4A;^$yb{qVW?%YuS#mtmgfM;
zzW0N=qI&rQ^ox^y`PV8Y`!4crwWm7SSByGDvhSr{vag(m_@|SR*{epiGJEACS7$eZ
zt1O(^ThndVQo@*;xmUb=v&5H(I+-k9_qoZ7b)WA@^xrQ2-k@<%AeZ;GXp}dX_tiPS
zrF=+3koZ*umzNJYjc2DMA5xM)<wFWsIDfB7U?E`JHy`pju;n7rPt;l%pfLB~9cTi_
zA0TK);-8d2D<K)w0u)17lgoke|6>~e*3NAWJGb)0r(7g{ZEo^V)GK%(^yfTGE_P3;
zeok|ybezt`(-Cw&;C^eRJ6${6YR}X0b6GKqvh-9LZ(ZD)qu|t^h&z{xmhom-oHE{}
znIdJpQHhn{8ke(Eb-dj&<NfM*N11iJ$zMya<Nc+7%@{YPT=K7bo{$c|;z<YBp$pc9
z{!OoGP_QWHjmG2Mjg4H#$wIY!kOQVb9q2zC3Z~vF;MVEVlp5g?6}<^#aJ#oc)wa>u
z&cZclVCUg4hnj^d0`5uyGlZ@Z?tRdAE<tYi_E0c;#lW=^OS~63U<`1_wr39DuxgHV
zD|{D`nr1qK_mML5pu5An0l!Q{5lQK3x-)q{=ekfxj)Hadxn>I+_~N38YGn@R$g3x-
z(~Eqo72a2ybVhsz<z^`AS3!|SDi<eoCl!5DI+lvRv=^JSLrl7H7PaUoccWWd>_jsy
zt_#zwq90Qv4rSa*bo#eZ!4Z8ksH_)>0MFV7RMR-#NnAD(KdT6{+0>$3XG5*k-@Cb~
z2%xdtySb4Xp@gqsFo^W{>+tl|=|V^`a@}-#UGgo(8;C|f$c`-R;*>fD;xoL%)mGpK
zRi%KV#>9N69t6G<`JpIi)HFu+cyzG$bE`VJG|h1J3Buo0A)!TORjE(nRjR1U%&Oo-
z{Zm}9+2zMnag{zia0l|*swHM?EC)WgA+KeT>ja%(ZQRaFhw?;HBhuOzll!0gZ_Pri
z1P<pWiye>t_aI2>#?y<?om9LjRTJo~7mxnA(~VA+hCBUW$C~$P;F@CRO>!+=!-qN+
zx!rqV@W6aj^+=n`O!HxZ2;N<c@ij9SZJ2_Ieu{1+egSiLcxo~fNs=pPDDt`-y~<Fe
z64=Vi4uTxZP-IoxOlc91e02w&0E{9O`5yYkp-BF<I-$rrDBX#@WeCJ!f{`~5aFL=K
zH!~cWykqU0(Ko<yEH7}uW7!Lls+Q$l*rg5L@yN+%>T~5<xDWL@WMS}&;1OHSyDKIf
zF#S2*b`7K16hqkVVUN*cU-!6?KM;@IL+k7HnRWbf5%{|r32712;939QK~rd86Qtch
z<W*D?f4GBvJ~&v$adk0Fw*0Zr@_#~rWa7zYbDWHmB4_#kHVA7FF<<i$lj|)1zXS)&
zK#mxy2y*&=OR;OSHsX&HTwd(@19-M7vFi&nL<gPY<<tBE8jha+j6_&!^xCr3_uN)p
zKnZcUVl!jpuN}Vk2wfd@d33N*M|LmyX`Bjsg3Ih#$3U*=-_We4B+u8t>{XYz63exU
zw%L%VrNotB1axLR7Js|F&Rp^5)e=x4D}sP6=d`_8AG~aKA&SsJ@t<b?V2WHW!3piA
zP~w9$7Zd@}NeYwYGZzkHNMSDAOTXA$;9nW$f&_P%dzZOXks!w~2E$DQ7z~mLYMTys
zmn%eo-QcJzD3PAi?vr<(T5~~U!*#@^#o`Z{|HM_A6}0{Ah4*@kUgDOL>~Jbv6r@Hb
zu9bFk;3cx|??IEl^^$AHA9(N{G+1g**V?V7-09GtKHxqdzxVLO{kI>yjcy}CG8q@<
zZOb}MGu<T=!KRu`8T+|vX4ZbLeB>&;x?B*-igwp$*gUD~wriQJ#y)xDTA){tQDh}#
zT80XNs-&y<!lm0|8uw{dQHCyl4H|_cpKYj|<ZrE-P+JtA%NZD8H}V?=t^CUc_uYel
zyUZYXhT;J=&iVtMs`>HY7(shTj^q@DI-@L>794T<>CWdD!($Cl5K4fMt;~Y7c~&mT
z(?d8XPf*6joM-N&e=j)c44(T;F(Q63I7X0&awLa{&&U+Rij4waxU>K3Fk}OeTmU>E
z$@di0B0a?4?scFL((~L!!x@(<U0y)&e5V)_oEsb?$OLjEhY2oIOpu{q)y(^T=VId0
zFq8u@gaCd(hB()^5_%|pmi2|2v-8ZI-?M}B%UJH$p%L7j-$%_jwKb7IQcK~|BeQQ0
zjuE7^9Lb^d2C|6MVB!yVP7j2~8-Qj4i~(s@GIm@KwKnoQH5vJrJDWyuHW?JE6{FCr
zf@1_JBu6Snp*M%e8-PLrj3N~3|1CuzjQJa%Al=|aASUo^RU#06H9=|DtN4R}g}vP=
zsj~XTANC@74u^=l2teRqiMX$1Jh~SJpgHzHXM|~YPF-Iu@0W&QRJ@^P;P~f=&?E7O
zg7o$R1nkaN7}-3*56Z?Nqt<fg6+Yn3r%)`PJO4=xDct!_(JyxA`B#=ZFTfqfoqs;v
z|2Q*@Cx3lGPo4+NjQI=2Ukk+7FR}b(0X(PcO|YZT>#=T>;|XU~{-rsE<4AuRWRtL;
z`bFI~dF!bSKUAA@^=4H>A4K{QZ()zi`EuC7_@~gtxS>xVNyvQ@ChmP_{IA}3I}+!a
zi^~6_(NVyH`z9KNR+;Udd_Cv4Bt#8u;;#{0o)G;ko~?=yJ=f<@9lsS|uz2|#L6j%^
z`1yzU`UYHBgX|k6K|6d+1RgNuMT)GFp;3Jv_ejufPPib$B;5?%kEV2d$z?2FN9dot
z6)#A<uC*n?gt$n~0zqMu;qup<N`<tLiYg(+sVX*Ri2@4cxM~A`P4WW7Wn2iU-$OTJ
zPL`<fRO@)P-Nq5hsLt8SOA)6_q2ep)#NE?GT^z8(pVb9K<91I~yC<sEW=T+1oTNmA
zj=!PAEAgDNyl~TJmovSZ$6IuDrknXYRYh!{Qf!d3Rd3^VPm}#cuu=z3*{ACVnX(C8
zB!jibGTr5|k-I0bSz=WitBhnbE=%z1ye`~Gqo?TAP5_O|I{_PrVy4GL{G9_bL1YaX
z|7rSR$nF>lviGcA1~T(Z)-sfRshG3A@k@uIW7=Mm&-U4l0a@R)*EC8ni2Tn~q190<
z7y<k`t?wn;>Ep~ymNKIHjxgyRfn~&4sf>g?5*f&*LmL)4kQVerePpW_>k9C_MF+PS
zsCZkD^_3n)1`r#s^18?+HfUTH8_(4!sdkFvO>5I+xPDSFk(-mYpt0ek)z3|Rq7c4i
zZtA<J(IwJ?%cv`2Y3{dLhAvf0xKoxQAO(Gduh4pc_SAH?Dm_=_3TRQ3tdFF|mMXV;
zasidH$Rudgp-#CSY--S+uHICAM5yhIKkz~=4!1^zV?3+4xCOIW7OX!$lpAGs-sldr
zO3fSn0A4WjZj4g$M(M3>(7_AeX5-Jm<~;`=`EA|hc=n`)R-Nm3mi5r|&GY`G2THD`
z>B9i{FU}^k88P_P%Fpd{D>S!ThUQNrgof`c1yB71(MbFg%#UH>%1lp^135E2-<hLV
zndzy-pW34if~-<El<%g+(g26fw?!(}b2k0rSP%coi1o<8$e=e&-Nj*niP?5*egZ{p
zXX|sr#C&cUB<5oeK1BTID&M=d`z?#P^@f4Y>zThY+f&}?Wx=B8YS71)iY~W?!$Vi-
zw#nmbC_H4NY?<RC*1c1k1P=Wuk@MIDh@8he67{Ex!UGx&1;Ro%p;6wj&<#1irLd5p
zNqjxQ<%NYV!LwBf3q3Q$xH?26K;p>6WdvQG5YcmPr68_|5OH__g@ZY|fEz&Tvh*j_
z=xo&C4G8MOz@P4l11->!`~42MR&Ty8G^OJif_EgIl3**5>aG{h8RxLj8eSSqhzU&y
zV`v`TfRpOCF5yHq*RdLdkA!d$(!fN$@kT?CW0K{L6iW|ZVHtW?Jfd#^8Y`Ws)u(Hb
z@X|mu&c#F#Rh-Df^+4j_ogyrEArix2XG+&h(3Z-TL$V_-G%N0mm$b$|U7UJ?c?(C5
ztW!jWP~?}QP85q0E@Goqp;LWT5qMG@B<_w!4cNs7AW@MlYp(K86qx9W{@Acgt~_6Z
znO^BJlWSI98b+@Y@sUG>FF*E!78$<$*!v#wGjLwz4I1QN6;2{Z*|h$&<bwQE<<)j-
z=xP>r4$A7Ko&0v;Ie~#r&5Vk0YA-(p?LCgVED$q@sEd&Ur@&V(#DmILrbd@YwbtKP
zzFo=(xXHIc9gu1uIiXHZ+Vrb*I<09$p&=`zN`bUvk(7EWQkenL!Bu~1h7!JQ?kU>7
z?IUQF?%U!;z_;}VgTT6Zm`UrY4A%{LO&(<ZSQ1_n&onHRl-I<c2D?=E^1d@iuhMH$
z3qh&)aQ`ylU70hQK?m@f{t_^X9rC}TU+gvUuhsFIo+oxmqH-~RM+(c)<>b0z4aaG`
zA$%kI>=}d3OPCIw^*ejEL5wVR$;BU<!+Ei;yIdHfisUZ$g}tDE0<DAxm3;5o@Pfo_
zy*=^^GqA;Ggnia*llV}W7nUnzKZYwL|8((qVGxfQc~uvnQC?SQJAZ2>R}XYDZch-*
zU~1Mi0sw=Tz9-`j1P9B&i5MnZ^4M7eJvbTsWZZ*6Sc8apv5%NsC*!7r17;vc3{?a<
z{l6vO*{tOF9D>X9oxg>JzAC=+cFT9>wW~7H1QhJ0eOpSI)Qq&U@!XQD)m9bmoI!CD
z+T2pkRiibB^2Lq%@v2EgD`$MprnJ*Quk`qP2{|M2o5QqoFGFTmcx}l?#_OBpBw$;a
z1d0E91Xxo^1j_B5uOPXh1v`>6R%Fs&xq6byPLr=%$L<N|BH%`e<1L&?ga?X}8|})%
zg0eZeDLJOtUa^v0+R}AJ<>}U9dm8x`DE%>s!u^zXJkgnMEzliSqvMfGiNJ}+);v;R
zq;G2jL`R;c8;dg-k$X@H+>>~YhzH8XQ7Mucc*e-cn9)fc`sJ8Z2Ro7tgagZ^6@P>5
zk9%Zyoz|Q?&hPg+aTTr?Mo~^Ejm$RiiKmDr7CN3X5c*O8)i*rOQIUe}-U~AwHiCX(
zD4Ogm%%5iXWPrwf@o+ZbLG!=D!CBTr0|3weQ$x*vNBRmgV<cH$^qonrETPX21^rnD
z`Y{V+=Wz<0*?Lu_b-atf5&;GyYEy0-wxsWM5T=v*uHey0-sF_QKp7I#!A0md<aE?U
zX@WA`-ZSx`H39w;fd9RR9am^=vxifhQZgWz4w+HD<8_uxco76Fytdi%F+C^l^S&@|
z)u>PaZx(?-Ki+rV70N$J-JWpOv=X%%+U-izDnx5DAnAFP0&{K#*^I{DWE6$5Deo9n
zyaab!a2TbD8wGxl%qZx$w4_0!*hS7DG$PdrAVW!{5_aqQ1`sgRGeccj<O_d?+3oe{
z;Id#&y?K+@Nf=r376KZXS?>~=CYdp1L)tzcrpzWcp(!m#Q4hxKAN7=CE61NtdG;sP
zv!rxirHy00lme`n-+rX$!K?LXA(Y8j<Ac=b66pqH#2VwjvtYtdT!rKxdY&1!JbK;6
zb?b!RERuJSM<Z`mV3|O>R(mM@W>0q!NzOV6M}E^8FOf|qm~^4lQTL?C9@RA|lr)QU
zHoo`{mE$_d>%kFtRE}#@aVyGh2ztuv;R{^p;u0kOH0sm!F7oL_-8rgG#~uSJ+40?W
zHM&=o%G<4-=*Iqi*X@tWx8HyNz4!0AZZvwZDbkm);_I-A5$7f2dt6}zAtJJQ<;3Nz
zFm-*K1zi<O>t9{l!dGihMPa)6#l3`Pd@Uj21|Z>~gZCf4^Y9DyTss=w+GtH5i(a{i
z+Y(U#6I-Sf%x;0lD$!J<(mV#&uUWl0S~S>NL^z!AHGX(;{yvnxY`5X$Kp5V)goeo4
zhU}}f;i@zi*(p&doU3v{O?2ETbvf+}yji-7F3E}JE1hGcGb$7uBwlRMX{hNI<nc7Q
z9F(LX`$3z#sU|dB5_qbly}D6ZC^4p$JoO?q&}d2Aro%^J(8FxY?u&;(hq57<-n}5m
zKvJttb3XYTZ5op2M#}*$@2Q^zcvMcN-XR~2UtkS%xU!;}2)sGoXvWG?EwLYotT~!U
zR09G8LabYhV3BZyk`Sw|I-(ubYQ2pNXwm&t6|1a{5AgB42Z-FC1jE+A#-!HfE6qj9
zfCbbf5gxz-o#Fg!2{f<yS!BubE+{~st2RL#LchSF03B8GxQ{z=m|_mEY1X{|LB44V
z6;R=4c9!5M&O<azA491~?26QnRih(!+;i`dG5m9Py^E@<NA4JpvBs)h+>IpZtuM`F
z-71C?jwd{5R=0v}0C33?WwcEF6(?gAWjE7M#UIrkj2Ob`V;23L+@jy!gLwnYkkmbx
z7P@0SnwnooZ|zJPBlnYEx|5h}1w{R%nC7JBu71K^H=z5v3yOPItz=WbaHYUE<XOQ!
z$)4~~@0(T<YsywoyyMylZ}U3IWm?h5%o3xyNn#<PK%<qK<qr=v%j*X*8>|Tr);?wK
zxy?<gP^?xajH1Wao8$GuWV4p(L!QB)7tfF;gI-A6y#XxD^t=MxzwXg$Ah!OL*GVq6
zrjePgZ&60zpyrY_#o_x(!AWjLI2(<Bm8TWPfOIew&!`>2zQ%rXTTUBFb5)uZB}9~Q
zWLK_J668B`f@l#fcN3uZs~)Qj#IJwvbrPnQ^l)ip=GUjg)akWNt@&hpkOF;f&f1Q~
zU&+B)^47Ay;7^^qNt5df*v^W7L~4o=U-6DBVStbm3QAv7phF8gg_>d77txT`A=!Z_
z9(kSQqBxDr6i+*S=7W`+l;>eiPvf4$Km<tnK(9+9BXw+rNS_AR-*7TzmQ$mMEZiDj
zDy-TV#5(8qPQc=jw6{RotsV_sMtE8p29z~+ey_)8#$z-7F0b=2ZKOybh?qex>w{`D
zSkm{?zBApT2&ZP3Zfm|`s2OdNT%qmPL_JA?FE{U>kH*hqq=oSt;Qi-{*-w!FIhoV{
zRtW16XRjq3aZK$ymeH1Mv&T?aw%mS0PUf9A4ua{|F&ao==A48XG=CGIo5mShd_L}V
z5~iM99eRdo;?oB!Hw!%tb9$6<7X~80Lcdx#45JySlp_!`$&naQ#X!Yku)(w<!5Cjk
zpYBs3Ww5U>Ijp5HKw~h_M?8LZRY^_(`*E+6Fh9ygK_j!uc-D9xUb1GIvq9h4ZI=A0
z<eJQG(}JEw+8+-!x6FDFVZ4_n^>R_bnKUyOzOM`g-wRf1HEN)e73(sEez|4i)6w{s
zn8Cul7?6#(4HoQG0#bx~eJQnaoszt`aWD|Ar8H;{K<`;st$;dxn%7B~T2gY*$SgTF
zNhBNQQ%_Rh%gs9%q48!OA`DG{cYb8mgZzrkh70o>e>OQ?KqkJgtU7wFC2|S|1H(Pr
zTL=T`;aj{;!u%^&6OGKP>88PX$t=JjI!VDo?lpTc8edm*&1UzWY?@lc7HW4nS-+c(
z(~67jRrbqW6oXPB%RY4kkcm4IH}c1;>b>!*p2+zLvB8O>Rw#(6@)GQQz4qK9)okmG
zNB3ZdSsukwc@5Z}Z_q~dTnz=iu!D&IQKGGt<~pWRbdY@8Y2mPEWeVpth0o~i3|c1w
zurO0Cs8{9Y%3S+`#}&V(?hDde+sOk^%~OmevlveG$Y3>p{@FY(at24@PX1++gE^0W
z`pk9fl<`V=Hx}}H_nKFhKSjb0avxeJC<nZ?Kzr;+#_1WCGa!)vU2S74pR#oLqCB+O
zAKlt&HL9qzCzCN`dI6GCWRk{|e2+{H-tlkFt)Uc^>nKH~U!D$5D!>63DR`7^M*?6T
zQ<j+mbf+a_j}Ld_Py@2q*HRkJbvLe98V)7T7>aYim=kLF&^vIXk8%*2P~$|N$nRE;
zAvL2?;@lgx$B3f<Nb_=1nvmTA>|!eq_l44}qSPa`DVh8b%FPhl<y5(tK0rncGE<NZ
zB2rw+DD)@*o2gU1h52fUQ+iYi4CjfO{wnyS4aQz*fjzMVXgEMNULB|UK6TowF+GS)
z3o#BSqR`jWN~V*f7o9SGs7wYi547N8$N5J+Nt|tr<P!Vu4~l(y>xg}`srP56g#;3p
zcmn&Ah9mRKAa*m!GXAmCVzQQXeVPCa&HBq8i@6p$&i_cssY{Y=QBTZtd0~9a>nM9+
zkmV_@bQ+zl^y>%W54|*#!P=+Hzn^8Ht>w$mSgp@~Ng+4d+G&#HF3wW**H4=Nx7qCt
z-V^sZ0Q#aw1ecnd#Lz1CmUf8w&%F+EQISSvDqfXqR)%W%zE7D~ZYo`g#-C&G!ZVQ>
z8;YQTj16bg{pc9Bl_p8USOPAfa+v@)hvzF@(S=U`8eHv83cWiSP`u)kNz^ww^{Thz
zMGlW%^Z)QSfa&6FW^NM9qgOR?qmdCTo6mWcYe$6Ff|SiAG~!jg)5zv5*5;GGX3*qW
z{hOdF%`z4zjbfWPuEffDqUCb0lVbBb*I$j+M0(%#g*gX3t{)2CLn|OBtSPQYcYU#v
zbI<JsLt$nlAoi>o2S4jOlg(0qss*=^7lrAbSKP~nn#bZ(BAm?>lBWoO6x`?5^jD$r
zCSW~O1%xb5xxaB{pHJf|tcG}&OoyI8DGjA8g*<`M_vJ7^Bv>LA6`Zt)+K$AtIl`}B
z!$~p#ODEC#0IF&n-7g}weUHy=zQ5XCY&Z4UIsLb`?sy%%ztB362j|{Ljrts%v-Wtd
zIH=CcAnxEEeNzXE)LPB+sh&WR=WAg1!$s!Ek@FArVLoCxNjkzsA<~6;N0z5jhbNVt
z8*U`aQ>pSHnluBHr}`qMBg#{KiGFc;D*m-P<*8nP*b+|7R44d4x58DbaJUb}%DYRb
zQ}x`Ub*k)vhbUNekzLot?UVD`o;b%GMo6|QfMHtUEg~n@6V2DWF#jItx9zTMlS!5d
zir<Zq!0msl8z%2R6+z<R@XiISUZ*cZJlo+1g(UB(i>M7(hY%Gm>t%2ipGn<##elvF
zRIW-fplqgrWT{oLfCV^Qz2@tZpa^2jSV@xL63zoRAxBgN!tqwR`<hM_JCS5&Og{YQ
zR0T@=oLvP$2Gu|#Jid&uG!kDD#JN}5g{uOc4y?%7zF1BTo|VDuyHo+C>MIxPI4O%=
zP71Ayi+#o!<r51n9I;*+cNlnb9LJV%B)e1c&wC=eL^qqrqPzHu$kjoZ9LH^)ensM<
zCM(~DB&+Mnol!`U9qI5{24mJ2Am*4yOxMG^qW>h-GL1N?Jb(@Z4~w`Pyn(Yt9O+x>
z^%At~_1-ubZVe2{pgr`(+1WPEbYS)@3q1x3#>5MU!o&z?(`B%TUb{)~vy?dnZ4O%0
z@ihdtsQZ$(Y>sY&xZ+7;-)gbjqJqs7TSaaFPDB&O*Y!S>+^CYPN6ZC<wWz2x&QD{h
zbT~_UQJnfme>g-;O9m(3`P6NTcD!W$7^f3jPbaFlY7E=7SZ4U&3|)32_r0h-wP4$5
zx`7I@)P*G8#00@QF@XixX;Cq1G^CV;5|>Kgqv6=e<!PV~nh{!Kw@Y1JM_XEGg}PrS
znqphctk<7E{jg#<HaQ)k2Y*+*Mdr%6bA7TasdkQ7wu&7L9(d)(UZ=Ta7(v1^>_scc
zTV|oJWUncB%PkkE+)tWZNPb_ke`^;0A6+*@)!d_LtR`duU<sn;3nft4MhGp;T78Z(
z2z2!Z)SO52Nmt|23ZF$K`0l<NsTRYO`b~S@P2?xFQ5_LQ@}}yIdUt6&I)ZZXQikxp
zIVv?^_uO1R2C1TYuzLeEokgm55BZ^L7eEi+y^<3%oVLRKf-G<F*w$SO+dZ7Br4Y2k
z6R*o$D}mtPmB80PreS(j>1Ni<Q!{=FC33H>ZO-aSsj<|*#FCB)NoQ35t?|M#?t_IW
zD`P}INsY8010u&?-();t^h^G)v9K@3LNtjl!jBeKfIKsXB3=3u%SDkM%(%5!f?bWo
zA1yK)js|@ME&4?*zlO<yAT;Zo(V!p8(W{IGDIr=Y8l>DtO@ypy&=wVxSgzWhTYU8y
z2mt*hpp@mx=@-X?{)&FBPCV!iCCq7)Y?%9<ZXPf!!JBinO^3V76>`OQgQiz(2WhSI
z&!MZmccnywcq(GscZ^e`4jhIB+Izv%Hhb<$<hl>tb-8Y*3z#c$!;z1F0u9Bal6Rbn
zDA6&h8#Uf(PmgEa`t8o%D{OvV5B?ZID^}7xh{=o!)fb>qNGv$zyZKwIr1@6j3T6a3
z5v$m^;6V`|+`xahbl)=wwAU~M@$YXiLO5A}K(QHqxnmp%ju9*pE=T%vd!!A-@@g>g
zhdbU~;qktK&MLNaN-mJ;f)kzjO1sPT&^pU+p+Lc(;ae<Q0Y<hu?IlnDZ@GZDUODkO
z1hf}3{1#rXO3d)W4AG+R-4f7<LgEs}z9GZQ4hdCD4z=>7iR0vkjn=(=zthx=JA@Qm
zQxhbpO-hopbhY~0ltYZqrko7$x%#y%zq<(LVrg!@ff`{;j{doHrD|CwR|&C83H3*~
zmK(WL>h4%)@6J1)p(-Ls!&3dJxrFV?AI?2dJ5{%VR;iWS-iH_LOQfFAptp_|$IYsN
zIcZ3PUxCm4ezS#$;Pa9AJq)L-tiAQ1Ho+g~Po0dm9?SU(Uay5IBovFJPnwqbT@PW|
z0Oz94@9<RMBd1b_-mV69{C@jW=eHTo?8%abk+}eZI>9bgF2Hi2*B>}@9pa?;uQvJ!
zpZb!%1TE>DzQkkv>54ggXO>-Rgs~wd&^l_=M*>+6-(6%8kT^kARv}u-y|QJjgrl}N
zoq(v13iL`bWbJRs0|W7ip3SlNHP)l#Mfpa|JzzP0z1{t@a&@n4pqyW8F%(};=pBhK
zD@2;t0YK2?wO|iu1**zCg7(m2@30{6ktkQ?Mgf*{zK_j3t`+mxTVx)**&rve6_eP_
zlL&L=+iB`*zTq|c>K-gzlw*M7Vt}U=oXALgUXISC2%t4pNCbo@D#HoNnkf`c_;%3j
ztzC(dWXTx|OUub7ab77cnD9zWM+6hv^oxTD{A+cB35S(SDP)JJ$~8<-;n09V1$+D<
zQccEEJOI1vGFxl1_?UDnO=`u{(y*b#QTj{0YS~<SD`;lxXm|aE!wuh~+a~W>Tj2&9
zfjt*VpJicGpy~;os?z(;xbVI2b|lU-7qdU2v6Fgx!v`JDm(0i~A=#cpqrBmV_vHMR
z{98k+_z8l`^KV~|XRG4hUe<@ZwVx}XV!!N-1Yn-~rFUvS*V;4|MaJz^8SU@p{$3L@
z{tUq~690|_NeNeXm3VeO`@L&>K`@?wTjSZX;6BP5>hg3dZ=Uf+y_0yv7jRRm4EE8u
z_B&3_km-i|T&Rq?*iK(qK;`loe1g3m92w<q+mva8Bc<Y7B3grsuk$z!R5{1iUX@d5
zxSF}B4JW@wo&mPzs0}Y)dDFDM2!O6k(}ezwev{z6hP68l!+)O>{P)?S{1^W*wGdex
zhR&xT&hh^hfmFpg{)!r1A|+EsoWtVLzqSN8MKK<zRgfJgZr&(c7jU39KCUPjC4U5W
zM~S!qe>+yfqfWQIIE`#-&Z`qrgWGnZJ>KWwIPePHz*Z{fv7$>BK*(@G5Kdg}R*l%3
zpv}+Ob`_gkxUQy2Hx_ip!0M>hkDJaRxcGa9T`;s4g>h7lboHHQntNEm|4VLy*dG7K
z(JD0_^N)Cu9gm^6wlx7);z|n{Q3iEPm^$C*kjVZ>?q2t~bc2{haGkDoj{DpU%(&Vy
z>Vh8>^D1}EhXixJyf1^9f%AO4TJs%Uq4~b*DO@3%+mojfiWCY3y*A#0{s&%5VJ4G4
zBT2}dKI5PBrz;jVdT}8hkzu35)F{6|KZLU+&U)4S)FY@fzO&MG&NygaBS(LMI8)v%
zRzzGJ^EwSvQl`54kU(5qoIPDjPK3T%tr>pT3eC{EjnGc&a2}`3q5l$^0DvKXi2}QF
z2@y{gT0+6mV;Oc)#+C96!j0sao;PYWndXh<3%mS0rX#{Gzd*k@?83iRC+u>+A84r0
zH7jI24HJ5K!H}UB1;Y^Gm+J!#s_I^aVAS8eSsoW<VMm2xvOm!Ji!G4<1X|h#lq*ug
z;h0bBw#k!gGaRE3*b|c3E-iZV0VPV9uuS@U6PihXza!~+?qd7TG{y>qX#Nz9LL$db
zLHJ_MZz)7$$QOTs;POH=pTM(K3DI1cV+H6ijev~92cIM$^Mq+`mth)q-bG|i?GAMm
z!JV^B5hd`$6>1uH-yCpSq24qj#HC%B$4I<|{;?9m+?AIW;#vEPjOnydP7Gd~&dfae
zUD)TqAtt&Kt|GGlgrC;p>nBmyQ9Y&m_{2k`ZsUGNII7W9t6LKRm=Yb?5U11VUcWY-
z1_9m3#Z_B?GWH`wN;rMdIw32PA+pm_S2?PD?cTl+T0*fgI^t2EouwLbC@x1g5t>jC
zw;3<pL4!7zWK4;}Q8TS-r@0fY)%gvyqEzz5<}|@M#s{xv=|<8Mt@bfdWNj88f&+0M
zBcQ_>6_bl@N0o7agr-iBs}hcwAO{^?BLHSaBE?iVZp9%l6}b}N%257}qr3hMkpgkI
zA&FrO;-lq%Lx>xehsg)J(35bk541xc4{+FA88CVFk|J+_pa@mr6M~8ZO1BKXqO?p;
zhVLr{UqREJce8g80z}Z&NZnHqbbWpy#7iIjxzy+qX>0Tky1v>o(Kzsm<8Zj`SO(fy
zQ{X&K6_LytH@s@TC<$GHOGjs_o#}RcicZv_)Fgyy9o~SFk)%NM{y=INw8ylQq0pY^
znk(4AK9U<%b~yA*v`P(!-iH_2;ZS;O+Z6EiYY&_%oauR=!ZERG{5khqH6!sojKi?7
zkUl)|Y)&8kCjNBA!eEbiqzr>Am)N7!DE|_B)d0L9Z8Pj3l&l3+Yn?F5CpytuY~WyR
zyVC5CiN<gA#u+bbvBLT$TMY-`Fz|^Ic3yJUbBDo~Qf$L@q8C~GB++^#{=q_gB2&4f
z-Z&TS-;MVDQn{Wx3?}uwhw8-4`)9?xf2PR1ZDmQ5{s2!pyrg96m%vX@sKhe$%fjjp
z<QPDve!acmL`LGb<>*|>FA@kVEWbA0U#a7`sv@iUQxk}_-j|C^O6|)2DK*M3y$&8h
zjgs5jZD?-n$=)ezO-~pXU%QVLqzE*38=FANFsbHipHbO303Bf<_xA9udK5Kd>xnz*
z|66F%>o)WH{T5Rwn-!C-?dt3dsvgvv%OW-IEIg>5#NG1K_3rXplFj&&s<kX9XI4*6
zFZ1_ZRQARN5b-~u^PpK#`!rU=-!TZV6;hL`>8)o|Tt5)9HL{Yy+Dk}nSc1!vx4gd5
z2fbFjp4hL@S_zJ>;`PcdFBGp=p)S1|dQV-(+pk%-E|exo??t@+dGw3p_55pf;`KOl
zx!CMZEL0HO=nNC1FMj6Ij5|bJ{uxeG(sWtw4Zh<vrFpNUg8NYOI!nWcKmeO<-PIlr
zvOl2PuAQSz_UyeQmS;$O)h>G!w+mm6pgMAT?O>*gR#ODp%q_0cG`$G)VLV%v2()_$
z&YBHnMN-`?0S!kp@00lNdkF41hlnfK*6p^sC_I5W5mR*JU{>D8A!^UGI^=+otLfBV
zg7h7{1I=ymqXg|p{Avlb5;`u!+2o)Zuc>2m7BvvrSdYn^G!z)<*qp9MARTu7w?-Q;
z((f;VGi9=TA2rhaLWXp(KEZhhMPU-8i6OX+sR|PW#7}vn!ApAyy!>zxfLR$ni58)q
zBug36#BwUb@8wVXJHE<Nlw?qU>S;0+K2~H>iV7d4M)|4mikDOxi^g)~R8o~0TIcZn
z5-vUAMAK4)|F9h^YDjUR7QQP*u3fr|hr<2zJ+4owBLP)iJQB7lO9lj`K<q~@PX1dV
zoJhO!kC-ai3qQYI8J~}?9JBKCcwn2A$La6$Vb8`NLG?%yDP&gu0Yi{wR?=HrC*r#!
zJ|#GMUx*gEg`tMVWpbb2zogs{loqqJ=Mgjtc@_R1<0YFi)+!{%F0=}RqbrkC2~?#W
z!i{7KiPD35ou!zhUj?`!la$^Ill0;-{9==of31#5`h2k=RxXzGK^ugs9PIVQnu?-@
znMP>x?o*K^F&M~f##LNLxLli650Y~&^O(`fVyhevTA22FFo3;mvX_H27*%1~y}IF=
zN2fV8wb7uA<e~UW3no^4hxEMCQbWQ%g273AD|O@9(Yx?$RqW_qrXbl*2DAW!&9~ih
zVtozh%Z|V(7E9JXP19p1_x(;IHhu+-JrciMf}jLmHnS1@RFiUyS_t#=r5b*d&XD{x
zANat|e*aRg$1Cl6WvU^IQx8|mRb_oKmXHwuH=@*wG2FQ!K2()=$>O35wzA5%YJ_Ee
z0VKvA65ZY0D`nwBhDKGf^`@>Yoy$cn#K5O!)1B8w#~V6GKef+G@bXUCpaohDRtD{%
zFV>zevF6fM;pqZ_C+DSyneQG7GrO`lh>t6|JY=v@&T7@mcfDK_v^DIdcP5Z$mR_(~
zEKL+8X|(+5HBm$aHCU_cCxKF7r2G{9Vk3orWf&<^R$#2!xKfwkTFNKPih(4XkyO;K
zBZyAx^5NtTdnpW4zP@Pe%pNz}Z26(JYPLu@BeOdL){7nRapz2uabP3n6S-HPXT*F=
zH%v|w<QiLMTMq)ES=@(OR<QK`uX?h@EgOTV_`gs$o@Mh9JX;mZCX->5fg_+{1Lvc1
zetiv`F=OC}GViD=-DyqNk%dBueMoWSWI;ZnsslsC8fnbOUn8hS;{PRq%WwMp8nqCn
z&sX%!EYs&^W%}^3L2*uzPZ36R22NDy<2v;dy2S4IeO%RkQf;{HNS=||iBWK&k1(@u
zdoy$Gk<0r6qqOX0eV{e~F*l#F8|cZKwySIrf|YHN_10;Wc>F>pkw1~3u45G`Nkl5r
zkSN$psYu1EP?0I?$vOxURFPK#2SP<&MZZ`@@~<ovDF7ZuMIM}4YF6e^b$JMH{>GxN
zu^2L2F`kk$_k#l6&!a!z_UP42hf;^n%e^!_b+}(QJT-MahC->)gqtN#DoLXM)>4=y
z#yxs=#r2=TOnf(W<LSTa@oZJ}Um9~L)h7U9)%R>UwN%w->5N++vhHmcB^W5bUM=Zr
z1sfu}Tg}GO=*@iLI0EjpLxuznacI8P*7|TIy3+KCYcv5|vL@$|UrXLdErgbw)<_8Z
zrP51LID-gIA!%L_{3r$$BKW)L7mHy2l_i1&z{7~(7h->-(x|_xI>Ci3hS}pkP;dph
zBWDZb<x}CQ^e;l}gWFFOk65DEZJUyPaE|+h5<dQ8&EqVC-Yt1Fox#J=#bw<#S<Co+
zr*giNLOBR#cJYtXL_G=nHauGu32Wz@cobEFR=~r8_U)1ese-m_N!sV!As4B*3yNiJ
zhpwtXrh5e!WwfKk1uQ<wK@f7dCktWV4m8Kbzd_KVM!p0(o#|4t5aREr7DB3iM9<io
z-OsVxpiWb9r4!We=`2q1wL9>lpg1aWV(PRMRrsMhc<`1HP|^rcUn&$tcXm~mt>e{p
zyFN36n?Z0WOVNi;dzC6PGj%%4g$xgYK^wUh8LbvrHU)xCKfnz&|C6BRe;kyW<ff!j
z^AVStT$ITpmJ0q02UFmiZ%&%3f;6b?)J3tUnG&DR136oj8IXCtHB)V9gJG3NF?jld
zz|-dj#S>k0WAK#Aol{}~wnU2XvTTV!ImN#Lyuy<B2K{17f`4UM5@L}KV@cda^qPQm
zH(Q?@z>E-gY>D%oxU+MAQDedko@q%4OFeW)!=<*)Ha(WbtYp%l8(G}OfXj2KN^iRl
zH8-)=-Z~C(m@C%cIaC{U!{qI2#3V8(lHpq8N1bJ{gF=h*%*Dz@dUD16DTA2!Lh6Ps
zGh;by64Vnwm}&sdV^ajcdAuW0f4b0)2cgZl6k-<|g%Y(Sxohu+$hbP^x0G<1Hhm*#
z;&te1Rg9e->5E03@?V=w%7)h&l6-v)ujo*_3L^_wAV{--by6MI`3auV`l$bhnt|e%
z(C8!a5eY<YLuw5p^u-#XmR<LUYzauoh{ymr|LrPlFr0=*F2E!XGe~tYIfjcI7id47
zUWht*T}04TQY~M8D(nO%fD9u*(UfNDd<MVL#)WOL^ysKQm5xLS$>t2Y6OBNuW)<HZ
z$GvW)vUr7}l1tIyYL|}ekB*^DTbm{J7n2=8DQ(F~od&ogximaE6JPH8C0JqFV+A+r
zz0Jmy5~U@BJu?>Tmxk9_IDR4PNf87b%YM(=C54%1vX-IjOV6_%o>Bxo%VIP$Q>N%^
zhoa~i;94zw68b9zLZdJI)P9vbGetm%Q|V^4pMq2APZpZIJTm)UYIKRT2Kt{$zg0+c
zI&pR|x^JmlL-7$KSdba9v><P%h2&8+Mj)xo8Wf7atFftU2bCKw?GQ~2Chjlfo}ZnZ
zdl;>p<lI<h2>&cz@Ip>K_C;@P+Y_6-&lz~edLBdc0ao;3>c@&B@lW#{!*Wd?l_W;U
znQQxQ{<MF_yFO_k$*TX>_+YyJsfX$?xRP(bM2+(E?Rf{Kf>WhswLOyZMuUfw2ffWk
z;%^iIm~)=L#uy7vOwxfSR)`KkE>JnoN)Ra%D%?nh>Xq@Q@eHTeZP@>|f{XVk_j-hW
zv3t$GGTdwFc@CON^db^8l+ZpixPPrZ>*p8rto^ZvaIY`1JO;npl%V*z{x?cj_P)@}
z&1>&^5XBaAE{lc(<9l`6<XvmS%kIU3=in9!jhp$!x6)L-(D*fYwkqDDy&cjsBNZGM
z5V4Q8ThgJgk9O_-RaB5fJ+X?VvsLDexj2?9RETn8T1sA@qbX-iI*m22#V;cmN8+Or
zR3(O7c1sC~uVKz&+&`#sZ@F_%+8$3^<6N3fWG=zOL+vuERIcjpPc4-uh1{~DK`NRy
zNm2M|cCaI=mc}9XPE@Xr&y7bfkqOpx``}FJ?pEvA;zESGxf@lKVsBQf6cUC5N1h=2
zc+voaL386^a9TF<pgn*U<~&w#J-LwpGL&q4Mkc-tge>G1yrF_zr*f7EJ~j{USy|-k
zHIb}v$0;~<m37MUif0Km!dFRS<)fFO=G(1Hbhxjw*ywWRvkd5<Tx4U3ev1-?#9r3g
z7Ywd>u5<$TRPZ@77B>h$%tlMC#hthe;6xkSN!X4<O{zs~XUt23ODqr>QxaQD^(Lwx
zMvKkG&LTFSPE?l0s1FD#F1I7Mtf(v?A}BJJf@L#bLCwVuT|2-pxT_Mrs5H>|3}(P%
zAOW$49hJN2g59Xn?N;X(5V}Hh+Ed{pkH_iIB=)u7@bCspiQWKkB_fYrzN)B#aQ#<-
zEY1G$TZ#2X;<pr8oSgnAd6xEz49}+c*DL0rysrp|>QL@`s1Z&A(LY&tiCQ}2xd&M%
zs|BUvdG?a(&6af}It2P~ooLbw*$?RQp&}S#59xzw5eoUk?ooxs3A4T<;>ou7bDNmC
z9?#LMEG({ANtq@=*{SkLmFcAkJ%ESwIlw43AU{vP*hAu9tK%WvK_(@$)kLK`!0w~=
zj*1?(u*V(3GqTGk+g+BM*!IT6W~wJsN|xAPD*IuZ^H6g?n+)FsDF*e6zOLJ@m69dS
zMEy;_l0lrnjM@0>d1W^LdS2~F>_;v(x9$yLGh-8QBN~Myg1rg2KIgZz324X@uOqlT
zx9+b&y;X7R>@yV(L6l1;pkcS-e@PbV>(bo>zYHg-jyna9yL`QCnQmgj?MBj|g1=FT
z=IX~`<q*M@*^&&=gC=skmk>D;kJCT7Htc1re2p#;rolCGGN8dgbyrIFQ7xz{a?W(I
zIQx-C9?P3UMKGsKj9aMDC6bH#$L`-{7CKjqYx12}xJ!;?Cb0^c>-3GtCpuB9(*<xX
z>_iF{<M*(QQABpJTOBXmPTr^K^T1xN&J7Eujl?9_$tZ!@qBf=3db@)%)Xjy(E`P7a
zvfWX)>YOb~WboL2<l^pVZrs`X0;6b^x-W19FS7Rq=&jA-u)6NJb44&|oYocV5lhmC
z*LAbcnY8JrZ|&M<KQ(YMr?xx<<Z`BcC@A<aAh&4R58OivR)WSJ+ovyPt_V+7M(}A_
z=Cn@_@TV*0s61YXHgYFrnHuGnBG1R&QJGhbi+d?mG67vqIghYGeF6Cey!<;dF97r(
zx*x*`Lw5y^_{k!uV~+SSrd=+MAQZ1KN2u~qYR6PoCDlmbwfd<dlTupc6Vxa_Ka}rB
z9WPw0XjdYY`Ns8TbUPhw;ed$>I|i$bZnHbncDnP>o#CGpnxWkJ{UVbin{va{hWa1q
zJE&&3Hq?J(2(SuL_nzskr(-Tcz$_iB8XrmaH{fr-&;AnckNRNA^2mv03h{SvbhT%x
z46s5Txw4!!2lsm9@!tX5P@N`vFFf+g_bHE@f31#3ewXnE<}00JL%QX+46tb_!U1yd
zA$;?)w`=M28+6dm>%oCq{V8uW%d?Q%4;tC4#a-9oEzBEr+vM@JvxVuPt>^A8+Yn~y
zzw-Y2i#1x(Qj9bF^?T4LufKk0&Tq+IH#CZ0NN{=n`aV2c6@UGiA!b&oyAmXJ7_TGf
z;QjV>+Mk!^wA1R7mQ_yAeb{dFGKx<U<RkHMIRPbb-Ie5pSSb|0mKP0^q+>|3`ab+y
zi=a<gTW_XDmnb&E0t#19eYf$<o(dnH3_T75h-_in)e}~UwC;xR;@_Ved$xJ?O0-J#
z;(rh?vb}hEYwL`)?#27?4(-MNiid#UQde8zJ`}*(bHZMHfM2xq8KMu!EFY$zWyyZq
z6U-Um2}@6&7H3Yo_D%fhih1&XT8KU>Cz2ZFmnF9y#OAnGI;Ar5`Wtlw>L?P(9)72Q
zJHIlW8Kzj7{=gvLD1u35kgqW*b1}%5_|qWIsjW!CAmLBtR;1EeN)Lw{$z)AseP{;g
zb$mqix4>D*i?3CV&j|ez$(r<QbsV3&jnUt!RTip4dOimS_I%XnL%2Spsn(+EIOzMF
z--`z2{G`3oYlOX@>p>n{leugg_I~#2wx_0+Z2!s;X_)X*I8TB5bC<?T0r%$xXq4Ce
zIh6BTa(@hw;#&zW&;7Xu&sN3#@iUNxQ>qwR`#%CEHnw*YczOJv=cM^R+;dLPXYda6
z;)&Y??MS>JfmX8CT|a3)&nc;5J>XJdI?Nk7tiIFprXu)LPS5M95ptvGpB%YS|9YLC
z_vFT&?erW&t5m1wU3ii0^w3*dRjhTV$A@=lr{}{S0)lH@IXylUYr*O9VG0_EY}3Az
zIU_t_>GaUz%<1&JmOouFr|0v9=p&t;&r+lOvgFQ#;$%bAUBs@W<Mglw63>fxJ}cPc
z|Igl=z{zzL_rkWZww5e;-^ODu-qd4{TAOWb8QGRC$(C)&#*%FrS()kS>6z)PneK6S
zkE8*dI3bT<XqJG8F<T%cz=I?}Nb-dxEC~cdz=R|ugzdu)kUa7|0@xq+3n9FJ)miW9
zyLL~HMg)F<dhWgFoH|u?>QvRKQ>AyO)*N<<P40VH5X=1XFHG4~{6YknV}40>xVdy=
zP@KgBE4gJ6HA>GdNB3~k%QQoIxY>_Jae8Pshnp9m@7Rrq4>!+Y2p}gz4>#$pvkOHZ
zT$%+D{SElr?K4>(o|%9p>u{4;CKG?hj;;<jm6E3P&iF<u!@FL`VYUG0JMympxN(P@
z^j;ipmgpDT`24FkHvUay(#Z<<-NhR}uLJX558Q=if01L^>po+R`jZ0lR`$H}RI@jm
z@-GHG?3ED|Xz`}}VcoX%x`lI)sZn(_4l!S+QIf%me>ED#Nl!cI_!TL?B`e<0$A3A&
z<yi3zJnM-Se|8k}Y6D(?!-nGwL6*jV-xM_91(~xQUUt)kUN-)R3F1Eg&m`bVm<Cr)
zm=V7~7YUQ$PYfA)Z@+&b3+j~p{yA#YFF83m@c7}QduS=ylYp4x$m1tcBhS{FK8RMK
z=KDACBHDbXxAyk1(9L%j-mcB}|KlJac9kph-Gu^Jdv5%hWi-2Jxzl+U5LPZkv6>$n
zV_##wh@Y-B-f3l~R8~L3pU#=_{+!E$>=_TPG{?@TM(G8~^&Q3@3zAyF$K7{ic%l2g
zz!V#@V2_z%En38BDwYL9Se|31NM)hlk!4b9Z`nzW(zC?Twa_Or%}`qCWhO`T`sl_&
z_tAIkUc(l8ks*k((CMwS(L`I{W*tO-1O9gVOcr{-lz=6Rzlmis@ptU#%0gFam{Ka^
z8%YaYsnD8(+fU*B2LNuIg--8<h5lap#TGjM>WziYr|?2T4$VRQaVMwn!O^?0)!kG0
zV8^irJ0G<NzgJd!*elKVY`T96gtC`RaB;_*?w`<Y7t$%bi;4L^h5wqyO9uP>AJHgo
zSG4W-zf1Wo+3$u({@)T@j{W`-JnM=5?w-OsWPuRmdb0v1wjTeSz)NGqUl(e`TM=O?
z597P;M=vG+gew4hpMM<vgDEJ<8(d9c=KKOWlXobD^X=m?rJowA^xmdFBMbhN-gPQ9
z>X+P|Y}5bzp2=UD8hf^)^%D>{)TqA%-9;Pq^wwteg>KZl@OEv~Z*dS1yVjLa??M5r
z9rZwD7p7QskuA6jnKR-iEX{gaoGCTjRs89kne~-S^pR%$7&S^SOSW|rh%Dr-W!ukD
zZ+cg1%~6Ng1zwm1nam@Hn3}10gpi(zM`AftSwU*!QhRZHBWVRG9Ypg$yA_lei~PHo
zj<AA$kAATg#J_rD1?{xX>r{|qH`$SH==`)&4c~<wbZPjpkLo$r5IQXc6Uq__eWzCn
zn?fH0wd@@&$h+~T(1&%~)*}n<6jLGZXq;t!StBNcE%YTcN^1*!A?3GZ3mGc;pC`B+
zTj)>ltS7dRU2-UlN0l)ofMT`#{~`F&7(-4LB(bT8NU@Y=P!~Pu1?2xH!Q1EmhXh**
z-QXGuGk_NKa$!<DZAj633ux7qaYD#Jpt68gP@{gy)Bl|<po>yt&$fX6e-Jp-0`kyZ
zv;{<O?fqh*TR<+nU0XocI0%Sc?8*Xip;!nOkPB0+s>s@HKXXR>grx;Ui!-HmyNo}b
zGYhDci9XT-8m30+WyvjFM<utJL37!q-k@4@*()}>W)|Es%iPbzO~o=qgE?lIRL7pL
z%`z#q`MjDMrDvF<d+hn1Of!_np6_CEL{qMtW6$45-?4iUAA7!oA%Lh14NRuD&PEh{
zq-j<}^f%ydx6fpe__hQrS;wBlGMV^0c64R%D?Lr=p7D*O!LRge&B5&kzyEQ78+YtU
z?}fqtzv&kn{QRpo2LCoPA!NC_ZVdgb<yWm?yD;$GxK2G0w$$?zR&~+9fJ^ot0sk+z
zpJ`TR^L_DigR3C8UgOR86Li~!Qh?E(C)=qLrr2qwS}<m6{^>MJ$L9ShIJPG?uU$FR
zo{X|}1u$%2{R}XqvUMr+mdn6UzSq(Wvb9#5x}u{@1Izhc20i3=*)=nD$E;VZ*Nd|a
zoiw<cE;PUSgM`UG|5D91q0Wtq!LqCIzk&T6vrK7+7D!QFn;`O>Z?&8Y?49cee)Y%$
zNAeSk_8y1I5PN`YxkxDpRb^$am#2{|mk2<_5OpqW5)?eH(V|Me=jxJlBef=S^VW-~
zc2BiHsn~n9R$XJBh_O7bT7ildjYh46GNC91bEwjs$Z;tQk;4Zh1~4-3hfVB3l*FJ6
zz*MCMnH-5_bhR2;7$c_&bKvhrWvVh+tfMB#w90#2c_GH*Q8efL0vC1Q!YqMn#1gnV
z>k{y<q86fXOBm0!-nJd-T*`-wQ@G`bb?gmqMM{_QuuKN7*vL>G)m<gCY+_c#1@vlp
zGB;I3y63~pU&Npz6|l=e6o{?Wi8H~ufg(o424%s@hSyQF1<Z;ppaBpz$&KpF)+z^5
zgPrzQkQO&Ns0!NOOXMKRVZDf_ZMx(=?hdDm;2!6Chh*JX8kfBoFFu+$G&5-(T{z~3
z5~Z#vu|!Z}lZ6!hC<MM(O%}#wzgkpF(b!s4%UUOm)=H>tjmm<PwbFqjuREee`|qD{
z+;P`ld#wOusOW9>nqvi#yg>>+X2AUV!CawG@H|hfE7Yk#)uZAhBxHRvTA+*)L}`@@
zbLi*!^@V|f9Cco#3v}q3dmJj}MFW(FZVokTLo(a{zJ2QpgWd-GZ)0Kqe%VsCC|EmH
zejvAxck?{8*gu#9Q1qX+KlTrLqbTQE-aLj%N6n2JQ2JT6TZd-OyZsEP7;a=vv9Lj5
zVI+Wskw`48BQ((eZ3LV_M2tisVuOtc_m8&8rba};s#Kg0rG+4{#9I_}b4VsB7x(^x
zZv{{Pf^X&G4j^Iy@~u{xcnAMw-i(9$c58{0(npH+7A_+`{TI_#W8}J#_UDHd_?R>I
z@#`{eangPK8fw%pP0i$^sDXRRmGOxtR5L14N9ulrPOlBP3@tR~TNxSw)4!W#;_Taf
zJ6gmYSX;g?LQqQI*DF)>DiiOiO+S<GOWEC;UhTfG#9)`l0Hg4IeUW~#?~8x+#`kqo
zr8-iZsg4fOok-LX%@(WTP1kGFP(Ee{j<m8~$`1@2>HliIZ9bwuvdy~SfX)H&MWqNr
zD#5jupBPgQTDFJIX-Z%EkE}fIIQ{W5g;Gx$F4hyh09o|?FEEJhrVa|hFv<4@jD+?0
z9o_JlL9g**p45&)_%WTQK}0>H=Nsl$iuYt1T=`E^H;%jS|HZSOxcj1+MmhWhIPCCy
zLQXI=-?(u<wKfWWpSOLcT548mRTNL%a>ov?#MD4R(?$~&P^ZMrXw*ezT~zNA9ktbT
z@K3vnS??73Crd!T|2Sivr@2x#PTCpdQG~(@#Bm7eI7f;Q$4k|kJ5sh+jeiMDIzNv=
zg+LylUo4RMSA;;807LXobXvOpI?k}zjWE7EvqVEhu1Fy)R?S3=h&$PeGGyR|Pp4zi
zc0+15QA(W@ZP)6C^K*r&Gd%N-VMN*@gEBgj6o2WZ!?OPQdS2N@n8AsE2X*6!u&eQ`
zCnBt!DU|3EVDOs0MouhLbmcACH2~R_s=lF?SQ%PqWc!l@PoM8gu$2B6y|>bw=p<rZ
zE*^ErZj9-1jcE(3BezrS?&9?HWTnLC2NhBLk7d6{WxL=xE;aE@ttu;b4dyC^a)A<p
zS5V3iY5!~0D*V83@WbgVzADwGsBCd?1DTJZ3>{x2=s25|j{ae4A>8Q(W1ZD~Tq3qx
zUG!1^t-<8A{mLvbswk0{Q=@*lpp)&wOLlP0MOm-S%J0s?MrC=|ODFB;dLpf~EwHxU
znq|Ih4!#L3k~V!A9Y%ObX%7Adf0}IGrwaA?XqHJSB7TS(B@oen5(TW4c_57o|CzRD
z)|x)L5kX(gga{cC^p8x6Xd&B8M9|mKw;d5wroT^Jg8%yv%pnrrkAf-xjv<JO2%@*P
z+KTU@qkYVxi2g>7X!n_PDADKt4Z|3XCCtTt8k~X7zrdfy^U1m`s)DOsv9DUg887<;
zq+L*~m%TCa5eVs!pNOs7w=&qNGGg7w8b>SvPrW*b-uNj>o>_%PaYDi78UNpbkJj>f
zd8~Yxwz^95$V06q_>+z`j`*iuhPTV;&te@1BuD(y(RVV>EN2L!c!u8E^u>4Qqjp~$
zel=DSzXXZh{*(D<X#&RD_$RhY|3`w=K9_<krEn&Bmq|Fs10a2MYMWNNT6`mE94ft2
zi{Ex%onV?+<B-@&7>C2eF>D<2uL$E%T2h@FhFf{J=G+|JScg}4qDJzlU6_bxxF(|P
zuqzkXth2_V1&3oN&gh1%w=75xBkXaBAjeqD86Hr=)qbQ!2n*Ji>1k#+8x4y5-=J<B
zvvC^FdSW(4FbZwdWvo^K3tKdGIlDyLu@GiEM&`HBT5#588u$J?2(mu^?GivGnWEW~
zW=B@!f@elX{985REw!_f(UdegMyD3#JdS8c`$vMb@6SqF|9#X#7?uWqJvA&pl?6s+
zlYEjI>1BrPI=&3yjl!_B7L%8suEEZvpcc3dcEKYs;JF4TqRDi*F&z=unv=dXrRJtP
ztl}?cK_lC%e~T7zswpX2QY9jEr&NhP#-GlSz4~O9Nh#j=0X0hCjqLVnA!ssCHOqh(
z%JDG?*K!Z6kW)5cc4^Nhd})QOM58!T+g6A;ZAfp0oQA$_E9A{Uf4k+HV+f+G5PEA*
z3g4X<i(RvR;=jYfaQlu`ym?_PNx+t6ft<*n##^u#Ox0kVHYX65-0pa66o`}3aLf7e
z-6%CH=`)QvR=svOh>zX-6*p~9z>m#M{w4T0gH3xYK2PSR8yJEpZlbp~Hzia2I_@ui
z^3rD^C?4CTvN?}W(JKkq*B?(2_xKOEm4sI&NgEG|G(Oc<u2j7EM$-6HimR5TA;u?D
zH`e&1FNE>=TKdJtC;#e=@wrVH9-RE58|yRcH7RS@F3eB+`b?n5uI$hE0`c~Gh~{(0
z{(P5i*m~=NwLh8EGRcWKtz7P+55gkwEGP#*tY@0t1T|RlKSbR)Cg|_rSx-#RC}vSM
zr~rmdq2HC$OSD1rVKyjZIG9#MTc7D0XoUM;CTQTymOv??6wQ{(?p*jx$k_fHjcv>D
zd|5`r6Rwqv7Uv)tFwmM{(ZD&5_Kn;`@t~-G-YB9FI@3{8Zs7oAIOE%bGoHxG8UEwc
zLYS=v`#m*Vf1CwIWtu!mjrygSNInnUzk|<1nQnZ!k*~Hj%j3A6#19jy!hs`j9?q5H
zJVZbWu8_y51DX+fJc_1ntH%RDq%64x_)TjZv95n2TEtmKmJv+EOR1XufIpohBlzMh
zlTw^^0X0hCwCqOkrUWCHLNRc3G+G|3R1s=n?ZJZEdT}gwV<z-SgZTOcvfCz1R)csO
z`nFA&$G{Bj2J!P4f+!P)-r9_e@A3hII1bZh#ieh9#p8|{Yb5aExjF%hmZ5wle;RKn
zw}k{?#wF}#%t_w1B8j~zM1ZH_r4@J1z`Hk9=2K&390wn2Jh3VKA_wKM>WDIh4<}&2
z<|BVEKF(kYKY-7Z`KZYdMDY>5b@=G)NUUmnw4%QOpSXP{^U3`TV?08oc`f)Pwo7GR
zZ%omv^k0%R%p|(w0gzU;(lnF;8{bG;)k+oD!a2mMW=4s%s_6@1RezR#u~p5#dSg|~
zBi+VyxzvqO-Pw^YjoO7x-F{LhI_%1%egasx*HtucJ0|rvb;AXGiY5>gex$3B2azL>
zbor4M9xP0MsHd6To;E1*e?Z+h_VhpDSx@Zg2u4xnw19;TysydGC7RPW4zmWo8yq|g
zZHVqnm&#;G;~G<`UKyeIQ_54oiW1_N>d0R}|KMTpYC}GlHek8cuiD#|>7mU1a;C+~
z=cVOU+OK8$fE*fe`hcrChFfz4lAU)vclhre@MEPc)RKjKJS`U%Gtm+`uR!XR6X6KH
zXQEv7W@|HE2^U?ONR}c(l)c8xNNEz8Q3l0J*n*V2Vz^PB9K&TV3dNxAhY{eMD~mKM
z#9AUo8bQzX8On=-&kzeeHC=3i`z9;RS+6uvE*)qfc?w3AvC^z_6>>M?mVadwN*B^`
z;P=4|TV+0uP4pq<S*cN6_6Q}_U@fgy#itE0HB!9rP&pOKJLc7k)dSw;1#e3O6Ddsu
zCNYSwz2PCwCNMOV9~d^-HVWCWVOYPFwIwv0yu)h2MR!UYs@2k4<<P)D!3%J`({1!-
zVJ$#{g%{vmJt3$8vDKpi67jiIF_l8&V!>nvG{)Z6uCTXHEP$SHtO2yu(_s=Zxx!vM
z3Y$5zo(!Oj(R;eW=<#;`68sSYU80EgR}%=rUl%3^TU&;Qho@(o6SZp2Sz95=I`qbu
zuZ~uxHeWuFLu*EZzj2ibOZV$EDAYb^E}OgR-N9!w6FxTpB;afsjS?JBw3#VPQI3~T
zOuc4T?GWVW7;g&A`YhdVA#u!lg%JKEmX++sF*MzWsjhBHiJZ%mzM=MKcp24~Nb4nh
zjKld2g9F1D16kK9=oneNkVmPQt5!<o$=NkRYoVJp<$AqVH=?`L8Dvj9_(*!#3?*8{
z&W6i?2x9f$aA+OeA{Gl=sU>(KVa|Zai|;i~2dOp#8kIK#B(+IP2BUsuXcRKT)QfpV
z6pOwD%Q1I1rFvjz%qEW)thbKt@Cptsk#+%pVFQe)v=itMl>5!_@unQY;>8^<vCaoY
z#J|UXtuNrhFt}6jY`t76R}Pj(H+lOu?2ix!?<GnIaqufg89s+c{vZ>NNP+S{nMY#T
z$rdOlM^Wqbf;v(yWO+fV9<)4CFDqjetn`BwsD!NHNu3j9o17UfZ_2Ilb~o!YC1l?#
zd--x<yx?er5HLD>-v&^dj;RK{a<eo*O(%-eW&C?5>544O>FHL!{vh%doY`8P5<G*_
z^i6=0PdKO#uJ0B0q}3{qwt_$FbQVh-WqA<<yw*o(G4vR#Mo7%ZXd(DbEnUut;@2y;
zWB=mVs7h7rMaUU22-~Ra4ZF$Bn0MG3S3cx3Tjxf%w|FS-D?s*yL+K#f^u++8xagcn
zSPc}sf&7~@R4S$-_?W4Vx3f7G&SF)>1wJ)R`T{fwIc`lp0n@ilr6ksWYtH0JFWU@A
z(;n=pGqA<fs9!pfl22Q2K(%fs8J^}BEJfkG;Y0Q+a_d0~A`^v_bd)c$TpKe?b;1_U
zkgY|30afQZljtFnT<8pyib-7fpeL_RJ8?~}^i4uAlEis^{#lq<g4(QtmWli+o&L{C
z(W`X&D<wRW(_c9ZH8-|9{Zl0QxCc-Qr~h91#ZG_z)f=b(ZAi5?I#fGU9XeR7SLoh-
zqnpIzSqm+<kKV;0z(v-*uJ(@e4J3#y53ne<bCI9g{;3kzVXyQWV3Bn{XcR57;`8}T
z>9+Heu|Z@2ZPZJJa&;U>_l1#SqddgAdEvI=Y`I<t!vr4?m;~jE7>fcykEpxgE&J(j
zhdxCz5z#V;zn5togdHJFyf=_FkDT;xg+TdrG>Q`s@-$}R4fyuKl;2VfF+&jlR|qcW
zOkx7hdU7UV*HaE5fjXNIFtJ<NC-AUSCZ0|7--hMgVDn0(#SY~0R(ziDl_r`0J{q^r
z{{uO^5|6PP4}0t9B_&CR49*yRkH)AK&i9gg$w5ypaOAbE!%HrXY^KWaS#ge$X7K=S
zq?1Jo<F;9^O_H@cQ9BesI1-yH4?UgtfFMvSW~Sk=Ar}sv4h;*)DePggAyy&(hLhZA
z8{_i?jHS}d+mPU?k2*Z%>P^uoQe1pa<R@lIEVMuE3>C}1%3>q<B9&_w_#_pl-~R}~
zAbg{S^*U0nb9boJ_By+Z{YWofp87v$nz~H<`7LVHFJ)q~ihUgmdb;tlwNk=KXT3Hh
zv-Z<M2#6u(a^Y}<>p?6H$?^X2$cvF>D|sgM)a-bhccWDxZc7FIJcSob@6ftD^w!?@
zp+#TW;cPX5I_?3h$Au?}0sH(P^8Dgi|9^|L3Pk^uI`%hG^eT01#rA3wi3Qo0fi-I5
z)9e_fV=op$IxLOex@(n&y`FxthRwfvqhVh^S!*=9OK5sU#w-b9#4a@HQv#YafzLv=
z^8}%{0Mqt*iRL>elxDkbI6u{QJH)gTMzdH^KzN?jpL(gYEWTGyEll@~w;c>x{JqqT
zqpEJfv!1A`A&jBaQvnAnQ#Z<)C90?EZj&`$<QgfCvTj7t1*}31<G~QUgC<1zL5()_
z?1YwP%Woxq3i(-gXc5#tR@iVTbt7kBGlMZ<U*vQa&Foev06`%48=k1<6%>XOGjE47
zR%Ei?JufAAJ6$u(D>cn4mg4=_cS~o4S1*sxpn^~3g@|Q=#w<cjkVzaT4<d2~#e*oQ
zg=48y@>HBL<%*?J8G>sRPGY2y;`D%J4lZsK$I6>L@tT!y!F$6V@=8${Opg4xH`R-y
z6=V+BgR_cZp`cLb#c_(&8J8~`-bk@@fX-q`u_@J1w5kEMeiXgtv^T}D?16cll;OzM
zybg<{^m>Q;gG*`Yutc|7M&YvYtxhMYmJp51OK6#<rG*FUVIq{LwDEufca_5&W&mFL
zALt71YrEt$BQv_~DFj1_!p1*BlNUBk=&D|}O_Y9Wi0}dE%+?bPyZ?FWrqBOe7F6<~
zryQT6D9rf&1IXH}?TEjj(ls1l=k1(jrx%rM5r!js!WzOAHn2&S#=$KYHq-MIp+X^S
zbe5^#dN_eXV4mIy&{uJ!L0#6%qcf%Q&{Vlt&C5n8e<RB6c#vvbxlFteRca9Oq9Bs>
zSMt^A0<Ly7^7-}a2EFwIs(cO{1f-GWP#k9+;#`D^@$)w^%@Dk>z5;G=eSZE!AZ@@y
zsFX)pS3_|DtOdy%r$8mK8Dj6nh{YtH5Tvl<j&=~K^BifgnJ6I9f7t#;vWzUJv~EC=
znn^0FA4h*bkUuO)EzDr6Ow&&C1j){D7&X&muH#-W^tK>j`aufn4DO8u!AIq4p1YG=
zGLT!x&&9I@Mm?-~tgV;zlF@#FFneXkA}q+j-<=x<KF?*~k*o|n8qJUpGZ2L+v1gb3
z+Ps>C&}zY{#Qmf5!sViROel{#ygXT)8W}C3LSRtpj*?i%T;#g77e#L0^YHN=6dyz=
zn+PV_oJRmvptRVaSDl%fp4|*7d#w_)dw+rLdBJvY={z+zOXm_Soxg`iODO}`SFm@^
zS@gov>(aV7$m)}>)kV~(U)u1=uGLew=(s9r2?_H8s#Mr3jmFToP?OHd0yA{1KL1R#
zaQ9)mQU%RTx(#V=Dcy!Ar07+;4b7e|ye6?~sd5`ChlECTl-n@&KHiOhQXI{1rC;ng
z<X^pU9B!K`BL(mfJIuQ|lh2yv#u~N@7vi%m7oyc;9)8(+rPOFYhhJ`erL@|>GtJGc
z5bg&FqCJZ7-m`mk+t!i!NO>dd3p#n1vlmD2;*Y{k#t2?%YRg17=G1+OY$xzy&fSC0
z&B=T4`I#;KcMyk7jfXG~WW?$FG#bT80Q>ZPGUc~)`fiBgA0W6Km*yTk>xoO#&ah+C
zK>0NVFzl<ko8U@w?0)G^BBp)r&Zl6Ms6)juDo#+Wo~4PVqW>m>sLy{y0;bMVV%;U|
z7+k1)&v^bVjc4N%-1|5bU9LM0%+c|?j8~q4kIx&K^+w@I#%0SHj@g?<=-w32U-Ouv
z<~Tk_f#>`UHyIm4NFVB)3u5RnIOOZwGdqnkB$PJP99r_lh><c1j3bbU5?}B;3P%-%
zs>-sT)wpOUY9At89rQL8uX9j4g)mU$-w6kS8lGYZP(0nPlSmb?MPIrQb}`qiHBl~$
z%BvUQbwmb)g13WfrNAkA2ov(Cm5OC-5Nv4U4!osQnyD8{G(TJxDHl;xy#fd5bQ%9w
zr7A1M@o^ZKT%H}p(<z6ltgMa+(*+WWiJ&Ve@T7{4fUXjJwdAKAB+TIc2mvBy3Y_pp
z)&K=&CP6WBm`>qtED(u&B4f45$=V_97~1=tV}{tc$?^+ww~?E%l8WF)mc2*FvUg{d
zW&XRUh44EX$q{h#wDypXXKKA|`l=PE76NKe(?>)2W@>$5W*Vm&O8G)jYSdfCB@_Dp
zee2|Jp~67*?oH<!F|6+VDdy<zx{3ZTg$<~^5=SRF?gI(?hO~&;;38%tA>(p^81>sh
z%v^UKM9in=1~DhQh`E9}W`nJk<@Zgk-!DCO8{pw>%uF`(0|j;yfP2;zo_mGb%{y!z
zoZ8>c&D2g0wR`i)hOZq)B;CyRqad)~rA3%Ec>kZNQNPsplFi>+<eH_}BJ4nwCUzi1
zEYl9BR<pMUM{(-2shLI-mBWx8&)hc?n^<U&k=BycH3iv^bH?+N)HAgMjgFvIXrR&4
zco7|FL~m`hLfl-}?bJ2ly6+0Qrwd`MLC!ver+CJ(I;!#^5QC)jA$*HJP3G!UHMCY=
zA4GdRu+o`x5j9HB&2@8Ik{DX3a8$?mAR<knUMlV$t-+G0)+nU|>xYKDi_Ovm9X5OT
z52>kwU!iK%%lFSzNJo{o`AV#n$@KOK`Pr;XoJyM6k2Le}wsc)4JjuLl&qE`3FSC6}
zc0R4FdD*t0@7QI>CAO|&2(XqygZt>Mv*yO;j5@3tMbbxOw>3IvBgXPWpYP5#dHr6I
zKtIa|NJ}Eq`i&jkmp(wF*JSVk-mN8Rn16w5@cMfIZYw5qklqUq;IGjy_5kv)-gp4F
zsEw?PV(3?9jLuPe-o)Zv%_Bu}f~<j%zku=?Si5^%1>REwo<H{Xu^{O@dhks^wmo{Z
zG*$<|vIg(Nx?$^$^Wo_06xUApU`j>gJ$iOw?z?ywsKJc?KdBqX+xA*K>xs85j5(C2
zO#s3kpd)f>P+dpi3J4zA*tK{!syINkRB*(NeQzchLMUFg1rd5ljg98lO8yqh<S!kH
z1Y@68au}h8MeVLD=u}=kH6!x=`gy0rXwE00E7N)r6iK0kE~K$?mpz6HdjT=md_r@L
z@f)_5%BUk9bYvdr-PZqCYT4(1Hw(H6EB<$=h44L?(SyE+pXm4!+sc-qBY`NBjVj0_
z`iy>qus=me2>O$U@#5(yM<Pj9vW~-xhx4KV&bX^c625u$RPnGp(T{3VskXJLRArle
zQw8dVlh{p>A9Pe5Z0yhN<Gu&I)u_9?TAiD>{#)Zfvl%bxr@%3;_M7O*QM_e1Zh5Fx
zpKSi<yZ6e-Rh6NGP%hn)cFQHfqfWD_QNP?!lFj*Z%xU&cJ_GY=BR+D!XgdYTC(S2D
zG6tSv)t=+P8kD+AhehWiSrl~s#o}+%ACu(*r;}8Y)*TtWFEf+S7_}dUz?&p{aq14>
zT%NHlCZd5lb>~lGyY#;z?)99IqF1SL8~)3najQ*SvqVRy?so%9p>y9uzgXwyU%k<}
zuVu;Bg~GitqY_BtMV_;_9$tWItALnw)}pJKjj0E%RhAhbS|Hk{a~t4(5WgcEU`jV!
z=*TpMZBEn(gG3R3Xko(A>OnoJ?5e*(i2p0pjidUH<5^Es|2BqDdcS~zH8@|+D^%~d
zl)8<(NdK@evwO(zP=_-NDh_2#m4~x%nTZ50wYrX!>Zq+ozyBrz5l8M4($q)peuY|`
zFAli%G~>4!b?Z@&6-F_3U8Kk?@_zIp1nCFp7YkDU6(L9^z!2IK9ao7aJ|1e6YSTy*
zmQ5~_BNXLKnzI8(T3J(yn^B_$>suD6U=`Ss5kN8G)lOt>&$lZf``4P$!o-TLaX5~a
z&*+8=GUK_8Al|o(sLk2$fIJ9X`;lJvEOx)Drx}Kyc#n%gk^fKBjU#qHiDx|#yAh0{
zgs*^wrP8P5?2?4<25B-N{DkgF83da2=O({7U$!xq;Buy|QNUaFQ^?jQ9W)0O`c=-L
z%8znV02b3bQ|>>VF5~5{bfgd*>_|CBhtsr8OfyI;=A)1~#cJs6TKG!>S?m`-kkBXD
z0CK-jgoNT9!fI*vi}P<#`^B^A7w;GRD{8+G0C%%rJil724mFW`mQ$OXlvLep9^13+
zJB0`kB6kuY3E~{$7ucF`_yoIjkY5D?b)+0$t{b-Avk*7LC~P@G{H#c#35g#0Uawvj
z5;tjVWEbxSlm2$<#u4vp@vJA}Jq>dySuX%%S-)ORHB{Ey4))u2<1D$1iWa181I=sn
z@<c?U%oyh(e;l0d2&v?2*tlvlgQyG&P^>hm62ORfV#=$}ZKs-u{s_&g&mWePORbw9
zW6aMK+^;EU*+pO5g@X6E3PqJg;0LBSSp>*ZK)~1}JZpS~zUHBD8`Aq4>WM&BgmH2(
ztco1X5dkgYaV#rTate5*5+~@i*noY-Ny(>*v$(w6KqhC(Opd(59FQPlq;lXKmFmid
ztRnK6kJczrxk&pgTk-AKgOp5~`$JXjaaj-y>e)Ar%{g+)^Axi*+<d>_=2}*6_N&xF
z97-52>E+$0mt+A^d5a&UM*UJ+CVPutvjv8|5k-c5DIS@kUljjJ@sr2pJ_-hhR4O)Q
zXgF*312WoJytDeDL{${gY<M0lj$Ru`GLC@g{0JC+v^kL*tJE7!Q(AN30j61~weVnr
zcs`PaTR39uH_;+V_m%!{;;NJpCl93PRr<fxGEzHAtoE*MovA%mGkHh;?~egW;kNlW
z{bDtoe?_R_QXlQqWpjH_m68`3x>3NlcBOzz0J>1Wy-4+2_uZA#<SQUcN6Po#>xQj&
zFL>o!<H}LJ&j{rgWs^s|)dGsu?tjsE$gXx99Qxm-ZXC7yi+I)(wL6)ql+rE0VwLSn
za-xY!_f;w|g|?%h(ybOG)bP>)OX=o#0`24OyaP=d|AZTX&p!V+`o{|WiuIguq{y+v
z%uJV`YPwjebahw2*im?=%u|;l8uwD9aD`w41x9D++`(hJ2tROlY@!UEqh2<pOrR9w
z!jozM?Rkc;mQg`8Qj7z6UeApl*Z8zrabJOGs~n<DENd+-PfeqsaHVnNbw~6e-6Ecf
zTCLB*yv!K9HqUiBilx4PwqO|=o&9Fp^_;sxl7Xo;S3QQ{DClKeswkt7vsh5dz{2=h
zlL<f4uc+}8R;a-xU976Xj>44$gHZPkC-+j_zctgOWpK#N)Tm!d>11{P0u%WW6o6V`
z*TOE%r&_GF(tHi>xG&2bSxLPYEmA6}go~6)>b4ZUN+nehKa-NG_9RW3j+E4w0!pEz
z{s#SGC6#~mMoGOH;cO$g`8qmOMW&=iH`?jujM`~%<Vdx&_4Wm*(Ydg*Di?Fcc#fqx
zyKTEtncog3NvBgd=ZtUB4UZiJo3qB1AxMNn%YCe674I<b*Hg}}9UFA{@1t%U?f79l
z>xp(8!#GMU7Vxn8^+q|vP_@|7$gU7)hbRG8WmhIH!6P#&^kWhMqwql^)T3OKm+^z8
zm4W3BTWezYe@$Ta`Ja{0Dk&SQ5%K=~2(=Igd4Hv+8rw{H5EN!0oI~iB_8{+D7*q)7
z$LSXfXZ{r-oP7asHwSswgVT{`p&P-RHR-h&F;XB)w@8e%vvV7(&bpFv{~?K;%qfnP
z`>}4gAd_Az<T##y#p<~@b5non1;o;9+15D8A0I(s(BdzpZX9X$Ltw2Z(kz5AloS(i
zuoQbz5-n7U*(Yk3LX6cb<%1Af<hB-AlbMaFY&=d&ilStu)^M{l(fIZ+A|&DNRxHZx
zpdOkP)mC4KS)&zm2|4;~IVV_|*K1?8bURflFHTQSB6SPh3&#NyVVGSbxCh>#Oe`hJ
zZNiCoSV9fvDur@^z7#p45inR4<ws$&(`Q_(l<fPUgJoXEGNjxnNVz^MDgAZSLfD1|
zXCby>igW-eZw_qB0;4($x`7(?%VnKx9OiEq+l#6^U)O2z0;|a!IHzx*ao$Sb28-<O
zEVE{FaW`6|G#3dwDb2;}_|xQTAgOM_H?vGik@9|Olt4=V$+kR<dH<QVXV%(&{uXtH
z$K{3T!hB$LL){B3U9J_1)JDitWG!O8DKBqciIAI#&noeO?Fk!Ku<Xpr;Hb(K<UZCs
z!&}^IGht2MiGMZIEm|q;=1%+(^ljgX@29^{MR^_nLo2~p5c-dTgI~cAKv5386Hjk#
ziw)mh*DV1w+Pd#b!f!*E<TvZ{U&b?z#yK$KKP|4x{15&#o<;L_A{AF<O4PrW3`#yj
zxQOBC-NwZSC=0C$hK%LB6?SKe?}86C`k3oJ=MX4<T9WHNlYjx6>-=}&<JNLSk|2ly
zJ8Y$S<e}CQ{K=J@{ZlW)+hz1;5vlK*NBqy@^JK33ONJnd>*%dbQ+#(exGo&48Xqy=
zfKS{$llkNm3}ZY(1AG$OrT-(rQooj>S9zvQA~lozj|V`y3za^g%#-*=GPG1_xmv=v
zy9))Q#AZ?@RuUHJ+1v1oEmHm!VUc!uroByQ1w&KC21<@+bNJc!5VB@cwTA7&F0~U>
z272tuI9(6K+e<5&y&dCpjc(X_>%#PL!tubQmX|1u|82R8KFE{6Gc7_`q+YLQn%(ne
zu;gDy-8i;t9?yDWt41-4GFSyLY_MJ`r<Z83t_?L<c`*qEJi=<t+)kt4-$$?^C#(cf
ziKu8MRi^90XGzBW-5U3nj$6rOzgDVz0>bXkPOaE^9MRC$7qp$oN?U)NS_oU#;IF5)
z?2EI&s0^T4YSb^6eX=dP?RH_yTI<QnPa}*M$|Oe#AReF$uaIlw=Bx(B(4C{+G__iD
z)FBr0E3+VzP2`uOMM@Kyke*USI>?{Sk%|1?ER#|k@@{IBz#-X9<U-I`O)`;tX8(RR
z6H25d@>fihX!&kiB3X07{WbcwEs;I+cbonD7Ysp^B|>j)bqU{{7ia&PFp-4surS=d
zV-;~;7$0X?qp@XKt{>%3<1N<<!o4NJ<%wk2aJHo3mh<DgQC4iyXIl2K5_bIdAmZaE
zExGBx67XYllmAV8oWZVr763}-rvG3FqPU6P+T4^(@uw4J)JE~xE|m@Xp%lGJ8<b>L
zCIK4{fV4r?KCTqJ_(swORf?+?p&>RX6E)Tbr7wgHdJ9pMZBYKz8yj@Hv^}_>ST{!K
zHQDUff<0~*R_Iy5SP-(Ycq&3L_>aJos645yW$Ny}5F1zp)|24!E~Q@Hju|?n8@7IX
z;hLcmMb1g-iXctId1>%r5KDDE+3c36L6m<#b>mo~FTk^&SfY^(qfAi&4Vy#v$@wLk
zq649(C}TOo2+hz!<J^BG!2_4L1WQS$*u95OPLBarWQ4y=Biyn-cPHAP_PHqx5-32h
zP*i<Fk!hO_TpN^}g^8k1uzS+CA=sM*!QPmaVE!Z2LfDiBCq1<(|1b-T%3^pgHR_iO
zIN7Egk~SsNV2}!IP|ombvpkLp$NbQ1&P-31b9u|Gw4OImbP~sA{EdezpTQsnbM>v~
z<7f)EdOj4^`^U48h86LTqD4vzl}MOUfqFN8I!6}jH?mAh@!MCaQ3AhZw@|N1uuv&P
zqgwM&bC>JFh+WbaBnhd@-E&!);?RApnTidJpJc+1G%%iF3PtY+wt<n=T>UBfwhfGz
z(%)_7>Qf9slz~BSZ36?}4Ft^9SX65SWod-<<Bl4u&GY*CA<rTjkCs{Uef~7wkUhFb
zup4g*B0YXul9Se<QJe&^Imtg6A7?OCufXTYoHWP~L~#<mbvUW(BUrc3WIh>S7~>Ht
zk6;C##CEC7-+xQNebW3TftX2p#{(eEU!`&=1v9>pG=G({tmSiv`OAzFYyQ#~!u<VJ
z`o-oi|LT$Xi&PM0n2b$anQL@Y%`&U`YmeK7`D;hC+g;|{3t6tP-z%qA@Szs4yaT<_
zSz<vpkB^D{E#0>D`uQ+}Q<bs|B7luwQ_J!MiL!}jKX4>J@f>7ayAc1o82?+1{|(@O
z4@~?r*@#pW(oD~PH_g;BUVjtMdTzW1W}}Q(0S((yuahJQHC`iUNjsZd(5eG0=#WWT
zQT{QNDLw-r#BzR=e(`eVU%gq*w>3~zX$V&?OpdN@7WI~lKCSlAyI9&6S)Q%-j*(Ur
z)gIed`Kj%ns<j^WD!Aewmn@^?ewG#g4c)f&hWTCb<?1-}a#6chL_^<JoGsT2VVH0h
z{UXMqK#(b4Yd<x`Ywf3qMiecB_<Kg<Aj}^YQMmRgG>X%-l-zj(<jxOLeoHdS5XAp?
zg3FOnU%|7U$f*8UzCEHOm4JyQ)mI6;H1%uycVl_m<!kLsyV|Fd@RcT+|LmJFZlB*z
z|76M}u#g#?F?z0?Qs5rK%)PZ4#3+gqsdW_d!Yu@oj|=w-n#BVso-hN~8I|;^*Wf}M
z^CoJC__hM8NO+JlR~OKj));bmP1mX%{YV!QhAEhIl2>0Kfxy`O3~!xq&ew?Gp+Sd-
zf|vGJ263VU@(LSM25wfqu5daGieg(Yp&eUZ;3p_J!9myseiy`8rJlUT{$&J%a6%e}
z3UNXvdxY%zjMDpIKhjH*r@lMW)a5n)JE&2=lyu3S$g5d=(+Tp{N~!4`n&A4x<Rd0a
zfcT!+oaux7aaa+^lfk?$qojlJ_$juAiPV#_E#tG%D&S-BrFlMz7fk8UsCas7OEehK
z>oU(%6QzT;SP?D^N$l3=7kN(cj4sVyqIOENcV~)TrP-^PT&X{?AS*3dZC;xB+Ra|!
zX^YX4-v$_kmi%`5#ac4|>W!AXjZ9vdIHnu*IBVRoHEb7p@w09H!kUPjP`gUJJTR^}
z)eJn-oX+Cs!ytjZc!CTWZ}$GFZrl3J1)>BS49U1-WAZMMD0B7S;B%t^2cMtW(tigL
z_$7^m3|jCP&?v1I{MnS>k``<z;y+4oIa=@s@T@0VupRJh^Pf_G1u(3veURWvqyDbn
zT}Iwo+L%<<CtLp=^u{Pt<gS^iJ1EUly*O*aFFR<dY3e^i@b&pWmS8IB7+e>QM#87g
z3vvlC%AeFIH|NZIFFF3W<MsrRD=$1F-{v&ATdK`~D$IWfixbJUpbd}73=la`+$I!~
z+9GEx-V=eiF1I2O*M%0;R39}aYBQ6_4_eMm7aI+6ON(e;tB>Nu6Tdi#msdhg37JQf
z-byei2Q9uS3PAbc>PAkn3m2Y-CL>bmB950kC?iuT(v;%Job!d*6B(p5rSgqY{FSA(
zH~;gAF{*_-_c${PYRL{>P>blFEOw`VBDD|-c^C(`-nJd*=D18gg)?*<uY1E=%hg7C
zSl%?RmnnZS&fN8_<mRE8<T}dDT=w8at(GSd!Hq-!hdEI;Jsqjw{PQ4gpQBg}@oR&a
zrOKJ(h&^FAg59~j;xkx@MdWOQQXK?A)H=*V9bM%>YOJ63SCBoYIj9PnS4-qPm0h)n
zr)|3AZT&o_i&*ic3@RFz)$A7^O&pq;w2m$ub3=)>T~T6*pu{E%Df&?ee6cz_Te)&k
zEkk3or~;)j_x}C~#~nx2GFhGu6+`M}GRNiD59SJm0;-;ig)~&DR_L-s<%Q+?W>f*;
zs!zpg(|(>`Ul<ToGK)h9EI`+Cki2Mc5VeMenzbQ$qiNs1^@Txi1OB(Muz$a7DO(h9
zztyPqxqYky<f+B}LB3%Qz}o)UKj@9pP1((3leJ=V;|A2JlI_-^ne%Rc&R}6=PO-2-
zVPPbIg^@@stRpng|7`@EK}3v1A!37#2=|Y+$)-j`!P4*Yp|lVL7Ox_qn?o{5LHG;4
zl|20mz70df0_0n*Bk`7fGw;5^jXJR;t&-vJ$4JTkY@C4p{bCabj=uSd@;`+<`=<4*
zWxFU7y_WZ7+SR1j@?L7xFD=t#ujPl7f(5^&(c%IY9~%@fF-FRDs&66eK&8r6RFowf
z0#Nfx6FKp%@_3FSQAD+YdK?Y)L=H)vkuu0a%*%`HL`?+2v9ZEk(fgbXj>Fg1ZX_c!
z^Fgnvb{|OG>c4|raDQsV+Md%N!omynoK7)QMTHg7TU#f`cW+<tn6^}*V*ps_SuU1?
z>ikK=7VGHp$jhyVX2L8dUgi)jC@~z*gi`HY7(nS0z^9t`_^%LHlN8E6-)9bs2SWO>
zY5k}4W8cl6CLgt=%AoZAOc;~G>JO+<dSP|%-Q@JpX_0ma`GG4q2XXW`s$E!<l|~a;
zGT|M8#poG90%cVQo7FgFoGzCtW5}LHm4c*KD<S4KXGT|Mq5VjcnHlKOOz4nDFrQ|E
zM3dQ$kjxru`#JO-E6q4H(kB^$C{adl9Z|NkV<M1Cq>T(3iLF~Z?l_FPeZC8O@}m1#
z0yXHAR4zK=<4lV#c647J9vQtuc)jBr$q=g#YM*MDcbY@2{BHo<R?OiMy%&c^%WqMK
zNBpZdhetQ?2`Qoky16X)+^m6BbSjH6yEryF%|15L-LWFr=_SF7fNy(+Mau%`lAxy>
zw%#-!$3z`to5Q6{qMD_O_DZCh2U-@eK;5V(7<L2{e}-m|<8PpDoD-WqJnPAcO(=t?
z;~D`8pB?nexpf>@sXD-38ZtpEt}-@I`YwPWmi^uIi_eVtS8ta6R;&707pbbUmdrMz
zcCqyBQp0wKT`m5aWP{}6FlX@}&<z)4O==rK&hpRM@5DK}{U|5`epyd5y9h8S@*kjX
z91$>vXFU-C5sadQfPjUCz=WJ#s1UHTDxYW9DWzMfz~LIi6`>NTIi8LGNaNLighuW2
zAC`kBvmQZCnUmkL5O*0}e-(iVjMO6<speF+^{U<aJ9slVCW~-~kgZB-f}hA+{S`c9
zCk4ecGJ<hiw2q>RsK<e;rn%r}k_2hG@$y`8l=3c{E2aw#EW;%47EJQatW4tn9<>ms
zi-r<`gOJw8$p0_TKXx*X^TM|+PXhwaO5%hd@T^#%FGu(sVWdD`l*E|=tiXJ+U<Ay7
zw|TR-Z)DIb?a%G0&y>wqBW+)`eNt-sM0BFmmScSyn%Jyt{W0j~hR!6qNfm{mgh;xd
z9O@=bb~vQWzx`+yepL5;KTVDL<tC8qAMFp;VwK`nE_D^P&`S79BRA<oNaBCWGAT&n
zKK~y=h~;{yq@7BWPid$AMT%afooWc5!A@1%ou)-pkYlXM`m9@(%6cOGVwIJD^+sjA
zr7<%-jbghE&bmplEnO(C*JZV#oUtR-*Va20<lY>_oD3a|sZ!Eso7Zh~?@H4?AI#E`
znSHKqcq}2=nA<1246OFA_7_@c@s6-YPdvNsZII><Qa6t7eL9}?ME8zmAf<r|h*()X
zOU^M=1Gn_Y8}6Av!Fi6HgJLL-uM}Q!&t(c3qewIq;d(|E=9vaxVG+;EEI5W`$Upq7
z8$0OBI#KATIrfb04mpFzB`b#m&?+8TVLvrMFn`?cbQtZp0^-$y2|*Egxx@uA*89m}
zH)j$ILhrv(g5xSN?!G9Uri${|j6ygxt^Z^ig9`u2{q&1BBmNb!8TkTWY<v@)*08>j
zYq4?(m@amrt1|9HdeF!%NC=6E80mhxCEcz5x)SRzmsC%-VjTy{OLfE6n-}2TY2nB5
zpDeRp3HOQhBq+fj(R0i$!3}==H&8c@1pie$>xl#pXA&j41t=`KUm_<LF1n-c-;*ek
z5<qnT2@o>Fv=ZPW07FQCkJ2xe0Q@UL0?1|3>FVF9sc$Z)ccYQs(5W0S!*?MO&JU9a
zcF$eOhA&GF$t)Ybq#L&0xsYXpjVVV;oEE|-YEut=7nB^|))>erIbQ#P;}Fh||3Kp~
zX!QS?`g26c=kcs3A|#2clrRxMu`qc|&Noz;*q+#%ZBMMmG2-9r721;FJUmoITmmjU
zh-=a8-r~rq3NCXP&y@Bf%w30?g8t8FHhun2<)o7NpD;om-eZT`nQH%`sb;C_U!&VA
zbQ6I*xKP?_xLMu+VNkti64wt9`$3ltkc4g2rWzh1F0C|Euhab;akZsX#s!2?n`j<g
zI6%rk+;u^n`%)R578?}iHj7K~Q^i@_@@-5|_oZS9-BFjg@iQ~oq`<ep-53d3WsIAS
z)~c(UxO0IB6>$eb+_DhYD!4xs`x=+Um0&`A<Jg=d;y+T&(s1(1+nAGA&_9_jxh$s^
z!VPV>BqV@y&ODP|77&$ZvY#6DOX-;GnS4#qGiihl_%Xo0!ddC%8*p3+X;f4d=5kf!
zFCD;v#^hw}ka%bHLs!d!4o@&JRz;(7u#D1@`4KSuXmcVrR;f3d<{V?;0j61~weVnr
zXkMR%TiE4WK#L^PR=RwNt5Ujr&rQ**bor`fq;`{7<6P<3YG2h%-jU09AD|RE_I>n=
zb!`6C8y)*ry|1f_Fx_a_*LSR8%b@8l^y~9N^=sX4SK9RqNRdt^JC^tTx?$^g7qoV*
z@#N^%r?l~h(yT+?XhFn2vtQS9&!|^JW*EHrFQIN6b$SxddZJFpGm%oJ1xT!xRplfT
zmFdfGqp)45MzrN<r0SqvJSiQplxcRmYQ?#;#+n@dZxfV#{#zulO030tF<D7IR+yG)
z@kUJxOGUnMPrX>FvI|l2IEO&YOhZ%w-v=v2Z@gX{t&l1_T5gp1-<djJ?539Zp~)~O
zeHp6!p`gm|XQhh&UTPr}J~QWDDtw>F0-{p*{+t^1%k`VA@SVTK+_Kgr)9RY0LDFX$
zy{)7#u^_&bWnQeBJcbr2RTG+jO4a1UDSDNvi6XdK!>LpgC8abuI#Nx30w{%Q@}KmJ
zRTKWz8`WfsSfh<@6p|}5DkO5qF4T}yEj2{<)|K*c#!jrGR0g4=e4L^iw%)h^l@E;_
zN99<eUkI1K{#!3?Rxd8nv&*ht7|i$=Qa6rzu>#L}qF#hChf*p8AiR;Slv4{;D$*pP
zRUKfxhs-anyMH^t5bOOW`o-&=fAwa)->iiF5Z|xwX4!Afxa@-?N3Q<X+ZW(6a$)Dy
z6mv3ZC%|^wb|t5Zl55q@6s=u4a%#VBc<dn9#GI@QK_c9i?&F~Fn$}a!F1!r7{2F!R
z2(NqatS7=NhH;b(6Y#JMdx4x`xD2~qml#{WWs<Vxz%UxVjgt`b;vXJlAD<8e9HXpL
zcnM9AQsOMrO-;0h{SXS?Lk^yUfgmRZhE#^_atjXAG4DCAb-IgYabQG+fe;KF2GSQd
zDa{|P*v~@d6srM}73beeV2j9+m&zF=>9F$LSWyw3gz#G0jpUCpsMtvUgnscx!oMOm
z5(#iukt1qVcBMXMjU3T~Ms6Wuxu=aBvHI&uG(RS(o>?@1PB&bTks}s<93^s@^-8Fb
z))T$fcu{{t&oR3!Hu&+sPTe@N_|tgS6IpCWj+mJ$F)Tn~G5i@hxll1|ANH<8K|W4)
zMhAI(#a#NTL;#>3WUcg~XoEa^Lydm_8G;Up5+#ty>`61E!`p=z#-vfCZs$Cyac}vf
z&eogOaHBjqR*>klVkT2;Ym0UPZ<a|I+}2hGdsh3}3VS?fV_WHTm}+AqC?ew<T@aIZ
zsS^nXnX4}hb0gv)nDa(*hG|NFz<yKK6_j@mY+Efi$hS9)gka(>O=B3JAjKoDL*=;D
zM0pC>pw#%cmg`VIn8|gX1SEgXI+np_2W_zgE^!DDr05EJDvF*tGd(jpOSH94XQ`-3
z5HK|_Nr@}Hj9Y12gv>KFTP#9jv!HtE?A(<JdotC>t<<PrZUV{9&eM&vQ;Q8PQNv#v
zbceqOeulC@&hE_nnCS8RAx~OqhAG{dH>c=TC4q26e=I+!lUB8<X@qy=&U^?^3a#|z
z^ozAp{uQB>O4Y5?XvQr{Ky?wxoYkEvhwMTdwLMn4x2|;2cL3S;-WAP!j+@}Ob;AYe
z&eYg(G*O+TD?Vx0AL-d;*Fp_u{0~q!ju!exJnM-T8pa$-2Ni&@4*F&}wS}pJeu1Ft
z^Z!}`nO+B7h(2}0gpBz|4d&bP`OR54*tfEvPMr>ZgBtZqemz<n<`1(#&Ku_U(IUxr
zA~#H$Vag5jt0{Vw8>S+u;?q<crdoj-;T>(5eYdL(^E~>+8z%qi&4zjVp-OXNh(h>=
z8l~EFxr4$RrAZ`&myxjpM_SirJQi>O=wchaz&aIldd-XQSXqU`52RLF!4r`2vr6v|
zKGbR<YyMY&Fdc2K>vhBV*<3|-W~5L)RG6Mc;BvJf;yBem!fq=#xRSSOjq`m~+Xuqg
z)Al@wrmcFm**9B*DgQ?5hPQiDB1GjK<K5m=$O}9+1wsOk&(ulFg3!Jo7TSm+d3U2x
zoS>4*)dUsEyEEmtR30R3`bGx%gXpR!y2iQDD@awyTi~3_J90tNGEo<L?$&atRxhH2
z0L8=?XPPx+dPG9UNrWaNMoAR5kZD^y5|SPZNo_=S++OpZ|7!$mpZ}l)S?xH{3cK>o
z&5LH#u>@f{JYeYXz;jKe<JNa5UyIl_cFqbRL>bk^uYpZ6TmAL=kt?C(2dI4S4Gj^s
zhKBOwcN_E$>(-u!s}SUdLhW{nRhJ*EKD65U#6yh;au14>Fn7y4Hv~%^7d2{Ag(}_4
zn9T1xTxd)br_1}+BOm)l%Ihu?>U#)gCx@<w7T}zznaTX&LD{F+YjA@0-(<F$rFoBh
zHAwGD#>DI|ieI2Xy^2`p{9Bj8S!Rwg{k!-cJUP#cBejDn>ymefvppk|(&!AX(2yHX
zk#ZPyMR4PW9_>K}=~^8R4o%b=@K9nkH*hbfG&w_gU#U;AIr2I;B|$DuHKy?mwo*30
zntzM4=Kb|&nnmJo!ynR`J$~5q&)9vZ)6z(b)`^wT^;aF?-NC-7-dcp~N|n(g{QkKl
z%>8vVfPjKslBc%g%?#TLd)w6<J`y{J4eJu-aCPV$)@LWQ=G#^WjYBYC_Gvn~wP_$F
zx8m&_8Y_;+P8E=l|3DHF{0PCMC8S7cg@+`cYH+{j_pL{@36e(7)6?FB+~*Kfn^E+`
z+lZ<efhrn<qRP`|2ruW&z_pyo3Y`}Yac^n?d8?;phs45ItDbFIw_1&|fktr#q1^4$
zv!R11?fU0+dYYGbmHq=bd=6ybsbG$F$3i~YvyiD!!1p4TV+b27|H8jeqkgHPC;J!r
zrIEE}4c7yZe?jv)R4+~orOHXhpGtNAS!&Sj<kc@ktI$;ZKfwzYh@nMH>8)-2VS_(y
z4{aXeW~iQwW`*$ASo>~INrI!#e}*A5!aj^L(l0`kN$D5)Hh-GTPAN00U3NzhLGj?q
zlbt*@O3z3)6UJ-x3M#A@Cl%_6iKelYH)fE5kxwEkxExAayeN7nq!==LhbZ#5blxH7
zAh)|Tl%GQ|`~2r+!7IDbu0{)2{y6)QN<L2b&%`dV%&L-)tKCf*HSvvPG?X&lG&@AO
z(Ufc`+jH_SK~XG!4AT*(PUG~8ooM_k)`^x1yx&}@*xP?M{R|!haIlvDtEV70`XV-P
zj)Xu*uLX2X4ITe-p_^EtFxPQ%pDVYo-whMD?B#{MRjGO@{Bv;QU6$grg6ur#vjfyt
z)I?kq*4eUs{?cN7yfNrqdg*~f^efa&w^&R-sSxT<z1n!oeI*cTj~*?2oO7>-bi>xG
z7fk%IAf5EbP3maQi_(xr;VIq6K`g#mBO}~%cX(npz}CvmbpX4XL8SjC>c%~&(<~!=
zh)dMpK?vTH0KqFKUKI+#gHaF|-{C5U*%(pz3FAdv#2<*q{ufU)CRywFOBGh}D+ur>
zVgdHQhHi?soFW74F+2pkA4OB>8^&LGBCP>6lK3My*kiGSMffVkFwrtj5s`eAe<naO
zI9aNeW*AydxK!hXeg<LvZY->^h<U<A%wi!P6l&C;!2zF&9WVkpVyG<0N&c1`xnZlp
zwDf-+u+E($cVe+Wf?PTN?-Sk-!&k-@D%K!-<6bHeljs$__J$(zn{4tnvBcdpoJQOj
z$FV4lM4{tLWIu)@%p>6D?B@q%^~7hjgnMo`L;D+7nKkQQNTUc@Q^+<E12%6h7dzkv
zx0bwrEk+dub(T)gt_j)vX~}QEN0|C^&{v#h)>;g2&1kK3#J`n#UB-V+;iBvje=VA}
zmf!)E$2_96jMj2ILAsa8N~zL3@(_Q3t+aaNA^(&mV2RVwN*FuD9RBmE*R1FumU<Ln
zp$l+-Wd0_8O3+~`tkvIw?_{9<8T1p%O2Er_+Krrk6W+n?Yu0<LJ!yx3=sPWc{9CBM
zKL2Lft<v6ttm13~1k-}WX&8d`{s1cWh2D*|=~-A{6HOF6U4Jzj^uoou9p{bSmKmHk
z)*A(H3vS}yNuM>mJ5i&#ey}`R$X%Gb(7UaIYv5F=8Hw=aLCcnD&T=H*40?CNbfff2
z8w%^ZJb7p@kgqNnxCT9_97*KmM@A;td{pebGFe9Aqf&XAvMzBdRos1{)Jk-U$$nnh
z3Bd5~m1&l0BTcL>q+7)q_^hfiD8KWHO$L}se@!%-)0@_=J#^?$p~%1%YW4B8lVU23
zwYTlKaoeul+tvVJbgmjS&|(~e&mgsYZECGKQ(0RaMWUw0+L6iH$l8PJ3hU8M^}$2l
zRYe9c$~1NVOr;J~AqyC6Tnxuo?I(+esFXl)yj~^`c8%tHsE*pc)o~m`)W({S0A;{2
zilhkj%E%0b>l$RM*#T$v2S7KfXkV~px3^>W1>Ox?cJJ6dh(7MwvFGO7@7m+tv*pe^
zx9r-pW7}@;_B*{BZ{M|b$DSRx@4{c(y)C=$^={p<YwMs_#%w`T2qa{y!o8!qS3&Xb
z3X|U3T^5O~6aXsMkSeE!IN|E}OmV#Ijl;)Zr{n;XB5SJB5EUTd&<8-1m8lBqC2>v2
zwn-6bH_z#Rgx-Tq?I%Zv^PhO|%@SWvJouKQ#r<YSY(0H+&~VfRz!8Y|dmQoZH?W;*
z-R08sGD0b`S(@n0hLw_G2bAcYhE)or+&JQopbhCFb)k#UY}nno1dE3LV^LW@N}To8
zH0zE8okBtvJp^&m>;NYR!*R0rb<n4et|Z37XIYG8{|jlXM7m+oy{|s%6#B(psmLP#
z4U>_^=nXlvV72^iTDIb5QmEEB4npsMPA8oC6UF*ety(F;`44pk*O8!Ulq#$((t$tz
zKv+m2cl%5ene;tGb3mOy)8T#V2EFzBhYQ|4wfX^Qi%?BQYS0T2y3wo%tBrGXioYj|
zBjrgEsiF(L7IGI|l-oYE9!Ikqy!%R{P(JS)Lt?2H-PbH1Zq}z>q#=1ACtu4K0;mTb
z2>H^x%u~(PS2WC~>0-S&MW?nyY*3O_zKg49)0AhbmHTIqW0c}AIhKL7TQYJR<z_)O
zE<%TbGPTLu1A~#8i3gl}spgH8Rr*mVhtU0~wXk-`g5T0L!p%yZi_WkOy~>g9!8=?_
z6@k^RvRDw@fWh15!%ipB+a_(4KLzK>k!hpcdp`c2D+W4_8R$4>pyS#ZNWOL%sQpVY
zkb1Zf7)bBPbBe5=*VWd})v3khX<$qvF8znWno1J|r<32ygiqbIr9@^i+l~jR3O0hH
za56N!3&AAF1u;BTDb;KIqewqk4i1aU4&_mZ%&q0IBE+OjA`EFt4UMokGrW7V^jcA0
zU=AO2R%CElFBUMWMSUU-Z2ILT{ZXfbR7;vhW!?9LL0j#mzY<|uBJrhwTEyscp!(w6
zLFGS2eF;p#h5KI?rCWf7NoHW7KOI;e?+TVh%nqi@mVA(ir<`FS1>RD{RHi$o;Zt2f
zcy=U*YH8Gp{w8D|sTbjSX#9S_9_P}fjpVn)Mxxd$e33%w!3p;~MEIO@C-}!YnT=l|
zGBD#zYNU@5Fhl?Qi(L`pKiT#u??2P_%#uWJYEHm0G*O!z^$-iRZL&OtI1SEEGdl$J
z3578^ywiL|j;s<~Wfiyzg|7>W3qssT*CWRudTV;?3LY1HS6x>cIT92iAq>vcrizD2
z2Sh(miO3lSmsxus%%n~j(lQN+Vqxov<}T*p%Tr_74n_+4=ZRO2gWDc#wGQ2}gbEEt
zqPI3lp|Y*8v1!(q^IZ09w+%{^rNe>};xq^SE*5{A9(lI6IsnA;lvJcbpnmaDrMRYG
z>*&G}LX{*L)aS2Z4v9zn(^!n?{8IijeraCGp-fnn`P-+-yIPza@OHy}3@0qVfdN4a
z4&iQfSYN8Hfz$&0<H5B`|7e{^4b*}We`riI_uQYFds3~HDV`p9HFT}eTbtkUT_NKf
zHT0QV0{QOv$&~eZK66IdjUv%kkhEK2?|F2Ts17|OVIf1I>V=YZ5%;6$D*w``VZy%2
z!FBW;QW5sySi;g<hp?AggiV^EhP;)f6$t8%n@rFnSqU23rT-(bs#mAzRYrx<Zk}*N
z>VHM_dK!N^XHlVlhwf}5MRNpgep31P8)}rGd{|n=V%&5rN}i=1Oa5sHte${)-_8OL
zM^iq|2#JSVqM6{HV>B-pnWK2As-+irrf10u@PyqRp!;Xp(7j9_j|+fw_y!;l0T<R6
zLGaE>4W1qQAfhWmA{{ssV&bd(Z4-)Kxp|~zjU6jv5Yo`+p9Xjmly~NVlas$w5w(QO
zOgs?3*5$=?V>-x0DaN`#cSjXRzs1SQ3(KAis`F|iJ_-N{DUKBp_lYKuzm<s7=iiW;
zMp&`72X{3ZD>$LLcACoN)*@;v9jr8GhwA0=nMvHudm)aL)8%!MF|W80hJ)kgEW%mS
z70nRs3SlD$V_fwF5xcQ)()Y)L&w-dRDQnM@OcODCtmu63-uyC!UN}qSdN)rrJFz$#
zOU+A8Snh~!cub+$+?_u?oR<W?!e0haH={8S9*Y|n32U(DH>sOoth#?6p3PnKA%`7u
z0Aeeil}KDrXrcg#L$`+HBtt_JtsVXvWs|_*H!@*trYg#?sYsHVIQ3yu1qMIoozp_F
zt3EVs{MQi3aNJ7BQ-^x_zeFuWp4eCDX~(M-@@9m>lEz)s&4}1?_rHfh#qEQ4(l5Rn
z!N1(w2SUd6OMo#}$D;f?#5oO3)*6k}*+rxP7niCazAvY9DM%NJ?y48~SPrpa>c<d@
zWluKLZG?gvEmCC5y)#A_UZ91cf}FrFx8G5iFiU-@8CNWC^FXr=OT&*#vWN3bej;v3
ze?+%!y=p%0DIB28jfF<NR47+*+p1g`!QtYNSW&leDrqxo-eF9j{mCxMc$=^z?H7wL
z#P(t0-vf`K$IGvRNc;zlh%mVr5$653XcVXC*)i~s@we8!fX-v!zaI;0Yz+MO1QZr>
z(!{|3XY7Cx$Pq(DtD)`4N&c2%;0??AUm&=gUFc8otS7tB$?h6fDNH07yz~5-#8l|c
zW2f%jv}JVEBTn>0{ARv^+tt&k3|b|n8~H*;%hP2<vZBHfj?sC6z&nQE1DWs?>UTF?
zXy*4X+`}8sbLgM6-h5Ke7ofag3Y;$|g8fAsGkdSbNy+XS@~w!q@8xN0SI$Pb{iSJO
z)BuhIm0u5V<<yaKE<h6US_*=A(-bf<ibN1)1PFt8<lHPuHNm^Nj9}qG@v>f?p^Otb
zYTKanFM_TVCs7$2!%+m6b|oTv!^L5dYGMQ@s0{)gFY6VK%g7B2fhi_4EWrzMjB3wK
zF~IN$PFy(+uh;~0!R#~#%H?UWA{8_v&z+iS2?I)}9T@Hpk1Z6MvxQ?0a)`Ng&Vme{
zr#uVvRc6xhMKe=Y2(EUT#%qJ>6a|gs$q=1_nJ(e}<_9TY8Zj`9m<|}G+q#13)b=%C
z`fr83O@wx3a1kkFuCSMu8H49A)YTl$2wkUUh*rc0i8G1ig?d*opTwkBGQ@(_d65Ff
z7~c3FUBP%&$8t??g00T`2$^}b8lya0YiYtFHZg3wYQ4e|)Yws~6jp~DDWkMy;m8`B
z3ktQ1I6Wv4q&Cx?2qYvZPa+?|FzrFZIc3HUq7}BE3bGiKplo}?YTLkp`3z3X(Ra}k
zS8b>lRYpKOv84ZXodd-=4J_{2+<8}+AH~wV)nS>SbX+V@pw{$>gb*`4ujO|+9i)<x
zG%Cx;b0V>8hH1rolsJQ>ib`q@;a1CsyP5^1-ATm)W}&2R5;DWo>tY!ihpvmI+YT3T
z@uw`(X+a|~4>XAWmkB3*{@-Om4f~trs$3B@`r6^)VUhPT$7>I%ly0N7NBNV4UCT?c
zQQ)ToGUrzy3s>ueVZBAtPYpHm<aZ)LrZig{HpHi}+OXbEVf8rrf)SEB1=x?{$G$va
z?2YYXgFJ(o(4~=)u^s3|v$d_4)U38LK<tosNB@u&7zZlB7306ydequYX#+{X$c%u(
zCO}d^P6epE8N?&Skp`y%EK^#!Aqq6l%a4(AOD6sk4|vh%{a>@kIV)luB_JZ-Yqa|P
zck#;Tqkqzxdj78h2zUtP;y4BPIt%T=TCcUB6NoVeSL>Q?XAkb_st+^kf|&JSmRZ~K
zfTldaQ;y#wev=TTuoKIG{)^ghdU}ch4vGOzN%5(S3{*l?c?K;4JqyB2vY9O-;sw;*
zkvL=lb!CE(xWX0^ck(pS3#jq<u@iC>ZV2Qk6l2HI$mReFidLw!-3qP8_b5ZY1l<dH
zBk2wZv@QDrENp5nNWF>UoOpdxpy05U3<JYC94a*HWv*>KSvf%Zm_Cm%jtEx8<?RbZ
zG$J6Euk!Ns-9`>qdC9AwMuY33Htps4F3QMEWwN;jU=8mi4Y4p*Y32uncLDc@(Y^?`
zLusagY_+*S`^JE={Wo<!RkO>ry6FW(c);O-pw_p-#;FpEIfG{d2k*8obvlb*-O@@X
z2v`H0m@lFks9W<lW+JXn3h<Ib_Hv8C4BU+EN4moHCCvQE+^VHM${Uf>BDqD#OjFB+
zGa}@|-b*2=X}xHMgpW?-^CM%fIN9KfQlvD%rW?go{8AGhUwG+?-gbHTh&*(R%-pD`
zYfsV2&H4-<Od>8BDS|0G0U2}@wLHtNN@>M4ltU6?hQAUWO<{$TvDcWL8mZyVKO=~Y
zzY%0Oz^C|0{y#u8LS8^_jKEA~RPG?>^Khe(!^B`kN=NDl5?;eMiF;-6Q_E0J*`isS
zu1(g)kzxRZpo<~Y`vEp$bHj+K8N!stD&tlWwG#<vhHqNpZy@=P9OenG`<y|uV#KJU
zvX3|&rCReeI<NV^JhrLmTH&8Owx=UK0r9-?g5jR=t>U#8WE+90kaBI9wZJm;v97rH
z_=4%qFPz27s*AkTqVL=Y(PvrYGKeS4ME_TsNT2`REc3AyGB0ZMe={aJYg!GFiCtLd
zOsBlcXS{9@R@Y(sy|mu9QW}~3`gH@!I?IXpk3e6+ZwK;+2XZVa?fzKo%1#D7*~tL1
zB5VmiZYqc_bi6@?&3JeKfGh1in4IdzgisMI@Gr_$@pFy`!_&M(p2@;eDt*>dXcTvh
z@3?I*h~U1xOR(+pjUnvJ_^&KlDZH+9;D`i6@UN2Ep0A*|06i)Tht{BZ2TuT>1eWMJ
zr8lgSWDnE!irYu-E-M%jXUCMih_nkzTg$!WcqFL(MGujVwKWK2ouPYCa2QXGj26jj
zZf)eWK{LQ|lSX|_xvBGMrBVa5;KDg3av(J)%Cj`;YN1(_>mp!u)YuKT&oM#_y<2nM
zHR!thZmb~7H{xm<njA{{FI7(rV9bc8I~}FcG-!0zH2ye@+PrhjC%uDPRgmI%*G6-r
zeg9z?{MfMP6M77no?F`~pL#32EJ7Tl+X~kbpWxP27Iv|>!gW!j|2X4TNVNf6N4DMy
zd7~Wd*@k#enG?SSogQu5p^#hfqoACM<wG4M=X<q08M!NNCftf$@kg0<#h(k5ICAN_
zER3c$$ZOCj!v?t_z>^_Yk&~|hWvVr>H`AQtWuUvLQNN1a!u00kCUQ&K#kduBn+fiM
z_9qTj*EVNxe8qb>mybb0!#j)EL{Tql0(-Xz1#1lQ){XststD^@dJBSkIQb69aHsM!
ze6q{#Lu~aleopiwH{swVN_CDX7lis#i*DY$8mSR#--S63hcG57D3m63>A1%11CM^_
zMM`>WZ@KvH*A@WoG)5K#G+0qCo{~1GK7W$&9<O=GtGpHdH2x~@29>m#F4^Bj;RvL`
zlCubjAxG&V{M0nu)gzTj+_HhLIyoE4fx);}P}@AvIA<<=i^CYv6G_E|kMI<uxRBmD
zTzE;!Iclg|X<LAr?s&=6{4It*8VR)E0@RG{Qr-3(OVO*mhDZ`K<rTC$Q}imYps9lu
zbw(8rwY<8Z!fdqwkGi@LQ`F&cz$h**JVC$s;sXDQxVRvr{5!pWwuKHN#BJz~uPvl2
zC9bY*>G8U_xDdDmA))77KdAkL0M^YSA%+qRve1HciGhz_L_1|M*^l(n;RXK_(7|4V
zL0*r)$ndmo+j`ByxyYbq?p$R!HyVYECHqptBK}q&&xGyUPqD9xZ-Ur7^`1CvMg;Az
zM58!O&kowp@we8EhGm*1<SY!liMbmt?F8CO7y_rL!e+&2$8UCY->YKBh`l!<NBXv1
zzComol8RJV4yo<&<Nd%b;?O#+F*7|~t2c)lQ#eq$e+Jh98b=-?!T!&pwu1m8T13W@
z$LzBNb3TZ+*rE$V@e_%wMzN1cWL2Y3RTh*2D({~Jd3P#yzzE(ILuElu^0##1#E2Gu
z8NuaTIQbDIPfsqKoN8Y<k&=X5k#yNn0Kyj@o|2L;@ydy}WfWSP=t!Cx>XeWDGD2H}
zf|UHBrj~z%Fw*D0HlAP?BXQhn{BK}CUz(xoBMVVVGd^D}rxJ+txHBPQ6*ioRyQRnq
zpm+kc7U8gM57f;;WoBopagkn_qHiO~TB$w<N#5>|B<RXqI?OR^13DaWvH05z#9Q)v
zoKAvUvQv6MWwxY|*^Rk6Eh;oWwNf_;nPK#Dre#C58s0|J5rNmCWWK^U%~XizPR>kp
z+nfe^ekKyD6i2l&p;qaJK&{fhWMrq0qxwqx*a<<V8v{Y6Vr)o^4NjnE8l)MTchVZ<
zr_pV7F*W%Yqp=}>x}eW|FzWLqqF6K{yPC3CG(~*QAU#AL1y&8qi0aJ)g`pw&DXU0a
z1eHG$S6^2Th-gtxK5V&RAxMxFt5MiVv7)l2Xto|rgpw7E5<M*hE~O8JzSC6je@5u+
z^MC4KHGaj*=uo+?s08i*LHnfW(CYkRN+IB2>S1xZL3L^^65&Z|B2jBeCTeCxs(<oc
z#_>w}$2w(-#j!28C^CLI8po;Vq%O)>R6&c_b)jNWEeifvP%seX{9r`%v59gPGv*-Z
zLLj!e?Gxj_Z_G@oGX-f+u9k?~0REnjkm!OS$Y2(NsE}xhG72HjGfm<{q9=4n^n9QS
zLV0qI2Q+NGfmcJ2K1PsSCvdts3r=k&KM4rk#0ZUD7mCRR?z1pCQA{v-d@C7n{Uoo4
zcvxh>wc1sbGppNx>+wh&vZ9c1D`R8eRz`_YnqE;j96xqKu=mD5u(udH7TY!loD2df
zRN89z-gO*UiP#D(AyTn3hf{hYoRX8j#)VUg6O_<EO62x$G;`etQi}MCoDc>LgkNTl
zq~sgt2>i%35Eo9t7{avh4ptC3LeF507(3&WuAQNdmQn?x9%aly;^5|=7Ba1mAIp=G
zp^L9_R#?zNo7SO=^Ta7iO`28#jVZ@v(&$hNH`+G^j~cSF&H1o{mUzjlswuE^!>$(=
z=IA0iwIDh*LJ+mSWemjy8(=5g4A!y36posQYSRrBK0)f&VT6vgSr(WaGea=C@B>5_
z5l8X$OmP%PBg(Ri$vf=$!A$HZD{{V%*)f)L?G5kjC_el8F8F{qc{k#?pR$T@q`Oof
z;b_t&2t|5b;c*hLWv)iPRFHEo72wK1gYNzws?u#G+BakzB6cBETf~iV5xpqg(WtWr
zQGoR4c#LhTNW~Ekp-@b*sv-vE=EFu0B~Pca4sr_(xlE7~OUCR>D}%E%1ZcT$fTzE5
z=n<5fD}yLfGHr#m3@n3;<;@qJ4r8gNd|U(t`?&t%*rWmpZA}NWt$yOzoXu)8mk<s~
zE$%6<JWTIwefwAx_d1$Ss+hu!M6v3rMgI3_X$X=3tz%E*XG4IIIxH3bzf4j=iv53O
zsSqnbY_WfFfZuu_D7Wa|41On-HTwi=q)(j4w>K9hJI>-GYl<Y=DRzyRn6(s#-CpXM
z*|9>egk>KZv34H1W9c3mu|{ug_Z_s(mCh`TM0MYQ<Zk;U`PAp1!|=rNm5Tj2lRu4*
z<mw}hk8m$5F-Vnxp2|%*7&Mr8dVh<9k!VO$p?^Ei0cZ_HKfQI(e_Gf?3=KkGgAi^{
z$%MF(A&Z_KIbUTERvJP)r6OmD7&x9q#%(H*;T<T?;xaj1n-q68WMx4aY8Q;OE969>
zEX3pSnrdvy6~|G-d0bo_U*p|FdFe>W6H89HHtMy5$R&iFLguE5(A;u3xFnZ=NMk4N
zPD%DQDf22#XbPysO&3VzXy|KX7D@6%RWHtThXYW%J?}uF92SgC0OidCO-2^WO^5i=
zq)5eS)3KaJZyip%W$vhCHk{U6_6ojs;SQ?ECk-o#f!Xx=?{e#*fsAqf3I`3*I4Aa(
z2Du9ZXu86)n9+>kJWqsw$uKjrhCDR->8*1F^Eze6AX{*%^<vE{d)vghuN=15lSaV`
z`>BC|srP|7!o=m2eXLpJY?i54zk#LIS^GqcoEE?cOBjuoQ*5;GD+3SX=2LTon=q%7
zy8x0mmnlG#bg~!NTw=Ra5x%FT=v7AelB$<7!uMy%nyxP+e3eC|4n^XjmJz-xs!3~}
z9Ypv(>jf&p_eA=|5x)GZhY`Lr(?~52zk9aI5>UW!oPosTnIn9~cwI#J_SsQp5_<7Z
zBO;tv4JqtG4(FARf?IVzkZ$ju!EGZxocA2vb|D3dshK<Byh|j$gtO@pU9c?p+yui0
zpP$*%e+Th*xyC_;l;rEsC{Bjh5u$@Bzoj5ZLlFNmg3AelJRQ$^9|S4!PtjZy1StUF
zpuIB*CPY*u20>m0{mm2oc(v&cvTk?Yfu^p%kD%@I@0CC+!5Ca1PH-Lh4Ho2DVEo^$
z@o$d2_fFunR$lFtE5uE_O;(9|rPIe8B*TM4p>URzJBUg>q;!y{y6D|dY?dZ=)#_7J
zm`LWvqR>2*qg!XL=CtY5z3?^XvgYV!gDH@sJC`X(H`1&UTm?Bhm83hELp&)-w-=eD
zn{2f3B;8;CdB(U=-&#N4^MrJmaHK=fh>K17e81B)R<J08jmDEcFFM1uP`!v#I8oZ&
zB$#57JpX!EFtw-nwgC)#n+WYHXN9VxqLTs(*Pww7hKIYFh05?9lmcc5odVqXAaO3S
z-0+^RV0JQn>rJfXyhs6K40rr_S1<<CcW05BW;&hs5i;{w6NgU##%aPL5<P71Y`u-+
zTgVMZ4!X*CwMK=iIhdkc9LI(6^5Jp`b&8NQ4)4oVx(q&wyfWnJD<YjEC597wC#82&
zdn{#nsn1mDRG9Y0F=U;iwcebVX?UYGP5@IaqaTwF4hh?Gbj^1XR*f~N%nS*q&cX*&
z)7bwCA-&K4hb+uyQ;Xu84YhiIUh};yfU5JFf1yTNIfh6NIj=EFTI*@W8}LBi#l|c2
z;*f*|;xoKM(JJtRN=Lw+Vq!j|2?F1Vm{4Rcsv0G`;B9ID+)6zzRkKPJcVkeGotO^^
zR5>jnc(qE}psgn&(`lpJZ1Q8utx6wm-i}zda*o*=%Ykoe$eJs1ouCt}jcvSiC^jV2
z3#|<?dFHAA)-1%Ez|T^X#r8q(L95Wirk~(N^kEadwXJ9@x%VGybh381V-I$$d6x!3
zRqT{u&YElZQ2QTOIWG(zn2*lf7bI;eHO++u{IDh)<7;Nl+AstYNgG|C{|s|?{M4lT
zktA12_v5!y^eWwtN?<E1I~HVLx*yNft1islF>xX8&x-QFF$o540eMA&fm`VpyC3;i
zZ`_YJQiu~<%MgeiJ0P#hS{YG|80ms+y>{W;$2Y*T3ooW(<HfdHR5i<AiUZl$qKzD9
zrao5|Mew0sek=pZu`(duNm|rx7ch=Z0moGi_82{ZR0sTlcpSW)e*C2hm-rP#;EOd9
z!n~xhm--K*DK=i?m_3omt40!k1P6P0>|hc1(#0^*V#jvLHU&t=hiuNlNhis2Y5#X(
zVU0!1TV2GYy0riP*a0JuBZkU?oaArGUv1Wg-ypagfAu~*>xsYm^f0->m)^-^EkI$9
z=`Trag?g+l{e11#@-z~JQ*nSnve9<kzK3c-J;&RE#Qh>JghO5raSlD}y2k~{4b4(&
zrTH3Y{jx*jpeD4!hD5C+J|Gg%nekZmebebIUP+K~1q1<W%VB4(E_l(rLT3ncBYZ!>
zAj&8Itpq3T_=Ex+q>7*jsL9&F3FXf)q)-u#yHBYI{3}95kl=PxJel(l337C-BxF9N
zl;odSysLSnNT^=}UOMCXO8srUZhln+5%1Oz#fQZohz_8;)|`A<L7Su_yun`U5~UPF
zhfCiR#p&|qJOXX4sG7}p(@_SLvn?h(>+TJO-FNLogV}0nqF$@YLk<1u?%?yn?YoBV
z+_q&a)pSFw7#)I?>oN(`Xmb{0QbMMPb6Yhn>)cj83T|@ef)#CxGq^0{RgyDx+l5S1
zqm%slLZFw>c&tQ9R=lO9oDir=sERLwbX%`+AEpUK?7wT!C{Ezn%E<tKYr(lx@wuFV
z0d^6;QP9f2g5d7x1l(;5f}<QpXMDORc8pjZNRAZ9_;f;EEG^jF^fNf0a{O2wWP1`I
zMDJm-w7EEy<Y^;ZAPi8t!2-{Mlm6w{Nk{P93$qci6+1>O5#>k$BAyc|h84TUd=Z@e
z8{;ACfaC(;4oSW?<1W%h{8df|3L$OJgJ}3*EE*!1;C<Pc;FGaq#4>>#DZm8JR!k7F
z!K#@jeiy{V7vrJqfFT6%9Wunpu9nb7@#WSRYR-XY!TJ4b?EE4q{q1a&{&DOWv6Pl0
z1t^`ErSHW3aq5oW0nG#$9nvgk^td)^E#h~IPV%oHh5BP>6G5SK&<J+u7wznZ$et+0
ze_I~K%VNifrH~vc8-=cpAFl%n2{5uyDEV9RIvDlW&l4LvUWb$MtS4TFK&n8g)T<~t
z0SNmXPLoS3$>*>RL2|et+=SBsmqvuqQt)m^MrTg>O!t536i(HkmPMkW6=iRzxz{fe
zmHYgmSYn3+#rdZ)rg?(*$;NRSt!2V1e87YcAy+yt|3M5XO!!0ei@p5(E6Riy;C5re
zKaVOpj&^Llug~J*=b<8f`!XkTj3516Wg`oiIT~+>je~Y8b&(uQ7^w0u%^>VDdQB{M
z#M`DV-M00L`SmxHtK*ewS-2ZSbP=CW7vy}|&tPm)?7t|rCy*p$uyF^szcV&h`@1t+
zfoDNfzDuJcgSq$)G>ThXwn_5aDZeGbX=vlWmEdv&=WpOyPXy;l0ru2>S^)!#l!pkM
zG?B&E-N-c<P<4i{+6k%I;93uOz+@NUuS#xu6{=-UC7H@~RcaM7wCjE}nf=EI_CEjf
zati7MH0aO?5vdDpeJ~+Ds|jIw$Nv|HNg?E;s8T|47>bQqqJTm<>Sf@sVP1Wxs8yFG
zaffr1NUC<QT(9Fwq*viWma`s*LLr4K?SpGdL|qEEYBbB!aKEh?DK`(5%hjBqthgHm
zmmGgXK~>^8MR1{BXOpA2st0RS05cfXJ5ok`6@||r9;;GsG_A-kf|WYpG)}KS{y4-_
z<3D^51V*{MlertGMThOdPhWHRDR>C5M50%zkBb=FW?Yuz-*&o)Wl0sGO5?KY|3o64
z>9HmLP663Ys!giHGZyimrXPmv>8>Dq<HF@6GtbsShBA?gDKi)6eo4sfR6?(f!@>@i
zT(*xk2}t#(!=<khFNq+}Q0diBD;Tc(3N7?mI@;s#OBOdGt&Y&=1Cq<gvs@lgcO*Ly
zGKV%SeIPdIiTcRiXRM0e>#`1RF;MolAnOGVMLG~0mpNUe5*suwi;d@Ll$0CU@us)c
zR(Jh`U?MdqEk$F)Nxct1y(JUAWo50Ks8PSv<8CF#LVLmxYYTscrS4K1gdOshG40fQ
zxJuS;I!)6dsq|dkM5aZNvp$krx7>Tnho@0ln{<Q83iefQ2hAF^r$U;l4-ZM3@dsY0
z#Su(?5m2F(N8EzhEDPR0hEk)<4i5bcBt>X&=sv}~p{X$Ft$kDntzd<XKLeZd9DL-q
z4KBx%hAp(}9do($(DcpoKInjwYH7MK0RD5M32jD<{c7&#_Rt*7?fS0y(+HvN`wGER
zk|65y_cA}m6IX_Fk{n1G&bc*3uQHrdi9fZk$AYY4H6GGRU6^^9&e8MdfKfPlK1RRT
z(ZjzY96i!E(rLY@o7p)qG*+)o4V7xuvC4SI4xi1L9X|H3T{wT96R@uBPV-_)?LMGW
z+NQ1Sh>$mWHLwKwN07x9hCwEc_YM7>Zrgfz0r`e(lpSHG$b|6|EfzR*T||M$#yb>v
zd}d4i8ARdtH5xMbguaJHX?;T9P5CYPgbYpm?+{#$Pv|i`>xob3oJg+K{viPmyCwdH
zKuhBvy6Oh<+6wm&`v#B&m|Y8~;aO=;NR@qhda?owK#&$neW@vKs$gf_<aWS`chhyD
z$?Tso1bF-W)99ZpB?uPsx?n<_EN28&|9X{zVeg4>ncOgotJ0j5Y7j_<uSjIu;G0W=
z9K$Shq)gg(fu-DCuwU2n8O+(GRzWllxI{)&T(v{7A915j5th3UVPMcL1GJ^w<B;ZX
z3XO@X?~>N|r-|!KP-$Vjkwyx)5Hj|X%ZVIO!YrJu73sQOS$Lfk2Z`$MNa#8<2}qP1
z%bKga?F1&eAQ>B$nw92jFw+GNGX+)2^W)L0<hvIj!V?d^*&@Re558r;8*g)&GiXrU
zJ6=s?;1i^53qC5jAU#!iwapJ*&B9JWS-rGdpUONZFwp$WC<~{y^HZ#j$DWqw5Hko*
zi;)BKU>|4VL1iCPqkg%kCELf_q<nyBycOF4Z4D$R)U`;Pe#J(kR)Px}vO;btkajGR
zLa#e29Y7kj>QBv3!k$e%McbZTiB{qEEMD*e47X>U!62}%>1NV;D&2KMmXZTm5=+8T
z;+e)vC1ok`r?Fl7Us=ri_SO`=N=r#CgiMx_QfD-Sb`aJ6Fklpx(i`X(TT1+^H<r>h
z;)tZfj9crn7)LZx7xs|8RK^hV%B9<6Nten_6vK*Raq)*{Y+j=u0Ggwfxp>Rx4|Lns
z%NK^_BWCLyik}sME!H0FOJs}1heE5c%pdzP%pdt@5RZ>)Tx2kRK7~eU&7V*3w^ju8
zqE4>7eJd8s*!Zij3jhpW60f{{KX$N)fHE;mv_P}N1ln-Y`IWcD!*S~%7BMHFDfT6U
zm{eEZPLCZh0y$!+EXYazmh5G-lKqbp(HwjE-FVg$dwGSjmwDl;urmPyTW0T(EEF1c
zmN(W~>k@S&g*+$7R6>VX%AlI8jaN$W;~y-WXtR98=d3;l8t7&2Uqck@^RJF4Tu8mz
zg(VyruUE=R*cNZ=KlT7?Dr!KPx>H3&Gt{6va)^qI?8}!Am&((KOh5`5oRV<x0ZKv~
ztl_dDtWM<5s28WFm7b~NA8?GKVgg~S)}^_M)X}w>dI<p*$m21L%=;8rJk%)Frl|<k
zK*5tS5V*=%n?lTsv}bLA=u%T@a%L1Gat|s*dl=8*<v<QN$}2JoYZxIIqdJO1zZ{f%
z!I`ZS2?v%LEB*%AZ+6HYG*nZbEI;4rBwodn*A{7H)_V^fC7M|1IBFmyQUIwm9L`bR
zfmO~6Gac4|M!TZP`po=khHrJyI1vvg5gs)ED;zAh9vT36{)f7n|C!+{%#6{B`XX^A
zsiJ{i-WBxA4fKN+$brWpa7J&cDtzN60!ug*jHnGM7i{fd8zD@Gb+O-pVLr^14nXM!
z(+)-KZ;0Kfh=c=qn7Yrxht>r6PXPW-2RlKbwZa}waZ1jBU^-+*d7sl+D&a*Cu<%-8
z&&TxK3O-MSd6`Cq0(gmV{<%KBzvv3uRZ7$<L~Avm)%Gd`=F|+b1dZRpD2m6XEE1}C
z2`0ASFp34&F6-77QlqfHg+&RPja{U*!j4GE*+@|mv4hQuF5v-&Ixns(i+u6lVRnx@
zbO^Fw%6;>DPABomlKUo&%&gZh<02!bY)G5%VaRM!6Pm(r6!oCY{ykhW>ZAdSi}Q2*
zQ^>P#TF+X!JBoE&<fWKj#r*aoJr7>3%ZhOZjqBr<{>8=As9)Lu5&lL0Ned<g`!j9N
z3|sEqxahd!gwZU5bPz8iOCzvMpp&Y#6lSxwIfJNX9c&}NX%up#lL;oBt~FGl6WODx
zb3#$F2wU?JwnJ&)8i?P)C3mDOoGhcP$r=cHir?W1tW<df0X~zJQl*KwIgvz;Qq8f&
zfWsXwPB%e?Q7Kp5!f|bETEB6Vm)~~howwh)cH@9|S5<^5VZ~RV6~nhn%6CCw1pXn?
zdF90AtT1(5j)H2v()w3*SGYC?r3a?cE5Rx<g@uHKD}aQ1w%oaE$F7^!ZW!=xn5>l!
zc=yks+##}A;+T{i*fsE2(Hog8Ru91RtCp|vW(>Aw-~uOn6?V-`-GMxo^*W3k2*W#O
z(GX$UkbT9vsCh$1i9+FcnX_Y}<3_H@;bq{>+^yw0lBrA;8wY65D3VW*c(F!To=P>y
z;}V%16pSJJL7Uqs!81$}SgN#pHNCvp#F$p{j*HxZ26Cbt4qtph4`VgEFCGRR%7$S2
zV1*w8$waxt0p#O!P)L>=EeEvRSvd^wC{IkKK?jEX0&AebX%f{$V9oL2GFFyqi8Dw<
z$I(Q*2_Qfq#40-kys?Lh5UXkx(J5-VQb(k-=zgS(RaU_V_;|_zM4m~4VJE=Gw5?4Q
zt1}eo3aCjU?8X8e<v45!G_UzFM8opQCqN%BS3w*?zrdjY9Vzd)j~%!@F^<<XYd-TJ
z+q8ysrm!;`voI8=AR0;skoOTMA(aDVZ_oCfx9=ImKettyNRhf{d%?#VD>q9T%ev|%
z@2z4uVR*uV=IvIn4FJwrqKuZQyW*s;A|H$>RL)0r?jnXT`!S3Di&Bez``qPnY?q<u
zE*`q$eKhpkh2Gi@WFz-mf3ky^Yz{>Iu$bns=B^}RuNzRo?Tq4{w^q`rZ=Ngg4SD9U
zPtqqG)Vr#c#G29-6z>G}gzKD6QmIxnGPA@$YLZw;$k1r6W_f2<v%I_$wZWQjXYE7g
zo?6|cbi-<8LMeLqcvs!Dmgzl?!k`yVmnwr^NUNLyEX=gM0^C)HRvoeRA*Yj6Y)vCG
zTVJn~z)saAYl_|X6@ru0jBpYfAK+=lV?Y|1if7cpZ=$l_+L}^_(p(j$MF|mQ4B5Hs
zlmz+elptC}OWg$MeT&0t9r5csolfGZB`sVUnfdh$s5<SssWqR74?>_%%~`9^_>mNx
zCCiTe7JnKjF50?0gYK;OM}(so@#TMpFh>S7D1BLm4lV3tYKCclmWH$<AUmS?mz+*g
zQJh9*iih1YbHPeY%2P0>Pjk=lK*W%8ce_a=J$0;wNSg+=Y(%-T2%|<3S(r7hROs0l
z#5$+8Pr%}ku(v?klMW4ojBt7w29!2-YP-c}#$z@9Kb_9wX(L4fLBtI5>;zPs!CHx*
zCeC!JBAl9CxURWsB)D#}&1kXY3a!7k)RPeSQuF?)X#DTp@&5C~?1#wy98PI}D}=R)
zvvq_c_6Ppg@kVKDt+2;XShmc5Lr&(MD>}jS1~g*cS)FncX3$pZCO|ih)3x}#+36$|
zFX<VEiBA`-)GTy5=2T$Z#RCx|K0ln<4Wk(-m%<S<%$^vLwm|t}aKJPt&KOrpAL~=0
z&0u|Ia#%~DgT`PW-{I%rR+3V{Hk?l4`B82eG%_#yiwkLZ$(m`(28pv<BKcFvH5uBb
z1wD(jmv%L`$h;5nc+U;%<)VNyF=j#d9_b3co91dYYM@$k)@2C&Qp?6O(0Gg)ES?u*
zWaHM(oV`jw3U{w7rRJ_vk{4HY2BNi;I_&}I{iwru9Z8N)JDtQ+OG*wJnI*?!iDbik
z>PZNEsd?vYH2$;hc;|O|?&Mc&)}5Q**t4x;1!Us;V$acQEs=Q`3=H?L&O+#DHT}@(
zB-Lu7k$E*;-8nCr1=vL=Ay`PgX3s_AZ)aVz(Y^cSi*PD6hX147i$6k?fewASl^jsY
zUzw0B02jUb{QmS--nsl~z*z+ygl<t7ALSu&x{140NO`G(66{00`uGfGXloR_oj6{W
zcdt}X1J33r>6ChW0_nSOREhsml&uxxI;i7w5P93E;dW<n1Q#@g!RQ<dT6Y1kDnr$$
zfl|=uie|}Fhk_TQJ7(6<LqU3LTX+DfI?q@#D`CDz2CKRAk7jTYFo=7LjL&GI5c^9V
zDFt)xee_w!9j7!`3c9h7-+s_MxBMxhbrASaJ46BCwP`wFM<h<$xE%g~;O}xB=lB$&
z!zJ&~W|MbAtu|RkUOgF!A!7>=nIa=JM&x^haqw|}b$kKEr);G7l%yaXTvLGcE#mJe
z)Q$uI6)u-y0#u!nvB$T$aiakt><cLdXXBM~7K1~PGlt^qE#_z%zU2-a>3bZ6CL}VE
zSMZy~0~FMs<G>qrz=(SQi17-<Ga<AC*u^;>Dt}U781+bPawa&00yD%}Iprp%4-gK6
zuoQ%Xi1?N~(mD#jMk|zHVXB<tcper1!a<^@zal=VgR!S;U{5Ro8V-;Z$^}Z|Q=x+z
z(}Os%5aVzZ3VltjWGqQ|W+`KY%199NKnp&$ns+;rI9kG_68pEan4&$#d*Z>@Ss}+f
z7`+XMeY0Es^D!ZTL^)1if7ozjdKttvCaJ~0cT7yyQmu~>fU&cd|1W#r0w;G>-A@7}
zWD)`i5FX3IfI=p)S@J-HKmy?<fe?^HKx4W)yE~hiUv_7fnb{<Z;#&~>si^A%QGB#M
zD)=Z?Tia@FtySCpeYCcJkcxkmR;_Q_YONOk-*fKscjxz<*-0i=KIHCie!t(nzjMzy
z_uO;NJ@;IP#e(WNHvdS;sq>B<rS6#SGOt#hhN1@sO}*0KrLVKrbADU=p@*j5Uj2~%
zCutTcQ2e^nQCW@8q==9U?Ad9U<SsT+CC^Wq|CiYH4c`6WeE@WiLxdnT7l=<Q$6MI;
z<<~n6q@p5ym8tmDRJ}4(OZR?Azfx1_DX4rGgBRZu8LpuS8WXM&Fk)^Uz?#x9%`ldL
zi<xqn0N8}*PP(EA9sAY(v^y;3-Qk#tSG+QeghmH`>diTB!&}e&E&ke2T>>ka3k37%
zQBB-vWCY9RPqZ_tKdwggN+X-2Sev)`nveQtC09Wjnpq4^`iiaM1SM9=?JQq%8i^n4
za_-UnJJubIR!3T&CBmG79^dK+-Ye!nPFP)>ljah!l5)ZAXB}atFGlQHJ&t`Xu_p_q
z096C-NFEfXc^+|##)52}jU%TIif}ev@DCCIA-GRH(?1oJKML-N%l~0HeI8DDHO^5=
zpHiAa8b|5Ygl}13313ufr-j$H&pR=N`}GIp;O+Bh8(IRODyh-o{Hm9@cW&WLrRH?K
zsyEK*-&(s97Hp<*Aa~7erAi6A<}AnYnVZ#S8TcK7``*;9A~jaiysA6kr+FLL9nR86
z_MGoRjU+ymq$6BpB3(T1$b3|4=cLke<139qNkczX?hs9yHu6#3gYJlYRIj8f&PT;p
z-N{FFC45WRGE*Aj)7rA7rNXv8q$6+6teW*N%9NPO{$vLks!q_kT!Ia9EZcoctys22
z3RGxRw5GDcx9(_m=JEJ@z`Ct&MbAqzFOc_Ud<n#Vhpy<q?Lhd3JHR-nt9r584eTEs
z-~ojp=WY;7AJLr+OFk8!#LFPcdzhMWQvckKdtFKW6TvQ+Tgr6Yy?}*t)x1si4ql5f
zjBJG{@CUJ$C0LOI2%A~yENj|B9B>^oOY&B~Kn|d=*V#4@G*A^Zw!JS9EI1ZPf~4e8
zG+R=CaGpo+Ga;k;^BUC_THmO0C6#WQu3(Qa)-=hHF3##1WPA@z)v%j-W-!3I!-LqN
zjNR9boV&FXz9c%VMCR1RFQQcgPI2t44YVs_6g5rxq$8O;SFVFXc&rGA&r%Pg-T);Z
zb0`_K=gv&-q#B@kjvtRfhk=JB+Y`=*V_8V~9|>CaTwTx}ZVe26yDcQ*>}VTj+6}wd
zLXUxhG4b<`Fww_>a}g|}2d*FcT1cN_H4M%h`&9y4p3ozE0Mh6ck6V{OR&l4XN;TcA
zQ9fq!q#_ako1cl}D|*#QE=$SLBl?0ITII@U8C#_>R2m$RJuNo)qdn{wrXhn(?!3Xa
zM(bPHLQVGqjnH`7SHdx3Sd_&u!~bJ+eu-S=qV&^(ZS$iONB~PsNa76*5v)T)7=Vo$
z<(fuC3Q)*#Rs`M!j&)n^2HKz=p*GgG)UkB5fQ4E}@wKli7SYUjefZGBis4xQP=p@*
zeQXKb8o6cZSeNWdsx1}6R<VP@1CQL3okmm1FoJ|-*tK)WTV|loWvd~0ODz{Dvrp)B
z`bEk9wQ*Q`bb=5iYtN5jG-1sjLlEg*C|ttUKxkl=E4wLPKqqQIN_kWt4$inV!pD*5
zy}9-RO1m(ku4#q4ifE)d5+NcV-biJl(wrI0??5(qDMNUb97!3lR&GudgH%y1*sTGY
z#`I{JhP_IuNUNS(=dxpl)8@EckY%02w!u077zd|nD8y>u7duU+8VLjkj|4vAF$~jP
zrJETu2j}}Clt?|gmIOvuNIIoC^9VgB6J@1G=oYG^jTjI){v5MYFc3|ci!h&s79h8W
zAs?51#j;PN`7&q?me{7S6+BCC*!NRrCXMH3>HDExr}X{oNYSb~waHNrV|hfK+N5ko
zO@t`l&r!-3F<Y{8VtHrJhr8zufKqsW-bh#M{o$+bcz>=?!km`G+CH-B!ggE{ya-ob
zu&p^;B#U)5hSv$t3~CJJn4`K^y1pOofmque;P|JF+n{*1p4qg-?y{1!!JAr4vC8ow
z5W?1Df{YpO>UdDs^<Q@&d_sFDGt^+CJ~|k6ig&R0><BW4G%ahvA0ue4GM4|f#zvUa
zC?Wy%U!qc+C)m!;{Yie;%2>XLxPlo$cEqI2K0+{{@CJ$>LApQQ4zyoo2)r*IVZ28E
zyp4*@a25Q<_hY{in*&^a=?VKwM-a=akBJ|_@BMfD_kN7VindVlkCQQhLygH|y~!ER
z8nbuPa?H2zF2<|?BU(bXk|+6H$`5Wvj`s-y+Hn%T2lu+-Bs@M$uIQt*1SssddY?pP
zqL1+OE5!6lMzpe@iTC7^jGk{3-_xY@&Kzgl=jo4SVFe|VO-JPu>`fuW`0SUR0Y1B*
zs`6=BFy~1XYaLbUm+UxKsVe=a3YkkG^E)_I8<|n+2-v{toU;Q%B|MM|8tSL!5}v$n
zOx;mC7`G3#LKCxX#RIk<LW6PXsm+hD&`yczlZG_*Eyx15-Dn9S_`J{C!f?ip2er51
zYJN2kvj)u3w4fbp{+T>pGgByWin-lESTw+?sI!;50<4Ephn{wWI&Qnk)M+rB(VeB~
zMeaNi)QN3Ut@dA$qE%@&&`3^cHk`+=&Y5lZFq*T85RU{Ycs@jx5(JOMt=EwjKvD#`
zR)s_<w2G9095&Em+W{Or%BL%(kF|~^cLI3(S{A{)=Ucb@Ytwx(^#=>yOYG*)O4Yp5
zds4owrH}U|LT{h<g-oP*F#rTj2C33%*HNzJzriIYuh&_Sw+ND_rbYoqak`gHKfWRQ
z@%1eI;B^JriACtdKXWJIx$?Etb=BYaq4~TPEPXb`2lk2&d^%%C`n*r2Xk3Z_8dI4>
zKzv7~=RhejYLzy=l8hQrnxr1$QJ#YZVk1(R-ypwR`3=sXEA|`kRd@Ub*C{hn$PSTf
zt8M?mW$pM6>@Rl^L$b=%_w9BIteeS9V$y;%VH3xPAwfx@@P~S^vU0Woq>7#l;ynu&
z=(_$}ddst5Be3Nd=*1RB1*+~-(G`B{Gh?l{K3frdKZx09YV2h2G+d8LX*~^FQoc*3
ztRa<m4Z-D@vTJd#E2iwJajdOPS^*N9VCxAw*prDS?MiLZ()zC;xI91D4ujFAZR+<m
z6}|lgOP{w_f}{j$?99YrFTFh)7|#ujXG?4QGhQ#3TTOXwjMw3Lg?)l@o~u)7DG~<D
zWSqqv+h9mt!^td^5M8X6PfZ~Q`50coQV#Zia<g>`q{04B@h%aKn-n`$Cy=ikD|aQ1
zkm0=KBFme68({=kd80Z!b|sy4N`E^1OcVN(NuA)O1U?14C%a+z?=HcAFVD(<-pi<l
z2+}ZgJ^(I_`?5f)TpDkrO8rtSMYuF99{sK*y~$y*y<9}(n>a(GU>&7_EcZBUU=`UQ
zI0Z_$0QlX39Bwt5_32TBMsv)ZIAnn9HuC2=uY=>{S!%gL8qGOp0fYb+_}j!GZKXV0
z5VW>AUN2z{3kT0s>Fj~V09YM)_i;`+1Q);0unUHE94;B>pbw@dh;7{8hFYPnm-pjA
zwCjbQ+NuQ1ho@M`$VX7exTDj(4vFl3DY%q<ES&{r5nM-OEe+l`A7)MHGY<H%VqS%&
zxsagGXCyM1`EZ(-yVc)E=BU57AH)%&Wu<>Gp$MT+tkK0Q%<tu~6whSRP9zDL(oTFm
zzdC2GqQlC;Asr8{bQS#%F;;qkeg!s$1jei8rxrmS@t!&~1cPt>W-B`b{{nHAIlY(@
zadC>%Xgq4<ZblapKzvGccP%*)_g1%hxO$FyXq_u)$7}>{hx8$N2rUJGamEt)aODsp
zp3F3aV!!T5SBp}vlw}ZKNxE9r)9~OGvoKSv{1im@`}3z}X8jmfOA$R6AsQoe#jX~<
z>W-`B2G`3_*<CG?_SCk!<;qUnE$ZtXxLnpo*`=y&<#tiOTZ1@Gib9HVzeK;Fr!7`I
zo)<gL;$1NNbY1^}-gLnz1h%+gj**JId4U$Zj4LMmxpBvYKVRXu+z(>=bsA$C+%m65
zr8r4rM;P3b@?CPv81i{{6I_m4rjC1Eam(bB*k8M51X%1cXcB~JTr*cm*9;r%(laAh
zff|b1fxSw3iphuhBVzfPFU*FeIciOFf%kFhN1yjcvO7w6$4=nv*6IBb#&r5aO($bE
z-}(ZqXJB6v9q3k+i~PbitMTEHNX)42(rJ3)CZe%%x+09z{79`?7EYHO?ZObd&FECV
zI&JU(-N>v}OMTMcBi%^YP*K|_Q;NZxQ&R^qsu1kfwnVlt+O<&`AEzX6$PP#62pabf
z*BQ)RO&_h!NIw$0pvG#YMs+13d)1Z<)S~F{>FOxKIlz0V#_2rKeYN@?;d>efh~Pk+
zrU>Y;?Zkwa+iqm+38Ai&S1gBJBM2);({OrO-bc|D_EoW)OL?mVxYBpO;?{Hi7m)(K
zwhoD5l;B$n|BDdUDGyWDmcMo+T+r@Wp(FkSY_7DIG>b=HbUqL(LY2#epkgP|WgU+w
zEz|wZ+X}%~tUAxD)}J8+2uG`tx(C3~`om0!mv;I0s8YXFG?E>y&vW!McD7=N+XRjT
z<uHxyJX2tcO$px1v7k%Uypa=g362aMD>X*zl@Zz`hg^{mrWF_gN=DKIqSpjMU7sy_
zoeVl_xv#l`wd=zxLTgE$=4}_~!@yOj3-s4`5bXk`r;ZD>y!}AoO!wPAaNoqJar>M!
zYWloiF%IK}g|yp=XH(kk-{Dv1%=L9%YQ7;igB)T5R4M%syS)wGkh&RG4RY3iD%bXz
z;gjE2o1Va4*?O_sAQg?D=*2P~)?$Pu232(iU?=d29CS_))+L?bOHFK@HKGTZcRkU%
z&$})YpU99cId2?``p-c9q>!ykI>DswcSntwe*cc>_j9xK+ny|`)6eEk$4dYi;wA7C
zD^xrg;$>m=$`l`vAzqhd>`0%tF-7B2evv?!WBIk<reXy<P!(C#PfZ}6^<JB$Q%ZWh
znkuE2UYmCy=g3v{I%aOH!)}quqKAx$ug%9I!UC$RjZPqCn4IRzpI6~G03AM{;Mw1c
z^jB1mtvkU^|9+-UAGVOk?|Ya+(X8k%s+Y#ckjS7?ofUrB#kf)0kCWj?E6v%v{e}2R
z*;i)0<>wxD7{A^`X6{mR)_V|b$7&Vj&tWjUiy^>LKxoJ`J#|!y^V`C;#+Bb*eF>=z
zOYErRRj#)uVApcd6Zd5rDzRTzE_$VwEA=nFl6284PnRAHt<jL)CjoApi=Lhf7yb9?
zie2=4)g2c-c2Q1On?qAY_%<4CyX7<PqBLLZz!ks3_##bvg;sw%_D7oMN)`lfY8Gc1
zc%&B`Il(a=?^mCv>-Ns3NxS#XrpfsdU**&9KyIir;77+YlD+v#IjG6$Z2IOMN8NOs
z&c6b?cE#yzZELf-0tvvWuLLOUz<d%Aq;fQ0cm=TptGCTs6X_$6?O}v=6O79<G(-lO
zT7zs(vMvKzlpt~2Z$Pt}cP`<u&s(KACUjllEYM>m{;k@@u60U|)iWF6ENZ}+F%O+N
zTXv@1jc_{8q_olXZ;dt{p_{VcOlc_>Q>A{%y2);gWt&BM5k!N*pN*~xtpmgld7{A!
zdkDPTkOg3#0Jow>+{%$P0aC|OPJkEktI4*mQVt~<)KA?_rov>FPAMvQR4F|be&^=m
z#I#WsIbu`=fL7RJKZAoxIG!|@$A4IU6`7zo-3p&?BF8SBpF<vgdLKugR1jyX4hxA_
zBy$D?HG9~%f;f43CY(rB@+C}_;51_k;Z9V^yU@0+N<Ni-FNX^2J#-`3211ln$rmsL
zQK}?8wbeJgx5K3bJM1&jLf0_V(75z(blaDd>wwatmv%p5bvhn}&ttqqQ^p#F#Mqfe
zVeHqH8ma_pCN)&egL<5WsG)BGxN&MIJr`=|=je*nP`>Jp8hVLX11n?*@1O-imBMvx
zhI%6DV5H*dzu`c{L$m=et8Ot_MUGbbFr$)1Rl#dFlk7J^bbF{o4*{tms!Xzv>x#XN
zNV65{NP{mDfZ~^yL_E{|M0YAoM~k-z3_`pgQ!|d%{0Q!KMQe80L8;3E23FP{lf6pZ
zGIRP4sK8=?+FN8=wBp3~G*-POdw_~QFGqi}WP$L$$~a{B7s|?5Rx#V%AL3mcSh`P6
zzq+?ruM|fnWcujN@~^6xF2)j;{9!cYS}}%gFycj(Dwp&tN(L8|a#bTN@(m#IBnOGX
z<=UsnWQ7ck$~^0IUFkJva89~lR@UIFW>uXB#u?71qs0Wxlror=;N_*Tc9W_athC!g
zBGyijSPRls;psSmr@%u8Gv{}NnRB8zi1#1`dB|X+5LK&{?^?MgRvlqKyc~Lm19@iX
z#a2`K#gwFhLJ}eat<crj{9-o)r9vgSg|1j7;j0LhM9K;%Kjp!or#RBx;V(qgP`v^#
zIgQJm{uTD9X*<DuChwU2#b_nvtv#uvNbw>=He+-Z?a~SMmZV|ZD$8xDN1UUwOzMjM
zp@3GSxh!eH9;TAuO)VT)T)#;7G`k*Su;jgvnsM})-MH5kJtmx0lsY3oVRgWhol8__
z28=o*60sxibE7s|K~M?B=^<i~WB+)UsdoBgtEAEH-A_>UdG|@+lpPm4QL?nHPz~W#
zd!z1|rRZF&6dm6AC$<{$M!-C6V-v~rIFtO4PJ%mlBj=qTR_kXg{F5UaG1FPxOX%5q
zot_1?k24a1QFH3)2~Zn=n3X^5d^Q%LO7kFCS@W1@Z7A^uPh=9g9f_UUY!cCgXh;-W
zO-+c3S1}=m45qXb;+N4KF(LjvUGap-S5Xt9;Hgd~#7$!})#4=bBDZU)ug_%pijPH4
zgKz4&X;49&WUU{gt#wtSqsj04sfU9z`F%%M^m`ncX5L#UnNW!i{acG&77@SHUCTb(
z8MJu+P0cv7-8XTsE3;h-Td0XnK*1B;zsP=tPIT4`arrIQsp%qT0tLsb0bD9#X=8P*
zIx(~AVm|I0u5()JLiB~$<zB1n*>5hI(!}vrOt8Q`p8jMq{-0n{FcOx@%1LV^a%EoO
z3<5WVo@oW{x%j9MxC3;>0++9%1g-$M6M=gbRw{}UmD@{0oOz<{75WWX<Zker(c*XZ
zK#1SuyudEFNwW7OC3}MvLt+P(2H#Ku$Gxpto8`{cv3woxExcUU^?Mn)Chc;j2m;eP
zZwGbMk*b&AURR{54i$08sf4QlhULnok^rH?)jmG!!mH)L6z4Iqd~MKi5eQ8$;;@Q(
zetHUHjv@$z>}`o5XuAQ;Zr%hz+vj-_==9dbCaNK<i`}}%*4*)7HVoAECr(F#Bs-1i
z5kC3`b`mCwqU@O3-b875=o}n8Wd!6j0@Rxd1^F#a)nsjNsa~&)jp1|-?4nZiq3v0@
z;@DV)HeVq=LtxNGZc%!l1(r<~pF<CDL(SU-HTSnmO)^A6sktjiP0rBd5KB4pg$XI}
z&8HWQlt3D!Uuq&F(^!r-)PbC};uy$0SsN=&XeFV`Uom)kg}~FD?c#|Jn=yDwWw0r+
z0R16Ea#{LA%;x*I0bZd!JU~~hJ@8eO_8<mnC)&d`M6V%ebmNuXSycyd$d%ZQiBmG4
zo=Jf)pN-TWgi;=NPC}oar%iJO(HR-$7jzabVUXqiQ8iZwZ)zsunfi}XbC6>-eMDFE
zU)v)(kU^1jzZ!dKvBd=nErEMMto*g^Tz0$3AjbO)HN&cy(H0g6>Iopsmi@qOvr|8C
zdxful2BH1uSZE^-W_SdZ;w%SA?(&-<DZY~OT?&y5>%NgM-UrcCR}`G%LPm<(ir<?Y
z%F5P<CG8TGt^5`B5)>;OLm*WFo`)(pMo%!5o`aHK)ZF78G0Do)eEO5c4DDfr{#ql{
z(&hevXMZUc;Q=5czg~jgg)Qq?&mYE?135(u58wdBDOwY!2O@!86Mk_O2Fr(z3f+JS
zAl(I+TykR--Y8$J<DfKXceJ0LaylZnV|5J8iAo?=wS@Qf;ykrnK|DgX$C>=LQj_-8
zuNpv|x>iN(H-;O4QtFSxI&g1=e_DL!jMq5vO$^^<4l4wG*-LCpDLI-m*fZba$>kKM
zu~Z&vf`C2LZ|Pl9n11@b3}qrcj}GvZBIsg^(M(U7qN_Wi=zMUk7Ct`x3W3l}7Nk?!
zL7-%-BKq4qmVgjj$IWOz09(hmX6n4$*Sdu&^-EPCIp+FuA<b!9*yj9=GtDwGgc!ks
z=!Tgoc`7U<k4gjrNoB^Mm<XKYmr8L^(acf_(Zpcl7E|}n4yXMU1a2Ul){`;4yU-jD
z<j~Do^wgenux@){+dbC(=%5X-q6<?JEB1NM;XcO8HMyUW7$IeJ?A82ga*Vp(8xX%&
z;8hN)<H41Ddk<Ag&$r7q%Lz{9eAW6$$P+`ZkcXhd16cruNa*wKXN<*nOwxfmmWd9r
zT%e+ql^|07r}#?JC9jk}jb|9T!HUWG>^_I?2$TBrbj2n$UqzVI(&lV89OxM&Xeb1I
ztWBF*Tho_hv8LUxc3@JUq6`JM%@F7JvF<x+ifnzLd74G(H$e+qx&=8i-U0r&uIs<C
zH!SN`EI3AOCKtHrpZ8<xs^bEG6!*GfA?h`cmhLDgxB!Rkvd1J5678~eH<ggi5sAKv
z);z6ZXv`t4oH|0}0n?K4{1jC=+A&aBGn#i)71-<Z7SNwe)?4qg732PJ*&!$oCaU=X
z+sdhHoJ)0yR3un+NGe8Y!&Nf;k(u1EkX4rZN4d|2$=g24Ms=Rjn6YcUkuQ`6cMs-o
zmVwc9>fcyyYpu3tdMb}|uqR5$i(W02$n^`OjjTVm>!i{JCFX+m;I#DOc3S`|oZzrR
z(0c2OL531+Cr9GTK*$pAH0M)63FoNoD*A}vW0mmwxkbJn6aE}G9D>u}1nqQ`?UUmP
zHNrj#W93^<M>4j{XJ`vvaeAW35zEqvgFKECGjuI-2NHW(V_z`1=DFNH92&v9!C2hD
z=`fz3sZFm$X8wJ3EE{3j4auUWv1~CZbu%$Qq#sEvB~_|OOPHUoPB*5p$h5CGGeB)X
zP;nj{xim%j`rtK@{u2zF$s&>=Hs}lhe!xxT@J4Y0jgO%R{0)Q>(vkDm(W$oiVzXJA
zoPxUw)oJa7Hzw|-t&Lc}f|0`uDLHxqz?F!+^^C5f3c~d_0$G~<y^DzT`n;!S8JsrH
z(z=l0*$|t0&Ww`lvVf?z&R#>65JAssL$Wb_$!4CD)qqkyJbOsB#=Qn4Is|%WjcC$z
z*beCO+$<PltLWLN5$EHF-lMX76J}lG!;x*?BMX?hu1e9W%<`>RDU(&CR4+~FHmssM
z0i&>r?xHKUiukHKR?!utQZic&6`NUC8MQ@}X_JKg#SW|?ozB>9uTaIRHu^JG+8>fk
z#C}t$4NC$yHPf@E@D5NQT0f1qh2E;`_Dar&Ku6uhy_`Xuz>HboYk6cA`C1;W@a<bc
zZ2pnPNZ8V3#A4q^P$^Cj*o%E1O8G7=_8IbcA0)UOQ|?W;*A-Jv?}!LcLz!^`6gDO9
zBdA~-C7N*;!4|`=r@evf!y@x`fsR7L@j_CGf{jtk@2>2HW<%6gs*2x13!1{-;{-3x
z@swaIxf!cm)BN3|ql0PisG&jkj|Trq7R)KN;)hhJU$StrTJc6R$~k>ol@Fc5VQwTa
ziB(8Nr*}lG(7tkoPGGBH#Zj;rKZibyjIPto(qQf?vN%nf8`p5EY-lZY1RX&)Mn1|K
z)ya)l>J8+Cu1-xi`F-^*+XM}!fV1U@bQ0UQG~=<LUQiQ*C7J7N|Ns95@<RRp^U++i
z|DT@PvjQ}&tGCPvCXJywXDwn#y6^@~>!rgs{q(U}OYFM_F2;7hgMipEt_)}w3UWBK
z$t{}pZMP7Dl_cXBId8!(aZ{0{lhUwEsgr(>U!61K<f=@xkt-&bQ>FA$<Wd~o6nVb4
zI2cj|4bbV3lW-MOrVvNK!@nWd|3Uwb+cAvLaZ})ko3o&ft(5Jkk&+__#dFLNDzTGV
z8I>tQHBxx2HnVg}%__H1rS$wzxCt4yaI&GD7F5O(BhvUP+N#1%66I=)P5rsVZcHob
zft$e|`Vl>R!(oTP1%v;v6yLfWua<i6X1YX6uujr9y&7%D&NrOC>E#RohC}FLGd*=C
zo0H%z3rDX;j350D7~O3%S@gXm0ZW$XBi_lx=&@f{i<C+eQxklACAmncRA|l0t>(D*
zPJkPiN{OBebNq{R#pXC)b;lgP#+U_@#m1gaZ1Rm+S1E-TKz_CZ!~86JnKIC5taZMu
zrR!?+hdj}o&O+`xAdNjpg2Or9PJcqzJurJHlXpag;K5n6v=w2N{&R1v|5~FZgR%Zg
zREnDqZDalCDc>by-O$MU8NuZk>tDyct{CelM{=@?&z117wfGGJEse##Da>N0aVOQP
zlxBOU&FC@YojnD}`@E;ppG?cK2V~cAdn1NPa)#^?oG9Hl;4jL8KBa11K$ZFx8)5W#
zKZLK^$#`SdlHY91vV&p3la|Lm01*;Q%XmT)k*Zw>Cj7S4*t1ot(@`tbgufOKqD^>u
zYIAz8oA55Y9h>ka2LZtu(_KE1xxZW}fVB(bP52mo(bA`bHXyTHm|_(}Hrk%SoDtt)
z8E{8~Go>!Oo?o3aGyYYX=%WH3sZx4ba^+^MhU-ZO2i@266BT&r$PLKmeItV{KR1mT
zrkI=dz#tD~!6Y-t{Y=VK3~~>@8q0HP?NKmD{Ht>9QO#PJj2)$YXa;CCb`nn*{v5g^
zBQohqL}b!ccZ{7aM$>JSi&Ldetes8mSv%^x9hf_3w<?LM)mVFHd28>L!4vjK4-K|>
zz6q+>6IhU2<1L=YbzT3>y%VJ=3`K>xmV<*2fXVX<jh752&wrv)T9fA|Dc>cN#}LW;
zF~Q}SJdfgDS4^HjjIl!#wMr=fVg>s#f-Q~Bb77dx!_-b`?X=&39ywnAHbC3woko8$
z**U#DPM8jTvP%cV&{>}af6CBVLzNH!#mt<%Qu&)}=v<Q;d$yr-GHQhyI#=RBw4p;!
zZC3AfL&t@;V?$@iK|pY#j4*UuD0;!rabb$pBw3H$%$yP5VQJ{l;7n=gtmaqe%+R?j
z6Mdwi^D?TGUY2axEVeJ?o6}f^3>Z2*1Bv@tterV*QO{2P95#wc?#)>c%lz^Nrfe#H
zAp*=Xzoc5t{8*MwshQ^^R4F~T9Ng8+FJ$VW+^_n#Opa*Eb+U;0CA1wo5%D7CXBh&>
z$<Reidg{zV(F>GjKt#U-{&w3;mWO|pfF)}YlUODbf5(1ZEn+GqEt6fZG;Gbmt#-Zl
zEr1)hh)K_dUB9f3E4J(TsylZ5m1Nn<^W{4TD!wSINv}WIfi-`IZO!WjV-5ME1Km|N
zymMD`HJk6}fDHD42oBwN^ZjgH*MEKQnC}`@2g7pTtWlD|a^HwbX)X7QQoc);yP=PF
zA;INX?q}d$S1k7vLOEA2R0>$wSbPeBmBwh_5H#8ajk7IMcG83%GhUe>?(@ba;7Wi7
zhmE7mL#OHQ)e*vE7&T<*{^I2GvY<|BPW!1+zhvWNoBd4(cX3j(Cjl|X;l=l+MxL!H
z6;UhHWcTqP+GMAv_T13xCc6u7$0qxG9R$RVaur_eLIJEjJ$`L6nq9QqX}<{wD;J_z
z6_E|FyO}TIyDJTL8ks2-)M<Wo&J6Z1W}=QX*#C|yr57ZZwHaV6NNPnGcixcUh0fao
zQ~bXy*kh*n8j~*-QxKNtm?=_O<xghml$u+9NtM#G#KE=7S2Th$Ii4KSDnAaD;uOqI
ztn!o4cI;fkR{1duL6lWaPo0S-+Tu3jAo?Bfx7%j2&|8v#CCe%&mdV85v0qnKxl+TF
zQW;-Kh88OoT61uSRemmd7H5^yb77S~o37X@=d12m<-FQ1B;-)1vBjBJ+k@Zjz&;PG
zwg+2{HPU%WJ@~$|)WaTWc4u?F4*J+5B{=-!&Go9T+e@qME+!6qfbrcLFBxq1m!ndg
zNVNluU!3w?ve^xhycZE%j?G@dy{_2ofz@`0CTg`^0K^vK9)c~6;eKhT;ci8HrCfCH
zxE(!?yblxXeclIU7nHOO4y7;?zK7P{9SX@a7#=iK>AoHR=`8qDy4I(tQom&FWIO&h
zckTU=)Y!9?tKUbhP(%JJco1#K(^Gra=ygNhg|}lv{znc1V#m5N<XtF$wSyjH?7|eQ
zBC^%?W#)|d4og#>24_mG_7nW-oSE_`HiHZr53V%jkEcrMWyw{Y1Q`o?YuWR2)S8}^
z{5fh66I&q*GMPutLX9|O#<F|}>6v&WmP3{0qb4pj7spqUmXFdwG!L{|K8bP0H=#Si
z^4U&TZ29n2cPyW4tpz$2VA^)7qf6Udl~f<@!1h@gvcjX9jWvFb3qgRgenOw=0mA0b
z1c+o$WI;I*Z~l~ZUH`tGTdh>cI~Z%0FV%?2VE?=jmEuH(ZT~zk<-2767%F+U6I_n{
zGm3j%v48X-L17H43?Km!8$cxjE{y@?q%;x}iHHJAY5H`~f*w8I`w8AY?|l+%C1`^K
zD9q^T>9NA3c()-%_pP2!WI>>^dj5ne^-G5S-)!~#eQNC4R?qLER;bnU1w4qhdg!S=
zS@gQq<HFmq)$?5k0kMN!Sv@Wky<qjYFvY5etkM20b4GlJrPV`&Go?oRNBruXSv||9
zgA5uEuC#iVQl<2=<l2rSj$2HhxolETQ2t!Diiz&bEVyNsIUP0PG#bkYA{xvw%cNS~
zyevzn)a0{~Dy3(bgS)(WYo;E`<;`a?Iig2TC(E19LEEu&5if5(lOcep3=KM_r_Mwa
zy>w|tMD#o0Z@0~4k+>}ZOBR0<%Vgs3*sm)iU+HN|_l&P3jeMnNYYuKT^1Vrb8@Iek
z&xMhHKV7kr&sW_s@-HV7LY^_#wsD{7oK)+B9T@e2uuTm=Tjzzcbqr|WYYUOnY=ytr
zzNa~uP4+(o%5CNk4%2v({lmI$uN;<W_mgeYvN@GB(*Z7~Yu;Z{FC9DgLEP(#ovV-d
zw0olLTLB3hRUeS3PfYqtVYPgA3ngqFokqIVYEvJ*DD${-j+TKua<pulp1g4;U#!=Q
zGYy^fx05C`vw2@7i2J-pB;ZQQ1o<t@!tIfxcWr{m^}K)7L@<ZA+)B9wcL3LNgi?U1
zN~>HiO(EMY5rBvx4yUk5Fqr3qRn&Rxxw<6XNUe$Fy7eNCqNhVU=_K}Qt-9LW5#P%5
zQ4=_ZqS2_0;yh2B-?FdLEa&+A3Xz8gBnB`tcZW^v0i0t&DSYW@8Khz)meEJd$kQxx
z>NE}fZd4{K6U90X@|Y^ti^%R?s#k8u_xLNCbAF49I&fizz<0$E_;%JI;QcGr5T~t#
z@tpsTt84XqX@7ANyB0By^TSsnElX)wX7g5TWGIhgSS7P;U{*xptZHc@H(5l!=KaiH
z#GoS;u*+VY<XWo}XM%GBCl3)DlmsgqUdKr*U{<8@41lmf&QdG<V;o2gc3K}nTKuPj
zs-VriP<}*tsE_1sn<jaJd(vqlR^TWro4(7Qi{~Fq9Gaf^2N#aHp~SMiajJ$R`dcWm
zP*7rng%o`&1io196$WL$8dOK2vKds~9Zxq&)oy)g{$Yo0+O$c0d8nA*m~V~`iY#+d
z(lN&s)(+$b2M6={yckG0Rsv@e6(=AP>l;x6haEw7R_XW*eZR1FaMh|DHD070aA=xa
z94Zz>1svSm9BS5vWPbjgJJ${l<k#Wf`oUehWKCIP(3+YGt8zPe`Yuq7T?07)MgO(@
z*fo$J!$GU1jpI0vsJVU}4rP}0)}Wg6Y!?G6J~uL_SXig9FcQGRNF)~45E`gh4>*H}
z7>Po}IvWx0kCx7+M#P|XhHxR27J|SMZ&A?AA(^Bg{4L)~p8hT0h9RN{`Bv*lJY}DQ
ziNbaDd3QrF7wt(xE@67l#{)}-8_9lJXpWmXa}RIIG@VKJ@WoWAU)q$(OHHe8DOGlt
zaiW}7?IZMeZLDRep^@%qs02*kkfr17yWJW>P@9yNZ;KF=(zkVCidJQ!JT<{9t20(R
z@T6}`+1Q$1t-h_q0G1iRD12MD(-r%+_^La;tt%_lk=k^1Y>4(Y;-JqAAt?E&dTk0y
z$IPl(KhuW#z$YX9TmIV)L{LYD{th~DlZU5V4Cd1<l*iQ#U%TI&dhoCny!)0Kt<hhk
zFqv0|iFHR0I+k>^V2Wt(n>|F7w0kqYgfV!pu6Sr5*7zrnZp9xwl+N8CmVQ@vHY@@r
z-bZN=<-LoVaU6N~;9gf8c@gZQTzLW(cICZF_Ab<wXB<oZdf~~-Up-wNZB}YkoMpQC
z#w~nEQUm9UHkvq)bW-eR#xbR=bn025t-6{B-X{sfKJU*Yq)Lj$n$m1z`BdXH?&imJ
zH)E?Q;j6F$;Tu9XI;TUP8-J7<ZL=kNym)8BcJuxL9~I*FD|E%;m#-qkuO|Q|QPA$`
z@t1He#I{B6+H4{W$7Dr{TrpVUWZKaxPLN?1PMWr5*$*Uvlexo@W#82m{WtX9B*7Tw
z$-&65BMrW2QBnNT!-XaLuXLxf%PfNs@0Zk!BeR~sy{^bChaHrx5-{)}{#V(nP+3*5
zgw-ktt5jzVY7v#8hQ_pa;yxBkC(xfvc{+QR(HPCkWq%-sOh*5a8|dKd;?&ecWt7(e
zD&iDAmh^c#KMNk<(I(!hRpk*{1G&mzX^@h0S8%2tQt;QRRrqt^sE6}byfs>zq%(tq
z)5U@Klp*5Tf{0JeN<{A|R71GM4aV9#zhR-6TpLPb)4w&CJgP6u0;7uXcp6pemqR((
z<~w@}AATqgPJ?4#t=F)aQ5o0uxJmoE?uehZ24?&%S^CSS-qon#+V1weY?*q5mz1X7
zI({|TbWatgvpY+t6cNX$QUVdZe{VUFqu~8l%ROsMAKYl3muEtRjOKX>lOkG&>m-`z
zF0^e&^BhaRmoG%|(2d}g^0^$%^8$t-Dw>C$+H(Qki;mPWgChDJ3<I~#SoZ-BgXb}f
z(O9Bk@N;km8sE>a#`DRV&FUys`{=xC4QsV*?@KG7STE(r$^IA8p-_%JKyPWVQ6>7^
z+ZsnK0YBlOH@=IKXZ|Ds8#d2)Z^6s{;(BSkw4bKBN^|yZe<6O-YQ?O#{9HU;L_dpl
ztb5FQe~#CadFEpbK@`u>Q-^0x!`XRp_|;hPlimc0-S(6D=OYYnJaPm46WgTsQ^9J}
zDO#0bw<PZ}3FmkKq#sUA)5=DOuO$6&O6k<%x780Pm?qW~B(@T!;NtzbVpEW>B1}PP
zJ+*5FZsysV^Jlbe3to`f7Ub`BU=S`37=*I5jyzmX1+wj-70uF)RhZWm{kQa_RVcCJ
zn1(q+cO_8mTUu<eFkP?vnB7P;`0>_JGmeqihkIQy62n+TS&9M>Hevc@*Agwo!7xiP
zG698Fd$U&4i1)S;WPRRN37`^1(TqvGqZE<7&4!HiEgI{Vl3B@UI2w(jUHkC>e$mi%
zm!Rv;taSCBLp6jMY4F!oGqRQiMrDCaP^Er3*pto3D})(ojih{Gss^i)B2(Zb*arK5
zRo*o(5d)?V`qFWH{+zU>DK$6EVF<q{3mRE1zXLT=TBn5WlnPLVU!5cC^nom$QoM0L
zRZ8HE?AGaE&_JMbBm+Jt$D<_t$6c^F{wxzpq|NbhCQ7taw`~rwjGNx(_$1o4ZH{Nq
z?-o1tqYOcm%|TCX#R%`68jD>se&XN5z;N4+RkL|uJj}30W6QEvKg6%b+pA|z)?kV@
z%ZMg!bu%^wiIdWB%W3h=C<QC&HH|q|y8gpKe0--RH~l05KQ=dcU&hNBEZCpn^<-}P
z0YebQP4v{}reuo$8@CtVd1+w^ipMsoEX;>ev??u3l3AGqY&-zc!c;T3QtRR?Nefdc
zt6GGHSeQ)ISPPTh5Ekaf8C<c2$yeR6FfSLD2B)TI+r-SYkIDLA2R5eO;u2`CBO~)>
z;M?Z@Xs&jQ%$syY|Nh=IGMT(G?TA@`T<qcwav^XpDDq0Wo7wG5gCcK?nsMyR>v69u
zc4jD>C__^~!Y0oRvTuooW+BYbWb_6TeP|OieFcqe??nU+9L5qTC556HQW=*$&VG#Q
z=V?@1*5xZQT9;T)&uCT-kd*?}2xbfX-KgKlm5Y1D@!}0^J`&klG}(FwAj1}~5p40Q
ztZd==R72RN2K!yLP2ZUXMrD6IK$ZHXfJnAYcWvP%P9A)`?~r$$HA}m(aY)Q(@dvPh
zBe2BH@8l7)D7ZqdjIPp*(B-da>iS*&5ah|jS%|_4{fAH^rKL;6OR0$6&#%srrTe8U
zol>0kf2dLdr)9TvHzZiP6kUPUps~_;rHbeYYxWh~){T|6A7(<2v{Syv1d5(+Y&#{Z
z)%#<#ZQCg`^t;9C{We1oWv9?nTT{b(g@Dx?hiNn7($~S@alaXB67b-8g8LASMavrg
z2EQ6_4Y#cFqsOC|&6tz&R~1R@O(I}B6)!EhX&NrP$r3LFD+@SyQ{##4-Lr2GqCCD^
zl8>H(N^#=D<|FTLyqv+_E#UQJK02Kth~gu9>hRG?kyzFE@T1=WpSW!%^U0|UV?08o
z4K4U2wn=3}Kc0g7qzz5dFq7zx2SD1;O4Cr<YkVbXLn}R83+E6Uni(b5hNd@!4c(+G
zwxRi|J2tdjrEN@=M%y-_+gPQg?{#27J4<k)wT=wvS2@Eenx!2B`fgpZSC_{GcEVR_
zHRd2@<SH%S(gK48=v#Fkvs=#wKi>V+jAK2&4EMTXJ%_P~GM)t>Y|-5*yOwA?Uop%o
z`*twyFw`H~&OBNoyBXVzM(dRkiXo+(0jwDz2C0r*0`vzrgPRcw!7coYt#;L9wn%@<
z?Db|sd_0yAZj|BwAQ1<o`bSZTxAI@uHr$#WkYK#+z6(g~IV)DILJ#TL6=yl5n1deH
z9Ata~w;lo1-%>7B^E0*S{3!ONG?BGL#2Dur(<7r3NKrB%9>VgYEE2<w(!@BnWWl;0
zqUMJYp`0s;d?&<LBFGt0%k^nWP=ePG%se?&Y=ZSBD$SYvXt^}Hr-3Xc_^J$cW({jF
zcLjFeSH_@XAuk55_pZBACdSx6FH*vj8U<F5P<9K}$!b-++5kr**9w0sr($u(^YvnN
zPyYPD{N@HaGFlFFVgPUFhlhBV|Ikoj)v!r>F_;Y-hVT8XHNo-!;0%-Ch+EczYBlbT
zacE$m;L-QbPP5T-1gXbz^bssP`kvJlf*KJ0E`1;opGPUCQfOQtn9P92*!xjO*xM-v
zKvy`{0P1)3Gl`g7Vvik#&72ue22jT6{O1KtfNcCY&q^fXRW9MF!W}q?0^0j~qN;Gu
zg$Y7`^YHNS)J(HntLB`+6_Q0mPkV*xSY>kK`KxlM&3N$EA7l2HdZ$vyq3%Ix+1OF*
z4nj}MgwS;W2_!uQmEsIV>EBkEqHHUnn7VgcZ65^aIL`{r`V8$*A$iPNg^>OvmzD6x
z(lYI6sjh5Fk(?`#wxMQcI2F~KNU$Ybio=C<1FMGd4dg$opkd_GLPn!vu38x_P0Xwo
zIt%TMDb?$>x{=+Z?Lqd<7u}a0HbV)&*xu(dAYv9YSnJR_I7ciHxKd;A2*R8Jkw@PK
zr-4+XkG{&Y0kX}cC4*7EGE@rbVd}xWB#K2}is6{Mxi~Q`d@mdFJYe%{XwR+S&{0w^
z;2vy%5tVuZC4#cB89v^SLtwkug(b%MfQZ@8^RKmo*x(E96g*omjg~5VOJf`IJJ;=s
z5C_j9N(gcA!h;N-!y~t3;t?rOwlj~!vJ>gXN}wDYMXfgo>PWqi<pt?_Q1eK?tc+JM
z()U)N6S9gYl}?atVtTB!A-6iey;+|gMIO9TzEB$6J?N-}5HNaQ);ds|R;32=rRL}=
zs#-2imGJi_QWja5)7>k10|Qa20Li^FC3ps<>8k)Go`d?}_+DanT8;8(1GwQd7E2tZ
z`4I#>)<<YCbQ!BgNF0c-h2S@}bU7i4UoW^C^B2cERjOhx!XEzt7)Pc2u$y&^d53Lr
z<uYF3pAuc);-R>=0GaPlI><JCF@Pv8Iyn+n0|ieYZ*V@9im3=bW~zC1Ud6!^Sru`C
zPfe4)08K(xSCbdK^nOt(iS=*IncV4*Wa_lc8T4VQ)Gz%<$&0I(<4kNPOP%Hy3`OC(
z;WhPYsX_V<GDk>BN0}Q-wQ<8#^Ec-W*?js1RQ;9Hi7qn9|8YK*ib-7fNZO|DxF%Qn
zDj^t2;=DfZFVL|Bwb_$Cej<NLAO8nZv?_i4N(s;8<5%uN&5f--ezB++>*JsIeC6Yx
zPgm^Y=d14c__rVj+SpKSUv+42v0kB_^NqICerGz)xb?do`25dMJF{9_Ei{m!wX}*Q
zu$>8fdF!i6N{2nttk06F52Uf3mBEo0pL6F#UAI?GG7iH8FA13R;72kR1%mF=S)c5?
zZx6kT{2!ub5P$154#E}<$`1xo*^!a_0OZIZD#b|!x%g6kGu}NX<-2rhmm!F^ir{iq
zA(rD_S5_hPsl_4qSE~^MAoe96Pq3vqw5xwBhIE5XDv^{rkVRWDdBR(oUf#3myM5j*
z^7Be023g)&USR)xkDNFhf?YVJ=AlbFG)9eg-hb({$tzEOZzP$m!!<4zX^_RcT;t3j
z&Eg*HBPS~q25qxmn;;9fT-z5wIMRwMw>+)zfFMvMrl;VfA-4^!2Mvo%xfIzj(HLYP
z`5K;aqhahmK)_gP%mMo(2r%yOl&dR6qeyY_$&s&^F0sU}IiHGUUuC5ce31&Z3w)AV
z)9;lC2H_7itk;%8ox4#bme)C1>|1*9a@Sv#sq0d$zK1IHOM#fIR$t0eo_4NWSsBIJ
zX1z8kbLP`P2#6u(a^YlzyFm;M$?@JiWV6UJkGv~&*X)p*n@}qdn&rv3o(J%N=^c6!
z4n4IeeQ3@XwAoutptf7U=yBmmV!%G{e(qm9>r1_w=$}%rzAHtmQm<BQuO^XLkX5of
zHSuY7jMA$Y2q7Jo>h7z6QAEx>Mpvv=^Hq1W>Wve%Mx%oiqwBKdHW1(HKzm+lv}b~v
zWo!FcJO2X+wuebHyE)M^Kh_ofH}=|g6NO_ZQf7g=FFefZrykxce-FPS4k7Wzg29P5
zpPF%W)9(RgUC~WlmQebr0D`rrA4qZ~M#rq#Dvwl=gQ7Ub$`Hj6u+B7$8$<LAst+aY
zH0sak2{p|e?<c+rfqAM!h@iT$#D+uZ7dZo)`5066ET^$(HV5vMLO~G735GkW83kvr
ziJrGY87m`M(eB;R!i;jV#1uMi^7Z}g&C=bFua|aD<FuU0?Fd(aek`I%a1syJ7DR9i
z4(g$}6^@ls=}fVTlq-&omLRXj;08vjCr;s4;%MPUalEu4FCMe1Ef{Y&kK9ib>5?N)
z?KA4du?qJ4@4#xruuw;+@#1a@$Js3(Hu59I(LJ=<N@~n#4F^Oupu~@%)tvU17=GPz
z06S&a(LbP{#W=duVg2AZI%-&=TaBS`sd$akNUHHeU*_?%NYm27gLN|z%4ID)puj!G
zVGi>F9``#tf_qbkoMr?@r!9qGC{faQo2c``f(aefi>?yKEHy-c05oLlj)vXaOU?9o
z%`B+oWli~gijy$k51dNle~C_w;TXF7^)p+GGo?D6mLkkVUWaZB^4(P%<f$~+w!%hv
zfnrc7N{v=4_0v4om=JrXrvbE89BELK_0rh%XlZD&RIC<cC7e7XPP)lMs_`jd;(<6I
z20<+fB6;*lp*l5)y;_YzVeOiM{MuFO<QljGND<57T$(kAWD&~6Z(heVL-4?Q3An*^
z?<JmVp|}9Hf#i*4&_@Et6rF`|OX3MZ3J^iF!xkcSfny0a5(Oms_uKDCmXRkJty!f=
z%_Nnl3rD}ds<2;>S{S|7x34F^k8BLfP18;0I&SqT`OQdSzL(-QgLC7c;G<Htz|Bc6
zS(RJE_r<*gM%}M@tfiH;lF@GcEyApk9gDCa1K&G041B7~z#~~1cr2PBA!Z;7ah#of
z+SbOEB!pH9P9^RiJ0M&xPHze2afg>DijyN_MV!VLl)7Ui*3lO^ZtX#l+j$9I-hqSu
z5UeJ`g*FxtA{98*Yam~po}8N52r0WsiP>9!i|qq~?cmUPU~Y!a*%&%sK{8L}Ld3j+
zxpU6q6CTc@uc$4#AEHYA(t1yJq%PmABd4S#B+Lt_QelrY8bhB#P5N{en4x3!d7lcQ
zg|ob)7T>9FDV>B5rD#<;3C)}?76)V1QspF6-UyBAC?{d;;`<K(rEnAekgnKG$XDHQ
z6J9=9LYm$oc8|Bc>Ygb{jrG9}9EPVVhoRM60nXQYWwg<{(!SVwODVH~dzy(^4_x>H
z44BB{3gX>mhwHlj?16A03bUe7A03pv9~>z*$R;3E3|=q(1iJ66t1p!G1YXR_dhotk
zTMyn};p^W)9G<4}kYRoO6jX8*aC_j}>+360zDw)thA7?%1efE(d=ewAD?Ut}BgZCy
za%2if*gticL{_3B^PKBxxY{f0yv{}0HdJ(?VgtqJS*mCfdRGxdeclxkFtu6|>mp%K
zV6QSg<M}d;XX6LF^&3!b`CM;cjuzNu6!J9udijx={1{xv*g!eWk$5u*$eRTEYk8)q
zS#Zx$I61$=RmR5=sE2dJ1u=AR8#3$dn3=-yAe7+KEKBlshmjHv@J5^vWv}386l5xn
ziz>->R$~90IByU^=%BYbQ97qBN=5$b;S^Axrzn9UA`7jUXgXn9w51Q4F6NrGCJwEl
z<I9WiG$M_`V15gqVFE|!K6EHgwN!*+gJ44)<=Idl-aLv^?2Dt+KWqUh6>(^J1y0YY
z5{fFFep1}M8%8A`e~!b+Dch+$xf~s)Z6Or(KpRWoJrxZBU8C^Nl5ci^FoRto1c>+`
zaKe*U0~DB^0L92jI*I+RKqQiajMpY6YWuV^=+=KZWQdLZDZeFm3%MC9sR(Xl*$yGg
zZptdlyk}Ak;cGOKBjDQccaUFaa;<Idx&r}6KGRD>cxQ6$;Pez0R+YkqGoW$2F}99S
zxpR%Y7Wxa+?d~+L5yQI9F#70Dxrsh6g$<~>5=TcnE&~bsy0nN{=OSi3A>(|37<KI+
zX096#BBnYwh&k3p%+r`-)<In}iucaRwY#L3ZXLY3jp>PIVbvhJ2EaXQ2A}>kHJi6t
zJJ_}7&rR2k54Cj*$;Pf7C?s9W_N^eW_tGGYRK{)XkXAWm?9i*IQomI8l1<)g<(Q@D
zA<RIPCT1YSA=3<}Mst1#mfzHClhchRPV_>KJF|;SOk$y7L|R2wn-63=&brRKQ}@&k
zCEA2qp`k?Y#DnNiB6@1072@X7PP?uN*LhRWJzWT6jd1oGJitAU)lrq-fEXmD-{2m8
zHJPhZoo)4H2kr5|N^brFRZ7pzb+ZSO7+R=sbbRn$#F9e2RNOsQgC$X|QKkmg4-I=4
zo1<k~V9w(|Qd0%LLe;95Zkw)<jw<))jj~oI6VWFmS+llgDrsil(#*rt(swiANe0jT
zD^n^OrFK%RtjX2Bhqhyf9Up!5O@;ttDKvbKo;qW0e9oxDno%TuG<N;5Is0NPKlFKS
zZ<ELG*AwVR0$v6O(vZkBeq+DxNxz@bYclx#4%1W(b1v{nxZaa^$BzjPr02rxH}FE`
z_2aAVc>Ol1iLBiN$k%6y4pg&UdBL{kY?0g_t0CS`c&0NLV$SwH#(4YK!^iTY{rJGE
zfMa_cMoSDQK5(<H=)dVeIQQDZvJ)VfQu)}SyB6lJi}!gNw0PU88OObL3GQ{pz1G4O
z%C#n-V3*G(*{?*`+Ikh~r^W`>u`$t22ZIE~!<I0?d{Skj>iNm<VsuP8<Ol{hE#*K#
z4U3vim(bF?x@*436Y5^4!DyZ*DJ!!B5fn+mf-a=7f|gx`Jv?-nWjxI?#!KiQCF6>8
zSdqD*=T`4^RI|^!Hw&%_CEjbOhVV3)uLnI1ztj;VwoNUALjrLm>s1&@^eX&1VQq?_
z540zj+r`~6jx~~eWG#3X_ZLJ3tYTM@*L&m2$>M&wW*=3jQf;YIsmeM#CkLq+PD3|I
zUe7VLhOsNRliME1uf*xcE7i)l|Gydsn$37TKLC!&?6*<8WjJnes12WN?CAaT%A{52
zGY6r3ILk;-#`}k;Qoo!^l8yJ1&3g6qyxf(qjd;l4qOB6-jx?_ru^70EQTu5J)}Y8e
zYFIQb5<Wr0Um$*)_LwYx=QNT^%(`Dj>x)b$G)C>4A@C*%UaYGFIG1N!2a43Mi3Tb4
z>xWXbD)no_e;M>^HG^xGXlq^luoo!}dmdf!x;kHVN5j6DC0o1d^_nb-AAKouCH=rG
zLT3k;mDCuGe~HrgMeh(p)4saj2ZFby?w_bD_B0yJu`@?#Y(a#GA6j~_csfV-D7%(#
zu;HzuW*jYl8SZsO%MY@GQt<@{tgjs}I~A(pTPoc8ZKQ43Tha4K%}|G<3knS-Ih6~q
zaEFPME48|gd}^z%#=UnHfr#aF32Ex(bniH-A@+)2rn?zGsmOfa3M&wsA>?AWM2cJ>
z&%sB9V`3*=vDoCR2(c*vhKMe=eKIpK@la#5Higt)86*pNIC0oWb7s}7pDE|J`Chab
z?YXmMZJ?8csZKU+SL#TlPD@@)W@N{Ma+|K$d-=$1>@Z4=V9nXjfH{a)`<5Q)EM#A%
z`<PwG8vJ-KrDhx<y9f8WB4oo@M2T7f2#eaP>{^njT_?=}1d`A$CxbncoZMs|=dChk
z3tP_AHOjSb--RT7n}g$^vVM&7QRN^xIsl7loyqndr^$FJD?KCx2YX0P)`2lC9n;+5
z$GjBMrzC~G-<u?m#q97F34M}&FJ}iuNX!l)e3o{0_#8eeW{1zy70(WQ6*W5ufIFET
zwpDA@p(b*}a_(`HGOF#V;))DY%wWXFBj*hv0Ln3n?&(_54ewWnuI_J2w#Y1~AJ-NA
z_x75rJCX{H)IKrtMIpi?pX(9Jg5f6`71`yvL8JF$YQ~Z0kK$fe<ar`nDd8@lV&VRn
z>}RNOFIbB7*6mmZF5!R)Ql^39)p|T4m{6v0%Ojy1+~<gf<XzL)88eN53W_bPG$}X#
zh`3|UFrV8-H3hvTF9zECyd3>W8%Dxz>O+X_nS2Xn4>28?P416v!;$jXwnV3Vz@tm?
ztq5$Th5Yde_{ey>do7Ps(~xY}kWK`kBK(qrSXIPlj;Lo*j$=@vaZ{iw9XEnTiw)RL
zoFaU(ID?JG4dhj(JmJXl%Yg(UwkZd;QAwz5$SNYc_*jk7hKnT3vKH@T-Ak#Rxjmd)
zy<48f1x@U0hh`r+0eOmE8dmNTtbB4-R`yP!8e)0Da7j1!DXq=|qVoHmLzViaoJ{un
z-n$t_yOBeNeJPHZqE;0DO4(DuMm!4QhDa(lWk@$G@vCH%uy|&*Ln)*v64~%PSRAc3
zkn$UW%!Ls!{8+P`8?V$GO>?eg?*XP+$nQPaAe%R3;TDecx)?Q*G+pV*Cay~9$zGYF
zRq4rA!$|2>vAVk2A*Lo+&E#!)vde%{DBTshVx^m}B9v~agSP9A*&0-$<OYPc)$Psg
ztK0I^9VpxV;mWpdxFes)OF)fu8iwN&d4aCzzq_|pZH*{L(LN!RN0ika@l*>XR<d8K
zkr1t9zu~aM<{d`=*^5?cPuPnfNDL;ud#OD~+n&L_u4vl{e5G`40TU~0&y(Fv)U_{E
zktH+{1$AvT6rp{O?y+=jjtS77>-HPa1o9ptX#2ePOQ4m|i}jGO4t>b*GZW>#nkbeA
zUELNia1_!hIn+4_o;?RSRUy)V{;_FVO31S<gbQr-Dwm*Y)Jx_(5$M9$pQI{4X`bet
zV00`Q>BE7<tEWVN*Ep{HxVJ#Dk2@6ePQJqIP4|!F4ya*zIC^7R=0W+FPW4!Vdnci7
z`Av3-U9EfC5o!!f{#>;fhM6blS(rIW(L*6;fuN6ph4J%`neZcBhC~y_PuLj=F2Q2;
z3Jx9mV}e2G_J)7EsoVd1rcTQc_8(KFekqlcb^9|-z(!E!Y3*Fgw=}P6N#>_{8{Bck
zO8{;LZ$Y0o4>eM1q=bu<8tD)C)%am2HBv=<C7fe9M`@&L8q%a`OCudb--Skc9$m3U
z%2(adNUuT^+6cC%jty0j!l==<D!L(yDjNJ|qz>vo&}$l;3plH8F%Ib!N=J4pcBC9{
zNj;z(<@hRH@eo0+Su|W4f<d^e+}m0>@sx6_?r*dn9HssmTzR)pGmiRuDeiSe{f%N7
zrS}S8SjD<rb}v-#wY09MiA6x1wN_;>CHAEwJ1G=k8t`NAEh9psRFwPUgC`gR#ckHs
zl<*n^W}kPPgjUJaSV7FQ@n)(aR^+O>tFhITC{~z(C=MZB+7-E1;G;qm-%VF6iuo!+
z6ng^TPFCbLg3XcoplvanDbuw0R;2iqzK$62rqc?mmO2t^?~*i5W)MfLJ)kT0UZ!b<
z8OO+9pze#sGxbvs8WvxFp!=0wd>Nd0AEss;@pT{Wbwzx+ETP1f0D{HV{jyu3V#{6{
zI|p*BUMcN`lp+_jK$*-aOvkZf<)bJLqtps)mMR+A-ro^Kecs<lz>*n|dPQfJ_gt!G
z#a2RUepX}Jnhi#8pcBB0Q&SVjokAP4u~J0nWlsk-VmBxi$|xll;Y>Izj|Os;!O|eT
zDH1ays;??e^@J5pukjI}WU&YRB?shNhK`R3IzF0}j@~0wL)d)=XCZc9iv9R0gZY1u
z1xB@~^KVqCUk>PG!>@3Im`v1(?sc7uE-;kLvT^zf8s~ocIv8P3X6ZFXSfBSx)JSOx
z5_VFWg5Ty>lXqsM+J=7WOF@;i_N^l2$y6zUl-|F$BtI;8|J8EO8r#p@tQO<0qH~>T
z$9iCNL%9nKT|R;nxrLA@$Qs1FRb6g|5+O6?&pSC711GyI4SrR*dEDEYXLxekkO^yY
zQ~J|UDUKUD*_3_>+O{{Pe+E1f$OXZh($_NtP>Vx1rPEWJ74Y7rof1H!t@EZZo?HlH
zJsUg%*CgN^bD{ThFeMsa&9BC@XyGR0!m3P)W2Gg7l0OhmU$}0s;*9^4`c=g+#&X^g
zyD`Og!J8U=%yo5#K=Iau<hoh{25heLZotd_VuXYs8UZtGr8#@IzYst9KxA+Exp=yW
zeio6jra9|1@p>}X?O_O_xQ?DWTz3+<E*z^GAAa;ZAf?-8GM|(g#(0DV_$0PT@27&L
z&Pma#T%0D6no0i010Y?2N*_>4VSJ_0c{~u5imN4jt1D12N^JU4VkKdJeu}Qx{^Y9&
z`%@Zh?JiDVF0_K7$zlU1d1vtF*_#D2r7yKU*nt(Q6GH}?>&O&+6!^ABR5VvRrszNF
zivImQ=)8n$fyq0|_F&n#*A~0DgRBYM(_(|g=y!BCvs<PHMc%im8OJjH67F@yG7V)D
zWu6L1*gXAv*|$XV^t@2>lt+)yxFc-T%=I+xy~AI|;$<HFNvm<Pq1xlj$cTSZBi_<z
zE19g-N|o0#*tOZN&3XX8Xb8Jp5cb%tg!PW08p3il`0J|W`qV5iDs$%ys?;wBe6r<w
z)eXXOwFXnZFooz_sE)kKkM;Z#96+u`o3knyvv!VJ)70|ks6nV%Ps@T#R>#+&Mw|&m
z>bO*h2<a&mqSN@*IWma1XX%vUkQ=E|0*7QbhzEnFX_7(QHEZ{_Oem3dN0o^Zt$WyZ
zN7fW<4YY0B9lwI`ZMAkih9JuBpr`gUg!fL3vvy6uN5Xp;7;f9KYBvvz-3i#T?9?%S
zHQr7=Gu$^K9Gu8K4cAH<ZaFQ!8D+C3y{2Ukt6#tGAU>K!sMC_0-jjeIo145l@p1+$
z_CdU!%uVlN2%@-&p4!}$O!2pKd-0u@7N?+iY?I33ET(8x3Rsd^nFMS+0Mg=A^LQqU
zQ)#VQgoaq0Ow?G5lim;(=TGU1El$4bj>UO}v^x0AuC`6i3p1FigZ39YusM&n0z1g4
z;vNWj;N7>>3VvIpHqr}e0p_>v1V{Damj?$xG-EqP=R#f4e`}8#of1FJD(I3RHN;wI
z@MaK2r|6z$w>u4%ypyRJ$L^eudtI?R!&yZco&prMe~yryOEf%Jg&LlW;s}#7Lk*2^
z?`Z@NJjN0%C61!mlKMoeqP@<9jO{fV+m^MtJ<-~<*F<4{K;3~oq7M8MX{>26wL#fY
zm?C;<x+`rPYF#O)b$M25d7G(*upkXix@tk*oCQW@A8e;e{c`9gTaZK2f@B&D(CHPF
zkh|I}?Z%P8d^6vio|-7-3YHOR-EZI&M=Xi)J9+HO3`QTA{b^nQj;65R^-p22@6JLR
zR=dYgBc(k`BuuF;-N>)bkv;nIES*yP_7bX;z;D^@(Tfx8Q3}7P*77*SmJeMK^P??D
z67qt(Ypyb*pnF?06`K>kn+ZSCoOlOQD0(um&55kW>ATUkZB7i*@8t_oJai*i2-D2x
zz^iX%2%^jhdTN^!cyCp}IE_WMMo^YY5+?hru?jzrpZmBM(Rd^aP8u<9<X7X()`Ppe
z`j~_C_-;u~dL#h@HYa(1jF&SQreDMB$(-~Rh9HWQ=&4OpycfN6Y8WT_9q@_UW-_0A
znPH4aXn;>*n^eZ`>r=EUja?FmnWT3-0Mgi1Du>c8<15MKRi!Cw`5a>GGNZ&AyYz-I
zc30hrD>iodsyoK+<;d4if~DBR2DbxqI;8c%NK?0mHUeB;Y8JPT;?y=ewMSt}u2jYZ
zA?y93RxRLn^`<;65=bANwbE(5ro3+m*DxQ{BbevLE5I7|;13SK_*Cwf>bi#rmS3-;
zy!`nEc|O$Xcgz;bXCO)2Q}FLB{9B2CtMKoR@(XAprV}AeKfPyCm&vmBHXss0H+O_4
zg&Ro*VJaR5(LStE7iQ?&fY`G``4KzRW<fC2Mt%qWmzfPBi^Z&WJkCw<kHQU3n>HIz
zFP;k!;uKrugt<tBe1svv2s7^@wAK~(f?n3Pd6+0uf^-z*V0-rxiP2E+f@K0PxrxSt
zI0sPMuECp{RNkG`XrK2o*|rkm!9ikEivXh>?H5xG5v2TL4Onb7wY5X_L-(##_6v10
z=7f;@@kt^1-%3|3`S~hB@=I{>rM44sUSW}^(YE-{<m$A)7%Bf{%utMc)f<xR_M~_y
zSRo`!?B`0d25)M{VbS_gN%(NCi5IPZpzHc?I1nz+R3`%m5x~CAHYKX*p7&|$spG4B
z2=}@oOth~u&=n<31Sl*`J}B`YE={5)4K$>Nv1$OrIHZTx4y~AB{7nEMhVi%Piia^@
zMGRxf>+QzJZ3I&IFu`mq6(Um@^5|yTn<c&#Ic)v=4g}YyT389FZNN{m#<oE%o@j(Z
zSrZ{s<2Yb;aB2p*)vANzbvRM?)#`f&Yg3KE9i=LAPPM3W3lyT{Mk@I;C~5vja%(%1
z<`=qd@8i5pX=A$RExs#Me>*z^bwV_}wAF)DJB46L73CJC1D3zaPh_mMpB9YND&h)2
zm_bDh!?UF#{yR9WD^gwW$&-Ua$#X$$mghf{TpljZO$x+g<yPYHwRt2JhpDC}`ql@U
znBHYXNMt5UO;4pI{wF~tw8V>L<v4U((~Ig4rWei92G!}NmuKOVVtTomu6TOktBC2v
z6X15DC2ncp9MmD~$Tqon+tw8~rIOxjg~i?a-N>mYSz|my$@kV)aYg{RM%b3N^0>V9
zRmE9hk2G(wB3X-NtawFokFM*#`9MsmMv*L4cf-d&I8tnshQzMPt;LyAeJ~6YjxKp5
zV^JXJK5b;%ci$d*7rT~3%^?2n)Hnz=wjV6I7Tg0E%`ZWvxWT9#1aHQ>FG%?=ITH*)
zygLXkNA(@Yy{-t!Q=*x6RtZc25DUyQ!G_5xRAAbhnESV5NQ({3?D`9wnW4pJ!dseN
z-UsNrecpre^WhqeOD|fK?`7_0jJ{7})bd75Kf5-KjZD~|xVKcV<H%iXRW{jovH7@J
z+=D~Urm+T32k+KvSc@OemuvfYOS3|F&g^eSWg1|}+&fjP@)jxDwLDBa&L(*11@eZC
zADGWufsqI5i{PO@ad;@0_J3&*CrTPGu`y-fW;y(6r@?rCj?CaiP()_%azPAE;UR49
zeVkwr(F}&6LZTUxmzM2Q)DsU@|3;>+e{BH|;>W2{zZ7%HAq^L??54oeD=VYT{JwGt
zY4bSPgq9SPTw(ekTQo)l(&I6&3n^3Z0-JX2*&<?I_*v>s*-LEiL9M`ItqMT>DIPGT
zL$}V-Q(N1IV|Y#Gerh?{MqP{u7ltHu>+^oZeTrvvxqe2}PPu;eSc+EV`k7*KH4(&u
zteh`pjq9*EHl21n_zI;RpGQ}$9rIO$cHE)!<#Jk}k@+IqR*5rhPP9JQfi8TiRx2#{
zWj|Wg;KhND3YSLUo@Q_sxYq#l_LvFsVZ7pdrLOD0wnr3SgCXfdGX9K(5@oK=8@z9{
z-r)TezWyCV;E+Z_2F-UTDy7wYZ%O$sX}*Rc-pvG;qxoKndtK3d^$L>Bd`jgNkg$Tb
znSe^8@~+)p!m$)IGpPix(8;t4Hjp2uT=3hbCvT*TuJz)K*{Rh=O-)emPJ$1MQ4&lg
z5rcywL}%zt{%4fGSfkwN#J8S}1;-sh<jOQi$f!RB9}jlPwdw`J#6%ulXu#t#5nK)w
zw+V$~D{v|Vo)dwp)00!0K$L%1Qd7OuDA%SZZ~{OnH&tvjpi#>c|7!IygiC_loUb=O
ziqvxQqyWtVgIJn}#)8Bn0#Jr+Wh1B9WpcXFB<)2UmVqsQ+&~Fu5#S&K#M^ReV7ns&
zbP$1jVw8PlUENyv&BPcEz32kY%z%1>7*MazI-tDQQ4OJlhjFm~j;j%Li!4)<2*5>b
zZhrVmIQL7#G6hw=L?@IWU{|LrYVNB^uA|deN_jX@s-+2R_C$KH{d^7%-5seQcyce&
zQsJmc;@1W-OO=yE6MMo~1iN#6#b>o~9K%vW-FgrNaV~iQD(Eo|q{iZDeFWL_P6t&%
zlWL*tr?RDv<ZhcLc}{=7(?qQJQfJH4cUiT5{=vkd>4|@E;g}mre4-;tEEJU3U?D}{
z3V|<HZ|9H+Ij9z)vKdr?W9@H!X#Qb`(aH8KPlt*jXWKK!71j>q1_uZ8c{z}VD%A?@
ztFGK$s&B-petc$YvD&on7uF805+~XhhY*#FrsYQpq5|AA&7o#(NGuc;cJ5p|IFMh5
zf9nT#?UFTRjX@;7F{*rSC+h%QW7hzuo&sQ~9{jOuAU{SabT(pzu-II`4yVk@dTa2e
z^K4hnU}0oVv9L~IVI+Wskw`48Av9329&iQ`F%pG{b#~v~A1$3tjfg=@zbk~&LJ(Ly
ziiFOkOn_$Dpp$~|w|pyk`nP-=hKL^ITdgDUl>JXU`vxa!@9w9Qxz-vn={+A0EEx_5
zpp@*VV=dt;@C>S@8?+4%K#G);nLL&MmT6X#p2}}irG9CaCVMJBt`sczDvcHwu=v=Z
zfQd0us?!N}!VXlbTt#isVnYCG-e@@|-c?@CF=UXdHgMuzL*0>|q{c`YWFeL>h_s~$
zXB5T?H$~5La%T<Rwq_%_t;_M0YTtqM0_)#FF8Fn7#M<7{7ot|ExAd2I5bZ6cr?%$@
zs_Hv?9@Ca8bO->8G3sJDsLmffY_ZO;QtB65H%*6GPOP{)NVK5Duw?~BGRXB27Y0yz
zKKNAg9{&n~HA$iD^ZtuDEFK8yyQcA<(s%s?znZ+fk}9?8rc4-<!s=qGlwMdp`(|=_
z=zOVLg#5s^{k>Rj9MdkWi3)rYV>Nh3U@_*6Ac3+fgw0B<EKZe1E8|G3OlN^guU5i_
zy`1^F;voB$CNne8&6&_4w^waPr8sw`9XyqFqu#A(J64+UM!g#t0x)jq!Vf)lMA`Li
z6M<YJEo9J0^sj5X;V|m<c`oe9gKldAHE86^K}UR?Y0$-f-IEJO%63%l(fCSo!_{Uz
z-GsTOdBMor191JAXkB_P!l~|~D_$_-tL`iqUCN99hz!UUt*g>?AYS+UOaWB128*wC
zuvB!cUMkXUvHsU?K9PrkW_w^oOM11H<;}=kf~n+#y5fO}8fg#D91~^sbseSXt;DFg
zp~pW9(ZA5W3tRJvUo<nA@jgY(I7>9Yk9%ENqG@FfwLT-j;KhOmWyeB8lFBJ!@>K(v
zJVSbCEepqPtNa$g5aav_y5e!pSKS%so2>(d+f7<~K_(8=$E|lT)|czCZnf6YX#XEc
zeI?gZkM>{aivC*;#6obpxOT>S&d^<rc>7jx%rChoP87zEd4nHsF*W0i`Tqd=x-#a&
zSVWC_0SJ%!pGoqCj(R%~@zm|s0pFCg1_)d&HbR;O*!Y(;QoWUgi9YYFSiCwG4SBJ9
zoW&TUXUa~&`Zj^@uimZ)Djh?bmxx0YR%NuzcckV}frY?62ntiIjZM=E7goE*>5M(3
zp~(eb%g{`|P(%w2I&a0KpXoKQ42N7GIOP1S9OA8~8e;L#P$IC-;eV3c`*L~Xdd6`<
zxUQwMKX7kUEC2-V6$k0f5nd)38KgHx#gYMxyh3r%h?Z6PjT`ejM+WkvyK+0~(<SrP
zNXuI-uZ*_5A{tTh>QL{7CN}F;mxFGuotfwbRTPHGA?bc>s24QZpOEt0otv}pqsj%e
zoho4`iQr81()(eHpVpEU{hP7UeA{%XI?7R*Qr60$u7VQ$gts(ulU{@v-kqgWoONal
zHC$pj;#!%Z)cKTV=#42_m1d|RywJi^nW1W~)3k`%`yH#Gz7|jl1@(1w#R@84bw@#c
zMq_$vs#b3{IP*S*uC%MBUXo393Vt<GS@qx1ds?3hI_rKhd(=-d>a<(6Bc=KwFi2Y_
z^!s$hLk7LZls?wwST$j_KG0H%r+`1zz0Pi08;p5>Ld`g8_PcPeD{6K$>nLSgfWxZc
zyJZJMm2GPVxcruKiNlI`w~APcQb@%{l}V(GB|%Vx9~oz@OgDHBinw25F)=J-_Te;L
z-$q;3@<3bFF{gaRp=EIGW9e`JTE!qs?7IdCW{$5p4MrQN<O7wf9|Q%jf`y&$?t&OQ
zhj0wd?-2}QL+O_#I7zdh^nfbLW9kWE&$PagC-G4+_57Nyc<SM+h^faD0C%#b^s;8X
zSgG<skL}JoPs=jz=+8w?I6^j*W5oF~CC;tJI+Eijy|PU?e!Q;OL%aXwo?Qz$j&Ed<
z^$2)_5V7tAMfOVF!R#X2AjdnKnsG$-F}T+iksZPwN>&RvSXM8SJqwrBDcqr|0Sx(&
z?xh{_TL6X_^4HQ84|%?d81iy-w40>lT1|Shg}iNr^U}5kzWHzmBA~BD1lY}XBn(C+
zV`TP}4(W>i@AjI`976V%L%xm+eMtz2&}TtWQP<tiE-DP_yxXW5M^roq_qrk~V%bOu
z4FM4gjpxcfh6)Yan|h7yP1SfslzP2Fb1i&;`>Kc@z_tXjVVS*D9N$#ImJ8!x((Zt{
zYfw|odlmJj&wHipR5HU8M#xKhh_E-4>=l}1mID45Z7`wD0%o)LbOThu$(s|{A%O4<
z+7Eyv%VRdla1)_pqto>|ZJ`mnPex1FBLKgvcK;6MX-@!Bf@3?%WRZM4*x}NkNVFO3
zRi7-*VDoLGOwErLN6{QLDH5+xY+7LZibxGbN#v>OSgpFUiER-GA`#mZ#6}3Q^MTvL
zLA|?8%9XDjnteowMyg&KHh!yM<F{mGWA8qyAzaCZOG08S=ghnK!7Lyu@8W}0sb9*)
z<lxGCgWg3WalnrO{uK_#d;w{*<OZywIvqM!MQW{8Sd^GRzAYi9tafPkSI}t*2F9pp
zRQ8r|EPP=E3_sQ^=f*4bM$@cC^d4ZEh5X)w4RZO<vv3Q$ZT}24k_=WEJw#lU(rx>`
z6s=0Ptr|vZDv33@)pm0=scI%~%WeBzKq(aIf1@i_r1`2liu5&lQdfIb+E$}Cwx>qR
zh~^HI=#yKOXx(T>D)iw#L{_TQY))v=uR%Id(SK*}s?Zuqj$OU1g(sBbE98k5KJ5Kk
z9*eQ~2n2&PZy7b?D9`^5oOVTdj$t3AItzGM5BrrQZKCRY{#FX5g)T&MjK-)Aw8fp#
zJ(lXs-czk6w^v!y!dp!U?DNizC5N*T#wzh4!LCe*g6vx$e&LE8+6^eVn}Zgnry!ev
z?7fv@es{e%Rw2cAtkf9gzteTzX-ze8p=mHDZ5fhWB1p0!D@nYIsD@DQOrN`{-fhbQ
zqEhd!qe}g9<R+_kr)@Udo;As|a;9mJ^qNMmpY$e1!%&ufu_E$Z)JUm_Q2$dZBG;s7
zRVpHi;F%N=C89Jr+EPUB29!b(xreS;5#g)uC?Z#gG1}q55t%ZF+h2@SKm51%%mi*y
z5C<XW={shf!BhH?U9B)P)I_8YoCo7F>F_{)W(avT#sar+!W*&|NZrtSl7Bv*JAsfQ
zaYl92ITTCmZz?q+cvFvI)*yZl%oeS4#cL4n&~*<Ls+rV3Tj!D<jOaqyB+Xpb(z<-b
z<PusSUQsksKZDfyQ;p#;=V&=Rhvpxl5@zWSs~w;IJdt?<3pTh4e&F-*ANaGtUQ<%f
zJ_NxoKY-@)PIL6c=BBdg?;_3kqRXFG;DHU*YLXfnPOD#cT8&=gwRaua$96a=n=M#U
zXJvj2K(x$FaRi7qV(lcRAK_+$tm8<9FxH`0EY{(lLCVg5Rge@8(!wEsQb3c6b&iey
zKsf8j4}`D|J(+vfIXfOmYa?|RS?5duk&<-;e%fT6v(wEUE&OzJpq^qY=WdX@w#4H#
zoV%`KJfss$x5R%SoV(-)Lb!{bL~z%!S}@5;R^lgvfSPn#cgEU*;j)UrZb;|pNucxA
z_<p`3_q^vjQuk#}EvHlA6o>}`vr;Qo!wzbCWBj*MAk<rqSlU3Ie({~u@?P}B8Hurc
z9fEnmklq)MF!>k!c^fs#H##W)NNl&g$Iy&BA$woIP0Y#htPk(W6E+Oi$ywniWql?d
zk{`Q}_{YgWw4ugivEICG8VhBO*}I`Jc;B)Cbns~rvUO5SewXqa8YR?wn5GcY&O1CN
z?1|XU+iskwNuy)#`+oqTWy)y9mM4!13qyiIpZ69ZrYpWYeX>u$>`-nzK@avGy-m*U
zp>8~Dh4tuXvFpe=D9pL5ry?)+YG(eU=uaxgF@Z)Wg}s$og+V(~R*pkA@v#iqQ$0Z=
zn%@knt@xdoP0Od_lfu@|(-qtLd=+8qOK>|0*xMv1)M$ITVSSe62Kli_D_@2q#Te1Y
z1dZs1n3TPCcP(F(nnRqWg{SF?{+oKnGa*CuG?twOg@yWoFs$@%J#g6czeaa0%(#p<
z{S8{YXHYZF;=vl+>x#f>VGAW|1Qa}=*U5f`%bFA+da3~o@sQ40Lp*jvhzBslAm2k*
zJjnSfVvx%*(Qb&|Rmz(?#2M|{9_JgfjPu|(BZqqr9aJiZjth8_Pfs6L=vM4#!Sm&k
zQ<b~fQL#hjdznk&#k%4lf?Bf;WN8Qn;hA!82SwGa?r(NcWpL%ao|<t))$?$#E21ij
zWt7Acz_7%6f$Uzm#4_83*KVGmY_wS99Nx;O`tVR69^e2SG3<Ghuu7_|lLaAETURwU
zhkX;8^amUy2lr+i9r&a&VHR6(n1*?J`IysOG;@=7C3j{J47@X=FRoLXIsDkyLi!Zc
z)NECr$U>Uo9R#-6%<+ENgOr+~q9PgzVYIZ<#v}Nsm^L1zE1ov^Dq`A@0C%DrUZ#d*
z``Tfq%^do3krPI;eyF4Mt;RZ%#XptA&Mb?6s4Mo~W)2HEj*hs<dL-TN=8hg;Jdo$T
zCeFHw*AoqLyu+v&NBDjhxa*4W4Pg%@cLf|QcfTh|7b<t{xa>9JfI^Ygo^!UzKohYE
zPh;*p83myi)U#LAxc5#ag!Or+#G*e$g!MKXGU88^eF_AVoTR6y;YMj<d{E-j+O(Kr
z5?ke9D>#WQ4YsUiu_gBRoM~*G(_pG;jG*9YENp|J3u5w|R3I2cNJ=Q?MnudupTfXr
zG*L1^j(B3tK!xUjXRD<K1?CLH=PgoKG=}jC4opDyksQ}5mnMM?I$Z9$QXR?$bGW5Q
ztjYQ<gHJzuUGV?44grD`U1E1d(KBbdXTHv|Y`fD~Dryo0OwF@X;!2NUKW&YWex_!N
zBT?C~MK>dr>Y1=76KB?_Qoj`c$&pIOn@A-sR<$?{e`wGh{v7yuX%@&i7U@My^mzV|
zLDAI1l(9$?DO#1WNQ$INA&KP&<(*VBnnrkAu}B{PltKsnAYHKz%2yFOXos$gO-ewu
zyOlVTZ&H4&1Km?Qp>$InX`Y`2j?;Os9pB`qb;aKEO={FQdZ$iv9iR64pLEx<8~g?>
z-ak?^j?Vc>-0O<Y*}@h|;}lS^;`1rluin%+e?rjV_(2Jzl030Okc{SDW<N&z_YK-x
zbK%d~KCL6}O*@du;~}TVc~q%ia_YgF9#6;uIZuzvQ6tGOBBw{{Van<8Nzf^&RXIH>
zk}4)mH9e}~rxD)P^mr*cB&Ns9=!&ODzUt2OxOHEpSstRjbwiEO+Egj)L6xHuI7uxp
zc7-AV@x@sj{LZI4m^4pU3wlnI1qGNmmLjmgw}e5L`&pH8AH1n`KUVLb4SKXSl|D;X
zJTSQ=#eqgRb!gw<)J(Hns}72NmFkZ$&ITP^wd}n=rsW0U%W1hEL{nM!Hv8;qFy-y0
zW_W%#akXmIo2PdZ5F5B{f<gngSLi(7L1<qP3vEOY?Cq!&CrRvZlf5b5rErt5?i<nL
z-H4{TqFkI9F?`f1@;%PBJPY3>37M$;JpIbjXsuqvk$bd3y*S;h;ba6HfG~l5!q`G2
z4uX_<Q1c`h^DG#(nb>xH&3N8>2-ZID_aw+_mPuBH4oJ4+w#5h2;hlyKci`9{6^QNs
z3nf4mv&Ho@LITkVWa4Vo26?*MW%`yYp5zN-rSbgG5K(Jrs6d{zf&6}5J5PBD$k9|T
zHfZCxd|~CjmDVeHWV$2=pvbX$v&?=$u+)(?p*A^Kr6dUxg`N8c8|C6uY3Ev;5VoGq
zK@$hi<*~DzPJ5)y7T}!8>50Pr0okTF9vLf+|4VwSS(+!vkAU>9SWHZ(s`v$3)5F9%
zr(Jhcz;Ww6i&M=}N{Zr0ZLdmWoZrVsxgs_3*fjE4kfTnKav0}uBK-y3+JO_7YIWS$
zSFSbSgT!cVAW6pP#5A3gLT!qfk;l0?Li4Ot-!$GoKV=1s`M+?+ytj6R86@6S_#tiA
zdBdiC#_r!ZHI20JkEo2Tzi^hP2HR!tABo%{m9bfV{&W)N-WvLVfP$Tl%UkhgKI?})
z?Whl5kL|<xYZCf!QD`65W+$}fTfdFUAs8@|G_AziG$1pbR(>UK=TKR3JZ7qZg#0Ix
zkl;rMCM_XFj%eH@`Ba00y|8mFPG=-(bcycv2AmZJLA4QwWaii7l*z!UlLO*Z<c$zs
z&XZM}I5jjHAKb^SsR5K<IXN>V2F7{n-i9?R)mPThSDcT~S!Yu-p&wDI^>1qTG%xWe
z{cmvi9LT`sV2)O2!dxG$xAe7;25CcEl}}+YRqB`ed9qKTUs_nJSM&LK@)tC(ef8p$
zP^z56>r(0MPe~2Bec00jpibz~b*G~_7KoweJ<(GePnh73+d-2DGNxj@>dt6Z2!D*R
z@3xdAIQqO(88Rd6Lj;UUdrg!{=?giEU!61O)C~@T;=z^9sjXBgJtJL17_ZeUyOA1n
zLZP0RXbMw#V;V;q@LFR9nVLw87t85Fis2-z5Jmpl_8a6gyX+<n<>wI0K5sY+UfFfF
ziwPT#f9X0S{AXg9SY}m+b*b4+88z{hWZb(l-ZVQzxz3bqDA{wYcQy`@_U=J<gyZa$
zbj6M{zUq$SY%?92h-0V6E4#D$%!Js0w=B~kKIVIoj<N$|r)P2T*+8>1CnhTYRON**
zm4I1nMjxw;Hd%`(luf8-&b*~G4EvTIkUT5D8ysN^@Zk7}k1~3vu6qce*Z9ij7o;&7
z6_c)<ROEOvee^y;-6c{v`<yfp!gks5!ywB4Qll-*4QLPFsC`b(zUm|RBdNF8eG=by
z6*2p(YPnNxatgzM5nbN>Xss)*H+^K1#m;JJPmqGWDi26(hI+TGEl$gyQEDPvJ4vN!
z__&ZXQv0pK9%+(!-=PomdH*WEqoj9mpxF3RhRxfkh6ri>mIgAmnhGaSeS*-}OlMGT
zg|x;9{r|xyh0uSJu2|^vRfN#@1h_5Ji_<d&;+;1tx#8VUm%-Iu2GKifJNAMe$)2s*
zkZFk?3kVm#PC>|5E`;SJ3h4$3h4Ll-(G$gy(nP7g8VUF(8u)~?F!h7Hcu*{_gz33z
z7dvfXXO<5a60bY}^30DL3jTsdZMr^Mnk^3yRp<FjWj@g%d4HR~MBSOFR7<nl{G%GB
zCY=Y+nDv*9)kYbD!SQ+xnpYJLhXs5@Y-9HIv(o=}%r<|~?ot&&U+}x4{vu2wh!#Ua
z68u;!J~M>2_uywv{+zB);MdX3+UU>-@@vskeC|kSclDWBfBAT=)`YLGWIeoYo_}-$
zsYqdr4(+F0r?a@Tw9%|rrZ81c;{5Gq15NgcJ3uPm8RB&gCLp$z;)}8Zt!(j)CG`@W
zhB7o!LNdwO>*o8pa&bccJknoQ+FxmMvYY9Kdg)02$g$GM^lr4bbYHPf$*AxKvQSRq
z4y869Em5atU*RvURB^V#5RTrdjp40Xf6;VveD#H^8x>ri8hkiZs@H4vAtY5D14jVQ
z1S%#+{}^#NxYf#$+{&!q?>upu@HT)e{iUK^1B0r4YVd(m**}*0&;X*!K+y#HG)r7r
z-9260T>{3(@Oyr#I_n>YWSq77*w9#M3jBf3;K(uHVS$iTgptY^<*OO5?1ysWFD0-1
zkh$g0Cok5~WAHHyX~qL$`9_7beV7E);4yp$*sV5*{N~nFqclBM8`?ifEOjgr*1{b)
zWY=Ua8Ep>jtu!ivMUNR8t28JvvefcWaiJOz<pF;QI@7=qU?GcVN6XiS#w*CBJiBYw
zUqM&+NTXCIK@8eZYhxh!;(BqP{s|UcMxzRxQ{9cV*on$yr8#@;Vc+=ABmJdQrKusH
zrG)Ihqk<Rd&PWl^)9~=~<z{oLvEjV)_U+S)eYN`T^TtYh&%>LI^Je`Ms0M?A8bi$z
zasXlM&H6{-{_3;VoDa+{t&fj7pP@VEGpDN0G;6hq#$csH-Y9&g+?<@iCl)n}BN#<U
zusVC)QGP#oa&kxyPYwQ1V~RNBZvWWEOto3uKUA*lE>GYe`1gp38nONo-rzkXcX+=7
z8^6tl@1cnr-2MW!{iEd~h7brZ#v8EAD8$=)rl;_Ur4UNZN)z}Oa^P-oPi?eP9S096
z!LXb}1(GBO-#fN6IZ_(KSe?PQ%B4~ht(`DBQ7i5lDoqwE6GO$ZG2})j$?yvQ@KSZ}
zEG85GC?O&+Cc$1v(Odz;H;0<VI;M4IhGqB=*rf?c30A-=Mq~C42(iFjc2Co7v^K7P
zETCaA#;-4=o8sC#o@SF}C>s7Ey4{?a0!Vkv@`G)S@)>u`7Wg^ll}pNt`~?CSBa)AV
zW=spZT0gub#DQFCz=EEA1*Qe>4txvIICu5PMpZ0VlV*h8!GQ(W&93rp?*g&|FQH;K
zhvGgeUbF<oom3olG>QdOyk;qiSt|Z`8H!I*vF$h%JE-^zDn3ia`NyN!K*f8h_y862
zPC&7Mip$BDz6kTn48oo#hp@EJfY@tAu-RgD-WFz4WXl8R!ij+iu-;rvGQ7GQDY)TG
znkMhXn7pM`x6JjlUdPtYYlw1b-F)mt@KM9o7`U%3?BQJk3>5t%^}KilG2yJg@RrRt
zZQHW#88oa(UAS(k)-b%=fjQ!)dkCgJuY#WfG=2h_9s?DZ+V$2^v7L%n;$5|lD4Eva
zbgRTE3v)~%6oK9>?MJpwWIQh;$edD{O97f1;d9$)kQxtWrpEhRY7kahsc}8sZJ~zu
zZq#m<5Y(i11r>itMJypQGpStY%3Lpq&cDu#&QH7Oq`tMH^MiCZ9-YT!;OpbT*VLr<
zdsO@t6|v}?TNaeKp4&!)g!o2gLOkvgg0Rv`h)>epxg`WO>3x)n%_pI_nu@beMiEPr
z%$zzm9R91!i2a3&Sn69VV)Jx29<d7yhyMsjvLyH8_$ehfJ%Qw22o9$vy%khkKt(J%
z=av}{0EeIWde!A5mlm1PmtuN59yJ2<C}E|Q5Nqh}+!BJC^j1>w*Hpw3;vn($y3FW2
z&qXKotreZ0qPy|vJT?PgF9TmwlitUu_$Ml2(Rs-6_4Szvaji=T!b&S4zC?HDmJrmW
z_gN}N`%sjrc>k#=K1{_>KZ+6+|8yFP$EfJfqd1d_pHuNGD!zXfil0#N^Rww56)!2E
zxQmKUuR`%TDz=@AVmlS*44_y;#mA}mb1KeXjbZ~8ucl&_io*s`97)Bw=b>0b#doRr
zAr))aqPT#HbJw9*Lq%gfiv3jl>G>!=Ma4&-hT>1C_@4_<%ts)d_jM}%g^G(VM6rpA
zsf$odQ}M11DBerOqZgxioQm>B6q8hJ-h|?6Dt26o;@MQZ?lKf_qGI=E6q8i^1r?vA
z;=IdIoKM9UsrU*NZ@L1-+o<>n6+fe*a21NxR6OTu6hl<J_8BPNNW~*me2t1fxCX_?
zsOY;EMV^XrD)vxu{B<Z!q2k3<+)2gXQSoIeCbpuujfy4LqgY18EmZ8H;xknI4Ha+M
zhT`p14BUWXEfpW7;x}u!mNO66k~>@pE3L!zLv%NOxaN%9d^O&-^np9@Q|bfs1p2^Y
z$W3a}dk+<VL&a|vAzqr95HE5GL0D-e#9z_fxg`WO>HR4cFT+BHcQ+N!-Hu{}ijPt8
zr&Rps4ivFuI!M~W1Fu*7l~(z>A2kBX7xk?b**~JY@yNFP7w6$^i|bFrPs#Q4MEWnN
zN$+2%IPzIZ=se`Kg^y<@#K&Ah5LQ|V@oOM#jtN0cdOxFLJdqFwiLbws8J%Bt(Mf%4
zMdvWxjpu92f04-7<iDUMy_>1nOGT`hIOO>HN0|xneU}h~l~zJb(cQTv1U2dHrsAhJ
zqxd-$|MwOYu_QT29G;t1GBT~?UWgh2$xVH;5c`I&LPe$j#Dcf?WqKTsVat*64!muN
z@Ymp{6yfwlIx?t9@3T~Vn~GSx9&)UHR%VKv=~9HSVo^jA;u~~#ZV5q6dXG@C@75$j
z93%$6EHgScy6B|7wW9Mjx*Ly9%aM`D*W}2cCcWKM+(pH27GLkoOo&@uLJ(G33GrgO
zJGX?OCcXVs9RC~?CsVO=CyF8!$37Ru3M%f}g~F%e3%`TnAE<cW5Q+~_asL>KcTn-3
z5{d_@Si2j=1yt0_DE3kDs|t#F9*Re(c$|vedr(YL@l7heL&YT%C@!bsgH(Kkibp3=
zJWj=%swmz{#n)>no}l8<DHM-WaYh}**;G^-D5_M9Hc^zRcyJoUhpD({FN%Aqc!G-W
zQqi{`MV^Z5XHeWk#mjC-aW@sqpO4~1D!xa>kEwX_4ityK0L3LQM6sEQWiLW;A{Be6
zxQ&WOsd$`<nHQsY0Tq|N1jSWU+(*R&RD9{BDE^U(`7cMYkcx}$L~$t<4^i<4RQx*?
zzo26LE);vHxbzh$uB77k??&-KD*l6tUr_O`dr-WOiep}h;&>|P^l*<(829KXM30V3
z<V5P6ao(d0#~x)t_9%g<M@dFK%4X+L#ygL4jChoXgf|59reW{Vd-3x(YcTK4JeV8q
zU?!}z4(5NLyYYkBa&yqeElXQ4;q7Wm7r8m8Nsl(@c|WA$H;WLj%}j__yM!RDv=ZVw
zba!qEK}~wJ%a9{>Ij(uyKiZB(;y{|CM=MPZ+@h!_afd?A)O#Xg$G#)pLr@oDmnKJQ
z6FR(!Up?Nrso!1{XmOGHDpy(_XrDttC|vObw=MbPFh7TYxY645|8MWwLgT2yaN25H
zHkPWzinO+4Z80tB)}mBN1+i*0v`K1P#kcP4?qqjnZ*g}gHNGfH^(7!^ts*G;B=}fR
zRD3FmuOfm%@q*y9;DdNU@cYg=bKA^J&U9l)=t9|&x%}tMcmDJJ=kovmp}X6Kh2ato
z!iJ9#youlxx#?kb{dIZ(J^tFz(D9MZ`3tAu+BIvo;Vh<{Q&{jwx_UnN2;7aDHU-O5
z9pR6H_*vzgVj4yG_tkKxX&p7(rabx`E*EYSUQh6^^nF(PmJ{7w{wlK)e$k_Zp5LtJ
zCY!E!!~Q~N^=zp7TkE{ZLiH?W3OV%s)XqLOZd>(oUqJRFB8uTJnKAsSFAPIt)BD#)
zSoHEn4@QS~)UsJBlD9q?D4SHZsC#?j{U`?iX2#%eT?{rXDF3JHA3b$y8hy`mt9Ghe
z0~efKA#K`&>uT!BM*zd^ODWXRV{n748Nx%7u3}fyHT#kgh4Z#Iyf4t5+i%Ak;kkXb
zZfQh8O~aBQEGwZ=_hyFRur36iMmgK?M)2kIq4PYtZVW*X?@UKuK8G%3>1gz&6w3Lc
zFBwtAn$C>s30+jzt9}~sj0-J=Cb}p}6;FrJ3egmt%sVz*z764FY#@0>n|70)iNZx)
z7}<R8459)UOJN{%l?nLU2m>(N^U{m4Xq8MCK8$u3L9Cq?V(<}(;2YV>|5loaa1F|f
zHjb0IaVolvv(6*Y>n5hgr+p7no#yd8NVlQm)5p)De_48KB^nK-(24h>c)Xk$kC$}u
zNT2|^TzM3*IYa^RURm@96TV34X!O;6m!AUO&y4E3x~RrdKxnv<=<7D1fGXn#b~vAB
zZk$hb8^@yn=LNjsDY;JLILZ<6Mi2m9#T>dRrK@~m2hT<T-(^PQTU|5~2;kx!0XCaL
z1aKbL)sT{pU`V-fsd3OM>-N8A#_~5^EMvR<=3rn&#L}=_sUhW-i(Vt@j;eEbLu*v6
zp-x*u5QGo*eEQ0Up`i%|D`IHEyjr6i$uKJW5KpZ*)OB&XJkJjjF^lS%4#qdg+c9Ie
zJ6!_<A~EJc=u1I7gaZN)BIPm+)37nVfvRFng9%kSvsTH*b8Q!4SYx?^!3zx+l8Tmr
zrH8tW6_xtDG0RBJa^668cb;5il+32g0*7>A&sptO&hU%rjLPI-Uh(Qt$U`czIh$$0
z=4?}>21AgR>DIf(oLP4*h~TLlM$MW(hY^}DFORBCxs8+axY9P~iO5Nja}!wu&AQo^
zZ!_sw@CAqoLlyBAW(Q&=mcZ$tIuxN{c52LTVlvSJVQDq-jcUCI^+T9#!xzTa#4$-o
zde*j#qHCkZBL)6n9uXgTRwReoU+|K&qDWVyR1?=xv6)s>q$rPaWg8)E&ngvAeq$EH
z)S`{xrTL&%RjX7(oy>}fK*w&RT9fv(xPy?K5@IT`nk3bNA1(&F>bsD?rEcRnw7D#=
zQ^=!=69ikfCX)FnkbKl7o(G^i&>%owIB=kbC|mp`PIj`}kl+<mw5sNujfc<#jh-rD
zH0@$}2CXkcYRg8$Y`RPZ$?vD)o;K&K@+2Zz>#F`jF=vo3Qml}nbyQe0K0(6jeFdt(
zhNGYftl3p$IKEg(gHp8ZmfJB96)U61pu(jZqQ`I~hF!CaGvkxfXGZbg2}FvGLeiP>
zyaUy>x+NcabtW##ML?sEozQM7KQAiPLd_u})cKemuUC=1Q#hRSdtfv_<Ik`731ZO~
zP1J7?lNbb(GOSg`2#Vu)MWmUdtPc~OwIBx(dZ7rkbfdh=4AMQB+4yc<HjXt&TN4e^
zzMh(-!?;Xio2i~cQ*%3rsE6aapRZwz?o2X9r`Hb+Jyb4x_GGa-8<U`81ekZhOkPg_
z`PUg`S*hl_RrFo_V_#u(I<o_S{YPcTLC?pmyo1GcnRQZGF|4__&XK)Zv+Vw`Pm9VG
zG>iaYs}151h6~*U3+l~EVazy&@M+6zdbUCKPZ}0wGm7dyBZ$c`%?dj1xhm3(skF2O
zW<D*j-VMl6y<EvB5rWNSthnHBT9Qzyl7M+JPkx0^$*@>i5OPO+BVlyS8o0<r=>;Lg
zXWmh)M0AXZX#}O!>*P>`=99)LmoMSvfEyzmRm9>39)f8AF@pvr&yOH^t0d0?MipgR
z9GYEW?mSx{QhWtcO+3^F*t0DFhGt>0sA1m9GZQS<Q%Z=84rGK59g;lE=lP!E(*60I
z%roSCychiUJ%2Xr>z@R7g9P7$ur*AA-OMcTj4lhrlHlG%5}fI&NjeE$6YFuW_CT^U
zMK9<!&Qg={yB>&4nKt21HT~orOg}jpXZ(Rf-}m&kS|)?_VP-Tw&_yG`U_JFjFd5$&
zGFZ3Zx<Z4G0F51MY%>03W-Kr3Vj0`*cLm*^h^1k<Qj_tYGehu$E(8hcL|<%w-75q^
ze6Rt-92~mXr+2PZHmLq5Gpc{;q8h7Mp$&vYSNFl<u3FsP{-(!Uy6aEd@P^j<Q>;DF
zX&i^m1_tHs4kI8Odf%t3{4&{-!<o^@>!OiB0QBVb2q3(>6Yr`{Z+V9f+UaPlG6Fb}
z8Py40RAUJsw1JT5C_NwmMF5q|jZ@ZboLB<TX&gsIXK+AC|9OYL+vzI5Oa$;^W;CAH
zMI(U#9xDU{5Z>K6g6nEP$w$`U?#?@zv3y$>%h+xo+T9^yq0!VLELUnk`AKF7KGKCi
zL!Ab@JA>UFu_+;!+6KEj*VgXN5fetU#-EG$x$4~=Wqr82V?fRtUfBFGGaFygW#d?b
z6x!YCF-Twc)MQ1*Hh=XLy7bcFAG)8fVT=a5JA>UFI5VvD?v7Og|GmPWOZe%R1i8C2
z4LNI=1b4sX%`0>le0Jgutp%T05)AF`^pN09JvB)u!E0i7XRHU3r78M8-NspJGX4#s
zZ$ne2OZZbwKY2&(?lA1qVaT7gaI>F!JsfeiFzjCz39^UP35>|-U16g1Tv?vTiXHU}
KQ<U!(^Zx+_z8XCM

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.labelers.regex_model.doctree b/docs/0.10.5/doctrees/dataprofiler.labelers.regex_model.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..e4524b6857b94ceda2e761eb8eae77673b724ddb
GIT binary patch
literal 72344
zcmeHw3zQsJd8S@7(v03Rl7X@8^1H=qMz-bHc>I)P8H0@M$Tk>DqFvKnGu5S@?siwV
zG-G5i33l+NvOL@lW-(a;;hEShuqPpG2<9v&hb$0wH(3(a8y1^Gz;VK!C7Z=2hV1|U
z_fhxWs=8g(Gs5F@;&VLeuDXx^e)qrs>;CuleM1i~Tef@|{ugZwTYjxEH{n*Rjb_yg
zd(oO|v(laQ8lB!ly&Z4w-P<cgBW?FY*zC3|UN2e(B`SWcUTu4g-qBvP0gHEP^>BjM
zUmbdtPOaIH)%_uV*k66LSMo=qp-!z+_mo%B+C$!qH|M+_I<NPz7?fIdn>UBu>o4!`
z5jD`<Y0+@Yh5kD|e{(camIV7NqhU_x!Dv;z*6?}<yHjp7>UKKq+Elj#<HPZ+tW`s#
zeRZYoh9NwJ&qED&mVH`N?Y81CQ*Py0+ndHR-Dq{koxxW<f1^L<uk+9FSNhwdL%VJd
zy>__k^>4iMk}G!aYPFj|xU1@RT=+Cyt9$KTKw-FxQKr3^sJl}h6bL8Uh(dW5QJ83l
zFt9TZtmsbp%c7xLqw38mh%qqzvtS_p*#OtM@c;Sn|Ap}X4jdHV(yq}^O3|v8TWj~C
z9nf&M?p^7qRHb&_i%P8Qc>kjQ@WD>c?fU=9A6L-$)xKy<dv2%O_R3Rjw^8vmKz0d0
zcBz20<|h$B7*=D(X-?-D1;Do);2ViXfKl9;w%hU*2&3_R%|^$qHA06tz?p8g9qN#p
zc8Cb<i_HgP%WXw##r(Pt;Mv2N<)D8ivSjA;A)40$Pc0b~#moYl6HFY4^_)2dodt(O
zKoZt`bUCf`*CUHNC5C&g(SI&?^rD@8d2u3cyO+wA40l*ht3b$A6kZUrX&Fc|cvB8*
zu)>i&l`_%ZxcL$>M|sw5wP0M6PPJC)>~xUJX1xxq<Vok|7K%T&ei&aJb*^>}HXGg!
zVxkfdu#viP8;xeiHRNP8%wQ1=C%(p<Gz`;G&&Ns8$lPpwGHkghwb!)T9>}QUUJn^8
zfL5lt@cK7PV7Y3uhwB4iTE}1lwS@9ks3LzTI;TG~2>kLC)v<kBHnyc`E%3%T07(=@
z>ybd3FZ%AOLfF5@e+vSAZw$15l2$&9Y=lN;4r?@KF+sliNGJ0>HZs>BnT*CY*i|-p
z?@A+Y3y~)ox?Tfqq`-gKVEixHpRF?4yxR0>DNW0I1UIhEvWeV!t(pMOc&g*~>1_O>
z<&B=J&Lz&{V*u1Ai7j77=pY%bZlluaCYJE>NkIX8(tCZv)@v)->mT!8w?)exqp44-
zP5F-t!3@$3WDX+$mQc%UR6$6U=fHqbfaVs&HeOmM^4n_5*?J0WLT|d-oCPJ?i&nJe
z!R~+uo%t3Bn;}{iJu1?1+cRFL$GZY`JU_|oi(Yhg--V2FYkrcob`a;`F9DH1PpHo?
zWX+eCsiMRJ{WvuE5t!IdNCeN8teGXsIZMW%kH%HR+^dgteE->kZ~8#~3F!Nhq%WJl
zg7sk2TU!5G0w!cIY(0g+{z+{}VXzIlcH>z5l^{>D)*4YxXWZaiJB_L#t8keAgP6Vi
zXEer&J5rg;|N9iy3C@DfbubT$30r>HAoMajp{Zbs4w7)Nb*XVeaJ{{U;!v<o27v)w
z2lTvv4~`lzywOgi4F+TNWixjg`@u9Vi#AJP+iZDlx6^DZQY>12wWRuLgX+7jR7cC3
z31J&Fu}b!G0D4BE;aY>7N<|&6LgP-*!M^CT{D7SlP;1j}x85lqck5kGCo4KF?6z9X
zcBdT9y6w*0-6lG)4}u^J-XW<qP*%9cka7JB{x*!Cn}yt3QR*CZ(bELq8FXJS8buqU
zITe7b-_tCgXt;oQ_n+~HqczjrdYyE-{}9Ufs=pn3Kd>CAaZw5pD=>4g0&bfcnGmi>
z$-hoWplEWh3oiYn!}P}FUFlk83JP&|8_Sbdau>~G36{ZX-bTz;@gsjM_^dIfzFhFp
z?m@c+_F7%9fd}E%6($e9h+VO@`KtUQiRlJ`JQjS}pjTJx5G5c3fvIuOxZ_OYYV(Rr
z_a$Pw;6K7Y2_3BPT{KLlK_#DtSEPLKb!a&j^wN%43+;Jxt$M9e>+~L^0w>&d13oI|
zMDV*<Ikp%4hcq=&1UzPGY>$?nYlMq}xUV~<EKMT<gycgAA$S_6i`G%_Y5d5RQoK;k
z+lSGwoUxC5g{9~Vp2Z%=f@gTg{`S0qk0lCvDuSoKwo&WU+<NUE&ms4Xg)t|DKFE9@
z<MdO8({n{}3Vwn$&OERZKvrlQ!SKR#4asUY%7*VILLDO!crjX`G6<eoMeIcXXaAf#
z+p2pkDpqbm0M%<Z!pYG##VN&i2yVP()PeubxoOYd{Wp~_K4;Q7Ob^tDqB^|Znf>w-
z<>kc01Qk5W%JbGQNo)NQTkG*lOY7L#y`x<AL+}|!s$p?@1{QLbv);$EymbYwhSTsL
ziW%ov4Z&tCy<JT77MSSu@PrJJ(RlupS>y8?tcGGj9kOS^I^|LHsgy}fOrUs>fH(0%
zK#MrSge4|RJjiM(IZ3=F_=n9(utg<*OOkvs6=|>HS=a@w0E*-I&w#VA3F_~F`rWDE
z9EGO5$WIFJh?B(^4Vc73gf|0;b)qmfCotIb^nH)=)%f&%AH)|i0<U2R>|X!^BY?o3
zECduYY+TTme{^7Y{ZdSPTn~n^b2R0}CH%$5lo8&+M)-yzBP4Cf<>?w2-mNq|-AFPb
zLc!UrABKcg7YA#xs9eX0-!(Zp7-k(@NktW0HyTS!O#5l@Tw;XC=rcdZnmdmF<mG)8
zm$g7Pr)4BsJ5_I1j+MzFNys0CR>1@D3P%mV86$qEa=69=agmF49*AG0@xZUMu|7EH
zSl7c?AArg>BNy%Acd&jKEOs8??7~Ecy{OJEC~z*wK?`S>bE&8@1<UUh3<95GLGT$y
z`ls=qLD&Jc5$nr77(Q;Mxa>vsabpK-XfV3&dO#>!uTgPZVYiM^0kBK7uhJ~JFogJH
z=fX*+ePQX^tIj@r<iy00^NyT<Wc=uk3z=zgA%sZz`^nO^SC@`VojmLu-Lc~&d^!B)
zBPXEnc}Gk5>FCMx;PH7_QCJJQUfPyUn!rEnbv!BGWRvoZB9mfR2`>lO{*=Ksh<>Uj
zVYEXy2z&%cNylz;qGJJD%9|LmA27tezW~Ix0b);OA*L*(L#GG`5O`Bh-}eYH>eKhV
zA6OOs60<HlF|q8tW#=ygW`##6-5&vFRmu><F4Gux*$JpX47*G+ELM(}esoF(G8X*5
zB6FZ>7My^8pb5yOaoJoI5hd8ccXD*VMd*`MG@ki@WF-%erpVCKR}Lscajmk>?4#i_
zlr3v}QC)^&2Pi{P!uJUn1bpzqm6Y}hZpMy8qti97Ud{F=hv<F66u^uhUe(;R8@)yD
zn2VLJK9WluEbFmgZxM)t>#+1#a5etJLW$gIVuP4!R_7Cx0-<ZCAP(tuvIjYW?zHJC
zGs{2bmgs72H_|ELhTINkeB6PIfskdEgifdFbbPPYc0lYwK19{2L0oeNvIm%KgwXc}
z9t$i()=RT7qYxY!JDWT@Xgt*c^l}3jVX!T1d6n99t<rmE@Er&<P-rdqUl?$}2yIYd
z0GHt(;Erw43a1py7n(49rP>v7fRy94EZQUn=*_l#H>`!~5S4Ar)LqKpUZVrM=y(ew
zc#a6pE}GoaOo=?w7N@=k6}$}^4np{oiWlx$1`@30JNjX@EgEv3zV9Jp%a>ZvFx?iN
zpO2>`FXXMj=~a8P${i5rW5JO==pyIb31y(@8>wh;82-`Y6!AK`<0@dccwbdnM>2KG
zt=DlCIgp9dZnoMrx8o^!I26~!*RUS}Id!AAG{dkq1raT!QOF^jTw3Wble;gPbV~aV
z9lH6@uH8GF+Zzz~hCLRN5MZ3KjG>8HcdlIb8Z#Y#Cy14~a-%z2uJ~>{+zIJOvt@5~
z%BylKtEylesk_o#Y^aYUpU@iqeVnUYzCkwY3sLb|n($Onfv?nVOi>Y>R7cQPFnrBu
zE_<~jKXSqFRU$9Ds45tO_d;QklE#)qnqc?_l+8wm1cQVoAs7<KWC(^txj4js^CB-6
zp{f_XUCDaE-{S<11<&F?xwsGJQ8g#efXV_9h|=8;_D`0KiO$Qtkbrgb6^;k;b2g9{
z1|7(mFp%e=a?U7(7_-=E=`XN9ouhG0U|X9EZfD~?l%v&KSW&dl`q`ydvZAl1qQO=0
zk3O5FV2|=FT7Afa+|35FqhQkHcR4R4+b&*JfV+f2If0d=K^gqA(l57a;)Q2R3yAnj
zuxpEuK}z;osL_uhIJ!t~A$0B2dl?KDI5Kt+ct-6&Nx}Z%Xg?;TcFHHb+Kk@`OFKZr
zD;e{tx#>!pr~}EiezOX>!IMR*L7KhNsh%mU3@v(eX;}p(*_0xCm$49hPdtduq0LCj
zY0#?z%;VQkJ~DSS-Yx5_H=tn-uklo0Me|nnE%}f7AJlRPL_!Lrod#W5_ay=Lhb2xc
zN-UMTZ)zcA(<q}1ehmk#<u<pus7lW!k|`xzwtyc*sYdz~JR)K2x1*@qFlstov=Y*I
zj9g9X$evt*S{MDA9uQy?NPNzN_adR`fW&eqXhJELXB2!C9nX)!AB}~APr;KsnWK<e
z^ic47Soq~xi-A(%A=`*g4dqs}Ii6rSJPwt`tS99AhC?Vw94@`&hQIk(PFC<GHvTX2
z_Jx+twmF4ab2rvtSsY)G#96Baj{)U?wHS*WA;fZGtXVb}W$q3$VQMCF@$BB<FQD6K
zHE;=8xWRwNuasD>d|%yYvU5t9o#vOxa^uQkd%%W(k)%PD#kG)ikAalI)x@QR)CBJ?
zQ$cXuXA!}FqHvuc9!Z!4pAJ$p4!7J!)eR>q&9*l&jb}$Du7|fb;3qsy62F8~8*rFw
z;#T@+rvt8DYkmS=x7+Ug(Vfne+o|}F7JrYY96W(&k~nv=(+U0Ni83V4P1i8GkC|~(
z&1N08NN#ZJA#`@!Yfm*psLmhX*6w<wCS)pk$&b~<Y6%Tf5c0cZbuzGi%vm*^&+V$=
zN3w48n@da&%fXW%kCnowUOH3D6@Q%YerWM&=Y2db#3y9`19J=Kk$utmWn>6MR<^sB
znmZf}K_w6>xpL!Aw|9`9$ILrO<|k9vD!odE{7s9wz&VmhV_=ASF+z#s_CcySno8QG
zY7OXt&4~As&lK2^m=2kflE|*V&Q59ibnp(6V2r5((~zbHL<j917l+8&_kh5y*y)JH
zf*<vz;@U@05V}{W&}q8H=(cI^wm5K>o=*jAzhbAqAZ+V3J#0YrZhKe7p)z_K5FR+&
zk#)-BBX){y;OG{mZ<EwUQ3VI#8NzX_U^&nNQax5seQg{rBx7|m8e2tT$m%0~J$>0e
z_VfXLkrA0o^?cLbK{~j+gA~<+Z!%QRdU5FLFj{~dmZZ3hk4))EeBWp}+snvuCJprw
zca)E1pGu&btwEl%6Pu1I?;r`uN&w7Q#lyoo&I?9^`WO_5?6vy}JDoNlj0I_B^$bn~
zN4cdq%C<vU7h4GpPC_&02}OP?E3mHy4D+ir*n+R*o$Rwy@*b0tz6Y^5fd-y=1>Bi-
z7cC*)HksvxkW0SM7x)qDxHDw;9Z)H+l^xhSNasb~K?;N6n+#F63cXb}?&NA_FZHqC
zXSB88<;*(Cx1LWDhDMj^%gv5Pf#vo=>wvAxtuGDQavP#Rg5W{^O$Yzec3K8laE!zO
z7u?IzVjhWQwwjj`Ba`3tv3=D#wv0vf6=H~duIsn#9i%TR-a*Qu!Z(YxsQ%7q%iwTD
z0Oqt9iY%%h5{5>X>5IyaMu9~&vRVgE@7=nn`qH2+s#O?<6P(As=xjG;r(}R7#Rx32
zr23b|O^`UA7c4`g4P$4)LlERs!b9@biWFf^aY%jelh(njXEpNj9d(jVm|q5+7ufPh
z8-5I2@C*R4*jpZ3lEG)W*}<lOHani>fmWD~<YtF@q<Zh3R;xZw$yRN;txcZ)E1jry
z;Qly%OpsEocJS;*$Z2eK;pjTu+9h{L7NaT23&CB;2V=pTbF%~ARawG;Wty48d_Z7#
zT_;w_9W^jZ_qE~fG{|9N+aa)#z|QYtD%>pY1mLA*Vsa*&{cgn<UmZxYblk=$9Qkcl
zFjuY$$)|7|-#k35($uPr!X;}SR>rI{7xK^A4xebqs2k-Mu|f8nGgCY6H5}JLY30Br
zYGevHxYN+V1X8*khcfY~HP+#Tv!`Akl`V%3+=L~o09jM>&YpvB!h7B@ea~Px;58(H
zkFku))<HsGgCm4)0T&1tRF2KGn_U=I+{sQFCYEe_tvcL^RizP)Vi)2H2Fl!Z=pqKe
zum1u%B-6l3{sn;^uk0pU*|SAgc2LI}>|Aubih|1%$vUO}$wX>Gx=5E)($*!h<Ws)A
z2&E#W=&e|3J6DSbK&zx=6$Nidq1~1`8(o6CEl!CplYrAvlzoo5>$s%Y+NBJ1zTTZ~
z3oh%#@s$ECTeR<{&7--8tmZ(z32G&i$sd8IAnnqU$?=tDuo^ako*}wM3|kma@dJIr
zK4Ubin{uiR0ZKz;iat(cW*1e>4R)VK&J^;`LBrW7QL2T6D3K|eKqw<qG^N~G{TM@n
z7WFL(n%L|iHgwE;N|`1e3m)!+D1y(k5Z_Bht!d-Y8{*KfQ#!b74>5nW>2WPH3)dlb
zK$z7+mKRQ10m3QWI_M40nXb)&Vt~^bppr)6d)vFaTLYcK)Pb=+)R3|e4{`5CH1ThN
zc9n^<Sty$eL^k!`5Duwp1z)M%*t4lu0zhJ!&}TW>B+~xbXe^s%Wre&z#AO#%S4i+D
zP&jWc_3|}+SBL~Au|g8KWUP>sa(fqndnB&WVzdV9%%rpbI{RLqc`3Ngt~O(kc*N<1
z4_TRDD|TTc(K+EZI-z2zqKPJQP}0;*GI+@sRq};|li2ifU<{S#vw5%o(%KDeks3-p
zf`f0>o?r>?$UkODb&*Oi*JiK%=lUWVMK%rv=Xx&>ggGS)x{^e_q3+J0oUG!Vx3h53
zww!x-2xoB`9k4Xu8r=|`0uZKY6E5Rve4gcZ2^3AQYk;0Ttp3w`R7`L3$Qr)V=GJOu
zDB)*F%%oVfPW5r4xooNx*%=af*+mDIopaD|HacWoNN5tWGl5Ko>`W<lQDHujC`QHW
z!dfwD=)YF(?1On?tyr5Bry$;yL)!8@ee?m$#7xur<fkCsLPh&KF7niaSXts!ghZEC
z)*lt(QGTrU53y1omn9BbL>Hh7?$o{GaOt-iV8Eb*sSrS%<}EG<lDh^l$2W?MmyTQf
z=N!zzrx9^k<Y|PTM!>@?4m(-K@-4Mz5(S#hXNwF^c%VPTO8KW#Ie%x!N0>bJQYUKJ
zh%QzaU%2sZ`-ry}`p+cI`1AeC1$@R4x<WH<mmK_njR;zZ%vpOSp6V?kxpF3xsou=i
zPEGX=z72t3dLR4`{Inb9EO=6W`k(MAC9Qjb=YMXhH{EJ^y4{?GAYOQ^aAr5%Q5hct
zx)Ng^;`cWCogSLd`(8kr_ZyW+yWS`q{BJ{)(x1eT3(Kc2Kq0f2{9_{c8?B@9vP6BE
z9H>9k7v4>|7oJGIf?ov)Zj`m64=%CXYaL$rffPJY5GST@FyAwIX+G9LIxL5qc6`R3
zrXE8T+=<N?DdFqX`DadcoYIzjSyD2HSM#c@793&}-*w{ewi2JQ@jMHa0JmI;Yj3l6
zkiPNEJ4o4h#y6UU9VhIqgf+rOo75`wP9OQhMoamWiY3pP`pCEY_Z|Y!=rMiQnL&{)
zz{SGDtjAhfv&#OtD2p4aX`H8Ts22Re6kIAv;EOe)&(I$)_6!vxCf`(kAs^=A>{=S^
z@#F^kptZ%`$bChodJ+4%OJ7XWhUR|G4}G_qOE-a80KtSN+|)ta$qt$baIHmnj5h2N
zNAB`hkQ^F(AE_A&zQ>6Yrk1g&mDLAMAl@<X5&`?WG1#Ym-|M*|APTSJAF<MQt~WFG
zy%Z;MKUaWGiP=))zz=P>7Nyyq$L(z&gHN!tJKyY5)DZ(yXbsT*am+-_rqcJgq-qtO
za=NNrKdP&)Y)(<#kiUjeCU?3<pskFZE_|hFNJA*=J6*BT+y=Mug94QdPVV42Mq}AD
zD-o!(h`8*cY6Pm#{?>WWa5gp+fs()^B2WojG9pkZ<t`nFQzVknVD&+`n6$*2B5NmX
zxDWO?P2Baw^^?=}{4o_>w3yM+LR`gTMt5SR{L9^zza3wm(I`R*`S!>11B?_G0@yme
z0r%~NU=|9;UWxnmLUl?2Q+)f&fn50I4Z0IUKgP{`dwkD)`$zB-`S$eb)cE$-hwgE&
z+-VNx*~_avt|;Wwt9>rOqaRmHF15*|KQDjzMLi$APOT#xIQ^j%E+nQu0~4akd|me1
zUC_s5-RJ{L%v;xC_=Wq%UzNzDIrbU8@mHWyUf=jz_72j0W8OiEZ;WqLE>NNYv6?rm
z0f@M!sQte)TGIJR-B?g{`QrG-KO_K+9@Bke21T|26#g#y#!sX*t61lvEc(Xrk_f(p
zNFe9wzOkZRl7Ob&v9fioJ~zhr6hg8P4L%MbRC+0Y4zIu!E1RMJ0{O;i2*fxCp8!-A
z+f6+^LuLvml}`nEf}g@!p$lpIBpqLHD<~1o6U6=IOg}JhaVdR+D{)@Of-7=QukZqw
zxU40ZFXN*E?mzWD;K3pg3Lo$QR@yFD12{Y-_fhcy_Z9a6Q3okLV5hkN53rJZh^m)!
zDbz}OfMs}^;Q`_+O%E6%s*ndbXEc^AxD*etOT=XtRb^Zu5AYsnI2#-C03|R94={mC
zh6k8Z?vlP9V3JRykbqp;evyV`Z4fFZ9kBq;^8SwW!CmqGaOLE5PHv>4i{|}(4w_Th
zGn-A2T<-n-d#sdyp)2}1apzg={e7hfCFK2mnV_&!%-w6GxDdeB=@s6e5XptSKcOxq
zfGOVJZveSA?+@QI@9#(WiM&7hbZWf6J#H1Qig%~Hdf`o7>H1w($n}#QF2L`*Ua?_h
zd+f*FX$u!F(t^9W$}ZfW1+g~gB;BGYe%w9tR>cw7l<)<WCsN9gBe;5<ZEe{d!IiS^
zi+8dq?H4sCl;Imb;044XeW7J4Te%HnG_J?r#oLHO^iCknzv(ESDUmAR7`_rJ<#h~q
z+B-;h40#7Bjv>BLCGOyk;a;PqY)Po9_{DJyuOR@99@8B|21T|&70w<yhTEuFg*jfC
zy+#wvvYM9_>>|JG4CC2hOCN;G2+Ot09@;xdXBgf=3d7)=42Hpjdt7jFGz{x9J)-cS
z(V{VpIs9MaS{RC2<lCaXp8=UNPJE+{Qvv&=nA7DajZKjc8MTbDq=RiI0t7=6#<V!X
zXYGCGz;R)51U3v~Wm)+*1$M@Gx$k`WrghBL^YV5U2X|3FFE699n21PU^mY7{ost30
z%QFHEJe65YN~->4F@zN>^I$6yy$B(!W$X3DVz9kJbe8O280)<N<0ufqN<$#VF8DcE
zv5OtTdRdzJC*xOa9w@M~jPnsNp#9Liv!_~xlhI_7h$HcIFq58mZE?gn>R(WDa&Q4o
z<XCWC?)elks~7Di)xKsSp?WqS&@Uuhbwv^Mgco}mR@%;2WJbzD@uRx0X6zyJ8XDdS
z&M{LSp5+JonH@-^bLx1kmvawO;CeDc4)gc6+(TDGHD^JsWEkrfc$yK$!dIGdHZ)|R
zFjmcIEL(UfVXSE)F1x5I=L&_fjzPoO*iaZt0+R@1C2+|IW2Kbak)JiBxQGf=0;yv5
z8jIYlpw;X9po|m35AVK?irNqFR=7zX=lMwK>5Et{7GXb|hU<ea9e3bni)lD#HruUt
zYU5O86!r>2C;(Yx^b>2cZ0bo~Y5I#SAmJKFB*{bnFbqNE>TK@HW)N|P_qPZRuvL;L
z(eRbpjcHyMT0DPXG?q=XvUvUj5tm(5T|B{Cp>W<aynhH~v$3JYBY{aQo&+u#izlVr
zp;N#|k~gAL(K;+ga~%Db;|Kc8TVgp{n-pi+UX!C$9ymoMnKN*@n~E-4Wcp{&oVsYT
znHNFek?Eger9L`c*@DU!nclFW03{TeUJEsB)-h7d0Y-`o0c@XPo|h!7uR@V&VF*hA
zQzFxE1#)eXX?)Kj)2{{$SY(<$otnt>Yi8gVhv*<p;mEXc+^AT5T6UWmpI%~NTZLc>
z+gg6;;#$RVlGRECR~diwH9r4@#~2UqbwiJSnCPe;iCVx(r$f0Hobbr;q|-rJYl&kY
zA8{Iy_=@<J@<gg5GF4nTy0kF2eKR3OCb$cmF#`7+jk#sC#AlmQ->b))M&ky=IMhe_
zKu%Z(l99+2LZ!U%`upu2q(=mK2PyF}e52~2!Q=HGFj~siXsS83IPv=T5r9UI>7haf
zMYfs|YYyY}&9r8f;FBneQLr>F)DyY3Sp|yWabi@E&Qa^^^_9g2nRSvcxcvmdp`OLd
zzV7@l?S!VYDeoW&#fTKcMtuDH_HLB9%E@#}PlJMzef9Zsc51Dlq^w<pOIy3SwiHG;
z>a~njGYAp6w-nB>_nl+978ciK4Ayt?ixYHdYdWqR+z9xe%D8T<KEa~);g{c*u;!<z
z=mE}<sj+6oG1>SU_$|7yJ4K2Wek@F=)x>it{DOVRIb*?|+zf<}!4bINbx0HYJ-Tan
z<$k^kKgb|P1C888jU*ig7KyVQWVi#mWDdid@Dru7(5DQCfs+e84gA}4Hz3=@KN?=x
zbC5YL#jYsOd(Ctln0e=04D=fe16>&keJtY*fRhgXJq#Pf!Y)@+TT*`sZi7i7KX7k6
zmMlkhY1_(gcDuA8>%MrW9a48Qj1ij#^SL=-HjU`qbu_~|?np=g_VeyE#fGMTP@<XU
zA!HcV_d}(;hV}dG9i;0;-a(3T#y6UBj?;cNnY>G*FPU*uGy$=s0mNfQ!-oFOp+k-I
z2G&VFYv+>*K(kH2C+vi#1Ijx{nt&-sNB+#-L2)DsBzh!)$Ts_)veRh=B89WCYmKvV
znSK9Y)H2v+5F&D$eM6gcijBT=Ow_{6J~mmg<wn~>>F%L@L4#qF_t%5Yv5wiANz#{w
zVwohD+9??zlY|jy;Hk`_@Qcxhemn4;&EOJc(T9#TW^f;}Yf2`GRPAZfl3wZx{8sDW
z2RL5FE)B~kEpLX-bBtZM8)?IjK@MsF$zr=3>V+MKS-^b`J`-f$ALBA4)xKAMfZ^5r
zCO8)kK*9aRaF2Iv#jy)AFh77@bs(<fM^z_1fx#P)(;v*^)Q<%xa&rK88J4=WMpMz@
zqxyv;phQI=6q{8KVx{eZePA8f&r97H8-q^iCSlxbcfl(>1l#5CbM){_({N&nE?klP
zl)7QAnw5OdTzw>YhHU=d&OKUnYq$-yk~t?Igr}e;)3(j=m8QlGn@8U^UxkneE17-K
zss4SVxojN^Y%Z>c{~VE*T~rO470NpKJT#n*4sDz>X!KFS@9y&HN&EuuHwPIXhu?}U
z8GXFh6eIJygY^5?1#k_%28Ht`Bs>je2f;PlIDKxA@o`+iINf1*C-_F=>Wrj^lyVcO
z0SsMXTj!GhqoOrIE13PqdNwO}=-<M~Y|0#$72own(U)`A`vEGtXlVtd%{u(qOB>1M
zX$9wFrTmh5OH!wcRh#xIo~E?7Fcnu6p_vj8E`u65rvk@TXez9XAdbcf?OP}TL0C@`
z>SR2T$pT9}5oHC7Cstr!ES^Z8GUACm+%_TZ<pc$XVXw39?Unqq;lsJ`zhbyYtKlb)
zK&ys5_;nTkaJ1L=>aD^NL<;N1SDjv5=xiMJxPa)PYS41x$FHHYZ#>AdfQ|c;xfxYB
zHMns<Cu>FTd9f}%Neu%sq-nQ2-m_oDp0d~|`yv-GSx3Jvhm#hEvqwZ@D1v{D%@{lN
zD@r?<Ajx7+0W127X>IBItxEcnVE|xcE#=6?$E`!t*2zfQo31uz-CCok?qDx0Oz{!u
z-zL`h@P)gWhCnR6f)H9;Y<F>^5}PMRL6-?Prj{gUlcUt-liJs3J@-bCJn#b%VWnMz
zpVD#b@JkWy6eQ%vZijSFbCs3rCipX?VJ!GMCq-xtt8&K8t0fHUpT@8z@9S7JbLOcc
zhzWD%J6LHumoOP8AC%2VMNA~bLVSMz$3-Y1BjtZX4clr~>_wzFr;+kxj#hb=q?jVX
zZn11I)jpEKH$BC2kpL!*l)jsuXKWEh%69xjo1XOP)EFuIDOtKa>$X~$HeV`YZoqFm
zG+SP~Gryx3O%|!hu51^bW*RKfqc4`qZ{rW2mMO$Gp-62FD}E`tWi$5W*;T<rC@B}d
zj|e2?ZSTqxDGJGixE#1b^%1k>piuZ|N9~riUJ{_jCe?Zab7or^Pj!TDkYg=wWW_iI
z`>`1^vSO=O`9+Lv(eNY%Xbm6!Hf!&y9h5#lalf(13C5w(#WqK>xl`CBOMUr~iE<Ig
zJJm!{G}XmCsxBlQgw=_)=+`kJ09tFa!$WWakA4(3POKTArew&Vh2+8JOm40~@G<pf
z7uH~@H^<}<vlqLfg#;qdh~(jzmr#9`m=;<iq)yr`qW43m%vpW_Kan1yPZ@fM6TFb*
zn``)l46KB97gs`IruO09zeT=pHsw1sHn?E_cYKzG#gRSNs^Iv5tQ9@H6tyKlVmQge
zY?ejTOMI0}hP2${a#+P>cnnGK7&c?daEz47-dQe`A;bU3+IyA^PwO{ccfoH$ql+!W
zQ#eov?<LC(B()#m2&YPIbu;ud5Zi303OA{Ub)+Mi`cCpu@K@N!Sn#dflgUNz(p^Xd
z-Ji$MokHjF*&?V3=kbSFX**wa{hh}RV$VXC2<BrsqmlUrX7`06bdqcNJk-ePTH<(e
zx|ZM1(JFT>#RLjLAIk`fYbh3tgg48zv?}!rP7_M~Li|KZojzqKb*=*kj(|71v+Q!X
zaB$D^@<K{I?lDubNAF)^ic+PSl$FKi*s9nZYQ4ejjy=E$#U0A4Wv!(TXY5Um8jwLO
zTYV%Y4cQ>K$RQTDL1K7<o3R<g23ZNenJY|?p-H&dz|2#9v$gLm3nZ=ASh@t4L!*mr
zfn@NbutJvfQX_Rb$&pUAL=^uK_QvS<IcMEDerXH$B&9iGDIpmvxCgs~4Vc{X%Z-xY
z3ar8W!LB4Z+ed(EA}T3H2&zN!V$2nJ{lRxZr_3LGH+~}3L7y^I2Pb$T{@}s3cXt<V
z<PFRBc<rVL7Z%hcZU^kgscy%EAm!ddswB1dOs&%2U33)DozXT)@mO4K%`OI#E90%?
zH4<W<<h&w`4V`1`JB}Zfb)(-|Vk$EO7(>j)KiplyEV4<*@bf+|2gqkHWvesg=f0mX
zs_B@j!dXoLQ@1+JLj=@GzO-1R*=Ccf!GU-JgFir;4S0rbaO<Hb^w1hO1jHWb9Q5tn
zqwUvqEOdeoL8FVUiu$iFp_N`L+)N7U!yNx~1(mhiugHJV0LXvI1@TlU@_$6i%Cvys
z3qS``06)V|qyXqsh5}fi@9_FIq^Gt+kNFP+3V#vc96<J`be<{um!Nn|CBL6@p|7CS
zCI<I2PJbClAowkibWNm6O;wJZCTqQ<K-P447LZJbr@hrB@C6cs;*Lm+UvNG)W2k@}
z8(NoId+$GQalf(93D!fSr&j)_!Mb$ie;T#i+TX<SPnG{_sI<gA6fQWcPP1M0+L#ku
z>9*UDo5(l3q{EWGg5<~G7NiC)?8wa&h&k?OZNwVPe>osWr1)3AbbIJcck6VwAN;~+
z!)bUPzYf!z>$F`s33C(v%s}WIueo>?V6CDYejl)QJgzshaUB_STq^;Tcw8~3TS9tb
zVgVevH1&#k_US^Pn5pFsej>F@pEA@kpNNI{Wv>n4kUYg~g<3A0<top~UsK2>OLUy6
zlKZ=3H!JQ~qFwe|5Mp@xfqBf}#>4YFF>Z4d4%uiava#gfoM=^;+9_`&Cz99p8&)>7
zdu<QOy3udFSYBId%4`Z8q>Vl-@~fjA8dKR&XGq5PP!+7H9;7#NN%&zF<EcJ9zat?|
zQ^*;|=|2RO@*b!Eti6Nu^Txb`lta(>Mm4?s$0g*i#61{s6@<>&gmK=3^<Oo*Sh!D2
z+qC(7;;$s2%{~hCq@B=oXn6<8@IcC$r)TUPs0Riz5}}RgK!JnxNg%S%F1=u<(+Wfi
zk73sukL5a8zhSFh%V3*9h)6$JkF0G(e;j+?#V4xB>E`52WwY#VJE2yPa<S|ldk4jl
zSP09m*eR1B@uMzzZ?jWc6pG}=%apx?0ieJ>1{Gu3tG8>X(*}fYV_LP9QB)bd@X_&>
zf=6NL+ji7NSv+|XTPMK>P-373u)vci@3%vt5S<l{UD(N!hoS!*!xtw{(h!Jo4&DK%
zEVgHShRxKKzk9*vgJO;kaADrp=iGiPTt+4{bJ)%7#%Xeha`Y)Bmw50coXWA_i@9f%
zdzUW(OP6r{0v{OQn#|oP^*{MBdW+kJYj)vq4NElyY}H2+NOB_nTM-mR3ePvO(ssT!
z`={{CX%@Rvy1h|rHV&idwv&>h(LEa1_e(J#Az1`s6m%IGKBT579e2tbtuz}D6X`%U
zF38Vj%wi7Tb!En>{*xGn&7Q}S|3Pky)Pv)nhg!+&3cd$VGp;MZSDJBTsAc^i{}7=l
zoJIakpW7FV1`WGOk$Jcg@RpUdtez(Vvx}<YvCxGDKZl01@u3R~7&zKEgZ~QWarq=A
zZY<ckO-C%7YGr_Y2CU$+3%hu?X;*}uKS<B#KqZ?FP@xSrL*cx47F-Bri$fb(ji{>!
z8DTDL$;uYkrkLCZ2kH3$R5~Tt-ZBuj!A}*oJ!;se(}N6<Lz{9T1isPaM#hB@Ddlb@
zaVo^+A_-k7grZZ@Jg9ziB(Y_b5=o_e&hPe-YA7H0)e@-OY<uTe^hzcxzfMK_Yvk1|
z=q}Z<{4Sv)UHot%zTj6&yca9w*TwnHVt%X$B?RzCpoVSzDF7qIg#flruedNmSWRN*
z&|Zn3#S|v21TdK}%LK9I!Uz=9EVlk%@Ds(>=~G5*eSurvdoe;v2d2Zp1M0=nW#b+*
zBk9rmmRuB>VbuQs=1#-!;n=?FRmV=a?HTxS=RJ-2?D+kt3J&ahqp__#(iiyO0)wcM
zTDMp15&OT9b(cEUaj1U12BH~`PkCF?FMnL|s#ggE7eDG?E<fD{ruF*Ap8=L&gvSBy
zVK&#IGx1gLaHF-uj1UR$N{Mq$ie8pa8Y9|n?;t%~!#hX`w&EL=+m!LH1fFJO7-q1)
z?csO4avA*>Q6U|I-F6BUk3zL&ElF+EN4~(<F6cX<VbZS{Wte1Z01<1#xYYB+3;Ie-
z%U8g-RJ;a*=MdaQh)W$=Fro{KOWl!%sxprpDiN1TLm<XE_%5Kb*l{T}d0dgKU{K(_
zD10I)aPmFQ@TmbQC5vF<RvwQcQBQ#qr$+IHdB>Z>E7I7FnM^3iOo*b@<kAU#1t)nd
zxG(oy<KQqK;%VYC8r;3Sa$*T6lZ8eWw`>F!5}~AJ)AyE%_d%D;vUvnQk!3@lGAtWT
zZlWi3ImIOUE)!1vNm@rS7g4fd@Ln*nqanKJDlO3vUo+Z1DruunCT;$@q(xZruR_-v
zu5TEp>l>g0eoYsD%q~vtx&DQq(RUoB=;x?E26<_eo96F?B$XAmnTUqNX185|yxE;N
zm&>CKJiVsOpC63Yi6`}1!|NT4)&O&N;ChX)7j3RKE8R}59!|i`n~jdwsP>}aH@NjK
zTpRXKk8jIvJQ%@`JvHD8oldh2^+zB{!V5d@Yzw}uW!=Cv?~P;db(DYYw(Ib1eWzI|
zPq~$2_!hbw!Yj$<d(oEZX0y|1c0A?ff#uQq(5rOtOw1hoq~>f7o@{``hFYs!Y0l0<
z)exE-V^6%gM^DNpY8{{bt{RXGJ@N{5Hw@{)y0+J9wjn_T@;B?f11q9YAFcxuUx%X2
zuns$A7)_@e#!rW;-c)x6+S>r8Sp%?w5^c|&g(oAJ{o~=Fdhd)j)EcdBr!0Qw6Lwa*
zo$2vckB7CHUUY{3vh20n&34&$8`Zkk2Aq*p*anO?HoG0Yl_6@S7i~A*7)=C!0UQ}^
zVC}{<h}vi9FO163CLBWuK=}Ys9mdp)AY|E?>AEu>AYO&<E4)T8I<4(hAa|==^;*Cm
z&<)-xcQ6`;nCLVN6A-CY%PqJ>t2PH#d$hsrcADk*QM954Otrq+oo$sR;{mYr0HUd0
zy8(IM(9A}90_ZkEoc{PxEA+b6W_fNFS!$Cv*J?r@u3D40q|zxLuZ1<nq8rQAT8KA3
z!9X~btHpxwcSh@AFd-}fw*&EEXmmX<R-UfaVQ@!#(Kh@9orDneg)%V1*jg2)d~Mr3
zA-@8PZpKvwoYR;AMy%InYn|TfmOb^4L(zto*D3=n9wfU#au{^84xdmm3NDYx@jIPX
zIJs-ri4!L#TJs&h*_ddyXLeP+<GY|_xT_a!#TrBk)F^knS(vB}Ow1a1K7Rg1mjbdI
z+S3)I8+;OXbB5@q(`>>*uX&wm>c;QP)}f1$jynabsM_&+2i8Q}fhT9na(PPf%V7&S
z<iTiDIN#{Fb7j9a<JaMT;NMmCW&_xLT{!E)Lc6;Q>pBFWPNVPaYq{R6xE$K;6(6<@
zDlqYEy#dMuA=EzBZ9x|sKqz%;9l)Q-fd_$mnw45(8hAhmhAk*6;Ady_a+|!_DX$7^
zbsqZiJ+A|;ZLQRs?y<557rfQW@SE0ffCnYRJEN6e<9H8LNVJBD2w0QAUYN=U4Bsht
zz$f!S<Nz~lhK_(;Iv^>56{_BJ*t-{mnD!KZZ;&2CYt!<}FfNNKJztFv+2`PK)Fi(P
zf5K=4ALFlsVIg{PF!axcJ00mg=#;Dck!Y9^6N}^_2;-m+DD&;FB4bF^f6-7a1fA1+
zCo00zUk-M`_UKn%EZ><_AiKc`{A4sUU}T`-z&ASTPY2CafJYbqJcECJgn#ypz@HoO
z&nHIV&tv%K=WF55%60Guf3Jytr;V;sr`zV~mOQ#kkS?g9ONQv0g8;8WpyP%C9!aFr
z9swRk2{7+Bz?@{-=cL_WvMkB|?ndj?bwHE2zET5Cfm{F+%buXP6Xh7Us83iq;2~Hy
zvs2BwTv}B0WyV8UdPHk+MD$9PwrK5x=4y9PRc<xg;%}Bkqachc%`S@CUbME-tk;3R
zVGN*<SMTG`9|G>Xzjp}437D!NUV)iI&;!_E2^ergI3I%a5s#CMc%4k)y7qct`9=*p
zV0&qxG(rc}G$=F2b*4ba9D_Fv?@FiJ0BH`yz`j}+v@9r>_}cgdw<E1$3VB|SD<D_C
zKble3f)Tw3YFI6=A!$?aU*22&#yy7)zV_g2P$Z(MbzrTu&VrvTht^;vUW;^$1y`=X
z#)IqNn?Q~)=@`k=Z;#<&;1KIcHzD)AKJvQ?kNjxfk+0-GY#0sgKXmA3;2vR&(r^U|
z>kE$i%Dtd1jya?`;1;BTxMx9a==hy1jNg1-{8n)Mf;*vxfNPVEVjl3+y!%%uT!Tsy
z*CA<1$v2h~`pDl`c;r1AIS7pP^%{s9w_cvYxm4suG<<aD=){C1Mts$K{&*h*MX=zb
zNa0w3-Gcu~YivsQ?{t;OSL`amx5KyYf5ZMm`!g7Ka~|v!cYnbmi|<t~xE&qL|Agoi
z5`9nffj=@upT@vjG8y>X98%9y_!lhwu!i@x5(7I;$iYCtifJ0;Cy<tz7`+W#GjwR3
z8Yq|$51N2!-=23ma8$#Y@+xjO^x)lvp%XTp&<A%=vfs=p>+R|L-mmtjPsw)*Psx*c
zr)0U{?NzTmc*D(76)kL17R-^ShO>WK7{;IEg)vn$zdVz(pZpijMxSIX*!qg1!e$H9
z$Yo~<&JO-BOrp@13!9Qm6N>X|=6iiPUsQO|<9P=yOswEI4m#DoI#W?o+Rus2?Sq&e
z+-n}f4cK)`T7!Fa;gZ~T4T1>DUD$NWO(wxjjNT%|t`fF(+ur1;1OLH|BRtx%lRjg-
z4n6u1Q|xBJ&jt^ic6>^~vlu#k9{yNV@;Vaa5Y@o=3UgN90j4t3SESLwUpxaC>$A`f
xxQmJ&^P(*>S|mIZ@{rcb$K=zmtu-q3ZWV$w%^7s(N2?gn;;|oWusb#J{{aa}QvLt{

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.labelers.utils.doctree b/docs/0.10.5/doctrees/dataprofiler.labelers.utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..6287b8c6e2dc401994e9aac5f5a2c3aae0f0e13a
GIT binary patch
literal 12860
zcmd5@O^h5z72fs!&aS<?w&OjpUNa$zG6wH%5|BtX{}>L$VTmFF62^3Tx@)Go-P1kk
zAMdUd2Zt!gR*Hzk4J1GU;#cATIS_=11Sm-S+_)f=0|#>9kOLA@4j>`%y{hh>?w*<6
zStn9rX?MG;>*v*1-+T4y)$^sPuitX(nEWRegD$t+ops$bUC(4eEM`s5h&s#-<E!z>
zC*q57L)3hIJMbdkV6hlO4TD>b=`%Mz7mEd|9$HSYp0u9{m=Ri@n>FWCe45XkiyOQq
zra~)pSniXUdYBr=Q~}>7Kf`ut;I#OuSW18{j*987jxocS9~Lz&6OvDe=|r|IG3i(?
zi?^btF6Q(w^sQzTVoo%N3Cj#f-WkKug8+qio^th$dYUz(Zttb38|Qu2qB@b73H3I8
ziuod6;RpF~KEYST0~-$q%nvp`^|{aAdi#ery1r)z8>SxWcxqV=^EV)2u%RR?d{}q%
zCPRf_UBTuDn9_+e2cjk)6H}IJvYi}03OfFNOo3kyh;G2ojrh3<KPPEAK*YD?BpPC}
zt6P37Zs>Ss<gh#Hd3j31#^M92)>>61KD`yjdc;4(*K%{;-gE9PriYQww5G4S1}{v1
zBc1++ntpe8laRtB+;-h-Rmu#Q#sO1J)IbHj?dx5hgG$_U+H*tQa)Wv+awP}x<oR`j
zGvhpUPcQf!>W-rmMX_S6%Ye9R0K#=e!sWN$Pmi^y0o#3wGF$uv5p(EL63X|0S??;k
z=_&)|b*22N_70W1NWtj<KtsdDUE8|vY8@+}0!?wPakAd9+`4+HTIrLqD3GQ^-t_@}
z#{;>lK!;*Y!nPSXvZN+y3<eBew7`Or6K8XE#K#AW(@6NMr5xL=gS@AbNoiy$WXZ|;
z+THan59UbOzA<r74n&5QtVwEI`II<bp@JDHt1I;wH;pB9hBK}q<}uZ^E-WcYAr6sH
z(j>}vRxmELosP2^bak@(vuFZ~cY(!3R2!qT5>xo}yJQXqvw)Ng>s^yzmytd?U_n!@
zANZ|^>l0PD&JwN))L9z5A5Z=mzewPHsRtf^Tv`PPd_)RNcCEug<~tU)g&aq28j*Gx
z+Z3&{{_=et8`xLYQc{8xLXtV(aH-rd#jgKD5xDOT2TqK;v7TogA@m{;dO@z^brKd5
zrb{+Gl6E^U)A(j81fGhczFakGw|~^1C8I8j@p`GN7xG>4mr~OxCZPLjeCRiAC1mV&
z;5+0*Ot$c4Rk<kQpY#0=-y7h8v6ks|u(`$JKzA4WJ_^F!E);W0YHuv7gu35mVXQ{N
zF1fp@Y;7!7Dr^iX_wJ_ZW{cqeBY^mQ-(L08VavpZ?hPs9zljd7Vm+VFfLl_6_3ULr
zzaF&nxf<yb7s`rA{;LAX!IHlTfqtF|RKcVFRdoGoA1K5k>Usc+-pqG2kVSt=<*6Wz
zeRO<mEZ@^;yy1WAk%qrsO&9+60hF*8G46=0001MiV(*I20@7r+=^0G5o%#%$wj1Qs
zO-yFHF7Jm^eJoJNzWZ(CDJHz8T~t9eP+kWIgSt5g)SQQ(sE~ad30a0A2i-ZH&IUN=
zz*fd$jy5C6grito+|#E=vIzWjJ}qWjk>kj1j6X?c!Q`t1|Cw>fp%Ve6g;wie!1d0b
z8B@2h!S78eEk62?T&%iYr)`)Va;t@xwsnEIb?MD#uA#>Q_olGUcCZa*F3|1!YyZZj
z7qT9*1-EU9qs>QNbDBB%<?k^!hgQL6$t<uCH8Iz+m}6=s&ml1+IC{&^IYmib;H+iY
zTbg??^+uBO`Lf6tWtgI)75mBk0BS#>R^f5_qeunI(wjrmGk5zW#pn4Z7|FuHbENn}
zjb^V|A?x%v&k?cg$J86x$KkQB)wke&(J?gSOi_|(n!5VQ9)&Z5gCTs~(a_9u+qtns
zzbhm|8_NSe6aoD4$N-9Y3QlyHVYMtHzMQu)wvJv(w%h)p0{eUTBlo2P^+wUXvFTHO
zN9i-1V-P=?GV64?9#{pF+jD~kc{%p)O5G3Nu%K-AZ<M&NN^yr*?e~cY7PixMEW--p
zE5mj>`!#fI{{p`*+po|gL1zCFzf#{v!Xc3wKe-oB%VMhj#-*zzf3Y9XWwBaKt&9wN
zRfMjUmn*jol;T6mc&*qkVtRdBcW##<+`o-F==^zE)&36tq?S9eAw31UCFh&<bVn7|
z$&5gM^blq~s3#Esr8@SHa=nUzH<xHhp)A8hTA2Tkd@}mBS14uZ>ZYpjmYgG8w0>2f
zPx(>Gs$l;%KZQMrzi^<~*>E=Jh(C`;Rcn<ezWrB7BkjQm#9u<kL!lw3-_CI9BYqz&
zLx?}1-tkIaWNR#{>m}0Vmu7F;|68teHR=W0S9WQCgSfF`Umc;>XH`|&;Hq3<TK30O
z)!h+#-Bwl8ZJ)0yO{kXIkd2hbrZ!uINQzAwibrtxRNS=eGbTq*Rci)*r967tkAP6P
zFF>#(_der#Du{iBjE^Q4jN;~rtk)J-<Y&cgK6^B>5L8xl+D|O;gB6G0^<uY`VZ=v@
z2C>0eS|CmpyJ?US3^wZzz#TaYC*hn72cD+Da}&`~6%st3wXP2CC8n{uQl>}JR$i<$
zJPp3hcM8XX^q`Kop1qs36<>L`LVHCtaX&&)y-OKh3+3;0d$cUd#YId+Hm^bZM}rIg
z)q$8GT$jVdeww<G@;sNxvs7Mg6|l&KI|f#0<YEBHT~xBx$y;#(->;ki9~kAZUqT~b
zH%g$xez|&pfw7Ksfc|iY{F1lVx!Kk-#Yl8vz)78|l-#dBR127MX!4t6MdV{r4wCnv
z2cObk>qGIZT4GH5Y)Q!1tA!klVlqHK4AR3W^5CD<1MD9KImWes0IgG+H-4@J!hfq}
ztOB99HC58OR5dsA)Sw~qXn#vC-f%A<t&1?zKt;E2#}1n5`fS09m)%2Hp<adJvYnV1
z)fpU-yuE?;Uc2{U@G7UW7-kv>Ll0~_1fnY5WS<2#_80K0U_0$cP*NRqrVx|eq}I>S
z`l$F)VqIl$<3d8AsA-$1mM(xgjO61=_n)Q<UKLCVSV+fr<s$?tfE3`;w;t>U>uG7%
zw{R02dUZc?WgIH?d$Lf|JK1H%0{b*EV8y;~WFinM6nlE_?89<p?oK9vedXSCS;WUa
zDWfL4b<?Z6UU*8z_3C;(!mT0xq#-}uHIo{IKE+w)`p|zTy6U0+5J|gYKbQ!eI-<kv
zL4vydX=-ue%mf<uW^C{DanZimSJbe-oGUAY%@T__Jd$SaN6<8qrc<NURDGc8_H#J_
z`VR1)kp4)$;pF_&wK~1^v_~G~15y*2K#^om<P}Nn-Ni%w2!71&$P>(;R_{WqEKHLg
z<RcWyNKOAio<0@4kJ8>+Jjf$+i1KjMZl+!`21$?lnNoL^^hsk_PfPKJSIrxGb+0#K
z4C`y?cqlmXD6fzyP7<z4x?h)_mY-b9^b+(df!!lQ@~dkZ_mzFXYX1P0M~#sD8g;J$
z*5Pi@U#?|(39N7}%i%}*QsDHED9nI*H}6}yGyaSHw}r_p%g}Ql%1La>-mcg_W>@8-
zpq`z?Rmj|xgBYbGf;6u3#SwZ<;wq_?Pq&Clk!=-Mu~RoCv%UkOE0TjlqARuuKS#3E
zX7qG$62Ds6QyWi%BPl)U8vIT%CDZ8;xJe?wX@Q=m3KGh5xVf891mdSu(qV;hO7klD
zDQY_|7L3TJ3`{M{w>+4ZsJu%t3->F;jS1374`+FyEnJb{ZqSUy^k;P^Lat(#*Rr@J
zYHjA?Dkb#%7%vFaFy!ZTx_Fsa!{D;VJ&)J9<Tdggyd4TXL!&%R`ikMEC=U{O5l32{
z7sCBO?qT-v%(ys2NvUqs(RPpn*ojfHfT)bs)eNsgxvl}aTu~*+&6FkDwiR+M%@)Oo
zNrNPPbW0rcS=aM%8O1IzCq8pP%yHexUZ=!i++G5!5NTyWT4_p5nXDPLG2BAp5z!qI
z(>o}sg+5ZPNN!x}ELd(g3N@rAdX!Xx%jGC+t=+aJuXm3ZKWfbPJzwMSt&ms>oJmvz
zc_52k6c&2{P0&j$R!d(>UD$Vkg<?VV+mj(}eZ2Ug)L1Oh90CBv0g)rq#|}BV+m7@$
z1L7vKRt_M0SRD14;rXVP&%y)_)3{7-;T9W+Sf+-&vzE1kxSUwfqtMfOMdE-3QXMj*
zPFKr_2ViA^1<v`dj@05Uu_#M`t{c$u_lmj!i%d^Lnj2~@A%yM)Ov|^FEHOguf)!Yb
zqKleo1r)@?L=q`yQib5B#6e6ZfC{KQC9o!`rcqL`OgdhsCkz6&m~v3D!ql6IC7(x{
zb@mF19ww~<bKEwF=vW;qjPD=&$6Hfkq071&U3Nhm4fF~wQb|*X^rRl5&cm=9Y;J69
zZ*Q-6cSG*E>z?06y6c4v)C@Laag16>QP4ueg((&)lzD!vyLRKv9|5upe#<BgLnXao
zj;F(fo`(c*i-j#Y3=caFhNy*l6Ix`3JU%lkR>8@RmZ@hZzNQikuZX2!7wNk@8n@cq
z!4LR5>Co+}I2d$vDB7bD^f~}gN9DVE)f~^z6KGcrjvH$O3$OGIC`$;@`h3*Il^`Xn
z%MA3y4qO3yJi~HZ;6Q2^j*zJcqGqw)66-XX30>XASezlr>WVmKIG%o9V@S(#G~{(6
zL6Q>7FN+E0UZ5;=F{?}jbQ1JJR2<=JkV$1}NirP9K%h$q;|(g9lyiO&MyyaOU3Dr(
zZ>{WQn$!X*?I@q2LiKDPqut{Oeg&dN#T1yQO7g>2z^_Llx%`fZ{GGTkpH5Q7GLxJn
z>-SQ+?vw}p{N{=*^#Did_%dzCk7KO&P}cG}-jdM?8NrCep*-ItSch;qER~a(txCwO
zr1jLQ<V#dNq}qd@ou=nx6qZ%5D-~w7YlR+b>8P^NkwX92A^ecGq+{j2k}qRo4o1)L
zA~I>Qm^VBmL8$z8EdJ@F{3=%YsrVtNEs{QA2yp)pz}~6>Guu}vp3jOUL+35ma3T{X
V$7|DnkC-#bJSUcnyoRW`{(pXxH0b~U

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.base_column_profilers.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.base_column_profilers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..79b6009786c66adeecf0bf5c6160b4fa35376ff3
GIT binary patch
literal 75639
zcmdsg3%DdzedoOHy>sVrXJCdQdKqZsb!TDjjEc)Li1L023=anljAKvT?&_&N^zClD
zs^@{IL`{UGqUbbc<=cF#*=&OQ5o1Ess9#W%^;45<1aU={-K-{PB%7ERlP?ib_y0ey
zI_K1>Q&rvfDh=Pqovy0$_@CeTpa1K;?w+`R#fp_H@V|Id*bSQPqw`+9-tN@>a1gJp
zcWV7bza0&Z4|e>*;4Oo>c)I5u2|N8>%^$=oAVn=`w(32<JvcCkXE1rxY=!eY|5WJL
zqGqQpvj-EwWH5DLFc(b66Hzm2`O2sGq|3a}uUy_~^%vWfn|hr_v*q`~0cL>oYxem^
zk&vupzc`>2LKR!$$*u=9MT6jkc)BVZ5v-0UIqiGnHLYgbAMEWfc=0+fih9k3egtjC
zHm+{gLu}7ft>uLwyoBEqZEunNT3hdTlZOSbc1O=|V48kB6?up7(;(Os%my2RQ-amO
z_V~cATSI8at{Yx|`^zqT`L1rSL&9BkFY@3QZQ?GVFx<r`(>~0L6yf{=KvS(zXsXHE
zUI=YG^}1F4g<wTI(QMcKqY9u5>)<qKQ*b(9cn17`7W{t>{J#U+2N3m|v{iHQny%OE
z4dU|`JN16czo?=Tm`BGTemTpwvsA8Na&I*7`oX!uP6e(H<igePy{O;ws|!7^T?;hC
z5M9PLyX=T{kL^LUq2296l}@8vGXd(A0QGb{4gBRD>UrHjfjd6?@=iPQn(eT{*ssF+
zt0HKsP=1<c485&z@`SN32beBpT(vhi6?r$aa}m{71M@x4(G>j-sLnG9BSb`I%XGG#
z451@IjKr@&;lX6bO`HcRa}@AOvt6p2cMRfJm*M02bj<@RYqLIsk-7$?Yfa%CArx1D
z2!$`zunA%WSzJjIU!AUI4u#F03UG7fuFBp{+dr?;>7u|5_f#<Tjr4(kt6WTz?4ay7
z2UKjLb$RV}C-Mv_9Zxdk1gnb2gcT>D=UT;BF`hoU*xD0zJ=7U%yFDMI;bDJ(97>>+
z1{aeLJ#WXowS#f^0f-wIh@di2?h7>;OvI%`p_B<FbLsu@w(S0xi`N5F?F8^Co$*E_
zoAxn%_Eo(Q+!?$XJLfG)=LC0AaRcq0rtLKwdt#b51?$*8>14mxMfO@Go6)=$tIj6(
zJvMSrq~xNsUi2fs*J^^oR66P9SX{{gB*zaMtFmmh+|6dWG7|+J2Y8jXM4@F3eL;<#
zZ83Y$ar)hCoZ^-3fv5H%_TTRSARneox|O1Um3I5>TGUSs_mz7@cfl{c*3Y_X?WSve
zgx9()URg1U`mkD5@DU;J<8_GulQ?bY`t3T1_Ucivt`umwO|vat4VjGcpH$1wR*hi8
z`i**L5j6E6Ue!GYh7i1nj&(siP0%qhph+UHcgT+htR_(T$M!HIXAqxPMm?a+JGO_F
zyBGWA2|(y^=obq@kE<;RJ|huYd6(>;yNpJEU(I4P`p;54fxVMeH<0voQKN);4XPEr
zN-_ZsgQHf}#8jXT{zk!hb!UO-D6@)Gn1jF1K+e}~gHNSe$vNLhr_d!t+;0OM{{`Cp
zplEk|daeTHESj+I6we~MNIq)=iR^HrW^DyI3o-$H3MXWaRC0m40xL6!3evntzo@;e
z4A>J=#svo@%|Gjsqy`t=;3ik;Ep@=ETogQ`jZ?L%Ts|V#GGr|c$1hsL74$R5A*ma=
ziVVdZA_@=4!|u8ZKuNYj5gM8W$0KioG1Q#QY=NA!`HJ`isi`_$zvo4ro+A6>l^2UK
z2EX*tb-xpWcx5N0smO86GMh63pbw_w$!42I3sh}Q<)YBm79siH+ysFg(D3@LsCw9I
z^?jYVcuUytc00YO8ZLUh=uQ0&MkekB-9a8yX*NJty4jF#`3XM+f{+{H+}2a_9Plu7
z0C5qpAO@hV!6F0k4WXTZW;e!@!|BK1nP4(r+vvAi%mO-&O0phoM?$V!350n#8lfYE
zwOs=@TMbGHmvJt*M9Oi3atGWXrg--pd@Ja8Fem1(_S=51Sv&ZK%Kkmjh&>0(sB()V
zu<sxQQ)onMTRg?<Ojt8{1&sDJgCi1c8~<DunT+43<Ed5?%vZ0aj0W;eEDvL2P&02<
zQZp#<S@JETMqMUB%!e9R%mxA@WhXOIv`$5)`)kH@{}=vog&g8ZYFE`t+eeC#K>iUb
zQS1a^kFAHI{iEGhv(}6T_tFGMyj~lADs~z9GG<P!t>CyO(PnfOpbqF05F!~j#}mf{
zWhNLBU<a?L>`%HqUJZ;ra5LN0OT_q;H_6k0xfpe1W|d^gOGX`7Nuww)Z^oi&K-Cud
znj`;!eNV0VN#JBOFSGb~1C&&VkI8dbrplc!hO7#AGAlNdH_0kUPMMOdM(U4~HJE>N
zWSAGRolIh>R7NKJu<}3xTnrBuUQk545fa9NA!?`={5W91<!>Tg=Pz9V_sgqAETma!
zbb36>iD6Yw1U`9uRYo_;W|JzOT!<~5B^Tg7nM`0hz!?7=%fW5M{AJg+n^DtiHShE*
z3!vOM^blMIODTddKJA4l@GD_|fl6|T`!HD(?5|<iUsV=+awX<C^}5y2aY~D(<8_Uu
z->O%QU<`LTVPc4WRx};^f^$YZrx`j~casS4@Y$kmvHD6jg$j~`W!gdB$Qr*N|6vvh
z`eTxkg--ogic-Z4ITJ~(%)OS*H|(hF+*#R+FJNF`N1=!eA;iE82#Ef2EnkJf)oCA6
z3g!VJVQ*3Z^ky9^+^iS{R@n7x%|^2}xF;p0P~{(C%?{xos%2JH<`S_&VZ=}BP)w{D
z-jOTf&7wK}VmI)@W~er3l3~IOoNcjq)Eo6)qY~YKF~&Q24<kCJL}w>eB|6g>770$n
zLArxUjzhuZUGT?>8OC*p1Z?GwJiNBW6P3TZ`?wJ#qa|p#Zi~0rct!$c|IBGoOUe`b
zv!t7Y9CAh*(m>%jAo>f=BFSwm>FWxVx{oClVj|ei=Sqf}6bkmo`(Wy=ihWp_8_^D_
z$jM=t7rJJ|!sZ28`UH^_kFwndg-Io3pD$j-v*=~$6J1KN)D^i;CSIFV$UKGQg=8Q)
zoS()H$keQJ!G8*VU9+czhY3-4@(r0c{@6H8;wZ4u*_=BhY%KU8oGU(aW(?@>%U0VA
zQdKqytYEfF!HWD77JwBeqli2O@0hnuz66FB`BV6#;ZFVnZPIc9XmGHPlSeV1lXuYg
z1Gjs8`;a<D|A%)=e}Q}jnk>4ME2XTp5GdImgXGXdq5v?1Ej`2{A=J;9mXbktHR4G=
zxj?q9Mt1>x5vond$@oZTv6Sbjc89Io!1zv3rDKrWOQQ<G8|%$RV{XUjA`s@zf=(Ue
z-xZ_EKcr{`*>|5s_R&Umz?|xdg)w`mVI@{w<SkyY1$C5pbT)_Xwf5JWwdjDDM6c|8
zRRv#g(=8FWYgh}Juw@UrpgkX$U|2!BTjq^_Z>$6@1BD9N-w-1*?);QHjrUbD*K^|%
z6TmA-W`;Iu6$n$;c&oF=b+U`CTE!k%zZx=unXb%JWX}@a=B~g#OT;U%MDFp6%FfCx
z(dcmws({mTN~0I7W8N{^P|S63%tVb&pgXLIngYFzJ7~Wf<hocSu{6xZfWk(B8BuaM
zEmoNnJylMMTBTu%@8t}ru%N^YsgC>m+_>8t@@__4AzuHWy8=6}^9n4yj$bl(eMSd{
zBa&v_wIZEiOn%%b+UQedYDe{69W0nsRE(8=KLsm<k(m}-sl=D5uka-|v36K_1!+h?
zNrE2LIpYa;4dvlrl?)37o8rL*8%l7MLh-k5LS0Z8W6{a&8O#Va?m)3|UGt->*66&e
zGZ^_G6k{%<5EG>C0Rc38SfxR8o!Eokw_Dwme9WXIe>Rj6XyB>vNLse#r-cbol9*fM
zGVEt<$zRWh1)6Owq{WylLuuLA{1r|pR2Q<~s4v6jFNMlo(;yr*vI~i{gOR{U&IN#$
z(Q!RF!|<n*c;K}14x%35PCh2B9-ul$eEL=3d9gq&xFtTUjjZt~Iz&xi4?-vd=mk<r
zCMWwDV7C?STvX>cS2310J%#*rysZHFt>AwP6Q4QVbL4i*yQ=a|i`H|klO4csmjPA;
z@bAD(l1+f|Nk<`oM+cG#u4^^Ry)u_(KN`&EK4vBAR2pessvK!X0W$^2QKh!n@Bny=
zjkl7asG@mC;YO<w>V1%l&pl#<gGcq>25&Q>`uIsRaSVM;?o-=gTieSUWBa7H=sy}&
z=^9BDen>ix?cYyH&rYh!$x^ZX2cY0=<fyeRVN1pKQ>bOc_ATkoD8fP#xVTVqkk)2R
ziKI3Se<plp$z3_fVkhv}KaM3eYH2A_#Qp=CG+zKr-NMx=XCL`2n@&f;<4~N+p4p6m
z<np<@M=?|Jp}&<*p~9932=GX)AZ%g#M@eLC{|+7UbQ#J)8_be#Qs~?*<Q;-7T;dK{
z&pM>S=E0aFpuLlArX90tVu+6UNx6<GZC;&Rm?%|jklz8a=p3oB;D|w?uQ_Ej<p_=~
zK!?lH5<_rvemXG(5xP=6?i2uoPrnH@E~cT}nRvWhm|Jp)X)_u$Ud|w$WMO1ISWafa
zTBF~|DfsI(fC1Sqf1L`ymOe0kbH59LY=22Z<5!Iu8fP?(5FCGJ+DMt_4Xrn-u;~ic
zi0px_iS4=<!qivKpKsu{nE5MU6~a~c3rre_YAYL4hX|eX$VW1jHtmU}LPCZrZ*(D2
zD?DC>M~5?NRhcV(c&virqQj|Mnam(eiuX+Dibox)o@}%&OzfVnO#mZr!eWfD{Mp5r
zh4p3<OfQpdPKgpv%jzV5ByaRa-{Wj_V2_}@6EYQzjlbVrfjyeTE3kxU@QZ4#D6O7#
z3`2&4VR%FE$(ct->LH`%Y%4<5e2#FUv+iPHwFhZO7?imBEL;1C;g7-UyKTi<f<GA0
zv2i}x4XRW)tV^)*7e{Tn??&EGtoQH#T<ZQEnZ9B?@K~|V5-}%Re<fT&ZimvAG3NB5
zOnoY%PUEU@Xw2pfoQHD5WLs{f))Ebrac@-y#;o5Yuaf7mj#=_7uS(dJh7eFjD>H?+
zk2SFWngE*)hUL4$YTzq37Pe_pS20dxg+sgnGi~R}|2oi)?pWAvsgEmjH&N@cf+iz1
z9%&Q|pD+ZbF~^)9@+zU`&n(;~)$jUeKs_Dmsz6y8p)UNSX=g)f>!GgAX3K@OlKvps
zpL)g@8r8Uah=;lUJtaFksj9V0g}E+*g0oShVJ-<-D$JEaEF;WiNw+!0BNC-J{S8Eh
zSw<rEEzu?#FWH`hnG(Rl0Z`C;o-R--_nyVL7gEkivRG{<q_7;17Vmj4&;Xn3=prne
z_l)0}_k1`0qTVz8wLISQEh1z&^3qx;2=^`=gOz1hkLY&_S2fdrj{jh+oI{Q=obH6@
zj2sjODu@&?Fz13~Iq-`uR*K9_(<Z+7iP9Gr$XA3Ivwf07lnSy3fVWh6nJt}!d5+%s
z`(>`N?tsKSpHjiat(W3iN9)6~-Q^wh1T*p=7DHJe=|v?D3i~Etv15Au#3!7!t8**%
zzDnv%gc!LG3SCBX+r`Le7UI(6aUH|d;6Bbf#cFUXdxlOIp?BCJ#F<NM7-I9%()uot
zQgS7E9IKxtj}>MOZi|!mVGg#-@GoQ&vPVDaSsoe|Ee7Q#898An8X9KS3!DnYG=WXM
zeFrLK>g^f)Mb#Vqm7(4^!6-L}-9B=2&&U1u&#wS6qbXCtF*)N>6<1nR1#f82U+f(A
ztMz8+Ewuc4wbAkp?WrtuIxSf7e3jP<d2l#c@|?&cC7#Ru73GcOKQ>J?HH;4VG3PoE
z0OJ+m6+LD~c*T1j;pLAyR3|v0az}U*z{qAS#)$B~B)_+rS&&3`i)K+HyIXD52z$f+
zQHS6hCj=Ss-ZLOm(RlAG+!fg4y}SZTycfTy7LpS0U4ui3wcT(t!GvHR^|oJUl$9-S
zRbS8%!DW>c3)5XqF*K^QhictufT}CHKrwJO*ttM4mj-Qt;sh0Ef)DwV4*s2PT83Dn
z$Vk+6pUn)zi1ukV^pzNyFxfDoZ5!!&L|d^IEu3eu9Y5e~yh?OY&ZCtS<GlNewOs^=
zZOu<WCO-hhv5Xe0EkMj=xiDDAR9{hh^@m*TTJ2SJ9pwx+SXtYpb!xtrV~l(jS!|X(
zQkc`YDLSs|pThZR-dccj*~7w*mqAv9g&)OC+quP%9~N%f)O%$P6`k+3X<!(wNDK_u
z@$Ah-IB&bsgcFy!jk%6*3aNxar{Ahq7W|5TwASj^{W_l5i>t6yhBD&GcKd<bpZ1TE
z|EMYYox%{Q@zOtpT<IwD)9^MU%8Z{ho4^pldX#yJqbIbJeAa3Ikx{6jsTEy;&KQp=
zKTC<sPO3`tQZeP9K*8A<(U`IXC>2vq;gb<lwxqjysn|<`8!uUrAl*!g6TOrb!Tx4W
z4`FAD6@N6Tvq-T7^M4d5l}E6Jh$<Dq7HUF@4od|4#I^1SHhyO={uTI(y7=^0hKtXA
z-C^DPYOCXckK5}kg2!815;vb7xKoiErT2~+&eka$!Re<5;Tgw8=!MfTJ_{r6hl6L%
zt6bVXcHlfX!>Qe9LJ$BEGL8_(bz<pQ!agds=7J<Luz{k&K#`GV{iPgxR45;S-dCk%
zwzLvPFvgf~leywgk5!Og?*|_1PeRQz=64n^FkkBswj>zk1J4PN<PI#xh#TxirY^%M
zoFS4h!d6=eJXNx7dJU!$Dv&+sZG5}4jTwP~w?d|(fr0zn71#p<yaG#L0Kcegtpo;U
zaCjxdj$>gM2^b@wPLvMAZyCjAj}}$8yJ7^il473PZ=~SN-Z1(}H=%Yoc?D@G(kFkD
zFSsjE45ETa&^m?$V%2$4*5OaR&;FO2(y~y1s5UD2j=O>(pujqYgaXeWWI`*obM}XB
zI$b~*W{*8E#YUr%RB63XAQ*AE6KDa^kjSYQXDh#yw3=jTMMK4--t8}%)+K;3RP9YT
z2{ILxSm(Gau*1nKut+TYk|D9yD+WO+adoj#rh$RdHw6bNlZnMx^FoHDrK$KuYpQaz
zK=yIp`;1&hW9)dliGZ$73p?8m>V~`S0zeiy?mK;&E=FPS*a_AQV`w>9*aAD_y~5$)
zcR1VZ3=g}x9KtbLcsO_e`u%Q7h6oNb0u4NsUQCOs{InPxwwZH!aCl3W6>s50Yg%2(
z{ecsjAwtL2I*SeXj{+^OO;;RL5lOaTm7q-afrePdNb>3Fewa6me;j<c1Y*oR92yFJ
z9oPN2k>y=*uq&K&D-T+$pwC_*VFzyX0=pS*y7GF*AX*49#?WsyWazncKFP=ADdgc<
z@?>FF#*V?=`!9r!`5JGvHAcPE`}n_G24WGU{(qQhJ9kgBg4EOT`USX7z>n-_4C6_{
z(|G!D6%N&3R1T$u7zA3Y$uR(zp(hIG=W!nm4!35}5gOfAI1o4bCtMm<V3l-*UhKe+
zkT8PRxeo5eb-GPrSQm<JPy?@z12*a4^fZ(Orp2~6eTFZ7(o7%2{?LQd%1ol&AAN~Y
zTsGAh$>d?_(<ph_NmX00R9N~<C^#D(YRE8X^j5-YN5W+>&po<mnD%k_oybl?*bR6~
zR4g8)P@=K1>xZfR+7jrJ3m|d9jn8B+q#XiXr*B*zriDfDU5zd*?^XI+N47sqy*<d}
zvM*G=Erslnp^zoJ;b0EIxaKKUzdB3<Ij~^5n@3sW7fozr%-LAdon269$_|Q)<^Y{-
z)|c3CSu-w^Ih}}dY7Mq_maL>n$prkPFUD5X#my`fP?@_TiJ4PX!QbOG324^gB?)XP
zr&!<#*C*f+_Hc$j8aN3^%)!>T(ufEH?``oYA*0gbQ%H5@dCsaSo;`}ic`+ZSO}A<g
z{G?W6`VG2lU4yuYfyf?os=sU$m#r2Q4f5xdyzHbykHp8I;B0iL24T?Xty~SWC8Ck^
zx8BCT8K#ZA3!GXc*K_^1VQT)DB||qAbRf?b1sHfQC52L~mm!5L=`I|8Jj%X|M<@iu
ziAhzyta>=7BT}-;StR)h8q%}mIrzt=#;{aA=ZvOz!Ch0|p-J=iI?7{yxGa;;5@ssQ
zUbSAAGTCDt$>qoXT!fkOJcY#6KjS8GYqV+1cRSsF3yuq^OZT!+TG@oSP;%&t8_P74
z?s>Z&aun=6gky<&Pdg8Y_n`JpLO^?Qu}t$sFA~gDyccc9j#0`C$q53*mQ*MB?S%;*
zR>fF}$Wb|Or5))U0+cu2oS#mNYy`O!Z@5JZUri!{38hw(h|rMibIWQH>ZdsNL*jR~
zn&e~9Ft(b6{&KD+akq)>XbI?5gzO?93t_(nHn_M#SiiM_o^phr8C`!Y>7u_(x`GV?
zv!Qpeyk3ncHW%UMsKfp~xDQ22xjD9C1y<T&jDznp>WOWXy>Na3t{JH^D^(n<-wR=<
z=JjRLYlrJw$j}$IK)V%_)wPx7r8&);!yA&+i@n9Q_sQZEai_gBqg!4Wn$xvUK}V@H
zWe+<Mq{js*Psm*HC&yz!inVL#@{hL)Z|7%lqdoas38Z~7%P$ANqKz}r32=42(h1}l
zEXLS`b6O4u2@5_qovt(fEr(*)Jvs^7C=@66CD<>OS7xp43Dhk)d3Vf{nGH^Uw@>n|
zgG@!|sZViNV4pYT6<B5w@ryb>m6bK=TjkR>fMqGk%Zw7UN4%=^9gAvGOG&Kvnv;13
zqNR=aMQdZB3F>Q&Tt++WK)Z=3JVCwRUAGdx&cZO|E5^*bRp<U(I2y{_#kWRMg*YKi
zaEZty?H&U}OIn<FwT<JX7V;Gk5z8@`I7#n#BF{qc;0EDjAr~Wb&h4vQFy+p<{Wc0l
z<>us})qSVYZ27$<xM|s<oJw4~{L2P2CLyZ$8gcFNsBNUmLca?4eyo<QeH!_2EnUU@
zn$aMgDb<^B^Y3&%p2ODiPUrMpxF3S7%3Zj*H#HM_8}2VbE;>g=`IKFVJ2F1V?s${)
zSQ}e(lp?dz$-0bdogK`)Z^Ubzt)tAs*q;UxIb+{2^tiEAW-Mg<BdkYp2eR2b@51L#
zQc(5$Y6RTD<X?cS3X>PQ@Y%-VON<m}c=9k}#Exc=oTIL^WV1rE#AKU98`)<@wyPz-
zi+2R@WfCsC)OiDRx7S?s(B-7gB|Su%-cAheBpzjfY$JndOHh)OkK|iO>n!<ePO@;L
zv-=*A#MK+)FFLH<G|bJ<d~gqwHR*_dW*zZQWjlg=4|A|fqmvdb|BlJYjV@`UN(<l^
z5u99&nWU8kg4=zN-su>Wa9##Y#jUwmgkJW{JB2xL5@s4#oh?kd8d=n(6gG<A4skLR
zM^#XIy$F6%MRH<F0U==P=<{IWN@q^Gc+`pCZ4~JosbbB@PD)~SQq`*{wPxgHP_Ppu
zI_W17O3g{70Lqw?vZUK=Uh<r%!#Mp7WSm(>o=l%5TXSGTCg5{D$k_!W!Yc}t$|J&J
zKnt-vbab;GdW+qbUk#ggj&j4Z#R^GQaY3l_=a<sHnOA7m!=5CC%Rv!zW8+Fa@9o^2
zxRqWF49dA6*-^G$qk(xR+B<!4z5}{e9q;;xbDu%;Hkmj6{Mg1obueiJF$o~AhIOY*
zVB^w=J!a_meG&k^Th$VN!V+}IA24$1kgIw~6>_fd6V{=IO$bW<7+gc<{0?Nm0GIY7
z(XMeXLLwODPI{QU7pX>g5+OwHgm=pj=3ss!z0JDRP(VWu*H6D-n34L6cX4*HMs<P$
zw_S?@z>KkUqH;uA)@|490*@~O9c*grOZba!;HJOKsVye!M!nhE14p8Y_pyv{w{@QI
zzjaB4zaV%7$*)~PW}#lW&fXCFYm?fU%uinE(&w)@I|&7?OCPtu|4W%S{^Ri#_z6;m
zwAWTwP4Roc4dMMg34v|8N)_I!98G{D|A++`a`Z`fx4d$+IAaMR`oid7DnXy(eKxcN
z6$O9<wRB%$3A%MgNYIn;7nPv&*YZfvH{j)FBb{$)kwD4$7dJ1d@MPD=PwtHd9&+GL
zFh0td%)g#zGE*$H8z146gA%JEv{epl+GF2&6@I?ao{G5hc|We}J-|f=tP6(Amc)8k
z)kueZ7L5iqEWxg154x0|2L>6|EdO^h?|5D}3N~htOo?}X%ALl|{bZx~jY~`buOK-K
z!?+Zb$5M>9I(u9xyV$CQ>~o=)LMDJ#nOfc>Sa9VYL(RR`U4eaSnO9($-^MR0J1cYe
zmy9|JSsT)x*XRZ7m^Y0!=!TQ3`3t&jqZ3%z=ksaT8x*^^BysZ0*#lwL;Eegjv{+?%
z%BgOFm}31Yo?h^weAc0l-O$?`at|Y}5W7F%uE5UjyaEfm<ChF}pV2i1M<mU?YehO^
zV1Cpn+UQedxk5oMOe!kOO%J7z&E8P=CvJM}$npx(sIdKsI&(bcuAw|4tdbGX$UYI}
zX*aDdG>j4H<oOJi1pBw>QN7PO33Z;u;2su0L%FjUW;W?#NoRO6#90iCKm$*OP0|uB
zKP|2aO6)H3N`w!cJpC*N##vOs7vt@n&c+X+b4v2|4yfO?`G7+uPFS!ZkYGp70#ugQ
z%{{Y-8z8QB<Gn;(#B(^mTU|u;Al%chN?!sGTl!$vAA}Y9i*3Fe9L)LxDWxDIuf>j@
zB{vuDZ*-DyQv3JDBM!qnrg`S}u+<EEd0PSU^kKP6eGoyT46tJEw}zRv3pRm);GX-v
zR&x|8TF8a9pKcW8>+tc=+(w$0D!4U?Sq1u*P{SW6;w8MfaHG`;(d!{svV05pOw1Y|
zfe#t8#`sAycntBT&l=md<?!~{KFLu+r^4?us?zm=DiV=&egeU-Qqr@Ns<u+8+2r>@
z!A|h#Y_dcyHJh9QE@L*?lJ1Nmj3lv(3nd2;WY(0(Z_^WCB50OGIpAVH@HuB3QR)nm
zrATq6?LnG!$@Uli85E~-Xf`h(xqN@&7co<D0k9Phv<@RLf}l^M;rIM@%@2iZWB-`+
zkNrDz$p0=wIo%faB!$l1Lf#?R!X@qyZF?Xe*4jJSW;&jqEz>;FG5?C0ig!$DyKB?t
zqTHfN4)R}ttb(U&@Y6o?Wyg9T#btttQMfigofw6PUa3xZ$^gPweh7UoCYIcp`1Mi3
z?vkCUO)%5QIz!d57Z6cr6O)$#1}v;je=Sc~y``Vpwd4VI<Cy9FL&wJ~(R=g6v0&(c
z`;k0L+dv6hQRZA>8ar3(;4ya|FiDnZ=x0rHd85D71<wA$V_P_axDw*^GS|4D0*2xB
zWVw)e(liIqe62%BBp9~vvwIFX0g^Pa7&-@=g!`X22T<SbY-7d&)OSIqq9OKoyDPBA
zf_Md%01tjq4ICxJKFR^qziAYkZB?k6(6LylWCY@aDMYhljh}GSYDbh;U^pz`zgspA
ze%@Vy5<@BoMrz}rbLCbF3+GW=Uw0E*7LD{V)ZcbjFa#Q@W2jy0*ivXXPNM#Sn^YGT
zh8bgzyRu<vBvk+qngl0Jjsh(pBa#WmB|nM!<P&sJV2oLN6ShF6qN3|8cLjDhc?A~H
zg<mp6*U%?XUu2YNV4(C(!J%4GZe76Ow6qq#XsuOdsIm{EzQxF8w8sv)n+WLbwA5p3
zpmcR#ch_A2%OZPyouZGm#28>sMz$c&II!>>$S*jX?VJN~^Ew0)%guotcT+ON90()O
zz*FhSw7|+wi*q10>rS5ov7Yx#t<E$vTGQ&h`TI_2)No+Iac-@%@MPdefE<^%ZcLci
z;7Widw}7fx-U$<JSyKUr5u*(+lq0J5aibu2&ZqQI)7*(Folmkhc@o(gju|M--7F0B
z!Z@P(tGv}em6@TxD+95JKR$z*wsQwI<A`dq0?w#1Hu<>E7X4WrMLl(*Zjl(ag`yVJ
zaOGowfpwl}H53Q7h3zzI{G{1FhRoOJiIlLd{WR)RjN-Bh$Dlr+3wjYHFFUEKCrZr)
zoeBjz0itt33>~eZ<YM3yE;Hb4YAFS1eEb!|w2^m#6J2oxHLqAa>a|}vOzoGIK$yG~
z5*Lh_ldB=^Pzc9PPx-(wjVuCj&Y{%pVd}jDGPx`am3>Qr+Z`5M=eg9sG)x;gwqU}W
z=ThSrO@L&~ms-*lJ!M)BfHLP&oAo6|oMnoWPSUN&=|_}U{9NiEfusdpI4<W>KWy|-
zwy1TEWwGqwcPUU-b%LKXZg2{`+@q<#XcU)CxS~!zPsz(pI`nw_Qz+O85LG7(9Zj9Y
zIj2*9W0+?0UT_1vx6}5;e77x-@V#Mb{_c_ioQgt_@0Y+BI4~uSQVf_Ojx6a$I9ocA
zP$Luq-i1k3zR-For!P`M%UPs2p!!)V-?E1gmde*Fpy6F`>iXMEYTgbfvYJ+SRe2Z7
z1F5+oB%dYB)DF8~i!N*2<nje1=VPWEKS4Qhr`RddY=38=w6Y0>52(JTOf#t>yApD^
z3=*aH5RN78J#A$P??LUIgn;&9qfGOJw^zeV#e31VhK*8Y2u~0wwxl}2Z!S#mu!_b?
zM84uVLi^G=3MhL-`RT;qMx0Brhg-Vvbtxj6P-<O@hz-eZx2#K{o{M8$3VvtnQa%C=
zW9w4rujN^nB2I8#;{Ecl%CPJAqGNDY%DyFCio%yKX6}}cKQ|srn{823**3bm!Ew~f
zIqDJ@XGwIwf3oc5L~j9Zl=9%-cF{rdLK532U8sB!_))c+vq!O*2f!sT|6S&K;dD*1
z5N1mD8Pl)wS%>Zk2}1d$FA0F;Ygi0rj-*SqaMvVTEM)|PzU8c4o$au9TvBf$I>{qY
z=<?1o6y|cU73lQB3u5TgjU}JsJ!YL`P)xtmZ}FpkuU)|<#GDiH7)5+!8%yM2iUm?i
zmL)5<0-w#2pA_aB>;c$ULOzQ**hY=#WD~OG1R8mKNvCKr6e77i;WoOYlZ92+3duFl
z4tQs$&1?h0nesdtf6=oN=&uar$qB~AZS%UhpLs-1Jmt6HQa)IsjVEaBkKfqyyPaON
z<O@0%{V3?vL4Uq>N%beAHdB2v@#MN-;g&qz!|~|(i=D%MwcZT9g_d8hHd@}HJ(YzH
z9Q1i{<tncg`sP6giA<Z8YD&ZflsA%1scF6&SvB)8*euz0p3D_LJRbG}-wGwVk1Byg
z4NZ#oObdxe9jaH$MweGY31H+^Sd6j$@+JAb&3ZCfzf?4fdP~7pTQ!13>>qUqZgoPC
zu{`r;$W(NVQ_Wq0eZdW{z_RuPzo^`;EYDnnLy5IL?IE&{dfSf~Wo3(H)hBeV$)pq%
zUgXfHFdDVm7vs1A0i{@UL-PBbZFVlk$)!PCj59$cnqWo#q~rgfo0cJ#<1i9+EoqZ@
zxPI^k8~Vx|t+4!XIgV|x>&tNzqtn8C^za(J@n3K@UM0FH^U+EQGvA*SYrfc$Y(pTy
znVbWqEwAl+b}=n0HYJa%7Nf@Q4$d1^V^`fpJ;SYCrtG9?YrdA8N4|?C&yv666^K}l
zA%m1r!0p(vhVz*O&h!rH{GE~OZo>O!{mAdhO^E6%2`;t1R-UBmCnvHZF#2O8a67jn
zGM2$8K2Fo7^ec0ye0;A>H%Fswi94g~NcLj0?N^#`mOQsS*YVS0Dq+y+x9XJzzv3UQ
zwfc3xUV%%_&{t9!$~a`(ZdLG*vHhbC(YC@6snOGK14h<mGABZD8OvnwlV&U!qFJBr
zo8kZpoh6@j^3OF2b@wn|EHg)m%ucGx_)?2yc0$2UnCR@L#3(iMmVzi_=FO7s>ZM{b
ziEq4QMS_eoDNeLi)>48^Ih};gIiEkn5nC|C{zIBHyX&!39%2`QN{D4A$s$f5l!X)^
zmJs_T(6ZPOV#n_+O3=e!G)h2!Wkd<MQ#^Eppx*@--XE6;0i$+=2*G>vY!{A4y-^K)
zjHK*=JI>p6FNAYyd;WX_)zADDu=DdO{KcXKqn)`(W!zjaRDj`EfJIcPn$6n6gvO}%
zyJW60vn53Dn*j##o(CBCqm*UT8hAi9x_p2k0gQYAi!lNWXBT4@rp%HcLz!%9pkZ28
zC)A_zMsM^-osG^2DLe$3iiQ*(aaUjuDewv`AqD)R^0N|Bm~{+8hJ#^Iz+AL5kB-z=
zjheGZl4>6~0uau+3%iDo(!MZ=vBxDCs@Zx<NC0%WAG8&#xEdlYI@~tq*B$PWZ$ish
zN-%P{dKdp_sk?Y&`U<nb4~q4dh!EJiEMW}tb|~#<93kK$8eLl4dox~fZlP}2T+%x^
zTjfRww%kfhEp<Ljh6$|SB>R#xw}D)oB`?8$3e6{sXRJU6_B7sF05&^TaDVNb74*Ni
zz=YQXXnI^!K(y6xYJ`CM#_B7HGBpz}C<Czw8k~=rwsYGcKWMO9D)7qOP1LxophZb-
zOByo3Ckz?zSyRR(hVQTFeBLPKjozl~3%5yiUr&KtRxke=_>ke{<0q9t&E2@Vm%rI;
zys&4|AM^%!Mm2_hR1_I{blmTMBPBaKsjAmY`TaF0*a;l<`z2~Azdr?9hTm^Vw>iZr
z5~w)+4J3$JMxqt6Jn<`YU_*qtCyv9QpeO#)0;O_KT!?{Ep12Uoa#UJ8@xwra%M-`%
z%oBeQe^F1I{#qVS`~bUWuRg3dX<2HeT?@9fmm9F_{f0hkDfd)Ud3~UE$AEkb#=Y%Q
z!OuZQsq#l3?e0^2{z&GH9~qBncT11YGlZyvnnV=Rm&)6&{(4jbz+*~jhstt*%-4-v
zI^;u4o|QX528pK1Xr+0RS*kgO4yE`9cXR9xt(yoSFO8&aFUiW2UEEs)%G7oc%LVk#
zLn&BGvbBP63^9z93>fldL=BlP$w~eY-Yu_}QA~&kA7lInHJy<B6lYMYyOFst47D_0
z%q9u|)oAH9Wigxk?zCONtV}!Z#$QxB(qGG?9dXvrL*2N<Yr(w;*2^vQBOeyCE$!WD
zg5VK?)!KQ>Hff*Kfo_j-2Hslj3uw#ag|rZ<zjLiq=D0QHl``)*-<_5qWoXT09myO3
zn7%6W=VkLV^(8ApNBp3XZDfVXDk&UGLb6psZ5sZnh);T$ydKFmMEoW2Zh1v~@ev@z
z{1{*Irf?z^^_Ou@8Cukf0zlMTy05UPe>c#<ME!g47ZvsN*Yb$^H%84xKU_vRf6G$(
zSo4(H5rq6%c{7r{0z<-2B(Fg_@h4r<JjnS+c+R?{am)7KlzHRNjITGuF)At8KOx&*
zO0a*%$fm<x#C#8)p+Ts~>mBmp`s0#<9my^#*pu!hA4jqc!Tz7&-SP_df?O}8`U`*u
zsYw42=aHdBx+nldx~1a^i}b$-I+#fRF8-n-o&H)LkzS92p6}JGq1RZ>%a51#=6i+a
z5yX4$b>CVwhLB%xegsjkz0(E$)X%vB2yTJDTIL<+%f>alOtCLFCD`rxZ4!ZOu}_Q8
zK|j^VHoDlSl@zw;k?f*kKj~z05|V9*{U0y8*e^92gz*3T7#kpo+#B${hbuV046Oo0
z0iXgbomf}}Tn}_G6>tOoqAGy?a;ktNz-Ri6N{H#J>xCR5&)`p;%_xQBO1Qx~o}f2F
z*fvYzXGY!ak~;d!q%PPX%-e*tx!{%YNef=+?_?WIck+o;ST*hovRMMY6IIN#LIN*1
z2QE9@ae(e#SQpF&tJ#D?a31vED%YtX@nqQP_iAul(0RzYE9043zXvzwL{<KNZ@fXg
zX~8=1!QOan=tohreJC8nC)7K&e$;G*u*R^{j{J6g5Kq3&YxQ9>=kWpG|G8;zJblP-
z`#mq}^dSE<crrd*&$HNthxM$QDwKT(Jg(!9{ay>6Hb$LVb-}CMfnTAz3EU`pY!IK=
zfZK@Moyb={Ubiyd82YuS-CwL8g?r!@2k>SF_U1Rc)mmq95weC*<ScvRw|x4hir0Kq
zX@>&IP$SRK^1_h5*uYk@S6lvJzcsjSRlF|nT9J61h)?j3HUTTRY^Wb5Zzt;hLjMqy
zH*>`6wE-(g0k*^<yqU(+0(@-L;GTG<+3xnEDqK+1sY9wkJl&5PJO9JZunE6U(LYxG
zUa!-u1~B*D@_T?Yl3D|cdsC+$>7`82QU>vM<BL%Qxfi%Jo?+!CG>F`%=pT&C@n&p8
z2ta|f=(eCugLq@hYai-+hkQW14$rIn_8{KU^I;Wgy;}FXz#mWz?)2RoPu4o^1~d~8
zY1ZM)48PGl3KmN|<MpFXHF*`UY64SjtoIkYu(*{o9so;UG=b-OZP@w>#cZN)0Nr+o
z-JiVbhJL@^sUBTKmfGwe?RG-Hs^+9zQj4mGn_-i&=q9nt78=5-oDu^fI4|A+jR|20
zcu}*{hC(;;WYtEq1&uo}h_~S{s05bdVjAdSx@Q-<e0|S5A|HW8Pry+HoYOu8jM&0>
z>EJahzWFZ`@l4n6Rsj}qe-#Wwe1j6Aio+wW1X0ut_w3qr<j9fv?lIWh+@A0B4(+P@
zhj&5BaMvI{33E_VAV)Rw7onpf=$N(ee&<=c&j(~@dX1V<4ZcaLIYm?x!TykNzUfB|
zT1^lwwxEjX$XkF>1jh2<y0!6k;K{|R9G;T=YS={%xi{V%9&1P5(Q42<6tv)f^cY(m
zWc>}{qSuS6Z|cLi4gshw^qD<YTb-K6q1|2!U_VU_I-ZR;K$$`ax$o$Ap^6z0N>MWc
z{FxlM7r3WWYqlG}141yIh@v9wFX-tu`-=;(u{w;7L0y3l?(DtsNj11Z=Z>ns=rvna
zuU_x@R5IKXulC!A2QYgSuVo?v#w4&8+$0FwYk--UKTMh71gHquB?3tatWftG;ovPG
z#I(0K1xjB-X$|=R+m0K}I(<KdFWGNWL+x@9{)F)~zK)J{X=eIiZy1~o>x$@i&@-<L
zrsGNOoJ*0+*Bm7?FR!GIv*zwkG{ePCeQ*z|$Uld=V8z=9p0_p)w^N|Ku+j|XE)N6^
z@)VpdM!tc6&Rq?EcH^JhC*V&N|J*kTf8LLOet>^|jDPm6g+I69pRa%gK%T%qccM;z
z8~%9`|NJHX!3$LBHM8_&aC+D}J-ve-%|iDw(jA|4%_3cjO6L{n+#|v8Gr<rw!FUD1
zm<B-;mY|v2k2k7ghj#qNS`)Mjat<&9dxIiUq+=YWzG3M=2*FreT<EmqaHL7M8ZTw)
zX|2R*Q7g@KqE<d=yIzFq^(3<_{$)kH4g`3u(?{_<h}VNb(}FPpZ2%=cbvb{397e$}
z4sHPv)b)BG)L;OFpgUNFQjTk{*UQ&*w5@Np>9#Wv4~J0duB)S};Zm7#!u<aSc?U9m

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.categorical_column_profile.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.categorical_column_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..9ecceeccfa677220ca431afab2d79c66055230bb
GIT binary patch
literal 60550
zcmdsg3$Pqlb)cm8(|h{cSc(1g<d%u!k*)Wh?SNxHurbKNA7NS8mT@A)xZg~Vy02!Y
z$K5@Wp0SCkT{bp!Y(SH(R3#9=S-`0zTeT@t28>}LS(YUH;!OylcDLeP;-VI|$dcU@
zyPM6PbANsB?a%bgn+J?krFq@A@8|sPIp?1HdwlBG-u~T9^k2Ly?6_Y0+>%|dxBa>k
z_TsH|zt(Lz?WlLYckrFP$9k1`Hn7izemAH&y?7JksJULV9ysmZ$zHq@vqxStT;k<t
zLZ=paep?oIr`&0G=47wp&c;)b7d0K_Q+(NBJ919>fmgGe)?vTdZMCgqf#2{T8<v7X
zllMF45Sqfg@9I%lp|OkO>5dK1MLl;<JX@9MxD)X-$Kq%_+4R~@?`U_`j_2$s3cS^B
z1lS|C6J9+;%w}p$I}9Nao~PP&i#=_vcRR_;s$DxBI1S9xjb|eJ6n^TtyWDwqySvYw
za2Mj$<>R3fgv)oo<(IC%>F1U^fltEax*gf@gjfd40AaYyAk#i9i5%flEg@31Mu}AA
zAD4m<5Z!-dOLx`X6i<2Wx^qsUFC)EsIUwd90BXJx{$C0IuY&&v5lNs^;8D~n@npyL
zf?j-6%ddBv&TA|c%2L4e;u~4n#lefZ(?_G8-F2^V7ZvI~)0cV;$Bw#zQ(X=0cFolY
zh{UEO4wnlE*jZaa4geY2r!2oQ1lB<Q%|QOycoqcDJ{8y<S7AZCeAsVCw$~0VDp6L$
z4=e>9i!sy^z%DVl-#d7@qz@bh626`Z;8Ax!ig~UGAjMw?aymAY7SaI}Ut$VMXqa3a
zbupg~fzzN~;-iZ0;i{*?Smd<_7lVVn`0&7Dzmx)@m)Q{*7omqwf|9N&(j|23CeXz2
zr5bvmgRny=dE(nstyEA^tym!S)}z)@zwI2d{0^$^aK%zG-^0?Zn`xedR5B|7#V*>G
z-ERAlZ7BPAnvqaQv3N~{a~e3<EGL}t?73ERCG6N}dbV}~2UO`9r-w32pq2*Lv7Z<N
zEs@1(?3qB#?TngWg3)>iv+GX9*AFgFg6zW-)mik*`7El$+d$41fgcp&cn2at*-qab
z)x@}uxNk>(J(lpxeU$1Xz<icsZlb+MkwDfj1y&hfbfDi?1oTz}nnAo38_oyz=`3I`
zqQIhxZ#j_@G(E7q3bS5?)eYLEWRGIKS5~f8yxXi;7NT^=E?=dnD8Nk81nNNTjoFJ%
zsDGVLsCaX`XR9nk_Wd4E<XI}Mub^bWMmybhE$XHez~&XfE_l*g{ajJ2oph@&@K*Q6
zn=PZNXVt3Q-xro3o=bF^q|^3})2@Tkubu;EO(8A!j`qeAP{^qNn`-^}<`bM_r&0G?
zVBdT3md+ZuRFDv@bwFWF(Js-WSt2_)<wQN!5;zKLE6h{s#n%no$x#)qt+2|EB6Ge0
zWO@;plR>5zRW#hsN-}MJR5IyN1M?rKMGVaUG$k0wqP(^Nq`wj^N?K2%xzU>>Q=2z!
zDri;pSQUD^FDt~J@K=dWYSxfSYxjFOlyh{~;ZrFrx%eCT6u5+%`xubp8NmDF0`K^W
z{)UwcY9holyo}(HeAl`YIao}#Of<-qPzV52L?O4olAkYbAX6Gd18HHTUsN_L-S#3y
z=X0-vA)gkYtgJd+?k)yfVVl~0RdI5^qxIUXCi@B&xsy`b=s|@{$)OprYg4>O>RrF%
z1a{;HiYALU-z;PWo^)z73#k!r_EUP75G*p^hm!!+Y&`9?=}=m=J+y-h+mq4T-&qV0
zSha@TZAR5IcC+i~z{MAb-A>03qH5T(gXrO|kHhvSK?#yyR$(sPQTu27F!X5dXmZCz
zDRa`sAvFXIz#jI%_JD%{dI%yQJ<SP<r`MtF-S4>5@zzGS*<?ojJgWS<yMWLf*$mLx
z*r%wBFi)}u<4rYyBgRJ+_g1NuT5qr+wy|O{GqUnfjuBdgTt>tp2$!%dbIgwM5%xoG
zwN8ktl%C8oJp{o98UWfG&+ujw5lxan;C|1LjKqAzcZllO3n}X-v++#R124{QD!qt2
zhwWq3X>a_xb+(gW2$pZ2Ja1s8YXykCP}hWc5MbRGnRVBM2!;GpOvwKb{uB-B<7w)Z
z)Q0me6cbCn2rVgAR=70Vpnm6Er|H$asP`nzaMljm@Tj;p<fB+P@m1XOno?aig_-NK
z5RdKf4|^|_dFZ_0gl@7<BvKPkK$q$j_le6ypGbE(D&^$UzyQ(Z$+zK!3wOV96nPo*
z(g0>w{HQ|y9deesyZwdrzd+tn!b)DmT2<-$J4{GB)Vb0}z6k}W*pa`6C-*%07S@n~
zE|(qhA2AzMqX{E6pH$cYFBwcwOn?zm#fl-GrdIqr*alP4i2`0xcxHqEt+2aF`#**w
z)4Em$2-j1EbP>qzEdbp-*@=I0Ic^RIF=9C0-7b?UZ@AZ?L8f*TTDIVd*N&{nb!bE|
zbRz4l>(yM#qdAheJkKqeGm5GbCSA^$v@j@>$UZEw|HuSzI1}T=JKJ95*-h^eN8pP#
zAEVLWWkxVHVA<`u<wc>>Y)Iq=ES2D~$ndykSUje5JZ9s$hUYZvRU;U~2b(bAL_aGg
zo_)c&C|=TxoXi~)0iIBJ)M}DMg<ADr7z7V;m?3{F{$bu54#XrRtA2eg1*zh)Eg+~?
z<vu!7anM>^w2oo|pR(XC7Q}(MUsHvchTlG=)W`!t!ZW9s>-fB_G(Iuv;IQM=yoOin
zJ&{tp=&Zbz;rk%`p$2Y?RY?>pr5}D$l}_UCaSm>ZcMEi!R>!qNFH{klX2cMT60bT^
zXN*R4*UQjsBw|26Oo7hNs+uWg2s4Zl4Fl;zNpcP<CQbOsq#1^Ch$PtNgZ=2WH=eRy
zdi=Z*9HTX8bln?o*Mvn<$Vlg{t7ZF{x_NTE53NuZ?t?r~Im&)_wXjNZ3(NYN61CpM
zvI@=SF7SDhCE@gNF)B6x>7I!1M~+#Q9M`{=XnSK!ln(A&a#k7Uh3*(Zg-cAB)LBxg
z(Iwsw>3COMM<m316@P;b%Xp1+WcFT}Z<4jc20`pa3JdMCUqYJaItmr{H{B0t!xj-4
zgP1z`V_7!-)L72haGKGHo70kJb60WESi4H7q8%`2rljg5{3}U@Ebm&?NP>7U+oceX
zd;=>$Ad;R$J_l(m8bLk;4k!6A{Ai3I{|Zuu2{%Ik;yn2n7S0nQbb28oG3HFA!?DkE
z-gH;Vvw*VTaUVs3D(>Tu9oQr)fH6P@n^?Grj+|ztiZFvkd_IBvAAlvEfq)Y2ljQ&6
zE1kJg-e=lATl9fJFt<v3CinH$s}0|J%4>U7uhr=WUbHqEwaER-HPDK09)(uaK-A~X
z2U3rhr`4lTHPw?zpPv<&Sfa}-DSCImbfQRO=5_Z=WU2TI<EbkR0#c=!7@8f%XJ&DX
zRGp9&Ns=tRS!{X|a+0gC8bgI|Z!~>7;)@{!M|ZARTCxt!4TaG3XKMn7qQ!SZr5mlq
z`^vgd=NE|FQN4Z<=T@d(S0m$>-0Q&lnYML1C_n2?uKeW4H|MLA4012FGf$3{77ipf
zhEpyiV&5%^t&Cs08bw(E<*dDCMLsNtYu36=aIfc@-f5@lxxQb=fvw%PymrkG0+>-@
ztLJdINmm@u&sN(x3pv6F*8bs0c+R$986cQX>x><E_G;6SjQcUQo(P7`1fx2rV34<A
z2^PZ1r0Wy6gRl9OXDZ&!*S*HN>)?uYtl}NCuC^-IS&Q`f;30@vIe}w&NOTNk33rvz
z)Crg7-r`uWXx54X`wXmB#ifvu8~EK*uE;AQL4sA7<*XOEtUkIXRjAFM9Dow)`;7Xn
zVW~d@eLA5&Spio}cMZwwQb`qZo01mKFvTLnO7dMoNyk_390WuWQ+fv$THqGt2n?~w
z{Yul^c};@P2XI!_f_12Rmjst))n4@=;<6@qSt6$dKQ56O$oT$25CqjYPo9PnMKcKK
zee(bV5<(ponJb<#D-STdy+o}%z#up;2HJ_i&Z?ge1cb$re9^{h%0K`XHqv10nm!I7
zn*c!aJpOFPpU>dW7Wp&*PowwwPj=f73_k5}F&MeifA1)qejUbjc>U^HR~{5G>mJ_i
z|4U#{exM}JKm2o9D*mJKbo)&T8h-yy^E-3=&19)ns8am4q{`r)e?n36U$L6?d;UKt
zgr+}d6F3q@LcR=@ZnWp$U*3i5f1$`8_5Huf`BmEYKMsqUqz;rWr11TXuToOUu1OHD
zd9nll<VHwU@escM1x4*Sjy}x!Bp%0SkGB(wS~b_Hoet?vm@8cWEO_p)V9D}Vad|)W
z?nA5YH5yJ}H3D$v(OI!!uK_r*SIpfDD^FnIc@5TDA9I3W?T~f%5}l(wV%MGEkahc#
z^#D5mxG%x7L+iL^(3a-zcWl_e2Hxv^xOX9pyjpn3dcbckS=aykA=u{tf33>(*IxT-
zaGN`wCF|8UF5Ymhlz}hg;qlVrzd0BtFFpQ&9~Ul(#O`MjyKhj5CG%K<4N5Zked}>K
zC^^(V2%{5n^L6mBVpR@%<lu6pef8DXFSZZP!5d_}&hi?Tci?7n$hww3-b{o8y8en1
zY!5MPuO1d#90VlTZsZ`~mO(%igMimyp#^SS1{ef%Rc(he|G9&J{G5`=$siy<Gm!C~
zK@g;afHy&jl7j#wM9D$GjU{U3g8;$#fd&D>^hmx8H3(P(DA^$35qzS90Q$5sgMj-`
z`Bn~&#`%ZMGOk}A)hsANwho8?{pm12#g*C?v8Q%r@Xdee31DSI9b3<CH&4{PT67ZB
z9ge<X0mm(1<Y1*RTN|4M#wQt$%q?awvUgEu_&mr!zJF0127g+X9oNY^Mjh(Je?){}
z;^0TmK+d;hqsP6Yhk>{8`x4I`S{uSf8mYRp{Ep;!*3ik#-jDE6C<OjnsZAo!6*rK*
zNrX3$vEc!~sM75w*pFs^Eq1K*u9A_|tyBIh1}5cJ6BTSj83~NVE3|P$f@_fegbIKG
zagnSfBUv*fCe|>()+q83TCK7>YQNkam8m6D9YF4c;;Y!?yH5JQD<*w5BHv@cl@j`Y
zDsCWK=y?MfLXTf^gnp+^7*3J20B;rfj5TAIOzBk{JRN*9RMJp6QQ89l=(+^fwKMCs
zSy}K-O<ScH*le=$2GS$};|cavmy8>VTNs=itdU_!!M4WW&P`>}IVHuN#ef!(!sv^I
z(w-xX5GpyXEPpB5UuG8qO3p$x=6*`C!K}DL01S_-Ft81sV)<&u#<H*&lGuc#|86n{
zpg~VXM$)>ie_q&7MiMuSd>Fevb!Ws$00EtV))u-lA)~056Z2jnDbyI0x{|fP_6#EC
z?}f&ThH9K@<S7I)n-~ch$-99-8yy(USlCAWOdby9OrpWWn5*i(!NfyvgoRmjdK9Z-
zF)J4HN)19n8DAQ#kW_8tQ;d|)m1esLJ&x%*Og;*r9Qg!C8aR@km#y@lm{r&JbM2xg
zNg`9V{N+I?EFv?1f`t}@6hYr8o}Rr!^YS5NmMlDGvs85TKLl#<bR%3p(MU@got$UR
z0y(M71;@r<fg^0B>Nvkt8fSH7`yW6lz6}e6P3#8vPmr3k8vs9PPLQGMNLR%pV^bH$
zCF6^Z&p#Lq<-0@(INuTQ_Z0B_tg0RzXh*;gq2heHQEyxlEwv*cMYEh80U7yTSw?^)
z;o?%+L7ST`C7RqE7%&wyPrlWMvd9EJy^kHKWMuD)G;9CfFPC9(>5=aeb=vQ*pVoyl
zUl0&nzSU<L3zhHp2XJjps<ZQ{5S;RmYe!1tl;FoDG6UZZ4}u_#$leMiip;#iHzdS}
z`L>O((^K~=XlarFlz;Xh=n4M44GWd$-@snlnbJV1+J$U~VsrzRu?3rvLO;5K!PG~;
z1W;igPEwBh{qu>QiliHe<Ar*H@EE)>^#jG=g~uj2nU29Tl1{T&b=EQ*Bsq(~KZ{Q^
z0#BbdCIWvvaPX9ik;mZg8pZM(2HQHK@VBLO+!Dt(a9aKur&{+yT)bJYHk$US6>HV^
zn-DgCqumS(;^xx=E*4u5ueuueJaA9-F?2Ov96NtOmW`hu&!stnLPqrbivDD05t}5~
zUA9O?3E#dVs~Hgr%KoS`@0*eV1B9~w0t)Hjr~LDdUM_ARJLbY0$Oxq17gg94T1=u$
zGu#a?7h*x|qmKJO8g=P{JIsKdLQpPl^+QTSqsi>BQZY4P<Wn}RblHqfJiYb8uu@+b
zw6M|?)hj{{`I}DsL&dNR5m;g%=G#0qu=MpT>SqL@FtC*9DDpLw80_ifX>f(*6w<&>
z%8^3khmkxQmMtfFw?pGao{14k%0fROGWjHsWTQh#Kb>dX=&_}+OOi8&hAuvhJfcT~
zWb8Incctv)-Y(PNGF)UPOR*&nBiH7MUz&MrG`2AIrj63I$<YSIpR7T<;(izQKhT3a
zI)MiZ&0tm8Dx8vF!{!p^`ANE#$(qpmaYpNR3`%SA7?xnGs1k@Xf>`}Wv1-7oZw%}G
zg8(YVLQi8MDZJ1ri(^<`ma(@gXmlLAO#@iy++p;pj>oCC;6Qd<`XyYyIX*FHg|6Ri
z)~!{?a?aJ7-MRy(k+f-8RqYEEJ;;^qO>n|wf0XQ`!^Mx4CXqU{B2X$F@_GhRb3$JD
zN%Ig4XFv~m&2Z`oTP5Fh*q=8l)h(y0uyKUW!&{%EK;~yv2cQFmw_bpX^JzrGTarMj
z@K%aGIpM90e7BEEyd-hskyQzb*@QT;Qh8yr5B1@Y5^ll1T5|9mm#CEwzJ-b!Xz(p8
zoKzhdgYT~c3~)puT_~0{_{Q&S@IA3r48G~p#tgn|uoW1Fp0M&52BNi*4Z_)xUUE6y
zNOr>Lkgj7$en;AC(d(v%qQJ^HAjly&DXQJ@U|^1Ke9yF4)<$(x#Z5NKZ>M-OwB=rT
zJyG^Bs(SYUk5!$Ruakt6jHhG#v@A8Q`(|`{!=)b3Q`}@(;7;>93v-ysIxVk}RLL4K
z7l%6%iju3b8Y5`%vlvS1FA!WFlE}eaQjUL17I;nKH(}k_i;mCh3-QTW%yu&rDjNZ~
zr?`Ra2mo&&BLaY5R9RLd0CW^YT@u6SV+4SH)Nyx=y7K#lYO6;yrEgOj8ck+L02np$
z?V0GcxE|~#TCK7k?6Q2-l9HBbmRHD&c-5))L^0K}QTXQ!tWqn%{$+6k*%HGW$dDNP
zk|QzO6m`pqQBHDx*QnEAqY_Hk0Ll3{qh$uF_(elip?B`_^yCXhDFc~odKUu$${~Z0
z84Ha5qPXo6ge0$kMM#v&;zoe<G4<(lb8&2rt1=lHM%OA7;S91f*()7~`yYik7sla=
zr5r|(S{$zL@~+8QU0!s~lOdvT3_ydP3K!F=s()UL!eyDxq$If*NV?HssPsJYlHow0
zP~o9nW4ig!zy`u7c$)GhTv|c6(#LnH0kvf~=M&C3m1l6VorWZYO@pXrVe_CJtU;s!
z;uG4@rvsOh=7=n!{LYhW3dPtMp2M{31;(KYM;|z}@vF6N9fZ~*(seTyTHsD^-afk7
zc-tx*$?rtjXV2mZv$J?AZ52+LZz*S%!Vm`?_arL$2K0Ghs}%^{2?$2Q&eTKJ>)UH5
zX^2b_MS9qZ6jydEFTEjwFCH`^V0~TbYH8A_(VHuwR64?S0#b7#T=+>d@`k0=BV5Yl
zM79$g8P(}F!00?8w)HRtFF&j5^$Zl-Is+BwQ-_*tMj9PUSoY3Ck*Njnzd8(locx89
zoo2En8WyioJJF%{2Zw3>HwK_Cc@i?0T)IL&1bK&`?v_I`%z%$NhJQE=hGpnG0ew~w
zmp<$5esP#~{|E{dO@66zI}l~RG!$jY46MHtf@^M9_|L;2$O#Khs(I2ee$muMPT)5q
z-_Mp*nvy|r*%Dy9&Gr(nE-!5RU>_!8*!BU$cAnfvvy!*KA2D5<G8b=VgI=q0TM~Pt
zrh=#A?V{)!;Ry#dcAqX^=NVY^dO28vj%O+)L}Eipef~s@r8&37t0WoK7Tf1^9_1_8
z{9Y`U1#gAAax4gb(nO(9&rKp-L`P&VI@AY@>hhsR&hXih{S>_XtV8$2S3<@4)S(uH
zkw&*56A*P3NYZB=$D4-1k+Yzfx^z&?rGgFE^p@`$rsdm5M%~o#n!KqjfpHI(sfALa
zm!pL;^4&Cif0PuB*HH<m6BDZbx@xKqBT~AmuuAe~rq+&9wU*y`uvWgl8(r^`6IUxV
zYyX*Xxt^O#t$decrpoNS0|_o)-~FptsNYB-arIw$j9-_<PEJ&u`HtVA=U>+43WQR5
zB?@t=>>v{#9t2Ig=J$goWP)=K$uVN?X)C%p2emXw0?NhD4uYN-?>&!&%5yPedkF>1
zP@JGoGIHwR{)f`w4r^etVCZ9SzDBuN*j=e$e7S!<(XElf0|`d4Ug7i6B9buBe6$D<
zNrq?4N7F${!F)7+XY<iB+u(^V2B%LOGavnc*r+p-iz%Qoyx9j&U_XMP2jLwqiHC5h
zmh3m{d(nj`mOJ+xe`Y+_N^^4XdDw?^hg`i`<I?ohxhxBz9(68UIU=6xG9^V<4F^E7
zRIfL`KZ+nV&Vnz<QWpl<lj-jnm8PIu<-1O{Yb5~&pYTqIN0zY~I^mrxWYA($(`@G3
zh%Vex*t!~>%4S;9ZlVCmPeG*{JzG#9!{D9KX@aru#&mw*GR~pC^8*LO_A=O#$3+j1
z9H*ye(_yvr)Jo)(GD?04+lMQjN(%~-AMX>q6icu<j^h#sC5-I75eELc;_kL#sg4I1
z)_Kh)jQ7J%6Hi+Qd?LSNotBy5ino>@Mstn8dAJMr#x~b1zgFwQq3d*|C0;wsu1|*p
zqv3=_iT97N#e{w?qhDiK`r$=*3H_2@mJz)X7rF?M0VYVbpckyLpmE_j&W{1a%x8E9
zK2e{6KIQlfoZ+|zXxQ7Veo=@6aCp?N!_iT=4heku-oxj{(|b@+qjsdgf!KFA@wfOX
z)N1kJeTZK#-Ahz+)RU#+3x)WJ8!=~47CZ?xNh%sTn*5lg#Nf_ELPhdXtj2UE=#7=!
z2?S??zUr-iqOkQmXCkZJL|c)kpwf+YCW_@*_!Ad`Y*ClueVk93E`?&DFXA3WB7xGB
zW_^;vK)#L*%#*K{mIvW8ycbI_pW)9Wkof}%C?;&4zzJ-gl-@*&&{&qSd4CIyGMo1@
zK2e)TpYm)T19&|)&lc2$drDyJ3NFy-ZQlc<w0#Mj`8M$1kGBm}QS4_6f97zmEmW%+
z-X?C|4t=83;q0nS{72q>U@^{x#*D-^UX<=TVvZ^6lT=XDR_-pOYw=3+gt}xGR%6;q
zoU0U&WDmUe7q*^fE3?{7v>f>dVERVe%5w59Z03a|d(?LRZ{Dx^+0M&_?PMAq2I6>%
zzZk-<NkiH<pA=fMf+90dZY(W1!m9odVP;nK)x2=gA`Qi=3T(luN;yyDt*lkO2O4Eo
z^%y=;t4g2ptSSR|Jy!KZx9ve}pc>$<3L_s&9vg){RUyo`q@N#8OR6K+&xY<#+fcoN
z;jJer-CI=a*^s5;3x@%T-Q1p{E{rPmM5%VDtz47z7<^or(2|_PY7ARBMK3HB#&U*V
zU}}V^f2FYfJZqWNa-zM+Ls02PTg!fuE$rllA!XD;);O>FS;*_e0TEP1gMnm1DNH0@
z--t`u?N+DhR73BP<YvqvN=k7i&mefPte~_+2`jpaC72ccphU6M*i=vitf=e(i5!--
zqR&C2%!+;zpQsh3PkC090XzyTN{6LC(N>f~c%fQRj@<B8lvgmk6@8HlyjZx9FZQYx
z{i-ZA=2lc?K-!8X)K#n~OO$GdTG5vzJqEX;2`$OrU^Rvnoq&Bm!iG+*;4UD;f_}fS
z?K}&b)oP--$d{nfAD;zfB)%{#sE{yfLH~^N>L=8KZr?#I=p6nj6_*kg^iQeaQWR%+
z;gaJ}K@qT^Qu-4)ENejzK%>lpUV%^4g3_lv3(5dqj|F{;7gk$#1S9`Z&u6}A6k|{U
zUB2afVLZp531a=M=4I)zXHs~0i}~8py+gH_H_B4+g+chlT5i>-3YIcS(5>VVNrS<y
zWI{i37gl3fN#zX7y)ndP>4B1Z>%UmodY+xkYB$kO<a(%dqwQpo919yc{xU_4$E!Jy
z`q{@T#fqq)OHXR!yNlpFJ!RfNMq*3mmf}LX2*x}KOG}KfgRjC8Y$Vx{sN}oUP)y8n
z3e3R{O8HLYtgIb;H#ExZ;Ct|i+Clo1X9pR;>#>6m0`04K+V^PepxlT6Yl25&2nBe#
zhLGtZw_s6BMh8r4rG`XNhT0cYhB86Q7acPEHkXg=fmiV))rVx+aWy8AC@Dp*?&_N1
zCwUnoo<ET2XW5ZFO`Z^q{2QzQElASC$ZtT}k3o}5LX5d4mw0gX_W{nMY)yXoW3U$e
z0GvGlt2b1BDGE_k017dKU5Y}Sl`13ayuQB#IG9HK20l@ZNS|^vBG(4Pu5-M<ZMQZ+
z6W%e3ApwH64lS5*FBPlN(14RN6|^6F(KX-qxo8Zd`MxX5j_aMVj5>z<ItM2r@WTsf
ztfvB`+p=OF81PRLc`l{tZC(>lk)bVTc7n1iHJVp9b`_k}M%yTNWHv%fw^DEJi%Y2k
zxAqs~l6~M-F%SS=nv7Z7iLWhgTREyJkB+Gw!SNsmZZR|xi)HFgb+nmu6Y~F1XbfBT
zGNf&^t;<sv!p@E9WpBLu($UIycz+z)#)%5R#$~Xnw2gZkNG7v!ReYj0jy`RSjXR;t
z+>PGpzh@MtPJwV87H=UPK+-BU4Bs~MBPek#O*ez*3iV0x03ecO<9|DzVLXjihBcH^
z9@%E_S0wWJW-vWX^0ZMZe^j2QzFqw`D+*;fGl&qYgN-89ov@bt3k2Cv-9DskwCe67
z_d<hT5Ryj~`NLc`hF0XF0#M``Oe?L(KLc<uMg9UlQAJLlHb#*@2q$6NsBTBE#YYml
z5#X&ug=d6rl3ES@y;b{yp&OZ?YwmAwaT#U+^P(&}uAv)AlvL<Ou8q#t+kY!j&(+&m
zXHEZiqu9C?H*2Jv=0=#yYVL%!<l6|dp}D^TX&bG%i^N^1?J=DyP{fYv?5}aL7+PnG
z3P5LPu&cDr-nUEW>;-(HI-5RijLtqDd96|Hp_PF%h_&B23b&iWwhnFmQ)!2rS81r~
zsU#WnG=I~T^bNp`{IEx{dwsnu8-IE{-D^%C!?8||jmXx}zaa4*NJHOk6#J2CXoR_}
zhEDiOZbO(24ZR3y8?B*pMO>)oF&8+ho0qvj46U0*1)!TV7*$#~za8LU{`8~xM0GQL
z+8Et@B60%<uImZy#s<s*j3h9kK)4P)oiRYvDmJwBHuEC}M$|N2bN?Ebo?+bU_sO#3
z8W>UOlJc<WvKHK_pRK=tTVkKDzcW_G{H{@K{ra0WQqIFhn9J(#guCP!gxS#FF{Ev@
z{_Z3CLW_@SY(y76s>`3^!ZEZi7Zrdm&tO_<UH;bq2h-)>!Y8WB>C?vO^5fkOc*M?6
z=B?)pwsk1*ccmR|j&HqD4V?hC=&ZmI&F#7kC-C`!v&7Pt?xUaJjOSad5sVl3RA;hy
zW?CQy8V+oPc-76r-*bT+#yosqmL1o-Wd(((Xa5m#5@7r@W%$On5hT~2l`o`Tojxm@
z65A4#6rEMub{CDoa;`|5fkH4TtIP-IUy^=laRb@&!MuTt>xl4+I%ZU^NV_z*H!v!s
z=a36Z=u}!ZT3xsKEoix%O}>V*z<?wBZYM^}{<G3}!`ehvwaUD?n8C(ti;|v7wjg~_
z-u27F506R%Wz7GNq;8$d500A4BZ0A;JltQ7apWnu+&zbPiG+~<21<CN-L#CG&$;I0
z9vYV_>f(HlTZK#)N4==&vg6b#P)=SH=P}B)#zk4AK#+H!FwB!jOUnd8jn^+dKc3+z
zX|*W5*Erfh?~T89>3xIHSRBLs6c$<#G6LqP_=549q)D_YxpsoyjBy*zw!!9SevBs*
z8{@hp#hi+hd1d{^+OCh5Mov9w`z(}7U!3$2NTqAFwpbOT8T_Q#MZ?<Z7eW-6AC6B!
z4%tWOBI!>X4I3s&u^rGs#0448QAF~ys`L8;U9t2Ts5qaF^nwgY#MJ!_DH`V7-;j}S
zcS>p`mE!a_&?{ygiSotama*WL9-#hPeQ1W{<tOW7-zXZeW7b>ncAk0i9-4Jz_agi+
zs7@8bd=?`N{9c3~V4?C|`BJ8;>ghWRg|}OfBVkKHCZNmAo&gY{{F#Ij{dQDx{vg65
z=8tyE0q?_FnnaxT+A9Y^Pw?pqEL5IP8TT1bzzod<qsWY$I=CyP!BsT}`5Mr<<n>`$
zF!WI*H}q#X6^x(jpHFmLr0_t3QK&WuzxhBIb1@t*F7$D@auzy(@VF$ywY?ZLCdBAl
zaPtAup9O?kfEWu1(Wk<IP#N%Cn`s&MQ6s|00DBK8w|I(PC7-q906#Oh9+7a-ClfAr
zdzxky_qFk5${w~w*jLeQwHL*S^Nvv9S}x;ut)A^(1#14_$sXuIcg~%6CpbcfV0Xrr
zB0UmMhkiGx!9IaQSax%~lb*iaj;cKUXuMsdG`+UdI~s2dohX7UzQSI-r|#Ffk=G2D
z;9jqG1V?rE;^_zMX4eUmYbSRdjb~3eZ3hnU@&hP83*$H^jNmjFc-h99fr~8Lr{Q&u
zzjlKryzPkmT6NW~oyM=w+!UM;9<24^iyFQkwf)FZJ|5W|?+Be*)b6&b=inl;Ru58k
z;>Cj<IE%B@f}$Z*InPp@rbAPzc(Y}dvKByw7I}fD9fmYvd*F2Z04~~e&N$89kuC9@
zYd7WVRJ_MI=K-xEJL-la(^NcFcUHTnpuU}F?Vt^`f*deY)Pj`RD6ne|BGr2$-s!bF
z-KgrcYd&6@){AGmQDgDO#n6N2efr0$69j%xbs<RCbON9=f(mC7#=HD(q}MV<Yw5)c
z#uuXs@+`<}ypz?Nz#vNR(?1x6<K2iu2!w(;FgV>EL@3_TwA-h;_9+J_UWfNBPP-Rh
z95@hBtXJz!2jl~qfmkEZL0szw6!GfSPT(}Wa}eN+ciP>^uO><H77v7KN4?wXK%kNf
z9uSr$z^YFtXxmM!a2HJh>b65<f0EP*oo?N)o@=2<?RL&}{LrbYC8?CuqUsqh^q7e5
zs=|@=_9~oK#IJcj8qbIh;U0>&12Q3W0X*)g4VCWT*{Th%3CNx7#e4Ay8i6n><^c|4
zZFOMzw!l6sUqM9oV6OtnX`cc?Y<ev(>fN>JZ~o_0ytCtUsz4Se0Gcsb#FSMVpvUeJ
zTW%C}!j<LavuDpPb=D%+Z!h`5spYzJW*KsZ%f0v#EI~nm5>>bi78n%)W41#2;+5CF
z3MjiXXw-~mFePbbpJ*oXedy?(6E$cvZq#Z*6SI-M3caWvxxFJ>;{}k(R#kRS34S%~
zpoBab?+(}6k$tY}dZ*kb{0I4+Z2Bnr+ryR(9qr*R^y?4^buoQsuhpgxC$KWoF4SBb
zx)3m)^*5k0B_WhP-R(dVJ3%Q$UIg@Kdf-Wr9>3<b8z2KhF<gYIBJ8f}`F1<4RR^YX
zqcv#Db({!lyQBs;8lJ8?E!%5W?Rq_MsAhN~o^aY{dSJ%ltxQEgp9Jyp+I0^EKB}@S
z)~PV;frda_BG8l|3U#Lu_8tQzrlsOG1DXuAHRQ`Qc8fYqpTR`-O#T_#naANLjAt<!
zcjICv`r&Bk9)R6;^gCFb*TQAM)BL{o^F0wi2Dc4E?s8k+YiWE&9Vo<8UfA+MV$rq!
zF0=)~h-bzi7y)<YV9Wt9hb>SryglhQ$mh^P|1tjTo`9cA@aN0;^XK^U?n(H08h<`H
z4L>j758jeaZ&If>pwO#r=<($Qk2t4?vl2YOl^#4t@NhbMfDXY!cIXiS1dkD*TTBUV
zLnXKYhu|h1g6p{nuK6aoK9JxVLW1j12(DEjIHO5$){_R!Xi&5p?@;>_6^0!(4=fH!
z69@=PLA5FJF{x8iSUylp(EnPiuz_34`U)da=APBE&5BlO{TFHVg9QvCG`W|Ub@4Bo
z;yF<2^l%)sUfaOWX+l2%9Kf*89LBR%A^ki^@w<BWf?9(6LP60%rwGBGum+`W*OIr%
eWZDC_dF@)WTL+cupF&MMS4Z>1H8qoorT-6rFA9PH

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.column_profile_compilers.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.column_profile_compilers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..d4ccc1e970b2a9f0d76bcd79a35be6f353d05147
GIT binary patch
literal 177148
zcmdsg3z(!ub?823XLi|TVF5S7Fw4I@q*r!l0RdqJM3$@w0*fmIS=ZU#>3_ESr>A@D
z?pb!D5Fd#O{>B*FNEAYR8xr*z6%~z|*EPl<@sW#O;?)~t)F{{J7jGWMn|scw$6r-{
zRsHq%^blwHK4!bSUZ>8hPMveA>Se3mw0zm}W%yruTz9VCXdRxc)@rSGE$;Ty)wTBY
z{A}Fn_21av^78&2{Ytu~Q@y?0p6^V@{d5`Bn65XPwNBjX@9U@Qv3jr3>`wCbW8HYV
z*J!t7^ZKg#Xnky7zfxb5uIe><%~&Z)pS-i(oS$t)yF2ZfMl+6fwrA(y-%huWZJ^1>
z^W(z^i>KzV^$AWG=)`n%t_qO#`t=RznkhMz`pR^a&*1uWq}gc2{p;rsRMTUsy<Vqr
zV7>=4$C<8d)VesUvFT>D+l3$D^Qu;LmVH`Xo1e?R9H>s;)`@4Z&U`x7s~*Ine*L)m
zczs>{)cVT$M7n?bO<kDE_UnG>*7GlU+V;6lJLzt(ReM$VgtP5z2MD{{8Dv_)q^QxI
zoF)WK@gJt91%f6!U6|&kYgf!4s4q)bHCna!u!32J^!jNqt@>ub<Qee)S@8ea@c$N^
zB4DZ0povw|k-2K4(@&p1+pf(w<7Y%Fi~*qZ(~DTkZDkwQN3ZYotMm19>f02&-Cu~e
znYh}U@5ECFI@Q*6T|*tBnULGv?nK?(ksXM6KtStY)Sf9lUqJhEK>M0>4X|7FV5d4)
zS5Timc~`p=9gJIXr`p32s!=DNYj=8+jHx$zDrCI86A<z&#z@!KHzB(^iHZ1oCh*&m
zz?+~m;BS&C7@;AY^V6Aiv<o-|Es{R_%4#<j3L~nJ%tnn?S!!<Sr<a!G+evlgzLkj?
z%|J3oK&?(I+#$5#GSHn+GSzK>=0Ijv>ZE_E4p6DhOo1K&VcikkFo(*u+T1%=ZPlu%
z9XjzOE1cXzb@oM<Mc21m@z$tKb=5|WX$py%;w>ik^g8p?2vd!X*UdVeYqy&U7_;-u
zUIW@s$6X}LBo<HZhCiak7UKB|AmTWhZnf2F_dqPP6(SvF#1rx%zGl)e3T)F1lZJH7
z;o0Vn?pzhutJQOz7|?Sl?xT<-(8~;0&VTT8u4D`zLk$2(T*r_I%QdbxVu`M=O3!uB
z)~N#puFE&nsq!mss#Maoz}?$`1O#n*ECNrIrth)3Ak}}l{t_h79T|!0FD1PPvtC29
zHmAH!6%sKW{YM?tH~2tZji53(SL1MQ5MOTt@dN@9mxI~37k8QsSe+H}d~zwvuoPjY
zvE(Gx30^qR1ZB^}8mJ4WOe(LD9SagGzv%S+fSbPQ@>aj9@*DEn`+$(YM`CpnQ4fco
zn{R>U%PFYkJH+VlNgwqyzES7$qkf8yx-nfI8D0IJ+ExAiVtGu@2vGYHmFwo>Rt<FV
z)L}4B6%uiaaAUe!^k$6yHFb2iwE_Eqc&65#tu|Wybj92euqEM#-jO*_x2s6H`&6Y@
z?Hr7Ipn~OaU@jfm!7Rmosu^uTM&@d0&HBF{srM-0@ykHHPfIi{-z$l<*O=Q6J#+hf
zjxmr#*!5RM*AjOpJJ(%fz@K>rRPAsDnf32vn5=(K!=Yzb6{+>dVZkdx5^Ml)YX$7L
zPlq`<9(IKuu$_2{b<6Fc96p7h*;t<BZ-bP-_8eNx?T*5@>GI1Y$d?%)Kh+Czy1bo}
zzoddqnBY6$S(A=7TC_`4H24S_RRRw7MbiVxGyR}|hMTE^wKR38+MJJdu+kH|^K-aE
znCi|}JG~drw{b^$7jSuUnS|EBvcg1S?R*bR>m7j4_X@U6_q2y^0}>7@igp^~g9zlv
z?>c^7;Kfhf$~DPN&`6hYry@=c`UkMGuNWZD2~?s=gEHftLZ$6>SX}`YHAiD!#bo+Y
z$KM_P=_&l6YG{vA$p$LaA<2;(9h|y0`3*myb~^9@^60o^U=$mw;&=RDmB-%#AR7eX
zZoU0M|IB;{H<XH32puvqe<0Zc07#wV(bk{y0-9V1#pc?<)pdcK0t}a{Fcd25$NZ37
zV?t7>p*esCJ{6{NE9rB~?x}Mccm#V8>X&`db;mz@r|ZzY{{)Rfb?=H5<xPi#4`AUd
zEOF@G%ocY09!l%hC;P!y$hZi)^&}Wv$Fp0vp5q79F6w-Myly?&i9$nnUg96NJbpYQ
z7wg76!rZ#?xqirf2s32at{eS4TtYY2ynuRjV<8OXbmJjEBm?M12B3jYg=q}kSX}XK
zVCiy49`_O{ZT3|$+5yoV*w6RVW6-bDK9E3Is;_yR($RspqV@09N7L0a^UWrCE9!5=
z{b;Q|fv{Y=9AK-W@&cI_4!h}gtEa})gv+~9ze28?2hp7c-deWD-Ld~p*ixfQ_1PFm
zXiV>aVYGJ#%wxxXhe71@^r>#L=kI5tQi1*77#}c`_3Wqmc=9%b4YJ*E`eYZ3Yz<nI
zjx`(L1gkccU0m`9*dN<@j`2BVBf|!JJo#_Nh`J8~!c^qZU_J-f=Wb)p0F9`)WqLn$
zGoCyE|M;RN=_vUzrU!9FD7*IL6EIG;ahEQTwa|Nfc&^!)ZuI(hQH9&9ofdplydcS2
zuyM9$ufI{-_OI7jfPC1GLZD}<`L0nWh@U_tHl{0=MT&bST?vfc_w(CT!(e>k&Ex}s
za3ONZ*We3h$;%cbRR$wJhW%0u*cQ60Bo86g$#pggYz#uJYbJ$>ABCDhOq_fc`&9Yz
z+xSD~np=s(q)x6(9){|~j>#9`Q~iy}BiMd{XhFRQ44ZrryCl_^v4QG-LSK}H1r()j
z#ILbq2zja<{|=79)NZC!&wkbc2=i8_dl4y%Xr>@C8(d%7*U89A7<W8bf&VyZZn~Z^
zT)QNt*ox)Tp3`dd8r5dwm*YrXZ6dbr%D8u7y$q`-GOTVWi`C?KY_aLul|T{&)`3FJ
z^}Xr!EOKAj5>*zWAR-6~)!Q`)HSb(VH<Jt+J>o2<S)brR=lw##iCA+ien_9Gl81L!
z>BO_`L-ACt(XAe6#<i)LX7%8X=m6{~A(p(W+U&+#qHUK)wFa0_s4gq@+hm7pszSin
z+P^VXev#y)<^6(SS_*p*;<d@SvQ_$_r4+K2w4%uEZ%BlJ)q$Q~fi3Y>N7YU_Y3l+~
zzqfv$X7&h#L1<DzSaK!F0!EJCF2_H;nA!}s%!?e_M0E<EWE)0I+Fq!m;00b3I9wJt
zK_h)D?Qs|T2e9u9`2ZG|1(vA#UvU?YpeV7q=l9^OP@nr9Mqj!itga>MitlmtvO)Zo
zCtIt>lOu#fV@Uhv*N=@7o8Py1C+yw)7Q&!yepit?6MV?O>B#>BKP&@me;J5wV@60X
z#BY)tZP>SLm0<^Lmvph^?8K13)9NZaFi1rb8a&&}$;c)v)KT%U7Zro>Awdwvho1|>
zMDke#(vFM_<;givi}?kTJ{XG0o8XV8LX+QyU&=?N!4>ev<gM8BM9b1jJ2r3(EY+op
zHg4NE7l1t92NM-5i7+lQV|)Gci08~~NAqXNW63`=(*2kZAPg8o_bA-Y&Hg2g&L2v2
zLIUYAGmW@en=;acxKKjEG!-i{ERZf+n&~pf>=r3VJcW8=s{SN#4;_ss$ByW0mKX8K
zTC6>utj2#PxNUJQF1Hex1MS+89I%RuE4CR0Q3aRBxY`0Eb6bSAXVhy)HO!)#g-q?J
z0r|PyG8HL}QMcZnZ`Ps%aTFh(ZqC=@8YX_KS+<yQxSo5VreF)$ZXHx0OYIg2_XXGs
zb<{m27<IJg?#{*2jhV)D|21r*{R3bEzR?DrPR?Ygjo=@0k*tU+hD!m9H1oo=B$lPe
zi|NL*bM<Psq3QlHj%2a)$?y8KE;okpbHt?#>`Mr2cU9F$VQvqL8-fyu^t6}c3g|ew
z0RC99h8aMKMA`B!MHt(du8RKdWp6Z+uBZnMvm4W$!{9=R*x_`?=c+=QEpKLeKhu-r
z$wUEVkoU%+4j1eB1Kuu^QC4+jK(EVLRiW&JYWMelFDx$ridb-@mVq6N-msGFf&RgR
zPuptUdzOy!<TO@i415s8Tgk6s6UyyWzK^xq?C1n$+tjBBz1(vkw$p?94sPICAPaOI
zKrfIJ)jI;tgR2(gJmBCsy$9)sm(>1RPKP$w9-qfanqelJnT`yB=SZl?HQ6sxmTB31
z2l951t4~<==*YNVwp!AN&O8}oDk?FaB);p|`a?PI^1h4=XUPY#8zOb)d{Q<v8`IGp
z%tNJ*{u%G+>K4XMt8Cm%10}x=oi6TX!p^g(qHs5{R0Wl`6Zdk8Sho|3vACJ<CVKTa
z;+%zNweTwobxOB#KuyUM$=~Ae<H`RF<_or#P9$%|7A%JGsGNe^=)t9xuV-S$u%1aS
z&bWyMt0@`;r&XA)*H^UUE*LNQ5&pRw|NI#LyjFfn;ge<c;sB%fZ_pL&xwXd3%<z2Q
z&sxy(g|Il+u42#kuV||PO{@*P)B&xboX8AFMAr`HJl}fE3fwI6{FC81&(tR<FPspI
zh_f$}OKF)|yUMrBRJ=~$G1)f#;F4O^8B$2kXFluN6G15=MMX)TzG@hw@?PIBye8=?
z>Q&I4f71znx+I=$#dNs7H$kIN*Y~;p0qm}CK7hsbjU}o*q`1Bp7(XWIFn78e7aEn;
zvAxTH-mTKreXPgXzQ8$$c}K4#avQMPz4VN5`hsIKe9--T3U#Xp!6wTI0!6*$*jpz5
zbHygV>qu|-k#3(z%z#r4{J5h#xBCaMvp65X!s1xsVDa_YVE{x7$4H)OvvhkM6|Xb8
zHfXANKLhzM8z_vG?#iLnoqzhfeqilr<pbnVVv9Mv-#<cmbg)4NMTI-F^pE|3`cPrW
zqL<qp%vd70_BAh{-r$;FAOHp}xK@~T|9w9s1BBKXfCfGl9ub?mOt%%+#n4)2KP4w4
z&}fh(e*sQgxsEfoax73b#y)0LS0M|Q^D>M*3WNLd$T*%vFwHjo3~|W{K*{3ne>dc;
zbrDMA^q{Te2<Ip3R#MHaedaE3^3m22?Mnzlw5DT-9`tUH<5qM&>?irHGZEaX0AU1*
zoKkf)qyR3C1@|LWe{wFe!+0_o%oThex-{*1BG);5u0XC8uxAyb#A8~?nB}*1%5PdA
zi<=kj*w)T6h!wG|E3naoU@?%G<WvO!2B_kqxSnkJsG>3}MX`jxLNHb|1N;Zc+$Ia&
z-ssigw?;RD!==ohQAy5Hh78#*+!8!fHI}jkTIC~9&xc<f5hyIuOdw-DPcBp8*6(59
z)Y5;HvOv4tS)+TmdPL94r7#vqPeS0jtEv`LsmN0sI(B1=B2N-kxyVxvQ;x`!rQSsY
za*o7hI%p4oO%t9><GbQZHx}R@NyXz!C|YJ1N8N>BRUTiujH(vvgE8hIl!0#fU1Ebc
z>%GvO%D8TJK^S<H`(4;5Toat4tSj6}$tfwJ^Hq@mr@mT1qK}uE3uH)-Cl3-b{d49d
z!Z{C_L~Df;7q5rlT0r|v&YVc~Xqo8=Qhfy*g_EkZ;r4@Ipj35}yaJlp^6f2wZl0M{
zpm4qm9r|oI;9jEmw~Olup+wY`qPSNjBs}OV*7;IFUt!BhN?L-xgi>qJm$}HXoVmzP
z8xt;a`s8qtbFcBB?(v)F=fHOyi@W)T=P18+Auj1j9jXPm%x_Wc8lzkFQZjb&*w%=h
zW5(OR_#I@FHm-IOy_D`I<35ti7rx$vnR&&{pLJz%G0@np*ZuzS3uN2$6HCfJZX(L?
zl%FYYOWF}R$->c}C3tVhwc=GWx3zNV5?ABOFFIXrkhm@3zP=V3g}Sfz`3JCjUibhO
zcM6uMe5AOqM;Q*;%4OKQupJb|`uw{_f9|zcT`xQiWid>c535a>GzPW1m>5pnI$iai
zJe#^zJi{Au;+|ug!g~pR%a1BM)W69f333C!(?5WnRrmlFR>2YntBj!Db1@1l)Y;@A
zqc4MEiW4i4P1qn|O!6S%&=}H-ZU;7CiyV6U$D`f}d;O4piU17d{E*-CLo$FLk^xvo
zl8Wo1A2M5~l3fUN-Vdpzo$KpsUSat*;Hy{bylpT?d4ALf3**ZX0D}Av=G}M+mT01<
z$p1^3+yRTe)JOt7&1hvz$}azYAOO5PVr>_Ko#!7r0HG;6w2P;D#cg_QpfboTWHjOQ
zweeckIN1*Tx42H<an)2b>`m$ZWnw`7#PhfqgZ%psCTzKh40ZCpiEVi_(`nB#e;nk0
zz&E_+Tc#A1Xd$(FatjiCJh?fT?rg_4vD8gaBE}v*YaqtrJ9lp@gJR()sAHoEu1E3U
zg3Y<RCS7{~?)8X!_A?oHi~SlrtuX}`T+Avb3Ua>T-O{FxD$YwI$yr>D4mJ)!9D-%F
zZH?gSdANZ;%G$%x1~|dMtSj9+tk~d1R{7n*C{x`KH$tntm-toitHVo-MVgv6bfxYk
z_S|d9=i{j%1&>@u_ZtHnnqJYi=;h=7<9lf$?y9QgRmy+-Ht5)mNAe#_B<B3bIUG9t
z$Ci3$hcc5yUK-p4RGT?swmi5z#IG#CFcRbCNV@UlPO6%`0{+oMLrTPDCvG~Tig|Ap
z+TJYig2ixr2;ZcD+X!lO;e%1zCP;-lm9HX<K{?-UvWsIrU!jS@{xN^d2aD8UOjAP_
zpOcK4(ar0^7P1#gx|7g6ZVcy^1Vw26k-&FXRfQ(`FjNlof+jzNx^C=|&`8wfgeHeM
zhtOE+ok>hp#5EFgX;^*WXmhM$art5aZgb+|?J{{ObO&%83Fwu_0C15E^a#gPb!cIl
zr>)Uh-_2l%1Rkb27aJ9==~oDKl8)?&n_12+eaXnm3&)eI%0NOc_h&(i0@u87xg*3w
zMz9u8DGst6C^J2Q=qYRzj%a=FM=%+N0H{B`k|YFarrU#o98}#H!xt!?E|Ja4lf(&g
z#q|UyAWBPdf?w8o@I~0+rGhVFCnYIt3BG(7#NB@4js;(^oCRMVfQhm53G``kf-f&@
zwySVe4Q%4z;+pB+f`c#YekgfQ&%#15I&2FF!Ca?piS=&jMxw2-ZD`Fj;JzNj0{8#8
z!Y|D7QEu;9N3&*=mgnB|A9b<(Qy{HspST4=_>S@D+oxr#CAQVo5f0C7;b|HrY-N`7
zu$A$%j>0cVWZ1$Z{;*Ys$mEOIjS>B!qbxp-;0%yOenv3T$SlSz)}#Em5kk{gL!ZKT
zy;E=;Q22Xj<Xa;J!(giBH>s`?Y&gZu<$O*V_@k^Yn-v6U_*Z=j%Z~9fvfUN_9}FzT
z^XN`MU+*8l?s?<`SbXhRq6(f8q*|*;K1W7=t+i#Op6Lfs*)pqZtS3-aCL=Y1!R?-2
zEYYT_;M?u#eTLD>&`frG`+*4d^j_y5I{=Z%6}Y+%>gZ+DFw6rl3p+Rrd}5)|oWwh4
zZ#2ix<p4vuXwFOhkPHybVE`KVRH&F&RmF8NnqyPndRDn^5)WWEztxKjHQ_E$rgezI
z0uOHnAOcjq2t3%(k|8vC2vpw_8F(;OZ`f_pq3flUCt^&3A6)(<UqwL1{1KDwaE(wm
zj^z8OELxIu+wi<1*qQhSVdn_kxdTp<E^Mh~+@y3nxhf}rf}A^^d?uKIkuZ3V>d`=$
zKjO0n!YqFD<ZsHLSU3Q_gpJ_BUF4umj_65p2drYk*}@_s6~90CO0+KFf)wDXy%6Jo
z6#1>uvsy>?kuz7}G)k10+}Nda8uXA757`-6^Mw}dKLw*e^$R=%t@6>3AHc7UXb2W*
zri@{j>F!)5GZpP_z=>gZuUe~jXV^H(3WY8*9^+U6jeN>jT?b0VIL4r3H+INf%TS}w
z()~(XvT2a{arApJJIZ)VZVC8TseH)gw0)4#x0b+eatc%qb%vh@bqB!iimh@Vk013J
zK6{WEhTwN4$gDsveb&dlWsq@if<~cyTMDzc4usj{r+7IP+u*BLmlNyE4KhKFSTM!S
ztIM!NQyY$0hNa$90+psDP#W3-)@F0O%t&*E|Gr1M(XXd?`0pR6s(-n-k?rN9%2k=O
zi<S!hJ6`XOmJc4aV&QagbxbFsXG^=xkjaq5Hq3fdU3d&QwZ&J7G9vkX!6bJ}u?PtM
zHnF-jAc#d8D|q$X2;xNuBKx94{f9<(e#-C_<O2kryQ;c^l#;{`L&t9H&<es(qpu(<
z!ObZqNuTvO{^cNZ<RtK8x9ADT#|9bst3$(X&WVtGJru#fdpRwXV?Bo!vedg|aCwxp
zOc&4z=qeMcVqNuH1%yDGO4C)|E=BD1TLBu7$6nFI4h#rA!jxs<ky&{pj_We{U80$k
z+2(b+mT}8EB7w(VH({fK9f6X%amG%5$~rQQ`MLJod=n1R)Z{iYsIHts8dM#4;`}nx
zq;TGLXyG$L5FMO)h>jssuVi3%cbVx4Dqe?;!l|gcg9dO=#lb)hx~zBtyZQ!>7MLoL
z&CBq_2`?(HCpZC7T8b0=ii8Jtg^Qq6U{^SNB!w-3UD}m+PSs&K3+&zl6Jvp0`s5Al
z`sc)M#;emiY3$v!JYZ}y%AXY1?`o$D@!o~d(1m#KmT=K06R!F?fwO^c!rQmA-JG9o
z?d~*Y;ia2H@$=z4>+Vi_rqPV0TC1=SGGuF(JiZ4vyFRaElgVOu^r$o7K*?UK?>D?O
z_3Vk5Zx(m09{!WJA32j;#Z`FLtMb78!!xow%H4b7rzw8>)a0ICXMP&4<%nx+yl&Ph
zCU5PCBp7B&92QevoM^Fynfyu=e3TJRn3UqHTwiF3{50^GibA)>5YYjQe1Af=O8?~N
z{hVPj-FX1~PQg6sxn<c_;JAE4of=<|c(n)7@2<aA(-?v#cW5+89>#8rp#JG0cwl~j
zkg7V|e_H^z?_r;emlU|OOA<dR6UG&3SSmuvWim@lxNxA^@NTkPfD#GvKlYNwk<{>i
zpb_|fl?b&vBVgIFUJYW8Q1byS@mefV6_Sz>kiC)YrawoOvEhY%V0L|+&bk}@;498&
z)o}A<3uFVSQN{Y>%6pjCgMCd_+6geYj%W8BbzA&^+VRW>$fG0p0K(J#!<NU7XXHT;
z=Dx}98b9Pdgc(+zJ?FsB!zFSK4tN3e<{T8lP%h`7=Z9o~oC5}+flq~L#0rM#QUA!a
zPNpsQa63uS{En45+_K8)QhAl9@Fnm;jUdD8yr^;L(Yv6LF5hlF`d0q{c6Q|hSoA2C
zIP~aFX;lu6&C+`Ig9bcqLvs=I?E7+baO>GW^8;$910Nu-XD=BT#RmU<$q$wyQi1qe
z0A$5_I*)L-p8mFfW<G=)dd04%{W4NQPyfsds8>%H!cb06AGcl?Ze5s?0rWHj(7>m{
zR9-!OZrROhP6-ztRI7Mr>`=dFLZeXidy#(tI~Vc+Eb13a9O^eSW8Itj((3iO#&|kM
z43HpK#*Do>hiA8Xo$>=}$1@)wuU=1fqR>#Ev;JWfP7hR{o{@{yV;*5{_4qPB<UWKM
z;%rxsejYBN9`Er2>Q#@0FqBh|5BMP&Ks_=54SXt0lUI+$buo3;=KRQ7CJ%x|yhu5s
zqx8II^1smLW~rdu{X*9se2nkHf&BiA%9r3tp6-rl2RR#e?01+u)8uCsSISL^3uL?6
zt0Vhg80{7P6nm@oGm)vl-hPY&k;#1a6Cn8!gB`Nd$LTMM@fHL(Y3t+z$}6JD|HLtw
zJMGei^qozK+_iseOhs4omE<9Sfdv>=&mGxDG|?a3!N}hG*?V+fg}!`2z;qNYXsNZQ
z`^jgqSIpuUPtg4XG)>3w{uaCdGv&byTMpRm)lRE_7keG@^U#X&42kQKN3hq0A&2=<
zCXNy(G)W#ZE7&X>)0NAjy&3h>l^`5_KQo^rm^narEG)b1ILWf*J-{olu@Z_|2xI=g
z!5MQMfH54#3_$^BzvN#5V4jLD$)_gMu_U{^BFZ$qJ<)7J?fI{85Wp}nM|Sdiau=kA
z9gJIXr`p5puy&^g*TC0|EHVCsY<3S&*=EvZnmiThJf2j%<W|j1#1W>mA02Tb5>YE9
zPJ2!ZLa0@|o+DCEw?^<#XFT1LIUt4gGF)H6aQ*bMxK1v@7MreJ34~H$ofPpcSV?eY
zI_-{rrM?+HoB{tUwoEz}w;*Rd?)LXVg}rHwy%sRYQRHGp6v?B>FDScA7I!|$AlF02
z5+yQv?ui=T6g)`9_6YQj2;V1$bIZG`&29`SotLx691;H&<-{$lv~%r_OmP%nB`eU{
zf2)@d{3mR0mTl9|E&YJ4q^ogI`1E2L(7LCbzzuCuQQ}bchqSr1XD`$#`C>^8TbS43
z%$S8nq0Wq7@eg3%Gx7l}&I~M37k330Bgo(ksrlVGE7a%yCZjLiP|);{VsU!nZEO&A
z&z+#5sf63)CI?^EegmP=7}dTr_9LXk&iD_#bN23x3t`Z9#;ZurFmgazEBmJ7|Ihre
z46rw5Ai8ZCb#L6TVP9E$L|xn)XF4mXBhV=9`ms{wWRZpWFdIHIph<;(%RBi&n2!bt
zX1;HPO<$ZKwP7H`b8;i}wm9Aawn2L<ZqT*_uYmF{OGYg+mG*Fi7y1#_^A{D2mx;`u
zB`+syjweHO4F7TNJ5-7aL-eRx{|Lz=90!2p{3*-gi>%bghWH|;{v=UO5_D=Ae2Zk<
zld;hRmtw~uOJ!37JDAz_p%^Z}=~fRkW4I2dSv?q4aHWZ>Ejk!OzrZQoTHK2}vyE09
zHD<uHV)Y{)!Hv50_I$GjFJeXU;pygl4K_xQ#;CHGalq2Pc$Zk&&kIJ6dO&0aw8|VK
zz^LK`%{C|?XF&c+JuFfgKXYm^^Ikt&GRBc7mInD<r|vGJQ)8J_6g2|L&(Z88Al+3}
z&rzw9m{&u`UNlh-jl@yzq(=@#j*}jidOL@~U=p|KP`ZO9(S$Tx49ra&({|&@QwxZL
zbmW=-D5Zh<-5UdX<@w!0If>nt7i96YxL7u%(#WS#Cwl<~-^E>6&hn^Vho9(Sar$KD
zQL_!<1T)14PNj}{3JRS1wkQ8iyIkPK3oM@Yn~OWWBal*k>+ri58OqLma{8A?!Jd)R
zhbQ}b_WVyRCP;=c+Q{D~JS$)ba!SdQe9A9UAJ9tr9^gt<fx8u`Fp4qr`W>>>QAm{R
z3bHXtEfzzO-*p^5D6wJNNc&wP877mDU^nDT$SA4oE#R^(b`PDgoA@*D=&J2$r(ia2
zrWBL=pwmS+>dUY=t|T>Z;2vE%fDGr~<pi|uP85T5vv}^U9*cw55q}PkX?5w{4X7zO
zIQb?HKc4)rU^Zfl`b2U+w%9~dcuY>gtv_&$XD5>qF=JR*CDUijhekw2gb%qQ)5C}C
zPRyUcploUVzxaukR{G>vS~<Y5h!4EH&cS^=;6{hd0Iq*i7<XLkl{Q|4l{P;M=c3E)
z5zj((VZcIV8*uP7>$nYrtXXSitMqS<0z<-vQsc1A3AQ?HC9@Stl|Y8UCW)@{i&}>2
zWCFV}7PVvGh8XoR9SAe8+kvkzh#z%Gwt69PEpRp%G98nQLZ^$qzzrxGVy!!B*_76d
z)ts!>Wlw!y`~vyDxZr0x1In~7cv7mc8uF8)5OHRYjmxEQu*Q-BldBQR@nlyp5AxOV
z=+!Yqyqy{G^3J|WvA0iNmB77P^1H-5DWSb(&@TLZw_u|Qu6c_6e4ASEIFT@<G!Bc{
zYqCsZ7FCmgr$se^otkClMJMDN(88A{h1M1Kpy2!iJt#L()nam$yer}EGSd@edo?x+
zC)-L`FI*8nDw6~uPP#uBq(L2pDUGUn3a@}MHHRvB3f~I97EqEXeot{dL2*P~DT-$c
zp~Yh-UK$oMUdm@Cw7R6E#b@?D02czI9@8FcFw_3a_=!w=`s6U}7w9!RfDeo>c4o;h
zErKDBa4*1ge;~kgC)Bii^|%AxhoSovt=ASn#8loV;7nEl&j`+)DQEUYm-rt5=eRvv
zey_}TW!v<#N5Ni!p^B{V>`42O|1zQy)hbH*%L^6_6h2gTW_=Y6CHRJa(-~*w2|mVg
z<i-3aa7<`k%m)7e_PiKAfF&;mOH@Wz@?sX{<`WdTe4@i*45icMY(LtRu%NnxdvbOb
z1LWW&j5A<1IWxeX0mMk}UbBT?7f&z$l<{G9dU=!O^s=I0a{>~05cwKEG3*oBMRN|j
z(BT&U0Cpka16YIvOB_P7K0Anvh~XH?b9i<ZP3Oy&(Y4zJ8pxN~K*8LU<S^?#`}T4_
zymrj;0rFU35egk6ulJ8oUQ*d03%~}WDma?dgm~H*yxkA04;zL=dU@W#lHmLZeG}p#
zFQDG^J-=803|jggdj(loR&*_=PTs%rLoz_}9s|(8r@|(A4Od(jllL+^F8Oy{CD8<0
zVDjGgy^~kHk%7`)lDEGD<LB0mJgP+Uo(%&T?vif-Ru<h2dUoJ8L#FOAT9Kpa+uXP*
z^b$T(dI{0mh2*W)bPPFHz1w4W{r7z77-YBGcVf8itktC#s?|g+P!J35N6JdF;Y47$
z@#HxCr&My_QMBhEBCg{Y03r_LEmRW$xn5F#k{Bn2er6eT3+K~jY&5}@M6u7XM!Sfp
zQq0(tC&<$XBojt6jTT*_4cltS7nJNucenQHjc(L##mt3mqy`3TUoHurzv`<x23l#p
zDv|tmArv^0|FB49Y;#wjC;x>UW#hyRsj3tGdIJ=<4Tg?Vo-%kXP0d|ZRp6yk26scp
zUgVM^P+~ThGMGcGBW2K1@1g;DO`<a$v<J|1COp|fV{tQ*lk@xn5-4tM6wyE@=O(IJ
z?ADf12hMl$yTk@*l)IoimCxNAgW#?mf!gqzH#Q2_D5ofDfG2fuN_K^_!dFECocd}3
zSZ^sa7b4M{37P&m^T-3vdB`Lx8F~0vndu2qeFPhYlZqK^#4=&qp@)NkQZ-I84b5za
z*;!QTdsMeq?Hr7Ieg2?LvCjD%^y#x6fq{wW|Gl`L2tFY8N)g?w6-4ksm<*+Y55icK
z#Iyt-2&<k8nX#OO9+sUXLJ#z5aY7Fr{VlOY3PP|uc;zA2>hK-;llnXs5R{lMHmZ!l
z{wv<<JsFrIY)ue*SInDzl5DlqA6COGx-3z4y-9r*mN9>ps}wD(6^V@U8Acf*le4iK
zBep@2swd#B-pjpHaD)nWKqH?H77T;#+>5BL5-J(`TfH|AGKJ?cu!3&pt@#JAJJ|RD
z7OxqWsDh_NI|hEM_m_=6-Nuf(Kzkw!C4D-F7&<Mp#S(3{3d-Hj^}fMqWz5Hpaz79t
z?iORm;v9U3e{985<-%p|rJa;{B!k_*Y$k@8VfW7Z`3(FOq2Afgc&F|4&KAN@&O7@h
zKO_TqXBmJ7J{3ad6;^Rw^v>FpxbB@@@PjBn@*-mZZ><hdFiSoTa0KXl;kC74Cc|lR
zJoL8cUfc6Z+hM|gyVPwP@>!n1Ij7L^T>4dB?rbRCPFhdNlb-~u!g#U~|0(5IJ{n&0
zJ(17)32`Q$QwGJtpHRU@6WlO$IFpyoYreaJQJ}gXj)zuOfAW=3;P5A7k;>1e#i9F?
z6*r9iLEpVbcZL<DEMSUH_!a`sT~#$&O8JEMLC0PMkx!UmN1JF8!4pwjXTbBmQVY-?
zsyE0SISCAVP8&20derw<2O0h4B`}=KLFGUnSn?{UI}nCb@4LSD4l>CQ6c@bf`@TWO
zeE=Hy><pECOCk3IgCf`awC|q}GDnVE*e#h)`(lZvKpb%sOTEyCdZqZ4dD_<;FEiy_
zagk>h&=EBje=hS<s=8#J_WiLzBe$yc%CZPg{vVn>#O?EUlVFj?4PJ#;_`2`dM!h>X
z;L36`0*w|$9@jv}UIfu{!my)j_JRj~Pa9;KoC<yf7d`NM?jR#?8ybRhZinRj5;(@x
zGE*Jp7|@}PEcF)fJa49<7SIXoE=;J3mDcx37X5OeDJ^f8$xBy*z>O!D1oX<|k7#%Y
zhN8}*szVDAA1cMWJVe~ZMg{u><@|rxL%huM9#l8ul%VQBi&vMKCIu3I6<YWdAnHm^
zJw(TlsaG<3{H`+76T7{)W20~?>JB7F6j`q%=|m>~L%~1}YV4)@@Wso_gG4#6;1e@^
zsJNbB2E=M9X7KA0ehrlH9h8bH3r~<FvL&ia`xGOp{H7-_TfPkcgXH5a`}*wC3arS&
z%a6kh*~vEgv^e4A=KLJQdSmhA!6Jp17d5b~&tL(8<yL@0Qy)xyig!<pmr-wx*ds%`
z*@enz($Ia%+Fjc(jijlgUa!1f?_8wym_O^%KKctjtJ8mqZG~*R#5}SlqKxS7nacB}
zPO|W09N9sb4Y^jlN_IG`#Dk_261TSCwIlL-GBg6;mlDHsKg4&Ae*k+7j}Kr8Bw~rS
z8Omlo%5cc|(J<k`tQEyNUp~v|&#nB`Rmc-E6~hFFR4yZA8spldd<-q_6+#VQJ&C$i
zBJLY<5})In!gs@Jer(yH-p?Qj;+Bqo06Vwv0W92tB@S*GLDlEt6;`No%4>|i42mgk
z*g#HUg9P)*uM!%KQN0*<Af!Yz_+8#Pd!xaAq5ur#qQM{aLoz@#m;qQun2PISG&ozW
zl9LeV{8^n7-K%U~ZRs|w&XWJbi<BoWD*PpYgJL1eBg3zcC7J*#TELz6@wm~-V0yb2
z@B<N?_wk?pu>-_B=YT1j_rYdT$ZaCXZezHtaq=^;&wnn0?1nW2J7&BIkqZgMs{a!}
zMQ$mKRd2b8wgYtTNu-xYGoAJ<{eoGc@C~lR$=>KG(L%~ta@Lapp7G=i{O2f+PaA~c
zcOgc6)=x-$`r<Mu79NWWv5{mT&_KzlaArZ=9t%ze@FA6tPw$rYbyS(FwrbVx<aE0e
zPj+eJG|7xiIu2Eh4mJ+Ksk~{ri+F2P?RMwk3Z|?*T<Rrm_c6{tm9WtF1fxcEaBPBB
z*0}WzP~eDLW0A_|{<yX0<#`_E_0*6uMy{Z`F|eWU6`iYuBx0I~yQ*r1m5OjD(6JYl
z6q1m5%(=^RXmq&CE%nY0WhsfjG`I;UGIPXim2k!Ho?C!qqz89}KZmON<99o84-!?(
zXJ*k9X9o<i7#<>+?=|r0uUa$%53(7x*{&ryOA+<7aO3he08V9XH`{nAFQRq#(Oj+3
zIxJF0@(a;P#^ffmUCGAOUMNXVqVu3JoO@!5=zNI4cUM(KC%FSEho&xk4C;CjNTMUL
zmlK^F@*JXLsdpx^RuS(=<fUQtL1@geiiPGa1?bHQjkik?KiU=0D~~|n!WiguKA)-%
zEq?SL(4ETtZXQD<@c7ZcVWWa|T!|lz?1`J%jal?1BP%Z)PmVpg1SI6uKL%O^hIkO-
zAtShCi07O#(-VlUV54wE>s!wOLOfRl139S1@q~DC77*#4ON)t2%y3C@JrUwTtd?R1
zzqs=dk1)SWg?PjUN)p);;<*EO*Z0x~mb1uC7beCcJM_sL+40Yb-<K}l!3OXi#wW4S
zHKI4<_oeeEkYm+_!QxIYLzwP{wLf{egpNL$(AC!o%nf`?I)AQmPp{hR?(Vc_8qIho
zzn3?vu%n1z;g>vv2#=0jQ?kh<3;5XJ(8EYDXJwmO_gr@VRd<(aut?r0<=hB~3l6Op
zAlk24<Qw+R6u;4Ha!;=_KMfa|#5FcvH|rD^^&OD}!?c#Lm`o<oVhi_aXD?5TGD0y=
zFGK<OSGi)474;V2B^7n<WlOl&@f755$yVt@OXGG$I}1@*>Q1q5PR}jNo&vY!8|qZ}
zJ&8|SEUHq!yZ%~DBM4gDq0u6FFLpz7$_{p(;^ub&y|0Q6=SK_RytjUz70%bY;LI+w
z{G@aqC|ti(gpbQ!7OK2(pxN+lvcO&mXUW4}(m2AIpMyrB;mpVU1K3^Dd;m*421``M
zqnrXgLux%Y{W+@gQG@L2J)L!bWQ^xlbgD(>33p}#se!Ee<I01v*Mq4~w%6l1Ji9OV
z8#zTsi~*<}&wPM9I)Xh>C-{d|JW+x8@r*nO!rb@&o#ltzhcMj)^9zZChr#z6dcyQF
zFQDF-qF;^xhH^2*8~l(A5L09T8u(P0MyyzPB>vBtG-TRx54VRD&F@%=!!4+sE)BdE
zweCfYgGFl4C{&Lg@(*BVS3ZD+2eHJVM|Vm+Iyg2<>)F(R$53AiO9bkXGJ5tkIXbxY
z?EQW~?R4M+<n`<&1Ebi88^6yFR(bp_0J35|okzG^Pk+WgGateYy<*S(@XJUEJ^fWL
zpk6&)2tzqN{f~Y~2GG+CKm(r&Q+f6Dxn(z{IVD^eu2?y)t20A=*eU;?fTmFOyTLzz
zoeTK@7WIoI4)vRvvF^=#Y4v)xAAE(9i=bZ5fWdV<yVdIsKcIFz^8xbe^<*as4fT1o
zf7tT)@r+!o9`guutH-^5$bASi#Mvt(4jwL{9=l#Zz3R~~N2Sf!U-LsUfO=#A8u(P0
zCa)fg>tbqL<}k~gG+E2!4PX&3PNq_QG<oX^@ELy`ZEl`-#N0%bcl1X18Pyk{{ywNC
zJYg(@M18`oi<x`f9nlW*BJSAlFn3r&h&Ze;B_4C@PO6E2`(GIC75%uqQ~Q~yR3O$o
z#s|-2J^Kle`+&g)S>QSSMKR8T;3X}cd_X}^@(~=9oz%K?A$@04B6sXZjj8C%UnO}6
zU=R<h9@$2;&>vRC;NttC5}@Tn(3dZ&myUMgnOb|gpL`a3T|?hytBqDa`D19Bj=>Lf
zQ)SA761G_Q?bS}Je^>G_^pLz8TCvO<<hJAy>~&$tVg8eeCGKP<Nkb-uwR2;-a#^I@
z0g<i*Vd(pr_zc0s9$~St=wmP<XVGvE@7J-B5=vPJ1AdLBtoNYCwLA>?9cVfn2J}sx
zvsdzEoHTm}S&~V8W`f;-kXJOB2DfJsO{hJ;hhr9);0mE<(@S<in$N+w6?dw=M(bd7
zL#GyZ7?~r;z>9Xm(XWH;PGh>-<iE1Z?z8mH1@s^tq{*sNNn@<Uf1JcuNr#wwCOqc7
zw4*;Hm{z)+_MBFu*QjDDR-`UnQTspw&qvG0Nek;`I6jHt_=K`JPBvhRP1mjjC85AN
zDR_vj)%DZv=vV5SVa<fMw^d4|V{xm82jBYeCU<>r`a;G)gP$X`MbaX9e(=V!i=kVm
zO)^OJK(9oBjB$Hnz1J0XUg^ZM?L+ZYt<kL>Xu_-DGtKJ39nk^I#=9)qRc&_J>A)Ji
zE5!F|S!fN`&$)Jo{f@`1_*Y4CTG21`(%XOh?>yNy{o|z@W|efL$Yd7rJG~h9gmUF1
zS7?)p5=}bEHVo?+5)G||It8CAsbCAvIy}NxLnD2w>^>-XtA7Cd&W{gZ+0J2!s>Kyt
zj38sPx##!TtWcl(oY9wOF<0zIPt=SJqVAl@Y*d0~a;x$vD7+@2(HPafzx5-e#Qyem
z-Z^{sw}mih?!Q%}Uj!@iZ#w?(_ro&44wr%Gwp`R5?o~GITXw^^!_9P6vJ-(uVb`w$
zRjzxpFdu1Hee$33PF`E&0-28n31+^B!lo}yBiS&J;W^m~y)DijpCpF1`RV4u6;E98
z$*Dvp&?HB6p%-BN^XS>7h^=(e3Nn9|WK8}Zdmc~zjt?LfZ9||HmJ){LQL)|;a=(!w
zH~(}}ar&|POcLMCsXs|nld<tHW$-L=WB(Z&O$dH~Rm*aiNZGQ$!(4fjDXQSg5?5Pv
zm;sF_Jj_swdvRyB(TbzS47`%WOst3pd!uf>J>RUs3tv%uc)B@XgF_FHRH(9+adgPO
zSaYP<3w89Yo6uKAHyf&{{9gzBWNr;$P;nMwHFQT?`uxphSfs7NhQ`w`^cv&H6H9^o
zu7khX=+q590?D69+C)IQtEzsVQip}kfR4RrqRbbGquhyy9Euz#9xU~C4uioYZquQ3
z2U^aAG*kZOri^L1@nls2agdJuWCKd6nKP^|fmn4EvV#GRA5m2|$+0TWwHC@rC}uCn
z2~TDg%Y{@L`DEtgBAA&k*BZ-NHgg?6y%zJD>64kw%r<-z%=8{Oq4`#PoN2N4yf+MS
z&x>#_V8{Cw&-za&SkOD&wynQ4{aJaQm@e0`ZlA#(^uPc9a^MVAiRv8f-#XtR+oqph
z!dqvCB4gwH;wPMlv@ogfz27)=5cm*T?rXq9iT6k%m)M#2p;740{N4Tm>^pNlfMsWn
zB`QNJJM*EQjKH{*VQ_$dYM4XF#goj=Pa5;m1yx<8RBOZIB^V~C!P~u$5n~vz+kFj;
z#O}pX-9-Neb*nhB7U@0rZ}^E|pU7hjIOT2<x0~v5{{VJj-~(8M0ZSahu+aD1S8md~
zHfXABHv{?6o`dN1T>WPbv+i7(jedCTnB@cH<(&ChbO}AvKSFtout9=lD~}Bp-3PU#
z2HHrQJlzkg4;zL=dU@W#k|i94H+TW{Itu+_0WfHe!ov65tA0oZa1$~B4SXtWlGkv>
zb<s_j*=5P=Q2`9WP53hJ<Of)NO7iwgVSHbn1xJ-|6WTD4;VwB0SXp#8;b{fi1nDGX
zG$KFNFLQle=p<b5`|I4Jv*3QD3QXROEHa+FGniA@27Tga*gFvM-o|GR#LGJ&D?|1|
ze!L8tg%|QcY&5}@g5${@#S8gD?frJ!#*|&F!VWJ#G4Hm2A$Z=Z-|T*9Wpyw9B@{T^
zi&&)DPKFhryBB>aFr^cOzGV#Uwyn_3#GR1eq^Y>8s%BUzC*-%GV=pqv2`Mp|b3*12
z>2N|?>J9qJy3|Swd8gfkCtE;VuEx(6kN~O0U5zM;fv(06QPpDoA>U=^{3gFkY>?@<
z=`@|M-5i79@=H|4u~E3@@IJ53GCF-#B)~=Qv~Mpn7rJ?4E41(#5(<fM&O;_q$!l1y
zD>FSos%x-OIH{N+Ml53}IM_GXwmAoafl@V2@~^<fw&d2ZciM9boOI5Mh(cZlCZg{x
zt|#OYu~&-dUacTP0KzmV6#@{(pd_Xx1VC6dZq$cepS(yP%UKBEO)xPQ0-#Te69P!|
z7p{jK3}BaQ$TYYY3^632!@Ypuz+R8luMhHH@gDp8feBQb#w|Kx?};~&JRn;wu^aMr
zg!j#BJIsgI`MPQTELS61KL1D}!{!h72TU?VCZEJ^jF`g{^&b0|y;E=`+dTq}d<&;w
z7(9Ibd8(_pV~748`}YT#!gm;0L5|pe^ABKmknsU5UN0<B1y6}e4E!GZagpAqTbR{_
z*b@;b>62Lt<I~<LcP}@VXtPyN?!K4%DMl+}K6aG*fdKF<Mvdh?_KW>vD^58VE`#pn
z#?w2lG)y)V!<?{tSN(ie!n=BtciLX>Y9S2eysHQOkPP5mWdIuZR0x?@SjBbGyJ}P7
zdJ^V>Z#I0D7a0S1TXl$nBMPqoI0AIO@VeSCli@UZ7wEu6_quKgw!eh`b*bAl<a>M%
zUtbCx$EDv>=SETKcG7A}-iO>gp8S3=Q^Ovd4n7?X@36m@&-w{*3V)^yiiN-6kFe1M
zH%J{$;qv#~Ux}NusDepJd*POPICr--dRFVmKJpmjuZ?!A+Bp*4-ssh%Y7c50nD511
zI*@m$+ME}UD;VjiBiOA-;bdPVqmg<3STG7ym*%^mmDNA|C=@vS!&sylIfkX7`-c@b
zi`}jAPeyl!^`k6Y=%V62-^U3&cU9F`DdqG1F?8%j5cyvicC?9l-(g>~Sx1>0aAl61
z1YYb0y~BR;Afs=DM!qFb#c;9;DhK+wl5waz5QhElu%9=`BtuYK@DBTxgN*x3XtXHE
zy=qY8df#Ecb&xr7+`^vFeE1kkGzH>_i&*L{>O1V_c$o?3ihF#eKn<ZZ^LHG+NLBss
zINUhhZp}0fMwP2zoru^wk+g2`-|^W7bnW0_?rC}*B@%bmMRQennWxKM>&ccGmiVZ@
z>M+WB6N`!XsxK$64ko!*mc?m?R}#a6V?BSG0gE(l@G88*ci8VWx(iaZzfIt|s}8K}
zeg``CB8Zj~h8=A=NekX#|L`Ew<W%q@SUygQVGxVQ;Lisc`A>$1;GDZ5`D_UsV@jB*
zj&cm>P)C+}3wT0Zid(vXPGEOoLRGA^URFShoYL}knecbmzYw4bc?cK{@4!&gLriOq
z!3hriN`gwVPWdgBAzyz8c<t%Bu5n8|B7uj1S7W1seS(ra682a+iv<VO%{V2fI`G7)
zWu{4i!jqwe&mci`aOxpChD^PZ(cv9srYETQbZit(Mcr}ah!X3SB%NqKc0(|bgDx(q
zK78>qb1hNM%k#txR~Oe4%z#)e#SDI3!ViuK-$ALUvG4>*B3q)yv`_Iwjj^0Xjb8y1
zV^L%Jv^Y`YecXBjcY*y)2WI41Zai~4`_Lksi#xp|@FK?ZhS%*R2h|xNPXA;HpM;W=
zqrjx+(wEcSh|e$ty1i1*p2}DwC=v;iTlqy-8utR%skX3NR)rHE!_@c4R!0#LvYT+m
zBz4%LDZlHu`+bRp^6}{mgUJKf4Y5H+LCuFXx&uy|!-YNi=pXlvu0}5Gl*`7=G-UFd
z(CMNF4nkNOmVbOy_9$U53LLzN6U-VoP|Uf_{8oxyJr<kos69gu;xg?lFRBQrDS0OO
z8ytQ-`EoGZAPL}7w4{$M*mZJ$EvMkt6KJ^clhtCz(1~R7jM>n|!Jmm*Efki1`y+cP
z>K|cHwnTm(KhfE0`s7$5Il!<O4}8A5roW^+<m9SFNvqN!b}pLy;JIhPnei+*`XK59
zQ|vX}tr5FYdpEmq4EOSMU|PF#j(M4wpQxTG-Sv9sV&yV_mJCfc@5mXx<;$NUv`n^L
zVsS|mQATdlnaX25PO@<HXOC8F$hG2CvLnnTp6?l#xV0^fj=ZN|fJPv+N(PJj^yU`-
z0QL+PK7b`@2uoBmNJ$zRWjJK~XgIRKxg&~ozI>+9pIcq3dofSKkQgR7q2L*WOk-So
zjtfJJu9$811Lm8ZNZl&=W*c%6pW~atTk;S1v1Nz)MGTT4Zkh8BVCNP-fQ4JI#KA2i
zsQO&I!U}axd6m(ZK`|v58OSMYkYGM}1)<Rx)r)ZlLQ3R9y~8_aZ!VOdC;&sbT&R!u
zAsHYSiUC+gn2PISE>yN!B_|-zsPy$*s1x0*Y+h~Yo*bPezv4xTsu==VQXedsHUApm
zpp1ZA)+3f^0;p&Kch=+gjaCNJ+qHln2mmjSTU!j{Xa2DR#5@;<;IWdD=q%(mkz!_J
zxU6yVQ?SJseW&P4F*B?nzG39TK^v~0$=yo9YXDnrnghR8Oj|6z_2+R-+=HP@3!<FW
zS&=9MtA2?VQnr#a&IGO<Pd4K}rLLu3TG?3!VffZ@6Q4C`t;IjGdr=t_3xEC7u+fBI
zAkaLPiv!DNXYH1DbyRV_|41SCYILx1C~omM`_`!1?at2v`^`*sW4!SiuM>p)E@oco
z0rnD>`HjJ-QQiBeLMv<5)^$)oIyxU_$0C)_O--pspFQs@@(7!!hLkbd6wVj}8+u;R
zwdkwh`CZdA5qDK}sVkM=RfmqfsHA|r#A7a4oI|4{SZt|xb|_0p{H4K7K#`dvW~+lM
zd*zw}BqKd|_R6!Vsy};WC+<C>iusrln&2c+R16n)&i5L4^?fbEbQYtwO`HlhEcXL&
zDr>vh#!GpTtMXQwD=aH{A;KbcB)<@yWK52p)MmR8xE$PCC`nJE^I>B+_rw&@`5=Ms
zuBwVo@)D>Vnz;8M)b%2eL`PyTCptOgIYh@&@5~_Hk;qHK>VwdjV-*X{Jq75^35~Z)
zkv(x$K(9RhjtgU8$n{*RI<y1y{|?=$-0$WwM8et;s6C$i3pOfP#}#+`$ey?fcT}=S
z5Brjll^2dDYtJeH3B|NmLyN!!2ZVUY2ril6u%*oO1frjUjlvPF?*a!%aJW1e$U!xZ
zC&3|S0g>+6QA}iFhNl<T6A2E8)l$sh7k8fEAk6Pl2@YZdC5dcFaCiyuuJ2}CEN9W1
z7sJF@^oBmABg>ZE1!7yDA_?cO!SI`L{d3~sCGpxDfXCi|%Y(-(HU8jNthz2(Z0Syf
z>281|`4tHreKMh|uM?OXIH>e|7Ff9owv*4T9*CRxGSci^1OAOF?7Te~_$BivAm!pY
zC7Vn-!O(+7Fk@wtTK7bZ9(DGpMu_C=&CXrWK6s-BLq^s+c<t#be7D}2;<vC*?&)>r
zr+f3AxW>loW}V`St~|+YT0>Y&_L69^g_(v*Ud1RQlUOXoSGin}33U%Jl8QO^nx)3&
z`?6K~@uiX0V&P+c?Eg-YIGLVXmNx}z%Qw`C@E(ayTl}d~zq|fgO&bVO+yVAOMvCO!
z*bRl(vN+|*PHq>#dur%Vexv}(d+YaEp?tjy%Ir0wPfE9e!tzT+^0?q-!O05;nhoz}
zpaACQy`*sjFh2{8LIapz^ABKmM)LtI5g05{wT=?N%pPub)1RX%@5|1viq%>7hsJnr
zEvMRIo&aYykm}H`KdzkNzaFgxd`9W}IXt^Bqh0Y79We%=c0BU|^5_WmK^^ZOR`Edv
z;>R=cAP95cS9^vZav#DBtIZxo^z$%yUAHXHQt#8{mkF&3pL7;{h8Iw86tNJ7a#6(V
z{E!R~MPvXP_*9ritXCM4|5GLnnYP@+jUh$zJJ#WF^C_oG$M_(EJo39vq!}-29D4Ks
zGz!(DJ^ui9cI5+D^eC1%^yp4zQC6FK2ghb<J$ttSkD<O4mI%}%W%TT;a&&O(+57x}
z+UdXt$m`il21c==B!1ryR(bp_0J35|okzG^Pk+ikGateYy<*qXei<pDr~ii+P_LdY
zgrS_C{;nUA0rWHj(7>m{R9-!OZrL4aP6-zVDwdzEt20A=*eU-rKvSstJ<dOXoeTK@
z7WIoI4)vRvvF@FFY4v)RAAE(9i=bXN!{9oe-RkvXKcIFz^8xbe^<*as4fVOpKWusY
zct$Q(k9mZ-)#D5Nkoyp3h_hEn96Ve?J-*lrs8>Du<p^LXrygJFhhzZt$N)6(sW44m
zJr>u+WH_6PCTp3z9xUR;$xW({(!-?5N73eHM^w0zh%%1e06(Mp0@UBPBHP7)Uyx2{
zT_GJ~9n971?ud4fM{&n~hq*INS1wpi<Eg2B`(GIC75zAUQ~Q~uR3OMa#>dV?J^Kl8
z`(A?!vWRo~i(;4sflEp{`GA6-<U=?ni@;sFkiN4ikt_Bi##HpxuaZ0jFt7;0>bWD^
zh!pw(6pSjqA1VP_J_vpJ!g=^!`b@1o-A_J?y(%yGCZC3;=@=B#1<WarM%aSjw^uu@
z{$0t#&_nW0XvI=)klB()u-Anlhq+HCmbQbL<P3QfR?dy-%4N~sjOgh~5QV;<hffzg
z>=qRZgMJML<O~|@-F*z(C?S-EaNnaeVZ8@6n&siXZ$s1JaGz)9oVAiK;+)x8F-ar!
zMI?6VPhQDn%G;hgG@<tVE{<5>fJ~!Sc0q2>!MGK7sy)1|<|;MJ)|{W!pW+4932z`h
z8p+BE>4N3>kCU=0T@WvDhVCd3IV;jndrqs-Yg940DpHrEsC^)br+f0CVqv`u#V0Tn
zA72*5$#K|X)3qx>{1sRy#gfa`;QDEIz)9)Nuo%MOLzPhJSloh}@#1bDk5cbV_p*nZ
z2S53z@gEQK%7cHq%Pw+GWi`p*)I+xt0WxOoiQYc9sPBsHh3p*>KJp9!+g;UWmmTt>
zGs?`+$)aVjD$cb#JyNM4bmFU|H?7l8^Ag*Cif_AYn|@}=22LdvjiY?07o(nGHgo=l
zHmN8PBKu?Ge7&<5>IA$-62TU3b$EGqK_h+p>pt#xi+=$7ZjKLN*`i^Is=yUoj38e#
zq~`a{tWckO%jnCqNGnF6Clba6QFp^+3o3yyx&6RkSVCwtMz!x*{Rk<sXML@A&fYz1
zAq?7{brq=>p*{FF9sl?FVHsf8%0P6RB<im9N*neqJ6zngW~wTA76P3=!lhjMU|~MX
zB@mzVPF`E!0-28n31+^Jg-u_aDY9W8!*lXf=xuTK?Iba@bx)(B^-kPY&51-Cj;$Qe
zg&X_z{PG62>`4R2{8_Sa@^{$tc=Am?fLO5&c~&?|n3PAuYDc*JdWPHl$)Ms?;$wE>
zJ(O`T?sSEoP=At`CQIWdWza10Tz`y>CImacnq@f{r0hgu+oBy+a9xS3EjpMm)2tqh
z;9x=x!Jcij;;1nLcf53~2bys$;*r&;TW`-dYtex?iVsgW=W9>|8G<Tj8CN#jm+BJh
z_%U1bb<xd*YFhqdfS=4$0sJY>HH<=cv`x>SYrrCH1vd1ZemH21BTo=me%Gmcn$f8n
zd<2po{5h3?bXQefIi(K%Y=(}#Xrf#eiKE=<g&c|;rxz^sb`FEVByQ88bO%b#gfvtA
z=5~xJx$$IW0dbIy{FDMpX<**;52>n~<k&0En-<DR=w&a+;@%svT1cglPfSiOfSLL7
zrm>u5CePp}y7h)WnVHFKv&ZwM2To3YL9H<}vq-z$>xZ}7MJN}r*S*KR_S5|76;`-y
z%bsjJ?efMud$ndV!&P1~#W>n_IlJ4-+&6<Ih%@D<Qs|46M_S2#1-L?0pgK4E_slPm
zZPQOJ-90nIkg;Q)d!k85G^!{UqU;_v1bl=njdc}`Aee)H)4AifB!x?C$bS<Wg>J~-
z=^wzpA?E{FHsn~Ma<j4_ALjW66eq*b0H@RtN6@M8kTEM=MhDoP4H44dE#8B~6$a>b
z{{o}0dx=yx&c9CGDsr>QlC`L)%A6F)ghQ?*<#(M1U-#3%K9R36;FMcM+^(tb`v<T~
z0w2I430UHgg!NehA|i%kB+t)Til2^(<xkbSHfXBsF;$z_<EhF93g)Jt<uL2cc{#}s
zuN|{|fIL>1Z$-z*>HZPQV}uQ|0BkU-f>KhWX0+g6=!eyZ4MQTmJnvx163)TvynuS0
zgMP697&PY~yJtt(NS22Kru>i$;2LBA8u(P$B(LF$>!NEgv&fRyp#m6!Yw%9*<Of)M
zO7iwE!}z|0363h^8nj^`!(DO+u(If`!A(v>ev*t$+?B$mw46lbygJO)b)jSM@?DKq
zjcypiuE0msnvTJ>)4M%}D__osOJ7)wkUh)QiQx!ii)yRx9#9Jl?MCXq<ekVL<H_5D
z*@W%MCys(G15xgNK5?L2-tAZ!vfuHeWw0##jvvNGlG{L-EPluG7ZUBI-9uDy@;bXZ
zrPH2)qsfvlqZwdd%&VXqu`&*(N9B6;MmK_kyUg8fI3)viD_;u6j_Oal4_aB>j$eQR
zhuaa0H0#Q+6LhzuC*g&!I-VL*(rESmjxn&?_Cn_qcTN61O~hSQHPcGDCcg(Adr?WQ
zNr}gtYchvMhilSO?;?KYs4Qnmbf$y$0LspUCtF}#4#>|JkN~O0Z!G!?s_MV7=rZBk
zr{@|;(!?(i4w$Z2TL)wC@OS5%J&-7N>36nXFpFQm`b%zm{M(@D9G&sqOy%VZ;n_bG
zx^sva7KMu#Gb)4)XNhoLXmsZWToIh}2|RaIRdAC30J_<dF)3TK{ynPOt9A~?y?*j^
z=-7)O5*&%0oZ#e;;}9H6y>rSiN+vC(nt_OzBNvOv$py&HiHNsLaX-<Y2M8Yb{Np+q
z==uL3lhI+l?(~vU%*pR3I*g49mUShZcuFS!LL-PfDuoNsS0&>FUo9YfT4pYEsm)yh
zgy$r}IS-jcC2u%-pv?4y1@<0n6izBdnHhEkSnjM)l7p;*PX_}vsK(;M7VE4}5QW?-
z6Qr1k{;}eEA|i*_D@Am_V&D-uVYiox$cb&5B&H=IN9%y+sU|FE5xF13#8^a*J}pi}
zu7U4vPR(@Mvs1V%4mUQ(F0zsNsJ9F);x(y5y?|KVt<DXKF$O(lwH541e94qOmBU{$
z<@X7JnRU6Ap3FU`*>gMV2p<d`^35duM_q8&Zq<z(x7-Mi5I&nUCR;7B7bi@jQqV0+
z@?CG1v#_Q4vyQ@3Br<FvDt`boLu7I?c4GtqDS+$a2+jam)~xc_c@}3=enj;RLE-GE
z390XMy;E?cy>5j@0e-PMUhPn!x=N7b6gQXiIc4CBXLh-9ExzhhxO$K&T*bf&3Xk0E
zAHeRm<^x!K(O9DGF0%QqMK#GKpCcn|6>b`Rx`kO?g*|bRlAh8!L#Ji7Sfb5VLAm>$
z`&SyRjQQA6?gs+)dKO$-T<&l3kFB`MUAPRo=N=Eoxe}t;OblDX9`o??893ZR@1prb
z@3g%!k3tyA#XSDZ56J*A4+fxtPlb?Th07FHab1jg*p#^bqQ!!54E>fD83V*XbcllE
zeBS^#0(8EJh1f8Y;WSwRy)Aky#O)t8%rB8Hz0^$_3JQ#HhA9l^Y=^AlZX8v6aA@qn
zJiHx&hI*8A+i-;^EJKZUtJ*mN>AK+6>%#rQG7-FVJGopZ$83YeU_4ok|CBm>xU`;+
zFl|Y8nsgPP^%D}UnJ9x|;VU==8%=O~^jZ-2p+sx0M6(lK>jj?L3y(iQ1ZHdWtk#iz
z<T_S3jp8tp8(9?bP_;QP-YhYKGKHq?#la|0T?;Fql{F-D0Tej=#aN{BvuSAPAsNNR
zVt1)rXLM&6KgznL_=~S0@Z42ZTcuQ><p${3iy-nBGwf&+O`^4c7PgOCt{icveaFlo
zbL1p2%s6e(bd<3eS<m3I5?`ebqR|fxGJ3ZJhLZzOIn*P680rp$;dI4Txz)#y`XqmS
zkV%H1cqK@$z%PB)$Gv}$aqopjKJ!9l-%`kZ+n~s0=lnVQ?lW-v(Lv_OaSNNIEk<`(
zqA3tZOvO^~DS;YP(kKmW0SmP`US`3$f{o`D&{2t`Oj1>Uu<=IbEQl&sWgBB!H~8=P
z8Vatq7}lSr+;;Kaa3`9>Lsk3{tPDwPTdfBmg<rwzX83!9Ms8K>m1Plr{3gvFG*tdz
z5f*9O;8l1dh#Db|?2Du|DZ76&x^n}rEGPe$z;jm}SRQ{09eWW(%L&7duGv?DV?@l8
zKI_xmFsWnB4ZAW;P6a=L$wwgKyB3GR>4S`X8Z;V?!pnIZk~5+2P#gmX=G0M+0Uhed
zQty(%1yhnUT|g&q`tKiFM*o5KGQlg>USBWZ`keOib}8b(=LGc1gN$f_2gaLzfvOfK
zd5y8-yz*qJ{4ViLTB2TxiFq72#zqAj1|<%BhI}o;wDsrObMsAjzpy5EnL%~s6w;vT
zz!OKxOp~I8hoFT|P?0A%^$;CHre4Vq@tey`Pi*`8*eINex&w*yqM<)Qr|6X=oru-`
zAQ;F&R~cjYVqN%NqMUchAZB=1aXrBdh}BZe;MXNQbS#_*r9#KTB_xS#2_4gh#S=Ql
zauz!N226~Fj_K3lgpOY*a_lHHDlYk+6d$^i%-XZuE9i{5qGdQ2cX~(Q#hDw27cJ%>
zIm5*1A1~eWiE?ffo%GzmwAqPuK{94{D=*Qk5#*3Yo$`yWF#ZiVPBn<#aw;787^?n>
zY<2XIAPZQJN!qY2s{F2_ZuNE_>ii+<41viQc0){%WgKXJtWlP=VC-u*dPi4-7k0vB
z<7Ub+`61AC(PIYz3=IoE9;G-sn2SOOKjso+4IL<U+-8153?|ZZHWYb%Of5?*E}*95
z*W`TUmht4=V5UI|z}1Awj}UI=WZ%Xc7g=ol{WURT=tQ!3#%k!~sEFHD`QoA9uF9TZ
zdo~Qp*2b&x6J2ybpB!r=2N+i2fiF9l)}N>zZfezHBvt9~I#)}UNaK5|Ep{(8`WWiV
zZF}hX>8%mFu6{SW_Yb%7xx^|x`y$h~>-ElsBf|Vyax+=FRWB?1weLRJc8P^0O+*=)
zO=l_(VL8ddt%WSRX+y3RuaYItlz2h>u*9t`am$hQ)PqJKu}c1m`$YAt`~%qYSNH&y
zBpNJH4It%ifl-D-#*g`Zm?+ly@?N7qw?U=uz&z<fVwm7`f_n&=#<=zj7lsyHE89#5
zOx~EIZk24a4LOO=@lD|i6rc8E%MSG?7$ia5^00pZJGbxwEZl-64sIDi)#u_BR;Y8z
zw~W3FiYc+kKu%$U1oO!^2#v<5UW_{s0ya%(Ce*TXb^Ph0do!W@L;)DeWkQ|chh%_E
zC<b5|VJfbRnNZnkm9&v%Q0eQLP$z1)E5DSUN#(MbS6e>!(Rp5^sG1>=CH29AS#uk}
zK?woN&B!a3XacBc0e8;h)kZ6w?do<d;0FT0%j1^aIiQRAt^TnC#5@;;NZB|g(OJlC
zBEihYa9QKz7GT0f-z0hx%nT!l?-jXh&}Qpau34>{t%|bS+H%tzc&lPMw#;{1JgP|t
znK8L$2Ct9o%3W897LpB;mmv#`CwB&O0^fZtb?cOf@e)33AjaaKq<>=>6bmQ)Z(ySd
z!9bvRhLW4LTbk8T#rd=<1>CFA!NwuD=YehTw?@@&cYZdGvi5MVC#2pmjjo5+OBm+w
z4@QmZ(?0^OtT|f`Kmn=fe2^WBG#zayN<H@MdAgJbhCMZ;jM1L(PmO^MHLs{z5HN9!
z{xdWYcU5(zE0x{#=g_eil@yMbc+7>0b7*vgiY@id4rM8czcjcBC^B=zY;kbquDquJ
z$w&`=Q2w1%)t|ev6Sp2w#eAm>EpU=3Du(3R`CbEGpQuHc%wp8GiBsWz<v##8m9^b$
z<E6aFRQXq$t2I*vi`0=!YeN^JlZ?sHQ}t{!vN5$6O45_)Y&cIJ&OI?jbk;*7pEpny
zo#d-9q0qFw6QN@-0!efv_Hv?=L!Lu)EcMO|;vI>+G^{=djX74a(ENnB!%qoKXuMsD
zl!><m^vZ+oxG)CBSzkw0hn6z&OQqP6r%XH_8x^eMit#tH2U72ajIb{mS$W}jQZEAu
z1+rsk;gbp!AdX;!c*qDYnbq*BGSd?V(<`x2IHL7U-~d?-Zw&@=P>tisYRFkYq<h{>
zl=I3aF+;z&o?r&VYAI&$i#yM15axHOtOl`xl0>#-HGCB$-giYcmb1vs7hqy6azmdS
zksIbN_Roojmc&Df0N%UtO-1yG=nZ*ji9e<ntDXxMS9%O#x_bov{H=tJKAF(f*9puG
z98kL9rWTm*^V4u^TU?WQS`~K69&G!P2@{ZGaaGAClQszSKoQJSIX2{r5`D?mnHmw2
z7m+%*J>rII>kZiU>$Umzyfeiwx|!S~QOd^aW}V^^t~_sV+D2GR29jv8h1r5i2E`~N
zj#wSUSGhir&GZxC92IG9ZJ>tWe<WL_AO3kyU$IfT&yp4H6i=t6=aywgfz|R2b^MQ<
z@56tkes}$~n&b;A+yT~DMulW0c0-Z0EF^i7eda75#9pYwc0vJc_tx*T!uEO>Y;TwN
z{-ksaC_KJYM2$;Y7Ja;MpxN+l28vKtyrgkND9?mOp%Kc9`~%p%&3ph$hy_bjHKRl*
zvscgE^yjEDd@!)*%<gB_S@*fdcy6_(T3en7W;T%Ov93R^9MQiXjAF8@uFm1veFOBA
zA5c4<`2cxz1bdlg{lh9=ra=67MjixV?n|Oy=7-#eFx|ZJ3yFh=!LJ$`CcMWBs5eaL
zmm`3oT$u0yKO_T$2^oL}J{6`Bs}#oEBN!dDPNpsQaO+3W{EpQ(++ND*(!fh2|I~{b
z2a9}~%}9ybxidY!=pVq&u6zIs4`PW!kM5Kv>)_Zdt!KYu!1ILa*>C0O;MTMM?g!LP
z2R=Yv&t5Vxij54|)lbvuxnTS)0J35|okzG^PmlX&=0mulSM2E=ei<pDr=R8p)T^fp
zVJN4kf6))g0D77MXy7wcPoG<M3z}2Hg`tQSd1vfUzqdl8P&2maAHdFqd;p93#S(}5
z&CFQ$R=u=(eT6aJg4IJAGxp9Lp55y8O@2V_c;*A-)$7Sl6dLOD9sXezP7gI>-6I#P
z$2`K^>hVE8<UWKM;%rxsejYBN9>3rP)T<r~VJN2_zv+i$0QJZKH1Me~P2P+xu8Y}j
zHpfiXGWh{`&lV^7s6I+B04FD*WyH>(aMuu}vHTzIwgd9tw_@2c;f(=DAUK88oT6Dw
z#_R5gc908k$9{*o!;(ELhwRi`zWpzZ_KJRN9;y9INGh<KALGMjQl9+;XkB%Ip?#(1
zNPkg`upmfDKPMkhP?H>wV=|Z7r3>jhn-aNQPcWvUEA~qA5WpZ#mK@neRM1bBU;ys@
zPzlho9{Tdd>eA6pJX32=_mj_JugWXg$*IsZ9fM-J2|nea23v&t_G+iqzbknddPtT-
zE0#}#e3m?dy)Fzn%yTlaWSz+*UC5r4O|)`Zq}*qet^@(-``LFwu&-4>ENpoZjK$e9
z#FKk5R#!qJ3t_hlXqtKtYHZ5GZdXFn;jo*1(wvQwNt`afRgItp-J-rW#_sOPE0jz}
z+jD>>)Sg%1Ab?XK`4vKwraN~*lFq@n6?dvVymaRI@!{TX_Rvfxs>1U~DuJI{JrFnJ
z4ln1=UT0~VL+MMpMU(vq?|AYe4z`F0x(SKcgyVBdTPUqmI_){FMz2xDv?}e^?5KSp
ziKlxqQMRyNhTS&9?rd4?CQWRy>DrY*8U@x#!BK2&uAg=Xtk0WarGz7gny`(<Ex0o;
z?)Gs3-<#gd9@84+yr0UMGQca3`dwRg@w0U|$)MANwsP9QYCre)IC^JA@i)&Y_-A`s
zS32=*`%nxQ;diSCnlW69->kw_@AxV_-0{Av+U&Bkh<H;K-$rJUK3L%A+8uezllUsR
zlT3~`cv;hb*zk3-?a@G@EDU*iG1dv$iuXFSNks{9on#w^bqtw})<T_j@0Iv3aUk)X
z&?wYT@}PeJ`*xHMVDXb+iE3{sxEMi}W^<S3J6CdW-6a+3bN?%&FZY6_nzo)$9vej6
z&XYx}MDpbR=~2+ie?e$8MzwFc{Rk<s>HeN~&fZOTAq?84dlhLG!HWEwj{l$fVHsfC
z%|LV;Tk5v^cWv0WY|(MsooT7$egryy$V|DD!oqx{TlLAGa-q)11{)}Vgfbru63l!X
zVSL}-j-yJPda_|4!*lX#z{=t{9!O%y_mGZzRylE#Hm475o9^cPWpzp@ruEg&qeV{M
zD1lc2(+hGe%?XX`xpoiCAu#NkN8s~Z1lI$zTdV1UY939L*4^+rlsuDMf&4O_Tpr9e
z+{jMuB8DY|JcBp((H)v4Jdse~4-yF_*Jm_W?x^tG-gFZT$ubFV#!qxZ1${Cz37N4r
z!NFa~4HeJFN56(|r<Q&{-pZ{Ao6|}yzJub|ot;+bX;Qch$DSbQbg0=nv?d;cc_=di
z@lhbFy$EU$=f~Vy?2BY!vK8B2{`K36x5>8Y$CqMmAbSXzCDUb=;%!eL;fOL7#pb+r
zh=cRav#hg#*K1!TNm|1Ed<8TLH9!0Q0qo`{AHZUMVu{2298%UXica2w7*6N9C_Z4!
zWx*E6aDWW9VBSq^U_fm*pBX{*wM%t&sCMC<)U6^Tn=DyHiZaZxePDvn!+!MJC-ON4
zTu_40WBvi`tj`Cqus)VJSbu$%AcTnF7|C;S79-X<@kd7222IP`!r4H<-1K-3v+kJm
z$VECT40!FB<pbog!nO`NMo#dLP#z;}kOg3aQPpsF(~^FcA66eW42kseyn`i6?0qlu
z0_xrS`o#iZ(DuIU0t#UTSuXCr!4Js*J6{H%flq}^@*1wVF7A9Yn=82krE~~8-<Egs
zs#;#0oo@o;`*uLa&ew*440p*4U}e#Fz9-wPbY@QCHV-a?<kX>UUY)B`>%LbF#$Udx
z0ef4z%md8!xD&Ug<LE%#yFG^c7S4wo7iQ-g5JqAz;&fs-q1B?=%qc9ly9@0`s=lO;
ztTCSaW-y0{NYawt4-nB_&*uz8Tl|Ya-cts_;#})Hv5{mn5TT)51adR&K%$C`!`W>G
zEXXOjF`5CU#R#auw{)|6uigO9O)F-+X*}E%upjx8V8o~g@Lvb5va|*CpqvS3CxMYa
z1qBqi&tC(AMVdKf7zV}-1~&ANodqkhJ!CDViWccdjo}QFMOi5j{7V`5Um@__RaO05
z>hh1TLC0PM(rFioz1$53IpjHRFtF6Sh&$`b@{>eoI%p4^A5@}e>xdbCWr}S)`9uK;
zkXrnfgO5>F|J5MR;CmVNDjLa`_ysNmY0S=5;Tc#ItWMmWZ}!LwD&&lr_4*AvfqR|f
zpRO~zo29&5A;fAObmtH&EK)IS?xl6HVpg#*)GS{5vyATCfGc8iI)Ue|s)|kW1E88M
zEsFA{>ffWfy=v!R-0LT2L&shOk=RJ=<isY29EaFg>TL;UlT1=dGy>r;M=chPH3f*y
z35T~!aRtan0z{7AP=QOLdAMFRU=e^(rc2+(q;m|u=@}T6WS#O`Dql(ATq(axw30r*
ztrTPOD?sYls9*(G;v%P@GnZS1?HN)FTzSejU3^s}z^Shm5dNiQ=0f*I90?#iClSth
z$RsLxiO5^ZOivhFZ^lO9q*4@_VMl;{U~@2hAQ-4YwG|(>SYQ1<QOK<>L5PUx?=7w;
zE(<~Il_I)dG4RVmgo!Q^-29Dr5KU~xBr)^1aj-SO6GX!`f(6n34kpHeX!OYuMB{O!
zK~ueI`ZKaa3#GAes!aUaGmKD``Ji%r^!i@EiY&7YG>gc46BP4Z+;Nl5#5TI8H(|Dd
z>DZcSKn@ie4E)-5NTssg>dt+k+2a-K2n!4e@&OY4N2xeT)BhAmu39v1K@mP4e1qg)
zWUHV5yec)P-#|FOP9sZ5Td(t`*aDe9>nJ?tVjl|qLB|Y{$r|j2Qt`6r9mQLH9KjhN
zJES~<Y|r4%LS@R2sIRexK846T1;=@|Q=w6Sr>l;Ksh>=Bm9WPtZZ79@%D@kL$MWJq
zrf>lRD=6Tx%RhkK5zPm%c$cw66+9)?Y^@^s92sHD?hB1R-NLLcyS|h&+O!1w^>1P5
zw9FPuwAm^scV8XdHCh?-v7_7%1Z?aqxU@LYf6YI(;?i*8GU)1PJd@(e;A1l}>;QWd
z!_Q~nObfmJ;qBgOd!rbIFqDg8eAo}k08tDEpn*??kYa_)6jpIvjAGc7xPD3ef^Xsb
zvKJZZrqIQW`exs_b1zuJ9|1T5biT;zvtcH~Y4T$*BNjcnaYlgUCGz{0x-~<-{(t7i
zSz&-?`|fI|8%LOs*f=l`SFz7@+Otv8ZNs&AV0$*&t!n2;)M$b4juH`>S+OxK-A)=C
z$-g5X!+os5?98@jOW=fs-^?V!{DjZ?2?@d+dx^f{8f&Mb_Rx*QT{y>JqX}+`UJH^w
zlpxHNXmK*1@Lsr#5uz(wqi3~_>>~%U!fEE~xtJOYsj&0n2>>JDQfSpyf>EHl5q=C*
zvW8pEgzg-EVJy<j8^gvZ=@-7t=*~|&9!}Xo;JK@+3qz@J$}^#3FM`M~%&?<PG>O&%
zT3EK`a^++xZ9H!tWR9E!UhIxC78A-!e3d$gMxPmE^yv~9PM!yqLp|?xs5=mb(-m9g
zE+0SYle}|~Nrs?!B}lKpFMZa>ef=QgrqIY|S*Yw=3b}6>6uIoQEoa|-25#Ro$Q(It
zVSlv6=nhLX1>%UESn53`P=iVurJ*fgp*F|Mj5k+EadQD3akb$g#Z6SzA5y%L`3a)R
zRhc)8)(!qUJ}!Vx8w}aAEOc?uq7%(k;r$r?rc8z;wxiYqjX@rUuNX9Pt6Hxti!kF~
z)9k^4o{!#Rk;V;Pg*Sqz5#q?cNLrJ!`<~IA8*n5JUrzpkz;jm}SRTI*9eWW(%L&7d
zww$CZ!5b>(NuTv;F5jVJ%?-OUO-=<rg2_D~;<y%H!3l$md>k|yj>5}18j_Qs?@%0L
z(xs`6at!EDN0xe*3@(_Goaq8O0i|U^RjjlgE@1YY((-mGLcQYwz4ACB8s32+r7@~H
zwAUVPDaE^dpKud4D%d9|q24p(xqQ>ahtqEJO?U;YCe!_b>Sml0R2_JtQD&MH5S)P)
zKKVqR;M7BO44HZ*qrk5&Gd;1}`&DcdPQ?W~vF;59a?r)aaBCH-z<Y>t-j#xw;Z4Q$
z1T!F3OEH6Am+<JY@EwR)qrVZ44hv6^B(fzsO#2j1bQsH7boddN7>f?mr^Sg5|B^_c
zqhKii(wP(=x|5}j8lo*Y7k7F`;N6Dj4kaMW0dXF(Oh36K&ko9I72O4Ls@0n+o5OCY
zqCDlWM&MuCZOSiFi8CV=xJ$Kp-7+cM^caZ#wrq7&AU=ykkEtjH6HR{CvG%WW{<ag2
z{@8PdyX0T68zOy{N}weDY)nU4I)brl9eu{aXqJtesk7u80L!8W1^jFbOFN!=Sn@1I
zUgy8#EMg4@C`Q`m=VeDQIP*n3FOTV5X`%(xlw6vejywXlsRy$PA|I~rO8z(TBu!z0
zH!d>A__8Nv44p{E&KOL&SzxtLPx>8&?3JRY!=P;8yBI&c7Sbpa`s7&nIKT_JTi`|d
z^SVPzjT&-Nln$kHDJ;HkV83-S(Yse4H`){9m0?@qjtqQbXg9lK%9<F(^QM@ur=F?R
z^?K*Rn_&Jd*_W248@;^iSF+d1wo5FwXd=qUOgd9}I>t#Bj{Yn=X+y3RuaYJElz3IQ
zE^%vH{2W<JHE0A;93}t6{RqM#{{Z&<6Fz_?2?k446Gut;8D%(R{Af6%VD%TpI$x$n
ze{PdW-A{SaeZ(-q=>V@GWE$hzGgKH_bTzEzEeNX)lP~sDw@S9yhMdIb_@?mA_7C{6
zWrzCr86-j6@<;vw?A*c!uy6~OIJjj5RiBGjSfS1-UpD$OD5eC11385a63i!$5E_k9
zy%={O1dN!_Os0SG&e@yE<R=QiP%e{c#icqWbvz^kWHK=T%Lr3(UCd<4R;y$R(T7T3
z&ty7L&2!LK*}U4)Jw`f9ZuTNY)eM0wsSg&+niBvAMfI1P;ZrQp1W?fe?wrMojaE9b
z>vk>R2O>CU@f!cw0b-sDC8X@Ofs*Jf<TjBYW@EUladI^<;iB&a?FnLr{lm9}Tr6l;
zat&87){T{V5Pr)|bKrZ5wIfa}*NP55Vsgw3L@Gs^3#|7gT1cr%=8*d1Nh_EM_)cr7
z8>U2z+xV=37>j?v{gq`<EWGV6!$uQ=fk5XBCAVs~w5X$s^BqD8m{+5NjYDwr0^7`Q
zjjG-5{A?U$?cp_CNS$GZl^z~1VUzz(Fltoid;?lpbFSV31&*96EYj4ovHs|>W6wK(
zJh1DjA!UrVgC8;mHZ;7VWkJA1IQ_rTMBG)?MXpqK)<>XYFDfaVF7cQP_2$s%2=!X(
zogK<j5`SrM6HsL4h}pW}$~}2=0g{m(JolteRsFdqJ8{<$Rm`V#(D){aqGCvno$od9
zO7>cW$tXr`n>ZD2Rek`#sjTg08!zQWrpb3{uCT1+Gfl8a9mzZ#p$pMT#^mTBXSNT4
zdm^lblJq1x%P-T1b5BeWo&QJRyQ`|All%o#4o$mT3D9^ENTMULmlK^F@*JXLsdr`&
z??~jOVf8_1%(04v=Gz76%?XXSOOgBVhJapq^c)w)z<}u;RCQ>%56>>ejy(6_Dr{7+
zjw^2Ukv(xUyR($OWMt)q<H;>$Afbr#P0*sqAI=es5Dyu_CDRiQm6@I}n7Y^~9MSsz
zj}~>qA^;7jSCWJv<@DNMAP3br#_+|u=hZ|xx9S7gBxd;4;(8)I0kK+&8T{hT(-VaG
zT`E06Y@j5OE$In=0TQ2j(i5<pMQJ_-6Jt>t`s9exFi)|6PCSexUL6DQR^ltH=nT;t
zR+y#6pP$m+lxH!d&m&BCW8~<sBy{x2gs#3WkGV?y()7v9THnS4a@*vkX%MmEPpXJI
zBJWjRJ=E=2>u1Boid**4@up+y<Mownt*>u|ms?i&v`0GHZO?b6<9>ZB^4Rip{q%eX
zZgA^O@!zjc*NI=6jaJ;hK3(07d-!%xx1Vl+SG&+C>Q2Imq88k3UhAi$H`7Uu{u}%J
zf|BE|PuK7lhuR%zzXtcn-ClKe4!*2q!%RWnx53wA_}BSP6TThWYfn!ds7~L8r7+wo
zd`sp?KRscl-R`yEE_J2w+U4o7U3eR(H9tFb80@pzKK!yCj|j|70WxQyX&1U2XTQL+
zM)b=R=BZ85S$cS)21eu!ny_i2AJ(x;>ZY3Up}5(<c13zjz1r-FudC7x@!<yGs#opJ
zce7tt)#3y52cf_9_$(RV3TkxX>MZ=Srq`)X$2h6}Ytr?N*4%t=3NFlRV`6hZT{GXC
z*>>@^ZUa7_suxbhold(mRfoeeaG4(989{}7;Pklmd{6IX74_0jCyWxKi{z)ktLb{y
zZw7;CeX3qyG)|AlIdlP0bwE)Q=G0G*ZB|<c=c@-}z<3S5uZUay^u$g)-R{(;YVjQK
z2MmLc0bQSpOl-hNqXsYZ#WRh=5MfN$SLb`}sqCk8MFW`X*xLN;+>~TIKrH<LN7mv_
z3*MfA4v(W>0K2U&l0W-tt{czS+Ea&Tk)@8056`u`@s!$<xMaFFb*Ry8^oT`|6VKeh
zMDUIVXgDSWqP{g<2b1Z72*49s?G}_B%d1Vzz&(ff(own*Kfxef$Vq}aKw)|`2S~oQ
zQ@ve&1s2_aQU#pTItYx|Y|J)#{cD!}@1Lwn*U!asQ-BtBa}G{t9sY6v9zL8x@kpb3
zuQ%7-v3>jPx8FWFccfQuw<g=2gWGHIq3uw!yS<-230n{-&|<0=&jO)(K$z9=`?j;r
zy#O$~zB4mz41>R9!<;IH>A`lWJK2bPGc-)SH`|0E*7T|eK#FR;djHzh=>+iP?35Hw
z3I0?Ut^|wwccsU7kF<K#!&CLf!Fm(^2mT#twvqMMb!V%c-qefdL9V-is1xZs`#RNZ
zPggl=C#LI=?mrELXYvMECKN*J+vewBi1nb9dW|07pXq_SfP320jn)kCfKUu4psMK3
zAJFR^AI~0umyNo;BQRDyhP$%vN}n_hrw(qLif5~h=2W#-gB#6IGrT5U8MhAgVWmh{
zGZg_c3G9WJ3IfCTrr2d$#0(o?AYhjsXi8v(T0GP3-vLTY`?ZB`LHrqdn~`7Op`@8c
zjeZ})AKB;RZ*YzI68!0=Yw%~h<O?fN!S&txW_XN?%3-y+w7w=C<u`vxmAne<AUy9P
zU+ub-oUfWQepRD8+phIrgWH13FGmY4z5nMt<qfX+Kp!E@nmv2BuRfEUvl4K1F8=v#
zT%Pa8KPy(jpE3NieGL9wfPWrZ1Ajh^e;!;1e?EbKZafbD+>C$jJ0AYL1OJR}fIn;T
z&$sZ;ck$2hC&8a5;h&#vgg+~O0sg$<Wcc%2_-E^>@aH`Ib9e&&+<|}IbsGG60RQ~v
z>G0<s{PR=%v+NA`^ZK*kPapq0wE};(<DWxY;Ll6&&x)<^XAJ-Ra1#Ff1pnN!9scaY
zKlpYlz3-afV=DCI3|%fuSMbt7Y&ynH*;kZRN4|Fo2+gO*s*+1=ckFZn);8o@U`6%|
zDrixU@wfU5s|P9&Bz^WkyD60cRXxf0QPy6g^|(fiN{vp?`iHd^UJ?V%`6RP1Ua~Ab
z29}TM_B<{Q{d6r@R!xvdm;;y)V>|ipZv=Vywf^%!0mA7aP^ln(U0Au;fN~YleqJko
eCRtzGXiYcgYoNT_2T|uAQ^SRhuL+C;C;vaBbQEm>

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.data_labeler_column_profile.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.data_labeler_column_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..3e58e3064be940e87abc68d9bfa46f8ac71fa6b5
GIT binary patch
literal 65527
zcmdsg3zQsJb)Y`;(Tt>#CEEgfEYrpqk3bp)12K$kY-54fmL<!UzX)wp(_J%FPyM5+
zTGC+oKnM`~Y;Cf;YLbw!AC`b)FAir9yDS?_APxsYAR&pfu#U+&OE!dsWyuL_SaLS!
z?B09dr{1f2RbAcFLo&m`qw1>nx$pkpy|-SyYyAD+`+uA0fAOxc<N2*~^G?0qYS-Pc
z7jLV#Yu%>Xih37%`+uhQXm2i_3Y@cHyBpNpUc3of)I7gY58PJoR4<;v=8@kB=SBa?
z(5*#&yQR8&<KBcfd8#+(O~vDpA2nR<Q9OItiJZz^&Z66JgUW5~Mz`6j91q${KD5Jb
z&}-~I_Z)&#-1xmcf)=K`IG*S@0AJMecE?jywIFY6JR#O`EFNq4Ew^{9yXeHzP80?H
zVmE^I<9fIH^$^!KS!+092shz+yyZ0c)wX)Kll)k8YNrEt3EOnz$;es8M?G(sH|y>2
zuJE>c`{LT6`$IPf4;_8*E!VyN)rUGkn}vt!uxz-(Wd?@;!tfA>%y=*_TZHr2zS`hu
zs@4ciRq=E_2w|mH9@)}e^ftxgeyi@D(@@N@@4W<8=3NE&yc+(y2L8Ji{@ahM1VjZs
zt!*wI>o|VUix-;hdbi=;P|?9G2Td=2J@0&Qh`!#$v8d;Cy;ph%H3WX7F9MfbC+Y@n
zbun;SHP65y;+wF{ah`|6&dLH(0Wi^8uC$kiSvZhjGmu~^o&xT3mIJ5bX=I46yRF@d
z9KRJ-h^;D1?STH{@Zq$Gu!^8@1!z3a1z_(`T@!J*4N!S2=fz{*mB{hA%z&7`8CZ55
zVO;VFV1AzKE2(gDS81~RL<qPCWfR|h81OGNkx)c)oK${m2!7b#iw_Sj0`nOldRC#}
zlmvMn1Fc=t_)IF>O`w|LNj3CAC82O=ZQ|QAv&^C1TBv{kRL)n9wOj6iO1p!4JY1+~
zjqm37DmPJ^{luVi0L3nv%W1XRk(1K?@dQVrWM=s@VbBSnVWS*_##85-jfJq|pe@?g
z30%;uXWSn0ErU^(gv$L->q2ALXpQm-_}szq304`+iL}Jtc>L-iSW04ksJ<qd-kDFP
zxp+J9+CiWR!5r_zB@pT9x2qc+?;YMFNV7*1ntA6*H^JJcXzl5R@7B1GOQ&3x<%tRO
zKQ97$8v@NC-i8zB1N#d$VD}KPsPLO^<OU5NY_UeJ*Whr2ij|ToF2QPWec+4I1FKGi
zcNF_7Eky%njBb!qwKwKJOhkP=A5rn<R?pE%h~#@3F!Chv>m`H+oV3$z)uL`j32a`F
z<bo@6*3T8q+R4uPTVmF|@#acus3-NIyx)-aAf8V2n!?kLj@zn(>aU&y|4l=!@R#<+
zTcJ~G{O9%Y^UWxD%<fXX-2`jji??)Ez{!Fe(MkuD);NhokD5eIu<S-XJ`=bNE5h&U
z#n%lk=BN)>7WnALkUC!nJUs{0vEb=BeI4Fs6`nSqS5!KmTKW(5E~%w|Il~!9qrABR
zr2i^sRLCAfn`2JN#y4-;R4}XV#A*olzO7+<YkQHIxaJe-$oBqM4(43bgZRzNDh2<i
z+G%h}J@*8l<HNA-Uzh8SU)tZg3QkS9cvAF{G*Z6}d1CvE(Pmu+y9PP|fEp|03M{+6
zcmgXo$O*E{NKbS!YjV3sQ~JX7;ET^PkgchSm!rjCYh=^qS7#^hJBHZWrtHgD><+?o
zN`eZBl7llK*QR*4QoQYs8#qxr&{SEx`6kILaAjhnQHYIrb33DW8N)8KeJBY~O~n&_
zi?-Lg@gV`1#>XP<KT`}4n6)LR+lZ=XoJQ9*fr~E=yPZxuh^k@J38J@m+qji~9F!n?
zrw(&zLG9o0Lm<(@+Z3LQ*5{OiyKD#~fI;km@c|D5^bo{FdWIJiPw<`caO&RsjyDl+
zTk19%+^k<fonQC%Avi}i19%P!6)_3-CTp<&)Z;pGpET#)qSR9JjSd7n7AoA1EW9np
z3@t*dR1_iz=dmw$&5nyb_uJlDIVp$IM42~w8w4OIF0?nE6w@X=n%n}8dpgA$iT#NG
zksN-tka9tpiYFUB_;F4{6C?I1oF8LRd*ho|IZv`eFnzP^nbgWmwE*!La!$Ap0p|T6
zH}3`)A(#Iq=kia&KSkU7c!K<r+Hee~Yen`&m`by=(yQ4H6S(I(4Zr3`y~nA+Stn@0
zrRLqRk7DP<Tk$R!YIW5p=FZQ)cpdKoQGki<L4Ls#-BdZ5FiyM`q^ege7MDx0$VweC
zI{P$`KuSIP7W@$W-ET9+zKv}uuxSe>&9N^aZOP~D&#(U-+Lq#1_8g9?IeF}_@kZ9G
z&gDP$Jaiz&V}A-)-Uapoj$m1?;2!p8*o-u3LWs?$G%~;s3lTIkkczb8zz|&12Yw3Y
z;95G-!8e`gE@I#r!;o2(S~h05%2AZFz%JSXFwU|W{3n<0>75}45!bu;S&8$yJ6e9^
zI}QIGF2%)o>Y|baaWSk58^<nef&;fsal_D!LKVv$et?7|FX1HFHz-Ni71-m-BU^!<
z+Ulm_=_TK7)T^oJh1i@y+J+u$7Lh-}jE?A;4mC_4ml2UrdZ79(wG=Xf*AKD|_FBI9
z>+m1$?BK>lL9*DcuVf&F$J-adQ*tBw8gV64xcVv>|7Ny(BAoNM(#qTkN)+s`96VT|
z8z8DRp1WFfF_bTo4t3$-KrmLg6;<Gkc57LiLPTPuXH1wh@$;6__=!>fg&nu%FZs3J
zV;QA~zQRKsfA_&ZWL&mX<`Shw^uR~Ds3-20;D}A}MRGZAv*S6TAL<L5;MkFbmp{!#
z1*u6)&nKl%Sce1MB%t$~>L!94A&WtvIE=ZKV-XC@Josb98HQ4rLfGd0{qVIn9<TiQ
zyDp@nQ#68s*S+z+V(w8W>(@}gr;pyx5Y4iC`d|~e<!)#LgWp9>*>U(sdJTdX64AI#
zgeNL<n$sb6?IbDUnk-o4xtV+yq<*=)u!psIVio2PBBFjP>=4)fJA|~9fyyVe6pklo
zx!`$ag##by)1-xiy<Lah79tSKust$Y^tsej`FxL*5+d>$0zJQ}E+XvbpfTx;l+SJx
zk!PW8KITY76xuQ(lEGSzh*;WPU50HG;^I=xfuqwi^%s|4>x0>hxD*b_?u6k0j@wI&
z`X=5KO<s4gc+{WbO%IkB^_9G-bOgM8BBwZ?lJHWM1K!E_e&m|UT+Rj=Z|5c7HGRQD
z0~J+~0a?^LMls?%XKB5@K)FC_<!>`rKIggeM!YuzqZpAQ82?PQ8{_lvU;+Q3c$3uB
zm0L~yVM^+p_d)Mp8ryprLWb-UyIl2+pIN6FPJuN_bDmaMo4HnJk87ppup9EssV62f
z4=RM%Hlw-|A<+m~VhxS#01kk_BvQpLg?l`J$NmlM&)A3Hk3kal5x6r{iUwkK7uXZn
zJCC10iC_?K-P4x>7%vj!=`OM-VbPM@!gI*eE2u|*9hw8B<N&a1wor-(St-^qr4&Xw
z#46Ho>^Q&zuEZiE0cH2#PfGY|zb9L5UOk1OW3NhPUhI@ss~q1Nd4cQHtD&>B7CQ3y
zXmn%(qgiz_kgD8gQI-0@DUG>Z!;BPs<DMz<Ex}V#X%C`5nd%$=&brl~Ix16YbZoKR
zZg3YGeb<Hb2INt-eqrjfX*52BiSqZRx|t}~wXE)379`I2B*h_NltA2eA<VjZPS-E$
ziant(JC87@6uS%e)?Bgo;eM&#HwgccnqL<DF|?YO1Av;h(5-};XZHgL>=XFs0sQkH
z@Xv$l>LIuqy-IIkaWLc@-M4q024usanuH4G=Jt=s2@bKAu2zA<BClNsNBFHHQSv!Z
zuR`JfX;$IqOhTIjxeHhrqNp-kGIxMRkz-yrnn594@dm1J6v{O5R3`;dq@_~7O_llk
zz;Sw%AYWzb`s+)oSNzrWYM*i_4+ZL2*_dpUUX<IA@11g=n~45~LYZv`P`sT=(9K@J
zVF<#1E4|eC2^2TUSfk;qHDOl4qe*Siy`u+Q%<&rvIXm<@q%fE_O+x*kkWikz0OtG9
z3Am<IRnn%hLXopqC5Z_v6*l-pmtd_bX+&k+$mdxHY&3(LxZhihn!zidMgwFy2XGGn
zpGguIu}iX*&+`?b9FKjMvsNNCCv=V;ksZm1%}!$yDL1LRCh=ZhOguX#UQ0+TCpfnk
zPhb}uF@Z&J@X1CIoKvZ_<eTx5JD;DV;5<w`kOH}gT?P@H{%xT`j#(|Ne7hlVAw}LY
zGKai4ml7md&1fqTer(kQVwYez4ogd9HFmZ_I9sqJcc<^M;aJnB!n<SdMmX*GNHEDh
z4?1bhH>mp$r(biL&vV7(W_1HPqqK4Tg0S({jjLW3dFz{6A(V3%8OyNZIcMAoCNe{;
z381>vaK3V{<A-j=4FV_xX~WatEc{mGA0rq^nFsc9&Q(vB76K$Fmga0!f<7fM0R%k&
z*)8d<@__RkdzIzhPiyyLy+%c(Y4uwQ^OVVXb`Z47vX#$br+s3-aReM2_GS$L4k$a4
zxiwdudjDzNtuXTMJfBAC_az@*6gGCt+&wX~?WPYekYL_4(eP)b(V%CKpMYMX5)YVC
z=G~u%yE#QE_{eZ8QU=1zyIbn|#8NCz%=P>rHBridYRVk}7g_heBEa*T>h8fng(?3V
z2F}MDMMxFWGFkTw&T_KumUeqA+@kOl+n$1XOOKP7wzMbC711pFS|7Y2ibV;^bJVn0
z4qm6r!F73p04Eecu&%Epq`Y#$KdHM4C!`WyIc_p(K11ZwRLa7&FjkH%;G>_2EZmZs
zD1SYgEZjtZ=Qq`5flWf=vK1(Agtqy3BUw;L%g90oXF0N9X?L-WVHDxv<r5n}&9d}J
z{iWe$eK41ihQc9bg~=b5kTFqVg4U@h*@6Iw3X^BJIQBKEllKZYU&xR8tq@3(^FCO*
z&eHkpgD{91(4WOleT=F0a*MXRfcIa`SCGVSP-4F{2qfT5&9YtzvIztu!~-F?n8LDz
z2WX)queg)QtxM-uA<(FTpri|z&Iz7?Fca%M<1z`$;Tf0T#w*IW(AC;xT-?At11G7t
zJSbajI-L#{+m5E>2ugP04Z3Ir5-o2*Ga^cOgL227WD^tfR$z0}Eb;HJ*NA`4Iw_i7
zP*HVlb|0EE5)}+2DVQlqsfvuBX?IMm@&a(BE*SY*MNh+gUG>_SL`jk`m*!&}3J7wZ
znkfFRLe}63m;}-6J2(unOhV|fx(}~R3cE1@85sO&&i>=V+4a%{JAspV6P?Na2nJpA
zFidIo2YW{qVH-|APzdHv1Ocrf7|nL?<8DMnFf2bNsUj?Zimvo&rFe&3G6C#1%l6<u
zrE12J3i$HYbHt|v`YzEqlblFx5rw^#D}_N6vnNca6*<7MHrx`~Ebe}olv~_a;1yY1
zy2`P*0$|L&4qMk-@3h0vUu?M5WOo&g-snC&5~FK_HQ(lbWxd*5`!f5P+?Qufu6>~4
zE$-pc5~VBTTU4)jBa$RBxR>PO8|<z9p;B73PdcG6HMqG=u*~koVbbQ7UjIwXE&ViS
zcM50EGq<*R6V1mKV9+%;w`EyhTHB4rhGemB66EV=Y_AZ;Rx+!W_efr3EpDXvhCPat
z&ay{JvyL>iH)0R|0`@rtc)kY@-DKIgTql@X#pnscl{K~h0w(3A_5xm!simttQ_BHf
zjj4r~W?QGLb$Ah#&Lf56_eO7L9~g<9%>bHjWWTgtjjUyj{VeR&Sqp0!Wq9-Yv=9V)
z^?RNIep2;{Hykk%+q&D1X)vsoCrUq&ReeSwXmG2VAeVg_he=!2{+rm}E1bPQQImNS
zCC5GtgRZ$%EyeEAq;4qIBYXN$LAZYQ^fI}51?>(|j6}PujcY**#i{Hsak^Rd7p2)n
zTGEeT4{k}nsX#7eN#zQ`k}Bp-n5?WN{l73Nx1@iES7b@)D$kN~fLCKlt6{eZ2V}b_
zeRzuP=<VozBeA0?F!QbG7uTy5&8)DW4ZSLBLo;IxZ$bA?f-IB@`RE(eJ*ro{!3dGq
z&s{bwgZ0eZR~m_I=QRp7gWJvot?XquOv-ldY;~KRmHAfP2?A$DMuK-ORLuJ(Jg+W<
zC(oMNAW0M*+W~{Fxiu}p_|lecASUFoR6(?Umh_?%-6kBaqtv=GpxFnCE7;vQ_$)hG
znlYr^oWUO4Zr-T?EM+%$sksuyPS~le-K@hX+-|yfMRt>}^6VxDcr|vDQlC7(I(n0N
z_ee}84#FYKx0cVYS8J&+uAia2B5Nr1?!(*2cPj3+sq{P*`iSZkZyfX|=5acOTd<7!
zEv0VADE_>{g$;wnucak;Wd9V0Ng2iTS>^!84*i7rREG3}g^={8WdcK@zgQOrU2}6-
z%-+%xZVXl<BX~}b%4!7la`dBOKZzX4GofMStmoIf%AyM;zDqtY^R2+Ya5!5fblp}3
zkL;~iAfTuzjY=2pDHA&4QI$ZjPvN>|*(XbLqO`wfu?M%mpHR5blER<HwMYasyRh^{
zw{q5x;FDHVm*4bTev=%A_M)@s!<ls}({+Do3F?Sic!(pOu!;5iQM)6Z3cwK+^3PZ9
zSgOF+Okk+xiXT>*Z7BbbJf}4+2gOeGu^!&x0Af3IRzm!@*6udy*u7H6uR=f<{-Qua
zFopGXy@rIwU*I(U{IE2}BPkOaC#nWrC0$7YYse_S6c>n1C_QO*oRbI979`YP0EoGd
z^$oltAB(Q?d@RnCtMRd_&KdYlM&iVd-q9LOY$63_zPGh*cO#h<_H(%`TeQp=!~0!7
zDlI*FY~ly1*ZPf3WROUNNSv=-nFfGmj7_BPD~&{M*!VUuAi2SwVmB;7D;vXMQf}Cb
zFtT_OLb(SjOO3V@of6;8l2MAwc)gmfg$d)ug)r*6&rb9Nx<vW0?*UJ&xr0_h7^IiB
zfiwiUYJVkU&g!aZ9?Gk4g@R>g*{wK@2EHcPX}HqUpr|yS7VSFVxLG`dq53M`Vuz5g
zX4%2g>?OUf@8jCI*Yyg~xnzl(#0pqsB{B(9mW_HGhDo_aeiL4iMW(Afi_8IDjYY1L
zBUcSvu*xC$hV=QW(VOMbl(^Yo&9}|#wvffX%zg&iQs-kIXm~4KEiF;H!ak{bt=|$i
zJ0?@6`VxC9Zm;bRmC_=k-BOquJa&>`nKf~kwKCf03t`MN+BWDC{mAZzLD$@9mlY6c
zxi^~rAoKl@AfMHI>yegQ?v*A%?Dd!0U3hg=i!q?#h7UX>@fEB>!6-sIg3y85=C6Jr
zB_!;Z5&Bv7i=}x`TJ{IA2e<4O6b3YJ<$(u1h!jC!qk8(LR~>+G2LwLg|Dg|l%L+wG
z^x_5inPeG&A=FG~QKN9MR>LQl`6$QCuMLYCj6x)sNkp?C3L#kud>*B7%#LNE5T6E!
zxzF<qUXjm3S9v}UC*^8<o(IJXZliZ|?n0SZ_3LwDfPBy9v+Fg-qgK|>nYrvRAo4E$
z(RY53gM1m0cA0Zt@~)Kj3Y@6m*6t_)A^ZBZ($b;(FMq6h#Tx|iNpxXSQG|Ob>bHrw
zZz&WE?wBO#V}F6eq#TnHue$xPaP~Zx!!~cCp4eAl&^32C3fNeB85@A5$g%jUAd=Ow
z&@Am$B7=k32f=(Y8Nt6Jq>N^XmWoT+t|{^icH%#|VK1Fkq-XF4#FMmyY0<glo?osQ
z?4M%ngu%-0`CkT;a{G4;UXlHyt33P10bY&$t3%YTUR?^>O(?jpMI$@4mp;*$9NJ6A
z3JMYr|1P-+YpzY?ddVwz>-xd0NioN!m+22c2CKE?FY_3th-|{g81T#lIvY1LO2#1V
zAUyD+1JsM!=1s-7WR~7gnrU^jw4i#$Us$jHfJuPNNx3uW=iEr8Z=2XWs_-(ntx9mp
z?!sZnRwd`+QmnFwLj*4*M{ACuL&yW;$qBOBO*oB%T9`|y6)qv?#MmlyD$-n%ckl?%
zlhjuGDEH<0Trbv?fIq?8@>T7P<xg`7j|{VfvmC5ahu%J3Jc0e}PBDSy>`r{58xHNz
z+wG_%^&H2X<?veW#+W$x*Qqh{>*w@?fr`E!fRMmP-QjEZ;`_<@=QI8)$E9Vd_{3PM
zhVS!|s+-TJs%bu%>XllI9pA-3z?<2rqs$<$l{%e<6y)y~&#k?6o`=ZQops5VVcPZ_
zDJ<qNaE?xEpMxp-O8K`6*UZksFiy&!k)J8=3&Xo~7>dpYBJBU4Vo2gNB>lfh&H+r}
zQ=?*5RrPO+hpyVxH~U#QB1j&GX#46dZ5p$D*!Q%&z0;-`r36A-P99U5Ut+YuR!-FS
z03;<ezdVZ7hNT3*?6pAdHQyNNwOC?*pR)CGf3$IY8`@)BFNDduP1579hu}N1aGI+6
zx>E)H^$H82jt#8<<WQYprQ)}uHdMJamej6k;C{+xv73;iXW0#<8C&e3Hjw{GG<uyt
z0MKad&r&@;2)5<%Z%47yKH;N|>@3wcqALnPQD84D-hd$ffy%9|l~Z(vs>XB}=uQ|j
ztT>Pt5N7~$XVE-YwXeH-x-<&(GZ0@3y|U-1F2miNvm^15;rFDJzIl$S5tp)gckfCK
zm#_apOyp^)j}mzKO?6W-&}pgfhJo|3LnlOX)R?Q>d{Q}lCsPjJ2ZmXnKz|`-Cpd4(
ziRDkFhsf!8YM9xd7y!HM{m{7V`I{euwnJcd%K^3j$4hgC&knP~GWgvJGAofw*XF#>
z4Kwc_LZ>1ZL+9IpF#BJI!YrGFbD~AGfAgsnV*lqb3lxZj?Na(1*Z9Ox8#%|PTH3w5
zq|#Ibip%x@Go79<ap5dEJ36hi-iL^&r^J!N4mB-4a`+w|2Y|DNll?K73UMDRywIt`
zI&vP`l>y(N(t-0nnj!aT5+vEIhYT;s(|JVjL7|Ma#f!I_G|E@7`BE%TAHD>}%CR8$
z$Y6y+JvWAUk%Gv7m{1=~4VMqKW<g#-;N>?RS`rVz!1>rA3&K%jT9B;}8Ig;mYjcfn
z8fJ}x1jX2;Q)~rS*n$QR3^VhIkzqFzabORXMKDA`GFm9ZdO2Fi((d)c%cG)Yyoy0U
zSEZrqud8<VAw))36%Hv6g#O1RG@v-I7+vg==M~?{mF1`og#O?_j4KX={s4CBvm?;5
za91A>+Dm@J4XB_;cji0oPPgGi+S^g3+9sS*syXn)(}OIN?AKEzctTJQ(J^A`ZI_8l
z_}05rc*Z@20y0To9%OlPU-!G%sXP@eF{)vsS^upxxWgJ4TYRgJz4-=FG2hmK5+KHS
zzJEI=7y~gp5MvbU6>$u?j2Otnsfs&^V^L)&ND&-zx@N~Y?n)ONLynsmo;|*J2V7D1
zn67fN$0AKS?188cK%ICy7+uC#ec<&7h8|X(E9TIxB1e4qaHi}?tT=F+?K5x=tRFgX
z9xP<f8xG`%@vGC29DcLY2zhoGeOd0sY9IWZkZ|$zrTl5?ivvJE-M2KkzW9ZmIn_7*
zt@WA;mN-hKTwmHB@mv`vIoGmX=CmB&CAMj#mbX7N$#<I~fi3HtlPtO!I>A;$%fBti
zIX5q)cD45uPhii#i3u!8KzyRJn}&<zTk5v-9DQirT>ElrER%KhB$aMEit?N^Nx9@l
zjc}Nn(*CW#Vr&eMn|n{;f(vtVePJ+ibK|60Bu|K6Ch~u=7?vTja~wp|66r+LvvW7t
zu&<@QWLwP6C0dFtAkZl3W_C`Cxu*7hm>4GAYA*gi7A{@~x-93>B;`2o-<MmvOuN~Z
zpCFlC4Wq4j+U>=8_N|AmR2@7KP8mvrTqBU%H&rzw5BVeKKxLxRw-xEw3pg@-G)qh%
zy{429Yiz_Fy?q<Nx)El-rZB5*$zFUs@Xx@;tKuv|fZTzS6Yd=;eC9VuF#BDO+5a&p
zX4$u~$CXF$HGl*<OZscXUlRPgK>(Gzq`$>ZidDgaTD~NxA=bCq_R1XE7}sg>4+MfY
z2XB99XIA)2cw8m<deiL=KS(k3=x_@-X~R8NYjo@Iu8TNsgF7#rQgdeZ%kDggxRw2(
zA}4JmckhJNmMUr0cT;}?ILc<ncEVUWu}yrWPm{L&X4G#|U{9JR_1lE~<*7jnC0ypn
zt|lP!o9e23pd8s844jW6if}3fWdd*+{Nx1SEbVT`&B7?yOCdKN*^nUbX^0b}l$S`D
z?n5CA&WZgt%4&LBtJ`I4D!!}sBWjvYcWf&5+fqeI%TWljJT*nyGo?B#`|TTGWpTlN
z8=v$2b`!5?zfD(bv)_Ig@+Q>?0!|}(RY_Hoz^A^Bj%3R%0bIqV`|_+)l8g#l<~eOE
zz0G(6USV=W2?uG-_W^lyb!M_v@pk&%s&D+c^}3x-@RWYvM$el}ipuuXUi1A50oKi|
z=9o$Uo`D`o(8hW=08X3;CVLd_t+|6+#7pQzf{VK$Xi9G6I|Z4n4!ZY}M?rF~g0o`s
z&ykV?fJU@XOnZZ6N+}N8mzh2VaB!vgpYe*6B3-SGQoIijG8@@TD=Gwe$4K-c!j`KG
z<7d{ZI^oMARZ{SZ&4sKcCtA_R;NjdaN;$!sH6w`i9;gVfe4%nTx#v#fB<|f$>F?@T
zqp=W2Koap-EdODej^~6}N#|k^)A3c+cSF!RdG#gyd!Qi^X-<1f<-{5QAtp&)Z`o-~
zA{ixh*W{S*Dym!Ur9B$?m(Zzf@b|~X6WD{lVggI>7oX_Pkrw<tJPP6DNXv%sMl-mH
z`<WSYEvB^UTMd2RSP*<34UpwRh|>UkrmU`rT@rsPZPukHhOc-1IcKdTC30o4vdqZ9
zq-Za>U;Q?5|Egl#+ZS?>)?6;>adYtmcD@%ASoj{F<naBBX+;D^vMjt!woAFp_os$l
zH5(=qm1CuQGHA^&?e&U*wWC!`kVT0tFn^|a25kpXQY!f*!=eJbU~ca-#iEZF16qWN
zlq?o<dk!;#=U(=Gun!diT9|Vx76^dB$T{_WAM6vwkPMM=;sB=bsqsiwxAkv}8K=Y>
zW8XxRH-e1Q9~Ulu2y-(CWB&n6o-r3$JjslcZTSh}*p~n$YrY}hYu^&6d=sY&ZD+qC
zyb|knR)00>w%gqnoGl5d5_IM9Nb8y#!U5RPSv>9=50+>LbvFp<T#2)7{arIrh@5=O
zaU^3YtH^$g>@mxJRGLdLD1l#B{xb0=;o*m(GvFcn`ceP<%Ouang;M3I-wH|!kWKG0
zZDGE_!nmubGMvOt3RvL9;>^qShp{po%1<K)&Lf91aHNfmW`bTko8ku&^r8E!rN%=K
z0aTnF1VvPc_G0K!B%p{&5g12Q>hZC(KZi|4V0^5^s3I^fc}EcmVsKh2>{_P-yYNon
zqwuu5QKt)M=C^~U6NS?Y0S21Ix8{YpEZtrqoV@{&Hp_0re@bPoQW7u*o#iU};YSqG
zNyPz+R%$-cb6OayAh3S|;N>x_`|yflSag*W!x93E=pDA0?*5k3T#LZ|XaZRXTy7vs
zlo1w$f-HKUkC+PRkEy#@;z2(YFOi;V7BW(CAm3Mg*Kah2<0lowPk#wz4v@EHA^nEg
zd9{2&udMIB6-o_KJDK;SdgU92lCC?=QO<Kmh$%n4x$j!EqPhG-D}J?jEq3p|7zh9_
zi$>e~Cr=m8t+{P^c+9*)A`ZtG1ec~B)csTGRAcHU5ft_af}Kj;)ZyOWho?xqkM;r6
zHtRNaE+m+IyCuOCRv))a%0><Vw$4H+&DIsCY+e93xVifVUXi(@s~mGD6v(iq?ydX)
z_-g3CV=XM+@lgaV=QS8tVfglCH$29`Df_oQ{SY*{anH1de<S#3nB2r)tG@B?tk*o0
zfvuEL+zN+bh`6228jf9LdZZRLP9vBI-;wIIdTWSKmeb$}aghtGYw(1)Y%7AC(%|0%
z+ON3=@5B01k#7*@BYpmTAyY%^b2$L$a|_){>+=PmIoIbm;1%g}x>_53{xD?C9aOsi
zVC#}3fUD5tmRgcz)RY?EW<0^VBz42oC-<Rn=I)D&w=>68-}PI=qR>JbN;}4x$3Zdf
zVBgHt)Z%kDGqyy;=~TB>>+eD0wFq-r1)dO>Eh5Y*1%3qXt+@g(;&`dO*KI|d#(AW=
zj|$EhT6N0-Ky_OvR$6s`0N~)N`&aOaR5x9%jp}|N@|zGXr^9Yn`@&`N-Z<2g-Z>H{
zoS<8U(tc6a{T4%}H1>FM8`QP<W$Nlr2o4#>+5Wid8-HfKI@<z6DL1>HqJCDbd>}>r
zd#P?eQALd~msQjWW!Y~d%qd0v6x>^LMV-s#QcJIUo+B0gF~Ji<t7tg@sAvnVN~`D}
z0~}mM|1DmTil(bIQqkQG=u&s|C9b1+%br8G3LX8vtd15dt}j(XH}KtX0Zxc&)tzv@
z245eZ=lAAM&?7p9eH6Av#0rv+VNA%CfvEtSAb*-hVbAX29rzj5cm2M}C~-tqA*m02
zSsBvtylzsKR=$(|uKtvoO6G~RJ0`LAD}-}flrk#zlAUXy6GZv71VjE?`PUauU{5fJ
z2`n{1_(b0wYK57X<q8DHLN+N;(8I*i(bTLdES1Pqq)sv}n7Lf!>kcA83XURb^-ptP
zUF21^VYTJSfEv~gC9=vYh#%y4^KJFf6pB)&JxjdN3~ti-%&6%+8X(KDL{N@)vi8YF
zzJy8G6pXg!UYg}?d!aprn<hAme4XurI96XruYS7xe)0~emImJP>NZ>QSVi@wcu^C@
z66}LG<1G6XF|mD@qh|~eYN%D(0Je)T{!0nQvvpQ;{R^$8;e>7|l8B(vOd2BnmO?a@
zF?@UwEX#7Mk71{Ml1soS6_;CGrwn6dF4tP{!<?7k&~Ws#2=LS!>zXwcWkA{;b5)-&
zy(;~^>-R&i?7QiogS(Xb-%^=Nl_cOJ!z`xsrTK1pf%OsVDQID?@A=fkDT}0;4v-D`
z{`%KwA^A=9bpJr_ufG5T=i`yyUsp)XyuY5oVb1&OmUcjX$u0^#v33)bNV->|YH^d5
zRU)(OGkvgx2o<GrC<aBlb8IR~<({Ob{bg4bMGB5kztsXsYA@MiGG0DW5e88txf?r`
zm)gs?O{nW-s<)9|ms+Kug#tG&Xaw}RW{`zYDdS6_N6At~T=0nLV;rm~Xk^?|3nx0=
zHpucMoo>NS<>@rS!xkSZ4X&;$*!O|COP*NX@32Kv1(WKykEmG4;lvpC^lv8x7co2#
zV-%_ldH930+tOhv?j&kNrF*3aZoHgMksyxWf*Mi8KMw=_6Id7z1JPAs7^n<*p2N+X
zcRm$P<beGgoOT|M(`V&u?_c9%4%aU$xacYkm$xH}vpMg^coxGc2kGnOZg7x0l?O#~
z045X~oHyg&Jcff~P2aQUc-MlW-+ziK`=`BGZ>w0+0XSA@OOYmtC&G3&s6n;q0nnn}
z=6I&o4WOt$s*3x^;vMo%!*990WAQfl?lgX6I_$-}>+M=M@*Ckid?2M2xvhFHo_N4%
zbiui~&=Vj2*>x<QTIMeev;*irh4Hm8a+)3Zv7Jv-g|Sb=&uQ_q8#Lh8&Zu3hE;_Z-
z_!Ooa2e^WjUc6_i-HuxA$kiSm*&Oc--CES@Hmm2bthxtxX7FnVoocP!Y(m!%hMeVh
z+=fecs`xpLDiIezh8abNh7*Q#V+TK7sM>JPxQ*VCE%CJHG$Q$PJl^e|^8r_p6LrJn
z?s(l@>@LH2GiRLui|?UD;5tpXGlj=Xxwxp_WATjNf-3MTyhG8(liHy)r5i0BeBHs&
zhwCfMhgCNS+CkNW&>S2c40uLR;lRsy7q2DPMj5A3dhx#0lhhFGi@>q*3?DavLH54F
ze30rKUxaH20Z|^Hr~zy0#XB2LYq{$zyMXaJ{NCcWdhx}93vtAHweEI+KVTa4e2=Lw
z*8xWSI=r6lF8SvmtQpTZ-KbqnZpB-CV5*(<ZnFd7Nx^u4Sh@k_JZ{i}13+QGU33Sq
z+X|8V$*oT4cI)lxxhAsIMeeyyJ9MjhPvVkVR6XN|enc#~OP)0f3&9UkLdQud5Z-}!
z2P`H85peKmDtNY2G^^sN&SCFVFW!q+FbO#N*am1rr&$5Xw+GHy^%GchH%b+7PHPz$
zvEeuUsCVb4Z~o1AJkxPIRX~e)#RjI?fp-?+v+q?DkGSGRQ72qDbm;8av-6#m$ZNOe
z+rjdox_jmjv<wgR;!CjyfdW0MkqaMG2ifbz+u;7eYkulAfZ3T~sg{}s?<CV)A*YGp
z%&u_WccUem#*3N_m|`k&7D0;Yk=Hx2E#3z_*{mw@RNz;`4syuj@kQYZypVFP>iNrF
z1O5a49c#3a^>>6#Cy1(V?}A*1fT)Y<H~(2}v}=w)?Y^1^TfZ6*p356xnNSG5Pj@>o
z#SAE=$d3U3Tn{`B+|#c4ttH?AsTlU4stCJ_X1j~r<{}&~8%8TIm*=_>jCN@aKBI8D
z>NXv}QFZF|z$MM_SiIG3o#}xgi??wV0Wt~f<+ti^<QXti<OItus2pI1-7pcbO9Yw{
zSfTDNg}p~Xi5YjXPL*!MXiMtH1d2tS?oZ-Pe$76FmgZl<pD>=n+xYGXHlhc|LhmX#
zeT1Ha&AHK=iYGWQiAo*^#|`7`>X?!nDITM572<I}gzp^o9z*AP`eO9f;*YG0WGZ~g
z6hjQKb}03MP3<XfiCwxCFm^fqaq$nsKcB}xU&23sG!B2hj(-*=;Lk1i=fn8tN&K^8
z68`MLKVAIu2>$sV{`mp^xgS1Z%ueDT{HQg<4`0()+~|9Fbg(3yy-6qV&?!Ci>L0xw
z$*{DW%D)+w2r?`qWLRs$upWhBGLvD#lLBTG6Ya)3b=e}u*je+z`XFZkv+z5pLS;M7
zf%+ZZ4)_vevAGCmTp3L-N!?Vfr;KJ(a#k9Dk1;-2!yrQQdue(s@nlmx4GO;2?xOnc
z#oNJ~X@JbY8o<a;-X`u}0FHid?_N+*@WB#LdLSSn*cO}+czPyW2|=OByIJ18MSXX0
z;my9=s8<?(7*)Uog>>vbn8u1zSp<u98lJS=8!Fuv*aiRtP8RHf%?48ysi59!hA?+a
z*P|%q)}ZMUi2m5kuzh?D^eA-U#+7q2hME9S_~5Pg9=qe%?WkMPXFD>c+&p@93Pt)l
zgd=&|3tV&Y79@y_6Yo)WR3ez@yj|TUZMWTT(NT<`o|jS4P1n)X3#-VbZ~p%SnTsLi

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.datetime_column_profile.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.datetime_column_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..e61b84627ba55cb35644d41c8581a84a2c557f16
GIT binary patch
literal 47589
zcmdsA39uYjb(QoteJx+IY|8;zb_-)P!qOKZA>eO=G4hJ=xA6itMvVK<^r-u3Hl}-|
zFJi}bC{l<t0ZQYl1mYBi3R~D>Aef~fA(c1<MFM3KwuC@PSh7G;DXIchgxq`I((k?L
z?&+ENpJL)F>-W5V%YFCWckX@nE&agELtp#Y2Kq1F5w`uHxw`09tIbx`3w!bAYOB(1
zc+IGHws+vc-hI7NJl}Cog{^L<;`QPUkfY)U^=ij!_Kx-91<W1=^>9&?p9{T86ttSE
zxIg31`g6y6C4WAiiGrx^X|Li7u5lwT3L2hsq*d=Wn$9hqRxN-$SOiK;-|np<DcKoc
z(<3UOnRDaWwhMGcJ^!3|zN|XpPsOu>{^fYO9yGn)a(Bgzx42Q%30Arh^c(v*6;wm)
z(_E$Qh9M-v^Gwri@TbkyZaew0;#N*{yc*`|#&eN-9AEYP9sVAFn}4A{<?oHlhwliz
zPI&mHm%i+om;cJ)cBjR{!&NtO;R(CgISdqrhdE`&i$$3uT!j3@o^plQQx<O)J0bM)
zqNAI-EB=OfCTLc@RgJBj<Nn3aD}NvG@e=s|Quu#A{C@y@2u$h()UQ%J-FAacFaEVg
ztJ<x5S2#L}gDL67&*B9S4Oz~gU5<Kg*T2j^q%rN`flRA;Zq)5~<&}=xtoR1skjKPX
z;&UqB+NYP0>(Kk=ai>)qwzI(UjllBxcpfy(J>GHKzQ*?W(2-U%a)V~*kP11qR>$Eq
zVRKTJ4wvO3*YVxMmP!=<2r%wyu5HWyMX1x6B1b-71xh&q{FT}Od|u=TBq1cTccwzm
zhQMurkobmcVD#J$;3BZ4#HA86hZOsPUi{qQw0qHPxtFT!TxKwSrvZ5@njT5O+yL+j
zZ^~f+@PbOO<%zF0n<yawEjggs&b`iZtLYtdT5Sa4aLJK5Z{`Wkb1B0C(!Ub4zk^zF
zo6T0_TG$=Wa-K<Dl|K_DoCSH+iz#6|zuKrTg>4rt$>w&)1AIK`^-wn%)KU|``QBe>
z4CoUr4m@DuHqJyaq-Y7G@$_e61EK~4s)B`~%b7B{KU*fHcq^#XArJu38gEC^NzU}!
z(`|+SD*x9}K=&mA^6w?Efj-YupY0AWNPXkOPO6TbY?Aw?JaRW9xt!L`*km@DZ%89^
z7m<mG-S8r>QxCv+Y6ALYtZt~Gqec!NpQ>iP)}3~(st~ao2X&eHp;0nT3FP|hj`<Ih
zOCQMQQoOO*b9Kp~)ZPc|csHr%dBg*3wB2o1qHf<n-?$_N1y5$Hf11~7yT8>>iB@;V
z8y%~vck5O8@0a)<Z%Kel@o8JzYgPfu%d6mNX{;6A&F**#3R(4kRj)tW9D+~l)vB!q
z*y>)qseKw;B1ni%w*i=DXe9I~OXPNrdr^<K1V;b#5_fibF?wdolN&s$5${ef@tT)W
zGG7KBJpqzQ;n5R%AN)@%9&Nl=N$6gy+yAW>vAX@aKCM9cWVH<>eMPpY7(I;!#cYzz
zY}~LRr&ZnE)R^smSL5_lYlWG7<_+nL_WvV;bDrr9e7vuhLieqF8eJ0F-U;k@JM{Zq
zvfuH=15Bq-(L{acL;)!v_1hRo>_9%xQv1Lzg+f4`rU#iLl|4JZfmBtH4fJawz0qZ?
z4cHwL<b_kgd)}`)efdm|+>}qSCM|u)>RRM~-x#TV?G02Wb|W#^8a27H$Y2#nX+wOD
z0@_yF>$p*?qd`}^@wrk(;K^h~J(m^n##SHDGKNL=3=kktH6PCgO`7=X#)by9G&U(C
z{K0&Jz>L-0ZapfWbn9KuBrZNT?6%vjPE-yXZYO$Ww}q4JGXQ+-ex2sRgL81kM_?2S
z4^lWNTA5=m&VgZy4+gLY#s=I8z#fQH^bBVwo*fn5{qOs;@#b2$UgswKEMk1s-;1Oi
z-3X+)IF3j`xT9EsnW7$Lk#n4q|9k~Qr(WPf7-Grcc4O(D43o10xvcm=CtSp`+yT3#
z6EuP-IO*LE_U#riMZV|d&fT(JIh1+!dmu<a@tWQ7oFE|4)FcV??tPYmB$gw-L)N{f
zH1n}DAJ5eT@Z;RNHnP}bNDKyzcE>MT%SMyFgE`#8K56yYgbj$Mkh8*l3NZPHxXCxP
z3`fDo`6&1k_>(tnk7vnGsf^%nXhxSk4$WwGS9&;Gp>l7vT@NZj)H_2NPPv^XJZhc}
zdj}RyychqhfwybRYwj8CjVEmih(nx)1B`I+OE)-oCu$Q<!BFev50?w%aIuCWDLnfG
zNI-%D`xp2j^gMS)#lDLfDHNF&94fKDM7fghJ6KP@4S5UcDSHBI)phT`FrnYO&eT2j
zRVYA8$G!$n{#o{QtikT9&=mF$n1>)X;s3^C8u#Hx3hy=BU<F69Vu+OK6~71D;P9P*
z^RrP@6uGYO$h8PQI$?K(20exsbr9yENj1G6xxDfk*v?Hr*B-Wje=-GaPYE#!IFZ9E
zRSH+#>QNl28HJ830;^8YjGV~#D9RUlk#ouqD!vn74zLWm(3CXBt|yVo#at?Thm{Ju
z5KCNibP7b8+SfxjHo=U$_25;W6GV>NtWqz9`k@zq!DeteBM9xQo()+l>Bk}7kIP2w
z$BfyJ`FKk$@aomF6@C$uOjsPE*P2P^Z*bj6l(fSoTW*mdoltt!dXnl28SZO`=?6Q)
zJO6zA!<{&sgDFZ@TGi8il)~$+E8qcoQF<S-C-d0*GI%eI{^AL??8BZqrQ2wk;(&AL
zkh6>l04P$eg^LEbC|sd3#6nul<65mEfFvD!VxGwozc5Q;gzK>FRf1Yj>AkiOqtT_Q
zah9#XAF_g*oKgbABm#V;16ATL3MJSO@08u~8g1VVgHZ3#EN6(6wft#z>H(_}(?PS)
zko^WH`qzo*?5w&)<2EzJeo^?yoQ|^Jgo@co_$QTT7zJXAVH*z&;@9qY#`&iQ&RRh=
zs=?sv?s#XP!YD4Kyc1ODbqq3)dsuk@&rm0hK_005Wt5e@0{%!pMo2u-`71>T#VJW2
zNJJJ$|HU({sEIM4<2WA<?6}rItYR=?1gPJN6Qq<MLlO&F&ulqL-Tw&n6Fk6v-N#pY
zGq&!t`*qs;q8OqNed%Uj{@Q9JTcJ@nLiayML}zE!b)P*1nF$Q6c|)4+e*yAl^Ne&~
zF|1Gb`}mci`ziS@9;7UaY4O0UpuBbqgGa`r1320@GIFbAcS3bQ#~lS~y^Uu@v(;V6
zul0F6>lFoRy_{#2PKm!)tXwWygSpUt1OM)L8MVbJfiE^h1btD$0*_KSYV!uH&c0x*
zsusEO>iZFt1E%_VkJ;Cf@5zMtT$3_U9feTds4`9SMtFdN|4?d3ICOBz1PF6Lmi*uM
zA2y;0GI|XwUaX|b#(z9Xi>HEBw1Rp<v1-eH5GSGgerf8r!<x00YI5!h)%&!Gu5R%q
z&tSD#;~87R3Xq6o#IQ>sjRy_cTVeXg9)W)h{<A-Xl%bb_AWnFey%S5OY7HO*Mhz!Z
ziWCI7R0yNH!rl$tltLBeJ_{ib5#I&bK`ycan1ZLsg@<t|YB8@6zz*Vyg+2BPpatB3
z6-Hx^mGLL7A8Wtonk~M23WL*rnM|~pe~k-sH+MV?ftL=93w5w+?YF9cbJvWAbDSP?
zGs;j%XYDyz6dmk%jn+x8Tn$2ZrS4VBwYqzJ$ysT&>M(4tbL*i8KHT%1Y5?(ebYx0?
zf{PH~L?+3BE`ORM{9d6{5{-w!##L1|{?J5Wqht)B<J;swik~u=+nkxna%RyYC2f80
zytHPdl+s_CGCQmIo{Gxp>uYa-LNIwOwAT4Zego-iouYx11w4FXIOy+JET2YI=6&y9
z;N&mOzJJuJ%hXrhBI(X`&Z;JFBtI;V_=WSy4-pToCUe=H!3}`$6B>l)tzCX8x5Mld
zRAaBt%f-uli2w}`=rqg_oJc(szf9(TC!dzsre*M2B_}a)4($E3(yf4v1njrdxUVf^
z%e=5$$r5N{uS24Zon##kcKkJs_{X$DP<!?WQ%?TUWX0UHsneEHXk-=DL!zLV9!^2y
zd20rO6Ko?Ana+%a<tzjSt*bwFzU9RW_!S<R5D>XIU7=v9E{?u_yKpPX(BW07h^(Eg
zWX2A0R$NwCY)Bmj^e5D^5j#tww}AUeH0YOL(fTCJ0vvY*0-J6na<~(un3$a*Vds^c
zolC>AlU<G_cqBfdjxE77SlR^c&$6rfl1l6vEiKmL(ISSUCn;KK3b;HBp)y2$6btQ@
z`UxYB-L4TJ{O*LYL7H86N@(Fcw@I-!bl;q)<y3LAWCM;%I00;w7tY-l8Kw*UR<~Yt
zRy@aBt<<|!uL|of6ra}By=2DZ(j5oEnDmz>iz<a#q(`2f2BpMmB8(Urtt&%nMx+{F
z8P0%Z_swYCoZy}`OX{~t`>IuGHX0+5B0AS4BD1sVz&%uC`c+VIHjl`YPz>se&h_yp
zBRZFo@A|b;FU8z=&8h@5WK*1&AlvG5?A^m&K0rb!Oc9sEv8qQIQmSMkE_XwLT18w=
zLX?~x<&rF?+0uw9=rF<`G|gtO2O3~Y6wN-(IX0_+4W#$1icg=0oXk^CHF#S4`Sh`R
z%Z15hr`3R|W@QcL)qI&=&91YyvdCzZwa3Z|NG_VxjWNr<%JM|aiYaV*5SF@|wE$+>
z$O&=c!#dZI1k|=sM|nRT2~uXF8cbw}z5?RZ;V&D0q&tfdwJ)hs@h2u~rfo79&eh?G
zjwD2}V87=<Tszrh;dd1?(x$)p;oO9g>^oSE6#<}q4S5<sA}(qBnWr&s#09U-YLi5q
zJzx&A3qQ^6f}cL6{4o?N;Pv}BSNaj<)#!Y3wpNQiCFIZYyi%RzPqPc>&*Um{dKb=t
zLPdiRm*h8)9)u7Lq)fZ<jXv<SfXr5Hqzh(PPD#cj@N%op?7^)25_!RhAtr&(;=D}h
zD!wtgss(*A4?3`0tWs8I()pcF1c*9?ktzG3SMu8~Fq>xQLGXdNEDx6SA9(2BZ;6fu
z26lKiEbE@D!YOR$x>q=`bAN81a|1j1T5bn+I3vVNAnm-#oAN0cA*{m*wD_q>QQEcy
zss`u9uud9$Cnee60P3x4Bx7%`|3JqragAxhZ8XIWz9>x8z);L#*eVA5<J6LogKnh5
z!WNtb1`i6($-14>xN)%MgkHU-!VE)~Q}%~_92IsCdn{LP^;j^UQ2hT8%tu78K`{Mc
zlhPW;O+G&ii)Gy8vsh@aaIlVo!B2^su)F#~DW&{fOtcdL*84!G?uNh>oL)TWT-`i<
zi~=i~rkx5RKhZ|mnF^aZ=^TyNxM{^rGzTu-SNmRJ7U*;SN1;@IT;!i2H6t#9uMDGY
zSxz%9qQ$Gz<I_L2s<W)QhQ&CE77>x35P8{IbuVV9h{(^N;%x4a3FfRZd$|!d_wyM6
zJgMPN^QhgkCcCnU*7_&dpUc@<u3NHU`O|ED|0u0L6$<6~?>cwcF34PTH`oElI|6q%
z9aJ+`d^CG_)hInI!rv(vvy!>=Y_@yLDDB<^h1P|$w~oYFHV4=y6<0ejL5k~-(m}yk
za60XctoX)&jf`+%O1`HR1WhHNxM&Hm&31c<mzENlgN2qo>{|oC2gkA4^!g3Tnr|*%
z%qOw1=QRoAkf{*qc!3N?AMpAZ^Oy--EQ6chL+;2VOyW~RGwLqq#zNZir(zk2{Gq}k
z&mP4xvi>Gg_0)Z^_{va)T%4OmzQ}>df0$Ii$EvOn!oHKp%g#D7#=RFR&gKqT5Y8IY
zf=odGPj-@?%|3o+ls*a(<a2k>3E(G2Y55Cl#@)W@GW*-23<llnL!my^%Rr%&e3y?t
z9+fQPF)9J%v8fu2RlhSp5PevcTczBF{Ph9|D3&|W#V)wq@i+&|f$OPrd`VrM_ffwU
zn+eRGG-skr_E<+Ih{Ha+vCx1Sfwn|_i9AZ}*v@>r)$Z0|@w%#}k%jWAF2sehgHAks
zm~N8&+7Bi2oDgJ(kRGyQjit9$Y>3eJLK|s{1ti5AhUuP^;<Z?)xD@SkrDP*5)C4fG
zvzde*D@^F9rlpU70cPed5?-#_lRms;a6YLI$k?IuAs<e};-w4}47GSE!#+yRDT|jh
zH_2JN#P@vh@{Q0jzIaJb>$7-yi##4Y=CKEH!t*rj2EG>8Y(%x4!B-I3>y@Hp=0aus
z;fY$rQ{AD}vU|*pI{I;q-Bx&16{MZX$*So*yuib>r<HG}rI_RYJ)l9lQ=2{RWK0>?
zOW&bNO*E^Mh0-~ll>nORx5=%KseTW?G@9^?J%-hguoIaX5vN(cI&Q@b9?xxEkH@CV
zDrq;tH}+PjbX{ZmSxO7`nhuOi>R6>H{@aB}Qlt2q$F)zo4{)|$sG2+z%_qmo-ztz(
z=_LC$HV;$#!is@R$15V<h9&sj6W>r>$R7LXTZuz1vd2(~QsYFOX!ni0nnQq4+WwpW
zfkwFr`!PPz{u_GAFkymV+}$wh(Y-s-=9JNYE5qGZL2KNjEfQnFoZU2@IkO1MG;17l
z{2T*uk!2wIY98HC?Aknvp;%C*;!jSLP445IwX<eNUj`mX?@L#MmF5Ne6hDSHAPFy-
zgVk6DWLpiwZE{1EjL9r4IYzQc&EZ^XvJ6TZ9SH)kd8l+<4ay)Tmxg816^;zdRw1HP
z1EcTQUpnH}D>QfKJDCaM;M$GQZM5rNC~lHzxDnhZ6ZvqX3@WgLaHverI8`XcVn>nU
zJ?zH9x+QGV!~+D$>$*f<Bds2*sE~+wtKW*jgd?vQhPyJpa5om(E5IXT-B|Nkc5yQ)
zu9_!Rk+72XN)Z^Ry#<YE4MQ_c@#|2cV8{piR&a`cCuJSHkZ*){ggA^e)ngLL>xb!{
z6v^wbP;rsW5SVi*^hbKcTa&D}6(&m$@C>v14A&o_<>~2hog>g{vOG`A2Y&!b1B6LJ
zf6L%}GOmN%8%pSjnMzqDV<N62hwxBw9f{LQm??3c4+6P(c|4z+r@6(LgS*9lhfm}d
z(^H09EIh(dUE-UnL9MoihrGwU%mS&&bbcr7VgcTlK>?jJ*Fda2`OL#2$)g3g1a;)+
zQXmj8PN+=#lmfq6#;xCtE3U`nj{D5h?GTSZX>hNW|1g2&KS4vYBS-n$#Q$BDom{ad
z=i2K(Pl=I8^d0gqTFcf&?a5yC?MCfVAFNbUG3Ms;6eDBv{S*``x^w;f{07o@Qi}#s
z_7&qBU6Hk&>*Ibq1xHW6ogTARliQbB)Mp2Abo-vOM}AD|ik-0DPvW*{P2UjC1($8P
zWvmnTI{yrC1+*x+KjI>B=5xtOg}**^S2wLm_gj>=BC*T)Oi%B~3#re=Zisk!ego+$
zE*eNtaeR}Z;tM8Y1V{RncC*Z9v7%#DZOK&I2w717l7@<@QnQb(*}EEFlTU0qTSWu?
zEa4%0b2y&OZ((?L@J2>u1-}p-x0KlX<ld1_XdWx9v6!pv8OjLZjG`BGd@7gF+;bfH
z0|IC;F6bC|j^hjYl#FnWgA-`+Q`3=tY#W>x&v7LF75iUwwa^b`o8ZKOTw4@(ZV<{9
zQ|uq+c3zJa798ipDE7ZW<9TyO!6$hkM_Tt2#<A}JOV%|)X<v{=uCxeC3V~3t==;JA
z9vIxa;d-x$U*v#`p}{Nn;Okcv2<feO(J9YsIt_RApaZuZ9HhPYu<;V2d?76_oocBs
zsNp8e<Z9)$t5CroJAVsk+8%Z;{wZ`TsR;bB?~#fUM|O(Bz>)s&+2D|kik3<9E%#h0
zDk)U6e;5*FsOG6yXs;v|)G_7Mg%&-#miEQM<~#hVB5s1EyI%`RPuxcVAGZ`8S)<w%
z8{##p5aj)wVVFq~o@YUcywMDLAtOA<^nwwdeFbV25gw^!N}RZ^m|Qfn-)&=%rW4?R
zYjvY`H^SR{aa3(tf?XAD_~aT+qNQ*O=U41!cO%pGu)FZjC}U+B3d>#$;*VIkm0$y%
zRyH94MQ!0WXXjBH=;iULSK<@Jr|2moJ|#xWILo#-ciRvF@zyX(HRe@>oSw`$)!;?i
zd##|4=wP*0hL1|Z{r5|-KfYOY!^KLg<1O;E#oOo=zl?C4fROO-lbtWKvOhf1BY!GY
zCBS@LuAb({dVWilov^!}Bx5LumqdG>T0~GB8j^Wv@k07dhV!Z^2{l@ZDWOLcm(v!O
zGlDJ;L!qKUmk;DOkUn1!4Wvv0@QsdqTF~W5nd;BE(C@G2lrXvU7gnodPgZkUE;eQR
zGZKMCNBWG4Gt-1@-S5^X3%{3EZOX&~Ckx2{WxtF3>7Oi&84}8vWsF&?DcK*awPeSn
zu9)=ywV0UXye3Uji9WCgp|*9M*Vq>g3WSt18?HU%$G=*LW8lo@$#;->C-2xiCZ@I}
z<YiGxz|PxB9@Q@VGmJ+ysYZ#|yhHRhb-J|HXVv!)!&)_K!a{omungXF@Jwa#oKmJ4
z;3v{yYYX{A+@mp%4QggmOrW$Br8DH(Tv@nR`ug^ED3z>l%fo}ufmE=kX&=$RSGr!>
z%L3-Hx*W42`jeBx?B9#6hAmU0*#w++iG%9P)RFA0dWdJ3tpe;es5qOCv`;`WvF{XI
z9}hE5!KLH_@k@14?1689t3;f~T8v77HD#{=pT`d1l0J{6thrUn>+|+e)-{WD#8$Vm
zg^J{g^JHhRQ1MZl7def^%RTJjVJIO6znNH(Pq8@ig%l5(2#fm(IfL_MAp!*wUx(TX
zB5j{yV9HjI8jzcJKOw&76Ya<Gi6+|glrhmBb0f&DV0vk5^thX%)h#u!EBd;zb}qo|
zmy<NcO#1?Brkzv?lU@BP|INl50PrM1!39~1Z-O**7&mn@e<J+%s%-p`iP{UDFo&kX
z+L;yo6!x6hQev$S{!sNgbz-X7A31-)14aq2*blG*Y&aRQ?8}h0uAXkD<_KSRawSN9
z<5z`HQr&a&>-3s{&_IY_qO1TgE=4|CFfr>>C;S@LUE3tgor_NdbM&-6Ft^M<PB<1W
zC08E-#ErS(jXrGXui4j|cy$)EO{-LZHU7hdw1dF;Q6a6Q%1+omF3uDS&bGkSMB+kP
zKB+)Ye#ySM=L*$lVRZZBQBzQn1%pSdQl{b1!#KKcowH4c+9(!fK#FNvvT<Nv3f*M+
zvi!cJhXV770P_0Tn0A+9J-=-Yt+M#ocQuFbP>11VVv6j!fo{Z-(ZQCGY|DsU0%_}N
z#O!5gQhI5?ChKc!V!V>^x>TsZ$i_=n0LCjtE`^QPn}H7QqrU~8$avAy`WUY}_(`5}
zh#yfN^C-UVrr$W0Ib77J8pBh6vgN58wOST!tNjvS+DJ3)+lPg^$T^&ey!kHs2UXel
zv59io4Hj8uZVK)S&9QHPuKJv9->?Rg%b&AKnOq*lzF`~1Fc~S<rw4hMoJf>?21&Ls
z`HvuNT`@UN(IqrbvZ@h6zfUN`$OtVf0EAAFQelMtG0?#g`X~5A2u)AxgV49acM4oY
z)3t=>F{3Dwq%pABo(m^cTEM*7c!N<Cm0*I!x!Xsda_mrLCu|O`ctM!sYf%)nm#CCF
z;dqMbaV8-1y_6=CpKcW!8<BY<#UL4JE(*zsMA<&1*@EOPkhZRnoT=Xuk0&cyr|B7i
z@iw6cBZIN50Khm!K83;fPN0K>@m=^tU`$Wz1I9N;K?C;4uA!rRWIRWi=otfs&$C=)
zQJ;muGf6UliTGs#Lq{mYC=PK`m5m>rD2G_E#d3u?q~VfkI`lrMx;qr~p0SGkT%i|f
zE(*PgIN1Y8vjx2Yq^&FTrt7rC-O1E20^Jir14ag2Spk4<iew6d?ni+R4!V!w6M-&0
ztq<tl5&0btzH}D4wO^zdg+|pF0Bld)j9M)i-fF+Z7=@l@Lh=`dx{LzJpI2okEJmTT
zqt7Q+->psu=5MM_X9F`;Ve<KVR<ZGcnHnkP6C=$<fjJQ>`$weN0_MMhv~>mMJYARY
zJXv81Q`-onKP$9hWRR8>07$1usW3?IUXUPt0X`8()6+VEG+hD(pM>l-qqX#p#|$KE
zRIMRM8@1XXZNEg2*3(Szcm@b()P>T6s_cY;w9XD2qz43&uTp)^#AvF)<nr}asj(rN
z+9-z5NO4hwP9(~nha_7Fy&uwkt_ZCQYBCX8?}50R^ng%?kr7%}00^BTrNRi^1v<DJ
zeG;Dtq3J0Xp|e+sK|o?Bjqh?u@$a=Xh-hOE!Iy608Ttrr+I>;@n$z`aMHfBUbotw)
zYnc#L@~@09fS87dbK^s>$*bFF9uk++LSvV}-2t$io@B8;<I;2e{gCCrG5Rdu7JrXF
zCAxADq_-*WfM+}#wz{2)*Ygjes&0%ID%}noYL3bxeL3DHQ|j;)_ug{6IrO3kj?sp_
z_?&91(v1Q*%?w|{YertP+KXpj;?}!f*gM-3C){@|$MeVeq3Ko!%Fkm*!w4=zgdbaZ
zGi9jz1pM40es()`__aN1Rmv-F<pjQk=4ODd&govftJZ2o%~s@TFOP1Fw})OOYIYmt
zRXifvgOmmQ!c`mWYoh^0L#T2OPx0y=rIhij3uO{2kPIz~0(CbGDPbG`4t=@qo%HIx
zqnqL_zFUvv&zblfZ#4j3MQ+p$lhm22x6(Zh^(~xoJ9y+6a=>h?0V(rQ$E|qSsorbj
zg`f#1TFY>TyoF!qfkn1%R6F#XLty~V7n(22UZ>OQlzljmSob=>XCxI)zQ#NFxmc~1
z8LFih@3r1oRj@}vQ{x3*Z$g7CeWCfnDje^`K7_z1m}j=@(5GI!z3w)TcirP2aJ&k?
zH+juod~U~s)05S5)oX)(Kr?Wz68Ip$9|Rl;s&K`YR|{6b*@ze1ZqzC#N%5utlxlmm
z+i1g~OrdzdSW19}Nw3p%>sa9qN&)URLll3K)DFFFwN+kipi1rZR@<%6E9)gmODa+M
zWDo`sspt;)HhAc+)UhM@g={D|CkKRoFy02831JA}#hy)gw_Ri_*8;fTvj-z}H$Fil
za4rJ#fNZd~Du{e*$33Nff{LDlqY5;qc^nk69yEfe_reX|`q50h(DvG8V2ik70Gio`
zDJw2ekHaH&{3vRNONS4iI(2HXeLC`6&Ba#d_~EK|@-XBK5BK8pu>_F<CCZTp_m9HZ
z>%q-;Ui;9c&-hi~>_Vqjv6{h@q?rq4Gf@k#EeO1*M$Pz9qYh2XNA3!YqH5&#j&6?k
zf=)KdYIrL0%V8Te<V?IXJPpV2SId5I+^@s`puf}g7OMWXu;F&1@+-SAu0vqdx%8X=
zEZ18VSFm<(#fNWJRY353yaAVqg;4rLw+&4!04PO41pMbXa0axeRSB9k&;bbyyAUeE
z?uwajr`K5VAY>AqhPHgqi=ejiD{!OYiL%#lgL>JmRy!Uc!)xOyuX(Zudtu|v93o&$
zf_eqbY5)o!mHD@MNg2+8hCp2+KuS=Bs#gnp_W_6*skp0#lA*Sm`Z0^cqDtv=n8=@5
zj27k${1e9Wn2hJ(F%!L54*h-i^-A;}Y|WMad^{^Y6s#b526j+`2cB#%y^<UxV{gDr
z5H?z%v1lNF1Z}~`ULXF2jx)n2*KsZheTGA4u#4@OUt^a{0jEm%Pl*4l;y?K5T>88&
zUARvlP@tQV8Q!K$H<Hk$Ep&#DPGr&^XW9qNaHAN*&14L>CotT?z;IQJ;mR4qAT7f{
zF2kq*!^i<c?~|d2+KspC<AQ{`y%K=sK&=2l^Av<XnU8Cap2G71z`!_atiZN>BkOrq
zqRKsQWSf_*QvJJ(`oWTQA~c=n+jWUI8{#bh&NO31E3_4yl{)A<^Z^X?+!36~Li$<I
z#@F<21$coE%mHA5a))3SutCtrh46F;U?fu$S3&A!askBBb%9r}I`tro955enc`_Jm
zFl&zMtbnyS0dJb#6;8JaxDI4^Rd|Fk2-aR5S{$beb3*i#9eLAEee|F&g<tx+7)s>2
zUo*<Fn8r~IEPUzJw=Unfd_CeK`dde*m5WAKIN)&Hi*zKnPJl-(?rj0JcjH~k21*8#
hoVTiELaMDnvr_L?!Su9_qs7`%MKdid8XrN6{|Cv5@8AFc

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..fcb79636e8fb2fbee0c235af68554865a0e76b62
GIT binary patch
literal 5178
zcmc&&TaO$^72fsk%<k-c?bt8&nn@xPn|No8!vh2fkj#CRNdhE+K-8+~u9;JI->9nI
zokau%L?SOLAw-%yBVO_Ze<7g!gGhOalm~tU?|fB#nG4&FACR)rN>is#)j9Q@d%e~A
zOaF-__h)uhN+O>0SP;ZXz*TP6gT&7w9_#$w{MK*tH}jjOBiV^cGU@Z&EP=x(5eAaS
z`5U>}vFuues#oq`Q{2}giR<muqBgC)k>8|_X=$NDKJ&?RUXsa3gj}lJGJ$9HCwyXs
z&whG4cbed+OQxMN$ksXSn~qm2ODm>b>Nqf~p@?}t$cD^pFs-E+W*T?1cUcjEvU;!i
zAyW!O{BFf8Dt@g8Svp+|ng2lYk>$zEnr37BDW_e!N?UY|R_MTdum6gI?)?{Dd;RX$
zp6jPFxv%;G(+t1dwffLd^$X4BKJ+RM)sqUhxqfsZ8`5S0`4qFgieT1WNP;Yco(`ug
z)AbabyU^@Tq1k}0+xycOaA|rHz&?%t8~A?)|F>`<de&X!uwbX#P@oM3Ixue%rAZbC
zGiE9*NJ~H=@wMc$CM>@-38Jg!$}Aw$d&3B@qZAJMfw_J@SC4p@TK9M-XJ$*pewYQ^
zLTk-JFEg_qu}Q#FP5IF(%*s;deQ<(tm<;nX(<TuFaMm-kUGA<4>v0whx#U59v}87%
zZ>l5?Pr<tZpPy=H(Yi+m4yAQ~{H;Z3&29<I;fZ7^^v&5K+TXyw8MI*?`etR^62osV
zteY{V0lkQj8kpM+s12Foo}YwS6nnL&0mFg$a>EXvX+BP*@L9O9(QRvT-gz0=8Kp%y
zTUmD-WLdHovLQ#{pC_!>ypL-UE#Ay2_-w<TQJ64&o{$?28^*98)u6evzu3S^Lg@tj
zk>_%t<Gt0uE8=stc)Ef8K0MJ2xR0zX-MNos<nfg8u;D~FJD)SJ(oEa98ki>R5((+&
zVb=sm>1y6ELy0IAf2Kj7$}PRbg>0colTm8sDbQbPI9H>7oTu}14g6WGw9I^+AraJ0
zS;}+h+<BahPU>_QrytvrCrQ&WP3TwjYx)hnMZcrp(>wH#{y>KQNPnU~Q%>)3dgW-9
zULDYDXY|uE`q>%1ezZhCKcin1dAiCx+sGh%G4l|6oJ`X(ZO!DEPpf)WV(JQE4kA}z
z8r%m7ZJ~simQdJ|KeXBLuPBDcpIHn?oLQK?p=7a7b1B8v&Y}_Md!C4e_Pkzt`n)Zl
zs1fnFn~b{W+rie(<tn)%t1dyYIN+22tzS*~bhZ%PG^;5SGB?)?IKJK}^?hm&bk6MU
z|51tmoKbKEyn_abxg<7&fcef#=w{fMcSnir0_$TDSX6BeKoS$a>asY%2ObF5zbVJa
zx?^$7V~2s_x>q$H|EJTYt;>f%@L!MLx_t0C16|oW8}exYtrZ@lrlDeHNHdMs2DX<S
zWYu`h9Mh>IVdkJY;=)lYGd&!d$mXW6ZjtG>_1a~#<7d(~(_Y;=Z&j3{g*NN3x`v}*
zGT5(M{gF&!&Cwy6_Ny$+(27;F0__e=XUt<RnNB1sO9wH_;bc*Y#bzPK!`Tn8+$fis
z46)iq2j$t8+kS<(mTkXIb8~T&BsxwsvPS*!XxVJrIRholo4}!?9F!fKC{kqp$c`@x
zM_w%`=rSC|I}w_^s_}=!azi-@49u3~X(F{3@?#$6M;FWnv9MmY%s!tWFWHdERK?UX
zt$+`+F~sehFc||Ya7fM~P&!&NpIg22hh|5_X{J3_s=<W;C)1<DuO2Fa-`D0pdR)px
zdW4univ*mls=m(6Zj$NwQ(Eqn+#D=?SvcbU%JR~Z*(uJQ>QL>zHveH^v)QwEPymVm
zQHVR`W;<l@I73DO;sMqd&|{lR5*>>S(72@V4~Vhd{lK*SBp%_KKtu#+t<b<va%!6$
zmg&TslFS7Gr`is(DD`T`1F(*O28zp=h4#Q*M*+IAvgV(XQpK|%@g|XVsXabP6ZFBe
zJDr#K+B+6X6fU~!1wyf5XfIM~xmE=P-8Nge3=(9FJc+3mUQ@Dp)evH?*k2HWNzn4Z
z!uB*2Mze`2qF%y9_ia?cbK)@^F%*%|`45-={hyZENqOo477Qb??;zW<6xYSu@GxD{
zI#tj2`zI$SsEeACxR=OrKj6oGaH@W8F54YW73}adk6<Vb!>ogTc;n7jfb5PO`3qt!
zWh&-cB}OL+W_rQ($cZ5xg%HuvY=|fd?69?N4&alKSBGb<zNb>_A!lY!oyM9?JQ8CH
z@elu94HN77TPk7*v|nb3YXzV#xplGh!UQu2$QaEJd_pnvVfZ56fU<)SyB}mJMA-KS
zH@KB~08<_)A|Am9s>E>7rV5n}=lS+HX1@TjdJ0*@(HfnZ%RYvM2Of`@2tB-sNbcSU
z9-0*%AKM27vtFbK#3bAcZH9ouYp>|7oW}bQ1b5NsQ(Xg(=Yuzq#OA2Q69dRNZB#GX
zHZ1Tu0s5LH7Qb)Or}PPZOdn;YW2yQy1vGZ5|8zhf4>Eev{{95@<Rgri@6+Ehvps7P
zciy%yY@LTfkWo-<<W+oy;<J>34+ek<qhS)(R(7mUED&q%&fJNeN~+s*aqfI1QK@a#
zzPxx=`2_<x@`8_t2pB&%o0v00K#e<~Hmuz%>F)xGxAPytv(fY*((#U?kdg|4b$Xa3
z<Aq~KohpP!MV%I}@}-LYxiE)cG55X?*rlyZ-NM%0rykiYKh+hgi=x%7gCgib(dree
zO;_&|^6{gJwXM(}fRBF$pJ|olYT2w>=Rl18VDQ}+ZOtg&?C9_1gV@nB&b;pz=b6nK
e9_P%P<>LsVZ)_uP!_J<l;s87!*ajmT_Wld`N%6b@

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.float_column_profile.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.float_column_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..a29f11de562bd457ca0df74da8ebb3e6278493ee
GIT binary patch
literal 83126
zcmeHw36x}2m0)F6E|pm;MNtSzVgLeJV^tO^f+i?R*@a~lB^D|zPzI3^KQrQ0WJD1E
zM=eN?xEJkL+a?@(MzLMm1^0Gz+Jimfah$e$97o5kU5=hs25nkfNBX!-w>oq0efy91
zx5!8&`V8lg_2d1w-0j_a-@Wg>f5+IH)~y*?ga3tF{8qKrI5AhMR2t2S=Xb;Pm1eoK
z>@|Y!UEQ58>;6G^Hk@pij{D6{yX<wtHBh5mt<@`SuhBiy4L4);pjP+iMEeQfD+je^
zLp86CRmZCnN4m4s$#5*F1$EDO6>i^GZ<d0>-e$eC+$dbvZZ6iK0@jD>qtEwFARIBZ
zUezV|V1U!Z@m2{S3cA(P!pWjSp}H;{7myzcN9(nQ*FDr(D1}p{AZXVXIssse7_O^T
ze8gs=Trc@P6vFdZqqNMQ)>k?${bQk2KHBycu}&wP2ue%%s$1Psovv=Io>N^{oe6K=
z^8(*%`+Kgv;l?LE^+|hL?I!d0R7yb!o)EwG9)Qr_!y&U?%*h)5+#(XDSSG?0Me$tQ
z2Ncgeu(q>MT@#Mg8Wrz^K}}BR>SF<=>UluH3*i3?;s1-_|DA{)P^euaq-Mj>R;kwR
zhEG~<RyuX>ih>DW3K-q+iM-YBJdLX3hk|aYQ+<4Ow?V7BQ)#v6m4Z&&D=xH4jdIl@
z7m}6;>hE!qt95c7DGf+BmI}?qTsQ)mM}W+e;UtJwX{lXmRSi;y`?%l=01Bl>seaP0
z`Gv)1y8wKt9jjG3rFsGQS2$h^V3HL8j7}LbsT6oC0BVkl`i_Bhr{~08Ao4T0Kpv`|
zi((%u7|4^WKyDw^ypS>jJelK)Notl@yljCV_krM`T*9k~bwcIL(v%05<q?jZ-SF}p
zqCaO0*mX_=&LNo7qo9P#hMY;=xdt>XyeaxM&^IVVMxF2qqyJe{NAoCbh1&~<nhkGP
zq1i%(?9Ugd+H?7@!qe#OP7=Ub7<mizUura(K`ElZ!*Na|DXj9R7PfKVPCc8jg_9?i
z>+^oAgyv*@tL=fRJmz&#1{w6SD0JvMAEkQ1<|WQ6pxs7JJ20YX3#8$!j)lAONQoqG
zzD70^UK-DY*>D3$&u*YNK^bmBpoy{c+cQl?^|tCukRyMfIa0lyv<P53N!UhF-Cziz
z#KbDI0exc<pz9G(4&{0rEFQo&xB%Qn0HWGn_5!b6uYuJxm@<dmWuGEyhVU7vx;4Ap
z8tqawA}ZswEfNw27^74`uFj5-|FB8);dl~-BaLp!WEe8*gFuUWNglTo0dUY(rvWyn
zXF`w6OBTVCJ?f{EMs4+u`YAE$j&P(9>FQpytLlfO)()q%c2acO*z&+?HkOJfz_~I=
zD}0(A;W}s(>HnK%|MBJx99VC$(p)ap8r^Vh>m)crP!ODKfdU$%3DBh~L8-mu1zkQ8
znEjLU+{@{PkIylUQK_Ar=iMGcw)`y+=qtb$2Z6p~B2c|w5oqLg#h%+EIRBH`B!ctj
zdqe`66E`-1^bI+pqVg!340}j628)G+QB4oipmg<z2AS727nn_CK9EV}>OaO%&a(~t
zeLYwT!H?84;F9X>JwT3k0^aYHc!%dC8Al<UT5u;sZOI+=+nPdbXEMQ@2(SyG5rAe0
zLF^o5mnRS4lmj_HuNcxBlflMR-Dvs@9PM7Au`AiMxHcJ7gGuHzHHD}8kTpB)!BPc?
z?I*fMW=bLpVkiX6SreY7G;6cvwM#*>ZRo0S<Y`he;K`;#J&_LKNV7+?GKNj2Q}_l@
zO@`yO1}$z)>p~M*S{KKxepxa=V7C@aoqA9_R;qVA8@TXvztd_p+d<J^F13SOJ55|j
z-wDc&z0`y`^Mp*V_;#4N!Zj3*h|%Uq375LCj0cO?1?vLN1LzxwLv$^tCLHfepI0BM
zj)&_PJM}s@*mt2)uT*CcjsqhAR|)41NeA}>%gsh$22kWWWw!bZrFXu5bqV4O^961w
z=5L8HFbxRBv}@&3T?PVtaL)a?L%jHU{BdpVM6Gel&4rs}SB4*U%aL7aBP;+MvU9bX
zo<r#P0_nPTZMhcIj(N`qdwHE$ZpRKMH0F+QLg1%ofi41>{$ND-v?U6kE%8_>N%&Np
z3@7R}Z~{wpW1_N8;P@D1+7Vv0!f`Z)U___cUq&#q6%T}6$iLxk2sjG6xuamoDbAz&
z_&oYg@K4gpJsc<3rkvMBG3+$^9E@R@YUvSefS$b*t$M9o3%Ykwh2y1m10D^}h`k#d
zYlo+Lm!+#$Ok3_h&4fd;8bozKvJKh*Jk~XZo3wO<>tK#{lVyLqlznp!lN_^80->e$
zU=P9%A-?fTEcQdJMG;9?0BDx|74nY!;dDWK0P1EEMD`Wz)s(NFVL`9Q9V=h#o6vv+
zi+u~8s&}z(V-FUhLN3^MumWjegY2O6OtRz8WU{|Nl08Nh^rs^oe4ARU_;zrRV`+3r
z2W`Y*2E_RF&{v;~-vLbr!1%#ZDp7K*3Cq5Z!lmZ3a(lz9vvf{#+Y(;eF}!4e%-YpI
zv*riGEDO;jT8|vjLL0&l#|$+*yhtVkJBEO@IsM;<%;J8S_OdP^J&Hki%r41T{W5w?
z6qPS1{|W-8=vZ-|VMmz1p<*g~5i)d|-H^!FXzT{V@55x|oaDaZut)LSM&K7plIlR}
zpz2X{-S>jR@oKGHEkL5AR9K|cA7_rD{EGU}OsH}uEaqhb^RUIa2i5@xojC5^-vD>G
zRIlCUNet0Epm4#0Fo5hD<bo=NTHt&2MTJ$)RvM3E9FL%1JjQH1Cc~-4npdwBBQa4C
z|A7oGy*6BB{sxn`qGdFUIdz?kv-)!Om_-T|vP`efg9i&a@^|7te7S`Y5(UXZvvRTr
zQh2>#0oH0>;KmU#nMCZ1uqs&YZLXEad5CFY_Ik=5?kw!yT{wgVkVcg9O!#8%WV2Xe
z6d^|0Y%CeQiomX1hZFH^lKgpQl7#3o`7N(pTdbA4r+WM((2DHCoMi8Zf5-=2TbR{)
zmRNwVOy@u^y@U{~3AajgyyaH41X)cJp>a+S$!q!3M(S@OgV?K}i1K5f<3N9wfR3+f
zdX?O7b@-4J*0n=M?DNnuyC42IX@&t>rU*8&GmTz5!m+~l@3_nGG2L|C5pL}f7)2$=
zI{}5sn=}hJ&EA_rGn9#ULmlY+om7>*2mX-@3BhqK^OuPLXJM8sr^pqO@QY_kaN`6p
zwKty#>?20kp^A+P*;l_64Tx-O*V*D2&;EE0N~!-XVF)X)Ua7}dCS{{i&;Htk-HtH|
z1nfc^i!(E0feaDyz8xARy4L0@>bn3RDS*hD+$Ha4LC5jbB6(M&>XG*zO2x>#qux1*
zGNLFJCf5T|jrN^B5B`N%A1^#T^B}QH_I4DPY4+9(y}pH4MI+T&NbdDDyy`16^!jpM
zRk|S68L>lPE;4m9?e(eN6h0f}q%a$^=%l$Ei2|C5?t<Dc1v?+E?6Z?OE~@4(Amw5y
z{BE)Fo2`1XAlynSiAN<xU$m|4k5r9OJ_3*H@gGX)NZE7}r|E3<E!BIhNSw?YL6(`_
zs@jI{9fG|Hf<m-G;i#feZ{`)0<$TnXy;7knq)x4Ug~4!TV;RJ|EEO9+8BIf;km;d}
zZ*sH|rZuTEgqZxDXbzh7;9?}$VzaF5oyoYk6Ku&q0C>G*bfsHAo;-Gjj2YXG0W-87
zGNs*{ZS9TR+O&+<WO7o#ZXIJ%uvZ}15pkQim^919(pj8>T}QIWo|*q6Gtz0pYrt6@
zI_0S$_BNmhdprEG<~Ms65-L}AAF@GrvG-uJUVVfVgv8KL=?4l~Hw5)N3+!G%O{xnq
z+v98u+SK<#b&vzu0mNjK9B4-H>>Nd!CzU0M=H|o(4fZpD1)RqPM#`K$j6Z1;knww>
z(d2tyG3Qt<l4B><>nk;s*HmhYi?ciXH<hsEsM@To#7-gv_BO#>cJdC>P7*dv@YmaN
z5Al4SjgF=hU~DAheqO15Q>9i8j>xTqh22jtV1ZZ`8+MsvB<wQ%uxJ04(InH6Y?n8v
zw!<;+I4wv~zC%v5aPg60k>HHp{<3c{<BEPir105f^()nXq|}yyixeMS*{Z60$Hw{4
z2n?%X)8jYIT$((9+op>F99u&0jkTiG*!RCT7^g_Dm(X{AHie%Pfq2CZTHkPGbL#dH
zb0bhD$$@Qg%qWv|8ejt$JD0jO_JEz+lpCa-daXyeRU{)hvay^@ZZ{$|4qPUIeo68G
zZh;m9I0PEs#0d0en=pbRy@I-4){Df@-WcgR!qW^ctsT(|^+4G~>2*D1g;YGZM<Yg#
zo)(FJmJF<$tYUy(l8ll?v?t<6lSjx;4n9b~qyU{GNMYpUh!p=d8PFtBMCM|mw8sb|
zc%w%RZ!~Fl-FFfJWyhhL=&n(@y)Jn|01S7SFz|(xpqFd)_S0lY!YCx^d+9iU5qcUj
z(yQCj>%w+ArX43XgFstn8QLBkGHF<We=cN%dNwiNI%X@B70>!SV!jauPYSLIs<9~q
z(oGCaMm7!vdW2Sz<R6Naq+krK(bfyWa<0+Lt%VougS8RQQNcpOgX11$NJ`?lG-F|)
zQ{7psD;35r<0QK@GkXymOmGiH+)ViAMDr&I6oKZifPk!YZ~3}-mYs5xz0N2L%|xis
z8D^0pDJk3idFUx~qx-PYjFc0Qcy^Bg00-3Ac6zntmy0Y952;d;M{bb_nuWz)DWW|S
z-1ytMo`_>FP>qz@*uFS3wq_<{53~}y!Z7+EvYj_VX-u{gUs+B~M0MGDA8YrDz``oC
zaquIZ$16AlR%Crz1Z;d&GdP+n%h`dB<7q`<QbnkqtWOV}VzNGtdKY978b!D;Q+3eD
z(UG(^j-G4g>IHV(q)--_AhI<$Z8BzS_EOdKxju1Nm`ouz>bF9jX8DJpJ5wOz1p&bo
zJ0RYVjk3@3Y0S?W${wOJ$`D9jFR_jSIZUhuT)ICGI$#7~gEY}I8EwHOM0>zo+Q7L~
zFf&C~nL?eo^_@KENp5`$8)fHKZolf`%s`pCgq?zB88gUm3>o8iDca;G&|#8`CFkXj
z((B22iKNTL@kFh_L>5(=ahYXIZX`n5(%({?grmN8LvR3)q~ko|Ysa(MFCcDB@7XW$
z>B4dN^DFiAf8c5GvFrV94^QO`BzpbyezUwBhS>OZ_`YFCo=PNWO_Y$6e!8J$=LGfJ
z-g5JpSFF_h(n8&<6c_8IrTM}_6K;ZdT47(Q?t9>B#YD>CI0tf2Drx!CR!UcaEXA9U
z<Y@U7s_hUmLdVO`PbV^`p$>ItZ8B?|e%$UFMl#3!(q`2Q6}fW+wGTt1tU>Kc@&N7#
zjTpcYcELBMXc@E^MG5A(M|^15aK&HRxZf7(E8gUrW-4Jn03Re<l<OGLFfyb&2$f6?
zSW#sSLfxH+aAFWD6$UE^HAY%Q%AxpW6aU_1So#P<aS&|_7#Ctc<f6VKWQAcUt&!NZ
z2sEl(wgC*QTx|<ygxqR}<T>K2f1QZD33OJ;qd~Gs-e<GnE(1?4^fi&$lcBfO3p{P>
zHD7cQ3v6N#%%CvHQv^MMF^=s4&rpoof0(S7I%uJC{kUnG4mw^@Xu(<G25z9QpM>XD
z0ge|J7Te9`0_~R<OG&kFet<oy`N4jI=uER83#_D97*Q66xN=8!hFy*=_-V6;6iE`B
z$^8+Mf{L!a&Lm&!CpeSqCcuRxXL1yu$eE<47-v#|i#OEtyKC?UIH3U!46p~>nevJp
zOJaXPZI0O2uX|}j6zgV+jcW<6+m)v5+r82@$z5=~qp?^6*9}n@mnq4u4y1c$t9oPI
zM#7Jy2geP0KE*Cn0!S;%8Q`I5Y2(F6#`kf*)mf@l_|akTqiwpv)paP1dSl4u=zC7L
zXt7PXU5W-SpDNk?)%0VJ$8HE7?N-v(m?XvvzH6^?6y=!nTj&3cLU4_!hK<72i73SE
zb$B{7N?LA9Il&zFJk>RF+-JuNv%pD%KhEn)DV9HN6mIMXg%@(LGG(``$pg4OTQPvc
zv&A>&d^0@T4aNi)#K`7n{M$&M@pE_;{EXW;Egh)h8w*u~-tk*r-xO&TLB>t*WFTO!
zI|%8xi{w4YV;iP8j*u(c^2*WBZWl$E-K&LU3Cpos_-rE1iK~TF7_8MoYRdZS$&mE1
zR^R|e=xK1VS5>9g#kGP<ee0HNJ0P-p&hpvu4uf=>htw#OlfOeqfz!!1^UHhSz$YAd
z)y_S+@62z)6`J5F!Bvx`_DQ%<6LN^w8Q9$Il)+*D7h#)bzeyBSb6qDq_F?A7KWl!h
ze(rhOdfQ|~l)o``jjYrbY&0VrsRQ7fIC9VI9X;vj+2kXLSEIiK+pj^CZi3^qa3$cb
z!ZRBuk5GQv5HP$|R|_FObxn6wiLDK@c8WUHC)=Hw1ZG;~m%ydog!E463yh!ZAR@l9
zjB~_7+6ieRH-w%f&?K_6?&?T)$&3>z=&K04_^PIn&6R?F7IYj>9ZErS(%4wS7Cf<H
z>e-BUQ$P3#@+VSuoXeIRSpHNxhZbq|enzk5pf0-sDrZc}u?E!bgSu<+{u{oq!bcm!
zSN4Np7W%G(IV*>yXM5Z?^)v1tL!+b>kSVvhD0_Eblx5d}Zj*u=-8%Wfeh?Id1)n~8
z3LW2AY9nTUhNIp^8I`7DP?)s^nB?eq+8c}8rEyUT6Vbqk6YCdH)ns$=Jib^h%sxv;
zX~<NFa@_ZZQ3kLh^1cocWNa7cDqq+dhv7#}B$C>Q^^j{|!EO0dk&Lv(w<0`>SFrK3
zSZ-<hI-%~gAo$7>g+x6!igb|^k^iuv{%NGUc&L#x!h-ymz>BZi_e}g5bR16|vLKu^
zwgp)S@i~bkJ=-`=Oxh%i2i(9>uppVbX}4@Xrk|0|fJTGSb3Myqb~f~#iNGLxJzA(o
z^kTG-qux{dpO1={;R-qdT@{5YT~~c2Ma+A2RbrR&R)Io>Ud0Y5bg`q`P9p0ZCT<nj
zNL2^6PwmCI1Xt`+y9pbmtO$(Vs25x(?i1ygaj6xhkC~xPy%cyAl?lpJS4&E!>L3%%
zJZRGXwK}v&nw%&Tf_q4g0dvpVt0t_GRi;QlCh2u~(3AVu{tz2w=c2VimOzTAOwc4&
z9UH`VWCpQcqhgPqqWs=UJWDhXBnEFzuP4O->6uFmlC_A~)F$HtGJTocNNj48K_124
z-aI6CoD=epxMbmZ$gcrnJP%1vF?mRlit9HA`5d{uxbMqLpaZ;`?IfJZj=PX{5nRNc
zk1d(;J^{oE@{OlEyMuL^nMRzHuqtoHD6!|wPk{KQ8yGLLGTMp>#D7q&!uJnD0#VUD
zk~y4EFZjw<{kDnp8-;HET%jfv`!#k$5a^7r6`C36S>njzdc)MpSft0*lbbyVu&iE?
z+bN}B(&%1`A(I#iYyVJ4Kx$a~Jh?L*_Rb68l6U<@uBgmVQ%NDa7-ax1@y{#@NNhYT
zHH^eQUtkHu?u}Uw%r%|QLrdw@T#k)q#EgmwR%_Q3oF~*P2{)gR6Yy;4G@~zw<7adN
zF3r%ZZ~`R3b2$NWN+@#lIsrWD3t#8rmeaMjy$MiqH=u=2v>l0_R>uuE2sg`?Yd&O`
z`oEe*q63b=GyC0tq`+8#D{zMG3JAP-+{xHeWSD;8=^G_V!;qhUC$J#DGw>?aD*WJZ
zI0K4Q5qAIxqh4``z$mdv^(PAH{4Rke7`q$0iMRx3Vh|CNR=dRQnEVTT>U{lK+)HrP
zuwi_6B8+AL!1V20&>4=y9nk6OISw&0EnSD9lP_`}UM~2M>O9DOs(6by+$~%y`vp)`
zcnl9dM$^FidP|J}j?^x}mmA^LV!<oHE!bY&!!PaP$0xBWsw5Tf7+{Y|w%BJ7pK12#
z%;F`Tk>O<Df7a~lbw@HB-&RLBh5A*$6-7z;ek~6<r9bjzY&0X(NUA>)Zof_{IJ&8x
z%b1LKyI(3G;~G!1ALN0YJe~)jMMjSYG0f=ke37cAJBU`KOEASMQ#cc2MmJ=&iXi8b
zF(cS0J7bJxU~kyVm9al7Gf-x{D^D8UaeDJUAh6!1KxvdS0FD$+634ft*OP%RBwa3!
zYwP657Ru9`au(<Eai!)~ob2^+*~I`Zet|aL$Hf}l$GsMx$j7Cp)$wr;qXj79(c~h0
zTCUa{h^Ko^zn*Rcm=*ZD)26@M({2ADuti`>ey?{ywF>{^FnGN^1dI5-TY4&R54fk?
zR*oG-hWvi8CLs&3n}{F0aS_9*;>d(FQk&;3r#KQSdqpBNaUQP=4y{wz5$JUFJl;g9
zmVWP$N*H;+MZuF)?{|K0sa~dh9r>|bcY%}ZmzG;~@OSw)UzSS&_`E?CzWss{OII)`
zcXuUSD7j{TiV#n;dol}?^lyimP5(i&X*IpvkLDq&bf!Lxjb?<BNcVELDbZ09BGrfM
zm12D8dJBT^U-H0A-p;3?MT%D>y&c3Yqqp+`sycB0_Ir8IlPvizHp<SDG1BFn3%w4m
zc&iveZuc)TgVnc(E5<c*xp%{;5f}GiC`w@_G5x3M^(51gdbyac%~67jE2nTS7gwrh
z#Y~5bJGwE=#l;%j#r-$<L@q8pt&WR(5OOKx;r8#_s%;_=#(f6r36ZU7&&daWj)XSh
zgBEiVj1_pb+fA=l_ebumKH|9EdIMV_bb&o<_5%6io!R7LjaR9*;RlAnrPVZvc#hUt
zr3rD`HsUHCR>-;>*Em;ElZZVJJHUbU++_1mwtB9jTU4ZvIBYB<=kQ9w1*dbElsJ<|
z;$;V*z8nleWjV`(9&w)x;8!el01mFdj^PvOFM3)X{dKtJ!-YPux|v<UCjux+T-Jx-
z`_^I-m=$QT$C+A8_BVTC9>R=mx~E88`(o}>nGh&Q?@ax+b=n(*kVw0hZI8-pRjcr0
zj{<F`z7Z<z3I9}R&o|iTB=vfZxv$r6_|jY#*z|g<!rZ0Wl5K#d8oLL(A<e3fwvTg`
za)#;i>t?Ze^U=r&$y#`_f&5q^kTHkXKLU;5M3iw7IsT&l&m<4vK8Y*_a2$umH>P1V
zPJXWgA&+xy>79-FHzGa7i?iw2CfsO5V`RHl=Bq@&$cXME%A6G1xJ4aLnKQ(T0zTmC
z);R7b>*DEKmxM)b>QTzVb?}>B+7unxWb-D1p8-flisrc^>NnYNmpApe(APv}uZG?p
zArC^S6X`(=tC}QF;uH`L=cm(?Fb^J|Ep})<zuoZ)wZ*~-{ERReV--e9s-h&1&7#yz
zvx_ndp9~WXHJvXI=z<#7S2i{F!TG53FPVGFCFk?d++wFeXSfS(ew}RrsXaxto-lVw
zmRd<2NuzQbcKH1}-hu;v|BidohK8Crc*dH^)wDHZmvcFIa$Y%LmtqV4k!Vd-$CkGY
zIcD=daFNk8i<Hn(WMzLINM*ohA2ym1PC<GM?yM7qS?>GoMjsH*&B00j!1Kj-o$O=P
z34X$hGXraeaSG5%hjHX_xErA~=0G*RvdnuVN)<UMrYyem8-{+Qvv_+1DnTBGYY}kq
zRZY{CCy&cI&~ZF%_>JB)w(G1`4_#u;YB}m{j__RxVHkY_S~S{To5ZN!!L=yd)15*u
zB(1!so2n*uDbGLcrK;&MR<(&Ec~i%SpgU8n;@OMf%6q!8QTC~}4UCvHVFgf#jix%O
z>3XHv;Cc(JxIYif6#4v1B3d$T@-l9!I#5<vTQ}0Tb9^TcdXgpI!baIylKYm^hcg3Z
zssVNinq@rqFD_S2Q3OAM4zt9%f0SNNPCg`^86<PeXM6G`3y0XUEDffN2_!cX=a!_8
zs5ogw?<iQrNt$qO2}#Z)MHg<Cks^9pok-Dj;HASQID?E6^?fHd2W16OqVpqBB1CLJ
zF`}mfGqNdKxfaE9O!KPMqvDRAJTW4mT~CB)TyluVhvZMC@yYwUR^gmKI;82v4q`W}
z79A=l0vQt>Dng^I(V<(D2XIG+!~l-y5WX?Rum9-KYa%_xTUFB%3?@4C3L;=+M0a$E
zlOkU0%2|fdp_^RY8bKLZ7o$Ti30q-w=p%!sXrAcM2eRQVqeCwAHIdnqp|{nG4q5j&
z3sr*NHhzry(Qr>}e)UL^q00sTQzJv?xFSQKXT2q_tztvTm6WPwe~Y6|v#*K4rJoX+
zT*fTm>zbja^p_Q-jo47rhz&g-w{7*rhUgx8GdSd~W`vNk1czP{2@bhC)ngmcA$L_Z
zKGw_}9r^*6ga4IR4%h?Of=7omT_1ty(6919D%VFp$3`>4DHw2ch}{A%w^-Npq>(ml
zfp-x0O`l)p%IAv!Zf|&K68ee>58*3wm}p`mS9s{WNN0&UL57FUCE((#n%+RJ@X!U&
zaXf7(JfsNIbCpjIU1GvRj(X7`kW!tl@KCh9wuz4AB*i4gQ|M)chfsJku23JQssjrT
z-JDAjM0n^$*eLs4+s?y7!j44(MDCZG74G+7*Ov1@P7Gn$8G;xNm?1fXM6b<*o>YRT
zuu*o#<PH+OEi+K2GGLcMv;KobwyGp`@D}JWOOWW_r`MA~A|zcdjwdPrdFDsjO=%pG
z8;Ky1bQcvT9YG=@X+n?)-}4~RSMZ6p6VcP^1c?qD?X-iY55CnPZnx=sACZJ2HbOKU
z+X^)r6y8Yq_=mM2PdB5zoBE0u<G8)>VvG`{YAH7Jk033kn-OpB<(e6zSP!XILrGv`
zm#alX+~ukYY&!i~VVpmPrK!dK1-l_8Yi@0$tpIT9sL|s4e=oaKrkl6xvq#2D8?vdb
zE90PsNh>S%0KmC=%YL^M%Z2|?Y%5h_BEGBi10f&ICBLyY-62-|vORuBs^h7(e%x!t
za&{52dzw8iGuOo`pFK#TNAZdCMB@~bDtEj}+`v95`PH&QNeu4)C!R^Y0tV$4>Pmbf
z3q?;c7D@mNwy^KdKwY!!l?HR|%9Z`@*GCBAt<z9^Se~PhW|_8{nHJupf2;Ju%+hUI
zrNgRKIBbN~7HL$`4y+OXp(a0BY)@gC-x6sGu?luGSWDz5LKb(x!3C4nF6<z5x_XwV
zS8Amd8YT%MrT$z&{WJ@-O;{k5vxxO^y;8!*-hcy4v)5(jva~#hum%78;2$a=;~h<C
zCM}P|2`rD2S1lV^Ezh69pxpAj3!ljH&{Le{;Q+71^6X#sDzyRGp1!l^9EMoy!_`MM
zVYOkUXJl{vYxPeF=F7!#ya<?D{XW%dIKKQW=|s9!>vdSWqeMv0Uj9_mi*)-J6t4Mo
zyQUNS@7PU5x0~l-cZ3sSVWBsb()iy_96wHjyGGWtlzkjJT|Eu%l2NI{hvJj%QZBfH
z{0qSWrxrIil^1>wuIqxU2|T*GfOjJA{X}O~Eh*9~Dj8(I#L=hO&ohgGQ1L@HGs#{)
ztSP;k*AGmc1|-dtE<(E}0`3#oXhzKA^yJnQ-ohs3i0{NPixhuDvlRF|od-4wsXqo<
zq^%mozDvX*V}Ny(s;1{Sa)#8Ong=~e`pd9UcG8<_HL`&l{CDwIF@Tipq0C^JLG?Tt
zHaV`DWcw+IyG}q-RQ)+b_INAIC-*eFCcU1Fsw4GsF<sjUM_Nrr)#X%`jze-I5mlF(
zR58;LRlga)O}<GBYjEH3<@iLtBR$3Vj>4(x_tN+q_$)4#7W`txJ66Nnv<4HwIM{y#
z1N{~oq80d*1v^gQ>brjr^Uc7cY|7U3Fz;5a!cRO3&h1h-Sf1GxS3}IDQ!V0eZg)wN
z^gi7$Z8h~iMV0)%sHP~p7rTl0qAQGee<BgGI4{)&lU5|`kD=4m^HS5LUiz%VEP>=#
zbp>})J=klm@dDws6hPlK>m6`rwbFxwTjbwX_;=3G#euzCL362HT6Q|R1M5%C1NK$K
zWtx3Cv%pDzc&NEJ1}J|~aj`lXZdj-{%SVg1cAA0Ly{o(PW!*o3uYZhzH-pZmI+XeQ
z*N?1ObA4waXqU=CVF7Lj_9{zojT(KYPP?c)=mfj(>J?hMXs*I}y%r>ugW56pOmCx7
zXn0Ft0O1FG@GgKarM8<LD80>VH>dV5LruQ+363{igJH4iddj}(tqdJOhl_A_3E{G;
z!nJQT_(Cg|*JzN6?tSX|4t$Y?7gG({5q^oUx2LK7u$8mjYT_56=(Sj;Iiy|D$k!uO
z;KP3ir_kE}pS%%94T`*azW+U+??1>p-`U?`i*pZ5z|4679@Cac-{a%RNd_(|?*Lp>
z$9~K7g;B<{fory9b&rg-=x-3#8DYoM*P>^|%D8ks5^5+;gb9^^#;4^$gch!wp+y>3
z#KIL3&bWs8=M20S$Hz3UxjUs@57)v+tYM@rRrK#&!(_?40`4O7icdWAichPvhPh_B
zS@8z4FR1^lD?qS<HHw`TqQ3fHle_>ZoqtX8Jk@GQa+yS>$Qoo6B|%Pm{zJ`h3WZb@
zmigBhnnJ9M-9*+Hqjhi=<=F6<EBa}V-cB4nZXMwoS5Ibk5ISAGbwsaZ%5}qV<SV(9
z&^qCepnmE)VfVfoczuvelPdz{x1o65<R5Xa26DDilEGe&a80u?vv5eCf9N=Hr{=(F
zM!?^mhmtZ3`&Mi;BW8BG*KsB-FF+h-{hg*bNCgo4UhzGQtpdXE(L5-Szwu#ck<s5k
zR5SV;Z>Fm0{$S2P`IqvbCpq*5Y?Pft8&CnyQfzA{ab-4oq6PQ6IJESGnStv&T+W9z
zqvfxLK_k)f??Dlr)ft(MWKHpnY2h7+ITHcDj<k!9#G9D0e}ZONch`$?Go!XM1vPEx
z99}C4{&$H?@u=X+LO9weLAeA!adeq1kXkKQvOpRmCD6T&Hm7^y7Dwa^ceI~$x^%SZ
zX>}a!7d2Y^qZ>h!{vG6%4Sj!oBLdS3yzpIS%sbNUENq*dFFdnxlCJuMe}ziXyQ<aA
zo?-{Q`mHoRd7uY@QRdu@7hE%A@NCs8{N$q`W03ina)gRK*EwwIslc<zJ>@nLZ&KvQ
z@5XCVvKz4*a^v;&pX()~xh2;ZfZ8w2D?ryl6KVJ9*#`F3L||hsdRT@=Suc8cY4QN>
ziyp)Pj*A}fjVYn#MGsQ&9TsODzOylZQ>3SOSvT!X(nSwAMz(7}-$(?EjOf1Tfs-O$
z*UO2B7d_Nm-5N*SWnH}J!6j+-MGr(X(igp{d<Q*0^*f~Jec2F~w>-FT*A!-Zp|{mr
zv|1mWiE0?RejRc>N=w?`69SRCq`ho!vvCYQ?Op)Q-8u;gk#?=LfM1+}49G$W@*1s^
zK@~s52%pr_Z`GErew!<Gz#c?MAyzE_mcCMCei{==E^_}hu<7qKoBCS!n)h4^@4_rn
zR3-=GS9wS**H%BrMl-@7rmudV0v4|@%Vmi~2J%`YM)(6fq}@E_hSF88dgY^qi{Rf<
zV~NM+X6>6XQ_Sb4?Y23J7a4QW@f|=&uczegn3K>~-1P^MVWJk!zW!iJ<1Q_~S!8qM
z{7BdF7~opvb8Bg)JeEL>uWDM%JX^Kc<DlbsO7Y7OXlxtfQ9M>Japga3EU)MXOTmzc
z^|MEwRFWl!H%e?64)z1Xe!?~zrP<|BIpbQG9fG=<C=G##-fJf!sNm*4xCr>JLd3^H
z3R>RUj_^#FopAAU@8na&imw7XI@+T)+i^?qaeyIX><JZ3#wGZ}R5d;JG{rAqMwKH4
zWJ(-4!6Jn;X~$Pb$Q93aoQq<2>?^R*4Eq@>$#Z+OW4JYHK{*&|n*#fH*q$$Jdh06q
zc(rNvCwV}G5QqW{w^4MVaYj}kR+(5~4S-xhc>|Z@6lf}YYsM^lolyoVO866sF_VW?
ziNc%s^07QfOTPR$Hd4?5GVC66_>FKO2x={g0Y-W9S!~OBV%Jk}F{(1n{wfb>CO^i3
zAD@B78To<O<l_epp!tzFPi3%5x+2m6OKv2x!qUxD9)crSMT#-uz6gBJLsdV)C&~%a
z)9Qq(4){mC;|<UM9p4urp@@x24aao`8V!n;B%I)~PTK2c{b#e+pTYHw6xeu$EtlSS
zU&N?tHIxL_r?}QzGz2F=7brzV3iM2casH5)rWV_Q-9$3mE8IPMVIpL4S#K9iT3NB*
zf)ZK10D@bJW#nKe?u*cJ!_Rq*2rf871$s+mC@+MN?fFVhMFQepD`8~M#DS*SRhhXi
zR{CrWw&1{Csep~2?&zNh`y_D#`=sPo%L;m};tOes$&?qupxi>;fKOzh=qbiR34p;C
z_I+Q(em|(d2IPV4UF!SPE{7rBLJh^CMu|k4eX>q(%0~TLr(1=f=Ce-As?~6uW0Z6v
z;%eJ8F3Y(aEq^LiKz8X4g=>Dhr0K+7iroy>F1<bxvN*fsf=TNdwgjE7o?UWDue3_T
zHBBje%>)P1Y|?hIoagcuu}JQhN(kBeaFA*C-pt&V_Nay}xIKCoJih5qpS6bm<E!6H
zhDjm_hDiyq7M84r>3$fU8>Ua=6B#CYiZe_c@)a4TP799jc`HfqFME(tsKBR(`!-A*
zhFHVI^-0oo626(x7Z_C*i$0vF@cel=<k6^<eE7m~+neKMbJx==%JKJke39Y|vsFV&
zN;HI)6hD=Kl9v1?%3AE9?d0!SeoeI<4r?OmLE2m=-XE8RGdzl;lk(XcnF;$zH5Bh}
zM`)DTjQQV+xGwV*lf3^iG|HO1|84RB?&Q4~z>&PiH>MyN$@{Zn<(*R@5`>4fW<m>_
zO51nXqsA*oGi{NO=ua3qTl#-1K-3d=bEp3~F>ST%vi_L<|9j$WJbE$)f$4ueFWC=~
zD=6=F`v3Bk=$L4N3i#D`e>OLtHfV144Occ^Kh?!+Bb6+eBDW^E_@cSbz688_ggiK*
z355qIq=Y=9FN<mH^o-0~S<Zd|8ESDhu-;j26yynRsoRpOD8{ogGJTqrGV@-zNke9H
zh`KKpNCI_NKOcWA4@G5W!^cK5QX)W;S(y!R8PJ(f38wIg%AgfyW3@cx<tvK??&^?q
zL^AP)6%?rvqeO`cIV`WujFp)Iy%}2dX60W4r7>A~d}W!lh>@~0#R*nJ;FD0p#_w&B
zf#X#^%mbOTzlRWsuWA~<Tsix9K*#ZPq@2AXVoxTyhlVkkWJf(<zZ4fm9`u!DAt;P!
zE3HZ6vc<1Vp%M~QY}m$WkSQfL&0177Jtvv*<m$JfJ5%uDnTp_wJn=WMQTADTI@kXd
z^R5P|w4LuX51g-o8$ZqiHf^7Oi0GD#p5O+eH(+k$JU23RW*=Ocz((1*vcXt1#yQ4T
z9mN$=jE~I>qNxqo$APvP_mza!=qYMp8o=rCgALz^Tk&c3nDlybQX)Nbi9w=Dkcnw&
zlVv0|xseF`OE*ce*O8be$|fYH@jZ{O90tUAbcLQ`qAMco(C>vy2WanQqdb@c%YA>y
zKtd54T^WwNsYZjM30V`<x>^6B|2jxZHVYvag_xMGs#ZfuU>(+i;}Eci801)5EL~tL
z#Fr?HT@jSz(3YkayA8V;Yy#lUM95qr0GopvCatX40(821%SS6QtvG;69KT>V6p3jC
zwTP{If(y>2uCd11s`m78xl<|W-WN&$*}JgwY4*;{oaXirZhyuWJox`M1z@t5By5tz
z2W*m(SuGz~WB&KSpxi2b5}zpMPfsycNdUZ(nE$gIrR5b^rBV>IYYT9t7KHr!zDEN=
zh&4&+0e|bZ0^S!Xc&)ZZRVl>F_zxv5<iCAYa9jEzHqVpQ)t6M;;kZMC(;}i&r~IG|
z--bEVY>3_ZK&Z9z(QU^MC{zVkA`5e9v<^Co?7sa`q?JuvQ{$S>aYCG!#>f^WM2IQM
zFp`SP{c=}pIC8r*Z}4Ob%G$>y+JAT8J{brAua}IY#0h)s?a5;s{(T%B*><=(ja~+&
z_L3KLLq1L(TH0F8<eusA=t;r8kL*Wr(=FNOp=|Z+Wv@bzwsI&g&kz%of|g$pbH{Bb
zABz{{od-cd*z9C-0??Jaq+|zRm>i5S4AZ1i<z3J0i~V99n4+se_PAx*i%(>k=qbiB
zt#G~cT)(v3s(VGhcH4lA)80O_E^`JXE3i>#8u10Y%ZRDkV2y_X-yNY<X6uBT6Lmte
z;re~mHvI6T;CMN0*iX8U)}l<reyxLD|D?2MordeELN(rSVGlNO{Ya~o8!j9po3cfS
zO_dp);-<3IjART!jwsvfp=|Y(ZLDNVojZiGMXL7&g8O}|UfBVtUI$w;tKPQ*99;Fj
z1D{Cs($ngw-h;4(r-aI~|NW`TlE9*%?^u-tV+BgrS~u(dA{uwS^#;_3F0j?XCxt-t
zvq<<0)pj`6>zXDJMLSxlm6J5>e^ZFYYFgffP1`R=nypyX@<FocT7)^PuGNfWe}gbb
zbnQo>Z1r@lTcD+)9g0AZAy}kkKPDL8x0aP1fR=SIB(s)XbC%SyBltvGmY!Be%kGC;
z$KfJ|zCUYhs@SLX>)H|wE6}f}nNF?fETUY;bTMdF@ynk2X9K<CL+Z&c><-m7ymuH}
zSV4`PI(4VQGM7$$LZsOvs#6i>tU6V5k<B8^5uJJ(l&zjlbqKLks6!=Eq)ks3Ebm*J
z$__xAI#`ien-&2M?z7&4Poz!hX?3*ebAxKzD^-eqY4LX*E-)Zjfo8Q9RaTb~{kkFg
z62k>%nXPM23i;^Ah3%-e!x1hpsX!{Fs;})EU1&D>^#tyC!6}7nyvC(2Z1Vn5q}j?f
zE)9~+i$$2TYFy1r_8NpaqH$YLwt5;jR=B0!9g2v7EncL3+k*XlYhT#`XkQ0gGHc&Y
z0UTWW-j7eDed%eHv@d)gvRsA89ehP(Fdl8+!CC{7L1|yB%c%B^zC`V7mf7mz8$v$%
z(Y{|*ZHGhqnpB8t-;`kO4;8Ah%9nbuiTl$?s}<{B8Y7$PMToPiUd>4M0|YsudcO!|
zkC5s$Su|9t*92T_*Z7};`+cik*#W3t2U{|$-kGzd>OB{qNcGZFqUzO|Q5?w3z5!oE
zCa+rJi{$F<5s@L-*mvO$q;RZUFZsSJe}}KRNqD@1i=LuzRX0lQq=A~PUKwtu^vv!u
zd_Qfuv0I!rfsq8f;yrvy$~=wIEmbcDe0Cn`qI^wNr>pA(61#wJYm>I9hU0#-)5eWv
zyRhv@xVhYEx4lMC6y=A)jk2U(gIx=U;F1(C2x^TbzZ;%bX_h-dt?tjk7q8&!SdB_I
z9DgBRkml<zi)}d+PA+*3uU!h7ZD>CUaTNIY17sfI#|A!35&Av~Kc~dcPP-1jHU-Uc
zaiLT`if>`KF@UQLchqiMY&L@ie7?+hd0-^m<a^}+?hY)TfKP!fccEl6?2@Rpz+^5j
zLsK8RoaQB7-J_BsejThx>;#ZuM9~2GO9dO-UaQ#-igoXpSMMHJ8%|YAb@g*BJk2{%
z16l>8pySI*W8qlETj(r7f18h&+6|x;)PR-KGL%f>_tZQ@s(UKjTx+yCLD6fJn-!=9
zIjc^vxce!){Te)<W4|nV?RK+Wgqt2Kb*~L{Mo=L}9ByfL0=t(n>ZKdbMBYTYU^jw{
zhMRf68V1?=9Q#G2F<#78KI#LZU`^Pn15Vv=Qys3M?39)~pg4RgCS2<^y5Z?<4-NrW
z-~*^FkPjFJjt2uB#>>sdBA^Krsa1-twzpV20lq}IxzvFR&~;I`wgy7AsRCE4!r5XW
zctBVxfIOeqZj|cS;T9?Z>Nb32zb<O|UZ>J5o>)ea+UlLaPt6t0mLw(Rpm?kXU#lY#
z-BPU7e7wUI5D`#L$O%#16>bD%;CqG*`kpIvx=B<kF4o}M*Y1&SxC5VH5I7Em-+ToQ
zV{a8;`G$7sxcUhqdK%6uketR62x7gqTnoC-S@XT0kA<6CUaJUX@nANVxh!G{UWZr2
z=@AyHLD2H&_v|@-{P-NdVs@_CUfKh9p6r2|{+@1l2DTtjphYq8AlVOduL~c^^;)|x
zyyQ}#?B@1jIWi2E=wZ&0!vwIF^XF<_ut>vHgXKC5F&UH=U=~$^YWKkUa0X;@xu~Y6
z0>9|DP(tnuxB4d=LFq)XT3f2t;eXs4Q*WZ^Z}gYpyMX+&ggy}JboxzSDTJBTESCgn
zXW+6^{3M~*=JO4xOeBQXM>{PTVlybEpcVlAxgNL^q^DV~H5Nezq+-~Hs=|kl8(Q_Y
zddmwQgg1hdFjm!rjXQUSXO!#B($S)~T&mTJrAnm@*Pa14PKE2d#<4DJw+YvC6#;V+
z#0x%dQv-nyihSn}3BzeH5Qs|vni52z;w}2{#l>)&Rf?NYs2F-%R6oXXT2!cf0t@*w
zyA*B96X1^@PGT`$`-he2#Ua0X9_&}4_h4nNgfBjhi)~0fAA3|ATdpKu$h3&zSj~qo
z@^nw3X}kx<f-SIjKT2c2aPvJb3;|oZJF$ACy2$Fdo#s~jGd>D`HsGHpkHeoU@Xz)M
z_;VKid2kZ``~&{EV+#Jf3jZA00Dl(n&-_OCa~1x1HU4=m{(16d_%n}x9@qkZ9>PBd
z@q65d@z2Nc&wcm@zd_6JJGJx`DTZH~qN};->T<eci*8b*TTK|=d_t#V>0~o)bf)d>
zw1tb|HZO+z3mEP}V3_@4m?2{rvt=09Wf)6f7;j+c+A?&1JK-jCCXyI!D%ZePp&Wu}
z@e)+HvL2ULvxL_Jl?F3+d7)WXlbfn;j})rflU9$Da#U)x&FUX)XFEV+eMYn|@n%gp
z1?GU3y=eC~fbUa>83s6jOE9q)m%~tg7s&ssx`#ob!RJLmMZ$FQ!4mNSl~u5cH>hHo
cyBlhaa=lXlW!zjs9X?e-!zFY)m#n$}2Yg7a)c^nh

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.graph_profiler.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.graph_profiler.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..9872a64f274a64806639597a1a64342a139abd5e
GIT binary patch
literal 36831
zcmdU23y>vOS>Bo5dG5^YBbyD$WRnizaTj-H5Kv%9A`p@Q8<#DTK#Fy_^xWHbx_j@v
zed+GIyMqZNAd*y0iPm1RBG0Hu00Bin1q4b<N`=xYQGvpu0824GkcW?=6!8E5^XPN>
zb^G4kjgwSu=63ga{O9}s^S{pNKKD%h@?XDs2mQzPL_OE*o?W$@&2G?iq5+$22918l
z>BfU|gTwa@?jF?GTxg$(f_~U=25bkEXt-Xx89Lp;$pKr!;<49`Rz>}p$Z5o0&{fsl
zDR<hPIXS4gb8IU1;<lqbVoSG#cF(nrhe6A0JK+FJLcv|PJ7<xC%=0%6h$d+C5;onl
zfr@zG?qhRxMYg+>O$%y|v0ZJi>kN+dH*7X<$8qRw^kWz$j%ugZjBo@qjkX;{a1(w{
zb?pxSHQVg>l8X(yaVm6LSf<ZrVtW%G4ctBMvb*43>F#t7v6rpg5jkPB_R}wa#nYbs
z^tE0X_|aO^j&1lwLt6t1qcu*M@nBV!h*mcdjJmvD4I>!bRYxcL8}1G^<#n6RSq(c5
zt9vyJ#=QnmyB7XE5&k_H{vF1F0XCsW!>O@dJ=+ThY^4)4`)%hrmQGnA0Rwh~mtUz?
z+?_ra5A44CWA2KE%mYJ_X*qV>51sl(Xm=Z~0S*F5@I`AWaC%$oh$sxPyJ-cjiX#Fz
zCjiblHV49EQ<EB`?B*L$7%aQnv|9Zx336n`fz`0vjegsX9eN~avfyve31h$*382P^
zj8!hi2QOH2iPYZ+z&?+Q+%fkm6zoC)KtB8wNanV~U&;pXVU?>GsUr%<VhZzg1Uv^l
z!fv<)C(LmnB36y2vgLKF3B%z5dwM0oUNyQI<cc}x2F%l4phg>-OiAsx19T-ksYf1Y
z4-|K;412NBLk+1~w?Hq`ZR;+J{=NY29<hQRs@G^;>CBh#8`kyKv7qZ5CfTb2A$zDh
zyW0(7JEf7?G)GFxsk}_&Y#Nx<t|n(}?rf*M9`$Ur53{|{0X=xy8KC(2&`L`v$OpHP
z8b~t~ClVmGz!3vmi0WP1KX-~fshXHbII9*n;eK5)+%>iv#AXGsCCb<$5=tzjYe(1n
z?rYqiMeOfRuy^kwRRJTMqY<Wuw`fS897XD`N$f9`5j%^-a!O~h!(t-eoJZt-A`<m;
z$BCV=?SUE8nDLzRm>p_z@VTh^(A&SFxP4Wf7=Tl`p2l())|L?R3lq5y6(h$cx&vG1
zCGznD0MUC%JP!~q*l7=KQ$I7SC)Q=h@XPG=GiAN@vb}yv^m>p@SgEGot2gC-P-<{?
zAWvT@#1?u^w+U*yeij@l4Q}DZ9AvYydaAoG>)jPwJMdDSRx{|>UU$GIdt2cDz>RpT
z2TEy*rpkbd#CEvp#Gt5Dci;+at#dzTz@AuXrlX$QTIa1ELneI@;Q9hEDF?1E==8gv
zR&Y(+rI>YBYRKQytE7hfxr~4ytBU#tlD;H+R7lS$Yhw26PfhIDQPQ>UTxw{$-%Ox(
zA2C4IdeTvL|E&N&$8-Qbo*Ao{45@M&VN(0O2SE9C82!U?^z7;(hEqstBF{6Tf@G7r
zHfEMzD+eui4E__K5>Tf}L*dl*f3m!TT!D}sWaW{b=uFmT@E++&373M8JS#w%awa0T
zmJ_UTOP{nQVwCA`s4)32B!E+Mr<4~3Pyv^AuzgDNqQh^;L8xgkHgUZa5%^_7ajFyw
zHW6erukT@%<sl3Ns^-|V*QM}QvyHpZ1(ekA3zMLG$_WCy*0THUxPIDh_Z^csc1hIl
z^@1?2M;$wiU)>Kdl)fL-pZ{8&=E{?Ec)^EY77PDT_%K?XlQxFD5Xgf?9I$!xIf4xz
zvJV5pA7axZ>UQ@Lcbd(%`t3H^cJ~}A_@;XZDL6U-6xld^NG`a;*a*6@o-mQoOwE0+
z(mn^DZ$pk@-Qq@L{Z*XOR}rgfU^ZsN^F)4<TObX;m10|>)!ClBCP6x8+8#Jhc3YEF
z|M##N%&;6}(*i3~JU)@?$DBZrMj-3W?JJnT6>b6zyip$hfXl;2;ZIqF%BIO?H>#Um
z&FuJ}h1L_xqm2A+Xwx~{YkLhZ9^6j_&e&lWerk5!e>YZ6jJSKwuv-!wZrTsAZ5_Ly
zOp<`~H?-N2$_C*`AQ|BQ9dd@m*ncnn<dU4o=>a1Yu!z4Zoss`gNs#{!*y6JP_o89<
zP}LO0_Qy9DtXppkA#(-U9~)Can5MGOP(YRub5gdJ5sI96{x%H5qu7I7QeNgrYV8Z#
zXu_QT;LQ2%sLb)dgEg)?x)V5?i^3Hz>Uyzfx4qXmJWruA6H0K(iX;?HPLlZSz(15!
zttdW{LdaR@6wa~vmglsa^;7^U{9wpN(_>9P%2bW2nGWvekISGmlI+rNsi8na%l;Lk
zjKhB%AN-~GhnpI75EUgGL31lZDLmf20d~rX^T&uO_c<JW9ZW$dTRoZfw_w;~)$Zs*
zYUxDRiO&S#DUp3TLdmo`NO}|U+ag7c#aC4raq_UWvO>j#J%e1Aus(H2&<5R2t#3$>
zl}E__^_78RsO+Pj)9_keV{o7UB@k6o?f#chXwh=}&*8v66aE082ic@mON=Zr3LohL
zml#(eDm&O-IUJ|cbM45B^Z`u~Y*HY^l_?8%q`ENeYAWRSZ{s8%Cz6Yc>fSRq$vL)<
zB49Ht^Ir}P`$yq_xrkvf>vOpL+o6#1VJ1$<F~To%d|fD~Ls(2SvP6teup|{<n0+pp
z!YBzy-!`dv-8j_T1(iyj72Wsnp)d(w%G1b0`(7wJ2HKNHEIC^IX^!w$#u;H1ysyE@
zSvuJzQ58y>G(S8J&F_Xv7lkYD8;>g!;5>5&8h)AM`^-4w6Fh<7^Khy;e4<Y&P+e2j
zH|{x?7KNO0skEcixO`UYZ4UDnm;Gl9!5^pd(~#0-e~pUzPlrEJWeEM5*qLXEoQhQ=
z<00}4WIn`is}+P+?514_LcQi+r!~%0LPl^zU7LLQ7Lr%VpD3QC(u({ujWO4X;3K`8
zv=uS++JZiQDN^Q5a}+ywn$1_zusfjAMVUQQ&~PzYWI+^E8OhEdRUp|p<*phcB?>b(
ztRx6*y8Yp^;hV(%a_EiOP}-!wf+Dl*KczyeHC`0m!y#dwe+e(Tw?eB+yr^{RWxzJx
zvaEZ8-4uJUf5M{mOA!%;g}V#5|0q+AmfD^H%d*c#D>PyQtJJr-IIF?|SO&j&^xXm`
zg|Y)$EPR!z;%crVZ?H>@5L(s(qfv8zQ5AxnFu2o1XfAQ3q?g>%jnWxkbKmB^-AKI1
z)HkfD`L9%U**mxGx~qhS06nFk+12zQhlj{uVr+6fZSY>L#wOO>Qw}6l;!T)vZl$Uf
z&tl!LF3C#sPRg@Nn07&T8fh+@w~}|TV6O4b?;*_yPohWsJK-MBeERRiaOYj{KSK`u
z-+((+7qTGPdCvb$tdJ|VNI#@L9}7Z6X|NN5$^8xgVHlK@sf-^o4{Aqj-H~%pzojI{
ze-}2m?7u^_D>Y=X@E~HCXnO_L;EA@kDxylO`R@UWp)WZGXe5XKJm*adoO4QLrZe7R
z9n}9Q^bBs&hEH*c|1rFz6?yG?rW^2`Wtho#>*T_SJc=9z?v5C1rw*8en}r%5&nQ4;
zWYZSd1X}hV)h3AYg;qgmkP>Zvsj1CXgQT7kr8OrhRY99}M~M^Z^)Co<7%oe?R`^R*
zi#@b`HM)X_bb4a$X4C^7JgI9Fns2B<=B571O<n?!|8;Dp(5iram|nNY$e6u<yR>&b
zNt4f*q+d;4|2Z^zG1PT|TuO!gn2-@t*`F7v=c;Ud3C((`1KZ}h6dVe1!flrrD{kU8
zK$UGCUQqGfU)V)DcOL&#iV=l=e{4)b0(eG@4FKK){=R7w{R5d>HUDz$9-HB?D_>Pz
zD-cPmT|EkdGTVJ6Ryri+%~9}>{KHz;8LM5$db#CO+VbHA74d9%S+L1Z9c6T2|Cjw0
zs8JSrgB<xHs6!NV7cae&8;gpd?(zz)il9!iU7DFhC*`#-d=EJp6;lk~Q}aDwpC`A>
zrt9H<9A>ls3ZT;e1pYdKzdosc{UQ9yaWjM!9@oXVvFWv1wZr3i7_i0A4VvIzJZqeo
z6MH@n=i;@db3x+>K%s^59RRRXqesHp9$}s?vD+um+?|wLgsqhuxc%cnR$`_hq`~oU
z8_h4&M4?$813!!PWVwOvsk-bP+t-8P2$1veYf@FRjf>9|5%4Da)t-O;eTp`dEp3ZN
zo08F~yC%mUP+ZG%$=v)cRd0ey5HnQT-u7U52l?CEL<c#0w(yBAq1yJg@izP8WXNV1
z#%jw%_CqO3i-W_835l_2s+PZaKQS~#VHxj>t&Q}ZVTY#w25MH@q<K{!-)_j&Tp58@
zDSx4})U^rqUzJ0hKajuR#8ndFua$R@FT|pQ93jRh1wy=J0wWN~3h1mXms(c(uT;}1
zo{qjbGwG<BD1A2rYw@!3+?0t!ir9QuMF&|(^0I=LmG>|@9HV3fvrrVTE<UB4&@w1e
zbFoy~3xp9ob6?A+m2G)_ekq~;X=o<Bty}JSEuRoT!|QY!hVFH}y_}K<(v%F};K~V1
z;i<_;R<{i=3wvDs#5M9?kMon<5BWY)NMWzB<Ae(t>AY%U-Y<nhPi<7RHKU06tD*C<
zP)MNW2S{W-7zvF2DFEnVBvkfieQ|n+4btC&DHKh2g#H9+%x0MNbj6XIA+1WmCAyRj
zyt>tZr7>FFJ`;$ofg+6&sno@2m6Vb5-^!tTurixv8e{u=;)MEJ#J~XcY!0I~Jc*(2
z(i5(NeoFyKLCyz9K~bhM-j9`(q=3BVq%!=~Om?GIzF*=6hQls)O&k~RyVAA^nF)iJ
zlv`PWv(9+2%Y6iM??lSy7nr2(ny~y?Wmxo`0RyO&-HrDraJOJL9zHUBpOl6(_fe!?
zQk3H`=5opd`f93!lvAOpb4<L5y=q?}f{TmlYICH$cwd8ti}9kxLj_i5Cq)LUf}IpO
z<*uzFI7$FmrQ)Ex(>*1MJ16TziLyT$f-EvY?5X%P6)m4JheZSd*&s-H&=iq(Q1_xP
zwt{}#>x(63b6TkQK?st%R!ESBxNO>#(PFtMX06;(bP2RoFct7o^{Jpa1^FxBM^eod
zQ>_X9VIr@%s4n>a_kclFw?(c(!^P;3;45e{f}cUAK=5<QT~;Ixip8w32ncw(#o+?J
zcL;(R0WWP*ZW{Vzg=r)5%V?S^=9eGlGwebw3WOs`oY(>%V5K3JRC}}PYFq$HTr6t?
zcCR~5SH6*<)-8sXOZY#uD9FJZMj09@x_c_ff#4WIaDh3tTdtnr8_`0$8TZuiNy9xf
z%J8HQ^bV|4opYMPO4;~=Ej%BqOw_nqN$eaNqL)5Q>?ziXFr$g%9~xdxt^px*BXPW3
zNr*Kd={AqF1|%aK#mVd%5LfimeC;G}1qclRUjcdq2F6!_=-0(r0lF!4@Ws^gUISVm
zW3^?K_g%OO#NM@i7ds^Bly4~61oK?OpB5vog-$0p?bMrIWN);cX1&$6H`lF=AZWuv
z)6I4}a=`s6SZRVcKapcn6Uj?c3GJLQ{U3A2m9IAa2;`3YPLCM|B<oF&9}X=?E?F+B
zTBW8fh#bi4MzSRTp~;{tN*PqJICKyyRb3pam3NSz^%NcCq%!e|;ZP?_W4lmp`Pg%e
z5j`}=enYA)Q#i*-sZl4@lIZJ%VXDjg#BMnnkf*4c*ga7?;L^nIP#TQH?iA?`DTm_9
z1iw>G%NVI$PGYfD)l<9s^U&Aw2C^)sb`w41??a+d)%ra!k7{vwWH*SF4t^ZTqs?&D
zB=5dzW0%R?yx}Jx``-sGeKC@`=9}u$M5AAZ>0HhTN-X}bFcZL(@^tRumy*G<0u@;#
zZ!E}dXy)7UBh*mB?SB|~yX^mVWfpT^^N{~PI1s+y_yeLcDB0&KDZBo7(6i{P9#$(1
zI#%SgTk_Qm%WGMuoGlB!6o)&h=uy2czj=sXo0F6AJX=Y|`58XWPmMcHd>cI(XChHK
zSthx!TC!RRK-RD2nY$9d_HTe*?$`b;{-T{t^sB(H6>Nc?#@;}EQ@;mZsq_Ei+w#5(
zecR#Nr+cR7D8{mh`!(SMhw?>pnmCSlxtzas!(GSGH$Rc2>TlXi%Q5g>P4ZHSB89vE
zUMh#>p60)(y4%^)lqjTjHeFkR6@2n1u4d&ry01A!9Z5YRu1qFO&zjy@CHH0$DpmC+
z50rP1?@fvha=b}=Qs7NqSti;XgshiYUdhDjDXG3wSZU6Po(d^>o2k6>YQDjfh!-hR
z^1V`yYO&syE)?z(`XNlP3hT!%x?9O)^nZZ!GV5-QwM&W;W?7Dn)t1S~+b%RC$D*kk
ze_xWvUrp3f3;B7xNI35QBk<=@@co41lfEC93iAE_Nht22zTf3{kO`*6d{SdFxvbXh
zOG+qq`&-EBW&ccNjtk%JF=18+(O3)(5WV=z^lTIyWs3TKtaM1|hT(4<JQ)*$R_z#f
zRPN;8H=;#Fso?oe4(@fBYl%a@bMsK;0qFVY5Nc%?)ZY$w!3^eo-Uc5TW-6t}%mwu&
zbF9)}r*A8%Cim%MsV-6`KvNMQ(sD`tcZuZUqPpQ4X-WO}q2Xf0Xk}5sm04NLpjEK4
zm{U%Dlt##e!ic4xfEGyCPZVQL2t%t0zd8gjgjTE{p_Er#P55~#I(!F>dhJK9jLX-8
z)F??3z5~ta!dA>)Bv-8XeG4m9pOj@A|Co5V>`%^(KnVf-BZ8uwVgWExJQBdA?DfTR
zjZ~i_E!RjZrU1-_wf^UTT=)(qz3P&;T!YVfSbGFe<6$lRDhO-O_l2FvK7IZH?N~4D
zV9)0f&aU60A2_f|<G}C!_3RkpS-Iu<1bp<&c-cmMl~oT+cX3+8%Qkdj&ZV15CAd5&
zeV(ejonN-$2&6*NtI7f87Ac8Fs}$D*(OKENG;PTZ6aJr35RUNX%bifEYB=hbcaR^B
ziVkwZQGBASUTvXg(U45;tmM4Zl5FKSk+>(-a<PikZFWhpnRHYw@VG03YVkV*=gNuA
zM^$u?@{GWp+6hxRwSVxT@(wg-ry?5E$GAWgzcKKUayrX^NLj1=5WZXzAq1$pu=M#-
zLQ5BxhSFdxER{J9<h^{goRTq?l{kSZJT(!~^BlKB?^W|0iGKHQL!z^J4sEbmvE~oW
zS^k64!B<&UVmskeBjzy+yrXKu{rzg=mrF}|5F|kR*FkF+BfXG%Pk>Aq2I{!5#92Y1
z@C^dZp~;1Vw}DF{6AJL@y8t$`MW<9|q3E&Vo&SV+;QzA!c>FWcCk(dn-hbg35RzAm
zfjufog=da}qKsdjft3{ZVGif){nwV_jz|y0s@+D%mr+9DIJl6wkcbaa3J?PL%Z;^}
zSx7t<5sW1_lvt2HyS4IY^mzFY)XHWUUI=#!G7R`g7rnG=VP+Vn`JkoyB`;0N?NpP+
zE{B#;cqNfoTvWHmBV`mC&~PzAlu=OdWHJgFbP6&GIpr=Z5()(tD=Y#kA>Cr49gA`d
zHw{5h%Q2wPR}6uFoQhts9K+k7IbGa}8Ls6R9>hx3=cr~qVKY6&Zwcn&A*?`;LJ8#<
z-bYZBQ!H`}NbyJjm$Fyp7^F5GDaRm<nF25;$8Z|REz2?BbDm@PBL1SKbNY30attqO
z2X=GZMRQt@w$AU<AlUzTWE$=?GYvEvX*bp_h)T|Lfjs$i*#eE04_1A>%)F^YpRCHa
zfq&KJpY(3=vxfhwYHjC?1m_xMB(%?>@Vg>YLl-6@KT>1MOBIx7Y7$)hA7V49Y{;U)
zbZ#`0<VViav2q=k?k;6%egL=+Dpk#OTwC5jelRLJ$jNo!6I}$gTn9zd1?#mr(fqSh
zEfuR~-Fqm>ZHy4j{{#V;>ah&#Vht~68m^Zw<~5rWbK-h=p7fd96USOlF2H}Rw#=!v
zaiRG&7ERRx+E-R%gbZl&c#&}2|0ZaMM<Jjk^(F$^$AG4$5b+VAe}@L!kGmDDauRIQ
zPDmr%E-s+N(7zu=aM^!TWl2Od@g(ML9B^|B$M=u^oEX@n5^%q56clB^{UBC4B<$tz
zRs2<HLrVj0gn;(Oo>$2IJC(<y2bA|ht!&8s0k~Tba^oYz0H$($V}#tFO*NUaOPT?}
zuu8la|HnjPaZ%l9judkLDKuP+5QW?do=nJ{L8l<(&M9|!I^<5oLTLb2QV0}7y46I7
z7lqyL8-gMNE~7#!TH2)iSmax%=miVACl*YRD`q;9E0*?u2sDf^Q?D?h9(b1*4^l%8
zI1o#5|GTV6!lANKz@q)5jD-UCJy4@8Ij^w@$6PURugW6hO<e(maZin$BDANDGCawu
z6|7WUspfroBc+63{VY|=B=e@qWa?_f{|ew+@hb!A{)cFk=M85v3BwJ;%gOnQsE#BI
z<x^Yi6p<!+q%4l~k`$A3vN(io$xab`&a*gYVPHIqL%&M1IOSvF-=1~pSXF-ZT@GPB
zd^$&-@o64+K%bn&$DFP=D!S-bnl5)Ci&@RRjxEu~&K2=hln{2wh!Zr$6Xi6*p}0?m
zMc2b8>FZGQa31VVZiw9@@czwYnT}x7QP2+?umR-=s0(+3Ej9Wfd>9H&)aCb&u?2aD
zPWC;<X5r+>7?fZ%fJ2CbMnCr2(JHvDc;akxz@}e@=k#jd2HSIt&22heaY!*-;JYJH
zY<GHtV{A9?1`Z4Co`TDHaoG>saJ3i*jrxY&IE7E4yD6Y6gk#kAw}K#sH-jAQ;n4}U
z7{N)q-F~Nj7Cx)e8Ni(-NJ@FVdL!s`plSq7F7rE1+o3yk{1{PPyz7BIiVAHzg0peq
z#sYsSxZZY7JMF>INjC4=a2Bz+oMQW&vmRgt=V<n$<nC0{+30UV^(8##6_1#Qb{)F|
zcjn^IZa6ro!F_DW>%v!G>hK+|01u*vb;^F+T6xwA9Upw9`LOPUVG!0`yW4C#A>fRp
zHsIL!J^b4-S}Rl3%77h8JxMj;e+1-`E%9~}8f5J&%?GK<Y%h)>0-#)gs10Kpu*J6B
z-R#?&4j|ry>q!R=zP}`N8bR2sH=Q2H2Xx~Ru+wlvaSKjK21L9jd|TLQd1oOv$(HPX
z9MqFrY|;avT5R?^y}A-S0G4ieAah|CUh9Tt_Rt+bw;Lh*lUu#W={JM=*$#@-UN{{u
zh@84!lcb~p2TXgBhv#TRTk;KZ7>J;9MotL#2wQ-`z^SQSI6O7zLh(gWtd357G&nh6
z2k{ql62VCkPzHEI@1q0DcZc>FbqON64`&rfPInUovF&x>gy0wN`1*fNv8A5VgH!M1
zXWF2f1-!EXhc?%7dN9k4<6gABwsz*snbqDFd^5Vc8ibo`P3QC)l#JE}>{6^jq(F^2
z9JmRLih(h+aDU~APkja;yA-w>sc!I2(#@5!n;70kj#fP<Zc#UG+-XA>bFsYvv#1H*
z^g24r4uMQ|>S}r_^6OC#CFFj#H`?mP_Sw4YZMtpv2lBhCji+(41v<jJF3#}2559bu
z9O+$e2k`12hxSmzg%eL3z<5620A+#@N}uZYpo=9?O0gFM{#*~-57HAfylx9*Kq`j)
zs4AlVhFNZ})7gNJ21M}|^yNAZ9@czm1AM(xb*E!{?YiA;h7M_l``AvWdwKv?fz5Ii
z0do?>3%+;efxyT0*bX-xP&ptB`=BEbml!l9hyomE9u4jWC1%{kV_oSswANA=@C|~N
z*QEP1c$5G3e*x{u1Mt6y&Eai4It2^SgJY3<&E10<JqOEj9UQni&56+t2nCl6UDvCj
zpnDDcxQ?<o#)gV1FM?Cb2lt^D`QOkNBnuwcMxTus@Hb0ggs{N?BGQv?i_RgUvx<B?
z;=;${H|X1p^f60%v6tR`rq?{^wH(@!;p46iN@Y>%vCkHD`6cid;oxqX>^M{S9aK}Y
z9OtrrhnEB1gS>Y(g0`9xRP;dVrYb#Wv^XbwrAqsa_QB%7rz${yT$*l6JlVnKL5Vhk
zKB~w8+uaD@P+pi9_~tB|xl!Cd2U7FK!An66^z0B63kYEZ`kQyCbg6NBx4KOdzuW6J
X+WjV|uwWB~eZGn6UT8+no7MjVTydhw

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.helpers.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.helpers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..4afff026d2d2a67ae58a6fc45dae9bb70981fea1
GIT binary patch
literal 11844
zcmdT~TZ|-C8J?M)ThDdxLS|=aAZSnA=|M0mt3eW!025{f7f{HiQr&gBPt{ge6?NH}
zF%sbc+)0j!fim$D-}T){5JMmu65rHBP|*i{6b(T{<-yDMpHo#`RehTsFj+U*>F#s;
z|MUIVbI$+7)HiOckI8>xIq<mY?9_F`a9o20v6wa7X4GL$7(W}YJsCe9*F?qFw*xow
zn=BS%7}4aWZTQTIFT`SrhKHsd)RXx$0c(b)>txgU6rbiZ7vdVPh^f#FZI<g2Gj}uF
zV}20R5R8~S&vuA(x8tc;a)D)ziD^#<-7w}yL`BOO<%h&{!rzvdv`vS_TTw$7b9xy1
zW+Mu*FWSc;(+G&?nWn7=0UGgr%F#RO+pH0J-5(9TdC_Mr8WV|`P;XOL%$NBJU*M<s
zA-*ckZ9Eu&^Nsr+e&m+hZr$*F*9tZaJ=F27W!lW&0EfYb;;hh7Pe%lGuC`zI1MKSb
z=0w!s^9uGZZimwbF>{}5L^k-9Xr1i-?t*j+IJ{YLxW!Ks4*WW7o?j1mZ^Zwb@c%>j
zzlM$R56ca$tKs|%7?=hF6^PjFcy8nvIZ-Jo@-d*{HbbA~#hCOBBE(n3={zvK`-e~<
zSKm~kSTLQY9T|*Jlv0}Q=sO1ULLP5ULVUU>H4MUT+ioM?6Vu!@3@GHDSWKp74YN+v
zX)vD|@#dJAllm99j=hVqbI|K9RYK!VzA90e1&DW)p%cr=#@Dxf-GkD`dKt~zF)xQE
z(C42{g_mITnbPmUnDH%s?n1mJ)`vq^_nGJVp_XV;{506Q9|HDt{`t*GetwHTxW^yb
z;}7rgFKmwSFYfV2l<3pVE`aG~d9z&G&*my(I@J9(>pF{6Ycr)2H+7`Wj@Sj5E@`Kj
zG6PJFFOy)t1bcgWq`kG69!5UX8our{dBNn!Jf%?v8wpSwnr1p?sA+X?_bgc|)X!;G
z-Bxut-ejiZshlC;F)->FY^T>$28lMW>oqay>82lx4=R{GIg<L5e0nR4bwcHG%EncO
zj`SfF_-efkOW`?W#O>#~8B{%ZSG~=u5XvPJVW+BOQf)<!3?4zX<@(h&bC|D(Bo(FO
zK|OVR?{%53zx*yR{LcRU<+rXfs8bC9<a_({EJgL34uCIWvbdwE+s(+<L#90z=?-E#
z3u<fCn(0)PYL3v%wOHIT+;ZxDD8zlWSw$|G)+CgpnbV&%l^8?ffgUX|5tzy5b7RC^
zedyE>2C{u=ZQqT&;B3`&!ZX!uw`Z${*$mgJ>$l4<QrBu=VnLFk6p3<xG%ey&;<^$0
zO|^C8xUM=*L!hq=R>zu{$ClSUWI@D>SR~eDIwOCxd_WSFosNArfURNRET$k^xx{4D
z|0$@vq^OARUmb3>6vq1N3gt5pNJR>yERAD*#GXo^Z(kAh*N34#OQ<WzXNh<(+Wb}i
z8u{ekbfM+HmI)XbJ}Ma|huC2u^KBE^UQUnJ_N|<mPAc`!R?M$<&7jq?$x>^`cC;Q0
z`^?QS?AKSs@ZG@}igBkmU-}2YdRvP0xI~Cp@+byGaQlTbgcv`Y@_}y!s@B~2*w`?_
zUJqewmZm7$C&hTRxFCN!zZ(B%>Q`}qptA=ZRNxdm<`{6D+76BhIrx(_@1z=BWc0?N
zj23Mds~T=cH=S5ac)Q4t(Gc!>Fy$#}?=g;LXi?dhA|@)xWR$OtM<?8~7_3&>g5Fx!
zOGK<ye3WxRYZ8q;>0lx|mSuY71TM9Rw*d5CAmqPhI4+l5Zlai7pexycROq>uBBu8Y
z#dIL+)@S8LtqMLezJ}=7!^6p(KzA9TM9C6LyjRa;&j3}Mq);R`Z{3h%G1D&9UxcDF
zl*d8pWqkzGy6R=!N<Z_urAXzK%lbHt>90U0y7sL=2{!xIq0s~1=;wY_0QVUZ1t-Ya
zD$<K9NBNuBU|wj0&({*g#E9Q#l;b`q=LMYDp7jhdo5lJhAmvbeP9D2(H3H8Yi#dvN
zZo|S2PFzeSruXYsr26n_G24o4TSgcDdkTv$;$)3*C{Io=5PZ_>E5S5fC(K_srDw<*
z|8{1Y*WH<Br&ZlCa2_C8c2l?PU@&rAW-``KBsSK|`<5r|gYy6XtBi>dw_Z&42+%8H
zu4OXY&`L>2npxwLPWI=_q}!EDEoTjLpGz~F>}D$8ltGS#R;=G$3EtLkm5^Se52Zoy
zF5OKuTw}L~Q*_TapnfbIyvYh}Uo%72>7Cxyx{viqdFVt$hlKSiI&rf^HwJ0As;YxU
z63=i*u|dJtZ4H+TuG7wu636;1od&zUeMJ=ivu_l|Jo1FVV@<PVHsi|$KmH@EQugEj
zQi#8c4<LO~OjK*d^vI&Fya((Tp~l4FbnmR=aXl~#j<=gh^-YwnohVWm>|-f)`2dYx
zv5w=T9C`9SG4GC5PDRMD9nUtKW{CU1EXC@Hfz}GvwifZ{vb98C2{>yR-}1Rr2HE)9
z2*d#ERP~QfJX=aUdyvJrYX@strV+yi0hqG9a{j+`=cYW|iuHFX{NbqojkI9JdP@$q
z-oZ!etdk_AYeqMx_7PNT6mcJw=WhJDAnnNY&9>?2c4kJ(i`1-t=N1*Y3^2L<&b4Gv
zNEh<}1d~_L!5bMY)5Hw6u+#uEpsqZXK4xHDgE1*AxoiV+?U%r{ODhiMJE!)B<Z$rN
zyxLoJ43-XIe`;@H_+W^VBZGpdxYhATQ(uN}Md5tqAe&5R^rpf^vLoEe*AGJaYnZfO
zw{oTUK66lfC(cw;faz-y;qM(}o9_?8&mV;J5C4Y<zi?25$8pN1lRl1Z7fSg4;vkz;
z_|kIa;6OcjKY}rRgF~NjNBg+WOczAIUU=;CI-|qE<_H0iH!6gKp-WnCs>tzY894?!
zE?V_ZYAB_DQDgY3zfwbgDTi9G;v;puN&afRo@)~`4<yII^eHv{o#7`#$>O1+aE7y+
zWUF&DDa%%^H*$1)V&n1b*3u}&Kj=aK&WytW{gCnLD`6XlniXpWGlsdjoHS^A@3S=K
z75Y_q!<9&+(3b64O65~mvc2>SaT`tAr&N}TX^M0OwLSqJGU^w|@836n?;$!Tlt;$r
z`=q$Y^OQp|_2fNI{|(BZTExFynmE`h-pl?Z;r(x~HxM3pe~({{`|F8A<?RjikJ8BR
zm8vjUS~(*pYq=sLA4=W&IeZ|zOnMQ)SJe~W@JT<GleoMuQkIMNpW>97O1W^|q+X88
z_g3lkTOA=x%;0WIdKl{m*d0op@RF1JJ>$6QC4Ub%@aLsvP(4QvuVO}BhXviLg?v-4
zyk-uUZ%MsST3*xTU(BR68(Hx~zNxg#A!Vs@8I%bP7GhQm#m~?_#>G-I@~Lb}%Zj8H
z(iT-LC1wK_(mOlqzm8-DT`gQ$;9ky%#q>kE9ib8@d$L;I5|!k2-t|$UQo%zg3qrl)
z;m5opgS!{!B7V*#KO^79uSL|*XjEK9y&yM51vq%#INEaE&~fqj-0j>P7mHL)MmHrp
zC<y4pXj!5<4NpUX5*4WhSaL<RFq_F1ZQBgFmX>&dVlpAA`Pvc-Nx_WGE-^daoDg$d
zw{caZeol!aYzJi_*i9G(-PS3CHKI1iEp6+*Lk~Y#m+2j}R6-wbti(62SC&l2i$aY#
zO_!dB@Jthht@Tf=%L~?1#ZHa+zUyloH<~CH1J1-M?q0>R8->MHrsOKISS|IGmayI=
z#a>eDc6mr=pDK2gCX2(ghX6ovKxE5z<3(F{+7W6sfVhFjrwLS9iDN!%y1t>IBn$ch
zGE}#<C8lwa+rm9E5HSr656&%f2k-l0NsmHT>o$oA6H2vcL>*7d6c5142HXlTAD02N
z;IeE1x=uji?>2b>iwsx8`!+@$##z=47^-=?Go_X^L+z3on4whBWz8@Hy<yWv5-w*_
zgWzYx0yY!C1k}4Dv?dv*Wi@Cg=^KdP6`kHDAz@k#^+`BS>)Y8+sOS;0Drk<=h9cT#
z2bW9tj{V`CDY4`+Poq00SYuN{hF3%n8V~NtJVcd;A?gw~Hnz97QI-^P*QvXHd&6Lt
zHZU^Sh{Xw-Az8r;4fmH2R45<#nYVt^%^wA_OMa_aB10`*GN)29q3fb@(_~>wlHp;;
z28l|jH(*5umD|mVRp?|#%gi%lUsII@d*X1g>xBA_#?3aj@gMp-Y13_|SO_{gD$^c|
zVAlbFIwpUspPKC=^F=d?Fjt!#7sySBPuUw#mJnk0#mK|W995ah(!InFpw161rqhBB
zq>kYzxr!ia6vrKAxT7^-tGl4Z87kHG#EGWu>K8SJ*Hv3XSqCa3s2cRLIK-SwR5~hV
zm5YE)LcI_ZOelP)smE5y@evS$x`Zfwg({#@kt$5Z(LyWTlFMeS*2;cNlUbk+6~kw!
zQGKsjKZD^~uh5^D>CcP!6Nw6qpa>-kSml^4*^g_->rvGyC-4P18iDFb{$>6ge<>1+
zd2vZvi@4&Hx=o6qTF5HXacWcf7BvpSfp|L&*UmIR4n1CK%tluVD^^mfa?;Vl`f#v*
zNFMz}d99=e<(lvrO_ZTRF=8>_baADx%EN%&ok{z%K=P^h0cbsnAz(+qJb=4W1T)u>
zZ^rY$Qm`Aqbkf#tU`uM1yAMyvdF`awyc=Rb<%V;ys`Q|GgGvHM6gJ*aMZFsW8=kBZ
zyEp2k`-Jn8BadD(d%J(cI5CyPuyHXd(;6{(&(>Y%D6XjLZT{7yJbH7SGQD$ZJu#ob
bBo%%>DWQdhw#ho@4D$AgW27V`YSjM=j((l+

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.helpers.report_helpers.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.helpers.report_helpers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..076617a063aea2062b4e3209ab6cdd927975809c
GIT binary patch
literal 18709
zcmdU1dyFK<S>MO)V|H)%UiJ!D-=(eCxjAvW>yQxajh#5MVnI$>;6y<3ac=i^_iT4x
zPxquBx4R++8)S4RDpC@+^S~kb10tdPK_UhIfk22HDeylCf`lT11QJ1l2oOOCiQiY%
zT~poD-7~YkfPK>4_0;owe_z#CRWB^Ovhq_i{0}=54;(i*+BPgJ2rWC#*s>LxY2OZ#
z?B(pri`ny8mvtiJFb>nmv@<q?7N+C+R%8d+&5W&6^ThSz?Y#d|Y@3N22C}=e;4C^z
zH?ywOVGD_y__k8T*00-xFiNzawEck{#Tm6k!&5(J9}xs2^)F={CJcIkEe;Gokz~#}
z*3l){&OBSpq1|Jrd^fPOy>#DTD@Kw;?tYp8OTud2wPM0x$@GmlMj^fz0;4a!maTL!
z{IPGCw<5boZBn+B7zb39IcJ<r=d|;HGw)nv&+dFE1_C=D{Do(J?6G(345HABcPt|@
z@YQpDJK6z+@s5D3RIy#Oh_@X<h3$wFMVCKgAbIK9T)OYfumv};>?4JSg1pXKfRytf
zsP|U<eHec)<L?zh5HyNhj#ihQ8W?Vru^;b;R_fdD)>H_`0+O+Jihf(ub#oT?lFUe*
zA9c1AioH6PVm;eP(#Y2LBO@@K648jjoUHLqPNkg+(FVu6L~)=V9B5&0N=!lSS&+NK
zIuJ7BATkDyLUQ)VQ(=%8ZV+o?cCD8NT<l}57e?BF9oUhP(98m=Z6VkjC+Iko_@_X;
z_X%;^b1sokH!_`Q{a#4r8=l66Jb>2Q!rT=0q7k>UKrhCiGHeR_Y18n{)Hf1a|8Qyq
zut|2@y`pv9KodecodjIT*!!lE^6i@Wvs%d)%!4YQg2gozu__GZ49qHO^w@==Aq`O4
zu%~P0=>}<EVyz!UVLFI+H8)7EYLXVan&q0w6>aN1{DTW*7eJimQ;`E8n^qWoXMt@`
zhkha9({>xm_acPBZ<g;aTLnS32C(@ADO)4Jx$)+|?UK>!9QFO(cwmsvT1FSx=G%5g
zYT;p)UT(C%^aeIT_3}h&52kfE)2bZ1P$L=zTWagdw12UU_RB<jLHK2we3a(SN1W%0
zz`rsiu=C5@P66Qa9AL7geLJxu--Sz4WbMkt0xacLsE8a<9qosjMw6Yn?2vxxBQ&h(
zD`{9)SEk|Tn`y{qgUnEcl!*0PAl7F%OYh?pB9I2;OH#OxQWV8zcMCZ1Ri5?BZL<zW
zXZ^i=)(tkRRfhVEI+XLd!X_hJqDYIPGnkBl9au2C`VoR6h46VKvLPCmLHu)d+-Apx
zVAJkdVIRIVV{?OJgfA#ajt9`=1+MHFZ;}|%ft_SxCOGNiU18)iHf3xA>u|g)2Hqov
zd=sR3ZN#;Hv59eZqnj$!;Zqp!WpMb@l9XpEHaVBdA+0;ILBVmQq)gU-X(4Mp(BB0t
zUy`u22-W|z4E;wV^dOO<p=(6yyXruSNSz{wBryE50w5_uqOydncVTvBMjdN1F>?ND
zC_~P-O41`HQN_pk+ZuuJ&S2sRWdbyqSSH3d{5YtZJFB5B6&^dX5g7!rqJD@crX=Wl
z{=W#iTSri3(UL2V_b35aC4oY=n+7d+u$Y70%-9O~sBquI3N$N+1B)lL4$ilnMYh~a
zeV_XY=hw(YSk6Ua#<f{MW{^B``z^R)VqKsvo{MO<>pWSAID5-eMWm`3frS+UF>)BF
z$+g1Rc2YY$m($5Rn3$i02Q3iZgb@(Y-LrB`LHZ6`>AALV>6M_Oh^Dda!0Q!F8CK<8
zt5Lwp&lHhLz9q52)FMfE47BO}>NHgMUJ$H$p8gYZ1k*A^Vn4KwM<7M@>OO?fPMVSI
z5c;~C*!|J&L)m**O$bA4Bw843X{g+{BU&vN9!L|5iQGkDVd7(k$nbS6ti#|ynTlPg
z8M^RawRL4GeqmxNvQ^rP8Q7-VbIt6IYQDYaFiOROd%rCx{(1bz9n_rGEeAawRjH1}
zsrsWCcD6v=?hhOzc1wnL7#!8bKHk?V!#DdasHOME0^C33;5IiMjg*Ki_R+w1O*hHz
zHaR`->loPk3jVp{{XTsX$-F<nKSlh*$-yZ#du1G<HrRspoflrNM3JKe-C#f5EL>6$
z+8RO8s%%mmL1oiRn72*uvp{RaaVvg?=>3~$gTX(=n|iO}zrs@I!N^d19x2o!*1F_t
zZ}25H{<+E3Cyd+!H!ysuJ;Hc&z28v=WlAi^<LM2xM3RDAmhTg2e1CD=hEF3y3+exN
zjvm6ZQR$~Db(X61dw-&WuLKzzdBjl$dTp*eT(bx((!PRDZH!W--TMo`!;QcM(tZX5
zHxh@UeNRxPjO6T%!gArOjNZd1K`*C%#jKR)9AiY@b&`4C@q;4kqbDNk+*PfhD}9y;
zyLS=<?*U=;lg#^zKPbW)CnD@D*5$M|$Li~5g{+4sK`$pOhO2r2swo+Z1`klv?tG1X
zlp?_DYIE&W=NoVHzXu50Ov#ANZynNmg%IBKJ~6?l9}`U}v};=h5&*v>njZ0{-be6X
z+39q>7nL%$bUk0~<y@A(CH=U+_{vng&Lhz;QzsdTdLLKj9dUs7$sI<k;^ZKD^_3FB
zhI-KU8`FS|Wy_}bb@Uj=<D46W-aY2Vs^Eskx21B9l*%N|oGag%2EAf^@NMceAy?MR
zu?RN>-KrM{gX;EF{&QmBPU?d5Y1^Ifzi}>+{i^y~s!<I<4PM-HmTA5=U+&c$gq#>H
zKI?>7je5J2q4m}`7Fr|DrixXoY2}*yublDC>>*>BYci?CRGQp6yLTIg4yL5oNpLQT
z7`wgGKJO&9eS~@<Aye+s74a!{jYLYgx)qi0Zi`k+*skJc#Cry;#pw&AR+QgMK`7Gw
zcR>e7=XyYA4suvemNRv3u=n?nDAmbqyuK9aPfV91l(V)bMxU#=LdPx&*pqUEZfJ>&
z=2b1WDGQW@(XNJF3GE5(vVQrhcFR7Nzb{wQp10(P)21tPb3bjjvUNIaRpYL6=p2>y
zFN<6Pa+h8#`?4>*k<*uwQ#iUpNy`@`$vaAw2wIhrGNFE5B3rir?mEo*Xf2_TgH#CR
zy+p%sC_W*f*qTa!a-TX(;w%^4^O|AyW-hdfV4Ob72z|B{A*VKF<9!;PK*33}Hr^N8
zC#X%_6cdc*Zg@?}`wsC`HUcW^+J;c$PuoFLwq;bGd=Jt$U*+_x_?R|Qmkqj_vn@0c
zSv@ZkY#GYLeRY;-L_RvQRUsxyNm*L{zMW$AD12LhHIcM@uYH1gX~`$3krt|Hkd}Fv
zW`Xahu<*Jv=1Zr_BUP9;y{zy#)UD$BOy4}_9a&hk(z$^Q(AODuPUiGOoNgo+rEZwd
zK2Zn&zRKvotrdMX8;<1ky@#mFrq|9KK-FQ3ZorR4D(5fe;W7(g_;(qccejIs(-b`;
z^%MQJ;iq;PG<G3Q2Xw?!kNZZHd^ip1049Yq-eW4nCset$lAGr!bd?nIJgOyL^j*g5
zL#=o<SmU2Xr%A1`**-zNe&rL?2o}}c8~r-2jP!q{UnwVEWwv_#Y9~Xw?>&sMq&sg>
zrcbuw>b)J+)#D6>HjRa0SA}8jvQ#4aEX&&OwnOoB6^ikSBY>MmamKgBfrHw>$$L!M
z7MlK`!8coxR~_s<cKxqm;t_kUc#rZygId&wMDqgpH*w;?dj|CIZs4C%{ORc^nf3@0
z9Ww9?8t)FdZgIjOk6C%Ldyu<T$h?VWh0KfHIrU`0k35ZK9nK$UfgLBd#SePo6qykn
z%R>ciO{Bnj|4jVa^!{mLwh`2Hp5RThB;kbp#~eSH^Ct_cvM1kfn2zS#w{2f@W6cbG
z-x$Q8CJt+?cvz3)^UzHkEpcouPeY>!QJrw{lGLw%pdmy4TQKCmre%oted=-P+B~>9
z#MV0;6{GQ+(CP_@d>O13NnrV==h{NqRaH#BqJk6(<Xh1z)aha&`cT}O-DvNVHL$m4
zZQmYRB3;Xqw6y6VbV9>P{o$`I-@RpP`RO4-uadTHUDkCc##Y@h{0HzxX5NcL?L!y}
z@>rLsrK*zquY}U&e4?^GtKa&4qB2}Ni}GU$yBxgcrmFoG2RJ7@mhfH-+(;arsFjo%
zNlJ|nrXeX+)9#_61hmM5lx;RyduUsAuAv*L-p~=YbJKfp3~5PG^1}+3c+>X73Xe&P
zq;;|Q;=*q_*eNq{f~Ol_(a4t36_q$OO*@X=+qSTJ^`{o(Xhl3ttJZu`Bgw;6|2BYA
z#k5&i8u?u)L&Wi{RR*e3XQ}1|%E~ZYe&U1<Ek(;9|3+o7W{`;qxhmY@z%@5jRl&QC
z#*>~|_$b;ol7_2-q|1mZjF6>46>8eOZ9?ggq+^rzfI3v?8?O%G81hc34wta}QxqW#
zOk5Sh^%}Tt)YQuSnAPKJ08o{{W=UvdW+CTa<G9w!IaR5%ye>Ka>&jrwAS-hImmIj}
zrYDy3zrnzbq~UTd=`tecBV=ii^O|<&a7eep{GmwKR6=^Iql}l{uZ|(wi1fA&S)4-H
zoM6;ETSl=|H8rI!v<QIw6v7g3Iz9lDrw;PyPyUwV<M#j3Vp(FFC5K?hL%&VxG$!;@
zg7gb%FtWxe98+zb1d-KNgU375fX#E4SJ9(waY^Xq+#vMsF*iyl4swo^$|TC1D<7N&
zy@D$rpiYx>MF}}8p=m=(V1HtuPHJRoP9K!QZf<6t<=knNQ_k=k<J%PsC(2F5@OJ&r
zlhwr%u1Em4cM{2Juh>42jI2pnUxx{xiw<=uYwua?Kkxv?)9LFKpyoX%zYKiUr>BR|
zb)CoAy0{9xmEYG!T0B3rTh!!tsbg#)U&dKB++BwPIV-qjF)tjTb5-1eZ)TLd`tMw&
zzO!uIOe1<EK$lMfoGwbl(*SHawiCLkjkgcZ$;S+OINXltz{=R-&(of^a@zaM9_!@y
zyRn^*A4q{?x5elW@MBd>gH!s!E&N=`f2NU-Uu#Kd>hzQV)nd8@x|oj}Zs&Vpm;~4t
zS1PZ~vNd{1fzH$);YxWwL&-V<S9hSBVV@poh%w}*D6xH;m*})Fp%)JtV8*;d{=&f?
zJDp#W=erx(wK=xp7}&SZe=e|d_K^!(CAf7Q4@(y;dp|wEbnAykL`w!b{cjt6lynlT
zCu~9r2l3b4V2~!d9hf0q55!HqH0f<Uy2UT&JW#IG?I;Q(-NB{`9!CJ32~-m|`p$%D
zQXXZ2kCL&Am72;B-ZvnZY+Z~ygrVsDK)IsQnVlsZVi3v!iF|%<c+EG0gVZ>%L2(QB
z59jdY1-lU0W*Awzg~bmZVhBunSz(VYBBto!4iYHhS~@Nq_uL~Ka$xI5nuPkWh|ReW
zsx>R^4|FMbAS^GyL2^67`EeTX3@-t7gP7PqEW%b)YK1!PH>1^AoPZ8vTUUE>DKU|Z
zabuS<P8bU(Jz`_uCq!~6mkNb&uCmiWCWZ=#8>f((yqQi9Ebw<RHs}kJ;1)IQoq)qM
zngy1x;%yN56C!$!v<i|F96%6#w~w0$ADH>O|5#w_1ACy;1qEm$R-1qdw@3$&ctB6;
z!89jHaBF>M=kV}wdvKgMVXz%W2RoL1dj~D!os8X2Jvb=nq2s0t7?tn~-u7VY;YZ#H
z%C1K}voZ~p45xXZm?jBByjtSgNsmwCBz+%KbP{79T4W_oc5RtmgiQ8zsh$#iUED0c
z%g)Bfcn9K0ciaQV$6v_rDWC4eu+u!<g-iK7-*pGO`NQ;=?uR%>DM))!F1m!ify$hO
zXniXk;2H<Lu)?2B$?d>hNKa_GK@T!e7>4s?D&lm%-0rN6+dLL@^%!$GHm=LwW%rwY
zXx!3mT(I?ZT>8h&czXNf4x6`w+w@QhTNWk)ItlT@;UgCUpXlPgEf<D!m<ZyM;Mo_5
z0#bkUo(el(Dy92WycnbP<c~#C3%t65=1Wv4zP-<pKY11Z#H>TbbpDAN@ru3Jc@Qs~
z@Om74dYtl?`Q_hX{t^KW9VC%Ypghhu>D6c#&!)t<1DM^Rm~3f@qMA3=;}|!c9?w4T
z3`NS;RGH)iUBjgxuD~SyqJ&IO(N1tqEfMYTJ`7~IzaRQi%z4xMDuuFjr!-=xn3Z=r
zUm71?BudC_-CrFmubE*hFpOrHlG)4HD($pG)*w}Ij!RGF<u5}LUdpaRwQ<S|#sY#B
p!zPOfrF|?FugYRB#j9>$`l$u86duqkKPwiQ@Z8!_WRdP~|1ag!1~~u#

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.histogram_utils.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.histogram_utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..8207c3886ddc3a01d25effdd33e3899cfa748011
GIT binary patch
literal 4301
zcmd5<-)|f>5Kf!kC6^zUq@{gn3WpFPh~^Ff4^S#WRUrX|0|5mAs#e}z-`Qk$z1ZI5
zPN)(*AQj0-NHu>9uly(c5xnuhH@ml+yFf{(cp%b6>+#s0`R4P?_}kXcziuy;e{Rd<
zLS~abi{nhi+<3PdtEfnMX8l9|{CEDo-*X+!j*KdF#JyXBMkHhsYo7Ug-gQac%Ea_%
z>sJhqtW;UET(m@6tlaZ^qT^at+Jw(dxvjUQv1+VY+Ph2Jcv6Mtg-`f|O!%w9_rA0W
z+g@_*oWTz3#g6L)jp1V1wP*GY-GxME+z*S8xix03mSJJxC;7E3V?#cyL<utnLVUL}
zmR4V@agiSnLKYopJ|dmMtynguDKECfRk0y<#j?2OJ{#OMT${oBpMCMtYcCISt-dmY
zm|2FekxaNAz(O;qEL)i9*BYiTYB+)lRc+wilXuP+p;&S)nZ<lE2VaG(cnaQ#r-9ou
z_&tl?bND?^o&g*!OMmv<g`7$4T|ZTEk?_}h^QJx80`K;#1^Z{z7ww_-tPn4V{W)-c
zJQbV~XSUEh2sO(hv49U@St4i#C-KRrHwaaDnT>mDbXKPT={Z2!aUC#-fquD|gVpUe
ztlZZ;VV1|eQIVCrHvNjCS58qnrs-|KaI50TP&`RYd}P1~wKqVe{~=m+EP>jaRbCJ+
zcW}$}GDYx&JW)s2dlvEOQK)*6$}E$a>480RB%yMM%YnpTC`=KOO>d-CdSgvko0}Vh
z!B|>Rg#AdRgRDsN>FmGNoDWj$RKmU|uDIL(!J)nh&wsNW(D`sa#KbJ53y$oBtXXGL
zAh!3f+=aJiU(mROtZ-F)Id9IR8RyzCv(VCudqlp^$&n)Dr!iD~fE%>@x11Q?LUi*f
zMcE48OJu||gJ3J&E92S&L)amc2@63J0f<iJK$xho<iOy)cW%Em{P?ZDMRBN#$`$wW
zV;nda|HoPm&+~bJ#TU(;c;%D`KiU~Y`|%bpMt(YP*jXa~O&$6CtdS>zm1S>!!JfG3
zwwnCBU)C?r>zXt-)vKmhU8d;xHSD-t87{6@1@E6spOtrUoz|Xn-Kfyi2n0>p->4;3
z`FE>^TZ<Zj4rixnS&)D-%d^<K_NOc<P$!$4x;1p2G0(VWR%wp`svkF&r8x%c)iD9~
zKEQBoHY{|4(WX^VK<xs};<y&o;Hh^PM@m^rmUEML&bdwMmvAwH32sR0A?Z>z%L61r
zYQqe+yjn?k!b?eTgj5;SO$$z(EtqvNL${%MuCxsje#jGl=e%1JENO-<x5FnASXmTY
zQ!BMxE9PM_#&O*vrZZp#4b52!NylmyadOH(a9x?@g$<C|klC}bcb&qH_FvsM65qRv
zlL6OS=|He7Mgs(#$<)ZAty6_v+@)3S;@!0qGbgqXzqoF->9GOz(%r?06D!>|IbeX2
z06qyE@@_L>*|=b14!C2C&!ek#mo$%*j)R!zAP0`24r=JyC}|`32smUM<j9+H;ziqa
zSz%RhEOO^17_}Lrhy@MnfNCj_Ae_z^8r`AWDkXq6GZgz{QEqq<t6-86pSJlVSB3}k
zD@%$*HaL_<R{Y!wVreL&!jYMkEA?#<*WCu3G2lNdTXRrmrWR1GE*sw~^o2vv!jcZc
zOS{F0_d44DW(a=n(3JvhvN2eg$W&VY?$U3+w_G>pdC*ina%Y1iA%pdFH(akyjYmgE
z{d{VL%KA!=2Qfb!K+_DoyG$!eQ?MeiJVl@^0<#MF{<AN>0%W^-6rDJRB*(|>*2h?-
z@Gz0wj>=<%O%oi^u`I+DimmW>R^2raG7Xx$*_a=goEY+h+cr~lGLt~au}JU(c`qc2
zc)wv%hFkV^flF-w)TMG<4TD5QYzFPMNTA7#5cuk{0p$`xtUf4m96^t$@?|tj0zZH~
zDw5d<9H_IxMamPV2p9FXc^dK<7j=rW1m_mJU5*mP4g!v*DGBhf)4Y7#JaEfAJEWJ8
zTdnc~E+puMH-!Y@ZD5%mbL1Pm8+LFI=wgwmL4}y!J@=8p7NphN2x9CuY6jF!(6b8i
z6%tn8;-UD-xDE;IGzVDsy?8h@;%R!g{De|+6Ae?lGT=A|&mNA)y~s^gSChJQ;7MfA
zVEPAC2mbiKcg}^|oF`g|(q<%)hY4mNS4k+J)OuAo<|UOLf&^lwp-LL=ma0#j5H{MK
zg&jNfspX=J3;UxkXiJ6Y^2xnsGfQp_*)CEA<udQqBb6i|5PU$nTe&@xKSYqf_aEWD
v;)#U}fM>NqqOA^WlHP)Ny%CqxT$fpt6fts*8WStmV#>?26h^%Qo(q2hGxLF)

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.int_column_profile.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.int_column_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..a49a545d44b55b7a77a4669b1111851a2bb64012
GIT binary patch
literal 80738
zcmeHw36LaLb>Lim&Z*I8gw*O$Nm`^DnCX!KgJ>kK(FFs8tOF2YC}me=ch#Tjs-h}u
z4k3ZKj1*25n<>nOLEe?PB#Z>?+AIPCvKO1RF@%k5%lIISxHs&@uz+na%f9#i{p)8|
zW_7pJ9kGf~Pu9<Wyz9T~A9=^fySA@ezYhP4w|83ATI0k_P^mPUm9W!`$1BZpcQI^4
zy;HrtZ|vRPE5;M;;CQFmZI{DdybfxVtF?Ni9X5JLdhs@_9@Xld8PR^M6PBY|v!R+-
zN2;UMu_L`=bs`>#YEeBjUd20K)QAcPoAvHuqi}7zIbVa<SQ{#Dx*<G)P<ZRSwMVc)
z=cmV`tpK2jdezh7iIM`px-lLVP#=yr)oYEgcepzj#FIf3wQF<T2(U%$Hr6T~#AK{o
z4>}zvgy)e)u*jdrE8Uj<F&C7Nw!?X>(~ZZXU;$tCs@tnm)h*R?svE1*@v9Ep*a_R6
z1228WtDg4kryppwo2+x75<~$!A$IKp0Ac3<hs=60BWrYKYK^E=CZd!?;Y_;&2<|zw
zp*vSy7mw5$mGFc?M^57ExqwjhJfPkM@c)zH|BK-Ny@(vpr(GkIit(maP;2+%OBS1z
zZasWX!Gtaqh+cd#Z?ivplj`W<s26mrPp$4ZsB~%|mFB}B>bAquTsvr#s}`Y<s6@)n
z0S}>CCufnufNo=<(45bK9gufDkar@U0D%e?+Ci&okT|{qMO6%42pU2CWT)0C%s1Nw
z;709Ot<nwZ1>joYcrAiSRR9pWWyGN(S^+>aT)1~HQ)hY>90cONfQ#Va>K+vIL}5T)
zJP#yw)$%~f3GiZut01XE5^=Hxe6$0k21OD-7g#2gOOd8GuqwMi?Cr%*&n)OOYN(!9
z<T+Ph?rs7#TQ=lMYR7e;OW{qaQv<DnVq?^apQU;)qRN>?;VRr#INWT6`wGn#D%{R&
z0V=(WKNl{icY8_PiZJSS>N{vOno;1W=XjKpMvA8VsfBA4I8x6hT=B$-#rkZg6`-*g
zZ?!{EhR4Dl${d4U=7pBLdlk-qlY=;efNEPf)xbESo|gu(Iubu6yIe@J=4oP+{td~b
zFUFfeUiJf>3Bq_Q0!-|r-=S#)s<&2OhkUqQ^Pzeh=?cJff-rT_oKRvXu`o((Ab&j#
z$Z-UcLpY8DB?I>kA8<PfI8@4uVHCFOHL!&SGxlM3S*L`W5q!3(PR$N?xE-oSL|>eu
zB|^afViOgR>#{rMKWqYhG?_s0`bIA>S%qwR04Q-kN#QO+9|vu98(>lTCh+=M$sTyJ
zM}0VL)K>qfpB1C-j@K8QuI@Lxsy-++b3Cbak)qR<RtPq+u~0ez?vg=T;iv45H$o$)
z|F4?;Cz~&DN5lC_b1|qjdhv$VNpNnUAUfFsg)>5;-=iu~&|V0m9v=xz`pH@DyY%9{
znI|u*u#>aA)5FM=M}a(#08>2VdBg<2`Z-0O^|vYJ+~#2Xf6OKh#$W6c2xLvt*Z|UB
z%MlfgH=%j3hh!t*_@|6&`iushtKTt*ys<gQY!dT<Od41JDS>jKZNfj*houmEr=9_q
zRAV0ka=Z`lzE9#EpPg(7g<xu-9TRmWZ`5yV`mnv}<nn^go(zouFhc|q=O=qs`T$-j
zkOTA!A-yr#Yfe+`9dM-k1!mHyV$<QJ>0lb{F{h^~Hr4N0v(g-Dpy03<5k;LDl1lsp
z+5lVD#iuEK+H8gGAZoS^4Hd7yT*?GI*;J^fQXyX7?9-==VUwu=90RB(;?Y`zf>hI{
z&;*t?#WS1Vm<|wFtNEZ?k4ndadN;Izi%;)#Tdih0Ds>ivcJ$hA69eMAK*_N;m@sFa
zh=VKM12a}QfWq-G+8hZmXoYYb>|76Q3OEd)XCRl*vz(ZCbO<e8{a$r69-r^l>)c46
zLRDU=P9qeD)&o=l&KZ&o?(vnIjmS)a$oQjJeZJB*UwL5w*@D>uHxIM7Bp8(jBvab8
za!{86eFq%y&dgz6d_DenY3)R<am%X<H_NV+*LBO0eS`X+11MzIDlVQu*m&S`ZM(Ku
zi)zQh8^A(dD+1?)!GxCF9ghjzwEXKLkmd&*vD3CEzDDA(RC4f1I1!K4YvA$)bz_RM
zPvZEPB-$N6Z;9h*48d$pvEOqrvsDhHPRO6(ZU?vq`?+giNhr>sPw^S_3HT>15|2m8
zl_}?QNesKpz5pW_rdj$wo1x$EM5|sa*P`BCRN;8gZos4A2eA)gW9{HnPgxpz$&}^(
z(saD)V?9&>B-5Y)z%yM}xLHd@yb<PQFJ0z$N}1R5mZX<`8VD@)1^X8K5JH<2M6vH+
z9m*s6k~l^7N60bqc?S#MH=u4N;bV_ruclP}01NuP>O`qxUxfxFPV8^ssd|e2Ep@5r
zLGk~i)oJ$k_?mRCL2yuVCc*J%I>B$01W%a!!|6m1&n7o0p1ou_$I|GM*4cu?EEC(u
zp|2s?z8jh@1KXFEQbLRPCC8eo>@gHBHItQl8)uuJGn&_l^Yh|mWYoUl88y2+j55$n
zqw@MAT3loJ;hCF;ALpz*V8@VbHre-KWE1zdv^Vujpew?Ku#E|HTnmzU_C@rKD5H+K
zeC13*{u8|@?j-Dvhit99dv+5tc8a|smA`I=29xM(!?<}#{@m+A%Fi~UP9czV2VzIn
zkaFamFe)6c*2>iaEOP`6NS&J;QnX)cH<}4m&V>2AOkg3l*mGzjaL|kC{uedC1rF-9
zTSJK_ng|p!2mm8k7X$n%g<8}J>+=e+oUJq-$2cC*uy~Bvcud5T^R=*EDLHvhk>`O`
zReEhW$ovg1xQdo;vU2iTnM>`+DP$HYRLDC0$2@qjm?M7|{=)+-%!MdO=9-n0eUQTI
z&2tc)g^?de#AE`oFF`D@*xy{Mk@FDKLh*W9{o7mEzrS!83qW;9sV01JMP!=@EJ~1x
zY&I5*UPby=#@$3bn<O94Op+L#rcNs?*XC>G-kp7(66i<vQBJbohJVNd-B2iMjY}-R
zSEhrY11=#1>*5^}op7;L4Pa%`L}-)~MDkkxw2}H_XAnE~ag-nX0tfo@1axv$)34;7
ztH+C^<gJ|`Vqb)g+2`Pomu8rVWr|?y_YR`h?s%l|*d3<~Khsaw-SLh-fl*ZQyc1BE
zycuK*r`UZ1XofQJL8t?rzmKZ255Ye&kPsZ#GXG4G$}AMYhKlt+5`FPZOVlX-wgTr9
zfql&AI#yXwA^YmLq5+X@!$w;ili8olK`HhBmoS95t6%Ezl}TAw>e>G^VK+010(`T`
z#^B7%7$7r*tnY$GsjjsdLwyZkqsi~Y;XYYE3p!4w6v?_GQ=hE&Q7J*zJ@xhskPt<)
zcu-9cRk#1a^WbO1`efnhn+K^~vU^Zmrr2*~==Ht4DjKQoTzao><5l01q1QL@s?r6i
zPK!1F8E5Kd+ND#yIlcmArBF-=JYhCFc|W~?T~K?RU=PEkLv%31#njxpqg*S6*DW?)
z#cC)E;%%Ucc>YoJL>s_<O}*d5`{y}4{zC~HshDo+1T9wITfN)Ly2(``SU+a3Rc+&Y
zSM@#vK^xj^a8%Kze?1kH<E(4C-lC8cQl{cvVIX{KtPHYSmP$>Ye5T<}S;wJu-1Mv>
zOk+}E2r>CL?#eRj!^K!SOI$r=?@PzUzjT%k1c291M&B~(@1~EPVLgoPq7)e}U5kb4
z{#Dfe46RMeWX&a~1MImmrUQF3g6)Xg$VH$@E|RX{IP4ta1@?UWa%O}F4XuG@b?B5Y
z`>_84)L{3(A8S^#4<M0ptk=Uz&nfmHY~*Snq#P{ytPzbsDd~owd3TQ84=70mA?A0I
z6+x?cA5;g<%MKv_qByU~&)3^1n>?ZHg}d4&Hd?SB04(4h&M{Kl?1%W1w(=Oi#~Mw(
zFBMl2t0i*XL`1$+Q+Q=N#I?%e-r>w4Y#XXJD_{#}hp~lxY<pW@E^Bz1wuS<acDUF)
z7M3ctPB2#wE2a5*urOPgYr^i)%L`Wp^-c&L{BsMH8mxb!Gh3``+X;(CNDDb*<xhLQ
zZr_xq=+o`zX4N)+|LV4%k`koS?v)cHK7TNIIra43k*rOM#*T_zzF{O={4Z@LU8o4{
zTkfg)H#nRRjlfPBCNg<<$urUi@S8|6fM*8<zOe$b2NlUTq3m+pJr<N++PJ^i>1)ZJ
z2!|k>D{>Xl&>1q7+zHeG)qK=Y&1suQ7E%#r$Dtc{GnCvtlFku;;SLjq5z-%04#h8<
z_$Sk0iCtI*Zx-Po+Q!998A-1Ic5SgeKI$7TldKE-MVQt_Y#M>4nJzcxwnNw_-LNuU
zo0Q7*d2;m9CdF^2lEOqGqesjk$R>xsk&P0phd}y?p-Ik0q1H;dQ#)J}MoYTjPzkn>
z!!j;t>2+Aly)!$nBhFD$mg{hpb@#ne9Agi2LVQ*XBtubWCL6MZo(QhftQA8>bo{iY
z<C`I;AeAh4{Mem+MMd^@qbxR4`7#q`B>WXMDbRi-4=H7K|Ie_IVm+86cDDh5a8PxI
zvgR|Cg(6yoFlbP&5*?sI)GSnRgZCmF)+*HC=#FrYCS``RQ*CzZmBL(D2v3yj-3lD7
z5ertP6cz2Hrr#0^!uVg>B>HY<5}8T7hoF_%4uLMYNb-LZN)wX&_{y@bjv=+vonwM}
zQqQa3HtaulI!&D^GST@{0y4R(sR?r>^?v~!C)0?s1d2d?iOxRyBqTaL^{!qn@lwQ%
zm#s_C>n_Avr@IIFxH_9+Umw6BlsJ*(#JQR=$@!%Wy^18KR8dj`r-CfwQE4BP>VQ)=
zcEcjuIRcU8C=b}|V3hp?f=+tR{so_|fST-I)ziPh)A9$N*Vmf?glFyMA_QyYp#xCb
zCs<Hn=nIDlLv2Ww5RT4jTW<GBspfsKMBbRMK{$#Ci$iA4c`}`>+(MXf#9-SNPw3i(
zYR-_oIRacWwOq26k!~R7ux?VV;*YHEkkqCq9NEQ_WIA}?=Dz0?bBk@7)fM)>I59n#
z*OX&Nu^T5;rkx&XEGM28jZ+qzP<A<|jqpzw!s#daVWaS-R1^|I-Pc2-v;{XQAsAHL
zN_7o5&rTL&fs+P*l-HH=D}UN3{N^wy{00XrQ?!0x`T+iDT@2ufPw|a8(~Qi;W@Bm#
zVmQtQEXeXe#-_n%oj#LiujwPCtRLiwmOjO4=|L6WSg0EGPF_IxOQ)5CjGx}=KxAG(
z_)hxRMg)^Y$fYeHa5QY=n=lL0B`ik<WYeh4C7a%<8IXZ6SQ!w$k|K<eZ~10-IwV8n
zKRAF6Jq<4QtE$0uG5_IH-?}Bc0mNvfLjETuxd}4#Uvs9Ig6o%ynKv*=aR6dw*d(Zy
zMhfT!7FeeVR|tS-1V`?J_DS4S(=1r~26MMlDwaJD<#LK$o+_SZPD-XX)|yj9oR}48
z0w?;@9K~hMb6l5)rZUg*GHf(09H&G6JO{hCFZEGO->^mAKP+T{5Zw%$58;^fzQPL{
zCy!7f#1JjKM?{Ms-=j(=`NYO&C(mIxW_}-RF*6Cw82wq$sy~lWgVKaN2EMY4vEy3U
zc?=_A>vuWc<aB3S4QDdQ48|J>yyU8;QO%XXcnfr#OdZN#aMIXVu7@*3+|!3AHQy;9
zde1QU3G$~>c9hGO99aIeNB_t$qu-x{y6oLhIqOEa2chl|)ZKt5hB$fg(Z=xe!(f<&
zz8hiA%3<l*9``SY8TTvDC@tbK<u(^(A03La>{`%mQgDr9ASAf|Gz@}*u;9bHdv@`S
zr8W}Md!Bk1W>lJrL2=d=V2s`IwD*;ioSPrOL`=?!{k>(Xnr<$BnFptZ;uSg{L#9HM
z;|)}pRRB98PdCVezy-SA1TLvU&qWi7q}H(>GUgTBmOmBAh~;OG**r>Cu*tJnX2N$v
zUkMfjUs<A%s^>N#UF1aMKWwNEINc>fjhqpiefJS~$yJA*iI+gf$<!eW!bxLWkd2Uu
zlStCDjpNnB;3!y-PTfIw5WI4jk#Af!>h^`f>{VF_3^|TIEz~D^30lZg@7cr8N5#u{
z37vqha-kZmt4<%lh(2AF+NIoseM<%nD3&MC#dcQ#T&GU#!F~x>mIK#6$N1{9I@+Xu
zD>9QZ`>kApE6z2&2OABD2#iZ2E|51a@FR>Wmh2Q-%~rP_L}5j(d}pewP>3^C2buV2
z9yDRCe2RS}gG>nSAvu<rdz<Cn0KCyjSR<=Uk$|}Pr99}#xb9D|QFbmG2W1H$M`3~<
zF>2W0J(d}~VGW8o_5i!`HR4vXP2<^wDfYL6>&ewcq+~7uNY@`?bx~#pa;+}P#ExRD
zXLXT+k(AX%e9u=G&lra%T3w{4m04Z9N*;3_>X3&xzIqb&wLWK<1w}FV5>^sV(<wsL
z8N^}5s$L+RkWeb`#VE1o$_$X)bo-J8Rc2FhY49nkRs4a~y)>vu<g5vfsTVwkRljZW
zT&@t!zY3^{#4f{b2m;L{D+x2oSALx^`cUfVrp5L%M~|yD0DCfYx>D(Dk8GlT!!rPD
zMouVAdXb>~z=ZXA(sIICPa#tB<TJljLAe?kYAV@d3poB13o{D<HzR9}%yXK|{n_Zj
z$!O(d3YSIwR)i#X<<>k@l<vxLY&0!qP(m77JDo5N>XDT5A>`%V37w{;n$YtXULKC0
z(a1*`dKE@q5<HiYmy<z}qu<EO3zGQd4kvw^h&~EXax?!id?GVXPb*{Q52JN1;Ypbi
zTsK&24tIz}8d5O#2Zu5D4iHN)`)6sh-`DBz=Kqg@75UBoAF5XI1FPHo_mRqR1Ge{7
z;O;<Qxvf$DS`i?>TcC-@9>s1Pw_wXW<Q3%>Fd2(&n=M$yHZ<Q(g(k^O@WElY2@gZ3
zE9EAn$g*@7)|_0C+wcd169e6b*@Hp7Ot}cYAD=W7+?dh{7F%_=8i(Hjv=~Hi6A*mZ
zphH{63aHJLKe3c9l>D#_6Xa;D!+#QQLo-E4IvQ(}K|j|F>UTIYEPpExBi-XTBM&*H
z$FUO|O$((k(Bp`Aa<c|PgF1|4L#hkkE5&ku!zp%Q9+=6Sxd2*Z^kxvZjNZ(4syf*D
zv+`4d9afpbn4G{X@}MVK@&as>oh2irq&XM*^Ht)l4c1MW!7_7Id6v)Nsw%W7Ju^@B
zQ<w&Ne*vw3+(=|k4*&VQpJLYyt|whsq+TwjYxCn-=3~Nzl~XvE3o8|~VrIV!%N77!
z{Co!8Pv&)Du?BZx-;Ph@!qU^qxUg4tTQIf5C*}Y)AA1Q7>!Nm81s;|85`38iZho7E
zHPS{U=**Ox?Qn*d&0J5f_z`U5(@m)#N7A>i(4@0YY)b^VLpLgZ+OzM2z{X^=m%hpS
zUe$KBA9RzHAWu`D*!~Y$_`#K#KC_*@k$Gx+LJcKNlu=@{<THw_KG!;7yX-^I2-dZY
z9mvV&v%i==fPV+F7{Id)8sC^AWbF7pD^bdmOhifxn@V4IMore+rrAi@6P_}1wqvz_
zPb_fY@E`By#7tK9GMR}-41U+wt!Ixf?%UNflKl?S2j!i;3(i-`!<<8YS_(Btzd0Z3
zGgUShCns&$aj0jYnURY_!IX`^qX27~vnQA)k4^h{p*ha(2L7y6bZH!$7Mf24l|m{g
zQv1&+Aao(F=bjhy*!0;qk`bmb&AumBMPg}H6vNrY$m}ULlbPo-(pu%msFiggx;|B)
z_qgmYKA4A=(x-nuHky{Q05Y9^j{0fJbQOw;`ke0~hVY$y819SM2civoCt?+&L<tE+
zDzD6pmFd#&g;v_7mm9urfYO8wU--&0T#kyfw?d`Z2Z2vY4I95jXW(S52Qxr!4P%5z
za#d47=82A26FN?&BZWqah<!Vk`e>N2bIDT=*e}IJkq5pArwTz;xUIDQ^n^zgk^k}l
zDj`9|`T|aajKSIERCRDfo-sLcA9QC5UNTb=T(Jk}1K240tUZlur3!wYk>80Z9Z%02
zO@Gfz;KM_C046?sf+&`bnBW5<w#<C6vLJ&qBah}mPx9k0uu*n?7<+XHAV=4v?dJK%
z%;1?ifV~NtW!wUvw429PsiX?N3%#a!LEL6fv2P8oCnq9OGM50PssWiLk#;y&mP9&5
zim{$73DGrWHxIt&Ig)cX%Nz+ktxS&O8t}<zm2bH9J+(Oy7Wgj1JgQj3Z)Z$9Kn8;k
zzl1~yevX^#D5E!8($h!S$MrZopP>ts_9ExuQXqP=a!t=@JVUjOKe)P=^)xk{)idi9
z>X^7e!P!-FwL;UIVKAaD8HnPRCruo76?T9F>zT+7K-o$KG(G`AMT6UF)()d6Jh(*A
z-n&4SwtYfgXCgZQ73E<A`b9<V{v}<n$!|1a00-AnNAZa=x%9L$TIyh>Hb1}QJnm4J
zO5?~&P)={t%877j!lm}@lF*W{Y0a-P)i-10ZP^JQ;Jd;2kT$;;J*eM|XJ(Gb%TE$-
z<b>^Wh#1#~{D-Xx-y%d!T0q+yOV@;VsJ8KgPq-$`O3WEf5hu&re4IJPgJ0uLke4kp
z0Ac`rk;qnS04WkqsVy7tQT+9q0Ds!@-Owm&lKKAh0sKj3F@Pt@jBiY<ZX}tXztkzn
z3D)nBFTG=%=AUzLu;-(>#lZCAQ&QGT2QXXa^V7t42i!Cf(Qbhor%Q(dGux-ATVtZ^
z5jXD57QCvkPwv%+LWB}jziqldmQHs+B46XcWm-`A=kx*mvMvVj$U44Bko9dgVFX3`
zMR#1*b3DJ%Eq2!qPYus6qX_DOvWe0L0Kiru$!FBhN(a_YRxv<7N%(GaTQV+6A0a<E
z_#nfQ0#;eLH8($gM?uYOI-qH!aOPsFv?mB7_^Mg&8@?_T(A3*@(kBGKkngsgN;)J%
z+_u93bm(cwNWX3yTo+gEw6De9iBrFS)sBl*Lf*(H*l$ineh5>ON3h=jgQum4oP{zU
z`kHX;bwHApiYtxJHIVBlVoJdViq~!z%GevPnagCCTm_#YphYt5Dr|?1GHheSWAdHw
z7=BAS@jH@3v{Y)0-H)7}Vjs%PaGs!>UW0Bu@#FmhQQ*f=`xkRvQ~Y~*s45e~4`HKe
zDMK(5(wEn+wVd}tvF{u0g=_iu(`kuK#GQC)@qE9$(Rp9)6xfSzPAnkIj8m$FicHR*
zXU5%JJh~TJ^)JGG2}%<d;qaB^>^PR&S%gcZjx?QTCD*X=`?fQ1vMU5LMlQmAgAhrs
zYI;q%7U8}N9VgR~GVh9reT#5?G)!28^VGW_i$E#D#hI#uI&w$S`rHi&xH_6*e=>lw
z$ON%qgcHn6J$kxi;_&__sOqvU+?}`87S?1zKybyv-5zX|T_2o_A5Byl5B|wvxJ5;o
z6e;Kf>uIhHtO^`^S{~GBiSGckNHg;W$B+ce%(0wHeAnhdPjc?1*eE;aa(iiEW}r;H
z!hQxqopoW4!!$s%1jL?HVJ42hW^g?@N0D^7IG(B@<eHu|{xYMP-bj3pN_udLlh(Qg
zCCoWVQ`Yp5<UCvcp8zqQEvKiI$(A3kb>QPnuxEYPj5%hTYh``)_fRW)5{M-v&(GJ%
zbJ<(*#4ISaHf?iOpYJix?vDxJrJ_^6l|m!`<m12y({V@^Um2I-BGv<{Rs3JqPF`Em
zuJ2;+as5WDimC#eS`RC{efi$>wE#^s_Brgv$*+%chH`f4ebQ#Jxf6Q*3CUP^vVr`o
zR3H;}K7R!o*%_teozLG)AHbhR5d(N~BlyM?K_e+mU#Lt7*y){(`A?mml7-o{1SzRu
z8Y5dC>L)}%XGDLRh?62&>&lsi+1)Suy7gpBFazR~Fnix}?k{~^u+8R;gP#FNMvCV7
z($~2#c$#bEWI%lAYa+AzfRZbf0WntAmF7T~99P!Yrh=p_!H30s8kn^?Tijl8L%T~K
z|2a{Bqo!nf_2%Z3Dry$97o)sQv1>Am9a0&;5w(V?e5F7Z)UW>RQsXK}d7Xdp%%vBf
z&kyd-cN=tXb)n5aoK`?uPg1Q*W-iWBE3G4GOm4*vAG_ndIPhb4+&yS$sELDTteIX-
zTQPPMmx5R1l>+v1Y_aFiMi3!Q)yE;jbu<s8GA^oOqiNv`3_hoO)`>!qdwl!R^TQiM
zA$=8v9r2Y>J5`n9AKZ}{STo>xA++jGN!<pe2`MRjWtsKVl$5sg-fv&O%jqoH4q?13
zt^s`~0he6WG+DXQOz(z{lW9X~CPkROG*cg464FebdfObnE4>-JZ(str?X@ZNWO^tt
zJvo40Mk)ejH)CKLQq^Tk9{m|~XNpxadl6ibJo*wg%0AV0!uRW>0V{w)Y&6v!wZ2!H
z4ZgR)im&H^nON~PB3e3bB9Di-Ei)@}W`%x{2R+G>f5%4IS(4jx-L*ZdoS15WeHg&X
zoE4(Ldw?R?0dS-_vD|@~Vp|8-lUX4oT`rENPJNjbk_IzZR!Dk?ij$tK5Ro(`D}?WP
zR_JP=0nZB2)5>IpUIHF^t+8x5p`pG?&Oum0Mo6DWnGxtLQ$FaH%+p3jshAIXwQ3cA
zY)$2ZKoI(}L8Fp8JQpN?DlJcWv!=p0e<ny%i#4#D70U#@H5JH&Owb#lQPxb*sq_K-
znIJKMCliEkOxr$uCg^^rr({cNYX9ZQ1bu)A=#1#k1aVR%t7kdKFcWmUuUjJlBkN)&
z$R}Y-%mjU9xha|_6ZGY5xXVN1KJ+z_*(;#8mC6JehsK2(K?9F@ptYzNDGPLy;QYWW
z&^f*o4`|qMA#AHWP<kb$WZA#rs8j4;#Ng5^ai*0a|J;#U!*u?UqO*|)Y8rW<8}I_R
zzC6%XLA_%og8bEtbWxT>(CeH;kiSzswvh?)S5@O<&CHpg@f{=uqxesrYvtGow&0l{
zP1naE6LfYSNM$T^CN`QD&cHHfg4mld&=MPB-KC-fnV~hKoF9Oo_NRiL3VkJ{g7B5e
zKKB+Bdw0@+RM0`Evs8^BQ$f!s;F7DFUO=u?(3Q|}GHoaoqzKcO3hJXvLMq5p&rSF!
z#pz20x$U(rOiBe62ha<1D<c1Z!kaM~-9=TGEfw^7=*|?YWcDJsA{F#HY?OVj?c%8*
zVa1$ekpHD-h5tQRwRhx!oDxDYkuDuW!4Sl7nHiEZA@o2V^dw_GjE%B0CU-*U4>AK~
zDg*XPXf}L8$X1o44n7MVW=RNrdT>2C1(9^QIG(BiWI{;VP3d~2Hxk=~q_e0v=}8C?
zNmCL+_?{<(evD6asFt2qCLwh7(QZ3xcEGn<>X$r*+8-oGPs|3b_Osa<0ZL@tB5z59
zJPEiR#cC)EVq=+HH=;WFa~8%IMugX5lql6oIhgIIW!3*OHpX1lX4Ptq5!SfH!J-~q
zdNQsGYzpmBxaQANX*#iK?1q@D`LvUk_u<2Kjn)i3KJyuJ5qX!sW!!jaL$)s!GV^GS
zpLZH2t(Mpbbh=W3y-#*!XurxYPf)@E0nvJx0po)9-hkeSJ$H+EUbZjL2aHuDpY&QW
znq7kfO|h#o^IF94Yz$j)U=J!_)14n-e<W^Tf0Wc}388JO+`mt~p!Wz2$}P}q@QExC
zJtbHm0WjFQ>WtKOT>T~9MG=pM4OqnwJ3Z8qH^&DT!=SNb3pCW#4mfhM^||*6Pw0d5
zE$@F2=PdMny)zv6L6*ljqQ)BxZ*@)xfs}4hvRIm$D^jiEwL?&CaW*Ncfwkd3)HEks
z{5FMOeoLci!+r(3Szb%?u2jg9ER7E)tw&e`I$bGC<I1YEGHXL_$ilo<(0q`E*(odx
zN|$3@e6N(qv5(^b@O{k8yp@)vg)O*c`G^8Cc?v@_d1H{o2`r0}QY{f#Ez2Llpxm;2
z0iVdS&{L9S;Q%kivRt_sR%**&TZUTc=3^&X7p^R-DKUewpd$MkUU&b4V0k{>{dcO>
zYQLdfQiwFD*4_|nqXbC*T>ezki8T246_)umxTX;M-`I_#!Oibk?2gAoc%V0Y()d45
z9Y0A=`$pEYl06EYu9TkcmrSXtSNToLQX04#{Hmb4S67=y^9xsYq8fZkD5T^0yc7A2
zLcBak1qOpFD#>GK?IcBhCjOIWfoILkM6!pw1bRT@p^n>Uyb*U_9xBSb>t1X$E#~du
z#ivO;SSuw6G%@&tW|88oRSKs1@;tCn%6k@C3`ms91SsN=F#&oZRUNzrku&9ea~||0
z>0gPBvXkCaqt0e(;DYzFK&{MRnMv<FD`0Y5a}n$`7*#J2Qr5c;MFW^gOs@^DCz+1a
z%f)nU7d*>eGV3j;s&o<38;Pug)S-%*o~-xl0o?S@0$~mA8@?Z($Ty^?1m93NPs3&$
zuIID36wGx>mGD>%za6*q48%1F_s9(h;?X~`Az6aYxaURcCR`tm<Oi8&WsMB;pq%q(
zfHT<)l^Oj%q*|?lgGxhi!tp0}B~lgikpHE!3*_tlsiH@IUsKbPeG$8He9a~1rT-=s
zvLr9m2a{GD?02BkmGVLd$-4AOpZEiE!^j<ZPoEGx8R(&2eRUWK-=qLqty%Aav#M1a
z9F-#fwNjXGHy6o^g&kE<bD<q9dL7wi>rY8P`w8MQ#eS4o%tYd1jp~g<BY^A=6#uFd
z@#eXDvwXDl+HNxnd#8F%wp<;6eC74)*R8w0I~TQsa#WbBH40&60dE46oZ~8pCyn43
zWSw6cruhkH<65w&8`X}51^7r@p%E^CfrB5dpdEDzLA%+7(p$rJbMi%tP?JYB(eb8l
zFf3MGPukyHEkj4p;XIrZLf6=;3LjvtMfl}aI2B8SRCMo?*LPd+nHN2_>_}p0_cRGM
zEo`@%bteGx$ho3XM~_e`@a{zp;Qy1?VbpSwSI_jx(`lxU<3D*KTebmP>^U?BGiL-I
z2YAhFBOgajGH^k82jGHwg3ZB!PsUjD{5*KcfahFnG%f7*;8^o4G0FR7T&A*8YA8;`
zDV2c6PtSu0#V8j;i$Powd$ADVj4{eN8G03;F4er|?vr*ke1VOKQKS`B^zV;RvaE~(
zlwxHRpZLlsKCMiQa&WO(37?=<Q5bm%F^IW}Lp=?jwLT8?&89-kn4_awt@;&5qK^|}
zY(mb<Y0iJB8BH<7uPFTT#}Jw}?5)_16GLpOgIg%a9-S@FPkZ!U>gY*vf^S?sd07KG
zU8y+1l}8yDtoBt!E*lgFv;@ru#sT~35?NUCk{-YE&QPds?i}%Y`#D=Fd0-zyxTe^H
znMFeS^lOOrzpZJ%k{Rs(k%xxTt9Te2O^ca4*sC~`GT0yp#m-(+5afhUe6KhjCsqM5
z_=`L!kU#O~&?2Khfv9HmCq6?}2m5<D6Wu?|gP!Ej_pwoS4sAw-Tclludx<MW_rwV9
zLh)$jv0X4uCTDx-bT=Q?%y!=g$T`{WjQ|Iog;`&8RypyF384ouZz6w>(=K_-f{7VB
z1Da*sy)MShjN0A-sA<FI@k&YX*AbbLQ2{+Ell>?`xdcCTbeZgzS}j+yUz#B$(EW}y
zr+exaL*xv1q;JG0a-`{LWgO`n8!h_0T`6kPzsq$c=D}go{SGWk@UowxGyP7dMcAx5
zTX;d^BwdjS{|ZH-cQC6PF-6W_{Z@LO{LBWh$DFar;%a)|Otp$1dcrqQs(X;-Hp+z0
zXw5h@?7JFadtU{<0^C<_lkj#$jQp;;CM3HJyCGNoUYRzG$0eJ&_0|_>+AqwjGdDsL
zY3u3P2KH1cunCtYyaO6#y)@yT^a1>rCWrw%mnPsFQ$Ed06QtOCtjtDyXJh`~ot}~<
z-Lx@jmnPsC*{;w0Z$v<6ME|7;oD|9WT~0&1G~ri$-5Q6+WnH{9!6#|<r3pkc(iZ*8
z?;d*o!xKo)zsrWWyfMLtyQVM;p|_O^OwUSG;XN6nu4xTQq3ePWg@K{#GY>W!@ST&W
z06M#M5|%gGwP3Ce3m>qaF&DrpMeAf#g=PBaWGmEf)z+(Fn=3`Y#?AnB0-0z0CzB^F
zgW0vuqzwXRZ{oZ-IFicsQIxau5Lm`hXJVsiVF(9Dx|f2bD-^jTk-)$j6$ugkpbw!y
z1-P*lWUE{a%SQ_r!oNXdf#=<d_KlJQ%;tg2_?Q94FJNBi*ol2~0}0<#p|7N?1e{@9
z%Vu9CFsX5u7T+vVQcsTF6;9WVF*2+M#wFs8$rli)$yH5DnP*!Sy9zo^rWC(efX22l
z-h@ZgC9eF3jpdPHuoMh&te!pcgpw>dyisDq&=>}Wql9fXO0%1wa>lrqwV-Y$N<-42
z{|W~O72Jpi7wDcUIKCB9(A1|;@64phr-+qY1vIqVqc+z`;dT*V$e3qBMUyey-bGb2
zXh(i=F|OE40htuXKd?w4O>^-+hg`{Q$GIr3cK84`nr5ftKYRMLW4yz)pBxOe<$!$>
z8}fjrzpjFhSDRv=$^#;#I}~8JCE^p%I3p_%t4yr020*T$yn!vd6O^iqmw>pq4#nPX
zl!1y8-h^Vz#C57f;Z1z`t2{_czC41B6m)=$^(n7-3v3KRtws4hmnYxGwwxz+Jp~t|
zDpTycc|bGyF$(<nCN$2-55y)PKX3rekJNc86I0R^$(5LrPNwn@Jc%h%j45|7;Cr5y
z+OZp+C@n=#E0dPGx^px<-UvHS(A^7i^u!F*YQG{tBS3kPlyg+Z`E}h0bwO2U#B%I|
zeF{j2Y0r`sv<$KF?u83gt2IVgeU@t6q8^xWU7%DFsmf<7T=OTrG@aO`*p0J3?c3w}
zuID{x9sMV?WtK}Au1*CpX%X88oK|YA0G+N>uD~b6GD)z?FJaJP!;f8EAZYK+2zV}G
zknQ=7M-}kPOBmeON)}le2by9*W?qYco}G^^IIyo#z$VXgbi~9~BZ(UrA|<|BLeM=e
zX4q<U0tV%#=p;UoDWazYQzQTeqc`*=3~<7&0{exRyy0l5qq2PLWK*=tPZdh=2N@#c
z*raSSycs$r1XKD+$>M36p?9cOtNj?Eq!1BR8=+BI&OKxKQ%!m@K=&#v^BW*dA$AXT
zlfeMxusa`1g)GVL_+Zjnh1~_6u9V&Bmsx3b*2<)$EOadBKFH?m5^*_~GRNZhUn<dK
ze~N>^muNHdSlXLk#TMM&d_e)4JfRJHBk=-zqoh?!Mpk?Cbr_V}o5%2p><v97*&7b<
zQtZvul;4L>oG;np40ZLK96j0Qta7JHBQVJ77@nhUG`!vUcOjtp?9RWcR;xYy(KK=_
z4=k(0iWEq!%;D(*r2@$MY(5iabK(M0`lm8Ao!BIHv%J>ltW?O7td9>Stz*~^fwe1T
zeSESj?a$hopk#r5EM~wU3$#OJhPkw<c&Gn`5<B)w$XGbgk(s~J^85&);+E%P(RffY
zP((TsAFw=1QngfMwLC9|LAm8QgimC7=qbtaaDbO$d9G*#i$hwSAcA}A=HO`M-d;S^
zeRDW;qRHXDYTAuJ#!hzL6RC0S9B)#kke%T_l#GySs-y}?x@x*bwO#F}DmWD!)j0`Y
zkb^rr4>ucPjTcC?Vb)!&>L?@yH=Kn(Xyp0&?(3XZ$*!BZD4Mo?2!PGFeF!1u8*T^U
z@;SK{60g5a8ZmgXMdY37xcK*Ir2_%r^^<WEal#(^{pn*H>(EJbWV_(-EWM0^_Cgr-
zVm?l`tymllTZ<)GMLiu@8^K0#(=FM}P_|N5(NzP|BChg76=GVFH9R6X?YD;K-VVw6
z^WcUZ$d{S)Hv%8o0hk{T`3>_kp_FznH2Y#d*$4*bD*y+#Kab!O*&ljJus=d8414j&
zp-!;as)wac?bc;5LC+gz2eJXd5-iafdh43ip<|FXyDve1T4nb9|3@Je{@5bjJbhQS
zjqiWLw;jW}uH10ke{ZWr6URzzgqEb5i(d2eGlgWbdBPrSvTl45=%>Vh#GDjKYPI@3
zOQ#Z)*;Fb*Y$`@~N}I_^%|iB5MAT8K-+;1}QmF~@EH&$zk|<KJ-x88Cw1Sl#fP(cf
zBeR0N1Z0mZ*r(wWDOh@183lXIVi*Oe7KckKDO&*!{!n=(Is6h-s}b|+-W<I;ZoL6j
zp$qJ(e<*e8r)$)!Rom5`v(eOW)aj;5t(>M$U!_n?)Tg`)o2qk8vnBice2{D!6=BY*
zQ8f$MO$f82QC|pUE2U9=Vl36^Do@=Q;zYXi3c>E7b*bzCbg738nRV%}0UTVH{yIL9
zE~TfH(WO_yol&s;eyC5wn2Pk-!?>w5_7b${cI}{wt{fFQqKiR)ieL6L|FGcuFz)CF
zRonP|tJ@tFbjYbWA5!?`(wx8VG<#e%C&HXnb87yvPa@2Y=DY{WR!VdBiLO+eYebMp
zXTDD`dT5;~I{=;OVL)b``F((c>&$<~C(@bpv@$yLP*iP)L8a6Q=AWnl-+*8V`qK!A
ztPUM5y4ih+0lrygYt)Ie(jw7xcXULxUF`wBi9ab0W2345c%MJQf0Dv7S+CADo9?NB
zg41m2dX)yr=8+=IS@o*sB0CddcJ%5xC|fDLnjq3ryRPyW-xey;u^R-_ht{#O1JJP^
zW@Of}hXD?*V_$|(q+{u6g>)?3#9yvLehqG)T)KBUR1(#IV0m<`)uF3n-Iu6i%`#iZ
zR)tgy<F!^)+tsdPP5fOQJ0OXATp^jLVyOq4tZ#5yEm_0nNTMRdSrx2iAv=a3I|{Z0
zWsie`HQBR96s!rd*b)&4o)4{HWe1>OJ<Q0gU>^WDxPpBUpGd*dQ>ud1tC2X6ndS$M
zhz;x2fG-SGZ*v5NU}Il{!*cORxgK;nzST2)&EfjAf{UJ9xT;&EHqt;9tCz()VX<O=
z8E&gyZ0r{cB`}VFmfphUz4*2u-v-r-0GGW-=!S&J>Qr^3Kwuy6Y(v`Km3Xw%?6z_H
z);^TT_3^fHx7~(M5tc;x;dqNIsn=kaz+pJx5=K$2vC!$or&XHeZd9vxX5fxtxR1C|
z>BXZj$1~&|eV6n0!|}vI*a+J})NDih3CMiFMSQU42R}CRVM@^VQTRD2es<e+__Z}^
zmP>O%`6#}H;YRQiiEx9+&iQ6DYQTlj#>+$N<E@>r9Ki|i(h0bHd9ep2^i}j07{$d!
zXxf1;r(h33tyK!^A(fQyKIRg!5<rF#`D<OUr5(1K?Wj}_kA?N#p$+k5HK?nfBk^hB
zi5k!<3ZiaDRvL*%D&bsr0s7l^JZLw7R!{>XphYN|z#FVXM5=dZysg$~b)!<)C^sum
z3pO`&qxt=p?(fv#`5gOYDQvf!?Gl{Fuhc`>2LYSB+nC3Vw>P_y-OC8|(u=2^H%=Gq
ze}R0)+jzek2HE-?`-RgOkI$Bmc3=`fY}cv-PQ7?*9WD##1`8oj94_mOH-wE|e0n=9
zH`^8Xq(lqk1BStGTpo@`%gx3-pa~SIRZ6XPIA1#fUPHVs=)#p$x+vaI1EJblf$J|y
zO7MWNQ~(ntY&U{BcDS8NfVzzivR@aqI$^icES*?Hk=hZSz{|Z$W=oQia#T82gZsfr
zM7NhJwGQ610f-1F$K-^l?u)koGH`c%gT9afoo*G?O7k_ingc%I8Slm?7^DMNcfeOP
zfWz2Z1z5hh9UNCbK}1i(Sp|~QSO7t+*A{D0@5SrB{^OB&TPtjpfGi=*#xjv?3zp!a
z<q}ShxKNFvR%iCWf#b)I&+uzNW}5AV18`vF0MzUp=*4GX3jzgNl%f!p*<tSW;IkuP
zYyXokeg;r>TYJ9j41*<lm~-SX5d>JBnOYdl(=gR&u?|B_M8O=)qDoZl9U70PK_(YV
zYI-X0OPv-<$X)S{&dEj;oG4Xm3)MROk9$$-O%(ktokh5bonHjs0YaTlzv*6hm|4wo
zAV@n6S5n|5@L`+JH=r_+5LzGYwqS^Dpp>Fo1oY>6;4YA!X1Ugw2N{rxVJE7J4qPX1
z)!Pv+&V`Vsh)%*-)etty+!dcut~Z0DrEoE*)k{I8(uTvSz>PcOjbY<h54N|&<6K3+
zoCNWzH7Yd__^8Bp+K@1u1_Ob(M4%}_6e{6-r*}IjF{>1}flx8@Hm`n+;<Ttx`4|@R
zXZCrtE58qaI`IS+<Kb+qL@y3^s^`H@5qb|6<}$cre^hMy>APNEZ7I2oydTpV#v`>3
z+>YA26V2lOv%zPYj!&(^oGsi*hG8FIN~hbaN2>Fzj+<Csi+@Hp!Jp0e=Y|pZa})k~
z@;Ll?3jTQ*|NJ5TxqAZs+>3t>Y=%G2z(23UKX>4t`?kWL2k_4;w!@!S;~)ICG<`dq
zzWvGY`=Io7Ifh@Lqc40g{0a!&;mh!zU%E7jE|sDqk#zQz4yiCa$U+;28Ez`3O;QXu
zQZZcHXSn{)a7~Kgx)sA5E5kf2!>j<q%mG99m7$B<jklU}j|69Hxdzq=B@cv&m!OK3
z^|*wZCA=OeF_^21bIrP%&Qx`mQ>bcBSUpb2QK`{RtADVT?Fh~D8E#+V&ANCJ3;>0)
zXz4bCw^N5X1vr2cFm@0_Tqr*U693lTb)drF6AqvhVFGo)_V59f9k7Zwt74k1n`@17
Xy;}kG+gw1cJy}6hCA2!1r<wl;Cet)3

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.json_decoder.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.json_decoder.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..51bb4c49393204d14a4df4e10385a0d3ff4cb60e
GIT binary patch
literal 84834
zcmeHw3zQs3d9Gf&(ymqyOO_yBOCHIu6`+-6JATMAeh3?^wdE(6;E3_;Oz-xzW@jeT
zJ<<wWwhTAHCJlsmxIl8v;~E?=A><x#c;w=M9RkU{9GpM^-vkW8`1l4+avaRdzUJKj
zuSa)vbyaos%<gK1>~p-D>8{uRsK5UD{(q_t_q}`Zf`tq4zi^e`bgT90(Nd*SZ&Vz=
z6E3SX%Iztq9(3;QY`Lp*s524{v`Pp3M!QvZI^hB+QFg1fO3SHt_IARRSUjlK{83ha
zsqd77YNH-icl+Facj?~Fh&vGW1=XPD2(QAS-8Wvlr|>GL486BHSPqIUxyhNv{-w9S
z-y!3H2G@rD%@T|t=(s0@1I1{_?&7eYjdV}Aq*kpvojvXGQaD%&f>w3B9RP($(c)^w
z$I&k>*Gj$*58-oPy);EXEvvMf@t5&Zd0)$!z%uP{X;7NPR~>hiJM0d*C%cQ?4dG4O
zUh6w8f7>-Tzv1i)&)L>&H9UV?r4*Fl(?qrAw6?(r{cUt)i5H{1gg@%}je4;{88O=O
zfwYZdi`wJvg0QbzuQ<~J*C<2XQ-BnA6L9QQ`2TeH|4jIQ3z7w#X;ld^BjJ)}soLs<
zFP~~u+BN5*f;cWs_nq)%wDeY+!fyYbpi^qQFL$>JJb7y-PbQpF&~7=!@m8r`b`xwt
z781t!+Y)SP9^8SP1mfzGg~o&xEx^Wwz{Y`a092+l*(x<%ftBI8yBhVNRIU4kDJO6n
z6~7QP3RDb*a$~C5r~@;7?5tF{j*V)RD(d<!E5~}g3mA48RiZuaMpRX;P?5ivfUeCe
zzH)g3e@CgY;ImyzM^ZWaeUKzrgm7%q35w-LtvyvQa^V-r>>Sxr7^&6^R3U97zNHgh
zY@xTK+8#Sfjiv&E>9_>!WLZ!lZr&DvF@!fozX~P-HCreXUa9SEgiu*TtFog2s=cMK
z^_7L-VAHwf@{;fDA}ryG2lJa)(gooV=?cv@S|e_%-M;WN8`8P{+7*uVwI2jt)9dR<
zxEzSz+62ptqY78xAPIToyOS_d1JhHr9e%TftI9H{0v2??(?K=&pqB||T0b;T%!o-_
zaN>eq3=omX^7t*S;JFYCC6b)K%f$I*$a%{4WjK&D$KBiAL&)AcWA?gt5UT@&Uqc3u
z781;$)2dZr0TQ%om87I}>|EocYME6=pev#kI7^7mi&X~WUO02aM@epcK+lbEVZBol
zl?}<h56FHW5!8u<RvbXHT`vdilH{+13wQAD;Zw5LzclsQO!xX1tk?D7!h+P)`^2W)
z_jCIhE(RmO`8(8f>J>1N#c6Os1XeK*U_C9I9OB=L?dlg4aO<3jN@EJvzD~HPc@W$N
zcz}ind?6x;4k;3pTA;!m+7m3I2X|0Y+zC&$Ff};05ALAN?Ljeo1sL*ZYN2~jCoV_3
zkZ^T=4>WjhszJdW;sxIY1({ii^`6?%mIL;>?h6bKUz%ZpzsltmiDC)iT~Zdm$S(``
z+p!?r#}gu;J%}=JzpLW!PeIK;$;THiyd~1+Taqg14Z=3SFv7o1Nd?szTTfHJCcRoo
zoxRlDnIJJyH4W@gb(xzvbV+q#e(sgV`*QPmwam#@*=JIkDAd_oLVq6iC}5yE;UJpz
z#<&NYs!nqK?9Vj~-N)VjaM?t=RwE08`xcyw6?X&9gt3J%o)YQ-F^_agl))_)cY)lo
z8*wj<H0w&(_7t!^bdSj#N9UPNCh(yrO6^*(6&eDA)-DH5rLZ4%Nw7D>;(=QVXr0KL
zo~h=dDd=5~A{_RvHA_;^Jmd;`*~f(2fpYV%X0(Cm2EtXq^lH6|>se7+!kL*G2x0Y0
zlqpsNXG*ku*WXa8!k)PBx>Bv}T+wPZT7@bTFIlk*RliVg1d-rN1;0H`rQetsOq+qx
zL1KS!|GxxWi$q^Ld+CdtwcZ+uwPlKG%f39?;#INq25&F^vvF(*NW_7UL>hxJrv?5p
zLBz9Yt%7BoH08T^#D}rhVebz7hd>dQyGU`kw~^uM{REg2-a*<ArA)9@67YaU%UCqQ
zk6SG|cq8qAD|6HUde#Hs;6&A_Rn!_yU?uWC#bbQMsuH6o__Kr8aZlIhtQH?d90p+x
zdk^B^Y}xC5l#=oh{D+!XrVW&c@kZrfYNUcqy_3u&I?+bJaDq7{o1=Pwm`B3c!cK8(
z^dzlB@w5bs3~<nXFu>yn2g{`z0ArJ6iwPTRKLGT_*)m!rT^5UMu7Yb{1H;fN)rv5P
zMtxEkb0|9H1hQM7c$DPcqt@IDmm|*BbjsC<YPoZ_xRiUZfmS3}$NLiH^cUbCP?PoH
zqQZ!@gySnwaw)%MLAaWe=}a}<l3z_Yfg8;N;Hr~VEXk1XN`o>_y?>!ZeuogLFDklB
z)SE|UI@8TswOkE4_vm~|?+Iww`$zb5xA#x@5gF}$1O9Mt-HZ6Ua7z|@*N1(DBZu#m
zb~>bmgc#O`*KtjrF};nLJPU1u5s+2MXa&KC81_C7Of>CF&{}>L%0N*x7VU9klivNb
z=m$wr@5As9_rvIlGU9zqcor_bf$eG71dYB&d?L2(rHhg?M6Y2uTxQ$WVWr5nd7l&d
zO|5RH3(i47A#CQ`vQb)=j%WxiD*%tT<e`)Z@C>M7DL~{%E&-Zl{eIvm3^`s7>AG&N
zw3}3-jy#nPte(j#Bi?^PA>0Q5?twuXX-mQ209tA(h=y!wy&Hi#2n+$LBz#|5Z_v2J
zJ)jwGk<4!liELm%X;*--drSB#3YbkbF>um71bm(aIKe<Yu`46?d#g0#T!%jhcPmC6
zujCT23ph7|+<<q}u1D#-pkFw~yDw_n4y9!?$gXfSfrt@k8mGpHd%&GeC<;eZ0I2n9
zQQh!Q<`-6*6e|H~4@W#*la?1>%~h|G{JJxuS><n!xS{)YCBFc975L@dfz6O{{c$ud
zHPHHA^ZOA2J<R2sz1v8Lt3>6zcR?law*-Jm3zvHLn>$cqD7=F-WJ=y790?U_n#QIG
zqM8)p=gb2WAOX>{GJsK}57A{+LUZ0jgn7~`YvOa#fQz6upM?N`dT&=XD-glU0tTwq
z!2gUi>{J4LTA8Rcrxh5ecVwnnZ3%;V-y=*B6;+Rf{>(f`wW6{P(rnmZWS`_kFJ5fx
zf?29!M(^25nr56HC0%bGy@_$zstrJ?QeESk-XsW)BBtKu;M;h+;7`K%dap*8$0}BV
zAgOm1wsIG$4n;_rnI>Rcm1#+P+#7>pe9kZjT-e3W6qLyp^_glevVq=tD7InmT(k59
z3xeE0WORNn@<dA88BrjmVoFM0MR*jB^@2Y#tdse04CVAZvHjklNhbZ?8i{3oHI@19
zJTm9_=H*z4;+t2(M_}!n1Ugf@z7?WJ8v*>%(|BZi>Bw%$GcwdhPZ-wg$*`oAHL1WH
z$D|a*Mnq1a!mTdDF@+9xS#-c~Os;{^2w^AYeIUiKk?d`}h)Obb5FbS>B!2u|dHBaS
z^LJpS4cyA1WR3gzgYmAWkRP9<bEOw#(tAW;V*+;M?1={`EwumDnmr;Qb{5o%05Og^
z{xLk%V2=1I;iF3Kf%mT>0a?%?BPy#{QV%{Z4Z%Dq7{d5bLXy6y=zQct7(W3GYZ;39
z0A9q+6vCKdrUqeDl-r#|7<<yZh`r%Vw#q0MmBnb22q^W=3^AeYVyGg{Y#9L(HxO8q
zp^CSWqS@vsLJ^r>M&Bb25kvG8G$)d!*D4$XLlu9BmFx}CDQRGl$v6oqW|oVF9%dE=
ziTxrEX+&br65g6wz$At&$R#nOzIY5qj8`Lj7}4XdZX^)}nD|8)t`1D}ZU$f3!xG->
z@zbUy@aK1;Pj7%vGYlMFj*w2HNrK;G4d^Cw^jurmQ0%B%(D1iYBaYWD2{J@~>RLkE
zQNRaxfb8_s*^CdK7u5~lJD>2ur2HgwaJ4KLjt!<?MAm~CzN;c?^CN>Xr@Yr-Ge;E}
zEE);XAcMC+C0k^0%G`k(H((tokU@MSs;Gd7#`%<zCk7#71v2;+sU^MP7CoZgk-<9&
z^Q7L?$RK5d-u82}50Sx}Rm}?9B3>4eL8S)9$lz*%45lqnnyo4r@Xu$OueLDYM+pb)
zV8FjI4^pj_tb;Tg2tYuswzL)bnz<iAK9))*c9jkArCFi}_`Yu*s);4p8j1j)O6%g9
z-gfAJ<^jGjXcc@<Oo3$9mOw}6Fk)dBe2fEp3;Mty4tu{gOHWWV<OTwK^LdpfGI~Ci
zQ5L+nyJvWh&R(DAFwSFiZ#@<GiTICovKq@?9KuQz-CGSGv(UYvcn$C)a4-2Va*Mn(
z>9|hMGcJPd34_{91|_YHN!{hx9vy#dKMdHO(7_6e4j8t_)ej5@ZD4M&y|Fy}<6G+2
zV5P{wp<IpF-gLbE$c^o>iE@;ny<4rhBO+1Hfh9>nd%sImL77g7uf(|}rxVTrwAYq~
zV4f2U+G`P#^hHG<BNw!H02<aZlt6nCH&f7FikTW{Pf_kF5!&lb@gh4F&S0ak?#iP!
z8YBV}{Z59E5Gi9Y5l(AMnCJ>pbjE<azl7$*8KBoG0oeNlR<gH38)aaROE`(^WfhAh
zn^h9T^`$&?5pg|C7;C1Vi3{n^B`%|~a8xf|hjO5L+`o;)p+NQC2E#R@dRT&@dOyZb
z1l1#-W&zbB>43feBHTJ1FxgeN$liqrASIhJ|IYh5cC^4zK=+pPo946`-CGdVonMIo
zN!G(r8ldN{l>H}{!Lvu!ha~$?dKH-xg7K}5XwHxE#r*QtU^7P*<J)2+M1%324wY;%
zzVpo;sG$Safdb>hH{#;cJ;ry9)RNwei>^`c7~fTdc~Wm`jE}NGzY=iV4l%w>s%C}l
z5ig4vpHc&3jBibZ@yQk`4R5JXzWp=JSzDB^MR;I`^4((|q*^ao2Wd8tjW6exg!8?}
z+>;<9OGQg|mW}kK*`i1K9yAZu#FlJ5MWj!qdvQ(gd2l9X9_d?$iouXRYI6yS^a6B-
z#^l&X`u+jMHtc=XEImQhIMO$-Qu(AMm;Nf<`!XX6q?CpA^`6Sd=kPHA_I;nq{Cjz1
z&Qtlmg_S7S_kZAH7T8CU_9E8sK&bRI@{qh|=*a#f&&UYeCk*Q+WLVNNnN(m7_fZOB
zBVvI2gbu!K(E)?|xCX+Gi8e4daNoM6Nngjz43<H&1}kk~p5+)y)(H3YlFG*w;wa&L
zFSBNk2v7Yjh&_e(odHd0Qu**z!r_z_|2e?>E|G>{)&qw3?Ia}Wi;BKRF1+tDXjsco
zg7-z-OyPYgW@_+0MY-J~-q)k%MV2a=%GYD7u>Q*9HrgZtA)T5bCIRuonQaLnts+IU
z5x@QxIp%{K^nMyDll<2=L1W?!(Cd_d_Z`4W++3#2P<U4IV3ELe3QdN7utQ`j4LE)T
zj~H>L;T$rWSTFpzVq4AzIElIIMY`g>14$b8!aVE{SG7T?d^c3K{5dgl&`R79m$3ts
zJacJh>gVAf%R?}aIz51u?3bZb)@3volYnn#xky~;M9x%`@bmmUq>=gh8K_|?KxBcH
z0IAfnin2t`*cZtG`SOiUBoPJVdlL-T4EbUS3i&>Xp9thjKFtE;dn1CU^vozYMYDp(
zg34HG7iWTAVVl`$?73S&`1)*`;^3>4`*|ZdJ_}i~t5M^cd=!A<7eMm*#lQ>{|0=2*
zer!Iafo2F>!i_g&N|CQM79}HdMNs9TWoG7@ep4PZ*ISOw992|#vyl)Ds=N^@*`ms4
znLAL!RICF9s*G<$t?nLGzEWyQ?<|Q9c<-q4<%D@sZ)#MTvO({fa-<kh<&#v+3cGM#
z7ExuT2F9rJFhP}#c1+q@K_o^6FE?hI#kTPBKEez;c=^rdL8=v$b&zJmIwjjAKmCu)
zT?$gOR6R|v*?@DJQF_4ne)FhJjLKGF1e{fB8Q1ilg+*!R0q2#dDhzO@=9mD^KW8i8
zu@5*uieiJD3A6MBo#TM>F}3m&p*_rKw7{Ql>?zk&Imu~m<;XlvI(?j~!ngCN0>`1h
zj+Hi!Ee2Kk27JuIq1PK&1gnMab>wAv|3=69be^%2Jv<vIp6&S~GEix$O=>zvrYTLa
zwJ{*m0w*4`=zt;9TsL83M;n+MWP0U5(qA$&gCWz)vC;<Sou(imaDXxS;!=K|M)>A<
zFO(}0RjDFJ38FsLnolC4`UQ}G3Zgy*n$kej_$uMON)E&vK-3pVLoh1@gQ$O-kfbjv
zx+%FJ>K)LqmZ1cqj<}hEs8h_;K-7wIH*$!2CRH%9UE!=W5B5x^#AvPv2zGLY-~`Yb
zCw&&O#eRRjj1<iVt)t(Yn}2`qLv!M+(Ce81TQ{+iy^R_X(^S<`PvV#M6=J#D*8ySv
zmpoJxVctd9Zsrb4Vny!c5~fj=coJ*8hUGvsxhEY7OMz%!1H&~VnplD&nty?x2%<?o
z%>tr%MXgaHIHqvDQ8&L%Ki>w!RP@y?YWcg0wnpHho@%L9eG?$FcsbXOLZw;`UICY7
z)hDWx^jqQf!XCIdt8g*-hummH4+O&doj8I?pt2En4$ry#3J6+n7R&(Vqfy=PPv;AO
zsgO=8)pf115Y2T}zKe_xfhE5ck)1!;HD;Oj&)AFvOK#7tNK9km(=gX5n_$J_vmsYW
z#W+ZtdY+{HCq~*eNaoW}$rj0c&fI|-|6m;`kW73ds<(h-F2OlU$(9^M1lq{UB<-sQ
zlWpnO2+>nBV41X&Z2V{lI!*=I)L<s%gnpgj040K%Pg1eOs&kUwUZwP>pO)on!@nju
zc8-~2Y7({)YDHL4f0pWH<_^@_!a7iB3%=24%W_l*X2TgX?6l@)sm(dlnj0w}6=dR@
z1ewCQwYPJLF1%gBQ|nSKi4Zlf&4U1=pkN{{lTzP@&3y}KgKp}Di^20u-rlu@bd){)
zC=Jq_GU~2^=S=AqgeOEdtu>l(mqgHLiPuOhyg1_j#S#xbXyie-u#viH&3ivq8TQNy
z4?-9S`>S<wHLP$S2xSl3RM0QU+5M1tKyarWx$UU9A1}>G4lZ2lx0}sI3u4++rB?8J
z?FL>$i-#Y1pAyF`F<p>z+K^?J#i)#O0gj_Gs{6AD3(|V3Dw<@_KN}e&9y_MfTIsSg
zRhQZN`;Rb;)bgQVB}NBS?1>rcJq%06%tr^lg9{Oh4p6U%0L@=yYj<XJ;Idu(KCKwn
zg6p)>?sZ|Zy5Ff6;C80SUoYTg%h3<^XP~7>1-$2|CjZh}3y=qR+{8S0ripNV#;CH0
z0{rb2({O<e-gP$7XidQtXCRwc0A#}ih^FHd$i2o+o!oo9Wyj!cg9Z3+Gr>JK?<nl_
z;pQI>DUpZt!n6Y=Uuf=?v=VL#p$=^Vo7suiU2lISG(*hMc3Liab9VIR?D);-=qPFJ
z(BL8ENw(*8M;N#8-Byn^Z1r+t-&f*4dC#}#$4VQ=mcyhUgpbNl!${^Y3|hAh<`&TA
zgmBb?Ax~36L4h2i-d8dJwD300RQMG0XN2<Sj2`$i0Q}jk<&S{R@93TneC(GWIsD&<
zVjnqtpS`|AC1fb6BNBfhCI0+8#FN+#(~Lf#{9Hmg_y^0!YmM^0B3Y;fe<c;AI5REI
zv?xK0oMfx=M-D$A2=!`8*Y0lVS_*W%n$RVAu)>mvj>r|XAI5?>5VMeKAZ!xhQ><&Z
z(&BIIc37CLO8bh}TUC7QARLt&>7=<RJFl6^6E*o13%Xe-?PO9kR&b9HNI?=6;dgXP
zI9edunVA|!I5k%0qDjKBgQfO_^OX&tRLZ%zi6P#fhkrb+_=8w!1A~%uF+`lbaLFko
zkSg!L#47;@@Qr-yWomLCNv+x?0(8dfaJl7_aG@VRSm1Z+;i5i@fSX@v)CWt%--<8r
zBlk=f+IZzXwBi)XZ9iyC6}S_CxA~!iCRYFt0y1C$IE~Zf$>piw3k=4C)V5ow#ufch
z(d}T1OX5K76ePy>M5*VIF(5GEBh~^HV{^}fUzG}WK1{S1EKd45KYS&w{qlx78SE_1
zvcR}mpY?u{tp2vd1hZjh;nr^wrs|7|d$L^N*2ke?tw>3@HIip4+?o=nCfuqhH#N5t
zC6Yim#~p(;m#H_d1|+KY*BQdb1^;uXMZ?}-k)qz`;UAuSk+Ou>QS`Gg@~RjWBv+5J
z=djT!G~j0ERuylmFQ9)`XyWy%e&K)%J5aQT_+p|3#xBC4N0JBmb4-<)8~!z7Jh3vX
zhm!MOug_YQ<Olc<K~tKP3Vda6WtJdUxGA7tl7l{7YED0Blna}$o5}F>MaB8*{RE^(
z?oPG1?(<A&Sj!wTUnysjrgSlY!JJ0&IZ5Kh-H^y6AYo0(eluaYJ>B#?He<~7-U%xh
zkws8y!EXaP-gTDzMUPs(PBo=?8hfZHcR|;4F_L81eH&m%<S}JiseueBq^y*&N$=Ct
zp#2YG(DV}rTV)vy=ucW^G~7pu&RBX%CzsZ;6uNg|r7ZV1-ns1((^C}aAaNn#!sEiY
z12!6P`WPidLp_KKET8f-(pIc!GtwOB+(+`Tk*tjW-9qP>b|AZRX@^-o*)RCw{Z@{A
z7mf`_(pTiWkTpPauPeQZ0ZY()m#+h9G~b1MnuUCqOIXqYy^y1uOqcEGMl{*af=BrW
zwtuNO1U4l*t>_ZfZgX5p$+5=sAWwFS`My7NYUVW2<!R&0Fekb^8PyHnJ<k$ds5+%m
zTvj9`$c>itG%`QLll(<QWd5|4m_gppv6*8nt!2fEq<<?dmg->d093L~YZ*3opbnn1
z4iwR3e3S6U<HVlaX)W8Owj|mGR8;h^XCSR*E8(Bior%@@<wT4I_mO7ZSxjrW$;>e|
z3D?nK38@zPw3cym2Wo9$9VoN~-)OX@>$H|>sZB|Yv!^uy<)ea3e3Kwk;I%%j<(*P3
zi4Zlf&4aK`Yx$75Zwn@-c3YusRtqITno>s9Rj{1uoc96P@^P#rG^DURY^2xwI5bld
z(;{$Z!g5&5+6~dmPm5#7+$29{9?2Kwkz^;V&;d&P6eO57QQ2iNVMV#L#tADK7aMDG
zS2AiP9fSWc@=BDK<pPn>dv-?4k6}c%87(UQ#hmw^0C#2PGg^KHt%CBBt5m2%M3N?c
zz+9}%jFyW`87=HezpPxAp4x~sz&mjzSk+-~4gO=BV?eT4=B=kpM6rs|^J4x=?!+9v
zo9I1%<z-a2M)K$u|EX*NE7AOw)8OMVoxkFdL=_fW7jrmR0?Va6FbKo`JGBgo<NM*f
zOJKPHsUG&O%R@X#U}36(2`tx8%C7{VhdU^#V2)J|N^dzUWlBn^TT(D*<&A_C$vqVu
z40M)Q&I+YEmTgw<M!VZ_VbTiiEM8I#Nh?$j%|%)629qIb?}ZkGv!s>tNKt#jJKYkF
zIVH3+Gc_z}g<2?c(Iny6!6tjc`Emw$DCOMTB&~cd5C3@5%3oon4GbvKB&~Q4rDp7i
zIVAf-38gHI%yO;+iT7$^?hKrTBo*eY&AaTBZ(2)E42`aYTB+=m$KatRZj7%)ukpCd
zPWitQ6U-)@MZ2FOOw|_^w_3TfQ+^B$Yeh<;-H|*~(b$wYHPKi_x%wQ>lxPDJ&UMdV
zxMli{hMz>?zLp_wT-;fH%0G~zW@9*i@>4diN?HKDMr)Ol=cjChrZjd2U)kH4%>0z|
zrRMa5M!B#VdoCHCzNk23y<dY6ZSzwugod@uAv2b8CYdLak)LvHHzYC%^p>A;Yd1ab
zoiXO75L0j5lE13_l$7FWETW=Z_qippZR@@buu}4vvaQr`h7?j(%Ge~&Px*?4?PD1T
z=sH?vAbg6N$(cI!`GH(o%koq1$4VKVZoF9uFHYyDi0-3hW=fB(#LCrUL!e=w$-^|V
z4u0A~!<a50b93o}Ss7V2O1zQEk&VJ}-ALAoY!qVgjoBzzf@Y)q07#?RDCE;DWTRY6
z@&g*ppxUT+lZ&#=Iv0iZ(QPKm)#5m%9bS%8R_Jw^1h|~jq?6~26TqBw^7E)}c<;PQ
zI^hzP4uW1Th>AnRiD!{zA?YRqtCKEU(s3GbO@}+jtnrp%GsjxG$tgzKHK(WyLnYgE
zlda|s)In|5fg;R{ZxZfx59ubmq_&cB?;@ILdy2{>gnv?Z>VP-pgnqpcW4SLO&CX`J
z$%L6>Y7)lju!Ix{eY#0t?m(?AtOJF%;2Vv$be(SUHmOZXi~<ZUZnI_}N$C$L9~ETc
zn*^Bxul4CBAChWGgs6FK9)xwe$*0VHTQD)Td9qG7p(IFC%BZ>umQ$UxPB(eXNUt&7
z#H`)9(@l<;N76;Q2_2xsPeFod6O~;S(@m61Yn*N}h-veJHzfnQutye)B$xb!CnRT#
zr2E3?Ehn+qRd&|M3m^pBtPvF(Vg`E8fNwVQStHAFfGlf-`ZXj~;it?I%*-0OP@gqI
zMV5K~Ne?YVqV~=}F%NsESxXyf#&b{RshdlLu!&LgV!p^x%oo{7HETy6&EokYXJaLr
zFLEAy{Ef~RxuFLJVZ?opmO%nqHSh98DoFLPH=c)hk}twk1M@|Sl=7pUFVd!@_}!9%
z`65k1ihhknu$JYEP^x3uX61{#wcBxFz6k9sUQ7-7B2*8}MOoSelObyFm<8c1U*t8U
zs6F8ibW1p<bI{Jr)UbRJYN5<UlZ0aj=hzd@moq>tDd*-UU*vz~;UCWz`6^c0z>uC9
z%NKcELKBZ_z6gcXqH|Q{%^4<7S<6cdP!^z8Dof-DJk&&Q@l|3cZ45BZ`q?7vyoFis
zC-RsH9{Rk*1he60G3Q?rrs|7|`>0%5A}>J0T9J~Nb0p7HmPksRnwY4fTt$;5GPCm|
zVthC^{efwgX*HU55(#@EL$pGy^<PQRV<jWx+%?JBuGe0z0`iQIv!E%BO~F_8HYGD7
z<SMB-{h(1UY<6BrhNmwo&Q5PN6t>L>8H2J~=8)M*Ig=|Rq|^<GOaexOo%v&|RyRF2
zpppsAv1e`y)bs*N{;D!UQi`Xseu{G4XLH0Bt@}2>O37o&wo+R&q>!>w#wK}2$m15a
zk7WU%b7+|b@MUTyXDTD)v$?dEWrRG0l`?$UcsmkaBxi&$952sFB|WtfD^^d<fNuSL
z9(Iux@b4^ii)jI}HJ28c)sW?a#G9lXxgZ>^jiju|1z8QlHQ&U8C1@_lPw^AEiHCfe
zg<KGNG6_FVq?>FI`;$p{FWu&YTt<=%cq`_6cP_^B{iBO^u44zM%zYBb(AuOcl5_~n
zNg&Ijy7TPh5iSDF$s_S=`l~j2@<{YFGAm^3GaM0_|KyRFLEcH&jFbwpS=!|%bB2h9
zFolTEi<sRTbhaCb)#QF`g-W)$AD5UrP)C?q2a1?0zDYRJJ>-78R%$Cb6J{~@<9fnB
zsXKM_nQ}tEK8S(UEu>i?_hUIdb57K&m|gq;N8@>p(`FW_#~hGxSjWZxz}SZ|F3x(&
zci2M5++P>bZ#s-TLdq_S(Ql<SiKE{`82wHxB#QWVvQW~}eags*E+#;-v+Nl7CyAy=
z6F~^PbM3~vKvc|#+2}2Xre;0{z5xfwV&K%ElkjUFV_aqo+;Hjv7hGl(yr(uIfqUP<
zF%Ns+VncT~s8%;o=14cj!ROb>3DKer(bI)M&o^RG6yYrT<j<<Tits3W@#YWlZ1F8o
z243$cC;U6rt)Jx4EglJf5-ZV2_|x$5H#!o&<iw=+qPKjAR8;Y9g$*8K5XKT0Kz%iX
zgkAc)i-fO7s)xN3^AJxW;f!*Ogr7huKiZM-Gbt&jcS{OJ!Z#CA%%W$Ja7uM7+pI|V
zh24$|BjL2Ocu6%x!l@pbi?V>QpuI1U>1`&QMZ%vWMePZHeYb>Tpqh4OriMkrsf98Z
zO%jeB{K%egzMMt#er_V+hw|``N5bEPl{T=A?u<pkU%b|X9Ba#evyySG$9t^>Cq`)g
z2^2CF67N7$n(!6AO6<Cg5tdmGRUe&@_$MSLm<<^Vx;;pksxK<Wg>r?&KM4(MMM{Eh
zkvvl&@sv0<K_NxCIlf&Z+P)lxYdvJ@jaHw82;P+;Y$5#g4pQ`336ehrqZQ}BUZ1rp
z$%Eua2;mT_OkW;^uf$$tG$R>5&J2=2FEythG|Gjiu#n;Di;DBrdjtyG2FYK5vRdZQ
z6c*BTlE{o>6V|Rva!fyNfkY+&qY2LplAqR1&zqo<b&%Z1+;ouq3~1Yizp5a4O7S%I
zP*JY?0C#NKx^Dw~OL<J$R_cii6;D|yW0O2c{)ZN=vhXPSjh5lj19VQzRFK@urL`<b
zK8ckw+}wDll0G&e0{ZfV$y28t<ZC5Xt{xi#4ZAH5)5tnF4K+;j95syT0x~z3E|`^(
zh05byRE|(N2X!M^D?;VOC>f7Uz!Ef6{t+OJhRVsOSqPQyA>n7Zh`3!2+AXI7H*M64
z93br`a(=1xISQIiyA7nfMoNrPQyN2s>#s1rUbvY2L&EGgMts@TsPXAD_wn|Jjnl^*
zZ~uH$H~jFtI&?uRe(4m3lTC8vTU>LY$dr-b{MRCmsKOWKa~fi9djA`nk%IHvbF0}L
z$LfD*q+JuMe*!Am#_FFjcc6~dvknxodVG`c=i}gW?rTAou1~h5_jE-MeFlDUzZg1B
zt!3)CH|2zWf#T83_rRk1FH|gXn#V~rR<E*VOwD5MS%vOjX6Bfhgfj@Wu5flh6eU`?
zBfegmOvMY#9jLX1b)e7|e528puFq-MBegkaTC<z-Q9&lYNsuY<T7OQ1Bh``!QS;h7
z2rvrL77(^Zbl;aWxd+UB3*ma*)JyHwtj}qnBuG=rsJaT4Q=PNUN9h>pHRhw3wHqRL
z`7%`=Fps2*OcgpniJyW5(<UmrEM}@Gm)1B_Wu4v^Qz)UPbW$t7Y~+oY$Dq?n_i^%u
z-3uCOdd*H^`4WsIwL&O(ib*UgKE)jN9)eXNmBjMyv9Sf@KanW!)esyGPqpyZJMQCd
zzjqZB_r8vc4$Eet9uP^P_zYX8kELvue?##Pdrw<y0n&}xEXRr;O(gRpMjl8eE4k&-
zE2f)HIrnJ@gSQP9;J?k~TFLh}?<nj9&%RJEO*sX;)E*y3KLahq{_!hmCDcBsLz}>6
zc9w#mwf&XQ%>GiX?QEyzqBmzpZ_bY2z*PpMwL^o4sH5X~V$x2x$tf&G)NS?1*mw(G
zLNx8yc{GiuZu}f8Z5+es`g8D6ow|`J+SYA@x#hDtAse+^$kUWeP#!8tWZep~9{FT@
zC6B})%xzf%_0<d#z_odo+cHA6<BUASliU`j8kpO1Dy95r=eAr(Njbk;QZTpWTtbTE
zoeFCqB7ZEmg;E{MHY>MftlM$n?4zB<E3F~7h3cWXC`<8RGDPiNWkER0Z5bj(?Fsj~
zB^*;vXlG_>SZ)ioQ0AgZ!jZGTAa>0xaYi^_%>ZDfoSU26mUrgiAJ1(GvC;;H6TO(*
z;uOklKWI!9oI1JKxlpYaIMB?ld}eRh8vcm5hNp5^*y5ae9<90rV0h44aAM%^Nl?gC
zZp#DElqR<YUy19Mydg;jWPd|*TmD93f_Xl(So!}XOw|_^H(t4NTfPJhYeh<8<&iv7
zxh*MiYGS#Ha>r3_i%h-I>XVq>{Taf>m7QG)@<CGcSjlbqC5%>_|9XAaswB^Cd6p2a
z%x%F}VlQSZlbPGH;-$&v^n*sZu=zR&l}tc|IA6VQ!hmgaTUJ5CTIP`XN;#7>r5U*`
zr*}gllYj(lCi~6IZ8@)-p3j*v=BCh6?*dEys&ZRWil?!MigMlOr9|s^*nJz|Tgqd~
zwo=cK8EBpj2`go6lIOPEXVEIlXF$KvGN0idQq-HN+?LyOX)VibIf#`q+}wDllFn_}
zmAFyv*t-(s?Rl6+*1@+y4U-W?d&_hInVU-&%*x1eTjE_*j@%Xw@kX*%<hFbh^wE3_
z1eTz=EuR6>Xl@Jnq|a@MNg8o?hC}!Rw5=6~>>)Z1--XlX1^&F`p1HT<ZrR%bUb?Wy
zbQjZ=(|rYCX^TwE5BvQ_yH$2N?klkF!f<7|-D)}Ypva!@35WQTTD9(U_JqrPCkU$b
zNxu`GP-&FgLAB<OPP7{Jz^PX{VgKt8$n-n+cGxcqSM3Q0CY`#|Dg})e)E@w#&GCcM
zR1>}|r`;5x?S1fdkbP~pYVd7E&?pzjOXYp|7P{+$akUP1!Zj0(Mo@1Aj_`79VYtEv
zIJe%ODo#%{T2mc(vJ$Y_Y7>%trlz2(4^0l!Cr-^FPl^Ysfm<Y~EesiYWEBv`B@c#L
zPP5SpiZy4yQ|pW^3J2X%E&AFQp5RPZfmcB(X#2cSU)Wc1#@mz7-pT`|RvmZ+C0b5t
z3Z4uEty0-RqB?hnE35TpJ1CNkAe8Ea1MOg9>jhi=DttaU`LgJ=T8&oGE!8VErv-e*
zp_YSAxT?_(lCAWSRyyGZ>5bHc_Y~-4xRSOTkAc@dIr&1W9Ii$hd|;FdEUE!bop431
zRG(~@CLQ2-1->tG>YZ?H3zWB2DOQ{&=m&IDC5+_}dEiL30x4L|M0FZ+p~97=cF-us
zkHSS&P^uM`_EfVNDIPGEJg9=swd$oBif$Eo0^F_pDE|0S(|6jHMsa!yRcf^}-E8<y
zQLIU{q#P9YSN$qg(N)Dt)h~_LkdXQW2xCvUlurov72yyN<HHmv;q5!{ZUrk=oT%1-
zxV@clJ$`~tAOL`6K*HEs1w_8QRXPxT1r<F3XBB8peG(M0R-LK_o!tw5@Uy;fWz%UE
zfh`Wq#xm7Kd@>HdU@zkI2n%iyH2odhwjDTdV6=HKa2xf}Mr(3g#o50NO8VP6;X15A
zh5|K;finey3P3Q+;Q7|m&pH=4yRtP=mb$?waW^OPZh}SwCVJHgCP+7KFja#t27=N!
z%%V!*cE*;48$c(giqZ6phF|oXs3G@+tNnxZpfp`{tCMaG{s;YCQfr{<5BXCim}tM(
zhI#D+qt=q|^lP!!D3=&(H<aBHOd$|Foo~Qp!a}IMuib<$R)SFqssZqy+JSpOdm80x
zeFAiV8-_J#D&TCUWVzMO)Hvh>`oTfy%XORpT3c6!gsgo<XR1`K6-$*$%ORHG?r^bF
z-`{~nAzVgH1k6cLuWG$g1%(faG)PL6;RNUi)Fl8*393+WCj8DJFk*?P7(gPAp|y$V
zOFvGF3VFU1AJWg>7jZ550{rpA0el=BY?8|4#U9_?bf_~z-n&EYPIn;eXA#@TB=-SY
zgy*`P0tMYo@L?y3p^D+su&?S*H9%u=dEW9{==6kdohKP}aApk#`+z!#o&ZR-*PZYt
z7XeRd_-FeP_;ViqdA<++Ea-<n&n|^OzrsHc55S*C@y`=O@aIYVgSP>YixbG12;|%Z
z5?Cg|=XSV4)Mp}$73C^ee3T{#h(1BH#miBti%)1dFbtsoQ{#|xnkagr^e`$tkSI35
zdnN6!Nwg0uP%FSCZ=Kv0d$S-M1fyDRw9#aCLOAH8Rs%f+8em~vx{E!(7c}$tJ2!w?
zXqH-FXh11_u;<v}2q@A@|DX?6gg=hgc&<>F^3w#uOI`)4Td!gVg<91Q00*u31zc`n
zQ7V)Q<FHojgEw{OqC&e4Rv8B4RNy1bAXuwM2`UQPv!2_Dc2)!-eI07DZOo0huQx&s
zqX*R&`36gHA_6yWzU+oQSM7N<nl^Nq#`+>J%lrB=Xboo6^*D}U?_u~#heO_gUN3=&
z-VN}QGm_2Jn6b`lV{XAx=2u~1DG)nWXzX`d*khs5Dv*Vcuzz&$Ch$GbV=GjF^FF+-
zz}nS1SO}cypfK)~OKsnQcW3$qzftgA@OL8iPtICzM-IPF>@O*%R&FshY{j%NWMW!!
z)t)P_jbyYWmQg=kT`tJzWc->Tl$Qu>q6$pRL&Qey`y|=#$W8Vi+LFDPlihd44L4j1
zGn_mA9+Jy7b*Vu2xfXO^bUCcd`wC>0?skUv)JBqj59a3IpV{(n5#yg%gBqM&gGnyt
zWZrQxlfRr>B#+pNgwJH}?imwF&#MiK)Aig=Qm?<Cn~C4GWuj8AmuvOf#uy$Kdi{KE
zk^ItDBuc%0Q6%W17@daoCvj&=^-C9Va|4E&_;zcdhLvxp6p7$66!5a@*sVK{-d%0<
z<FqaTGa=gdNz<@BH_@ZEM01zH`!Hy3Y!Q%Fz5t5;!Zj8|_q5hC#`M%il6hC>X5Lk{
z%v0J`!C#Ox#)f&vg<YM@Es~0@NR*SfH<9$b&d-j&@aEi1ywjG6O1%~qCrPhuEa7pX
z*Z1WX$)DJYM5)&=iX_ut_-t;GJk*m&1b+eV>=OJ1db5}r_tE+T`TT`%<R<ztTcS1o
z0@AAT7uZ#OMklGKwSMOPg@4b@ydT>#Pia?$#Yxf_8|EDsc6DGluhZWTHM)2DdlSh#
z^%qXd&BRT%OjPQ%usBJ2ZDR?K3%$N1w@7x{iX_Wlcu^!g2$I|_z9F|rZth7Wg1>-g
z!V3NZJ%4ph{DpRIqFc5^Yy1VIRpl?R1C5U*f8mdEGw<!T%v0J`VR4c)#)f&vg<bu4
zZjpS{RwPQh+M7t`slV`dxtaK=EfbY`E%*zPUfWp0<3g{0kXt0*vlWR_uU`~NCcg0h
za*O0wJ&8o{7x34jg1<n2(>f>q!b?uhyB|9dYFO>ZH2wn8s`3}ukHn89f8p%h%-d$m
zJf&R~7AHw#Y?yak*wt%ti)6R0NR)Q9H<8R!f5FYoM8}qiO1%~qCrPhuEa7pX*Kf%!
zlEbzlQR;PXBAKUp{r=oc{8L*dD)o9Oj>1cN9skCOofI*)9DYa@u8DpR!E<&=?(p*H
lG09qAUagmF?F#%1p)rZSUKqsR6~WJSAa}R3hvrz1{(lsx?r{JB

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.json_encoder.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.json_encoder.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..4be9607f0a6a941fcd8695d302d03b119c797f0c
GIT binary patch
literal 25266
zcmeHQ35+DyS>9`o?%kR7uH#MO@!Dm_*7mGtW~0Or&cy4)aco#G85?_nh-m4l>8_rt
z+UlyNj-44h77oG2D?JIr7M2r|NY0_e9Cm~dwj3!E$VdbU1egedgd$s52_gi6xkSYA
z{qLx&t82R3yUs3P?aWlYddL6%|9}7W{`dUI#IJm5Z3q94?GJjU<!&zN?Y8T+jUZ;z
zZLbw|4L6L>$MYYLAC4QW=Ia}Q7x^tCW;;-$Wm-<#H{AGi%x0;2XgR@>Y(Etkt<dt^
zq`5g^PMTAv<Azyd6QLD4M&=XSch3X&u4s3;EsXBRR1ekmoH90P{KD5qV-62Gypm1!
zbU+Zs<^fh~CLo);*`$PYh3#=H*N9i5HJ#P<F!ZgpD8vkDM!T(cK+sRM96bn7i027c
z?~14CcGOE>*7VjH-{?@Ch)sq1I(>@G{pOsx&%DOmZ60Q)j{SIG_`$Ic|Kv}->%H$j
z*7H3(IM&uf9Zwz0G5lkIFgPY4%Y9f<HG(BO@Z6>$5V7P3nA)``cSURF4mM%AZDTWo
zHGxp`I!wj99vFKEes03g5&X>4w164k;*)8xJw4s>V|H`bYe$apJ}nE^fZ=0yRMcJ^
zrm{J?62^LD-fS*raPkY=;-q8fVdNXlHD7mIW)3ZcLXNoLSPm_{t!2U_Cg-keUT3Je
z0F66=#u}@EW%PAl@0l4?vg_{j+)%gNK)X+lDVb5@ys;#B^3eA6QtrGHXt+bL#)^3@
zG2lQ_5!T)h4!WeUrKkw3EeR2z*6_f2<XLVq0DZ8|*>Q<eh0+Gcsb;yuP;NeE?;3*t
zmhxl7rR*r^fVH#-LavpezmiQmAj$Bh8CY1~#Fm*l?8*EPjiU=%aK`GLF}8x^ck51I
zENF%s5HIUN%d(E2@*@<rOrv$C*|Pjr<mkRE)E&p$Xu7&9-viGNo7s+Nt-Imz70*Q%
zfk8YQdVU}a+D1o@9PxRcvt|R6+Rs7PUDpfsg6w6J0_BR0)oaSFlOVS<9JjLCX4hE`
zdOB%>>7H*u>YX)WVqzP;bfh?Z@)BA4eVjpS5$M_{&;^x8l3b}dbAsJC47({z4p%vk
z=bs&n=LXvg-dhAxIaF+hfaJ8}??zU@n-7`~5z-${k#2sBOB&3s#%EWY+H9VM)g+3=
zd2oNJ3fyS|SHL<=Lk<S>7t6pr$iXD`?i!)tI~Fuvh7^xo8fz?BVnRA3;ATPHc~oF?
z2Rp#$1iUo8p262`S-nFHE%JzdZZM+RPA}H8#3#c4CNTO;m0nRC@+DOKJedB=N{+MH
zyyQwI$oY-LAB0nWRZOcEifPh<{4D;kY8Gz)EdBt%y#(N%O@P~ZT#bRJeCOXB+`0K;
zDT1i$8k@9SZU<&~Yl6#cHIjVGkM_5NN28U=g>dt%?nFj@TI|Xo>h(yb2VLC{e<t$C
z<UB_-`?i>^F;IsNrrCi$?IOwc^#pVKvQ^a7@`bq>+Pin|*fDsL<~RCKO4R!AA*p2_
zsP4U-VAT6}k{RtGEvjZBUh*@zu6m4r&dp#O!eHoe2y<nLj_)JQY`&73Qn5Hcxm&9z
zS4tlH7Bm``LU&gWP)Z>+zz9S-RXxloM3SSAL#Nri+0{p)TJl{{CsUFqOt*SM<%F?D
zAk0J61C$d+4ln{?&Q%XH5@E#X;}B+l!T#;1Oj04COj?qs%;&0SR8E=CjzF2OR1Z*2
z896{oneDZY{k7_WMxu=ve;nHE&A1|cbb(qWKSdEmz2+(M7uEA9r^w4AP~^4h0m>;N
z2S_Qhhny`n6Y-Lt$LrO@j6@GH`Z)C1U+@O|Xi`rrsM%zT@^jj^Yjpi@PovSW3g+tS
z0m^A32N;1ijp|`WqKz1R9NNI8Odaz+!c57piYm!_o+NivPo;dh93O!s_f`*3P7*o5
z2qZaOJ<LcX5u*=HlI<%#4Kr2-Dx}YxX>(eqSSsSf@PlGjClA+Kvk}mabN)A*6yedB
zy<>=o0Yb~%k4I#RO?M*4;SQF0o}7ZVd6=L$xf4+7WR7EXsQ^U_fk_gvspq1CRUb%<
z<i-begs+#iWj@04Dn(0|R1ld$>oW4TDtYn{o02V3_bM$i=j?L@+7UE8!)+s=*W5%H
zJOd58ez;NLgiSdXe0<%>w6>q5ktp7Oh`ntP*eQ^h`kei#0&w}bDni{HLbj{7Md7Kf
zMS=Dl>40?mDe7j<j`63;hh~$QFT%~kQn|*fcM(gD?JuHlHid$4tA|*bWB|4oCB|mY
zv07FbpW_uabl=5e4WVtxRQAWIG2j>Ijm`7efk98Yzixza1+r*vzf5yG%r4y!9I-m*
zvMP^@mIlJ&_E%{(e0A85(W6)(Df{0_EN*qSw4RLJYht+un(nqWE7XE$jWdBEO5~CX
zlBoXp9VDXLeu*HPvwu$lXdWIm=zob5sTAY4V7mnSFHs9YX|02wjF4H-HmuM@(Ao{G
zHOJ7T)=RNHUgH$gFAGfn>8O~t|AbmxdvZ6(R648ApXekJea#BAjtJ_9rr{D7p+whC
zVI|+?`<Qa*Y1mIRy1lT@MXlV7qA0!=ntG^VYf?ijUIU^Qu-OqVXdTBxIogt`xuj_)
zI&~FQqu#}aK@hb}3}<vP9C`?>ZqM1`aP^FK!m^hItSQZ25j6YOxHOv>M6<7gX4#+@
z;Sr39T@#Q^^P;d9amuYnh%rNx8f_xn8t@wWbtNV^!@~Iom0Dhx2<dw6;vEm%dEx~2
zZ_uy>y%lH(Z|g(@PPpQrDYK|iTe_=}sDUad?JuF_Wj%+K#{VE_{P*M1xHgE!-vf>F
z(X$+tU5&O4f(5N@wdfBC{Z<r&UKgA}83pYOp+RI2pZ5k<Akn3^<}}jE*mr3`OSB`t
zx16l&(5quh<}B<m^bRiRST0s5TC^fRK$?Tr*f1?D+YK*rFt{EC235RYediKmeyM&h
zn9|>{Xsgimpq9{tgQA7{84TNVu&0)=#s9Twr=0Ykf|I^KE+@?l;G~c2f(s93O5%J4
zK3dUN7PJ$Bx?6&g7S$`X8s{A$?7=&FzzGOxaLR<xLF8CJYk{BeOj4g`v;;k)Wp%6;
z-;aebfGD>hg%;{aLZONf4*__W_=?M*t{0%CepY{=<y*Z_TZ3KSmRt-0M4a6=c#=$z
zV<u=P2_96`Ptb-$qNBtT5WL3qPojwb9~;odz(&e<dv|jiu10@&PS21woU$wq4&XcX
zB3Tw{kH5fl89hb0ERbOkC^{wXD4N!(DfnP*OM`XsK4><u4*o&Pz>(xa%s1At56?vr
zwwgldKu@a0I=4jxHyXaBJJy4o8^L^#P$Ub%l`u5g8pN26jEt?t&_l-07BQcdFw12<
zg_Oc?7ZiT$xD<ZtAPRpI6c)iyqKwWJzH6)l)n^Sd{)}}4Rv<SeIW2VG*SG41V^ETv
zSlPlF(Yi)=jjRo|prLrea0@8`)Jt2)38HCT4(C8GIgmnkkYb`}tj0?yG3uS76VHVK
ziQFc`4>i}=pp8(753)fyE5c6Va)&cQD}+|#IUO)uh!Yca^uKt9DSsRh{BhH`{4qCx
zKR&WkXdbB$jCMAwM+;1DH()VhNjAv#Zze(91zPjz>wG<odJZ`cr$9I9TM-!>M;0{t
zx2zqR*Q}0qR4~I)`nI}C#9mz`1yV=Fq@Jhj5$ey=5Lw`6bB-N2yXJXfp}yrs3TiQ>
zEdqe|i{VN5I2H_P9Yzu?BZwr*780z~K&U4oc_?(_#X!ZYk9=}Ld-aj0_^)Mp;wVWa
zJ?mav01C8-!4>Z=uoU89({LV560(_q7@JmvQ(@xrO_kdV-Q|N|g-j9qHo?{e144_3
z*dF4F3_8Sn36%CHVS^=c#%aY!3bwLsk{=rhG8u(SAbUdaC=pLlQ4;Wi@@lSs3{=6h
ziEv<#{NUG5KObe{)`bLM6+V+;4{d;GV$bK-LPn<OS|@V3Jp!?S$OYsBnGKEuJw&dP
z^q+-^0dwLAf*VSra35P59KvTtBt*zLD745YV}pwpZlLOj6xGi{?U6GD&4pfM?-VZa
zb+}BZzq*=)UshLBY4YnAYy#kfi#&zQqI>3ofqk*@PV&nxEbF{vn8}ewiHBN3u5{Ww
zgdY?-tCn6;Mi2yCdhN{E><lj@&<(vRZpyEUu`->_kFvYus%gw?jUhIJ3OT8;`9jlc
zBh`6%^u|ka=zPj^65&*VXmeGGakYPBr~-ClJ}p%B*a$rs9>QlZRG#q@NvmZ4Qtsa*
z?}^0Zw0^ph)(!L1=4WzyGb#ZN`J(n`lD6!#mu5P#!WGVGP+IZl671~DB2O%cFIRoc
zB=PmPJjC+d<uUw1f~8V_wS33;xA|%syzmqmkUMIBWyreNRn3shevaTGw4|%iehOt`
zd)0mjriJ}6{K}Evegq}M?Wo#6hpOgz`xDgSP&p6tv~=vRN?`cD)29e7zKLW%il&Mx
zYF(roOE*8jZPYEz^fsXTl}1X<^<;IVf%%czBy_aDMKI0Te=R{%t9CGbq;|gy)&<A;
zUnMw);al%mhSP2qvb`1laX^fJ&sfFjC)u=^om{_9rH}_o`DBX{JadWk@1r2u{#QYn
z*Xd8fMx=<6d8~Qutv+DQl#PBkyP&m(uF>ZEot_hQUCFePv*xwM#SEXxjS3}!+k9qp
z(qmR`q&KmN;koOXu?uoSO6DrzabS;F4BK-Y-?x@tTPuFtejaPb{!5_6eu1w;+IZei
zz0KKs@rSGGU0S1{`sq_PxMrX4TY{M36>5fMF4EP5F{p@NRVB|1^96V+SDbxB%<o1%
zzrj`cR(;#!SpXstp=8gWCk1dBmfhL6Z${ttb@)||VZODW!SK%cZ4eB1Zvrmx`Ha8E
zS3!{wsCRWL<NA0n!CGZ4N&75;Q{i7cp(sSyoISk_Hi@w&Q3svVD$MGWk}mCk6btry
zysG_A_*0PZ_P=Gykl#VxMItsP?-#Ghd^xh(H2kn3VI?wjYINBCJA&uhlYrZvLWu%~
zy=BD<PhdxYhX9Q>kJ#4*1E;d%%92Wo$xFW_aNC;#WoJhLo#$IffGO9;N8_sOm<(xX
zwnLF7!3YgNRFb-QTS`sc&mG5vRLOfXXHKj0qfA)Q>IrI;74JD(p<l{TO38ARBIO8>
zA{zji4#GsHWCw)kc@`6Sws&QZGaq83G)X2jQY)bI3!}^(#GbRC=42Zz$}$ut91TTb
zLDuc6ewRo;XDiD<DWFPuVgEd-8svaUwn<2qvod-5o_#yOMUEbKt%{j@QZ|b^Q;1^-
zVf@F`gr8%}yid6v#ZouL0iGro12Tg|Ci#qaKo)M}hs5sO8}%CBJBHUNMjq%ivQNAj
z{??$3KbgEJovKwOGQ~1%n5pObwu03!@#*z@tCMQNBH2*ACM%7Lj_-p0gT;Kculk*&
z?WKgf#340b<RUEfL2;sxm!yuTD#6i2uV7T{ny5ld`8hHBzkrb{<&kwUzdvMMaxqg(
z+y6mGFSwYmqU@r$m{*lDTjF5~Sh%<I8i6&8hxvY?(li+hg*{K%NBP|riihgjeOm|-
zi4*gbyM)v`oHS21=iYEX$vUv-iPUrUk!p%(E}9T#++q7~I4$`6Z<LL>mo$UyS=y9t
zt~p-oOx9TmZ@>L^t>Yt6Co2dvWV~U+JDXEjr-~V!+L)ITqVdoT9nZUAS^MY>Yr22K
zf`&g2-f;Ti`TCIoUydm2=?61-f@dyoeh7Fft`IgQ@fGKeF3QDXzekWqVHgTf;(cN}
zeJfR`;!U(HSv?~2o##%Ms!sdQKxO-00AasOPxsN&pC?b>z!N{`npcw&Mv9P)8)5x$
zep_^`Fl%!E3nHy|jG;60APm%<@|uYXwRN~4Ns1jqM>Whe(mGr69qwAOIL})aG0H%f
zrCOI6Nn7^CH^UCN0JPxY*E7meV0&l_RxR}@?Ks~XFDSLmWR|6I(~O8ynhN(@*eP!8
z4eFqveO6I+QMAuCJVR0#an8$!UR+VENfN*}?hnNdJR?s&iIirl14y$HYGkBYEm{0|
zUqA@7Uj-aOpnaO2xIp7i0|c5};^PXlAHjmAR8u6UzERu%_;_najy_O^y*YOgW!3&t
zM!zqm_}ShESnL<33b)>Z)<ot@6A}AR+|kqT7}T?43FjbNlozVMBl%T1t9ie<TB!b3
z()LnAZsH`cgZ&ueLbQ>&J4Cq&LpctAluWu*#+L6*eI1R8W>Ge!MTukDoBDlTHv``O
z0>vf#DYUhug3=F}l03Oz8wdJV1Vqm!x@hoyCid&q1C*b|lmnz^F^4!zzH_q58ZbvX
zjVZ<-9H;3g&-Qi6uS*w*{Sx7&pjm$dWfw)WzI~toNqjp24_8^wNs^VStVSkAc+Xv2
z!1G*|b)<nN`-haqy+u1<nxW$afN=Wi1*Z?`<;VlK9LkJI+`J3fWy0z9Jn;rRzG@c9
zm_y3rdzMp4czm)kEc`S|I&(LYcZ^M)g51l?YPIdlmZl~d%a;S7_lyhB9yGo&1*pbm
z)OJ#z3wn|t0Wl-@3^HU3E@rA28f(_NNOqcEu50+OyA{BfHNvG0AGI1S>OiO#*yR_r
z&xB0eVZ0l&8bUJKAEMbGwk3fm(4OLB@M6r^Rf@~eNy%Ew*i{u?;%NXOjH;ieCvH^n
zrvXNl1ow@2i9ec4mVLuc;s?esu5u6zw6C`J5w9sor9!_27jdTlGdQtOn&+hr;*l{O
z#2{(QzHo^;hy{f7`G-i9RuYN(hxDFD&|}FYOKq2oKvWu!{KFJA_M_B6L5sO4yC_<$
znqQQAc)3uEE0vxkK&h%7#yeCUK#G;nA|u7By~Ae!hY)1HMo(Oj@uvZTOt8x^a@OS6
zJ&5Zc`nRw|>VUj9AfF}0!*I_haJ`Vg#h;3B;f`XtRh0tOFmGe~$N^gvj;Ig6SY{B5
za&_(uamXX$N?~H6I_{|0EyRYofNgDDPMmjwvW9wc53{*IZFjO+9GHZ2hKupUP0}lD
zpDGdeG_&ad$6XKv$0gJU5C|2wN+U*0w_vnmHpx%7WisaXudv#>;mV5^@dA;JU^8rv
zcm<bf@?nr^<etH6UA{)XgSVN`Yc=U!XZniaCIFX@J0lJvq8#D~AMPYhKAzmkX6Q<5
zH|jPwVKQ`Ml+2Rl)@$P23_rw!F6TsvI@Z&qLw!wo^#F}18_4UXF?kq$bS#XY*ojZ>
zVs%q@lGh1#z}U2aD{M4JfvPmYCfdeYw2uB}>Dmb3it>OAy^E4sh{MVT!5u%2_@Il^
z&*C;|)QVXx3OkFpF7j(luE~FF8g!_=X~H(eP1V3Nfr=YX*nV+_I@8Mp?<Ho33ttLd
z*xv?EvRTnDXE6?gYJE-qL!mLdg60qaQ6^AC$6{j`ak`6R-0KD~-p2bb+&#{&#2H-A
zZ#UZp-A{sH=)&t2+;{8Y7$@PVX0@9*&(yItp^Mq99w8YkEn>SYFx5;u>h_T8Dj5%m
z<pp%$%6D-I0J_=FOMqQBAo8b0y}*dtUK3a1qSh6-*24>oX0|2gl2+I}YXugrOQ61*
zZ7U$V9utvJPN@Z9F0g%=On@c8k6)qsjI7qAyRi8s<%j4AgV2dCB+P?0)LR=Q--}Dy
zlUK0l0a{hy9CsazNJnzQ_?{iF{L2KJ?HRphdg2+w;DVPPI3Cc`@?e@7hP`0<*s+a`
zjinynd|LAS^<!=0>@m~~j>YUMYQaH4izZ!#;9%|1r7K2n@uqj)0?f|(omOEODoKaA
zMhz2s9<GnKjIhIpF~hEdA!?z%hE>!K&G_UrI}D!eHk0L<fZr6C5uamM1Y0<^w%IhT
zb<@EQ_;-&(8FFkNzlpOcui|_h7eS^sb2hOrrAyQvPR{#_^#&|+6r%Q-sD~?B=&E~u
zf4!6g=fFK)3rE7i14=L)BvFA&NAmTqpo4vFtko@yWf}(E{c=?cS3;a=8psrLnz(+S
z4sn9UkF(u|dzNmkXVXGNU`>L(kcVJ_;lrl528J`k0Sp9o2_Y%L3P=X0%kA00Tq&hX
z@?!MXNnYq?8@d7?)u*UXJlnrZy5wv46|fo=Qz`^i;vZH5^Lku3&%Z;f+=eX3NqHwt
z@rI&QLEpv=o}6NsumW6k6F*Ka$I&TrR^FVT*boLiUAd3zX~ez$@Mlk(9iFz#Q=4tt
zUFJK`HbwgRZh%dZ2_C($$-3hfV8mv!e9DnLgZqB?qNWugN=O{3dV-qS5>XFV`Gc>!
zYo3#^KCk+gLSa(7mg}*mM&*qT=K6<b@k3H&R~7q`Uv{uMgk{T%NEF6wZ_C5sAATYT
z3UlgCS$-be@o0QMmOD-oLx6zU0?27GU?MYf#e0)t&e^zSu;oN;h$?TL{x=MDI_8eM
NlflyQir7hC`X4p>XA}Sc

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.numerical_column_stats.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.numerical_column_stats.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..8354d923f23ca27dea7d13303299073c85a8696a
GIT binary patch
literal 83126
zcmeHw3%F!eb!Ojw-0pk(MK|3Ic)3`DLbcMj0X1U#;ME}5+B_8^Vo|s1+^*VPx2mjj
zsvigmeufBo;v<%hqM)BRPD~~~5jE(CCNV*SPU7b)Ix&WrOvcZNGckiEnmB8%{XVtN
zu5+sD8p?0@K5m~nXFt|nYwfkx{`c$lb#Gm}YHAh!7jF&QwR-c|Lb+OPwyHtci#JqT
zmF{xTjCybB?S6Idwq7xw>6DL#t!}3h^x{>JqEf3js-2+OyQvp%!Q@fB5iW@Q>%*WD
z)mu%Ky|%74U0Z)suUMOj*G2WH5g4E1T?e7EPQ6lY6fS8sy35VNwNW_=dzb?<ti3Kc
zhLohHyQ4=mLM120)9o@)74>S{;+c|aMr}<zEvP>juWi(uLGNI9u^i8qqo`9~>_*UP
zY~`AIHN+OJuQbYG2ruDzU9-H*pEgvxZT(}hTshncmM~2>ULTbY;iq10Yi+K!sdj2@
zO>I7Y#om{MK_}e%;_F{_-m{;+x7}&6aBsC7mEmcr-UvE-fx>Vvr_B1WAX5NOC38v@
zVooVU<}7qVXyj=JR(BU`tKxO_W;Hlw@RYN=_C#n@?McAJGvNQH!2f5#|GTk)z@tu`
znpKR~w#)TSFMj57tJ-Y@&ncJ`4kV-(KZEDnlP_Cs`e4*6cWY0p?J+p^&Vd|T3d&Kp
z6O<M^<z}U3F%20^Yz_COFs*%jA95U;-aJ%jE#+(}uzL#FJrmD>l9dm2%I%uL^7!hD
zyU-^Jz>T0$SZZ~s^e~7Di^mJ~DlojhbR6piF&3iZ?VwO@wBYB_dQ>aaqp;8k!Z!As
zBS8VnUk(>|57@O5CF?$O39$bnuCNDdr(w59RU4Gn1)$fDdnrkc0%<L9112p{YTN8C
zF&%=Wz)Hn0E-!+*lq(VTx_V_fh-$5Bp-A?jP;chbpxwRr;#|FC!Bu<D-E}_vIPN+r
z?Lch<>$Mh~PQ~a+(pRhk&jMdcVI6EMc6uXCTy(LfxYTWu=h;`dq}*tf7aPHD>O@7T
zW-Ap|ZZ=yeO3ORN(_Emk!^xkzmrR37EobW`@yxO1#=fv!Mqjz14c$8E90_{Zc@9G<
zhlF#OTzPHcjD&CjJ)R5^YU|>Ke9A4koj02;mD|&$Qj9l(?(6{(5T)^EB%CBozXQ`H
z)?QV+6-D%GT12(m$R2{~%utJy&E4TrLD?wxN1OED_L05;N#}HL!0OXUev^yj?L;y;
zk{}8?jXJ~&hN!mp_Y_XK>~tz;mR#7qh`HETOG!R$kabDk=odCWKAg^vc&gbeoAN?g
zeGnS{yJSLkP;0UBHd=sgUk9JsCo6|1yVlS7YHjz|`jDt~S3Ffn6!p7iQMC_A*As7$
z)=2VrQ#)u@!Nru0K?rGZSj26+j2t$x-!f}R_tX%t2TRq~a=G5@#jD%LA>xA<7<E8E
zOFf`RNuqM+P!NHcQUpS9b9^6<=z4L^m=3Jn@qN7XgD9VG0;j&(7f?KyCdVMvIm^!Z
zJ5b>J`U*4xTbb~^kWd&}(Tk13Zz^Lv4ADO5OD~?qe%4xK5PJ12ix5u_$%fkZYtu34
zc%wl*p+=@ZsLdlK2d03sMHC|GEjOi=Rx>h3TQXQF)-F^kbn3-r7?A8MaQ^PQ*^EbS
zCbcTocE#&ODy^6LRc(%KhasP-K()VA<?l={7$V;FjXD^Sa>GznHjjnj5N%hy$)rZt
z4ca`%o|LH5R$3T+P#54z3i`8$>yIS~&?WXnEM|_)!9P9)h^I;MEBSTT=rQbUsKwD^
zHbU9Kv38?gsYkuLD8bQkrwNZnr(qj0v+fBsyQkT#;=N=(p2T1PRhcxZyJ&Q-#7Gkx
z2tx*TF^Z40pKZlQ-T}0FpLH1wn3l_jaeyS<MWNg*NEch+k+&KWWlpcmCp&=k&ao>*
z^|kqo!<|~mNBHSiH0x2l+^F9I13EEQDDdu(q&Z7cP42I9a<3nX+%?cp&1bK8*k-DT
z8zpX}AS}1D6nXa)p2O;!@w9L=tO@1B>%o$en_(^dNs){3dwsLTp^CduF>WSXgm}q3
zG8sn$Lk-tzH^wg%7}B)}j=Z>j42EXI57I8k7svKh?H-|Vb*q)7$(6&LCHW!_`bsLc
z+Bj4JyMHA;lp8mu&?d2ulE|?j$|^T_&hVzf^9l!BO*J5DsA}bCM;LSYQ>h}E@i?;{
zN*@e^9d@V6761O@d3@T(c)-?B9e-UhDeoXfFf(s9o9XXV>~q<wV(s;{*y@au^)QGr
zSkLapVyHcDR_)p5Xfk)^jxRP<9~eN@J+*tCRKYmKP1Svhs%yrt?>yxGz=~H<G~)gB
zq8W0`p?=$pe8|hlnln&l4?-r;%+IO@r4Mb`m;4nx(ie%t*hW^+KfIwYR`{q#I2Us(
zGm3o@L97Z%^;k%joro;|*55i~SYQr^YX6`kyW02dQIM+04CreAXhd^zT*LmlPYgFo
zX;0mlAoMXmp>8pV3i{b`{;(b(LDkyTJPsQi2xVm7@PrM+ZWwrQdo^`aqG2cb8|GuT
z9rpNpU`hv}aoskBN3_~7Zi-qRW8@T1Jx|g8yaes%dTEcRT77r~+lyHSbz7inCZ4W0
zY3|Fwf!1P3AgSR$Y#Vi%pCCYemdf2mR60^_bOW2X_{6Z=Znrv7DO@ghqE~iXIM0TW
zAKP!zoM5`qZ>2wjaX<S6bvS$UXaYhqEe!pgUPjl#UIRsO41leJM>Y+AERV%z;Z0uj
z1Bd-=6PEXT@CV~t81oC?OJk)w;58rkur2T?4Y-U0^<e1k#8^M2!!H6NASVT7_!ll<
zUOtU_m6#5@`Q?Qh_d#5~@8*<(n(isaz6jyEn|Y_pfHX7`YGWV`mrJA}g__LGBDG}&
zgO%(kR?E#oS`eSL_(aD%o@kJ*h(-1^AR{Y?(S@=yff($3EY(CNUISUR|58|9Dl);I
z4<)b~<YE`#6RIY=5KA4IKd9l~gxSD}3+$;gqJn}^+!e1`RWST@yaqZ;4@`(hfnPAD
z&g9VFdw?pTzZa%-kIbDlp}_CPqG?@%b1Y#f@HC)sU@mMl6s`6XL2rOH?<CgQ9l*52
z3WMuc-w!}mLw(m^HSrM2J34cO_OiDkTR1SKRKkoXV))@u2klLgYb&r|M7)fG>w@*5
zZ`#OTbdf}hltgi904{$K#=H=A7YPl;r3(FKU14EkC`tKz_At^q$Nof+JUBQM?VV6F
z;1tc3*90_e+k{maLL`7EMYVvY`*BIf(OSI%t2V+yxe&qXB#~-i_VRLAxK>Cl2yt0Q
z&{$G}8hg1~Y~SEw`&wSHv9Dr|(+(hD=;Xy71K$+9Ko5#K3XyFDYlr}*ttMNVGna11
z-|=?*?Xc~@83&^sGx6+FJ!n)*iTO`4wuIGa^w|i`Wi+O8CTBBeufoMSIHxLBsO^f)
zSE?yc&>Z`>JndjV<&FOd{-YvC^iqnL#a8urAF+l}dA<N13PlmTDfn-9Vb2}`B8Id&
z3DsF!9z?9gf+L*F-6H0DV6j;T7AYB30>aB7NjYdxzwMUqS_6$pbvKr~K>LqNpXy8X
zO7Bir#DdOe2NpQTPJn;NZ?7&C6CMsfnN{kTQ;2(2e1dFOu-vYd!+L18?1UuGWE1;8
z*lk@%RGjV_u_0&khU}(>q$f4QJ|0*){3Jo^Hj2T{fr8nS;ZGVXab8yQaccJ<Htveo
z6&}6)Es4o)D#2p+u6VG5DaK_;E2uQ<802>6*yaIjMG0(#G*CG9v*b*NshF7bG2SJA
zL`l<yg-QPpPb#gC^qfOaX<UWEEfhx#0}E=2E37`-KVo4ET;I&4o66d%_If5b<Vs&X
zOCw5zAzQJg!RfWU9zKxcKa}E-U41o5Fx9#gYd#42HkCL2=tRv)2woA8uV-&&!9*8s
zrKugVS2#Fdy)W5W-=rEXrlI<A#Whe+!W6tckt@9enAXaJuu>f++DAiE17B6x3EC(m
znrwY?p$&a8<!{2_w@R};b!(zIAM!WH4Gj8;0P^}d>B7-I=darUz0z12^U)Hb0dm<6
zuP7%!(`~4P&~WBX_Y(F-Bt4;Z7H+s+Of4qZ{q4+69#pX=nH_^dR|31^$OyuBYM(*U
zN`a9_NN+-|2B99e2$6Ib9S~&d@+<Uie3bx`1weeN)Iv*#udAZ<W;4p~*f;_U5rO)5
zpo2yD^mBabs;49HWUdY1?nNxs7}}LyBSzH4-J|<cz7PeR=?g}6rh+JYwLmU^dWMKt
z4NcW8-ShlHwGNBg5Kl6l>v~l$_pj==?P5<}JG_hCq4LHbpDY)vctiG1PfV{a@`dE7
zeMFitoPN;FXJ;ZOsH{~nU+mWjU@3dk8hET#a&kEn`e@7MS&F|dEYFN#)0~MtW`HI5
zs41Bp$<v{JAAl{G!OlfG-Tcr-gKdRWD{RtFN$n_dai)+IS;=jJy-q7>F3Oz0hJ>jA
zJHY91Sj}+~1^Wz0r9{ha;_SLnR4*gy^r#Cx5^l(u*iJ_5zCpA5pI{7S&x^4i_q{5z
zpBeAs^;`%FjZwc9V`<3H&cjs+#Vli{d8r$q^K29NE1N<MzX+HiZPy)_)*SmaDAd<`
z(A|n5D%PKIh{`gQDu$?%;ZnhLUvz-k((}tsq1chON^qKcNSE9H&p;!0`|rmma{KhO
zGH(CsPJq+TWA*x%jq3F|O(Qt{{r$E~w6hZ|w~hp*YCXiAPu0>=qkL#zVX*}p4xd-J
ztlS6#Kmk*t0$4YVypm%l`P1%04}sLoVV7;0{KM`CRo?ji$%+XiXA&X7>4VwLxvAHl
zWzAx)CEMYuMvBS((H7d*72}=3f_s(OS0EFNZ9gkbUF=z9_C0?E?qRj4z_Ex1znDs9
ztgBm#y3E_|7<JP}yY2s)D9cvZVFD$pBy*tj7_l)?tC!;`3<1w`j_LF~ONdTdXY<dl
zojn(dNv`{oYl!?p0U9nfX;?=lMXI9sW%GZxpO&kWv<zM{#7Ru|STYXBB|~3!ao<2%
zWLk{bwRvJ+LZ!jZ&d!4;)dO-z>6d#OKaBF_i_-T){k}LO5v990p!v)m0A8$clzwuW
zXH!8s7Y#*?pF}CqHWCMvVFu|hz`bo0my5w2O;~cP$|rS&zZ7vhOpkS1%QB`v3peJY
zXH?<*6(g1R=<V;&C92NCny4$V>Ljzu$k2aMeJRPXE}9FTW+vXa*l1M_muQ)wF)b&8
z>I+preAVguZGoMR6Y;PP5svk!7GMItECe|l)yffmgB{->PS}UtgrCjA%`_=rDpksj
zO1D8<MZ=p5a0&>f73pThgg;L!6z68H1BkHifAscuCCGU6_Iq*?qVdxB!ciNAi&Sn;
zXb&)TE1kAd!i{UN3mSH$8*4vzIvFAD`H2oLX@Y4;_4-78wx=--91dyj!ql8d0`*Ty
zVY#j(PEF!yEPEZ4uasnqEjZbzP1Gm}@~G}dt+{uk)=VuJbi)q^h1!@phFP>`=oTb_
zFUGhH9(~3eIr=J04(lBh;fxo6uB(3}T^u}=o_T4xQ^&D`8cZ8+Y;OILs?-@(8eSGD
z6)PJ)i<#zygFOK4^A4wDIAExMK!fWTqE0v1yMzOp0<AkPL@ii{BdmM{4q(9-Jo79i
z2n);g5YP0${%`kuQjH?pX^iV*cUUbJ=D9!G-1%l^?wB+6hai_;ripwLiypoTAE?hb
zC*tv|6)^9LUo=(@skV)|T+rPl?SuNr9QzC6h2PW&^aRx{BYN@~N;<fQC~!$AgZiy_
zM7Ct@v@H@pxuSPWVW#Z8<HD=>`tAZOqJ+)sg?6ibR<(eOv#NzwlXncQ_Y~7OG#`A~
z#r*|Al#;I~)%<u2WX-XidH4sW6E-44jzRWPs0H$Q%xbYw0Kw+E1?!#S52?q~^E6Ky
z&vP(ScJ){<q{>}i|8QA-w@JG^Gim13LY@Umv8vf?`)HNYeiD_p_mK228k|l-s>sG%
z()XGqwdyBfgZ-JrWU3s(D5>^Cs_dmeE}TR`=T5mGRs7B&)m!n2AXR!=8A$cYYJF*G
ztbppsYm$(n5#ZD}_76I#jV+kT>6ApMxQ|x;iXWYUhvLc2*Lq&|y0Z&n-K4pd8z$Y<
zw(L}77H|h_pjZq=KkP31RuH`D|LyMLM`hov@=n^a2F{fPCfoW2ON|GQHI49IIc5Sx
z1$v|HW~&0J7KyjEe*9M@V`r%Dh9iFmGGzsT|G-~?8vqs+IPgyVV(PO20FS=!gZfdw
zHypiSo9BO?XoKA+&7raBMm;O%Mkg>cX#EI@K0&chOVXX4L|74xeIFHT^p(^67O_wD
z)k<?2d&`yRHtT=nXT7^2Kjg$^n(vreZ|i4*Q*Lz^6*$x#zoe-9mMhh%ALuFsNBXsQ
zgG{F}2#PaL@>6OI(lctIt|+rMod`78h9rHX{8Rn(x;ZN<=;sOt>}};Z-(N$1j^tc9
z)6WeqRTzeuyUs{@2mG}9xRL0QUY$=-NdRZE&Nx-PgnDP3{M`a*ux6aBRj001wp~9Z
zL(DgE0u%f+)TH0S4Ni;mO*-&m_n`q8!+cZE+xQ`TPEOr^6V&e;f+yyiTpZB6V=-`L
zh3A_b+Yu<L1munO?sLJ=OvM|7kp_+Q@7+K5GC1H$Oe-x3(4B9%3WFnfgr0lT74-ih
zaw^-#{s3h^$3B@^1+a~{bZo-5K!~WHWb$#*Sdht3Xt%j-PlOcaE5%$g#$U?ASqa&E
z5i`w;4n7#~zRHU2)gC@QiYy3Bhc@$x(I`UQF!hzxIXYLI2Mjj0ofs;Jh9}<IZGSX#
z+f790W01><W`74h5Srb;g%3Yju~5RRvpptE-@mF;GDwb#JSprZ{y0%_BBnD8KEm>1
z3*SFeL(-F)K~)}vjQtA~>}4f^V~US`Tlo6en6ib>k?xEvYNdD=XG#u+DOr;?^zON^
zIri-V%tbi}Ko`4NMo8~ZDe2g7{_{52`kJl_NUp&7_hP2(R^f?`ow~5HUpW`4>jTqi
zsSQjD61yZ%(+GsU5OVnZzacSX!I&jx!R^ATS?^Ty$)1<<G*3$I6__cz<aqo<v?S~p
zxO>;=<Va?sOw+<PK{nSZ8hkdwKI4p6JJ`5%pv(cnB%!wkr<2_jxtB}mULzrqcNqob
zTFflNIVDU7@=jd!An*8{Bkv!;CqmxoX@!vY<p9pZ9eF!2n0Gw4;rKXq10zML$or&4
zmb@{9C+FM2%rnv^E4?dsM)J8J&9m{wwnTpf+GEB%={`h`HF1CDLn_w<Guqhkt+<G$
zk$%`*`ig3=3&i$Ma%f($zrbQh$XZt0ml`ctD0XY1*<PT>UwMWU+Kzn%$48s8?|LaS
zhuv=ZX_~aXW1oUTfAOPV;ybwMN!;ej6^NhY^l2dy=V)E;*NL}_X?x7e7fh&Co~}<y
z?(An+!5sV7%%Vr8;;B#%Vh&E^j}?*WJsv|QF<C6z1cfLi)(T_nyoD=gxQTa77jK)9
zPHQ_pk<+556sIK!2KPAh=G!arMy$t~;{u9O9T&GRzH_=AxDmFIj7G7h4U1v&ML=r2
zQOZQ&=+i(N`JKR7D%Zq00pb@KV$%soE|L?#A2yfvsrKe~0-9Is*;q`%3Bav@c%vSl
zWuM+xpr3Z_mwRhZGxV-{b-!h&L!tixh8}r4sfM1b4ncrV79w#PdUF%N9)e}T$_HUo
zUoJ<1Is*%P?u~FdzSz5q+xwIg$eBy23#%esb8IoQ#t8o~q1~8dQPQ#)3XWAvDMcq#
zzZF}_QXb92Q#o*tFw?x~_=ADilMr%2#VCfmO~sJ*A@#c=HBL<eYH??tCeSGR4#+WJ
zG%iQk*wl=p>{n9K!C;sLqX_9(?^Lr%LhsMhJSn03FjIC3ZAANAq}W{E@aKS797g=X
z%*2@xOCIzVFPH^aVnQr0he|CdobcOEz+1w>r;;bx;TJO+a2yM<j@q8^k6%gTOAjo~
z#<4FzwygM(s5ejRk_XHsTc^EY8Wwy%aVotv7$yrW81*QZ`g?1aAd|Fhxj-iAoRnHS
zKqg|nH)6*W9A=uCl@U8Vr9|u^d>!^8ovW9FYJJQ=)5v?~IZY!(?2es<vdrOuo6|ua
zW-m?GPjldZn#wh4``{(V5>Y!qq^L2{H_D&3PdHb#I)CJ@ImXVxViJ+Nut+j$5Qt5}
zGG5@VKP`55)vWCWI|T||;n+Q0ab@&AVH-fDvTzJ!PKae-{9d?J#_bfEaU10d*#{?7
zipg%o+UMA>X4VZErB5`^U#fY&l5u)74_9Rrco;Lyi*7zRPKO=75T{$_$9$zE9h+}K
z;=i7UHVVLRg&Y|JaBM@y2&6_y#~y&+lc#x-^><^Y?5sDfZhz$Mj7~qAnJhCp%@uk(
zqSI@k*8bT0gYb5MJW1}qH#nV)JduI9<gPu5Bkq-vr|hk{B2Q^nl{_7h=VyUjIC#~A
z6=Mn>dHy{<5mro3D-(HMdjvNh!yfgqV#Sw_dR~*HDmD6yADFD;jC6x2kn&7+KB0eW
zl+HYS+`MWdSen$so6};kpMehYTocZ4jdyRbxCxlIexY0!Au3zF9P>|pYQC{8SWF^%
z9&z$>-b>kFS!$ZJHDr&0s8=|y_NlgvtS7f$6CV37qQf|2Yhx1h1ThIJl~JMJ{U4N8
zvS*{*=h(9{i(iD!>?cSS5B{GaG7s>>aspJg2b`KxWUVw=CqNHErQE4qiBIIz=qbgi
z34%wN0KGbls@34gSl!ylkP4?M-KkC35Jxs=kV|unr)AdR9a=qeFED|iK;@b=AV_kI
zn62H}w0tinQN>SXG{}`5Q?1Sq1Zj@3qgc#%UD<DXDNA!@E}FDeVkIbag<V;?N=rvJ
zsePH;*rE{2AUC!{xG}DEiPb#rk4iJyd$E!^_MXftAl+FRb8vTdk0LZ32!?FZoym5A
zJ5$Q66(_4Z`vg?V-PtGciQE}IrMWXs@F?!=+VF62v>AlqSRLBP<1|TCx=Wj|cuqHH
zkW+I6vpVzeZtW{Vp(XT?uGXeo`?AV4Y2!4_vxH;Ypucd}re7!%LeA}PRNM1AH_bQp
zT`Xq2&h3X@%F>*hizaQO*uzlh3OhHSYD@Pvx&4|P+@A^2403S0q=S>@mrk}*qqVfp
zN<-PkP2}We@SjZZi*#~dBz+`er$y$BV>a0~aB@niwE|^zas{ZAJGm#}6FE70N^^3Y
z;E|l%;ch2t!3BYjFDECd`lWGlx<NxYIh}cUC-<Dpy}@*H&r-Q2&B<w=C7qo9BAlFh
zp-c!lxfiOo=XY|NZ|n*zX1q@B1}|l4PR>P>wo&X{DD)Ta<P`5G)X6FOCDtcIlhw(|
z{E2a#baKhhN<&$M70t0uW>t_*?&+9=kK|g4*z}MWvdNL$GgMt#skH)Sb#iw>Dcs4u
z4xh-$(Nmg};{=c5<Vt+%yi{HcO8`*T=_u^6I=t&foqcmrnCkqvJ@W0`IJ197%U#3p
z4&^?j4KDMTW`y3Ya>ai*S<{Jb{w18t4tFZ<XxtxFmnNt4QN<q@SN$_!nz!sDSj>2x
z&S$-p4VJg2N!tu|Hx#<UPA6+ukPhgVLoI0#^DZGWr!z8ljlAFmK_u1}6~IWg8eP~p
zqAjJ|OH$=GM&M$k8Z7;89fAwu&20l}j5fCNROev-9osU;zLi-Eg}?hHF*66&LF2!n
z<#{Wd!z(WV0K<U>M%^57!?kd^=(XL&s8fdHvKQeb_@H_y5Z8U^m1I2Rn7ypk;AiS+
zk-|wkZ5R_q^&<h@A<_&Efy;y+?Q$oAdnY=rE}X-2OVDY}Ua<@*;TU>QiRfs{RT;ik
zMbE;WB6Jr8&r*ScpunY8N0p$GhIFzIy{}Uxa8S2w%IvjW*xb)wQwmuSUT7j|(Iw4Z
z(Tsvly9IY(@OrtGcBwiYAC4u2x`ry;vw?JqmB0U=y(H@KvsZWaf8?G02YEX?`v=T%
z+JW`ZS^g(H4nl9l#S*e#0eZs=fMC;c)Yjnji)t&ET%^sRtT3@idwMfanH8Cm>lW8w
zrg`B-2QL{tB~{1e0(MUdC5hOR2zY!_o`%pm!yS-gkW|DD7i@6Gb%v`llq&9o)UxIQ
zmJUX60Aq$R#>huHQpJBz5IbX$FW>a8GrS0><RhPp@rg!0^prC45n=wYJ6x`V>sd>9
zG|uQF9d*YwoTf7J1ePRggyD??E!U;ekVeneZ?L}L;xqL^sX2w-H-b>od!;}0zFy^>
zG@MK^BRO2K&LB;>`JSm}yGAQ!XEH%W%`8^O0&tw7dlS0`-mUPMz^6ZQ957+CEruK^
z_P<Vu#u@vk-tKMKJXrwPJcpDFv}Z<H2iHLyzXfz~qxS}UBBMu7D`WIZaKsH<2n%r_
zTn}3r%ayp5Mj6%s@S7>X{v8|@>ai&t!3x&<K_0toIz$VubO1)&7)G753l}wy-*h%a
zv(2SCT$qdR;WVIwt!4oC=HfqeZSKWzv(6<j1YB-j#V_9JTt^{;dE&<=VhZPpI{C?d
zX&cx7BGfV89Q%DLSN!S61zLo+4way*0dwS)8J%#UpJNNQAbQ-mYNxa%`JE#~$=5ay
zA5h$ISzEt@(wt-;$6^Q@x=)TE<8x4{^Jt3D2z?>M4p#{xmA=(sEvAwIDF0!%@eywu
zYwiQSABIf!(d+wU9dMnmUBS2f6}S%@7Zo^85XUcO&|uu*u*L3of*1XJh+GFG{_jMw
z>G-_4g~)TQ0<R?VVfH`h<7oO}_G`A-EJ)Dm=BTKkpBrnyP$fjR&0m3WW^G1hP#web
zV)fa|<l&>OUr+WEo0l74u@e=X=dWN0ZeSh5a|4d^7o*+2gZ(e{lj`Gzjt6O2=Ii%~
zqy__I(22Kl{4v*PZLpq@?gm9y)n;p&r<DzrKW)iZ{H=92p#+(-nyy#+D{!+@RNydO
z_$9@3Z8SoITz2cVi82$mz>rPGuA0+sy@s>X(OUdswbr--<yI-!saq4B?cPMLM0?yU
z_Y(oq?zeibJ03pluR8-T*`LEH;>75v+&L6Py_naNxwG?@Bs!Q^ksX}p8kqT#jW2nd
z?Y(5fuj?=p%6G}eU;8N;;*t$cV1l29Ao~s0;Iw$jhAX<WFLgh$KSt$Iy+awDX>D8g
z?_SoJ1OJTu+*xO4J^fc8$A>BkzOr-iE_FA%G^5$Q;3`%afG7+ax~W6!CVkvPV8nYw
zIO_x>%!$aoSCu<3oum*2KH<nhxaSpJQoYqIcaFo|#xO%gH(X1@ojadWXZDn>q!VZ0
zKUpz(fU@T&end)=DTrn}Cp<FTq-|a#BEmrPm0~j?tmo(9v7GmKCT5x!qt>)}kC}Mm
zVz<!<q7t1+rZ0czbE8GLA$|tGl<HBiY}^f>oH~s!#sMk-<^nQ-o3uG<LN}2ZDtNRW
z)wG(zoG46)@*BAMBzWSY?SbRo>oc>)Jdtc3a#?3S$cwbEg%5P(TL0A}_{miCqyw<8
z9^vtqkgRK@+DH_ah>#5DhS;LGP^3=er6)C=MxJvqSQ85NGKdbO<J_?uI+Z@ay<?ar
z3JD}aJ-bfWNZ0`llSWMbv^&k)hN=B6IT*}d4T&=zi^tv$X@_I5chvmBVH%l*#cObI
zE7X^sZRS2SOue6mOulHt)ZSdo{oJt3We=@}PR%jIzESu$hH0bVErj#QQw{NpWj|8x
z+;OBkGot}jGK#b2fS@i}pAP686T37QeboRtqQN?dt({{BC@H%V{*jnzpX<1qg9L@*
zevPY>+Ys+@l?%eY(BlDuM+mt9r_wCd8$kyb)|8jU3LVWPQrv_mk=TQfw*0ABMvivv
z3AT*VEv>gNOK-9Yic9e(_{q`+ufbc3tdZT3|F8)^B~e^D;f6QaMdYO?9lAfxLBU=I
zkvHMou`T-=m{*bQq-VRC=MK|MAq78!aTZ5b>;e@o9;W6C#>U`2M1t+l!DE=b?=wez
z3YcP!9O<4te8*Jcj7KO0>`IcV!A9%f@)|8~k?aa?-!98gs#unT@who(@35}yF?2_B
z>^w?3wq;Xy=F(kp3E3T(Y0&UNEuD<dkaM1V^`RPwhOi>C-NgljRkg}BQ(CPlnUVw7
z-jS!7<jCFzIeY;L+DaikWXG7LXPuBO+>-T9v4DKjC-O8;4g&ATOxdNly&vu3MloSL
z!JxR3+5|t6nc!g^jgyGMj^|;LWxC%3v6FgyesDUe9?0ih>fyI8V$Gcd8RX=@Ka;oz
zMq)-v?A9tFT7SZWYtPkXII`i3Pks&!<BLz|X=N6lT-7Wuk9oD-e#9eWn7AMx!i8pc
z85TfS$_=?1A&kmVxX=$PB1t2xF>zc0!%Ix8vRkX(LZ9M4>|S*8Hak$X)z-gwVTZ~)
zY4=8Ot|T_%%)+o=th*trR0Ni--j|$6K1(%PtOM=0U5>f(y@^~ln}-1A^Uakb(KJ$+
z8rYmn^KX~=o8z8;^AnMI{_O^T-3GE{+I@2kMqjj>cm9pHB;8!f`69e1Pj?b_CQ_bQ
zRk;=3t?;Bqnyo-T6inU~+@kLiOukL%f^z~R%W6tl0C+QpbjX`=pwqva@;8AF?$BO~
zPqdnno>s=8T_2X0+l`<U)^8cJUpp|WUo$8h!M)A*J4~zKgqPcx{0NrYdT0B*_Xw?#
zagS|`{XXwqDsTL$$Hmge%n^shqlD{Q15<Y%pZ6iv=yaclCD?5KL?V~X=3#su){%Mg
z8Hx7A%%+jnQe_`RsuM=~Kf${dHqrw$UfSx3);TiS?+{usw8@qQfXQ~qDznM{JD`J`
z?7zn+GTHRBGA8>vSd?8BlbE9o9rX0(IClL=vPLl0j$IqN)P$wpV0{5ItzX#2<L5$6
zhOyB<Re2|E*N^5-!a(c!UiYYE%XWJhmz+Ju(H~A=Buw<KM7EJlG_NGHjYhJw+Gs6R
zwi(Gz*yzVV=qqfaeTps(^n`6sG8B%i^G`(A8QMC_0>C;uq?Fk@?*|EU>wGCbk#(l0
zm9frO!=;?C6Q4HbNHAvzRL3&SmyQ}r6HO!7<&*k@Xi;RsD6iA6!A^)@wmE(U_PEq#
zSpJatWh!s{vB?UV1z&R7;$_v|)M(jdi@S+zzi3;GWM{R-TBNLjWG8I#OW@rK+u~H^
zmWFsjRgJ9h^+FYfw!*Riu)+@cWVXWh0Ug{5zYm|t3e(fdSmEoVS|@;QqG5UI@dj%c
zl#O7K9fLfp;DlY?nEZ&ahWXC6(Vr1oGfc?*DV2B9U=5QWWQS@ExfCc~yVz<qJh;Xq
zs@3V1nu@R){nbRa(JeJqk~wNdva?!hEm-zvNOr<f-w*Fr*isKrdTFmG4B4>Nj;!_r
zLM?{2+Ohz!+74M|w%V&tlvaBUK9SX?r<JkVS9jYG=?2B!qleEh8mYCa0BekVy$q*m
z1XKO${@_`(v$|9YVU9Nl_rdbOX0;qHR9c;2fxlb0mOjyj{So7TVYjq3n}H+X_}O9f
z37moP#<ozWg5cA`brX6uQP7iBu1UKQMv9vvb-kT`TD}Lz3ha_UZC*W1wVFEt+nW1_
zHkxDXsaOovuea|%Ig74vVd@RA*)tW5UF|cfDy1CyjosjjybVs-%l|yc1XHxe>~Q*C
z{ww_zxMzn&1&)o1_{CIaqt&OR_CU^s{<(Qi4x39sqE=fi%r2BR&0PCFeUW=SJvC?c
z{AH3tf)w}0PtMQ5bJVyA``NByjfr$=BydloOXcl7jTel=@Hqg?k;}CO{DyH0cx3uA
ztHJBC$xH65bcswW20IZ-Tj3bcaYvLe%`*I(usfopW8nvO?-Z)!jQq@flo!8*VkJ5Y
zQ%&5;?FRTS9G@9MXdza)HVfTmr4f{yLA8LLDhwjE%5@w?sSd$DjxCsD9}^964<SvX
zhjPQ+mJ=<v4{Ny%brrd}rBbZ0HD4+A(gNFu^YB(Ku>Cw{nis)E+Ad4IO!`vg^9#jP
z*U0xwF2PP+jAFT}HDQ-#Sm*@Hts_B|d}m^ROOE*BuQE5(Tub}=kjuGe@-N{-$}SiD
zWJLxEe{XO8@Hk*0JWmQ+mj9HfIN^~E*9rYZ?ymeHH6%T$8As&WUHQ*Yu$PszA4c)9
zZ?8rl8&mdbIMSV3_34pfTI^5v)_eD_qW{1IB`eX63J1XbCTNa*eE?rk1Y(&zb|)Wl
zf=R_Di9e*IW7{OLXNRq->1u#9h)oht#Z1|IzjZWZVwaIv;s^|WejZ9_q55+mN5*{&
zNO3L(d&Mg+p_g`Ax+Q-mu~1z)WyL_pLiP1PZtPj8j^8-|Uc)DXQs`-App=)@!_pG$
zMI6idh`92+UeO06j(k9@ByI#$<*EIsiY&EwY+nK34MI)~*jB?I>qUd)_*VT^R)*Z{
zt3gnvPe|`*a#Vw>bZ=9+CT+=x<X_)eh8y%34u9wuHpkwi+MXW((R^cX#9|Tv$TSx!
z7nz1Q%-1G}F?CD|7oKb)-|r<d1+;iCWXcL!-0!cz4O)l_9H0e$G1brjEokXJMI4E6
z1t2QN)`2f3N=jE~Gk`GHyC;B%d|L<pgm{>!)D1asZloJ$+2Ig!xYt#z5jV-S2syZv
z%!VBFM2`bE;2&*u`q8+V$}7n{g8yN*=F1Vhivya^>==}`!XtRc+9zdSAY!471QWLQ
zNzpH^-MU5S#K2Mf6U0rJ*LAu<p}tf&R)BjN$#1LCxi5**MD~Q8U?c!i!+%m2*Yt<H
z^Aqf&Xr^qZXfW7jJ$7wg1_v>me$K-A=bR4s2yzs_4?J25hNV%r(+ms9Z@3o)Qk}bS
zPL@=@f~2Rp1q*!i_IF{$kKTUIpsFDyR-Q4XKbdxMY&X}0v+`;JI}>x9c3=&tk>;x7
zl8kYm8TFhzl*;kU`Iu>5L<)n^j8l#kiaaFTgP|cF&;bXGMR4sA2`_<Ac!GzkG81bK
zqqjpYCnE78_>h7~;3u;yC*6^aNa#qw>G^|1VF@Q}cuO2JiZh%RiMaHnW{{8zWjF){
zd)Y%MgW^pe%FxG}6qLb{Zc9S?%7VtpFVGE=`L&-+0}!qlz%t~n01!}vGmdYcNlC{B
zAiM{PGc_w+!UlkF4`#~V;kJV_ldh})X0h2)r^2{CX)(CIf+#+chh~BrK1fXSw@ruw
z+csuVSjQs_J~H9I<!PR@fsbIO>>|k>*?uoGQKltew?MXxhmDD4RfBE8ccIJyxDg5c
zuLh@+{SUd9OX%L-FYzVmIdkDlGF()`bl^+GRS&*|-#NZ?(k_WF(bLM{OE*Bs3w!9s
zu~a9CE{(imhm$q}wp4UtOW52oAxr0gh_YE=Ie0~6>1>s2(&oyfM3ReY<a@EGM*LLH
zfKa##RIBr2N}6Nr`B=<~VM;IY5}AT2T@9JCVoDW%1#V19RN%mr@QbN{!(&Rv6D6fP
zT+>O64O8k84-=KTF(uB8bSo~q8e&Q>b`@(x$uccsN-iZE5mS2axS5(0Q@S@>^ChO_
z;(+EeI}1u%VNA)fDnu9)i6~9j>H=vQ`KplJLLUa=NvFE-Bye28p`fD>C4VAiec2bV
z);ad4qH-D1Bs!bXE0EU{xRS%>^&cx<8;DZNK$Na?B1)H)8=(a$xsw^dQx-_+RS8JR
zU8t_xz?9rcRsEPUGp6)St_feys|oCDn1f?Vny<eAOzHc1D3#->|ACq2MWirhOo?3s
z@wpfW_RUEBJTtZCNa=Hs%Lyv|6h5SYO8Ck0`-yp@T%gj4C)tI04TA)gPJm3lk(?PN
z<N}p;Lcw145U8Yh(+4W`u_gsna->T_N6Lh{K&51U?I_bgrJs;I{oEBu2C8tzLGAY_
z>DWM}gSnJJtV%h6nX>n|9UN2={wx72xj$-AxW9vcE9Ie_P==R74xbJiC?B?P%mT>?
zE!~!<dD0Z#f|;@lCO5S7+nI?n?Ex!7w&9_rK7&aX;SEsc0AZ5QUq3jVgqDzdxrFYu
z0TNo04phcr{!C)&l8hXcFdfhman%DY;dc%#eIB1^=@LDy475~kw&_yqQq-b<R{~?Y
za>R`V3ke!W0GrP12b&Uw7vb8GeR#7gt!R?h9hjH3ss&6U!cf1J`6DRhJ0L#O`=`4U
zIle{M>02sS{F%u*bRogVzI9Do`x0;<s_(tc#{Z=lk{^-M%w#{nViJhd1}W;~Iw$*s
zxzcG3WRWw_^lTHm=47wT-B8KTfwZj1)HZ(wZe&VS;6SGEi>ad~G9^_%ITeblo$#C8
z^0WMe8RJ&d$M}#btRwTfoHL;MKEL8)ce*{7y%CYApOR<>_gqA#T*_u6Q~L6h#6ZB!
z(yRVsS^6RuOAR>+K1o>0)qKrl_BG(-3d2%Q8fe?qEpQWWT4_1XH$?9p2vq&bC9UQW
z*r8Ntc9+}7;bN^$y}a0fJtVL!1FzsNw2#9E?q(r6-VXFv1z`=FU0Dcr6jgbSbu(+U
z1h;-U1l1Ak20^X-ex=vtVX_>8ycRRf3okhsjX59OV4=vhiIfHw9grg7589^$31E>O
z=vSo{R1O!;gn!G;L;Nn4!~&oJKK0$1+hYO}Ey(4>Yu*VTQt%r5WO>7cnYQtoS>1dY
z5ty%(@>4K)f1>Dgmx9Atu_WjtL~43c)05^xZytbxz09Jq8t0VV=(UIg$ma4Nc0<23
zOhbiCyzHJ)`X#G3-q<vJXBZm3orBrz3y?VD(3pJ}(q?5g1Ok0fS)W#>KxK|}C#Cg5
z#jiLu37G3-iQ1i~foE?Yz(fP9L5q`d*!~-obTD`}%NLyD#gS4+X2lc@zEX{*9(nR9
zc4trTW=OPv&~{>`dG;D02!M8=pKXFGq1CxXCnTLICqu23Wkt--hdupi6@5I}9D8aW
z5^*j_61EP6cP3=+i-?Wz%@75)Dw8Oz3Q#I&ErAI?hWm*m6M(tUz#{vZ@eT}?2rZOg
zX0B0hRJ%zom*r`+l*=WUNm17)mrVd-qT!;o-btCf6!UVK*y$8qjFQZ;8}g85%3~Vj
zaUEpNC=YB+K6zjTS{~khDgiDTljH)pWW=dL1qZ-Iw$TG{;dc&j-45;K02e)Z0WN==
z1pao%6jw<g?{0j=@xGn0$S%P<+}Bka<uL38<{Et#LKgbWsrxNO9X%zft8MD%T(S1t
zco&2P{3@9}{8qv}bd?O$CAPsDDdfF{JVm*77HpK=eG`pRW@~e`H9Q!poej2TwNH2A
z>9E!9R3N%K8@hFED&A7*b~-^bDv9?8<4y8SqYgLP9gH`?nFJB6%np0;wrZ==jp~hX
zVX4!C+3RMt7f-(w<F`;>?Ys40JaZ^$2Ay)$>OlS(!1Q22H{53cKQ{7e;IiQ6VfZ;K
zes((z__aA|RZ5HH%3=Hp)vW`%Ixw`~zSL?(uu?TJJ|38gH-|wb0v?u*Ewwt!J$OSC
zK5e*|XL%X2hEU`jt}AYrf<{1ZN_cy4i9`w{Lyi2iezB<&v|Amx%s4m_G<pYC$FsF^
zL;YMAZwrpqfmg8cvKz`o>*96QV6l4$%G+|Z+-U-@AO)OrxD0P*@I0pg8`Zlr-coP2
zyHP1<R$6!&C4d&)Xlc*+d%`+ApK5<B1)WZ-Q-WBy3inh3pOMrGoQ}V>)s5^@)=??F
zcs}tZQ3U%m=xMx#m#b-zxlgq}Br?a~g(`<b=nQazW4i%u>cyKI5U6*{hXUYu6@IS{
zn!WhMP5`H6RZG>N4f+AqzzGDv2YFp4aHL)>wL8I59kv2a$6Lx>z?1c>cy%3=YI7Ba
zpKu75P&{BPy}%i!P7`MIp}?*52DsY{QT+N<I}EzjR_WL>s?-U=v34sAa80DjNm^2g
zN=NEpovY~9Qneo9I2RhyTmoSnjMvK!Q9C={1dR!y3&3vMRujH$7RgF@g=pBjsTc3U
zC#VDtT);FSVJxi*BH!34A5}j=MYmzE0?lb20!3`pm+MjQg{%JN|E`O-w1ajD*b+c*
ztPsmK;Twz-O4vQ(LM@8g;l90lj~+d`z=z=rt<Isn)!@ipNEz<!#XB(vkpekNaN#xx
zDgwc5fcJZza?Ue=vs*e#l|(i8MptvHtR{k!6~l#k5G_$PwP?8kRm?=?Md(G<sMb5M
zA)W`FTrR2ZsmL#dZPbvv;uFH-&8U2=RI4AVHQ;~H-?fbvs{W>MxeOicm0jr9Au#Gh
z`ptiq8ZEeBi?enfhJ(<BKzzKv0hft|ko$1A4OMIbqZHL6;6JwmcY*e_D)r_P=zuf~
z+tE~n-9<ay3BmGW0EdxA$DyuT5JXVg&I;_#K3ocx%k@U7T&;G3FeLic1kEEo@DlL`
zZX%#hf_l}P)jBAARN`kqkuq$9ia=c=u#}(*)nF;?-3CU?dW%=w&}%4dN&T3{Zc(N8
z>+vOjW^Y6P@)r0L#xwXD;~`8$9}b4KC*1~76n+O!^IW)aeOeqymAs5yUzhV-0@zHS
z7O$&^%Pr7YjP`zxWzEO$d>l_Jz@z~pThL+(ENeH_4zbsuTfP(j90S+QZo@xY*TSD2
z_~!xq^C13-r{T|=@z19=z@LZk&*?Mp=Pdkl$}Idj4gWlbe}0C4N*m!%fPWswKVQZ_
z=Wc>O&%!@<<DYlqpKCV5pX>3@z4+%o{Db#D(H&6?FBxHY5edVi>=_<+&+s5+hKDUP
zJgAf5VV-nc6P?0E+dgS?EG^cfC5?oS5`^51H=8|=)Mj&~j)ww(-hnFdH)vpGI<BAQ
z8=ekK81&TT#a2UgW=gsv@lvIpu}YkgwNj?-R{7v7I}tkPoyoGqmsRmBnEy(vizd1k
zZ-iK=0X+)Z03pEoOT_!PfWF_+y9Nvx+}I2z5xP$Zo`+Ycynyw3qk2t!bz>b)TIyE8
U__hwA&7Q5IqY^fqYth301LMLXumAu6

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.order_column_profile.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.order_column_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..9c9bc65adf8610a8a17d71d53ee062e4cb84c904
GIT binary patch
literal 46938
zcmdU2d5|1edDpRrc2}n*JJ_og4K`>bOS@nLcH{%g0^72jmCE4QM2K<kOz(EL=3=@>
zS~<2c5R4r<;qVYARG`2d1%?6_kfK5$*dYl?ijbm02v<=R=bxl1#gW2Q@JA~7eede`
zdb)dhW_O9#Ro3>re#dvc?|Mf+H2VINU)sR_i*^Jp*J~`#+SO{KS#^SLw58gtbm~qc
z>^{~#@Ye1F-BL8sw$BI6PP^iCqYbE0alKl#?KHY)y3uy39(uK4R<s`voJ#058>+cG
z>W;bNXSyYKA{q_7u;ys5qCF?uRi|woYt}mThIOjlT=Y<Z>ZAI|>z!qSBcs+kx(q%H
zusa%S*?=hQy1Sx@vO>Y#9E}Oc=cAFD*KoS?odr9Zw8OCNEp$R)Oc-wVssUj$Ua8qZ
zfI>WvHtafo+EVSb;vWlk<!swoq&l5wJhYeSRoC6&PP<#(z3ygrCVJ!CU4hdM=6>t$
z-?{2HubykQn|?4?wL=?EgkO6O5C(G`GULUptP#vMi7@2~BTQKo&$a`gxbMWK&Vsuk
z8uc1gXIY~rC$#%Qpya*?6ucb&zXbp9$NvWiJy59aF{Db-NXz!x-RSCiv)ZXS*I7Dz
zeZc5OSMgSd2WjMv&4*pP<6h|=)@b#3Us^3XcGzh<<%PE0sJI5Xh_sBL!CWf2S{IHG
zrGa!~$!abRgd@nj5oDf-CLmh&Qrm918mXgOjuY`M0f1#U?AnFE3#`Rv+X7#_b6&M$
z*DUbQI`4&;WEQ~aR0xx*Xa%5Vxu{>VYTd<i;uwg0lndm%yN|>^Q!t1puZG+{uX!P5
z20WSNib-mgOuS5i9}7TmD3|Eyv1Xlkx=?eh5}Wbh*dVfTpc}nv0Lh<?$Lpp~f+wD*
zlfZzSWC&Vk1ZJY5%>=34H^3I)O*!zO5lPIoI?;4Yg3>{|y%Zd>4jw#vo}Lb{DNsVs
zJ6L<W(P)Nt!h}R)oKJGP$e*#ek3l}_#l$_DSgzNO1TC8k+Ll(^fwDg5bZHixMK4Q2
zi?1i9Y~`eb6(?gPEw?)w9U4SVC3OdDWb)vlY#x-NDG0}55S&37Z6lx=U)gU*w^i=%
zy7v=99*h~{KETu%1Z9F@n?!XomNAKlUSxv#zC19u5SSdsEi_a%c<)IA?;-{sX_&eb
zI_;VVqph)IM`8jf`RDUTwbR>-vNo#bE;a(7EH_(D+YXy;z4FF`5`R3IXg`&WcC@kC
zwRIK{`9BN%o@CRWF^eX5IZ5{sn#FQN{=*#fnY=+8y@P&@59(y<btxR5M8%H*x=%@a
z5N(lKMUd)q>dmHuiYoMILimGh2;IL(CCYa(?9;0AF|Nua5#&#EkpIXT<eNQ%5D_p)
zVIuUe_yl?sx=l<at<4#myhV7z;BYsZqzTYm@ZrjLjcFN;amTM4T{(bafiumfIjmo_
zWwBGMF%fc^#&z5og670VK({~?V$#O-S*6(s^+-e-{E~Z<BE5C94Tt@Rb%c#@<lYCv
z3oUZ2PPLn16W-UoLJ}^C#zoDT_i>Rs?eE^WVS~;g=$Wl82cBGGsk{t_U!P%@=8p!a
zalGbX>f1G~m2c4q6xm!7ZIR%`z`%}9`&T4@Fnu;S?F^D=Q|kg*t_z1bSq&Cp+WIf1
zZl?Wx_><@NMPtAV4)UPfoM6rBw%6$Ta~LBUM*-*#b1E1eO`*hDZq>Ys7j_?I6=3Zf
zc$|P!E`-RRqQ=03le6n~5o@9+C=@5`MmrL$Bzf`o5^6Ki`Y_HU)l9JRCNk++c;EhO
z2{Sek{GIg3=Rz#$cSxCGF^1C!IxMWI#Lg_S0G<_`Sp*z`Rl&@#7Mh`JE!LWL7+45R
zcq|mCxMOuYRSM6aCk&?jI|L%`Ou-n$E%%T>(^83mmgHeO8;Gk8u1eshnoUZ4z6jAY
zCQCF{ZE`uTpr2?QI*-Y*U!|YS_-nt%8%-W^KT15imuU-%`ez7g@{WfJOx)Aa%`6Kd
zk|4u|B-ad}k!Q65(_<3OFV~ieR=W9%vLL!n>!U;({Rl~yb-y*=Y&eIkW{Z4yXl7RJ
zB>!dIz}`xqzot5q4!zKi@~09grXAl}Sem4V0Ds<pK(&fK`h1PEG*TkJL!$H+MVi69
zaY4Yr8kuB%k0Mywq%FDcawB6BNn*oS*NE-Eo4R4RyjS5eWgyCJp;2Z+@}WMEe9-++
zDkN~r(;@k&f@F3ui4|T%>}l>ywih*Gr*MROIUGs;!^G~3x!Ad>KB4~<8Zj4XkBR|W
zod)tsJt6bPBhnwmlR5HV=Z+k0Z1p(h{$Ej(X*v8Q(MBuLCjn;oPcbDXW4*ws<j<h8
zWChnOaEdmgTB6e*COS3!Aw61Qo`X>4T;D6F#NUcu49|j%q<bO*y0fv%GOv7+Y5!j_
z3|Nyw8+xPD#{W7BB>vIH`xT?^PvHNHL_-sQ|DW(W897K!<wMh1Naw)_DenXjW1CFq
zO(3$E;QuFp(>%k?u&t(l$H&sy;Qxf$<WbkO?74F!QB_NXONE8_(f<ra1k>V)y*JNr
z^-S_{QCo6Q{Wd4u!F&>?PxY6g5%^@vO7^6_Hg}9%S>Yq4NiMz7C07f2x9WzS;h!#2
zW<8TG^NH?<60P3(Z4Oyf!ft2uPJocdnk<4rp5nyA#v7z;;K{`PY(Dm>nFl|gR~ULC
z8uJ=#txHQf@wq0PgS1KhmRwjUSGQ<)YGL`DUF$fed5CrgomQ*a4$DE^ZijE~G-+Lp
zd}RLt>UCPcJjjIXUl-|&R2v_+^p}}>q`ZbdibsD8{}}#)KZ%mTbUza|cg){L9ex=9
zP$+;ThH!US#CIQxY0_Zw?!co|^wNdCNfty)iR49w2fu(oF0m5W4rZw>4;c^`vQ@Bq
z-)NndnF-C&x)&)2cp)W-Yo8p*#}h(eOz7w~+4oAp<jUf5jWqsKG%|OUUcJKZ6O-)o
z37pLNUGirEM$v@IXVF)ogo=M1^{VGdzJjKjHSC)w@sFYh|08JS-%L*=YW^|mb;a~i
zF3Ze%35eLNBH?82)#eS>>6ppUW=MS(${=5O_ekN@Cq{}Oeix$%LCgtEzDKp#Vt;Cg
zG>}kzhv8+4rQuY`EM2cqJ&UHRBUA>iv4HsBB1CyoO3{Dg8IAh*kwW`e2`4upkh-L7
zm)7wUf|y`#tQudz*VmE3rHvsiuHmepv%pfGw3y$k|5R3MxW>vj`x`d{>uLXg1z?4<
zSL<p%rIP*nI~}$l+CaL{rrirfeU?yk*a~^zgw}c2tGE^tj5fWZT@bvUBLB)diP^A|
zvtc{^$((HZRFT59jauwGu^Bu}#q!GI4KMWUns=WgaU>f{Vutm!5L;w`Th$7j+M+^g
zpf)iM`#27Jhs9yk#9<<uT=bk;wVYU06hSn$Sh3gIvV-(GR7;kY&|JgGQ*xzJt>WoL
z3KeuT?Z0XeJp5O1<X=vIl!ru0TmiGttX}8=7O$rkuuSBH>1fhcvI!zU8H+6S-sZ6u
zc@ZINm0rho03EOnAGYSH0NNvTxj+lo2)h@=icJ|=h-PC+>ow||$$3Lzs<4HTpygD&
zMX%C*B+bf`_Pv`E?sfRXOx`A|6zg2Z2zsSY3d2<s(y$@gDUovOE!W2WBpt0WP8LQ1
z_=fVQ$?!KP#>uu*1b36eU1M-(SJgcu?t7)I7xBb<GI!$#=-XeyKbgd1OGMMYBHqRW
zeP{>dN3CZcdMugJO41nhcJ|1RB3H^gOqgUJ{Ve0Of2t4hh|cq<gU(N|s{Tp*kuil}
zeLMwTB{CFNNsrgrT#!k5+OtOUfmIL+k<SbN9<6IEkMJzMlo<6}(SV8OlLTBLeVxxo
zF$q4wkOb{}Cjq_EM@pFleoM!|ObiG=&nz@?`C4LxY?;=?|0@jQ?5eu>`wydX+Hz@z
z_&<Z{`D7E~ugKOT{z<B3iGNDHy}2TzNEhYTgXAXr?msO)+J~q;(;~M^|2Vn>9Jdtc
z^)<XIS+V5OV#4|G=Xlja1$sTmt4jYw`j|tnA>Kv;W0f+3=Vsb&Vl5Q1)Q)IuZoGcT
zPG*_R8e1Hd|E2KDSy9}n0VMijd5d`cXoQa-)>POJC3H;p%#4^C!JLF8H*dx0Qq?y4
z<T_X=6cl1BZ1F<s_<qLf{ZdCyV#!q&nWQ?T&`pbBb;*|ba#~G|iR52N9nkRcO!N1k
zjBh1c<&+ywfKb*g>J<~reagYDE4Hzm#wCIWshPse{coh|_`U~Ub^!M}g&llP7uzi~
zp(ePwqsw<Gv2+q}_#Qo-q9<QHoyC*B+kww#v72LPU3I+eP`<cyV0e9nt(9)G3T1WU
zu*!<VVD5exNL}5it1E#~+o?CtIpwMs(Dw3bd9h|M9l<6X90Rz)y2Y*q4m__Lt*VEe
zbv!8>D>vkMh$?dC%Ae+}^@PMoeL9GOb5z^t$@QS%Bt4jli<j<S+@HvthVi0a(IzEr
zeQQtJFp@dxFHKfGq{yABVAEHY?nk2m7XAJ(cZ}RcKRyzizn-OhdZWA58c{|_lo=6H
zd~Ni_-<x#!SfV>qWOYMhIL7Asaql7@AIezVqjb5pd@R>z_@=>W|HF*7iQ)6ukVPEC
z<b@Xap2^2NeSt5ZFOZD~fu#)hqEV()q*#hyCjI|87YhIP(Vel0p#ORv2QfDL$t16I
z7-)fgIgRKki}AFc7b__LJORxnKK9|VtuAc`r%D<|24h6&(F|#1?@em_B9|J&OCuX<
z5NZ5bF~ayiA%N3q6LY}77q!;f@w%wj;K@DQf?v$3Sr8OXb!zmz+lNoJy>oWxSoQ*v
zZgwTKxK(ExTsgb3``Y4WKqX=aY^AvGUpC4J`2zY=C_O=LC7p{~U&fO0;9`L!cyJ{G
zO{p$;cF2EOPf^K#rB)W{31E>W(TfyKS<H2K5Q55_@Ih)cBgKYH-fJ}gIGoyYke6nR
ztrA%y$8NA}7P(qh*tDv2=%$XdzLtj*pTZHFlv%LAZFXu^Yr(Oc<w~tn#c52jyrGL(
z$xM8uTYEv6^p_@yZZ1qBJ-4$Pt>V>R^7=(e>_)uE$P3deUAj{gqnQ#L7c`V6MEy1~
zxI58r!is7No!}IC;MX%av#aX%e$YJd8_;(?u|y(F5vwN=mZViyA}poet*a$%iptTd
zbqQmUgg7=7NmI>r+_ZmPA65}pMIwx*t{(KKbSV>I`wR3c5@Awf$-pKTWEuWSQ=>GA
zk&R&CuU`WUIJd;&#kAO$-t*Y^L-fRAU-q;%vG3hDi-EYX-K--@tgI*o=1bu!624{F
zNZ5pE1rhP}x`SZ$$`X@@u(;4z^bipf>f)$C=9z%43_sx#NcChEs@cN~(U-tKUH4@x
z9_gS`M(YczRrLAw5EYwr6~_hQEW-BWd!8&!7Mqm&TSbGkP&Geo8q?4J8|o$zt+Q<d
zd5mYAEonP&M@Wu2zn_+l3yz(uLPVMDhl#?Ea#6_GDf~S&%G=N-<%9y6@36WWoR?(_
zv%o0^e~j0aQY?R(DEwj=6n@6QD!fa0(^%dd$xRsWk<wyfdZSM~EnzUF&2&zc6pw@w
z2P}Rv>G6VGSbvS7+8zMH{H>l;3BA!VPw*joXa8KHp{c8K`H&9{Jn7Wa6=|D(kLChV
zl)x8L)<r+KnX<9JPiBUrlrZ_}nVEbkESi~lQ$FVDnVEh=o0*xuTdrHVFbtEI;Q%Jc
zsJZ67>a2fV%FCpw__(G2Sxo=6&OKa~?OMnj#5y(KEM9*~XwbenlR50x!cH}{nq!eC
zY574DH`u_Z!jVh6eE}gY0%2qO+Q99UD)#?`<aFA9JXc(GWx->Lnf1(%u0S?5e^OfI
z1j=Uyp{z`xe2N;)2$$;w%u`AN#lO8Lr&7w_Ep#(^R#=sTD4j-54(Yc;*3rg=Gc3cR
z2^igJ6$>HXF3FCDh@<6+1WI4;?Hh$jpvV00MXS^V$=C5BBSAv142#`sEzJZ;oMg^$
zQ+|}_(KO|Wi6K)X-)9hJS6xYJ<j3ecpG+b(!pUT!yAhk|dB}h#r36@f_1rLsiZS|8
zd5lY&99#Z00T>%Md6!K-EeW+5jq-eaozni#f#LwWv9_S^p((xTkR{QjM-$b3!=PG_
z)|)Y-<;d*W9C~h;p%1Mgm0!LBD*L~LcPa&1JGj6E`qp7E<wT}1D7mkc-sq|YbyD}0
zrqp|BLEWl26%}m(%bgrAcHL4^cUbY5_MZkOd2@!Qm)L{)RaQ0Ms@%z=U#s+*IPJqM
zip<K>4phop&~lG?<fCn|3$bvqBKbKnm6-e{tc;AR1-s=>MKi|purSZ_C$>n%x0u|6
z)4jV>>6I=HDRG&pdPj&na$@oyChU(UdMu>>9%c|`S6zwzdl&l7CzG%=oJ=OVn~?yN
z*s^C6*^dl^tQe=Cwdot1eSVn1Keu|6PR7*!7YCzsntDpgW0rbKsdr=r6IF3FT1hWZ
zN=dl-tFd|?hV-bh+%Dyw;V&0Zj$)~Vob-ZAC7<AWwC~dF_?==OgwS&8x1uvsbH5x&
zfW<+b=crMim_l2Wy<8qVW>?(m;Xtd|>eR5ZUsbF2h3YC4qC(Xn6BAoZ9h<G@cu+d+
zkD*0B(<Zn_<XC0yO>yp7`aWi(Op$<basMFb$;j{uYE+zyyN-cTOU<@dv1`ZJfj_2{
zQ>+yfMoMK9;_C}TyaKzE21X$>bZvj;Gymt6{p-oqP@?ugLXxjz#A>L_KMb@QDw9Zx
z`6;WREWpWG4W;*dHM9xD_-ZJ7TAS6-+vUmLp${&IGn*H%6*%i;e6!Et2YKE33RXUM
z>*+~>6L(SFcyIoMgjKmcT8TN09s%)n-!WUS$($}NW&WOO6@7X=EM+P}u{FbZ4Rc(*
z;F$>Z+a%KC3f;k1En`yoe?;9d2x3+lNuM#kUY&^0Kb||fp7u#+Q9N#}5&XBH)3r{e
zr^+gsM>;~W&g6zA&)+II(KmU1?J0i1`vTixD1>a*5*`&h11SpS5#hwi_Tf8FlIuT1
z&`$ebD=a?Tb6KCP`AW>1VfG;^=QiKj{mvk?ly1_usnLv>g&7I-*x7|UM!G2L+Zxil
zd={M+^e$=qf{w$t3iK)*2TAaO90xgp6ghew2YE$~m_TV8sU{|*>o7@AY$FwWS{v8l
z)~dI-xGG18hCc5|5M(+H>*F*UM}b+toRgUk>Fy1qJFXSR=V^qtgniV$ZX?|(+)>rf
z^U|-0WoOIn+G)!1ospZuG7n3^Kojk`f53kz70W`WD<Ff}9#sC8CQG$lcT9|rNiF_*
zSR}mM_^j0}t23_XH{L?E&FELMK2d7Qz;%j`X%1q>p0I1s2%bdIYZs5_j*+{OhmS<5
zy5#B)z0rkN+fX(9HP4tU=|TO_U7FM`CxFh5S&Y!X-#M?Lp&R5d&S}Q<1jOkZkT}<3
zpFO#TBE5auGk7)YR@*bUPb5-tEq0o|>k)c&#fEf%MEgW6^0s`^rz7$p1Fo>3zbAK$
zTtVj}r3pH{$q@AICWSa@(gk>ntePOpClb9U_^a)V8b~7J;RX@0C(_8Bz1aTexv=Mw
zTa47Z2m%i9z}B3&-^d+Gk7NfT6CY~DB;vPMlJF##Z-0;rcL5S5CUM?0$r9e88xH?F
z7uNKz%=r2921d#_3fgy3Yh==#Z02+rX2T%|FhNFbTJ`F}{&i`?VeEkUR}taJKlOi#
zbA{S|aJg2Rt`gGZ{PJA<e~ohfLI9E%B?_|1qn~Nii0SBG1`4fp&d9iPgSp-!VI=s&
z@-Q<(#{1@BZo1WJ(08jGehnKuc?TZ_tKizb1t&c3IP?J%+|ovATYR+ym$jX5^2@3C
z`b7Nsl9hL)G@*Z-q+{B@wXl$gyo|q>NhqVhYeZvEU=7n9rw0L1raSJTMl%vv@^Etx
zTwcSrYGB_+h|m1cwhVS*UJ9oKm-rz{d{I<5Dnqwd42g#B0$i*OLL#>0<Do^~oCLS!
zk`IxxVCLqo0=<gNjg%e5B<Q?2{}k=FTZpz>ZI7l+vlF&DA!RY^_^{99kv6R-iY&EY
zK;im|;QqUbXw&{5(4RpLNK2s_L1T$UKl+IKYoy8m(n`_Cs*N4s<C&+NC997CUcO}Y
zae88TC-#()cM{+dd58UA&+$$R84qVwvQI-_V8da^%s=svH}4BRfu7Y77*!X`_#7r~
zKs|zuSB<J2%vPFhXO@@EzK*@(SJ(`f@evVDyw)=&(cq~Z`BO<HOXmD#u1Mx5bH1$F
zu8)KKk{&E47pHTsD8d=8edAnA@kaX1Hxp_osm-+#lQI9Ih&w=r<=bck`%^T-^6$B0
z<huEMq%_~1-snnB%dlLUDfo;W>HcO;Ba>pkN(^i|;X^y2IpYr!fj!4qlYl8bF5<K`
zm9-AO?)(2^TDK{20{Q;&eD%LcwCeT!ht3F*X-sF|&|R9$eeskjRS80B7!MRl4-MTQ
ztltON^BkZ=P?E-`SQz|21MAj0C^7D%5o%M0C0ulvQ~o8ABKR|X!;;JHVpg5Gy5=rq
zwT&&WiV_9?HWC9|E?QU`L@2S&3>2g8F@a=i$g|ofrA`k*Q5E@6qZy%0`Y!ZFS1Idf
zl`<^>KM%EtGj`-Fai_+-Ge$F+!Xwv8l&CQ8rd1d#eUsZ!v`RhvRKtsm!%y@|w|Xhc
z(A=Y)V^#!KIW<fy-;o$QTQ^duC2o*;8^a~Ls;)){y+P)k=sTaFV)MEpXwQj{Bt7A2
zq@MUlsRwD0(xd2vFPp1E=#ONpSiL6K9Jv0N_PsvjBFc)*t@p61xn0UzT<&63`yYBN
zxLf0Cbf*hpHg^eJu{HUt)TsC*-p$QHRZkm9XEya+%!Aa|;KsKH0h^^1zQyR4kDlNL
zq1P{D7MDvG<%Y4XSWH%<Orgw_&`$?JPjcnIs8MmQ7+;ymcE*fqCX^#vi^`6!8T=0b
z&f>@VA_IUzDq;iR%5$FN1pObz=RzVuv>iw!^5?S1GD&ki(EcFlK`B=E?hoQ5&dJgc
z3wW018qkVoY1mUnmPVv6hRx920SB&3S+U`-7*=QOv9<W7Avd@nd&0q3L7HZdo~DWW
zLo8Er<2=e1;|&Z^TwqS2Q@K+pKbLZcY8!oKJ!~+JX~ME8+Wublol~I|$Hi`=#OiTb
zA)A`p(1JM`>e3$Um_+`Yr~?`}o|*owC|m2eC|zJk1<?-Q^~N|BWgHj0NR8q0c4f+&
z;$#O<VJU3U63zJ+rN0eua4q(BdSba|_Ov!y>^A=Wq9K(}d?ITlA9WxQR-nC%l|$ZF
zLUZ-~ywaZv=1ZGpn$LWV^~b91`q;|HDU{GwJs;49df#*;xoPav3RSMJQi40QOZm$7
z7ZMFk`sz77!>Q`GajWMm+w60eIrnoD0xWRt*$>x)nwdM!zGmwma#7389p^&>MU=k3
zCglU#KgtE7D1DPhf}_E&+2Sb0)+iZ9>UJ!iIR29af5MJEhO)J`W4)?F+OT!;eHJm5
znf-dd5P_lXm+S!cD}^0}?bqZsX}_lEiP<mqv^MtZWMJ1@HK!cVmllUU;-@>}$A+|p
zvl=8Tux7uZ`{G8I38OZZd<oTSl$lQX72rm8P9)#NS*mUHx%J?b8<a^{y3M$`jAv6*
zP2ANA)m#%totX5!F41tcOdO3g$RZ0NpvMDw8aU>we-(kB(7@9uTWbxRDeh7cuS0=j
z`glgj!_fLzb^v{x!kohT*aI9qp7803>0|b^Hv0Gu+@@@k23;LxJakq>g0TWkYy`P+
ze+f0b#drgq5*L^X;_X5phKVuWqS~&H;5w#BLi_Sfvy>GnrK;ceDMa(sZ`#(|4<uTy
zlKvfhi#efCQ~}3)_1{bIClv5~C|hd<oG#^3`>u;rjwWqP_1-T;VQAGWJAmp<VM}4v
z`*(nYtKPq-C#HJY)7q%s<Dpl_2Ip0Af^Qhs31%>?K<Vz%-CxmJLgS9c#n2(*m#J%?
z6%sIvuKlrU8+~d$IJ<%x11j2|D=Y_9w7*KU{C`ulghEk88#C4a8Nr`WwBJYBS}WQV
z$(CAnUC9|!u|E_-Ftm!59YDpVFr=`G-M?L`*b+T470aI1M#Y{C-L`{|s|5Dq|97@Q
zgJcEj)(F3hE)z<3D)|zs*C;a;@KJDM*lfcMs_pv7HW-vis$umt%XEMDl)^Pv4YOWM
z3g44xxms$N4K+x@flw%_hGW+HCkg(98om}~YpsSeC0;7yb&+r|Wsa%jBSIjCR>`sh
zsN@vp6jsR(0}k%>zLTDqN@h>FDmi<}0DO^4toPwt(Oj$e@1{pnd>DlO!?=(>8f71L
zO1naaUUTTW3Oe?bgwEY6oyQool6!r$r%8tf4`bcGQ*Rs=*OOqR%W;Yr3-;oD;*R02
z?e53>183NmBqrTycQePsJ>>2?u_<p~Pc#-ZJM9V<NDq;OZj829I&GX~49lW?KH4fv
zYWOB$cRtz@IAMqrbwM}URc%%}p;rrLal3INbQ;xeH1^wet%EJ4k9Eaa*B$fG#1cO*
z*=(cz1e|{-2$5LFk10M(8GWC{&q?vK)2`vywy;?#FW8l{^cKU70<QLjZgkONvl%v;
zp`*P#u`${fIF+!`sh5}OTv-<-+v!sFR=Luw*U>aUm(#q&sX45qOy2=0Gj;-Gj3^q^
z>>ywTTlrTN%QfemQ|q4C6ivEzEtEe;qg~Fj2U>-8*a_m&(W<l1Swer?&)aP}eTW*c
z>~)k((1$`DLaO^nwB2jq7+e`gN1JqYG%~TBaPjc9hXW7Kd(D?+r`>M0%PtNz)toly
zOrYYr<!A>#OsDlS%6jQWGl@5eF8r@UMx*V#-xvnjdawB+(Ky;kI0PURe3n)XICZ0K
zHM_CYv6mcByo%qOoJKd=-F9#St6Hu)EyxFkq5a15k-Xd*6!EIKhsRm;mf>kc+wD%+
zEXPIBCJ#cjt=g%#aIi}V9tg_{kiB-=4Sbax9qwQypl%}|_Qyr7!0A+*<>fkw)J|u)
z)eM}n-jYd4B`lxw0xx7Dx<h^d9f;8P-q3JdP6+o<v=zt%m;yF^t_1J4iE8CVuLk5W
zO)sG*41(>|R0q6apHm0Rr`q;;^%Ekxi)Ixhr?CV<ta)`W?B2fN-<}(dwzr&C8DtSB
zi!sbrDp{}rJx!0ua>K9{9GROtfByVz>jFL}-@tuEOLJA{+#G5KbKU4-YQaE3i*o2-
zEemt6izRHQb@(MOdj%-Fy}ejT3_~UHFni@NA-+`_%z93^$cAyldJRKNg!TevQ8jeC
zC$>a0kjZ*kO-}`WIcSlDJR0o`F5pD&a@qBk+#3Fe{EpO`B>G!}y4?=TZ|-1T2O!jL
z_M87K*P6K8m6LX+;@b4BUEJQpCMBrMNQl;FJ1q>c9ZD(mLeQV<fkz=d&5GApgbYZ<
za1p7BptE4s+v(I7@Xh-mynwM>#|hEf#TDG^ezxq?ZLe0gtJSu{G{Ym&W~Xtki@j0N
z7Oo;NCm~*5ql!<xLYP9kz2rdUKp1vmAc#u{O$kw`I*UQ~0Vpw}l-62VF?w56KgMWU
zR9X2r74m2QgJfGifPaE$f{JOIAXQ>7<^%Ud4|GfHJ*>?2?nE@kfr(Y}D0a-k1CRF|
zUC;a?V<mso3+l~k_YpFXV>@6DXQIcSrwI#uLy&wFV9QR)xM$oYe;F3se}MkkgKHQ3
zOX(l_#x(mzH~Zof`zjQ>u#(+7%B~?`7dNo8KkOJ6+wI17#QC&ez^6S0KCN5%w6^6_
z0@bG^t4|TWPgww;oJ^k_(N45Yp9hSI+bSL`1xW!I%S%Yz$$DH`^b%eVGK6_kU%*yO
zqw1bSp{hM$RGW~avi>hJ`iJFehh!=*PWC0<Y=|bIj4RC!soHKd1<#}g`34R!$m7RE
z`D2j2cXaQBI>FZtpr9bk0qg(`2>II{TnM0iWNEJ)-lVR@IC6{U;Pb{cF9<D|i-6tC
z4Krrh)&i`{S-fdD*IAtg^f<u4*N;1}uP`g2I^wjFF3ce4Y7+Ya4w6s%FGGu5cWYER
z5+m#i?P&b&qj%09pTCv#Ao*7(MwCm&&Uw@Hn<Y5nqv`OV#gz>>5@tsiDVrw=%=kQ|
dikW7b@*3=O(NLvJq?9JBWR`^m<MU?r{{Ut%gDU_4

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.profile_builder.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.profile_builder.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..cc2ec67d798243be6091be341606fd5b041246ec
GIT binary patch
literal 267594
zcmeFa37lm`bwAE9dk@3z05$^;5O@PU4FM4tb_NDvWEj~*Mr>YpzvjJ5_v_}p*T4`^
z)WnUem>*3NBSz5}x5PDSG@58!6HWA|#w9LMV%%|wNlbo5^FQa*a;xfAom=<zYn;jF
z@8=`a@7`KYee0Z4r_MQ5_uiEcF5hR_KKQ@%fZklI-MMqLF*(_poox0N(lwK_6Z138
zPJiKng-y>{xM!iBuI)DN=*`Y|Cz=cCK2Tz!)t;X0HaiP9Eu{Nn@qT-{H!AC|?lmX+
z?b(j5-dfpO)mnYiLcO&%UD<E<r<=yB^njh+*{Sw)vv%=3G}`PgU{NT!;@ak&NJ75A
zZ!Zv4(Ci`Us<{Tx(O+mCl&&4qgtwNbt0cWU(iPL~PIF<${CFcBYV`Zv_V|1s#);!v
z-k$8?7*<bAH+nsI2!F5aG-kwKYbNLCvLEA(iCeqPDJ(OeuI@K(!B-2d16sqa{aQ!1
zmbW&hPdnwhUbEXf<;thsc-q;gpEB2-O?szHHu??t3y0V}1t{#DA}F(7jH(hn_1D<A
zfMc}VgV7zeec$=<);{UVc4xAArvaZpwska&rgaS9b{zcwc=-Q`@c&IXG61LBrt#F%
z6?2VtcOe~}nVp=UZk|&!NmKoHa}+G3n?;4qk>y*fcJvn-^R1Ixn+<SYQV7mev(caL
zHpj-hjm|{N!UwS=1bgZ)jnCZfEr=?NvU5vqb}DvI0O>M-bZxp8IH++;w=vf;U`?M&
z+*pHwH>Yb;vt4So*X-BEch}mJ0BU<`H+DENJ6-GVo@>?`)3fmNj&{FQYxjG#ZnHOs
zVsLx2hV9SvMg?DQSc;Z2f!GRwUnID3N9!o$`5<fH{9FJ`y9dsT;u@HrQK5m93JH$J
zX7p7(m>W<t>1EgSyYmysRg+t1r*}#ws?|x}Ywb=Xw`^KS&y8dLQE!I}UXc(p1X8^M
z^zMYgeM(*K1IiWNjP=@}Y;X`pnHydK3f$XSeR66H)DQ^$mfBTwsEHfXyXG35$wqH<
zVz%2H6)#7xp)xns&a3U1?KDSfy~fPkbQ3zet7%khclue8nRaK)Dh6+%{u!s9daA4s
zxQ}%k(CL=i)bwlv-<~>p+DHv+!c;)>)C-U%s;YX;F;K-ux1IT!x!t2cbGO^roe?lM
zJ3DQZnwg*Ow?Q>bG<!JXqxgDsC;TU?0RlQd(-|YZY1FiaHA^U&-Sd;(9g{VT*%nCm
zRL7f0-0Lv82hbEYI-S`*;$kj~=_<j8N;RmTnLMuoQJ9XC=XC9zGt*moa}8Xi*UW(e
zYIbjLE})nv(8`otqh7m5sbK>^Lq1`>1JwoC?I*AU(*)OAWsbB~rYG_fq!$N;Y;<`W
z`e%osuczxkEH?wrL|eKZNu}we-%WEBZr#=TO`L~&vUzCTt;V>P#^?_4abD3@!wI~#
ziT@pr_%%qppnMGy5GMM5AJGRB(X_HP`_1lj8;q1}dT#hF&`tlp7W(yTA+3bOI-=*x
zn5*=RN)x49CceiNYRqNfwYp)&w#E~iRo@zB)pS{Bp<xOW3eukfPri{f#G%B9*!|pm
z2NwFAie0uv^$vg8y?&7EbuQoQU&>xLq|0hfQ*ShzYQ04nE$ML)3$TWAzqw{-5*N@r
zVV_}4k+ktQq-#`bPVZkfdk<TDu#Ia@P0r3V+MR`T-?`neJAemhy~3`CRM!F(={LH!
zH2biK=<dKs-n~U^0v6H};&d-ALc6z!W_RGEeG%aM98B6@X>^wD(sQ%R8PboLA$>B(
z4>&W}^p{lA8nPpThL6+XFPRR_4V8gm>pK~Mt?yaTG2NP2wjPZD33hV0BL=R!$)-6u
z5Y#L~b`YngZAQN@ho_P+AE%Sp9i+u>cCHEb-fY+4*L2x=n&k5wl22kuPM6K*#4f30
z6(R2dde)|^+8x^EXKPTp0<Bs_hxlQMe{um&3MjUz2H2Nlw>PHen>JbLA-(yzx!G=i
ztT)r>_HUb?MUTRZfXkEfG_?-O1`{cJ;Po)9*8-kzP;8qXV_DZq{&pGGDvhXasF-y|
z6*XMznLX;Kv!iZ#c_FzDD%p}7)T+rXd<R~pR2}5!m)@8>Zj5}rg^vU#uL3ePW+QPA
zPpC0prs8CTKI^DZ#*^JSM1#68c^OZrA5qys9**U}OpZ|gA>ToHB&d%nAcS?@+j$x}
z5F9~dSv<gj^W(`TAVAA0qv8IBB{Vq$Uc35Ms<;9v02<CWX(&{1U*Rda!lk58t4RVK
zJPq~;E4E?Ab&ykO2RMb5TFX7R1^VCE@di}ePoPq)YTI|;^6PCPJMb_Tz6q!{5+GXk
zqXhVHo-kvEB2`(W03Qnd=6sBP`Ql+HAzx>(V`b&5kOo`6(5<CdZw39Z`Ry{Ek_z%A
z2&^PuWCi%WZ#nte-!81i=svbbdow%QfOI{B7{oOB!-hkL@4&C&Wd|PV!Z!iwT1l=+
zG3>m2$+!0Cf6HktZkNRv3$mBuMe<&P(CN=FV>}ooWb9#fw5*I3(qPHha&QhS_M^XT
z)ZfX|Q9;54c~vCrh@cBQCtnA;Mb!}VFYNJtiXCr2#y&v|5+`H-$amnEG1-Af#_&x*
z#!9YWKXF=e_<hM%upbh5PH%qc;$bKuUF(<IsM)=<(p5-<C0)z(@&$j{oOU!%Lj}na
zq*aluljIIIA_9~XwV|x85;F6VJ?OL8K?lU^iBKulK-|W6;1@61fk(XXO+dU3(|cb#
zQYHb)uWH%m)W+l)P9HWinvT~<(=qF)cx}5Ohi!NlJj)a6$5wWbhhx13n<E_e@LiQx
zMow>4fC=x6U&d3*0pm!kU+?k!Swio<fhCmHdxbPudarP2{63zN3ffN)=-_EEN_b~{
zYT1}}P6w{Q7L@iAKWrKQ96Q{A-upCEiq(7H<U8=QpzOe-_wY?X?_~j%aO}Ud4*a>(
z-(#u+f0n~JtOJKu*uXf1`f-*W<aOW?K?ogvcsSp!!RC=`1k-b|Zp;G~){Q6glyiVN
zvh3H5JP()9jayklS>0GjLpj}e9ZyLG-6#lj@HChvtQ(Il&fdvs!~M)UN-NqAZSB}$
z2OQ9j2~>*Jj(77N_?b|4;L(owCZHV`84>wEPRovZF{Uh1&db<>FU=tu)`PF(3H2i?
zJIL!n+N#<-@lL*j@<>EFRP!K&b=${y8aWUgS@i2Ro&!thwy(2<vbwF1hH|>?Cp;w;
zbeka1!P8)mux`6%cJNt;Ic2z7cB1s4{%y1S+Lg9SaRlGbA1k3!tO`7g@4(NivICC_
z#5VyIxK(eA`7{+Shf~6s*A$sPv+>*P(Bt4|@WT=)&P};_2rJGDc|!g3AUnvzadu^h
z9RqU*PgZ&S7C~9D0h$LqtfU+K$T+|qrNRnfKt@U^>D?@$tdi#C6lf@?r0?S?si33<
zfexMqQ#neyxZuN(xFZv)Wg@Rp=cWdp!hyp@kd?TQ4q>A0?05o)K^Cl};B-~lgu2%E
zTC37EQ}ff)lxo>}0JG{QTN{yt?aP3q2I@pm$trPrVz$#a&vB_!6!q4HI+J0;#SJ+4
zw5298^|stBNWEFAzzykY`971_>``ktdABoJSqffyfUik7aI<>44JpHoX(MAS`4BcE
zvfNfluxt(cQKuhU!@|)f%9#{djgWV^S>zpBfMa&nhq0OA<gehLT-@4Vh;$WYN=}qW
zb~N$=lg~i&S!$rpty~9<Ht(F9ZcnuP3ooJqcQm>k_|r(QOx}u>v((Af1GHqQoJ@s|
zNT}SH?j`B`$ezS2^W%o3IEU46OmHG8`8G}xadh%d{8KP>#<C}DgY#J8Ko|tPYdw9$
zhfee0kt{gzksY{-Ev^|Z`7!o7oIEN!Z*7b{OSL!6h8NlkF7NdE4LIG_=r?QqR<q_k
zhEOBvqGNH5+AVO#ts_C#hujw3PBt085|i=YWhW!~1=cuf`*N5`W2|e_p{aIrdUDJ;
zvmi5u;e;x^Hk6Y(jiqb4iS9!?@q{0qgXk$c+kB*l0u2o(8&(O9j$*3hP%J&19EAS}
zJ&z{0reu6}a(9kWc)e~M7KvuxKSn%;yB0@326}iVUp*7Fb9DxPtscyy-c;MXxpoO0
za;^1eYvXX-Q5>?Hlq(3FVUzlP3<MR<NE#ic#(@B-{f#F!Zf8g1mZF};)0ge3_Qb*q
zlShCLNUJ9Qj2wZhW^$&$^>p|L@Z6B@TdQXa9L*EHvbGqm`MXbgpc+_nX0FxfwR`5!
zm<(_^RHlSI^rt$c*lV8|qQjwGC5HAC8d|uhxe*b|re}GgvjKK$dvXmloLmO~@gj>^
z{)vWl*`^{?H>4|TkKFr!bDn})u+ZO-9^&IM4V3@2q{VEhX!#jVPAxzVK^}!N(D=zz
zG&u$SQ3jRNBbg9wl@V$@S6Qn=@+}F>j`^AKW*5&Zi`PArp7~xA&!pbc>|jnku5D77
zge)az8U4WVv+TU4Qajc&jScbhi;-eFre3s|g(p{u&GTv4Ua`SfW;dBVD1b?Jnq$b4
zL^i-#{9Io0tDMHd+-xxZLquG-sLA-r6ci?X;n-z9#(x;fhOr^W*TCc$KZi?z@jc~6
zOY(}I_q1$H;Apr1VsUw10p2CW<w`eqDwCNj+nx5z{7el(_m1pzo43uk;fyz#Bw)4-
zNx2c1Nz`q@$tPh+g`9t(p(GLdB8=4J?J$pp*+hxZ=Lj{g2;nQUn?;Gx51q!sG#euH
zJt8h#w6X~O2pSG!Ln5Ss$%#-7mw*U)%AH<?b@b$?m8yd<xs((O(`O2hFDXptX4z4-
zI+}d+pG~v^T@5z^%+A1~G+Dzp*-`{c&}17<)cY14Gq*}gjrmAJM)LB6)ixuC87j;Z
zN?vNvR=`rjSMl-!x540rD#F(we%Mr>?KBsr+K`wh5qaUFl_lmJXgG`xNsNHTURama
z)ezw?dwfr=GCm2vV*}fL79u-drRTAwLUytuvf^e3JdWuaw|7+;pJwb_b2+{a=sQoj
zV~T}aGesIv7<8H2OR+B7STJ)Xb=ifO<y5P?IV*VE2kA3<jTcdoO2aFAoT5H`R+u{V
zhUhsBOR3Ufe?)+I*L-{xufq;?Mn+ejD1rCC)YDCx`2$XOVZ~+Wxc3qH;i8pw++RV%
zVf0AHY3OoNl0z;aC7yD}6tj$mEsZD)QsVYfEF}*YpjuK&PBF7zGSiu^zriIQeR`(H
z&L<RhvW#3R?S~o{VyAzPW~cBpD<SzQ;o%h$d=)Pw1$)b(HFjfRzBWW)HB@5b24)ms
z3T(O9z2$z;a2OjB0S!z}1ai0pM8H$-h%jU5DNdO}!18XZ#Vr4$!Ls}nGRL7-&z#jF
z37}WIiUM!6KBz~yGN2R~VFR^W6z*$hyQotpq#)?u8X%H^i=+7|JkLr7&L=kW$^gEK
zmx04Wh^WOPT)-aP)0}Rjq~%%~M!0C@1>@<^a2Q3B77bxeT5<>mq{UP22~j+xkxS#s
zgABQS70b{$1=!}64YtW-6X+_S<AjLq=MzLx3`rCO^O6HZ(fuM?9TG)VphiVUs@?zB
z+LeyY&p~oZb4)IWO2T{fO|?3owW9A1%VcM(adjZXd0MlRa3SEei)m&wK%RY3ppIK<
zIBvGx%=K1NJxCY4^oBZu8xWffb(!Df*yPj}xTi93Mc_yc4JG69JlFih*VeUrpm5Kp
zTLp!A(R!Jt^045*#g07qUP~2e+jp`0sNQ<0^-3%DuQEK~GPC6Ex^DUxd%<ORp&68y
z<h@2id()Cmshr8|s+yBabSEok_hKFBR#ppA{)Ij9pVE`(4P*F|q&`8)GV+8h-+@12
zOLpMN!ooM!dYxgw#Q(_DaGWh*4lp%rlz!s$8n*^Br`4IB`Q#N?hiE<iAx(ip2RB>c
z^-9Sy+@6$tgqk%jP<jkbQysF_p3<m69RQWUe`(x(7QP7K7`_8P3(5{WEQoIcEVv}6
zsm^rzbMP_Ktc>jv!+crRZ5*$ip2Iqv5PJnrtRHLHfk!}tE2HCty@BtxJVucxs`A-o
zN<j0Vg_Bxu<*DaDbHv)O0eD_6k<|J;mQXgSwUCB#Nv#j^lvGG+6$CnX8jO=ylf`8r
zuhlS*k`LoDVqL}CZNfFw9V^krIBc622;aSX?`EMe(^<?7qNyL!<&Yz4-&H9(iqjA8
z00KBKjzlhb8xraVB!e>f697qM{3dV2Ortl!e=OTGc?&#=zBLn)d>=^OhBY>qGU(}|
zXGjK?lST=bZ^8Ma?8)RE(4w*w!GZ>3+e`u;+1i+%n4hMkKfKHyasc}fCTmahYOpD&
zO*h8j7JS_Azzz61$FE!^ZJ;Dy6R>_Inhj7z;Z5~>xwTGH@+CQHP-5#~%WF?ba$xRJ
zJ$an*EH(2Ar9aAiq(P=l(of1DtWpgh#Y&osKu(h54FUw~Bq!w_)%hf-D_ncOR^KVM
zo8lIF^3aK3^<+)lPcOcu(1A-l=>rSB+GKZjZmucw3Z0Y=xB1xZ#JV9NA!>siwpC1j
z(-#1vd@|u`Xe$t+##fdJ=4eVgkh<Q2Mh(SzYEN~|=^#7~bPUN9!Hq<4xTvXqOQi@N
z3k`?yqWypdE9alfVHNPtdCHv-$w3;sG`0pT18#rW65xJxMd+*HWJLkKI2AIHa2XZl
zWhf8;Md!;B20)(<l$op>W|#1cE5G)2G)k{u8(*2-@JUa(7$<_D1jYYS&pD~aj?-Ou
zREE6VO5}%&n(~sI0fl3uKXXtvj2_90hAt;BIphNJ;wcvq)6}p<20-0jilyZ00#tKS
z!ZxWq*}no6&DnU^s`O;ziWlk0{(eNO(vz(gdbP6fRKFd}Gte>0VABgQd<Mg=SQm`7
zO1Poj6J_#pcTr|F7|E2!ntTv>kv{Wa{9fIerQjc3TiqHX;gcsN<aw9M&iAKGwx^~B
z=V`xaQJ!|BWf5-m`~6lpjc^v?h}|(6Ti6o$Eg}CWPey7oifOpnAq!7`dxt#g_<*!r
z-SDWd5CfD6ZS+G6E$O<i!R(u=)mC7<ul&opZu*A3!B;M@pe<|W7{B!~oF_RwnVWq3
z06UkBXD;ORR^w^`be`JW@NarXOE}Pf0+nLDm;0{c*sbMv4#^HY-b;LAa<6g!`yxNd
zg%ab~;b599u2CE7!+9tSXN_q(n4S*%?9C#Hi}Q{g3Pk5tPQRZ{%$mJGnf@Eo1@%M0
zLYZJ3#VfoVuj{-EJ`dv@9&`Ud&ZIHNdFL<ZJMi<j?7+j{_$I*L`-^k~_<9?y1QL-v
z%Vz#@oBhU|rftP<PE;iOWgW$_(ykn=VMlzIC)N+E>>v*bEQ+vH+Hl;<_fTFMMJH9E
z2)oxG;0fiRaAc9?_5d@MaIe3aC6slq^8x`hlyk3tfTyH_dtDId;A!wkUbhvOMfZAU
zQ6)dXr44PB<n6GpP_97u8l*DwJj;`hvA@a=zJi>WVeBtK=egw~kCSqy`-YzZmwX-|
zSrTXZ<HKgW_MD6PAUEw7q}2g)!+XxRZi7t}<rAXm*@UkFPBh^ZbpMVf9Ev~9K0Ys;
z=^}(eRk}_5hLCos52P)v^OAk{1NItD_Q8Lm4t~O(nEdQ}lci6y^-C!LFk5-2dVRoN
z^~aULQ+d@7#!4Hd#BT?I8HiW?Cd>Rc^IwgOHS!H++)rODo&u)D<HeW<Yw#_7y|~|M
z_lCgh?oEbuwieP9bDnAzr0wUa(Ri6IuwTHG=3VR~&{n|3j;~BMcXg-jVh?;kQ;sL_
z)*jcTPKROZ%5WiGOallPH4U*+F89lz;V^#WLe${pT!=aB0xm>PxhGcQERAGZtv;wV
zmzHc13Ay7p6<}{T8c(32ygU9pxqpFtQdqA^%G47$%0JO+bZ%+lXTaeTay@nOB9k>?
z%-d0{$Q{nJfH;%W!`u{R2<4H#iw5fT$m1)s8(yFcqh*7%VDu!D8hF5IE=;u{E-xeU
z!bMGSNp6I~u^#sap==l(5*H0kPF!-x1jNNt?&LBoq5(`xRRiI0doC7^I|`7_2?yJx
z^1>e%(W>;q;|l3IyG_#-36S~Z2T;-CWqtM4GFwG?4AgH8EOF+Sp*fS$!|aAM$QyaS
zfRzdsbmNw_<1)!tx}cX`TP2dzmHRHLtR6xdRUCNY`(=g+cHnUG9m1K1L(U$;G2q!-
zCuWO+{|XxGnTCL7an1S)v$zr~#m}Ol<l<Zo8>5M;s>!6TEzo6003F;W4H%ndd_!?L
z6*WWXO3gU0Fl5wBS@NZ#W@@vhXVMcjyAc=^Zd|0p8+Ozz`3UUwXz@rsihu2dfh8Z)
ze|;SO!VkL+HbS;TZ2bloBip*D7@43Z7$r;Jv^T_l)F3GO!yJ^^m6@!@HfdDONVhpN
zdwX+ivfXQpPd6vWrluRWY^jYyenIWL+P21YuSuaeP}$RPrDuB<E*iY5I|&>A$xD>m
z#*EIvMUuG3R|-u1v~^bkEEisZ_z2yUuDch`QWm2-witJTVHQA$tzv#G`A}asYI6K9
z?WuZ>hPy=g>>j8T8$P?A@4)Z;l^u9Iy7<OqEhBuk0-0Kj-Lsm}OMC3EbJ_}92IgwU
zgtG(%aSrr{2}7q#zki!Y1AH&BpYr`{cEGHEyO0LUzrB(ai{eB1%Lf1RJS`PG+=9gL
zvTS;|cl*%KdwE;v;m$Ntawig<_i!J^X-{{b37gYkc^jgiu@IS?iAeqo_8Z5tKaK-U
zxyF6CWwVpq46QARYy3!VJ=D%|F_q+Qosc+to#V!)=KyKJ%LEzi=gvLX)0iBwKQPR2
zav1(o#%G<3BTeGY;6r8Q0)sb^Iag{lU_EMf&0rT-dG9;7dx5haN1;n$J)VMpk@ZM_
z1*}I&F4(D+bF7{*J=*~5q&qtUw#r0*(UzpR(pR5u-o7Y%(xxqFSBfRH#n@_Ne%`d(
zrvu$1;Mnd=wZT?HIBIv(@nbOAc7Q9JEH-aTq;l)6TXpblKf*!4P*V!oeyF*X_MK0T
zW>uw66JYR5bglFqdxLFl11^sqXQ#UNci)R_H21NM+|x7$K2wUfdNcfz>#-Rp<BL-9
zIF69>o*9!Xkl)38XX#bOLv(6l33~`L><|K<j%q_CPB$q&!Sk(6Dr=l?eSDb9<(M+^
zSBbKUi`7qi2)|ur2+t8@MV)4SfbYO>(8>-x1}(lZmj=V2U1vzX1jA$4Vj*W5-{`dI
zSeb^M6KOb<3824DVCfkuzOjaC;C;86)n#`(gZZFS%NdLxZ=MKPraVBRW_9}hEZ=to
zkjY0O6@pM!Upy#tvQG@dUcCcS$a7eUO~Q}aF|(V5LK>`1f^pCiw2=q>We3>&V$Xb1
zVT&LLbnrB0F|VqM%i<Qnr@rkZm_P`YJo$NE43xGtU5$mO!uBB0Yux7GNT4QS6;PW4
zA7UBS$pyfKOR_n5g4b*sb=G_IkHXp0z0{VWP0dA8jJ=zhy0NP{1-|wG_p~?q{cd}F
z9zK(SHh3-R&34H01dm{&yBqG%g&=URIX$I!J*Deu?oBR3&K*uJjb>os&)=)(<6=2j
zn2)8;>AA5CvML1lG_15y+Mff<>A4uqOp#Nts|PIBxn-nwQD^r}lwg3ii)1j$)zM5S
zQp;{{OwTvvhi{x)><UfU`Dh5tSknbiE1#xw8$1o9>EJ8Nrg4<Hou*?1-27PuFLs)<
zmpoIagGi`zuP-3-!bMFZuT&CF3Jr(Rp{xP{jXla`;jHM_RvDj!pG9_+;4NiEs-Ift
z(BAgXs`UQ$66hwcg2J&m8}Ej)70}&xMDOGAPkV%)sxrbDe3ygFDsbs<yWg)>>GvO@
z5@#})d|L|Hf2xM;vTzFfzgHQb#1(cz?#<fx#?l&rj2ln66C!n{o*%fWBT~x_CvJb4
zMHWgz>lDl(swsIU{8lQ;C!t*`w)nOBC7IKURtotXFFQqB&G}B6NH|enm+^ijLwO5i
z?u`1WVIl=_+=2GIgmr3Ia8)YW(a=_4(ZE;M^s}mM1!AFOPyDc{KFet?OtrCSoI&J;
zi&hrCEzocn9a=O5H1?vg99*1gko31b#+_BhD5ro&mo}b~D}1}qMwOnQIWTl{4uoVP
z7GQ`p<up%@^#Yp5Q*LuP8PxNamaGUn1Go2LJ#=IN;5j|SHmUOcS`pe!W{jcr9GO3K
ztx$x8m*Yg{`@OytgUWorKf+1{#=fyhJZ`7>3SL*-Vq@6pbF*`F(bA;e7)F)NxFf1K
z@Wh{&875_ay(@wz<m@3F1D-uAw@>O9>zRgtmYy$^8J^m*eGV(d&tkyAvlu7T52DGg
zx}c;1steYb@6e2f*EdiI#3bJ;E~ioi5$#e;!s{5BBB&e#rBVcycSldYCq<C<B20=P
zz868>qYi?<D9B5H1%kXXx;d(1i@>%R7CZVLxO(jv_`~`7ZMqsh)!c2vcbD*Pwq5B}
zGHkxc`>LUpxn{S&8*Z$=WKl6)Nlq}Bo4$E(2xRI}6lDo+^gBLveV9r!ZoF3Etc^0`
ziLJTL0`4)b*|5wh_c}(5pQvl?jX-Ci;?*XCU~%c+Hb|H0;g$~$XHX^Euo;@_EW~d)
zl~##-0mm(H9oxI<R`O3#)^DcLl2K@MNqqDLtcsc&o%4H{e3DoGH{?Wkz4C^=b)ZZ&
zYQTvr>r8F_h32#5Hf(%2nT?)ou?B8TPQ@A`*=Sl57#3r+rDd{_8V{^Pnl&>PF_Mke
zD1G8fR)0QpDpsNw;9s;7(O-d;ND{o5bffF#z5P;p7oBc2phP2^s^HpGoM`k5zq+^E
zuj}t&vtLUvKFn*}<^&O;n`A!HNX`AoX{cQG{YIk%eE)QA_b7a<q1$cj&e|N@M;i9G
zhppTU?qe-UWRSmFN`kV>Y<b|*c^=Yr_l^*vi;t6j^mqTO_=KjvZsZ_6A!c~8R+f!q
zeA!*@?u;ikE4@dvgKzN<By_wJDuMsd$dL)(u>VoM1AmT;?7)+#gKtcW&d5n(KAaHP
zMlv;Ql)mEhY73lcq?lVtCLN#YIWDK+i!=oe9sV4B0j9n5nItQ_3X|a8O3fM!cub*&
z&2gXgWpv4Z)-xO1U-8)b$MpXMolzXP-@!J^IH37CP<G(qKztM6!1ekTDO`ahFpi5C
z?C|VvCmV@lc|wh3phzyuI*MbeqksTguEXKdGk9YCsLBrVka)gGzm@NxJQ~zTRUpFg
zx9fR2IUpRFWLZ7Hi6ye<IxL}V_8cz_Kts9gxqEp^DrC<I0v$XJ7GZVV32`Q3PSNE*
zVlTB_{)H{*FK5ReSactRO15x@7v0zM9r$@tcHm(&e6utv?*mTDj&3$)aEVmjdvmCU
zRo-WKV*RMf4x&`v*ZB_0qftWT<$(yRyr1%PazHpD>Q{L@CzeooYY(v**JdwP<rUIU
zPUQ{rlvGf8f<OmPgGE@CcT)UrH>dW7vbyvREE@BXt?Hi0jys_0PK8Rbs_tUG13xdy
z4m_$3-vm_MVcNR0y#l4}yc?W8Y_2p-^CePx*XHmIE4^EJV*U8a4)RKGy#<})3f|3k
zW$<<+E>3T8wqG8cup&%(iaBr`!SyRbo=;0C!argOWffr|4doQ!yLn0~C_+J?gQvkP
ztRj32K4SQ3cEkY{_(`Y~s{+5qci`tj*?~s|;+ud9T#}C%{><s`F;|B_&S4!^hpP^?
z!EuQ7V=X(#t3&2fg7z|cDBrEY?UAaH={ZhK=0OXq$rE|%InW%j_Nz&rmrJP03s^!~
zHCaeQIW_rIo{|b`QV{6iX)sP+O%|8M17=x3A$beB#?V1;A22gc)8$3Lm)AJQ4nD>}
z%B3dCQ+#o}Jq`VH+20Z>bzsbgK!#oNdw|N41fv57#+-<Wj7iJMp-}J3r3(`#iobGs
z_&WNuJ6&GuBr@xqI<}0~V#)8~oDL@o(NilUz<X(wig5lNIat6sf3T|fQbqG~gVM8P
zKGN7yOz@3mfK^F)e~gtjD%Jp=AIM$F=jxzUtseZ+J*CcHf(NkR^xk+=CCGcfIcP+$
zBo4+C8-|ZW!(b-q-4C_$XRAI4Pr(M;knUTnJ6jceW!XrMVzU#-nP`t34^zS(-<O?^
z9s9%3=a>p1zdrZ{8c4XPX)}~Mh4mF^IE*7D)N2rP`QAAU1Nq*ba)<aBM+235UxV^-
zTgsHQn;|Ha&v5dA0^|^6d4}YDRFpqMvek&D)#?x=A}QE0KQrF!)@G+_;&l&2Vjd2@
zwmY?3nw@4Bz7PvHh@075&XGeaye3)7dZw`<U2*W^Z0-$nMtE}7S(5#st$>i=t9T(H
zU!|no6An7jX)H{$!T3)g;=)Bu#!r3(6Bv6yZWA;d#)cSQ1CwL?94-OI_mmqg$t!x^
z)3P-|T-^SP#bsRq-X+E5N;fc*$;_4QPJ3p4rUw2bM|Qf++veMFM`R5TWWlZbLsD+M
zN3Zgc8p(nA7aB?up|NOo46}(6p<RTUcb&mk0~4XX(^yz83=z7Ghzl33EJC+K!(nVl
zgfuWY5z65b5Ft;w)2pzKp8T{@br2?(l44=Hp#b@k!gOxtwy)Kv;gjR^pG~v^T@4?I
zo}Fpm1yX}=vZV-?AUL84iSj5G&Z1*F{iW2Hk2GW?FMkrvdtshX^6~}(#w#!QDqdbz
z;9yk@L;SF*{*cpLSPTq_`AZ@%T(q*pd>9%IqeBuSps}pa<eJrhiMS<fnQO;>xyk?~
z{;bJc2<`W(^!)9mg7yd1puO9G);&nQY=g~;VTLexN3(WL<K;Lzpz%EAjwu#z&Gu<T
zVbEr7FU8vIbp=ybQkw<7(7khMztBAzJ*QzgRa)#MXe(ei<EwZrmiq`df}pgT|D~R8
z(#>0)?xHyLLLxt0w6d1F6dDerM_Nupmy?nlasesvlv{!?bi2J2OUa1^sOF@EZBm^T
zeow?MR-QIRk5J@6!q-N$Di0DWN0>@j=c$$lIFy%CJE%Md32D#993;f|;`qjc$X0ZG
zgZ>H}-&o{9!s&_WW}`EPhyTXFq#C=W*&iEk^qOP6exu)8^hpkEr9Dy82Rd$C)G0%j
z)<vA}_?7>B2iu)>++%X|nkJsk9FhKzu^w2aTkxK*5!mldPmhVqm&9>0yt!!vjv|d-
z-MpoF=Qj9+0NmD4Z~z2e>*FDrRlKFvnNvqSpbfMQchP^awVOQG-1g_^rklIwGIH@Y
z6A=Y7&nvE$)239i{%vdFw*Z5hN<XYxRip;bD!xhAN<XwW913N*Aa~jA#)9I)sx2sG
z!~6janD4*?e|9DVJ9$4g<D5l#tM+@tnWc;?44>bg#l&J$XC(U{>KlM8Rq1re=UA`<
zsSlrqO0lUA-{d>+N0wy=p410?W6Gd$x@4`MQ6b09?gw_GMhTnce(tmymTc2#Vor}3
zJ;enye@2ix{rY3+0-W#yt&|U*7WpJKYcSA(F0bd9$MQ<cU8(iVhVJo)*%J~qgbh$B
zmVxSg2Yv>U9e5ZB-vk&a^Ka)_$K&rl-)YGixe@4zWE$!tj$O78fKHEob`eliWS8G4
zy_)Cw$!J0d=7w~g`ON0029K(Lj5iS+amU?e`40U2Bs=i%6TS)X(?+y5g4T}&D$i=-
zNWP8AZ#%s>Ghd$9%3R9*oE*C0?5p4B3H75ZJIF(^985<iuKUM)2j!8VKH{V<2LyYa
z;(K{YOG2@qX+S%ee4Ov8JSKK$rNHrs2*PHGh;b+|e0BTRomvjdv+xCofF;MnW3YK}
z@caqib$L8XX!abBF&9fNKimek1Vqkyz^YXbnnE8&e>-ZJC6vwD<25hj!<5U~+sso^
zA!|<%=-_Fv2y2cV>BdiK{~@=&xurB8@|5;j{)N4KY-2|qu<|d4O0h=TwR{JDVU-<t
z*bCoS8YA1=lr+*3rzJ;3jCmTokv2sDIz9R&jfVobJoYPXFJQ;ZN?IWe<s|LpJS7z*
zO%Pa7(w<b!jg*r?Gk{tcQ+)@EK|t=_LTnRf%zlvXz%O^Q1CQL{n}FOM7vXvfnzTb%
zWoN1Vg43fTE#>9Y>?+Q1`K-X(0|&mb;D|C@9(8ItL-NlFPlVTS@rA?xhwr;QoT8Ib
zKpG&0_X!6dVMAL6q`VF1gQCXw5P;&rW&14K2mi-7ca{p1(|L+n#>r#i@mO5McMyPt
zL863RD;eBij__%eYk4|ZAfh@LUqlB1Jz-l);cZQSNxIHYzwgw>^ZC9b=6`XgHUtki
z3%K7P;@7AW2GMKTF|!6yAr0jWqIdC>R4|AHfexO=EatZ!#bxopkS~g29~j!eM%MD&
zxRS~{Yyan2Kw=INwZ2DIyZSns>?Lls`V91L3vGC{`VLR2Um?j3@?aRj0ehSF?|e7L
z%tmfjjGiij!g{#YJifvr9)!i`_uRnuP#%#oe$PCIgqN&MJfR$i6w0JJ#pV;sta9=?
zi1jSVDYnxqqzkA|CI9b;dDB_3*UKOwEI$01yt6N#gxjmzQ@be_qBhZLbQ=@>W><Wd
zs@v?(cRQH(K7+?c8pemx^ohMiw4gOgvK?7+IJunXOhbeqbqQ`Y-}t|1%C^a|gPy-o
z-8`NSU)`LUy&XPU*AWxc!)Xv_C-nrdWip6w6cFD~7UJY-SmUVe%VB;p8a+o4>jOT6
zI9-NPbq2AGl{U(Rih+IG?M$7@P;>^dQM;vmdsEGka55xkt=eZFJ*CEBL+O(-p6KbK
zRLU1bBVeXDZiQO;<A=|Kr@&gi<A?alaveBkfRzBAGKUN0c$gCQ_#SdPb~e_wxU1ub
zFQ<Woi<;&}spE%#2n~mEq*PH2VlGuQhhZR9)KhMMhi5cKsrv>b(5;`Xsi8xM_ZHw~
zB!S*TMfpRAml;VJ*#WA^gJiIf4DjILKLEKV--dZ2Jgq8!`v20<z2bqd%x>JcoGl)i
z&woSeacg|vX)H`L&Wk*8`yC=KT-0Rw<n2&6_Tb?Up==l%VtEZrj^%T>1X$iv?z9U0
zl8Hr?+8{bE9mS&a_XW6@6rKNTWRi#vzlns4>pJjh&|PNCe1vjN#iv8@qiFKep)-xS
zIXt_I?bJltDjx3bVy<d!3X@guXf?adAr!M)o4fH!{cf`d_8pu7hDTX7QHv}K`Uoz*
z#q3|OGbZVjBQ@q!H@bmNfs|?Sp+x5(mz6IgR|M;so=95bjvcn8E6n9#MpZ(56tops
z<M36y5Ep)l?o6k-Fx7?_Kat1_7p*MDXG6nbbV!T^G?uDLUI*XBkrM=8GPS4WswxAN
z__O8%rLf3eJt;F|Rr-C#QUTkj1Z>JWBJQX%!Wd*%k{%(G6V@^L%bwL2R_Xh<mkQk%
zS3;L%+gDc^U<|l+mXYLN`=Jf>+p19Vr%MI(J1RlVGx8^@j4%f40u$=XRr>wHQX%`5
zO2{TZH+1h!j_&<wl>rK1Z3WMD@~i5dfOg3lgV?>bz6OjzPq~NoXbVS6b-HKM2?nl<
zZLxtn470{vO;*yt-Ggt~IQdAMKf_j7*pO0Y=84c&z|6!~mKgB15T<h~TPUB}d7;x-
zm}bMsJdcPA7p-h$UJMO~u^}T<1Cvt^Ia~tj!Bei%6&ab-R;mud<Wf>BOiw64zN9ey
zdT-dcGn)6pJfY;JPr!J6EBGp2UPLmB6c}F~%}bo-!eU@Z%!`S<aM8*Vb3Zg3Mu#Lu
zKx41k+zlJAt1>`|KdXugp?z1Cp5L)l(7vY{wA>9Fe^+IInzeHpFUQ#djpr#BacM@T
z-y#ZwHgkI^)@HXAOkGZ!u}!MG1MZ6OsL8tnFp?8_cfb@CEe=0LerJ5mMq4R`RRe+`
zzcaoPD-{HujKJQ-;$GEB8O#%38z%={mm+?X<ch;XS<?3h_xa)Lp*aZ9!jXN5&??Je
z5KU$LG>F!K;f^SSA$^~E1Jo$8MI~z>)&ph@>x1QTg|VJ#gve`oW|`qB7I`98if54n
z^cmq1io1(oq8ojHW!1=>v8jAYG?i7?IJ579rS8czX=nwE)SL}3zT&I^sN_qy8F#9M
z<+SqfM7L2RWAz_#_@#tEm`c<plEaZzN^v;bdm=ARQQ`Yi7pJIH63w}ui&NeX3OHph
zPQmx`;uIK|yf_8_VlPhN$0Y7`X*C4nwC<++6YMJWWC|kh>B@=eMz81l9xuKYbiGE?
zMSr<;wf0k(wW@v={``yK>Xx0|*{Sw4T+do3nlPIq?$#Cf3jFDDB}dJE?2A`m6i2p}
z>yg~7auPtL(O1!%>Op$D*+?Bb-cq{+14MV%cFcB~>MoVu7<{6BOe|&QX)xb+a$$c9
zXT?q(sm;#en%3J=!#>1UaO5GfO;W{WpZs1WU{Xt+`f01Vzks<j2Nsqvm1K%{oxDfa
zO8;Qby6eQmUS4AIEIl(PMsk6IEV{gn>ECK}{1=<NxOHFC%z9PG-eVz~{0%lk7n@`s
zlHboBpSX3!erVJ3r2<+WYQ54+%l#o*UZc@$JyxtOIr|N|=Yw)R%OctF!4+6U&7=5X
z1M?#mn81;(??WZ<UKwW(!e9RTZ@vS6rl{<|bM^q=n1X6th_ddIOuI-Roc$^q0a(bf
z9S%OqZZj<WrV+rL6A_)5Dafry(=~Iuw}@3_2dvVxb>AO4CNJPJ*POvO)-VmM!-p+4
zIklXD__5}R0P;K_q5^k7JcsYwNW=<(7<1Ty!_i*2S=M!m8pJ6jgty6jTd;X1a7T&6
zrO=X<lfHxV<&`Y@UfGiQOde4GIg%TpQmkZ7^BwrPMRwqkOnhUpY^H^>Xk4C`JPA(E
zby{-R*qE&lD>(-xsE=ZCd=`P{^v2>GfT6^Boma7AWzXyIQvo!TJFoM0o{|dZbp(MG
zW$lR2RRO2w#4LXufZToOU)Un{x9pGu8suZdC2@=2m-r6+A|^ZV@D{!qjEMcnX~|*w
zB@?ml6L?N<ei7qgC?R6&j<!*=duK(gkOoV{mI>AbD+B(rIc+0PLj~ayq*WBI$A>pi
zIq6z0%c_-2|F%c?BzA-WSvn0W#V%Ku@E!PNNp|3oC43W*rJ-zBDF&Tiwag+m4mUdO
z+T3RDcOn-rv#a7Y?0Q1f>C`V^JT@f+><)Iwtbi5LU<sJ<-8Qh~Jx1t@cuFdWnIN!?
zm=%}BGpCvBAlu+(HIsLM={eZLZL5;EtprciKcY<w+mA``#fhCY9rpS&xvhd(=MQ^r
zK-mDti`dF+xp{UxX-@QSmRe&&x>~-^^k4P}hW!?2g0js;dVsIV<Rd_|+VCdt#oA)C
zze;qRbwfV&zi^tj<)EH?8d?(vI$$@p+2hkg|LKRJ5Y7;^#RU`6Ro&*)<m|*k@>Ohg
zE&ZBlv^xvQN1<xE8Xoj_&ovj6^U#-3e@CO+S$I+M2(*yA32M=y8=9o#TiB`^rr0rV
z+{4{W#7a2D1%78dc9(n+%E6hiWdQY?@lS9o!cvf(TRZlmakvf-P7>CH0}sERBfgx2
z`RnM{(8t$eifS#Ld;@zMPQETXRlZD{S4>5X;NwBTJ=@0@M)J7JJ8<JO9MNp_o0P?G
zdd~#98p^1$8J0g5SUy@7%jAbxL!1cAX8$ob5xA@-SS@PSRn+ZQNUYYEz}*A+D&Z-}
z!*GZL|0`Hr=(I8)A}sXp9T`1dGeTvnB2<cJLYM=D=5S~Zq||o=5MNmam18wo87k>P
zxnV2&((^|18!7qUa5`cISDk+vCBnl+P5oW!$lvMEFbf@d`ZR92B##_yfg}%4Iqz2m
zHCDlo4!SL6W=H7!-{T6vLk5u_9Xyzd^5_4q$h*bL9s^Y0P!o2CeLB|XT9a0T@0A9O
zm@5JLO)d^|3_IycUZw~Rue{(Zv!~1y60tN}UNRS&_e|ikoyNjs<6Oxzfp-&e;i9HY
zB-@~{&w?Qn$M&}+&w;WmJR}nuo19GKpb5x?r(EP$1vUTZ*^m7mp{@zq(Cxoik|qiu
zFDXfTaJKY&V5BB{huMtf6eURSB;dS)gs;q=79~iZavBShZ3xoe5OLw6l?CbVp<xyt
z5+sdHPLOiY1O&-bu2Rx-CQX&9gGjlQ6pPf`3cxQZQs+r`SFNrREku4nuXYt}b;&wY
zkK`9U)q(V`Fr%H*tlD8F7a{#yqeUyvieqdx4zm->5lUe8f#w318or7bm<@g$l(`mq
zZ4d4Ur_1o*46)ikLkJhGELOwNFbg7yl}0cpRyhCzV&y4!M3{9nVkuJyM8s{iSVVqV
zRz%n)RU+;I5v|HxG~7TH_ym#z#17*ZRCHj8xMQUlPbT6%11lBm_Y6<P8YLl0Cb9?F
zoMz8p3g^mDMTvhiP=oVEq1Z^Uk@`|#^Rq1z|I{vBZJaA7v2C4fPfeBh@|fkU&|exm
z3pdZg9n|cOsy}+_ud(s@_VgsYF>8-v&vrVSc0K7~F&S<5<Ql8b!nFt8G1)zQ|EoMv
zMlzdF4UOqtn6rJ8N@%NXKHtpU&61!Xu@r|R{GsB9W;a?<{+Q)5{>xIY(RI^T?YXIK
zaz>rcUX3sPtcZQ5@u8uM7vHCBGfSITZ?&mr+IebE`3Lm0`Eu?8QMmV#!ibA#f0FOO
zABB@0c%pFl#xg~+(O1h=MQLyxPq1mI)Rv9xHyujj%n~L^tP)LT0FVL(Mp~JU?R*hd
zn6J^CIz;;8fMRySi-4ID^)71G;QOOyRVuDmd*ygq8@~m{@Ub>uL=9vgs1zGbKA7*o
z&&RR@4<F;303Yvf10xa1^XM8?&WUN&ou(Zq%BN~%9Yu4~6LQFgFONNkr`M0H>>!Vd
z@6g8Od=KRj5uGdojqpXO&){k0&~PNuFT6ZUmI&haSwh($ejyFzg80wpDX9>|7X&(Z
z8f=o+aK&XYh@Tlr$)Dl!fOd#|akStp(sgmX{W^B=W>nJL{W8l;N#1@K`sel;5-N2^
zuMdF?yX2LC%0SZ?L}(l{8PbDt*0{QaS55{6L|=vTLZRh?#D*tqYm1A^z}TLef-BHE
z6U`c&nC#y%tK2(19VLw`tPP0dlQ^rx$=^gzE^Oy0<h&Qy-URc<<j8>k*TFtsWo(E@
z#-ML?{dyS~RSfqlSZSkT4d8K44A<DxUufChwYte{<N}m?zS?*b(-9hzlTEnxZWhAp
z?OqMC<Gr3h$8?t_kn>b?4ejB67Clzeq4g1{m8FuPZ$QRxe+(}IUO{|inJ|vRvg1+q
zVH-IT`=LFMHOJY_hs_wn1Go|@aoWh#fu*9hL(nh_7<m9SS~(A34y=F&&{IxnlQ8FK
z;L_r<pjF&HGW{Eh=l+nmfS&>BOhU1VbS8a?iVn<kx3v_*NYCAcSSeo04@X^3S{`n%
zG&Q~2Y=;YElN2rklXGpEQIMzasZfLCdBf9(qaE<%SO?anSX<BZxJf;A%M4Gc;#sT|
zKS`x+s24;NW$KS)BUFowaLcpg#Tw*!&}PA8(xl&8Tu!-n5xr8A&guhou3IhO$`8s{
z5(lRfWnAgW^qlJ^RGD+#_+Ff!ejonzu_5>m{pFsY7OvWj!mm}?`@Bu9+jJsX`Hhv^
zxXU|`Q60l+<^FCsN_|cRU$5$B5kBZcO+zGW58Ph$R(9rjts=Ch6q)hFmf+6;>gKW^
zUKP|X2~R$MTGvWnvj@9}<^0MM(3$IewSFPI=lZve%_Dl0K5r`TK+h0LzKP9{k2;&7
zlW-ol&d$uyQU1GY)9qe=m-oXX+P5$wj=M)zvPbe0b|mJu(m%`D7&66>{4F%PRJ%Jr
zpX0U&GS~MKo}-=7rzG;Q;ovjtPrF)wDW%ry&vs!yA-S|yQ+WpB!w~YZ%r*e`c9p7{
zKa%~P0PH!O4B<b<-40<zfU|)4(0hmE(=4o(gY)iB2WGM!T?RsB4IPP<Hc9~td~U?p
zm{w36WvXblNXyg$_Bpl8*vaPE3^fXDBW3d-Mv*qp5fQD*khWrqQZ|p0XFX+kn@626
zk;a1W)|eZCN@4Zv!oSGsp}&^K>bVr|;h*jH7aeuqQpM;IeJ{f1x!AIK<WR&vV|@4t
zJT-yfIUL?WM3i}?erooo-Ay0nCae<q^?y#+O&{KaEhGhl6GA^e3SNO;c0WRiT6N>%
zj{WV<)SS4F?YX&6<Lk4{0+H?)K&99S;mi3B{E-{kfhR(UZ%ke?$FCxPBJqR9U-v|@
zv%sAV#ao@G!z;JB-(_M3Sx3<^u{Y<C4Mzz7ny1%~tn9#XN`mnt+ygcupW%BjLO+p+
zl#HU}(a=`>GWV+Xf97fB(8z3Y^7Q#5ggi@vL9}UE=CDtfou|YP{<1;+1xqL!AuOb!
zT!e7_@wP1444+hp5DEevJPkHcyCS?6=6QevXSb-b7$MA7f#kUe-vA<nBkbVKt=!V^
zb{+bU7`}=S`Vh!)PHqKMmTC`qh{tZwF+wpNv^kiOj9s`zyG(A;<OU2sjs!MDZ5+1p
zlMwW&HQ<{{^4+BP7}6BHfLrS@E~GzOmhIaH)}9vB<Z9%O;bdntlc>$yUSXurbX_UO
z1`GMx^nl6cRJ+s0>j1~lhqCa%f*pK>GKV^4#@hYnj8X80*MJ7Rt_N2tPBc2T-duA6
zKW2(EHap*+o9~ao_Isw$hg0u$_!w5dzk39(+?|<&qsefIVYAzAOt<f9j8DUrhVad+
z{-)8Pom6TI{G5eqwMMsD>(0)1WQcHTcD`GigidA}z%J8`iDqwvuIfelsq|0{{?}^(
zZ#6s3$<ZNn`9N=5YS*-9+S83L1{xJ5<MVysL;Ma`4;t+^z@Ib;{)0vz8f#DVYQ6c1
zR;|&aCcE=+2zUm&n{JFZiC4!P<LzmH4<AAR96kazJv#xF;dVugi_mq#c*LtWLM=4=
z6Qe`d7-Qa2yNWQXLD)0tfee^{(5O1IeL-w{s@<F%+6EA9sqJX?`Y1EHE+7V<iG@cE
zK!9+hu^V5D9g=p@+H?h6U2M)@x_y9?r<T8gwwcLiN66=N8Tm{SEWI&#CjN8O_92k(
zDfpB4e<<T^gQHd4{bnd;i$gtW8qd=0i)Ph~O~w2qx0>x=xY+j9bS%E1Yz|%s6at3N
z$A4lSUd|k>fcnpc`mkjDrZHZDyWy=Fa^L}b)qIrE^m0Md@0Fnmop6dNRsul_M38L^
znf3ri4(}5E2->rC*b^yECb6jQ07v|6>cHlp=MO?TElx3^Qt~n1)&Y>F_-`O>Wz+p0
zF%9p+e=4%zYM79>iwR*_@Ztf13#>bcrZNmZAu#w@84OI8M*u!d07S98z^V+(V+Vre
z`C4OQAa@fjhVbA1>scrj%l^8$&t~|$0+?^(Ke1eH&hT280D&q$0aB@nMUgLRD>Yn7
z8#HY^3&|N)mZ#Q=nD1FB-)-&n4X_)*X4IcxFrH`t$qBjN2_?`|L4~zgX`|e876%os
zwLNgP&70*F+hCyz<F_`^YIJS^8&mFOM1>(dsZ_VD<nzwmcGcBaUUcpG@+NNkZU)z<
zCo@dk$2J1TL?d7(WNe3d_2$5Bgytv*Ze{I}dmnIb-o>{jvx3??K{%O<u*lpc(KUem
za{a-crr+*QH^<=qD3OM07<TDVH*=7Sd$@q)Be_x;p~PTYoDuV)a2A%%lg&yUg?k=P
zu=9<}q%-8+$Z*dpDmt(T-c2~VSXHHj?MAE=FKh?l+{jO|2r*I`+w(?CLh5-5^Ux_n
zFwMiQgjm!(;J^kv4^}Q&aei4^W_W5oUWAq6=c9Cf*~8I9nI5<@`Kg}#vYa}j4AocC
z46&0*ll}+A<y5Q{(JM9Stmv!!vTW%T;Tpb@%r8@pIX#*ASZnfDAeZ}Y2)-AQ)_=gi
zDAG!QEls5L8gThcj^P*4$4CWls#Quf6Ze7X)6N%HiM!gAEF%88!}6or&C=-5AJ&;_
z-vS4qLAA*be3<8#%?7R&TQwtFZ9f{V7_3fMvma_TNGsNlU?$_VwDQGc&f52Nt@Mq1
za75O|H<!A$zx!Tfu(^+Iz<#NR?hBUkf$R*n<iD{QCsIs)ZjJ%ubZ1dw<IcM5w6F0H
zLwazI-my{+Igy=nf9&f3s1y;aXkl1q9hEhXwmv@0)N)K2`Kv@(wUDcy_AH!SWe6t<
zvW)LPguk_MHs66ilqfs!gskz6DP~5<dYvKY5{$UW>{U*i;ib!5JDFH@$;j+>0jFoQ
z_{JKo0eSe78&gg#XFPt$c_LtM;=$5$+wq-z-$wW{gk{VpH`rt5VkFLD?w3WL&q~Ch
zA7qEk#-R&oC>Mu*Jx@u6IJ6+p!PA&XwVq`PtGF!2p?yl+KB>Aszeao5&?#l>w~w)K
zn4ahmKic;QrcQ6s$tZsfghZ%)6{7Zmlfjz&3#@ue6`~$CQ6F`dc9reCS6M3*qWzAv
zHwq)_r|fKWd(B#--|w~|lG&`G<tze;#x9v6=)LCjls<r4x}N6L<Wc0(;p7L=%&H>f
zd*3vCSB|l&mvRVZ$N5sM`AB0*M)^K<d;N4)LPLpR97>+o`z2DiQ5u#3KV@>#s(cjl
zl-x7J@lM+%*m%KaWEb2a4hM8cY8Q2O-$Vy@4Zgag-G|t?;ynmF!wK-)8`JYmdD7dt
z$gj{w9gc>;bX5KeVBmFB9tO>kqjKL`-LZ!8m1V3r7K43Q*YI%o^W{!;n&ap0D!?8j
zXfu%)E@~?IGR}|WG-#Lwh+H269c!S;>ka_Q#D-|uE(fy9tBg@j0gLV`!D8C>mp^Uk
zczTuIuP=dcaw!y!JieIhg0htmrZ4YGg!3Qay{*b1V<27*(yQ>Lzin`zTczJ;LnY2g
zFxj^hxW82u+~ns5`?_hOe^6zN5?k2qY;vRl-&hJHaDd%Y?u1AUs^=(;tpQ5K?Ju*#
zJShs~+B~#i9&xpimy;hvMfuCgcZ!`n+{>T2vS{6q&+#Z0BwKa6?Md|=iW+@Ty;r-V
z)$Bm}RD)iSA%jSX?XevOQ~m)dN$RIYj26_7J5v<aw5%wrs~<j0gNN8qel@{Y7BjH=
zZUrKvq*45^3ID3oT$pg28@ZZ%naB$ltt^gThlW{zXf+Y&SgT3896Xt7ob<On%zvvg
zOgRfYz_izwyy5%I(aKHse1%an0NxiW4MyMPyavf?Xgd~T;J}<V$}wO-8+po|Raq|e
zY^K%Q0FC9+RIIT+SitHzjm0*puH)T5qE#7RMXNh9#Pk2C=)mHu+e>k-+$201D-~=K
z4D0{6o$3qeu6;i@J2wyMr;t*s#5$^M#wbz6fhV3(W|*{!JsoOr(uq7FXAj{R@a&b0
z%HCCGcxtP62Ud!oMf)xxQihJw1Vv&O((^>i=l#({R$W@0?u!-ReKd2dwkBqHVR1Rd
z42WteX5e*+JQ=GT2c=HNDyNU0WKXn~HYv<)AoyNHYyTPsCZe_U*V065ubiKQP*YP~
z;JoPbv6bSqHVuo2(>`Q56YXXxPAe{`hQy)<T#elu9fxx(V;E|qTe2^KKfvIbn;gZz
zwxQ!k{KPCqJRTsv+B4Q`-__iLhgxKSccd2jQZJe@bOKk~Gxb(>2gm+4fl4F0k8Pp;
z3UGyKsoJu{2Qt5?>+aF<Ul$f9-g*a4*sozCX@2TPc=W=>5+Ym7f~bZ5wSUz!=nG>9
z&iwueDuEZxh~|X@sQaA6u~*9<&66E?LW=mt<W?hqN+;>7NutCpzZxEmGs3j#xBxcr
zgEbts<^sutVhj6^4&WRNq><-ynVX)8Z!AcSc@0NtH#@a#wGo(Co(ON0c0W^lI&fdW
z(@-96yR!jdYfDNP(d+rq_$8$RqH6(Bu>d)6ws-={!)f$X5=+OV@`t~LmT-z1RGN|9
z?+cZcrOX@_SbK9Sbe&O<UV@QqJ+qh7`*;xjBY6Q-ve_i8P+!h>;Aa!rfk&a@8%z4L
z#UuMbUS2WMJA34Bby{*Xf-y0X%8&YpW}G(@hEAs}+yOL7<V}2v9Wt9Y!OsZLP%dxc
z>pUeD@+Jg<6{YJ)&VbE{*nw_oC1?2;Hp~5-9d*EZ`57@vob|HuWLr8M_VNpx?7+ib
z_+~J|Hp~;Y)WUWcbf5FB_=Sx}qlB=X#SWPjwn7@p3ELGsB^88C5Liaoipye>Qno=$
zzK52x=dujFll0^!`8?%qcJMJNNjYbCD*B05^-Ul587wasewB>m10jPi`78kQ*d!x4
z`%rK|;?;|CW+=<&^KyFwV!>Z+c>HzbW-%|ppeqe=zk(NL+}?((5wuS>vb0vN$^AIV
z!^umc=NiX?7Z~oz89fgCaPEH@jPb>Cj9`CVs1Ek0FY{i1AS}Tex@*LJ5wlZpHw4WA
z;f~Jn(V>ebC+YGGxVi+cwZJ<s=HUhh_aclTSo7L5^D}TC#LPIn#+xB#JDcft2+<E6
z43u}D=$YK}2+Nq}4+YaaRF-LyS6~hC<@#(ks+|Hglc{95&wQkbC4ctY%22AD?thAv
zw9vvT==thF`TVLTF;M-w4xD1!Rp4|Of#`T=veC=DiX%hviP+c4tSnRoaJF<@Uz0N_
zEH687Ug#qFWHd^qyZ(hx%bSArad-i;<_ntRE6Y4`_8oRCc_o3ROhx(2p5Sjd4LatV
zv1DK{NQTY7Mg)e7n!A@$Nm!3S!z@G;HW&C<LuHe&{;SFu<s`897W$r~d=-|n=Va}O
zJ;`C9jX7Bbm2&o`F@5HoB>xVG#HMYngN7^337@ugOqD^#Ov-_-=qvuuzp!CHtqMh_
zEEVieTm<am)*@6OBSVe{>xwFajDdZ<rC$~1&QlxkT~%ngVW|MWsVd-X23@bp7$x4Y
zJ$5tb@QtPa134?6a);3R>8y5oLQ?N*F#g<@vTZ>qH|`@qBd3W_Y02EU4^dG*H|_$%
zyI8A32#^xvGMg}O3W|JwG%In)z7^f_PD&+hJ=3_574+)pNn{nJN{V}kSlGM1<11@^
z+4U!LKW<1p?#6dHjYX{^?;zsBMJul(?}3I{cxY|c*yLD02Tg$WJ>^a+!7X~`(=xR{
zP~3it1?A-hP?r>x%UmB}CM~6QQa*vnyBVd_<X>n2Npv2K=0TP>l<0hqAoGe2z8aY5
z?7P`+EG!R(3HCn)^I2JRRsc0DJR~|Ao1Ez6pb3bMr`+aptfMDCEm;u+$nCvYfWBP-
zcus)WCRI-3Uq-B7GAj;ux{--cZxT!0fw?0@_2hBJvvjq%?p0sWq<?E@Nv@t;ia}*g
z<E2=sU}J8$c!bYU3cBOylnzOlwx^e&gfh*phZ;o&f&>^TE(I_@!!pxMxll@FnkmPl
z2GEmfM*Auz(+uB>Ota^~z(l4Q{k1fiW?OrW+nbBdFFOmZDCuSEs;@s4e6(s5dtO9V
z+4WXd84Uv+iF1v93od`9uYWhD@tECBIw1@Tjfwj_w!mGqU3hWgTzlfy>E?;ye6SUQ
zPH}om{IKQhA(p%O+^^r)b<;ihld1v&C*$j!MZhf#2qSCjD84aSJ`1a_QRV3ktoGRh
zdv@Nb5iXIN^;W19n@aE@z5{=BQ+D8qZsHruM#;v!-r{NriDUgE5~`T9um7Uca@b%o
ztq>-!D(fgZ==8Z9u;I@!e4nS+53KAUkIHh8cL$LF<U0s>#uz}Tk40b+{usl$QJX8A
zx#O^KmOFoZndiq6@#W)KLfQCoAr0l?%V+SERERGN0v$XJE-_Q3-YghBOO+aC7N4AU
z14n~isg#1Vp4mEX2Rqb22FDdpDOSflgYUr4ezF6Pj>9(r9Y-QW_GFX@cb%3TxiBUt
zQm2&@;SOQwbn2Hd9*q(bc0W60R>BHtuq14avW*l6W)E!kdzh!Ff}{yT%Sc*rS<K|f
z%&p{2sQd?z$?-vU@Q+C*$NPO;Xt2JM$>9SbgD-gifLW?cj)QVGyZ-Kpm=8)Ocu=m(
zh4~vBt^qZvzHCBYpO|d-Zq;G_&}+@T$+vOxhLdka&mp)AC_`f}FxCmmZ_1GYl<N!^
z0{91DKT|J0K52&i<u2cRq>&_t!+({5QDp-B2UglB#c^Oat&FJcL9KobU9>_Gft|27
z#2gWPi9vl_W#M13{MrHiY&#)`ojtGzedsCnTIMVUh8UXexqpIDdjtCiLUVz@KEAS6
zO=pF)qTT5#F>a;1)lZxFO-_?x;te0>2}EMJsJYUX3hkc^4YMGT4^tzQ^I_%y3ivQR
z<qiw6hQ=!m76Ap~wwS5YPy}p!0f>fQa)^rZ5wIPG!DzAkwHV@R_S*Q_UMPcCL&ytF
z>ofB`_(oK-cC2uL99x4MB#y;z<s9q1BHgk-rBGPUG*qMv#(`>+Tf_XqPPy{xKa)W4
zdiC*@*^`@sSwSxDaGDGgZ^%WTNDLP><svyB3dg2b?1r)|NF)~;p`2Xg01C*3r`-7w
z{PW1Y4+#!><la{z55aHbBKT#5rqd@ywB+T);l!n@Sh{u<Ohrz**d~?Ne|1Ew(kYFr
zTBK9@XH>L!Db`+oDSP_2Eq5OPB28%s^CN;Fz5egRN(GB>X|Mm^m!X8b{-2Bo7%46V
zFh9f6>#xkEQeJ;$u4({1UjOrfT<$h-d@sEI|A~KnYzY2Ce=UvI|8l$ysH)fBxdXhC
z?;rbLgztZ+wU3~|D1(n2`|u$-yzbm|_1|5?9R1Mc-@*i3%-!Dyof<25%1wlKf3MfI
z_GtgVm@e}FX9wk1h^I0zLO*O(RMUg=x!(D}NCr%DG&bYJ9yXVnZaKS|Gj6?AUB1p7
z?U}7#VEjLc9bv%nb{bTQb-Z1|ci?xt$qqb@H+*9*4#vUnl8(0<otDDOjA`}^%y)i0
zVd!+~cf1KS!s=g%BVJuRO3j*KDPE7{IA@(vo?e2*YCW?h<Q^VH|A2N2B8>y);d8F{
z@g4a2M|R-hAAA$wpCOE=3MDI1aki&`1o4=Sz{5_9&XgM4=Oy8zR|+gWL&Z1NPz}7p
z$It)VspSmEk2g;QsERz2PO1g%xc-*!I|9l@pD7a~ab%6<Vh{3y{h~kr{T+7LtUsJ*
zbnuy3{%|hWMfksXN-Frl1%VEp#zf|IS8-YNgZoxj``UH;1}j<y^IT{bvIYC_->~J!
zkpyE9k%Db^79C|h6zJeGi5%y+519<pWDQL5W8)krdkVH_c(`$Iuno!GJR~Kc&~tzI
zQ@}pYJooZaQp0y2E}+>gxd2&gI5{tx(-2NPU%4lH?`huUsmd*KWRHpW{^~L?D#yW9
zSZSj)(Ff+eA64eL<;rwjw1^bt@e6ySqW^v-df285?o6oV_20MQMZkZLuPlqgQK%LC
zl+SgV3@cf5_Q<1o&n6PXMNNHN%76b`&@c-U`6)F*IX`6%pn#v!Q|^c`b7*~$GKD~m
zxUFVdKjg!oDgY8Om#0`Js3`Ble+n|R^jXyEDv4{Ch~tRUsHP7UOK0x<5%BU)HRh+)
z?RP$zur?yfgKu=|q(}V)&}{N+m}A&US04QL5CmQiKE5)0G7a7b_t|IJKKMT**cOp2
z|4ePu6==>#KI60>9*H3)e@FC&i<)AR{2mmJb?1K;%Cd-&m<YJ60kbDqzguODa!wYn
zi2k!m@Ba>!IMb{$!vC)_!rV>w2cBkgX_z$(E|LhtHpd8t&~5?WSWF+#cAj!4mCys3
z`YTfl^r72tu|E8>g89tpL$*m3b-6jBRT*_bYa}u#@DwUKu&B%SQoNz=kH$&`#*-0s
zxk%q1J>EpckD9wVIZ}fKVt%4O4-sBnV75DST?ZU8&U59F8bC`KTMeKw;I?O!0g!@4
zPlp<u_CRiveDP!|%5&QR;^Q%~d{Oph>N3Mq#`PUoDV{&<4RVDo`~A^GR@KbR&D3Xt
zKw1_xt%CQ_%(0r5nBj%R<rFg@s-=_!&o?r1sJ3dQB8O_btS8wMIs84qg^L{GdwDZ8
z3{2ikjeoI`Lw-#1Gsl0nQLRwP-{7AZgRv{tlWjF1ZzY8U7n)|aWAYJ<Vd85+-KRBm
z^p{IrYd?itYgAnz1j{4_myW(?q24+M{x}Z)Z~Bc^H#?Bq)$A=mDqCw;y3MEZYIPB=
zY<K9SckvmeO$+Hck*Aq_{n<fH7?ttS_SVhz$m*@8dXRqB*O+lRwk8~D(|76O54ylc
z-Gbd4n`?H*#2rn>DJVD+pPhno&j71SvriqV&C;={o>7yBqB|yQ&`sUK`c@suBqAfG
zx=KuiT7}e4y_Aqy^j+W+6ST1GE9WQ1QNN{YrLWnuzM<@!SNZYeXX)8Lk%xI~e7-#m
zSEK99*68v!wm;V>`2(^qZrx|eutNAA3*qEHuo)*9e5ik%A~@`SY16jybZ*}HU~xA4
z25qm==)ND(6<3q*ePSdw@<vE<Q}k$L)hw=EcuUnVI|+e!_F+&dHlDqS@4z1)lO1?M
zMfk>47Dhb#I7_7PM_y|RP2}u;!9x*M*Jj@f97@7!%e0-Ccz6^IW)!6LXu4)@_ZG1f
z?*QwU45)KxavW;>5jg>~y}+C6t<nY<C_jXnHMp`a?^r2Ze{xKDaK5IPmkp`!l@0qi
z54(S$&lJQP0o`x_eU9(I&#<xs55wY{0K;adJ8`v^Fy(nOb9&iGJl|>AnR3%^TH9?-
zP0r3V+MNZ40ke*Zx$L<)M8n5AU(OTiM^tu@hr@HH&FlFN$|I4xLfbEDc@V@bf<js5
zel_uZJdGR(j)1Z(9^gQTCv5_!s$L+Mou?!Y{<7KXvn-)(be)%i($V#A@sw1Et_uPk
zJPr0>72Xj+Gdic?@)zJpe|7$a4gN3LAqSS@|AI=f%kjD=+Um$r8h$pE9e8*P-vqQ<
zb`MpQ3?IW2W=vA#avCYa8=>EvQ^_x4JPaj7?0j~ttcVrTU?s3DJ5`JMsg9WM<Y}lN
zT!OTU!u6CvZbWnPxLUTZ(9pka>1(r?1f;J?3>0@S{vCV=e(94Pc%%>C1f=g=u{DSL
zP%Nuh?S^{#$`;>#UgDRR+ss0+fqRKVh@(}?3vbp@u_^MR+ysP8kyrDC`X@kkkcZ>6
z^4L03_!gd?^1xLgsS3nlL+3;MkT{4P-Qm~5yf~E5!e3?yWwmf24VD%zOe6dOPe}z`
zEC_V)G`J~m=oFX5G(w->C99eI6ZnY+nk?5^mAq{wIFwhTi6c_uq{BxXc9!lfn05Z%
z|E+j@1iYMLv%KYIUU0Sd%{+8+v($<k($%uDOqR1pfYE_xI9gdNj`Z9`_n&+O;813K
zGK^gbkK5@LhLjC}9I+c6!fh>HPd*J@i}WCHJ8bqu05AaeVJHM3906_R%qoKc(^a%3
zomfb|ime(O)Z|2{ny!Y|{oQlT1r=)W<yzd)=yn!flsp10B>O=v5luo~Nxp@xR>DO1
zQ8w-+US$#k<Ty7_WBPG$NRS1YoDJn<qTzb{6CxF`Z^%C1P}>HFIfaRU;pTZGpiHq8
z?Ts!jsO^K~V(e)+xlneff<88Ld8pl+Ccum4$(I9ujZVJ}-*u($S@<00H4-BYY^gdK
z#!nR(UsV?4WCzv|pODDL@EBYiF;Rw66&=4BD{WNzA2@y>pO82O6=$t}3I11vt7gZO
z=7hLWnw~n>W23^Y+qtKOZuVzIkJro-vvnG3*E2=V!d=i@Am<ccS$hJ#`iS7Fm0y+~
zlpD6%B6;3uexudm0jDEYpj9U7%ZTuBQF9?Em5KTwG|WOrzHyCPE;lO&TOc>fQ|=HS
zlW43`?`u$qZcCXN<%Ye5`W{a1C;$%`L}s7%sVJX)dPUw1pIr{ULw{b!xJn&9$OE5S
zuHDk?G`o#HED=L;KPgNjTPA$2d}*urUTMIHxjqH-n_L{`7<ST?ynKS-@MfaoE3+pv
z6BWs|<t1}!c`sN0rqfuMY@92Zo&9wpE?m@<iR2AX*k=lnt<?G+mF+jWw>0|;$v;C`
z79NrbjZID_a?k{1!c%UvB>(8yPs`Q>NpkxymZXmsKweUku5>-anH*i2`&^Zhr*8AM
zdAg)!3XHCPtEptE>l3ED-&l%L{)L8;1nGz;+3X!=GnP}7AUzJ63oJbNYG8si>NFN6
z+YqFaiMVjl%7Sz%G|a+7f~2v@2~rN4fFOCwonD23Gz+Aas)I<mloX59!3E%#6shy1
z$F^4A*`?3Lb%jH-SGy{+&eS6*L2~P&vSu6`P5XSM<mlfTEfSciXwG9fLJ7<`!Qx$c
z@KwCPZ1Cft%(c*KdvL$$bQzWvL#*zkA%u%o7OQ)pVHQLZD~(`Ita1Pb#L83dh%oDD
z#8RdZh=|*2v51Tn0GSgJwn>#Oe_O;_CbOb(16ANBNMu&@O;mJX+43JM#dtDX{x7jo
z!G6#1Uifp)q_q2AW^?U-57YeFGL%zh@~0!FSxyL!u+)U`93eB4)lOcyS}Nz)Zl7#V
zO_jJb$m`$`SMorT?S+%D#g-ce?vnw&Rz{H$JJUAF4U<W>od`Bsp9R~iJ0|JcQu7rw
z(qt#w6McE<g?Y0OJ{ERc%eXE_5H0+(E9i%2I9hAgoN2EBwvOd9AXn(R>Ff9W{8u@D
z&YeCNE*5(Ud3MduaS<)bN?DTRdaIIJQJtsu%pI-K_vO_FBE`c{DK<}IGv9$fiY7bo
zM2hi^Wou-k4`@E*TE}$+R*b)}jm=i4FPp1PPp@e?FnMYIPR*z#dH;=MNF6WwB53dn
z2zG}Ge{4|z7*?`o*z7QB)<}pPmL@CY9p{upj_0)XSzwLwSo%jXE+~u2cI@*V`1wqB
z;NdfT6X3IT1}YMcJb!_f1Vw7|(~F%potZR)N=6uo;V02aH2*wb!08z+zOhDYKpws^
z=wYXpGaf(WJQ1K(JXq2v>TN9F$@d+BWz>y9=(rAvqZo-JV=N<kkQW>nozwUkcGzsF
zpXYUmL6i&iKf+T|A=EDjbnrALGOx3W%VMZMGcb}3NHnh9_KiV8j!1!dxX&ZW%g(ap
z#o>H|=*X3!q$K|m#=!-pB~;1V)&iY=1TyTB{{iEDpvexjYEiyJdW6pm6-E^767hy0
zIVlwXT_%~TFb(3;ZSBq^EKgHY&2F<Z(S*yO`*$>(o!V&>?3IUyl^>;7gYTu+x=lD~
z+@Szww>dZ4?dxFWfLhZUDmfAPV>mfJnoST3yxwOovVdvAj+G;X30wM0`nQyUQ^i`(
z#7dgUKxzgOYrW30v}<)Am(#udayth1_IK#Y6WF7fY<ou=uJ!M?+Pxaw@GAJx@%A~^
zyR@>Lr<(I<H+Ee#PNvhU2DP%h6LjIo80}NxMZi^#uPnR4QJ;3q$#4F~`88-@iPK$J
z?IQUyDs>ByA1-QY=u(l|X=s=Qki32xy`0xC2VTJI=P9?j99wDjNJ~}(9p?6)ts9}}
z?v4V$ac*REcRLm3qr2zG-AJvD3o!|mdII?j?U}g-I5JSIy3HP3A_S5&ML)IA!V##*
z4a;kRG?TT%48-z)5~5epNWJcJd}a3JTEMmt8MexXRQ%A>OG5JJPIF<x4Iz0Kkrys%
z3Q6*8C>$HQeIJx%0U{yM=;VYX2TnjpJmogUvx!D9El~-C!|k<LI36khIwu@#lgf4e
z<cL<Krxw@4NKfq(sp!C5=f8sHOg;~D8-gHR=fA*81<SYLI)A)j5=uQFRi*yqFjpkw
z1FjTI`~hc|7z;Vm_k$Xo$&O=|Q-ot4@D!E2^JR0H;i;)Q2`j}<m7&NSs{yp6PqAGb
zO;lBFCA%%wSLYW`CQbS|#pTqbBYLGKomUJpf}-qm6+z)E$;(sJE=*6R=kk<i1CMfd
zyWo3qd&)cvOx*24f4R4(i0H>g;eD<g;Mt)JBD!}({wN!p!R;d4LDJt1F`li9iSfw(
z7ZK(;(zl^dN1de8@m7^R4-P;{cuo2IjVD^Ck#+D=n2k6ktlTYlN6CwIt@KTML5xP@
z@7(mUTE7sXEdATY=#_f3zL*Ff&B~BU9>Qjbf^4SF4Y1Y3?DYIhM+NW3CT3^m;6rcl
z8FD<Ku~q(3lY72%A&49ml#Xl09_^di(V9^XKSyNa%#=&=+tBDzxs-U>fOVAao!-0n
zl$<FqkTX%}{W|UH%$3#a&*BHtBoFjzDuw8l_U+&fQ>>v~T~(@Ten~!#6b>gJjb<5~
z4fJd6g|qS3*=*!pTLUwS|FH~|%F_BGR@x{9FK~6WVHDHtdae?&AL=O<*W6`=hm#+a
zp^&Ve??R18Qx``PY4v<QqE%`2sHrPu^(g7nz~-$Ub!JSiw!T~A9=Ao=Jsa>Z`WhDf
zwKR6mmBN!fu+)}|1M8F2Bl<j{*E|ulEW+x!f@!ucT34sM&3oR!Eu?R5t8G4?qSn$z
z%5qrXm>&B4)f%dPYQ`t)=oFZ<uyw?*{3q+W=^OU~8%e?8WU?F|1+zdg%T_5-t8QF$
zwZGk&nj81AJxAL#&OYlbkg;+xREo`5xt8z1AJ&!~cp|*`#^fn;{8!PXg?P6C^04ID
z{BAhAM8Jk3aheW$RLmVQlTeU#6rEHsl|wdsX~8`_y?$h62YFO{K7#xB9+o^Xn@1yj
zzrY{zv~p-<mNq%z{YeKrOM;OZdy&$+Swh*QgF+h0B^`W%r=&vCfgsSq(_j;|=fRuf
z&WGMPyGE78q=RfVNX|o|2at5|9d_{MMlDj>g#blM`aj1FUnL#*5Xf*&PJq^yYKJ(?
z*bxhIgD9tkHePj!Y~jZ1$#Ua0ZyqQYi&$+OcIuN5#;rA`r`5g-QWWqs?i9R$oAGAV
z<Loxn!8NE?hGhLYz;DCJI{e4D!Z*A)s7=~lWwy}7t&wAdiM#pu>^cds<?z5`(|B~l
zYv9(n>w3*@ZKBbs_2!xr?Wx@qC!C${&&~J8VBb8`=)=t#^*Kls>F*w?p%VsTi*P@2
zv)gV=x9@6<Pd7(uQ`3$9rqQ9DRB8+SoP}z&Mi&B*v-2Ie*1iT4JvBSuh0mHyv}YQ?
z4AYH?W^aU&P^Q~GQF^Eb|Le8DB!xq$lcPhp<$~U})UIjIw5J<zk`CELP%=K>hv??a
z?Cs4SG}>=~YY0Ax-iMQ`y?%S5SL@ABv}%nWHQAkqgZeYr-E?ETNt`&|7;jIv`*7X#
z2(aN~^G>*be*!Acb|_fdnFof&W0$=VYN6Sm7#+IC7&F+~gi#IB6!7!d79cdL&TL;0
z+n#DSCx^BHL|bY*n!P?sgsuytfdm|Q)BwB)M;bfX>p)DSyL(8OK*_Df%%$50IBm+r
z9B7-F=p83S@0c>8mn1M)*mNF&m5$mz1fshU{sfl(O#=nN(sd7;*DXFzw=bG8Gp6*-
z#)XS*UroW{8_IA$N8o<;B5+>;xStWi-EgK1Iq*QR%6yd3^b|qU6=i5bUzuWrl|ayC
zL=daFle>_86z$mp>&ebYCM{0G5uYYTY--B%`GZhJi&I0Wf_%)kbpWI({u@YJ*>opj
zx?5$Y+Y$ZMFd>s-Lh_<-u;9f50vA|!5KUzm{HDNQcNq*!mPY_?Cjg>YUSL&*<*@_7
z@_el^AycOiEe7(p|9X~1#j?My?z0(wg_z-&SDoRtFaZKpegdRY6AK|<)K+S^d_F#c
zh2#t?15&G9%ni@G`|HL2{<YUPz)A!QQ74)hPc(q!W&Eo$=qaE7`?1nSwQE81;CQ$~
zM}>fed0=qrwYF=mwt2JsLI&8Q!qlxzv>KgTz@h|0Q>4$Ke{={vQFY5EKJVOZS6zMO
zMc1A$KZ{}Cj^aA&WICt&*hb*<(FmBi7^|R`H$(L^@PaZ_SJoc6_ko&o>;~VO8zE48
zCy3OrA}q3oqH6&Ax&0+)pO8&ddeqGv!s2c|pzuhpR7Mx^(+`{h^2+lppvFTbD`XVb
z`8z_HZ(L?DA+tt?b>2%wi{)$e)wFxi(xrdfoVEYC_GI(q$|SROSSen%4#K$+8y47>
znNbDL8%<v7c?t7ybQywa9*%?>oEr+Z^D3zb2R7h&D49uiUYX%3UAF}*#m`6SOtPz^
zi84KDWs<`^nPfTbMVYTVXogrWrAgmjTux0oqE~9tS<z2qOf_36Mc9R}Bs0mBV@*$H
zKBk)74CHc|WcXfWl06^)qKGQ}wKNgcUG!C1{HpgDso+hJcV7Ltzr2V~UmbA8BH9|Y
zDO*IG^-`~Y)NY<ejZU!6RQnd+N#OiPvi74}2gO)*CYt?FYeQPNUIi0suFPREP_A`M
zMtg;>mA-v12(;R;%I{}oaq0ct_aZgTeQX2w77c+f2Fk~&Gx(A}#b%rUFnO%Gc^CU~
z<G8qSXJmF5-*|}GydXi2(ee>?2!Sx}2cZ(T^eHyMXwCbntU>4F!@MlVl##zmlvNuq
z_0yh(uT~ktmjqeH0qgJ=e7?_j;Exc>4m^=)d}E565s9vRrhT9D>^8$9Y%Zlt2)blY
z>c0h?p3&kPYqSRB;WO=r@#FDB&Jz)RrhOCNw-J>LVY%ot?P4U(+U^f8^Lz&T)7bFx
zHg?!-c)5^<a^dA0cuFdSmj!_ip2kGx6;^Rs3@`hXcvds{UEuwt3a%a(VLYfH>)yFQ
zQ)uz`rTPFy=5ORbWoM%c*U2{e@IhAy)HQ2pJBm1&u}`G%Z?8E$r899$*VBtn@*L#T
z;pEvYyP63BD#E*0+DkMYcgwL>b<YjKEH%J1g`9e|sGE;8wq%zslmS+4T7L&CZIm`u
zASpLFDd)4R^QT`aAyXWE-34DohpUQ5Y8Q2O-$dtN4gR8o<eCS?g$K7crstbI6-YVD
z=vrE2(pTp*&)ymhf$5>!4Yj-;x;Mj%z!`FUWv$arrdP@1uOD%m3mYWpCy{5wKSbn(
zi<;|g88<-kF=&_th@1cd9c!S;>ka@|#9m<8F2{EMT9q-%DPYlEC0I;Ji27+u$D>tx
z|9%OClP^Qz*aOBthO(6qPWK(rn^gSM9^}gNZLSRShQUTL5HAPmRru21cE1~{^m_<Y
z;<iO5`<4RtaA>#^xXI5A_I1A?Ia+0m5?e6zH#t*<Z!858I3n&TcS58F)pL}_)_~>N
z?Ju*>Jh6Fl^1Y!zNRZX!%?YogqWs!%h1kTxCn3OJE$@1ybwfVKqeAF?z)z&8gF>}A
zTqofe5gIWWI>fQgMG9(DEVY#Ssj;G^bXW9TvwWtmQFt10I>blzt<@biz*iO<u$pcK
zVxr_w{ICh1bDE1%05e2hxM*cT>_WpVK(vksbgXqGT@Dkk#z}wM!+c?tVai$H0j5ja
zl!f8B!R_T$dj8#k0i4?^C$A`hF>qi`59Jszpocu=POBi1dLGj%wLw3*bQJ5SYYWiN
z=_j^Hb$P{WBD9{2E251Z8QOTMP>=^2Rxc<dFsSOu<BVtU`L0GAzNn@|WYyK;r$(2w
z*guuxRT)+MDpuN<yaWh=ygs1YirA-z?3nFeJ~KDnoN0C-Px8`kcUF8cA&cTCKgK46
z5$G+hsT3uLlb@C$6xJL~-Wp(tN1-xjM&R_yiNLW%O@!3}&IzjMqM9<~r1pHJj`68|
zyWWa<LQZ5~t`dO?-yuGHFG5a7TmXMj$cg@1nvm1>UgP%Wz>e@O>UL_RWD$X-XL@}@
zG`uNDTApk4TgJgX*lehCdyr%eJ&%bg*#f!EUAUC`#JTpwt<%jD!DczXrk9htc`>!1
zS4hYT`k_UF1ot$UKhr3%mu5atGOFwD71#0!D4b}{Ig5Z@*nCC+<tV-}Sw0J*tWo8a
za?Kvtvvj#e+853W#DXq`O0h@!p2m0J_v*_IJfQ`AV{(-dNLjCs^dWakNE|~6jEC%?
zosGnd)3VL4rc2K>C7Eza)=~61pLPz|@QJ>Ad3yc8$`10VEC<XStNx{Y2Zk#>5)kTR
z5m<!J^F7Ry%3<NyN&bKf&yOVnF7IUtWdkmSG?WXte3GZ6Lcm23=-_E^i5YOY2zmz%
zk{x3nW)`8Gc3Wo@RtnB~W=r<B*r5h=+&2V;M&vRaEdE!%13&x84m>&z-vo3Vi4d8k
zQ6jwNLc66!>$GwryaKw<S+#x%<IyM~VaKyWW+kkU21~-$C>u#}VD`XfzcYD?DoC0j
zw2Y(`m&MR#W_BePA`f~_&T3oGy($w{R`HE;d+^t@gO6ENbKU~kPxL}^wT}z)dPyCg
z^?{JVmuv!HmMXsMzp<OFOV|L?joo5iC@y!hR1+W^e3*2@HDKUpZbnEtpKSMT)zQ$<
zYdw+4-8hNxwbAIgL~8ezJGBX3`9<qH<Ol)MN+%J_xTbU-n2$7~v_ZPR44f*|nPR1l
zQap2>4dG@fAL<-Y+l5;F8j5t1uX-o!8EbHrC%(j^3WyZ^E0$yXC_=Wqki*U%*n@sk
z^q@_j>pax*1~>m0UIc=h_{v&EofXse)vglbR=QmMw2A*Kr^)bgivAiI;Cw%k7%plW
z&!qyKAA*KikjOEu5z0ADa{vXLrk-+#g;+!5l?ID|B5_;H)N3d_^V$Ls5pNluc{LT~
z!!ws6D@&J$#q!tU9r4W`eNz?6V0cC*)z*&{E|FuwseddU#Xi=1CdV>Er7T#_G(w~U
z{u78bnKaBM>`bc|&A-vuy)hbmW%lH*-xb7R{Y7?@Vd4#O7=lVUo6uN|O>sy*4@AdC
zqYr?FS&&E^G(tIX$N>}(2T!>(7`A!j-iHL^JaX?Vfpy>~G7tPPVyWq7rU4({4JR%Y
z#Uk`m;thU|ED>UxR1t(%Mzks&*SK^Qxu4~iBVR;C2X->)no^7^V+cF3Qo%}_#S5fS
zDka{rgw;zpV_b$33QRYk1}85lS`uKSxD>$r49ie}vWZHC0+em40rZ3dJ`a=3oj$?$
zA{6ja7?=nJ&|gav3V15U;};tWpko+v$yn^?Dv_Q=1O#sI1_Wr3%Gx7uKipOV9a;YW
zyUFDbVF29iQ3wF<!rdu9qAcvcR(7+lea=LRfc?;3^<Ez>1<GfHhfiLsYo)K+vksq_
z=+IH2+)<MiVlrj4gnrnNyju^>=ZEK`B^fZuyRaE25V5(`bj#VzJag-<>hg7kNW-Vt
z5eB?)pMXlSk%oWdJMeqqWCtEE9KNv(rfke5y>LHqS_-ehrt!l>7Rq_yen=QPo%+3S
z0*&yppu`am`Fw<$HC(ty@p>f3IqQt_^b+h=>zOSfhg@vWN7R50fJ(9aa}3{spMPWr
z9{#~M0sa|+U<=rS+Lu;$jd4JN=GaEyOs7Q$fq)S`Fg`k6VCfkuzOjaCc+JD-eRept
zoZ<NK=81r*c6Rvzx8%)y-w{wQ+AS$Y;>em`EO{m?;T*q*9X9J6FQmb8jtc|WZw(9Q
z7f;C*%h1bePQxL+`8hoAKh~RRbo;l>&-Nj6=tXG#o(E+?9|-~-JdGCex~sS>I>mjf
ztNjg2y3gCPjyzmw7qSKWEi4!o3~^tlwL6RUl)nk+;Px64Lggv<A(LU6{2?q5kFBSi
z>?&Xh`U=5bU?Y+n|J48!D$hbU{^3snJ3Vvb%QRubksmIg*)918WVPYsbI}}!aH1=J
zZ-MhOa%7K*3;(-iU{o&rf5A!{rKvtJ7yhU+(=C6d>!(Etp#*bbja78wFW)LyR=EV6
zmD^CdrbF)UVBB6O{{O&>fD<2IS(b&fyjSpA9v)3RE-uoE|2U|`X-3m<FXhC4JT%OL
zL|#jcP|j<a11R9N^pray%p6)@q)Z`DBW|mi_76Go|C{DI%rJ<#^g{j@73CfIPcilo
zwYp9K6TuvDQqOd)V(HAMKLW1)sRn$wQhGXkGGT2<lt16-)XAB8YBY1Pldk;vR}$NK
z{rUJRUNW*=G&zRsfu3u!%ch)W`I(Z^F+pU8i<;7rY=*+IKK&MyWq~5;5GYxyfIY+a
ztSV!aQ?Ypc^U^B4-v^aq^-n2;Usf4m?wHvhR~e&381|P&XoQ#&-&njJP;#DfCzTL?
zEeUCvTA&8qev8%M6$SH|Q-f@iDj4%05z1A@3eX6Nj1@d0^l;&E4t*`0R5ALu#+4@X
zo6cm0)dqqfgE3#nN(DBP5sbM=?Z)8a^r-JqVK*m7YOpTI@6+o7v)v(|qg*+p2GEio
zema20fZP7H41g3v`f&ueNxnd!2h0~GudO@q5?k1#_+vd*isuh|e@y)9D0WzL?LvAM
ziHVPoCbH_<=X77Z3LXO_aZ3b96EVY4#pP5$5m7D047`?-0Y$Y#Q@aPglDy7N?UMB*
zdjg7^fp@upBEA;^#T#H?BA`frEloi2y7@V{e5<LxEV<awqR2ympyHw~va@MgM0oL!
zd|GqVZk{f(6JN|6>o!3J!*??ATODI~DH(lV^Ah|<$KAEL$x-}k8{QKle&TJ<_|b%3
z1JCJ=_1bqex8R37q^Ukqn`w8(K%2uWDgj@Q$liueE$wd;sI<KM*cSHNfLl!S!`4WA
zY;H!^-P1lzW(6%>Sey{z9XMgXhKUqAG9$)BC+rqOh-@*7<rUtR_d-2`zQ}AKZuwhK
zDK_r(yL<=!IEd`P6O6$(Cbt?Vq_*HRR+B`DTYi;1x}Z&GgZw8Bb+#;3aCH~<AMO2q
zgP1c9r1-{yG%CLJVW*ZeRR6s4M0n#{`<dF)f%_kL8VpaJX{RtDL%Xv9VQWiDIAZui
zel!C^bS)q%79a=CU-1N#htue(B$kfV<PRJQE#VY3s5E0@_rlm<BC^Df!vbq>PK82#
zt6rq(B^b}vGkZBb=2Bal9J%n1WFu6v*(7`%>lD5NKby!7JkpPEEa}e{kL6%<h!N)%
zBfYaneyP)vGjd~MBBhb~h-RFN2t%h+7VZEVB_ht_?2y@rGe09hL%E1^pQofk#90tn
zQM!)g4A`8A9q5);a+ZH#v)oJAQ3tG-7ZIbhj8!fyY_H%u@C%#lz{6hnW-!9`cBdtW
z@0VKG{**9uI`s=1k46b$`+IiCtgsc*P)^vs!BbK}*aU%Pgsr$Nrgvl;wB*^ix)0#Y
z<NvUOkFjwVom}(_ANLt7?__fLK*-=rS^&&aWpeoMv~~8Q=)0N(*N>PXN}EWeDF))f
zpME_4I&#C%hj!*f3NwC&M|>U>9^Bpr*RVbe8ChB@+2r_bz%;|jarn>P{K-$=9YB!R
z<QTyYyHI`oD1Djt6OqCqtfAXRd`)u}(-UY8aKBi?J5xu8E}EQ#Z)3veC#R?3qn~{^
zdo|z7e<pMY*1q=4{7kJgKQj)m;Y4C*wzHYOohh9^Mjv`6_dLQfrg@@Zn$yZMP4XL9
z<EZV+f#b5-cnr>}ZYx8n3fgSNN?K^ae7A1l0zW#W!<Rp++9U?5U)KS~*;U|t7=b$#
zJCluG=3N{al263`PG07VEC~l($Mq>`ICufXIkzqrx{4anD4Fj3qo9^IFXkqA0kY=1
zaS>mc>c&ktw1VO3N&-unjPjS}Mha-$?lkBaF2>S<Q8^j+?-7CFqUJ89R94KL&@c-T
z#r*|7)==5F|NT|QC?~<$-&vieg+3@55iKld&&jK*(ECt{IZ5t=!m+s+4@22XbHd;D
z`<^O;jG2@JUC~$kpMPP){)s9SeH1Ej(Kk~RO2PiOi-28x(-{@W$dKd7`bL#O#=ySb
z(yt10=cx_&Ppi=Kqoo4;XH@}bFJ4}InXRzHO4HD<5^vZhyBRU~#?t?Rj2KV3LumbU
zRy#c*srNOQ8*WS4_8^q%cVoc};Xq}o-_xilpXzsk;bpAV!SP0SRAe?`-V_u!DWh45
zL-wucmX}g0Y3rHBg%-&tMNcBDC{=dfY0z9?eaBbU{Ics$=7xlGL+FyU$=>cX7R7r{
zCgQ?HD=V}sp<xytTH7@?Io8iX6JUK$xsyt8i-s^QQws#e?YCG^PAP!8q@Y~p`U*2?
zDYcXG2~6JID5WO<LIX&m^So#tWO+l0&a(+JuW5|01|~Yc?=%*c2SaT?NW_JURu-K<
zfQDIkNOUwdInl{M6A&Fwxy|KRM^AoQvLXnO+k3G9-CY29PJq}ZRW{|d5$l)Cn!}xL
zWTMoCVyPQcHs#k#F{sR@{0deo*q9qG9_}z-cD2Qi%TPj@Xg`dYHVH6NTnb=*hGiz2
za-o#UL{pAO4WK6zjrLW{E!X&7-g5n9_)FY!jeoJ3X#ALDqTDx6Q|d4I5BwAT*>=Tx
z@`f{D+qaVLs_@;xjjsiDCur*EFPFO3ehRtPsB#Djw@&Nmdlu@gW8lWt<KX{>_aI#j
zSFU4f*8;d#TD#IqJSn+#af?Q~Lw1|=*>*?OA3gQg*!X;V8j{K&C+=*t@Kgcy9<t5k
zBUN%V-<zER2O~0^xUHM*QPo>b^&tIBz9}Q!O_O3dsPG55qEud6Z)~pF9TU!O<92Q^
z;j-Jg-PK$rx}7>AKPwNZZ~EX14?}lMe0;q}xp$(H>L~wB*;Qg1)D}+t)T*7<^$UPQ
zOvu8kp2{`At31xpwbEDbSyy@FXI0+i@hm;_C-NX`UQ@tDm$#AKp)vC1oz+_}Zr#^3
zB}?IZkA-h?B{oCpeA$O@5B7~x+)d(pWz+SH0=gb*z0yn9{UN$uqmg|-A}g}{_C5g;
z=CYALvnhHsvTBxBQs`;!vXc-9>vy11Y!1!6d<XupzU;sg*2g!dnlO?QkF&%Hf9MQF
z{6YFsh?27h2J1hnuFbx`>rfI_Sf-iIWW+_$VCLww9!=NG?cO4m-yL9^lGXlyXmT8C
z{P_X`W_wZhX#%{ZC81^wuB=NxN#V+qW6Fc`HO0JaNPVwt*x$>;?jPv81o2UMC?DrL
z@H4FJz{9ZkCcv=ScLs2smN4acGjzi8Yfj6~l$*9v++`10N5x$B<s72n4-EW-C)AIq
z>>v+^$1n9OzJu~e<kI2%qLv3C{AGcIF1Pu>nJo?kM?hH?4{%_K+@DP>p=|CCF9kqD
zx!j*~cuFed{s;mcJPr0xrjJ+Q9T7C3a~dx1#ESH8UCRzRupIA%O0moFINyPv4P^%&
z-oiHl?UwnHqh$C_rzJ-|j7f@IP9tTwPvAMd`9+L}p@fJ%$c~j2u|gUw5nFbuT3F#P
zdmVi}PeTRa5~NiWuBXTi<v_NeIeA<yTUTi4-!>*6WHAXy-}{My;&NR7p6|dfeX;|O
z^x>O;^qng<<&9~|Y|)z_^@nz7cz5y=zr5UL7J?1jw;VzoaVjsoSx3dD$TxBm5H>}A
z&J*gN0NFtvj?=6iM-;Y>6t29&p20-}SB0c15Qhz&!}%d`5IefVuZ4MWD4~T<WeIh)
z@Po_tf$QPme>W{)6re8diYp|>QpcSCo19=5^CVSJ%7Q=#SVJE37Ef_m%y!NkZ<%8#
ztC>6rEb@US`nFajZ(9l8<Y(f(LniSGj}&E;o+WnxF#UWI?^aAt1xKgYHE+3@mtgIJ
zGm~0xmg;dsx>`1t33c`eFuKK=&Ht~vZvmIAs?LOd_w6@?#^!RNXap{L`!)jc(G3l)
zDDO+Bp%Dcv>Q<fGRj2D#mG$VR9Y9bC3P;3H_zFY^KGaOi7j@z=_(i`EnItntiBFt}
zI57I<iwSB>G?PhYn6=h^oW1wid!NUxCf(yFr*ED8{`XpIuf5hfd&jYL(RmAQKYSA4
z5C*TXi%l`Z+c^b>6c2#Nuy1r+mr9f2Q_wUE!vp)n7K`~GIpiyl2|(yTUEX-6W!+$|
z)~*i2XRuafryAY{MWf}A+&|a}hQiNa3o|=V>9&UN3!jG?!YY(vQIJS0;g7J^LYOdv
z%ES?2SSBVwdNX}AsyPP-gxAI12l@CtH8uQ`&J0xCbSJ$DqT1PNhG(Ai<XI==Mv-yR
zY1yQT5PlR}84o|q8xy`BovbW9J#wJ8;&|qztzN&<>Nnu<1`0|~TFXnsJQC6zC1P|x
z&Cva1UUb7pu>^|&kNf`;#DIS>PftY*_+waTf-g2BJM3^P3d_>uMfhZ1s`hLcR9Q$E
zy*1+7P{`(u=KfCR@v1Qyx*S7^`kH0LM&E$y9MN8wq-_WcomG!E-jEo!*dJL^B)!oJ
z@e`vVFDr{E@4u#wyR)joKUb9Z-$BJ*=*TcGaZ7}=Bw%xdvsm&SYa<egRb)*DQE1i_
zt4^k$n+fgl@arkyA%XB9$gfgXe-PwlNgI3|-8Cb>k5OVF;foqL8Kty0Xa(I$9~Oo&
zzTsi&kbVNF&5qCY6I+r5jEL*h%XKPtQ;c`g1;3mO)j9YDld|(mY|*ktN50mm%-wCA
zEB@ufuT$sTSyi40UxbOZsXwG2)&GX__AA}JL4O!-gNnWI5Kl;K5<HQB#=#SoeA7AU
zN6vnfw<K_q*?u}FotOf7PENYgGz-UkbY<duGr>>Y;Ozst8w@`ngur6KOI;f?6}BdK
zGE=0NQUoJ42{>!4BqoiFk?u4qb90BnNbjP~xw95#q`RPEFFeFZ5}O1gC7^LIk|p0c
zMF=S7rb5MmrOckBvs5Dm{G2RxJ~!8vCU^0xf|xb4SGp?J&crLuL43m!beS@3=xEa5
z%NHT}TcSlP&zCY&o|hs7!#qx~SQ!SBvNOy^I}So!b0zD8`=-&Pn^zRJdWweN&RUqQ
zz6}+7K_s@42qxGn0ic7eEcrIMNk<|Uc`^Zun6;*}$bU)!GQlF=Dn)4VpJ&htdE_f@
zpi-;@;X1a%_(P^Zjw-bHWmo95?xrRLfrl0!hlNu1dy37%7H%dK&g8Z`ws%F=g5%+t
zdHPI2$frXIpP>uK#-{?umTM~fw7`Rq#U5UmR|<#HURrC+&E+^{GKp_|aovs@Y_0i5
z!4r9FiKm^$Ug$x!VPc4$xY}~ETU6y_8}zNNI81Y!<tSez9=6t~_W1=%>MeHonrUkF
zI2dvX>oBvzvL8~M(CSk5(v<)B$LnR;=+VPH(3Q`earEPkh2hTOj!zXkCAB_YB#wq$
zqZJXWr}0*wv;7ixTkx#ICEO+c&gK$+kG}!CyNowraS3CJrdPzHw@NysR>MdH`id>9
zj?2f4cHA;u)et<<kG3XN$0XVHm3T+#33?iq;|~$wMj!0%Lk68&psEhB7FDanJdSh4
z6hey=f+0a|QpZfuIsHi5NAWo8S*C!-ulgIXQy6c+LSdNVps-a6Djbd^ZGmJ2;i*&8
zb4H!UOe+4$jMT&$$xJ^#U~pPSiz(V@70BJ^Oa3pTlrbJV<o-^81<QgZ-TbFxId-Mq
zW25a1SY|pj3eD3lc4Q+lc+5-47UUTPhG&AKUAQ@;qt6#Y8~)OVeTH|~rZ-=6;`?bm
zci7_V{5>h)#Ah8e@Kh!;DYMe^q7y$>D#CfBSj&-RQq!?fpM{gJ^A2A1@f{jYz6RR&
zY2h3yar2xFff&2+T0mu_VGOitQ6xijyhA_5@De(sj7<r7cCX{|BsIL@{5LgPHFi1{
zXwN}6XjKC^ji`Sh2wJ7HOWcgmE5Tt#rEbt4bX%0U8{mzI(ha%5S|nqJw;?r*hqq)V
z3LHCL5_iPtxHLTn`S@UZR>2Nhh$~R~$y=DZj~?4q!2|32aIC$MZ|W<FC+#9Wm<LR;
zo4ywdO>izBnfG+Jrccv-amKAEbhHNF{*~r{HZh=p4$_Fp6OV9%ca2^NE(vF9gYHZ+
z6m+gm8E<uvK9d<F)dqC{O2wfgxMAlm*H1%&!-a%Nnu1`g(z?slrsZZaQ_##mVKn7l
z*|F=~!SrS7x;v{XhI2VxzXBC|!6O5nL@r^#O91CE;92rb<)SD_8BxA+Ah^u7<E6pn
zrhPO8Zk!qJrhS;Q`rWj#B^=jU;wHWY!DHsC^-61R0D`;+ch3R)%o(g@W2TI|lK%~z
zQ_0#*KwcUU4D>4+tJM;YNoq@`qM<VoQ|vj**tQbuX7uXZ9aorSH5Bq`4Jwm_--Qlm
z^}=p|ioF04lSp(DOp*Y{!6cS^ugpUzF^}Xb1}tK>oX#TuK(yeW7mY={RSHY^$1~K*
z&9Ar^W;DOvLs`Sr6<l6X#wk<&mcWt(-;;|txg~rz7D`#W6-)RDXolpPAD0MRTuSA_
zmqm6s^5uewpUX2AvXEDygpbRRA^8;Hm`6NCId2bpPoCikHR}#6lzplcVP<FzASrFa
z?W37HRa9c}X47TX12jWkE~ZKUt@M0i(h<E}lkOJ`+$|!MbKw^87vhJXhz*yVOv~XX
z-v!y=yCn?M+36>L0Rv-av(R7W=_kysF~JPXg}pXc2&ITl58*%Zxm?hP4(EvU55hqx
zJBvGRc-sr`-JD?A8_Qa8PgUP1Hd$cf<DD*vy_51rN;49_KZbcwRSh@w3X2M!G4h-&
z6@B`!cfClIjFUQ+%LL}1lD~C?{!xzA=I-#jsA8PLf52*}2k|^DX*PQNj+2eivTY^$
zskgr9s)fx@+-}U|;WN;eLuJG9(J8EEXvR6BXojpA&vF__H8!2SJGLP8`t5E|6G1pV
zIv5}K`Fk7t!Sck3kH_Y~;#Q=nq?Pa_q?7UR#LVP^bAe{1BZ+@$E;jKYS}jW>Q%hf!
z2S}moOk<%5&T<ZulA@N5BfnoC%k?+3o4a^$m;9E{n@3K6<jn?j@%lW&AtmJkD3MV!
z#bIYuQeK&%R<5LodCsMz2u78&kW^B{S6Y0Dv>npcgkCZ=Wgh?f(=m9^Ux!9bxt!UW
zM-*OiVR0>m^~0&8M4vkB*LpDmT4+6yFqgz!Cs=Np&jR~LoaUx}d=KU(d7@is%MNmQ
zGkcN}@&e!Pq2oX(UgD=@Rnofd0<v;zU4EV7-LmYFHXrd}WT#~UnPC`*x8x`_sT_i}
zR&PwqjQLuhq2G}x+q6DMkjuxQ5ZJ^Of4KW@ug~}!u=~S#0~XgXrl=I9j-SPL;<*P%
z!JJ}~yX*LX0Ue4zF{*ZN5!4;FC$1%KD04KzmlMdk4>b6WzrS{5c>_sQY&M7g>2E=C
zLuW*UHL?ISq`q+UjYbf_ul#-Wp%L#G$h2>dR`8P~C}~-v71r+3DOe{nZ?r;cAMzbJ
zQ1bVrK(qqupn<1CCSq@mhb(=FNL?Sj8YCd{VzffM7K9JrJdYq+;R5gA)s7q*+TITB
z`}9sDTET`ujB|J^pmL~ox|^Ijgp5~UlS12;+c_Uvw~)%FU_IYKR=|g)MIa;-q?ir^
zoV4+<ntAT{?k{{NQ4MwQCSKSFKANMsIZ%uTG;K+GG4LobCYh$~IjZ>`&?M8d{~i8C
zdN%##(6f1WL8mWl5`0UuU8$Aly6yQgu7(TKx!LE@5T#IW*T6n_Npa0v@0C*n=k`#K
zV*3^gQR<bGEp)0>ZMWtcdu>sh;8NXT2?6JNLu|cTO~YrSmxf0DrKC{OdWV_GQ^+{9
zHQpynMSpPE?>}^?`SHeaJp5WSomn2u*E(#ENC0fAsDHB%gBL!G)zH2u*2C%a3Lh=-
zNso1K<@DS*j9Ph#P8#^U!B9dT_YT3KO@9Fj`Gk=m5?nMtM|qX7<P+TV&BqjXe;Lb5
z@4*l!e(JOEjUq$%8tYc34Z#on4cHYm-hgF8fGLg*LE)I>UmA6~m6SuH8~i<k(=u92
z(MGF4?v6=b{Tq5IV?1`q{hi1hlYElDZACeBVY%R#WHu6g(RT2npU!e<`P;q2_G<a5
zeaNTfU+M2j0WF_((7;of$fUqZ&x=~VO^An|TNy`HT0c&qu#4n=))sE3OS+~Pm;yTh
zTa%ghx^?JHhE+gBFWaz+Q4a3`IdQ1=1E-{_USeNxBq}nrM|eLMv(`<_q_T_I3gNqO
zI7+1t_mRvF;H)RqxJzNL4fl?K+Ku-TcMrnZDG;&O3z~B>%sO{DNxI?vNVenQ2QyQz
z@PHkGS|v@!y?mrF8HYZ^`jdHJ75=bCu+Rk8JRSb9{FfBJ9u>^eB+}9KJ)p1F-l@{g
z)<J&Va7<kkL@g<h1^Dl;GzUS?dLBZm68l7E2-Hxad!Upxfci_2;0U0`Bu$$!#CXp5
z&+i)58ETHQLgD_N2T6a6y64WSY9+aXq`wChdjX>OPlk>*Q1AW2KPxguJ_TNMmoXBP
zn*;t+${pI-zF4I7f6ak#__vTbYlQ95y9*-hzfJgfs8*#)H*F|nlm+6&z`X)r`dbHg
zvPiq9K_Q>opptJca9>drT<;aO7Zw>K#}>9j<`uS>qD~d;YL}Ltzy1D_u`jpeJ6&0y
zeG*j8QIxd=EY4<ov1aD_c;JgEOoF7wBcmUqtp1M&E@NALINlJ}34V$JeL}$B<H<Q_
zqrq=-M1&69a}S>)LHrJ?FflsJjG%v(BTNT8<XQZbSdp-p&pg*&F)6+yXb`2t3@<88
z8q<qO8X0&c-4et^@FDx5cl=#Ob(sXfJE?o_tc4lzJy5Y1AX-NlI@&rCEry8~<D|d!
zVScR0F!?O_0j5ur#fKV}@05S9NXwrd8NdmHLiqbRFa`=t$e{!QI^>Wg-`NE?QqE&k
zq%_DUvmfd5X)Xo*gnaT=DZbqJ!wgc7e-?l`cE;eVPcQ*FsxLSGJ{Ps}FE@UQg;KTz
z%0BW`5uH;q*P>3lGibso!Zo>f%#=4KkxbcvCKg?-3sJWygSn>Axfe6g1fM;GW5lzU
z^P`SZp5cj&-2@iOK8rR3P+{}buV?OX(WS*|PD@{EUIiWVshom5rqlC@&p#07T;$=G
zE<CbQ7!GnpRtnRPoc3g7CDWrl{$AX~Fn@0y2FCoo^q0fm%iW#R;==||pU`2J_5RyS
zdzJmc!aTgvx4VEtyRa7v@aW!PF)Px*<{HhQQ|Z^05JlLWiU>u#26ul@W&_xUC)UGh
zU1xL})qTz2407>GZDdjjUtGd^%lwk;hZLElz1{&cr|OitIP`lXZ<S?_fYS^Z5Qf8a
z`vO2`8wSNkd6K^}o<H_et`PZ!@*2O;=jbC6XPd{^;o=!Wp{&7+pY%6icbxGCEZ#dz
zQE5sEUW_k<MB3(%7+N-Ho^eQ_j>I1sHS5$`z?Ts>l-YyvpA*2kV;7(D_ty?AZy<@v
zV!+JU68^y7fMN?&S5HqcC$+HvEZmWcKlgXlhlQ~W+9MbJ^q9k^x#Aj~e03u8`ZQDf
zkk6-ig1;vPe44C-2A&F)s6Ng67@^0(BIBMVC?VZeDVc?U)86TveU5ji4jH!<3T2gX
zJN*sV$&WW+k#U&fka5I94t?0d!f!Te(#frWOv}f@R}+RtqjnDSqmhHd`raXXIV`mg
z8i%bA8j_&E_=Qe>zv=H$0ZwBb&BJNwc`<q*R=UCuphUIA2un@SJZJ<~R(3&~KKMty
zgU>>N2~!hqC-Xw`?`>3=luIHkzy?ALUwAVBbEv`sY=@eWZi)Lr_!^ea3b}OO!I!*L
z|N6$OLAj4D)Zj+1HG2D`Da4g5r!o90PT_d?Uo+1n+r1tM$B+@Y{4%dU<>PxveB{sO
z0aKV#zK?|@5y0vco|ZT-Ex(U^N^BMA1TyeukdtE<>=sLK0177JVM&M-{L7YN-IEb-
zEx5fpej$m7_JjYNdC;l_<w+=I^@{%z5*%J}Owv|RL*dnp{L8MU&;TLF#ZSHSYxn3?
z8mpQjPk{V|XM7bD^4WP*#W|N}d_7d`1&KTw5}|~(Jpquz+HT2ryo)p>UXe2kh!L~K
zShTwQdcUA~_T$a{dOxGAe!t!fk}@}TXe56Pd~jb2dUUZ2<Uzk4k653aAN2Zg5M*gH
zGm303f$wiKhA3@5)5Z~+F3OogdnchHzPLCuX?dqyc=_HyL}&H#VbX~C;s&Ei|2*-C
zk+)D6-C0$>2v3E~S>qYr26??85no7z5`2*W$iWwud^<AG&-1rG$SCOf+aE$2g5O9*
z@Jn&aN3YIMla&(3L$hD$+;w5fRG>7|xXW9m@Jjt%2A<`94P4bS8m_;`*n3o7sfS_c
zDmS?45kcTysgGl!ltozaO8G7==87x`#s8S6C*(N#Y=&v$0Ar7H0qmb)?imp3QZCPc
zP+BE`7SF(`&|TlbP?*j<13$pO=u0sA>(F=xuEH3Pg?R>yZ@(7cAHcpWz&~&;C_2Uw
zv(q#@p#qZee~Q9dG<U!)CEWL^cX+5*I<qBEIaEsjvWqW(`b&KU{1wb(Hck{qB>dd#
z7qV3J@x$wLFBKg^IPrPc5;m3Gc|t#QNS0pfgT(JViGc~1U^RwkVoR>+=Cd1{>egt*
zd2#{Q!?<^Z4zt|xP$;We?o59JcC#FBz+#re6qQI7*F#RT+yzEW?uAEHghpmr-%c1B
zjoQs}3=Q{!AlMN<tUH#fRh?Ey)^0hHpqy1oeo6!#R(q#&$gCel`+(lYI;ni~<vw?#
z<8Q!DKfD18{a}iNe#XH2!b1!>D#nHtkg%9{f77VZm{Mg=dPwN#T?|XhP%%Xts)D!s
z8@q>$QpRxXc>6m6q9Tc;%})6T{<bqfxnMgb8;QYdUMjXA&&V(HNg99Q9k$n6?k99G
zPHEP1pB_w`;Aj0kDPSdM9W?M%CNe3z((|H~+_t*v-`K5I*MBC-l2oW?(nZ_<@q&@X
zYOddB9O;c^Hl6=7^uuSr;t&ecxeb{Z)9?k**Ir7~IcZgBjK+f`j{psk?D{|BN^PoL
z|7BOe>KfbidC0k9*>`7<#1_8%%^;}9!_D~5iS@-|GiOL%g=r8@JPYzjf%9ZOvX{iF
z|C&573WLJASZIPP>LdH|ZCWVlnu*gi-6Dt3#|ljAC}`K;oq5=*Y3@WQWwq<iK!U@r
zk4Y+>nu~h@yZ&CIN-yaPyMB$j=+3IDTe<A|4XD@)64@^$LJ9k20w9O|(vokJn>eJr
zh&-7<jF`2?vfpLfzdQv<#rk*&W%b+kuTXXnrAc|19rN$7uRc}VD&~&O{8M24pR2%K
zAl%Mj;|Xm$A}sq#qeckTC!o(Ny}BvJJL$r*{~$qNwd`Y(+LE6$;?OkVvJ+St1Neeb
zt$P4CQ{1}$dFrM+tI8eWEs!~@b^kHQ>jjFqgQ28}0`K>rUn??3J{5*qr!^W0M<T~q
z{FK~8dhZX4wEkC6$fuVTM)-$?5&oxjK!D7gl{i@Nmqo_N5r#dE;u|5zFh!$vhmf=6
zdqocRm-7_mDFtHCY&TsDel%r16JpR?rEtQ$F+;7~M}SI5MjyeeDC@{h&pzuqeKOr*
z13}<Um@QZ+MQ2i+FgxX^L9+qMdlc9~ZOU?T893#}_O!qnW0=X=CT?Rif|_Eo8bM`1
zZ9DS-NWP;TP{JoY5NJ*p2=s{QBIid(<vha^^l<|g%1$5p?wF*QA=qKf)icRiB#G3|
z+{vPn*=Rm}73|Q=dAW&*VLm;dAO=J=7cuyy6n7+w9h%sC`U~+RCB-gTPO`<3cnb(B
zpCb{|nIrL2Ffiswq`wZ0Bk}4%2Tmgi%KTgLg}D^v$3_b{NK)_50^EuZTil9z<#doF
z93Tm&v6Q<32;XjRdbZLF%J^m)tz{SCK`pnGI<;y1>rHr}C;NGI&}{@g{6uNK(+tYJ
z#yf&-cp4B_(x*!EjaC`tH6&4vo|@|ZcxkQPK_TDG*E*a3G0=&sc<9{a_sRW{EF1mq
zVeG6lVKH2X2XMmv4JMN9#T4HXU0tw{j_?{|zh&y7K2OUT%<-wzx1dl~f8~$;4cPr3
zya9_V08><IRs5CPa2ktoBF8PcKAxOXr?IpA7o&GNFBLFxr?#Kj>ith_&Mc5(iUw&W
zzt%Bt(MuUawa=@+6IQ?0YE^m~aKGH&2gSmxYA7C;v)<T<u+=%m?J3;uAI-=RT?vS?
z1;~K&N`D9P!>P2C6H7y1vO5f!lrXX?y;OZ+Pcib313r#-ti1^l3Nfy7k)}j+;H&TS
z<+S4m(LRzU6w=AW?ZCgy-+-M=cmo#h#}tkG<Hch!Xe4aJNx?{I`pAbyO@>5JCMF{{
zQX82G=RU&FXw(b00}b%1WWBTDbKW6)J<a|Z$?a+WioYiXJk6|w1-a`)p8}g;vGrzd
z!Dq<?o#dYJj@l7z^*th#Y`4_>#NU9O*?0pM^1_tSFxydY)oU{7{!la9zY>N<qjqNV
zqmhHzCcH!TGFxgN@`ZJ5_4lLzv#}25VYc+V7}gPQ(88~ynm2-vA7{LS&!XclIH>3{
z=z`DIXGCz=K#1WB9|K?xRRo9aOk`s>3WiDg43f<cg-blnHF98%&o7OSxdy8o_#)I}
zhELl==9f|*zVhKF7`kQ?cP;p0e*;Xy@~g;<xuu8=`#9C(VK?)P<5)0|;)pT^5aew>
zM$p186vypE_wDHg-BPvED)l-+wJ~>)fM&X135_=R5uv~x=YVj>le(tIcGhYQI_J6B
zJUB(=2A0akVC8Gf59Uj)!Tc<=1s^B2+N~|EL9@w?Lp`MpIg^K9$6}&+HzS%m@)AvW
zJC-=<^2I=L@oc;VM>{`|r>DXg|65pSf(zA=1-Jx6K$Ck~a6tI=DW-=hIG3|ktMp>q
z;?x*_!*+N4Kxh;NK&J4aAE#9K*aF3f9v72pDEe$>lvFeRJe0D=!+Zu3fY)rNc4CsI
zBpJI8-5<S_z!C~0|0SuB92x(`sL)Vb6kQ3OMBLy1C)7cAR&@`PD;nm{pkgmX<nL$r
zXhZe-`=2c`Mm`B%d{Zq@+&`Y0PoI;Y7U}Qb=9rW4uOM^Q7>u7o-a>QYKQVgQ^*SZH
zsYxNcER(X{WPL&Z$pjtt<BRm@*PxJ3-BMX07wns$;-avRi6JkV8Z+!zTZ;@b3+!t&
z`6@bKyww4}ut;CdKU9Ffz9`_{!@I95GDeO!Y?94L7);URzatXHlJ8hrKaJH+PDo@;
z26e-%Dc&5oLi~O=MG_%D^AC(aNm>0NeitbA#L^^~-RQWASSMu3sw&7%;}$w6k)pAp
zYc@(Qq_uYv7g{9m%sh!+julaTcMu6%*LO_P=GVLa#70Q?S_lo2dbdAjRF+A^ewaGv
z&RSTYJqQ(h;i0u%Vv`{K1T+rPx8!?84r-AQMtMpBqnPccGs<l#Q0HWni%m;m%q_Wg
zQZ|N38XGy+Boicn#5&*1OoLw95Ulfcg3QV~m^3oh`D>#xH$N!a$&aXW?yQAb=Wn25
zFFeFL5}O3;B%pDyjwRoge54~MKgwAU7|3iroq@iZ0(gRfyj6-Q%11J+Up!h4ce)t^
zq&~owx=|fvvE>Gx+TB!#An+*4S74!(jk#jt@qNM<A7!y4PfsWUZ9A0k>CD(;4lwpO
z7r_1*<`HPZgpw-)O&A^}fR+d}+E;lFxyE#U$TbX%A99U<c_YyLW8wjFuf0SNM0h3s
ziPmhr;AHsXWw7mAN~co{1JxQGJ~;-Rz+~3Df$SaqW%jPVS|C^WuH|jJx^4Vosau+4
zr)4zY_BSxca63$QTKv%yf0btkjV1(=!DY%@v*nx?ZRnwH(0k>}x4P%T<a<N~Je=(!
z=%5Hp>y<k}x6JI-Y6O})KJBcjQoDm@Pl#9(6|=7}dNQ_6jJn)E*nzM&{7U?MI*NlI
zJEfetv5es+c3R@6l)$w7-U}0{j@B(EL_h$ZvvId96@BRN3SASp@#8galji6%GLnRV
zD|3Dw&xa&3wve#N`rY+=G{zFB-m0M*K8V#&q+NXf^NM(E?5m3Sh2DqXOX<Ud^@pr|
z_<*Yq@tx0iAd1^c|AutVlusq@Z!GQ-Pm6;vQVp|Dc%gFmz`q2AvId+y<!`|51LqA`
zeBhX(va1row*)7JQLnKl1Z|il>SXd`qb@h=t9q#?0E{)F#+=k&h*oqCZet6|3@qEE
zhdxL68O_=K-wX+TnNrs!!9IA}$m3M4LK!FVoxej6C#dC^WPXO{#>keWqq*WneP%KZ
zZwVC2N=Y024cIA(H(;S8OmR?BY&A#{lEsQJWz=MhT=5WOq$6r0os1?4Jfk%`8Tnzz
z5k_&TcdXtpiqt;j3!}K+-;)Ai6s&^<d2N$vTM#PGSqU~vS_Cqh3i{q5JA`$Is3cp!
z(!2Z(*jbD>U|}&#84Zhl#Hh(2`a{NILjuoe&CX(e7;>=K7rbNjvRG;#G!{FWktVE;
z@Ru&k|IFWq0?fs_R*<<)PT3YDSZp~jAeJxrTOa2C@D9_#P|pxeWMinG`Wvt_6mP)7
zP?+LisC7a)<{Kt9^5puJ$fqN+<ZXHj2I=Q#v_yO9>)KJ!hlKUR&UAjLaxmQ~-f?@G
zF0~ID)A>wBv>`pm-;)BY$2wS$^)@*-+zF;zqh%GWXS~(P?F#Q;9SnF0(ML80e5=0!
zI|K3tEDVS#4hGD5;9<w8X~B#}?WZ$WlfW}tvon_;h8)cGe(zYl%$3@Qe9ZN6e@_Z9
z7wcdi=1R|tvA3~>DYk{gCBr*muQ$@L)B3XTvk)yB{yuIZc~B`c!cc_cUGN$SA7<Sj
zRJsvAT?P9c+w*R_sXZG8)&5OfSZs`z^YmEZh+o05pEM>YKC~rTXR9)NQVDSlpTg42
zHnfa295+M4^&3X@Iv-4iPeE-g9t*bZTP${9w7h=>GC^0r26ZKtDRqHd)(z%r?dmXm
z25VhOzve5A)-e1&6pfa{3p8R5g~8btZ*-v2Z4KWSJ`Xj7e+;EqI2=w=_#>=U43n7_
zCJtk3B#{wLuW5Bx%^5fh2muaXfPDNCk|*#_qCCa%a_pPnsCc&A;OP};0h8ga)-<{7
zgulZ2#>0Q))e1YkP6?Ji9q!OtaXR}_IJu+J>Nnssd*y7862yL%)I&X_xxFW0EK)Q^
zd1;wYUX1@JzJyei!$nwv#qnB4^s;N}ja~`<Un$L1s{MBNV2RjN_S>By?%lDhcN>cK
zZYdB@+`E?`%J{TAJr&N(%~)uHFCQa|GJY#ETWJ!Ftql1Rle83cL~r#7DhOW(Ay=w2
zo9zQZ4Gt9R1g%=H)NWx|`&d$CGy;)QE!Y=khDHq#&}At~_1D0~K`^c7L3NJMVoXwr
zIbNG!ZGlxsi?@w7BoGoBu_Z;4CaqF?jE1~iBSMaMQ^(y|)deV5$nl$@VlQ-L)0Vg;
zVk;7`Ibtg;`F1Rjo+PZ%LTlobp-z9Sjk)6dUY9Z@NOnBV@70vmALn;T(mWprFwMwM
zK$LJl_-F*9_xA>^po=R2=QgH{=^^|!13y=#Y)KMXBG`MO_bN1QD)bVP;K92I3~LM%
zCaEp?c`!EQTf_ezF)DL+8)u4#_J4vp=gz9~Sr|fQn_5SDpMD^5_$cJ{!b5x}u}Sb*
z0vZROS@KQgq8>T-QND7(LuT9QJaktI+&OvZQqxQybI_F#V37=i>;`Wi(EV3)pm8c+
z%5`l_RM@ireHf)m)^76hQix!nrwKGG17VWd(t;T1=SF4jZYvD*0(H)vwJ-zy0xI^x
zLkuLbNia|X8V3Ve@@>saJTVXDE(&a9_8^^&zMTSkPBuE9+t*8zyLglmH#?WEqWwN8
zgW{FRIZRbI^gL;y=ZlW~Es>&?X7VPTeBET^r3Aq!FNf+J+8!olXOxY09E8f}O4bK=
zzR{$6a0)wZqanDn7G|dlpkgnG#7+{y1Un@Fbg+{p-zGQdNW>yfCSVb>)^rv*B?ZWw
zEOMo`wJA+Pq#AL>HMkpsFLedMlqNUt?N&PV&09Cehit-+fpX@i{Z2*0vd$UDcq{QD
z_8DZRFz?I@_IW!&W?g46DLebb#&hefE_WN1xv5=YjJv3F?yQ9wBZ7*(@DO82Y!Zx-
zfX2ZXmVB>IQV(31Nc00YCT@lQVjAKvR60uBs#uT~$3wGk>Fm`?nT`Z|d8-tm=;vfu
z*Lb8fnnO}-kKsCI1UQ+pj_g3+zsyCxJQV$FSSZDMqgX_Du+P3PMo}U}i|shyDb4OD
za^5Hws)be~#Z9!(nm~p>mj^croPRb0k#TZBd~=b5pB{POys!!ivvT3^?>FL!%sEa(
z6*I|ga`H6Pb8BFz>u@DaM2f>%qx_YK8JCgZ{BFKwGyP!&ShBta<{>dCPek|?q9cdL
zHHybq^kvAs9EeCt4DUWxmWqD+@C@%Rc!lEWa$xr8Y+qz_3`%$!R%4uldYD|Hc%FBJ
zj);QSLZPf-sF(R0utyZ|1}qT;n4;-PaqxDm6eYuWC`}4m((P_CYI2jhs`+@rnG+EO
z<bhNInx(V&Y2cX~2t%V$dtd=W!!1t*D`HUdxm2wh)U4bs!oL5|u3}|o86_+{=lvw_
z_M>PY&^uWtm7`DHCoq1{-+-Ndcmo#t!4wDm6ud(5Q$~%(l&T(X#iu<oI(md*X&EY}
zXhT)-b{~xTWuufa96R3rPJpOLa-{7F#lQ5oodL>Br=6iQ%f*&#BnGc}sn~)%BfrcC
zTfX2Owm06#Pv{VRk}uxpMSo8U#QU%g8h9!bnUr1Wc`@F{wz`h^3dNIVb^b9pK^a8G
z1wz07L5)50t`sLgKYW2R971u0q79iC({L?J@kk?~XjP+NsA!F*%nnf>#)}gVbDfYP
zZPs(jPYu{|--*Z#O709&{|MiRq%|JCAv1*`lz7(PkpSg|d{hACDzFcTFDgOlqLa{4
zKUg2zRl&;}`f$aA*k-G*B#NZPU6%(!5$Ul93r%pfd}NUxFXe@az0AW_EpO*TsW>7I
zEl50yqYViTyFMmqT7<Eb>rouyhBD3z;-@}m?=`A)3s&qR_aom)U36zvWpJ)|jk}>@
zFGysbln5ovlL>$v=1EIF&s~TTv6KrF&01qg?~1Z$rT~eU^C*i3W%Wl{%qaVd1zni9
zd8XY8HnaVR9&3?vOY#KtTBTSw&3LC>@Wz)21gp^=lhl?>HCN}2%vUCU*QnM#0EIuk
zMcs5~Rrw=)2r_4lv-lq5^#Vow!BEl$>^(y9r$xrd8hK#jaYxbr{BR4|;}u2!w@5es
z1q%5TvcgawRV@m&@9xBnP^(I%ZW>X@i9roipOAN$qE-iamX@Bs{r-{>J8sE$)-`x+
zZ_uLv5tJMDt5d;6gR%g;FL9O8RJO80ij0S5`{|PLiz)M(kc{3ch0A3wL#^D#j(SN(
z8~bj`Ix?5bZ{(s8?sA#ILMdvL;&Rz3b_Z}g?*DgpD9+{qkbEy?DB+VLNNt=h5a<!p
zMb0}EZ_hJ4p=RHTg|gF!zC9+fZRnaHYV=G}OQOBN1DQKnR6-lgr!R{iq?z+dTq1^h
z)AI>pKvZ)PgI`K<N1WKS2}hj25I-VHY?|dHTaJi&2n3by4n<67XGHxu42+#%MSq!R
zL@~G81arh>>Yn%r3%V!I$I%N;vWQdn305I^wps7KBYQ`GnZ1iou!>ulte+RH<Br2E
z{IDrFChJu29)s~nCY3}|rG5q^op~b}PR8ov^~G$Rtxv%h9*cakB3jmK54zQ0Sf2v1
zQ9n9bTOD+}L91Wp?`NXb;!U&B3WhV$ieAv~gBb1&qYd!Y)u7*K_NM2$?N%SYHyB3C
zuB|i&L2r2fkni8u%|t7CV060+<yV5EG=Ps~<~#6X6>Fvpb?<|pWBli!+k{_h`t53Y
zwo=`PsnFa~=vVjPFgj+g-R`&AaG_<Kc=^%MnjU-r2Z5#Kn;{Txeh6>YLXbwIQ?9n>
z=b>m1svKu;f@VN(%6JPvnZ9d*E<=mFK(o?=kL%#Y>Tb|!cl+gLus>)HFJBam)hkW;
zb7{08xVZsX^(*~BPh?seEv*H!gS}9EEq+!8SV0cBdvYG$tn7Cy)d2fFd~dY2(drEP
z<)Bq<qee4~Ru1}eTVA`R*MPrI)Dz1=x7+TP>+nSpoK*%mV^^zvpoaFKuh+7aY8gfo
zMv75IxTFRgwwBc!_d%3CQBN=mN9%D6Jpif>5H(>;!)Q&j(%L(y><s|%8vI@qw1&~K
z-Jsg;*2?UA6leyn)C3%sRoksO7$zXnsKLdg!Cd2JI2<inTN(7*<@i;!r~yQ^rZ$-G
zlqKN-u=D~Bnhm<GN)szwM{fY#Ru88?e%0v(gIc?M^E{H&`rzhH8!rD;OA?h-`{n(O
zUIV^!!n(?}Mz1mpcYexVE*A_@pNdw)V0yp;6+A)>vajLU%6N=iZwMT^5&wcl;4TTw
z12c@Z)nLk3bt?ztPax3^$W=f&t-U~q&BlDAKfLUy=YF{~TH6Uaa82S|0Nhw*w1{u$
z>QZEns8sLwJH2gNw;nifV7ha#UvIaj+ugleYr+1lkh8aS7#)Wts4GyS+z;S}G~m4<
zxG;jwmebBU7m!`sovRwn;G4La6Gb!qb{iPI5%lM%nR<V|2~Di*S7w2WYW@1~@)gkp
z(BynsvZw5Rxz|Aod0(`?cd*s3++40V_ST#5AJFfTW*bR=b#J}`jP~{c@O2M>I+lL3
zpXFw|TH(-6RO?{ntHQ)Hegl*VLMXj&(19k_f>7!=`hY)^1MdUsX;&MqIiLX{7>+?v
z(HqR_`PK(;yGIRp^&qrW4}w0_c3c&<8~e%ud{5deS8BCxK$79T(c+-Be+bJ~w1SBU
z;7K5_Mym#U6d<O4rMou(kpslA0U82w>4T&MQm6%Uz2U7O#I(09uv^k=sBKREzz<s+
zHG01sU$Vc$XK_XOK0JESN_>qUIbbGAnCaC|xfSk>z;sw!&a1DCma)#nB6%q@sn$=1
zjP+As={S!J`|8J-(b7h5z6}(M+T_I`D8PpN{=+In0}kFp13WuJ5p0k**5|^{tN>&_
zhmUXLF_QlsA2+Rm#~eN`SPPGf@G-ps9_QlY!}xd*ACGQ?$A7@b=O^It7(O041s)IM
z<G-B>kEigl@8$65;N!=q!{aCT_~x1Lcp4w~Z-K{0@Uh}7c&x$456_0jkMQy0tKqTa
zHSoCeb?~?wAE$4F$1Cyiq4VJJ+xR&10(ea0<9Bw#;}Lw+FM`KBK3)x{YKGhKaqSiG
zxE>$R%)sM0eB62!Jl>6udv?L&K78DKH9T&`#|wMl@e6$5g-Ueu6n*1P-@%iQhdgA1
zXpPFnM1pIo4Or)phJh^E8x+<eAER~k4a)}{09-#m+ipt1Kv{pycqwzQ)M{KQTBSnA
zX!XOo+wJ2*f1FttPdO?YgQcX}9^gVTj8;|K%_eXsi~-b%<!|8c?+4zwbGRFXVW-lC
z#Q|8c2dfx1I0@{tws)`xvQxZHvQc~$(FGR)!?x%~p;EKa>zC*gOjI&pDK1q?v#>($
zgOpaVy)<aSS_GYeZ#4&?Bh)}ck>A!XxE_6f)2{*l=J+}o!cL)tS8rS@HKHZ-ja9V#
z%{zC`Tsm_x3UpKyF9*59b;$5-r$KEXN7~qr@$eS>IU9E1m+s?H_WTP*fLretT#t_A
zeYuf*e_kZRyP<>y#7)~Z5Vzvb*&sSbsyu=~iBVR`*R(LLYP71&K@BvG_Fi0*#%idQ
NaRmlRV=z1Y{{W#zI;;Qy

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.profiler_options.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.profiler_options.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..9fa342ac0165b28a63c449281c769626ded4d82c
GIT binary patch
literal 727399
zcmeFa37BM6bvQo53^Po#DuO`UPzXYe&cY%HjROw*2m&$)3XDxncg<8ix~rP1YKB1|
zXfz6zg4+5MqQt~42=2IoArfO;f?E`qxPi-Gjhf&Vmx%v!&fV|3_r7~y*I@Ve$@dNY
z>b<+1d$xPdxy!kJ=hyDKXz?QaufJz^y3uT1wWc;P(P~fByR-dWCfegOQ}tGF_BFFB
zUpRa1Y_-3lQ`^>U&veG?v;9R-V!Y9uoaoeBvzuo7dtmWibF#aJ*I(YPkN2AGmaN{`
zxv{LVeA8^Tv7*0oui2ZdYoGdio!4n^X-?KVm2;=DT6Y%9LeZrc)UQGq93@^dOK?HM
zd-s=3*8q~<Y~wNg6=M?g#*+Rr4)HntrIXE8efFH0&9(ket=H=`H_!B7q&TuA&516K
zV)^)Ft=ol{@Vs-YHpQNHnV6YYKQ`CKFYna1V40cz@?LE#ewuCU*%)r@)_6i=Nn@n{
z+_lf?);ry`&${U1qmDm%?R2M|b=OYRdNp{WL9PV|yK5O_#)mbcL{~nIwHZRzbh<FS
z1JBxNW^-dvf9GavqJEWzL5AGMK`@-g!GO6#;NO$r-{J6YB@PX+(`nLxs{N(YwPt6w
zzjmrUF*8{|p`ybkJI;eJ+h4<Ktd6bFSawctwl>pvN@KN#pPLHtv!!0^&2;Kxn>)4E
zc*8&uqLYx=l}{2y)7wW8voO%s)=GOz^tb@6ivg`G`YV8qYFj(C>4t{d{?Qw!>*LKW
z+bg|By~4>++19AHDxH~D3;V(kh?9x{ZVlt#eaqEVoP7$QZ9QYFa~cOC^Lj~)SUw53
zZ(d?oP#>_ohN%;w54__sS$0_$@C-VmzwYE(x6YJArAqQzX|`f1y>hmHR3z`NQT@z1
z*_hD-WN|4d%yErhgq~XjS`ogCb(^3gke#(M{oPda)s@67RcLBYs!(gS+P#{kJ^Rbp
zU<G4|pNdzO0g@-<c%{GMs;SA*?sN@x`7YC)I_Rq_>$Av08MLy6E3#YXnV=dpL1_S#
z?Z!|B6Bp`XF<CWs?pI?8Eif8i!NmDr`Eg$D?+Vmk4G1Ra`nw~rL`V8v*Hv`m>c$I@
z0M{x4G_E0;hf%JeQQAWsQcNTUp}#W0d{qd{T@XwL<1W~hAH17#;MJ7~Z>r(M0~0DV
zH`^b=M%$Y+umom}q4t-td1SVKcqEZvJ|?t*DE4>RGBY_z05)EO2%Bh(AfnD%43O1u
zkQ!f%w_82kh!I+++IWUgL;X#N#qMZjlzJGw?7H6eX;3z6&ZxKQo#yyumsTzrg;9)N
z7744yr59WV(=Qo4`}UXfZe}G})GL7eeL8uNuczy+2>@g4DzG+mzTVFVCu4yX{pFL*
zUcFPB)G9UZC36aZ;Db^?fVLWL{EObXImLjrKoInIn%<7OV*6@F2!o(VhL1x#9}7)T
z{beu`n4eRqzJjVu)tar@#^?IW;TI4GbQb4^{;u$*e%173bG+G`y@3jBt94rNxB`p;
z&Si~vAlwXXvyIn)Aq&maI$P^KFkDSylM1{WX3_br`iR%x2YkM7f61cCC5oE;CBUt-
zId-~7GW%$GR%ZNlpJ=M_Q_fRImyinuG4bEe1N_&xpRwLDU_B5+Q<DhB`$-hzHNHW#
zpJ+3N`mM%LOR#A_J2k%Bct_*G#%mf6^-B#G;RLp7e4pznM!UtE6dwBU!={_2SuJ}W
z+XG`yw)bwX_mo!K@AP)30_tx|bL$MVhq)giW(t1+si3mQgMZi<&i27S<lDp=p$kBK
z1j<U;qm4`YXM(LiUGMb3sj5Vq4r;<iR{^VU2b*+Vx&)z{#(THSQyN!egqx?ANpa=g
zcU`>b@1uY*TBG^ua#?JJ0JI`FM|&e#1;sc!KAKO2u>;m-c8sjmf9w1;I1Ln$?Rm3A
z(U49Ij9cv6*I$`PI#UkUB}~=E8yask=2n3!FuXKWWoKYB1cxHk(upRRT3jtJ8?De!
zv-b;wy}RsDlSHatrJS-OpiyS|HQv&As|o$>@it!L4p6Xn`uGx69+-LyhevRd&W_^v
zhPnD(f?tG#sFd~L=hwkOY*lKYv8T6V=t6}WgrWdFBclq@<t6d64gxZqO-Iw8PcaJ&
z-%|?TEBZrQn)S(vvB@Tc&Xi{;&<}A)`tJP1tJ)sdaz-c~o&<YZ{FaC&Mfma*EN3?`
z()<nn8Q}tU)*|2-IfBjYiS0QsH5cYclynH2);bpR9NyK~r-EV6(aM#z$r*@PGCg&)
zujWJ7-{P$+2iq^x@o;uq3VOiK8P5I|YJ^NYVAkvwg~pl9N;}!1P%QdlR`i9`YW5QN
zW65TAqxP=9D;H1lJvicwcM>5){d=(WSaV5G|07sQr+#*;1_I+*jpCZBm&QFWv@b-Y
za2_y$`eHOtx{b_CZ-<w~P;rOhOR;Xri0)Fvv^hTevc`9_47&#788yn?K+OB$cL6bp
z=$|PrCy0*NOCoxhKmH0K9?pa^5!O_&QsbRaL#TU6NeEJzwW`^7pm7YkG4s##XZp*y
zbHYk32d{)Moh{o5D`99x`@Ou?X6pbqAZo{m=Y|{a7T}f(wSsB8zFY5ASC+DBr|P{%
zdjf3QV@uey&}~^`_DPyCi_r5hJ+pyUR#u-_Ij0TFKPbG_hO*q2P?t;<(z7WvhXB_7
zk{q_x4w7~Ix6Na-mJq;WsgI>7Bd&n}8S5Qu-t6ygAeGG^BFHT(Y15Re0!Fzh3W{Oz
zvE1~^dl0kJa`D?F%QGZuT_$vYacj1wTe7I}PsA$2*(m&>@ZjTUs0hRKOl!P1lMA;m
z9u+{qliB^V3%Z}qcYm(Y{l5Lh6{}4IOy{)hBzPevC9cqE=84nx4XZgbrl%t(ukB@&
zt>IMf{=k~h?-S6ut>3e=;ANO9rk>Pc<StNl9FA%@d#a;-SMj4*aV3b^k@&_~IOve!
z-PO5vsniq=2eRp-$q%#GYSetMBRjhis^ub3dTf#b5{P69gx?G;*$8(b<dq2MaOOgY
zLVk7tlp35jw}+{iDZmPD947_&NKZhpSlm9~BRy_oy;rGCPHL`^a){g?C7H6j*~mY_
zdlECGUn~%{xSBfuRX3sVg9?SptGsn1EFs|PXpJHPfVf%@LxMdBr*{dJ;AldWuvY2L
zY=(IN{LUftJ8RQuoOGJCo?Px;Q$g(GNAe!Jri<ELQ@N-Kl<Cx(-Fl_o>9jjTP3FUH
zX?Lc;?Z8FyX1CIuVrGwYWal%8ihDl8xaU);+>`wq);RF2B_MQ)LfQ3T01DO4Z1!rg
z4>EL~n3kpUslSrIk_Yn56i9^!@^!2v1rroX*aJC{&&^;ag0}%C)@sIOoWYRdDu~go
zY;Vt0w$)m|MC}Uj8sh-82KL~~Rb#Mkqutu7YhpS5bDvB8Hb?u*=+S212h^iWau-%%
zE=l$<J`ZO<gFm#QvQwpMP0sj9SMa%cVNriCF^c-sbfea7nllRdV|)-U=WJ++*+Eb*
zWxHVM;cRF46Vm$nWRv2@WxGMcE=-a0CegHbWf7M4?eAQ9==#^#rcMr<`}S8Mf`n=+
z<Qz%;#Cn{_IwjS#=Li#!6Z#Wki!ecW<N*c9cK7sY80}CVd3b<|7E8U1F9`{7$D2+|
z;vXJwIvFd)%e!V4L4?6HgZOVi@P#Rm5P~;CjSw3n);NL@;v@tI$(wO6Uub4w6a*`g
zmoE$!i9Lsxe-OY5`y9v}HhuhT2#BBI_iR^ux*nf)lTW+D(}4Z?(_zwXf<IoLt5bhM
z38!B4UDmT-uNjb{ttwd>V`OQJRyMcWla+Oq3pz7(^7PSfy#!{HO_gihUjHtl9pU1s
z7gD#-JbDX|MpqZ68VLLUua$NCZ=T2gzd{B2McL87eZn^B@8?4^;VnBpzHHU>XLr>a
z7Bn#4nPhm6M5W8$54x6jLRA>nc{->8*Z!ZvJzWaT<eXUU+q0fv=`ZKo;}@NaOk6BQ
z_GL(LxSRCR#KxDc=1iv4Cmh`Zu-r}Cx2Jw0T+J^KKFuy82;f5t#bO>KV=)*Kt@YX+
z-3VN~PH+f3nV9%x5EK2y?R+5SVXQKog^5K=FUy)O+A*#cj$ku7s2Bka`(XmK%Tkll
zCY~_xwWT&Q*&73)gN6)F>hIm1nVxQUdSl(GTBmo#OdEHn<3x}x!&U{%{@KZjlKi8C
zQaW>p;yg;C)K&I&#1UzOn{=@O6W6I%9b8M1LlZUCAZm2L61bN7iQw8pq4S&;fPGRd
z@Vi*sKt*c*gdnV0NDHu@at;FQ(}D@fV&4tHZpxvAx+#khwpkHnRoj?E7`ZeEY79mk
zdJ%DD=tWaYUnA*rjfJ?DRnZi)IY0w~@8D+B)+KygAA}&1blIChyolSyZp7$_A7is(
zUBDxLF5y;{vztNS2N&_%+hMTDupiSc6tj9Ys+q#D-?0~R+tr9BOtdSoN1pb#!QM}Z
z3qqi4yf!1EPbx52wz^ba+1rrR!`WM+DK0{X3&iRpTKqj99SDGm9}b_7@w_ez=&i+l
zwG_tNQt7s3054cZA@KtYiSJKEV)j0)!6Il1#z!H7_HQYWiU`^#u+j*hKXC^~ID&Sr
zW(8NOXn|1_?exhShRz^XOW!&EA$STARj@zSRCo-4(FNZRZK+Lm>pY~E{X(C#4Xc{Z
zcg8zOBhqW%j2^ZO5d9riF+*uzgIB;w`}XspH2kFNd|TgUD?lqq2Sl@tA?Dz)g&($>
zGiL%_52GQ)17|-c@ccz}10*SM_Dg8kg%=8(Nu=ZgXE~gB0%wkL$CqaoN%;O88Ue*<
zL#5^wUr6mM1^Cw@J}6O<5ucA!(Se23R_$yus-ImDTpm(eiIw6NKo#v*TuPxp25ch+
z5!ZDBteB8wvjbuvPw^ELb>r&*G1sMxn!<OZP$M#Yhu9e~F^yeVLcQs`wIm)$y<L(r
zJVDgwVx@SZu0Wzz!P*zc`WzOe!#|pi22EE_*)pi+I=0~4pGDnz71Sg&MOu5Yz5an;
zLP{Gr)8XFyjaADpL8V7Ty+#bkUaGJMRIIa_gdG16G@XU~lEmi0-bIvJSU>SmYGGeX
z-gQK&iG2c5YW&Wk)E~nqic-_l4v12pKiRHLjBV+(r^awOsAQ~~PN!AmHnjC6BGx7x
zW#iTxG&jg>kxq-OBIl*KmF-aDk!pxyqq9j-Y*n57;A%td^WTjI$;K#8WtcBbz4rhR
zPZwZ6AB)olxa<E*vR420c^ttukqdVu0H14H{PwWFv!IXt+C<n7<j`Fa=WyU(p)LD9
zHj|I5({c3>12Br40rsWH$@IaBAItZkhFKwVEPn`&B^bQ@U#J?I+(itLZ_N576*s{?
zfSo~eu{j^5vD0lCD^8zaJmRN0qP>@e*f}_&J)vqY66oLRcW}6;P$ZD`1Y^jp2jCZ7
z8cllcN^9Z9%9X={pdAG!R-R@x>lbokzP%EIP;=h%cQoPEHCp^)j5apPcaBxj98WOH
z7lsDZg9D?EDBop42z2i<fYCWb`PeW_^B{t|T~y$F{|nu_4y>$P8ytD|2n7ta`(@Dl
z;Y%xFz6aS`4vw1g@CohQa<_IBkjZ{i7?QoAvBY&02B3*mot93eR$QE~qd2v{v5ul&
z(Le*wGoxO_6!Lck(V-6`z>?PDpWa)<(!o0bgqTTz$DUmXQP|AxhdE<#vFH7j)wIT%
z_kl&}{NREzWhglNc|L)I-U{rGT?-ooA^t6|wyK~dUCFv_xE%+~X?{Aa*`ob-lUrm2
zH@Ti<$m}b~jKkS~MDrxl0C&|cJQ{p~j}i3Oj^DodqZEXSFvSnB(g-&>eZl7y{arW1
z?J4!1|4<~wFUH^sktuBz9#k=!&1!AnWVAZj)=%7O0}BJID(hR@H_3gVoZq%Jdkw{t
zu<IBWYH0PFFVR%ZaJ4dWVG?s0v&)y8)`V#k==x8F1@1@0m;ve~&<ce*@&Ri6q?;?Y
zsbB@D$qp0Km%}J~g4LWKUYtUCfO>xd&tFtm?MVUZ1EFCTUMN7#kYbJxmd5$ua*O20
zlo=UEyfx#QeJ*4CBsvy9rP?90;Pf)RpOS#r>_{ja8ClEDgtAF^-D#Ed+wsvH+w;qe
zEe5koKtcst>DlbJU8dhjs1&jWbY4xu=@p4M&Gx`Un|w!yy?^1QWroI43LcytKg2JF
zlJKn9ILaNSO~xVRC`r?gtpPK!-Ji0vd}}d_3do0A=@C?*!`UC;4@`f5f<MB1&rJ)@
zX6}2XdMd8UGbfg&1pXe3kM@<Y+R>b-SI|Dg1!ZxLfQ}HtiU*o43Q5GT)+`~S0-W07
zr$iZPh`THr`PHdQa>c2D_Yi(yGRn^s_{m^`pjKOo7!kt9ewgrn+G@@ZuQpSBlECv9
zEiHYYg@#>tp_zgq#njqMfZAes^lXmq!7`)c$PeSS$btMtnV$c9V0g{B|JkpKQHvhD
zt#fkh=FvHha>tjKK1s#?92x=TVMA4{nci7If}CawHktj7DY4&>67vfTw#rW%pg|qE
zj`I)|9oX9Qal4qBB@8ZKdp-s$71{sFfPdn->^`uHJqb;>r)MVNtiXiy5MzoeK8Yy}
z46z|)jI`2xI@AbR8XD;k7Xv0;;!5+@l;H^%ZUQUClTeS_&{SwCO3)&D5lJGN9<PZ8
zu<RUSbncx?t|C$eIh?3JQ(R66E}}7s`eDt%j|qtgK>Px%h}%e#Iu>Bb%LpvM;&-+H
z`)(K&TY#k}{{n1qG<bfgLARu`TT}BOF^7_0uxZ@o#SSjrgK*HnrH@I7=qU%$ZUR-M
zFCuxy$*?J|UTZO3RqDRyW1<&;^{%W%Uw*SYTMKMlW}3g%hPqSlFazLfvpWVi|8AbF
zPnf5am{F^(=!)B%rA3Pu(c6CE1AuSc;PeZPv5G5e_1`$}R&h<7)5`620=tje4bIsQ
zB#PXty*D;qZU}-vFI?4}eM#2MzK@UA>htafLkI)edTVOtU&<EU(1b1sbU|aD>3Y0}
zCkZrj={8u@I?*+xniYf8UzsCZu_DCC!4<BZp=!eV?c>8eh1PFbPiTqTa)@7aIW*UA
zwLPo(`Pj9Gb+y%;U#yLpIJ|C4du8>-ocL=Pwab#v0h@|EzLkV_6S4?8`LG8Rj9rO5
zD~O%oN@SRV0E4*_S#-E-Qy7vGE0GL9|9ow&L@ss^L63Ng;$kII>Jg=xRA1Ts@Odx`
zZ_65YX1|8kkXi6*7p4c<(iMjxyma-~xN4`}z#ctiLp5d^l(?i_pL*i&Y0q9{ae-PN
z=${~NW-kFhQ=0N}?d%oU4GU(L$yj0P+nX$yO*yWL8@9ujyJs&iU_W`kyLruab_>)~
z8%&C?ZinkRu0wzyB&LEJx62@aDXx+EZ}O0sAXCwLl>0XK5Yw$oywKfbdz<avkBDb%
z7k`1D(WJGO@d0emdpDM3z0l?E*?S2)Ce!MA&&PQ8LOqS~3a@y#*sd%BIO}D1;Ls^8
z1<{Y_s~@an3l_sU;wl~O4%(0CE&mnAFSM>=J5Rv7-{F!Sx^{^hpd!pJqdMV2Qh{XO
z!XAdR|KuGBpUzJX96v7d&wFo!M9+!912(jpy(Szyyt-a7@h8z2Dx#40Q--{sq#`f-
zG1g$`-V}t6tp~+1#}yaW;3_ZhLFK(s+8YTe#e^P70aFC6{(zO_q>sjV@Z#F_%2CkH
zyrH=Yem-YXyd#SF&1)x`U4&gb{K+U_tqAG92G?KuD|4884*|qpouq3P8MV?TBw%l`
zIJ74;L}Hy^9Kug}AIeN%Yi8!+iRLr7&$(5t=7Q2Ewh=su!1EW?-HD`a1W$&BJ*XjX
zLE<I1h>=5!XA#3uZdDSGNQ(E<>Vc-S`!3SQ!`W^Hh(?y-iwY<$k+I3&Qc*wouvH$L
z6e>a}=h6YU=a`%3lFnf0W<bR{hH+}NNvyYGZ{aiYuw}VH2jX&Pb1lxi1*_dh|2)PE
zqQzN+n(#cvHd$+7ZJ-;#d5jz7(9>gL3T@d9*bGMK%$V4tdmiIW!LbCRDsO<Qp(QX8
z0pRB`UQfl%px%x+kMZI1Bf5)$Xr2l1pU3!QxTjD&kM-n=NZ}WKt~TR&rO#u0(`weQ
z$@Pi2;GQPj7&EKK^~h<_LUu9|gE#Gejj-z)Gk!6~Y*N5~_sTD=isq<-r!vCOfFb3G
zmpV>m?7XW9x(R`9z6J1_+m^wvFib?PX&VG(H_U$t5z!|G#~+M{7Q$dgM2oi8JT(kS
ziHIlz(8Q`vQKy0{F3uyO&Y56vXEQbi(V-6`z?hL|GlF7&E&viUP4E*MF0?3|W*w0D
zfdq<KJnzo_6GFzAxG891nK%?m=yBBunrwcZ)3_QLb2z&ynm<JdXW^aGnBijteY)e%
zX}lr@p(0*#BUT#Wrl{wfM)rHyP$t&FS-_wg-gx`xI*;*>(I}7sgAP_<!F?^3@)mgO
ziKXBt-Bz*f1S^(8CK3+<xh~uOnAM!$en9Z}k&KTLc>bcgMo)^R+zSnRP(!g4h8JUq
z+0$TC5FcRfSjGcoM#qtF*<VJdeQ^$hcPxI&Knq0>e^{pX?<L?i`w|q6J(lq!D4U4e
ze(+?*BV~pcgWQ6X8GG(#N`RjaHJ05CDut{7on@2I`WR?95v{?)8Hbk{9mlF;qcnao
z)P*O;=qML^)Iu_S%Ha&VKV@RM*LjAszlV{8D2T-7hcj-YqTxAW9v#lOAe!VJMiU|U
z^N7j8!_9}_@sq&^LG@O6KBH+h7bSyR2t0q$(lU5CH0(hQO&bg^rUoxKqVd8q1LXJ*
zqqfM8e07<gZyFeCbFqMIHVV5KSFulN<e1K*d>rNGaKJ+8qd7DJ9)b;3v5I<D0Tps8
zD%hkrrSZ2BijOa-pgA46pz>0tBMZ}gMkd|(S`ydtQyO2vN(I)xwvr!pn1b!sh$*W0
zB&IYl#E(<PNc;4E7{L&nbcl-qlP>X;#`4|GDZ;O)k&ihEmtv)O66!}V$ac1LC1?@7
zh$Io&(@%&7u<T4?bRL>f_5)A~j1gjheTvJ8#Zbg#5(9*l2VV>oApo%$8mvV5TtwhT
zQZ;`nf*HtxgBs|UuwxPD!l>9m4SKSVMX+_t5q_3njp^k#4!RcdlO7CLEgS;>v<r6n
z%j+$;W&t*FU;@)i`e&(>^9gxc^~F_@7<xM-Ykfw!<yi%Td0rxEX?8y|8mPAkicP=v
zZUz6gT^=;m-k5UJ02=7FpI@-`1=a~!tN)Ml`l!Sj9ZS}UgCYGJn;P_2CZ4v*5vQ-K
zDr{v}VlxDXx}=bWUPQEj-T!874tz<lcb)y+R8sva8PCR`(Se4m{R|3|0$nMzkeG!c
z)isXzaHRThevxhsuBx2263Ywi0UAkeiHj~Tc`*BX1Y|h-yJ$v0l;h^Y1&8uCNR*cg
zOh+1}ccoxbSTyg&N+VpFJRxb#C_Pf$&S2&NJ-n;21>O2H$}am6M}m&_)qLpsTfB88
zxAe<&Je>V&3QEX?xesa-m^#9QLDWT>Fz=$G#TzygZP@Rn3{Oz}yI3in;+ihcTd%Gd
z`){Lx((Triz&X!}EiKktut&M7KrxVC!K(r?61g8PE+@#1cuOL;nwV^h4m}EPu?pP~
zZ?OsmE@|knSeNYqk@8)H&E(2Kh$WcKx(c7@c4vCpF*fU|uqD0xjzW2*^YP`3Rp@*U
zR%+F>QgI}0c7X!3Z0O2n8Rx2M_YW_jj+r4w&r+X}hj$ua-fyXfZyH`N>n?yi)wx}F
zyBi3kDZ<>U<|tsDI+Y25xtS?{n>fBy;>l&@26yc|7plTqvbj6TzdtPt_Y~Tn#(Hw?
z)xs}2i<tY<l6CX-R&##eNY~8+-IsO^Vb$z7f((9TYV8ZUz|p?LoyhpUASFlHMnn$n
z5H<D%X~}OL6QE<0+U<itaxO5Px=HP=k$B)6fn0b{IM1FAtqs((dQ48Kirqh)4&<zy
z$Wa+~Rvxzz64ciq3B8tdTzV$%k5WlwpT{nSv-^2ZVjeabRA(UJhTJyq!UXb2>>8SP
z*!i>1C={wwVz+Lr!)2V!R;9)gw^Pa~xGAbvYqsE`PCzAOrh$WGwMutpGc*Q2hY-27
zX|yTeOi`~c50zCA`}mRF?P<CN-8Geqn$R4jwqdz$hA^2G6yMVBOu>z{lvfNgSxqr(
zMbd3PgQ&RY+l+g@naVxce_{=G$V*YEoO?I~xBu3_M5=e>F)#g<1eR=$|4D&VxC}qT
zN+UuraZ(JP^E#2w?(B|Oc`a;ol6RcZtwUaNb`Q_?JMRgArXBD46pl?g4`OY3F*M}a
zl7yf1KIXV3=>V&_pyCl*k{(as`HSkacZz3~Jpme)ewB$D@~b3Xa;u*?w0KrO9pzSG
zXds$9BtQ4l>VcBC`&JX2!$Twg@DbpS0zXpthbSbG{^3ukXmL0oGVt@9Bo^XJS?6P=
zc$wC$AULLIT0Q(XAb3j(B!u8`s1b=^gg6PoLGlU*Txef0@dqo>l94b<B=#H*_*#Iq
zA6PQN@67$a8K21grl%d_es6%exe2~=eE>fAiRFB70l^#`@l#EkQM6dq^5&U$ZB<sE
zSi!_+cun~xekCnAo4S*}i)cqgD%A_AYG~@b9Vn$MepCI1-SxN1y8SoLW4lqIB7ahD
zKOdSM?t8eb<;fd4N%{P4yfex0&k~i%9{oK~HNm6*T)3x@N6&h4dGz>2=OW9a-wf-t
zj1e8qCVe!q@qMc~lPPt-MYjnGJbLOU`Z&~g39DwuL61I+93W8a1yPIlGI43a5K2{3
z2!nYXs_25Ky~B`{I1a@C^v_0C*yF<vBIwi?#d+96>7(pJ$U*tA$6g-A>0nDoO3R~y
z_|O4MU`y&Jnl0A=2svT*=QKDi2yyUmBkRfb13>s4nK3s8yD5hl>Sk_ufgL9-Os(Hi
zL$ltNAiyzraa^N^7&DZh8D#YzLA}bVXi0oXC37lypaEyk!P%yrOZd1k2tgzP=N#Q*
zgDKVyJi6x+cU3ui6R3cJM)&r0TWT`I$8-*b`2GRa54h~%5Z|#EasyV6@l__;l~$WP
z$1RiSLSlxQ@!AZeLSk8!WiY91bvf5&??JK;XYY!pz6cX85Oa@caR(nA&_cxuhtIDy
z;fg+n(zV-aofd`cwp6-piQixug~WRq5<ixT#Oxld!J=gf#z!Gq_Qe!PMYQa5SZRdM
ztHoO?&eiN{?OLSr+1(xCGsB!NHnD#gJ!}~(x*e<J!e|e{TTd7bKj~9|t$xk(3x&5N
z{lRL^oEUVqjEnF5WZ!QIJbzK$Hc1Mj{Sg}WpoYR|5-+(hS`ICqFq)&>@#R@YifDfh
zjevTzp;B{<FTnPl0ums#_?~f;tH}7zXQ}AG0&K@V#^hB$#~`>oz;-lNidO?wv~F?n
zgiT$QDlC)enxP5lacYy@I!i4N#$|j3Mcw#1K+H2zMoq!IQ=vv=Fb}aaU}7e2o~ow|
zPY`u8R*EMoCDf}z^odceYAZP)<5GwBbaganx`xX3f@+cHV|lkB9d#wNM!I`()!Ms@
zUqY(e?fKkn)$$8b=|Pbr6gMXO@RmKMV$Ibh{P;(qX)ffNBxVoxE+W^$5{i#p3tL-q
zup@F!OcaP*<98Oh{x^K0$Td9$BiF$JQB?i&!7HnA`lx2>;Fb+>iLh}iKTA)6pBZRh
zmY~s-4O(OF=_$@R6V!EkD=fUOZ%sUVrq=2;;hIf$$6Tpo6{p08)dL-yv2_@wwiFsl
zUGd^To4!OAt16qDt+Da;OshB6?u@Z5dZQK4br5KWRI~7Z)NCyDzOHh3ZKl^gd{w12
zGc|UFK-VZ0Tvs{rh$D^=8d9Aih)Rs{GoZ9SOuszp=Lmi*YxVD#Z{hd=EoRw4i$6n}
zjQ^7ea|PY2jZm5lh3xDP*bE&Oxmg^3>JJA8%%W1kGSa-E_{`8_LktmKrEx)OUKhAk
zU14i1H4R!CC>&Qc_eAcnoE()P%7UT%CqUI)kk!9Oa!t6WQ237Z1g1qUCkKAfRlpoq
zR8F;;^J^5tPD#wkk(~rrylQv%$#fgfAdH%wMv%aVn1t1oT5#aO%jLqv0T|L&Q@UYD
zO01?Z0R2{oSRUcGXYNNtFvaia67wAw<CAt$S333gcC;g+@6K<ge(Q&Ea~5<}v%?)H
z!b@=IUdBdc#@hYDdTY3+kg&3zTs(<i{KC4A(|ll9bofq=^_BNn?VEz6BPL#Y^Xn@<
z;k}bE>>4+IF~)6D!N211Z&pQfK*9BwFf`!X<ySnGfaPX+dtVO%P!glqjj>`?4x_oL
z$B)PV2@Ye>cyxL7JMC?<fJw=6h-CdFVA49y;9n2jCkSl}z8u^I;%#x)A;E6SAthB_
zEu8q*LXQms8-WvZ0t!y+VHKJ%t)CMHI<!fm5C&sfU&eeqF_(#-=Ja)07@87OI|I_h
ztj;$PQ~Um2uhcbx?{1V9!?oU;quw4Kb!gI_fvPz*=byA+8ty4HX|tYOlNWw5CNIOF
zp*e#Vl^hbEpHJRsH8uz}NFYRM!CMHOW}iVh3}Yoh4nG<kchI~pgu#%*r5H{TY{`C@
z-1zTdNJ_{c129nri;MHkN-notRnEQ-L4|?rUV!+)o!M?+CqU?yve~h41uc#LkOx4(
zY6@KNJ5@HDoqjtDCA6a?8l#s5Vk4Kad8!HmyPS8c=2rCz?EZ%>dMmrHe`0dpIs;P1
zWh!;u|6xxoWK%NvuF0v7Sdg1?D^rLSWUu=@v=UmD@+A@5<#FJmFYna1^tMmeXGP%I
zwZekCB4%%Z>~%jwfFC3#g6wrAae(Z1H(YeFz(SKGC&+8GYUD|07vRN11uuq}-sZR`
z0*yGwB?Ji%#adc$yc}Oupp`OwwPvn-6&xw&p6mb|BRc~qiK6fB6FKN?iYU$MUb7$3
zTmCs0P$0S5F?67wgRUXgN#ub+F*Owxld2#)8;3HSJrn<Usixa}hy%PTW+6(D6Qxho
zveL0dCfE)D2Q(#i)m1z(MHOl<VW@pxDr&RmVhy$>OF`_|l2yD3L(56WC0TnTA*JB{
zR0^14%|63QBYf?_vmYz{*7bRi%<g5;*pO@D+WZ7EB2GKL7#bp_oxe#JKj|{3YzH6+
z%=C%dwBBenXDVJxgvB<kTM0aWQ9Y8Ev`y>ppkWVcXq%SAOKzK14lSN-T8?sQN$Dj2
zrzf+s`z})K!`TZ95RELuFP*-QiiR(pZaE^|mFja^&2|fyg;(L~?<!g)rY$m?=%g^z
zfuo?Xs*LB)@tinYS*~nr_8OIKjpld*QbZ1o*CxkjCh-`$(ttFtSm%bF0d=lroZlqA
zN#8sGqtv<I&x0N|5)$?$LKm3oc?rW$dLLm4+nLZOrcnON1p2?M2K_)IJ^5D19}$55
zqPmP_?}NfFGnnjTGmB03Gbrmp4#^n9jG;z?Ne-6mW1`CsvNk%7ek(p<bjl8EaMo}v
zEbLvT-@Twx&_Y}R-o-?F3a(w4O~UFv&~PGF!|4s4Qf7EjXvGMSKx;l4^z<_Q9>1f|
zdg7qbdO?}t#h{f1{yAP<s}1!sJ#XGoh}~KOv9Rxuk1w|a@!B$ji$N<1zTnpUYQ-zd
z^!xH1h18qNAXV-k&e=3?D>FETR6~;n6Mo!Pz7vd0+uJs=dt>tS*kO)xqjRt{<b>Ow
zODo{g+He)yXrC{bs1t3pCmV|yu<N|lBQp$MZ?1Q6Kf2tl=d!P?RSzyX)?0}!vZ)@7
z<^azGCv2*3K|>y|1wR>V5uW+OQ`B#)#-c2aUlMTsqNVMr-$KJ4#E?BDv67RO98x^8
z;wZPbiyb6c`_9k6-F8dG-2IILwB@)v*rdoQ@q!4M;fG8xSP;2Yduv3i{FYA<ArV`(
zODE|bFQ2445LLBPcAr0hy~tLgZF6gKmP5#8Vm~MgD^weG@uGim0CKCBM?anS1^b$s
z#xL>u{^Rpxt%a5A63z=~*PHHPGNZ88?AKCHkoq5&LwD~aenaDp#@2p;wwpkoD70mp
zv6=iOC68`8@9n{{gqM|}YREIRb}d{%#mx<gJ0hL;tICh)6%0gkUz>lU!rz5^3T;$i
zJ-Ie2;1_+~H@5<pPUrmrt69I08`FAtOEBfCH1;fDa8}zAESI7&o%eeQyRI?g7h}vO
z1^heW{@to*jw-mDDGUuL3CrFBxUD<GNEduN2!S3A4&XKFE`?&$nubJBcEkLauqEUV
z!SM&TgcQPHZV8dsQ+p_}`{PX}vUs7ymJkM@iB+AVP6bz7oNozn&IHD_y?SCLa!c|o
zsTVOPsZ~LA=)(vwrWpt|k}XAxeH8$SnI`x>A1<^goMvYMzYS!k4BOyvXaC9ZrkS|=
zV__LQw5Q=&Tuec)1@``|g=<*h<`KBkw$t1^11l3-I_;@S)@`@wj$K&vsCBmEl1IDJ
ztxs-|cV{HmldPI;L^d7Ho*m7t;6Bm1_`*x>eGVTZXxAN|+<Qw3Ld7!kI93|rhUvhT
zng3kLy<ZrO0vU`r3#+ibPw1vU%nqGg3vWG98vLYNF1FQRL=}0`4<2E1B_4U5)totp
z=}H^H<Lh3pA@KY~b^V^Sw)}c%*n=91(=fakLkzBay}QilIP$Hj&*(HRx%a(gdcP+D
zx7i&~ICf3(<4`scx8c>Vua+5J3~~#Sd;h3RzdwLVA)7#F*%Y+Cc4*P!MfhL#lXUzB
zgZ_*5GX>o*Zkl9r^g4q6_{Gp0o<OFf+z!q1ZTF`vFZWKm;q2-HQX)F|hKp@fG`!(r
z9%cDn9ZhnNAdC59B{bxjKk$>m2SGhonC1IqtGOsHJ&C~c7cDD{*{RU52Q@T*Fua(m
zydcZ>#bpM_@gGKQk$ZW0nVuU1Lv1cZkWEEl7sD;~ierxHJj%yWZVm~$rOn@;LnGiS
z*iaR#sKW}VkW*2?CdG<OFGBJ06&bXvBUfZDV>)tBS-#(!#I^j|uXkak0yjY0D;<@L
zo1LhLDXRD+rZh0beJNw4OTO-nU<gh+#KnL~mw3t7cT<KZJh^XSrFatRVWi|p)32ie
zEIX4Jfv3=n@-R`$Kb3)`69fFbxSY7M4>6g<0Ac09S5rkSK&++)E79drB7!5S>bUrd
z9FV}pSNNUXE>+zhp6KE$da`eqVvCz|&GP*`mCHFk%Xc6gC(^TG&hK*uvA(O|o5R}f
zVF8GZOxK_SOXdS#57g4FL_dRzrN#{O;yPKY|G@=xLzICt>!Kw+6*v#0=&$6|K}$2|
z$?>Nz(<<C$=VCJihq~8G%UZZ^f0;8o`16Ck>!BPs%~ZciH)O{_qXUh8$1*P}&Ive;
zv~U@T!r-HvDB&=8bS7}lg3;wAe`Z%BAj8>J(M-Z-t_4qk8A*V0G4RNAQm;tCtFW1F
z#7ZMv?mW?N&Fn3c&YM}mf0jJrx22$jjHJJX8lfN^x=q|lM$|<bNiU_M#YgHAt>k-B
zh9@Zg5v&wXaZT%6u>@R_rp*vi!f6KjVl+^?Wt<YDxATa1ut&LoK~a|b;Z*?{iQJzl
zE+@#1cuOL;n!+4mL~$9c&<*i6u~6rdh7OzfI{<4qk2scKR`JdU2&<T$c8pbgJ|rVe
z$zc{SFZsbTFo(|=ggHzpSC^gBo2}t&vl`~7ls%5e1^~rut^>+Aejw1uZwrSn$2>sR
z{Y%DixOxL_-Qa0X)vX((w~mo`a#_y7jYUU7)r7l#P6_uE+Cs;A!uV#z0w2HVEMjh<
zOV;AgvzqgJU%D1A$WNBGb?!NYRkPy=GWgZ5wRLH=qkV^qA~KFEIm%Wca%dB)v2{ty
zwdt5D9XW|!GzcW;g5<7@<Dq?Y*G1xi?^SZ)LE${x2U;7bw{}p0iWM7_I915yc|1pK
z*yVAj80Y?t`=c~<vVX)bhO@Wvp2YlZva8Nc!kJkh`N!X^P^fMQna|0+Io;+nh>CkY
z#JJ}Jsoay@g*Djq9g0Hb+)6#!xQHuhDaj?UG&_De1ybQ^d=e{-2*JcDa-QZN|914~
zWFY?Uv5Is$#H#l<;H_uX8$an2^c;6h{nBbKsCdM#ssADH{6+P-JjEl+ehm$KP(%Kh
z#7k~nHis6^x~!vIS{`x9&*}Nc?Y`A?=kV;vul#BOqO~vr3Q442`7czoIE)Y(Fj_Ng
za-^Rx5L~`a`V_1bFVmV$lsikH@{gaC0tq4b=}@D<!55A@LY#!)AbEx3F0`+h_=A;b
zF-sUF5_=BEeHVZ=lz$w*Gq=5oPqdgtPdmnKzepsO9=Pv*_8@$B0o@!Hvd#}#m!kbg
zD^vN4fTsEsVG3l}&A(38{Y$2DNI7KObeot)@fL~7<Ve74p=v@T;O*g_LXiO0lPeN{
zUvw@qaiL{obU3MwOywW5nlqVF_i%LUp&$~F&r}}rP(MOgH9HPQ0>a1v0>x%3|3+}|
z!INHvFqkL3iZYe|Gz>|JlU@u!|GZ^|OJ3z5f=+!=oS*bk`Y5{@LC=Rv=9Z~^*C&`<
zZgPhXSOQz-GnI$fayfvI6L$a2{09ah4xZa&J=q=u2*2aPt5v~n${{9yGk-E({I~O;
z6a+X1FOG01V$4v2v8QXFZB;b+Y7WqVTj)@@j;P>x5Q0bo&N(W`Sgu$*@Tj0m+*Rdl
zJE(wxMg<RzvD;*5kZB+a4ZeWu(Qs(6Y~pbqM=4uf`l#6r$OOaLOQU%~gclc5-trgo
z(E%+~j4_y#oZ~lGMj`R_42iExMPl|^tihse3dTnv%Jz;FNQFoKcC0kQXW8N{9P==5
z`MuG@mNBLmVU=9??QVGM3BTbdeL}F6v3Vjxvyvff;joIoY&B<26S|Vd*a<(h_(cNG
zUsShLlEQBfK*Ju?Q20&aB^Q3np~Vw^bCjDy%5f>8bIe<AL#1XMUtsRT1tib{b0}Al
zaih0T(SZf#_8c*J)z2|nU~V_86t4ynQi`(;T=5kYb>r*6TvtgMH3b1jphjd65V130
zVkU0ZIx%H<LbsoQmEwt7GH?0DXwY;GmHimFKJw_VowwXn-=w3?B?@6c!_HfdUqY(e
z?FTijT7DraJt%UELV8z?$v%!|kEvL5olW@hk3!R2$TdmK9_(F2yoDtcAMqBpw&Y+(
z#G9BXaC`&5vxxVbU{oyPO;5pycW^)yjTec505+N3*sN7$H#_f4DSc**%gtEc^7p|-
zf(*2GO3>)Z25kU&%hx@tJyD-Sn)0J!<L#;+GpZh+mHc?sMAe&id8&5R*yUqWFsQD`
zCVouGRN|im<m>9eFCzM(gZpHy{;l)vpol`?pD%OxS0sL1LGW<qaE06K%h-&4phX`a
zGcJa-SJHf-jR)T=fFpG8pbHK&FZk*t2IV*D9<Qeb-eK9je-|8hF#P>%sG18*`mgj`
zeqcy|f*~)~lWP?Mzvxmq$5n`tAdI@dWz6Q`tNik-5WaM_`$PA(r5Qm2A7T<#AVz}&
z53WFji32dCtw5X|hNQ#_1Ow2Vb#+pTB?X?{`(eh`hWI_sHIZ;RHP-;Og5t*0UG;aS
z+Np;J8_N7yBVMtR)B2^a8}2Ez2FQAHF&TdGOJ8E<&l{}9{1a@v?8RsPd<mh`>@z5O
zVXP#G-rIuX4vJnO42I|}K1OgPJehp>;V=v(gpPrhD0Ice`LdsD%2k!KkAVmeWE}u(
zgFCYyph94WG`XQcA^v;$)DsTzUpnZVpUQ-ZPx1LJi@Yi-Ip`FhKf<1vu~jm?rOB8-
zu^=}EG&aTO51|!%Ue#v+Uy9FPLA}HjpI=9SA0(ccdy3Eb?J|%QAZt-9+>_BWz<PU&
zjGh`xGYzFu#_n;D<R`!Jz84nqW`2xilHH({GE8y+)SDBN=mSGN1Ib;pWjG|3o>OAj
zm7dc^uTp~U(6rI=H;`8WZ^pvdp?Z4GDe#;t^=_{@RqMeOrMV=XafPKwXUE~NhO=Yw
zkC$M&WFkH=Rp$bb1Sd8R_hja@5G${HjV`ZndIrPkX{k8PPQ@B*`BA~{Sbi*CaL_Vx
za^<hRk&u$3{k#+~MSS`~tTZAfUyxGA4*vz2qq7%{4H^H{CK!yx@_SULp&`$bB!1F`
zO-=ql5SXeHmn3hnnloo)OLoPQ<lhi@{-U}?pR^?Ta%k9t8VdJIyyTW7b7=7_Njl0s
zYB@UXzKgW`a5hzdXk;0FWn@N0!&gS0rn#;v`xE8etX)-6X@5|ibs_U+rBm<CbXt(R
zb4#T*Jw4eRuWg>Jb4U3XdO*u?in-D--kECSJ^)r{Vm~W+xIqZYKhdbcna!u##7}x3
zVL?&eE$olWXD<Az)tDb(Bne-+|1tsRFRF`4b{iCqTo=o}4rM)vAu*9y$%#o0DIPI#
zlsh7sPbAIz>2<-Zuwf_`m%9rPo)ec~lj8cqtr4yA+dXh*i(Et77||-f0!>WkVhycy
zLaFo396l-MGn7$p=Z{*SzDQ&xax&M9vfOY3>7q6$xU5DW{p?W3R7{2A7kqt5=}1{?
zVI@m|RoS^_hdNab-Mv~ATBT8F%TB>&Xs7tm`jqtOW{0{sIF?}O@j|E?@>H#W_W4wN
z$7hG?lpj%xfoSfY_6M`C5BC%bX0x7L!EF4ZPygmpQt9kaud|x<3%N17hnJM{S6rZ5
zpl62?K}*aI^=iVdYs~n?7_&(Me|D&MS{2Pv1sC(e(14PN+rNHq5CYu~3E(wq|9UZM
zO{*X%yJ7xIST^`(aQwk#gF+aLWrNV!T5{=s9)_gE;sFED#HvnFr-Cak&KD1yGl6l%
z%AD@(-Th!wrcBY$hY?`R*z8at-dq8I#7q<XY=sLg3a8mBpz=W0R9I~M&i?*hOH3T7
zSXlNAg~QiySpYRQzmh>c6}fUaJ1Uwv!S$iY>%vP0wU&<&l<AI726aXXLPb3DRID_@
z?NHBIiu8EqpDP*E=4cei5X361!dA)9#pXfG=fhi15EDP?hKg+@SV2s(k9btcb$jGC
zt2w`p)}k{#0?%JmSLaDV%<a&y2Q?I(VR$iy7)%CrbD7a`<Xgs<(P>;Vs5h1A{f!B@
z&H7L{HuCikP&N^_;bc%BE;GCs<Q61@`gECoKM9pWCV<YeNof6SI$DD{pdKtUI*wIG
z8W#Lws0&Zj(ot@Q=76&MQ}&g6xpp|aq=152gz~vmG#t>MM>(MOc%n%ozhd>sub4K5
zpdrt+fu9UM2&%Wj98iZ?&G|vrri}`L=Pz1X2A>2Cdr(8u2E&V~!3%Ogols_g9RFd|
z7Uh6CyG+j;28P;PARs#@3cDCou@Bwkn9ieo9OdSazDcc}%%KtR5NxQ5Rn+nVD&$mD
zut~9q@|+08#}`r1oQ_;XS<iIjpmIRHI*Duf-DWpor2^|;JE<O(s)=p6iz%x3B&IYl
z#G6ybNCzh06u}Ujbcl-qlP>YV<i}HnCmgtc!b<TZoKrmMfoK5B&Lr*}P^OPYGs>5U
zTK=gFB%K)G^Tp-FwRwoiBnAj8kH1<Bgc;662tX`=1}o7)JrTH(RCOF8B)=nYh!DTC
zlX@!-fhW2)kDlz4dThmVt~sF2R5_O7b3mz}o1XG%U5O=G)%zTlWA{<;7|Dr1pOsAL
z^h7|tZu0rLRbNy+P}b_db^e~yGf-q7chl*?rUQTerX%HW(-%?|s<I=n8G<7zf7409
z-t`E%n?$N#CD+;h(C9$p(;n7D9f#?f77UwETzZ(JJRFyf&bGuuYtiMU(UDz(fDC8P
zi)H~frz|vlUnuciE(RTWw{9y1jly`j94n1*A@W3@HT!dcC1d)l6qJy)at+i71<BBV
z;pQr$F49_QP|@PO(~0Kl8&ifSD1Iweil=yT8jtry1Erg&DKT<88Pi7WQ7#~mar!QJ
zRX|1}_Z`LM1i2A!N#s`Zkt3cbZnzM-A>KF@+FR1lVVwRmz#2}*ge91H`a^so^OT-;
zjCr~~F&UGx1Xb>(V@uej`BY0O`vae(z!+d=r9T0}{YGi{%H==Ex_`;66w0i$@1Y?a
z2RG$B7OKK(vAOxlzy0jca8IG_XRIgJRxJFYvxvF<ELkOwTFv?0AYCOF+^3wj?d({>
zs@ZV_8T>lb+V-=DqkV_-ATlc{Im&iN<j@9CW806m)5!{E1HsrwX~@#fr}04`ITw0%
zWmXF9^BIf81K;Q4!h^zj_8U+)1NEc!Fg2>!+{1}L-pOydiVJ%u?p#US6>)!*<jQV9
zQo&89(G(MY#{x;D^kP0RK%u(ibUtS(;&hwOAS&*8J>#C&rE*X9TCBmZc$E|?=Mp9*
zQhG-Uq{2;jJ60MIf{8QYJWZr@Z}jNo`sj<WigXyn((&E!*0XespY-{7jysONY&B<2
zi~6*M?xwiOmB8~C)u-+hZz_8L8up-ud?|^S+~Q^qEuO_qN4ZBWk&@lFn%x{;8To`C
zE<m&v0ze^&^a<ZWMT<iKk-?rlpJZ~RpDz$xzSy`MR*IKt%>>GsJSve=B?S^f@Cei>
zaL$F(jSwdxI7nXMbc^{h-su)biNv16>HaZLIFv{UzcZKnnJ_Bma?{g}ak)>Isf1RR
zS`nJ6_Zsa9$a#E13BOzPJ%`nx^_r<DntQaeB8>-mI_#p4$+~~ZiZsWpNLNc#x>lxw
z?&FnEHNlI2S-7W=7teZfdGYu~w;C)jo~{BU%h%yxI_`hJ&1%lC@^w?7z>Ck{M;P)h
zZzZgn9Y>JCha4bKY*wVZgM$yAa0(L$U@%WO6=g-bKMYBU6HW|3|IB5DIyw#_=r*G$
z&QCZgeUx2+pyxv!bIXeK(;z-{z!KOppA{*@mOmnlSRp%qR-``#Ar78bWIfsDKk&CB
zE7I<Vnc{DXO*zEmvmzzq#h(?a5(GE~FOIB8h%rM6nt@gSsnVl%6g1%DITWrVE7GY!
z2qFnM=ZGF-xnk|WBYG}zSCzAifgA&k=<V$=(_~nWDI5yxUCQ|&9M&tF#fS%x%2rpw
zoeXI{oHe3JFG7P0DG5@YkIsk>1``}{{07S?ByML&+?I;O>`JV`B4i52M<GJ?@)Ssg
zH~liKG{Ps<;;j?&FbUF|qK7TxL*rN_7dm?by!C|6@RP3pZQW}gNhnN$^Z~0m|D>vg
z&fZ7h`HSj?NmA(SL(s4XH559Nc*%v%a%k~{&K%|DK@ubzDmB6Qf@-%EkU$Hnp<G4A
zd|pCD2NqQOA81bJRX@jQLA9S@rFb=vke`Tc+>Eav6>vYk4$O6n4^J311@Imrw1=_7
zH%TFO229MvO;QJ?3{U9xCt#&`qLxg8^wen3bPbh#25=gA<ke1sWU6n{QAYp}q`PxT
zknoEx4z}ucyFJgeYWdlu^q|ZnNWn4L=dtWD6>F~5gdhJXG|h!vlf>-7-bJ)pSVHm9
zYGG?j4t7MViHQQ|7w|iaR=*HN#iG^p6pU5}2SjHp#7*e{n@rSV)~d4G4E;%vZiCD3
z7-+AQpwW{J+5nOuoq<=jZ)kO=>*Kw4hh;<RR;rYssnTrGHDR#XeoJ$*-oYLD^w5=0
zW9@0YE4d3{^ry#$(Oo^7arF4aNUL3q`BEg6OosG!AcC$Y{Gy`o;D58M)ql%;J7nQP
z+Mh2i(g!7`Tv70FS|o+#>;u@0bx!1Q?vXOX!~Ibj8MNu?69uq^F5z>*W~NFCCOR_j
zunQKgnvwS*m4Qhl!O&lsBm72igu&qV15h<#4dO@Po<eI7tS48P9lz+pX<|Ziw;Ulc
z#~Q>VR&#z?HzxP+1$Oy02wzU5-xEg7P9sR*LrlW@!*JEaqXokwOE9eVB#5mZ4*yne
z!U$OQFuVl&I!v78^@r7ANJ^|fFaXU-SRad6P~bU{zT_Z+t2keOaEZC<E4vL^8%RJB
z^wFK!ClNMwD2ppR3O>FGUZWI*gO9I3Z3wvmMJkHu3A^2%tk+u1IJoT6$|a-i&DrQ>
z(bXLm#s%^DT+X-nL0Rd8&gZfTdt!6LK=QeaS&*AD6`QK#5@;o~o5YvTr3v*CQ+1q!
z06$1fHurok3&rXo0YWAtC()DHCBTHI4ni92R4{*ylwhnFeO%dP>s(;vzIq9^>rF-?
zS#sI*_SGQcW`<VOJ0Ayq|3bo*$;`Tb^fBa3P)}pXCD?(>&EHn*v}SK;d^a=MagKOE
z=rP&M3lIY=*^DH*E7^=qai!ATAwZ+$b2*xUrPK!H{q<xsNUU6jnLr6?v}NzawuiGj
zco)KJ_R|ALj%j5Ult4N$xJpYfqa(1grQNC2CMPR+3IBL|a%QU4m04!eDk(hQ!|?pk
zR6J)N!5VClM~%X<$Wt8F)e_5aWuU#0kdmYFxfC!(6!5cHX+#(jXv+upK(AMRMWu>H
z?aIpP)fIdI>wq&e=EbPDFcHSuiDno7YD8f)sb)rU4Ba*1qtsuS!~9<KFy*p^rbR#!
z#AfL4KtrVP^QkfLlddC`!2y^Cot(I$^INOAprDG)(7z_|{6%%|BWXqF_t3BhH54tC
zc*(8k<j~?-(Q%ZE%OS%Aca55{`f2q*DcXG(Ded9xn+1qQmf@j(l$OZo=cgiC<+ry8
z6(RI^>GTyBfpp@v7-LNQCQ|ZOxJ(CiF!k)YSo&)$u*^tbmK%N`oyF5!VA}0h5eK7{
zZm$E{=|s{_EG3VYk73UoOw82Ey*HK5Su0J&V2WpW*X$XxZvU=@5Dv7_%EE(Y_-chj
zHDTBcSXm#f5Y<wwDuPq&hl%UW5?`*MU@#`~e5jfbmYNRt6behRo?Ouv{G!hxW>|{W
zcWAE5N2MGa?f%AU%;Y=6^j^`aZ<%OM)tar@@W$BuMmwA*^`r_S)PPA9UPLH0`;DN1
zU;SDkmx~?k>*Er|dB{ZxQ}#T>O@7N~a^UaXI{?QFi2jP{?W0rei5bWZMlOvH$#+B|
zfp3I!AweNLI~iIVNZg5q1Mch}8l!#X&NxOF@~uzhs0|0F)}PX-k6(`FW4B(Xlxp(M
zu1d4ZZOVxX82YVtuTpDG@bqh4VSq}5e*i5>U6g$VfgjHPgO5SX(xxcrtSY>%g{tL=
zWM7aZbNDUQV#g)v_~wsNa4TGwA7G^sF8;-v(~iOUrc&M5>oi+i$!)m+Tt&8ci99z>
z%m<15nmvu%nBic$D}^)HAESpO?eNcG6&82XT$JCzTaSx^pY-V^?4m4V!xq!6_$is3
z9LUE$*=#b%;lfSX6DkE`liGZg<fc3h8up-v+!TqMoSTwEjmJ%KlshzvCnVbXapggK
z*nKHA?T#f4XTKrZhiSmw5|o5Ux8xxzS}eYiXEdLc#4`Mh<}<NUyx<;oQ3KBD)jLA*
zV}u7~x!&n*w<Q$}vDo5@h_N+*jL%OQFKr~d1ZsrjL-Q^XF9RlH;zqJ-Qidn=@OG>e
zPtN5hvuF|1MS1I2ewPFy<@Bm((DcAab~sdXMVNcrry)=49aOeg>ujy}X8W?|klJ|#
zG+01SqWg`-<wR5g5tu~xpz;uVs>B2??3G|8+P5UEG)YXyo+`p;U{4i(XB(G3flqYl
z7CqS;mzdi>*E?Y^EuXN{Wy{*BJI|U^*u#Wv4pEPdE?EEU={&y$1lBDO|5T-Kiu$^&
zwXo7%fh=g@qdjcevgnch+Eigbl|y$0G{V6ng|_U!uo?1q|BUH8cX~>Q_`$%yBLII$
zg9=Zd@5T5%6*nVG2aLB{Tbf%(D|ka!<(dkfY^$uJKiptHX{SYtR=#ldTDVqu=l(KQ
zTw1^Ur%9ay%8zJYsG1ONs)l<Cg_~GUu5c56(WTK0H<eE3d7{;<U&xJVH@q7vf3I37
z@-#}=b&VOn7-Nn-c=;TwqB*MIG0-qHpd|7Zjq574tw9L%XhHz5Q3o%JQEOTTLD>!S
zAIL!LVfPmY#~(cGUI>GE*u5wd%j?3Bl-O*>05q|xQ`D*8ii`8er*kGS?)95f`h^b!
z(V-6`z?ha{tpgMt3w<vD5;INkSf~pv3a8nZVHO!^EcB2Fn@og47nY?%;lBsa$SB-S
zxc0nS2R5<PdJt6GJkzUJwshK4m8{!_Qv)zF!?A!`2YmDvg>)yk$oOn>Jvmip-$ec#
z&b|@NrXm`<@Dh7|m5&kB>W)wB`QIrB6|VnJvC;^)NIfCgg_GEGXq9PBm{x(V`ecCM
z%ZPwn*mfB-<O$p2C*5SR%>`>`30X>fON=YA=RsC;evmQF#IM<V0)gi*sw?)SknO?H
zum?31vSoNNh8Rrjd0d&%apYTOn9*rmV$U<n^nO|bZnLLC;mF`r_Dm?7h}&>t&&$dT
zF9x{<i9N3<({BqZg^U56Ws}g_O-E}mvF8nCM#r)0$gPK840YjI%5aq1p@}{1{*<NV
zTh3TgKta?`k1T`H4rhy~=z>Y?`9X_De#PpMU$G(aeKc-xbn_b$@sq&^LG@Oc*z>bi
zbAFJuY2#A_p1){m8N44F_MnEQ4Tcv}gBK+B{9c&>a{Px;TjWmus!Y!h4-B=rkU;jE
zDC}Z*#Xd-$V>*xWag>`wPEKj+_vg?EXb~H#Vioo70xINGRIo{r*z=EIB8H|eY?ZI$
zqB$M85cFdzI<R%z(bcAY@k=>^%hz$AhLsAef9>!?RQ^pCM~^A0_#~z@FvM9YW27~_
zGoeN#=@1tKCSBs%Z8K$ff`nVJQalOuK#phgqFzLjh*of~iw3alOyW-LY5Hh1qg+kY
z3Nkq{z_#LYLUs|8NemEH9(-%K2m!<|;)=kHq^e^Pm;8>vA})Ssi@5KFQL#l_dfG9I
zxaafT9L+jhJ296PSGg?&?xHwjE)5xpCzqYmo2`M`Ypez(lCoL-AZLhB4VEocHB>H1
z+AvMqTEtS7_Qn*Z&j4X`gV4{*`r_*+Wv%|Z7sM8H9a+}J4tlmv9wE_Rndthu9C-TD
zt3q1#HEf39P(;&G746$!#+D@20T$AH|6j0oJ+R~^mg-k2jqKyl=s+Xdh3twlfT=(i
zAnQ;}`(HR2AT;+bu{I3!0h6PunJLjpJ~`7xmzNxwEm;F>1h<mmAMZ(Aoh=aacz$!C
zV*U|{`Err$$lZwhrXW<9Kzn1Q5iVk$7`Db93oJe8;VCE~o99rd5oz=y>LP8Py{Krh
zzmjP5o|ZB^LGhEZQar^q1#g80z-e{`<u8r~N;h;<BJFm1&_AGj$z=#KaW5o<`^^HT
zQiijQ#pQ&Fi+D>Sx0<aSQ9-d!QRs$v6IbYQNkfN;+W=U@=|QmszhVuaXs6;U@oC2x
zxo0J&2X)zw>OAH%=49RGQ--FPwQF6V4KR7=+kpuFX)(M_?#;69Uy_H0l8642#FNV&
z4sHSZC{#_@?Dp^Bo<f`5SWm8vU-(655p%O!vci7IYR<1Ub%h;1UCDrm-tF>j!m8PE
z1R4Aq*4kwBK}Y+#g(-@Q8?7WpvJc>+<9MYCgga(M`X~)va)NeUYtqads}4&5$+_^h
zD|u*W$J=s%B4phNJn&sbN}nh^D4b`v0d5BBgYD<jtzs(?2ZQ{XH*q3`{TX+rQ0~0A
zKT5)7M<UUNv$fH*6Q0TfNh7+74-8PKZt0oNIXXGr<}-+jd!E6#=fqU*$<|>Fc7Kkd
zP&wBz=^X0$DUb?x;#{l*SLl$QEOsDI<oD%5s1vrx(Lq#vfJ=*7Jvg)vhg0dg98qd}
zd#19j*6Oii(LLw=Im>xr5jB**B`HV)Z;c+ET#bD)R*{Z{Sg0O{x1Rk?_(`9c=eWP=
z8ml?~qydUY>~Gpm;Q5Q{^Gk}?_1Z;?7B9m8vg@D+501$Bk_gJJspjzGSyOeCd(`rY
z+I_1D&*8>V%;2&Dj3aUQ8YfCiq!W2I6)lb#L`H``1kLHJ>1PlGm#=Z&g_YukJ1(E-
zr&1sx1ph0cA`CG{FhZP!;2?R0moC(Byq7Ml6Nx>Cm;Ne%HIz>jzcU~G7x+XzIz8<e
zAN@R;gfk(ZsLNtgj{0eHa?}Mpb2vMAmJ7Z$qTxp?+vu)Ggk&%5(=V5G|B`KVj@d?^
zC{da0_8$mU6WsnI!aarDe%6!A?Z+>=2DjXPx@4OSWQRveA5DAcbgMbPdetq40=J*~
ziFW%>Cajtr2i^WKauN<;jRyxGJb+aQgLwd}DBI{v7?KhPuo!^;c}+O^{DkQN4kGCB
z2vMBJMwC9v_D9h3v5~oD8=Vc}LkBE@E%Vt%Ls62O2_w<jM&BNUICz|r^<;YqApDL?
z&^{3CrW|6@E<tnR#h-2TQ$c`Z@Z!ieiZB>TF!s>vH>`@5)(NR(P9+aC;0ihvt|J8a
z(;x(q1e|jSkPW6-JMa*oOWalEY$q7gKtq5dL4!@k0h#KdIN(x_)^HrKY~oNJaVlF~
zPPy4*j|9dY&i2ATNxL2vQr^+s`RI&*VlbyD$8WHVLgK*;i3g=3F*^`zu#lR9@lgn=
z9i0NH@Vbw{N+W!FEe@&8!@Q$sMh{!Yk#@x@xmeq&@YWM+!%w;-*;?2<F`?au3ELJN
z=I|z~Idgu{wX+s$yO_Z97u8LalvrCf1`T^qLm@Vamt2S~hZawW%~5V1<Q=u4Qd5mD
z__n@)1X}P7<tj2Zw3><zEco_%Xin!<KgVdnx7T8&cr}oa5|kY?h_4_Oa9ZBc+fznO
zfxfp9+QZo4fj-2}fQgy7`|96Ph9`9UC$LgHQA_3>{bn?1x`xU+P%ZLAuAO((RNthd
zz6Pz4?#|^M#V@)z*s9y@0R6(M<!6)9gCc(@q<7Vr?Bingn2I&mR|r4;QD~YAxh9F(
zgT0HWwy=caquRpOmK^MeY7-L$j#uD!7S&#Pl!$86Q!uI>91z{#CsKd`Y%&v~S*x1u
z4)=fd{dq_6GXw2d2^u}wpba4J=qcySOw~Kh@!I6MEQ4sNoTJCZ2H5T1%$Rz7zR}0p
z4OL4f6+IU)tm^>39Pj{CBLny8ELp4nrulY+!^X^?FQMr3C6-))?r=g;h2d-yHe;PT
z*(*OvW=-TjNUMRC-zN)T3MCSC!K6exI~|%HNDu-5y)$b;YoL1ZtOv&cg&EG|@Q1?;
zH)HssOol;6ioo<lgEnmvk_^7sB9EGq`==$ROLPr}?asJQoIJ^H!VVeh%q?-U$!4#z
z#$l=zncr;}$nQoep4}PVUIDFy_R0A&y!|cI(=xpAnZ{*O$sBLjBft+5*Fnm`xuF8t
z7E-(|2-QeJg<MA_q9^NMfGeMomUS>M8a6|I013eu^7yi|s-11{L)fM_+9$a&m~HU=
zgd>xW^>Bob7e5a5G+r#uHfVC<9B{zdFncGCo@E-8gmz^bw5hCAyW8m>(OZ5YM=`LG
z+QWDhW*TJooX%jv1CeNu^5h9tXjL}$YQ1jdS<S1OEqOUxnW|C+W#2()hO=*RpoC@Z
zryk-8&$cZDYlcMDiSHw|yoAD>#gv42S-n8_q!ZmGYAS61oMHQ?so2i`3u~}&uo{me
z99$d#(((~<<)OWikdg(o=;)9#&_x=ULc|OHh>%J{1eB#CLt*+IbMqjP;czrIq(81H
zD8$giaLF;q+T)=innUvU2H_`N{VJmd2m-1;F+_ZX)m%`j#dgfq1fIXB9;-+S5g!E&
zdr(8+7m1f#h&YE9Pl(u2E-fLU<p1<UhIZdYbHZ@;xB^5Y%kV3<9z#XLS8Say)ofL&
zC+nHN<Fb81Ju)q<ET2ondkk*jvqTOlhbDlev#OtAJTw>LP^Ym$CwXzePkJ9=aoF7$
zyVzW9y)_4Moz;PV5J(JuAL9!MV1H3vK(f=Iu*;lwB(%t`hq4}Ik$^}{<pd;$D35?R
z${mVJOTlcg2JQQC<w4EaeH9DD<^sef3q<XzaspAi$}JH5JqZLno4oWvfL>=-KZAH^
zECk|xga)TT;3vJ0feXZEtq%Ny&;;UB1hBtoX@R&O8ulQI1VUmeClEPAc?7~yE`q^z
z+Q$e4@(tW@X5qG2Al_Yo*hGOi19BSHE7fPg|C!B8^8-7K;>ZF`r7>+EoImEN`@lt+
zY4u#fu@p-Soy&fh;<4nZChPjy#Y1r+9)BXFIK=}$#f!&~LWBTZe`SKdUo`ldVC(~x
zf>9YQ*;>*}aR4;zK@$mv#8FN#awzf$hNIk3B{)SQv0tV(2#pO#vC#bAV1?%Rsrp2-
z=CrK*_@F8-F@a?!Y)$Z+_$kpurqy}TyyoEnAu4AR|2ahkKgElRWkhku(RynRqHcBI
zmv>EIHWR@9qNQh&t<bOsStKwLQ#pajA<82#j&cVTF^I%izpyBXg55*0C~PP|XX5;E
zLU(4WltBgcT*9zKyhnoypCvv>4Bi;cK_1EqF}Q`$;1mP=v_r+<eO3p4-qyt6-2|||
zXlXIH3mWzyi^M=;DklaxM0v!(QLfmaGH4%RP!Zn@XLeu30`a;6#3l;FX;;=dpv}j@
zs4{%dIKNv|c8SI=#z$aX^}-aApG5PQhweg1en_Zs3JHGNp+fQ}s{=phYeMpW1hBto
zX(3sBOjt-HrgB1(LzG8I9OYIPy5W)|Bm?vlD#83=_gXA2-zz|Is<?D7uWxJByKrr2
z32_mXo#JAAL~)TXB(`Wyc^c4GXJtS86o|{w(2ysHi=Xs92JWPvZFS%ugeEQ<2w;EF
z(&BOsH0(hZ%_$O7IdRD$$|Ek0a>bmVXMhNCk(EGP>|Tq-<%j|lr;5wvGo4<$+bkz8
zqOwz5jE^WT@`WibFOKFk4+n_Z<$6Mmb9TW`J5*e5u{!X}fF>@lBY^!yON-0jLc<<p
zk+?`q<-{e2D37=}$`y-Co&h4nMOFfFv3o5Rmum}9oG32ijb^vk-rA{6jX}_A?1~w<
zg{3)(cT}fOHbb7aT*CDDP+8!3?{`zwz8KA=9_|sMc0ZxjDQfs>hl<({tq%P1qlw!0
z2w;EF(xUbwXxM`+5;cjboT%jx<q<VUx#NlqIWKQXe(0BP0|e2AsaOy{Q$T>6AO@Qh
zi8S_zh{N%t5x8d{a<};Jsi>b>5LSK}zt|`t_Oz(&HqXWUe4|aUs4JVBweHw>yVI#t
z{=>>>rHFo&`c<H4>ge^gw^03|QD_Ml^z7C~D~9SBVqLaorpB(WciOP)val~%R`nrY
z`CD(*x7K>iD{)_ER1dPe*^7Mb?y1=w16XiN_*fVBC5_cvwat_D3Dqg&k!0`IPBgpt
ztx}tutnf;tOB?(Cg%)**9VD$p`lCt<se7^`kA*n`t`NjO-i?6P-XGi$CblRY0F{O0
zfrGT7zw747_W0#6AGdq;+1Jd9{j}hY;oe2H1#V|zBF+_k{!77iDue6fvTz*?aGeB|
zL+df9Jl3&(#1Q1b;NXa3zg6QPOj&*~4CD~__ayjtIQ(0=3D13d_0Sp%2fjA?%j+%3
z)LQS(;+6N8^e^>ETzndibL=x5JY&OlNWt;!vYSZP_~0_nY)H0{3i&b<5!FUryy&mA
zAq{i_d{ix$mZKNVP5PORX<4iPk@<e6BY-yRpu~QDDx#q7+xHicQc5wFzn186ALa-h
zoKUFEUWCmMj9T&zoX&)bfaD$Y)9n3K!QOQdb(2)}tE`;ta%glQ2R7KY`8!kC8#D=}
z@mSETMmuq*IB8&72qg44;rx1UrqiOWxHu({nZ<2}3e6Ff&2`)&&CQL<T1Z|^*2RR}
z6FsLkBtK>EM1Y60JEB<%X@#4k7e1~2QPE0G(VI4GsnlBAg$2i{A*PTDM5+W$n!U=l
zCfIr%MoYX?YSmC1c2{?{H6a7J_4)MLWVbGfw}X38<h_TH_oJ!g%|3!P*luivCx>-V
zE#8hDc^T&CQeYHYu|JEIMz}&NzLw*}9#E;$j3n`@iX!J0q@PgBb8SY_r$5)0Ky<&8
zf;T$R|4pb-WFvC774aMCwtk9=7PG?;_an7wZs>gGTH-5-8=7eUm@+uQ6u-wxBZ7qi
ze#id&pjFEUkL^SaUiP&d=z(}Zx1y*fcj1L}35!up$qsv)4poaeM)H0Bz&G2pzKc*>
z=7G9w2sY_wE1w4c+ZCUlj8AltDLvWes+mnY!VH~8S;PJul{alLru-?TO?d^0*Ld&W
zG4G9DeH3Iu20V@7oTs7JF7I2M3Y-(?LF<O-Gi0rWh~}H6|EA~m<J-mbSEeG{C<mSH
zF(`y(=VLRr$AFi$i>b+-?ynZ?-RCj5`c>*F8-+#(>M;b_RQL!BOftzUSjW*H_6qji
z&>Ekdf$huSrE()v8jQ|wlEboVv4i341<_>YR($q!tig_hUZsFk=J4SPmeI-u;Iniq
z?N$X&5w^E%A@^mxJvlR_PHIM%SFpdF!G1$o*q6Y-73_*Xebc8P227t)n#@|&i0Si9
z04|$8{~n)c`lKh%^vN*|Q+4SnbR*CL^|oM+YQmM^_5`4=13$C$JZgdColLpq5SX8i
zw!y=YjxkjHF$&ID2lkzv$YLU>a;pucj`y_c2#uI~FIkT)%#Q~7E_@I82W8#<UGvRg
zaNgOOLlI6T+0kGH%2|!_`x2@Nf!Xnak5%isYowAu`%?O0;`)mcU#>|oc+2$tP!&Km
zZ<ZYuoh=@<{D$v@dkWnw%X)%f;NptaD1On+9dq<_PZik#`KxE?n~95GTaEeG`;5im
zD}fy927$&M^s!g#Y_0cZ*$u_UP2YGt7m^NcXV-<y%8OL)2BrBhq15a*f(E9pbl46V
zzr^~}j`m%}`6bp$n6ghHZiqE+(z$P`3XSGb%s!epKJYk`VCGnLSmJTa`iVyJ0RTeC
z*XD+C#;^8uAweNLdoLhnpeC2P3E*6I<CU#><?X(VCS=aMAIU==ZYapP{**?2{Bo8g
zh{arFGITwR2DU`2-Gi9h1dpV3#e%Lheg@Ez<csW7<cZ<z<Y?9q0ndf1;fZ7?@!>jG
z_#$F>Nja-7O2MrN+FXE@M!4t~NAixr>7`QL2#bfUt+W~a0=U;gokkfa=7UHd#9>v?
zmgWoV5ICEtxC7^!wI-v7BX{Dg!z%0oAz&Y|ZK(lo!Txg{1IJJL)DqrMyNnH6%zomh
zWO6cWUT8JxSAGa0Klptef#@%)>&c{>5&jw)_MnG0DoNbrHY(*%<JqX>D0gTSPe`=&
z<I02fu=`Rf+U0ee1U2dfh(#Lkup>%BQSk7^u)7CZeKr*>j=4sL;O~LvbT0Js0fNi(
zQGEm}#S89X7d7g*NP<ozDt>r&%?pCJV~Z;y#?}Dz-JddE3Y~w35FW-0CnMrzz+_Ck
z4EMiMh9}7RBdiop&gCbwyA>F{@@AR*E(t`+Y0>eqoTh7>>~#QK<W&=W*>gzk{2vi1
zNKc~s?~2O_@kInC(LJa<#10!VfyXZs2rEqzGrvs0@EN!l7V*uZ97hAeSd@dFJW-B0
zE)qO<vR#`P+tO)IjbTi4P5}<ONl=A3&L|z`FkzZQl;hl7l*4SgiXg7ySEP-?ia(^_
zyrzOlODgN=55+#vuV=P8GiJ11LA%kIr$D{7Cn`dLnlDW$JUdzn_4xgnvR420`55(J
z*jZyDmtXv<!bN-7-`Nfz`?ZO%OXSd90gQ04NTDse7@Nt5UMfWlz$k8pWR_wj`e245
z)O#>E*$;CpR|Llr3<OL;)flIi2LhT@+ywgob`zkB&G{%#(p~>$thium@zWg94dqAl
z5(Z*yc<KLzdkTe@SWm9-5`NLGFO#0TYWjd-$o3J4&bSn0V&$Dyv;N7>m}-N8CPymy
zP^9U0!mew~_{A8rNr7tw!53d+jp`FtMRQcaL{?#Fz(LDfF)WFyiPr~$5JU!-qEbf{
zqt-Mbg0dUtKZp<fVu=<FUc63HV4X#QUk1k?OxITkgPE?6@^%Ra-I2s==TVc1EM6#)
zu8#p|VpXT8h}sznuDCdlbUJ4OBhoo!&GHVG)Qgymd1w$F`Y_@JUhgeB_E`ZyVx|cm
z`*fj2;WRr1_-&xE&w~o=F%kM)SXK^&`%dGs8D4N+dtR*rI~8j^2%>GCfnBI*c~`P7
ztnlJw(`>hDo$Zxo3(mN7>yuk#JT|$W<j?FZ<jvu1Lo|y*pn<lVE+|WrXmC0o<D(LC
zeSQi;g{yxFRvO{fs3+u_evj?RXpq7lFW{g{V8Ir`v#ToWTiZ8LkXGZXZOvXo@m`l!
z03ZqUOufq(%?{H_JJ(~+ZjVNR3<#WpRdQk48F=dn)8Z%HT(R}Cb$Kn0R?MHwWRj9V
zQIJ<!&6yLIuBo*U?aK)~e^FhjCxvKlhK4<;p%5*@i!sFPY0Cj2%yU|NiDe+Xz0Bx1
z@+}k0=(N9#v6aBA_-W$yLuGouD*?CJo1t)IFe>{9lug8Kf2UQ_iN{BCc%Lsbycpyz
z0a+E8rDwC>@0RKJTTm%v2<R-Egw}`B(VFdnp>xi%n=GvUw#?`_R$;?{oqr0y80x~a
zbm1s>Sfr+u)al38fa%xnPgz;M<%>=M1yMioi=5k3G<=csvza?zsh$cNk_WkHe&FxH
z;%Hx4?{u258xG?%db)t=8r*--Wwwe!60xi`Wr!#Nr?&VhQARrWNhg>z@+(%4{EF4R
zgP|eMw1J-tJ_xF}rHB+Eg6xM0@~G9EA7pLXcp8D{FIrj#pAHRsP(#xO!;7iGmjKPh
z2<h1z;Q3_+$nhUWZILTEUZ&^E28P;PI3TM>VHZOyw(`j_ok#gN${k-`3?(7^b7%xq
zlnqs}iaM}>3ON-OY*JkDFd3ov_<|pr(~%25&t*FDB`_6<jd!4oa6@BuqxP;Jxo&%V
z64&x|+qYq*0_$HpyZ%JJK?n}LnRfehdwOOP&M>N@i7`bLpTv{~hWKd87-`M!LlF$Y
zNr$)?FzFK4YQL5;JmJ871uMmqP!HnJoM`Dv&?0&fNg|pje-;g3*_p)XJT#;Hn5gBS
z%0SYI0e)CqPAu9YCX*N-tUUPHE)fEVU$hm08%b5iqAmFyfkj*V&K7MePlqSknodtU
zX3_QxxI2ALE46IF5^iURPPCQ_+yMx4SeSi^tGz1QO9uDLppi*SuhMwXx1BGczL`Hk
z&!*TM4<yh{Ka*?2D~89&y8YYc@j@#hAitWqyMaKm_RJ+fM*(X?`EuTbFcsx*6UXOC
zJh@h7gR3EDL)C<B<<AfI6k7LVJ-ODv@QcnO=DHt?8+p{VE2z}7nlm|04=NdodXVdV
z(}Y#C;|MbNb*i=Aa;BqwePE(EUvE)zl%0XdaqKLYqHRa?Fxco=a(d$+kesvjc~{X3
zEVo4BfiJMQ@St#>9RaNkbb;k@F1;#NRX8aqRDKl4W_Y>caT_5?2i~rQTL!sikZTg|
zk5W%$|AJi%XCLQ1i5c1CQJsgF5izm=G%um>pA-t!>AhPw)?r&c<jktE-9)`ct%v)I
zdbK7T<U>@#^=_~avsUTOYz8$BKZg*xwQ1a44flTI%_RI>Kn1anA6bkZYwC2UTts(a
z)bQ#H2;8(gL$LQ63qZ=jDOh2`2oCJSZcbs#^^T<5d<Ic*&zBhYd?A&4vd?1;c8!Lj
zP`PU~lD6P~KLt|ZPCST}MucGEym+hTj4}sR^9WDmtijfL<noSSFr>J~A(idznaVb}
zu#}w$={Xm9<OI({cJj9*1^FVsiyobHBksW}xuu?8!&^_x4nOI$vOO`F0WEEo#@$vJ
zz%xPKW1ZPtQ1OV}_`5=-*tmJpQqNw{um?31vy*tqMU`@B@kEsz<yIkDqPat&ub);A
zl)T-yn&W)o?OzZdglWP<1t=tup5nKu=)iX8Z%ASx9_2Y5E5*w+vvs)iS%wd{P5{9d
zr$9ok_(f17#K{<(;|NBGlMoyvuh>5=w6B=>gO%u-6=9S}>^WTVLjcx(z!k^u%oTqz
zK9MU<PdmmHKO5%eCaja!2jh>g$0c`|ueZP*)15Wqp(~%pgl&+s^8_4oaLUi{Hd^hV
zl`%$E2D={*_DAFOTjZoq!p*g~?_d*ORwCa~ci17#2t$(aD%A_Ab7+=%Balp=0ZjD}
zcHM80b^C9g$F93VMc#kk&xdA*D<3XvdG)($4GS6=?@Th>B~h8|-M<H_CV2Pvg?kEl
z_pB$EcaL9mF0#D))FaJbvzjxRQg>hyyn6y7+Uxu>Vb$z7=-r2r0|biQa{BAw;DcLE
z3t=#~oT54ryt$Nqm`u6+M3br(HcD(cWdQo8B@xr$TTbtE5J9KDD9%G5N*`r+AQJN-
zki9&LGrvZ#6iZs>?O{QD=zt}#CG``{mQMr_a>9OzAYyKJ((yrvgB!?MPqsq<!oLLO
z9SbpM1iLAR80uzjc!Aq)JzHQd4gws57st&Rh%rM6#%}YUv?^M17E;NaN*-vy>vM3n
zBhq(W5Q0bo&N<S@22-pZc%;uI?y7P&3o2lsk-q)C#+nTGF||Xns@HKf9uD^%dm*>e
zj3~lHn@$bm28Bs<C-L5h@!E`tI`O@uAd6+IOFf^x1t~wA{X;YZh>+m|vG|A<f5%4$
zv`}%w;q%eLhO2HdkhgYQt<$3L-IhwXEdzJKG75?BXGnZ+DiX8zU=0>IQ!qXXk+XkI
zfmB4!?!!tWd}{UVq}K3zu4VyOs%U*t^z8J>8ivduMoZs0{vl`zkyNlp)>PQF(c1eV
zx|Y@%N;52KuI!C>l1Ak0d?R|;GH&!ntda|<JpgY#AvOG@&jPjvwnA#kG=`8G{V+lP
zZ>u?TZqPL|Mi=-67e6KN{6%&1Bq^l!Ff{Bz4TaPsUUDI|99ldfHAlJQ%d?EcWq%Hh
zfO@o{Qqznt*!CX<B+z0(C|8lOpnIw4z=Ca0KFQ=&KgS@rJlJ+PR*F{xRWxvMA%*lT
zWbpz)*EIvImymp~6vkS71x4NXIzY@5QbtXIz2l%pWMB`mGhkvSZnAn_%J2kHFT_gm
zL|uVIt%4)Ks8+R=94;t39H>?_Xu5{VmO{12GYGufkdDfrHPYRStCkysUqY(e?fksh
zs^u4=(t{#jC~i#l23dPd#hPm?;m1D;O>-gFBr$uicM-)FmQZ{YTiDu?gB?+9VxmA4
z8^5zC_TBhIQEYk&MzMnfq6qt$a5*7ks%#TJVo<`YRn1O=6l?vR>0%4lE#~-{f%Yj0
z8a>&dHFgs?D}Dd!x(%(~xokDOQf1eRz|wkTj2yPN9Ti!0jq1mYpTiimbXASZtgXXZ
zYN6d!6IG#yREn8p40tiCh@W!KAcOEhz^C4wpX+(3sgc11@-11bf9rgUdn=sq%RsIZ
z2<+3<D`J5|u5UP2It0$*E0|dQABi7VFuU5gvGMY{Zn+BFUTfes`)_Op#YMaSc1Rx|
z3-0KzOgJ7XfFqQ^NYPlqp~N=(8Z<qS-~zDWo!O#ifF5P(fp~A^wtj=d4;TpK*%`xQ
z^ss}I-F`ZHS*!rs(TvM3tz077P*}c<1<|T7_bulgsaaFK0?O?RgV1G3*#!OdqTSN4
zF_yef@N#xAcE;#`T-ip|I7k;9V!?0ff@<S_<|)BFv#TAN8p-!@z`{XD%FSk7o!9%z
zI`u6R?eW>hHw<%NHPlmA-ipb<W%XdBV)ll{ceBSLzz-7hG#=`gM+1U>HzYfn-@1$>
z0(p#Vw<U`z+DY9065!q0Fc0o6cu?bQo2$-1j23B?4OmE<qD)%H^2up560>d$pKOGB
zbK(<SU2@82C*hFT1^E)gi?w5;>^Ny&#FavHyTK!R%X@RY0sT}E?(oxLXC6C<HG`+<
z#ZEljQC9&<RZg+4-j6LWXM*es>~}b8^X`R(<VQVX1(Sa*0C{lY^so)BX0Hix<*Vxz
zVag#oai5w4rLn~oMz3cWy)G4_*|k`Mg*z4Gj&NsjfMdmlHQ2ccnP|JhSkc}{NJ+21
zIt5JO58s59M#N+cI>)g~F#Xnu^>8)4$gHL!q8Rn7*C62pnccW^kd=|?WRY-s3JU84
z@Q`X%AVYs;V&k3B*pU9FHqU@)h?Bs#LqnvBcdFQaG=9=Gq_PBnAfR3oL!kFr%>^Y_
zgh1~l@cc#f$u}tk`Uz;*gBl8fO1$JkpgFX7LZFUvtCDy`QoNs5545D+caer4&fZpl
zXk;0FX#UMqG<<0Ogeh=0t0yy&VA_k84GIwe^@#f|;aDQxWAFx_C2~kP`~g7HS=G-l
z9-0er_+J_ubdnbb{G|607Kh!9u?vB=-kO8hYrWZle-KCvzDBS+R0<lZE67ltf?f2p
z*;io*E?X2c+Rd8z8M4Ph!yaUjfJjW`1SE$jkAOJJ9U8?S5^eps@*og)U&R9PE8>JO
z4Uz<+c2zlns9oh22>zY~0-hyONFdIP<|Pk}g+QE2{N)q~{Io*_Vw2TDm>66jE+&Be
zMfDjYNg&3cVGpuMAS9-80+B<MM<5*KA{bn!eT+aL-wbDVU&R8kz5ua_GsGEFZMZO{
z`YiarHa~ccCn}8_DDdbHPh&gYo@uemN37XmDV7#Gm;Ers<F(P8<)OF`k5>^=oZ^9>
z;>BY~AwmGIzcRspht;&7+qIeE?F6d7XlcQ?6B_oQi3CI9C?^;>6nO;0QSPV`oFb9f
zFH;+Y#)hL<XkJ->^hBXKeyTpv1Ruj;S^4onRa|ojETdp+g5ShXi6)v!9*X8Q4-W`Y
z`8J`#DJu9WUQ{e2ibr~^x8@-J*XqD81)9M8iU9T(EiEv=gN8lGB7u>Z$_Y#kQ67PD
zlsl-1K_tfdg+)OW>>i3m;Xez|nJ5Y;bZ4eqa!_bNLOqu-ED`U~pu%T~4-$j5Cz~wl
zXA2Kyg%~^q8uB>Y_-TiV!KqdU{y}JBu$}<+7cDIYr$fUYWRVz1Oy$HNhbWI2ILZ|p
zR0i!M3@YNA;mq!<SRkqeh)ooT)2_r=T5BAPD#Q1T^Sec5muSGDBi6E*Dbx#7NUn+I
zFAv>?kX%Kman2R^X@?5QtE>+EoUaMVD+yqK(b7Wl8fe&qED{olshp7H5akgPN4b@S
zN>p-$WPpA`C73_#UW>(LrU1pM;?ljmzO7a7!dA8t;vy<L#l`ptOuUPHA+bes%BQ0_
z&BFmgT>h0%;}jSCv_r+^+g1mD8PLS#KM7!e(bD4bU1->YED{%qshqgv5akgUN4a9o
z&oe-TxX4N%E_ScQ;&NXBic`hq@|jMr-GyzQWyD2Pc8ZJf5yeHmFvVrxQ%qL&vyX=Z
zgt$Bw8uFN6_-TiV%Tufl{DaWMrAh$%i<TCb)zGj9StKqJQ#o<TA<82zj&jA~l4pPj
zagmikT<l(p#bwU|6eo(ycmsCUwztCVzhe-z8oOc!E)#*1>7}G+$kUcfm>wT03$o??
zZi?D?G?#j~M~K=Oq18Dv;inxcYFAku_~l0vwHX4~U$nHST@4L;kVT><F_jaw9HKm;
z<|ubuks;^hEy)l4@@;@1+AtLh;-v)y$O&SwNpUsqn<7?o_?;fOXTaXut8eK+0C-B%
zenhMMdQGuWLhM^nn`fST{o+N7Mw?(!S2j0m-Ldg@r&FhlCKYyLL~v6<{VGs2b@ck+
zYzEdJ8ikf{LC<b&v|`w~L#)fz%+%P`^-ddh9v1ORMV3{4$XEW>TlKBAUh_)a+Zfe@
zEN}KAU%PvP%@Y7iz0({Y>-K6rxj{p9n%|Itmx}R9+_U`)E$VW+3X)bL{ZXZb)IHh1
zpbCeZ@bHg!ubw5Gxamu5Q91xB3(14cKPMh*-(ju9u)j0$4QB-LOM&ub2FjPpf^sl`
z@_DEnTC7LavJPO>pq68S4b+Y;R*i$Movk(whTXk~z`rNKzr*3*%1wBbSscU=2#~60
zjo5z+UMOyp^tI7nUT;BC9N3%%mwh)b>0js*GPqSO^7b9IYf~mthSLUTrB`3$gT*|C
zAgM10A2^9{h=MNAJYcM<B{E&XE(z>ymq`M&H<EqG-(PxaEE|ih^mt5Rk*w8!|NK3s
z5I~r<_kTY><&YWo?fVOu=-gW(#(h2^bS^+4HG3>JLoljSCrfdr5~^Ssn?tMxfrEp+
z>!Ro;rs`K2FxekKK@8+P0^3f0XFrOiL02>;V5jT?WiQ%N{ztBt!LJV-vN(aAN~b-v
zsP4&X;wC_a^nYb@9rrJb?VW4kGSV(?P*oWN=G2Dd;A|c851e9+W+S8$?q^=eR6352
z7O12)k8j$r1+K=}E=(~_2dP#e<Rqxk>_J8cFxvS354`JW)leJu)poYwU9Q&W(`%F6
zy1WBo2lt`~dp0BNGgAqhZNM6ATeZTIW6rM@@2if?#qs<U7{#9IOR&-iS6{{VN1TY)
zLEyCzQ6yefQRJla<U$G0wHZmD{#;uEp>3z&jgFpALX9HJkNcm9-$?)Sxm2{69fr6=
zs7-1^=QAG>UrF4MmGX*|!3n0g5i5-d76$ko8|}SzCfcfe@Yqh&;ALOSfgXql^bd+^
za$j6Xm#_)d1njV)>GZFdT_oS<PydQzWprh9Z@cRN@J9elb^!RJ_(W%u>B&9-%&gWC
zX4aHG1N<y7v`~wRvkEB}Z7NH+B2!*avdox+r>Zhqg*pgxFwR%|TdiUjqcCrD=vGZ>
zyXiM+?wNyx8JoHHrZD^m=Pbc0W?(RUujc1v-Tqzk&2Yyvpc`7<X$Um6JLmFi({m_7
zt2jG)C*?H5MQ#Gsq?pYl8P-SZD$S)>Rj70J!^HJZB)(kseDK!BA3{|C)x4=~RCKm@
z)KYQ34fhnfsg3mnUdm!S%O!r%gB0fFnRNF9dE5D`+#FZ&?Qxpfn8|m#cVPsigNZTn
zSMlMIpgx?0WoIg9<pJiqL8lG@1on&-K?A=o<!(^MFNJ)FNai1xD9$g1RKk=!h=?ZE
zH1d#ZK3g8e?4!wVPul@FX8joV9fpv6v;)aHaRn0iRe3HXD1>L90mKZ{dpy9ebLCxm
zj2h&F{X3U{un)HWltz90a(1&mGYn-Y2(vB-TOUq3w%Y8@JZA29Mfg~n^aE%~azwTX
zxnVfFB$_FNKekYHJCW?Ue7MfwVuYiSl;~kP1-HVooWe>YT<DA4jbm_@sZ=*oGH=@Y
zb^#o_RC`~?iTS`C0cTNh8_g8<A%dd$>Lt;`k?VdJVik7QAC2CJVQK}Qdm+5_>_@;)
z`lJ#*bheBQTg-dnr(|-n?{Br5^s8V5k)Nvhe*~hxs6GoNox^+sH0(hSEsILr<d#Kq
zsPQa|I?5dy#S;>3{kZa+k~+DRa&~zZCqa$t3J|OLMkonI9u8la%&2IwV;C7H_zE<q
z56jO72rj>1?n_uHUT_b)s8PpA4(9kl#ShP}c|q`YY;i@z*cw2TAEu0#{QK__!ozss
zE-vC_z+_CkT5jp-CCIrLE5(y@`N{0;FQb=XkiB-%B3SW;|0voo3rb3nmfAlWMqTw}
z?*`;Xo^XX*Z#ak{{j(3iVVl9ag$4{y4Di_Eaw5iom`q}TpcWCUd}1aSo@%fX1vP}Z
zCaIbaYA}2Tu3JNVvyjHwFe(<(pr;)Z(l{RztdDK!w5P@}K~Kqu2D?&B#x<f-hiKNY
z3CA458XLTg(wgcjeya-0?8(!FKnfAO{F{Ou=*Tnwo!Kzj%H(b|PBu)rIBC8#Wv&h+
zj8pUal2%RD>fb&e!yF7dYix>HtCD-z-&uIber+PGCx`BeScIcP3T;^zo5{yo=(@fT
z12Br4F_@*elujSa_=9>6u?zOY9LtTtu>?K;zk#YD9Vxt6?)krnikn~`z%CDRu{j^*
zNqQJ+87oeoU_9cdIii0kKcd?hh_Ugc_k?>2#gkZ1u6PoD(WTL(=dP5X>>5%83`4eS
zKy=P0cl)H(tlwraCe~nNi6xPXj(Xfj*maE=zZhdSDR7M-_~L7<h~BrXisq<-nIOW@
zfL~@9FJ!Y=$;QZF`R^bEy2%j0YgF!qP(X<d#+>_uvK!_<2n)pKyV>mwlXMmZ9$A91
zDQkn$!|)Q!?LrvLd^alpEod@F7K{VKkd(-G!vHj~s*lB~;EId$(57=HFhZMprh88e
zSubL$!F54&=)(vwrg=F`U+*ni?2iXPVx|cm>~x_;;WWDx<ZYnA&i%cXn22>QEc=Gy
zd(Y=uDIAhrdtR*r`zIjvZKt_;26n}ug<Z+IZMZTRW{_sPRqJer+`O=bwp*XvA_K6=
z^(1Fz6Uddr+2&~GWRBLz0;IthALFAEW8Id5P!X!>VWkmnhk9bH>DT1ZdNE75i%AY)
zTh*${`quVM6qVKZYFo3{P`n4Zp5c}kNcJ~V=LvG`xU95r$-+T%SF#n&#IKG<fpq*Y
z#VWbD>?`4|CoYShbVJ2960E!NaJ0g9ab?_nyVaaIdFnbE18h7d`xXMvUsPA;Nio^m
zp<xedC??DBVhk~R+Hyb$^O<t#%l^5{=s5B%<ICu@zl^b!z^wRbvcnh3^nO273e8nI
zZnJx!aAeRa`x2B*#BG14RnmROM{{^TDl@zo<SqeO6_}-Gv)|v9>GwBKX@{Wo59w%S
zx8ZV@)o#fp9rBnnP5JgqnI@1NtFSk~PTzoE40YjIt8kP%EK*ZS>hxo4!1QbPr|c`=
zdd15ND2V9b*W$g5iiYord^U6BE7em$L-Ozz%@6!NSRCyuA>~XH?h3;QjefWAbPbMI
zLfRR$RTPqlWvwYg#0R*75<ex%h~y_mliVY}VmWUV8uCmV_{rddpn6-1ND(5)ewZL{
zw3>_J((?#Bf6>ya?K#k}2Q@TpFua%=d<oE8jF6tq0bX8afE@o})D}6B*Ocjb`@m3}
z3j}1>MPV0%Dz@^;F`Y;GILaMgUJNB6`*UanRFn->v5I<H0Tps8D%hkrLHd#i#m86p
z(43B3;JJe7$d|x^n0Y9xn%$_q>qjos-j~F+e4+MUtW;qAYuojo$hQl^R(#WLpKedj
zOv0H8byOmzsN$2D(!db^kupYFoBKipLvYd|E(T1x#KqZ%Q-&uTxSwOCcoOR2o8)-X
zvJK`OHu#yu2rq?Zl$`*SkU0sGP7Ls;cm_aBCNV%*dGH<QA_Ne>I4c4-lB$lyS@Jsq
zi?jHhEzTYfh+>Pg^t59ZXV1h9Q}s>{4vfzAK<K&>2SQcv-sRZ-Tj$#Xr51D4;itvP
zz)978JoUhvDS0+^W3*K3Yrp5pS_=!cH;c)(Kcu6bIfMEuIXjVyuvrc_eZ5zqDyv~L
zL}Km4DS9x%5{46}^waEpI@r4&Byy8T^{aGNwgDO)Xc*nYny8BLjOl`rKnkCq%~2i>
zpYOe)H9k259x5E5;M<pFh}`*2(lzU22gBKo(WGTl+DLX5)?m4QUaEjphbj+Ou#8qN
znCY~-6^Q1;-n#Y{$k1$MA_1=<y1at@RtEd)%fh|{2CiUNJn0HOyc5a_V!)IrCCIE*
zjW~q$ZUC1}itoWEI)p_}o=K5o8m8aU2eH<}o#iFBD#=Ys$Cj88p<C}%$j_Dq=9njG
za|{lE?V*NSTu?R9-XrNl>j$ltP_Imr(z9e3QlXy?a!Yv2%)iRI{oCf-M6UK>tsw;D
zxAW|7AdpnOxd+Bkz&b*;oHrrn3HjT^@pmPjT+>u=JHR)gYQjOPpND%2ZG2%pxi*2|
z7d=R3ZhT?OCmyfGwYIYKnPzj5{>mUXyet9`Y(FJ}45o5(Oz`3?)z^q>{(*`834FtW
zlB4Xah->0iW5WU4R^dakW6#CvK_EF7^y1q)qIVdqbl};AHon8ag$IT6?4JQQ12v8I
zFg2>!R=|ls2FHDz_rnIq<2FJP47|MxCvvV6q{ZR>C^ba35lJ<iJv*9W+~imQI+sv*
z4j&kxP?<xwZmh$qGUTMH(ewp~tMzbeZ4dGy!HP4Wvb_bZqgtgqvl$dP{2W5$)~3-v
zfZMO}st|rmwu0Elk8F_|YwC2UTtrt?)bK_MSh;9-hTyaj7J%e^Q?SJXmoVVuQFDrU
z9+GbJ8AQcBn;G|9mdZWZ7}j97TPO;ZyWJw`&{;19QV~zP0xOLO!NeKyRxKI}h78&_
zin~tatid)r$o&n1!I0t_hg7z=XDZv^LQr-Fvd1{UTC$Q;J9PzFd;fp--UQ69qDmYm
zBqXHSk=3^0Axk=%1W;rNvV^c0ML<A619o1zU(<c*?iXHn6M~>|7kmRMje<D1;f{;~
z&ZeV+%cwIrqt2+HqkxX6KSva1bYxuq=bTz@Ro$v{tL}RpyT8BleGZ*>YdLkcI_K1>
zI%@0Jq#$$Z+UV8kINF)mrI73JI`|bN##i_ZKbiY+hq(^7Im3mwEl@lv*Wp$IFWl5T
zv`Wf#csC3jKn)#QX}lDURSIYc9IJTRtw0kxnmaVb+iCqk$-8ssyPMC+!ux2iE<rTX
zM8?WdNFqa}6V$Y8_t74J;Y^MU^96z{k2$`Do#JKMFo6nbrqV6}bp0#^5{gAXN~qu=
zmIy|OlMu|3S6viR+BZHHt&9?lJx?t9Zh*DT#G>)LaJ%<<fpWX)uYlVv{nM&X6`l@z
z^C-B?jZXdU<16^xYVHo4?=^<0sD|rrp-nMBHidYS4lV-W8(8FwkHI^zm}Ym0%%UJ4
z(R9qAXoo<F@*eXaw1%NQWhD?OEM2^dzFhZhzi$q^=s7Bie)@hPG<#fjzOCcE?_><D
zXkh(jli^g2%49G8WaygU#h=U1#Ch>zCZ89NUra7?ym<Xck84f9SiZ+PMx5co3e+?O
zGTw_PAfmm?A;PLXG3&+i$N>Vy-mQ2YyZDT|TTu#weYXPDiQ>&g^beaU-_Ao);ckTh
zFuZfA*oC}2_FNAUd@jBWb>#XeJ03wVhB|f+C{8DR2-y-_I@y<h&EmrZEP*X)o@lnb
zi!kE6eY9Q?v5<`W6&7Olrj(e;Be3+ckj*IHW~Zr!7@DRtynx##LemS}jL)C30LS3P
z^ClEx%u<4}_t}2ubab>1r;;U=0?>eu=izKmL~qwKZP0B9A_>@WL{BWHTsz2!o=@EK
z&e<V=)viYL;B;^5Y#A2PHU-AZ;HXn79EwRDCdtW%^^U$kT4+|ZV5mv&VPGcS7`lyk
zJz}svt)ffvk_70ds@=8VW=A2-d$VUnlOC6fZ_>^aTaRdQxLlnTAM8CBZEJXa3IleB
zZ?3l{C`>n8n{4U;9or^H;#z^kHK|C<PR1T0LYBk04I*SOPJvW;)8}F*&EsfovJtYg
z4coWYk9HSD$xa`uV`vOwvGiTyAA+M0F$GIxRZYCtZ2aCsuflpmW|l22)x7narV+V0
zS@g1Xd}t+hDTL03;nzUu3_qFr-_^Z#GPLo6o!<z4r88VuCu7`0UK6^Szza7u4U?qM
z*{fjS0BR_7rtwk;ofXg$2%UM_9ao)YH2K>d3<B!Wg(}}*LP52`5)vS_WXuQUDl+DC
zHZ|>9Q0?zwIFnby9E0G>pxWPHr+78ckESgin2?@@G(iw_Q!~K12+8+yWv0b<$f+CO
z2Z;GkDXXRc-j@mOJa!~85j$NbW@0w+Pg9nsi27sf6i?KpNYs7^JqfDyyGkzLI{hIU
zG*d%mGte#avYqtUI34vQj7GY9LBHeK;TKaJJgf4!J$t>-?iFT}%8Q~|<JRQf1aa3?
zuDO0g_zADV&|JthNzBg9uA<e-5{i#jD_dK0uqRqgOvFU1@w<ptzW@j-lEmmQHd@Ut
zh@RYf@Fc|^*<<)8h9m4={n@wiQQjTs?IzzN;`mvBc98~+{&GPZ*;(PNa^l+BbD$F0
z=p@|#mrhQtU%Z_K2kDV<aj5QdY-H0_?re7a9M)r$fEr;k*Uoka>Nk@i(fE{s^A)wp
z`uL`?#y|@ylr>k^#477!>xbd4;nXGSoh{mo%)IKw0t;%BQvcLj5ZRZPN2>xeU3Xmf
zYQKA~1<+lz&WI%DSLkHw=rT|WbMYN)+-}ua^2NscN3I)rQ^O2VC=6c%JARJg?3FkS
z%HT+z5WahHl_FwP{9wa$eF;olIU*lS_QUHZbi~4fgY9&~eFG!Pw$^)FJ$YM2I`bzR
z5x295U?b-5hOP+*7kBY9aZxfc6PPB2cii!dscAYqxcIU&TzD_FEP~X7i<6eZu8}|G
zeim%Z<b-{JFltX4L4pus5)Li?lU+D_Xu%T)U`RW(_ze$9g+mJgpuKZ@^o`2Td?yjX
z7QaJcwjQ4>?re5c(rEu^%j526*$kb)3_C;D1bIAwpNW%4F_Vw&@Jm=8cXRe^fiaJ<
zzN2dB*!f2}!`s*~i5f4T`CQg%MMy@E@L@T8f^!B7F?&)WX7XTX2eNn^)V!FTs2XbI
zMAh*UKEWAb!HvL+Ezhi$<k>YrOK#<X=8kqtVX(ENzO8}&xaYv<tvn<Zw4?yg#;VCR
z&e5*WlI6|i(XP*C$~$KxpmV!&)&s`;9od^vgUfRrVKvfOLMC?>uppVLgB$U32wa>I
zWmZ;ii1mj~5${tA#kJw$+IlsBYocxtLeUSDT_WeoMLGWojNiX;h@7i}_K9lrYT${T
z=sx8OWcT4r!g792r4jQLkURAS2Xb3a_mAAK?tX1q>G7SBcK5>iKL?|@H!)0>Y%gv#
zhKHJiGb0aL>i%ocue}7mVb!!5<(~WEP<VDUbM44O+1&{6!^AlwkF+b|K$vlT^THP-
zi9iOUfZD?CYU^_nwig2X&hQMlzhb}wd%L{#6GUyCSN1b(YQznyvCWTZRd(MPw)t=9
z*Ad$koleOS*+aN6aRF50+)Qc^&s!BGK39?c(~3TG<a;FcfTDS}`(dZUMG5gR%rw60
zr!Gd|1qUeEAR|Wl*fh4eHd?bi&xWP-X1n8mf}}Iik2t|&==l&aAt~|V^`LbVqf?`h
z0&rDBMxx*}#Ea61mN_;L64*R26`R=s*h8F0=kR*YqsvdAmR?YYD>P6=cT)K)#xELD
zQuEJF0aG1V9D$wsWH_g5?^mwLgC53_HHHrxb+}4RX&-onLtObjTowwZ+>OEJ*!1{>
z_mtX<n@AmI{$yk0tY~cL0|8^(0kKeTl06>=BDK7I%{}PAPo|jVCIJuxlx*S|^`J9c
zSZN}7@{D=|ffsIS?!`%G)D0LofEo&qXuK58s0(NboKbt)tw`b#P4RYGKhTiw+-17G
zH#?&Q(MS{deBY_mlz+bO1~V2>>nA6Y5<BQGLq>)gQ;pX6=tKjKdm+@0N5GUX)gu~;
zVIc1V&J|=!+*sf>8FBous^|O>I2#sysRXos6%fk`4>gAC(_>Tq_hRkPh!i>dM@<4!
zLGOfxn*tGL%K&F7p}Uzd2u68P=<t&{2QPHeX_l~ief3W`1BQV%#O_W4Fx=D>yX;D6
z>@#@DBDUWL&+dk{0pyU_Y0MPFu7H?;*m>G*{!=lXW}o(-3<OXHE=J0g!A&LPFDL_c
zNcB+Onut+legy8@?g6M{*JZMz*~*Af<zrjQSn2rq^CG(@Ov+Uv*M+Hx6GQ!+#~HCM
zu{%(qj?Ln;re^9usgaey1BIohoRT_2Z~OW~yPabz#js*h=Xn{dc_-a#e!UHEA3M5*
zhNP}{f7YsocB%vP(*4Jv+>v9BwyY0_DPDxyw)KaOV%Ne3V~>EYTu{e}Gp?ZK_G!#)
z)E_#t`ih<>K(ucQgzH(ql%I(^cM&uB&Ry_}X`<NYpq1+nZE}VU3%O-|@aLiQTAFpH
zfNqd+9;ySlSlW7wu<KhhezDeUQy^S_=nYOsdsXb&0}l;2ZE^QCZebxXcU1<jQTH{<
zQES@?tnBjqmvE5s*X;V)<K|Kr(hgF-%tKP)AVmOZW7VXnSHYDxmj@}{oxpkysH68{
zA7#;DE`woA+rO|Lh>aHe9|9mT+l0JJ<U>o2(`+$})|K-maYArM`@k|&4~;y0LUCSI
zS)_31j*<mHnK8#?$<>6Ujg;I^8&TP=F9Lnvo9&GMNs2VjKN>8RYXp_LweXfrw=2CL
zl!8zd#XSH!^+{{AYf;=kRTZM=Mx#InN)}@mabk$Bx2z6-Ec_Y>-Qp*cZ(UQt3Eh&F
zB!$NJQr?T4;cO$u)YJ%`4BehZ;Dwu-N<ArbdmaoNKn=x^1YWEqvQ>z(Dyx&ocT6yA
z(zq%_S5=vPa{_L&VQ3s1pSv2`CgPT_LiE-u%Zov7Nfn~^RhjqQ(1|kyOqNYT>-*Eu
z%2pxzRF&09ta=K8;1^3>1Y)b6cCj^u^wyeEg~**Rx3c_4)V<krN+^i>NgiW7i<<Js
z7;~r!(N7#2g%xW+e$}?|BU-oj@Bu$re88%=(kev1cZLgtY-}4(5_sXJm1XdcFmM1h
zv~38y*c!Z~3en!@+V~1XZ7fjYpGR$3PTpZvW<D4?bw|Aw!U0)7j9rdh46V3#&k9Tz
zP(Ge^9TX7C^-%|dfQR5hRj#5QE@AM3ieiUUhbxCij4BUT(43AuT<N8z<#`;DRfxut
zxK`dI9>q>2*1wU26jdxpq=>~d&G{szH88|ADQl#A!&gBMPArijB<T<rT_#=Pz2RF^
zmZu!Jo3T?o2|J1^eLNb#sym4lWa4z*9Yig5Qy>QTaCtk$0Eo#X2H=&4JQ!6W0Ch0R
zcB1>LDsZEz>bb8<eg|`x7Qc%Nt3QNQiMzD)mwRDVoL=^I`10dfc|n)>DnxGR4bm8?
zl+hNrzPh&ZQEd*1eUmlmn6}r2ZIwAJXgKp?>QV)_E~;q!qIDdd9sUl8VH$y9{xuI<
z|5x{Fe{`;2Pqh%`-10PQ{K$xi`IC*RozCM>#XpFdBP{E|VF-?-vOoK?vzt*FKcVt@
zb9v9606KOxdd;#aY;6>|o@XpWvFrbl9M8wDmx+gp;Qjc)=B6$7lkiHJKwUJQ6dm1O
zb7J-!<b&Sq+0pEPSjVjB`H1x+<SMI1t0OJd=cOQ1nK`Fnr#>lGfjG5csUC@8S9n69
z-g5Y2*`&c4HK+{GS}jTns3hrUhk8D;^_E~?%`ojM6Zd8>NkIwOH5WjSNW&IU7irg=
zLQTtkl0?IHbIS4*#iy`SJjIhs)U>04GL6}kXnI?~q|MlsIHNvlpuor*;inQZ61iVj
z-cFgZh_@ti=R1@q@~57JQMw`Cj8!^Z)6iqaz5`%|gb``?`CeYZ7Q&GI9R5X>!|1Qs
zF=WqxG9(?P9O`7l=T^300fY`r*Jl<?S6q^~IMHbxu?K(zVe^%@$^KpUod-2-fK~06
zKs;r_>|8ca1Lq}jT}(upzWU#K^B@=Dml{vL^g=eR=jYHB0Jqbp!U=4D;Ai3z*u+e}
zWG?(-vWT6)maL@rI^P~H>@b;1y5t4&w8XXD0R&e?N01?`Rh`74pAgl;3scQy;!rL}
z*`tVSN+Gophm0Z`P9Piz=DUP`LN}0H2wVH=h;dnL$9eGVakMg-DdfXLj`Qqa0XJRs
zwf6GqRb5R?kb-=dZ%7H?eHVYhFsT~+AGMyy29aRBSv{I=$}5@s6&wkLFOv%c6y`Tz
z=W?koNw>KSV$MA+!9AN&xhHF44{<j&r_eS?Y<g`9q{@AG6?W>AI<nkh{L@tvyCr&c
z+L5>zyJ$y39X{U#zXo!a@RPYKcbKzur!!o5^TP8LnX~j!0x#Uu+`v=3tnA}3Z~!&r
zV`;n;jz<e<2^^1l+ND(m)54ctP0XD;-{U;q8u^NEEkQKWM4ow}kVN{5ub`&op@GOC
z&`)7FlOw}?f#AyH${%B=c$qc~p@QL)R}*_O1rkE=ZwM7U#1g>>aT0=A@+xOsY2SEf
zTp1-Admd-}^8hPXO$@&aSNxC{D_5NUnjKgCOjX;VJO22Z%Ko^5qXVb>jDqo~2HjTm
z#ZCZ{h2@QR-H+3K=S$6rg8$Cf46|K%zOCccTeS|P8EE~cRX=(6=WA3Zd-vx+*97l=
zBR>=8-HVxg-aURXxybSE@d*YINB20M^wGw~mCkTsm1-IXCEh*F6Ma8rim+-=%zF1c
za)3aw^~G*t7th|EDuuzmJ5^R+?1MZc74A+60K<EkifPFDVrP1Y;B)<D2qf1>*$WW#
zVhE(O`eI*V@nHg%z?Q}OVq7rfKEj9-$_u|v`2Y(sdlOR3<T?Z({GNyQA7!VhhL~b~
zv1Gi2U#EPM1vmyTp0|n-W0n%M1Fqrwsykm`cXYH4r;;U=0?>fh=TW$x=OzzeA&4Yk
z$B{m<m~!nPBYi$`&pT&F0Xe!F>DxbOtm$x{P&*W>I$ClAAMUGKCQMosRlDo$Hait5
z-<zEh%>XK7IG?JFog`Oh#SPgCViLb>n;ePf2_(KK6^Yq7*h56lau~Nk<gAebsq(Tn
zVy8a2wU$TD=3tevtD={!<3=Z7mqJMG3ive;Qo~Q?F5qfl`?5o6m9ZO~;q1M^)XYXm
ztxe#Co0{fHQb_GBFmM1h6jIZ8DTLGtXbFVWJncFt5T-@6!zyDgRQWa&3bsv_kiZDG
zp<G4Af(EE**Me<dh2czI4ReeUZ2L#-6t4yn3V?|l0`VPk>c;nhz3#gytERx-cL?n~
zc4S}=vD0N@CMH$=Hf4EAxBnVD#S^t+m9bqfjO8~|LuI!EaFLg3-6~_Y`X(LK13-}O
zE>s!AFQz!Ss@w1U9OCo}vq|Me*;U5aHMuvv+%=VJt|f$@@G1<=g<O-w?Ck6+imfc6
z_$aorwKWHOqS(Yl%*_b=E~41$0RbYRjQ(Py*zAJn)`ohO9$?cIj_h9j;x)%`m9Z<~
zxjg~ehz5=RazX1tm9djf$7);Rm3t@&S)sz%QLzDab0#~69$#H-S96elRr4@U=~vaj
zq&=_xsdo+vzP>72g3YA<Yjm&nJLlT%3ll4Uy24;@))?{ywfVweId-!fa2V&x$j<f(
zh2>!XXw&$%5?Hv``FybCBAi_bLw6<60L*wt_HGyrR4f%O7b~Z5!c`J}KAcdmSlr^Q
z>G4Kubg(`q1>dZ1VPZPIw#8pN_|Esz_8L`MAXZTnpmR$Q+>4V59*C}Q=nk5fM<AW>
zc?W)bKa8z#@mUzf%@H(xworwO`=MWAse-!@;D?EQpu$CUG$8MN3NEV5b)801fm}wm
zT%f=O!-ab*F0}aD<*Y{$tL56|r`Rm`W>qY={3or(=Cl}Yc>?-%#4WbslpK)#02d{S
zT4+4`idwix&Q+t|Iqow@zFT4rsF<hpE$50_5WQ+^jYs{#E>Gy8_l0bai(rAh*>3os
zAn{BBAZG9q*SwGoFJ}7#Wi6&g8Z|Fs<2&SdtqHsykc!u=4||AkXb!z699kX#F-lrU
z@il(Ykdmf<RtlKPUp^c=^-0qt5DU$oT)f?Osss~E1!|<9fBI$)6uEd|G&Xb`(AarE
zKvdS@Iv9vlbMd`>{A3DTZW{<JC5A{hI>Ut(D1s-m4hIOla8uJ)PYRI^!N393Q20UP
zr4S-5pd}C@^|VVXR-ySny~u?-cbTs5%}y^tG}1)A4z-q=@*;9P)UBxXpJEncqZ${O
z-N9CZfqt~P_h*l9pNnOCq52(zJNUOo4k?FQ0VI=E!weIkxe|xB)7oH?qB!6ua}Hh{
zcCpqj?3I1m&ad_&KJH8qUW6eaA0vRnO-%vGHbdjc2wip;v<)DO1Vm%1ARq-q1q8&?
z?vN<{&}eJNwFl$DovU0RW=as7ED-f8s|iH?O20tJ-$@|gZ;ccZh@SxTCbNbaBtT;&
z5I-U`cm)DKnR9eqAb#&m5MG2K5Kj`o;ii=Z;*T(J09hmu8dC*<C?F~z5T14s3~tgs
zMj()H;BhVox8(xya0y})1>%hH=1`;7|3dixBAP+_gShDGsSrl3>k~sYxDH!uHKwLp
z6Yy-r^aR|sC4<e{Ef!&GrE|qUZ1H%`OKjE+vrB;DN<5B)fdb|eeu@{5o*WShaPub{
z{O3DEhru@l;|u~d+_bV_oCyO5&_sfvaa0hD0*V5H;c54*3Y?;m*sjtWgvN!VTxeF6
zAU#oNjvH?bjY1(kk7X6c2X*m@2^_QFXo}y|KQ)?YCwX-=uLXEOiOMSo72cf$KgElR
zV?;^E(fQS0#M_+-!ct%e%nSh>ZdzGjZh?UV$RdH!m?{WN0Z{>g@w7Xzj6pQU+NDiF
z6x<ogMd9To=u8xa<0q%beR5E0K|(*DFf3HRqd|p#YkZIx{7W<k1t_b;;GYN$UNOK=
zvnmEZawZ7#wjl-&6Tso7mBrx4FmM1_BnBE&1u-ZfDj)`)cI5_@Mf(VYiuk5CbLT1-
zh%c8QHc=o>y8;WwP7H!kW%-_Qez)rE6OA3MkHEV554Mmz?WHyYhnXfocO@kI!9W4C
z3O~)NkR0hu5MG2KB&!JEaMQ{{@@yD5fGiRcjj4i=6c7~<5>LD3rAkzDgl2$tLMPZi
z+*!-TW$zLcr;5wuWsS`fjY-I!s30z?vsYZKk0>ts2aPS-Q%0jXEx-XvTpENL@1BC6
zW>s8X;Y<*g0Yh9~P5_6SRu-47FmM1_BrY0L1#u}LDj+VNcIBL3WPk{9(VakC+*!-T
zWn&47Q^n=7>DE+p5()}e5f|0jD=yYY6c_!2EiQi@&1nG+P~vhIp~fpN_-R(f<)54h
z!ZKip%a;k@aMQ}-az6|lKo*IM##BLE3Wy4bi>F<=xD**6LR@qw5EpmWa&h^q5)>zj
z%OI5Ao@!p&s*evq&}!iF>H5Uf=vbqY^z;PA@(I(vTwCDy;CEZp7OuC&Ak2CJ?op!l
zM?$Mt)bP`+irRkBi!elOZ|KCP0xfMdhKHKtbvT1cI!}2j3>-ifiJHb#LDUL}3W%Dg
z-LYkcT#&akKeVfl0fOklR4$0WOBF<RNL2&k<cQ$4yc&Qx1CiO%D<Vdf@5rk}36(9K
zr_o%5rR7$Sf<;~1I9i_^7;Ls$4SM~ywz^hEzgpu;P&5tn`kKSkzh^a!g!Sd!(N@<i
zJGVznIWavxa8;w#gtsM2=hAKSIrLBA(I*<0)~80VXvEH-+uO6~pZzn9P7VMpm>oGV
zIaQyU9B53`H;y%i@?}jmYvQ-VhejvyTdh7eR+F7bmyYc7XIeBgc966h>D!bRTK8mw
zsKVi;ycA82sb4BZ>8a3JNgllIaN^N<N&$Fam@t@Uv+Y29BN?GB|CNI>B|vFa1?3<B
zr3sz6%?0<N697g7YP}YG6Qx*$a^%2kpqRlyu#kh{e}}^Vmcjp)UxHVi)kO`30Ihmf
z+1XCPG1^NS6H_gCf_(-nCaiB?6cV!dq7h~mr+Ud73r4&!Hp$o=U{wen`<jC00F8hR
zHUj!b8tRAkp^+2dq2ow?fx##lA<rX>Uo;bu*MEC72btFx-mQDJKRK7LF)%c7?gs1^
zrXC9BKJ9P=8=-e=)cEf&aCZiBv}SkVFa%>x)<w7{DwVKU>?O{@z`gA3rbzn9na`UW
zGTE&#Xjkqkh(z-{V%ZwB1{Ix{w=72K=6@+k0uf}Ubn@}C`~>FIqUt9LN}2=o!(?q^
zV|3zDX*CSh4zEeWVMv#x=x7Yh#o2!#z;NR=nw5}FnBhFX>GYkPPWd)`$-3cMePW9;
z%p@h$8}l^?KuOE4Hab<?JPIb9%m%?{l2-IIft;<)qmvEy^Xc`m$%ZD}EYFgY_UD4M
zKT9QT_EYR3lB{z)c`Sg4GSrc8I{qOAMwMaxf7q!{DzQL@wP9qPI0aOyjYg7qMJ*@i
zFw#${;!cOr^l5iG5{T_?7Xu0sE+#<jbm&oL2TE@g@f+!l{x3BxPrC1s?xC@@^_(j_
zM*K<RhOCv9DT`A~@eJ(Lr&t)^&)!iepB}V2(Q=iG$8n+-ujg6<^guiyJ<57Y&s<5D
zvJUfY*ke=EU17DqXudDrV-~sSY-x;_z~aPp;g{lHR2qZ+a<2;u`?b>=Z)bzKg<4cO
z#wpKonl^Dwm&iD^s?BbK(SfOcxCs{8o#wdx_>a}Fd$i#E`$URukn-psd9$|lcXRqE
z?Na#N7KusZ?x4K$Z*ewt-}XIo&5XxOsp}>tH$m{J**bd@)?b=*(JF2!+r>4=(;-w7
z0`1p0osZ7*n~RW23hm+_Hm<MJ`10BI>`RZYhpwP`?AP7G<uq>QXX0LW6ElIwvY_T@
zPyAxCiv8dwy%$05V)6Mm&+~nEI)jCS^459K6>yItzjiqCQTjMlZ(Ry?YQ!sn)@z%1
zO$ciGY!UY^XY@tqPl0Cr2%*%TH-ZLXjp{rk`D)Mj9uF#$4@u_2l)VaZgU(xK*V4%S
zw<3y#b7%A0w`T#zVxDLue=`yZ@_9WU5^{uR8I0CdPx5J;*3~cU33`w>HYQQZdt+<X
zjx+`@!^H2&hA<Fyc*wN*o2}YJa|#@UA!+u5lP0bdY16(7BWa$<eviQSX8$MGplk$N
z1WXoHp4oiW?nJWx)g-ItaP*v0hm+67RHHSil)L$pMlV^IyI*4KNEWxs!rTQr^+~ZW
zcRQYg`%JC>JcwpaTuKRX=Y!XuXT%N?^MP9eK4tD<670@Jw9*~x(CFpp)4*RNy2YCS
zX#D;P6gKeOK`>A;2kxc?+kq(!|3|pPHs=1qU%^={)~`sS{%MnAwKF774tY)U7=kt2
z)ZCDgu4z6O1`gnfPE9qE3a6$8)C5jVJ?##OVh)YAc3gW&Qj=V{p7yyKCqa(`N)T%}
zODGa$F3)R$cVN^WYFh3oMg|V1VK{SHVLm``Wif~rc8Zta!!8_YU}&c%cL4a?w?Qc0
zj%}V3F}4Sw@AWC`rI+bmLkQ>bB7I)OOP9%*_%hw?Da%vjd=GYtC+Ct=#I7yqRkY3Y
zcTFJDcYhZRnyGQJv!Pq$z1Oy$nNvHTgaJzeI7Iim%G;?}2O=<u?yT}qXMbuZSB4AQ
ziGmx-T+_rX1~&vgnMc|X-y*c}bNq`!8}!%ggf`BHx6p<LhFi_?0jv#JIkF*MQPc5_
z=py!(MQp>;L3rZ@%&`3!dRYM%ASZ@LFI^4i5`$B<t84gTc<luG4+TBYp%;F<uw;z$
z%AIMgVyU|Bz5Sytc{{u;R>zyiTnlus_J`+UxI<uPl}j_{q;gmHyEvb8f3^{}mtMLr
za=}N5a<pYn!C}a;eYW`?LamGe1jX%G%p&YWAM7|p{yW4l#6Rq{JcC^e8v!^Bx^kM*
zi2yvEn%iJMHO%I6l_!~~SuC2<Cs>dAr@f+6s;}ro0b*=i=^TD0F0LeI^2L?#i)nG$
z^xVnN2LeN`UqEyQrQw9DhMi%<28*@5vJoaxGd4Q<v5~OrTQh#K)@)NCT({vGr=z_p
zwu%G~4R~io%f(lr^#&FKGkn0{HL7j{7rhgUu`K{rc6t7TSX*qZoIBX{v$b+cVX$lE
zP|*yTf#ajZXLv{|)XEV6+E_Iy>Q!*%&1HzwyAxO;&K_r%_pqed#8!j<!J@-l2E&+6
zNZFh%TI?SHKw`ED8T9m_CC6#@JFq&t8uaXCY%vw{oL?3W#rggKctVxRhh`6lXddKK
z)TbbNws9KrWYE&CWs}VbGCbj!sNULA8=auo?bxsm#3uLCyqPT;0Kj^)?eRaslQxq*
zRoHc2S(!wGKS~h<by`gCj7aV<1FKT;nLlZqlK;GK3PP1@zZZ7ula^>8)|&o^-YIB|
zLgFY`A?x9k7UHriYHKF8Ttd-V{8jSR=FzE<ocAUv^bge+ryG-k(cJi~wsFbEL4(&u
z!Ly=KpaTHELlPC@v#VgBVtkg+jGs)tb#=1yavrW$nXAHFvOzw>8O}Cf95GNY=bcL6
zg`1iRJt-u+4h9aOhC;FeFV+&XW0n9ygx9oSy+e=<RaPgF@0efKr0vCmtrTX}KW*G@
zsxtd{0&cU5p>bsJDQiL7MBKKwU!fg%{L^0E8>=iY2DuACRuyLHZ+qTbs?7T~=)@TT
zCd($F_11K>X1ijjT(ayX4pu)=Wpxs(kR{+2f50!6x(FOqc-kEnsVOye+Oa)g`*r8b
zEv(RS#WPDNi1B~<iex`E<zJC}k#OZ}{ilM4lmRZ<ALQ>~aWt=Jv|6L^k{HHlFk4p~
z>P^-*;SuDduvKy-33u3jTT(>`B(>E)HOfe(f8U`|Sg{7=R~_p;Nb82psrbSqezN$0
zRd0(BDM|#zKWvbnaE1$mjAW4~dA}s^!c8m7;QzqD0o2g8A@E{r@P$BgwL<#aUf@m}
zY<z{GHWn!H&!e`?jeJ^_nfHfI-BE9aP(XG7j9rdh46C@xr@(Xp<>P60Ty-(jglu;(
z2&gC*s&W<e?Ggqrs3>+wb-(n`h*9MMADYvV2R(aG)2^M<ZcO4@c}_ckol2~KBf<OW
zBBVYEsrk0uzNxusdJJw^<d-L6n&x~G(;66JGG&c)Mz;xiaAJuJAxVe0=rZXN&t~6}
zvOML$U5}mONoWReXis!>C1??|i6#;4lOKo%u<A}?P0s1O_Y$?(O@SETUFGc*10W`o
z7=TwEG6P+O0OAj6Rp3Tb)pJNoeg|_%i{Hf|?E|nXaY##l&CVh1^Dzah(VBwmq@7<E
zJqf*h7;qTg)M%|ze@yDX2Ba0Z%8J|N5Co59+aH{3$CSYp&><yrlXc%<Pw;9g-d%kH
zIK{M3!@^~r0zamE%{TPscLjP(<`Hh8`ID^#x36<(;?I6_WMvC*7$UQABNcraWfQ}V
zRQjhq`|j-QX1K^tq<r37du2Zb8g@0L9%N70Z|M%|Jd#8T<o;Z8IUh`a%DRccv1#yE
z;qHmN$fyJ6-fx<=*$Sj<Z}yC6@**bjF@*nzkckRG%VcK&GQV=UEQe)v?R<Dyd$I<x
zeMq!x4iDEb(QeSL;uGCIhkdnx{n)CoFNB5Xu;+Z~3q*Vj+A3ne>a`Tvz4{}rXq^q<
ziY@XS{EPCK=&!&QDKQP3@krG-7S_W1=9Lqebm~%cT`_BqfT@EUqex;IVfLG4?pXbD
z6BbH}GLp1kZC=A#Nb?GvN`Gs%A&YX9<r!X?Hgw<iZF6m7&(CdF5dw-yKD$^5B&Ba>
z#&{Yy7p#`ZA=Hkc|83)VtHzTrS&2;&xEi`9T(i2KpNUI{5i?;7!;Ny|7t<`U(_zGs
zO2CuxowwZX3>UU?EFY$uX)y05tlAStkik}Qo~=GRR$MN)(lfrVxlBXI<tW>X$RS>}
z(hx+lMF`0x_cqJj-wh-e0%2_dM|9r7S0eEs^A3D?$Z?)+fYG{YB<=3%RF!NX$v}q3
zMu|z@@Yw4-D4c;WUg3tW+#{tH{2w*JvL|qg-t1R$CgrHw{Au!!G(F~l)+H4FB1d6v
z7QN%V23#|PI#zX&U^_KZpTd;eDR}!2&Y=O7@Z=g;N%h*~^hQwO@XsDZZhaH_3h)*;
zJ}Dxv(bf?A_)#2PV^5O~wF~JXi#onr0p}UbRu9}o!Un_5);J_y;K2smOBx*)UWm3B
z=Q4;n_iVqBxMw^3Pf9jN_D3X(cmpG+&^Abu*eeB66=mB4JM}5S#68jT=t0h1CrZ{3
zDG)mAK`|Io+~APfmgaPAGdv<HZb(jfb075PE>E)bzcneypjsZiIvrj6ITE6f0dXh{
z1WLzul!c#6T6dTMaiTLEt9aB=*6{>hxT(2$CuKmK3<C#HLq}N}FNMRF0$KuxEuMBO
z(9@6R4o&fPT0c<o?%etQ=5x02lG@Wt5N$-zQAi>KsJl|rt{r}Cf#FP!4D$toD-S=e
zz)tZpZ5Tn2NN*cG^51~2>rx=02=yBX6+Fc9hyo!_LNH5Sb&W`AU$ybGo#+~oGD<Y|
zJQ3>i0M<4Wp~mmR{k{kPBKMpA3b^0WN3H65KM(fiQ3xzII`_X%s1%=8^LOBcueA(D
zHDG@WEsFuNEW{&ra7_r`%Oa<I3|^4M6ue7hh6Ndgrh^XUJ_KTvxtRZ;^$hJS_XC;2
zGRC{=U(tQr@0-J}dX9>szrJ4x&4f4Gb?4hUUi?nRz={UeZ#Efzq*0md%|8TP6TJDy
z`I$IxUd-h4=JAWkMUFS0`lQE>gZ6M?HEJ3J8Sl*#5Yb-dA^^cXVrIR09yvgu*qaxJ
zvWsVLUX;RM-@HI|qIh!={ljL;V|Yj^+`JF~hPNW;=Ee7jwZqg`&1J|V*GJiRks*sA
zkKF@`vv^#-2wOTigcq>*Fn#F+wxoHY+45XsOXr28^@@mvMBPyqV)h=Dn8|elK=>EJ
zzT+TfGdoQ+#LzUI;RT+g4P=8}#{wLK7f(nNF=i>j*xPRJbUNA$-vKn>>3KNYHgd@d
zxRZq-l7JmY_5{n7YX=$G^ND-jIr{>rfUZXN_VyZTI=m-T4#lRvB)3C8ym#~k(nhnQ
z218AHE(!DW#?XDlcasL|(<;g&uTX#-R_(5JeD-fh_1^3o(Zp9F!g*rt5iR~jt`2CC
zM{;`4Me7>grNzMA;hXEN2@2N@*Cv}fP{+2(k@!P_#D`Onm_39&M5HW-aT`R+{wD=e
z<yAk9o%-aq8n{qo;P-69`mOb&<weo5)5q!<B7>MLeV6!$ASpyn!4_Fn6Yo14zxU7^
zvfj{{Wlc*(Z~dleL@KUl$kxubk~LMFjuYLFi!OxF7Q;Y+5E_0mcK}!W+NsjkOXa?o
z?GAK?3xkaD519@AGy*T&)HF?!LTCrUzyZ`y2u<Uq5JD@UB@jaMv^%ak%V_eqI~WAi
zqYG8O#e{-u3rk2~1lLfmB4a;~QPZvk*It^$Tr#+JA$E#a1N~^+;=u{&Sx6!TK{qu6
zoR5%vFIR?Ie21L6@qK`pm!+(l0(m3x#6;|LnV5;W#@D7SPwDp8W2bncE=8jDgA*XA
z*6%7gFim{U({0h9nHnlP3c5vJ#go%=I_e!T8tLu@{f-NRUpUq6cYN+~dc~>Tq(zY*
z6t^b#o`}1qa?SO2!cTY=hUP-9Nn&<(b``Z&mQZ}uTG`r~gFR7eVj?DLjo(Go`v2iy
z6t$+m*r+wTAd0A81rPHIrpj)>KQSO-_v#k~>2{#Eon{)A8Pc;oz_J<Yl?l-PSA#}>
zxuA{gtZ-I2k?q9u8&^)9Esnoy{o-jYI7^QVj6+GFXGb<&WlUs8&S4eCaWj{@wu>=F
zzfwhc((PgazS>ySKlQdjHsKx(MIT?()g*?QcDsx2)xLGEg}n`=h<Cq7UZLMkrx(Z|
z8=*7<Um-2NgN@djMvxD!{Ug_nyvgEph1_dkgU*qg9f-rA$QbXx?_@1dM0c#;Y)Dp>
zK*H4-@<EadZ?+>0-IeeHaN-@=5ilBh*F&Jj#Jb6O?UC>U4w$ky8!#^sYW0ctzgKUF
zmBO<`^}YI-l=%%8*Vd~s3_NcTakPHe0++~{^35~<35a*PgYMikXs=NNR|ZaS<$a2s
zvlroHf&-#+XWbR&>mYq_o&&$V5%!PVuM&{Atn?^sq~E=Og|lH4_vpaXCGEvjk92Tm
z<Uz~Sxdi&<ufDhCp5QZnFkmrr?Z`vfDG2bx#62UAw5y{5LH`sKCz|8>jAR0tjBL1t
z+trMRDcTExduMni+)FW`$=xnrZAP4yYL+e7%Gj!^vC1^9#qJx!DzAZl9kGg~GbQ!2
zCay_bI?za7U_7KC9#|-fd9D@x9&w*J@>+>FAYmSl>pvZm^2F8TX?#~kCE;N*T@8s<
zTWjBEi0_~`gzP;yb8q%834k(}!q`W=V9BoeAQfJ;E?YM-IyDMW=BpYtW!E7_F-y&d
z)#&y)Qa>(`dS@z9vyWj95&q0!_k=&o10G8+s6*x^REO0s*BifRNJ+upmjb5pk3Wl@
z^tKGT$CD+P{+QC5{05H^A;nN>qYgKD$O^~IL8kyNlFq!_<GiKRlaH#bIP)hP8~+iF
z4efs#8xBZ^dLZKg7>HDI@qrBdWa`P>BmjbdmQ4(aKJE<13a<)@K1Se$o0_|DQb_c_
zVc-C2C?u-!QV59_&=LrVdfKf>;t@^pc3MABl<wSRYQ8u7Rtch!W#n5j-=wDeTQVnI
z(HyLAto5HFghFUAI!Gu*0reyaa0FzB{0rE#@?RQBq$Hj>Y_n{baRRhgVzCSc3Wx=M
ziWiGrEDR{Yc7C-Nak4W(co9exd3JCD0UT~>3QD#F8vBe>EK4_IKQNh{0&N4xB0<rZ
zDhNseQ2{~mv^y-4OEluzu{}UI-1*9d<B$^MCJM*#;}DvuA{x-oCm0LW?-=RCzcpG&
zD6RzPO@<9KNr28uD5eMvFiCN*z)$8J{9fU(zcksMU+qQwg)>2T5r$A)M*xSLRu+mI
zVBi3<NGLR>3PMppR6r;^?G7mw3XAsbxb`3r?p);pad`=1lLexFWi^4QU+EVJ`8x>&
z{B85n7o&M8Kw~8k_YxYs0)d}qRUjU8CJ1x6ArRjtfWu8I3&i(e-~h5nAT*{50#QIz
zKp;HrA{gAHeT+aL-}GkgT;&4snG(b%3d9-XO?b4R|Ap}X4bv&;Sx{@tHo|*xvOx1-
zb9zENUE!Efi?FpaM8rRA@!0cHn{~tN5}>#ek6mG)fDwhC;>DvUM}z|0{K*D?nKN`4
zd_yn}AyC6jD+|VQ7&w3?5)6%_f?yO-6c7wgyJuD46ph4omEIsUE*#}Tvr`Gu6NTou
z@y5_7IN%=3DvS^6;@d;u%n?UZ{HFe?(L|=zKs2ufctDBDdP0SFC&5qgqT(1)F{ag&
zGeKAi41u|v01h{;EHGEVzyV~Dz-UYr1g3zffWUa#9azR7n(Xb;rXULL4CSJ5Q3*N|
zMdA3#>2aSNlv<F`&nFBE)$eFf;olk`BnEdxb5MY?N(??kXz+>wewtM=xYwB=%-e<-
ze1-rHH?1rNpND}1$RaV&m@0@t0Z{=l@U$y8s4Ut?7*xbJy_q{#xj?+X1hI(%aoQCa
zXr34Zqsj`%M24hfXP;=m?L0BE+9~oMY$5q=G=Bx?u7u=&2sK_I!B4X)B)g8-6NEY6
z5R#ps6ML$<lulL0;iZR}q}bH%FmM1_BqSPB1tBRQDj+1DcFRkZsOAXG0PTcMuz$F-
zmW#{dT^5(g%Nm;}8k3OsSwUP>XRo+eAAyN?)IVr!(VlX8G^YhPK#9vK#C=|I!B4X)
zF6*5MqQvDQ0yx~X@}6=D3>-ifiHpWmL0k%m3W$rRT{-6$86ZMjbSDrOch+)oIjIE2
zsk_T%)2*rIB;-U_5f|0jD=yYY6c_!2EiN}kb6S7{l(^hLsPT#mewtNr`H(X~SO$#U
z<^2S3xM^i^`3MXgKo*IM##BLE3Wy4bi>F<=xD**6LR@qw5EpmWa&c*wptv9|?2zge
z_kWEza+L3E;5ojVe`_Y&AON!3_NOC8l`lc7<OP*ZVq~@4wR#kG@!H1G`sBc1v(;))
zg`}Ez&VfDUZ(IpE_6@W&;qnCb?^z8a;mMji+UlCMxAurBN1%K2QmCde00F&$%ctQL
zB6xNgQUuG)4rPDNN6@t{%bq|L0B@h+e}Xw$4(aLHRhg8sKXg`fg>;V-kKS%Om39bb
z1?Gn3sZ09?aIG*I{GNlmXq3R+9{*DX+@}G!e~gf>6JQ<2${?pjtQS&jXFKucX(?+{
zi8uRWr>-a7oG~#yK5$i|)vUJB>fXMccB%apHbCPSO>i<zkBP=eVEa&e?XzK^K!6-S
znH<&i1JyH~3BntwvDdC6fWu8I@3m*azyV~@UaK)x*lP=j3hcF>cF!nNskNLZGzYX(
zdV$Eg^RinbU0XY%1j)v3yONsnsW@ljA|@J_)~80Vz-j>2rV|(cutx9+&o0FlAVAKq
z8igc8uLaOe1`jh;fG?B~Z6zFd4OaYQ&e3%ty2Y6wya+>x-bMh2n^qR0TVdb;vPg(D
zrV2t-KvY18JndFR36bW%JaXJl?Fqu<&R;G}*OVYTQJBtxBu(J;Mr(9%U~;NHrJt4e
zB!U(*K=Bn**}I2&`($aq&=krn2{*7M?Ca6Y8DJVEVfPaby%L6>;w5Ym@`_r9_=gSh
zkDcMdLSo3%4+*?*)5`Mn6Bsyv8j>fCmx4SM&=Qa*PrGL-d5U2ljlFhKH;^QE=5k5;
zY6+SPlEe<FoWN&9j4GW#v?(K<z<nY{4LN~TA2hr$B)9Pec#OL(HCX{=3*5~-Gxp+@
z(SKD48vD|w_LZ~`yuo&t`bQe-hxQ?H<Aak`vEa?AnXOI2GOg|%X28lP>t5}9=J2IX
zh9b^Q$*_W#$NAv~S|N~)b)LqI|28Lghcd@%b}kM>Fy@zZEmaPcaY(b<v)9?#O&{J*
z&3xWmlVr!kpk2AUDQ@1~5y{k`+^9^>d}T1Yes_W-2)LZgmDJ<KOFned2#pj9WJ#-~
zMpjF0V*@XG$$~ny!{Nd9Nxa097aQzo49!K^H3)ET_VQ>(LNejCuX#<TD|0gCv8vy%
z8;1A9wkY#a5<+bf_*}gr$LJJPg9JlU<^kg4kSl6UxO~*w3=e1ZIG<0ik4?hsO>4%c
zMw-)?j@01uWTOG4d|Qp7>4_nTKCS>xfZ;{88=PpO(HLqB^*|1Lvo+Lc(M3PJ+cZ2q
zA)=%k8)MDQ*sXyHiBs4_e(HhQn(!vt7%&UgWb&HQ(6cGGzp*W~&CS+j`eCpCpJO4H
zjJA-B>ry2nyB2$hyL&mGc|wT&<(K!C$S1#)L9hR<!K6*-wiFmu{P0%n)F*d<@<+=~
z#5c(BEwU&PF~mVUVx(5k=`ecX?M_Dmt@l?cc%#749ngczvp@@7+R}*MNL%`5YFf??
zJ@SylaPfN173UuKlg14(#r-LZQ%vzy?9``N7~uEZ<{UZj8n8YOf;j)d@V`Uhf6L&1
z%P+yV9@XM;oT$a?xt0Pw5D)0;mi3f=g_161Sm!p32QqqcMs3fU?~6~)s7DM$anCKj
zS7&|;V2W2~p2WZCK^*$aeRW2d{(ZtSto-l{21IZdQswnhUUN6x3Aw$1v$M9Mvtt6$
zfsbRpZ-W-QIcz`vV>N8OEeM;QC`?|o$j#T=cXRqE)l&G~mWQWYCYVcci|zUFZ@KTL
z`_4VP2Ok|-H!-;h&QF`Ivt@an0*cVL$es;vCTUl5sYW#+(0<L``RF{~z6iT2w2Ob(
zxPFGlm(MF=UkX1Ax&o;7>%gnkWD8b1TJBhWChoy@F%!hx3gy@Eiy3mWA8e;L$H+}A
zJ|FCP{`o9tFq`j8{b@zf*yq}d&p+eU^Y)ILwum=8X7rOep8~b|d_t)`Zv+j(>Qp+D
zs`lE`J>#3}QqAQ<<hd|q2O(~VHSOAKc@VRRVqZ{m^DN+4%wxT=%^`U*5()BoW*-uA
zgl9c4T33DWUSlV4m9BoIS&)Mq*_|auc}I55+L6ZKWuk<WFb;K4&GeVxQH_bFc&u5t
zOp_|rLc1MZ7)h(3>@N}c-t1Pn2EWEPIdslCwUNr5NOrR(Sv6;)=bSp^#5BN})K7(&
zKWX%mb@}lW+$!txW7w%rN`1M@@f_S{YW?R;;iETnjCwx!yZJqmL1I2|Nx-Ady>r?s
z+zWYS8`c-2m!nTB-iBSo>r!a={tEV1;JJI@*Fe4jelm9z{-|`ZShm{u)IV)1Jm?H*
z>v)I5)jI~?CJ@6-&21>@!H@63zyb8oVUEU4;V`Fwn!sU>r`;h@JfYDB!N@2c5|lK_
zm1}38cY$TYK2w5N!#_evDD!e;w%tdlX}NQ#V*@gRt^cjpPJ+Aln9YS@K0t8g%f@?R
zr+C3V?81=-gr=b0wov@=w{KriydB$IFQgsY1Bh~1%6iGiKNxyM`uK>KE|W3wP2*Ej
zmZ!+M20O)*bIB><i5Wq!qD7{^YXT9cy(AhmQ{!Zh0l!DSoC41)O2|01^I{?r%jZP*
zbIaSQ@CG6<iSDfOP|y3S4P4nPY$u9mC@W19vl!11_+*~<MSP2BMjKWoq8aqp>_jup
z8*A2w28LVB@c}FVSv8m;9<bH*;ZLa&(y$@vAfoYn)3~-rrB`BC$k+Qs;doh<4l34R
ztr?1QpqVFJcVWGZ<fni;(@N#hfYO-ukG9yoAE;>VTVcjG&jjD2d$m72*G_nI?5whp
zD<AQFvyN%(>VC&;<bB%i&o;vD(M$IQEBL@rj<)P>9Htm%p$DQl1`rgt!!L`Fo#}%e
zddPo=Rf&JtYxyd>7S`$i5_ILZJ>|vAg6sEDa~tfZibpDaY%W)Mk{N+oESf8(R{ykD
z^hos;eP4hW8%p{mKNA;95;OTiN%+N-Mw^~HQ4QRyNf8JPxlRGm8T6zR_F6n{4;vP8
zYj0(PN{bMfndpGW_5cETI)(5VezDeUQ{ZYv@C8>ptLk$)+N)wqeeuu$oJF(6sb@<z
z%i$~prbETxHLBDX7fTY0vA2I#c6t7TaB6IM#WUIUv*i^_VX(_9Qk^yFs`x1JG9Ho&
z<rM{hHdalFdKFxGa~ak2?gUm;vnSujgai~>(rjX@!E0D_n9E=o(|&ibZO#@g_FDju
zm~BGFIelo!ahkmo)MHoUoKFp#Vk*ozzYH7-?cFAK5k4AwI0W#Z5?*}@0%jYhA*%?j
z>{>S2gen!F+DDrc_12c!=mg|`Og6@bb?h~{pJvVMc4W)m?7h+4sUofO%E%-dyi2YT
zwCUCb`8gVF8+blh9-lE|sZ#HmKWUuOKJ+&!2vu(VJ=m#F8lr*lYWh>m<XS<3EpQMP
z)rL^)irSiqEtgP0*5Iqnqf;X}?@dx^Mkp>l-H=5Y-H@y{aRa98H=<FXo&R@YmqJMP
zYw&9zB#WO+OU1PkocEW>KvH`a{lli(qt0-){bDL<jIGIMWq(BAg`1lCJSiOeQy4ga
z8Vbh>yjV-jj#&Z-5l&N~T<&%gHnPGX8>^GZceXlf()MD(R>~|?|Fm(tdzIODfll0J
zW#Tsb9pEc6@RaQd11I9Pz5R-sS|a{wFR#DK@?wy?5M)(NOMlz*9#>`Fqh|}P$ETxJ
zlwFW4Ym{RkHTt3|tCLuTya2ak7=E$TMc|mi)9$cHO{uBVj_m>4uRC9EV1<q<{;5Ri
zpajde$iGZY`3sOQ5}tgm|5Vr|WPFSE2l+c#9L+1B%;6|Jxrref%xxCuc$2kFc<KnH
z4$)T0kwh%(Y#Ay*AQhDQr$!l({1wq856G`N$-9b}95$!oQ_T3u;saK_EkdLy5fuNh
zLB7!$E=sY!nZOG-t*qK^f`J35p>0Fp#n#{pf#zz3^tZjhk5*Zr#6OSPGB5JeRc8LX
zuA#ON3CKPZg<Xs!xyq-&bOGh#X?I+8G1P=?cQ6R3C>N@76}7p93I!F#4yi7~eKA7u
z$pl_Bry~z}J|T4E>pXtJb;fUPeI_eanEtm$GwHDHo3?%lOF1Gzp3(jhS-r&iH(us=
zx=a;>n+&$yzNxusdJOKQ<X25%n(76#V_E}4JSAm~bUwE`^x%v+#Dyds;-br>OFWl7
zGG%#+gsZSqJPFPC4Kb9XD?y8xO*Dy!$4-w1u<A}?P0sBor<4<x7~rJxc8UQIlSvG~
zD-W4)u0jCu2ec}1qp9jSpe4V9IiSVw;(&GwtV$fv(qFT4K)Vier5dfNQGCgw!m+B(
z^ngtB6D#yzmCqkMl5KxruANbuVMlWTcp%6XYTYN)5ray`F)$@$168(YJInaRmh2mW
zOHAuDynC1jz&Ge#^9;H9>2HsTc;OM6KiOD%uU>EZsc(*}>^(RP5jj7y7YAv|OA)7`
zj=TSHc6KvT<fl<SZ?3qqYhlo?2Gc{#2|F!a)tx_5ND<t&L^>Zuf6BUv!Ley@RN)SV
zyzr?b<=$_aud;u}33{`yMiUni372WJH(?J^Tk;=sAoHuK%W_y&*Uq1AO-$Axs1Mn7
z&Ea9X1Zoz&gKa;$eGdDB0`~7zg?%9`Jcm8!N?!!xW6)L+16HqP$nMo2aTV(^09Wjd
zzr?@jDi-|}*c&CLQ7Kn_gyIyqa9cHNN#`paQ)Od>iGw?$yko{ZEpeE+)8HCp07mF1
zN<-4#w0YfXAx$gPDgCW^hV00to4DPE&z{*q_if)c*EaP0uyz$8pqSaSi-kZ6f7t0T
zo(9fEswHv=6+6-YwsBn3c=GL4Y-YgIpliZ)s#W|<Tn>zw2_qM7Y#YCr28o>mW9*hi
z|3!SXv2m(1T-d&`JeO|fzMM>0wI_}sgRS2@yS%zlwV!8vUvrszkjqiFFCvF{)yh2(
z85RL2(U*QP-VG!d!e4DMRdlk!Xe1tFvVji|InJ}~V6?8<N4q&HRb?1RDv;5!y+kB$
zbnJB=l$FA_%P>`5Dg|wI_&;i)$Zo_bdb794nUr^Gv!}^E((ITAN|#W0eU8H1Bznhr
z4XDNiFJ#o|)Bq4ypTacTDJXFOhtGgYcpMlkq<U>~dLw9X_-79yx4sFz1gIy0udc}3
zvNgm$eiY}`*wds#?LvC&qYiI-)Zh@K+3JBiN7w+WMUO+a1)gTW{iD%w;eTkl&1DdC
z?s>1^o_D8mPxdbCA>O&jDYOl8BkoCoRE5?)ft~u4VB(he4kIuNmJAv=Id`2XSwrMK
z=u`*AU`TO;Luy-^)3wd;kc+qpIVCv2Ila<*yL1fozcneyp887k>U2o0ja>?94_|~|
zLFxF;uke$(A$OSe@O@`ER`IB`hwl=2;il%^os{<Q5DXkZ4V_<UycAAY3TO$Ouz1?7
zz>~{p?$8u(r}YCR@6MfXZ$3v0Z>8N=f@mXbjzSU{HNBIXmS;Wb6As1o>O~uk1LFGq
zFSj`|%ohl*Jn`5EJH^YiVFN+(Jo!2r2>EY7*E3Qep|JEa=n;7?fe<Glm?f{eH>9+$
z+W6T{bZ<x*B^rC4u=Eo^;WiVN#_z)QJ|9*kTyOd-;Cf3BwW`~F2JFqF;59co_Pw85
z#rIaTci@1ZVp@x8y#5xN6$4~eh$sHwUJyPgMh^KHR4TxvyGvwF1^J1la}JfT1Xh#>
zng5`9n*?l}WozC|AJu)^@0-JJdX9>sufAUh%^tU%Z|ivQI~fBj8d$&CWO%JcWwIx~
z6}l#P@^9s5;yigVlh2dKFQ(z(c=D;wc6`VgF0A!UYaru2c>*HZ!@QlaYER61@;q{Y
zK(SXXzQ`_~y=qYkgMHNk)rsQGMf4AwDZkA_QsJtF05H4{Iae*N_7K7JS5<Qv?#T5~
z_HqQh81C3Tpg27NCT!^(&itCihY45$ThctyZ2350#CZj2y&_^EHFs&tmP?19Ibjzw
zxgG!rKfN(zGs?c~G}RD8({zRx@Z3ardV!n&`3x3d_ClG&izl3kUo0gUd%f+svjq*f
zc^=NTEnKn!&SD{mBw)u;J%QSC?I5FiK5@@GXG1`au159t^4V!Rv?nwU#ifQNBk-ZU
zqc4yqniVk^YSNQPn3y+)t|OL~AFNNS2$Q@s0b*FSyO!K+3W?sEwW4XS!h`d~*dtmr
z<?4VIc@(GjTr{rX-ChjZ9lp8VnxIhKaBZ@wgLG`09Eq<HNPJZ)60@z?Lqy4P7`H)`
z?4}e*l}G(n?9?ZB)xZrR1HWe*#;;MG<MgpQhQ}ZtOW!5_AwUXIQ!qtV)np7n&;@_*
z8KyUqNsl{WGs~Ekdfxg?(}*<ON1~UlV?^WFr4T;*0Q?#VpW!ES18|kEof~aE<L-OB
z?z7Ht_U3IWWsH5uTSK2F@WM?^%Ooj$b}tMZKn;b@G+qkfvjSQI;WJOW<EpcaCV#tw
zK|npaP~|&JD6sav5)v4JHI%E!xX%sLv}=L2Ct)~~SHm1*1lE3oo#NF%Kial<XhM1x
zvIarWP0avjBP8F;m7NyfA*XJ9A0XyVlL@P)Al{D9BQl7G*y%Dc6O)UVrz}tD_QSAK
zJW-b-QTrkGB&gQ!DmgGs7I}Q96Qe;hHB|O*fYZpkcXC=zN3AAeVgRGxaqaMnDGr`h
zdHkO9onB!fs=O$gHEvDr#SnK*<(lgl!cTY=hUP-9Nn&<(b``N!mQZ}eTG`r~gFO*z
zVj?DDjo(GY`c1GZ5wWJf*oZZ|Ad05<z}vfmsj>s{PmD*{z525y!@%G>&|6NvC&lrz
z0PSWC8vW&hHnOwAS@i_AQz43e{^+=TaSHUccuWh<(jz0|kl7ubz~)S5$IoFkMoCvL
zPkIk$oPMR2^0eE<Vi{_aQUBCi2-%090Q8!3hK0aPy#1K&)qdApi-0?bk#AzXLcfU>
zox`sX7vI4~?dLR-e6j8Rk?Tg@)G)1Ch2U#o!_E<$eHMp75gN%eyLT%rQUrVozuORf
ztpp;jIFk>eT&S}T!O&faIsjMRk^L)-21*x`s^$90sr`tApARsMV5%ZiuNF^#uih{O
zZ-+r9$}rTlZsBDL`eRc6HK4Lyu$%jE{DzBb>(w|8&NqlKTR&{8OXQ6C=9>Qm#Qd>?
z_I#6VpQZ-y2uQ)H_bC?7euWbXj)*?o^Q}H#59x|0oORf`qJQLmm7u(3rAM(NJ?{l<
zJO-n1mSuZ!t1&#(9Gn?>(6SzW5B=Ip;2ReBm{EI&&q%_+#>}-N4`q)azz-8QjXcus
z3>66er=ZT$JkWO}E68-@uP@xLwmv6hdm(W249}GNDW-He-sQ7>r!=3HXrBGCrLnbD
zW1YQWlq#%qF!bw)bqcGK+>q^t>k=0gG{ViOyLgSEr~-1$>G!7l%#nYHY)oZfj9Al(
z(;=Bp++&``M`%>?9@WM|!cBoiQ(M~{n;xIg!M(Ijdh^KE;4*u&lkh)5Dw=y4;s>ju
z%@=9$qWGEXCPt@5AzFP^qjt7PjntLLLKsf!lOy;Xf#9=D1mCoBJ4nfc|AW2XmKP7E
zvln7l5m(I@<B6-5M^ctvP=|C-D6XfUy*GZ*Ak&Vp(S)}QOyzhFU?;t=gFy4Chime?
zK1NIxPqiC$xbs7F!8}88H|cO$7?2JZ%v(TC7_}!KRoQvwPxdl5M=w)*tj5*@vY_73
zn1q1>K~(%?%2sY90H$FtPYj~Ao#9vpQbE*f3A}Jqb3aZBqFxUJ2T(&nRE?KH5Ve4o
zKoHf_ZbcH0Xo|Pf`hi+>=Ppz3z1gM`L?g?{tNSP|uKVoBe<okXzc^x4d2?H-h>o4-
zb3u+U&0Ad!Ovy%b%!|Ar*BL{RCc862p^(eS;<Kh^>bM!L1UeNK&D;)qR>{z_SeWYv
zKt@v&*z(AyrhQlU{c~ZiksaElg}HvM@#XW;*~F*EN!py0lyG6LMbjKr`P2)V3B$MU
zO)`YRWEDIAjAE$d2Nts-JW<`JvJjd&$J___>@%9i%4Wfh(JaiRTzxFewGTkx+By+5
z2<uywC?((M{ske@mM3#vs=3Uo%7rQWFGO@PugW;fETY(Vwz+l|a4hDDM)FA>B>Rvc
zvrT+R$Pu1>3lP(lxR3DC?`R)bqIh-Ui69C2y5Esvz{iEUP*O_<Rk|>eHaD_SWQpGF
z(rC_5zSW$oIPD7|6}M#JEf2}%g7rW9ug6}Uf?MULY{5=_Qu51lKel0UuD3)lN88*R
zv5Sa=8Scnmz^?&!1V5QO3-6AoYFtu2)IT+ole72%XUMP~Mi6CQ$NLDxa8q+DN^(g)
z1Oo@qLoSKNO~EB8peEpwc-qAk+tO%@FV5x8m1}5!e5p6Pt^~121L=aGBt*I(S5VXP
z7(?VWsE1)VlMBOqfZ)n&P~XQ+@q!y&J4*!AW1HthjO_uNz~d?Fr96$t2;n?lBpDGe
zT_$5<p2qH1R3PUr*eRZzx&&6h@YUZnfk-(W8V#DMak5VVPJKrZbVlKn7tk|vYUdz;
z!!?0T>kRmu=zc(XJ0-q|z$Ch}%0s0rs10025ZF$X7ND#&O-xT(0O6BKS-|fiFW@3r
zl}K5jzude4;p}%>YWzaGeo`mF4RIK+AG|reYKX&z$W9+fig29e8rt^A+rCiO<v`Im
zWv@=kGf<i1y4U=wV__fYyA`>lA?5yT>#VJM>Av6vA1KPvmc0^(A>Y=jhrVqKb-j&U
z3mXJ@D|F>lrt<1#5a4=hZof=48-=>=tiGa;2oUXiG~v+Fr}>$<+fHI8UuX%xn9^v6
zmMRzO`i3)X*mAM<S^kP6J~m(%>f)kIUnA`L){I}QHQN*j7wY<{)6rfP8{Ffe0q@Kc
zSn}Lt`ac!|(}G~|8g-MY9JRJ7z{)Pqe+joo_uFif&Y{2`7Gjv{P)ONX2LD@r2}Y5!
zU%`*CgOtKx-yYSE!T|?4uO^Ts`3xSC3b#iEfHqdmwRja=d2<=%^zH=KV_D{-$pNd{
zY+`Rx>sWM{%U~GOv82t}qT`;Y0U$Bkgp7Oo(30ac8v%LiYTWYx-W*e5&-rEKP;@qv
zs)>)zCKuh3CQ@=g&7RpNWX;}eBAP>m^VK&GX>gfb<2DJmz9t2sDr&P8JM~FpG!Sl`
zKgGIki$;MC28>{rLWuSq@M|DMi=Rwu#kCZij1e-Dq|o@Dk-Xa(&fY;yMU8u>49|X?
zzza7ub$U{G_LDGh05uez6?n0h$QJAR=PIj{$agF-Ytp!4UEixR`vVEM&AtqcBLh*{
z_n~bfZuw$e|6OHyF~}_`*0sZxwgiOv&|ul^p%Z5Zm@J!w)+I1-B3jvEU42znC$S2-
z0`9da{9>t#z_Ep=U2N$sy|tzk>vHGIjjYho#oJ*e90ifsvRKy)HJvxbx}G0R@&Kc$
zM8ngG$-zS@7VE-K79X(ct+ZIzfHPc_3|>s&g_~BE!8!~aKn-mh0xz}(FDcfwxyk}1
z{(01vd6I9eGV|-YhT1|jAiFLKyBJw<l}~}`0?NnJu7f&TxjyP(5bzLOsLEB;+7c=h
zR1`a;D%SOu2*oE4`_P<@JoLFn=*Vsr>-t&}*UB^7f5J{B*1vK2A*!a9IIoRqn)69a
zYhZ{Uq^yz7>%JGk5R!C=i!PHc@tpSeDa%t1+>_WTo`hx$CpoCJ=N5Yp>;6vSFV<!I
zXtbm33ZRr2Bg6nZmA6v|wus3j2H=&4O!-zJfcOJj6}Zt<^&Hre-@zQ%;&*Xidm11>
z9N5xdvvXkkLh<ByTCpxC@@5w7qGI3b&ZxdJ>bX4Xj1ex{m6C-1RBlvIZxst-y)0UK
z%!AgK>R#=S%<((l7WSR1(`E%M84WRi(pv$=^2ha>(@$7)d}U)e48f7#&Ns?@?9*QC
zEsFJWc6Ku&<EK+TZ>}J+7sH@k4P0|f3T6%!#+qLYLs9DsCGz>G^)m5v7gSXkY;M|O
z7fMii1PTZ03z*UEH6LbgM?iYBo1&Qkk&bsS=ONPHs*zqTD>yQ(@FOX>RQAmWu~VOv
zsX&0*Fj0@hc<X3$qTX`YVi}b9&MQhnxs29oQD;NlLwt6q=ObHh3HH_e(ylUbZ}zDa
zl#oI5x6q@+@KFX0qAt>)xt*GpCy*vuv=5{#Pf`3^*eRakhDLY%emp6r@VllG?JmEF
z2Fi?wq=eDsv^pYk1J0<=7|4G88T?d2Mk4p4<?R%?5pPN4&bKE|$WJ94D%}uozbX~3
zY3Q+Ee+RI_btEB>TYOIuVGCiwKK&|X!O~x|W5J#dwRt+pGt?P|#}8G!L<s<NkXHB%
z*Jj1_$R}1hEUkAu;NOf~+Fl=@?{<vtI}fTn0iR}8E}o}yo}IwvY2ZA}ugmL5qgVgi
z)=B4TJozkMHkaot=n8<_IaA@RwGI4CT-KVH3FD0Jg-HBjvWT6vmaL(#aE7xv&a}Wy
z4b5MP6hK6$t+WWM_QVln2&+^lTj=?o@y&&)<}zC-m!oVQBFA$lG7oEewn0zo+Pk`e
z<U+98S6YutUAr|B4>CQ-hld>J*|T7@u6kKd@u*dm6C^1?Zp%>;nY`QLub?M2ga4ye
z6WJGWir(z=awfGO+bn9bka9@oeoa$C;pcJ`=1*tO<=S<UZgUyLoO}LFaL+eVxhMNN
z_7D%;<P@srCia|DZ`Hw2YP9qdH|9?oShCW8oC2wG9e#+N`jlYewm3)2>-}H!>a-K_
z8SJ8+2zBE88~8PlsDz))O}WEFrQKg{563DVm8i4}bmH6`bN^29u(Ca2-~ejKztVUq
zoQW3D5;zm}v`Z_Kr};U(yq-IEzQuVwHS!bxoA`jIi9F~+A&K-8AEKt^VS&g1&<m1S
zNS;wX4?D%nbX<A8i&G#W1iu7&aGZ=s%M!r|aT0=A@+wDMX<xPRvz_SXpE61`_B@XG
zp#UpaUJt(uH~jVZ7ge^Wzh=h`e}Sr=))im;<f^{7f}#V5{B+lHRAX+dQhV<LdYS6q
z)(yPdeyi^L=Tdt!jz@1*{g5`G^_$lFWXJrqMrE>Re;0I3@a(_9&%}B5VkVzwk6%nK
zay<LgQhN_N!`Vz}dM~DBP~zDaOYLzU=eG!}_Qb4b&m#v26kBTVH|*lsQhTK^*q5cs
zO6@JZ+NP?5jS82g1c2c^NyRhdZO}VCL@=qZn#=G<u8*>hArgz>kIqW%^|Sae0ZU-Z
zVyQijEe`<@3c?;PwRb!VF?;n<%;b6lApD-k$=0#cR6|VK<78gEgiGyR%mN&P7f*N-
zVX%~-9c&F>P@Ql(I&#LTWJ#p}G~n{ZMftX}5JVEN<0zk4Ou2TDQ9hrz=bf{+fePqq
zlyAR~t)@eLLhDeR>Sn3M`A}cgdU?{IsM=lI9@z(w@V(jX(ezj0!ueEg?>%yLK#M$P
z$d=NR_+{JVNc^Ng;@zo8%<jS-B5IbyxDBFa|Cj=)ikf`^JN3z(wLHaQ4wl>dUi7kc
z%;;U%r4Ua04*VJjr{O1a6L1x<eY?SUq7t$Y$U@a@MSj7roZ;-P!Bor`S&;YsenH@c
zo0`^1QaJ4i7&w3$3a4qj6vAl*v;@Lwo^~Bn%G0>)u-u*tRlduF0&V|ZLINWWgmM)b
z2fCM<b}i7h;u@P*!yJR)%0Sz4>=dsC5-Q<|D*^Exa_YwSfxYg8lvPtuZ#DFY4C*0v
zx=hT(WUBQk%Tq+X2s_0SwPLxwP0^s48Y){1-6C(#y5;t4^-Vfz3`Qf}T`0GQUpUq6
z_kCXP^a=}6<wcPz#Od99P43k$cTMG*Yn1R4UWK8#kZY2dot<4pu$3hgAHi0(w&q|@
z1e=(Mxe9^bMFjgF@GpvB(_d@^n_Un^*Hu+4fKAs5vwQVt?|~PRRmmi)=vdaXJ-~vW
z1!!N@pwVA0Xk93`chcFdp+-y9Q>jvG@2J>lx;c{_L60xAx2riw)hc^G1gx5JALe}-
zZyLd;?S7zpwck0{Zd{mH`O}rydt7747t`iT?B&?aeucw0_e6HKS12q8`$ugZkR83<
zD>xeS#~eObauLoR1o*lVX8=I&$hHSSLB&#WJ+X2MCwx!hk`E^|WT`t<A}m%EeQ$%C
z#q~^V$5+<d&%t@_3e8ewy@PQ=!3&+0le2l}P-h*seu%BCcMuYmDHRo}tamu{ODvDJ
z7Xth+u~OG6>&<l?M^b_uN48y{tRBOWdn=i-c-^h3w+=B|u5Dg`&4Q)aVmamvT8+(Z
zrpF)Rm={C8jyT3vq^OOcwqmvh7bWTgXgvF>>A6VGRi)oqwnpAtVh*U7hw7Gd)%1v7
zZYjNl9$MD3Nu0YkyIg{x?9VU(5Hom}YhK8P7qk6F5j}YgKo`;TA~wE5j@MTUylzd!
zYxYX)A;P0M^q%l&c|gRdktfC1_(elXmcmR5n96^C3wG+0rb>BibPiO_`*8F!wc}}Q
zE9eCN3Vag~m-oX!q;rdp+2AKr4dw;_U>dY&Vl4DC&Ty<?s#xf!2)uAp(<x7ig?<hO
z4xonO3>q(mSZDz)fmo=gU0U@!&DiNx^W3@1lz4CU-V#J3%gD?(l$OZ2!SxZN$|n?*
zicosHa>@C#JE)pxS`T^2yi;QhakG1|IFD5?udrOEUf$u{xU*O+Z;w~n3cwaa-s{>$
z_x*FRyqIEn{Tg3BZ<|eBIt02Fl1jpN!;a=>V$&69CSL{_!eH(db_N+mKxyYL<}-Nm
zQO<M*v-!@lp_fuU^YQxV#0;N5R?J7i{m?9yr(Aa|miIhbs6B544Z><xr8>#XsG4Vd
zb6u*r%#6x~DLW8xQ_PGqP9lpa_MJ>l&jOCcJl5?y4#}5CB0=Vh_>hnzJlhdQ>q;C)
zINo=(pT=ojoiifnLGEjhL@6KS=|X)wX#;m*ByD13w<7Sp*)4JnY8SRez+_S7J<aP%
zd2iDs^Y|tG<&KGYvq@6L{7IviT$4LfaI0LCk7B1jDfZ>A$u_K%_xb4MXghlbyNJk^
z;evb?ehs)F_{rQ>co#&K#*>s#|Fo&_9cM_E!<8HI?*wAFX=OL$K^QoI9&$r8ZVGNl
z0W|?P#M5rpD&@Iz<?7iVJL=6oU4mG{?LbM0bUQvoP0PhM@<!8Bw%S}6<^u#*CR*%{
zo#F*Ix{#d+U&c1qyx)%P0h_=fDeI*ai-VvC7acdqh<NET852`1PDxpwBIiliDW06V
z9$mod)!#LNXp6Wo8Z=YmWd8;H9-CsJXXez-c|;_Z&x!8ml($n+14LjF-C5<KvJKP*
zuIv@I6P@TQD@_yAlWjowWU>wLyExLn4pt?y4d^fTNIxStztc*2=R4Kome;6&T+Gvn
zrVU$j%H*xB6xOg|u}}WRa*dOd5hkkf0u#1X_ORQ&K;HX+kfx;(=6y4Z;9a`c{Hj|5
zJU{a0<*%B#2A;Xxq3u?}llGJQv#qM`(o6RREcoD1j<)O*I1Kr-)}uVzwm{yO*|o5a
z{}-SuxAQ4aUON7tqvrPeLbFjI@1g1|`knyMzWovoC;ft-i3=x*nS9|S{9;O@9ZsrT
zAaBvD>|w(~Zf&or1@gF{$94b$IXi{tmGFzTW}5=x`$xS_M|)N5Z73cZfYTF9^1L#%
zl7+yG8ZdZ`x_?xTTH69(WtZo_ggc+lXV=f(`7DLOzVn&C|Ku-_cQFr1g*%@DKpU$j
zMZF5Hyt#~QdUt~E707!ziw<)c3}eO?$m4i(GXN5^O~_cM4=p)Pvv+`c>}ssDm$AiE
zsB?Z<I24h6r`$$Bk=?1R9dUNuZ{(*WSGkk+QF1?RKxOYmzU<B39nGHLKvS;Dhv!<Z
zD&`)Fd}GIihs0H)!C%TXf;!#0V7u)cGL*+?%y_Cqy!n&HDf!QzOhKq}?eD@)ebN#Q
zgjnZKb-aI#Mu83hyaT%w!m|Gizmla=%nZR#rm5nZ2~K86S#`YsbcVAH7*k7Q97*1i
zdxXFXH#HS{QfA1bFmM1h6p|Hqv6jeI$NNK-)k)+#=9e{TTy?x%Uu}~rj4%VYJ3%LI
zw=!{?JqhcJ3_fMM!@!BS<*VZzR%LlH$StXkcTAOekD4vC9+!?*wmRO~RaPgl>M2l#
zUo3SIII8fpo7L)g?tHn06*{i?3ao?^43r^R9q&ujblz0QyE>ZW0r^!4g;x@jgHvDJ
zHt>_h2dsK4t&aB=XSgWUc0GX?ZdzHj-3S8*P(#~>z>BTHORD32xXJ=0{(01vxsiWg
zW#+%>8fpunfb7#z*u_widxf&VbOGh#Y1ctvJ8hP>I~W8!1Q)7u6*XN#g@TG=hg8+^
zJ|Cg@WO^u?(~$=~e<gHex2of9_ZnNjgryvjAkS%kkE~u|{Tt3=R1rIIMjO*K=aZP$
zzz}<+tdY*>c7+~gdzK^};-br>OFWxBJY{)`ge$O9JPA9hj(2J_fK_)Ae|0?DN249(
z<Z{9i1DsIaP94%BCX*O|R~|C8TZI7P4{254MpM;uNK1YPb4ZKd#UbrxSd}=WrN3t9
zkoNgT;h}2Bv#L<a@|pHYm5yd}2s${H-PZ~QnnQwCt5_88%|HOt@Cz$u^KiATd$m6}
z*TP;wBsn*o&GL6DdS&2LtAC1Ky-P1R{YW)OR(2Z>LvSQj#QPXKyBUS?6DglJR|?r1
zV9>5cs)OtaTRN4)n@6ld@zHA~+W8oDbZtAyWYO(42WDSEKzg%(jAjGGINqO}Zy5iA
z#(1@ebY#}x_fin4OqmC;Q=b&2KrGs@Myu4L6UOPEq!8YJrJ#gtm!Cn8NaGbz7iqhE
zi<*|7JtP{hJH0k`n=|~69kEk9#goe{)uMqi4c3&1xmyVDUZk=<P9RhDX#hkC8HwEc
zm$y@<D&j4P-1)BLiSDU<LZutxO;x48H4Qzc>MDShFNB9Jgt2-){zdN>(O<J;tgcNg
zglC#N`Mt<vD_N<<5_l<hA(xq;tm<C<yKz8!*hJ;i*+zBWKi9v5N1OL)2kPIwR^!QM
z-?FJXTcK;h9mluwGhMtrTBU~qtjpkk%P+wchwN<l5$qo^lP@U^znCmyC#5AT<_|f;
zg`FZ(G4r<^J@xOntd!dctM<eZWC&|gCmHB!&-f<VRdbmPl*>`}azu{jnqwZgb^_c$
zFi{jn8?@w7eZ3n<E`+0f_3t=5-yewwnf>F#Lyq%o2uACwPqn+NQ&q~3Bm?;=!xEFc
zpW?4?C!G@iM@_KoH#kLa_CInawFle$Y4VTqK;}vDyT@}B=C9+-<;rrBZgUyLoO>3(
zj<{zL{>Qk2P|7{oLhK>lsmUo+%{4SLlT^6JsE4P4CEc`N3Z%+G+#5UfDZ#`&agG+h
zTN%ANeQNqkln?DVr~~EYFi;>52|t;%?l2GO6lXY=byObGNd#WFskwQlcvab{FmM1h
z<Wp(96plO#XbBv7dfIKX;&<-c`Tpkd&d4`BtOU_$!^v|j6p~2aa8GJl9twyI`dkCU
znH(AB3nK(@6?Tf3>A2!|*QY>22!0cxf`?cl7$HtVFiT$Ld@Jp%Hh#7fUFK6piN>DC
z`MwZf<%-|ocj0>fE&fHWH~lp`uJ`kFiMXoQ_;eNe6Ds-NYW@z+h}K#LqZ)8q)x7&U
zkSQ!<ysLh{?)&GOcOBNe`-w(nvN!)D=$hco|C*nP^XA1&K5rhsm|Wy|^QkrOc7DA*
zTv&~o20@88U#xk@d6_!`2yT#-_2zlx0D)p_-YsVr&)$D3g~7i6R95rucpj1p_n!oS
z;jKu;FysZ#hlsVq)K|@A$RpQB*$<E*iy@EBYTmt+#fRxjC$MF)<{ihD7Z6)!_HD*+
z&AV|HV)izpn8|elK=?gxjJ=$lrW#_>-Wc=ZC0z6FdKTaqym+e2Aq<uhw5b%nbNX(l
zqs{OgKm(p$Tx9Pq7J^6ub{yFgL@d`1GP36r_q=oVWl#ZKjqL61HPm!?PpBLU?|oHn
zhkSUiYQ;Jk3#r;&$4#>DAk}-bZ$%Sdg$U<U!MktD)d4N?I3ZiiPU4qslOyp_fyDnz
zMPl|N>>(m$IgHyNQuf;vNL8fl*Vw5~ZmZ>~6mziP-L7x2wX>~cO%<o(L|?~67eZ(~
zFi;?bhM&wGz}3F?g$3i8Nq@n+gPq~RAY=Sv$AvI?Z&oAl!c9%nBq@Y;C=47x4TaD&
zUJ4<!0$KtgG*7!ZQ1H%$D&Jy4!L=nNBrt+&C|8lOpC_nk*Me&=OJXjW-@hI^#jAmY
zT67|jD!zkO!0q@xARWz=RZ}2uES{K%oh}nIF=^^AQkJK5`*qkUo~RWI-n};(G*d%m
z$3nNr3$bp&J6nB|j=Bv-Bi&snc!ys&)$MnD{?_Rgr*@MTMSc*cck?y5x3%0gm20kB
z2|wXg7@7;YCW+bE*;Uk9SwitqYh`O|4)#Q?iHVro4ftI|tsld`C~8fAu~BPwK@?F}
zm8t+XUAfEd)t`M6U(VivUXz>g6uiUF0<_<0(C9B0v@R69J8f-!s&Q$vH9A-y>!j@6
z>ex_vaXvea9$ozIqVpDPw_S0xeyCp1n5b_YYYeTfVf?RlLJfmnD{52CO#_z=49fL3
zCRf)+C#Gsw*Dxgp8sUFd)W+*q4oud^H;pw0CP%Mo3`{i#21go$mkmr}_rd1G(CE}?
zbHdx#ZZa@EF?#uQV*sN2@c&zN=(f5x4A1lx<{TUcSR|;Y*T*IS4EPBr8y+2MObj*(
z{f=05+;c>uR$~lCzM?VEXtkOxPs1aQ6b*4<6Vu}ZBaQkMTLwl(r=}V$7X{Bb;)o-b
zQ_Uyyp2}kJ?4hUywNG39Q}4!f7Qgo!ZCx7HCo+IXMFjWIz1r`cYd2Jito5fWC3uL&
zlkcd2FD01cI6D}Jp^Gi~+l71j)+sDA-zS^u&nkiIog;r~={H6D8^A2{!IhbB7+!P|
z2>73+*-#fptV)$;A<Xu3iTeg{D%+j}X`Jejp>|K+R>{Bllg$m!W4VDnNjVj|CLCy8
zz|X`TXo;D82U_^WGzU98&>C}w3u{En_~qY9EFNf`w3Jfgw}|?EGiPDE4l8hs5Jv4u
zBS;WJOu}K-wd}&#!z`XS07Keg)~!4w6%MlmfVMqn#*x(NlswEjnTTME-@y@fh))!E
zcl#-UEPk-X@*W-wFYx7ZpD1#<KQ7?64>iJ1ncm0G#EGSt$;W;8B`lUbxeX_f=EmR9
ziGwyXHcr0d3~I}XNzr)Wq-m_;Eg{+bH$tm#vG~PWtd08cdD3G}M|(l+c@hr|xXy9s
zNeiyELAN1@L}}D{5|36}I9Zj)GhKqpJAhp~tMW==uvK23zwgi2KZ1v(g31#B+E_KI
z8KLr4SNE!Xns8a<a7sZ&x3_h~Iv$mr-aHMuCYUo9@-uOIQ_SR3CHTcsC5~aIecu$l
zIqnQvNywe|VB_`XD52H2So~rwHdb%G*6C<3h}D}sG|_tVZ7c+)q%m7jM|x8%#FlVY
zZ}Lo+pf~Sk*UswAQW(<o<`;QLD(FoCpp8|Nnh|>Q=xPxqpUym}bSR}QBU;*e^7}mM
zI6e6wbWPBcKj&xS^rV={r#kS9r8+D<xw9Fu3u?+8sFh=5ZhxIUu&r85R$v6%(Uo$d
zC@b?1gk0Z}@r$+OSZ%pKyChay^3X(U%V)9>L?X2#Z7CLF%QdSldDctNmd|6?&T7k2
z7}B)mOL<5tXiEX0ja8GH5!!N(LLA+v2p2*trRwN!TbWJrE8~<|6S^iSvsdvmamq~0
z<dbatVoA28%#7?4k55OjB^w)WcZTbR3iA{>4LNi-5=QMwSyAH=lOSsMunT8JtrP}J
z)OMf)AH|UJUp5iG#KTfS*aV0j3ERODCsaQ1+tu!;7ViFRW8eoo1~{SoF0qi4JROc;
z{TDwICzN6)pHSkLuuyhjVJv);J+Lh)ruv*63*(Q3T;G!Mi?!rf3*)Kml2{9ahbG#>
zSiwRNiPVlP46zVfJXy8JvtEMQTgR@QRePl{SZZ$(o?t8C7yqzDemxIK1*Indw6SVZ
zGs41HhRQ4A#NDU(_AK^Q>-T-Ku`$JCgHwQ;plgCv@@jr2P63LUeA)oNSlYm{N;*)0
zH#-AwYXvw%$n`B5zgSC-Re*oxbhMYmDnK5ZXa#sL3xO#z%&yXr0u&3eMU_>6JnJPW
z!0)qbXBA*646Xt^;z*?cKmo!(Y?1#Z4@m_DC;+svYEm;o0j@wL7Mn@r(}Md42T-_R
zTG$9$+O{Rk5fn}*?f_jAbmG4JOq@;>Gx-z*ez6pUr4uV2Yp!$#wQ*t+n-N_n<P;yC
zUruQCEf&96i;dNWr#c<&1+m(YhbCGZUcf>SiPDa=p;(A5x2!hgnJz&aPO@ufwP7g?
zwl>7fL!|*0(LZcqe;p4=1#Kt*w6SVZ)2j{3o6Bp-zT~#NbG9>_)_3KeBII7)ksXEU
z1mg8(nc_z`5_gp;0l?}^@xIHj039TPiu|F~8)EZ#vD><d$xV&Hsb))N4sW=)wqA`>
zOe@@Q$;?eVZwEPj@PByUt{*hT5;=Rm`Q<-B64OT<vgfG??bFmm9RVzO?mm_8mVFW@
z6xol@?PTD5J(L~$H_ke2HP%0JzqpmP<EAYuJz3#M+j{{Ucf%;|`vfM-wimY=!$Zx%
znUM!A^?on(YcGLsQ(HDQW>n(2?}o+ZdTV0l+L4E{4<Nt~6K9P)((ViuA|tJDo@Drv
z=pf&L*g)#gcD406E!zu$!Do2B>{Wc}5dfFlzKd9n&9(gxY#e--EtZEKpq1JD7sEr3
zLcfl9$d^nkIV1ZfE=^Rs)R<pzNsf0>Yptjba*gW0me*&F{6UF7plg09_?f3STQy3w
zzjV4aI&o>Oxe3$zCu;`vYHOQg)8iAX)c%yzM{i@<4u1iQ?9CS9e}ZH*NrBkG=i%o^
zW<1G_7sspCO~9Rr`WRfN(C8fov`>vRI5ekr%Q3x|!1SJ}n9laV9^!g-z7o&%?D7kl
zOE0LmM)4AgK5H_5(U8*Ka99eM>i*ur*r`wL_UOzMUolKCxw<CL_OA8ganSPG%9V68
zrBR=dw1aCjHF3Y@@S)L3Tp|&2(2$Y-?D5Ju<ZGg_q3_2TdliU`diC%G7>HDOv5X#m
zGDR@ADu5uMjuWqJU*HTER;~!1ys~{BffsISZs18*wl9K#1E`_AaE+J3mF)sr0#~*@
z?N%VOMDvK||8`nG(4OwxWjjD`wz>q-NE2Cc@)&B$SDZZ8&BCtruNODRAj$X=k{7sT
zwXxBvHHT}1`mPyD&BjIzBxciCeM@7gwt1v60pG{qni}mZj?5Hux}}{^{GhQ(+T;dU
zgUQ=r4ht}elAkvbGQb2X$`5`r=dk33E#><jr)L;CLsTRr&WW`(seDgb;>h=o^(U&#
zd?(=`45TTf*=5k!XH%2WT?hbVcSG|42}n-Gs_j*7zoMp$5d71o{8y^1Fb2020FtPs
zzwLP+tTOMnp%d%MEG1WFygoWH!(-NtR%PEyM=M*&_wg#LlUVf>)5I^P=zx6fP<v$S
zjV>`g?T$#+E1FL2^uC~LT^P!B?Hfy|ny71E8JXu@RKe$iX$hT2$EU|@;x=y$Z}awS
zY=Gg}(0Up4Zw>Pz(E||odM9gj{Ejz%{fap{ms|==bbC!KQsW0+Z}Ul52L*J9Qscca
zP{0hrPbM!~x`tKbM>;*j&>3o6LeiNUUsGk~6A1@lAUjdxYhmmF2}q5LRa>a#3$nkY
z$_is}TcXCZD)V02HOx9{d@LQUtQvoHmDNeCdek_6F-0e&#y#y$?~-oP`l8*f5kcj<
z@RqCm{Yp3>QRUxQnx?LmJ*8X=iyKioGJ5GqV{)oS4=teaEuLTKq30JS(f-DGF4Q}s
zodA4Rc!yz>eh0f8^#3G0wa@~?yl(9dWW1p&ckJ_sBzd_3M6}eTB-Q^{4sV6^RzUA4
z)&Ef<jn{(5PbU9b`iWKj_c}ep&>5;<LeiP)|9X{~zeYF+1KEk{|0awbAOWd<v1$vo
zyz2jHl@-R|R^A$r9O=ER@MM*_f73PWI_m#->8NGZ|DHG4{2peABG-D<zbif=_3vr-
zvRT$uT9>qEdnVW}-1U`j7auC&n8fYk7)U1xM=CMMJUxj~{lVrmTz4EFov2M-)|eU`
z@r7JUE(V+w%|Zd4pw#m5Fi^lE$4{nO?l3TUzB61D*T0Cs3pb6|n2t<e00Re5L+VoF
zr4X1bpe5imd)h5`0+S3&<dT!n3539%wOj~}EkSXj5WE_5s`AI8d<N1`V|a9;0oD!}
zN_iMzq&^8I6Nm_yJs=uuUwGcCp2nrC#CaG!JO$5U9a&ph8?KLzO@m(yg||1>H;#^t
zPHkCHgE8yVV^cMq$?KR%Zc4x0ecYcl+R6B7N3(2zm6Vjdk#Ouae(;kiW!4VO8b7x=
zJ;PFBY$Fnq&WxWstIYgS!a*3wcu_8fFFy`r2S`BDELLrymN$OBRAq%RxQ#G=zFlSR
zf9o1{9Yy&-I%-+t=dmiQlbH1wKlsHIpOEq6X}4k4^^n#k?b)9TbicdCa^3&B60S+q
z{g<Hbw{IlG>;H|@5apb*Hh>j9xmuU`$&On0T~?5)-S<fogw*@f-fZ(uST_Z9i&F3V
z!9W2c3O||rY3U$Vy{~e5hM_amyM&}O^?qWNnU5zNgn{fty`KzY2S`BbU98$dEwA1$
zsItNs+(xMPORLO1)HUon>U}gFwXAx7WtG)Q%zD&2elf)-q~1O4j`6Gaay6rsM7#13
zpp0FJ%9ZinB{WV{#zzJ(H((kK1tNv9jloE=$bEh&a{)r?S*C@?B&pjw99o8TML^b-
zy8RF#D#Qx-)nS>vysOpFwf*0Li0)YBM0|fL5!oTL-!6v5^kzpz9A(N{j+l!T`6_lT
zV$@echBN@6642DE*hbRgmFUJzjkFq*Bh9g)8v3*l+MvVE;Z_6Q9G)25Qo}z+F`&J1
zOCHnSBJ)rv9?}@<S$##lg&}TwZ#ZzT$4GBc$p?Qr05k_>KSieN%^r1lFU;Z~%$QE8
zlKl2Fa155jDwP5bf`b{k2VMjD=?B3d2gCo2Lig<@jftt&DCG5F0{i;*iy>tW+~Q5@
z&FTJxqLfCCsd{=_m!^DvZ1#C^kW~&y_WRmJ#@b*ny?>;kerP|ZeDr=?{c1QyZ$a|Y
ziIglTwAx7i#_(<hh(ywJ;df15QeQo9vGs~gTfR=^V%@iW&s=+1+IMxLNHnTsXTFCF
zkNzlB6Nc?)MV*iR&g-?<Rf+E+`iG6{gEYQ;FHE!7jryQ#!fm?4`I)%ebYdphh8DQ_
zGWf;Zg6!2(Jp~eL$4rNzJf-bUa|W~d&e8^EniBhRZ?Uu;rmeQ&#)r5sFr#nr;N!h(
z2&MMC5i|(zY|d?_{XOHG>r&0-ZKhn9vi%S@#UhKzFUw5K0**Z|%Wz1}B9S0V&-sv$
zBRpFGqjlv<m$-CuNBimJx>whs6I7uT{Dl&+u%|J%zSgY86eqL>CL4{~=rEWFs1zDt
z4dAJ`ETB*W%VMHARjW@7fju!b-GYk|GN7(+Lv&#zt%<T31im+Wt6YP!eQZH68C7oT
z^H#?b$!^dj^V~J)FTZTib56Zg2g?BpIw%!y{-n`Mo9YKsaI3Bx+>V|4r0|!Qf_o0~
zQmy|yFq9@PrJQIy^%PfYkmo4B4!LfWaxf&f3A4ezJ0P|y>G$~dtxrcUN4q$GfnCJi
zHgxcQC7!zeTlh5)QNmB==E5J#Ef&jGlu-Y)sql4YNS4FZoq?|rh~cJYz$fX>z&Byw
z0D36eqj6I>nk%3ta5U#>cSsaZXtcHC+Jp9R=gO6|Ys?Gn(VKm;1hL2_(%C~vh;;Ve
zLru%YcgeXzwJMI$|JG|K!QJ_-HW!BZ0Kt{T+m>Rdc)>mF!jT3zmvDJOD1LM_J^O-!
zG`6{3NISL%kg+diy;QdCsnCN<DmTc8c<C}36U(+8pRznf&SSAtJUN$~BCh2KdKGP7
z{aq7?IPIKh&`gb!{TTQ?cmcu=g2E+l2^pt$&LkqSd`@&<SKdyEFCs9B?yT}q70lEI
zuIv@I6IBUQR+=WJr-B*blc`{a-$j|Q*TAYo1vC1~EfXeO{yyQ@RgQGL6iQbO4Gg!M
z;{!vZgHs&_Iz&w=9qw4yLAb+)tAl9Ai#!&$J$OHY3H7wFGS{W6;X2o#QJn{`fl&+u
z{d*D6A;B|iY3)qw7R%OmdF&r;S$rpu*0eps(ja{{s;hOg?$!SAT#SAQ?5whpE6Z!;
zVWVB$?;>jC{%j-cqk8GSKn5Q)%F&j61cxbxU?_>0V*o*MJ2bNhxrRR2VTt^Ah(m~f
z*lW3$T?-o!_y_39?S;z2mxXHnj+)zGKQ+wea+TJTMT<pq`ULAy|Fl>1K=l><y8zLC
zIVk*+=cD{gT$oAB<O?(57gHK-dhTTC1A!seQy@Bn(r~Ws{oWZiEacXP%LbelAuu!6
zL*ZO7<hO)f-<t7@wPu?F;gU3a-Dr2TSH-^F#6tsaTG5vAUHUwXg}{s>FnBHGKFQ0b
ziKw-00#<f;{!4hjX)U{c_Wh<(80`0(%F5Ebn1`go`%MBs8>=Qoy$Y_pxr}&vcY+(N
zR}Gw9-ouhTMiW~NPO<1Pm%%WmV^W*5Mf2t+03>FckTFmnT5_CbH-f6@Y7F$CQj1K5
zK<Ag8Lt($0q+;bGwTDA+Z?aLVPeCwk<MdRch8B1&n`};y`3aBJ)LRg<ouE+e*szYv
zCil}En%#=r*_+)G&7>lZ(l-xj@HV+dP^w$u++7`ff*VYCzFz0~?K<PPwi#!YQA+bC
zjZ^Zg?@U3ca```so%*Cb8VJ3nzw~knnxwUUv=P?B(Jh2&SJc)_Y!TP#@K?!Kn@6Wc
za^8d6(QpzVZqx}zbCLr~E!wX{qd*4+Zp1EyaP1f2*Fd-yKbZ!LtC{VrHDM>I2s0T?
zHr2lG3}>4$rmn{Ll6>Cfy98disj1eJLbVUUzyZ`ys8-;`S|XeC_?s%LlgM|BFl*BG
zV!>A09gzRDal2&3CRG?=25uKYCvML&ahp8>>x&FZWlLe;MBMU8j|Wy+UJP;<f~+dc
z(%&{(kEk;5%GpBev(nMZCOkf`%IYLmJqeHa#Zni6BMeWw!y+}MrcOJy2W-FYe7T(!
zI>xvUR>BDe%8-2O=(E(6f9mK(!lAGAp9=dy?dqD0Z>^N!FFeR=UIAt2;o@`+BQ@sp
zd7JP=a#GkTIg*4^Y@hI{IDyo_>Yo~Av~x~JlRO~5>Xh$tVsdbEi?15tCyNhQ^|lC+
zqC`;q!v^^}XSgWU_67nk+_bW4Ys0_+)X=se@M3H5g+Oz)Li*cY;CrhqP~x9QZJ9H9
zca@nx-Zj(~0s`45qp*v?mE}(4r@(Xp<>P60oD|OrVyFq(?qCp5Q7%;FDr%yH3I!F#
z4ylrLKOLd?<oPX{(~$>29}+sU)CbV#wNi!Ye`_?84*P8q*UIzTUt^~d>)*%>e!9vd
zb?x>|%}vu|@EYBa_77v4>IJl8S_4D$++^#}uqFdS)7jk;=ux(3Nzx%Mx=gynGu!@@
z<tYd5Q0x>>LNkm*4CUxb&?06NO(Np46QTjEx|3Lwb34j$<%A^$IJ&%@I=n?pCNTi7
zJY=H13IW6)-m1WjrmE-gmi!Lp@D{&|!`n@;DsgyAf6dO}?Kv`w0}|K4>j&Q-{yjW8
z)@ZF#e@yDX21KIP<f>xuO(%mapJ|^~eHfeya}6<#eq`}kQ!{l`2P;8=6mC5*$?1JX
z_^g33f-`cN3h9XKX-aTZMh&G*i(hOpx)w-cnu1|9W*)k}PWNhmY_1);mY@m`I*ok&
z9+N)e(AE6OM%K-G+35$aIm)uP<1hqAPBJStvsj$BI|kGT*xAkKjGt8byt%T-w!)xY
zjboRvDsul2y!1Wq*oNZRua+d><JikYmK)whYHr$s4|HL2nNT%Kt$;qz_DOVm&5hZ8
z2uN@CxoDOUM#y}{`#)&BSBqV1JC(Ov|2+kr%INt9cIuPD6^L3JcI%OOjKJoMWs?SP
zP#}7>h(9YG{_IfCN4DM)?5kO(U1j3l?8hl6AuH#H&?C~!Mbt%FIsZaU%QH+9&D=$A
zi{1V}fE2|SV5fMB8>+o%;EIo$N@UvZ9}Sdg+NQ+TAq59xI@+lHd!({Hc%U%J-T*`i
z8HwC`mbX(zE#fVS-1$D`i36&PM5P<zjasF}H4QyR?J|HBt}MxmA~Owhd(C>_bUecr
z!mNEE{<SmyMt{wYS-TG2bL=n?QKulD*nvF@V02)}uJl-ExG-sl3%iFh3w30y->}ve
z((J-aqrYvz83saxjafb+ZlmtozHP3Vw0UyHDndXpS#K8$fwW`T8E&2i&b`ScatO8E
z=zrTdzDDE8X9KgzK3kw`!tKd7@iTF0ZDJ;0iWhz{S;S6jOIFqIafS=KPo}EQx|z=Q
zmxNV&;s`Q?b*qz3H0>GR)P}0LOef0aD4Rm$5U*P4L?V4H5b*Kkwtcl5NG^o3Q*+zC
z6p06!Kjgzhj`Qpi7_F;**FJvDs*;8zG02M<koe@in7z(}2ZW(&hvB^BE{p%8))d(<
zaf;sT7jh=GH``ola*^^+=DzMF6#l;)g?WXocbwONoDq0lurAW&>EUHKx|o8}4v<d*
zs03FKt{c^BlhYePk;6ZG&@-%WLOTPBC_&1TRKlxjh<*GhA9c2z$jMc;3rAtNR(%xm
zrQlq$+3JBShS(fl$QXwNDm<Ws%dMm1!h+GR=3E9b=bk?b?)iNx_hi4r9-^vMPN8Zp
zqnX<zy+-pV4J=vgd%WG=Raib(Zp5zGsZR+e?u^C4R)*tvqGSz`%0yR9(TK+*YGg2^
zcphe$tZivd*EZMTDOk#uoATx`=`CKl#mWS*S9e(S>a;`gQzV3TDAbYk(_x@MCKG-#
z_vH>VnT~gc;|U@&nT{p!!cEOBJjL6}PJn>}s3BiV<E3zDT0l$S(A3jzMG|*tinr7H
zfs%LU&UZPF*G4|$fhCAWUt6App^!xSj5|@&@(@8}Fz5;x&g952Ul^f*N$eCa(}pPo
z*J8-!$q6Ap_GWKLfrJqJT0#X6u|zOJoP=POyviw8+E;D-Y$v)VsEiVgJ&#j<4#3)G
zPMYw$aLGS`f00X0f6b0deirP_qu@$6y5*Oz?Z7Wruyo*@uk)CYYS@0VH3rDmSWPcu
zz=O%>x2DB4z_HOuO0K;`=1!3hX*%vZs&SNeng5^}o_5l&0^!0^$Gh-f(tX?So5L=A
zj*6lmzh4N=9+#eP>v;D&83QXCSijk1cvzz{*~|YA=$hc=KgQ3*dHG@{pO=qcOfGV~
ze0<nNAi)!mrH?i?cDUIdF05Eh6QRV*r+K1puPgu%+;A-G<@3k^0zJMkzXZ@;aDrkA
z_{(1W)7izdH>*lvuy0nOI#FOOqJP+s9K}OY;bxTpFuXab*oM41`T((ZnEI-@429(S
zDEkgFWHA)7dq8n|*b-YhlsS*Zhv{7>uqDkC&6Z~qTW0n>NvInxLbMBvg5spzhgpc(
zdy--%*DV0yUkK^;4q~R*X{sTHrs)hX@VuhLi&5~K@bU&0;26Ak9*RSZSxV5RQusFO
zElx+9;X8l^d_NCo+h#A}<D)DDkp%2G;wM<HTsz2!pHJNL&e^@70=gRU>t)O}9rhE7
zhhkQrmzyFV_B;9lY1CTLgrO$Aj)r--V;FS!|JeHyFv*G{e_)0Ih7k}&(WbEgfd=Q`
z5M>4(L~cPq4pFYArn`E&A3fb;S2r*!f(Ncjc@OJ?DC@B*3n(I9i-_Qb_pySa>jAnd
zDk`Xdb-n%(k;lt3UgoRnneOj%zxAW1ULKLZjEIbk$jrdYQA15gry;ygrDL#eb*<@(
zZ{Xbb6<<qc0p&WJCpI6=#h2yiU@l7kVc)6f&x0rF(4n{DqUIDib-=OLp41LJwoD1)
zj|7N6$OW<ZKGqN(w35b6;6Zyhhf?K1`wdp=my2ul(TkG}8`wytbj)}YU1yLakG@O%
z!FdWERj^2wH{_#LlGWk&#Ust}b}Q&ovutXq?ycYS9Fd~i<|<o9+p5-7blQLPMI5x}
zT3Y}OMO<t6$y^6q9c*8PFrK#rmqfrA-py$)PBQvMq-*VQL|(k8X`p1e)^>-6BhZj*
zP2=LZ);w4uuC+k9mGxOhPk*P2MnFBfRFw-&%;~m8#S|D$H<YVHpU|(UXwRH(XJ#>%
zyg6_>R!Ua`18Cx6D2DVb91;dWH#GyqO-R1?Q|4NFg>rV&>%e4==8T#ge694!M09#Q
znVE;IUYRpIrQ2VQmC`45JDk)3*b0bQ8*r5zY!ns-woq?PCe74P#eq;Q@v5!tmeWyh
zf!0WOZ#m#>Wbg~8y2IO_4?4Bd)Na<GXg8ELCifngJEm&QwUO|NkHXMg$TeBa&i1an
z*~$`1_hu_wTXS&0n@vo_c(d`l@MixU{~~WT{l$8-*#VKKeTP>mrYiQrKhZ5=*BU4;
zfb0#Ot?31~(AhWqEJ*u<CXN1bNgG|FFsuC--_b`-PKmTnlM^Se$JZJ_Ws5iUAk?1d
zF^5YWs}hSY_xrPb>M*9=Mi=ODG1oRu^qU%h`~dP1VC_af2CYeaX>ELF-9&p;LyWRH
zel{wsbHUG!J7lHT$}0nl1PE%CQvcLz5E+;|T&*TM<j6G*OzFI$NA(u#TAg>!HBY*a
zseDcECHnqL^0gm@U3vu@-F}Tz2;G6v*Nk3aog7sdUjmDMiE*(THiKel9Ch3|G*00@
z3VpKadQt^l*Nna`NZ0ElbQM-|hC}P}Fu^@wA57de)|f18J-oNLEUc!^{K*F42o?m^
zdH!^$ni0b|neT~<VThhWF%0}-Dw-~17%iu{_;PAlI{ZmRKZbGmc64r9rFu9Coimu`
zp-G6^ohD2{4491g#mm@%v+)ala)1Uaez7&_amAPNUp7l_<Y}o9!4M?c%XdJl7czpe
zlBU6yz}@+UCnSg4$SP{E`rr0&Z{&x20vwrdn#7_Zw;Fx~ez{H%YP+oCPhj54_ryt{
z=qbc#_$4lZJJ`##fGM!;*jANuZ2NCGt=qC;!jdkKWnWgLA|{ky34t7s-u#56n2igF
zo&xBEHf0a9{nSH7^iv;|c<g5Dx7u7{&tn2Aw(zn_k>}M6rP$9C{db5Bdy@GO{HP@}
zCNHj1<W4w|fx3dHq=rfqAlayzOrxT-mP)KHE`z!uv#qRLYz@5IlPC{>b3?HV1ytOa
zl|~{(54Mp40tO?K_~rt<HUirTk#%X+`KkLKtakiFdwpwYdU8tcxXwSPakgs5H%!kL
z(lG!`v5oAsRCeW0z&xirvt4S0&e5v<uILmi(w%B6Pz+*+!fbw8Hw~BLA+BvY<FJK(
zVDu}(i48fgmIXG^IHh+08s|bQ?x7BoQ#*^MS|h`gLmNlGYpnqnK)ud3@C_3hZdCj9
zkV6WCNE=^0`lI3$B=|mJsL}g7-9aI2y8d~xH6)2az9Sdgf-M@xp@hx?;OmV%U-l`!
z4Dh|nZI>g;shhNa!NP_op&k#toJMBXP2r(8LcOkdD6|WeoKakYL)+a(eoN!fgLw4L
zR|lmc4M#Eh&6b}d@q>9SW2lE70~ajBb5S$+)~C8qL8(KH8EmX+O<&Y%O*D=aUKbr;
zt>1vQeTxquWqrksl0fAuicb>a1_?XolSBp4f9mlQW7A`BfZ&DtCJO<N7ZXyzuU)^y
z{*waxPvl}>+=?|s<hvYOAo5)u>)P(QO}NanW*nb<5z4^$MN>-a$k%hoRH2ctV5NR#
z5TK*Nzc`ZrPVQ4m--;0&#~psFIiX&!fXgJpd%0qGtc^nq2Ek3Aj6}fv$%f#U$q?vx
zgRz)_<fz*vKZAxy$NLW+;wMwpmSzXc0!&e62z-lc?B-a(Rw3}e5qa^V<_ez`0^bU#
zi9kcH7mbS-0{38vgunyk_NZnIJ<Xkj!k{kQUaA&@zTzhpkRo%)S3vKhqWmkMhfA+U
zgMzmM`_UaMxjx{U(uU_hG0ijx!BBI2h+dh4-*t3CxB%=oKecB>%7Om3Mu+sk%4Cj;
z%(N1ML!hCE5a6c_A)sifq&l=qKgnq>&e=E(@*KzsL|(k8DFnqXP&j1NlGSUc1Sn2{
zvJq%V2m~&coEMkw0)Pkw?L}Tk>WnVb$@`2>+)!w{ekZv9cAN7iI3mu0a!<-(bIrP)
ztZE?QZqL;seh@&!ZIL_?XPZ>7X#OBUamf2oxY)Y!QPaLg0$w5V*ncshRrwO1vM`is
zSUWn}RZ{j+b;)ghLq8Fco|N5d#Lw?-y?f^koe7{GVi=8*M7Q->Ov?T_Ry_H;NO$VG
z^EP2G#3SvvpObgpjv_c8o$E)H$!)){@d`y!S*Pf|q#~R<2=P$CFZrIhP=V+v<od)f
z=Gtlp>*%x$tu+4e_rUdqE#GE0mbhH9p*sKi0vgd~Qg-EQ#Aw~$2vWP>ggJ=oUdQKp
zcc6V!sjA}A=UNI=@ht?}zer=8TJ<3gonqa87BCk5STP0;<b8kyZfR2>$m<0m5K6#{
z+W?rJIG%-%5R<Z3Yj#-t@HIy{E9CFF9VZC9T401SzUdyMQkRxn4_eapOmPZwMPG4J
zGIJmR=(xFMuAPzzIq}`46VA=hl${`l3;KTcGXo9fV5>YH=VK+!W*{{IkB8v|+=NNl
zFHRng-klteRfH=ZjYpZ3eHwm^Y~1jZxw!D&3zdak%7^-=W^&qZzSe2dR`sSTMiS-b
z?KMPVyr{W(%kp5n9vY6oLz_2^jko3TpowgG0_D<@tZUfPld`*gl}bA7)Q02&6~N*g
z$n6M9LgIGhTq;`au1tIn<1T2<<ia=~Ai45r{%5gLy5J_~Oc%TM)Z*nNrq+N(;NG0^
z(xLo&2yh-3IgN-*kEb#7Q2rlthNq_U_gE=?I(6#vi0!Mt>j@&|wB+rnoMvjA;+;TT
zqPr-Nl-<_Kq;|FiIyeIj_?+f_>*{h!d=bE`d1sY}I-jl<aOF*4E72KnWu@uK44eTc
zJel+9_+1<VKO6uM=hNvg_YinNTmH?Nl-;vr8{+J=c6X#FW%ru$QhV3-c04Cwaoc&p
zH+@p}=OxRc+^*31@zZs!`IRWsK7#FLUzZk@`?IaQ*6N{$92vaRsD!N;!DeWmYaPAb
zv`N`7VaLKc1U5ibPIs!!tvrM^L&a^6(rhGUzq0;_-Y7^+J(2n@z9-JjBzg+DnedBg
zgV}DT+DX|z?lc=WVXOt0bvTKqbd#MSA0~7|W5zGmnC%&eKV$KAr=mS7_FyJY4Q$f_
zPNu*!7WcChn7b?n*Q94GI6spZjBOLJvdi-yY`#;U4*CZ>e)i~nB@Ncm`^r<MkG$4q
zB8L}hoH7*z+Nhc{8dPxA#ihqHxDr^eD4UtFBIdPO#9pKhVBs)_!7!#Bfwi(_C5!!1
zAS7j(kUr25EG4GJ$-r+t^?~kDX_2XiR_2$TLvFw4Na^G~wb{wlrInOjPjhH-CUR$A
zaYizeijCNOOv-+$9OEW&y%srusxALotkf^<(a0Ms`G?ImS5o%NlOfRl$dj>(=dOJz
z{2FoB;wRH!ag7D*5Q@yiB84WD4d!a6IeY0cbv63kq^tHVL|(k8sn)Yxwbwwy5opL~
zB5<*W$R=g~P@U09@Es$}>NG7W`={&l{;3RXiw{8IM5k2oSty%{EuWPAdv%7F0&Yc8
z_FvWM_W`KHnF1!uX2JUFd|26}><j<hmhZTf83HL$4V>D-FP6H9gfIf-Qd6w!r8Orh
zyW3xBXT`!8FR7S8ghL+3d=VApk7LfEr0fSKPkBUsRg`ZTG!$7j@RP*{ta__V%6^Q~
zToRWaN#w<g)|SEJpy3EKv}_1mYz<zKl>NLq1C;pl(9%v`t;m6G{bZe<$9o2?=MX4f
zkc4jN$f(D35#<vo*F`?{QXh5E2<#ACs;X7g{uQ&}sVKHdb)59#1jQ!<e`ro827rcz
zj_g%Z_77)qt&HE^jFl>^f8*dqQtosSyG<!t@<~c*V2ID<jFDn@pH5&1IdzCdkEbp(
zX8V(z;i(PWeOM`d3Qea`wqNPb$pqG2Nh~)Lx1#)kW-Gpwfus`yJX~E)1#c0_EC%3}
zhdc_dTmb38TjjXXvl<BA(!PTU-r{!=yj}VZ_=_GFqrYY+cv~+iyBBL!8FDvdC1v-T
zv2v%^4%hYvoP$m_@tR55kA^8RO~E)9n?ctjbgem<U7Mc+=j|&q1G}`t%%AkKK&M4c
z*Tc>axR#I=r(rWhNBP2<kq+`Pop4h2HEi#ucP2blWxu7eD4qt5_SBDE!K$bW=Vns&
z3br9X_G&o=ydQht*-y&;5+tOrcyTgIh&5;~CS^~-eS^lm-m&4tbBAxtfm0bhuft0H
zQn(^sYr}4>lN()_v703+`#W<WAuH!vsKGhcaNi@%T!b#s%DIAyR-Z7<G;=?dGdwlp
zw_&C988=kB;|zdpa>xyTcQR3?X`AC)caySTh&}4S1G!1Q0Y6ntBTe^LtIMhBM%=Qd
zyIiLNen531QR#+sqgH8gJ%<6K_QyagpOhU-2(xy(cPg`%{+b=LHajW1r&r4xm+48_
zy+%Y<@Y;s#vVb8A>1lhElzmT_h`2G!ABfvs*ZpTwc6eh8p4XZbFCaV5QLWTCg=}E<
zu+Je-6{64fp{n@p$z%DRxMOXir_d2E{9>|*eXK28RiEoL7vDaas=6Xw8)j48n0&6~
z`Gl(7al$mjb*pon=)gexfz3uCj}w)0R2+cd1TIjPPVc~a7;u8WvKJtGuIx}!cJ6H3
z%Mx*r=Z8W#l$aNfgVuVw?|MvFv#LWwax!Qa(<kxdcQN6->vE4A{-}4$#SPd+U-6%^
zC$%=)TxxQW+Mmpmr0nl4AuJyRo68x`<-E;h5=-v6RdCP8bGfJZ7}gLEYn3xpZ_8+A
zU{{WzQ<_svxX00&YCDVKS8^y-+lVh>rG6!txH9^0YZ)8I&6kw@{^ZeVFZq996}_QQ
zA?Y8$uaS^6elpkPE>AN3(P@rVJnAIV?}@y4QF95;*=-enhK3{1&|XX9;$1rRV2K1x
z1Lg9Pt83xQPs;B0U9NJ0T^sEgzgGdY;UYjGN!&Ajo{Cnx2ojw^2ffSY$T(jhxiW~k
z0xPA<G<TR>+9$Az9+^W40sIW8QL%Yfn{uQ$3t)D7)uvo&U$yYFmFSwFGD<Xhflc`m
zpp{F?j^D+Wd>#HpktX_UcDCg8lCpbS>T+M6o|N5dWO<qDyY}Y%_<#win%z`M*<T40
zXRZUb)bU&Rm+89yOv=8|c@@b@3@Pmy>o>gsP^9Z^8p`Zl{#8&lW0!wD-_to;;XY|^
z@JQ?n|J(0e+|Lvz!;hdBMNgq!K7KK|$l2vnE)fDDumPoyHX3(0&Dl(8QfHb76}x=u
zCwZ5D8=-1<%<l4eaA1N`Z&v+)9Xxxps*(o#W>r;E_TTc9)VNtC2#haIjw|HKz$BQn
zuZl}oNU4vCjYzuh3h6E>`;PCnx!mRslduf7q_;Se*>Zaz!4vj)T8}+hirIUTq9=D-
z0Ky-5)$9Pan|i?Hy=oT3MWil3ePz5)PU`kZmf#dz0!i7C21^Orj@S5Y)-#-nHeYo?
z4eb2_3OC^KTgy_AIDuVz{KO<yYX|A^3yFJKxwr&WKu<k>eT=!bapuY`w%BqD{6BHv
zLTVuL|6MBeDDVHPn_gWS7j>)amA7~;GC^N)MKUiaAL4w<&i*PnI+%;nk;rCVm-w<}
zN)WFRAYPpdVsRDL5U#Y6#!cW#dw&k4YTJE1R_a$gjw=%DN}Ge(**~2;Z0$&TC06l#
zY`4R&5g!|VG8Y6_8QXUvjCU@>+1bD2G-odprjkaRUEUVFo5+h7H7%7aAKQ1K;RrP3
zW7D{JJ~j`Qh>tB$u8YL#T130d&hAoGt~fF8+b1ff0B1`c&_TIMbPm0biuTO=_Nf1`
zc{R>4NUrq0?Sz%m)j&q#ba4VJy+S#=>2+YOdt%P0$<wz7)JXL7Av!&t%*@kP&&(N~
zn$*LwQu?IU%+7vhGHIrUDjo!`PrP&MW@oq6H|eO;Xohfu;AUsXFP!QQ?}OGkwc<il
zdr-73;`DAgCO3zGJEm&Qbqe7VABCa0kZZD-o$Xz@wUs55?$%bew&vh~Tbr1Oxj=#6
zg<JdGFe>5JroULXHaj44xvSiMK$}hrZPywQi812Y*>`~_m<4Gc)TGg0E@{2U&VC%E
zpqn~zaxMJ7N+K|;+1dU6>Skv@%x`L--D(Z5YK%=xL)P^JmNuqZYas=DYie+4a%N&$
zeK_!tn#tI|2-9IIjJVL4mjynjYt6m<U_OMKFB$v28mEwZoKMDHVqAO&n{h6r>>L`W
zFh4?{w4p(Mq@PvL#U*18(PbxP*f)`7WpbjG;H6i|F*}d2>dF#U!u5q%LS-=%|F8%5
zH+FEWGyKm`)pJwEPaban9!_{z2bkyym+*#jMg+f@5^2XI7JwoUgZDjT^v%X%50*l6
z?`5s*>@#}Qjpg}`C3EhF-d&?J0sj~(8NrCv?6}!r1V1xCgB6U}@&Lt(@RyDKDLf4|
z!VrQqd+9ajP{kGG3zmNn+-%9$uCetaBx*a@h1E#ipY36f@x$gathb0?k`Mk~#P`I7
z1Vv9FM#C>X6TjCwjm1~j*$}^16P$LRtoZS$WQgB?vg2mOuaX8!{I)vq5XF`Fr_G6<
z;Hjt~fP%P80jw@A<A9-+wX9s+0pi?~zyO#4Hxv(`a*#fMVPBBX|I>2y;eGziF7kK_
zlibYS?OQVG*}Ly^=D74#b`Dcnl5>)5OX>tul{veAh2042>Y)7Q9KQUuL$fWRshPTe
z0j;=;tGO7&GIjq6>SbnG{yq|XAF&K%>aGI-a@wtPF`KZ@dnyGDauzwrBl)=*&eQq1
z{npQSIcw+lYR;;*+aHaEyUx$O6SPu?b9RS%U2#rmfRZzc#W*yP{6`~i#=lj5ZWs1a
zL5BU<{btKQKt>jspvoxP)0LB81oCt@$6;?h(VQN;uqDsiH6}+IYnzZRnsRr~OpLu?
zrq!65ya>{)!UkL?>F%->y>b;#Lm>K!RrsIiRGWg12+qk&-9Gm#*$U3XiA<*MQFQ5y
zPp*ak&zqLsHd@Zo31XIx&z+^>IIJP!r6mf1cxiQn#K_<+mnP#EO)2g7&&?rIIn>X>
zO8wIL5V^3P|IF&<%ISS^G6dR7Z7h2rW9o9kG&B?moZ=@_W=mrPW&x~+%)seuo#t#i
z!BGJ!aQYe|FJ9E#Xk-OWUk?pOprN3I#>ESqday(Sr-5<_X}UG1C+75ad#PGLAQx5z
zq{tld5y=TE%0D7`Fgmar1K`M^Y~J**nYKvc4R@Ry$DMd$W3<^G9h+F&7@3(EnjV{+
zAgf`(&f{I_2>TomW3pqMDI)W#SpH5L73`M%H1_z(?1N|d(t8Ex@z9f{Cy&(B_ngM!
z1S90~q`-HGxOh>M;fr@d;lwyx@qH*80frb}qvA2V2TFwD1LgKkV+V~}C$R!p6mD<T
zjDLFtw3&>5ob663MPOoP-I~@E8d|DEyD`>ov|cdN9LLo52c4&W7g3LpG`LPFxg@$j
zYv73C9`!z(d*fUbVFV>1J3>Q|MFBtcOhN{n#^MAU60$cD7cW{{LiUG-BfyY^XjD82
z@j!`4NTA#S+1#S%ypvxS<i@3;T5gt90Pe{R+oXEZ^MV9vl;?5KbW4nCpPA6Ad=^mI
zt17BpJ45_gP71O88k9v0UaA`z8*feFTX^(GTmLmUDIS?v?(ZpT=S}mQ;`63?!#`g|
zt%P+qFxpZ-be>b$_@>XB_R3`4VTO8Nrfbcwd?IjuV)PAqKHLOpYIU#~(J@D^)I$$P
zZ@DOG30tudo1r@$n=x<N_3T*KsK9%nD(5b8qE7Fk;<KMO?bG!~bh{wYzUL4R^L~Tx
ziHkFdo<eaZ{9>8~c9^$z-n5@N%_gq;Y`|B%c4I|+acd0EUTqLA_KiB4a4W2rKPGfT
zW5zGmnC%&e-!%EVQ_&t38))aL0VUzb(Zy|RZ8eakxYKnu={5!CUfi;#Y+RFWnp8t;
zTMMl0^8A+((ObrjpN;5M(qKjOxU23o6NmGZ)QIW{0&P^y84W79>f-8lpXOa-C3wAg
z=B2Cmt<PiOFo(e~W@_FvjyKN&LQ<9qbqgv0ONnW534HEJuv0{>Zs_b$X_2WXkmi@2
zBW`L*FhQNYU)em$C@ljW+4;|;m6TmitIpzb<j%h0<;hG6TO$f)T({zkHoTv+;@M}O
zb<oO#SHO;-Xs<9MuPa7c&FPt`*5I0{=ETsb{Y`Hmup(_G^acXftl`O__B2Ivz~f-H
zska+}jR!`&MWD#rC5WiiWpa$5R4;=Yb<Q+YyYsUi68g6sK$S!PN~{DY<dIo+@0mk?
zbLCC@P%;GCMR5sM5pitXf<Gjl2lxQ|8u8uWC(~eYjRnV{PY?1*p$R?MdY98&+=wu|
zH=iZ);zdohp5@U0A~YO<hP*cd7i)-Y-n9Gbj81~@7-3eYX?fEgs?+<gGq5eb4~0{G
z$G?NJnb`7q)3*Chn-k;wV6aXKxD|QR9$%;5$3i8}6fjvf3)bDB;Y?WBylDs38J$EG
zj_$fQRq%_YE+SsdK)G4Xo96ac+F9W<6Me-E6@r0GCPQA=QBgkRHHY%14JJ={gwfQp
zaW*k|FerwfEIwe>TV>v~X{Wg)*?$3%7cW{{1}}t$Bhb*YA#kxZctzf{PMrZt{CQ~0
zCuHGna^L}px7F$S>YhRCIRuJplh8%yimQA)ri&<_K)Ehbo@rCR(?uh&LvX38R#DHZ
zm<3Nou}!KV%X<<OpA52~Ih`0}d6UqQy~>;R<1DU~m!5xwl`5=%<86tg^k(8jY)a9R
zPf|()L;OBxjC95Mp#+AIQ-@gec<M5*IPZMDy+p(nHS)2X!X2?v`V@BMSK2q3z`83*
zIB%N0N23*GFCc|8CjlX1fJSvW^<V)anZ*FS@{j>i<pNLvQnnIZt-X}>f}wRbAPi*Y
z+Ar=)#NFDnU{vDTFa71-tt}{m*)M`wwS%{{@}~LDw_17A{AS{L({jSK{S^&^o~xNR
ztqoIRnu2jTH-oN|y4Kvwn^pmpb4}Guk|sSP=1+QAAlLrO^sw^-t|er}OR*WEBP(y(
z8`$1WPkMN&%6?0^FA8Y1r+(}TRz+PnC-bINu?_jL$K@38e(X(<H|+)_1o9FjvxHcK
z=3w5mB;4Ptaj)mQPJAl+_8d5s(enwc)GviA;<YyH)_ImU?dv&^kd^Zls8L}JDJut|
zOSE!6PDQJu6q#o3uXBc{X8e~}DSgJXlkqIL0oqTxT4S2FIlgr_Z`!+YL^|+5M(sZc
z@VGgkjM~3ems8V?xMfXuxlRTAfa)z9r5n<XTBXJH90uO9c_hpMpEnIl2($L7_!m9W
zPJhjgS(}?T&DX2t`|Qbi)BHvPdDC(X*=6Atdz3fr6jpHfN7ql(b^n<+jmw+1R^t@1
zf!V`8Lr@i>&-S6J__4Mbz9;Tjo9HQY#0$Tey460`maVF<aGHzjOH)->yr}NyP2<kB
z{0pIKcbqT{aoy@1CmIa2AJ}ZDylJHz73U#1bg<MqPGp>*a-8EZVIe2@ExiEQb7hC}
zrg1pml!${oKNP~D#Jo5bTI=b)>oH-?stygw$)H`#@e)sd7ZXm6CilqUk9xOUd>6au
zE50LpQfsr#r6w1t{mDGZn|5~zVR?ROE+-|E^EQ`BEV<_a!973A<(}fFSVLT1E@!CT
zmNDzN(_eBZRojR^VWoa0n7A^sk3Da`ylFe#2!tl>M|9lvzj17OL!m;_OQ501NhbVc
z_R-}@roEl!SjD4mYVJwo#fzFtc+PIC*cTd(Ktp>ijf)pF^<aqvO#|gNS>80a?{bw3
z?Apjhuw4bvuo$R4BMM34p79S<wAw|G=nOhPi-lwa>|CsrF4Kl7<e5HY-n19wP(lDt
zqyvl;X93JkuiBI=?W-1kwh~2}lu@G53v9|)0j*r#H2f~M<Zs2lXiH9i&CZs*R^Bw<
zOe^>0$$8WKMq+u>ayIA3GtF+QylJ<<#F^`Wt&RCD{7t&<Kl7$_nK$iA8p`Zl{^y};
z#xDO}z9(*%FM0~?^6`twMb0iiH*eZ+oaSt%G`BIPiBPf2_w%N4yU$+|s&>chE}sVn
zCMY#;+LHI%SUNQPeF1J{oy2wz!H=;0tE9ocSyh!cZFioM8aJy1f$_!3afN(3FbU?+
zRdIQ<s?<ltoybAHE2O);X-{YIFbT_GOFwTK$CfLB1W(xGdDBi|DQ53Uik{qU0SJE}
zZ`yfmH}!z=^QL9v63?6V0+!$uTmla@BVv{kv>mVU+pI5lDmoI+sbo1z5o%!Xm*(-i
zlBFPV0=xG3iNREB2kG$(iF;YOxE@qMPd$EpjJc-WenRn(+wVryLE>>i<`Q1rd}q?Z
zRJVHR{J9n9zOVRrG7Biz;e1M$_7OQckciTM$fiP*__Ae65Wgruyek*P;`3NTc+g53
zH-QK3e{v{Q9<+P0QomeWtB+pH!E|X4B@bKsk8Z&#o@?zv_%-5M!%yZq;Ob!eDnw<v
zv_&7Vo3mF3Q#Yd<M?QkK04i~ZLQDfC%eA&GG#r73Tx%K^&$Z^k5^=2s%FTgvX)aae
zLKAbk{en1zpDlU(9OWv}Cv*=L?U~c<h%DxkPPf%qDP0X@WHJ-?2huBO1>8xm18d!>
zIin^A-^oyelPAN2is<xsGBXcZt<M>r((UW8Qu?IUOqX_fGHIrUD*B*W;#FHWU7D@F
zNk_dDS|i=<rAxyvoazp5f8OfUipzZMLD}ij*fF{Hz}zuaYp$0NKJif)%#K`>#q4bF
z%A2h$p>%Jyvb8k_2fW$DM9jSj{4TuN-^9Pjn@xYQ-fVV2<Y`wa6o59JxXG?HAl@O3
zr%QV$Jjy3X`=KU{{&Gp{MY^;z=t=V<@ilYx68fyBOY{4yn=b8mzo~(-_F!wGxn>-b
zrlAWEvZkTmYpHrtcW_;6dUO&#!V@6yZQqfZ@$r3YCQthlOpd8O;v!_;82G)eHTROI
z`G9V|<Z0X7#G%V4Pb)Dl7GX2at(2WZ;}ph7=#w@(=$6VZ6?AdW0*2_alcyb0i-F~f
zxK^sC$3|L`Wv!%Yi_5a~85TbCCmVn#u>i1M^L?SJ=g*8EQC!LQ#Cgg@PodxielexC
z%izVyPIGZ3U|9q9%W%#ETw;@Gy|@?4v33F>YImA21u<YU0vF@#z}Y9^_{jkp@&Xqx
z;VG#RxDW)|tG2oIR*?vqX>Bi>1pCd)-Q*kY!38HIgFDz2lpMN0+p_o;e&}4bwKof*
zZLf7)7XO3qiIYXqQ;6m8OI#Mo3MR*#@74~4C2n;ZvxUN(zH~|S!xAw;{3yX`_sI$(
zk4lCheuo`5D~OdeSc14nSWAjC)jw^H`~^=<4Pg{SW(s3<aT!GnEy-o&;x}Ne^(3qS
zw!;m@W06V36-{ZFQ0U+xX%fONl?fdT*Uh>HW^k)HA&h%7@tSW1r6*q7@q@PHmR`@!
z>g>d87J-7j%G_&@$DV|7c1ZGTeP)Z!v(CFYl-nYkntp9pXod3-#nP|s1NAbKXl;)K
z-$%Ry>DOvvfLu2xGqCwgsIo*Mi;>?Zl7Wq3L7jokZ{5ql_6&qK)%brV7LK0PO=X_d
zG%}m<to3QpRBHsDsoXgFU2Ca25$bitJfYo<<c#7_9GZB`QX?PAz~;hUD$B5Iyx(kj
ziNp`)wG7NHI|eeZ4NXprjIEs!?{bRQ{u`K)Z6=m+Ewh$hrHTS+=qpAgDaz{<pAJN5
zPG(s1xm(Fj5a<0O8P;5g+d8XVMvW5R4Fcbba`7!L#2O+vTGAf~j#h_5j7(@!w2fah
zrL>*DB8N=nJ%1He>Q_rRZfX6y1@k92+Ix~A(4jzMO#<mq7ZBbF4Uxw76Gh=CQ*oB|
z0?Yzv-^?iKtxj{S@Tw^3$B4XmQB&7uMM-aih9l5W1VZEDMM*taB2m&nxmn1K=Jryh
z+WU%YD<DPYkPk&(Lq++AB2TvWz>NX$(o&W*c*hwsKu&MKbWrW}t)a1z4U~jaB}x-s
z-NwM4=+E7=@#4mwqwrtp*R}Jexf^P!Al#pAE%AFG-eli66GiwyiO6pW1=tJwB7&dH
zK6nu+H^;#<dfVM>Hx?%tr$`<nSOk?=qjo#8OV%~VCN>sd2XYgGbj9}2a0D0<5RHl_
zARZ_Y0SS~lJe6tgzw8=hoBJ<&8!!(116T+CHUev%r=~XL@n2uzQdTWg4-${?GiC`D
z+oXEh@T!DX<pBj;-V(!nmnXC;pGQ+`x-z(GKS9<-{wUvKs+~W|Z_0Zae$h$O8=Gi7
zE(3eh8~*vu8}VlTsLIASeg3Gm$r{Csb`9xT^DD1H5AsJ{sD~c9<iX#yDPb#Suo*hr
zz8UjJb=a}6e$H1xRc=vneCe;C;<hjS@nUnhs)0{8fR4tOd?9$NU-uobV>pXMaqXv+
z|Fl>1ch?`$zY7vmJ?A&`J#n6M(NoBCj$ce;!A78V{;0d0X5)*HX)IS<#ql59!0m&X
zKT7#UF@Mx&2;I<_@ryNPdj{es?tkc1v`59B|L3WJ&5j?M2)(iK5KDpO`!Q`SJ4%>z
z;=USM+ge~{m*>BX7{v}BvZv0O0q&MlB@I@Lg1hod`~3z_Nsah~AkaqDoYA0yt1d3%
z6Ty|hdhn&IcYY6N;V_4hF7PHnRuG%x&BK6@lx0HR1_{AZVp^OB^462Ejc~g|{-{ce
zOx+2YUv>_~pU#)s3Dg-Af6C4SC3n`@_4Gnrj39UR6~oC)ipDm&YUf}6sHPkvDAn1|
zAGIL|Q04Tz5G(addo*$#B;V<|x$;MCOol)^F3!U$A`pj86PZ8i4e)Ek>4~3AgT*x#
z9H(bh{;2Dm=Ilk()YXPh=RHJTyr`+xvz(sSL&Fhh$fqN4v4+UzkGiwY=p^`#5oUFo
zmOtv7b$b6=2DZf~p>V3d>|0Pa6I(ui)Gz7`F9qC+{84|Y)9;_45@!mSESm-E-|}H)
z^G7}E7F)jKQf3IGL^Y7Y1;1G8BI4@|l$+K3QEq>wofVGw_7$(Km_dX?dN5x@MftG6
z9LgW{jN~bg$gf&9o(2s?mJR%5@d2yeD)UF3;WU@TrKb{k@uIb5@Jwhp0u3!20vB6@
zSLBacS7(3{e;!)xVFGtVXj}i1Iz7LrXV7{Mf#R|xbkVtDgg0nk>@i(L`2@;!k@`uS
z`d#Laa;d6TQ7bEE!BbIelPbvaFA0iI23gRYP7JcNg^ui1{;1Dnajm=sdIwgju>OrR
zJxOVv#Hp*4q9vcCl!h(i-8o~VJD=Z7U<f&Nh((X5F7wXk?{bExHgLbiO6gN*x^ZYL
z@90X<B4!aiMWjx){jj};^?oI>I_FlDg+K~tPJ*Np18iAcPCc85NM<nruRLUcRJj0D
zfRwF7cMX-}M$c;C9whBMn0t`;U0gOi3;+=KAn7mnvZ07zZkGH}zVoeC{wTkhc>buI
zaBY7@!=UGC=8rl(S&Yn}>nXa{+{+(T0hM!8&rB92-HGN;w$2&S!_E)5mXH-|uo<Ew
zD}U4r*xpU=On9oweoMJ8PJl*x>c_5NRn&!ZGJjMR+mIjo*>VbaKlUcbAN5)!q_4Ol
znI*&;GzarXCE@-mje9-cb>fr3|DFS<GJ4*ImHMS{MZDIA-8#?mM}05{60&mM4>c;R
zA!X$tbct5Z)l{_lV0NaN`?Z|msTuz=R!X1o?4%?=NhZp4lH~Z--TYCPV~;xUKyH#B
z!A}*_NYnlO>T+tj5x1=AF4w7mA5cB+p>#vKQLD7Lp2L7q`!LYT=a0e?!mQo(Bg(9$
zzh=j*&CMU>>(%m|>g4=Uej|bWQ8|X}vT%z%${%$gOoZvzwD*Mkfw*P5?mzQKarvW;
z(>R4}VD_-jQBW14&-S6J_=WK2@;!0K+C)#GBVPE$WD)yVTehkmcbc;~&a}x*Ro&C$
zY@>v#-EqP+#C5B4oah;W_RWE*;_^6ADM!WO2o4=AwT=@RC#ZafPsj;=WiLSXT-l-g
zQQY~VHzwjB&ku!gC^0VvptYXvyB-tPtm@E^oDAB<>@V@;cQN4<QF4zQ{-}4$#jV%{
zJOV3wQfsr#r6w1t{mDGZAN7$E!t$EwTu#m;=WQ;NSaQ!71^3*Q%RR;Cv4(v8R?kqq
zEn`;xsQ<~KRBa>f#Y+83FmYw{?|2#;$IX{N>Y?P(X)pOLSVeCrR7m<k_%#xe#!u$D
z+~rB8MIW`BV-=6Oowfifaa$g93D4PW7286?5ol<yrE&3srXDPjplP7oCd(h?_Fb-W
zfn6Kz8Gk{1z|V<#%9e_<O%|`%5+=K^xQB{Xy9g4UK}Te<kb24%E2Yb{VG4Qi|1y8n
zsX3Goz$Zfuj+0@vRh#nFR5Sx%zNm~esr6AU{A?wPG%2G*qZine_W`Y3{wVw|w&X9y
zzv#tH`fGN!<hAlg`DR+VFHg=N<u?+`AC<E?4?K6No846TqppOBGuHuIN$^|vH|o0o
z%pcWd{-_%?l-axd_d(T+UH*UZJ#o8y(Nk!bk6%nKa(4N-`J=w>G-orVxs5SRgo<6h
zpFfJ*eSVoxwL4~a`8+r<L8<wp9%Kj4zW!E8gMG8ADu2{JcuH#AtP%vq7boT0kk2r_
zJ1`06?5pC^6;kS>;$29(?+WQIf7I?Dv$@>n4wJA9w)FEyacuc`Ai)#%c>bsZS&G?v
zlA<SfTL8izc&PDkwwrpu_zyK^;}Xvwbt+463NC?+O^BGK1Z~G_{5I>bQ_<$DE~tUM
zUz*47LY9KW3GCYACs?jpJ4laTNZiZHMF&(sPd$EpoE0d~SxCi0Zok(_^~t;a>L!4a
z4yL-*OXtruIQM<U)yXWNT!-^1f7Dy#=wL2N{~?<jO5)3wDM7qmfOuUlh{gM`hVY=3
zG;RV9+HE<MDi7L!VWob><G2v99<(`_KkA#w!`A+zE3t~_TKg*e8gZ@RCvzQeb+COE
zqB4Kf&z$D$)xp%w=w*-(KmCNrix)Kwlq}cU1JG~;8gi{^Ts+sB2TR1Y7AQ9d@<+K;
zl?zSG>Gq|HDKLCOC|8LGH9ks3d**c8^W!$J#yJMbl}@)OV5M|5kdfL++#g7<pcQal
z{-}d<MokXB1E5BtgAdW^@nmKmvU*O=@YJN9gq6}KwPyaPkz~?L4ORRVxIXc!t(!l}
zR^Ozf*3b;0A7j9IN*cd#syn>>d9hO~E=08lMY|zR@0Me7?}52vs@7bCgim}FhUP-9
z$zpc4cXh-}SwiXFY-MX}4i0#;iHVqd6Zl<tvp)o*65ee3i}hx+10qkmdJG<D)46Nx
zS_9(k#d!Xxufy|7g0xR*(&#Ujv>xP-I`-7bi%y$vPLH*x$A;S7WRQAV>g(>I9_!|i
zYK9t%XOWtr*Qf`FFk6<BU}^%MkPLjNnOo{!m^f3l#KlW`wMGlrmEEmtb>6+=jCO0P
zz2ezto^{a5gIB-<mPLDoiSUY%R&#o0sx`P~syQ(<YJY>`BV*%OU;Q;WDIVoszJ9|h
zc$yp@W*wVY+n5|_m~G;98c|RGrR#-&-hA1mey))UdC>XnQYFg8&#)Qi&dQ_1BNfI<
z_@g#V=<eMAtDud`FcqTB&M<XCnd`~n;C$w$C-w&H$NFY1@6?k2;zWY=wr>knJwIst
zXyfDgp17cg=qVKRz%QmmcNz3Jz-cb7AS^4weo?M|-l?U8sNHG86vTkZ2zWf39XK2C
z;3o%Y$P0K3@|4sFcnAXR)!y8)s|bb+cr2tzu*L6jQ7M+fY9)SKVwP49X4*g6y6Iwm
z%v{2$X+f>+=8g;DEBT%{Arw7@cn!bwPzbManzQA>oVi&M!ha(~?M_)C<blZ$!jH29
zXN9nmhCCts5>H7DAru65C4`TS7=s}ZTwIn_0%-nZi{DT9(Q@MVBVv~1<NXiwJ#peE
zdJ2gje(9n3ZF{TToGl5nE`AH4d)LduiXRV5hWPEx4xAOgN*eOS@2NZ`HN;O4m??hM
z#bwYxWFME6i?4&}-IFLF81gq1e}dM)`++yA<xYVjeczP!Js;^C>2<od(6%H!;oCXR
zM3-TTUMGB8i#>_mQq5#%w$2=LD7UplYR;|}wBic8rC}mDyV_7MGiTTHkl_1>d%92f
zHedVzBpJwL6ef$Ld}ElfUu7K(vbk7U%cO#@MTpaP<gdr#U8jA!f<|YvUkVFd1@*dO
zp|H~dH4~%+EH1~viNtRj|4`yL7yMFfhGSY*%g>hxS`qapaf#oiCNF{{?aHyJQ<7!X
z(Tbq>DE8l1d{~m9T*dLpKy>gW;dv!LL6rB2q<xD3oLaoZ_HzQ;&*WlTd>U(r(+nl$
zfzu4t@k=AUn-pu~7fmU7*S?cOrV4l6jg|Bwj=m)SC`10+$4@C;ag6~ya7wwZ@DIq>
z+7J#`%y`wBXs#J=tr#9_<9~%H4A@z%%yjJ%0rMvtg5M=WpkqkJnuPHj`S$T|prOdI
z2K;2I%+g+fSpdzOd8}dEPuR_|f~$@-Yz>vzHQUIwkaetKF*F>3hC+rK7w=eu2TSBw
zL!jI&Bz$vwsZ!~E#jj|_dGzJWt`AUA{$<yrO#f4c49K*gBHki*)empA#TF{1QpfgT
zNr|w3v}NLmWCn{&ypoBh6Vt)&*U#{VpL!@0&vlyPXGI?MIgQBki(a|a7I04s{%>?&
zI0(Dnxf?ByRX@~9jHnmSgR&8fNH{b=o^W{hM1&(yZdsMqv^hr4eJ8Ub*br{-)k3o>
zg1LekHL4{vY?JD((Vr%WqP(Vu%U5FD{hJA`%3EY=%~r;gaaQuVV;4538l`7TM4Gr&
z%_zKh6;z(yu)bydCK^x<ve{~0vqkX^m@=5_Yw<r(!{0RCrM;+Zn(d&n!UtB!<w`M$
z#c%Wpm%xjFdw`(r1^?R{{-=a)o7MzGR$J|j_+;SOopZ(~o5O=6Q<LikF+0G(eho_e
zroyZ`%G%a{vGG<n+1&}<1aJ9tcWUsOIhb^Jr-k-xPV<{S;oY6db8m*=KdEcYuOuXJ
z0%r6Lic32?*nFqt&iz@-3t86R&_fT$)Va8I30v`XY=$o5Y{rClKV!$jdU<~gRXMBE
z3F7^birYcF*+_WzkNP9}iy$#Ia`%YaIHk#6P!T<aLI?Q8)Wml9ymrF7y;xc;)og4Q
zD((*Y3GZ<GWG1{*o?%RQ_XHq;Hc?wPob!eF#Tv6c1Mw?DtDK6qxyQ}`PYuwSc17q!
zmV!iFldcF=Lu*@8tnBjqml2^EW5>@%Xew#2BQ#Yx3SPuhQX@hm2((c(XEdnbs*B4A
zO>iZ!UZ^r(9jBe0&yr>ldy%@Dg~J?%wE<$!&6vGe3GX=G{8u0(WtouI*FvzAm=+%g
z_1KfZl?XfB(Ag`&CR49h%`Z!bA`Q37<pdPk+)8<O2l8iMaeFeGDo6GFOL_MRIYv;c
zv!C+rTRDI#x9>NwQopoFBaa8?yL~rT%DdkrL!jL^AIB;p6lu79e+j>m#p1iT@RMn>
zxaNZ6_N_{JxA2p8bG9L4YHK7<y12H4N}Ogj6?>N3cM&ukfrdO=0vBtDY|6X-I-`@|
zJ8PcRX<Ev=Wp#SrKLgw1aZotbYq$c+W@5{yygRzi@KV67NO||%I{lsol~P$Y3)bi5
z!^)<-o2WB7iE1G06n?SPMa1J9C^xGq@7(@MOUw1xiRHJi_&MoBUO!16@BdO!J}@$e
zQr^8adCDX5t0E(BAtnz-M(~rx2dsLlOnG;c(;Po7a@n|%$cq;>myIkLycrsfKts!h
zz{S?!6)ErTsxv@|KM!rycJkgjJ>SzaXg!xe@x3H;(WT^Gb@Z4nqI?47=0M6jm#S(N
zwXtFr(1fy76x*Z<L*1XC_+%Ig&FRE2)K`U$>{ZIUC){r9m$;N82=e0kZdj?p`Zr=;
zNtx-ynX{Cl+HKKEDGgi319HYl*VLCm4bJL7EacQ77CoN2%xmf=<qS_v;R#qNeF{xS
zPPS)hD4D>zD@i!zoxMk+6=jfSi)C_RfOD$LDF#3!vlxI^9x{ZiTmULc$X253(aLe7
zXEktjoAw>d)ouJP?nnPCj7nVHroY_#(ISM~ZOXe-AzZt@H8l-k-7dqovY`$8ZR{M|
zRp_>)$i6tOW7cXyMwzhf6M`;6vuV(FH51=`04ByX2;;nL24An&wK^Y|5BHxjYA-oM
zUWG10ux6e+d49?KNiPo+di|sxcz)=$1g*FYo1yE>S*h>7%=T`2X~L6L_FKw-@g8Wj
zrylJ}cEzn6Ccm49tV2HS_sMDCecGEK{oT)zkiO!l$!vkh<6-Ohiu{i?^7TB~iEp0&
zB?nMt0{saq^-B?p_^=HtcAh1`Tk@&Ybwco1U$Gt3NHls8x<s4j4^*`Jpn9g!yMNB`
z)Qs<omC|QCJFC*+$wZlkZjPtjO@Q|!<Y66#AQShn>S-hs_t5Hc%EU$7vZlLStpZ*_
z^*WK#4a%ZoE0Kw-^thhGfQkETpp{R6hb4rO+s41>wSD?)c8uH;+O6)7C$4Kvk4_GQ
zb^DC2tXm+Z3$u1b(5%Jb$tQ4DH85-icQsZww6|=)I6Sw2`WHKW`rEeEIxrn^)0Tfj
z|5du~KhxmBsoBSLwvlt<oSb@>#wlbEvqylgg{lydwvSrHpQ-pD-xGIFUi1_??1o=V
z7O@YzWh?B@JI%#6Q>Mc1=^?jI6RLK{3DXc)md+ugw+7k|Y&;5i$f%T~;%WrPfBW6Y
z{o**xVZuUb@P6A1kUjTyC=DKWs_0jVILK2)AskA~i<d)dJ>7%t8q=-nD3P2F+Rt1r
z5#{$Y;aqoe#~l8s^>Oi-J7Dtribvyra*p}W1MN!?K2i=0AS@rUp37P0<h;#g5=-vc
zTX4@_x!hCii8aK<*K&sHZ5^``;XO5nQnj6UGFIwWf{AORfA`hkuFaPS@5JQM>1gbZ
zSVeCvRG|7e_%(9A2|t;dqRaD5O{Y0~fixE|jK#=6^?5{Iyr{W|=j^(QA!s-P4ehx!
zE?y|rgC!D54V2qtiSXRM%XKcWd!xPM(G@`BoXGeX3Q6ML@jxnC?J7ug3S9%unH(AC
z3nW*DHm|};=`w8?L!R+dCc?WhhY|w#KM4w+VhJ!(oCPpDy=rr=v~T+6Tp1-Ay};)D
zLZFpPgooe7*8JP}7j4byui4p}pK@Vyd<-_!t*);R>izlAUG2{mJzZ?lPY4>4s^LwQ
z4)3=xeR0|2xAMQzb^n<Tugi3J+uX@b1G~*!097+~`@8Txal3udQ)su3Ura7?cKeix
zE^-<{qyy0wDa8Vx<TMvouco0;vD+silJB<cOQ_l%Crm>O9GIZgba=<HgJ<tu@e>3z
z*!Qlg(&3%OQ&QvJl^`&_t~oA|e}IDF0v)QjbcvMusQ5doCf_B}T{^rCEFPw*o57ZT
zIy}xfGDB?Xxc1`d@H#BT>@7;sle;+p{tl$WyPEB$9x#47ylh;+y((PT=38K-U~Xgy
zPQfLR4i6Etl%VZ^jo)>>-Kpqk9Zn_7S&C2tJHRy0-#1ta5+|^0&z~4fwRVu6zmT|>
zm5ZN&3h1flub(y8wEIt}9`ap1APpqm{Z}`mon-F1)%B8F{1IorulPeU6No@`|9r9f
zXf7U>qqF>oY_dCvFI%PranYv<#D(~u96xNa0BZ<OT1n$3@TBdUL#f(z?}C;3<?>p6
z6k`r1#9Nj;Z0$$-EwYa1V%rZIin!SDlgR|G7Pc=+R3^lGrqi6gKA76saIqau<i(4c
zCQ6oz?I>tC0u8y?G%lWt&4VT4Vhfa;0}1h5s>-D%=6u_yVhRlB8_HFpZ)j&K+B4_d
zCD5G7t8tDooNq70O6h7KJ-?mQx#<<O0?tc__qv=>lcVnnf}KZ4I{FZu9#3ZGp{pBm
zhNpD<byz8VQfnr}yCa!2Q$rPJLbb$;xNbr`TYZy`x(!+*-R&jB!!M>dxT-t60s6L6
zE6ygh2W2P3W5?v)5_88?t-1b-@QIJY&|JthS<KG%uDsgH5=!@KD_dK0aKNigOvK!(
z!0*DVy~AgeSDXG~z1r-6=s28uE+1&q>9*`z14TbP=h2BL#KX^mv_4H5{pFI@gM@fT
zAJv?0p4eQ|g7j%8i=1hVfuZqcyWJR@NX?c8N8nbay4d~xY`;2;$uOz83muR4n;NK@
zzwXI^v)OH28q6yJ2k2Uzch0r@8$LFhFMHjQ8mG|lHa>e@iE;5vY=*9Tl-Evn4vkYd
zf<m9P1wo#n=Ty+ey#N@Zs}%F%Nzimp91=k24aI5D8mM8)%pp*qZSFEjKkst5pl)W4
zX1jI#M0<T}XnInqhV##9oUJk!_{gWH=NNO4FIV2q(W?DnP)u;)h!QmF_d)|NhvM)&
zI)yi|%%Cuh9SXikPTU!4*g3d)p)(F!Z=@#cn1WU~*LNq9tm87Mmzimyg#_P63<b$L
zx`P5a5;8K(6WvD=gM3G}U?gJ)!<T)EF9Uq<a@*C2a;g@(1`8WYUOgWAHyW8;*Yp;|
zc<4P)uPYu3saeSx#hY+wB3Fk--t^Clw_ExO7xq$-hPT`OX3HZIKbY6@(BJ`Ft`3~R
zhO~JaM^28<teemYJMt^)HKq6rQqou4DG5^cY<yA>C%i~DKdc9mpdi{SA~`#zM_UaJ
z?Cg3a*8eTA{zfj=#n-WhaKV;i3AkXZoi0Ys4k_%$FPc)aH2yb-OtnY9A1n1svnS$z
z&414Ah+0`Z8aS0hhNyIt&|{0w!oZ>$&(vDl_h_tJAT;Xa<6i+GQs@55ZurUUqqHz!
zLO?ZVx@C7sCK<_-Cm(l)O6<CBywRKGmVGQV9D#;h9vT<VE$hJ&amxnEEv?L1VDgCO
z|4v>#(4TJKRjWZ?@n_-#R?n)ZV*Vc$<zKT}iKge^xY!iKOZHRio71C>0Z1ZF8E;M#
z$;2Vk4L&<gd*p^JOoo6X8jlXOrlQs1j~YBu9w#O9UW6x<xIBya5xiQyxZtOBaUuVd
z)Omp;0z*z?{KQCMIiHA&7qy&e`$OSG4`I=QvJqfNSTri0uy~+Ege6d}k7E)&y&bj~
zh=SX4wJ0200VAp>`D#*%D6C%Bym+wPT(^F_HP{||VXHBKyCPiErTs(_as0$ICVm=j
z4UG-A8lrdui-+W4N2f_83f}J;CX#};!oW-pjdMz5vXvCPg%Ao#0e&+3;1`V@9Vqlb
z+~4hi+~jl;ABeG(+(<;ni`JHoo1x(dU?d$HEl)Z;up-hCDEGKH!)UBJOd*gAx7BLN
z*jNE!reu)AQ!f&eYYOm_G?pzRdspo(<gYXB)-ZZgl{X_K6_2u32~kloRPdVyilpP`
z$xIcQY$Y8(A(TKmwr<>i*_+)b{_(3NAdl(nWhjG2Y`~h>wBj(oZco+odtdJSvQ4V@
z;(nK4TF6i!+UtqYksl_sD&L$^n-sO1teu?al=AhS^mm<%$yLz-*$lqwlzgt<Z^n8{
zXwga28=D}1qsw6Cy#X_CI`vmH42FKq7o86MoXzQR)oVrso~&ziZk+oO0c#E%$GZ7=
zleF~ApR_=e_BmD$JM7@+9O)%w#WC0n(UJ9@(-~~<=5{hXRb{`WMkrQ5qdjrp3t#IE
zoeEY(?#I`h<{jIRSLi@F1$-o86TId00wkobm`r8~#2sC5^Aq=RjeEd@HBjxsO1!l9
ziX1qV`|71wsb30L#C>IWZ0FfaPFLnYLWhdp1T{Es5Za&8l0fJZEs2*<(dwDbJXG|d
zoZ+b%zX>a)&v^F3Aa^AbWp0OZJZtVtPGi`k2$!Lv!2DOAfuAa-k*52O>T+tj5x1=A
zF4w6*d_*0qQMy4Hj%+15x}vnWp2NVgntOm&{v{_YAx^LS75}2^qV$)0dPP`z-9A@(
zmYw@A=hCQeJh~Ytj~`A9Li<fQ2_fx6E?GwI^D7%q%QopZBQ~O=rM0z$PX35{vkkTV
zw12cMzg<2L0+Qs)H*K#+>RO!-&I2>q<}mN+Q#Z||G?(3<ZQ!1$A;>qGOZbYtuo=4h
zcJNk4K524FFNJ{3#K_oM@c>xk#q|7F<LSmLV0IeEg~;qQ>CTl-{X4h?L?L@DtJtxy
zHz}V2RXJ@cxu!T2MhD9GAS!N?Jsa64Ppv<qlLU$OeX#h0T<7yWarePQPcSE5CPw^X
zN~JxYwX;uN=rkMO6PxRA#Z_HD`y|Ht%<Plu^b@YWQ-p44%=pC`vpoax8+osFD%zuB
z?+5bKz-B1zM&7k71?C2p!8PedUNy9~mB7j_&wm-Wpg+NmpS=ZLNrQb0T0ek@nvDKo
zYqGEMl+?HdEeNzxHD@%a;HrzuThPIkz{)-uI-Wxdl+T)>qBcAavhbM0Vi<Mwdiprs
zoLUPHUv@&hS~vGOo_zoaN?AVSEz%HNCDz3fXsxF{pFMn&%QXv?-)COhLFD_{K{5sJ
z`&n^HbE@5HG^ZhWzGh~+)xa$AjiNmXhs@!5(y_^j=F|oVl0X=--5MX!=drTuX^t%(
zeHYmbJL7+nOjP9yn!j_gqZ}(J-`USmxo-}z%17`-tkf^<)`(Xq|4`HB%2D~uWC(QF
zZ3$M<E(H~KTMfTPPBP&qlYd>K!a2!Qm80@Zr#ai)F?BdPq~zg@(}}!zQB&RL_*;tS
zL&Fhh$lD@tv4+Uzs9axXbP{}LMYK9i%Tak*o!&3Wz_u8N!l?&eUIt||vE_4A{#%{l
zrGQ(Jqw=~s{k{h(ai)REvRSZRpARdWqw<bAqm!rx(!}8xOI<`l`GIn?nxoR~ue7@Y
zK1}kU9#%1fsGsCfrbDSHf2wZ|<*59%Ge>d78j)YMZ2W@84VxMNL?3>#_<&V!l{qRG
ze8FxmPO`CVYyp*KMFzKqh9l6>vLSG>HF!mi%Dy@Sl=$<|R&6?$*6De_o<Zw54vOVT
z=%N$Gy?yL4T}1f=%FTfsl`d7)D(Yt>f4nSMDvE7VojE!rp;Z|vL~}YZbhHN*t&S8X
z#)PM`xK=*oI*FAktbZdWyw@r6{$JywF*t#(H;?Vc`pNY(<M2l4u-+&pmDQWWPEv7j
zIKDh*n6zwN1~oXPhx$>@9>US%*~^Ucz9VONY7h5ztdu^BArDV&7t}|R39f741wB&S
zVskUiBC7<5F+NaTPB8`|oW&TtUXe!$m3JULBCLEndbR@*VcL=~4=vz#5f6R<MkV6G
z^w;dfgU^8bO?X6cur<+KGu|5RG9awq5PlX$!Jy&F`^W*GpF>g?vEW0hTOYvDuWE?f
zDytj%JytX4&yF5N;<l>yyH=QV&Tp$Paz-Hkfbid8@`XLxxn-`!d_y<AmwOQTVb<+5
z)FN!U(u~169|!Cp+(N9XBJAQHHr9`0v1S7^yFgX&0NMetcnES|z9%jODS8Tp<M4~Q
z{jf)0ULbNzXJ{&Lq3G#OV{u(;Dg6s!I?B7vPTYaINe(ouBuMRk6XqbUmYulIBLnT5
zzBpA}#(hd*Dt1C_h&8RakMYo)4{_)n=8;*zSoD(&@|r{tWHcuPLJ4^BXHYmjjppoG
zt$X#upkh`iKJpi-`1tt95l4=;hAzNcRP9!)F*ed@;&l<swhK{_c0(>^jmfFT#N>3N
zIWgRrYE92fO|(hDx0>Y*_8zpPHBr$)uIMXXlgu1o-GZ^xKW}wBP1(Q5;ck*J%C$Mz
zDiiz~tkf@sKN3bUHd2QmFEs|lr9`^2cRJkX7Rl(4=Z1*+fa}Jl4Q`|5$+^v1xo+K(
zJREIPUyfD0kjPE&Ya}FspUlOD4~Z-i!&Zx}`ln`cGHt%#G-<1PQxzNjt<MpO@uKEx
zlob~F5;Povhx}U_8_xsdK@;)71j;=zi6=B{owV|xJ>0%ZB^`79-dF*wv4=)UNZcx2
zMMZn&0a^GZn+xN7faFRK$d*_sU2yj~a}<({wx*Qg$1C=MbwTlVYVmRsQ)|F9?vgWJ
z+VSoTH4<GRh)a*BG1C=taL(}5bRK|}(x-EqXHHIz!(uJw%QwvQcRfL*oQ_K-&D1!>
z4}jkjgM}U4GpBZrqDf-;oaX(A>T=4{fdFRBJF7g@*>|;or+Ye-m8K^%;OQVd8BYg(
z7oLt6!Kj3%gZ`QwPsj0@IgEYtwV}NmtB31*H~jp?IafHB`D88cUH0OQFcGGuVDm2T
zv3P^7I}h?_0=pL05%5RIRKw!*Hz^$Z+;pIT<D<~oisgxR{cl@4U9WKp9c5>C$?t`#
z8J>!d^F48%3ei)@Q-NPh7O_1Q*_V{Q<}_z>oM}i}x|;P>2qKdA(O)7|?T!<sA+A}K
z_d%Y*e^;P=b6~2tbXJsdRJ;?x2{<dt5UIZ=hR*5!sTUx7fzMF(V(#?m?-Oy5{)!L|
zCFaEy&{|LZ6^{vPR_&t@lR+Ea*GfEjA4NDlu~ZJ>k6Kd{yMGy`zOUE~|C4nZ^X+rd
zTPz+!z=aB~0}+IelLG??%V!AZa$;aPZ*!T%l6#g3?s-x!_Z0hM4e{JxIYXP^aO~kZ
zl&amt)38#%)RNU+oz0iK`1It_>Fva0v5M#9IR$==IC=1ssVR6TkFieUB{euw?mX2y
z<}_z7kLL1aICw^gym(P_3D0uyTmTJ6pdkm3#>I2+c(6nqJb`kXEO)Wnce%>N96ryk
z0NQZ)ppYc)7*|r!o;iHp4b7Px8RrYb;qwlxlrGb0xr;xXLkVrkZzd>sish*kq&N#;
zc6!y8Txs9*Ex9sEG<tz8`AdLSE_X407hCcl;$L(bo&K7gE%`}0rSE=Sy|JYC<wth0
zFITj5aophefC;IZ-BekN{{#~kmpXn6|9f3`zT~g-_VK$;HOJbm!PeB&<kTt(_Q4fy
zoz2zW((`4V-Tn4P!^(eb{idxi@<HzS6>b{X?dA4RHDj0G&-cXb@<mUfT|Ry>xyae&
z>r*nWl>u#qqU8rW&BYa~X(Ciyg(f1Bclj#_RlDPaX^4RX6O@{@_!M^V?0sE+f`A75
zzOLqToCf-b&6I0+N^0EK6$HjtH09fnu8?g4lVIACs<?E8l=`SxgrxhfknXY;zm&zp
zBrJn1{j9~DQ{)mt#5sHv&sw~ZrI@{aFM0|HY~TdZJK1jP0h4!vD2PiuYw?F!f>Uq_
zybFOeSW3`7A{Kum;qy*KN9%AZS<X^~8rb`#dHn8WDM*~au04KYFxA>Ydi+A-URExC
z1J+4TJ$`+Rxu)HILh+E#>LF<!@ovAmNr$C_scv<x>5G5h-1ilKOJ)Jse$gSMcg<nf
zp)#YD|M36h=q&#sn~zxH%a$oY+~KPP;u8E%j{mjT9%~2>T1n$3@SrtvC{-S`eyr3l
z7uRYJ+8oSTd`R-Jwg2c($U2^D?LcTK;#$K`CKI?i*uFSt93>4K!_RV>vsVXGHyf_C
zV~M<YQPV)la;=>R4M(6M*P6z~bFF!>L|kiua&sVOu}f9C(8Qc>%PXe9aJr#fCHjOO
zPeps?bh{jyGkG=6F^1FaWmqX)4Wy?amO3}Rf>ywJIg9@_XVm22do#h#qaz)Bh)$0u
zGxMy~Ejhzey8VM#DSc9F<}Cg~GHIrUDh8oi>RGFWw4>s5)MueJ(%oLpV*Fx?gR8n>
zqa4`&{LrZtXOr54qF&R+<lY)~$5gGk?j(HTqcAiVa!nSqv%M>Cwz7oMz1hmv)*Kx0
zW)l-J2h8xh@Mb^eYs#BVf3e<dc0ly->oRz8PcT)PWYw-UQ0x!s6_}jG_*sy)mnMz=
za!Kn!&f;TEZ(TfnioA-a(h}53T6|clcRkRd?Nv|DT6{~OtpT`eCU1CHF5abZ7=LgG
z67CGPTNCZE>9Gr2&iD2-+;qHXa%#A}sv(eQj-L&u63&(Hd@hC4{p$xW7#tdf=eLX^
z@X(f9#BIeWQZuXa(|{99T@{yC=_VU3V4HWSt~K|3_JO(Ed})<W&_IRG-SKIaOOT6a
zVKeB694*r-KPos-aYr=xO`ACsD|mhdWn4ap5M}ns#%t%ev`{c*z>ds3HbS#3d$@UV
zba7c$#bwN&Y^Wz$sM&bH1yD63EOQCp6XydIJ%u6<_{CHaU4~`e>@*kGIF_BmAHMX%
zGKX&mYvH!*H;9zL8&3jrgSM8hCq(T|6Q&>rOh!oNCU)R#NQR%B?2yczJS8<kGJ-(c
z9x<H?D#jv1GHYoPZ1LNjUq?ey_(-pc62`z6TPDB9LvR8Jd(#{MTC1z!M_By6Er_@M
z^6{(N5AZ#4GAViru^xWup-le6Y0ef86Ng!m$-fYycBiaN^1x)s<ZfTLadc?-`+@))
zJOn>#Hi%75woESPDXAfo0;H~F5?-j_ZP$=gE-ou6aWsFj<?vX3*qj_52~`2+R5?6@
z?}?K`(Nk!u@k?9|A7PpM0;_;CU|UtpISzS&)40u?^`x@w%R0mmTP@dyFpfuxU&2z%
zMnpwV0dyAN0dAXVI&3%ffT3>cV-k-NU&|7kfQc=^tX||9HA63clqZ_gi<LCk$4AO*
zB@nm>Joo+uo{}1RQ4naOYVu5it+Geujy<Fpw>N4j&1n5*bNT)J$T`*c1E`vz8h^|8
z#HmKnQ%E)9mlV~AK8$SDxab>p<C{S>ZUrQG7{^uP<5-GWH6VHlsYbxgQH}eu-I#2i
zZpkgcZjw}E5R<rST*VTbfQc={tZL*LHA6L?$`j40#!4FURO2vDNe$H~2((c(c_v*o
zGM-9CHBv1{HHzPC)p!X%a!xgFfU2I@#&>U5@I7&=QS=m2jre8ORO36G#y5j%d|L?P
zxN5wGrI=L%qNg;~cqiM9$>y`68iSa`RpZ?(u?d*iLd>d0o>4PY<AXfWoNBD3Ax|~_
zgQuj1Y7_+8sG2+zRE^ce<)Pz{N4>0E91ISUo}5Ai*Z&R0+30QocPQjCmXQTIX?Tcq
z0zs7F{rkOi<0X)mduu39`MJyMvg7y=BZR4hUv<^_so}ZM`;F(H(>PnT6NqM<uk6Cd
zz|$w9*V5W4e*$036TfLI)KVdIj#eFXMW|Sl?o_Z8E3iWmYk68X4VUAgpv-~JIBeZL
zF!~j7$_m`t%P0%v#+J!~IHz|28q1&+?n$4{qN&!%@Z`|O(eGNC?l7oVzQw2l$)OVy
z7d59QHokiFM@0h(zK=L+^!`qFPzVow|9puklFT6E(IJopTQtrtC$qBvIC~?{n7b*)
z3~|28Z)YIR$+5jNv2^qRX(}6?Mq{&C&}6q58#SR`S8NoFUP|sLo{eJ@*ZDR0Tb^4&
zFY<W!DxuV-;iGo_X3Kj>0AXrN&A0zC@Uo*w*EusaHnCQ|&DU;>!0*#=+yP(x5>F2+
z6E>%cws4C}vG=~>5=n$QzY?Db#0DR9oO5TX1FWsiQU@V^+L4nJ@F?=k&~yV|QS+-e
zCf5`#_)2fh54T2|Gvm_@IHo<*YU@|#yKAJJhS!N{=;TgAaRt^8r?JaX22NvFpTFGh
zxy`9Dd?LH8ILi1%Q%Xz6zvqytj_bV*D`_JD_eEE4S*EBJi+_HmuOrIfcw+z~v-FxJ
z{sGUb882Fj<1{OV$J#hVn(@i?m}X8)rSqz#8DE#G(EQ0p<JM#}^l><2DFb;@*;_se
z4UvNPv$x<UQ_Ge{hXigr2ox!cLEcc5gomyxe%)z~6?c{N>nlWFyr{XpXPwagCNvy@
zhQjC?7w?3&2TSCHcA(tSEFRG_-pQ*6s@3hgYH{c*Zm9qoSw?0N`5+bL6CFLxi(DI$
zB7^`Q8J?!41rL|OKg8j(vFQy#=?Db8C9eg(Xyiz9Z1>+bAIG^V!VpSUwuXixvVxy_
zC@Z@=&BaN^d65b7`iQ)EQBzim|Ak2mS-#U7*0(m=&y*JpXgC55$%@9slNAq^h^z$4
zDLoqJ5<SbE>arjcZXeY$u~h}2nKE%i88>bWoG}6Gz}XlNTH3&)*aMg=;apls9Pz+f
z4RR6&1;Y$It7W6?sI(hN6rP*RSCRQvqHrof1HM0h*}zZfqOdgqp;mwSFFmtF^aW0X
zaSk_xVU!4r7p*M}>!9HXI3x@L8SC~En=SI?bw(%Qcdo5koyuUNT95;g$2ZsM`3*h8
z)w>8=T$v9opDgnFIwMTNmTpfdZ0R31&wip#&mZp@wvGb-WInLPrMrL_iygUl0pweC
zMwfysUEq+t2Ck6&q)xy0%@(RZt%2(M3{>4KD1WUpx{$ir0rog*>I~0;FowQmYv;Iz
zG?b~Fx<Il${9-Bl$O0cI_jqQV)56r@O2MM;wp+cZpIpHXnTz^!j581Rs*Z90(0V>G
zvu+JOrapq#BEa9WZXM(w$GZ{Dq3PC?+~zxbL+ccUoLcKQ4H!-GQ<5h+vXZG~{vc>5
zV)5c9Yv$R-C}EjD!D%pwGmj$z<3(#P^UsEcBjC_7FOX3y?v-0?0Wt^wM?nR4y&tMG
zOgRrM#N4ZG#1-v2J+JQ>!2WtalZ7!s%dhuW)EQw4wsb;7txNu)lxynrdsWYnbyoYg
z=flb-hrXrG=p?FvB?G@$iX*aQ1j?;&mW)bOs?}mAyDBU$E(O(#%ZiFQ&0Jhg6pIUO
z{<>IP;+sdghKM65_PQc|(*TkNxzCxpxZaJZPPMLlpKuCpAMumL9<0(!SXcg^(_oxv
z!{YfJ5g0F8dtLbxG#mkk))j$_T34!<lO681;fj-Nj84MOB3rqf>|UqmKB&ZoZnvY*
z?YidJ#75pn<u4}<Xgd>HemQwcoe`#BTd|xRTc_WndWNjCoE)DIE4!Qw))}2dHL#rE
z7fWA6mXkoa{Zp0`sXVnJ?BvvfMa1p5dJ*|<h3?5*M4n6|Xbe14#HUWC2vlfeg5?@B
z>*2UZE9hz5S}X~2nUMd|xX=R8NuJw?psEGpRm9D~1p+@=6V9r!M_9vFen#h4dl2t%
zI!IEfZzqD|MQbk@?}COSV9|o1k@B4H9#9d<2$bt{B*S72jaG*(2E6aKT+REJSHPIb
z`-faOIn-Q}!26;c$NW@6@z2)cUm6Kw{(F=8CNiIj`R^tWg3OPfW|jGW?Q{_5Xv3cP
zB@rAiTATTQ3k^rWBIegfdCczt6=D8Bx!oM*w|PU)d513t?C-W+&Hmr40McWBw#nkp
zi-24DiuWhPcIC57cwi#&rJAb~T9rxP)hQ8m(r0wJIyL};gFfabprN}5{IM7OZ*TbD
zzVN^O&fVDArZq7=H3r8+&V>SJcb*GjWlTM&UMk5+tnMGSX_vXjPDnlE7-+@M(!J=U
z>5Wa8tI=hEzBl;u?ZFR>w$u-urzA8#i@DWLyvNoqwnX#KoFAv_&fC1Z-n-{c`gHp~
zzw^;~*}O7G?U2SR^l}P&o_!FiW?b=j0pAmM#Y6N2E76t>Cz6a`%!SB)G^32;IK~+?
z6^QHni_@6Rca}mh_lNA08Ptt+sS6K4882q&W8$}hkiMKCwfjw&gSh&2j?14NXx|){
zDlU)9m%>z>h1mFSbQ=$1`VfbXU)?kd7>j<ALB1go1o?7t2!s;w;z($%CwB(K>Fygk
zdnG7e{erQW7CIw+v_uvHCCt5o9;8H<JFgzJq>Y&39wff6_?8@lTA^)8FgX>MwRxXh
z{Tq790>@Sds?V)1J_W*ckRS!(b!tms{-oiheZd1c*s7DOKgCM@Qu?bO5#EH!)&HJ6
z9BsLO4XcP-6llRdB;J|%Kln8gT*Oc2>cSsARoT>~e5ilgv+$^I+fA|@u8!301eH?V
zm08D6cY%f@@X*FaW8-aXJZK^tn?Sj=Wa%2V^yKPpU!|6I4SJzH`iei&-1BoFw<IVD
ziCdB%Q_*Vi-R9KR^vu+RmR<dCJ$4e@ld@PwCRaZJE2Rr=a_)0+6eqQ~9!Mv(1}p-D
zIpd`Vf6sv$oP40P%V|VhdOVGp5B^?~Gd!h-Ux<~`r&FgeCtc)QX8OCHAmX$)C6i{k
zQU;(};vwEZa&=oPliGP5G*~g8H1Ahbms9hO0A|fQt31@(w`u`b_6l2x-j`KYnx4$S
z+qZ-#^Y$%%7Z1#S7XPA5ZuFP?z^vHx_luofZEwff<CD$d!I7!Sb%U5pvRh{d-KZ>G
z9?$B=<zZ81zeAhl@i;YPbla^DAfZd;%`}lpyz$}&9%z*h%tA0@bptQZir5BOWCNoY
zXs^l=8o9`4*HHGF{i7|8KY-aa&5!sxCHHOgXzX`&t<H6GIO&HCu6#PSe0FsQ_q$kl
z+@Ed09@Ik*IWu_2Q3+e|D{O}Lx>g$bMim2y8Moat3$YS?uw4`7@8F9N|FFlh;5*#p
zvrd730R5c$RJ(lnO5|UtxJ~xs#Rbd|o6AvJ@3bxw#T8Slf7&DJt3RU0Le&gc(|&wU
zoU2Ln6mm7;7gHMT`P?2=qtpiiA$PMt^Xw<%J=|$FF67pl%Q~Gz(%)o<$YF$TXw3M<
z8ngWhU_49KbDfIzsMvQkcxqs$=9@F22hB!V3QSi5gR6JCLtbadgw{3-SlQ+IFXNGr
z%h~a>&)`<lkoQQ)TX;%pJQ5-Zv{5x@G^pUJi%YL(a3y%X^(?is$_H3-u~EcUgCAkx
zFo(e~rhPc3WA>KJn>Pa?Da(ZPgN9%!F)i+fRivkW&^@b7GUW!HUxp5OYrl;)2D}}?
zduvyKgAZ<{Hm4!_xMpU$)j%t}QMBQxKCU-#cdt3Mp#dj>C*kJm_=q?!1ByJmo@UYF
z`^cVs#rKlARC!|Om9a^4@Etiu(5jbt_wjq}e*J9@plaLyAXe&^25H3on*VUXGtnl6
zq};$kXTyC@cw=K}<A{k3;+lxTSM>UW=Dl{KIWcTK0^!^asWfS~zt^@VY@@)`eA*{@
zHv-_fY`1}iA}(9}WLhk)YPOEFg5iw@nRM8Se`rY{k4VF5E>1G~nB)!Uej+bk)YR))
z?%F+};RrP3Hxam4Lu4<3tgJIS3BF^6S)Fzk3AR$ms(;$p9$%;TV=}NU4uQgnj;Z1V
zD4U5be{8o|XLu>#E&y3o$kN|7tW$ORorFr9Enu>27Od0xu(HQ?UsGpv64k)5UHoFH
zi%1wFP;Q?@O{r(6lUf6oU$?)~(29jJ7FNt4>L>Yf#+Fo+e>vkhVn^Q?I0`hR+}F}+
zUHLm$9FrHerl!V*TMcy8m=86r$EYN{*Mzo836j_q7Z00;v~m=vkePHNXvjzhf7F?y
zxMGdSuZr}2h{g@(k^fo%ezN$0Rc{Ls6eWV<A2!KfcAATmY%CjJAoAixYs=tQq2UNL
zv}_1mYz@8u=3I@C{<a7BlR5*G`18=x3ju0H4m=m|hdMn!+%srBk3jLqBy`cc;@-6O
zm@cAx0_9fL7ehUfoh}*y73ES@t)gzKm<3Nou}!LDrGEz#kz2a3RT=z4b2>2y^b0E5
zvl#AS-?jBiT*{GL8N)pkD^*zk#>07ginv2tyxL~i?dvDk&y2%$iebG!OetFONlIy8
zh!b<hNb$Slp+@4=Ar?KJy3Dw3kuy9sg=?`=`V^XeoJi=_ETX4~*2zng39P%4SbipM
zMR^g;7R%(s02f!6Q?iRlW-$P-JmisZ<pM|#;3~(Bp4C7Am-Zb@02jZD0Pf8&DiOe?
zzh)<Z`y4#0-kO?*1MINthrPdkKvVtEUatNc6t@oA%LCpwe0USv*|6Wn&M{rIgPlow
zx(M0s9-z=_86t*e_>~SyBlX&@F@CWn=}RyxrZpI6WHa#kd0ngX{<#)-t-{Jldb!w~
zArW~sf3nf~t{!)O)V0K{xEGrtI?9l_<)2w3qLI!C@Sn52n@*+hT$TNn3Zu9a8tthw
zyNX$1)yH?j=ON>eC-pOO5_oU+zT&)FqX~y7)^DJvXW;c&dCjThIBlgQm)HDQEc_lY
zQD3nY{wMk}v&j?)Jf0(-e-cZ;|3d>`&xNgz9LgP+{<nsdOpC|n;Hhk%M`NXaDPIxi
zwPC&<Sh@;q*4VeL79L!{(5_u2+|X)&dT^}f{g+)8t*Zyvsnc;^F^~fZ89RGJjYMk~
zp-VJ&9!W*3H!7Ld?lC#TQ!{=fR!X07L%TaZ0oW~vyzyrz6J=VsIWBhDt+s9dit?r7
z59BR5lK_vK1VW?q6{lC1Q?@PQmNnhwQWbCqs>6v&H>BIPN{#C|4A{0~Kr38dl9r&I
z8KGDV&b<Ol2<!Is_!k{dq`zjzx_uTr&D!mmL~$q&%-X}dF>5h{;%Mzlmm!OLIgU+Q
z<ih%)Lx$Q%Hee(wr_72{jR%rBz7OUiz9jNz<KC_7cHTbMEZg#&1%f5c5!y-8A7KGV
zi-vvJEl|L@M!Ah_LajLZ-+C3HW%727Q^*o#&;8sARWnYweTDCdJK-jJLVu)tnG(O4
zEMlK<%huLEcAAT;OjBDIy*%0WLqgT=IAI#%>eV?}^wB{3rgf=`%acW=92Flya02%!
zwP?G6Yg`fo?(il5W6zmAR+AP6WY4Lcd(3THpn@}P6b|wzQ3!_;^Ws{-rl-5F$A-4Q
zs4e8SOU?#a)bGHFsXUnT=+ofU_~!Vykxik@j1m5*RYh?S&RJh^K=Rb7P0HL?z69Yi
zIWX7_mT6tCKCK1EN5&>#_lM>>0N0$x!}Qbe#uixh03|#{3K?FSjrPnMm>c-#VoXlb
zT#vQ}r00OsPf`mnZy@^kQKTfXw+rp%jWfrfxvAzD9G!v?<>b`jF?i(^ibDpOb+CWH
zSmju|F}6-vF?zo_mq{$S=Lo?)hv#xnu^MZLd@1D&)!R0jw@jtUVg96vrB(5?97@$z
z;uNgZuLKj9Mn7eW!Ck8*Ylu@#6sRUHlMIG4jtrnmZJ3;CT-2NZCc=Yr(}Dw><4k&u
zS6gFc1K6V*O&*=zR6Gf*=uL%+P7lMckwZ=R$y}J-wZRVE8VhxJ8+D1(Tzt&{#iI^2
zy^zR@7d4lcoE=wjDKs2`hW1+;7cYM5!4ip|2FfkX;toCIoxFOW<lVl@WiGIDBR4^_
z0%)8Q8P7x^N!&L+n~GMu3A6)9alN{usxcs${unf8a%7w@kX#wh{4iEZmuc?lN0nBf
zulPa^B?R#22nwEJ2{2Ne1u#3kYGbanZ~Deu86_IMz{dPdKx>ByI^lP*E&m<<McZ=v
zYj(EfC&Su22D|B2&-Ug=b+b2D)O4{ye^$tfRP7FsxiLuQ#;OJ;Sb|%Dr%%naXv2=F
z8Stp>x%LgA^19o$svWh%EPt>CZ^`#L!Q;2_+v>V=FNK}4jW40_@8InkgE_FR=gT@f
z{Oyf~)f`yA+0(F>hBAAn{{*O-vC}`0?}^*#i=IL|ef(moZ)c~E>?=SB_+{y%jmEJ~
zb8+2jS_u_9ed;IqGRu*Ks@*ZW)91l~33}K}E4Ss-6;r@p_TY!v!Lt{wDrvAUTA?~o
zWGtkA*pytzQ&Quil^`&_sHuIuyh+*@m;}=Wp^8g)NU4vC$0O;!J7lMb;ta55Ap6ag
zEFLCd8Ei@YB(vok36a9SHW^RR{yvss_S&TA$=w-%@CP0``v}`jJz(-4It$_gk1dL`
z24<pJGB>}#5}bldz}<;7SW3{IrTFF6?>QA6t;4BgIZF|0VEY%~?10zrL6(BV3GCYI
zCk9ik9i-PUB<^M9VgZb)r(VC^ID1XI{)FZsztz?fRsIyiQ=TggTg#&`JlU9-B!||>
zIJ&p+uGCO-MtPu0=V0CHTGbbi`T_85U-3x%Pu3ZSIhVIMZ1mAw>>x*H`4Ia~MW0?<
zIQ3Rwc64&(jWpVm+KI=ODM8#*fY`_dv3LU35MH#B#!cWwdvXq?YR7#bR_d3lYxNO~
zlMN%-NR)cacoW@c;IF0c5`S=@f>#wxlI0EQBM|d~zb_tXj<>_lw_8TF)c4kJdX7l*
zAD=vI?L%6ERXq3F(eP`;y@sDmNph92<6bMRV{oqptl{&V=IrIcRL+Kb?Q9}1UevTu
zvfOLuL&Fhh$i1d<@!V@3ED`rwpxny(ETgBt(?uho9$l)+l_utRduGKH7>+lTt3<!h
zaw^(0$J<rVoXM+kjxii>|B98;)xZGSxENF+Zw8zh20=G91H?{9zV}o1T6%?YcGK&?
zWd3K)sL9FqUV@!RM>_csogPnS=3%S5a)zgL`)9FI`lN1$lS=7*Y1Rf@C5Q3lz#i)R
z$)uSYs%S&C#GALWTTVya3$2mv_ELc27gHPpqYCVQe&^JRvq|kiQLkxZa<7HCW2)9%
z_YgkuQ5c#Fxh9L*+1`~$TUkQs9&Kf7YYq;0w26rrk2Zc69_{^qs65*A7wgex2Sji5
z9r88BRK>IKPxMRJwFX2|sIBQmx6m0l%xf-4d#Wal{&GnhU7|3n{XXAOr-2nV1TTrU
zhEJxfI-s$|BYO~SPxP6?(YKX}MVEWs**<j`k+CZoWzr11$7^X|VrG1N5FEfWt+qJt
zhF<ffjj7i1Q(J3W7n51>VtnxAT>0o8KFBvdvu<M0uL-4=(piIO8)YNy=DPLcu$dT~
zYQn23s~RJ4r+FH>IAHlfVwE#*k}MMFs?|^ZQ?G4gxSj&@ZUPaPPU#h+$NNsywL0&Z
zYbWiz*^-a;y+pron0&cNL6=^^26s@y6mq{0jJ{^{ik4|;D~K-vTcU)xI1iga={Am0
zJ~A*&;gt$}v8h^DLDe;*ZwpfO`Uq9_F~&Fh9KP9QLzoiwY03k$>6EQlFA8pNw4%7h
z`pt&^<t+4UAmCD{nh}qABi|F}{1ZKe;xYKeR2FtTrXLS0M3tC8FJSnDPSC&C=_sz1
zEXybNOy=R+(IN2-tHc6%5*Q$~*?d<B>$p4ozgTKnx3B0afJ(p|yo>F|)FbJj`0nr=
zOtxC8FDc@mHm`q=CAS_bOUxD4>F)uyzk2Z4{aN7@9;cA>;9OhMlj_Ld;zxExTN+Z3
z3^?-Roabk3-kBw!9<-FzGXqg4I28}V?9CFJfR=4TCn)96WJ`6O8l8PQPxRj*$lEk=
z#;wvr@FOhAyt;-Z!;a3DC%3~VwNK_LsS%wO1lp*YV^QH&8J&F*hzU@=(tLpD$R1eF
zq2+sLzg@M8hd$W~Zj?vr1Q>ufXRF~yn6qK1nz5K)$oIr8=Ax$%hvFAY9a)Brcy=#g
zZ<4jHcbq<LO=dDh`VuDWha^q%su1k)b^ThFT2_;Yo<i%ouU&6syQv3Cx^@j=!mjI|
zV#%$CO2`KMD%(#zSZ0q`?qjK~hf2T({0-YpJy6nZz-(UG>ONb?*z#Tv7277WRq{@3
zfA!$8`^(TXA*G85T1q$72Hck&SqhQ?8!$&ptz-$P2W@v+3Xb2z4&t215}SZlvbA|u
zw>{Z*5o>MoYdP2xsn+HcPc&z3R??7XZN7r1q=vOA2((c(xii7q>|@-lAuDnRyS(B`
z_h(yGy^S9^XFXm8RWq!|>-nBI>rwO+Qe^nWQe>9(xHUPZ1rYvGG5OWT;|`}md#NyI
zFx@ni9VO}P+Xz&<S5_K%Y%-+r2kgk%lev{NSkkxv!UT#r>2G@me#_HQLly;jnX*`2
zT%OAfdC1Gk#j&uD?8!krh?Cq<OyaIoynZD8@pS&{c<Ivt-#nAe^n5%)29YA+XIyoD
zY6z=5cy|6djk8s4&+~u2SO^C|PPdUgmA<j^C)juHa=$IL<p!m5m}<TTae}GtQ~{Qv
zf!&B`#6kJZm9$fYYEOq|TSNy&zaq{VZM%NMvOt^@=j;v``R>pPclEooXsR_bJUO&+
z^t+aRSqk+!+rYQ!4eMJQJ2I3SIx~Rh{5HON^hd=bk>LA?V@B`q)B!;Fq5J1YY>ngq
z8H<iSEZCxPb~%Ba1;Do(dB%IZVmzO(UA{U7kxh(p9fxI&2yZ>MIf}+**R|H72-}<r
z^}1r4Kon1MMX?%3w!00xc@$kdOzsPNsT;#b%lgfhcb4$Mq?VWC4>$&HzKbV)XD}aw
zzNid0)*BGzli_`Q2Ww<(yfvjyyXIHaOH;8PDd{UFBthyNLVQjTCwwbyUPPv88iQaT
zcI4!Qz?4pKd(zRETvN2*2sfp_7;cR;XU3<kyce(>bk#;V1(%8`xFmN9iWg%IaSFK{
z<0d$T{Kgzg)k(G2VWobxx}$~d-{sHGV)8^ILflxktbzYj4?<kjf-@rPXTlfztuV4W
zfowEZYFSz)Z%7`pKJH~KR3J0zg8%!VAyVaAH}1de&2Cf=znW?lm~5BukTm<m3V=|%
ztyQV0zT!WKI#&2q{(yH<Q9ggbp?&}WCrSL;7;jzJ8c(0GP{=?|T<DVqi01De2iW)!
zE9UQ;G;Elc;QZlNXa4p~7_FwYlTsRH*6pWyX1_*s$A^t9Dl<cfnPr<)&#qsa(5gIO
zi}LTDpflHcB;XZW0(^bN6;!nPwDfk*ZNif<YsOnTdA9M3#+2rNhacM$!vi6oD%c(?
z^;~5g2r-Jr!0{8)@|+&MQzD)f!DmSDeHuL5CYO1z1A-5ekaJJ6KmBcwcfaKER`C1Y
z&=Bb>KV1fXvY6fRMc6kc7MCMdyJYhxoBY*I)BJSFj7x_Rsqv!b&Livg#517b2uyUK
zMPuaMp70=w=#4<Rex4;XUY&}9AWv@VtZ380`8_M3G_=JNs3^Y<JXM^e95@CKR5ENY
ziV6ER#`vc53(yp<FpUNY`$a&K$(V7Lh|H>5tlKm;Q1(9a<0rF^a<300z$VIO{w3zf
z75m#i+C%6#&Bup;Qy~T5)kJQ*s3`!&X;3({(WafaomsMY9h8kgMFOC4@&v$xDIx%Y
za!+ssz+(=LSf{cm2!Y!}wGgbYfHPAFo&mm^*7VrA7Nk>xzfOn07*WuLd1=^Il~YVr
z{-EI@nfMG0#^l#HmqaF7$;77!m7q-EC$kS;CU$gCP$Teuw+C{s(@A_FhGg7BM8}KP
zmW=N~!x6wpGBjGAWO!gjBqLC6Pe(Eo511x{2Cb7)8sx+6r&>O4s{l1qKAt??x)=;2
zysyp31r_3DVj-4M+$8>?(I8oP<WFoqjq^ohYLzTJ0vd`KNBAjS7PdD=tthvCvj?z`
z(|CLUh79aQ#Kw!(mVp6iI06*OfJVua0S}~z3<S#U?#O`47aFimRY~A|xBY6~Ut9rZ
zChtFWa%#9W)fhM#|HE*<D8{q@)>KGwk^Gm2g9PBbWd4cFs}g{-2!`NdfS=L@V2L?$
zMZ5i@J%qN?e4MWh5m-;;#*5Y#ff;Bx0u_mX#>o=_52lC+1j@NqkH;JuG0#Bqih>Zh
zJyZ+9nH6wm3c-;>U>2>Ngk07GM~c73hMMDyH0biYKy0hZDZVOy&<K%OT%XKSk-1i4
z@m>NZC>HoBT`YF?flz}8eX@u1DW|JA-y0%w8<8F_T3bZ!goY!qk%(x_JQ49Ai-<^|
zoNN0iPDrzqLZv}a+<vMB<=qvaW(vv)VDL2u$D3<f5Cx*$MDs-P4@Ow5I=sLvG0Q4`
zvwyTX?N7;^7U2LTIKL;Lf`WseG6d%+fXD_#4P@uQCwn-L_+PuLxHK4ovluF|A@J=e
z1ilVly55+z`Q8y4j=)BOqcQUY$Ac^)IDvBeIOdhf5n<s;tpNh$_E#-H5A{}njvtzw
znrcBd%(2M{SZvCFF!Ezo;l*crqo`s!>o=R*j!x#b2p1^fIf6JaC_MNnLwI~d)Hrqy
ze6ojgmeW;|@SI7c$BWipb<Tl?Be0S1Xv{p}@gR!`PoUi1j_?@#5SE?93LrXeZ`Go+
zx&qqFwdcg4(XoRDM<>@!u5C@U#vqa6z%${Y&{lIo$j-oip?HQ@30~lz8oQXd%6V~p
zC%3F(J^zEvcyCH(ya+=mIeHx-7L+6WlrBe)u#i#XaDKH1@m{BcxJVdF&%24>c+uL@
za~(7s0gI$ZAZ59_i%WL_h{P!(@1d64>x?ec$@`2>+?P|nT)z{Tb59R=Qy$R+fpYGW
z=yG;LN`Yp9PHGL%1a5!Tn&65GHp$ckCrwRWG}xYoMYKIVHU!U&Slk}g15gD{GU+O?
zy&J-$)UXVT5U!&OcCfop66F4@@uOYbpOfc5!rDp?{DJTa>H+*Tt9oFEpV}S7h1<{r
z+e4*UF+q2Nh9h8+9uP>S>w$ghj4sp(rw0zM-$_UhcvBwH1A%h;JN5u41)7&TIki9^
zxcye^gNJ*o4@T+q)Km+e(1DFJi1Z*N)SL1(Lpx+3$fAo4jX(z>baQYVa-unbN4tWW
zV%J#bN@v6iXv9f-oS)1!5rI(J;~Z!x5*xrz>DprlORwsqF7D6vFlL-ClJv(EksL2t
z+m5&h8jiq4`a@&ot-c;q5vdE5JIs-~EEdyfcDiZ?<kF?AS}vboF%6mP^wGwt#>T)I
z6Cjyq<1+=~S*&wI(g^2W$0l0C=Gi=wBWHQeJVSY7GEYW$MTypR1W<5c#!u;@wKbuk
zRD}GOo_f*;cRCHmrNdZ=ZzlrdMQaPvXQ1H-I3!2{8G9jq>NWt0G{}w112nqt))}3I
zpFQoxrR|}fe^ICBpY;q^@7eR>SNYI(*qi)Y{mf>?I6D}elY}k41f`fZbhrOeb$Z?j
zD$R=VxC=C#%d<P+K~TxF=Q>BRpHydb64$`~4!>9$BeKE-%DK^nklNJR#6O1-QnG!8
z+fVg+@tz8)$XqYh+V^ekC4&xOi8bR)@fJ8(dMfoIowldPCMl&JzNXk(zL<`_i8J|)
z)r|w_QT(Spy>Vb@MR70nN*-{3)}WFqd0sL@MA%TRE2onP1lJY(WN`_r{Swxdbxwmx
z+Myr<<3($)E0fT01RPpd1TyLC%H?%NC*fz2tz1{Gtkd(GdWNgNuDm55T7F%*vCarn
zuuV8w`^h?e-`X>Donxt=%7<3m-ixd(_tY7kL^iOp;1^40L{^qSxo32(T(yeqbl(>2
zVq6-lSEc7v%(}NKu}!KAC%Yw_Ig}Sp@b*U5g%h5DOU2z3b<s{;l&t+=^BJuPyt*<x
zD1wQQ&?NaCT>r8nw6VT5HN62|aDEnsYGs>K%hexk{nwz_7PtKuoR_;4*-ttb<<L7f
z&-rJG1B0PAewml3_w;ZLGy<x_d<A+tg}i>M)A&WpAekxq|J+sw@nu{+R9t}I?W1eW
zW6;YKmpl19CX})N!A5VT#v%OJGxw}=iD7XlHbabXfqG9trXG-{=Au=NKmvqg+1|}-
zY~i^p`z@7B(SSyK@`Q$X4B>`O3Il`M9UX@2+w)U`=|1;fax%cX>bweKT&6!*q$6rH
zX*$&oMRK2v!ndX%hY8)e$H(K#>|C|#YIZG#kiNd6nanddCvc^{*b{4rrw7i{V~nc_
ztac-Gr0{?iG<%n9hOZF}s7E~HG7(Bva53~Kk`-*gzbG>>{pBVr5bJ=V7T--@u0#p+
z97^*OE&(062mAqDo3hc_rZoW(0l2P-O7!f`^Wi$!@ZiYQ<hnt0Y2@Sx_EdF4JjV}C
z-qFcnSO$-)zYN+`MHfM#hq%-Rr+8E@x7(%_ACnhMjEt=nsSadrV42teoU^MN<vTTE
z%RE}Dt|c^TF=)L4**|K&q($gWlCPBc66Y>ck-bjW>RdP1R{jzl2V9w$pj>-)u)$Xz
zH1}s4uy^R8=dU{@Y{kE0Gq~>9&-s(Hgku2dB(a|BU5KnrAM6+6%iqC;A^u^H<)iFa
z*yp%D1XVfjp!4qA2dKFH%JAdkY%WJ>J#w~46j!sP{%McsYxPI;B|)P7LgXsd-Il8y
zujBXmp15b;L{At~cAtB|FXj%>p3m)3DcZTh9p4DeGdhE9RDS0)8y9lRVU+v6KR$5L
zfrp{Q3qu?ABVM<{n)Dk&H#BDaVvX6Jfq25z#ShpO?NPC>PV&^i3KqaMkZ^T3mI7;~
zGY|XPxOyI<j__$&&*)V{YcKGu?DG7V@s!?5cKqy9dX+R-Pw7>9`A*;|dDKGZaq!Ng
z+B56dPfkq_w%0YMre82KISp3GtI-Fs2+9J(3Ic6Z%^3|Uxa#8aF}>hQ@cON`*g{!O
zoyFxkCUlU`l4cQG;0qQGa~SCYZ}yhVn<GF-$}%C70f%5IF)dyVs-mYGq(+rNrV;|r
zFEfXBMOR3@>hFpMjBU}1Q<_tdj<`7ucKDi^=~e@+??%yvbMUy@z}bK%+`oe7M<(Gd
zlJOD!#8`Gc&7j2_kvaQ{*C+F++z!pdIq1kSf=;~*+=WWG#kOdm`azq;Fgs1K=3!&1
z3=#7ujVYP(@6G{Ky~6bltkf^f(MT@f{8zZ1i54mNFM)$FLlHdPv9xi-#0C*3H28`h
zQ`5ZHrcj{B^A>#LrqZCjJsAQW+<G-u5zj}W_J0U;Ffiw>@GA&T=%Ek%WZEmPtzZSk
z!0bkIO!|^SvH5Q~&DmCrsj87Y`LM?~h`e}FQ>$maY;zAZ9D#=7egYS3hy{0^<iR?l
zli)iGp4Dk*kzgx@too-d5r3=G`~PKNTRZ@TQy)$F2b9gkmJj^x@(Y_2<NRQ-P71gS
zKvos9^tTP`K6U!t3o3DzfXT91uns`OnXs}!ztwd{Cs7Rq{qT#WE+Rp{K)HPqHKm@N
zPHGLQ;Y_+pGt2eTiRHJi_*jKtAd|@#<33D9`8S}RBlh!fT@^H>+||<AL-{*c9FrG9
zuIaJiRs$V1<^!nfaajakE!rw2NW`+vkwoPtP~Lp$M9`4Y%6UQZlt&m%EgNfz$%D%V
zelqc{ST+z8C4vj-A2!LCIn5=>{v||Syl8D1d>J$xfrge1fs3ud7r>mW5z^oG0ROGd
z044tH%2BzOysl2q@97z|o<E?tJ_%j)t+-d8Jf@2%pFp{l^~F$6WT%TpKt;J!Rja7s
zidpbf6x*aaV{mhV;*)0#(40;@WAJvNBQFo^3tnUV*4ah`uJi^#|69XMI_x)DTq_^6
z{1sNJu>OtB;-2D4XIngiY}oDVC)eY(t=6#KAEp%51L&lb28P(;m$nX#YcjQF{VjnZ
z<kTS+J)XMlWz11Lp(o<n)^8dCn!??4hNm`geOM`d3QaE#t%;7V1TA6~u?ajlnZUX$
ziPbr`qO1T?ICD}lz|!h+g=7FkGK&Ft<sr`pDHnhWu(6dWe5)KcdR7C8=4s!tNW}R<
z!CU+;g0~|uDiOS;zaqg~8M~|-xII~(dVx@Gk4`NeRX<!?($Yn!b~oQMXtrDb)X$|b
zAEq4`*I{PB^+mc?=Z3i!aOIJ55~(kCP(*!W{ABB!*XdE`$68Coiq~Q@?inB4HYoEG
z&iK$j?cT3pdpA8Z;h8G?EoHvA5E|{N3!7(DRD*cBXTC8Fd9W{*6To}0_tgh`h9=i<
zPzQVDUB8mGv}KZ9UUNh7F(jm~_((ECh}CDF!u}x*dp)PMHc;iBTmM@FO4iPoa?n)P
z&RtlkUrJWQU2Pbw2clTZ7{=rXCH4@Ev2PoXeBlvUT(Z!TT_tX$D3x$<tmgffT@|gX
z2iU38abNL2Igrr1-1kC_3NuKVHway#dGlE+S{<ISY*{(m)^8dRn(_b38J?Q)KVqfy
z88`gxzGWNozwh`fXg`{`$kg(tO`GFXmoWfs&EA9~(h&#pk8BS_R7@jH_qNsL)N~_m
zS<_uEQUM2GA+1@Z8`7;=rNs3d2CUhB7#18HVGbi=31QD3iGR^yMEYxX?AhZW@4~=-
z-I%ia+~L#f8?rz|7Z&VN-!8*Z$<zMA;-TY&Iz|1!Xn8hn0d+36tn{}n%ICl=#HD6n
zlskR>JYBc*_PJ)umWM8u69E1Ry+>F8(sE%RYYP+@u+MRABb!ibjsCZdaa-dQvVPeU
zK9f)tV$SwSs`y#9m-0PvXW2wg=zDa}vf&q#MQjYR_4Heu=HmM%Q%@K6Su6X#m{iQk
zhgseXB)D2SVH)C!)j30SL7;te0aC@~8KP2-iUPqQUbW5;8Ln<z46oc`3vevL|KV}$
ztzk(P;w?(qy!WYIpzV3Gb5FK?A`uXIdME@)34U=JwARzD*DgT~tBwrGNuiz084^x@
zC-dmjAlpw9@|8`Gwp6Y^y=@79)U#In6uamvej<BP3v^se)E;H->tKTLz7oPRL*mt^
zwI+t)bQ0X^Kzkj4Yfj_o`Du7m70h~o60Cl>(9vwPXV!p1hkq_caGUGV*nnJ7aNtQQ
z<K+!RA3ur%DE3COy}WVe7&JH49D~zR5S5&qT0AB;6mVe#o^6}P@Z?y#F}6;aF?!zS
zGKnSk{6TQf?{c}Pco=Jll!N6A)!R3kC!3^dGJn#<(q3Yl2kq5`<#V-{ScsMSm0;ou
z>8Bhtc8{wiYlwqP6q_b4lMIG4Zb)il!{kikq9!EjqO)@0EQ5NfS9@b+3fQCDEqQc$
zSMfuf2)(ON0qI?#p~yKV{A8}r6#;1+xiVNn`=|q*=J*Mb=a`lgdGVs=Ql7KrDh`H*
zBhb)>OXK2&Og&g4A=5y)rCHpeXS|bF50t#yce%&~wr;d>+@%6&SPaz05rrgi<G3Xi
zt@aaW50K(|71GogkW7z5b0$Z|`2xw6A<QwXlrGbTNd$Ld>@)rH-vIC>Ig}8<FC-{<
zie;P$Db50zonEywSK3!C{A?wPGby7)qZinj9|N>@m^c%D7yI(};$O5cr@v-rU;b=Z
zo5x^7-RjZioX)Ajf-TY~t3Q(N#w$v?*r6Zi+mEW%0WvfO$<SEUSOX6#!v(<8r)FBT
zW5)~0c&_$b`!Z0ud*4>IqcnE;gDrBOf?11;9KVnMgs$6p*Bsu*mr(ed`CVf$2ln-R
zS!avCz0t6m1M4??8osTe%--t%H&o5o>i;j_6SvhDJ%zUV_{HQRXRD9wD?kXiWa*=g
z#$TM~;#$?T4=T3$)KBtO|Br;K-7&k>=fQyqdU!#3{=c*3(-l*|U-sa4{k4syL&M*p
znWpI!z@_jZ_z_mEN*e4tRj5uB84KwjHYNM>l+?IWB?yeKOv=G=s5pfGwZJ5pLs!M6
zKcv)0#aEGoe1FJJ5ycr`%fOot$Fq2tgk`WL^^?q&M*|6-u%E3aaZC3#$8%VU*&C9g
zCwET(!oL949fxHLwwrpu{Qvfz1X`}5%8>nMB?$=R=R<=iAI&D92!tJj5J-?!h0yfx
zem~tW{ky-tkOYkb0#1-8xU?%OFt`KmiinPE;y8jLD2{ksKpEE=1X)F#xwp1gRj;aE
zz3!jz|2c9FH~nAjx9+`l>sHmhq?z9E0=@>Qfomt-W8hY2hkfv3uy-QH6d|ZuU+wQ$
zuha@^9PbjzY?ds&fsLPmvQ?dzDBjmPd*C^NJzM+eVA7=nv-X+TJuV#H1R`Ket$mB_
z+L|!=QMp6xRX3vuf^$W;$?sKXGKE&LB$Vp8TAdiOhQW6>*aX4IRV=i*<tcVd(rs}e
z=)>>g)c1$q@umQ7Hk=?TADN5W+2~*{V%uT=sc6e<Qe)nVO@&5{nDB;k&AKq&IrGFw
ze1IbH$61jW-j5}y^(^k=4zQm6K1)yePWuroG{Dx@^t%`9Bo#O}i0T)ypslVJ&};^F
zT9VH24~A2)rh-DUJjZMUbYAfLtYPr+9?&__UUw)eHIw$rH!(*<&OPrvY+*aP6^kUy
zYR|$~i&+hm<Yhn?!RjN3sj+Sh<_Lo>yzo)AI(2c7MKdab%&aya3h4(`a#mSC$z)dB
z1uC|nhM3g^UJ_=t1X?U+HAB8bx+fVi{ZS8<fOyn<6|XZkgWFStLfo^(>_Ny^p7x-J
zN!BqlxSgDdxR}B1L@eYl1_n{X#lsY0%Yf^_!057MfHM=q-}`fI&A&iAyZ&WhGSAI2
zYGT|w8%ntN30aR#CSqrdCsVmm#f6;wvOwU02)Vap86KDITd<J-r1s&Y4#G}=&f1_Z
z<Y1pL)v$wlw|CcM2^H=K#XKL`vSwW}>YY#<k===CRG8ut-R9lTr?gUbp6_~4WHaP9
zCjAANKBjcZ^$vm``zR!0N2<w0?9SG?C7WwP{+4X6YYPfCSh5KbIV{<jPA%EL#9zdc
zO@28o+0FqGEBgt*;zSjmi$BpSp_Uq?(LbjV*KMZ99H;$;ckNH2Yvh;SwelQ}v#wq6
ztv;g$Y~3!l+Kr&JZWJ%ig3PAA^eW&J#Lt&3_}e?oGwX6ggQ`s(MkU?PbotlY)lk<U
z7g4d3yy<i}e8J&=s$z8NU--P4OtP{z#mrD;^v*g-lp23FaRYLgOT4#o$0U)r%VCZ@
z{{kv{7YRg}&^uUuNBQ!=gygLXlEZ~q4YHJUb#ak#pwtv(OjCQdcS_G(R~zH$k9!s~
zd-xo%@0i#mV4=Sud@*zscjNHBgSAFByU#-->4t|Pyy@6HG)H~49eSQGx5gJF&pRh~
zHZN_!_<7X)HVBL64Axd`HjF>PbRME1JXR*6!*~N-bdOT#?VPm3<FFY@1qWoWF77)~
zvQ}$-R+r1c@;!801<vr68N@oy+HElMV{itC)Uq<sN7G4&=whe*prSjR0_CC^kVYPs
zMr`FUsYqzn=v-F*b@)o`@I!=V$`41~AOJgk3p^zncZMGW@qt_;ynv)dbiFB)a*}a8
zngX=jag*K>PI`vw&(mouMC^J?m@4L$mNb<Be2J$_#-^6_A)fQ0Tu;Pfl%b3|!XX@+
zhJ4xnPF=4gnLd`1<{kBbT=T0K0%2-nd)@)7iRWhYoZCi^Q~Y8d@#x%^v>M^;S(y2{
zDJm9?u!Ftn58uN&#Z@r-%pk77z4L_PBqPcXKNhq@qAe2hwSiM|^`S5T3pR1|1>uki
z?P`l%uoT$uv6gruuA>uiZPtkhufY=33>%NrV1`XMy!4$}fLo;y#zDAikiLkXk|pG;
zS-Q#h>0iP^Vz~#|X1Kwa-Cf(NR<OC18$2E0DeN)~Q~im_mfleW|9>sQOC&SBD+6q1
zw98J#JX}Sjf2f1M*L(0{+bgYLz(D+h<K0jZk?@mqgW4L6NwS!Y^$Ng02y4|6yT~wl
zJ_2K!I-p0i#+=;G?X(Y*&fBxfi+(0M?eCys3*v~KR$wh*r%fQuVy89a+cSku1j3@U
zoFGm0`qS2j{_uM#$V8%H?y2q~S>5ib)}W4<uNH=aYR~{DRq)qI^bZGXC}rF%GDptK
z2~GVd5Ju$1o{y>IY$qGb%yX7m3>8^e29x|*W?>R3d?2PIbvOrVP1%Qo6UPoVR+6sU
zv&sw;{taf?q!UwbEZ38~twLi1ys`^l2^Cw=Mi@rmEWt1dlvx<YkWUZpE>i?kQiy;R
zh)aZnx0L_}(%VaCpxsiCn_wVkmE3vK9Ug4SZ0ESR>Bccxqs0zf0xy_gbf5RAl|5PI
zD>~Q9x;BlSrH88Ve;;bnj6gi_5KSlHJW_EHI72iU>M?{Qn!dKxDFCv{%K%gH@T0Gc
zw_BQi!y)FK^Y}iVuHA#>fPaYg^{WO}{4N7Ey~kTr$)><7M5zgl`1n$BG9nY(@+K36
z#3C!#wE`1nTc69K7Gp8I2CE^&5Sw!8DHH35IaJf<ovq9A#XNg)yRp0rw?U<2V#%Wx
znHxNb7?~Q~xlB|}CPtad*@S=&Vh`7}pYZC!&yVq`RU%xI*hG5g7o-_}ANv7%qc?pZ
z_AxBeJFo<`aoi=wVpmGA7=~ry<AxdpDaRy*W)GjROuvQ}={eOy_=}uVkze{@5S9GA
zw`d~o*1Ol)YMh)bZ!Zj@Sr5$Q9iPxpS0ciXW$B}G$8~gcYI^NEJ~-3g7<F;g#ZF_g
z=z2<&npht5)l(cj3KNs@`e(t;WTokQ95~ZqS#_;6G1|hJSPiZ;FJy40y_{olK1S$=
zqONlVMlB(`XTKZCu6nW99>JLo?tVlE(k`l3s_hOfUgK`bb)}lN1gBOBhZdM36PNnR
zrR(5KXKU5knOxc3W_4_V<}*1s6F)t~;7n%`?3%`mDax4D8L(e!Z)gS8Q8};JyL$uc
znBS%LOPoEB^*#q)y)Lz<qgGw!oxJO&zYGtFu62&z8JsD#59&iA;Xnu|NPALCr1F>D
zJ?Y{h5$&LgRe45@0xmr}dq`wl2^7aFvWr}@FeOP+&Y~_-_c_ra55qy2nkO5%HRaWe
zi#C4%9r0Nv*n<lbT4J1rkAd1Trdy(Y(p574@M2;qI%F60SEi*UcR??3c&2BOJp03^
zy{VLKizeV4Ji*2YQg!=>XPWa@btzR>M49aYq5QnB4+{-2h1BxqBKvvY3l*MeKW`KW
zTl`}<MfBbZqJ@QLdNEW4jAIJVgh{f-qH7E4sh{MA4Aw5<<3ttKtF-Fev&N1o4k6vM
zXO-o8rgOa`pkfPZ$T0=Qi!wxKc&0PD8688uw&W>|`h{l-x@mnV18&3DL1y10pbd~W
zBW~T{nYMN_JRjtyglD><n|3dULM~lECfQ7AeOGq0I>R%4vYXK{tiq;FzaNh&iny>G
z-x>1x23ryWB};fFy}ek`GT)Et4|6Fqh~kr-e-DtX?(^?)6rSmRZI0}M)xy7g+4vzD
zw{h9PB!v!~;*CaRVkRk5c&6WL)!Dm@)54aGM@aYVS-a-JKSIS8)R1L^;zgC<DdCwW
zJ)z>u-fL-q4F7J_rtKydbkp)YC^R<WEnyJ|7eU?W*hTA#E_@P1XAwSzd_6=~isexc
zmB0=`?^U{px;ury6C%o4CBI>?*rQf<!vNK3&l?8QN!Iimf1bY0&dNl!?5XAHSSUsN
zmu|p%MNy)+lzp<sbmEg62%?;2jO1Zu03}>(i3Gu>4skKYQ<w2!<=e9ik8j{E#zOv6
zDBE!|8<wu}?qIhoi8(xzx<?}`$_L17ITr;&0G;%FoB$A$nFzowJlO3ZZUW#(Y|cXD
z7?&Gv#H_+Oky>hyD#(t<hPW@Ghqyn0QPD$O^2>6F%g!&mJ-~e(yK9swJd?rt#$#q|
zf%ko@d%3d|_eXu|C*4*`KeFA^(8J|&&E4Pl`5nxPtPR=;Sw49EjVKj;ZX#T@l5wTI
zp_5}WF*R5IB$ftZ-+xMsJNx~f7-!*=SdD(aM|L}F4%0OC$=>EFZa3!Q@R!h+F*RnV
z5i6{8<Yv#rBOGGQ{xu^3w>3Myq_f>ZHRX^R`olfFi2@Oik8vg_;``Y^yES2Zs;>uT
z!6(;!R$`$6#$OiWwWPjw6ElfwvoA=nrsJ}pgeW^lLkUl97g49H75WhYy9&LGWKG|w
zWYl(tvJ8*UcpeM+&$wiL*K7iKl5DWXZ}RSxtl?%cvFpK_cE=XQ`2*2yoA4=R8p(8z
zrsw0jE#fWHbjM4T!5qjPX>i%#uiJ7lF6Pjn+g=KNbq8z098|l#9)FQ5isaY!(QZ$K
zhiSduNfhClj_gIPg^u)~&zd}8U=*S;3fXig%!OU2b-Q}LRh0c_$R_Y>04@#aTeqh6
z<nZSLPbN*+dGF_^P!tw%^?sH8hT9+9ExB&E(U#C2sfTRB6q!WS8*Z7U_5W$r*>_R0
zv`+EkOjZT&D=yCwtf~!rOoLs#YB!7SH`Fh$(>y!7Srqe8cpoB%+%Z*d7D@353`?TH
zckAF&>YS-#mHXmAa>A%>iqzz~O0+NZ!nG!HJg}=oCOpJA4{rh7jOp%cH<PIVr8V1j
zvDqM7nQ!65q&jXjhht(}Wpkp~G>2<(&iccXyr+(DQYJ{OrW4q}U^f{1XBf|ckl4J9
z=Pt(7vz}7V*;%P4d?S{iZVuuZ+5tD8>REcqw-Qw>G{6}Xm&S1#tLYN&(TPLC<FSa?
zRPfX33*oEfQWGZ03v-W`nm(jeXJ0cw@bJ^=_ml3~v&zd$mK|4k6;y0N4cTuAyd=&~
z6KJuVpBnOIi@7A2FMF&ez3q6JGwj^RzHw^`qH#{xp%^lW=f1H*vZk8}JPkrWhU#RB
zw9^H4mz`(+2n+f1w4@6qE|$l!njXp06N2D}2`bz@W(dX}XF{-ZdilnjOJDzuIaf*q
z_6!^I&p}^Zv6?WQZp-IC&9~*`*Y??#uj7Gt#%ynXTrYcb-kTma=qH-ANM7%bir6#=
zb7yBf_cnfCQFi?Ko{Aj{F6Stv-YL~Lc<v}n>Kit9-rgcM9Vt+md8dCE6wR>HKiS=q
zYo||JGVSy+MW!NcryqNzH*7);Uh0clb#~b*YY8bkebSEiPCrkusy6K0>AR5w6XYAQ
z=|bn=oe!;2`=CCwB0-wiUd0r#={@eAbn(!NcF?}4@qImeNqVqh5@Ztu&(6#tu{;W2
zg<VgYLwbwY^hGB=<c?(^OXAnun=Ef67}3mn_J~b)I(zJVHc4C3cLu=xhKNn~Ih*MY
zG0BKcE`yN~FZPH{k2pK*gBOFj6Z@bDLDl$bf86@CR#1~VE|JV;$<iCx{uu<W!Rpud
zjM{az2c8qyv(=9dCS5u(tDlM8<HF%yfYmXz`YmzkYr^zLB@Z$E?ak)ZeT$*npi4|}
zcUxTSLBka|`TgNCZyMm{!*S=j*R1rBxp)~Honk|D#$#gmb>@kYcmze_s;o#155p4F
ziWc{A2UyWg$<kB4<31S+4Y1WU{R+l7jM)@;4_nxf2C+!OyjFm(7V{b=$qRulgw>Z3
zsWF=_(5kZwXUV*_iFD7NRn|~4nb+O|6<bh4%xeNK3G-S4Ef({dAzu&SmIRCT7_&+5
zRlL&J3~%SAOo3#0L%#B~3!O-^j+x=@t5BUxt9FW!3~yh;LjGbPLpUXR0n5KYJiGp7
zV6D3=%czNw?+$`?H+Gnj53w`GlbP|d)o-&5kIVLlu#o?xb{VtjS?{jN5-PkBig~`g
z)nhiP;+x2*C!sbXyAv^+FhynuU38oGKl7heOWDb!>p`h8o1A0PpM~jTN|#)Z6a3gm
zAxSQznoPv*Y@J)QxhCXq(dN3gpkRYVn-G!X83m?Oi}q@mP<qjf{Bl~fodY6IJa`Bd
z=$i;Iqm~+^-i7Tko6z|%?b>OgYvh;SwK0g<bj&HL)Ap|7H6840T-O>??dkrpnwD$z
z430JexRC)NX{dkgLiKD2EwDa!cn-I}T?TQgdh<E6Opzc?Wl<`+dc3{k(6IKx1#o(^
zK$6J-?hfD-BRISOtI-~x%ufuGY8i>|LYW}XP%ca9k<0m?sYmL;!+?`MiQjYe^ueQm
zb_6klHNl;zi@()zUhN#G)8>5@6wPq-aHG2=mz|5YWIB4l6nVu~j~?bK+)prJiY_^m
zXVWfV-l0`)UlNst-RVp(ZcDNH9@$6kL2sdPf;wwqjU~Fuw@o;<TYMjI_Sk9Jq%HYr
zJim1|<7qI|oQ@?ezL{`hxAs2m?5qb))WzC^C2WM6;TUNC-&DF*NzZu<<YpG=gL({<
z<{@EkcTc)F2BIBQu`1IHKi6T$Kp!A1pd!GOogD+2gm2tdScKZf#4Zf0#0}x)*f;vv
zjx9dK+!!#DbDMt8Ws&T7Y%pJ)DYkRUQS-EA&Oc(_YHfmJ5iq6^^InI|(51JVfN|=o
zb(+>^l{$Qbo~?sgT=$G^5%bnVxr{;2j=>H;MChf*h<Ou0i6lILWJPw_mS}knvfG_=
zgig~`mx-e=ZbGbjsdHN}r^A=CUx>vv8IwwEvM90<%*9ZyCxS^Rt5iQ22<td5>OEc{
z+!P^C$960c&Gt*B=3^Q1U^?R)*e`KK$QxyQNa0c6Gq>RK@LFuMKfIbX%}oJz+#^Qt
z>Fq?}4<k}vdP1$zsuZe~3jz`ZPh$WU08e1mH+ziMFHp38E-PBY8?gjEsET`TIH*cD
zO-nKC81G77L{G^k?Dj0(<d)2DW1#`Q9ODipdDlC;m&-HbK-PKoTq`$tnjYNR6yYu|
zNCIAiSwarSgeVvcAD=vFk_bVwFfPHH;+r^Al8Ullc%w`l<49{0FcH5%{xhhE$nRt<
zJWP^>X{<58tigEH6RrgbEb-A8Qq;jbt~KQ3etxz5QPOdHR(Y?M>FnzXsMvxuvR4xr
zOPqZr5N0|1GUQuIiA}^yjA_F}O#*#UwsIh8^|sSii2m?_6htF2F&}~VldNtZf#<ZP
zu&SK!bAyI!7bY%~3!5-w;Im!iGQ2@fo90A;Um~7f{+!AOcAB%04d=D}pdt&eVUj<u
z8KdbkDQiqq2XvIyn0-Jvx6IMt;iU8StTMlaGa$3)NlthS<h3A<@SDI|g5MHIv+$cC
z-*S!LWEwHil|W#WwIuMI-hMjI?VEz^j68QUGZN+oxe1Ke$q9oU4a-!ptXQWpkb_cg
zq%b;4LLm?53OSHN_`6mZ0ZpZz+t8@DM|1UI9w+(GS^E_0Bcs)z73{M#w-0V@^B5|z
ziGS7FBSE85%r{$wRx@9!G%?0)X`iLD3bj&hpK5(m(8!MjBlX6Xd~;*aDwd(8eU|5r
zqY-}(B{qD*r`p0POq`73#ouC*2-|K39Lg+ZCtVBmakg!d$pC9la*4zwxefOc85;#z
z&*Kkj*WamCYwx<mpzk2vv}f&_L9c|0Ehr)kO7Wv;15O9hpXg?EY!bAaj!L8S(ker(
z;R5SdyJ`1J+Y75Vb%E7+7|4=tgyr2IA@_T_8J!^QgltVvwnerY@_nvHk@E0`AK^mf
z;R`>yGzWjjf`xxE3l~f!;swf>1q|fSMU3FR=wm(he7g(7{!qtv`dad)6beqPCC)0j
z1J!#yv_f`O26t+nw+FuIQ7d!8$hW85WYBe_y0f~ERHyITi`7E2nG=3tyxkpY^|&L{
zB?j&YbGp`D^Nx>Bm;1ZAVA_`}`EY%SC^fMHhQRfdavTd)4@1W!x&B#*BO=yUh@qR0
z%v}f6G1|iASPgk9bD(U4Agb=t9M%2~&7q%^+*^p^#qLlr{p%39&{UMhBtbofjlYAg
zME_97@*3w@oF{HaLs6FvUpq`XoMcze*0)D=y7k?U=nb@s>hlr1@1BkBmR!f`v?bGN
zC8o&gt2&=uN2j|;tJcosicac0P^XTBl*4p1Xvxv(_$eJmr`t-fYZ^1AC}UP<!2W>e
zgIYm#RL%otcW*#QXlgC;kKqB&XPrGzPAK{s!EmWQQmE8A+KWlA2R!MhRh0xM@4D$P
z!)f_<o#S_&mZ$b1+iCgF+&$^yw48QO#i~4`Mgf<eot>5&R|3U{R8LOCpK+o?9)>@|
z%N_D&`zN3yKFb7qTxLQ`jMH#8sBKIx5zqtS8=^hk>KK1sHnEf(atyo&qX3X)T72#o
zI5OQ{&x5${4+roc>%p*0p|Bky2aKN?Z?`z(`yh$^0X-RB%*F^3b^AxAJ0J@}`I+4c
zEHuEBQOnD+>}Pf_RAjo7y-^^nXS-n$dOrlW-7GTQ3Gmf&E`Uig-RhcxY5<eGEt-Ad
z4r$e?I*i5!-146%-Lq$vWqPKQwh~lqK@Bl1QoJZbbQ%`l+|B41@-+=iY1A(=-R0f1
zzAXc8!%dLc_f+MbkT)Z4-I3|8>t=X9$W4h%_myti{UQ`{=>amyW<u-NvZK`*neOgx
zM#r#f2o8lQiny>?Z4LRhYh*gTy;#XI-%IKbSEtONWVJk&WObi9kE6(R&uVjI7pxZk
z<;%vCWZbY<OrA?&l0pYg@s=8yZr(rC>g-*{X<-M(v!T#-;lZ7uVhd`>vO)2pO7N7(
zbT92@fDHd`)TZ6LKDe8f4;nMnCaeMBAzs);%Sz%2qE2)c;gcZF7eze;l@lh$UMhhd
zg5Ili5%oCXKQ}M1i!oG0IjiIcD@S?M$_`dgo%TFfSxT~|-`ex^<hV5x)iO_x7hs_j
z?O(ci>J>na9)|j4jp@WEHxR@XS;k17k6#WYToMn3Bbz$J#TZXr#^>WVWEmdcz<mY_
z`A?y2!y%^~nydsVB4-g(L{2_#^X_1`+MLq3Yeo4MnJp)$69V`~dOl77h{;R@;1(Y2
zP?Vbh_@St?5P7!D4L4#|4Nt1czQggP8q?{!<tJcN^hq`OrN3Ja$=T%qJ<00&!1m<P
zMtwABv@%7e(=2atR61fmfI5dO)u4gF;K+}r_{HxG>aUM61M7$SpqUO+vNn|+N3@Hz
zo+-8Bt>N-Uab>uVwYVk6?=MPURPLGkf4(Z4e9+n_N=2U?Z}u-2p0vlna@aX`$|`?S
zF||aDIr|A~jIXdCt0Db}=S#82m?P1>%-OnZkulFx+-}V4;Z&$}ObypAB863rM4_8l
z1VgOW(;4#JR_h%Qfo?T+q(3~)n-~!3_zY$OBK>HA^zO{mo+|1avfz^IH)mp@0mf4n
z1GS{0PO#{6VHT7Sg=Pbk@YHA#b)E{%X(Vg<W+bCVyDiJ`_>5nQh5Tn+lITfYmL{sJ
z%SXLCC2O%+%;<Xbxg)SeamGL_A|HZJDbq-%`~B(pxc-WG%QW5b@?<diahE_`Hu&qW
zT!f1`H0ZC_Ltov|=P(D=V1I<aNc1`KYx`)hYq+=aEN<>K{U^R=c$Dvpa;*l*XZrND
ztxf^glx46AWw~Iu+E(X|a&7-dm@nDVsczETuI>L@l>Mh`dw89Aq<qP5cB4>f2Kk`T
zs5kg#L;0qPxt%8M<d_EM^`Pfr7U0NQy@qAK2shu|lItQIZ3#`6dJsEIk*P?<h2*@`
zAoLBc?O)>TqpZ}+LSMV6r8!Qao$$U1vo~}>7x^C3U_(xZTUy6B2k*S4<(?qugL+FV
z&9(jM?w)jUON(~UzLaUVw4NoTt%@Xh_IY-8ODmQ~;WJ2(<i4(QORG26_Dv@~<c?(^
z%cN_2*X6-FAxn+f?T(J#?(DJi&LwS0zb^swZFm{faW>N(Vv>%IGULVW?C4X@4*TH6
zAOsO(iV##qvi)Z4&00Z~;Ctwe_s!VvJA2?cfr+y)Q$Wk~Nlcdx?DnCF-Q&XHLm&di
z)QGdYO;_Xh4w=*;rjg&U713=P>DDhjGs<;aT<9L*V>t2s;iKO3&kZLN$*ujL+2~*{
zV#h2_m-P(4&O9*^C+$R#_>Zhe44=mm)LTg0$L_2;vrZ{A;E{1FXf(OHDSr~3B}YRG
zvBQ#mT@^SoyTf$zo&J0*G{9*bRnDZt5DCBI(5?M`-oqA$S%1VC62<_2bL7QP5fGE<
z<_IRqsMQxx^;(6b8N-D`gC@L6tIj=B?B>WJq<i+PvUZZiQW72k6<bh4>?8s&iMtI6
zv{>#o81jt+xAuCk;#J0Aiy@YvT*?$6U$LWX<SS20&>WIA-SFpW;@t$*$+T*x7)cDY
zu#mqP$l!6F-bL^)AY@wPUk28?ZCOT5Ci7B)b~kp|WFmIPcrr6uaX*=5cwDw$hlTtn
zwM)15w|I9=mQdmApqS^iUEQs{D!z$~x(R9{vOD3{9#dp?&_%a-@AD(Al$}hv9u(OM
zx#Vs<CjCyCKBjcZ^%a62`zR#Ig;bM?*qyC&8#dR3{B77=*A^6PuwfG-a@@hdbZWt#
zIT?Nt3pV++eJt3k!N1v<7_SfO)_4sa=;7AI%k;evj)ysXqwk=>InEK13mWMi_Y~4J
zmG<Pf5adKT-5c;Pv!P0gZj1DQC_DZv(guu~g00R~ut=YYE6>Lb88qAT3|0l-2#CK`
zM88@f%XD$WY3w`*ie|7muXeZOvN_Y1OlDO~k?BOUIpbS=iU5PnnIx*%I7h2aB|CXf
zq{#8He02SKf>pI)k7=+=Rc;?;E}~Z&>X!$`vomvQ%uL}5L{8G2Dg_HSAldK&`_i#M
za?f_Ai#+kb>`W#+#5fOkhuX%}&a}uRDPY;fTS9Cmh>2-2L#Errw8y&hgT|&tr4{6)
z7my%=g?m&-4#6Vf_1IW{_!-tFUz}B9m5B*Ej5ln?ouSBtUFIA3lQBkPL(yl?3UZ}7
z_?fLVb3;L~&~8$vv*@QSHz+&4TM>Jm+#lS)ZJAXIz#kmAeH#jL&C#G(8Lq(Jm0{wu
zwuvs`n4r!Dn=8#$Zc_ysspW?1t@5m9P#s<#*T?Tr=Fs;WNs}Aqsa)Vsq%OxK_6<s6
zU(ZTn;Z0bAn$hAJ+yQ2^yR-C^Z?(RMg#;htD(W<&F?Wg0+#s%5#N*&`@S{?%6&hP4
zPl8BhT(8po{rRZ_4|$J9Y(+kfMH1GrU%*$3bqtf_HCx|eY1XlL4L3i>eM+m&DUJBM
zs=t!%*|W;adnW7HGf=SwHDu>0@RG2OCD3BAjv4YTaZ-a|uE?DaB)eXByu#URTo0xo
zQramZ(R=O`?;=^#ZCuk&4O;C+jf*_~rx-EWOT1!=N^kaA$Ih~MHp{Wl0GBE{hq6O0
zazY>$iSTGFL$@@V=NXy=w}P^C1y@eqfj*d=BcZT<8$nxaxj7Mg?}cim0mM2oW?D)1
zPJ)YBt_HY?<wh6*S5}1RGwji4L)Rn69v#!^9(^PJB71c5%ehBS?;DRp0(}#qvD8w7
z)FZDw^xO>eMmZZU0EL@H*T^ruYjNngxP`&;s%Ym?_HJSsm(~I2yEu*O3!OrFKRDdp
ze?2*QoK@~GPoYw^ycE{K$u3HPxA^sTqZo9`OHo7HDVkSoHyS~$m1p1AMsxU=YNZx*
z)<!d7U1@=D*=8qNP^uT(txC1Ie7I4swSroy6HPy}P;Cdz&U-uToyGjMQQwB37BmVi
zxcdZufQcdiC$=M_@W*W0Odjgq2!GCEf3_P{_-k&fUd#^_iW@N%nwtjwYHaC53y16V
zR;}I&q{KBlMRS`$u?3DS^P7k3jgby~nTP&%NAuwRas-Mtp~`;xC8!4EOCEKsJn=IK
zU4|A}0dzb_KFnzZqxD8BUk%O=s+~2HqgmxbRs1<ES^%mV;0j#wwwpZDv}jr>7;0~T
z`sQsaG-`k=$k7N2Bk-lK)hHAL98_mpG_O({ZMX74tynKXu1?g~ZVfMc^|EFKelJlI
z>D{q>88kk4R|9y)uEL%+nqP0X)LN#IS~}5ymZDV=ehL|E9=Vey^?{dOq9$mCqn&XK
zO+Zu`P*jC6b)vb|LTy94upt19m*DToL9G)lY6Qi4qm(ZNqd*@pRCs3uc$iL|<RL~X
zr9Ajd9<FQ#15`Ax&~DZ9@uz5V1&C^HsXa297la3hB_Aq4bB$V|iWSZ$UjVzcCQg6+
zX|x%%OZEKb5hSUdgUzFLxQHj0Bvevt<<GA)E0jd%bN9+H5Om}W1!r)EC@+oXz+jrd
z0tM8&AZ;$omdBS)&CdEx^dkHPjWqFHRlNq-CC-{*%Hh)ACh;eb=mO*_pq$zUAjE2A
zq|)k~IO(A$r$zHdgV8*oB>-+LQd-0>Lj~wPvPYCFw_2mkLszWWv}x1w(JifVy|%pG
z*s!7$oWBBcHdl0_U9kk|3Y5sV0&p!2yw`!tyTRzPm#jPpFgvd?T-2JuFL5(Vcr&ef
z9T>e5w1!DD<<>|Qn&@j4hJcGot#W70%xC~;awIR<Q*=My97PJbEZVubrPeBJ&X+42
z%2oIu=yz(hj-)@QIZ^;dds7?ux(SF{ME<6K=BxE$fuVMwScaqRB1}BxH^4GMA(Y<O
z9)%|6flz8yT7Z8l2QCBZsTV7?VW0sn7#5<aXtsycd^-mtLqQ36bqlmr4!|OMS+r{r
z{F!dd2jKgynlF?}5FryK!?tKjP&*$Y&J9H~sfYlc1oEoXN);gZR=!neY=BUjNDK?0
zAt09)NJ=1uQZU@?Z0)@7)4NY1|3wRxWONOV=~(Ts_+vWqM~Qr&fgkDb@FHAX-U^@@
z_2FmYD;x@wgtg7`-do`wDyG9Sv#Q(|O{cwzW%D#pi%?D33o@4Xh99el=|a{eqG^@p
zNWIkAhAPn?v95vW%5nCX4GgDf0-=#lVXv{iJRGhB=g#3P5iG`acrOI+ngZZ`2=18%
z;64QR%*0;^8nXawLXe*epoC!6JOD={xMn_pPayd10swzNu;xVoPC@YMJpdezVAsU}
z79-fw58$l`zBK^gb_7dv0A7J$j~4^j6Twpmo<s1)mjK8k_}G2`u0wFl{s4|g@Z*;O
z_!)xRmI1g6!N-;ZxDLVOl>lZSSbYG1H3&Ao3cx6WLk|XU6oM}z_!@#^4*~F61S?ko
zcqM|);Q&5_;J=Op@CyXb9SdO6aRB}k!4DCfvl>7F!3ie-Scl+N1m8ih?-~I6BPgE?
zU<ASRQvl3H@YhoTJcHog(*XPg!9iyLI0V7wvjA*GaMjrWu0ar<1E7xJ@9P2VbS{8D
zoCn}h1m_h11PJaN0`NTqGXnr~5gZl*I10h6jR58&_(&DNwFoY&1Go~wq)`CV5R~2o
zpn~AjO#n9{c%TK~=LpK@0~kSY#ufl?L~y_b01ig*{x<`-3c-V00sIQV%zpte7r}=w
z1aLKif4vw$grIZ@fC_^DxD>!W2<B`9umHhM?*=d(!F%5W;DZP*d>?>I5v+edfFT68
zeE`5+2&R1)z$^sc`UrsA5v=<dfYTAIx)#9E2=@3l0DB_XdL4kbA-L@m0PaGt_0#wb
zL3llYI)dYG0B{n5>u&_`1q6?N9>5a_&ixXAB7!wv1#k+2!LI>Wh9J5Lz`GILdozHa
zAh`LP0RA1pC%+BgdIT5W3Sb+8-`xh_&j?<ACxDd*R@?>PAOv&13t$0)XTJyF9|$i0
zK7e;2c=T=nPart(hX7uU;MfNMycWSvehT101h+p3;JXN}{yBh;Bbf3F05cIB|0@6|
zA;|q6z)KNahTsYW=l==7n-QG$X8^B9aMS+)_$Gqq9tAMzF95bZ2H*+=k0E#p!7rZx
z@EZiTJPF`d1baOVU|$3nY%#=ujKpJNh+Y-R6Vwo&$C7)DA>MT)mgaB(_s7v(dC4Wq
z#N1*9lu}%9VCkS=P_yFs=)xp_q4{9Bf+c!ns9qJTILW$;_EF^SQ)=wvt&&0umHI(R
zZnRJ<-&L=RrA&%uf!<fFw^6I>M6-+aY894J7z613Gmd57-wW&8rJYkja~Ul(Ko^4L
zvI#0DHaG}N+`Q(NCMY`mb8@K@oAl_=)s>)H%HfUc9H^#EVsHhOIakOHfhM~VQfk3r
zxpob7M(79FYTKa8g9;nl%6q9oHBIa`mF~Ft7TRf=AlFcKffCNG-88XjnTm=5;P9-Y
zPhES$+T&5@!oA#@#bWyx{^<aCHUcaBLhMI>coF<b_mCt7*4I72G`R>8`RjS6ImGDP
z?Ti>v6itNw#JPesT}8x!nGvzl7ZFn;hKOmeIrY?aKtg=;OUB5NvbPfrximB!b_^)1
z8*@Z)?Ut;1szXKRy3FW2$rqiI89KvdP=aG`9~G%CT!QlKrl?-Hi&@`#sX|3$m>H29
zdP1bcn_G`kcykf_$#@e}b|7zFni&Ug^Th$@&F};$5z`P3kdv0om`NN=G{(FpGcG^s
zi_0{|OrxiX#hABbM&#FfLZrl)1Fu&Y^UG%m#>A8z$e0gg#=-r*IIu7#4$#DyNgPZx
z#(XR@F8|jTmuZZdMo$xqG3QLns?zpBiA*Z3qI&ERFB>-o3S%A%f3g)5Q-CpdPt!fD
z+A32ltm&%OuwP~z?CXmI3uEE{Ib$x7)UPBC`qOaGlN!qK)KeWQE|1BK%OibpX=Ka+
ze|nl&jJZBDBH!2(B6p7wx!|1&V}2?UjEO10n7gGBWiJ~2m~RR;XU1f^Crp9~pPkEw
zcif_2@(u7O6LFXVn4AfR_t8ReAjT~s#4<Bmd?v>hvn#b?wOxX9sQLyxv6xlDGdp&?
Kg|)Vamj6Hat37T2

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.profiler_utils.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.profiler_utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..7b58ffc86c42825471007e0d93962fa9e3ffead9
GIT binary patch
literal 220324
zcmeFa37lm`bui8_dk-+|TQhJ0fgb4TVFpATWoL#R3A+qq^QQauymzPjz2+^<jDUcs
zk@(OLXf_d-VBB}bFB-S#=aLvB5SJJg4Mto@jERZS82$d|oLX*G-Kx5EZ@)J*|KH~?
zVP4<b&R(a^Ik)bu3-4X9%e-Cif8FJ+>1wUMeWWrzUT=)Yt(oqU@y1wZDz3L@?wMJ6
z+sw@~L*1p#%C=Uc(;SOuy1PJ+v1)B{ycySLHqCVR!0zqZWNU<vU)+kv+O<Yq4zDh(
zE~+lxG&59P+FjVLwI^exsk_G|&BjD+GHym!;4CxP6FM%qJl>8FWZGXnLomUl`*asg
zR{)CkOm(mB(oqR^b$)jdhxX#`g2`Gvp1HWQxzZh|wA;<v=1v>1M6Bl5##@NN;<3p}
zs|63?_riK*iv3zL-kDDS*jyRg+KeZ#Pp7-MUD<+7Gu7qQ!Rl_+L#p$uE4o*%zM>U3
zTdOa+>YBALJYn^8vyrq`k5}3i_(ce=1_)cL8Dv_+i0ILhzeX8Jn=L@@&<l3$Y_9Io
zU0AD+$J-U!F|t+<17xa)1J#a%|33=;{}}lHm53P7rdcC&hPn%;E4AiKchyv5yfYcU
zC{iJl%bEbpbcb30Rbkz$i!N@@R65n;s;d;rye^kA6LF>8X~v_Qo0a-lRU-}(lE~MR
zzc_KGcdSE-0*du5QDY(yBOvEIAm`HVQV^cXmS$zTs*tpM_*sp5yHcySqKQtO<QRT6
znvsNJgh}ZBAw5%BJqyTj1{0KvtB0aEI@yNQI}PM%&QVQp6sR}C41>^YCoZ}OE@}a%
zK>NGrHRG{PvsJqx9v!cZwMRSCAYSp%%4n!okC?!PadYKN_eDXHIbvOL#wxFjL7;F8
zz#fh%!XeDqE@1SaWwccTGk|id^y!{tU1?~1U4*C(M-10d{`bmg)v44#QZ)pN?nYCi
zIYtX3OmKB!_vkQ0g?NT`Pi1rwFnH1}qeI<gfbgnmu($|WcXtGoOeg&vYo=%E_NmEr
zt?3Hx7)xLXSjHRT85HdVR+-=?^KEm;Ft{WHl@-{sl-OeOWIrpj1q&RlI>m4EQG5wf
zoRND80+6M2^``30NY-0YvQ}R~76yRcn}9|;Hx;+z=41`F6Gfs9a0sQ8MJDEQygGI<
zA1nKkIG{?5nnap6E(ij@bmZUSM!q|*K2uR;3bA|`uzZmCu`i*9%T1%5?o<qyqdRY%
zTy>qX>W6%*PG?vB0AF?g?!3sD>Opm?>YIgG1k(Y^&Hw<Fo{sC|VERV4gA1V$k?-I8
z^WHjX{z{$My<3297Eg>freMpO>Fzqc19p9Q(B3f(inoxobB4OKE6pu&dxkFso8OLg
z%+Stsj|ws@sK-0ju^BH$UVIs-@`cPs_8u3{V&^6yMEHJ~@E&091Cok+=*E)ET1w?5
zqFt~$eV`NbUp>UML;MT?@<9oRN0@%^nffm>#6VHPsV$=Pj5?8Bl)fSW@<~pz54iT~
zTw%gf{dOuj)$ioUO!fN~X-JmC!hr$-Gzb=m{El}4Rr#Kh8b7v?He=YJ>n%m=RNV|C
z=&8>ZLD$&`s(AQZbCQ!0K$8Rt*)~=1Yyc-7u$MF40o+s?n-e&u&FH)KqJk!&`km^c
z?vjbl<Rsbr>g{M3#;Yrk2^Y)*h$<+DWUm=F#=yB&PnN=g9IBo!M7w+XrNTMnzEUfy
z$E|iePJR*`EGu}X8Huhyrx9KM@n~DEU6qcNbkJu%ku)MnjVPRK36=z;1bXq$2^R->
zm5g)TfL%+w0~57)a(vYA7=!~1=Xh#Yv?^`lLrpJW;1c16@H77YUG<S9HB2;^ys`+L
zlUo^cZpMF@?133dk=WcA-;se7nwM<`!HwH)B$p!kqqTNCl^veS>#^g}s#PSL(Y9)B
ztQx^S+v3t_h$i2_;QTNNvo<S}qi}j{)VC<pcirAn@@K(R=`O=y#dJJYo2ZS=yjI=r
zlj~p>!+Ix=Fbci}{-MojVf56k_ZYrTg01Sl0-M-T=;q|3EtwlS07SrCO)+OioP(*_
zVDct{-o4vFzvPV!(fg@u@(}zZ><-^jQ@$Q9oD0d`c7wB(n;gc@<n78V-P8l2K-T`s
z14#uE@h1=xiX7zy1d@+J*ViT=gZ~oql1Jeex?qBBe+z%R*@ms^Lcq5Dh;12kB!I3C
zz!r11e71a*pew)@@07{Ch|XYgcfhRwi*-f2;Bz;Sk~gxh+o@}E6a1sg#ZYpa@~pe~
zQtno8Cd<Di35mx8yXvI(6M>tt#W+ZsvE(jg-HeRx#$=Rjjlv1mA4-V2`g5S+U=i?O
zHycb2gb^7JPjN_)l$`2_Mj@*E*?t3%0RRx2RCNW@8vmfpG>Ca2jHGaw*M|(TLlZbL
zEZS#!MEq!#tOs<ui@|H6qgAp2|D+?i^7rC;gN11C06J7hN$D^?%wa7THLGsyo_s;P
z<7_mvLv;L#AV?N;WP|8fSlo7mFW`-bU1w-SH5L!Li{*F<^FvmFPUn?+z0uAb%oi~v
zgtUr3rJR!H#6VxwXt^~<_`qX0VlWw%1H1RkrRb8R5XF<WO45af>A0Z@?XFX^Es0{=
zYlf=Zs@t`LfH;vutWF_l(!yy7{#yn7Nd=!_%4Yvm3iQQanX`DedZ%@9h-g_CPxUvs
z2Bv05o8%f$^<*RbN1H1dg(sl_4m`~y6`Ti=LKTLi3`d$g<ZC%5oz2M@bQ3gSR#`p5
z9CKy`@=5C=7A{$L-B<%0O_od;8ILC_oyj)tz}Inq5J<-dq|v4H5s=|QgM?LiZtaGx
z0p9Ln?s6)=X7YBNmoe`E2aG91q?hk9Akp;_vP=}>;x=`9$0`;t(s+V<#5-`B!Q@Zj
zAK!M;T|~jHvG5p`5)Df}3bUs%4H*qX*ErrjJy{#8wP)_24%;ft`pg~7!@3tnk%vW6
zpv6I)G(uVVG932isKp`SMHw<TKQp`v2iD}v(2t$oll$-|JHVeVguQ#jx$)#QWNVof
z$JAJ>GBrIJkJjp=W7ST5YfB!$L%K>^kvxX0frH5x6}zS`VHSwzG}WyneB_MD$;P%;
zv^Cz*irUpmJAyQJG*xS1ek=mFd~-b3n2Mn(j&7(-c4C%-q@FNlWMD(HF|}@>+HOy`
z)~#N>ZQHhy@#a)z4DxBs5g568?eS|)UVZ$U)svN%?^rcaYgOassvVGFYprTkI};O-
z65p~4IET5Mv05u$)r>J11fi8x#7k&iEltyg-T<50k#4VM1Y!BUAuM3$&;rDeqk_zn
zlIqyhe`3K7*ymNGu8=AIse!v&QOJyTnzfna=P(BC@6$MzkuSt1d=I-Hdck}cq6l=U
zBrv$Mr;bg=l_q9;gS=SboJNqtsy4>KsXd|4xDi@TcWosa!pc-V-tAiMyRnG?Zb;c)
z+^EMRQFLiM)wm&!DwC5DhKWE=K{KPXnFSoGN;e5NAHZ4oy!<bnpL@?|)>eR|^K+=`
z^ON?FW4jN|L9bV^fPBZh<yNxm&`L%TR|SjkLm|GOq$nm4VvBPnFI3#H?qMNJNnI!A
zwt?2>j??+HTGHC)Osg9d*&=>`bf;I6RWP9zp+gr$iO@-R6f$nfanRZ4GKu35O9@!1
zrZ~_`VYXg6&;%;^(B0iNt)bLEy3>qz<dH1ngtWTT&TJu?FLtg^!~}9$*Xe!{GadTb
zJ~<!AoNNRjk_+(HwfO5o`RgM1rJm!N$(Zd?{*<xC^p07WzO@BSAFMVD%XhToA%hwW
zUnOc)!Q3^rMTiNOU0JN%0&Ek;j{TwQP=~X=jIFy~j_p1$Cv6?!J{wb)Vwl{H$YxF5
zzD_n+?3=x_&XBt$QF~<6{ufLbY}8&4oeLN>8+{a`HVL!!$*Aq7DulFYj7enE>YR?H
zZJL+>Y?|bKiW^JgQkjRxrhNv0U^eZu_={{B{pycRJCBDnMkgv`?M8D)QNK=><$`N>
zN-_Iptn4&(-SdlAiVD9|L~I0lP>_oyVIGI^03jtA@G#brI)xA=rC3lpGmFJ!p6j~$
z9WG;KjORDy*zO~9(RgMkg0xOO;pFQ8f1h;Q$u*4bpzHDzq#e~YBu{WM+SUAY>EW*3
zz*Pd{Bpf$(q>sj67loRJ%{!veQGWCv9UWRJgC}K%N;ygX69F7de#POmi;C*2B9a*X
zc|1k(mlDa80cMT4;*ANKNJ_c9v87VsZ4TMM0%5$C;V&{?^vhwqIK-%uWe=oh;HhmZ
z1Y>65n4MJ2aETS&7VAxOQ9V<z^K9T@!Ul>VLlnt61<z>1(Q0<^Q%}fCL`UH_rVpf8
zQ{3Yy5DRx|$bU{gT#oHN7wDTFm3P;uM<g0j3MB{9X5N+-NiL)|K~?^jPSO`kvRJ)8
zYlUQTG7JKx+oijgEX8d=V7LM<fEsz5cZygVe(B3z=v}ruuaPOmP0q(5gJSKa-9@!J
zz2KvS`WB#wi8a|D`m&q+%R(VD+m#vJv=YwlKCRC5bfeiGZB130?dv-Ye3=N3iOEJ4
zGTmcS?W_oCK(T9bA`AfvruDA#SlBhW02<^T!XHAQ0)FY3Z1ZB0Tm{V<_y{MbV2jpv
z8}=-m`8Z*iCe^Uy1cVOlL^?7VB#^Keu{RkzCE&29X>p`~&Hy3*{7{66QW};No>GK(
z?paNEB?%&XP<yy7Ej--8N)2(ZV4*%L<Jvq49qZ#FR^N)-7{n*>k=uFiCX^zOycv;!
zx+jiP_$I#sM=($3K}is|EGV12pdW1V7WRf6Pd*Auvg66e@E7gy^vkuwGjM0K!@n46
z@@BEQuPL^<W1+qFW|0zZ?%qEa_jQ6eZ%aR1C>RnGRA5+mwC+uPK26L{HS}8wFKy+2
z%Z1M_x&E#EujSaePSSK2-`7SpzG0`kz<lV%_OEmkPoM4IrQbRse=LbnU<3b07^EJq
zOy6GJ0=`dum8}ZuxoMXq-g6XEa2NAdu?@?=b+CV52JGJwD8?S?b~2VNWES5pW8OWI
zuXHUeD0kyr@8Tf;dR3TA+mrKM3I;~Hi5B8hQI}$^AAFxnF#<!2$x}W~=u)Jbo_r4l
z#&9YA4^gx)F2yp%;z@6U!9d=`ml2!*Z{jRgE}ACv>6Kzo^Qbm~RRB?~g++as@5j0z
zddC6GYdqP42TaeTBhiz&q#7nKMSc$^S9#g4I<VjjP@v#T#0nzA<$SP@`HBxAs0KcS
zg`Z(QL>-o7K12h5kq<$?Ts{N?cQ!u6sg&WJg%?pUZB5HL{Rn2~eNo6Wh42cvS@tGw
zubQlFjU)B~5Wd%bLk(X}1XuTl8u+@6dUW<NAdZ;M=5{@eST0N-!+C`NC54Ih^w)YN
z$-k$+N{*eIX>5)?IZElSUMP*7qL|!=*y3Dz8hbV5b_z4elJ;2>IL}kJJ}B6&bMnt5
zH>^&DQuZB~=zaty49*F?4LbV_ijnBH(KX#(l3QT5KE;h?qMJzv+DD8QGwzaoyp0pm
z9xZkiKPVPcOdzM#4%J~6^Kk%zS<EN!7g<dD<*=CCz?6-to&ww2Y~rZ}6WzGlENtcJ
z!d7yq3z<r`HXL%)aOMK}6bvQ%L)WfnxKP;rQoo)2i5xpOQ{W8u*_g=`!{oP!Y}QPU
z1e!P4%TiXzx@lSbb9~@5WF=`LosCNtF&EIzM%8f&G?I&8!eAr006G^ik~XR;M)E13
zbf1i*Oq>%5g^gsaB^&uqT%=3eNHGD}NGUNXZecd^L?9=#k<Z6pWFzTUe{AH7ryJ9=
z@FxpKrC>3qg`Arq6oQzn$aUiU&GdFidH3j#E?_T5jUX|%ZX6!pL<O2R3`b2?oXKB<
zg<LDh9>r<dod9&)8f!G+a+>J|-Or(hY*kx6p8(-eEc~sTfR})*lubxoAji&i7Nq{}
zlA*1`(MF&%KOUr!t9e^Rzz2TmMA|G7&2uKzu+z(66y=!M?J|vNIvY=_`K9>)30qad
zk-QViLiu|w=9M$a4W$5S5+Lpnx$s7(arVK4!L6GgbuSP&Vt6AJfn*bo&Te%tnyoNf
zP6xA^Q)lfx!4wVL0`GzegSWspK<5HmppDuopOW=3Tc5T-8B9V8B6dK=aoPdT<z%$)
zfTs%!*nP=)GG+v?S3)GIQy-V1c#I@5^9J?~f=gTAosjx))PT@Za~r(s5rMT_-)urP
z3U;i(6L~pP&*zm=lKeTMHkf>zW0>zNA$hPG<s2Nr5>+3S<Z)}Ea%2+Jgh`}UrF;%^
z2fhYNGI!u_@fW!R^vmH6aByc6WI7#$1J9AOa0{MaELp`Dbh`!*&BcV3ggVbX*h_H_
z7-2I(t;KROw#Cc8r2tc4>!(}*?b7Q%u>F%9+kFm@Gu`S7g|<>8lV2mg$eL8;k|*I=
zpG@m=gUQmoGC0V*{v&6B)x4@N@17uD>Vb?t_Y^A;%Xd;re`SO>sYaC+L`>JNYIoq>
zM;V+iHCBpQvd3bwle^(RL05waJNZMRH{rRI4+gg>-7~Je1V9FW;Wfi_cc@1fp10v8
z(Gc8z+g??JU19?Iv{yAc?UhlZIS%g<4qS>mL`&H;CS;NVH;{O0y1hdp-`_=2DjmY8
zbZ}WJ;cILul~M`CO+j_il-)!K59}ru(GJ^9)&RV0H(86nXg8r>uHA$&bvC=nSrAC(
z`J-8EC?^-&P|`Ksd&-;V;+~=cp0}+G35$~s3M`2jNJognlKM!BIqf+YdS%?d=bS6Y
zcAp#MPPd)D)k%y=npjVv_Cm)|7!+{AsA5UqM(W$^I*A+0fW3`C39gg4!@GvJPJ*vg
ztWM&7|9U0rBp4WOdoB*$Rz4N2llYJyd|#c!`-m~_Q%n}le4H?lkScs~4MJ!5UuVLz
zKKWmJXRV=h!5ApynylwE%XPudI<F2FMz<+oM|V3yZW`}Fpj+NqJ%my@fv4b1^@Q|F
zdNP-^%E`A8hr#5V92NUv!0;mID0?=J;BSveIw&q$PwF~&(5okNr8xhX;ryerIHSY$
zgv8k`%!<P$L<Jl!i!6sZT>lMAGKcGT_=_Aa`sH%C7>j1(aGl2PW1EGubz(7Ri>>E&
zwB9%u9W4QLo|AQsFe{v@8`lp<n~ptpgL(tQ74+$V=xkPwjnz}D;h5j7U`_UViuP|{
zra%qoFA@;21HbrFN<8^q`z`UE!u-D1UUF=A?sFjZy9S0fuHQ5qA&FU(B)J|AmNN1<
zA6ku2dw1S?;l;u)oq)rV2v%oHsUJ~yydfAB;B6&5(*8W^t~gxt0eS%v{nmjxy%bPv
z6}ROQ2;erH@;*5d7egu6D}0XQ7gYqyt|fk7XbznOR|k_IFkXKpOc)%mzZ^P;@Rwg;
zVWVcshh!Pd)+eWC58e7mhlVkg9GX2iC9MvPvbTR1LiX!1U_xKQsKb3v5L>EJ1ZiX|
ztCL|jR19Ny1#Wk2;O%j&NEBV0_3NUuH*Vb&of55we+F!`O~MC?Fd~&Z-*9w;KIIJq
z=hdUQh8Y5QDYXS}=e4T<D*WFBTwB-JMlY$ZOM%${ka1`>05n3^{(p_5RG{Q$Wcgrn
zBj<d$|F=7iVE*5BDK_pyfZ_`YDFa_f8kAH8!hE5-VM*o--Gjf#7ouM-Ux<M_D_@9Q
z_Sw{c74(JJdQM-67qodw30^ETUP6v_VD-FGS+TBB0k%ka4mDunPbo^|WW0}yf?baM
zPR6_B*tzLs2>i*-OP!2DIfWF*<dcYQb~7C+#30K~dTh=FRQbhm(V6#Gk^y-RPT)rR
zWtcE{BmE+DF0hf>D4AN3<Pn&y-y10>A|@@cLY6U<Hqt-il(cW80Tr@h0y!;Mt`xg4
z8~L9A1hbL9#$RM3>6gPsGN$XR7$<*mQ<b<m7QmC2=;{OcJ=FY@J=%q-?4qjqO9gZb
z@E1Wxzf9<QaN+cNc1@&mrzf6h!4WC=ZMGML9cDAD={8(^VKLu;Uz(YTt{5DhjO$z4
z)pg+azz5jql2Z6k)yrdgK!?e5;yQbCeItJIVVJJ>8;;JX?_loDP<1C?*t`N*?9KrC
zFKj+Yj_p1?mrnl~-tdcbZk6ZDy)0eW3Ek47o8n=Kw9ORz_tBJK$#FQ1v0ojILhKbG
za)H(B81^)W@E++4lFO7H!h_bH>FAy5MXzelTbv4mAPXGw6|3YD{{q$zStWdd?6<6_
zMU`LWb5`>~2^q%OVr**DF`w`QrUVhf_E`ApE3B_>vi5ITZ6@Lw{<)9Nx;a<(0TCR)
zyu&)i6IrU*U2d48jHC>t9fY8$k92C?;ir}z{#P@Yg5>0W{{nV7;R{&g1Y3F|C+|0A
zGC0>aIe9k`&sfbz=OS{F-xmW;Hv6RqoDR<2-?F;6RE{yidf)0brInTP_3{a#w`$Zj
z3bmNG(SY=4en{=Y$`{BI1imB<pU>3w?Z5mh6qh=-NC`6RIvfc);7=XQfdO633~?<=
z2)bZLU*SOi3IT-Z&WATrjc--bLcJ!&upiWd#F!6GqCxF-{sjVPVSIm))+j-Sc``T$
zzjS_G<cHBmgj}P<KSyY_OX=WbU(lUio;bzFJ4Vn#@FOPk=je#JKUY=j5mT-IJAz;R
z!<|tmqprhe*P#jy&Ohb{4g$JLx+hae^TA}RpY)1&AQt!y!8z~76M?H7FRk$KYnNjz
zxfzdl#(;u&!NFLg)y6!2wQ>Xh+QAsVY6&k<XQUn;*xZ3m^+~#5n7(_k4L_3rQ`O^m
zJRTo`n02jPt4u~`HOAwpHXc_f0l2e1iZH#i(Mr{~yYtrup?$d_w8>B4dTe=c>+^RH
zcvVB6SCNWJf!W&)gpDmz(bDwm3a^GS7`NwNS3sJXQ7H9Xz|}k1flINkE2KJ<Y*Vhb
z2Z%7Zoc~=q^^2OEYU(2$#Wx3|h)D6T(>;WPR`7%J1%RLB19i!L7T6!kJW~>6!^&|O
zKexyNHdO8dhi~>t6u5XCzg@y#SQ*kkyQrO=Ip*3k9raHHqpp5@aSM#fe0=dycnBsB
zZo{yBGZS021J3^46@KI-pm`lZE6v%{-4!FASy>xQK0?sCg&8@`zmfSt>gxYS=27Y4
z6xoJBHDsFL6yGn|nO0|*dWIE}nogFQJ5t6U8B}z`pUbWv5LPaBVXMKe16)X@jB<7X
z7MU~Vv*>#Sp&P{vi@Z~c?`6I(U{?O+MpW?}yCuGt`2cmzw@dQ-n4Hz}Z%IVr^WZX_
z{C*;Ei*z6k%CSg_sW}>tahi~V(@{h31O%5Pki=LVrb4?*M7p6PKsbhr;0vzcV6qZM
z_>w*-9Gs0vmqKjx%Mt$or`VxH!qPv8f2c$F-jYqO?2O|xoGb%!B_PD|Ggsj+%7D<X
zK4d`7!cW4DHtM5rKhi{PGA@_@2z(XKSgUOI;|0b%L-0vI0sp!PzBCOtimi**Zy$^4
zHELN!$ISE2PH{{F4^>mE>$*S1F)7E+t=H)c24oT(%QGEVdL#2(S`#vhw@7r0CpS`3
zC9l9~jO50lei`ASk%p`HH2d=&N@hdpA&lrU^_h;_y<XfLnT@+(P-tf35&r`ANC#iQ
z60yb>RczJF2B;XrI2$~ik8L{UpD<?96+m^~LNgn<Mt+#+Q6iqPnmuC8$lx~dYG&h3
znpP>q+)Xt$88MkBujqzfI$^%&CyX7`zh}z_B{6>PU%)OBd;yC{V2eW}mP%{u5)7q>
zPK8}|(`PjprXE0*kDj_eGuBmB$`_LVA#xgP`Y2ySNb>t)TEk|!^t6U@7i(7IY&XBJ
zoHb38W5DAjeQZ~nc)4+xt&>mDqhM{H=f-tO1W#?)r*uoU0Dt-sJiQJ1&V#3Hzo6J&
zjf;40@bt_}<94T6heA}`>M+0umrzvLH57Q)B>GZOj2BR}qM>$NZ#9||_%Si~ih2#d
zh_WO707@^Wk}8#4jI19_E)13cqyh$C=hXZ98UKM5l%B`20`_FXM){{RHAE!N;+IsK
z6{ty$n=QjSSBg+jM2%jCgH~`4q-Rm1)rwmY4Z-dQF72x5Vt^aZaxB<9*_o;f!DE|{
z9*59e6A?I4<~6XtDHwY-5^*k!$^?$K!$S%j?HUakt6-D1qnPGxm+qeYbKaxy4n9<p
z*IL@0NYWF5+rqP+$34dMhM8Bk7CcVgg}n!p*AuwzuBwy5zW;6c&^D+!?EBwQ4QO&N
zOzb2Ud{%ofk(8RZGLKM>FkFV9`*#oa$cZ!?-d-Fsl~JjMb_L)%Ib=kN^8j3vy7~if
zYvX80`WPhs>~^22xYep`iP>9G-0n7+;k9Xj#~b?_fI>ylEdfp@CXe8KT!YD12qB2Q
zWhEY))K$zn-Q;fQAoC51E5lV*c_NudXQzKOCU%3b$oi86sJp8w>&d&Ib2m`de*}G<
zWFlFYG|I?&hC~ioxAZ$aUnnHix&fUzFI9%+Oa2#gh?<dn@0230*$9}G2gGm_3Ji#C
z449P%#KhiPC?F>MDY++R17b|Bya6$kJQff;VR!gN0Wtd3hk)2A)9}3`NVzuZ<w9Yr
zF~cJa(TMoblD|ef?b;;#DOM>P1Up;KK&8LyB396wrWWRI(eH)8L{+79`{R#@oh!$7
z@109Uzmgl7SlCjfiABMbC(;^`4c{n{D<1z!36ord(-`ruK@>}eknosA8vGhaJM*?Q
z?6m;f=qc=P><=A@>%B-g0$o!uC^XP@i+=%oRD&;IiE3brDve5@ixsKS&TBfRfV-tk
z?p|XqU9wArx<bq3?jrgb%h|&ij1ulWM~!vWXj&!K)!QoGKlhW%4*$m(OhEy#FZma+
ziwa-BA}ZM85S4<}-rqB3GB~H4OjH-l6Z8tK_WpY!p0S#b&PC)Tzc1b1B2iBbl^*Wu
zX%+9nJ#?NKxEH5%p(@^au)1#7+*P~>`XRLoD_<bYJRR*{p*Sr<%~OU9-YVV~`oSzp
z2ul_3IsO#_2vI&hT8tLg_#rJw3ri7i)xSUhDfBQ$H?W8|Lk3R~?~Q&KeMHE$Ng@ty
z^Pkee$ys2v`VoiTga(<%p_$)Cap?8jNan_&Pvw=l5PBA`_C?#OwXrI{|FRXKzlJ5f
z>Gkkw@rS%TYPQoz7chAUc{P|k=x3QCR){^upXaPQPYk(_<Fhj&&mSm4I}v$)FAjoB
zq)>1U?OEiRKIH{Br_#%!C`l6-Er<Gw_80}>Yz?-!TkfghuYz$_!%FwUs7$>1i}279
zZ^kCgfiw0^J^H4&|8{r(Nn<*<Z=uB8zDwY_yQ&Ufq4@F-VPYq7DCWi}qa*3viT|q%
zf}H+d(k_*<B#x5G6KPE7P`qTh&NDaV6e2H#LB1rUO625MfMsZ4a{wmpF_EJ(2!;@O
zK4_^RFa6dDyQa*#BmE-m34w%#s6!@VoKb5>#MshrU#kU^gzDPcVS_X0N__=aM&$E3
zijU&UGa{d*uKtY3>NM1cR~Eos)=FWrj5%RRIlBqlW|j*TC)a}I#i<}7K@yV`Sra7K
z6mFu^V>cuK@r7r}IkFwEFeVGK9XAqi?yjY6$E`52lQd+YC0#Nio*|1v#4Y^>MPav1
zC?vhQ-fkf9=FIs5zd47H8G-jsDH0){3Q!}S2tl7HFcI>ufLVDWM7V;55+TB&moAzm
z5kmWrHxYt8SR&*xlqE`p(62ruLN2Uy+Kthv&Sbj=Sq!KfZ;iGaTeg%f5k3`ne31^3
z*^o?L#I<PIG|BC*33=9J8g8hov_|0bSn&w?wj*Z)oEw;zTklMbHXGXj@hW^gtJ;_x
zr=$v8Pxpf79}oW<j<5$5QCNDcJsu45snO;}W0G0kon3eQGmsF~km?4_pJn;69NT^S
zT*|Vzn3+ks9O&-Jaxm@=(jw9h@*7Es;whPwiphWBG)79Mf*P?7KC;m_3FLy8CU)qG
z7w?jMNP&FM9((%a%#rUIfI)g(bRDgX-rYK56F<bifIa%d7qA5Ju|?GjCEqjX;ROTF
zIMe{R-Z8o?tu<EGHL^r@$h&rarRE4R!GOY^3}EDR@6T$|Xc0}TB#p>Q`s`>%==RQ9
zULhW~CY{Vz_{nTX@Q)bKL0P3S{{nV_<O^5?5?dSsnYy=G!Lzu#JB*nO)+#|a)rXyZ
zR;fe8GgkA`*+B+~u3fM|sehVxieNkZ(z$$}7gz6R9Q>>R7_<*OEMj}T07U$$L-Q^_
zG$lUrz<?~NafkT)61%qPUW~w&w9RPJG5<?1<_`1!X%ZOqavQh#|GIwxySDKKEMkT&
zz0tNG8#5X5-#2ahM<SlFnqAxcWGJ9*yY8h^O<&!sZMiUL+P3T3<Av<uPhHmb^+QoY
z%NTG)v@E|bCb?~{pPuAiAWsHn2`D%ftWih)1TXR>ya%>OzMHTb7WTzbjTbs>sHa3r
zeh8j$KN4yG4f8@kfi7HS-ZtfJp5p#H$og33Vg~g#oEMz|$K9z)JC4*NFT1$~PrcE2
zJRP&ICpX~Ya&X<@`&RS@bxUT^W;KW8c5*dxdN8>%nBj;wrqG@%XEox?WgI==O!i%l
zUS9#SwFoUmO09~6R`9c1&r)j7L)nRj_)$Yf8z_8R5rW0`X#EY2+#K3#f{|3Cke9-!
zOb+dp@X(P%!zOJ5HC$6Yy|kx^r?BqX2B`pa@P5cxM&EH%bBAF>{_e&D1h%`Y>h>1O
ztvw7AJBdc2TS>7@=r%(zN9fklZ)qwJk~&@GAy^4>RBCEnd5Bwbh@^yNZ=$aLJj8|B
zvs#*ukbyJ$tOE4h3?E;Bcb4!p2&svI4t%LuwYN68x1IR-+Yq)UNhlJdZvY0Ww7O-(
z$zGAPc#Mc)O<G`+x{A4_>pGF1>a0nNpBa<6K~^OHX#&pORh9hYL(n-i;rR^ob&`f8
zU(zKb`5Ce}B;V5S_`;GS`Q9x)7WBx3AzzQamP7J_di0X)nJr(B;AjT#{j~-l%NMLl
z#&J$nC8J4_lvL^Py>%gX3!773get9osT|u2HuX%EPBJEQgRH312?U(GYiU(F876j;
zhEz$?C8J6ivN%-9((eS9D*1#*vc6ktI4G0}NxniIoJ07GLV2eY`NACmYRdD4=<o&R
z3uEe<|H`qv0E(-b{96*3bnB)<g32$1+JS>|{8QyZsN<XQSYv7m4l(ehqXu1#GotRj
zBem9OT*nW}jkB*%3RkW8K#5$p_*f8~JBv_*u8aDU0MX%0MymCg$;<d<0PL+_mSEDJ
zNqP{o-&+JdaTs|Q4hm;>;qb!ef`KY)|9DixZvj6=+;JOUumQyIPvrL#_k$tj3NhSo
zR(KVFIKCFD0ua#%$w*5Tz=y!HbiGvo*n?F8{0dNGRRHv>4^;r`Tb(Ui;#PZf8WP#`
zF_ChwMTUMM#ayjy-v8Vz+<5LzKZgQIe0(tgK9d6Jdy&@1CzQ5_QljW4>cCDUJ3D#5
z+djG%q$`9!dA~%Consd&XL(B*arL_>*)GhQ?v-Ju5gHzpNEgr3rvyt5#%YW^{V{=p
z!zCrnw(n;h$h)N(cB*_O!4w;=@<iV`)_AdWBwJR&pwL|VY5oQ5$riqVCE0>4nlqnb
zogRXX_z@hiEvd~bjG1(WP{Tp$_B8v{<{uI9jMePP7C#vZBwLzZT)oMbTo|-ui*m0N
z<Qy#TNxjMsNr{9D1JJ$0s)YnAiS|k%0ba_d+3JigEx;Z^jo2T$20iS>$e}?GGC+cg
z1K#Ujz^*}j0gDD<OK&vjFO8WDneJP<^3y~-V>P=5`N>c~gP!!_>eZlJ7>a4oFa3~|
z&>#k25e>@kiz!RnE~uw02Qpq!km+8&uP(xdDD+M6mchCdWSVDwCI(wHrBXEeCSg71
z-DJ2JM;oIIJnWk72Liy$lF(*|Pxh}JK*RDctTGgGg-E<eX_KRLa55hhq96I+6=-I7
z{+D@ilx1AV^)EO7yYe#Td(w4kc-Uc=yl;jyFGNe~@DfF<(P=^%w9NJv7$NtdWD_!S
zFxeQ)Pj=v)Yu`r6`swU~zN<N2J0+<*U4)1tjxvRVR&YnZXGz_orK_LD?8R#rct0OD
zL%jg=SM;>5;_UMnq4Gou4h4>07mTnPWVs4PWfHu93=bU<cx=+FqhX>7C9~dYOlBBO
z#c*MCm#1+bCg9v%RTsZd8uw3OVkc=R0x#*3iNI&b;)uXo`t4&A1<Bg3wHb_rIa6vy
zU8&ty<q!^O%wI9Pjk@|%yU#;!Iu&U63zJRa&Pk6<=eptFfz?$RbMxBCE|E+6CLv-?
z%VLwdin-YqlH^|)les}wB>5Qv&fQg&<m6H49GaH>CG>TYh9p_iB_qihvN$B!(r<r<
z45Y&B>H+d>&X+IGPvnp<BhTI`MMmfq0kiUC0qz!ovEzig=4XTsX0KyLJfankr=eBh
zdLGR43AQeh(zGL-xSuZJZb?H@@x0L*9JC^-0l=240>B)x-5vZM=?5{$P8SzbCTHUm
zEHr2BE}>*S2a^p&0L5Z90p4N|oHJptuL2Qq;|xRGf*7VPfV@LP0dC7p*($;0Hsx9O
zpeCkyeC#{uQfCiI7vkRLB193~8^u8qdO%kDFcpiP5o=OzHE{^zmL6J5sAVu|7Xd`&
z&Jy6xGz<>p4#HlHJGel~9lv_>%#83s3uR`+IYGLHmdwnfASM3H4EA7|nKuEZEHgvD
z`jDA9gJ1X(ll>@{m7(iB@?Xl-Rw|p3X=$?zO;xt1hEL7E43o1Qny6`arYGZ#m*9Dg
z<!grFt{aiNd6qtE|EO1+{K=aS%dy=D=hB;(8uK!*TkdW&Gh1Uk)otJZk%$&g*rY^C
zzJSvh37a!#FI()Ori7jka?Z)SrkRc1wXR}MH=gRm_y;dB98u|S!JyE*&QJXd*kf0G
z0ZUXGTQtWy#lB!(=MTnAZU;tnm1m#V`EMegv6?+9?I#25zoD<J4eqZ~O<&y`mCl8s
zSX6qIACeMLX$GKse^&E4PY~@D<?4N+bb}W`heDkRgF+SRa{mH$h2jfX6bf5<qfm)4
zlP+ZaOO#F!@r>2%3gst50fqWwFRosN%7vkrLOtk*q=Z5-081)V4-%yx@nYoApbwA`
zguU1KIsXE74dM$}GzeRIqe0&?W-?@230d}bOL~HcXRKz|AU_!jXwa{`xOz1x7lvXQ
zwD16(e>xqK5*ow+ETTdAeKApL^FH-N>7hZV5+ke*5zK`&&PY2x&r6sR2A!{x|Keu^
zE9?8A`|{!!_@T6GGhZM}hy{3{Gw871ze0do-n+{#5Xgc588_Cl)q?3^F+PZhW_*GY
z%GVmBbdj%mY32X|*kz%nrLw2)Ups)B<rB&ox$@pYd7B?nFO{;i(Boeeg?od4fdEn%
z@<eOQR-AOjb5|w2!w<ceJhK&|KliU4K)D_Yk>~#CulnKi(I|II5M>XxT_GKuybsPi
z{V03*5}u`a*#nD(P}#!=;4vB`a0UFYy{|imT^k+4#|zb$LGZ<QivGi!W$?Me#u&aC
zKhdd=;g@mn)y;;igP6?}G7OSDgFG5ce&%PDB2tJozVtq)!(_yar#Vi*jQ+pr{)Zw2
z6gh?8;h+^fnAWqRh)c9USTuA+9b{)CglC7TvVIf2@_tceJKhh)-wWn94Z=t2E3H;-
zOC54hAb?mwfx^f_ZF>2H5m)1B4&$j5Gcx!G9jNct#=fh_n3`ezG0-SeMzJ4E1(w?O
zr8jKSd;()L(v!~%i8vxy$p6y89x*0#gN^wxUP^Hs0qE|k9$^ZVQXCHxJIO-{Xhs_y
z&3SGQ@|-g0ar%2nn?@w9mE~8LS@((pWKGV3&Y^kzYoKp&vU(k;=`sk05H`1b{I)VH
zzXAsN(uu0X`bnE{E|S|zQP<;HJXi)pPFwK4%+Gvci)J$%l^K?P!-Wi~v@G3X<6wt2
z*G`=rS5?y9IUGfE#jBE*Q&)dg($1;1`?A3bw+VHstEf==0wHDHB(O<i_-riM_l(Kh
zAS)ZhcL+Fl*Kl>yPeI9(FtL*~v_VL^Wb`0I7Ka{K`dN$VQgOF7gH)R{<xBPFatK#Y
zs{2=Kx9>r^jJbL3WS5ZSJz*+`yMs+VljN1gWNwfZNj{o@b9XH*$;ZLOPSTJhOS)tv
zIYSnQBwPBqD(O;TcJ%;xHs{Ni=iPJ2myu`hl%m#dw*W2SrCWFi2`Ua6OnyUM^J}%>
zYsKwO6TXWs4i8|2#f$m$Owy7L28}{u$E)ckaS*(ik4LENhj+TGE>dn#x1OrgGf%t0
z4ghK8)-5<WtEMP8k;E*aIR=y4iXcZdUL2*RAWk>KV4qWl!ok^y^ax_3q!})N97Xd1
zXXM-pya85$r!sYbmE2i)`fw4n#d-LRI7q?==;$?e`v{)GrTD<okxQg_rJQ>|PQfcA
zZQWD;P|v~SgGB&U`7;3IdoK(Q<PYLjj6b+Q5&rDSwQg*>1DE4>;Hw;*5PR~v*0e!V
zf%NaIMMxlc^%WfC=GCzmTY?Ki00CUh->HwU#P|Y!lDYQs*i^pn;>?VNMP`vWB{acc
z^8F%cshnK~g#Qi<4&*FSq8Mj!fg+q;&NMIOA1BXprhe&jNdw~RZ;KE>@b%X?$j#UE
zRG;eH(t{<#^f-S)ErZE2>;P6ql!m&U1u$qTCw2ouEr!8?oIu!%aRL`eIpN=0d7Y~W
zD+*-%gEm9z3)T>UVW6xmozn*nu|u`@29mSTx4&Rl_|FMI6#hYW{MCm#*B3Qzh?|p@
z>2ejWtMDzA{0djThP}46d(T{|#FU^?)#G)dBp(zFOw~{|77w}?2*Pb&!|H2qiq5F-
z7>>5D)&AU}x9(6|pXE=OT;x?(e<AI8a_n4Y->s5cizQ##jwAopP3g4~t>R^~DM^xz
zIE_&@yRN*P(9SueRP^nx&BdG3BGFy9uMs{0{?t)ydQo&#9@Sxxo-%dcD1WPe0ed=-
zFJMWTVvD+|C?6DA%4*R;?KlaH@D3bD^o@$P%lnK8-Mf@}q@8_D?A?rp78J2XLoukn
z;r+%a0}nf${XhVVEhI$x>N50M|I$i|CzOP^Mt)A8L9cJ9UWqljDuAgKvkBu&dbQB*
zni03?*V<IS)*7^V%1;}6#o3b#0)_8x{raVU0XyIM0v6%J7ESn4J5o-+77gkX8gi-d
zAXGR&%>#sES6G*#XPFBruth^rp|iX6V}&uwz{5^wKM<k%wc5XQ2@;0s7lYnV8lS`(
zT@}Fm`lWeAS^e6P?qBdzw>_8oX=8`>Vi**<e_iKaz|MERfJMKsMH9Z+>emg%goa!y
zJm{@{H5m;pC}N9-Vvv5_X^b-Pu+!NOM5unf#lLh35{Bs)gWgaYpTrtn6~J=zOFd>-
z^ef%Jc9{Fu=l!&?L;D#R6slj3`4_PBoiAV!K5Ws1Z?^jNv@xL}mkJMht6xts8d^}q
z77fK9{rbHz%D}@;XFm|3`nCKJ9bjYW5+n@MF9yA#G(L$nx+;KW^(((Gmap4RfqMCR
z;k$!R?lm<-KTUKZEbI%(aT<vlO&jVd(UP;k(d<W!=F8A`<~5q^;7w(L8@OL<t<hBO
z?H=J#^UIr^II2xdL>u97y?yPbh(`=s(Y9K<8f^rZWyji0vMjUcFzLi3n~<GwM^!La
zMX+=|V#F_k;)8wM!K4unOA1;*SW<>2QqEvu$q=hf^M)mxuqX>lw(u8y9+`gG!jcJt
z7T)u(j)*7>3!+sIyBPv$hr`?Bu&(xk#p1Z$Zr0+~3`W{Eb}y)mkB`>jc4WB3W4uPC
zu@!7C7pgoZEL7=O(;m8HL87WBN_e(ozM+X)6Rv$mwAMxV-{GhQ_s7>6rtA@g2eFNB
z;9CV9yHul-A9fXo)X?ryMk!9x^$MszJos8Uw)@CjitakNk$L0(0B1)QK6JM0Bz#Dc
zp?EkkC1LVLoW=+z9vL7&TyE01#-8S&jB7ZM_7KveKGM<quopc?VCMZWDAZN_tbYN!
z3&R(%_)*xR`BAB>xIpTeB?878b=<#c%r$Elhb@vH1ACn4XDny;aTq0ZL$4ZK)yH`^
zO{>J1_sZC#jIb<Ix(I2}p6Mj}jh|$89R7pBrFgvV$k?J4I)4o!*~Nt~U=bH=>6N$~
z;s;G}JOd9Eq2h8NES&KYe55WSF8O`YCAL{I!zC`Nee0hsa-Lx$r@}qMCAOiS5-qtM
zB&;7U@x!Pz+$Cn42f4(r<^pYXiPf)lo_tZ<+!9CaZ4L5G;Jp%Zyr7t4OAK#|G^0v=
zJc2EfeaHsiS7OhlcU*n~X)=-oc|4d@gIUe}<mZaVK`e<mcEFPUzr1vF5mJgmk(cA3
z72F5u*~?4Ash<%Iq4v|;O8A3>Z3os3ZHA8*q8yI1jYoemN%cy2nT+~KiV?Z84+JBw
z7NU;BsLU%#Gw=}H7uzdI*re?jMlMZ%S4Z(U;OhWn0Ck|>Z%k+GW{T0llOBH|={*FV
zyQ{jp6nY`)gD|m^I8>!8DU+$v%@D>>rEBSTfJ-DKt-8)GU_8tjQ`>7EKAG_tOzz4d
zAkvz@P4Rl_>VKPJmEt0m6Lig?;*zdClawG)e;R;Nh0rYuPHu{F^rr|vtEgj>x{B#E
z7Zmm18PmCeRz&?b1fILAD(cDSp>ya<V!wyJPU4WLOUh(KJwq6Ws9X9u<ybP<E9&Nq
z`J(=V90F!U-8-cyNq=3yth|;Px0awfzQJT0b<HncmLCA*nj-&}L?kUa<4|3G-BN@^
z;HBuN;-H+JPzfyV#Wt_hgJM-Gpih<-37)MH4B4ec0EW`a!Q>?{BIEcQn+E3tB36hG
zenH>`l)|+sR6r?QR7q#cMWLSuS@2&Jial7Q@+LryMJnl+EmFyYcx9uMr){p`M+`<=
zTjOozB9m*vB9qEGWuuX2Dsv2tPmH!=jHj-P_*cZo8qIiwJsY`<nkWPb?~hOK7@3%C
zRN5z<$b$eoITm@ZSN#34$h+j&?)`Hq7OC(e6MtN$HL{qa_DtFfGG}j>C>D=1rsPQ;
z!D);*<MTqqgav=nIAi#rA+?-OE+v9VOVcMh!k_da?1(&m90r9(9>3yWz#dBC3s^!)
z*rNGMY2@)Br}8l>7>5YhK0G6IDm`he>fYs4U&&MH=vg^GaQP2Jegg)3B#IHzz00V9
z%a7QmRrWd27b8(NS=S>`yJwA^>DvMaj9xm`7aykc+Q3)=Es*NQYWb9&4-ojaej`X_
zqe@EqqzeS@N090r$T%LPVwQ&@BCm(Xs4BTZs#DLZOpbLX@#Y-7!Gu}N2-1bMsY<)i
zj3(g!aZ`p2qWq}Fmf8(*oo>LEp{m(VBblEJBjX2?V}tpR*y9~Lb9h@KmK?(|0^_-~
zyL>#JsMTv2rx~5Bwc0cH%!s@s>_xa$E$!}W^ck(S<0++M_qxmRt37g}sMbPuO;zwc
zF^DX-qAjCqA_z3b>jtXr_H=9A>eX?5WLs@(Z8{#WRYn@kEvxab)t7MwA9-123a%<A
zFAN#Z-IS%>1?{-0Exj^$X|W3x7?BFYxl9-~6cL8xZ0x-vIT`;s^n&>yOsB(7BKtr}
zErpPr;_@A>?n$#CSMn2h<w)={*@!?e&!g<5k{aZsY{ChH-VW<7YQ__tW^IOmz!TWh
z02xr@r9=(4LFEc12)F=-T$w*4xf~%Av`#IbB}9~*id{7hy(nOT7qSI}9?1#daI+J_
zzIWj2L4-$A^TY0I7^2)TgA8i#=w{?@z4X+gA?DCT@&vJp3@%1=Axof|<YByqsxyVJ
zZPV$3YpovWReV4$j>;2V!rmN=s2bim8b)Qpyl;eujxaAaspK^M13mV&yG9LRQjDiM
z8Xq+l@XEUg{C<c4c6U{MjY5InM`2<oxhNVYX_bkFWk}_ShFSUz;h{K4W+d^t;bTDC
z%{9GxPZ5>-b4ZNZ!y_uFJ%JIG+o@~MB3r+J=~U@-ON65A&)}dH{QT$0@hFk4<=od2
z-j$H*%=45rnI_=C|1AP4ao~T5R(_N?2N0zmb3j~efuA1|C~MCoy0qV|h)QtcU>p?A
ziGljG7ML+@5u8=jE;@i~g8@{HNAeY*Y+xu|TikC%MgSP!nT2ibgUNCE{e%)CEenZ&
z*90UyteI}&EY{*5#0xORp+>US64oTTdJ8bI2McS)fEo*H(yu;-HMe$}?VS<U#C2vH
z)+AV^Bk~*wYrX>5=r-2=u;$C<*g1KAWc;LHV)_=g2w}2DJ*-L3bOUv#M6q~SGbK;b
z#c7@sVa-Rp2s^@>Z-GIfVa*Tw7qEvl`2v=(Cbp>Zs|0gBp+a)wXA#!?vazb$A5izL
zeuXu^K;$=Iu!l7nA>A8>2vyz>&e21*X_eTa=!;=Zo2>Udtoh4cQ@wCl^Pj^=B3?(a
zQ6;5)(t+9f5!QSILdnCL%<@nSZ5t<FPr{mLD;q5cnl&aU_E|El>6=Dc;$*+WLCFV`
zeej>qD8if#YqFh(y+pGo#|T)m4m>Ln`C_q+<TT|`w~-$-TpJXxynu7=$TLRk6}UXF
zGC8`r(;nsNJ{i2G<Hb<2UWFkb49Q^-hm!&$Qg$E5*uAm{yG7vga2&(}mq)=*AnX+i
z2HBvIKUi6WR(kC6#Rvy;FV^>F4M`t5+MOCqoHUe)FyWD#hced@eT;2GvG44>vm)Un
z#Zcx8@`s2}CZm38?L47Og=a?uEWksVLU-Um!zS1{q09sz3^qa{l(_{5t>A88esm)|
zl&RRyUWYPo2}V>sRxgK9nNa49@X!&;#3q%TX82&%q0AX$0k6D^Q083(u)C}3)fEb5
z-Ukyq$wi?|NvljKGeaszDAUqU3rl)sMp_v?l<6G<hQVCZtM?R0+nz&WG*mp0hT0Pt
zMH#2AJqu-i9i~&I(=8DQ?yd8n_h9ljI4E4%MO;#lSZtk{=P7G4O|a?@i-1ZT_&$ut
ziFXMOAWA*vfEKpoJEitaqD%YTABvzSIPp6i6wV1XPU$!ys$Fyd_c<a|R8-@Uyc<BA
zZ75T-xnx9^128$PB@x&yzn>5Rq-7xy@R|S-%1k%$0-;QCkddslgffY)-cTm?V4=(n
zKm``cq+fjqWu9_bXLGw*8EaQIPsY*E*d$~f;WOrxmCSvKdgV-aZCHJ#x{5uL*?nLx
z)gS8cQhe+>{S2gDcez6CK6GrQxurE69eeE7ZTM>?Kd+4MnjWLNix{DWMHPSQihCV!
zKg`C9qNOod11#>fa^Re&>Q1heZAi-4qo&)c+hf~Xz==lHq>j@V@!Q>0ArOq!AL{JA
zIR}<*^-e1+x42-rTS#bkxgmp01eF(<7g7f<nfgb>j}@@bJJz^e>>e+`-Y>Sk0fvH~
zomO@(K-CZ{u|IU`yv@6qBizfDaocwh7{nmr>ljFBVeS&4u{N^odaR@i{?uXpgcnvX
zVIDOJvxr#@K^pO=zTlU=3p$9ymMTJ={Jt1rO|4C;7wO34N`SQ=vBX=Day*vE^pRqT
zFXg1kjU`5B!m9~T-@lGb@w)3?0jX=cQNP(}H^v&1*D*1GEb(IAGv#{v2=IT#U`BdS
z>>lKwJbCA?>7J1M8s}kwnI)HSAkrnt*ZhsKl<xHpB_DzL_+>TIJ5~{5Gnx&-!@xVB
z6M+36Fqh90qv*_dV{9h*EY7+V%Ff0cQ<YkMCfW5!c(52AP`1CjkS%0$7GVdh&)kuG
zY##VAKY<150G=T0k}u+{%MGH>AV<FpWuJ4|8z4DDuIG5280by*1zPcoiGB)0a6bn_
zc)B#z#|c(bO>U)LZ?r3ItomxHju{fVCChRPjggikS%IJoCWH7-kzjRlH3H7!!YK}^
zirWHcJhv~j5eOmoOno4~T#3t&CalT%AR@_H0GD~gC*Uu-S&4qxykQP1xZS01Ryr3d
zc=4v8iHXt1#3=hdWXWrl)`dC8wgv4@GILsdcPiaxn{22BG9~X?r*gvRrYJ3sVSm6)
zvL~GgKk<{zaN`mTkryR~458Pd@G3gAVMEoO?ATrC6>5LAz`1g4_pNj35MpCx=545b
z?Y-DOVsDfdf%cS*5_`K#>~lj?$|cv}G)5u8_|A|!E^nzHx2Eu_e2UaNT}V^VW7z-s
zUpm>Y_ma)wf=$67Fik-h_T1uMz+R5P7qFBgV2f(?6<_>Vc2#_cl5<LB3luDO$=_?N
zs5>j_DNA)OJf#S<M*bT<cQGPcXn-vm4HQPW@49}UG0MQh&ImscAOl$vE+hsR9^YsD
ziz`X7KqB&0W=lq0irvKfrXT*E5zig|{D~ie;uKVu+F4}$gCB{Wk#Pw)1>^@9Vz}q?
zbj>kzpg0lJg?1JRkMX0>GZL~-6YHDB3;k;ckT3H=;VxSzlzO_;?cJV?t_pB!_@o9B
z2}Z!!b_;oo_H9>QzfIe&c?0*geoESF%dUn&y1{balb84xu!{*_z_R6Fi?-#YPDY=$
z-CK<nXRWG%+wM(_$QBx4i$;T>ZTEg-l!1qx5q==Tx7~O97guzm*V}F`20_I8oFD$4
z5l`I<b(8mmAA;f(RF}%Pdc7gz&-_UAjEw1Ss1xyb{`HF!F<oe9k#O&$bmi}t8r!zr
z=lRzTAYb`ymkFS;m-@CRqpJd3cH7PGi-CFD>0B>;o-g7xmg5Mu>Ed|Ntm&zLsJ%;T
z<V)gtu&ysuEz+MSLzvltcS^D3Ebv_Vk&xJg9uZGSuxJPciq~`39X6lz1Bs{DqBbH-
zcexpa6Azx<5Zm=$?)yV*Q*x{lC`#XbvB#-+GQ{4fOXe+d{^CI_D{N^ll_H@KJQYlk
zp;7UGyRoS!yqpK1j1H;i7Z6^$*Nc$Df4>U`h5EUV_!qEmZF~WXkB2RqkC$S*#Gpeq
z@-gpn<GA?=V>V;cP;6tM`voiHo0&%$`7GFBi-uj06ZV)f%D}=-Vm}a857xHzJ>_3J
zfP&?>K88YSaVbA!-};z98C@0N)UEGM#vVh@;KXUjS1Nh@1j+4)^*p)oXq~eLkL*y-
zgF&HswvT@SyAbdNERu*Vnk1&!me8}6#%u=m3L|={XGbyeS+K(v4Z9#cJKY#%U|}b*
zABbQ*yVSpS00qnI8AHKP9-qV-T@~Q6dY0c8T}<2FIV%_Q##z&|oQt^))-B*-+VIvX
zHk4e0MGqU{KYCJo6dzBbdHzmyQBuLbZbQrF^Bj{g=q5@AAZte%*0hG;=nasvrkC9?
zZ4Ea=)yLq@ueiM}h6}y$qIz^l((-}O?$X6d-hx~iOdbwq4q}71cRd&KspO@<k)sBR
zpVIZp^XL`ACVcy<71i;+e?i^hs2Rf>YW3)dPJOIesl!F=M~n<?fLqlddfr-1nH;DA
zWu02gg^X6wziVX~$2IxWKXvPy<N{CK`f&IXDepeOc=x`dyi4ATBiIXTDRp+jl}w*2
z0;wpd|1=I-!4DUX_n4CVvRdT7q5N|4<fEZ0>TsjmMquqQyNqdADW0I;lrtHo(uqxU
zTR+~qN7wih&*3V#+E`^0gk!qHzgVST<P>ls_--&+)Yo{>&}80v`Zi1jf^NH~ADgrt
z*znf%x1JUfVPu}1{Ut?@$_svJOlWM*${qwZL%ikmF9e{wtLlvuddunGVPYqF=miBv
z8x76myaRzKtfFGxM&qcm^cbCBZlD$XI0L-2rLa3+)skI5sLZ<i!yw--r_wc92%T*;
zeN^<P@3P4t^es%+?ykd;kRAM~3(lG{2!;@rXTZg&z?OACv&`D3!Jxhn_w3#i_nI;Y
zh7ebc(sK%{k8~DqEdxchUu2%@J(+JWgJ1}m(>OjSa{53g@k|*A?&=qb@9RB@-&Y2~
z5E8Sf3Ma2E#PaDfD}S<Qq|KZglh2l+Zt{?_xot9R@Hfk#$cYQb`<2FY*rGWXj`xHu
z{RVvwl@$4|w;P;b%$fBwn_82`PB4SXH*#DN+|}O*ekDx)ICb@VlvkifxwfoF$v&7<
zz@_vTQ|vmV^TX}CIQMq(J)A#~Tw7gAY|^;yb$bF_$^(MIR$Q)qVNhRo=YwEkCwa)F
zWV8u)DOZ=lk2Ana+Z>njv@+|yxL<TVqYPdBF6C8a5DXz~fJ<2|vv%As;wHT(?yY4I
z3?Z)SKjylWca?$S_5C9AJ-sLMyUQRLLgv(i%yB6{Sq6gt-7gY<s`n&*q6~r|B+hjy
ze^h4WANGv2S(oz1WvJ_QDSuZ6MNV9cONlL-bK!6)E&UEbm(uA`r9P#<ANYOd-1$!B
z@5oznyIUEj(mSR2y4>FexT^f(8Vr}_yuFy*$h_K5GOzX~OYHPE<ylvLO^%xn`M0Db
z#RE@TsWZ$^1b%VN2{<Sxx~s(P=@gI#>%~oglm!t1CvP7KGCNQ>ry5MoDS{5&Y;rb?
z@HwK$d(I_9yAYTBV!|(J7Qy^N-<}gyOp*(hn@uQS=)Ktld$4youLsoFyPWjP_AV!X
z*|F@m=PuPstXl0Ryj0s7g^x3jZf-OtOTN*0c8NDSGfS6!x3iUl5hW|u!RfFG1!Rb%
zSx1&>p@K5}P|e0n(<T@U4|#FZPJWy7PrO>?FEx9O9NT@*oPC=UD65NO=Dp5C{md3-
zEU%liWMq6Fl(Z>cCYRDRc>t#|-t}BtT>7|dr3F0)y5`_L(^{8+eAx%RxH>B6-V1|5
zD|<feU%*~=!WXdAzF>>y$)wosmC;U45aYBD;g|WSvpUoN&Y0M}<ErT&-+P$2Mt(Wn
z*BLD>sA7wTYEYTa&y7(A9(H>Bfv}hPpy@Pd_&@%&l`Li;4HwWNvn8S~sy7LvFz+S<
z{C$qq3Enr-;oSko+DG}<4j^6TSQ7m18{@v=71=AKm|_}T72wngsdqBTHVhY3BD(Z6
zRpo$^#B==wvx9#&4AP~+{fgU_{sruc#22t=Gqz~joMJmW!!>D4Y)GxboIs@`<Cw2=
zRYpq-s@S5T8f3U`H%1wF*y-&DBG_=<>tDM#4MPoAF8o2Hd!HZt-jU8?xIW`wJAicM
z4Hu)HVU2v6Z**0F%NnlyzF696^Y`@9&J`gihpdaTfWC~W`zSw|HLdl6lrCE&U)O&G
z3+r}squfQ!QlJ0!18EmVzCe}?7Ef)-ak_ai428nf-Wog(qs8E1OL2pDm>&->p&UR2
z8@x6CwTsg*)ZqDvsLPn!Q#;oWe(y+UF?iSb*A5_Ed4tEPr)&!Fv0PqqXI3Rl`Qa={
zBV}nfdv58=(m}@IF8|U2+%ZgKpf|)gle=e#FU#1rjdXBw8@SH>c=_@nbjf)MJqu4z
zS@-Sy+?IPAWN1x1m&wrXa+ga!j_eyuJ{HVH#0E>~pIbpJqWXt9l3?`GV*1JaYWGYr
zJ)Ea7Ocp`ZmI9ixq&`9)A{uMd+i)Qz-j)afOt|8Xzni&9me^0{FKR8ZFTZfg@h>ut
zf1xPHlh5M_R(PLMawintf4c~zqVWD3IA{eA3HGe;{sqKNQ6>f47$*MrtG52%gE3bt
zeLe)EGPU);fQKOWw%U4Z(wr&7?rRl7-GD-<#l!l9ZhsMzN_XuBy$6#8FvypGQeDeJ
zwe?G3Vkdd15Q@=8L(^MZAC<w6Gr&t*+WNRDxA@`5msxjJ0lFrKK<Cif`nAxvFkStH
zQ0JCGFodwoS>}{we@KH!8HksbS@}vB6e_ZXNV~BNX}#qQ*O$SMQx=XsX2mSFXePr^
z-eBoR32xUbNRlbJ6|?5dsV`@__Lmae&yWT5+ag{u`%~)bub4d<w*px)YuO5%B^)S*
zLzeff{6(>E4(6a!DMeB28%b`hdjU3SjP=^9fW6?O#)N+Q^S$6h1faXCx)&5utVdyD
zCwXWuV6+L}3%*(gKh6LzZFBa5@0MBj@B2m9@0X#ge=qn|83aQJo4Xe*Sf%TLTMiZX
zWgZOb%U-YuCN3_rzPBe1DT5!UtYt627R_Wh_5w>ke+gT<8Tk8w^JvbUzZ=}2qYB7c
zZ8z{vDN5ab9I(gmA}Tzf1Qt;}&bFgomAYM3i2uCQ?Q$HHbDmO8)wIhy>(f{O&D$qs
zzPB6jzFGtw@&sZS;nP**J?9dlU5HD5G2x|d;`m&s)J?>UBo{2DZsfmvOWm*sD|NdY
zP-CTT^s5i0ZZFYlg)lV23f)?9yJVf)871o6^mWS?xlQ|U;q^fj{DJbcxNTOrWm?h-
zw@lNsTH*FyuQK^7+}<h2cHcQ?E8I+JFus;G=wY)6{CoRIyG6&!PfC&$FKkQ6nS27L
zaTK;?<VRivmuVpchLpRJMPZw(XIe24P}ugE7gtAN+uy(-JqP8k4|&qRfIYv$7qF!7
zutoD*Qf&8f5ybG=;Rt2R8vlnev)h4G4>F$0w$QBcFBvs0$YP6zY*1Qh*@!;MK*UaQ
zKM=s|ED`5}$u!EdR`{1LlU9N?@)Pg5&<7FjL_hRBBb@F1?+yO711MKMUCO9u_(1mh
z5T=+$R|Pn=KIAJ*uCs-0E<H_EIiRqu<|mjP{1^s>8m?{r1?<wm7qI9uwrIMXVmnL2
zb*C}2q3;TJdThAvVAQlAi!B<mLHhT0W0Zl2o#K8VLJil){Yw|8AsNSf!<7qt5aGV&
zhrVZovl*@*_}31gTzSLAsApIspXM7~72vXlE59!mw%PnWTVY$q=IIB9?CxrFQI@RM
z)yhy11)Uyi`T|&3x0~+5wn0CTc46cTgppyTe}%r2!D8?b{^ADjbYqmkPcNw)K!h5+
zOZ`h1r(vMM<BWDgA7t=qe&~BfIGe${(Z6;8<;okptRA`x+g|U7vm}jz*z?xDES)tD
zmTdb+{7VOLr(9th<4o?JAqv}U+eSJ#`BQM6`%&2TDRjwsVH*oiP>I#s`8o61FKqiZ
zvTrc?W-u2K8!T*l4#lpB<WF!6!Ct3TZFlAtm<^~^ZPBIiRO5y?8t+U`!i}KqnANt4
zdtx_s>b2`TadbmvvI9+x3A*ZO&G100T4~1P{P}QX?Y1^8d%G(iDzogZ-;l|8UGg*&
zn13oNFv*W_1gncnd9f4f;(k*EQc)N8pEzg*k0|!3E)G3Zh(gBge$~b8bG+^&8QzX!
zn$^td<A8dmE^awY1)5{4i^C?(6En6Atw<oGE^f$}&<!?bpm;6BQ3Rm7tLmQ@s*5`o
zCU%mCY9SbHG&H?+ac7jlk2AnaTXupG<y$CTMzrvc%B*~G0m>$)K<CiPxXYk#Vaoce
zA!=n13?VH!+p^>^6NY_xnRU0pAYXn}71=_By{Qagy>)SSm%)$I6;2*zT^zP(Cc{w+
zVd>YSx;S&@)D?8q#qE~EEwn|v5@IQJEm9X}*$R4G7x!6%<ZespR7p`6_ZNhobuYjs
zjj>*P6;K!V4P!z#*vek;I05MHT3WHb1rs~TLwf<EP555$&t>rA4Dix6cQ5##GAsYK
zUzGhr8Or+if_>NMvgnovMRY<)o3j@jRc75IU{GK7f@5If;v(y-i#w$Zew?nBy#QM@
zli}D4EdBiTZt}>|_4k9*uQ_-AZt&+hijdh2yi<z0xJ3c8@`@`wpafQ2{X2C{dQ}&<
zy%7I-U0eqT<(#LKbGg5mt*3QycN9VA-hFq0OY`7=R3P^n80u466avmJ#J>=`{PMyJ
z<it6;P=TC?JxO+03gpO*_ZG-u4^|-eQ9z9q$kDGp6v%DRs*RwwEiPFXcXElkI9jf3
zIb6*GIj@4ldE2$Actrd#i{Zp`vxBUOV^_TKVZ3N*C*Sn;H(urO*TH>7j_tmA&ep+k
z?i=NAduQ1ys@`l(awno<x9>{4ix<14G)w*gr!k7%PM@u8WlG-;%bAf6NJ}fIkYtUZ
z2LDSZz`uD3;HZH67Z{``MBNo||JT2OJrTnfu;j_GMe|TnY!7rPDW{9!qQjYKugnM|
zMzh~qeKoh+svcuJRdJRT^UEam0w^fnH_!aA54LF32ue^58>0-Y>@4vE0pMlHYs(*=
z>R($4gSseMK7YtiFgA00!2}aPqpJd(S}^f5rVVMO7wIWnVV03DeS1hHH=y9F;-{M(
zi%l>nR8JfJ1?)n>7qI9lwrG->V%rBjeYLTgA<+usTvBD^Jxl57ZH(L&YG8{-jUYXJ
zlQGJ`%FYr$5W#x-0sq<o6fLi(3<X2^d=hSSRe;OtX?|ZUY_jd`dSR0+Tcj(3=?Wlv
zN!DfuEz$pP&zio5#D>;e{~auB-%PNjxRCzB7!@R>ejuzuYN>YE<pdpIV`)VU0=1sj
z$ls51p%2pT1N_k2wL5p|uw8hif9(LumDg^DLarK$S`nKjrh}6&z~<YJT9NPLrp{|c
zn0HTw3t!~!=j>}m=rAKM*U7yEiFcRIdvY<da4@+rn3ISN){4yi^Bqz8JdPL`gS15C
z>il91twaRBB21JM-w!sw>|BG7I^(%toRO~0Um#QM5xz*uy-kdJ8;f!;xdunD!VMdR
zu8tric4j<Q>9pdgQJ>ra=<jGnW0g95#2PAK8d&;LfiEz}TPp1uRL}7882IRJ+^kn7
zCwB}?0L_pl<MCv>5;Zm_@mL!!i^4B_G&*hg=x#(ksxhpPnWi-`8Mj*SvF6HnW%DE!
z=fqLFL4(H{Q=4mbShZ27YMk1ZdJDed%QzBGR63LG0k*(Mba@rN5-louD(Q48020J@
zwbCA_jEyxq@V#gPZo1Kq>+KqRC0GKOzSk>1-u?e*g^bLjRVuSvnatM8%IqRASE<bI
zgkqzci$E%hjb4s}R`7^U&x(ysqtHz>lsytM1?$s?t{(`dfSQ&%7e-}@j%MH?`Hj0q
zLq?PYn>5GKa6+^UY}a!9V>A#p*xf<OBE|0BZ!GI}|1kE?OOxJ1Xt=woo?@ZWqz}Tx
zP9jn|T2e4mf{`JhBkgAC*P{{)bLP~;a+P4*l|x9RIWNI@J$3b$U{JIat|rP=kRF#}
zJPoj^vg?)%Cv!z9##4l*wG;!J)K$zwVxKhRcgC`A<P;704WZ%gs%l8`dFUKkV)lFJ
z>m(v+h@@afLox((Xo#hsKjAD*N`7M6oI77fevm`TjE;Dx6p88A1<cAbow%6=W;(Y~
z*PbP&&p1(+c(*(u5qM(yR2-DE_bR7>eNv|m9ZB3`TVfNjwx!IrHiLh1X%Vm~@B9)N
z5tw&I^m@#VWtYb7P7|Ey9n-NuU3(@`rY&>22zr7mQ#dG`D|=p12N!?ig{+{u-DL0R
z44Ebm>?AKa(?NW7Fo<OhkyzJni*6%k0hII1yX&#VXUt*D0>s|%k{&XKxiz9RVr<z!
zymlQnvq=GnS)y<s?mu3%Y9Lzk%qz}Kth_dsRQeUfdN+U2VsQhDx=~1_y{jj@lti48
z3YC(G(3DhFODW0c!N_;Lr6kycm6H4vP-CSe^sE1+BsGXL46TfYz?4rl#yc22sI)87
z&BjD+GH#BDA1(Q7w9~FlwpPw`PY&uhq8AF_a%D?N&dp9WG!7H4futY&BdbU74@?B6
z&!}L8{|y&#lFc5f?&M05dC%7^m@ex6N|E17b)U<TL?AdY*Iy~Z`mp*nqf&&L^nGd1
z9GZ2jcg9sEa4s@Ww}4lX(kxky(-@T^N25ICiw>8SG|#+ub{y}MCR-O$AK@DCzjVxw
z_G0EJ0XYH&K{!Ckbht}EPV_He&vftwEXh=C(e~dI+hts{{OLICWNgmo8*}O!q4HJT
zoIQme3uux2T+#+cM+=(RqM@nK`X<59%;)JU#wY_3JFWddSkrN~+K!fgZACd;L@b|G
zVkj89t37ATB+KZk04Fr}e$d=Q8G8(!(@nZv=hB;zQ4-b~@^+t}RCd7cX22+N;MTdf
z`xmgw0bjr(jM$<HV-Ixhlg6Bes45(BiHn&657fDjGdfz(#1;)rh1PDJd)ydhAY!Mr
zABbR``;mX`03w#xIfjCvNIuaux+=hBbuPaz)@j&wR=rMR0EL28=W<0gqSJU>Bf-&k
z#obQQMZsXI0(+08a|tX=f%Z(bAGQ>i&LfRc1|oLp^aEj)PRr5o`TnJg(~#E4-&7g&
zxe_Ew3~WM_4o-dp9&bNN4E9Dd#7hjATS$rT|K<*M4@wL`@@2NOn_ptUx=S@ku0i$<
zCRYb@5wV%$B?gEi91MukS8&8YoYNA6&tW=0u8dWqt?>>FE7ET?5W@p3BONIv22pJS
z6WGo87|5wN;Gj1#0e{rT;^C-)&$rbeOU{N3U<N(yFcO{7YIUX{Jr3z>K26l#hI5Qz
zj=a*W!L=21Sp}{z(5gUR0Esg3wWdhi!(A4XL8oSn0?JZ`FXba*lrl(Up1SqHxr0tB
zk2NNbTZ+nKGJzvl(L~DgosfXOu?VCh+`1hHt>6d6o+Y3UMX_1~`8D{*NH*gmwlx|b
z_@E);q+vZe-WQCZ8oj$5MrHELcf&*4_Okh9Y|{2UV+Yr>XKXVU7cUTUQiLc7{$67`
zV?$JSB@FcOyz#pTJa<>s2`H2|em_j?Bo1Z8BxN#Lu?%4xSusn$J<uAlPul1t>Y6RE
z1DNB}&C!(|enSqqkg_~G+@-Gm?C@a-BW8zH>E)SV0-s86E#m7xh5ZvOtqPW#y-p5^
z<nIp&3-Beg;)_k{DrP36p!ojQn9dEfBEG*S@Z4Qh@l8GlokNqlzk|L`;*j`C%4Ebh
zLl}qnTKX+V@l^#ts(3fk1OjZ%kT1aB&mmYwfW1?S)a@Msv+~RWZUcdtg${M?S?cz*
z7wGcpmKr1iPu;#42j%QqikEfd+0s)IHGtsT&^2As-x51dP~VjQLES+nE-8X0<%KSS
z5rL^*Bu9_Ar=@lI_NG0PB%occUIabC#jQ9foQuj<Yi!AmL-p;!K$SH}{4DP`Nw*Mp
zymCzpzbU_;NCYC~3NhSoFL)wQc&mjHf#Luu8EHubehy5AKM{yMSR(M_fEr5#(yu-w
z0?*UZX;T&WRP9*V*UDd1A{QuDESnCj+To{Zw?ks5K0Q(&uQZ#L9Wpb>+8~geX`>9G
z_7w7j`kRA0IbHa55CGMI(G|y^F8rz-+kM-deX%^{zmYNA&&pV_F*#awJN%?1K=C)s
zQ{pAx$7zhb;YsBLjGgtAPpTa3o`?5Mqy39{UqJ);w~qCHc(Hcm6n_bW;0UP1+}-(&
zT~GGOWYr$k<O^5=|Jb66cs0d%FHIM{nZ<#$tC8<H&=0P1=2SO6PkvEdDnB5)FDy@o
z>r6};TQtNK>bo-@tBp~*MQ~8x4+MZ`@ga!Zx@eu@Ups)5<ue`(1!L>BXFQm!8C@0N
z)QrbJGr>=@j9epa+k;CZ<w=)oq?vIX_mj<z#C0$zR3n@I1?(Eh7qDm~wrGOcV~u>R
zF~1?g3a9#_k*{KuwIGfy8sb43`4(f8fsUQ}ejtK1^27eM14vn3BN+;Yn)!s;=&Ash
z)yVw5n1i(K(s~Z^fOKDAnMmE8%i2BFy6e{OA7)K!BWbQKmA{dE3zoNUB-m11Z2!#|
z6(qKPAgp3*Nlwmxp$@RIv?3UR1|TpwnG1c8z8~y|-mdStOJ^m~R_8P9Ups(u<@KGR
zkgJ#?wQJMOba3(|*m(Pq+WjGJ=sdN{Ja<YseuaCPxvAZi8*24&%Il>GLwJF=y)BNR
z)*q6D;>04eeFa8HgOdCaGIB6^NiaVVCrt1@CysJN@(Vd`K=N(yYV^w6W^SGtsxE{O
z8GX?{_a4T9ODavsyu#bj^3@Xck)$QX+{TL#QpDUUIA{ew;Pouux0;{Rq9MF|g#Bk?
zvQcTTTxq2LSV!ho>KPPyw&T%8`L~YsEx}l;QMn6XR3-^{BRr(-C7VUTCT)K)Y?YBk
zp(|H7+_sNN%^1_Utv?32c@pq00?*x5-6#qr0q=u}oy4Im3ZsmU<h&tq3Wr}hPu^b!
zJx=}E5%x1>R{o0ugiYQJokP=8pM$=I37dQnabShv8OnYO+YYJD7a>`<G$?`-LfM6+
zo`R$NFP*DTms$HqFvyp+P=&S-ZGQ?A7p5)VKQBmY-bDY0GU!<pBiUtL%0F|F-LS1B
z|KPM{PKV2@(?Q~6Vf56k_n7ZiS^Djnrr@~^mfY@U+hCtI=SUqHR~mkM4)0M!c^bY$
zUHxhJ;~AWgh<9%)JSm&ItK`KiUKq?LrwoeR{PSTd$F71+8vABv{4O@83o;HD5P0sc
zr4{rNnAk}i+Eo~3v|Yt({3goa$H_lC%HB|B<yOBayS?X>eSI1HLMR)st-QI++7I=M
zwr?#(Tc64Qcp3a`s^MGY3*{GqJtMQP;PRSba_lRXetRjkF`13U(g-_?IZOV|vKHX;
zc@>$R#XF^_k7)+%SG+z3k4=FI_m{D)E%&Uqn7vFd4|?)%xi8Zx?+*rR+?E@O!0Tgv
zhl6rXc}jiEf!X>PWk&^pad(iwdins%m%m6CFfSHV4Y3=H$YVKY4r1G5=4hoZ+=JAf
zNxX?ktBRl}m~<=-3TF~s0jeFX*(utV$fEP84&s@?AeQw2y6oiZ_W@2NwxSI(50TiS
z*&t&JhcULJ_0`5Ow`4twcv+*w)<ajl|LE{_L-}N$K{9-@>?e%NUL#CO{vwhFH_OnZ
zaV1A>DWv4y)y3ThB48)Z*Zx79A*Kh$OaxY?@>)usC~V-p`v7~elBahAYOLgme)XZ`
z=?bl~1Z$XEquXlj>L><$N3j;N+*JtYlqi3)tzNbiYEwR5xLp3*?o<YaR&yiv*S{CP
zlk1;8@3jE_`lrvxvEBF2+4?8D02sAUhv#xu1a<;?>O0}%l1RmCq*4MWkKr^%jnuPz
zx57`nm^td8eguPHe^T;*?mDRd^e<q~1M&r6n=r#v*rILuY1KvPyA_tbSfA6qxv2ht
zr}ioIZiU6LFvWc`Xkv?orb26X)zcBiC<75Yt^Gh)-4I*O^+f;Lea*Qt6pW47USq)|
z%jl{Ar`A~ffQflp^+flX%>HhLtNf(01AZ9{3e~yTzkpp1_yQK4!xl{#d!TbS8gm+=
zs&J&oI=79{(SjznXlMrM+}*|~0}(r|{Xhik+}r(Y2N1D*odZL`P$Zw|8eJ9OvO1UF
z7wejAJF8yTw5P*A3p*!%ZPw&9N|{1Gf$>+cu&(PHh3k^J?C*zuAno$U7qE~4JuM?u
z`wRaH3L|^0s#!9ys~RyBU|ym(?-X5mgVc~OV6g?*Qrs5o(|aJSw!l&>c9ehV;!FxG
z7GosL)mKsOWK-F6aPkS*ar;s3^mn+E^KvKVgj4O!UvOtKx7;c8Y6>3q3+*ls8Oiy`
zzQN?&U@jsySm^YeJF^kt*K<5Uy8qwB7Ej&!@La#x;-ySHuPQ2@$(1;QU2Ku^d?ysT
zZ7l++h^|+0&<cJ^?^&T+e=fFoO)!FL(DrN?m8ofaB|HR0wA~DVP1-hScnn%%p1;}3
zZJ_PSs)vl}j7?hEq%exhYuX+l@Z4Qhr=w6!+ru!ilQ>j;ASsi{er5>c$bMS-nb%jy
zO~7`sg*iUmD_s>ex8#ruDa$KrZlbRKikd!MZ1D|PS`{oedz~B-#WRl)7FO}aCUq4v
z?^RHIe`ZYQ23ir{rwKfFS5<tI4?*Y9%E4!#uah_=zLGK-@y!s%A-<M=ncFK;`OP$e
zM`O;AFTh{RAy`I$y;F+B{f>ZHdD;lKfxxs;OkI0+vBm0Bb$NA54HAJT?uT(u&aS0+
zSz)(Nu-ej~zA68Mx`RxdUIa}_`kewJ0yFzajvjMQ%i`x}_Fq;6J;B9|I4GQpERsO5
z7+bO<=iLehs;oh><nlFlgG^F`xZ{;;V)$f!Kau4{$`xX`-(K*GErhpPD9bC(lai5^
zEboWFWcV+(z#c5i`wl>jWqIjWAF{k>ZHe2XQ}I-zxns0ddwE<gr~CY{oUXA}*$nQ*
z#yt2*rpmeqLw(Ur`gIj&L(2wyJ!UxS)NAc^@ClY?bV_v0MaNL~HZ5r1={MYe7Fesg
zCb~-aQ?`F0$95l@ODS7}FPZD@muEV#Z6@<vZYfkL^|un;;>p*PRLR$H8YB67Vj0ol
zHB@O@=*WOs_@Fd%vH%B(s4n|MNBf_=Xge~qKZHSg<k+2={dfNY_Q)|`z!EaW7FD8^
z8!A?Kb(51OY#&>4n!bvzH)Za@N7!caUo2h#3)3k%ldHuR4e_A7(P73Y0}(s*{XhVC
zSt6>hPwN7<#t(sV8dqHcPug2uYPJN`h1i|)KG%;#&&aq`ZY4%`<QhK!#i^*Q6iP(H
zqp@e<nC2Q?74Xz7-1nFnNln~xWBbgSGwdME8U3M4+s%GD*<s!RgLFx7o3q#X7qCkL
zU%+C{utn4A)O1s7#Nm5eQZsKeW->HgVL_mt1*T>mCgK^ZdFkvR1EfbTSdhM&+?{ud
zU^M*Fx%?R~uE|v}O+_`*c#b_E9>S^6&kBIyS`~)*;KK<h=(i5XV}3ZQCLG;;TAk_X
zMzcNInyNJ0*LUCp&8?X`5WI~lctzAFzb_`SZ61oA#8zLB$=Y{oN$|gV(N`G|C~|z2
ze1r6iP3RO6=T=7K18vx+bW1)CcBmiuz{k+O@q8fj3n?x2=iG(K%?BQFPTY>zu_?l1
z6MiooUuvn<@$=*8*~xnkLb^)XP4+#VbYXA&C-faq$^*{vg8-3tImZgf+yAQ$jwwPy
z5rugk4qCyF3O&mJosR+$4P8N>okVwYII4H1rgx0cjf=z4bOkP7Y>h|{V-sC~Kt3~E
z_0O(l1OdZY*uJaZf{=TXI5U_OYCL%l7?sHtoeB@h3(nqufK95*n!czWZ0DcW<k2+i
zhc>S=CNy?3#i*c}=Gmgl2|#yO)!r4#7QGZEc9Mr;TZ}dun#p+w0#W#j`sQakr_12S
z8DQ)K+M+xV$CtIe0CQ`Zm2WOU*<=zrhbA&!34IGwwu@f}<tS!96#4*6smh{T9u(0D
zA?-3namDi5Gik~xbn)&oaJ&Ns`GVc52p1ysdwWmlzbu1b2%+~hjiR7-wm~QP6J;R!
zdcR2ijWQ%p9#X7^S?KojGWc<dgMXiSHOrU|(g)V-A#es&qoCh@_8m&H!_@(tUURn8
z<#VOAUj*y>lmhjbr?pR}uKu+48a$y!Ll6$G)wj@gt9o;+@yy}qg5l^Q_)tzWI)_~f
zGGy$$bj}rqmi~~~ll~uYhE6rN9da5#k>=h9rgH4O*rf5syE`mmNDF-uf9ik_8&kRg
zR}AP%0@2;IwBZ_oiJb(Zy;o8vBj6e0I0W3%PxJ7tG9ii9&F>3hZ?2Iq_Iu`#G$Z!j
zDMd2;`2otrli}zQ2WHm}XL{GGx7eG7M35)L8#pM(fmf2@D^#t|oZ*Cu<n&5~Ag3cp
z!0knlqD<(m0TRG@g~%7;m0wtRCRCi-3S~mYNm}y4k_jar(fhtD_F$RN_XBDy6H34O
zkO@5l?$E0?#z)(=skqiImj^uok7(jE;PNZr=J&uyw3W(cL9f<k8Df8}i(WEK-)5WK
zcvfX{va)$H-URthyrde=oR9}qI>0s{+9(++29VV6^nB=-yo%w^hkjm;?LIh{@}U}s
zGTG4Gjb?UAG@eS^Lhi&jC8EVMp(&A)Z{RdWCiIk92@sc=G+%Id?sR-e8dYD!h6tl8
z{?sY(jF$qAr07pzP-qt6xBdm}Sp>d-C47!8nroKgyLVPqIZX`r4P5OdqOTEdUw)=O
zeVFg%N#Ugn<%fEg!Qwhu-ES!!;Rn=CR=$9R9MV?l(s8_h6(wS%x}rXE$c4&~!~M3>
zS$;r$<S_PZdp^f6kOlHN8@+&f^EtUNX!#uWO0hUfS-z?;<%gt1Mu!1t&{L5SH6i*V
zW<pW}cd&am%~-Yt*jLy!_J=OFukqsMuxhV_LAv_6bE7l<1?=+17qD10Y;jn%-G!yv
zi2g-kgZ3U{=ACNL-jSiG+n{~g52&4@e1WV%vt*6G>R&*S(?DAmm^IE4!EMH#^uy>Q
zf}wVHGv=4T0%q*jUO>HOEEk4iW^Bn>y6Wfxo|G_S3_ydPig;wrSbkqjOxqkrJu$sR
z?v7-)vtpfg(CytZULur8Pp1pz@6$)Z;=V|tk)gJcAthk)Y1kP0k)i%JZa6$c&HQyr
zp?;S8lern{V=sy;tqy#9JKi3Tb?{6W;mH;g)o?()p*9|mL&yqGyfRZ=WQgQvav}0^
zFgZV%rHB>2xjLthYDDaFI8Lz3rf;bpacMl(Xu`J-keao6yFtHN=~vNrNP>oRO$oV?
z5%Q%)37K4tBiK8ZDa4ixd;V)G>W2fkE2ch@u+m|4stBMW!Jgot75oI+vjqE*Op>D^
zVUT!4AH_T39Ad7B9={i7OpdGgQ^)hQ!FZ}6>J2a|lRbYGJOp8~y=jR}noDI^Q$53*
z+B*(<`alQ%VPjf-yHPEz632fdf$8q5Ivj;^=x>3EokXHIzNAnlj-MfrBaUzBw+9yw
zAqkR1U9$xYnK?eS^{&*^Z8_vpV)U<|uKv{233ytd)D%fE+_VQJAX_?9alIW)Kq?CB
zjL`U~CdVe+xu=eA0Whk_xf$-{nMh7OL3mjO8=KTs{AD5Jq;i?IIK|Hxles}w#QCQL
zoV%+k&dEohb7<khzd&CnX-J$UT{7aFA&WztE&YxP6NyyH0|$Wco2%su|JQSfn-PBR
zlp;ZOW5BFD>47^+VA5ktz^pv!AvV%NNe|(i$qmku^!NzC;D7xKd$6R(DQCm43wMS8
z(62ruJ+7UOn_yF>M#rkP(bn~yN;8HGNZe|V!qd@eW2&(wu0uLxN4b2+#bNo7P$0^t
zO70C^U}&t;j<+<LwYbIa{~V55m8t2;m|l*9XW;M+M`<s97o64$o<T24so-Tw7zY`~
zC-80>y>ABpVt7l$Mt1U5p;v-TspeQWi~c;zrE+ZdV{<9b63X683T7yLB+Jf(50KWE
zeC1eDu6W`mrFt@s(-?`H^HXV@t<3UhT^i)vD>FCml4dcMDP5=$oB-{aPKX=5gm6SU
zx51#$Nar2?1?(XyzJMjti7l$SC@;0K3r@&aF?@9(f$jE_w-|Hjs;Bzmsz>6<PJ~`F
z`Vi62Sk4}CW0Y|3(P}WMMbj#u>E0`2D>LG<o7zRli~dj-n9uu(X2;?)3^L_CJa=gP
zG5-Q~f#C~S1O{6i0y7^r0fur`UZ_pS{Apt*gMUhdFHl@)jr{o7Q$##tH6NYJN=s@v
z_%@o67R8XruQ6%Qbc!uquhTvVhlMaG)VLhrU%)Oad;yEBV2eXm3LBSI##{#O#ib?G
zxU3}l8Ozzlg;AocxG0u`xmX!-QSFG77yY3wFqim=X2;?}LOAU5>zDZ#unP=dz#=f%
z;t-gE#-(k{Wbm)JxC9!PX(FDnnvc#!q$R&E<~3~ol%CgE5#qOJZMbdEf4J9l4pqws
ziO{N)x^tNy@&jp?QocZz43@CXXZ#D4kTy6}1-!GLA%gd%k;nZ|79|7j_PV+Gfq#J#
zWWY7@cXUn$i$TE_&7deQllz_fUmK$gb@md<0R-&8SxK_K+PY+e4zjU$aUur4+Uh5x
z?nAhVcbFgko)OP>NB<iC+5xmHe_wb;7vTzL9_Y<n=6tpvP9KeO_W<$cv27bj2PYSS
z7u=7$?iTc}d0v+t=PA|r67KBh=5<fKghlM4N_1AW7G1_-b`i$xC_A9U?6mK(Z)r9<
z(=C~rob5EyuqETjtHETmpJj?@A@-R6eXfR(h+m@|UEo*$UuE7_gtj8n+QvaEc*v+{
znbz~tL))5Y2>m2VQk^B^rV+f$95v(CbUfCs-4I7(jZVGY67R=P)S4itB#X>@*YmN;
z*=~(64%#y*b`({+JD4tNmgZ$JDwCOgJv;;pZp+MKleR}18<n1!RSs_UD9}5N>D>F5
zlEQjBf#>e3MgR(BWZw-FJBdRnEJ>M63M)exM+(c*?}Rb}BbnbVH5`nT2}x@2UAf)Y
z<q%#;Z@ref`g6M{DTi3lA8_ADeJ<`yZH}9$B&@v!`GP1%SJZQ@R2KcABp7MS4*@<^
zj@{Da6bO;-{T`ue)fQ}0S25i>U0c#q>;7H(t%LlZ#$;}g6<zsv0?yr4)s^H^&^a{S
z`(M!4NgC1>NtcYSWXR&s6-&P;S2`roy7_%U3(Ph0wctBBBrT`~O3DJh)LwWK;U91h
z*+pa&NZCc!8mF>V=jamamK-PZg<h<LsT{iqHihd&?k;ksF`XM|MKew#@Z4QXYsT3y
zv6DEY8Im#?&BzeOp&6EbCx-4Kn#82qQf@qGkO@n^1|6M4`hptt0%aco74q&Q8uEDJ
zGG1a=_YA2o`a?-F+DKj=EPGCw5DIexk;S@^U{kol<ZL8wFeY>BfTAv40?ysFw7T2{
z6FW&m>LTfqQI`x^9O`1}cer&U(ZoYCx*O0L6v132UlCe4M9nCIcS=z&^y+{Oiq{L_
zxhSw+=z8j!Up6a0!_MOw@^48_(wlD<62e>Of&4>777ofe#wpdwhg}-CI+N*v3+j3z
zUe`l00&%L!?I%I+=5_@rpDuzLz1IGt06E|sLlX3uV+C(?UvRE&i`+H=#g}t#9u5lU
zoU-K`2TVsf!9l@5l{HkniotKH_5(0{uTua;h~azZ_Y*g|BjpM)+;1azNuLPW6e{Tx
zaXHCIOG)3Sz)bi{`mhHp>AMh6V<mm`s}Ci8FC43O>RZdz>m3(XuSYACEyf#R@J+Vh
zHg<Lw9$uiB*36yPj+>Qsqq(u&fx5eAsY)&eHmS~suJHaUxr!Xyy=yL2$#Jex`Pi*1
zZ=1P!W~jQbyO2L-^=<qwY5Zy5YD<KQ7q6wnNLo0JQM|UVO$=CMP^l|gDtqy!wES#7
zG>JWpe(RwBi5GN7x!G%Ake<zPR}VelU%;NJ;0st%Vc4R|omy^&%EC~!><`qa<Ng6-
zE?tJpl$+5a`RT^@5dDnh>^Xi$3Ag!H%gtU%)2d=24M#>S7GRT*3-*UjoX7pdu|xYc
z27!_zbqmH1{0rCxgD+qa3~X@-Mtbzg%7rbaX3S*pNlDbGZiA-^k=DqUihm>G8LRo|
zTtq7J`(ovX%^2yGAIt5#PnNJtL`Nf-bm)0HpA3A9Q#V~GpTq~l;=18-*L<w;18SE~
zzCe~73u&`9XmOf<iQ=^2tCS&xJJ)=vA4(q~a-~k>nr(uY4o<EG)#yjA`36)uo@-{i
zFXb*@#w|c@u6eJs(3ON2&ftzjNa1zbGJR}mk@hudB1H$2X+L2V_Om0xin-}75y_@F
zE;}XN`|2Wu6Q|8r;-D4W$?93UcM#mGXbAUx%2QnkKk$9p)Mqqei8=1rTZ1uE&zzGm
zDwD8%6FhW;+ObL7D-C<4r=XNCsX@Zl;zvDdOy@S~c=+enP=AELb9Ytu)<Ox}{|ys6
zi9@kNNtsOSFhdwe?9kG0cb)Z8*}Fyq=)E~QHFT~d>w`JOLb~$1UGJl={v<2AkzWSI
zFXQ*~$Ca_FTXJ(f#$Uk7s#Ljo>tv6JdjFh|utvSHNnK@D>C^e=>yx=bRwQ>9803rR
zsFIufHGmtMK3xbCJ4r*5E9sJv+zeS9l56R=w}t<y_}W@QhRu2MW%wt=Q$K|@8TL*o
z;@bBF%*vyrxB&zP&2FKtJ&S9fS4hlwbaVp_%Gs}!xb|_v-v)1_(#9)H#yey13OxCp
zR9<ALH)vO(F{wxt8V0g*O%e1d6nYhm@TnMTBj+lTsmEL`82jE{1U=!6bZ}5Ochh6n
z<!aE+*tdbD>1jyvi$YX)1_N2vd?`!&jo2N;F@SZR`Mn2h@!575vykvN&QXsT<J?B3
zG;)01P|VCb=}pYMwvANaHAE#hCW;E6EEQ4#@9GK91_+P7P&PoEoTO-5vH^b$#?_w<
zz#c3c@DG3*%LdS|eq;lt;^vl;Uv&-42G9y+vjMMS@U<J$qx|0Fb!gltYVgYa=1y&L
zJZ_GhS!u<WuxIcleFN@4X@+&?Hy_ih_`XSb_;4q`iT^9FTKjVh|0>7MtwS@H1vAIM
zAM+do`%5?AyI!E%M%^+DRlC(YV>M(g0>ih!2AmQjnTOLDIfhMr6)rA2={xf)gO|%h
zt(Pf7MetgCrqk>|FU=gujeTK|9wT(eu#fgHU=NM)1uQXaY|-|=G>vmeu6mjWA=oVa
zgLGQG*jQVaFIBSCJ=7ER_Aj0vqCA=SV1Qu{hck-0cQv64_k%9%Nz*DxlC{O{WkxP{
z*X9tCX*|{GJ?f{o9np;p_@MmClz#!cZ1M#xvWYD_S2pjRxONx%ALU`mi@n_d!jKLn
zV!D%r^cG@>0fv`%4$?y0H1rFiZ}k$vdsVBSy#Pb8t6D$ehor<+tqi~-nw;Mk6I-?&
zP)}_6&6VR46aOGx;UD)B>sc_cU$e=sqC(tiiWH5FgemcppM%5Ij}*-Ugp#LdnDavU
zhJWV%U2ckIpNr7HkJ{TB5qFW(cl@kvl55GYkz<3&e*`lQ;lvmB=2TUS@HmNV|Hg6I
zDQTLe7wTJvVI~z(!^12Odo992E4ZK9voy`oisKj!aY3Mr%?5hmj(b;ZV>e#8Q-+G2
z-Q#mUFBoYxmhem9OD2O8!Bmb64mN4Ku@MQ<GdPPm!UBBxx0H3-U0-NS>gN~F<D5i5
zy1S|yaiKiUi(q0Wi6|N_>63|uXUOA-hFkjWt_y^uP}gVx!(fh1t)VNAvm%FBs0Ta-
zelT_Q=W$kQZl^BSm%$~>@S>?lunqT=mu4GJCH^EKO#n(2J2%^%oD(UYI^hS0l<aqM
zu}NLUJlT{I?msprb%Tyf;KKbX0@B@874GC>=p35rxdZw-Nkqae>5~!e40#;FZRxj%
zAr+FlU9$zm+Z>-S-dl6Xl@V|6lp@7*K)|d#8GxHdU?g-tb?sS-=W8&XDzk2xQTDpO
z#z8rIos!}?gt;>K6+ZB0xMoL<%?Z3o-V(Om-zjCdzaOyw$s!n0$ojiPQa|RLQHXhu
z8C5WA^FKw<6VAzRaZotJ<UZ>-KFD^-7P7K?T@)%yW$jN_uIx8Ly8|RSc{t+yKz=`w
zuR{_R;=JER@MMMXYYQbS#2G?z)RL^Y7{K)>E3gMkR-6q~V95&l)rVxo26E;_Y=89s
ztL|!J?5N5xZFjf((cQLN+5p|s+Y+En`hfwY0zt7gQVLrrwMMWGv-i&3ncKNDmzlZU
zE)f+(1sp}<jmF>yDN&5^hhjn?h$c$>jwD9^7-Pg>_-jBSe@uMdbIyFvoI5kLwf@*Q
zd(ZcI&-<SDJ?A;+44uWPcaLFTxqA%R>gvK64`hpCr=}FU9dyU#*B$N=6I(92aeP;!
zXWOR29?f7^A^>4rd!FJK$EA8K$1gq-=JmgMKHZVX4rAuc;Mu%19NEZ=O3r;|*zf9B
zDI%VAPEau^nByR+%Ndb3zD$hmAzxFcXi-YE$G<LJN?_Bo5lN;!BxPCw&hZIkDvNV`
zNnSzzUb3hlXTy_X;?7d+632GpfqV)Od`qo(v69F;oA{knRmI*(+?GmU4PMD`_~LYi
zy~Rh(UywI4pS_}jEE}q9O8!z_b8L&IBzxqQ*I`@n!Sp}N8!uy9%BjfTvF8GuN*ZHH
z99FuY4|jxeZpg7y8I7Ne5(T;*4@zqJ+w$(__u*f>U8NACvH7H0rgSBrpQ3^sEvJ|Q
zEw6YZXHMR**pQTz(vmlFE<(K-_gBj20yb1YcitoIs}$Xl4@DZ?S#fP3a`-PPX@}%(
zsDbP7rd3g;;b{ri$us%q7}x1Yne{)wb=rAS8`F^#u9L^Yi20qP(BiX!>sT}~30#MJ
zYYd<`CMJ!cxX$j|8LmU_g7{<~9f_iM!EpUT#R+$7(bR%XlJHti#ay9UbRMTs-rV^@
z>A|MH5f*g*d+&_zkBN?*6JY3c6)pyQFW;g}TZCtS#(<&2X`efGnWxs{Nwn3Iy7QBD
z-^E^gHX;-_wh{DFX+FibaUMmk43_i)0t>Jtib~k&luMc1ZXbFZ=ntvlQeH%CBBGs8
zvC;ktYhH2ExLvP=BK;8s7cz%!w1=F@Y_w+>Q?SvVldj&wS>fpW_3~qaO1CAN$%`<l
z=Z3JJMoC~&KVnJcnAEkAOZyI=-HLm{LSf=TA+wmOOdU=Naj_^BN<)B5twvD=szOoa
zRVDIrbKh=kqzWr;a!gUSu*MZ9jVns$b&OY8L~1(<E@TZ;l#nkOMai(GKv8nim3T!f
z9O#lyZl!A(t^y-Nn3_=mX^{bL^@9?MCEyUUZ6!Cwzs_~=<9Pfkc%lRfz>Lm=u`oY;
zVoRt__&a1L)0=iBArxmcnv`jXDURV*^LHhjF@8bGz||ytr<3g!k^`rjX5g){$6XOQ
znX%0jz<s$L*zeg_x7=vC^A5_uWV@7No<8BP^$ZUu^Bt|NIhxhf245Zo!{pE2o9@uP
z!4hnkC-6|Jrs4^JWc5>&I;VM?{4w^T(4H6rf{>i_QYmM+kB5pf3*?lA7a~qFbB0B{
zBI5VGYCPnx%RNJx%8Po4t1+!hIZ_bWFg~e;KP}y~y7PNfvwV_&kqwhnyx7P;KRjK4
z_z?>$jl5Lug6m1af~6AT7pyMB5zRsTn9&?>_boinZd-%IrHan2^sP}!!4bbV&^3<u
zvH#8j;&->BnYP+eOm#ssajmEA*j>f$QPW%nUm#u7JjK$M>Y;$Ql|uo`HK8stcz?O#
zcTihHHZY#3p66W8J}Zwej@nk+SmeLN_e0~Co9Kqr0Tgf>XQN0V_G8cSwWg^%l1^k&
z+2pX`>M*bW?D+%>mK(ziRCq<%d>lS3n>;zWUJ~-GI;0r!yK^xWlY$f(j9y15h2%wW
z!JJIIMd}DC+?1a>@Ft3)lYF^K%9jGva2GO_MGbF~SCEe<hzfEx(kUjf_=@;Z`DxIj
zsj`wfSYy+cw_rHFbqC{Ls=9ngfpenR7{=kJ9jw?GB7I5mgqV@0F`hP%p5SLvT9)J-
z%kP5An^g*Z`i#7Sd}$FC<VXv}6iCYyJ*b~F0a;It4``AHPo~OD4P(sljk{?wFqv9X
z;`?M@<$TQPCdDMW8RK>FC$^qV<w|uVpV#t6U{c6oB7Mg@T5PZt=gacCOE9tiC$@MO
zQYs}C-5i#4nJax=>s4ugrGTDXy3>Fj|DKsx?&p2n>`i$~YQTEDfhm5*Mld@?4Npt3
zUY^-a!g`ye9$i)v*QU~^gmU)Iq#C6ZBG#pnnw_a{xM`R{8`!?%ibkq+6jNQvccyZs
z`joHa@<x<a@*CuJm*8i8CFfljDrmvIwmeyjGIv%&Y0d`zIfrtwSEIME7Uixb!{J7R
zjt<2?j~;B}D`NNc4M%G=7M9s&TDU4|(0@Qd$xUpCrQ@!~Lf=D{zN<B86)BcX4Wo@C
zm9A?nm|6&vo}I!&W7@fw#A9>kW2L2pI7Mjc|L3BIjqE+5v*!e1b*peTKv;W}DU?Rc
zMV%*NJIZ{Qx$~7w&<;5u^r8H<3jeIpJ@`y5HivhyRs3;wA&*=l>~5&ea%0Kx^aic+
z4TvtVefo0VN!9FY;tFR9XDwRx2$NV89f~D$Prg{1bMcL|yOAq{xju$KHlb&)I8jt$
zMo(F+6z0m@#K5w%AIU~PohmLh)yJk=+8!2|>r<?G#Yy9qt`g?@Z4_L{90nzE&Lle7
zId~CR!q@qkhoOF4r+<R|QqGQX`3sjm;%Ab(zpGRGuPbo3^E?ul1?ql}w3WH*OTX*<
zTAdD-VQ*|*p8u`Kx9ZgV1~SP|hq&NYV(q`{u(tDLOmNfheoY@q>UpuY#S~L;7E6zv
zDMyfE64OQj(3+F(ijwncDEfZc95CeR`Xc|S=+wdIhKwPxL!3Hzm?f1PnPYqlqtK{`
z=(g=J*9a!3(KJ=pr3Vsi;S{M>Lpue4ks^i9#J5V4_rZhh5iwT<KSRDTD{_75aW7Qm
z;5fp&QB;8yp{Rs7Nawnt%6K?cTq$9_jWw@0X>Db^69pGChglKMnetX-u}=R4`=y*M
zWkr_i)b5=v?k?BiuH1?|UZ;a)*gI5kpQ=;yH_jGoPuF3s)QUV`r+<R8IaY*X64OS3
z70F3=UEPT^oF4t!MZnIaTQuCxTs>rzGj>K=WN@_S!4lR>oO_@}RY~-_%MIO`I@<GQ
zYM6`XXkvmm+VfA!G-M4JJKA%Zcv-~BtkrsUuW#a`=dEy4p;X#PPD&+*OpM%>lxAr+
z+1Z5^$RYC|i5+6}h#hBm^eUcO*<Pi4!6<H}Oyx&$_CN%UALeHZ_=+fH^>BbCFKIYt
z%=Njhbc5@<2Dy!py9!qiA95xdR}D`Whz9Yvl4!_h7IBe1*d?lTtR>hq42L}DSPNTX
zN{_Wr3Vy7mgRb#oE$qMIV=YmacIY?yGvem9v%BvZri-I9m*MgrHXovx29HtoD-pBv
z_yDS=PwJcXRoouwyYx#Bt(57eKjzwf2j}YaU6gl)Khx|xIBDl8B7ELo6NH!sz^8eC
z+|@jC>fM3AzGXLA3-(|K)bcc|HSoudu^px8px)Yfe_~Oy_(%4Te*zm=n(L|E9)3*m
zYH;=5I)R^);%DD6@oU<%o63UPJVCLjZWQfumIwZ9+qON+_V8kF7<p)gKaDTTdRD)y
zoWi=KJ3z<`?LYKzyS>{*Ru@HX<{>!y!$K6=5>v#|g=!QT_*w=5YaFd-JDy@{CpB|$
zXr(`?t7iCf)L)M!4tV9MUf&H8;Tv}?ZK1!2>@!QMV}Vyl;b>|XArqdXHZ^MZ;1Peu
zuzGz@!NEqmg;YQ;`(AtZzTK{Y|L2mCism>tprm8d4hNUOXKE^;oon%(oMb7ZtdxPj
zB^8q@qVqM#r9Z>VjoJ|8o=ZlgGW+YO4=xy`gGDC#H1MZQ)mrSUiyAoI!ta%uHSjk$
zcsa>wDJ`uB`9L*>MgtM7^S}|Kg(nNNws8tap8OfL@7YQe<gYX!RMV|~x2J@H2gb4h
zTu#y)ONDOC`)gSUxNEsI{83QP)%q=4In^bRTBn`D?!2bNb22Guddf+|HSirsDobe@
zu8JLebcD`9A!v1=5c)2E4LU>XT9ut>gVcy*3cE5jfP!vf?@1e$t2vYgBTS{WFyvE?
zx)lC|h^{BCg5+3>5Jc1H8s6a63toL|6gsZ;qI0j*oi!A)fRk4WsfXXtJ+J3pzjyD_
z($b#ZvZveD9@|;m+tN<%MM`(?z~4wYSW}Qg@w6@m%EQ2nBYgMeS6u_n&N%I6su~K3
zs+kL_@$gWDyT{PHHmgSWx+bca@YDrpQOnZ@hsOOakjbtRs%Lm?S8;nJA&>g&+-1vC
zPbs>wsGInM{EnD5iT)b5t3uK4>qD<yFlqz)&3`JU-BfWKjaa*-sjE;S3_RC23?*YB
za-Zn;P{j-;C4Op{&jXJ_dhDiQwIKt+#4t-!h1*|9rdy|V7qk|1bs2T(n&zRjjZI)b
zClsx#8m6MQT8>7$9BAJv%{n=NVerTK6ak%tco|j;2oi+JQ}Ik9rW~|*Jt~5@c$g_6
z3N5Ye;!~LZY$DWByC@aGD6Jj-7$dc4vGCOt$p7!SWKVh^u0KJ+-g1v+W)btQz6~$D
zvUq)sej^T1kMYJtQ}QSWAM~yC6zn#bjvE;ympG?0YPek+5=-9OUr-m&qR*d4N91t!
zjbI@3a86%^{hZ@^yK^_4CRK<`tOA)KViLKJ$SXwtL}c>_$TlJ`6Zs91PmY2-OyuuG
zUMKQ_F_1$<{z~LEBJW=fato2Eagg;yo+k2LA{S18Tufwf3dAI`e;VW#B7a*8@(&`b
zHh_#1`Tj<b9}?Mr3CKYrpPmDGgouAB$P+~R4UqeZ9NP}^Q6l><1G$CBgF8V!OXT!!
zkY|Ye{9PcwBJ%b%Aparqi|assOXP(cKz>5xxtl;<B=XYDAU`8=`vH(6MCem->^p|+
zMN;<gE4#zWt_m|Wmz^%?`_pl)XCgb@G+-A=<{`#BgeLbO9oLO`2u}x%!7R~Tz_T=o
zq!*?F!_*UrWD`NHto+$T`LNTDM~=b9bXg+i0)G;whrNbFHg>9Mn<lgweSrJ1dcWN#
zg9AN!02|3i$PZH;Ovg}N7gmod+yQl)ahF}pwLx%J?cNt&VR-KWD7a-%1?(n4118dC
zYd@IohT2$wMLmHSOS_@bw_v-_7~s==_!Kau(dY5raXHB~$HdX9Yrrw&kouXUp$9cW
z(-pY+;hT@lADsUn831xD4~>StXlLJ6l!kd{gxayWb0vOqhnB@a^G5)tjv_K(q?pgn
zd&XW~nX%ieGPbi7IdXWqZCiq;>+n<XlwvqfHGejApaSt_YBUuFGcz}3SWUCvg5P2<
Rl7*XWk&h?bAwD7R`7ff$gmC}>

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.text_column_profile.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.text_column_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..00e9b2496cfdbaf66cf034770e874d349ae52deb
GIT binary patch
literal 104808
zcmeHw36vy9b>Ljx)7^9Q%xE-1>X}gqfz%S39sxp@8UzR-iDA&76JdsNQC*eYRWa37
zrK+qsWNEn#veRp?rvwX@%pnkx0Ua1&RvZGuB5Z6w^NbIC@D^+=YmM=O*BHDU`+r;+
z5fvE~nN>CF+P8X7Jz0@){44(d@qa|*8^-QjyK40+{4bhrHOiIRvAII2RI8VQRwtS$
z)r;-rpcZycbk2KY=l0HQG}$a1ZPnY&V$g|JL5*U$QY|%uTIWzF+Kko1O0_k|+plj0
z#jsMZ$>!y;@_2duq0Vf1G8zjjVKq=*MW@^t91C+-)T`~~TJG9reX#=Xu{zXVhwq@W
zz0zAd6gueslxVzB0C>Vqd22M8mk5;CM&lgr1JSx_r51D!v=<7|R3QwTm4$W)_#%F5
zE2S3Vvc6a?v|3OI&ttX1GJBdRwHxt|g+lRgGg!nr?Pz^iSi)DG@^pEoys^Bqytce6
zI=J_yR?uwiz2@fEJm=Eq?rk*dq_wwH2n+Cp=r#8Ogsr^{GVR5jsL`4W0rh;5k|obe
z=bA0RaQFT-?S=BHXsl8z1;-RpGAftP1dPgO0sYQ~|DOr}p9}w=hu8suniY!EY_zUX
zs5Cp#bC&C+b~Si@P6f{mMJIYTYqTdtoAUU9uv2K4pH<$Y5bDmJgjx&=VY?aR7n+4y
zv8>Sw=}M{D+H0d#<M=#M88EIb<?4%R5Cjsh1`<z3lOR=vrDmZ~R>&M(MJ1Mxo-5P}
z)#I&7E4Ns0=71%YBb8FSP|X4Baz`s6Os*UN(Jmqyr5tMoAkED&A>T2u?&9fi1(5i1
zCW{BkyHVm3g#tP9A`saX%n2bcz>ztokAy-=#7Y<S@fOe<luGnsWE|HtvvjHh!%_&w
zd7bEa{xUxokJhn@KjRI|<aMBTi;9E^b-4<ZE4<0KDxhRgev~@VrE&MOsDkEE%yPHo
z4%BPG1-W_yRd8!QhqYeGe&jBrFVCZbHw)uV)7}fUT0JZn8ao<i^btZTe#SyJ4t%Nl
z30X9GY`Hq$Y823ZOf;GSXvZT#2W5{yFN<7lzIR1x1C5P1nSgK`8R5WWqV5-FvOE?&
zD}{In(xz&o)Bp9!^q-A3fY|H-VpABSO$ajODg7O&mZ5xW`4^EHx5vyV-$oS&;5tch
zH4&YPrBC3Y7U^LA7Z;cl2quGZ0*6Wl@7HYLZKL3!o?Z^ZpjoYeiBuRud-k3ha%Ql3
zCwo<U+=2kAJ<3Lu#5h^=Cbibl0_xQ4h}aLELJuZWC|X_X6jW{@r#=d#xSxvRc8Wg^
z+Gy9n$aGEQ)$@Wu@T8CWIoGI-?omI>N8J&v&KX_ZuXa^_K<MdcDppF8P8%Bmn915w
z{uuaC3Te6jvLjjxjg0=kuJ)g7&cIU*7EATzLZ#M;)-;ZT(*p(J@dhZKF)IBXS|uzr
zmx8dvMglW`e4e>9o#=f38H~E@_&n?N0CMFofIfc;T(QvSPgVHKk4gHhzD;uHHUs5<
zRht+nf2B(zkT*$V14w@<MwCQehlWBQl8nKkz%i=oOe%yfKcP^0ZGD00G-d;-L@xhx
z0_6hTqCeV&C6{}no&uLpWgh}^+yi*uC-9DD943*AW-PYrd1b*I`CFSn<UBXMtnia(
zLL-1ok%7b+N`B5gfK?2{0NqkZ->CdmCh7*oQD9hii;PxBr^GdGKot(DQ&g3l@{`)k
z)W+&5JY*jwsxeEP^iLoUaAsAsRVvkbBWM=FdQ(wT(dx^DSiqA`hN_bc(dv4aQY8eN
z%=BOyKs6bSS88+#tC%-7w}fG_%;-0|0Roe?SZG(n{E<Sn9q7PCr?lFQM!gy4Tg!!J
zcuTvE%jG*j(UI4yFndqN-WA^mvzB{<+yPPA94g?778dJZ>^fjrz-<6s1F?pV=FCLn
zSyXxX$?|wKvDmIwnW;X3`n*)$g<$Mo4PX^;-caFS&R?-!3)L8jSd+|_Uo2J5*IrV9
zV8VQk*@*eqC76~PL|dAbVxcOQ`z>(CTXP3k@eTOnn#!?C?RBrs9TZ)~?$_%MUC?WQ
z1pq_zEf>vm2pn4sUE8cISHjAX;6^Z%*YZ_$(r8>)?ugcN?BXd97lA;3)R4T`1Vt|s
zSoBK}HV-GG_0<aaeub(sOUWm3d<-M)h+fp^I5CD`J!i<L4a{_{1ECe_*D&`3JcK>W
zL(qg2C()y95`6;xajnp!aq7|(Q@SRKeI}2?5Q>Qwj?f0^I5^g*R*IFda|f+(w9u@<
zqv8;ed$Dos=#)=rYPxUIGQVk8GzyD9R0LG6K@WhJx+-@tmW*gE%+8Km?oSbNugqR5
z!sJsxWT7_5x8Vnu+{85%c>*iZaHB26GfTdNY@;4<ZxQ@EsOu$y<WI3zRkXf`1>HV&
zqG*w?Ljx*P<gehVe1iNn_Mqa)C4&4dzNgApp*bi!mFD=<P4k-s%@cG$Hr;69+SD4!
zwO0&stQcLYd^X}R1LFGx^p%nCJD}+R_&!)lIVDG%t>jxMTyio?S2yyUqH{5`RngU*
z!3zh-stdBSYJM=RQt@;Vdi9}LVk7urnVyPMXXGfbV+cp9bN{!IQ_S~@J*(%U2E`CN
zCXGZSzSUl!rWT|9s&m7#1Tx;9sjcKJ`FZ5(47u6KTr*ySA@-56a8`=XUmwuGZ7po&
z3WD+wJrBzPji9%JFn6?EDVB4P3Mu5mm_L&6{d5u2zs%^rn3nz|z!tmruLb5=G2FAS
z22OCHTDdh4_@Qw?@q$HQ2#GVu^^|gzuoYAnB~mF{#dsWHc!XK;7}N2XjHVVVLA8`O
zBA`6p1DRL)TJezC8%)abmS)s)>RJ(1Z81lCN2C@>RH$A0&uQ==5kvkC{D-ZvFeD-&
zS*VwecR>oTH!Q#cEeP#6A|{iFeI6DA%iYam?Qs@jnw!0W<_6Ep?b(w%fCZp7gfvrp
zF-5YOuPpKqlC0O3lwNrpSFF7$@pO_r>`jsg{iRkTC{`9L#m?KioFq_-<UvNV55qsy
z{allqjTJ3r0lrdQgLuWog<w^*MW7QbH_8RbTB-<*GlB?Si=R4Dzi$kpFMbTYM;>QD
ze~|*6Tvc@`nbT@<AZZj=j}nouK*!`U_+zCR24smO*y{6o(Q8LEmiyKlPADFxovu5g
zEnNa5sbqP_p-_3#%LLAl`+Cp}W#V3_1D)SPtCA1FKVlKVIUdXWMLeRJn?=*fGlEq1
z`7_O5qx>tTl}!WkkkWA^L!n&q<!?y=O0+d=bzw|qelq`r%>R_)2TQJQna5WuT}_!M
zUshq)f{Gk|txU(^G;bV`8C=%4LnEhCtuCLw0npLOZ>+;@vVJ;roJ=b!>yl7ivff3f
z1X;J#n{f$<Bv|CE2107~+<ON6AIkP*!ReX-&MwLOP*i5fZ+Y~37pscqslDLt^=+)`
zTReJw6RRqmkMb_Q0btIUv|bx{$_JyXP)c&M35!kiz>J`ulFH7>9Z;~TVLnqAb4*Cp
zjXlz_lDNH2$8EM8h=OPu6%7kO@~-F}v0s-J*0BLt43GVg;zo5$+c`gH%XgLU)}n4A
zIRuGha*J#meQ>4kJK*G@n-304@^q(GK|#)&#_KH-PcCh8t;<b>E!|2WxTUGp<VmQS
zZbv$YrgYtLMVQW1i6O+)!!eW0qze}%hnAQ}CHJ^-vFFg-Kmd5%WV9tzA90WEkrpG{
zF+PSiL*%Tx^Qql2TAh~38cfUx*oLFb2=ZnG+Yq<$b5Wz5E4;%=*iFPs^hx>0-YEAP
zJO-Oop;MOrA@2oxkoUnKZEBMbBAL=8?;+!Jf_w;DbtxjG9^`&TM={XAbd3|fy+G~<
zw1l4E(>%$jpb@<fs)GQC4j}#_1t8`DOTN*F@}x8#X6lV^y&&HMSin<UAXJ5u@8eIp
zyGQxGzE)>DSTUto&QmXrFU|Y4j8``UOkB>Mm(@DLUZQfn1g7x?*-RrFU*Gnp7{};C
zE8gS?45$`xSn<mgE6%Cj43_Ihf_$mcDlAlkQhu>oSenl*)L}#HWx1;g)m8xOju+-i
z6-eEp6FysxZ9XKskaI%Ih@ZNO*|N@Mo!oYRqij2BOnAST(b3a;Q<xDj-u>d+WLDV{
zvfVa};EesH&Zl!Ft!+7~vVD8T+0Y2=t76)dx5qrsJ%HV`^8qaTKk$vVn0!Ezd>x7}
z!`))}=}R5={YGDXdr%AlKNsq1N<(8vC%F@-0k-6@VoO|GU&>B|$x-OW+|DKTzPLF8
zFuXy9VT`H}A&2~zPW)TlutX*-y|=nB5Or&)2D^kW1N+X%nKtSxuAZn1yIn}Ej>v8V
zTH9dU3}DlDO^ea3lUmc}fzp>cDSp#Q3Ka!UPo6>GCx`F!qXfAVfwU7NCOH|0T0?UJ
zw|3bvx<4J<K+YKIV@+~u+I_4z+P3d{YQ|)0N;*s!WTr`~=jR%*pQ?rlhw5>7ZscGK
zR&KFbU(V6|0#9nmJi`EclmbFN&*=Ub$4ac)4aK2|E_!O1pPRrIEI0pYNfKu>;baO5
zO1i?1`k2RxlR3_OFx|r>KLAgX{5cFs{vDtG0-t^;pMC^S7H^V+i+lI8##&w`l8hO{
zEj)>I99+uFvbmHTfJC2?FYg_$+BQYRWpC8~ih~N10#Mjj!2&Nzi4+_fefeLU@x7%+
zC_G$cen+;7?pyIru%r@I%dwZbUcO*7lD~Bd{Y>I&^MBlaYD_2cQ|!iAjVpFwM>Iaq
zoN0aZO=Hk3ai@r?`R)9P$BpMFc>-V=nhv%Js91}SlCV%y@g!%y)l{gvM9;dOnt7Ug
z<Z>lak!*v5v;iJ9r3jGoko_~{TyH7hx_zXkC8hK;IEp~&H$#YB`0On3LEhd~G)sO}
zDT~%K`pX=*{4Hro)!hry5K<(#FU3Z?_)OXl>l$*mGBgj(NVkFic7$rc_|A}*L#M6`
z6EKqS3<i#G+E;bvV^yBPxY(mtp1}|V7n(oT59XO;?4L)M#C(wCNHY9zK#*>@IBqlj
zw*ZvP^f&Q|ntu9}VEVaL%xd<pEL9d42M|Wem|?-u`!M*oD+Zq;QiuF*Q=BFTqoEv0
zcc1xIGDphUQkEDjR1f01<B&LBni$&wn}z5wlgWPQQ|woOrO6h{Z7<&@+m1lkmJx!Q
z^f;<hIvL!d<eycJMZI(oqw-$kaLFdESHW|mRA>JCB?E2FQbMrkx1f=4u;?N80QO)J
zAHWhG!8fX~DuJ`Chs1GabVrvm_NG(!O9r&bYc<a>Kt`zi;s(D**=oROk6$qcC0iij
z+hSnm-LzXp_;=UEF?p*h>k@0Z*M%!F`CBLUlWt<$5&1R)&MWTu@9qKYqRa=dh%&xO
z5arD}VK_y)g>*vHGxk_*8rQovc&daJJmoGP$WN3e0RUY?z$p!8f>tZXH>iu3a|3H9
zD<7bnBy5SMOU9ggg!JTKgJdNI=o?N7Wz#k##pP~5U8FGPqEp%vgc1B?->~z~I{|fu
zo!t`xV9>(OJ&#%*c0-aO=*$2#=&8s^w{GiQ7lY2RuSDL3Qy(1>@(x(9ilr0WNFtJR
z7K3CH>|b^wuP!+}=Xn~z{v{aPwIJej5@BW=`Z3|in}8%k3vsA>4X780t8NT3Ge*$$
z>|3}x2Bvf;^3}+}Iafgfo$Xl$&pLpsK8mnO9q%CuVXFq;#NLwO1K;XWWs!%Ft25*Q
zZ{{L4c-CR%Z>i!gI3@UpIetL!?f}AU?+AjrE1oM<wMf#FYSu5LA*P5Ud=48)Apv1`
z#u1`@n)}VR{IZ>P;)XT4^H)Th!g_A8TaxJQRm|Y)JAe&0o?~p3>PY{kH`3}3*ZZLr
zKPHHQ1il0QYfuUn-L@MTUulkvVU_jWz)HALkVV)-+bbQTe>R3nc5D!IzBl-PQqYsD
zs=6`NKKOruj*}@zx7A6qb?puAqFTb<U`xHTeMCqSF7m1l3dbBN*3Omy6OD;|wFhO9
z2|Ol-bICI%_8D5Ww*rtMLp~SeZ;3jc`m^hG@k|y31ec$Yc_udUpZYs-3%{!VAvGXv
zgAi|bB?)xot_O^|Gz~_SQ5QoCm#tP9g_sYRQ5!_89d88U%+ksv?v!CSr$J9J>_%+l
z&#=_4R@ECQRh^JE(9H9w0eAm;D3mgE*n^Xl<3aCwVrnAkQgPg=7zhtn3-g{TTrHe1
z$;s|;H6y7bPmLsJ!Rq(m6Af0=r{M&vuf=$79(P#g;m(>$J?rL25r2nV^_7`I#B&B9
zeT1;jP(#={ddxK`XUbiF68NDy3dx#Stg$e6{c+hUdT7PxuDf_(<gll^DzH#MSGled
zAD1++g=yU}`j~#?OW2K()84pPtrtRmg{9EWo9A;{u@23jIiXRPopwIPaKxH~JP4f*
zZ2{;KXs~^B-}xvC7hOm_%-PX%<vM>wp;~NL3nBO_;IA-s1zV$9h2=&S*0Ag(`EntI
z^W<=aZi}X>a;VzmYPO#)q!5wsA;dG}U%cfAd4wz6k>$~MB#)Gvs`ejv<&9U)=U^`y
zZbNGW2a1JSZUGO%*IJblgceG8y)0g(+^R#hqlM$G9N(Updp6#pi(Hy2!g+bgpn>)o
zb8OWF<=9Wta*X^0Td?#0F%7aU_@#gE_V>3Ts9rm86n}pj8|~tXsppn~Xq%insL$yX
z5vtSnO48BZaE6?n24?Et<)B3mKT!C0h?}Q>w~<!uz4X$&_ud};<!R6p9{mfkkv~hu
zsKH`fFai(|wcu|hBj`foRo-B!K7E=Hff!eH>Ys!e5yw|(l;C<w_GEX6slOTW%HH(^
z(~)|qm>!#A%W7XZ^<oOAa_WVBlFYO?^(6ooFR4!6gMu}fTmQ@WMBRG&G#t17>UIOB
zb})clC>akkvGMzG;v0$+&yguD=HU`>xKm|5*MM793az<fy&250vbh`RD|SjK%N`ZJ
zG>A8Bjtd-^k1KxalkgtkX0p0=ySDF<ZAai(ksyY#0p%G!Okrv*K3L@6NIhCKDTflq
zN-5E~@~EV&ZNZVSFXR)@NYDBvA0qm)djNZ?lMi6YU*a28ij;jJrzeVflCf~K(5dtd
zW7K2~t{M=>fo;dge%a=~qAW1ruqT5VF_YE4Si9jKj*r>8wd6!G&lyij@-Wh;JI|SM
z7Yp?>x=nk=-gHi`pVZ~YprC@PCnqyP<;Uf<0IkdUGg7ZMj>LQ??*=XnZRM?=@ZlPe
zFSxmM&?W3$C@A#0xgN>aGj5`0nXX^;i|FJE$W=u$o$Nt|&yZ(%^Ia@KSN<VlX=o^E
zXE}x^CC&QcG~^VH{$<!`mk<XKY<HUVIns*dW)oFA&9s&vv_X9u=9%dERK@i11&mT6
z<%F&iZt})T_4ChxR<WNi@~GEAX+j<qUuibX&~<tq)nO_)K8_kXe#96!S^43LnP*j(
zC?d&KRXv$z$waEqaWWn0dPx$oE34W?!-TA=r5><fh>Ii-e1}CAg0?VQ#Y)t&W}?gV
z13jpO1mzi0oCcmNws~5$_cGlxV)8-gP8GalrXsjJL;8Mf<Ueb-F|Aah7oD+P5yA<z
zy^1+tdkd`iL>ibWD}IL(&5avp1>!bfR-}xWd@T)nf+b(YM*b{O@0LyQt<)-#B~&Lq
z=?$Q&2*~T9nQuN+9lVD^_%?Lwa)_Amo+01rT~AC$BxWiZa4G{4KoQnBRRBeJN0PUe
z0173nBP)vUS@>k<ln9^Dr{RQ8Zi1u|+(7~dtKmkHVjp+Hu)Brj%`h*;cq`xj()2z(
zGp9q-M^NSYN>D}blpayO07LhS6}Wf>vF1rNaYToCAxi3WBSntkCQttAh5Dp>9<a_&
zQH#YJCQzR(TSX79_ynp>RQT>D$hvY<&1UmG3oV(&I@w+-31ACmxI;`a@yHd}jS;<}
zDKZz=In(3N%{r7|X8PijJ4zvZs*KjqQFx6Lg@ky_tDuofD+(dO75??Ku5wD_jATjX
zIK|+Pv$_l`I2p}<>L@g`pipCAd7aOAgL?pbNQn<%2`S+lb+RcTr47pL=EN|3bx1kb
zHf+Dc=rh?HQLUyUV3cOV_HQs+T2RF|8mbDtldt&usL{$m#!hcH5HQy*gtUBN=`r`%
z9`Ty~uJ~hU7$)ByXLCy!tag15UHpv`XXl}do-m|4bn#s`BpD7}FaQmDDqQSVRlVzC
zFw&;J<Cf$CKxAm4uhSEK1#!vEDB5EhRGQ-g&~wYlUbxL3Zu5_C;-Po#kX9YO01O@y
zd@Z-oJPtb<U^BdS!GG#@($<jEHh?mlA*bR$zS{uk=8_R~jwmy>aZFE2gzx+`WEBh3
zbFtAb?m#8%t|0I4x}#y%eYyHe&`*NxmLNw5**2LAa+lYRA7Zh;Si10g;IRa<?@6%z
zHY{d5s|N;q`eIjllR#ayPD88iaNy-onh*}eSE>M;mQfD}DjS;ZuE%SP?hI?K=vpPn
zcQXYqxvJ`=qzdxA7CKI*4h`}#(&$*i;ZYvk>^er;%7Py!zu|M}V~#V~5(A5$QsK~W
z$Xl|E{>Bv4C3UFm895=p1a&h|cMX2mi!G?|QOEGEEExLGcP-3WF)V%7$NgxQaeo^c
zxmG@^+@_-JgPABxt_9sD1lK(D``@!5$O#L+y!m|%e50w2gb28$-Z_d%b}3ECpvboc
z*kg0N*b7UFoxiXL6H!m`Z*e@IR&|?;>)5I^H~Z2!G($}VFUJ#{7+t{amU?Qj3A<(B
zOXqON6E6ykiA1H=upVOV%egInN|I4+@qL3w$qF`k7K?<^cPZ-DgL(K$69uQ9TZeQJ
z6OsMUp<cgH?=Bf?#e%GZMnjp2lhAQ8b*Kelq|vqcS_sMsB<Zt`<C$4-<ScMgmo8$t
zRM;-9zc9<ldj>|`uH`U!jxT{h_PVrCm*^#EAxphWv(HD#%cze|Kv$Vi_10DYL}#IU
zMrgXq*`@eu$|WAX@{|?2*q-T%XV9tx%N`y{CAd6$*uq9VRs_mU`LnO(-$$m$qg7`f
z?r^0i8cK5ihgaQLQoO2zOuQ`(nl$0~7HHv8eW)cl_mCU|=3dH#;|J5AC)RcE$435K
zR1<ns6B-&56p30z@`&2ZN4){e>fC9A_b@G=pbT@)cb0VST~EjW5;K(yxK#*0hADyr
zsS=JNyd!yQNjTE=h$G>M?^(j}p8+wpUz<J+C*k;VaM|c7%&g}xWrzw6V7@S0mQjGv
zM}F}XC1x0R2Wv9*a}5*P8<;h5fj(!(H@Q4Ecj9Y}Y#ZIb;<JV^L1=z1KAo!FAGDrl
zVvUvUsS;CLdNAoYV@w~i9Xr5*;~7bQ0zyBu$g)*Rz?{%?j3dP@8o>M+&<fWn)@X9s
zaWSj7<y3S4`pUu!Twl(z=v2}-bl45&mjEA`%DNPv=n)h8G#r(6ZKVZYX@SGH*$<ht
zLO60>%*pK$85NfRqz}b)wxYO1ceBUl@%$n^Q6j(OF{^BVSkK`X3o`jzS7X;_nxF?{
ztLS&0dIeT%FT+;UVxcO&4v46?<_@sp8}P?9m1C9KoFHD;)`yAs4U5sm1v<G35^<Y8
zb8G#WXykR+jj`QfoN<)#E8f$f7OMwNRv#0bg(n@zqfQ_bHZ-)L5k$+C>~!)0lefAD
zuxF?F0G1RvzR_YS@$LuumAwRimcG+5|4pN(WG7N}WF30|=oo$n2i{2uXpCr2TQgF`
z7R`*(sTtY2ty?9dAnIa9)+S-bHF#22m?;l%b=U`abc%j)&=gJc)t}G#;V!Phv!Ndo
zne2n!PKw(gm5Fd0MpQ>q2Vy@L0ILI`-raWwzlrF^W;@7L7IVjPaLWO;!7_Z{sv^aX
z{1c8iL!RUVi`A7evy>@-WX2l|Mw!h2AjzzRW@=YK-2CYm&Rufh)7hmFi|ras?8}=9
zkl0hS*0bj>^r_|QNEnn`vBPh@;VvBbTW`3#*U(TC2luS$t`=J|@*hkLewbDa$iHI?
zb}d3o)oj-ysFxn{__A6gWtK)!Hg49<m{VXym}e3j?cxqWLi%2jh|`bdW|`Z!M_gY4
z+dIOb#Xmf#r`sJq!dc$Hs?nOi1JZUU+IK-;35j-mrI~gkEM+7R05u_m7VCbo(V3gT
z{4C9LDR9YERYxFIn*9>!IGHvyNg@f;6~phMOF|6aQg1WMndb!Gr4UBu8&INV``8?s
zJ_l2xGvtgO^n!XKs)n+wF3c@mif?g@)2aiDi{Ap>sbZDPUIdrN#cSBef2wT*8zwAR
z4isXoE;D$xS1}uGZ-EtWN&_<uaK4@r&5aumawBd7W<|;%_j}WzCs=YfHu7gl>Tgy)
z;tiCl2FQMB=D8n)JIy^5!NbsDk8}m)_yfJ`iOGkgOT}^L)E8%HguxU}m%9=F5RPyW
zB`39T9SspNk~%`#NOBe*`bT`C@ge#&ocPcI@X=vs<lv%18E+zCVDu3iI!liYAx;B|
z46UB_)v;m;iU(qT0^DPoIeK`sB11sBuDH;+;17!miJwx}Q@?MElThxMP)sf|jol0_
zCUlMy$b^{C)1i@XOz0x_0QQ&=AHWh5!Z)ggS5Anej0wHm=qcHrsy1LSF`=s{0gVyu
zF(F2ZWPK|p86GIwZR=K95R1AP6S7HIpE04<pedRrCRF#sUBrZJ=*L7RKLm9(w3v{3
zKL=MN=w-vl5k^xt(s<B+a0TBp9<<XI4+13{ECo#&5pq|OdX~H!MQ(=tS8vH<%b8Io
z^qm}6P{8tgicwvO2;GR+h;~JU=(ohxkdVEa5;*b+3H_oG60&z1kFCUn>{aFXSkpTu
zbUzb=52Y0Yaxb=EF`<~QCm|;EsWgy^RnaH0(Jt-~3^*o4&c^x6+?lS#(VuujtFCu`
z16p+lh5isq6M{ncO0(_#1cm<I=*%#-idDo=01pa%lLD7qRrLf?1%>_rI!>ky4GKxZ
zbOnXF=#mf=veYv}KT>nrf<k8d*dAIUICNe5`#tD|q~(za6kgAD=_9o2z=A?&Zqdam
znY{=u4+`zXM*eecI|~YNGiHQ^>@Q<h*x!R$yD$yplp%YdMUQ}jU<hJ3V1}d&4IM~>
zo?y&=Y~;_F)S;oGH&CiFAU^_`%^n)kRV7sidCDHAtWu7@ws$?jaU@+Tjyn~A2n`9l
znJP3SyhX`LOK6Ca)DarO_bfE@4nT~BhUn99LPPrwx0_+T1-=!%b|m$MC^>P{ZuZTN
z0)oW2&<JcBjB%hbjn|1U@j=LhZn+FZL8R`ui(Ao3@n*wGK~;IeL@ALfmd0Zq0x415
zi{!Z_*2x&S`iN{bdc=*d1)k6dh}&0Xflj2yB)aK0GR34KpT%w{gJV{06Q8%JHRkB!
z#TSXB-uC$07s^W=vOjV{mb7Km22-ro$i2|%(AN1@0mcO=uJl*_mQg7ous~W3GvR*D
z0P6~0S&Q!A3w+U@eP}^0?UP<hZj&c*pc(RnH^Y&pu+f9uhb<Vee=mVep62N8@l=Jt
z4LXsc8;c1|RWN_wd0+ZZVNhm~euhspSwWu?ED{G8Y+rd!s6D0!6L;W7>w_A6o+4;<
zaDV#2=*s1wP#b_nn$NcV9!F2MMl1j0m<;}2mPq}UDQl743Z1?+ixoOmwi<yijw(cr
zEzmkiINVW4f5;h6&GW28F}>x9$wSV?ZU$?4E_OneWO-~b#VUnNL#IQtJY51Stj@^H
zNNRDmal-eqINP|zL8&sVjqR0`J90e^Fhj2OX0Wg{Td@VRG}lNVy)2Eu2`r5i)mSWi
zEzJ@P$}CM8pQxpwPf3=B0o;$Jxq3M$RR&^fGUmkD_=(nrX^paDL80bdL}%F*`5QUk
z#kx0{`|5JycG+qKKA$0oMAd1m%3)28k|3OS@l#GKs?L91BAQ;E$3!B(hTRzIT>b3O
zj%Yn!JH%T=>G;3p96w2E+eVIOCpiY44ozuW#8as4m45-g5DBIeZ{@_dDsFXic<#zp
zSb?wKv9IH?PIB;hJp5K3dZcpI(7U1(Kk_J!K0`j~EdgAskJ5~!_VJOJ%$Yvt?s-@F
zAEhCrh|~T7HrmDKZ|`K)6mnb$5h!JF64fHfT&)zC{EalQ(SYe+LkrIkIpW|MFnyd>
z?VYno86y928uSF|e}s+vNw2C?BjW~KuztmD>oyp{>!Lq3NS-ERCdO5hW*-B*;)EiN
zl5YY)dN7kReX4go5hX|JrDA$)A1rAy5hWK>Rd@^TMm#DZ)Tm^pB}#rKVCMdc8`faH
z;+6PBeMS0|;45-RDr-dICN_)ng@snW6dbAG2bu>Fp?G=L2nG5oIy8OwkY_6UDs6~T
zr${|-tAwL@dR-}zYK^)qzX0s<n^meu`5M_OdgQ6!Ss4b$LUG)dr%2{{lFaZgw<i)7
z^pX9gPRM0RlJvf3Oioh8ZVcbE&mi_MIw4E)N^LO33WVGQoes?_?J4lWM;%$=qpsA=
zoH0E;)~l}$Lhh*KK*iOoZE#*=JqIVQs6Sg`7uTUz1KY8}`Vw4bXLW1`)}NdL<eiAi
z47t-=)`b5%x-1+6e1Ai-usj)USg6*Ehx50z>tWD2(J`Xya^u{qZ&<x*)eY^1uvvg_
zM=ZeSorBU6d=#4AIvBg8ET{y#=c*;TG>KUXr>z>06b>s#;Kt=zDOU@Yz~I3TxV|ui
zdvBZdHk95PH0x9QmZ2tF=!8e>w!yGic0HwkIlKrRL5GWQ;t1i=s={Z)D{$W~mRIN?
zrMUO08`=%H1tA_=bcFXRcK0;34|ZZU8+G}`a;A%IqAqFFibp8HHI4`;j}82P@*0d9
z6nW#x{$V!R?@v3~$vxO&_x|-TbMA%59$qy002@b4GH^**2jG%g_Dl9&2zjnOzmNtm
zu>krUHrmDQcki|5>4`EfLR^j-k`s}m643Z-X%L}nmajsKUR>du>kwhjHOpr_dgb?+
z#k^*2RP1ut7CL;*A`GddfA^ZjCzA?L@=Pi|u}msH4QI`A<#N3gJcU_Q7`=}*iI(l5
zU1g7IKkXElI$kS#bq%szwi<=>Bqfot=2(XkAf`L}A!jySoSiFCOuwdx$wSV;Zj3d>
zx+-{xV(jtx9Q~<}{ygXCN$UpNxbY+=)6nVA)(u@kDb@)ikb-0aLe~XbIpKS*3-(-9
z0Y?w=V`2p$T{V=fgRMhW?>}WLDHP;7glmSp(pxTsk3U-Ee??6GVMe%1X~-zNi~=^=
z#b<PHFXJ@2oB&yvZJnpef|&S;?<Lct#3~>O?KCJ*|Dp*kJpBtq)ziQD1zNSY|Ccfl
zej*Kef<wQKjr=*Z0Tu5o-I{nF<;tw>GAxUBzRw%D%;9imBh+a4J{Z)9hJOHx=-Hap
zvqm-)->7EYf|xbX|CrG(ImxYJMm_<}e0Rh1alKJ9KfYk178^K=mr4cyeUwbesDP>z
z$pDm~RD$muT_gj9R!fx(5SB;^bhl&8=<eL2h@4@L^$+lgI@a`QIF9wrwFbQ*I3L#O
zzk|D2;mU0300W*ryzXZyVQr(=S@_h^Jbo96Uc)KAwW4MP<gJ@LCm?@IWlx>X>FxTo
zO_o{J8{Z&XMUOu983FHGI1M6pUAi#cRe|M+yUKMM?v~U@@3_a5B)hO1>bSpO1QVkP
z!DnW}<I6eq7wYw#YoUp-`1Dx^_97>+3D+@P2#rAPdtK4_688Z1>lpX|mg^Ysjb>Mr
zD>{YTTWpQxn?tWQdP){`)zY}GW5DtKuIRjx63`gYejNiNMY5I`^AN9NxWLw}a`05t
z#p@VslBQqB5P!3&J4tV$=Nq3wdfx7bxVVeKhI>q5G7h~BZJByTvKE(Lj2vwxN|&({
zTpD^VV=um<UON&r!yKsX#&O7dG%JOLDr7_;(Xmi~^hM)%ScZIlc)StBZ{;?vtj(ns
zB=;et5R&Eq3m3_loXRW`3)}w(xO7j<rA(_`^$tqzSg1vk$key^R2mA471bxP(JpQb
zd#`yf0c)3=WuinS2C`RFitq>h5ExW|YhgjSishhqICl>GTc|CuNSyJRuO6oJPrUI_
zmm2SdR`DuIeBkR3p)~1|0%I7{y6HDpPQ|zjtFIR69Qn4<wNvKBl?C6Tpe9#Ut!0`G
zSmX)lIGIxH$^tsJj`2D?{4Q{1KXfdAngvVF5X186BTq`n62mJcIt<gN>TXLi`EV`B
zFNfF&ja=~(mD1!t087smFxd(ndr=y;zjR*?VUQEI?7=0yC(Lh2A_X;1ZAWxk(&UrG
zO0EJb+Uzkl*+~oU-v=066jT=8sAxPF-jC3#y(3Oj%^++y=>ZWTAXEI{2s-5wX{sIf
zrIHYSX~b37Xczf7l6rTSc8s=|29$vzHzSar$M$Sd(_L4>$EwYcgK0p7z=s43H%r_M
zjXha`Sb4ER8vwb2@&+Eq+bv%i{#B(6CJuKe<kD#JdRZdzrhGY?25DinLTn_V17yhE
z>hK%k+78rOH1cQi<ZalN@kFmD;Ucuk47no>XevL(fgf*$#-98@Y|`-q2Z;IMoTnm0
zC0r5Vf4Lj++^_I5rH5b%QBlR{xYYsQvjEk@fF}!3(Wl`AsP?rE2S;l`>nXg|K|qig
ziyDEm;xP_1MB+Gvr5=ipTV+pJf5m&&iRCul>hQR1HG0I24`NMd1O&?;7f9_ywdP+*
zbkoPcVp5T>V>d?fy3Y-<|LBA)DY0#XDb`Tr^U&$gA_i6g#zp98-0BdE3_GgzMa}?g
zWWaK(gJ^G@vlX{Gn6ITAl65;kcxK2N{Ksp9318TgFHotYVT_+iVBH=&w?_guutzAm
zcV73dRrEh9!?C=eyUIUS=FFX(4xlsBbOt`r+zEY3FijkCFoKz{ceuJ0mSA)70JbJ&
zJao&(Pc}^}|74=TpqF7%k6(&5+0D{L-eRtrr3+=N5jcw|h(rk+8>Mkk&YWiPQz`;#
zkgkx3rZ-42k;qH1o532S>zt4!86+D_v4SDzL#IPCNEX2r=4gawC)MwJIPrTKqwRd%
z&P2^HMfR6c{>U;8GD8k~Gg=s;3$O*Vnq>*7mmv~(fgzG28;ggp{dp4%%IwdZ@rl|W
z`jljU7{LA5pM5j|P%92%b8N;BWeNzAZP3cUN-M^pmlaaI%eYl`J9IY}RI!dv7FX2{
zy-T(lf#p$5Cc_dz79O%!AiN^n7Z*rvK&{b7B)aLXQA{fGVeDqG*62|uWJ%V@22-qV
z$O-6lXx7Loz``Dl)J&xo=^dN_y)4oe8A)a$Co`hmFQn{|KgZ7DXoxqHg(bQZTQE!X
zRS977)P`o_qC0^PSRyH|v1s^OqJM%xnI-xTK2b|VpOP#Q1GpbcbmcM}&dYf7s`{Pz
zOSA18gV7TW5K|hin};?ly9{VgRH4T{^IA~|F&z3VWrXUdvD1LviEC!}mt<DUw$TTk
z`psZrkK^G;WkZ9WkJ0(tSa2Txjqe9#Kj7`f7s2C!dW~m|fre}5&GgrHNe0d>BbA7R
zhpvn)&`zUO@)T2(f38hQIELS*B!rl4=Ix1#vh(XUVe3}kX5jK%H!k*_Uv3}(ylygD
z_Yq&|9$eYZ;Ymn7${<JySa=cewQd{+M!>09#0?hK+z_OvqB_*cB;{M(hzyLB6F^F;
zAPhpj(>;EALdFA~Ofo*;Mq^-PTt}6wZj(Oe9@~S2WILR_r_((wG?xO<i)@@U6x3ap
zB!4)zf#ehf8!b%SlKdEan4$T@rs)^1@TeGL>IMH)I+^5tV4Bzf4bBM$`Odr@t|C4Q
z9w3gcvOsY=MF-$^S~#G%os-g6>jY|F<OgfP(flrOkNKVdf=|@%q)!QcC%5%kuQIxF
zxd7i)&g3xWBpz_xe^#HfaBNUMC-&6kbMiv!bHcMezbBrS-RE2<+m3?IiDVdx&v}|8
zLmHp+OrzDw^f?h?yU*E$i<irEu^Sh=fpP=k?{mJ)J-CO3DnF^2r&K;?Pb|C$n0Mna
zFaoNMpsojQaYK-vit12)rhYJ_e7hTwfsrzH1$9Ec+dY1ILdFA~Ofo*~Mq^-PwE3K0
zaF6Xl!v1_tCWx`;XgWM<2tBreWCwz6_?$lj|K;TPoM7HY$mgWSnEITnIkWANR}Y_4
zbO1i5g#+F`=l1{(=5u}@pQz7CpN8afw%W^2q0b4U56I`FJ()hIC`6wVpLG?v;q>f2
z=X%+81bj|P2E*q(8v+%*;+))xw*@%Qkoc!@HlJ>^I+@NULTq<7yKwRHl`eJTVz*3g
zApD)p{qDg%OjAG3W=|}<2)N+JVPFJQJwROngl-7ZQ&Ant&r2E%DSyR{$iPS$`+zzj
z?{<%$o{;fCX~^j3D#fasoQ`lCuF@JPJ1MRbYUR;!m6#2ouF^Wr?aZ!{=m1<L3kSSi
zrLO=S%vJhBe4?%reHxCdbOVIv^76jaJl@_qfMDI#nc{tOU9j}wM(tG7#U_qjfxNAj
zp)oAGBeJ~F)x@{C;MjKuxf9FZlx?Grt^CAtHx&){i)MdWjMU~{{cnkF8u#kQMyr$Q
zULnM4n!~kNjd@A_6+t#M@ZUh$&@`}H*o8hGO%bEo`5RmaGHYki0cd9ncf7Up`DY02
z{49K;+L=BLOFLI;D@Qw<unbB&clT>7dAGvW9-Rzghlb^iuAN^BY|6Ur=f$$^C}`(y
z5~b75H%M&LXy=1QtCOjn5n^BM9P^S~k02Y``T0<Ga<p?7n?^`Gcfrp0PhQ4_AhUKB
z9e{SWaK~Fa-vMwi-}#sEiE3y1G#u^xTFr0HF9&d|Pbpt3EW=el18}0R&E`ZW1J#GV
zex~A0y9O{6_ZdCvf`9F*qO0<IxRhmawBIA!MxR>oj<$<vhEAWvn^X_B!X~U$DD7>2
z_s1miiJF~VjjGf8QKMPks+|qu7yCe%A#$k1+ztwxzxtpN^8O<?p!Pr!AE0~h<yxSo
zF~DED2S^_YqGMzw1Y<Q!oz;g7IKS(L(?tlsC{sL*$iq06VMX5!Wka)~o+?O~(-EKM
zbk%bg=VxZSDmnnWYT=i+T|I3^*wv@u6Sb@KX*hQErdR>Cf@)Cg=i_(k7P5W)8dM2Q
zAC`2t)siYb8z%G=3o(Qyw7%1o__KjwS=T>%WZUTDBV;rcS{l}J3RHXVV-7EtXeXLW
zi;Z}h(W-B2nZiaO#P%#;7cPoHO+Mz3cjIEWBW@t9SwP$Vlv~_md)V6k_NOp3{LEoI
zLCA{`Y{MMRLfO#FVJ|%*?BJ-*TxtN%=faTL0E!O409rWYZ2;c`aIl5td+~`HK>9Qs
z1NiE8D`@6hL8u442C=AoMK&8~2dED-c$Q)YlR7sn;SNVV@P?CK>-O-!af!;Zh<rr0
zjed8<+ruPcnI@6#nCWry@5>VNWRr-e@^o7NiP5TmlZa#ZEt?QxyGiWA#mgi<;l{;o
z65T*}o5UZv#~!*#WN7%A#CVR7#}RD9Bt8UXLo<mUIz?E;5uU%)Fn)}SL}tS%Isn6H
z;gh#vJa?xsjI;Pe4I_OTj$yoRp;BnUr?H#O!L152egwsUqz_Z5UZ3C9t6>ADZ56=y
zb(QOy_;O%Q)>YtTvTgLxinn@Q<T1?Mx`le3U64BqRO>$Ceyv0{(a^Cjbo##9Xx6u-
zV}tmaI)vFb4Hh$#yb@tH)bk}!HZ=9@l5?S#M^VD4LZ0UmkXa#%4nQGWIODC5e+l4V
zE0wq56IICcX*ddbKitiq$1igaB;)m>Y>N{KLmx_byRsfp`ZLt;r2Yz2h*F}fg!giR
z$g<G5OSX-Ed&R3<g(QZu-OSb&^8SG24Ap}Y;Y77-xmo0QjaGeYT{?!J(nW~v>x(X2
zyw(?g?8e2uzHkF!U0=j|kacnWAMWuz))>a#`*@%<1oc~F#PfqZfN&dD?43|HG%IFT
z6vBRu)^w$o>s_4lnJt&-04$e<8{U>{^DbezrtyhdF8VYa%k@gsTeV=R5LS*1X1~T2
z*{zp^qYn%AG{b@^eHvD5lZLuTCK;u=dYA>4WL-c!L$-|`7zt~pP%g7Y`#Fhp8jJQK
zqt(f@Xb7?0qIKcoWzk;c#>H;Y+(4wVXl3{K!?$P*7e9*@&k=Gl!fjZzGofr~7A;wE
z2&*=F)0SGcv$zCgwrrvUuxu8tcw4r2032*h_D+1FmW@6Q$FkiJ?-*cP5(lz2%Xp-x
z3zj}CoO;T^(yw9Vw%V(}n$7Y?w{{P4!O60A`-p5i0-MGyBr+`Cx>BVWI`$SmCecl_
zbF2%U!jBux`ZjcI5Wl4c!t5I`i`hv&i!d9C`9n}PG{x+eccGkD{;3|Dlu-qJKbL~c
z3R-jk3fjUQZw38t00&dhKfoudpy|_a6!iXE+J#zJ!7suNV4HZxpqYfB4~49*g_Zsc
zMLem$!k}4PqN|1J-PxBJ8)VxN2%5zNpc<uoSX>7fZKFH7>1Xr~_1>$tTOysTez8L%
zGk=cJtbg@O2k}$C2s3!{$|53pYxkvYK<$eNK0x=@ZtJzWSG$KuzfMSX#aTBolDBui
z#to^H7?$tOcgc>zk>tIB)xiT{UDnz52L31a*dDCvZ*L%DmfwmlR!3wPf^9es<4`s<
z$HA_bg~PD&W0b0Pq>jP_XMAQyL399)f`uF2j>1O(4(2F)6rZT0K%a)=C|t8#2#aOd
z@6d*8jRxQ<T%IjLsX)<(v#>*nPij3H?!pH1B{&RPneH-tiHk;-wc78=w$Vpcd}LB1
zi?K@Uaq+^RNjww11WS7DZ;e)cI|(V$YY4IL5-sK;`5J<3Xxh&}+0Zm?l28j>J8EJ@
zwe4e^@tL))=m4~>g(KeDcEg!M+it`ss%`1haJ21Jcyf0TYIZ)Gn#JM!(67^qeq~)5
zigleV1&zvn=&JOYK;^7Sp0i}z=z}X>l`=vYI@IrQ&_xo@WL4UIfb<1MtNv9fj^Vf5
zLWu2ooi1Fw763Q6aj~yL+(39Q00Q^eLtg+eH2f9-@r)qPMX(LCv=hpPW|q2ifv`s-
zGdHOr+RfRW*${~izz|t@;BAOb036Ki@8A<PMD%GmhUl7BVYyKa@~z6P1F=UL-F^j%
zKFpHpA!$7t)@g(J65W2aOt)1Z<)V?r?Z02P9RasrC4m_$?BVu*TH={(tGZ9^e9>st
zzpe5=wSy4*y8SU1$)^xxL%)6i%7&(2lZ0BR*_H41>taQ<?Y*4wnYFFx0JN=zBi`Ef
z`v3>iw*QJxRNK<0;b_~JLz29J9{V6%|BT<~6(IDXXVq_p#@!i8c0zjt8a6J_)$7Jw
z_NBmtY&!xUzKscDEC+fezGozsiOSWM_&(cc*0**|llVrMebsBsMREqhY^c|@P&PF6
zYL#W7TUY+~ZxxxMigk?hJhNgI9e`rB@WNZMUI%b6#d<wHQN>E1hND=o4l4t?3GMmW
z0xER;K2+)!C8EOnGW6+KTnx&T|I#(-Vb1(4j_Q(Z8{NC&gDRX9Db?t$62(+%^i4*y
zld47$W?wZLvydD|m<=_$0A)i{quuf=bm-_v6IGxk&h5+!RCE9e)WQXC1^N)c!4&Aj
z_(T;beHxAey(TO-gF-3aDl9&gaR3F1K9s4tWYT&xRO$xvCB^~NGF`p?0T+!d>h(*q
z?FhsHR1%nRfL^DXzb+9?R<iV9v`*V^8qNAwvUCu?ur<Q$t7KzFlD|Zl4JG?|C>xrR
zO_FP&YFB<JK$k44aKC_5+*w|mS>cKfK;c?A;;nF}&k_oE3qDbWOP`zyH#t5JOd<Ed
z$9Ky!<pRrem2Weog~CR@u?9Y?JXWk0S}of*bn!Ja1iK_$^vQ&)yiq8o7^vCu3!+oP
z;8?h)Sg*F1YkL~a`XcNGg@O3Tf7$CCdz}-n3*~cRZ`gT<==W8o0EM+2g$v*s<~8jF
z$MhU;)!WS?WEU?$v0NQ(F1Fzcjar!J<p-jTqNG}>1)T%Y1l&FqR%%PFPPDaDFScR3
zYHMz>S+9jbt<;IeUsb5KgI4E6hi_b*J`hbV1+}1A2<uH~KM5{-&<Y`t4L>%pVe-)T
zVfZ=4f3}-d__Zml7xN2+;$eIX!;Jx4&EuVD+hV;Q*6LxPyxhM!+SG!pKkxwCvBi3G
zxdSDeAs1F@z%H5PWoX)hE@xN?+#N|v@<%Hn?4m(t0?05TZy*acHiJgJ8Ro0Ok)Yby
zzb2Y07pn5-ShO`bRsmXtg|OWcmBym6Qn1iog8nuiEi`LDE2shXdKpS4!)BovAX1&T
zM{o?f(GK%LtynKXElAt7!^J(9>}gftd8hs|A2gfwX1-jgm8t<`_{I@b*nl5R*W01q
z%NXsY6YVnI7+sK8fP_YyS-&w1qV-Pwh0!?Lf;hB*P~eF)s(@1`+EgvnmfD4-04QF9
z-)n+eCprZ#WT`hx`BKmT`G8?6l+xqHdTkNV1d3Ej`9?EXtl;OEqs@hOSkK2r(V7Yf
z)uvK=xq;W7F~I}E(gFw{2hCccimaQaB|zO;3)vqRHCjQtRL>t<Mv>YQ9Bb5DL0)Z1
zrKA|<k5pO}CZf~%Ql(W`fJBRga=n-k<qM*XfJ_S@fdiuT8g#meSIgsEZFLTHq8<1I
zgTQ5NSO++ay_JCF8=8fq@+XMsR-9EJIkhDa#A;=^5_Vp`>YM*I7Hw_>jXaPgfZ152
zB-@B33k854r$>}4hhd{NzjyD^qetf&$Ki(Y+FZT4w6_!-*$XvWdppso*n)xrE%IRi
zxg(f+ooE8e_dN5$i-5A5n~Ozb7%Yj0*(rtz;eM3XTqOt>=`iJRxe7x}hJ^)~MWwLZ
z**_8O0-0RS%jqe>&$k*VA$LSuTE}Z4{aVaYxmsB&<7ersbrk)Lt>pqtv|HLRuUkN<
zQ|NE@GheM23!JpOisb@KAz(b4Z$M>ALTG)s-GCuBgHj4BA<&=cfjdBY>cvWJ5oACp
zhHa=STI~hB-j-l_Apoa3JPu=(gCK<7PAyjJg~Rz^xlpO*3#C#spsM2S(b}MPqyt~N
zk0zLkfH?``RjHLKcmq*BEHsw_P&ptBTVWs&mk=~1h(ak?Y;|r2C8m|)z5`key)DWg
z<2Wr!w0u1lvS)G*T9&inPYW)Yfa36YgEpow4z$W=!58D{d$2JtC{IS?447CYkC~sA
ze*txZ)GxwEW0lr&9V8YF<FCP3<z3O8D>BjmpBG2Z1aPHpN%>HDkyP<>_P5}l@pbTL
zBmQ{;|9l7kylD*nybb?6xE}s|9RIv~0{*-Q|6DKyf1ZthezFn%tl0#A_Tirc_~(b4
z;m=R-&%ImV&qwgj^j7$DD*ic!e{RP=H*JGIufadlr@)`>_-A}O{MmqiK7T6wc^v<o
zzXSeUh<{GtpLgM(ALF0Z@CjRj-?1h5ty_YhX(RY4H-euFBKS!mf}f@!`1uNg*J~5J
zf}70Fz#qJQl;DMG1TS49cy|xM`+W%Be?ah#1cK*A37#z_cu<MpVJ3n*j|uKhCb%<>
z;O;qsn-K_ZSRj}-BbZtvYrzL37zHL6q#zi`AfLxS=xw*7P3ruo!n>(h0Sk%J4+70f
zP|b^aY?i1ctRBoA&=<=K^{P}UwCZ-FP}ZK*dYlxa(ni~~{=s55Lv#^NHT&XkRz*`_
zgy{ZSw6+_-<Kp*CgCny33fy-K<tJb!zqNBcsL@8D35ppeaSQAp8&KLJt$2ehrW#{I
arB<xAOJD-(OQ<ZSN@y;*WnmIM_kRI2M>#$K

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.unstructured_labeler_profile.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.unstructured_labeler_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..50f11093d21b556b737c9bd2b4606aabd8204ecf
GIT binary patch
literal 30250
zcmdsAdyFK<S--uz-MziX-oy6t*gJdtNNz6i?S|OA*1niv$H+N*W8z$*<Z>SO&h%_|
zduDpl-E+6=VC)1O--!YOH|8NZA;uCRBoHE@NZ}7a`GY9rAHYB!h(8iVSV=$z2}@2S
z48N~lUDeaw)4R8)$ZP4m)7AC(>U-DsRaZSZ`OFRHckut%!MN}Fy|o3W)#`;UHy*M*
zt*|-hy1it0d3fSO!^ekpHWN7);&2c(-67k78comdv?8}RJU3*sR6X%K@q%nW9lOoM
z4|}?~H|b4z)8~eDZ-z}Ke$sJ`SM2DSUYtaOW-^G}R_%Ug#qGFJ?ZGH)`>06m&}{d+
z+%<w{Ozo$J99|4~4V&safG`<)huKU+Ps!WGrsPbP+3t?tbBD`=6^HG0k|gq11_>}g
zGv4L5Vw&A_v*W}u3h{fg=XAxdJ*`1MeOPgtk4A2r>I~R);;hoEp?A=m_x5{7y<Ofh
z)>=FhyHULOz<b{J=AXT7u^)v&yx4LQ2ft{Z(IOy>7X@V2iv?99UKkjNYIFpm8uIl*
z6l1E_pWZoG@piCDzt?it3@i%*csF2b-i^TM&G`2^{5y_+Cuo|$ROIu?)!FX8<3~ew
zM>lK@I_@1c6V8g@4B3)seR4C6y{YA7=nT9!dM6DWesU}h+pa@g)L4m}UemMCNGRus
zju%VO*k4~FN&p$X)mqrz)Z9Ua36Noi&42}+)yV041}WIx4+>CfPS5GA$9`OEhf&Sx
z_dDw}C?{-OyWl5~%bE#nP0Rt67KB{PZB1XP)Z7hpzg4j8vUfcRMj^`(b?yRZzow|7
zxCzu*5UNe-rowsJqA?W%`%p{ly{6WZN=wnT&UHo&)Y}B}pBS>`O*C65hG&>7PJ+JB
z6}zGIn+AU>UA+UE9d8=34}C^rWz=EM77te^=(T!k`BC3VyrtSZ`eYNF&RNLTx!S4P
za@cckt%bZaHeMIZU5Rf)wph3aqe#4qu4C2f2`(IUOzj|_fYa-RiIcHNY)TMG36gqD
zWnl`;(y1m3Y-X+7S&I7(*~dNo$c3&y?+!^s0`$_BM&OID5d~JtOQaQm+Wi8xa2m+g
zDM!JZWVaU(&{SlaJ0w-LI@?@hn`TcG)2z<+ftyc)KpbjzfF{BDfIqvYN%S7`K1c+7
zJSCv_OI#;n_A`9;*{T0{u}~;BE30Bp<G0GDv4^H1=CFrADF**H^T0pC!6)O?brU!0
z`0yPJ5<dCEmS8QwLIY_)O(5S;9Z20Br#C6IMwWEf=JlqCmjBWw*Jq2##U^?~$7C&H
zt3L%@KE);JT22fCsz2z#3m(x_6H5vZ{IW;=o3c^+qoe+n9CeOO)G}Rt%IwPfGi4pw
z0ZVafRPOJ)y%ua?V-23KK^N(0&apkJU1prGo8uI_7g%z*?N-=z{N9l5?61Q`MM1LO
zhlZWxB0J<&5+_=96KGvM9K5b|>3j~^ZJW?Wq{7#i#2Cv&tFHoUFMw8mt&uWuR+Hpx
zW_~Y~%<n5BY(NB|uD_<b*7(~6JDKVFe@nVHop}Rw-is;Tyzf{T;{%w;^8T~J#IatW
z6&V=loDE%YXky2X5&#S5?%J-`Uyk5NiAo;RatS)DB`EB>k&}dx!H{g?lm_`!2IM!C
zg3Knu5eW+F)I^AG0X#Eo%J1=orJ+)Hle?qf5D%6l2X~c&0?pNS2A!mF-sucn8!UEB
zJm~ksC~3r9CrUmr2x$>}37i|8($HqGY_N+mbf3huo(DevSg|5|S9le?GmeD1p<t%v
zC<;6J*+$TNOA+MdvQ2OXjcma!)TO~{`2e~6s|FZl1^&hq2V=(fC|z~7Ks!}&b|oH1
z6-TNGZ3I4EK0kvaOx;_eK+=K6YLQ@lgb;-qH27#ap!tN51B{|$Y4bSFXp4`R!?ke)
zUI}QML3y$6{#^Og%21wBETwW-ASQ#A-~<5BdZ$EVf4LOU;3x4qYd@sQ9wVxN;VmW%
zV-@zlmP7LPEF@#Kv;;7NPlKy6ih6v-=b+K$+EXrFj5g;S3IZa~3D0xL_R@kPTnP}l
z9a_sEHYMVCn{=hT?|4&ePkYemaF5%&O#W2MJ4W!Fo&bCf=}2zH#fq{S_7XGntl~3u
z@8>js%>BHBi0o2L_-IRy2)G}S8gY(I%lE1LrbXU-FtyWmR8r@Q9n9+zfxPLCk9CsM
zG5m_)Fm)q*p(%+uTj5@p8OL^Z5oYDCvv6+Vah?<&r-gm8;nz?%^T9#<DT~LkDef>g
zH%TZ{=La>6mHLg^-`<B2+_iqkZ~Dpb60dN<iF){HxZJ`2f%6SV(z|SVoeEXLuRg}M
zM@)oRne)|P#SpPfke#NCh-vUsL{QHC!7lnK1R!Pa*ULC!i~w;<g@euT2@fmkm`T;@
znmL2JXw>=OlpNeURyEeUjfj<t`BV4x{KR)U{$no1{_jDEQ6!|&$UBeKj}RkvlUNhv
z3VTWEv@Ga!|3>K)oTe7npWX!`8}poDd)vO-X*DwO9=YU1ZjQe;beswW>z3KD$=(N5
z3@KLbyIG{Cf{x~c_D1Frw8Z2c`XkH*dGZ>Pm9Vuw0x4eaTY;@{ll(bS0&<3C-+(&r
zjy6wa@NV)Nb(m5Hv1|2*cwXp4?c~YYJ$?jZ8Aj_hif`AFu$Fi(mrNnDZY1py;^@+P
zG_a%(d#lE{EI+g)%}V}D8>yEnBbAZ*j{9!YZ~M*R#o*0o$(40*8}&h!Ie40W%?H1N
zKS1^z+gYopMwAngURleUtjE2B9a7VEyM50=e#@Njlt7{47WHUP>bcAyw&l!((t<w_
zKtIcYF0N`?IAL^i>=_R**@2Sad2}57F8-H`Gl~wS2%9)D4qtO@vi7YfFK5DUyax-f
zbL^%HET-{RskVgF9A})lnh%~FgID64Uq&5t{y|<fcmjWvvnG{`Az5;{U#pXPwKF(e
zu*Bk6Bt^3#RcnTwLANI)E4XNk!*tj{3Xgu)DB}G44T6;C<i{DkVv;K{`4>LjTrr_n
z<}j&`DG(BT!i4?EC@PeI<h`<I^ipQ1VhJEhNn!a94tjA_Q&@t}qcYbX8RsugSpFMz
zi!sNAMWby*SVpi`AS^lcZmz;M8gZ;rb#Qccr19eN!Whhsh)Zdg!8*DF9Oo<anuw}o
zF~_)}K|@r1e}!J(C#otxLOF|@%b$B^S%bKy#*@S<%vEtuNl99=rg!fkef|*H?yc*4
zL9n^GB}IEx8XJ$;`mXM|s({^4oE4N^V-Z>RKB^n+76Xc<rFhVc%XQcTyKLoRi*en1
z*87;Xid2CE<N|~HbX)eN*M2%$B9P~#AJqt)J#Kn$$CWBQj9mwrH#T11uW>WZHYkiD
zyKi7LI7=N6FsV!j_n=IKT7vImWgPqf|FftQyh;n^O(m)jUAY|WfPju?GN>JjyKE<-
z^F{Z)l4gkC?F1qe4@kG8XulgN;R&JGR0mj?=a5gt$awy7M(dbtgiNL>gC_tB{E(G^
z3vloxJ@WLt@jTrN#oj#1&v*^)Bgj>nT!wF2vpy2Jlm)7v*mCWPT>@U%f@(dp#i~_6
zY;RE7kaB&XM7c_IL~b`c?>1U~?5uR$R-@f<R+nlkVc3B_xYy~#F5J$y)LK45pX585
zsu(dfLaEXq>d{skACoMojKN0K@$c)l?91Cg9V>Kkh5Uy~7}-tZX&_LX<{qmyF*AwR
z<_)80m;chH<X>oN<Qjnd+{T}yQPmvd7t068&$Gw@a*`+X##&{h+ctI+gNwOmSLkz0
zytL>3wM<_&7n^Htb8S$P9u$L=hlWW9()#(II1V#ImZG}=8yiR^y<9rs(o|A8MY5@+
zNv>oRAIc{i`O~{?LfV)JHjzvcAf|pucE`8!V373>K9h(2oWv9INkOWxf=?3yt?hu3
zi+!R!E8eqP>(%TM80%*7(ndwS6cwA{Lk>YTKD-5kmnB&w)`FV|$b4j^C=Z4}(A9VS
zZX9a@`9@SYf0AO{Z~7g{{keXVm27(_C#sBqBQDO9ggV$gSMXXBHCPt7y1z1ANh#3I
z@@-`hInwWwH~`YmjyS8qBO^uiz%|O48CsW7F0)9ZoG%icjo@2F+aIPznol4K!N34O
zI@M_`&&@NqwK|y|*Xi+S9(h|79B<J^(=I-@srmS*Li%EA`}f}13kRK6ZN;s*Yt7D}
zg%5$SdtP`Gg4ODFv@hS9tGIa{Sedx&`O4@qqglUzR-@ta2&Dz#a(ZQ1=!`M8<ABo=
zbIMleXPdOYmg&^C7N&}%b&ibqUF1L(S2eBrhQi~&j*g3Q#Lc@#&`88@1V054znpq^
zZv|^<#Ih~v4mKeRX=)F$CRpgX`5+ua86u*L?U8(%(S@8YRc!BUg<fTBPpKuffGGu8
zt(%nr(dxnqd+>F0@Cm?x4J3T^XfK+BUxoeQ?}Ml4*FU0W@Dcs%Y5dyy1@gl!zumr?
z%j2z%JQBQDusHss63>96B1C>AQeO}*ZRTsGl9+7n$30kN>(6uwSKV+6Y2Gpb${)0x
za@+PjaEqx`ZLL-w0DV!n-4?MhfvU`U`|%$tVL9dM#y;Y6R}~yNT)Ol<U=64EC{t=P
z)XvE=hAP-x{3<x9>cam}`2hI~e>p(TQkUMC0$^+|-tvzJNenYy3zlwMJ&a9{*O#Nq
zSeu$|OGz+dtHG_doV*Fs7+Fr{hcyJPi!HCYUjKn$yfj#Lz09ebpHUi`c0@vSZd~eE
z{cKa=zH%z$PvmWU&gQo=#ar&*Q$9exRLB8xq=McQNX4v3599MwiUx>{(DfX)PWQCi
zsOV<8wk?k7a#v)?bf9Xi<d2}Wcmw^D<-q2nRSqyJ>3Kn#-zXnp<MJs6*(@rGH?}`l
z4rm!FGO}38?FGz;^>fvY?O!Mbv@{x7E)alWV;kGQQVz)`Vvz#C3_cAW8P#p$>ryN-
zb>)KZlR+deD7YEFbmBp<71wgr82h`Wli!4#Z-lY`9fOaUi%~qO=wsgWQ^W<|0wS({
z^s#Jr1NTj7l}oWlK_MOn`!*4a?|RP3*_yG(JMKlURP3w7iU853UelEu!!CsO(HQ*H
z44fMy_kE<haj&QkZ3KctQ-FCsn593JwvUO`{q{(>%S8q!-ad%|h}vijv%bYa%$qlY
zZWY9=Q6tT8kf@v>X7JcZT(e%jZ}AtcRYk2{ytd|XPsxWA`fQIfF+bf!xMg-+GqXyO
z{#m9}b0uF4zojyc%qZOqT8&0Bmrz;|$)r~%=VzTKJCa#;&Vig%SrvPR4`qffcD^W7
zCgYtC@~IS8HT|>=#XHZS<6=zmc&A3=NW60div{t{oO(A`VJVF`R;fBPT6Uz=g5(4j
zk(ZedetHaMi3oB-@a?>6xnP};ix=!#fosl%N0rdINThpe;UMV`<n|0(VD!?Zd?~{K
zh{?Uhd{InVwe9yJpH%L)UwUN@Q!XTicaonAeJ;~oG1La*f1HC?T-9X!z(eJ#TYH~J
z-D2!;#@DDBVf+!y6fk~Hy&oxJhm_e1tAJgzJ&tGar^aA#guzR@R9kp|qC&4S%ug1q
zVwnFJuR7lBPK!LP{!B+dYb0`G@*=u38Mv5@2nq5Voo`d4F$UN8eDh6wSHE`Xko8M0
zxNfh8&p!QR9b5bdy(C`5Ne)evIIB3zK+5*U8|ulijkg8sys{B&aNYPaCr3HfB#{Yg
zTTJAAG8u1fAhyahJ~*-GrZ++CYp79mVjDWH+6wHAm4Vu<B9q%r#;CI6fTL_N2L9(1
zzh!(qmAxa>ZHVIKdPQdMltaFu?44SIX-ei~?>sPQS@w?Ji|pOQn3%}k@n2Ubd*|^b
zUIS~ukPaT&@=dOAub^|1b!>Azx5e9BZO98Vdh8#z!4}Z$TzP7$<nxFV#S5v0Y+rnL
zZo1EZMv<(hEQC>FtGYFCXf?a0f>E@!KhdqWFKN>6PG)n^4KFuaY$Nt*jiS6Qv*oGS
z6urSms2k2IDS2@^FP&*C(!f(oHU4Oi{!HoUX1Fe&tm(L^sttPR^y&xBHo*5}YUtaI
zZK)o3Q0W7bj)>Lde8rJ&I8(a~i52Jzea^9Itgq;`W}4u0G|+tT*~)w)%>1#SPc6iu
z4WH4#miu|~0~0kjm|D%{DYx;BGU^NvX@T;#%KR+`6~^{U^owtm;lB!utppfmee>Uw
z4EnHx?$z8dv(?{|2#AXf>~`2vs^&P(u)d?juu96d+6|mki(|i+aEL*#<-`lkFme|}
z*}_Bo75_L!pI&Eu9HStS8d^STVdHCzZ%ScN-l;7z<@Vv<blYvQ7g(W-6E6KY=9Vf{
z5N0sV_*ZXaejqcWhf-$MD6#4GipG7OT`$-X^FL@*bw|w9o>Gr2KQk)_$Vs=-8`Hrv
zcEtQxA#V#TjIK*dTG&`RT0RLQcV{kEOZKUhj9e`_{-c0sWZ9aZyB5f_O;Mi9M4yQK
z7pJT(ym@sgEt`sM@Dfpl_&t-B)%qkGAf=B&_)8nlZ@XeVvt9Ub!9Frp3{(xRZ_Pui
zL0;)zs?=;A3Q|M|Uj<sOzK2=%VTja4(zBFw;;z^?q#%uR#SWg~-hoQE>JLIj$~7f}
z4pDJF2r3g(IbUDrY{bD^m5oPu+#m*;sa?uyHgLW)FQ$YroUf8y${)gz!u9$v{o<|{
z|5fCA32?8(^-{+dT+JZIySF&VA=6XE&ez{<gXo5y<T&r^rV{T<ce43-#<P`W$XxjT
zo^HjqA2HHE#<YoGSQP!NRS|bhKdrHm=i-#RrYR<aKcQ|oI~bvh^sC1?hR_9nv`7C!
z>F9a3l_FAk<EHv7_-%B0^$klE-j<eSoADVpLC;9ajkA!4Wj4kcv5`4%G;;+1Ox@21
zFI46aWhIByLWC&(UV~WdvKdxV%?MUfb92g7hLyzKCL&0l7ozws1{HSld-RLjN&c(I
zP6~iWG7l#2r$BoAq*!qj;7F6YIHO8l3}7Fx!oM{7JhuA?*j~}F@n2ckaATJ|ha*Km
z-Mf<=9T=Byo#b&RH^NOK{8A}kL!R|%*Hb3}Dh9y0?Z>fK6&G$1&GzE>+g)PK;@t|u
z;p(npYUx|cyj!X51e<LRBD&wKp>H$WuS&$NW^4~mrA&}1!If@@^&M?(oIr>Jc3VR>
z^=>*!-uPJi;4+(8b$jvzeLPU~Cr+Ghf4Gc`Q~337I9IXvC?5C9$3fJ=(}5&xHs}^K
zdW+#E0at`88;-QYFu~<JxRFc0JUzh<&;@b5LASAn4IbSgN@j5~qTg>c!!F%B7o*F0
zQG&bRcu9k<!)ovoase_%lnvzNY|CuF_*k^janHM*;pv@hujk;neEB%Z4!dhUaD{t-
z260+C*>YC~tLSf*4zi`|EYPp(bWt*sM7Yj};2vINvwjczPjv1H>xe<pKKU~z`Ps=w
z?UxNVio&SjA)tbL-GFBT6=#dEgJKtp(aR+7Wyp?Y-ekH6j?W+yH!J#8`7dBuwmxdV
z$TVh$Xbv$D<pD(<enruNj?-HmAhiyRw{W4xPTb_juEBYhVbp50T)Nr=!_akb%eW^g
z?6q-3G%(_~@U58J_SfL!u~}!3gpIU_?exJ^2U>$}A3-I_ct9*K@WFEtE`Op95AqUV
zw-*!n)1rRt4q9OYS1F;^A)GZA#%{xG$+@J7I}rTXr%N8tmpax36Om9(D}nHCW&1Ii
z7$P99Q~}q>Y7M#xj$i3FN53!#LSA%16llW_i2=#?;mSk(2o^m|QU%WGt%4Cde%DWi
zZ{P9FmnYe5-|aW(WMr{D6;R=Bls-5f(35zunwKQ~cxiF*!i5V9{dF9r(_09m)y0;3
z9=ja+@#2tOM=dxgXwksgq##tn?~-!+Ctvrb+kx5HsNKvALnY}jN7XP1KEI9^d^c(H
zVZ5Z<!4NZvvjQn<CEoD#9(D{o*==a?)ZjP7C03W%p?DpeFV-5Kzv^}H5B$5kLx-2L
z{rr}RhP-CtBF;5WZ=Gm#!lolpd#vf<aM&gYFXRna<|st%M+bcz8ci2R^4lP#9=HVV
z37dYe4IWU6;RvaUc(7vEJLGm(aFS1)tYa+C#r-dr*mccL=senRabrxUfy*p$2^U@4
zc#-XLd*|tnN47_(2*@PZ3wtv80j>>kfedGc!x#wclHfK=umWz}psOI+5v!C=z~#m0
zt*sw$Fi@K=j70TmDipti3CL~mDhy7{W~i9<Wl$ylVmbD1#C44PJ*>{1IGc7#-e!|t
z90Es`qO1BGt2?=OXIe<y^%&!b_Tfb`l>r8P4d2Ok&TI4Y()gKb{P+xh-U#2y&UgFs
z+#FBK@)!yaHF2kxJH`Wcz~pF7jsrNWoQprnjwm6;rRoW~n<b(iuEc}{bXUTT77||d
z+DxIYJ!ADaqekV8j#&M}2H`|0Xq4-+eaSaF*j}hrz72}($3C2S+JO{+Ct+Hr@22fh
zD8CFodTRJiC<a`Q1yuvKjQM6MfPO@4SF3oRF6J_@&+qZG79g~%biL``78wAkE6Fbz
HtStOL;CZB)

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.unstructured_text_profile.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.unstructured_text_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..73759dada3375cf8749bba0fe02d6487e06776f0
GIT binary patch
literal 28111
zcmdU23ydVkS-!n}-(&CT1!ukXIOgIxe7kF2inI3lb%_(_@cLw9j4-Eh?@Z5j_sw)q
zrhD#g{lIo4Cw5ejz)eDsk_ZQd*g-Zy5fMZYj(92xFUd$?BqU-WCP6_cAp#;me1AQ<
zt9rV7dUnrI*3x;WtLyRC_y6_RU;kfS_2lG-|ERr-|Hlr59mn-AE?bR;A2jT+&t@7y
zz1Oz=sDG({{Hgxq{VJR7S{K5g*R9)qwhKAxj@xQ<ZNGoE&*mt5<hH_PS$;aS>yaDy
zadBtTnR2Gj_N&e;n~dD3Woxh4l@It~)a})yUe|6^e#*WWRnBySri)xu2xTTH5k-o!
zKHcY(qNyWns$+q+sP7zNv$eQ0&N!QreOO}?E!VgEYrS=g?XjY$>#p}A^qu-T?lwZ|
z*L1yQg&`90d(yYs;@3>0*GV4Mt@^pH-K0D{HXT_T^s4V1a2A|>&Q;F1v&gKK2SU3W
zuH5tB&;ID!er%=F4ZLurVMP{xQ75}ApfFq!lo>CURgQ4Er$JPUfJRNeTkeMF=hdfo
z_tu?VY|`}`_C*a`fxB}J`sG{;EU&}AWB7MH{vD@20;aCZdsbx=9n0<Z*-h=B(QDZ^
zS9BuF(9&mb6-AduF6m6IMSZL1+~6!}&^<R4x~6TB*wog$mS1-a^ayE=Z@7|=UT1Ta
z&<6(oMkQ#D-eo{P2IyzmEM(5w=vo~|gP$F{E9h1PA=H9SNQKzQ8(bE0K3_I>BI>6A
z)*V95)|{(JnsZrA*xm+l+##4MDFC+1LI)`&lG{U5n5RMj4i&=QMatuhl!Z!_59*5R
zkId@heRgtGxn9=W?q>?Q;2Xy71axm*lO3fpcR|78O)YexTu9ipJnWR-K$VowY6a3<
zd91P)`1XlP&>=+}u5z`iK)6>VR!;Iv$GP-XLBRpuj^+D7WTo^sn-aJwNmY-DC{BT6
zt#YEsW-qo|t6|5Y*<_~EwV@x++kKKy54AL<;(Y1*e)Ol<O9K!v?h`O#I;FWlO`*;t
z`;n2wN5Q>?k|t-K$mdLz?S*J9feoBqwx7u7+~&`=K3_PGIFAyW9#7chJjN9d`aR40
zo$mBLT|!lV%tVvaUn(MXhDa53&QNptBz`c9#KW9K($sA`vb!x8lc&a@pP=eS9zgN<
z5#uzjU9b6Iy5_hLhnog>jrT>PW`ZYh6KI}^2NS8^%14Tg`F%_09C7VMK=J|?(W4v(
zYP8eyVR#J;_pw#QD*Q5A{Zdh@oxxUrU$#2W#ww|*UeK#@UQ&9V?MYNvjMKi3?Khy(
zYZqZ}Y0ydwXP%9tP^$h{_4@OtMp(CYvk|l{*YC64olTfUNQgE&P*0P5B=mWf$m(v`
zQD3x#34e1{m^*!T<ESH>^xo#GsC$ig^EW{074RklrC0P`I4{R2jXf6g=&@ACzpWQZ
zb^I#>azPx*Ya1l}t!gobdV(ewvq^7qY}c-WR&}FOgWGvs!+Jbe_e`WkLps#XH*=7)
zO}pR=1HF{epUS7vrIg#J0mrYS-_NUlv+GJsqf$^4A)c0n6qDj-V>o%oi*d{Bhj$Ex
zK%piJx#QJ)YjFda;-DHBlt%tW=d(6!kLapi8X2PZgCdlf*F@%?V!}1f=>u4oDCg_O
zxXo;HsBn3AbFfpRsE{u?uz_Q{*r8bU1|7R=ML}0nW^C-F5*Pe3;b;}Y!N!6C)$4gw
zWMK$1LDejqa(%ua)~6pn$kp_dG2)*pCI}N-)9SUN+Ig$hvrXdIk+9e41l_0>wykdT
zo?bwU?`NS1y(e^<OAprJ8K1+bmX@V7S+p`|Em|34>5nO~kLd?S26Pd;7=6S1VN+XI
z_|DgzDK^vWwOV3YzeHNU;Vcp{r^i5?MWc#~h%g}QfgkBU7`6VXI=9D)Y5q<N4vN)^
zm`PS27DPWRb<sSVmhTf$N|GQLFQzz{sCsrFt4avUbjyX|WVJM*^?sMCAy3Ubo071Z
zqWi^EJLXt|<AKlVV(P`bxFqI919}pTF9^~2JpL4|blDW2&g)y6mbJOb`%^TeO;5@c
z*o*4zi=CERcccEZJi`U6>*J?p5_rEsg_B9%xn!s!g_D^27un8R>yXTH0qU)511aTS
zqVB=z;Qc*uj*GeX8Tu(CJ(1%ha%mc7I7Kqw#q#BSjp|$Q{z+ErES7bI>`=%v@w?`3
z-;G?W<vwB?EB%TXj<JJjXubs3?+9GKJu0r=x2VL`r^mq*jn-MVr|H_QMlH4Gk~Ss$
z!u++SR+RrEE}32*?Kz{?aiN+t^`y8fsA$34zgvi1Df#gBQtkzBhW-c*P3Bfi$$HS(
z9H11h_pU>|+fjBO$@x7?y{|!owg-zRqv2ZWX{CBU_evhGEG<>mC;{%t$g#QKN-B7`
zhNL>KVeu3A8(OV$#i-_Q4xS0gjin)Br1HX!U3Z&qz5k5&Dp<@FocDLcY?{ivWdYd_
z;}4*kXS*xaWY*y<pjU?Fn6?Ucv4g5RcDv(Pp&RNQni7C0UaLp5Q}0SOVoo)w6|r}h
zAo>(1IzOv!Uy4~OV-Dc!MbqN+-i?aATk*e4%xKZ)#ej_+ABNXFo2<O{<fYUqn%7|9
zI?oOc2uzGp#yd%cUdJ$%zTjOy1T&I}W5|Qb-^{amZ^0jBxyWIk$o#ExwN$BQEF$<A
zkPC`R6CQOM2b50*in?Mzcq>{HEM9QQF%Un;Sa7j?iiqT)nqf0XJ|~s*KhAraDgE?H
zZzi#|1Qy;qb=otRDzYD$@60}ZB-L2HXcL>{D7eIl&(Erl0`Dv`bG4ANgtA7#N0B!l
zJ3b0x;08v)0B$*>AS2&mvB<=bu^|~D!s*(FkB>)&pgAx;3aj)gs19^2mZ)_>WTnY#
zh;8OgiLB!#Y8?|<)s(L0(XB;ioQK#NNlK+Us^iRXxmV)IErK(5ZmX(gA-H-NGB#i0
zzCLWKuc~9K1a?SQTe319@%~VpWkNI|7E0nF7D29w{(~US)kIb2W6sBoHIZ^y!PV{k
zdt8=%ZfC_!Bv?FnaxMmI>iP)!{dzUo&mveQQ%uap$BQu2=X-?~LQEQ3-fpUZ8c)Wb
z_pbm`cm%v(BU9%&{Let%`xH{P;Pr(Q;F9-gDw`oM&<NxZ*s1*E3&L+oG3>2-FQA)>
zopQR*+lD~8@OfkhXH*4PG-hx{cxkwcel{NaX&;UB<a=)cXJG`adwkq^*V7{p8fnkd
zejv6?knhQ<@zE#OEpj2bWd(On!)-RJ$G5BE5U6s3#`g6aQDa7+N78TaH}o6tS^z7o
ztM;L+jvP-nG`SY37L&HsdZ^*nqq8bVU0J%dLJ4x^qiI#qF{xGggQ+3jUZ^38wd(D0
z*&R131uR^veo_rX*7{!ZOtLBoqx|IMY+cr##9Q_owX2CEm1>H{Los_ZP5*2k|AQ!m
z6>h26i(A}4cI-tqkP$?nH@bnK#a_0%HHF4cdObeB-3>1$+E1jYFSpVti05px&&BRq
znh$7w{wQa6iq;~@NbHF8ZaZaxAi(I|&#Tp9j8_M0t4^i@91!<-HCw#8{bVud*&X?W
zAg+{%f3~=RY!R0YWQaJu$r1566BvoepwP~!d?|m*pQNfz@pSZfV$x7KQTl@cSRYbq
zYV4sDv9A^rn+>aMU=WfCK6RSI@%7>sMu$T*vQ;Rcf5aR<b~XjYcZ&%vf+95*3#C0r
z7-7kt(=6Gd2<_nsQ+7=O^Ddy8^sWRIqAeZ}py5fK2C*$d;+3@-<A;hVVQET+$72P7
zDLge98PsjV^CBecB^H)<AMx4PL)W#j-_bXmz(UA)*UO3dI|`xD7l^ult6<g{Ma=I&
z<3*uLiJEsC5t$7}0;6{`0Q#OTOSugxm!*<De3f@nj>ybao*tjR=`O6UMAQPy4;xzy
z>vkwSxEF$q-OysEv>nC)tF2cMD?9I;0M{)o2-IWRD!tPjDbnQUENaT$f<?QrCRZx}
zu@J9%(-~>|v^1ti(xjr%lVWta<Lc)}fmQ|A9;HHyN~|zUysI<<1fkxw14-55IKnAo
z6<|gaco;#7SS1Q7%|YR;TyP^tSQch5A+?T>kfc&gRDQKID!OyLfl`BEwGSgTC#*)V
z42vnH7tO$ex${<b!%Q@L@lvXKb5hgwCx(p*CHy8QH$SVcYDWsFeHInxqs0yO7^;C#
z!T?e^p@fWl*Od{Q7&ulcI~0Dpr9|1M*A7A_EqK2?1X*H&47+`hXDuEs$K|R6UMe_O
z_yAEU6lWuiQVDudrzagR=AbCK26-KX=n|SQ7x}DJ5w?Hioyv@`(JQ@~^m^7D2$~^*
z-PIZP@&BZ%%cois{Qu_U<!99e-}^&kE*nGpKjh6vhYNlT&4Az!Ad@5b8To!7PaG0q
z&&>h>PuDnH!2e+gf&&6xSfz@au@be)xEak$dNd$oB&xXCMV@u|WIBDHG-Rc|jh|x>
z`80axq$$ApVniUwJu0_Rp&`?#wqx)bzJ(+<#wzP}biuZL`HdPjVM-E*=8H*ZL$g8-
z?jNOVFuoSNGbmAHIuitvV+6rv=Gb1rv5FqDGt%PjbI!eIl<q0c`BbPp=QM?tn&F`h
zvlQ6-N)xqJtt6WrqL<#w*;6RYoa0Xn&!;#}(2d0LVkIGC+sbBE@!sM>GGL|FLNO<e
zP$Cal2}M68A~|NX%DVweDgNF&LBD<v9rKprU(5J)`6E;Jc5T{weHmj@Z{J?*UC@&o
zonpVU!y?+MKirv7uxa2nBd8|1(zV;cdArtdLu<WdH)_q6wXs@R4}unAVRu=r(1w|o
z6AZ)7XX30<;_A^<R<A(DbUVo$nZ*IIzl_W7Y^Ee3u{RILTfmvbvC0;yYVnz)S<NUu
zWxq7J_Kg_%5n@$eL!q*<s{bl(AluC<8_4jT(i>gMG%O}am_^?+W-|WL?EBo5S(hoX
z`WjT9$%=e<ypeLQ>OE+Dz!1syBp0Ir4@X%~@(qO@F7zZ1rNQtdPjZE#<WN4D;GZm}
zWedJ!L1O;ws{4{(;}V?DaFv&Q$%%6EzDm+Z>ess+HoEeDNqdExxEYd{u?YOR!p?6+
z@^~ZVB=2XkByZ5?uDr)t-A_RFz6?m-VDGW9Gj&<cMKIK9Ta#o7cTWD9)D2)y#x9}T
zV|LwrAD_<D;w0JbM|<J<M?yDOI{0+Vr*9uxoA}+S;A^u=vm3N4q1|e#Q%hoh@@1?s
z9wpv;Nk|sFCrir;K|-I!e1%IXhvactctF!={H7(3v^o`nF|LDFr|_#4Se?IuCWY1c
zQToNLPW~&$>XhW7r7iD?I-}fZ+uZkwYVh%7w25s|@7SK{DGAE8J;h|}6c}+w4I?hD
z55df;lk8`lRU}uGvei;zQR0iq-!3gjO8L>2#uwvK?DIR!T#hm0_HwedYdU@*BE#{s
ziPx9no@ZG`#rAB1n)fnQ!zoC(rmea0Z6o%$(GE1T^}i@=U7sPcxs|l5>FVcE=^L!8
zv&B{_>m4jYT$_GIG9`0@(F2s%DnAcCD3Q{pzO$+atzO%YXO0p%W5MvgLG3Si|592u
z<czS>asTH8_bo*oW5;N*qx64A!Bx52zDtD`<#0O<lRhKfs5wfn$P@>qymQ{h62NjY
zKq%&>K}YT`e_de+p;++tqQo$}K)OPylO-Kv|H-oscU~KAPstY}E$%d*y-tkMJ;j^j
zRH!^}G__pLjK8BaQThUMl*nX;EA%x0oJ4YYi00&QPI6c1>hOHZ6-v;J#PMXB$%<@9
zSEw4uBe_DA){QwiXq0;Qf?PWDOW1E&&QQuB%+enH;$|uTm1CAl3vF4g8X$#aF64b{
zV4M<%?~v~8bzni--#^Y!LC-b}(w<?E%I=Ysyjtm4e!~iv>p|CE#-VFC_;LAu{zteJ
zwL>Y@%Bfp)_N3kr*NjysvEHUsM}+aF9!+iWi(qlSGAy>;J`k7PalS|e4L3IvU*t7I
zxFlwu#1UC4zwU*cpa#?&CLT<Fd@9B?%a(Ss-Cob3P+2eI=ZYK1_A<%_GQ5oRMwcJW
z%Xnq3unPbNXO4mrCQ4sUwVLmq(x;OGe`G<+<y=L7%vq44qljDivw&Kr&@T0lXH~0t
zBvfAVz9qxa`xxOf=zZJfe*GM`-8O4AIs2{4&Dm{ISC0GtR*p@|QJBT4L>|1SQQI55
z_%t1bQX9&(r<5MPj(fjk$Ix}$n;zh^INxe27H(=e7cbz7vcy8*{oo8lcfp&dKO-3F
zi#vA;;y@pf{RPllTDa+ZL**JlPm1y7ON1Ln0aq;%s#IuE2?yqz;^iAZg1S=8odft*
zw?-3QVt)KJ(Ofk*w+)>uZ!g^qeS^dyluA|wYFpbaNX^;bNw0KKEZ){uFq25W6yz}3
z^gycN)a;^70~on#=jVOABl%hN32~J5mG>Yj&c~6ju3``eHoy&Fn6m*cBj0QyBr!ZV
z>Nb&_1utDH(WMzHEWW;b+YpopP`RQfxi7iCJI1pPU(uKJvU~{D>4KNfR3cYyNBadT
zRDPHq6}n#>`+r6r(ya{C?3W1_vfo2{KQ{{HoFSj!&=vPkGK6|~nHgfZQ{*r;(&9dI
z{rU1J-BXPDA{8pn7;{TFr)kh&HZz$-{&i_0b(P?GC{}V$EHj%Qq8$DT6%TQuaY^{|
z;rZ0iBuGb+ghIvON!N>-ibrz2C_^dcaE9xJLt79Jr1!${GCivtFZ@@b<E6MyB3$Y4
zvn|C*Y8ix`#YZ0Mpk?!z4Zb^$UJJU8#&q#tX}WObhCH+(A*$-!!miY>U08~6t_V&$
z=XXQE|0GW=G&6}~2vsIaU6(-?>K+``IWE+qa{}kw;o^;awGm%9;+&weV{ES8>(bRE
zwfG{EeJVv<NWx}9JBo15HSS?K6kn`@fHoZl+UT>XpQh7PwNK&>tg+b*+m}bl;(@$b
zVPv&C{WYBI&hKo&fpq>kJnoT?y>1In`=g*<qYF&vEt;F8yFhUG_2Fg^M7RS0w`#;M
zPmi(vbgPTsYu7H~%Yb$tDRVe<&h6CdL7Og%2~p*ONU>WsPpQ$@G&LTm2gztr7LfO<
ztg(G!k3g+upSN56)4SOo$HIxR@^O+KvM;*83fB?z!X$OFVXyZ#P~RM#yGdt)qh8x;
zBV{(~;#L8oyZ;QEbA5ccP{T)O0i7I<qosRMbLplfe#q-p=F6Jh?FQYN0|yzdWC6}Z
zDuR9NfcX4Dt7Vec(r1gQH>oPTQ;=3RC+baTP^GUjU!)4NgVcu*KskV@#cxX3-?IFT
zp0!~E@dl12-;L{c*paRcZ(gI;u<3ksG((rUtl_$bz;EI#TOi^#a7KsSbT7iC$mXnG
z6x5O=w%dhJ?Qitjomwn-0G21Xkh!jp9fzpq08atBen{+3k~*Q?YXmji=zv@YaT-_<
z+BLl-my$Y;0d_-|PCG_jYI7qxBB`8K1Hw7M_MtN&hJZMf9#SK-)#x@CejCp`{X!!!
z-szqS@P==d1k3m0o}%~>B6^5M6(q;sfFQQqHco7P_pYygXOhiz>`sjiauwesf+`#^
z-+{z~dKw<A;zUs=TwPhYaN)voXA_68_{%|eW2IrAUqQ}rrH>d7N^nw80=M$C!KjE|
zX<>Jkj@|g<Kz6R%tf!ixl%$!fR5KCw#D&YQ9W{9~PSkFpiP^|n$0%yxqqNgAY!Ncq
zuEoPMCch@`(s-5~3^)DAx>$4E4X1^Fkl%?GoeRnK@q?CY@}%Ww@WF3#@N%sc)GZ0^
zV%@>1nsqQ<j5nanAw=$Ty$;T}rQ4qP6;4tQJPYXw>aO2}3@F8Lm{djBTQ~C^wA<_0
z&l*OXXv?v2lK!*oih3)s&ed$3z2B<g1}fYILN_iw!^Um@JYCPkW`v5sn1p!YgFP1l
zAJxQB{9G6gp&^J%ge#~Z3OIC{ZgFCVjZ`}Qk|(3KX8eHdu}!+`3E8J9QT+B6X_k2t
z{ui=YN~UiBC=-9N7CP7BG9~^V^UW<d)N@MS3y_?hoen|V!rdu)Xb(3vg*Z#P{|uSV
z??YQV@@Ag1PLrRN#n02?pC|M0x%pNzz8lY@jSPHi3im2;A7PK}*Cm+4zaK{_^Wjco
zMWm3TQuzd*^%Rj07g#~!+v`Cq9uz$5(Ntobd)BCNR<+6t9X9I6oP&MT&>&Z&>ymGF
zu{}_u^`J*evd{Ly>(qi|LIyFFPM?zLmmoJ!_wR!uz_lPyEfB*H8eB9OYf~e6Z=B3!
eey{7-TfGL9Sg=7ik?m=a!k4;{?2z92^8W)^swxZs

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.profilers.utils.doctree b/docs/0.10.5/doctrees/dataprofiler.profilers.utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..7b242ec0036b576e240a58383f0868807ae062fa
GIT binary patch
literal 2328
zcmZ8jO>bN^6it)POeUF`BrRpr1gKC|D%u%TSO8mgM4bhqfRHN7^XwU$_}LHJFPSVV
z!J<+tc~|oT`4Q|neqYH<q$tnF_shrUUgxjgKjYy}^%IU<A*5bUDP!6&?qb+yCM$EU
zef$ug{vF@MFT&8$D`!fZ@fdbskqN1o<vPBOVUo<fRBqb%4;;_DG`e#aJ<%6~*HH{Z
z&r7fPt)0+&m3(8ffA?p;PI+7SZLA7Fg!`diP^9!xoP;6iY7~2+-;_2Fca_vU&dUW2
z2h@8j7p2FM(h>F~bE(`xrl@lO@!iujufO(LS==lZG`p~TnQY21@N|{7qBs%{#Ymir
zJ#iLZ&R#ig-R$MBzrXnI>sevVA8y8|r}$b*#qA6gx>;S>#>TX@aMPML>u{z|&UaC@
z_!OmzN2#=GFH-S2czb*scmm)l3KL(70~EAZ7bKo-hiE-T<IvG0o+aNqVUm?L5lTAx
zMlDj)81^0aUg{M@anjxL(i-i#W-;`Cp{fLbtxUwxJPcP{b4$Ik5epE)ou_$$#bKR>
zAoc~82hFmy3aha<8A-IKU8L)wE_)rry`?c;8_#cTp5F=MBr#p)WW6*tk3c34w_T9T
z<Vm>>As^NVSG+>VmGpwNmye8%L!*Xy7+GEz>xtr*T*dR<a3HAamc4Mo*AiTL>Py!e
z^+J#FMY%${$rZI4T*1O}ngbbnOEaDh72k!4)J5qD*O_6kieXs#<@0Z!JBjbp%}v6s
zHI@jf8H5C$Q>mGc;mDMJGYVvaC^4LE?QDe*zlBL1^rnE;^>lM%%QGCO130iGz>mU#
zVi+r`S0!C>(9N*k#UKdxEzgW)gz*C6KpF{U%tJpjdWkcF4#`M?u9E90`e8y#Z^#W4
zb|n-wW@TQGPIX|l0we@yHN}{ihocGswc4e-zkv$JOJ>MAPkK7$>%urrZhKY|$vnA~
zPS*N7B1}5EQ0X8|m4mh$#IrEMVI1^Nt7!(wG-f0<cr`#iPG3lZQIKqKy(t>QeIH_C
zc1!5<B()S|qgPO&lDYKp$DM!w>xD_d3j$g=S~06A8zp2xQGM!-@R{(waNo~nS65fl
z;@S(Nr^c>kj9<=R>1HuJNFG%w@F1S&xG0Z{*$4jo@mJq~*@<0dTWJz<ljgKd<Bh>A
zm)tL_G{WZ!DTbad&_c|Mc)lObAjq6_z1fvdT#*#=J{-Gi?dh5bxe^M$5bs@OlI}+?
zr|7ajOEk3uQTMBLy(G$Hw4wGa6BPY}i?5pvELRl5`=Tt6BE37+YtjsX_fU_?q+UV;
z?Nqpz=7cL3n|8-MUvP#-y+$s<xkt1InKJZ(@SI9T@D^HLJreK29@m%YMG5=$d_Y4&
zUQ#m&!F%GVU2)7COz0CNf?PZ%H>AMQ`|$=7Yy+*|7{G|O>=ymh7I>b34-!~^ix*<%
z!Y~2;x&T>kqIfZP;t~GN#K?v5?F*>9$C<=@O6d`?MpB=(c6FJzk=hQ$<HGWVQQe(Z
zrXOvAo%L`d;;_wHIo;cck9lc*8qg26V>LTF;Q&)0GiB=W7!EU|6o|zc@C*!oXz&j>
z{M+~wbc}xj&>48P9R^UHup0&&@L>m6S9U0Mrb>n$G^=!52Q1C2rnS=>S}vyl1Ix0d
A00000

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.reports.doctree b/docs/0.10.5/doctrees/dataprofiler.reports.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..cf3511e306346f7786db0d9eca06445fa57ac4f9
GIT binary patch
literal 4138
zcmc&%TaP3+74F%YzRjg)W;eSJ%uKcu6tNLI-BI8Hf<%ZC5HLyyLM{*~vfNefws)(_
zh3(qukpO|Bpl#&0n5TgF2a)m;DZd8sBY5X?UAvo|Y~IpROXcHZpL4!*^`F~+zkAfm
zfA&zPTqKJT4Z}o+Ogq~PWst=zG42!h;$Pe!-96h^^is=A1<ctNI07!BP_e{)=<L9=
z8xiSIdA_SzV1!KS<Gjr~y!)ZM$NRQzgo)V7mhHaHQmKq~o&_8`@34gz-E4g9axHMp
zE!#;c<Qm71ZJ*SN@@?BG^_$q8NF>ZnvMIH@)EFhEnSov2j%^WYuX8tusMa9jyPeRu
z`09mO+AO9tc&OOS^JKPb=-h8Pe#lSwK0oE#{LKDz{H|t7kKcU%gO`8!y>Y7K13eC@
zq4=7Kh^a9&)Z;?4wT+P~j2<ZsTb{kRkxltt0d|AdQAM!bH)WVb&@#v9PP1;Hc^P`W
zROmI~&wA_mU6{<D1E}A|{{{TNga3;#hkrLW<Gf(!_n|-s3iRPv8K*K!!W9P<zT+)m
zAOoY=s`JXd>jd!=`^+jFmDO+ne5gbL`@TqmC<~cKEcZw+ri+lJhP#U$xQeEEG{Ld+
zNKW0-cDM*b1mDsglt*hqFUjI5Q!I2BExVh?nwCj)1>Rl6a3j@Y@H#)sZSMiPpKJnV
z4@+~;FBMHwrX1bG@W(i}f*~;HuU0NAk$GcdeLYfq!rwxQOzg>%5F5>*1lR7bZeqXn
zM20*CvCsIgeWs;cG5(v29sbUQzq{n`E&2OP{@aTd|J{;*P=r8b{yxkIHqGbc>zLcO
z9YfWeHKn48-a7c~Nu0;-`IEE;rW>(o+d|`jd+Z(b2jrM~YL3kqHJM^$s%R4MwKN--
zX*MQAB*G9fO0Qn=If>v)=0iCfK2a;=!&c>6IJE_(l8`O_KPj$r=W2Z4vpXpj%GuKb
zh#y@e^CRAw7)QO`f2)LlgZAh3ppR-x^Uzzd-QN8bN+X@K;Y_OGoFz<A<Ke7oT2-Z<
z%GXq{f5GB^e*Nn8={E>W<(q8Enjr5MzST`Y+ZEDE-QC6UvVBx_clDYQ!qsaU(#AF0
zE9D#g<NA7E_eOr-N7t4e1ex+(l+-<QzoHbq)Alqo-lrG`j_dwDQ!+6O&B1owqfv%p
zT@48QaANyqBuIrC)kj`2ZD^cgu~&#8xcecNyX7)d5mpB%v&8pWzYB3~U!$*_y*ZQ8
zB+?+S>&=TTd*Fu)6nU~h@Wl?4flua?pmX_|MdQkog2Ez}Q^=(-oKzhj63YYS2r#kx
z1;iv`k67d`ZrEK;BU3Hg_LwbDJ7A5;bVF^2Y?{p>Zg5Fe0<6HH7>z;c8$|==^>&Z#
zKqP5q2ulJPg3H-{W@hI<IM)K-r|X-9DJ2!*Gzl?10B5giV4OXanOVQ3o!{c@*~ZSs
z75v|JP+Zz5P#ry8-`F^5kGugID4~_45e#znAfm}UL+S(W5bGQ0!uFP8fm9(u%SLcO
zjPL6c+X-YcgN=Ygge1i%B^Hi%?0{xQl7?h&2t?FDn8hinqYkL%1c884361=PhdBk%
zCffVHA*GsSp(Kmg$I}s8q*61~`{raGB7q@~gcc@`&qERlO{bAJq|~xoWdpx&_hF1i
z{G+a6jz!3nY^0u1?)WbV!TjfW;9h?l`j*|poKY_kpT|C>5H`siQ5cC>828K8fBxIH
zgOsHNuwYzCf*i7aPnl9^?{mWrxiP7JWjwyTyhP(NTqYx_=Hrk(8iP}hoxSZ(<f`BV
zF)W6o3>?z~{rrWOz7J#vY8GsW@svi)X(h%;i78$%Gt0$r6GsryH*|^=3jH|Nvu6m%
znAEvht50<5BV=ih^i^W$f^aeC5&j6?ok;q)-`6o!hWtK5QfmNpD_<8&63Kv;<KJ1p
z(RBj2uShnaoI{Ay53>{^{EH(W?aCs6IS>?)%n$=rRk-QvgwCexd`Aq^VTeS%f-KH3
zw=C`LAd>VUVKEgE!7E6y{AKXiZnNZ(e@56|Q6G?y2ro<m0s(JGG5F*I>oEi&TnuI~
zgaRg6|JtxO*QmwA0%Y7as}~)g7I>3@-u1-d`yT(2f5AWJpJlf1spcvLVt$(ca>75K
zWc)e*{RJAyXBa>~;(yBQ!KzF0`wjwuisco8jDq4bui`5dU!@d$coD&c@l-~&mvh!<
zHi$KMf9=M8B{e^EbM1aqP-T3{zP))@xr31%bs@k51kQJMFOX3Ls9^&dL-+NP{t1xy
z*u9O&#&m*Q!Rt+<BozYd@~}$A%VwajG}5D@Hl3?{oAQ5bOzL;+Yd;6<%D1Iq;p^e^
zUopx)KNNb1euXKh%;<0gHLI6vho3xnW2@Ersy^+T^QYi@?J0b=U3RK1yW>Lx8TO0G
y&))LwqIje8W%&rc*utF;UM=pkdo?(DDDRbzC*<DTKZJKfU&qUm=Vyy-I{F`$r9{#I

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.reports.graphs.doctree b/docs/0.10.5/doctrees/dataprofiler.reports.graphs.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..f03ab3750a8d05346b0ac9b856a68234923789cf
GIT binary patch
literal 3176
zcmd5;TW=dh6i$=aiF0w1miDDdNvSGQ(bx$30HqQ_eLy1Mhl)}OsTz%U$DSd(Gs|2O
zN2n4!RBEMp>+pB@FZ>AJ`DS;$wj;GjynrQ3J7><!Ip>@2Tz+l+{(Nhx{P`VIa3Lo>
znx;~v%mlxls>J0?+VCda`z^c(N4}%!xlv9hEchj8BwS>vW->evz8lr8$V{(3zh+os
zg_6y2-r{Y(_B<T%j&E6EGd8#7+h1#1a1){i6jr}ylW4h-zYL`hxa68|7Zg@);CsG9
z8aMfhZ`a-p{Awm73j;T#euG-8#n4$q6{A=Ysfix1B^fmaLVUL*&8x5V)D^SEkS3>^
zjiQe8YnG1VR^U7QCg0-we1#wQZ~IRT)29F3vmZbC{L_A+)la6MQcLkQ5*gEdcxd{S
zXA2uW%?hQh>5a?Kd)gqRTPMqI$d`Oe$dpay5URlA?;`|$8yMZe|1SO?;(srO14Oha
zgE;c51r<8@JGn|-#=bb5_vez?;6JFej^Cxk+XEY@;~(+kx!BMDG4>Io)@eqDn#zPP
zgx{~j@7LiM7Y`#+2ttkz)##l*1Ewp0spC7K0xd6?gUUa6tfZwvn!}NkB@6MT^x>FE
zrm2kv$}^>n!^)3dMZFvU^6-qGj{(qE6*&g{R;1utA1&hfB{=k-;y8UzH)M^YNBog*
zSML(olxmHHPDvO2-@y5mDqMcQqVL-SZZeeLk7uv=ZsK&zWzuBs)>KkuuwOUK#ur0L
z+G}deNaKN-Oi>?xpqT^fr$vhI41A}4XQcxcpfxj=<^>j;l^KG&PqEynmriF`ZCjO)
znDKEJ=2|hME`q;0Qp!qY!Qy7~<ci;p1x~u0OhBzXK+=umEl8sBST_x>yje+D#!3k}
z7nYN0-GRmWKwXFieyidl$=Dgo!pXAV;54(-Wy|lei2zm>No8izR?3EM40GLcswJ?3
zhGsN}q+>NrSoAx*@?9YdX9<&uN}&~e$Jx>GXU9h1dw+40Fs+p)oXQk63^+$u6C3=F
za(3~SR(VVC2bXp(UBQ3x-Rjbr1Jk4XiyN0t`rR0S0ZJVBWC$qu?TpH?qhkiRQ>>TK
zhWs_n5~Wj;vI69QnOF}8zMUvJLX3bzq@+MW7n8u-zDu1|WG3><0*u;DU0#rebwITg
z2oO$7n#BuuN(rEqCcgblR2b$`MJ9RV(=MA7$}lp2vZP32$(b<1mi*iysW5by#XxE=
z*QVLP@B1wTW59n@E%Z`QrdA`dx0Jo>M*M;ibfKt&=Z&|ec<)X0>t+dl?!}Y>ZR8j%
z%tS71_-5(PzgoUquz~;<hEz;S$hM+nNa20V4S&e3EzHAy|NQ*CS6o=GWKZdFKV@fq
zXqtZT*W-!O6`UZJ<#;HIhgpaG`0mFKfNWQfl1pZyWM*c6YQ`#sNkT9?D$Q`4XE4#R
zbchs6Ee|K_{s4r`Nt2t6`@|HHA+P<exj+|~5H7|%!yn{b%~a(5mdUBM<Y$MZHUR2c
zxvrKZQwgo1JxDm(OM-{5k_{-A5aRTyD_|l{J>@7<7lGGck4l6bfdkX3a5dHm<A#fR
zyDT5F6p4BPTbwbA+pZ^>qNjxARAdB`m}cdC^2)C;c@~Emzh2b`BqZpC2|<AHmRPFC
z4D|+6z#a^NE*7I0sF23d<pnC(g0vcMAjWN@X3>smfyoH+wJ5B<`BVPH_)ZkqivnQ1
z2>j{5@Y`_=d4eJ65t?wja$r`2>q)O^C;SneHj!!Tz<^^gcZ6555B%}}>4DB~&r_<z
zV>=P3xDilbR7qmxnCex)&r2#jJO?P44^`H%v{ZfXlCaV4EZo?cS}hM<UAP||K-<`I
zu3x^Z-dXY+sB4LGv1$dsnW!uSRS*Lj+uGw={szzaGCV<MVvItrV+J-Tsg=Q|ye)_~
e8*xd(O(B!arKl=u9Qn7A#tK{)t2h<7VefC(NaH#H

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.reports.utils.doctree b/docs/0.10.5/doctrees/dataprofiler.reports.utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..58874adac252a49b48f615b63a154e722fb28abe
GIT binary patch
literal 13824
zcmd5@ZHOIL8Q$;DWOtLa`=gtUH)`z-W_MdZXuF2C8Z6k@MT%80hRNKSxqD_Zcjk6J
zvb)gK#9C<ZsML(ws;we^U_sj->YqxL3Vwm$ACdl0Xh8(~LlBBs6nx%uX6Bxmd++Ss
zq|hwv?#!9<@t)^A?|a_!&N~;!zw-L~hr|z`58KT4wpVr2^nB9_6Fz17M%=QzD7lgx
zyOdl=>U=uTw?aP-3@hP7s9`YMH3Q2_&Ln(}sz<gPuBPoLL(7P4-^-h`aW=sw&m?s=
z&Br4<axLW%AAgV<CsYB?$3AXt)4*BrV~LOeT^!;QZ5?Aq2|K{2wOmLx$|q9UHu#up
zdsea$H*`LuM^Rum;s|r1IgHw7Nb*h^t{#Rc#PztRx8&878Miw(4c#~wSWT)E^T|lx
zq(=#xXG?4!JIqGeGC#HUU}y#5+WnvW)O+rH?^-+Xop8<6BOO;w+qHr<NEoh3$qElv
z1FP)^QMf8m3qs83$f=RI!G`#_?U~lL0*^$Fy$v&9M}g2g@Ov|UZ^7>|nhgL6Y%zyA
zA8YG&knp#+d^2{f57bm~ilZj{sI0V7QHM=zM2Q}=ce52`;_<E%Z(4d32bR_dbkAUg
zxv!;jUz2lh@2nF_n1Q!h^P5!y1EOI-G|i{M0(~>k+f0Fp-+j{eBHi}FS~K<p{cz<6
zHG^5kIqIEm@Ho<4S0{F2v8=WQv^@jxtxEnaUVA?s!kz?ZACzp_U`L3PeV36iz8j=^
z3$e{s7#Ocgt<Ti9uhd2IO@x3Ms?ASq>4B%U?2rmHNwfN~THW?)@}^>$k0pGyKO<Lr
z^qll$sRSGfH3pMrC`8FD(Gctwo@k*B-6pmwb@*L9#;FU+X~eGe8W?*#os34NL6jV;
zt=v`H@L_+Xu^Zz1#1Ldz$$Vtil#TPHiaBOXtgO>v*#s8O?a#70pT!hc+Ay3X1K&>~
z2@5Fht%5O`-fp?;VOu9NKZPbRaObUr$mw8|W@`B^za<8s_u7+MVU?!^&}Ebl^;pIX
z-JZ{is9vf<b&61xkWSIy-Dt9h*#&~`GacyIBf<_q;DbV7vSckQvI5t}CZO=+=&oeT
zIVNeG_oVhRU+N`qBS=8h7vxo&%ygP$NU23dfWFlqAU^CRy2>p=;%Ol9lvuAD#Pmsk
zHd*UfSY%a>;q`2ITop%szG~EV_ozQkM_uH@wNh74sa>&WGPB1=q2F?R=rC;(WXQJR
z5GW$18}p*9TomzlYQO!hKHMs+Y5FZ}TL~X&?_f7aLA29``i%=6O+=MQ4>qkRkt1RM
z+gX=(G~qY(w<Dy%JL|HS4MP7nz~NV2o6xiUR>|sX_A_FC4IN&=az2^kwjkx|n8cKE
z9b{*f8rcdL%8Ee#vjWK8lD`Ilp34QQpwa&-x_+Sx6e1CI-GfB0sU7ts(Qh+(DmddD
z8Xg)_dm4;3?9Uy}u$QaZ!v4~O63#rv9gr0OU|?44UhxS)nr<l_yC`?ez`~B~g^ITE
zv3z4?-Ehi>1?o6=T{E71)NeRN4U_|^D%cy;^<JPVZhNXi&K)FV83qNqGdel^IJ>}9
zCVYnW9LR*@RZ`rzCk8PH>}58=r<$?rip`2WN>;&S%Y^=^VThp<|Ac*(%V5BzR*!+1
zLs)0`WQ^vwKOoksrq^h*B}dzC;%3u6Z+SJbndDBNZ-w41QO(-MW|#ZhckZqIs~4Zj
zd&t+@aRiJG8+gfS=Hzc*SFQ}Lfn%j}z%oqpnWk;IrdIL}QY(V9w0Nv&N#@+<Ez2I!
z%*Qg1BRz00a<wQ&6df%&kM0Fd=aO85N9doV6wFFz4h`Sj>5>$WXB*(774@DY1q`NX
z_L?18t?uR>8s66NTWWRe-tfg&Y8!B_=u{aoOHz^OnH>+)tqJD<7o7*XtD%|iZ7QR1
z)%6ka3Bc7EsOU^M-yaw*K1;EMwq@8&+ejW)&55I<my(%wzAK^qHvWk%XrxvzjZKf#
z&7;dk4)KL-npUgL^w2I?*N(%}%b#(6S?a$3-UP*RUX<d#AjIuowcGn4Sgh@~Ya4cy
zT<*8AIWM7O=O_5{xbsuGB*>hf;ZNq~I5|?o$94m1k&oA2y?CYM8HyeXfG+aoYC7e*
zvs*=IR(ZJ;i(iWGNJF*cJdNpf?b6DILb!heb<p{fqN?*v{L8F#YB3abQQWYOzR1EF
z84c)+9>JuCwe%b>)y4Uq(km}GZmE70%5qGEJ^2sGCxU0Yg+uzTZl(&ai#fs@>sAGN
zq>fTn1?Ly)6m}v0+(@yr{%lr=KZ{0HYo!w3`4glO_Fw?wFQDVT(2#%c<hXPZzYCT=
z#P3n>a3wGDHRjdzQt8yC*`4<P66;)zdV%(pT{>SSZY()h2I%z(S(Uc4DzBH8{b5;k
zXMkR}WYuhwXUkF(s--qWBk7&VtrbC!Vw1Y$5u7_2`z*VM=^<0rnuH4}4w=qb5DMXb
zgfEo)Nza!-=*wh$G_hb5_D*HJy67M~&2JB^hhiIHVM(VwL<EoZKjk8-t#(=&3_M#j
zhjnIU1>7liQzsJ`uGc;a*W)zYf-@qtcalQK4c9t-x<a0N&m6A^Z?4{pu)TN_axNdc
zGR~J;)yg`#1_~>Cq0(g4*%sR_oE@^$JR*F~PTrP(?yU*(71sgpMJT>^F~@4I{G47I
zE%I`45fPrxs@J|#XPkYZCn5;kDTp|qr*4EiU(V%OC=*4-G?a))&kA)VOpv~UN*6l4
zD^B1$l@nk+10l{cXawvAiG?`NR}auL9Fh&t9T5>vR6DQCb~;z7R1bO_=BY}_ZToe#
zfQloeZmt!<kufod>UsA*$iLKu;%T|WnD*(CkS|vY*&D@lfNmIsXHw+B->V1MI|^cq
zs{uh;F^YzrDS_}twTx9D6t}cWT9>LSGtbN!f|JhI#p3n%9<sWKMD<j3=T7Xrxvt;)
zrrQ7R1)s|LFCltlbWk63K<;-2+I{J7!r(<K(x3mgRSVjC>Gv|g-PbTcH{OS<cJb00
z++RJi!oLC6pnCADS(pAQdA3^k0oP^ZcrCMhbXl}a-ZczyZ7cI|^~l%v%6zF>_^OrJ
z)dHrm<(`JE)7Xh%BV~};ISp&)d>VfW-jH(^C6zClD6Z@@sPPxc;L4zK>Mn_x=J|9_
zh#QWHYMDiqQ3*AeeBVjR){qh8(26K_Cl3puj2ef?;HZT=;c8ae4s4`#M1C!ZJrR7)
z4nTQ)`OWMy=e+YAE!>jxqw4ij$VaG9!1;P{tHruJn~Dzue^0h3{6ilR0n?qD>DN3z
zIxa%_HN6%i836yXD8KHRX$``jLaZ}g*uNQFbufRCq+N1;o(i3vNBeK@Ddx@#)Z)mg
zQ8ez%*xBx4qI03EsP24LDJ#UvQ-{5O`23H15i|>*|A87UXUc=E*ZHy{Kvx{^!{T^R
ztGmiUb)`mk9o-S}ypWVc<U*y1P^ub9SG*Y88{k;-w}B_92CaUGR(Z5Gi|4(9La?w`
zJdYj~4ilyQq8QIZ{vV~&$z!3s$r&V$$8VIntE5jB%Ko<yuYXl_)0Z#u2MlHZ7ajKn
zM?~}_GQ~;a<dM#>>kM*etcX^BnV}uo^iuRIf!!rg`p&Bv_b3_-94MVf<v|0b??T<H
zfVIC1b>eEKmy^0H7~93^KEc=?^={p>a_9W#dv6PqS(c&WJCt)#rM+Ep{<@2{5cAUT
zDw(@-EVGm~l!aG+KR~Z(cr~-~*%nbLvLnN*PUfWK*0)EHRdBFRkkv8a<v3KsvFK`>
zuA2GPCa!u1R6Eku*$F-_5@Qj+O<x3M1$vh8ODNCaW&Nl$itM<|9qzB_d3H2APHl(z
zoDm0<N3G>q)BCa#nLW*?;Cw}RS&C%v19^6L6K_Y64qzsH;uE?XBjq?xSexJA)0>uu
zx2TaHB)GxR%0jAbtBspkISk(LdgpLElitRGi@W`iZ)lWlO;0i0IHfZq5$a&m_anF;
zNFvT3o*L%+DYe{-TiQ0#d0Poe<`AB>+nV9GC}TZDmrJt5axGD!ZP^jivYc;>m^Mh0
zz&H3lnUbuz)_KcKPL1#xrn`6{EpNy90VFH{s|Z=5VW)K5v>NdyhMP-0B6@vn=`EB@
zM*%V@Np8H`owL1m9BIfh_9=@D=_GN~T)AUKBy=1uKGdur@B@v(w?h6na3)a=B!12N
zaa8ODG(j&3UoJf<b>aK~EaY>t-;NAf>%+wdrN(@L<`4oX28djd6}sQmz0FwPw1BvY
zG_?_Y1Hcajmf;7crY2MahY945G?BLgL~K(-I%(71Mu48r>2c(1ogzMBgH-#?xYgEj
z;sIDuV1sjkr{e>G4L&bQfUXzP@^^~bp%t6HhU`_;TELq$KeRNprC^B>Y3J?GmK2@W
zOgp4#J|>b%IhiR0JI?oEG9gqzCMJS4X*G>f`^BdNi*$uS;1*LlIaZi@GqL2e_*f#p
z1w{{#R)IO*CWz?TEjvo?8+zsSaX#0!+8Vv{hBg}L6<nl}h7RdTJ$Q{pQ9E2;Tie>&
zT5az{%=cFPU=x|^=hsj(Tub<k)Ix}Y78<f7uuzdm-?iE+H{bd`AUhW{jnXhw(i!G(
zHcaIE_>9B0qNW&zMJ*RYOh<YHT4Y8nIW@(X!O51Et7k60Ci8|b^M!B+nfTipvp1QG
zU+{O#rNj!pFKp>Sq&*ZvuR{QJNZiX?&GijEg?8CsNK-Me@KWD^vVah+&&6$I2GA!b
z;yaSm4qOI%e8cvd;6P>=4w9(|<3_RGg4JqRCUkWNV=)U^m6!RAhU@F+Gz)o{u7+f7
z<UP~pA&>J>%R5islJF^MBA}C?7haCxEf&Zm(=r7a4qzbAC4%t=6-@ea<N}OXp;Wl)
zRE*x5`OO5W1wKqc`6Ly}Yv&T}9*^Kp$fv28-p^4b@n9olNAW#~c#aoyCy*sGk>-fz
zCOQ4&rjx{ZLY(r|%@rS;gg8hikJE<y4~%u)e1LF<HAP@T1TSK~UuBzsYCkeWglZD6
zWeFLTte#vGwM5p#_cCB-tKqvjfko9DN`-mt=|Ydw*{Gt?!9xGoAA*QBq#Mh9rB8<V
z3{0Nk$7IkFK5O{Mdy*fjVChe$<yWxAk0lR4X_3(lGl18SA*`(&Ft>b#;@P}d@N?Go
a3^z7maQsdB#A(JP<DA+t@)_dB>i+>q<(z>4

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.rng_utils.doctree b/docs/0.10.5/doctrees/dataprofiler.rng_utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..05203d91f6fcbf4a4da084b8e5e4e1067ca6305d
GIT binary patch
literal 5252
zcmd5=OK)6B751y!Za?E>5*CR=M`(mC;%+ps029H4Oo$-RpfCdxQdCoYZ*|v=?~AIs
zc6$*R5F^D>t(eOeu|WI;{slrp`~jA*9yD9NQ`Pr&w<qn%Vqmajsq56^ochjp9(CVq
z{O;_v1@~unbS|TG)Zt;6W}(ofT?@0INJMJN56XjImCwt4+fw{gXN3wxX&0~}kWm~e
zk(N(OyG_eY6zk4-|Ed;&iL$ibE*r8bSD%*qvSk}4GO?JNvaKiSu>B4lP|_l-S$SKG
zNcr^C`=zr4M_secoI|%M<*se9+E}@4n`0Y$b|sEdQTB>Hx9i*(74-{)yU|^iqfnFG
zt3k}Qh7i9SDNp>bwXn!1gFX+Al^D>P!mb)Vq^VNw$eVIg-jd65&pztDqlMDlAN=%Z
zZ+!hL-CSkQbT{ON<JTaHh3djW-Sw8uOmtK_WF9%CahuzZmx{hzu#G4U#b^p5kDmNI
zte1Cy&=>IkI{v?i{{y-Sz)+F1f8Va;JW{2-on&DVi*K~2O_^vc?Vew7IA>lqd#2=t
z{E|GJx@_`^mmLUh3ME)y@idS#_w7#Zo1YyKDzF;9&j$011SE@qq-9(1I3FsW%PCmw
zqX!DwM4PvvEX<O2S|oj;+Cz~F#Z9K#g(d~Oo$$2aaa#)!w%@w{_Wd6{`QdlI`~8Pc
z*pDARe5>PmcjMDLZ$j1w0PntMN>AP<KF)O`Vf`%->NCK&@-VRO_=vAUcCNLvq-zq+
z2y6T1P#EUD!MrzE?T!6|_I{MMJ@4kY{GhaNyquApOHM9d&erq)DO)c$kbIBWUO|Qp
zrZ`+B#s#EN%rG4x#ZUlEt+C&}<mv$R@S8;Z{H)_~?@SQyJgOqWQG6c;Y&tcR>?xB~
z30^kr=jOm(1;^a^3E7+AQ8J(G`*s7@JIs;0Nw?i1Q(O{uV=<G{TB9UB(mAJ!vxY6m
zu_vOW7&(TP;W+vJA9}du0KSOs%}ZQZA$;kYS(JZ$8Om#fvWIw$jQKda^11v4LHXVU
zO8HBdp1_c+?gEr>6JdmkBh;oTo-FMjc!TGaqw4VAzU**MKP5o%R8Jp!=hY}o49-Ow
zBHgeND)ZD4<0^T>zQR$nX#QzFnzNjQLX;UErKMfU&ro<FFlRX^+HgEZ$3haW;O+8N
z>_A~VJMsy!v^QQJfyDo_BY%F6y!J-``-jUaN#%jxf6N17lFy%V>Lbt&fi0z7C(dO3
zXXxC@*+6W5l6msavT4@_MI1Y#$={HTLhccx9xuX#KEdm<pZ9){rDnRjtZU7iRqgro
zDzWP*|0|XK@3`6DUX3^e2r9c|V?h4u0lB;t_)CSHM-t^@%6ZOnj)DL__1*Rbw~dJ^
z|7lm@SI1KMFZA|E2-RRU&3vnQP8PoFE<=s2vvfw`zPtx&r^7?nu7V-s7SsvbUdXF{
zlnz^m^~)X|dDnNg^RHX??eZ?|U9{Ulp{T=Wbw9sZNqk>#*R(JONdV84-TM78P>xw)
zX`4Ucae;=o&RaV@+o~Ip5(C7V(1s^D1{+=t!`a6eu8)U>iZR+US-|KWK(kQSpk^Df
ze|3;$Cd~|5-FouzqTQm$4{{kB4KkIKkZe<%o3kKG=uM?@<V`OTv2YT08X3u|*9bI@
zH;kVrJ-ewyo+-m(aU$aK@seGaJg$cgyDLT!urg>IbhW5q8=>eIL#W$6<tn9wiE{-{
zAZZze!b*0RFYI=d=7nJ*4Khlr$YF&U9DeQ4<%L_blT0X;DJIcw<7ES!$yB5ayOR}W
z_LPP@1@DXtGZ&6{wzs%|=Et8qv7y?1Yj)zoW_yM1paGNwM6qiYwql+R3qBM;JVa(*
z!YkEYQzFPz$U;HI18V5C)U!>bq5;w$5Q##DE@Kdl&`a8FUYLwcM0P0xskTCNS*#`=
zfOUch*-WJz&)1&aaT1`LYI6TXlxtCh8ADTpRae9)&$M9EI~_{`!%iX{;pIYSu`trS
zAJav~R<2e7A@ABvTt*`VxO-}YHRENB9-Zz{dxL&K30fyw0}s<_AzZ$J=X^Z`MRzHx
zz?^glBF0e?neuxJ|M+*qZs#IrfJGo00|yzZZw|)8dI}HQmd51zsM|d~J?-RYMrLUz
zQ^Rg3PP$mByQRHOJDe%l!Hh`YDC4?1ksrSP<*x$SZ8Zoks3FNj&8<p}$ufLsh=dt9
zHPR$8RJ085BZ@*J%g1YW51dR`9iFxM%(s*0_KH4B4IeQX4P}gf@OLH7i29p4;Rv*!
z7l>;Opsu;GAF?<L_!!!~K%zei;CLTzK-ocv-N!{<p1Y4C?n}ow51fNNSrDZIaG**I
zS1DEKqCdOtiohE-M68}cmlS9u&h7Oe&iFACXgy+v-W}~QeYkjGmqmI)UpefWPZ5Yo
z&<jaD0^tqworojDE);<-2Dutk2<e-~b0o1DDb;T$#%Y6k(4?@yClf4RC87T<KawA6
z+adv#6PlJE^|ZW0A1OXW5xIwFdvn|h)oFPAA!yQt+;d&XOqbP&G+K`G1xmrQcaa=E
z^C$6BIV|kfG@l$8TS0`3OK1WhFQK$it@Ef)OZ+-~uL1v(eiqjhbxU8nAgounW=?EX
zTHU6rGv}iMC_^RZ`o*)xGYfVdNiE0<N?E1d2(mZ^PjCkmw$%q?`3Laj`{fgaB_06?
qbdW+LpL&ILZkrKr)MCfLjVKM`B1B5bhV*%DJ*4zI&Q!kn>HG&8-tCtF

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.settings.doctree b/docs/0.10.5/doctrees/dataprofiler.settings.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..51f42c35ef6726c556068b9028d97397ad028ea6
GIT binary patch
literal 3098
zcmc&$O>Y}T7*3Pei4(_8TG~sKk_swP(bxz$K&gaKB@RURP$)=9)o8ps_6*sbS>_{g
zget+IQY+1^!{6b*@FTeM%&vE1M^tbEOO|%tnR!2+dESp-TEF$XE9KAkO~Hkn4QQH5
zl`<3jW~vgGGik%?aR1lvJRJFsrsqaEov`3na3bL%OEr_>S@6Ah+=|Q$=Jz)YORP|`
zxz1a>%{QKfBi`{XD{RIVw*2Nd%vvF*Cd4y1vi>cbMcWHIFGA@D6y5Ocg2J*5e9w1C
z<0@bC?YV~|zn%%n!pM!O-=fxPF?JS_#YomfYNFR0Nk)x<5Z^6H^Xh9eb;adkOp{a1
zCh?5(8<tMvR^WYpn|Jv>U*iY<%i&YQv>AT={SP00`q8k^>PIt7sipXuh>YnWJT$|~
zv!#uJnTI{l2Ep7pS#@K+;#)$dY_@<;1s#7I&hxv#=N<g-;r|}~_hTTyLW|P<Bfnly
zp@TojRq8VK+2NumjltmetNr7@-{$R+4b<`X`SC)er~eq~gi-4>BV$cv!k2;_Ho+Db
z4<jOQSxyht<P9DIj%$FU<2!h4I@Pq`3y}DCA1gT#Qy4p}6(3HNURGAo>DIqIe95rK
z2>Ofac}M(CB+(nej~IOp7X0Vf)bHZPta0v$Kk}P39D&tDS&-41G|}%Z=vb@5<PR$P
zy*bb(xA=p2_nPk|PRA@HP0n>|NtJsGX8m4MAtqW$%VZjS`#YLBu(mESyg%}tDU(c7
zt8~Bu<YdOuyuf0+GDD#I6w9so(&-GV9jg)&b2aXwezjsoTm*l8qLh`&f|1SU$u++d
z%ae3DnSnBSfTS1cSdc{JvFaJ9yj@9H#!3k}7nYN{V!-13!n}lxd{?tVX-hJ8#<Fm-
z>bE$}nq|xHv6%o?771eNLoMG*+1O2Cu6ItgL_*+%W;BPSV>L}!^gF!tJs}Hc36qIR
zaVq$Zvy<abj*Y<g{_-YaS}RRBl_{zZaE`7fHu%1Bc3DfS)PibpW#@_t{<H5@N-rI#
zukJ5zT)F9YV*myyap037px}2hDyNQ48Q@N_UPTk}H#AF>PD#oNkOO97JsbIUQl@!?
zL!_iYDHgN9+rCGgRpe6SR|Ocgle)YhO#%SbQXoJ$Eol}N_Dcz%l_tLZrKm8>rHah*
z$fsR4E0kem@n%Vp#F8^%M8(fONrj=~ECv#b5iV}j*}xz8E`l*=Yqacypv?RjiCv-W
zI=A8%jG%wSGkD&pEya6pquVx1@N+Mw6lf!-U|}Y5VZ&D|fBf0<y@C}4urQ=zQbN{^
zk}-w%F*p1nx3(}3hr{#p^FeW8xsn5=r^A$;4RO*8gTEPXl&;_gu`I_!Sv<@p<j40u
z_!!9c^dz}rCQ2^N?AK<jQkVk-vy;*cw|NE=9ZSbZq15tlvgr>%$ec8}*|<+k5gGEz
z@0tr~>5OnO<r)4U?|P;p@4F_a$g-atlG*^M8|AuMl1wFZ4(&n0(KZr1e3fiKxr7k6
zPh9~Mab_t8k$Dk#1@@>!$O$-5SB2}bP8c^{KDW#AF-wuC7qG<{v(R=k$rL>$ET<wP
zn4>f+CySSUjmfh(hWO2@J|H1MFLZbT!dqggo-))Mbn!hH0$nTyDNrGeL&tMeuqA0V
zm_Q6|lV;J5X@Qvr@{K60zWG!B#Q07W*oy*SJrDfp$nd*yjCg|a<q?`|yK>;N2G8fT
zrls&lv~DAH>%f3wFg=8qu@C(I|MouTcNS?>Vz844RM`k3aH%A*TGZz%uoorOIXnSq
zmycD}Fta@R))irMy0fIQQ(G-BU0>3Vs;_NqGdHj5n(wUmE!46^xmc-!-%eDPfgXqf
z&1~cGT>ctQ_#!+(Hew_~eq&-aD5I6Zrlc*2w;ORuylo+q%%!L#Y8pAWmBy+&FHmt3
HaO1&Wub0Kj

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.validators.base_validators.doctree b/docs/0.10.5/doctrees/dataprofiler.validators.base_validators.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..98f0fa722113e8d30f5ad369ff55824f0f7b4eda
GIT binary patch
literal 26522
zcmdsA3ydVkS-!n}zi#i&_C|Q`E^Q;{=9JrAKOn$jJATBDl7o$%m^i_l#yvAV+g;Z?
zJ(=#=+XWxk!U=ayK>!a*9AiQ(kRk*m5C{qmLdc2|BLN~rLJ>j<aUev52unC95)piV
zRdscBPj}CZbH-~<y1VJ_di?eMkNWGc>c1bJ{Iw5k9T0!`QrLFA*6y0!XtaWc6ZZH_
zBdB+`omSL)ym#u6-i2O;&vxwdVbJZ=ogP1c5_Q+}8y%<BJKN)jsCeZ0;hL&H9Xj>M
z3tGCmJLyij(`S1Xca~2^UgSH*BffNp9Xi%KZQpCyQP2r{R1_sA?sImDg#H5W?Fp*T
z>=k^fZG(=e=N{p+RZX}%&ZiW;n|#9eT261XTeJC`9Yr0l){QVu8rQhj2x$z{b>9v{
z+{Ew6mc1>1%{030<f3NR&vl$8mFe>7$ljtyJ$K1naTnZU?znrLzia&`LZ=h1|M>ks
zdE<}VwBGInEL_K^Z2W3^zSCI;h2grSEcIY*M~{E420W_9btlB|PMkT|t+@yIq}OUV
zy9Ry|TKBaWj(ZJ&`+oer4u4PL?<pD@(CK($KovgGw!Kb|uWtv9uJ8P)WztqcLXWS>
z8mq%raHlq-p51j{@2(p7d|)6xO~;P99j99B*sZ#of@nQ~WIYQ}dvAk~#XwtIR?r-J
zT!3{9u+H*Xh>^Y3vD>ZzEx-4UF67+8*d5<$1|89E=tNd+&+-}o)@$xjkM+Q}qP@0b
z*?xe_^IqgyUKCm#Cv1~0>^K&+za6eg;a+|@T28d$PC$OU6v<8Z1POkjco2u)2+7@-
zoQWj|99olxD7GYp<4KGAR0!_C+VI=Gu<Es{5UMSwa>}ZBEn+HEU|2~x)#En}Df??i
zU%gyCkW7IxPr%;R4S|cz<N+8}JgJ5rj11|6QHKAJ(SBuj!-CXX4_RI-!oN*Fu%pwE
z$5zwZ+OQg4JvwEr-fGo?z!#!dL9Yv<ZL;@dz+xNkPV&mIBaEeZ_zH<|PJyd_v2a%S
zJVw3RhEXT#_#zQ2th2awQnqb&ciZ0x+cr&0GpGXNyW{jorWtx^Dy#hDKC?P$0U`Ya
zQ)UHIvK*N=cpZbDx|hcFkuqFo2v-T}40YCzr~8n5fx!E@1U&a=g#iJ9M+Jexj5(3h
z@jc8+hU{EBSQ51WO5xT`nay08*Nm<xgn_i8ngwcXH--nl(x7~#7!*F%>e;45(deJT
z=${Zgxl#<7x@&h^^{8uSyc#~Xp?lrP^!kaiUfcb>{=VvUnU7hSrk*gHa(^SXg#1XK
z=4+r9+D@wh+gII%$70~CoP}jRj=Gs{o-?~Co-yDHI?YC~ZF{XAKiJ-bhk+Y3`@wY*
zirN!JBD=HYL_OIP=GVOqX>oh}<d9~Dbb4<?Hn~Zh`5Z8M7M#h!=vk9^_v0F)v4=E=
z9?FdOd9zApywCJW1@Wh-Z;<r)xW@!xSmaEPFP8LZx@-o*?%yZyx?f5IOC6ZNy8k!|
zU?6%JnApPDfdeIUUk0Qm#jKUaik&F$c67K@FGB(5r2UKE>5~R!BQoU-qGD6}L5R)c
zfcitReDDQxa#jkP==79)8VhZFnX+i?_Ht};$z`{oQkv(5#*4kJyn|ex#~t)5r+8wD
zkYU3n$VHK(?N=fBFg<psoHT<4rlBfPBiYG7v0%2qFJmXlpdMN{1{eGlNRjepk_lP5
zaUBQ#VJkFjJfG0sUXEFk57U_b@@2<VP%s!%o`<QyLZwCQF(NPvfdSiDo0h#;&SS3b
z@i}sIf*QlhtC#i{r$(NF+%LIPe5Tp;ec^GqKTq>e!#z%HI5P&CY!YnfRqR$ne<L$=
z60cY)?rquxtlsH5^>bDfSfS%syOtNieYYalvBUy}7O-?7O@UrAj#x{xm^~xVW1k+H
z%QQw>6z+4!neb<yQlkP3X8ByxbNog%<D15-Dg>Xzb3<2>N2+SpubjJw*6rl*s<_lL
zH*aZ>(a;L};wT8SFG#lh4gDwOiR`l;L@j9S^-+q)^EC*g6BQ3~mWE&TB4@k5dLo0b
z*`-x*v@YgetPxkOR(HGRbkvN56{wFUI<{Yhr--12(H1Xuw%LCT4FR90U>d?BUel}h
zE}F)I{UKV(_%iH83D*nw4=^qBgH|QuGSH*cG?SfC4)DYApq%ZtYlmLSZq8~v;_278
zljii1gXyj^(}H2bpi69tO0Td5{8tu>F()kPSrbIgZrk_jUevo(<O#AX&@h|CKNr~)
z{UrF<G=9ZiGt;Pzof-t%GM}`*`takKMTlr21@1DRQWB$~(RVP|EHeyiorzFNYqP?>
zB{*A-<Tr`ME9@JhDEoK(7aLXOcP9dVLYhyjqJki+%AR&Rav3KA((Kzt6Fl~|L;xD&
zQ@)rUpHT9*0#_4=VuA}<63g=4XsSS#>5<t>b|z<sQ6L^W;z-(yT2>cnqN|zaiitMl
z^```R#YIhdWv@eFq0&RhtBtaS;Ls|MX=M83wGWsAdCe)eDES!+fJTUC9;p6J_y<ex
zoddukTvO6p+9dnB6!fnNK`&+jwfa?Al;)9ct-RI0l12Yg6lH&n|6&nR6CwLM;~t-W
zyK*j-Lg;G^ozRHi#?Vc$%E?vJ-qTb`PkZcnqu)MNHXK@rx9}}B1+ljaPhb=>;NPsU
zPY%H|g)Wgh61wG#_&kOS0%GUIJuXAS<(2+ORFWR2gbty@bd`$KLpZF6SJ4(+#{X4u
z8(C@^KC+10u&-cr*!DwE(72v%1#++H5?Sb~;4p1<DOz7zNZx&b-zH<4<fXjSQ2dQU
zMvzpbRrrHtk@yEQYT!EY4gLm$+Pv6gd9eMQZfE#Vxl*>_D`;I1+W6g4HK@4f-QAQ>
z#E}X_%-MHzUH;+y88nxy6fyIMHMVmJk7Ccwyp_ghVZ6**Rb1}=VlF-iiW~T_d1^+`
z@vEAS;bY)QIH)Y(orHx-Jnm~t$K&QlC{CafJP#uPSR4$xzPy9{V36t{Cm2Le%-O;S
z1{DUhvyOaT{F>dJX}EYAG98za$dHJUo9mL?04uvgVwp2kdXgHdfp=kCnw`zm%8Vl)
z?{Xr*>Kq9B0@N%h@7h?_3=82<G3o&jrUkVaxc8M)f7yV`jaPrDyz|ka8#Z38z)Sl9
zrD~rkYLFJs1&CU+t1%!TpIEBP5V(G(9He|(^(T@LLwAa8)pO+?<comnAV-1eNlJke
zi)<{p`c*40aQ)>>TN$-BxG<z{4I8-r2Z3LvyE3Rpk&nS;5xdTvH`)6Qmp}I6>Eu@q
zoN1R|xH&TuY1U-M_Y&Y7GG;x2j?1Dr>6mry&=b(uf5PLE!E5%rz=QoB{z<tX><@5f
z_$^b4SF=x2ONWT<GFYvg6%jA}wsP^hHTK6S7W*!8&1D9uuPY2vtH27mVmdfIWNGb+
zu~p*V3VZ#~Y^1SJP<nqmrUK)N8Wb>ot{>yU>uxi`tX2c&Ee)bjgxf|zFb+E3LY0ok
zasheHS%9;D&7r+C<aQJ>Wkic{?mz^TMF^VcucX3k>^o>z4J&(CgFP_xXv_f8Nz~E-
z&p5hvKW<_I%Zn7#qm*6G*qn59ZAy+QURuPLX*L9zCX4M6#cWhW*cT)g7d2;sks`wH
zLBoXri3poUr!T_R2TnnREvMXsV7Uf{%WJ54wrpYnv*%T%ny;|?20%k7s(9MHqUb9V
z4gMJVHYKT;mxb(z<@LA3FmmOU9+|yl=g73Y8m>uxH2BXl%@q@E$m*X8@`{U^vdSJs
z;bEh}e~z++;0RgO$n?o-A20>7no}+l^i6~|^8nJDtvy(JKRN)cKItuOGL8ms4$-QL
zSCWCx1_v_--I$67Z-}CUXC)o|RkmASYv{y$G(MS@)nbVu5L7hy096_=9~m3y!v%z|
z9EB1Q5I%w$WxgFztN<p8M*_H<!zv&gdk%4swY-uH2(#Fw(*Wj#g&zfz=^R5|SeShc
zKA})q_RsX|Rt$~(i~jX>{JP8`;G6Z^9#%!1@1ye%L&kJ*68nZBi>~QzO3z`JM1SXX
z3zbuPXM9N<3$<IVAnH32IwgmreFb%yR*`oPEtv6Q;(n^J!rq}P@+bCNd{!fccU9;}
z^D7Ygb~QYCuRWB9z7uHK7B!OzG0z&qqebd6H}0glyEA}_vH)`)6^RXCn`rvwSuO6O
zWmq>l+N8!WRx<afu?$=-F4Id~;f5uT>ux+Kk6%5gbY_`PtLMq-gX9(j`<F79B@PZ>
z%4-tmV5Zek4&z`7dxDyg?3q#rz|y>VD$`GTa>Dyj;=HtUwQ=}(RUST0Ey!sOc#@h~
zVIRbQWzz+p5=W)$qa1lQ&i=BGq5b60hdy1Mb1LM#-D&kM$<rT?p_W(-F=DE4%i^=x
zF(}08&tWaSuZ@ThKoX1r(=0^=*k@2qp2%bGr=Rjr-feMsgI|3&-rm}g@7U2BTeg^P
zaQ-d{VU!ioQp7$>t*@|WRVVR8off2wrzPSR`ycCE;Euhe<wYKV`)T7HO-m}5j{cMv
zO2GS~1n&!@g2(=rYMeMT4&)6gU(!oq*nz%F34(YPY-C@;!f`-1XuuEI7`g6R+;iF?
z(SwS`$u03o&giK~w<h+AH>`GJ?M-;u^lmz_h?l_{#%0bn^=5##VnukyeOT+sOhTZv
zqsa};M&ahaSjxllZPXWZUH<gGbz?NR%AZNLdBt0)BcQE7PIgkRA-O4SKvglf8&E~u
zh3hdv^^=)Y@MB?0TD@3;G6pF>-ams%>D{&Bt(B|GJILQ!Q61!Lt<aNHNFy2RN{JjR
zU^4MKV6tFV%3yPSrmqY(qwf`@J2SV48O^@N(N!@A%jtH7otALtpg~VkXc)U)#T%Y)
z&eY0`E1xChL_ivHur)172HSU+)9@0oO?5URwu!GS;)-QbpDAh(YVLwgNR}nKdl_~?
zA1a3|pXgmlh#?ons`^-Y2l;ZLI>-@DdXf^(L{*JYW53ws?SlShrmc*~8eA~ri6w_L
z`gcJ~Rq)pZjG11`5FbTM2A8GH&}8;w<AesSG&7r_dTP#5#tHE-JsCguJ)_FU;nJmF
z+>{*+t$?4+L)PGD9LkXI^5mkB;K#lRGkSSfy228Rtx<lo--8k_jnm>+vP7&szNOrh
zfs5ZOReQ+)(7&w6f2jG#{)2dj)9*vGkY*Fw2z_<9P6Ek)Q-j0ok}SziZw6M-rc<gS
zwT5y$<>CzQhSQ>>AI;G!B`E)oMESd;qRjrAYRHvG?kGO<4x|G~9W1vnpiZ}CAv{Pw
zy;d06$P^+%h5FSlN;hML-MWi6z3gaiFX&pXjWi+j-j@OeuZK}H+g(5M+Q?K9c}Pnm
zbBi>*X49dxH|d_kIm$c|bR%kufJ76vAEF&6p+fc{0vme$_Uax)!sW$jp-c1hpUB9Q
z7YEE)oX1?Agd!$f{y*5ff9)ug#+xO_sFJo+aNsY?=KT&WDy&MffP9l3o?E}iZZ+&s
zZ0Fwx(G+DMRW&5E=>&BLIg=Wc42Q&4DR9tPv+j}4AcAv2z25DJ_Zw{ptKZ#jt)BOg
z@2P2rE>vHNVETZ7THmNZUfyD7V`$jSjm2+3m6O02#qrcTWp6-pFim+U1?Z6}O4$iH
zz4LliE_(5@t>CE^U$KsRTc*Q|t71&3Gyrvu;K#%Oii?`Q)JW$D?nT3;5Q_a-jbGpX
zY#)3D`?ERa-uW`gn}(aeTs^>uWXF?uHbv(hZW_Qs;<h^PaJ?v6e%|3pbx5n=?Kd&w
zy21Ih;#wgl55F--(~e#51el^ovA2-FN^Z}sC286)5&1smH-AseQo)YXQTiRuskb^|
z8q{mesrfNi<>Pnl;^@7sky&eA#K28uEEf1unT^%{QGsKw+S4Pmr*gG7Rzdj(E}qIX
zS4_B})E^e)6&E#?nl(^(*aH_ILD^D(gi>pC`jom4oC2lJDfd`P5?)y;Obo$(q6)?%
zi`!u1@yGyC=`$XsO~%JfR)=U+orWNnWWY8}eB9*wMA0FRo7}Z)Z^Q46XV2;QTJufJ
zm(Qa)Q&Wreg+NfpO};{vj>leK)`NQ2EDk8%=TcUN(6U>WBMH&IyG*XOF*j%7kFvA3
zSU)2!=@$LDS^7F6Pt~m(nTN87C9^#gJ)}Y>v2^G}CpWAcPN!Or8xUoX>FMOgjk(V+
z<X5AUyBpR6H=Mrl^i5~`Dqcw4xu7Dh$-3>@!O+A!yJld~#KQ9-3PU+w9EIOvYf!D=
zu0Z7%gzRDScrnfcQ1gTOIb#c%|3wZ%2QpKn?I>d8ASRwHU|<gOiW!$MO)?C#+W&)*
zq*Z-thKx+Hg2xf236x8;`zp=%a-*j#8JUKmESWYRN6-NoHL^m3YN}&i@ftJUtSP5V
z9rKFAQF`f@bIhv&I{1{_piIB}D-U_mb9u;X9U#d=UgB5wkeA$%{GMO+MFu!}$Cs9k
zaSGgcUk#al`!e0?xLmTw`hz3aU8A&fskeQN?N$EN{@rjCbc=IGCA+_`(HPM<0WPw8
z>g*2{V<&f9G$%K4#qYE-y@iydFh)|oe|wj%`|5x**}6Tbj`5}QyBUk>c<+Y-^~o^V
z{WRj7K)psjyFh^b&D;KHYUBn*rcCet@@;?A(El(dR0Zkt5J+qldm~zV*@E<oDM8oq
zdC3V8RlY-knH!%s0?n^`GeWeqkVS%61XIJ<ky8OH3P5AUtAnA#7T5a3I1#eK9#izh
zR=s$pf-5RqliR6=$RoynK@X<18dH-&Ja$Y5S~e5T$ZTjLIcLda@KJOrCxfTympJh&
zeicjxOp@C-?PLO~F^TcnL6E3VROXVXvWBKk*~#hZ<C?-xXbQ!zEQLv0ilm2%doy36
zMB%H7(Ue=>iQ_NwQ4+Kak&^W!4t64CI&o(Xsoln<eRNNQMM%D0%om+&-aSoq$M_+{
zJSjY1)j8-F;yW@IJ)gnJvk37~q}xBD^XE5_XbZ{X8a+M*;qM}6yH2pXw8>|;oE8#t
zAw_-<7nl|utPZx@xR{sSASGDq94_b7Ww+zwYB37xRmxpYPtn~Z=;|PA>(OQqMA)N1
zu66zJ%oty!<o!tORNY0s^X(q)9HQ5s+SPinP2U6v(d3G}<M@uaQ>9&ps@PEg$>>p4
zP$~5{`9jBO2OXp=b9NlRcjh3Ub8TN=PVytpt_Q4enz|dtg(mrA!>M(*(B2_B-3Y8G
z6PaUg<IZf<LC$BQ8;QdXd98LgsyeNDKq+sriP?>st3SLdaseJoKdd^PPSB~kh-xDn
zKX4{ektUEYVb>(x%A{ze$B$>8WSU@KhGg<XvfYG+xc0I1gG^<9n8pwSC>Id<B9HZ=
zk0j+?d&>dh4dm24h_5X0D>_a+=rpPghZ6gu8%pTEsWVgo5wB520_>)TJjhf0kll@f
zYI2Jo^dMA=jqY~4ss#_giW_)E-|4ilPlN`S#2uj93W@#6t#;^i8$lKMwo&RZay$k2
zMuAyVNJ%}a?s%amMRcj!@It%h(?BR4IVw)a3gMpS3m8lY6_7{hAvLO4l|GapKE$w0
zzt9P?debf;I83cI!18%~jzV8TM30bGL2_DK5JcbGMz*xK9{8shC;6ea)2>nyHE1Jt
zD?kD=Bex;(pq|u&TW%D!!;SUz^XJd6wfC@l)>;cXTk8#HXB{QO^&Y>9Y6wzLql&b8
zU{oX$jyvtu>#qL+AbY6OtY^BRJ4rXk;%*`&Vh`6mCu)jr+-TcJ7qgLFgBCR+w|8cS
zABRkCSG9U-@~bk_`6Yfh+-pVlZq@a+TpxcSzZ3M~fgWE7w-GR?zNZVl4gu5^;#yu-
zvDCE{w8!f%@*38`c&TqdSwM)|=eljAnxl_;h%a?0J8%io6V$y{6EYARhNEOE!fq{H
z?y!S2f(_{E9{O?}_~MuNRdwX0KUZ~-G}^Bs@jNDC`q;)rKJK)3=*t{@Mw$rdB*Y78
zhdc;;RF&tJg)kgJM-Z0?UmAfZH0V1V7huFvcPV+JxQ*7D`hpH&(`P<Ve41{`-|W*g
zqkIbggnX86Q|2QoBpz&r?lt(JhIo#-<z|Eorqm&7ZIabTO%hk~X5kB&vmw6L5hCSi
z?;^#XuARkXzyH6qaMo>#x6;L%>*9?A@!E+vks(fP2)9o-$6dZ?N~wT&5vdA=N|Qdw
zJ7kRFa*~(k9a#<^DuGmQ*8*P)z9@QS=B6$^n`&`3?p0JenrdIf&}bsND%+NNa)8gl
zRMvwo8Nwc)N9fLn^g+%rT~6Pr?mrIMcyI6RP<9+nfcb!^g|O1HLv1lrx99b3A=mR>
ZtL}FjFjT=7eQ0K`K}KEKKN&q(`(HI4F*pDK

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.validators.doctree b/docs/0.10.5/doctrees/dataprofiler.validators.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..1f4a6227a663c92ff083f68899576b492f8d4e4a
GIT binary patch
literal 4155
zcmc&%&5s;M6`%F)eD3b-u8qyXUT2ahiX*%;R^R|Z5JVyrSY-ksaUhaas_CwoD!aR@
zsjA+cMIhlrz$?`)#UUX6gGjkV%3s5QKY}~I>aXb;v~g}3X{4@Kuj;+`d!O}}_TL{I
zw(_4n&?y(ma!kW8ks;I0_CgtCF-wg5)V=o9{n_2KeMQf;%v8XfZGj`;A_^5t+#_d)
zp52H@kIVC2%>pB2QXl7S-r?Ox?jG;kwh<;`jV(KPNFxzaBb9cZ3rss7u%(y2w)ct4
zb-`sfY$v6VZX7?deNwB-w{54?a%y)XkuW#SX4DR-F-pub1M9ps+alCn^KKAPtwF?h
zJE3v$)eEz9wV2W1iDGllli9AJ3%}*~0l&@n_#M8@kL^2?4>ePI^6p0;zy71|Pf{fx
z>j?~^_?nA|sR=aHlR~q#jqzD+`dDe0bNBRGHsiYm>MPg|D}wF5E5j^;qB&BxR_hfy
zuS2y5g=$lN*8{*`fYtm(K>ITOui*bG{;$Cz{=M9ilY*V!hXNfa(1(X*oXRW-8=fkh
z$XkFx21c=_7t6h?1o7MUyG=wIhQkf;q!I=Adm;&<EMy+H+%LVDE<=_Y?oM~$Fq-C(
z1@|r@Idhk`!$lY(5HIb1d9)_<k}RGv#X@)5vV%PCv`nH4@D32qE2$oaxA<{xeh=vV
zY!fqkP+EL)u4tMv<>)4iKgGEQjDVfLS$VAl=k1O4)nM@{fA5i-+E=f@Y&@fykyY@x
zze1tkz^5tYzdhaIA58g&m;B)+|LBtc?zF{!f5|^Cyj_{O2X%u@GdcMtX7z2yP_<yI
z@=yh89cT7#oQLVj75YQljYza@p>f7N^S<~al4|+fq?$8oGR4SD(Int&c{N!<Ga*DI
z!Voe}FW&HZh)_!wBRL;kr5kc!t8ym1*n(<F$d><~2v_;98PNCaPD+Jx_JsnGA73r@
zDep{;qaJ`~mHclVh`bo|QEll0k<S|-*yCTLG|~kd&7~R%<e(Ar3y*Ce(F>{q^&GBM
z+4>i3{^vI@Tc3UF&{RIkW^5Js-NMa!72&o)YLwjpj+YIjD!Ywq2CD#W+_X;JxNN&o
z!_h>pF8Xzk<oA87ZP{UvDc?;=-8=UxO3_1YPcviSS_}tAb+?}@nHYu+VLK0Ll%ZT#
z;{rdJ+WvwiO!=;kI@U+7F>Pp^VzFC@A-MYqmV<JcsR*lm6k6hYuHS{Ywy)9`&R(BO
zX%cCW?)B#BmfiQG2Fg5HA_!v#%FrixO3=Ri1fy}~?SjH0mQ%>NFq~AK9}>$0<tQ+<
zdy1t}84|HG7P-@FcED*=FWdHrEm2QkjmdPy)VA%A&9Vi=4bQ1cfE73tqcJFbqiDdq
z-tL(liX_bpVM!oEa5>x0%>3ksCtBe9&iW={N=ZdHO+ri&z}c%B7-tV;X4Y?M=eIa}
zys@)!1^>4l7MHFRsE*!Q-`F^554`~zC~@Eu!60Y%BbqESlmNgTVtoyL*xpbqkSZi-
z+6WGa@tu8YJAq8*un};Gkfa!?#M1GO9n#E5vLe}Q0ui+zW^qdDr~|4wK_K8%LL-0S
zK~4d*iT1u<ky6dFP?BZr<LQtsQ;A;LJeh|`V91%!qKMA}5(-UckvF8&vRh>Xzi;<o
zj7I#^a`xCS*+@O5-11)#f;rIhz`g!9v@^SlNuypOK977#A#9QbqA(J%Fz#2a|NOUY
zhbc=5V8OtW1UY1To|1QZpBr|>jY;(zlgat{IhvW_G8s#?n1t+X0!}?~_NG6PtAZ26
zuo#Xqa7+*MlUE-60LTv2JlGK9DJwB|Dlta-Ixd)*=VG{tBZ%l5IztMDejw}FV+3SO
z>fEf=Cpz^Ja%m6sMPlfZaIxSK{s`WkNcy<n(=kPs{UJkAYXEg4Ul&Uf$$*vv;Bmmw
zeF8YXNH(CHLx|H)vJ@ix`y(Ij$|8VC5EPNj5d&3KxbEwO&SvX;hYa&!h(x`BEY2{|
zT-uvKB<T~vVk#nnH<4ob3*njFX33d<PS{>iACQm;FN_8P0dGh#66GW75d<Mz3?4-Y
z1<bPk)nTu%QHuu#$hd7@FFHOg@HPRx>xsqpJ^mH{l7GQJ&urgQ%|!~t{7C=Rlz%bJ
z_>2DgOSF^EF@iqjf6DBB(<S+R`+-2k@(MvlLGhVa@fC_UDFq*1MsQ&~lTq#Eob@{!
z#G1Rmc4NPinjgBpc0VepGQMQr+`OyY!O)Jn5a1O8=R3QLxgrA8umO#s`&LQ+6i9sH
z-bZ9(N<pUM6{k^>3W0TbXp-@~8R`p-^r)z-&Q-ot`9C&h^;`DscL2NcZD~~adi2uQ
z54kUmgdU+~jq0oj$I!HT#CG`Y$3Nd{wZ5)Z`~LhH_}+XDpKX`TYRm5U=s=SFa{7z+
we8(sr?fh@$d-!w<cRv0}ai86-@yVlkw|qe%{TBXBJP3U$FRPv(FS6PAe;b)f`v3p{

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/dataprofiler.version.doctree b/docs/0.10.5/doctrees/dataprofiler.version.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..ea60488fd0d49d92b1165e95afcc38d3be351bbb
GIT binary patch
literal 3111
zcmc&$TWcFf6n1P&vV4*4q{&O{RH1}A)RuaCXwyI`p?#>S9zv5sAq=D4k!I@Mo$Xv~
znG$Fp0tw7prhljZr9YzY{bp~HOhTa#tw6AI=FFUPzWL7O*VgX`+bhM-?dqJ1Y&M{A
zoXMDJ?>1r?*_36*zxMZk^UwW}>neJorBxC0ZUq_<7fGyG=AU`j3+hHBdQhG3XcieE
zv*tK&@iy-~^GCevT1J?JEo`~YQ>JuK4=T`D|DMf)>G{SBUwDCQZn$<%Vb^%R@4BRM
zl&`sV<=@DyCn95hWXIHPQe%`DTZ6bl9BU%h!RJntP^}@vcPpc5`Lz+-e7+dd=uELm
z(6O##=rnA3zRPd(ZGOPl_@VoH_(a3`;dej$`0?kT409!a(!-b<im!=Cm>R-EJuE$2
z+8CUdK@XHhEO$;<?U=8)mdIi@TL7oTjlT=u`CXv%9{%_6e;@z*Ar3&HMB)9BThFOb
z-W{Yewh8;9zvxJ9&%4{@_Q@M}d3$6$wfqBqvJj^D$1o?18mkx?E1E@oDbisbX@2=2
zpaFlgX<ts>>>i-F1}M6&i+83|MRUFYhx_OopxTdQW~j(?-*DEiuJ30y9W&LRNL7e)
zydIshLCLCH|K{YJc8>tYSLK_J_?^J4w?0Y0?n_YPKgO(nEjwn7Ye)Q{>s0V~R&!@A
zqBV_z&zrbmtqhSLmxO$KkWI4j<8bzx>qS<Dv?NUuZr74B8Qq3v#^B{qU-p}VF;RF)
zmc`z+pVGvF$92WwyCc_~vWzKer1DsRuS^@7=2&c%W(e*+!*a7)T9sh6V`M}^@`hcQ
zYlR%S^zQmZN|Q+gmNuKG*W6C1Rv-_VfjX&&q!&1vlSrna2x?q;yOgkm6%ukG3@3F7
zfyL@TRZ~W8Td`a!LlSn*5`VhtHaSh2Wy|fenE+M>Nuz6}mTSdqY^N~SyPzrqR?tw4
zrjT@vq7e&z`<JdKvfLWNvPj0z@~&&m<m9sxE%1G?yh)f+QV~wG8082!2UjEG-LAA|
z`Ic63i+6`tcCK8(e{sF?(zyfm(SzlUD<|Dv2tWfR4tx>><lRm}v#CX*0`3^=RrC~h
zL$OGzn8YjxIbbGKxRGlk?<a^6aEO@XsLf*LdE51<HImFlZdHI$JF!i3(y$Jw76Jjn
zsf;G!!rejwXfqw&elE&2v#}(zH1KJU&2p(3Sv*-#Br@b&Xi@TWm&8KTaS{TlyzJE3
zz>nQFg3;hVEgB;zQ>l^ACW<z6D}2ES8cNW?^M>1Ey!RHGZ?gnH_d`m7HrW&`OhhV-
z|90iizgn)Bvz!1HhE$9S$hL!IOyPaV4cF(!<odyIcyVzt$S)0-*+8o4FlOgNXzHPN
zH^Yg-6`UZ3rFbZVhuMJq<lcv$0@<FLL|4oN$=u9AZN^B6u|P00Da>$_CNR-8bc_^=
z4fm%T?hu4bNt2t6`$VIJGylr%=}VOR8R25e6Z}Em^+X2VZ|jsI%YL><Y7L-n6zg(H
z5*g77+QW#WnM8Q_GTDG~0U=JG*&HUq2vf`@RS|dv_Q*(N6L6re3fDuO(0076x5v<R
zVkGJ%Y;nd6Zo3&JlAaNkQjrjhRf-j(#!I)xvhy&PxQ((tAR$37^n3xr8)B%MGSnON
z^?euuT@2<bP$3Re$a7S%C22XSK#bca&7vLB0z(euoggf~`4j$FyKWGe%N$@m_x#C7
z^SfcNc#L`GAzE&`bYNbCtFf(VDEuL<yGY$SFtTV26#ixC1AqLVeb2g`MG_SV>_h@J
zHb4keN=c{{wO$GJqNLQr1AuhtSSAfG3)Oe72pjG0(v98PYH{fL(*3CU%7i9!^XgsI
z&WhVaC5xmDb;`S~NG1u$ff&%rI*%&(Ydqi!{}{Q5F$vj?0al}kmIj-Gwj|za#0BlP
aL>47BMjesUz_`sg)ZD5(g*m{E2Y&-j5Xj8{

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/environment.pickle b/docs/0.10.5/doctrees/environment.pickle
new file mode 100644
index 0000000000000000000000000000000000000000..7c172859c49e778452d40d7da21b139c0b29db2d
GIT binary patch
literal 650218
zcmdqK37i~Pbua8i)+|~^`(oL0*<;D_(lc5t*%n^3%eEE^Nw%>)cB`kmX1Yr~-Ayke
z4YGhN5IZT1fM!cb;6Vc6Wg&zlKp+s7kVii9$oBGH5?%;|H7v>dAR9bhzO&q0OW*3Q
zy0^Q>{+{&vRZmsjI`^FOKlj{o_g7x^#>+3e{4)IKuBcV=h0^&kyEI#<mP<2ssor##
z?Q0Z@xr2d6Z)o29W6g`rE$)?>N~L++9nO`r^{Q>>3e~2&bNu0&U9F8Dd-U<`ckLLj
zRLf3nJeR3w;IFAd(XNg|>e~3$v29z&cH-aoWv%HhtW~o_;I?E0YUM^XYr}Wha%rkC
z-E@}-=H>mu{rtk?cBnjSSF42_<aV*?URAT}4dUKDU$;xOLb+6HJ_$m3N;qF1%QWg`
zV6o{gm}*qZO?RbK5WFj8D&?YGE;ZdXfv1I19i%5UHr>I}r2KP<{4-rFl+HG7cK|hG
zXF<VB4uE#76GA;rcPLw~%vB51d3bkX`_}DSZ?hh>tM<&Cb+}y4)e80cZPwmKtzIZu
zk7kOP9o(1l*6C`aT$;YkI$X_^>ej)WUAoQ6lycVoe6>)+q{R#=41~&;0jURjNp%2p
zi#h~A7+NqKPh|VNoo&<stgA{kq-(k(-Yd{Tu?*-vGkoTef_=`a=YiK!xo%IE%V(`}
z$vRx9-`|+D?#|cimD=v{@##W6-<TZBmS@JZnM$FaDV9t2c(pNE0N}^bn8s%^h0?gB
zQ5(N-!2*LG101(kGWGlxaZ}37*tc1enVNmiaUgNCb@Af8XVSw>cR8Y-EoN%9G>`<_
z02~%fmh1VZyH*%PI%iL18pV3LT&a`cU}+ebv1cYh3(aTT#r$WgT+N}lgOhX8T$eOT
zz(~qZI%1#C78^O+d*m)kr_b4$vsHU4od#|SrMz7&)a{&?;+clKv~JH-ikZ4yOQTF+
zxbAS;d)Caj%LG|`4JIONdtrJK3v<(5b;~Vdh00uMGM&xa*|U{0*li80ayVa~DW>ar
zd&X|&*T~yKy$IkPxjR>wwMa4d+>|fmz`$<0H)Okak3))ktzbG~7B}5%&9Yr^8n6z^
zsaDU_3t3Nwfiyn=0hZGHEP#Ms1B<3RoCT{d&y2xCEWv}7YM~68nQI=iuB^QpzFAD)
zOl4-#7MgBKP#Z7IWTx%fIPxls+0pWJ`6!mL(<tj$r35y(!WTXS>~Ikirom3Z1>77<
z>?o8%CODMKRL_d<MkBsE0I!J=`2_%rpq@|LMc@h{VL9#0%p^eYl5efP?6Toa)`N}8
z9Dr&am*pf|&e>MhE*7mU6sKx!cmfQxP_pUnf-G!>(!~q+pFVc<;)NYs?>Mx7+r{W)
z<wjkm+jnT^z8weJq)TD0smW=X_|Q)L-#IZA2>HRmt@yv)2emqsovKWG=+FW9cM*i&
zd;HV`LQHF_T(yARN~3Popy+32YUJ_iRq%9^ne16B56BUEh0=6b+6=h-)FimXvoebv
z2XEhgd#kX1vJ|@ZQq7jhx8J#a|BhWP+*9(Zos)?U-m!E4&O6&AYNfbu`}Tc1T2Ud2
z)8N)T@V0K<yM1S?+Wcg#RJU%u<M!=$M6oaj22(yKSv_!I->&WZ+NW!!yKnm)2exgG
zN<Ud__*&X}=b=N9R54X6&8=H^?cBdNiYAueQa$4_yKUFj{kL~W*h+ct)*ajKibN|r
zm+@2!M0f3vgbP!((%ioD&O>(|ielni9vrshb^p%&+xA8BO37NO?%lR`*S<)-ib@AQ
zK(A`2ru?FJ2>(TK()x{GT({D{i^EW)4v@2eqJtHsjQpr@mCB_Q)H8)r3cOMsik<W`
zT<U7p7JF=Z%wpem^YFw>=B%B8+5+pG;fa!cE<n)pLsOYjc8&>Lys&B5f`3q~XUm10
zH3crZXhFG$f_)BZdTXi*)pTyGR-dy9Q`U4f1EE#6X4T7O3o8C;_`{ki)G<(iI^3#&
zl@PrNU}1t|uR@9HSNZ9L?+ruG`7`-)4@tCVCUZV-qw}9Y@%c|qn90q86t+jL^#d!l
zePU{|e7<H^NIZdq<vrX{sq0ayHi|YXDnyAMZXLTlIk5?hcpwI~YiA1;a*3V{Q&e35
z(-%N>=lA%xQY*sa3n$J-esL2MIfOv%FVD<C$az5}=|4g6Gr1fDelwN&#2$!a>T@2E
zLbX;mq{L`HVpk_2q?p+Q(LY4U4Z9|3A1mbID7PVz6PDDT_R&l{+ii*aDmVtEhj;`H
zN(0N+3NN!$6Xy!KdVXS0y$t1}XiwE=GS%rqY2syjCJ;-0OGzj8K*MIHP%2<qK-neM
z_iVGzdpE_xOrcIss+s9&J4elpO~V&2OjI(}iAD*HV`7gaGnFaU><PP+^BDwR!(|=f
zVo}t=a6FV5U3k)BVIlA@OcbWD)T>`j*pML?kFyZGQlUXppYZOWT=9EsEU5(iZ&MRc
zdZht-Y!RW<M6RN~3Vtd|ut<$}#6=0iWxFah%U?_tKqml2(JoB`R5D9+nHZVXDw!+=
zApj32@k>cdnu`~<R_Z~=Tx(P+<!arU$z-eL8aZZ&>N8nrtWR6zie18AZ0co;<r@A?
zoS|>@T0z8GEi()4Djy}nM{(KEv<equh{>yUN$KJf+ny9o8*PPT-(=0$nOdW2TP5fP
zuyYm)EARtxTe6&(t(PkoE{tx&?=M~y6sk6K8_e2Ptvmx4{NBpcEogQ@#BY_S$hF^Q
zp<O_z2mC-*=K}s7Gp4UDOymkP_W4S6``FHque&v92*A><LG<BXGBN{210qMLVxeUM
zm5~4rY9e4{q6STNXz@W!NJ=8+EelF(4q$-R_#BqMtoU2L-GePNEK(V3$JkE$yfv|>
zQf$;LD3S0dlrs2xY&#Uss$I;SmtO(RSrQ3~z5HIhyD)JS%D)|W5fW9T!ip9Cd9K7K
zlbWbh?b)1Nspk`<4HO`>7^W(&P=rC>0Y>fxpA=349L%EdAZn`|k_eU^{2M&aY>Tzf
z^G#U!OABQDYaAbBJV<V{P$mcxEr<sQEKnd82B^8KnV?DTDU~Oov2eCtZGcw;py$94
zFHFeC!rRH`7r}`lZ<`Qv0Ja7VH0Y+lV53T6K|Pqw12@q6nzkW#Xd_gixo%C)fsI1Y
z1nDvqeXxikbJhs}!Bj*RIV!Riv1fr}6@^HAGkkFqL})oI4xWDr70zKQ<`D(BT#?%A
zMfnAYTFUQ);1IL~+HX{#!_Tf!@dPgfRaT8<$D&!<12RwB)8$N&AIh4JU!q1pjrfso
zxxrVy)p~|4Uxy7<{XF3Ar6CLZWeRuuwz~;@XdN82a79?<61VMb6y9L%lp4D;sw_$c
zG3;1xlMC1eog0#_a2ngTZk11{*m!AE!NizVR8D@)*`CvhsY0|R`Bs9hf`cV;=^XW<
z%|ZJ>1k*V`5{Kx!29GUS-vxqu4&KQmNxz=WD#7w53#y5BR02(ipn2co*PksR{>3M@
zKly}LNlin*Oz~_>sy(9b4k{v1!oj&yU4_9f$N%Vy@@VZ7EgwHIy6v`HH8WLz^1|qL
z=^-G|9&#RR*W?+kiE|h}1_<8kM{E-3={?}8>SbtdK>gm4*V`!4yT>OXSO>5nb988&
zHz3SDt5mkCP?oUHx(z%iRnQn1oGVwWb5>>&nqknQko5qU1`BJ-7M>-%t<V{Wzy@_s
zTWjbn60iu88f1Icwkw%h1?ulAszYKfG!>0K;*SyP<eu~B|BH5}3Zc$SxjM&chByPl
zE-(YT+G-&afp<@I!jvosLT}Ht-!S2Y**BzWnJL?v%~T86r;mO=vQZlj#^s%ChF5Kf
zl|-d*iy*KEsyA*ZmCDdTwx?LA)gg2$Puzr;GZ4y7+R(t5u9h3nO3Y^J7^9xK>7I!U
z#6Pn(G%KKi?HL8ps9_BXw4nDfY|t&qF5tH}O`Le_@Z+_YLPk)diEKhGiYTtBUaU>p
z(C=q6BOc#(Bi}cW1VFR>#{^c(w`2I(ZFt#@mlxsXKD=CymvOw@i<cBo4u{KAv*0r>
zpl)in+#^)WOk%hDdAkN<6m~9~he{p^JO%$zaY9k83iQZxqiVQWb4O;Nd*8{N-+^Nh
zIL<}mZa|v;7%r4B)IY{U09$bQ>hc?#`Ip%E*A)|6nsB+fY1{5nX!&IATJ0b)1Va=J
zcOW=+F;bW=fllv--v9kL@&Uc;Fig=9BY@)Lz}scW*3;aFlg<Db%?9*c+m!|kC<MCf
z^LsBgv15J-^{hLAzWgOTAd;>%rltz#o9-g$dnj^j4Vf=`2nSB=+<^iNkih`nNf2kj
z81xOmxB)a2z|Upt(A>yjuMCVh@lXc5bGTzXErXq=J1|z71Qnfyu^arcb7>__!(CEp
z%z$pwU{)X(X?8#a`Y`HnN`(BIaFh~~LB>G$PyzbA@X=NE4ED{tgQxMA9u1>GK<9Ef
z3;7Nog`$OVC?syUYh__bSM8TJ3RN4FLL)ftAvwa8&6S+m7&PS?xv3)Pmd3g=U<2dD
z!enh+d^ZNes@unQjNR@%fOZ5tY`RxRWD&%A2pg}{G;reXsO2-;ckW8<wYNX=vhmyP
z6S)T(yB?o=V0`D}hii|OCU2eD`e5;)nIk8h`mUEee%FH!p51#7f(6ac8jQVwhk)_Q
z4D=Gt&6FD`-_>%2OblD4!HfVekRQjz7S3j%*B3`Mw&XYDuW_%0y1jY)r<(ce@>c#?
z_`_WewuZx^VD8=^=w&eeh6Y3_ug!1FKZl=OpTB`W8Gu$3G(Ta$>NWh}Dj2lQ%z3v%
zbeo=<sW*>vg27^@G~IwOQ$AP(P-TjC8U~<gq-lWfYt0OQu#RC*%kOAR3I`Bj@b^Ns
zT&`anyCC0PyZ}advB@6}&p^+RT}3T`r4&jzD7b<L{EVLG-$_sMh5QV^8WCl~E`c3^
z=0L@b`c&%9R1L~Mr`?&~#c3Cd?!YvRqk7`3gK#1})hJO@70e5~Av9QOp!jF_t7VvA
zrksN=l{AXsy|@;jnt^gqruIJA=oAz~=;usRL$vv<$h4L(pG)&Na!o#5TA7=sF)J8#
zn<HKjCKyzcLolB9p!5i?g)Wx+X?#OvLAU335ZvyF9NkP$!Wce5NA#Cqy`DaosbVLH
z$INo<G67Ff^WQuvGFt<36A)lxGc)B<8q%Q)g7-vl7~D+St`u-sTG$Ic0>cbET0x2e
zSfQO$PeVCH`)2KcuZ8HbItSq5NHqB13K%0<_hRa%0A=Ddi{|m;sGw#142(w3LbwQT
z;KgF-g~7H^E#0Vs?K6eJQlVaf{)xHfvy^D5xKFbK2Px?Bs_<g~avCg8yj;lcP6D@5
zct7xX@D~hiLp0btayjcC2HQDfs)*8%0EW2J&<82MUXC?E+I}exR}23sSY1SKL|#HS
z!}Ve<4WUP2YEG(a5kAU7e@_*LJEg)K(1uQf>@fB&sntNI^_Mna$kWsGiomlp*6BFv
zd*w?HfGZ$%uL`~w1LEX-+#y+7skmR^WT287q_J@vz{lG2O3*&|9jak$p@St<!C?nF
zm;J@T5oG}yB>@R(GQ{CMgEX_|GIs$!M+fE(Qwk`L;60oLF!P2kR8;&of$?YWwfK+*
z<MY>ej~CHbTo{{q%X`kuN;$y_?GopQS#ebjEJ6GP-3-C+L@n;Q-~2|8<OpR2Giab|
zeX4*n8wMJsv!(L60A*&U2Ga^qzO_O52I=!gA;-@dBbF+Qb90(E2OmvCLR&r({8nvm
zHh{27B3UV885Gk5=tVx8&v|UGphR*)L@1rhT7vl=!tAePx-11ghB-pQcD<xEsGGpV
zJ``jDJV=^H!DPW$MY+NV5<gE<%dL6jGX9DMB0mbH8zT!2<ys+vf{^BF;~7t$WkeZ5
z&TO?n^G{mz%<pmTO0_Tvb6Kh_@0Zi}=O6+Amx<K?RAa+1C8+Q+_#{*GSjgX%Un86^
z#cyP@a;^rw$REz%&wuRBzlf8Hc^yEmp02a4iZ?vBBvd&J5nY;Cah&NK%pc-E?#u7t
zKc@3}{^RcaJ@kh=LSKQytY$*oxT~2QRJm#Hf`VF*YW?TX<~azhfmKaHI1VugQ{#`Y
zuMqu5rU)d#=X$SK5>0mHh(rOxXs`&P$nUT&t=JGbVt@%qu44B-Cf&&xQh>Q*I2#2b
zMDWFxYPvj0lfP(kT2QJ0A(6={V!(f%=E*HreDZgM06bGBU?@ya08xQ{EMY;<247%&
zl@_y-LOGF5@(T)_#mhCshX34)+!u`1AqWpD1X;mRi5fJQvw4ieNL$Ph7C-qdV=krw
zVP-8aSii)O9}WtBJUcrlt5flUCjp`LW8*-g%vux;7C*4MiUKRaJ<tEaUS6n6V4hwL
zDkMRajf87RtN>-R<%%&&e9RfJ$bO_FBou;>J_4?t^}^YTFTuA|(I3Bts&S!oj7@XG
zjRY}aQL#S42tn%k8bS)2Ak+fE35Ry6ToYlLvkP2uFk`BvA;`l9S5?-wMEUkK`UrR^
z3<m-dYKwBAb6*r_ut38j2cycf)v=OYA1_sAU=kjs-LqrduI(HLEK)Nw#Z(q~!&VA&
zAX~SJPL|57gjWo=XInnb6>2a?VUDWpD<+=6M(>kNn-h72MDtkyA~W7Do7KYoyf}YS
z5Qjc!G$0HT(Hx-hG9VsNExt^?$Cd&G9?v+x0h&cevsk`sU|sjD_k4wXj%_3{6HnAF
zS9`B~KLn#(@D!sFt}@ojG|)f?-wLxlYcN?1yt}*p(8EWMTF3VuJ80c~@Yvo5j_%oe
z;K0d)r%v75^fF)Vf6Z+lm@b%^0dIA5@A1PA?>!8k9z6=(Kx5_Vbl|haVm?|4ntIsC
ztzerJ6vNTZ2)~tG1r#~u-{~%c?tgE-?--_5Cb{->^65f|)f!N7)tebAHp9#o*DLg7
z89#yf%3$c^!bL2+fnT7@;=g8KS|@neVq>NxLTn)<COHokfQ-D?b9xxdEW#L4F)ca_
zu)TJi@?6CUTB{CvCuj!h|0_ym*6B+Aj9y_?1c5a)Yw)Z5u{={=!$|^lmJDi$_#(j>
zhhU#Yt3<ODgt->?+gbEZ=qFUe(+e>l5fG+{pWshLdhpgXb+o17u>t)Pzko(U`5gEy
z=%;~xjx0@P6g2%bFc(=iOV<0JVjl;#tMYaR+!9vC^x^Vg3J7kXCO&d`>l>K-VS}F+
zAOt>vE^in$flsb#{RCzuK)eFZo?fi;a}h6m8Qm+Mx?ULBHGVSaPzLkCDHRa%aPEiq
zRDYjBe<C>q1}fqT@MKUz76(fRgyYzd@TP!USmdqDk;|n$FTu}!TOng`uf~Vi8!0Uh
zdoMuE&^av(cO}jRDB4_c%dp3J)bsz#p=1_HQ)TRhpsqeye#6}5uYp#@nk!&^z;zG7
z94ipph9Ltl_@u#kZ!Y_>LJem-WJ-WR%`1>AWKL=UTqa)yro58Q*2ou;1<2#wSBpC+
z`z_d7R!agUkkGDY3PtFiXb9cl_jRc`>Ys(i%q{n%UVg)^XN139LP>B&2S^NY-GW95
zx(V19ucUVv`FSyc*DA$)iL_`ehhhb4mkytYN!HNqP=~q8q5>GnrVF_=bQ)904%tbs
zzXE4RL-ic>Zdo=BSwR$h)}90F&Jlj@00g4br3`S)f0d_b{(2c=&;hK?is+Aru(47o
zK{o|Bb?o|u{#0o1E`b;oCuBnxFto>^Dy!$Ab2kTbm>~v%I+fU83h%LOqX_BQ9kRi*
zE=!#)Y3NdsMPDQkGOo>5DjbTcT`xp<IVFfx!zz5$K@sp4;+@7ca9TbKZMJ72f<m8%
zpYaPa6kH!5->t`f$x0eJ)k+!cO-|#CVW?7Tc`4ELFwHs-;-KqqlwJx|3^sdn>H1tn
z_M3?wvDIMMP}1yT1?u%uPIRk*{z5$j&{ZmvQ4q1xyOm!-yl~uk63QAfzsi4|vuCjn
zr+^(CSJ|Z$lr1mWIzO4nTXsLVmv8fvE%lR83nDU~vy%WS^b30HQcj3vDJh@OGM^A6
zr@kqVmjKJKVg>qYTHdeqzvVtS>3W~_NUZmhK#w*=Db<-YPnZg*CZIW35>R2|cb0)`
z^XLTF<lfw7`2C2V54Tg@6=5%YKcMMLy}?gT!#!X%P-3ws1PZaQ%K#W&GVUFG(x<h?
zr$t(T1_h4+jEpyG)$vJKzLGCA>IG<uOIrvi&ZEoUEcd>VFZ{18KO+c|sr3mC1Evl@
zGZ&`NLcfEr_hn#XY`|^$x3JfiQjqN~$7-b|{YbD@gGvRPF=)qL(ul^N{}Ss{*|3sf
z`b!}q!7|l`C63jXiB!~+jWfrf74sZsyjZ-Tum)EjLHmAIw%3C1TH7D_oAO)O*R7J{
z8N6aAO><v?a;8|xXC`f$A|~T=nUvQKd42^lo++HSbDS)HbN&`4y+Ni2P4N(k?~7!$
z;AanGNzeksX@Gv+Kr5BtYjQ}?r3|m!AwOTv=0=$fdM!!>4$-T<)7;8{Zd2^jZIPM$
z95_ADK6QwYlU^g~i9YuN)D$pXTX39zwQ%<9WiqG(AjK>UuJD>EuaADEH()@^WVmC<
zT?oz?2ABma>*XrD^mMrlu?&VPtShOZbzTanZlOy<NwCpNAm(sD6$F7A&MwEqp08Ju
zK{x&^26pi&aaKVAid1XL8$Fs>gJg0r+CZI5*ijBOcLwWXPaW5HN{j=VUdqj#QhGx+
zUh?Ik<RB9^=n2Xdp*K*wLW5Ai7k*VmOOUTtg}xG@hkWS+2Dn32f`iUvo*p}^z0X7D
zCA#^2IC-&`4AH!y0Y3u_meQFLsD>KgUi`I^Cg*Y|90bUf3O320ABaR=8+-|)4tWu{
zL#seU48a64nm<nO@}v11MG5hSSaBW}H2!EjK#o891F&M@BaDzwdjU36SnW~ZP>RYB
z>WDn1zjQLpL16e8ojpd{P&b~3E*f_MI5$~peByur%&!-H&+b*X<Lp!60M~mQKmo15
z>Q^XrUc#NXZ>@-g`AzxF%(K60Gdw)zXICh}QY?%hAX9LAPi(3^xmzfHjhCJ1gcGTp
zA3(Gtu<?=z?0Gy%LZ5$m{uSic^RLYR7&~}BXXstW&JwOih5KLU(UWieRxf|Q(n|s3
zTr-m;Xe0PNzrKPX8V2}akgE~4G(QE^UF=F>B(^L^ts0F<cM11A(ON_Z+m2igK`Bk;
z5KlOShpN(DNYhtQ+zswh(TNON;#I-}C&XWJJ#&6AKZIk(G*g2IabFALRvWnQf-Dlc
zG$x^0<@p+D094E1hB6gc#~7@u#~>T5o2#`kFn@^7vHJsY#D`7yT5RY*Lx{!-Fmg!a
z$C7%}y(vTs#`p{H02<U|SZ}BO`=+}il+w=?RvdVfIwV~`|7~r)f}S^+M_R>c+6vEC
zhrR({gf-_F231f=E~NRm@W*H<l~7l044+CiAl1fDDtd{nB2*XNG+p|U(gc(VZy`hg
z(`nV{<`6~sWo-;rKiA8^+)P?<nrf2}DmxfO4G4}6H(+&bD1A`%uw0fgZo0RI63OQ^
z==uYh6kfx<0q&K1Pdv~Hxlcm=<waEPhEQe_2nj&=tp|XReuR>-wdJ5a(R9P6;H9UK
z3mRwK7mGtIIQ}H4gh57jAOXWiO?7<IbXSM?l$4w9x=Oi%(*$xAXj|e}vgU5OH-tV3
z5zf|TiS4GlDU?X+r#8l-$@`{zO`CK=h&7?tRT#JvFG8Cu1Z*#Ca)9a#%xS>>FE>m|
za-ft3?*;VNqx`U%7^H{UKLJ4@5)Rw}i7+=(i(}Zs0=?*<Jnk&bmZ0wn$YGxZ&qIN4
z!)6(z3+w;nl&>_z(lEsyS`}f1Z~<>sx5ofc1Boym!Fa%JSFo_XfdyNbkhpESTSD1+
zbWt#}i*$WTO0+(dlyVmK2GRoWxP%M3TIdB4B8J+z1OWq&7oh&bMV!oX8oF{ordvW8
z`}mQShwY)&^#!>UcvGneyLL}(a_qhU$d;Jh<X#_Q!ux_|phyk1D-)7sY1@NdknC;^
zk(CL-qX%ma5>&ivy0?WsA#P>4$9fH$&(NL&#ZJL2CzyyMiTVZn+7Na1y%oyAla;h1
z%sUKghzSU|p_>~ffsv*M#OJM+?RDma#gWX2N;Zrxmhy0=<tO(ndV7d@KLPP5m{BT&
zurKu_mdWEiu4g$NEif}%<sbv5GqUB#9B^e%8k(;#BN;a22s>?<i;GhlK=>6<J5Jj&
zf}pY7rh8*ZU=mZ>1KmV2@9TxUAPpU(wX`W10tbx8q_Gd;+?H9`+@vE1eofcv2z?Hw
zpaN2&vrCQ1{Pi%Q(p@G(M(!_%8Kli4SGen1ALe1|BQ(hC7>KTIeF@vC&{!tCliT2U
z)L^ThBMZFA4e~MdUm>maEwr4>Y=(OokPW$Uj{FRVck%h^man+OwRz-9C4Zd!3m>$y
z1-nGR<NP|9ueKh(TFCU8NA7I6t3=5GivTl*VLuY>S$9R~IgIYYeBNiFbE}NA^)UQ*
z2R%a~z2dem(9w^x8ey^&sP0*JHB8UVoK4&CNf8?MIh<+;4RqM~r2?}N$;Po`)V1Uo
z`MGoF##lHUU>%2^v~fsT8;7wU{36h5KkhEBPGti$U_76<zM&qwv4UNnA{yAMhTmiA
z(DzHZ8RpG$$p5mt6nZ+Smot4H8&x2|3LLMjH73JPhx4$8k?Uw^5xZ-s!;V+9LEm#4
z=DooTmK?~rGB~wP&X&b7i~N=O_dn|{k@L<#^Dw=LdS2bd^i5jM;d60p4w~PzUY3W?
znh##~rGLJv;SNF#Nj*7$#un$6D=)k3@ZP^Vkbk_o{wJIb^6rV#3;x(y=iR;G*MH18
z=-s_>)jOQs-re61eb;%BclVV;Kk3};-F^4JUg_-j?*4In*qQL|zW4UObDr?-{%!B;
zogLoYe|)Fz+#v5JF8`AO=ZtqZ^nn5Agm<^}ci-sbyu0Ps|EcqUcem#E?sramck5T&
z>D=qxUHjltXRCL2-K)Ri9QN+4KfTe}=G|@1A8;P@?#5sCv~$Y4yX)_VoPF}{$yev^
zcJB7>-teYDXWYAc^X@-$CcV3#|KNG&dhhN%FS*v)<K2DI-Qhg$-F>Mv?i}^*zBcx_
zlk)Dq{_;nhJH5Lf{PL~Nqu$+*-hZ#NQQkeZ;$MEkxx>4=_Qj7mk9l|2!7n(Y-rWuP
zuQ;}Mw|U!(o!h;;RO%<4mw0z$XRFR$?{54HCFe%(ZtL$&I#+vlx8ME==PvK=zHffl
z$#{4B?_K3=^6n1TU*>G_?jF3j$T{TQJ-q*|&aK{E_4BWCj(K;_{Oens`@Or@{NZKJ
zwcg!pKfKm?$h&*}g)5z%{@vew-?`7bd&9$*Ik$Ot&37GeuJi8R`1U)UUEbZB4oy2x
z`FHPI?`-z&-hAy1&NbfMTR!tW=MnGjt@+<^j{A4NxyTvw?*8Yeb~u)I_r(Plog?1e
zm##VN9Psb{=69Wk<z4#Xr@rB&y}Mt%^UcmZ{@vT|akBF6%*x;TeP_FOckY$1b8hnP
zp8h|dabE1*{q?aAJ5S2H%-HJ=JL|o>@n850=cIS{s-M2Q0qqnU=YD`w#AyS02bwY5
z9}Uw%aE%F1|Ap`YqK7N7etbjoRZUoTLjDFjR_+}e8=r#BO=zSLCf{W9<1#uO@7O;g
zSEuX+0$tL$ME(xBxxE9WU<@L{CdtDcoq1^g<t6f_nDf@oBtl^oZ7~LItq#maq`ySo
z8S}yq)o<|=85E7DxjR1%wQJM8FFw8BB{ELcw0}<&?un-$v#yPYoAC5KT1gDY{`cZ9
z*|Z}9_;m~czsZ+WXeCRSfXX}95rtg|@&ujBUK48L(}ypL|4=p&=p(OB4Zprb)h@!k
zJDyC?OhTAnqUsu{Bw!{)#cPR>C<iooP+O2mH4<XNYv>q#%^foU4eJv_mF_ihoHfB$
z7=p*y0=W##<1Ed#?BogS(Z)Hb-7$98I5-cvg0BT344O=EmYry%n*=2*q}gEW+DN(G
zK@+yFJ%&1kAu?#b5c|D`MZ3I&jLqGzSzeSLJT_U3p#T4F8h2}|!f)yu*`?QKZS-{*
zMP1gZgi${UWo}w=T%xuT;+`=q7_belor1X@XK}H{IQGKA6u)tpp@)t8Oc8EqDkO2)
zgTmLPo_bWd^x6enqDCsh&;u3qM#f9jQtsL#bQcTgqTN!UUqH&ljs{d_clyx%I_zV5
zZMAN1EUi~H81~+Dui~zwn;zB2*!zUiJZR{bVa)}OMTG*uUU-)tiHF^3-GkMG0<K%6
zLY4j{>Ig(Rv|EdpsMiobP0&{M+HPJjD;scBuO?_KdlV>efM%!|e@z-ac;APb`3aQg
zeMlM0JIwYH^_2ET19!$pellzBZJ<HH9t9<rsFN23d0yFYg&D9aG}?=q$t>f6z0<uB
zqosciv6o#R;~o&|kbRE;aeH0UU81h~E>&|_!$#Xq(;yA?UOXIoK=FFuP#@3{6Sp{u
zo-M={iK8IMmyVAN_MQ60yo;i_Lqj63Np^|GY;<{#_U~Qr-fh*;rH99nD%3%@Z1lh`
zdtGRxOy=$u2kuZg(@a8}P`K%hyVjJeFf-wt=n5R?`CQ_M9ET2?!cFrGAo}|8p72>a
zi@W!gV9X{98{EKPc8!Q<dqNy$foE#taDowZl0x`vb7c=}((Nkc(gQoPd(7yJ4XfYa
zASNpMd_%1E)Q{q*Fq+z3%zUEiIWSR-7&7-lmuMUs^EY&*IB<=hM~|9?q6-;j)WR*F
z1eLG<rKmx~1AoS5Qd|O*+D?onT8HA{@M(dVQFEAyP=fl=CnWz04Lv1j_sZ{Tc$gSX
zND(`$5DQ0iWC=~@lb%LUC29wCs724gCOV?|+{xg5v4TyMmI-%6EJ54XCl)nFjHo2&
zHSwvCR|wl9%!$Pz*62~}Hf2FwOh7dD>1a7(@~Xa8qGq-ul}j`o1<QDk)YAh`-}8u}
z>r#4&rs<%T9%JPAs?pX9#|*S-F7(>Nvh(pNJU1k072336t09;TTIQNILG|TZdHeMv
z#83~g>`m+v)EBI!gb6IfU)Q+y%IJG-v6pBf7~0$YI-Vlr-GfuXNn5?EicQ6(t!2Ra
zL?76A1y*1aYcDXP?OAxxSL^R-6`P=i;=2tV-r(ghgkNuCkls}Hy{M<VcQ7xUn!XR6
zb2vY>-<4tl2)vHX=w6)v`)jeDdV(Isfe9Rnhg&fIr<(l|O?K{KRN6C-p1>S^KPmqT
zHux^l%<UeE)*Elxt9D-x^n-KRQ9oTyLP*f{De;M%$l3$9A)LQ<Kree7{%;R*ah(Dp
ztz~?9UY`oP{?ig?ajUN?Nhdh4dWjZG^pK@XwB7;<YW4H9tb#}3F40;Iq|_q^-HZ50
z3%CxwMLqBuxON4#lc3)5i+yV#dx;jkAejUldDT~R*deMM?ZS^dK`%P3H7BdqmniV{
zC0e-CL$m3DTYLdo4X$HC<@B>#rw1DAYdbQ5srw~H{uK;qx*d`0l}FQxgxYtA;%YXu
zi5GBxiB<`c6<tJy`2vWMwCY7+eWCS2Jqfb(eXQ6GB&mn?Dhs8plccJVrOq1x3NK$u
zP=dYuqbn=ZdF%$&ZJ=`MLze_DKJ88Y-JMDF!09JIwX<DZqQ$rUuHJgy8LZ`$qy_@h
zC3>LxzSg%wKJCCzOczX2<h;_Zc$-VK1RHIlN6m<ybZ~0bXZ>wQ;F|Q_IFP;?QEz+P
zyLL6bvZe%OKWy7j{)02B6FBYg_wtVFaZ^{;e&HwXY0z&6+`}QlzMAX{#>gIF*Q@P-
z!(;g1hAMO6$xgkuAKdo>?Pn)5+i5xthxg&>SC?q33?$II#!L^Y*REs!1k>51I%sJc
zPZ!vpT#13{#JIf(YOn`#n=ybpnjiyX3D}prB65!*?tX$_CfG$nZurC>;zlX>VS=fL
z{`L`}vT%vESLu=75_paP8`Q$_?^z<;-UYe2EnbOYcP#!6w|>FzaMO>L(&ue{;;(*$
zJtAkya;uSOBaQj$5^XPoIc}!yaSPdTK2;Ak#Fsmx3KHq<V-?)=Fh1c{PPn6m;!J_I
zg2er48+iBwoK*%VOv=sw(&DRl^4pmFwvOas!?P+J5h!_Q;+JTP9F+Ef@rPkzPi_3z
zqmOUDYX?qrgyVfNdX)iwTkRh>nmPoNuZeeN<km=xJ;jSEU&0h!ti04J`DN;(Egh^Q
zoZThb1_&jNZgPA1s{8jzhS9FtnPS_oF3}c4m~W?zb6~on*mh9v99WgPMo$6u*lqvi
zCECsibB-R+^GLMYW>#{5bEw<N9rNua+BOM!i1uh64}nb@q~XDi(3QE;WRvRPcKLVs
z?h<X%gn6ItAVB*)9>)(rDL5+ju?}wjDEWF6$o7TuCE7v?Ip5tmi_p9?MQ><1?ey01
z%S*5io;b1qPE36cJhAgSxZti-?h-hw56|Vv6whVmYE590b_~1Z4#HIa3_1?+#cSaU
zcY)aB%HPlmHaT1+_dZYI=H)4Q4g>}#?buDS%~g%IsJhs6zP|u+?o`@>3#P(eqDGrd
zNgA5FN7ZP*GWoH7#Z@DxEWc0g+G^z5<ab71szzQ)lIWzn_Wq_u{zlU1!fDjVX-GmC
zfwwb@4yC_FrC$>1j|ZqxIhA=B7q?o&T}Yc@;ufI1=_GBN$+2(=wy}hr;jW?-us7Vz
zKZdE?p=#zFpNWba_z!0Dg(B<)T7uKNoW)mR$vX|_?cnZmv}^jSn)H>k9AEK1>I-rE
z(NewXjKH(TWX2s1oB@V8Tv?!Fz2N9BT(k&0JPBOzcK`6#Ae>L^-{1jObX?$*&4xQr
z&%nV}cnI?nB263FIZNSh=AF36zs6YsPk`Ok@Z;{>3&&5ErY+d(-=Z~)R=sS&={Xi0
z6j#Hob*+Fmwkm}RocRf-PK4w#q~UA;2ArGW0$OmcfnP*nBm4q$7XRG9KR5EvX8LJ3
zTi{p9xDLH!XBju_r_&9NgK8{MuUMz?lw>%;B`itDl+5oPkasuy;)bO${H~KsZaIYq
z#N**Ogu=~XX4@xYP7ij;DQ>13!|Cb=Fn&UlK`XIN@*ewPHru3O9#3`2BX02;!y_HY
z7R_4t6?2s7k|W$^HVH>EY6vTfIPzXGN98U#!mVzTaFkp}7rW#Lx7&^3XlO6&2ToQM
zR#4zMYv*UW<OO%oi{oV<9BLB9i~pQ?d25%v;I4TwybSI?^+*IO{$u9kJza8wo3zDn
zvH**G7#x1Y9Q<~d9N^Z<F&qq&(|MQ<cnMWV!57TUr@G_@w|0)<X2l_K!hrQq)!N4=
z41~CfO2FLxX_wsLR?{)u4Ii#%D)|V@3BF)%zSt!<xC2!TH$xAedgyorGlA#K%Xhlu
z1-EL7;brj&K9nJXo$xE>=!ac$gxf8}aJ2lCclL>OjL$v^8B)Z1=51(Ucd-fXl@!C<
z5QeuAstP=3Ue<QW3vPTK!^`l2iglECp9=e-;0xwvQ<vP}#_KWM42r0&7Uso&%$)4#
zk`vtYJ%*FzUcDs4-7rfL@0qu~UGj!o(8usLOuQYVgMdOt9elyuJk%vOxXDlqH!Jo-
z2Qb)BCTE?VvLd*OO2FJb*(G<lC4UTe>ybM;L&-Xd2hLmjOQk3#JEUV?&vwZxZrT&W
z>xTWI9d;m=#L4PbMCIHuCG$JiCBL|tPYl1yxlL$Mqc8&ai1*CfPj$%~9<UI@+Y*Xv
zqTNZ$JLc()UGjvR=fv<dLOh-DCLe@7it?8EdRLcx;l4F7d@Ye}<p@h_dB;4xze}EQ
zgOeDZ7M--G?ekG3HS~u0`FNN7;K3U){9F~G8}W>J_~R~lz+F>fco+iH!JRzdoT`x9
z4?JgH{-#S_@UW2>URF~bBpg5+zS^W=9>3Woj~nB8yn4UCp^Ft}HLSo+37Ok}?UGwO
zq9sP7>%trY!}93C5ZLXLF{f7zbQizk^4u6sHw1laN5ytb$^5SDl3zUFCWha&z%Oma
z(~;M<shH2}yW|s(-ihIJ6%0vd>K&PkPQo0HcgZ0xp^V{hDYt-Sc@LMO)|brHJza8z
z%l%@w8n~ZV_l4Q<o-!Xty5s{7M2g{KsR-C2*=c>rTs_t$S9mZ}3|Axf%Q+xXk)-mL
z`I_#MFFYbDhOZUS@7>YXqY^N8jV`&vWq&c;E#}@8ae8aW1BYKRM?cXeM|f;jB90F7
z8o#iqGe`0jbM(3{Il`m6VmMlJTpp(^aXdxGDTlPxE)jG2_Aa@^rFb!1u6hX1XO<ia
z*A>=ZbQ0$9*Sh2o7ly@fI3k#W9#0qug<~>93RK=QUmxj`FI@8y!`CwD=dFi$@5eA>
z>TBlgvt4qAhrh*ew$$S+A}nux$z1*SF1f-(=wi59N&R}^FfOdJ$P~=qSG(j7mmtLO
zcg@3rQ-5W*mK9kdIwxh0zt<(lIL$qV<MknqNxhNmc1Xv(UOw1eRE!4;#_$^3LLBLm
z2b|U&!@~eaAT8}f?<woz+AjIPgA`-<SV(bV3mftwb8%~zT;L4r7%pNFxvNVaaFTTl
z4?`zm`bUJ53Or|h9PW}AoVFdq%it+nob(*3VEo6-$-`Z8g7d&*I2nE<Q!M0g`@t3)
z3BF)%vR!h62X@AAGeUhC?O0OYGG8z4k}sTF9>dqbBhb|YdoG9T5br7T@ro|_z(Y%8
z_!vBRJ~LB+W1Pc`_>Y;B*L2AV&YF+mWTj|-iYZjq0hl=-W-2lT^Y?RI@`p#b#_%Uy
zT&R4>hs?!$yW|3oj*a1Bv+QT4&O+;H>(P9s{^eJ`wPqDc)?B$!wV>!_?h7mK#;A{O
zYW;*|_+XbZ;DNU>G7LNbu?n1L9cI#d%6$Ammwez+yD@y+9G*S~7KcZqL7}wH73z7K
z<tKX2!<=e-$Flr+m$IbeWm$8~u1>@BJ?Iax%2P7%Ybn+35;2!w>XJ)5z&J+Zi_thM
zqNh8o)bK0j=pVb}2oF(?;i#oNr4p5=q#v;qKk8BnJp4IEij7#np@R_{!(_WB%9R<g
z<H(RPE-`bxXsElW8V{+C;d)TE^um_lKW0wWcgYDJkR8Lxs=$mA$y7_(iB7^C-qa<B
zcxZPFhvU?Lfb)%U8YvE+kx!SSd*{a4`IpZj=<qtMQthu<uAN=VwLV_1fs<ghGnq=5
zU+*dNvA;_`@Zj?p{jLeMM%&mxyF|?8i@W2p;SLwerRkOl_cRNhC#vI2a9T>@;2dj*
zCQ9QRW?CBJ;7nnMru*UyT{<t^!I`miq_l%GQt4P|2j_!2G^rD3V>&dY5@$m?G^G(|
zCDKWx4$cUq!!RA3eMe_dIym#qq3LTl@64geV>sW-p-EdfyUL*{QaHDX4rFt1UJ;$I
z=HR>@I%mwmSu}J|mxD7{9GZrLvqk7=CkN+ZI5eRGXE``DRRQM|&?!C+j^sNu9FJq?
z4h?|gh_yq*&Nx;~CtNr<V(ZYbD~^}ami7*gO47FN4vzTIhT0B}s5vw&hGSK<$*6;)
zL9{2QgQG4E4V~afheN{^IMzU$0y@~gPrLa!*rQIn@j2Lg?NApq_8QaXaSry@(xz(;
z_J}&vt%*I44s{=5U!OxAcG$N@8?-pspGDhpIM{RKQ1=h^$T-xkg8dz|w#mU>2Zy>2
zu-#8fyB%zMJJf*27O+FjSZsef)QH6PpF@o}Y<tm?TnAe_4mDY@z2Q)!0popIHRNDq
zO-oQ6jBXtYQ87kzDA2<wjaCOa7~{}-9|z+Ihk^mDzi9!FgLNP+!*Q@)aj0@YzfLP^
z9Q2>GEXF~P<B;3HGEd7`94c4tf_gdYuS4OrB#R~+aKLswU4*E|TY=KDih~xN3}K2i
z9FRNHCfOEuq*lonO6SL5MVDCFvOEi;v@pFW4GU5-(>Oh}&Bx5l5UewSC1|Cr-7Xm|
zC{dQZI9Fo{qO~3kkXdi-1g?jx+tm^*)Of~S2plx3g{E^0_&ZoOQ_AMc@Cp{Z<X<Be
zh15{1lvhPNFF~T@k#LBFlY^hg1vE480v6qrv-PUoRw>EXwYc8OAd+tY775|T|FHaL
z%W-#oFtQxOn=~#5#Q7AjZXS2ngkH-Cl;5omy({v<N`AFA^vYjC4m53du~>?TEivN4
zc^j(c7x3~9yu1@GHmpC)oX^1lOZn!J%VEt@hPvCE?$G`+AXlo_b~oJx)5Y>+^I3Oc
zzL3koTB&E<C4#p1U=Vhfm<036HID$aTuGEm#W_ej3@fgDUC^z}#rb7mLE!cr{OK+f
zOS9bDW0zOwpuCN9^6|YV9vG`a8FLrV>ZT(@Y(qbT)J@hVW#L06!8T;;FK^0wB<yau
zXiReD+SZ5*Kt0O3w>afCZ=8C&7rk0h=4|y`#^<$#k9HXw61a@dY3HT5jL#B@wk~6f
z(@x!{+8#Int^oG3Xo)Z7Q#QiyY73T7iSFR2%t>*;-_p)h(dIWyN%)25s|-l5)qcwZ
z*r_-JZpq5f+DY7vfu`!FiZoUC=&94kctK?t8J!OqycNT`PADmOw~l&Jq%tX30h(%&
zB85_<Xjy1e!FNQPF9qMlrX>1~?>J2GupuU@+tf{lt7Cmc<q}ym{m2e9?XMZ>UE1nM
ziuBe|Po5Mk?j@{!Y*Y0zJq^mEz`aA8IR);mrX*V7HmFYh8kt?R0STXr&zSlp<N|8s
zb=Y2?zZ$vYs^(yKzjLow@0PW(inc`*H7-;yYUibxR)I*g)oCy5-7UOu{!UyqLj6^x
zoK=CqwE$h~(0$dYaVHi$N_lJO$%Tqn;rhUw4Ev1dSa50u4iupUScRsN+^m4N9aw$l
z40fHSX)BdtVX~U3&Yd~a3~d9jTuBjP6E+Q?M%7zPk$Mw+=)51S|G4u3x)M2NUZ*G~
zG&1+WQ2|dXQ_7`$cv1up)OJC5xP}w2R7EJR@Mlc5;5RLwF(u(Up;r-!wgII<{4Ol}
z9-%r5R3~f}H-rdk%*xV^3KllLEzzQkH195HvDJN&C4Dpe1X?QYI$_s1AV5c_mP^>)
zY&GpwglJ2mNbCM1Q&6I<o7wJ%b)O7bH=8t8>p_T83{eUpN(qR9Cf=$L#mYZ!stw=D
zKgz&q*L0?hq0J|JKTN|!XtzA4jn;VyHH5%-lYYdu_`kHZlGJ70H0pDoLhdOh^SPHG
zs*(72wRuwN&u^KM@cq#@OiB2m8QY6ai4lVMT=d>6a&^BIh8l~REY|Jh4576L`))z^
zn+5X{@QGK~M;e*_=WK4*FX~O>PYJ`^ZKIw<WN6q4%o3#vC3+$yYHxTOwYgIaZv&BN
z8@RQt-b`J@M!%5xvmmf}N3gYwiN+;njP_}3A*oBaF484nLtSvIIPLqic~KC#+mwV~
z2=6i_;kyF1i+;KSQw!RBDl;qH0JfOD$;eaXsx{T9H>x&-LM>ZlCH;sks;aHOq!xA4
zD0A<%_ftoCJRk+!r<i+)5^S}SDQokjSXR-Lgl}0f?%fpAjWXm#PhQK++PTp5gK)qQ
zmzXhpleVx)F}%);{(##QahpOzlu)YJy+NB71-nb8BwDdEDAK-H;AXx737?CpZo(Ak
zyP;_b+7YcmYmDQL_M5zgI&O}79XFrX1}fU_P|moHo6l+IrP$SHiA3A_zn2|1tk4@D
zfDy=gVQS7g2tRcgV8sY7Fh2^5Qn<h;`-F@AcePcLQ2p+v(SqPSg#sYw7^(SNai(&}
zxzMmb5dJM~jueo-VM@X;c3)+jdp!=bITFp#TqhOJq#rS&D;D=A1Xl`_ds8%`jlfE$
zHkgiR^Q2(9*px)yF<p1Mnt>vjv5rGnj_An<D_knuCu7`pX$zRNB(5K=BZp$l3`<@6
zCejXVE)=A;nv&={QrBYG1l@$z!Qf`G(Qw72Wy~Je7Bwkm8%MDl5PE~XPI)R??SXq#
zn-vAP)21X617{poj2}D?lXH0dB2>n>Q4A%pRD;=Gu<ul+T7uS2xaetr&FH>dTOUc$
z-8u@p(y=^HDuX3b^rQ)SU~pc@Bf#>j$qU-dDR`eJ5^ZCdp7&*JpgGglW4J2jA($B5
z-dA=^$>6+QTmGcrTr)a}Yr|8xdM5=FxI_4;@ygq@8Bu_Et0@V;;JwL|gx^?UbLgtE
z(x<3tgf={bp7EIqjhTc?xAK+^<n!7ZNopX=MrnK$Ml2*hO6mNZcIJvveAbkNZxnrk
zV-564!jw%s)(yIl+Mv=d5rgwRZQ+uFvv#x+;I0!!|D?@>g3)(ON%S3~wI|B8dMrq7
zQ!z?wm-MSCv2L^y<gXJ<tF)O=U|McUq7^0s=ji)a?m93a;dAjB(}pc_0i8j+=XWAc
zo2~RiJwcCqJwYcDp!CMU%PzkR|2d%}7NVU4N*mWDbSy!p;k*><dXPx84WoMBCA4KP
z90mc$brrI(Xm`%SdG$1h2c|#dc*!h``e9HRt|ya!#-+ckt(t@|xHpf6BuEJfXzq(A
zL7T3GqBd6wU<FeWenFgK%zM{8B<8YMrz&<9I{Oe$p$S+vTIMZ*a3OIR()i>I<r|pY
z))^^-XU<>@-Z}$C-6>zrr}{Zl%|*{R5p2;k{3SGf2OGU8dsxhtcO7L~b>>V3CIV$@
zV<_4o93*a)Z&_=CP;OGzU+;&kI^I8NY1%jH8%@eHnv^h_RC$U=TX15TP;W|6fG8t=
z^YW6Z^!{v`*O-#%V=?1C^=tQL#hJw9Cdu*whZ+UzCpRW7+v5Mw7Bwlj8%I4}xgCly
z26$C~`)}H;DE{%!OiA<+IN={R?$6uVv*aD2bX&O8%c{>+U{HkSPlXDy8<&`|``;w3
z)9M=+pE*;grJ<J1=3D*8pnMU^PWp`nOLc>00YJ2mWcK>uH*Ol0%4EwzWu{1(+zI7L
zso2=Rn;MAk9R9_WME`B<)|0lZhA@b-GE*>b%E}bsiiRgE;|PP(`jV}0jI2emzTq=x
zs>DUB?ZKK-WG>S3cJ<csn6-Xb-gcPFC95J-af(!&k}CG9E}B&+1XhgjR#RzxBiv$2
zqW?y?axcVxb_EPCSAgTxU{!IsB`Ata!A5l^+Nc(tIRmFLMMZoA;(4T5<xRB|?a-LH
zewfvU(Y+A=pwd#PG#G7$g+fv?#eSYN70b7u$4yD}-+q?B0xCY~4yOo(aCKYWvCX``
zr#ADmrkaVi8NnPi6c%&L#;eK0f`wlN<?4sIU5|^@s<0G|SEC6-<GNIErx@L9P4(g%
zooh;>k4DE~^@vbG^cJ?tTgK<J+TtV)otKSDNaU8f3LKx&&Rmf2;rNs(iN3=jVb~2d
zNwF}4YptlI^U_8c_Em%Rzv03YpPT{vj<&!_0lR)w0JR(3xZs%jgnW(_1ph&s8wJ6y
zo08}|f+JENR-X3G2m_|PWqg*8=(azS;<L=hNARP-u~a*A1&&3gB>E1=Di00}TGKEC
z8JdS-Orn!8FgvvcOA5?tADAF#3Od`hIZ)6UHzm<`bk=+5)a)Yc8wqowc}ZEzB8d*^
z7^layMNEp*)jm#=N3ra!rp_yPM4Jr-tW%~W`UsZj$QknD({KR_JZCg6k_<`%dC8eG
zv_EZBYi7uM6QV6UXkKNimFU=1FlZ8+@~8cXO|SD~Q%@P4Bh#0eYQ+zQ&Y6;EH8&lN
z2&4ChS$R0lfP~M*VbjhjG0aNa{>|T<`^8uYV4F$aUMtvp?c}}D)z4~!6YbSdwzxsn
z&uHhRxUNqTiFq7UjqCz(y{GJqzM(BxLM6h+MA_ObR^Dnw@Kx<h6>Waml!RX<zQ};|
zZp4$@jDvXg587|YRlELUR{Y{+y$Na+>ve}lomv^j3!^kYq@Amx`Guw=`mg!DkDPoc
zLi65Z*8Em&0g{^h&}e41T8`FyN;_9Y^S79i=)2|@i4(k4<%iy|{!eR*kyQVSM_~>1
zOB;4Q8iE&VXRJVQ+>}J$A!rjKx`F4c{`1-*Bvt?LDD2l&$ww={p`ERw{HiI5zAJwa
z4;NC6-+#=if19=dNmV~IS_clIHUC!aToui~$&^IjHNOnCZaplve0uog(QvJ+zGftT
zUt6H0NGu;k6ue!I8r7m2|NNeI?g}EmYf7RO5rbxh-!kEt)_{c1#qXO2a-wB&^ZZT#
zrIv}@-8W=w&aBrm`FCw_qOA*Mi))$ui*{a$Eq#wjv~8KRT{UC8_GtiCKQxpRfxM?&
zMAt3vO@OQ@5n3j&+JW*Hs_-X?t=7&|(dG&w(N>#VoY%t4<-jgl(227GEa%Cl#ty~)
zM%5&p)<)GGHlyyehxICSYtrz?U_nB;S~uFl`aaN)vllP>@p2F^hv5?1$9jRkkM;4M
zZeA_mdJZt4-SFIdw6>`ZD*^Varp@$@46?~?1u<YwdcOe<?-`z}q>JV0X_&|pu@8B*
zG@WkL3&p5?$YIZ7+%J(|h2fnQM~6jkLY_g$vUsuaG7XpK2R!FA=Kle}^2qWa0tOY5
zU#D^TH6Y>FX(PZ^m%Em;Pwt9~e=@BZM9sSYd8k>V`}}^=t66_eTeHzME6NsEv%W<;
zFQqPcBavuZ7d%fj>+fm{mQabEYSs^GXR2uPw>oRH$2BXNNT6m_PGbn3yD)$C)r02s
z6;@vI%nCYeAyj$&8Edzvl~=0{;TR2S9(i#@h$ZYiOXCx&$T}pPg#GsYgg1mL<q$>a
zf%emFY@g1{^v2F<0(I$a?Nj2k<4Oj$L@ig-lZ`1@#ZLltpiTWIKBpZ-$F5yJ;pX;C
zh@LP%?XB(8`a9U9XA0*FB@PKXaDkl-l5*5BCI1e#<opmXKf=p@;N|iaaJdpMSK(y<
zFGF})gqJ07d7grZZzFdUL@eeYf=hxy-RlPt?5Ye%_(8<`fvqls2(Es*;^Ot)Z~?LK
zgi#P-x{KV<UT`6_3q!bR{(3Kf*b8>1r`71X59NvrAnw)9OR4f+WJ<!fqdQGWh%oSp
z`9+XUQ$B!|Kxo+a9Ug*3ZF!;*M7iP+ENJJYAUI`8!bdP`N<tt=C-7+x-kX-eL71Z&
zQ3QY81Mtn-;zR?8V#NX2)Xqx*@O7pnd;p&_B_RN$gA?ZsKy|UK^HC4HPil)24IYXV
z2j0iE^HRY3s3{2_ybqg_5a6AeSN}PTuG4y$x_m+o^p89UzoRWsG=wNv9EAU%otFaP
z*G)<I5Prp!gn;nGyh6C*kZ3<x4^^#w+<pi_`9C};*RAYLG=l=hLAhExF9pgKrX+kQ
zM@&fwD0A})<uFZEjHnI2=0Uh$TcGIDh=RpIxJNrL1;TqwN%#=%HYFh-d|+N79Kz{b
z5eR<YL$IVRPc(ukR~&+8wewOC%$t(%5wuN72n6X^=Xr}~7K_PA5g=ZH$28MHNN?2^
zDH=o+Ee^ytY3HSY_y$uFK8Tl0NeB?>MDBS5ad}{W=wsYR6{-`Lc}RX*Tdrs%QNB1N
zKcStMg5<|cN%%;9#FT_Ul1@~gHzbE}u2e)>+~^_rkJ|D?BZzXvA^2_Wyc7h#X-dLJ
z@N1?d1cHY_QvFdT(-!{lfr@oh3^|7i;cXs-SFh?#V2XmpLAX{sF9pI?rX+j_mz$Ch
z5N<Pq(0B^Ypg46Typ+t@?ICzjTb}4bh;qdtxKBGT1;P7>gnk(?R-iXqDOdtr?<q$W
zIc>obDzVc@YeqX$MVn7`)@F}KTFFFScq6Tc%tu=3a448VqmHsZ&6@4$C~K?!V3hTy
z&|sg(jyG_c7LRCPlD41lhGfHuX<uMUwI!M)F1v>bNN~DoeJbsz9&ewT4(U$QA>HY0
zsTBBVTbqxHnOdzd1)D?G3o!c0bI$@pv2BFqwX$hEeld_ocvRC97IT(L;o;9s(acan
zP?p$kEn=wJqbdFfaC&_-&8j_ZpAYc3Av&3y$Q3o>`Yy05=a=yE9=yC4FTaA9U&G7$
z@bZ4Vd;l-Mjh7F?<#`%$eG_ql)3(HjE0+p`fl91A+10YkG9cks;ZFctdSipaar#_v
zHPjUscXz`DjJQ5%6iArHg3G<}y2wK(ocq0i;#=BsMc0KWUtB=(4eh*?D)6hOBz$}N
zvMC7>5}uk@B!>w}n3-)C!$Yr+co42xty@5%Aw<FAAY7@PmjdB3QxZOeOH4@!2=~n^
zge&$#WeiO-I1=XclobJG&VzEVwqVgvqJVKw-m9IL0_BTLN%&CSX-YysdH1|RxgMdU
zNC{4WnYD}7{!%Fl(W-}NQCq%fL{ZK-L<`z^DTq#)lJF7DnvxKRj?XKi8}^67SeWUI
zODLj-YG3JL`etnjqcKHE<1lS%=cQo!I#Uuprq7v@5SUKRE2hi&aBz#xHjnVP&v{6G
zQd_QQBvHONBtNd5mxAO+O-cAje%O?RK=S%|MRLgjoHuclkK%3V6nmS8;&-%VibfG-
zi$n1rwDVF>{JJR#AH}bjk`O5FnO77?2*neA>pa*w=lo|6$8~FZ6Ud@;aX7Bl&P%~@
zg((Ri#}QK!0>{Va6~`r_AV$@WAM#M#uPsw_X++uLP~4-PmxAIwrX+k6cbk$BC?1_x
z6c?Sueyyme^)nuZC2fhKF+|DYFg&ZBmx5v5l!T9=ZAwC5n3`7%uZoyT_!k~}Z`GD1
z8a<RL4!t*N=cS<c22&C~dY4Q|2=wkWLeF@VY6$8=T#i(232DCULHKEHfubQq!QvqN
zgmzvEgdZakFSK#Kzt<Klp%Ocd^ZlK6riwQIXJ>8pc$|++Brwi*+zl_ulS5FovAkV`
zJ@0WGCZjC7bcWYnc3I~6S$uied`Qq2uG+e7zz-RPo{kB&>Keub!z&hjerQlo43>FM
zX<REj9_PIqgMm1Ex?IK6+S1_<>9g?IU*NNHu`yFhiwE%KOod(3tDDE&?V&L*|08@X
z2j-$O8*BfaT`$1UUj&2UrI3DJQ!tKMkNO}y7U+M#>o(;*2_IgPDPMs}7i#q~q@M{4
z2j1L<cR1!Dii_~jrB9mIgxXo?y62Uq9TVCmKOt?PDhZ9rKWby8#ta+{6M(l?&xqYV
z+Uc%bh1{dKZl@5D8?2CpqlpFM;gMXQANg0h%;(0DrrUwyC6?o*$K6}nD4N!>Mi|JB
zHt8Fsz*1Q`yesk}p0+0WkaG3EiW<(n5qzAp882J#atmH=!^;?6w&G<wUT(+BF1*}{
zm)&@|8!z|bWe;BV;pG5c4&mi~xI9n8zH2dmT4=k3$86d08H|=<FvTRe1~VYxhjf2!
zT95i%a8%M27a!?{3mEo&)F`kt9rj&KgN6Iap<5@SW6Xc@V$7!jc)fx3=<o<-jEgbn
zwDVG;qFGZCzD?CkNr+~`#(72a>ivF&4yRvZEiFL}4+Z}p57PH&3m6S43K|FLFKXwd
zK>D9dN%)Zdf+-0B=^gV5>AEnCbf$SkJ8<!UbfkZ#EnYOBC}td>pV!Vy0rYdGBz!<W
zYf3@@`q;bzy5T@zfTCj|z1qX{N7@obV~Uc-Vfq8@ycA6T)s%#f>Gw@Z2uw%k71OnV
zDK%0$;<?4cbIZEk)T1b69G;uB^HT7<!IXrL=XIte1fKT1;<@S&HXu8Kxyu9dl(uNm
zg%d@L1M`G-UJ97UOiB1)K4?lpfO-48g1MB}?#kdc90(ooV0^i@P|+}=aB(nR(9TPN
z@w_PsAI63$2?66vj9@hG0w1_vbS8$zf=_w?zE@kEXaG^HH~`<RotFaOyNJXKtpohO
zXbYB5iJdyY|3EuaMVp`Otj!*GfRl*?I>42_?dPXg`=MU+YKty=b;Zlyv5I@zyWOhD
z<8Hg2Oph&^ZI|viurRRx`5IVoegH}e?Lo&{Gw4x5C(B)9Y}*DTd{_T*(-P)$!Tzc%
zF5b}%7tl4f*QmlV?HXGuCU!<vJ7>IV=S5&_z33A|;o_>DJGJvt9OX_^6238QHzgtB
zh8yP<#*zEwfKAjSq>_i@l(tmSH6KbBhhtVdF9pXlrX+kEpEM;QaJ+h6aa;k%GInf{
zJ?%mHI&HzCp+o`WpnOg{F9ph<F(u(c`HU$E0p(ru3gu$nibo7|hQj%u_CWlown)(+
zqG)j-epov%1;pPmCE<hk0aFqJ#LV*m;z2P89Rl$!9*AGp7AYD;6fF+KuW09`fcPa-
z5<ZB3Yf3_ZxM^NNTytDb5Rk6*6ipBa!TD|v&J|bpCe}eA<KP_8&P#!Fu_*~3&LLA0
z0?sY-3g@baaPo$PQuKI*JG_3&1M?nj(W1*HiWmpxZtc7jFz+xW;e&a*DG34Qp?L*!
zMBoQoNAkp)P@(*!hhtt_s%RWhx;Pwd?YtBmCrwHCIHpZW2pn&nR~(ngo@YxO10ODs
zf8qi825qsTfkg4*fV`xgmjdK#OiB1a{<J9x0pziH1#+neWW-$hzx81Jn6^;SFrsjA
zFn&ZkF9pUAnUe5f{B2Vb0>=C26~>jcZ(Vp=MYu?Q+r#pk+LA?Mi4w+P`8Dml6fFPV
zl!TAv-<gsSSYA7?SYGpRU?Qhn^%*_o=?5ODt2Xo|ibYZ5KwYk#mjdciQxZO?i%dxf
zP#>CCP}he*rP3N1$_@_79`gIN<%=$+C}$j^cWdXRAbOW62_Mm2rX&QSJLeVAsKsY%
zJoFrGS)$QHnc~o!*3L^oFK0@^M=xVaLZEk_5qjn$?>rLHvh?gm55PBSixUkXiWLXo
z>$USz0DLWxc%hBF|CY9336<Ds<o*5HnJU`+_0HPt@yI)w$O~`e{h;~CJMV%RvBTu&
zSg}1FZ*Nr}tR@TZQ7E~g1yQ_z;?<$0FfxH$lM}V*<$J)n^UrX3p4O*)4f78k1jnj0
z7`sM)%Y*Q2<_08uum39qXh!3BXi?aFF4%Q-#f94q7cdBan^E0kItagzChxV>JlnmR
z=jLmA6Uw7daW&6o?YtCUIciG6HzLcFga{q3n^*Xv0>3>TdZ)EziLUZcra1IoteuyF
z-f>eBK6*z?NeJ|I%`19CCri^&lO~RP2);sFo@fM7t~dmr*3L^oaL$y3kKn8+34!2K
z^NQf$DS0-0Xz*ad1Moj<ixUkXiWLXod$jXX0Q^N$5<Y<c$&`cuaI+DB#%-_RM>53%
zL}2CCoj)88!~do&Q8b1qSsaFcrk$69;pd6O3$6L}eQm)KDzQ`Z>wjrys%Z1OoweEH
z<`<dB3$OWgzj^a()+=7>jOWGIVsz>Bv<23x!PYJQ1N_i_9{xS-OAxV%$`0W1`PoFp
z*$i2SnpvzbgVqVUR&HjoIUA7h9sIXU3zg3WyQr?X_*^$!fYDuJRLz(+vqoqefOb{Q
zd9SLOrV^pkgpKx+C|z7tlhe*iagG^N623J(WlBPX3y;hzjsuUtZcA{sMtD5))gFGY
z*On$4Ka?sCzt?K#rQqk9lJN0+)|7<6@3;|u#^K)J!Sk7!O3`lV@o0Jo{+_lx(Fmek
zaR~mdc3ujCA0!g<80;+sPgcl=)#u8GT*rJtTdagCbO%PE&c@t@9%^2__E*|@Dysa;
z7*+N(Od<0K1bSQC^$*S3)!Bl5&MHsQsef{qz1nmK%i<lxDDEQK;NYa4!OfuDMc8``
zNBz(pyj>YM|547TX}ZfQV(Xc-&GwIkR)@xc{lwRXc5jOMvUSO?J3{^0Y2qbk&y<n;
zfY_TB{t`Pt;nUH*xm*FdJ!li~npH1b-fq&?i9*FL7D{&0y*87}rAziXKI<o4FEi-?
zopt*`<~mZ!zz*@aeX5t;)qG5lNSvOkmS@tnY&BEQ=8=PI17Gqi721{D`+P%|w_l_4
zkR*|S+EyI1tJAhb$2tnjUz+X;*avLd_O@&*;zP)5BVvVzKEbTfbA@`|I#I67luKey
z`&!doSD^>#T!qetf}O$qoT9q^7i@$`ZU8UCcv*s%Wq4VMmo<1<kC$ukavff7fJ<nc
z;4*h0o1yK&U^lr1)5Y>+^I3OczL3k=CHQMep_DB)a<=zi5H>lRw5xWmc?3LKy-)}5
zSuPdlAnkB9bIvZ+s|E0<Pd2wWS7L?>@iK&$#dsOP%L=@##>+aqY{1J#yj%|#TNK6T
zur$9PF791g?G2%^;1JIu_C((|^$LEd%3h(XQ1#Ed=YrjQS6uv7H(Wr#JT|`-^-8g;
zfN%-c0rV=NPPTV?b@roRM7>xdh$6<-*{8MhQYxAk6N$EU_7<lAW#Hx?YhHvBwH!{*
z&cDW40Y6VRO<NxW!ncR?=Xy`MtjuZ)7F}yAN`wv?nZHtP*R(TLv{^AF;m5Eu3`nol
ze$A=OELBjY9Gx}9m6g;*(3aiKNg1G@)fO}<K-Z2kr>RUSm%>w#fYVeaB{@}4d$Tqt
z3TjPL5`9N)#eu@q6jXPmtZfxa>iNrVR02lmW7<L`MQG)y&sC~WN?}-`2EiZE&R@ah
zL#8D9j?3`=G6p6}>)Q>!U>v@zEksfr7L5kDP|C#@wewZ<{{>SLt@<~J75t!wYbXN}
zJ{QML1rhxM*8GMWk@Fya!;3IBT-Tcj1Eq?KFxF}3rC8BwBGER&Xd7S{cdLwWwDwrJ
zQH}7J%3Cg`yR`+4E~bi7-DRWH9!<>wKeXYA>MQTi&Ro&*?VYvU`#5gRqj}gh?VN3u
zY&(Zd=fVsgjTR2;+9hJ0KcOvlQk}0IJqO&S&e<vCE>$n51b2#?e2F#>is~OWCE+`$
zlZ;-kgT5^%isd@>OJKi)m9hN(7!glZtt=jJ7e+1lXN==3v=xvP$D2nhLV^@Z0CAwd
zm3Kw-BBfXY1=**yxl)jwGbPb?WXC;ZGbM-&bA{PLu8}EPuy2M~>{PB=w6P)Ih5^?8
znsI)YwmOpHyw%4!Q-YXM$^(Daxd$v&uBK?Gf4)_H=sUETQ{eu2Qxb{cHm=j6hYDQ(
zF(dSc+7cv1XlPXSY^kdMw05qF>OVmw+6D=|ufB%8oq}4NU+@Jh^&8saB~|L8QSX3>
zh+%}UYUit{^~<Ite2e}fBh%}uY4x!}t%jWtFb>_YYu2$0^xU2gyQwy57?s6VpQ2!Q
z&FBpCmV)^hz*}mDc@x_8$9aadSx^94XiB0LAcOXi-^Ak5XF$T|f+H9M5<V9k!Wxk9
zx!7iE?>-mYT<MC772R+Fz1v6Tx4F3)J8<L>Qq_9e!pQ#1uY79_yPUAqV&PEQeW9}H
ze9UW(KB;ZO(e4qYj%$uSuAP@s;vOXu^H|dioM==l<(eJRA9Q$&r|iw1))p+G5~0Jp
zB63pv*PM2yiZ*9WN%&>9#(=b|V2neiwbVc@)S%fDH1Mz;yKPf3F7MEmFDWjfiCU;Z
zqXx@YO0;Lx@apHac~D^bS=Mo`%~($F!>cu?8WrpgfUW^j{-JUeYSETZt6d^i{U@}=
zPOkcz<c?K8CAd>c$j7vKP*ndBQxbj&`4Ew4+fimZ6325lXsSUAFrhb$##gn)NQ%Z{
zI`}L_lN%zU;4f=utU&NZQxdHZ7(@krV8Lb3fP~LQzg*>_!*(6|hB8=Q!_`#i4O_zM
z>w6P;EA_p*cy!vXLk|!0p%lgy+8HaBFhV5evGQMpBbZPF9fD(gS~MGc!<yZtEnxC8
zhVy=)rom%n)f#4pcE*Zkx0;ghtvkiwv<n1G-JIOXDH4U&mkh+?+QK9SVq{cQ^KG$s
zR6B14i_@kg`i{l&hbs{4V6$KJKetpo5$_q1muriZ6p<C94Z)L)z#=N43)<N$pqw`)
z(RWam;T*#Dn5eHAl6PtgloXQXqd0*P=Y5F65`oCuwR2Yxd7CMTz9VwAC>`LkPQWyn
zOpSu*LvRjlOC{1NA*1veZ6TAQv?1WiD#RrP(^JHyP`2M!_9<;X6uf@lltkb0YBPB`
zG^?sj8b;|Kv_(sb(wfoW1Zr8Js%i}Ib!`?DfWBf%qVE8;&JhnG)B2JjS$adi!rT!t
zAwW2{2rL$9=dEBdXi6e67RDVjH=L^2*}~KuRyiCQ*XJs>1p}4`V8;DSp$<z4LI5TC
zfI-`?Ep^gzG&)-IxE8S+a*e~1Ige|_>y2ykqX2muk?7E5>FH7sYLtbRf?Ned%GGky
zT~M=&Q?QKSxI0jQeHb&vBHb*;zALfhgSQYG^z0fFFQNC;xCgxHlZ7-N1`|guDwqIy
zou}|}1}~F%$-yPGY~Tui*?_wY8m|;miU#a%;I(BT!82VfByb*s%rmsQK(1799C##v
z^4AIM(po0~W8C(6e--kvk6g|c{2-F<@iJru)Z^};H=2teUAgzf18v}VCGg|?I9%H5
zf6>D=SWt4fQOManR()9M&qOHQsUdr~`_r*MoL>bFRG~pVlc|8(+@byXOljIKmZzKU
zj(ojdsqG#gpN17SjmfcWd1f5!rhqGNO7=K*hKk^>I$pJlcBTf)Re;9eA(*H%naQ4Q
zx_4`kfPqRFp&W<RN#ogk8Alm_*22Su`u&Z`rh7|rO8DJkm`@6$u#>Re7Zg?ZX!5Ve
zCt>Bz_)Mly8Xsf9$M-*U{Pf8O_C0+1f#ZkAW^zDZE$z<F1AL(c?ZJW#b7^O08l^&g
zuE%z@#d$lL%{%e(OL+NZxY%K9dmlV%E#d)d`+UgS3_A7venEEd1|(W*Y6B8J7u+*u
zK*HxDrgze`|7K7ub8hJ>@E^0|{7VFEvisHQYPaOjC@grysooLI&_CDCRjJ_r#FRv<
z<_*B}@#kSt0}?(Lr%k)rkqfBv4qOREvE2|=+tCl>Fm&Jn5yk{#P3Lpoxc10sZwv~>
ziW}Enteux)MngoRt^RsH#JBQPDO0J;!IVRa2BBN8Wh(+${u_~kOY4}nz|n!aqFi^?
zXpM4(se=K&gu49xh+DN8P&B^9l!RYoHZf?u?($wir-)dGaMJH7vDi3h<!)302Ii!;
zP)UJVIXc;ZvrTv+uUrDH;PQ}m{t7NfO-b|}mx0rEjbf`17~WGxU{;&`qzDX-)<yn`
z+H2aGDr&Eol4w=CK_%qZW9$YENcdbVG!;bDV-H_Bul3l?r|eR#P%q5dJk{cWUAMF7
zjCqlNJ#Txv5d_W7`D?GHd!M$z(H4h-$JKPds-2f&XzwKw^I6l$nMCb$>8^}Q!NvK%
zY73lDxlq$#t|^#71bn4v9tZTCDMkDL(Plu=_<u1a;TNhuV9<J9(_QVaXpytL>|BA&
zKir4dDIo*(|7r^v0P2m)F1!3P{P&Ezuxd{=s)eSb6bE<1sLw7fn}ub~9=i%~|ESH7
z0^GMvN%S4K@L?|4EdoQro-Trp%I%z#!CP}<Z-R9dvuj6#JJZCYwo;oD1+`_SB>Ilp
z#?w{k<FNvM(4v)PkwIo$Vn%Mawy=R>*Rix+H%i<Fy(0&ol3S(3-J#8kg5B+=B>Ils
z2GB;S2D=GZN9|0t#G@~=)(922jwu<nr?kaPirO`Z8u6Kue8PB(<Wqs{32jCc$X;Sf
zqVJGJ@5CW>5yGr<QU>kEwFONITANKfB&P~$uh8a1LG5W%5`9N)6SclW<%_)}y3NDY
zas#$tdAJe|PZEB^IKEq3^rSd$9+kZNWsZF&hM3HI3V2rleU~;%3ZU;WCD96~LF3PF
zKXT*3fP~M*yG?^G(SA%{Ij`-<HN1r!ZXJia{fW`3aBsWw4X?5IMQxa(jSr=aYb<_2
zJ1@nm{)$M<V`FjP0on&4tUuR#$|d;!XbYB5iLl&9=C72|A8Kc+X!GApN%*DXpBa!|
zHv~7p;RlThMW)o4fC*{Rlv`$#bWF+c+_0%PtqH}(-D^gPPl`#APuk^54hXAm^*U`v
z6v(bICDC`tu07c(S?qkEv#O*2abwalY=^W(O<JlpjsmYK;x$z+rI6QDc}i|d7BMck
zUz-&LxILyMT7fgD%>4S0{igv5pNqdVbsC~Ryk~yvLz>a#&0z`#+0MUswcsnX!HG6C
zlr63nd|Ep%#g^uXMB7@hx2GPEOo2IM$K9|>UmbO{!7l=bp_w2H{3%|&-5FLW$Dg=$
zr`E)+nR2cHo6h=Ew~j1e@AF1enEb-VFm+YfX1n162H~^wTi9CGo~IJ6JzoIx1z6{Q
ztSxPHF+{23is2t==cN?GKO_=ui(&7_=q=hH-Fmo|flZ<zxW^W#=xZ(GQm~fLC_Xu>
z{oC5ANT_!A`cdLIMI2)li|tMdl-dVL-_+(t0p@F_B>Y<L?-|=($F<7|F5Xf-YOk({
z_l(i9&Ao|Xm7?LU7$rcMr*^w<Ez!<i0cF^fMBhOf^M`S~Mus(88~fxtf@1~Vt8iD3
z?#B%0?b^ynTI9xqgHp1Tr4(soup2SLxJ{ck1?w?W5`D*dnN*2YrhV#L8usdI#_J{8
z0wu+3x!l3Jnvxs|b^5cL9@frXLFA+<iM}H;LW@XkOT_3cfGBSnkEgZ8Ns7m^QRYXk
zt%_(3&S__^z%gq|qVI4l<tBVI8m%uGjCW`YlN5}RQEsGr+$crk=e6@zu=rV15`D)a
zxczjn<r=Xs^{2IkNQyz{eW^d8ov)(*kC~Ea)xSYY%Wtf4FmFJ@=i<|*VW;RB**?FG
zwYURhf)?kj@EU19(uOPA(oovCM%oXw^HQwqUx~y#Hqut#Up|K$D2s{I;#i(=(AXvo
zyVGlK>P@JxC>XXv1m1A_WWigCj|@^fs@H3?py+*#DG9$ktt1j{mkOA!Kv@q9kt&&L
z0Ztl{=V9S?DzGRd3{r=54AdTN5fhdK_i8u`K=O#qW^AEJ9)+g;=<ptGHWaXSo08}|
zSmSJ>w0~iP`aQ%_M+=T?fECA+WjOgN7f?^oYq{EAGq5>rbtDCL>!>eJisVTNdEgG@
zNufNn@j_d;Guq54a6e^AqVI4oJ1EXj#FB}yhKr>7ngM%8TcD(XEgzK}VL2p@lmhrF
z?c5bae%zEq-x1l0zDLC0RVs$UU~7p=p#JBK=&x!kBq^fXsJ|;Hkt~9>#AWck+T1CK
zzuS~V-w|Ja(#E|WEm-R;s>yI6jCjwO{fV|nNikb7$~>h4JSoNSkF~Q`K=~t660M*Z
zv?Khc2#2f&Bz!KuZyGp@rpQh6+Y}i*Ax?h?S(;;cjgFx$y@`oYuDC|WLhZa1JGzoc
z7&JPJm%lC-8noJ+lN0ft3+)zdX`>6RqFESN5Kgw!Svi}uvsaXTgQ>Dj8xUH%Kt7-?
zU{d`q9__db<RR^h70vE9CE+`wJq%8-$I)6hdJIMVtuNWoXS9V$3Pk)akdAiV3Kr9*
zB>Ij;#4e8^I3nINBCpdHDJdd}c7c3OJ9`C`pD`uTcTm)A9z&R@uNjix))pu!BuRFG
z{7voL6-3@=N}}(Gtduphf81tEhf`z<#^tZH#Y&3HDzBE#d54omjCuW~HUkPYe{M>m
z@6bfAwh?%RLefO1>HbJt(4=5pJ6fZ2e`%gE*8bRK)ZwgwA82!;p!Tn(B>Ik8V4?%e
z*07@HYP1xvL|<@$yZ+`rH8|WGNBu+ZU|vQlYD3S60=Q9|AqC0}rX>0f<yx3VPn-VX
zjJ8vmnMx6U3NLHf9=B~OhU}oWcu9-hy3rc*NAuTe#9yk0{0SZVo$>p$nNVQ5&y+;p
zVd}I$aVWg#l#szHXbYJXEWM44r?mM{@XDH!=sR9Xc3KVLmgED*?={*&C&kZfYu2CE
z=10Ntr%Xxo9mmzuJ&KT|YMp}ZCBuP9n>38p`?W<&iq;y>HHyxjYO033DUR{iwOLRA
z`V~_WtpFKxt@^#Q+}&hA!sp^TimBQTY#Vn1Zj?<7*gLlli<$~q*n=7N<|;%@b&N~Q
zmh&ZTohP-N>%4{sZ0yF|!rsdPZWR;yTWwwx6Z#t>VbC#a+E=(jom(6(w^0dL^;g`|
zuMl))Fa#ClRxPpr(Y?C=w<!s~to%D8*6R+$RZ-1_Ff!3e7@N&~!)A5l4*x1TquLxO
zg~2i<(RXx~9Ij?6c{$@g3`@&9#^XV4QIfi;rQz-URUi&)XRQEnz?4KQ5C*l9U$L=o
zG$7$~5mT|5I?)kXuRRo1ktuK4BwnVi)TAb{%&WQD&e%Vvow;HZbyE_F;V_OfZt>y^
zIHUf6U9n;J`%-q!f(dmGRbe6>PTt{J^er7QIv+BMzo4y!q$u7Bm7s__GDV0yq!hR!
zyo^%dgdaLg3bu3?==kmYpVQ_`0r)LMqHQeFHas*fMN1ePQI=YqYWN-N{^Qy*Ce{7Y
zQPyzV*yE$xSu5)Ouqg?@{QQn73E!zQ$S*{vx{{~V;3P^fMhzQ9WC}Kof7I4YQqx#9
zTBYen*t6|*l&a<L+u95$2J%f)625_OeP@8KZy-EX#DIj)#bu^l^vDG)5`XdhPWD;l
znVY|-OSqnJ#(*(4v@N&xrV)fP#!dX$q@9;yQ#TNawm!Z0OTve|QXDS3f#<Bq!`i|{
zmsmxS?y#7g2PIZ5rw6pNRdl-7l!RYG?qyhd-H2Qw>e8xp8V-*N1JLr0K{%@|N>UJ(
z`pZa(7okNzV99G|tpH)0lIS}S>ayKXx3>D4;drgKKuO_9vZ~kB&Rs#|SyK{yM<im>
zPY9BT_l(I0v_(pa$qHWCi-CnGw-IsuZ)j()fbwgmB>E1DI_oEdiTau$`S02SC52=;
zt?%uO$X{sZt|0QKrX>1~$jZQEAPcr)#>E!ldL%Lh<MKmov6AAlYBazX9KAvd(A3KP
z-?SM}p!sK05`Bke1@%FKZCbdOIqk0#MkXo&19RPNeF|FLm7|g?nD!&N5=!;!`fIfF
zS8!QxN}}($^mww?er-XM7NR!0D7Qszk2WU?YWJ9uXhqGSJ?b}Uxe;VQ!sp^TQ@0?R
zv`@}&lXhJ0vkboCq&;n)=WV&fhS}D+aci#JfNs%qC4L=pB+lJlYxikw{GyE!#gA+4
z&S~eRnA<FoFlg->_dM@B%99=~+z^&m0OORgO4Wu%d^q9_?z&0<;8IPin3;q_Ia{_x
zGo-<;{pYl`mJlI#*Qk(<CU^2`VB9V(C|inTqh+WmDVyT`-=fW;0_+<*1Kabi>FZC3
z!$JVQb8yls?QF+5N-;x`YJ&6(*GIK=krb{Qpux=toIra5d8WC6jF045f#$>7>?qLu
zjwuP>xqiTugzw_nK)Q1AuO}|rnv$`L*akgf#Y`4G0lEgZqAG6ki2*h~@;rsaDP&s)
z-?OcKTU)J3ZEZXDu(3=5D<hdOI7crbWoqvhzNyWgVtZd>$l4w1+56tj8~rlo`vo{1
zS)fYzg}aX3WS=l%OH#dw)0OJh-4y8^fOFx&1?P%`7}n-U0cpULgzq305Q(-$({upx
zhP^qb!F6<{T&q{A<*Z$+m8-b*Tg9%{3oy_cDvC)yU?jI`3!Sv=jgER;r$Sug262*W
z1;;UMeiR&UH6_uCqk)(99X%I$0}?(L{c`j#dZ1Ldr>iiAFI+u3hLaTh3C9i&A2woA
zhMORL*v`75#0HqrMk}cS-aQ(SlYBk85t36nd#D6pQzu_e(KCQ@Dwg?_HlvDVK0zef
zhW$PF8)I_%GgjWdlu-U?(_`9{1Ut@-Mn(I&A2XakuC1k{aKiqqfwd&j(olDsltw}D
z723Qh2tI8}!Y|cxrX+md!gkb8-(p%*Z9YZI?EDS31sK*8)K*iCdZTJX>$7FVFX=~Y
zVZW)ZzoZs+(<pOKz5>gIJZ>!o+^3j(*y$!>@zVRWc~UIvS4~OymK9T9m}0t7b{(J>
zfn}6-F4RdAt`XuAGlqYuEo@Q@uk$(sFt{gfdEfN5Ug6KRc~P+Y6H^kc*clXQ-z#vZ
zk^u>yi<)Uu2f2U=G3)2I_i*4ObZX6H!e_`i4|=_VBV)a3rl44Hy@HFi^HR)ch)A>z
z4|?B9T!~H&B0t>2F?!x<WC||BW7+~omtjS@aG*2xK|+HM`D#Ct^j2*K6pe2&CE*vD
zO$=JEXUGg4hnW0WIcFEc{x$HNVK}KRLQ)upM=@T8b6$W4p*eq~>>=%J73Ci_CDC`~
zue=|6#LLw}7G`Om;9$9>fgPEG0h!enD=8qWM)MwD9d=o-X)~ZeQ!ypccW7X5*;1}h
zFO*Aw4Nu{Nv(xH;Rk)mVNXIb!thR_rVY+%W>+=X+4EF>~%`lHjIeN1;8wyxWQxbg#
zYt^YrCTm;c*6G5GZJoBM3oDFMbP|T>W7>ixg$UO1A!n&N@Rh0yz7%XeqMg5j&4)}$
z^c|Zu0uJj`qfob@_J<B3SVbB}r(Gh(=gZo{CB<j$r~oBZL+&635ZoykeNmeS1*0#R
zlIS}|!CK}K*k&8NUJF2xDHxrF<9!N#AwCP#L$i`E1)3|h8Bn0P%#=jmp;>aQP|MoI
zVy0x58!e!;ykj_S(H13XVOcsl6XHby;wJ5^6(DXjCD96mLG#pa;c^4XfP~M*Les)7
zTDT|Yw}rbVYPEICe*4Z#yasPp8>VO@Ln-4Lyl1rYQmpDpA~BB*-oWCH(0EzkIhWQS
z*A_0JB0Deoc!hShicX(4CE=HmIfkXzP1=@)9U%Z(-Z2R8))plx2(gPk-ld(j0>nE^
zN%S2EbyY_Q3-vX_@kiPMC50o&qK`k+&Rs#|)21Z)j!49!ju0df?-`TtYKxQ<lSGR?
zzNMYL0?Ic`N%S2QbyY_Q6ZJJivSMp*;%=o5c9Sgn7}3sML1eKhiM}HexuhcmN@NPg
zWtX;CNsCItMISq~8Bn0vYD%K-(DZn5!Q<M3CIw4(alxb7oG7TBHYL%DnnBCQZ#;3Z
zZ9u~3;&D@7&5fsqJ5n!a)1}5t+AcwtE%Y{BY;JLGfyTy>%bgAQv%p!0KZDLe{26w3
z<Ihs(Mf~t){JFx}&p#9RbGh>b|LowO8~Eo8|D52T9REDPKd1TUUjEt2KZp5e8~$A3
zJji#a_-7yg+|57Z{4>cv*YnRF{&}2#j`B~6f9}MeE1XC9ZX^HP!9S1j&nW-c{Bt}1
zyaa!)aQ5=ujr?;p|J=nt8UESCKU?_c5dYlDKgamze*U?Ze;(qWo&0kj{#@bQ#&_58
z&o2IXihnla&lS!!eD?_d9Os8)_;ZzG;m@FR1b;@H1NgJRd6*xj`R*S4x!l2{v>_!P
zvv*{`!SgSUtfsvbjtn_CBNTAQK|#2~I`GI~!(EDYQ?s*RI+J+Z+{Gq8nkq~O9xa1Z
z^{Q>B3#Dwaft{Jsyq*LzdmFZre*rJ=z{@+~VmoM2`0~Ex@Mtey_T%LsUJm0WgO@B`
zY`jdv#U=y9ul^k${SYrd!pnc)<?<D9xe_l|;bj0XLwH$)mnCqq9keq1{#~o!(J$fU
zJ$QL9UVa5HzlN9h;pP2!`2b#i8!sP(i|wFA;rGL9;n9tF*^HMhc)0~Hx8Y?BFI(}l
z9WS@zWfxxV#LI5H+>Mue@v;Xm`|$GrQTHZ5mS$IZU<<S$B(a!PXlu2$mehLcO}$9n
zT}x(dU6o5!R(17K-LGH1{4?{te)(SZTdKRnW??X0kb=f4VdH^;5r%;Q!+>ERARr)6
zpcus{tQf^;Mqz~&R#;)ij2UCFWy@%obMC*~d+s@R`~SbxvO<y7FZ2E9`|i2toO|xM
z%fF02j^mG$@FN?d89sh(__9~ua6@m1rh>?S^&0s5e}o^|5KROAe#h(Z?`RVE_ZPn&
z{{Axj@%8xQRruqZ@W;2{k8j5xuf`v*#UF3LA2-2|Oj!>;f9WRp)f4#RN&K;iKeq74
z-^Cw4fIof)eq=*5DM0@x@CMP|;^3QbU)!uZpLD0$=3+3~QWk(c|KlJOJ6lDY=an5;
zze209euXw-{R%Ck{MGZyI`k(r6a5M8MSnuW(Vx(8@DoO|=amKNPiRW|6WWyigvO;m
zp_S=RXm0uw+MWJ{2B<%wCF)OTlKK;xBz{5@eO}q7{)9%VKcThiPiVIK6WXu-godm?
zp+)OYXxjP{+PMCN#;!l1vEwH+{^ym|>rZI@`V;zr{)7&pKcQ#nPv|206Z(q&gifPB
zq4(%d=tlYz`jh^Ij-@}Lhv`q~YWfrUoc@H)r$3<=>QCs7`V;!4{)CQ+pU_XASB{CF
z&{3aP9;!c~i{dBr*yojt;wN<3=asMOPw2Gz6MC=ygl?=qp+D<S=-B!bdbs|CuC70!
z&+AX<{Q46*KYqfY<areZ^d}4l`V+<l{Rsnv{)CZ2f5MQVKVj_9pD=jfCyXV}FAiR{
zGn#Bd3{hjr?AniCJNV{&kjb{lZ@+$Pvez4oajy!7nS&Sg)jzM8PA2p2?8@HeWOQw~
z12PX@x{-hS(6zUJKt-h2yyS)(Ru5h|8*GkXukn%1$>r>t{(LkWO`d_zFB!n?aC7*N
zS8QedQ4cq4PsZ@^Wm}W}xVHz74F4HKsMUjS9L&yT=69|hyu91rh4?qk#@8OdcJQih
zZ#)?<>EA3i4_-Fe9A^DF4wAcXJblCB;N|_@-gqa28{1VoURHdp{{D6S0p9xt6ri>E
z2s}~zMvcg?DnCK+-NxT64!*X(zmMM@{s%~bheOcC@UP&%s2+x2gkP-=|1<tPc)4ox
z+H`Fn8u|_M3~sdV&9ilA{N4<H^UCr!N2WXQdH5yu=zmo|l`e*V1OI(>_+|JB!@}RH
ze_&(UO`!0iox2|?>A%d*Lg5L_LgAn9%>ThG6h2`V3jbgh3jY*2!_5aT-tP^j*ABiF
zw#dLKsrRYZZkBtiuN{0#{%dvSu=?%p2Uq7{Dlf%XmX5M(2Y3lIBsSUB&2PW)W;kV)
zKSLzF{o28|p^cR?I^`qRlrWu*+;kh5+8ZS@9ef^o1@}|Ut{oI8gc<#clH40&hW+@p
zn{OT}(eDh3?({BCCtc+b2k#J?Pe6<>=UN%Q6&rB(k%!K$Ed$>hZw8y6sk3LK`DR<R
z4A9ao5nt<+(sSiOEJVzsO6DA{BD(SB6d^bE<}i)fT+B0ozboa*ToZ^$h#bTG1tv%R
z3BI5tkqj6J9;>+mT;7|+g@6)1#|N|SUT@ytMe|INd1Kypu<K=avIT_Rlk#w<L?vAA
zLlKEA43*rL!~nlc&`;rSAc}5vp-sJJR31pCLVyXcCB+N&r$aZ@SI#}@jB-fA<@62&
zvrROY?oKw&V7!`4lMSabnZrq(1ZcwT{=s;AlBgilyVJ}E!3g{@FzMNRy6EExh^<5(
zh83qdHUTAk9vEfg9XKwY=F|p}JCb@QM<WalH}|8opi<%y77t7z*XpU!H>E*0R#uv(
zha8PCI5vZe7W#9@EuYG+%<6YYnq?5soKL1IX-UKVW^a~75BK`ZWVk;HGL~b9`$~p?
zxUas}DWwyY#|`&fNbGRWpL7iO!Jxz?5e}Z9#GmZ2pcEWYxsdY2F(w&l=;&Ug7h*>)
zKMBvs#UISOK^VE>!!s9Zs>I`j{6S1}^q4?&6Q2iivGw`5^T70xUEo#4OwY*9AM1oh
z_Q)KSOHRm9`NMLK8a147VNt^gf2<=6ClLcX7i5}@XF%f*cFci28{!&_9zcp2Ae|TI
zE?7)OJN?<^V*Ge}aJpE1*Bn0Hv$XM0^ypDafY|j8_h?^!t5b+3j;Tzy8=5KFB1q7_
zGalM8Y#gsf@BU=8*c*GZ2FArm;@+1)#l|FRIRs~f279nmd+JMId{mOOQi4$qPcJ6(
z42o7?5e^j?;c(w>ewNOYR{NCT8By)WIyn+SKbpT_u{)klo~dmUcc<8ddZA;EN0=;;
zp{=e>c*b_74gyHHs4=-Ng?A@t1HVd;kKk{*;kmip7&9Dus!H}_&g^E14D5APk<uFk
zkm%%;Fr52q1a>p^VCku&*bfD>i1&r+1GYpG(^JfZrQyq9yAee;M!+huc?NF#Q8{_J
zFI*F_1(}wb61>c`p{T(=P`nZ-$vn*p&Fu-UTE2eBOeOA%DFrYER7q`0^Ub_18{(D~
zoi)8RTxC~*=HM;CjEM!L&T{NT8y|%<Ngc$7gaQ3|N>exdhLT6zTTLmu$}-{FIL|Ox
zJx=`SR{V7UFQ-vJ<lxy5_xora-V&$7?qWU|!Fousu;E@0$szM^n<kS7cv9<>*KoM%
za%@ns$8Av=`S<eYD<Gos<?7en$+(L><z7qj@bC;Y1`mcssGNj@uW%l04jXXhxCsMh
zx3G*+i;ia|ZO{?%2&E&7@c>p+vVu-6E^%E%fe4A^;S9P46oS;ZVJY)^b`irOR1V?P
ztE;}VwOvaao<L{xj0r;sK$tBE)IwJl?2ZtHyHpr9^emfRo($BgM6##GLKheW`n}UU
zH?P%Z&%&mu@f?A`LOlYMtp=@nogE0srn++!0)JG&@AsxpFJNV;roDM)hGy%rp&E(M
zIHPFHvuEes-mE)<I~2N;Z46GcTHWDEJ8eP|CZTp>D}y=fT!rmw-M1F2dl5V67!n*I
zv{ZZp&$g;MM=dg*l^H`tHWVRp9487@SphaLz~$hzxOnC*1{VR1&^fdXJAJz2`EGYK
z>DS^B7dK59Lf|B>Q=$EW-FCO9lfC*wecae8;t@)RVB&JQHyUhp7t_&o)QJg02>>n*
ztD9Hgx`69Qz=X*OWJBCqt~1U%!x<-LX8S!bpvknmx!B%@+tm;52<Gs@Q)UKwI<I?V
zy}d$atQNRj$VKmW#}NMgV);Ttldd^^9Gbf}J*pad6825N1R`oj4+jEbo)rWB{f+=#
z_8Oi9(7hHhPk?(T_IHaKb$Fg&eB11$drzR0WeCtwD$r7(>7J}Zf3H&kkWN@u0WMUn
zmc)=*nJ0ou&*qa1wzp{=6NJ2A-NoID%3<9GCrP$fY!0P8u9h2221HqK=Tl4>CWe=%
zhAKTSmt#)!ceDOeIF*8-FR+hBlB(-uYEmwz2GWBa0!(zIQXk*6UXo`Pi9Ay&=}~1$
zguyXo(&3t_B+Vq^83Uz9bDI`cj!$6xsWP`Fs!8o70!(zYl3Zhznyl?d?UzWf9|4~5
zI~1z5ige6cU#c0gn(K*t+>F?dC2|2}lv^!RyNv)7wHyxDUqfU(dAIZ^S-vgmu!m#H
zppr0cFR3ida%j0DH=-IWk}$2rQ__;2?U1T)HpJtCI#-C;{hU`-V3ddT<zQl`zieg-
zcR#qXwz?dfC{!{aPw*58s;_lQ>BR2hwnK3tBuDV*nm_5t5aPGOagmX+oj(ZM>5ct&
zL@|fUErY(W&Lx^uJg&eW?38$fMcU3|F4d&tDP8af^IkHyJQH5=d#1Q(laps8<_{K=
zjv{UoK9T!?xJ)~%OzX2UYb0FMpitjxJf#9opXW%iJL|YCvtK+}KY!4fAI0xv<3dd~
zX;$LSjna3r3B0OBKhM0BKNehr4sHkKGD!?hGaHr@MQj}t2pFl5CoAI*O1VeW_Bk#}
zXC7$`guLT$MBX6~FtZL%y_!F1=Nx!9fzCNP;i^(q@>XdF-qs99(L5`e<ojmkasPT=
zrjJfOOi7S`c$VMIZ*~kA5;9M!iCw5x;Sxpsz>|`@o_Ay<r%5331$38SGlqGhh3oMS
zAwU$iS|u(Ky8vDCO?qnBkf(XB$93{la3Bne;$*}m%O&5WS4Vs9$<~>2+{S__nqFGN
z?VQ20lhV~Tx$2{m@mh?GK<ueMIoY5NNblu&XSmYhl4$mwC+~DU?#w983gv~Gomh?I
z$I~q!IGQhosvNGClUP=#E7{1t9Ih-l$rxtkSz>fOE{*cbF%<@vKt0yiVIz$A$0J63
zCmD0x_hhK9=k3uSuO!l=f3Y~^+dr?5k97A2&ko>r=!4sXDFA=S%mYqu?BjCz#%`9)
zmmwyspxmfs3ntgUaKpadk&yF{lnwEkCas!?VvJgPS3xbJ7^A;zs^aeRuw?*s5Y_xj
zhQAn7eXUbUCs8-97{i5-py4UT@FyLq&&hl{$*c>7PS`Us_8yJrQqAb^Syto^c5Gat
zp7^2zmuyn<I4gh9Q*<~ypFEX~2k%!Ky4-^Zm#O2Jr`*6F>y&szE0LuSF3wJ4(zui<
z6yXvzhZC4oW3gur#~+i9Kn060T#RWNo>?@1P&p52e{AuE%Q8uLiZA>@XQ~umeBnY(
zHfi4Cp0cDDUj$y2p?D?){IOuV7A(GSnIz_>nGH+PB8o2p0V6p}a~oj;eoW~@pkSsz
zp3(<@(oTNx21Y%?zd<g2?8Ek}ogLUzeC^=%VxptJV2<Rs;+z4W%ooyKTR*FZVF<s8
zM)T@V%8+tV#P9FGYk6Sv^X6nWm|yX2!>L38%3EA0L>d9Q3)`YDcS>xLHO;MPs1}(5
zb2xoXp}PI&bz+B%@;Apq-uYUoJE}jc&giLoHFY1q+bgnD9XIV3Vqi0j4@7vtw1J~X
zi<<_DH$l3Rx{@;&2mM8-WA3k37Y`I*qz6yzW}|&JWsMi6a|c@KikASV2S@va)4F;X
zHo)xf^P7j_1)HOW+Nx2NRpMoI2o=Ke;c15No5^yEXqD{>@x%nSA|=B5l#*s2hlz(U
zl}alq@iKCy&IqqHnCU_P6z`I!;UQkK$xdxJtJCEs6T<N%cziap3S#xh(P>D$3=BH(
z3PdxOtdkeox5BQrw-73X<q8fWP<w!@^IC~EYHnJmcQp^f?@VuNEBEA9=&93Kb?8+z
z2s@=cWhGw)+RJ$meh-4rYz_MJR&+;qQYQFDL4q*bQ2lMhmR2aL1)@6LYqKF-&){E`
zgSSGmwhdM^2)px&`(!qUcIRQb6_%>BUt5(X9m4i(zHxMaun!kBjCn~U-mG+nLo4&~
z5{gZ%B^Sc;QFXLIouL>FHmAL*O4n<S|8@zbwr&|I!ug{9^VVSYR1-6>&W+dBFl9v8
zKCb@u%m7Y1^e21!lQG=1+9--zoX^zktd7KsFki!0#;c>64YgdADQf3LCKJN(#Q7=Q
zJKWnGsf*Lj<WsO()0yb`gM>&p!Ag13NF)i=UQbIq9<P_gz?%7-a64NC*A%yrL~Dl8
zUL%Q7SNQU*a#OO-#*{7BIUDObB5{c!)peCjH6~tpP%~Xugb2@v>W@{DVzgnLZlqtz
ziZDKtS~c+VjLuXfF}!|oK{;vqj9ij#&L|&jq)tMLXmeHlDPc|?B1(79q=u}V4Pkgm
z`I^d7Qb&A|s}%>D*(v2lctceZ4yxA8u41UKHnRzv9$~+dSZ@&dLTX(e4~d>LOM-;T
z!v!+kkFPvP;@k5xLW<}UYfP!LRFP{n8bs$)l9-M(Up)`MtR`6PsWf^f;38UaA{u>M
zEI77D`&=XM63G$%=gqvfy(FQTwoOii?K#XH^XS|j*AtCYtQm2p>D4~T_;fbYoN3PJ
z+J|qr;YBy#|I9M#BaO-%e&)>v2}X>l`eF5FBWSc|8qv!TQtQ>c!VG3P>uiWGveWBs
zH^UgmURaVZ5WwO}zV4OJP7dCdf0b@1r^!wJO|x5<jx6Srjm74<YzOXI$zNNu0&h)-
zo1!Xtu+&DkKnR!}2Mp<|6MNH1pm!9YOPF>A-(1-%q5~8NC%BIW6(bz#PH3ej=F8;$
z#7Z87-FtAIbR}PP$#X_nF82g11p)m<uhf-VQVAw_ppB;&gDJeW?fn_NJtk%aGH+ES
zj_kwml@6@uVDpfGOvo*%cGMzeB!OX5uG->R{5&m=t=@s(YOtB`rRhmnbtQVbPwB}&
zo$`>On`gYXBQ0be##f3qV?cMl`59<5qJv{<V+OvnC@SDoU2a#9=`I>Sl?swDfhz%v
zg+I7mD!=6_<iKjf!iw_xD$}MrtiwdqP_GaPo5O0fj9G@XEu><S(mNWBusBrJff9SC
zB9YQB6&T@g0=X$YmJy{cm+)XznU_im2q@unIHIg%_ls3Zpts-p?SySSS%Sz9T6rcL
z?Cb{D2y7x%-=suX0!Vamf81o%$%3AN^D9D{h(4%GClMtdn}*dZDc(zQiB8~B@#qB+
zn^Dz0zHL+1L$Lo_;}Iqgph;J0?@D@xLbph|x`!eV21mn-9J)1Bj!xI&bU~kHOByGu
z023WSs6@@jw=Krinob2z^s`zGM|D|QHe8EaMS^fsm*VIVsxHCGq<w`wr`qVaO!%Ej
zio;fCT55}nhExVG>7OBkMr58zg_;Rxc$&if+mj6+Q|w|hPB$&Ow>>T>NIB>RjiGhz
z%j(HmRz{gnE7Q4a;|}$0MRa<A#wWavr;fZ<hgNP$58_64r!*E{5GRNAlxFUc_thz#
zS`)bt1;Q-4P8#J>V=ZST6bQTXO{T6EM`K=HQ<tI1>}fLvsq4s<MaE6EX(Qc9(0ctT
z1clHEfN$ri(;^uS(%+}>&r!8#7l5W$E6iy8oL4qHN=l%&0<Nb7if<9h*D>eY`R>4L
z2gPXxM=4Zzf|Nv;K;ju#c|3o7B`R^{^4uj+{@soRM>^+GF`Bp{TUa<Lzd6e8VJQ*C
zxC_ka+|C&W)E4I0V-OY*m|CyL#gQ<Mrt0w3un2cVd6=dPjZ|u7FOJot2)2|HG2gRf
zm}x|}iqVc8MiE2_8Nw582KDTS3yapB?kM(zMX+h(>0p`_7OHtUMz*jBaTWeFTnFES
z_p!9oqxHEJG)P~rRP)_-*g4Yr2+dVQ2)~VL&fAEe<-YY<R&)r<b9DOKh-&4!^<xZW
zLzu4mC*$FMvTOQ|LPl5+pO&AEnwEzpn{)H}@sE%pI($(5$vHt!Bj`Av5*8v&)mQZ-
zv_aNm%tIV||039FCPa6SB+Zw?IA&ir$<RVGr&XPIx8vRQHLIEAn$3pykr}|<;Tb>=
zUds;C0620w>h{Ouaw2e7{-kFjAU|l%2R1ergV9zu+uPjg;`X?~WLz9Wahy%BDjC?>
zqI{Sic(OzBk&eiMSmIhAZUdTU-JQ_{%JK+~9ovMYqqN{`SBEhm1kWy&3OR!vwKN{b
zPq0L#fF3>JP<%v9x71$<2f}kVdDfKzMdo0a<i%dMhGi8-%*gtQGqR*6RYUy4EwzV{
zB^~rc{A{gWGd9|4hHHUro6eg25jd$0R$_RerIt{>q&MJ&PuN|-W#Lq#*0Y!MEj5A=
zC2hD6oB<|vLgf#hdPRyrHamPIYIc|cp|$PFI#L9RGsj1wW{xQ^?emsqm5)`ExfWfu
zvXb?d?7JdKY`a%Y@ml0=g_*WmP*Ei<c#_WlT5Lwu1#QJi%9OO?Qh27CWcXGWI8F(r
zMqNIOrQ4u<)37A^#-yyR`0k$JJ{+Fm)+O)Q2A-_<oFTOsJ?Fe0YImG3O=hlH681aE
zGvm5l&|VfDnl)e2bJgn+h1%*7%`)$iZ1`?6qrNvVqsE=FgY7}ThqGPC@AfC~rs(1o
z-1qqB)SgGpSv6cXkiUN#{@q^85N59j@1TAb5A?4rt)O;;Q&%?@%nV(+bU)Mya3a>-
zg$%4eP{iRsdhiO??OA^^&APM2KC0^lX+VGzX}|?Fe%QU-oVKgV>(jgRx6*PqiRA_^
zqBC9@Sk{327t!$tOe;OQG#M@S#;foS#K=;G`o4N;VvY}n=-5TbkUJI_>8*7#ck#p?
zn}97<=gY1VR7e688;toLVHv*YDA;Pv&s9hc@+;;>gjw{ZEMbCH-sP%51!;Pw)R9-4
zgt=Dvt>Y+eP=b3gI_65Spm^Qeu3BSIjq;>NEnumhYT_$aSJ&n!Pixfc5n}eaCaAHt
zHF_p4D}jkisEh0sHrFC~NDiNx#9f6MR-Z8!sT~#FlaIiql1cO&TdaaIq{X!rowz%v
z7ok2em#bWh&><Ne&4a{jSXvVf{ne*x?(KBV+Jam~PK0*a&8NYhGd0|Rb!cXz?yn;@
z+$3;T<BntBXRy_Q{aR7?Wd=d?=u_Kt`AqALBwv+Zf1&h@2e`5Dm)BR|ljB{ajxU>e
z>VtE<W~^(xr=xf%CY>i7AYXNaXY#d<3y^ri@e5;3X&IV&Ch`I_f(4WuTgA!OIu0<x
zXuZl7+}0f>Rhy1uz=)FKIGl5V-YwM{RmW;X997DRX!W!|L5PyC73$az7A1wJ2<Me2
zl!rK7gGZEbGZH)ET9h2mQJEFR*0~cWO1w$a5!a&RNGZc(bkfq)GOhf&k$qBT#6F+U
ze+%9s8l@ULqjikSQL^%jF3n502=|`i9(_M&6r@exv3e6FD|}Dq87LUK?*)$nF-_Vr
z35${=+|qTPT!{765g!O8VhyWBZKJ8<Rr#4?*H)Z1r9un784RXV{+sHf#G9S&xKTPv
z4lYDjjEFWbC9P0IftjQo73e5AP-F{b>>F{rV4~pk=-WusCL^M0b+2nawzX!uj#5Wd
zd-e2!zGp$5*;4VUHJXj`L!4eHI$WEfGh0!5(EZ+6n>ioCGrxSxyo9_ptu`8Q)uhd&
zMOa@{e>P%9Yor}_VMq0pvRG#%Ti%#Yi<kE<H<)KRE~20WMJS@d)#O>0C{r6})F>s&
zaLlka=xipoheZfYGb(n9GJJR72d*24=p4<^Q9g{2!Dm+IYRs&}#+zfNWA!kGAfZF-
z@pQ_pDo8PEekw|lW>k;pxrzTGnFtlwd3^(Wq^yWGjoXeBXH%k5Y|@T>OcBiw%%t*D
z!Zl}7QPdqfC!?ub+=$j6OqfN<WQ|1*$I@yHQJ#&QBh!_*8B~yAgE&Cw5FMT=CM+$5
z`>2_y*ivzC>{)YkZ%K_&S)G%jJZpkO>B7{cCBkcHgMf=~CY|Q-lGVvOGGUPx>Ho9l
z{G=r#XrN(}4dJ<l8ED#UNmPj*_Z`dsF%GY}5RU5nSkg=>K(RrNhZK2SQd&%#B?Txp
z)S@s$dPvPR%&ACAX4zmAWt2$2tD7CnNYxVIsM@dCKmM7~dzTx`haA@>QnxVxh^F$a
z6OJXSDt8uH)HkG&lVVXrw()QoJ4<vz?VL{U5>q$>!A{(whC}1|K)SZ3Ii@7W27pa4
zYVu<|ZxBQVM1vO;J1b#}bp->%<`@-XjORV&_iT8WEJeQyLZs&+oh|Sa*wm^jx9Y9U
zx8&b{7yiL9A{$>fm!nTQuKNz&DsFLrm0!nceCvy@E5S*Zo$=l;9w|`|sXlYpdT}vh
zH;uzxDWRLjlPUUglL(3>BcjFX-OTH{$e%CcIqx2~c)Pd6T3@W*%v?bcCg+MKOs3uW
zmHo_{fEumEs|%OGq${B$%toq=34x5hSo2V1DA8*BUm!quSz2qQk><yVR%8grz#hL~
z&)9Lyw~55pOkQS+-X$64Sgm^1?q%ODNtHJR?#@o&=v%t?YEbhaJq&xZm4!C3!AgO?
zY{W~h_#<H!y*E3oJ<CaI_cP5s2-}obk|q=OZ7cEWRTC}}I>I?}KY5sLWdOcB#Y@yV
z={=@Hm0qr`kuf-KiFLP4qY<55D4J1wc+qmn2$S5!T8?j!St;n&ac_;F)0^b*qlJ_-
zsXD81ry)bj#gh%u;8{^3OwZFG-;i$QF-`iNG9ql(Blg~j4ypBEkKM_^U5nzww-GKQ
zrg4c(o9I+WOg6d8--&E)$!cf>md*Osfdd*a=A=@fKWB#5hNLUY_0{4-bWJ|gZgrZ{
z7Ej+!iy%)ZAqw@m<JF*K*63=CO1>S;5;qf$=<T86+jWN}Q!p8qd<D1=!!qI*qzK{F
z;^7*-Ot@C&=qnV*5+w{Ds>Xq)94$XjHAu6)or)CUdVvlFO$k>@ZPfde6XAQd=I~^y
z!XBS|3-Cb$Kt6<F+Lq>!e4A?{y?TbI<Sosq#C;pALb3vbRLaK15R^_>eVZLZQrxFp
z)yBoBMWhghW|}%HHGLsp>`+w(V#Ozx;k|tQ`8r(Oux@N!t1(hVR&HcG!s%R^@5>Tx
zhl;Fw$-;Pg3NJlQtcu8zb?-(_NMtePKuYv@u^I~E!@VrtR%WCn%EBBYlp0Ny#{}MJ
zXV1uG6s=g_lBVH&vKU2Hvm*L6HZ-M8QDi7v$<26s#(<R9w?``5N??2&n!+mA)TOD)
z#X>-0BJ0q(dA7Hi!YM6cD3R~Oj?{IPdqvJ-<(9jLF7-a_)S*iT(M}jS7nH@g2CpMa
za4~GdVe2l`I`o~iamX-L8;SJqnY01RmSsDB<ebkI!w0ETMFZl)zb#XDpl=b}qbG4-
zQcE)`WHexAg`CLb-fo~{Fj}WmlLj;^Z;hPPi3A-3&_g;>rVT(gh;4y&xl%sFM~wZ-
zaa%_`MrG5DOyTWT2c{dauhLwaja?_UQAn|*u3{+_qS#flRMv)}M%GE}cDe_YGj&RK
zws;+hA~ShgfNKyriC;W6?!#fzt%hSs<fan`AnDchqQ}!ZRBA?@03^r}1Np->W*Cmv
z+ddtcFgT<+!n&Ff>0sKTawALgKDwG0v4oBE<U;5^TfLFXbS}QE8fGkgqz^?Ad>iW5
zGcY}=|5j^YiXiXXoNf(sg0#Re^)MY9Qidr3jEq(dl}?EfqrOmo(2_`3F)p%f>N0DS
z72&&4cL?*cO~_jWIj#ZiD7J3hEdJG~<~c5(w5O;HifAoya~Kn52d&5wBa_2tM%6X4
zaBJ-9v2)$+$rP@UO&brWif41U^tP|Fl*l?b=UQGSOPCS0J_%I&yWLqfo@e8J2CuIf
z@62~SZ&eHS+Ko2*$N~;$FH<A*(>Ihc7_H{WJqJvJn9jsp{utJ!H8D*|S52pNq%gI&
zH8K@wB}SHWnFL>PwD#sahGIv7+HCbe&vtGYyG?2(0W=m^77$sdV+{`s{5AJ6GZ-@D
z*H*4)u&=p`kQ1$j`N*{rCc!;Njk*{x?E4kNg#4P=j%!dqkso1FE&7VA)5&-wkSDIw
z$r5evjtrNwFh0=NUR9C-bj*xgERe<c0_V1o04$7q5R-Eh8CtjCF*Ijz+d$=87E|4M
z4{3_PlGsW5TB(ewsYm+1EJhsq>#UW^;%$SDjHt3OM-otb<xxhlDL1oi&oJ9$<uQ(W
zWa26d3k<k5R~}_7GU_%{xM%3Cx$@|sT#as#8I3H)JqXuYd6YqPtcWZm%3@r@@k!(B
zX3}0`rX5){b^ww<n^-Dzh_s_YWGds3#)sr>d5#!A`F0?&Nvz}bP<9sQ5Z94u5{2&=
zWA&`MNvqo%_eNJ{gM=BmgM+r>OUZ+^X_n?_E$}35N?&;hl8;>Va>x<K>pCkB4*9md
zrw0t8>S{@ZXtnmrgNt+(izAD)4mrL|w02G3fn_VYA#+cj(WIsyNj|cs?~oSAG-}rL
z9bhEYXsC2gu2Hk5?;>3pcw|lAA;+C<)T-$_P;{V<tm!-CxblsqbJ<SzELIBE%S{P2
zQjL4!1`&=$LfLBCf+Uw_$AQQUhzsJm#S{C}!DKp^U%}U`6>nXSPb@eB%PAt=hf9J{
zj4>l>eQdTr8o*(q>%%)TV;6Yav<T_bMLcMv<I2+`_iza$3mSymMl}*QVrLa|BeP+F
zV?~FsRBH};>Aw-xN|BK%jDw_RLzq5H2i!(XEv44yOF0p~#sQt=nm*Tz9ke1xB`zp1
z^us;qb#|R`95U+HS1_eR6ufROmp3wp%5WoR3cR)MVScsF(me;zBYfokI4;69xSz_C
z0scUZAwF`Ot_zX$uX?qU3I@qDS)naeA4d*FE{ZNKo=;0lT;gp%kL+!iIG&=E+e+gd
z#wA;uWKxZp_l-Eiexw?&T3~9$`=lgU;9F56_Nr<Edhlw2c4f1XyE$Av<(p+2Co<D^
z&bh#B3vSBYGsNaEnW=Z-K`edWOJ<6}39g;%xWom9+ehg57Q1`Sg+>P5ri!Q3h^aqR
zZ|HT>t_(eCB|`8_lNVvUvZP*-SiKUNta{fN=pyrQA1dMZaN6+UlWRL*Wb)+`$%m2h
znxXh8=aa98lE}Q)Crlhp9<O3{ON^}{C30f!<y}!EmT?JxU1wPFVQGc?-u7d}H=i)y
z@Ult6_w`YJ8*QLGNe^WDZ^<(`pWbXoja)GDi3|)kkJFeQJKXpX$&k}VM^K8SBOW!w
zdrPKN4Ly++b)PQWv%vh7LW#F5`k=G}M-KBoVQfy54Id?U@CIH7tL}V<8>1KV!6^7T
zSo&r2{@oMXw{>B2*<?EJV(qjGdwXW{DfTnm(VE}td!t-JCNkloR>up0$k#d|8nL&f
z>~e3k=*_ckuisxxd;KeQ$h;?lbB7@jBC9wC%(vlk{VSm6!FVfswyV<Kac?iH!^u(V
zqzdwZ5_+e02V0rqH`&<%g3t7(V@QhCv^}-!9H);dGY1|ah1+H3aJNXd1xA(MQQUnh
zoAzd~bA3AKjRx=UZH{Uw&rw036r<1y;d_rC&E~z0{$vW50_W+4^KN2-1qR=Vu`w;5
z;2vM>!_yh~8vJxeRRY=3vUDVh>N@>k$HXO!4o|b$V&pjw5#|!*bOx6kk+4`+`PgK<
zJ=kfYm8e)`Fwv-l%`spIL7;IbIqn&CX%t@QSiurLtG)hwa2c1nz`GWs-gNN(Z0brV
zT++=~XgMlfu17l(K4ExNz0Pei^HdLA!nI914kEc8%-`Dvn1snPGJ!;6I_Q5TElHzt
zHo5P8rP<`Dgw1hec^S;7jK*n^O!ri3^f7S>Bh_2aWP_dEMiD60?~zZAO4uCQTnt8A
zO*-n%G>vu?AmMOY{VLBmV9Qy<fEbl~7y*%i6K)Umd!tbk_1uxD9>gOIPV^^x`wJLA
zw|w{cyCQ}e0v!hoU5~=HIs=$+I$r*1uQz+DiFQ)G%ETp%R?ELk7IV;6cedNxZ<KAM
zju#R>VR+8|#$adMn=ht~SUQSt!7eSeRB|9pp?4SK^5WO8Z0~AZ!st+A+fR*B3XpI(
zu71_spNt0mD@`(yRGT+(38N!hS73q$$8v8@i!o+Qa9j}OG@t^K@Hn|WfGxq0pfyh)
z9h;?`bSN@mbz03}YmX;Z0X8+SHNXk02QmN7hn(8fs+yAHc(7AjHa1~)9RE5PWAOBy
z6?X}*pDCHRgwbjJ7aV6A(n`$>7&zf}M*mq2H4Vu*&IP)ZtxDo~UzO;D-3eq@#Q0{N
znVK^YV8Tghtl-o_ch=DuMJMc54C19qn+$!91w3zumV+{;E?`fD-!bHu=kJXsoT+il
zfF*oR491&~C2V!aaI=*2C4R2vnj=uEg%M!F>5%e>CZl0$mY@I$hvnQW(ZHJ!NuAwk
zRKn(1{(EK6P3WXrjR8ye6xx~XXN{7UdfGu$!sd)xc$+*kt_lQ=Tq`vqadg7&@CfQW
z&0H(BN|_@P7RUCo=}rrYU8)5cu!PT%yw24q;-u!h1tj6|04|L*ajDe00OAn_%lMn_
ztUqzT<S!=truvdbC2Y=)C*$sX+Jl(@EPH5&YN8^?zCTy1It~hi=NkP|F`_nM={T()
z$+93oIG%(=pryezbv{Lr39G|-deTHysqrXBBrJ~Qzw0&~U{m9f0ZaHCFaFSYh)t~u
zn7EXYv82*yJWFL{;u1z@)V_)rY@FrjgxxV*fO-KkYXg?>IjYv+wilx&o|d|<RALe)
z%d^F1zAvKDaGN^9XjH=H!P#OTH*d_8@5B0k6aA!CPHb$#Y^fUenox2aUv!Qm6)54d
zQvJG}F*tP|E5H+er}Y<F7<*G|It-j}JCd&-HZu0q+_HcqJWiJDmCcuYQpbOaOjs?I
ze`}<lR4cDQ36~=+*iLFsNtxQ3deyy7iEC7htU9yfgp)H0SOkcc?mB*3z3o2lj9O2~
zg%iZn(yocfpjdE)jZOR6bbbYP9mRQf{#<y!#vxn*#~E&PCl!pUa(i5LsN_?i5&axN
z4*7JlHj6mBHCW_$oJZmw4O<(@JcQjDOXe<#+8T+ADTYSMpu%;MJ9%v;$vVmL2#@>J
z>QHS8w<Y+luovSb+YV8iN!-{|bPIzeI(c8xE)3gJZ%t7N+kdfKuG^=qK^GK^U>27J
z7uq0@L=#KppKt<PyK9m>#zZ7sPM3c%=c2VaB}ID)nQ&XPzftaVsLd~~&SQ08shJX;
zaD=|p`yFcYO6*IGNVweB%(|1Jj)EfSOXePj+WA6~CQL-a<$<(a72MO~D!YZDNc$;{
z(OnI-EhDbRRS=<=L?b7S%?znztn@anE>TjNPWJFBd)N?2_^8$GT6-vp&Z;uHxV6WE
z4lae7sD#rJ{xx6rN?35W`6OAeiAcDd)PG4`XtxO^jo}QIusWsxoV>tp(~6rV8U1D~
zNZKpwY9D?PryF!#()f<5s35tPia#~&yksp=T*6E3TPptExclO&Z$|f7z=YXRRAw<b
zPmNAhAV`W!1|VSqtJ~?zHic=|%@heFVRN6d`PzeN(ul602>OxS;}Vu>xFV8fQyP!(
zIGX=HWqF1ZNwN+DkT5AUlCbxI6RDvQw(H>(-*-^kZIU7k$0ho?KWV=M*UjxIvpiv^
z!%<_)L2ZR3S&9KjH1R-Qv5Bp-a#bW{pamFV@IEYQ)(#y>^KC>T*hh3ZwKjt!Khb!E
z$12?^P}Yp<_e$J}g1k4Q_A;EI42v<aw$kGEFNypLXrez{sc&OAOq#_|Ov2~>Jc+2S
zo}~DaV-ftL`R`J8E^yCIiZ2ErVX{>Gq1m9AG*>YZ374bBu7R&i)HMJJlO^L1_16fJ
zv|=I>F89M<QcfrrhEk=oNw%6}5&Tnp&qVFcNy-s8F5z|5*fdd_P?8TBfP~4Ra>qpN
zc#^c5RH6|MNAymK+ANYrN{vT&oUnIC)Mk@ZkFik+r^D4!e{C{xyVZ*Eu!18j9;|+y
zyc>hZ{-jy608E&j)L&?tHzd`F7%XA6l&=vco+GoPUs4P<5eb(E^1sy2_mZ;k0*o*?
zR_2^Z`#`wiBxO((lkhoQ{;j@Fl6<OyBP<?hYOhKCB4xH`tW6iGBau}TkK1Qi#2E{k
zXyynOrV>vT+P;%C9%#IrM>ae|?sa;5zI*U}H_B6UxY+|P8iMa+qiY8@=ihx-_^alf
zPIs$I8dp$6@KPHC4mOwE5(MgK*`}I5{53bc=mz}XL2+kFVIpoTFn|r2`oN^aKjp`Y
z8&f2^JXGASU!RF1Cvh+-;7sKl<Y#Ksf|38eS6QZgXPv`0<cE#h>DVh!msMs7SANxE
zRVCJrD!+q|iAl7i_5rCqUG@9Q;i(QPYV%WX6FkjyAGMOE!cj60D~P4BQGsLBv+l7`
zCy-;VqLkaH9V*Rgkc>tp`Z?;qHr2tyQjMdME<en#LOrJJ1j+{c`<_kDvNZFYWm=RW
zphPDRs6RPVfG`oq_$xoy$<YXdqvORM+*Jq0+<=8+7U*E15ebvkY4-GD02Amg+)g#A
z*+;!O+}yMYH@v{8<k)WQU?rjxf-BSPayFg8ThviqH3=GPQ>pv}aKi5t&aVl#<Umx#
zW=EmHp*sdlc&S2z3JRW5kStk;p)?aiLOEj2BpbeqBvWtlCsW1cm^XRTsQgRj2yj1M
zrr6yZ%w`Z=Fc(|IU0SFlfx*68PNUSHJA!PY<$DSPu7UdwA1)PJs`H*)ox_`MgWT=)
zqBg<O)%$|smeJQqiqwBsI_wQEk}kT_FSN7S15fO$o5JBuNEOr_UMR;?W+y&)6a?ot
zu&x(kUD<F2D~p95rDcY|_d6V!^zeCTZCALrDqSqO2$;TMAzc_;ZI#m^WY@L^+uJPu
zq)XQkfbJPgm()Q<gyY$~P|zw%dd{{6%bXM8d9Dy+Ro~Kun<)&v?J8XsUfquVO_-j|
z?*#tp(rC_!@HE~ojn@~q!PiPu>D#4is8_A<7jwTpy}#t587KyO1GwBXJAY+ATW=h%
z=+*cstOXiG<6E=d-aZ^=pTX5u4eVHeA;IinGL$uJ0NfE?aVCxFl_Bpsw&X&qEh!0;
zW?X6<qowYsa>%o-wtz+N5%rKpJ}kAva_GleZ4Kp4dZo-}TDC3lh4L)e`Bs}!I2mcf
z6D^DbQlC_|wb5!5gc0J27IK5HU<-t-;c;Q#QNw^pLT$V5&9*MVR;GCmd%0ylFe?P@
z#@LcD^@RCgk6k>}W;dK`)e{t3(txe`?lkLdb!WZp|8@p$gLB@PZ1{RIySz6ryX?dL
z`aAG?U^u~MO){??+~c2OdLA|BnX5}0Vo6P7!_!Q+Xqao#Epgh!+z)ja1=929y>rbJ
zu_SJ|=9?)3J4lU?y|gnJ54r=mWEtP-?2H*HAm(hz73@;vbqGbm{_zD~`ubGX+Z@1~
zo!h7H3KB{5DM!M8Balg^;OH5DE0)6Y#tXsRq#j%PI<$KJ2MdyTEep|YpXQ35JU5BA
zmEN{uA(Sa;#Y2TcTK7!)8p4`tFCHU|A1T%88NSP}@L__-Rx_NqsskzVI^~x$`UZ<$
z`TLv{oKdw`cIqj~<o}Q(>7dY~#ooA_&2W8G{54Oa|Hl^N!PASZJMGN}lh)0KzALnz
zMmi=#k-IvS{8i0eF(lkC4)9i}d4IQc-mdCWlGT*#2<L~(`bImP%{f9Vq)U2)^m*?D
zEk!Bq=T~ex_Lxx%YhTIqg?=@?(O^jQ{BSujYoB*3#!=EEq%ZjAjkT?Vz7VaZrui)K
zF=NKnzM5Mx4}&4qbg<Hsq-^NT-N_cr$6Cn;&ALuDyqnBn?+(pj$>JzXWB2x9y=DsQ
zv3CV#u&xKq`Rj>%5h9lvF?Dsw1Vzz}>V`==9x2vIb7az$u!RKEXJ3jOBU8^noO9|J
zF;X(WRy5D;BQcWARLr$33PX;Oe(ByP+7lP?&V(j&F_N_o=~1}E?&XWN59KaV=9TUB
zwR0j7)7<g}iAD2>RbHagqQ;D^nOig7lpEpwcwUxTpYl5PQV~lU`Mq<>=~8%@58=O6
zKN^IQw0%F~nhVu$h7>un+L0roF(A8K9D4LRG)MA^{aH53U-^oF{(UX|`l>WTWp*8!
z##=#baI<bKjp(#0)3|sY+QrIdQyMAiM6rlAS+Pwm02S6VEeEUV47VJ~gIgGaY;3nS
zR*agDEnxyWa$Jwr(H0O}ypVI-fOiMa*7L0*t;BI>qU-M@i3j0(scHO{5VZE4CH-{T
zQoMe&ndketJ10anxHC^5w&m$!8!Qj6IeJQ>eV+Yz5k%7SZjaM|%yQJMnahaHD5w%&
z*rI-2Kl)0D+9%rV4a%6b=6tTyWf=I+;9mM{+DagD);9cJA<!UfA8Q(i1OTmaXCXS7
zv=oINX%>aN%$<uE>C9OS8nhLIq!w5q$hBv%pWY72npn}Lh7m|=h!KElj%I??GR-3F
z`_!B3#~%Su`$CI7LHUxltX&w-=F>$V-xs{qO5jPZ!AJ}U$A{|297(oTadNdl5+_BP
z^K~PQ1fcmQ$8<>?uOe+xPpxCm5|Dl5*0oL18CoQvzP#pQ?WiIlnUiJb(uON4N&>}L
zQf#ekQo)n3w9T}mbt!^m!$(L7{=I<`{1%or)RDYw%Jz{Jd(h}9{h~i%j_Z5YEX1#o
zkc#u-a8=GD8w&ESaOQcc!$^>DcEP)qEJ-d|>vTnjB#FXiGGndCIb%q|Ago;}Uy{U*
z!I9{C3`fD?r5{~5O{+F9j<?`|$YjjVUPhT3@7Nn>P(XkerB~&rOUSzvR(ibOfVtF;
zgEeVd7IOl(Wa9N8PQZ+Pt{P}s2Z>}!d$#uB6)FRK$D@|)-mIg)!-9#wIj&h<lE99{
zm9(Ze?Tw$pJ0bET*kE%l`404GInQ=&JW6W{BTCxQoxzd#;yw;^oc3GcI)IVZ3X3Lb
zgR<a!<Y}M&8uBdNthU4J#uDb;-sPSD7PN2CByHHrPvJujkGB$zF<xE|XK2T-C9b43
z!5mZfWMW`)<(NqVO9LdF<MaC@tl0cMNvJQs56=UWp!A^ang=F{ljebsz}&{anwJDY
z5~me>v~l1m2@-<|O<&VUSGiF;2`Vd(UGQ!lOyg>9c5H_(+dO#5*qYbUaAdM>C!aPr
z63ci5I@5m;t-ik7G3b&Yq5Y7517Us6uI0WYi5<R$u-Mq+Da9lqv>od5azL))Z1^Tp
z1}OH^S$Ff5fl5t8GHfs_0lde*5f2(HK4(t<PcFlk&V%qJRhWsI`%6M$-cK(d4bsO+
zhk;D2Z#6XGmnc{QN$97SC8cuXQ~b4Hfz_dWn`9O0Jyny4#!5r!<IzRRNUqkxhbR4t
zVNBVP?q4rD$QSG*Aj~=WF=(S>?2nKnCW&gfLFFoeLne{xg+`b2R8L@!VT)}wh!Nec
z1PbkuWGlOE=vgc`S<54(KaNKzK?m@Lo@GYvn}=`38>`NhIbc%*HPaB+)jx3^B44Al
z8cOtH6ls!d*xM|%yI`bEZ7S1~iAFTpd2`FTGFNJoYr~E&DG@JU3#M-oY9J%1YcG4G
zdGdtqf>D8PQ=JXF-e5&EdO;m(gA@!-M1B>~HCW|zvtdS(%i=~mXL7j><1k)TZSIJ?
zc5u5tvlJgP)5@dAQEY5ZDT#xGl3v=VlQ!w=9RrZ`+evRK84^WYz;)6jB!s7rCjx_T
zNTMFxYI9-(@2Ox)8_$Z~{~6zNQW|@aCW@ZKAjr>3U|oSXB*#~AdoYx`hJ>3*tLy&9
zkPI<hJp<L`{$S=SC5Pmi++62!LNb6`L4&xd+5u_gtj-V{l5cW!T~Zj5kuRQO;K(z3
z!t_iq`3s3BL503+JHb^-8id?AINz+`o4AR+LR*_+Nrq5dhu;pyzEgHV{n-R-hnt)V
zp?CVJ#dJQI4czN?L3+@M<wUNw>Pi-b+ljrb=Ux>};Z=LsKn8@<sl9A#&=RZK{g`tg
zye{Uy>-IKh-L35Mz`ux=qB~dJBP63EF(RB#K-T5HB`YM~jC}R`7Z?yukBs;8unaG3
zz=+spV5uFSElz~+>Dg1+GvjRb0y}WYf^a)En{R<JwlcWYc9xt2<rOTt1dXpM2-W5#
z6k1NJ_YRHw?Knm4U|g~wIy>pDtpxRDR#j?yE32oh#ne-hxVh&2AtBBh%9*lYQQr$p
z-PP{Yk_PG2Q~tV1sL>>|bFGJjgb0gUYerR~9ktc&R)Y!A+?r8|c!4PzOmd3Z@J><_
zc~@ZH?as8fzguoFp27>N{M8Wa>t-F~ffFcdJ^E&CDhg^K^bIX~dO*L}Auyz0j`=Ox
zCx=+`y|}1Q;+GRl*rw?dAXxJ8LWI*qeDcf;hrU>-Bo^RPe2pk*DNu{?5~@bMd+Ml%
z)nMQ?W`P?>;@Hp^3`Hs@$0oWt7R(E-BOf6jSi;wMc{0#AHnsW+k%?|jVO^>&7poFg
zixJ}IjI!awB)+{h5Z~}sTIwdBxA+5F`8_kD9fte%`il{)-FIP!_;?O?0;#>>gYk{I
zup1qoPzZyVcDw%@aI+snDBF32w6oa%;H+&IkVRFoTQ=vQcsY#g=!D}jQwwVXN3?}l
zEm)L5DXw~&OvbIFVu|wDHgpl}rq16^QJ<Ep2JfI%p_U!?=Dfr5H~n-%b_tumC*Z?-
z-TduH2gN|`>?rH|s)u^R?;=KWTL2VlQEd6+R=-~ekC?{sz^QTc(gzpi8T9#=I~5d(
zP0QXz51$w^=DWg@PXJ%+2oGvLd3veCHK_TXmKGE?q8Ai=lI^{`u9b104BtXRFj4Xe
zj!Be!&zJcfF)DRnJElbMlWa0`%|U$6drR}-bj2sSp`{7w%E_`u@62|+e9URCt3==v
zAnyqY<-0zKT1B-&1Iu?;%M}7o9_8g@uLRUmQ%QnY`<dV}MG~=E!An@4I8iPP)H5lV
z3Y1F|wNzE26ICsFmnFPvGWgW8D7GANEU+9A%cfR;3Cj>0QqjM0-?^@~_q8s({ICRB
zkGs<9lWj)zdi`iGJ6y0z{A~q@T4RpIg&6;dve4hSQ)@Y7iB32j3oJ9lc4aLm5SABC
zlm+w`Mn@$&(b2NEeDBqeIWE_-c2>4O9aFZC=H%Ko;uGL3*Pkrw<n{W_)Kx75FX2h&
z1&W%!hLQ=6tElM{AQUxE8%6QvYO2+J1_Pq0(?&7;1)^p!$f;$+d&vy_oq-wpa5fpk
z8h#(f2q?zC!#_7CUp8mur`4P8$v#K8R0H39A62+9<-!!*wYXz`t>Z)_U9_BkEx(Yu
zKBK!FRW*T;2}P(JMJkhhJa1f|$epo7Odvu-X{4-L*C!IK5eh}9Y@kN;eNR{^suqUo
zGjp9rVSVLACPa^^ss_+AZZ@rB*sg*fp(bDvGKY#U<c3y<#%(c1L{JEU`_-Rv1FHl7
z?r8WNgMjC)FO8}We0=Lm6hdHCwccSnb@;dz*|||TKy!N8u$LbAvvES;FTZRC{`=SS
z<=11mpzsk#)v7|0XSu@sT8Cng-Z-|EZTA)<-;PI*C|z=KW#gWQI|Vf1vz#{#?Z9W{
zg#xUWX*#al$ww!bN!Y9m=Gk6%mhHp+FZ0Q?7AG^wbgiTKXi*A;-bwh|v>k<cQwCYv
z9gR*{op~y|(xT41?(JYk806%#;aiA%hnDBYi@l7zBNMB6@P3iN@|@!_)8$uS*XMlN
z>(BH0V7^Kpc6?bfgaB7@Uw)t?p_Bf5a5ZoG1~zzQ@GPv)-JCB8!+$xPQpN&uuK9xe
zK!-sSX6xRSqgat-lI1#o87qvhD4i=tJx>UW6|Uo%Ycp!BByr8;Y;Z$Itawe-b!;V8
zlC&na7T5$6D_gT{-0N(yV9i@*j%En9Q<lIRb7bY`HE#*^h2dzIR?h}X<aJm!wn?dU
zUe@iLIYAw!uF`p|tWL>_gw3;oifgQNvyk3cr$QxmqpTNyb?LNZMRdARE;fC2aV=R9
zuHB?%o;udxy7VtrR(Sd6d~mfo7K;r3jUBF}MHQ~5xZBgoUbV?7DR1IwkiDTpZFeXV
z4fEwOu}bi5?pXIOKExsrH8&p1*rLS6m_><NTwS-v#R_vSR-7+a3z~-vb57aVgiBh)
zgwOhSX2&XnSb?js7%NOz+_-2gEwroF#%5qJqnZtFTaML-&Sx8s#=`!fN6VcjZA@hB
ztuT#^wj@VX`*3huOtflk!i_a7Y?tX-OZV49(Q6F{o{q&a*LOC&nG{n(_jpXEusX&z
zvIg$)5FauNDM#=H7f_jlOQypW3P~E&CtS-g($_m0kC@%jHEiBe<Q;XAWFX>N+K|59
zF#rh@|9v7MQ6yNq*26<WctIq5cSlI34s@>bn;{8OSt0)Jj*xUaJ97n#kQ`rD7QDM7
zB;1_6xvFv@8DbeJbYDzJsP5g`Hpj{_r-FlQJgeF^Ck(3L`#FNV%-qja8xIMQH{bdX
z4Tog56Fpd>A9ZLriJNPeT}X&Cu@4^_4v8kZtKF$$A|E(3oW#tvNE8wxB<@j%hC_0R
z+G=+zOVqRBagyDHP6ie8@b2bfFjBjK0w;s)@0&Tzi4EiRU8D8rv$>W`NGM#v)cR&e
z1SDBSHxFc1{x<c!btMW!2Yy%mC`wHEesa3KWI7{l2)+0{3P}@oE#yXt;jipk4X(sQ
z3D*2v&JZO=N|xeZ^d1FaXH2fyc9bw*+O$?ka25xm5X{`kRm+MJBqmVB?cn9sEzdMC
z3PW2#Gp!b0Utkh%8udqT)lwJdmfhZXtBd>4HhZ%SHlx9sapMNqlkZ0zlh`PAbi7<i
zvmQ7KZCGy*b6poA*hEbn!XR}1$tOtnyKCRK?`a;Cf`|Nk;!KZm-G<<MUUZc3VNIV%
ztsmEBCEwFhP>esU>62{7Lf3u{pA26JT%nGf;GL$KYVFnHM>$ZN58RvJYqw@q%jT2s
zP4IGwyf?uoL-ixk&T;d7kn0U%Q>+(Cc!bgEz;+C~eUd=kZ?4%+j1(TTR*T1?hkKD6
z2q|}A#3oXb95IHiB&T|kXsy3kZ<M4+G3~MFwab_uvSXX;1uHSKd@&BrD0%N*iIJ~$
z+Q=qZOgW1hO^CWuPuY5G#1Q!qkG?>ob5pMQjz*Y*HtKE4iSS+4bJq0+5z)0t*fti9
zM%bK6jE7vDwmes@F-(caLby|TvJE%jM8`sb7>Fn%VfvJJz33Y;4xUbqg95$E(qjFA
z%aCH=Bei27mv4KnYvnVdhbb#+gNgA^;92Rifeo_Qx0V?D1YTBF)qov~dmA*yB*Z;|
zXQjUeJxuwK9)54>P2r_Z%akAxyG{&Q-z<+)ObN0&yp^Dvim26duA_G@5=JhZ4c|#B
zvhNNY$}B`qi{pZ@ZNI4Dx-M&C512LC`*9w$rVbuPE5CvU?YpiNvq3u=hjhS6_##H(
zLFT?T*dxoFin}WKp2snI7wCl5ky++DHRO?~hdbBmyXWB!z!DzEFZV_RC=mIs-t)-Q
zWC9bUsz;4(g8jBRHeqy*2I{cuNTTg=BQX3*B76z+;iHoY*6<pb^?UqPIfIc2MKpDx
zfu>BMwz2{>S_d_szD{c|2<1}_>82Y7(iMjUmnSZ#dLmI>HEspcVHYXeA5WD&k!1HW
zrNChCqEs><wzhh*ypZq6c<XF=J7fd<50nNpIS(*l*st#m9thhv)XPlDfLNyHa93{m
zt8&cjcx3uK<&ip`;=wZg#<lG^iM!@Uw0|zqi+q$TpK_hsN+N7~*u~PmQ#>q+uIud)
zNpwqgM7#H|z)7D5&K8|RX&i#zU`*B$ZC8pOleGw+=hVvcv}n^&qVqicxNCGt&GWQG
zomxfbdHUgY@;oh1lZnpr^uuzVcLMYEQ{&lw)`!F4xp6~=9y%*)J5zYCh8{{JL}KR`
zVV^MuxNbJaeX$XBN562bw&>U(aqL*M2<POz1p&&|yfd&0?ic3sS3K!kYhK1|rVw-m
zOd)#25Y?<15e=VC9NQ$>+7jZkSHVA+U$2+rMapRAC+Iq80@}fXXrRYSK172{tL1$F
zP5eBtNU4e0XoSlpaHirQL%!jnboTg}i7nq8JI=<=>ue$D<RUM^epTCOJA9+_aK=|N
zAq+RHV3lH+Hiq_^Kv~e;_ukm~aQ!(0qiV&?=tyJ>^2N*(iIK>bt@Rn$-{{e&oll=B
zJ-(fej?N10w#iw>{inwBCNU>EbJjS-8y<3bb-ed#$!4619+&mwaS>*vf&XeOZE1le
zc5P|;VXx0Nn2TtH+H(;t!sn;8<|10O+0W5)5&d{ua}h03_h$55L_f@OmRdDuEl-n)
zo{Q**<tVYVUcR}uNvw#@Pi!<2F&d0Xwp`oFqsJs$kk8g@Wh6F$Y4On+i7mus_o<_%
zEms>{^r&fzU_MZ5)U>5)V$q|fEkgE(L&qU8YBX*JmMeACH<73xG#@!l*`|f9#OCOx
zfVk0ft-<JNqUo-UUX3vy_l}_F>u0?th8<m^{nixXi!69(Gr2-w3OD=Qb!d~#YE1#I
zh_aNJhnq5W&qj|I=Ho1qoUD_7n-Vpl=v>2mT#g_QoX?(Z6hH!p0dxQ{fJpqnTHZJ>
zJJg-$8=_59imv4u&&NfN)dtbS0Mk7h?UTmS-q?}6X<zIpJ9I?P5losiijlrQRVQ*7
zvd!L(UPU#Ycg2mPiE+aasr%G**8z)U#?vfnz<V3g_k9=wHJ#|3$aq?g8Aq34AIkZ`
zUa`_uZ!sWRI~EwRpK}fT(2}ba6`g%s61@Hxe+>gO4-3ZjN!K+DAvwMgeWi|H+B^#x
zSniLG8<q^0e;!ZtPfM)s>*$%OC4u=Vye2)}Pc5OER`l9~B|-MrLu+_*OOqLM^en+d
zBA(hL-!_G69YyEc=Hp%;ZIEx97`B5(kL{)qpLf>Ew@u;Zuo<0in*v;ZnVN5#GIh^J
z=iBDv%p+^%+onWKC_3LZAD4ac*b<DLI}>&1b`y^b9PZTF9LFPmd7;4w%0+9H1rEjd
z_<4QwQJPJrtYrvvt+k+2Tk;Fm*-*+w`TTXg&S=UZOs|bz`{iO>zI!ThOy!bw??>n2
zTnO{y)jA_9m#fJ|$73$U<<pbtG=rBt!#jJvGCs}l+Vg29S}QKzr<suJ=F<$x9)06|
znu%)Prx`>&pJrlO^Jyko_kO%jGa)VcG?S~z#rrf9;_&H{SD>VMX0ikS|BCoD$0I)7
zVBF)9Yx@Wn)w+*xh+00v#kA!kT(UO9XdmH1+VK%CSCfnO5iZ2xBNxVlrx)4MWYKKz
zMszOA@!IkcF1faka8a%M2#2WUBV0^dKEfqyGmQ2TE~FhF;c_*(XdmH1WFI+kZt~0q
zTo(nWat8fblaVC4ek&moKWVTNS(0sgO7xB=Ntn-9YVAapKum9muJ%fTT>g@}6Iqh2
zjWW6#D2ZV{Q)?%(Bv})To{dUkWWPBEmCfFn-ev|HnVWb`^w`4jh|koT!*iLY<wa|a
zi*eaqgDjDQ*nS;7lj5R$UfrYu#gVj8M$cBc5bta?wNAptYmU)lAs52@dbLiSgv-_B
zqQ^omME2?9xU#rjoK9%s)X}Rp0wD2f-1Upax$<a1N;y%Gt#ubY1`1NV)|Y&7m9Df3
zP_~Ol`-~vV=i_JVR6qp`Gkiv`dkS(~@$<pN8mJ&z+d%ZniXeq~_gWqA76fa0(d%b|
z6w$vw{Pr7ObOZkHz__`piJM0s)z|mb6mZ1JFBFFa%bRBtt`}i~O#_T}7AB=*Ga`JG
z?`6_1&X8;ek3OEmB>CJMuOCj{0LTzb-9{THlj3silZmd)1Z&TUUJhh3m|L&Zacd@4
zQ;Xhc!DNUoeL(KzY~st&L$-M@pybULZQqGMpd*MjZ7zDdpdiQZ(G3P|0n7I3=r|<E
z@_BWwL0iBubsRlt3vyhZojPa>qO}7>588qh=H0ahZ9%Z67abP`DYAzjZ6hI%-ppr#
zk#VoV7CB3-?IF=tXUXw-N3AV#mVDDQq9eB@!{rsVHl$gywcSORpezZp&82SNvxI6|
z(W8nbL3?U8Tp@Sv6)!b;-;G;=tssl}U<5br-Lf~?T8y&bjeGgm&HMJ?g<<{0bT+u0
zsn@3#uOGn~D7=6^ml{U`_E!e=py1&WPyvzn;610aE6aoaJmG#1B^o%ysi0E;5Yz|o
z<ptB2$#>q4l4NxOQScA~c}~46f!_Xje}A%nr2&E9@neespb-t6+RC<ji_yHh-NRc}
zu7r~sB9OcyD43p-M>`fWp>+h`?)y}BCE{fl(=HLKeKdFyl|0ue5ebj`;ME%qdgrz%
zXD&^%17HOGfx$f6YodZg^Hgwz!Tk;UAkjP#jo{z6KiU7v=^wxd`eFD5>ZAdK;4O~S
z2n#^M0{6BSzS4k5aBnLmqA>}VL-`fD4R{21bW<KV9_0X2*G1OEEfP88c!a~T+3sR{
zdz5tt<8FU<F@8$XNgqFh`D?BXhDOLNJ=2?xyOVKQXTsh|rxIzY78W6LKfEq>KEU0G
z^(X}HQ7$8Wg+jp3^cM3;cMrz0!Txm8&t|jke6q7MQWw{zt0TBVlJ|@Ylu$c1TkPy)
zvw3$P?&0jt2Jf%QDb`wSG(zUcPBzY_uo+yjsn=1F;|f6{B;Gf<oJ~hP72DJMCNkqI
zFbMGJ-qu!k41JMpsq7bQwKs*EpX=!%GUIVz5@Lro2XLL&R(JMP_Dnr8k;#UEBNBLO
zF;yu~dbgwzKpaBg{*A@vd<to3+#9FC$@AOBlq14CATrl5Q3(FY?E$=N4c|7=oowUD
z;LR+531hk@f{Xuo@Q?rrrE}yPv-xx|-kGUa!fiq%scE#qQjS25K@*y5gysmg9OWb-
ziKxjjcwL3Sk>V19#|c45%Ii9OWEREYd~{&iTT@N7=pY=SbBfU2>w%fU@L4YiMHU1^
zL_+EU`N|fO?mjb^@8%9#PD|2VGq~+auq+9kkX^zzH11`4FoA9`yhmnW78W6LB(F?#
z=Ws}RP&1524(<erkhla(a@&*X9%ROY?(FGBZwliYxEvH2Ce!ZjWN(6r!C<cH9_c+8
zyrnwt!B`T6`n@WduV?!2jGOE$1PZ#BO?PUhgpr^Mfq))YzbdB;T@0S}njIN~I2@t#
zD4b)0_hxlR`Odp8R%6Pm(z{?aX!PT{nNe_oEw`9B3OVg;c#@QFZ_f*-&hqUXb|6`A
zc)oUUo4<xDJ!2Mf590=jrO9ZqHx8Fg1!0ggxk8Tc?T$txJ$HN#2UeVAL%$$WK6E8b
zei0pnCxlJ}Uw!45s4IxBozMQ~rB`0zeShAUh51FA>ou-9hhGA&)*u0*sbhgxtNBH0
zJ=N?vL??XKF@konL%T3R9Zc$46|@z1h2RAcuD!1QrgbbLgyo4~4a_fG>#e4J2{p0!
zH@yV7SqGC{a|OQ?-}2>y@E&>9#dSNkH;4Rmb1~1LcU?uA0KJj|>DG1FlDQ3IkgwkF
zmwTiAV(psrN+N{bD*SdZZjoF~<I8CfYNv22KbZ~O``ZF~GyJut%1Q==*Ref#15;fy
zGdR@@Z-`F#oY>2@2CXov*>^cU;dCMYUAMP6>uzP22kI<&3p#V{4f0z;M`A<x9)pyr
zcDB(%p8`7Jb8)<%4_Hup#(@iSXvaLj-*gr{YK~kMA42vN78jxT`2sp>$$;=WF`I9J
z@zvFw(XBNdBgZG4;5}PYaMpes##S?^l?({4V|y@Tu4!WC(COOa?6=Ympj&i$&%Tg!
zde2fiv&G&ENC(gfosGTTv)$eD#c18lcDl}0!U}br&BdY$OPOCaRBbMV>Lo%G>TdJh
z2`uXL_B=1}^y`MqL)9z<Vv1T_DCbS^1~<Qmj++!Ae?fn524@WWxLVqV#kvm3MYFEh
z5V{X9X7EB6DCD<q8?LHMfU!)7kUooRTu^O+%W+!MZ_VM@VnS%1hBc<{`?Kk!_IPXt
zbk_#rfI2G<gxVVZdYtV*I(WGquW}vgi=bEWAQU&WBjpjG6)o0`t&9tydKzlrW7xLY
zjwWk%bj5*CTY=@C{x0|mT&2-Q7;-J#1-jW_LFgUFsNM#znsYdWCxljJy}f<d_k)`_
z+Tc}FUj_?8??G^d9?n17;8rtjEh!LUCvZio6%Tc-Fa|74;S)+L^WA9%OAfQ%_6ymS
z28*0tHhdjfT6kYzX<;#j)%it#zQAR+a{Z*pU#=az*T2T#eb`)Vc*H!|QQVKPUKX|U
zsv%^zj;XH?1<H7?6+Pc$9XB7+%l=wpO$3rJZq#VBhdp1=crv)4QMVcSzzIEYq2)H@
zj7dj45m;<!+=jOMfh|w$D(8YD`~ArlY{YSf*t#t->KKo=+#i%V>6a&i%NcdsbKR^<
zSODo20q=Tt%0n%8N*SY7n9YW3B<kOj67|*CSBg8hJ0awgC(U?&^1N|pMtFId*oY|<
zf{Sa#()o;9YF;m9;KW#0y^GCp0!i?8oqmfG#bfnKN|ZD8MB1#E2pjTaF>EbuEQw&~
zS|W_ppfFP4l}Fyi@;K4vqPc7K9w(_R0ufVOON*P=Uz283%!cn#(PVfi4=Tf(ZiDMF
zUMt3wya(V&;cKM0QT|oMhTiZNQ{J0=@;W=y-u^C#y~!iC{8AzP4I~5>4_bR_3PK&V
zXXo0%8-3FA@0eljK6QR!Z!nv|2;R+~_3V2hU=YgG#(=^+r^QB(Sx%)RNG1kz_cVKY
zF_>oQsBb3&58(tHOrbeoHoS`{^7V2*fdUF8zD`tP^><T&hjAy?v^U;@{aN`QY1o^k
z4irq(K}yGdzG*28lt?#fSAW6dZ!XDYyPh!3uV8K22h=L(xJ~+6Y3}s2K=tRs<lbsZ
ze1oW{;;M|v6l4~vq%w^!6jEPH^#AUF*v=+w{qGu54mwhY=r6Db%pN+TmgrHF-c5yW
zY0yP<52*XAcx4pS>J=6-_QUxf0^17Rf|;4PzgloWC_>@Bhw?Y0Os1~%#Vr%y>1hV{
zS34C9K|fYJ!B>Q1MCk;87OrBRm5;uo-?GK&7;%~k-7FaMtUl424IeTcO&*EhOwbIL
zLmVSf`Pah5R+YSAC;#Wh{GZeLKg;<)7xI6)`9JsP|Mc^JZqNUDTmH}4{GZ43e_oyc
zb58xUSR8!KaCYr`uiZR+5e%Z=d+p$5xpU(0cHemVhQ+~)p?tY(e&bcUu>JsnS?#9C
zpM3`iyE=Rg{CsZso$BW?^_%yq|9+qP@3*U;OX}w(_46_H^A7d%CiU}4^>bbQ+)_VJ
zsh{W7&j-}cTh-4K>gR3h=Y#6!hWdF_{k%{8d^h}jZn&xb`;F@7VfFJ-_4ADS`7ZVI
z9`*C0`uTeG^KSL?5%u#;>Sv~Y-l={*tbQI*Ki{l=ewX@rulm_jKi{H$-mHEeS3lpW
ze&WptSJejFtEv`uRn3jAs+{JkN@=dDMC9ra6Nam5w7WXQvEk|v<N4Jg#^0;T<gO0U
zP_8OFd2Wbia&?GSa&?GCa&?F{^4t(j<hdbQ$kibl$a6!qkLQMH9#@BG9nTHXIG!7#
zZCo9qX*{=3y}$d<wQ1aZ@Je&2zIO0!v;Ez{_}LDOmc7Av*4e)TYn5Q&uUOk0!rIia
z@qBva+K0fju<M6!#w6{fxpiH;I=}V-5Mau~+aq8tF59{`{M83;xS@FJW_;@Fwijcy
z)>S<BYVsU@=wh)G9ISj6&1`rJJUjfSAS*|Elk=%g@A7og#XpzNqk#@@rO)3I@qFjV
zL+93(Z9#WnBVMBFh(!zN@qH9rwm@^KWa$l?gx*~!_2tznSs|H*)R1JHiBvToBK=;J
z{&kQIs?DZ_a2g~-!eNwDOCLn;eJJ;(dG(}_N(ZBmRQx-Uct~PO%lk1h)ycD}ykFR$
zvV)@%06iHH1%Ss!dUL}4m?WBB3lkEJiRGqR=c-aw0&%jb!UyB+36XdjB{noXunk?<
zC(>6XmC%$eq>@oK-hna8?8CE?)HHJzZR5NoH;rw6GJ~+ah*GJOr1^Ee-vO3P)TI-q
zA|90pdqShi-cjKtK^(P*Pk<C7w0c5g^?c_j%mbEfK|Q1s8ydMR9vT(BEtJYE)Dvd}
z$)?#Wp*t-IWr`f4P&>?eVv9gjc>|3titnBz+G9q7XwgfR@crh(#j!^TpGm?!QBh#-
ziHZv1GD1)f^F#vyz#iO`)GJ)7Cl&}&X)I7Ozo)588V!}q@0S#O6B<%g{!vy{WL2I1
z>@rD@FlQhBJrH8VfOmu+?<{RRv}{BGCFbuV7ZL&J4JIOyQWE!nCG#rEWd2VV*Zp#<
z01C$`;0RikSSs-clKPTZXQRO$T)s0cgQ^ny<4wgry_n3i{%((o{Rfg*Pb@4uyVCKl
z%B>024@)xX4ITmg<~vQs)5$YbxBp0z><NgBtr)YEe*Zg3G`*I^Pa6M9)bQU+5<R&+
zBdhRe>{e9&2T5>>7R2DHME?^>v?pC=oIRmc0sM~$KtpSalFe~f$@`yB9&=_-TxE>y
zSgpkVQ%*C*DQHwx68~pOv$P)Ux39@QZkVP1@Xy57r!b{siemb|@V37msmambG<&Sm
z41W(EHzL0$d&EaO%ZA&i=l=lVNyxv|kFG@Iv0lxhvr0!w-XDoNdb3|<u{==Z##nh8
zew4P$V`3<}xSCJ>C!2aHc^^YwcJaa!9t^3KK)m`2ow<xVO7O=e!JgF45Zs@Pq1HIZ
z<92X`6i&imJ%I@Sgd{vp7mM)#wvS|mU?TOClGHd|3}>JN;EJu-p5mrOv(r8$3HJDh
zp$oM`PD$U|CNe)Q$yD~|_K?CHDw#y!XPO9vP3o5?gKAJ$7Vud~pl2FpwmRQmN%(zE
z5*Khvv%xClQXPI?66r~jOoq5~5iUZ5*Wk^&R@Zz%66+bhY_V#o8VcCBqJmc;fdf>*
zL}~WVBmjD#NXaa7V*_9-gY*k70+EVpO7@>ivOV(-F1w$N@)O3S`~E_b>q!?3xj33{
zmFXxHA$PK8iRizSM8~<8y5wdIx7v&*eIoO(C7E&IOWmUZ-3Q&4U!%cd;}<32afBgH
zPzyiZ#dJgnf2qDq5QVX8^9tM%Lu7tglIihaZ0J5L#o&b@n{Yp)o;=`s$?!$DlQEfY
zOCko#1>qtiC^YNsNs?a-lG!NcnT-qbj|2C$=~2b{BrLDP>&Hr6DDp2u2$B$Z25+_X
zf=owosc85LssK;4)&e>wa2v<6k)J40-@xd2d`XhVr=?2nH=|sZ$sWSqk;fHLHpbd~
zR+=9RD>bPgz7-*8^6i<HiSq4iS;_qlE|(rhB_<}y?eAv&r!en;7*ln>68>FWxF_Eb
zg(Eys#OqL|U0CzP7^hUc*U2c`E5bKQ!c+Bue!|vXl=wGE;^}6&u)00dGzIe3=1MoG
zYD(tYQ6@9+RK?`csMz#RI`tMwF`n^L>{L2)Q@r2ZhFm(&QgUzSI`*WzB3o-tsKmZU
zRI_Iqmgl&Ji{P^Q@LmvOOyfLbPxXA~!Hu=mWn0jF$cKb)Pb;}B9xWBULt-mEE-Xl{
z%6R5Fh?0I3rQ7krV@iT>dqGIaJtoQZ<fnpM<=Zey;^AL)-l_Bf1#nUVNYjewU`qID
zNqCx8?BPSnT}8QcSn{M~4xJD+oRye*hG~aPE4nMP=Oxi;8Wv-_5`Iw<?#ZSE-k!*=
zARcY1Y%{JaiI1a17S}yvw7{B%T_yHONf&8SY0y<t`@H#{X{W%{3b{(?wy1%(qN~cO
zTQz+(f+cQa8V*5{5p_NFK~qF$J)aJnu~&)PLt-TMdWKt<L>_^a?0vD(9%FUN7yUtD
z%n-wl!%J~`HI)L}hw#DySn{@3Y!u3638hX$#L%fAu1FA`B`2q@>;S5ye-BEh0o0S%
zJ7uF@%P^|se!s-pGhBHkTftNT{D1^NUmb;{s_jos08i9YKtI%uhRoQf<UWUTS?u!^
zgq$s)5l{*LQAs;>WYajPWd9gfh-VOUvbLh368#gRPUv;5q*tN3P#)sl8$1h}1xq8u
zJ)Of3gE%83di;{f>1^y{A#P(g%jU~qM=L0u2>(aOl>|snqO7Werjy`q)8S83ex5|R
zdS0D)LP8}MCFo}v7f+(hW$`erq<#dYG7I%ofCR~TO&H$W3>Tt|2IH#4t^j@k0qhv<
zu_Zyi7&n#hUy_7-QcgkmeDYK_hC2(0u73sP(ukQR)sDl8?XPjEo`gl<N*z_n{0%PC
zlN<{&nZf>+q*G6F?2u{2b4B)dB++TMASMG!`0q)=J>fv$?HMK%#2++OwmCp3iGPF=
znfs+#1sxic*guhU;Ynl#U09)8iTzWN?RTIF=|pxPO7=TD#=;<Ow;z5S9yP+WwO^=u
zMjds+=XI4&J^l&RAZsi4TO7b@H#jU*Zo<`@^DCueD><K(<j_mwwkR36s(l2vM{r7?
zl0<zQp;X*CQ4Lsl<Y4%JQcb)~d?G)`gnue8t|*&<2Ns6^g36%TT#3qMRNE-e<d=yP
zng0^oL&iEf8Hg9#+091#ME1Wz*)*QggQp3?)mLG2`2N0OV@fOk8d2<_W+hU;wr=43
zAfBtqa{Y^V|3<>2`EP2wDpOGn`nM7QJyx6m0Lcz`DZc+{QkBpZ%)gUhXbO-31E(~y
zY6VQm|M!yo+Wo&jna$;P{FQ`5OWz6Yz#}D)*!K2lpZq5Tp{7i)DoTLB*B_~`6KDA^
z9HCJo6asC;-*5=Jl9bR0Fe`iw2x-FKa{2T<_X+Y<Ke$ZyYwl>THxP&$?@KrWy-_f=
zDNghKI*vr=x(P`6dfEP9A6DmeLaw~=6&$8^gVc(;dLzYXusQ9)k*#8PjY9ecj#Rrr
z8fj}Vdy2q(Glw}-H|Q%E^){XUWN&{m&c^UcAhS*1%E4*}<XI2iG>m(b>=u0o2Z<hw
z&rjhz9lj`R8Ip%H!Z`n3D4dM*G)eYYnIyZjJ)pk-I!->i*F^x?FK^^9XJdO^gb8;2
zn>b>#hRNaotsLfbqlS56!P_}j^k60`k!60ja0Ge-daAjp?~Cc!yAjGx|7bP178nfx
zw@WC^I>-~--ow?m+Q=9*mK3q?;c(HZhiDIcJbj;}zh)-k&Ilinz@p=|*di(2Il|Qz
zJ*2uo<P>*VYS6hx77?E3oRC19HPAWqJ;+r_Z=OwcVH`cwGt`Y&t_O}VU0CNh%^X;z
z!_FLXgTqBnfJIAGaIWn8A&z#V#}-L2*uXl*qaeVj3ehSf?P>LJ=Lo#Y7~WHQF57`E
zxaw6%;}zKGP^M@~=;O$WBsjk0$t$<BH?58@E7?!-7W)QFzi`+v3$4(VE``wN2=sKE
zq?V&_Ja)yLcPmlbOcB0JFXviGD(_F4sf)Pn0awW%pnO)m40oc&P;C)qk5INfn5WVA
zly4OMi3CB5=U!cR)L*NxqGV1bnRMyEFB7j97vwG^xwN3`my4zC{1S;`Hlyf1i(+Xp
zgDxP3g{qhbd)M_&cqRF}x#SczsIWtdFG}k7aj7XvU<tPp`T;I995A#ER|AY_$3Mu0
z(*tdO4V(G2BKyN!UW&s_Go<@WHrUzK6I&(tN4Q|Ry~Iz{N{f`p4|0(y)}>QbbAqfS
zKhGumYT$Ngld=yb_d{GRU5jxkp&C1R6#hw+Nrt01s#K&o%~n)@ic|HKY_$q3xw23E
zbW76Zu=BHAx^J4{<c`uE@#iBPBF;}N^)Ltg1ui(80bsPS1S?AtL&h&5f<5%nRnj;!
zlm@6@k%ZS$zQ;X(jqAv_EaL26$6)vyQXA-QsYnG$QR}xjdEZ>eNxry$(vv^^4kEGq
zsg^al<NEKl)|^m2^#@Y7#HDPOZ#d)gAMwWc){&fj;~%sCgrn3lUq=%2r(8T;fv$`f
zuVa9vXE@L}-=<3wN7b4-2nx@hxRA~g$UOsM&mUhgCk;yICy*T(t{n5#uw4HXLZN*U
z(U=Q3%0Ur`&W=@RpW>Q#m`@CpP`y_upXMlz5=I1y9Ay>GXE=_d9vy)r1`q}FSq|e!
zk0W4=#R4V#b6mJ1VnhhHqPYV2e47ApMz=Q@RWm*X@C6Rw7)~Qvz>+Zq@n>y9u#8MW
z{5glHZ?ke*rf~j(<2bU`2yL0UnUemOTzY+v5EC>7^VbMtCuolK^N40BAZk=!ln@+C
z84(CPk5cXUl7!ME+Iunt1^8tNuzs`n_^MEDxD&dE7Bw7GZd6?l_Wi>k3!8mL-Trt?
zhgrM}cKBkDXAHBR5kr*K*<9cbvTSd23s!p7Riws3xk7juGPdvfaO8nb&YeDNW}au=
zozVoAmGNt3Ra9Yoy@cWM4!JE$rN+*n!j{Hkl0Yb+S0NBdATG%@VRuVp6n{FQu)hhh
zSvv7>OZd*@LScUkVpFr*XbV_KH5BHzbIc1ZVakbzLVYzyJ>L?ln1(3O*K$x#nwVm}
zW@$x1y@5k{qGA%1m7*xPo30<6m9Qwdw{ST6VplT#NNOERUlicY*AI{-GYasX9I!2~
zkW(9l+To~<Z2`%F&rEa_)@>ZCEe{ma9tC<Qg4$`1V|6jPi8KjPcy~*9jy*ofcswOi
znD3P^+Z(?;36g@pUxII|$vj<Bn1>OQj$4jJFtvU(*dFxN?fr1-Zhr!of#q*XDOQ#6
z+Wg@%NHh{A7ynTY-Zdji>y#Ib!N1!JeDeVmO5w7xXK}aO%F;@i*eJ9UN@v#5fEt((
zn)?HV1^>~5o07I?@S<dRq3L2D+et7VlrUWrCSN<HzY(Mr3F&Q)(N<kIsxEe+Y3wHU
z%30bgjztLLa+q93XGuw2g{#v@uBT+4M|LFFb7jXiHCrqscW9s1%9H}Rh#=HJU6ZXK
ziZ%W!`Hyn>uDm!XU(T8o%;Ox!u@foS2OX(Esz9FPAg*~tuq|vfR|x$U5!mpp5Vko&
z?f#I*YXvjlFs`~*P*vstt%Q%b@Y<dsj>rmSf++Tg>?l=-jfxJz3ScS$xXN2WE%7l|
zfh;5tS6&eW@h-b4yk`-QO%fXbdPa2x_}x+i9cxPAZgS2-71sA577doQ`->+G3gQDC
zf}V<2h6EczIyg+_yIG9wA^0|(;SYffBSmmH9(leq$DQqX*IaoTyuc~POC|U@rE4o2
zaI6hd@fVD@MKANc^Gf=UqV$;YE=qKVMOX#$V_d(EnQk14y#HH4{RD?{l;7i^%s8k3
zu5kc|;l}}pu}~rXLqxJ;p~LhOu&TPO0{O=hNTbe?69xtLGhBC$AQjmjTu77->nOCJ
z<7keuKmwZMB#i?6c@F4ERpJ2EVlRmWzbN%qBl8n?nyc3QvV`R*ZO668N>vrguX3F^
z&ecU@uzltV=+~v@I3`tbP~L6k3iCH5%tp<V(qsko+gy*16f>@I)tF4f#qV+$M-~_l
z!_EBnIZETk(4Fi`XMf0H8iga3T}T_*71|$jG{>R7c-4VN$=3c+4(8aXNWnI$Tx8ji
zFnkOplY}8ECWwL^>B7f3`6#E6F+9n_CpeH}t`VUnaz}vb@lSH`j*3c*cz2@kDa5f8
zg{Z7Y)|f(~e*b9+qCuy4l7!E2tvRaBQCjn+2%qIxj&+e}EMJ1~IS%Kj`^3QUxcPah
zml~LyJ307*gcOzR$R;PH27ku26*USt5#&($=TcMFumj-xcsb8B-*w8Se;pYpoEH3r
zgxH{I&ZOWkxdt5tx)^(Nqy&G>K^lw*2*M5fiyWh2LxgnTOB|#@;PEE|U*=d*lP=lh
z6qYL$xZyo8I?(!wWAg|#f@Mbn@U<w9Bmhw{%n(=lQ+|9$zX(7LnlDB1td<oOS_p(U
z?!TPtBx>N75zNCJstvE?;-k!!iT4dA-^fAUvgM9iMes9j7&?q)t8W1*M%l`-bq(cq
zwS>^2MJ4&$ksq-WUnhozn<p0)z^l0ed_gn<!9KpIU|!2%94k$>mhg-OcImo(N0E~I
z2Bx1#_DpQ2Xd1i<V}517y7y0^+=M7e?qukRBeC@j1@acIB47Q}i(nSql<=Fm@Y;%!
z7f%$-J2{N6*5+-4ipS)vpMvOc2w&**LKJ^2t3yiuZCrkBP00zmg1M8!_)1XTW@s4e
z@&<);H%IctQ7@8|Bq@;hauCPSB)5O_S-28?KZ+(HFj-Mrvd_y8BM|fQWc%e{#J-le
zrjonEfRJO!aSqZ%X&#S1#gUTT(P$0}TxYoaCN0sfV&)sl&ek}Rue2okiO~{`Bst|d
z4(6L;hQOSDd4c2jN{vCB@?>RI*ifo_n4|dC)+7|E;-_RkhO&wK`*Qq{XrKQ-fk@2%
zebca5G!g)MTv@4IVk%2rjY^L2E46KLlty~<gn%6m<*S<omBwPgkOMSoi*`*G1ok+T
zubLffi-wY-z&=Owl>>ul&M+|JK&eR$u{lR>cA3LOrm)Kc*j+bYhpm6>!W3Lt^c56N
z0zu?dNR~}1%?jXqIQz(v*?~~>7xDh@=OB?i;Q)~nfFIy6zA}tqSsoaEre5johuX%{
zPQ(23IgaJ4HHX`!u_OomQ4ZHkjRhfTlKEqZ#fG2AWXI8K&VcX}ykU{~hYLy046bn;
z`g($5vre%o$mlOT?Bk3D{}9EJSP+?S*iv~E_{W^Fud3x?T;>|Y|9^&yj~px+b=mWO
zjsrxd7b1Ye=YPIE6zze`+kcUxM2?TFEgD7g^Izsbb(QAv@Lxp~=HZbECTo$?w||{C
zCUT_Y7_wLYCP#>@c_PBGF}~1y%jw*|jnav8C-j9NT=c`=<xPkTfQ}|O^6=m1IFYkT
zACAK-|B!=4mM>gjEEoS{4$-hZ+B2E|f0Tpy))cK+ESZ7^lfuBqI9|iXd7{C`5sXEH
z$cc@sznnqg6TE2&p;S_(V-E014is7G$2P5-(+o0jehTH1s1P}|U}E{0|7p%Sa@NO%
zmuHmVNYd)DbJpu_RKENfjux52ax^&q)ZgvS;6Czf+=rJ^WaFLrE-lV{mcvC>=r~+q
z&ZJ{L$K|ICH)e-BV(8~NLgbu@x4=`!_(F>?I?k}5_GcU>GRfzy(J)dt`*V&|TW_8~
z_7@1l0$JqLnYYOq!v2ysCt-9Wkwv`<i0)ocuKCv-A~MS4dkR!*Tm_6TqHq$yBK<^`
z&BNH2IQz)issq8}EMMkWkKxh|*om~=r!XH_IPW;HjJUZlj$B9q^oF}Yk#sXgq_sJ)
zrLgw393;|t93b*^?WG*1S)b{Uz#`AfIacJr<7kq`lETj`Ib5@*d1BBvA{L85k#W`0
zI%gpIJG^0$a|aiaJk9zxjuSb}GH}fCm5kfpiPA|pij1ZX;XEF_hVyq^M_?}syC5Rc
zo!4{FOUZ%BR9bcF95T9DwX?h18}~+6W&@gQy^(`Q&RtzCmO|5;IZC?yktWKq>1`Y*
zaysN{jb}i4N9$lZI<ZLjE)Etsv2?XegGr(AR*u(Dlb%?32ZFI!7&)<Ywa*z0@8V61
zoLD-c<Y;&=2Xb89Yey4!EkO1x=6~zr9<uvTFbRZ_QI^Z)G4K#)9oh4O^!@2zGKF_n
z!Y)Gfay7UCgM{>>94vAO6u@TtqXFEbEF&G`NRef10ZEE+Cpkdm@FW1p;q5eshzz3+
z2uD?JwM`ryXIM}>%W)!|UTBZTk>c5T4pm=uo=|oXaabse98!f=IiuL4yg`w5c?m@h
zV2^W*$d#o$QgS5X{7<5I62>BZ-zD8ON$&G@MC!_k#LCRu93yG=#dRgF0t`4z(%>b)
z$gyU`fg&r6PMvvjsY&~2Iv%jNGv#Q$BjSa->r#NAM2#jzp9KeOs!UG|dKS@G3`&~G
z3N3U-qVML7iyZi@8<|MKi$sd=LkJQnB7?UNfu}wn;4O(9kGwciw(x@-Dl*IRLdm}T
z!yL?a1m3XsAebYA_>t>_sJ)E&^anX&<ka2UMvW->_46FG4aItV`$LGxd^>U~=xwRf
zzkiZ9GBSAi@#LK2r#RZ1<Z4K<5r^K}_b8rj`WcX6oNjU)fhW&*wr?x%0mQqF@qWJ9
zyt;T;N&PuwW?ydXco!6von7vY7I>v`uisz5Ma|XQg_Yc&m*hI;CR8qZJG@X~)Vl&V
zKM%%R*|YhzC}X(eu8f}w;uj?d#|9({u{+p;SNj6SWM>CJp6N};Fb-BVBqjZqCFzb-
zj!FkZpTjQ7YzuUsze2A2R5tC+V0~~p=#2*N$M^q|mi(%O)rl~W&hevg>HP-Ygh&Mb
zItnC1OO#%;w9aB5;Ng13Is7D|e-lO1s(+NZ7_#9q!NsV$vQcUKx4G0P12?3qQ37tH
z9PALjzsn^%j>OPjG$iMjA97XvJ{RrCz@4Ju0^h-9EG2-cEJnTQ;QjiAgGw=fh#2;L
z2#%F}HwwPVelnv5{>Pkss><<(ti24b{_GQ#f3zLRxd{@<ALEi!4I4RM21PR`{5Y3g
zM<4kenS}Kxxa2$2oIAgz{@RCMa>I*m!2cEZxhf0!B$pl)XAJ|-@4#1=PvM=emIr-`
z12|s0<}^UOv6ZOg(_E%wh1V?;UID*=5Vd8V6IB}d3<|e>Ce=>x4f7~|ucu#VucUvL
zQ&08!Qubsq2aN7)x2I3KDvZx@49DCcsGbsIuruz>7uGoOd5)8=r^UE<&l`;|U*NJ+
zt)6%7pP|sEU8}@)_a~!)m9+f1B;B!5+Nt=hE0C#J5%Di1!H)8_Q}Ffx*1BMT5C-MH
z<ho8B<XqnW*Icw?-;$F!j?8(85u(c%x%^ZUMEQd;dQy*O6<^}AQ$wScje)=h_%a7@
zY$ow4CnvAMfQ@j&-7MWo4V2h~A_`dg`C2Z#4*f#7q@b5_1V<UgtDrK7VW6}%^l}c7
zYWt`m>uzfmhF{4=rz(Fi-kdDPTir42wWjg$8&S9&%2FewvK%t9{vAndY9f;xBpdp^
zO_H6eY{S?I@$Zy`*CRgL&uB*a8cBAlsjI5V<e71mKGObtJz_MQ7-5cXS;-qE=BX;*
z%ceWhu<>S2Id!zl(|@Xow@I8+Q${x3e}^PB)jm*a7v3CT<y-HPWII+moPlZ#FG5ha
zAmh}+VI;RoK#pB=kw8-5x<i6V%{L(Ex?<N|lKj*%Kpxad47gX4n`-UGa72XPCkao@
zHO!HSNI%qubfeNhUFs-Gr@<vPe5q2XJA57E2&sz4qX?2Up5&raD;TQyvb~^_$kUR_
zQzOD`u?csyEk;({U6o{~CceeXNoHyiY1~$&l8dtvf@3R<GZa+uhS=hHNpx!7Rf%?l
zvWpT(YI?0fB*S@Bf=C^q@-h;2r^hA1sqwL_A_*0UCnfo*eOt<>)cca?RGmo5-j)PA
zc1AeuQC;%p7-R<sKx5cDqsm~n@dEb<Wsw4RoaN=BI>EB*L{dgva$Z76HP<OuL0s1v
zLWP3sq6M)+we?vpHqM3(wxto1`1IXeaIzY56DDH6kBhx6!N7_lt65w90GAjSB?=Ar
z3#&iKrQe#umsM4Nm<x;>4hy<vU6R+`egq}klhq_+C}p!r<p(+GBwsECJ2SKAIY3;-
zZE2+h5G$!4;vk9Yag<Sik_%2UYTlPWg%TU}rL%zg(~{`8nO~u7se1aelGM25w2<m4
zoqmMtH!e9XMNcPtU7@b|3tVno?WmB8H7RG&^q08sBx}=EO{*gKD_n3=z|(@IYT&PN
z>2V2$p%bHgWLE-zgNsiJe@MP?a!W10#U&>bFC<HP`5i7kZmMDErHoEeiS+ll{3IJk
z#YidRA8@%z3U?Pr{|F`9F)AtU@yh6*NHUZ14o6w^PbI-g3O0<IWHkS)B)JA<RuKK)
zB*9509jJ!>a|EEt{_QEbjZg~x-zCmTYIfB@{|`<!Y0#32p#PV|HYvSh70`bniA=Hv
z$IR?sN`m7SwTlQ8Q~Uf^5=vYZOGJ?((!Z84l2QeTqpqswzmbF|S#=(yiHrYRNobN)
z8v_fG{O=^mNoj&PrV!EpUJ{)|+Ng9A$$y2CY1~MnY{;c`lmEm8Cv_bNwl}T)7cMd>
zga#_If5XKmsn}JH{aY?Ksj?x~V!!4dVZcs`O^!nBOC-TbnY6bG`*o7|xRs0|C{-m)
zV#lwL<R&F`m0U;t^&2FFq-0$qNTKwbCHYCd=-fm4ttgs0dD3_*m2|&DqMH=?%Tkq4
z&;2e*c#@Tr!f8-?og_C&6;jXLC`pZ5=qha5SH^u4N~fKd<mWh<5a!Eo<zn9`CycOF
z7WRab7weqC4f5{*3C0HbTY^t_)PbNC*qKqSD=9(mLMo)V?64z)i6KjVS-O&ZD{rJD
z^g2Wr=YY#lqlDhUg*rOhAygj+F%O_9*>`c-jv1aqwsZhPNxqj$c9@YvGJ8F*5_?}$
zvC2G0a04>Y@gXiYO~)vfA1hLnk8;_LnXW?<=CMsB@feqwX2EKG2Uacj_l;FcCHf?a
zwkPI}h~=QGgj4mNmZUn89fwr@`f|m0Rg&yj3Ux^KzO!6`oJA0Jekm2j^P+Nva$ahR
zBjI#31ye$I-(Exj8rjqOfZs)^h(F5ZzD5qti}_$wS;o6Cs6PSE8bRIhwlDQu2hZ_z
z_Xe{W7%h$uu&7@;v69tO3bfun{tgclh~!T%;7W8!*p?*h+leqZ2&69Is#<gpwrH2O
zhz?WLBb`ln;S!9Kqs87B-&REhT|_}6Du^bR)g!W?4!#a4KgqUU2rpHoWKXblWC)}O
zveU)G{XHY{N+*RgMI7ciba|!**4AKqo3v+vIMlT1_O2Qrbj4IP=UEOz_wCn!DIOus
z`EJCqqj2K}!Hs#7X|;n|HR$_zgXmplH5z258+{7*0S-qG5U0Qm_6BgcDmxFa5nGpR
z{09+?*!aV;`$o8sfYq7x_V!^T;0(6xlg|5L#AP;rp;c_r*?vR>KHDlV^Slr8E`6+3
zM2|T=&#}+9iY@u(hY-~E&5c%J1xNi!-qdz6g=qIv9J5_xGArOJ9Q`yRUT4>VVtx;M
zi}>u%iooYu?bZ2UPj5n0&Hado+HRDZ?@qJcR(IChrcvq_L~J@S(b2dM$Aov_QY_e#
zVkIr58efko%P)gaBb%d33^CF=OByIoUx@r)MbadsyV4dnVGhwTPZ+9p{JN+dm+>cI
z?F`0)?f}jn;tgY@aleV6c3^RtU=rp650*WZ^)?4^*BAx;Z3(m$rJ5s!QtIy_6wT4-
zMJ4qN1d@0&tx-_F&!JjTq&yZW$Uo$e^zxdTtt%cQmh#6^r@8XBBugp3tOJ#5+(#wA
zhaAzdl)+<#;Cl4Sut%zzOex@xNx<~lqndhMj0aCIvhK7uA54gHKYqO-`*2{aN{dx1
zKOsT75@V_{bN(o(cYu4-;qH3U!cSf|I6Ey>t@{+hu|d6+7-J?73hUD%7QJbvrojm5
zzJmOW2-!;S*{O=c`>cpZZ!W3XM3SK>u+NELt>{xoOcdnjMaWi03Yz08v@akU9h7Jd
z%1|XK)<7Dxw?7zV(<)%yjTzAY4f2c(h%RJ?WfgUsTyp8OO7Q=KL`mx7%&r_fiEL}s
zR1p6!*M+N61CDMKuCy*FM$ul<j{krlc9uhTi6pA2V`dtvA^(v##5op6H6%BjvQ9_Z
z^Pk(sl5-5zuK&uhoN0}#U3pf$KIIjSrNW>|^Zq}CBxd)BYuK-kC>i66?q!bo=ygDr
zO!UPFZJTIz9l&SVD8EPwWs~Bm>h70GJT6`b9?XHho-1F?nM=>aTR!uOHI{wlNDwx(
zj>ptr^_5}ZaqMs644i|IUk4j-$rikDRcTCgvTs2s;$+ULW;&AOT;I;y<{Z;&AToP;
zHOH$NMkHPO?C7-|xn{@|k)`nQ286W3N1M&{80}5Gxz5bc-?7UOlFsxtAwo?>n|%u+
z5u0^R%aVa4lf9X@%sJyt2V@reP7dd)%LO8!ph%y=b~td&U?2fY_Iev4+V<LFV?E}2
zCvR+W#(BYbjge@ncOwX~)Z}DP!jO#gy}Uii?k8d~`@Ekcxz+=m_9-HH#^l2s(>cv`
zxuA$CS>+Of*;d(36FmlboHy}yN5X}_&No}Y6{A$gWd{8S&Ilg_k;aVBW#1lg9pcHD
zZV`YL<V@__Wphawq$;jjvW`HkkmCybiC}!0LSb%*n3qs^VKq}D8BN24O<>t{-i19N
zYE@&r1?$O^aW$V;_zxjItq-`SA!*>#%(EXzK|g}fwg<TKh&1qhxQJ+gx7g^%XtOU#
z*sg-F7Q#G%n{H>?8$Z>Bjfilq=qBvz(eGAKjqXaou0`E6;Mro&c+U!L@1_LnN{Q28
z^|y)FW)fmM4eedtaW-^Uf^EmB@{MQsTE-0Dl!}FQ8mOL<uw5gFR$GiwStE!trLhF(
z8bQ+F<UvxQK8>g}V7StaG)%h8rLg84i(YbGhRB(^Y}zqe2|fzL87W67v}X{Fh5vTO
z8Z*C9VDINmYX`|(GEhk0D>kd0QB7DgP?&#L#B8VU>_r0w`1eFWS3M)mFv+TcLi_t7
zT03r#CvPN_UPU<Sa?0LI>!%4qhI}0f+nX?9`yhxj5;l6|rj)5XN)m<Ml${5NC6xk~
zM3v;{ktoU3=pN!!;Uq;<2p<wP@5wnMnqW<I6wXg_m3snt42T?371&R4F#2w)WW5y+
zkk0vOM6uH?k4wfhN;wklE}`qps#QNL;We}eGmI*bk8ssBGzRK_3gj0!h-<GZC?rO2
z_V}Y<ehFdN_|s5h=5U};enmv_j6E^!5yk-p_G=<oL*>~6fI|8W5y`cL7}-rE@++9%
z5@8x@Pgp5dV83%c!18zBl06y<?Ds^lccO=v;l~(fwjrG1F*tK=q>MHh4l;iT;*3Ft
zp2H{w&N`Bu&T$k@hZiODkC7r7UR=x1A+cm&QL;ZOHovxfGf*k{A4B<c45vq5;&oz;
zS4#ZHxp<eC1$85jR0`%39L9BQBM4)SQA++NQNBG!xfahO5VHPYX3WwQ#{bXUyMRen
zmFL13l;J*dzeB+Q4wvrXCJ3U)%y4Ihxxpw3MRj*|chz)PHFcQ_D2k#eDI$gnC*+WW
zKl#bQkfXo;di2*v9y#*JAO4V#a6-b76B151!H^h9h$KXk|9!u;_GRt8)~?-Ed+&zF
z=XJXF-rxJKZ++{&_S(<dI9zWz4CHXMfWq{gjmbP4Y!SI0Z8L=8c~ZpMjG;NOok~({
z6y+Dlkx}S^pcZTnlO((tH$SxgZQWL<8Ty*G5WHl|hM`OLe6`|_`o;XqHuFQ5?Rk8W
zH$w1=jlk6#9T>2Rpj??~m#3=RYsM^wq~}!|-SF<h+sQ^W{nTcD=;GH{ka0Y}3>Mzx
zED3pyOlI5;9a!yc)g6s$@KUW1ylzX%&^h1kOd&%IU%injf!VW_6ug<Ci{ylW#-y3s
zZ`o2XbTEZGv!Z{u3vAV&tJgQMY*@OnLbJP-X6Rswc3_2L4=aaja6T|8M%Psc_OcQT
z?JG;CRcQ9jmd4Uu6`JK%nv)#e)tOdhVb<H;=6^u&9ClO>f}v1H_3Ts@#xJA64UxC<
z#NMG4W^_`|AHw9gk$+<N2y2SXxA=qZgqdPfuh)<F>KZYBG|fl5Uhf-5dbsZ^rjMg(
zvm!QM=T9lyoFNv|CuC&WtQ*DjNpaIdxq~N27@l64kzw}J4a29!4Ik^sKpwde+S>bJ
zmV{M!JX8`~>%#icalHO8iBJCF6JuCkY~aQB;GGIFcNWz|zsxz7tVa)R$`N@NQ{K6z
zJlCkelc$2kvy`M(te<aF>l(E>IHutZto#M<1dHVhZI(}V`2p*OO_bev^8>0U(g7bb
z9dL@n1p3#Gf%%cNvevZXs_)`f#;<5Z2IXS!GA7Tc?_8xM$)qtL7rR%|Zfs=Zsy7mC
zoAriRUq|a^mE@XeOEhgCD+|SjIEAaSPNdM4qgT?!_Ga3SR@SbjJkdIXNOhr&H-&`d
zIvdMSIbc?=V*Dd<_qh6ni3x}fi^cfIXgn4?Lj`8IH51$AjD$zW+G2bnZhR<*o8xRT
zU5%R_%Hh#5wiutK@n}E}<?rzLT1;=VnI6h1=Ga<{H*CgTuWlvAVbZu-sBX4V4d<fJ
zm|9GCY^H~*4jkiYVc9_zv(6kUfTCk*F@B3J2}9+wIgS?NpRgGpN_%vWE9O6CGe1<$
zh6lJ}`ZF{gtH@k)u89F^8QcoR=d2V%c_%us75iVX+IJ0#5|dyIio|%&YJ4dFSO&C0
z@x|;YEQ490_*E;#3P%U8-o}U8rmB;u1^l7x`Rv-=2Q#4#yld_t{QS5&%`m)-gUz1d
z<Kx8g{S+AO%bUmD1!Fjief7Sd#qa|*!{(8K35J^s+=FE?`=HHiYP}w##qdKm!>+~p
zm?N+!usg|*7*DZ>?$1Y9cpkR#xP~JJkMu}kJ@nF&*L9Sve8gtibu5O>via_&*nHGx
zb5)A)RWAytY&2AU)n+lhN-qZun_sutbWP&LQ|`z-gW{Vuio|kUZ5ZXa!gBl_SP7M5
z*Fan(>gUHdsJW<1EatvPQN{?()vhL39G|LAS3(C!i_pht+3XRx>h&bkDh-|^#q#5E
z%dP=`lI2>bI$v&Ad2nT?=~tG*@B|rREo)+(Y4`OwNLrR8JQ+_yVz4=^Z>#Qdq~IxQ
z3S2WRIA5}AoNvQpu>DQKCo%5+00u*G=Nb^(EsbME2?sJyc4)UYiLStG)1RIa^M6FW
zMjX1@X$Ql4l>~WFZC!0=&0mKT^Zz|&-nA1bt$AZoLOA}^>T=iWRcanxU3n!ysQw43
z%(CTL(NE1|PJ{@}|BTa&?6&ZbSxEjO2a@nOQAqw5Nuop0k<-FsnvHz<-!__&bH*H+
zN_u``BXSK*Q-?rw03%d?Yoi)DP3AyMi2mM2G;*4v14^O#hg_(llOIC$Pc|yos}8Ai
zDrrJNX#d$pJF+vQ^Jzl$ucV4Kmag|xQzy|rdn%0oMn<#x8@VipN7q8~j`!P=<=V%c
zI$4&Hw$Q!PN;h(jMMvGjwam)p8mXjCnlS<wqP?v|Bm2-Y8W+0#taKySRptb>Fuj{h
zW(1C$Rna+LAv!2dG;(^(`Cp+qG*07s0W5VmIHn7Q?}#{`Yd2}Lg{ch3qSZ?FOpk%B
zP|wsglDF9z=R4Er|Kn{yuN@bYCCW2;qpsn#)#^2ryvBG1Ld>p+nRU&i4Ki!=KE?LQ
zv>mI3T^o)D+BbWH!f*;1%$RqD;z0BE%3WwqkJGq@0t0CxeP^-1iuR*j!J+dZ+?^Hk
zXT{|Yoe5^eBj(>5H}4ua4)jj6H5Y>SksuaFL;EM(tcv~jTkX5nBL=3y(wqv-2dy+i
zyDHj@3dhA(4%aNfz@!+>rx2{Q5)ADtOS367msx2}c1+RfGNr!X8cZ@@%BuJ(SPE6e
zuBeHa7~kwqeWKFb5ZO2-hSyV~Q6am!(5Y;XtCAIIRf5y(gmWV~&HBzY&6JKbTvrIg
zmN<hebJH=HwYG3<jdQsAU+FmPRkv_mALnxQ%hPe`yS%npNNylWwEi9~Nje&AY&XS|
zbbY#lVUOzZ$vNy1FVjT1(wHi9iABDKVa&KmLMP+Yt_?X+Z}I~e8*Jrhnl_Dc<XVbM
zGHDz-C|YZAt*-qniH7w>Bg5xtJDTCHS?WaVmg3Qj3wKRzCYnwt6|IaY5~8#lrx+?<
z!`l%hUw39?nC>w$_13uIv;h-7MQ4L8$Zw-<BgkFtel$yMrsKhWdt7_kYTHVnRT%!c
zgB;PIPaBz57EAEo8Bd7ot@u=)N+<+(#i>Thlvt$RoiRZyV(*C)jO46@;(TwM%C&SB
z&6l7nwZT?2?xSU+Xt)L^gAK<E#{F^Ki|;Xcx}zJ>r9OIq4AEkdHjv`JiM%Z-6c5G|
z;hNe>;iH5i@lc#-gv^K)h=(&ZA1e-z#LbW3ri8-qXq?Ekdmx%0UMLwg>sM*dC<3l6
zB`$NaF~P9;^|;3OB=-_qWwo)vUt~Rv<EL-IPH6n(THM#dd>eA`^fj{I#girGz7tET
zYjB!ik>wDt19WP^7Jf1QJsOV|Mc3q8l6`zw&rtnX+?fNq1~x~GZ^vgpkO%(6o``-t
zZhJrtWwmWD)xz*ZoWcB-uIGxjSHXoCnoW)lEIIiktr|f)U|{7i>NtE;ls^?$KA>iG
zkvJmeX%a*uW<bN{qKF2~GjZ_)DpQwbYur2=H$R}u7nr}?du`+5#?(gdZ5T@)KSvHD
zk2j^PL&g&*l5+g{c&c2>c3#wa)m9><BmZ9@T{Qn)`y&=b7>$M(;|X)U6TK)NYizs}
zCre#%^ZU$}P<WXpjZjEkO9d8_a{iUL=G09?h{2K3uhM!nqf<8xA^XvM{b^iw>ZT!N
z)|!p4#cdCmzYK~v=Uc95v=?xoeY2(V(`?vZr*R`gQ^%vt_BfXC==*ZD!L=)YXf5^l
z8}Wn;m>x?`NKzcV8Rtq}psfjWMATd4iAGfV*2$7R<I&jK?LttP)4i@0@mQT<O^P+j
zc8{|Rn5hXeXT7&e&lX{O(6A9<u9LH4>Z5iUU3!(bEYp(KFx!iS(JV>bD8@J)8NaWM
zWxzng?Xkpivpk+Psbe{ooP-|YfpMPH6-|sM8pVgiji+upV#cize0ZE8b#r$`qhpKR
zqiE8I-P9FUU@=|P9!sid)DD<e3*yOSW5`;I#_@3%rOt#9MM4an7-vY`euo$wh3-8z
zC#7z`L-wQ5d1_pC>h?Qi)*6>%aoeeD)(tIv7?dqK&!Ax=I#X8*QM*Y^>Dh7pscX|1
zk0WExB}X*+Q&&DQmT2~#A5TK+xQ`jPX7Yt`h5@rTLE*g=<;hz8TtuTr2D?tagj?my
zKmI5vY%^U2wAz*hsR#2>K4%qlN!(GXqsbsisDv($bGUZuBs<O#tykGxmAXtDsfb4E
z`ndGe^`~Lj8l@ZK)(5QI22r}Dy3-n@TWHe=($ph}kjZp0y4B|R)Zr7MbB5^kaWAEA
zh{GHS5qd+MBK53Ln8FdDH`)B;+9?<-0%3w^d``xNr>>^McCFz#9XFm@^jdwuv#p`5
z(XJ7qsT<0O*~EVOTwK0uA7aesQJ#d@X~t<%hi8<=5kD<bM4RK(9ik{nG={qI1f(7@
zM{Qf<XlI-tbz^)Dx5(Op=vEpvf+%(47`B-hLAS+)r>@-$l7#TNJ<gH3aWps_v2zFQ
zM`I^-<7hBM1Lw}T^wf=`Vb~fqcg3v_*vu0&j%!f+%rxaqMO*CLP18o~3|OI0vYZ$}
z_rw$7I_Ei72gMVSG%UC`&Xjsu%EIJ`ru)beji%I1rG+ONQ}@S{k-ErP%v&StfjCF{
z$ZED)RUFZUBLi%a^&m|T8CfyQiIMeCJQ3+5D^8VALp>a4N*`HqCP!pFLYCnpE6x**
ztViR?NFP~o^VZ1vYMdi=WL=IgAhfP-&ftHx$oe`>8<CYdyW^IVDw1!;(~vs5EliH=
z{x(^L&Tb1&G`qhWPe$tOwwSkO_xIx*sk8gqM(yS<zJJoSPj&u)riaV!xaFkm{$V@~
zsk7U{<jC$Hk!9%Yw(vx=`}g9>NS)ml^VaPC{WwSJ!Pchc4jwsxCH~rE+g85+kj9M+
zPd&G7vz?UXe;iLo>H(OQ%aQ4SLY`=*ryg2ZnWEYLXYr(@j$SK)HRFFAXGvYoF+%b_
z5p2u$Kc{IU+f(b0TXt>1`b%3zq;5VeJPEypzl!@Rb?4f`l(c~T*Kw-UT~P~FG`9XG
zZa#IDVli)xtiOwMq#oCE{$_)oXtssc&uH5St<*J&#dKn4^dIBNNS*06u7vpdd7LWs
ztd5P!QFr|dX`*#k>Vdh9C>mbBh$kfV42I3VHNO5mPLg^fU9b(>7G1yefoOE4&hePx
zalJjoJIu`76Z0-IMY5v1vX^>sKTekrUVD<v+})8nSK>sD;M&KMqF(B$lQ>N@wDylD
zBK4GH+`2We4v15vuDHUlo!CO_VA?h+uGC8y7SqYWb(k$HQb)3lE+M#%j5{rL-DRV4
zgx4{)G^MV)Y(&ujE5#F%x|G=LTSII`oFw(~LsGkVGVL1Sl{yn5W|KPEr^MB#E`w1T
zM?RlUib%!SOWnVYl34R#RXi1`i+PkF8boKsZJ#t{|56+rpw`pzE$lhJby&w&A<l)B
z(5nyw)rkeX&okL=wQJk)ac>;8UskV`cyAYo-Sfq{)7{3Te4_aao&N3pp6gsZQ{VVi
z)m>{tC-{rK3u(`Yx`9i*N~$&{F9iFi4~of);tm|R!zyC4xv<Mf_3F6Ef$frMQXlbH
zp2jJD&6a8X5?YU)88L9fkV!DzYR=<4Lo*64kLz|F^l8s4o?&Zv;;OjCMP?Y!jWkuR
zkK0^ihQ$)TF>Z2^314U~7zy7Jw>a>{6f=ilk!d%qZjD<VxCmuhMfDLmK2!?9^>M=k
z7Z**#mcoC-$VO3{c7qq8MCna&qXXMBrL;ZUot~bn;;VP%$=PmWn;BJ;v>QEFIc1jZ
zsI(eooPMkeg^^{`HoF5}scWfEj*R25q)sjTZF})R&1P}nkX`wp(#7Z5=5csz4O%Dh
z6*YXWZDuAok4XsTYy@eY+?|=Jwmanoyj)do*KYA&2ouXqo8^=h!c4VM#o4h{F>ScG
zWwV;Hk!fzPw&p5k+3niwrL4d!Q&VMpovwp(rP(H8fveIAy~`(F*lDw$vc8$9VR!vh
znddATKDc#sn><j_uz8!!X3DB|b9X|Hpba1PC5gYCMvWGH;3S|5-RT+*@Zg~?<>oXu
z%uj?qnk1I*u*n_Rp|%)rcUrZ^Oj}M2nLr$y6~&!4nt>ZHEi`kO##SV#lueGiY#b?T
zdc#lX2}bJAyE8M5@HSQ7V>6wyD`}|4;r!Tj5D|W_&HBI@cZ=UyF5BfDwa%;xr&w>`
zJ{wcYrhq5R%va~pXN%W<_uK5Ito_s>&SjojRWnQJ12(GzUo2F9!CL8bvo(+QuvTv4
z+hIHo9|6-T<Ja<RbH2$+x7IQHpAXsyPfIoC7?+0EsAL`*!5WUyo-rGkhi%qU796qW
zwc%x!PDAJ;Hq!&ARFt2w*#Sqgl;<iF)j1rm$j-O7sksbKGiVx-3jI+V-Kh>QcQA<^
zIbO@temRGCUxTsG@Xi&>7Bl0VBsC9L6pP=Wyj0bAvQgt`MX~%XT8<5GTuX!lteeNM
zi2d)-zBxDPYTE}Gk97CM`uAu(I-B5X;Re_bpI|1&AB#(Ot#b`BZU5Gousm){!jS$q
zM+IX3iFhJhjr4#-*yjj^<jFXRtA{**BzkP4n171qV=+1;0~Y6|krcnS5r(JZ2^ca9
zV7?Z7=Ua?F6E{Aj_UIwpV*Xj0&!`N9&z2YC&)JL*=^FE>cQOCG&Ae+SdqC(U9UCrW
zFWAV2tSsh3r{jz97j4FetS%gf3k%On<T2~hA%iJ;c)XZ@*_MnU^V>WIU(CN^Ge4yM
z=z;!1@T!f#wR$)xpn~sgi0z-!cB~p2)_7&7(PwxqOXKaXKanNMU$+`}_2vh;rLwa;
zi|(5GTI)o_NpECIg~=l~)tgqT4e2{=q2AWGL4z>`KjKp60l)sBOFa3OmD9B?Wq>CG
z&Ne!#YR<m?yC2+bx0Q7v+YSGW2b`-DJb<j*Mpqa^-vo#5Zsi-Y664efI?33198cID
zRwCDG-++W+a-w`owbe8;YA-8=YcEU+ibiz?Tj91x;$dGa&5$K4hzAvaW{Q?usfKh~
z?90^>a0gl`T(d0$oM!pvpO744B^k0E4j;iS)(^K@A2JD+1Gt6cC@aa3?O62qZDBap
z%HW#a8ITjk;oD;Vc&qs#y<|ChTS!i{lDKAIx(!SOdLIe&hVGFu-!U9ruY}pq=-M^+
zl4Nf@yq<rxnkLwwmTSF6S*T893XEa*W=HEXB%3iF7s_#~)2_{!)*Pq{@tGtxJC<1|
zHax->&U50NH)Nbri6k6kfsYMhmf6VN^T-|@IA!f=b4V_!z963J>oQKYt=xRTmfSPa
z5KHwEF?kJ(;>9o-DvGX&9iwoBjY$Vg7d(HPfLLBju|~;rZA3|D+$d<ma2Xk5z4;MY
z!VxYkSCYjnRj%omlnF75u8^#Yleju<DM@UZy@4#z;xb}l%+eu=*&I*I!A6iO2l#!X
zix`L>#zUb%Jj(XK_)M#^FzY{eI-mQP`P`A#=VVgZt2vJ2V>g+Pjk_Nkm&NM&TDy(f
zr;J&HZm{|*rY4!(=tB4@2?kr$o4d7E)n;qjX6sPX7E~DNIhX0Fo9QtZ9b4Wb^2y{D
z4)(`%x>^y$RJyDZ2VWQ!bMrPGhZs6A5b1E$&vWaIlyS2u<1ph1z16E3e8}QtKGQXy
zd5`0n@d+&Cmg6>#rj1>u4YP+5JQKCS-Q^gd!Xv@5h}iqME&Zlb2U-m;h=|co+KigZ
z*a=3jQwPQd86`G9O`Aq7Yj(ra7>u1oE0#Y?%Vxc2E`y{p9opX{RzDxNYSs<dUeLxS
z057VpWA66wP*68?>tDv-pXjfwe}%vQ4lVA3;}cOXFKKkJ_v>C<I)%@jc;;@q&E7qG
z_ZPT}uKrEly?g`5=4*KMbmQu`gR39o)iaE%{}5dLD6igVTs{6G-}2eK`WfTuY;g4i
zUj43dwH;i&iC3R6uKu^+>IPnY$64VNJsn(~;?;eOt9yP3KdJOy!K>#RS1${$ZsFCs
zarL&~>IZrC*Nm&54X&QSs}C4ge-K=~j8~sBuKr<g^-Ny<Q{(C%2UoA;)gK#IcU_F1
zREjq9>h))by|M3V|LSVtHLh+Au3pHi?>r~`?C%6uSMlmv<LdttT%F+6jmFhq1Xqve
z)z2DNzr6-ODa{|^)q~y}=KXJ%_*bvz)!#ffeD#km^RHgbtEav%eD&bV{i|cVdZTgm
zxZvvhcy-pedO~n@E3eKOS8ook9?Pp=F|IxlTs@Che_~u+a|M1<>HP?=UU`04^KS%K
zSMciH#?|M8t5sfo%(!~_mA>V3c=aHBW-}<=+k&ef=G9fk)mCuzVqQJhxcZ6U>WRGi
zA>-<&f~!aJ>RRLKtHD+Ip8S2r)kCks1Iion<!*i+J<xn+a8*7#$d6bDSARXYx{|#7
zkYI52+2E>t7l7Zk3a;LGwa+VuuJYve;OY(Q{j0JOh?|*%tG@`Y$|L~S!h@^-@f!bG
z847VMA6)%za8<g399{%h|0KBT_xXaWe->Qzdv?Lq9|u?c4qR~ce+O6n?oe>`?}Dp-
zFD1D8v*4=V9|^AhV{la(F!nTpt9zq4(fRAQRQ}cO?D1Fa*6r=y!o~<TSMNa8{)xW+
z5lbulv9}L8>N8C_9KVep^i91zWYo)FR`&Kp9}RoCs#tEg3w*P8_x5Wq%+?w^@gl%v
z1-;SU0p%^|!?e`_5g3i_RE^*-<L=&a?4r13R~ehj<c2Dm$NJ5Pr`|Hv^_%PW-gSjo
zmsawNOcAfw@8Q3`1h}*Rx&FkR{obDF{3;z#y=%<>YxeH?-MDRK-F&vUuWFP_ZtM4l
ztnbmTR$7y@{rZFW(PeU<&2m#|Lj@f+o8B*nEE*!~zb$5a2W{Aeg@H!N(1yhAyQ;EK
z8%I{Hs7;;Oub)Z}?aqJpcE5PT6@4b(yF*=t#7Bj!w>zHnp5Q<ICqBAL?QYz`u6}h6
zTSv?6+<Mzu#v2oJwZ^s;xCtHUF>Gj|Ppfldo#t3)wmMebi8UHt;X`^pZET^oP{mW&
z#d8!TzW3rm53j|;dV(x?*n6%7(vpytI?WPDOCD({^jyg&g&R&vl_(_-KKhpO(O9ad
zRxqU)Sm?wpqXz!j^Zx|_8`7Do%`ePV=c|p*SVderIg2l;PIjuTvAODYIC-w!nOFYS
zY^Po^;EAg@Z&|0G__h6Zd&h44uNOR3s)#ouJS9G*T+AT4Hl_FmP7>ngT?qt6Mj+P<
z5Bf?+g-*dL96}m-EYR#d7RuLtFL**SpV1KL^+F>21d?#kDs1uS&NpOj&5Px7b!Ua{
z^I}@v!nyr1FLFEBO5Lhe=KA%+8M#NPO;YQ5ix;0;yj#LoOZsZbzX}m6QixDQh`}dS
z49=%`W(D`iu*_kQJhp)CecY3bKf4_LBa-k_P%c$zRhNRjHFLFzR)w#iNHVXuIx~Yk
z&sGWIN`bhNC_wmy#pzP5F2%*ch26!vLnV|oQ<!K>W%Zbm*CC(CzR^j1$hg@+VZ?NS
zxMgG5E!i0Ec{as8D&efr!eUEGY>8q^Ixw~S#79xFaMP7(+!SQS7)?m2jTZr(_LDaR
zapm6~Dh*m!zZbf(#2clI1~+;MV7;;>jY`bB%~d8D$dZYu53zEE@%C7)VKz9P0+m;1
zY+CGdz2Fhi%#T<rs#2|CHZvX-(y%&B8f>1H`jKluUUVI6^Kj^{Ug(Cvv#k9@PMaQ0
zmGAhhmFG@Y$9`Rh?Z9Kx-A)&^1y=37eBT`0%{tYu_9A!pPF6RHqj;lV1LDS#GK-+C
zQe`TiF|<9I{1Dfa^e8;BTHUc;iDYc3yTT&-J?{pQB{xVP!4pR{r^tIcs!af)bf<I%
zkF~3fHr~zIUKR3w{Sr0;hdQqI4!>Hh>6KP)_MQ{AQ%G}QoJQG0UH=nR*Pj=^1syw7
zK(*;zWBfmUFp6;>ELnziotWz0-icRelch_vNyc~ZF1tvk;`7tW3D53_1)Xda6u-N7
zvQ^Txp`}@0)M*w`7$(3es>c+LXq{h&JFoW+#}EXGuawrK7=@#j=|96l#i&Fx8#JdD
zzGISa>K((NMSWkoME8|r%&RTT*r8o*s8-%63A*m)NNHO7iFi#7VXV`>YO#;?R$bx|
z!7X8zs5%D@6Qa`97}N+6JT-37JJGGpO^xkpc3Wf39SuXW)^=3VExn^w(?IDXFi^T?
zN5hc9+&RI*sroj4yRCVaM}O`uU&kR!X^q#w)1IvwK)sETF5jR-)fhE<sN-tyP*mjp
zV<yR|7SRjMcE`Ux#&VeJa__JW;Rj8g{TP;hm8Sh5KdK6p0g_x@X?L`$6&xz-b&#>e
zxP@U}Q{|?*hUV)6){2LqAFnPlXvQ|lgYCZlo!xQ?ChvE6{2=8FgF+cYm3Y`jj^TS3
zTJBlF_ZzXzr-pfixm{y?o(%;%zf<TMsJ<^9pp~t>IPLvC^VX6!EqycJbV*D@+qE`r
z{9qBPYYNg&G#g`js${G=tvpAmtR#5X0{*D9Wi4--9S$w};>`mLiI**g`1_?|s28$P
z^2L<2m{N0E<p^w)w3w0>6WBm9&$K18GRaaQsbp?bN2P=JxhA^uDw;&ZF&8J^)C;bQ
zOU26}BcQ&(Mm;%Oo!sU#^Q?oh4$gyYtBMedW3mHGyYb{T>F)0NH!3YOTN1OX+Vjmq
z)g?An>g69_R%M!l_R1WPzj*;5J!f^R7I@|+d247f5B7p*wBtxt^2q!Qmfp7}gKS+%
z8^vu!1yNeX3u0qa?Bt+)H^(O1+a<zPu|D$R_#JCDU&jdP_l~?6amB|=d>q{flydJP
z7|*de%CAG%Wz$^Y`b7H$6L7jZ;eFbuabHi};tlxqEy^P*k*wBN*fe;w-V~-v>T-|e
z8a=bw^L{CLzqk^m4P5|V&DG}dMnCc%MdIde6ZH}1aJ)omJMQ~>9@Pc#tTrVDBQWJk
zl&@h{s$NaG+^5t(_xxW<`WF~nY4ehAkm10W1yQiH)q{Pj;cGqrXUPTc5!fF~w6C@y
zqld3XpI(b{gijK?q32&KdDrwPS%yJp+35VhlMNZvZG@AGfn)u!yNug580N-ZJ#_<v
z&c7iVa)*T3+rjkg``JvY>Dhg0xU@;Pk#Nufv1j^q-j9}WqiP9{h~2TmFR5aAnfGUJ
zS*Q#i8Go$aZlcLy^C-{l>Hpo^^UBTFtfw@V9LtlH?X70`N&oNOo)=%Y=^F3JW8$0`
zOydaGPUzu%!aw!)*`RLlOdJ(A;b)uHy;tx<Z!bSH9Ll-<D@4Ah|95ZCEx6>->Q1Gq
zK2+B6DSsxd+rmtsc<tS>-+S+-mD06r714FRcGK0=vM=u|YlHe(`AzyQe7n6D3x;DQ
z@#quEK|T^dwBr5HmyH6-vj3a1;{WM~l=lm*s0R^JJHjCqzGDTt%Gi>C63D#>y=C5?
zy=CYz%LN#IPqI9I1rR&_`2|JU(6ACKNOb}pRiihbG3*;ZnZ9FW$Ae0y|Jy)kMNRg_
z3ex-;mFAO8@zL7@2XMQE!vUKUY_Lekf{CO@`A=#Pd!qf@`*nW@M{lo-VMID-j38Av
z4|rT<FHIn+J(X0|KTYwVtY8ef&oApr=-JFw0u+{0`y(92(&hC^#<=eY`4{g~*VzZt
zzB!ka1W-=qL&*Xc+O;cLaz1GZpuI64TEBOxe0w1o31GZFA4WP@yY(Wn5x_Q+ADbMs
z5xjIDu3b%P0;nrFQhR+DA-#m81d!J9A?2(76P3>7Y<Q=lkY7%6LVj6WYfLwF)?P(6
z0@!jYF$mpYHd52BCoKWAAIrzXbJfO72kY+Q)Q#jLfG?*K8VTGjWF+L5LT{8PDcnjv
zLVg+P^`pz`q!gjOp0oteCN+Ap%T?-Z?nM~b==rzz>mNmnB^wiad+~$6sTw{1an<P2
z1RA~nvQcCvHG0N_35{NGAOEGQN)cM2KM3$gQll3bpg(B9-ns_&c|_qxPbjBINdRS1
zTM(F9G^MIAgl&dwg#6e-?yQrI0Jfy+e}uG=%^QcRV4Ei?0i;QF;s~UXI#E2kKw3h6
zw2{t>(6&iS0BurZH$rNyjh&EhCpiJ+N%isw<U!9#7<ZA80LG-2X9PyCUKYNOlaG)e
zpV!g}-zUjO0N=)hmK9S0ix`A>clYc5PVnBIm_zVu<H(3l3Y9lT_8wN1F%6(H{(m=$
z#7$`>x~oXvJpQ4o4$=5II)X63@&4n<wW5EUW(ilr!uJL85x|#JYxss1$>+De{uG$d
z_DD;}E1BLLqt5y-l8=xRUoeZQLhV<{M*!bPvJaMVZz@!r`D-L2fGnx?9y$+YGg-OO
zYVN=UictPKDG8vwDTnk$S{mW}kK`nPb88Nqp;GvtNJRiuQUyP(N2Q|i25*wM|AUN#
zoE#cyLxuDIBqsr!(>XZQ+JFl4e<m{_r>s;xKcV^^QV~G)(Hs&PG}J=(Ur0v)T^<GB
zYc+-J{~{RyWJ!JKVZ&4}l;|@5f0K=nQ_{Q+h$QX5l8gYdD-yDeB`MvEq$=M2OJBWr
zuH{q_%&$mczF+5q=m7lvMv-(`if0nWN1{3;==)490dlrvWLh=#lXI1JoAch1@E?$e
z0G^})C8g<8oY~$F9QX$J_v`+PbG^OS!c6H}Ij$dsYUhQ0z!(@%-7Ok{xBq#gNWEcz
zOF~j<Xds2Kh2FIl$xqTZ1V~M4(oCrXGFdD0xp>Ytt77e@r^rbF=TydtoNPAm`euj6
z=kZ+!OlD#IM)N*RUIKWtc5b&(!{HEB&8Z2WAt50L=W?0Pdz(Y=G?5H_mYf7|Ce{4I
zWGDv-Wg(uL)=7MhbOg|SIODwZ=``2#<Raw4g_EteH)~ki7dO5@E&{l&%Q{`^L?F%d
zBAEzaN@~uA&M;{Qz5IHKYy_|+_3?&g)9b)xKSEw6BLR%FS$mQJDQAJ;m@vNV&U405
z=27!YF1|u;0=SdLdBdbuZNZXyEwsiYw6Btu0NSLX$q2NQ)j7P(C97#d`BPF7Ksk}I
zm)WEBx36G{Z-%b{3hQfRC4e>S%0^BXZ{WahykV&6UMC#^bXhkX+%s236d`)lS<j&c
z>kaY}a!4k6(sGJHSvDhxSKlNZAqP6Ju+^B@B^&#M?k&<0Kvzu&9Xe#8f(*gw*Aw_G
z2R4$X>L$gX>(~901bPQvs?C<JX_Z!sS$0p=Hbr}%CT>u5pJ)`_rxlwdDb2+vh2=3d
zr5dbPEA!eJI#KV$aRGG#64A<80v*w8sl1rQ4mF%pu2n3f3IbFlb$Mme%_8O&gZuk+
z|GbCZ-m+iEpI=Ps@&*P}p3w;M?DS0{HK_+-KAF%14c#dJWUgwp`_nB1xFxBU44Fut
z`3v3XbA@Lc#YYE_l>pYHS^JQ&Az0bWtLaAX#8DwXnB)YIC#}kiMjp%u2<c%YC4e+(
zj%74b**eUgK3XIMzAzt2W&)U#`uL+UheGNY5)wd|)FzEi=r4RpLQCW&<mzJ9FrnU!
zFs~pp0nBp=HQZ<^woao7|H<Sh<eJ55GEE3iAt51GSF83!pIxb=`E)W9z?{^P9L?3<
z?3yHY6)6e1QhKvqLU|S`37|}xgBUH9{<NNOzL%T?a3<}AP@`S6AnE!#{_Xv`f8bGX
zFYd$jTgRjgfd1pEaij?}j_Wpw%%pbQcrc-D4DRE<R5d0-FQh*R1F}6ZklaKC_jyF&
zW>F|FA|(NoNrSV%)S@Z<bvU&PMrc=)mH^tM5%37K!S*6yyo8JdFeYuu8-bBI8QGF2
z)R&W*ke`nu^_I|HMOs3BJ`Q>u!nmG{1TZGeqKxQcU92~fjR3Z!PSuEPev2<j+(J@9
zet8*b?uB+MX$hcB>b;JTR%=@?<kyp&kYBc{hF;iiAR7T}N&8JkNUGP?3g1oSBjm^D
zHMGJvNj?Jjk~+sDq|a|<g>agL1P~^z3;L6WsT<nx6aBh>d|+>1{pN|^+$O!F5H_M(
zTpB`)yRb<lCp8bzXA>G-<5vBLYI;TYJe@><laeM#4KvA2p>b=7G28|V_X4>I;7;nx
z8wQ8uj#Mtf-zGl+{7DlwS@8Rv0e@4DNZ3vZgaTX;X)A?)7x@X`PwE|H;ew#i6zY$Y
zngHsg9#|ICp@9D+X$hdMCk!C7qV=0mN%W`5P5^t-1YH*F)`m?~e3mK*1-M?da6<ce
z(h@+MG}oI&;=QI$h<};HgaU}YHcyCug~S99Crw3Vkz&8`6Xq|GnJ^%WgBLE!^R=C|
zhI&zP;O>LiWBs~+PHyjj&HiUFO6$ZZC)L#vDE1ldm^sxT(j*$hFK&`#+?-Hatp*ZW
z#rXYg9KlhUYR^{Ho2B9mov2@@F9}FR(r{hY0$J6h8?O7e_v`*C!o9ut3aQ_JNE)vD
zk1Jo%1blU$@>SAs-FPs;N5Oskm#RWV=!5hJ0scsu7zzv|H`>8{9#OcfAe0Z0k^su2
zf)toqG^JV>Z<lcd0akN)z@#ugOlAU@lbWd!m?I6d&^|(10%((Zf+Ns&n%i)$DnGa`
zjE|C$kRM~v0}#fql92$$q!G^uY4mDi;rlxI2;fT^rjNiEDka|}8v$%d!}Jl^{QiX`
z@!KRNfHbFQjr632_PeAdfHrBEK0;cpy%{0@KFJCBWvlAM2-^?HMgUt*LF@Hhgztys
zBY-by*gS%3{hosm{)mJG5WYXs<St-8#LNsfwYgh3|CWB;Km8ut5*JEWt0&nNI6BF!
zdJaw5w>OD~i;`}RG+#cseCUH(xi%*{o@TNL;9otINuEW3?R^tX9OH-6O~vXnv`T<g
zb(T-i!3o5~+oIqa;~HO6pToz#!*ZXcVFC=VFy-na165DW`=ejy*93Zd`hWNK)F%ka
zDJDm{O{gc~?;mawHg#@=pA64nD95qENyzL+Iz+bO_|N<ANqI-+hAf(=8n_?n*Zr>|
z^bT0<z2q4_f$?-lLapq|9FqR~D(R6WRJRV1&bmJCrZ^FQ;l0|NPQ#xwg9*ssNR^on
zFJ54oThQcxNpb?nBg4>~$i*y<(^^=NEwPe~e?=7psJLY@`DT{-1jP~8kGF90bqin7
zv8nlMsv$tlwnEg13KS-B#@~>h0Q$&CCn15cnkC`hs53C&LHMc@3AKp7qX+^-L?%ZP
z438oLBh4z#!4VhyjO+xk7Za7nfrwhgKT-t&Dk8IjIr)GM3uXW+^Ik0coDv9-&?qDn
zc}~BiPCMaWsDMzY6GVaMgkMks0TLp!!#U*x3IvZk*Dm;X@)N+{EhG~p4&sIKm+&2*
zI-#&=ppbCEd>0iEpkRA(t_Yt=sxxIzDj`5gyAUO6pO^mu2vt+<Lm7m^93ne}r(5`L
zoqxQ()S3HJ3865D1WKlA?QJ?=4xkJIWb7&=Uql9vrNq9&;B0;I$-xvufS6*MQl17b
z@52NhIgBC*5Rp&+PL86kOw3t2mq(JE0P^`<vcpC`K3(%F&toWn00H@wQ>%bz#Z{sV
z0%Y7)oF5Wma|IO<igir1eLtBp2#~R}ILBBk(^II004@3ScC4`y8V;RK1q3MAQJgoV
z8xt85t)dhHq%0IH#p`*UMGb^vgTvaeyq8)C&~j^m{@@Eamge?-ltX}=d<F;BSPgf^
z-cJbxNGLE^Z9}CGQVIc5@@Z(T-Z1;=7gGcQBJ$~+x<o`r&ugiK041L+E>@E!H7=th
zLb1-V^oOpb5(1QTigONo1jev(9d!_j*I|tDH&6!wItr}VWQ=JUSZ$^p0_5Z~7iTR+
zA}2oNy^d-KP_r&6SfpZ1IgzX@(ao4AmoMk`_Fl~y<aIIw1)`Hu5%uddfH~t8n?+t^
zan_ug2;?P97OR{1A&Pc)0x!7YO=5ic4&Q+0PHsh4zkv=RKxgFLv8)-#=UX`QQ@nH&
zSqWf`><-JERVAFuH9|c}Y67S?q{^72Nnzz;PJqh4G{-bK2;hipDi}I>J_qKS<tz8?
z@-0;y<Lu9TOX_N5CV)As01B8ze1vh1jD(!hYMob?v^L310CVIFsSLa<CeU#esurmT
zph{eZT12@F+}h}3@<o4TP3XF$BY-ZlpCE&j$-*FylF^CVNj3u5BD-!fVw3hsK8U9&
zZzUxm7k^6Kucy7mpSO{Ykc&S<LttUMooocKWmTmH!Q%HjBIWQ7vJ$`=*`$?0E~+uD
zB=1fV5kQoE71OFRfjg?TnOT0)QW)<dBLR$&cd0W-n&0UcuDi)a09W>fAvzKj%6mvj
z0A*w&Mh3|<d(1+3F9``CjJ&@v5~1G_3%7;$k&KXW>P#{<Lnx`cpM(SuMs_M?n7Z+3
zsegd9gnVhEmG^_BC4e^annjkWC2g!0e~8=!aA#Q)M6xzi_dHBS0vNOEH?nGtFpB3Q
z_3I;~CV)EfI&YSa7F%A$_b53D`DU)QR{AQr3E)oLzOu+JPsG)+zR%amO8{?VcVm`*
zHf#NFl9T|_W`=`;NMe(E?%$>a0wm-Z+P3!fyQC)MoqBg){`-_bfP^eZOpy$*G=@JQ
zGXczryK_d1b62<RhomQfKF4B4dT*9UTFD=gmjGT@r-L7b!{$LAMmDXM?FUbY#GmQc
zS94<IDRA`;TmzHXu!&F0ZkY}yNYt0t;#=P0#wb7;#6-!$=EQihKkXRJTW;o0Onqls
z_h%#>Pt$P(IPT+)s={K-y_LywbA;J7;uk&7P!9omTnla%ijnkKf?2dYODzOwaV^ef
zuEkg(7a7k{1_3f$8*H+c5p6?7$nz9JfDqTzbk;&56};$pfjS7#;o5zdwGLUb7xov)
zP5`@W88&Nnzj+r0FHr%ZKm|BRu~M5uPfirPOa%leaIL;(?Ss$=MKruZ4TJ(UgoZ1k
z;Z<rNKtoYQGdgw=AwQ)M0))7l{j4)Y4P=D=HPRD6UsTNy8P$l6*QtX59j^U6S-Zg-
z;)sAZD1ZO~u9e=b1%$^OBH~SoAV5TMZMwBLEPCFe9zuam3HK01#BS$61OXzFN=RiA
zUlK0QVFUbJd9u-1Oh?iBXup0T`-|@cbMJ^X=!3~!rK?F$TGMC*-Nthgx?fh)s`p6q
z=sn)QS(4^jlVs32jU;p;?axef`65nreqyT3oxoUwtF-W{kEC=N9Zi6vUHc5ORWpe<
zk~`J%%v=+@3u#&_*_%oTP~uuT&RB`(Wr-hzkM3%VWA>vQ0_1#Yn7m$eHu;G&<hc6Z
zBJ$l7Nr1?^mr|sqQ!WAzqCf%!ett;>8a;K<b||$GpzW@u)E4c&i@GDIjsSIESW0z~
zKD~%Ln&Jo$=h_qGhqJYMw(lHpKjU993x{;{MbdGUM1Z8vETzBv-oMB?fwBloEz2Jg
zh^&(+ivU@lT}p3-#t9;9C4~`|T3BfCAi_?gFam@vX>Ac5QHZ*6sv|(%r<O85)i6Ue
zok>juXj;-5EHd^GapzDR0pdQrln(O-B%<m(sv<zu=ay1cc$6Z_E}$|3lr3?0$U1Zp
zksqK)!cx00Jf0C{AEGh>l)2V;<O@r+>Dr`hlfy?L7Ml3#PM2RjN-_1#JvH`+`}I{E
z)2s!1@2EA#eWgu85`0?eTvyN;kHxep3XE%hq{cPQu3oYkSC={ADevP%`2Xo{8$%nc
zoZ<sTJNe$y{N%h&`(<=L0q!qO8+rnhHPM8BRPb?;>Gou^RV}x>3(Q)r?MiARK-+D@
zxqleH*?g)Mt)n6W6uCB>g^tBfJ?L)Eb>|y$lD_vI<^%(CBba&ztdXmw^_BV1=2h3Z
z2Uhleo#qgPf24xYwW4Kx*yX~g=5h6O12Xk!QPQx5E+fEYu9v(s<;Ad&m5jevNmOj5
z3IbHPUM|j7h2Pl~{_Dw40KanyCg#zE)u7nD5$}&jhfX5n2Ff5nhI3jkW_lDE=F+Z+
zxQQYN5aC>S$W%nAD=i8psen+Jf>57X6iibAp|E&}c8*0xjWP(3;d*H`+hU=5!9qSq
zastSUsTm^OT~X1b3IbF(=TkF{Mz3Eh^exg8K=17SWJ(|Iz>0(}B@iINIqjOM1jmLO
zQL~e32nDLK_M1h`tyDvR8s{W%roOSv7mAYGsDw~hpoF{XBH?yQAV9)qM}Lg7S8CTh
z4&E8uIX7<a*N<nf=d)nw?Y9<&yn~+PNUN1;8I>9Ic7CpUJCUPjrT9^t!7WnxOMJVF
zd7o@u;)mPx$5Xt-YVn_^j|lLQtD9vSbhobNeceVt$}2h@n)jE<O8~E{Q8n$2$Q#~i
zE7|rdR6u|NR~IK+1<|+5MaGvXg8&(>CM{bTs!0>_KFJ9ncQt9*l1G{}QSl$Bf&dk+
zCM^dQ*i<3(zd?FJVSy0s>xzuuqznRNxT@}qy%2wiT$Fs7N(fNmIxHmzC9%U&M9gnd
z3;|+Xn~t&-qep|n{@Y|HfW4Rk5_ykZRD6Xh2vFe~4QA^De>5okze|1s_+7)W%=tra
zuZxJUQ3L@ZT;0BGML1qu7d79Y8bV<%F-N8%;#(9!fCyJ-JX@Fey*;n;{0=1$AfcFc
zoD#xC^m|l5DAWnwE@;Vz$0&gS3B^?1($_U#lNTkAQwae|TpQ!Ej|kKj(bD<^g%BXb
z_4eX$LXvuwPm+}Y)@&<ED{HJz`4ssH;Lo<AwDVhgluuIx0U}(lfMn=;eQv9S-!r5p
zfZDY`HA`w+Z}M4cAV5R59cp_Xhz74Ze2(OVf&#$WlYE{c2oT}g6`E--IQo$<PzM1z
zTqgl#uEXAoe34QJkTRQgVD4B+FeTfABHTc|L~a7OizpPf9^}i^K!Ap9d(rmvoBhXE
z$W8!zw*3?*d$c`zl@bV$;CjEs%-FQ^4R#4heaD|t3!xx)SbC1HQ33%HTpPBtbVsb;
z_&Nm;AfSkrI@)V|gZzX79bohs-=qKn1Qbz8yLyaoQ3nA!vYiIA7Yxx6?=SB5UdSLo
zhU;*K;R2FRnRAc3lZybZY#W0R*SO{^%Vv<O*Fo5W+yroETM--Fjuv?@vJ=3bZP(Dw
zu1?^UuHn9<CV)EI8Yf0=?*c5R00IQK&iSFKvTiz(z9ORYR?o=?5A^FF;)=jQVCgMi
z3uC1X>I8d!Q~<oECUrdmGwKBcn!>8U)-57AF;LA%llm>8JDn$bNg58Ny9kh-SV4y@
z4rnq%cRIM$*<Qkb1o;WzPaH~xtd7nfobn|ij;06#L?n)4hZ4afBN%b|;U?an5Z2?!
zO2{SYG1hUPzueiifX{7-h!ZG+kW2o@MTB-72>(gsCxAb(s>;UodK4?vD@jc#$p6u;
z4kF?-iXcElVttuW`lVggr(KDFaS9+nKw?XkkpOK*hu@iGClr(i(SfwM;2eq|Kty66
zEh85MBK$-2MaOy6L4c0L@l!@R%mIT)xPTG}kdU}QJ)(s0M4}LXfW(BH^B^F$*M}dX
z4gz%KSsvp$bct9)0fd}`AS57KCtpelgyQnTS~p%n9R%pevuX;tLM@t0L|#pHLUCRQ
zDhAb~79H162LU<~r`IwolA%qSW(Bp0QV5WexJ;Uz6iXd-EmaVpB5|TELlvO|aU@ed
zObrBRaGgM88)fKzAU|H&@`jGF;l;S$Z8DdBg!!XnCV)9{>1VXmhnej)<&6|VfRMx`
z!R&?Ts<J`_gnR?Ra7DDPoT3Iof!SfLEN3W$03nIHYckA^P;FT!J)uB9SgXr<3L!v9
z;tX(xeh7q^_2mM!5TGS-(k(+RmI|{?83f44evECctj1&GjO`RbfQak|dQ&yLvC~<=
zD^=zqwN#nANKF8B_H!I|>hM7G<K!oRKl^^YgI|Y~t|~uC34~liz#$=8SALoz2oRCD
ze`2WOkRT#_7O6zUXQ_lxq>`YP2=(qhPbCB>N!)~&rB4DSW_|U`6hkP|EjnS%R(M+K
zSEz&lCD{+j9id{WI=@661n9`V$LrD&?QQm{f&dk+Q%;BPZStfBORf1INJ;={_Fdd4
zX}G@p4KfqJoVc}Ps4@{_)>d>)`I{ssfIRztRE#`YM}C>~1kh(cxUtg5YRBKA20}3!
zg4!rlFa9<)5TGIZu2akpfd;ci{0e0digAUtF8p0;AV5R*1Fe`VEVba*sDJ<k*>|Ag
z3ZnJjH^@%_fA$Mx<gYd+@%^1COEvf{auafk01LM_;?{N2cc_5?4cWIsj`WX5tETT!
z1pz9upNL9Q5v!pdqZ9(9WIs#mk`fy3K28CILVXd`QlXmi2}&VAO5%q3p<7E^fCf^`
z3iC;-Ar$HuYrXjtr4S$``<XIVkXWkErzwO0A^Egrwj7F$z@MQE0%T;r%1wVnwj|0>
z>shiAz?%KIKgJsFM?Obt0;sc}3W`&EN1NazlLijCoNl&ow27|5pQjcAv}8Zdi)#V%
z<ZQWJZFCSDRh;P7nCZ-7car4E3lu|unCur;;$qAm_KRdEfIX+)MB<d~OXMejKl|yh
zc<QawwJ%cyp&$`KeI05#UZDsAL}Wk8j(Z{yVKy4CQU{?RXIPtypHc(?BC?;Qi#x;8
zP`pM71W3rITVvGF@k!d(DS!Y0*;m$Tr>J<s*cmEy(i@~EfI9nH!A>1+EZ!tP0sPrd
zPCEFlRl{3ULVyz2nR3I=_BfP;+OF^${bnP!+qqCifU@k1h(np#c<fFI1W3rf@^(mw
zj)eB02ttvu5>%d{8hkG*AwWs?-3o_00wrcOzAwcPigb&$E?-V11SrYAVRN{}QlTG6
z9R%pee&FuX5uH9cgenM7k^S^ZNJY5YrMsGklbZnU?3*+Pceq|ZiUJ4_;5zv@liD<#
z`0>Q<_py{jfTTOqZxv6u-`nMrPz|qc>9(p<<w~P6x2s+AMh3@I8UfO>pMG{pGpqO$
zseu3uxfU8D$D(!od#Hi{71_^rxjbR*5S&UWghHhRwS1_(8KV>eq+~zY<nl@&#cXiS
zpc+D<j<L2lXHyCRQnH_HayiD*<eW<(1PIA~vdJkV+UA^383f31eOGn(Y8UTsRCgL<
z8Qt7mNLm7Dvv2C+wBeTKB61VJoqdgA;a+Ifnyp%A7hYwm>hFYTH>{=<0;FW$|FKAE
zFU-~O&A_OROQ?eY9oa9YT6CB#$>pRcfIj=qhlM`ch+IVh1PI8!DRT&jt(L5(3PMpT
zg8DktbZn#w0#syQLt1<hs4!cNEfhj1${p4QV=Gk<pd$O8mc<>Gw&HqfAV5R*E6X+w
z(PrWXDj+~X_FFwvYZcd_Yss5PP5^oKwWNzYKI=9~9fVx6!Kov(oH<Pe1SrUBRwbSd
zkyY**MGzn&ubzuVM6}MHqYMIMWWQ?U%nfVLzez2GVzmS{XQ=*eQ40ZDT%Y?IzDMWu
zOQ6N9#k-V4DAqOBx_l?K5TGTmxnoP@T59xLse}L}+4p!Nhq>E2;I~l#0Rpn`@gxZd
zcg1g~3IbGQ-`7Y~VfH}ppb!FtWIrZI6cVl1?xYj~q_{p?IehsYC?(b_y^DGX#p?;`
zlu-S4H}w#pC;N%QME?YO%sTEKN+J~RB5OT&FZB?hC;Qo-L>F1=y8Ebx05#b+)X8e1
z{n-1dg#ay^9aFmANiiuu5M<omuV2p-M}89wz5TAPOjPmyVDJ&3m1!B38Jsq9)3qYi
zwGGJNPB??yyl?tU?>j@Bjo=4;(5h?YU#5cyaL|ou<vM1(P1fr6%3PNpD6LFRcJUF`
zUHxA>dAE1$#{ZPlev8xuP`kz$rb+h!Bj$aqVms3~YJC^B`_vj!)t%+(R&!pyn4{DE
z+axD|+;#A}X*4bQY;CG4?9G`O(C?_U8aRFi6ZsM;Um-66ysmb5I9}8Y9lUFWwF7iX
zYHfbbcU!epX=Afdt5%t--BOvD!|5WT;&-Wn02Ny^&GqRCd@)_V&ZMcnMk+$)jt;2C
zy9;O`@ja*xQ1gC+yae!O8`vRUd^@N+hplAd)NhfI0LF|9u<um0`4^w)s?BKD?~s)M
zR@a2?Z~<ke6GbZQ-tUo?09x0!kdbNe73SJ@PNX8DyK|LR?Ut%nZ#_nS0{CyrDT3Ac
zvdy+vb{{7vA<qov$A{*t`10DM&fq7=O30g46(Y_0Bv}by&9;6Fg%#7f9oZVHnVupq
zA@9_x4}R&?K225vSZ~NHn&j)@n(!GC5<r-3+ZS@L`dqoReEh1PUu8T?astRdmRD-|
zoj#q|=g3C@pX>0Nk?V@d=KMkzZNQW|L`!Pq=SfTeac)8E5zklJ+jN3oATI&DxmAuH
zZ?oG$!prU13J(vHbiYV`0{C5X*qJ%p<FCy$Djn=y&>CK%2135R?>4Z!rO(Zhw7*PV
z0(f&P%Hbe;g@lAW6Dow|h2~rh{b-fRuacJl-f~{0cxo3u(C9ZsKP4prl&)7#M~<uM
z8n(Wmr8l}8uaTJm=G=NY@tX2=(h@-HTDBfJ!5poqs@kZf-yk;u+__a=<gPVXfAEb6
zDL`+MmjK?}nx=r4)n-8c7Rd=9cfA3TiNjT*rP2)8cRLU41hD7UP%-Jc&h&l0JBbN-
zCtDMnPTzy<1hBhy17zZKuc=^D6?lCw(i1?RTiK@9{cpTVobO9oLY|pjYfLn|jj3`2
zZ?SsAh~*?EfH=1nO5$6W=mSYe0AX$eQ&pfsouEU=O2{)?L&aDp_Hfb?@=t7gq3R9N
zjv^}othv=&G9BIA(eTGiUPK*Bb^_RQo9mdvK-iDr<H<<KGjr#wtr@c$a3X05pv|q%
zqekDJZ{I^o0w{AEEb%MYI(|<j9|3&16;|?<F-zx<7{<s-0ITZ_l98K$20kh;-^1j1
zKNiGiPyzuGTuY=GOE4RRvnhZ80lD>V(FDd@gmcME0CR5TS2eym%FZVv0gSn|xuMR6
zroE7~1kmQzrw#WqH19>^CFIGgJ|r)bq+aE*n!E(?=GH985}d7BxP<J4JTsZEvzz7U
za?%n&o7>c^xOuwkO)*_XP69Y{t2Nu*iTUPKcg}AG*OQe1*4&1N?e4-tv(;&r*|*|{
z4Ad}fBe@CScAY&na&_s~)|zw+NeLj$ZKU9n#+rz&q$hwrx1ni3Z-({tBqxA8x4ws(
zgZHYB8%Rk2Wo|8!Hvw<VoZduc0+@4)E|1wu?j%VGd3xB))M-)@K<Rq1dgM|hA4G|D
zxoV^)fO<=|^LJ;47hvbeLjX_4g+}p=CoI!7NlpNH#$#QN9BW7%n&=v;MM44yGcKhe
zLSuohOG-knl*a1ZPEry;nQ`$9rP3>(+O@Zml#pvWRr%DEw~>+n%IoteBje#kx!cJ`
z09(e@t@f&GMeYtV6TtkDT+$g@j=Pg&1dwIiSJKJ!mZrkXBzKXO0M>j$)?*FLLETMK
z0!Z_z`#e(1pyM8r6F{EvfHvZ1k36yjcP|AHa&&oY{p~)I5<r?ykqt-H{bVELmPE_S
z+XEyefHdPNA)T@2vfG2?BY-dC!Mf(NuDLx#S^{V@9>;mK+>~c5dOb`|0yr~Xfzg~?
z2(YZSJwjpvi1VqQf+a71+2>J`5<r?ygA<UNOFmyEGXcyQ_j^Nr4$aO7%ROHwH38K5
zG(SwVt`dD$f0L|)TobHWO<#YT)C5pxJWCMrwburiYir*nHv!!FlwmsC98-OtoP^vm
z*tV+n1F{mpnoqkEUQ+uZ*$80EXP6ONPx}!m3AtrusJQC>_wSLDkaIFaD`~$^N&+bJ
zshOP1Xn#m*0;oTlOE275L;GXW5pv7W_yXFWkdpw;e7Y{?>e-)>j{v@W1~#FkvmcX;
z0J3}vWo#1X&q+xDWyU-Gblsl3X!e)nCxAcW1qLg>S=0X&*$H6Jr(=p%Exug#*Q6zY
zHlK2;8dF^f{tf8}pv$KX4Rsqd=iiZ&0M2~6qv8I7CjA*n3ArUSv_z&k|B;-8+!7k%
z^d<>^PErC$^9dm1#gKm?9RYOtG-=Kyz+aG>kXx3<*Z=;VoCI*@Gv^yw{QIT%fsg>g
zeCqw!%HO+4NdRR&<5b78-<~8UfH>o=0=mNY*S~ZL-G__>Fy=FS@fl+ae*2S~0PcJS
z$N{(6v>iZZ0+{oufGzK=9ZXUJNb~8Pnd^&(k&ghreA;hs3Bg!gJd(5o(B>1v9<5j5
zA45h$ZjLphr$jyi_%hz-qD!fLO>qTz3E<7ACggD6n6W#Vlmt*-;}|r_85w2lov6;q
zOUr5(#TZXDz+0=4kFJJp?$@v8+tsJSdT*aiJX@}`jz;?6IyoJeGJ!X%w_PU^T`z%$
zSQFl>HtwPxNt2d2Mo$o+&Q)a?2HG9Ri`2$lKFzr5$@q~bzBz-W1dzJAGKRUulIpYL
zbQ;el9RYN%$-9y0f+H8y5fGBdbID2otE&e-603QNfpDHrP69Yxy_k_W`SPP|EzqvL
zkc5Q12&L%G;ZvNN@FEft^2$pRhL0B!zpf@L0jwWRSB4i?O4RXL!gUF`2;j=4L`wc)
zW7figY|IkU%SlQAscRx~q`(nUFB7jK8v$&twsa)6Mt5F?smHjUj07;c)>KDgY*laW
z;<K^sGT!!XMx48m<b?dlw^v(je3*r2c|^#!kemQ=SEqlZlyfX)Bi>44LSC61{w9$G
z@%3aRfN_nZl%_l{MQ-cY$JmnJ2#dXUUE8V6wb_Q323b~*q4mB;wcZ;BJ>aM+lvEzY
zQJ$~0+bFE;jbJCI)>UD02@rMFNE|wNP4iPUPk{N8O!Hp<r!Bn>|F3@ieehRrui%H?
zUK?~*NnCeSf*JKNy!IQ)Ybz4&U7`Gd!Yzc$ygz%(*6FRT&>RVNU(`6iF^%rvTz9^K
zLuOS^PNhWIF}rxd9oFai^{tGNIryn}$ZA+Ftr5#5BjIPd5@WSVuPVE6$8RZjL=I9M
zpeo)Q9P|K%D4%$D>XbDZ1_ZeDmPIGS3~kSJ+mQ!x5#!LLKjkZaZcz;ZY9fc@4Kf}(
z3TMy*7By3~>1pkkE|n0VBywQXAj4TG@pjgUS9Veh0a_v-?kGZw=FpD0m0}1>;~0Dl
z2pi9}mfNU>04<*?K6u09f=N%)?bJkorrQeCRGY8iV45mVn(%@`d+81;B0$kyORH$S
zU726Ndsc0{ORv@4Np%FMyK{-vMQWqFD2)JVpIKsQp{nU_$|6A4-AgRXS_JN)Kmr7Q
zZixk&mDjygMu4)<F0nGBCcBTq2yX*nM%!~gg%KcZsmp*`R+lF60m>pk)>79R*j-TJ
zw4tuh9;7q^q}{Q^G1jTg^TjZ6*+bMtfUc!(20F8?YGtb2u1tH)z{6BWfV!s3Ym+!i
zZw8;Sz{c@N4_|u3$^Cox!~OcP?Bst1?7bt`1RRmRK1YY=4kt}9pu7JEs=M#(X}d)x
z_4yN?3SCnDf1TLhrN0SC)F+2al&kX}qKxKJ=#o-1u1>}h|9_2=2$1yoC6qK%Yt+g$
zoZQ9lrD%73gW3qt_Jt+X*5x@w+p3j`8or_8iTf7C5tcYFRUbw2@;j77fTY`(&|h97
zE26$fQG_MV#Av5U#63oF1c>|e5_-(<Fo~+isfqwq&JI(kR7VSZ!dN)rsn8`|O?bbs
zH4|Y^P#6KioSk6rDMx!@to3<=ruKNkQ=v-{VTuB8o_GSEq(A}$I(sM~dwF@T+o;{#
zt(IGrPOYhZ_Y|cO-X78>aT*au&yuZAQyKx%oZZa=yjJ6@?f5FXmh}u}5tdjMf=*AD
ziMO7mECOULWh1US<|64iN+Lj#bL>|@1{xC$qU?DpBP?+q2EzrB^#WxPAj>(2Re;0v
zP(d`kNKJ$#&O~FFAj)2%G6Iw>Wxv83Ba5h)DT)A5krOCFt%|WCf!cn4p@xI`)2vLW
zrp8;$2p;X%&*Qk|Ct&U!zQ$OWz|ck8=cwfzXMZ9=l(LR7%fAj-qHxJe9I?2F)vUbI
zuG9CobT0uZaZbhOCIUNL)Qq$E`tPZQ04>g``24i^oih>h4-`Xy80Tt9eqvO2UzGe4
zl@OrBU5UB!JgJlDdL|qv-ckFecmA202uq_W+Q}C`{VO#Qpvm1SbftM1KdJ1;*FR&+
z16~cJOWD6s8UfONWtjTHIUV3i&R}U~*?Y(NP)LBnFTPzAnlblIN+dwyZ@gV3w($WN
z`348aJG%QQ(YTCi2~gX6yQmG-Dtl8O0s8KHyXdo)>;0&d@ODzF`Y2wvK^OCPQz-#T
z-9rXfksZDU;_DG@U05PD&q0(#fF$>jp%_VKjdLiK5unUDm7i$?tBl#4H6AJ$M^G05
zx{9o;t-7oQ;%F))Kw*&$omHV(M;}LNgtvq9tY!2BDkMOma|=NZVaN7Cw)$0Dks^8$
z6%nAwJq?(B5w$2XOXx}pBS4sYzNi>sp#pjuWf36DJv&*9ENl53r$7P(7Fp-oGSn=d
zXHpsAZQwd<={$!52@qJ!5U|@&U%bVKOr|0Q^E`?nKuj?MFPj*%OkO}u1ZXOz`m$;Y
z6~_-y5dn(aD~nkcN2?-hN&FDC5unXIqm{chvk<PKD8kY@%v$~~r8WYzIk(NqP)E0A
zww0CStpW*8_v;_woZFS)?;W)k4QA<T{e{gnl1JXgU{1T8=Nhvl*yp5~;=s(?2e(Qp
zKR%=#*N8lcp4a?70QXSq1h1pl2}xm^WH@2ykn~tgkKQpLxv+tv2uWd@WIa1k;SDXK
zZ8NnIpsl}@890u&tE#O|8E>%2wwcBhHi|YISf>=7*HI?{I)8OZb+)S3*IY#9N2rnj
zm0wy?mH3c(yT)$?1aalL@?#W9fJo=CEO-nbLp3|`NfYKtkMWvOX2)BV#<ntER>UV8
zC-9z0(<{YgDkMOmbH*o$DzgI9#w%R<HO^2lPEa2K`kceYLi7bBx|~!gjj-gdt8AaK
zxNesE2++5*B}77zUw7ua!41s&1o5|xA_)-boKOi|pJNH}`#Vy-G^mRJUBA4f)l0OG
zDDrNmJObo7N4bT#&07o;SsltEK$de>pb%N8NA<+E2-`tn1PF8XsS6RN1|cHq7K$P)
zxhS<=LqvUoq6iS>92phjDPzNiX!{hk5tcl>f-M^&>@yTbfH3D)y+WL(H*JWj&ruZt
zs+P8rP{TIeZhnEX2#^(dHCxxg*aHD)RhbrBhiKqX&Gux!zJkNFyTRK#Y^}C#+0T7;
zLS=8WtA=N^jp5n68lEK$LR~fzhGy1BJO`-`qfXsDbS(j{b*}$=Pug6IYr$bBgLA_(
zr9|j~nE3f#Dj`6LbBl)ec=k%XR!OwnM=b<saZZWlrzP5ei>CXji2zN`Im7%k`JEjR
z^8m#VASS7Gv<71G0Koc)mo6PP_*1PydwWtv)Pod7fT$&iWz|lLl82~-03}Nh%U<Ov
zS{|kr0<<{a8S(s^eYpy{Rifq*sv#^*9;t4ND0!4h2vG8gA*%4vs$cUhRuS}73L-2`
zMg<)dQS)`GAwbQJ;@zWrB_idUltNgVoHBNhilA>(5MgNq$*yvgRN3+_g1$>Z1PGdR
zW!5yB6&`XHKGi~|i;{asw#WMQD!WFHfw6b+rL=457oD+KA<8N`Mfa#qQRGy{pmSl9
zlr-^Wy<dJ*-q6W;oL(fri;)kT<j1YMK;q9QD1cC?0M%}ZfF~({00GU#W}mA<9OQj}
z<xeC$MF|8*aMn9klL_4l>;0hs7?1Y2M9R~YLV%Qo!o1;kv_!)*)IflSR)HF-leM<Y
zxrvHrse%9%&i;(m$)jXStd}QRo}(55v^a-NnQIBUF(Tr5iXap!0&f&a!gPK00!0uY
zqPWru5jDPRC4P935(tI*VOzJ=X|`)vGZ7IlQ3L@ZimSKhs}(GXh=7+VfKX^g%vYys
zzJymOfdC24-fZTjLP;oBCfenx>h_wRrWc>QN<oBTGX=+}>P-151rQ*hxH_w`Ad|@D
zPE$`Ni!)xM76P;sS7)`iRd+P1JQq_$yiO4Wh$ybQXm_R%8d|~|lt3s{f;Su%FT6<!
zghI1I4sLEtda?NyMGzpOxEf0he#HyBT>t?D2<Q~ntuW^2MaS;cK`1mgf}yU6*n=Vn
z5YZ^i8G3{(3ihG`LZR7V3~WWmzSKb|REII16&=f|g8&^{T{$w-sw~WUuO_rojAYFR
z`t@@-hCK)@z5OqvEpOjdiyN;_O;4*VVch!vsc~!MyxL&wXbMOgu}1EcKRr8I_@VR>
z0b(O(v3qy6$0K$UdgGBh4aRXDtKzUD$V&k4bb2SbMu&;K{#Zzuk0vt#%+6Vkh`nJ`
ztOmtGdmL#ApsnVdU~d&dh)*Cfp#Wm9jTGXONK7ce(LADDNAyb45(=Q@fM3&|Mp^=B
zPjlrjPv7?5wATOb*FTI3q_@obv$yPWbrY+P6)6lU1E@FtQq>!&$kk*W`gDri`_nkr
z_PP}0uJY(56o-*acIU9_S;n5f22M8Su_@%NpGAKWkj$BZO!DS)*|W;xs3g0N(Dm;$
z9_-gICiS^s?d`uwE|o&wK5OwZltnoIZ<X_%y&$`wq{`dzgw>;xtn=wn0z4Y|+F4MQ
zJFF&DaE>RYk*nC)$J0iI{X()6!2S`ZBe4;%iMn;Ztj?THk&)&T{rZW_!4H9_xBPPN
zTFE~%+a3Jgy#cebg}nPGm3NU(f&@OpM8)DKyyFk`>qk=iT53P=iiT~nd)(!?xHX23
zvWOJCsZubpxW`?E*FuJ$yh(0J#AVEFLQ?6q*hz>p%iTV!p57MfD@jcNwR0PX#n`aa
zUSlfc>qt%jxpN4fA$fF0Sww802m(Yn3wnkk{Qi@$Zzekd?9RF54B2Dzx1!=Ysvr~;
z1zyia$Uj1I0?4=JU*<w*lMDUFNKXL0v+2w-2jnnvp)Qk}P*BQ)xoV-GAU&a=T=!<F
zg}h2~LP2Q{=BI^zmh^;za$U_#3-vZq6AE&>HzzIR4U!W;?p(^tFxu_2(IVw$N+A@L
z1u_pU)E!b2KwU(w8=HX^6+5Vc02M`4e8Jqa(BDFO0_clq`n_3aA^!x)2?eD+nCun$
zPm!Jg`XVZQHO(v3pCL5?)XtgB3`?Lf!7B<rM+Jm}d>>5h3jG&IPXN7hJ4uEP&=Y0C
z-6J=lAm<y?xuW2UR6r<5fiaOQ3VxLe2v89DL}4&WtGAmCtRGII&P+3n8@|0?Kc6GB
z`@qoK_sY%JtS_xqb~p#K($&EWTTr7hTES@S><^1l=d@<@LDx9UxKDjrGQ8^wFYT%C
z)rt7~=_3LpJ4dpH#e@Noai3yV2jLl%50H`o%E(6m6S9T<dGGSL_mB2?jIz1F*R>47
z2T4fCC5@gIgYqF#5<uy!`wZ=iacgjz0w);!RR}}D!&E?kf}7IDVycjm!KE73d(^rl
zJVH(aIIqux(>qpCLibU!5y1B0?AcTx>6CqyT!eg5=Eaa^`#RYOU~_g@hKe4^J4g6v
z@^6xy0P^Hov)Wixt*LMC*DI_wzXJwcYhI%446ZdpgvttP&8t<d8Tm}B=TKcigdR)`
zaqm9;xc*Zs{vI7efMc91K$0t-nL%aRyU(N>pQ=t*x^tMO6GuHpS^{XDGj&<eDm9w*
zak3J?>YOafg0<GE&X?O&e$uqlY-#o<$W8!za(n2xa7b5!y=A2PNiq|_oLuxqWZqWY
z6-)M0BqxB}*;&W8L#xIYMC8aYSrSNI+^|2`ub;%?_y=I^9lGAL?d_=E%v0}JFrAAW
zcB`smL(3?lH>e`ob=A>s6RyJQcmi9&@ag%<4n0zvL~neyiFGzf-yhMn1f<0|5O$bN
zh%Ltx`e(_R`P$AJ_Ueg>|4tPIsBlh7IBaI1LeGbbls}~u0;D+K%*j!TuJg2G{s+|%
zpvL)rS&nMF*?Mu!|D+hg66KOw{ue2KK`DeKlA>nwM9Tl76v9$Tky$N~^1msCutd?~
zO*D#_pHK_|Vs6d7ii_1O<H3ZF$oX5!AuN$^yvZ*S^Y;`(SR&s96M-V<A1H^gL~??u
zd6Dx^ltX}=JC`7G>{Hev?Vl-)utc5;-gpo>|4KOo$Z@{$n`843T~8HJ|3*;+h+2xq
zTurr#ly|%zQV5XZJh3oG{}@xRqUfDeL|CE#3Z`O3&N9j&K#p@ievS^(Q?sIFZ)zbd
zQDzxawW4T0Dk4D9QuMyORdNyYZi*o+QRD<`$0Fw-${{R~Z@jf+5pyWT5FqB$OVDD(
zmiI)}5mZHhD(A#VvxN!v#qWo*J=U+U<dF3kF!m0<hIYN->V{Tx8k+?<V0FF#Y_q6_
ztF(&YYF`akoda-}0oP#FdOwfB#gqrm;nS%p(TN0TcP<uLO(hHrt@q21-nK09<O*^V
z!0mh^#A<5<Zao+k0Vh)c0Roz?xXxUFH|P@yr%(a`5}d7h<`SYE3z2d<r4S&+`RZ@x
zQv3nAXjnxJghE3?jeJGGSrkAhG$g#1NF=<M5(tps+_jf^J_KD~5%E5XAQYMrs&6R*
z-cJDp2ypIG&fE(|k5Y7ekU9v3=0?zu6cHCw1OXzP>w1|xL-!s<!CERH6q+4IpHXyN
zMjZs`aBkezbxL`nTboO_z8-m^U%!-1{Z-)UE!VAkX|=M(R^GXBJ7PyQ@U(>n{#&Yn
zceb*YXI*W3^wwZ$4aHbr#G-~IVm&=ZfNtlxUQvSy4Q%vQE4TM)G1cCC>$NSsP9d5$
zQWF81oGpKpXk<;Qnim0ED1ZO~&XzxO0ba{561GwT0TP@of94XREx$;)o>B;q;%xad
zm!b{okhp;w2!*;sHN0MYYAH8S3IS4_ANk1K9g}l7TtS_VU1>~}xsQb(>nqD@j#f5F
zWdta5ZkriF842~{UiC3eN&+aIuUuwCslU}EF<B!o0ldyJQC7U#j`s2#sR^KVE(2#p
zZPW=(G84e;Z0ECLwpIl#Dj*c0z*_pcR6u}&+yhR%i75fMle~l?c<Fl`ZMTw_0Ny+T
zJ^V=(9XejwzKzrbP|vx>zaxa3jXGS$Zzn$i{CTv(R(_ox?fp9_fdC14lsKydqs-q)
z1q3K?p5U2vCRoe<T~tCSG8{rB@NV)GisTQK#Cyn3C^9Fkb>O{JLVyzI>-QtXM9^o~
zM!Xu~J`xi^?A(8qDRH<yxS#9<u;)80@RIFq>D9Ht0~A1jfIKS1xZnMQ0HqCjko*Mj
zJ10G|b-%SHc!)X(#f3qr9(b7SgyPskwZJ1}Clr?l);i!(>L5UebDQZ1vEUT}9r|A-
z9RYOCjoTT}$+44~^Xud!q)1|`tae7XQ*1f(lIA_qub;;0oNs}t_wEg9v8GkJMz-wB
zHp9~gbbbtSWepQL|E4B%1`WiFhX>5)1ov_%=IsR+_1~eh2yoV*syQ$-c+w=eH=ty-
zh@(F`H6DN=?B63h0qoAjwy57Fs~m4o#O@8Tx2xENEVPf2mH^s86K6p}hD`MK%3KX<
zu{0*!kCU4K?m=C{k-4MQuqb$f3J7=hyDQzhuw$-VRQj7uPCOW)_9S@;NV#(bB0JXD
zNwkvqrznB|5raAdL%Khl^mxcWO#uW57&Hx#g@7RHpCK~=%+42AGxUEX@Si0;0rZ2W
z1BXlatarW%X1e^Nc8m~wjv5Hi@X5v0&Z#Td1P%6pe4dgBkmTHPIa019NrGXsMt*^E
z2#_<Vub6o*jR(Q{B6Sd;!?}wmH@8GW_a%xUKukXEGG2Bt+vS%@NdRR&%|t+H56oAn
zfB*&g^bA4@VsZE?*$H6Jr)Lmi55n%Jq$PkhpPoU8HWFp8k(&T+=i53Xg*-b$wMKiP
zI*GTFRK@7^#9k*k0p$6VHyimlHiR+j%hd*V4`K3B8tFGEh5#|n4UU<6!d?vCq!t3S
z<WnJ99TO`MZ&3#UI&$i`SfV3TBky)01P~y=`O;DLnGz`^yHf=LDhADA4c9*T8)wY|
zvImI?Aa?Fb9x3@zVipeln_8}ml#;!uhyX?Tbf{vAVo|v-H4vb|`AS^oUZISLGnP{b
z0YdUArZHz&2UiDD2LU?rsl;PCg4XL0k`q9lPp2V99x0xOQvm@A^64qzh!L}39z{w5
zDD!D70?I)}@>psiKua^1@r9|yQV@=(1VU~x5Rzam0w+=d0SfZzIEEC&YNYp&odEWH
zI*uXspy-`SS^{YE={SaHBZY2^+yrpv(<b8M(dsKUX3;x?!~_uMQ|U&D?R~Vfse=F=
z`Lu*F9kIAOml_DrkWa-Q(-1`8`6MTRJfDg`Mjna53#otr1(jTCKKbN|8Gjd%lmJra
zYv0HzzD6-zXE01UsPbP;H3X>1XMQuP#!~%XLJ<Ur$fqb6BCHL-<<vlchC%C{8DvYW
zC|*T=0{HW(4-Fp##c(}|2_Vj=<uiyQMQ|h831A<z);65mJJp?$&es-l62O_yv_Xh-
zPyyUZF$9RoC-x&^EamTdY9K&EK0Uy&25a%Vff5Likk34SSVFAy-9&l<=m+hz8#xR^
z^AnTgC4e`d1~{DTNZFevIU%=1a|w~JPM9rVjl2Z#=F<a<@UjeA!hViA2++~arTLHQ
zu!eq<G6;~7Pw9)wh=qTP5(tox&p;q5A!vWP<R*YSpE<%Pccd8XqyPd0<kJh3*O9z3
z@M{OYx|{r`rj2hUI|1zZbil&wj*@U2MGzn&pGL?KVJ!x?Qv(4S^67vX8e(PO4)PPg
zpHBzO;13GGog^lJIG+xfK^%$xyU0!e`=CA7!?k>qXar`Oa$uTQ22|+ZO=<$D2fg-_
z6}6)P+(Rh@NEx*AI5R2MVsI~&5TGQV6^nR&#5a80M->F9$frAIQ4ti0`$<m#eLnS(
zg+5X+9-sySG~`q;nypq9U*o}Pxn{w5kkkZF=TtCa)Q*Dj5Ty_xC8vTBmtrj#4^s&N
zN^&X~aV4=<;t{GKKt)akBd#JS7>|;k0Q#H?Mw~uUFuqC+1Zc>oV9f5q{+_w!4E|>p
zjIWcL0P1|AF-~otz5OPY5TGQVXtXGaMdP=rf&dlyM59GT5RKm@JpuIjM5Bd15{=)d
z1_CtX6OG+Q?dC3ymG4Fu@qR#R0;uze#yGV-8h=P71SrWT8ZAm<(fA{(AV5Vv(P&W-
zMC0#~o&frMqR~PhiN@cj1_CtXGoRCH?vTTE+c;mhZPt!|NOA(m^I253k=rBkkEw+K
zE&0sxShd7r@=vIP03G?vE?9L0QTb;SK!AXJil$XSBrbnU6$Gfrr<TMdOJ%MyQN^N_
z8I^xdYC>)fh*QT0G=E7I1gOZTuC}PK_GABwN(fMrPv_pE#6AJ~*OWqllzb{|i<F>f
z{0->|pwFkmw$Mik#@|r`0UGj|`Q!vVswG*@HA}|N$V~uuKJ~SQ+cD1jM`|HJOFmI)
z(_$?kKc^G|q~tR#Z<7*hIsSz*2#}G_e56fAP&$4=eggROnHaY5M~cV4Qv?Ab@_F$m
zcn{bt9KZAdFcZL>Pe8_)$MuG8?+hGooB6vag#an}>=%tov6hTIDTI()NW_K2%Edku
zL4b&SrmN#3f>N<R*$H6JXR$2K9w`$CPyzuG@@X={CuNwW;$U(Uz@5+51q-*UTpUI*
z1c=F}h}y(hOU99uLV%Qf+6<eNSlKv+G6;~7Pn%(r5tNP+`3d09r_HeON6N<viXcEl
zK6@$b-KmqwOUNw-BE0sI?<tf)fQ)=<sHlus7@kfE1W3qd&>NKy34v7<K!AXJs>rB-
zpbVTvZUVTs4&2qz?bPNLb&i5O(66uKDGKL;rMLeE?-Ye=X^UrKo|>LkS;7el@3>wR
z5AI|IiaEOR{J;^f3^CgNzsmZ~>SVXou5GWDr)ra(vN~WxC*XYgiU83cPA_`ki^Yl=
zAJ`(L=DLtv1aRG$7uPtC4#WvQl06rZkpM>LXD&UzdERPw7MD7F<9%V5CR|NI0tg3(
z{bDmxyVLtPU3nVc*=n{t?n}r`0QcZsEW>h7x0>_Nfu6B=_;QjGK>D%V@)YMkYQC$;
zM*v@bF~kqzc_~~^Mgkb~i=mK9H<FN$t4kM}3)-by$VUL*;0?IL#tr!BRn57ToCI(V
ze%)nQPBaPrcN`^JuO}@5w1eOC8kW|mU~eELAy-PYzFi(qBdNTJlmt*Zzg9VPt=FFI
zPEXHO%Qbx9cedNu=CMwal>pZ4!)QmP)hOee!dkXY=`=YB;B<cMcIcGi;}D%1_hx9e
z8rcY78@#l$*yyQrJI(SuzByWh;K^#cUG6kzX83Ii$<#TL6Y|N_?#xWJ-6=2N6qs_m
zc8kZ_Br5@|*;ltS)kYPc9IXniPG^gZ1TbdbA!%;Mwt|XR^L5EZ09W>{b!BR*+<;T7
zQ_}B3993F!hLq&zPI42#oqfYOQNvsDQ)Pa8P5bp$@)7dn<HyxB-)-b0fG_)Iv)!GL
zuZ*gXw}?Y;Cm{iZgLiK(wscO{a11riOfNU5`Fi_AmFKq$@f{>4fOzn5ZzN*OOw}4Q
z?K02Ao<LFcB-}{}1V|V>>oAgpIh<Cc1fX^G`0pY=0sPrF=Z5bw<nbH2yGctZfEL3T
zFSYlOmH^u9M{7oE=PSr@GzL1<?j<t;%!8MbN6Kf8+uG$Fwa%;x`%nk<KB^!<MfNQ{
z&w8J)&SP8?ZiwzDCjp$<H$>_)#bv&zQu8XX2gpbO<KT(b#rhiC+oqeXd32#_<u*?J
zYN579V0X&+wLIILZ?bKyb-c0NgA_x6nCmhhW=TIzhuA}8BILq^&t}hfeT#?5L;zFv
zm4+~R-NiC%EuFweNJ{|i;5qBX<}0@I;xzNJ-Um_UXxTe>vy7Z&a5wxm`B6$CK#Ft3
z&NaHlf3wZ<RKI>Xr>wpPzTQDwVAb-)wpFg!ve;AKbD>R4UTsm6SI&ml@w{uM#dbS?
z^FEm-DftH7M}YgB>rggJ2}eTOZV!m{_tJ#@TVyAI-Pz{a%ni@(9hENp-yuH%{LU%f
zZ2A4cmk9VC1rUmJzxrs6us=q20@$5Pve_n|v#sS0b|#lGXsI=Id3u~e2*t&LH^Cr|
zc!K-{@H_X}W$TFO0-Wf0k~#>`;XKSCTOGk?+C;%qR6r<B0d`f%yX`s_o~8mqaj^ge
zIATTfKSO>(aUKZ1r!9H#EEN!-prAT=9w+wd^gl;-LUI20zC$mmf1dmV@H<cT$hHjF
zKOin@UZ5I6fq8)gL3LidNOl6)3#y=FpT-q8yhI@c2q~yy3ch(S3SOoH0u&U~RcLpn
zrmEX@R=h%fLUA70j=8Q%W6}$TSE+yi1<t9{j0;B1s}+7qazcURm7Uu6uaTTk9C^Eo
zWflp%*GWzQxpS<OvD+&<%l^^L<q1C%-k=mhfl{zUVUzMEr4S(HQ;Qt%3^!mIH)LRX
zqchvY<Zxx4Gdq$~Z&4Egnw+x@+2&NBsf|7RlWL(u#O(G#h#^4C$BS`Lw~eE&Fr#SA
zu-&PL06hgYC7eLVs2i{6h8?p9g%BXbIn|qOE@7^@d<)*F@B(EoN+3XjbDvxG5*pPR
zjCr>E@wzW%5Fn$Vnk9%=Ren5=ET<Ggahc*D)2~bKfs{ai1m~{1Y%>Kj!;`a!P`s0<
zMI1sA1c)f8>#aUfEp^7>WG58o0^|GCBH}2DAV5SxUA^Gr)S}>6Dj-0C^M#shBSC+e
zTIi1_J)yW<Fg{ByB2J_T0z^2gsPHyYf4WppFs1maQPSi6`Z1j7TnPoeqpxiQ+qp|u
ztJl*?8`M@g?$mpqt9?siP*a~|!PMt}R#TsM4r|EOrAQPIzNjag{n<H5{b|eu0@B!f
zn@H2sr=oA1`UueXD{mKl-UO>CJd+9uZzm6`8Bo!84)qbB@4mN-2PGD9$oXV*3M<vR
zB%Vj5gtt>(dy}Z*%L}NG0EJ(CyZF*9&>x^g0wg-;`@_`&))TREG-Q<;ezsq~hV|*i
z;O-r9ZMZ(&!d0YDW%}M!t_#~%H7V_*CjG9eNz=6%Q7fscQR5;0q1}TG!;;3ebTR=>
zcD|6A>}1EDZ1+Q98M=lPEtgRXVX3sJx<<5INi76uaZYTylbEpN<$lQUi&ry?nsrn|
zfEwq=r`(1|SL2sVk+Xqv2utN0uPPHYo2iBXHSckjNB^Y<S>W#1--{C1dzbp7_pWQb
z_ZW^JXh1!R!u$KG@J60c`KI2l(Esk&FCy78@6X<{P1S{F3)^d;_z06Q^tgHqM1MSx
zXudhso#Rkd5qW?1maWqlK(xkAG}Edq%(`C(@${(M`t{RUF@6lr?(K1zJjpba2ANjR
zAt^srNx9hmK(O~frC`jcT0AK_1COJUo2Vqnz2gSh?brDfbo_<Vv3|h)W)*7)7?%yY
z^R;#x&3;+wRp#rH3`hc8bHxY@t?JF)TB~XrpQdpFjGrGd4j}_v=-tt;pG)`EVW+p(
zrp8RkF91g+*i=u!eLu0g&$BMW88h$vOWY9B!gfAv6H&Vgu|-5S#Wv9-iKuy|kbo4P
zXR5(`S%>=po#Q3%hJO7<rtfB^Z_my8DTeBiZiDI>r0!=bb&<M6zwgy-DfZyce*I){
z_4W?^(%btw^)*r4P1d7L*5FRn8{qTc{kh^jG3n+NUfEWp%e+60q8|BRaEOlIuqucC
zX3JnJYoS{rkM!$D)3dwi+2yNYu5_J|)YF~nBZgGcX$(pKca`+W<~p~Ec!VX~D=Wqf
zI_|_0^&e-55s){L*CG<^#G28BdljeJg(Z}qBqafqk^OuLW)?%~o6(8<G#LqCj2wXD
z-`XCx<ceAACEV*@8rT2w{QFr_6F?n#A;W(rD{6UFN?iPTvJ$`=>6l{|d>i}Go%M#k
z-mhQB;O@ajZ`pO~8A~G_vZkIu1n>V*;XPngb!TOM0gbV6)uztu*Vn^lZ+HH)x927L
zDy{Bk+^g<`rGu5FgN>^zkWV=MN*mil|JB=LwfY&>_VkGLJ;C25>uIZ`EicRFo+<1*
z9dAs`)f(GY$j@U7wS_AFtd8+gzdlaw2T4;uw!yo!mY4LeCGXdg{0bq5IS7<7B=7{4
zz~dbEt?)aWLcYu!ZuR_sf#e+5!}yXsT8J^UFk{@cBmW*VEgro&xaVsB9-l^EF2O`e
zUoKU`gT7N;+#EktTbK)|j@25{dC?9$aIJA=E%sIQd!ZjowMI#PM9NNZS)Xh+Cg-{g
zV{LWsHNh{v@E@>ppt7Q(P;wTrQ(|WBq5leZ;PwgKt!_g$y-#J+QK4%(Ms_v3EuB0u
zxm<-#@N;juL`>-;xG|bAC27ZOr8BmpI@YLGr^Y(XvD!R)#9HE^j;p;xx8kwVj%taI
zl{(Fmek=$GWqo0;DIJ9|Zbu!fj0H2IIucrAlXI1}=aQAF@9(YLpiP%(8ga3?)9Oxk
zy4cRF1E^I}rlINmVb}Q_l?I|?s<yp0)ve6opL&nyShF=ITdTY+pW@n8i+!xO%2!xv
zAg(;3(iM%)n&w=0zENtnN|&N+=s#H#9UK-K)FYz6RgWARe#T#_@?5%i=$GE!mwR7)
zmfq0u;U{$udJOFXUg#T>{r}iXAk>H0FZK>ur@Gzjdf=hbI=(cplL_(1SjvF^XE@kT
zUj?sJcluojuXbpSN!Ybnc7sr^U&TUmJZsD38+#|R1bg*FtMu^_gY`XamTj6V(Zod*
zxpyF-FXmC$Zd8Tsz~It~g>Gx1*+!Ep3YK|)q8ii}VCwkL{i43sM!1K?>c>@)ieK#=
zCPk{&Mkt5%i_oz3c6Wg#6s1+Hb1#2|FNlb^LmgLphi>*BQ`Rrlk3ssOA?adLW>P(i
z`-Fe$?IY4;F+(CK{4CmklyAJb$j{P>ntj4Q_4c`}+CeE*H$-^ZLcm`<MZkMD{8Miq
z*8lL#rMv;p9ud;4YZCME{Ug8nM<s-e933(u6B%ry^mAVF4~Spr9dPXeoPwLZ7!y|<
z6|%-x04&Dd9s9la?se)`!_-M3Q$acw&<<AGlIzngY~aw2Ix^vo-jN&BdJ|H;K^~Xf
zzf>NF8%rUg@T`^R1&jnGBM-4(>>YA#curPxwW1lM8YL~$Gr51{*WUiBr3xDv3(4b0
zm}}F!R5yZg!tKzks;AIPn#T*?p5YTx+}S%}vu{oZ1kJHRUhA8Ke+~)>(0xrWF!uES
z?(L~Ns1gSIvAmQbiIpD%r}j>kV&o-N*HABg>V8Wd^=?Q&shXP$y0L3__q(ynu22{0
z@_oa1_UpV0_1TwIea4&)%(NSog@s+HU*#t`1ztVSJIHpachF{e08Llu0Z<-iSe@wB
z=B89j-=4%q^~qUn^gzp%-hr!md+AcP-kbI9FnO?Hk}oD9%e9?l-k-f?Tl57yu}mk!
zyUF{r7k1A1tMpo>*U4^I8*RK|y&e5)wkT88j@oZC#uv}VI<wU={XoBdE&YAUX8!?Z
z-q_ms15zy_4ny~<%GSTPMB^nG_tt}%Z_6Xn6d|(izpAWT5xKs?YhU6b4`LfKhQ@`L
zd^z%K2`x*6_|&N3pm(O6f^Qh|WjyKViW80uI$2}lg$=<Sz0gIk1@j+AGEa}P8Fh+e
zLX6K?Lyt2Wmu;NmQBJ(Ni%vzzaglJ9R35v<zf1d2-Q`7TPu&o9r|N`yHz2jAS(qDb
z3`)j$NK8XjV`hXM1=|0=wL1^6diwu39@0YlroG#~nWlYHT9neJJyND=X3~62Gnr{x
zL_|bxq~@E@w|t{Sl&Ejfw}^;{h=_=Yh=_=Y-#O=b&ui{&Ce8Qv`~5RB=kY$D^Eu~y
z)^k30?uRV>a<gb7DjM=pbK>&R{JJ;a@mK5`^B;ftLc{rwzkJxNv(2fEbjNv2+vqvl
z;n!rEPYfl;Wt)G2cfDNS9sgvGl$o2k7nz4m%n2)BZhPr%yEl_BWb&Enw2069uXp}%
zcab<d4HTC#&Yy|Rxjexh+m-A^*c>pCXym+{Wp0gJAY=ofjBzp7=&Gk*8Ks&7_yZ2$
zI;YQCmvNJ?NYTsO=*z5Gf0=f*{hQ^@JZttuw?n%l$d0yiuRX4D)y%AGB#S#_Z5Ds!
z$q5s6yRwbCv9_XS-R=Ko-I>|xarA3O`sup1#$c0)?lqb6_OOkI=;e&`d^@^Id}L}>
z<AmG>cD7rugl)O(l%#1wiRc1y0=taaHs7#q+Qr*1W|*9sGR5yHt{;7IadB=eVlT}x
zqmeE-L6Tj!yO66pO>TPv&L{V&SNu3PCOO>||CB1RE>q_psB?=vb#}8*aoJgkW-m6o
zw>{iqnh~jO$W2nk4U5iax4If&?g(9$kjr9sd3%uAEPmg2H+OaNRKTq*GbJ(EoZun@
zde=W?UGXu2u(J@BJ4El2r_89Ukv7NVtY$Ah6m#M5p-2;(MO~o=M!uFT&Mg&vs~Xkd
zs0Gx<P@V-8vgeuFd8+Cw5vOm=bgeI=8h8(jLY_>4p*#ihT-6`S=JepoEA0jzDY+bu
zh`---cc8WMl*U0CsiZHg6i1~r48#;wEl*L=b6>7b(bHY0&V6->H{ZQ9!F+d4^27u?
zoHHM^j?8I9A8bUp?;?L(<N;q!(9#}cHSJCmook>gHEwX^;cavV?y$%Z@)=wgpP?$O
z%N%6oM!EUpwr8yS_>3uT!i;<3ILePyxnggEksIbXDwGqpZl}v49*VfBV8=7AFDYY!
z`Cg#ZEOQ<;$GAP>=o7O+T{l&^Bql>{r<u!1RLmaL(J`~`foEJdjdLe9&N7khXwEtI
z3O+W&+%xB`Q9R8n_+n<x%xzkCVstACMOGAYD+<{ax%nI4bW{5lXRN)SNb~&`>98_A
zBhLWjVUg`6+aP<q4?5!tY)*d;aIMuE|F(ac+wJgQEf>zSi0`1Rzv-ctXKVlmTwLxh
z7U`n097557aKu7UnN25^jrR@79jG?6M{neL%fQIV*mh{in7lcG&1a6h<{WvoVxs;b
zMD$FcE4OT9eNlmM*~nUA=ew)K7HD@JO%}PL&X1-%b4}G_7x%06vsJEyf=oA^(yqJ{
zORgWn1)p)M8Cx-XmbV9Eq=M$O;Hp;8NvGPerTJ#&K1%Tgmd`H~E<Z3b)0F#!#a)e>
z#1@<Hs3cNgq{7wzHqU8BC6To=42YDM>Gs5^+la|oarxal_=eRjNY-%O+&c_&pAd?^
zt?+jVuHp4hX*i#KaQ9~X`#>DucIGzH1(DB7<Ozo_h<s?m-H8oxPc%bA?AN53<ET;W
zDk9A``*z-`LbsOx%T!_W*mV_Pl8xQ(|8qL7?kRPMbgAFmaarbJRAeWr=sPqv7_R8M
zb716r6dGa|GM#y0Y~j8$&4kw^GyF?UGE+omRx5R)oeuGPOwBXo3fGLR#?E_FjG17J
zD#olg6uaK2eK1mZq($ZOiG<5V?TnFC*|yY)Ei=EJK2mChd}HAX`R&%W<Z7`c$4ufz
ziYyt6;gT^EyS9)Tv4!|f^moMUIHgbJaOp@3LzhQ3f+?zfY*E@;=7C;v%ET1&d?`I?
zTAaOQ%Cut>bK}IVwcmnG{);8TO|%sg)691C#fQwu^>SOhy=mYU-JJnW=__gwX_fD*
zSPYk>oJd1$U!8JV=0a^x^V%IEMU~Gl6fVyN+$@m$fYcUSEK(0MYwk`Bx#@7R$lBdd
zFHZe?>aDxhpF87VI(3k}<X6buD>c$GH=$AN&y;*BtMchqLV4!aU=Ftix%>60wNc|E
zRVc1@=a|pcxq*V|1KaWjr(2o7)5wgo&jKRll=PhuH`HQS>5xmC@*1DHJnh)7cQgdl
zXfgj$VeXal)W+s>>)=Y(gDKzZrqgA<%iXSd`by`$i=fhWv}kv`NPn1;^L=!cdlo&l
z(or`Ob}Gf)T(i5BkGf^BA$wPBp1nkA^v5!qp0>Z;dB@gK4~Qchv79>t5sB2_d@#df
zNRu0O_h@t4;{W!xgqGw#p{iBpKcVWwX61w9GgGcfnX3Ovb6?_RE*JJ$iXSpZ&9S=7
z%=APicH^eRb3dFhCEbjoO<6g?XnRP;N6oelw$5z2pLmU4%!PAumoWX~h<TvM5}_&a
zJWMw$B5XUa&Y9~^eas>K6o>Q`XI`YPy*+nZ&(0sa0jHheGEWQQQl{E#v)SaXtub8@
zX?UA{|Eq<=emOTI%HY$^g+;H_%wd_1bi>3@r2lOv^e8}!Ofl}simADtH_-%N5Sy*`
zz%ynHN9D<VzC_i0VWw6?3s5U_5=~1?vfXL>m-=Md&$HX3(vrH{7fdZ%m=o-OxnMYV
z8Fyz(ecj6J!EU?SuPnN6dljG+`Sq>&=DSFHT+Pje${iK;^6TC_dBaiJa(mchi|hcA
zB26dvEI{=VlY?ybS@WS1`(Hrz8<)*<Z1b1-YQ{<KdwN~v>U2AE&Twv~P)u=l8qXJJ
zDt2`NDrP<am10hz?r^dj`;>k#cTXlqM(%xwzwVp;CDNT2nU6N*DPpiY+eCI4ipX<&
zV2cPxFYR^!+rw^YzXzB-!_1xKE*-g~*`-Yz2Nj@=epF!FmwN+a`pUh(!cE=S3sdaw
z-7GR@aECzd+GCco*Q|d0k8e)cFTj{hpG%8gz@1F}0;ckp6{PZfTGH0tR?<J9jx!$t
ziW`@0Kl*0Qj^@V2?L7^K<mR@O^N)j1%^i+pbak~E{X@l&DK<p0W@^ceH@g*}lKx!n
zdN^^i|Cmy2kJj`j<=kA+b<7F-46at@!fQTc7+p8Jxy!_7nlt-^#EH4{O;zlbj`^md
zg9+N4C8BfY1U8qs{(Q*wClnoYAGkIr3iljC0|i%X`DELPr-aN+itVw%Zh`1q|4K2X
z+9Sz4#7aqH<>BJF5H3Ez?B)Gk&{Q?HHtwT)=398pU?#Hfm=hPZ$uATx?>^q=7Kpjq
zYY<Z#Glie*zFgiEYtH!Qvt;Hep8c}lNZD0RpTW)}YhlxDyRdnB=N2}#uNAYNtci){
z^SAap0^<DVHmH2Ld?IFWV6%tfLqp91p{S2{)Qu@LQc_%2w)x198OxaymKm2vYF_Cy
z(Qu_md7&Y8F|(l}i~U`X>+?N%dt9NI9*_PMP}P`9n@>+BrKF`Lrl(|N`?{8l#c)aU
zQOc-Hre;MW`*);qN}B&#%iXs-#YYd|{r}wNdCn4@$?r?{Ys3fJBc@XHVBg>1n`msn
z?@<id>KACetiT*>g-5%GD)9wcsxEt_yRNtjMh)Oj8O*gRSb_e`8yVTTLN$^*?Z~d}
ze_6POd9M6|4)fX-Y%TeW`P^zWzVjRIv}3*kHYe`@kmeL{0N9~m&B=E(=vEXx?mP2n
zuzSH)_xEErx8DEb*eyGJUSfJiy1UM0<=mLlD3~+Q{0EEuF@EmtIl+B4waBNI+LZm_
zVk>OQ{&1<sY^sSlFoVa<UuMxKJ-F~1p9-EL{EUTaHvc+cg9n%YS)U4?BfMF#1=uQh
z5qQ}`Wn1Daz-t~{iLd)q@CM<x1iOIUf_H)U1s?z(3HAZ|1)l<+3%&rpve47k>JV_)
zgR9kdJ{24xd{pow@U!3-;5Weu;H2PB;H*J@ooAcB%(ggJPy{G0I1eZ(C<T-ilmjYS
z=x7^K38>=1HKdwP1=R`H5`=)df_gwhK_j54;6fl?&>UzbXbrRzv<EH{bOO2vx&oI7
zdH}ryy@9@he!%4xF0ySO2n_My+CI#ug5iX(6pRE$3$6wd1!I8}!8jmQ5C9Vd>A-b@
zOd#7rV_VJ1z%&o8n$vwMxPkCZf<`UeelpX-CANTD$Z?woSHNta3hp3$mxWO_fAbcu
zfV(}o{PTP&XhnFwpe>Li=m0DfbOII$x&RLdx&w;^J%J^H-oQhGzQ8iU0N@e9AYg@H
zD6mp60(e|75_rPGRkky(2G)3Row3%Zf<(g42$F&If@^>cf&h3{Fag*km<VhZWC70$
zCIedq(}0%*HvlgSZUVMjXk}Y=E3m_ZYuOt<72HnvO~IYOE<qT0M{p1Du3$c}NAM5e
z1HmHTL&1Z<KEV>;6T!cLPX&(v2Lz7-UkDxtz7#wO91=VQd?R=U_*U?5;E07fw*Q_3
zj(TwY_mfWrn+g9ccmX(WVT>(c8*svdE8q{G3bqseQ?LUlG}srg6F6J23n(nu4HOaV
z0g4Is0_O?#0VM?cfl`74KpDY7pq$_kP(g4Qs3bT7R2CcsstS$))dk0ant~HRNN^IU
zV_~4};j>!0Gg*BPu7?}?R8W|3V?j}%sfA=)!1+Kk53YdbJ{6QA+)_{$Xf3D!v=v+c
zv=>wbItpq4odhA^VnJP?tDphUUC<clA-E8@R1gpJ7PJKV2-*PsEL>(gqXTfc2iF;c
zd@ATfc!;12Fig-L7$N8hTq)=cTqWoWj1~+45(I;QM8QxXNiYIP5sU<`5sU^>1!I6~
z1xdgJ!8jnp!cf~g0g&mz_0A-p3MLSqESLyP6=VU|3nl|M2&Mru1UCRT3vL2#5!?dI
z65IydF1Q1@LvR-`M{qX~7TgQmZQ)|u_J08PdT?!D;8VdO!vC<)+~!{lEb`#;Kj2fr
zQo@S`%YY?<<-kLNmB2E=D&P^pYG8$6EwECs4tQL!0eC|29I#rj8F)(Y0`RopC19Q4
z72w|%dfCp{0X*x$b;c&23U(6SEZ7A+FW3!iwa~(r_@epCj1*q>;7Z)?Q^Bi*U$@Z5
z=KrXr%m1bamw%T}1)mUpNAMZ&uHXw`kKild1Hm`Ihl1~beS#l=PXs>!p9+2f4hVh&
zz7YHYd@1+~I3zf`m22uZf^&gy1;v0Pg7bkN1f_r<1!aL_f(pPdf(w9O1yz9)f*Qad
zf)Mbhpe|5oh~I1tfU^aSfx?0dfg*x<pqQW~aGszIP(siiC?&WEC?mKSC@1I!R1ow4
zDhYZ4l?8o(s)GJNb-_TOreFvV5)23GSQujW>ybcx4{pD1=u^RH!i@!EfTn^ZAWkq2
zh!>;+Ed*&mD?tX(Mvw`#6J!G&1XF>F1k-`ef*C*;!Azi=U>0zRU^dWGFbC)*m<wDc
zm<RL~ECBio76O+G?gs`576U^BOMzj6Wxxo*a^OnAO5iHNDqyr=HIN`!3nU8G0ZD=l
zK#Jfw;2ObZAXV@JaIN4aV1nQkAj3j;cX9_ZJ-A(Pl1~LY2~QU60;URf1J?`o05=Hs
z0y6~rfSU#Tfm;LzfLVfr!0m!Vz#W3az#PF5AS^fv+$}f;%o7|3<_k^$If9eGLP4R{
z?tHz-LMPjyg@Fe>xDNfNPX$E@FBO~z{7X<0cvw&dSS~0JJSwOJJSM0DtP)fQo)pvq
z)(GkVYX$XzX9SIa^@66r20=66SwRb6lb|)QS<nu6UeFQPD(DQnB<KpfY$4uuc@N-K
z53b91_*Bq~@Ed|Yz?*{pz%C18ZHa?`-5y+t@A*_Pl<@n45x`!-NZ=#EXy9YP7+}93
z3HVGf4)|P<3LF%q0bdC+fUgCaz+pi)@SR{P@V#I<a8xh@_(?Dm_}M~j+g-N-zj|=p
zb;75DI|%<FxC{7Ga5qqBs4wwe;A}w-P*`vuP(<(mP)zVo;5@-YKncOaKq<irpp4)#
zpq$_dpn_lxP)YDKP+71Zs4Cb9R2OUlY6`XhA;DIlj$j*5Pp}<mAlLyk66^$;2zCJ%
z3U&j{1bcwyg1taX!9Jk1U_a1SZ~$m8I0$qU90EEC4g(hpjsRT+M}h8wV?YnVao|$H
z381&&B+y4tsEs?9_Y<503=k9n1`3J;g9Rmkp@P!Da0^}S!BQT$(t|r#uJWm%65-K;
zDnNpuI*=%+1tbaT04aj{z%_zKK&qfAaIK&jFhS4)$Ply!t`oEavIHH0Y(ZyWil8en
zO>hY?U2rLIqu?^&CP6=7rr>hmR>5H4Ho-7pw%`ijPQg{cU4pBDxq?LC9zim2uizSB
zfgk|>A(#N%CzuG_FUSHO6if#GDVPQ<72E*)OK=nLu;3P8x!^Y7QNbO+V}iSYRf4;L
zCk6KcYXmvKTETt5GlB<z^@4u_8w3vl&k7y}HVIY$n+1;n&kLRawhGn&FA1IoUKXqe
zwhJ}_uL(8*uM4&SI|W;Tw*=dOw*}jQ-GUv!dxD+7`+{A-UcqkQBf%cvW5HfvzhEEm
znP5Ngx!?eBP;e0VN^l7HT5uRREI0yuCpZdxFE|Dq6&weC5}W{j7Mui*3ktP$r|jPZ
z=K#M8iU21C#eu&BC4jSr`7?BB;2c3Y;9NmPps1iSP+U+AIA2f`C@H87lor$j$_g3+
z<poWEih?-c0zq@2il7xxP0$voA?N_q5_AG;3%USx1>J%Af}TJ_L2sb3pfAu=FaU@X
z3<BZ>LxC285kM=!NT7{iG|)~k2IwG20xlAa13C**fi8kHpqn5AxI~Z%^b}+Ry#!N%
z%LLPbzJeJ*f5A-Pa=|QMkYF}2L@);!CYTG15X=Lv6f6L)5-bEp3+@LJER3`_F#iO`
zdT=)|$vzc4M0lLwVPL#q1rP`x1JVRf0O^7?z(m2*K&D_lFiEfxm@L=?OciVat`}?t
zZV+q(W(c+eHw$(Ew+MCuvjn?<+XcIUI|O@xIfA`FSg;ScTd*IPCpZAi7aRm~1c!iy
zg2TWf!4cpA!BJqb;25w(a2$9@Z~|B+I0-x=DAdlKvR4Ss0agl%0FMib15XG_0ILP1
zfu{uJfTsl&fpvn)z`q66fQ^Ehz;lAyz<&hwfGvWCzzc#Vz>9)7V4I*h@QR=n@T#CK
zutU%Rctg+$cvH{?*d^!=yd&rdyesGp>=E<@J`fB5J`@ZB_6ddpp9n?(p9)3-2Lz*m
zF9c(NF9k`!A;CD{8$l}Ytso6JBFF%K5M%;B3bKJ?f~mkSg6Y7of*HUG!A#%}!7SiU
z!EB(=aDOtL1Dq|G3ltX21BwV10L26gf%63S10@8Dfl`8{KpDX@pqyYiP(iQ~s3ceg
zR2HlTstVQu)dlN-nt}~LNbnp`N3a>FCwKv9Ab1IABzOgAB6tnBQ1AxOOz;-aT<{Li
zQt%$oTJQnTR`3zfUhoOfQSceiN$>@5vEVD9tKb`;yWl&Zhu{a`Qo&C^Z^17>AHi=x
zKfxcs0Ks3tK*8DV-C29E;9Ov+pcpV*a6WK_pcF7tP!<>^r~q6oxBwU<s0xe~)ButN
zAz+-KE-+ru00=Dfvv)L2fC(Pl9ZiN$1#yJ06Ep|11g(H<L0e#opaU>X&<U6>=mOj*
z=nmW@=n2de^agGf^aXAc3;<>e1_5^ph5~m9MgVgKBY}G?#M$n;8kq0Fbytp01&M?g
z3X*|E7TVha?l*s#=l_d6xB`~=RIrrrG7BSY{xk|$?!o1M)Te?B!jB0ufmMQR;7P$$
zV2xlpuvRbwct$W2STC3bY!J)_o)ydiHVNhen+5ZL=LHLZt%8NXOM?4>mj#P~?SiGi
zYl3CK>w@LLP75_{4?hO%^5A;-9iIxGApEXi4X{V>H1L67J@BDmBd|}f3HU^?1^863
z6*wT+27Dpd4ty!t0UQ$S1ilgM0=^aO295~!06z%!0zV4&0mlUUfnNj%fL{d%ffE+m
z*)IPYIO)N4`CmR2d`tMO5kCL-z&U~+fpY~v14RYD0>uTt1Lq6=1WF3d>fjE|(t^T3
zSwT^tyx=^bqM#&jfuIafMNl57Ca46|5L5wb3919N1+{>>f;vEbL4Ba1pb^km&=hDY
zXa>XyS^)8a)<6qEJD`=IBhW_B8E7Zy3Um-$0$e1x6zFW>O1ro80lIo{drNnp3i=c7
zAs7f;Di{Lv77Pda2(ASB2}S_}1PQ=E!B}9hAO#pI7!M2=Tnk(wNC!p=t^-C1CIMFq
zrT}9E*8^h(Hv-9mn}KnHTY>R{+krrECy-{LuH6Q6fea6B8(im8!92oQf(1afU?DI?
za6d3juo##wSPI-ISO(lASPsk-tORZqtO9NmtOjNa)&h45)&X}3HUM)4&jI&XNU^=M
z1(@%_^-hjY1zQO(6l?<)3AO_d2zCIA1v`Nyf?dEvg5AI}!5-id!Cqj6U>~qjupf9_
zZ~%Bha1dB6I0QT;I1D^3I0CE_90mR@I0kGK90#5goB;kKI0<YK6zb^C-Y*Ew0bUdo
z0k#Q>1Fr~50Iv#413N6Vwp+S9u+xLv(r@`xP>Jx{f-1mnL3Q9gK`r2YK^<VPpg!=C
zpb_w~peeB5!WFifpPIkSUFPQ=Ts05+RPZI?uLUhB;IM^mwt%+45f83_AABn4K=?;N
zC*YWcdbWVBz;O?*fZuGYstxxb{D%h@{?n&|UW5x>;q&(a&KC3s3JV4TMFc~DVuIno
zd4el}5`s}cDM12IMlcpACrAM*2*v}I1lIzU1?fOl!F51&!6cxjU<wctTo2R{+z8YY
z+zd1j+zK=j+zvDm+zDJL2m{Ro_W;cW^MRHYI@k@n5NPAUZP<1`72Hp_gJ3amkzgs%
zS+ES~B3KS|6RZR-5v&4w3RVNX1Z#oI1nYpl77}ekHUa}YxP}b$sbCY~!GbNoP{CGU
zxL_M_g<v}{Qm_LUWud;U#G62Z2Um$ip9<b4oFsS`ND;gbTqF1pNELhxTr2n#m>~EZ
z$Pj!9TqpP%$P#=DWDC9rrU-rnrU`xqrVD-rZWR0u+$8uDm?=2xB6r%mRZtkXO;8k=
zEjSOjQ&1APOHc-wD<}`#Bd7%2E2si2u+YeE#~Q#w4{kdy@~I$1_yIv(V6mV9utd-p
zct~&|uuKpSJR)cbtPr#TRtnk!j|(mWo)BCNtQK?wo)Yu`o)+{1)>*jJc1B-dg9q0c
z&-zp_fbb^4AYij#DDb>s1h7>w5_m~48hBYS2G}l00$vl016~)T0y_n1z*~Y0;B7%B
zuv?G~yeF6nyf2sz>=n!aJ`&6XJ{HUZ_6ueMp9$swp9|&!2L<zhuLKK#uLTQ%!-D&P
z?*xm1?*&VNqk?6?PlDyZ&w`b}altC!H^FM)cfnfVq=lw-2U`ymx-tT82RqxRf{la=
z3pN2o1Y3Y&f~~-Lf^8168wDjq+sRW(umdO~*a?&q>;ftXb_10Jdw|M<y+BpLKA^f_
zKTuO}00;>V0(At3fO>+%Km)-MppoDx&_r+yxKMB$XeKxTG#8u%S_%qva_8^Xf^&ej
zf+9eBL2;m?pajrKP#U;cP!8xSs0efyR0etossWb@Y686lwShi@dO$xxLtucQ2{2F)
z2MiW82Zjn-0mB7tfhz<ZfRTbuz$if%;A%m4V2q$AFjmkTNEY-3#t8-h;{}6&Krj?Y
z6N~`T1tWopg3&;xU<@!xkOWK?j02_$Qi1CQX}}GF3}A*J6S!HB4csD_3d|Br2W}V4
z0PYaX1m*~40b#*x;BLVjV4h$uFkdha$Pp|6777*uiv;%r4+s_miv>%8C4yzZLxSbN
zGQmpV5y2{8g<v(XQm__yT(Ay!La+f?EqD%iO0XGtTJQp}PVf@&Z^0|TM!{>qbAmU3
z{|Md!wg}z<UJ$$oyeRkp*e3W0ct!9D@T%Z5V29uf;0?i7z?*_^fL(&`fOiBx0PhNZ
z0`>@g0X`7?27D;^1K20{3;0BEc4v3i{#0--a6nKD_(E_#@TH&>a7a)V_(o6x_*QTM
za70iQ_(4zu_)!o7jtS}lzX%!tzX}=yCj=J)e+c4%KLss;LL<%XM}K=i(iS+!gS#I&
z*QbIGgo_F~0mTJffb#|2fs%rrKxsj5psb)TP+l+qs3;f&Tp$<<R1u5-stHB{H3Xx9
zT7oe^Z9x)HS1=B!FGvL%3eteaf()RkAQOlaWCQVnsXz<CbfA@B2GB+@6KE%x1#}S1
z1}+lJ0Xhrj0$l|2fNp{Xz$Jo(Ku^K_Krg{!;4;Bdps!#V&|k0|xLmLj7$jH)46)GL
z?zL-x;U3&xdxcL0PZJ&~SPzU6Yy_?rYy!pzwg6)VTY+T3Hej4!J1}0b0|*2=fi%G`
zAYHH<m?+o-WD52IlLY&K$%6gBRKWq@dci^92Eid<hTt%8v)~ADi{L0QOK=RhU2q(@
zLvR9^BRC0!1%)nl=j*!#=K%8rMS%H&;y{j|1h7z08dxMK2RtCC2rL#<29^k_0S^gk
z0?P!ofky=OfE5;M*uAz9@R$d;*RJxZpef-e1<impf)>D9L2KX{K|5f*pd+wB&>48v
z!sWJB-GKjiaJAavQ$Y{HF9>=8FADkq+XVfAR|ErrR|P|W9TwWyO1y6VG7kmb^x!J7
z%ci>6@Y{sn_29yLd@6XK@P`&IwE0I-{>L6%{{1#p%ZA4gKH$NHzwoIbiSU<#alj!9
zZEXPoaM*(@;5(lRCJ_GK!qqnab-<4vT>fJ=)xd^-Hh-Dc|LVboPxw^uJK;YqRJZx3
zQQTQqMZo1h$ESiD2%jss2`DPK1t>1K4LDzL2T;<&aJ$YhP{xB>XE~c1V8i9jU#1C_
zJh*UWp9-oFt}dtnge)|(1=I%Wd2j_Z@Ts67;U<EnKr=x+&{EI}Xlo&4SJ4jW=)tX`
zlTQVm33nBA19}L00=)&70sRF1fq{ZSz)-<3;0nQ&z$gp$o#nx3V2lS>&9OceBoQ7b
zxCRIW*8=H+3?NgG1xyx90j?KJ2WALv0&Wr93fwN34a^bT1>7yT2beEd04x;T2RtBn
z5LjZtz8E}M3M}*Bdgl?J3YHUIDR>NcLhvN;lwd8e&VqfxZ?GQN=)tYxIiCtP5#Azr
z9(Ymk67Y&(JFr9WI`F38E#Mu&ZeWiE`#Rj<ec(e6u2%beD)^Z2r-ILbF9ZjHLl!#Q
z62At%_25c8VpH}7nZfsjfArwO$9yXIneeZI-+(^^CxJqve2Hh7zsyOZu;5&vn4maN
zLQoPYW1*$3Rau~d2Un{~J{4R*xT>HUP*YF~s3WKgG!Qfdnh2T#%`DiL4h8W*OAoFR
zt$iwJL%6-51JFs(8R#nL2J{g01bPcD1NsU20|NzvfT4n6z!ickfl-3dz!*UykSs_6
z#tTw`G{FR5qTo7Uk{}zHDwqb`Ah;2@SuhirCAbZ^!-9RWPjDv?_TaX`-98oELwLSm
z0kBYTAMk+SL12ksDX>iNFt9@KDDb#o6|mZZeVswD26)<otL8eN3f2?eD0mk5k6<(K
zf?zAKP4F`Cs^B%?4Z%)em*8#SUBP?62NvuX^#^-_eI8uBKk=zxKj8y{&w(!mUjg3;
z4g*I7-vd7iegb|G90yJaeh2;(`~{pn+Em$o8+LGx`OBPRig<AKF6L7~al$18C4n-6
zvOonvMWC{v3Q%280|*IfJIEeiyKkZJxsy^dC)h96&dv@ONu6NcbZx%q{QRtm<5Sb8
zHp`xrnr7YzacOE=N_ygilws+q*Y!wEnv}C3r}0elP24*R7b<j*`E74s=7leC?@lmp
z0GQxkQI*iV*+laW5!2qc&Xlu-&-uoga<=q2cg5taW4`y_zQQPBa$;I`O2ULh^YVnL
zc`Nc}%tG~I7aE(GnKV8zb5h>L-is_|FTnExo4P$G+ctg4ShG<dwLdHd|FVBQXn#Cn
ze#{#iE}EQXUx8v?39!&WxMUCWUMKr158I_#^kcYOMrNvc2UucSg6sc;?95cNJ;KE&
zrA(NZU|)}6Q|D)<j7u<YkeHM*b&^e&wXc=QWIH7!B_@qev05=&Q`0A>m>0WbPP36}
z(Gj~blM`a%<<iGS3QNzJlrlCW<66FL-F^XjxNc%{a)NoeMuL0WM#7{FS1tcKt!Akc
zr=^e0ao=nnuAP*TmOUXo!LGt*@crpC+VAKNm$fZR;Kd(4U~jd<70oU*aXf2CPMMJ5
zgSPL(B_l69@o4Wo!j<iJ>!<jaG$f>%cUSqidzW@8z4$#+Q+ufn*W~5P`Mg9slFPlI
zt&)Go!KsaKZ-e1YMQUfvd&MH9xG%x48~vgPU(wvRNsu)=TuK{(o#w`zps1;;{nmTC
z9Zb@Gd%XE&d(ix{{bhdHo-w~{UzlIE$>x`BqxoeUVSd@#nqRgu=1>op(Tb*|CSQ{>
zDJ$omoN#GjV)oSJ)Xbdl#qq<k%uW{Hf5ga^9a`BpxCL49cDwmbiBHZ*%8GB^tVQ!?
UZS3EZGE-8r;(a+e*<+ji4^?>2L;wH)

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/examples.doctree b/docs/0.10.5/doctrees/examples.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..412e2466d29d3222ca17ff6f6c8e88092ce11243
GIT binary patch
literal 4707
zcmb_gTaR2v5#IIg%<k-E_To4=i8nde1g(j7##|nV0}o&m0vm6Pi2)&*<DPSRrhE6?
z=<c&S`+#H~9C<|x1UXR<5Cno>5h*W`@<Yf!;DKlO>fGkc#Kd{XN+X@FuCD5;uKKEK
zAGF^2+4fxiXE$^rWHjzE-;ZLS>&!0uv6qHCGTGbN)n8}7%64r>u@fDq%Hx@x1BWMM
z;42<w_psR|ej@|jD+RO-QzJe(E?RcI*K=GxW?>R=eLWLP_cFV}j8Srs8Ym?t3)0sR
zXqUWzX$>O2TM-M3uVp_?CW`^{juamjJou14ZdJ+8QoCf>h`2McViyA$@oazIwiAXs
zn@lX&j$0dvRlBn7<^EmGmG0mA>CeCR^4I%`iVt<)XNKWxC<CtgIHvmrd%x1xQ`%(d
zKy>Vq=AMypRC`XeM4OD=#b(P$6Y$2CUH)F_k=!9*S$va^$#0FFhgtpv5VR*8@sjwW
zSP+*F#0v-MfQe1`O>E!G#8db^jo(H5p1qf);(2iu>|ZX}#TD_w{$hT^4t&5yiY20X
zkzc$ixaLk}kOOm%rOzGagt6j|jP`t<7~uqQe1w&W9V58obHniLPCU$)_wV0?r<~iR
ztM1=-0y$7jo%V9`cEvS&^YhS?)h_v*<iSzjZu*rTGLVKV7Bro-^$7!uXS-(CrwpIm
z4{z^?*P5a~{mEXXo8XzQ+0Mjw6Kfm9*(>u;4TV?4<vaxFI(bMy$BRX3PXhES6~VT@
z%e3@#WnHzbFCvDJ<9~LuC=yvC5<7V$E_-p9#A)O=d|V`pm_z=?o>9D+E#=<-3whx*
z0KhIG&y~!PW7j_O#xYmNlAlndPCu1hj?2C5t<0|Gn|C<#xx&gvIJ>G?VfXxxjY>U}
zD(=@op4rU`8Y*}rK^N{u`f<!VX@l-Q?qv7-l$#Ct8+o$2`CWV-#w32}bvEEYBYXwr
z7pPah<NGoiIky1g$VwzBb4o_%woG^qgLVf%??(K@4T;S)aUr@P=i&|6Y)BGw?(h*G
zS5h+jtfIABGP^?+hpzS%GoGM(?KDo_h=VkY4uHXv<Ij0H(IsTAg_NK}=eKWh6pqSx
z=XD8Owc8;PD`&X@5yAUBy;Ts?Q#mIR*mOHi!Z^Z>lUNy)v5QGgaQ(zB*cuPS?V60d
zAoWo>P>`sMiMPa=u;O>(58@s1NAYLzSMhi8Pi~h(HqOB>+ecV>EXncxz%Gu0c#xgh
zwvfJ$N_b}1OOZ8UIZDF;N4U_@l^p$b90jM~T|q%@gs6BZ9*N(G--_RhOuQ@pB;FH$
z6aU}@<0obAt|E!dEauydGEeqS5H<-Sg3XozHJyAY8xyRs?Lm?0tSTT4N~4r~2{M|c
z1PMG5vMY9|bbmGDwU9|AW>k?HiOH(!L?Ra&n6L<!@FAQPdE~Eo`wSl^D5l82is}wd
z^T<K7AU+an+J51&ENBJ5umgtXEvvg#6|%1R;tF|r-gdoIQFq{$y}*H8t0;Nm9N1;e
z4W$KQYpZT~kOGn605RMC2@6uhQq?qxs|U6-;t|S-iB*OLa+qs_9texoLJh(>I>K_L
zT&60(Y8|iYQj0^oP}ibRIYlZA<Jd&8;f+nWYMr_c#F{%E#wsM|b%8!Iae=VZ$7zUs
zuAl%la*9hS<5rCpG?oX-&I`t?JdfOfAM+sFKWA423rw|a*)2Yn@ReaE)e~yV=Yw<v
zb=?!DBKQg%0Fw}uj#13xWK{OZc4d^L#>HdD1X-Ewq-MDH%{?vgeQA2r<x0iM6)f^|
z$ZOM8JpjW-oSJDVty~IlXl7?dg!s4Z7D6W%sE%Hm-k3RQH^~4EFA4Z3fI*pE4_Gux
z86XPAV0{i?V9zV=#maYq90(4mp;~lc+g=<EVI$ljeLx!EXPk+)?Xna=JR#Y0)X=W`
zX_&Zm)WNGc0sR+O5erD*MoxiiBTa8VAtjope(a7zil<E^O02otJeh|G^6OY?S;Xgt
z>r2fB0U1)>a;eG&amB8|7>)QxX+VREkSW>R3PSDE^aUkop@|32OVWJ2_bTA7ULroX
zD5VfK(Fjo($WWT>hjah>Ps?@_o=j4n%vmD}V2Znx8x|mF5`DejKRG$+C8tKjQ7=}b
zzR!>Q;M9E-UpkRr1t(m?F>@gCfI^_}y?E^#@N8ENy%{w`nW(u`sWEYk!A5d3%+&}J
z22jy4Y=9K<jmY+w?G6GmbnD!#5zEyHMaY@m)TfbQV^_$L2=GJjE(S5h{hAJ$GVU)^
zB(;X4&gbi5iL&LfqB_|fPoQu2@bE>l!OOV|ar!7tpn`_5yuy?qfN}(ijE0DT3Kg~q
zCxD96e489a%15G}LYLr}+s^C-4<+-+<stfe7Y&2r`9Su_F7W6$Lk+RZ1wNqSAiQMc
zO9Z@ei@`6S%C?{g;bJfuA{0<)X~?tNQ`BOf0~ykW^`cE_fl-i99OKLy({_nA3)(KQ
ze@A>E-cN0ZsOB_*=V%W4=#lu~AQjv6y@Pu7A%5=*mfH2^)8yA!_au;uE(To%g)*?>
zD-38-3O<xFJY_hDgZi~|)~9BOHFsx9VyDuYAKIRh4<uEFp!>qCta1k(1n|K_!;Bz6
zbBb0ffXiV63dGWllKwV%?Z5l;`eAklVUA%BiGvAR1D{AMMw_la)kunpI;mIXs4Biy
z4+1aUOp`!*$R0-`izM#v6i@7s>#sYPtBLV)G2>x!=|Abr#}EEeo%;B}d%fvt>G1CS
z+}vlMEM5`L;T@cq?TeaCkob_<R$0d8?IOhs((eZcufBnrT^4)5TlrstMRWs)x9Jko
zEf1z=X18mgt-MD*J^T^aE1#89O6|jPea-e>gJMMmy>j8id5+W$%DPh{hd=8U{RAVa
yhaqPqPvHB6Ck~Hr;xT@hulzuEuhw?w`Mz2<x&WvV?6)gE6}z%7(Bq|p-v0oM9v2S)

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/graph_data_demo.doctree b/docs/0.10.5/doctrees/graph_data_demo.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..d4c95af8ba0cf230a4a468170704647cdb0ace59
GIT binary patch
literal 26328
zcmeHQYm6k<Ro>U^Ja%XHVeb;hvvy^i*ga&X$Bx0q%dWArYdiMhVI3QLNn*OIyKi?@
zPjywN9`hhrF$ha*R45R)l?Q>q5Ap{o3LwHGNFfS8KmsHzgdh&c@FNHzAt4z>k%Gc^
z?yY-oRZUNK^>iEK;FVU>b?e@9&pG$J?(5X^Q!oEj^8o)Bp9s2^?QWONM#J?QEa=5E
z4X++`m>c$9>Mj3V@3~$np7qVGz>EAk>%|99qi)$w!)I>qS-f1J`l0Ov<pjWN*YwSn
zZ+0yO!J3Nw>eDvcGD6D^4A%=;&GR-4&ov&g!w*C?<AN22-QfJ%TFVZts8+6fowd5z
zwL{bKT(;&%HM{P)YoX8BTF12AH3=hF<6Tu6W@uI#tmBp4nq#{g_g5=DYZ?ezv%sG<
z8Sn-Ek|t})TA<f>d*ms$O~l5FgD~v9(BsSiDTC|9M?pWa&pI8?RunU>!|~CChwJeX
zV90vwQO%6!%rNxrS`>o!#OuR$BLH9H>AGVE0SfVZ$~8OU*Gwbo>W7+H-vDX6&Jije
zMnilQ)g#~T#aAcI?_Ly7hh~doVV$%Vt>aM*%sm>Kev4^Y0{fnP0|uK9wPk>T))E-D
zxCvQXC0SdQa<b~Vt3tMVruA+N{Oz*dZkbf|N~rgPs3+NGtwq+I)?M+O5~xP+%0WRa
zQ{7AOR??i>%vra@m)3qVV1BUn_%k1R-+gzlb$zcLtdZQ}SJQTwzXoXu)`XPoA=W+X
z)+>k5;bH5Xbr>8z5YJn7%X08PbWFFE7Vx87z$H`iSV0J>etg7*f<eZb9_jas@d=Vm
zaLw{rV0liX_lq;%6aPL=gnU4DZrx%%0%Q*IVV;J*W^4xZYe@IA+a2e8&^5`Z%yiKi
z^EX+Kx_Bnn#Zl2k!0Msxxw|MN4WA0_&`E1|e8VGTfsCtmmk~k6WtavbC1?A;Q~GUn
z(EkSU*Sclhx|Ota;LzHr-W1h2M`nTUHDNi2a>1%ubxCp>#tFbUCSk;1xC|k=nh1$e
zH(kSY0?%+fvtgKS!${=E;Fi!Ji3(U4l#M6tj_sJfvtxuFq?{Sxa%gx>BLh!LU$7!H
z0R}qgI(BH-E;ZZo3=D1;LgI$Od1KY!j3o&2x5P}c_pO4i9`Rqm5dM7e5r;DKk-kxm
zd}g#(o?*t8?KlQ`BhL0HV8nIq`@|S^6R|8yo{iQ>WBy5?@XMoPezq^>7aq3#AY3sV
z7XHigp9u^b!|sQi1jnxVrf)MiZ^jy|VZdAng4nj%={ihNG9D03*>3>FUmu;accdsA
zR|{|9hG!OmM~IMv`F%{!f%u5$Iy<}Gz$VQ@hnR0Vm73$#H&Qj?BOf-NJugRIJZQR)
zf`G5(Z4QD8A4(X)cfoH-#}dzw36IPcOsFv9(w=-3K>mcJG!H1#{0Q6b`e<r}9fw=q
zKSr}Zh-&eSTN80%FFt+=Vc~;5GuQDqMMPrW|5O>NuO`ys1#`)-U`PGzc70frxw+8a
zIX`FMAKsO_W@wdd7luD9-MM1iQ7+%H%wHz$$&g9oWSD``=+3e2I_rkUqg*f_@_o-2
z;P!4YM^Gx%m2uHnDwnek7g1LzeDIPSkGDJ>Sy6f|F9GqK?RKNEf*{r0TbyR>?oMcV
z?%ln#Nd4nbk&<$1eI4O$*kHcjdyyR6t3tA}K~gE6c556PgjfjM%^>Wtw1iU2-$%=o
zYlJ%<+q>SCvDXj4Uc25F+#T3rV45R6XyO3jH(LzaZ`X5vGqK@Hlg9_7hOT}5;DH0y
zVtbDM6plosU%E%KYy!Nx02p7EN-mVXWPK%DU}-Bb%(S)d07ZF`wEl80vu6EGO8naI
zCT<inYSurH?7*J2-^Dw$zPTsLe@zww#-Y(IQ&dy(63f)~Y`3JW$BMC34>r?LIUXx^
z15uIP+$rN>X?b}rF;@bbjEgvs<vC0mxI4Wl<F&FVDB)GNizdQImaqCO40o=Q!DN0Z
zfCsKL?0Ohnd>Bz5Tj9}|Sr0Eh<wp!XcFUq&NkChccI^9&ETtO|!o~Ij{lw_s_Y$MH
zuQ_X9EFw?RqP3S%dzVp5#4BgltnXU?{l8(zuA~jwwf6x*Zp%Wu&JdiLB6O=(Nvx|?
zgRdwUW)ylI6IDzH6N3f|F|9&8N7Dmg0ck2q?pDtx%EnW8Tdk_dUjf5h!K|S=CJGI^
z$ro8d+YFgeW8oHKt`VBG2vZO~O%VX0Dcr!8jR%_$aDYwF15$Mh0p=h~R&rQ0yrhB4
z>MRIMf5+JJ{0+i~&yEO|>`<6<(^v;;sB=wBWJKIrvM?*`!@Ja~Pv6&&#1;ur%0wgb
zn@%FXRJat+NIIo{9wD+dd@j{~4%WblXS++a1p<(Rv+)Dtj<CjN0<ik9ru|W1EbVYS
zpAjg@mRTia8XL}=7slevV+n62Ag~&*c#=?u@~e;peR?b|-C-0{!W0V%HyKLbi1P5;
zV^Mn9n1tz2J}I6Iygoe2dX{`}EF-?FsfaJNZd9$x7z7sEkK90-&s6c21v9N}y#Wmo
zexQUIK7U!Q@+c_W>9UJUyyg<X@ns@bx0^O=EK3g|BO1JKMlN5kLqr`SuoiY*#z$iH
zfEidB@e>Q2H4ewqs7u>0Bhl9K$4$eZ??)8=42`(iJSsS&VaBoq!$Gyu);){msl<dy
zysA}+>O41NvRuRF_`aG0TFA^Rd~Xw@GH}RrhjF3mLn%GeR|q7vr*;X5Mu1cNA7fE`
zV?SZjJ;eRr52Xn*rsY+VG9!yLd``i^Ls>x>ZOq;~iaKbkGE%cX^cFK7A50mKahJ@l
zL8X{<@n9U^foscxcskJt$!+zlXl|E?(TnZdN8z`HHTd>zss&%1{b^vb4{GvY8UUj$
z>U$^<?uwOoBiLYADa9V9gT2haaO@3=y6r$M2o$WXY5y@n`$a`bk^Kkh1JXPI(rQkA
z?Pe&S#QCD}F}}pM<VKwe->_XeZ<NdB6<x|2Ef!=->xk%E9u`2bn5nlbvsJK0YP*pa
z1$)&nH(R_zY|^%{i<@cPa=aQ~cg*dI+H0r;_RnN%(K>9>N5c-pt|>NzGLX`!?pZ0c
zv7IWLJ(tMh+ic47GRGz*rraK0fsF22$4RYC>vbEkSAtD7rCMo~x^@kKF0-KS+g;k;
zqm2>>YZr^cwA*02Qr&3lsajQHTdkfq@KD1H5-qqSQ)Qa)3C}2Nb8*hr=0&?}r)5Wr
zIW=`4Zq!YxhCx6KU5#Uxl2H9713-yz-}X5jp_b+*_7KpM(3%0X?x{lrg>;G9Vk!>h
z4h>Nm(f+pH-0Q;-g)LT~w89ZUT9LwN(S#ddgAfY}0bf%{4<1E%%&c4JLu#((*c=T|
zilO6np>34zgR3^p?Mp=^Ondzi+Ca2_Drd5@aU!NRDZ!P_Z&sD*Ub$}7a=;438iWB9
z>umh4p^BlqD^j^Ab%~;7sN-e2J5F6RIqLc<vhFTRUH{5Mse5NuO4E8RNj;kuV_iWb
z!s)&~7Tu+yR!H|67jH9^3paraN{Lf0Ue9>W^nI_f;XL@&v3PJtiU$grK893x8W(Od
zlmj<ZtGmpz6o3=CHyQy>^%uvYdbzL@(A~x(G#X0zxoUNQbCEo_Y0o+uEzXUvjm3?7
z_UFtr4)J~=4CT|!86C-bOv$AmNNGvBhQ^Qc=x@j3(IXS`&l;(CVjzcdaWQLe(@fIF
z<{fE^o35f!=6w9uvH1AV$b9S@gs8wdo)Ex3JS;ZT-$6?`O-={l@h50rJ3xH-{>`9)
z(E%Yv?L1x{78H^{)}dM^`V=#03fztmVtP=MXOMB=aCSW=8*oif6=!oD6$-`(J06Tp
zan7X(ND78hFi|yF9E*mZnDpRkg_t<#K71{v8b6y=4Yhg_KeLC$#)iFIO2Nr%xtc&{
zo0bABlw?cvj8;~Z%MNcGe8pvM34fSN<le%YpRYf^7eB7-WqLJ3aHa?AI1$c^N@_V<
zsF(-gvQ+V4qA;^`UmB6_>sh+h(%-cYVHGVmi{x`#74Opm#U&k<roB?Kb^$q|xig)S
zr&%+tRitb2B?K-zycTO=QoYHry4d1ti;iu1UW2wwuv_mLyke$3_Tq6Em=@4*wu_*5
z$f)kxqTt<Vfuz3V`bGvDsuB=QDW{gMAc)dqO@Ofa8G2ZM=@=*nDkKBEKQ;EdYjKg_
z@evvP3*+!OWoO5O10i@KXEU=72Ai=oj5;C__b;-t_n{n!y|oXAmE?9l^~+tyxq*_B
zB6Uc`p|s3atBKUfD0PZI>n^wj>5N6qW1wb260PxyCkb^ZpZ2-i_xxCVI}G(n5zHTl
zV!BYRrWITcD;-Zu7FIP#KDIB7h2xKoVL>z^@mOGr@FZ=k6i;-aMuqd_3uE!*rag_J
z?j{~kX(&BdQ%o6ENzSY))7@}t{%9;}&g7{PMq8P?c#jHws3;bW{SsRCo2gu@!wqMp
zn|m*DyrAhhj<;pIt&CqxElHm@KJ4*r2GhYhf@OAbo)V|?SA;iRF*?k2SBy>EbTDyS
z5XBp8YsJ`z{Ll;R;8}6ZfqP53g;Qe&v*Blb;~w0Za9cQIjur2F<?jaTGPgn4U|VCC
zvoGP+p>GN#47xJe!BIRP>o%(j8ce3=cUFwZwXu|rA2_e?0Y5|pe6<}_WoPG&mf7i;
z{2evID_)RLdGRBN1LzE3sflxO;WAzW2vtm12y_K5Po=ES8`-M--F{^56*MCMca2U8
zzdg1Ps$pY$Amt$5=2~%$=)uO2wC#PqXNoJ0w5<p8$2I>g*SJu8C*?a{+*=vbBRZ(w
zM~p%=K(7@ILC!CHcPtuaBn=vBtjqfFx0v<+#2(f^{`kW%upJN68`~w5h#3-X8M}Ei
z8YJe9CPavC`J^McU`}^z%RwFYTgsl_qARy+{An%3!D!fhXN?xFf-+r-x{bStRb`z6
zVHPn>SuTu7iZdfL0t3z*8ACL0$u%w{n$+X4RjZ*`4HCAy#=`2*`IMoH>8THwtW)Z+
z(L?f%`}jkS5uXq=6*BRt>~dj-s5|KGhiQ~>xdoT(xr{`$VoLQZS*4o5*{DyYyVhsB
z^!@s2OgQK|0q&Wl?!q_Zd9&miEuGXFaAs`rNpq8eDAMI0$CYRP+qjxQ=6BrB#)B&<
zrnfy}_+q<LnD4}CI$70LE%@oOUjxo+Z76>7{S0xZvExPJ=5N5Tvh5;V<5y#8t;fP^
zQ`|U^sPl{52q6O;@eud8>B<8AY~i-4x=;Itz}5_TPB7$Sio8*doP9pU7%*f%B9-Io
zZvo6CubX`ubnQB(RPegl%fypWubX|6cR1j>*_UqPw`m%zX+}=SN8cbF;a5~~s5()Z
z)eAUN%jgK!{pIe4BX5?KNm@#>{>7!FHdR@|Ju;VVRgxlc2Q709xl969%C(^;;>;^r
zq}r?7X)<(p>mjbBoZH&p=_d-KUK#sh5t&d|#y*SMyRVE15y=|u(q31_a)xK0*I#o`
zuKezV)$E`8@wT9vy;_8&;;Op7)%o|l!vSh`YR`+2ecogR<=g#;8C6hTFG7_Pl-E#u
zx1b0j-&8^QO2)+}UUn6(cr|gwtLCb7#oF&L!b(Y(O*Tik?8Gn)4hG1v4hRNLUrw$W
z;)Wx382BB!Bn0U9N)2rLy;I!rFVmmYZM}hUF?am8s}|hxBQ-<H@xT0N)7V0~4-<EF
z`K}CegNSdw@XMDl=dh^Kq@$WxrV3~SDEW=dH=8z&O{+@$-X>s*U|@y7V;{xIZR|t=
z@l-4-HJj>ofr*=kJ1TVeKZ>0ml>5Y>+^bkTO7QV@1Rrv6Fev*8K4kMG5dDh@Tg9h9
z*M5VKCx|Db1|RFZ!vR(i>!OereFL2yODU(XZjTSIs78@H*G@lDN41&lA~Y+T`7~<p
zwwZzjMQvtQ0QT!#vrw+QGGQ_LY(L%>bgrK&!qU8R?ePu=h|vk{TuFkI)a)wH3d!&F
zBV<$|`BD*zl#qN5wRa1NAn;8Ul2<c+<XaC?#x-mtP^u^_Yzg)2*vRTeyA0Uwhx6P-
zwh8`1<T4EOC3_zeM(J-Ur49W~ye$p|AfFeepRPP%RcFXeRig=O*?1;NRYl#BGf5iZ
zQopyUTokq`1bFq9ju{|*4DR`x83zYEF_oZPZm!5ZkV8gJCH}vVtHi(kO_JKh_BZHH
z;qXJ=?0RkDp6*){Hc{UOUHkQPuM<y3^>qKqI~-u5UXxOrnhz)Pi!@Y1M|jduF;AvI
zvOwmSRWf&^ew5|H^H=#z>D4Ya2kEGe%mO39OMT(FWv(Xq`%3aH-I>LdogOP3S=@l(
z&N+{HnR{v3ECH%)?)N{TN{e`;aq?&%Q5)5X%mc_!nNv>WI}o<rPDF^{o9aYf&p46$
z^(rLoPJ1<;Qd3P5gxAnc1LmHRJ0|iJs9D3fVAOE6?;|cRw(q4sBOAT%Ox);wZ^B0J
zseY1JFfMzdhydo}vUT3!0HgO#9hc?IiZU02s;H3@A$>pcMpd+S5jvHkJ&oGC6-|)+
zW-8j_Ge~o*5r|Vu4R8Ugd=)~kew>z0Lab4cogcjBL2C*F);#8Ls<iH4#*gH;$y!Ic
zNR3+iH;LJc?a$Mn!um#=8=q4xXpQ6X1yH-M`E(A>jRZ&Ul7xshEi7Lr;V8wM;;OF9
zhAJae;-_?%W#iG1=X638n@?w3k9=~)*|dB}1?e!#Ma=hxl~sFlI@e?Khhl8LtT;Ww
zQpe*rA;+{Dq{)oUtyzgq3zU}RIh=i$k~e4zk4sESKSc87RhfKwl_y`;U~k9`J0;59
ztsy+cb+R&poXQ&fu1wZ4vAXq0e51@<TCoZ92CLMApm&{i@ealdiNI7;BKG65L?mR7
zXOK9VW>3h2e+s+CBCmbZ$Ej|d<U*3lr%fk9CU%uY-d>Mqd2&dK277pbvLl|uwjUmj
ziEb)@y@AKM<T3IcJk5t*y+R4x=`FgOg2ehez4&y~^Fm5mo_cxZU_4LRuj#(<HXVCF
z((!nKE@XEpUjhkx0FXC}5+tSIC6z5Zv??-<JbFwTBzfi6<Ktr6r{b_p=Jc){isvlT
z3FYHde2Q(`VTDdZAge=CX)2y-uv*kYcMDslPqR+cz+A9{l37Hqbw)(>uEz^JHm)G+
zzDMi7y?8bXo2x&v8rb-~n0;A6o>0%PSXfs^8g%fPP_2i(_=HFvl!7wFq4eT&xi>iw
z?Ss>BB?|(s#zD4T%)ZDqj!zN|0T_iO=v{}WD4&<9cENEZ!i^8%^9S(_KC63v11T-&
zq#wG$<tOmrDAcA2GQknMf%yk(+S@(rXuLqV_mDGE7R85b2-SQe>U1kg@W5DJz|%jv
zNcjjbCwK|C>jpIZx~LnlsNq$RN*%RM((%B6LGp2sFlou9q#jl_ZA?+Ph@PN}_LQ^_
zgd|u_OND>}9S1SAfWWOMfX*k?DzxXwzcg@`exVb}+Y6V3u_0&;4EZs9Cqg|!L{E`c
zL2~G1B($JohrP!R{PTZJ#S2~5#inEOQ3fLCIF;0px4c5?5gYR8#@5zWS!ALWr*+uo
z8fpe>z4#2Z;HaQQC1f!B&^^i}&$_Gcx$}p>*#*B@&vip3x|>DWP3U>}fQ8M%ChvyM
z{-BFlWG{pkHA1U*WhOocne0@QdMflQB8mNr@yTEZUT3?a67nOpGQM5`aX%h(Or-Jr
zXav26HHvTG&*HIy^QX8j#94c;Zs8y(@-g~C-@s+gLbTq9x=7AXAKT!m?h`xkBBaNw
z(^)8O7*3O^2%=iH-bsdB84c*_4*Ief3jys+9h(dr6^0LLAhAmWpY-5goVXqzX6`0^
zo+3`NAwef0UN#Q1Lf|o5<==GR7@tB%5Eq=CB2mDmHhsk+KAkD0ixRvT(3<LjzNtXp
zx<K`5Dips<)&=Xn_BY@qW8o!MWpJ>{y+pf3J7wxzN&7aMnkCy!d|N8nZo;-yGO_8k
zKSR(`K^cW?JSc0wLT}PeE{bOf7fN-;KgVHRxXzJT=l!np?$$ZLb>4VAvX<zh6Zctn
zw;zPXv6}7o;}1W&+`dG==zK%_GX0`e;`T%Ii^8NRo==Ms=fiv*-#g)q1aCwMSqxcE
zFg#sC!p%z|dYzi*DCy*dH|7de?b!^(S=lRZbUFhc#@`Rg+nmY6O5T8duxI?D4;k)b
zb)3M4h(H+N)21)c1t65agi(H>_d#eRj?zKLArAqPnurdSS<4h3Q^j2Pj!AcpW6ShO
Rl(`03-o!{zu#0cT{13NlXvqKo

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/graphs.doctree b/docs/0.10.5/doctrees/graphs.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..c784de8ecddb1bec80489e3c0dc461f6a2e57493
GIT binary patch
literal 25584
zcmeHQTWlQHd6q2kwxTFmw%jze;;~el6vJJvC|_i{zD2%97OnUaIbqrL?9MD_ma{wS
znOTu^lSXM^!~!Ns9dC>jZ5~>nKrboMT>Q|7q)E}_p+JGcO<s!DKwQUdS_Cbc=Am!>
z{&SlP_cBAumTTCEmb)|O@}K|y|L2@P7e~JIliDu!UwFW8TXt)sq#H)dHB7%7jvH>R
z(==N__oeRfPj^4roe3vAecg9EUd`-=yU?O$*^c3vt?mk5PEq^7cKnhUU^LLZRWs^t
zjf9h>l2-A|w(AA{V%Hj5>4pV82t2#m2{0$kvBx%ij2Dj89NqWv5Z^~ydXs+}H#+U;
zM^&$_d1jrr!57;=KQVl_6OIM?DmCs}g>bK9x6JOD-Qj3k2gE_w+7nJx)DrP)RIcpy
z`KNr-^XJc=|M<ckC+FLq+wkWNJ<##3Zabzok8b`vZ$7{3>21p|d4ACCRIQ0{%r|R+
z?Y0!wtPyLJRyu>1BY_<_X6#is`Vi~SaDfJUpENfJW9s?yU50uLQnWPdgVv4K9_#3m
zb;DAps#^zvFze7t*SZ$}uEW3g;otjLx*h8S)^RkynK!qNSvQ>73+Qg*bc`UHl@G!L
z3=ZvMpssd5*2)1YZ+#vCbT4MOJ0C!I#sC^)=$ZgIbcVw?R=o43R?}Nr+i?TUcblf>
z)-?i+$e`)I=9_xe^;()``+<w@P1e*eX&*8jcU@bz9Y-_FrrYuZPY+DZ!o$GT3>Twm
zddtv2%L}$)YUYOCY&)i3k_)~PQ%5*G2b?Zt$LXWiQAXSebYr*$PR}Zue&k8Z)atGS
zjM%MJjv)=)uhlvp$$+z|=@)d{(W{P0*jabIHO;U+Ffd-N+kvHR64E8#3z4<T;af0r
zgoEF}Vtze84)(=xFcI#nI&N*P@@&Tq;_}8t5rVd_+Ho8+s5oGt80STzIzewLc3?JR
zufrI_&9tB$J-epWT&L4)`I_5uHji^QQZ%qONc4fR;T<CcY+xnN<wwANbh|K2Er6!h
zv*41B;*#r{w(k>vT+p44>1$0L`go&|T1a@fXEP}^ecncEdI|Hsn14-E==QmcYcl)l
z!*G;SyBqGFWy;YNaziL{h7I39BcZss;*E*eG}kvi^oyTVGE987XqU|GBh0;m>A#sD
za|b2VgZ2J(=Pf<Z)=jNtng%HWyGhnr(zV~~2)rL)p1;Ws9+{=@@#ai(UBj%veg}f)
z=}v`7ZCv1{>z><WYF}!hk}&WBQjHl8Ujm%DeYAp6fb_#bOb||NG@V7it&`s~-u6tm
z2N&>lr0$X{bSWHn^ww%eU&XW0_GVzg`iE1Ny=po57gXQ|k#9p*`BlMq*Ge=b6!wdx
zu$#Kw((0WS^CEmLAo|$8*6}%gm`PM-&u97^9XJ+B+UzV$IJbYg16#+*ieaCLdoara
zhbzx$p80GCDxVxZB7fD?Y#2=)%F&pe<v!XB^w)=W4q8{C{IZM&4E{9EcTno1u=Z|i
zHO@avmlq+D%|3kjupFTU#z(XMC%&e^F5Z6=3cx_+aQ9*~3jIjqroU<=rj%a9`_PTa
zCdT{+Wgm{U?Y86zZMr8HO-r<7YOC0Q*4x;>d)KZ(!e_m1{fqU+CF>`M2;k1SaG$Mz
zO$yWdBe<i5hS#k_a*FF_kwl;vxJ9Aabm=Yg7Cm&I9`~bv6@$m!R#I34{OFl;a9IN~
zr%Z9_+7p4-sRbR+G|q|eL1U4PL|OI@3U7^B;0&mnp+9*7g2qj%2UET`B(%?Oo+pp5
zKg4hlJez#QIl>va=YHF)*>$*zq@$!8gm>$@QYNIX0@Ik|PB*#pfn_$qPtY}y7E|8$
z6@?)}@F|Yq+Z4L8L|jsgZUkv0q7#yIr%=*_lS;Js8EM((1P&`K!d1WQmf;J(vK;Pc
z47ETedG}*=*(6UIwY1<JORiLTz2Q+<3*Th6iSY(#uDAytrm45MWr6C-(p16S_$VjL
zliMQ9bQ0V(sp7cPZ?%)ZXJS6`W3#i8NVBtAv9D08MRKzZg%!Y>lMy$0=qiMR3%|lw
zqe1IoIf9={Ai~M`oKjoB``|f<NZ&JBy15Vn!_jci1Ke2-PhXDpC<<Mk;RJkf<rZmn
zslVe|TFM^W%Z9~PHrRAR(KSqtfhZE{&dv%Y#)v%gSep_#x^r9uJ8KjVQX1lsR&bg{
ze46WN4?3<cf6g+ooh9Wc6(CoTb`9>-CX2sI+9P$LHf_?1&+rK=B;(JJPHjO$!Uq!_
zO+#qLh*f@vD4k-JeKEi#r@&gWur$ReU!v}rZ3Z#Q7de{B;Ylz`UYta;Z?C(UKMpbc
zym7PHwshb2<DTA_z`sO*NE#~6WODMSd6wV!V`?44Krt6>V{6aZvG=MEu;d}qr*#wA
z8w4IQFN?(L{sbdQ6zq#}R|E}1#9!q?#J5w3INY066|TcR4SFmrn_SPL=jQ>$AbUlw
zY)`rViWCnfX4{i(2&lPX`rDIkrWksQcVSDS<@esf&@#rFu_7aNAO&m&&U-Tt=UJqI
zUT1`dsk%ZMh~|%LpvIrzfwI#RvywOD;>W~;l*s*WYM6l*O6nf9_M9pt62+Vy1-=vO
z{Z4$nQ&QD%u9l0Q6uO2zO|5+Lsw4sjuUse_wemi?BwAsg20d1iP1$@9Jzv9;vn!ka
z<63`aeU%iG%s7&RQq3?nl8!2fkQ+X+yyN5d8HUZh6K7M!V=Uvt5=7*1_DtAfKfvo5
z<0*&ytr%L-s&NOgg4Vb_4@am3MJa}qL}YbaJhBq&uJC+zh3B(lL6*KTr!iBif~xIy
zSIc51^#QDD5X(fFjDGP{Ik`UN^koW?#70BDc<MYS$5Y!P$1O>4-$C)z8m%YgB<G5!
z+PM%yMyiP(@8o!j;EOBu{wgb;61)v7v)Rf9>TKqB)j0;Dc<S!iS$!kzZk^QwN|8Nk
zSGD`#P*Kh~(pYTkiS0bvtu2wyi?o6iQAha{(g<CpZ=_7m%c*4#UIr2JCBBSucq$q1
z<N#dhg&m9`Ajwa%+tKq2Yz>3gO0M!2lHE5u%T!~UY7_vo7Zd@LanXr(u}Igz>5G<G
z+Um~Uv%?V?Y2z;Egc?v%U7V^=SZCV!+qnt<my+<eB?+H(?GfjN+Z_QUAt>?_{S<n>
zl8fm5<v;DRkPfJ27`vCt63r6MkeE|uyhxexqF%&ijmV74q*jq<#-j|q>Lau1Tl<J?
z`oNq$<+%ss?B_`#v79|}+VI_NoDAvcPTx$A<h$Jc6o)o`K~&ZnKTi>Ru*8z@_+P3A
z%i#YSRu;JlOCp2MUGZt3R-m#}@)(Em7Ny#?J!}F}!YQyX;G~Q^Q4<}BIhPpr^^3o|
z<AEbY?AgN*v77#6PD{yb-`z2UB>cfr+#dusqHOyN#|`!)pup08VBT(O8BF6Gz#4Yu
z|J|EhPej-(PTjWrzZ*IFZ`c<4?@xl8!~eTOrVW^#AqCqvs~WR0#IRiU6lNN?667hT
zpb(8NMRk;uJyOw(VvD(!P0qpX=)t_adDw_ta4TL3b9WW<#^oc@tAn!P52EKu2Jv9U
zLasoWuPpN39wOHY886!JNTq!Txk5^R^mF5u3F#?{jmx<tz4p@7DQZ1K9W(0)qSgvu
zQ#rh6r)!9)x8tD%T=A7;qvk{C`7ySlZBX;w<Jf&RHyeCLvcY!UvWWWI9RZ{xDDo5i
zVf6e|E~58mrnF;6>Y<onY;x=(zhlc8xNRhisyGrw=bm{ss<kOLzNL$@lU&r$p%pP3
z-y(`=jc=p~Gg!K$?{OxEl!WhbGVOaL^HBp6QQPXP7Q}4YcZU#kcoynxa%IZazI9os
zS2-d6ep`h2ND|x}UdXBV4!f}D(Q%#Au5(VF*csx4yh(tkOj@pV(|_bzIhnS9Ll5SN
z%;f@H@k*GlpO`Vf{(1sE-(au~7AtZ=e$3YtxgeK0fi$^yE18BSkgldqxx9`k^kAg9
z;t3>zBo2Fj(-6=3Jqc12*c!G$vU^o_W~<AUDS?!7@WU&WKRT7d-C$ghNZumpzFj9F
z63*?8AfU)k^QX|WoQvlDc`5B?kP3J$g9_;7W<;}u^D2L&w~A4g244dn+!bA~Sf}$i
zBG!x2NUAGNA;uFtsw*W)l3imrsnRDvDd#dEn>7A_xKbozndpHcaHCD!r8Qc)n2hp2
zYpMs!|2#bymcqj-n<Jr#KZ@Y_G>7L?YV<4z9toaLs2&WSWxz8L9x&P67+kzEdS9@K
z9j)`9M8qhsVa4xk@%t38ymZnu(ASW2?tku%UFkx4AeO$8nQC>EN;sK*Y0Hrd@9l>{
zlH*ED9g+RZoa`?vB4#1G^nh1D{x72Epq!UHlk){N1F^}#%ZoVO1?~wp+jN@(mjkPI
zjjmPD_0Em1HHt(2ojQFDcbDi&MdNdP4Jk%k0VAq2>`(s_cHH^#@5EISx=CoX3mLDN
z6bc1){qQbrdHKYgHmy(3X(vkMmAQf@{##za<0>96losNTPvUV6k586vjXz#;TR2NS
zZO}Mn475^^iE!;Mz*UNTQR#@z5CF#ug=5G)L2B4FN0!FL0mE1djie!dG7-yEX&GOe
zp}bYy#*I~WC>z&o<>Bq)r9$0a#pLl2ChDm|m*do|M3<gsQozt1xM)8wEqZfWxm4iV
z+2@CxG1qc=CEKj>K(y!@2SP~Gdvt!c(^;u57VEw;MEeYnbt^Fw#!T0U-K2Y5v7?nA
z$DMWdaB)$q;AT`{*XG%8e_n}3MO^f&luPZ_D$@sxx)UsF4>B=(SXyCC_y*b|G>fo9
z{cdrGdoV;dJTh>MZn&r8+1>EwY@p%3J<O?LLyxfg_SRP$KLiqeQl#JSrAVQw8$ZAc
zb=++^4?0ey(D8(cBk_i|BYb>d@F3X{!hq{GeuUM1vI|7KF%%J>k0AmKh=@Pt$lROB
ziQw8=qf6?JdBJpK%FEm8mE5z#0i}zv<8hSGHU1L_fW-Wa{$!4crN8hTdj1qWv-k^d
zsu_m*3yr@(+s4=F;~Ug#wDC>){w;ijBal~IW<7INe@EfDgrjgiaunK-6BthXuWb~1
z_z2Qg`|={H+QRD5xaXbK$f0N(r6+Kg-1KM2vw#<Ia%E04$OpO$JKo3Reu0{0W?Cqn
z>F9l_(<aG|+=O%F69?kFMnT_5*>>3C*w(0A5wq#2+`-%fvhr*Mn0(w~lU_9o#&9E5
zsX$@F^^FpGR(NB02a%&7ZS;F6MhTI(2*pZLnRy%^87yqW&EqE$<}qmq^gM=OA!P_6
z3vim>rFo1T$E0=4W*(1a7%IC>U~tB4!c9QoK;sxoP!yCb_}wV?kbIg<E2N`&ik=5#
z77m{kl^Q<ED>Yyn7L^*Ln(y;gu|(q*tOfL3pg)<FH^un#st1elQRk*H&=Rg@GF+KM
zdcF5a=B);^{`Sl(5&m{f7g6vLPQiy1J@SO>FN2b&(KCzry;se!6Z0E0x+xZVIbn3a
z8yQ`SZ>1U9ZgdV~dOwDF5LJQ98Rm;GFN;u{BJENcG53l2h53c@!ii}ak1r!e=Zz4g
zqe1in2ARL$Js0M0rJm)efq2V<cyv9fT8P0##CzBBG!l;Hs_6lYY1no8!?KR_h3s}<
zH%&P%xBhOmfpb}f$inB&43P03a1#J|0|8#I*gv^-nLbM2%eucu%Xa}SmBwLigg!)R
z40j{G95W*6cyg`38<F5X!F+uq?Vh$V<xz0WJtW>fmSH66P@G6b-NPY{`4+zgyvBWt
zq>iM(d!Us?4XzA{a~5ynOhnB>AVki)F614jLj|;=@Y7a%dhT-1AT8(PI~$mtKurN3
zofT_bBIBhsKC5h49xM4Z^!&^ahKF5a7alIE8FpeN8)FzI5uqj-;mp?(#`4c2W0^TZ
zEeVrasdiAX(ez}*8YP(Fg`X3L9WF=oDorLgjkh3}rE7tAsfe{-aN850KG7`F!PpqW
zU3pzy&2M&`z(zGcY0`QJya^#i#4Y`emA5D;V|k+T)9(>Zq#^#_5H4v3|6qt#7;Xl?
zKEMn<o7D_TU7pnt_KmMI8N->g$&j=EXd(}Na-c=*4SdWdeg{Y%XcJ@cwyZf=<QF}Q
zO&$(Mp|@-x44kNJh}e8^6pr{dHp{rkvc+Ti__O3#iBeJ6oR1B3fNiQ3siJ0)!kk!+
zfWP9!HpQ#du<=T+D4ZG%I}?ub&AP62#FS^jqlcj?hij%*jXJU{3BW@7z2PsL8*~FC
zsxDzvs+(+&4wdT~uaTvj^uu53*$QQMkw8C!264zFFmhg1VAncE26T5gCCZRiMB&|~
za8f>D#d?>*ao=S3a!`%<YE@kryS0d-S}659%JU%6X3g=XaAMVLp^{+WdR_dWpb9DA
zW*a~D@o8`%p|yse1@W`vIrz0daBCGRCrocK-3ZFzd7ItvP~CL{)MPPZFHuBzKNb1K
zE_G!C*QuLSR(J~WoZYU}+$L4h^D*SF@F%9jYU}wGDhOGTMU63|=pd>bWAQvkTw&V+
zNLhyk3;RFv=SX<9xnT!Px;lRJbi^>LomEUXwXS<D+^#|k&(xcEGJ(>!HIo+AeIcB(
zTkTFzLERA7K&x&z(Fy9sQ$^p#_v@1{E2ihUUd2KJ9H~m+nLw>!E9!vT36i6Xuu-r{
zm3osJqA@;-Z2S}-H-bU-zCQUP)j2#!Yw&?63n+3}6~_It;vz6^;Gn=&C_)`xgUYq8
zXH*Qc4gSD1NT>r3xckvU8k#U-8<prF!Ia(!+)DH)yo%~a?>9Qlc11BB5X&A=<nEys
z5Dj>MJpp!GK9N6q)b`De;Z{&B60HtGR$Sji&5@`l;}S^O1>3hdiyo*LwogUXun+;|
zm=p->SU8Er__&&eT}Kp^1lNdWNU)=5G1bPtj=o_M)TE>~pfHVQfaLp7ty}#Bi(XAq
z1<q-$f)O3NX$Rd8@A~mCM#8DK*^UICmNQ9Dsyd)2@j&s~AZYuG^YiQL>m^>`vgCTJ
z^M-k09xeU(Zg`k_Fi_B=f~vV76e{ncT&CGB-c-H?n4R+KwbV59B%0=WIZfcYC?js0
zL7h!w1x*K2OayurQe*^H_sn>B1U%WSDDhNPaVoq{=cVwVzlrKw8`$3vbvU~y0#4N-
z!%4r1V2IZS_JOEt*l$)U7?S0pS`$a@5el008py}x4OnI<MDMju8+AXa<T*RkDD=Q3
zaF1KFTXpb&R1AkmRX{N&+Z{BURUD4;gH6n3nW&O}DLh=m;kC7ji2|Tb1$EeQDUa%(
zzYy**TNk>B2g7l$A|R7sFFFE8rJ5_e%sOL+t1%JSB|sf^umbMnQr*$;P~s^s(1FJo
zt*(BI()k)xUMEG4ZOuvD569>we>TG{z>&s3!w@w7kv@JzAFtBKQA8w-8|dR_xSZJd
zclxks3(lmEzoRC9OCNLeahyKBPal7ck4`v2lh8&NtNzZWd4bKc#AaAxqc5?Mm)NLF
zY{Vrt+7cUSsbd|YLg+`Vn;B^MLvUGlGN7#QafqlQABTvpGH{622tWoAogQKkv1E5A
z+#hEwhQ$3foA&;JR$z)hA^joSarDQZ@OF?;Fk-WcjkZM7Yf}$Z>xo3O2{|hp|4?Fl
zvA4N9Je(d&yxA2NpxtV2hcr+(q-szO7zS&Ag&R99p1%Z|Ki_>E@`+OHka$$u_i;FZ
zCZv+}Q~st8ah8uGV=KzqThaZ1#Rt@}KOT}XIJozvQDHMEXQ(o#cw$jIx^PsR5x=zs
zRf*&797DW*@%I;Azxb8JFiDr)fz`>r)$u6Ya~nMdCCI}OVV-w~d-)Nyy^kzC_!!wp
z_;sks1)VMauLkx~`g@fi*m6n|d(I6DZ{(p0ahBj6jL8>rWAgdDm~8wudJMti*35_*
z9#V!_@+h(HK>P}Pm&4-2&^#Xbd^llB|7R82QL$5hlxi*$&nm-$QhZ77`lBH$BrlhE
x>JNvs+rm@*FtJ;56gV{8r<Tpk!9KfHb2<j>ySqwmLBSwjNVp9o1D$H={{TgC8$$p9

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/index.doctree b/docs/0.10.5/doctrees/index.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..3e88752111de14c7d6ceb074ba86c2bd4d308feb
GIT binary patch
literal 64408
zcmeHw3z!^Nb*5}RW;A+OR*a3Yjf?R^BQeu6dRemYOO|9=mNZf%*@!4gtERhVx=a0{
zt6HNmc;h88887AVaOXinvdexXhOkLUAlYOIA<O2=Lc&5qLI@-wyaM4(An^*rCj0;A
z*5g+7W4cCdVs_=vy3=**o?GYs_uO;OeVzO0@}GL*J4@t0?+T|@C|1sA%zVC5&09{>
z8_ZX8jj~m7n@=`3{`=-5%@J>9-JEr*je5>%dP|TZS16Y9b*s`mjhAbg-Yu4#jGw^@
z*R0Q25qV*`w?30GvU^R}G>+D*)5Vfi-_<M(oNjtUrt8*=Qw<ki=9iWh^A2+L2683S
zaS(~$%PVGC{Tj?SYSF`#nLAszrd1mJDCV2qnmj%-R`Wm7Y<L5%IYW|WVaQunDpsuK
z!OOfAH51&s&B9V|Wi~7>o>l~<ylwnJ$ErKyhhO?bTW;Svjtp&QoOuUXkAut^SINhV
zmArL6Q+M2EW2&&y8*r?gTdY<>01L|tD_GnSyj<=U-IArf@@|d+W4zLMX~A?iI7YEz
z%mH+RpS@e)0{OBN)_Fqf-P(@oGmpM8N%vS&>JTi96^z1*3oj}xEeuZ<Zk%jPnT2)0
zys-Xsvv3vuU5$Uw$G;bxZZ--pENn#bTUGMHO@$i|E=SpJQ34T_XHyX24IFLMYgGq8
zqo9R}=s9BG9^`meItE^%F)%3Lu0-9LGj+38&@nuBqF@<BB#<wo=opZ;Ik!-)7^UJ=
z-K@_UkniG5#mXCQ)hL^1ErHfBD`siVDLSJ@xmqc@)q1fqgUGzGX_I4BoT6Ji=cmkD
zuBzEhn+(fz<}y;)5tR1Cv+@0A2;H-kKk8#ruMf!A3dgNiD>FK_*LTAqsP5-?f+{Km
z+JI4bnf|@*0{Bw0hdQ6|R`_T~cmy%Y5?EbD`cPq5M0p5gB3a1&a3H}aS6;Sc$)T#5
zXZ3H|L}5ZT&lcSR1j#{U$ue@)av72_YPb-$K&s4!TP>SzF=v)abH;SFjt9rM)hHn^
z$Dp=jn}o=jBBA%yp^h^6f)Z6^jL$GXelebNF%K<OoGu~*CU9~EtBfR$i?2EOAVii4
zTqdBvmaBE-tSbh`$e9%qSBxpkXgH94sFi$mwt{-L%(7wDY9(+^b>$e<x>2`k)w=6M
zl06te5>=!Z#R15=UZaJR0i51ofMFma%g9)ii-^N3bmE1@p)TU^L(g8VMC^Ib=2yDF
zwk9SR0d^}xVTm{t0Dp2Z0KVZlC~r~QelBvCtgznn%<8s!<{Idk6MlOS?IEfbv|?Y~
zz@T!ehOGRIWz_1{m|HhtyX4V>Sv8|%ne_@^mtnD$Mpd(hezB&fi@72+0@RSNI_6qB
zF({i6v~x(=fdiX1ZOj-4rj1;~feI@=ENXx~XT`Ge7Svpkb_jbq_Lwjc@nSYoIf$cL
zvd&W(fgPPuVT}r<Sb-tsLidrhR;*bx!l)%xK6B7Gx#|r1U1*?4>)78rfT9NFeJ{TX
z(RfO4yPD=)pX_iqZ3^_j+ITk`@h-~X9eRcfYtyGhn=Ti5h;s7$h%O8c_|g+_wG^@x
zWgx8lkHxU^`US;N4BYRfKt^imwF@%$y>2TB3F=KJt!<~1yd!LHQ<mczFt6Rajs2EV
zKrl7xF7!^d0-fT*WTsU;jh4(-41)o>13JhUIkWG)S+2oC+H?G&Gue%5bVtMZ?u*Pg
z603{P3MKy=T`XbluEe;}!dMU^+hDYd;p*CWaRM=4r4>@+D;AA!d_n(4=T_(~lX0mR
zBllK-p+>#f^xT5$)|_4A;~0BqW?+RjreMC+bJdCq4WB`GF`hGPMb|7<E7mwot6=Ce
zUPfOLAFN_{?W*zXc+NRDj?sJ;<05OWR&}#wvwl81V^uSFBLly`Cr;jA-Eyj>b5<S$
zX3-OuqgJEVz^5dhy$RqtkOju~N^ec6=vsBNl$|P7b7!?mIQjGFCW~cSqlWEND?`)u
zYFP$sHGgz(_-~cn9F%@&C=V=*JH-qh8RiH&OB<ZU8{TN#WbB5yKDJjzaxl_q-R`2)
zjvBikI(B5#IBM2k-mu(J<ALKxCPxhpw})yN61pSIHzPs8GV>$bH%e}~oaH!bAek?s
zFJtF>u4tl}po(hfQK!%<j>0-OoyhzjLY6WQ0zL!AC4XkQ$1LR<CDXNx<C>wrkB0u7
zaV+XBVf?$fAz1Nw6W_=x%N-f|S!Yzli29SQ*2KoY^A*F@hFfd6Sv61@-ZhMF+jZxL
zAKB=alW1r1jdINaZ7g#b1eoclxOZ;bxY2JEm#XPGUQJ<>Ww&e(qEU65`0-YrFPC;X
zHIq|)gOCiUoOAfO9MXcQ$GyRlS(#~=Gl*MJli8J~x3*B6DU|Tf&0^+{6M2|FvRB|!
z{&;)6*5t$Sws-4^Dy>6ku#(u3(+&K<m(L=1Lt1-nu2xiC33`%VlZOSiZzKnXeFOjW
zJna?C5!@K@Y!4uZa9n#mjM$KG>YkthpDLFy^QC6Lx+e-*lsb7aa_?3r_SHyWbJSoz
zAHn1HwFogoiV=GiGl}+fcx-|EMG^ba6o>aw82dEY4<CZr{qhF%6(@Spr`Ii5_*Kj-
z)QdUS7;((GQBFQ$rl7LHHD=9<%Mn0WTbLHB)~8F=*^Me0CmDj5m@Fw3%Vnz`)Mdt?
z4UmX5@<oSgOU-QLt!cASa*eoki_wlh-)4-r87&wiCFW2MRFU_wMU)N(<#WG$p}g34
zqOKv*FX5lmB7I9+nOJ|oZ-cE(uHCDMmxGFz1B>EiL&QtGc|E^V^9q_)=L8{Z(yU$z
zzWUy*I4K?&FOep@8-mByQZO-7>@;R(U~UByYSZX4VGK+)W=0Jd$fjc%)f%Sb&|=OM
z9j9TP$wtH8+ZLCRW|u8C2ME<nq9O~Q4|U#Pz-mwl%Y}9AyM6?+sU@;m&;qv4lj4GR
zM_}<PYqzV3E1!49F{dz|D^$7cz$FV<uBsHz_%`ch8I46e1n;$`)0@%CwUgF*-~CV#
z%LAfOcfoGob!PX`19#xxU1z8*t@E`KCS=9x3#~ki5n=C^i<N4rI-@Nh3`JRKEbFo0
z-Ah1QSmLdQEOEv<dmapE=CgN2f+JOPnBXr~WEm_P?$~c+wyNJ+3htxtOFR07#7E=x
zIpQsoFMCTJ7wc~W2*=2Yl~_))Y0jevKZ8HrTBQttu(k%1Lsr$AGDOQ`g1uO2+HVE5
zH-P-zxf(2xrTmh&3L&w^+?U&&m)EnHAj40N?)=3_Zz%>#Vwe0B8Byy1<36S`zQH7X
zhdPr<hghwJn#LRHNYzr)t@YQN?19Tb_96mrpysc)nZe?n9;L10-3)Sl9goXsUDolg
z;p(GWJ)?0G2(G^XIpKADA7Wzvg{tb0@Q>Eg;)0Wq4=y*_9}X#GnPw|E4VCQ4?Ra@W
z)-tfBK`lyC26L7EGR!EHEC*-7@JAIP4|4{Zn2UcLIYWpzQ5h|u$g&B{Tt6Kwp(zZH
zq(wI{)Tx)|n4bAMmMew~8Z@n?;h9o($}DMF4Rf~hjEc_k3(lEQW42Jt6@pI(`CtO~
zoK;fXa@htJS&(b4T56Ol<Mk?LSR_%zs>+|N__-S+mMNK&L=~5FtY@vcv2$jrfr;6Q
zTc6t)^)A2k+=1^ikG`n|z|TDT3xqIIKi-?4I}CTIZ}upk3Z+&pt7BT}3R&dGki6~W
zQcOmI9(A=I8(|<S_{)hebZtrY7nxeIC5jDG8!5#QwbMlqTkGjq>Msm;$zKG$9kBM7
zP_ob_S$#%p3jvBU`J>uL0>gi~C=5q>Zfv0%MAy)B18o(eNYe-EUEiA#3{tmiN>f*s
z-WZ2mYKBMFS}-Vc>y4b-fU46q<dlU$TsXu|Nfj2=zV>nvxoh~RXN?~eVn?hHvC+Uu
zYvqz9e$!L6I=stx#gKvjh8>x3cCuX5Ml5FNM%4=?TG?E+QE_80pjA7>7EC8w!SqA6
z&LuDqVQgy#`H`&H<$a@4#EfB<$=Z=)&yuXLs}!wVadI+Cdj_B7_`5RWmjkoXRho9m
z_*}JKw=h45ehrhipg4~dC9J`nk^n%QK0RuTY})9<Q7CR{mrja^lq!`!X_!@e43Hsv
z#8W;$DtF0v=#kN(;i%yu;VH>LRf<%Mk3VO(6RgW?A#PLN=p}~rR;e8+_9<91*q?))
z7I-~Xt(Fw`LRzh(zivn63kqHdJ}8r4Xd%-&*g&)x&;NW8%R0q}S&~q~)LXn4k!h*X
z_-mHb(Y}oe)jltuk!&PgR%~9R?tp$&Tp<jh<m4~s>R{neEZSzE>N2SCkVy<hko**R
z7*%4QWUp*ez`CVy8fB!=+Dw!?R)_FPfL8*SC_)*gmq`xVQp?M%IfaQXY!S@nEzGR@
z1#F+bV^-(PI=+)5GwmobY(eIoUY@mPvD(F2Y)5;xQFp7@Ki1)OrBTj4Y}KoL-%f<e
z*@`uTQk@eqX-xqe*R5j18zGKbS%~mdv7(e(C}eD>ag;?^n2`Gk!gNxWM9N3vgu^dy
zVCs)MnA(0EU-BUl9T4!8%;a1(XHFplk%C;o)Z3r1W}chLYDPGc#^k>pqe=&frdUAu
z+foObBtj#u7KANdv3G9Zf##=7g6Vd`5qt<LE9`q>g=?*?;TeolvRK^0Iw00%+UMKA
zrp4k}%bY4=0j*OaV4A}Wg(!qp(b<5ezoCsxvg{ks=sUl&OcJ&!u8^Xsb$N@H*6poy
z>Y{Nwe;$hrkmc%h)~eU5-M)n(A9e+EbvG-cso=w1rPVEBBTi2u7_6ZA-FBF(CjY97
zfOZZx*=5TX=h$1@)3EG#Ml&c@*^7l;d7?q8R7&AWnlNFaCHwi6QCC5BQPPN2`Sr+9
zuyAq7;JRdRMG`lxX)g%TC4=jd!4+x_=^=gX(xxXEzGQG+GPo!s>c3EvTr#*?2LXiW
zlEKx3&Hw+D!4=M)$rSG`m^$mWF4le%NU#N`{T`6pV-su9Qi}IhOb!`)8kk0sz2e*v
zqD?B{XcQ-vj7AOJoyCO(j6ZSu1-n3}r?Fog`z4Clse|(*oN~Zg5f-xz?pLe(BpE{v
z&&kmfEQBL1=IF4O+`tw%9>L-qq-=EOhcUBeRk)7>%i<i`V-JYzH91jlSZe74dw;%v
z7!GUo`-o?V$@WFf+&<n(z$TK@&lRJ=6GscqK&K}R0k`i{lhAt?Rg~AniV~lMzISQ*
zNocEFbLX;LX%C0};ndD>>M7r{g`-__!9=7ox3E(bE${HXtuwM}sISeCz;=&@|HEkX
zm@<eajiOiVh=yk|k*bEvAX{jv0#%9vVoIlH3Y-yjG1<&rvkMT0rlvlg_L;9?Cp2d}
z)pS<RB@pD21LXzE(3YmRQYg~4<>)fYpoZjX6gJ#pdV09qoSJ$W%3YT_l*$e#1pOIe
zZTu&)5X^sd%V)vj3_ap6(Ve{1nq-ZKW?)K5Y(vqT9FnlD6kcjgRC&htV`~cgJux4T
zJqzaJ6R|E)GapBiy}Kdj@jI_8_f8O&%Fe6ad}>j>`LD)UkN4)+BS%cjV%dfMF3`tG
zzbrAq@`#GjCcm<gn+g!fJZh*cv6TTGYNb(aI9-!*k%OPaD%MQh(iWnE^=(YKLucc}
zO9jm`=<9t}qEBGoG^}%Y%+ROxhwlg(%x=Cb-raXvhjp+dp>ZJ%fo%buGkRB^DG!S3
z+Z&Zy#;n)PIi*VcPFer*7JhjW?2n2~qT|;a*NRqJq*frwHtOPs7h3U>1VL3wU1|L=
z*v9|EUHYq_pSmO`A`-)w<OEV3vwf5}CH5E9o&^p3>oGOfZP(`2#~U>smBYw-FE>Hn
zr@T-E+oC$Xj@0dAO5OfgDs{^}n~#PRvS;%H*oL&yTQ!C41eS~O4}9W8JB`s*`Cf2V
z@=X>;|H|5H@21@qI%&c25xmKZ>kMN=&gPxq0X-ad%lL;q!fm1U&++?e^Kwt*QIUnx
zu-_CGpck(=!KS4@LD7E}l-=fRcna#LnY&>>8GeK)!K;b=Gl&WIvaRA_L!&xn<NTni
zv#5Z-K~hz~ShA=flESdx8Ga*8K|ToXejSwkDagv*=jv6dxMVTj9~DDO6cs|=8}=VB
zsu2GRh4`bs6=Jo22DEKC{w^v<JY7^2Nn+TaUQ|&&grfXy--@!5=U3a7<LRgzTB4{B
z^4_p7EUFM6Mj`&GZ-rQwJU*M0tu>gS@ta6%+Nem9%&@Ou>eRaw{}e@91<L-klRI`B
z4<0*&o!{7NU#r5%<0LCi+56ktd5S2|=bS7uWOo=hr=PQih7!g1b}c?LmDR*WWf1{9
zLSzm5)<psQXP_Lu2!K29nDthu?x^Wqwn>hFyq-d>j(|{)2VGcWD$2vVI;?>)uKJFt
zwFjpe9k+;5sIB}_iumb^<go^JkzEd8tdb7=5cfbjLG{GqBD{|%ybq_so1OLpA%%3>
zAC2uDeo}m28H$5Va@v6hF?nbSoifG-M$W>VK8mYvDkezAh_<bJmQJTQ!@tSjTUy`5
zwFGY0-N=3ZkbJ)7<e{14;(<Ewz-(i4#mqQ3!?4mD#KbCg>lPi|ZdeoJxI1VvTsFh<
z_s~_^Sq1Yc`~grC-n|!(Nn||sB{x(lxzn|peFhPsfiV<SLI4j=cPm$n5if#`o5-m9
zVS^+#7)~#`jzhurE+&^YSVYab+h+QYX$=Dg+8dxG0{nc#HEy&GJUDr9^2kdk6`+y9
z_67o|47M;ySTtMS8g?@c%7wt{{5V*A9VmP3gq{dL($?x6*u8h}v3<vnCkya4tpGui
zr~vZTu-_i$-9r-!3-AdP;Hkb9V8gw;CykLQvvSrjb23eBU}9&=s*f6*C&o7K#IOx#
zNu8E4!yiNi>^X}F0HHSQ_bm#5zXkxm-!}kO?K!q@?|~E9J-d(XP1fSaqC&=!MFo)*
zhW+tH736PFkdOAQAZzv=-hJRuHjp-HK2eMMT2z!o!l*Ek#<0J!sKWd$3iFk|6=vCk
z4<2Z#j^)cjt)SjVtjjCI9$<>pcIhX<`chE#M<r~zfA{hGvqz3)5AJ)JF;dQNhquXs
zxmm(3+ix2+>Nv0nKRoDy3mpdJ*GC0iOl}b@l96G*a8a=Q9bkDu-(XpG;OIl!k_~KY
zR8aLkVqIQgRee#ce+sN`?knrJC0TzU&iZYU31G`B!#=bq);|r_@9!Jys}Aqp(@7<m
zQ3+znqB@WihMikfK|X_mWcyZ-6-W0S!vs&V7S2ay2vS7s%S*$4cv0+s7VMwv8~dw|
z-hX6rUv~1r!}snxmMp|;qe8^fMMaS$hW+|Q73Fg%$`gGn%F^S<TdLugqY}vLh;eyi
z*l%4F<8(&xmi{r0>4GHm@6j0N>xglAW7zLq6yu)<<L~Yp<AV<#&mKRq`^3H^_kR&_
zAEk+kAg>MkFBesWFQ5n?>01%5*n8~2LukR-LkITkn>^l9k}pRkX-OItNKzU0R~J>F
ze?Wo0*tY^L+uNo-E?*uQDDpmHU0xaXGNwpvpnMUmF9BtL43uRj4jgW&fNM3@<$c7u
zyfW<T7RCCP!1^_PV||dQwqt)HVn0d~6+vDb_LfBz;masOrf)?UI52r)-~QH4V1HDC
zFiBJZd284Q7FB?+paA>&R)FRA9Xhi6L{b&~NW{LMAYxwL8TOe)G5=LC|HFM_e((n$
z+&y{Xz=@Y7`ENx0M`@xW$ZNx%T~raih9Wq9E5gbn$MznW+<mBZ5_`aZqsoT+BZB9s
z9Is;m4ErY+RgSNN@;_WeIXcfF+4o@NXz%9m5et6W+%jitf|=IX-0~`!QI^B2`h>DX
zV<)xD{F=JI2l((w&LU&ZHe$)UdKN1QV?}4oRI}Co+@3aDeGOA^axU&B=WZm4PglpB
z1<?ghx4CNg38t4)E<6Vnw@QzTD(^k2^4^`Q@;F!hJ0XS4Rex&%j_A-8WxNloCLu?9
zT*T3b6h|Kn^Y3LMiyVC*q!5mtj?JEDxj8DBTE*bG+9-ja*cB0>Z+6aqhs!(SiU@8e
z#2=7aQNX$oZ;d!3D*}6XBhHy%CVav>*8dMh7UZ*%JD~eS2%Q2u>C#0jX;6DZQC!5I
z%v66iky-bdYTqpmIgnX=-8Y>5nDUvEWG`xA-6oDNXfhF#h5BwdXP!}K9jd5oE_$fV
zTX4uMs~@Ur<xuY#_-j%gF}02IR1{np#9<4}aAMCiR$!EOVYqlI=35*KN8<6K1-~7k
z>GhBpW&BP8@3xhv$`Y?UiHklbmA7m~3S%<xX+#dB^7i!ytWX(veaf&6O1;U@Gcg&8
z?^t{bg!3lxR1IYSH`byvFcoLPoe$66V26yf5w(A02r056H@*+-4KW|s8#WFN-2|_0
z&@Cc?(?#4{h3Rqw{%gdcJC#!K5#J+pkfY}Pdh^6a$;el&@ET9A*-6g)jTAa}e#%Z9
z`mYt2$Lai={77-8;DH{$xt|fomFV<rNY6|$2fws#R@|RCBU5vCZeZ#S^jlpk!Kd+^
zJXMqcfE2RXs0|K&{_=evi`GwyH*n(N3;oGU_4R#HUt#kXjdTMvQnx|sVvgW_H`c7R
zJ=6`~S8>$+!!)Z@aYnA4sZfM~j^GM2OY^tv)ZpA>TG~W;NIj@4s4!V?VFL-alJPj5
zw7p~S<Bsd>RPTTl?0=)Lhj`oL)c%G&mZlR377-7xy)1@mq+q>Ow4Y!D6IIRjm1rnR
zKRRyjCJjuQb6rf{wMTu={c#&J866e%epS@_QWceE=AMv(X6E7byoMoM6Z1|5mr-Ct
z1&w-i0?L-;1`12v#xV-F!>+pAK;34*-Fe{^2i$}q+rt7Qwd7O{ocK8#ipjJ3jR>KK
z6hbG$^7dkg`%B`7uc9ynP+{3#_tk#VM9;aXJ0$$>R$3=_pazCK?XV6Fbffql>~!&j
z>U7ne4?&NHldkAg+TR1g^!u#}uExL-ToZl0T!cYyp*%~=D;j7P!od&jX_=nO;2H=?
za8cJk#Owl<q2KAnu7u!++T8?k3G6g?Z7de-u-QnTHH9|Q=RWK3)$taksn@l>w6<#4
z;7yN8Rw=VCTK38ZdH5W@cmn^!;a0ddZ$e1yA61&<kyM(5y7u9aLUip&T-QDjo|RYk
zGm3c=j`7iP^Dc#24V^UFWN>UATRMZrjdQwFri<GfqaL`QSw`i5LY4nDVQJE6(oL-Q
z0Ena}ebq&3QfjUMj;OQht}=u4$vbkW8$~{_FBSuWAep!npa*1D&#oc-iVZS`g9vpK
zP@s7;s=nZOOBC@)kSZ}s@bznh7lA%Y>Q~(|)RU^cR2$OU{ae>Y*ziObzY(pj-@14-
z-X=9&e5J@Oq%pYdTAxV{Uj~hXFT0w(hehRe(a7r#TXehEs*qb>gs|AZt@P2mQt2b=
z<KGA=L?7QB*T<fIO@=$G4xIRxXHp};<0}HWEf?DZVFKri)8dI6zn~j1h=MZ`sBN5{
zcI198sBK(WgKLLK%?y2QAg)g=MAp@;8)jSbdAX{Rmw3Q7tJXtf`MJeZR0n^k>fn7L
zqG|es-ITweGGgP8y(j2=-{hDfn77nG<AkNQX<S^ygl9m}PvRD3*tQ{d{mCpU^G8&f
z|8!Ah-V-l#d_?i)i|q%afm(32w8*LSgqy?B0|y>iGu~72?NNWvwz@2i9if_l!^{DN
zG#mtm?sc@LAfMP0|HM@M6MUQegkP&$@yh?X*?4jAbBh|+1e1wrd&#Z+xumYsh~!db
zm8|D}WrfXFdeKj!&Gx$&-4}1sS}(eeYQIA#8oUc+ec?V-x~VRG=nMR|g;7%bBW)92
zw<IA@_IH$i`*te*#(wqbkV5*^m!V&c>o?v7<j<JYV6($x7yhs1hx|BppS~8rViw$a
z)q*#)TZe|qb7FH(^NxEejC^J<DCElfkyEFzk9bRF;`FHcu?0WI5ViI6X<j`U%!A}>
z86T$lh@PDo<YFUBFWsA}33b-9qiCr8ct<8G)SrPx-=@|kI70$P(MQT{HOk<SwS6R+
z*wtxb<&?N>!oe!sA2WRV6u?40$vZbMRZ_PrOOw69_qvk8W-9t@V4(l{>=gA`(3E5Q
zKwjXtBh1jK<}2Glq&aHy;Xx{ht>4Jmu7gzF#|cy!-R8%i_n_|REojNXdT@ugA!PQ=
zfD45i=AWLo8d9^}7*dF4E5}9*Cw~xX?SN*z!{C>JLW@f}93A2dYOT-`Vh3;zn>KK;
zO)HzPvN$B-lsl<7n=X`UC6*KH%1sPBB5IU=heArRpE>9542j7`w+JJO2BQ?H&*N4d
zo>+n?<`~ndeo|uw*9TOBj;b!#i3|n)6lI-=D@f4SXY>-B$r$(Y{ukL5R0$Rhc(InA
zD#%qah}{UmiE?GV<C5=_%PyfS=tf%{E<xf89Pe?O2%BcRO+RbnG8t%!)w&Euz=}@2
zJ&|Eg8-K_JR2QzKzgV#kwbjLE)dro&I_<LO=x~)?K%nyyMx6IdZ`K;DD{0Jk!i*C;
zZDa$V)phCac^8{7{O$y%T*544!sntz7KqRP&k%(2DUIcr$bIJ~vWRUBhZ}L})0U-=
z?e?c4{3Ym4y@}cs7j|$=rus5=MyfYMcZHp>)!Cp*pN*_TsO&s-ieXQsQ7z$)gh%6e
z#D`S-q9GN{EWb%5hEMGVTWUxpO_GFaJmnh%r#7gKTM9JnaN2+kA5|=}_z@k4RAF{7
zFZ{_QF&FL}))nsXbGU7vyacE+?VLMbF^t<vYYnJu@%J^n3*P&%BVca$5vp#?%8hhi
zP71|eG)3)M&=jwVw~VNB^PZ>6Td;^x*G4I^1fj4lxR4>1f0s#^wfpO4tq>abfp$qo
zhtSwhD9!MiRGNW9lKGHAh9s|#4N1HwIZ`<4H$gQJK!a4{3=SsztDV#~4>dWW+-!<2
zkjvVm-Jl&!8s-%9&RJKQ*Ysm0vtYYtcoF1tlDDWveqPnc8$*24ENMJRi43YHVL6?=
zrzc%4O-m-b6ttQFB@xPk0;=6CC`s8(&8nsh!RPF{G-M;+DA$a96(dn@738=PKBMUK
zqBaMgH1N%7sI9M<GjcFs6}N>OgS|m5b78)Yz`6lm$!9S0M)h%&pS0>DvYD2y51l*j
z!${Q{#oSi825&w7K3bu{GL9nlcfW+&U@u|W2P{LO7Y+RsB);F1<3AN|51NKvD<axX
zHLEwh>ts=VU3BvBakZIMrbOiI4jrCxwqvjF4YD5S>0XkCpxJ+@G{yT;X$tD@_l6Xr
zyWbMm-7gO|U(#&VS?2<rs8sTgTak-y0h4TJM$d$9E$f*fZ6ZomqT$Q8geyj|`@T|A
zd)$Lf`J)pPYGZyl*WzW;eL5OBr=|o7e;T6DZsfic<qE3hveD>EBB~!xkaiw`@YI}t
zIEUYpG5S3hjaMiG-o@wD28pPdbQ`7rGTT-lO3A+FLs4HNmcBn|uR250xl@b+3*GSF
z?L{2+@A^hVYdSdtf%`DkZtvjOMnDbWWCqcyakyUWOX~3GFeeFVGX!2(>%kT+pLk?A
zcA8{()W5ccwrEHLhq=fKHYk=yj^paX=nx0?rZ;eBz4$%sEbZc7jgI1ij}r?i+o_3N
zo6#mFPBUxnYUe78kCGgqQ@tfFrfHO1N1MI~F!LAAC7Es<`+1~aCTh1nbE#%K>9OzI
znhn*7D7SBlp6aa97Bi>vwz#f<7v(|m2H&XUHD8DLJYCBz@dn&#&V?WO)_3b3X^s@u
zBhgj(cQyX`3p!9m?}Ezl2H;+viwe!t%@J?;0X$Tj-ZIB3O*dcNob(1@JGy46BoC|E
z@&bh-F_GIqCSD`&Wmyw_w<K60R)d4zmbbcC$(0&;i`!Y`d-gShI4gZEgX<XFz~Dv%
zmNy9h_j#-47Mcey_XcvN+y>S3*5Np@Yy|d?8SetGGo|WO^KoxQp@>_XE6sUtjsG1#
z;&E?K`GLc!<bzARA>4O^?^EA^YN&3`MhMtf;p3)62A{NVK@>Zs0sK{NLJz;2m9vcT
zQ}J5&uJG$&Y!<^x><Pp8RKuLvT+VEwZb0Qo7tl-bBJN?(9&Cv!EKr^HdXS(dC*c}X
zo%$g3lit$ZM-Q+L>=&u`_PzLP??qtQHz7QDxqUPKc&i?CFaX%!z;Iz#)4ml^kJ}p%
z&f6pMdn3YwOYBYZ@M46goAwy~*!vMAQ2L)lX*=T+DA}74`ELfyKpm%o%4Q94cq{i5
z%*qU=6=#~>)`IKSoL%GNa1vN(U@KI$JPsi!Li*u}cbt7?&~1#@t&(Npqz&^Jyw9@o
zQ)cdL)4L-@7DdNtSk5>$7?0-))v9ALuNC`??){Carnjm0oJhBN53Ynz_duZCd53zZ
z9-l(%884f~%6LW<e0<N5$rHy8-232(1C#qR<vj8a#K!(%R$NSAhW1p;W!!x2&h;uU
zBleFV7u#fzXE1}nQc`plKNC{)VM@^v#$S{a6;=gp%X=)7F|vW(3`1s@5x@mq;DZ2j
zqt2T=pc=Xgf&fRY=UWW*ah&CLopDBu!{Qn@XPs;T@-tVfy4kW>KcAhks@!I$Oy!_C
zd#n8BI>uL#SK%O<XK<sruEK@Fw*gaO2nWGFp?4J2CeU7%Y;Vm`-*Kc86@5R8E|M1&
zx(9J@l~w6>LgtrC0*&o3BIs-`*pH&K33&eNB+vGbqJqh5WJr6%(NM}iVZu?=ShYSD
zT9(=uwbU45v4;u9jC$(sn;AH)(->GaW4UAK{KTDwRwan$jvPNao@LBk#sbbM1|Py9
zOdQG#53@uOp?zV$8Ni?c{73#twFBZ!A%zTCKZ&v}?8J8EnTgEiiOlvhStXv~0Ym#Y
znH_D7&j;-&ikk3ND6(kK7si11{~B_#(8Qd#j0d!v_V1J8f_Hr;GmigN-s1(gTpH)@
zr}G*9r0ebiy{f&7iJzhH#QWkz#~ZHB{2hhw9UxkOAh@jIS3~v*WXoj@K4jZkA^Ru^
z<B)|>0c6`+AcJE`IK~LS*(+q9CPf^wZ5<)|7!#*}>{Ep7&q35z$hNjZc7cq=Aq%4d
z$hNjXwv~|mACmUeLINpUwz37XtsNnICM9H_CS*_d8?r5}kX^@8#32i#0?4+sK(>XD
z86-^w*@jlgwseH-1}07+WuGBr*Mg|8QntAjvb)Gw9I`MffNXOMWSa@u9+IYl>;Y25
z8|LPYkln+?DIohSA-e-aeT8hI6*7~I#UTr$0>~y>Ae$g$(<Ds=S(y}Z$R;{MmSf@+
zkbRDjWkJ**$Oh44-kxcL*pHL1IAUScgtuI%G{F1_@b)+fQ{nYGQe5z^3%X12(-E#$
zGi?gE{+@8X3Pk;bYiH*6Rsnm8e8u4kqXaHc#o=NEc>6CTOa<3FNuj}oj5@;gHl|Gh
z*XIe>FM+6^aP4e`>yOD-9Ii0RhihjNuAPMI!z4@v*I$w%2G`DxaD9+zQ^55F!u5U-
z^%Jfgt#Eyne8u4kqkOn_B;ndYxV}lkRB(Np6fwAVbcE~cOq&9(e;{0622nrZx~&zi
zbwe$1g;73Snv-xUvz-}u6*uhXkuVip*OMX!*KHl)TF<m8;QAurS_`6n!qsMMw3U3t
zr7Mi`;o6>*uI+?tCka!*bvG$uaBc4h*LJ2&0oRuZ*Jcp)6RtMnqKC*=9Ii0Rhf5z8
ziFC=R=oAT4!8JvS7+jqPMJJgy1zcYyTqi)(Pq^BQiRQ>x9Ii0Rhf5z430yKF`gbHu
z1=nMwh{4r)K=cZxO##<e2-hr#`UzK?@z9&dR~)V|%7;rI4hdW`8hSGcQ^ECCQpDiu
zJQ(^#rcD9YR|(h8fvBHwwHXV&mwd(H3Zs0u^r4WzB_p9fBw;GJ{)7}UxH=Dn{yWpA
zfa`07>pdXqCtPi;`p=NBI9y?r50^d+61Zd(^aT>8g6nIfh{4s_s{b6*rhx0~gzHlv
z>JMC;1KW|=+(x{XuWG?7jFNF9$+W%^6NwT7_J&BB3b89mp^Y1vQ^($MfQeH;_6<U|
z6hwW6tc{3`kg>Rkg;4=yx{N8vM99WSnhLUQq=-Y-S;{ssaSF)(k&xXAqW(a}q4th;
zW5<K!D~?zgC5;kPnv9`QG6K9EC1EPOUP=nBQ6i&`5_XtrQ^562!gT;d{e-K{*s(&s
z;&6pgK3s{h<Bp7s9UT&;g6m;Y#Ng^YcC0aN3b?*SxJn@ECtPjDj;|+Qak#=LAFjmM
zaYshRjz3MpRB-(QDPnMS9y>nCv?<{FC&Kkw5cLzTHe<(kk*_#hVU!P7V(hp>jU9iN
zgsI^A15(7`>O6M*ZKh2D*FO`k-vm)V;c8>9evEv@;R>UCxDw{-j*OVAe?!7laDA2(
zF}OOLs~>0D6mUIFxIPM^e!|tpo_L0Q#o-F0e7JOTLR7t&tN%*ERB)|WorJ5iG4b7$
zaQ$z>b)nC2wXr2`U>V|Yg;73Sx+x)Wi6t>i!c=f=Y=Nt@A#o$qrjV`+gzGvG^-sEP
zYd2?q5BZA26-EhMpo$w3i~w)@NSF$)L!{6eBQok}NZiY`Dd74x;kpY%{ex?Jrp?Sm
zj(o-83Zn!rP{rY51b8cuFcn-?QfP1?qmFP{Oq&9(X9$-GqJF~FM%BNXe8u4kqkOm$
zs(!mt^{*jeD!AT2iWpp-RsB5Erhw}^gzLva)K9qDsQR~&uQ*&`ln+-z)o;&;s{b_-
zrh@CYND+gpv#NhP)24vyyM*g05cLzTHmd%E<SPzW80Ev2&|TY=?)ozlrh@CQND+gp
zv+nv3)24vy{}8S}22uau+Lmc!)qkCQ#o-F01TIj;br&PR+dq*o6<psTg$5Tg>ZrT^
zk!e%F^)H0$t03wpTy3oS^=n$-3Zs0u5?1{-Wz}Cp!c=g*kQ6bvI$QNuF>MOC{*`d8
z15rQWYO^A=oqWZmD~$5tN~{QN%gBn*E)u4KYd0xkaCKf0+QGCb;97Dy;MxkJe!|se
zMd&2?io+E~`EVsxgtld5Md&mMQ^A!dMGUUaD?&fSv?<`ajBq^!qJF~F#_oCr`HI68
zM)`0h?5=If?s}Ajso?qvQpDiuY<E4vv?<`aoN&#7s6TLV5_&7G`k}<$RgV*g@<zRg
zcCh|ua!eovH6)2^d`5u9w=h*I)ZR{t3*HOVhMaTwdPjx-pO`cSXiEv&n?ST!(4q~_
z$rC}HZZ145J7$CZ#IgP4w{SnXfV<1+Qdq$_+%3MenBT1J+{U1jK!+Zw3m5EnvV8vj
z_T^IGaC2wjrf{#gwy*tG#RtSZ;A0|#hZfXZ7}*kMgzZFU<h2?jD^fACO=qN4#k4TO
z@A@aSxSxXhO=qN}F*2Bnk?lGotzAP4Bm8cRk?k=?4rq)FrDEhZosrfqy@e5eH^#_q
zF-C6H7+IZ)ksUfCt)^HDBm8cRksUEcmTHWwO~DAv?}!mREG(@2uEq%McU?w4MKjQE
zHS1C_vRP-Ob?DQA$j&4qY|qhAkN0SdtWU+r7M+pSA!`dGw<j54dyW|SIgOF4QZb_G
zk#<uJaYmLwp|L7rbrV-4vl=H?r{DzBLJ=hG=7?H3N$6J2Q0bVQ&^Wm!1t&XnPVlgR
zxDu0uas^S0lg%0@*QVk`lUJ<q_P|L(yMidj$y$w*>r!!|2`uL2d*CFYUOAbs*UpzY
zC+xT3>r-)}saGth^uS3%zj75u=j8nwCofFJiKbt%64nDJ2?fjLGo6!P(l{|vak4XN
zJ6OW(fs=%W<+`WN$*VL@hEs8JyUt1Ll5uM*PN-NeSnHf*HBN5sg_99wAwlvrg~F#E
zP|>w)u-iaq<_?XSThlQUZ^=D0<t@6R4R(v@%v`H6Gtvt)zU{bE*Kc@O7?&*xO$(w}
z9X-wcHGW&(l!_A#m7Trlw=D@x3!)e&f39&dnu-%mzwPWrzimlqS`fuJd56YHCKV@I
zkGyk1%O1VYmV~ASQH+x(G)^W`aiW>_J2MNJ_T(g?X+ad@#MU_3l8O_}w%?gq$hIdZ
z2~7*47$^HRPPV1uMC*O96}*SGlhCx>Kd!gpn>9{uOT~%S`|Rwc_t}!rv>=Lca+$`-
z&QzRez0b~GdY>)2p2ZjtL@`c2$&LTMKG~Iu6Rr1Yci5$+_t~l|S>Yt!`@CD@<c<`a
z;9yeJ54Jm{)XGUh$ATz^$<Jz>+|>&wem{sq&KfIxT3BYc>RJ|E52<3zG&E-JNym()
z@sVv0{oqzz(JE%*I{%o)%)RND(Ud-z>A|Yqs_R<COkC}cYs~CT$Bd@;!OTKaI#6<3
zb#<$liEIAV8Z-B$V@6Z`V5SG%zg5?`ikZ0b|00hF`;Gekbj)blAI$Wi{<rE%S1}XU
z|9_-0^FT*tq8UVQ@Lb@+AR7JZah;tb9Hv8pD5nwcMRb`FdKVm<Etqh=FjlOL(ZiVB
zThT1sU<G6B5$|TE51f6~jaM3^*x=9u7%9Z>-rY^*k|<2pw1U|IVt#YMC@fVoyFA)|
zaJhG_bsqlvT(~$2JZNO6=Cb0H;E|^Nx+^eOyV~)tX`8B;Z$1JRkw7n4z;N(gZ-oQy
za#pi&6Ir;-Tbpat>u@uY_2VbK)j>?DSh3){XAn07)8~=X^sdZTbMz1BWZ)Ez-bwQC
z8S{`?f+v~C^V7yjZ{>`-EVx<+{YoGOrzB>%hKE(^Gg;()7LP;zW20We(;9d$%F>k$
z-{N!2=^1IR>8+oxR$cfQwX~N9FZ0&$R&lsi%ATjgVfY&H*3#c}EeqE<Wso|^@;Vg*
ze>oD9r4Phxu4Fp&o`Wy?1YyK#b(2rFWSz50^!+qcFiURmxZJzaI$s1<xDcn|M6t{B
z)>LB#`K_Hb>lI*y6!3djM$AgLZssiU&ol3>Emr6s*{bBKd3vbwRyN$}v7KX15x=jG
zzsy?odbOT~gP?o~j+{_&C|k~LdRO>fmZMyjOD;|ChQymh7WRLG0C{UwzOB^P$6q9f
zy>%>u1E30ksDv^>xJ&R})G%i(AfCtb<#2!H{XiYAzw7xdyk|i^@EJPyn)Ft{oy|0g
z2}Fu{+;0jmT<4pG72aCjV4aPkyvrfTXg2U7n+*jIz)FNTf~~;$E3&ylVt{VNVf9B*
zHOFe?tJ(AL(J|?*LtBA!qpVITQi4`?uILnTXCm{;;yOTc3b)*aTn+>c0v>Hvqc9Gd
z0PX;;R*-y+pG-XK(vz5XwOo-0Uu9OEX;8z=Ee~g4tKifpe1wQz$yNo)smwqSOT}{0
zZ9cH%)Bn8OTU)bgQNw3(Rx@S_ex9;y9$x4sXm)lsQ=4<))+bY~&y44-bK^+qj5odK
zkwRDj1+G&lqoQ0?%pl^&ZkgByWY^ZGbBWI|Ci=|vfj1(zT17)ITJE%bM*N>ZVqJ3z
zttd~=XoKDjkjXOqef!Nb)LU5xj(IKkH(Te-Rb2CYwosfYl<*JoyA1xUAnvOjxFd42
zFK?h-I{@kj<XJstOVymIoV0m2<O(L55Ig{@_J*ny2tj?eQNt(JLMe$)HD3=r4(X}p
zij`@|K%f}bQ&m7Q#?!5{%2QSzZFLUcDp;0_+@6;!Rn4<m3!arqS=_G)=Z#bq^WIXc
za;^#YE8d_|5onVTFF1rLLg3vj9P+?1j|jt+_z=X!g{Fikz~7t$&Frm@#ZsqBG;*5`
z9!5epOyX||3xi)UJ>QoR9G%tR!pICg+aQ9TZGwnx5JU0X5=3le1ig|35nC8RpBq8M
zW=7DXL=Z8-2>MIFSCxYRJkuY5JoCUio_XNif8NPwp6K?Uckr1<mi_13_{=l8{_}P|
z^U$gPEIjj6rT;7}^Vp#OEFAM(oc}Bg^Wc~NEd26hlN126Ns@pEcY+8>!DA^x!C5SD
zz+)Hwvy_163jAj&0XNS3&r$;J4ELXfBW`{6pXGzx+v`8e_qcggo;ml8?{RmgJahXY
zp1J+df0q2Xzs`S_{J4S4e-?V~kdkL^0Rla@0Qt|tANRQU&w?;Farn=IFn1~V&+>gP
z!^<<*J&_+5n9YW_f;u@*p)A}0(OYdg-T)<2#f>QQ;|BY+=tOLf!3QCa_6HdJ)^Y^D
z$zcCd1bZ3$Dj$D^!5blj_D?go2N(X?cQTk|;4=6%25)EZEe79Ua6LR)+Sf98jKQlI
z{2qhfW$=1t^^*)<$zYDb;|yNS;3vr1k2Cl%%4L6$!Cy1@D+XU+@HqzGV(<+H|H|OI
z3|6g0Fv#E<23Ik-iGjgjoWUrAmoV7LU_XPs430B6${@?&hZ&q@P+&02z-91b3?60h
zS_U42pJ(v144z`}76$KR@D2v=W$=3p{)EB%8GMYvUoiMAgHJK|I)kq;_zr^$3<e0q
zG6p}uU>$=S8C=ic#SBIm>|n5s!5#+pFgU{C5Q9?;PBNHbkZ0g9s4@6a2CqcW@K#b_
z==qFdq(o+3BxX{iWl|(%Qlw;3BxF*gV^SnzQlw&1Bw|veVNxVvQlwx~Bw$i%e^P3G
zUTS?_YJ5^^dtPdKUTS$>YIt61cV23CUTSq-YII&|b6#q4UTSe(YH(g^Z(eF{UTSS#
zY7C_Sobyss^HNLmQbY4nJM&UA^HMAGQX}(H8}m{V^HK}*QUmjX{=6VRFR0H8;`4&`
zydXU<D9;PR^MdYtqp+TSRBtHUDoqc6*zO81QH}1yY=hG19=#mDq|rUVHYknmci0A{
z(S3lwq|xmO8{NZUqvOTOs?qT>Kh@}Xr;}=QyrV!hI(m>+jm`-h-J|>^jgI>?RHOSN
zwkT<IAK@=)bf4reX>?!WFKKj7^OrQb%PFza=+^R=G`bh?mo&Ot`AZtz7XFe(cNc$2
zqkDkAq|rUZU()EN_)8jHg}<cHJ<MOy=w8iV(&*m6U()D)k-wzT{R)3cqx)_Cl1BGF
z{*p%bA^ws^_X+-zM)!ICl1BGU{*p%bFZ?BqZitOU8r{|WC5>*FzogM+_)8kyF8-26
zcOQRAqdUf5(&&DKzogOG{KZCRpF_~_*62o<SQcw?@Es~92o$@Dp{*UHbD;XYEA<$f
zg%S&+tvppNg?61pUX_RpQ?HEWxH9;v5Ur2pk6}~Y<v8tm$-MkG@Q#a-K(5;0g%3?{
z6)rC=!MK7Mh0)-^9zXs`=ob6^DD}ZxoX48SVAIyjI;><^R1O9s>cio{K#ztS<F(G5
z1H(9ojfSnueP_m@&q4or!rOX36k45QQbSpJhFpspP8JOFmMC6<0sJhCrQ!H86Yb;@
z7tNJ*sG|iP1RD0)1=4xT{ekIa-ZH9LSknh4?>oZLVKA(Rea&$@91_CYZ&BsvtqS1~
bvvrm4p%`}d48>q5&oP@nyy1)l{LlVh$^61=

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/install.doctree b/docs/0.10.5/doctrees/install.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..985f360b6ad1077186908168c5d96485e56fb55f
GIT binary patch
literal 12450
zcmd^FU5wpE6;7J$Zg#WTB%8KS+AZ#e{5JRAv;hHW11cmbX_8Gy!cS9z@wMk(`^MLH
z?D5^b4}~BoYQPks7!VSu;sx=7ctPTU2PA|*0`Y=`5RXLgfOtVjz#HN_W6zAe*=+9a
zmI_4G-K=MhXTJH)&&(X3n`2-5#?ejUziej`xn8i;v>Yc09hT(THYc>xJ_~q$J3sW<
z{N?;$HW^!sNtnhq%d<_8uwBo0Vix4r&^bf$-1C!WIlwr#;x5y#yJOjOvuT)KkZ{ZQ
zkLT{hwLF`$IFG${$}uO+vBh%|jF(N=zLg|s#NT6q)i3_q=A@B+Xj}I6m~{#n{NXux
zuN*#4vk7i>NjP_>vaP-su>9=iY&^1nnCI@6Y|>Oq#M8K3*?U?aNm!h;&VTIc)9*dj
zisG=Bv>c0D_^adjEN<boq*aKw%ITVM!t=E4PG%Dcv$+=riZ*x59jB!pMCTayxX&tG
z*~FQG4#5T_wq9XN#F_4RB^T^tn1*Y(Pr6UITip2t_w5U5+j4h-Gk5k{?mmd0hw<}P
z{Jia2p1O~_hakSc5O?>wZ$G<L;F|;iRyVdHw+dtbmCz`cVsMukoz(Y@2>e=IJj7w&
zh=!3@=*&HujVi9OzaL;ujE?;ocV1u~munE%claJ>vE`d>KeVq`@jn)Mky^k>DC=UW
zte5&e7y<o2y}FRbN|T;njooZ=sqY_8zz;lOTNE=G%m9CmbwYBETiG_>3c4w{BSQ{@
zB!tql8Q1H&K7P0f&meOrEuAe_x~;O(XA6ge$Nct8N9g1HIU{B_QZHuYl8FH$Hh35s
z37p5~#=*oI9x;YtYB*tVfE$Zez|k)mnc@r>;*K9K9xB9aE0CRrWhB1W@3UAcylGs4
z2`p<g951ojK1-&^J{;DuQlA?M2KKl&KnqAmGcT;)Xc@ri@gZQ_VK;zG7#IhA8X-O;
z74o}vtnSXuZ~phMPur3MwYJx8_tPs{!)zHWR`AG`x-^Oy!$oUHv8#gOoU+Nc-pkjd
zTJJ5O5s{C5dNm(&UvfX;Uc2RfQhSj5sk+O|R^aWE@MN$(EE}>tmjf$`hDJ%AC8Bc~
z5?1WfC~sqiua3?eMcmg4aS^@Vf~ci^`Kc?eml*iJ^kj!TwA@tSdhv~v@s>4+L*Yva
z<B2469dGJ2d<URjAAJon@;)NhQd`3l=PmofW#gb1aON9007Qq3MUO)^?6Y>v7S$Fp
zf~3ay0}Sx}wPSp=f>GP2ML1M+OA6)h-*0^I;>FYFo_qfCiTTEvR+_{uY$BGA9o+U)
zhZ&7?l}6ud&l^=ckA~b0gGMo$)XSSNljev#=EocKn7ImJ+AyW6;3YmANvW$yYQVq7
zWWQRwQs*lewNksIC^d|DOB!NTueJ8kRQsmQr}-iU|9*oCen*8ot>Bq+UXU(HmryRc
zyjer}3x@gg+Eu6GA7X}9-M%DsLc@x91J?ngF_btAXrl0^hQkKZr$&_4Sc$fOZjiPo
zHEm3tsk1#Ly7FLLY#f$6YRhi99NAqtfs;0>Cve&iR@ta#Kak==Wt^tt_GLS^xa~?-
zR_am|^d8*2X_IU8X6c``Tn~CX)f-~Jda4%dA78j|<<#-owrSvii<<z2!ebKJ{lqlP
z`2wb)CLQG#Bln|YSfGSkgSltm#XPlq77U~+l!dR@rvV);05#VI=v{R{+TNci2{IbE
zHC3)98mFXg1W5%J=NhB;ERb%{)Zbl)t%JnuWyaIUC{g10K2S8S)TMy+777;6t&7EH
z>u@xSrz<RK=8Q(8Xg?vl2LO6(s<@3C;-S^{f|i9#_`u@0{1<n>H)=SwY@v^<8`sDC
z>I7(gJR}eM)r+4}$vt`%yq;fZrME7voUDV=S|NizCf&?v#PTdFZlz6*)J4hn{RI_N
z!Q|4$nLJ$wt(lyYOyc^<aR0<LHDZCo0^4JWV)Q;z3U2R<1+%ZNi`f_IAT_glS7Wx(
z_p9WNB&z@me!sqPe$UmRYkr@R{0=-zWGiA8h456P*w1j2Nuwq%U{>HL(-CKHf2i1h
zcEvI7+`K)~AZo3>?-k1V?z)uo;ra@-a$c0tMy(}5I)oc-{o7o08S|%VTBP1qH5+vp
z(d$?v2m{uzf?;#f^`*c32WL>^2t)Yc#tq?eohEGv+mX+qBvitfQf#eFLFxUx(9_S>
zrKcC`0JNU|bn4Qj3zv=?C&LtprfP69x=2z5$E$hV6DL02e6e}8NTyUfT6gKKAtdio
zo^jCfV`e#Yq!pKTnIgu}Pd8tDx_R~K(MB(Y@0#F<K?&>=2dd}}sPx(Y$!e9+2>bob
z#_ji|y7_4P{gKGf^qCbTh+`HP#_U?iZuXJv^yqdxz^4JEG7}>#60=qBrW9%MF#{4)
zFbR<<r8v<EeTT)(DP-A^EDrqvJ7O@TO|TasqZ?uZ5*0!Qf`frmwu7CD7wyH{B7DXy
zPK$99&Z1<>YUAam3?l!t_?3!#e=Op{opr?p^InSGQ{7#<AU<uY0JUPD2K2WA&|lXD
z2-)B2r9}s-i?w|Mh@NygkCNl9R)MZ*hy9jqMIJtt!60hipPCTa%evhY)u<p%;Ef+x
zQ6b##U*KVbH;_(^l*)a3woUin27PX7B<1~AU$=|iBA)8rRc_mKn_cC$J#mF4+zYyr
zIrXd-+<Wu^aj$-a{#nz#`eF5kxL5aU7uEx(;okV(Ns}K@2O?^yZdm$YI<mY5ey9L`
zK*3ncO*@2s<N^R(8|}WD(JnjuH)sLXL+Xgq3bZh<cLDJR&Fe-TzK-sXQuIai#K&hN
z#TO}|gXD;jCi=9ps*Hl#d%ocJ)VlZ`)B$RK-*@u4E6-iLbm8=wbEhtumrtEKdE%(d
zwoo#GKnpX$K4T;9$3`PE=Bec{j@R?jkT*JvTBgv*<&A4(slH&Xk$03Dq0j2Hp)S)3
zWt;jcPLC$6!1q|8BYRysdbti+>*(xybVMpL%d?>=f*cM5(NHSv4INVvAhdU5<J$X7
zoeHhJ$E80RLVw~j(8ZxJ(5g$_PfP*seXh{hXV;~%&(~pUjV;_mV-#<zJ7|lL7nL3+
z9qOqDL@3Tq1||v86}F-B)Nk~#iUy&#uWVdzU#JtJ^>(P#n-@6Vz;lo~t@)k^h;`Rn
z!y9TDz3&v-e0^Qo{8Amf)@J7(+N6whJw{e4cA7%9O?f*@#PeMac?J5vSeA`Q*L<_4
zQ?v=~e}CiJ|8kAM${}llxS(T?K3P?oRyj`L5Tl1V=+058)>AoCpF>pTl|@BJx)95f
z^+@zJWJ__55~rfA*%XSl7|OA1=1^_cBWx)``3SsEwwmpsDN49r&U?QkLz+&qx2!0I
z+OL;$cMbwom=c^Ui&9ly?p~_B*__STX-xHCW?B8UkWI@LQ8BiVZ9~e3_(DnCZdKxj
zBPu?C2dFn2|ET4sC{B|_a_*spY_iJ&lqvBr&hdcI0miL<goo|LG$zKrj>j@>ZKko0
zryV@BO{!_5UQ9OzT=6i^W;<cXgOIaIC)nCSg=Rt8H<xIeB>raT_8FPDI*4>EhJ3VW
z!BtYUm=vQ;Sy_h}%NNR0J1m|ucQH48Heh~!_JM55wS4tBmhEOs9=PHbPZKFLmW?^A
zopv$Z%%T+s;0h9mpnbGV@)$)@w5a^mY{m<sl$+3Z=#T|wlPT{s-qT1t{QX$H(`0cR
z#-@v$Au_h$nV{M{&vu3>ua7b&M#;0eWj)J===}o*l+6_5Y7Fx2$Lbx+Ue0#W8WIrY
zf+AlOe(jJ&USQloeb)o1gv|C(y;JO%)f6*$7)KRY2g?K_o`cAPV#TH09nWU0l!vBn
z${wI1#vM-Dk4$BFAXYR`(M23seu80kiWaaNB&2@b6eSFwTTK+GL24I#B}^D<F7=zj
zO5kM!50zWOM0c7vP*P<U7E+>|kPhMQ&8D#!3K_)*PFPJTX41AViZ36gzo@X2#Z+7a
z4bx~2RK6W0qv{bRx|_TTmJ@Vgh^RXAc>cnsKm2_xn~7MY9iNsnO)YH;=*c}YLtc;<
z7Z<S;(<jJg7<XIvblieu(#o@k=nVk{Z<w6*p(uO-LWLfS8vBmE6U@%U9edd{)S{<(
zOiqL9I@GdyjCaH|F7Nx8Vv<{Jc#*^1{Oq=D4mR00m3ykVWfrA@x3XQyFyPjbsVe_+
zRHBAt`qN3@f}`C?;nxX>+9RHeM^hxn3u@<V7xkJp)K~Z$SQZrG?dxfTQbVe{6;-8W
z9JmGR32iUvzy@Ssn59sGz*v{t#rkdLz*mP*Ba+t~qdjE%p>^G4earJr6ayn$MMb!;
zW?S%?El0^|wyg*e@JW~#9U)-w+$?H+g)!{LL@*bQVqlm83I(asF`KQm7B#$R#%LY&
zFiviP@?Q$%DA=5~l5B!Hi?)Ns4lvi7Mhc=gNx$~MqkFsP*H7u!Pw*?vCg~MEi~t+O
zvErpy#XAc^enH4Cr0y)0&d#~}d%wVI_=iSxUn_>A56xmYaS=|l9aSBR_3W^bnh`4m
z=%R&OS;`emR9ndEL@R8f-wu6cHlp#tWsORDvNqzRoK?IuTN@uyIp(wtJhXhQvS(8^
zg+OD6DFuT(+ir)x58Xja*lZ>~Shn8=YrU;oHf=h)Ie8_&1eZZ+8k`Un*a-?+X=0Qq
z&m==6Ap5daZ+~U6bEWL<@X0jtJsX~Ac<@LMOE3y^5y|c2#ykQCRfNy0JZAHLuiUx$
zt@5QiH^1G?>!+uy06%)V<{2E6K880|%Q^@Xv9hspTil#&CHsOepIJD4f%c}NC?2u0
ztTW$=(?#zigri;nf)Z>in^jR;(nqBBJ_>PJvxrk5eYRF-_VW2?*7y)6j_H6PIaKUX
zWg$)p$RWwo({f^#?z2of5)mEgedO*Uq8H(f6=>KjX`p3qSIZW$V|!V5hhW#GBL69e
OHqLU7A@!y0=Dz{_4szQ7

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/labeler.doctree b/docs/0.10.5/doctrees/labeler.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..62347eb2670e507ae6d160c51e740ce5acdb4908
GIT binary patch
literal 46397
zcmeHwdu&|Ud7pOm<Y=XR*@_#}o159SIdn8bQd)bpw79!^uCx*<Rg^5+Tz2-(%$>P+
zG;{CleehvLh#kkM*SJmNcpSt?+M@q7K++(95d%Sj7D$2sc>qpOq-{_*ZR4g03>z_8
z)NoKYNPpjV9{1kih#U^7wY(;=+L^icJiqgu?|r`W$^BnE@s&ON7e5|!Y{y+KnYEhh
z)vTZ!AF6rPsBO7n_Y2+ePj&Bg3-O3=t^{7>SFLWm2PLYu)2jKF+g-xTqf|b0T0u!R
zFw!x7v*DW^Teo2EkDG6N)Uj5K&~^gD^+K!Sd3OxYHC}bXOHsu*ZHHken4XwuIH4U?
zN>#5tQ8hbGXtq4pn((8FQ}x`5(6_9Kw&}PNs*PZxWmc?~<(J$_%W?0#^hUXBAH=}y
z5scfaTNo$Ct>$9yw~x|myxn)xTBS+GqZ^H^`<X5S0aMtxTzmlYCa~F0#Uo`6M0;<1
zK*DY=-iHxd-MOe@#yK+#eWwzIfH}c<uTu*E&-h@qWd;Er;`@HrY>RJ)YEdWoQ8BA`
zFf}f-j~;I}hxh=BN50dIFYOeZyHR{FG#lKz{e(SgKNeL0)B~aEH>?DA0JbYTxVXHu
zwgG_Ic>rj188}rWoGL1OD0*&D;854JpTk0bK$TmMd%9c!<vxgV3QYDyWKY^taZV#p
zt$XDWF-c2zubQ`Ib*huIpNT&*aVxO=U}E<6$4|U?a-!pV&0wNth9<t%9iZw2up^id
zSkZ&NUHiwbJc^F?+V8XX0-}53Bev79Tlg2YOt+Cn<O7Vz3K+ek0kTo~c%O?61YD|n
zw13}<A153Hv~1rBY_C=8e(umeh`*nr30zX0+t1jqVla>JvL3{K%+LhvqfNRWS#7tb
zgN{i=<4^~kS^l!sr7mvwba6m*5m?pG@!WMYq@BD!bi!787suoCmK!*svuqjX0b1j{
z6^i=C3MdHH+A^*R!XR+w*j8%jJ#V)$);qKo_A_(#kI~NEaQPh+uZ!Xgy%9`pK~T|6
zA!b+Xssc~CjmOc(Vbw<b_m^FP$kwXa?zF7q#)@SS{dGQJrDttm#X4AdH#EFDzhE$3
zmndk2o>60v@w-3+({X_)ZIf2Qz&E1;OfiDckE&thTQ$RUYewXz9uQ)e42%ja1nc3s
zJR+dhib4O-Pw0bSXU2xM1FvlvLC2~(b*E}jBY_o)wW~RGCflLWasnPcW`U-yprqFF
zha3tCe*O#)?xzRGPmm|Z%XcX}&EQt?qT>hQaie90U;pHn0;5K|%W<)UE4CSCR?tb-
zVvDtsvHv^<@pD@r`?1v6x4XASF@H<#EkV%=c2hlwpT14=hQ!i`ob-K{Ozz)el)pOo
z<cM(mN{Vpgha?>7HVT=={p!txB+`^jqvLceVg?`tfzxoYxv|o1^NwXyA_#bn+c+-v
zE`Otq4>DeJm`Vp?tIl3E+7KICf$?VKRPQi#u*_hsWS}?SG9VEdC(&jTltdFGfD=R^
z8O=2RK-=JtRVxTQAN}Grw|t!2q@Nux2z3cf3EpYbN-*g6ffBzvI0mV$T~wH~0~mBN
zgF(5UG+UqokeYu|&|&apr)@SeeEB{6WO~{-f3<kA<*ih0(+^7>NFp0cD|^v41O?SY
zH{Q$g>J#gliE~w;q63b>l5_mX2fOw+17e(Clf-Qr5cmrM+-BTbf$UTYWFzs91W_db
zzX4PA+;YvTJ1+CJlwcD7M5$yX&@k>d=N$csiT|Y{D)xUL01);!#Qg1V+TXg@wf|Pn
zaMb>;nq}YFeZx#kqu)_wQxhD9WTvUgD`}iqc<zxsdoGw&JK5a^mdB`ow?huA+8`=k
z1QLoBTXt%Z*=nuP?hhg-G}fR}8m?v4f|7A2pr1yY<XppAg<JqW#JfI47K{+YDL`We
z6jGKMm^cvS0HMK)kVTdh?a*J1j^&eJBS?8d#|#iAmQOT|TSsbSuc<odD{6%xp&*Hn
zid=5AEjXnewN1C^TV~Cyv@AmwRpe?HUW39*)4}F@fMWJ&^B8>$EQqVEeIbSUi4gtj
z93)dE<@k}5Mx{gzY@CM{8yb~0Z0wHbhrkU3n9KO+Ti|rQMaobj0_|9P$*eyhW=;ER
z>$83}HS6u}_gU<Bm{MSU2_eQ?eu@k#foV^?&vRRA>)xQ=k(Lu$zS$~QT3+=|szkhR
z(O8;R^1S$=XOD(Qo3CQ(y)+I+79V;|2;Clfy&`q-AyRcC;zUy2mAX{(f`H;#`heuy
z+gzrReIPqN8nDB5i}cjyE28oYk0U<hR)npr8$WgqGS3<8@i}~^<|N?Jyod^l+Ak3H
z3M?|bASb^CYx-+5@Lct{1A=0LtOQ1<mdl0y+H}sqA4-=xW@wij7fN(km^^Nbl}cmd
z{8F|^3KT%Y<^^h?*2!6`RjU&kml=gG_`c_h=I&o3_bljD+k?;#9`Bn*ST|Z;qv7ZQ
zhENkdzYexeeT4N~SSL#z23K01Dv7d<5)`@evgKDi=;v#NzC|wFxN+^qxLo~R7;OZj
z?53zQGG>hsan5l&QCJ2KH1EGL4mq8*(DvMu-JZ=+MU$Iu4z=%^mr)uP&9G+qe)lcf
zCMMM%ZHjG@wT>0ygKmWf2iqF#vt|%>t@Ng&`XAx?Y3&DQmZ7XBX)&c5Rg$p?MXm@l
zA-H={*@Y7O;M1(%N<B~7lL5(;U9Sd;nl{Riezt+)_@ncQ#pFDhr><+wNs+vbis&_O
z{tE%zU!sqJnIDwN<}d0RtnfR-fwZ?756x&cx==<Rw=I|oz#F4Ln4jP&fZfNn);eCO
z%{tQj1Bsm^v=(qj3Tgnk<hmt886U_oAgv8V)zC8WUlPk0k~bh)p+1|*`<k{$_e8r?
zmrP3dS_jYI25!wm*M+PY68omgRxPTstt&WgyixZe2y~>k{&-@tre;c3t<><A*@lZI
zC#qhnWi_l~Q1yJPYWlSzq=O=rED`}GEc3mnVHZDKJTZA<asomidryLw)wh{bCr+Bx
z$rnFVtkmk&;`39L$ztV0lc$Q$Tc_&PlT%ZZlc!F=m7#nY$KpSJ=Kwn8Qh6uM3Y+fB
zdeaGGvHhfy1L7|}yy#^giw~!8KearW$C%&m^vo~Ihth-{av1xivMrS2Pb>e^_i<mb
z69O(PUamBo=yjoxQ9&sZVTz{i3@!acRB4_DKoyEeX}Wo4-Ls5Dxw+u{bu`c`={9fR
z;r)c>=54&}kqZ7BJsM18ZW13z3Cv%kpOt0>AKAHO=g}Y(FlHdCmd@i_AzvzGy=25L
zgyU?Y8Z1xDS8dO0QPKG}=xqtl^5eN$y{y{7n-YCj&q_8}ML|iK@!Qs)=H9Hve2<}#
z-6_pC@$i1D5#Lu*`#aRybWOCR_SY!gS5gz}lSoH|_J!t8qj>Yv_}_g5v>s7lNExlC
zl`Ee~3l#C}ZHvuEHE7t?5T+t&bYbSra#=uJ+e|y8XvK-o!>2?tLe+vW(z2GVma@6*
zbgO!Ko6kLp^%!mD>0@BwOc9jN?KnaCxd%m1Ud9BsO;An~l!hZHFLM8z5tM~B6qCYx
zLRO@(Uyv`#;abO<8B6?^P@|#tc6_+G*iuP2Br%Q5d;Ap+j7|qaXpV~&^4w-HZQQ+=
zF9~m{YQ7|@j*qLNue+d8>1xKTXzTv9%d)qgMleeD%_Me6VSq%mg&HvVYb`d$(k5tl
zBscre)nUlO2TzmzH-^_C+cxUMJ;PoW5{oUjMp7{wH30+|zD-y;<$E&fvQIbZ9wuM6
z?w}5QHke}K8JZE}K}e2#TA)38Ty5sE?0x2Lo?0xYn#oTaH~q-E$7@n^f=<iSG=Ln^
z(weFOdOhhh1J2Z77RTtv*wT7ns^*jKdz(L(%<ulqQ*~-y*)n#Ka2E+FexmSwK|;-&
zSoB!vN4JL)J#Gy`y|w6Z2BrIo9)glT9HPgsrbUm10Fuv5kUecgg+W6&i<sKO;sCdm
zbRvQBwW2n>Tx;rEYO&e%Eu2%J4P-M9jHxME5M~A@&=6u)YzJ;Ln{2h9j)G*Cj5%0d
zIe=!xNf}kt5bhVrBfC$;BsQ-IRv?DT78o*cnU$zz`pP;2SBC@oO)*5o3&@Hu`37cN
zgDp5|l9)+7a@qTD!m7V^+(2j$;G&pG-@#F<ptR%*<M4tzmeoO<7zqaqC>d=R{NE?=
zYl6}I6z%ZQ=1<YbmWA2h*l}U@D-TMT{bfvW+rsRZ2ui~Vv%kRoZz{}wbnl)$&%zkl
z0?pC;4yH_SR~9E(wiABnTn@6D0XeXoh_z)YDi!4CxbXet^Z85JCW)+(2$>Ke(MgJU
zlu(O(O@izN5Uv-O_(6*7B@Y9ROH7rbF{3K`?Zt=}$EZ6D*9?QPB{4Mebjc1%5RoB`
z7VvX%Ogt--ISFzWcS}W6U1y4O!z_iTOUp53O3G(cj9Y~zK>`bN>D1ULanVP&g}Y<t
zn2L@~s}aHjcU=pgc$^vyUd=NE@K|;Md6tIkTjcyUl75nfOGi|yQAnwITMNj50OjpC
z7N|T?Xz&-kp7O0SpvXlPD27TDXQ9@MCOEdVIGI|kbZrILMFKxcEmC<Z&7V_COG5fz
zJh3E~kSmvK^<Ge?8$GU|J+nAQvHD{G?Ny5D1<qt3sv1ME4c3j^kAf!^#-xy6T5)Qj
zjry>wYe{`~hwbh#)=PJHSg^x8OiLB4hJ2+T#~n@$`SKuqSF0ia5~cg9A%X`#9BRma
zdQgJS*ZYBe%Wi-{04^eD*0}+=|4jv*Qz-VV!4_O;m4ZaViU<W}X>*+A!|KEFEy{ib
z)&bYSbs6+>O;j$BwJlSO_(1`tChd?{^-IhPouF*Fte(L5bkS@D)^ROk5YyIwc~}Tb
zgO^5-45DHNFYo#AYHy)D+}2jZ^Vhag#dc1VZLjS$EZ2epw}q-;>sIKrt$tM?-6)u6
zmqZFM%G}qpE~u3fx5S#25Xp&nJ6=S9yReB&t6BLj4iTE>cX0^O7hA@mEVKGvKdLz#
zv--P1Xs2dYe~r?8nbp^LL=OkE`c~Rz7XQiR-m_>#uGOw)cR{EQ4xJ|>mm=1D{)ED#
z*~&x*_b7N8AvHb>WVdcy#s6`d3=Pp2cwv~B!d=k;4T1IxV${MBlUwc`*IRM<e9l_O
zsd8{R=sZ+ob`uhPhb@imY%n;bYO@-RU^v7qDV0-&Wxb>3q*1&19Lx#is-%xCTX+7~
zj$3!Wn-05(Q=xE0!js~4ty`xK@&0JS!iBYhbW3p>Y2#QuihbK4R&VrH`Z%M+Q{6Hj
z);Jb#TquF_MFHpYTY@vi>z&axI9~7XG3Fs6w|knI-Al)Jb--Tyt+P1kh0|WW{&R8E
zf^}<Ho5Z<LVf^lYFjV^5(^d;%Suo(hr$|6}=-CEBCI_4WZW|U3?Xv~wg6pHU_z9_k
zUH4>hV4E;mocSz>SwR%CI7rH&_>Q}bU=XK)SUnjFNVatu#79J@fuoA5S<$sJE&q^B
zIzh!Hfr^V7u?9K7ETa=<58<@CMy8#?#iPK*2NUqLiYac}q#F^OhBN8<-2bMU&OhEy
znhx}W8q=>Fp+6+%{4Dq!&Mp)$pPx2PPszWM`of>3*UV*e7F(!fEt_ueN@%aOt(Op7
zVElyfy4F|nAYK-<7~dgFmvJU)7$+ttKLq#F^hx~pf>E4&VRF(aTt9zvd|lm(2$G#P
zR!XIy?S%F#9M<oyQF#BlqBp&1qv_f107d7q=3wvB#*GWp#+kF{*0nVYt)lo*Fn;*=
zr;Vx7<hl}Y!_!VL-bCaEj*5b*ParP9aX(_v*+OV{Gf_}9gR0})zp4+Q;Y@k)f?M_I
zVC%H;Ld6N!m0u_dD9jTGjw4jVUo&o(jMEd>W-iR#xHdO&?bgiPnTd0AGdC`ryL|of
zg}Iya^lN^8_VUe3>(^tUNT8Cfy#|PF-qdUNZK_(GHu{XXa-ZiHInEkY#Ndp=95Q2E
z_i+r5VwY><uOop1PKSh6JLuEuHQ&Lx4>|VYe4i2*(as#K<0!*JUe`gX69B^NYMy~#
z^Rj^eEgw8$#aN+(Bp~2ckvW78)%NPh3t*M{G(fA;=W&t##IVhlq4pF#TsH)<$VO&i
z)`OPdGYz#0+o@*4+llQIA%1-d$8W^0IypW0f^mIzUGuc&^q0k=b;b17;KGL39qUS6
zGI1P-jz%Jw(WmqaYlz5!Q`NT`_^r4hb{3%7vR(#g8xiOUV2T*}wgtQwUwbHp6OK_H
z9;4zk!0!Pt3VT0}gWr5C6IGB(ht_4ySn;A3qT*>75C&?TxPe|bcx~2=m$95@zV6l3
ziIc_WKlI_^3#VSBT~2XV;Nn1pkmM1X3R6Vr1f2H)pLHA#6~`(GMTBp_S9Fto4LAfw
z*?f*I>=M^q;<_oF-X*T$9Lz3pWtyAcC9W{Lq+)zvWS2szB(7SUU`Nj9`^nkE*~Wf$
z5NTW6#y)}4eQjex^4_v-EURn}8_J$-W%l{3uKn?|Ybu5|t6od9g%Ep`u}mI#BZ=0m
z;>5HFVP`wldM#Vosvcw)dgYtHO-nV}{4M&}s_AI<#huq9Uw&YE<bT8zx2;G12ZGaZ
zdgPyS|C{NN@oz~%NO)VI^O@3eqoUAdkb4?&M40<#0pt{Gq)`w~9c2ZhU>@0NCZ;<R
zr!7$#)yQ>|s;pzM72f{fPC)MpriXvq4_}6(hu<6oYcxIl&nVrO9tsS4IOySAmLC2(
zoCPXH9NGOzqSv@q<P$s6b<j&LJ!FoNvA8|tas?hQO(|PQOQ7^2M3y0y0$$EtxB<l!
zYHH26KuP4*j2l+fYlw_K<A}yBHA=@-{=6DR^uk<uZcQ5xf51kq@w53O`<QCKn?ANo
zwdZ%9YJcp3QSB3$;<l;w1i@)Is(qaM-;8Q6oP`@NQFs&bNPB_t7*=qc8(@DI(yS2c
z$4}_U^N7x*&4N5i$nv1J4k5OzQ2@3>hem!hnSYVg^yC*4?(v+W-!Pb!DMN2ND6rx1
zt}&L$tcI{fJQAIiMGs@sV;B*I-@&$DroonZzaryAqiwE^P1B(r<DPLZ#|+_Z<T7Kg
zyWnhs<BZMp|GTc)SpWCj1SZNsoD}q!tWBU;mkxZCUERG$CxXV*=`RwR(@~Gy#9}(^
z5$BIc<&f3MDmBdCn2vbZ#U>$;AXU!J$t*v7*rfRd%QIK{QPSb$nM;GvQ!URtkJ5eR
z89`eg4tb`Nm1q9>CAOFnWtQT1I;w%rMTSlt;zZxfx<Q1qKjP>Q$5lZPVe_|+dH_}<
zF_hs#a*;6*9m=X=xKX<Tga?(vflN`S$KCnRjZ5QLGbE%KZTj@FWtk+}d70!cRy4t_
ztdD<#K!nk>VzsqU1aj+d5Q^~3&2_1g*&#At^-UyGRQl6q#S)1Bf`E8;OAx1UgwN|5
z6pk?aDZ>3>;t_h<`KOsZw6I?ux>FlSrjF!<jF8xQ?tz%Q$Tw>uUnDa3$+XZc(jZ;m
zSqq|nl6IPQhDeUhCmsl-N-t0yVQZPZa*&2Z%c3nAM<9JtGB$`?A$JO~c~n5EB1j7r
z-&%$~!HJRs<fTl~CUfvA&jFp(F<t~UR&ALv7m*Q2FN$6f8KH-u)Qw$$C=e$}Xqvw+
zaQN3WMs6jJAttJ!kZ@;k_~(Jc4<?S`4>84UYchX8a2igN`91D`Q%$A;O@`Jfu|Ex+
zyM>xSOPsc4aWQ}G`i0BqKb${q<S)<7-$WoFeVxB>=Ek{8<@uX8F3-K1Us^(X7n#|G
zJc!5<fV8hX95O1X&CXd2DBT#gT8_(<K|&o59Zr@`pb6@^UJ|^sP>0cVW@;RvqbOcR
zvRZ4kP(!HU3@J9qF@qtN#fGL@i_>J_Dohzg(Yt7Q-1s0&5pJPYA0NjUxe5({Yiw3w
zdWq(uXa>_bae09tPJ$2#X@JBAL9B94ovu<rUP+N2(pm*w3~=a)`sN~*Uk>27t&Pd!
ze<(@H8PcoVr&vy@i8Sm^i3gNERVZ5(nj`fylfXvA%~OA6bU+C!XY%WZk{87UNt}T*
zo%JG_Y(k8BM&UtDt2?_Ww;2ZQqTEiQoR*$gC;F>?G<i6k=)Vp^nYB*z$0(iXMDddr
z(%!BWDPKRLo$7EA;YONN`b|N*6KQt9q)v)8635{CO?E=c`;Cm07gujWM`BU}neM8j
zYm|$?M#v^CN^Eu|J?cCNN)jUua*l9svi-98E3wL`R8K@EiNKIZrbOenr7w*k&BF-k
zgMcwYA6wRFeskw#liz+|vdIT9#cj(b&k~%5lT8fne^c4SfJQ;-oY-?Em?vSD<XeWv
z(TM7}l0FFr48kGrB)(j~Nb@fiQZ!!`Ex}kSo5m?9dB91qPIc6Q4?&eFl^ybBh%;(4
zvY_gPjiz)4pGKNOa~%suqoBRO*`0Up)YLAl1~_4+_d0Wfm;3F4;kd!+LH2^?1_hK(
zxIv2Ui+%BM(EUHk(*2L0p=-uqty)1AFHmzj7(giAmlbfrTz)N*|KVt(K{BLJz7cy!
za;(~Hn%qCgF7(PbZCa|)W}QB^Oy$42^Hl!N9~hPYG^V(1D*s7>({NP&9{0Z~l|QvH
zm8TGUAPdt^!XZVO6~Prpg11KRrAh;W-%r2#0i^!BFa)EPOm&-QMt`~At{ILid})xq
zqq)LoP`WQy5c}xi;0pf()G8TCER5IbMEphCs6}PtPO|bpBkUn*`7Lb`-tf?$uvl+k
zYJcxdc_zfTiokj{5SvOlQOd-IWfJ!AXS8Oc&9BnO!0dsH?0=$bu#x>6#6E{HviG#}
z?JOJq%gZ?5h)l>CW4I~vdZq!&7IZSfBMSnX()i2_j9P#X@o!ul0)0&IaFI0>R<;S4
z!f_;rLJsso(S1%0Slu~%ad<m9WqDQ#p1KjBic8?wbY87SFxn-7I`8mVCfN2j0^9zl
z#+|L0!~YKnBMM!12HXDc0~1CbJ+K49$UhLAh7(5qAF9ICzeyhR1q%3N4UJ8v=b@_&
zZ4OtNxTv|U*~CQ>W8_w(swx3G+n%}2`&hP1ZL3AuHe?cY9QLEUmYlk6>bNnvWEeQF
z$Qie0@O#;8;b_s!Bzd3tcoFBDP?b}i;hGnm)k9d4Kc0h;M(E7cs_X}mF{Q|L-i)lm
zcq#PAorgid0M2J46E$4XV`F7PC=Gn28kBXSMr4}LTB`~4(!A6Y37a&DASUK2)RMIB
zqhE>%l!w5XiV5n5PT-Fh2|Kk(K1Y#43=;xFGCPsPP8tK~I(0E?F%X^{pKwmndMftA
z<dyxC9^xO@vpl#e<wbdv!I_qq06_i?u`(q*owq_h7%iSCS83KwN;ln!am)PDC<gip
zg6^;QxTK3G&MpKROu8kSJ7N!lR7XVWg|lSEa&ToI!f+_03>OM>p42+!(V;8TJlqC@
zDWw>RoT*3jJI8QV`R;%p+$+-H)Sa-fI-{^<64~R{^sg!W0w&T0kaRyI`*vpF)45OD
z9(lNqKN6>doZk%2M8a{KnaK<%0n(m_-QBH;lDKK1w7a`^clQtc?$+`YoAut?Ptq7p
zfqM^{+Em`q3fw-F?yJBF*&|V#26X2r(T+wiygMh`%IrUS6p~_+MC665`g(AYpkLec
zh_<T;eVGlKu6z^mFZ!;>q3i24Yn~?{k2cTJ$G{qwN^SAXqdP7GKL-dsn2?Y%rnqf`
z-0K9V;bh>CasQjjz!pM6L~L{Z?)21$gL?+ucvp2OtAjz}6{&K@#VK)R8ji+C9ZK}3
zug}Qm5g<*H6$BBwNLOg5N-|h1PAwsItPrt!y16_3eCcEz{n20YBl$*8Unou1le;>o
zj{&3w(c~uo&qy$GoQu@K(qbO2907s+(%aD;dIOZ-p1$gGCEuRj0*NiDYc_Tfj&7jd
zMYv72=LWAg+PP_j(_Duoh1GuacsNNR8iXoqNx?+vzLJ8V&<}^Ca55t)EYMxCm-z-x
z<muCHKd99r!<aq}i1Z^u-~4goCKOAdeJeqN5|fClhlqzHHb&7Ni5#Y~1<K1TIQ~{E
z>~zB@3=HrGvDpIGQ3w?p?s&TGf*MSfrE3^OE-}@r!MA+Eq<Mv|t{~Qg_&`)c01G7*
zG=hwol6Y9J#gmnFHkjaoUQ9v7D2mJ~NNwh|U{&R;E+QTg&7zA6lzOPs5)R7cxeHWe
zuR{#u4gpo~?&iOy?Ks-}SM;%Enex=m%aku+FD1J=*1m|M@>dkiJ~tV^cfGYm-YtWG
zv5jsto@MXD1`d<ad2^X}8&LBq9IX6ZS?H9<WaB~!uzz0w`**hlY;u|WdtHNFCg+LZ
z4C6BCY3H>J;fh}-GIUi&s*y*;G6M(1qN3su$d)FY%qtGXDBxsH0QU$ono@wC+N;}d
zCxO_15fJ+eJ^!tk{jU*vswwXb#BKp%4@Twr4yL$mmFIsGoQ6|*zRmq_rt-w!dlo0k
zgNT?D<;F^)Rzw)~{erXGYbu1SZ%}snHCe>vrqgT>8CsN)l)5d49)hidJB55w5f=`k
zqS~T;YLX#d+_@@Id?RbQ4&_dFptk!DH4OCLWWn(0!9G|!oM3nuO>K(1S}^=B(6z5%
zDDXI8Ap@F_6q(qb2`SskY(2}&B%3Hg%qdDl?aR$Zf#Ztj5WN*VM{a<P*%@<&4cOWH
z&qhuw%fym<;$KBH8ra;ejzaVSOKX&9o~1P$ZN5Su14|Rc;AV6UW^k=x8C*|0ewM-g
z(wP9s0dYbVoQphMe#^0Zk#|EvmxNo&0qQ#xpv~4i-=cKc?GEa=p*)qUZnGmYL+^02
z0N(K>zF?MB2)rbDlQ@e543>|CA1;zlDp5Q|oNz@^$I39zhkA_3N`FkO^liOvTVc#A
z#F*7m4at~Qb+KV*?>#Wa9Ab*wX3TFAoQ7k}F899~V_xXM9}ig!=0yXZ$C}s9agYnC
zeJX}pT+@pq)+L>RMrO3Ax^7wMpRx&&UH6>I%XO7*mOkgYvtG?=ZPYMzS4Mxh95*1c
zm1%CCFC(EwVI`G?JnX;JbHusm7dhc51>f#J4qR_?{ml9NG%}OsZ_QnqyLNjnKMjX{
z{wBiC%gp5S(<eAaG3gDhrMgQEgKpnQ_ns}7enU=sMJ@)HDSA?oq<e<NR8KlvjMt>V
z|Ifb247HH?#d1*9wyJkTAQEKwDibMqjw=pbVM#jniiJ}sM2K|HLj9&k+@G2va0N}3
z6`c|h3*y=tSSIMCzl`8lo^afXtiR6O<#TRy8?o+ZY+5`dBh?u4r~n1s2CgYX8stfN
zF7BQ%9FOrpwopC;hfF=OCHU$+3q6USr5n6a3R5CW$-Ue?J!#BJrHe^sldL;VVzxR3
z?JeKkd%JrN1kXd@4|I^-z30Cjdr!+Etcd)xeq4GuMdWjX@M^7yETeQ^MMUuJEh{2f
zxn|fTo!M4q|4l{?UU&(9%bQYk6=E%mt}NB2<X0TDrWD+c3u81+n-gm|i!iKN5&~Gb
zrC-+tvxjMjjKG?G@Ow@3AvVLH+d)cvTv$Pu*vwKgZ^x~BN@lLJ>VXR|kn2k%s~7QK
zbkj{DeJcr?nLDh+0ksHUt8}}+QS+)13HTf&Wt_IduoFyAOjON|6PhhdwbX#&Dyozm
zZz3%jz4S)8Trw`Z$Wqa6Bhk9h3C=^9Ne*Uukn)iRJo0g+Xv?YilqFwg?%>m$Fz^TT
zyMO8%SkNmt7L>k%gw%ueIaS!QR&(me+mDGDbokAnxI&oX;Z%?=8mKXFggIn+b6iS~
z2G}EQnqc8FW14=1R3DTu5Z&dp+$YipqRm?Y<UyW?3V)XV0wv)9x>!^P7hYo}2xef7
zfiU$I>|^ntzZ3B&NyG6DogdV%-y|xR($VcF$3NA**Dcul<C$&kBV{}|lG%(YkoLU5
zSpHqlSWMfXk>ru${yF^n0R9#5?}JO-cpv44>Nfv?YLw#ffp>TphX?H^<h-GB9$P5F
zO}D$}#gT`>_Ppk}yRb_g7a0t8eRf<{G)QAP;i`(;`n8?6m3$e}K+<`vt$c|wQk+c!
z-7gB8U=cRK<b=}uD~S<Nu?aRd5ch8gBVt4q<ff(R)a+5aF6fQ6@TJBuj%!CKkLR)_
zGLW4|Of|FiBJsoYv8mKJ#uHXcj7j>}NgiM(N~4j(TR)b)$ylz8q`|R{;v5h>ziYo5
zzss!z9b5vkiex#}R#daf)gb78mge_Jd=#PG#Inn>{9OE)dO`-i?p%Bbtdj!PgKqpJ
z5y#MJ1tkEEF8Zl;;{zY%lLp-{bR{Kr=Hd~$v=k|PJRkK(FiV&=aK#vY92VV_(e@qu
z%*mgT-@>mWp;s+e%<3I_i|+PgT>e@&eyZ+yA&w_osh3wCiI0#Rg&ce3RT3JIVIw|@
zvja}249SbcsQ^vBS3I#=7C$Kyh|5(3ItCWKJ|ZjV2aiGJhcQYRn7UUUjdQly(m(ej
zv&X6fSV2^a0##^#yuW5uq6XSKx+0FJQ5qi0Y~#rYe7seQCe{6He3Zo=++izZ#cn(j
zh4td8V&F8o@o4sC+46nQFT(~~Yr!2%!n%(O^t$omGTm#^%6@L88^5pTO-~ceV}~I0
z9~JGcuRWT5(Nj5og60qaP&Po+!koJCkroWZ5pKf*#B2EdsO5I!rxDslNoQ*oBu^w(
ztU3(o130u%$20*Erv_V_Rd-gq_JR1Q8Nn@<Jc=K6fK*3nQM*&thzG#(12#*$5c$x|
z<NQQ;(6Ri<qfTH&HLtwdCX{-@T7`MV0_MY@Eo(BCRKxNzA|3^bK2Cl)I%R^1$Wb0t
z8v+~XF-!&*+PN&BqtPR>SeeA!pbP$fjJ}~0h^2hcLEch~B|q$&E9%l>LeVE_S4ra$
zb^-3L>b|z;ufDTCKH9N5h@oTw8g@u@^B6s;Kyoe9_J|E7HLR?xlsap;5z{Sseq*9$
zEl;3iFwu?QO*MEZsDV5daB^esb>l;LUVQ)L^MLG8zh3R>hMpwdjH+%z&%;J{tgz1A
z*kQYcE=EGLf?ZS#?e3LB@%w<2Z6qF++fxr8Cp`#5-in_H)}Ys{mTjkDx9|`6yAK)-
z(ETyQ;$Wk_8DU?88pTiZZ}GF-@(>;=K>I!|{fqquC^HCA`wqzUTR;sDG&cnN1s!+`
z*yB}6OG^mDQ$#9|%P(8*2@Cl-YuKx6=*zaO5Ustt3g6Y8GH2^7%M719zP*;a+=XHr
z9}*-2dlKk{@FE8YAC{5T8CgLX8J?u1f#?a85@%kJEh~V88Xp23;S15a_IHE$sZ1Hp
z9GWfEoWo`fsI$6$dw_OLjaxfN55@O_ecFDp`E63@6V_5B)>0IqTNp*cj}&WZei4FX
z{PYS^B^I54S(SeE5{&Y3>IP5I81}5X!L#|Zl<z2$T62AwKg5Z=SR4yZH!qm9OcdE|
z{tkIWbs!8<%L@VurmlxGO;eNJMfO5U?_#>l-%uIN;gdIsNFX?T5hxSIBLqEGPg!?3
z{aFUz9K&R;Nz<R>Db6)%5_3Grxh9Qcu1P)3MRuM<{TJ<%%>}HJU2lGjK7OV7aeOp?
z5uj}@(l@$wr1?61`#d1lT%vCju;2VA^o{(k%`$x>!$%Y!NpB=x<|9>D02qz1^x_H8
zOI1#wTlxuYZGMW4*RFUiy*K&cyLuk#(j%D`M^vv|>8VWnoW7h0*}Hq&l5h6JIZ*Q|
z3?rbp-S{w$DYk@A1de|2oP7QT0RA)G8=yxpRD;4Hb1q%0C_2<cJ@fdme#~3%uo7lk
TUV}(*u10)El4uf>U@!UqtbZ*}

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/merge_profile_list.doctree b/docs/0.10.5/doctrees/merge_profile_list.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..943bd89b1b46313838d64524d3d3cec848a64089
GIT binary patch
literal 11848
zcmeHNU5wpE72f>p-_7nO**06+Zd$8Avq9N=n<fu!XbPomny~2-rKK%|;PtiV?%3;V
z8+*JzR8<2~MS@1CQr!oHia-@SP<W?^ABn$5c;OAiPb*##5&|J4RK7Fz`1;=cUpB3T
zSS7mlc;=j$Gv|Eg%$ako|JAegKJ_OLCJ}do<+|lKLFlj~lS58ur)?I9?3L{J7qS<!
zDLEWlOG%i<Hp^rmdf43cotOpLReT(y{=)T>dO=_~vSMpKwjy3q;Qcb4d&Xr;hTv{u
z1fgKfFkCRgz<9zH=hLR~5Emj!&NLeHuHb32ZinrLZAGrI{4ijRIBmLi7&Ju8Sfg#Z
zK||9>8f_NOGc$_Amg_UqcN0+$n!Xz>JUnM+d=PWw!&m}qF-#dt(97cee2hNh>;9+N
zGObrmZZyg4rA)~KtJ%1p9DoQ&f_z*Ko25MYJ~>c`aaQif3|TgtHZ57Rgoxc{Dj<Fm
z_deH2AX+(S`&N>m5zqaB)y|)WoHXjZG%b4pOH+OJQ}bqPkOSzR#%?B`x(OoBQaLEB
zc{LG!h)?p7v<dkR2n&1E(I`mpnVYlaYQwn!G4gvLw#h{(-83oPv{snuFqqDjEVK9r
zu>JSyeyf$U>^FseA3{GZJl;t8ef*@Xm1^Z=Gkfy&vXZ?f&x_$SrpE7*=Ng|(Se!JT
zeD>4#KX|GE)%B8wV+pHJ;<y2wNgBDXtgqi0zk6mcc<$pz`98?GPmXeTp8NPOd@Go*
zYWjfEbS;<Oi9s8wzuX_d*r05!kZk>iJV;6k!SR?SJoKIH%R}$ve=pKn&THoUF8%~2
zvqx?AAZ)h_KVWE^upeG-`)88KB7hl+z>LL<EF%`r_OKYpStQIBZWyduA(?u=aD`tr
zb2;%OL4<J;&|riu<5CV4Nv<ms>wYfHowqTI1(GtqYnI<lM!Vr2yXfA^yDPa2W6}q5
zEQRL(_G!XE{IddsEnDr#XEZCz2!M|YNewrEE;6I45(f6faIk_LDI9}f&kg2jXrVSn
z*z_Qmq;4n<zz*Peq9~=1D6vG(Mc1KWmO)6l#%M!?`4GZ%qm>3q(u%!iY5BhDQt$<f
z5Z29ET-PG~pI&1}FP_InuWVf}VEalR4ru*=UOcDuViOzTO>S$0sOr{X&|uv(rnsjY
z<lu#N6vm>|_42*5h*vS2SGK+gQtp>4%6(gxa-Y7)#9P<CnivTnUl`35!&MU?l_Ql7
zn9Y*JidPI+`+_yklDDpXTWihE26tBSI;Qr`t*=CH$L)GWJKT<{H0}lsL>q`z1fmoc
zuYpi~a(@{3E33X>+^Fvg7F)jA^h0~0(nIdQVq86=<&?j4);)j){Ja;G5QM~GI}-46
z@Nn7%$st1e6oS`iuNCX3Ao3GZ&|X4a!}qi0D8^7O+P(tlA7R)J(xw~=nt3Rh$&p79
zNj?%YYZkwiMHCwTGp(G@y|JgSFINvEOlrkbvQj>JNf^|0dt?QU1<(YDIl4`-APM7^
zA1+b5Xw_;WUO7`U@CP#W$P&En2EaZsb>9i&SiOGixcXSI>cUqLa3b}!1-W%$Z@mDz
z7$kGw5t{{2E9F*L+#Q0}*s{$cVO&rh9*^TN&gb<mu&%w|h*>*aWN<GcwjdY759i@5
zYNADfHN;Y1JXz1%=IaR)<|2!mVd9FFsWrPie);kzE*~${@BiDTP8u<(+-_>jP209^
zpm@92zGck~qEwhTvRLbb#gH4V2p$HfvMONwaZ|w1D8zq>!;f%S9A`JkkNrN!jqYH1
zN)851H5-K5IK)|r$XFGBXyo@XvI4n?#&+aHD<ozfNSmFBbbMy#d@z`sZ36jJVtEHM
zsrq7ag&X+dJD*}Ajg%XF48cC)KS#%+v4-{y`;;5$-2vp}livI2XFFl3ccdJlB9Vu8
zCcIuUkAX}lz&)eF&mu%OaBx`4gV3gxxOO$<rGP+5;!=UCW&HTxkmyM1WG<yfx#q0|
z?>Z{D0QqWZVR^&yAPW#r$ChA@$}+6-Y%0${QMCy#-mZL>^$P*wp+LA8jL7>^?#jsh
zv|^mujU^;K3@2^3SCrq$m7x@<ca9c7nTm;RQ|bsq5t;PP??@Ok5XNH|*^3=Lw&{J0
zs84zyDVdO#!9u-9(W3pn{LCesO_UvUL{OYM=H|36%*`nSf%`5cCze7ZVU%8i7_}$H
zQ7R}-Gd23_5uSYZCNWcdrm!V<tk0m5G1{mXBxaTp%XJj`Hdq9MRYe-9%12|ykQP~o
z9YU>1&+DPN;i1*z)H|OD)O|vp+_v~T>~}JF4Iy+exi?`!en1=QMU1?H$?sG**XJUK
z$mGRJgkX69T8A7Y9+01Cxyu<JfI~}L^eFe#DHit5<|5RnQJnT>b_ZiGgUp-Sgz`{&
zivPH~ftRuMrUwS^^|eIy>-7!`{5KW1?|p+7y0xPM{~hfWP6^&?iXs2Qx>HUa<E-)g
zF+2269y?=PIeEgk|0<$(yx&jnr%o8Buf9-oTIdxyb#ff%2tB6=M9w<LYc++vVN2(N
z6Lh@dM0IT*Q%>vn350B24M5c#S>Ge>B|s~a{oz`h@|X2CMXni?d2eoIcXV9leG9!;
zg=WQOb(_W%f5+=X@3kVb(pBb4zr&!chsw-nq4T91l=nVuEs*>4>FU4|%7OGGv8vgG
zt#&VW!22@^Zqj?3ezqJ{X&ACGQd|D+SiHN-7T>pb4UpWT#s8aRvR#Y+7Y1Ps>s$Px
zUW?VnxcWo6OUh1eUu!AbwUY@D*>p{%o$N*L)pn9E@x8VaT#t38AoDW>ZavsEf#fuz
z&1sE+l{=3+aqusWBZQ#J-Rq!g<8uz38a6oR9KD<dMxJuV1>ePWvhJJoD)-xalD28m
zo1vdATP3oT-uZHbI_oTB)*UeU=q!>(evz!C#5P+KPY_%pGPR7kxdbUp+%Faqnwu-*
zzxwtlRidQrj>MWiRjw(I6FnC;rah`0UuT*K=f=9{-<gH7r)Ce?Erp6Sm#X4z6r_E=
zvLD!o9b~<GxAPjv>}EXll3GpA!ncTyUnKEu7ad<z3^zc>bKP5pXh!L&RzY<Lo$5u<
zv%L*EZ6|k&Txpp~bH2Wo*tUzrU)zfON+kXgdap*}T$~*kByHR<V(Es5oklF(RAz2;
zfz0Vgkm9j9vr+1h<^jvxTs>xVC4=)V(2-Ig`8MkVZJy<)gXQ?@(H*m0^DB((7bMCG
zOm+jrfeL%=YX^%7b!e-N{Z$X49?PiQDbUfUI6V?~NMJ(Vw%+1O?ODIe8ms8u)}E|G
zc@q4}u7gar%OLX)C7&KqZV_buMjNtSkojxAA?t@=w{?R|p$k(bYOMRc+(@M@2luTJ
zTW%KyMnGiK6_zmYPb_UU4CD*$)|Yo5241WBMM<H~v<ir*_=EzY>9D0kGRi6IGL)k+
zBBwkU0X7hlS1#x`Nj@XI>8!e_Y1oL@M9yb(CaS!IwgnX)sAT9c(bLu`aco9jB*veR
zx9aOa(+zAtb(m=<Np_ub0ej?_oyJrjWtP=YBf2H8ijqT!O$7oj)T13P>&tL27vRRv
zK@R2_%TG}bRhDwOvvPQz;l9-pVVvOw5iLXFupQy$K+XpKGFZTCt$0miA8(@~v`wm_
zqOV}rk9ox_nH+D0p`e<f%Ey^Ka+K2AND7(DsK;od<_CclN-`p|D0)di^3J@4`Hae7
z5|gsKrmp1z$6`QH+%+pla))60Y?1ld%wAdJmM`>czdX#AUC2sUB27B2{SIrU^I$i&
zWW@nwg&w%UX`^Krw|+LGMP=9JSbn>M(zlQbKQcL-iq`Z4(}|1c$?lIPu4ls7<Tx?-
zxVt9nid|b|@*vz7-4S)D^eZZvJlgZ6hlJ<BrsY^pclGGW?hieK<sn)_0zshwDe_f$
z(5Sw@hQx8ZEcc=eQQi_WJB%IEVG;BLY+NYEtQ^2Kd<)BjL|g}9lg`_XS*ZxkPLtg0
zLa9cPfRD^l@gP{$fCB)F1Is6Z2UQEC8zi*-ou(*ZsS}zgV?wV(xFZh}2F>q`R9a%=
zqSeJMt5VT}CaQU?CXN*4EC;ngz<@@um;@$ZsX8ZUP0`JyDo0iBH=*hs^XqNYLSb)+
znu9GrfO^gH6)Jj|tO}YF%tH}<x9y7T<9&bnd%qluSY(zZY_yyaYQaSfGs!%pp=$(}
zmX_-I1z<gl=Nk@NY@lb-$m9_kp{9ZnCN4g(Q9{*mv1s~(_nn4h$KsaV!-iTqY$i1u
z5r!xvbs27<i49d5fW@$|ny?~A@N8yC9)(V}&C)!}>6>{0*$sIpSwZ#1vRM|xp<V%1
zq)_*fq>ZW+^K&We8fYYMQSbSyiINMe5baT$Bi(Cb`*M53Rw@x<^g<e;Fpi2|Rhe0V
z12>>Oq3s4O=zs=>ae|5@ZFcuN#M(_<ASGf2yf{Nq<PCYm_CssIWGHO)O;qBd0FKH&
zugiTbSfm<JIg~>LY!d3_2967b7iL~nsg&U`7(rbG$`YUo4poG{01)eH&8tSy3~H_N
zg-RN!;1unH)R;d{@rU?>-lJr^xucjSM?r3@H~=S^H;$vHEN@1=$H^b(Nd=XAprnGz
zJ(NiW@54looZPf>KI9Eokxk_=O@p%TsvMR-bY0D3R`HuvY-Sau*_7Wyg`N-cQ{Hzd
zbZB{R(9g@>ck!c=ao+dniDL9rj#gDht#{N$eX$Z4WRSNIGU$G}V5=>p#Htl4)^3J=
zsfDWX)}F?)_iz`*Va-(y8t<YHkdFm<l_R~hiZ6Y*t#<$gDPc<{4<I@2Llv;;@LhwC
z7VWQKH($yw!}4%h23tlMU_!N4R7pHu!dF-GfwEaC*#YggQ6)m7Y7QZ60Y-GbK#lf)
E0QIoi5dZ)H

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/modules.doctree b/docs/0.10.5/doctrees/modules.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..010c65c353e5fee503739f8d014282cdfbd82ab0
GIT binary patch
literal 2668
zcmZWr&2Jnv6i=IM_9MHSk5Vp8fC^Q#qRFDdp>RUtMnnz>ii(6R@7TLG@z{gyNj8TH
zI25&#Z#91)e*|}ao|&EOE-Q_8{QUere((35=a0_cbg)(Z!oDkn)QdC9m^O^N7<$ZP
zWzMya@8Xj`<E!{M^ew%1rnDK4VGA0WkcwHZ<1aCcle(A6oi*pXj%QvP-5wVmu`9a2
z#K)o^I$nCkSGK~CQBMnNW>Rq*lOEJ|e&CDbe`EJ`tm1*edttYrh`>j282Y3QS!{>h
zCen+rqon5XqMXt&px#?KEj=<!8Es4EQuN(SQRg7Udq>l}e(SNaxLr(Xc4_%6>6D@C
z={#*ku`eEop*R-X;v_tu{OGuKlka}|`PrABPms>9ZnB!#1QEJP9oZx|tW?~cS%>gH
zIKNv?k#a9Hd0|S;R=}xo6I<|VGH>}RaLwL_$VNN_XdmNwgy$1HPw+el-Np~H1W;C1
zxm|2P`d6f3D0QYv##0GWmf~v~dO2M%UU(7DcYqQts*(cJxiZuEHtY(?7#Q$2jGEJ}
zpr^}x$}MN{d@Bs9f;*$t4Ri+}(rqlI_*6U-C*mnU*a4aoR7$KS6!x3EPp>U43h;xj
z=9tc(-c}*mL9uyjVk1?$#OQzW2D4;u0DIeYRjasAob{Mi18BJ>o~E;R!Z<5!VkK!g
zI9y6<E{2}t-b+14qaC)LGqXl}j?#zS7gUuf!m{<m{zd4|x#pI7V<Q$|6?dNI1r~d?
z8v@&xSPq(HX%$u@U`G;n(=Oa~67V-M9L<dJ+IYUQd44C1Qrn_(WHB=~kC2QVNK+8-
zGED;qlMiYMSG<ytYv~19b`U%^2bz`w)hsWJ^+fS2uHyOKFc4I=%T74t3kj?|^`%=X
zbwY>nX*q|x@iny?SV6;bnnTj}mS#L972kxh)J5qD*O_6^ilJZn+3E9BC-Hu~zDc;X
z#u7m_OJfFwLvERmVc(Q~-Abpj62r;H&V~u`dl=V7Zv$8!Jzn3~I2jI70uCq%;G>XG
z3?oJLyrgpuxEa=W(OTi2<(aXJpbtR~xJfO15q2}9XUGw7NJa{bCb@`WH;ifN4Y?JC
zyAq5Vu`(}6%Q~Q12_y(-HC4&rekB34+NIjxiVDX|X2>E>d^+HZ!Z=P=PgWGkJh_ri
z*8JQjOgcJMDUl}1?y?)i(=bFb4*aLhI2ko+WI21n`{@l%Fi(>X%A2e))O!!Zqg{fZ
zhpDAN8$AaLmCU7&-){Z$ZzqfkUJ$^78KkocvSE@;DWXrk5k3;$7w)Uc<of#hthn*Q
z=rd#I6UMJ5&~%d+?xzz~C^$hp&rv9k!t@|Nee~HEKz3|r*@l}Wxpi~AbmNV|{V2Jg
zRc?gO6<qW^ouY+Unz6lb0z&4b?aelP;)=wOx8cCuXipbJ$hlB>K;9i?67PpDr|7cZ
zN;I_tQ1_~Jy(G$Hv>xl>Boh?<gTmL%29zrZar&|>;3D1S)x2(o0ERmxQqRDF<y1II
zbHbI=b-e?Qk<ZYmH}EAm_po+9Q-)p=o>Qp^zAr4VZrV3to9nA|Er(t`AJCAXm()yx
z@Sb>T=N$6}SMnhofi4~&7@z`fsC0XWqcv%LQ9}%Cvv#qY+5&ex<lQ8!-^EMu!i9bk
z_?rS?y^7-Hg%c0)|3VC17_AndIz7rH=2LPHi?t;6*;20#b5&C7A$SxlpBmNHv{HR<
zL)dEf*DUszUaLb#YxXfOtxp5`{-&*F2e&S!K!%SAlsbmJ%qRt5kpr%Q?l+D69g=??
vzXy-;C56tww~xaBsvWk&U`@Q&imQ_CH8(#vHc!<Wur#ll)=qb5IX(LiS@9=&

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/nbsphinx/add_new_model_to_data_labeler.ipynb b/docs/0.10.5/doctrees/nbsphinx/add_new_model_to_data_labeler.ipynb
new file mode 100644
index 000000000..1495e6a85
--- /dev/null
+++ b/docs/0.10.5/doctrees/nbsphinx/add_new_model_to_data_labeler.ipynb
@@ -0,0 +1,488 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "228bb2a6",
+   "metadata": {},
+   "source": [
+    "# Adding new model to the existing DataLabeler pipeline"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "cab7a569",
+   "metadata": {},
+   "source": [
+    "Consider the case when we would like to explore different character-level neural network models and evaluate their performance on different datasets. The existing DataLabeler in the DataProfiler library already contains a preprocessor, a postprocessor, and a character-level CNN (Convolutional Neural Network) model that are combined to work on such data. All we need is to build additional model classes that inherit the main functionalities from the CNN model and also adapt the model construction to the desired architectures. In this example, we define such a new model to be used with the Data Labeler component of the Data Profiler. In particular, a character-level LSTM (Long Short-Term Memory) model is implemented, then integrated into the DataLabeler pipeline to be trained with a tabular dataset. The process includes the following steps:\n",
+    "\n",
+    "    - Build a new character-level LSTM model that inherits the CNN model\n",
+    "    - Load the DataLabeler from the DataProfiler\n",
+    "    - Swap the existing CNN model with the new LSTM model\n",
+    "    - Train the data labeler pipeline on a given dataset\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16624c48",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "sys.path.insert(0, '..')\n",
+    "import dataprofiler as dp"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "e90728ab",
+   "metadata": {},
+   "source": [
+    "## Dataset"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "3d61981c",
+   "metadata": {},
+   "source": [
+    "In this example, we use a structured dataset, the aws honeypot dataset, given in the test folder of the library. This dataset is first read by the Data Reader class of the Data Profiler, then split into training and test data to be used in the next sections."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f031fe06",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data\n",
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\")\n",
+    "df_data = data.data\n",
+    "\n",
+    "# split data to training and test set\n",
+    "split_ratio = 0.2\n",
+    "df_data = df_data.sample(frac=1).reset_index(drop=True)\n",
+    "data_train = df_data[:int((1 - split_ratio) * len(df_data))]\n",
+    "data_test = df_data[int((1 - split_ratio) * len(df_data)):]\n",
+    "\n",
+    "df_data.head()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "745ed0d4",
+   "metadata": {},
+   "source": [
+    "## Implement a new character-level LSTM model"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "7375b0c0",
+   "metadata": {},
+   "source": [
+    "This new model is inherited from `CharacterLevelCnnModel` class, with some modifications on the following functions\n",
+    "\n",
+    "`__init__`: to add new parameters for the LSTM model. The new parameters, `size_lstm`, `rec_dropout`, `activation`, `recurrent_activation`, specify number of LSTM layers, activation function, and recurrent dropout ratio.\n",
+    "\n",
+    "`_validate_parameters`: to add additional checks on the new parameters for the LSTM model\n",
+    "\n",
+    "`_construct_model`: to construct the new LSTM model with the desired architecture"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8568fb49",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tensorflow as tf\n",
+    "import numpy as np\n",
+    "from dataprofiler.labelers.character_level_cnn_model import (\n",
+    "    CharacterLevelCnnModel,\n",
+    "    create_glove_char,\n",
+    "    build_embd_dictionary,\n",
+    ")\n",
+    "from dataprofiler.labelers.base_model import BaseModel\n",
+    "from dataprofiler.labelers.labeler_utils import F1Score\n",
+    "\n",
+    "\n",
+    "# CharacterLevelLstmModel derives from CharacterLevelCnnModel\n",
+    "#########################################################\n",
+    "#########################################################\n",
+    "class CharacterLevelLstmModel(CharacterLevelCnnModel):\n",
+    "    # boolean if the label mapping requires the mapping for index 0 reserved\n",
+    "    requires_zero_mapping = True\n",
+    "\n",
+    "    def __init__(self, label_mapping=None, parameters=None):\n",
+    "        \"\"\"\n",
+    "        LSTM Model Initializer\n",
+    "        \"\"\"\n",
+    "\n",
+    "        # parameter initialization\n",
+    "        if not parameters:\n",
+    "            parameters = {}\n",
+    "        parameters.setdefault(\"max_length\", 3400)\n",
+    "        parameters.setdefault(\"max_char_encoding_id\", 127)\n",
+    "        parameters.setdefault(\"dim_embed\", 64)\n",
+    "        parameters.setdefault(\"size_fc\", [32, 32])\n",
+    "        parameters.setdefault(\"dropout\", 0.1)\n",
+    "        # new parameters for LSTM model\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "        parameters.setdefault(\"size_lstm\", [64])\n",
+    "        parameters.setdefault(\"rec_dropout\", 0.1)\n",
+    "        parameters.setdefault(\"activation\", \"tanh\")\n",
+    "        parameters.setdefault(\"recurrent_activation\", \"sigmoid\")\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "        parameters.setdefault(\"default_label\", \"UNKNOWN\")\n",
+    "        parameters[\"pad_label\"] = \"PAD\"\n",
+    "        self._epoch_id = 0\n",
+    "\n",
+    "        # reconstruct flags for model\n",
+    "        self._model_num_labels = 0\n",
+    "        self._model_default_ind = -1\n",
+    "\n",
+    "        BaseModel.__init__(self, label_mapping, parameters)\n",
+    "\n",
+    "    def _validate_parameters(self, parameters):\n",
+    "        \"\"\"\n",
+    "        Validate the parameters sent in. Raise error if invalid parameters are\n",
+    "        present.\n",
+    "        \"\"\"\n",
+    "        errors = []\n",
+    "        list_of_necessary_params = [\n",
+    "            \"max_length\",\n",
+    "            \"max_char_encoding_id\",\n",
+    "            \"dim_embed\",\n",
+    "            \"size_fc\",\n",
+    "            \"dropout\",\n",
+    "            \"size_lstm\",\n",
+    "            \"rec_dropout\",\n",
+    "            \"activation\",\n",
+    "            \"recurrent_activation\",\n",
+    "            \"default_label\",\n",
+    "            \"pad_label\",\n",
+    "        ]\n",
+    "        # Make sure the necessary parameters are present and valid.\n",
+    "        for param in parameters:\n",
+    "            if param in [\n",
+    "                \"max_length\",\n",
+    "                \"max_char_encoding_id\",\n",
+    "                \"dim_embed\",\n",
+    "                \"size_conv\",\n",
+    "            ]:\n",
+    "                if (\n",
+    "                    not isinstance(parameters[param], (int, float))\n",
+    "                    or parameters[param] < 0\n",
+    "                ):\n",
+    "                    errors.append(\n",
+    "                        param + \" must be a valid integer or float \" \"greater than 0.\"\n",
+    "                    )\n",
+    "            elif param in [\n",
+    "                \"dropout\",\n",
+    "                \"rec_dropout\",\n",
+    "            ]:  # additional check for rec_dropout\n",
+    "                if (\n",
+    "                    not isinstance(parameters[param], (int, float))\n",
+    "                    or parameters[param] < 0\n",
+    "                    or parameters[param] > 1\n",
+    "                ):\n",
+    "                    errors.append(\n",
+    "                        param + \" must be a valid integer or float \" \"from 0 to 1.\"\n",
+    "                    )\n",
+    "            elif (\n",
+    "                param == \"size_fc\" or param == \"size_lstm\"\n",
+    "            ):  # additional check for size_lstm\n",
+    "                if (\n",
+    "                    not isinstance(parameters[param], list)\n",
+    "                    or len(parameters[param]) == 0\n",
+    "                ):\n",
+    "                    errors.append(param + \" must be a non-empty list of \" \"integers.\")\n",
+    "                else:\n",
+    "                    for item in parameters[param]:\n",
+    "                        if not isinstance(item, int):\n",
+    "                            errors.append(\n",
+    "                                param + \" must be a non-empty \" \"list of integers.\"\n",
+    "                            )\n",
+    "                            break\n",
+    "            elif param in [\n",
+    "                \"default_label\",\n",
+    "                \"activation\",\n",
+    "                \"recurrent_activation\",\n",
+    "            ]:  # additional check for activation and recurrent_activation\n",
+    "                if not isinstance(parameters[param], str):\n",
+    "                    error = str(param) + \" must be a string.\"\n",
+    "                    errors.append(error)\n",
+    "\n",
+    "        # Error if there are extra parameters thrown in\n",
+    "        for param in parameters:\n",
+    "            if param not in list_of_necessary_params:\n",
+    "                errors.append(param + \" is not an accepted parameter.\")\n",
+    "        if errors:\n",
+    "            raise ValueError(\"\\n\".join(errors))\n",
+    "\n",
+    "    def _construct_model(self):\n",
+    "        \"\"\"\n",
+    "        Model constructor for the data labeler. This also serves as a weight\n",
+    "        reset.\n",
+    "\n",
+    "        :return: None\n",
+    "        \"\"\"\n",
+    "        num_labels = self.num_labels\n",
+    "        default_ind = self.label_mapping[self._parameters[\"default_label\"]]\n",
+    "\n",
+    "        # Reset model\n",
+    "        tf.keras.backend.clear_session()\n",
+    "\n",
+    "        # generate glove embedding\n",
+    "        create_glove_char(self._parameters[\"dim_embed\"])\n",
+    "\n",
+    "        # generate model\n",
+    "        self._model = tf.keras.models.Sequential()\n",
+    "\n",
+    "        # default parameters\n",
+    "        max_length = self._parameters[\"max_length\"]\n",
+    "        max_char_encoding_id = self._parameters[\"max_char_encoding_id\"]\n",
+    "\n",
+    "        # Encoding layer\n",
+    "        def encoding_function(input_str):\n",
+    "            char_in_vector = CharacterLevelLstmModel._char_encoding_layer(\n",
+    "                input_str, max_char_encoding_id, max_length\n",
+    "            )\n",
+    "            return char_in_vector\n",
+    "\n",
+    "        self._model.add(tf.keras.layers.Input(shape=(None,), dtype=tf.string))\n",
+    "\n",
+    "        self._model.add(\n",
+    "            tf.keras.layers.Lambda(encoding_function, output_shape=tuple([max_length]))\n",
+    "        )\n",
+    "\n",
+    "        # Create a pre-trained weight matrix\n",
+    "        # character encoding indices range from 0 to max_char_encoding_id,\n",
+    "        # we add one extra index for out-of-vocabulary character\n",
+    "        embed_file = os.path.join(\n",
+    "            \"../dataprofiler/labelers\",\n",
+    "            \"embeddings/glove-reduced-{}D.txt\".format(self._parameters[\"dim_embed\"]),\n",
+    "        )\n",
+    "        embedding_matrix = np.zeros(\n",
+    "            (max_char_encoding_id + 2, self._parameters[\"dim_embed\"])\n",
+    "        )\n",
+    "        embedding_dict = build_embd_dictionary(embed_file)\n",
+    "\n",
+    "        input_shape = tuple([max_length])\n",
+    "        # Fill in the weight matrix: let pad and space be 0s\n",
+    "        for ascii_num in range(max_char_encoding_id):\n",
+    "            if chr(ascii_num) in embedding_dict:\n",
+    "                embedding_matrix[ascii_num + 1] = embedding_dict[chr(ascii_num)]\n",
+    "\n",
+    "        self._model.add(\n",
+    "            tf.keras.layers.Embedding(\n",
+    "                max_char_encoding_id + 2,\n",
+    "                self._parameters[\"dim_embed\"],\n",
+    "                weights=[embedding_matrix],\n",
+    "                input_length=input_shape[0],\n",
+    "                trainable=True,\n",
+    "            )\n",
+    "        )\n",
+    "\n",
+    "        # Add the lstm layers\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "        for size in self._parameters[\"size_lstm\"]:\n",
+    "            self._model.add(\n",
+    "                tf.keras.layers.LSTM(\n",
+    "                    units=size,\n",
+    "                    recurrent_dropout=self._parameters[\"rec_dropout\"],\n",
+    "                    activation=self._parameters[\"activation\"],\n",
+    "                    recurrent_activation=self._parameters[\"recurrent_activation\"],\n",
+    "                    return_sequences=True,\n",
+    "                )\n",
+    "            )\n",
+    "            if self._parameters[\"dropout\"]:\n",
+    "                self._model.add(tf.keras.layers.Dropout(self._parameters[\"dropout\"]))\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "\n",
+    "        # Add the fully connected layers\n",
+    "        for size in self._parameters[\"size_fc\"]:\n",
+    "            self._model.add(tf.keras.layers.Dense(units=size, activation=\"relu\"))\n",
+    "            if self._parameters[\"dropout\"]:\n",
+    "                self._model.add(tf.keras.layers.Dropout(self._parameters[\"dropout\"]))\n",
+    "\n",
+    "        # Add the final Softmax layer\n",
+    "        self._model.add(tf.keras.layers.Dense(num_labels, activation=\"softmax\"))\n",
+    "\n",
+    "        # Output the model into a .pb file for TensorFlow\n",
+    "        argmax_layer = tf.keras.backend.argmax(self._model.output)\n",
+    "\n",
+    "        # Create confidence layers\n",
+    "        final_predicted_layer = CharacterLevelLstmModel._argmax_threshold_layer(\n",
+    "            num_labels, threshold=0.0, default_ind=default_ind\n",
+    "        )\n",
+    "\n",
+    "        argmax_outputs = self._model.outputs + [\n",
+    "            argmax_layer,\n",
+    "            final_predicted_layer(argmax_layer, self._model.output),\n",
+    "        ]\n",
+    "        self._model = tf.keras.Model(self._model.inputs, argmax_outputs)\n",
+    "\n",
+    "        # Compile the model\n",
+    "        softmax_output_layer_name = self._model.outputs[0].name.split(\"/\")[0]\n",
+    "        losses = {softmax_output_layer_name: \"categorical_crossentropy\"}\n",
+    "\n",
+    "        # use f1 score metric\n",
+    "        f1_score_training = F1Score(num_classes=num_labels, average=\"micro\")\n",
+    "        metrics = {softmax_output_layer_name: [\"acc\", f1_score_training]}\n",
+    "\n",
+    "        self._model.compile(loss=losses, optimizer=\"adam\", metrics=metrics)\n",
+    "\n",
+    "        self._epoch_id = 0\n",
+    "        self._model_num_labels = num_labels\n",
+    "        self._model_default_ind = default_ind"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "d66bd25c",
+   "metadata": {},
+   "source": [
+    "## Integrate the new LSTM model to the DataLabeler"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "479f407a",
+   "metadata": {},
+   "source": [
+    "Once the LSTM model is built, it replaces the existing model in the DataLabeler pipeline, which is then trained on the given dataset. Note that, as the DataLabeler is trained on the above tabular dataset, its label mapping is updated by the list of column names in that dataset while training."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fb482ffe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# get labels from the given dataset\n",
+    "value_label_df = data_train.reset_index(drop=True).melt()\n",
+    "value_label_df.columns = [1, 0]  # labels=1, values=0 in that order\n",
+    "value_label_df = value_label_df.astype(str)\n",
+    "labels = value_label_df[1].unique().tolist()\n",
+    "\n",
+    "# create a new LSTM model\n",
+    "# set default label (one of the column names) to the model\n",
+    "model = CharacterLevelLstmModel(label_mapping=labels, parameters={'default_label': 'comment'})\n",
+    "\n",
+    "# add the new LSTM model to the data labeler\n",
+    "data_labeler = dp.DataLabeler(labeler_type='structured', trainable=True)\n",
+    "data_labeler.set_model(model)\n",
+    "\n",
+    "# set default label (one of the column names) to the preprocessor and postprocessor\n",
+    "processor_params = {'default_label': 'comment'}\n",
+    "data_labeler._preprocessor.set_params(**processor_params)\n",
+    "data_labeler._postprocessor.set_params(**processor_params)\n",
+    "\n",
+    "# train the data labeler\n",
+    "save_dirpath=\"data_labeler_saved\"\n",
+    "if not os.path.exists(save_dirpath):\n",
+    "    os.makedirs(save_dirpath)\n",
+    "\n",
+    "epochs=2\n",
+    "data_labeler.fit(\n",
+    "    x=value_label_df[0], y=value_label_df[1], labels=labels, epochs=epochs)\n",
+    "if save_dirpath:\n",
+    "    data_labeler.save_to_disk(save_dirpath)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "14b78c69",
+   "metadata": {},
+   "source": [
+    "The trained Data Labeler is then used by the Data Profiler to provide the prediction on the new dataset. In this example, all options except data labeler are disabled for the sake of presenting data labeler functionality. The results are given in the columnar format where true column types are given in the first column, and the predicted column labels are given in the second column."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bdfcf1d2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predict with the data labeler object\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({\"structured_options.text.is_enabled\": False, \n",
+    "                     \"int.is_enabled\": False, \n",
+    "                     \"float.is_enabled\": False, \n",
+    "                     \"order.is_enabled\": False, \n",
+    "                     \"category.is_enabled\": False, \n",
+    "                     \"datetime.is_enabled\": False,})\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_object': data_labeler})\n",
+    "profile = dp.Profiler(data_test, options=profile_options)\n",
+    "\n",
+    "# get the prediction from the data profiler\n",
+    "def get_structured_results(results):\n",
+    "    columns = []\n",
+    "    predictions = []\n",
+    "    for col_report in results['data_stats']:\n",
+    "        columns.append(col_report['column_name'])\n",
+    "        predictions.append(col_report['data_label'])\n",
+    "\n",
+    "    df_results = pd.DataFrame({'Column': columns, 'Prediction': predictions})\n",
+    "    return df_results\n",
+    "\n",
+    "results = profile.report()\n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "cc60ff8a",
+   "metadata": {},
+   "source": [
+    "In summary, users can define their own model, plug it in the DataLabeler pipeline, and train the labeler with the new dataset. Above, we show one example of adding the LSTM model to the pipeline. Interested users can implement other neural network models as desired with the same process."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/doctrees/nbsphinx/column_name_labeler_example.ipynb b/docs/0.10.5/doctrees/nbsphinx/column_name_labeler_example.ipynb
new file mode 100644
index 000000000..6d3369698
--- /dev/null
+++ b/docs/0.10.5/doctrees/nbsphinx/column_name_labeler_example.ipynb
@@ -0,0 +1,364 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e04c382a-7c49-452b-b9bf-e448951c64fe",
+   "metadata": {},
+   "source": [
+    "# ColumnName Labeler Tutorial"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fb3ecb9-bc51-4c18-93d5-7991bbee5165",
+   "metadata": {},
+   "source": [
+    "This notebook teaches how to use the existing `ColumnNameModel`:\n",
+    "\n",
+    "1. Loading and utilizing the pre-existing `ColumnNameModel`\n",
+    "2. Run the labeler\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a67c197b-d3ee-4896-a96f-cc3d043601d3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "from pprint import pprint\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "try:\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    sys.path.insert(0, '../..')\n",
+    "    import dataprofiler as dp"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "35841215",
+   "metadata": {},
+   "source": [
+    "## Loading and predicting using a pre-existing model using `load_from_library`\n",
+    "\n",
+    "The easiest option for users is to `load_from_library` by specifying the name for the labeler in the `resources/` folder. Quickly import and start predicting with any model from the Data Profiler's library of models available."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "46e36dd6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "labeler_from_library = dp.DataLabeler.load_from_library('column_name_labeler')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dfa94868",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "labeler_from_library.predict(data=[\"ssn\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c71356f4-9020-4862-a1e1-816effbb5443",
+   "metadata": {},
+   "source": [
+    "## Loading and using the pre-existing column name labeler using `load_with_components`\n",
+    "\n",
+    "For example purposes here, we will import the exsting `ColumnName` labeler via the `load_with_components` command from the `dp.DataLabeler`. This shows a bit more of the details of the data labeler's flow."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "818c5b88",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "parameters = {\n",
+    "            \"true_positive_dict\": [\n",
+    "                {\"attribute\": \"ssn\", \"label\": \"ssn\"},\n",
+    "                {\"attribute\": \"suffix\", \"label\": \"name\"},\n",
+    "                {\"attribute\": \"my_home_address\", \"label\": \"address\"},\n",
+    "            ],\n",
+    "            \"false_positive_dict\": [\n",
+    "                {\n",
+    "                    \"attribute\": \"contract_number\",\n",
+    "                    \"label\": \"ssn\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"role\",\n",
+    "                    \"label\": \"name\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"send_address\",\n",
+    "                    \"label\": \"address\",\n",
+    "                },\n",
+    "            ],\n",
+    "            \"negative_threshold_config\": 50,\n",
+    "            \"positive_threshold_config\": 85,\n",
+    "            \"include_label\": True,\n",
+    "        }\n",
+    "\n",
+    "label_mapping = {\"ssn\": 1, \"name\": 2, \"address\": 3}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9098329e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pre processor \n",
+    "preprocessor = dp.labelers.data_processing.DirectPassPreprocessor()\n",
+    "\n",
+    "# model\n",
+    "from dataprofiler.labelers.column_name_model import ColumnNameModel\n",
+    "model = ColumnNameModel(\n",
+    "    parameters=parameters,\n",
+    "    label_mapping=label_mapping,\n",
+    ")\n",
+    "\n",
+    "\n",
+    "# post processor\n",
+    "postprocessor = dp.labelers.data_processing.ColumnNameModelPostprocessor()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "113d6655-4bca-4d8e-9e6f-b972e29d5684",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler = dp.DataLabeler.load_with_components(\n",
+    "    preprocessor=preprocessor,\n",
+    "    model=model,\n",
+    "    postprocessor=postprocessor,\n",
+    ")\n",
+    "data_labeler.model.help()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0b405887-2b92-44ca-b8d7-29c384f6dd9c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.label_mapping)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11916a48-098c-4056-ac6c-b9542d85fa86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.model._parameters)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "da0e97ee-8d6d-4631-9b55-78ed904d5f41",
+   "metadata": {},
+   "source": [
+    "### Predicting with the ColumnName labeler\n",
+    "\n",
+    "In the prediction below, the data will be passed into to stages in the background\n",
+    "- 1) `compare_negative`: The idea behind the `compare_negative` is to first filter out any possibility of flagging a false positive in the model prediction. In this step, the confidence value is checked and if the similarity is too close to being a false positive, that particular string in the `data` is removed and not returned to the `compare_positive`.\n",
+    "- 2) `compare_positive`: Finally the `data` is passed to the `compare_positive` step and checked for similarity with the the `true_positive_dict` values. Again, during this stage the `positive_threshold_config` is used to filter the results to only those `data` values that are greater than or equal to the `positive_threshold_config` provided by the user."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fe519e65-36a7-4f42-8314-5369de8635c7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# evaluate a prediction using the default parameters\n",
+    "data_labeler.predict(data=[\"ssn\", \"name\", \"address\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b41d834d-e47b-45a6-8970-d2d2033e2ade",
+   "metadata": {},
+   "source": [
+    "## Replacing the parameters in the existing labeler\n",
+    "\n",
+    "We can achieve this by:\n",
+    "1. Setting the label mapping to the new labels\n",
+    "2. Setting the model parameters which include: `true_positive_dict`, `false_positive_dict`, `negative_threshold_config`, `positive_threshold_config`, and `include_label`\n",
+    "\n",
+    "where `true_positive_dict` and `false_positive_dict` are `lists` of `dicts`, `negative_threshold_config` and `positive_threshold_config` are integer values between `0` and `100`, and `include_label` is a `boolean` value that determines if the output should include the prediction labels or only the confidence values."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c6bb010a-406f-4fd8-abd0-3355a5ad0ded",
+   "metadata": {},
+   "source": [
+    "Below, we created 4 labels where `other` is the `default_label`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f86584cf-a7af-4bae-bf44-d87caa68833a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.set_labels({'other': 0, \"funky_one\": 1, \"funky_two\": 2, \"funky_three\": 3})\n",
+    "data_labeler.model.set_params(\n",
+    "    true_positive_dict= [\n",
+    "                {\"attribute\": \"ssn\", \"label\": \"funky_one\"},\n",
+    "                {\"attribute\": \"suffix\", \"label\": \"funky_two\"},\n",
+    "                {\"attribute\": \"my_home_address\", \"label\": \"funky_three\"},\n",
+    "            ],\n",
+    "    false_positive_dict=[\n",
+    "                {\n",
+    "                    \"attribute\": \"contract_number\",\n",
+    "                    \"label\": \"ssn\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"role\",\n",
+    "                    \"label\": \"name\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"not_my_address\",\n",
+    "                    \"label\": \"address\",\n",
+    "                },\n",
+    "            ],\n",
+    "    negative_threshold_config=50,\n",
+    "    positive_threshold_config=85,\n",
+    "    include_label=True,\n",
+    ")\n",
+    "data_labeler.label_mapping"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ece1c8c-18a5-46fc-b563-6458e6e71e53",
+   "metadata": {},
+   "source": [
+    "### Predicting with the new labels\n",
+    "\n",
+    "Here we are testing the `predict()` method with brand new labels for label_mapping. As we can see the new labels flow throught to the output of the data labeler."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "92842e14-2ea6-4879-b58c-c52b607dc94c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(data=[\"ssn\", \"suffix\"], predict_options=dict(show_confidences=True))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "261b903f-8f4c-403f-839b-ab8813f850e9",
+   "metadata": {},
+   "source": [
+    "## Saving the Data Labeler for future use"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b6ffbaf2-9400-486a-ba83-5fc9ba9334d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not os.path.isdir('new_column_name_labeler'):\n",
+    "    os.mkdir('new_column_name_labeler')\n",
+    "data_labeler.save_to_disk('new_column_name_labeler')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09e40cb6-9d89-41c4-ae28-3dca498f8c68",
+   "metadata": {},
+   "source": [
+    "## Loading the saved Data Labeler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52615b25-70a6-4ebb-8a32-14aaf1e747d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "saved_labeler = dp.DataLabeler.load_from_disk('new_column_name_labeler')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1ccc0b3-1dc2-4847-95c2-d6b8769b1590",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ensuring the parametesr are what we saved.\n",
+    "print(\"label_mapping:\")\n",
+    "pprint(saved_labeler.label_mapping)\n",
+    "print(\"\\nmodel parameters:\")\n",
+    "pprint(saved_labeler.model._parameters)\n",
+    "print()\n",
+    "print(\"postprocessor: \" + saved_labeler.postprocessor.__class__.__name__)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c827f2ae-4af6-4f3f-9651-9ee9ebea9fa0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predicting with the loaded labeler.\n",
+    "saved_labeler.predict([\"ssn\", \"name\", \"address\"])"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/doctrees/nbsphinx/data_reader.ipynb b/docs/0.10.5/doctrees/nbsphinx/data_reader.ipynb
new file mode 100644
index 000000000..d2ce887e6
--- /dev/null
+++ b/docs/0.10.5/doctrees/nbsphinx/data_reader.ipynb
@@ -0,0 +1,689 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d4d79832-59ab-410a-ad6d-fbba01a3f0d3",
+   "metadata": {},
+   "source": [
+    "# Intro to Data Readers\n",
+    "Within the Data Profiler, there are 5 data reader classes:\n",
+    "\n",
+    "  * CSVData (delimited data: CSV, TSV, etc.)\n",
+    "  * JSONData\n",
+    "  * ParquetData\n",
+    "  * AVROData\n",
+    "  * GraphData\n",
+    "  * TextData\n",
+    "  \n",
+    "Each of these classes can be used to read data individually, however the Data Profiler provides the unique capability of auto detecting what data you have and reading it automatically by using the `Data` class.\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "data = dp.Data('/path/to/mydata.abc')  # auto detects and reads your data\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2315666-20be-4937-9f9a-26d42dc135e2",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Automatically reading and detecting data\n",
+    "\n",
+    "Below is a demonstration of utilizing the `Data` class which automatically detects the type of data for a given file and reads it automatically."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "99e61c6c-43b8-4700-b627-759b5ef8bdda",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8821ad8d-b2c0-489c-ae6a-54c11b7f0a08",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data with different file types\n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "csv_files = [\n",
+    "    \"csv/aws_honeypot_marx_geo.csv\",\n",
+    "    \"csv/all-strings-skip-header-author.csv\", # csv files with the author/description on the first line\n",
+    "    \"csv/sparse-first-and-last-column-empty-first-row.txt\", # csv file with the .txt extension\n",
+    "]\n",
+    "json_files = [\n",
+    "    \"json/complex_nested.json\",\n",
+    "    \"json/honeypot_intentially_mislabeled_file.csv\", # json file with the .csv extension\n",
+    "]\n",
+    "parquet_files = [\n",
+    "    \"parquet/nation.dict.parquet\",\n",
+    "    \"parquet/nation.plain.intentionally_mislabled_file.csv\", # parquet file with the .csv extension\n",
+    "]\n",
+    "avro_files = [\n",
+    "    \"avro/userdata1.avro\",\n",
+    "    \"avro/userdata1_intentionally_mislabled_file.json\", # avro file with the .json extension\n",
+    "]\n",
+    "graph_files = [\n",
+    "    \"csv/graph_data_csv_identify.csv\", # csv file with graph column names\n",
+    "]\n",
+    "text_files = [\n",
+    "    \"txt/discussion_reddit.txt\",\n",
+    "]\n",
+    "all_files = csv_files + json_files + parquet_files + avro_files + graph_files + text_files\n",
+    "print('filepath' + ' ' * 58 + 'data type')\n",
+    "print('='*80)\n",
+    "for file in all_files:\n",
+    "    filepath = os.path.join(data_folder, file)\n",
+    "    data = dp.Data(filepath)\n",
+    "    print(\"{:<65} {:<15}\".format(file, data.data_type))\n",
+    "print(\"\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "49dfc981-59fd-48a5-ad7b-e01f0a52d0b2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# importing from a url\n",
+    "data = dp.Data('https://raw.githubusercontent.com/capitalone/DataProfiler/main/dataprofiler/tests/data/csv/diamonds.csv')\n",
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "77f8ef2d-5aaf-44d6-b6d1-bf14f7eb7aa6",
+   "metadata": {},
+   "source": [
+    "## Specifying detection options of `Data` and loading `pandas.DataFrame`\n",
+    "\n",
+    "The `Data` class also gives the ability to set options or if the user wants to load their data with specific requirements.\n",
+    "Options for each data reader are specified in the docs: https://capitalone.github.io/DataProfiler/docs/0.4.4/html/dataprofiler.data_readers.html\n",
+    "\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "\n",
+    "options = {...}  # allowed options are specified for each data reader.\n",
+    "data = dp.Data(data, options=options)\n",
+    "```\n",
+    "Later in this tutorial, the options for the CSVData class will be discussed.\n",
+    "\n",
+    "Additionally, a user can directly load a `pandas.DataFrame` as any data reader they choose."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4b925d4e-ca94-4913-9acf-26a883585e85",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "\n",
+    "\n",
+    "df = pd.DataFrame(['my', 'random', 'data'])\n",
+    "\n",
+    "# specify via the `Data` class\n",
+    "data = dp.Data(data=df, data_type='csv')\n",
+    "print('Data Type: ', data.data_type)\n",
+    "\n",
+    "# specifically use the CSVData class\n",
+    "data = CSVData(data=df)\n",
+    "print('Data Type: ', data.data_type)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "52c3c3ac-c241-4d91-8ac7-b3d28ffd19c3",
+   "metadata": {},
+   "source": [
+    "## Accessing data and attributes\n",
+    "\n",
+    "Once loaded, the data can be accessed via the `data` property of the object. Additional information about the data loaded may differ between data readers.\n",
+    "\n",
+    "For this example we will focus on `CSVData`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "09fa5929-e710-4107-9313-1370ab639c9c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filepath = \"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\"\n",
+    "data = dp.Data(filepath)\n",
+    "print('Data Type: ', data.data_type)\n",
+    "print('Data Filepath: ', data.input_file_path)\n",
+    "print('File Encoding: ', data.file_encoding)\n",
+    "print('Data Length (two techniques): ', len(data), data.length)\n",
+    "print(\"Data Access:\")\n",
+    "data.data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b98be971-4768-479d-9e54-00f05a6fb790",
+   "metadata": {},
+   "source": [
+    "## Checking data file types with `is_match`\n",
+    "\n",
+    "Each data reader has a class method `is_match` which determines whether or not a dataset is of a given data type.\n",
+    "```python\n",
+    "CSVData.is_match\n",
+    "JSONData.is_match\n",
+    "ParquetData.is_match\n",
+    "AVROData.is_match\n",
+    "GraphData.is_match\n",
+    "TextData.is_match\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "104a32c1-1d50-4aa5-94ce-b2e72de38476",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# supplemental function\n",
+    "def add_true_false_color(value):\n",
+    "    \"\"\"Converts True to green and False to red in printed text.\"\"\"\n",
+    "    if value:\n",
+    "        return \"\\x1b[92m  \" + str(is_match) + \"\\x1b[0m\"\n",
+    "    return \"\\x1b[31m \" + str(is_match) + \"\\x1b[0m\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "06868d90-2726-4096-a6da-3866174e6671",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "\n",
+    "\n",
+    "non_csv_files = [\n",
+    "    'json/iris-utf-8.json',\n",
+    "    'json/honeypot_intentially_mislabeled_file.csv',\n",
+    "    'parquet/titanic.parq',\n",
+    "    'parquet/nation.plain.intentionally_mislabled_file.csv',\n",
+    "    'txt/code.txt',\n",
+    "    'txt/sentence.txt',\n",
+    "    'avro/users.avro',\n",
+    "    'avro/snappy_compressed_intentionally_mislabeled_file.csv',\n",
+    "]\n",
+    "\n",
+    "print(\"Is the file a CSV?\")\n",
+    "print('=' * 80)\n",
+    "for file in csv_files:\n",
+    "    filepath = os.path.join(data_folder, file)\n",
+    "    is_match = CSVData.is_match(filepath)\n",
+    "    print(add_true_false_color(is_match), ':', file)\n",
+    "    print('=' * 80)\n",
+    "    \n",
+    "for file in non_csv_files:\n",
+    "    filepath = os.path.join(data_folder, file)\n",
+    "    is_match = CSVData.is_match(filepath)\n",
+    "    print(add_true_false_color(is_match), ':', file)\n",
+    "    print('=' * 80)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "38889990-8e19-4114-a4f3-dc2af938e29d",
+   "metadata": {},
+   "source": [
+    "## Reloading data after altering options with `reload`\n",
+    "\n",
+    "There are two cases for using the reload function, both of which require the data type to have been interpreted correctly:\n",
+    "\n",
+    "    1. The options were not correctly determined\n",
+    "    2. The options were loaded correctly but a change is desired.\n",
+    "    \n",
+    "In the example below, the `data_format` for reading the data is changed and the data is then reloaded."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "01870e8d-45ee-4f33-a088-4453c7ffc7c2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filepath = \"../dataprofiler/tests/data/csv/diamonds.csv\"\n",
+    "\n",
+    "data = dp.Data(filepath)\n",
+    "print('original data:')\n",
+    "print('=' * 80)\n",
+    "print(data.data[:5])\n",
+    "\n",
+    "print()\n",
+    "data.reload(options={'data_format': 'records', 'record_samples_per_line': 1})\n",
+    "print('reloaded data:')\n",
+    "print('=' * 80)\n",
+    "data.data[:5]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2285f19-9b34-4484-beaa-79df890b2825",
+   "metadata": {},
+   "source": [
+    "## A deeper dive into `CSVData`\n",
+    "\n",
+    "This next section will focus on how to use the data reader class: `CSVData`. The `CSVData` class is used for reading delimited data. Delimited data are datasets which have their columns specified by a specific character, commonly the `,`. E.g. from the `diamonds.csv` dataset:\n",
+    "```\n",
+    "carat,cut,color,clarity,depth,table,price,x,y,z\n",
+    "0.23,Ideal,E,SI2,61.5,55,326,3.95,3.98,2.43\n",
+    "0.21,Premium,E,SI1,59.8,61,326,3.89,3.84,2.31\n",
+    "0.23,Good,E,VS1,56.9,65,327,4.05,4.07,2.31\n",
+    "0.29,Premium,I,VS2,62.4,58,334,4.2,4.23,2.63\n",
+    "0.31,Good,J,SI2,63.3,58,335,4.34,4.35,2.75\n",
+    "```\n",
+    "\n",
+    "However, the delimiter can be any character. Additionally, a `quotechar`, commonly `\"`, can be specified which allows a delimiter to be contained within a column value.\n",
+    "E.g. from the `blogposts.csv` dataset:\n",
+    "```\n",
+    "Blog Post,Date,Subject,Field\n",
+    "\"Monty Hall, meet Game Theory\",4/13/2014,Statistics,Mathematics\n",
+    "Gaussian Quadrature,4/13/2014,Algorithms,Mathematics\n",
+    "```\n",
+    "Notice how `\"Monty Hall, meet Game Theory\"` is contained by the quotechar because it contains the delimiter value `,`.\n",
+    "\n",
+    "These delimiter dataset parameters (and more) can be automatically determined by the `CSVData` data reader, however they can also be set via the options as demonstrated later in this tutorial."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cccb6bf9-7fb8-46b8-992e-9caacb7ab3a8",
+   "metadata": {},
+   "source": [
+    "## Intro to the `CSVData` data reader\n",
+    "\n",
+    "Previously, it was shown that `CSVData` may automatically be detected using `Data` or can be manually specified by the user:\n",
+    "\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "\n",
+    "data = dp.Data(filepath)\n",
+    "data = CSVData(filepath)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e25f5130-4f19-40c5-9d13-549a04f1aef5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read delimited data \n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "csv_files = [\n",
+    "    \"csv/diamonds.csv\",\n",
+    "    \"csv/all-strings-skip-header-author.csv\", # csv files with the author/description on the first line\n",
+    "    \"csv/sparse-first-and-last-column-empty-first-row.txt\", # csv file with the .txt extension\n",
+    "]\n",
+    "\n",
+    "for file in csv_files:\n",
+    "    data = CSVData(os.path.join(data_folder, file))\n",
+    "    print(data.data.head())\n",
+    "    print('=' * 80)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8940de56-1417-4bf6-af87-9d4d00b9a631",
+   "metadata": {},
+   "source": [
+    "## CSVData Options\n",
+    "\n",
+    "As mentioned preivously, `CSVData` has options that can be set to finetune its detection or to ensure the data is being read in a specific manner.\n",
+    "The options for `CSVData` are detailed below:\n",
+    "\n",
+    "  * delimiter - delimiter used to decipher the csv input file\n",
+    "  * quotechar - quote character used in the delimited file\n",
+    "  * header - location of the header in the file.\n",
+    "  * data_format - user selected format in which to return data can only be of specified types\n",
+    "  * selected_columns - columns being selected from the entire dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3d74f2e8-0ec3-4e93-8778-0a5f013e0cdb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# options are set via a dictionary object in which the parameters are specified.\n",
+    "# these are the default values for each option\n",
+    "options = {\n",
+    "    \"delimiter\": \",\",\n",
+    "    \"quotechar\": '\"',\n",
+    "    \"header\": 'auto',\n",
+    "    \"data_format\": \"dataframe\",  # type: str, choices: \"dataframe\", \"records\"\n",
+    "    \"selected_columns\": list(),\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9af108a1-ffe6-4c3a-82cc-833b1a3b57a1",
+   "metadata": {},
+   "source": [
+    "## Options: delimiter and quotechar\n",
+    "\n",
+    "Below, both the auto detection and use of options will be illustrated for `delimiter` and `quotechar`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "570e20c3-198e-4356-98d3-92eb9655ef4e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/daily-activity-sheet-@-singlequote.csv\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "98385148-861e-4eb1-ba8d-e93120515401",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = dp.Data(filepath)  # or use CSVData\n",
+    "print('Auto detected')\n",
+    "print('=' * 80)\n",
+    "print('delimiter: ', data.delimiter)\n",
+    "print('quotechar: ', data.quotechar)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7f5d9306-d90a-4fc6-85a7-a0d535fe2d80",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'delimiter': '@', 'quotechar': \"'\"}\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "print('manually set')\n",
+    "print('=' * 80)\n",
+    "print('delimiter: ', data.delimiter)\n",
+    "print('quotechar: ', data.quotechar)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b7bfa60f-b5b9-48a5-adc5-3937aed145da",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# intentional failure with incorrect options\n",
+    "options = {'delimiter': ',', 'quotechar': '\"'}\n",
+    "\n",
+    "# will be interepted as TextData because the delimtier and quotechar were incorrect\n",
+    "data = dp.Data(filepath, options=options)\n",
+    "print('intentional faliure set')\n",
+    "print('=' * 80)\n",
+    "try:\n",
+    "    print('delimiter: ', data.delimiter)  # attribute error raised here, bc TextData, not CSVData\n",
+    "    print('quotechar: ', data.quotechar)\n",
+    "    \n",
+    "    # should not reach this or something went wrong\n",
+    "    raise Exception('Should have failed because this is detected as TextData.')\n",
+    "except AttributeError:\n",
+    "    print('When data_type is not set or the CSVData is not set, it will fail over to the\\n'\n",
+    "          'next best reader. In this case it is \"TextData\"\\n')\n",
+    "data.data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eeb41c7c-8319-40a3-9d87-88edbb3c5290",
+   "metadata": {},
+   "source": [
+    "## Options: header\n",
+    "\n",
+    "Below, both the auto detection and use of options will be illustrated for `header`.\n",
+    "\n",
+    "Notice how in the manually set mechanism, we are intentionally setting the header incorrectly to illustrate what happens."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16a927ef-1ba8-4bf2-ae40-2a9909030609",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/sparse-first-and-last-column-header-and-author-description.txt\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0701d7bf-2de0-4dce-8f09-7f0cddd1132c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'header': 'auto'}  # auto detected (default value)\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "print('Data Header:', data.header)\n",
+    "print('=' * 80)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b8642a0a-367a-44c6-b611-b89d97b29f85",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'header': 2}  # intentionally set incorrectly at value 2\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "print('Data Header:', data.header)\n",
+    "print('=' * 80)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d6e3f640-c809-4eb6-9571-30065821615e",
+   "metadata": {},
+   "source": [
+    "## Options: data_format\n",
+    "\n",
+    "For CSVData, the `data_format` option can have the following values:\n",
+    "\n",
+    "  * dataframe - (default) loads the dataset as a pandas.DataFrame\n",
+    "  * records   - loads the data as rows of text values, the extra parameter `record_samples_per_line` how many rows are combined into a single line\n",
+    "  \n",
+    "`dataframe` is used for conducting **structured profiling** of the dataset while `records` is for **unstructured profiling**.\n",
+    "\n",
+    "Below, both the auto detection and use of options will be illustrated for `data_format`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "146109ea-a554-4766-bb19-78c116d2a8dd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/diamonds.csv\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dceac967-d326-4064-ba1c-87a1146c9d72",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'data_format': 'dataframe'}  # default\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "data.data[:5]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2c25524f-ef23-4e06-9023-842c64c2640e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'data_format': 'records', 'record_samples_per_line': 1}\n",
+    "data = dp.Data(filepath, options=options)\n",
+    "data.data[:5]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d45f3ed6-ddcd-4bf3-95bc-09f23eb94c97",
+   "metadata": {},
+   "source": [
+    "## Options: selected columns\n",
+    "\n",
+    "By default, all columns of a dataset will be read and loaded into the data reader. However, `selected_columns` can be set to only load columns which the user requests."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c9b45e18-93c6-42e6-b978-af51574307eb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "018f3f4d-32ac-411a-9918-bae78aff0b0e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'selected_columns': ['datetime', 'host', 'src', 'proto']}\n",
+    "data = dp.Data(filepath, options=options)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b50679ea",
+   "metadata": {},
+   "source": [
+    "## Intro to `GraphData` data reader\n",
+    "\n",
+    "This tutorial will focus on how to use the data reader class: `GraphData`. The `GraphData` class is used for reading the delimited data from a CSV file into a `NetworkX` Graph object. This is all in an effort to prepare the data automaticaly for `GraphProfiler` class to then profile graph data. \n",
+    "\n",
+    "The DataProiler keys off of common graph naming conventions in the column header row. E.G. from `dataprofiler/tests/csv/graph_data_csv_identify.csv`\n",
+    "```\n",
+    "node_id_dst, node_id_src, continuous_weight, categorical_status\n",
+    "108,289,7.4448069,9\n",
+    "81,180,3.65064207,0\n",
+    "458,83,5.9959787,10\n",
+    "55,116,4.63359209,79\n",
+    "454,177,5.76715529,11\n",
+    "429,225,4.79556889,3\n",
+    "```\n",
+    "\n",
+    "Options for the `GraphData` are exactly the same as `CSVData`.\n",
+    "\n",
+    "\n",
+    "Example implementation of `GraphData`:\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "from dataprofiler.data_readers.graph_data import GraphData\n",
+    "\n",
+    "data = dp.Data(graph_file)\n",
+    "data = GraphData(graph_file)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "838db976",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dataprofiler.data_readers.graph_data import GraphData\n",
+    "\n",
+    "# use data reader to read delimited data \n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "graph_file = \"csv/graph_data_csv_identify.csv\"\n",
+    "\n",
+    "data = GraphData(os.path.join(data_folder, graph_file))\n",
+    "print(data.data.edges)\n",
+    "print('=' * 80)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/doctrees/nbsphinx/graph_data_demo.ipynb b/docs/0.10.5/doctrees/nbsphinx/graph_data_demo.ipynb
new file mode 100644
index 000000000..088612872
--- /dev/null
+++ b/docs/0.10.5/doctrees/nbsphinx/graph_data_demo.ipynb
@@ -0,0 +1,271 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Graph Pipeline Demo"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "DataProfiler can also load and profile graph datasets. Similarly to the rest of DataProfiler profilers, this is split into two components:\n",
+    "- GraphData\n",
+    "- GraphProfiler\n",
+    "\n",
+    "We will demo the use of this graph pipeline.\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import pprint\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We now input our dataset into the generic DataProfiler pipeline:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/graph_data_csv_identify.csv\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "report = profile.report()\n",
+    "\n",
+    "pp = pprint.PrettyPrinter(sort_dicts=False, compact=True)\n",
+    "pp.pprint(report)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We notice that the `Data` class automatically detected the input file as graph data. The `GraphData` class is able to differentiate between tabular and graph csv data. After `Data` matches the input file as graph data, `GraphData` does the necessary work to load the csv data into a NetworkX Graph. \n",
+    "\n",
+    "`Profiler` runs `GraphProfiler` when graph data is input (or when `data_type=\"graph\"` is specified). The `report()` function outputs the profile for the user."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Profile"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The profile skeleton looks like this:\n",
+    "```\n",
+    "profile = {\n",
+    "    \"num_nodes\": ...,\n",
+    "    \"num_edges\": ...,\n",
+    "    \"categorical_attributes\": ...,\n",
+    "    \"continuous_attributes\": ...,\n",
+    "    \"avg_node_degree\": ...,\n",
+    "    \"global_max_component_size\": ...,\n",
+    "    \"continuous_distribution\": ...,\n",
+    "    \"categorical_distribution\": ...,\n",
+    "    \"times\": ...,\n",
+    "}\n",
+    "```\n",
+    "\n",
+    "Description of properties in profile:\n",
+    "- `num_nodes`: number of nodes in the graph\n",
+    "- `num_edges`: number of edges in the graph\n",
+    "- `categorical_attributes`: list of categorical edge attributes\n",
+    "- `continuous_attributes`: list of continuous edge attributes\n",
+    "- `avg_node_degree`: average degree of nodes in the graph\n",
+    "- `global_max_component_size`: size of largest global max component in the graph\n",
+    "- `continuous_distribution`: dictionary of statistical properties for each continuous attribute\n",
+    "- `categorical_distribution`: dictionary of statistical properties for each categorical attribute\n",
+    "\n",
+    "The `continuous_distribution` and `categorical_distribution` dictionaries list statistical properties for each edge attribute in the graph:\n",
+    "```\n",
+    "continuous_distribution = {\n",
+    "    \"name\": ...,\n",
+    "    \"scale\": ...,\n",
+    "    \"properties\": ...,\n",
+    "}\n",
+    "```\n",
+    "```\n",
+    "categorical_distribution = {\n",
+    "    \"bin_counts\": ...,\n",
+    "    \"bin_edges\": ...,\n",
+    "}\n",
+    "```\n",
+    "Description of each attribute:\n",
+    "- Continuous distribution:\n",
+    "    - `name`: name of the distribution\n",
+    "    - `scale`: negative log likelihood used to scale distributions and compare them in `GraphProfiler`\n",
+    "    - `properties`: list of distribution props\n",
+    "- Categorical distribution:\n",
+    "    - `bin_counts`: histogram bin counts\n",
+    "    - `bin_edges`: histogram bin edges\n",
+    "\n",
+    "`properties` lists the following distribution properties: [optional: shape, loc, scale, mean, variance, skew, kurtosis]. The list can be either 6 length or 7 length depending on the distribution (extra shape parameter):\n",
+    "- 6 length: norm, uniform, expon, logistic\n",
+    "- 7 length: gamma, lognorm\n",
+    "    - gamma: shape=`a` (float)\n",
+    "    - lognorm: shape=`s` (float)\n",
+    "    \n",
+    "For more information on shape parameters `a` and `s`: https://docs.scipy.org/doc/scipy/tutorial/stats.html#shape-parameters"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Profile\n",
+    "Below you will see an example of how a Graph Profile can be saved and loaded again."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# The default save filepath is profile-<datetime>.pkl\n",
+    "profile.save(filepath=\"profile.pkl\")\n",
+    "\n",
+    "new_profile = dp.GraphProfiler.load(\"profile.pkl\")\n",
+    "new_report = new_profile.report()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pp.pprint(report)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Difference in Data\n",
+    "If we wanted to ensure that this new profile was the same as the previous profile that we loaded, we could compare them using the diff functionality."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "diff = profile.diff(new_profile)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pp.pprint(diff)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Another use for diff might be to provide differences between training and testing profiles as shown in the cell below.\n",
+    "We will use the profile above as the training profile and create a new profile to represent the testing profile"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "training_profile = profile\n",
+    "\n",
+    "testing_data = dp.Data(os.path.join(data_path, \"csv/graph-differentiator-input-positive.csv\"))\n",
+    "testing_profile = dp.Profiler(testing_data)\n",
+    "\n",
+    "test_train_diff = training_profile.diff(testing_profile)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Below you can observe the difference between the two profiles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pp.pprint(test_train_diff)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Conclusion"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We have shown the graph pipeline in the DataProfiler. It works similarly to the current DataProfiler implementation."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/0.10.5/doctrees/nbsphinx/labeler.ipynb b/docs/0.10.5/doctrees/nbsphinx/labeler.ipynb
new file mode 100644
index 000000000..af31b68c5
--- /dev/null
+++ b/docs/0.10.5/doctrees/nbsphinx/labeler.ipynb
@@ -0,0 +1,650 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "spoken-reunion",
+   "metadata": {},
+   "source": [
+    "# Sensitive Data Detection with the Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "interesting-bidder",
+   "metadata": {},
+   "source": [
+    "In this example, we utilize the Labeler component of the Data Profiler to detect the sensitive information for both structured and unstructured data. In addition, we show how to train the Labeler on some specific dataset with different list of entities.\n",
+    "\n",
+    "First, let's dive into what the Labeler is."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1965b83b",
+   "metadata": {},
+   "source": [
+    "## What is the Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "388c643f",
+   "metadata": {},
+   "source": [
+    "The Labeler is a pipeline designed to make building, training, and predictions with ML models quick and easy. There are 3 major components to the Labeler: the preprocessor, the model, and the postprocessor."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e5d0aeb4",
+   "metadata": {},
+   "source": [
+    "![alt text](DL-Flowchart.png \"Title\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "550323c7",
+   "metadata": {},
+   "source": [
+    "Each component can be switched out individually to suit your needs. As you might expect, the preprocessor takes in raw data and prepares it for the model, the model performs the prediction or training, and the postprocessor takes prediction results and turns them into human-readable results. \n",
+    "\n",
+    "Now let's run some examples. Start by importing all the requirements."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "scientific-stevens",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "import tensorflow as tf\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5125b215",
+   "metadata": {},
+   "source": [
+    "## Structured Data Prediction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "wicked-devon",
+   "metadata": {},
+   "source": [
+    "We'll use the aws honeypot dataset in the test folder for this example. First, look at the data using the Data Reader class of the Data Profiler. This dataset is from the US department of educations, [found here!](https://data.ed.gov/dataset/college-scorecard-all-data-files-through-6-2020/resources?resource=823ac095-bdfc-41b0-b508-4e8fc3110082)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "adjusted-native",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/SchoolDataSmall.csv\")\n",
+    "df_data = data.data\n",
+    "df_data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ab6ccf8a",
+   "metadata": {},
+   "source": [
+    "We can directly predict the labels of a structured dataset on the cell level."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "19529af4",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "labeler = dp.DataLabeler(labeler_type='structured')\n",
+    "\n",
+    "# print out the labels and label mapping\n",
+    "print(\"Labels: {}\".format(labeler.labels)) \n",
+    "print(\"\\n\")\n",
+    "print(\"Label Mapping: {}\".format(labeler.label_mapping))\n",
+    "print(\"\\n\")\n",
+    "\n",
+    "# make predictions and get labels for each cell going row by row\n",
+    "# predict options are model dependent and the default model can show prediction confidences\n",
+    "predictions = labeler.predict(data, predict_options={\"show_confidences\": True})\n",
+    "\n",
+    "# display prediction results\n",
+    "print(\"Predictions: {}\".format(predictions['pred']))\n",
+    "print(\"\\n\")\n",
+    "\n",
+    "# display confidence results\n",
+    "print(\"Confidences: {}\".format(predictions['conf']))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2af72e2c",
+   "metadata": {},
+   "source": [
+    "The profiler uses the Labeler to perform column by column predictions. The data contains 11 columns, each of which has  data label. Next, we will use the Labeler of the Data Profiler to predict the label for each column in this tabular dataset. Since we are only going to demo the labeling functionality, other options of the Data Profiler are disabled to keep this quick."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d6cb9d7e-149a-4cfe-86f8-76c47c57aeea",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# helper functions for printing results\n",
+    "\n",
+    "def get_structured_results(results):\n",
+    "    \"\"\"Helper function to get data labels for each column.\"\"\"\n",
+    "    columns = []\n",
+    "    predictions = []\n",
+    "    samples = []\n",
+    "    for col in results['data_stats']:\n",
+    "        columns.append(col['column_name'])\n",
+    "        predictions.append(col['data_label'])\n",
+    "        samples.append(col['samples'])\n",
+    "\n",
+    "    df_results = pd.DataFrame({'Column': columns, 'Prediction': predictions, 'Sample': samples})\n",
+    "    return df_results\n",
+    "\n",
+    "def get_unstructured_results(data, results):\n",
+    "    \"\"\"Helper function to get data labels for each labeled piece of text.\"\"\"\n",
+    "    labeled_data = []\n",
+    "    for pred in results['pred'][0]:\n",
+    "        labeled_data.append([data[0][pred[0]:pred[1]], pred[2]])\n",
+    "    label_df = pd.DataFrame(labeled_data, columns=['Text', 'Labels'])\n",
+    "    return label_df\n",
+    "    \n",
+    "\n",
+    "pd.set_option('display.width', 100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "secret-million",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# set options to only run the labeler\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({\"structured_options.text.is_enabled\": False, \n",
+    "                     \"int.is_enabled\": False, \n",
+    "                     \"float.is_enabled\": False, \n",
+    "                     \"order.is_enabled\": False, \n",
+    "                     \"category.is_enabled\": False, \n",
+    "                     \"chi2_homogeneity.is_enabled\": False,\n",
+    "                     \"datetime.is_enabled\": False,})\n",
+    "\n",
+    "profile = dp.Profiler(data, options=profile_options)\n",
+    "\n",
+    "results = profile.report()    \n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fatty-louisville",
+   "metadata": {},
+   "source": [
+    "In this example, the results show that the Data Profiler is able to detect integers, URLs, address, and floats appropriately. Unknown is typically strings of text, which is appropriate for those columns."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "unavailable-diploma",
+   "metadata": {},
+   "source": [
+    "## Unstructured Data Prediction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "metallic-coaching",
+   "metadata": {},
+   "source": [
+    "Besides structured data, the Labeler detects the sensitive information on the unstructured text. We use a sample of spam email in Enron email dataset for this demo. As above, we start investigating the content of the given email sample."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "unauthorized-lounge",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# load data\n",
+    "data = \"Message-ID: <11111111.1111111111111.JavaMail.evans@thyme>\\n\" + \\\n",
+    "        \"Date: Fri, 10 Aug 2005 11:31:37 -0700 (PDT)\\n\" + \\\n",
+    "        \"From: w..smith@company.com\\n\" + \\\n",
+    "        \"To: john.smith@company.com\\n\" + \\\n",
+    "        \"Subject: RE: ABC\\n\" + \\\n",
+    "        \"Mime-Version: 1.0\\n\" + \\\n",
+    "        \"Content-Type: text/plain; charset=us-ascii\\n\" + \\\n",
+    "        \"Content-Transfer-Encoding: 7bit\\n\" + \\\n",
+    "        \"X-From: Smith, Mary W. </O=ENRON/OU=NA/CN=RECIPIENTS/CN=SSMITH>\\n\" + \\\n",
+    "        \"X-To: Smith, John </O=ENRON/OU=NA/CN=RECIPIENTS/CN=JSMITH>\\n\" + \\\n",
+    "        \"X-cc: \\n\" + \\\n",
+    "        \"X-bcc: \\n\" + \\\n",
+    "        \"X-Folder: \\SSMITH (Non-Privileged)\\Sent Items\\n\" + \\\n",
+    "        \"X-Origin: Smith-S\\n\" + \\\n",
+    "        \"X-FileName: SSMITH (Non-Privileged).pst\\n\\n\" + \\\n",
+    "        \"All I ever saw was the e-mail from the office.\\n\\n\" + \\\n",
+    "        \"Mary\\n\\n\" + \\\n",
+    "        \"-----Original Message-----\\n\" + \\\n",
+    "        \"From:   Smith, John  \\n\" + \\\n",
+    "        \"Sent:   Friday, August 10, 2005 13:07 PM\\n\" + \\\n",
+    "        \"To:     Smith, Mary W.\\n\" + \\\n",
+    "        \"Subject:        ABC\\n\\n\" + \\\n",
+    "        \"Have you heard any more regarding the ABC sale? I guess that means that \" + \\\n",
+    "        \"it's no big deal here, but you think they would have send something.\\n\\n\\n\" + \\\n",
+    "        \"John Smith\\n\" + \\\n",
+    "        \"123-456-7890\\n\"\n",
+    "\n",
+    "# convert string data to list to feed into the labeler\n",
+    "data = [data]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "concerned-segment",
+   "metadata": {},
+   "source": [
+    "By default, the Labeler predicts the results at the character level for unstructured text."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "junior-acrobat",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "labeler = dp.DataLabeler(labeler_type='unstructured')\n",
+    "\n",
+    "# make predictions and get labels per character\n",
+    "predictions = labeler.predict(data)\n",
+    "\n",
+    "# display results\n",
+    "print(predictions['pred'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "individual-diabetes",
+   "metadata": {},
+   "source": [
+    "In addition to the character-level result, the Labeler provides the results at the word level following the standard NER (Named Entity Recognition), e.g., utilized by spaCy. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "optical-universe",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# convert prediction to word format and ner format\n",
+    "# Set the output to the NER format (start position, end position, label)\n",
+    "labeler.set_params(\n",
+    "    { 'postprocessor': { 'output_format':'ner', 'use_word_level_argmax':True } } \n",
+    ")\n",
+    "\n",
+    "# make predictions and get labels per character\n",
+    "predictions = labeler.predict(data)\n",
+    "\n",
+    "# display results\n",
+    "print('\\n')\n",
+    "print('=======================Prediction======================\\n')\n",
+    "for pred in predictions['pred'][0]:\n",
+    "    print('{}: {}'.format(data[0][pred[0]: pred[1]], pred[2]))\n",
+    "    print('--------------------------------------------------------')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "behavioral-tourism",
+   "metadata": {},
+   "source": [
+    "Here, the Labeler is able to identify sensitive information such as datetime, email address, person names, and phone number in an email sample. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "nasty-disney",
+   "metadata": {},
+   "source": [
+    "## Train the Labeler from Scratch"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "destroyed-twist",
+   "metadata": {},
+   "source": [
+    "The Labeler can be trained from scratch with a new list of labels. Below, we show an example of training the Labeler on a dataset with labels given as the columns of that dataset. For brevity's sake, let's only train a few epochs with a subset of a dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "utility-evaluation",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/SchoolDataSmall.csv\")\n",
+    "df = data.data[[\"OPEID6\", \"INSTURL\", \"SEARCH_STRING\"]]\n",
+    "df.head()\n",
+    "\n",
+    "# split data to training and test set\n",
+    "split_ratio = 0.2\n",
+    "df = df.sample(frac=1).reset_index(drop=True)\n",
+    "data_train = df[:int((1 - split_ratio) * len(df))]\n",
+    "data_test = df[int((1 - split_ratio) * len(df)):]\n",
+    "\n",
+    "# train a new labeler with column names as labels\n",
+    "if not os.path.exists('data_labeler_saved'):\n",
+    "    os.makedirs('data_labeler_saved')\n",
+    "\n",
+    "labeler = dp.train_structured_labeler(\n",
+    "    data=data_train,\n",
+    "    save_dirpath=\"data_labeler_saved\",\n",
+    "    epochs=10,\n",
+    "    default_label=\"OPEID6\"\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "utility-torture",
+   "metadata": {},
+   "source": [
+    "The trained Labeler is then used by the Data Profiler to provide the prediction on the new dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "answering-panel",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predict with the labeler object\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_object': labeler})\n",
+    "profile = dp.Profiler(data_test, options=profile_options)\n",
+    "\n",
+    "# get the prediction from the data profiler\n",
+    "results = profile.report()\n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "polish-stand",
+   "metadata": {},
+   "source": [
+    "Another way to use the trained Labeler is through the directory path of the saved labeler."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "industrial-characterization",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# predict with the labeler loaded from path\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_dirpath': 'data_labeler_saved'})\n",
+    "profile = dp.Profiler(data_test, options=profile_options)\n",
+    "\n",
+    "# get the prediction from the data profiler\n",
+    "results = profile.report()\n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2acedba0",
+   "metadata": {},
+   "source": [
+    "## Transfer Learning a Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2f15fb1f",
+   "metadata": {},
+   "source": [
+    "Instead of training a model from scratch, we can also transfer learn to improve the model and/or extend the labels. Again for brevity's sake, let's only train a few epochs with a small dataset at the cost of accuracy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0104c374",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/SchoolDataSmall.csv\")\n",
+    "df_data = data.data[[\"OPEID6\", \"INSTURL\", \"SEARCH_STRING\"]]\n",
+    "\n",
+    "\n",
+    "# prep data\n",
+    "df_data = df_data.reset_index(drop=True).melt()\n",
+    "df_data.columns = [1, 0]  # labels=1, values=0 in that order\n",
+    "df_data = df_data.astype(str)\n",
+    "new_labels = df_data[1].unique().tolist()\n",
+    "\n",
+    "# load structured Labeler w/ trainable set to True\n",
+    "labeler = dp.DataLabeler(labeler_type='structured', trainable=True)\n",
+    "\n",
+    "# Reconstruct the model to add each new label\n",
+    "for label in new_labels:\n",
+    "    labeler.add_label(label)\n",
+    "\n",
+    "# this will use transfer learning to retrain the labeler on your new\n",
+    "# dataset and labels.\n",
+    "# Setting labels with a list of labels or label mapping will overwrite the existing labels with new ones\n",
+    "# Setting the reset_weights parameter to false allows transfer learning to occur\n",
+    "model_results = labeler.fit(x=df_data[0], y=df_data[1], validation_split=0.2, \n",
+    "                                 epochs=10, labels=None, reset_weights=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ae78745f",
+   "metadata": {},
+   "source": [
+    "Let's display the training results of the last epoch:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b764aa8c",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "print(\"{:16s}  Precision  Recall  F1-score  Support\".format(\"\"))\n",
+    "for item in model_results[-1][2]:\n",
+    "    print(\"{:16s}  {:4.3f}      {:4.3f}   {:4.3f}     {:7.0f}\".format(item,\n",
+    "                                                                      model_results[-1][2][item][\"precision\"],\n",
+    "                                                                      model_results[-1][2][item][\"recall\"],\n",
+    "                                                                      model_results[-1][2][item][\"f1-score\"],\n",
+    "                                                                      model_results[-1][2][item][\"support\"]))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "44009522",
+   "metadata": {},
+   "source": [
+    "It is now trained to detect additional labels! The model results here show all the labels training accuracy. Since only new labels existed in the dataset, only the new labels are given accuracy scores. Keep in mind this is a small dataset for brevity's sake and that real training would involve more samples and better results."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e110ee1c",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c484d193",
+   "metadata": {},
+   "source": [
+    "The Labeler can easily be saved or loaded with one simple line."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4d8684fa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Ensure save directory exists\n",
+    "if not os.path.exists('my_labeler'):\n",
+    "    os.makedirs('my_labeler')\n",
+    "\n",
+    "# Saving the labeler\n",
+    "labeler.save_to_disk(\"my_labeler\")\n",
+    "\n",
+    "# Loading the labeler\n",
+    "labeler = dp.DataLabeler(labeler_type='structured', dirpath=\"my_labeler\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8d36dec8",
+   "metadata": {},
+   "source": [
+    "## Building a Labeler from the Ground Up"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "59346d2b",
+   "metadata": {},
+   "source": [
+    "As mentioned earlier, the labeler is comprised of three components, and each of the compenents can be created and interchanged in the the labeler pipeline."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6506ef97",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import random\n",
+    "from dataprofiler.labelers.character_level_cnn_model import \\\n",
+    "    CharacterLevelCnnModel\n",
+    "from dataprofiler.labelers.data_processing import \\\n",
+    "    StructCharPreprocessor, StructCharPostprocessor\n",
+    "\n",
+    "model = CharacterLevelCnnModel({\"PAD\":0, \"UNKNOWN\":1, \"Test_Label\":2})\n",
+    "preprocessor = StructCharPreprocessor()\n",
+    "postprocessor = StructCharPostprocessor()\n",
+    "\n",
+    "labeler = dp.DataLabeler(labeler_type='structured')\n",
+    "labeler.set_preprocessor(preprocessor)\n",
+    "labeler.set_model(model)\n",
+    "labeler.set_postprocessor(postprocessor)\n",
+    "\n",
+    "# check for basic compatibility between the processors and the model\n",
+    "labeler.check_pipeline()\n",
+    "\n",
+    "# Optionally set the parameters\n",
+    "parameters={\n",
+    "    'preprocessor':{\n",
+    "        'max_length': 100,\n",
+    "    },\n",
+    "    'model':{\n",
+    "        'max_length': 100,\n",
+    "    },\n",
+    "    'postprocessor':{\n",
+    "        'random_state': random.Random(1)\n",
+    "    }\n",
+    "} \n",
+    "labeler.set_params(parameters)\n",
+    "\n",
+    "labeler.help()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5f020d7f",
+   "metadata": {},
+   "source": [
+    "The components can each be created if you inherit the BaseModel and BaseProcessor for the model and processors, respectively. More info can be found about coding your own components in the Labeler section of the [documentation]( https://capitalone.github.io/dataprofiler). In summary, the Data Profiler open source library can be used to scan sensitive information in both structured and unstructured data with different file types. It supports multiple input formats and output formats at word and character levels. Users can also train the labeler on their own datasets."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/doctrees/nbsphinx/merge_profile_list.ipynb b/docs/0.10.5/doctrees/nbsphinx/merge_profile_list.ipynb
new file mode 100644
index 000000000..7a6d8005a
--- /dev/null
+++ b/docs/0.10.5/doctrees/nbsphinx/merge_profile_list.ipynb
@@ -0,0 +1,159 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "60af5256",
+   "metadata": {},
+   "source": [
+    "# Merge List of Profiles\n",
+    "\n",
+    "This is an example of a new utils in the dataprofiler for distributed merging of profile objects. This assumes the user is providing a list of profile objects to the utils function for merging all the profiles together."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7eee37ff",
+   "metadata": {},
+   "source": [
+    "## Imports\n",
+    "\n",
+    "Let's start by importing the necessary packages..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f0d27009",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "\n",
+    "import pandas as pd\n",
+    "import tensorflow as tf\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "    from dataprofiler.profilers.profiler_utils import merge_profile_list\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "    from dataprofiler.profilers.profiler_utils import merge_profile_list\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4369e64",
+   "metadata": {},
+   "source": [
+    "## Setup the Data and Profiler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "410c3c4d",
+   "metadata": {},
+   "source": [
+    "This section shows the basic example of the Data Profiler. \n",
+    "\n",
+    "1. Instantiate a Pandas dataframe with dummy data\n",
+    "2. Pass the dataframe to the `Profiler` and instantiate two separate profilers in a list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d3567c82",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "d = {'col1': [1, 2], 'col2': [3, 4]}\n",
+    "df = pd.DataFrame(data=d)\n",
+    "\n",
+    "list_of_profiles = [dp.Profiler(df), dp.Profiler(df)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "350502eb",
+   "metadata": {},
+   "source": [
+    "Take a look at the list of profiles... "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b649db32",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "list_of_profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4ed4fc12",
+   "metadata": {},
+   "source": [
+    "## Run Merge on List of Profiles\n",
+    "\n",
+    "Now let's merge the list of profiles into a `single_profile`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4a636047",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "single_profile = merge_profile_list(list_of_profiles=list_of_profiles)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0aa88720",
+   "metadata": {},
+   "source": [
+    "And check out the `.report` on the single profile:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "34059c21",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "single_profile.report()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "dataprofiler",
+   "language": "python",
+   "name": "dataprofiler"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/doctrees/nbsphinx/overview.ipynb b/docs/0.10.5/doctrees/nbsphinx/overview.ipynb
new file mode 100644
index 000000000..d5e77abe4
--- /dev/null
+++ b/docs/0.10.5/doctrees/nbsphinx/overview.ipynb
@@ -0,0 +1,470 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "fc2826d9",
+   "metadata": {},
+   "source": [
+    "# Data Profiler - What's in your data?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b997522b",
+   "metadata": {},
+   "source": [
+    "This introductory jupyter notebook demonstrates the basic usages of the Data Profiler. The library is designed to easily detect sensitive data and gather statistics on your datasets with just several lines of code. The Data Profiler can handle several different data types including: CSV (or any delimited file), JSON, Parquet, AVRO, and text. Additionally, there are a plethora of options to customize your profile. This library also has the ability to update profiles from multiple batches of large datasets, or merge multiple profiles. In particular, this example covers the followings:\n",
+    "\n",
+    "- Basic usage of the Data Profiler\n",
+    "- The data reader class\n",
+    "- Profiler options\n",
+    "- Updating profiles and merging profiles\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ef404c84",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "sys.path.insert(0, '..')\n",
+    "import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f51971e3",
+   "metadata": {},
+   "source": [
+    "## Basic Usage of the Data Profiler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "639e66d3",
+   "metadata": {},
+   "source": [
+    "This section shows the basic example of the Data Profiler. A CSV dataset is read using the data reader, then the Data object is given to the Data Profiler to detect sensitive data and obtain the statistics."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5379c45c",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "print(data.data.head())\n",
+    "\n",
+    "# run data profiler and get the report\n",
+    "profile = dp.Profiler(data)\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "57fe2827",
+   "metadata": {},
+   "source": [
+    "The report includes `global_stats` and `data_stats` for the given dataset. The former contains overall properties of the data such as number of rows/columns, null ratio, duplicate ratio, while the latter contains specific properties and statistics for each column such as detected data label, min, max, mean, variance, etc. In this example, the `compact` format of the report is used to shorten the full list of the results. To get more results related to detailed predictions at the entity level from the Data Labeler component or histogram results, the format `pretty` should be used."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74027cfd",
+   "metadata": {},
+   "source": [
+    "## Data reader class"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "41364888",
+   "metadata": {},
+   "source": [
+    "DataProfiler can detect multiple file types including CSV (or any delimited file), JSON, Parquet, AVRO, and text. The example below shows that it successfully detects data types from multiple categories regardless of the file extensions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "823829f4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data with different file types\n",
+    "csv_files = [\n",
+    "    \"csv/aws_honeypot_marx_geo.csv\",\n",
+    "    \"csv/all-strings-skip-header-author.csv\", # csv files with the author/description on the first line\n",
+    "    \"csv/sparse-first-and-last-column-empty-first-row.txt\", # csv file with the .txt extension\n",
+    "]\n",
+    "json_files = [\n",
+    "    \"json/complex_nested.json\",\n",
+    "    \"json/honeypot_intentially_mislabeled_file.csv\", # json file with the .csv extension\n",
+    "]\n",
+    "parquet_files = [\n",
+    "    \"parquet/nation.dict.parquet\",\n",
+    "    \"parquet/nation.plain.intentionally_mislabled_file.csv\", # parquet file with the .csv extension\n",
+    "]\n",
+    "avro_files = [\n",
+    "    \"avro/userdata1.avro\",\n",
+    "    \"avro/userdata1_intentionally_mislabled_file.json\", # avro file with the .json extension\n",
+    "]\n",
+    "text_files = [\n",
+    "    \"txt/discussion_reddit.txt\",\n",
+    "]\n",
+    "\n",
+    "all_files = {\n",
+    "    \"csv\": csv_files,\n",
+    "    \"json\": json_files,\n",
+    "    \"parquet\": parquet_files,\n",
+    "    \"avro\": avro_files,\n",
+    "    \"text\": text_files\n",
+    "}\n",
+    "\n",
+    "for file_type in all_files:\n",
+    "    print(file_type)\n",
+    "    for file in all_files[file_type]:\n",
+    "        data = dp.Data(os.path.join(data_path, file))\n",
+    "        print(\"{:<85} {:<15}\".format(file, data.data_type))\n",
+    "    print(\"\\n\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3f9d7e02",
+   "metadata": {},
+   "source": [
+    "The `Data` class detects the file type and uses one of the following classes: `CSVData`, `JSONData`, `ParquetData`, `AVROData`, `TextData`. Users can call these specific classes directly if desired. For example, below we provide a collection of data with different types, each of them is processed by the corresponding data class."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "831e68a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use individual data reader classes\n",
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "from dataprofiler.data_readers.json_data import JSONData\n",
+    "from dataprofiler.data_readers.parquet_data import ParquetData\n",
+    "from dataprofiler.data_readers.avro_data import AVROData\n",
+    "from dataprofiler.data_readers.text_data import TextData\n",
+    "\n",
+    "csv_files = \"csv/aws_honeypot_marx_geo.csv\"\n",
+    "json_files = \"json/complex_nested.json\"\n",
+    "parquet_files = \"parquet/nation.dict.parquet\"\n",
+    "avro_files = \"avro/userdata1.avro\"\n",
+    "text_files = \"txt/discussion_reddit.txt\"\n",
+    "\n",
+    "all_files = {\n",
+    "    \"csv\": [csv_files, CSVData],\n",
+    "    \"json\": [json_files, JSONData],\n",
+    "    \"parquet\": [parquet_files, ParquetData],\n",
+    "    \"avro\": [avro_files, AVROData],\n",
+    "    \"text\": [text_files, TextData],\n",
+    "}\n",
+    "\n",
+    "for file_type in all_files:\n",
+    "    file, data_reader = all_files[file_type]\n",
+    "    data = data_reader(os.path.join(data_path, file))\n",
+    "    print(\"File name {}\\n\".format(file))\n",
+    "    if file_type == \"text\":\n",
+    "        print(data.data[0][:1000]) # print the first 1000 characters\n",
+    "    else:\n",
+    "        print(data.data)\n",
+    "    print('===============================================================================')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "572df0a8",
+   "metadata": {},
+   "source": [
+    "In addition to reading the input data from multiple file types, the Data Profiler allows the input data as a dataframe."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "df87ab83",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# run data profiler and get the report\n",
+    "my_dataframe = pd.DataFrame([[1, 2.0],[1, 2.2],[-1, 3]], columns=[\"col_int\", \"col_float\"])\n",
+    "profile = dp.Profiler(my_dataframe)\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "84a06312",
+   "metadata": {},
+   "source": [
+    "## Structured Profiler vs. Unstructured Profiler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4c0ea925",
+   "metadata": {},
+   "source": [
+    "The profiler will infer what type of statistics to generate (structured or unstructured) based on the input. However, you can explicitly specify profile type as well. Here is an example of the the profiler explicitly calling the structured profile and the unstructured profile."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5f4565d8",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Using the structured profiler\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "profile = dp.Profiler(data, profiler_type='structured')\n",
+    "\n",
+    "report = profile.report(report_options={\"output_format\": \"pretty\"})\n",
+    "print(json.dumps(report, indent=4))\n",
+    "\n",
+    "# Using the unstructured profiler\n",
+    "my_dataframe = pd.DataFrame([[\"Sample1\"],[\"Sample2\"],[\"Sample3\"]], columns=[\"Text_Samples\"])\n",
+    "profile = dp.Profiler(my_dataframe, profiler_type='unstructured')\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b16648ba",
+   "metadata": {},
+   "source": [
+    "## Profiler options"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8b0cc8ad",
+   "metadata": {},
+   "source": [
+    "The Data Profiler can enable/disable statistics and modify features through profiler options. For example, if the users only want the statistics information, they may turn off the Data Labeler functionality. Below, let's remove the histogram and data labeler component while running Data Profiler."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bbac3a2c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({\"histogram_and_quantiles.is_enabled\": False,\n",
+    "                     \"median_abs_deviation.is_enabled\": False,\n",
+    "                     \"median.is_enabled\": False,\n",
+    "                     \"mode.is_enabled\": False,\n",
+    "                     \"data_labeler.is_enabled\": False,})\n",
+    "\n",
+    "profile = dp.Profiler(my_dataframe, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "590ca50b",
+   "metadata": {},
+   "source": [
+    "Besides toggling on and off features, other options like the data labeler sample size or histogram bin method can be directly set and validated as shown here:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4ed21bc1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.structured_options.data_labeler.sample_size = 1\n",
+    "profile_options.structured_options.int.histogram_and_quantiles.bin_count_or_method = \"rice\"\n",
+    "# An error will raise if the options are set incorrectly.\n",
+    "profile_options.validate()\n",
+    "\n",
+    "profile = dp.Profiler(my_dataframe, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9f690616",
+   "metadata": {},
+   "source": [
+    "## Update profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "965f8c85",
+   "metadata": {},
+   "source": [
+    "One of the interesting features of the Data Profiler is the ability to update profiles from batches of data, which allows for data streaming usage. In this section, the original dataset is separated into two batches with equal size. Each batch is then updated with Data Profiler sequentially.  \n",
+    "\n",
+    "After the update, we expect the resulted profiles give the same statistics as the profiles updated from the full dataset. We will verify that through some properties in `global_stats` of the profiles including `column_count`, `row_count`, `row_is_null_ratio`, `duplicate_row_count`. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "34ac4346",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# read the input data and devide it into two equal halves\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "df = data.data\n",
+    "df1 = df.iloc[:int(len(df)/2)]\n",
+    "df2 = df.iloc[int(len(df)/2):]\n",
+    "\n",
+    "# Update the profile with the first half\n",
+    "profile = dp.Profiler(df1)\n",
+    "\n",
+    "# Update the profile with the second half\n",
+    "profile.update_profile(df2)\n",
+    "\n",
+    "# Update profile with the full dataset\n",
+    "profile_full = dp.Profiler(df)\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "report_full  = profile_full.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# print the report\n",
+    "print(json.dumps(report, indent=4))\n",
+    "print(json.dumps(report_full, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b41ee2bf",
+   "metadata": {},
+   "source": [
+    "You can see that the profiles are exactly the same whether they are broken into several updates or not."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c547f051",
+   "metadata": {},
+   "source": [
+    "## Merge profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a5292962",
+   "metadata": {},
+   "source": [
+    "In addition to the profile update, Data Profiler provides the merging functionality which allows users to combine the profiles updated from multiple locations. This enables Data Profiler to be used in a distributed computing environment. Below, we assume that the two aforementioned halves of the original dataset come from two different machines. Each of them is then updated with the Data Profiler on the same machine, then the resulted profiles are merged.\n",
+    "\n",
+    "As with the profile update, we expect the merged profiles give the same statistics as the profiles updated from the full dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a565b8d1",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# Update the profile with the first half\n",
+    "profile1 = dp.Profiler(df1)\n",
+    "\n",
+    "# Update the profile with the second half\n",
+    "profile2 = dp.Profiler(df2)\n",
+    "\n",
+    "# merge profiles\n",
+    "profile_merge = profile1 + profile2\n",
+    "\n",
+    "# check results of the merged profile\n",
+    "report_merge  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# print the report\n",
+    "print(json.dumps(report_merge, indent=4))\n",
+    "print(json.dumps(report_full, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b77fac3f",
+   "metadata": {},
+   "source": [
+    "You can see that the profiles are exactly the same!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c644ee42",
+   "metadata": {},
+   "source": [
+    "## Conclusion\n",
+    "\n",
+    "We have walked through some basic examples of Data Profiler usage, with different input data types and profiling options. We also work with update and merging functionality of the Data Profiler, which make it applicable for data streaming and distributed environment. Interested users can try with different datasets and functionalities as desired."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/doctrees/nbsphinx/popmon_dp_loader_example.ipynb b/docs/0.10.5/doctrees/nbsphinx/popmon_dp_loader_example.ipynb
new file mode 100644
index 000000000..3ddb267da
--- /dev/null
+++ b/docs/0.10.5/doctrees/nbsphinx/popmon_dp_loader_example.ipynb
@@ -0,0 +1,416 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "7f0cceea",
+   "metadata": {},
+   "source": [
+    "# Dataloader with Popmon Reports"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9e79d9c5",
+   "metadata": {},
+   "source": [
+    "This demo is to cover the usage of popmon with the dataloader from the dataprofiler\n",
+    "\n",
+    "This demo covers the followings:\n",
+    "\n",
+    "    - How to install popmon\n",
+    "    - Comparison of the dynamic dataloader from dataprofiler to the \n",
+    "        standard dataloader used in pandas\n",
+    "    - Popmon's usage example using both dataloaders\n",
+    "    - Dataprofiler's examples using both dataloaders\n",
+    "    - Usage of the pm_stability_report function (popmon reports)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aec2198a",
+   "metadata": {},
+   "source": [
+    "## How to Install Popmon\n",
+    "To install popmon you can use the command below:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4383ed2a",
+   "metadata": {},
+   "source": [
+    "`pip3 install popmon`\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91dedc34",
+   "metadata": {},
+   "source": [
+    "From here, we can import the libararies needed for this demo."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2adec556",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "import pandas as pd\n",
+    "import popmon  # noqa"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ed532ec",
+   "metadata": {},
+   "source": [
+    "## Comparison of Dataloaders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cccbf4cd",
+   "metadata": {},
+   "source": [
+    "First, we have the original pandas dataloading which works for specific file types. \n",
+    "This is good for if the data format is known ahead of time but is less useful for more dynamic cases."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "96e9ff89",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def popmon_dataloader(path, time_index):\n",
+    "    # Load pm dataframe (Can only read csvs unless reader option is changed)\n",
+    "    if not time_index is None:\n",
+    "        pm_data = pd.read_csv(path, parse_dates=[time_index])\n",
+    "    else:\n",
+    "        time_index = True\n",
+    "        pm_data = pd.read_csv(path)\n",
+    "    return pm_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "16dfbe10",
+   "metadata": {},
+   "source": [
+    "Next, we have the dataprofiler's dataloader. This allows for the dynamic loading of different data formats which is super useful when the data format is not know ahead of time.\n",
+    "This is intended to be an improvement on the dataloader standardly used in pandas."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "07481259",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def dp_dataloader(path):\n",
+    "    # Datalaoder from dataprofiler used\n",
+    "    dp_data = dp.Data(path)\n",
+    "    \n",
+    "    # Profiler used to ensure proper label for datetime even \n",
+    "    # when null values exist\n",
+    "    profiler_options = dp.ProfilerOptions()\n",
+    "    profiler_options.set({'*.is_enabled': False,  # Runs first disabling all options in profiler\n",
+    "                          '*.datetime.is_enabled': True})\n",
+    "    profile = dp.Profiler(dp_data, options=profiler_options)\n",
+    "\n",
+    "    # convert any time/datetime types from strings to actual datatime type\n",
+    "    for ind, col in enumerate(dp_data.data.columns):\n",
+    "        if profile.profile[ind].profile.get('data_type') == 'datetime':\n",
+    "            dp_data.data[col] = pd.to_datetime(dp_data.data[col])\n",
+    "\n",
+    "    return dp_data.data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69a8ea9b",
+   "metadata": {},
+   "source": [
+    "## Popmon's usage example using both dataloaders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff914ca7",
+   "metadata": {},
+   "source": [
+    "Next, we'll download a dataset from the resources component"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bff33da8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import gzip\n",
+    "import shutil\n",
+    "popmon_tutorial_data = popmon.resources.data(\"flight_delays.csv.gz\")\n",
+    "with gzip.open(popmon_tutorial_data, 'rb') as f_in:\n",
+    "    with open('./flight_delays.csv', 'wb') as f_out:\n",
+    "        shutil.copyfileobj(f_in, f_out)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19222c4a",
+   "metadata": {},
+   "source": [
+    "Finally we read in the data with popmon and print the report to a file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0090a2f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Default csv from popmon example\n",
+    "path = \"./flight_delays.csv\"\n",
+    "time_index = \"DATE\"\n",
+    "report_output_dir = \"./popmon_output/flight_delays_full\"\n",
+    "if not os.path.exists(report_output_dir):\n",
+    "    os.makedirs(report_output_dir)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d0abcd9b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pm_data = popmon_dataloader(path, time_index)\n",
+    "\n",
+    "report_pm_loader = pm_data.pm_stability_report(\n",
+    "    time_axis=time_index,\n",
+    "    time_width=\"1w\",\n",
+    "    time_offset=\"2015-07-02\",\n",
+    "    extended_report=False,\n",
+    "    pull_rules={\"*_pull\": [10, 7, -7, -10]},\n",
+    ")\n",
+    "\n",
+    "# Save popmon reports\n",
+    "report_pm_loader.to_file(os.path.join(report_output_dir, \"popmon_loader_report.html\"))\n",
+    "print(\"Report printed at:\", os.path.join(report_output_dir, \"popmon_loader_report.html\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2303b5cf",
+   "metadata": {},
+   "source": [
+    "We then do the same for the dataprofiler loader"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f2854383",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dp_dataframe = dp_dataloader(path)\n",
+    "# Generate pm report using dp dataloader\n",
+    "report_dp_loader = dp_dataframe.pm_stability_report(\n",
+    "    time_axis=time_index,\n",
+    "    time_width=\"1w\",\n",
+    "    time_offset=\"2015-07-02\",\n",
+    "    extended_report=False,\n",
+    "    pull_rules={\"*_pull\": [10, 7, -7, -10]},\n",
+    ")\n",
+    "\n",
+    "# Save popmon reports\n",
+    "report_dp_loader.to_file(os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))\n",
+    "print(\"Report printed at:\", os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8cc4e5f3",
+   "metadata": {},
+   "source": [
+    "## Examples of data\n",
+    "Next, We'll use some data from the test files of the data profiler to compare the dynamic loading of the dataprofiler's data loader to that of the standard pandas approach. \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "352eaeea",
+   "metadata": {},
+   "source": [
+    "## Dataprofiler's examples using both dataloaders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e99af913",
+   "metadata": {},
+   "source": [
+    "To execute this properly, simply choose one of the 3 examples below and then run the report generation below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "80eb601d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Default csv from popmon example (mini version)\n",
+    "path = \"../dataprofiler/tests/data/csv/flight_delays.csv\"\n",
+    "time_index = \"DATE\"\n",
+    "report_output_dir = \"./popmon_output/flight_delays_mini\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0c127288",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Random csv from dataprofiler tests\n",
+    "path = \"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\"\n",
+    "time_index = \"datetime\"\n",
+    "report_output_dir = \"./popmon_output/aws_honeypot_marx_geo\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6cd5c385",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Random json file from dataprofiler tests\n",
+    "path = \"../dataprofiler/tests/data/json/math.json\"\n",
+    "\n",
+    "time_index = \"data.9\"\n",
+    "report_output_dir = \"./popmon_output/math\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ec860cb7",
+   "metadata": {},
+   "source": [
+    "Run the block below to create an output directory for your popmon reports."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cf21835c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not os.path.exists(report_output_dir):\n",
+    "    os.makedirs(report_output_dir)\n",
+    "dp_dataframe = dp_dataloader(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "479975a5",
+   "metadata": {},
+   "source": [
+    "## Report comparison"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "02a355e7",
+   "metadata": {},
+   "source": [
+    "We generate reports using different sets of data from the dataprofiler and pandas below using dataprofiler's dataloader and popmons report generator\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ce69145",
+   "metadata": {},
+   "source": [
+    "The dataprofiler's dataloader can seemlessly switch between data formats and generate reports with the exact same code in place."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a0dcb405",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# Generate pm report using dp dataloader\n",
+    "report_dp_loader = dp_dataframe.pm_stability_report(\n",
+    "    time_axis=time_index,\n",
+    "    time_width=\"1w\",\n",
+    "    time_offset=\"2015-07-02\",\n",
+    "    extended_report=False,\n",
+    "    pull_rules={\"*_pull\": [10, 7, -7, -10]},\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9eb0035c",
+   "metadata": {},
+   "source": [
+    "If the dataloaders are valid, you can see the reports and compare them at the output directory specified in the printout below each report generation block (the two code blocks below)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "efe7d8d6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Save dp reports\n",
+    "report_dp_loader.to_file(os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))\n",
+    "print(\"Report printed at:\", os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/doctrees/nbsphinx/profiler_example.ipynb b/docs/0.10.5/doctrees/nbsphinx/profiler_example.ipynb
new file mode 100644
index 000000000..b6a4409c9
--- /dev/null
+++ b/docs/0.10.5/doctrees/nbsphinx/profiler_example.ipynb
@@ -0,0 +1,577 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f37ca393",
+   "metadata": {},
+   "source": [
+    "# Structured Profilers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff9bd095",
+   "metadata": {},
+   "source": [
+    "**Data profiling** - *is the process of examining a dataset and collecting statistical or informational summaries about said dataset.*\n",
+    "\n",
+    "The Profiler class inside the DataProfiler is designed to generate *data profiles* via the Profiler class, which ingests either a Data class or a Pandas DataFrame. \n",
+    "\n",
+    "Currently, the Data class supports loading the following file formats:\n",
+    "\n",
+    "* Any delimited  (CSV, TSV, etc.)\n",
+    "* JSON object\n",
+    "* Avro\n",
+    "* Parquet\n",
+    "* Text files\n",
+    "* Pandas Series/Dataframe\n",
+    "\n",
+    "Once the data is loaded, the Profiler can calculate statistics and predict the entities (via the Labeler) of every column (csv) or key-value (JSON) store as well as dataset wide information, such as the number of nulls, duplicates, etc.\n",
+    "\n",
+    "This example will look at specifically the structured data types for structured profiling. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de58b9c4",
+   "metadata": {},
+   "source": [
+    "## Reporting"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8001185a",
+   "metadata": {},
+   "source": [
+    "One of the primary purposes of the Profiler are to quickly identify what is in the dataset. This can be useful for analyzing a dataset prior to use or determining which columns could be useful for a given purpose.\n",
+    "\n",
+    "In terms of reporting, there are multiple reporting options:\n",
+    "\n",
+    "* **Pretty**: Floats are rounded to four decimal places, and lists are shortened.\n",
+    "* **Compact**: Similar to pretty, but removes detailed statistics such as runtimes, label probabilities, index locations of null types, etc.\n",
+    "* **Serializable**: Output is json serializable and not prettified\n",
+    "* **Flat**: Nested Output is returned as a flattened dictionary\n",
+    "\n",
+    "The **Pretty** and **Compact** reports are the two most commonly used reports and includes `global_stats` and `data_stats` for the given dataset. `global_stats` contains overall properties of the data such as number of rows/columns, null ratio, duplicate ratio. `data_stats` contains specific properties and statistics for each column file such as min, max, mean, variance, etc.\n",
+    "\n",
+    "For structured profiles, the report looks like this:\n",
+    "\n",
+    "```\n",
+    "\"global_stats\": {\n",
+    "    \"samples_used\": int,\n",
+    "    \"column_count\": int,\n",
+    "    \"row_count\": int,\n",
+    "    \"row_has_null_ratio\": float,\n",
+    "    \"row_is_null_ratio\": float,    \n",
+    "    \"unique_row_ratio\": float,\n",
+    "    \"duplicate_row_count\": int,\n",
+    "    \"file_type\": string,\n",
+    "    \"encoding\": string,\n",
+    "},\n",
+    "\"data_stats\": [\n",
+    "    {\n",
+    "        \"column_name\": string,\n",
+    "        \"data_type\": string,\n",
+    "        \"data_label\": string,\n",
+    "        \"categorical\": bool,\n",
+    "        \"order\": string,\n",
+    "        \"samples\": list(str),\n",
+    "        \"statistics\": {\n",
+    "            \"sample_size\": int,\n",
+    "            \"null_count\": int,\n",
+    "            \"null_types\": list(string),\n",
+    "            \"null_types_index\": {\n",
+    "                string: list(int)\n",
+    "            },\n",
+    "            \"data_type_representation\": [string, list(string)],\n",
+    "            \"min\": [null, float],\n",
+    "            \"max\": [null, float],\n",
+    "            \"mean\": float,\n",
+    "            \"variance\": float,\n",
+    "            \"stddev\": float,\n",
+    "            \"histogram\": { \n",
+    "                \"bin_counts\": list(int),\n",
+    "                \"bin_edges\": list(float),\n",
+    "            },\n",
+    "            \"quantiles\": {\n",
+    "                int: float\n",
+    "            }\n",
+    "            \"vocab\": list(char),\n",
+    "            \"avg_predictions\": dict(float), \n",
+    "            \"data_label_representation\": dict(float),\n",
+    "            \"categories\": list(str),\n",
+    "            \"unique_count\": int,\n",
+    "            \"unique_ratio\": float,\n",
+    "            \"precision\": {\n",
+    "                'min': int,\n",
+    "                'max': int,\n",
+    "                'mean': float,\n",
+    "                'var': float,\n",
+    "                'std': float,\n",
+    "                'sample_size': int,\n",
+    "                'margin_of_error': float,\n",
+    "                'confidence_level': float\t\t\n",
+    "            },\n",
+    "            \"times\": dict(float),\n",
+    "            \"format\": string\n",
+    "        }\n",
+    "    }\n",
+    "]\n",
+    "```\n",
+    "\n",
+    "In the example, the `compact` format of the report is used to shorten the full list of the results. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5fcb5447",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\"\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "import tensorflow as tf\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a7fc2df6",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Compact - A high level view, good for quick reviews\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d7ec39d2",
+   "metadata": {},
+   "source": [
+    "It should be noted, in addition to reading the input data from multiple file types, DataProfiler allows the input data as a dataframe. To get more results related to detailed predictions at the entity level from the DataLabeler component or histogram results, the format `pretty` should be used. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "29737f25",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# run data profiler and get the report\n",
+    "import pandas as pd\n",
+    "my_dataframe = pd.DataFrame([[1, 2.0],[1, 2.2],[-1, 3]], columns=[\"col_int\", \"col_float\"])\n",
+    "profile = dp.Profiler(my_dataframe)\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "241f6e3e",
+   "metadata": {},
+   "source": [
+    "## Profiler Type"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5b20879b",
+   "metadata": {},
+   "source": [
+    "The profiler will infer what type of statistics to generate (structured or unstructured) based on the input. However, you can explicitly specify profile type as well. Here is an example of the the profiler explicitly calling the structured profile."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dc44eb47",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "profile = dp.Profiler(data, profiler_type='structured')\n",
+    "\n",
+    "# print the report using json to prettify.\n",
+    "report = profile.report(report_options={\"output_format\": \"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fe02ad64",
+   "metadata": {},
+   "source": [
+    "## Profiler options"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "40804cc9",
+   "metadata": {},
+   "source": [
+    "The DataProfiler has the ability to turn on and off components as needed. This is accomplished via the `ProfilerOptions` class.\n",
+    "\n",
+    "For example, if a user doesn't require histogram information they may desire to turn off the histogram functionality. Simialrly, if a user is looking for a more accurate labeling, they can increase the samples used to label.\n",
+    "\n",
+    "Below, let's remove the histogram and increase the number of samples to the labeler component (1,000 samples). \n",
+    "\n",
+    "Full list of options in the Profiler section of the [DataProfiler documentation](https://capitalone.github.io/DataProfiler/profile_options.html)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d25d899",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/diamonds.csv\"))\n",
+    "\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "\n",
+    "# Setting multiple options via set\n",
+    "profile_options.set({ \"histogram.is_enabled\": False, \"int.is_enabled\": False})\n",
+    "\n",
+    "# Set options via directly setting them\n",
+    "profile_options.structured_options.data_labeler.max_sample_size = 1000\n",
+    "\n",
+    "profile = dp.Profiler(data, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2052415a",
+   "metadata": {},
+   "source": [
+    "## Updating Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e02f746",
+   "metadata": {},
+   "source": [
+    "Beyond just profiling, one of the unique aspects of the DataProfiler is the ability to update the profiles. To update appropriately, the schema (columns / keys) must match appropriately."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7ab8022f",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Load and profile a CSV file\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-header-and-author.txt\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Update the profile with new data:\n",
+    "new_data = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-skip-header.txt\"))\n",
+    "# new_data = dp.Data(os.path.join(data_path, \"iris-utf-16.csv\")) # will error due to schema mismatch\n",
+    "profile.update_profile(new_data)\n",
+    "\n",
+    "# Take a peek at the data\n",
+    "print(data.data)\n",
+    "print(new_data.data)\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "66ec6dc5",
+   "metadata": {},
+   "source": [
+    "## Merging Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2265fe9",
+   "metadata": {},
+   "source": [
+    "Merging profiles are an alternative method for updating profiles. Particularly, multiple profiles can be generated seperately, then added together with a simple `+` command: `profile3 = profile1 + profile2`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cc68ca07",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Load a CSV file with a schema\n",
+    "data1 = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-header-and-author.txt\"))\n",
+    "profile1 = dp.Profiler(data1)\n",
+    "\n",
+    "# Load another CSV file with the same schema\n",
+    "data2 = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-skip-header.txt\"))\n",
+    "profile2 = dp.Profiler(data2)\n",
+    "\n",
+    "# Merge the profiles\n",
+    "profile3 = profile1 + profile2\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile3.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ea07dc6",
+   "metadata": {},
+   "source": [
+    "As you can see, the `update_profile` function and the `+` operator function similarly. The reason the `+` operator is important is that it's possible to *save and load profiles*, which we cover next."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "375ff25c-b189-436a-b07d-5e7f13cc6e03",
+   "metadata": {},
+   "source": [
+    "## Differences in Data\n",
+    "Can be applied to both structured and unstructured datasets. \n",
+    "\n",
+    "Such reports can provide details on the differences between training and validation data like in this pseudo example:\n",
+    "```python\n",
+    "profiler_training = dp.Profiler(training_data)\n",
+    "profiler_testing = dp.Profiler(testing_data)\n",
+    "\n",
+    "validation_report = profiler_training.diff(profiler_testing)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "65360a03-e3ff-4f3c-9963-412298fdb284",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from pprint import pprint\n",
+    "\n",
+    "# structured differences example\n",
+    "data_split_differences = profile1.diff(profile2)\n",
+    "pprint(data_split_differences)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ae471ff-852f-400a-9bee-5c9fef96f10a",
+   "metadata": {},
+   "source": [
+    "## Graphing a Profile\n",
+    "\n",
+    "We've also added the ability to generating visual reports from a profile.\n",
+    "\n",
+    "The following plots are currently available to work directly with your profilers:\n",
+    "\n",
+    "  * missing values matrix\n",
+    "  * histogram (numeric columns only)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "734b588d-ac9a-409c-8eb5-b1a0aede8c63",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "\n",
+    "# get the data\n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "data = dp.Data(os.path.join(data_folder, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "\n",
+    "# profile the data\n",
+    "profile = dp.Profiler(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e4e70204-fa30-43c2-9556-e84c19f82d32",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# generate a missing values matrix\n",
+    "fig = plt.figure(figsize=(8, 6), dpi=100)\n",
+    "fig = dp.graphs.plot_missing_values_matrix(profile, ax=fig.gca(), title=\"Missing Values Matrix\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d734d355-e542-4245-a1e9-66521e333c2d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# generate histogram of all int/float columns\n",
+    "fig = dp.graphs.plot_histograms(profile)\n",
+    "fig.set_size_inches(8, 6)\n",
+    "fig.set_dpi(100)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "30868000",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Profile"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2858072",
+   "metadata": {},
+   "source": [
+    "Not only can the Profiler create and update profiles, it's also possible to save, load then manipulate profiles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2ad9ca57",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load data\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/names-col.txt\"))\n",
+    "\n",
+    "# Generate a profile\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Save a profile to disk for later (saves as pickle file)\n",
+    "profile.save(filepath=\"my_profile.pkl\")\n",
+    "\n",
+    "# Load a profile from disk\n",
+    "loaded_profile = dp.Profiler.load(\"my_profile.pkl\")\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f9859c2",
+   "metadata": {},
+   "source": [
+    "With the ability to save and load profiles, profiles can be generated via multiple machines then merged. Further, profiles can be stored and later used in applications such as change point detection, synthetic data generation, and more. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3571f2d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load a multiple files via the Data class\n",
+    "filenames = [\"csv/sparse-first-and-last-column-header-and-author.txt\",\n",
+    "             \"csv/sparse-first-and-last-column-skip-header.txt\"]\n",
+    "data_objects = []\n",
+    "for filename in filenames:\n",
+    "    data_objects.append(dp.Data(os.path.join(data_path, filename)))\n",
+    "\n",
+    "\n",
+    "# Generate and save profiles\n",
+    "for i in range(len(data_objects)):\n",
+    "    profile = dp.Profiler(data_objects[i])\n",
+    "    profile.save(filepath=\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Load profiles and add them together\n",
+    "profile = None\n",
+    "for i in range(len(data_objects)):\n",
+    "    if profile is None:\n",
+    "        profile = dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "    else:\n",
+    "        profile += dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4690068a-8fc3-4bd5-8649-63d0f34fa91d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/doctrees/nbsphinx/regex_labeler_from_scratch.ipynb b/docs/0.10.5/doctrees/nbsphinx/regex_labeler_from_scratch.ipynb
new file mode 100644
index 000000000..96aee213a
--- /dev/null
+++ b/docs/0.10.5/doctrees/nbsphinx/regex_labeler_from_scratch.ipynb
@@ -0,0 +1,444 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e04c382a-7c49-452b-b9bf-e448951c64fe",
+   "metadata": {},
+   "source": [
+    "# Building a Regex Data Labeler w/ your own Regex"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fb3ecb9-bc51-4c18-93d5-7991bbee5165",
+   "metadata": {},
+   "source": [
+    "This notebook teaches how to use the existing / create your own regex labeler as well as utilize it for structured data profiling.\n",
+    "\n",
+    "1. Loading and utilizing the pre-existing regex data labeler\n",
+    "1. Replacing the existing regex rules with your own.\n",
+    "1. Utilizng a regex data labeler inside of the structured profiler\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a67c197b-d3ee-4896-a96f-cc3d043601d3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "from pprint import pprint\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "try:\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    sys.path.insert(0, '../..')\n",
+    "    import dataprofiler as dp"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c71356f4-9020-4862-a1e1-816effbb5443",
+   "metadata": {},
+   "source": [
+    "## Loading and using the pre-existing regex data labeler\n",
+    "We can easily import the exsting regex labeler via the `load_from_library` command from the `dp.DataLabeler`. This allows us to import models other than the default structured / unstructured labelers which exist in the library."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "113d6655-4bca-4d8e-9e6f-b972e29d5684",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler = dp.DataLabeler.load_from_library('regex_model')\n",
+    "data_labeler.model.help()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0b405887-2b92-44ca-b8d7-29c384f6dd9c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.label_mapping)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11916a48-098c-4056-ac6c-b9542d85fa86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.model._parameters['regex_patterns'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "da0e97ee-8d6d-4631-9b55-78ed904d5f41",
+   "metadata": {},
+   "source": [
+    "### Predicting with the regex labeler\n",
+    "In the prediction below, the default settings will `split` the predictions by default as it's aggregation function. In other words, if a string '123 Fake St.' The first character would receive a vote for integer and for address giving both a 50% probability. This is because these regex functions are defined individually and a post prediction aggregation function must be used to get the results."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fe519e65-36a7-4f42-8314-5369de8635c7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# evaluate a prediction using the default parameters\n",
+    "data_labeler.predict(['123 Fake St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b41d834d-e47b-45a6-8970-d2d2033e2ade",
+   "metadata": {},
+   "source": [
+    "## Replacing the regex rules in the existing labeler\n",
+    "\n",
+    "We can achieve this by:\n",
+    "1. Setting the label mapping to the new labels\n",
+    "2. Setting the model parameters which include: `regex_patterns`, `default_label`, `ignore_case`, and `encapsulators`\n",
+    "\n",
+    "where `regex_patterns` is a `dict` of lists or regex for each label, `default_label` is the expected default label for the regex, `ignore_case` tells the model to ignore case during its detection, and `encapsulators` are generic regex statements placed before (start) and after (end) each regex. Currently, this is used by the default model to capture labels that are within a cell rather than matching the entire cell. (e.g. ' 123 ' will still capture 123 as digits)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c6bb010a-406f-4fd8-abd0-3355a5ad0ded",
+   "metadata": {},
+   "source": [
+    "Below, we created 4 labels where `other` is the `default_label`. Additionally, we set enabled case sensitivity such that upper and lower case letters would be detected separately."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f86584cf-a7af-4bae-bf44-d87caa68833a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.set_labels({'other': 0, 'digits':1, 'lowercase_char': 2, 'uppercase_chars': 3})\n",
+    "data_labeler.model.set_params(\n",
+    "    regex_patterns={\n",
+    "        'digits': [r'[+-]?[0-9]+'],\n",
+    "        'lowercase_char': [r'[a-z]+'],\n",
+    "        'uppercase_chars': [r'[A-Z]+'],\n",
+    "    },\n",
+    "    default_label='other',\n",
+    "    ignore_case=False,\n",
+    ")\n",
+    "data_labeler.label_mapping"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ece1c8c-18a5-46fc-b563-6458e6e71e53",
+   "metadata": {},
+   "source": [
+    "### Predicting with the new regex labels\n",
+    "\n",
+    "Here we notice the otuput of the predictions gives us a prediction per character for each regex. Note how by default it is matching subtext due to the encapsulators. Where `123` were found to be digits, `FAKE` was foudn to be upper case, and the whitespaces and `St.` were other due no single regex being correct."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "92842e14-2ea6-4879-b58c-c52b607dc94c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(['123 FAKE St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ce14e54-094f-41ff-9ce0-69acace6abc2",
+   "metadata": {},
+   "source": [
+    "Below we turn off case-sensitivity and we see how the aggregation funciton splits the votes for characters between the `lowercase` and `uppercase` chars."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f7b8ed9d-c912-4dc7-82c5-ba78a3affc1e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.model.set_params(ignore_case=True)\n",
+    "data_labeler.predict(['123 FAKE St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dc66515f-24e4-40f0-8592-b1ee4fba7077",
+   "metadata": {},
+   "source": [
+    "For the rest of this notebook, we will just use a single regex serach which will capture both upper and lower case chars."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3e0c1b11-d111-4080-873f-40aff7cf7930",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.set_labels({'other': 0, 'digits':1, 'chars': 2})\n",
+    "data_labeler.model.set_params(\n",
+    "    regex_patterns={\n",
+    "        'digits': [r'[=-]?[0-9]+'],\n",
+    "        'chars': [r'[a-zA-Z]+'],\n",
+    "    },\n",
+    "    default_label='other',\n",
+    "    ignore_case=False,\n",
+    ")\n",
+    "data_labeler.label_mapping"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "28e7b2ee-c661-4b31-b727-078f1393b5c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(['123 FAKE St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f60c8fd1-76e1-469f-9e5a-62d7529301b3",
+   "metadata": {},
+   "source": [
+    "### Adjusting postprocessor properties\n",
+    "\n",
+    "Below we can look at the possible postprocessor parameters to adjust the aggregation function to the desired output. The previous outputs by default used the `split` aggregation function, however, below we will show the `random` aggregation function which will randomly choose a label if multiple labels have a vote for a given character."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "36afa82b-1ca5-49ad-9aa9-84c6de621f59",
+   "metadata": {},
+   "source": [
+    "data_labeler.postprocessor.help()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "66840940-47bf-433a-8ee8-977f26926e0b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.postprocessor.set_params(aggregation_func='random')\n",
+    "data_labeler.predict(['123 FAKE St.'], predict_options=dict(show_confidences=True))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c32b74fc-5051-4d53-b02a-4d1e4a35958f",
+   "metadata": {},
+   "source": [
+    "## Integrating the new Regex labeler into Structured Profiling\n",
+    "\n",
+    "While the labeler can be used alone, it is also possible to integrate the labeler into the StructuredProfiler with a slight change to its postprocessor. The StructuredProfiler requires a labeler which outputs othe confidence of each label for a given cell being processed. To convert the output of the `RegexPostProcessor` into said format, we will use the `StructRegexPostProcessor`. We can create the postprocessor and set the `data_labeler`'s postprocessor to this value."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a2663f2d-29a2-41ed-88dd-8a213d303365",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dataprofiler.labelers.data_processing import StructRegexPostProcessor\n",
+    "\n",
+    "postprocesor = StructRegexPostProcessor()\n",
+    "data_labeler.set_postprocessor(postprocesor)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f7352769-d636-42c6-9706-7d9cff520a72",
+   "metadata": {},
+   "source": [
+    "Below we will see the output is now one vote per sample."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "18814634-0fd0-4ce8-b0c3-9b9454701a43",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(['123 FAKE St.', '123', 'FAKE'], predict_options=dict(show_confidences=True))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4aa4e36-7362-4966-b827-3f5a6f2dfa7c",
+   "metadata": {},
+   "source": [
+    "### Setting the Structuredprofiler's DataLabeler\n",
+    "\n",
+    "We can create a `ProfilerOption` and set the structured options to have the new data_labeler as its value. We then run the StructuredProfiler with the specified options."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4f18cf7f-283e-4e54-b3f9-1312828c3029",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create and set the option for the regex data labeler to be used at profile time\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_object': data_labeler})\n",
+    "\n",
+    "# profile the dataset using the suggested regex data labeler\n",
+    "data = pd.DataFrame(\n",
+    "    [['123 FAKE St.', 123, 'this'], \n",
+    "     [123           ,  -9, 'IS'], \n",
+    "     ['...'         , +80, 'A'], \n",
+    "     ['123'         , 202, 'raNDom'], \n",
+    "     ['test'        ,  -1, 'TEST']], \n",
+    "    dtype=object)\n",
+    "profiler = dp.Profiler(data, options=profile_options)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "663e49f7-358b-4b0f-99a4-1823908ef990",
+   "metadata": {},
+   "source": [
+    "Below we see the first column is given 3 labels as it received multiple votes for said column. However, it was confident on the second and third column which is why it only specified `digits` and `chars` respectively."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f796d7f5-7e8a-447b-9cbb-d5b8180660a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(profiler.report(\n",
+    "    dict(output_format='compact', \n",
+    "         omit_keys=['data_stats.*.statistics', \n",
+    "                    'data_stats.*.categorical', \n",
+    "                    'data_stats.*.order', \n",
+    "                    'global_stats'])))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "261b903f-8f4c-403f-839b-ab8813f850e9",
+   "metadata": {},
+   "source": [
+    "## Saving the Data Labeler for future use"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b6ffbaf2-9400-486a-ba83-5fc9ba9334d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not os.path.isdir('my_new_regex_labeler'):\n",
+    "    os.mkdir('my_new_regex_labeler')\n",
+    "data_labeler.save_to_disk('my_new_regex_labeler')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09e40cb6-9d89-41c4-ae28-3dca498f8c68",
+   "metadata": {},
+   "source": [
+    "## Loading the saved Data Labeler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52615b25-70a6-4ebb-8a32-14aaf1e747d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "saved_labeler = dp.DataLabeler.load_from_disk('my_new_regex_labeler')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1ccc0b3-1dc2-4847-95c2-d6b8769b1590",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ensuring the parametesr are what we saved.\n",
+    "print(\"label_mapping:\")\n",
+    "pprint(saved_labeler.label_mapping)\n",
+    "print(\"\\nmodel parameters:\")\n",
+    "pprint(saved_labeler.model._parameters)\n",
+    "print()\n",
+    "print(\"postprocessor: \" + saved_labeler.postprocessor.__class__.__name__)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c827f2ae-4af6-4f3f-9651-9ee9ebea9fa0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predicting with the loaded labeler.\n",
+    "saved_labeler.predict(['test', '123'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "606f9bbf-5955-4b7b-b0d1-390de5600f73",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/doctrees/nbsphinx/unstructured_profiler_example.ipynb b/docs/0.10.5/doctrees/nbsphinx/unstructured_profiler_example.ipynb
new file mode 100644
index 000000000..9ab754cc7
--- /dev/null
+++ b/docs/0.10.5/doctrees/nbsphinx/unstructured_profiler_example.ipynb
@@ -0,0 +1,436 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f37ca393",
+   "metadata": {},
+   "source": [
+    "# Unstructured Profilers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff9bd095",
+   "metadata": {},
+   "source": [
+    "**Data profiling** - *is the process of examining a dataset and collecting statistical or informational summaries about said dataset.*\n",
+    "\n",
+    "The Profiler class inside the DataProfiler is designed to generate *data profiles* via the Profiler class, which ingests either a Data class or a Pandas DataFrame. \n",
+    "\n",
+    "Currently, the Data class supports loading the following file formats:\n",
+    "\n",
+    "* Any delimited  (CSV, TSV, etc.)\n",
+    "* JSON object\n",
+    "* Avro\n",
+    "* Parquet\n",
+    "* Text files\n",
+    "* Pandas Series/Dataframe\n",
+    "\n",
+    "Once the data is loaded, the Profiler can calculate statistics and predict the entities (via the Labeler) of every column (csv) or key-value (JSON) store as well as dataset wide information, such as the number of nulls, duplicates, etc.\n",
+    "\n",
+    "This example will look at specifically the unstructured data types for unstructured profiling. This means that only text files, lists of strings, single column pandas dataframes/series, or DataProfile Data objects in string format will work with the unstructured profiler. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de58b9c4",
+   "metadata": {},
+   "source": [
+    "## Reporting"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8001185a",
+   "metadata": {},
+   "source": [
+    "One of the primary purposes of the Profiler are to quickly identify what is in the dataset. This can be useful for analyzing a dataset prior to use or determining which columns could be useful for a given purpose.\n",
+    "\n",
+    "In terms of reporting, there are multiple reporting options:\n",
+    "\n",
+    "* **Pretty**: Floats are rounded to four decimal places, and lists are shortened.\n",
+    "* **Compact**: Similar to pretty, but removes detailed statistics\n",
+    "* **Serializable**: Output is json serializable and not prettified\n",
+    "* **Flat**: Nested Output is returned as a flattened dictionary\n",
+    "\n",
+    "The **Pretty** and **Compact** reports are the two most commonly used reports and includes `global_stats` and `data_stats` for the given dataset. `global_stats` contains overall properties of the data such as samples used and file encoding. `data_stats` contains specific properties and statistics for each text sample.\n",
+    "\n",
+    "For unstructured profiles, the report looks like this:\n",
+    "\n",
+    "```\n",
+    "\"global_stats\": {\n",
+    "    \"samples_used\": int,\n",
+    "    \"empty_line_count\": int,\n",
+    "    \"file_type\": string,\n",
+    "    \"encoding\": string\n",
+    "},\n",
+    "\"data_stats\": {\n",
+    "    \"data_label\": {\n",
+    "        \"entity_counts\": {\n",
+    "            \"word_level\": dict(int),\n",
+    "            \"true_char_level\": dict(int),\n",
+    "            \"postprocess_char_level\": dict(int)\n",
+    "        },\n",
+    "        \"times\": dict(float)\n",
+    "    },\n",
+    "    \"statistics\": {\n",
+    "        \"vocab\": list(char),\n",
+    "        \"words\": list(string),\n",
+    "        \"word_count\": dict(int),\n",
+    "        \"times\": dict(float)\n",
+    "    }\n",
+    "}\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5fcb5447",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\"\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "import tensorflow as tf\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a7fc2df6",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"txt/discussion_reddit.txt\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\": \"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4d183992",
+   "metadata": {},
+   "source": [
+    "## Profiler Type"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d7ec39d2",
+   "metadata": {},
+   "source": [
+    "It should be noted, in addition to reading the input data from text files, DataProfiler allows the input data as a pandas dataframe, a pandas series, a list, and Data objects (when an unstructured format is selected) if the Profiler is explicitly chosen as unstructured."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "29737f25",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# run data profiler and get the report\n",
+    "import pandas as pd\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/SchoolDataSmall.csv\"), options={\"data_format\": \"records\"})\n",
+    "profile = dp.Profiler(data, profiler_type='unstructured')\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fe02ad64",
+   "metadata": {},
+   "source": [
+    "## Profiler options"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "40804cc9",
+   "metadata": {},
+   "source": [
+    "The DataProfiler has the ability to turn on and off components as needed. This is accomplished via the `ProfilerOptions` class.\n",
+    "\n",
+    "For example, if a user doesn't require vocab count information they may desire to turn off the word count functionality.\n",
+    "\n",
+    "Below, let's remove the vocab count and set the stop words. \n",
+    "\n",
+    "Full list of options in the Profiler section of the [DataProfiler documentation](https://capitalone.github.io/DataProfiler/profile_options.html)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d25d899",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"txt/discussion_reddit.txt\"))\n",
+    "\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "\n",
+    "# Setting multiple options via set\n",
+    "profile_options.set({ \"*.vocab.is_enabled\": False, \"*.is_case_sensitive\": True })\n",
+    "\n",
+    "# Set options via directly setting them\n",
+    "profile_options.unstructured_options.text.stop_words = [\"These\", \"are\", \"stop\", \"words\"]\n",
+    "\n",
+    "profile = dp.Profiler(data, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\": \"compact\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2052415a",
+   "metadata": {},
+   "source": [
+    "## Updating Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e02f746",
+   "metadata": {},
+   "source": [
+    "Beyond just profiling, one of the unique aspects of the DataProfiler is the ability to update the profiles. To update appropriately, the schema (columns / keys) must match appropriately."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7ab8022f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load and profile a CSV file\n",
+    "data = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Update the profile with new data:\n",
+    "new_data = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile.update_profile(new_data)\n",
+    "\n",
+    "# Take a peek at the data\n",
+    "print(data.data)\n",
+    "print(new_data.data)\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile.report(report_options={\"output_format\": \"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "66ec6dc5",
+   "metadata": {},
+   "source": [
+    "## Merging Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2265fe9",
+   "metadata": {},
+   "source": [
+    "Merging profiles are an alternative method for updating profiles. Particularly, multiple profiles can be generated seperately, then added together with a simple `+` command: `profile3 = profile1 + profile2`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cc68ca07",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load a CSV file with a schema\n",
+    "data1 = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile1 = dp.Profiler(data1)\n",
+    "\n",
+    "# Load another CSV file with the same schema\n",
+    "data2 = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile2 = dp.Profiler(data2)\n",
+    "\n",
+    "# Merge the profiles\n",
+    "profile3 = profile1 + profile2\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile3.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ea07dc6",
+   "metadata": {},
+   "source": [
+    "As you can see, the `update_profile` function and the `+` operator function similarly. The reason the `+` operator is important is that it's possible to *save and load profiles*, which we cover next."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4704961a",
+   "metadata": {},
+   "source": [
+    "## Differences in Data\n",
+    "Can be applied to both structured and unstructured datasets. \n",
+    "\n",
+    "Such reports can provide details on the differences between training and validation data like in this pseudo example:\n",
+    "```python\n",
+    "profiler_training = dp.Profiler(training_data)\n",
+    "profiler_testing = dp.Profiler(testing_data)\n",
+    "\n",
+    "validation_report = profiler_training.diff(profiler_testing)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "58f92c1b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pprint import pprint\n",
+    "\n",
+    "# unstructured differences example\n",
+    "data_split_differences = profile1.diff(profile2)\n",
+    "pprint(data_split_differences)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "30868000",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Profile"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2858072",
+   "metadata": {},
+   "source": [
+    "Not only can the Profiler create and update profiles, it's also possible to save, load then manipulate profiles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2ad9ca57",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load data\n",
+    "data = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "\n",
+    "# Generate a profile\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Save a profile to disk for later (saves as pickle file)\n",
+    "profile.save(filepath=\"my_profile.pkl\")\n",
+    "\n",
+    "# Load a profile from disk\n",
+    "loaded_profile = dp.Profiler.load(\"my_profile.pkl\")\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f9859c2",
+   "metadata": {},
+   "source": [
+    "With the ability to save and load profiles, profiles can be generated via multiple machines then merged. Further, profiles can be stored and later used in applications such as change point detection, synthetic data generation, and more. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3571f2d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load a multiple files via the Data class\n",
+    "filenames = [\"txt/sentence-3x.txt\",\n",
+    "             \"txt/sentence.txt\"]\n",
+    "data_objects = []\n",
+    "for filename in filenames:\n",
+    "    data_objects.append(dp.Data(os.path.join(data_path, filename)))\n",
+    "\n",
+    "print(data_objects)\n",
+    "# Generate and save profiles\n",
+    "for i in range(len(data_objects)):\n",
+    "    profile = dp.Profiler(data_objects[i])\n",
+    "    report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "    print(json.dumps(report, indent=4))\n",
+    "    profile.save(filepath=\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Load profiles and add them together\n",
+    "profile = None\n",
+    "for i in range(len(data_objects)):\n",
+    "    if profile is None:\n",
+    "        profile = dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "    else:\n",
+    "        profile += dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/doctrees/overview.doctree b/docs/0.10.5/doctrees/overview.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..c76512ac1e9beaa7d6b433869f7f60c0746ad86e
GIT binary patch
literal 39414
zcmeHQX^<pWao&~onCU%ra*aeW!qO~E_v`@y8fzhh7NLU~ZD^&{!m!a(-CaFZHPuy3
z9Xm4!fp7?i<ftFE)dIv}n?DW%HX#Vx!5_j72bdrnzJ42rfj{^Nd}C}3#$V<;>X@GC
zo}O7F$ul8scfWc^zO2lAnfdbNdvgDC|M2`C{!5QVUEA?jYi6tE2Q4e=rDLt2nRF~a
z?mgQ(@sZvWy{U9OG*_Y^37b|g-GdrU+woeV<@YY*;Zdp|J6=?i9gKI)&|C`5uC05p
z_ovH?7aeQGh;1h_{2;a(L9lEDzVR+6zAtGQciC~=jb>+NmYmp58ntH7nQ59`CpNvn
zw`Rhm;WPt(CJrrYreiw(jOrtr39eY-74%*68=m7YziqMJvkw9?dmMmUZ3}<`a5Wiw
zzkQS*<LSOftW}z2I<XmOy^r=73z);^_0j{FIN{B{J{_-XEZWzm2PE?5(|v%@>dhw&
zGp(3$96F682GR-1*E+2T2u%+*Ju`|>i0}J-vm?HZwUTc3qhU6eF*UBUkBSG)Aw7WV
zN$B*_`*#e{y(B#tn@c>recYa~4<`*^^+0TfOIAibz}vfb^7Zn|wGE)mo&<^}=+#$=
ztg4D6s)1h>WYjb5*W*>+uIjBPKV5GM_1=Jb3Q_h<VxP26r4>y=t=@xs#Vjp7yz1VT
z&8bbrzBRpT=F!LsqnWwK-h2AaGc(;VaHE-)8Jqalc04Pb0ewU>f-cGw+_PW%;58WO
zTKg9JTHtg~dc<~?Y!Cm(p6M^;Y54%tvcg6g9MBupPxtv?B9K!%ARc}uJw{{*blIU5
z*@4&U{nFS^#ovc%2KTAK?OW}40hqn~Vh@5R3vvOhG+_Ag)s8nCbxjf+V_ggePPKY8
z#ABr)4u~Nls~J0izix)a%==>}_VSFJ-hK`kHO@<v8dc*l+l;^a<nxi?_{JIpmO&_g
zyP%kxhpw&}-tGX(WqJ$tt@HM4iETH1^A4)FMRms8I3{&T$k2hfvKw|&Atv9)G4ydr
z^>JzLnmv0SArb2MaTv6cW*mfThMRQPVk^w#YRl>beiVl$gbQfiG8$&&G>s%OmrxM2
zxvYS^n(+v#c}^oV(IE!FTHq}CR?CP3!$NCs4Mj0tj}cjZ<iySui?M5%e#=-gF-T}c
zu^Bs2>@+b(?gd0v92qN+>i{&O_7K>nhrxUSOcM)_7{36L(KLO-M)#hj+q9fE3-nlw
z9j|rKh2uB9q~-Wav&KCaE*euo2%rdD&*?ZZra&BbV%m7%!b9`Z#(6V*e`3Yc#@!bm
zerTG(kFgHajJsPcOe^qB&s&=&426~ffo_;a*Rx_f2u;FV(4{)SYG5=mo1o)-z!J13
zS(|18{3%qLUKC&!;x(8J$8+K}YMgXIo0cIPMMgUeIz}h)Vh5w)eZ@^%V8<hIS|LIv
zJWd;!UB^OER$28?Gw$~dtU-7I30lz{0Eo3}cBsoHt&;+bcHnuz3J?~}O5WHdtX;y|
zVZzF!=u;4jzc9QM#rnz8^F}32d1*M*NIbA%-GhMXyF853lREgllY5*R@5m%yU%@9B
zKucKrd0tR&9-?73!RG<#r?x)9SD@L)2dyd3q0+BrYYNsN`(tW3NN*ycO`^dFEwcp)
z%(`QFN-xMMZBRR##|s$i%UhqvE79zW+nUF5y@pHiTAso;<P_Fd%%J}U!1(6Yp??*c
zeSKTd-|;BPa){GRn$x04QaWE)DNQQ9eYkd_8Pt~{t7jPbE~fVFtz+cXX!fnGV`O8k
zI6WYkx0mj%viA4OlEsMwSlP)dIq6;ZI$?wb8tg8VxlT6-W7b*3s_I~6^ewAJOFN`i
zewnK&Y;CWT42S;%5P!UN98TnBwp|r)k_F&6?B5ucuNCIxn^3@~U?S`bd~a>t6R6Ec
zpmC7CRd0Afb2(Qd-M3&|RtkXpk<I&nJ>kA~@18wnI)If6O{E*dw1Qcs?4ERt42=Zp
zr7||8KI`6sKG4;x=>u}T++CrQeb#C>L<e@<@rX{`SBl0rF&ycb-w@u4UV8W*=!|zm
z=*{CZHz$D)_f|B}Lh?(Fpr0VB$Zye_{^~}7uZp|iS}1DxuiH{(9W(BFK@7U9b=T+{
zKlb7Z`lxlG_SPI9R!uy0a@x3~R=eYbYDiL9DrQhep-*=!ti;u+k#W|TtksGJAyoBP
z*oc#ghF^k^7YXQX{Njp6Q(AHSZW7m_TALda(U=31#t!^5y%Hh)Jdwm8LQ*v9z7DnF
zeu=R*hP`Kqr0%5l6RsesqR5&`5Bd!T4sHNAlT2tDR-Qnq{SDkcZ|2dGyj>PQgFY-p
zv5Ki(RiKoSN6CKMM2pc{%O(}|3vxRG6U+3m6%*IBbqm(h?i_9Y<!;`NZnPSf{uvul
z(j8#HNwJbQWR*?R-;%wX%|K}}ku6Kg5sY72jA7R06(+Xxd@emlYE;m0$;3sQB^bDP
z5M<A^j)KCCP2r$HLYiA;=CEFsUT)LMsOc#|O~0UNV;F~tQuWV)BNbKc3^hHFG~62j
zi((<kQ|_zQl@%9@fotNgql5Ay=Dq=i8?A@#3?7z**r%yzkPs8Aq5BpZFk1_sr=JaX
z79YjA73Oj2UOc}IG+&^0B4_3W7IMr7ye45eYISSG08@cn)!e}Gr-+4ky_z;Ao6(gS
z>;lvwldZLG5Z60qxLRMbf*PJoo;XqIhVV&olNz<F*<iXUlvi#u!o(L$mo13oG_r(F
z7h0s=p*?#>1uTl!xW5zd!LkO3XR=mJluU__y0jY3K0X;FF)c1o3$b!f&Q8K-3HM_>
z`2+*PFfwoIK?!J50&1<K(~V?@)9@*^;L1PyrV}URV!Vsdox`Y>8sN$a_bW`%MJ2(#
zAB7unRJx&Z@Ox-Akgv3I@LAOEs~iX(D=7!=dr{q8z&{)41X_X-1neyyMJ*`x^5FaO
z%i^Vn+5c;Si<u#W=M&b@;^LAQG@#_uniDN9vRiX;kr`MO2~)|ED;qt6Ls9r$iCxHh
zAS?`cZ`niZ5w~@r+>*T|ms)COL`l;ooz_n}4K%}}5bN_yGw_m*4;Q5mSB(MZvlC1k
z*thbWCb>Fg!3s7HE#^TFJ7D=yqpsC-+VE57h9yHfTSwX4vrLRG#?p|8^%(Xb!{?a|
z%bPYjj*oxLRs3U__<F?*9TR(j(}oo{*;$&m99b0rBBjIt4uud=Ggl~&NUE}199l^j
zlac_PqD@mK4^&n?f-^S)egl?todB+6?0`@qJ~4OE2_QFtkQOFwwH)64fC(ZbBP0;K
z#T5?@b5A&kX{dAb3f@gqWaPoP!Cnr=4Gp+^;{ZFa9W{`clbpxmB8G_LHOvf<Ctk~F
zSUeY@olMy`r#F&6Nllc!>Ui_H4bcA2!NY$;jF(d)VRs&sc4y8yOOKc7R9QNQ^W>Wi
z$nxRuOMMq5MOi=pTdFMp0_WVE?q^oWx>N;yfOh{5ZPlWh9xbwuf>aoB%u`vX4Cha_
z1LvjN(OP;lc3E^&7R}JUi?pHTT5lk|AIgb7MeMZYOX^dGa;Eg-ScUT3zBP{gi<g^V
z&9IZc{N^^0ZYtTjqR0js7A-UxUYKfb+ZNRvU$<y!EizsItPj*hb*{8*P|yZDGfcGH
zSxXerOxe)VlT&2}O*LpEaK)<9f?ib?PcCF7ziY453f6C=5fq|sF7BkIT+VVT<d@mR
zr*s|b5o8XM8bL8f>h<+`qH*n#1_~UV-^$Ch5g6f8=z<U$jA(yEJHOOToL7(2@6((V
zCOLjUI%@RBI)wrlrLci*MGcU~q})+Z$$}N_tb!8fAle~mHmxWk{ZK_vz!^*`oPeUZ
z?@x;IQV^2D9a>9fh}efn>)s4ILKP_f0wD<6sr3JB))_52f)<xFWo^ahw3egEouS1K
zUoD^0Q<&hkeNG=CERE)K`Vfyl(C75zzTtdMA{HnM<;i%m0$);{enxQhEL05q4RAb7
z=PG$#6){f~)>4g@oo<ypP*zwq6AIp8H`TOpn}H!XAV`KJkwqnH%pl~c89E%_L-9-W
zq)j`K9I2FzgLt+uva0;33j4H58wFKikX9{hjjhRNFp6vOYCM@ARm`2brbmz*lA9}+
zE98YLPoBzPS5pAbY8~NHFdA!AHYw-L&$UYqzAQ2sDS)ZoaUwQ@trqvGr%x?-{y9hp
zC3#3NK?;#710#!Pe6sA}FoU&<EikUC;3-w<dhmr~hm64zkyR2fSiD8JWXnOInODM~
z3>THnz$gz%te&dTPX$l$QGHWL1YSWQ)Tj&xqb-jkiWw^df;T$Taw5cqk$|qlphrZR
zAOXDJ3f_xu@wld^$yp*v@gVnBQA}eN$`!I_DatE*L$VdmdzPUuv?55+TLy6DiAsf>
zLBwcvT7@WFQUf>3kO^<Du5p43Rii@v1zqW~Xi8km3*2C@GBt&Zm|D=E7<BUS*}LBQ
z<|hn%oO<&UlQrSKn4-FHC*c*df0+T7ZDqUn`IFjPyDN+QU0K9DqQup%EZUVt5FQ)u
za9ssiq%~Exe?QYtiyLj9<CDYaa(bWR7g4+KK8MijGV7F%4@?c-=O~(BBZfbe?ZGeP
z4Y^Af;SD9rYH{%#-WfdBY@o_*cNxTt^?+?CcJN~Pr=W8k9ic;<MN2E1MPG;x7u`+c
z2StNtzs`#VH7lU#@a)$kSVP6Hn(-)|>|o=viA9stMC`Kay$gAI$7nerA_-vgIc<O)
z;a96>+>2FL8jI8LzLT}M!ZF}ioE8O|Ly7dn2?(<HTbO!TS7xIT8yK_)BDQ2Y6s-V{
z09l#XMra_q9EfWMAvPPZH9&Fkq9=wd^Y!l|{AMm1oQ9&`Fp9oL#Fg{q7v17x>Xj&O
z!9K!E)(?~VpO(59%0Wouf(UL-&+Ww9&LG;M{sv+O4pdEG3ONU5Nd^t$=iA%D&o$He
z_eQ@4!ge@M?+Umv#R4Vh{_W~O2kW@7!E$VIvA}f-tV6ld5@ZLiEt2Ne=xRf}l_3MR
zGWJ(sjj5s%Ot0EGnB0FQ%nJ_e15+l1G)$_f1k)S01=AnC<Yk;*c+;2uT>9{KamC)q
zm5peAy~ys2gX{ONmV@g8=ylr;uJc6nqdB<dc>IA5E=N1K5FX@U%}#KPjaTWs8{LX3
z?9`<P%2O{)R#7V=Ure2w$#`VBNDOMm{(yWtCBFwXRNjJo+nkUc)SMg(1$dPt9Mq6q
z4*5ZqxT+K!eFI#4MaS4AVWF=}tfHn#nmjoWCuM=M01FPQ3eQScrC((qQib8yRW|nS
zY~tEk$b37r&2SDhak=Q_S;)D0_=sY@j+_D9Hw%T?>0^xf%F+R}kj+dSa?IDEDN%3P
z)TRyfRsh%#o*}}A@Wa5t#hXWGGv`sx8N^<l7OAlC1K~r~9>)HX{+xSB!>8lr#^X=G
zx081SNyiU#YXV0&vCiU+i|LgdN;En%;KIqv3$v$Ao;-Q^1l)W)O3uqm4~(Xb<ONNH
zB}Lqc<waKJ)e>;&?u6q?6y9-mXaDZdo~&J=BaUzE3Z0@$c~|Htclxf-*&*2jp`$ft
zwo|=+df8|$D`yz(OuMWeMeV*WE1{_s72uzh%L->Cb0=0-aQGfsbU1~83ba=zPO^CW
z(m8)xy+j~@2-Q4C>!l80fO|=ud&%`cN7Q&lZ6ngt(oq0Ev+*^_xX;l$o^YR~kDLQ(
zQ!8CZ-h5}r&6V$6Epz1sOmN%g%I^@CMl)AF&*Kj?S0>>^9rEx+XN?tnrYJgP(c;q}
z_Y#3kEi9axHcr=0UY-_TPUA}zMQ1Kwo|bXg(b)x@wD4$u6}#R1we1BsfN`15h4eeu
zksom9&Uc)rGbpUmZT)=5F1F+m9<oO^J`JO}ofn92_Tz-n7KlF{h9C3-@nzKRyFduu
zcyTNc|4|72<FLA_u$ihN;4Vu~bsbq1i22Gz<82z;N8xju1ozc0#37OcCD?VymXj+{
z?T>!rQOXNcex&?~TWzL^!Tkxny$Scf>0@ZoPho-osatSZ;EzZ2R293KyM|I$>C>c_
z=(I0wZzy*Rc2%%*<M_xWWUL@(l-NhYeoF4B3C_wbSvYM^M^~nDIKviBlEdK%iqZs@
zWxx=x(>3G1V1=?AO;ctd-YUY$b{vC20;@H-RkWsnk$YGON3uK*Eh+5~c65;YNQD)O
zeI6ETdIGurXctN;8aX(X+@%vVv?G)UT8*ughg}41h@gzbZ-n;`1baPw3{B!Pu6XVs
zQpagp-x(S|0vf+MXIy76#ck_1(}btd^qUhr{y_caP1r5D4coCB6Mwjq$6NcUF(kF8
z6*q<KhdO&l#)L=*q0X*u`RFR#mmEb;M^}Z9Y14(7&e>+D=*R3~C9ia?*YYMWaH6nN
zlhE(v_tUxWXC{mK9(fJxqDeHIp0^HBc_?$JBG81=IP@{!Eul)Tc9(YPCwI(wmww{4
zAz7{DB)PAjv>Z(be&;YUQ|rK|P`j@VEac~wb>N~7HELW>v6s0?tWp^yX->n`M_#Jy
z6jS{ucN&IbyOrLm)gZL&tJn-U8bey<Cff7*EMtSykGUVDcQ@gFfIfy+4@d)E(Je>=
zo|_`ob%cB}<$h{K75I%(1ulA+D8;7bn+?yRz-9W(tH7i>b^-+IuNiI2Bx`~~ufiZ%
zvXz9!>2Hw`vlQHfof%d-IaZ2NQyD9!G|h85HZ*Wf)PQJd_J6J6xHjUKlF&zRQ!Y!X
zI_=y}d_Ey<QWnjc@eYch%JPJT$a;#bq%>}J5}M|~wv~v6r$g@Q#I!hxj^q?RX%Gd(
zXvKIJZR-x2Z;G}|U4B;Z!>?%S-ooLWxih3LE5_Ivez^0hsmou)6t}G|e}V8cn!5a3
zJpMp+`A3idQgEt-DYP})t(}(%lphkDJf(ehs#*<+BBman)J#<eQ`O&}fT7{Oj%rR+
z7c!)Uo#lIx@YWJL+#;wy_wQr}DGp4(ZZ@KN%evx-b0k}BzLoJPv+(f!lbonaInl2f
zC6SRBEMjgduUR8SuR!G461KPF=gbsb==s}mbM8{XAR>KPQ-PMx?7sa*Kgl(k>iV@|
z<d;@mUqJ1?s;iJ?nZh_^NV-}oNP>=@dZ*aS++0C}N`LJg2;)X5H#YZ{me}J4pC73g
zq^c<W2+R-tLu*AiI=Cz}l7bEriIm(C<qn5GQ43ZB=?9Ul2Im!9>@`G!79B?p8O)<y
zf%1dS;Bv%9ASK2_l63eCbt2CfJD8dR-G3&MnQ;G+K8Dtql|${}o!1a9T{R8i(Ec6J
z5XR8Sh#JCv9)F;Q@R!@r5VUcom4<>G6%=1*ia%?dQp>2WoEdkz2wQnI%^4+?1AJ0%
z28kcngRm|c2H{_!)3heBK;8|jCJez@?B@?n2PZV7MIzT`&g@Stg%nzJRDzCb)Yd_z
zcnvC%diIiC_;+8fP;)hXy)0g?mZrR(zrLTG8Erj(-7wNdujfZlyYG4~B+rXuJzs`=
z&mc*)m!~RaLeANAT&nJRA>TCBityQN;!rxqsoVAbqt3Llu3W!P_Y&cM!o5fzLobfx
zPP(95usiAfq{NKkPAc`YQc#92y&g-&L)mdVI#>_y5GTP`s*pUNR&=b;)+RY<2Hk{`
zy8wmOk!ftxI+S!!L`2a+bXKUaY*;4p{4F7o9daXQN&RHzU=dY?geu6yFJtvt=tFa|
z5Kzr(6ktb|-<3dLy24l0Sg>zBgVw8>@lHBz#}G;IeR+LLOB~NTM|=0mibl^knlIBZ
zXg|^}zVN=FvodZs!&k-uf#86Srsu6VkUmK2p(0^$Ko$!?Z{qGYC7xslC0*Tscy=7a
z#Fjecex_29rxD;vF(A@G^CKuSMIWi4XI(Mj4skI7-RDDnab`#iBC>5hW(l1H!2#q}
zjXC&0x>Tb8U85tFauc>dIbWjUDLtIN`v_G<3KF3gEiTd-S7ab5|AaS$(sR~18>gtH
zQ*_pI^#$cpQpnG}WU!TO%)FF<2BAJ)qVeKE$&s>VK2_>+(;!S&X3Zoxz$`bXui1pq
za#-H9+A#AflB^0tI-D=ghGP}y<J+27-y@)#WB*8jjTDIEnpH~heg5jeS3VAUlYpwk
z%?i5f2)e?v5|m%vIVj!FQD1_F%TT@oIaF2t-@I^9aNf}8X$jIl-xj2MYgu<Ge)OTq
zOd~Aco`|gLDmr=YL#6d(2Q;duu9~~yhrrpkHzfX@5I@?6#J}+P1Kkau;P@SidE|vM
zAL34%cGw_5QUs*X(+Zl<$!ycRf-{!1qzYr4)QJs`l?^yth=XLUHg$tO_>35So}%CF
znuGgt7G^Q{lxHCqe*47C=@Xan_;l`Z@#!p*JRu5)H2|KHT&9KA!^!~X6T=MJ8~772
zI%lfitP|+A$m@Vh1+!jiLhY!_0Ripld^hXipmfzzDN&HrSyL(O2+^!{1QVt$`x!bc
zN2ZUZxC#-FEyl=t;@_im2Rw676r*|gU~kNoUfH@xDu$z9*8g1^r4uS;qS&QTxx;rg
zE}R&iMzyWPn$htCeWd<q&YvUbYM|`b&Y%B+xbN%y5$iy4fgR$omNMJ6x0zGyW$v>D
z|3$j=9vPS&S+qYR6Yfj-hUjYqVI%yS6ZnwaW~*<-#?Fke8`ro-BMg?2|DV?<b*rrq
z#K=X&*YPU*|Nm}0O%v{&^b#lBx6sGX9wfEB@|!!a@BB92Kt>Cx^nFzo&U4<kV*-h4
zxrsJ+zOjdE6X)B}IleAek0WEb%EcMt76jtnvn9ll>+Pa$!LGM26UmLDD3<#9N`Z7Q
z{RtcxrL%@aqH=!HGc{duyWuIRQ^HxHZl)}RQx!dIluna&Iw@QVn=N7wQ=w3MzlzC=
zp)YYn2VHuBjT;$Q7L_1DpYq-bFphzfjJUKSbQ%eHhe%&Y*okQQSDY~L>ArCt=LH`P
zvQ#H<l4yn{x19-ZphXoCMTS0vdZ_Hzb*?`Q0iO&zXV5lFLfe6lk1nK^-o9LJEg-k#
z?;~`R(wX`E<mnF<6S60EJ&G){>)lBtU+66$DVVf{c3<nu?6qd{Boy+btEIzM9GPDw
zL97Hq-jSJp<nCMw<1+Ub{h5N)l!(|dZ>BQiUj&e3*nU!A`$HpP`wvRk-T~?Tbx7~4
zb4=$`nBun0{7(>`Ml<uD<M9WY`JcpkwN<N_P4Fx-5q9WECI_49g>Hmd%>1C)K^wrL
zSev=0j5n$}r^&Ey+E#N}?hWXq{6*GMX0GTdvvaSqiHi^jtR;E-b$BB}s6&@_-;!s&
zh~JWyZ*1!QZa>Z+&D8tSF#NAgz0aU_UsF%Wf=s<1GHy>TY}+&SioMKztDrBZXSQzY
zy-uxcBem7<%Kd9X?u7eS^s!|V>^nQZ7JUzx$=*>aOrU-i*ij+Cl)}Hc0mgRDCI(pL
zo`CL>qn!8(ulb@3T|X7*`pK5iMTXapbPG1TzF#1KOYg%1gnd`r#Nm(?(_4m-piZ&y
zmMac$<I+KS+L{G>QMu>P0&EdGxVSqr7;^4vagz&$f(nFDJc5iVsTmj<A@PB+5`@d5
z4{6;}eL^$UE?Q#pz;^)(6#>yP5l{-JxY^}<73suIpJ)i`J8xJO%&Gfjum<oT%se^;
z6o)vXQ=Fmn57Sw6>}ThW-q7_l2tHM5jg<wni)Wa;IkR=g@tkqWk%KH)4$;S!1<OB?
zU{NeHqKiT`7lM242Sve>XYVY>MFrayN)Bw6++vRSHz%fUCq~dm0;|>PWAN8~_sQp@
zs^eFYU?Hp$rM^AqK)Rg@l<pQ9RZj9iEy(3SEqL#PT9oe3x>jJ5q{xHgc_7MrgIEO7
zP1EYx?@Dj<8&Ma|gH`0e!TefQy@|`To~G@?z3I_rg78uVs>=HF>0woZ7;>vOpN=6S
ziF_VWFTJi6G~xg7q8dCDbZbfrH_=}-y~K*LYc!qtbX;bp2tu?U$7B(Dg^+UmI3$Lt
zqwi(>tjM29=;7CqIB3=zW^<XIVz~W)D_rZP*SCWp_Ji2UJ$!I)dW3?gaK~$Xl}_pP
zP;!)9HC=?1bjaTlq085Z65K_~C3O-Zb(sU5MwAWcdNIralb8EIe5Yye!E4eA{55f1
z{@kBlXRSKG6>hOjqO5d(%W5P`Xnu6X4C%BUYEa-8O2%X4YqV%my{FToER=B?sfkmI
z{!%X;PvUm<t<}iE_le@eI!6fCZ3s79qzXI}sJQAdJtpsv&U)F;z4X#sN>55%xEH~W
z=~2<|`qmT02c^d8ahe0}?1^lk$itj^=@HNLmlDLa0pl(FzQ*!<=?w^04#E}=P<25c
z7zWZ9csKy&YGazfh||J8pw)I(d-j3!C@wb&>RC~GjRT@OLbqMlHQ@oVTmVnD6(UfM
zIy}ZDz^)(B>(7e1k(IQ9`f7(r>NujNg2>{VbyQ2Hl4e}L;zUl&BzmkaPnTjM63T;$
zA;3U~F&T;-WbYw5JtC`#YixR#d+E)b=F{=vl_WQxI&X$oeke3o^iPoJb;MPm9DfOf
z=s6uH?me*QJ3rW;9_?CP<RC@L7vN0LB9&0~mO8OVYS?kyjb>+NR#sMO-8CG-@M}T1
zglnO$%%Em8(@Srn77Pkn)MH%sMECgi(lL}*f9~X)fZ3yAyIC5BO0r=l)G%=nfYBW*
zZu2m9-0?8Pcx*PnMXlKGJvf%$0-EgLHgn0I8vHsgp#p_GlOB)O{McNr+s=~h;eXKY
zJ})5BKOEtP_87<Xz}JvQ=?(l_{H&9!7Dx98wYTV$r-I+`Dj9`ny_|G0#8C((+(V2s
zt3nPu1L_HybaXcp4A+yWh>}LJ-f;`}L$|=IYZ%M6tQfuB)I?&i<+|0ut;cob%Y$!}
zB*W9`wOBiQICP$l2@wIF1bI=SWs1(P$0jUXh#WwC9R>oq#E_IAg_hNhdQU)z6-p^>
zEEl7<w*GN|*rLVd2dPkepR(_=?{sH~d3jw>3UOGa+(5-ursqC@sD)Hq%~)m4P+j9l
zYmRQ(bAN!uMiA&!DAGE~oKJ2{XP>4aZRBZo-3I62tND}|`a#b<Pg`s{C|L(AyBDDN
zrgFPPRgZe^52;w_@VU}EXomSkI7!C|3#`5Zg}}qpjD~rh<UCJdp5dKm2<CabdG3DR
zrS9evdy*R7X`gXFhTnGE{Ww1O3QhMD^o=eHai6Delo-JMBz>cER_>?h8*S3LpQdkQ
z!?~ZKZ=_lz>5)9q^BX&Y^hqosh`mG!$u?C_kVd{l)C0kQNjeRrrz=#wu~evQj~A+q
zt5LcC>kIv3nF?cC7jG)}C7%G@ki2|Qg_f8@h-;JgdtmiFcn=+5LHV=5{YQHbLv|n}
q8PW)pOTo-yKrMg^#fNk;v&kW)czD4QaY&^_YlIZ1q|zjf+W!Kv%AB|W

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/popmon_dp_loader_example.doctree b/docs/0.10.5/doctrees/popmon_dp_loader_example.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..7c309af4da7fc00e05cd746754402aedc297f3e0
GIT binary patch
literal 27518
zcmeHQd2AfldDlTo;_8-<RtY6fXs28`+$C)_jV+i)4aui0I#3kbjjN7kciwVlI6E_*
zgGXF9b`raGFhzr8T_nAnKUx%M3e+voxD8zNMCv+00u(I}peS-R|Fi}APlF;r(De7c
zV~*u&xm=O~WlMm)oSAoi@4LV6z4zScE78IZ{x3Zo1(xkC*A3J3e3M0;bf4)rlQ#3>
z&SyKPp6@){sitG0u@w19*kqk_2TC+8+ciVxbuQ!MAu1o+Zd8{Ij0Hw$%!fu`Wi42v
z=`&Xzx7m^wTXv**e#{!azo7Y^_Mja<lr*$^tT+y$Gt<-ac5Ee$ded)DH;urK4cGVB
zbeJ^krteM1A!E~R!}g|C8_{&&2W{We%|Lg3!(^e(mW_7cvbxuBZExY;D|*M;i;-Gm
zm<Vez3>*_tle0#xL-ZM6M=r5tnsqwfZ>XIYIvgsPQ~z@59sq*iXdO$(^bD%j?sSg?
z=3F|05wgx)(lFAB5yzq3NMbAk0e!b^MgVZSx9J*DgqQex)HB-RuYG0`<PQy_xqzwh
zG9&bQtvRH7P&^6kPWlU52KY{r?v0IkJ{;?aHEtb98i4Yi*a+uYj$MG`FK*@X^ToF`
zfYh1*2*($JhBZRNnnIzP@6`m_bqwn^pu*3na;wobD_2Fi+fhyd(wa`J8S9R;lA)N{
zIloiPnq}Rq<}F#B>Qt<g>7&yhj#wB?UwGmpciw$^ItYCynl_Etz+WxfW#KgNCz=*`
zvlhm8tXt0SLeIOc6V`6Pd`EiFvga)q|HZE1%@=Wh56684o$lcQKdF2=;(-W(el4GP
zz{}}jLR)~(3Rz_NuG#t2z8{N!AEOyPq&l}wS`T6{JNd%z1x=Uu3P^8_?#Gtf?wKes
zi1F+T&>0ICS%<oKqN|HNqKk+%W83#u&5($HG`3^6Ncic=bAYg58rl;0j`l&$O0<hC
z@WVI~m~-=*#WIFqwK1v%g1U8b&bo!jy6?){DBcpqIh@8Yi6;fmT@yA|!)hu(6x%qA
zHukGF(hprCervL}ui-cLwWhzwLZCI%lE|26n%~j{{}ceA4}^9SD6P<M^TI_`RAAYX
zwsTm162STR;IIT0aTwmHU|NEMmcxNV0I<MJTfXc1OSU&3ol%ooyI?-T&!DSMuYZI$
z7e+Xi9(3)Pg@&s)T)(+cK-?$Cckb9x(;o66G_iVKgjI3nVpVF|S-%bOVn-06SVO*U
zD`2&DbJhA4*N&P(*@}jLXwWl_&@5I+B4(m5Euc>kx)BsH8A)`Jq7_eon$`dZDAcC%
zL{W-op_VL9)vr?F!wL;)3PD@Ps2Vn4vZ9Ba3bj_^ahleu5>dtb=#*Tt>u_2NPC3Tz
z0qT9BA6HUb<##1Dy{mw$8|6&z1w}H&nFQyrT8?^=-Xt;oVTtJi^AufP<!e5*H!#vK
z4^E84dS5TF-uIQ*#muE{iqls7L~9xz5SejmBVh(2(HaaaBx4`zub9u^Eez?+!DpZt
zUQNveGZ<!xicmORg2GQ-xf0mH=`P-L<%(F7v2?FwT?M9PeTVB4H>WrBsF`cdSp9M9
z`-9K*dno>`et0YOC@ul++C+fdTLQ@J10)YESP)a%665G#w@Fpt7~$Ft7(SuRVBj!j
zf{{X9!WSuk>k5@O*h+>l&Ta?@YuwpMKLhI=3T@7AB9tBmlwe%JK#O6Tv9O2`T*IqE
z2OaS}cV*QV>(z__j69`X&In07WOF5iaV9X)ZX|$_g*6FcXztM3m0F$dBfT|&f}?cT
zoUx5Nw-CUfEp)e4YGH&e2O(-(aoZ)0(>Woa{VqO;bf4D{mUAaPa2AI1eIYaE@Y`>K
zuSsO_ql)}1T8S!gxN=6w<CUl$7_n7{tY=|dote@m>-EV~{G+T;lH~?8yP(3Bn=FX6
zhdCnNABKJ?n!9=p`9;Wh4Xp&G8juvR+O4qBpEeZ6UV8&CBhG!j5T{~$K@#gQ(T%Gk
z&pta?i7nqd-6<l_y@Mc-LQLm2l!nP4!!;3hUM5t!hw6_z0+q_fVKv?BHTcM2TEc;0
zL~(}|5tHiwG_PNjUobT`%=|x+H1e@<aa@c2niR)1DUNdk`6jEEW(rUiOj{F7rf8gy
zl<lJe94{-iq)Q4zBs0bOl*pFcSr*`3q@RKLA`}8A%4%>ya%DK6b~n>PGr2|f7Z2EB
z6m$7u8H+-f@I!mv_6%tET<y+OYEqe(EW2rGOMbWzad{F2tZBEP=961Mi&p{`)rHXl
zIWzD3Lh9JkBme}dR@;cl{#)?;B~LRfW|-V)u-i<7!-+n*EFvWxP9c|f)AmDHg3_XB
z8t^}5^6MI&L5?H8E^y@6vK1f1URSbnp@1u!gCkET4d*z<qJ*JTkDZgN-mOPq{vm32
z3puBTmsb;(&Yk#J<aB>P&x46d=M43h3(DW4$A&YDpYp8o89Yg2F`05f=p@|)!B<HT
zPH8bPRJT2oEuRuX?N;qk_;_I_avEucaCK_cvrx-PxzNDMO|2O%0+T(C(DVZC4nH8L
z5TSX~f?mK(DN|eIi7s?PCFbDi5`B@441<&grOiS{)~Pie&C9{T{EirXX3^|Z`A9E|
z#+e%x+Q~nosY_uZEb#t4h;~92Cm{@SF%T({uLG{%()0veM*3Wp{5y`EW$&ExC|+KT
zGSc3fz+a=vn)H!r0)K?kJv9MAE4lO~KWx>xjN;BO;eS_A0J;RtkUBtDE9ajtimN9_
z(fu64B4vR^G@-ma-+k`$&_grImBI+VDt}2xtfFs<sGFo3Tvn#t;<1>RSC&#LlJX9O
z7$pHnSBj)1i+SA0;?$T+G@@UUYGt983q;$C8Q6zOey;}8z$l>nhVX%sBbvfbd~n&|
zGoKikN!b;qq~CRbNF}A7Tl3C;0ZAYd|AT%8R=AWfeR0!;X}TrCbnmW>3eyp^uqLw*
zc4xOR-N`%eFHFCMG9*k92+hfn%c@Lxo+C^*V5Wu|ckNR-MaLZBxveQ1fTS{mI#m&k
zRQShRwGYaWl%Nn07W1M6+9DbviggXR#JCQL))@&tjV&@yR_284CGcb~8g2qt30t<K
zn156Q(S^8<ME|O{$G8lSs)D(9m#s%Eu0At)d)<z7<{1r_nUiO<2Mh?|DGk=_#l!<M
zBF!6oC&G7PLgY_ZeUZ;w&WjI*MDyx@=s-=X+!KlPXG=pXkG?8lI;A?CRlTX%o>Jh2
z7X=}j7`$qQt0oi%6kz1azF4>jp<;wBh^-mTIDzSaQU(V$mEuz%?-O*VDa3qS^64`V
zVf_$|slm`(3`E-9r0qo#M`+G49^~li^7kpUb6Gvq5xuQWQeB<;nmnb=&T90`M>&}*
zPt=y2H}C2xbafeUfhraITydfSmqx>jNKi=4r`Up0f3BnYbyNpmd0V4;Sz*<BNuMDU
z))RxspiE&ML+PFhtB^<ALt*{>lHaP}A*%VU+BvW(<wMGSSH}^(DMU|+m*s`}_^-$#
z)W?4{Eu3UrBNpNH{_#@fUtM>-3^$xhw4US6Mfw?7^&(%_V_6OE>-yr5evGbW{-kI;
zq_fI$07M{bO?aOO%$mWa6-2fWW~757w}U5`!9>T>zy_zhDN4(_d84i5uv!qXva^}5
z$LI5<0?alCR&Q*Hn))JUw=tj3CkQ^n`Fx(^o%dB!)Bl#?hxw1%feJfB7G)4tMD#(A
zlNcURq(l&1lD@#Ra^QZED8iMA>O_ktH0dUD4Ma}hm#NQxbmCNnC-P9^b*Q7BOd2S+
ziNH$OfZl@8M+@#Hp|S9Kyvk&KdR5z#sI!#S@sl`LbHw1GM+Gb7ll2=;m0F!b+bE~f
z6yACB&IpftTwd*kmqQ4!-yQ@zGXeGzO7|3C0#ny5z{>1ySdUA&mGf_vnC1fyP$&Qn
z2t=5<LldgI@=}N-EkO@35a0-f86cw1GFyfW0v;Mr+;g*<%U08QlU88d`3n6EEOL~!
z|BX#&qyMrcZ1j7W-NxAHw+TMOvC)6yo%d&>-@H{j$67|>#^mu9f>a`gR5~i;LkIhu
z=)uk=DkYEf#JT$}-9LfURZ3<cu0@ei(+)*#$(F_IGHcWkFLEa;uo%e`=gR;#x9Owm
zs^+APiDGSIfua3gWfbDReJ7Za5@(D*>V;`TFvcGaf^QjP{60$Oj4?gRkVCOjqqN?r
zX0(uzh~(u$s9Ip;_F$L)z9j^I`|gbr{3Kc!lHhOSo%bd9C;t-O)j~K*ZhFWpm(>xo
zilS%K64njrQX-C2$8UG0WtDr4IA1W}l$*^t#8m!e$u?tacH)kuiNZ_2)q*lVJ8|dC
z9q+Hre4sXSr~Hb*0e8R4T+UhHkmIcdU>tgwAWS#=%*5?FJx-j_p1K2BFCUoFYV_Y7
zGnb#8s=ym`tM(xZl}q*}^FLS3j+{!QfK?S6a(vrc&4i}33CYj|P~_O^l;|^Y>Qse`
z)at}VkyXi`5I->DGZS#$Nd`Am%aXBOU&w2IA<GQ>Y%k6+1Oxy1LHI|;z^70;XW#`^
zEqKZHVAVe?X|~f(@N^dsjsULFMijjlIg(=6f%1uKf-;pRu<m-<`ZzAZblh?1XWhE$
z|82IedSL`RVYVR8<5w}gjVY_2BmfPktUk{>?=QRl6S7PC@kP!Cg_c%DslewSWJn)H
zBmr^?#t%=e6*~vapb%qLtRHP;g00y6+eo@)Qyg5nk=H~~lG+j}V7WOmZteD!q`SWC
z!zwk`=CWsemm4-;=*5+Wkc+=F2ye>d;>#%AQ!WZVwJqf0h2xL|`AE`&|G&oL1~qBI
z;|XEj8tt>Hm4g&&o2uLkI(W#TZ+<RC0s6!@j@&PHR!2O42W&=3=+z%GRB-;8mT%no
zC;Ay!1XG0K8(9sCP+Yi$c9G_Jw6BTS!V^ry7HC^e<U^m}KI3fPB69N(WPnk?hn%_5
z6nmujxd;V`L|m2dN>W9pDXBWD3WqfBM2a3X5nITwmAmk=U3DtGK0r;QX{iLF^x7ME
zzLwt=Yx(VLW!4cvx$qwBhRzlhYdOSbrK~#XD!_@!G96`TNRdBUqr!gfBa)<Y-0epR
z0^9nK!pymXl;t>)wcmTIqau~{SIogbGQvq|7yYb@lzyBo7zbO8NNE`GceQi6Op@(O
z$OT$vI1PfR2`PNQd}IW<D^ps8pbuQyP0RN|s0i;VaygxE5#>ASxK|rA=V@Ug{N7Rx
zoEMrQ<?-@@89n`kd(Btl-C{M4uWL1=AN;~yL<|a?o3k4CVl}qFxcE8DZ)3*AX@byj
z#>EWpysvSQzP_d>T&uQi&(@Gu6#;+X;!%$Adijh6k{06Fg=zTI%bsouFm9UHoQ5-@
zIKnkM{)`m3y7yQwJQ+gWdvp+N$<)2OP`anOCom^hvIb14RwO9|%&-Bzaw``e*&53H
z<z5h9*Y=K;L15iGBXyB?-k&nRjKoVsDY0iZ3sI3&R;rZ7>1|MI#1TX~cH*&>z>oE|
z5iaZV%<n~&=z?b=4j9ks*=|Oh*YXs~^!Z9JY#D++KQjo<Wc2wfDBY7j1^#Rg`h0wA
z=<{!TL3~~G`B#I$x;K5k!8`9ypRZ>0>CibMd`IExyzqgklp4X|T-d=(e@#@nV$4MP
z^}7e8N@^w}!fij!GNt`%uXP`S(!M#!>SvVp_bA<y(gY@K4@zs6Erv&sm(N21{O}v0
z*mIj4i7zlBXkQ=CML^Pih?AZCaD~SUa27|{6-3I+fz50(TUKXeR9Ig0GqB~QbbV{{
zb$xGZIMywg-^O(Pae~lry8dzAd4G=OZ)T=Rr5H0nY+ODHzmC}RqIC41c)uCyaozf^
zUh6UhM|uAstCMk*_n>r7jv`iSdvKH$P(nVEbd`HWxl*IGeW^1=<#ZsQPG1)i_p<bH
zAsv+|26-;J!nPh?GJJ4cT0?|1>1SY8ME=zItOj=ieT-P~FixPZc3vp6^xr^`SNduw
ze~}-ghn-^NP0e?FB3mT$!{s^PMevL4MsXa1a16;d3id<hij|&No)F3NVj>khlq2y&
z1={U8ynKB>A=dZ#Y_-<oWBn9~8nr;1v%a4$ukXh%$s+=l71zBAbVydjSerKB!{rwt
zuNntfG+4aE;MJow&i4A!f~~?8o`+3dcQ{m=vBr}Gn%J_)kEL^Q6l5mqx5H5Kb^A@R
zZl4=!-Co)Jb^9%>+ZMP3{|xinn2PYH1fk(ngg@q;_g4}A=be~EpxE0xbMhGxa%Ji3
zy)bkLW$CMf;Ay5Ty^hj7l_i0*xr#ENBT_N(jX5IAtz7tGnV0|h!}&2mLWV{f&cmXu
z**5kKt0ND=&AE}Lq&czeLe#X4<VgN~m8~YvDiTME5=-aVlqe=GJ%+ewm!#(L9XbhB
zt5St{i2}4>{@g%}M7>j)1h{r5kfE&ezl3Jv&JXBkV0})RmalET-1ySg$c<xrHYzs`
zqlF>m#sS`Wf4T8>nPrSjGl}S{(#)>G9IW*1Hm!_sIIn+SFRU7Z*H;I@t&G>-h|)cI
zy}+~W!R!A9bexYQl{RIqU~T66p^plTmt36=mF|0v-vzQA3vHh~2d!QRkQ%A)^02_#
zMPdFGvM^4P{x8inuIQI@`d9bL&#)IV@H~!3&pTapRK2=X!Fn*gQ60{SZJ13rF&R$n
ziaIYLN!r?(9%?2bUCW?nmoOYqZ)p2VXD;0b^E9U8H9G0h>~ahE#rau6IF|8oesW2E
z(x*L_j^&0X9xzEnl5q(I8rv_r(b4t-9xL)O30*uLjQyrgmp9N?bT^7|g)5!(Sj+cg
z?5JXekLP!$2kCfwoZ_J`(+Nn}p_3k>gFpfui%JI?MQHNf;tg~85l4|uP}bEI66jG@
zkatSVr3b{)>n;vyaXaUCr4`F?WA!+Sok7bsV1>g)k|=*WYO+Q$kM0gF8KDPQp#*%k
zZM+$aLl|i^sm@F3A#uniZrt!Gp{kRPC2^~ES1q#f_jviEj`K17P{#>vCN4YxoN1`d
zxRV|hiUkgKQLT*fRyyg4t}k6pI4=^R9un=Yu03A<&{a7-LUV`!DBN-okm1?EVeRr*
zSwI|Ty{5Zx2TFPaT+@DNVk0v48=L3`CjbKudvK6T3)2KdY*WYO1uc8IW9>-~8Q9*e
z=daRTwuzR_q#fuP;sLPy1)X0NVml}`c$mKdbiIg{KYtZOEHQl@cO{?{@|*(X*Z}kM
znjA}-vA$?WHk|0x7Iyd1F*u+MHOjq;AV5F|FqsG>fD>iF3V=1T7~fyRZyC9nf<@?r
zPO3#2b?6S3d_OLW$sU2CM~SL{Io>=F(Y4!l+<9cjcYZLM9tv21%{THw7MjihdegvR
zlRA+{s;R3<mX?<4;vCkxAI?vkY;hVTqv=k16V>2DK@B~|E;bjmN0&vgp!VLGp9N$O
zg{@{+H}od&W?Xd>`#x^5v02>W-Oz?0bTNhl=|M%<_S8AQFFgUAZ0i|$X2aLTEfp`P
zN1_#+g1oF}H*VkzVO(JYbUzRwY8~rOC!lL^qx1&;EFO`k-8A4ap-Wy);E+O)5SCBS
z8=%ZVh}sKDfZI3d#vOi_h2#S-1AF|Y?X`ddiZL7`RuLtQa=9a{-C!nYbp?G{jKyf}
zrY89Dg3fTOj;rGuAZ)Xz+h$%$cQbF1uBJ)%2^ImG1bX2lARdd+#WgN`#7EH)&;|SU
z2^DY#72RNy9xJ^Sm(}1kT5DwwbbAWjbA$JL>81F)YTaYq?dU|j1%V+%ix3z!F{G&D
z1lU@T(pj{0SS|1o;>E3rLLKK(+T~a{>_g=RN@J(vd<}_l>69o=9%7srtsKTz^A|fm
zqB>bRp=z?@m}CL+v_s_@i&R@zbv`>!&?Ke!Ez0I39V2+~BcJFxAnTr&I6&t3gy;Co
z=J@dE_<-hk_jA0xxx|{FDtB9_ov)yMtL6Ly{k-nHi64I6pYxCO7wtoL-lD%K*Vg$e
z{Y9xO&e!NKvK^E3U=i2(LLF@4RwlmESUmBDSehy)FrxT|sE@w|ZL}M{n~@KHd1Keh
ztn^r^#WB?@uXL=`J{CQUNgUqP-In~aBdvhpHvNQ{Vkg~?gQ#3_Qw)Ue-m~)kX94IJ
wIv2q*#L=F(YKag+beQp7z4&^6_L@`2ex+}?{ydR##U#-nxhPq8xY_Fe0qKu_S^xk5

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/profiler.doctree b/docs/0.10.5/doctrees/profiler.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..4582bde1d90f41891344861b2720c9150a292af1
GIT binary patch
literal 215481
zcmeFa37i~9bw6(7Q;RQbg8>^{tg*E_?5@_b9c<YGAHo;1Y%JLbj6Is2>D`&u?96(4
zM$!Tfb^_r8O!$!?0wzER<l@f}!aso=<l^R+gg9IYfh4~;$B!c+KnNruA;0f?b#_np
zOm|Q3N{00(LDF>9tE%sN_3G8DSFi3r;dRFzbL=tnU;p%ArQT>Anyb`mt#-`|4);&4
zwX3~luhl*L+QZWi9KP@HRDV;aaxiH3I#us*{}`00)*H=Q$7>zF8y`=j^4&%=m{SB!
z>{dEUo~>R#p?~V!oG7n!+KY{**V%Tse$w5C`xBLJx6@eYb<rp_a$KVpfMEZmYO@jq
z_z{0Up;cLye>=I>Te1IGs8siNyhT|Ce`(avD^34!uYXdvvP7j1*C+bNHybVQ@UxHY
zpSV&%pSy?a$MrXr%^>lw6ZP1x*m6hUb%HIoJoouquef9j2>QX6TBTdjq_?12utgT9
z&pe*FPS8EvTc~g9pA>l2Zlm2Y$kk7%pGbq9!p9T3jc(I(KJ`z&O;KP#P~`YM-XX%x
z`SP;E%mNUat&958>QAX3SD)NfKYv$mp;A8sxYf_R`*8hi{Qu+d|BuK2Kk@Fvz50{u
z(<pwCEMC8$e*UwMM-MNQ{ItC)=^y%!QGF551E0kXj9GSSKJJU{)YWL^8QD5@rPHaC
z7`9DdOl7H4S*g3|v}KPPttGKaeIh=HMj*UOusSDh?gd@Z3p~-Sd-7AqtJJ*Cj0n6|
z&HmbL)88jFuVzFAUspPfR#&upT`t%0R@$BJoF4DGw`<Y74QTF4kLJ$$B(ruCsxhjJ
z=Bdp_*XvZ8<%MRuy5B)`@3S%I8_P6U;Ro&3#A2tt%-Cskg!)SCpAkwTIujEN{dSg$
zsYzl+nFN2X8XTCM78i(XdfoQy4zCO07Z-`0?MiK%xNi5IGvb;%Z@(3EDxG_KUUx>^
zy!+N&GlFD%LNi2cH_c2@D@5+PO0(K)R=S?p-K}&RLAOy2X2i2vm_MuHcCXrAYBgw<
z%?PhsotPlLR~DLHS@IDS)o|wI4^#4wa(jg;1>0XV3C6GVy5+@oXSvdy+$JVhI$pQC
zI(gqTx&_IYB6Q|zz2%hvl|$5LM59%M64`#~^t2L~4Ok0?)y{_#A=vi}Q*`}JhnAb$
zf|UxbOjrOssP6;#>j~g3etJd!<YuL{)T=Dvw-Z-ZyLIU1{%Q5bQoV`)@0PJp(c(k;
z@&#%#o#ITUTa0@Am75l=PJt2%x}9FN+v|9>8U9^~oH*EMHU*@q*J+8RW_zL1L{Tlo
zq7sOM9tu=~iE6vqTW*PkRiXZ7i_M8W&}j!MP;iyyc8@gGVu(t|6HQDDuO`|p)^3p5
zPFt*Cm_~~|ayo3;-2?PNcJ=pohhsxlxJQ#>5*2YhRF~HEq2FvregYI<n!Y2n)IQ*>
zYEOb5wxUxeZW;|6)Z4u#x&f65<<qEEn$1<wAeGWsTxC%r)hfEHD;_UZP3p8+<G|=P
zhOmzmw78D!q<xa(Q}y}&?Zr2A*kH0I)PdViyD-B9I-RW~=<-Dm#v10ZHbP-Vp5l&M
zvv9&<VS5X!OVr=&k{)g>{VeqaT$}G7J7=lTKcZdqh8kUZMLr+ZSRz7_(7C4BhBb4r
z(XER%c-j%#1cnXFOqK&=19+eCTC}XWx<(p05P<~<N44s~Os<IojS58KK&9EJVX1A^
zpkxS=>pQT2t#CYLWZTZTQxwJk-|ymEf0NObicNA9VK(t^wjpNI@4IA1v+4cJre_s{
zjur2M2u5K^CoWHM#N}>{<KAC@xpo1YQ{XRbEkT-LMz1cI|GV#G*>5lSu)HQvqFf`r
zpbWLmAwzBR^u)vku(inWC3Ujcz^+AHJTE%!g8?lt^rLP>nL(Q39Fd)?!xEahcz&7*
zDP0P~olLuE&y>aI_D+>d>Y@59d%2q|RO$~82TLUVowjpot(<U)$<76+QpOzUdBN1e
z>h{f4dNUboD^1u2+xK*OUIYNDf!Py_gQCyvD=Y?^G<aw`aD!iu5Pq3i&-&*th8dXk
zW_`KddPTi$%*Xn@VSDicXYSfXzo+a)yO_ghY_(z0#Vz~|2;x)+-ihfM+UtsHr6qzD
zuc}Of<q7!@X)VwW*Tes_r-4;HHbu1c4WzcmB6fsYx43>4pnN&KUf0X!Wfn`TIQx$#
z8)&vNOIRMRXkUl?8Jbc3?6^Lj3No&jf$Xs%hT&;yqYGNsJGNo;XEQqgI4I`2@Q<ZG
zGWlb^FN^c0{fdxjaL2O_RhCy^_`#(Spd--jJTQTcjPT^Q83AXR+*r$<^fd=y_2c_(
zN(*b-vKh3+!FFfAk%u*+ZV`EmMC9~Lh-j`~33f3uK*X+o3!s(DS)rCpo_SM*qk@HO
zri95iJ=DV?7f$x|nN=z9x`{3fDu095f)55Rj0)Ck_PCJWiTqXMTM#he*yn%=J_iQ|
z7Z}fR5n9|O#W-gMwG`*W*g!jzn<y{ZX2#IU<39-^KHlQ9-A)}xVV<UTn}a%2e@Ue_
zNka`$n~%9;1?xSzXO;d8w5=cW#SGlvCRN4dnN$UK*#2dv2J6pTL;CaP>v|n>?l)JZ
zKZY$4v*{+U@x8sq$_mz5OuZg;+!Kv%p!el46vaZNTdjL`5iOFW9sZ4S_}81kr19lz
zP5B%LhLE!SagZBFSxTq4RB?9k8Lkx-x&t0uQhzKO(l@V*@vgV!9b}_=+XVg=+6zqT
zAEZ}VE7v*6D}8n}rAtMOd8I;o0g2-pY1kOoaFRCNU<a>gN1PpI+OfLbgGn-;y4@X`
ze~!j|42vm*Z&rzW;25grqt-U`afrD}nr(>QJ>wRyvlORx2S1qc`}az<)6S%JNb5FD
z4c5AgA+6iTE{FCj^~wQE_JeIUS>fX*2N&(x1KP6((5lN7F-68}t+B{{J^T$W1?+Yj
zT{_ZRX$L_AzAjSE%NU*197IsVi7z-(CYKqzyIKP0)qDsf+ACyewL8YxJ-Rw&S@06c
zg8K}hSu}s$VMT}qJNDE8V1-P6?JsmNBS&Ek2XmceoPpP9m8*aUIK1F<_nKI)v|y(i
z=!zj`hy0Ur$gj#ZWIsG)yEAwj$c?qw+1(XOYDI}CFLxJf_t_+EAj*~SaztNmQ-}8Q
zypmQs=?uf}p5)W)+~Q^dH?cL`#6q|U`WkIQar6>=Qh&WzJWc;~tK6Sx$6nT@@REX#
zNt4#X4Q@5PM*z3Xq~)dZK}@mnmda*m_Bu=D8KmG7R!aR%i}r|xk`|*O3*}jA8i^fh
z)xm*@-lD{QGZ^^qmx}AxGbt`wE`QC`;N|jxkgo3P4(VkO9TMHjez|t4nGIzQPr)L>
z45YKc_I+Z(>mKwxKJs0j6W1X$0lOGlXDvPLZD=-#DwYNrYz3d-k!jpQ`Vk4~hYUbj
zmcJi&parC6E$DwYbqtGE(?&rTtL}4ZcH-PX;L62w^z)Pwh^;y*#VM;}PkwmEZv>0=
z)kBb~@$?mr{LSQbC+*%tAiW23Y@cMx^gd;ABIt!o*UEuPqe<tqFtya|bj((Sn>7)1
z(pzGC7;zi$@tfJ&osfY@0Zg<N1g()xPrgAk#>f9Slv5%A+Vs&*^V*!a-gOL<m$-$X
z%?=$A=-3jYP^P@Or8yXXU2h4e1X91ir``=<fRm9;=Vm+vROZMl3g|&UD%}Y?Y8ljm
z+8DvU?krBMyZdIuK7@j9)&C&HwQnV8>=RSBwO0`50QV3Egeb0s27=O7#Z8EvIy5~&
zz3t(zIDteJIWlFFqC7%os&z!|Xjcq{HXKhJu;<3=-(cDQiKr9j7<!ZGyH@%qDHd8n
zEIeO{&=`3J&8<R6=KKHrLnRCrw;#5F7bI!_m0!|MRp<V40y><Cd>G!-ll9EiQ{qH9
zlPx`-5vM;Y%gGjkXY7o4)Qme%>0iTp^k_$e=uT}iN+r^-$^88~QAYk+f_?qV@cx~^
z3QhOyIA}LZg0Z?Rf1hqFOi!BCuwNX_7+kCwuTNoJKbH1VzYaCE9qcZp{eZN%UBtAl
zT5Y$wl?GNE@=frmcBMlxAC<0HZge_rELpTB>a|dAaOWnTRjJlxgb1&eb;Lc9N56fr
z<+NeU-y_ntVT*qoNr~`xWfB$*C`~X2&`teEFZ7yCuUn=lP$xhR@~G|_Y@#n^#DOn6
zpZiyrN;kE-Tdt?Izf=;l;?|ahHRvsLJC!OBB(OP@MzC>B|76$3+=QG4Hp=0dV-jR~
zbT{HeEdL0Nb31!#h_;@9o6G<r({MQpvi^R_jwSrT>-g5}VA%Hid1`~D)Vdo#kZyLp
z1vRVO@1b^zUy(z+$23A4QrsHx7x0UYG3!64RN4)1U~7rxf#xR}Vyz`|;v!HP?n9iO
zV@9#(kc4X6#Kf$)OU=cLsq~DVnOo^!xPZbkXockB%uPrVe$(yfgr%Zo;Y8VU%LvxT
zhs}UfY%sMTyatt65H>>)(x6})?We8+#!)-jS^iek>~jzOyYYu+o}BJsex5gyH8wKY
ze;@S*+=3xHyq?u#Tt)c59vR0_QLJk{_BM>;y*!Sg<+bR(dqmOxiBb(7?jJi#A^iRe
zs8{kz3^gSo8#=3WQ+Ad}p$UWf?ow$dM4zX~H5__R0h5=QDI&K<@UPQcq3sN*%wDU3
z&`7CBDZp~VqxDKJVzgDFQb8U2Da7z{<YH)UiHpM|5ccJkHM34^4VN37fc5q2e%!o0
zSvRg{?ePSqojyEg|0;_(={fra77xhoKFrxQWsB|YI<y7BrIBUV5^qP%&oL$=wZt`A
zON=LEjw<;cby=#C0*G6E!*qrJ-w{NH>JOuDehG;D2O~1HyjB9=8Bx^#6BO`2MWw>Z
zhT4(H7oco@y;Rx(E0~qd?l#U(jZNHux0nx=4pcf6F}mMdRm(IV|EXI?6;@Ca9MRoD
zpeR;uQZ(?n;J!(Mh5@Bnse+7_!B37Ejr(_6a~XAGE8Q&(!zn8d{kzw66bXt(;${>L
z{nJieRy0pNE<Ce_%Z0KM1uC&|a0e7k@hq`j?5|M+5KkIIc9rtWsCgcbexyp-J*ZNw
zfQ%zmj!@lRd>dL=)`GOvV%HP;!ru{L!cgfmTI~Nr&8wLSL(6L|wtYm=L@h?`NM`5K
zV#$@b#s0CSsEtND8E0E-cMKQa3XRn{*a&dj<zO8LUahvPi$uFx?WrsRSpHL%w%k~j
z+}NLs8}ABrdgQdYrc}D7wJP?|b-rC~_astTlXANyO-bq5z<uOiOM1X-lY@J1Y~shG
z7^ghX9YR!3k#iE7wfc)y>`Sx2s%^RZS!lt`X}0C!KzaE7HyKzSzW>ecHN6WHE4fIL
zBa+(5t_I(OnlI)arka7PrV+K}POc><qffNMCIvMaJ2y(#dd>DhI(g#lgSm$6Oc3Q)
zGp?^JRqQNzCyhe*?=XW&v7I(L>%HOboAcVeA3yn+V_q~N@ZV;6J-STyo`cQXg#4Ai
zaO4d+_3-mukOeFsa4gJlH7<aQp=~-hO8SntGu)*J%80kGp$tyGoXYaPb-7A6s|P;f
zHr$Xe@G+KKaJ`igan@*~@*=s?9NJX9F`|sz7?!DM5*g$=Y2qZWi<}0D{i(JQ@GMW*
z%CPJ@jYH@Ud1&t9|KXn9?Se*5^>ihbsaKYfdzviSp^_WG^X|Ku8~4evZ>DHI!^yiG
zRw}UhI^H(+7FjNGrD1I50ytdtn&^WZ77KzLX5_D-p#r+4HXnvk%{UQicX0lg^wHkM
zM+rL`mOVt$;l~K$<(CSvAnr@hTTb}0>{SxUd9_CJN95`ONtf3%5*Eq$&_5h#WJj5D
zxv~%-2?2zx<{_w(j%pJ+N&Afo?qVl=4!Si^Ncbqvm+&zRBln{_Yk-cg&82WWKv^Bo
z!2{HT7j3RB;*ZdrrgE|WZC;W48cklwt6O$6GBQ-_mT(OJ+~QDNQJN8=n{h^@+q0^H
zXiS=OEhHTo#6x~Ikf2OLUnXmd_!x`8r0SfmY-Ss^AML2pM6sHX%5T=HDqh=h5z<mL
z)jZPS8RjTgMjTk9j8M*A2hjoXn4u52*}mUXAp{A9bT1IVVAS_rVTCor8)>V+qW_Lg
zlFET4+&aKa;S(tyoh2wIS+okPDvIWzJR~^NQd7$5NPIoHT$O{y3rWBS__~>woMbNX
zXVRm2SYRucDYFe}FsHwy>7zhJ{~blasP!~R82NN$b5bs`o?HW=mdeW>*0*XfFl#0`
zp8(j@Xm{|D7e4N?AxmPWN<j(hGNxdp@2Vsz<-wwc=6(FP`;=Y0VbWMVv0>7X9kgN6
zBpDLR8zzlhG&f8d!om4(!=!Pxk%Y_U4U=ZWq*-^9#<+jjmG=SiOASdgIyyPZ`@()8
z>*AdWxv_dJY|&Ldy&;aQY?aJd{7*_(*2i<Xvc4T2f^}v6F38DE+!1qSdCM!^RYZZc
zJhSTw?H)ESd&}+4s@_@f?n4@{aef=SBbELf?Rl}kvtpuDb!e6MBVos#*5{j%e56)x
zdI#8XV|Pu1ra2P?>(PG%H>9tE3!`0lsVD>5u$snXr*@nj1~;q5f$O7H+N>eo9DASe
zSh-xnVB}UVyus)4!-kVsDaC+f-SCjiznsBsHXek*0c}3eu2vRkkH=e}hzm_Qjp*0N
z#z@vPLN?|Okr2(ZS7lD<eQ?%3Sg81K_f41$+{Q$1MLh5%$MoOEL{8E!8xvWJ$I&p6
z%~H>1%jd>6TfP%o^X<uY|15PhGHavQ-AoVqvtz@IxWY;oM2B2qJ#TmA00k6MxFFp!
z=fCUg;rd{9cp-z0|1D_-eIt_@M3-9s+0>u|&08LSEIMsXxhwY|yhz~^aOyf_Xm22^
zEd>uFF$9v`qW3r`tI=PP&Xfa+aj4TiXpShyqG3mP%<+6?`F+#h3}=?NJn>j(sG$+=
zDwTHKy60Kj#Lbku3uDqOp+V8#+bs+?=&jHl_yG6aj4gYc%oPAwbb6w>Qi=H%if;B#
zqmIk)xtoh?DsnP^1~rm4U!6XgKLwSB?Exrtwu<k)<-9}$DW+Q8exwVBBo<o;JY@U8
z^~jpNr98Tz<@SY=+ZSXRmg(!0!+jkY$WbkoZfjKc<DRGKe5o`sQ4+f;_en)h021&D
z?uxGLZ|>u4D03)6GdKLJET$%nkO^E>sD~RxcXnK(G2*k0Adup7Mzog^A-F0FT3QG$
zN2RnvAPCq?xk3!6Q{l+!k?2VsXOxY<M~##&g`OP;y&Z1Ccl7Sg2nNoj(Gw->v}!$`
z7->oJ@^Vk4c5-wF%?-M{L+x<@;fYctEWy71C8k$)*%@-#>Xu1@`*v<%Xh(E-*sWYN
z%!R2;0_v##%_%D~oW!z|R0RhC^ApDLKm^)sjCp0G_E0>SG1MM2=84Rh*jedxby%sG
z-lt>W1;oJnxFbV59A;oL?WB+*DJgPdCfBAgBz1G>;?!^^Hp#j`TMq!*I#0fho3O>?
z@Ii<mrJI_ZnI!g6P*lxpHkRoP6wb+DlI?`jVNY@bIm(+WuMomDVUkVh+;cIBcrIY=
zPjM{TTcve4Ro~xaG1B$tXr-8<V5XHyx4wOHc~z&eBdsEP(4?h7SETe;gQO>@j8`k8
zl&+7S)mG+|anYHh0z=ywNL@EbGJO`HYI_;)ZFKQk%AoUuca4MpGx%o82LFFZ`ESfO
zUQ2&xgx(wJVZP<UjCNe7RMJ+wG(nTCxOxxi(Ps4nKrrekv1E)@XMc`eKn5>IoH^Ks
z7^Cj9q<^JRcUrj1c1dCoKc8ArlXh2^8a_P&dDpJLf-wFRR~T*5&Bs|~!=Q|scwblJ
zCVSz66vQkV>55}4--saQ*cm4&Hfsy;1m?PJgAxDtNd2J;H(MIi;%E~v+OMJOwAspB
zN$mM2ZeVCf^uqoXE*drgr+4Z-N-Ak~Y(Q%~j;NW|2t4<M@HRCobDkQhKNJ&Y4z*aE
z85r$<IwoF4Ogx7>GPJ{CCMMHPw8>an<YZ2+?U;dolv>skn`HeFYX(w6j~_HMkfuRe
zJCMpwBD@`jA_cj@6|#Mje`E8MtTdU;n3LHLwGOFPX7f-rPwfmepJX$-4Xv}$xFIbY
z(lWTYkiR%vjIfD$#|WJ|+QfWD*u=D2vwt2YF8sf<aB$DkB;vp86wpovXjRTQ!r6bU
zU4}!GK}%=*kQ0In9B=c1K-}R*QfTk9wq;V4HR$;rT1bVzLVu)n8`HD1{<5jT=LLJh
z=LPS7E?w!9xxs0>u6EG4<-?nIL{OTa<h8iSs~s(5kfv*aDBZ!1d7^6bU=D7c>3I|)
z8;USdEzXG>+XoS(fR^>6I}6@~cZlMSk(WB*sN#{@eaqMTC0~Eka4E|v$(=MAG=oDf
z9daAxT+2C?shkvpER5voY|%w_MET>jGg=i@@?=}hSp>C%gflf?Y_70(I6`;(q^(1H
zar-ZukJI^0%Z$9Endz~RftA!DE6KSpvQRc>iw7o(JEK)EBFRP-BwakLD>3OF>S9Q4
z%_LN|4xr-JB3#^mTVz7N7Ku%W@E|%$mF?XSwzLlzZwMO_V<bH8JWAM%&g5Nx9}08W
zDcERB;`w3a=~xmMST@Zb2xi@mX?wyAG;oRwtom+oy?71}Jh+7y<so*(IlF-xsbpF`
zcgwfQcH@GQwj~n38_fK7$aUtIGp#dZKm3BJ!S+KtWIybE6pjw|gpQLBR*(pVc1L)L
zQr@K!be9S@sqDclE}yDP!3g*(s~3P^w@u(aXPHCx)b}|x+Mw(dq$J%q*rhyZoJ3b2
zHQ;47ym_u(Y378vCT$wGhCIEuMCePKhPq0~qV>jdZ&{N-))v(bd`0?QO14X{2GWhF
zP|9B&IkABT-SpmO{d4{Yq}2U}k)bTs&Al{1wfMQ#P5;G-iN>{+0TY6Gjz`5il~o+k
z+;#EX{EXOj$IhKIV(Z-e-TGW8e0nqG)*@Gcyt;0MZ~Io0?fb}f!pv;eh93sN<7vYK
z5wOiEfB)H--*BPO3$-#_gfS6Q0F?Jogy}SAqNW@E{6->8CKLFI6w(!38(j?=_BpRY
zX&NZ}&q;CnOfGS|FA;%v+|<Hjw|LeaufW4PT*SNa@{t!(98r};x^F9~6PfC12W_F~
zXp{Cy$l{26;0W1nAsHRY(QyXWi*BPC(m$jDwd|oSsGUXRN3hT?;qo>0h#sw<n{aZE
zYem$51ohZ*@9!k{{x%o)UJ~J+Io<BR<_Ic_nE~-|6v)xnF~bX1D*pmTjHgt7Ji-*C
zRQ5i=b^{Wp@Dfc=aaNGwR4=zGO<J4^ai$A$>@Q$eVVRz!88bOC)oQn9r8<%c)L1KF
zlHt)SEdJLbaqa*=NQJ4jB4lJ>n#wn=0<qkK>O=e_e8O|cnvbc9epf4$5Q!9>+HlE{
zEOjai6ZGpyg-Iq7E~N*H@<r{zrAFq+CPgv<2MFUt)VWPd{myH4-n7F2XOuFQxM{Y+
zY!idVmEOO-tWahkHxRJ{X@NEvVpqv@3^5bXKlViS_x(>UW%$bQymPiT=U~aAoy08U
zYF5hJEScwye^eJ?L6b$;f*<Z0<$b}BEzA>@Wrj__ZJ2WK=h4b|eFu-y>0QjQA{Lk@
zN?;yOe`IomKGxLWjm%HeM#iiXd*5hdpjKr6(8ZP7gmR)$9tAbgJG9@Zt>`aw1T!&#
za3U(QNaKM?xl)@m!<)M6F1WkM=A4m#*^0l+;-^dQzMEc?kq>=_f{3PEa(w#4ZY$=9
zbi*i@Ej3QleBk|J^EO%fQz53Yibx{#2|KGPqCHpZEw2R1!4`FlvGs!Y+W2jB%7G~@
z5-NtCDjlgF73Aw{C^Ek-iTYiW1R$G@!Q|a{0WHv};WF6vOQ*HXy}_l)qnb-*ma_eD
z5hmPt_QPS)V|w29792hHL^W^ls<ND}vu64^s!W$6&x4%QZmHx~KW|~>FhrY8?q;E1
zm2UFu;rgcg(R9ACL&rO6t(K;!!Og!;YPV~Qu1d3ECO6G9Obym<zZ7!Q^zYR#+LKSi
z?K(Y>$n%c+uc9{*GC#A=25!zxz~<2}d}2~|MGqSmtQkn8O;;_fwR7?O%>4YkK$<kQ
z)1#=Nxok~a=RxM0K;c${g2c@US2+%Y(mXkK#x}#Ex;Ij9Xw(OXsZdKCrgHVzNEz<;
z$EOv8ft@wOLf3zVrkWO_(8~BxyE5`xm$;qU0sTFr??ZJa2FlHmpyAYl_QC-j70EZJ
z)d~wqBm(vcPxCfhilAaud1^8oS3H9kp(yWDu>D1oCJ-6Pgb<&MWe#UMyK%fIeSg$9
zIDC3Y3(t?8B#X9jb?As@s>)-#Yku3sm;i7tf%NUPx5rAT7kKC&{2dD`cKt!G*$tef
z|F-ZerUUD*qLE`Qk6T1H7>fOzqpKdd3^kgAmDs(kl9E-|=p&JLhLwQT9Q{eVYGBEw
zvtC*-X4{=vGq0R=*C~yqSC^*c(Jeh>{pICr$ol)(-ReL@&m6Ja^J-eXCww(%`L8B*
zk2fhYX?<E{UtwzSD*M6kDtmF#QWv0e>==dd-f7o*)rNe7&%E`Vqoy6ro8)NTX!@4M
zX3*CJe~(zMhvn-1{_~T!KBPJ6c!!3C-3Pf{THX>|4Y+-$4`t+|MPT`^cFUW<4GHW#
z%T!}(UYql4+JwP}=f<x9obhbYKL`Wm%#FwDJ+)HPomm>DGaYmRy%uyBx#9b15-q2V
z$0*vfw7{{g>(JL9DRKr=49n3V?Th4QnZ)+lCxOpHCfAeIq@uSX;h^d^s<3K<YNsLB
zQa#H?6*CO*|3nJtA7v6ynr@#kHF&yxlBU~`j-R<3j;Ct3M~}FuG3d_5eX<?=YuUjs
zndZ{WAnM>3ObzbfABXk9V@f4AuX3p*{qs|y>&E>vqNQ}7PjM?p4A!rkhEsG^Uo-eB
zDgnXy{;|#(9sL6%p>M7~#me3=tMOAbDKrRp&T8;Qq{to9o3x*k&x&U0omAz+ZM0T;
zUAY%gW#HqG`en&$dC1Nz-%!?*NTOss%Kj-QVF2=mMuCl38DaXuKaHA6?RU~z_94P)
z0#%3UAScfIB-0AX)xbkx*STr4k#C*0U=~UF5iV++G~p>fV8{*`Qq3A-XsjrH7g+oX
zA#agm%EG_Uj46f4n)?)gM#w#-FyywI9Nq)4(Y7@sX4@=gV-mJ#F-_rLl?$y;6Iz!S
zhE|i%3g=l@uwgl({0i7x(fJEQ$J-_)a{|vrHj#Ov3l{;2CeC)GJpgNggtgo5;#k;<
zED?wb<Z~>z>)Q{@3+{sOcjw~8XNVWK7RHMg5-&pO>_@PI!c`W5{3?Wc8CyzHrr?!j
zMj)p69|S%h7NzA(-E!tg_R8{!J0yHR7oR>$d|E7wPgR|#Tj$@6WmAppsusePc<RLI
zXELnQGUO$eA?wn-MV?zmu7F&~e~ys9uQ24F8}m{_yq1?99(uS&ASEB!6^JHlBdLC>
zmGWmS+H2ONMVMO?{u^>3{CPt7aA64FOj~&l*jBj8hs;Q=kf_pEy@Kj!#gNS*ro2Pj
z1iAjy7SNh+@3x>8*^0%H8xa1l=ECvM3CDL9hT~5CW{QH*{4*PnckH=-_VNKFKVp$A
zwjGNlHzE9w<-+nW2+I!@hUNbne0v3`%12m8F!4|)PG<JG7V|!FDEfo4TeQ?VG$GL5
z;vz1g;3zUc7)bY^hu|xIKUC7xI)nDzF?RJA6+7rG<U)t8di^D)uXd}KwgLeCs|YWg
zlaJHFgE!kt7ZTehyG#BdLM_>;NLSM-tq!%%d&}bhuBF!Je-_@qf6w2)XGb-Z!;{Rs
zHdCTsDA^di((T8;Ky&L0%!;8b(-)UV>@#2HJW~`SsA0JpJ*n!A+2GzD*`+43E6<F2
z0-mj+oj%Q|ClBwTBZ#9)0=RRDu(P)xZw_4$p*EBu^6EQk44Xs6_U}jX_wUAmIh2>R
zb^;YgGlrAtX3t;J>^X;-FqBy-XU`{;&sII%g$Y!_`G;|&8moyPgVp~E+e;iaLyMBT
z-q1;618WgK5ffQ`kWRNmX^W_i^b0WwP2H|ocn%vo5NzLLsi~d|`RJHjF*fy2uX&5O
zB0<%V=Nb=3zxHtW`Sbdw{@IZ-W#oQZb_(`Cb|g?)BTS|+;Ny|oDm1|02n<lK=|`k(
zGl%^;sT6FcvuGB-My2_o_*=e66L23-Kp;C|MadB$*eB5aF`njd4wc*1W)j#9%a2mG
zrN6oOwk)LF4BpDj0;zGHeu?mWG2@v^p{<T6nwV6C8#*weHu<-^G!D(<p<3C$hl)CK
zaaRiR&y(cuNKsTJ*0UCn^h$@NsNQWXBhE=`(prz7h-8l^{Z64!-FACFd1{;^3Qx#$
z8`sFeJ{db?ghZ-M0%`4K+y;SDjsndCnU=~)<g>I+4Qs`*ZtYpg{($7wZ_po((KS?1
zjb#57N%pVhVY50=NtV4tA?HIJd)Vc0>-18I7%Ly$OgQE{EnG$e&p|}8qBT}|5B8ZX
z!002sKV?WFM|}P<v|SQDeRQEt#(;Kp`t0g&2x>d*7|k0w<GV&}Ea{z5*9h5yrz+qe
zVjl-Z2lM?UZNG%<9tn=swcntQOI=$4aVvsMSNPwG;F3-R|CVt1I^#XGg0>dFW?G3o
z)4P==h{H&wx`E3ci8CprVr3P{h*~yIll+xkdUe>I@KM@L_97c#qZppF$zWJ`Qx;Kf
zMfjVjvCNbDVM6o-R84tGIs#D+FDy&@*Rh4S$hStcNldUyAvDl&fWJp}9iN^q$Qak1
z^!6?88_{VBPPJMCC#X-h2(Nk57IAJ>_#zkLe@BR)R~X{kop-V@^EcBypv`n)QeFp;
z6J7}|q}M(SEQ3~firZO#nZ@%Ox9qHV`2IJ@D@G5dCvFjAy25{YF2w$x5WA!>#O~s!
zkCm3h)p?S{gY^bSp(1&1jBG+mxsF#uZ091jZ>xxMh4;O45XJ<Mc~b{Fy7n@zUqv;*
zPK)Q7HfxdQ7KOhn7t;SgNZ(u-(pTuH6556b$XbKzhP?$iY)KI?(3sNnbgtmQWk+J8
zI94r=V-U3{F+JgXxlsB?La9;|N_+QA9CM80oSU^qEY9m2EqUI<r~dMKvs}cb*Fj#m
z=VTA#1okj7I+&I(9I3fsV+HukTJuVsoJ!u>nzW3P*<RsiXpO3GEFxVMs>(xfSxCJP
zj0=`_1&t*qpX6nt^oo{Ve2sU8`^D=wxl}3?=8c;cynvIlM0WyS8#+v&?AWx3^Ey7F
z55_WxJmRaMv5#g^8(Pdcc&b4cs2Yp%o=PCSNQN52g(VJTbmj{gq%jEUa^(<}svP3{
z7>T9u4muU1KiJCiL^7Y`^P^Op-yuy~A?BfU(4f;tMMpoR4p*CcNPRSEyhf~u$iNhI
z-d;zp$<P&}7wCwSZr)4y@H(-oinNg(JX}VtQRU>3>lfTrJ@e0z73JIRsv2e~u2FW7
zGTj~L@Ro!9-oX~0X|p6`d?)6%`82W@`+J>k8_67Eh?q|!iC{XHU+8t(nu?v?A>7c4
zlxI0x>h!z^@mfmYyqfUKWgUH-gIq-sYZ5LT2q4K~x87~z!Zk^TF<I=79oT{gDo`bk
zQbc#?zmix$ni=^dp8{!ccuL){Ul+wgRlOSCzf(24b?A|LyII4szbGfLEM5{gN}<#d
zrl<r3N`;9ktw2ZeYCcO-1Msc#jR#Un2nkxip(O%?q&g3QuX9i^%KTOx`V`iv^iUv@
z?%+O;4AwMCG&1uIADLF<HFu(F=MJ%#mt$$TLp74Nr6mVkSR{pphXzHZ3faLQm}p#h
zrH#0AEi5%|MVpL_kL@;tW5RD#p;fE?^{C0X+NWt$@PN#AWzRBk739NA9^kQ|o(!iB
z5<-A=Th)i#*a@j47_8I`r<fEfl-#@?SCx|YA-6~ueXy<RdUEQ?n+x&)LR##wQXOnS
zBLdD64hhP*J<#jmZAwta6Yc?mvPppP+!X%k;shNFBpa#}pH^=Nbf(_)meI7fzrY9>
zX9wH8CWMrPm=9{JT~uJvpt#mWT0jrtKDMEyKUJzI&hJ5~I4Xj$(^$aWMTio5!UgFN
zg%yf41r=*6&BlJOBClwm`&vUl^xB+-iw3dS@o<FFqTXn@<TGTl`xN$AL2*ip=}Zd8
zuz+A!8v%8OT40L;y>e_Xs-}$y&0))<T4PC`0im+`m7I*sCa0AgZbUOzH)B5O8vqPc
z$YV)*PKE!>8Y>GgX9kT0s2og6kA0-Fhz#!ZpAQ#E_{7LBJ3s9`GoST|)19Jh&k~!4
zW=@1>;SkGH)hovCbcr1qtFy#fl_R|hwmC~=Ym!b-xz^%rNt79BZ=y_EYZFDKiJ8vU
z)Wr+8G$E$B>`dxVHY>9Po2JvKP(Y)!jm<xyVv<cnIwh^aoK%&vT9~Llu6<b&#)Om|
zHwp+Qs`)fx5KxCj*p@U43%4vw!kUoT?8@9$rL363rd&sh5&}wZAM?`ZZjQ6tlO@=W
zOGv1ztwge$i?$|9##LFkEm=Z7s|E~-gcWDF-G|o<kDwiCQ7PVvEQv?14M|K{a|^PB
zYjA6AKbFMWS&x}*$0^@)EXDp-voO$vH~$#sq?B&l`CL`4v-V}=r4{~<XK~iLAucC9
z3bkLt{#w81j3_azC33iWV^OAV)T{j<jYyuc7T1QwjmZoDXS3jDj-bCxPVUz;XsM1`
z4@-O(kOW_EH~N?5aw$hqdap$(CqWAd(-QvsazXMHg5*8pL2@%gQplbqiqpp}PDQq2
z!Q%#m|H)k7eU-rb=y>40#DaH3_GnSW|Jovc#JgtM#Jv*!|H;LsuMwNRG#;CtYmPgL
z-N;7a|2GT&nl))*<<^A%-CVH#6T$kg<H7ork-PXPK&QaBqt=%cmF-Zup72kj>X{=-
z{+Wh4fvPDZO5zrdr;Kz)M2C8TJJeC03>)?3b3I&?&o$Jq(@>u>-cYB~`c$GL-eyOf
zo`&TySI3?ATm%0X8u;bo4SXhxhbTJu=h(q#qhkSJ61Zrd3xIDB0Jn|@z?~9+qJ3Ub
zsOlD~wQA9V%8lVxcrH-CNuVx{2kK?H{C!c(UScuJNzg*Vv~XQJ7bM>zNbVaCk}Vls
znNcu)#)6TVl!bw*;7)Ze82*)DI6NK<ml}s`2LEgni+5Wr^3k(^FezM)&IQP~36OV=
z2gp_9c%Gxce8d7X9$gC%lNA2Pasl*j1ki`Z1L*2;ed|$>zGy)jpSA^x$>KV2E}*_c
zKz(6Mpv*Br&J%<vP~UQZ8k@ESipdK9+qr=HE&=t8@qoI%m~)aST$>(k?EIoyu%Iz<
z;Xj(%$h;Z&cLMDsR2^e8aC`A*LQw#P1#m4|vtV*V!k^3q=6?{FPaY4<*X274%Xt!(
z_8g4)F)CD{|5JJTo~!4X`W<nTUy`GjQXc2~x$0W!x|YOB_*Z9<F4s~1Jrc01Sio{Q
z%C}|@!i&ztJE`x|C7y?x#exY5e{U8njPsj;*uy}ia(+KYVit0KUqoPxJ_3#cuxtTH
zOTiABD+|A!Yta8i+~1#d(8(9t5-;^Jy1P;|q;9TCiA-*YF1b24SDE}3DafmvtCyuH
zs&1~v`Ks#c6%!hjl((VZYO1VXAFQl#^LQ+fdXd>K_-~T6w~hz=4F$zBL~;Esi)&#`
zSlF1l@P8*4Y~Lr?J}@3^l{F9EhywbM1#}%6w@`Dt!vAzGsQ-tc{?vF-@6|ECMaQs2
z5&pjlVM@<)T>*_+2YE5%0OeOATyPTooZ`lO%c0HpC-g8XP1_s3r2WkZrJ*Y{C;6ea
zImyqdh$y!g87<xZCKGCYIHs>dmmXs@97ACS|G-TR?UKHn9JiQUIYwwwR4C3o#jFow
zk+l<wDGL8=BAi*}A4~9@fvRI{1z&jNVy~j;PFr-3WUnl9xI@B!S}x{1ikP!`Jmx%4
z&)C9a)1ug4t*{TNyD?gI6oJv6<B$WE*GAajsJl~*x<ec0eWXV_=-K|T!n-*_Yp8Z%
zg-5MtQFzhbrc-#wk<dJYn;P1sVG8fJ9<f1(QK8&VT#`H2NARGmKH>2Qe>s!z=>#Un
zlV~)?6ODznkLd&tU-yJ#@YojqyZf-sF5~~0W#)Qx!=la&3;(6LP(OiCzkfW`@#N+j
z2f0Qk&Vv@~b!gl|&FvyQG8fb*64b9B59;TwS*&jq;`dsJ?;5Akhwp!I*abDaZu#6I
z0xffa%K^LZ84ui2#*1>!<o~!uD+?7XSxf+dlDP(dGD+4)vkpFa#ZGj?afI(rrHDyW
zZa5i1o!n5w4aZD;aSHOv4R<I-QRRlSNr+++$nE_Q^f?EL;^nVq17;O2e3tQ$c&AYf
z1+Me$Zh4crf@d|Tn0q(-VBO=Zq$+2Yx-=K?WkoS16M<gLw_0(_6}MqM&T~;E607oV
z>3(k&k38UpC@!Vy8uQcgqI9zo;O+BH17GPbDqqM^SKcYR1uiBp=-aS#^-ASGQ1|8+
zJSszD<W!<Wp8nxbmQgT+bm@0>l}lcf<+l*bee|JYmIHAbQE?@Mt?-92n_(3;>PTqs
z2aj@I<HF9Ga9Yz{Lq6*!)}G6e1GJw#iYKpJSm*mkbsz0QbkeEVlOVqv{gKvT;~of}
zLTk~nsEv2V^4y%cV@;$#YTcYm!;?F&HEPfz%54e%Nm&pz9>NKN^9c-RstxnwB=VtS
z#eEXewVU`+bhlb`*S>8FG&d{!OLGDJXaahEJfN!*=(SgW*7EExtbLnWgRMtXmYcT_
z8-@SuT-;<WbVF8dCL5}W7BSDyvr;sqEMln{lN*Xy#5|7gr?BjmMf{&BiY8dZ$$d&3
zJm*%mIcF_}{+Y<)qTcwNRf*P}mr$Lr=AFn&J^avc^i@%Qv~$R-qG#XHvTa7+6^;LB
zW$iUm)?S@S*63x?SD6}=E%uhv9|aexNsZZG!<R+hY8p=QOruUa{3cXlAFunes7^af
zAKew-a&y?zqK_f9sZltxPmBI84M48xYx1-x(-;2lM{pXtESq)wEW+t`82_OawB!3X
zO)If!h@astuXI=OyhAG~Cjl40CJ~9`boL~hyg9mHf7U`bE@eBZn5ghSZ$^?rQVm{b
z6JDP#46h#<coK~=u5lVjY&t1_kOfCQf7U(J9eA|sYZj-x6fHhXO!)tt3!ldlK3^#e
zpDWGVX0!5rIP>p8c=-J|ej+aZWwS?}X6E5oWGzxmQTWFb;k0`aBT0`Vq>e$=l!wS8
zW?pI8!()W2WtBjc{}{vw$&+rmHag3mV1da(#p1vO@BmUS9L^ye&M6Fso3&Fo<$DXr
zSEdXBQb(a2Wf7eEHx))&TdoCCwA{Fq*dY9^xw!Fo;>O$<+(=%Y6U{YVgX~)E7%FS>
zGQw?HfYBz(PKG4mWd!=@Du84R+?NraNKo5hk9-+n@7CjwIfn0}%iNa8n@2h2k;W1U
zgG~+-xPoO)LiKS#2e8)@Ne7W!F)7Qalyl^{Mh4;r9xs#)k^5KH6P1+}uY#<djaGn^
znvr!14ahvE2a!Utj6A1a6OQ3<E<E}~4-g=CB)rUSHd8q^)081b8QaU0;3<Kkllv(J
z+4vm&bbpy#&$9c-M%aaFK)%pmts8clYIj@)+2qVRqpSN1c*_|ZBbaGC!{&n-*8p2A
zNph%5)~Ljmj`hI_r|I=Q<=Y>NZ{a2#-i_Pt*o<B0o(*zdFEYfv#5IhPb#ehp@z3l>
zrck6RRhi7R4j^s8Yt6{h2T_b}DJc!HhMJ|s5}Kd|vgsA1s9IO8g0x#lN~ajcSotnS
zqr|YoHc_xXN#a+y!FALoBN)2Q{c?m0t4PZHYgsi(<b><m@eLAf3>QJlTEU0NCKLXF
zh-o(5$>BUE_*AmaI&AgjIWOA#8XV`Yv6U4w^>Dv*0V{!7##5L=Y;LTl9vm@g>=2xZ
zoMIgDD}QKCq+1GKxz?O3h;K>Suvh@4O?-rT7EwAcSj&l})zR8EVincvrJ{OWUPX02
zDXO2!t*H7t2KED1fKr=N5;Swd;J=ebBYob*(6@LoY2m*+3tq<Q_GAL<9Sqj+l|UUv
z{gT8rbZp&NH)R<`^+Oibb?k(Np4%7xM{+^Wa{343L4U|m=j*yBk8<J*mJ>&=PnI#<
z9pQg57h?p?i9gTEm}DPUqMwf^-`i6(q|T(JQcG?qawg3J_UaVm)tU4wQxsKd;N@I2
z^tkWduUIp|+WAH7sbb6n+kiFg#`Tm8vHQZ!IcC_nZN}SZ+U+*N$XMrIIjW}J;rTz(
ziSl=ABNFQ+5J?8*Is>1|;#}uG4GKfVB)wgkq_$sUs{*;^%=g!Vv|T!$a60dk&!Iok
zo?*Iil^4+JaTaRljH~np%ufqpamp^be$UcyrG2_i9k7UV+rr<H1#x4*P7>TtW4Kcp
zuv3yVAp`c6@dj)d_w~{GQNHZ3d^wtWX_?0z6#n(On8$PF+VPn8preWgP2hFrq0<+&
zM%u$$|1QhRqqx(SwcKCf-<^xK>@Iv>R@NrlwuweGD}W1AG^C7ZshX1;iWt!>qGzNa
zuZ-wZQWQ-#qWib4$!V7(gs(yWl%g-bEh{_RjPQS&T1&f%8l8S2>GW4;1u~hXiL&z~
zYUrgYwmnLAr29L$p@{789B8K?uViO`ilRz(>L}_08{Ue&9d@@90O7po!WZKP&cWl}
zkCHD`>IX>&Llb$s#A%um9$RWxtGy1Mho<*M^})P(fXS?;352Di&0L?;_37s!HS+Xi
z2+34)5r@o6UJGv(chy_E{1O+1pvW;ee86sTFrI4UChEaV%*@3~RVfdA!x$;|X=L}S
zdxRs{sP=VywlNSPGgO=sn3(d&Z(J5ewm#Di%ZE=ry`#xc!>ZVaNVg)7RTdTNZd9H|
z%I|-(md$gZ*WWsrqivMVh+4OQPkooWjy%*X7EDO^|Cj{}v)pVZARcBQQf(prMq(D)
zLhM-!O&Epidls&>Y0m=6O$q<Ma{)R<fd0pLfX+(onNoE`kvj7XBUl*;SqPX0GGY;_
z%qGk<L2w4DrVM6|lc`+<K^~nPuMMLZO<RnLZpnhkjbMYG3&awExOqGf_pQq!ZVl{y
zd5s&CY@A>Fb}SQj5ciPxDi;%ZnR!N5CMMh1iN-vu@h_#&I?9-rOJ8zB5o4am@$nSo
zl`;R}6h#w^`Q$z&4*oovDmHf7Qs|%EbMD*4-0=&2*P;Ko133JaA77vwa?9`38#<Mh
zdh~i<<X0<UFP9SbvP=?2_xgU!)Zlx4bGX+xGH$#-g#-O^3$e{)n%cvC`HMQzS)%?&
zRpuM0HEFM;r(s9Q)rJ2?)8{M~t>%ftKZB|%SCrS9R$?!vasPD+Ym0&WWf%s(8o?kH
z4T}L+7yhrA-etkyV#46vg<)`&lb5et=^~5FLa)n0p&wCp3J4mgu%)81@iB|bcyujR
zOj7ut$c5Eb!s;W1VYQ8-+#9W4yB8!tWxkI>>aQ$P<50CYF+t(~O)i`+A)LNg7*0Pz
zDVRx<lxyBn$D<eH_50cC2W)~zYnpFcjPg>n_%Jcye<v3{ml8hTDh!{imYPU^)GXr_
zK$y16D@e@L>hdMMZNj~yCyNPsEYK92h|IbEm17XocGOrjEXJolhHa!%>5t62h06%z
zO{khzx7+nTdIvnwV&L^eFQ1{?@aL6E&SWQ-9V<rU&?=R-F>F(Q(|rs0+#wY-%;zMK
zw0Y$?AL`Sx;HU4RZD!;W?xN90mm|qg!QeAKfu|EkEIKhZMcCuI3r@PL%;Heq^^9$z
zRay4P@wscZTaTzja$)Kv##9Q}qsp~lm8i-t`hr5!O>r(AAk8ePn3lJMTxbV8(QGe)
z@_w(`sJGiS(F<@Z3GOXfj+~M-nds7zOIWsyt6exP>o!6QpmAm4DR8F%Os6V@f>M?7
zts6&1&@Xvi?5?0*S@FbFdxg@kRhrW?=v{S2_GLy;@|77RJ?k_oa1rC@{ocVDp<jf$
zTh8^7&e7|Oz`Z2lPKA0&VL3kLi0&y6@scP4?}#V!>TyL{&;IcVSxvi}CbaOM6Pee;
zU3bn!hV3-9Z()^@%kMdzdWy=?+aTa2>ayHEWFTTk&h?RdH_OP4M%zZi_ITLCp;DXD
z1&L6|%XvdV`X&m@k6K^~Yr?|D)R8<l7i?D&Y%d-UwpSH5(Tkbpqtt5u6-D*9nEpo8
z(hUXmPHU&a=vkS2D+!zM-;zb<+`}1GQg39jOQ)nl=1BjUMJxu6Q}Y?)(bGVWOUB~+
zn-bsmXTjH~LI(GJ3~nk__^Ts|CfeBC(7Q&|CO@NcNlJzfwNTyHu$cVoQ;=6K$=9YR
z8q)sBJxLrgFEiy74XGi^g*dsPh!>WJd~*u&YRK28D5{2h9g4aeg=Eo49Q+mGU4t`$
zo`fwDA_SJ&$W)BouWNlLY^rD%mRLhisK+N2iEOLRI5X|o2=D#a+(CJrf=Y>5$mpYs
z)=&<bnfJ^vKr!2@sjwpZ!*MN8-X__%3%AJ}8=Pv3Ppk2XHfhmaj4&@f8UpO-+{QaO
z8_+VkI<sozg8RE;kJEh&Gsh^MXEAe*F|tUHZ}KZsd3-{4*|?mfR`@>>5#HpfPSe5J
zJ6uQdyOrlfx@9>c&R2~iiE`50?Zi$Rh1^bzN7v%RB!#~#3qEFYUrXTJ%-{?MR4LpW
zB#xmS#+3xnI5W-Bx!dy7()x8A5*F1Zf)kssT&S|hRkEU*td0{GFJ|A46b-4BTTX-I
zh9WCBk7G*;@@nONT8g4dkfu=7U5mm?$VLLRHxoX14J888&`D}$^|NSJzdjE$)VX7_
zgd~dMHDNQsQs|$`=dv-!*z!Z_^J_XNcE~;%J4#BIIBWc!v(m-MzRSQ#iK|Q61Y;sn
zGJJ4ezeq|ZA5VYsSlClTPR&ohO?E@vs@hfRec*SiTmHA??I$wvmQKz;YHD!TZVY9_
z-TSBTtL~wMOO#JZfdl7rwd$?lL5u)7%sTK0OV@5d9_DU)X$h`q<XR&yb9-@dV$rK~
zdmS&B6GZ587+%fZax0+MGP=6vj96^8E6zXBo<{*RrocqkJLG&vL=>g-knqe1W&W<(
zU%10M0hB5?jdCrq;7xd~%0d$!arn_;f%D(z#I<<R!&|KMn%x;u!Lu8BP~;_-qe6ui
z%6ZN9L4ov$pyeH^EUz@Z30RJG{D|>anqA5`RrdnZ_c_f*0Z(`b&EoM8C-pJm<i=*`
zh9{PLK^MK%+2&BOLND{^Jk8YmP(8ft(E>}lIG$Ysy51afEsDXMTGKXI3l9FEvDWH?
zzmWRi^JaEuiLbbs^sZJ6P*rzNKXCZI!&CJW_Et|g=9mUfYdc-x2kq9xVyC^#VrF!M
z`nm%OV@AjQbnM@5l~Z<N;sUX=U4ckL`c+*-hhMk*PEKb#!P9rUASzRntL<K=Olo<q
z8XTCMo>1k>dWLQ{?I`L~)1ZG1&0*frVJga_u0?*or>mzeZ{I34AM;F~VCk+X($q~w
zQ|S()3Th2JqSkG$@-Z7Gd?VNv?bw{1th%prq{ikNL0PMy?c(}MGw@PZ<@n+-fj!98
zmZm=R?VLVm%SVB@QdSCO&iw}*8J(31&NsJ<7x2N~<a6sDbpDoGR<{rjRh`K+-E`@O
zyD5<ZORnL^m*_OHv#R+LAbx<agy59Z>+(h(%+x2Dd}IoNp#8n(ZA6UbP;Kf(lQBF?
z=+Wdh$-5abx!h<uUDY4%BQX@ab+S;s@X1ApdbvffK3lXnsEDh8j(rbSR@30c5+(bN
zD2Y%vNHS*BL99HE9s0kMG17st5EVHT#D{rsT(QlAETz1d3M}sQs1}y`Em-yGx_8HG
z#`K)gh2$$DWiqkMJa8b3XA22$ipm-=2;yzhhU!ca`(`xPw@1h`i*D<XEkd$^_ryrI
z^#W1|q~T~yNAgH4s*9_06Y4XlD>8HPmnr#&p5@zLG}-QTS9;wt<Zijr#pouP$m%43
z#FJpH?i3N9tM!&w0#$hi(pv+3+b^9~dCccG)a{14-B7nmH)<8Jp>8+SZPDu1*v%Y#
z_V+NFhehDkoAu>->lO8O|HPHmZoS<)T)+3e!|-#}Ur?XqUG(h{1KK!i`_u0BaiQZ?
z_Sf16`RIZ6oQ`>-_i0&bm|^(ek>>xmbD94K!@Z9=oe6o?_Rd{$%rT{sUT>AXTq+?R
zZ4Z{zZhK``COcP#mwYb~W5tGF<;;d9F82i-+eRp8YO?SIvbL5=SVCdv1WfrFT9s!}
zeX+3w??Md`qAM%3Xv5@3f_8)|;_n=xg9Uu4)9$U%7uCwP2|mp!mDGlxcJsRsfm$l*
z50exh*YvvHr2K7e4qdHzvkM4a+rMp_kbI}o^q=m$H9BsU!<kZD-fro^;1GgFGs$Kp
zJ!ujY)rdpUHWRkDw8dFelL^#q^Kh1U9lXsdAK}>Vb*pu-rl{r<sH1s;c+i$-*-^}a
zu@@ljIB38ZBx5Qu18o)F)@o)g!!6W+%|}V^9U5dE%H>J8B{0A_aTCO?h4@CNCdnj3
z&3cnWLmfH7M1^SE=>W9o8aXWNr(ZTdGe18s_!U>UeC(I4^V*j-$8va0uiJ*PNe9c=
zmIhuE`%^Tgc09}Q(}7tk3+_t0ji-kA5n37&Vm&dEUboR~ywDTot=M2S=z7c4E5K5L
z)fxzPGT8yl$th66u*{ZrR!m(B@`&r47SCc&8>YAMv;|Q_G{o5R;4R<QQW;n18*M$w
zy-pQ2ab*dSq40iH;G(NGFq9e5skD}81nhx8ggqRF<aYyN^E8$wMkW7=roDT67(ITy
zm~3o*FBmn+W4GL^*6|xmb?M?n8SV$1XFH@bP`$@X+`-5Bxve~8k}lxkh(cgg7k>Aa
z&>6Mg%YhK_OjDsPEWd9|(Yd5Ku-AlUy&eMrl#Nzn8Snk7my6+aRjuY|6tr{;2(~vZ
zR1OVmfjX3h^_4@q4QNx_2>vmJca$-*@Bp%s2OXwQ^|0=g_m?SY8eQ+2x~bKj7Q3;0
z@QkoCK^6dOvB|?umS&`!vQP@%Ap|sANsuLgI`Fv+6A_f<%mY)r8seAjfaE_D*phWr
zOibY>9|e`%cV2qtmN=SWEC4}KOOEyhm@%0jXoZEQET~CMR*w(i-*^IzSf&Q4e<-$D
z3Nxp6RI@tX+%#)`D7INmRy8Zdrd(MFa82kygXg*Ff|4nG#EA*Air5mx_9?L))k(~i
z@(aCA+wz3;lg!S6p2$z*PF>T8)2P19kkGLHtd_O$rJwqsiE6=EXjJgZO&bYps&st;
z%(-R-%M^49eE|yQ3si`fWqFH%#0#qy9Ne1gaG5o$y{1y<JkpH1AkwG;%LFNv(OMac
z9h`7j0MXeSR7x6JI!!6=lPRUT!Rx4GES=A(=`FPZb<#wvl-p#^VcSy!{i)q-X>ZvH
zMR}L}``y!6I)lbi3oA0cA?Cs9&IY=yL!MXz1FgcS*~V$^GPS^l0(HXbXZ{t~;tGpY
zwzLYuwrYBd@YA)_Q%u+ZOpygY9kO>+HxD+Tu5gf6t+(MNrsFr<o}u>^$$lVJCd(;h
zuIQUZz-fW*>SS+$#skyw0A7Tm6GXjeP&=yOZDMl;#@pr@v3apZ|66NUS|0r+sJ6RZ
z`U~8y@&_zZOJ2a=?(K9pEA9#GU%H;ALq?{)@`FKR)VxK3-2}sM!RsFM00T9}lCU{Y
zG>t&gL@@F}T;|1dm$4r0H!ubaV$f;xVL24Gp3om<KwZqntRbK)WU?Zx$k606w9tJr
z%lITY)-aQ2%;TA5`kXpqltIj^jX)|0xo%0W>tCm6LeP_8n3_1@qAe@z9reDKoppA)
zWiYBt+sr>)OyV<XX+{(CuBW5*Y2J&oB}p4$wvjKkCNMD%XU61zMlT_!&}}?a^pYl@
z+8NLRG*f3~Tf_diLnbJuk?n-)MFul9qYm6KR5uJ&GE_-{B4e4lIS5IY6VLomtd*q6
z>Pe=}Qr)aJDA@s3oO!Its%DKPp_?^76gyf?R!?T$f*j>`YSQr_=|JO<P~IBrk6;4;
z3!XjLRAZ(^aKr4~Fne1v_11>j3p17+-Q-A2V_0vPy<~>3o7qcYAhA|22TqP>^fHM7
zN2JdCD3@K@M-j_=t;W4Q+G|xhl`8B*wG$cFKfsOY)d<A&`bXyH5D(~vX}RG8%_svK
zrlm5ZwGCLXMXSl`$^1w#EgunHzzzGimCJuZhJMuTYg|kl9@PzxDm=44)E-qh2l+Bi
zta+(Fj(OZ|$b`&H^5^nZpV+45C7|(4TYZtp@#j*b`a)4`yZYmhA%}bpaX}F5^98QR
z1VFczoaV_~k!RPc9hr%Xu1ie|>w|Ybk`taYd95@ntMJ`&jD`%6gKJi=vq-e3Jj0Y<
zuiS0pl^n0SA92_?C`X7#t)ULMWJ`Ns%j2M%jcZv?=H*-PaDoH-UiO`WO%OBFUI7-0
zg1lD4w7r^YJlsZE?h(p-f^7ZN>~EHS>Uv`dH>kP@@<5-+{!qILb>@r#lf#<!R-7x4
zL&-R>hL3qDrU%!<$cr87C&gN+4po=wbj-Si92V`6H^O9`08UY;d3o4LE^YYZ5Wyt2
zh`Lufu!_?woFrk7!}kkTaLNO~fDEEi5OabzFK|7f-9y}rZI+;3Bu9Id;vc5epmAK%
zz{wEnTC7JZN~c~40E0ZrLEG2evU^6~Q9~rk6_+_w5pxf$4tQl8w!yhIit<9Qih(4O
zp1;^34Jn|Y{W6cZtVfI%SRzSIm@VeS2|;xj3lF7R$2mv6-K;S{daq`|A(U`kfUm?E
zUaiuJ10B~9ax6kLBZ=Yq?n&&dqyj?Ub{kJAgh&lcPPZrK;tSxA$DcU;<eNb>ulY)h
z5?0+c1#E~&d%=gFjRg`yy#oW;Sy@2*RtLoJ4?QSQ!mMsqsyfJplnBtKJBtzW#4~5M
z6KOufQ?uGRU)AS1B*9D%4RRlaLy}b@9d*mIYX^UJaPXO~{Y<BwxUOY&PnN?huLEk3
zlqK-rG&n#}@fYK|PF*LZAT>4Xfs;OACMhyhFf1AfBI)?@2@Z1`RT<4^6@iQmBngzB
zVtqx2;_vw0i>zfDz>!~|LuQm(lga{!-@&es>qv}M$l<iQO%_96X*g;|63|1iEyQnR
z<AdzTQ-`kcyo-`n>@5k>FF<<WIDeYLZ|Uk3PepkEzRC!w8rlIkHM!VpHYdf4#bh0S
zPFu?G1_6N^p>aDq+e`Sr2m(rF(rsA;3Q)>Q<x_;Vh2|$MN-_}bx|o7fsc`@*RxNY;
z(C$96&PaA;%p*R92gbpubXr6J1|Gia>2Qb6i;0!w#+^HLJ+atp$#4%Utp-JvJKhrb
zk9bzY<H*UlE`amVz=j=ey+{8pD{6sh0X$2}oKYmopzc<siM1LF1I;^<W(*e^8nonk
zNvGoUGj9m>uS)n4eY>?>Z!fp$v7$zI)tSnY9^r^WvjNW4Ni!peqYFa-VIGHcw{uSC
z2vOOb(-jk$z+G_c3q9E(8d^hP>8H>En$B|I(2E?`*=~_EBU-`@)0It`2?e>LN~}y(
zC6Yd>lw*j7ETV(Z!$iu|SNFcQzAP5vKwL<&TPYNjJly3gm9XcGsEWm<j0l(j(t`<y
zNnk`yUQ%2o(-9EMl|T_7Nv4{ZIjSa42+Slh9QE@oQxpM2<Cm)-!UpsYY#qvC(5hJ1
zJBS58pyzLNsZf?LyvJ;yMWz=Un%1+d>49~~M4&W6JVn#b7>eP}4JD?1-b$PC43xjI
zMv!2~>*>UJXp(73gRev?bajW_mgqORI^=GMN$7S+Bwa%!B#N#<U`zqkxeOXW&sa@j
zaI@p~;D^GVnvhA2r<@!`_pI&x8P53-$<}>VOp`j_kxn$yQPLMlBX{aq;Y2$_Gsx&P
za+^?z)5tv=nr9DW9+P?Oi$S(y{X)qi{{i*a%_d~i#6)we)6K7)>gLxf-JLpthZ=Kl
zDx3yv@7YMOSM0SWp3!PY0KKg*HPO%Z3KCsu8g`+nt!&4X*O{0&PhxwSX-x7CHFcF|
z5<5@|(NNdML)VzbY%GDYZaCqJQ2`((P@W!C4?ByLk~n4XXr}?K1WrOsAMC8a&N03n
zd2wW3q?-J*dh%a`$v@uRJ=>jr0mLv{sc+dQ`ip3yPp6yc{j=k)8cLk))lev8y_q*t
zm&=4+S@3sLcV)W2(<9|AG|Z_xA_Ggssps&Jh88u-?moicmeCb_m7wirE*iQ#+CM#_
znWCti7XBUsNSB5w0XgmA``@H*Za#efn<ID}pn_>1<<QGkXY}w49xow0TB9q3@km}+
z5)-2_@KX3}a-RNdCdDm*p3hp#+%aYmd)<h^j=n1Wz|eUVmX*g0+?tI_%NfxUG4k>r
z5(6nOXFy);S~Dmy@1>$yCFWftFmcU=m(l2dWpo8CF~2yXXrjb$Ljw}CC56OTd?s~X
zl78lTVX67k5u+F_H80N~HORR<#CnKI5b`Z2myVI9FJml9n$CkX#TyfYlJ!-pmQ}L;
zaRhFzWW9<IdU$jNEm?mvqG+OIaYF-=b!7_4ipR=I*;q8f61VB>aZ@_{WJZZgFz#SB
z#z|aa=@^Nd#8@1Oi?2E;aZjacStU-4z|EDopCW|L8(l$5+!IC=O_VrpD3`>=W0g(f
z5^01b?z$198?EDBYb7q(L;wRco)_^94y~Ab_dJbun1M+encC@St0<Qv?eg4Q29B@D
zo@PYv_OE*ugd>&%A=3pm7e_iJn;>xcAdXIB*on{ZVxx3a=0BkBHqvK5$b=2~3qhMR
zD1?q)Gh{x<)F93p`6PjE^_!^T;aLx|(dV28=sofU*aq;A*o+6+NP~*<$V$KYI%GS@
znCl?hcyy)%94;WMh2{qR9VZLJk`82Qh9Z2K<@!#SY03OhWOJG*H>vM)nI_E-MK-C4
za+5mX)--8;D6&aSl$%_eyat(=JS?jL9{S65xhqo#OcRU<{mTTI8cvY1lSj#5h5oF9
zGh*@?WNu%Rr1&Gc!oRk;3^H|ZFp~k|5pagcxd3uU-44rQa8%_mSlbK+puP_I3uMGb
zptBC-&t6be?gBZlO+o-nv&@+bc7(D%!4Es^0#_!1H^LoBzd^<nM*%t(wGGAKFVGR3
zGheP+84q72g@`F-uIq<Xk^MDOzJg3Jm^N4?sTegGw*q!uzwWsTGMJSa&-FJ9OUjv-
zI*ry3h+#=WqAfl%xy%nmT3ni_oJe`|5oDUY8+IiE#W>U3U{)?>1BcwX2h}o)lp_vJ
zu$BDH$%z=7gJ8o*U6X`cndE)LNL|A;TN_5IO49ZSF;a(zn~r0m4(1oY8rrT_7R&;g
zHM>BjS<X$d`i9A7n#A9SWfsWP!iFihVG3qUPnAi&HcUafDCo@HBqOa*Kk{%>@Tm8;
zZP=>Vs%3Ddgj~41To{+mhQBgHVklb6mFrNa|J*PIA6cd#V#2az1jsbe)Rhta0I0be
zPoB~Y*#I)PIgks08q}BlW4*KbW1@o=)}*~;<y<mX@$2&1qM;IT(yF^q>LwiS`+*pa
z#`9(YfP*c3D|r2K0I17iCP%;#&HzvnN8tWHH(K!Re@Sx<?*2={NBZVJ%|8x5RX5;c
z=O7g@m&?Z4g@y=4rlQ-6TzAw;97d%R7?ktf_-Dm9aNmDmUXz~SYmR$xyi8#&uv}C|
ziNxFf3gHP>dG^Y@gE*gr4ZG=|N#7!{Y1BP`$e_C0pY4`E4S}vdn>W0Ry5nC`*U{~j
z?V@k^$3d9$e*aqC?g!nY@^1eaH~R~{*H3Qyb-dNj^L5NS{c%#4cw5<>xP{;7r_mIC
zpFh*^Qr_n0ux$4N?~Wp(Y$esub+7*8;t9(j^7;OmHc(f`_C{_!RS<}rIqv&zj$W?M
z_vf&f+^X(_#w91P&GQ0h+s<4Q!Q<4b+ts0A&*s+E>nTq9dEDXAS8ne-mI9*P09<#8
zGihIra3J#$3S-VRQ(O!wh&ehX_MWo=b<(SOaT6U^*IY<TB|XJYaeuZGjPKvQEHYz;
z-rLky8Xr)Td+$l$keS~{O%(qT5q^v71}g2Pr6#he;C=GL(5xga*_HBxq?GSVQp%xA
zD*Y=nIAPtnV6={tNMl=mT6(^XL&Dqv@_(6N6aFto&>K2I&64&eLht7py`dHK)t|SF
zD4KYciW`z_8oJo(hF-`Gh1vJ6N7CID$z*%!{+*AY&d049XAbsX%kgR98%0*b@yhWh
zSp-wB9G_(N!z_Fd%f``pJIN07XznDYH({AwufBye!$+A7sWd~(gx&k7O=JV7zQC2q
zDkK+G%=N9*QMQ>Hqp%A0enA@LD-`f{B?oO}qm64@pq=8<RyMNo%9c*?yXF_RFa&uP
zZV;0Hlqp*g?&7`|n{6aa2pDC$s+Fk;zNnQuoHkQaCV~Rv$rnnSsX5&S;L{hUj0~F}
zh6W2~YEF|RiDtGH`;=Fvz9dIY<coOC)VRHrB^xsrqzw9`z*1ky%G|bT51d%r0Fg{x
zi^jQ*e-$hFBGyrK4QnkgVXa3<LqQj?in)FzC)601uQFV{$|T$-N+*2rN?Oy-)^R$u
zO%!K{pQLJQ>-#uZLDm*!ll$8di*L9Aw;#y?Ve5TEo7|I7QQ8x$b8~7-OC6Ni_WEf`
zE9%*e(6^Ei`cK@kksjCnH5qo~@z$e+)a=>(Gan0NWCEuGh|`w+b){qA3d4W*9iFP6
zAR7?=+0;(jj45XC{x$;V3{>qc3}>)Pigqd&4R5J0N*9P60j7Ups%lz7Q<k<ajakA&
z_)p6P%i9T-&Evr`mqC;OMFbxI8tS-|o2-;92uwuy*X07?7YT%Cjt9bX=|taH^U3?2
zOga)Y87=on>%vqGS!qhsEvupY7Z8HNe||0?e~Ey+lYxxUK;g-hiPs7TyDa$2)WIB5
z14>qEn27M(xd!_yG}!$-*i;&&KB8!%H;@~WsHXA;#;L9kj@~k7lT6w$uh({YU=ECQ
z0BG?aUC;`{VUhyj|8y>4cn1l?tC_<wk{?bm+~1N#VFGA58oSc|B6U&9er8g3yi7&-
zznp8l@1*g*oyVI>_}?m_S%CF4{lH;f&-;t(lN~3D-Ulsu>(v7bIyWx--^&I1y9o5(
z&I)?6&Pdca%v~wX$+evvXK@<m1*tt;*%S{uN(MB-=9H~z#gMwZW!>Kq&xHTCxmfpZ
zV%=Xc>tggncxAjei+ZqdIE&-AsgF`Y<RE5;%yfkRom@lyRT}cQc*v<##J`LvnkcQ@
zki<5>v}SOZW|CKOmJUekbn4c$yk@9j*>~>aSYn?*e`MY;y_eYcSXAvTjFi|ctB?W2
z%4<K1Er|LWl&sY(GV>Cdxm?J+kB})bGN}Z6^N6B}g3S#{7UULeU%SxF=EVFk#F3pz
z#5KVIF~3BA$<VguZLYeO!FwcwZ_mZxUnd6dVy=x8{Yx?^YYm4SqqXNe>ZMfIxyadJ
zGbQ0K<r?<;Y1maBb}G5vH=<~wTysMb-~4i|&uWZpnIDRhYfW%auJxA;Z5z4HQ`a)M
zPn;G0D|0dU1H|B;V6GJ^*Lp}%xqdVCGP_(Ga(38EN%%jPYuLX<!~R(wb}G4k!-%4Z
za?K4%eDlk-J`^;vWqv41t~J3yxz=AYv~A=%PhHF4j}T{t|DjwA{%vCL?=ja3m1{ku
zs9b-JdYN6W4LLh(rX>77&o%51(y%|n!%ijF4~;0ADA(MO#5cEGzoGaO?o38X;`#Q#
zEV!-cp6V%5JYg$H|3wlc{Qt})NWV*h^c|Ltk@E-dFqh-9XT{y39gexR|NT?XF%zm7
z`W6@_E&S7|h0J@P-zQ)mjjAaRjZPj>G;xM;Ly`lzXIR}tQ5f|dikf(#*J($x*JheQ
zhWx;cnKz$OwybAF_KKFVml8*Xzcm+Q|9}`f$J`nz@t0<hcmsqSp*8WJMctH3Mm~CW
z;7m&RH{=@lhiKr}@xW898CQ=enkdoSkVH7QM8AmOG_g7HvZX)Ar)SPA;F?@8Amq;+
zvol)e$EIT?p-Cbjd_R{Ye3&F*k=Z+P3S6FX3WQN~6#aeFRXGjv)3g9EIpMz~7XTk6
z0A9oZq?!tcMifn)3fz!HI`>p~!&-)=Wtt_CptON`^8B^ysh&b>*@P9YUm&Rx{@Zd1
z*T+b>-og?ya&~38*%F7oGrxX=IxFYbI8-eNOi=hA$OXbD2!#KiK}a>j-aDdb;tb=4
zB-(jr*xrXIuxqSL_esH(M@?wu+67jweOP57L6t>>RE`-?nL3;@lTtQ<J0h5Jk13cd
zH(I=eYqh*K#H}v+5-B0!|79*+^hwf1pJxRVqmaV^8hbyCu)~E$OJ)=)w>xDieXu~M
zcH<%X*3y=p&=hyczu!GAc6dQ!sfCPCfj}btMX%GrMNL(QbF);M)m{_H5L-+3H4Q|X
zw*pExO}jK0mns(w|B4&$y}+BBSgRSk*7LQ1*;>F{m4azDVH<1}^!(#;MJM_b2OCHl
zvw)iw^>*O3#KNkmbi3X%3PDgwELS@11C1KrI`)FOiKB_F^LxLxF-r?#=fn5Eq0;NN
zAHM&=8G*kq*7V<M?Mlnj{|Kt>Zdd;UkG|Uv-Ck$O3-qVp-VPO;kTclQMpjSKYBfq}
z0EvUhX?bj}LJGSFJ;<PLo)<FwBQUg`xXo|MmEd1;tptBeE5X-zB}iqJepxOWq0qG|
zIRkQDsz_@AM6_3b{o0&gpSJAEzUlG2vY$kMWOma28S(QtR88rmjpOIF85|tOgo?4X
zoUPcCXfSdsRs?km784f!`MJRQ41slSR<M#cRf$_No@LVBO0GQ+LYQ1Mu_3<LA#c4T
z*LE6;yLx^51YNyO{oGR~)0~#kfybUoWG7Y|ftwv$uDANv3{O2}>W*m_(c4G*nI~L(
zO`F+2(-=XOuGFTv`H=bTE>I=f8yC<kt@sp(^3ac@E6ZD<nfOZ~gd6wIE6pDEo8#mP
z&;bb~&`0zAb1crVw>+4foIN!D06NX{O&eF)S5}%0NKM3zOcuEgPMk5B7G~JM(Ly4e
z9E?F`wHav;5@*b)T%IT);(bxFV@HMWM&Q4-^4}=hGVK=L@(WgAH!L==x0-6gGd0bd
z_c1s7)J6dtej-zVFNa@t7-QE(-AKFh;<gIf5x7@3ag{x#jmdkzsc_2CO{TVXxSqh&
z?7o<<v)`U&U!XHc?cyB)GDr#dIHT9urS&>^nSFFw>@|q8yQdp!qnq2>pQUZe&D^Px
z-rD{%Gq5Vo8jozW{T1r6+_{ZS+HTvJs_;7zJcha;3?82+JX(y$&<Z*s+<pmN$Y=2q
zWBP|8DeSMQw;Y*_HA7#@wA~^1Z!n+6>yVxfh0(K2dlhj@_^-&tv_B`Ny-afAZs+17
zrYWQ=eCI1mP>_KwD!6Z=Zc4$;N6!wNN#O)L*TBC(1AikAJe9P*enip4y+1c35gw{n
zhE9tkybF#nvHzn-wm*6@9qDdZQT#B;pz!}Nmni-viQ?~$kT1tO6sI_!o6<{>NiFI`
z7_NPgGWCa=;wej8AipSq{6a1uzeGTOj)9C>k;BR?%e_2}gIyQ=f1(abHI|i<9V`<O
z{?~I2_OEHMU**B3QegjgMA1YA#tlhSb1SePl*}V%J%Q)>W9W~}hX8*=96J?NQ`}a~
zBvgZ$N1jR@%psnk%p*)h_!s3G?BCL0CwZ``#Pj?SMH9u78<MEz7SD~$Bej72#Z$qw
z>#eifHvicq1;W26moPj`!tgBSaExLO2eyozdE^DuMJfAP?tGKG+!-%Z5&k{7#{2g)
z-skgpQwjfbB{ZR}(0b+lV5m&|i62<>)~g40LFC4T-^&I1KM?5mW(7T2XC!JI=B||H
z<k}<bwI8_5BX1<03I7ebSoe>_y2H%682u17+;SufiHP_+sgF`Y<RE6HmFWoo-MNPR
zWg7B3c*v<##4n8~nkcQ@ki<5(wBD8BoGjB0Lnq2`cNiJch$t>*sA0MHX=0o3AIinO
zuMqeCm{~GXV6&KV8V_fu@psh0?4}%1vV&zJ!vBX{gZ&x}_HTKxsYLa!M-)vIRc=V4
znp;$VNOOryJdvgOWcnlX#^j%f!N;R&ij7IG<R1|Qd@l7;igYe=R<4<n@Sl`x*k7k%
zKY@pxO0FL_qG+OAb3+o}{Bo@`P8dJ5`Jt$s3z{Ii*IbQ!iT;wIZSAAWRo623TH>tm
zug=Bbe<226#atVyrLzd4h9lw@^><S*v&*$1XNS#{gnvh_VSkf`{Tv>4D!JY@qG+OA
zb3+o}{Bmv1?sZ~X^FvW`tqBgwwf<t{+We5%wvlU7G=0CF1^I=<S>Yeb#o%udgS*VN
zLgiWyDJs{mqF!c~YeUY;HB%D)Pv#o-w`tg~;9;kd>z^1=G*Pa(A&GBpx!%Yn(qGG5
zBJU#!68?L03DUojAiayFW90lPCf7&A0QxX>TTZBA=-U~_r18#EE?~Y(!2BTtlWK<j
z-iV@!GmIOO9LPPxZY(O~E~@VS(Q>D_HY|sjyzsxAi$niT9Qykau#fOP{g5SLIrdyu
z75|e9@BbjYzsGowR25m`87NAOlifsx?@a2gR1Nv)SwUk`c#DE4X5JHij|P4Qs;0cL
za_WepiK>7bk_hKk1sh3NAWyiP8w#~{tj#M(1cd+eT$1o#Bng)=dq+-z{0UPcE9A}8
zRXGjv)3j58$q9dFE&#qy0Nls`q*@i9HKJ(ZRN#gr(z&O?MiQ2GOD0A_r0Du2VY!#2
z3NLiz60ZLt;o8p<Gjeu~lP)DPzkZB5E9ciZRP797g2I1kE)b4A4j|mmAf%dM_l+o;
zIK#LhiFV!@wvmKI--y=PBZl74ui*B+iqM}!%=%g<btvdMKoOS#Hj=RLdzj7MatjxC
z=pvZ*ovn2emUoa6!mBa4bkU<o7rmVoOpHPf$Es{(>&T=Fj`D0BCJ1JOtv^U?-AKY>
za+suAv4_o4n<(Xxk%Z;<<Vx_tTr0r|v=aO#uLP;A(%+DaMktDJ{Su-W?X^CMQPk#P
zUB+j38K0N@{A@0MP7psI8jqhvq)CZv#lA{|kz27Ms9Ug@Fkaiu1=cA9)|az_mAt7+
z+>-GullE3}?E#N=a?!+w_<o|iubEuiX(%oU%WrR@BrIL;P`6aVp>gyUDt*8c@MQAh
z`gx{EIMTXYy}jafkcAIk3=lZbu2vSz=``)7s9dkrxVJ|c(JGxvwM%Y4PFXchngwnM
z4W_(CBt)jcfhy77NOn@`HM^qYAzv8MDiR)-ao9c5*6H*XhS}<20^T{fG5ML(8f+vx
z5fwElGh?SibHE-Q&0rX0en^ZJ$=sYKX{4cCSqREC??8h!f@xaG20lX9bUk596xWx;
zHqg1XOP`$?vcaSsMI8%coaU6yAW!PI+U~Ww0!YWaR*_LLng&#3CMkV<gZgv)LjpP4
z)&yy-*+_PhZJ!kJY_5lIvmo#0MzRz2y7T6gwj4VyBdJbK)^)X4^LR4f?4c_sIywJ5
z*!F49-gTmrb5W_cfa9z4p#_GSn6|OeMPbboUAHqstzeVZ<5b!RoWorj=@0EcBV(GA
zh{YQXhS*L$mRqB7Dcfxk6BYh5BWMiW;u|zhCp4~PG=^5t*&HsHz=eDQ&HPq<Caas9
zk)mtwlk_jo+q#zX`~)ly_7eEQzcUvP&LAG#E`c4Dvt&MlKw7*kTz-SPC`B+kEjwT)
zgM;2&13r@myu<@eC3LkBMH9Ek+>k_esB#!4-9IRqC|*OX68@`maqKMO*ejV0F-kLh
zp)t$-u$W8~KTjQ$0-BYQ6;CFDW3OC;eJl<3=XkKG#PdxfiYAIDHzZLVLp;-YAu?%N
z?BoaZ?1ib^9a^cTENwaV31XG-KbDJQk0XwKh}lrAcn)Tw_yTn>hj@lEQ7{qVe=*l!
zA5Vk*a~^Ce@%-$FqKV?k4M|jUi|0lrijkQpj(HMG{`YeU!xKmt{*yTzBl+Re{joDq
zJcfEIWq*uJ6ih|<XA!ZqTM1*Yo=f9B9aU3?@t(p(!wb}U<$++R%rTZfWzk!&9$59t
zjSIh&3-t2{^oz2Bo~$zxH4bxEN^^2;=SU-NH}V6QiQ-n`necDP#kwaE>uzG!#ps9d
zyvUI}A|m4ZsE<-X<RE6HmFWn7A=i-4ry<|NLr%3m-Zi3VqO@{D65HI;`h%E>;^o9P
zWZ}%kJwe=ifLSt9V6*HGVlq*@fjXGolnZB~U?Rx8nQO3<G}xcv!KM<`*N!NfD5~6$
zL^Zdl{*Y#(_<iCm@>%9$@CC%+-(s$fl;$iq_I2WTx!tlh#zWLgDbl&fSryEbg#YPW
z!@iJ){V5)HD!Kln5k(W_nj4b%=9g=IC~D5A%nw6OA2aQzHNk;Rb*^j@n!%cChJITQ
zyZ>F{tnmLW7lSV%27i;eR;XO-Aw}i-<R|BnYeUY;HB%D)1QE=<`<S9(pNOg{cOS=%
zD4HnO+>pdKzg+9ncOxI>hoa<K6C9Ll{Ut-&lIQdNOY+pU4BkSV75;2422T@%r<rSo
z%C#O+RIab4US`+VhMXNXQxg8QxrY5T8ul}I*s1jOl_QEK$~8A6@y#vQ8<{B9G!w-V
zNs#cpT!J)1f>dGY7&(86$rQn}#~MI~sM~Tv6+_?7FeWYh7v=(Hj(|D9z@(aC!HA-X
zGmIOO9LPVz)-oO{li?JJh8kFB*78EE5~H<j!V1^VkyHu)&AEhY3klbQEHNWz-8i>n
zBXjM&)LA*##-VCKV1mMbUoH?XCJ^4kAf%dM?;KGyafWe267AeGthhWZ5uSX;@}#&n
zEQgpp-XzGyp{>NBKN|u22=DF>S+19_6VSNwkPGii2=6a5-XqmQzT7Mk;rk!zrc?;|
z=vhHyQo=v>d{E51O}mT+{@*<CRI1=VM-)v|1>BHCIJYX;$n`Qj*ULpD0>Xc4E=l+i
zk_3UODKf$4&&v{-22ZE1%4v|Frkx5*PWV^k0^o82;4%gv)l}FzqG;k&;D#j9d8fig
zCW=hglq2!l8<{A?E>0RnHyQ5jRa)If6R)n~l~ue<%Gb<lm2QP{cBFoiGSgPYTsMe$
zqTWqDyf(=ql)hOT;#L>kLrO^aFUX~ft{`2smlaHmJra&p*+^NCNf!*e<G#7l>$W$~
zh|P;N`rlf+((>ppLABlO(qHh#v-|<q_?EnYzunvEZk{M0YfQx9xxv;SB(`p3qR4i`
zYS=7&q-CNA<VtXFu9e^_S_zhUB}iqJ`f||--8xy9Obubn{s%b|#j7MgUy+NS*APEn
zHXc8V$Q2Q0m;ZA#7`YKEg1R+>n6U7FJ{MTm5m;}|3Rd!_DsfB3vrO7s$+ZXkZOKIw
z8{$i3@=9HDZKt7_OcecIsRaAn>o%6XQd}wu{c((R6o!ONNilGsuq9(RB!Tdw@u#>n
zqyaSFKUueKLooP8<!7_VkiJp*5K9kkR9=Ad_2`XC-H=AgHkhtBq?72oZnvRaHL=+{
zNU;ByyB1^Lhht5%%tu-_&7dN@b8fbMi#nZswkJ`yvz-YG|JxBzhOS%&l<NtUZ!joB
zE9fg||2(2-;w0pTB>F?yr5lQygw0Z^-Klw<*cr%Qv{2>91|#c7_~-77r&G5cH|sW;
z+Iq^Jz%5$w=lOQ72#fY`rtHTP^5EY&sKhszMa+B);bL3sk1neyXP;>|kWih)of<jQ
zo|)msD9wdfHaXMm3Ib40v$09rImT3R6FCca%pALk;CMR2F`S(h$<9kh6iu9C+>pdQ
z?;P8^d>o}*s$#8MYIjy+XPW+)Fxeo3Q`ffJO|R0L7SC!`7Rb-l?uc3=kbfsO8X9)O
zAty$+y;9y^R^J+^22zbyciM5CIUmV)2G!dLR+^PnuO<%Gy%w_lth77bMr#S=a3!!D
zRF+qoUO8yI&?|S_<!arl?k@+_P_^BvH7N6wX=M*OhB}Sq-m;MO1l2<;i|vl-bE8^m
z3Zj7VD++<A(08Kk)zEO5epx1vDsyh3GH08jCKsFS3Wi3F)*DN8FF>jy$~!|2LX~n#
z=5Zw_Ar_cQ;B{qxy7fv|G^F#8@}snZ2DBm&K;j+AIPPP2b;Uzxs>_UH97_;`Vp)Qu
zR@Agiw?c`j5T4kr*2NZ4_bLZg(aA0+zXBGbva-@?11Pj67CRo&W3{TQvMS{^L6ZdU
zBD&S8dd^_s+ibMR?TJCla}{c`UI{RKlU3`wTXxSN$Ic>WZ<?RG;xa|C<28ZL0k7<J
zI_QIiFrMl{58UV`lAXU;ktHdi#4tR{vL2<DJYtVb3dKpkh!s2r9zwU?@q&80SrY^b
zFk{iNfDkebV$8y-<;^NPeTi?#Yva}AVqrB{A2yzz9i=!^Q-1^j&U_ZP+Q7!s#Y!c;
z;GC>~va0~EISW~|nzr%oVI`Gd<LQP>7mX&3webduLthg8>?_aBq-vkfU5i<H!am&o
zb<Wa5(iAsCMky_ctqt(HpSmrVpF+qR;C!Ym{2z<pGIT{TOVCcj<wqHpp%t|C^&$yj
z$fL2dNbMZO?e!M7V%xC*auWzd$_3yp1mNq&1Mt9+S&yPnzsEv-q<UnT!kxjxV!4>I
zi<t7R@tE?;qi3y-GU}t2QAblRE%Ug8!vA<K=G{un`|x<oTUl@0Cd#5OSr)B-Uo0cI
z8^ZtVT#UGl81a|mG2+&OExstu|7vkAyeSJKw}LxIxnO(_!T8PbVBAA67H#H6v7C5{
zF;Uj0Jqsu|CHzyU#mr%Hw-cZzqiV|AOmQ~Lj}xFrgMn}Dd;cjG|D&RNmR;O4;a`x8
zUAu{0=VxVCvY#T+%fYs+wDFT`4|nJ9tsP5V4%$?go0SExnc!2T0zwtgdzl=r#Sod0
z!^7=Cxz^~cRJwKAitO%o;KG;|JFt7KcHxK-{6#qebeFJ!4H0NB_$bX=88{1epz}NB
z;6Mof&;tP#cuAU-s)uMJ+KKDEwkiO!5lfXw-b8*F+708Ivv-$%l7KhBObZQxtRls_
z$91AUJtyjtQ1~F@j3_Os>E`>VxTr)nyEkVMZoS#Pp2ZrQ-OWHE=0IaWNNl6&t6=(2
zJFcP}D&J;vw})olwcN$go8If4O>de#FF~ofiQo{OEIqoY)T!rk-&<4*RxdGe;rkJE
zhVEnyI(HH}i;T|D3VQ2Xl|Y8JzRz$4D*HT*g7p#$*0_`{NK91t599*rxdhUE<AHR0
z2&C+~C`J=Sfa|YW6Z30A+A`;j#1-McAs2J@5_1lZ$DHfO)ab50x3)~bP_pxdk+Z<R
zPXhnmT);n{fPYt3;FFbhqDjL#N^0=r+QUtn{s-amZFl76q1|#k$AZoc$Up6T7I5D$
zHk$I7B*TgT{SQiTbT1`RQ(kE-l-EiBG)kHS3YZ=^J*oEK$R`K5>27qQKk^3?Nnd?>
zggbJ;^ZiG=AQ-V_xBOpZky&l2e3qpZmdd-0rSgd2zZv=?t>e%Tgn4$W?FFP<9!jrV
zVge%eehCN0rBbJT5GR^A8VkCOYQQt!o@GdDm5!V|K8oF<PBa8+;ha*}GSiY@!odze
zomtA$Kp2X5@FO_a(V3MpfTxuu979_jUs4m2fS&Y{di=`?@rT9j6@HwD6<Cxk_8E9b
z0f&dsM`iiyDeYAB=IOQ$*{fYXZwpquYGZMgN3Ck;*V(2f7kka-q<FEItmDsVNfmGZ
zfYgmRLhbBqFX8_pqn10KN)tz-Ek2dh<Zzyeqg*-~B`q24vY5gXLX87Zf9kw?AKKi<
zhq>5V1=xw=g`rwxP}B5G2aPrG@D1JKz1STA{sF#{dcSe!PF+VV_F8BH$J$g{RqS|6
zkPfedQ(1aULzA#KQgi`4X&wliTH=Tsq_^Iqf0q?$@7n@cmW(+wOO!L+ok|mj?KtJ7
zm53x3T)?p_XvstGN~^{{V==P7vX*qWkGt1E+GQi*t>u}6?P!gCT6ntIogORg|B2{=
z;ad(Bzw<q<w67t~jD~c`)V1B|7eEXeiu#saxs^$|eV2zda!b1R6lgIyPpn+sQJ}hs
zyC;=H*{p@C0nMXM(d1M!B{-FeQ8ELw{`qSs9eP%;WfR7>@t-ou+rabbkIeq?3eBl=
zQ8o6ma3r<?kv(O(;PZk(IwiZvOK@y(!&d6Ibn+BK-y*}Lg@0)-WU7SBJR>t)->Lw+
zSqWmu#q*rP?T9FPH(B(aH-2Le-~T2uTOPju%`jZ>59ks6ecI}OpW74uvvWaOBS>!;
z3(~!(9}96g%G6sf<+g^Z?bSyYKuYz__Z#chFDtR@*(juYAu=)QZ<>BUJydl9TjhFf
zI1X6YUb30DKT>z7+NuAnYE8vxQ{?6lW8XG~80}GIW5zMmgJj&|9!>Cjc!H0#(E3}m
zZ#<&f?-hiYTs!hmvnvG?68@_)abRbCvVKAR{9Bf2)Gy~z4`rD?40x#oD6~@CSg4)j
zI8$#Zh_II1!suD>e}PaJ{@ZeaUnlV2k`?@9aZYrnGMA-nC)ak|snQ-uE}Ga78y?am
zORnuS^!ONYYOec++KQb25HV8D%JuDs6)EllGCAiGDW62@Q|U!YG9Z~(iJWHRTW)BR
zYdf5d@z(V}2_JC1v9(-pFSnPxme=Se+^?uNW&^ljC~&+>*8<>6>NE~z3_NgM^$~*7
z3FCAFHypYLJ=~t4bxB2I^A!T^%!gA;AMV55G^fl2voq*FW4xhBdSMsL*>NPbYC9te
zq+K+5eg2Ou(xiRo|Hg6z-+64*eFQ_r6x(j5T98_5&D{hJ6)UrB?<ax(CU-Pu*$!V~
zeEHxWF!4^#noEnLbk4cJD4nCGi&h_T?}YyZ>SX3U`ZBTSv8b9dX6?)oMHBTAHzeg?
zsNiTrCQcvyVyPrutq2CfY$u;FdC`$?MIIt3kGDKKRHt_2)22!sL8K~?=bI{JR8Y>D
z09^t~qB@{!ZY{XmamwesVQpw7^!Oz7tWscQbafU{(#q&6mJBGPOW+gE$_d+neAOYu
z)V?eKL#529rxwZo<=pj=>go0j>M4t?IGW}j8iX`&)}l45G`Jz*?~8yobdO;`TOrV1
zz@QDSpy%@QMifm{8r+cN&QNyhhNRL+E}GcTgO9?9o_98>!Q|SGwRF*0?A3I)S$n^F
z9Gz|UT0ytdt0MK2S1Y&WS)dc!5I_$FD->UVTc)h2DD9kEi6bOQGwJuEBh!h@8h#d8
zMnrgY)W!z}RfJHM0}rI>&SB_aX16*_#D!B-@33j4s?&y@YU1!s)ns~n$>bpJF7s8)
zoj8jll_w7>gK43E;9I4#7*5}CxwYdhw-3M!<g2YVW`nw@Ze!Ie9j3`gg7!R*uczW0
zP8&TG(A1!(y`l6>A7ki+J2r%re)8B=Tk<zPe$=O#8RkE6Nm8IA>wq!UU3FWb-{g^V
z&PJGkY=cC`4QUIB9i3uoi&%$88qtY3-V=?kC;=zFl1J#ao;~VtkVN*FJUVvfUaH%;
zIzpHPaLkA@BCW|yObo2@Hx@Pb55Ml#n~vfCXeEe*<vc#A6}`rv?dlS(fb8<h>-%f7
zXnnoD|1VbJSl{Ozg_KH}+17K^g<htXv#;#`uf6Mym7}WSeQjUc_uBW`J}C01g`v>W
zKHk4lNZ?`d56~2!SqMcbDbHngclOOpcXyVZ*}nJWZ)u8c7-I;Vn5d9wh+nD_QW3=v
zA_<8fG-{9pKN#Z|HHv)DXh;y^@0>e#?(B4D|5vK<L#J==%)R&A-#z!-bMHO(oCj%=
zdWwl|FtgX6J{{6llI$k2+Hla+%iI1++u-uO6b`$jXzg0o_E*x%(n9*Wm9yi4Jgip^
zV^X%!$#+v}6qT{#nj|t=!ggGNlCNit_-oqa7?H7lvtXUfE643>;xRQ+c$~f*WBlgI
zR$!ZPMvl`fBI8s_|0pA?%KVm}Vkl9$osUA7M&S$XjY5A86Kub<7=dfJ;bXr=<O|KZ
zuhl4(nrlEL=@?E;J1tbHtAx{=j8oGLQq%pVfHbOr`l<dZZE*zOQ3&?CCIuo_qS^0u
z1>#Wx@z1@1IM+utHICq_s}&FSvl;~-*Pz*hR8hx!L5l?60J65Z7u1Lc_ltH(K`ada
z>a~3FuDOCANA6OET)%2ipmE`vy|pXQmI$<qdjoA=%wkPu#*U}0$h^o{Mr{(WXi=R2
zf5vb5or3TN!cMdIb_L-wK{(A2Hqg}Sw}?9lj1yaf#d&H!5i4edUP@IUaDkeApeqm_
zA`ot45ZammKGovW#H|jlNTA);R!5^zeprt0Bt@%Zer=*=UEaJh$*rwEQ~gw=4$|x+
zUG>w$)K3cxeoJP(slyF}7zmMl!AFT!!K*zKsvzL<H2d+cAb6A@c$gt*i&d9fe45Cr
zT#>-K16ED`G_fMqzJ!*VoIA4p_not~uS01Vk9EBN((yQ<9TvF@5#4=>U9A2eyqP`R
zV9!N(mu>$_yqF5>S7KdV%0AP{z>zyBFYq|P4oaitR<vVVtjy{@#ZaVjquO3m77kY&
zkI^VT%_KDtWcB+ae!s3rvkX&<vR@J9Lag<x1|{RTa4f1~=rk2sAv(thonJ6IO*6>#
z*v|xzb?dQSuS&<j`jY~y*OC=TTqqVzU4irjf%J#oKsskPq(d${CpV=7u00pjtIk=q
zgB6tl`mf{F+;Qrh4|?mIJ9^wQk8PJLg{E&8r=|4h51~r%+LsCJFX;;V6NLR1WNmXL
zEu=@X+)h+nSWF2ao}BwE#U=UE#EN(yPwb{A=Z;h)4oH(fO|0l4I*A?R<JIKck&0I0
z)Aj~OVwKBO<r`z7oah0tzcDx@opi)OZcR5YoUfS|&DX+LP{R1WCth8QSC`J$K%9BC
zshK+kS!~98U?ohccSv(>Z0=&x+hvZ+1b_UXyx59+jJFwOqePBqmo;39yptS=)8Xsq
z%9!{KSFU$D$)ZF`POx>RBevcRe9~bKZqQS!&>$sZj~sN0MsP<T$J&NY=ilyh<hm~T
z8_op{!&$Ph+!MaB;kkFww6bROSh_NdbLlF#7>CIgoD7wWMLrrAwtUc{{-bp&1S<l;
za)?LDydu?NoQG<~mq{>4D4Vmyi0Jsc*zbWMdp(w_$T}{_I@S?c)Ul6-Ik;n=uJ72>
z_uwE~bW<=EDq0nh;NWFiTnZ@YFbxp?hJ&zh<%)6Ca;h%(mX^`UB{O#WU|s;87^Y1b
zx0-R;1+&NB(0yR^ww{6Iz%+bYIg8Wbg<kd?Es76J3XGhE+rn^{U2;m372Lvgih{t9
zG5)J)Rz3K%=)tdq{m}_yJwuEoyRvR*et$ns{w-Lg=<sYkq3I#yVh0wzMS#L&Lq`|5
zSx6o-nOk(Ka1tH3gXV#mcM9kk0$y|}uR_EK4Xia(Zn_(7!IO2~s)XF}z%Bb8KtVc<
ze0T#F2D-x`vxq{GO65v>-5LK&=Lz*nGdO=pLXSTiW0uI3pw$Gp6dNmV*{52-XN%vC
z<!rjj;R``j7dUIi-`##UhTPprrUvb5stSbC^{a`4VDs%uQ^ay1i_S`98oUXKwtqq(
zY4&R!VI{Bbd_6|Zd^p=*!_1!EqwUiU&rE20CbaA3#i&YOM`?Q}wCg9d8=y{zwQ<|u
zhm>;{|C~E4xns?OSu{(hOvhhSUiM6<R5KrZgw>b(gWE^X#+sle{LuhVA%H_P<H;dG
z_U{CgzwHXjZ^h_PP#$doC1E?E?VZ=I(n=1zjUaRZe0<O(6qQYweGv13CNvgL26os&
zxfP$)xI)=8A64}suH4ao>A9nyuLoESH-CgD|H)wTk0`+6h1B`ZQh!4&CtxMgD<Z{?
zhpM4on3Q^9c6kzWx~R~}Pm0OKjno;<6>5`0O%^%|hPcYrL?37MwTV7{!QC<{2iZId
zb57ak4c~<wVsF~XGGmnfYkSd7irD%v2P<Ny>lLvt&_oDRNb;;HRKf{uk?y{f==V_s
zuE5kTVu^6T+-w!r07VK0VtGP=Myw5|iqIm#iUkXeGR!Su3J-hBZ~&j{Y7|bF3!Juw
zt?oqK`7ZIR1gs7B0*C&E-Fc_#m8)JFwlKJ#r0s&8F0>iAsu_ouP)LA93zoRB#tq~H
zqG!NjlA>p130x8xq5!hmr2_C@0Qi(Jq?CtYwA67*_?OoXL%;F7<q1GvEW@;Q0%o=q
z3!Y`ZNMTGSv^@NZ&Cg2H&%5~JS)?M+iU`qCf%}`BaGR5Ns)$JgYKqi#<PFt@ItNXw
z0P9@wH9~t-JY3YuQCMa&dAwCrJF6YEidI4A21$}KRm5*$b6u$FhNmOEb1v#&$*pEh
zQVJ_@z=J4qsEoIBh}|-J21@|)jxzz(GG{Dl1xMV+K;WF<W&{Ou!D~chk;EK~G<{aP
zlY4^{f7@l>KMEIa6~r~F0(w^73f%(j2VS#U3U|yvYtS7i0iRVXXg2Gx3@W35P&@2c
zNUtpO;Ef)FU(}cz<RDLat@wAZ;NLx6@$U=7zmv$?kaz2jybrw%*6p1^$HO}rU9so5
z)?em4k63eD>ya_Xwf?c?CwuK_$-uoAq*(ocVD<f7vHFX|>Yr|p)qSvf4^p(hOnTn1
zXpaoqPxid2>)w%k*+U76A?F1{9`1@E&k#f2o5YZ@gU`7>iah~AxQ4PzM7~(z^|cy>
z6W5^G<*smgiEt_~PRVP?$WFW^AgwzBee(QJK;p=sP{^Mz6sk^R;^6e7t4{j?b=vXX
zI_=}V%!hHPzoDS+ty~2V7YWB4T><nm0ra)r0J^ES`Cgry*k=?vJrt^-;qo;5rLLg)
zAwlzEr_iWHy*wL}2Vsc^ZY)`Z1WwK!ku3MLpeeB;7WG2+Xse=6bXyTCIYOUrtD^B(
z2i0l({&N)F5&kr=?m{Hc1*`$fu81p2i`Dy_DlhwkfS=2}EF`lqtkv)X%fTbYmD;@)
z&dl^M#3NQ^v?QhFA`*j;p-9{_GlLyS%0@d0k+m*J$cS@CNr)y0x$^9*Z<i#}D`)*C
zUnu7N8-ar0&M|D7PCnt@?~jOi-{JmiV9r#J@3Hd(LL~?M$3JR{WJi7UgeZPkdkyo$
zApO_&PMX|(|1t5y0J63?nw17zA2RDC^ID>e;fe&~bv5*pGbL8Zy9a9b%M7=}4_%A}
zRImw%gM?tCa7v`?6936Nq5B@%Ubh9ZeOB8pwuZJpvU|9PLV~TX9!rVtll52>ZL*<=
zfW`lhQKO!h7=@#c4;HR%F@9Q~AiYY%P_e3FcK-swV%UP6#7=Cm#jfmY)NAZXs@F~S
z^l8IfmA}i}=C87HduoPMOZ;`gc&LcOin`wsyPZ|aZf9<_kCBi^sA`;@=W25U{w2l|
zd?|Q{c_&lTndNi|+vxDbXdfU^wZZj2*6=GUhi}Yn_#jHCBu{Eh{u&oEdKMNRSCJ*r
zfIph8BJ4!TO9$yGe}haxJPf0j^4GzFf=nXZn!h>cWXV3moyu1nL~AbPYW|wf>xC)|
zhn}egCy={S{t)@|f+KUMg8V~lSmYt_IDV`b)ud7O5&RquepV|5{2K9`Y&xT7kI-9G
zHwe10x$2MQ9mm6ttr2+%v_@QDMasbv?U@sPqqOTzq0Ea#WOY&GWg-QR<T)ix#y;sR
z4&Ypnj2eRsVZw$$j1_PgQmD<X^oLD2wND2>2mQ^)k_D__PgQkQ>R`^uR2NX*=%QXJ
z0V{k_G4vu*hCDc(FsM<rlm4hxqB8>Yw?lRiHGin;<tJ~PbS?b7wf?0D>kYr~r5xh1
z0cRpL>%lfG5Ui?{K`y1{Z;QQ&6=8c|Ab*s@g-2+RxwqE8h-LOSQ5#$Ug&^O2K2Y;V
z3VLawsxKHoJZIGWl}4#XBM(75a_R8c4g2`OVGRdBCya)yTpCkB-dd`eYy45Yia7Kt
z$zKUZ_D6EnVj1p60>%TdoM3_H5MQ7`1#aXNpj&dO`&CleHL5u$y;LNY+Jv#<z;j77
zCvyo#*-;D5OqfMC!kq+%en&$Prk$u<D+h#mmA?UvK@0;5Y=C2Ia82-88Zl$gIN0l5
zM1P?Y%q#3SDsXv$E?-~K7p3cIV$sbss=zs=1u$X(=O$k5Gb?`ok3oO5Y?Rf&r{-*+
zlnnV@q2b|crstL2+3D%U#l<Ocq(0?T7N&E?(P@0?PS^Y`l!Hk@j<jbK(NP{cW*yQe
zcg$Q5WJfFcY^)keQPpgf)p&4{?M_*Sm*;9suUJ48L!O?&D9U+eZEl^v4Ln)InO878
zL%Ef9aUNyVPWhYM<&uYp@}{+57Vr=JySm^I>u+$2dd0&+1moHTP#5rT@iR>aJ^{4b
zveIvh7;iwCAw=#Y)iSCWg;4S=5BLi?a0=YxWUW#jJRk+b7>No9#`^Cz8CZqnFjkjQ
zmuVOtO52jf@z{~HQN)Q=TF>QRXh@>sq`%529j(C>&tE4*1jZ!T3+GcDlQ8Y+l?4ML
z2h6aUEYMIBBqdykA)25I$?T8SrIJkNWR#W<f2^Tlk)w2T8|*VS=&rw(UW&9`Vg}e|
zzp-Y;3j1|D%=gXr?CYSF+0*o}=#i(#_vmq&9^^O3{v$o?K|B`d@lAR>M~^WoX(K&u
zrpJx+c#<B+>G3K(UZKb9uwS)bqsPe+JWkN#u}ye9OpjOS#mn@#e+M4-(PQ0CJO=5p
zf*v1G+9x4@?0q!r`$N<$KEy*~MZ->VyHe)+DQ;4Vo0H<Eq_`O=ZbFL5Pci8!COgF>
zr<mLnlbT{OQ%qut$xAV5DJCn$B&C>~RMi{<0hl*;+PBmEx>Epqv-zHRj8Qc|6p-E!
zLRz4|7}6K%FNXB5gfK%|BwQKN=jktobPHj~klsRnF{G#HFNXA|^cO?=8~TeOeToof
zNS`2t8B#JL7LcY1O@@?=@)%N9gR1^WbSyH1jbtsd{skw3xkL(yT=|{g*l3FQ4t$KU
zTg*6xaCq~l7se99uZQYN9Fnzirm?#6F?&`#l7(C1Wd(0m_`{eG*f|o-d<Y6vpg=Ha
z1C)Zbw^Ga&q(1}Bv7bPn%?-FGYIj4l!QueI5(CS{oJ19yLr@8pahzL}sY*>5gbqsE
z<Kd3Ef9-8BU?3-cuxfzhw9o`i3~P<Jl~*tnCd{a87bb+TR-0~>2fpZ~VhD%yQ!zWa
zw~6ICSbb{tTQqz!O;(b`#kxNjXe<N%Y8qvbx_6}Z-$`18RR17{Nxz$0O<Q4a5*>9$
z<w(!y{#ZD_N&pE~``7qf+MC5;41Uk}QyeXbR5^(vR)7J1bTCgx@Zp4!izD;T7VRYM
z^|R3a|K8%evyiagMUDnI3`iWP-Rr}4vzT9Rm9m9u4)eCNKoWi!TUibV>VY~y{a4LQ
F{Tq>_W1j#3

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/profiler_example.doctree b/docs/0.10.5/doctrees/profiler_example.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..21850f2c28ff545b736f45d8da642c8abfd6dbdf
GIT binary patch
literal 47446
zcmeHw4~!h=bss7Iz2$$3Vg=_UPfoG5ce>jnDJ!s9QMF8ol1%eRi<HfnW%g!w=Wb>=
zJF}XZy+2avSPAS(@t{EKbsRf(klIMw0R00OND4bf0jKG|6ljsAj*&DjY#DI_!zf&!
zb(7YB`+M*EGc$X$d%Jsg6m8uB<nGRVf8O`L_ulv3``-7ykL>y6#V_sPzvM{NvK@b=
zVm2Cn(6FLTvcD13+fB=lJD=!GzS6nfDJNs0xf})Uux@pd9Vk(^9j_5ue&;4$9;WiK
z<3$zOz*x%+&Bf4c*}4ULPZG_4z_FH%*mfer4`Qnp1h<U9H=c3gXWKR7aXXG%(b?JA
zMJKk~wMso`&eqMA6PsS(TeD%i=F|g!HV!RowrM*4tZE~gZH2*t<5^+VS}~g~&#L$}
z&+%_PF<<T2`v9Rmh5=X$768To)S&D=_F;OBx4W-dD>T|<ydQ|2k9HUv7)$?h$zC9U
z@Mj-S#;O{d_O4{FMB-es8xUHZxpvJ=N@g5~POTjS`Go9UP9p+hlYMp1j3PY5_dUMZ
z6yNqY+O70Q&8*+T(74QQdc58klD#P24xLW&{!K@Cr=9GJ%|!;oK5CEK2irAZcW-Ql
zi&jcaz~8m4m~NhI+W-pf37~9z3FJ0I<Tj&7WhU@v1bKB#`)4rqZ&&5klBF(JM!6}J
zQ;4%?+x98@bW+kJ)#zN@DMoAQ?p5=)tWI@G_Jhe&voAze7|mY#;D^q<>ro<IH=1pj
zv8jl77W5L$3OeaU*&X|>7w<ujyX*(-UBK~<<dE$w+8+MJp6M@UX?!o!xWY;|SfE2H
zpX~O*WFWJJfO!11<Oq=`&}N5LWCvcO^UM2xB>sMZM)Iuc+<wr02Egp(iQWgE&B+b0
z*gD;htu(!}QOhL3vcHAStZ>QdP!}KU>SC|xBC_hS6ZmUJNKC#bc49Bf;K_-raoDcM
z?a*o%SEQ7P1f87h@lrFn-2?=;2*dV+bM{+_Rr}7agW?OKIOAjt0ACmKb6q^xHM_0`
zoo(X?+Bl%vNIo_-^%N+@5TxSxi&Im^j4=gy8rv2<ty@uK1PcbqLB~e{!!(GtA}cmb
zzhTq^&m;WdMHHK{6U9#5^o$@h93L~^#G}B+gQ(qXnxSJwhFJ^Ru@RY0Lp4;H(n57_
z6o)~M+LGgIK~(5IoQFM?rl65=`_;h_{V^2(MIh#6vJ1mc+YvwMWwtHQ#eS>Vvdzee
zGE|ei_{QK3PzQH-!cq(|raza(PJfdAHG%1Mr5e-w2^419&C%=^u7NZa>lwVFf!HFa
zVKLDXP3X743ltD%(FeE2fw5@$R%phSF-0^isosjFj3vk9%DN&qJ8dl6PTfZ9i&hjz
zh6O#s3c&$PccN!dx@lYiE0_^Kz7S%`tVn`BnVjDQU{h>wPIJKO7qc^Fe^$$bBVCA5
zoOUROuM{Aj{x4@6TYvh$$c*;>&BwWxv&j}T-i@@uDEMR{1z$Md4oREyR;M+|N<xm>
ztyU0%*1W)MkW?i(yZ|8^EYmMiO7WBAYIIgj&So{I@n?SxVE@tJvkEPQ`St$HXvdNR
zwKmp<xawh1$cRa?ezOKmZ>mmgH8Zc12cPs;!L**!#G8guK7aKC)5bOW&x-4nNik@>
zg4y3?W#r_#)zZOz7f^n0_`$se)&63=75h6V^li~LVFW9@{ogfn9eD56%X3ChbFpA{
z4a42JbH@%jl3XzjwkR>~?xKPNYY=K?ehP5?XhXp7esU=cx}m;5g<8B%!R1%u?psCz
zcibL#Pon0AAl`Sy3}0-+N?^Qdig9OCpmmWHZhkxNo*oJA2LSiXM&T}z>ByWe^~x0V
z3n}Q?QYrLYVBCFnB<LRm^iORR`upWtc-10pZ<bcd1zHkIUDJ^KwH^gUxs$!$r=vA#
znB#7Bq|v?=HE)bG+TNl+*(+pTC)qi}Cdap=WF+CSR+IVOWq1!*!t?S9Wrd`^)ex&f
zs*9Mu0j0X$_DFTnYBp49DB!Sg8csdtR<NWvG3nT4rO&+2tXXhlOtK2UWQD7wu(zAO
zQLaZzcp4hFtksz%(`#EsnZ(m1+7Cj@fHt#ic^-WdY^3fllZKVi>ZhU9LpeeTTBH1S
zvj*J=rh*T#A59x@DtNF3;DQj6Tg~g6YtSjN-WJ6A@<_z`(}nc&p=;#%k}fLD59Z4w
z7nlkAs%6!k1+vAwRh}OhR?2K;VvAQ>AQY$)m~j23#Re@D4WYoove?QlQrvu8;O4cF
zaPv?GHygE%C$V5#YQa{TimM(ZW6xWpodH3Lnln$*;ryl;&KHIn4vc;GH*^iwr)B}o
z2qWrl<}oy**O26Emwk)al$f>^I<U%DjaEBs1@H^1=UVi@=}30di*2WV3xos-01>mW
z3cCn22HJCcZbyoUiopa~hrFs;MmvIA&|?xa;R0BFi4@q>dw{+{d}tiyNDwuw*b1eO
zL6}`aR7DV3ZLiVYqOs^KS-yf?)9X*@=u+DHilD78Yf2f!k)+hXvl$x85yj)rVIqNk
zrhrfpIj=*s7~o&C?Zpl};f8)|1TAvzq;|;08cB!v2V#i-ZlobTo*&}tigy(=r|S6S
zsi`ZW700VnQ)i6}Sb1S}(MZFf?PC!p(p<m>1qibaF7b?(2cIGqGg@`YauKEB%M4?<
z6&jKRHKV!zmEh;ig1@bRNJ?p+N`mYaK;&&|_nSiv9{wx$8>oRfJ()bcIiu0@u~`jD
z7_-JpZ%s-%w^<B6ftr89qwDWnfbr%2vBuk4`|Fpdrp^aVc!pz|@vAT}J(DF6bSRL)
zw1Ev1kasg!f+U1EGGS~tvig?NcfvNLAU02?4UhCI@*~yEn&YwZH4UNIuvV}VL-`^8
zP&$#pOKw&fN@->1J!@&@Kn7ezEc@gDx~OF@RUg<WBx>1(8cZ#}@J3@IrL#926p5EC
zCI_R?zk!-R+5`%H_tX^GO{V9(WY#>3$n<hMZh<VZ*18e4HnE$bU$Z2_jtbcTF_vY=
zY6v<>>FVJEx;on3i6X9p*}l6dY<g%4n^Y8bYUn|vBr$wl%mnp3{2aa;HQ&ZCZ%oQO
zF*S7oh8oS?9K6PmAn6ohp4uV#qG2?d#sZ4*(qWJVNBbn<>KZfo+=iOtsV&>-0<>Q>
zrzU+j0oyg%SGy3{A0Z@8F009YY@|`A{U;+fAYmAO+Mh(ti=$3^Z|UH!LL9g+kxanO
zqjCe#N~U!Dtp0WV7g3OQ3R3lenLD!rNWDua9i+R*%Yo4hq8RFNvl;l%&Y?&*(qhn3
z9KY_hvHxMr&o6pdqP!|O52E>bZhU^8)OP)dOhIZ_=+#=IUsDw!6IdB(S%W_T<|VCu
zEel3bYCf=msTRxBF%SmJ(X3SJr`b(lU^B)EGQI-wpaOt%u<1UPS)1*Y^s$UngvMc+
za7;)~2fNG_Ft9JCji$MR|11+<m#`;k!U>aEmCI0}cGFyBh*JE<<gIjZMuxKnR_$Kt
zYGZxwqF#Bi-oq1@0ZcyV57`ikL}zr^&ZVSBM&pnani<mu8!E!ZSh5ew8Ifytr{QQf
zZ7Z30Fv~3|WVG4k{?;%Ua{nQf7GzU6f$k@=1>ApxU)okUoM!?BTq)&@F3^5=L!jNy
zmU@8%NP9_omnpz{el#N?`#)}IL<<lBcR*HU@N=hnTo>Cz)6TaxglQ7C64P5Op;OiH
z&h=S<?cNK2)^I(KnnlZf@{S8wq}KRd$)F_u6CM_J<zh#`xkb{{N!=`?Rn~}ee@Ih3
z?*89lW}E`e*cN{}KcunbkQA)d8VufB8S#4ki+gwMn8-@fiL=JbB?EsG5eHR9Rnl1S
z)bZnK@j|TGRe1dTIQIg&LyxBj!>Q7iLzQ(2R9YZcj%<&rIep%@eFs~FRVr3gUGHIV
ziM3FXZc!z(9^GO(;oy}0A}lnZ?fcC0+ta0qRCMFT4IZ+<2xCPKo`M}S_2?D-iOL0?
zr7zhVQB;+-VHSgswgd1QVX~fpldA?{!wQRP$yvfHa(9(6z{yOtROLc}bQIjAs9BAi
zmuMt<dg&egP4IlJL8o}BUbD9((>Ji0={{|S%T?LuvIY<;CFVtr0iaAW+Erhe74?-q
zQzTcxg%mspu|}pDn!X`tSYv}Ay4h793MLh$0Zt1_TvNhaS+4|CQxwV2u>x^I>8m|n
zM{%QJE%kT_84?GGp>E=Re!h6*HOChm7U4ZlI3X)PJYCRgAR<bYV?et~cH{NMwh5n^
z$CcK0j-KRrbF*<f_iJJa9<`e4v~HVOa%9NNrNt^HO<L0gAAKzs!6zn~8D{NF_pYTF
zDII*CD;NwZRC?35k~&0L0J3PJF^sws3Bp^8uZKZq4;L^Nb^kETo8Iq0T6kH|BUc4^
z^?3{G>i3pqI`e$*?h&>PG7A=}Ru~5T`hq^OK)X$KtLj-xmZv(-QA9V9u~WA1tiw1&
z=oE?wUe>J%O1oV`U^d0?pWI%&wimDM#mkJh7ca=giS5OURtNDnvAuZRy^EJN^4L{X
z+C^@|-tI+tM8w^Xa?-qeE^prHjikh)00G#hGT2BMs`K;kJ=1<FJj!BaRRJW@gvG8E
zJEgIeF89f~5rl;xQVHs4T0BB{L6nBgpD5}s<7g><58&^ov1E2a^G>J(8HklXjgA=6
z7}C}mc|YCNP;WHC;#Yn?>Ye?37d8nWdP0-UYOw%EgE=#3n<wMU*o3&G1gOF}O6fYX
z!i@7kMQiLxcGK3znm6tkFs(hMyKfjbbu_&Ap%KTEd5PyGKZQ6_8Di#RoZG{hJ$0xq
z*-xj}+U6ookBJj(IW8G@-%E4>Ur0a3N_JZ-tq={^anqwXQ1@A?HSRvma3uTvnm8ic
zNe-UJ3E3w@%bde!|6yLQV3WvcQUIC}L?!txTGd}^gSb?R!_~8_*Wyj3WyW>|n>E;<
zDW94)9<Ed#7WS{KO%4g5fzP^ftY@oat<<enY&^#uJxyx5Xs&k+;gP1UjC00BrIJ5<
zhyc)7oJX7}l^%j~i{dLFN8%7iZWiF>T7*fUMuY9pC<tMmEOT7xLMdLLW4ma(vUIv4
z$}UzAjatR#Q!R*`c(q(u<mu<1zx=#BEO2rgbHigU&p=)g1C<;fp$S#QOqsozXus21
zjqSjHw9~~%&LE7Wc+|a&(m3lJ!&Mb_UL%%Tr22}b@*=F9?DOHy0B|^Ci<8?X4xm_B
zE~onEMSUgG!~#eMHa0=BeW6`*pF;aeLP>GvKDXxCkb>;9XrNp2xYzNpmk@Jr;$;`+
zKTVGY6Jf4J9i{^8SLkQWwegW3TW%cJcSBN<Xn{Ovv?@>GTRD)z$PFC7%zjW37}LfC
z0?}uY3ZM!au~u6_Tt!6cN_Ei+DtI$7Ia!kONwjrE3M+16k_5_mv3%p)=92~;SvJ^T
zfYW8x^0cuS1P$KT;s{m<A9@_&oHa{PG$|Xeh$m(7QI(O6=U$$`SyiHO<u{m+%EH8L
zf(ve|G6~&Equp#pva*Q(^5b*wnAGxT8y^xMd8zW-OilS^*<HrNUeuiQlqUZiwbrF+
zElqwMr3<Brpzkhe;=YRF?rZq(jtUVvC#e<i>yu!q=MdL#t6*r#K!B4Xh`>gk4MZLy
zI1FkwWU)Rr$P$o`Zx{<ub<z-C4vApD`81zdRZL|doC7f$tfOZtbFdPzEFa`SkT)Hq
zjS+l8!Lk->?)XF)5yDRZf{vWbxMJx@0-FzXLS<F5C<8@LNkGVxD%ePb;(<f~&~ZZW
zvvgUjeuUj2ZH@VP^nk!kSRW}`$llO)#PuWFSc6@a!&++RY-5LMH;)~t6n{ptq^Av8
zO36-{kdP}xhbd;+==k%lX7X~bTOE;+BGflqkVn_hw3eO8+IIy|=Y?2TcX~hfcTiKQ
zK%1lcd}XV2pF_JhLH8-4k#*MzVZL?iKKr=;b#<Q!h#Z(XZC^-UsbC;W0K(KrY^FQ>
z%IIm~70KAhXf;aB)v6Y?q@Ofced4SF<r_CnPa9_{r*2M*FK6&&29F-Sd2<?qlMePp
z=Wakp@vt8nPmpqjue{kaakG~qmF*A;)#$2`V1gkvqit*rq(^GrXUX#RB2E}hZ+d7D
ze$aZ;5tJ^}n*?v<MNat*(wqK6yOsiyJ+hZ3XhQBTb&k(eo*!5_c0(N{6xQHHI)K;b
zIN%|zI9)>wh*}N0p6aP{KSa15cdye&W_jtmF4%M|@C99iV{ra(L_yuv%-7M3)-RL4
zyaq)~3oAZLinG2r(aT5uNLeIjZ5s4Jnx0OlLa`z0bSc!fwx9l<G-^0K+@Q2<B>7ma
ztQgM*%h=Tor;XL1jkC=@{6TbD7|E7a<<V6fN))CZADbcJNavAJ6FJxDGz8b-EobFK
zrsnkkGVReBSnOtU_bFVes6ILP=0!kCp)U#w4K%$CbGY!&GL*VG6#DvBsS*hWxM4TS
zYlNlI+$bO8{?}C{PTUzc%CzEzkYm}-J)Ck0yv1;_u%{!VxL{L<7>W-hK@9N1k5j=F
zr92GnRxu_<QXaPP)5GngIhxgl-z=i`(bR>{4?^==UHCgFU8pVy`cGGB${{#_x{zPM
zM)lR^Te<lCoVuVF?-^dwQ<dS6URr1^gugqJg|S<0par^*+HmxW+HsM7Mx{BdeW54P
z{S(6cxchbb7)p8gFS-UR4?h@DG<P-g!<_Q)3Mmid#nB@}R4xk)aV!=oC<23yzL6S0
zhET9Tq4Ltx!={gKSvYhJ=Mtr~p!K~@@3Bd2LwQi?Oy=iR2baa!bGUvu4V(7(B#U<l
zl+@V2b6sNo|A(GUu{7uRx9=@LkRq-lU8qY3z(V5xbT!;pD^>g51Put`WU^09gC^MY
zQ32F>&hO!yxU>@~P+diLIeL5j0v+-asd?c7T`)|FGr&>(z>56WKk{ih#tn}@G{w||
zn8{p2l(~vyV3cPpqEebVL6)ROrnMH@zBrnRF!$989~w8kkP^40y@FaP?Fuc4@Js?0
z_Kbpn+nj5VgG}*~{Y*%}1I-l&^WdmO-V5qXhFR-K2`;bI(l^6UHPN`o_pp>ZN*@DD
zIe9kW(ypHL(t3{t$2N}ZTQR630(I~vbbhKyF6AaBJ-Mi+i0A|}#xn$R(-O=mpPoK-
z>Xe$wNj-aazT*^^hQQ^6BjIvSPh55`WTSWF3P#%ygc&7ca88}sM%iZbxy3={uja`5
zG;ed7o4X=2b~^zl5L2zH<i%=#u0rt@$jMzz#s51-fi4w=IGHoT=sJ*7(_Lt`kEspP
zq`JkUR}%g$y^)+5VZTxs$75aN=)DdgK8CY{_ieC}JfV_;k2bxWMh%(28Ns~P?5t!)
zgC7ORA8dWu*G1!_Z2YU`NjQuy9YWgbt=aiEF)tf7S%01;cQljr2KT?N$@*7Anyd}S
z#NqWuq&EB2Zogvj{I0*$`pRsTUZtcLSaWq|A|;DRTSSOZcT*HLRDRi*(2IKoC&MhC
z5^c~Sv<s#e;T-q`Jm&>3u-^|u7+tEYN34@Jpgh#sXC+~Q3~a9LS3Aels4C>*ugYbl
zf&&}X%!w%s`7{=jl4>W90uFqbR#2R42~$EfJgH1@+By)gMhR`eP_IyQ1Iu*bD+M$I
zhdXQ&!JC-~v<AX<#Y;tUYc%J>@*vVnJ0I#OUFduek}SVO4B&joOZrir5BXLu{S4NN
z6p}<c0A{2t%UmjPRPr-&Yzo`AzYl`!{60R2V=uHIgGhWz<x1aSQ1C|2sQXW83dY@k
zOdkX5=d^|KTe=2$AudhP^$w$~w_WX=qIS|vj4!{(TE%K&xNXFi3w*KRg@6*JiHhS3
z*iS%$Or&s=i4b#|6YM$CWizgeHX%z`YjPGM4ug@;%@&?QKBA0D=^fRv5|~J{Dt2X!
zSxU4TO=7VEWH^FGiBq$+w8ik_JcN`^{<WZ!f2C)Ah>e6xkC9%cCVF$|<gag;UiM84
zal?AqHwaIo>1BV){jaN+-NtGEhm7|jy)gUVBo)I~f%NK}Ynp?&g{nc!&_7-i*Q<n)
zHM8J^Q9J{?d4@u4X9TU!*a$(hLVj$v5&9ce;+1%SKu(rOIVM9&Tf~(6xZ(-yXPzzL
z8wW>h3YgI?rzK%k06s*04cvnh;vS%OyfAb6XQlRPJS39v^5Iq_KxW61lmtyDVzyUW
zT}8+aoLA=P`?Bhp^~`G~l0M*m3d`bTz9fwZ15yX0udG3;7*thPK7{u6ya;fmisYog
z@fHKyt#qDPNj%x_=IDz<=!V;b*v&87gh=tIca9MCD#iNgUlqyk(e%?F3?jv~e)>8}
z7wV@%qNiHnfSY4#!4#f|QT5Y&E0?b3^;4}I&Rh{<E6OOS$5^6~N-1Rvz3jb9CUn3)
zD(cZo7G(=qtD&xap{LZHLDCs$50B8tPzq{U*I)(p=SEdfyV|Md71aN%#-vch8HceW
zV0uVT=0hW2LaJp8tEM=%um+_S+%<$;dvq57??Pzjhi*`2-&V0X$c<+qJzuJta=bW4
zY9ktvt~26A79JBE@Ird$`T0j^Qw=!<A*asbr)>Dq)T40PctlO{nfZD4K2p-Wzkk<{
zE#o)*F#r~1{2on|MZ0}_c&?Q9cjqJN@K~~4?5f<`lS>DDWc)Gp2$lO}Qc7tcZ8!IH
zUHB#jBp&qkV1Fu0A>fhy{OBXgi`8B`j}5Xw6eo{pfvD=zGwg1e1@a0{S$=khJ`?s~
zLg{E0$jjXSx)#WN84E;P9a{LXxy&}m=}pn@*E2$7FIU7e7P43MH0$2dM#4pvkd4YZ
z5^$0_4M#2hOTj&}Dc~09fRZC*`#C_*FrXxEbLLW{Y>OVUnmpJWFbp0Y#gjaQWw1>k
zeT?ciHGydLj-~%+isapB8vCaPk$PHV|0R?z)Yydt%r7kic$D)i#Hbp3zLiTK$t#@y
z>B&gPSVtE2w@8M~&*z;Fl)gj8xv+Oglp#HkGCP~N5Gs8SHIc4O@DL1h4NXxPiwx}+
znxn2kVO*R;0EyoypeyDpV?_J~E}MxQ?7LCm%~WJU=cV8a<ZYz;tk@qCO{vQ_m&t_z
z=LLK-D{;Eff1+q$sh*G&zsIuvRhsjRX^@YgI=&V+O2ImuM_Sq!Q{^9YHJe|LyA%zj
zZ4oT2Z5>Y$OqievNZU_}-mW{6b+p58YzW?&p(rCWlp!l_bd=xU&?wKOqa2i)GeaGv
zcENZvx3k{gi&qqho-F326euRuUHkGJ(3ezg+}O)J!*qJG2Ultdo%AYEFtWVB>|zmh
zLh;f^H(wY3IAmnnd7}IYMNW;QP3eSCa;d*hgWU#wd>Z#Y<t*S(4dpfD%d^PUt|qVW
zokpyChGuQtJvG$i(bn6HuECy-znfnm9zPH718(cWZj^@$L`Wjnp!-sSM0KKvBvSTB
z5Bs7KOd<0%!F=0TBk365EynnShIp85qfZc_sKJ6-(`~`_Rl2B9#4+GHF$@^9xkT3)
zinHq21{C3Ijm+%Sta#bN4P(etBQHJ&8gNsh1NS@m(a8&sBvx?LbL<-gL@Tn|jX=ev
z>V!mZQ12;L=LA;YHxgDqna64_&qwlU$rU&_qOimnKdvaVN<HRH6@3B~#gP<<Tzg%m
z#Zy_hlp>o_v{Kq59n_L`SfM#9r*McSROXGl8A3flER;Wl+3DU#%!)+H;gak@d~x0C
zyq3*UwO8cV=_H3K`-z8tl#*vL>fGkcQ~P%b!ycRNpUO|=Nc-=Kzob{=^IPWC_*(_|
z7}~3`N+ds;S7V9$U(c(Ne4LY5U?-oVrDTdM@r$hOj1bL=78$uNZ*qX#jjP$$n#xb-
zh#OYFXj!DsiMs1)n!l@H%2W9#i)M8++wJcSGPl}x`!Gru+HPW=Q*B_t-IhEbjB2~(
zTe<Yl@_I>DA((Oe8CDk36G``GX$ET$ElB;f6JGlJXeY;?3C)&Ga@ka2K}tC(dZnk<
z{r5B%<L<wukBn*6U$G?J<o9(A)=hppubW)_poMUKvJSl{pfoq6pTIQAMCQnC4uW~f
ziQ2fPQ7!Y#nAk%XOOcMR+0-^u418T+;A?t3!)Px5f&{ZdMNV^hKiSv|0j1@kA-23g
zUOS1iCD0-%^weC!J%tp+N~+s(5Z*%4a~YM&J3BaG9V#q@=`9jl&~l26KNr~e_DI<H
zQWrM*T;X{iqAK_(D&JroQD9Z*tO%Ob>Yw`q0)x|fCp{{pkaO8__b*3+{C5fR|Angk
z7IMln@Ew%<pSlYoeUc#Q)ueCJG0H|6r%-U`UmZ>m&hG(L)mw%C7k^#jOftuoifbum
zUcX?9kYoFqwU5xpz^tuK<a~t?asX9FLP%aHXO*GC+tn^H`ZH`aN_?TJF7=z=+cN#;
zodsAKTEBUWW@R+}<_!10u72~!Ql|lDk?`@HTBWs0-#A^37lRBR(rImI1rkaPL>6Me
zps)8$2g)W?zZ8L@nL&~S0tzYVd4*s|)PuZ{L9eu`^piR~&A)70yuXOnM$@|H2BA2u
zb)7}&Laj?sU!K7S@R;Yhb5yM>-^!&w+A<#ha1q{z&DQzyAQ&&sShd3augl~AggDse
z7!fFbg-dE_!69S4<;4|zYll`DA9TIXx$--wjh~&w6^<?E9FDC_%92R?iK}K>HnM&~
zSX5=BRk2PZ#V4)P%4)}z+AHVKUS+XvmeCYa1bWuFiA!>A|A6VW;VrwwbtW|H{+L0X
z=g3bLQO0N-*%^dBG)H~}r3*Py(8}Gxk^gPWIP&+4@IEX@esvIx7jxvl<o?&?$X7BP
znW};~t3day!qYIzIo*^>Sj=*|UZnVpd6Sc86XzmD9HJN^!N1f5zX2PUiH()2co#sD
z=bUd8&ERO9^QVK%qvo7{gVKeZBj)t(;GFM*b5ckWZMDysYI6e~0wh}@WjZ;|5?Yx1
zQdjElKVb8`kN;r&s=36?!Bb9QG@|J%!U9(m)xVIQZ1>ohFg)mEV8era3I}x!_9=WH
zC>hDs+11Vus2y!oCgB`(V7_*l_7lh}A;*cd0N51AX(8S=5eJ7Pc9DqH5gXv_(8%tB
z)5ab06VMJg+VWw^`c4Z$o@hr^)-H@UqU&^C%3@yLuCY9fr{n*TL8uVBIrFmfo~=4^
zeI7&XHe81`(cVpX8qGvI$NjIjSX}=-PB_Y8YuW%48!J!2)aieahfeTEbZ|!<fq@<M
zOsWe?(o=C|qE$ubX$p3*J;+@VD*2%rPIQZtp%4X!Mw!T4WH@!|x8SOxh=08uRH3&}
zC_Rf(!k?Q!MpD^vrFF}j$VBDoF4(z8os@`WtcI$PhY%M=n2mB_dqc;;X{Y=aN5O5+
z=1;_IYI(^9_}?s&B%>)UKR1Xx(MrqHC|#(u2-%XV3IlF?DA6t4W1|}2`BpC74+)-G
zS-<x|I`!A(=O+=dHb_ioE)=`^2xCx&tjHOrPe(M(I`%ang2duVk+aA(cA*{OH?okb
zC6;3Y&<e87;~G)X9}6(P#fnnxQ<MZQ0Yv~nWJDBIfIMfoiquCWZVNYC#1v5=Qr}D)
z(W;N;aacpd3aG7$z=y#L4T-Wu={5b$HE7Kp?njB7$K79|kAby3<z9Z^o=w*#9@;W(
z;x{nF4QmshBRq|!O?-y?Uss!W7V!e=pm3U6g%;;Xr{N>LLL_{H-RL2O3X}+}yvRI`
zyIe*%8{Bot@cPYkM?>EfUgx0Z@}Yi!a<fFK*c5aWqNBb?;yNo*m8!Br1#E5kjq-YT
z)u<*WaVrh^y;DsI?938M2@>wzp>9Kx4P_un?Aps7Cnp6IvV2}`$(6j}Aagriy{J^8
zE@g?vF*ET9A`QyU<RcSGV*+%n5h{RK;$R1r1Yi>ynmGHFQS9cBBVkaek@`*nj<6@H
zDMph4Ge07!h!w+1wJhY`S=+`VInRCHMn*c@aHn*-ZJz3FhHUecp!;o}8t_Ujtvj%0
z{iUK+bu`WTcLrHowPyW!lrGe)#X5U;Xx2|}nKtvCBD@dlNdNXA7%z6Df0O%PPn!XW
zP~3-cyHmC&@CBaF5$_lK;UJ)D;`j@cE+h^C_T51ob0Cfsl0^DtId2Q84shNUdX2}S
zfG8&~`B#LKSLy@({m0~r&GdNUs*W*N-sv!#P~b!+d{Va0@4Ipe>=K3pIeRaTWjj!g
zZk2=pGlEzs#LwE#Bq!7rth5c{wHsEo9z~s3DL7|ma#%)JRb~0P<e++jn<T8xT(TeG
z?-alsb&_M0%`|qrr~;>yj|)s2xO7tNS*G{7I&;aGwEuz-^~azJAyOIlSK!A1(M=U?
z-@?z5{MimY{5li|^=i$8*9>pb-5x}Jg{yGhF9bnMcfe&{Ufh`+qQt8R8LF;8|7~{g
z<S?-4w5oKXA5|kX`BUPF<yrisN?~GEPNQwn>qD{va{5I4;GhVptMbK)os0J*B^&7q
z)XzQ1F>3`8taLR<J4&DKX;`)PBHBB=Y=%B?g%WU#H}PZ)Vc~U)2Gw~rIm}mrAQ59d
zAX@4qW0X_poimYx@8kKG;^yrt?Cpk!`+|wZ5E_MBK99(I8q-$xa4VhUfvz`QO}H<V
zz^aEiV^0PKReL=DqN{Rpl*SMNQ8rNIVN9Lmkh(t@7{`si$vu|eN$y2JUJy2_4Wwf5
z8vxQ_#O}q_$Jlryj5y@Nv=%6MZEtcId6R-_`Y5@_0Z|>ITPCZT@PJr;0H*_Gj__#e
zj_?y;*N<rW(?{ZHLUje#5zi$@aXCs5(FR~zlc}VRYjqvmsmmmK1To1G#T8;863Tsw
zA;3TfF&K*BXI}^!JtT`&Nui56*j_qG-_QwNJ`8_}O0|h8KM<PB`X@;A7;zOS$6o{?
zdN^Phciy|>TmO4ca=2x+5c{uA%%Gct^n`AdsS<l2<SmX{(b?JA<>h4rCecN+l^|T4
zZCFdQC>hOmlKZFzgMu13cz`Sy;Jr?=AJ1prcIq9#?BQ^s-qj5~NxK<W-NZovMt3aS
zIZWM9{$X@67MnG2Q6siH7xyO*fF_%`F;udr2EPi+n1lC^l4A%tKXtr5Zi@B-BK?EN
z5f#SO7u(=#NTcLl{w;o1y#P1a2-H3RmlIeB(<k^1SY{NW_N{gc=K~HyC~+8tlmoAU
zdV)HoKu-n3aS|0#yOu9^)N0n?fsNu-^krLCjMna}L(t!<BB7n*RbfQp(npdEuO_=J
zf2jj6V6tC`2=FAx%kf17YBk0=1RN70VmOA5KrS&PB}k!REztRd<aq8W`w{3dT3gUR
z_7Yn(xcEMLD885N$L)8y6=L4ZGBJ}b6YlfKO`nVjxJa(Je@GAXH4Za;jf49SC=1U~
zRZXW|bl--9gNe>)quPx+?i9i{6Ll&q^ZcvyJR6ct5!+<&cHA-22J~ht7FD%ax^E}=
z<$}r!uUt?wW!lLYjhdh(9AMn9^04Q4fO9;mIUdFw13kwO&bb879Ctm(-ORP^399}s
z`%(9k=+<6ve+3_W`JekK`t}0w<Nhjrqa>B?r|BD|19Cq@-{_dJ`)l-#g4W&7(l-jE
zaz97k$fMg%4rPg+XY3HJbYclX>?NL%Y*Xa~X=I;>av&HmNwY?`*GWF&q9?i@>e6Gm
zVq>aTu5>)tK9;F4rgibY?zZHc9Z3n2w;r@fI(Cu+*c|hOM;EK_zVq_=ComTu?K}_J
t!Kv`7@PI|QG+uP51#s^10sWZS<bYB<a5pz`NU1?<gcPTw(zI)p{|{{2H>>~v

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/regex_labeler_from_scratch.doctree b/docs/0.10.5/doctrees/regex_labeler_from_scratch.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..4c1fcbdfccf79b3145e8791d05bfb40339822fea
GIT binary patch
literal 42399
zcmeHQ3yd9Cd3J2?+Pk*bi6MrPO_<n8cAf0rjq@mpi385VN$PlU^K>!h?%aE4cV;~I
z&Shq<*GmWu5UQk1RUVgT1&UB96^}werJ_`Q@Dj90w5XLTp;iSdN{ia6MMY{$Nx%O;
zbI#0}o!xuytT%RwS5EG|Gw1oA|NQU&oF|6f-TlZ0{)=~pZQE&`shEvM%Wqg=H{ROt
z>z$_6in{OW?t4@B@$O_i5}1pj-wEngH{O5}b=&b8fz|4s#LF=%A30uFNg5bwn}N9y
zm~C6NU=PKQ&pqN;i$-KSq0#aqtLFQs48LXE<3#s%YQ}AL6t%+xGcyZLWOr(ny5F3s
zn{6jDJ-=nm1f7~w_ggbjU|BOw(`n7fHo}>}TCmPkJ+o$cR#2S}{AM+*2WC{aE3KO6
zv`*bVSMAzcFjjj6Q?ceP3>{OE)3b-{F?x-+n;){y(7faE)dt&rYnS1IS*>0!9tJ1~
zlJ>56q^jU*Z;FQ#aL&e?F+!_5+o_rHs2N3pQ|m-n1_Jvgrx60g@s_%0h9Mr}`%uel
zif>yRop$=8X4X$(YFuVBJ?=G!co@YyfzypotRv{Vop?)RF7SZti|uiHd#46C4@YLO
zV5JxaNWOM`QGgM^HUL(855PEn8pt?J$T%$#Y1(g13*_sX_EkWKYh=0QNUO?CqTID8
zCxL0tbnNTx{qd+mvqtyGMPlBT>RvW)C)KIWsC`8|JM(a81>wxmM_+xztvAlJ1K$m2
z8fIkT+q?tpo&gSpGXi&d<9*kD>5+}-dy{>+y$NvN5bv;^1>3`ak!Q9RvO8dycYuUX
zet^JIDj#odVKV{==Y66DPsck6c>zE>utMAS8r@&r`mFf-Wt!8yvUB?i`yLGDB3}G0
z*xMR?!3ONn{m7Z7cOYz=M1Z!o(U}#Twz|~Cqq#1IMHit}j~u_XY=%Svh9W2OvfDqN
zxuXMu=Cl?J(|CZWiE$TzZrm?Oim^CjEP?tN{$fkK7Ra=F@Op}H*iDT46s?PW#jO2O
z+WxCzhlAqtqBuix1k*e&sB=%~*)_W^L6vP|C)(I1+lb%%kVcs!%dFd0XxKhzwr_Mo
z3%kHFtTRp+5uj#_dSIE6l|qKeu#u2q!wii@%k$`yn1l0r%WxtCcw>Z7(5XkAz-kzT
z+J?Ywv{{j0Js*aWuGEtN{hRw=DePljp%=;(V}#skwZK!sl&nV80|*NdbA;Yhoyclt
zUdOlI@0$WQTa5&kv;edk*a_2WMFjjAq{$)(c&a6~-_Lt|_gY#^!Sa60?>7bq%WhPA
zZ!c_rHwwKo#dhot`#lO#_dj5@J+m%hkeh$d@qo395F!+2CU}*?;nN8mO0<;D|I--b
zX9l1Di%{)%)-?ZDKFs@xiPiEoH=I`JG%UlPXAH?~HpxRqb7&F2VvP;TZM)`nQsDkM
zp!D^@f%{@q`^w<JU70b*TWQ}$OKtF-VMw(QLh%LLZr(Z5wTB_bb>``7d{KqD(c3YA
zEQ#H%k=WY~J3$yt8J-n=_lft1hSO~OLB#9iIkmtH9H4H?vKk<bL@8NTw$7N%wr45g
zxVA=85dSlV`h&qi{1Q1s%xtX;$Y9bq0=YhdL~jKdswV`3Nr)_){g$`1><!rX4iA(v
zFuiKc^XsQFCF0E|jFSf>R*E0#yoc>^ciTl9HssNSmep^zBM5&G{G?<SZzaK}V=e#z
zgz%GaQ+EVyps8W{0L9NYr!}(KI@1o&fE_hG!V`D1sC*HRBi`Do2`#J}Z@&{t*dcJ%
zS$t;ZB;etWqJkoXUrF%C4@Z-4;gb65hJI_5bRnbN4xCmbkxl#>l{MOCs{s~`f9=NT
zXcR0R7&Y*hw3ih<sZ66iYMrTD?Z~)~QTOg3@B>i;U02#>WLH3ctRR}ae#)4rRAwrb
ziG8cLDA(!#$!v5)yOtMN7wzIvr`7I6RcMCh%E-3WX)i^#-@37zL%0b-on8nhaoOF0
z(x6gN!wQ1#(}a3gQ~hyQpq@_oCgUxw8V?Rc4yv;WImOB%GD(roN&+C{9OBJur2{vi
z4NIc6-1)A25Z|l`K%r#(eF;Ci%hp!w=>C!b*rW6@h`jDTq-wB0cmT6hGD!T7k6K3E
zY#EjrI^L4pa6-fu61FZ+pLR@U6mxSP#6e-@5KLofZq6W$3Om{04Nr~C%{AH;QeqMv
zW^S%xuz+uRp1%m0JS3?;+2&2q8ZR`U##zL4Fe+-IVa=NzFUrd6Ge)PCkth-|6XKTb
z)NP>~K>py`$=C$jnzVPvFDp6WjIpJ36To*%Erw9Hz(BSn3?xHl<4X(SD{0gv%V3|5
z4tP86wsXDcJ3qIT+!mD<Lj!K?j(06z$F%*zw*?b(eYC3f&aUN%ASW}XV@TQ)&*Uv@
zn#tn1!Zx*S<8wBIf;G{}Yz_^`^1}q;Hq?|fqa0OL)sq(Q=+xW|8FWZ!t2?ypnJ!uM
z6reti2J#Y*yBiNz5}w@4@G{5Aew!Zk;$%W}a`#e)so?Yx`dM?Y!G}b3F*ki4$4P*Z
zmSN){<d-Z>tSsBjlM_sIt4t6fxMZtW_+iDiy!PZixrf%T1BJ-E8^6r+)v1YlGajx4
z?|4P|;ZISkC)Abv@JW;|lpn+j=!iY(9!7EZ9{jIJY{+3}Ny#DC%8~om3&;N*(^xZ(
z|0^2l3GHGW{~`C^6UX-miGEVURp!jqrrB;oT2k2BPf;E3MmH9~pd8+9K~p^;q44fU
zn0z7L38<V0c=zyn;oZxMU_K~qy{R8)7vtT2?!PDA-BN^if<{)!0ob&lorfn9iVD>b
zKU?9%NrjE&8_;p|SP{I+;powRpr&y2R+KKpQ31j807qZDx?*+ZF&N<;I7(nkWQ!?@
z{hHb#`CK0*)uOm>ASjNzucwcJ6sAR0gXN({R$)5+Zcv2#gl+-NkB1HKF?_!M;*_qh
zSP{*LjKJ_e%*};u$obHbXmV-I(5Njb6$hpbN0{Wyg#`e>B;S!S-)XTEsbZjCp&Tvx
zK_i?poOw8kpa>D*zWc=c_TO-$ao9X%84pGk81|rOS;jn>`i#1bolpnn8;gF&YXG=)
z%Q<bK_G!4l*~kam3_MPO!Ri}~esILYzZDt_&S`4ChK^DE=IgJ<;QbmbkeJO<B3{Fl
zUbE_E;+%ntMl7BjIP5wB>v1ryHK3R^&}5?n4RDEjgX_h|7*m)SMYA`W9Tcir<N|7t
z(g?pT!xE!}dKjh}-i;-eC)GOQQq_THPbsVsnw_oyjVJ_=xIDxNk#@`i);n^I=%Q9m
zVwZ{=^-PM}aWWBHz_0bfFGX1{z<GW5@$$W-^RV1DP>Sn3cA=!*B^6g$og_pA3V7=!
zTz#ImtiHPkR$M<v#G;(y`dRM3r*L&*uVI}wy$(6p$wRLAT}PQerFkxuwRCkgsWf?F
zBFmmK^4Gfdq4q3O*KZX;y_|^l&3<67M6@rUbfJhQ)<H+_Uh1okqh-}sy_F-UJGFEa
z@s-DvL^e$l86uRdX=duv(x;!sCS57<VrB8olzuF-+&41zrDUH$#LDz84eisAMWz|k
zxPNq`q70J3kg{1YqMOO0LQ)F}GbyTO8%RVHYCy({zzLFxgTg2^7b=;}S8)#P*P{W1
z03?C{5=*oS5Reco_Wt)%Q(?6`wuxoj?esB_j60%gFrj-xR>qCLl-S4-dgE9S6WIY=
zTRLFuuNV&sv6jUQo{5pD_au{%Y}-O~CBF!b8}#C=l^H3aNbL1atL}9g)&a=KJb9>X
zLP?vOn<58-u>TA5nRw(ZwEV!T*3HnO2eis_bBLuh+YklK$PdD~ITo|X;D7quOePiV
z&e;gC&t9UIxkxC5RXz`KDV>h#FVfjCA>Es6R%c{6{w&2*8ViZ3@y015ZI6HT9O)&?
z@IVf9hlU?%yFAXHKYQbJZ>F{cL?IPu-i@7ea~ev@v2Dvd&5i8dHH~aoAbr|qET8lP
z$)cTtW!a%UPupflo+v-wl(Of;If)xcufrQLa!Hi3#OV0<pwukFBS_9f9VwwqL-RC=
zM!<T2UkEm$&^5RagM_|Q_zFc33W`)fPN)T<T8NB5s3ye%ChkT-+eG+FqR>+H%!-mO
zkI+I<U(h!4WioAoPZer#198pZLJmgMfEkLl_!Y<%tH=u$qEDQ9GWIZn*hK-V2#P?U
z8OBz#Fdoa8#G4@6CzR)T(&{IzR%4%-D1)eC+}Q~z;@evyqXg!Nf2=se+CbBlvsA+d
z?W9;pNx9*Djd)1J{lUOYqfSwj2pm+t*(OD{)ASg8t;j)bDpbK}Dhrh_K0_u5lKJS9
zZ6NR`qYc>;y`oqS2SLo?zEpi57K@$YUo4*hL;M^X>ie)XJv)<Ywl8`{V_|wWEYL7J
z;^axs5pR{aD@n#?Lgln2-g|Fb)9Cj0u`SXL<GzaboL5PD{h>9@v@+Oc&P;mHnmy-V
zf+PIyn&y6>JT1z=VJ)rngb8p$<1mSg){FCec`a}`PVq$-Xsc2fF2F<Zn&q6NKPlx2
zV0lJLDG_m|swb-NuVjUt`1kJ+j)X<<QqF5=7&l3tEQKI;0SMWLSno2)xMCb?G#qjr
zkcoW?`42`2Te;OTYaWCMmP|qm;n@-F@X?YHb|4=y!|$})i3b4Q41D9Fh!Q3bTH-l?
z0bYnQXeqQvmxBznlydJYdrlxjZu%$;cz-`f0Cb)Y!+HV`$wG(tciIi}(0|J{(iexP
zo|(gMm7FDQHBO)P9AimtxN-9UTD{b=)R?1lf(MGy#OJ2}g0<*xXTR;N@9cN1m+|;o
z;KiCFLM8~g${CNZ;{JOXkJ(G2MT39}2`f%G`Pc++(uo5G1!xN$VB)}jd}qo-gr`bQ
zOBA>P51BBjhasNc_;_Jh6m`J{rf`zOy>*50;A8v{f#qqR#))9!#C6jrUvc94>03`;
zH*s<*EwgMaRMwn+eXiK@(NVcW)2~j;JuX_+Y!wF+7>HLH#q!``(+jPs(cBDKBbC84
z39-8X<aGtIqGrrP?kw7O<=h9a>}U5W_rVlO7rGC`PSgopFZY2IUxfTo)_tJ2a^yF`
zCReeJUv*6R6VeC|G8FUvOavUszxyk!md5o7mg8=dJ_fRZyQ&7;z(1Ci#E!oLio?BR
zb%OYW%wnf55>Nf8gQN+W)&`G45&^=25=fguK)dEBBY`T7zEI|<#7Z+u(HE53nh63y
zdMb=H%DNJEY7q_tfGr6F5Egb#i>erpCdM%sR3H^XZli#X4s7BmPU0FHSjcvD_|TEN
zsRXPpD9}I<3l|VlA5m9fn<AkSk@U#^r$lGWht2DVDUq!+>E;2oe1jZ;o{adYS!58Z
z`>;LLqf{vT#PbP|84>UKHE!&I#}q~vnftfQ%`uM1jkXED(%CYJdotHRUt%)#%3|_M
zR>r=xpLn%WJ?8*}nLuMXiOuvgZJlTF-ZjnQ=2AN(9YS2Pfu3{6`tdH5Q{RMNX}3J{
zkF9Cu6|sJO?{7te<3Vc{%vI-NIUka86MO<SCEW(jl~KTD^+W;x%zBCG-{Nhd@1TKW
zJibW_T24&=2KV1fOpmY8Wb}li$#4zqEs7@0glqI$T;T@e<qwNsQBHLFK|c^tqSIfY
zbfM@Zpra#QFVRWIoU)>m-pY|LWW|p7gKR$`p#$z1gnQ1<vlV7KYp@}P%tjp{I}pFl
zM@%{q0!KN(P`IZk%#*l&Mi`-(&1liGL@X=in?ZCSDFAF<uzaQ0;0ehvnHbB(b2QA9
z+{Nc?2%tc_hICm|H%aZ#fGMf<hyrjr3Emr*<r>o|Mvf3lGY^e`dF~J|R@!8oJm_bX
znFUs(RL{~Td6bnkjdF`bAVn5p^{8N^`nJr0K=Fb<IqSUOtLw!J9^vKES9V}t@E|Qg
zIbLv#`|rsM9?^J#$fC%YRI)aThk}lkGf?#89qZM+LMp~ozX;alc#YQ&#1*eOj?#s^
zMnGRj>T|+t{zBt5ONYS^h<hM}K2d3*dCGIh*m1yqdzT{bDYzfW23c(n2P{x%g~+<*
zlG3-&*#bhZBv!(dPk0kDd<2fab2tKpGw%Cnk;mQl&`00)0~xmR*JqsueS5uV&}T8h
zHJgn;O;9RFgFeaq_o6|^x5MzFk)giK#*9~FEk3Ju;e*9?VcA(?4t{Pdy%*q8(JkO=
z2Q$_GMiF+GqxxU(2geoF|2>p0r1}Ei&jYIeFY857{;LS)gQkf7xF2X2r-=TD`|m|j
zo*NB!*Kh%KEr)+Q(Ns?wtMKoCR>D64o$~<yeym0JXUzL)ZUKA&+5CbqbM)y|(#Q_W
zvdRu!<~zv8?&rfS$hg0XgJRF221z+&y{2SDq&ULz9YQ?9H<<7voQNhhq<)Gj(&Qed
zwH$ZvqL03X3!Jj)9#S>fIq{RM<aYcK@JOYB)A2nXonnlTO_Js?fzUyyM}8(M8Jg_=
zCeN44=WPd^begyta1t}(Iva-HiQx92bWcuRJ?;2#bclyq2CGQUL?M;#xXd&`%}<fj
z1DOTE6pRp%4#}J$LPYtTPp%(8a`c;Ij3~&3%?h2OAd*Szw(ql)Dq?q$9os}^sDo4M
zWC)FI>PfFArMJQYLJXbrV^g2Sht6;KrrLRYzK;~h{D4B{BELkRxv?j5jp*8R&PX8b
zB-At8NnTcnN4*g-1L)FC^n}1DLfaE`mt<yGJV?7|DW|n27$A=OIo(T&493rO&jk?I
z8DS1xluhZU8PW^9DdS(zDfiLMblP-!;M$d%Zlf`q+@U^wlvDtA-${ru?!J8x{E(AA
zI)anI6~j3@v)+kWug{rJpX42_Z~lQzX&)mvl~ZFs%Ki5gI=ic^bH=2W*^pH_FX7;X
z*!THUpH{N1P06g>s^2Eg8Xly8gh`x&zF5V9rt>(17k3PV2iaVw&OA9k2dA)^N!?eA
z*14QO{iS|ZTM5*kLg_+<POQ96M|zp@bYf7}Wu&)q^yjd-(qY7@L^`d}lj)4`nx^aS
z5u)F!qHZr~8q#Q{|NScWHIpaIxv$esiyz6{*MeN#{egCjwg?DXJ#jWaIxSC^GFev<
z^k04-opXYyWtu-p%cMy>z-R5V)QE5$oP^@T>8VbKKgO3HpuA+wYidIwxw~--lk5%j
zF_3ETzl6?QgH(f~FVz^#@qd7B@F*@u5%EfLQluov!&CSw6PzByfkp^5^i!1qGv|X~
zD6E^oBkMCz2wo{*1Y7_x*2-WT<_jH2mToO@tP<tDX$UFwhk_OY>vbLI85BDuI}}!B
zsbWw_0^*7!J)`)mG_8;Qno5+XJT(!A1oS5@&T61vpK3$l5Gs;rRz`8n%`pNTgW`ud
z3B?b32TwUP9X<pb@mQ%roNVDVAd1HzG%2c%xGZt9YH~jTmDhm5emii2q@^son45bI
zWzFTFC&IsAp{ElWl7qOB;C#GtVZjGn@KmV20K9>BOBb@@SdM1t{_owz8%mPTUCXyi
zx**K@UzBTJ7xr?ZyVUe(OrZU{k-^w|=cXO@SG?z($5*2Ta^^2yiCm<^;rU;?rukO}
zBRy%~@t`$(Lgiv4CuNR4O*8(sXCJ2{;MpHs)9m+d=!0}BCLHhWi_$K~_*DE^C8_=B
zm84inc3o1jlGRCF0k@x6H^s{04W#e2ffcJ7EnYdrs>=QMRIEPChl>;bfWPx?RKhQW
z9JLB#Rl@d3z)KDmUuoNoj;0(Lw%&t@aI>5~P39sUSb@vhi6^rSDK+c)FjTb_c<;Tj
z2nWh3U61vH2}<c&K<PrIOJIe*-Fhiq`j#oHbm^@ey-^dh<6D${SQxG?ArdB%CC5=L
z;$A^ZoUlk~0HJ<?O8ExVlDQux7>~Ojp^v^*h$M93=q+cTINiQ(#OaHe;+lgO{+QrY
zjyU}x_urE^)v|o8vVzeD32lhHpTGyjt|Q~Dlnv*(=t^N46NhgXtwA~B@HhRegdz@K
zM(IN0AXeo(AP)BsaahIdP<b$OY*wlOOAf}$-d$j6_lv9kq`)|6HML&umaR+~hUlYj
z%0Pa{jj9HV8%K4j_i<gRrL%XSGBX!`726-lUx$b<sn>?786~k#k`~KuI8uno_>$c*
zbRY~_4TOeE8Z=6^jG!ZelvBXTPE(I?i1T}#d53(J!VsFe@-EH~Iu$tM<?jH47bqAM
zxvOx>jO<>{S+3WZ{vz#%_s@8)SzXjxL9L;&uv+u<`2$#mX7PD6sDgFV2}2IR%KPyu
z;)4?HOA6_-dLpDhyl#B(E=C6(a|RaD4-q1k<Ab+z|GoI&aRUcl?v+<_W(k7WoNTcp
z0uZp}l}Lax{DD3wLnWOG&D6z+oTfFJ{E)5=ag&C=<wA(+xndO%BP5)sq)65m>Ox|0
z)P7X`nu`oZ#1m$z6G96|_ogGl@aZj)y7Y|6u(Pm$Xj+h=<x}H>Q8DOtgRlQMOo!8p
zH1!k7>8LW@W{M8Zf_y+ncd3l@6L?0c>&f4gVNBnOGWR{0mcUhKl?hqEm@=-rh0^N}
zWeSksktuM)^^{&8n6r2J%}gmIi$tmzbwru@58eIXLlY;H{P+f4MtD$wNkN=cDBNu#
zSA_3^n3DAPU~XBYmUIDEF5rq4^uiUza+s5zETV$tB+*y*LkpE8dKje(B~d{ab%xVR
zP1Tu3Sv6H}<*2I*Y=5iN)G*OdlN$kiuhVQ%rn!iKx>1Hmu>=O<#TNuL(g><FgN$7w
zb*^7A?v-&|@Fr1Wx%AN>pFqfLxB=UTKuA0Q)GWaHL!xKl-$DP2Hm;qc;)vi%g*ZAF
zj}8V*<jJ`?j=9D!c!}twMucr;j~x={CdsTg;w;aPX{Hila`e;la0-x~o}^8bQ8RRZ
z0HT}ZVoE`ISUgCl&)fRfa?R*sPELN4c7N)d1>{vS;Z`3X;?EN7lEWL~-?`B}v!>CF
z<uF$fv^f8!0G>Ks$pJzMvi{i@WIO97$bOBNO<&=G1=+9Al9Ur<zsUXf5@h3lO0E}5
zgqNU#a0OhJEW|brwGkG-DspS#BR)8RD==|vMl_KgBV_nZC#s&ZmcoN4CRm=NlU>8g
zwH5lLd+h6Bwzv|{=#(M|m{nQ44yXKrj{{;&udnjBB*qF>D!Jg{78g&njr8t)QXKnP
znz7o0OntsngpuWhiofdzFO^X7XDD4LR0tf^H~%>iD&7JzkPai3W+{&CNsTgckB~KM
z`mT&MD-Av(T}*}Eq#9YaCM#8mQnu_!e&tL{6m2q3Wd@dw%;CXNUIDvvWaJSdk|KXP
z9rN@t72T7L^5rPBEJ#S`b22<dxR_JxmY4wr39S~LBw}?|u@heNpvl)Qkpx2!G!la#
zE6np9KB5`XCz4O~TU;T!d-(_`=D2$qePkH6PKWahhU|hbRyEiz_%w-`Wujwq?fm+>
zF_>F0;5B;;Zl+n6V=y;x|2-MZlSorQ%B|tcd&|Ry6HHDtm#V<sDkGh|Ido#5xZ@l}
zo2OPOrC-1jBIltR`PGIKo?5A0iBIRpU=+48S^mYMbu34gXZu-AMV1esbRk(5E1QxX
ziU8<EmUXl*tLy2l9Q}Y!{Ss=xgpY{FbV59)A)8DK;(_Z_tW0jzH9!s-2uY%bGQ!bG
zAsKSBDotZjunJAP;{N0|79whdjSY>oN!;sIOksulR$9h!_bv1>5Dj}m)nFR-Oj#P1
zYv;GtjfOpg0k4^ceUN5dj)r}J`|nA^?&ejMWJ(wTGyFeu!ErxC=q$CS@P(<!=Zhd&
zj*5J)A9yM%@?n%Nq#^>ggHaJ3@yb#Wy_KV%S~v9lei6_I%@6)wKj1FT5B_`ZzbE=W
zi(AfGp}4DqXq3F6D8wz8bO0pXg|V2Bt_r*hko_k2uplT;V?D43HgNGm+X{NdI@!s&
z?rU24tB_V~K%Bvnxye>GB0u+}kw?f^Jz(rHt`kI7ZpVsNpi-^YJu?ieReWo~0a2|g
z&F^O(4m!zrwg`L6k&K`8gTsns`~am3Nru4Z^MGXh(Yle0snN5*@%EvSk{s_E?!PC=
zxS#xh%P%dad*>kDBuZjsR3`>$I1u~S;8G)RTzV7r*=<xu=DUmFS`L}-=m)wAnJXw=
zh|B`g=K(T*ZQYPLC<6MR{Lk+P+{OIQ<NkXgGvuQ!C%d-scz4p?gD=o#+;W)lR6j#i
zm=U3LA!dkSp9h%nm%xm47_rn)Si$10%~md{W@YrME93=~smha8uU5Aaky?`Jb>@za
z<I!!F(`I7I(saAUndv3J6HNPyE%7=tjG0<e6?s+5!x4<d8H1`Cs48ABAJ-<KV3E3X
zWF$MReAGJ@5>3@%nYt%_VXGFlaW&YPYI3z>wH}7ur|7n~i{i1mxS6b)l%I{a%O@W0
z2k*|tTN4{$*o`k~`1KBM4GSv>`i4!e)#%2<k5Kwk*nL-b-<!IGv(9Wh!Z)YU&5x)*
z0#GA<0nxVju}ySSMcb$Fb2Rzc2|WDT5&89M&8(lIx9DyNH>L$k-FVl$??-eFTIS`E
zi{c&dWk#(|vwDV%{arj6g9+1VBhj|W_q3tO%fu7Q6F0Y2DK}0?To^KXOe&BF#t*g&
ze?ry6X&7Gj$i{foHa%REAbt+TmmqaAVk><oOrH)ltXgLQ?Tsy(K?}Hn61Xm=i6<iw
zPO`9QQr)NGF{g!NJE}+l_6dW!@kl3{pT1=}bnty#e_6GHzz?d(-fMVP065c7aTi&<
zGx2bwtqgH1-T3m{n_Ls_cW8%?iFTLQ9@k&wD#sVo96|uf78#;eH{RhPwXkC@;BE-N
zf!`agRyTeDeAV!DR2x<s_<?Tdtd`k$m_5-1qY<Z31?!!6&UEeJc+Bj;7?wVYH#$J7
z9gR-2T~&w&!14pK0|&T9hZ@|;PXOIkNXwr-YKK;*;aATz38gN^MS?hl1el-JWGtyi
z)zc2{++h^mN!B>Jjz{EZ(<ryd4S@}`9h0HMXy6_4TX?r4DOROG%dmU08}FuX=mbab
zQ5mc-U+#k?-xipQ>L*b2653V3oYn#m(R1L6>i)up@BHUbJl3|_urJQzym-nGM>pH)
zNsX@FpzRSGb`-V412Z#=i;I=^Qe^wBiXSY@G_2DzC>hRl<4dUq4+S-<xUCQu6-HQ?
zt$03t_4PLavSYz~J=YCANxK=B-9)~RjqX^{Ja=P9O%Gj+L}m@Us1e!SBU|Ikfs;-6
z+LG<5hF|5g>bp<J7l%u&$UIZEoduioQM>VG&nML19yW1nV)b<$ItmwndIA3yKdYV(
zr<wrm<>dS2!(haI1C$wrsC}x_Mi*lsN|6%*{(=rX4easjPHP@GAPK`RA{BIWzgF&I
zt68%e*sDwE%eJfttzB9NuQ*k;nx^Ab%|-+94MZ89iZ@xU(_N_e@m4`1uqT0D4sN%n
z!}Y7U0&>BM7#S`>M?jYdloF_bJ4Qm##dw$YlvF)_jMnDWk73#t4Sv3b9*Xai_HFj9
z?jO+Rtw;_6=EEFhn)sM<rYxqshu?PH;Z3L|?_VD90%!N9bWL{VI_dO$DA9K!S9jh2
zrWE}&bDSBnD6)FmxqCZR%$z8d_CTJZOfO;A{SPXeX3MXfTkl><3R~7`q<l}A7Og<|
zo<LTSGK{-68<d}q%|nFQ-9b%Umk=N!V5oA^I~FqV6%Zb$Dv1S`YiLUYOw8JR-Otc+
zO1VUIK&Du2J-eNFgwTLu`v@t32v0E{%<{U<@&e5=^k*5AvkatJ2EZ)OVb-N#&2o3M
z9eWQoa;tr#d*wE$Wb^JGe7FxGVcFeF-{=x@_bU2E_ldYy(>FRE+r5Uq(WwXS1bw4a
z9CwnwQM8l0kG_#D+`X2*kv*#u@5oXGM(G`OhaBwK6F_tEgowW^C-zSEi6{s13M$g9
z`JN&)T=a#xhpP05*5Zill`HMi+J{sUL?k#|nr|z4vmqV@YpUb=4zQ1IybZxp9z{Fh
zV2^IR<<8{!yRbHI?LGkF3R4xxHMVvLt|&TG97=n<O+98hvQ0{6p1(l+WVAs{G~qWS
J^L1*K{{un!u#W%$

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/roadmap.doctree b/docs/0.10.5/doctrees/roadmap.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..61d29937647ffade6ac81b0aba064cbd9f504213
GIT binary patch
literal 19890
zcmd5^eT*H~RrklP?cMdRKjSzbPH$|ItP{WYwoOD5H)(3eb#08dj_uS*TkCn=o4Y$R
zJ8$M?K6brHT^Z4|PID0@Owt04paKy=3qnGOzfh?vT0jB;LP7`$sX@Sh2qA$gR3U!n
z-nldLK0R;ijcv)ZZ{~iUbAR`obI-Z=ULSw^y|WwSKd~chTef$#YM7?yn><X!Hq&p$
zE$&6hFDHk8F1eP>iiyBj3H>-|@<ePvj;3Y1X28AVG7@Jfe`LF1HLYMvWCV*mFK&&C
z?bRx)2fkspjP}vQ+Il$=lSUK;b|a3^CbhBIHbc}Wwl-ZO4Dk`a$33H^er+@3cK*^Z
zno9v+P<imfHc>9EK8eNF$XKMzi8U$4T-)QxnT=vg+dz+_#M&$->KTc6+oCCZs`g^Y
zgRpk?(q}&M^y9U5;5%W>G$I4P7HpRXH53bLDtj$$t{Q|<5;v>~u{Gq)$o9RAZPvK8
zg-D%6;&^07E-xgBt>+axBsY*_>>|HPJj)YaPbBwIO~qo?W7dP#X6xX*^`ZH=VOTrC
zGi&$d#M+Dh`|y81{@;5!iLD2$!^r-y%5EL9K6GYG_HP0VFct%&Z56xm=1D(bEkEGQ
z<dFd?O%@s9Qh0<lE#6%6<A_BTX8~{fkA!T|j;y%B>@bXZ$lAstXBH3m(a9^HR4J!b
z$}?6JwZo&enkrCj`mI{iXxowD`W~;H08`ItrmD(5cBNjGteCat#HsR~djI;b4Cz*q
z@lc#BU*|AF6Y%!g;!t4dCICTj!Nc^>QwEqnaVvPD&@m^bJNR25t1AJ$J5}u6V4#RG
zIYqi_7F$3}9N3BY@W^8*!FQ4v1i(!x*#Sm8!PWo=MYu+}m{vflD6k}khP_TmA&G=^
z9%OV_pP?x+DJHW)G9eDqPR@yq)dDl|(mlL<=uG>lbx_W*Ehr{u90-3%6Rv0fqxyr`
zL%?U}xnc5vz1W6qfpjAg0nGPJ%iwFRqJ@=mBdbL~R1g7EQUpvjV%OzS-L)aKa;WN#
z0?Cw8w<F#vB#W<6j~Piqwh;I&cHwc>h?`41nq;iPj=3(gJt-xcaX>PbT`}8LB6arg
z6?W|0X$XqIFzv<G5w^nFih&%F&$wqaT#mFbw7o@UczL~y#4S=Hi!uh(I$Fp(aO~0r
z7Cx@z1?Jxl6Dq*7N%;0B4SDu<<>?{v?SVwzb`nW}j72=?7?k~k`l|soI75!AUk9q*
zEsv^SOX0p9#l9vHHJP)ufEWcR>q{E=>HC}dUA%g`LGz66iuFfIMPmZ?=~F>A^i2jI
z{<z3K0;AOQ^-S6n*dnG16GIQvL^fCQ#=tLTeYaTgU^z~+{X5hTjK`e#+`7)U3^?oD
zPB&Z23E^oJ`@@^rMqfduKNyxtY*9io5gRK~p}n4ho~r-7VI^rKzJ*Mf8N)mLc3~R5
zb+a13iW<euG7(i@F5<<?=h|cEAYmB^cIGdnLR5>_kmReBt0ZK3pg@^T4rkNG4I5JZ
zG*UGgP*e@f8Ka6y8?aif&RERZfRZDSPwE&3a)JIMl78q9tOSZY2xx85MgL?M1B9Zw
zTwy(<M=FzZ>Hx8bIrpuJQ#(-d?lp00FjTF7v;LhhttS9UeQ8q^@h$ccd@2e)l{mF&
za{EjsOBD{2Cr>V{R(=ZA7FR1|stmEACg%AHJBy{NtNC5{l5_L8;^xOk;wBbO&a+tw
zY1!>YZwBkJxr>3}g$sVr0(C9wl(LXQ?uD>Nma(cLs|iahwKnX*S8c=!G|eNI%Q<sN
zapuL0&N53%JtOykLoc9Yi5cn4XDy_Ya<CHXh8i`a2ciRQ6CPiwNJbad0Q6CDKezu0
zxZTL2u^fV|J*OZe{lIP-E=yOZxpm$zE$8Xy6;EHyC@#ZOLfcAKLZWS7FWP1cqU={M
z_$|&}!P=W_-H;g#TA%mn8mlpn(^B4NVZ_^v944@^O-#fH?w&;;GPD<Av{SkfL`S71
ze-<79mO49_PpR$aWWoio1+}f%p6RdPhwUx+c!ajepJShhn$>D*i~mw)R!Pr?^^SfQ
z@2p?fE39wFE39m{XRU8!{d{@d`l+YxI<}Al^6Lta?_}^Q14wP&?*}m7LP>z}+nO=`
zP5L4@_x2kFMRaaZe49F?7QFrQ=OoCi%=!J1NYHYMNcdez!eF68A_9h!^PVC#x0nu<
z1&);y_Pw02n-+in`fum9z9UOA=g-ze=RN5EcSoYLyuK$M{#J>)Ve_VN8C*B<TARI8
z?=P097nZN{W{G?>hBuI}XkQkD=G<}U=%xkf1$Tn>P(bQMob2H~!m}H*Kcc!7W=F3p
z$Fr=4Ise<$)8Y8kc)k}j{?Ev~=rM+0I*&RouE6<n)o8WhWAXfmH++97BwlndN2!GQ
zG(9VD1^(NS{CN%6Z`2mJ5yb(oS(%2dXHNCBD`CIHs@-1o8sr<6dZ@QI5oj63yI8(A
zmrkFn_vvokFqZ)*ZWg+hT6F`J-%Df(mF0Sc^-_7ec;2rscM!*mdi#-*{MA~xbpCt-
z-@8dJ(Du`x(o0#bQy;(t-iwl>>C`vw7%X%P#VT<@2Dj$KuAW}z>aAZQSTWbdMC+5<
z&=4!PNyKPmY{qOW^k2TB$4_<jc(B|~BP-6wsl>~|8zGKTUOe>?O-dr^AdF-&(3Zzx
zURfteIj}1qQ!LGbIFgmQYao5?4%j%Sz&ElNCM}BsHJXslSdG={gQDT~ht{R{qvR24
z<0fHLvMUbDd<ARb>pfV%atBGo+#nV2+?gGfkf0dv8ia;J6RIG23qs?Icfu%S5(J1S
zN)UPlmcp*?-&}&cMkQVrudRy&DQDnh;)IyrAx^%qPU56ozj|Z~F}WaH)N7Ay`FWzE
zAX`$Z`pA}Uu$7Z72QbbHl2e06SFbyjY#Cf{w^NMd*25+0ruCRIH3rvRT#u1yva3YB
zv>ux-k+0u+Y;aGysk|GlXs=j@>u*o4XDaF9AuNn|AzAydD0zsZnVfAy+=2Hz?|Y^U
zD#IUm9{XQ{h#XDu59)b7Bu8#F{v9|5lKzJN6lB+Mc#v!Gud))-HTWQU+vSKZdSAYC
z+z8>BgV%1wG9qk;U~Ru0yIAGQk3Kf>z(Xy&AL?*DZR!c4Bg``3s6L48OCZ<?Ru95^
zco4xLd)Xitc6gB1h7r~3#jOUanZ=f&;yc14DC)$X-2bE&+J>i^R7DPFy-{u3YDW<`
zYJ}Jm;JT^*F!!hY3sJ8Y-9PwANqhhLH!|Yhzy2=B!<Pbq^zDNnF$aaDjyeCD4RIOw
zoVH&M0vta?$ujoKKW8oU_yWY2X-8DL`aZ(!1q`q2)|-Be{TaXy1`tb8j~}6}9bP_w
zhRWCG*ba!COMEpQakgx@v2?1?jxp0-hI<$*Wn%4Yq3Rk7rSCztbhz3R6Zz7e(JwvA
z@09N3==nbyROb9R8{1LPa|k7Wv{v+#7vls{Ex|g(_&p?LQn8A#AxWT$l1l|)Ud$x-
z9zs%NnTCjT5|Tqi`rZp|1Awfti#FmY7b%S5E$VUZpO|y~&}PZ?2kFm9g8YH3gcRft
z4;ADuO~6-lEROsZgl`jawS~=7c1Y0})m?^YBMT)R6wrx?62mjx)ev(Q+0LD(Es<&1
z204ttv|mLQ&BnZVXHojT5R;d#&}hhJn+WZ~RoZ}hp{=y34hRp+7EXIjH#RvWgdcJe
z?Y0+j>@lVAl<Y79?4&qWY-|!UG*yP{uCgHZsJl%BO`)<NU~DOMnwH@$$`BJMNyBf0
z9c$yahFKIUT2EG0*ayO>qCf2TPmUoyF>Xaw`80Y?O`~VCNl`|4X)oF=q{`DMi77Nf
zWa{#|j;>-;Zn<0_%9Q1@&JE{Gm2EQT#gUk*?FnM)3zDhBjZ(7f=N0qwSlN{i1lhS?
z!*O!<u7BG(hh?+Oao5CQGUu(4I9y)Q(&(KjQ8%p$)zleWcX3rn_5O5;dTCYokrMd`
zJvHPj>dt~+?b`Ex?3%1W%8dDKQXp7%k<OE*DOr>;PG>-!*dC%)w48y$32EWc<blVG
z0Cp?XA@V5|!b~h+(v8J(*SKEwxOOAJDu=;<h0beHFsH`^{rv6hjh4H&w-Y(^f0IUy
zIp6FWyy3z^3ztVx^4*c)kuFvSBemOW@CcgGc2<YExm%h_6|!|IsRdQAGxsV(s;11S
zJbj3XN#@%S6La6i)J(e&V;em-`NJBbV^yg}7?hlI`_C1(zdsVUNx*zBD<RFy%1|>?
zJbBDCv1h8eL{kLYfMV>QPc1fBW0+eyEnNxH2`|`@X1BKcM`~4RyERvt6EACH&Oc?O
zlrau8)T&^@KcHlpb@AV4E%dI7-P2u0EU_r$bcjKEQ?TVq9)plFNwZDnp&_rb6WHw+
zw8&Pr{1xJ@@1^!`z*~r?<Hf`Y8&sNExViQ4pE*B2*nZ@LAiKbv|H@c2${^G*2>)>l
z2H~5>v1M%qix;&TiR=dO7p-QiAUa64s2mTp8x3+?Zns1U51hr;I4A=i1bzVj60I%_
zr9OaWg=AvC?aAd8>c&opWgPvJo9d(|h-0^~QWI2B2nU&|y^73lIM~hEqceWvPVcdn
zL3e&fb1Y7cN!>F+e@ZX9wLq8y7ROO?O#-33?jgCOg>Q%M*_SGmN=SkMo1;@*kcTOB
z4kmM8e{_~(hz26bK12f*x3PXY1+^afzG*qP=M=ZABXOH_&tq8$se2yp)jb7M?}eY`
zi$-%*&$x_g5|!DZun5Ob<?j4;V8b)fJv&d(w(4|~ZqPFo&)w=4H2-dW#X0jop_u=C
z#>!E|?h_b<=TNc?)St;(NOj*}ORn3@qGt41cR;-meW~cND%e?t<ZLL12WJRELqI-#
z)()G98yFt<<IKA1`kM3BQM|P>%FFPUfX%ZK64+1n0=pQ5dFVV}Fq%;ffIUb4BnjYi
zzH2}W5n@luGbi09)N9m+GNDRVkP{}$GUr;>%`${(`S=tFTt&$;pjpmZ=rx$wg*G>6
zB?VoL1E2^xk^2wZ=$jOP!tZX1-^wYzdD)y;S&TVJ)|F9+eHz4m^%fAj>yjTVEx54k
zQt^|bFE`<SC#SAY=A0avk2&936FEmg&U<Smr@U?>i0C=cG2y3M9TPBDX*~%;G#RE-
z-j!MF09^v{;e=<0yR$nTWE?lY;=#~29ncAn&B`#4^K*>042gUA)ix}&{0yd9Z>-kk
zarbM9^S8wB?V-54Z!TOVaV@b9AVaZlx<@*koLw4W9U`B}MlqA_ovo*rNz9Aw`is1P
zVqR<uc|_p`+_14LyD<an2&^?cTwk%}(-b@l^V6b-=f%V#_c#_Eevse=CyB7MMCc4J
zQ>q!9cJ`L=I+?!4fs424$Zyu^#0RCKxp9Q)g4IOqUhw@0Q9WKr1h=N?-U@_i>sQH)
zrmHe$LPWXSh|jg?8juiG-lx8Bm&-48+Dl#67j>Y;v_N`u2Z&dJox01HaZc;ZCNXIl
zF3z2+*Kx6nU$vt;ZNiSj{Oh>M8}TBVn@P=h<UsVHg)b9PfXEFImD~_Bw%3lMI)aP7
z363UWB90a+PgQWFB@y>`Cf4O5ppK}5i5on?XX<J*O2iHvo$0J)T-K6^16?UyRX9He
zfW(ZdH}8WkeSc>{S7EV}Xb8b53oLR$QzE9J#TH}Sr2&qcc;AGJRm7eE;rPI;o4gHt
zpcxzBm={~%?^*zv;D~Kv4>b<HUrnqnVupe%_573AM0cW0n{lgM&wvNU$`2Hz3E*C%
z3U|ma;I2BxmVau8JU0FM)fPc&C*}$wJoREpi4x4RWgAD`Bt&=AO*^DR{U9Xm<yJi*
ztV3cuh@ps^QVBp!nypT!{pDRQ`{)-MfuoPq21b}_Gcn{-xPc~n1w?nztO9bpMF7#Y
zTXvNE%!VKS_qdp8^L9S*iJa~9g~C^LnjQjY7}eDzD=RD2_9`M*Ueym4YbIZ=A!k@i
z#9dTEb_FHsxC{XU6=7hu;d|wwxhKHcnP8#W)eL>fo4H>%6Zt-_#<6*{Ae*tGmWw7P
zBBOy>WJXqUW}7$wOt$LT^vuqV*QI+Zc|+_BSG~x%iVf+DmW%(u?-(tB6R|yP;rv$p
zl^F9n1f%xIclBC#eJEkY+5_;4VhUm4)qDe&B@0n{DQ=?)y2eKxT~~784WP$w(%L!~
z47*8GKrnXZ+sUyj#Kc@(MOzl<5o)`u>H5Y}owsnM47SYUvLJb<&keDed&>z9=!$Jh
zL|{$=UN~501MpE@T^%IBunP?VE)mx2fCBCrpnHPE?vAhON+5hjZ4228U137E36UVj
z-5T4CP;8|{^=(#ZfCH9k8O~7z5S=IK5z*rndi*7#<IWH0ah@KZqQ@`L<16&I56%r|
zKRy1G9)CiQSx5xuA$m0EQK!dW(Bu1f#A1RPk5=0l3EbKvo4;Y1H)P}Uvf+8z=)7$3
zhHUJHY-nCKGA|pLmzB@Uisxf%H(da9z<SvEYqWs_w1)LrNr)9GD(Lv6qJnl)DJo89
zRD6+sNh&Bvuc#pZsiJ~bvx*8b_9Ye43W&vY5u|cJrkl9cM-CCVuD*~g()rX-7QfK6
zkzWDoR>OBQ+{=%9yFO;QCpv1J(5=csyF2QKS_vZ3V|R7em8NVElaQ2hqYJ5osiu!x
zQRLnwXv?i|{gZrzCWf&vIlf`TnT_G=$$89qcmN?qaB4h+u%?D_-NQ_{iW8PC{WaI$
z>E%y(<VrkxB5u1lT?)6b4UuAl1l+YmS7k8*$WeAMy;JI7x*KXvRBu)U8=2BV*u+%0
z%7$)`aIT>9qj*i2a~UOutp+663^AT6@{PEb1h9rMIz4~#Q>0wgC1DWu>AhQHFpr$i
zQa?HmdE-hdL+sAfj%FV*)%hH<>(c<~vBS)`PT%K5<rEqY$imS)%($mFF9B!jRwlEX
zF<-a|nPk&_6byXrCi!|8;Vh#>A2w{%Y#_3yGP0%cn}QpXHc>!YFVdxFxKah0KUI=6
Id~u`t|5m)9+W-In

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/doctrees/unstructured_profiler_example.doctree b/docs/0.10.5/doctrees/unstructured_profiler_example.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..7ab32b29969662537d3a6e669beebfbca0267490
GIT binary patch
literal 36875
zcmeHQeT-aJb+==Cy*swojuW;iY{Fwx$nIu$HckR<+&GXpv6C3DP3(Zx$en#N^Jd?B
zo_TNbKK3KQC20js%A-Qfpf<FKwg{EBYAdAv(S}N>v<M0kty)p3qD2KNpny;%)JpV2
z>F=ET@jiBTcV>2-gy5CznYr(No_p@OzjN-n=RLLOLpwgWga49)VcT}Rm9kl{dw$&t
zJIQd}uf;9Pi#pGBrk?Ix?o1{lfw>&|aZs~5$qwYG*-o<_SYGEM9*$D}$Z3XUS;0u#
z49vyAY}>j9dr$Jz!aE&n*@$c>G(11Ds=j~8@IB+C6FnGLjl1nAYKKSX<`$jEj;rOG
z-<qqLZ6`9DzGuw^an-5$-dq$|)?CYUyg5}zI2U_i6vVYC4y<~m9rz8WX$2K)#cZ{k
zR@tjI9q-aT3zd$&7u~f-FdD02q4yY#8lk<%9;L^4y8FDfLPJl+H|lTay&WbE2DWj&
zWC+wCV%mq3k%}g*y(<}#6rE3YqlZ>!KCYTc$&8}Fsm2jzf+)YssfVC)vbWYW!w`x1
zzQ;3L;@faNZl^!0X6+J&#(8#A@@8X5hLAlDoKEudSC;ynIN2MSi`*yskUehikE<Z{
zP-F&+R?24}rg_B~f!V+|KwNtQ#2jA&SI!bw&MJ<Y^}Siag&ouWDKN#GRKB&`tMg4F
z-!$?mlG<~zeVctGDQRY_cTVjTL$`GEs(M=%r!pn`rsN%SkA_wd&YgbO&)t649dlr6
zH=L`Rk*U~w4xALu2@dLM0d(xwpSlLk@3L>ScY*plk^{E0XgBdMYMS0+b}0<;Qcxr+
z_7Ut#`IFrq7ACl{;gei=HaSRK3>w;j721BY-uac`7scOuXjl)b#_gNzljzJ&W`Vs}
z=Q&w}mAFasBP*@u(XefjFdA;7F)LWII@H9w3QY`&CPJ$gIli}Mgd_|0L{8Mq%7J9;
z(Tq4T&Ps6-3bq+r_pz1-b_>0@L{zqKnzvt1t9rxfc96XxvNK&q(CG_8?rus8yK2|e
zz_WE6L>>E79m)Hqr|$>r7=m{kZ*h9sm^G#$ha=mf)S4BBhTkwqWI7%)7^XqY7Fv;E
zdUd1bH=9I5JP0E*a>B@|nN7nF49COlw~*v}NC@Lr%M2VVG|Z|WM@DEmbyZP$TFc)d
zh-*K`amnGeT~q`g&G$VOyx@~@`<dPe{XS&>MG$5z*@fY!^@yMJFk2URW7ul7Z8LPj
z4Cf?|zdUq9ul<*J!cqz`r9YCT&c-bLn}X7tiaF-@>yepxH^;LdI}g@Wi_hTA56l)i
zb&HvnctSq~T>xC1MbD}mk#8(oo)wspWlR$fORl%VX=BMTxv(zC)y^2pwo|iF`=S*_
zp<w}kSOHc5^POlJoNgLtu@uaZlTQTLUCWZ8$CBgQ(AkvQ+fyB=`pN8!*}tXb!NCGy
z)Ji*$qgUD?p8glIm2E!#pX7!1j_s$pmb1wfsJuwD-Z*%yD+ixA9tQ;cnyWLKWhEnr
zal7pY;I*c2)=8?89Bx3!`pfi-@GE|jTn&$^$=R;zH2v%^quc+``>X<%@Or%=Gun}4
zUp2<w5LKGk6f$B`?BNWy=}E<jtXAf6a?`!uDi&?iY2iuTm^^;&oioOH`p=4L<tZ^}
zy@T1`VL&prX|Z&0-$5_G*Z<&Ni(=p2Y{&j4GJQkTO%%ZnZ+}ZKu6+-mJ2P+iRTmp(
zVHobtojZ2Ok>s-JZi^h_?k>vMGlEbv^E&kF#VvJy_q|JjU+nb_X|Kiew7dLh+<omp
z-5s~b-7%EhQjhnZHG{`v=nza-%`xs=+G(97?KeLicaIFz?;FwY*{$}wL|P`Vbcrm}
zuAfM|p3Rl^o->TQ4-VA(o6!6Fx7zy~<X(8rBD6P0J7t5m#8P1zlAl;7qsTY5{_}LS
zCJl4ktqe5U*Q4ZP1C4fl(Vq+nnb%2n&a&F^H7OZMc&tS--#Y_C150?`UIA7}>RWZO
zE2LP&^bCONTHGY)qG2|mGypiXoVrtsxE5?FPDB`cQsJ4mn^g-Ik12-mOIEN-fIV(`
z#$+vALTX@KvQ}r8%w}vElO&#|P`@8o2GGp1)ojuy^^M^EG9j!Cs-FR<2RK3w+M~R<
zRRuPJs^CHFhcgE34^8L-uvQ4kt>*Q|YtSjPUKY&y<Uq{&hHm_G;SlONPewCo(83g9
z%9><7GofO&t(wyyb*#C{Q<OD^@vIurY8%`FJYnRXwOO+T-Y6SfeakXEnq^e#dsLYg
zP%{SY;jAG-b3+MCc8Cw46v=390gZ`?SPsB4!IEKyn2)4`WOIS3#pW1-&A^9Lp9DK%
zWXpbV3Ev`n?Qlewtw11ed+aK0wB1vwIiO9-jqexS`0PO3cyopuw`z}=0z|SDL{iw$
zRSC(+BNpLdaDtK_nUr)m9~Z;<SYN||dBy#0U4jwp9C|arh>F#`8P(`rJNfb%&mzG{
zVzM1Lu!F1`?Ko)rFxskgE$m?tCQbG6*r{E@QiIHeP;ab46UFMoQpd`mdZbX63$%tE
zqG}m&2%Bw_*Ru(u%jy%ffKq!6+Qyng<;X{?uWm(FAgww=(G_bp#M+IU^<s_2qO)Xq
zs^@B<y;?_?^44Dn-g-fEN-w561-y@Dcr3>hcRz%Q1o@c*0>$LK^V9Z=f33I~IXI>;
z^i#uclQ}Kb{I*s}I>axCA%1?KA>N%I;@8#MRf{=QfX+-$pAD=iTAiLgYMcPp!OlS=
z4gA;x>><`{;3x@<S;H!68to=5x!6$%=ZJlVa>IfgL@?ykB@60>=6;3x&nG#*tU8gD
z(l(U@84{gHr6E}{+<)zB@UR%V|AG>j)3M}%?HP@pkL{{Z_A#q2u8&>i`2vf<dr<P9
zcyt?^bD-|J|ETG<R^xr^^z?DR1$%r%Gky*#ebZzK1k?&Pm@#mg1@><FOOS*RM<&c0
z^$fxlGnP*9&TH0A@V-nNYKHg9Rtr-+M8$j7ooR}9p#)Fyodb10ozcO{%N}I=+}i}c
z6(wKXh6#Mz^fW1QX484XtTrv0#WQi##;jp0azmWa5}H$wd7<K%hm?{CyOv|si!*pj
zml-@%Y(!1t{%qTYxt!^HE~nI7-q!aZ(s}H^EM|gQ?tc#7hLUgOK5uOi-ZMRY0-7Vu
z-8{_LSYYWCVxHoFjN{PaOrwEpELjawDe2%QSY4yHAKOxOJhhW{DxZf{b!yUgQ)dg4
zeXc;jjR`^v_l%nCHxD%GwEbkj3S=MppZ0rE^3<TyzP@yDS0N7ECrBpXI8@msNYE<?
zoP{SBP9o!Z;LLRQ<i(wlwGx(y9h@L(wCo!#Ka7ALTP@ZTfivrAHf-XKS8K*NkTDh(
z7Mp(6Y*xsc5iTrn<qHdhYIPE+rBttgof`12DGJ{YY#dNfv5N#yc1ho9ThJL&bWMe|
zwIXEakC0F>_#VAtqdI&(d@{I~(YIVTboEM~&el)GGX@#zvSq?3!Wyz@NT8HSz=YjI
z&<tmZ-<W}w0()ncN6+x(=|UZwFA-{$_qIJug-pj}!p1%8W8duz-nU~Z{{Z^+%VwD|
zZLy+mv=~YDHgQG)p39zJ94a!X5^VdkET8s_!RPPyLm~I~D7Rpnt`q1!m(AdQ0>3mK
z9?i42>Rc)1`9jw|wWY4zz}je+Wt_H>te>X~)$^knh}d7+(um#x`L?|RCqs%WQ2C}b
z?3*LLwk7)Am(p)wiJIcE?WnB_h1TCkvue_Dl<c;9CT}@`ji8H3m6Tap3qqr3OD$~v
z&Lxs;PO8=qT3nOG{a>1*areLbnJMxvW9{#O{IEun15(UYs!hLkDI@GI{2yS#L{_d%
z95tRS8Tgx!+iZolS)@8%G$S6sbtYQHsjz2NU}y58+(X)nD`b{Ns;~g7QgVOR>7~mv
zrHNE(Aze1iX-zu#&}rNuJ{?&VZHBo={20dNdZlSCaWTTblj!o4Xq__9-vo@R=(TMI
zo92XdF9HxD|EYBfFg2)F41_-DZz6KwzlqLq2O4A|nc{~s&qN9~awC{n@@r-lNn|FO
zqz-0!K0!mHO8KFnYVon2iY_Bxzf+~la{su>2x7*%u*{DOBWU5nfTpyIz~%ZNRJtd+
z!^kJa&O>>zvkhkWI?xe(y5)Xt1sTbujFUT(-K46ldE$<sV;VH=e$2S2-EG8={BUpW
zGF-TK2QYp`@DzrZuyW%~hRH=XHW%TdD%@mqq!@Q6B}F!(Ub5R-X$Pplj#^DRXm;O3
zrN-TxxgW`}R~5edon-%UxbEK@Smr!FHy-ANGNifFqVpER4@>e}xT?RB!KYM;g4Lre
zlklY6HY2+X<qP`O<ZUy?E#>kpLSV_#B#c1@_Pgi9<aWtgsafsFc!(Q%APD?GRJVQ!
z0ZyqY<Crl~F6Z5yal#x459o<f>1OP$WKP79XcWMwuYpZ=anbSAXkgw5{Q!b>nGdcT
zrKmyo2~c-==}1}RT`c3cy8>mh>W5CWI@vYL1CKm%<`L<QG<KD8{ZlT#fFAC)fJ%-B
zQ)2~2e{=msH0-ojBir}x=oA*x$zB$cTBGhPa^v1bRJVel^DHf?2dKPSQh7i)ne6qd
z+&Osl;}(et4>v2j%BlPtM0o`eg_I+Yux*fRPsUYu0`)5iCB>P0%bK)41=$m*peT9V
zw;*vnA?E%p9u_FSOi93!#fq{Nk|NAKP7S64ETW%P_XIxjW6O`@3nW({4C?Lj{rEQN
zOG)JVjyK5wkfg;7@YG5)S9ii%9EPxGR^TjCccL;<C#I%KQZR{n&Ppl8#ivTRoWX(+
z4`sHpNSPEL6?qnS?8yoEvlE-b_yf00z^n;zx-oH?S^y%LB)M6x$E|iK3(o)!)4}es
zJExQgNnTAu%CGI`cuw<Jz<m^n>+w{w?wbA}N^QzndQHC@xx21u!DWRt?KY6zUBrJc
z=~8|suBIKy`a7f-jBqPWIYF2TM_|p^b>)X45fphZY~V|AK(V-S9txJS{1j64)VZG{
zT93P*rH`Hu&B&+XGr9z;lfOEk$SYLSK{fg$@WLpd%0uvRvX!R--Oz&L9NZ&tT@hYz
zIGVz7GIkE_Ma}YB_&qfM%yM2#Bt$fIU_<tog;!gq44;q`y_s+}ZOAk_2;;+QR<p#R
zHB~Dee&Lk2Y{Pv5o*FsBfRGw=oEE}UuZBTP8IJH3(H&wBFY>0tg(P_J*>D^|MX+FJ
zt|KXbjH{GcOPQ3Xzbbh8pEZZ}<IC}UhPSter$2h7w(%cgfW_Un?`{0Qh)RQP<3Hf`
zH`~T9khd`qd+dp2DK}c&sKK!cZhvNMWeUH`#RleY*I6y-1q8s?b?zLNjo+jNc@C~6
z%`(y^rr?AqJZi9uGipfp@W86E)r2>3)?d27gc*em0=8KlyCu6Kp$H8QA_l?`SLvBf
zX91M;Nlz^?*qCv6cbC;P7=Ss5sy1Cy8o>MymQhy#Bi2`n8|WhL<mLb-zoibUi{xuL
z^~X5?qv6CXgNzi!9MG$q%)8L%GWVK`K!za020-SJ-Wlb5D=f42fu2bB1W_Ir9O$Dj
zICHNq!EokJ2NeB<YF@~~ndE6Y8qR?b+%9GDXI33p-{EuZ8|11%VG&3=`i%yiv$t{2
z+9NMI1WvFl_|Qp*P#^}gM$cjLwQ<a??gK0=DAJt~f)7XUe2+0brCxlAx{^8dddZr^
z{6D5=Q*8bD^Tg}A5J)lC!2;>h0kDv$7b?!{J6YA2)LnUmOT7Ujj3s;3G-!rRle+Xe
zzw!%}>w}z6qoiWH9J@V1=Tq|105EgIFv%MNj+ed_dS8F)d2-5w2Qp6F`CI{<hI1NV
zYq32twzjQRqh-=fy^!*0_5@$j2^SqX$YPDy6V61$#|ow<FJ~7tjotUqq>a0m`<XjU
z-oIRryvOddph4hngcX69p)yGlU9$9K=Mjl=aO<YcL<=>AwpdF#$Pb7?zJH)W{?&Se
z?3}<oAJ%oqhg}L{(!Xe!YN<e};kj3C?h82?r$U}^kbpG0M;hCuEF-=+K3^nLwNlUv
zJ}8u}mdOl`FfNr;irqO#@6r{W3|1brdcHtq`&wnkN-9@)^h!{@c6}meMz~QfjN^9;
z<5*vu;TVGh%4}F+Ik`v0kr`}y`8plq!!UtaWbVw|XG!p*3-Nmslb=P&jF=q6JgbUJ
zL(CVilwS8G%*vMax-Zhy4yM<Ap4;D4ue$+$2c%E+qMU7Lp;abYWo^ytU=qVjLeaX}
zI7cqWxbLE`O(>B>*artX#j5C#XYxs7V!F&Sx$J}$%OfXe@>V!uHbV>M<7rB+;re3*
zCKntA;RXzzo`)BJ0mV?Xs%0NFRL5pmBP$JR=k7onw$?PARTI_F%H%UxrhTBo=k*xs
zV-x3X#ITt_M{ov0AM}_$#fkpKlBzjR7dBz1x@|#PP7SV=8WVh0R*T5CjnSVa^EL~7
zVWC8KdbM|7xXL3}d1T!)5e;4#T7RpX)Ei9y{<mIapVq(s4!OJP-$D-Nx0fFD@BB6~
zsQ#U=<<!@6`nOhrXQlkh1S&fuB>}E!3+-=XEu1vn4YcrUA8kX%lgO30Ob5d1@<dOl
z`?@_0xqp&A`qIP4bP3kO5sPD>lhi^r-_I#VFWhIX`cSXk7=G-6S{NWiX?lY*_8df&
zfX0pM)#Bze0p1+sg7!^m8Pz=|QVIWMIR_y$b=<@h>1G?Lke$e*V#0(qY#b);>GOU4
z(3qo}`r#C|H}nkWjCAupTS}`9KgvT$x#V`iCAaB0@5fO80{}WT&D+BzKfF?a?lcCt
zWkB~ZQE4zhcaq!R6wuLSz?+S?BRU0JpCk{%Y=G!Ie1D>6TRg!%U@7?F)U4S%R(d*$
zzu90>lUqL`4uFTSp#(IKmhi1Y-+G0d>-V877NrUoI;m=A#B<(+vo6m3EQ@0-&@!i1
zCGerIW%^H@{HwAu5s>K-;Z{HeC6+SaX++KmN=KH&-6oXQ2O_&V$ux18qgUl5YuU<>
zs?kmE3<jxcy+|Josm>sGS4br!QQweC$$6o94+^RBwVXbL2&8FG5{+kO&kDm+m;qJS
zvbZ1^Bo{6{+~913aLWd$>d<K`fWP8eP__1fo>BM1GzH`CZ_r0ynCe5i1YxSvV-$IH
z5c@}=o^h&2J8L9=ug0V(#JB$831K#IeaZufgu`abf)^hy<I&9t1uRwmG9oPELLWsy
z3J4%+9baWYd?b#5p#nVOR-T1BfGM6rTXhj)0O!gS#F4|uz%T%>Q-oMpSh$r=LU3^r
zM%knIDJ#AM+ll;o#JE*`y?tSUZEbX^?{{ADW6Rk5egrxTHvSXMl--VK_V8ROTj$PO
z)8VmT`?Esf_3f6KV;E`?96OejQXWX_&82SIzlk212d&+-F_)!1;E{cC@R6mmtQfJG
z+{om;pVMzZ3~E=c<n0jzw?GhF8AsLc^OWUhw{H)Z?-EG|1J2*(_BRF2U(Nt$4VJa=
zVI7a5^O3FNR$0Z_tRL$U#xoMPBmOo7pF-?uAT8X~LR6KsFSl>KFS3eUUvB5VkhshN
z`B2#~*O9dZ$hH8Q@95QSH*4DL12kWqV0xtjTby5I6RhDCOW(aiT@>}f0P}8CwW-w6
zfcZZlXu1MsA%XIuy$2hl67X9C%=ubQAIk&2zr8m!R{fY!S!m%Ph1A`Jg}h=7z@=OR
z*r*`#5Dug84JN`+rq2P>D0EPBmHb=i{;Wx{XS$St=}p`tGRa{<1}${NF+6VKg$@pQ
z$XQ`JG=Vwk1Ri%RDT*c^D2LN3<o7bE=TOYyR)bR+jrOkZHn4P`PP#wGwpyk+&p`9M
z+sWazv{3+OG*7g&E#}IfE>xS}4-0-F%ISpq!f5AkN?@V{ku$A7>GpKfk!*s_9^O)a
zXZzxe%uxC)xYbc!+|np-Pe<7+H)n=ANa-%)&BTPiVZF7YSahuWT1q>`tlI8}C^p^`
zz-xy2bZnhfsU>u>UXCs!%L~lH646-rzU{}t4?;$!jVDT<?`Bgt)RIO3C6_idDG0TF
z1DnEi_d5;wS|bi1c|R<aYVx{1(}Z<DO0zcZex$F-qe~zk)+N}oFrVKb?mjN`bsS+d
z5haWyaux8DuKdflHL+~Yo|Chk6{qT{gVfe4Nyqp{VvK*Nd)&ua!|AicC~C0a*3{||
zpQG@|;$R#hH8Eh!<`M-_7Lo1{ut;oS^~~&4t!UZ8?G9XCm9JZYU`Bjq2UcaW5tDHl
zPFFBOv!@jVL_4(Ny05(X^eyF=sr8hqpAuC4^MR=PNS><s%YV<yRRO1aMJ2uocvfjX
zDwz)i^ff<Z$4y}}trc>MRGGPy5*xP#`3j&m0i_L=Y0f6oeuygcUA|Xv5A_7GQ2rcd
zr+EC76^V4QGkuLy=IZ*8xOCe|M)j+ra8GxU-b_YzmGoNw>GS!i9LT(=)|bGnrz=;?
zs_^e!=+U=T;hV(rgIN{6!R>EmRY*R-7uaz8OYS%F-n{rl+HziMW`v9M_+^7bC4}US
zDp}d1`TR(Zy`k2Ly2ZuXHRUwdzruQz=k#m#uI2OrFQLBJ%lvBn?Yqd`Reuw6og#uB
z?{MVT!k`Bp`C3jl^VlQ{3T7Q|mH|V0mE*cB*I*x_O=)9<!rT7_2xa`7xkQqg)DW^(
z@pt7{qM*vgne=qKZ^2Y!Q@)cvGAh@Gx{*zo<%ll9m?a?0GRSF2p`MjI_6g<@A(i7J
z5+)#}OKn_64T>$?M2HGP?bC`Wy!3?<3&%v?$ZE0#zTs+4S}f}F;2YvOZSkrIxj&_d
z>E&oTotM*MUQTH$_k*)8(>9_AyFK&rOIK_gu`$Hrw%YeLViBDN+eWI~{$|_Ag}+XX
z)3k)Q>cfGp=cIbUntr*OvhEf@7q!RsU@Uxgs1VqV6aj>5xWvbRhyx1)%p@^5-*9SE
zNPN8h3I<0F>dN$Vl9DLk!?B6hs`A??w=Xp(GUji!lnmZGsgV*bn)JP}`5qz`j9H)T
zT3_GRXuYvsVO#Xo`Fxekr<R!v(x2`oO$IYP|3WV^MMD=Cxw}FaAz%82E=qiF&GekF
z<@AU1yX*Jf<;eHLWZW-FNUSyX>f75wJFg<tuoPe7!ld>xXd$F8!WFVtCpK6*!NNt$
z6LEkIH&|N>ob(ZAMzqHwj3W(GWD2r&;FU;F<Pq*czB~!R`tW*5Z0UsM>6ILOVG6I&
zS@lpooF0VEFS~}KBD6#cZD^m*AFn~{)#3gDvGch53Hs<6>8a!Hk8VGr`1ln=6raTq
zw~Q!0Lv$JpQGA-)-xN_igA41*Pc-$?q3t=;caTY$5Vu`R^nhPdj=lFWj@49j%S=OK
z%J`TW_fhs8y(qL<_2MYhbFoA|M5=1Cld12a2sB67qaq8Gu_i6AKDk*SDOJT3!bWAB
zJykVRIqU=Y&JsuAZ|;yoJqc*7Ph!wQmzJHFni3t8`SU;|m-8{_q6n{7G))bHEQq2#
zoOE-nKiRb++#*uWPTUH!?W8kx>x9BwpayAi3UUFxfh2IiA`JzBcYNW4m4SxyaIo){
zO1Q492nF*el@!zy!|4*LLqfUkeWg+sE_<!5<JO#+aKlOl@=<uHP~p`zDOKvLYx3%v
z+{D@bimyqHT^QMawcD;f7_$FLFMGR2_Mb!UuE<{O^REnK|2IHWX-^Vq{+q>KGE2J)
zY=pC>Iz7!eWRGK=D_bHd@xqoUw~UR=lw|SCv^e%?Ccv6%Dabm1kL7IbvJK8r@BrT>
z@G0M18_70ObjZZ4;1y^!gy%b%T(83TR^*FQDzz}|JVQR4JCo6xc!_vL=ATdYs}zc@
z-kDE^<sIa(lUz%o79yt^mSO#%%QtldE`2Ax_BBjn0z31`h*UHD0Od!pW8z>7uS>y?
zeWDqP+kOc@OY&zNH1X>|<ku=y6XqE_MRR*_!6#VlB!?TmA5mn!%)?VVlLHhL0xyiM
ztWZFa4pK%bDtQ}0$XhLnXM-wVCsGg-k5ek-uU+9#HRv*0lm!ra6>m{Q!hV5>L|pdH
zscVvw4exUGb5C-uwSwag3ZEW_Y3iQ3RgD)>e013iJa7tfzy{kw$_P#oYZeWv^Gq@-
zBGIas#B`F8IBLxP%xvf^c9QY@!wMqE`auP1T^*irpfhz9Z~RUU%9vDXEql0@PI6=6
zNudh&u3;?KQBm*O(&PCDg~G`p8bb&|*&q?UQLlr5{xSwND2}Mm$u*YONv;zi&nk6z
z&Qo;K8p0WZ4nqi^-M}zG5vLC0n$>VtI`&X9YQ~XYNt2Rm95B@Zy3&iw@_hN7ijQ&v
zbX#)tZ&J!ZP62hjkfuLP5+~V}6@;{&PYxl%HR2qC^V5>dB{hU*c5oG+S@a+dutK`D
zkAcWu?o|r{3ur$ELr1=>a--4%GFye<eAv0zNyg|K8leEz(5+Pn08IJ5z+Bcp!J^ml
z8w&v47r}`9cKXi4JHGaxdy>(%)y7e=a<D)%`zfVLQ3GgsB!-H7vAn!o7U!mAKUkcr
zTT64u8P0W**H8)W3QFLd8kZ8V_BzQh(r4dz+nu27Xwaw?nxT}mnQ_%jgg|#;*|89}
znwp{DC}?6NGOJic^~mm=8cuEmPqq-URxVH7eH;rChdi4cBKw26Qqjk|h&JBz@fy}-
ze~34jMwQ27tZPW4<U0N>epc{;2vd^wMtThaUj1jumnDG8OhS~t6t~gDD1;JTSPl9M
zIq)pF$FEV8p;Ry&CQ%W_)qK7~7G5@8$68%QTef9IsO>d12>VMFT$**773dlP-n_v5
z+huu69h{RT!$L%0O@h4;fR{rxR3aQ(!>fdt;aW5Vc8MS<!3uS&LC4w2;an=KtCWn|
z8v4f&EsHv5-%E+&`=ouheV2Qf7H@8&m`yhd_tVgrlM&G~$e)gT58XM}!O~_qSekns
zIe{Kh#q`x~_tz+0-#}9Jh8_3U>C{oV5oOZLwDD)p@921sG^37NqJGNFlQ&tpd18}Q
zn`fMi(CDa7G**o786Ms|4`ZJDKF^(<=dR6jKjvL(b)FlTkL?L6c$a;LyNU+whWi9Q
z_%$l-lk|<E%en8SZ*<Syy-eTedY1bO^o{&Z-S^NpI>B_GqHkmnjFSUdX6BhVfOx6A
z@@d(K6p~pgpP2G&ipU2>0Q0x1ep9ax&U$?zQRg1X)i|PB<wA#Z^<(=9BHHg>Q>;rq
z*^!hWQ90ZeZ5{h?`<sHof*rA|;;ohl!-e$cK>PQ09)V0~n*pQ@UKtYNg#w~MEm(8O
g`*bq1|2_pM5VxH;zl2w=`tZ3$L!EhoDsi>^|3sMno&W#<

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/.buildinfo b/docs/0.10.5/html/.buildinfo
new file mode 100644
index 000000000..ba0d7425d
--- /dev/null
+++ b/docs/0.10.5/html/.buildinfo
@@ -0,0 +1,4 @@
+# Sphinx build info version 1
+# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
+config: d0a7fd88361ea4747fc925205e98dd9f
+tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/docs/0.10.5/html/API.html b/docs/0.10.5/html/API.html
new file mode 100644
index 000000000..a2e2e586c
--- /dev/null
+++ b/docs/0.10.5/html/API.html
@@ -0,0 +1,294 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data Readers" href="dataprofiler.data_readers.html" /><link rel="prev" title="Dataloader with Popmon Reports" href="popmon_dp_loader_example.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>API - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children current-page"><a class="current reference internal" href="#">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="api">
+<span id="id1"></span><h1>API<a class="headerlink" href="#api" title="Permalink to this headline">¶</a></h1>
+<p>The API is split into 4 main components: Profilers, Labelers, Data Readers, and
+Validators.</p>
+<div class="toctree-wrapper compound">
+<p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.validators.html">Validators</a></li>
+</ul>
+</div>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data Readers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="popmon_dp_loader_example.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Dataloader with Popmon Reports</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/API.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/_images/DL-Flowchart.png b/docs/0.10.5/html/_images/DL-Flowchart.png
new file mode 100644
index 0000000000000000000000000000000000000000..696eeb5dc8e5b8d10dcb1afd7d6f165301904cb6
GIT binary patch
literal 7609
zcmeHMcQl+`w;!U5P6$SuMDHz37|}`e9wJ)w&d4CcXhB4ch|Xa27Cnd>GJ;@6PohR*
zwCKHE-uL~!d+(q3&%5qD&pFTDXYb$M`|Puxv(~frd8MbLPC>>@1^@skG&NKV006w+
zD;`EdboKVBx6rvF1dfW@iU2@O0{NK@;nkeOPQySO00`s;074=FfRigx2o3=769oWP
ztpNaV8UVoPmDQpzccqB1H`8>`)&}rj@gx93JX*kwD-Q4K0pKwMuDxAxfQNW2|K<(w
zc>lrR0{~IZ0D^xo=2!H(SznE7o4@G|B;J2|MB@Jojn|93@h=_#yFvqS>e7x^gw#vp
zu`d8X*>gScQUoYjuDm^VHZp^nX={P)Jl%zDo_X5Z3;Vl!U0VU<{J~eOyFJu~!{6P_
z!x!u?&-E7qe8pdjMYuTrf<Rs6xy-cnIFvno>^Y=_C51(~AY>dI9CAL-9KZ%DYX6vD
z&E&b9pinQchzJY@6NX6$d-^zvh{?*ziinDfh>HtdA%uJbJfJrILLR=Lzn%QckBYso
zosY8@)Y;R6<Jzx{t*0MUo{Q@`(7)T?>x4Qx{AVN&-+$7&N>JolBO)d&D)MjNSEh2;
zQn0R%v;9@%YyS{2xxbMAP4-V5Ig#t&|79_MXZn})Dpd%XoXEeo4ML{X&GQ%lU;%5Y
zC>r_WZDf(AF^s22Qr$0!9tl~$U#r$dLE}9a{Yc43(vBNk0HH&_(z&TaoAO~vliTi1
zx_2~Fff$A<Iq^0-u(!mUg^=D`k%mT!D>`IEFl?P-@N~SgyQr<H<rEvV^8N6Xy}jzi
zno%}*SsszyF;wbH+U0=HZT-K$j{ry{odNb<G+G=ip%?3J=|WwnG4T%w?*>zC2)4Y5
zvQ`l6RvXY?Vm`Jp*AoQ&yd^7s_-B#xeR%#mko)T|4*FBGLgo>Y>_SB+Z=XFDXjDz|
zl1)*db>~weNn*#+eWQB)e)~DYZG|3}rKqp4?7d^E!#Y>9I_e`w0X6*Z5-*>2{ia8`
zi#>ika4T<D%uXq}Nc(l^l(4HkzJx>MduQJfy1*Ku6mfjp<q&qFQ=4B!LRG^@HYIuN
zMTEWLw5>PY88RApO<=-R4&}Spq2*?{okMpSujg_+P&w_ui=@(GQkL1#j067$(aWt1
zCAHVRGTs@Y-Bh2H`-0P``Pw(AV`AASp5ZG9@kYj@AhX$hX@N%D+k7ds?CmlUvYE=!
z>am3e?vtYgTAc(t+<I?8(H~vc=(Ibp=UN;uL&9yzSb5SzNYg?{-`>I_?!~%zPEP#4
z@_)1m#*ZFcjH133z(YvKL_&W*^Hiv?`g}LJHS3E5{xL0X@YRhGvU(DCMQJ)-Nxb8E
z>ph5h$a>U+_rKIT6~z=hAOgxrk<4-o4^C5(MOFsC%R~?VM)Nn7dV2Xd2QFfDjwu)2
zPQ{voLHOrC1c6(Aa^Ty1qTp+s7e291uNcm3kJZPEAguC$fR)~Lc+l|~4|3jL%*ShR
z2>pUw`9asV+|s-m(`?)ye#)4*D$T>dm#nOZfpi}L)Kjfp-uLew)jzyn(lpc54?(zl
z5v&UFnylYc4A!59);K%`ncUX2yZGT0{&T{e(+K%n2KxGz;ERgIQ46!*`ua3V<tFKN
zJI+hmnIBBwDwJg)#?PP?{dqf65Ow5MS5mu3-~c4Wz3zkDPSS)E^=b?hw*G2`*){1M
zz29_lEZoBwfB!kl*YB*|wBYy+7db5mru=S#=aU+FmoM@BL7LF4OGz+(oUn|rH7WY+
z_{g`Kno?FKLfReTS_izZl-4DlU_apB<p(8^e}NU@2L5!6GCp-aiKT9V**R|l{xJN>
zeA1ZBGhFQdLK@C=E;#9ugKqHoHPd&%C@fPpe9Ck#0jBg*`qo6V{hmG&>59SQwJPw8
zo6QRDJSc-pYzIt}j9KV?bTlS03<#UaEpOyHDWzyyV7k$~I1W^n$#9OCxJY@{DD7Nv
z%B<}LU$3F|IDSkL#m?LfY;p{<!#b6lMtPkdD*G?=QeR{yb%#QGQ^Fm5p7?#Yn(ZB!
zP9}lsJtB|!{-MU>!z;)^Yr3mcH9fMtRqa*L)%yP2SYW~6((1z&4RN$kaWDg)nM+0k
zE1z|vD!+}mtsc6Ws8X5PnP0oD@nFHuMmQs+J{NKimyww`5x(Xh$F+~_`DEUCPkAS#
z5XzRHf8NsAzV<<UjPh>Lt_hc=RX|fhlUsi6np~XOc&dQ*FI_>4>2yrAppa0UW>w&w
z$%^pGt%=O+&wH4C$%j_VO8ZZ0Q~X9Bt!OxXoLyg|xtI72L7w7%W9l~<lJ#TyW?6^Y
z+sY}C-zQb)LW_2dK3VZ|JUTqGZXA}&PA4XlM)SX1r}~0{)x+SY0k}FX^xc*IY6`5R
z=bM~zIj|{c;j0E3mld?=n^FWf7AX`Eu{1qitJ69)W(O7%6Q`sglI+XX-`rw1*l^&v
zjZXb7cBk8PL$*QgL6hR*Zz=f(eFC(HR%qK1Z3mvU%2eh3jWSBY%x$ILzN7qcg?!_>
zIJ3su@%mM~#L+P)+sx^XVEGNz@P?TLp{ws)64)BQ>-WTUXfC(-t8JRFagZnm7sDIW
zW=8B&sZyslsmH{(9>yyFK2~M*kbbO34b;ywVuf))A))+W0zM7?t*^?jlZNiI0pn(s
zstfKqF}F~kQ|_yg#lKF38wA8DkttDe#u?DhLuWRTO_<yy{37#G5ioFJ6mwdA?8dJ6
z5bgNs0aV-o(h}KUCC&?2`^LlBP+yf=xsI+yym-ibZp}|;+qb;xEp)m%;<Ba@U}f&N
zp;-{W==_s3CzhVNsLmK^U@_Rs$t{{al0@4!NH<<Vk^Vr6X$n1}3AMQ_hSF07E47aB
z!AV%NN7K)(P@yM%Ht$PiGO?*xUR#8?uCT?2&vY_jMNkHKJWmIRsgx~bG?AWgO(FS$
zvdK-i<p_hKK!+X{T9dtN?k`wt`zkA<KLMM5r~giZ?-8P^dcG-E9QVUCvC5a$UN-AQ
zU~ZrO&+XOfJ?$rUy!%Fhu&Qdi@`<1H*q$QkqL8l&&1;3x<>SqKoxn85DpeqB6lLCU
z7s6rqx9QLDt-Ekj!(v^9I8R{LUKu!ZN_w7MWT;zLrZKB{=YaJ^|ChZNP<W*?u+X*N
z?-m*-zqqxqr+DPesuza8`r}@@(2JZ44~F28q{0+CWhQCKW~EOvE`h0m^ZN_TD35kX
zg-CkYzz}+=V>!<b;~RaeqF_$8?8XU`kXlQr^D?jF3_6PIq+knemReJ2MK+xO3deS5
zba~t9PB)@E0dpP=;RolmbCaRSZXI$ZK`1EHBu1K&;?a)Xb{fAhj)c`II0qElqMOPb
zb5Z^whJwWEbz{FTt9djOZV1KCh@E|4rM73W072QcN0}hq>`mn%Uz51G`*|4Y#uI|Q
zngYGp#~VrmR=-LH8Z2MF^0--*4>+P#v<5KDvA;*)55;N|h+?T+HNQ8JFN8L5p24Mn
zH|C_ev$~fVy^G54J4S+=cC#T|Sr3$-bLSG1Iy~$sb>&9R3>@!JS#F-4JHtFau?r6W
zh(j-G{DS9dgj<g1+z%bn#9PTIbd$BY8Fxt(AILK#)=W<IOvc$f02+mO?MwAptX2P=
zBOe+*G>J3o+Hj~UKcl)kN4VaRvDu_QlmyRJT0WB5S4a}~L*?)vx=o#tH<hpf$|k~@
zEL`aj7Yz$N<t{-!3p%*2LSZ$ZO&+_i4w<?svX!FTm&~w0?vd;u6K-C9>$V*il1qPC
zs>xA^0D5#dV#`w@uX060jhe)<Ekfi8T{q(FrWKQ7VJ_K1)MZS^A;khR^yu?j>Zh4>
z-LgL=0&u&2$y?-SE_)@^vsvi*dHtQGEJfm==h=}*nu;{ZR7!=47LD^V;k3(}QLE8x
zYSo~VP+pF<fde^7j*E*&jbv<ys3jvb(p%#qyjrE8reLZpTUUjO>*UQAA&P@5Id{ZS
zwabP2`&#0|%AdoE{cBt(ai>em5}`oW(ntw?ksf6@F7g600dK4ufsPToE0O(R&x4Je
z<2;~uu+9CuFK`C+1VT#213C!cIV1Trb|U$6xI<s>k{Gt9%10i&)fQhF09<aecuo%3
zX9+VS<}aHUg^`2G$=IG#_QjS#x1xSXl087<y<l*LRptRhUvQ?3Yj_BTE`BFSmXN)7
zn<A%Q=%8{4N-MO*jz4!-63ZfKR{TL4Nb*5pC5F9$TOmwWcJhL6j_SAEaSxsV$#a<`
zwTNN5G?V0Da(gDl_XhLrJIZYSjc*htwFHK3<DIo5f0icfOdRO%{Mx~298h38H034D
z-3NwFOES-b+3e5RS*>kv@4KX?n~dL|K$ty@Qa2}-Wix4J>#s|)pjw5AfmyZHC|dfN
zdx3~2B*`Ag1msK$tauX{j^XuqfH=cPB(7xV&Qh_#1cUc=)AxLbNf&<XrZ+5dPX@qd
zzTTK}I!WFXU;kXqV0QW2br3qA${e%`Z_CVr3P~6q)tF>HJ@Rv4&dH-%d)FL)IdL0L
zBg$7_L}in~@3z~HsGoF8YBL&SIOLfBlV*eYU0wo)M&lhTf;yKm-`h#>L>5f2V7efR
zg5xY8jzZHCWOrflVPkrzkIx<|Q1T_ZDS75YN_gIsUXE?=y}&qmvsuif1SM)g;;7V@
zFGAf34MN}q8!E0zs}B)C!bvxKGy*j6E^<@dzQ1>=?dV7Uel%?SSJBgOu5(3610$Bw
zwghh66Xj(DlSP|Va-6%Wg`s8}G5m$ZQ<5jzk0FQ7zge||V%kh<*)*u%I<MAQ)(tK%
z5VVW$V4-FB)$35!8UgewZHDc5pAnvkeWJ6=9&Al~G9Y>H0tE|+z)H0RTCCsUS2hoj
zWd5OX?D1Gpo;SHDa+p)pCBx9LEnG8q(7iAuh<=4fPq<AzD6O+}WgKrzenB)Mu-<--
zYh0N!(zr_9LAT(d+`<Kt@oH98j1VHF$08#d5qvHVQiz+%3FMY|<BAS9w-p$09#!Q$
z+jv<o1>qR&X3=gIKITns^s*sg%+kGlh3Kn)Q*X#~#)z1TK(t?g$!|qHE7JWwZ&&*q
z3JJ_Dg}rSAgE(?6VjV!{5`&80Qggj^qsT{ag2kSWx!>ZYXE&N&w`3fYBU}@Lqm9T?
za7`qLXf;R6DHEw*45#XEQ6HI%RLZRylvh&V5-suVYchq-<<{l#hS-L;xhKX!lg}9p
z9vElDTZQ9BxeT+1RQEzl?a@tj6KgsLrsxP|h$+=ZxpMg=Qij%S66>Eq^wpls!+ej+
zf(q(w1z;j%NdJ()>5sFtGMG9S$Sw#eJx@Ul6haAs=|!FlAL*fVhNt{imbSnZW*ctw
z8WZ7N9n!TjzJwxG9>b>M2@pPxK5Rxm%injBI?e^r^ZX=|`a<ahl|lg9$?k3+r#BD%
zSV%^j8IyWsxg%WaBmd^7OI;izx$~|4fT3`g>`agEc^bn}$L7DRW#Y7;r^*s8Iq+S<
zz5p`w;_Pn0F}l4M>SDi+`RfR+78lfXaW(GwhFJRiFtb`Fbxmfxep0E`(P+KR+sRNN
ztbT}F47-3Oy6Ukuz%uJGs$iFxl0%R3cPn_7$Zb0ebUYib(NIOTrd9;fKQq%`do)7Z
zO8ANAxSe{Nm(7pCZFLG-H_E7D7(Y6V)g?M<#>vmgHCm~@9$}Sa<C}tqa3fPkrZoae
zB3`ZRKDqO4m0m%q8Y!V?{HZCQ?}t_0IbdIHRm+hx?#^jJ0;W1qV^49<6Vo~r?6%#3
zvs`j^i{i{al@6qF?m5KkH#taOXHNoY!!9ryhq}_-R(1$HEgW;~O4}2GhXt5-MXC+V
zz7+2n%p}Y5Jzu$T#<horjJ=BtdaYx3x5=DpXnb|Ntf*I>tTr$;Eml$ryxvn|zLh_x
z<AN7o<RR5E=7PB&(8As|`mrczw7(#!5`S3Lp7RNYuMYW}<&nfD)ihAMi*3NY?4+V_
z%M{MkT}RLt{H!Hn(>&UjI(J_W`4KXcUaD?+Zlrp=qZ>Z0NgriC-dqZ5VGH6+$eQ#S
zf}_5pd_)I9<!!M3DLbVP=ke4RTk333u!CB>&~|B$<l@=`p50Z~^ut%#E28!9)yN$s
z&%d?aTTZ%QUMYz0VchD1&3=jHXjnArsvQWG3)sSWAKyz$S<R5W{8GF<lk)>aA;;_T
zQjn^G#ed`!qV<7ptykyH<kONy#Uu-mqi98H*q?qQAi)J~d)P(97zV0-8AZf7?j)NL
z3#|wn;YWo?QDb1LpiX-?hCU(?Vef66_Z?b<;*rK)&YQ0uMLCF@t5F`RWVN;G7=j3^
zt3ThzZ=jZs0?M?G>?Ms~Z>p2KOV<VwG{mT0zH3+~u2C?}s7m>~M1Uo?rr_tL{7Izn
zmhu;8js|@q7^5hsF)0h24^%HnN?s53I|86x8kRRFJ86h-tJvYrpBj(G45epXb}W_h
zoC1Fk4Uh5xJ3JjC{L8SU6&cvE6|ywu{p`+Q!ixGGT=t@5zj&U!e&~)9^y--Vte7X0
zDmx}7^dsl_3==0@zD3Dy2KQI3n4in3mb;vK&5DM3H_qqCwmwHl1^&)`;>BtHw6)F^
zTK|N}wxRY8)9Qh-DEzkKN0~}bD|kZYan9UM&MCiIgxsKNLFWhX$x06+dck*icVzr!
zr%c$&$UX5*W?gWSbn&kK$zb|TKefdH>TxdMxtwx=VBD?YW3o*oJF>c<ZZyW2aI6*a
zb+oTxFXfy?y2+nN9dd+MR#`n(?;{|i$C+28CZd<nm6$0^_Rz7`c&pF;$J#<BPJw3Q
zHn2SCUfxi2Fo-PUu%<BKm72qHO>Yzz%U7#2esh^!!^S-j=JZRc+sbG@EFth&FFJqo
z$h6Z6bal`UUj`Z-6Sgp5qEzvYA2yaL--CiO!aS6-M+!+034tk^ZVVik<SR#?60w;e
zLXR_P^Ca`;b+E&u_<GdS=CqO~{Wku|@M=GI{@}JWd}V<!m2ZT53g7F0r`@sUWpdj8
zm7w6DkB=ReCK}<>LWxNlj6F1XY<e)GapE(yF|b^&IXTQhA03#u9K2K@{l*z};1@Ot
zB;crgK7PMH+39T8nO8gW`JHoG51vYwwuJZ+#$!tra|Ko{(3kohr)TB*>ni>Es$x5(
z+t9ER&FEDH%HnokA;@bZv~u6B%E7+PDKP8l{zv%Zq8~Fdm*4}w2W9KVYk4j7&5E4N
zw{HcBj@dG5Te+x|=v+Q>6uTRL$=kP~e(KS~Q{P{IBN)~BeERPC_h^wb{#}TEhvLUY
zA2w8^FJhi2)iUFlBHyH>U-E?Y(w+?&m>91RypQit1+h`x2^uswkDQbne1prvKx0n6
z=3kg*A8a?|-#p`C#QSp*cr)^gvEPkDl|%0PK5pA_yw-e345LbDByllrh9c9+W<aHp
zk@KX=Nl+`dZh&ZaMF*u$u^;#F6HoriM2cHVY89tzc-1RN&;jw>>szz2wymrSt(f8a
zM#1S=G!jH}0VM3bqi`lprqf~li2YXEjg28`S<}e@<AZuho$_~@<AJy=a6O7_x)z?E
zOBCy0Y3fvzOG1y``=i|<VFW0b6DmuZj_5t>3F|CX6*5mO=q$sS_!YsT2E18?KJY1P
za_9_=ask^$jRJoiCOjNA&RNC2t$HBL7vh4-JbH_*#~NSeh4$yC)Jv5{4V9MyDa&Ou
zKlzkF-uNyZ__?<bdaA0Uo@IH8!V^lngAqYIlFm582tL2L6x3ml0MoG3s*!*u!_=a_
z5j0jU^--z=zI#-ymgo;ZpEE^;W4*0$`ifbL&zoyyY!k?KDyAN#&o6EG_BVCA#)2lJ
zvQ>*N<B68~SWg0oKOOoXP9_}MYv&iwvNBGswFWrFm^429a`3V3X-1@J2q!(M!V-md
zL$KMrm#Kt_`CdLOXj%*S$`)zj&OKT>9bev}i!K6I>$_Ar57h6V3QKP?$8jq#l$vuB
zTD4iZq276ly1kWIY9fnl*22@dEVRf-p%J`m5l6bNDO$0u%G?vW`UTAuN9q1T1*u5X
z`$WnBu&V53_`t}zUP=R>GLoY9@xwB`Lb{vD4)$>>NBTRx-{m>=j1=_^6FWBRc*gge
z_cc1Z-m@)$*O+N|+pNt%f{+qvf*5|@i6UD_qcs8jO{)hIBa(aK*jhj)DSb>x*aDX%
zv3z)r3OS7cog25_eSFH8hM&I*U_5$5lchNMCF>9OSr7uOp@+?58&1MLqJpf4Y5{kN
zd)1~Z2+QAsL4+#urQfxzJ!#U0U(S8AU_A6=VZ5sCejd+xSw+!t@IJlsDbIXVZQCqC
zTrr^HXZ_#x->VXEbVzvq`QNqSP6FGju+ItUMDebBG^q^lH-_t?@pavpdmiaz`nN(f
zH0{dBvg<F!{|O^WT~LjkBZ)v`F>s+iQp=iU!*tL@pQigexsua(S(>Z<H~YDk2AVN;
zg_}n<@7Zs8+D&v*jfO48?`+td@;y>=`iAm<{MP5oKy!LP5#IzlBW7pk{l=Jg-m95v
z|F#csW0LzYqL(SQ4KX3?krH7u@69aqeto7=rZ^WB;uW4!gv8Rz_wtwYy81-9tD2oX
z9yAhs+KkQCr)jht=Ncd$&!#W<nlE9=x*pX#_1t*i$zZTqgYbpN|Ngt4|9V}e$3<|#
YZkCW`Z(pW?zP^yuRMk<bQnC*F4`ba^O#lD@

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_images/histogram_example_0.png b/docs/0.10.5/html/_images/histogram_example_0.png
new file mode 100644
index 0000000000000000000000000000000000000000..9b8301363678d43fb36f795ec59f86c18897b992
GIT binary patch
literal 14056
zcmeHu1yohr+V%ntq9Sq(z#vpGkTU326hx%EEpk)RY|<734oG-tq+4>+pr{B)m&7K8
zO-Oft@ATYr?>+ZkZ;bo>WBmUZ{~6<ey4IR|t-0oW-Y4Get)w7Bv-8kS48v$-uUt~W
zFmf*pBkS9~4gQ6%vHL6h60*OnWv^;&Z0~f#)(DfoVQ*t$ZEs<A^N6F7t(}>*)p>4S
z?sJ?+OzrJ$?1XuEEdP80x3#Sa56ArhEf{2n%@u7s45Ph){wGV6NHD`Nes$SP7u1}?
zCWx-~YD3YRGbh_+mG(v-WjJzx^Ai*KrGW=JQPRh36NU6uVl`AQb>jW$uW;<8Q~BCr
z%Eh3odhA#{m#w7sJ!VPMT|fDr=q68++;i!!(lzpRub+<X;_oPv(0k5gcl4L4T~%uv
zsk!a8Wpk6inw+l~zEl61nWZL+lMKVk50v)ohTFsHUt{DLcHj~Db_~0IVCNAG^SW`$
z3l2Pr{%;TH@I9`GJ{jSBF<it+!^Y;#z~EqDa4=~?3u~|tahg=q(Fs{y7*7bbDwHJ_
zIyBRIE=w^9+kfh6Y}mG}6=dWh@{>);35Br4))Y<L>ip<fM|Og(on5XSNx`xs>vHc(
zol`LrEtcLzK`R<XE3vLLSn1ndewRYsz#u)?058kHt=Eue+0|0!>1i!<i9?#~QcCWv
z%H1C-E5{!)7&K&fZs25_;^czS2@fAXPI>dDp=JkJ-zptF{b_D)g}Zm})@3S+uUw+o
zwyObs#86GJ>sclpksfmClwACR`O3=5XoAE>k{#!%Q&&{uuPG}l`}wd)On$J(8bo*O
z*ug!d=#O9gmgKRqItsUCaP?u{J@O|SxcUgO!i~i)y1jb`&WT%mIU}ngE9=dmLMB<0
z$tg!iN4Jxjdd_iwj_rQQ933Mgqo+@wCZG2(`ZiZDv1HGNnJQ<LZ5Aqo2}bYOcfwg@
zr;gChBRXl%7<j6Uvs(|+?%Zh$@73}{C5vZjON&~^gkxN6th31O-%ji6yDr4&BRm+)
zt^fVB3ob4NAAOio8XA;Hq{zF&(@Tz6AO7;?%cJkT_c?s5sjg;|g_pMopKDW8U48Y%
z!Sm9jy71<$joz(07WZ{+w*8!@VPTQFn@Kn}Ir(((%tRMK#G1;h?Hf$&Apxr}biiS}
zEy=pKw8!TGKYIT0yHw0d^71c&IJE~D?F1R|6S?jCSy(bgMof9)DZGZ0l9C!9?AWKK
zrWPyE>!#{hMC|fwcr;CaMkj4~+4%*Fgu%gs2Zdc`WAXDN(GpuL^}_i1L<9E)b?ZtB
zFXNTg439Xc9v7Lxk1v{kJ#R9mx4cp*v6&g{AI;SlEZLB(UuZ9zZBpMhJ5=Ma_)VLJ
zQBY}axK>p~#h(yECYk-5QAkCXU}ZV&xVa*2r-Z>)*;Qfk{g)KkPZ)M)7v;~ed(P~a
zge_9>+wtEHTuUkW+1}DJO?+$JF4wx(KwMnB$A_YC+b!*&x=4wPx^R)2c7nr38F!@s
zrrF$mOD~1XE7EgQNMeDqFB#TNdb)lQUgRTR|MIq|r1Yf&?dH_i*A^#^yXOubJ$lqY
zfuc`ZRb4#}riqmK8lBZ=9^(2OmrFTa-E|DkU_3&`o5)xCuzH3@QdNKIY`TN{83bmv
z(*OLvfA~OuIFKKQm2PdWp?50mG|9=r!jh(6w3ytrfB$~dPrn?^>aZAVjCl;(lemWx
z>o%Vm_;5(jChFqFi~INPJyt|acj|Q~G+Oq!&B-rJ5_K<JxNzvqbuWI4FMZKDSOc#W
zyH{&#>mgp#U$U~ZLwUD8`LP}naZHtdaVXB;f3JL`xW2FWY9ha7=T{#=tdC#6$g$O~
zUMyi?;O0bUu3Yb0&yxMt#u9F8b7P^7hm*4fRxh7X_5O*DY?-R6s;deLZKdvOqG62K
zp<#F(Lv14SGmRm9xPY**?!GXDP~+_xPC`e-m;3I+(}nR{b$^MiOiE5xF*Qv*&A|a%
zwW<3H*7+((RNDUA7iFH}>3i|lepMmm!5&O3EYulqOSAJKx{$)3zIdUoprG(_GIH>+
zSBlx>op&6OWSpl@tK7W#x<(5Y8SLibJycjoY<#>lhi1B(gG25&N7oWN!BR3)n)Q;I
zsG*^ur%#^P9DMfViITc{Ah$trVqagMaF-zCZXw3qB)qzME1!gwnOTxTq`3RU-J_!^
zq;lhI7ZK@{kC8X#9z1-Q1k0D%v%AD~soIJ#4*RfhWjHj~xc1NjY|fqn8m8XrnwrDK
zo<7zB+pJ4UG3)88WW~(d+S(z2$qv?rIy%WcC2J!CA9%W7Ri6<T_ji>zd!2c6SLkuU
z{BZHjWv|LDzsc5=;Hy`!s%dK{0XTCUKYkhQnKwTfaQyYC&!0b6yL|a!jTZcXl`tl@
zc2XAh?o~xar*utqb#`Il!YW^v)p;}h;^l_}ELCb()IK{5@oRVV9Gh@8@xJLf|3KJb
zYGOh#ZLjB}T2*yNwXWdW*3sq!u}xb0>(`?I0FKHY61Gotoa|0wFmzMqDO<M<M^AW+
zmG%1*_K<4Z8Tx1p*u5N!O6rXE%+AgpTEF&!t;2$!Q0zdzmoCPKi051LxP}Jzx3_Z^
z*j!KF=lRG|1~zhyZr)a%6@f!S!mv3((aGnI8--2G9XYaMoBn&dS;W8TN!WgU0<+MP
zc}oT`P9DM1oq-3Nv%zIo{5>}3BFE!`4VpgxdVb*(tFI}541Vy1K#s=--swFVMyUGq
zso~YxTP<n20^t&#1{@lxN*6BNoy$^xc|u+V@Hrqb@VIOUzh#K@^8?W<b0pliFPS<8
zwsDRVopHzIf}HIHu=0nxJNp1Nc+Fc*kyZl<=TuZw0zyMmva-$v1_cRQPxX`(wPhG)
z96WD4@`1rntvy{o*M3yx`0?Wfth=%N+Nzf)`OKQw0s{ltd3n_+sCKu+%ZJ+6i!EJQ
z9h-A1Ej2V$0$jNOx7N_CD3NwD(oIFob+M&07uSkv>I6B~(jP=FX#4dFpQF&*Rga-t
zUqAVEW}EnmFf(I1pHnhQJ4YrcDJdO3e)MI@m>H}jC>_I0#XYDG{9^?D1K|8MwEq7C
ze^+h(G9{*$G&F)H^9OgMqSN2skI?SzeX7I669NL7P=vVUl$3sXyqBW9RT(3T+5;O^
z-P}AGh*5lTv8emXQ1Br!d`@yo%3&fm8`~uy9CbrqGH)?o-GynArY11VhP5mIPD~Bn
z$}0U`MTNSaUh0&`QW1?6X>c&+)2B~CK2%uy!}DI44GkdWaakr2M+^I&htv%A<7tG`
z!ooUBy`E)@Q@vB(&R7E*lugsuot-)e(kmX*Y64;(4r@=*<l)lIyJlUskr%{cm=4E}
zv$2gtZmpY?%rWhLoSdAjM~|7x7E|uR<O4!NlHJ!9NAJ^$o7zVZt%8YGPU$Dv*b)^Z
z#qsboeAYe1!gJYKS-eh@dIS=s*CQY)SjZ7BE_p!d<{&QJmRwvru9N@B5y|^hv~B$r
zkH<^ISXrfD8`KRg&kRmJ*@e*z>^g$+zRTj=7+@%CfJ&jJq!cwtEHa#PZ)s^Ug^g7>
zRk}7-LNv~<GS21`IF0ch1YU5+4{nZ*Lt|uu(5nHp8<;4!>`odQbs)cNW=*lOV@+|-
zva+(+Wa~xeo=+CfDJ+aMN+Ci;%~Kq8tI}t*QHEuq(*r9ni^0exS?PHUIAsqB*~Zo^
z<1$L(BiFy4^p9<7QdwE`*zgVk7Gplvl60DfNAvM+CSLmyC19?}z_cQs(qJ!u)=RQ-
z))bC~-MdE~yZ|r6y#L)pu7K@Wh%e7w;03=^ega+jw{I37-oHNuG<IfYrW4>SW{!bN
zC)S_@&n_sa)!5h=a`x6EZvDcq>4I>fsTaUbvU*BDL`3@M&(|h;N_6jUqXF#kSBMbR
zo?3?qFl|fKuKxVF<t_!){8&ncd26ydezxi)5h@>sy|9rZ(|dFMZoEQxGC)uY+;MeP
zm2#2eM2<yA7M{dFPj9|F-M`xC>k<3v)qxkxVmkXyDin`tOTopwhS}78z{JryeE<G^
z##BqYrnk5E>C>l^okAZx_=%2zL4>;3B+@;e<}g36v!5DVldqV~LtzJXrnRNz)Ujjl
zj6{zeyU60Xey5~seMCm02`b7$_>`MWkkP2&)@m?<Zh=+$Hx>QARP@`V&)ph@G1@CR
zdday@oodLg7f+Gc7**^naV7NN$GOrB%SwA#WXq0maL7eRN7o$}7Vf<74YaY-$2gK~
z7d7?E$jC^zJ-v?{r%&%ccu;$aAJNYWT8VG#+OcF5+Yo<111_|vDi-J|Z#{kfd{<mT
zf=GKxa`GwkqS~W7OfU)x3O;zlLnM+&r8y247#Yb^L^PP<H*}l19PUpdkxnM{r%ZNP
z@IQR;AfFRGw4>Dud;a{qJ@EfiAZIEb(KNrl{7g+>KMf{bE_qFA6j9`Rl+?V=)7OzG
zn(nU%5p&J^_~I~$^B#;~dJt&Yz7y9Pl2j9TP3jmyyK(UIYaAA^viCUqHB=&CbG})z
zrm|8-QDP$p2@-{HVYBZ1JF64cp5wsNV1x&{JEPd*;^Nr3xYByMN>`*tH#aw7VW=4!
z#}`47z%cpu)?^faS&aXy`tyHL%Ko1kN|F`ez`l~nDG@MjCoQd}t!>tBW>M$XiGM(q
z?;@&<5cGXpnr<LKjb&FJI}eYdp~p&`v@dho*x1-M0{ai??<+)qe~jo0R&xW-c*c5M
zr&<SnCAein1gs-~FU>c}@vxsfnegE}R1gHE=@*QQ;@FY^t!V1l|Hy20cn@Q|bfA`^
zykU*<xv$#Ou!!qztSwpF7=Y3|cI=qmNBE&;U|=xi_PFBc<BER0jO1in#p{?U_Wd#y
zRaGcs;%RyXO=(M^fq`*IneJs`nrK_2^0G#lwl6j=&J65=&Mc#6g+PWzx<7roqOPWv
z{~UgtI(IIsX9b8@a%!qQccm|jldct(NQ<EPhIUX>Q&SG`V9TCjZDNsA*%-fLkv@oc
z?prP{E?Hd@3w4AJi=8`m+|kCOj?Wx~dA<aNQX^F>n$YW^3*_0!!-ofm(%ZLh{bOZc
zo=B1l=B}=;_Ggn1<(Frbe%`RYGRNomO$%;b1;DJy|F~Rn9t$=-B}lOyd!beAoCyVz
z57-juYoTEE6b&I#Ku{3e>F0uoUw(-~uvz7Q9El)}41+W%Qv9nQ_F&U&b@0@`Bl$hy
zTgc^rGNpTD55~*#Zz<EiaD~5-tpDnO6^B<xN5@ldZ)Knm;NF0J;v-Fp6me1jkq%16
zzt*@JN?kfYZ9WHblMeMw`G{!eng=#DHwV6a83TfyODE@wtgNiC^K=x@hw;y4ZYx=n
z1tey0TyP6xt*9dUFp0$LS`~a?x&uQrY$xn5r=+Ggh0+!x>XO9<i%$mRS$mdI4KJ=O
zRd_C#OE><!NnPTbH%eq=Wd5i|I9&q3Em!AV<Lavk=1IxV*Mgd0*qfA*v3K7-SQlzj
z{8PnqKHnURV1d!?*%Q6Fu{Pde5~(gPFMr>6&_+;AU41AEKE1D#uLz3}ch}+L<NGed
zd_ji6@+j$YTkJ5=DZ%HOo15p{sMuB;A*MS=s&Dt)TJjWF76kbOb>4v+YGv&Un2GCb
z8E(}1d3hQ@$aJ!9dq3LElnh#NBq<?61@z(luG_b7CuU_e6);M8bpKv1Jhz?U<h<tL
z;gOt}Xmc<lF;NN5D(Sj(`7%3@75MkMOmX+s#NuMTU>-w_>({S`TUzjkTJY=I4I&FK
z<DZlX;9Bj#bkucq#~DTJM}B$z`t=x>Cp@qX3!#`Y3@W*%fy-r2sC*86<z!-uUv4F*
zr#pIZI0I>^{`ASF&huMlrTy^dgJ`V-+h_vgZsA*Y{b@eF*56;7-ZtZR4|WJUj0FsT
z{xxQH*7n24kLFNg>UbW(I<IbD8c#pS#FPdjn0<VH5ZMET_M@-On&U^kPe$0tFv8vN
zzT=`)@`rs27idgbe%B80(txZEr#}YnAh~Zww;ay<u{U{#zP!t-NPcT-YoknfADAu)
z@YmXyXt=1sHjHw5q%kHL7Vr7D{Wc@u5-`(H0<;GWZq<oQ32K7D5Q_i@5BAjT+#KD$
zeS;58;Y!mTn_wgOvw`aY)il5Rz|TKN!K$l`l<1{yL?iEA$Ki0tWdT*%;Uj^D4G&#G
z*U8pJ-V*_pC;$#HRxYLIK`jVs5-<n(SLtB~i*I&h88Op<P2&~R&*^1Hs%t%8FB+4d
zF9;Y>RasdXT7ZVX7)E&pc0oZw0e-pvamlZUMR9$0VJe5k&T;hU+fZ%zhd#18^5u~j
zU-J)7>3TlHg1~5PN-5n&n~rm7XI+{qS&G=Un=#SL3k&w9rste?Mg=-QG8^-lZ<GPs
zB9ILbuHI;`;da<crXpdKHZ?(9J)hw(80}2S>VEj0bG+`nSB&%v^ZB%%+E4*kHgLi)
zouF*YU}e3R4pkvg!#M!o$Z`~BKnI^>W88ZAZ+do=t<+lE_rIg`rGz_^1X^l>d9Dw#
z%!!o4X_lYVsjq{3dhgynQ9pPg7;~Q+^)i*j^4%JmAfu$z)N2S&zjb7bG4Fz-Tou}w
zl$4ad)%3!GdWJ#C{O9xart>3>%(TBxWJbwi2+Vmo&FIEbZ#yE_U=;zuH>(Zd1ASy=
z;{jS5+$D9BVi?@d&yVZXek`PJE0p5HhY!LweO_!yhGiayM4jJMN|BYncnuT{C~gz0
zuc!(s=G+S*05dQ&!p32DbL{~O`dKy>A?l(+E501HbLUR`8ZN>Wf3)_LW2DW7ssjPa
zUJ}lcd$m6Y|Mb?!=LN$PfQ8|eDp-D_U>W85GsE?Zr25EqKqUv*W8p$}(x4u|?F;l+
zsWHT#XT@@aGcz**aht@Jx?{lWZs@uL@_%kuAF#CrDA`G%e(DaxMJd4LOMfEA<oDCj
z#f612!t+%1+nA0v#UUM$XWg5ARO(Sn(ThKkTd-kVPIF^YLe$s6@gOHBAG@}F`*tPx
zvy2p(Bo53S9suc@?*$5Io*Fd+cMEXjc08e~y1J>mz)p;A4_4|yz3ke%76I--e7(e0
zx67dSzLUJSKJFsAFA)uPP+^vD-`uFM2Ts4uy8hEACEyQsLLTe+RLx{({NNencuHcY
zJh#?Rp|Q8mVH<_=Hr88K23l}3*9&Xt3=9Z31qA<XmnDL`P^x`oXTq~FX&D*Z(j*ZN
zOM8B%l10uRGJ=@*?=NLMq`<6;z@(|^C}NfINsNuX1fo=pU_}h@^NR*4F~Z}y@{G-_
z@%7~~a7a)D0hQbgrl_;nC3|y`Q09VTz@m0<!5ZfP+1Qn5se0wg6I8T_;5z!pf)Tzj
z-mWMlBvd$_UR2CThlyH)x5CZfsGz7A%!UXzNN-Tmr@6QsdOTKUjW)(K%bH+PTGI7J
zkmC%uY*51RcpGLtW0+&=2TEwn_H7f#MJcI;?8uF4us@?P@-t0fgBodT+$WHRhYM5d
z!-Q0!>{;}yLA+23)79$$!|)5<fRzt<#o~1~*cv%(y|7B~JX^L8%gV}tkPp564Tws?
z_ih9e^ibF|XiUD<2|jc-cj*$*Dblz;A`NDswE$e(XGperu2*_GA3X$T=-k^v)(<Eh
zIUqqrfXrc<Z?={PeFMY8(?UWHiGgY{@Yw-pI?bR`dE-Vjv+K9BMz?PZmQ4(ULl7Iw
zW@KW*0jjI!EMQ3=_ohEG2FyW@2)iz(f{(^olhu-KqUbQv@V09O2I@23+$wE~mZBow
zsbuP@{tjf*3yyFEbEf~1`Tnn%%-`Gf|H&1DdE~F)c>(gFBC(5$8;Cf5Gi`DN|2Dwa
z*Vq5$OClXYt?$D2Pvqy<Uz4C3;2NSX046qp;yO&6gxa&Zkl~qDG+9`~bQUgX_z4si
zyzGXSBvn3_+1udIYQm~AZ%+>gpQ5dgA6N)}B>FM3GKh{{mXl9l3cXI4I+7Iwi+cL(
zS>UTz%M0PFtEbPNRfdW|W3>cOcuG`M58^1Zra|zG)z#Gtev^Z>++GQaks46izVmR_
zKk;yW7PslUC_X8ft>%#T2un@neE8^*aPY{;i185M>6yUFGD^42br-Sq=?eT%pyqyh
z`nInV=gyr2_jgnef{UJe>~LG1+*`vv7qqlqt*@`EDJ%D%Gf-BJ27gF+PGVzTl}QY*
z22{Y#r?sukgYILmAr&oi3!!XdLbwaO*ba-l;g2wbXAH9Iv2EM7nU6F?SJ&4&p|ejz
z!9?cmdQXWf4vd%6?Cf{Ad$%^1_`vl9V3=;>hJr$kTRbQ!3(m6U)vHej1_pQ`S3}Gb
zQibm%@~_MnNGxIjXp1a75lpLuBhr~436=(gPWEFh?6tq1mq8}{ix;f`uHlBeK)eQK
z@JI;5O0;1G?;;>JCx;hAZL2HFF=D!gVRv$%q$T}cvn~AkF**6K6IG0N02Q?SJA*9+
zb|x#!%chWjXcFV2q9mmr?eeQNR`q2T0}HroK!~hQ2Q1X6J^x;=((+E0ENXPUgbBl}
zZbOA?1Zz4(R02o`;xr&^j?22Q&NouAxJ7}J1n(dz?k0ITA3TuPVTdf*&z@~G;$&x+
z1*6>B=I~#noq3Y8<TIE+<l2`o#i&zLQ>y|Hi_U7nj<i7}@$#ih`Oo1;Vsi3T1|9=7
z8ylN&OAy6q%`0C1sXIL<M-8%!#t+X7okgyu&@*-`uz0$avmXBi5^IAXKy>gpP%IMo
zIwq#%)%JXTSmkYS_Nh(3YY#7da28QWQTt1Dz>ez4C28s8*RS6hrM`ZB5ghJ?h>e$Q
zp|vMMYlpqzc6WL|Rj#xuDQ2ROFDH0G`3D9HY*7CrsNvg$t`e}&#=g62z-*!*o`OXP
zhWR-j@YMnE1Ls@22;kw{)<HDsnO-lxb`4Ow1?92G<v|$$Dvj3fsl4#t4Ov8O`rh8>
z0~bbC1&=S>M$4QkWH)@pAGBqdk&=I*(^NW?8x9cqh=ahpKqfvn8AactcStkuff^TJ
zq)pRf(3|0g;!D@XZ)R^%kqG<W2>$+`^x^*@VB1V`WE8&!@Rfru10@hK0k2+t8F53~
z-}j$8n&6<yhY2d{=2@VOAJ!Qke%>@(@Xov6rOzJ}>ngA?U|t~L6@WsgIBkw+l%;R2
zW^AcIQjTAmOoN_-WRQj+116t<_vIzcTZ9>ux@iMfyL#=~`l^DvI{<qkXtWc=O31aM
zA=gqtzPgQ1ML!A!YXFM8aP8m7o&Uzv1l*D@^!-!Ig(JIPFQiDnTPVcTZg|xA*;Rs9
zr0b**aw$MggR)n;KlfK?KKV8PPP2UMX*YG`@6~8b*XHI@Svv|}mwH?kAv3bDPp>t8
zS!;~5(u3;;`PO!UFpUDeJ2p${!(lk`rfUMqQc>@Q0wiF~fT-Zmws%7U1VI28qye!%
zv?%>g$cMy&>wF5FRsZ?*xq4h(n2=89&4)K{-VBSRD~4FpVXju7h;=UvcBl`Ms2lHo
z3Kw>`YB&5@8SJK;w{GR$8I&e5NL`ha8ya6*sQUQf8N)aP|M<SURC<#q&!1OCvZQ+t
z;x9CRi|lu6RvTkvhzoDvV7|1$7X2CcgXptA_sQs8c67{xTS4^%e2$4PnK5rcp%u)|
z%-qpFRP>P@bEZJXQ>J<AY4CG7;M0nnrrM$|+z$u{h<$ldkw0G^XeHX^HJP_6MPD7j
z(tTj`7g|5`#<vl`pI5$pJJxPxSkZ{wi+})x44DCU?qt?X1+4uQ6L12tMZ}M%J@xTv
zgPM^6E}X!s;O@s#zzDdhfhdC2%G)<T+Kl9|-8LRzXf9-H)?<+D0{4hVmKUf?O;7@R
z_wJpq_uR~WTM3*WCE|A8K0c1)kWvW1=YNMs^rpUi(Ry*<>_zL6g&^<%VuKAm3f@}&
zVPU<;u6@m;zCa<VyN{m!goK2|ciT?$H``8jX%DDs2(FM1O;eZIVF5h_wbeVZ_InU6
zHF%YmOVTh2tHGwJ%Y=XkjPM#Og21Ra@?)H)41oRQs$IkKjREw$q+?;eA(Xyz=guL1
zi&ylJWsHrP%R@Th&kKR4!)ViGFl_u|O(I;Rp;sgUb&`Pg9z|_I@G9m(MdMMvN{Qaz
z*?+OBLfK8~BU*vMp}r&NcQFO>a+;G<t+&*@B$pafqJlxvkAaRbGc#N0(NI$A%PO_$
zzsRMR-$0Rs^{pbO@jvwC{yR4NFZx*i6Jq>-+feywm@%l06DOpBnLYLOZ3k=dQ25qx
zsCBZ_R1Zk=CNDAyWZyYmh6sKDI&IP*(AWDBXCDtY)Y3`>-DX}Lz>b1#p!$JfVX5HN
ze^1b9pq0nc4{8TWQ5?q9&<cZN&;jBDA$fvPO;D@I79{U2B}+XizyS0RhbnfN<Guaq
z=Mpg15&T<KK);Ue*WPZC{6BGeKfiv)IdC?hWdyX`7%@IE@yh7vDEBR}QFV$OEx#L<
zUu^`##=+6>hrX-i6GNycfo=42=Ka;+!J9Ah-nJ)K`^fsAR&;xfd9v^%n1wH&w}?od
zRgpE^(6_4YUE{EWXmGOf>$0&AM@9yiBc#ZaA(KEu{GDm|A6NR`(KwIloBwU_vI?I|
zY%UMBfrK9;o;Y%(96@l67JwfeGjmVh;B8}L9e*wOFWn48y<nvPJ$(>=ksdT4fgdS$
zoRzg=Xe$})G30ExkL&jO`_{MC$AjSt{U17D(Q970az#$M<mjusGJlt~&zt;pS)8aN
z0`;9q77m+D&eXo_92@u9Fc<3_5SNXR_y`v5qlXWx>gyGOdU6lK56H|?okBrv;6iw0
z`9tOTLu-w`1%anLTnzlqa*WcBFMcB9c8_>=84WcJjb+=d+`Pfilew+!Olz(9oDc5)
zqE63oi@}oQKZx0&3(csM4azH@APZJ}7n*zWs=2Jm68=4$0guz{{gXW*5}u`~+b)np
z6C|EK@`XhPFt08fH;M-Of;dd!)tL(k3gJy*LUs_5qywN@cIPYa*|X>O(APcd?2r2~
zoZcq|g8(o#HV!9fcb;xu)I4V$*<o033aeDnJS9V9F=fH@*&3URN0}RE%E5Nz3rMC^
z{4jnq+ebP5N3p@X8XBtkcMV^<q6s4U<Khha_kXIaOsG>aFqr(cycQ7;k;!~1FcmeO
zo%3PigqMkRyh0s)z~%u3f7!O{KokTA&POcg^y@c4M76ni+y?_NAb$mN?^KA6g?a9o
z6S@{Ai>CMs<#FyFx-sJ$B40v8m%8ns$TmXlDq)K2K*=M^)^g=)8=*7~8XRd3oRI`h
zJ?ofij9Ll7HEb<$b)uxA8t>}e%p0x^ZBOl8TYQwVv1X|qgq-Tc#8YsT10-~$+pKq&
zU5+=o7Nn#X?r&ok5h;?L^JNrz4OPLsB~clK5Bk^zWV1HM%X5XbxTiZrW(a~Gi0ZhU
zv$Hexar=xkT>=>6>c}`UFo-B!pOr%)HYhO~E7czXip!amg@TBUz|z8d>tzyUl|D>!
zN&~~=ow+Fyz}A2?;b6(E_AHeqtWA{}t}RVvIC<ba(44r-=g~v!R!a>}8Jab`$kps{
zF;@-LULh&z)#JXTzcI+Nh0>{3a8;~ja6zO<PXp)}Z9~QzP`Hs5Qe-<cb%<=t_<GJe
z=HP5|J<B|SvyDPa?tNQZ+Z^{bN1}bRJhC!?ymlY{TIg|MdE1F9oor+I7(3&-Ff&jn
z^+p!p|7$=a0QCu+kbDOTdOEcHQz7lfv#H97fa86<s<Y4mci+xqxq?LpvLuIt&wPCe
z9*fzLx%Q$2T=iz@Vkb@m7zXL0izE>ARQRwqS6y8^JZ60H3EgLqxadL)QVuAw)IF@y
zTJR3$9Ak}L2E0$EPPvgpdVKmFVccA1m#=$*Gg;RAsM@4x#lFT}s$Ht}ECUcqgRl^F
z|JwKfywm~1Xxmz^-^yRe?0SE&90z<P77WDTOmM9LRb1HpNbf&>gz)|<EID8C^=T>V
z$^xtJs0)RKUoe47tX{suP__`z*Q#Ve<Fbs50CfCHYpSZoz$Q;FEG&E*sf3fOx5l-!
zwBN@40+}tWq&63^Tn&^*A)~@$-5Et;(|vD|xl+uO(gA!cATlyT>hW$_f5f)Oq16So
ziWP@_cK3m`2%<T-{U*#3ByvO#3%eSgyE*&-O?4^Dh5#1P(1@#F?5qqirNPxUTTl@J
zki<cx0PTZZ`h{vB7h4u5y7-_5SyvXF$j!|S5qB?qM9b1MlEJ|{FG>ii7c*#V*_ikf
z6NDv|oRy_gwzV-82r(t_$P`$L%-7sD7AJ`u(Ao*s;V4wtHfWP+Az1g~NqK=J0-yO9
zE{jhKHLOkbq`_q4MV|hap+OD`>EOcGmx|`l`La61<Cz594n+ncJr1FKxF9HKEk#b&
z!1R)!NfJCF>xBj>S{IR!E<GU+mw_+Fx5;>w!S-(fbDD&|c=4V%7)(H?lsq@a4NG2q
z>x_$!HwX5$+IOF}nCSy+NMRYk_mG7)oQf=BV5ZujMR239tQuhmknfPhsibITXn=Q=
zXGQG1zT<&YPGH%6C{FD;X3YV?!R^VVXB_xos=#w=h7J%8S(FXHEGC47g=y$xz0QL)
zC7Y|`s5F9~Oj_UN3D2gx;NkMj&zel;k9LFQ>^DQHM>L1yVTZax!>_EITyvqrcn;8o
zl!#XI5f`85&n>E+SUGU5t;s{e2_I#Xg7<+Akk%L(T10|@yrP)cz-{IO%=SYx+jY2E
zX;tWn0bOAZ{kXGBOTl0O!_y>7toPHxUp2w_Bd{6-CnhEeZ#B0hD6&A0AfDaNRTPRl
zyt*J}x9JNAJ0V?oWBmD5G#G)_GIpUHl{|`!UC%k8gYwT|IgLkKVj5tfvYJ`|;TEsA
zkv1r-W*8*LWzN`Ps%Im)D`%Lrf?r$;{f(aYXv{ITCxGVN{WzwlOJ{Db>rlZUpG!=^
z+GJ5Kuy=R|g2Avv#pWBNU|c_FnL+moiDi4irTS>8$H+5AHw#b9FuUN8#)VSSw6q14
zV@u=U;X}WtzK<m+o6b`AqBUPjtBtGP!C?}fJ&3gBn$$DP`R87LOO9Ia+h7BN<(#UW
zZLEzR)ov4-g^WS0*WuS^D$@WCwIK5jf;&Ls(R$(?Us0R8LB36NuH%Hx_)A6cOj!0f
z2r+AC7Z!3MdJ#kCxIjFb3ejOoR8%>n{C3>Xm-EoB4!V3SAabfH*zAAIq657zZIE-g
zj>ESBG@t{9?&qJcPY{dR4;R_Ur<<S^gR|_+sal1$nlzwf<8P^0av%~*g)QfLiy^%O
z?l~1oi;j#BW2X4(2rI~U?I19q7r;oZ%}UK%SkIG|cahJdwCvX{2aEd6`o>0DF9aHG
z(7JgOtxpXojH&2*3?e$&v9YmQ5DH{MFNq10knMZWiiFfRZ_ePLCieI^%BL?*ErHHA
zA==h(wRKsSS-L||h@_-7ykTOY^UP~qR4Sc^_MYt31JLKJSslB4{^t89!d(EGI`H+0
zHcJB0xC9`bxt_?_URV#=Q1JpZ2Xz4v&k_a;{RN{?6Utni-Wfh#T~zn4nd86temiN?
zaOUG-Yb_Kw&>c8nib{)4nMaAqeZz$Dj$UvQb)o+w8>m{^lPBB9OV=i|0b?dsrrSsT
zWSBD%5ObV4(||%Z2Z%RBY9ftt)6gEN#$|DtQd2f$agL+dJ`G%8U0{l1#3DlO?W(=j
zGUj=Jow&{%GY#-4Q=_7ejOTS(Wk=x0*lYT2oJBhM3OdVr0R`HCRG`nUG0xUTjqMK8
zeHRF%>C99O#~qeHt9YOJMSl0*P*dPP{IURuEXmL_&<g^MkR@-sZr!|@W7>GkcZkgE
z@WC?5UFF+RL6;XGew{dg*+`)<=prz~VkR=o>HxGsM%6C2mu<#@4-H;Dh|O!Lr7RFf
z^qk|m4k0yy`K^`6tt9A=Ndk3>CxttO5h8&U(2C9fg48+iq=j!CswgK-aN2?C{Dkgj
zh9t424T}^y03QRkT;|exBMIPcX|oAI-$Dh;rV@+$ydTgpakNi`?S`MTnJs?nScUIb
zM8h;_Qtf7JfCLG}-%0vpUi2RztM7acUsyok44tURTY$}zf_f3*?JU%7RVjMB26=VW
zKf--cd!wJ$vjOU=J;Ykc;QB&$riPwgSZqe!5pqf0w;+=(KZZN?u)_nA3W-+ju&7^$
zgoNNpw2XocE4>0l`<D>P+RuKKm2JA^D;5tG_%!sZf%~d<<Hn7eM^qRs*tTahfE3jf
z!nT1HrQ@>5>jp$XmaO~c3aJnPX<^)OtMl+#vhs;jUU2`wV2e_%yYl3LctBn5bs!qT
zs|fJ-e+?T62O;8j9)A<kU8LkKrJ*$+)i;#mA-@NxsSGp<Y!yx-`wDfdLxDI6UyMRu
zi-FYEN?{k)bAjxq2IFfXyt3ecw}8<4N+Kno#t8U&(WnDa6AU#lQtanPlo5?hFPdzs
q4&)$)9l(k!DhqA>P`-1Ze~Y5CN%cTga2ay5Fxkrrm(nj@zxO}pm|Nrk

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_images/histogram_example_1.png b/docs/0.10.5/html/_images/histogram_example_1.png
new file mode 100644
index 0000000000000000000000000000000000000000..062dfdbb9829f3032b4c1afd55fefc61a08b5d56
GIT binary patch
literal 11387
zcmeHt2T)Yomi7Tf^dfK#7?7Y>P=bJgoUf<|2uOwoX%&erL7)N2MofUBfRd36O_IhY
z2NMF4p~*p!*b<xA(Dc8K@4k1d=AU`>rshu7)YMqmXrFWTIcM*+zV&_I+7B=4sI&jV
z{R@I1>>B6K=pzVoAc8OrZQTOjNVW8RhhK8;XHDG=oNe4auee$x+E?6Nt~<M5x4(MO
z!`ju&-r4DtxTN^WV+ZZr-Cf+|B_tgGae}zBtF46Soo}Wv$TpYrW^M?=c?JE;l&+Fy
zk07Gs8fSht^op74_wh1ZjIEh#`p%)r>~wJNlg&>{pB{X9Jx@_}+uiy%Z`O#voqb@Y
zYW<MyT6UPonQNVwMVTB73i`SW_q}*T+r9nXd6#e@sY7h0s(QzFpJ)DUGqXUH+#0KH
zDzDq2NR3Zlm;IHR6y+<aYq3-%m4GMwjbC2nn?+b}gXj7*>*~n_zwOL7tHQ7MzasFz
z?P|zo1UbH)=~o1)I{sfi5O^e=Kxl8%Rmq;6bt%Mk>g4C=_Y~qHOY4~fj~qgnRd*@Q
ze?DCI`ExVTzK!V6A#&5l2lwvoHrmh~&b~|Bh-6g5n`8C;XOY08U6lcqSFNlTv#@kc
zUFFqefeG3orDQD5r#(e$?^G|Tsey}Gb=ZaFSA^T1Le8FFS|TTfDo@(6ZQa`Z<<+V1
z`1o9dG@asndBjeU`5+?MdTSGFd#R^0%a$$jg*6{OoDX~S=uzKAE<}<SUY>j6M|Z(5
zY;0K_mTexRUtYZx--blpL$)Hp?o&Ndt7~hW4xC%Jx?E>PbXAeff#)1Lb7DnAMRA4L
zO8@?RUPO@z9Ypxpu?x0MaoI4)9zMPSvLKUc0Zenkv)4&Ui`};I8D(XC8T8>$6_0-m
zM61>He?2+rkZoDs(_(C9mcf2NT1Z;jc*l+%P6Q5wyQ!w11qn=h5FFg08$dHiNlncp
z5H5HQ`jMm^dy=0Y)ph7E!B2~GBHY1PW~RU+MgH`XJz|(-6Re-npf5Fe3p;mmidLk^
zp+nXEDNL$KJASVEd)t3y@t@TA?;!R&b-p@f+n%V#+I?NxGjbDxG}|1jZyl+R<l^HK
zm&i@UHc`6}uhB32{XHPe_D!{C7?e;O6`~aztu|c_;@}nNmz}GsQk5}5FZHOaujksa
z<LhTN?U8(@yivzNI0Vas9M^YK*;1no|3dCVpuj-)VfK;B`_O}dSGETJXAfBHL<R#G
ze%euz8ehMDebas2o03g(l0PCLp}Rcble<o*<CptAal@a2bA(u6aG9@Rh^d}lVtTre
zwT+E*Cgb6*qmnnioeAca(mZ?iY?Mksg-t_LO00rs$!i`sU$Ux(OJTo?f7z!{{=xAL
zGc&Wvf%4J_39PurWM^)?^2*SrY}5SH+qP}X5kk{%(WTxNp;D<_{QNWR5l^2ctgrie
zzJNKoygSl@>3U{Z*v@-*@5&a!M|xSAMQ6?>gHn$vhu{nX!O+?|W%wri$?7yqDk?G^
zYl?R+7-q`RH!~9s2ng_uWRl#E+Z%UGR@T(B9}mf9_tc#EvRiUm8m=}>(9yr|+qbKW
zQ@y${rX$sAlbB6`M#RXpNMNef)Vn*7rIzZUe5=0)sggEVH8)=jkBE>jgb$J9$MYJq
z0>WNIMP<HtvAc#kKks_>%o(CXY?%AT`prwF9!B|$u+*x&&&DczLn5}EBa~T%EG~LM
zT1T-D79vHG8y<?V{zJpB%>Q9yyoxTeUQtveJJpr{KEn~7<<aBES)NZSD=W<hIks+p
z+|KK{c%ygjR;q}KkA9fDPh_cS>8udpQo>^K_aje5O>)xH)6c_7ggN;(XzA%agUbc`
zi@as5K5bWL)bIybVEtE9;=Ct?d6m2kE9q0ti!@3uuKG4hju0!%Kf8+tvi|+KuB6xO
zWp+MA)36s|VXv$2u;S*veGE%3ux*lmmmq+j8MxF-a)yU1-Oa_70zr<O>M8VP*^VHp
z2V82+s}8G&yy&P3!c%DBq0bJhPgdR9lq0JM!$$=UGD9W#%aHW{hWZQ2(Vvqj&KCIU
z)vHHOo*1gC20~dW3}9?*S<AI3*7u_==s}|G-mxQ*g>BC`6qy_mG+q`VUi#ixKi1dR
ze-ROp`tIFnh&|y$hkm!Vw#F|FmfbAaBW{sSBuetixt@Un)D|ITzVH~k{*G$|u1;VQ
z-xj!k|NbZ?pSNLQVeORx0dQT0-`WzU(%&zZzC6{Nwl-6VRaxt9+P!~&M!r>z!(@Ag
zOt}MqUSI_7213Zp)c^hWTi=F<86^f15+7@7L{(HO8&ABy&u#$UAD;DF9f|D8w+cFP
z;bn8HE8Np%m$F!Y^(uAD=+dR^r%!)PTY?Wr24dq0^fqYH(#O?R!mQ0`)1@;DE5o5O
zD|=i3TcD8fHr3bHn`7kR=Fj?E_qteG##wrOWuY&TDvhpONgVK{YC8^AT+)gZ&-T3F
z?Ok&F_HCZf2M-=d6ZRp<5V_@>Xkc}9H56fEd;1InANV+}rbgi@uxt5EJ6`!xflWi0
z06UNDMJ_Hb?}Zli#V@CtKG$b?h-+(W8)<4jLeWj`5O9!${TN@C=B6fHwfo!koSbr!
z8k|U?GBPGNZrs3!6nif^WIr97niA7^b1bXz#Ky+PFWa}fd!zF`0oPp&Ll^7i%k)IG
zAdw?S&H-i^o;`aH=3hYLl+Blmkk;XGapD?LlJ;RIPo6}P;Nz!HlPhz>7^2;?Bid2l
zx88=a?08}A3{o$&6uXTPz2>flzjz@eFOQLvlM6YZ2B;I8v!b;2qW~=_OWn43+JZfP
zy3g$S5$)E1jj@2gR|i3+i(z5UpNGf9Sd6_bD^nc1Lt7CN6VtZ0x6hGB5rg~T{~^X-
z!#e*=^Zzn|{d1^)A2G0HUV3h0jYg)XFM&aH0G~w5nbFUb=Tpw<ss$843k!j83_{Cc
zq%K_Z{P||cZeXpE7<yJ_rlif6efWviv*sixBM8XF4ijvKRZYmBMd}N%V<4jtbpjf7
zb#<*vQ@w@$bZ;?>qC8{9BBhh^?jBnY$vNKF&reX}*|TSV(3h5Pq(B(n@Z!aUm6ess
z>Gpc9xw*NzrlwrCFA6hdz#C*6Viimd9Xf=P=!JJ|66qx+B?H5T#>SaIOD8}K1f~M+
zC<bhlWoBh@?cDjTop0yP*N{E(HNGg;l;E@AK%rF)hZu%<zCKc-Ghn?Ypxq~CVZoh+
zg+-1JIIEZ#F9?bAPQ`3pPNXb=3rx9p;r;FVUke+gj=!>v(=#?UF1OM*Fn}o#tQiKb
z=xBNZuE<XM7|*nwgCl}OB57)A#r9}vX>oCLW5!<Q<sDz8(dv48dt1o4SQVI-^vq06
ze}DhNPb+I{^@D?zDI+Ld%>8JB(AU=`uYLY?WOP)%=Z8nBtD76w-n}McFHxke3FVLM
zck(3qLC&H?|I|9XaTVTTevb<P5Sd_>q#Z3i@%h=|s8hBfA|fI@o-9o-PpD;NWQ1(E
zjecpl$F^6}c|Z}pyr;si6h%jv&(6Q2{VMlM^cDMx-7sZd`I?%VyLoxDV`6w}f)9QC
z_;G%oh9f_D@SwRdR-y26H8VT6<ar=a9c4GE3kz+!rGGHWe}fri7)QW8+IUi^1>Oq~
zLvm*&%0&JNCss#(v?K*pY|tneUUAE^bUr|Tdp#7>ltK`%`R^J=CMKPe7eQvUrRkFX
zIHEjLMhzLRg-7Gsz5BbDB~*{TK8v&G&Xpue!llG5@wLy7YK2{wj^4RzSFALRMiV)C
zQXkgeQw^joV#luRQF<w?z1+u>KA{_+@8XgdtpzKhigR7x-3KhX&kU`nJrCNPnZ`y(
zMF7pA6lNBmG_|7B79BBAKoCsOVMN^Q&6y?@M%jH1-b`3@RBe!fm<Jkv+ZqV$x~J$y
zQmStJbR!D)&2>D3n@o+2Qm(weUtF*Uz9BNHBQa9A2x;emAB`CFlr22YOrXv#WtrrX
zr~6B#?3xckAj#t)zwD^r;EW+}n3LI|-_NS6YlU&}EB|PJc;GaA@5CE|6xlZMd6Lnb
zkp70Jio>@>;j%eM2)9&bHOYI>XQo_Q7%DZAUB3gtDKkuldz~wdfRw^8gbyD+yv<=l
z4}REzm=H|$Y=a=<bWCzA><ezg*UcqPwEa~<{QfTonSe4D-RqM?M#siP4<1YqbAVd{
z(=20IZ(^)B=^Oy1)m>n_SbH?yuI2SvN6WuY))vS&$JzOL{di@+g>`BZ?nhVtpGTd#
z@~UI;aI1vi72nFlgalRf5T0iO?E8+Z-eKi*qP|9-!kdRF52Pfg(!$gE`T6#ID|L<5
zkB|3CIkXE|+uCLU%1vkPfD^^P7qP88JQ~*wY<O`ZEq)U4r^My!ZS++^63}}q>Cp-}
za1jF8<Z_VF@89i~r~6R}WM#$JpohPDRr^!bk$$b=QZ4Nl$6^ODyntQSq~2bl5R6ac
zQ%Bb4LIVglsiPC1+(UxXbmPglS=c1K7wky8(b(y9+gvrcJ}M(3Az^auTC(@jkBm4a
zpG=?SY51nIUZV0xBR5Rk(CLsS<lLDv>3Mk<OFd`EElKKv8W3X!zP@F>k3eb#Qf`)m
z_?sN8tOOluUC@n!vC`a!UEbdw9(5n|TehzXWTFi+=vdEARI}}!!xX!w*npz1s;a^q
zxO4mVLYGyj@ZrPn*;C+t2~u8kI63}P@BtI&AOQKygoFh4zs3H%h?rP5m4bBuFh)_q
z(R3#ah<R=Tn2%qX{pzj2qv&<<%9SgBKhSx1+b$x|rAw9m<>XJe&KzMN3yfJ##?bv%
zxU!ksH_mU#tbBDeda}Qi1k9o%O_yJz72Xl1I0GC6CF++`PU5@Z+?;Q_0Jwo`+Be3?
zX=-bSTbqRmL^q_~y}KEtt%!iYhX!kA06!yNfea`^D2c3C9X-IS;%^aQonew|2~6~P
zDFvOd$E)j8&vjzuCo0ya-Au$_aJx;GGBa>>p!v4H$Ta%1=Kf3Nd-x6V65jap=kqL^
zH=|a`+VYHZd(n>{*8wuL;}pA%Qs6Ov5^(dk*YyD0TU%QVO-(^Q3JD4bfI&s5zHwAH
zuKl^La>m#9L8Y$&QxVDATFjTvox6`Nc5<@7;>;ixK*wRQq8zFYcIG8aFw_Tat%zfK
zp?pdfdXTsXcj8B;JSav`{2qmdGAKIbWxM(LbJy3`y=#;h>(t5Cl*cxWG2Q9^Vv(J#
zX2p=4VxbnbjSqu*7ZnovJO?D(POl&Cmg+z)4V1uE5GLBva1BvXzi@CkEflr48(u1L
zubq>{Pa29EL(sZV=ItjqZr`~xGBuUm+Nz(n1RwYA-zQHpKJLYif3JOx(qEKU4+?#%
zQLhQ%HE4=c!Ua>8mm@1H1GMS^bB|j-&P8aetM;Ft9;$0-z!STtJfNtGh>PbKGb;Sn
zCYux0phUVVZp`sB^peg6>+9+5aGrvwAimjyWqOeeeu3bTBM#%uiH{yWY^e(u1#C=&
zY1L?bvj0?jA<iTP-tOQ*)#X07(6*HjUIk74Y!7(HqBt$)p%=mi?$dp8VwPp5f`WpN
zLPCsnbV7zdJp~uz=FPdJ!*HI;W}xU{FJfW{-@kvCCyk7ZNXdGjR*nb+Eh1BGEeF5;
zTO7{+WU&6V_UiwNoBw<Hn@gIBlEO*)uDIYQ+cje4@%p~LzIW&-rpv=h|3`V;xB<E`
zN*<rN^rJfo{4}tq?4S_J`_YJ^b!a8s1TNqyP<lQ~*CCWLK=cEn)?Zti0!B@fUt>&r
zR<>1cP%1@0-vM5BfL9H5DLguw@(5Mb&4GJZt1>f1fENiVD{tf~EY8D&mCaMB2MR-h
zS4=|H@8I?9({qlmtJ4gRj8srUuW}dT2n3JL1dlH~efo4vkJ{<ehWh%g>3)jzg|=Tf
zIX!=QHW(Qfmy?iiu;%b@zr8+-hp2s7H|5DBVgB|)cXxNsTgPZ-X6DJMNbuf(M9cA|
z>BKs`7lBuD;sufaJ8-PB@^T{#X0qK9gUM`eZr)N;vCyi8d3*hp$IL+X?{~IHb#)F7
zVnHH{iR}ff_Y$jM9v>S^JEV4Bw!ccxO-<dx!lHcGf3+U#FwvS)S6kZxNo|h#iEA0a
zr3Hlr1<yWw_>f!PJ^kv{t3=lkO(R1?Az@*SFiEi7@KZfT6B83*$$PQBdXM)?kVhM$
zx%Tg$SRo8ekp^>MV*0rR(HhD3&&Bk}$YST?;M}tLN12(K3(w=%KiI2)ME0I89<$Ix
zOXei_vO*fQwY8c$Iyr9UU`(`8!S*hh%!7k=zmWz}N*wt1Eb>?OG5%L1+W!FTc~Z}O
z*~TXIx5J0Ie*HC}tIKo>s8{udbJ^T|+R{{3U?75;LJA%~T#SU#<qQP)|3g88v&OY&
z4^$aVu+YJw$|^uBk0g}2h8Q^mRt}zKC}mPN=dbZ9`*!_Zh5b{{%_JL>a%1?@#Fz@B
z7;L^YP~?*XJ~JK8{?r2|s1qN!WrgU@YGh<2A|!Ot!67rLq5e-1eZk+q0_>%jo}D{)
zE|ATgJA7gw=Z%bw<>Rm=?iyi+mX-szC!MFE*o7stVR_p;!#gpHrh%g2@pR2F_lbqE
z`NjO=V(x@Fu(hv^2!0H6`W{67A|$o;_E?tLusILX6t9vCG~;I%An5Mh@$r@<e2B2H
za7ICZhK5FYjfSpnXPBUtL!tVaGm=S@siIzZvuGYxmqImXg1hH7)q*^aueIl%>}xqv
zQ|!C?1}wTL#T;NL*~zJ?@|UEDy;CS{-<Y1+(2+K$(Ao2$%>a^J9zXeldDABIDOnZw
zFPq#h-nm(H3;nsw;c%Q&hS;HK8j%8GPgGH{?B`?N`Twbf+!0Ahq6S^C_HT%z<H)Pv
zaow_|;n#ip>=th4R4X25m3kR;0R3SdP1r(pQ8WLd=9aVGVK=9J5Trc!$!iZltn)g8
zkSs1PMjHce7c4Ad3<5L&kxk0~C<HgzWdAix0wrPp;lU0}g>Uf@otSi>hJN$4M^P){
z&$5tq;ni!<IQC%wiwFzrxw{ixU0r!(ym#;2TVGGf-FqO2{Xl9%v<wCMb{!J_b8L%~
z9a_%iixGfKd?qi3^#NMJsmNMfDzN|Ktu|3zHc_j1+As4t&AzyqXVy?2fa*2A|JdlW
zGDLhC^kpggR)Kp#LG?BTQY*dhr9h6k&y+9M!EF9)^f~pJX6gRhG#Xs|SbEW5>}!L}
zVEfAxR_(=Zw$R!Hil(FBIqg14?Q?6YwJDHOf;{VeWZUAZ9UD|uR)!g~E9iEh-%UK4
z9hBNweK=H6e~f4QzT;IbHM=@bgRu+FurhwU`F9|dEs$V%D5udOKEuH>?IdR`5N^An
zs#~aFX!EFlgPNoF?%m4(Cj<Cz=U9Be04A;Fw}w}Dq;O<A5ILxhfbdEN4TPbT=SZD$
z>MJ5EhVQX&RJ`6-luwr1vU#)Y;#_j!K`Cdxb0IutW0dzF9`54xQ?yqqo39h)mb801
z%oaQR?b`x8m$dAs=a##k{1ONzGW2fsZES3kXz{W)PVYLZ)1I!EWN2uZ4DL4$__NMe
z+xiGGO$`k_3?>TP9=IX})K7SLcp=%IXbRItUmom)X(NK01=ZaSu19Gx2aoJfyEBMD
zd7mZ1@LV-3Kk?kEcw76;^cz3APNY$P0He2xPWw4`nMPSLjdZlzIUJ&}&=$YZo)Mpx
zeXrbS*<re`7<FxkxK44uwJ8#}f(HSBY?8OYc~Dt9R^I58ZDTvMqa^{oK(Lqvaq@dC
ztd2+oWMCPzPSo>*b{3)6sZ<-FuLQh5^BCjjlC~TW7byNsbr-0wuC6`;JE<$*3iY4U
z{DJ$rVK{TkmoT_^odPLazT^Xyv{};F3fPNsj>~_WVbsM>lauvbLCFKIT-mG6y9he9
zh1a`J!W@i)9%=~<ShrG|t=dEbSBmmu=0@(eh(rOi-nWjpye0!(C2Oz{sxlnwUI-hX
zK7D)m=7kGSq&%lBYN&u)01$ney1JhB<=H7Gs23wQ=xgR6mu@KPYH1a`e*N0Q#Pk5}
ziy~N?HDTBMs0}iUOLN~Bn_~*|9DAi9^vyt%xf5^FFnP!70q+Y0%s}5~lbY^uD%)wt
z$hKsNNlTNxf8^I3tABH>wBHFd4W^RTk;~I7VOeGeEqZhG^(nijPY1ucGqVN(L*U?*
zH;tBdbR~iq!Eh?hs)`zRNpqj#JRp5N58!dKe|iE}{U(aUXG}1?0#RRG;yUsusiCb?
z4fqxTI-}&`hBgSf66P*LbjCwNJsq^ppT7vDKp^99!cWH!vI<n+%($EA8$eh9-sz%Y
zj<hAPvMiwSJPCeWs&;fLh!+{7t`gV?097sZgw?0<_na#3#ONYEa<+Ne%8D1BLT<?D
zZ|i&qWl11|%*`;D@$r+r@$D{ni7~XzEG)wC`iIGCR-;2}IhN&_&Xx4H<d@J`K+R-m
zVztD`xh*VqVoQl+a(ma!B6yP$JS7$6BgW*RqMz9L26IldO{K=ElnkK-_uAE|1`PF0
zK>>&}y_qJmcMp!4DUS(=atQWR#tyI$z}|t}*8Urp#mD+pFpBfcYqccGlcBXT4%y*O
zL|twOK9oO-=9ayNR74XWorVLV_-yd;!0Ve>u4I(^Gu8%0fBWq;bWjbUqa?7O#0Ty~
z5&)bDbcb9WmKO>ylX|5BHhlX77<Bdxc|E^ePANt<Ze!vhB{AP^)=yW3PJH+Nee4FS
zj8mU1eK~+Zf}*kb?XiTz%s@FewBo^@HcxVoboimTFwv$?>CEi}9-57Ag@D2Wjk7lF
z#{6E5xbi*8quD|9wPnie*Y|~%{ECiBJo4`6NrV2SVCpYIV+;oo4=zzate?`9RJEWA
z3#;4pfig1)=N1@oYN4AnH(aBz;n$q-`=j7sBa&190@`ebjU&@S9V4`bi6mt|nrs{d
z+6Aod+&u`dM8;}7<A#;>biRGt5kOTv;IJO(OCN{)0SdFi$|(LwZjX^O1qu&q0%Bs!
zebWb6t?w(#fE5mKtI6(yG!z5C7mFmr)_~X`F!j^2PNOZsN`LwSma&M%l(^gDBD*J}
z3VsF_TnU}9PY_sSHLwa%hy*=>ZkW-$aG`ym+=s$`EAFmnAp2H!b|bWPXAU3020C&s
zDX_4z*7x?7HYz73COVoqM1O8<1ZXWl-?X#j3*8Tjydg|Hetl(5I<rv;L;}y4U8{HA
zF)eiFVFgCU#yT%!bunzf-f8doHxiV5mc|<uX0GQs|6^_KDT%^v7l%_KEnDAM*Dutl
zZ0OzD!tRjg3@*!V9-j3(Sk8u5LEIG;72JwmdBZ$Pc!=caphu5>0h3Z@Qo>hdVQ~m_
zP3cU9IodOX5(ZcUTZ=N~*Zv4-@X%2c!=V>8A`Lrx|G_s5_)Gh9`uh63RSpkjSo%y!
zLEKLic3QfXq*N+{SK9)@CNVEBPddHP530@2SL-VE%njjJ8A#vjrEAI-VJ$2thhk$J
z*uiOFF%P<bX|Uuk@tnzlZ4_zB;7ZUSmI9tq66M?u_7`Q{_)};(_b?;^Rv)8IJ^v4H
zyJ^MsY=BT+dH2sZLgL=;NsefEf55pc5g4Y@`s{m|sWmk$=b$aA*9c6hG3ihrZ98hO
zPT%<aNIe;rn6QbJ!!(TW<jHmlY)BwOz+1znFX$LGM=AT2Brzhf{`Q5=g9EhHrT{1C
zSAVGc@`VUB0BumH#{)frHp(DsurC5P?nWE5+2F}wU`8DM{ewH&Z?5#u_}i|ote8R*
zoeYLFZzxDUdD{9~C8HD~)izf4#yi^Vd(LbCGErICE_7=Ym5L*zHokwvB}yO-c-Paw
zrOs9h;xMC*HWUD668cL$6=+^P-gc8b?OrQigR;B2y5yH99^$S5E*M|D_!Lb6;-_58
z^2za2el&O7*LU|q#`yhL5=VxIt;#{|l3@o10dzurXJ@Cp`}otOCI}${`s64$;=$Ud
z++yX+g9UK{7|Ygf$~_TviWP`K0a$c|Y;%%)FiMoI&1A@(Q2gv6Ud@l{#N>g3cI<~W
zHHLc=AeKq1a?<DAMz6qT8ZvZAvLz~3-ho8O<MSRr1TIz;S}ak{B4%n#9Zmcc>c4Op
z2PLwwN6As?7%V~$gbn`Nhi#Oh>N{j`&&8q}Z0O*46OYwXu_&RD!Vb^T)vsQC4Ugia
z%YWkPnd}oSEiDo8@$nr=>YO-8@WQ3F`FaU+bbk*#rtQZMA58iE7W63b7uY26d?@R`
z98g~}w<rsi^3UslH=_?h2B7L)`Vf_#L7fGp#6SuX!CD|FOc%Z9mUB&BL={j^F3`cz
z^;bn+bFb0N#{t*HPqzUhyySMUcA{zR!H&Z*<T7hBG9|atX>q#07c7v1E!+29hD`ze
z_E3yTu;=U=C>K*;#bgjJ+0fD~tllqm$!#<NEM|O&29N+K+)%k3f_W9llYPYnBNPe_
zt$MIWVu^D};!Fgz!(PHRtKlZ!^XDH(U3s@TD=)9vzA}!u=UCQiz>yF>B?k@HyUCR!
z_LQ&KjS(!tslUVw(%E>dF*X~FaD~{&w8|r0a2pHv6KLy#FR%##Q}Ul~B^!!3?)v?F
zL%d4mz!Y>-!SJ_^?%0H=TwC9B967uW9j#VJQvc}mNo0ui7P7T!E9?OC@Z5&X-l;aP
zLY($P*B}<$cpy;8LqnI*&ZyKNo<S!CI!Z^Ab1r2C(9!}>$EhRBM4}wnR>%~(Ef1vx
z5K37Pmy;b?k<!<@n#pOKk?h;Z)}aWrL_o6HLHh(#=nxKD6^I^FJ>F{)&>`bgUP<8K
zQ%v8s>xf+s(H>QF0`|}vqEX`+1hkk!r{`xS9vT{YE6;`48I`eYABq5-m&he*{Mn`;
zLpNR-O%}8!K_+*0GoGpQwE&G3)Q~8fz3oq@U~zC`ZW*T-&|y;OZYf@Q!`5KY2Z&47
z&@TrA%|AiUV-N_NTwKk^j}z1;6)?K+v2<2;ZYWhKYrS>r768C=freM7)WOXH2bT=o
zF$D~^LZ>;T`To{G<OwW3Wuecepw@|`6$V@Aa&s$anrwTHHN$2@w7@B?et$kKv<tBa
zL1$!cu7+Phi2<Ct9i|aBjmqExU>%GhWi0&`jj~}M57==YXI~*h9==<CtrA1G$$@l6
z=^|?V0|1(VhIJ-a?2)h}fCpv=93M7Pw)1byvO-V2=_A*sKp)tu*>}?B%gaQx`vUt%
z1_lPAWSryp{1#elrs`o+3N(Y|Z_X!!CQXCJfvAE)@6YSH2vHKXXiH?r2LI)$jMb|X
S^w$u5h{jo+GdZU(-~NA<bcx&m

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_images/histogram_example_2.png b/docs/0.10.5/html/_images/histogram_example_2.png
new file mode 100644
index 0000000000000000000000000000000000000000..1aedf7549eddcedb39e5a3e46bf401e54d478fc3
GIT binary patch
literal 12592
zcmeHt2T)Y$wr*p<H0sPSiW0{G6DWv8k)Wa^B}mTbAUO(6l;kKlCQyO|B?(BTRdPld
zK|ln7rX?rIIZJ-u_MEwO?mhEvy}I@8t9M>Ksz70P@Ba7yueH9g)?H;qnVs92wv$Mt
zopQ40RY;@_-Xs!T*H(J`MetMG7yNUId_jw>YHLDvzG`nwQn*UCv$7>yng9B;ld-*n
zxvdR9j{wifV?Udb$#xE+yu8-`_5vPTdsANSTRmF1$u>J#Z3hx*_f_JXE>SYUoJ2Yi
zA$R_)n#;4X_8WRs_2TuZ1^PU*Z7ts3(mls*<3kU{I5z%pVNAsJ<4~L;*W>V0DqIQo
zHRMegn&jS@A1S|Q_3>J0JA16T{Bu<m#h+!YGX(@$7=jAB_B<@|^qO^ua`OIR1M|F_
zIJ^Jqqlu;Tx%Q~OmgP53C)UP`Sj+cuU{P9S6%Cv5Z?xwRBsvo5m=tLfiS+V2y6;J(
z(vzFc;7axP|DqSX-JEFp&PTbpsv3+*FZccBBh~%PD(0f>-06|?_U+rBzW+XYyuE;%
zpI<eAJU^=KI8=W@KcD=mIm1-n$d64t`S;(q&W+HN`uh3;;;dV<htdniRhH++_Uzl2
zI5}z8?y=CmG+r>#Ha;;`!5&i9U8ia25r4h6{HTbCR!mGxIKQdi13po^E^nKHF`><y
zHy;%f)7!zwLuQT&4CJ^|7PE(2WAL#I+hrG*-1OX@?W_I5C7*6?+~Vm}teBu`Zf-u@
zQB<&D<HkLE_r5r)`eN|&E2EHQ!)>HJI3NL$ckkZi550Jr>AC85@Zdr7%7BBzpI^lu
zQhb(}iKwt{QKJ+uCC`sG$I7sKGz!|ZWSWa!@45Ztxb7iCLqoaxe8-VY=Lv&@hYk(r
z4MaAC@)-pM2gm=wA^m=zYIm`WKilzyhNR6q_8vKONLoo^F|NM8Uf|mM@3YJsq?IIB
zGew<76SuIroOvo_oqS?#p=7;CBTXm%4!ft;LZ??rQ<`o<Zmvj9v`!eY@Hbo7)z;Tm
zv#wSCNPJ!v%|O-Ny^u#Q*Dh>5mNdygPhtwa%Wyax+pVgi($gei@?jqX3yamqXQzxF
z@R{Ht$}1`=tXeWFQ}y!dWlv&jY>as3S6|T#z1n3@Vh#3L@o{nc<oY9Tj9<_4SYKV}
zA5NhN?YdKTOzUMS)pPVSUqhz3YT%<sT^6k`uikom4clQPfAOOJm~G*d@8fGvj%oK;
zT$GhPfm3$0ULUjd;t%*>Nh#{r7zh`%<g(u4UHxwV8Pd*seA2c>b5ErGSdJP!ke8R&
z%lZ1%B|_x-xy8lB08f|Z>>CT?^0KmZ6P^pFckVlJhS-eOsc<3d;ibj4JO{3$M?WbD
zw{yy+_pW@7lMB?7TwYpAR*I51S#H+z$KCY#y~lMD9R@zO6gb=ZOfej~q&(AKqu-j-
z=~?j0FTZ5E%?)!66x#R6Z{D)S^8KR&HZx=G1v%-3)AH7zUv>|ywUW9R&3lG6kh&`T
zSWZ3ft?;)Ts*l&nC!5E6>|&QVCO5sXplM?A!lrOadNV!!aImJq<FanMksGsvmusF1
zD`{(Mr(b8p<2--+ijvpQlrz@Vbp<cv;^d4wx2#0r2#QmT5Y4kb&9cjJ^z-HAg$auL
z+W@DDjx>hDiizqe8o}f1=ItcAysh3Ork@fTj><6!+dTX6#~-=I8e(O3(`qeg>A|yQ
z%|-16&MEo@PBtDBxxKrrI|{XTOMH!f9vkb}7pz$|M7H?+@@o3>(yRNlU2A$z<K!s^
zQnw)*5n)4!ofNW{nVDHy+isHHdD5o3=-a-&$*wc~T)e!RdU|aKmu*_J6_muLZvV)@
zpsuVOEf;vm967sv*RCg=tf!qWH8(eh3)@Eae~cJm%E57ormQDa2$h@FMvB|S%q57D
z2cwbmDPHSqHoV#!&**nE5$8^!P}X`S*QAKkcfzw@U4P6W!zsteqgSWz+#ZjBw?qc&
zWLt&ZyMJHMq5o2jk=&lz#`ySns`jea+Dw$=^cOkW{8QWFB&j>Q%)d@{tNZ2k`khuY
zFi2mV8PNQ^u)5GW@^z}$@iG_b{&o8A&)mwm@@50h^(-GBU$~g-Yb5N8SQ&pVNlC*I
z8in>LR%Y%?pi**l^cg&nMMq(t+w5RWp2NWKs|vP;v7F9y<noatM`YKhdDowtM!HI4
zt;$H1+3q{+7M;Z&jvCAAn)>lrk@nrYce!|YG<0;riL|Z^Jgj-jq|}=({G{<c6;)MY
z6Jw<ARMplh6*x~cRRwbsiQMkFJm#puPg?#~jILh2+Va}?exys!wxZSfR=2gqfw>gJ
zRe2mVtwBjLZDqw>e6CRy8B-s9_Lg3+NlkeCLdOlIz{5&SjE3$ph<mfe>Aw7l;^m;o
zNFJjHzPnhH5fo?AbaT=JTi9K{{D90<NJ>f)b)Al*-_4df5anf16E0ZrCHKLD@8-ta
zb-k7vqGsQ7_$T7P@7=pspL@NxvBYa#G-;1_5zCA0^k3;o_xrwlF{_I{tCMGc&~$_(
z;G(y2D~WVv|AwDQByVE`Es6AmIBsB|9sNH6V%e6nhV%$S+mclcWDDy3B>5D8lnFH+
zi_*!lInK_0y4L3h5^otYHs$?$S)~v_tVLJp&5ij>!ztqWzB1pFc%_ij2UjOa+qZ9@
zwiCn+L{W(L?B74MByPj8q02b;>uXzO<?jJs-qPj$)j6Z?-OK>zU;nG%?4m$w%QO!}
z%}PR;R(IPCwmWyOHuIf2bt=Exmze-TKi1P0&999e4Gv=?5?mEXVjfGGZu6r_v$L}n
zbDcT1Q8q<$8atT;WPxJgd`7;96vE@OENM;G<FQ$h)IS<FH$LeuyJLyCrjAEFejMX8
z)?(iM)+Zn?UB6(s*I%-!=iU81?Cge`#v4c^muIw1rG{L>!kX8wU$?QInwr8rrGt&C
zs;bm9H2Pb3jvr4;ndX%9@$o^$Olny6_P`}9v}@>Om$8dp4A1S`w+F*5)2GP$4Junm
zT54)>FJGR>$;OZ1Cr^e)n=>p>;C=WIFUWO+qDD<EtwbLEd|ct5v-f)Wd)a~gy+d4G
z*0|R$0qd4a1x{m}o0{k>H(pWr5Gk%(Sy`DrR$s4jL0Y=0(jz!1Xb^9_mv{QY*&i-D
z+Oxl`jTy^pnOal1us(m)Cwru4$iC|!v8*7r7E0~Ofuy*&+a#?msXM*9yStHDPL|wA
zFJ)!rc++*xqd)%~-C@|X_1^FG>NIjXZTa>Bmw2XO0NFUj68C7D%-z7mPH|<N<lV!}
zoH9CUm6Po_(sWcvs7Y!MqN#B=Wt(?`VuZ@svo{ezoU4<3yf_rDW5<GK%c^sL8Fq6e
zNUbb@yZCIKR7;j+NTk=AYtd9WbNDHT7l*61kVuKb1`H(0^%aM?Vd}*qx48h$gNF~N
zXi^NqPdle`4%Nj-rJpz=H`bEXkgT4PY11w`H`=TU=F)hPx9AU<Qk*$uK#)e-#Ui5I
z|Kr4&lu=y?`duuENY<vS>bSbopZ1Inyz<Q4zbcpf*W<(wG&h&d&XO-&xN!8u31xr=
z3Uc+q<%Ib7Brpo(L((rC90W2&;EW@ap#dhpLnv`;q$=CnzgAIE35trMM2g?wl8`XC
zvzt9VbA7t6TF|oT7?_pWz{d!;#lDcNU*ByPpMK9Vr-#CKW_3E8lxz0s7llYM0z!tH
z(w?3?d9pE8o8Q>PM5DzEb#Az`q{MT%wUdjBOCGpK1%>sRPd$J)8x8ECn_O9(sj9A4
z)zf>HQd3bOgKAJ!Q<Fx%RN}cB6cRG9-5vN$9j2xT{`$x7Zb|!51y#dc^1WM>RaBl&
zPurtD<YnFQ@iC{R>j(QSg0-at1pL_UK2vkDd~kW9gjR$^s0{J0{)f5}u?_Lr$Uza=
zsKtN^=r){`FuO8S%MDmXVb3O5EP=<T4hagXzj^Z}UH96xYvLN;kx0s?3wyr1A}jm5
zyN8Fmp5ADafu3IK<m9A$#fLC{8E`Ec2py*!C~1*mltkK%@jMxSiKRq$cP^7&2ny~~
zr<$|$b#&ynA}=2LX+EQy1sR*@C<=~<7_)E?ji~zgQNzm0D&7dJSM|V`#ib?rfCqfR
ze%rQgMdf(Zx)Vt8YU&=pcR<jyXQ{VuZ<-rwknvcaR|jkpANa=~=jG~eZ)0eDp}-vf
z;)Q$wQSdL^-<yQAzIXTTCmgMS=|`4_ET`)CY(gO^e2gLt7BTYvF$a<Mz|5amS<`Uh
zxgGmdw6q4D$|pc20wHUR{Ka3~+OnHVKtPQ{#;<Y0YyF0j0&Wp)0Bi}0i;Lrg0#VQB
zJ$$&rx&ZJiFDG{yP%o|qMO|m-@=nkjd!8uqk1%_H1RT)vCH)ir{{IXA+qR@UWy2LW
zxBTbNpZ^5G8XCIKy7_fqz^XsHWV(67i=)5%a*mFUE`PqoG7G}OEqO1}i~n1Cy+)b?
z5V$!wq)<n|P6)YHyfS?;%YvGGZhdB;mQWw~e{hHUi~=DEJKbj<>SUT-UVpdoTXt>p
zzQ6Z){g=wX;Ly+`a#io&*8xa^!orfYGfdP6qwpV4Sql`1>6w{8PSh-_X(eKWt$PnI
zU6iDkfvc-4c(g;-;@7W7cz6`^^74ZHTp{ZSNF>&N?ARqp{fJ1n;iJJJA)2m|#>U26
z$B#P}ASwlf41OS8l$R%{HNgtz@ng@PJ?f$+$Tqi`8ew%@pr&YABGGhm?P4O`rz^Q8
z4*x^Gr+vgzL`%3_ApNO3%%P)(p|zy_+0vk=)%Ne-ukIHnej{7)nMij&tB74R8#jVI
zk=5Y(&cCb?=g*&i4+33WT%4W_N|c<KC_7La6;e{-<-><l*uHgZVtWr3KOFX-RE8x8
zF7X@l?}y0wEyYX2+!xNDS7Tbkz7_gtZaO0;uc+8`pSL&>E`<7N=kdnIBvr?yS#w&!
zZ-+01MxzE5EGb2ZszcjTXNMZ*sG5f6)MRy{0)hew{F%}3E|vxexXqfep0Ym=;84GO
z`7xAPmPrj0jah2@jvalyGhVL3Cr_$C%u!MLs8Du92s9)p(aLs9jwT(&f*N-KS^|QC
zh~f|@zX0B?W_JJKLux{lr%r`BaY)AuW_~<@S0-1)(!E3(Ba9TTOm<06y|LDug)<j$
zsiQWQ&JMmou;+}lwszPqHnG8*_lT#Bl1Zm?M>Ob5QuGTnh$=k>G%z+bohd5Bb;mzA
z=<FI3F9&eKV?m+J@$mHYBqYIGpB>`LKoReS8Cg={*Y0Y9;dHLAIs4qc?eZKop2Y1s
zYjkCPtaYHW05s`kK!xO%6Q@t>LSc!ze|_0Xdo8B|{d^}G#cR@lZKpRPxPd`QEJng(
z=?L-(hC^T<Zlm=kmhJ?yr~1k92535QZN!GRy4cbwZydTN&`nGmckp%;V<H^}lkTey
zx$zpXKpJtGJ=ld!C&Epq#Ip#J?trAEWX>wGX<FGBujr`8p0s9L-}Cc(!a4T&Rhc!r
z?N;n(A~ROQEMztLr5&-WRT)bo3T*V6>+E-3P+UBVDicK9`crX_&sg1L&zu*dey-hF
zaL1NcMt306#Z-U7nnGsGNP2}X*W<_hCD(Ex_tk5^y(i|Z!A23AHj&~j`*2@Bf%l})
zr%zK#OV51MI9<VFOFvGQtS^@oSTh@u2kQ=aKmrm5*x&Zb2CKt4*|bVXNDQ~-We`Gf
zC#z_q6cGz9!v6H7ng*`#0-bk5jvd5r_ot_)GaUvL<y02N+mWlhyEU;tT}9Zi-Ru&n
zd`9I*4j+~|u9NwQlNBLzi+-nyhQ^a~Qc~jDY<LLG>A?c;iGm4<2r*X`L-#2k!ptKo
zPK6&U$^;c!d!n))TT%E#rk0ehogocLtqB&PZ{42nsOsh>YP*5hR1P-rje}&-zJUSF
zn0BPEVnV}4f`q$BVvUCDOSEtakNo1*d0oxcH@CJB<Z36I*ymfp#7lVb63MkGe|(<0
znpzOyE9_zwO@!@1tiYjGeBjR&Q0N{!c%bI#S=>Z1L_j;q1>`%8CBr{cdIFZ#MHREB
zpN#dFP|2}rSJTnqLQo%&@*ON*9&dmFnZRsYc$tvdoon;LN<j#;t~s$ENe!^;T&J($
zbk#pIvaqDWhBN#0`~q7dqP%q3m6NnKvA#y}-N~%cw+3+!^Mu02jfi=9M`ptn@UVFH
zb^FVKhZM+P-amFr1tgWSv2F9VZpr)vt(e?aV%;i)>eFaM<mvpREQy8h*W3Lc!eWVv
z@!1((Dp=#7;rg86p9%NAqEu}Dvyt2KSdQaZ77e;i4n!0&+>&*1XlMuvpy3&Z?|wU#
zNGw82D^$p~BQ;4i!2$;0$#U5MmR)yxdV7N-BZ;#9=cCS_t%EZ_kVIHgd}GZSGUfXm
zha2UN>t@fY$zgRGlY_!HWmS-hj=c|s-SUYvw{)2;@Wvr2uW$9nuTTDaNk<_U=|w^U
zHz@GUn>Pt61`{?}kcXT5;;uVVvC<EdTZv#}BK;?9y!cD*>hi+K%`I$o$8*|Ll!9?o
zE>A$<K=90`zf{U!x}=8i2!is4wQ`i7Kck8du66#*$J2tg9b#FwoyBY^2&PFE%GPf+
z$iN`7r>95H8u<vIRkg9P3GOA55(qC3GcUDi6?Sk^W@h6U!Qnmw3XdH<dfC-A54L$*
zOWE7EYWNxoMUBwnEm?VO;6C-vqEpGjBKfylxAb$~zkgqyOqdo7g};#2R1PaeHlhs9
z_1xzrti+aHliEnaGR(Ev0@YZ?g{L2uW>8{OW<GcB+?SD&l%AenbLR2G=gu9?!Sy+s
zp(S8|>6Cq3O3e^iJ|JAc{5d{Vg;kWCc!KBWpU(h6v-HHjNfHp`wY4<@t6yhi=v%``
zNAbS*@L^hA$;A+!mST?rsAj#K&Xs;)CIPcY_{GJX5t}IpMQ}t8!XNgna+HKeV~(vM
z+`AzlB{nyRQz7)kS%m*(JR&T4$96|r-b33@&wV)6&43h>LJ-sd)->>Av+=e(=p7X@
zIkPEMyVuP~_UhFb5U8Hpa92u=r@~1`<nRT8oJ=-URQ!0bf=4$yb$$nq)XZDtAoly;
zJ5v9>!TEn80se3PjHzT&C@M-~;t|5=MzcdV+bZex1i_<pZSpRljHsb>>|tbdt|XXN
z$6Lz{UHA5I6B;Zi=qDgUifL`+J%4{1>@V&yG<ITN8C6)6`R;_0RljyEjxaKzothl_
z@b0;4y!-iu`$TC*CnQ-n#|GS3Im4s|+*sRuon~-Dp=7yzf)HY`s|Mpk3<4U4)SR50
z#5H%JT$Lc5BL9*eQ$@?e_)W>(Z#U~ZQq>*R4<Q+D)e*j&FC;NIGWW4#AJW9Zn_+b&
zH}SD~e!ZGy)82CY{F)lL73?*=R)o7CH_*NG7L;yRpU%rGH($SgJ^S(W#E}yxURHU+
zO@oW>)D9nE<dr;NwxxRy-3d<4^I)~#TrOU?TrMtO4^~Jlk7f{WmspvUnj8Go8{mOW
z`nQbF9c>{p{wX-CmzNj3+t#t2ER3CXKQJ@v_T>^*H53L7eV4`rrKqT)C~t2Pa4fGK
z8_2{=$)#5g2nY-ee)K3BtSb?f4FaWMs3GB-)CfOu^*305v5k#ta`lAs3`g7o&NAqq
z3YaYCP!%_&5q*!LSFX5SqabQ7ctI1)d;#ZiJ;;QkqM|yMO{v$5_+Tk2OGvCczn$@6
zG^m3q;0Ww0U_E^B;02UD7mp{ziBJj;k>p{X1mKISJtQ!&H@gU}gM3~<W;EUOJxijO
zs_e1p3_k5&wz2yEj2TAJ%Tqyv_wto1(di{?ZfOQZ`H@_IgT?>U3G1(UD(Ez-rSMGT
zGE$bBcsW+UqVWjmcWfj#VW%3R`ZFHai9_pzn~(1@!6BukeG$PgK79Bfzs#%s`aCK^
z!>!#Ci4cDlYb%R{^FCW4x%TSsH&77MKVvQ8wN?n?D{y1pO7p3|zdsN<=;>44q0qKA
zJ?Qa*talX^BQWpNrak|($|ca#<pfU8o=m2+fh%#!$&@UrbcRHv&GnWk#@{J^%o!n)
ztLv%2!j?|o@ms~7;dADfW8&C7*_-Akn(tTemp2YyXJ!B^fQ3V}&_KI%Z{P<EeD$GF
zcn9*!j1bSRl7IKoedYn~Oltb#u3p;8rWL+L*_2B&<ZYAZ#L|@+>A%~Dze%7Q0va$f
z`gLcR=BCo6lX#w-3|~MoAw4OcbKIv`vX(V%&CLl*(y^<Q4(UxDe#N|@pZ3*tnI+7y
zcVNunnx~-YgHPB|Dmq^};x<M-e^qQ;;*H*xm3dwEl7oa+K6A!fR~K5zLW3-bd%E^9
zEdTN!?rAg<R&u|vN8#tcW(nj=R#vIHUUKN>=m)PNcOk8x(FMhQ`Eu<bCubsBwZpAB
z6g0!hP}V5n@&SjSt%a;xj=(<%5b#(c6K!9@Do@MlNKQ>XM(7}PV3Q6f5QSg><pNqn
zN5+rk6Z*jr262OfW@*|P<#W>hZ{MC<{JPS)t=4mO$s9GyZS+;ew~m%-f}-0(yE8#L
zTrIZSY}l|NC?G(k`=F`qn-wNW+bE71%auY8zYn`Z%C1^@?iN64_9^W7*2q$0|En>G
z)GcTP*2DP2-ddhw@w@2RIeFoq`$2n_;{GFVwJ7;&@il(t21=nI#sPeMeYwzMeD&&;
zPJvUJZd3)kmmWm$SX2DP5YcBBsGdVB_V)H%jpKGAT<$ejq_ic6LTaZlMv+YRgJ^M{
zGncgt4G&KyL=1XrnkgD-L}q!wYnD81(^nNdTpxd*;9IM6G)puqY?dGL5oRU2;f-kM
zV+O(;0?|?MAs6+UCvWlB=QeqLd$X*XRS4YH)6?^*xMDmaX7%}H{xkV_i<2eB)lbwD
z#ZR25OH;yHl1v;}MC`7_*Ouwp7E!4QF{#}<cnhQ1#NBcw8czucX|TIbzByPS@MORc
zLML?#;79{)Vki)Uv^DgU8;CPLdy75^O;~=D4|Onr+s@Vh&)C6;1(W(x{7fr)alYT}
ze-2g4&C9C<=}H_#mg9&<jwhkxpvLra2<^>NwXR)4_GBbB!)7kWf?AbDIgl1LTRo7A
z{%cMiT&FXd`i{YCGm`5KX@*kTWe=H!iN4p;Y=aW8U6hdbgy{}!Okv4zoiTaHdRhat
zyAf?bLG1EFCPDerPNQ~nuKi)Avv(v{&cfDO8qKIBzuTjE1Z@Dg{we<Ed5zaR5gSaW
zol=FYK1ZV#p)F=HSQjJeG8wH~a<$AiFRgooQer@BNQyo*6X^Ms{w_Ohtwy*rcg*(4
z$YH9LAK|RGuApyzz|gRBdu^HTOJA5&S$mIZMHd!|5h=1XNAXH)wJA`5TE7s#%G@wR
z`E)W-GvLGNi9&};iQVF}kA^S}quV<8DOLew+Ohz^Z-R&YX8klEj03~NbyDWmRH$Kw
z#;6!3sM!N8igI#%aLiJR-de~x_UBwJqvxn(!Glyu>~vgxkkrgn424wQZ5Il4RnWpT
z%*15$0YvU0X9mW2xR%?lSFrXs>DoG4-oJa7PxZwmzVdy&WKjhS>?}e*+tSwH`#%Lg
znOPd4&=k6<Y7vX8jTri{McdKFz++BbQ}^7t-}1(?TZg0HR;xxV7EM=i9}*GCty<mb
z`fUL`28EvmY&+VXi8@wMo0MsF`;0I}U~b?x6feIZ*pJA2v%i%7$UpQ-K`etgBmTw$
zZ9LrF-G5?a92jm06^T$J><%I%beA#KMC3MvpMi6SYXW>bakZ;8=VfHLVN*%@e)s8c
zlzWfGLiSu>T!^8kHWa@_Yj&FM4JrLHM2M`4Peq&mYTJw*1_hvH>_;$;lL`mfpJL?L
zzo2UR@!2Pz9gJKLpqDNqXB+bzOch`ib$Tr5r#0y?P$N2lMUC0kx(F2wk=DjXG^J#0
z_R4fM6Tis=V%RBX-Z$G95*0vJPXy@76199~#q!uz@14pZY9q{-c(7<pK_z{R6erp`
zgwNYDkU$F)q_34&PK7fSe|kK(jJlVBAr@(Ej$r_|ZXd=>+fIpg`|9IFOMVM?S|nzQ
zjIUiAM5fjw$>Y(K--)gzF|PB)aby8=62m~{Z<*V|Jj^5-p;!~jCxvJz`69foHYZk?
zE6uoWZ8oCSj)R50nTp&gSUtxoWEHx$G9bwfbC4K^60&JaMBJnl78dfzQ=SZeq`(NN
z`tYIg#zav<$x0uuy=cTRjS{uCSnDNkkxL}S&K#@e=NL#)b72#T6KsPpB?fsmZ`w52
zabtptu#dHA&sT5Bc_p#V#6Vf(5)n|W4&kL0y3Wkv1$p`$!tP(~Xtm;Qv&xq)J!r|c
zP7&^Kk;384o=>7S;XoY6+nTf5DTb0BD4sfnF0a-Gyw)mi1ydgq1~I&|I`Eh_;;9v%
z3MrrvOn#pG-7)RZjPBove-Oy*y!2goZMmMsYfB@9(d#%^cb2FHVlH-RP5S!O2t&YS
zYjZphD+zuuMljamz?5l@VIlE{EWb`y^Nt`hG!aGZEzI>yPUCIbz-3|(jp!TzQO$bG
zAFBJFX*~XsBy{HAcgr7PY%2NDqwmoP(`Y#?CRQkMvFI2^l%W0tI$U}mZckY9N{0XO
zt%Cu5;g+24G&j~tQ!mI#jhZbhm^{hPFX*}Avbel#_}W%Vs|<arRg@VjTrV==e!sR=
zuPwW8NuKKT&Gaj|=E*4jPqL*o$CiR6_@`Y}=y!e`6%~a}Nndi&f%GV~j8l;k9y(YL
zb*Zc>&~k8Mf<jnh&J!K-3JU6g2~5cZ$S(_(BZZ|%R^GoF84<0%rfgJZnqkJ@>4z>m
zCQ3#}N4Y2oW@ZLntB%Bg91IWV<@diOqbA53daY&w?S^CWTQrrGyOP_Pn<kzUg&v<k
zU3%ABDJW2W1ZLVq;f$Ze(jW(>GR93SR@!D>!b#k|d$;q5s*X-Fkue>#S44GoVeCWO
zmGJY?KpZe#UZ06tZ^S^P=7gnI!{VwIJf3XZ&T%|sS`^vUK`+lf9yuyt)0P`GHj*Tm
z`T&9yPaVI^MAYc%L0#oz*D>3a0RSVuIVz9oWWKj*&!?gdD_p+M2!51txj*~Fa0w<7
z8qge`>AJN$9Nu3zy4AfSBM@8Ky~BaQ!N%Y<AJDV@0M~Rk{LzI_Oa&1PlwPs~!nj7j
zy#5dHk*9#PJevxCcIUZ8%K8#-U|^sT9D7rV#V-sDjEttRkcbk_yt1;F*TAX+6)EG!
zf=!0UvJ*epS#NKz5p33p;f6;|wV{R*75B>@GMoPT>#tnmCQ>?Os9NEedBZ(>=R;3B
z^gl?cg>hArs-2<N8s$EH*StRNuIqfWY0bxo(+cwP_oilM_z@${bK1xmbJ#(y6GaOj
zvaMS`Sm(5xVD`ck)vL8@AP2Kty%Q6*MAYZ-!4DHCUzrSb>AJb)l8sGzGX`w5VfW`j
z6kNh=#|Ma3rj->Sm}yhGz9o{+GB6~>wEV$-BXFS_3`}(oHz;HM;WbmwF~HUQfK5FA
z+zqTB?X@rjM>rZPVX#HR@caHdWmgFuZgi>Fb4^fVQ>mNXl+jsFH)7fmix66++eojr
zkAaoddS!K00j#Emn^LIKor?o_me(I{`JkkvWC)yh5v*dw^JFmCAM=STr3aUpXUZx%
z(AU}r5#NBOGe4R}8OXz>h|lW_7Y7#b`loQbL(wB}psH(zVX`%x=!n0)&Rn&$Up1p*
zaH_XL0q?A-kH5(MZTqYG4^@u23SKEC<y1uTl^0@WrN70JB8X&pfl&Yxw5x2EBNP*0
zb@*-Dv4bDJpUGs`oBnFvlGHo<^HM5TPzRxx;LKof6ez`qU=hS9Zh38OZKic=)1^qU
zW)817FdFbRJMj{@nIC@tf#VX)_tw8HYo=ll672z}=A)%ozL~znq_8=VacW^f822GQ
z%|=j|faSgu<)J#FVbJ;B(%#=>{{Q+cwZ=Yl3{5_SUhZ3i@k9&>>WY)P<RAjk8QbKw
zzTD{u3g!Z@I*}39!K0s;n1+XbBt>^jqGx7Fw7%dTs@U1RM6eT0ef<@o4^hRNM(spq
z>o4*Sb*_zd5@Q&I4?a<{UTnDzPl`Mc;Y@V!6`l&IBgSS4BV-|n6fF&RE_DjyvdQS&
z6GMEMg@r}6cL?TF^6Pcr4Y`8V*$h1=CV2egg)@q*;%;gI#K*4ovai=|VRw&4HV?xj
zQI?gJ^-$PM;@QDVxACPk+%KfyG4v~tEtZHZ0)!4JMe3Qa7mVj$G^+3m<|L*9m&(}J
zqCwcrF!qT#CN&BMwi1-s<s_e--Q->V8$Z@}y+J{^vfC~<+sMc$3+eog43t1lrbkgg
zCV(kJlig(jamZgT`0AfNeR3O&xs!>p(EQ_UB#R#)f|9!i1_rXn>_onhMGwlA-PuhO
z?sShuBn`LPmQcIi+?p%hxZCCVCDPY--*%+gG%C;9YiTH9xG^aZGar`Z!n!(TK-M6y
z*W!IBz)bQ`eajIB(l85pZ7-!^^1_x9G_E2{!4YDn8tq0)aw>9}00m-}8+CM+R<fp!
z%AD4Bk1pB<(@|PRZ*OlC1w~z&ALGVkwnCJI{z99B(nG&KAPSncg!N5K?-0rcU2dxV
wJCd?6OMlOuD-e{W+y7#O@xN*q_pj4^k*?`g<J8H3TSbz)pm;w0+?C({2PJq-W&i*H

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_images/missing_value_barchart_example_0.png b/docs/0.10.5/html/_images/missing_value_barchart_example_0.png
new file mode 100644
index 0000000000000000000000000000000000000000..33cb7afd224816d1d0c8e9ef2af37cc27d3bd277
GIT binary patch
literal 24758
zcmeHv2UL{lwq=>Sjh)msL93;xBozS>DD1XdED%tXAVDwyB1wso>GrB^L<<qgwu(qb
z5fG4MLb3u9Bq~WVl2gI#^JDkixp!vXd$Zn}wcgCV%f2X8_1FJ@-wFHdv(I;akE-Il
z*-K}$Sgd*6T|cX{STpd~X&GP4#E;`uC64$ZWBZG??LI4GTZco|Ml6*>wkOQ3Y|Tv%
z|6p%qZDVR>DIvB+OhV*`W45*@Y_^GuTm1C~F)M2m@w}j)3vrPzPwYBi!(s_MrT?Z_
zzP97ASca>)KmWM@R6u*R<4sLF{=}!U{MhW<zyH4M)`zpYV(X6It$U}XV#8J5w`ZSl
ze90o=+=taxA#N&s*ZhSRCs#{KZ&Ci?=kGFI)qa^V<?FrIelaxetQB<g{rTph?+<mp
z?>?nhrdQ@W>QazYEAi3pq`XWsC&W5QZ$55@wP#n<26_4mEB3<|9`tjM;nW}K=XW<*
zU(nAPYgtqAWBadPdeA@rE4-}TrnF%DGtN-mX}SKAeOz9A*+JPT-O<(4aR1uA`?a*1
zqY`VBc;+b`38uAau5oGUekD)k@z$2I7=w^3dQ3x^?`7@H?Q0yHja}6eS@g;6za~wM
zJ)`T~5#N@Ob!CNrf2nTFZ^iWH*vNakebpV#H7n|>*?i5?eeCJhRO{3h<s%^PwEx6X
zdJE^gl3Z=3Xa@cLKWPc+Dd}>LTpF!q;!Fw)@_Z$FGiM3jy?5_k(dr-L!otIqMh80L
zMp`36k7Qk0@2%u5VCu_k^7hlm&CGg7+G0#PtCGA0W^A~foV=~KDL>b_E7j+%rmkqJ
zQ@>J#rf}iqc*Yp^#8@Xi(H;}_R>DQY>-N8Xa{Tylbuk|=woP+Eep^g>&^+m?6Cp|8
z>|ssE9koh2540x_X=!M9+m-1{2X3>|35$07O)WejK`PETKc^&YAO7c+WYcUs&|cAk
ze}*WUeK(OvcGmAFV`E%BklYsS|5nRDf9!~NakxfAWZFpU0f%b4wu8<S{6XQZZytVf
z7s0#t#4O+p{g8bwksmFhC7XGnC~RM7a;2Nry~5|;v8J$C9!{bz@2qei!V}t!@yFkW
zclL^F-4i-As<0TJX3gHs+^@&fZ|TjfTN%^0)34WUobna@{D+ryeqXuc?A`qvjP6{P
z3U{`6{`=QhQ~bFYrO^4fzIDJ`DP-<4Df6(d2PZmCX01qEE@b6fAU{}j9lu|`HMTQ;
z4gbo;XuFVE%(Xu(n8rI$yg~lOg|}hOJ#Vjh2i-oXFr2OSaAJH^%W1C8_sl(LbBtA#
zYl8J!)@z!2%JuBBOy>_Qcj?ab7C5u$`J_3`cpasi$QC>}LtD&8SZ<!^dB$(|uuKB&
zG<gl5vIGl76RXtUn;zp<P2C+=X&QR8wM0n`&%6CdfQ@QVio?TFo$PPbwmh-Vox!ba
zS`u-%Nqkq3Zcf*GuT%W~3FqM9iDB3Dz9RPl_pw65mzO5YyV6F(4wyyt_6}59H96Og
za-9Y_TcUK{x_6XaS~73Kmord4ZOOL21&)1h_BxJsgqc<*xJs29*0-mP{wg!_vA8(C
z?VYk*=QYKh4R^f;cJuU3zUXd$(wkA`+@&(yW-xKpePT2l)-2o>T`4?mmK#SXpqn50
zU}xFLxm`u~RC+#KOl&N4AGZ;38+yOnUrMy2GO_TUzop;l`P<gjjx|ZgHTjuIow}kC
z$l4X>zfIDy{_^MN&GYvuDPhOQ3%Xqs(T@F4puaC}XjG&n{tRctq$t_$+}x#oe7#fe
zeI17zO{@p2rJLe{<-=<R!=v<j3e|OW{cHK1{z=14%8MOc$HyEU-=E3qeLBap`Rp>W
zY{%y60Db!khxH0OEZn+JACWLG4_<Vj_nnz|(>pVF|Iw~=Ngo5whU(;~l;=xK3S5K~
zhB6m#wr}TOe8RD+d2&fmfm5I5SvWE3J|XTtT3P$BEjp!iG%mWeYU*6r%bu^!3694{
zrVfm7dBV{{rpGxt^-EiL%4r6RCrS<6>&NP5`53*r`XH(O;d?BxL~*j6f1Y3e!2-En
z8^=#C&WfLV(*Dq9Gj3}0iMo};`Bs+Mf)iUg6TJ!!%@V;f8@ZcLeo#*8ek$Q}s(oy@
z*Sa-q^k{qe=svj45l?xkG6Q#40jH0DTv{r*A$_b-Jg!v7%;?=CQ<*xCX+7`EVnllj
zlf%DaoJi+)Y=fAmoO(e=V!F<tPHoz>-dC#|<$7Kf3AVq9)*oH&KDNM%9g{lnQ)g0h
zVQ$~JcxvDN@v-J!FSft=LzVHqP(_>aLk9V!x?KTjuCto*B*b40H`fMfM(G%3{x&@P
zHb&L5+eM8tY?wCQZ_tpKo+|0w>3D3UuVNE_v@3Xy*yGhHoyi8ghTw_iehxK`W)F_U
zJn1oU93NIJPO|Zl8|!|S)S2AY6C&=qKBfJkGN;$Ku%SJ!uwdv@eO!%GTVtR@O?HJz
zaB8^><Gs0!m%iV0yEDH2imVtSZ45%uX1=ASF%ucL|GM1z)p>-bgIvy~V{hNSz09%y
z_<BO6W1?DX?2e$mZ$V&+NJ3L_@OaE}+t*)mc_u+i{7r%!@7DBMBpKCWEj}EI-oK&o
z<DGPGc34<gftT8q14kzUWa3(*e?s;O4z;RHQ<j@JyUg;YO@WLM*Sa@f+5}NkdH72$
zmCv{E$h24rE^>#ReU~fVTp)XH%SgGRz_23ku0vN;T)tFFNlNGI9ctl~0<r^w{n4ZC
zCZ4Kc`*l8~i6)Mzl{nX5)>>3C`0>ta3A0jXF3)vf_@~nnT@SJZxV#y279AZM`ZO<E
zUt==;&#-y@W0uM3c}_yy=(Lf=2VxD!)jfR`+z%df=ht$J49Aptq6y_I5s|pOCu2Ru
z{n3@j?r{1$bzS=><oFH+0fUPx2CHo9TN4H=Oi~dUozfF3jQx}2_l2rjoaof>o(x_a
zae;#KLgQPxn~ieJhAV5Mby_z`n56AXOl|V3_OTw9I&kE2{CL;nCH>K6wP`z2M|I*y
z)Na60`wp#<Fy3v}&2N)1DF|4*Ld!NvcoN{`){c(~dYMHJYv5jA=-K3p+jM6N-L<H+
zzq~CWt<v5<SMhY+JZU+<s6@-+`}IzJA0OP_sT213x%a~pyi`ZH1v1UKzET~R$NFP@
z8t>mxjd9?&M#LOQlt1#)e_l`u@@QA;;K0O+viQt+l?UCePuT}-^5d}yPiutUFEWHH
zd;Ip!DqY;D{&J!cPtUo-ak%buQh&5XWrDs_|2q+GPhar@=~Fd}51tZv`*seG@rl!B
z{)aD$+TX8q8~gMomp>M<lt~V^Zt27y_l|Mv59RU_YlHm!t<oN4_RDrXQR6juYXxOX
z6kdvQsIDEiH>$QzcN-Ns$6fq3rj}zDEI8zoKE`RZc1%jo3jdkOf$L&Z2e!%iTO{c7
z8j{<_Q!?WXhMtzS2^4(FH3$kg5N9lw(DcW-@t{hpiS9pE=~`8b>sqDuS_f@ysY+75
zBG>bXjT|C(Q=(8#B0fI8KiVC3YSZYgRhr_iA;cia@3h1Aho{W$u678Oer#W?l9-R1
z=wN53Pw;=fB5$8n<<z#&aiHSl5(T%T<IV1AUJ`|4dcYZo_>~B6?%IcJ-1{RGa-}NU
zdF-T*w=X_~M>Z8Hi|2oQbEkKx-qU2L`+ZUaPucp_%5!(MVh$n}=4zIU2+J;*LfL)Y
z<0;cP!N`T{3+1IP!_3rVJD%hP%F6CIH=e%Rug}`8Kf-IVZgE)g(&7FXtDHr;=IK-K
z@%L0FbXaGv8EkA;P!O9KYZi6<a9+szooVRX6t{jLltXcm?F?%0(8$nAABhV%`ErV~
zei<-}OP8~caXLTkx~}E$4gq(U{l<BxBrM)N%AL8aPjzB^R>S=}1+V<fqEnxmbe2D`
zDNvY*ah%}KvhIj4GcLKm*H_Nbx~U+LP>?+0B6p;}&1c#Ixs9V8iM6wXO^h@)jDGiG
zkwwv6Zc9a+3Ge8K=jU7A9BFiKxAPRpUS_r5iAtHJ^|vpM2j)x1s3uxQd6}2iy;I{K
z$$i8(wC<g&xw5x1CRk|DF}mnTr24x@+=R;LqJ3jo*pDt?<WRe|(hBpqvlGGE_lsP!
z7JA@v8P*SO=?^M-#y*Xjt+4vVYGz+^U)ZF0M)rM?@y)5(8}X+9oXTO#eZA<u=@~*R
zneXWLlL*})Dalp$x|{H{c)QWt($afP&n8x?YiMY^H(jd6m~d-<Pi}{Vvpw&+S6+Dc
zmOU`qe5K(DvGe*C@ozWCsnj#Bygl{h6@B^MW+9s<c6JF{qF!mcrX)<(7r67DY9KOJ
zb3q^>OjG?9G8>N@ZN4VknqDl{QjXBHDULHy*=BocHFte>j?L(5;Y2^bhT4hfzPXZi
zTH|X35Aw?%9Lbuk`pBHIiCYIHB}2vr5>tDsyV8Q*y-PB!lxit|5D*^TdR@so=!(XV
z8X85s&IG!_q6n>+>zcPGrc8eF$KIy+oEZ1iLkaJW+mG}+EBIS(lU}i{WWSS$=GPtX
z)-1EwU$F#W{NcOf5g|a~xNN=B!ijH~z;NtuetzmfPT~9LzYxVk3*$0pW^1ME07Y5~
zOeL88A1~|b)Df+By3PZVExJRO$T<8NEytF63m6)G>W^`k4-K$ZN*$H8Z!f>ZR7TtD
zzwo$RlIlEYjtJ;2KxGu`#(7<j{{`AMzl#tiqiYebvCa15)q+4-6MQVUF7vd6%TTwH
z=S=!|f6rG}cRCGJm@FP15Aiveqb#0!9au^1+;Zz(XXh^ANtS9K@hy}!ExJ2%P|bI<
zk#FIb^szZ#dMLm7W5+oH&lM<hibK_cZCgv$Tc!4E?!2<xH&-l0#44R{Z;7JNWxO}I
z&~>odN6O-zNbxX=nWW#=GN^sZiLjbe^_Oj1ii{qV4OTnUy3{YLeKii)ktN_PvRd&<
z-o$v<M3aB*m~rm{=6n0UV)-2AezN+*uJnM=j&t)>f;p}a4Ksh!bNTclcR5Q)HK4q1
zeEq(AcMa0ra&1-VR<(Dr#{T9s*cpghkannbbvWqM60$o;P6maR+a1rYH+QmT2T=9y
zp%EC$5}!ruRXwoG>dD?rE`8o`@6<Z$JsZ3?$TK@Fa*g$Px!h=boLyzE^{6<#Bl6hP
zI-xCxp8l;0m*?_Sq$=3U%wvB%BSatYnD~md>_pZIhr7wi$u)edv|;1<3S-@Q!3qjo
z>zwtWTgr~nHD0d^np)*yg#`cz_>tbxo=|C7aqP}zGD)M6zLq7M4*xvfeNN#h{?6qU
zx-?11pvD%K+e9B1QDW&`$o3Ly{%}#e;KgDCy)M6J3l!wE4mujWi#IE~<V7ZuQS_z9
zyvGCY%p|NEUR_!uu@*p1>7H6}kgtTvJs<{(d>np@nn`zEW`#v!^#=J3%(btv$~~q`
zn|U<DW6Ecv^UK?@onHDkO1yu){126{8G@j8e^vkRlmijfkCZ%VS0bm^1eM8Wzf$si
zp#Ck()V^AFcdpY4Ar!56(QwTk$&{jRBgZD|mj8I1`2iRC&q*QwZ+v%f#$ehYA?4(l
zuUGHf@5H9{(f%8&{AW*v@l#@t>wcTu71q3OSpK)bum}aaScgYM6eH>?c`^~VAFtF6
zrcbyEI5u4CYbh2o7|zk!AkPqhCCV(loiXX-P5`z6>}(?+{Tm4um71qk(bwD$W<9>7
z3T7<NPg3~wtOW(|s?VR>vWulRQ@YxAU+0tF0^5#vlIf$>U7ueQ@n)6p0!d)0s=)7K
zXS+`fx`*l}S}qJ?2*n#jfoLBHKtS}}W_NsKuq$0paBS0G0Xr#`;btNPro?`|^YT(}
z;g~0zsT`nNQxAJoRZtDGtI=MJZg6O8B1`-Q3Rat*Y@tv+vF1F9!aS);^L;JX=;d2)
z^rk%iE`8)}OwU+vVJI*m2o|@8RfP&CKRjpB!y5ibziwyO9K1Or{705~MsJ})u))Mg
z8JBlaJZ<X=S$n-s1YAYWMz=p>vw6mu#RqQ=_cn(*bk!gbsaigMfA&SG9KWyFu5z%}
z-5n^xk1g}@)@jXM8;K6{Fj~oyGOT&x$mJottx;TISE619D5(%r8MN`xZ%oCr{e|Nf
z%<6!4E%zXvNl#3AsQ=BZ({lwmPdfWAOTD{qeVTSNW8&+7i>y-k!=_L^u`^R}+N}AJ
zeOvJ%R_qu5;Mo5z#_M0<@L#J&2K?{iNB^>x*r(Go0BQC+k@d5Voz&US0=1Va;n>q)
z#IgMN`i~0xN(-%wpXt?DYqPymPM~rdE(zs$1O6rLZ8ORD^Cq^%VC=)<-U8XK$hsDK
zt6^jD?Wu-srBM<`US4u(Q8vf{GVBHTDoe5N`}l^rfWr7E&-FgJC|vUWPNIo}P$~21
zK5MIS-c9qg;U>H^3@+w6YA6nv<GNL5C@`%7CQa%xesx4Ww@=K+1_fTz8%06=&fdHL
z83_>EJJR?aRwe)w6}H7HaW9vefiy^HsY!L7Ie+<0A{;?-Ci;vzGw#{*8aIiqLT~vI
z&&CEXHPs}&g1>$F?PkLaj{q<@;CQm<h(Easu5ir+zjh+f&(F`ctyDCz+Fn;IeXPg!
z<Lg67g%Uu}%k4_`Ce{5mrzggpFD#xuW^G&$;0r>g0nLk?SJzhergpiCyN>i_rw-Pn
zRMiU7!*ara#p~)d0SWc&D~x2iGo~?*LmvT85K)DN_uY8tr=~n#FLs6d1m6bF45GO7
zz#qMR?G+Nvok=Dm10DWB^3KMo{iVtl78Yw&{H_BxH{H;+%tr12XEMvAz5GE1fU@RC
zIr`FA5gk329^&2noPBEY-gi7X+b9eMxeioZ&uzp5txN~uNYF8|d&xkRP2rRAk+%L$
zg`QWdZ7MAi8(;5OkdF}Fi;dZmSY@3%JD9>TYiYzU)l<h#ddd%I2RSzRA_L-T_<z)<
zCb)lWrSKR(B0T&?a?{lv^RrQ}Ut=$kJYI4^fC1h&xEJSoP)|b|-@g1r#uQ&E3mv5p
z^_dF<0#GBY?rknCT;M+RtUakY$am|>!y$?)JloDH8Ey}HDEm)+L${#4|Kc1EFpWoP
zO;BiT0sklOJdnp9tPM7cPFkxb_vz=EbHBf8ofNS5&d$bt!6QUuDrngfeY2ACGw-fi
zFlS*P^%7Z}=wD`JfI@btKq~9OI)or$-M@1s2gJ!W`GNA)+}6W&j?IBob~Ip9b8r24
z+PY+~Vk7=;mLSuNJp(abOEy8)gmn<&7HqA*Wb99<jJ5R6FY?nHBI62_c##iYE=}qy
zQnu-PqbQzm5Bws2o#Qsz;Un%ooa+eQ)w)<kx)BeWXBLy1@YHzO=A*l=D2xv|4bnFl
ze0ZWP@mD_nvw(`f&$`KWZhxQ{4SKb&^=(9^U8PmJtAK0Y8<)Y9+I$pa$t714ZkwY;
zku=tm8wb~wZW)3pi8Y_68>~~%DG|*e`k2bOkeBIafb@N8C&mYtNSSMw>N`{~+*Y~r
z+;U!MkkbY=`TqSc(Pcx;!#OA5bWFf~>=WY=xT@C2QF68I`>y9SS|=6l5LqB$oVTki
zTHl}VIx&=`V2pAAeVL@z@CfUwlUbt0pDriOc#Hyz%RB$A&^<*@0hJZ;FK+f!i^d(y
z%ATwcw7=Z#o9b3N+F|1@Q2(v(7E|?V{afB2Wkov|)!hsK8N4R(;GmODER$RA1=znc
zl|g^e$MnXk=?uN76TQf8PPZa|w044!loyO&sM0(RrPWcdC)kRMk&YuRp*E-)O&VTZ
zTj<xbBN!0Ci%pF?^oaJoIlwH@9i6I$9$+J6+9Knu-~6&T1b}W%*B&u%C6KJ+tIQ1C
z`TZ`PHo?ji22sG7$7as-{$2*VXkR^W!R4FD+A3m^!;CtxQE$=AI71N!t-fG!m-ln}
zqvgTaKm7D^S?IlcYf+9`yj;Jy|K&2P5(|gclCZ;QOaozLVXKGGV3E+$x6|M;+;~Jx
znxDUAa#-e(D_cMO4o9p)@W|iv;hSog-h8{tO3M_B7ftkG4^PDN?w(w6wVwChuIWQB
z#KF<TmmFEdSvlxy5_F)mckYtSY(baqA5WW!J?Va0g(8>ByDVL^H3f*#I+y{he&N5k
z&aAt+>4^FU?;h_MmykDEA}$v?(J1s8m1_=iwxodE-2H4pp$XV~^M~1Msfk#FTcU>V
zaBuKL05F>n_g#X8f3A4?lf7>kclJ}hINPK6o{BQh{L!18mpS)T{H3_O*4EaAo79mY
zt_ep!UZtgX@|RRIkiXaP$lFjg7tZ!&+za<KBjd^n*(Ox|`QSd^emp{<k=^nxzRfzg
zxyHFG9~SJ5?`<Yp0-4M=vDQsCA}T>A*`X_lGEVSlRkL-&HN|^a_*_1pE?ehyeD9Q4
z07>-96npV)#<i}47A2dWot=lfL<r7x4FaLQO4t0sFKPWzR-%J8jOp7P+q+;&1qcgt
zVQpGMeC{PA*oU<R!|G^xL)6#LT7F`?#BK&s3i~Wt$f6K@4{czywtRZyV_c&$3;Sus
zAJ)2!HlAL<A@{K<;tEOD-=%GgwLZ2tkrfkHu#H&M&BtEf(zAQ3ku+H2Y*Y8^tkRBj
z@UQr42`rS{#8@wavFY1z4dP!^1Gj0Mu%>Gq^F`v{&7+WGid9bo3^xW#Is8m;{Hl7`
zb#_uuj<6RSA(cyQTTtQg7k~bVJ~$aD=Bz-q;)rMKp~T=iI-mlw4-Q{lR;p_iC<scJ
zUbO!B$2m<WJ?8r!kn_xmiZ9iH2ijP}5AVW#C^o35s3hBW_#v?FcVcpu_WDQVtf9S8
zI`K-0mf#H-YAMoIr(v?En$a`KJ8u6~qhV1UGQIeq%?+gxbTo2v`A_J}VmC+ZV!0rD
zE{jM1W(_x|u}9s&V2Ek<cMC53(gWp^<%x-UPlX_%pi`^xl={iG+4E)FuM!c&?P>D2
zYNFmO*m^H4Mn^)W7;>S$&82yCb>YAZ(=(7^?$x+z8MxYw_xPmWMc9(TQrqBx@7cBe
zk`)QR2Aj?6avMwmZ*F4K8W!3ljMDCcz%sgq<~GsRl|R(KyqsH>HV{u3V}X3%9&+Co
z9}IZtXEgr4`pPRfSrPb_0Ho(7(w2HN*3wFN+=zm)1Ey@0l$4Z#6T~57i`(%@(-2q4
zk)5+h<kgJDdavhxON3EIP6*zO1h|F^%;B?BFb;g&TCTvUx?dM={+4bfG7pyE(iWA-
zV<RJ*^=+C{CMLItUK#R)ZI&H$Mjs&d(6gnkdGM}4c1vkg<!oOjjcXc<ZeVpn!2uIv
zG9N51B-$M)#OD2(#Yk;N=(kv&{gRx?u(9a&R4R1&kIc%%DEGrF10@Q!uBKE>rsIc9
zoh9flhYp-EXr&mCfwRz^wnzi#t@W4HYB_m$wt^sxP91o++$L`mLa&=x+Rz8$?C9NO
zO4u`UZ=eXZo<noZtCQ`blbZYhkV2mpGai~-d^;M}zuHr7Gs;I*AVOeE{E<Mncen56
zHC{q$1y3A%TMyPkE6|%UZ9#*w!H9ZD7PJ0~!hX@8^7u8dZ-AnJBbzpnkS#?w-%Uq$
z@{Z<9mgRwN^QSZe6S6rYL=c1aZDz(9B&X2!N5!h2xi3u}Br!w0%rYGQvv$;J7tKJL
zA-n0#5sqm9qES;($yfJWvgOzwiQSAl2zxGC%mNwiPdGg3!v*0U^!uep9;=738B#tY
zi;%TLXH`44X9?soSmBT?+6WKtgNU@iK!>PB&(20g?p3TRD@sm`I8z+%?I}#Pfrrss
zY#4(7P4;kKs6rsR<O+b+QQd!)20m|7;d4mlln|dQ&_ig?hcW4W&v)u?)p*aP-`x5h
zziG#Y@gQvoTNp%_W?lFLM)|pCD_!ei6Qao6*-yuip6+_7=D_B>i8rR!_J6-?r`g@l
z&wp$4>BZt^def$?<z9&Ol8S<^wqP;6=C9Z$(tj#=1rt{<B6OdC7DOp*zY-5A5iLRY
zeBusvuF&1!t*)=1x+;rI!NXe>tC4-~y%o2T?kwXWrATys!upu&>{$mBpD!TyxM(%K
zy!{U>>#OiX?*clJy8FJPPvq2fI9A6U3^}Kr{iVm2lxY)En?d)stjB8}-kCF(vAx8i
z`o0rR)btjhOR%(0Zm^zFSLiknm)s!;NTlqNx}M|2P$oaD_s(s!wn;aQ(2PQQ<*_9N
zhc`a<Osn}$a>kfp64z^Oh)H44Ur1?T&_}PfH>)kDkVz~xIz5la^@3<cXkSa(z6XV@
z$QW78TZ$9~wja`9vr0=##fsbL4z?Gc`iszDp7K9QM@G;Dl(FVyZMp6`)jM|*P&EMI
zZd<a^a68px;C=~rdkZjy1nhqU>qc(l?!ax5#8?r4V{->PtK&f0m(0kFN_ZFkbl+qo
zy91*k$VpWG?_aMb+DM371B^3w#kMU(-}4YiEw26WIA5xAzx7di(qnIwfI{_JR^B)Y
zMZ^*r>!bQ#xxla5ND!3Vfovp<MC(k255Y$7@9oa`0bV){wEMED@IXM@`~Ey9NkE<_
zU335QejEP%LKh#NR+ojwfjn$0ee>bxzh7D|vsq1nZ_C-{1lvP$n<1pPX#-#I)rB7z
z&%C^b<z_9~x~T3fh5d6Y?6r}2V&y(P|CZ!6e#C5{JD#Uhw2^$`Rz=izQ@XQ-g6WCr
z@?&^Y4kaeG-TN5*6nlnRmsv#*`)HTwW|o-fP`p(w2W5a6RX@K@n`K<4@1T-m-?2ev
z^XGSMU<uflA5xy{1_1Q#aApkL+I#szdQo#Wwxb4xD5<A>a%s;f6hk7l5ps-+bxfm0
z1yyw2Prxx$Vr_Hi3;^;X#=inZ%sy&uFo`yDKOBGTlc#%tJHO4q5t*^4Go`BuVKa}g
z7#ku1$sXTAm$e|m@-lv%7WZtv>=(b$O~ihOn+QU=%jJQ|Ykq%Duz((ZvdysbD<(Lt
zUFW@+V|r(XF8Ui(id<W*Xbhra3G@Z1KjU_Fw-tpb*WiX`t0o=Z?YCt;O2gf}-2q!S
z$vgGk@BTSh@9#RXhDJc@&}VoDeeepitu=ic*;V>8y20FualQ?#r8#Z1Gxsjni%`o^
zzzV?U;@^M;t8?Zvc~ErE#pD@}IW|ps+2{ga1r>Z00yOl>UBLBvxqLrCPvx=3?Anyr
z2bnRjR3@O()=(2<DMP91L?YQ1az@){o;C<o4P5l48>J4NM9aMjWc{p1>qNtYpnh@0
z&e*+)p{`<Wy1RZiG-H8Gr*-{gmVE<;19>5Cv@@k_MtYj-=sk@H?+-F-=o+tAk%wXj
zzHp;|#x9S)|8DI#eJ-QtEi$4W4=I>vP=aMVB96gRLyZ#N%{bHRp7?U*&Q4Ukkjwmd
zz_tHv+;Ee>3Ct@WWv5@hbgdk4xzl`bH)H%RcZ2sfmzGJ3DU4PW5|9l6MlwZ$*=E;z
zo!*L6@4~<k4#i>C7LBkc-Pck?pA%t>!mtsA&u(6cbj?#?7F8<7udc2{e($gjHUjJL
z>i*t4H<B%1-};eqpXRH%UTam93WMam*xw4N?)DUrzcK2(CGmgbwI3{}a7I4fu>tP6
zrzghr)6s5=L#Od*wOyGCkKz#!c|LU-iPxdKv9q(I@YKl3ZOHcWVpGSD5F3<poh@%8
zw7^zvMx_$qK0XXpo3u5q15MP7;ar39hgBx@j2>#Y0Ub_Z!5TrxAT{N{?irTn**s~z
z5ATrf<b?uG{M4B~F%B{XtFVGZTsPX}s5&8_zZ@wWGEW`z380zcboYrT2)JAxSwC?x
z(GvTUzl!-HnngacG<Ts#u-?Uyxf!6W*-#KzrXbA8_rFYM)9s#}x9kQLK3r?y6_G(l
z>J=;ps#m_`&Mg9`PtRdjyI{pO+a!`kvsl4DBU2Jg1yMsaUMMOwW&K(dYA(&PwOmkX
zI~K^7%>7o(vQU07veFI3jPPb=Z%aZExf5%ggt-qPV3i!X$#ETF4|m&FDczK|I#_M*
zsx_Nze0vCzYdL!K>}-%1)gO;Q;Ty>2o}0fy^VM!;YBMHx08~F*B|*2d-BqV#pGRW(
z;fsuF3}rLW@937+n`pK^=qzv2geDMtL`>%>V4k&a;U?4d!G~pxa;_V3gy{1kC5U2R
zSpvXdtSi&AQ9-jK7?>nFv)_HJUXZpW6yyx(E7KcG6k4Co5zoWDd9f*CgK|pAYt|l`
z{ykku`|Hn1W|5z~v%OTUOD|aum&BsYfBRPTl~_tUud_OZt_H);Ln}3a>Q^cwv1l`w
znO_AO`{RJsGy&u%gqvVecsLJsI-+POf(IIL)WY^3?|Y{tx7O*Gk8f80shMO&&Xp?v
z;Xuy3>!LM?POV~7BYv(m-K)g{LAi<85V{t2RhB3mY`13D2>e^JOizMdjC+|5q`j8-
z8|p|QQdA+8s$6i-KIi^%9-8w?P_>lZoh)gw^W29B&<$asK{+j<!9g%4QPdyGdL$&q
zzHcEw2_5NaV}GlsfBTZE-yQ^-yW!y*h@>3=;kq_B<_oPpiZ-vU;~#^sA_uYr@k@w%
z_0CJLiq#YX5y078!tfRe6-;J8SyL8iqk;}QN*%SeYC!=&_q2RO(fHdjU|4$*62?JD
zkhvU}+g-HW(0_}gm$Uy&=*Vk$N*s#mCU32STppDP1f$P{lErzPjSuf*3EEM-fk>$k
zRE=iK-bJ5Knl#1*^UaASWkWt1=mYXJ{^>p@R2CtKJ_gau<^np$%~tCXq`?2{EP<Oq
zqFcB<D4{pjj@ArrkYiHn76O>C$&<VWgzvC!wxAzMmih91uP+J6Z{u2nd1_vqKJ?4y
zJ9=rhH+ae^WJ{(3UExr54TVlbQ9Tq%S8|AtV`mdOj&W%eCeo@+zZNY)qR;as8F(q8
z5vB*NvHbI&2t^>1`+)6lKzz=@L+QV9R0=8D994Vb*}Psz<HX9A5KjUca4mPOYQRls
z;zi1OwSM~F<VIp1pt4NDiWWhpF;?cz*HYySH$aEEiqgiM*6ZXGu|>pDz&PGo_~bS+
z`~(=krFQ1PM0R%l)`5z)6r&7{%HV}rr~O$BvIyRdwIZSQXL-bT7e3E9l-~X<jS(@J
z`U746zwiXaf8E)Q|Nrj1PMtLD6fWJ66HGAQpax0`r5XMZeXTLcSRLDgd5_mcQ7Ch~
z1t>_c{PGrh<laJ4n<C+73Tum>Fw5sdmcsZ+nq7gYzTg1bJ3a72W8j78K5hEo>vdD>
z)W=Y8M@<%>ua8cacmLey3!b8V2(ah)iHYm$_xYJJEb4__tjJin^XC$5cAjVkU38CO
zG=2|$UFxxW&h_;)N+Y2{sd@XGFFY2Of&)?Vr1xQrW(Jee{$aY}ukPWW!xwq`JbXSN
z<h?@UW&a=_A+{~S07@tjoJX(qL!YE4p~8e_Wg(W>3q)RDV!_Xk?(`H01Pd$P<2Tt^
zSN<?beqgHO#Cl>Vt&^%gGBT)R-09otmi`y>9{+Sl|DkD-e|`F2y>r;sKl{`_EsIYk
z4EKf=rar(Ps%^7xzZtEcV%!|)P(Z)K9873YJ%b7k>wuZ`enAQQ$Q7BjNWPKI76kz^
zMBKi-yv&D`GC(L=Qq{J_vsIb0@uKw%!_{(tM#CQ#r{DZ6n;UKvclVto=(3SSC`9_N
z;T{BLSq{P$3gkgyIZ^V8v2((#W$*in)e5VUY%ovKMg><PwS5z<Fujpu>~C=c!AMv<
zZRjw>%VPnkroERjtS;y2LJ#Flqyojf2$woIM%RWCUni#XJIs?BZ$Mikmb?xm^0Cq-
z^kBC*h)2|#wyQ+NHug=~qvLNkoSr#PiT4C0<`Ry}DVs}^p1ua2PUSBfa@Qk3$huw0
z;Cf0dP>ngADP+2=msjFFs6l+#)UC&T^96m&fg)a9p|A2#>iz2KOrm{#Ij&ATBGob6
zV3RLdjG7=XNM07Toq3-#s`;=?{=R#=P5Y8)E$Zs0XUu#8ux(dK(`>CHXQrGejXZGK
z%@cu8%2bNpb8K!ROS%rNl>3#IC?eI%5<x<9H-jHtD8;bgB6GA@Qn$c?+Es!!HfSAj
z>}^`ZrC$Bc^sFMw#X+C(@W)<ew-up%{D`Hmwm)Lo76{bOds!{^<aH58ml;mue2K54
zt6>r=o+rXTw4&=tuc|()FNrC<AAN^4HIIL*$>sSRbXt$el>TVv@!{sS1ZuG_<S>N5
zmb0wK-vtlnnebdrId@_HrA=R&DS^iMqcPpgli%7jJtJgm!_^(F2{9nJ*F=X!Mdf3v
z&xhRt_Jc^Rrtg`S#SId4y75Ph(Bf3%5gG%|&O2;IrXh!s4=xYbTON#u>7Sbp{pc5q
z^=<c3QAD$V=o{yvng~QYRD$LTF;jRI-8(t%Lr?(Cm6&5V6UwmMBv3ts8tD}=$DchR
z51&jeX9xmv0Z>MIzfLv<va6<6?V7d1c2AH?Pj&#51Qn=3iXmx$ig%4{$D@7Yqv;c}
zRN9i?D0xo$&50Rxo67-VZ8B#pZuo7E*!{kBw8^j6O%}fY4!343JL6v&hL-K0ay=p$
zOH;lrTDOIk+r#_Jm2QUFK3Ts(p0WP$XMe(q|7XB>X>!rD*Rg0fCwGuK>cnJE`okTS
z<~vcLNndz~R-x6PkyssLkUm?LO2-T#)R<N@ZhE|Q(00z`aE10{?KQoB6tSkKWS`m^
zZYip@N0uG8Ram#QnMvf(X9$lp%ccPxr$=K1gxsBCg%C(fVN}wpbZ{{gg!k|NGu8hE
zF7SV-+og%}=sqSgWn6eadpmCb|1z#3sWPJQFoq&ptF@R0Of^j*#EOs)-U!zd)1sz<
z-!9g4mSNc01%d}#zQ+4+t5+yAGt|(bza*G6pr9R&wr^QV3>cM09|OymrXXP!5l%J?
z(}@qCczF#R0km7j0W;CYVjlQL>z_THE!TuUYc%DiQwjRt?Z0=42WX+iB<Fg0X^9v5
z-cWVP$TVKxM|_x)=L}YC4)Y$DRi2!YV<hiE3GZ~REZC_vjKaBHEn(o{7BzQ2QZa#!
zGDk=)uEI!0B#-uPyH_>H1R`z;2xC_U<JriiImjeTrw@#Yc@uXEOH-d5O9k_F*GX67
z3ziI{CJ~rm7U@c#a7%5I1?!G%h7mmT^4O-O-?9w7X^`tRn`jv0!k|FJ=Z$xEUd}NA
z{b~zISmqJxy@3AtRG%eXj1rw@&9`JDoKuIJ!8b@5cdii1;T;8oBYXng0*(^);}#bt
z9M9&ayYbNjMzs>e_LVd%r5>=y3mV(m!UZ$RLpwj=P1X~r5V)i>h`Q>FO$h+Z-|iKO
zZUm#Rg;wO!3Rx*G&C@XL=ZhqDJ;p<0Ssq<@Y6adYEyOSbv|oZKu`mytu~2q7i)BY<
z;@9xF{)#fM3amcS4@>oA-N(n~F5R+@b_}GX>b91<#y7uWdC=6{t@HH2;%=WVqK`p>
z-yTTvVmcSqvPnwV3;%2a<grMABNFcgR(<$gS=tSV@sfY@n#PLM`ON9zA!PFXrNz$)
zx}E9-(+ghKsZ4ZCxEV?A256m45I*Efu3}|uC|pQuaR8kbYv98s=+}18pa`b(pU1#V
z8YcMZ6Fx|77u;E_e3XZ<HEA*tLWj^`gh2EIw4jO3%(-?v=)8j~zhGrtn4IJK=fdo>
zM^%vEYoT?`kEdrwUG1I9id`2x1xtP!!-w%zf^~Z*d!2fiv&rBkO~u-T^jN)whCv)i
z*JGy2&5eIhW3&6q$Divy6n6h(Zlud)SbzF>$Fm8|O2r_Udfv@VtGOghpur)ecGsdr
ztJ>LWU$A12_mB%sx`!$p2ZP0{=S5SC!WwcA<Iq6+<M*;ztX;I5oL@<~2#ApV+l)C6
zyJNi3g`x(u7aP#z6}kXzrHQ7+Yu!hRgRP%`t+@Z_LCn-#E1Wb)NT-%V?ncdjgp?i{
zZ=wl&vV6>~nDjJc`vR2F%0i&oW(ozsA`$JYSfs|`=HQsVAr>oQt`_4k#J5x7InYtr
zjQ&&s82M#-3IJN|AmPdJNRtS@G1+nE43_o_W)0U4qll*%1Np*{uutM#>a>xR0X9q;
zH_b7u0-M_T$8IyUw{^ypSzAVK0v(^Yb_C(;6JyRtF-@q-dxRn4H(4Z#U}*QhcMBjr
zAui1Y>=Y!?DLb1KRg-V%{R-jS4|*j5YEl8}w>3Z(8<nyumO~;cC>m&-ksv-q^k(-c
zrdSX<y2T~#VeI_^_g9Ea57F;vKw|(}(vHJzbnXOvLKIV0x^RoAv95{nn4wv$*O&Cj
zrn~}9JjIYS4O3C$4-Qv~LEZM)XY)yJi+@rpR&IQ#eo_U2tK>qHV9+I_9HJhb+#25W
zy&%FAX?I?;N!x?I(x}^e17U>`ogFdmdP#cdG@)ObZyod<%kV8FWaI~HXc^1Y?||C$
zZvHcIO^%HIGs>gi8z!AXl|<@0st7JS@wx<@+uzIub4%UV*GI8Kq#_%KmQtF;qjx;%
z;Ed?#gTH!BVZ~l$!WE7m_<<(YAjJ$~3%-P{>Ijg#tR;yL&JKuWXVb`c=IL1`ct~X*
zG5sQlCj4fyj;&WRn%F;wwf$RChmn-?A$ame@*Aoolsu=iGQJrKg__WhLM+9c%mr>g
zpab{FkO}w?aX7+SF4J`8BK`f&+>SZq$B3Q=uJI2~1LXcNc`F@{ib-DfRzpj}2{MGG
z%;T|1S(f(cvK2%4I;8ammXu&Bk&P6aL5@B2GtH!oeN<FXLW>=f{O61?3ao|>%MGV0
zC|dmvZDX+*+cd}FBberQ^Crp};a>B9TqxqZfPr#MksyiTqQ)2dyt@|Gz?b<v!SYwg
zP&e5XC`f1m<e%1RG9gml#9<AKnQjT}WicPiz0O^E8s#0d7}?oqH;6GyG=6U;B@<LS
zT%KihvIgmZm#$*$iF&2H28^mjcH?2UFbRM=IpMO#NAJUz87!74v6tJuNK(wy*dzud
zRZk6Ce3LuFjL53=fcO{T;)DqYl2TJGJAm{=413G#Kc1<3PN1dz<hJ5;)(^~<m0+3}
zIU%_#x3OnctvLGq`4_&Q1F7ZYh^n@u>sT$1U%8pJJ-7bfGGOd1{>R|)x^F4Ak!*<>
zc-*<n;yRLQ2!dT^Olg#^mXkT6;n{S@DX?iO^5@GmT!mtD4w9X>z$`SI>A;6$Jj~z`
zX;}!7dl8L2)9@tv`GKUSL<3)8<c;TM2==K@yFg*=1e_R^equW`5#9nT;H~N#MniRA
zu658_6gpsxh@@#Gr=%VPwU0<#icg{U*;<ODMUKeezh1n#*&SozG>T1nLl2FMlW`kI
zv0TAoQJb*>yvkC&6!esiqHj+Tgd~(kIM5(}3!2r;+V((mxt2?<k~N(%QBnF0qjXwO
z?MP`N1U!MtVo68O6wYF0oSU>b?2-!49P>VQG008PmKY7KxVVCvr0i@+^0nGeuvjHb
zQ074@#OC6*tIZ(%3#)YF_m{QF+e4ouYz`gHqBV?7F+H23NF{bL7`GOM)<T6xc<;fH
zMQ#HIkec})`iaG&p<a)*c+fx|Nx^g*`q3YkMVJAfVnxFc$z=wPjoty1oqLi<_}lEq
ziVy(`Ys5-p%aZs5m5UwuG@8m=aJm-y!=Tkywyq*?PC)BCIbsH4RfBQxVwRzX#s)N0
zlom{Z_u&u)8EO!#<G>#Dc#nFiNQG58AnY^&_8s6&xa_QZnr<J2uuXDKe|JNC?{$1{
z#_Ugwf*A9hq~0gdKF#uyq<!f9IW4Cxc;BC$mnI1q5@;Z%SoWj&hT}aCKp7NT2TVu*
zY!XJ2+KqHHzE>z?(oh=lRl>(G@yRJL`MZdpLvlyzEYsOer`rUP!(GrIFQBOlI%320
z$|htg$H`13RdwPSq+2vBQ9(L9^bkc)>Z4^!Ih_VtDQ-{@gbrV__Yrcs7_%9Uh&H{T
z(PXd-;!nDNB9o@|AO1LREyyt)%GQGXkBa1Bng*`@V*u<q!8qGww(5Lfn3Gh@1-~MO
zW1p(b8X!$e@(bua^uS)w;A|T7x=p0Y!@XeYjynCM%kmaj0+*qH)O}tBN)u#C^Kn3v
zko_A%&?~1=T&VC+5qMGWa=6nW-CsRyf6HDxu?*RJ?k~6=vUniDN_Z!3-wY?~kQ#up
zthc}dT)vU^W9T_rwxmok!N86k00@nr2x6Ys5#d}|ZYAdBl#%S~zQyq}i%Id>gh2}x
zIO#(I3aEs#QE3FA8o=a_G`aBjKw`Rv6WJw?u}e(A{I%vZ2?4l_(@!|Q$a&2)nc(Tx
zcZY~TR11X!guPU^tw$F$tgjrq@Erp|y+|aI1db58N@8?K?k>}E*K3ikG?E1)-Ndj9
zR+d!wv;|5iFg9$I#JwvrKn16UbQ|*m?cc3;N7#zPNhEJm?BUbHFQwD2F_H#aO7L`&
zSvT>ma&!_HgDi4rbVLpl0P{%dfB=ruP+Ca<Nbqu>zJB#?2+Hax82cT?Y!b?`iOqu2
zsI>^-pjTc#`{rx}@IR;UC{JZr?}MBG#ZhyAnE}L@Dx^we5<u`C{EOfXBLjK;$Bt4o
zb^1E1Wnp<wSGAF<f~F~lUx>Ty{exhb%H)|R!ZE=7q%O!NJwS--!#s-dRMTPSN$&9w
zF+sZUDxPfXBvK{0FV!&^$$>>RzFO^>huo&#HA1a&IxL6R07k+hn(-hee$sIjO#~7B
zr7WyTbpqJ(YJF%xQQamm%qL)sB)~EDLmp)uCkaYo2)KHX_a%e*?Iz3Y@<<fTzUaz<
zc?w@)OhazC!Hdgz5+3t_r1NYVuhM$88^w$&vul)2+1WZ~QPAMS;CO7*N5Y2*fox}9
zr`|pzt-Iqn3^i~d`v8i|zrO%gWbABcHi|wTv3&CBCGrKe%7l-LAeiiAu0hF;0t3$e
zKsoJjBiRjZkOb`pkBu^I=mH$YV}c5&*KDCcTXl$0y}_<C940g(DbMWyk#osNmSa8!
zC=8}$LE3*QCWu6<ClMX-1=Mh=%n%XkNL01r*cVdz2O)alo(Po@E;@+dj(fqMNT>-(
ze>TZfB9i1#4j%fMP6(JQAh#8{Aj~<6^yr)st$eVt2vNhzC=sjMB|s45P!_v!ahAZT
zA0S?K{-0EZ%<%|NDGAF{xyi*+u+YL_DuKV_b0V2T%x*Pe`YPPPfN8heNvKYPvXyQ}
zdxPMzd92u;Z|Lvg@1G&s<1&7){w(|c<V2Xpp@>FTO==tQH9Z&_k*?o@U7ka37Q3HL
z6szAgDR7*;`iU8^5oJ4wiI~|!zgJY@QtR>m^iT_2?jQR6kG4Z5LSG8y6cmBXM6>Xw
zze7#59)G$mE$81Y3-t%JFA(T^{;gUb4W!ZGEmU)&Khcv^=qd&(-juA@$ukwE)N@AM
zWhJzNyHL;L5H>R->~}6HL2z=3q~kq^_ekH4$;5flvPg$*L2I9|=L`liszoeoGkG>m
z_Rxuax|T^sZir!YHq^!C4uF=;9@FOE*G<HWjb-WMc1?xB23;b{EFSGeJiH>?`Iybj
zAyQPOU(zTRO(rn2RygTv=Y+tGqtL_IDU_iy^?Ud3ogUOyjHr;*Js6D63+42OjbSnY
zQ<65V@@kkBq%^_^wNNh>gU>?wx0c2pfVqRa@PZ>i(6WHWdUsWv`K69D9TS4lmjgKc
z<l&p0%NjAfphP^-FISvtR%+~17L8a_8Yi(VWn`M+yW=*Ch9yZBhbc5+Fq&#8j~+r_
z-WaODHzh&W&cJD`byq<yDQ^LO>DjBeLPNEvu1w9X$LqzFKv@UNVFWmf?#BqU>0^}g
zKc$`nADCzfn0T>65Q<b8t|N4l^Ty|rQlzyYjxESv;s%YWk8()SHzs`a&h>-fnMoj|
z#`3M);%b6h(#PA<bI@l|c8Nh=j}5phcdEOthtA&X1gQU}a4(`%+WWK1mX0MYB|Th8
zAP$xZT95ICn*M@HkiI>U2jXswq(pQ@K)%_C4GpO|z!_<_1uF0c8TaIQuPuCK47i9C
z+{5JANiZ&Dy+mB~MlH@IajLZftJp|to=o2qhpvMHh!tM$>A-Q!0Y1umkYNDJdMOIy
zxHXG}12lt0B|IHI2knqAjdx(stK}O{LAg^WEKy^!vq|AYQhB037-=SE@etDJgrWfe
zbp+65`2#j@P0C{rQL%Xy+FMBs{TOVvta?mxKpHglVq@Ocke0BSWNuxUGbHwd(IbN|
zYz953YY&jaX81zX4!1K0!2^X_V=jsYRI`zXcqF4kh|5NO<qtB2X4vSo10oXC#%uy@
zi@4M*BsK+%l`uULu%utLeWfTDN9~nkj3Hh7!vpNm0UY~61E~$3?qf%YC#72e+RH^^
z^+pk7M5q_q&0gHT<kl=`F>PpW3w3xB#E`w1JTt)&O)~YDB#1!-3lebZ!+BI3iX@<<
zc{BpU#HV0-Uyd*uuK{I6ZX)WBHECHG`*;Xet^uRVYA}i`nElklTp#I|Hy<y#&-fIw
zn>S@|II(tn_zr;M4f;P!Vd>mP>-2u-g)r#h9*qGeiJa62IB>)<P#2%rBT<#ENI@d;
zY0mdgEI;XE;O1EEN7}>({Cw9LhP)mKozu$SI%5eMu}kp*cR>p`TjQ9}ToasJb-0-*
zt?Gqt!6PN1H--+*85CMS2nQR(E{i5Kskx8rtM<bId$%%!qd0=8Q#W#lv4Hi5&FHMv
z9y)hHRsA3c#vJr^waxQU5$2%N88he#;g@y|H0?RuoGieyZ^}f*Y?Rb%K<?!rPwJZI
z6OWKANdgX<&$e}>C>ACA;rG?}1Omyy4~_-UEnD-f;p#b51AUN#MC`aD>{D21y&!UI
z|F}78`-8{eAM1_~%Y=R*NMOiL2vI{6T>VX10?;JRxyf7=qmO*a<<XoifGQVt)?(RC
zn)kqWc(Ku;)+JiJad@>z9Ll%`nr4K`Y*h@jX3R)8kBA=v6}?nWozGf;)XVL`uy+%U
z>UQ%94APOM7gOEHd=d53cyO|Cu0pQj3Xrcd;3OA0r=r}G0ms5)gWa$v9pH;n8cd{N
zxzy%P<dHO-sj-$zXMQ60&omiE13nmb<ouva4a{e92Z2RQ@9YM-vPgH37|QH(T5GQW
zAzX9C;aB0KU7gJe6OJS$eZGWB9hyMr@-Um|_@K~!I_m-@_@SFL5k=zWo<sNBFh_aE
zGb%c|0OhO~8^Fr|vG+jNJLHM5&YO^(Z*i?_G(<=upzHJ43hY!wB?q-b>*d3O`qCi9
zoNCQb4CPaHSknpSs{-Ji$HvJ$IqJ;^{b(AnzjO2$+bqvHALI4kuHF3#hsJq@2D@#e
zkp}(yx{qTxlr*TVu%@#TVGYMNHnX$of}|c$)*F0N+m+S4f+j6&`A-+8y{;?7X@$;g
zE)lTQe0aQwweBn?Lr_zOIJQ5?YE1y788q590F_Xf^TT$?H;d}td3L%Z&G@vq-bjRI
z_DPK^zV$$p-DLLz(>}#@B6D^e-O+q3@@!4poy@qjK_`ISo|Ia?m;-cK>IxE8cvnkx
z%HTJHz{ke@obxin-426rYw6)ZSp>i24m9v$GG!Ewqwc?aa1JZ-2_S=qCut9=2Od7Z
z&L$qS+8+39nI1w`o7ktvO4>!Dp>uFn?Q!3-w<RT8T2eVqL1zozXa^syIrQvo;~ayb
zpY&hr`(aI_Os{wr6qPtaC0%;+>&3<8!Sh(!Nz^V8-nB!^<;_Ey8KKc78uv$3Ym}`W
zR^>n|Z;UEFd#PFE-od0RG^$TgoPD6xgcZF@aNcj!csd=dKeQLnM0@Y*DJ)SU3A;Ce
z;f|<;NFhhv>Hz<~XN~3vNCc_J19uV)N(YCX`wyIw)CLGR-6q%Yhw0h*EBvtN(p+oE
z-%I6V8|yc?Ha7i4-G^!#_YiHL!n)WEhS|fD3h%ar37D^F@dId)qf;*TB2HPJ=s;Zs
zy#k=KkyG%Q1(#1DzAe=o#Q2X`vE%S-GMk2H8+8rFlo#>aQ<Zdv>aMew$UE825JI3_
z1<Y1=1Tj4&IdqT^^d!S*fv2G2oK5YWRzg&C<W%)0Oo-^+TOy6qz1V^?(?$dgH{oan
zIvy+6_8@0Js311ZX<X2nnq!UBFkCM<Q66yQtr-Sx!{!uX;IK>BNp>^qbq{eBf^=dr
zjl@IZkEsx9zM<9N^B7n`3R8av8{(n#mE>+lX9)^h1L{pIlI=v(tAL15b~gMaA#cI5
z1K%%cE({LFu+FIme44mCFBDW>cY6K(T2kILJbUGU8Gg}(bV`Cjr#>8ZAMi$d&4*@;
zxI9w#(2(Ql#B=FTPuNXa%38<4iWq)L%n4CKT+Z0s$J7!g2?nJ=BHf`E&n1)u;}=5m
z7+#e{)te0BFpo_q12A<y0EEp;Pr+c4u*+bkh)$STJKVjf7@5J)w^<g4PQ(F`tfjLu
z16<m4Yja4lbF%(rBlevc<AC&Dp3GfnSTgb<4v&1rv?i<p_?j_4?>0VM=w8ZqqjM4{
zFH$e_j1b?G%0)Ulfybs>wucMqA&k?83jmN%ruEUY=2GECxX?%6{=gZbnJmAH=ddRt
zKVsa?8ga=8X9FzRW_yeTPsn&nE_23l*0eIsT_BgpA?Gu}S(heWn@Q3P?R;!rFMq<m
z^TwJY`AhXfT^qM?GQOBSbJo1I5x<C}d945K*v5J5E^%XrRvj%We{Q+w`Ij><8lJfD
z!mv-Je0rsfiuS-1`vvV!<Ac>w1s`|Hx+M)s`{(QF>D?`EY2fqaPiOvcI<v0V>CT&1
zEiI-sH8nkbeSO7U6P2Q3VomMsBB=+(1qB6L21oJ7peimU#sBo_(}F=?56P<R-rX=h
z&T)2jUNZljqod<+)$FkwzP`S-TUW5Ug(@hvUukJ+(K9e;e*b=DwWV}!ZmzGNpHf^!
zUQv;{l(e*sn_EzQeSJ(&U_e0LiLH4Z9To|RiN%(Q#pY5Hva<gD{rv#}0S*2Ak`WOR
z>2kF%U+xSF4leGn$6F*goS-vj&a}6;H+=fENl{U8qQ0%7wzlxtmYmX3&8B7~9;?ve
z?6+?<#Kgsmk8K(6yJ>JNUMDFjDf`$KrI@nZoE#;cD9x8IUv8F`_Q5Rbash#+&d!42
ztE}$D!_5Xl)2E@f+I~O^RV3p0pQ_N$rPu#&|BRhrIY0k#<=+$r1hE<{?k}o8NB?B_
G+kXRhHtTNy

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_images/missing_value_matrix_example_0.png b/docs/0.10.5/html/_images/missing_value_matrix_example_0.png
new file mode 100644
index 0000000000000000000000000000000000000000..21799cddfe73821d7ed15fe29b805df8f2e1879a
GIT binary patch
literal 37730
zcmeFa2UwM7w=KFr(OA$VipGk@r9@Criip(2SQe<D^lk$b1e7WrHEI(3LO?)@QAE0c
zbSYM(E=7uTl_nsdAib<R=4bxB|8viN?mqkM^W3}7z4w32kHWXU@_z3-=NMy-`SOR>
zo*lw77tds|Si+p0zwTqPgz(oX`QJ>#7wh^8H+)fW+GgOSZExx1dceVgwflh6@niN*
z$BrIc;bP(7c+}obMp9N%X5ES-PEN-iw@69Z{>uT9_6}B3C1JnvaFQ9vcN#jfSj!*N
ze*$(domE&YE|2r;&pIb>er#}iSgD(%I$3SGx#XKafBL3uO7LAX!S&PgPkp~bwqVzZ
zo!!<)t3&)vMJ6nw6<SgY1y&cw-u<gp$4F58*6#{eH=mmF*NxLtUU=^3Pkt)q_$?}{
z8S^};B6_9&<T{n`0mH5w-L%nz@jP+=;#LRT3(NNx>wO)9%-=>=v8K{@1n05n8)~O!
zumtcmB7dqczOc0R3##D@>!%F@E9mR|8?0~X>&#uOZ|JMgn*UNCmy2~0h+EWF66ANH
z`T1&2m8olktWBG!GVXMLsg|*Eh-;IVJSVxqr7qH<I6!zy-u!dZHrmx^eCcV(F1Mfu
z(y6$y@lbiJe&V#y*9-R3cYfL+!8-bFS3<U(sYl6;jUDBY8bYx&Mn^Vl-`y2mw`ipB
z;+<RH;FxgFcJn|<)AD%Z^qG27aD>((|IG^@{o^zOEAXxV^avWHs4t}R=;S$M-VBnl
zvK;-=fiHU&tTWK+;6^->wXKz1Z=AMkY_R+F-Q6MA)g#pdAN(@a7az&rx85XUgWsCn
zMIUQYBur=O{Az1!+g27DGFNqcL%dOH(YYmdH`eT4%zJJmumZ>5|FzX&MCP4&w2nGX
zC1D^U8z(et!5tGxF^(lKER^H7#^Uy+P1dp!0z$qxJpcRBn+hqC<2JPqj#iobOgyly
zOWPaoeOfp5_`AoRUtaBS8|zL_+5hNtNtm*tj8)mLx-?q}(^`km*&_I~!CxJ(qpDM@
z>4Wx7X2S)Gqi}(vO}Solt}GiF%aVKhw@EzjHNe69|Dbo=(rlY|$s%=LMPQn3U6t*a
z?XKRZ^O<R^@!-RQCOo~-NWtPnoW{8~@7OM}17o4H@L`&?aaVD*_5fqM!XT@#AQi9C
z!~Lc5JR_TU|KQ+Yr=EHRud%_>)qy75qp$DAmn&^OKWBHej!{DRt*z%1!sbrLNz^Kj
z&pdwi;v$(fJC?h(9PG^*>&afE;Ba{R<)uO4lV74n8hX70rF=$;g-uq{MYpYB#YJG6
zMVaS$chsa<Wx4i-Nt$LIe)srnkdm8&UEajt>?NDlX-DlT6_~#C>c&IQ4`aB@BS$93
z+f}1%suMIGHeq7vE*8bfd^=a+5xgfxEz0k3G#>iAIdHx;A-kt2|I`#2`^JYieI`d1
zZ94Wwyfm{lz}T|+lDt{uM!Jb3CJ(3F|7Ahw4=J+KmpN&r)mq203s+rH+Sjz2X0(=?
zV7_>Df@wCp@TP*JxXBFqUekhQZ6k%tJXdYMcuz6Eze#wp><8`Xo{c{IiQ=1w_BQ=|
zW?KC7qS)7OADz(__b*SkZ_2W{FlJ-ol*ZCeT4?UMQB!roiF;?qmF52HDXIpvcB&Na
z=+(*kbF?ze(V_2!x_;8H?V+w_gEdy+>VZG|f5*}bGEA{-EtPL7X>e@{)sW0&r>3TI
zxH4s%5BV3U^kg*my}ux3*;x@y(_>SUXaC34YO|3x`Me<EO>g%57vTNu7an@0Sa>mA
z-1OPv?mxuBUWoFC3zi<w7x0%nEB+%ZP7trO^hCk3^rvG@{K+B5ioHAH`;_PzZ8SqR
zt;c*XZoZ-#RxFvlPIat?=g?OumiXn3pO~gu=fqm=yK!IM;8F6EojWVm(kpXo4-K3c
zYVt`kK4&O1gBAN`j^f9wHVK()a@+@uB2R2;aC*Je^V6e|_Y3oGU=oON%-mZ2>v8?e
ziNQLog_}1Wiq@|6S6Aq`<ELkRd0TVBjOXF6#Fm9D^yDbY`VO_bmTgjvZH%8++%?O5
zXQOv^xvtvAxIAxZmt&E!2F|$)_YZu|(OOofAXek_`f#W-*DB1=y(zw3Oiox^?^#Jm
zxKiH5yg9K4%kS{zc@KRi2EsPHGauql^gi<Forv}N^2(~!N>x#UUX^5?r@>%t*VV|f
zfkuzwNe`pl!Sb4EHFwK(W%pou9Dn)q^wwGC!@qD34}Po(+I-@mH-D_Dy-cyU<l2tq
zLE#f0t!nJ^CiJX7o|-bf?aiSp6T3Q_5KotS55LQ75A$&N^k}-(<oL))nQN}!lsTJM
zbS36Ziu>ICvFpuvsMFCy9L2cgAb-jI11HD2TT106Oog;|drGnR2}wRuC7~hf46d#-
z8U8%CaC~Gye(<zVc&OEh>IEY$O@3SFD9Fh-o-}Oq=nWrfmEslKWee}}Tce@EcYgOc
z(kCD)+*|g^Inz*lWxu|g6B-;G&{6B`_c5z0SK<BduU{uMXI=2>DHPk$a$S3LHOG6R
z>mAmq{c_JwLyI<j?A&$Z(=kil<WF7k=?6x?C~PQLJ~k1TT2-qd`JTUM<NJj15uSYO
zvxTBO#omX00qcz|DWFV_^@iK~jMa6#NotlZFz{0l%9!c&;pNIYyKLJuWT7vel@dFa
zp7`~g@REQf_768EKI~JUqx30%_OdNbk<ZO+;!^{%T3ittiZOH{EzLu7=PZ&w9NFfE
zB^@w|ka)v?F=Yb-6@>h<qyleMPG6A(ul3P%d(-F>3nWc$Xh<roZyJ7Xm&u=OvM9P<
zjqp&9SbW~CBQnZyVqjt0+cW7eFw-+k4uyL3R67pVoVWV;=6v6y>Dn@`JvVm+f7$0f
zRu|ru(d<%G5v^hNqoUX77?#>liEEzX286e6x)*8Jo_f#Wcjw)(Ok_@edi&+Wt5sK&
z2j8fBRmq)Y-T%{TqRX6j>-_TIv$GbqJ$SvR*dyGeI(u=bQ#r?Z<+~TxB+{298mHT7
zOdz`!cdlDRk8}|)bahukogBxZJGI^Fkyzkd$*6Gt_*iClnmL=3<<h`b9e$K3<MiRi
z_-OSLtl%b2ie+j4s~w_kicK|AQaKO4C_l}c98jQVkF;+(<50NzNnc%)3Qf{ndhZ;r
zeB+I)5(&d)2g5_<?d|p`J11UTHl`K4$u@XmaLnB<cce{e@XaB&mTNm4-kn`&8R}eB
zNbgr*%Cwe&YIE~<ysW$5vh*^i%vIXJk#=k=8Sl{ai3wELf}wM+G8E(VSspSAoP)=?
zR6jX3w`iW`_5K3YTs_x#D_*YK`#&7QPX6_<q}}+zk)Y<wV+Xi&(vt8=r`Iz}RS!JQ
zsCRm8!Qqx}s@s$|*3jhm>5*8wV|bT;nDQ8&FjFbebg)47XgRyTomYIt=i!%>sbOA&
z_INoy*O7tBzI4fNP<9{R;ZkD}ZsI-CP~+A<$>Cx^1|RY#v%}p6v$`Z-%#s>c?yhxy
zAuO*HCOYxq`O*_lzpFVK6`Bmd)AliiSLUaw5`;X}g6PIWfSw52IBo9on+}=d(P#Ef
z7hZfFD5ToV!}jcCt*j-&LwZjZzgE*coRj8v3XdJ}!<;Q2p2p=(p5v&@d1Y;56F62=
zXV2GNFqyY-)+CQ_66n&s#q%yNF!zi9$2|UL4!1pQi66qm!9SX9bDVigUF)sRWbTW;
ze*5xhBD?UkP^#Nt&8zS%Rhz0E&avNWDzx&8tBi+CJ`OLjeXzGoq5USi&^EmxAV_9b
zU-IY5T`YrEmCPR#fkXzR3$lB2L!z~#)?n^*8%Y6;1N7f^>knS)GtOso)@X*^@aS2T
zRnJrT{M4Mw4zU}}JeJ+PN8_XX@wf7wwTGUMTl_JRJKlObAmhUazgvwV_PKr09zOiB
z7qp-_T;;*x&V4qGUPBFj^h$Ubxy*`O8*zdC{@LAWb)B_!w&|uhB_~Sds_&Rgo?LVy
zT*a%?f+k1AJ3RY|n*C>X`?0Id`L|2LRqca#B_Z<iers}WvNeSH+{3Z)F1s+j{n+!w
zCJ+5Fv8gem;QQWGdw$|;AFI;f&(R({Rn@eF9G;3P(Cb>ok6P-{UuwcJ7HJ8+b@oyt
zYS-j~SoeQ9H)mO}f@9mdRGx^w$u(dWDNb_Xnvlck4K8C96W^`cUNP}R<;cqjo)W*-
zCb2a-D$J;J=}^6+rewz3(`-(xUc3X+R(yUGjb6-N+>yikKib!D?(T9^_8ES1)j~xE
z0m8Za@-juKL*s3RHu27rO^zBW4<1+)S7|(~zEhZYF#7B)RWE}=kKUY=ijly>RdI$A
z117HsyW7M(Iy1e!M21(g^88XR(7RlSZJJ?inr+A;8Oy`<87DG3?uJNPSKMQBcJJPu
zkl7Xtxa)Mb?PPaqb$OzBp6BNa<|Pz#yVILgLKS_+mkj&sn-$_;VRiO-Id%h0k%4Bx
z1QG_kwP@gf9IR>oP=EZ%6`7;u8kz6T&2r2aD2Tdy_nCvTaYu@v%A#*3dt7}qU*9c#
z{m?DBQcuGt0dZ=;#ITtSI5*VjAw`ovA!o35^<YO;ym3O_<S2m=31!}gSGQ%{zkFET
zXy1_KoRIPU&znx=<(fT&vld?gHf>wdv{|bCW`F9#{<4tF=F8^oFIH)qALI{qD^{g8
zA&F@$%T7z%B<j7no3ETcxNj`s;<ngXes{K>cTQ<^ZzzB0*7rw4ZXC<lSE7aIGwCRq
z{V|!r7{H6+169USrNMF<*)HA5HI^Z*SGUe76qc{QN_Y(8KBQjyD#eO7-s75Aj8_~S
z>QcLQiCxA4qjWpu#o)N~M)#USSClE{wN>hyi%jCK)dU85eSY0kb2x-uXz%T~7YID(
zX|9~y`s8=#jM<#Y&sPcpxAa_)Qt_{?9igaYJP}>5XWVU2?cEl%H`Z%h?vjYF2*%LZ
zA~rs)$Y-M3C;rP1z}fM2x!Ie$Yg3D>a|csByKT&kI}|WTzRzQU+!aPz`uit(MT3vN
zZY;A+pEwvj;W1DvLF+=_%uSM~EWajv%%u0(;Mfz<gjk!Qo}9ky1%Y>5dvnT@ExJmA
zWF*oXNAqetdY^E0T#OwKSqiPdxz$c}Cl#!$Ie4Mlj}6T5dEc1#Kx|W-;?3sAvowo#
zi0<a^3NKjhvBGD(x#0Yto;{8^{h7Q0qf!wuij@b>hX$|_hw@tciu3%C(j=4ks{9e2
ziED$i#>2e3U#awbgJ_+iLb330_Q=~a(Hh;^BW-o9Hs*>loW8zdUQ3rb|4O}Ed+H)p
z?_*(}4u`!5Q}}>HDdr$@SKCT$`p$@&nA$ssd-e&{xYUJm+3EET7MC}_SM9rCKK|qF
z?U#yPYpRC6dvd<LU6t>KC>wDs<K4NDfkYou`&3z%G!_xi`6l5i(=EH=^RBjsi)NSP
zMuocU1$7HT2)3Yj2T+{SKJ9^Rww`yNUy~JL%)Rs0s(RY5f5h{gQQ(jNyhz2<z|6fP
z=%!2UQH_s)+hgvrkx5^lFiv2P%E;-PC!YIS4BCK*<PPPS-|^wEl0NpP(rvV3M_;1{
ze^-Co`s7E`LM#JKr?tFT#oJkMxvR>f)VB6P@#?_(YXr)M8iqnHit=|hx_8ABHSDfS
z=UIl>1~le)ST%VK?dDHTbmfFSS7#K5mpg@*E6JXjKG!rM7ZYAH?Bv11^M6ccFLSM5
zuh^4OH?z7T#j2?_%nD@l{*#1`N}K9qc@r}Ow@&rNc;s74=WT0O57g?d`i-~q^Eae*
z_*T9jY1popHFf{Sn}V}((0>(C!$yzMXnYTD_Idwq<i3k_Wbr+H8@aCQ{hP8=8=vQm
z_1wyQd%78jY5PdCsJRALX{6=%n-1!E>_XrS)k=Pg-&k9(k7$s+XY)e@pSSEna5RVB
zoV>!^vE?C;&YZ6@j+b37sD?-0pE`^SG$wjQK?dPJ{|`zQ6uNN|mgh14#B>Y%=hbP%
z3-juKI<NKFVBTowcj1|vPJVhhd%2R+z``B3Etoa<pH@QtJt^w%y8=(DjMI+PxaVr~
z*y_&7slK?;eCrd9mg&qpKPEt=^gp40{fDH4G=<(g{^abXn>QdSXk1vZp2Q;hC%7Zu
zIs|Lh_x;*H2~&al;=#IEzH*gNqa1)fB?lV`y<A(h!?NYYwGp7q;HHTl*O9)!yocqE
zB<qNUI_*0*dr@C>mwoPtWus?*X}xo`slw-{^Be~%^`kiRf;Qke`O;Q<{MMP=V9(-S
z_q#4`{H=~wrb*dpp;_EJdo6wv%%9nbRW~}&6&R-Mao1z0htw{j5ruwY?Spmpy!!{9
zNQ3hdkw!+|mDc1v<{#XCUUmF{>2P}UWyQ9*l(HgPynoCSYvXE27HVrM`vXc!l78kr
z-Yl9}b_K$r+NvR*PZczm_SWW4_IBI=k%Vu=t$OM+*YfjLC&|gli6mH#%wS2}fmjj*
zi2Hr7sLPuJnK+5`@wfQ^MpEtJKHgwWX^;CKenIBOe|~K9;l~U6K0TQmr5mfq;hN>R
zxB5<*vlA#w+U4V$@h?%TrJoB#!yzkpwyMm>V4Rh)GYR>a(Y(VjW5dz%!|qdk;|lL;
zhMQH}f&L3g7;d~|6@QQfHK!miCcvgv;=GW1z`#aoc-{fEwYBU*U42vCg_G;cvz)t3
zoGW!XTzuE$#4`~Ixw*K;vo9Z0Y_%oDdUFEVuP2*$r;8Q{2_JiOS}16fZEaMU^%00*
zLJ~$B^}r%rx@%W+kXBP3^8$)n$KTEM*~uj)1;){TaI70Rp~gBkp0tm)xjw^Ny(jy_
zqjdWAkQ$}ZDCk+RtgG$n*2dkh?{W$*_p;r@IImBNt`I)@=yXeK;1cgf&D<gTYnT(&
z3-;?>`4?g4%9Mv91D&ynZSm=i>fA3KudSlJ#=dm;(E&7*%sjeNj{zb|D3S2=?8|x8
zIKP3akU&${i4DNgxaHj;lE0^}lD%_xx1Uel8-wq_TJ@?7twPlUlb}25S_0p>febqi
zHMq88N<`P?dOTlb75B-Yx!_8ojg*Aic*_J{ry0ffe6i~erE;c@O<pz-%H{$sq?D({
zv#y@2{A*kC=jZ-G*%0K8V(n~k`fxR1{gNh+4MM)U`#-$Ar2ttd;3T97zW3!Vo%ckR
zyY{sdI(OSOWUWuNAL?o7s<nUk`MG#$Dyg=H?=~V}-IMeaOE0na$@Y#c-Y=Z`Xj);R
zn10ru&p9lEXP9p1O&m+*Ix1tU)s<BbJ-?VWm~6Idq|nbsW%R>sk+3d5fgdp-tjZ^A
z^L5`woS9RUaiUooS~5w3m|~98<}AH|^tOfOOAqL~|KcIP>F3vVJ-fc%=)pZ39#&Xn
z8zt$8Q3C-3A$p)W%eGWZWa%fGL6BGlraHL^AmkV$2rQCjpP43XbnAp_rkGdbLpP0X
zMR4vcmstOkx7(7_gf)YtSLb*PnY}wfk=Q^ERBRAfK$)OBBhV1*CSeia)FU(89x9)y
zhhd#Nq$k5_vnrQ&&kU;+r_pEc%{KOptv@w=`Hhxl-yTh$(bqGT#|pLV49`1xItYai
zjnF~!&$I3q#b@_qId?;`^*S5YfJNU~EA{ZxV_>Pi$tq*}oL~BJAWJI;bD#%{F3u+L
zLsk9mO*L%OY?s~Ki%S(8qP;|+3b6~PEjf1e5^&hFKdBZGVGRMT9?V6ry3sDXTkk{7
zzG$8Fv%_Z>n!NxhO?%@FX~CdjW<Ig*$bCmw$5PEEqV^k>#9>SXh~Z`X#%Kj*_U4Xp
zJs$?!{|mXfqaz-vBfkFgZ*QR`uG$^4X*bui%eaa3a8+j?=vgCG>AC*wqnNT~o0~8C
z56jXc=txAd^j{!%I<^H_VTsKtgw`4iTD}gvvJ~%|UOTw@?nQFeI@~*V@2;sfaolZs
zHT}o5dWT}qq3ov8Z3|7WCmkvP3UVnN0!})XR%1!pnPl$pd!>O2Z4S5Bdng-#biH0z
zJ2ME$Q+-9gK+9?c4J*Y<%YLeYX<rP1ARKJNCbB*A)8kqFklk8FyApX6W>*0n%6RSB
z{O-5$4?9$i7!b|62hDEgNPjs0CSboj!N%Wa%<BVRkU@;o0G%t(bZq~4|H&K@?Hn-a
zBb~ddVrBJFC6GS+;_6a|7c0TCZ2F$g(>x5pwWA_h+kK$ZAKX@94Dx{W=wW7r<_YXS
zdko=`2~g(z0dooE?Es6~l7WHQd|!bn();s${lh3A`aUmMxq?3PzgcPNf9tx~|FWAG
zkwq#sIsQnfqbbh^882YLdZRm71vL)E>m4Bsv_gF|UEdF+w;3xl(|h~HACipPm<hc_
zmLd31^p&qD^}Vo4;317m<&8U-d5^S0@RTiB>bQ%TbVWslPJ}v5k;RIbRu92tIb0Ma
z+Fov*TZ(`X03y3#)`E2}z_1-_ECQKA0m8?Pk^c5}{$wv-ulQl}^Gn8^69_hkQ%fku
zsyRcZ+j(WVa$mD3fAjgJ4m+XojYfMQwL0cb4kTL9!qkw;xeifBAqpVc1<XS?%#|dY
z)~}@#B`TdzAYY2y5I%#yfYt($?ksblpl)H^#dOO;s4X0v7#)bU(Y(1i>9jw6@1+4%
z1nM&#yJ|Iz)-rWd4b*QAuG(=q&c;4xpeoj)WO8CG%CWsHIy#!uUKaWqRTLAaSKHk9
z6GQsN!*mjzh39>Bpqwmh`|E;a%-Fzz^UKnVo_j$}@2W+dv!l8b;9(okLD|b&TOHq?
znx0UR@vjAoiVQkS++wIvS?~XpkcM{5E_^gy^d|C9LitI0P{KH<geoFFmyVD0_Y=^#
z8)8?4ID2)j%J2#rww~Ov9;|y62_<hNRsCoc-{+l;Q^pR5E<i<R_D{bZbyO5vlv(19
zOZ_0QUt}>VV!0?Yh;c{~HJ|9zkCkm)WOefzbRM6!(LIXY*AHD*Sfg+5<-A9s_4+!4
z`zypi>DKJIc>@}HLitUW&7WoQO`O0@_PTWXyE4GWEVYdo&=N<Uav*99cOjBM{VpNd
zuPjtCvHS+abA!$a3Q?L$pMM1?=0eYqaIHVF0|G;0{L7_;1orj*BW2#&7+a~Bvc>Ar
zX?1;pOHB_lLtjUhZ==ByK<a9N{y`M9AF@&uzz0>-lA)W)zo-`r_jI7Mw=|3VF0q*9
z(p43&QWT>;HhJK1qh|^#G|lP26fNdDS@0M5zIU8?-2WuX2g%65t%SCq4<MZ9l}~qw
zyJ(9FOTxrmCn``zY`}H*Bicf?$muVVNMv&ovN~gyI+kn{Hrg7kWBqc3-sO=W5ZcFp
zcl%qVd=vntG`Tcq6p&7qJiNTEUyOq!zr+)-g2n1YzCLYP8te~sQXZ0JlOJ0Z0JA@*
z*DLYIR1>d(O6P7=L3QpB8Di<FV%-tSo-%z-$-TX|xoiL#ckeH^MdLqh{#pyAn@2`e
zb@YKM7qsEP<9!7g$P*3?&ef>9qhbqEbNp-<oh@Pu${xR5#+pZEV+!e{Z&r!jJpKz5
zBcF9iJ`nOKO^SrILo6vlsqO~VHN(9I3tj4L14%_k@y`uPl*8-Y@|BgZ9vpp5zznaV
zw8-lxx<Jfj5;ldG=v8}vxOKj7gy-WOJt1Fv<n}`(N(s4Y&>Qfi@ztnSm<PPEA`$=U
z%B{)#$+5(WrE~%vF@gP$gn!tuV(Yotg@`Ks722AuC^c9?rVD_;jr6Ms{m?77&p+|-
z%ZQ(;>=;>0sAIp}Jj9hu6SMWrvlq+$L=f%$1ZH9TaPt)&*hZewSBQ7w#5c^k|1a*J
z_+OSMXjK2-mf-K7etvmb$Slc>6%%7an(1~8<$rCv0F%QeW4la?%MhQGKn!BN$|!~4
z2p(`*I28inktjl141INbN8(^6jm*7=mZ)&<PDL1LN6~boWWcSzt+h4KysTI%?<PD3
zZ8r{GF2t-0ff%bBY)`<nQ$H^l$M<Sii|r1+9%7fZmPke!0RBzaMz>g5!d9%xXEXC>
zx*^7J31pXcM1_;?tqk@;)7o*QHPGse@TQ&I`jgF<7RerYDb8~p|6EXg)(07@7;?Km
z*$!S@U0HK1r8F6?4a(!dvZdlYn(S%=_XY3&0!{lG71I@3u5K;IV$^J?L-o6#$Oe+3
z2E@Y1dZ-VG=Gqh|6Dv&SDu2<kL)>H+k~EK$n_^e?4|Wb31nK>bXRk+7F%<|=H%O?R
z&Hx5+(4v*ZUr<ZG&-=~if)k4E$kT=miNLCZ{$X9^8dAHtvNl!g^2S@GRAsE9_Jlfo
zezs7IqcZ&V45_ga%8Xa0avK;OR1N*=u+1mlt6#!XUL3~_@8*(L58b}*;Mg*h=V@JY
zTY#xeqQAZ;70{?n#IpvudNU=9=V>Zk!<$;of#)XWsW)^A)YL+|!h%$NCe=$BSBNv*
z3rWbsRjJ51UH*#?jSqiz?q06!zAm-*uQ7^bcnSK}aDO3gUD&D?Q}OuhEXP;d7FJG-
z0)-n#pMWlFQf*c~*t8865wmJ<lvk6%HR39iF36yQ+q#@mgm2{zmO&&{6^L#Y7WB4v
z)ugnmUy>oB>H<w6ur?j^#<}~7%IJ}^Z6k+IQux6OL;?EJQUz)9JovFg6<x~`p?v!<
zw<)`+;M|Sb7CC79>aT649++|x%3^evl}~2oi}%+%@+{uwpNfu;-(4KA-Vtyi5^zOA
z*$n^cs=Y90iXm5X`Ihn+-B^*}c7QP?VAv#}!#7IEuA$S!?qL~hGee^J(%Ym85zL#4
ztXMg#p=*taU#bDX1H(=mz>TCN<ivG9=Gz(eE@UQx^f7^i?}3x_5Y7_`4#FsrIXT+J
zV4S{;@Y!tv&RPXx`k&pRNTX2O_zf#IAK)wn^_h0me>hwcW)!ff^orkvD-{lbNg7x;
zZ5s-avk6$A_U2$}39TMA3n)$>pUhP)L9%GQD5|Q$alngdMKUn8Z64~ZjP3b!1+P{z
zsp+9xe;=$3mCC3J^;a@pFP1+bT?Bk97C?@rG`{RYs5DP#W*f&lKCr2l^yta7;<k_{
z==*emxiI^@j?&cRQld<)q9IaiB?=32zi9LE{o5}s_Gc?he0kk}TXf>c*@8t|oQ|kR
z?!zC{Umw0v;ZHR2L)myArBuLyFUzxY63^Uqx&SId3+S53yDfCmdwcc>BwU5ZM|!T(
zCpGS2aOW2@#BN?iX+u=wqq(-W-+ELQBHL=I-t+Xk9W7*vqV@eTXQ)x3`JzmDs!jF9
zCGwIB%}yRzgV4jy9DaY{HOQ=gFwOX{R-^+@&Q+$0x_`Lk2~o=2nty3i?N5oo^6EU-
ziGgY>tQR8V(w@VgW{awfYY&CU9_2d1tpe4uT%AXXg4#fm&`IG}m_YSFJyhpQ#_RhB
zCI;3diw;9C-Y+;v54KoJ0s^6lWMaUHX{bZPhP2+5fBW(l@g2*YE3AW-F!!c^L&TR{
zdQN0zVre<Yh_f)0mHVMj#D8*3Z}Rp?gBQd79+R9Gr^n1>ou4Zj2725NmqA@XEPscn
z7oEBlFpD?Vn`h3eWNx-uTUTH|ik~QP^tS%K>hg=Eg5^}BT$j`fyhIR0C2ykJ9{e}u
z*#cwP{gHI}mz#BTS(_0*k0BVY4J>9XV#{3Ktb{|PNu?41RES75fqz0SID+Kc{-Hd6
z&M&$Qiy4TCVcoalg}HS`M>&*p#3D^3+X<gS<8(mr`!LSnh5(rIdXHi&5dk2da#XxY
z2__a#8l`$5lPPqgVg&QqM=N7=VRSKXCq0qek_5n20nAdK%u&393ynZe3j+f38mtim
zry>OjE<+lE2y0zaR>lj8=<r%vU|InNl?{Jxma(addtleFg(_l>C^cFV!Ep+r0nn<9
z*~Hq#jS6!Y=P3`FU@jN6I^h4|3qaNQ%k|<`^+1|aEZs!$Dftj4+Mt2COq>0~Rirqv
z$bD-`4y%GokFY7>*Vm}|0?RM)mm~`zE5@i&$d{)wcFcY7W03jy`-K?74hY)IF)>l(
z6?TJuQy!%mjtc>et{S0ADKcqv`D$i#D>1sCkW)&DmOznIX?0K_^)3vb`v~5{*|%_-
z84&hSEK!y5PfrMtE8sl+@6L<rWw_HF+*8pNVTA#-1}VDQ)u!8rlS<D_X56+{j3!Vs
zlu>^?$2urv&Uk!AoP$2&c{YYAM0Dz6W^w6qbhi$e^y^cb$W4|98l}+v;5C;GQfK#j
zA6+hDZ!~WC@hqv5Pw$?jygRo<QlAe--r~a_@^J)rw8G*`Z0}?a{d^SlB$bZoFwLkd
zSLgZgv8e6j^y$f2m&|qJStcSji8(Hj8uSg{7;Rk%mTCuK5~9|?F72qImq94&N4-%2
z7{|>toMH&%`F${a`Vo7$Z$zKHw?}s&OA;jsAZ@*bhkZrs@OKPlVL=qXEJVIn+lvqk
zd~Z~tE{;virGk9K_y2eYS?lwOSW#}H*+@7>KX0^h_29A%`_(|`{ph>2a;NAqi~7=5
zT_Il|Okx=z7j_{$Dxn})>uI<GM@tA(VE&$8?tX8jI%N~z?U6BQEORgjj*3~$5CzxF
zu#SdoS8fZqeQbIbJwilMOpJ){?HyP4;DsSt-mm95bycnB^q~e)t#3$&ygZ_-%Nhn&
zU~@J#o@{RQz6)f)i2tKMG557N715*)Bg1xs@*Ox9gc^z%rwV$yd-T@>QgDDgoPq2@
zEE^nv_yYe{CeJIu%vuna@O>VKMM}y5mifZG;cckIWRy&T>G8nuVYVbyZQ4D?ki9q%
zC!>%Pg|tt~BGKu{-0EIX{9T~0<S~pxKpuH6pZm(!pH8pV{4%aw$g><}*FbarXf-8B
z(){3L^C`ppGj`>Jd+x%jrjUk7hG0vcT*^eXX|~3XikLXC1><moZ9Z084NF4*P0zkU
za)dch(Md;qH3w2@7Mqi4vWH7hId7!YUPa`4x;%@&PuJLYp#sE5=>v~{BhM=NVhI*F
zWSR`2;O-@fxjL7Ah#Yypyp_4>%9tz>-wP-+ZGqXxk%@Y+(7GYeB*R)vk4VcivY6(z
z@Ag~PQ}Q*fQJdc4+^N$cO_z;$6<xGGpZ=ELxst_93BlMG3*PR=t4O_Kh*3T9{%NI(
zBpo4ZDKdj)jtWR?r@pv9m)+{%7F4~^lvy*Akv|H&McB`-7$e&x1qs9za`%A>93lan
zT}Uxd2|1i}9K5e&OnNK0dhLHtW`^!n^iI~vC&KdUJ~xuC%OA_*Yk*fcK-40zb+qc^
zYYR!t_9y3ri(O#>BTRzeX-yjMs3c`L*5c5ZEmIGFe3L|Yn_@lr)fB$G+^RZnay17U
zuOle2C8|h<cnXA>k?=)|F2{t#zs4FpU4ggc0|I<#fvU3yf<a(So<^V~<sliL$#M9`
zT7|V%GGif$(58ZL$Kk>*ax^oXu&*DR0A@}F4I}H4Ayy)3QQX5Q<rPnq{FQqljEDnk
zG7=LRNl2dKfRT_IlEI2F=iY&Hc3|H;IzZMEC-1>%B4THb_Z7>)<6|+%NB9qrNXYmR
zp`XCh6dfi{U(&#J2w}Yj0V@erl&7DOUQa`f6F7Szu7-J!c6hccHWe=S_;?MDCz9pq
zGZF?0bU~dcP_VatL}r@C+vF8M-N-pjKryp3CUzfi5wU(;n5@8<*j&%0(>8%>$k!j=
zicjr**U7xXQJu<}`D|tq<CedCtdT*a!yka-((7xr`!EkIFc{9&{ASh3RWw*o>3>%b
z6sDWdjgHY{Nm93g5)wVVm`Ml~<a46=%w;cAbSWVb1e00<M&g*`42;lfh>>QQw2%ik
z_tRM^$ZmA5BM)NiW>JZkb$^ucHK2zh#%0zg&<h#w@nM8viJ*;#w!>X=zr^Y?*7~%2
z%;y$giJ8ShrVoYtZ$~CzhYY+Kt=<Vb;$Ovpw@n0Ezz06!?NH4ZV;fma&+fZD5pR`V
z&lT0llib7L1f_5e20&1>gdb~<-x@Q0=6y-T;5e)YIZj`sl-F9KgVxs8;wF11+~NBs
zC6Y)CX?0;I-~W+i%cC?8qgs|x+ajft$IDdt<E@>Fz>Z(K>s(Vyi2tayBI<z4Jw<;5
zIW5o5g+-158cb-NZ-N;DdKRSY;j#&tUp=t=Eq$eGD#75KG8vR?A{(0y`|a*@W)!l;
zdiaR4`xi39h9SLVmq*I}4yY)Pfmcs7%Si^EYsHj^9b(zxN#m<O(-_>7)OAjN9`W;;
zeUgDhigdHCPdhO=(ryKUnj-Q8jgmW{;#>LL&zEQbGXYi{Q4H13VuYt7Ut+9heS-7%
zT5Lj=IDESD4(O9$%+z~#Eb|9#yn}K~v8VTLPuCSV8Ef5c+$D}b0o24rJZ^{X@B-eK
zBokhMdSpdaRh5<7*_TM}v=rbwnp+Mv0c3vDNRfUnmn2clsW>M$I#(R6xizBGeJ<Ff
zxGRA%J9kri3{>fo7uQxf0!La=T@{+0zI8p4m(;){X0)EQ34K_PZiLoCq{dHifXb58
zPvAb(6AB(@341reP)7)MttceEm@evxs+j^Cr*|cnzsT}Dcnb!!<R}SM_o&Y0>BZmG
z%bI=Ui+YOU>de$~3t4sC8&+<TzvQi}w6vi_49irz)*g)_)Rj5f8S7ZIHi`f*VPqN1
zga^lJlHbijxcMn!jcwH3LL(BSk9=9+ZO}1uaU!x~wCI0W7^YWj;4G+y#V-iwHJc;t
z(DFiL4lCQaOHb5-etQ4UV4W;h%#%%Z$F!@x@n$6;_TzuC+S~M4W+;?6cViN{CROV{
z7b`gUjA_TApQ|a~+sWDtt8`X=hu^IRvBbpL0&k0!sCs*vW~13dB#uc;mC*-#S?dCe
zC7eP>osm(iQ&F1Ne#8_<3_`{G=H#OwP&KixW3*^I?ho>I!YYeDjJiHa1!*MD$jf9o
zZOQ6N(BQ&}J4)=*>pCQ9mYUFJp^VeZVgJ`W>xf_+Z=-o*!%7Ie6FPiq>-e-(Q)T4v
z9t5W^UDZ-Z37W)~DEAWYoF(<}D(O%Rue?LjI8h8prv9T!^oTm50{ex)DV&k>y;I(J
zQ1KB+LdDtE0@TCs{{EjS+I{82V{}qj+jkDa2jd^iB=1f(Yh4DM)+9(RQg(L=bMK5E
zM+z%}=!E5#f>=e#l&23_mc&>1#uA+}>B@1IP{tRdqHdKol5mfhp|iz)lvNxdc9Ak`
z9?2|#BR9nzzRI#Mp}5lr|A!^ZSio*rNn`%zl|Pk=o92tzA^;geryz=fP$dsa!$HYO
z+;jn*Th<6u8orK)00AQty*}ZTjW}G0#a76MiL<7r!>Bn^pP4<EcF^jAzDHFZm~va7
zSnT975C6B9RhdJ{UQ_5awGyn>VA6RErE_qRFlZP`oIYUF!!QdupLz>;>BpwTOnnBR
z>QLyxLO$YUc2p;tgY7){vyyzstjc>aa|A~2kbq6aHsZm6`1}{-c_$$e{z0RL80tL3
z#oKU!5=e|@@BXBf5W%FvNUDm>f&NBTREEJ6EOTv%iA^YiwFGon!gM)ZNGEdpcPtgm
zs6`tO{)!^uwe#?~k}AZl5b}XP;sxODGxY!_edtDm3|a_zQ;`Rkya}dp$G$0-;0FN!
z^#CT1A(sl~pP8$2GU=2#%GxUPhAUA=OxB^R9hnc_{}Aq>ed7L@Ignk#DHwOurP~9^
zh@B$Uh!yu6V#Gp7OLW)e2xFLLYpB3a<O>djj&eHcE8~KOP>MmmNjy%}^V82%79`n%
z!%eL+k^thh86E5nfmzZLPe1<~0<QVelt;1P*@dJYVHR3F{rx+pW9-WE_1`kf-CqkY
z@JEsrQOruln{B=6ScXoQe(LmqVM6-J`MH=Vzy^(3YWJ~DVInd*EAdr^DZf)LwC+k<
zX$VuxBpQUUy8&F0T=9N`-F0Fk!w=q~ju(-<jX}~PF-0Q2d^@t|AnC{)eER#vA2$9-
zD;|8@&vPl6ep##w`u+lM`=)urr&b1+e&pX1J6eZXX<DfmStY#3z{SI<wsnKrr_7Nn
z%i|1ny%<P%Ph8hO%oLm%<LZ3Nob1SGsj3k2Ca)H$$NxOx$pcJ=kA=enz)`z{W&d<!
zB3*<yQ7tG9v&QL;_RGb@JlH+V2nDhFL|oC1KyKjG7#K6|VPKCklr0eob>0=x2O>sw
zZCS%aTM3WTgO&u#b!iWg+ZnZ{R#;;+K#?SLR?^Wrc`<d4iok+Poh$Y(0_TM2o?CKL
z0l;oV8zOUA35Gv}1Q7^LIv8*Lj<0B5To;}c5}+VfSOFykLtVt7idbISR1sqrVhM#p
zdu{<IE5TcJgiue_OQNb0CJM~O!!Zfz{ZcO=z$fYQL=B*)9Z6z%GvJ8|At>0LF4rTW
z(j89GXO=)^JeciVRMI&_G}_6!^Zk=Nb`6vdMhrN=%mvav{`KD=dhi8mJnJu!Au-cp
z5Krzl2_~Wl6iY^%e+J!O!998Md#ngLvxBxcTmLiq2X^FecZF=S%?u~b<HyFdNeB$4
zM~m2qpm`kDZ*^`xDCd7i52zOmmn2NlaB77{KiQwiTLh#-g=zOhMz>lVLOgdM-aZm6
zg%q-Pzs*ZV{oUft{R8AOBhmsG)CR**3CxPjk5I8Q%s74kT_3>^#^TFcDZQvwGI~ff
z=rR_s2UC=#9vA!<4kGUJ#{`<Cx43*nPe^8gBGVMTe`Acb5VRSL{33ZflR2n>Q2Px?
zVUj9lYaz)Lv=(Y$2aqt`#JtbQ7$bp<o#0i34k6#KrGQ73&lbF7<YPel8bEx~{G4F6
zeEgM}J5zpnzQlf4-{(JaY5rt6b#S5KCO_7tMXA=T3+hbWH?UkvqJPdkQiHzl`^!BH
zaeQi(I`>%8vjrjv%o_aj79u10t~h;IL;4xt(~bRf4&yi-7Bws#%x|Dw`mWka1gVpw
z9Z^<Pw4%}gl}X~An7R4#1D4?%1U15n9Z-a*9NKcnZ%@(h->o7c6l$b?7L)pqIFWl*
z(;C8%X|{=^6=iTp3uvl905&!@HjiW;<F*dsU0z~eN+<Jf8B9r?pnq#nzkJ7H0@W$q
z%9ShV_VPPdLt`f`kjg?-`ywj>WgJWr{DBUvBjrfmSF)!tJ;=vuq^UFLGE93Hmn&zP
zeJ#f(6YLHqWzyz;CiODYqmn|c;_L;nfCM`SOs00k`BY)z*%ABWSaIJ|i^S+quep7*
zsL%Lk=XY?YPB>JXx>}$woWKh}U<!#{u&0;FRhwwr1K>g_`h?F${2NrFcumN$<l1&O
zFm%{w(%BpWKj;YvJ&JMT-XS00Ti+?=Xw=vhEW5U8tZ~Qzhu%F@a5*-IN!N?R&{5&^
zH{FOGiq8);bH@i!gg^tNk0H5Ik*7^OKR@Ge$-seIHO;AFX8)7#SPSYwyZWm0CgnIZ
z`y<iVa-rK5hLR{WWpKDur+d^%2S<3%V9n~GCR*abY`_}BgL$YGeS{;`nTKYjyr2K|
zIJ<wV;MJAN$SI4@ZB?6T$M`Z=+wx8CfCM;q!}qre<5sF(n!;E!dy;6-47{fL3d#Tb
z)vUMh%W79AL`NH1H$nNVNClNOwU?vm_40Te03<4~RjCV?O-p8jlE>SmTUT12{n|h2
z?t|qB<!@-_B?4XfG4ogpOpu{EYl~~E6w%B_^{83=Y>OOolGuEUP&|99vZ!QzSHxw_
zg!lb>RO!11zr{d`Y4&-+p%75(`f36$3yTZu)9zI>N+OvwPIpzt>NmU-1+y|am`9~v
zfR9)Y5)6g+G1y~3gJp1>(qEWIPY@e6g~{Znw)rIc05$osVZ%6fe-u|^-7^==-);w5
zhLDXvpvRvMj*Sob@LjogkV!}!0>l3lJw{E*WHe-R&d*tf7A>(Vn^HP~>{56cU*5i=
z5<Fwxnu-Z`xJ;b8@mF$AhIgu>^UFWjifTmP?O1w^%5$XgGKI8@GG!FUh&Y>^e0P>~
zUv3ME40{SLFVnYXP+iOwxJ*d!gQAjW_%Ubi?d=v7_x6Tor6ohtHbL7lTJ7B_pP~w+
z1Te#|m_SLXg-{MhEc8J+)03y=bxgo)>jUdbaTI{;?Xo)VQYoqf{wb&i<uJKYVkXEE
zm~ob2*w2em_5NqLAOEt5NyJnM5-+8ftJZu#Xazn0|8KzfFS~iiziU3Zul^8KUk0f_
znkRTp1q-sH(uNB`ayC`smy{vEf@HUjLZ$xDIig1IT<0vbKHnD1yE5`&&^{BUDE;b@
zodb2uHZbF2%&-t(hKHwhDdoKUfl9$BtQHZSf+`&aA~5o3t~ayi0&3&r0z+GJbsI=v
z5wvnT&s~%%Vr84)8)|n#o7f*iPzlo1n<;{7nZnKMLU|RRC3o@ilW$K^vtnF!Iyl5(
z#ETbH7ef4I91c|CRqwaORcheW(2qYtkFi*|7kPy6BRnG<?#<(mXN1q>FQD;AK~Y?c
zL$wwr8rx9bk2nEq(o67f-D=u0VL=^f_oVT2*+f~+%@u9@mPx}}--0c>V?Ft?3BJLR
z5%?xiGhD^F8|$~y!<4Q~e(%#^km%WkZ6WqymZbsXTb@In@@xz8cZTmX5}E~h7vaE2
zhAFw-XR_U=4@V}HGqyt=F_;%$U{48Z9$^=&xTPbBK{42ES#~oB3E+@_+cMxHQx7CQ
z;xx;VUQN)q%yd~mwQ`Gm9;)Ql$9VQEBA=6{yuXr)<<BoJa_+|NACf8jzgV9T){LS@
z{$rahoE+bFC}BpA@_o&!qo4Og7W;0uudOfRpdsv{uAa3_eEDj%1H%(jSz4-ih0>^^
zWV!6#T`E16e&p4U9BJsHB4IYr>J<Q^q429X=TO>4aS-`_s09LC896CKdp*UbFFmeC
zkVGWRYWJ(m0mY8;ws`eGflFqugZvZr%dK6%tH@tcaOPhR?w6yOIiCwpn^D>^!|E`3
z`$p+89%OC~W3LE9e?^s1=L8_W6o9K8(L3-N3G%Ly;Xow#kfE_()UF^dDxZljZ?G;s
zs#sI1{pU+Tz4OsWm-|eeG5^)$D_bnS+8xc0x<si5zC1$BHkiN8-K{m0`wBEH0<5w>
z6>Y|T6b@jwcLCy{B}gn~Np>lpV{LODHmbW*Xk<2v75n7zT*dZG^@Rdjb1ldFsy4fR
zr`IrT30nbMRLC;k1M)z@bH_>kI7OCr4as8N&uvVtMtL{O{pL5sT(p*A2G*j3fXkk@
zX4g(z+wSkja!}TE?uJb=tFd!r$aN~SEQfKMM}T5>_kA90q$=Sb6WcG3SFa5s=TS~Y
zAC@?63&PlitBRM>%#~Gw3boAX<<HLD1mBXpsGW)STHug03SBGF%$kI&eUd(&7cKs!
zC7ZQ43^SetO>EP!o<nsp;KxxJFLL}U@yGi)T=ZWmmxjnAhe4tF+F4)$suAus37NPU
zj{MY$EhG$(U7Dk!VlfQfU>tOXfnOpH*gVD*dw`(SV@k7#TrpPRUM|#og?PhkO#=w&
z$7Y<>P$UvQ4Z~1jL_e4E{(PYZ1DS#;Kn4j8m&h-bL}?e9tV$n(f#`8QQ#m9+K<M62
zuyc0f>X`@=j#%jA$3TUL7iN`%IMxQ}z8knl&piyFUdrX{yB~?{Q(ee!&z7T+?KF%L
zC@RF}Q?(y=xe3>^=t0Qb6{e&>as?1K)tP8(2MxGj^{qdm2+)R-mFe~?%R{O00Z@y$
zB9sNPj-aD9oWVM9R3+J2te`7ATS*8TSY0x2ypQTm5?@T<$LdP!mE427>q|}aT2EC*
zz0_an@Wm_7`_k9{&3CN&cat7d-Tg1R-PZr~&FlREX0L1&=4MGM0y^PHwAlmYsPA?7
zq%3?jMz;O+nBgQ<|D($Q^o0J|lgFQ|+{B1KmA4HeXRXMD$?zYO+PRuM&NSap5zXw$
z>O!~c5beZb-l0J29`kuE;^auh0K`=pYH!0a2{%!7qKd-nJAarEpp5v5tt>J~9$<3)
z0D-?oh9S&5LiNZzv<pxb{Tds4s01d1G+H7Hq2Zr`Z`LP!D1IeC5;rMPBLkM9LUV&n
z_tK}z?^lhTyhXG2-eNTTy&-=lfeR2eH~97Yo=JHp^)yn!60Wo#$v#1DN=k$T^k?!u
z!<^E}m>xaf%`$&M3Z!1V(P|DsAd*kO%nIKm9qOk+EC59nkKe=~0e3hle<l+sBm^#-
zBoh^p$@LD1D(DSQ-@`RQAR-UrOkRIV_{2J9vn3RyVkF0nss2O-Q7&!4l!?Xxy^{>}
zjPXNwq`}J?q+OKWsE`1%v0$kmb-T|cqnAkVZPceQC|jA$pGdA<SZ5D<U#4el>(3r}
zB0721A@kwiU1Fis?)2gIl{Fkd06#<z$s}_M#<i##7~N7J;~+Wz!WUT`?SDAZ7UG5p
zqj%&h>!4ftx3Nj997><hE~jL*Qyhd5ed?WGXy-7nV(bC}cvg{%dKl?dw0R3Ti6mrs
zErotvwZ*|v3_H~gvN~~hS5WdV&2)zQ?*As}h)H+DU29jHy>e4ow45@PmNGnxS5bDZ
zNVT!H4yei7c3}aBi+5dJr*xssAjl2Jz$k-Bu#+)R_P3Q9Tk??-*Kmwdt#$4D*99N4
zXfvz|c=zACC|80g#@a~nT<Xy3w#G2G`>})~?=J;C%dmfDsstW_$UR?}Jon{EXmMSS
zGex|r8^z9KT9oz|>UuVI&?3^B{eO{q-6PwEhfe4XeJ$s}BrnvBH_lOMbRTQ+(}WKa
zb;7P%B*fyGrAgRD<PK0E-q4BV|4mol*|x8PkKFwMeUdRYO^_fjbf>^yOg>}|7luV@
z^p%j^0k_T9#zPV6@q2S{4F7k?S%QTUQ$A3=$ls1b+Ixd`2S8t+26r~<a-ai~yTWO+
zE}kmiliTv;wWcP96g_>=*#D-=usa`YXAF&C4(!78+yUBcU`%_6ir@BLUB(<Pf=4T8
zu7Up*LYQhI@bbQae>4b-EE4RROx>E;D1j^%*cag>c0XvL;xmT}3#BxoS(|!k5+&5^
zrU`f;5P~SXJ79@1;Rw?=1-D4w|EG38-g!o1dC#<aH&C#kN;zzYPH06AgS<5+<3;@u
zR9-k*ozS4pbEI84LR}jRNf;(C9d?j<YBfrHVC2;m?|)&@P@M!x$;75WHH;Gi&dwn0
zQ4)p1!N}u<xmPbp<!;tg9?+p3)O3SyleGsT7UlJ&peG%*G<B`X{z?BNb&R?@B02N;
zJ8AaL|3k!A_aNznFo}i1xbAs2tP2&DqSii#AyKH(@a^6ItCimU%bkWjG@}1ic2=18
zx32g<oxi@ylK<cOc$^^eauMx`2=BfH<!gk^a;&_YD44myXsGWtPR2W??+;4sgHBN@
z-}%P8g3BzfW6iD`S5eGGE4uk)#Q=4eOXUt9B(aD(XQ}&C{A>N?61FKije6HLv?`@b
zj*n5QMQiJiv_U0Yj{Sb&<7`y$c*M*}U_w>HpjE*K%}K532sU{?K`jJ*4EEQVi;y)z
zjsMiz$IfiwYV=`S#`K;>Dlh(B$tsL9OmRR%`eB5MSfzIAMMm|_#lL`wS|>iu$)Abb
z=sgLM4O@p|5!3!e<GaG8ygD=}m2%nSm;jJ{6(RR8B<1k%r*|Vj4}NU&vINT-jyL_O
zxxDBE(%+_EkJ3_@|2qgCmEN;lkmmy4^pc;4DpG9fBF?F1B2W^gn|~2hlg#l3l9Bwx
zIF#;m!-lA?N_?Cs7Fc0XyUI`|?IcLH-Q1!>jP&5ORB+!)lmTJDgJMD!2<s+nLD-H8
zVJVcj5G0+u$W9W<y<%r_@efN}51Z0>CghHGlAA9R&LMs4@onK&*yJfF`SBro$orkd
zh5;$q9BMYG`PXKHNWm<`^TVLTR9=O-{sN2{((qsxQXApQt>;?6(u-hP4uzSh1$8>3
zcb~IedvhQ2XjHWLf3s}b;0Y|-Tl!Oovd7>|UM0d1<$dSg?@bO9#6nZC16<ISAVo!Y
zIDUO(d1ZKazQFXjPhT^ZsK8rkqz&EW&Dhy=xZ-Fo2b%&FGX>ayk#VLW6SK<b-3aCA
z#j<v&nJ}Jg>QO~c#SD{ItWW=^UIxolcOUQe!<Lb;zR!CnMwnK?xM{oFor+F_0t>xz
z+5<X$-w0bXMoRd;|EZ`q>MzeZ_hj<|^}r{8K}Zd3X<naG47ib3ez&zo`k^$cKk4Mq
zp)sfVKm~-|!RxT8Ao{&y1G8dYZBkug*ztYDw|{;+xw<gLs==t^dtY%G?EEOfin-J)
z6j46axA^{+J&oPvtttGFI*>P|$>HW81xHKjgNa-|HTj5h0}^+(`gGrQ#ecDmqsM|&
z7BYOhhcN9V=T@>z&Oy(qD9(TuznhAS>_RelAkVlZO^`tw78`aU>};k|sq2!rq$x6!
z%QV2}idbwVma$Rwas`J%V|A#(#_2*Q(Wet#9sK-?Xn0HW)*WOwaA!7O^~IIqu2N;3
zDN~V940EX2u{@CRs#FxD4D1IkE|z2b;oK`v3Ps%bj6z<iQKY>RRC8o7Jueg+A<iab
z9Ns}YY!Lw9FrJIfN}HrZ{_2r<=f?o%F68(?D_FmA|1K^R?v{JEFQadklqt#H0-9_Q
zMQ+pg3wcq0K6Hj)65j}OQ>6OmfI}U_0Kbe^elR6G{)-Z|Mbff^-C#5H=skb;g6+Z{
z3~)?@lMy-V_3v}hwnQ$7*p7J&Bs?0~R~~R~Z|^@vLbHz(D9pE0lPzk7=}$K<Sk{>I
zYWos0ni;>JuweEyg~RSIvptK$uuCj$8r#yWeTkICT85Y3+wNbs4VnHvD2Eayb7%wR
zEpT=eqt9O&wOps(M&&8fX1^e=K~-e`wqZOFW9UYIA`iQ7h5-#*0u?ixsltv-z7PdW
zpcL4;67Fg;fhhI9;MHk+JMJ*Guzlj87dB5NX7T^@KG1O>fXv3u#?@ic7V1J06tj;Q
zgqQrH5_C;=zQ79M_gKsE*cPlI`)e<@P8r2KEb5G(+aCxK+hfg)(~%4;_Ln^UJ_P$H
zKfkmjkZlOp((AaOXHjw9)IDN+U<(owQ=b(P@Ne@F7<SEF=<Cz&aq1j4l{QXSbif9G
z8UXT3oV?f07XAx+OJm;<ecDw7`{xA0Iv$U0m2{sD34ZFOy-dr71P7vTrB8TszZ#MM
zhiymy051Np7i2O$$}HBvlbLGt82@)~(G9?gO|{9xvAR*hUmcDx+k9(ZYlvM7*9}ZU
z_o`F#XH_1A2hj9=4m@et5optXIkm`<J-)j7;(_S(SSS#ufYjLcxEVi&1z8q9mOFy_
zt9m4M{24RzmAk?>W2qFn3dU`bV4a#K2Ue*b$kGYIJN1edSaH7%JN7LRHx<;{<|&pR
zlOp(4D=AsIg2qE@KlVTqE}G?e%EuLkbjg89(9_q<J&~<}xhLZC!Un=xM|0=xudETA
zE&G$yC!xuP@;L%0wrq|I8pjLc(2ooSzWMt{NF*P={r0Ukj7SgZUcPIZalbQ;MT@~#
z(D7fJeD7tzPc934+)>)5M?Y(RggTKO@_+Wj`@?)g2{N%8c1@Lm{@3aaDO|ysCy*ap
zvS5G2dmwM}vy<tE>_l+f#^nEX=4aZGl=dI+mz;i25R@C3eRm&<;LuLf3=^!VZ=R$B
z{NzN$xAW_%T?0(5jaoMd=3wvMNECPdC1=H)6Y*7h77sfhhYNb6oAG^w5w^260+&g9
z^Veg%xx*IKk_P>(X9Msd&~A0^WQKtEs)a-maQ;A8LVaSIkkZSMzo|r*JI`R%4A!YX
z>)-<BvZ=%8tb{<!GgP^`Y;uE0n9O*2gZ8T8e0BZ^R-A`Qp+t6h?AkCX1;(a<TyQWW
z9j)06KG`}~`TF$bCnHWtoGrrK7a4++kPO!PCMUMF@xskJ9DKz$U`Hqz@9O~<{UwEt
zJT*g^k<B;Kojt#Re5bTY4EcgcdLM`1umrBifH!%NO#y(sxNNF1ZuOs`OIi{OJ$=g9
zcyD}#>PVp`c}H52HZ>4EBup1*{Y*{pw87&zdT}XU2f~1mQodS1_!#Ewg&Y;wJJ93c
z63v5uPJW))o)R)%VQTZddK?G#{;2gc8T>=Yz7V>_xd;upOvg@t5ZSw-9f^_?8toi0
z7g*ok%b-4EGQyGnn~YpEl^_HKQiGi)l5Ak6E!h)nBh*iwEC1V+!88dcdbUc?W=PaJ
zROuy!T&N!SO-0JKM8V-ZFnge#B=M60_Sz`v{AtF$AIXvn=fq@J-lR?D<2<&r&kq}r
z=||TI$8fcMPyK1^RNMX|94==k+r4479oUO;2%kNv|3&eZj<`biyqOUkKV2W=y$F8&
z-S$3;3t{%MzW2?&HRN4~bk_f3)s+?v^U-|`1KarawAViG<`0uV&;;VJIbbPv8LmGk
zxk$Wdrdovf_*nS1;glH$DI<GWcG%8Pb7B-oL<6z_ADdPCV24!UfMFBtM~}<BMr0)`
zPI0~DY}q}KZ#Z08`$o^qZ~{KuJJ<sZy#+cl0xPsmT-ftria`t93b9Tz)Xpx0tvGyi
zfTl280g8l5O3ZYFe%kb%%yQI^1cI}^TITD%<&ZQ63>IOBfE8#Toa&pOw*<_e`z&wC
zw+8(mp?A~f?W9T4sx1C!4jVYA(On&J3vdV<-<h|v;zlo!4W!c$FdryI)Og63T}WG9
z(xe6Tah4bhXv2WukCI<Yip0eOyH_Bd#4vqVRHy*iG4HXWU8l0z;Wto(A)ET%;BvCW
z8Y>~|3LZ_-dC11bh8i1NDf`ntDH4efrQspN?D-TmNBET7S-j8~#_$0Jpp^DGKsysE
zS_;_9(n@t8A)HK@==@Zr`Lq;JR3vV}Jt+;vNA{e54lFY_%r`+(5N$sR&0`HY4G?Dn
z-3(qbLBCQ!xD~+Y1z8zLod6$<_JWtnrO~aOoI_Oho1*(o<r78LshACD7F>$=f!*p2
zxIUr7nHfIU<nbE}$Y_db33p}`IhllwB(xgFYu3!Kv-j=~p;jS=aDGq_STSD{1_x=t
zK>9A(UV`x342~yF5S4=4YyCo#<3A&qF3wQDH%E^psCxh<l43G>VJ(n`1n(^mMck~X
zB5G8*rAFsgYN$ik<-|-~;fg?iLxEvvu94Wlo;r*0`x1<KB7**(pkHpF+3p}T5xK8J
zdjk5hL3pHq$R<oh3frh~mXdE4i47aFR~3@9Lo1!OM~l?>?ayREta8M@Rn!ZEXQkb2
zNr~ogK~|mq;1P5jDNvofhL+=*tW)el$Tc_E)W(B2swGM#((x8CRSp&h3OJ!u0w<T-
zB=wo#ty8Nx;vTd09mOlAr5DkR`dX=%K{v}YA}ke*kia3xlsJAL#A;eB)S|^@lK_P+
z{nmke?c!3sYd~+|%i|>MJu~xxorDUxkt(zY*)HsJV^{eJE?KR)7?;6V^9gZIGJ#mC
zD^ZUuhP1Ll%3mEMz`2k1Dlv!gyPu9DzY60b0~Af~p6e?YOreiz={n*hzGL2#^Nmd%
zbX~FQA_NAy>xN`{$6<*lgc|5^5pNL@mP*9Vfzx$PQ3o9KK87WrNIj9ak-B^OVP+<S
zATvF%^VjXk3sZf?SF@&y+d;Qws)dq6WH{x#_fpYfU+{>k{_|l>1}YBJ2jz&Y8UH-S
z*LouYJiCxMHh#mwq{j*lQcySypgx^JiD*E?9=?hs_RVD7%BPJ(sArOPABM|{Qn`gn
z^Zpf8vVv+6@2Q0qqVsy%`^Uk)!2`~IG~;h^jwvYeJxAJkmJ1db)dBEqpv>q}*<|?M
z5pNY9=w0+HM!-7G{UmblDz-dgw$?FmjfX>lY2X-=@wxE^9FScI2Cz8dmxx<As1uGP
z@<$U<s9y%0W_rs?$T#ljQ~&_77%<*?XgICjM|;5t{n<4*tSd=6;uhk!RZ=x{@SOT6
z)|6*y(EDkdK(caoCEzdaWK^TN3YujnWdz>-rF#ZW<s&bRPK^$s6x&8|pVF~N?M9YO
z%$njJL9M(&fHy=wYP6!A+N8%+(Nacs3V5?=OBQ*xvuayuL}=ri!?4B0IjvRmH+V2W
zUHkX4^|ZCMT_+IbCQ4-JW&6dwvDxnX{2d}-G29@uTMIygEIDN99nj)KdtmYSDY;8D
zwNRCnBh$zvdK}v@1FbPfbDj;xqMZShD}-w5*v@wsGQJF~Q0LY!IPxu(B*B|*x4OSl
zy>Iyj+7K+{ssly7Y?2#bX~#DD)$MeBl>7s!>O*y&ekd?1cwv}7n&|B9ECyB}EI_**
zVc-~lID{(iHm!|s4@D-YCaZ}I17rn5A|oRgy=UZ$z9`j+=pNPD_R^3*tco^Ne0HIg
z64{Sj%*=1CiG0FuYV<m<uiI*~)TesJjFk_j3UXQHv(J3dVxOMBQvCPETVub^zx`;|
zv_;dddQAT{N!UT^F-vgOw)xvX?-Sa4eZemurgm(}|E+QMwJ@!HgA-@OtiD;x-dU!i
z;Hk=c(!aFY%qHAbw8C#3?G}&L020Mx)+auF`YRIb?rYbsq3i8hLlSHLRjA{!NSxw(
z|N3oDm{Rn<NOcaE>*uGNZfCko*<H4-;c4;pwYT9hP^g|V_3ffRMI`Qq$lHr=*<u6@
zCRuUL+rgh$g2$JjDOm@FK&OvyHgbvv&!6PPm}Dl?B_YmdDy?Ew|9<&$6_kk;=H}+z
zH7PqLCntk0Us)`t&a?ohy1BWLzoxSxJAIa);PJ>CH-3n`dskdmRtJmsM4Bk7J!t4E
z2g{Qgz^@!gKsb+uSeda!+*eTV_I6?1styz_Z8W=gU!IboJkys|uWoG}lRG(TLoemT
zi4*EOcWN0K1s4UZkA3-4Yofqs{5;(L5~8A_*|!CMQbSeouFB-_A?KcYLu~L`<a7*<
znwi4F&W-cG`R1FKXxL$Ma&vP>N7}=6QR>m(G3_n3irgH5@sp5~(_Oi8<*^0RPTv3h
z_isvrWOg8a9yDCBVlKvp#Y!jYV1wHm1*n%r^Y5+#i0lynDmnrJ0!BIRslRO9Dzb24
z6hwtCH2%4x@;Ly@Q_XeAp&5?>{VFp~96I~kZ%6Rkf%*mpQWd{{TlI#Rd`2kN;?B{b
zgz)rYgD)OX@5*YF5fESDH_BKT2IwW4b(hD%BRK$f#ch<ay6}B>_?etPz5O|Rm4Mx)
z_yG{0It6U<#kMdUlTuMJgB6IoaXW1>;uHr$T&BWOGFMms6K$Dd=+x0{=Y<Ed{nu)5
zM}binMZT8qZd=D+SVG;;7Mknq-1$4$#y!You`uYz7^d7EA0KyEW_9ruSd7W_?~l)&
z4@b6dU7^9P7BK9f+Czs9t>yp_>cKN9vrNJ`E$)u7;%UK8CWVEC?w}rWhn~-F9}Rb%
zi8p}tf0s6ANjQrwV5`w8C3pD6x2xBzQRlk!HpZh9ynV~_<aINBPp;U@nz~<6N-EJ~
zaeG%+EG{I$X8(HNz=2Lcva~C+1b^}r*SQygMBfo;?tP-{qu(7AUH5V;(3P_85SPnk
zH;g_L^|jjKJ)ZIS$rBM#(Zu=yY1COC!g&@8&Gjf6;A3>6xwEtdkDo<bcP!Qv?UUBe
zpT1fn;CfzO-qJaGic@-i75LV-yT@7TFMv@h%WU!ZKid29uo~C)?WdF>8!x-4c4D*A
zl0;=_lsT)SSsKMEjnW{^NjA1Dv6o6H87h@#ny0lltyD-UrFoDvOOqnL^Iq)t_x=4H
zzdyfqY{${AH9gOB-`91X=XGA!Gm(tj``p3cg|!L_2H=1O7}_$7Zi!UkrAy<X$rI-_
z29{jMX*>D(<B|22`9@q(bxZ~`<=Q0A7~b6}Xi_HF&cAl;+P+tJ&w>S?X0RRWlH#!H
zV556J)i#5RjE0Ua0dN<SrRs^kX8hZMjBoVUs;_;syxCw*y7T7Eb61jp_c8%--qSe6
ztZwK~P}9+6)>O71a<&vh<Lk$>*)A<I498b@&fMJOaL>KFf{~vkdC0;d3a5KLlZA%w
zB;d%s*Ebw~1KjyIaK<+-Hujn5ecW}z9+V^7a#2v*3Di7=7A?9izt=d)2&(^O@-$qt
zimEDI05fB2YwLLV#fukD!;o5=V!ri7j7D4hJ4&bm@`SL6h!m5BCZoF~BYzg&;p>|Z
zTS^KX(c8JA`)?@h!PfI~J4y*AqV`HI7VLM)=xJ>jQVMFiPtE15M+)BymA@ABFdp_n
zvMAq9G!^;fpqqblX=$kg8cW4DJBHDEks5t5;U~*?+)<1<hFq5jzMWbqKux|S1I6}7
zDe2dwl;$f2+T2jE4I!f~5{Jk8>qR6alF`uM(E0SDxRUFg%29s$AtZET9UT@r*JH6(
zx*c@jzRj{JU!p$s?wZ-7WBd7}1=_U&0|WEjy3QYEGV2O`JPNufmn-}$DWU-%z$r7t
zzpQ{Sr>3T--#31TcgV3hH-qH9J`issZ|~ekML3j@D_2a=rv~<<X7Y57UQon_!>LG|
zAAstGgoF%`hiYMfkewk>7z5`kMek$JCTfMtY>5@ryIOI5LmJWo84F|xUOKwzJ&KO?
z$b}C$ob6IHny~9mD%I#`Xa%G)#&R7Xq4gkFz`B4XwhaOEz2&9TH7PGNU`mv$%-rPj
z>7C9X+8Xj@D{D~N5R%<M)%(CoHHO&m0pGk9c;oi*5nVQ5|6Q#1KGdOwzf+6CGuC;#
zy1L#j6A%<+u;mUHTdcf6HApkn+Yxb^q6Fv?2&3sOI2alOhwx%F63z)m#q_xtx5+C7
zUn$BvLcz9TA3Ib+ncX8V7NE%G|0scoVmQ)Sy7|<=p=gcMt^clxQ(}i3rt(x{swWX>
zZ!~I0$gb^u<9h@#(qofj?Y;<G2UwnbBo#4tK#VCYE^Zc7PBnDExmnGY(mvT;A(CZZ
zy%UXUnIr~>G%Tm6;NW1A^~hd@53~GrBw~P4S*zUr$jA)8jnw4z*K)UOQjP{98_j=B
zxtgGUcJE;Fp}RPeUf|4X_!f){y+@qCtdW*>f)UNE;8Y4rzVGd$2bW&+)9uA7g9T>K
z?nB^qY%4DMIx{1(WXUQGjS`D8ab|<)+(i;w`1q^~fImKf*@fri<N(+ukSQqj-^itf
z#vK+B5&!*b)%RL7Ttt^4g+9P)AaN|@^5yj(K2SrmF0AgEvxFtDrLFC8M4TF`$dt`;
zertd_Au>UCMYthWS#7eZV)%x`R$S2;3`lE4iGwUF$T8)avg&B%H7f}$Y8l~cwp)1N
z$yBYbRi!vr)HI^BYT1u)TmW4q;Xt&CmX;Qq<~iJIiEM6wWF4(I1=ZyNR0n&s+neRO
z-j%I1xVS_L_mbPD4xIMVgIEa~Gnf|;`PY-1wPjl@3i^8S;>GfDZ|Jj@VFEz~1+E>z
z$U7gJ2i851(ohI2^+CgEmj9HypnyQGEU<??h7Jy!O-QS#OmB<lYhEF^opL#XJvI$V
zJs~zWwjl5?^9U&o4UGU~Uc@V}?6R`5bqLYyO-KF_*zDYpzH&9{Ccni#ctGxwcN35w
zMz`zEU&!dVkdP1qw4r%K+x|jv&IV%}=eWIlws?V<!tToJ8>-y2il21oVTZxf;$4@Z
z|D<#tQlKh4CM;4zu$YyL`a=>nSj6UFKFa$Ql2`jFko)@|KG>66D&$q3*uFi8<Zt+`
z5{{OJY>^gl)i6%8QZHk2MN7-d3O16V1noXNs9~Nlk5q5<(s@ghQfok$%yBOuh4%Q+
z6&geS0bkyq&dF)J)Kn#?HaC)QE@u#}6Z=(94ZK3)2#<<N#x+VbN;EiC2HYa|5inci
znGeFmAiwg4py2NAZmHfkhJ3ILn>G%YM)&Yb3LvBBUdGk6M;+EI-TI7yfkD(DxQ8*$
zZ}fLHj9v%;;E=J*e|#|2!l&NyEarfAbhs)By(@_B76|%hEi>_|>UF^>byfdIPv=VR
zR^$JLv);KS-xzD67O3mwmw<}{fqdRbXd)saabaP?DHeGKRcfQGb@%xp-f|@bDKU35
znLng<2Yo#<8$r~v&|5#tvCd%UPHfF!>}on$&EtJ_*W}k!{<59X*PQnV;VC{Lfexrt
zj(kHNxf;hvkU>o{?CRA!h=Ipj3zc=}e>#8Rf)hHtFgfMc{2v2Q^t@ZX>>8z9WBgJ3
zQQ+F6OUkG9@<W_CcI@ZRpMzQG>a~zvxpF(;QynIqDr7<Sv4Uf@9>q{+t=XJt+}}hK
zazk}@<@Hgu_el6J-8g5@YX<Q($l+zks0W>$lW%T4G2~ozNI<PXGYIq8QUF?g{QUZ{
ze^W!@z7^VcpzZs@3%l?ibm;O=9(+M_bX`i;y`urd0gWQR5Ad_*EL5cU8itTU*t8QT
zhSjbx$OaTycQARo0*WqvHUk4US~m1Nx1?M(K7L=K_9uz7mQ$a)r5Ku_66K?j0R9Yi
z@Y%ETSE2tboq?rD>qR+#i!@)mLrqN$jj<;reL26R+E?>MoKwI>uOTmI9W50a|4`kP
zI<vmA207S<MRZ2XtI+v#wXo@Nabz&f&Hy3E7%x#&mvVjoTr8ZfzpAb0MZd}uO3j4Z
zcn`ooLwR1iFBVwC5Tu?O1nhCx5c<#{c};wabEMOE6dxVI`4qSbXe>^hhmH}8PSl8A
zRfMk_M-#Lm(X!*25w^XkqP?6{zAT?SDJblYD^Zn=^ggJiqx0Nz;PP)<g#qyZ%F0DO
z>f5$bx=+`vq?&iayehnWc}h?aMW*%k!Mp|3xRS{_HPoC)mPd20K2joSoTo7?^G{Y|
zXqWQ=nCymfP?&Rs>lzYBO@MNYJa_8D3bM{$U-?BWj@8sO1ehwud<-Kx#F*YdO@U@{
z5|BDNOD{Rrr$*!bed;&3Rb~=Q2xOV)J<=(sg<WkyFl5N3ORw?%C%d={_UzsbxP?1V
z9LDv0J~`#>NYR@Ww#=PYmoZL?g}FK5G+NbvU#yp_hnTX(rL`~-vatyf{zgJeVq#*z
zUlIr!+_r6-+yQ*R09*cx-EeDBl4U`5iyM`D2ry<e%huGfDH|Dy^u=P#TSS)<ljR=}
zAR;Uri}PHtN~S#mi^f%z!C-`3yr>U=xMax^l5<eACj_peql4`Jmc<Brm!Mqj<%$w?
znq&|cf)8n6-QwT=4PTJA3C~r4F4Gt|9-!5M6GF`kaAvYA8>$~dew0Dhyv?;J3A6;2
zx<<n)O5*TZcqzRG9^}99<o63t?n3%{=QADX?_aoc=gxPoN?|u|nsG?XT?dlc?fqQz
ziI+x@PR;ArBDlIRg7*V2X&pH51}bX8ojWV-VhFtjqqDNIlEK9P%MN^g8+DfkndjE~
zEpC1SpfLJzX5q>-g0?WCKzYTymm85FbObrjMf$M%^pL(zPLDZ=Y_Mvs)8{kCSJR`%
zJ$Rs95pW&{NsqdB|NdYob>~00N62}!B@P!l{6|zY0n}WKnK^cu#j1sq44g>Lp`0y6
z$iTxc{_K0y+&g*|xlhVMIe<I2VFznk&KGn`6?Y%FckdpJ0nk|oWBolK;qnewo2It1
zGEHpVI`FQ??%i5oMeSq}xR+g7QI$P|_yfMbJC%8&Irr}8&)%28!?~h$SXV1ok(#$F
z6MlXSdr9hhlkyPl{Z?2ZUdvx++G=CFYJ*Fh+_95W#Ct<bqN}VqW*Whp+Y|E;{U?*F
z5h+|(qmWuP5-GoTWMo86XBKC9ie<q;t|;yTq@-J_!SF>h42>auAd3FXKFAzL$LV%A
zYf#mgANXZ@8k}Q?Z+E!Kkcli3*P2jC^_yK818*kyKej9Te2S$d;=KDvUdtHKba!_@
zW5eGphE*cB6=6{4yTszfzcX3rR|qgpJ|th}#uWvKmZ8)4-MxF)D}eZfg%5ar11I*X
z$Q8R9bF>u>rZpEmpN?4bz69z2?~Pf#Y88zEVb1_LZ17Jk&E{v(8tW)dG?rijM0gSb
z9p7f!-sa-U?=Tpu{DrzL^JUPD;+(_9&B6^qoa<+k6&<8X7CZtFMBrzJ-*HiUhfjYm
zV98@k9p`&6tNBXCr$--nb0(;u7bLQvuWlbPG{%9NnzFHcZCKUNyQ6iNLF77t>v8Mo
z(W4;UDQH$r0+v6uXO8pVzih{6A?qjnasE6nJOY5DAd-aHk2`QnJ1@yLm~-I^TDND<
zo?e1wkq>NH)tKr*|JHHlDPHbki#Q5ASO;k636vWb7uVg`CVC$h=R7(<F3#5x(+CnU
zuo1iScX{u9%lz2>x41@N;loZomvaR5prFTB1lLg`*2(R%LlIKU=a!fLAg@)cN8msM
z!-}<Q*6i)=?Y$8SY>ns!I<F09Q~KK9tu>(7ID27I>}H^Fz`K_P9#UFiddN2tp#^D1
zu860>p#<7+URdV2?;(5^`5hU^2+cM?XnJSPoH?aA%UP3fZbE8%LM_sYr;{)`BOZ~f
zaXInJP}G&}<nKu)X{n(9iCC>S)%{4U!y`A3#KM}Casi*{4zG@X1oz)oGi8tAtS>vX
zg|nO&VIW?C<k|yE_~MqCP@3>M&I@IUg^1^v`dXK2sjAED?CJtW|3{_Mdu2<2+j@#_
z4V8yYJAL}J-&yiORQnlTmPPiUG3G3ie5{PbMNzupZ1yUQs+-9EH|x1zA7sjEL$%0J
z6(Ubr1OOq&FvxT79$3KNaOck!KB^tvZZ+hlY!2|Jif^<I!UB3~$!q*3#kKP60Du=H
zjmrNfI#^S6xT2fERj}DzF7Mw?HOO^U`lGj`vC!uc5ECKd*w)(Ms9ww4Fm&VRiQg-B
zE70Z{-L|>))Yb@Fgc*B81IL#9@qntixr)5&*K^$`P?U*?>l^bc@pQOKFDx52|NA+j
z5gPXEP(WCw4rz6At%#oY$GID+98M9rrj)X>`@26$s!6gc%4f+>qppBc$o`pXjB$w(
zyYqggn)H^z!|%zfTpu9O*)&N?NJMqX<MvmpIpnw4b#uN1EUG5g1`k&!qB-#%i@4%J
zydUno0(Y)QetPUT=>j<d$=xZ>MZum`jiq7{`JZ&c5aiH4V9qctaaC*_7ChXF7jn+7
zRaQ3D*Vn&^DUlJuF}9`(TpNdLVR6g7|C0{fecesTB}K)WrEg|t7JrJVlj_ww6juHH
zr3d-^kNy$1L{uPhA2^P+HO6Bkk>0Ix(fgR4zZ1e*J-{N)oeY!Z_$E0~NJM5I8{y=5
zF+V4ZKy_OL_wd1%?5IZaek)aRFNIgwR|pWOSKWuY(hJ&m5Thrg81nM+Z15V|i%9uh
z2yodiV>Hs>+xviK@N`8L>-m7X<U|DRi~|}Vj&p#`)CIp`#Pq~)TN>E4?U%4upeJ?t
zo=(7J1Pd9sx~4DB;A=|%F|CZE8+CSe0@<OL{!?uUq5@fbOMd-zGsZ&mADEN70t<pX
z?&vXebi!yLEG=)}4-O9c2Oy}*GQrpA46|Z?9})!@;dGOSUV`vicPH($pxP=;E~f*~
zbt%i#x-Pe#q2kuL``>5Efrf;4#jrN;w(Yb1T=76MBq-ZBL2pNCh{!b>W@zb}awSww
z?qlP0_67eD<aZYtCQi1pVw^Xzpm{$gzS9__Qy^Q6NvJKO2IN?AT$jP9#?&1t1^~32
z*1X(B@lBL#BA8ggYV!T)??3|xbM6ILcm)eZ)L>fSrx0S!CejL)IPSw$00og~GJ~x}
z=3G(W;3wR7LF%m1Fk-^OG5#5)?spIfC+tbbE5Z(r&n8ZgKD^^q`8BUaf&0Y8lK@I9
z>g((4{^Bzq!9F1mx)D(=!GA1E0@V$nqD07=-b0bG53@4e<u)7TpL9TYU#p^WvvY;y
zzURpH23~>6Z7)UdBf~F?Cu^p?oGb*)*9l)|B3H@U-o9fe!lAaZ1n#)7g-c(*{>3>5
z-e-OEcjo8k#QjSi@jFR6-jVk=N=+1;g8Ud{jx;tHpz%O{FY3X0!##q{V*mXU_=f_Q
zo>NmAeap{g>_tj+R@ulM!q3RVRU5^F3eU+_#I}A6#bmpPOe7slNy5BO+&c^Awmy`(
z5&F2IP`&9&N)1wZd|pqGr^rL^L-L`Fog0eA*Z^^x-QVp45T<Y3xX~~M80y7sb#qcu
zKzc(4O@yblAxt#=e-@a8nztTK?!muS?Rk9U$!uUA>H2S&RQJg2vHji0k2gUTOho#X
z(-O*^a{=*{_xRL>@ht}p4A>C50_!_tXbAM?=!35Z$l2`Dth9_K&^-UYYdF~~ON$%n
zKe*&8<bEwSM0iWR3@T?2AJ6AR3Co~%Up^Vhda?T@8fHp<YJcQ|=tj_Yc)Qm}@)2h7
zG7J#B=dWDc-pV8QybTLdi4(ITVC=7jl4{=d-;h9R(L99Xg_pVG=UV4|YoTz|AfI)(
zet-flG=Ki<wr>+#A%$(zE<vr#9+IVFYhj+8RUw_p!U!_QT}L@qU?!DAKfWe4B@gXm
z0d8%TmmMR&7YV@-v=AQyfiDT7>a$E)+puj!O~R)%i2ar>`0ojzuQ$!yjeB*RKM=ER
z(7BR6x7BKBu8>d-gs!?c?Pb^P1e*E&eXc!8r#MIw6(?}FFMnYrFks|YL#UjPP(fNx
z+`7g;f&I%nCdzvw^sXO2s)_!57X)UJ4AmdM+<u_2u+UxY7)$?$-gfTSpHFJfZpf!T
z&-^@*R1VNTgpoV1m=L{r56;;i+6n%r{cmppp2v{NO#uS$0crTTiG-vjc{d)UD3{8P
zXHy+}m@Hrri^$pZD1>O<`!v4+p#Z=a_Wi$h%&j2a->{EZ{40O_*#7sw-{pVjmz-J1
z#hwaWa6$y5x69|?V+8;BfBv-GGuS3F(7=er$tcNa?bPSb38)VGLeSl0TOkaUMZPS9
z6c*8t6%QnuXkUF#1{EAQ9Nb_+(ac90QMYq^9e){c7v_=F8L0Pz&HI&9#mey0dPYcS
z=s{GQgrT8B*6Ia3tb+udhP<WIRs8*%A3+K)0|9y7fGM4X=Sbp_5iD<9(IQM5WyiwJ
zn}GJCB(tofkfrN+p#xQ`H&AvyeO0#U8LiUrvZ_bvApG|2R3iRkYzN9ndeDT8O9BG|
zVBiDmdpV*8JW3>20u(Wc1c5}awYBxr<fI7{WB|*J%QXVk>SevYsUxa<CrY1jk*_D>
zw+^^@9YNVZlD6U)1hfrtC;<nJ3Y{@j)6Lc#3Of3`Ud7Ka9oH85c@aSqe+)-~h?G<a
z8DA!6@$5CwTF|9KxLoP`-Q6?CQ429+yU)NIG;Aa0H`uuOA!OFP(D@4&W`iNz81&QB
z)KvYlM^n>IxfS_Yn~f~pZ;{pk&$rucY1N#=PjJ3unL62~V6rYyTI;lQb#utD^{&lX
zC)!%IV9}o_LILY2BNKebX}wip!>7^F$_WWj-Z$v*jPCdBK8D=;(qpi#qz#&cWvI^z
zzXADv>;<ox0r%;yo*p~AN~ugX=es(I<T9q2HrYLE4;L4Xqoe3hgsth}fbsC|uC8mx
zO8|2Y;WAf@%pm!kAjPTr=McVfw!rmO6|(`ryM(uOtgnrYot(jlrCN-up^*%HbK{X<
zR7kRzWeeA%D6o1j>lNvQ9Q=%WlOxD6I~E6J53RJZIG`Z#>xkwLMFctJA#fF<M_6U*
zI%#NKuL$rwckWy-E|&oW3fN)hkg6E3wc;|0M4-E`p#0U|-8Bd1y?sOvMbH#kx^xX=
z8VxI(&@o}r<^*Yk$nqFV{(Au6KX}e197HnKSY>^^iGzcKFFa&0q~)~*SOSI_o;>*&
z=l3Bxunv%S1gaTBAy}J@LPk89>(i70Ar+;X8YH|_v~V~=8zWLT3M;=YSh3B55FjiF
zOhr#T95^LaF99rm5L*1Z;o&sMY);U>31!3md~8|zU_+}`uO?Na@!r>(U{SBY^2yo8
zLU{=NkR6M4>OgK1Qd~wPFG<N%Y^{pQN^O`@-r$tuPTxyQx!gXO6^y`b!=Zwbp7F}$
zT@+>gYr(p!SfGoNU<X#Q(?OB^Z9YnQ*)xcK$?)GDb2KmZ&+~8wP)vpuz(x#H6i?d4
zNUHnVC=d0C1+kOKfYBR8*Kgi*#Dy?rC*y3Gp`QK*-~LgQ^xC!M%1_creXiJq>&7^U
zGm!$eY}-3}<@DDlZ|%_Bl4oUpz$J!{Ud}_`+b{t!2Xxqpk%@}F6VixHuLorJei(a{
zi>vT8lVMdbV<(fYrzYvHVFnwF;wUzxO|K$$wOtG<nx>F{asbyd$NGWWq{?LsV)teD
zVAR(iQssyMIY79XFFY_ccpaVojBP{4+m$)ZqNvm#P=wS2`bh(e6eC>5xCV1FjG*c{
ze^HTGNW=%jCd^%>F%V4%$@KU4&tyS*j6q3Rig9V#hBwfQhI*vl-GUN_o<TVjtaS#l
z1IZ$yF-%e|^uhDSh$-c5=rCqv(i~t&fTn1WIy?yvEK%uA8=-k5wzpd|44j<@)GaFq
z@%MY=h#fXSx&mFNGp1o89z!s+>otUJ0Sa=D_Yk6WFB%WRXv7*3VcUJv7EV|hd}PD~
zwtvf%ioCo&j0IsaF^3}pVKlpX(&<<yPORec0*o^rZ7U$6BNoxiExT~wL}6#tK>o~3
z9z+VXAeBriXaQ7^IIIk<eB*?55Swn7#lz46{?8r*Jb#F@uRJk`)8X+P(Q8QkW57pr
zZYQD^@>UX6urs5c@JqSNhP1Q}qe`e;Y=VN35x9o)6<%3RhM@w#6>d1nYZ2?pXu4$M
z<CBJZOFy37SaP}q<b}+`Ql9TAR_5M`4MRMSO-uq~5ILk6DBjkSaZ1Nanl#!}N4Za*
zDqTuN{;V8V0nL(PXn_g9=;J;J-9X4{aRIJ6rS>P{Z?As~h@<~yb^p)l9(Hem6}uZJ
zC%PafSJr=NK0(UxBatN~r;EQpr;sWOgiKknS$psA3OOF{j9rF3{r*;bFiAYw1Uiu$
z;-osg2L(++;&>}Lf8M-uH|b-&Z|uB~LHxe?cXf6~rJW59c7NehfPrG~^AIoTqC7_H
zd^IxigMW0)(GVIba8Bj>PkqXpNYT5yGrMcxYRl>eViF5Ai@!k0X?g9}5_r4$<zFTx
z(!<ylgy7rlm~_FGJf*AbQstiJ^Xrl&pO(m9DzpMgp)2v;UnrybnE&5J<h!BO7P;~u
zgw0LZI_j8QlcazDJc!w#MZFv79FeVQEuITF!6*H8e1zY+!gKJSCY1aW@2rCGss?Ed
zG2|>%^PYaJtLE{)>Y7@<9qI*?yy?`|w4&s>!%R_>&GXsXy1G?aD{iSZ-$Lc54}v&5
zmQ+)>I_F($QQWE+hM{0n`4)NZ!V~zKyLlEE&TOcc?!{Kf>BU@N?UpIg9uP8*!2-m-
zo_;K@_x%A1TQ29icI-@@0cMU&8|{pMbwE4cIPyi}XK7n2zp4XbzdhJT+(pNAK#V_K
z`mut=H`%v07kQz_23W@NcG=Rk2D?$AkD!s1mv_tc6ukev5`Z?h{B4sDrreA*7c7q2
zlD<zzrxv{Ylc!ZP8*H9I0%hnU*=yIXZT1?nFyU6{lM4PvHOwG1U!gghqNa8cYQUL|
zQVww;(RzWD;Z?Z;#s0?eHe|)<Z2>BV=0-*^Dqt7-!es}oh;7@9_#6)^r^Uv$XAi&F
zs}RD%)R|hm{E-BxtiFwnP3mukEA5a=!LX)Kv5o2Wh6f6X;?dWZrqZ^y!$47Cy!k<-
z1Ii;n?JEL+=h8d4YDGMF+CY<$(L#e#Sgg4d2XsdlrM_C6s4S1311X?kxW{oQai9QU
z*@-u0Ff~bWmrXQhl5YV9YO#wR<Mi#>yO*HJniNePh|n>^{;2O6A$rglu!YosOA|T<
z_C=&py+en{eFWpv)6?5V<<-)OUx18^Wv^PbYOD>n(1DNQ^62RCH_10}J{|zJHAIcI
zp;!r*;2RzGCWr+@Mnn%#HTkL#&5#89;WpI=5E+9(wV$Z4FD~LJNv(&XvfY#<rU^>R
zIdK@B4tj)CAu)}r1p-|FFV&IUjrw{brUaQz3(T3*k9H(Ohz+CBRnWGG`MS0^z)wm_
z%Hf|s<`LX7ntT2F^>65U>%|};qKFn(eZTV%rXj4B_-D`dfy7%PA=iPrDUOrd<kg}`
zXi-1+WE>6@C)Ai{NAVsx3K^kEdEG|UIIVE^BPtYi^;e#F)9?%y8lnI}x~ePiIzeoG
zMEtmN<q86MGL#^zn84{oGF#d<IV~-1=>{ue=SoCU6<WA30#D=T=O@Ysfj{Wq(*xQa
zR&E1_yo(Ey0Kh<=20H-}1hbq>Qc%K#XfnOr<O<A2zzIoEj_^rQxD4<mkVX()v}$C5
zeGP=(U?9fAD6tC9`!9vav|)%~1EH*^k1a!Lxu`7M9{-(>a{ZNibleJ;0S^vSe%4O{
u`qBD-l)Jq@$usr;f5|&di~jdc$oEB!rBrG4Z@ihi6l2eU-KjgRgZ~eAJ36oc

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_sources/API.rst.txt b/docs/0.10.5/html/_sources/API.rst.txt
new file mode 100644
index 000000000..fdbf2242b
--- /dev/null
+++ b/docs/0.10.5/html/_sources/API.rst.txt
@@ -0,0 +1,16 @@
+.. _API:
+
+API
+***
+
+The API is split into 4 main components: Profilers, Labelers, Data Readers, and
+Validators.
+
+.. toctree::
+   :maxdepth: 1
+   :caption: Contents:
+   
+   dataprofiler.data_readers
+   dataprofiler.profilers
+   dataprofiler.labelers
+   dataprofiler.validators
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/add_new_model_to_data_labeler.nblink.txt b/docs/0.10.5/html/_sources/add_new_model_to_data_labeler.nblink.txt
new file mode 100644
index 000000000..130e413fc
--- /dev/null
+++ b/docs/0.10.5/html/_sources/add_new_model_to_data_labeler.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/add_new_model_to_data_labeler.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/column_name_labeler_example.nblink.txt b/docs/0.10.5/html/_sources/column_name_labeler_example.nblink.txt
new file mode 100644
index 000000000..6f95cf7cb
--- /dev/null
+++ b/docs/0.10.5/html/_sources/column_name_labeler_example.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/column_name_labeler.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/data_labeling.rst.txt b/docs/0.10.5/html/_sources/data_labeling.rst.txt
new file mode 100644
index 000000000..db76fe791
--- /dev/null
+++ b/docs/0.10.5/html/_sources/data_labeling.rst.txt
@@ -0,0 +1,365 @@
+.. _data_labeling:
+
+Labeler (Sensitive Data)
+************************
+
+In this library, the term *data labeling* refers to entity recognition.
+
+Builtin to the data profiler is a classifier which evaluates the complex data types of the dataset.
+For structured data, it determines the complex data type of each column. When
+running the data profile, it uses the default data labeling model builtin to the
+library. However, the data labeler allows users to train their own data labeler
+as well.
+
+*Data Labels* are determined per cell for structured data (column/row when 
+the *profiler* is used) or at the character level for unstructured data. This
+is a list of the default labels.
+
+* UNKNOWN
+* ADDRESS
+* BAN (bank account number, 10-18 digits)
+* CREDIT_CARD
+* EMAIL_ADDRESS
+* UUID 
+* HASH_OR_KEY (md5, sha1, sha256, random hash, etc.)
+* IPV4
+* IPV6
+* MAC_ADDRESS
+* PERSON
+* PHONE_NUMBER
+* SSN
+* URL
+* US_STATE
+* DRIVERS_LICENSE
+* DATE
+* TIME
+* DATETIME
+* INTEGER
+* FLOAT
+* QUANTITY
+* ORDINAL
+
+
+Identify Entities in Structured Data
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Makes predictions and identifying labels:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    # load data and data labeler
+    data = dp.Data("your_data.csv")
+    data_labeler = dp.DataLabeler(labeler_type='structured')
+
+    # make predictions and get labels per cell
+    predictions = data_labeler.predict(data)
+
+Identify Entities in Unstructured Data
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Predict which class characters belong to in unstructured text:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    data_labeler = dp.DataLabeler(labeler_type='unstructured')
+
+    # Example sample string, must be in an array (multiple arrays can be passed)
+    sample = ["Help\tJohn Macklemore\tneeds\tfood.\tPlease\tCall\t555-301-1234."
+              "\tHis\tssn\tis\tnot\t334-97-1234. I'm a BAN: 000043219499392912.\n"]
+
+    # Prediction what class each character belongs to
+    model_predictions = data_labeler.predict(
+        sample, predict_options=dict(show_confidences=True))
+
+    # Predictions / confidences are at the character level
+    final_results = model_predictions["pred"]
+    final_confidences = model_predictions["conf"]
+
+It's also possible to change output formats, output similar to a **SpaCy** format:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    data_labeler = dp.DataLabeler(labeler_type='unstructured', trainable=True)
+
+    # Example sample string, must be in an array (multiple arrays can be passed)
+    sample = ["Help\tJohn Macklemore\tneeds\tfood.\tPlease\tCall\t555-301-1234."
+              "\tHis\tssn\tis\tnot\t334-97-1234. I'm a BAN: 000043219499392912.\n"]
+
+    # Set the output to the NER format (start position, end position, label)
+    data_labeler.set_params(
+        { 'postprocessor': { 'output_format':'ner', 'use_word_level_argmax':True } } 
+    )
+
+    results = data_labeler.predict(sample)
+
+    print(results)
+
+Train a New Data Labeler
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+Mechanism for training your own data labeler on their own set of structured data
+(tabular):
+
+.. code-block:: python
+    
+    import dataprofiler as dp
+
+    # Will need one column with a default label of UNKNOWN
+    data = dp.Data("your_file.csv")
+
+    data_labeler = dp.train_structured_labeler(
+        data=data,
+        save_dirpath="/path/to/save/labeler",
+        epochs=2
+    )
+
+    data_labeler.save_to_disk("my/save/path") # Saves the data labeler for reuse
+
+Load an Existing Data Labeler
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Mechanism for loading an existing data_labeler:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    data_labeler = dp.DataLabeler(
+        labeler_type='structured', dirpath="/path/to/my/labeler")
+
+    # get information about the parameters/inputs/output formats for the DataLabeler
+    data_labeler.help()
+
+Extending a Data Labeler with Transfer Learning
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Extending or changing labels of a data labeler w/ transfer learning:
+Note: By default, **a labeler loaded will not be trainable**. In order to load a 
+trainable DataLabeler, the user must set `trainable=True` or load a labeler 
+using the `TrainableDataLabeler` class.
+
+The following illustrates how to change the labels:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    labels = ['label1', 'label2', ...]  # new label set can also be an encoding dict
+    data = dp.Data("your_file.csv")  # contains data with new labels
+
+    # load default structured Data Labeler w/ trainable set to True
+    data_labeler = dp.DataLabeler(labeler_type='structured', trainable=True)
+
+    # this will use transfer learning to retrain the data labeler on your new 
+    # dataset and labels.
+    # NOTE: data must be in an acceptable format for the preprocessor to interpret.
+    #       please refer to the preprocessor/model for the expected data format.
+    #       Currently, the DataLabeler cannot take in Tabular data, but requires 
+    #       data to be ingested with two columns [X, y] where X is the samples and 
+    #       y is the labels.
+    model_results = data_labeler.fit(x=data['samples'], y=data['labels'], 
+                                     validation_split=0.2, epochs=2, labels=labels)
+
+    # final_results, final_confidences are a list of results for each epoch
+    epoch_id = 0
+    final_results = model_results[epoch_id]["pred"]
+    final_confidences = model_results[epoch_id]["conf"]
+
+The following illustrates how to extend the labels:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    new_labels = ['label1', 'label2', ...]
+    data = dp.Data("your_file.csv")  # contains data with new labels
+
+    # load default structured Data Labeler w/ trainable set to True
+    data_labeler = dp.DataLabeler(labeler_type='structured', trainable=True)
+
+    # this will maintain current labels and model weights, but extend the model's 
+    # labels
+    for label in new_labels:
+        data_labeler.add_label(label)
+    
+    # NOTE: a user can also add a label which maps to the same index as an existing 
+    # label
+    # data_labeler.add_label(label, same_as='<label_name>')
+
+    # For a trainable model, the user must then train the model to be able to 
+    # continue using the labeler since the model's graph has likely changed
+    # NOTE: data must be in an acceptable format for the preprocessor to interpret.
+    #       please refer to the preprocessor/model for the expected data format.
+    #       Currently, the DataLabeler cannot take in Tabular data, but requires 
+    #       data to be ingested with two columns [X, y] where X is the samples and 
+    #       y is the labels.
+    model_results = data_labeler.fit(x=data['samples'], y=data['labels'], 
+                                     validation_split=0.2, epochs=2)
+
+    # final_results, final_confidences are a list of results for each epoch
+    epoch_id = 0
+    final_results = model_results[epoch_id]["pred"]
+    final_confidences = model_results[epoch_id]["conf"]
+
+
+Changing pipeline parameters:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    # load default Data Labeler
+    data_labeler = dp.DataLabeler(labeler_type='structured')
+
+    # change parameters of specific component
+    data_labeler.preprocessor.set_params({'param1': 'value1'})
+
+    # change multiple simultaneously.
+    data_labeler.set_params({
+        'preprocessor':  {'param1': 'value1'},
+        'model':         {'param2': 'value2'},
+        'postprocessor': {'param3': 'value3'}
+    })
+
+
+Build Your Own Data Labeler
+===========================
+
+The DataLabeler has 3 main components: preprocessor, model, and postprocessor. 
+To create your own DataLabeler, each one would have to be created or an 
+existing component can be reused.
+
+Given a set of the 3 components, you can construct your own DataLabeler:
+
+.. code-block:: python
+    from dataprofiler.labelers.base_data_labeler import BaseDataLabeler, \
+                                                        TrainableDataLabeler
+    from dataprofiler.labelers.character_level_cnn_model import CharacterLevelCnnModel
+    from dataprofiler.labelers.data_processing import \
+         StructCharPreprocessor, StructCharPostprocessor
+
+    # load a non-trainable data labeler
+    model = CharacterLevelCnnModel(...)
+    preprocessor = StructCharPreprocessor(...)
+    postprocessor = StructCharPostprocessor(...)
+
+    data_labeler = BaseDataLabeler.load_with_components(
+        preprocessor=preprocessor, model=model, postprocessor=postprocessor)
+
+    # check for basic compatibility between the processors and the model
+    data_labeler.check_pipeline()
+
+
+    # load trainable data labeler
+    data_labeler = TrainableDataLabeler.load_with_components(
+        preprocessor=preprocessor, model=model, postprocessor=postprocessor)
+
+    # check for basic compatibility between the processors and the model
+    data_labeler.check_pipeline()
+
+Option for swapping out specific components of an existing labeler.
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    from dataprofiler.labelers.character_level_cnn_model import \
+        CharacterLevelCnnModel
+    from dataprofiler.labelers.data_processing import \
+        StructCharPreprocessor, StructCharPostprocessor
+
+    model = CharacterLevelCnnModel(...)
+    preprocessor = StructCharPreprocessor(...)
+    postprocessor = StructCharPostprocessor(...)
+    
+    data_labeler = dp.DataLabeler(labeler_type='structured')
+    data_labeler.set_preprocessor(preprocessor)
+    data_labeler.set_model(model)
+    data_labeler.set_postprocessor(postprocessor)
+    
+    # check for basic compatibility between the processors and the model
+    data_labeler.check_pipeline()
+
+
+Model Component
+~~~~~~~~~~~~~~~
+
+In order to create your own model component for data labeling, you can utilize 
+the `BaseModel` class from `dataprofiler.labelers.base_model` and
+overriding the abstract class methods.
+
+Reviewing `CharacterLevelCnnModel` from 
+`dataprofiler.labelers.character_level_cnn_model` illustrates the functions 
+which need an override. 
+
+#. `__init__`: specifying default parameters and calling base `__init__`
+#. `_validate_parameters`: validating parameters given by user during setting
+#. `_need_to_reconstruct_model`: flag for when to reconstruct a model (i.e. 
+   parameters change or labels change require a model reconstruction)
+#. `_construct_model`: initial construction of the model given the parameters
+#. `_reconstruct_model`: updates model architecture for new label set while 
+   maintaining current model weights
+#. `fit`: mechanism for the model to learn given training data
+#. `predict`: mechanism for model to make predictions on data
+#. `details`: prints a summary of the model construction
+#. `save_to_disk`: saves model and model parameters to disk
+#. `load_from_disk`: loads model given a path on disk
+  
+  
+Preprocessor Component
+~~~~~~~~~~~~~~~~~~~~~~
+
+In order to create your own preprocessor component for data labeling, you can 
+utilize the `BaseDataPreprocessor` class 
+from `dataprofiler.labelers.data_processing` and override the abstract class 
+methods.
+
+Reviewing `StructCharPreprocessor` from 
+`dataprofiler.labelers.data_processing` illustrates the functions which 
+need an override.
+
+#. `__init__`: passing parameters to the base class and executing any 
+   extraneous calculations to be saved as parameters
+#. `_validate_parameters`: validating parameters given by user during
+   setting
+#. `process`: takes in the user data and converts it into an digestible, 
+   iterable format for the model
+#. `set_params` (optional): if a parameter requires processing before setting,
+   a user can override this function to assist with setting the parameter
+#. `_save_processor` (optional): if a parameter is not JSON serializable, a 
+   user can override this function to assist in saving the processor and its 
+   parameters
+#. `load_from_disk` (optional): if a parameter(s) is not JSON serializable, a 
+   user can override this function to assist in loading the processor 
+
+Postprocessor Component
+~~~~~~~~~~~~~~~~~~~~~~~
+
+The postprocessor is nearly identical to the preprocessor except it handles 
+the output of the model for processing. In order to create your own 
+postprocessor component for data  labeling, you can utilize the 
+`BaseDataPostprocessor` class from  `dataprofiler.labelers.data_processing` 
+and override the abstract class methods.
+
+Reviewing `StructCharPostprocessor` from 
+`dataprofiler.labelers.data_processing` illustrates the functions which 
+need an override.
+
+#. `__init__`: passing parameters to the base class and executing any 
+   extraneous calculations to be saved as parameters
+#. `_validate_parameters`: validating parameters given by user during
+   setting
+#. `process`: takes in the output of the model and processes for output to 
+   the user
+#. `set_params` (optional): if a parameter requires processing before setting,
+   a user can override this function to assist with setting the parameter 
+#. `_save_processor` (optional): if a parameter is not JSON serializable, a 
+   user can override this function to assist in saving the processor and its 
+   parameters
+#. `load_from_disk` (optional): if a parameter(s) is not JSON serializable, a 
+   user can override this function to assist in loading the processor 
diff --git a/docs/0.10.5/html/_sources/data_reader.nblink.txt b/docs/0.10.5/html/_sources/data_reader.nblink.txt
new file mode 100644
index 000000000..4722970da
--- /dev/null
+++ b/docs/0.10.5/html/_sources/data_reader.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/data_readers.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/data_readers.rst.txt b/docs/0.10.5/html/_sources/data_readers.rst.txt
new file mode 100644
index 000000000..4679d33a6
--- /dev/null
+++ b/docs/0.10.5/html/_sources/data_readers.rst.txt
@@ -0,0 +1,164 @@
+.. _data_readers:
+
+Data Readers
+************
+
+The `Data` class itself will identify then output one of the following `Data` class types. 
+Using the data reader is easy, just pass it through the Data object. 
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    data = dp.Data("your_file.csv")
+
+The supported file types are: 
+
+* CSV file (or any delimited file)
+* JSON object
+* Avro file
+* Parquet file
+* Graph data file
+* Text file
+* Pandas DataFrame
+* A URL that points to one of the supported file types above
+
+It's also possible to specifically call one of the data classes such as the following command:
+
+.. code-block:: python
+
+    from dataprofiler.data_readers.csv_data import CSVData
+    data = CSVData("your_file.csv", options={"delimiter": ","})
+
+Additionally any of the data classes can be loaded using a URL:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    data = dp.Data("https://you_website.com/your_file.file", options={"verify_ssl": "True"})
+
+Below are descriptions of the various `Data` classes and the available options.
+
+CSVData
+=======
+
+Data class for loading datasets of type CSV. Can be specified by passing
+in memory data or via a file path. Options pertaining the CSV may also
+be specified using the options dict parameter.
+
+`CSVData(input_file_path=None, data=None, options=None)`
+
+Possible `options`:
+
+* delimiter - Must be a string, for example `"delimiter": ","`
+* data_format - Must be a string, possible choices: "dataframe", "records"
+* selected_columns - Columns being selected from the entire dataset, must be a 
+  list `["column 1", "ssn"]`
+* sample_nrows - Reservoir sampling to sample `"n"` rows out of a total of `"M"` rows.
+  Specified for how many rows to sample, default None.
+* header - Define the header, for example
+
+  * `"header": 'auto'` for auto detection
+  * `"header": None` for no header
+  * `"header": <INT>` to specify the header row (0 based index)
+
+JSONData
+========
+
+Data class for loading datasets of type JSON. Can be specified by
+passing in memory data or via a file path. Options pertaining the JSON
+may also be specified using the options dict parameter. JSON data can be 
+accessed via the "data" property, the "metadata" property, and the 
+"data_and_metadata" property.
+
+`JSONData(input_file_path=None, data=None, options=None)`
+
+Possible `options`:
+
+* data_format - must be a string, choices: "dataframe", "records", "json", "flattened_dataframe"
+  
+  * "flattened_dataframe" is best used for JSON structure typically found in data streams that contain
+    nested lists of dictionaries and a payload. For example: `{"data": [ columns ], "response": 200}`
+* selected_keys - columns being selected from the entire dataset, must be a list `["column 1", "ssn"]`
+* payload_keys - The dictionary keys for the payload of the JSON, typically called "data"
+  or "payload". Defaults to ["data", "payload", "response"].
+
+
+AVROData
+========
+
+Data class for loading datasets of type AVRO. Can be specified by
+passing in memory data or via a file path. Options pertaining the AVRO
+may also be specified using the options dict parameter.
+
+`AVROData(input_file_path=None, data=None, options=None)`
+
+Possible `options`:
+
+* data_format - must be a string, choices: "dataframe", "records", "avro", "json", "flattened_dataframe"
+
+  * "flattened_dataframe" is best used for AVROs with a JSON structure typically found in data streams that contain
+    nested lists of dictionaries and a payload. For example: `{"data": [ columns ], "response": 200}`
+* selected_keys - columns being selected from the entire dataset, must be a list `["column 1", "ssn"]`
+
+ParquetData
+===========
+
+Data class for loading datasets of type PARQUET. Can be specified by
+passing in memory data or via a file path. Options pertaining the
+PARQUET may also be specified using the options dict parameter.
+
+`ParquetData(input_file_path=None, data=None, options=None)`
+
+Possible `options`:
+
+* data_format - must be a string, choices: "dataframe", "records", "json"
+* selected_keys - columns being selected from the entire dataset, must be a list `["column 1", "ssn"]`
+
+GraphData
+=========
+
+Data Class for loading datasets of graph data. Currently takes CSV format,
+further type formats will be supported. Can be specified by passing
+in memory data (NetworkX Graph) or via a file path. Options pertaining the CSV file may also
+be specified using the options dict parameter. Loads data from CSV into memory
+as a NetworkX Graph.
+
+`GraphData(input_file_path=None, data=None, options=None)`
+
+Possible `options`:
+
+* delimiter - must be a string, for example `"delimiter": ","`
+* data_format - must be a string, possible choices: "graph", "dataframe", "records"
+* header - Define the header, for example
+
+  * `"header": 'auto'` for auto detection
+  * `"header": None` for no header
+  * `"header": <INT>` to specify the header row (0 based index)
+
+TextData
+========
+
+Data class for loading datasets of type TEXT. Can be specified by
+passing in memory data or via a file path. Options pertaining the TEXT
+may also be specified using the options dict parameter.
+
+`TextData(input_file_path=None, data=None, options=None)`
+
+Possible `options`:
+
+* data_format: user selected format in which to return data. Currently only supports "text".
+* samples_per_line - chunks by which to read in the specified dataset
+
+
+Data Using a URL
+================
+
+Data class for loading datasets of any type using a URL. Specified by passing in 
+any valid URL that points to one of the valid data types. Options pertaining the 
+URL may also be specified using the options dict parameter.
+
+`Data(input_file_path=None, data=None, options=None)`
+
+Possible `options`:
+
+* verify_ssl: must be a boolean string, choices: "True", "False". Set to "True" by default.
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.data_readers.avro_data.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.data_readers.avro_data.rst.txt
new file mode 100644
index 000000000..d3227df29
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.data_readers.avro_data.rst.txt
@@ -0,0 +1,7 @@
+Avro Data
+=========
+
+.. automodule:: dataprofiler.data_readers.avro_data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.data_readers.base_data.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.data_readers.base_data.rst.txt
new file mode 100644
index 000000000..b82883cb9
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.data_readers.base_data.rst.txt
@@ -0,0 +1,7 @@
+Base Data
+=========
+
+.. automodule:: dataprofiler.data_readers.base_data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.data_readers.csv_data.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.data_readers.csv_data.rst.txt
new file mode 100644
index 000000000..85a625d69
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.data_readers.csv_data.rst.txt
@@ -0,0 +1,7 @@
+CSV Data
+========
+
+.. automodule:: dataprofiler.data_readers.csv_data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.data_readers.data.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.data_readers.data.rst.txt
new file mode 100644
index 000000000..813e81805
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.data_readers.data.rst.txt
@@ -0,0 +1,7 @@
+Data
+====
+
+.. automodule:: dataprofiler.data_readers.data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.data_readers.data_utils.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.data_readers.data_utils.rst.txt
new file mode 100644
index 000000000..309208b73
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.data_readers.data_utils.rst.txt
@@ -0,0 +1,7 @@
+Data Utils
+==========
+
+.. automodule:: dataprofiler.data_readers.data_utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.data_readers.filepath_or_buffer.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.data_readers.filepath_or_buffer.rst.txt
new file mode 100644
index 000000000..89e78cc2d
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.data_readers.filepath_or_buffer.rst.txt
@@ -0,0 +1,7 @@
+Filepath Or Buffer
+==================
+
+.. automodule:: dataprofiler.data_readers.filepath_or_buffer
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.data_readers.graph_data.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.data_readers.graph_data.rst.txt
new file mode 100644
index 000000000..b8b982f79
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.data_readers.graph_data.rst.txt
@@ -0,0 +1,7 @@
+Graph Data
+==========
+
+.. automodule:: dataprofiler.data_readers.graph_data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.data_readers.json_data.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.data_readers.json_data.rst.txt
new file mode 100644
index 000000000..ae0a51d13
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.data_readers.json_data.rst.txt
@@ -0,0 +1,7 @@
+JSON Data
+=========
+
+.. automodule:: dataprofiler.data_readers.json_data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.data_readers.parquet_data.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.data_readers.parquet_data.rst.txt
new file mode 100644
index 000000000..dfdcbe4bb
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.data_readers.parquet_data.rst.txt
@@ -0,0 +1,7 @@
+Parquet Data
+============
+
+.. automodule:: dataprofiler.data_readers.parquet_data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.data_readers.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.data_readers.rst.txt
new file mode 100644
index 000000000..56d68fe83
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.data_readers.rst.txt
@@ -0,0 +1,30 @@
+Data Readers
+============
+
+
+Modules
+-------
+
+.. toctree::
+   :maxdepth: 4
+
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.data_readers.avro_data
+   dataprofiler.data_readers.base_data
+   dataprofiler.data_readers.csv_data
+   dataprofiler.data_readers.data
+   dataprofiler.data_readers.data_utils
+   dataprofiler.data_readers.filepath_or_buffer
+   dataprofiler.data_readers.graph_data
+   dataprofiler.data_readers.json_data
+   dataprofiler.data_readers.parquet_data
+   dataprofiler.data_readers.structured_mixins
+   dataprofiler.data_readers.text_data
+
+.. automodule:: dataprofiler.data_readers
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/0.10.5/html/_sources/dataprofiler.data_readers.structured_mixins.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.data_readers.structured_mixins.rst.txt
new file mode 100644
index 000000000..157e03d2c
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.data_readers.structured_mixins.rst.txt
@@ -0,0 +1,7 @@
+Structured Mixins
+=================
+
+.. automodule:: dataprofiler.data_readers.structured_mixins
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.data_readers.text_data.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.data_readers.text_data.rst.txt
new file mode 100644
index 000000000..6ac6b9648
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.data_readers.text_data.rst.txt
@@ -0,0 +1,7 @@
+Text Data
+=========
+
+.. automodule:: dataprofiler.data_readers.text_data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.dp_logging.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.dp_logging.rst.txt
new file mode 100644
index 000000000..d1c6c910d
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.dp_logging.rst.txt
@@ -0,0 +1,7 @@
+Dp Logging
+==========
+
+.. automodule:: dataprofiler.dp_logging
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.labelers.base_data_labeler.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.labelers.base_data_labeler.rst.txt
new file mode 100644
index 000000000..839a74157
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.labelers.base_data_labeler.rst.txt
@@ -0,0 +1,7 @@
+Base Data Labeler
+=================
+
+.. automodule:: dataprofiler.labelers.base_data_labeler
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.labelers.base_model.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.labelers.base_model.rst.txt
new file mode 100644
index 000000000..c4bc9b08b
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.labelers.base_model.rst.txt
@@ -0,0 +1,7 @@
+Base Model
+==========
+
+.. automodule:: dataprofiler.labelers.base_model
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.labelers.char_load_tf_model.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.labelers.char_load_tf_model.rst.txt
new file mode 100644
index 000000000..7dad3aa71
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.labelers.char_load_tf_model.rst.txt
@@ -0,0 +1,7 @@
+Char Load Tf Model
+==================
+
+.. automodule:: dataprofiler.labelers.char_load_tf_model
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.labelers.character_level_cnn_model.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.labelers.character_level_cnn_model.rst.txt
new file mode 100644
index 000000000..80113a935
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.labelers.character_level_cnn_model.rst.txt
@@ -0,0 +1,7 @@
+Character Level Cnn Model
+=========================
+
+.. automodule:: dataprofiler.labelers.character_level_cnn_model
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.labelers.classification_report_utils.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.labelers.classification_report_utils.rst.txt
new file mode 100644
index 000000000..4c3624869
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.labelers.classification_report_utils.rst.txt
@@ -0,0 +1,7 @@
+Classification Report Utils
+===========================
+
+.. automodule:: dataprofiler.labelers.classification_report_utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.labelers.column_name_model.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.labelers.column_name_model.rst.txt
new file mode 100644
index 000000000..e4a5bc988
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.labelers.column_name_model.rst.txt
@@ -0,0 +1,7 @@
+Column Name Model
+=================
+
+.. automodule:: dataprofiler.labelers.column_name_model
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.labelers.data_labelers.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.labelers.data_labelers.rst.txt
new file mode 100644
index 000000000..6ac45d9e6
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.labelers.data_labelers.rst.txt
@@ -0,0 +1,7 @@
+Data Labelers
+=============
+
+.. automodule:: dataprofiler.labelers.data_labelers
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.labelers.data_processing.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.labelers.data_processing.rst.txt
new file mode 100644
index 000000000..58d572a29
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.labelers.data_processing.rst.txt
@@ -0,0 +1,7 @@
+Data Processing
+===============
+
+.. automodule:: dataprofiler.labelers.data_processing
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.labelers.labeler_utils.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.labelers.labeler_utils.rst.txt
new file mode 100644
index 000000000..f14cabd5c
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.labelers.labeler_utils.rst.txt
@@ -0,0 +1,7 @@
+Labeler Utils
+=============
+
+.. automodule:: dataprofiler.labelers.labeler_utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.labelers.regex_model.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.labelers.regex_model.rst.txt
new file mode 100644
index 000000000..e85772ad2
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.labelers.regex_model.rst.txt
@@ -0,0 +1,7 @@
+Regex Model
+===========
+
+.. automodule:: dataprofiler.labelers.regex_model
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.labelers.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.labelers.rst.txt
new file mode 100644
index 000000000..7d660273e
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.labelers.rst.txt
@@ -0,0 +1,30 @@
+Labelers
+========
+
+
+Modules
+-------
+
+.. toctree::
+   :maxdepth: 4
+
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.labelers.base_data_labeler
+   dataprofiler.labelers.base_model
+   dataprofiler.labelers.char_load_tf_model
+   dataprofiler.labelers.character_level_cnn_model
+   dataprofiler.labelers.classification_report_utils
+   dataprofiler.labelers.column_name_model
+   dataprofiler.labelers.data_labelers
+   dataprofiler.labelers.data_processing
+   dataprofiler.labelers.labeler_utils
+   dataprofiler.labelers.regex_model
+   dataprofiler.labelers.utils
+
+.. automodule:: dataprofiler.labelers
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/0.10.5/html/_sources/dataprofiler.labelers.utils.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.labelers.utils.rst.txt
new file mode 100644
index 000000000..a0486f9be
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.labelers.utils.rst.txt
@@ -0,0 +1,7 @@
+Utils
+=====
+
+.. automodule:: dataprofiler.labelers.utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.base_column_profilers.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.base_column_profilers.rst.txt
new file mode 100644
index 000000000..13cab9ff4
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.base_column_profilers.rst.txt
@@ -0,0 +1,7 @@
+Base Column Profilers
+=====================
+
+.. automodule:: dataprofiler.profilers.base_column_profilers
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.categorical_column_profile.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.categorical_column_profile.rst.txt
new file mode 100644
index 000000000..a525d86c8
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.categorical_column_profile.rst.txt
@@ -0,0 +1,7 @@
+Categorical Column Profile
+==========================
+
+.. automodule:: dataprofiler.profilers.categorical_column_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.column_profile_compilers.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.column_profile_compilers.rst.txt
new file mode 100644
index 000000000..9599deb9a
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.column_profile_compilers.rst.txt
@@ -0,0 +1,7 @@
+Column Profile Compilers
+========================
+
+.. automodule:: dataprofiler.profilers.column_profile_compilers
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.data_labeler_column_profile.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.data_labeler_column_profile.rst.txt
new file mode 100644
index 000000000..282408931
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.data_labeler_column_profile.rst.txt
@@ -0,0 +1,7 @@
+Data Labeler Column Profile
+===========================
+
+.. automodule:: dataprofiler.profilers.data_labeler_column_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.datetime_column_profile.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.datetime_column_profile.rst.txt
new file mode 100644
index 000000000..d4467634f
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.datetime_column_profile.rst.txt
@@ -0,0 +1,7 @@
+Datetime Column Profile
+=======================
+
+.. automodule:: dataprofiler.profilers.datetime_column_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.float_column_profile.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.float_column_profile.rst.txt
new file mode 100644
index 000000000..d23bb4336
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.float_column_profile.rst.txt
@@ -0,0 +1,7 @@
+Float Column Profile
+====================
+
+.. automodule:: dataprofiler.profilers.float_column_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.graph_profiler.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.graph_profiler.rst.txt
new file mode 100644
index 000000000..196194771
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.graph_profiler.rst.txt
@@ -0,0 +1,7 @@
+Graph Profiler
+==============
+
+.. automodule:: dataprofiler.profilers.graph_profiler
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.helpers.report_helpers.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.helpers.report_helpers.rst.txt
new file mode 100644
index 000000000..c20d1f391
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.helpers.report_helpers.rst.txt
@@ -0,0 +1,7 @@
+Report Helpers
+==============
+
+.. automodule:: dataprofiler.profilers.helpers.report_helpers
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.helpers.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.helpers.rst.txt
new file mode 100644
index 000000000..b82f660b5
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.helpers.rst.txt
@@ -0,0 +1,20 @@
+Helpers
+=======
+
+
+Modules
+-------
+
+.. toctree::
+   :maxdepth: 4
+
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.profilers.helpers.report_helpers
+
+.. automodule:: dataprofiler.profilers.helpers
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.histogram_utils.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.histogram_utils.rst.txt
new file mode 100644
index 000000000..039bb08d8
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.histogram_utils.rst.txt
@@ -0,0 +1,7 @@
+Histogram Utils
+===============
+
+.. automodule:: dataprofiler.profilers.histogram_utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.int_column_profile.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.int_column_profile.rst.txt
new file mode 100644
index 000000000..b6d8d7921
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.int_column_profile.rst.txt
@@ -0,0 +1,7 @@
+Int Column Profile
+==================
+
+.. automodule:: dataprofiler.profilers.int_column_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.json_decoder.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.json_decoder.rst.txt
new file mode 100644
index 000000000..761551996
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.json_decoder.rst.txt
@@ -0,0 +1,7 @@
+JSON Decoder
+============
+
+.. automodule:: dataprofiler.profilers.json_decoder
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.json_encoder.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.json_encoder.rst.txt
new file mode 100644
index 000000000..bef659ecd
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.json_encoder.rst.txt
@@ -0,0 +1,7 @@
+JSON Encoder
+============
+
+.. automodule:: dataprofiler.profilers.json_encoder
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.numerical_column_stats.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.numerical_column_stats.rst.txt
new file mode 100644
index 000000000..a8b6ac226
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.numerical_column_stats.rst.txt
@@ -0,0 +1,7 @@
+Numerical Column Stats
+======================
+
+.. automodule:: dataprofiler.profilers.numerical_column_stats
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.order_column_profile.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.order_column_profile.rst.txt
new file mode 100644
index 000000000..7b1605659
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.order_column_profile.rst.txt
@@ -0,0 +1,7 @@
+Order Column Profile
+====================
+
+.. automodule:: dataprofiler.profilers.order_column_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.profile_builder.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.profile_builder.rst.txt
new file mode 100644
index 000000000..d73e6d9a2
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.profile_builder.rst.txt
@@ -0,0 +1,7 @@
+Profile Builder
+===============
+
+.. automodule:: dataprofiler.profilers.profile_builder
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.profiler_options.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.profiler_options.rst.txt
new file mode 100644
index 000000000..127e8e1ad
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.profiler_options.rst.txt
@@ -0,0 +1,7 @@
+Profiler Options
+================
+
+.. automodule:: dataprofiler.profilers.profiler_options
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.profiler_utils.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.profiler_utils.rst.txt
new file mode 100644
index 000000000..5e9c6533c
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.profiler_utils.rst.txt
@@ -0,0 +1,7 @@
+Profiler Utils
+==============
+
+.. automodule:: dataprofiler.profilers.profiler_utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.rst.txt
new file mode 100644
index 000000000..7a5b45394
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.rst.txt
@@ -0,0 +1,39 @@
+Profilers
+=========
+
+
+Modules
+-------
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.profilers.helpers
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.profilers.base_column_profilers
+   dataprofiler.profilers.categorical_column_profile
+   dataprofiler.profilers.column_profile_compilers
+   dataprofiler.profilers.data_labeler_column_profile
+   dataprofiler.profilers.datetime_column_profile
+   dataprofiler.profilers.float_column_profile
+   dataprofiler.profilers.graph_profiler
+   dataprofiler.profilers.histogram_utils
+   dataprofiler.profilers.int_column_profile
+   dataprofiler.profilers.json_decoder
+   dataprofiler.profilers.json_encoder
+   dataprofiler.profilers.numerical_column_stats
+   dataprofiler.profilers.order_column_profile
+   dataprofiler.profilers.profile_builder
+   dataprofiler.profilers.profiler_options
+   dataprofiler.profilers.profiler_utils
+   dataprofiler.profilers.text_column_profile
+   dataprofiler.profilers.unstructured_labeler_profile
+   dataprofiler.profilers.unstructured_text_profile
+
+.. automodule:: dataprofiler.profilers
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.text_column_profile.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.text_column_profile.rst.txt
new file mode 100644
index 000000000..097e6e02c
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.text_column_profile.rst.txt
@@ -0,0 +1,7 @@
+Text Column Profile
+===================
+
+.. automodule:: dataprofiler.profilers.text_column_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.unstructured_labeler_profile.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.unstructured_labeler_profile.rst.txt
new file mode 100644
index 000000000..c49f68004
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.unstructured_labeler_profile.rst.txt
@@ -0,0 +1,7 @@
+Unstructured Labeler Profile
+============================
+
+.. automodule:: dataprofiler.profilers.unstructured_labeler_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.unstructured_text_profile.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.unstructured_text_profile.rst.txt
new file mode 100644
index 000000000..27b56ea93
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.unstructured_text_profile.rst.txt
@@ -0,0 +1,7 @@
+Unstructured Text Profile
+=========================
+
+.. automodule:: dataprofiler.profilers.unstructured_text_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.profilers.utils.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.profilers.utils.rst.txt
new file mode 100644
index 000000000..ddae85e63
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.profilers.utils.rst.txt
@@ -0,0 +1,7 @@
+Utils
+=====
+
+.. automodule:: dataprofiler.profilers.utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.reports.graphs.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.reports.graphs.rst.txt
new file mode 100644
index 000000000..3a7adf900
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.reports.graphs.rst.txt
@@ -0,0 +1,7 @@
+Graphs
+======
+
+.. automodule:: dataprofiler.reports.graphs
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.reports.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.reports.rst.txt
new file mode 100644
index 000000000..59525629c
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.reports.rst.txt
@@ -0,0 +1,21 @@
+Reports
+=======
+
+
+Modules
+-------
+
+.. toctree::
+   :maxdepth: 4
+
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.reports.graphs
+   dataprofiler.reports.utils
+
+.. automodule:: dataprofiler.reports
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/0.10.5/html/_sources/dataprofiler.reports.utils.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.reports.utils.rst.txt
new file mode 100644
index 000000000..97e26cde0
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.reports.utils.rst.txt
@@ -0,0 +1,7 @@
+Utils
+=====
+
+.. automodule:: dataprofiler.reports.utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.rng_utils.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.rng_utils.rst.txt
new file mode 100644
index 000000000..e4b84b46a
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.rng_utils.rst.txt
@@ -0,0 +1,7 @@
+Rng Utils
+=========
+
+.. automodule:: dataprofiler.rng_utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.rst.txt
new file mode 100644
index 000000000..d5ed33a58
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.rst.txt
@@ -0,0 +1,28 @@
+Dataprofiler
+============
+
+
+Modules
+-------
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.data_readers
+   dataprofiler.labelers
+   dataprofiler.profilers
+   dataprofiler.reports
+   dataprofiler.validators
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.dp_logging
+   dataprofiler.rng_utils
+   dataprofiler.settings
+   dataprofiler.version
+
+.. automodule:: dataprofiler
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/0.10.5/html/_sources/dataprofiler.settings.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.settings.rst.txt
new file mode 100644
index 000000000..81c664c07
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.settings.rst.txt
@@ -0,0 +1,7 @@
+Settings
+========
+
+.. automodule:: dataprofiler.settings
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.validators.base_validators.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.validators.base_validators.rst.txt
new file mode 100644
index 000000000..b8f328736
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.validators.base_validators.rst.txt
@@ -0,0 +1,7 @@
+Base Validators
+===============
+
+.. automodule:: dataprofiler.validators.base_validators
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/dataprofiler.validators.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.validators.rst.txt
new file mode 100644
index 000000000..704dfee21
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.validators.rst.txt
@@ -0,0 +1,20 @@
+Validators
+==========
+
+
+Modules
+-------
+
+.. toctree::
+   :maxdepth: 4
+
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.validators.base_validators
+
+.. automodule:: dataprofiler.validators
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/0.10.5/html/_sources/dataprofiler.version.rst.txt b/docs/0.10.5/html/_sources/dataprofiler.version.rst.txt
new file mode 100644
index 000000000..3977b6379
--- /dev/null
+++ b/docs/0.10.5/html/_sources/dataprofiler.version.rst.txt
@@ -0,0 +1,7 @@
+Version
+=======
+
+.. automodule:: dataprofiler.version
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/examples.rst.txt b/docs/0.10.5/html/_sources/examples.rst.txt
new file mode 100644
index 000000000..3637da6ac
--- /dev/null
+++ b/docs/0.10.5/html/_sources/examples.rst.txt
@@ -0,0 +1,24 @@
+.. _examples:
+
+Examples
+********
+
+These examples provide a more in-depth look into the details of the ``Data Profiler`` library.
+
+Basics
+------
+
+.. toctree::
+   :maxdepth: 0
+
+   Overview of Data Profiler<overview>
+   Data Reader<data_reader>
+   Structured Profiler<profiler_example>
+   Unstructured Profiler<unstructured_profiler_example>
+   Graph Profiler<graph_data_demo>
+   Labeler<labeler>
+   Adding Models to a Labeler Pipeline<add_new_model_to_data_labeler>
+   Creating a Regex Labeler<regex_labeler_from_scratch>
+   Creating a ColumnName Labeler<column_name_labeler_example>
+   Merge Profile List<merge_profile_list>
+   Dataloader with Popmon Reports<popmon_dp_loader_example>
diff --git a/docs/0.10.5/html/_sources/graph_data_demo.nblink.txt b/docs/0.10.5/html/_sources/graph_data_demo.nblink.txt
new file mode 100644
index 000000000..e627c61f8
--- /dev/null
+++ b/docs/0.10.5/html/_sources/graph_data_demo.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/graph_data_demo.ipynb"
+}
diff --git a/docs/0.10.5/html/_sources/graphs.rst.txt b/docs/0.10.5/html/_sources/graphs.rst.txt
new file mode 100644
index 000000000..23c2d316b
--- /dev/null
+++ b/docs/0.10.5/html/_sources/graphs.rst.txt
@@ -0,0 +1,196 @@
+.. _reports:
+
+Graphs
+******
+
+Graph Your Data
+===============
+
+We can plot some of our data as seaborn histogram plots. Below will demonstrate how to do so and provide examples.
+
+The following plots are currently available to work directly with your profilers:
+
+ * histogram (numeric columns only)
+ * missing values matrix
+
+Below shows how to do so with examples.
+
+What we need to import
+~~~~~~~~~~~~~~~~~~~~~~
+.. code-block:: python
+
+    from dataprofiler.reports import graphs
+
+The main functions that is used to plot histograms are in graphs. **You will also need the `dataprofiler[reports]` requirement to be installed**:
+
+.. code-block:: console
+
+    pip install 'dataprofiler[reports]'
+
+Plotting from a StructuredProfiler class
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+With a StructuredProfiler class variable, we can specify what columns we want to be plotted, and plot them into histograms.
+
+.. code-block:: python
+
+    graphs.plot_histograms(profiler, column_names, column_inds)
+
+These are what the variables mean:
+
+    * **profiler** - StructuredProfiler class variable that contains the data we want
+    * **columns** - (Optional) The list of IntColumn or FloatColumn *names* we want to specifically plot. If specified, `column_inds` cannot be specified.
+    * **column_inds** - (Optional) The list of IntColumn or FloatColumn *indexes* we want to specifically plot. If specified, `column_names` cannot be specified.
+
+
+Additionally, we can also plot the missing values matrix for a StructuredProfiler:
+
+.. code-block:: python
+
+    graphs.plot_missing_values_matrix(profiler, ax, title)
+
+These are what the variables mean:
+
+    * **profiler** - StructuredProfiler class variable that contains the data we want
+    * **ax** - (Optional) MatPlotLib Axes to plot the matrix within.
+    * **title** - (Optional) The title of the axes we want to define.
+
+
+Plotting an individual IntColumn or FloatColumn
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+With a column's Int or Float profile, we can plot their respective histograms.
+
+.. code-block:: python
+
+    graphs.plot_col_histogram(column, axes, title)
+
+These are what the variables mean:
+
+    * **column** - The IntColumn or FloatColumn we want to plot
+    * **axes** - (Optional) The MatPlotLib Axes to plot the histogram within.
+    * **title** - (Optional) The title of the axes we want to define.
+
+
+Additionally, we can also plot the missing values bargraph for any column profile:
+
+.. code-block:: python
+
+    graphs.plot_col_missing_values(profiler, ax, title)
+
+These are what the variables mean:
+
+    * **profiler** - The StructuredColProfiler we want to plot
+    * **ax** - (Optional) MatPlotLib Axes to plot the matrix within.
+    * **title** - (Optional) The title of the axes we want to define.
+
+Examples
+~~~~~~~~
+
+Histograms
+----------
+
+1. This example demonstrates how we can take a StructuredProfiler class and plot histograms of the specified columns.
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    from dataprofiler.reports import graphs
+    
+
+    data = [[1, 'a', 1.0],
+            [2, 'b', 2.2],
+            [3, 'c', 3.5],
+            [None, 'd', 10.0]]
+    profiler = dp.StructuredProfiler(data)
+
+    # This will plot all IntColumn and FloatColumn as histograms (The first and last column).
+    fig = graphs.plot_histograms(profiler)
+    fig.show()
+
+    # This will only plot the specified column, 0.
+    columns_names = [0]
+    fig = graphs.plot_histograms(profiler, columns_names)
+    fig.show()
+
+.. image:: _static/images/histogram_example_0.png
+    :alt: First Histogram Example Image
+
+.. image:: _static/images/histogram_example_1.png
+    :alt: Second Histogram Example Image
+
+2. This example demonstrates how we can plot a low level profiler.
+
+.. code-block:: python
+
+    import pandas as pd
+    
+    from dataprofiler.profilers import IntColumn
+    from dataprofiler.reports import graphs
+    
+
+    data = pd.Series([1, 2, 3], dtype=str)
+    profiler = IntColumn('example')
+    profiler.update(data)
+
+    # Plot the axes
+    ax = graphs.plot_col_histogram(profiler)
+    
+    # get and show the figure of the plotted histogram
+    fig = ax.get_figure()
+    fig.show()
+
+.. image:: _static/images/histogram_example_2.png
+    :alt: Histogram Column Only Example Image
+
+
+Missing Values Matrix
+---------------------
+
+1. This example demonstrates how we can take a StructuredProfiler class and plot a missing values matrix.
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    from dataprofiler.reports import graphs
+
+
+    data = pd.DataFrame(
+        [[None, '', 1.0, '1/2/2021'],
+         [3, None, 3.5, ''],
+         [1, None, 1.0, '2/5/2020'],
+         [None, 1, 10.0, '3/5/2020']],
+        columns=['integer', 'str', 'float', 'datetime'],
+        dtype=object
+    )
+    profiler = dp.StructuredProfiler(data)
+
+    # This will plot the missing values matrix for all columns.
+    fig = graphs.plot_missing_values_matrix(profiler)
+    fig.show()
+
+.. image:: _static/images/missing_value_matrix_example_0.png
+    :alt: Missing Values Matrix Example Image
+
+2. This example demonstrates how we can plot barchart of a column's missing values.
+
+.. code-block:: python
+
+    import pandas as pd
+
+    from dataprofiler.profilers.profile_builder import StructuredColProfiler
+    from dataprofiler.reports import graphs
+
+
+    data = pd.Series([1, 2, 3, None, None, 4], name='example', dtype=str)
+    profiler = StructuredColProfiler(data)
+
+    # Plot the axes, can be a list of multiple columns
+    ax = graphs.plot_col_missing_values([profiler])
+
+    # get and show the figure of the plotted histogram
+    fig = ax.get_figure()
+    fig.show()
+
+.. image:: _static/images/missing_value_barchart_example_0.png
+    :alt: Missing Values Column Only Example Image
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/index.rst.txt b/docs/0.10.5/html/_sources/index.rst.txt
new file mode 100644
index 000000000..5e97ab064
--- /dev/null
+++ b/docs/0.10.5/html/_sources/index.rst.txt
@@ -0,0 +1,587 @@
+.. _Data Profiler:
+
+====================================
+Data Profiler | What's in your data?
+====================================
+
+Purpose
+=======
+
+The DataProfiler is a Python library designed to make data analysis, monitoring and **sensitive data detection** easy.
+
+Loading **Data** with a single command, the library automatically formats & loads files into a DataFrame. **Profiling** the Data, the library identifies the schema, statistics, entities and more. Data Profiles can then be used in downstream applications or reports.
+
+The Data Profiler comes with a cutting edge pre-trained deep learning model, used to efficiently identify **sensitive data** (or **PII**). If customization is needed, it's easy to add new entities to the existing pre-trained model or insert a new pipeline for entity recognition.
+
+The best part? Getting started only takes a few lines of code (`Example CSV`_):
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+    
+    data = Data("your_file.csv") # Auto-Detect & Load: CSV, AVRO, Parquet, JSON, Text
+    print(data.data.head(5)) # Access data directly via a compatible Pandas DataFrame
+    
+    profile = Profiler(data) # Calculate Statistics, Entity Recognition, etc
+    readable_report = profile.report(report_options={"output_format":"pretty"})
+    print(json.dumps(readable_report, indent=4))
+
+
+To install the full package from pypi: 
+
+.. code-block:: console
+
+    pip install DataProfiler[ml]
+
+If the ML requirements are too strict (say, you don't want to install tensorflow), you can install a slimmer package. The slimmer package disables the default sensitive data detection / entity recognition (labler)
+
+Install from pypi: 
+
+.. code-block:: console
+
+    pip install DataProfiler
+
+If you have suggestions or find a bug, please open an `issue`_.
+
+Visit the :ref:`API<API>` to explore Data Profiler's terminology.
+
+
+What is a Data Profile?
+=======================
+
+In the case of this library, a data profile is a dictionary containing statistics and predictions about the underlying dataset. There are "global statistics" or `global_stats`, which contain dataset level data and there are "column/row level statistics" or `data_stats` (each column is a new key-value entry). 
+
+The format for a structured profile is below:
+
+.. code-block:: python
+
+    "global_stats": {
+        "samples_used": int,
+        "column_count": int,
+        "row_count": int,
+        "row_has_null_ratio": float,
+        "row_is_null_ratio": float,    
+        "unique_row_ratio": float,
+        "duplicate_row_count": int,
+        "file_type": string,
+        "encoding": string,
+        "correlation_matrix": list[list[int]], (*)
+        "chi2_matrix": list[list[float]],
+        "profile_schema": dict[string, list[int]]
+    },
+    "data_stats": [
+        {
+            "column_name": string,
+            "data_type": string,
+            "data_label": string,
+            "categorical": bool,
+            "order": string,
+            "samples": list[str],
+            "statistics": {
+                "sample_size": int,
+                "null_count": int,
+                "null_types": list[string],
+                "null_types_index": dict[string, list[int]],
+                "data_type_representation": dict[string, list[string]],
+                "min": [null, float],
+                "max": [null, float],
+                "sum": float,
+                "mode": list[float],
+                "median": float,
+                "median_absolute_deviation": float,
+                "mean": float,
+                "variance": float,
+                "stddev": float,
+                "skewness": float,
+                "kurtosis": float,
+                "num_zeros": int,
+                "num_negatives": int,
+                "histogram": { 
+                    "bin_counts": list[int],
+                    "bin_edges": list[float],
+                },
+                "quantiles": {
+                    int: float
+                },
+                "vocab": list[char],
+                "avg_predictions": dict[string, float], 
+                "data_label_representation": dict[string, float],
+                "categories": list[str],
+                "unique_count": int,
+                "unique_ratio": float,
+                "categorical_count": dict[string, int],
+                "gini_impurity": float,
+                "unalikeability": float,
+                "precision": {
+                    'min': int,
+                    'max': int,
+                    'mean': float,
+                    'var': float,
+                    'std': float,
+                    'sample_size': int,
+                    'margin_of_error': float,
+                    'confidence_level': float		
+                },
+                "times": dict[string, float],
+                "format": string
+            },
+            "null_replication_metrics": {
+                "class_prior": list[int],
+                "class_sum": list[list[int]],
+                "class_mean": list[list[int]]
+            }
+        }
+    ]
+
+(*) Currently the correlation matrix update is toggled off. It will be reset in a later update. Users can still use it as desired with the is_enable option set to True.
+
+The format for an unstructured profile is below:
+
+.. code-block:: python
+
+    "global_stats": {
+        "samples_used": int,
+        "empty_line_count": int,
+        "file_type": string,
+        "encoding": string,
+        "memory_size": float, # in MB
+    },
+    "data_stats": {
+        "data_label": {
+            "entity_counts": {
+                "word_level": dict[string, int],
+                "true_char_level": dict[string, int],
+                "postprocess_char_level": dict[string, int]
+            },
+            "entity_percentages": {
+                "word_level": dict[string, float],
+                "true_char_level": dict[string, float],
+                "postprocess_char_level": dict[string, float]
+            },
+            "times": dict[string, float]
+        },
+        "statistics": {
+            "vocab": list[char],
+            "vocab_count": dict[string, int],
+            "words": list[string],
+            "word_count": dict[string, int],
+            "times": dict[string, float]
+        }
+    }
+
+The format for a graph profile is below:
+
+.. code-block:: python
+    
+    "num_nodes": int,
+    "num_edges": int,
+    "categorical_attributes": list[string],
+    "continuous_attributes": list[string],
+    "avg_node_degree": float,
+    "global_max_component_size": int,
+    "continuous_distribution": {
+        "<attribute_1>": {
+            "name": string,
+            "scale": float,
+            "properties": list[float, np.array]
+        },
+        "<attribute_2>": None,
+    },
+    "categorical_distribution": {
+        "<attribute_1>": None,
+        "<attribute_2>": {
+            "bin_counts": list[int],
+            "bin_edges": list[float]
+        },
+    }, 
+    "times": dict[string, float]
+
+Supported Data Formats
+~~~~~~~~~~~~~~~~~~~~~~
+
+* Any delimited file (CSV, TSV, etc.)
+* JSON object
+* Avro file
+* Parquet file
+* Text file
+* Pandas DataFrame
+* A URL that points to one of the supported file types above
+
+
+Data Labels
+~~~~~~~~~~~
+
+*Data Labels* are determined per cell for structured data (column/row when the *profiler* is used) or at the character level for unstructured data.
+
+* UNKNOWN
+* ADDRESS
+* BAN (bank account number, 10-18 digits)
+* CREDIT_CARD
+* EMAIL_ADDRESS
+* UUID 
+* HASH_OR_KEY (md5, sha1, sha256, random hash, etc.)
+* IPV4
+* IPV6
+* MAC_ADDRESS
+* PERSON
+* PHONE_NUMBER
+* SSN
+* URL
+* US_STATE
+* DRIVERS_LICENSE
+* DATE
+* TIME
+* DATETIME
+* INTEGER
+* FLOAT
+* QUANTITY
+* ORDINAL
+
+
+Get Started
+===========
+
+Load a File
+~~~~~~~~~~~
+
+The profiler should automatically identify the file type and load the data into a `Data Class`.
+
+Along with other attributtes the `Data class` enables structured data to be accessed via a valid Pandas DataFrame.
+
+.. code-block:: python
+
+    # Load a csv file, return a CSVData object
+    csv_data = Data('your_file.csv') 
+
+    # Print the first 10 rows of the csv file
+    print(csv_data.data.head(10))
+
+    # Load a parquet file, return a ParquetData object
+    parquet_data = Data('your_file.parquet')
+
+    # Sort the data by the name column
+    parquet_data.data.sort_values(by='name', inplace=True)
+
+    # Print the sorted first 10 rows of the parquet data
+    print(parquet_data.data.head(10))
+
+
+If the file type is not automatically identified (rare), you can specify them 
+specifically, see section Data Readers.
+
+Profile a File 
+~~~~~~~~~~~~~~
+
+Example uses a CSV file for example, but CSV, JSON, Avro, Parquet or Text should also work.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load file (CSV should be automatically identified)
+    data = Data("your_file.csv") 
+
+    # Profile the dataset
+    profile = Profiler(data)
+
+    # Generate a report and use json to prettify.
+    report  = profile.report(report_options={"output_format":"pretty"})
+
+    # Print the report
+    print(json.dumps(report, indent=4))
+
+Updating Profiles
+~~~~~~~~~~~~~~~~~
+
+Currently, the data profiler is equipped to update its profile in batches.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load and profile a CSV file
+    data = Data("your_file.csv")
+    profile = Profiler(data)
+
+    # Update the profile with new data:
+    new_data = Data("new_data.csv")
+    profile.update_profile(new_data)
+
+    # Print the report using json to prettify.
+    report  = profile.report(report_options={"output_format":"pretty"})
+    print(json.dumps(report, indent=4))
+
+
+Merging Profiles
+~~~~~~~~~~~~~~~~
+
+If you have two files with the same schema (but different data), it is possible to merge the two profiles together via an addition operator. 
+
+This also enables profiles to be determined in a distributed manner.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load a CSV file with a schema
+    data1 = Data("file_a.csv")
+    profile1 = Profiler(data)
+
+    # Load another CSV file with the same schema
+    data2 = Data("file_b.csv")
+    profile2 = Profiler(data)
+
+    profile3 = profile1 + profile2
+
+    # Print the report using json to prettify.
+    report  = profile3.report(report_options={"output_format":"pretty"})
+    print(json.dumps(report, indent=4))
+
+Profile a Pandas DataFrame
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. code-block:: python
+
+    import pandas as pd
+    import dataprofiler as dp
+    import json
+
+    my_dataframe = pd.DataFrame([[1, 2.0],[1, 2.2],[-1, 3]])
+    profile = dp.Profiler(my_dataframe)
+
+    # print the report using json to prettify.
+    report = profile.report(report_options={"output_format":"pretty"})
+    print(json.dumps(report, indent=4))
+
+    # read a specified column, in this case it is labeled 0:
+    print(json.dumps(report["data stats"][0], indent=4))
+
+
+Unstructured Profiler
+~~~~~~~~~~~~~~~~~~~~~
+
+In addition to the structured profiler, the Data Profiler provides unstructured 
+profiling for the TextData object or string. Unstructured profiling also works 
+with list(string), pd.Series(string) or pd.DataFrame(string) given profiler_type
+option specified as `unstructured`. Below is an example of unstructured profile 
+with a text file. 
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    import json
+    my_text = dp.Data('text_file.txt')
+    profile = dp.Profiler(my_text)
+    
+    # print the report using json to prettify.
+    report = profile.report(report_options={"output_format":"pretty"})
+    print(json.dumps(report, indent=4))
+    
+Another example of unstructured profile with pd.Series of string is given as below
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    import pandas as pd
+    import json
+    
+    text_data = pd.Series(['first string', 'second string'])
+    profile = dp.Profiler(text_data, profiler_type="unstructured")
+    
+    # print the report using json to prettify.
+    report = profile.report(report_options={"output_format":"pretty"})
+    print(json.dumps(report, indent=4))
+
+
+Graph Profiler
+~~~~~~~~~~~~~~
+
+DataProfiler also provides the ability to profile graph data from a csv file. Below is an example of the graph profiler with a graph data csv file:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    import pprint
+
+    my_graph = dp.Data('graph_file.csv')
+    profile = dp.Profiler(my_graph)
+
+    # print the report using pretty print (json dump does not work on numpy array values inside dict)
+    report = profile.report()
+    printer = pprint.PrettyPrinter(sort_dicts=False, compact=True)
+    printer.pprint(report)
+
+
+Specifying a Filetype or Delimiter
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Example of specifying a CSV data type, with a `,` delimiter.
+In addition, it utilizes only the first 10,000 rows.
+
+.. code-block:: python
+
+    import json
+    import os
+    from dataprofiler import Data, Profiler
+    from dataprofiler.data_readers.csv_data import CSVData
+
+    # Load a CSV file, with "," as the delimiter
+    data = CSVData("your_file.csv", options={"delimiter": ","})
+
+    # Split the data, such that only the first 10,000 rows are used
+    data = data.data[0:10000]
+
+    # Read in profile and print results
+    profile = Profiler(data)
+    print(json.dumps(profile.report(report_options={"output_format":"pretty"}), indent=4))
+
+
+.. toctree::
+   :maxdepth: 2
+   :hidden:
+   :caption: Getting Started:
+
+   Intro<self>
+   install.rst
+   data_readers.rst
+   profiler.rst
+   data_labeling.rst
+   graphs.rst
+
+.. toctree::
+   :maxdepth: 2
+   :hidden:
+   :caption: User Guide:
+
+   examples.rst
+   API.rst
+
+.. toctree::
+   :maxdepth: 2
+   :hidden:
+   :caption: Community:
+
+   roadmap.rst
+   Changelog<https://github.com/capitalone/DataProfiler/releases>
+   Feedback<https://github.com/capitalone/DataProfiler/issues/new/choose>
+   GitHub<https://github.com/capitalone/DataProfiler>
+   Contributing<https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md>
+
+.. _Example CSV: https://raw.githubusercontent.com/capitalone/DataProfiler/main/dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv
+.. _issue: https://github.com/capitalone/DataProfiler/issues/new/choose
+
+Versions
+========
+* `0.10.5`_
+* `0.10.4`_
+* `0.10.3`_
+* `0.10.2`_
+* `0.10.1`_
+* `0.10.0`_
+* `0.9.0`_
+* `0.8.9`_
+* `0.8.8`_
+* `0.8.7`_
+* `0.8.6`_
+* `0.8.5`_
+* `0.8.4`_
+* `0.8.3`_
+* `0.8.2`_
+* `0.8.1`_
+* `0.8.0`_
+* `0.7.11`_
+* `0.7.10`_
+* `0.7.9`_
+* `0.7.8`_
+* `0.7.7`_
+* `0.7.6`_
+* `0.7.2`_
+* `0.7.1`_
+* `0.7.0`_
+* `0.6.0`_
+* `0.5.3`_
+* `0.5.2`_
+* `0.5.1`_
+* `0.5.0`_
+* `0.4.7`_
+* `0.4.6`_
+* `0.4.5`_
+* `0.4.4`_
+* `0.4.3`_
+* `0.3.0`_
+
+.. _0.3.0: ../../v0.3/html/index.html
+.. _0.4.3: ../../0.4.3/html/index.html
+
+.. _0.4.4: ../../0.4.4/html/index.html
+
+.. _0.4.5: ../../0.4.5/html/index.html
+
+.. _0.4.6: ../../0.4.6/html/index.html
+
+.. _0.4.7: ../../0.4.7/html/index.html
+
+.. _0.5.0: ../../0.5.0/html/index.html
+
+.. _0.5.1: ../../0.5.1/html/index.html
+
+.. _0.5.2: ../../0.5.2/html/index.html
+
+.. _0.5.3: ../../0.5.3/html/index.html
+.. _0.6.0: ../../0.6.0/html/index.html
+
+.. _0.7.0: ../../0.7.0/html/index.html
+
+.. _0.7.1: ../../0.7.1/html/index.html
+.. _0.7.2: ../../0.7.2/html/index.html
+
+.. _0.7.6: ../../0.7.6/html/index.html
+
+.. _0.7.7: ../../0.7.7/html/index.html
+
+.. _0.7.8: ../../0.7.8/html/index.html
+
+.. _0.7.9: ../../0.7.9/html/index.html
+
+.. _0.7.10: ../../0.7.10/html/index.html
+
+.. _0.7.11: ../../0.7.11/html/index.html
+
+.. _0.8.0: ../../0.8.0/html/index.html
+
+.. _0.8.1: ../../0.8.1/html/index.html
+
+.. _0.8.2: ../../0.8.2/html/index.html
+
+.. _0.8.3: ../../0.8.3/html/index.html
+
+.. _0.8.4: ../../0.8.4/html/index.html
+
+.. _0.8.5: ../../0.8.5/html/index.html
+
+.. _0.8.6: ../../0.8.6/html/index.html
+
+.. _0.8.7: ../../0.8.7/html/index.html
+
+.. _0.8.8: ../../0.8.8/html/index.html
+
+.. _0.8.9: ../../0.8.9/html/index.html
+
+.. _0.9.0: ../../0.9.0/html/index.html
+
+.. _0.10.0: ../../0.10.0/html/index.html
+
+.. _0.10.1: ../../0.10.1/html/index.html
+
+.. _0.10.2: ../../0.10.2/html/index.html
+
+.. _0.10.3: ../../0.10.3/html/index.html
+
+.. _0.10.4: ../../0.10.4/html/index.html
+
+.. _0.10.5: ../../0.10.5/html/index.html
+
diff --git a/docs/0.10.5/html/_sources/install.rst.txt b/docs/0.10.5/html/_sources/install.rst.txt
new file mode 100644
index 000000000..bdf4c3bb4
--- /dev/null
+++ b/docs/0.10.5/html/_sources/install.rst.txt
@@ -0,0 +1,145 @@
+.. _install:
+
+Install
+*******
+
+To install the full package from pypi: 
+
+.. code-block:: console
+
+    pip install DataProfiler[ml]
+
+If the ML requirements are too strict (say, you don't want to install 
+tensorflow), you can install a slimmer package. The slimmer package disables 
+the default sensitive data detection / entity recognition (labler)
+
+Install from pypi: 
+
+.. code-block:: console
+
+    pip install DataProfiler
+
+Snappy Installation
+===================
+
+This is required to profile parquet/avro datasets
+
+MacOS (intel chip) with homebrew:
+
+.. code-block:: console
+
+    brew install snappy && CPPFLAGS="-I/usr/local/include -L/usr/local/lib" pip install python-snappy
+
+
+MacOS (apple chip) with homebrew:
+
+.. code-block:: console
+
+    brew install snappy && CPPFLAGS="-I/opt/homebrew/include -L/opt/homebrew/lib" pip install python-snappy
+
+
+Linux install:
+
+.. code-block:: console
+
+    sudo apt-get -y install libsnappy-dev
+
+
+Build From Scratch
+==================
+
+NOTE: Installation for python3
+
+virtualenv install:
+
+.. code-block:: console
+    
+    python3 -m pip install virtualenv
+
+
+Setup virtual env:
+
+.. code-block:: console
+
+    python3 -m virtualenv --python=python3 venv3
+    source venv3/bin/activate
+
+
+Install requirements:
+
+.. code-block:: console
+
+    pip3 install -r requirements.txt
+
+Install labeler dependencies:
+
+.. code-block:: console
+
+    pip3 install -r requirements-ml.txt
+
+
+Install via the repo -- Build setup.py and install locally:
+
+.. code-block:: console
+
+    python3 setup.py sdist bdist bdist_wheel
+    pip3 install dist/DataProfiler*-py3-none-any.whl
+
+
+If you see:
+
+.. code-block:: console
+
+    ERROR: Double requirement given:dataprofiler==X.Y.Z from dataprofiler/dist/DataProfiler-X.Y.Z-py3-none-any.whl (already in dataprofiler==X2.Y2.Z2 from dataprofiler/dist/DataProfiler-X2.Y2.Z2-py3-none-any.whl, name='dataprofiler')
+
+This means that you have multiple versions of the DataProfiler distribution 
+in the dist folder.
+To resolve, either remove the older one or delete the folder and rerun the steps
+above.
+
+Install via github:
+
+.. code-block:: console
+
+    pip3 install git+https://github.com/capitalone/dataprofiler.git#egg=dataprofiler
+
+
+
+Testing
+=======
+
+For testing, install test requirements:
+
+.. code-block:: console
+
+    pip3 install -r requirements-test.txt
+
+
+To run all unit tests, use:
+
+.. code-block:: console
+
+    DATAPROFILER_SEED=0 python3 -m unittest discover -p "test*.py"
+
+
+To run file of unit tests, use form:
+
+.. code-block:: console
+
+    DATAPROFILER_SEED=0 python3 -m unittest discover -p test_profile_builder.py
+
+
+To run a file with Pytest use:
+
+.. code-block:: console
+
+    DATAPROFILER_SEED=0 pytest dataprofiler/tests/data_readers/test_csv_data.py -v
+
+
+To run individual of unit test, use form:
+
+.. code-block:: console
+    
+    DATAPROFILER_SEED=0 python3 -m unittest dataprofiler.tests.profilers.test_profile_builder.TestProfiler
+
+
diff --git a/docs/0.10.5/html/_sources/labeler.nblink.txt b/docs/0.10.5/html/_sources/labeler.nblink.txt
new file mode 100644
index 000000000..bed6517bf
--- /dev/null
+++ b/docs/0.10.5/html/_sources/labeler.nblink.txt
@@ -0,0 +1,6 @@
+{
+    "path": "../../feature_branch/examples/labeler.ipynb",
+    "extra-media": [
+        "../../feature_branch/examples/DL-Flowchart.png"
+  ]
+}
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/merge_profile_list.nblink.txt b/docs/0.10.5/html/_sources/merge_profile_list.nblink.txt
new file mode 100644
index 000000000..50698d637
--- /dev/null
+++ b/docs/0.10.5/html/_sources/merge_profile_list.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/merge_profile_list.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/modules.rst.txt b/docs/0.10.5/html/_sources/modules.rst.txt
new file mode 100644
index 000000000..0593459df
--- /dev/null
+++ b/docs/0.10.5/html/_sources/modules.rst.txt
@@ -0,0 +1,7 @@
+dataprofiler
+============
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler
diff --git a/docs/0.10.5/html/_sources/overview.nblink.txt b/docs/0.10.5/html/_sources/overview.nblink.txt
new file mode 100644
index 000000000..3d9f89d3d
--- /dev/null
+++ b/docs/0.10.5/html/_sources/overview.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/intro_data_profiler.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/popmon_dp_loader_example.nblink.txt b/docs/0.10.5/html/_sources/popmon_dp_loader_example.nblink.txt
new file mode 100644
index 000000000..3beced0ab
--- /dev/null
+++ b/docs/0.10.5/html/_sources/popmon_dp_loader_example.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/popmon_dp_loader_example.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/profiler.rst.txt b/docs/0.10.5/html/_sources/profiler.rst.txt
new file mode 100644
index 000000000..b51a72313
--- /dev/null
+++ b/docs/0.10.5/html/_sources/profiler.rst.txt
@@ -0,0 +1,962 @@
+.. _profiler:
+
+Profiler
+********
+
+Profile Your Data
+=================
+
+Profiling your data is easy. Just use the data reader, send the data to the 
+profiler, and print out the report.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+    
+    data = Data("your_file.csv") # Auto-Detect & Load: CSV, AVRO, Parquet, JSON, Text
+    
+    profile = Profiler(data) # Calculate Statistics, Entity Recognition, etc
+    
+    readable_report = profile.report(report_options={"output_format": "pretty"})
+    print(json.dumps(readable_report, indent=4))
+
+If the data is structured, the profile will return global statistics as well as
+column by column statistics. The vast amount of statistics are listed on the 
+intro page.
+
+Load a File
+~~~~~~~~~~~
+
+The profiler should automatically identify the file type and load the data into a `Data Class`.
+
+Along with other attributtes the `Data class` enables structured data to be accessed via a valid Pandas DataFrame.
+
+.. code-block:: python
+
+    # Load a csv file, return a CSVData object
+    csv_data = Data('your_file.csv') 
+
+    # Print the first 10 rows of the csv file
+    print(csv_data.data.head(10))
+
+    # Load a parquet file, return a ParquetData object
+    parquet_data = Data('your_file.parquet')
+
+    # Sort the data by the name column
+    parquet_data.data.sort_values(by='name', inplace=True)
+
+    # Print the sorted first 10 rows of the parquet data
+    print(parquet_data.data.head(10))
+
+
+If the file type is not automatically identified (rare), you can specify them 
+specifically, see section Data Readers.
+
+Profile a File 
+~~~~~~~~~~~~~~
+
+Example uses a CSV file for example, but CSV, JSON, Avro or Parquet should also work.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load file (CSV should be automatically identified)
+    data = Data("your_file.csv") 
+
+    # Profile the dataset
+    profile = Profiler(data)
+
+    # Generate a report and use json to prettify.
+    report  = profile.report(report_options={"output_format": "pretty"})
+
+    # Print the report
+    print(json.dumps(report, indent=4))
+
+Updating Profiles
+~~~~~~~~~~~~~~~~~
+
+Currently, the data profiler is equipped to update its profile in batches.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load and profile a CSV file
+    data = Data("your_file.csv")
+    profile = Profiler(data)
+
+    # Update the profile with new data:
+    new_data = Data("new_data.csv")
+    profile.update_profile(new_data)
+
+    # Print the report using json to prettify.
+    report  = profile.report(report_options={"output_format": "pretty"})
+    print(json.dumps(report, indent=4))
+
+
+Merging Profiles
+~~~~~~~~~~~~~~~~
+
+If you have two files with the same schema (but different data), it is possible to merge the two profiles together via an addition operator. 
+
+This also enables profiles to be determined in a distributed manner.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load a CSV file with a schema
+    data1 = Data("file_a.csv")
+    profile1 = Profiler(data)
+
+    # Load another CSV file with the same schema
+    data2 = Data("file_b.csv")
+    profile2 = Profiler(data)
+
+    profile3 = profile1 + profile2
+
+    # Print the report using json to prettify.
+    report  = profile3.report(report_options={"output_format": "pretty"})
+    print(json.dumps(report, indent=4))
+
+
+Profile Differences
+~~~~~~~~~~~~~~~~~~~
+
+Profile differences take two profiles and find the differences
+between them. Create the difference report like this:
+
+.. code-block:: python
+
+    from dataprofiler import Data, Profiler
+    
+    # Load a CSV file
+    data1 = Data("file_a.csv")
+    profile1 = Profiler(data)
+    
+    # Load another CSV file
+    data2 = Data("file_b.csv")
+    profile2 = Profiler(data)
+    
+    diff_report = profile1.diff(profile2)
+    print(diff_report)
+    
+The `.diff()` operation is available between two profiles, although there are different
+outputs depending on the type of profile being differenced. For example, for numerical
+column profiles (e.g. integers and floats), two valuable calculations that 
+`.diff()` returns are `t-test`, `chi2-test`, and `psi` (Popoulation Stability Index)
+for understanding distributional changes.
+
+The difference report contains a dictionary that mirrors the profile report. 
+Each data type has its own difference:
+
+* **Int/Float** - One profile subtracts the value from the other.
+
+* **String** - The strings will be shown in a list:
+
+  - [profile1 str, profile2 str]
+* **List** - A list of 3 will be returned showing the unique values of
+  each profile and the shared values:
+
+  - [profile 1 unique values, shared values, profile 2 unique values]
+* **Dict** - Some dictionaries with varied keys will also return a list
+  of three in the format:
+
+  - [profile 1 unique key-values, shared key differences, profile 2 unique key-values]
+
+Otherwise, when no differences occur:
+
+* **Any Type No Differences** - A string will report: "unchanged".
+
+Below is the structured difference report:
+
+.. code-block:: python
+
+    {
+        'global_stats': {
+            'file_type': [str, str], 
+            'encoding': [str, str],
+            'samples_used': int, 
+            'column_count': int,
+            'row_count': int, 
+            'row_has_null_ratio': float,
+            'row_is_null_ratio': float,
+            'unique_row_ratio': float,
+            'duplicate_row_count': int,
+            'correlation_matrix': list[list[float]],
+            'chi2_matrix': list[list[float]],
+            'profile_schema': list[dict[str, int]]
+        },
+        'data_stats': [{
+            'column_name': str, 
+            'data_type': [str, str],
+            'data_label': [list[str], list[str], list[str]],
+            'categorical': [str, str],
+            'order': [str, str],
+            'statistics': {
+                'min': float,
+                'max': float,
+                'sum': float,
+                'mean': float,
+                'median': float,
+                'mode': [list[float], list[float], list[float]],
+                'median_absolute_deviation': float,
+                'variance': float,
+                'stddev': float,
+                't-test': {
+                    't-statistic': float,
+                    'conservative': {'df': int,
+                                     'p-value': float},
+                    'welch': {'df': float,
+                              'p-value': float}},
+                'psi': float,
+                "chi2-test": {
+                    "chi2-statistic": float,
+                    "df": int,
+                    "p-value": float
+                },
+                'unique_count': int,
+                'unique_ratio': float,
+                'categories': [list[str], list[str], list[str]],
+                'gini_impurity': float,
+                'unalikeability': float,
+                'categorical_count': [dict[str, int], dict[str, int], dict[str, int]],
+                'avg_predictions': [dict[str, float]],
+                'label_representation': [dict[str, float]],
+                'sample_size': int,
+                'null_count': int,
+                'null_types': [list[str], list[str], list[str]],
+                'null_types_index': [dict[str, int], dict[str, int], dict[str, int]],
+                'data_type_representation': [dict[str, float]]
+            },
+            "null_replication_metrics": {
+                "class_prior": list[int],
+                "class_sum": list[list[int]],
+                "class_mean": list[list[int]]
+            }
+        }
+        
+Below is the unstructured difference report:
+
+.. code-block:: python
+    
+    {
+        'global_stats': {
+            'file_type': [str, str], 
+            'encoding': [str, str], 
+            'samples_used': int, 
+            'empty_line_count': int, 
+            'memory_size': float
+        }, 
+        'data_stats': {
+            'data_label': {
+                'entity_counts': {
+                    'word_level': dict[str, int], 
+                    'true_char_level': dict[str, int], 
+                    'postprocess_char_level': dict[str, int]
+                }, 
+                'entity_percentages': {
+                    'word_level': dict[str, float], 
+                    'true_char_level': dict[str, float], 
+                    'postprocess_char_level': dict[str, float]
+                }
+            }, 
+            'statistics': {
+                'vocab': [list[str], list[str], list[str]], 
+                'vocab_count': [dict[str, int], dict[str, int], dict[str, int]], 
+                'words': [list[str], list[str], list[str]], 
+                'word_count': [dict[str, int], dict[str, int], dict[str, int]]
+            }
+        }
+    }
+    
+
+Saving and Loading a Profile
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The profiles can easily be saved and loaded as shown below:
+
+**NOTE: Json saving and loading only supports Structured Profiles currently.**
+
+There are two save/load methods:
+
+* **Pickle save/load**
+
+  * Save a profile as a `.pkl` file.
+  * Load a `.pkl` file as a profile object.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load a CSV file, with "," as the delimiter
+    data = Data("your_file.csv")
+
+    # Read data into profile
+    profile = Profiler(data)
+
+    # save structured profile to pkl file
+    profile.save(filepath="my_profile.pkl")
+
+    # load pkl file to structured profile
+    loaded_pkl_profile = dp.Profiler.load(filepath="my_profile.pkl")
+
+    print(json.dumps(loaded_pkl_profile.report(report_options={"output_format": "compact"}),
+                                           indent=4))
+
+* **Json save/load**
+
+  * Save a profile as a human-readable `.json` file.
+  * Load a `.json` file as a profile object.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load a CSV file, with "," as the delimiter
+    data = Data("your_file.csv")
+
+    # Read data into profile
+    profile = Profiler(data)
+
+    # save structured profile to json file
+    profile.save(filepath="my_profile.json", save_method="json")
+
+    # load json file to structured profile
+    loaded_json_profile = dp.Profiler.load(filepath="my_profile.json", load_method="json")
+
+    print(json.dumps(loaded_json_profile.report(report_options={"output_format": "compact"}),
+                                           indent=4))
+
+
+Structured vs Unstructured Profiles
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When using the profiler, the data profiler will automatically infer whether to
+create the structured profile or the unstructured profile. However, you can be 
+explicit as shown below: 
+
+.. code-block:: python
+    
+    import json
+    from dataprofiler import Data, Profiler
+    
+    # Creating a structured profile
+    data1 = Data("normal_csv_file.csv")
+    structured_profile = Profiler(data1, profiler_type="structured")
+    
+    structured_report = structured_profile.report(report_options={"output_format": "pretty"})
+    print(json.dumps(structured_report, indent=4))
+    
+    # Creating an unstructured profile
+    data2 = Data("normal_text_file.txt")
+    unstructured_profile = Profiler(data2, profiler_type="unstructured")
+    
+    unstructured_report = unstructured_profile.report(report_options={"output_format": "pretty"})
+    print(json.dumps(unstructured_report, indent=4))
+    
+
+Setting the Sample Size
+~~~~~~~~~~~~~~~~~~~~~~~
+
+There are two ways to set sample size in a profile: samples_per_update and 
+min_true_samples. Samples_per_update takes an integer as the exact amount that
+will be sampled. Min_true_samples will set the minimum amount of samples that
+are not null. For example:
+
+.. code-block:: python
+
+    from dataprofiler import Profiler
+    
+    sample_array = [1.0, NULL, 2.0]
+    profile = dp.Profiler(sample_array, samples_per_update=2) 
+    
+The first two samples (1.0 and NULL) are used for the statistical analysis.
+ 
+In contrast, if we also set min_true_samples to 2 then the Data Reader will 
+continue to read until the minimum true samples were found for the given column.
+For example: 
+
+.. code-block:: python
+
+    from dataprofiler import Profiler
+    
+    sample_array = [1.0, NULL, 2.0]
+    profile = dp.Profiler(sample_array, samples_per_update=2, min_true_samples=2)
+   
+This will use all samples in the statistical analysis until the number of "true" 
+(non-NULL) values are reached. Both min_true_samples and 
+samples_per_update conditions must be met. In this case, the profile will grab
+the first two samples (1.0 and NULL) to satisfy the samples_per_update, and then
+it will grab the first two VALID samples (1.0 and 2.0) to satisfy the 
+min_true_samples.
+
+Profile a Pandas DataFrame
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. code-block:: python
+
+    import pandas as pd
+    import dataprofiler as dp
+    import json
+
+    my_dataframe = pd.DataFrame([[1, 2.0],[1, 2.2],[-1, 3]])
+    profile = dp.Profiler(my_dataframe)
+
+    # print the report using json to prettify.
+    report = profile.report(report_options={"output_format": "pretty"})
+    print(json.dumps(report, indent=4))
+
+    # read a specified column, in this case it is labeled 0:
+    print(json.dumps(report["data stats"][0], indent=4))
+
+
+Specifying a Filetype or Delimiter
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Example of specifying a CSV data type, with a `,` delimiter.
+In addition, it utilizes only the first 10,000 rows.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+    from dataprofiler.data_readers.csv_data import CSVData
+
+    # Load a CSV file, with "," as the delimiter
+    data = CSVData("your_file.csv", options={"delimiter": ","})
+
+    # Split the data, such that only the first 10,000 rows are used
+    data = data.data[0:10000]
+
+    # Read in profile and print results
+    profile = Profiler(data)
+    print(json.dumps(profile.report(report_options={"output_format": "pretty"}), indent=4))
+
+Setting Profiler Seed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Example of specifying a seed for reproducibility.
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    # Set seed to non-negative integer value or None
+    dp.set_seed(0)
+
+
+Profile Statistic Descriptions
+==============================
+
+Structured Profile
+~~~~~~~~~~~~~~~~~~
+
+**global_stats**:
+
+* samples_used - number of input data samples used to generate this profile
+* column_count - the number of columns contained in the input dataset
+* row_count - the number of rows contained in the input dataset
+* row_has_null_ratio - the proportion of rows that contain at least one null value to the total number of rows
+* row_is_null_ratio - the proportion of rows that are fully comprised of null values (null rows) to the total number of rows
+* unique_row_ratio - the proportion of distinct rows in the input dataset to the total number of rows
+* duplicate_row_count - the number of rows that occur more than once in the input dataset
+* file_type - the format of the file containing the input dataset (ex: .csv)
+* encoding - the encoding of the file containing the input dataset (ex: UTF-8)
+* correlation_matrix - matrix of shape `column_count` x `column_count` containing the correlation coefficients between each column in the dataset 
+* chi2_matrix - matrix of shape `column_count` x `column_count` containing the chi-square statistics between each column in the dataset
+* profile_schema - a description of the format of the input dataset labeling each column and its index in the dataset
+    * string - the label of the column in question and its index in the profile schema
+* times - the duration of time it took to generate the global statistics for this dataset in milliseconds
+
+**data_stats**:
+
+* column_name - the label/title of this column in the input dataset
+* data_type - the primitive python data type that is contained within this column
+* data_label - the label/entity of the data in this column as determined by the Labeler component
+* categorical - 'true' if this column contains categorical data
+* order - the way in which the data in this column is ordered, if any, otherwise “random”
+* samples - a small subset of data entries from this column
+* statistics - statistical information on the column
+    * sample_size - number of input data samples used to generate this profile
+    * null_count - the number of null entries in the sample
+    * null_types - a list of the different null types present within this sample
+    * null_types_index - a dict containing each null type and a respective list of the indicies that it is present within this sample
+    * data_type_representation - the percentage of samples used identifying as each data_type
+    * min - minimum value in the sample
+    * max - maximum value in the sample
+    * mode - mode of the entries in the sample
+    * median - median of the entries in the sample
+    * median_absolute_deviation - the median absolute deviation of the entries in the sample
+    * sum - the total of all sampled values from the column
+    * mean - the average of all entries in the sample
+    * variance - the variance of all entries in the sample
+    * stddev - the standard deviation of all entries in the sample
+    * skewness - the statistical skewness of all entries in the sample
+    * kurtosis - the statistical kurtosis of all entries in the sample
+    * num_zeros - the number of entries in this sample that have the value 0
+    * num_negatives - the number of entries in this sample that have a value less than 0
+    * histogram - contains histogram relevant information
+        * bin_counts - the number of entries within each bin
+        * bin_edges - the thresholds of each bin
+    * quantiles - the value at each percentile in the order they are listed based on the entries in the sample
+    * vocab - a list of the characters used within the entries in this sample
+    * avg_predictions - average of the data label prediction confidences across all data points sampled
+    * categories - a list of each distinct category within the sample if `categorial` = 'true'
+    * unique_count - the number of distinct entries in the sample
+    * unique_ratio - the proportion of the number of distinct entries in the sample to the total number of entries in the sample
+    * categorical_count - number of entries sampled for each category if `categorical` = 'true'
+    * gini_impurity - measure of how often a randomly chosen element from the set would be incorrectly labeled if it was randomly labeled according to the distribution of labels in the subset
+    * unalikeability - a value denoting how frequently entries differ from one another within the sample
+    * precision - a dict of statistics with respect to the number of digits in a number for each sample
+    * times - the duration of time it took to generate this sample's statistics in milliseconds
+    * format - list of possible datetime formats
+* null_replication_metrics - statistics of data partitioned based on whether column value is null (index 1 of lists referenced by dict keys) or not (index 0)
+    * class_prior - a list containing probability of a column value being null and not null
+    * class_sum - a list containing sum of all other rows based on whether column value is null or not
+    * class_mean - a list containing mean of all other rows based on whether column value is null or not
+
+Unstructured Profile
+~~~~~~~~~~~~~~~~~~~~
+
+**global_stats**:
+
+* samples_used - number of input data samples used to generate this profile
+* empty_line_count - the number of empty lines in the input data
+* file_type - the file type of the input data (ex: .txt)
+* encoding - file encoding of the input data file (ex: UTF-8)
+* memory_size - size of the input data in MB
+* times - duration of time it took to generate this profile in milliseconds
+
+**data_stats**:
+
+* data_label - labels and statistics on the labels of the input data
+    * entity_counts - the number of times a specific label or entity appears inside the input data
+        * word_level - the number of words counted within each label or entity
+        * true_char_level - the number of characters counted within each label or entity as determined by the model
+        * postprocess_char_level - the number of characters counted within each label or entity as determined by the postprocessor
+    * entity_percentages - the percentages of each label or entity within the input data
+        * word_level - the percentage of words in the input data that are contained within each label or entity
+        * true_char_level - the percentage of characters in the input data that are contained within each label or entity as determined by the model
+        * postprocess_char_level - the percentage of characters in the input data that are contained within each label or entity as determined by the postprocessor
+    * times - the duration of time it took for the data labeler to predict on the data
+* statistics - statistics of the input data
+    * vocab - a list of each character in the input data
+    * vocab_count - the number of occurrences of each distinct character in the input data
+    * words - a list of each word in the input data
+    * word_count - the number of occurrences of each distinct word in the input data
+    * times - the duration of time it took to generate the vocab and words statistics in milliseconds
+
+Graph Profile
+~~~~~~~~~~~~~~~~~~
+
+* num_nodes - number of nodes in the graph
+* num_edges - number of edges in the graph
+* categorical_attributes - list of categorical edge attributes
+* continuous_attributes - list of continuous edge attributes
+* avg_node_degree - average degree of nodes in the graph
+* global_max_component_size: size of the global max component
+
+**continuous_distribution**:
+
+* <attribute_N>: name of N-th edge attribute in list of attributes
+    * name - name of distribution for attribute
+    * scale - negative log likelihood used to scale and compare distributions
+    * properties - list of statistical properties describing the distribution
+        * [shape (optional), loc, scale, mean, variance, skew, kurtosis]
+
+**categorical_distribution**:
+
+* <attribute_N>: name of N-th edge attribute in list of attributes
+    * bin_counts: counts in each bin of the distribution histogram
+    * bin_edges: edges of each bin of the distribution histogram
+
+* times - duration of time it took to generate this profile in milliseconds
+
+Profile Options
+===============
+
+The data profiler accepts several options to toggle on and off 
+features. The 8 columns (int options, float options, datetime options,
+text options, order options, category options, data labeler options) can be 
+enabled or disabled. By default, all options are toggled on. Below is an example
+of how to alter these options. Options shared by structured and unstructured options
+must be specified as structured or unstructured when setting (ie. datalabeler options).
+
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler, ProfilerOptions
+
+    # Load and profile a CSV file
+    data = Data("your_file.csv")
+    profile_options = ProfilerOptions()
+
+    #All of these are different examples of adjusting the profile options
+
+    # Options can be toggled directly like this:
+    profile_options.structured_options.text.is_enabled = False
+    profile_options.structured_options.text.vocab.is_enabled = True
+    profile_options.structured_options.int.variance.is_enabled = True
+    profile_options.structured_options.data_labeler.data_labeler_dirpath = \
+        "Wheres/My/Datalabeler"
+    profile_options.structured_options.data_labeler.is_enabled = False
+
+    # A dictionary can be sent in to set the properties for all the options
+    profile_options.set({"structured_options.data_labeler.is_enabled": False, "min.is_enabled": False})
+
+    # Specific columns can be set/disabled/enabled in the same way
+    profile_options.structured_options.text.set({"max.is_enabled":True, 
+                                             "variance.is_enabled": True})
+
+    # numeric stats can be turned off/on entirely
+    profile_options.set({"is_numeric_stats_enabled": False})
+    profile_options.set({"int.is_numeric_stats_enabled": False})
+
+    profile = Profiler(data, options=profile_options)
+
+    # Print the report using json to prettify.
+    report  = profile.report(report_options={"output_format": "pretty"})
+    print(json.dumps(report, indent=4))
+
+
+Below is an breakdown of all the options.
+
+* **ProfilerOptions** - The top-level options class that contains options for the Profiler class
+
+  * **presets** - A pre-configured mapping of a string name to group of options:
+
+    * **default is None**
+
+    * **"complete"**
+
+    .. code-block:: python
+
+        options = ProfilerOptions(presets="complete")
+
+    * **"data_types"**
+
+    .. code-block:: python
+
+        options = ProfilerOptions(presets="data_types")
+
+    * **"numeric_stats_disabled"**
+
+    .. code-block:: python
+
+        options = ProfilerOptions(presets="numeric_stats_disabled")
+
+    * **"lower_memory_sketching"**
+
+    .. code-block:: python
+
+        options = ProfilerOptions(presets="lower_memory_sketching")
+
+  * **structured_options** - Options responsible for all structured data
+
+    * **multiprocess** - Option to enable multiprocessing. If on, multiprocessing is toggled on if the dataset contains more than 750,000 rows or more than 20 columns.
+      Automatically selects the optimal number of pooling processes to utilize based on system constraints when toggled on.
+
+      * is_enabled - (Boolean) Enables or disables multiprocessing
+
+    * **sampling_ratio** - A percentage, as a decimal, ranging from greater than 0 to less than or equal to 1 indicating how much input data to sample. Default value set to 0.2.
+
+    * **int** - Options for the integer columns
+
+      * is_enabled - (Boolean) Enables or disables the integer operations
+      * min - Finds minimum value in a column
+
+      * is_enabled - (Boolean) Enables or disables min
+      * max - Finds maximum value in a column
+
+        * is_enabled - (Boolean) Enables or disables max
+      * mode - Finds mode(s) in a column
+
+        * is_enabled - (Boolean) Enables or disables mode
+        * top_k_modes - (Int) Sets the number of modes to return if multiple exist. Default returns max 5 modes.
+      * median - Finds median value in a column
+
+        * is_enabled - (Boolean) Enables or disables median
+      * sum - Finds sum of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables sum
+
+      * variance - Finds variance of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables variance
+      * skewness - Finds skewness of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables skewness
+      * kurtosis - Finds kurtosis of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables kurtosis
+      * median_abs_deviation - Finds median absolute deviation of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables median absolute deviation
+      * num_zeros - Finds the count of zeros in a column
+
+        * is_enabled - (Boolean) Enables or disables num_zeros
+      * num_negatives - Finds the count of negative numbers in a column
+
+        * is_enabled - (Boolean) Enables or disables num_negatives
+      * bias_correction - Applies bias correction to variance, skewness, and kurtosis calculations
+
+        * is_enabled - (Boolean) Enables or disables bias correction
+      * histogram_and_quantiles - Generates a histogram and quantiles
+        from the column values
+
+        * bin_count_or_method - (String/List[String]) Designates preferred method for calculating histogram bins or the number of bins to use.  
+          If left unspecified (None) the optimal method will be chosen by attempting all methods.  
+          If multiple specified (list) the optimal method will be chosen by attempting the provided ones.  
+          methods: 'auto', 'fd', 'doane', 'scott', 'rice', 'sturges', 'sqrt'  
+          Note: 'auto' is used to choose optimally between 'fd' and 'sturges'
+        * num_quantiles - (Int) Number of quantiles to bin the data. 
+          Default value is set to 1,000 quantiles.
+        * is_enabled - (Boolean) Enables or disables histogram and quantiles
+    * **float** - Options for the float columns
+
+      * is_enabled - (Boolean) Enables or disables the float operations
+      * precision - Finds the precision (significant figures) within the column
+
+        * is_enabled - (Boolean) Enables or disables precision
+      * sample_ratio - (Float) The ratio of 0 to 1 how much data (identified as floats) to utilize as samples in determining precision
+
+      * min - Finds minimum value in a column
+
+        * is_enabled - (Boolean) Enables or disables min
+      * max - Finds maximum value in a column
+
+        * is_enabled - (Boolean) Enables or disables max
+      * mode - Finds mode(s) in a column
+
+        * is_enabled - (Boolean) Enables or disables mode
+        * top_k_modes - (Int) Sets the number of modes to return if multiple exist. Default returns max 5 modes.
+      * median - Finds median value in a column
+
+        * is_enabled - (Boolean) Enables or disables median
+      * sum - Finds sum of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables sum
+      * variance - Finds variance of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables variance
+      * skewness - Finds skewness of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables skewness
+      * kurtosis - Finds kurtosis of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables kurtosis
+      * median_abs_deviation - Finds median absolute deviation of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables median absolute deviation
+      * is_numeric_stats_enabled - (Boolean) enable or disable all numeric stats
+      * num_zeros - Finds the count of zeros in a column
+
+        * is_enabled - (Boolean) Enables or disables num_zeros
+      * num_negatives - Finds the count of negative numbers in a column
+
+        * is_enabled - (Boolean) Enables or disables num_negatives
+      * bias_correction - Applies bias correction to variance, skewness, and kurtosis calculations
+
+        * is_enabled - (Boolean) Enables or disables bias correction
+      * histogram_and_quantiles - Generates a histogram and quantiles
+        from the column values
+
+        * bin_count_or_method - (String/List[String]) Designates preferred method for calculating histogram bins or the number of bins to use.  
+          If left unspecified (None) the optimal method will be chosen by attempting all methods.  
+          If multiple specified (list) the optimal method will be chosen by attempting the provided ones.  
+          methods: 'auto', 'fd', 'doane', 'scott', 'rice', 'sturges', 'sqrt'  
+          Note: 'auto' is used to choose optimally between 'fd' and 'sturges'
+        * num_quantiles - (Int) Number of quantiles to bin the data. 
+          Default value is set to 1,000 quantiles.
+        * is_enabled - (Boolean) Enables or disables histogram and quantiles        
+    * **text** - Options for the text columns
+
+      * is_enabled - (Boolean) Enables or disables the text operations
+      * vocab - Finds all the unique characters used in a column
+
+        * is_enabled - (Boolean) Enables or disables vocab
+      * min - Finds minimum value in a column
+
+        * is_enabled - (Boolean) Enables or disables min
+      * max - Finds maximum value in a column
+
+        * is_enabled - (Boolean) Enables or disables max
+      * mode - Finds mode(s) in a column
+
+        * is_enabled - (Boolean) Enables or disables mode
+        * top_k_modes - (Int) Sets the number of modes to return if multiple exist. Default returns max 5 modes.
+      * median - Finds median value in a column
+
+        * is_enabled - (Boolean) Enables or disables median
+      * sum - Finds sum of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables sum
+      * variance - Finds variance of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables variance
+      * skewness - Finds skewness of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables skewness
+      * kurtosis - Finds kurtosis of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables kurtosis
+      * median_abs_deviation - Finds median absolute deviation of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables median absolute deviation
+      * bias_correction - Applies bias correction to variance, skewness, and kurtosis calculations
+
+        * is_enabled - (Boolean) Enables or disables bias correction
+      * is_numeric_stats_enabled - (Boolean) enable or disable all numeric stats
+      * num_zeros - Finds the count of zeros in a column
+
+        * is_enabled - (Boolean) Enables or disables num_zeros
+      * num_negatives - Finds the count of negative numbers in a column
+
+        * is_enabled - (Boolean) Enables or disables num_negatives
+      * histogram_and_quantiles - Generates a histogram and quantiles
+        from the column values
+
+        * bin_count_or_method - (String/List[String]) Designates preferred method for calculating histogram bins or the number of bins to use.  
+          If left unspecified (None) the optimal method will be chosen by attempting all methods.  
+          If multiple specified (list) the optimal method will be chosen by attempting the provided ones.  
+          methods: 'auto', 'fd', 'doane', 'scott', 'rice', 'sturges', 'sqrt'  
+          Note: 'auto' is used to choose optimally between 'fd' and 'sturges'
+        * num_quantiles - (Int) Number of quantiles to bin the data. 
+          Default value is set to 1,000 quantiles.
+        * is_enabled - (Boolean) Enables or disables histogram and quantiles  
+    * **datetime** - Options for the datetime columns
+
+      * is_enabled - (Boolean) Enables or disables the datetime operations
+    * **order** - Options for the order columns
+
+      * is_enabled - (Boolean) Enables or disables the order operations
+    * **category** - Options for the category columns
+
+      * is_enabled  - (Boolean) Enables or disables the category operations
+      * top_k_categories - (int) Number of categories to be displayed when reporting
+      * max_sample_size_to_check_stop_condition - (int) The maximum sample size before categorical stop conditions are checked
+      * stop_condition_unique_value_ratio - (float) The highest ratio of unique values to dataset size that is to be considered a categorical type
+      * cms - (Boolean) Enables or Disables the use of count min sketch / heavy hitters for approximate frequency counts
+      * cms_confidence - (float) Defines the number of hashes used in CMS, default 0.95
+      * cms_relative_error - (float) Defines the number of buckets used in CMS, default 0.01
+      * cms_max_num_heavy_hitters - (int) The value used to define the threshold for minimum frequency required by a category to be counted
+    * **data_labeler** - Options for the data labeler columns
+
+      * is_enabled - (Boolean) Enables or disables the data labeler operations
+      * data_labeler_dirpath - (String) Directory path to data labeler
+      * data_labeler_object - (BaseDataLabeler) Datalabeler to replace 
+        the default labeler 
+      * max_sample_size - (Int) The max number of samples for the data
+        labeler
+    * **correlation** - Option set for correlation profiling
+      * is_enabled - (Boolean) Enables or disables performing correlation profiling
+      * columns - Columns considered to calculate correlation
+    * **row_statistics** - (Boolean) Option to enable/disable row statistics calculations
+
+      * unique_count - (UniqueCountOptions) Option to enable/disable unique row count calculations
+
+        * is_enabled - (Bool) Enables or disables options for unique row count
+        * hashing_method - (String) Property to specify row hashing method ("full" | "hll")
+        * hll - (HyperLogLogOptions) Options for alternative method of estimating unique row count (activated when `hll` is the selected hashing_method)
+
+          * seed - (Int) Used to set HLL hashing function seed
+          * register_count - (Int) Number of registers is equal to 2^register_count
+
+      * null_count - (Boolean) Option to enable/disable functionalities for row_has_null_ratio and row_is_null_ratio
+    * **chi2_homogeneity** - Options for the chi-squared test matrix
+
+      * is_enabled - (Boolean) Enables or disables performing chi-squared tests for homogeneity between the categorical columns of the dataset.
+    * **null_replication_metrics** - Options for calculating null replication metrics
+
+      * is_enabled - (Boolean) Enables or disables calculation of null replication metrics
+  * **unstructured_options** - Options responsible for all unstructured data
+
+    * **text** - Options for the text profile
+      
+      * is_case_sensitive - (Boolean) Specify whether the profile is case sensitive
+      * stop_words - (List of Strings) List of stop words to be removed when profiling
+      * top_k_chars - (Int) Number of top characters to be retrieved when profiling
+      * top_k_words - (Int) Number of top words to be retrieved when profiling
+      * vocab - Options for vocab count
+
+        * is_enabled - (Boolean) Enables or disables the vocab stats
+      * words - Options for word count
+
+        * is_enabled - (Boolean) Enables or disables the word stats
+    * **data_labeler** - Options for the data labeler
+
+      * is_enabled - (Boolean) Enables or disables the data labeler operations
+      * data_labeler_dirpath - (String) Directory path to data labeler
+      * data_labeler_object - (BaseDataLabeler) Datalabeler to replace 
+        the default labeler 
+      * max_sample_size - (Int) The max number of samples for the data 
+        labeler
+    
+
+
+Statistical Dependency on Order of Updates
+==========================================
+
+Some profile features/statistics are dependent on the order in which the profiler
+is updated with new data.
+
+Order Profile
+~~~~~~~~~~~~~
+
+The order profiler utilizes the last value in the previous data batch to ensure
+the subsequent dataset is above/below/equal to that value when predicting
+non-random order.
+
+For instance, a dataset to be predicted as ascending would require the following
+batch data update to be ascending and its first value `>=` than that of the
+previous batch of data.
+
+Ex. of ascending:
+
+.. code-block:: python
+
+    batch_1 = [0, 1, 2]
+    batch_2 = [3, 4, 5]
+
+Ex. of random:
+
+.. code-block:: python
+
+    batch_1 = [0, 1, 2]
+    batch_2 = [1, 2, 3] # notice how the first value is less than the last value in the previous batch
+
+
+Reporting Structure
+===================
+
+For every profile, we can provide a report and customize it with a couple optional parameters:
+
+* output_format (string)
+
+  * This will allow the user to decide the output format for report.
+
+    * Options are one of [pretty, compact, serializable, flat]:
+
+      * Pretty: floats are rounded to four decimal places, and lists are shortened.
+      * Compact: Similar to pretty, but removes detailed statistics such as runtimes, label probabilities, index locations of null types, etc.
+      * Serializable: Output is json serializable and not prettified
+      * Flat: Nested output is returned as a flattened dictionary
+* num_quantile_groups (int)
+
+  * You can sample your data as you like! With a minimum of one and a maximum of 1000, you can decide the number of quantile groups!
+
+.. code-block:: python
+
+    report  = profile.report(report_options={"output_format": "pretty"})
+    report  = profile.report(report_options={"output_format": "compact"})
+    report  = profile.report(report_options={"output_format": "serializable"})
+    report  = profile.report(report_options={"output_format": "flat"})
diff --git a/docs/0.10.5/html/_sources/profiler_example.nblink.txt b/docs/0.10.5/html/_sources/profiler_example.nblink.txt
new file mode 100644
index 000000000..8b1612784
--- /dev/null
+++ b/docs/0.10.5/html/_sources/profiler_example.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/structured_profilers.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/regex_labeler_from_scratch.nblink.txt b/docs/0.10.5/html/_sources/regex_labeler_from_scratch.nblink.txt
new file mode 100644
index 000000000..a0d3fe033
--- /dev/null
+++ b/docs/0.10.5/html/_sources/regex_labeler_from_scratch.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/regex_labeler_from_scratch/DataLabeler_from_scratch.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.5/html/_sources/roadmap.rst.txt b/docs/0.10.5/html/_sources/roadmap.rst.txt
new file mode 100644
index 000000000..93886690b
--- /dev/null
+++ b/docs/0.10.5/html/_sources/roadmap.rst.txt
@@ -0,0 +1,58 @@
+.. _roadmap:
+
+Roadmap
+*******
+
+For more detailed tasks, checkout the repo's github issues page here: 
+`Github Issues <https://github.com/capitalone/DataProfiler/issues>`_.
+
+
+Data Reader Updates
+===================
+- Read data from S3 bucket
+    - All in the current `dp.Data()` API paradigm, we want to enable passing an S3 bucket file path to read in data from AWS s3.
+- Pass list of data file paths to data reader
+- Pass in linst of data frames to data reader 
+
+New Model
+=========
+- Transformer model from sensitive data detection
+
+Historical Profiles 
+===================
+- Some questions about Historical Profiles / need to step back and rething design to start:
+    - Meta profile on top?
+    - Stored windowed info inside? Etc...
+- Branch with current state of Historical Profiles
+- Two example notebooks of current state: 
+    - Notebook example `one <https://github.com/capitalone/DataProfiler/blob/feature/historical_profiler/examples/historical_profiler.ipynb>`_.
+    - Notebook example `two <https://github.com/capitalone/DataProfiler/blob/feature/historical_profiler/examples/WIP_historical_profiler_advanced.ipynb>`_.
+
+
+Conditional Report Metric
+=========================
+- Based on what is populated on other metrics in the report, have "secondary" / "derivatives" of that number (or that number in conjunction with another number) populate in thie report as well.
+- For example, if null_count is not None, then populate a null_percent key with a value of the dividence of (null_count / sample_count).
+
+Space / Time Testing
+====================
+- Automatic comparison testing for space and time analysis on PR’s
+    - Standardize a report for space time analysis for future comparisons (create baseline numbers)
+    - Include those in integration tests that will automatically run on code when it is changed in PRs
+- Could be an optional test, if the user thinks there is concern around the change driving an issue in the library performance 
+
+Testing Suite Upgrades
+======================
+- Add mocking to unit tests where mocking is not utilized
+- Integration testing separated out from the unit testing suite. Determine how to only run remotely during PRs
+- Backward compatibility testing along with informative warnings and errors when a user is utilizing incompatible versions of the library and saved profile object
+
+Historical Versions
+===================
+- Legacy version upgrades to enable patches to prior versions of the Data Profiler 
+
+Miscellaneous
+==============
+- Refact/or Pandas to Polars DataFrames
+- Spearman correlation calculation
+- Workflow Profiles
diff --git a/docs/0.10.5/html/_sources/unstructured_profiler_example.nblink.txt b/docs/0.10.5/html/_sources/unstructured_profiler_example.nblink.txt
new file mode 100644
index 000000000..1589c41d4
--- /dev/null
+++ b/docs/0.10.5/html/_sources/unstructured_profiler_example.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/unstructured_profilers.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.5/html/_static/DataProfilerLogoLightTheme.png b/docs/0.10.5/html/_static/DataProfilerLogoLightTheme.png
new file mode 100644
index 0000000000000000000000000000000000000000..35e59c3497b6cd5ef9248b9e075b3af25a7779e8
GIT binary patch
literal 118089
zcmeFYby!r<_dYtLgtUaxEjb7x-6b8;HA;wdcMKs?(%s!H-5>(eCEeX2T{CkB_4ECH
zf4_V0zxTP%b1yQ_9M0MM?6db?>s{}=)-gmyNd^n!1qJ{Bz><9{sRjTb-T(kdsA#D0
zGeN_r!T`WiBXbD}6<G-hDisIYkLFgU0KnUjc&#Ve@3csTT}@)D5b>h$uJBC>M5WPK
z{CyR~)Wz}NlDuL-CgjmAdA~#xN>Cp9Qn%dqmtU|mQI9owkDpvVQE8*ftupGTBasZ4
zXNKcw>WP=Y&Z4I<;DY~_QwO00M>M<kZ3YQp?~BZgE*fWqXGw_6b^uf_Kk;7Kx4|e;
zs5>2#2L}MvVXZ~=dT0|A)UWbV4Gkd5Nj*Zuj2wvD0Ps!3Fgc?E1g}Ne3Y5Ps_-+&&
zzR4jPY*uVnfeO@Gv%*@gNRU<96kkLJB=_zNIwFi&2Y6{#QxVUPdm~r3sK1Ox%rZl^
zuM!<17EgQnJNWx|CT2k#BgU7&05{?vhlfC`ZRoJiRg|}|h%1`qnHm9~eohqOso6tj
z{_Tpob{5&i8sLc{YowC;7LKJG7g+8q#w68o^vAxQQVXo#dLb(BTmdR2+RxK-qGg6r
zFxbl|--{ozZwB>=T4CGg)l#u*4vvmQOP*1EX+cS6XIiJXbS4gYh9|3=O1k+Df8&XL
zMB3o^{`C2lMF;ck8&e+)8B17!_7BopSczm>8tN-Tz*k*X+3)~uVk259AGNR2s5MM@
zjvJ_^n*)*>4=%VhQWHfS;ohuVG8D;0@ri`YsOLQcKkyCHh_nbpVsp7KyIe4D_HPua
zY;a}ym;ziRLw{EXG@(hY;iW8AyF|a1N(H(oYd%XTnmURnr2DjG|E-8huBX9oRzWo_
zZ>mRzxNEq$I<jvd6hDUBeqG1?;T3v{+o=&QW+N3@l`npT6$i>Df~=>qG0sE2P6)CW
z)srSs<i*-FvGCWIq0fY4MbU4NXz)~??gbWWNoA3oiD27vEAvF<8nS6xZU*$>68n>=
z0KhC$x)ap4#jALmZ=q`j0An^^iMlIgiYE?6b!1yv1_{eqbg%qLl)f@Z<EPtm36kLa
zFka(&hOL|yevc!4uaj|_G$!UI+9<tCx0u4p6b~jG)E+}WlCj_#fpQuzBFtZOb)Qmw
zBG>IrZhUUn-Ih&>O@SzMFUqb(+Q95O-O=y(G5}~%5ue-mPGx{Y?q$!OrJ@0`K_)dz
zNvMwwrDEBfgvJ(jxz|zVy;ORjUBs;}zTRi@A4<lIRW-ACWq4Ip8`=ae2m&SFB|LYd
zJ#er*<kkCPagN}ViLAUVF3J1eHqy2L32?!B7E(Z5j7{PiYV}1whK1e8epO5K$GR*E
ztxT2Rl8_KU#rxgs%Hl+Y%Lc>`8TUhac4)p?#z;s=BHr6QovwFcGHyda?`^&c-;?z<
zK-wI$%0L*mp#CLQXM-PwplU%U{wyM6QZ(Z!iXYW8N#9pg6m$Vj9O%<JPp@mp6p(5<
zy;M+{I~}S}%buimy{W=HM0p}g%ZsSwo7v@Vhpvy*um;^j92Et+Vcp>&Q&T&A_DiDC
z3>I1sb)&JOBMA{Tik74!?-zH#W6F{INR1hVVM70nVlMO-jR;jxG{H}uJfx<;MVaR4
zj;QOGUnW#&e<3=H%4A!`1@vb1?@GQVP7h7U!W_^4M5r5ZEJiv;u<L&DVm?Gz;-15I
z@4dp%3&-wR65_Bv&MGp6h~ch*YPmAh(!P{65pR@(A0Ab%ym)4-tczI3Yo7#Bh*#hJ
z=DWf75^Be^?OZrzx$$l#hDl}-453$i1|UXqWJJj)Nx!63$9KWS##8E={3Ye4NQa*+
zDU(Af7{2#Ia9v>?e_eWA*a)*a;3jHTh9+7;wjz&8O)x~6nI=AZI{GRqB9=Y2`K@g~
zzX{7XM!uLdv4j};{`k$MP2<hMO~y^1P~n~oe9@3XG$yW>gD)4DhU3EG*yTi~eD~jC
z<uJTEFFG&Q_~o(Bv`@Y-PfkuwN)Ar9=f_WX=hxuBcOKbYoN<@o%4-^HtW`*fsgJ9V
zofdDA@{}!{B;U=xc<O=Y&D56Q6XO#J)lAG5P)jUi`ITO(SH6(tsdL>#AvJ0knad+v
zDOss@lC><=M&TXW9w4lhSt%mZp$n^mVnKwFzW4=+wTfkT;Rh_Cnqg(Uh<Qr>l=f-h
z7fh^%=NYfPes+@7KV_Hb)b5-e;qBSwq<O*j;`i6HugqVsUeu9Zz94<!Nm}?qnWy57
zu*G8kk0fjbiW=XhukOC?>9;;fJscw(<5fM~`#}a2SG^{UvPB_3^A=4q`?+JU3s@)7
zCcP#J3&IOrhwZqCYwSNx4!ucE=RA0B^IFiZ@x9yaDN;9>TV~i`h+x<(#g?n%{j%8y
zb39Y(8f`QCiJZO|^XC@HW=->FNu~{i-ORIcMs@T1jZ-JA#za9Hoh3$f)gI-;<+<hY
z)9@83zqcl{R<n|`zM5OC%b)*d?P#U7P(Ob)uQL~3mujkIc3mpelVJ_42U&vWq2U3!
z5-Hsc*x}g9<cehO5%dwx5w2;wO4Lg4(k;>|_zBYIMs7z)(}7J{?859ui57`r6-A|$
zr9Yf=E&I^Eqrvbd@VIGh8pjuTZF+2+ZLVcFWqKo6$>(^_ZeO;jKF`(s$}hAZ+Y;&N
zckgn&K=FmbSWr$VMF@K4^!u5crl;X$j;EBz@TJ9>$J)_8+u8D__hir-*Yu8Fre<bj
zyHC5ripPqLh(HHx2bK@dtn?xB75>$8us=8nrVpcqo*;T5g(6}jKRn+hN}_BOINkfy
zH=Z-TAS3eh8~XYaYpngJA5qLuY|)ROR%5RP{rW73R)<CS<rvNTyZ!d2{gqutP*YHU
zH+Ep#8mgU{qu%%G)1uR}(<`*@;JDyRylWb38b{g#8qZv>oR89Vk_0)%Ia-n{t2(F1
zt-6LMBpt76`f7W|jAD$Y`vilXL*o11L`wBVJa4f$Oy|AlHP<&54BqLf4DCo=P2%8Q
zE42S%kG@gTC!}=oHZ9(bKP37!pSkPA!DiK_X@A4JG_^RU@?wwT<l?$w+llX!ngz}g
zl-xd7H|KjF_hK#zo~lV(^hSJbN5><WR@fc5=w}^l6&|-=zX&m7Ojcx0a&r2%Yy#a3
z(D__eTehS_dGq_>g%9Wr&{M*t(w9Y>#f{-9VFi&(n7<^8l(K`rgXXs2FxG%U`~n*`
zo>r(QoqoSZe^~2o>#)1+*~Yo+HqNs=!b281;*W$B2`}W%^R3^p7Aj;;P&>xQ_wyH`
zDj0CpX;ILwWQ#r{AXJo+K0Wgh+sk{9cJJVAY;3+cs{LjDq>xl0QK^HY+q8H6xw0IM
ze0yfd=(8cKbW<TqXxV)YUrob^*tW^2dAg;5>)K+4yXv{iaN)>kCQQEAb8lcm3v+_#
zHLzBj*LJPjHmALqWs)s6ap~sG>B4Z>sZ@;AQCJ&MrQSoazP3-r_qLpG>)rTWF^((l
zURsw+ofB#KM}uC8*1Agi>;^vGQa?itSg<q`%Dfsa4okjFl}&Axg36Oyx2^JBx3=qk
z)eY38YgB6}9vn`yfv!Kaxk2jotM<J~hj>_*Pe10`ZEPuKr|$FUSyjwF_=K4Z4wtLy
zky?;hFgM^e5ZZdS3OV2Joy@Jw9CIwFR&Q)5?Tw5WgtW|CKrAd>Q%?*vgQl4dny*cc
zn`(KyY~Qu%L8iTjyb15Se72w~;GcJEcYaAo<xl3G9Dr+K_TALI*=MMEAEYI0a~rE`
znA(arPLsOJhy8|wd|up6j?hlaltjLuG;sOqVYOE6w?W@`uWQ04#OR<bXqCR`ald&J
ztF_QuSC<*e=e)i1GgCQZJ5AV!VRtCH2Ehy`(>T*o@Wiuy&3`mdqT}Ylp=hb0Z7pY|
zr$8Q>m?9wUO4dT=aQh?vltl!zWgrA*JJ#*Hj62}5HCf(mWoo^>(CjKF?jVBAgFTnY
zzo(zI+_|!xB(Id-4&OF-r?;oeoCK|OoKo#|9R>LZjZ!dCc<<`oBtaX`LZ)Kp3p11>
zon%}<ci!Jm3`R{x?>q;f95=?@j)glS(C2qMfy=+!41k+JRH*LR#KqQ#)^erpJ^tNs
z8@tyMtl*)1Z^7VX_C%>e*%Ouro_{hCR1!HtnJUub)y$>B%R#j<c)MQ;Kz))Di_{4c
zK*%aY>TE<l!6A4pl$nC7m{}sdD)K=QRKx%R?62iDS2*ecW^sZfikj&WN=iK(UW&H0
ze)*E{jL$IRh2HDg-?+=zPg`pNzQ3M!%G`E}!g~GuBCBM2Y!JpcH6|@fg3&w!*h&nE
z7j?PqDQ-evd+!qS`3NCtATO^T+=66Cg9p1T39jIxBf(T#_M@UAfEj*_20%f;2Oz<Z
z5a9m+2rmFAe~tkFIRw)GI#xq?`L7KkT(g)1kpH#Og?~T(M8QAs-v7RlV!i;L!2iOB
ze?Dg+{--tKO%~FBj*%Y44?yglgsd$5`<=0asi}?QCtIiPNQN!=33R)+I*tGU5&h!_
zK~|0K6t0>a&DFJ?v=tTjjcu*jKbY7WnX<cC+dbX~An3*qKeRS=`atDoZDr%g?<Pd^
zrv*R!`0+H5hU!lfCrcq3ZABF-30ntKDsJ}I>>M=07*teLf(|Ah`PC$)|8<A|B}DVd
z$;pl%2y}IIWq0Lbw{<WBzT)HK19ETzIXT(jE!Z60ZJa*1vDrA%{=Lb6?jvdHXzXBa
z=VWecL-lyy4@S1mPC_&^j|2VJ&)?@Xbu<6(k!&3QO$$Cj;NunGD|Qax|5Z09^N;^G
z-5#&}?e=G0e}@x%ycxfSqp5?0t+lnOjg#<yueji!k^Yy9|NWeQJF1wwnObQ}n!|fK
z!sjH+^M>PJumAnZ|7A~||Iw4@_5bYoKd$_bo{v-DS9UOmKj(+XH57g&2>d^t``_EE
znL659IX^bnurYTM=KR;?e>?rJmmu(QTmHv3{k4HVXW>R5j3Eg8FM|@sSW)hQ+qWn{
zR#Hse4dJj2GfQ8?`$S|XIyMUTEiR%z-5N8=n2}o?Gu7;Zg;-YG^-2Me$AVt#C#-o3
zTPEvT$jkzC%WzfGnk|wUS{JI$G^(i{rG==i{%hJ&O2HrH849zwuc)Ef@k!IP?MX79
z*~bxukqo|-^t3j^j=E{X%(knO>jlfJ!{VtbKLDEV|Nr~{)fIS3?iZa+s!I7py>ccw
zkt_CQrv0ieTIg!l*u==l$i&M_AKKg7EA4X@oB7q@CWpAKsNQriL3LjG!S?f;2-~G*
zjWfRCg?j4+4D(^~=X2G@eMNn2WcjU0^n17GJA<!|7Mo%R^RPEgZz>F0q`CQM99Vz2
zlO>!B8L&s1CuT?S*nBi`a8SEDeI1n6XUZzMfaZwqpcXxurhGKRoA=620Dp&{0r)L#
zo3pfg{MQqNO)n<!cCwi?rN?e|v{vgnA?rpTy&!MEo9J8#(tLhyVMeEjd=Q(`j_#S)
zQy*5=L5RCR#x|6#L(@X}a}(upWP?i3J!SrDO3EDpAW^JGemyTJLWjnk(OP@rKsGf^
zYae(OtyiU81I@uryf=5&p=gL?8#qf6vfen)i)_H<-=O<NGf`4bv>v0_$0^&FD%l$D
zkc9kFyf2pJvp=t436L><VY}X|rZ&TF;3*_eFmcPLRnc~IkX6CCXh}BVl5KjcRYhbf
z`>^?X^in5c;j~_EBkpWWX&v|Mv;3#9l%&n}^u%j6^U6MmTUum)gmFwIn4d!FoX_G@
z_xal|rU!YB`64#mgN^JBU0bZgXU4kgi$H7k!JODU@O~b+(e@V8+OBCcSwH5|t8&n}
zv3=)UY@%8&#YIi}n}d}g>cox%HgDuXG+R`)J1J}TWvie2`L?1k?BU$`n?Q_AGx)4&
zC!^HyC+ARN@95GrF}ptR?Pjd<^!1{n@`qmi1a<>{S#O0i-UizhLy`4h+C0!PFpXHw
z2nhj~L>+Ms18X1c&TcV}^1AtY*%NdXZtJzt7)0rFL)<Sb_&Yj?((qxm!@Ke-mr__-
z+Ggf;8>i+sB>W$Znl)r{pI8fxYkI!1#u}?Olkhx8H`32{z<e>dH!D}oI=HDF$KI<b
z?N1^DQ=lUFrL80r`u|YV^Vdspzp!~%edj|7Ss1h`^ly8%1`}7re^*lY+^k)996MLu
z+c%oCxCA|WL{jy50N({|Dvzz9&t86F`@sd55)7f-X?H)oLfl+m(8XXp+y1klPI1g@
zV5`G(rXh8Tjl6ktb6_Ij!rH@PLR>cNM|E_(<IqqiDES8;@kSE35t;?ow|$LS!|n&A
z7w&?x>eha`e{Pm$-$S3M?;togh`t_xg)9m{E|Fi2mZ6y2u!U~hj@%_@-X>Ev({56e
zJG-!_@*Wqb4LFeV;8J{fBkoBvYJCT4Wcq0x*t`oGkz#qnx6<TELgEij8BGGO&9fNj
zxw8j0y^E2Z5guh?9(49vb|;zdeCU3t;p2EZvr-Cz?3aq1MMskLhZ#@Ro$_+x0{r-7
zeB&n8MPTP5uu1Q$IYyEltFKG%J>UAq*bkIuS^S9o#*qAsIG6IPR~LFPw%Ds<h+7AR
zNBfsw6})7-neKGkudty%P|kq{JdIEc5BB|d5?8~Fo$MV;Gzb!8@Ji(p)4T8R)wg_D
zh}AytFpd=!0FjDA0QoKYaLeg;%$aIqWtsP2+OFpgg+IH?etv76KJOFLACDhgP|k%N
ze&u(?>FStz`2H|BV|zc7G7~~wA)*hiupOYjP;R*kvf7^x1Ge8J{_Neh^_~n2`LmvP
za=vjRKUZLo71$zt?;F%)y0Rm`7{<GQn3B^R7~~wD4D|3hU%i~f$axWEr7~z;U4wVl
z>N8}C2mIyuyfP9R&T?Z6-M9;a+RF&<>W(Lmb)X2WUv(e#Kg*uU1#Stu40F$r&1nTh
z^ojwHMSamv9j_{3fioca@meFGy}gGXuh%=KdX>?I@%rIUar>d`ESsi$Jhc=B#;iZ@
z?e&78VLYEgG`3TCC-|O#Q+Pt~Mze?dchZAG^u#F6f%YHB{SR<vGC>k=D4l#Z512<1
zn@YgTr(bxyE<9K6ml2Kp{!G(DdG*^MyC;1c(hZ6QoR79oP`Qh#CKB3<vGWOr%e8j#
zITUi%hC{nn(htA4VmKn714r@N4KdQ}Al$4<MNkW<`R8w320hI<cQ|(|71`gNr_3M{
zw#)7b%gv6w!y<onYK#=|;q6H3@<l<-QnB0z4yRwS&xd2UsBh<Z6T(dc{1rxIY=Ct~
zrW83alTQS+MrtMlWL+z_@1fkOI6md$f*~`SjRk?3iSEG%l}tc=uyCf}XXsu&RHx?S
zux@?-FNQa`00i9KjLyfIjps%R-{D(`k=^W45n}1=xexlcvfMFza3U&-XwbnP7r8kn
z>wMU7&%%xc(Rx^~-m#no&&U(B8Q&FqNo-ihN$h6+Bsd2i&}8bhT;B=o7v&0v0#_$=
zI#Cg+#>o9jE89H|O@W?sg>$oexm=TFr-AWC`>)D&cL>S)fqa)zI;F%u&yXPjBHNT8
ziALxEw)-z~pN)4z=a!5IxyAE#eZtU}co&geKORyojt`G-uO|}QFQ)I0TWl$YUH>kZ
zFoGdDFC1TOa$elMdM&VZQHZKS?()j3OGmj^HO(_#_OdPAjsSP-mOJnj+vNj8*PS$M
z1nt4y=RFh;Ngw=ynws~w*eG40g0^YfvrDXt$b*ERW9wrb{iyqC#Su`U_2BLkdcAPh
z?O3rtvqDAiX+LS)h`3)!0J&{VU2bZd1js59lVL0M#dFBEOtPDf7sbu5)#pUld*r-_
zub?qB*;udH2A|k<By=m#GRmYTRxfVDOCK!7kh3CbtLn3^9~Z)-KL#FywRA(H%iGhf
zu1JP?{<<x<AJ+))1~^)h(`a8kwflWUeVkrvR}rC!9BR}+fhDlcTH1-<{bJ>AF;3)-
zW*=MT!jERVkusrEV#XKew)?k_b`7!=LWEGxUC6^?hTBt!w~K&}_x7gYICUN0Nq1d-
zP6@l|yOpnVH?Hea1~@7$o5$72S<ut7#SFefZ}{butI^%-H6ji}XybHHORmg0_mW8-
zd?!n5Jcs~e_{xiUj&mMaiI+^lFXL6Pc_0s@8ST3?6C4nI-Lgk<$JjOC#cTNja^8uw
z;@#soDs=q|zJ>Xoj#5A1KrGscHU>{6#;Ve2<bbg##}fzMp3v!3c7Ko%vW+~DCtV9i
z%2qU|%_E&>iq8h0MxKvsV4b6$D_6X8khF({VEaL3o4Iz?cR?M(>XmPHqdP+f@w;Ql
zt%@2*FLCBhH+BUd<LxdILi6?$#|_~AVcYd`q+pHdAi^O^u+rIh)u0l;vM}IRI`+g5
z?KF{KQ=mW3=v8pRI~)87{sa)3xPShi9bCI3sC(b+cj+&~^cm_04TKa=T`ha|*WaJO
zu7saZxUFioOFjyOi-^uoCn@u7Z0SxD{V+#NforSRJsO3<W%uU%%*rC1?#*gttYK%0
zzUm1UG`Zo$#^0NC%chu$t@n>UqnqjweMG>^NyR*P{l*XaJe2DRct|7@)1`X#jsRD-
zP-;sIL&_QBBJw@cDB<pkU#*C;2;`U7o$A2os=L>uADZa<3WBQ4j*p%)(@KjU>pfCN
zEGm*1_&A^Tv}*3n67{?j8i_Q&z=0-#UC5Ojt=H}bJ@Vq0e|zm_mKEl<2SUkp@6WSw
zymy@)mnyq%#Ik0P*I%esE*#5yIu(jEoAk$=2tzI=f#Kw*qO;7W7_Sx(d|;;KBX=s_
zcy$-c#4BcMc}+|7S<DR*rD0z&A6~)iAY!nniqG)nQjO&(hb(#aFOLdd#ui>ZfBt+f
z`71jO+zh#BIP7f4-5-AUjW)vldUQ**re(>((m<0PeGhlag)Nu5LuLK~S67{S&O!EV
z(5LL6FAw5OcedhLD4a2@iJzT<iO_g9iRDr+mS^ROn0bgMsC9R<;hj=av8#zR-sb4z
z|L4pLkKu9nnXLallOlli|Asa>d)7d!RM-y!Wx?C2N}tQYCc;PO_$Z#`RX3bh-afMh
zoK_mjbaUyuB0sO=686&N0ip(ORMGT@{q|Rp_)c%lJwGV4Fqt1g8Y;`a-Q#AFWB!AF
zyrb-k0Bzs8d7<SkRu3KVxlvkb7Nvf%_f0ot#Zl9z(HyFo7{-o)2lI;l0HS8`;e4#~
zND=0BtEDDnv$tNH@oy83Z*nugcflQRMpiWq_DHba@<c_fDF=JxgX;y`^6Tw4dQTgQ
z>&?%5=Qkon#Jp8N6(tz_p<HaaB#pJ7tL45De`bAUyWBeO+Ht=mgw3}ZMVt~(i-Ros
zJ{bMs_yl?k&VVL+dQ4~3#kd*r(V5Oh%}^2SM{{DF876)=&uo&01$4qLCY38i&WE@v
zN!JHaB;fuG@T)*O&8<3^sf5`wX1LMJbuF2}e0E%Y%&fJZe3gS+Re-$ja-u-J+wb+v
zF|?uIF8LCBt4WSc{5$WwiW4^V_#YNEi`y0puZOAcl=bCWOGaQrH6vxV3-w2ZyEoN;
zm3}RiXap3>v*a|{5D5=3RjX4X_YH29JqyL7?rhjk=HSD0zg-Pwso<^nV9Lvz&_j5=
z8yv*jZ^maBj$^vlo9#?-2dqYa;GBt3*wjUU?qqnflSajNyM@13fcK>uvqWr7>9Fpr
zKZgfmk@8W}%tUgC@E$DEYm*jMJ!35D32#NnVD}KhxGWb`$g*>l^p$_HK8AguS8Gbh
zYTN1!Q;pV5NUW}=F4NKFOG#MH=96$(v-3g57GW`lvLo4xKP)>2us5>N?si~(*_Oz<
zR|*w@-fVOj$^v*_!q;(`APWdMlByh4%g5LHEdTqA*+Gtx(SY1%*i2^07O?1kT|3Bq
zl|0XSshEqMiS6cX3A`jYABP>Ui*WL*b?oMZQP3jQ)n3;Su=&F?1D%UhqWl-8a0xV8
z0hh)Shp)o<15Fo_CdlVIqNB&}Xd?x`jV@A!s`_`5F`h!NJ79@uV)9b!Ec?veN=*Wz
zrcaj6a=&Lcve4kvY$V@H!jh%dH+O#6w3qw@dwI1g*$%izJ)NZC7yc6*;ow0f+I$hE
z?6n@-PjTH1^*Ifo)aMG2kko)rO^o{Vj;9r><jkDPyQ`=<Vy@qBzT@`5A}mwM0~jXv
zVA;6aV*o%fOWgu~`8#(j`lbgh^@EL!a(ph$DxhYZZ!u9#D>ir^`DWHW^4mh_h2F}Y
zW_9_nlXs2ai+6iiuH{E3q=v9Bo~0vzz9(>sErFQ#mVt;}U)ydr_Ut8JN_d2as$ZVR
zw$(&-V4qVc528NNR%-7!cx}5_?!kS;3woZ}k-m+y{F9^G5_js)KnlKwTo2eDX5RG(
zrk=aDDK!tDB#PO}XH;a)Z}F(+53g+oglMtgV?9IOHE0c*5OvC@VnT9UH1N}&EfUp_
z*q1l(aW2><Y^P#AN-gV`&3rY2Epo?WdaNJzLE{FP4fGp#%$bSxBWVO#P=tmN1;D8w
zi3egHNXE8t?ThU_ORi@*?4<45upTlCN1!k903k5U^6o38K<qer10eu}e#*hO#x`J3
zLG5J5JtL1HpYclO(MNreu#3Qu0}$*bY37GE1`hT|l39d^Fi|t8%)92Mck?^2)=FZJ
z#Bna}xAZ+reFsLsk5_OJcoEb&XO`(rSVu;YXs(W|Z}`BK+=xg?2HR}BxA2khwozWN
z)4>tyn5Db}o+Xh(S+pw3z&ipfO~GHW)7k%-0fa%c^oCfKvJ3TE8kTx=a=n)84Yz<f
zn$wh-){mH%<Z&{5HUpnc9`I5QzxI(LRmgnn8n?CLX`nX^Z0L@=zjUeyfX4S*or3Bt
zG$7eQ6#SGU5G#Y?U1B&;vEx&v3shUpealz?eS_%j&?tX>j=YVG;4+Op3-jHKlj(~F
z6iq5)dycr8El9Y256k{plY0X8a(sW}o;1JX)xz{iBjLOagcAnwNToUPPMjZsi%I(D
zwld;yz1RxEksuuz?Bkb&P<jr%x`e~oI@$VPxgq+VhrsPTb)^jRlaZN+G5E$_e*Uy*
z%SJeH7aQ3H6T#(FMn*=y^g2)Q$C?IxOxjk=#y+SZABphx5LqUuk%U;smhp2&CG}k;
zJ}g#QxCt7|rUxZRC;hi-HKMDbkv{6gDOPJm#8<9fR$s{<e(R86HzUIt6Awb0r)~R-
z)yVGJYXz_Kcq@J%9p|3|Kkv^}1~n>XQSV$SqT_d*@wa(Mw;Z1@eEq%1eh%I+FPzE*
zLvJ&Wt_3CUA2AMqSdQ+sCl6v~`(bLJSXb~eRTnl{IlG~eTwa}vjEtHH;JbN9>1K+P
zU=L%tD2^z*h<zHUTQOqfvg_zw-aWvu=?+Pnp)oAl;WVU#T&KZw%+fVh+P&{fQC(d&
zem?rldtNlF`NryTrRz?p(A{n>W>5gGGy)=(3e|hcQ9{BX-oXzVGx2Z3v_6Gyq?^pT
zH#BFbqXu<QQIh$%EJ_IRYkTS!%~out#zsPEb7>fNjz6rw!GhIU&e(w00*MWElUU#W
zP5TaE_&uR~$e7=YInF4C<Ptu#eKZx_eFlez4&>vO6JaRf1XKDh>Q2<AGq=zp^5-|T
zU&)78tvu4R(l8vDL{`W?c^{YlifqsrX?TNig!;T+8FE8%$oo$C4wfr&mut4yd*TZn
z5v;|2TsEpPcE9k{H~E3Qb@ucvv-yx*o?JHTYZ9tQpb<s>8J+r)B@FcmA796DZP3`D
z;L`}<4=<VW(v(Uc6w{n9K<m%uPz%1#3<{<p!0<dw_j-sy56HvlFCP$^zt|VS2k2IQ
z|IY5zytZcwUNQ$;xXztUcB6^C$Hs?C8v&xRs#sd~-$krNL*&N}yO*y)S_JyigL0z_
zdLmNEYAdV(P|Tff_xNtZGs@fsCNDUn@QF&h7b-URXIq3cRdZxs4M<L(j2K@pwLu^a
z;QIz*txrk3&)|+}i08H$EpwGs|02zzpXDWPLO&(?H??sYvzL{dQGLz!`NG>gf-YQA
zq_WxBu+5w67}$>=l8=d$b47>a+mAS;e-iPcJ!n>otxdqYOwCiAidhwVUMda_WM&90
zeyxLidrs5X=Qtzt+!;E#l)6x>%V(3O-dERi9f?-u{hk#&sdq<wTh+~)->{4Qxyei9
z1k#k+a=?8vT+lEgwz4I+jd0g;o%7PZF<O3L9yTrloOHnP?5SULzX`f$0c@@_a#Ax{
zY+Y3JeJ7gwd{-f5)4(#f-`0-(Z1Hxu4-$*OOx(7YuKNznWwXvo<H)$Utb@=>Bd@>%
z!_ad>WpQPdH-zri7b_sBd;)8+H*{MMx)%3N=~l<#*!6}_0_~3psIVb6uYR14RxE)1
z{^0NiBC8p6<vLSgV0W5K{RVf}Uo@Zmp)kWERLIM@girj1fBa_~zFu=xiu$vWoa2zN
zXO$I<_C6^=C{CD|CkboxFLGc@qhJ^$accLTm=b)1&iG&kAC7PoP3^C%YS4@U@8vVs
zySpkULVBy8KJ$|kxOoVUc!@2YLUuv3QfonJViN7US(95y;eC358J_1A@`Kd(;Z*1j
zNF^U)cn)eZk~*qrIfky3YE}Ah@m<Fj(@H+7JODDYobS_$xn09~P}!>1h0{hA>f_^k
zxl78V9j{6=*y`UF>})Y5=gEbB;Z|m*ZTg~d|J?!1o_I2x1AF_%n=|JkBpwW+mUHfh
zZ3UH=l&@4lmx3rfc5gQq^;nh(#2>c@;AesV9@Db7Ngk4EgIgw?>f7Hh3uPmFv`GWp
zqS^o$oR@^}OMym5JMOu>3gmxb{rb$CY8tc{hh0ZyjYb<&z5iv1JCvdBtL6!xUg(&J
zF)_RMI{2`<Z~D0XzM`Q*yLuh`y{W-G<j<T?{Q(PaITMWNVoH@|DyD1o?&ZV0jFDb>
zk<p>4M?Fr@J1jz#c8R+E%~5V{F_a-uh5ZT5k9|oV4IojXf)=lPPnRhKo2u?POKj9Y
zHn__u!pDdk30f(%N9VH*O}t*P?TDN;m-vIDR2)>u``ixnv!bEVhv|^~8Cqi$u;?}b
zyT${V`Dhg$vzNa;i+Zq%$ot&9z?3^jKu#B<u6Xyc+(b>{TY(Bc?Q(&sW6YhrK@JSi
zt@Avc{WjC*Zm%xYw)s|s-LUnhd7@tw|8b{8-viKILz?4~bZZC<=0P5kPe9+uea|B$
z$`~H);p}PqOZ0OV_omqi^g<z(Oo;rw+t{<vo6S~QzIWWZQ;>;YD#1}%goRMLa412f
zq$TRZsNng~yz`8K>kviQbt7$E5ZWLA?G(j}S_w>~JuZjPQv$G|qQl5!R`HMCw9@Qc
zN<ry9v!6z+e{uMkU|c^Z;vtwXBh6NI!=|D|qw0xGEvx(Ga)xOZEaP0n^{7dpqIth0
zaU3}1v!wJC@vku;&_!8W*&YEix+pvQeI+WMK0ZFY0uy_^%6KBgyQ;v!w=;*M{C;UI
zQseb8J^PCZrW8xrp>xN2b!ixC9tjEQ7HPD3tD#<l&5|QLf8398$9eQo1QYEs>Hv^Y
z;{Z(8MF*+L3Nx@Cyk@$sf=@Q+k-N{#sZkKqAFWLpJ4?vjm{?GRW@GeBHo^R}xF{vw
zM@W<tD%dXRLIzX3DFf~*+BkQ_CS04NjN3V3?046g?2YgF(&s7bd9i+?{sA2lDnu*2
zsrIW`=(>D8(rZk+A`M!Vy`6>4=U&v?6?}nA14<3_;_7E~dIooN$KMty`p>xnj@#vl
z7hhnu08a?>#|WMkeA<02Io`p=d`6i)YQzpp?Qq{^+etf@b2!d)-u};oQbnQI`i>A#
zRUP>(=o_J%;`V!GEHVfye$fSna2rF7otJxHdPp?QD>Fgqa>;=u;vK;`?P@!^1FGRj
z&x&6vswiV%boJDSJ-++-LJ`OwOkxDW%zGV8z5a+V95=`hH7*n(DWm@Kl}Lx*p%a#z
zENy6fH)hzhBp(q`o-|t^(VImj`dQadW~@IwudRD~{c!R2>V|vNvOtB*6BzrMNQWno
zp_QAs(C0EtG7g@GNzEDeW_d*Hl1Ie8F4L*mCgD#9<~jQPGcgt1qA*1#<Gl~&pA6u0
zdam6C{2+;sJWsFU{UkHazbT57!98ZV{aYmh`YD40Q3LnqypL*<DBQB1qlFgw?<_nC
zSO*Z}G+(ia!hU2c{srqbOwi3CQ(>9|C;Syg|7QY!t!<5lqu*sByl_E|G-p9a_U?M&
z<>dKXo=WnsiIQR(!&vi|xW1yqkFILF(ryp|G(0DBZHwx)giD{k{1U+!W?3xl_Sd4x
z(@880{oB%P>y(@Y`|2hd+RV1QAnlioUwG66R(+8y8dmK47?lKn{{YeK_-K6zB>C%0
z9C)kBcDYb9(s|7Lu!h~IldN6ZE<BGG?|E1q)I47siRVp5mwV>AY>8d^T#YTqT77Fb
zLtb$!@9DTWw=K|AUeYt}%{W-*0baLJ)$4#pTvOJ0T-ruEDq9LXN&)!qmw3_o1S>&L
zGw|=H(5exVua>TlcHUv!hb`2;>;6vA+jyl`j(J4)i~3XB1Uy8~<{z^T#?KV7wCj=E
zp}2#xQKgNobqBI15v7)fyGdtxrF2$m64S5}jZzEJH&$+=AA-vHBh&7`e{%ovpCQA1
zUwUx43Vt)3>+m4&FcHw_Ldl&=e_Y1cfVa#Nb*L;)J@LQ91)1Z6JQ|$jUDcRtCe}_4
zEex!~)=NSfowwNidh6W7a$)ATl%5x_Y8^VD)`N+_4!}s8664_?{y2+X6@M56$;a{i
zO~3FVQ;-C-f~I~)sJ_1%`($L97iCYru1xmFt3>jyah0nwb3p-_m{#Ka`hibUqWQI?
zp}F9-#3b%D@PsVm6m*Re`T@(k`YMG}E$=T(d`SW%%T}id)py*)9N~^We_DQmT+;5Z
zED|Y6>Yi{XrL9T5f7n15Tl+OMR1i~MLYGB`yTG%!2=UttMgCKWa{r(7$CB6iu*j1g
zVFgObKhIo&YnMB3d@s=C$f$X`GeGv8*HbBL0vkG#E+DgXbTu}Oj)*qH+B`Ob0@Wll
zR13EMeJ0zwsHwD5FBz(N+&0v$t%pN1Gv4PD>RmvThY&;l4f+SA%_{DPsxJa}7rJG|
z;LP?h8erq?20=)lla^k*Lv`G}Fe*ZN3m>UnI7dQ#IB2B8iApgt%*|&hqkojo)HSWu
z3a-;y&pUoemB}XGDPY|3bQ00sSk6?WKg{+CyUgZ<NP*;&ga0vVK14`W#|062+3ILh
z@@ItW(0`OhE^;(sl$(m@ouHyK&z8O2xu9uX+Q#~Y9z$%-r?*T3Heb^r;tL)UtKTT@
zIEC*<IaVOYt|DM~8Ihv(eV2bY#xu{qUfJ~4*V<U*5Xg4c)s-1WfMI-$?pGpkqp0tw
zMt`xg()rTzc;CI0a>O35TA`P2Z-^yMMb)P!Vg>bvzkPt7XXV9M@3sXj&(4zAz->JC
z1YR;R6#p&5rSaphM{Ls|)W;YB-5D9w)I!B4lI30|PeZ?VjV|IM`6;2R-`&=i>ovqI
z2k%qijAmy1KFfRmE%@$0KOMs~A2j`YD*qZ(ymeRo#JbOc4o}{3!?7AxU0prDl?a0V
z<b%UAhFa^W$&28>>8K$ML@Q>}H{1nW-#XkR3;mcmMYF6C;|;sOS94~hk&$s<ItC4;
z%~N``mU@D&*J5ptLuHnnmd~Gr=&l~QC8a@(=xr6d`Q{(F^wA{vdJjy$1Lfeo?qTx#
zQ;r=nMf9$P-`R{^nf0r;H1Z4b-RImh3j^?oIl18&l)B`6HhchG6?Eo_@i~+;a64aW
zlEjvFa5uC5(J-%#Wq*@DYvMpUAz8wLSMquWUNp7)aMVj``%nndIcJfHb%gn=iv49W
z07N4R6r?#B?%ZZ#(m{cm^7KbmXzbu8di{sW%-6}Uv=XMdjT7W>yN%_s``4V1)FxdO
zsMFQ*7c=2aD-gvd^}lVIPP*E`n&X#>BRzvAvK#2OY$fOkyACiFwkD+AAB~Vu|3O9o
z8V5o{6q(lfThGzWF{_V-SBVsuJs83gJ*a<4p>l_j*|FnUQGa%1E?v+<sNjM`v;(<u
zd>$(|A>~lNwFQJOE<QeFC?A^0rl;AmakWq>xb~S~gbEJ71)u-IF97W&LPHCMoDJ|0
zXc!y91iv-GBLkouji-QDu|KY~aO^fi22hD>VpOlwwQh72SO`ncVsB8KfB4fR8-V)<
zSn$~2&%Gk4hia8+tG2)s;jlA}QY{z*oI~4}1qb|n>&BNL=`a>fma-;*h`)c+BKtAp
zKaK)Aq{B&rrkYVK*-ta3DJgmSl!x<Pp6z0@og83vOmDXBQS%Y+xr@rnind(LMyls7
zksW}i)=Dj0mz-xZ$>1-DbjXZ&iywO7KIZV?zrF+{$wMFgiKjeF;ZWaBAdQBY{x}~I
zVPT~{Ep@VW$4TB>t#gME{(JMSbj*jyWIOuvNyy9<Z>rR{ZrgJEFH+nW$fob`czPD9
zuE0Z&{JHgfqz(?eFxcwiK~pcqA8g6uMli7BI{3*j32VeKo6I!Xli5#W+1on=&QS>l
z0Bfs|{6^3p)m1~o&r6_1fNLJLw(M?#aT?Lqhp=JU<+FZL971yq5OP_(5to?Kpw8<$
z;#72*?=jtDFj>ZQ^_HV)y_H%R^d3}^+xK@!0CE8XT;<5LY0k?er(np5y?258>H3`K
zNt=w6JqK;X>$!;%p~U2`toSN|eA_Q-yp3u5R}$a0B8(}c=gm={z-lLzHX62CefneQ
zwRrHwvHw|FEsZGZgp~>K2&j3g_gh*RO+on)kPSVLOrf538?ihU0rI1R?>J@SpJ7>M
zs7pJn*?ZHPgnI~KZvA#-!l(<Xf`J6!Jo$141U~df!L;F~Li-CcqFIWFR<!aiaj{17
zEe-H6Vx4+Jjf$xF$do~?Zq-7clx<t7O{w?0GuOBb@H-?+L5FLq3>vidBWtePZW=Z}
zOC0g6kH;<L28%35-k@-oK`ISAk2f{644g^4vu`c=J^lnjIM`<qAX<U?wL^cy6^5cM
z{C#v4DojKwsz<M!>~p-mdFvWnspvUQy<KkENgp@phgL06naY0v7c;}-+$fQ$c1^?D
z$@><m-IIUv&>a^O@(Bbx;nDzvf2-sqnKcqQP~-QEc23}aup@AC+)tDQS(FOzC$`f-
ziPC2>WgU#STD&r9;!8(y<A>G}|1Dzl*R5}o<js}Tz{P{qdzsmWZfk+chIU;jPYBj2
zZ+7wi*{*0Iatc&E6s}&1;p#;&XL2vuR}jqvF&>JC?jS5P_k>48&rtEXz6*Jvkjf~u
ztpwi%)bDH-C~mr*CSSWb;)tM8MMbctJ=EYLrKEWyfAmxv_At1T2=ck5-AQvCVF^Cr
z>hYsR`J>PQi0ODF)yf@nIad?Vb-eVE5u`jZsy|NoWWcBHa4J%h*zoN2LYjx`ag!wZ
zDPBqEgj%l3u)fFOq#i&X*%su;8sPt77Yu#4ty6}-J9b_9NMYfu+)Vc$0}_4DfNYf>
zma+?1Ndke_tD~DgvX0XjRBmOQW_vV&>Eg1R=cWheOd>=r%9Q7D9kZ<Tw(wI0{j1T@
zIW_mFM;ul?`a)U(V{|yy>TbGrjKuvL*L#tFzL7qk9Wt?KN_2~)PS2^PZ+)^NOO5;(
zx!@YC&N8v}iAXUvlw>S(i-7$7i)`F6na^S(jU!_?*oD2Z2TcdZksI0pNb|6XeEB`{
zYaZ}1JcS_?0terB??jpY;}^=lM`iQ#%kv<M`UzpV`_EM9h%K3-`9KN>>7|-CoO$98
zHJukjl!PcjhQGdkdf~EnzFpD0sUlXbzLjTQAqg%iYi%z?t%M<A^Jcl+A2op7zoRpz
ziSfGL1^)-HM1g3VuKHEsn?zwmE~r-x`;mCph?MgHzxGFd3Mvhkp=_(-1nT~fm(6yI
zV+!%fZu{a#iXK8n_*SQE(@1|zMHLg`BJqxH^HL&iu=eioy2EQLbpDF~&%@UKR4F(%
z?Os;M=D(c86?s#Jy1a>EL8ReZn}BvLGNR+>N8-}oe`MSrQV`6(Jb7u8QEzzLJcHsr
zgF=xoLSs$=zL8$Eo06QMn2FNOws<9^4XM<vE2)Q$T*6MWfg%^zKbx+j6MW&T^EVm8
zMN4H{F5k;fGCpg?b447vE9oB`ASwgTZ~Z3bD|qN-QzdPuV6R-|bk!jDQLajpH>W6l
z9+Hn%qe=|Ag4!tJf72BIY+6j?oHNy?xZnM`bRPDqkIbOub~|-+$#umWxS{$U>5ssK
zFB4wYXwdx!a6d}X1&zsyTh0gET?D@pkl>-7+0Mdx%=0I<EO*ELVa6lvO^w@ea?1jy
z4v$(T4XD#p@S0^yzYIQA>~guo^!YK2CPH&3%{!63yjY8dC6|TN)kR`uynh)c2zBS1
zI_0a%ePKDUZ;r;lQTF*tI~2OP`*a*9PjAz&-8Xofu43|Un||p-<HWF37dt9bztQ9K
zkJ}U*gg3Tc>%>Eq1&(Ux*)m(Uu;A&lruj&$|HS%>*#AfrMn*;!NSv5Ra*j1_64Rp)
z+S_P)6e;CDQ#ECKbOt|9A&Z;bl07>{(U#*({cv#!uGrjqw#J-M?;^AZsjA%$j9{wF
zgk-vJC)XWRc0kRD4x3iPd}{xxWznn^<R8n)O&jeVrmz^Cu@i(WZ(I^_L=D$dS<|BF
z_kkajzek;MD8?jAaHo@<oQ1>;lsVl@88EOQ9H|r7ALtIAGvyCk`o!OZTCNuROW_HO
zEdl}p5EBl$`5*2IPr@_8*`@clj`%CpyZ&d^0i6nup(;CaXZPl39nok;`}YlO?+Lo&
zbjz2X=aYnA6W__@JgB$z>oz02|2bpxGWR<KUUfb3flkN+b(C1hSFA}eIsX$=R*-)x
zgzg=-LCR|*Cv3|;Q9hQN_lYCf=O-PxAF#YNsPn`mV{1uVesShlDQqD3#OA)3^lnl;
zQXOEPh3)QsI)djbJkGq~oVaUq5tfC5W%7@uh=S1@RgbD6<ueBw*Q$4egyjL9Ptnxx
zF<Fg`u`DmcmxU~eoJVeLd^4++D-W1^nm&uj42`Z?3N3N<EGE>-V#WC5wdyeR<x%~b
zGk`=!M$WLeY{tlpxF6_&#6}=o9%QrsM(RAog=>@CKvv$H8b|)|1KdY<7vbdVr*J)M
z$-PgXjqM(BML2XhpcQ<;RZ3uO-e7(S|BrBQB<6H!r{hrT7E@|O&%HWQ?=yK`skWRA
zu$+M4FG;=HTogG8^7{*u@G5+msK{ZZaDjjxt#}6&$1F0lx2pp7VbUr$&;ZGyW^Qsi
zo&P#!o9z78++Mvy@refA2e>}zsZ(tdTg6w>b!55_C%o)cm$P9n6YseH2gf!yoP5`%
zYm4V|-%<ZKJjVj^FPn)B>kl|bz_}*5`<FGt<dA?)b@*t%$Cg?=CqF#Rlhlq(GGn(q
zE;INP>+5>411h*gB>0{8xph(x;e2d3f5zF%64-L9Df43G2m&-{u5~$Q;{ii|y;By7
zj$6KZ4Uqh|`R|F)t568x)caL*%mi(WlW?QT#23i$B`zEgcE3I*E?;2mg%@F;tqzQi
zw}fTT*VgA1s|<Qm=HF^kU1!rLBuKJ{S)YtRao`oO`J;vvXfc5j@0t@lo7}r0O7<td
zz!xr7w6<uES1?vQ{B9Xj+ri>K3^>P-66`D5_edxr#}lncr6u{c`fRm(wU!iPKXIQ8
zw;?!By4!-fu#PsbhNgg;6ZKw{`?3lBSEaCc7Om-NTWwhO6r2~M!g;X|$$z;b2J)RL
z?38|iIn98qJL@t2X12fIz~*T=*vy@Qbh+mUub=c@Yus%9vZS{^oT^N8q#Nyb{JIcL
zhOH>%E~37wT51y0(g4#a)ts8H1i_ZOu>}s(Hy7{M=Bue5Gs}<3<vGSEVHD;18aNuW
z+|+<=?2!ZH;S^8!!xoQiwT$iOVLasu_ND{H2SYZc6zMkS(%6(3BJNnd#H4;Zl*kcH
zSRa|Em38+Qtd1J5+cS{>N83Wmzr09v3#~D58|mEwJnf`_`X<TYxu0Bt5l?d$G)8;M
z``L4J7b+Dg#Q1i%pVf+>d}lX!nH+LoB(I;q9lohYAMR=H#nE@J&q%Kr3l}Pf5m06R
zy}CMq<Hn64_$%lTXYnW;yjTA)1zy7NnFCogz(cXA5&#<+IR&@qqG$3Z7(1NmemQXM
zmvcENRA;W}euU+LwIDuJV={oR$3<-^>S#W!CN!Kb+wc<BJE>H<<S@wAQ3Zd$Lb<RP
z?{9Sk;1`PjN1r(AnN#NH6e0zoAU;A0PSf<oO4|OeS&i_T(^<p0rS*^EL>bpl?jWt3
zI))QPoc`7G0Nyn9=MnjRK6GI&Eyb{!5&jw%$mL9jN0&cJ!>Rp$MXD0GGEqoq?1RU6
z+P>d@qRx+0Wk<#-##QmDJGY^iO~gBz(r3fUI7@bZuveZHCTx3^NA?AwCP6E@VFq#u
zTQy#k_wa=A0)xn9ajB-Ff`XS0Hum2X9=s9`K(u;uZw#*X7XcJf25GAz#=D%};*p;Z
zPsuWZ1R57m^3qONPW1aukR>y;uHQ-NP7x!NQxHMfB#>54BA_$nde;y1iH6NF$7U3#
zKL4Slom9BHsgNGv9QOCUzE_%Yj}GR611)-q{Us4zSLv^{z%|)y@{AdcX!p42ssz4{
zIitt71zfyC+-t^xL{6mlO2Mmlzfg$vtJ2c$WiXxuBL5>-PmvKgqdwAlnuDJh?ef0G
zEqdwqJCq`kjHrBdVL+(m_nJ(Re+^sdRf3Wly;OIKj4g6))`uxW8<e7<1D&5Ir_nFX
z%M7oTd4P3;>@A1m4Xs;jL9vb<`2#x$eSdN3v4C3@{+eaaC60LLm#<th>8#Qruuf%9
z>gTke3L;{SGJJ<ei&%m$9$Hv&aC!AyB0)J*z-dl(=N-aIjBlmK8ch`%T6jlvrWVhc
zSTvOivOMNsKOREnS0GCoI8lx;PTp%54BWp7p{Fkq>MKoHd)%(Zpx7_5$ljo-`#r9f
zgHH{mQnQ4Y^}Kw6`@su4^eqP}@%pohrVz)qkG`7*SmrJIS}pR{+spX|@u@m6Ok(zu
zB|8Wf$gpNxD>83QC=(kS@1F;dh$1>0emV*GvmvV{ozz-i9*4-G6LveR;fujPPSE?}
zaUxYk7o!hxs-#M$>!V-(qQ#QWCp%oo4!_QB`P}-V<2r^OUORz)ABGp;_Cq!oZLbag
zYrC`XNuFo-nGcdC|1>dfsqNTYjf_u~dI6VLLXQU3kDegoG&IU!EjCj7GMt0gGYfb>
zQ_pUTA?4+;9G%v(skQ()8&eOB`BOv@3V>dN>c4{1uTCDbzC06+E(PuX>X86H1O^VH
zOrM&qXL@ri_X3>?cDq#YNCHP!0<y~*^U4wTE~!x^Ui58z=S`WR-#cDmFD$JmSZ0xU
zbU#X^ja{)Ce}Mo&?K$-yy1#T7ws~BFsdw7@)q==h{H>wDU4jE~uJ>vhIzY4HTiv<l
zFRJk<JFl--Teu8QcSGJgjKH(?jm_PZUM{8oYYoMw5Z0|#Ub5tUy#(8+>c+k|;JqFp
z`%Bb1$8f0@NQRBMVvDy7*J*L~o`thDk->|2f3*i=&}>F)HD-ng>V?@Y-Qa6+>a0k#
z03W;bE=n?wR>C~}Q3F?SSz!w_l5aa{{tk=O=b9eq-Vb{#VLruo_BZb;`W}E@Wvy{P
z53kA%!^Qsd&Ub+l84}1PKEE5ytP4M@2ZM={GH!EoR>#6p@Dz<l5ergEeCTA)dejJG
z3YysNFel>Hm@pO&VRi6K!u>jN$IZcD0^2=qn&(!S&>#QnJjMID;%7|Szrmub4PuUs
zcC`WrMG{LRBen#HPLV%+|Gh=%A}yi&Io*C){8vm2lgAe>FM=L%bml0|%9AZJ2QdjL
z!cPq_o(vb=qp*fWhkfDuL&x~(AOA^Je2Mi1PmkojJJ+$>a~@loTk*%?NW0)*#@)s7
zlLHCXo{=XY90nE6mhvd;K^&J3{M&nLc0m5pDSedfc-)&2t<JP{ZRjPs3Jo)`WU~yN
z7U<mps0N-O1;%;E{4Msuv-%OD23Frlm2u>|;YFDkOcgkIzZRzx%Tjyf9;b;`?tG$C
zfgT%YbZtTmxqj|@G-mdC5^pUSq>|cNZsPWC)x$02tZl`W2+&n@durd8Kt~Pk>-!_Y
z4;wNH3JQxXQ`P^`86Ox$PreW=yxefoGY@bPury7{YukzCg)1UmZjDXuKW}v{;lZQ#
ziA3m(U>_;F`#VH<b>u<@7R!?PqRNZtgR@b1lTnNn`?p~5&!iGdHsD9ur6QQ~!L)VD
z=7hY~NTvwPXB3{U`m3S3m3&3Sv;_KlW1)1z_Mr?&7Pm2qe^rZSln`NIXo??vC*h*1
zS0H8?^1XmsT{gH|X<nTD-tOpJ;KWhQxJ+G;C&4}dDx@<dPDh_yk)`eX#3Gq!>gr|X
zFOf<PeW!6LW%wJ^?m?;#=tTbonT~+~J^3XMOYqh^FWVPzlYi80N2`T9Cow@vcz2ol
zwqbee>Z>Eora!3Axe8~slT#~TVQwW7(JH1^US%$G`H4bz32-#F<DX{RB8vK32n6_j
zV5DOBhI6G=4yl^#z7fq5`IDH5`lB~czALYv?t414dG9TmIK{W2zbqbdz7%L_{Z?tM
z6QCw_KVDF#jLvGf4}ZnY@Mz%wVC<`-qWr$EDJ3KXr6dMHKw9Y@6afJNC6!iMO1c?B
zr6dHDZUkxRW<Ug_yJP5~yJi?>-e>&i_xJC+7R!HRG4tH#+;h*_d!K!I%6v`xlSKer
z7Fw-b_8aeSjg!UMs#^g%OV||#rUU}_uzS61a{Gh{_h_JlK@V;`y1X_TI_&~ilb<dE
zmrfVVDWI~_hQ2E2$=w+~(|-M;X$<r8gU?uL^I39Px^qtfXRHfUW?X^bZ%Md*2Ujre
zjfjsOWRo(jy#6EA$~8a?^8F;i4p1_kUQhqJdm8bh`0>-=P!5|w78`nMYA+fx9$bmS
zhw}*x<ILZ9PoU=ABQt!pb4Lo!d(j~-uw_OThX3%4z5gf?hL#6n9xvbIvJA0dldab^
z*t`P;L$l8xHpCEBBJRs}b7grg&a=KGb-+IC_PntteaPiL6ta6Z>v-7*Knw4<CC;UM
zT*-$>|DCeJxJHpYGjryTI$~n|c8AbWpLAyw=r@i(1cUtXbfDg2E27ZZpygLtaBJy|
zjB+?1{E3yZ>eyz!cmy&-Awq;})TCD487p10pZb9w$%&HO;st8u7hHcvG5*w-tV0x7
z-p=&xUl4qhO;S?OKyfml$=<!sE#GA4voJh{psQoE_Sr2mu7MYW867w5ZEJeH>$cVa
zAlG5)03O10cH|M`q5<CgD<1;@y#V4L^t&Nf>^?VIu_6d;WnAX5zjh;4n^<anJ*oGt
zpX-POKkL_S(|c*eAE>yO#kM^`caWSoydFCbyGDAh()RV84%#3pJsi6IWUT*c0+)Ck
z1NDbdO*v4M<P8n02g9N2R*+FvlhP;v50^{9hGm?*nm1cvurxQsyR&y*VUX(f@iP*U
zEgu0>8(oEZ3clf!Zq5wDMqt(b&892x(NqI|fxJ}z?OOnG%vMl)`mb}SsJ>cLL2@*Y
zv9bdH&xCFAU?&KvhK=KJsmL+c4`mHL`gAcFdxcMo-2d?%-+L5irFW}F--^L}j~Rdo
zyM3N-d^>;p9~^=^L?<(76+*kb!%%g6Tk`<9#y=bMQC-5oo}|&q=|OH^s9(7*NnH?f
z@Aj}t{1~e(n}3l>Pwv!MTzBfJt<|^#pqE^s<$ZbJRT}kYI0*Z<GbI8~xI8I#9BY=$
z8;+Gu`=u25fdx^;M&jn4pSJJb;xF5oF8Mw0cV{wsOy{{aW0PWzvLft1le_IzKDqzl
z$;NatB;PDFd0|#}?*dZ1|Jo00_11~b+~+0SyD~!bFDok3Y42&3>*mH*k%myC*6Tjs
zz_Z6DP7SuFCf`nn<Eh_Yo|lSA-}ah(sH@x)MCJ5qP#=&n)TjzHpWJLHuY+Cw)ffSc
z%usT`tR{s*h5Ti&TUCpJc~6W<Wx~V{Y%dto>KSs>s3Yyy_OZ+xx-P@Zq-@j@T?D#a
z7(1kc^J=L!8WFDZN|#|Bj^b}P_-Qq884UKM?*IviMBe+mc>?5a;KiL4OV3WJ?>gFP
zZddN=+8R|&zo2pg63iwx!Q|_ie=g0$tY;QUmC953J=TM0;w-(AG5Rq{WxS*jC9T)r
z|Dwv6fr+8a$RA+=mIP2(-OnzV6W7+~|4HS5XNV#G^o&E*E_$iT3gS{?H}Cc$YG$4H
zkMIXeT$JVXa0f7XxJ^yN2T20gv}vc(Af?%AiP<qe0nZ&5079&X2VCydpDb3w0rxK=
zF{Ai<f&el+T;q2uwZq*#J}GAj9d+rY{ja{IQtIx{$dLR7h`A^KYZ2UZ0$k-Lm?S#!
zW8=LrhQL&6H$~AUFJP0j#2oQ<($J@WQe9##{?_k$7)=(-|GxPUGj2^~%h5vAm0R4-
z>#c9r6I!C!Fb4=1B#;&roDS;r4KEN(XRkWbeCj2BH=cyS08#;vNA;W3MW$W?nC`ys
zNappw%WaNlp4qRc0jvU3WLVhx_b0Bn{PEiJO2hIU%mmy3b4yE6vY3Klp1a5;i?{Su
zvyA2Dy7Q`9W6!U|eT@^WBX#)e79=qBGL2fAQ~ch)k{OVo`1Olxm_ZnHcY9BZ(V<XQ
z$AJ5b&mU!~{MqaH4n=q;<{$+Hzu!kVcZH3zCFO1{@2CnFB;Wfzc-?zkr%XH*R@PXg
z!im>~_jhT7l>>Hpyw>ffOuoK|*kyBzHXhYi96UCtQN>369~c64lKhPMmeG!P^R|@J
z9F9wH!9Onm1HJq-)u(*#SRU^TY|~JO!AO5e-})<*!iMxUTyK!k>{&vJ70+JpJBK0$
zJ4sSES}QyqIhH@fT+vR>PHp~nDjV0*+cv>uzf>jG?s2#VzIoiU2)4fsKkm&$;=s?J
zyF0hEW=v}O9NL@Tav7;K+{TuvXV}0^xEmV#0Ggh#&6oDkDr3b0voLY3FUzXdIQt%<
z-{<dl|2?V9-3QBqP-Fwj^=xu-E%{Xa<4nRzGBtJ#0_X?;!0=QuzgZHlKr6!?_@B}V
zooeFyRbb*R1y%0<QdaV<-=Z~Ym$uhund`<CgKZ|3V}_dyRsq`M*`v%Y@|G4tSo8VF
zX?lF{TGz6rPSu=hUS<&M-#3W;#xYL21L*5MsoCY<&Kj^IxN>Y*SQN!>(7e7I1dqnO
zdga|M82OxNgE9@66R|o7mSP_KtjO~FZ+nk>(>eoZR=2v$ehNm@Z`ru3>e2nC_Iscm
zupR~2^%x}Fqm}%Cer4*t9-SK`FYs3J*X}D{+uQ>JbigOcXwd&K2#!D$lX%Ur?<cJ(
z6XSfIJNESPiS9LPC!A_e`Q3rop9jvVA}Ps2jg5=NBPLmR3<)p@_ymv~F~q;WPg6Mk
zytVrO+!$O{SkU*sBv1Z~O%}B}OHix*U3V3g<`gJ;(}j`{2&DgXh7|sqc<6T8Vs>Gn
zJ-0`&4>G)zlpQ~935QtN1)u(-j`Rq&-o(xCdB1$yvs1RN@;FC3!S-p%bCD;iWOo5v
zeux~qUV=Cy_}*DXTKog`d~LRwh@DESu6YZxM~}2NH0-MI2?hV2VK{iBH!~*}YaJo=
ze1bg=3EhU39W+HHd9#viT@Z8gJ}NA|CwcF=8==Yn)Ie`}kbl%bs3J)OLax`*nx*>v
ze@Z5Rm6anTxVUvPup^+H^6;D?*!(Ns$m-n;@+hKg;1huZW{r|bR>`$(Tcqss#g#r6
zzqIzCez2j>uxN!)M|<qn(PRp0gE;{^5BFbyZ+r?stZLhMU#5@=j<Y(|!rzvZ5LaHr
z#XXovOCx?7EXVQOh7inT*>uE}uDhyMl)GGP@hs$}BGH9$D-BBPIP|}s9r)K(NzU$F
z%9+@CYiFWncL1DfU~K(yPB|Sm#oJ&Jn#tOYjcWsvtxPV^lhG1rQBYoZ5Vwkj4n5K>
zT{md-=<f@_J|s)4t|VX62j4K!DU;eYZJwkzF01TA;$=IdLKkZj*izU!4%@FY;oIQU
z|K3!V!SD*$P)(BG>1oNNXiC+Oy$>Gm!jL?+&kp*>%?HTg<5raI&X|-Mcs^3J>)R2w
z>gck|AzB93ZTHWqIk*@d!J|GS2Mul41FwZrSwC$3ZjoCdaZK}$@6v0IhU{;Vi9O=&
z@f=KMe?a-UYf>eLT&KU!>N(zkmDyfevjA;}95x*u(;xLNw5P7X1-{>iK-M1BJAaDc
zzDti`X*H1h*P5^l$>2hgIcDbQG|t4_vUFu;&+K|T2DF0Na=v)H7_q(y@Gn4NJbnw7
z-M+ZImLWF+_e|f9K3GjX+QliLaz|DwD)+Pe%P`nk+nQYgu|dUI3~x{8w7o>cfs3?f
zL{v;GIY9#}@E$W-%!`5rLk#gXakH;!Q~#*k<2kC(Z=GH~v8@-D8;;>-Z&?0_ot*mb
z=ShIQ3y?m;oUS2{J4Drw@^-BapVdQnGhbn`cUL(q?irc0ldMHkfTK&AN57g5s|qFn
z>cOAU=1(QHDC<+7kp8Xt<uX<Ac0NTIt))%Pnp&`@F_5$0>)Ee9UK1npW6D@Nph@c^
zdw6pr9_W~T?`UWfdU+xm#q{^MSyi9+32}{m-*3)jiTnq61;~XEB<pJr=04A9Img?3
z0<(qB+k{Q~stlPm7{3P~`%HQ4Rsdqf>ACALT*{yOfzgu3Rr*)%T!!K)hg&aS9T0|H
zxHW~|24eHiM%ef&XLY7WRypfLF+QEoMx@BVb1|PzIffs&1yxXTltTr<c`{t(=RtF3
zMvD}SDK`cK!?)9oytyhwS0&oC3AKQj`0ocGYDd`0cc)DDLU-%j68)1p?Obb??gdk$
zl2U2L(pCt#n}Y`7ilvCvm|4j{+w0ts11%Y<e0j}0q~s-0!fOa)+<!DyfSevdwsP78
zI*(afFv+TN*se|{oEk-NgYxD^A~yQ{pKx;BV9-B0WmhAI+TiIuVAgk9y8fug(8cu=
z3HATZj2?oyJ@5N#=C<SOZ%aFyEwMPUuNps{P4S|YcxWK7nAo<o@%+2U&uUPYe(j`<
z)5C}&<RZ2I*AW%I!U~-KH7J4nM9<vqAOITtVPVYQDwrb0s5O{?2;lPpEtr4zSAO@#
zo?{CQa%pz)wA*rZqgMIG%=1}menv}^$xU6hZc@phoB!Hau0O>ZZ^YZ(DHw`{T&zSi
z*=)0XHnn3K%XtGS5eQe^gUyTZ@b)q<^mvnD_SRj$jjn6xF1cTowZ+RqvP{cC;{U5J
z?`7U_uuPjjYY23B4XGCws7rca<tam9ri7KvRH<P@HTtJ(u;ND0;G}O<Ib%L*z+~*x
z&NBePjT0}~GN7Mq|JT<5yE4#W*YRS}NJ_)K;nM7p8W1Jy|9zh|Vut#41H%iO@$@b;
z!HTCEhdUcZN)%A$(SLA_w^{(HL&BNZv_;sjYjxTq+rbJxEDt#UlnNe;Jt9ESH6pTK
zbmm(VtF1izV_n(eo?h3!VSiY6<fH#G;0`&S-D{xGvVxRIgLDegzib~Fe|-$>q)Z`f
zSlissY2cQF)p0Vhylu_M5=*=JN9^$$M|u2ds>_AcrE#_K>5F4rvwwg~AWQ4n7ipLB
zUaeV^uMdyy*<7NH<Mb6_<+gQ{bVN6?h%sqko0Hq-o5}4oy%ifFM<aaxEJN}qq4Qqz
z*{p{tfr(ac{>e~q2pU+P=U3Oc1Bs?Aqo9c0-C*8y^!4{f@mt^V@RG1$=@mh4w7Mw?
zf2vZa|AX{&;rO?>B2ZXqz>2^0Wi$RIfq@KTL`g?)b2PUdf0n>kIs0zEBA%b!hy)9i
z_+TTl_vRDjM3ceZ)3567m4k;B5JwP2vb?}K0iZG8h<HLq`ETzM2U0@NUvwAEyX_?}
zc^<!R=4ZY}|CT4J9{cKD|L7FaL)4L>rS5J609&bz2Z%5blrAU<=moDy@%UZ7f66Kx
zqT58~46}JxBEj|)b8ijWgl(OE-#_^X<Q+MwKRF#|mC9qk*|nK-%@k2y_llbDJl6d{
z?)v{WzY3nYVPhq<jXB@i&Zfus1(4_;T*GP&bG-X!uML9mk(DR07XK%rSfn7ANoUiF
zc|`dykXx$=rfLfP?Ay^b)_k+}CJm}IjS7EQ)n^LW0*|TDWaBo{DsVFiOhruI{GFb%
z)(Tha#=><A(%;{AhbaFZ$8r|LtNX3xk?ZZLKhZ~$M#I*<b-$`A`SPKrCErK^sspR3
znjhz5G-+vv2gd&YlvW%9)ekOv^9;=A{JRF~<QPK#Ti-{Si*g<>pfDZ9xLX>OZhfy*
zzgvd-7!7$uF1_A7cv5~agDd<rj5PM|sWL<z*f3=d$mG5z3tkr0#}3^eU%R8pqfIuf
zDgP9R|0;RlDg9r5*UL9dbukE<Y)y3|saV;o_?Vf=b;2n+6Npd$_q_vE1<{c0!E7yb
zj)vZ%w%5FL`c1^R?x=m*=M@vw)WQ*VE&lwu7Dkh%b%{OiyJSQ00X<Fy+!UBXb${8R
zBZfOq`Tkd+vkc+lq6wOXE>%Y?`>r}!k}M*Gy?*BhvjyD;-al|I$;kh&uA({cSSWg6
zOXj?*F#CJpHbp{VuZiPPj*mX=f09$+Pzh8gO4Lx-$*YA<vuN>AdH9r0%p^aE080>?
z&3AhR@B&REw&=fD{-SYM#p<ZfPHn|!CizS7aclJHq83#A+D)Kt#hy-qd&Hq+4x{LG
z<0(2VZu$empGh-@*1|MwK==574;x&<IL)oE2<y!D68sxZJ#>b&Up!YRDCU-j4veb2
z(>MONUbr`j2&Po>Kh(wu3}3(8u1S5%u4Nb1L~sZG#ZNle<YSmHQ59CM=HG0bzrsew
zk}e}t0MA%sS6iNWBtM;!{+z&Aoh$4}%MVq?GA7H1eOv!U+il_)Kl@3vbH~pcf^SqU
z^Cfs>Eg2NB-`_eKn-G|T>XviKP9ns8Pqm`%2h!kw(pTh85pu+xtjOrHAI7Qp3)bTh
z%y2B8Rg+zAXIswO*O%Ch?H1K~a}J%omIDrTpl7QI21_RUB770>L~^$OE2|!3%PJN#
zx&JFR4DirI_Eq%{({~)V<m|m_Hm1M!ax;sFKbFNFW>`oQxs_GBvT?}X)!fap=_0Ln
z15Kncz$I`N$Nf4VY#Yx(#(Lx5t_JjQ_Om7q@sTx{SMiaRv(7Y2aL)r8rn`YmM6L>%
zGvqA-#EJ5yxCJ=Fc!eZWug<BxUhys3IU%bJzdskwRS7Gt%cA<Xzi}u{XXk3JEZ!If
zqJ7IF<C<)w?$B!O$p%=y2H=JvTx@fJWS<SPRhMU@ZVhh}4xT$sagPC*e!Yv&q{>#@
ztO;>{wZPb#TREVlYD#AzteH$#ccgyl`QvPqu~hBh9i*ge?-HM662lvop+CA8$wYw3
zKREJmteVq#@-;KjO7r^*n9rj}cZmOmM<6+|aP{|e<t#<N{cCe!Et3O{qg0iM_)G;^
zfyY218@h{)wa6|dTECW+{Nd!%gGPUi8-ycdy2V8|D&Q1UhufY^1GoMqQ#mcXv}qHO
zK8G$DZL5rA3T#QG=EQc3V1{*QL#|fG{+wu&O>!*3<bd(+{PT0d^Sa-lRx#RieCkOV
z_HR+OcL#~{Bn?CV4^=b3+x$G`z9ZoA(|t}-75Z$&UAFp>;LEoCv-nJAqA_gAjreRU
zE3sOmzL*@Sl2f@4*NO=Kx~NzTlvUxscv$`iqiuxC2^Wmcz{Y}AIF9W^lS^8Z%7ZdY
zflR=J#RUdE_LW~v4aJrT*f?LP-Kq;Z916c7Mx?o(oMWc_{a<m+@|<JQeNvu_)1XLH
z&qZWUWF=T49iGub$QDVBA|(WhS?ur^>cxz?^b6bfw&190hqBS-H#B;uZ2+nM?Tfy)
z1@7NDN$gp8GjV4Mok!?G(p+#ga2+Jt7(hsTb0ZYHeVB-icHF<fd(#;`Ro+Q*1-#22
zRBx7Ukng>0_*o|66+OA-E(~TN{adtaQDMpPmo(!u<xs>UMhAU+;jR(0T8W5CtfK*N
z9Bz@zGMT(^0w!vp$qB03GPx92b*&h>P|vfkI=-Fx@`nEs5AMxS0@t?w;>uZLu_3-4
z0b2Mqv0Lk;W$@QKMA)XT1~@_5JYa@tt__RFA{l1V`s#=@==Y>d+Y8Pz7l0P8t*GI8
z^iM$}m&x_Fs+#3XKF#yHd+QJI0TeU{hLdb@PhLKL)PJ*u>3?PmWl+d7j%&GptJq9G
zJo9(`iXLwvaYkRC8V0Dc?}D!11M&t{;Nk5eQ@|9@S-Z(~gl=am0=;OvaGMxZQ9NTH
ziPhQa4Kd*IeP8h?O-{GJoDUpUOA(FaGj8%k0nTj<uzDAG6JWhJI19}BN^@r%Ko6aw
zqE(ac@Vw8-IrYlPIewYGt@bH8TJ@>(@kX9~>M`GdpjkZU-CFs>hdm7EF-I4T6K1!a
zWm@j8#q`+bu(6HZ>exg@sjE-Cit61g<F{ahO9+dKb~+y^c~v9tok~b%i`BZt=GSo8
zXbv&be_Oa8jLed#wRNTir7+@Dx9e!lA#2ZtN9S_gU+Rj9YC89cly-$ETp7@dX$<pn
zJ8fqyOGeZ~5O?n6Zw_v|q|W9BT!vmn7;czkt0CdNxL0}^V43m0W9yz{s4DzJAJh}Q
zDHSc*yo=I6qO#sqxT3w5d!@6z8Y1pw-BXL{rcAbw9#s6!mjrRfeV07DS`^B!x|tEq
z6)`FZD)=#Q<&rTXu(n^NGQup<7<VFC+uQZ?N@K5Ze?~%7P*hn!HIcDk(nE9JXpFdb
zCl|b@bW~hobQcoRy_YE+wV&(FXysMfm^S(q8fkG69c4wh=2&~Q+o<Sn51MATm@T0A
zy7cby*RNku_JHZe9N=0p@ZkpSo?*Q+d#wP@Qx2oCc(E?Abg{xpbAL)Qj}tBq3&x|b
zI$8H@x@g(H(5nd$8pDHc5;U-3i}TyxjZVy4@AquQXEY}~qj(}<{S!3&`n8tGJzI-n
znc}Fru=&F~zxB=M6!(EQuTZ<-z3mT>cJM$7>4VlD5c(iQ;9FbMC$zE3OLBI}%h*wd
zp*y^whwLAq@>Orh9tW+ZLCp>5;Xd(??IVO-Y7&YPZxoRxWI<$QI=|g~Pq2aq$<CFO
zza8R3{*h~tJ<TB9=t+um+>k>$#5bqV?>L=2Um4@uK?5h~T}JJvADa}(D4;-@K9_{#
zk{cZ<x+VJ6ht*|%yU;Y>qiz^ve%ttb-yCYZIQmdbv}M7r1&N9a+$Q}tQoJ#0=q{+M
zp|C3$pQ1vG#S$La5m>V$W`#LgkT)Q?gf9)OnGKE-qbjr&OZ^MCPett)etF3^f7XJ&
zPrVR<1GD)h0Ed0+x~zY>|1b86yL9)o-Xu>+nvrQq8FF@;56pc1+99hcQxJ@1V>p1<
ze?V{^x0Z2H<f!L(HblL<($U52)WZDTMw-F?C&NmZMAt*rjVAKb8mCdq@`u8|8Ani&
zlKlO%<R@SR4oaCEd*HrilcPQNm<rVHFdZ;|77@rJaqUIhFLA#G`0n$@;`bk&*~}_T
zd%xy`&(hDE8e6P~vor0EFKiYipsx&X|LA_QkO~?#)B`J#eXLQK4Fn?{+kOvTyMQC;
z;SB4bQm8oSx*TT6Oy=~w2`+P*Ut?FF?0Wp``5mS^V|o1y$0FO_ydRCWAmSJ8l4cJ|
zB{bw1eYL1I_rTndH$C8KdbsQkQJh@}O3k1o^vCfwPW*~VGO@XXsYis&@r?VHE3`D7
z_gs2?>zY!_HaUt;Iz@Ul20>T1Y!4E)9}Y6~LBHqp7{0qYM9~>uxhw_}PB=Clc7kG~
z7D5J&hwM|_hMx_5?i=UY5g==^zak`rY~+z#C%{t);NRQV<mJK-OOfwBtf2g~R?@4u
z)xNO^2Eg|S82YRhyhNIJ2ij{*_sMco@jm_7M_;#2{qu+8^~6`*^`x60{fmq5g07D1
z@gZr19SG_9Iih2-<FXB5F+;05w7G-GyCjFG>K0MpPkA)SnM^S?D7lN;$7^(~<@vpx
zADccUB+RgWgCEEb=t)&;q&b}59M$fze^%;Aht6y~X2C1A@r=NZ#OlkE`sh>ZpF~)t
z9;OZYpH*HWJ$>Uxqhag?mf`FARL7`PzWI}nP_Zb$^3KXJ-8vC+H366e`A+OcZSTjb
zqP@}W6yTGan>%YK>~o;p7DAcFv~OG9R&s@T-Jv*E>tr0^x?@WwNyi8#>SM+QtTA>@
z!S;jR{m0id7|LE9rMP*<wPMvDWv7Wm5%mL^bGHX6ztZhQl6C}DLbi7>$I%&AJAngl
zXAW!WoJ;ddrACiMzp0d6<Y4j$T4Cj;=mL`VQ?XA-I0$nHQW^y06_?5$0%!E#jk_6~
zV7*t-Ud$=mrVs;C(aGLP$c-1~Si}H8(|Io3@v{r%#}vXVh^wB2TGH!qDbHEZtE@TN
z&WO86dwYkV2xSif1^iIAK;V0mnUuYm`E=mJWzMyEzk`M&^lMAy6llbh=AC!##MS}K
z*{lKRFxrbQdfh}@tclWk9U3tkjoDoW{BWFQHV@2f*iHP+TH|-*t{*K%GS<(A8gD@Z
zp9BR1h)H62D~ERm`<Keb`w-WVjOAF`kyWAFy~*E{)7M1F+YDTPKltQ(3iwQJNF!yq
zEQh-<zHk<-whq#3P@jc^k??vF!0*d`qd2qc-PIS*YgZzn$Y}p3Md&YObB$3aORbJ6
zVrs`UOzB;g5St(N+hFNn@PQUSej=bZH16dH&V!os1U!}c!K14GGovjlG0$d@xisFX
zRj^;Qa8O@y_pwl5TelBjl%bC9hoK_H_NUsw#Z%K4Zt-~XIRwdJ)Hg+QeY!wbLbwN3
z1QoB*OURtC2a_j*XS=hum{VxFA1>cS(^TpEK(Y%Rx9Po}Bs<24X%jwcEsRJ_5F?O3
zM6vjB!owKm=WbaG0pjp8ROt0&0b9Iovv;p@o)3v_E!TGE$G$PYxo+Znh(Z6nI){Wr
zm8BdW{~!u?$>OM^w&_kbBc{xB-A5SAZkXH`^6cc_u*jcY)VTHD(-eK^I}|p|aMiU-
zsbdHseLN&+bhkK>-N(Zaat?z)b_dZrgAS`2<|U(Tq#Jj0n%=Fuh?w;Szq#x+@Hy7-
z@0Zn6#G*6!c;g-iHV<CFotqxr>e&kH1v<^>Toq0HudpFG!e87h$SJev=G~t+Fq0_P
z`$mx&nRL(e`iLVGQ1zSdqa~}j3v9zOA#Itdbj(-7m;yLRnc>;N;Hs-^clv>K%brY`
z-XyrXhpe|?g!!Vc+miC6%+R&Wnlve}0%sB$@VoLU2eq0&+EWC=wKu^oRy2{;#C2E$
zYxD%xc`x~r3!<o9HZaf$PD3;BQi<!|{7#Oo=e>Ok1w!?;W9XNkE-_>kizruz*L+Fa
zc=1K|iveh{On6vj@Zu7DfToZI{G5p8@>d4sLOJgqRkM9#zpz%aXgN&;BPmSVK*xjp
zB8CumBcjmy97y^+(r{M*y)015xT=Hlt+`lLvxi6xW8&iQ?TU^1ftj^etXRsU{7J78
z(EMtOetOlLNM8Qw=0S4+pLjpjQIcDuTUXRLsChYO=4ryppi=9D`(G~Bsa}kvKl>xk
zSHwL2?exoswg1Mg=zG@y2b#io97rGZXKD-=yGy&J#-e<Xw1wdUfpi!GzQdS=OY-P7
z-}lFpFls%+L#;tD2KC5`AecH%B9X&R01=`{c!M~KhQKnd6-WHSJFpVZscR05e5MMq
zoQ_@MG5dlQ?f2%+84HG4bob<gF%)9yrz;?ELD#10K2tR86;;IhpSKGL?o6)psmq*2
zL2DK4b08@$J+Cy_FNALQf%5{kHP-RseyEzSBVn`I*Lkub>Apvt)q@c9vEy1f`EqA|
zp5NuHECkqhp_RB@hSXS~Z<9?`Qg);@dm7+3Jgnn5oOX+|cKV6#n+oK|KS31eqxEhU
z_S9Q%i#s%Ix>#AMZLN$xKl_m7<>iE$d$Dw*r`)O_`}DR@hff~}>#dn#c<r!fRJ;_t
z{6Oq<Pz|s&OP^^1oI((ck`~Sr$kz~VuqPu6k@g>AMUev;)P#G*N?vrc=fxE))p|@&
zb6Pm+nxTzrA+q0~<Ox3)#tZB46`K?V&KXMF>wO+y7mp2w^GyQuGrZ$yu0^C7iC2mb
z5)RnnEChE#H7p;<J=EI*s9xGr9!TLf^duqzpMW5Q1S=l};MvXahhjd=qC)SZhQU8|
zM&;_YxjGfHVnh!q@R}BIKHS(00jq>CjD1sBNi>s=1XpKj3(d}b{i#|VeEIoXb&_Ge
zJ$eI16aWtXEyO*@-UrTpOdDT$_+Vs2IX-C#>B6cQK`HsDn^pG&+9#MV)H|IBIcbj)
z@g~PSXX;qoy?lsKROH#sCS6eeNjb=cHx8(9U3_2k`08dO)vUtO*$#an?>XU5ECxiL
zei_A_yw`YZ{(zN2=49yS$669sA%A9m`D1W|Afr_`tIg>z!5bE=a#AN5iPbWg#I#C*
zAJ;HH8Mh}-vA&DcO=u2Ik8w2MlY6BjEko$E9fG#~;So%9y^9pD5{spy@7w?E`1(?q
zrJvV0paE~E_%ghycp`M!Qc1b@o2-I-VSFO{k&$a7AbBH}@TC6~^}XoO1x6Z&u9J17
zdAd<7ee(EAmLb=W<_W9=<+8XKjR@JMKyq%t0F$k=m$-taQt6!lq`}OfXDyFeQmrAq
z!2r;A*q0#VqMoDTkQW(q^zvb%6}N3VuVM<o=zuYw?+84g)KC$(ZUhXlBWD-AMg5zp
zojU=bp+fLjFrWS1FeG{%ba9zd;_3ey{qP!KIZJVrx|rzDUIOV<>@tS4G3CY#CQjX0
z=;n%zCx0~JC7ktS-P`!n@$uf>S+7X=3>MX>!fNST$XNl&5HIFrVN9jnKHzDCLnfB!
z37T7A`Q^SdRX!SB>9I0-PU6+5(wV554MPn>n&_`V(!&xV&N9o$UYAD!tMfm$pxww-
zRl-9x$->$r#OJ?&2d=7G3C8Vn*%&_-khG_y!y$wUlfR&O^yuZ7UNcF$EP|N7fFFM!
z5&WwS<<@jXvsar&7_TR7E{^xT@{otlu}fa3re5v5G8Z2PI3mK8H&PTHVo0CJwNFNK
zMj#0%LBUSVD}YHd&@A-oO}q$RUp?POc9FF3=)Y$flK3y<I<QZ3$JiHN2CoP&P(pBE
z&BNx})v<KC3$GZCQcVj-C4Nj7KdhOYni!th=<6B`HjNUcGnS{6?hL&l&CSa7h_X~n
z3%vpQ>#a!?_#FcH_ioI*P-1d}H7=Z%GKtN-Yd0AdLX@#uLDI7d?P6p<Jgbq9yv{y8
zlt@N-Y3rrQ(NVHXp?g42BZ?hYI#K!EHTLaxbnGc^<2sdd>b%d<6ZwYQ=YkaV<Q)Y@
zr9$r*c#yy}1n;NX#>3H8c?OF-L)~>FbsxVISU(CMk^#O$Q)bf#I7D0cX{leLk{FP1
zIAjmLO>5%2R1HI|i)pYj{P+?6vDfZxTj{;|mle>o4QPLg*nZ)%r_(c*2Sk5pF^~P?
zhhrd})Q%31qe(zW6Xw9I5^kgu^^!fZXpUuXbESugGu3lB4l!jVh`wm^ba;WF*Y4Q^
zK~DBvL`G{6Z^sbD0gybFhasKB*`rsd(FpkchZu9g?$U7N{=}?9$yFN&wS;j2Y^Q)M
zNUbD|ZU6i%u)`Qn&YbprS1TEg>sPZF$<%n2#j2sZMvzUN{z@t7698!id>X5`4+yHc
ziuR}qq3vh)uRh}q*R|*>EvG7N1uysOd0uzBmVq$#m=^)1ZeF<fIYm>c4(holIq8Qv
zP2Ao22t8+mb5^Y(HlVJ?%Oo#>O3=gq>QcHL#nUg8Vo--xG355X;xlP!LJxSf9H(Gy
zEft*4Xos89tL<0T`@5r_SwS{g)M|d!cca)00F3FCRM7?<0rIIF6RMaXR!BZP0J8cp
zZ}R~#I298A#W{9Z^vU7#1s1^VCS%sW517uh685*!Sxu1O3`wWox>N8Y@<?bY8tqo9
znEqMlVz&Cze@SAx`ny06G66J?iUT877%-<Mm@m*wsR^aZxvEVyhP84%8Qm6#U5)5^
zYwVH!?jU7Zk%Nd-7T4{df2tB+Lxqi}elez^T>#P{&6;`C)F3c`S1TeoL@vv<?*%lU
zvL$bCcg=KPBt>A#vkvOsFU7??mYv+B#7yxc2{GcJ9YUILmk~J6x{1b#$!g@b<3%YH
z@U8Q@3<0B-+ze{$rV|EE9i~M`&u8w)B5YnmHUmaZW#&=A!B7KrkR)#4yhcEa>9Luc
z;dp&6+tctYo4Hh-dgA+1rCEFH{lN%!128^zyFg5;tY5H2h<3p;weeHd#mJl2qS5)u
zUHuMotzcNDMjQFDiR({SB*i4`w#)a;pWUX$5Wq!6$!~Y2+5@u2V}jW9FWc(PU-qj*
zFD^EYEBzUd2Slt0rn<cjmE7(N>v0x%#RL1MzK$c!SdSN)tJmGmu?q4LFsdCq*VYA#
zIOGhX%KCteDVMqk*|UBEZ0W0>Ihje|tUl~K1#2VW*Sz!576~TqKb^X+`t<zItRQEb
zMY4$Q%I@L)Q3KE4nyxmG{06k)EiAZ6Cy3{Ij=ptdI;}GZQnN}aYq5GN=KJI&H=6>h
z+m2UTVBYD^8v?1$7fT@_O3@cBd3DI59oIg?^_BcU9;q7)TVArqw?1Y$m~!vFca@j=
zCJ3zm9y}|M;i4B6f9cZ)eiOJYuo;!91^DZOi;QiC*aE2&9=22S=#B~0Ee1iom%})X
zpP{^K4oUo_uCzj~&9-lT^nQeSeGO`rPec|dS4{*Mse!ZDG(X7osC;RXD9>xUb94_z
zn%!Z>zz7pxjNUkSmHj30vj7Cqs|REU4MrS#w&>c(!^&rZiDTN~szw@O3%tTV)ZN-8
z9$}{M3eh+_gz7Xb;bElVBaA)1B*&lX=^G#WSJwA<bsC!Uk)xAdfBv@4qh}Se4Sg{9
z(G|^?2!^6Bp_t2B*^9+s0V{*Y$8Qv8^VAqlXSNT4h8Uulf9=bo%mxAyav)=q+#q>*
zn}ne-Rz5j3D0Tl-lq@iK&?@rw@deQLq4%Au;ts7i?^kkFEj^QoKO3hvm4M%Oi+xtl
z=SH`@^{kN7?SiA&uxn%?FJ!|c&2S|~+*$G=cO?PD@)rE%GDqJ73@d{nrWm%KhxXcb
z#GKUv4$^@uztdf>e(!avAw-fS6TEXEi;K6^>{uRrA`o?$t5X1ma7=XQK2)uKiLa1&
z#0pwDai<eG2);`0JM!ZA*0fRUzg^4R8<k!jZYHKKi@q*OR*^;K6zkm!x*}|`ICCz2
zEOC*)t-J2I`ubRZJx+W#&>+dS4*d|5xA-1G>yR9#mFg(n^~U@6It(HOPYu}=Nh#ay
z9EMdT=^pe>8b0&zx@v3VES!=vr6Udvc2r?4X;Jt_xjgN4+T}8K2uB?l8NGO%D=f~K
zyjzf;uJ7GRZzZjYpY5au_Wvvta^HpL&XsdZUP>|5ti<mlz|v@HTM@Wi3$j=iMdk7v
z>*-x)vi5vE+r|*``NbzI<00_RH`kHyU3mIs@IEkQTDJXb7(Qvfh1lQ&(3~gK3`C@C
zfvbxtLMmp$>?3nTokzt75pGks%%X%DgECwzS6Cbcy7(7IN&R?zKzAYrEQH<w4=5jK
z9A~{we~l(ixz1mQPE@sJ64QBAx9}_dy(>PvUIsG(%yAuz0`A&xEBM}fZ<QR#>uIH@
zv^J8V-yP(yM`_-qdx^KRNE?44Oj5_f)06XkquG~^$yc^JH<Y4b3AtU%2)xcs#ot|h
z9S;XKCm^No?L|5*e11XQp#IM`Oy~n4uLs_szm!gA<LjGROxpED92S&4G6ax;m$cDi
zCRKwGTcC?p!WQM4wFhrToXt{Z?EE{L=<+|RxJcw31Nja{B|#!*`hz$oID=U#>vQN&
zWvJ`4>5kE(7_G5fUjHmRI^($Mt-e@R<EK#5i*hh}1zaj%SoeTySlr)Yv&osRp8AWE
zZe8<YG+OBRHy%oewh!9J>W7Gf61<Hzu0jv=pCAPW>gl>ry?qZcf;ZA3O3Ys7R}I^x
zjbC?qHIs$NW;-uJ2ZYZOxH%hduk^2j7*W^9e&Yl#vBWT;EJ@nZ)VX=MZtDzu8z0Qn
z{<y{`sg<_YwS6iB#a!)U<`BSPFzw%a)?3D4LH?`gTl*lds&qjH2T8rpf5pwu(_3Z0
z)dfRf>Io<m)eAL*0wx}?M^WgPRp3L)w9OqyP9%ujKlhV3k*lI<lhENjpOLRE?flZH
z*?oV~+gVkO>C9`I)CC3`N4H~dri{-i-e;)TsQ65YK3NgHH1L7>o%c7cC)=LozT2#A
zIW6&noaBHGDbfyLfhQg@9SOID2WCUicWR7}5?pR;B%kMT4r+b4dDT^~nwe@6D)>M_
z{1in?Uk2i`T}zBxUZg<3^7yDsn=SpymE<*A#89OT{d5|~7&2+>V;_l@Jy|$!@nDib
zfHk0^5O9Xem1&sSl@w-1@(d_Mcd5SD1%s2)=vsDZw}0x#epGTAk8VgP!`+M`5h=sP
zv(YL2cH<t|H~BOtz=v=z6Zc3(79%4*ZyF{d&scvvAf*J@(uk@=Uw#6HUm)?!7<wNx
z0^W57%=o`Rip-ZE9y%dr0mIZO;98;1F6&u<^_be&xUa+>y%HA}XJ$@%@8qP(i!ENv
z(X}gzNt%L7syi|nwQ+Bp9z_3Hxa>~kr^v{tjV($MJy1^j>X&=rs<Szanp&EQUG4Ur
z6)zmjT;unSx7d8o?;pi?IWY?)sHSp9s-|w+rhoNnFkaEUuQBuVv><(T_}MKlb*)C{
zG$)_r32#?MZPCJAO+ck?wulcG<){ZSi`B|IN%Hs-P-PVFCo2tWM{fz<P?;5Jn<VmC
zBV&*-apik1uf05}LzBHy<-L=8c>0FH1RNhD>~p_@C{4vE{KiJ~<$?R-&rgOS0tm>S
zOGc5A?_o!^5;LOZod?=t%T;C7_sAG6z8JYq)bA9=LESTbk}xW(abJ(b({lApTis;{
z>T)yJOY8}%yA6DR+%CHm?Qh0lfbnU+u607OQE|UH=JhPq;)ufpeXLa?fcgNfdVj&g
z>a6RbX)cutG;d{RdAZ`+8jF)Fay^Q9>v)+mlMS+erQbaQ&0D-?5XM_Ito&l{k)mFs
zQ*Utel6hqgqrK_gYdFyE+?WpI{&YkpI4EntFzup2que#aqQz~SFWnQrlIrk#wxwBA
z@L^lXT?>98&DlqrUSvlCh+(s6zjcZMDaVB`dd5lI1?ws5m?SfPkd>wm)#RN!37t&}
zEy{6rj+L}X+N&GmxNwXB=BR&$0d~<T2HmxHyo_|2OjkXAzy7h0A%jP>%oT6C>Im^9
z$^H`*f%ie=10ZWNeMdZW>|wCE@yg&f`l-n6kt#gu5ypJ*glNOB-|10bY|)0EfSuu>
zWE3#<ZOV=3dR%j22D+RQJD;`!joUJ9fyX2BZYgUt_@DfEp6;5zJ;bZg6^c&6y_lqs
z+{m;u%P)t1K#26Ca!e{=BIDHo*!yvC*<%<{xdeSqv~WL?V0jfWdLFUIG$Z-Lr;!XH
z+aaabPfnJ900f}qJvmq!qTU23RIT#67z@`M9JsF%wvXNrNqw&``6$RUc?O)K3`jZ5
zrlIJMq!rYr0s~-qt7(cK=m5w7DAR;lbRiWl-lOBnDI-=tYp0SF&t2m+!7Cl4{6o(I
zj+@rw{;4hZFj?4<9eXfxiQ@FTTA5oR<|rmdu)qG!u@cw)FOr#0i-XV~lzy5?CuXd_
zQY4N2q5MHIHBRinO8D)r&>t)R8O~Odp`s&86FTh=n^E<JvXVO|iRA@BK}V$R%f3`g
z-bj=mPup|C7g$REI}Wb%o(akadhV0rf2udxv>UQIH)x1Ku!h`MV945f{_56nT7h0a
zE%jU04cMcX)=jI&F_y>Q+Ry>e8RzAMXXWMbaw~QVhot_M#2=&qDMl+!@nYO{Q+v5U
z|N5_^sf)Nh{2yZ9%r8z$#IDxgr@tTmM==K2Ni7PfKvr5DQAb54$H`F4QL{;&yzrW+
z{8g8kT0@oeyWzA#xoU>+^Ou-x$bq8=I%$c2@Q>5o49oLVYF{IU&tekaZTS_|cQuZe
zl<65B&)f@j>Ss<XYza60GgDEi7?67D1!`Fi*I@LS1FRNcs)fZK$U$M&NHwzt0Uiaw
zU&6Z>G7Qz=Ik2MA>W7~6NGpBB3Onub#sLM~+VB3TkVub{Hp7>~<Jl??`3v8hkHpE?
zn+368brw6!c&l^!mr=D)vtvi-X$i(cGeI(rc_$35+Wx#G+0Az1+lU7AL;xv<w>Zd>
zmkdD)foy(ab+mx~;w?Bk2mBzn_9FM%6w2JfG$(iPGr;xuor*yt#8he4xH@)k3rV$J
z`}2}EK)Bv6Q-_?*XSt1g4VR@&7jL$BZL5bMV#w%1S{jL$oX*CNT%130shpI#%hL_>
zJ1oNLuh{)}2f)a-_NNS38l9ZToNeUMw|VyD7E?2KMf?g;yLYbnJqjbKW?#d<lz!<g
z_ofEFi#xvuj2r+=fEpgE=?Xya0NY>}l<i*qZ0coho_7hxGjooksQ2+~^6r)Q{R&-$
zlhWJPT$3JFCH7Yl=r(9SBEc6YUFeUtlJ)r}wXdMJFrDZ<%Ma$(b}#NH@ZO*W#=uZ?
zvrn$XP9IZ;9SuCuyhHit1NrcB;hpHMGW3=s3^Cww)$o>c+^aAjS%mTBdUE>heEaS#
zdK5Zgr#ZLA6&TA~P(1_gmGE@3AO88FT84)Adw)&_88awFkAW%2;Fdnuf&yf=cK<s-
z_?FbTZM#%kZE{A{N?$z#>cx!WtBWp;3HRNK3{d8+QJza7+KbAzNYPrl^Ya;}(m^ST
zB%!W9DhByKFwuPgCVGN7nbJ|3CJoEA(!9^3mM2G2bXl+b3o9Eit)&9&*(kiPt%Lo5
zI{|#DrNj#>p23x~!AJptfK@sQ-ytN-_AtF#-o*dq?za$Bh!wj1ZpfV5!QBwwwZ&la
z223kHg|90N|NQDOoVLs}{9^|+v?UnrK4OCU{J@>%+5<??V~ZxI-w-<ngkunzW&|b+
zMju9>`v4c2P<WpV@0TIb=ODlSc7WkQoioo#W7-Izdb3qdX1j#ZvMO(0YbB28PovGZ
zBsxW^Nd}<L@6ov$<2}c^J4)UK0CGq%aP!k}bPT`x+u``{#jD4Xf#1FvKP^mNl$q>s
z@gp<*3|O51Fd&XOKFSt>9`V3h&Stj1+H~cO8-^5&a5HOZoMdn-PUiR;WXb3?Vluqf
zG{$v7&B(*?GJU@*poQ&`q5z`~9GQF%+F+b=gE2X>IVRF>N*OcGTXPGdNS`RQ|6>R^
z6Z$c7;O^{@%;tWFhRo^M5)3_1t5JtBI4?uM9nrmQn4?HYsox5NNtujl#&zqQCb5Yn
zX>t+>y|1`~#_^(LB~<%vmC*P_IWTivjvu(hCTAi(I!-eYmhEX#{lP8l8{$x-SF3{;
zkt_8w_#S<Mty`VlXs4Rt$3N;H%MY#X6d04U7J}B&Y?aH?SSErXyr8G8H}SqNwz7m4
zXS0=l3eWt_n)x7T1;t+%fQR=ehLUdRh1_QyI&INw(|V6$#(#vEvc$-}e9Yp*d4=AW
z0_Jj6J)q}Ew{yRF9c9>z`nUwVs89<&(YW6NU#OmU2fZX&PwM9`w@r%d-7#|6$vFOG
zpF7pZc$gvX^yV-w1EmeHwE0F}y?nJh&A_ENWJ}MEg`3&&%$YtwYgZg=Lzq1`ApUL>
zWedPfc=+L3q6^|P2^BKjju+d^Z(SbrMYLr=*72);C34=qg-0AHd2?}DS6<7KC|D@^
z$kaERY<RnQ!0anqq<>tnNtgJ&k@s?sGrfrB0Lv!KQEB%+NtAJz5PMD0+`<?5{Dg=l
zCR2H_-<A2o!`1aR7&#nGqalG<O$i)ie)kFX5h$DqveW5tjb;vNNzgUkfKz0Cn$KRn
zBS7P~C`hZs-$1FtpCEjB1}{<c7YH$z^*(<;L9IbL_8H(~O>a^rJ~aE7zSzZ}xl^o^
z66dJNEdOl!mvGtjp6ytGuLw?j$xc9phZ~sU&|otuGVv0>CXC{DT~2(*c+Zfy%kLCZ
zOcgW>4n<2%@Gv|7&Wb2&I_k+e=$KGjLPe3tksZI6K-sdOH)H@hVP#keWHg5~!BlUh
z(v_~5*q0_G^p9yAh9K;oZm|<6vf!<Uo_ni+NQ3-eaf_cKH`GsWeFU5pTD#-5)rm+S
z;z0ltdRePM@09lRv`>$#7JunUyT4o?OBm5_l-x0y@IOF6U4qHNFEkIA4ICPG?~B*Q
z9f;YfZ(a&D2ei|n>`#G0FU_Y%Lxal!@U40+dveC*#&!vN9tG)4Ij-49gfvU0EuLGw
z`Bp<5*u<I{<!MO}^swFXH|W);<DslE7H2I|;TgisX?}?dFQ&tLdXG&#Spj!CTE^uw
z!aLz5+|?#YX*bB3>|d@Dbevq3LxTGuKQD+of+-}wdjeJ`7!T*I%XC<4=-|HN@zhH6
z)ly<kG?)6kd0aSRL}g{)rS3B#gAvsNSIvG(RCNznjRf(%X%1TZP}jM&vMN%QZ8aQ?
zTJy>=G9ifzJ_)ASA>zQVPZq_XSG%=lm-y^KYB@PH@U?5(FZ^tbe80bVyS-Hoamv8&
zh5%Q9@uSx#q3EvI(o%}H*Y-&Qzwt8W2o^=jAwB?{Og6Yvi}4@M(nWWHSajzhul68*
z{ZJG1QNnZR#n(B~r&Rau#@w_f$8-JVwi5K{K8%Qs4cFoAgHMVMc-~nV5<-66H4<#`
z-pWMx2ms60;>rOe$5ya>yXyxnElrbtC)?61hNtKprD$&Ev+DM6tR_cT+|u^^qgr7R
z6Rv5uz-G$|P~b|e0Jm#$JG{w9rfMvebzV8LbY)bWRAVN3F~B`CSG*gtdG1wI7LQr(
z#`q8%kRkg#J3jKN=t-CLG?2*Wr{vKwk8u)$&*d`+o)J|^<H1wiCd9^QzRYAe6L#%t
z{xDd2mpwL3$U=SggYr`BCW=!nSz8(~F{2&K0Ap~(&CCq^51fl}4m)5A2}bVIMWC5e
zd1@EdzMLPlHE2}(x!zvTz!zvl+=`P*Hg;1qvjo&`BvvvvAKta|ubEarg!h*g4~UJN
zFr$p+G<1jq-^)QMFHXxKK8aHL8>IQkpUHS!#&~wVjz_TZi}Jo@m=-=W7?AI2!i2hK
zUN|CJ_#&X_(=xB04XVzqNE!RBEga9<mHpt_IqzPrjLRJ>izu?Q3yO7A<5po2e_+d0
zr`A(o!S$H~W33L#Uljy9<m=aX>BKA7+lPL=e$%_>wY_DolB>SI!@X-%cwP#NK{xon
z3XByV-%9(La`n0%Bq|reYk$fv%2#2;zBX?Cies&L7HW9_^WH8A2f+P97uN@y*6VJ(
zib001-iNjH#<gBB+Lk&oU=9NWNwbpm$dU01fWrXa_bw&qkK3AmzRjILDngi8!;ia)
ziV9oVkz+Qm?UqL$!dNoY$^BIaBkuV=W+@{wbVKM|KCXF}`Me)(uI^di&s}M=%=^k@
zf%8qR*-y@)`15ZA{*?%<w;6vraNUT@lKE~Zbae`D%{l_SpFGzSaKtUY=Fh$B3W;KE
z#DiO|1M3iUBolBS6yP5SN@bghyN_LeHlomA0d?=1*IzSaKh&zfk1TbTCvc=|+%a=#
zbh3VuJH`RT^;05kg+;87?E}bX>Mvg)pRWq^LA7D_(>PO5#f!4qJ@1YT%yM7HI~EU(
zD8KQgLA5Li<bM5TCqu@9TY}N9rO+(q4n4%C-HU!uX;x3(NIIl<R4o-_+q`SvfxYil
zz8+VaI2QPvv1mEpAdot!hb&~RI-Q{iB3+PA$t!@-eC2$w4T>0J1-{J&J#LeTWrWD2
zVI{|9u<_1|JK)H&rn|p)k|sn((c`_C?>SN2?tDf_KJh3w%m{B<|MW49o$v5`G<q>q
z)v?9xT#Mh!tIGy10CSqT)|(`|>>&p0ksOJsv3jqi)=ZR`gUO2EZ+M4}=h9Mfl-%X0
z@J;WYTTHjPd~4H!`UOs@rT2qfmYqy%pvSDvcBUC7Bb2i>h(6sTaJGNG8LE*kO)o3;
z@%?%M@5yssZJEhx>U4i^Mck`({c}MbEm7bJeskdgr;HbTKx+SJ2XH2%zqiwmj=xhG
zDyZ^SN%#2+V@(Fn&M@ZWfZQgI9wp_o>T_csT7TcUhqU%hha4eGw4SuTt|nvC#T*y7
ztza@M$=e_=%Mb_Q=NVBNr>%*j>2Vp|!0jX;uR+CHzqPA4aQTG3EuXm>N&h39D1Xia
z@an~izwi1mSn_&WXNryR#tTgegGUNp$|aUPr82^}I$mn=(Xs4|+&$IqjrO%h?z=#y
zI~&(C@$;v@j8_A;RDj%GM%L;K`Poy!>AFL@XOC^}DLDLG=14wEF3yNo0e*uDFOmfZ
zZqq-we~QT8nCq(PEO}<AJC7D;uM07sP|-9_r;hmEUk+LD>V#}@q|l%*y1;#id3NZm
zT~B<0$=hG`(DRJr35ktt1Cv}AllO0KGr<Vu!b@As-`#aY9YQ?H-_5rRc}Q*q8JL(G
z#O4k$5<Kwdk(`<FN9Tah*1#n~-l+48%Q>r@D4s6ZUekNa`|BnpsD1RTj2ZTR-jMR^
zqf$pXlxp4Y1K47G2u=E<ckNJ%H#udf-t?M@_SmGocXeoSbs5gf8mi#>?}<)Xak}21
z03U^`Uuhn5T;z)VXZeJRN%PK=X{8V4<91C1P|(ZfeQIXE<#NZXODJSL?Hws-Kd@?Y
zxhn%=*3Tx;=rs}4(aSNEmQVf$qChW>P#EXlP&hr9oG|9)ec535^IV|WY2qZoSOpwA
z&eL<Mccf^)6<^?E>^{8@^H{n@+fuRDu>I9FHUyE6H!h1Qt6L5~rI6bB!SEp8dA~P4
zAWe`s@R3}m0?h|UqEJ7VP|#%6mBt|}nbw?U#iGHt_^Qx}q!X?$z*bu&#udMvhV5zg
z8UT-4nEo4UYhPpq*ws>%A?)p&8SAP8P9uU3GF>fv^Po$;4;ax|JFU9i8mT=*cNk}B
z<mf_18@(a@)Z}LzezPd#3RyJYuKvSLZAzoYtk0=~EDp9IXTR%o7yN3eZa3(bGP<0w
zdq@W=Wpw%&g{Oqzbe?7TwNwqxg8WW~SI8yr``qn+J^+3@c^_kf+81ya2MSCLTjs|F
z`R`i~<XGUP{I#LH=A5Lw?PrVQFGk+xw)o=Tl}Wi^R-U;{1(cBQ<z$Fj!|X3R1pJ*2
zxiEe`G$W<zm-3_RHQl><eW}!%^t5jqUY(VtVkrFInd6q}qK?R=eBVilLyoy6CXJn!
zGXP(p1ejqJ&Af+%_CuqK(`SX-oQPsAzxN~}?r&|8(2956Tkv_z&VHEN?%XYl5+c)7
zz2frDJ6JP@O0g!uddI4)GD?Qp;zDoRDs$b0xa>Ltga8_^E9||0a22FV()(5-B^Ee&
z%PxuFQ<QZA@sv-c@LR-b;cUSEHRgm!{uvjB0%<Ak9Mx%{@?^O?gpY@%vMD`zO$QZs
zquqHrpT_;L+EGPDJkzsj@j5Nd!u#h1a5ji=6tqxT`nX+|;q;TZtL#R|e(lAr8%3u8
zF4X7ecD$W8IMXFe85!i`U_^MSx^^%p6MdSrI)3Vw03c$C<(H#Cj?{+UD^LI)tj}uq
z6fx*{5)F|Swl5pp|3a4bDa>Tb;1~`PH6v3?{(m%m1w&L_+b$r|-5ny`-K`)XAt)&&
zAYIZqAl)5OqcliLcZYOKcX#K+**x!e{=w|oYpuQRE8$OPpiT=w945UwlpqKEQW@lL
zr|a@^WQe?wuh_k!4Gf+!Bg$ym23Rq5)Q@QBrDX<KTCC4!0(zh~Ub>*|92bx_16Q9f
zbbjiY<56}<GpVqu?zJg7c!h|B7O%rsZWRk<Cjz$Va0n`m_j&q?6l6nnV|(<IKeWZ@
zW@6fsDC(9`KVemEr@&wu>F3`lqF*T@@Q?WDQr*+4G9{JN>*v*n(vs&hvd|>9x>HQV
z^|mkNb#tPZi7MP)ch=J4C!^8+>$~6)n`{EU-K-V9o}EpCnSl=52fmS`7c`qonXO?&
z%*YCSNDm(8ykZv_mWwBHWFl*L`2ltJgiAk@7n+h&Y@Mxg2%cA-+)r-g^Txp?T(R@c
zOyewrU0h*vkjdYX^oVJk-7XHjZuLKz_V6*t!+2Vj&#B|8xao4R*~YTqb(x>2wr}!o
z1$m9fFOpZ>uKTIAq7UA}`R;nxH9;i#OH1z-LUq}&(5{hs{Pw16q(6<Z@1UX}j)W+7
zTo|wE9#wk4Zzv#Nc>6zC8rAH9{Y!(47I;Hje_VkcuN9f7+~@x}_WIhPuYEO9;JeAd
z(?HfY!w<***_om7A_1G;A1po`KD*9}A5|;ydv=sb%sg_j!2J2{h*unoKovUqOn%>V
zsx~Z_F^}WxwcQSk5O@bj204H8AvsQdt+Dq@>DKXZMis+j<>4QY9b{{4fH}78de*Mw
zyfo~{h41&~Th2_L8Jw?tAFZu%BfP2q?M!cA#}Owl_a%LR2FY$)wdXX`-?ZiuM8uJ(
z0^0f87vTG+HCmB#m8W%U_E4r#>Dbya>=XB&yKsv%!$+9)04*rrMafytB>&X}1y1`J
z!XL_S(^VS;wh8ulHj=e!O3`$YjZOEmlkcdn^F4qk(GW+H$d)>5z2XuFT3i49LO-m8
z{uQa=-=5L6=u70Y3_s9_L(cSU$9cN@G45OFbhdVyUB7}VRmGXr82CWXIus;LJkIxu
z!EMs=_+V}tW)m?TrVtrcJE`S|S5FA)j_+Ql3wZcICG2qBMEcotqYy|=>L#Gn;BoYY
zefWlxyS&WH5ST=c4j$J&bTgfh_d9{aK{jwf5TF{y`gbCi785;BH{Sk8N4pJTW50!2
zyr6@2S6s-5veOoW;oJCr0j}G(6^9>*M>S>tdoP_w$hczL@$yo$98ZK<pBF3FFVa<$
z-c8%Aa>STgCBr>Bu2#C$)gJ$HIW0R-4^G<kq<xLTOC*>k_)Vyu7fk@s;a`qzY?+AF
zv4~v5ftI8hIk}G4N*H$Ca(tD=kPk$t0wD?O*sA{E+qw0-Te|ZbPUT8D7;;XToI#JQ
z-L+i-q1wV|fv|j#-@{JYS}2}hr3p*?dkI1$`5+lgk$ax2KQ&$X6Pwe=s4A~s>hJ2*
zNahpitLkbBV+(2+C2an8tZ7gqiil92G)}8oavRiBA%Fe+Xbl=<o&WQ#-eGGH+qzm8
zS_SHWtQog^4gLzV!?Cn?7ybQpudgC<qBkN|Dn*t8&dA8yp=SG%<7J!Xujn0Li7-F9
z(c29eDkCeF6jHh{W;F`Ttw)IxcBo?fI3)`-$_B^chP_kZiYf^2VTmZqV&$B!PPJ3=
z`8A>Padqth4!IhSdpOhq>Q%PaXuOe2UOBM-z$2SO+lJv&FJkI@t#C9de3)9&OcAqY
z%y&n}Z|T8hDtx{d1Jm4FgxIeAGaBb!NsncJAFY!(J?8VdWTW92O{X}@KcL@be7~G-
zz!m;fW0J;!qU&RA2<UHn=^K&^X9rzp-nru3>g=EI=ywH<(dr|MK@%M=hrP3NgES)^
zYQFt0Z+IL!@mPj|TaF)p`JZ(x;4LlVab}3a3shV|4?8+`&s7iR9lL@o;fze^fxdL{
zj;OTEI_<}j6}4OmO;zSrj87qT$!N&;+)v6<=jxizXRzp7gmHks{|mGe8L%2@ov2Uf
z_>4Y|+5K>`n}FHZZsd0Z*<#*(%u=w3yGvxDD#~EwaV4{&Ebh+No`?7H0Vbf5I^Rs8
ztf}c)o%{tEKj^jf5gnF3HisutJ8;j;cD_;-KCK7hrW85<hz{dskUcJgQm}N!5Igu%
zZVCwLu4gK5!i=+|jvPTxOX7p{A;F#R<mlGo_V4#<KHqh%r(xr|6G2&UUvF#=Qdrd#
z2ijBF=;U4|zyI%6NsjdFFF*zAV((~J7)R@+_iMM~>F0&qEQ7pkI$_Y^r+N;^MqC<L
z%z6rCEmtemT7Zo8C7b&YD}tLvj6`fu^t%wt^MZKf#O<U9-(j3AG4`ZjpBOuEcRWLY
zs2icw!lLhHuV5j3lN27cVPgUhA$cJPpX7%**B{LMv;E}+=ttJjo7P@FWM1me)6<5(
z2F`yJ<ZmbIX1t{s^~!>q4gtx!X#8CDIbI!=p+P%|)3>X=h}8~~ng3h<>u8<$WFCM~
zV)g#GOizEt?y1M9T%F%ACuM$E;&!P0cuh_GRO7yf7$os+RB%qh`8?Yv!(!36uH|wb
zdrdJ~Vze>cj)l&8d*@T1E6zn+Y+K=s=$2o^wrr6lL=5X70~eX6fu@JTYp?Wo+2b~l
zFecGe|7A5}wjQn-gP0C)yXb(oKMCDG6S7z$@c3h3Mvg{C{ss-liAL)WSo%z*!9*FN
zkLG~vz>yzJ3UQ7?lf9%T{bwHX-?b6A`*)uC-?h|?0f-f^jV#I>tk~>GLVzR_Mf7k3
zo)G7o?=)KXkLGbM!ZBNjXbcJ*-G$N`m`#0?Mc13hzhBu58A=mu#BtFNdh-A5U<{Dk
z=7;L7YKz>?o7K^0=Eq|q^9&f>|5aixhv((Rd5toaDrD92g}&E~Z?*I_vTfJ90=J<n
z8U=&5vm$1)U8j^34P8bB&!)OvRnf3O$lv_FSDq_k3R2)M@Vu_PSw>`IX~V0|qWfEs
z%fxud#`ugk1_#gu{5!O-1IkkTmH56$vz0}Dy!i(+N5#{Nr2hSvFGuhaV8>T5fq~~H
zCp$a4gLEVGT<-4%B!Y9-x{a!f;cG_G1;-}sL2=X6Wxg?{QqkfT8`KJ?j&&OgF?z+9
zs@r~MVd3IB&i}rrK|4AbS77rJDx7(v7kOw+c%;Nf+=hV>Q_*n-f<O88vPhOD)ifpd
zl9N6EcH>VL6qvj(v{e`a){CT^i9IlWj|pKX?@#9}avA>j+Y#_P``6G>*B?oDTYm<8
zyyDFG0-E7zqQ25KG^*kf)Mtw_9=->;-o;Hdt(g^PKLM{vOTxwZ(D3E`iSJC#;{-i_
z16V}m2knCvsCq3wFUO7{hU2dtM$;PvHQ0B6<g>}6rS({jdi66pJEF9QgPdH4+%UE-
zrUOTyVs$VJ%3)B#f5_+kk<z~W2@W9BW<j)&b=0-eW092C$f2}I<s0iy-}h`n?O85G
zI=?#-)C<1L-}WX}HY&qiFu#`dJA2jlze|(T>?a*+uQAcR_X2PR`Chv)vV^bmw6`Pv
z(JxjgOgDTrHk9bm$zQ*M0o;=9hPn>Knp@;fM_)&t#86=@IqA>v1sfkxn)2hMB*yYz
zkDUUFH+F2-(I+y-)-ul5lN_q_MQELWL4<0sWLoICV&&j{R2E;ZDVke=XfKsB@|#q-
zteB2}*0z8DwoVW+6T$9W;LqM8^=E;{T+OOhG9Fp|e;)uYSCBZ4PQ$LBgbCMmjWl<>
zE;ed~T=c8B1fsQ^hyP6<0rUY{J2$Is54!_asSe@#_;tb#G8yKeTHC5f&v<8+vrKsX
zl7m6x;pOk!BdX~K5Zl#+k+VO*1AK}%^QA*u;^2~8x8-Lx{^<H-d-IqcE0oIiIjds3
z*4^q872YXahr_+q?6fRqkHg=-K@^kJ*J)v>g0p&qlSbU;y47u<()r1oP`k}x_F=ft
zvHf8eQc$;yBKDvwuSLSC2RR0TzYUf0eW!YllRq$`U`@GG)*Sm#DI?Gb55koyX`#4u
zc-izq=Y$_vVLhmUpMgLu79AbqdX!;oK%L+qERjkt$N$%WK@}I=rIPXd4S^~mxEE3v
z#r=~4Tphc1Z*CQu<1Q^wfct!2(ZaFl(Td-%vNu{EXduFw&3YTpIjA~1diE)pkClG>
zJ}if}T;(eM%@oVbgXI$+Nb_~Wly|q|6rqj0R*GX|E+;^JCxt(vOT|`(-t?W%ap2Lo
z7l}HbbEONkC9r3T*f8V=rqN@A<!ZVIQeDR_csedy;$Vf@VR^2eqtdEVZ<qfeY0Y;l
zW^YXFsEn6Nm;9>q$#Lt-m?=6S;0F@Ty`u|zRC%)^41l<wp46nF*Kt9o>T;P}=z*r;
zG8N@}fa=LGOTz2hLMbQpOI|vT%@X{W*GcXvSq2EK)0mH(Ki57V(L{)^|22yhErb$+
z@81jni$>gL;g3ZgDYub?JLLYttfjfRzpkMnZs2#&05L|kSxZaHfQNg1j6u^Mo{I8v
zpW{ek`>mxVOf%E@0l9Z`aVPuxWY`SSC>D86R>CN>|Kb!@SRmD{gj)j5^D8S0bE~Tn
zi0jx)@cUw2=EYi%B$Q0>@lA+OYC{jc%<^h1OmECofn4}4jw!x%uT_-4?CdIiCZp|n
z7{$ZJ`(L%HA9v9gtI8zqzvAm-%4*v{K42*J3Ulqm>A=xJ$-^TqFukmM%Oe5Bduf0J
z2#NDMHZx^2uLvXlyNy1}7@?7(8ZC9AJ|}CHO-w&a34+XPZ0u$_LML0++7_G{V?srO
zMAxdPYcX{+uncuPp^UrY+685VtUZ6$6P?Rb#{Q-De-=N{y#?G^1+6EjPhVDsEfM6)
zEL`T{E*q_G6*&+4*B0!lTZ%J}bH<HGB3XyrkH^WJ!p0uU6yrjQiGc?%%^D|jz)LQ>
zXYg}WEFsi3W+^E`<s+X=ctP^Q=Tb}fos_oUut78I;=IRk0RZgNy!9f1)r=na8NALu
z!GpBR)3+P&#EPw0MXk^ywCSN2vq;LgJL^tcsPJ(eC3+9%U+YFFCDRH3?Pf|oY$qAC
zi+G&Qbvmku+!Mx%?&_|aT2a(D6Z$am75*&ilvdCRnEP&X|D<6dnItsirTJw%S>rVf
zMI{}M4#z_LV)iTHft2Ry>fxXHQ_?6%vP=6zjn^tAT!pJ?8!{@qcJ29(+nCpqfi_bn
zm~^G#g0g<a^&ei3^j=KkD(b~{igk+;Q`_<ud(7du5X-4UOl8D}ApP#+mzYd&Scy;0
z=gAm(%pX~iX|PB~+($xYlWNz#OY}4e_qDP;Baro_xQ?;US58Rica$v%7EV|_=s>;&
zb~Cng)>+XVIK!R<{Q-A4W4on2OU@dsNQ15^k+xs-vq;3jweUdMoB&LXC5)`!*>%TQ
zj;SMTM}aO#Aw~D6&{WcVcqGHBPP^1}a`tRA)D5f1|9ZK}#X|}R8EtR7U9<&x0-2o?
z4OqhFv+Lwm%`e!wG?N3B_A`PyZvWc$kKLQU{F+Ay0_UT{6C~kWjrZN+?h6)aFE(T>
zqPm$CxxQqz_M{g#g>Z%@e<Q(F1mj5ByWr!rh*)YMo^nVz%m0`+_g!Tsq>4QE^7}QH
z8SuGy4w*h+^xjylV=IB!^L2D+^1Bb9n|J)sox84~Ytr`-<ZN(>r;CHCoqHb3@(@)#
zTbX7uL7N%F8q4uj%OYxz)_wA)E|CRG^D?)`%ZwjBoKYAkeK5c#q8GO2zGTmQ1~gsO
zpdyFQSj(B9;SWMD(6BQpgkM`>zR=Z+d^_^@FYcy{<IbOH<ZtPp=w)_zu;<?`8iSxW
zK^I?xEGX4;e5w8IC$fClK9_cg-QnXQGILT|K?vb!K1_r##(?~XqFcK~b$>n=F!yl{
zW!6&)Bf<_VgZgB8P+Z{F{6(7m(zd0oXtmy;mJLSCxA*RDr-Ix?sB$m#>!(S|s7N+4
z^x~*4zW&?f%_ZZKJm9`_On|j!Py5i-vk;MR8H=5^_g$%th_gIbxAc)30e-lhPbEa3
z<zTm9TKN4y8n9^f4m1lz=y|B{2J3>x<6Nytdxel+e86aNc%l7O!2g}e6B?V_No+7N
zmb~C25SZNRTr(;p?z4!_OmwatBz1$^`0kZZXHXDm)A34p1D9?JqJ^670yxcNQE6+B
zpVpvUYxfC9!X-oxA~^O!yUx{=Tl=@VSbUhX<!K9CZl%V9TF%QCHMrQGvBu>cI|kz3
zkUCK~knklB(td$H2}afVUVu1ssc4+-qQU;N8tBsTJA+(tH-`LqEKVJ!9%Age@QCbM
z06DZD6rON3@8_0h+dgmmm(L%ud(8s9kii(-DC4kB^^+f%AHPVL(kZc9XY`i+qGGYW
zGIa}akv=@{!R>I2lf0d`7|Rls1O)fyLzF_XnSI`gZ%WbHuoSFU@n8`kl(u{VnAi^@
z68J~v(T*=0LE^_6B0y4kec*J<PrIpYu3^V^6&_~8WA2rYMAP4`1Zk)Lz9|}Ki#y}#
zg8vMmP7+vY8N4))(dT)Yea|zdKf^i)7Q4%rrghAP`3mF9>yl<rdSKDs{PpT=Jy`{e
zO6~&&rPpCquO#^<{Z_4%CbXDPhjaBz@>lEip2nRAs6B}Li+i3_0Wd^_F8;{!eCIVP
zO8i_-sPQer-D1;3p9tU7d)?!o`0{KF=5BIj_Lq(%Z_k^#1k}K=>mtYI!^7XJc_{el
zH$SB}{y=9uSqi$W@bO$#qH;1KK$~Dd9jrd0Q+ecgGpo%G*)6NV389848upunheyG3
zDZP5Bgo3y@)o!fCtzx!AvB`H2S|e8qy;6%V80qU3%Y;u+W?<>|6tA)~`feK<R>hjD
zC|p^m!NQV{_Q9G^FX8RSqZoX<(AV>wIPEko(N7)~(zEpb@jm3P3*L`r)8GyWZdx84
z=oXhdTNich)00Q|lh06=+<y=IL>Pd;XP;+2lbvRW<mEu3FW+OS^g3DF4jujVM2Sg+
zz+|qebI66=5<K7qS0}gg>Cec!3h5N4$k<@BPl480MB&L5@Ox$$I$Qw$XauqZyNsO)
z<%r#srSfVz?H)|HxJMcGhp4ftY{#Lz8T#`u{>pzLm2nC!3}fX>al+o|_9|y$IhB#V
z+e;&IENnC^*b^izm*QGStUk|0y%k|B(YZ<LXVd`Z)q2Pp<nS1@W|ilmRDCp#<(5R3
zq(GmjS$cr@Mp@YDX}s2&IVY|yxzbgQo}PyTZ?Ge%@>Zj3_d9OX>gadk;yWWTmM=un
zTy{j7y2}4HMIj~wcYt}bmHT7y<ZoCjI**-P&mW1J7opEDj62hD=gJv*TpBX9d;FhI
zy^EI(m9=bcnXy+&>+_R*e$hmDA8abUDt;$=rcMXDJl1u0e=@E7GegsKGgDxH?1p1V
zaV(N-_G1n9*!4*$dND%hteEz>u!25QS^I8=4h#TDAlL)OirNGT5DTxb=s&c0@c953
zMl2#r(=0ytL8}^G)BmJ#nP!|LjAPsg)wE`2O~bP?M7}&*AAVKmrrP89fY2nVkXY_0
zo>u>oQz(#hB86*jLSBXW6sYc|?zlQR%hG6oIgtLg#{F3)w$AzRbrXD#d5O5^Nksr-
z@P?f<4_Aa(PZ!#w?iu-uu;oxZsJkd^#Yt=Tp@l{il1Y1#0={Vm>JmZo&}<7x(k*@n
ze!Y3E`P+YucJLBoP*>1+D#rUk#D9!^yqs=}Bbl?nfpRjj6(@fBmR9@l6MpCf40>H8
zEos>wO>V|!uKW@`kmSuzL8;9kVhw32{)Arr=$ycu*?omg%E)BPl(`{_I?rIOtWQEK
zuG5q)=QX=}#cx3fU(!u}%W4h3QR1vddNbN5ec>@k2%F50N@Q?@#n4DLpI?E2Iz6XQ
zqro{>+kBC)RB|Yb#-bm8d5kA{zL5x=+jGDpuO0!3X3LaMR0(EQh2n5h;0E#7SUl-M
zW63)FWPFJTWy{`!=B6WCVE5$?vN9J*%A$X1m!t{{)Xqzgcil*D%TLalk4}F8k;^ew
zB}suPrIZKZvMe$WCMVKBF^HWsfQjO~yqbO+?5c!T%Y)P;-9<WG_}lQG4|2VjB8$e;
zUV_F)+gx)aLbsXRzh=N6^qo1!^Gh<j1J6teC|L2`S4pLz;hHa7rY{RVY~mu9$`<l?
z#dH#V=>LmlrR0@Vrb{7g3G>;D0Fen8YXq2AT}W@$^24Ou4ri{+0}PIHbxozZC<()`
z#@dp*0xd?eB;?iFlF87gY+w6V6e$H^hy*9v+^BdcF6sU==A}n=-D1CC#wo2k<ZeVm
zKn|1DCr))EHn_|uH+vj8fV(_4Fuf<^ZVp#2O=Ya%O-ufrO^mrBv(N!>t0$I?=+;Vh
zFH%_(@DPxiJkH(hmxkuXecjeKQyft`t+yoUYp^#U^1{g^v@k$ITyvnVE@qAUA<qcv
zGa=bCs#@gmx_xEd@)SBCeNh=H)4gU&{^QEAvQ5hP{_vOa3N=oACMRmX#pWxTQR|)v
zepSI2<7*|+A`Q93hu0$7%FZ9IkRFBF-B5Yen`g=0b+n81AE&hKXp3yp4!L<Qx;xk&
zkIoS0S6^yaSafPQMb<WO+v_pAUT*&_%JyEgjvENdAbo1En(V&aij{O<)2&ZdL#us-
z)Z}(vjUIlYrQz2hf1D}*nfk+!`xi>3&&L&|*J%djwwZFhyMR`t!(=k|?INA_jC!zn
z)W{?IB<=OG%y3Xn^Dm-Lv5ixn6-xhi5Gtpx+59dyx<3HHkEPd_JM=XtzmWS0gvtF5
z`ITZC8Ox?x-&ov;81K=Mb}(0tET<lo=fLS>1)W%FLyFtKE|b1V;Z(Q!?9w)waEFCX
zH-gES^Vx>mwcf3MnL$h{F@0~vSoEHq7Ph=6wfFY61ouy8fd1Dmm+;JLIAy;cJR|b1
zLkqqK@(=W@FKFM=s8Anb1~{d|FN_NGEj^a>BrQ6MO1~4lg)upj=rF}=@Qs#jE&x;C
zKWTt`Yq0qUl4G71@#jS-D@IU5&j|V77Yx^yO&<hwlwZ~yRW=wMwG!~xlRHx|4?`3c
zli~N^K(LaAq1cmaez3wdDcj88LhY16CPBcw5+>^W7;nrG?#QuLOaSvG`ywW%&-d|P
z!AbCLpz{1O+j;AuIQC_%9~p>y#*^m`{7~5@bO<P?c6=@XEUlIUNz~)Kda8%1m@<fH
zUilwe+hJfkq0eU_u6?!fH{Mlr7TaE<MgV4o+5uddQB<Lizm1SWnF5)85^`ScD_@QF
zNMA4`p~I^Z;?5uLO4R*IozA<AH}XU|p)s0nlR=F5QMv9vl<Jy*YOJzM+fMtqegV1D
z%bv|}Gt8k>+>^KMO#F+Wq3eMl)lxHHI-m~0L|%p?7y`@Q{k-HHh0@OHP#v%o3f1j_
zd+-u9i$x_{6=kLGK(|Z?hsnvX(hKRU5q?mR7UcS<9z(aep6>a9+^7#J{>{G2JENUG
z_}=g-^4+01Ue=t#Yclj*x2Woj)F>0D#me@_!?Osc+^-CeHG<d$C2?HyD$Ch(0SF<=
zOm&gfNRB-}ca$xyPgq^SjPt*n5hFm|(j%DfDaWXONJ@p6BgIBP2-^eqVbs0$Z7=f=
z9U)vmOcA?r^g*6g-kxo?Ud^j2Y5?r_iZW5W#?NtBB!-}pOwklpOfX4jF)pOG%P@-C
zhe1z2faX5Uf~#`BSJe))N5sEfe6q7J;hAH9=E*@zUjGcuZ}<BIzb9tlCKBU`*lHA7
z#|V_Wrq-*~W`Eg{#E4C#56~XsN=TkteR&D@-31eJ0sg*|XtuY2noOP!jw3}EGnbX`
zXNXekCm)YAcer_T(uWiG=Q0vUPQ5%n-Sf`SBSngGJ{~5M(uwgg(kY;iz&}xl=l^zE
ztmtieH!wUu(w3WeJ|=!R38Aj(3_Z6j(`DN2&EosoTb=gJ{Jevj_Vamg^U5*VaIeUu
zlM3J?eW>InY1u&rKPDfI<2n>~tj!mX-5!KY=iyhs&Io>U`tn#S5MsO565QG(2@AF+
z4gFP*TxUTx1l>!sgkEwid%m3X{`Y#83HdTa2AFDVt(v<9KC~}yM;RjOWV}e1t;X0v
zkrU3;_OIj1=~#2^A1Ml|e?RjZ^p!V|neLkeF=t?0+aFtO4DqSaF6oQ70M+}r`G<zT
zGbJH;abk}KPEI8E(N-tAClR_ho<F0Z!?j<`c>XnQgjdEz%~Q5BtR<(WlX__=v6L6y
zFhCN|tl0EbK{k72Jind@X%{CoyYNX{BNX5BR3|s=6D=Cts?_f=JO<h~NM0YU-G@r$
zGTCU^V$SF!W}HLWJ`M+8Qc>Qu!!1qnq&Lg6E&K4{EvK!v(@TyWeu;NE0MgD*FXNL0
zr^Af>@=b7R;>X|)=JcgP#2`j)czq{sWLa8jq>=YQfodfC$%hq`n{gs0vO&=ty$~Y(
zyAP6R3%v(~AlZ?P^MiglPX2)0VsmZ+o)^{EDTXt$iM}QQ$S`IIb^!?(G(h7wLg49Z
zX>PW<$r_6a`_mK`9gV;DCtD&f^;SnEOG-e~+d8jkvEZnn;37fMbsM#{bf31;dIih}
zeb|pR!FVMGe^kY8gxjz5^mh%Yp5~eXeNLSbgv^U{djqg+moZW1y6X{@?l|4&ft=Kq
z8)c08s_Gg#XW)@Aa=}WgraxfvaRKZgyJKD+4>Tc9Cc}<!MUb@-`({#+R!p$fLv)5;
z$}uQGsL`U1azMb~Ed_U91NtJ{ZdZ?@oa{EizZ_l?&g4bgLr7S@8(@uY*tqN4h3A-V
zQJ*SA$o)z~?~2x}*4A{m)|==ywWwwp69HwXo_aezw)nY0c@^`qoj3nVN@3%@KHm<P
zx}ENB?9F{X21sH1`?T!@U*pxVW{Gvc7_o8V>_xc3O3p>^my*ATw~b!6cLul-5NTyb
zYi>T#=Jc$&0MNm2GSf%`B+eiiOBiDx#`cgxev#-1zx>}Ff-irav%Q^D(XPudP>>F^
zF{!Dk2_Jt;yW!}jzMz|D4Zz@^Qtg+%P`{76e((Ss?xQ_ojitU1b>EDROUbY)Oq(@p
z8Q%SV5aNGjIp0MyoywY0pD^GuA6ECzYf9py6UA!NH7v|y-`{4=Xc(Mx)0M(KmKprV
z*{L<nwd|>0FK<ooVC<GPiHo{rmc*m8+GvtvjQWH+Z)X2;T8B=axWp^JL*%E#uQa|E
zVmfMn;m!_&VeK#QrYJX$hHG2Cw`u!Gt<JO`A=j1T52MCK>R^W@D&8q{A~U8W1@3*>
z&KdTigs)p~(jAS6A0zKoG|`eHr!~GZ-vda*g0Csuarm#66n(rU@;A`;@f&5^;>?$%
zIb63ivMF_}<-s#t^k2kbCMLf_Q`lQt_+DtgjiR^~cAe1G^5#Tkv>R6iZZ3DuD))pD
z2}1DOC6A77pysDTn2N$@Zfs8;b3puz;{|JM5|v-+)@hy!t?COZ9brK^Ma9&Ve8smv
zr@0TN7VNckJ%^1Od{4v&I@<5E;4NN%sqbk1d^;V^4BA0njx?d=P}AkzD;U*l-v?y8
zSGH@S8#f`sYc+3cJo9LMvI;dplAj85e!zldX{LVF;A$*Iyuf%+>7tk@HM^GpoV2{n
zPfu%bSkK4Q@IhCrOBh&{SM?xec~fHu4!E`@h_}|)2ZC9%@di1O9&)PYiG3HmI25Xo
z$E=$4`D*3zL^yYm1a2domAK0jfAE-gmuc!zPDs1{EdDzG)$iad;RNQ^1QCP~Bu}@Y
zPN%R4c{;so7e=*N`<i5;`*t%-K~2;+;4h-~0BtGC)9{CXPn0D|Yz~SXmM`2+x3v(H
zuZ1~8cFO$HjJ!vK`ubFuilNMLIS-_yTsc+Of7ogDoeuS$ZqtO9dQ{W67ld-9%lWeX
zUNLmOi~e&u2f}SHA$YZXP1125!hPJ<bGu}Q)Hqf>7b#~YBg1*G3UIV8gZqp~oO@v5
zVi|!WmEu>hI3Ty^5O7YO%uEO{0vjSgrkxrxa*3IIafvzqh5zCkDD#sx0r%JX&Z&O5
z6&!t~R{6_G-9P_7hP3M+6DTLaoah;Fy~K5q)YsMH2`O9??^NBDATPcOj!Wn6%~P&Z
zFhatfAmV_M05j9R{(v-e_Q0<S<$~i@U<55OF{pfy$}jnRk`Se2??G};ns2r9q(f8C
z*KbD=?x*{2L~rkEsbtJJ$BY>Si@R5m?d>=!(c7!>>lrDhU)_^drWyF<@z*~5y()b5
zUflRp&)1u_y!M5=CJWYY%kz@>5atf(3WLM&63peGAdO}V2>_rbFwnLay9Stw$s#!k
zTf$p)&0@TW%}UI_?Ts;Qy6PKfdl51wwK5xU((r#BF+0nEaD9sWr*K^~)k_4j8#hVl
zjm;V`DiOdboMVD@js=u@!9>^5;rPPvcIb)YX#e@zUsj&w@2wT2LQB+cetz7a-G#}s
z&NTE##Bj$q?D^GOzMMsWcrsInaJ6xfnK02kzq-QVZofSIvE4J4B~2T<na9n+5cdtn
zfeA78zj=S#!$pC+;)&9M0dk#Z22G)nypr4(M49T@<rL$skm!TYFiSVVfjY^uK4dgm
z20*8O!&m&Y)<<gG%Dg+`)K>DUm=%lvnKX_<tPjcBh_#4?!|V#lTILaWIA3cIh9+_!
z&=1!d*^Hq!z)hyFnf<@nFo}fkAb+N*(U>NGkMXtUTpdCPW3Yfxe*+lwzh@Z|@72#t
zzm9&KsNR$I9{dtw&6kchZZuN;gLoz{Ykd7_6oJzGHf(3-mbvDQUqR}s|M<o*t=A=%
zXs}6#1;k?Y7YNFXRN6z<PP`6@3IT|&>)RFz_sd_?#fK2|mk+%Vy<CxE82Kwrw){Rh
zkEL_(C^d;3r%Nyt1V76ZUU(BxDiWWij4aDLrNq?djZaW6{EGRathaTh2JY(SM*Pec
zXUlCR1G+=1XKXIguvUYCr;kS2=;*h@3!`w|B>$Vp;vN#E?sGRk$X1K-qy*HSUkFM}
z-t(F7MGR<@drYI-7>{i1>g)*q0QPkmTM?S+;Ulo!h?PX0Rz;t3P;!m_p%{_8C9+~Q
ziuy0Kj9;<Bs7jm5$oqa%dc`S}fAn$GTN9S74DPdxnQEHorxixz&~u$twJiHwTl;Ik
z?c7uKpfWB``k(RrU17(Ca21{`MH4T14)Z+~YUpz>eVD^tpuM1$J9Q}(H|`)ymkB5Y
zL;e=^tb4JT@4`EL2u+#hd38@7=5=XA_Q&RrS3&g{Rx?5U+>I7^aqIp(hz|Pzm+BQ2
zzr^Tlt(1ihdl-`q^QVZ8PK`B)%6(kz!(AWusn)!2%_vScwzn-M_?r*jo@n_f%{ye(
z9bOmn{rHm15iNl6aMC2V0+~bO)iCpu$qP(O{Y)2D?y@JL{hO-~24{iNy5<l;28gri
z=g*D#RmV9`V`b_D1)=_V6mx6$S|Y3G=WX%?kv(TB^%nDEkjD+<j-vecRqIx|Rof;D
zYey9wr+&{VffQp>08uN!04S~eb;sYOC%9<T#5wf|sI(;>eNy(Smg*f`?BDdO)t9iD
zDMrNw5+&Xyx6nfu;zjrrej0F}lPQ#)=i>!q5!jJtmoma|Vt<iWO@CwE=^J!SBAq}l
z2o8pygF(jP$F{>f^Pp;a+8q2nk-ZM8%2z?~#BI))5s+I!ogDo-#Xd^Hr=tvnwrz{R
zd$tdc`jx|Hpx0(v{l+)~^PDg;QIG>>cg!_bV%N)CwL}(u*xiBVr?Z!F$*vl7Z7I$Q
zH&>Rp5JtrMH^#(Zj2U*FoP!4rsnz1EloBmrUS8scU#p-Bz>*WUL*DS(K&}&iuq~)E
z)TknUK?td#Ucfn_=0Mq6uwpg3x(<JBb+}D7s!!r25b4wL@UoS!h8G&tj-ebd!1Kx}
zhp4z4`$H12FR=rIr31-Mug>IK{EE*5??CH3Wk9UHlcuhmsM4|BHz$Ronq8+z>rCFp
z%UdUY7J`Tmi1dd)?C#7!jQ@m=aZ@&<`3)^~FOILegl<QSb=S2}i3fXU<<9dKrZW-!
zRRSJ~FxbI9?P^NNt@A5P(rkLFaPNC9oRv$u_tj>)(1}mDol?ND0Pp%Y^lIA--n1FX
z9;@v&B}gCd_<ZJE<$dN2cV|rQ`bYG6W&UO6h$KB`yQwZi$utgs28rs1+YgY`X3JW3
zUVl42w5FUt^v%VvvH<bUFoGJy4M~)PMupWR$#?c4?cAg6&%(}?2>ay6<U0ivC-#w!
zO8=eTA##cvxg>&uZs9Ss=8?q@2Q&kU{b*Z-@|I?Q#qum7mL89-=-H#1%OoSxdWVam
zx{ZJ6Tng(A-G^x|fm}&7y}TCJ-gTa7ZQxU**wP+w7xb$*ybg}d9|Bs^9TjRBRy(nL
zP-%sw`zrl!*iqwXrHwRrwQSICEaBYQARMp1WX@>GzjdPE&R3(tju0Sa&gDiU9Z+g!
zy~11CT8`LfrgWHi(@Aq|3kgNy(ll)6N&E9<IL-R>W4QsH$u!h>P2|g-YT==y<4mP=
z1NIW@tJ61Z{C?W_NrKq$Ug-^5b&hP?9($PTqE%1#o;3V{u-Yh1Vc0I6X;yNtcq(*)
zlxx${cE$YNsvVB{og2)y{Hc6puoNm=o>k^^^hiet+YX@~V>D53-%XZoklw5O{NNf3
z|5I@$4eKY_y}8JHG^ZE5{S~W!!@Z*(L7&$Zf06dx6dE3zhqVU_4Z;z7N1Me*)jGD-
zwF<8Qv=N5c9suRx^_K1*PWyKhhLe6yxk=&Rs#R-A&WVzLabc!Z1?dJj!Z;9X&C7Cs
zJ^Q+9e!zIpYNim^e-uwSVccM*NdH2i%B-4bgHHw+QWvrWt1Ng3U>Cu*Cl7Z!(2fya
zNkbI(d1Ke*UfAX6<+5S(0nv2)glPl!3Lmzn+h@IjpJPJVR@rctw68JtAKv<==~1~f
zhKzwfFT;-75$NeMl{rT`|71xI#VE8>aWq#IJt8f-YtrtVJ!y_~2t!$uE?m4O@gqZb
ze9ngx`m%JZ;en_$J9t$&B7Bu*18?4;Yu6par7n-veWpKh-rhau2J$LrSD*(%UQMLm
zP<`}MCavK92D7o!&KuTxPh(*g0_Po9xKGM8Vbz;_GzG3WqNe~D*8cXBfa_<Eek{rT
zahtVsB5L+?cLE<2qWuAp&YWA?=XWc;ytn56bmoCem7Lay6$a`YrfVwhGw+n5D@=*E
zTo?SbAKJsMjZ9MyX(Up+7wjbTSQ@F(7f5ZNAr#J7WT;l3t2=Lq2({d(BfK6y6gvM$
zuszaAyi?Yg+%fS}Rmj*jt&ePz-1nONKz)oH{vNbpTnHL5p2ACugU+zO{XOLfXp$_?
zYKPT?w6kdBTi~CcrA=L`nNq?tr9YXP!X%#&OzV-EMtWIFs?gUe)#0KYS2)+&T;gx(
z&f*f7ihN&+;I2G}8@R7I!l9M|xgB=7)ye?xNcGG+lKJL8^NzKbkf&=JFqd6b7YbZ2
zcfx6GkW%KL{?&SSdYoEq$$(9Wgq{wPGi;?K4J8X=7oL71pt#vA@6=l$E;e3Y#bUNT
z{^hR~d^@UDDlzGz;md<Sw|9vFjpyyWE$jOcurU4@*zI`bUhz@qQit{DRJceN^Zfjt
z(ZiI~(@ORRxIlM&+2j-ibb)ew_J7zhi1)yFwiCwNqS8j`lX6Y68;&EY3-+W6QdIwV
z7j-bgm4V9{rj8`S`E=q4YS}50dMFW{DK&!nMSTd^r2N?hpb-sCEHbYlK`x=_tdtG!
zZF-71Z2BK*iys=sNpClP+nuo!dd+|J65|x23?RASX}kYDp`EQu68Tj67*#%Zk%F`<
zdVa3I5QYL`%(plSA6%2BVmZWbKgT6N1F?Sr?nggDUSCGBx>AkaRmgwWoVu-##n}jy
zdMm!MRs$mkEh8htrrvE&wJXF1sS9-6_i_7L0!e+0oj5y>9e}T(<MXTcLx4RfRHlL&
z;?RmNTW(q#y>d$#@BeSi?x&_W8I_^nte!j+O~{gAQr)?Vm8<{Bs|e6<n~rB(oaupj
zn9Z!`MI1<ml~O;xG`E-dlZw3ozPChBX4~NA!OD9OcHYbgk(BP(YpCWj?Nv}1H1a4>
zYo<}-FR#~wx=R%%ZpaS&7$1zHmd&ug*7K<U6=iSBV5@0>F>*agciG_oCRP(xn<9DP
znC8AL>6%H@WV2-yqYUm+bgYK8T`Dr(jNjWfd`EMppdVisPv7c~X#r|r?rzI^<(uHk
zuG6ZhrfS=ZVQh%(77A2IO*vWL5?`<@Xesn?hpKvD4^N2H7}>Zc#hbTs>So{2x9#ZL
zD$na87)6aqT#b~Z8T<D^kIGvr+%!w1H>NcA80bRf%6s~|HxWCfFMvT2;WgwXT4r*O
zDa_A*T(V@UK&X@9)h4OIEZvqQPu5iHgqLEX^jQ8F*(I5YA6BRUB&p~kp{k4wtwFk8
zD8K$T>J+m8qFPJ<YdwhP-p+VS<Q%`dnx{@O`By>uRn6QS*INa2D0TAUgO;0r?k@#h
za{}3A9?}-Y5eBh01ZGnq!kP!%=q@a}Ow;oGd>yYBo?zT&C8H;7*=V&>Mahp4v%+RL
zuUUWe?Q=YkB)xiCunZ2q6}1kjtwtI>HqCd@M~Z5cg6Lp0%tQgS=4(#Qkc-WKmm97j
z_@A2xXuzwx5zJu7I0MMZ+!S)}EZat4hGtHMK2VA@O(ucIY6!n5k~wC)&<P-f3B4Wu
z=ZZPrG46j_1Nn9Wsk&E?`)*8^!kthm|Hem7@kb8}C~IFcwH!n;*#-pZT!dXMa)x3E
zE@$rt3KQhBe=a>|7SD;);=@<E4~jT1!qBI<DpD^mm>j@$8+@4xk&*F21AU8oNJ3;U
zJ*sSFec_lZ!+hB=9A`O8uP~f++WvG3uK_ewEZQi{9}>uS>FCE_zeu>`!FyT*`k$NH
z?!W-<w)#wC#t~DHuoBX1)d#!Xq;6s+R?YM%(1#Sb_Hcx$*7*RsKgq58tvK-c2>-b6
zMmR&PC&b>i+(N$@_NJfL6=CRd1cwaZ+`BvM+Ec~{NU}jko6|MVRNYg1slt1X+aEz+
zLE(^U5<hj(7<5d%v3G_~>z=%_;;M>ii0yVe6qBXxmEL$CVmiVR5S1VD6gT1;F+d-%
zIX!!(-UYy%`X@;wl0kltzpaMA4KH(bmIl31)||i(KR|1FQTx_a7j!Z^vb*UiVa`c%
z8s8wpOUXMwcH+G{-Umld0kQez#y5w6Ipi`_2BwZs6>FE>RqX7R!l`mfg!V;1FhmfI
zVu595(B;Dv9a{ljOgN@cUZ2J_0ZbOo3+SEKR{eoN-QgQR;M-l?C&j^sqg;%ZNha(x
z0x>a&tZUz7+$1_O!TRaW5##U(;K9;NFZK-C$2ugXpw`O%q}&YLPH!1HVN;u%eLoTl
z6}h)qQ%+fq4%$<<l%I0p7O<-xgo1d58^d!PrA1#a*y`=~)rUMEg6mH3lS)HYhGp9f
z1D^lSp^hu|=xc>v?ofK|UzzF;GVc~<dw)@TG2ctHcE`QXzKnuH3sz;!qR9_e;pi+G
z`mg<hRX)cGh@u&$K+gd5Xzk@y8R55bv=c4BkxBSW@Dj3=aTyMLw$TeGwbag|L<e2O
zS!m{b$_*}8FbY7_M=7^lSaXX-@b}IRs2$G`w4I40X1{;GM>Y}Lw<ZGHa5LHBlq50s
z&I$0IyKt1a^eyO`zrA&bnTs8fUpW#TGKOAI#@O2tHAeTRor_sxec%RtCHt|<tdwoP
zkM?3E)?Z=cyrL~n)&0P|MNi(|M|@khI+}i|)+Nf$mYG`EWZ`jfvNETZIEva;Kv$8o
z%lL3Y?XXMnK)2H*79k0u<oz&3x0jHT<hV~Mkf;so?zy)Vurla3KAe|+QieRm!Pib<
z2BvG!+gUd?lZ4H0XMRu@IW*o^V~qdD^HL4T6sc~dt_Dr`ZUO-blKp8%_HSOwz3C+j
zmzGVc>q+wbI3YS)5IY#oZ%JGy*E83iTHUMCo>1ym_c>eoA8pIvqc&?VJ(20(<n92J
z<K++A95#7+a$B#;u!8E7%~wdBWVlN^ieoV?zElp;*1gXSzG=HeMLa<@l2)b^-|SYD
zx=e6kuHe0Ry4vet(#1#kQfTV*4-Uw)Fykbz$U4q%vsB`N{b_^;3^?2<<2scF((>GP
zW7;%2I<~ntMoDS(Wcs32AMoN+ZW~;!3Y3-!k#6XnmYoMyP%Ew2PtRk@;e#~6=5tB;
ztrF}c^uHIt=)cP}J6*b^f2&7r$f|lCtD*G-Qe|t9boCC#h*YfHGZ!eAMN+nF<}=z2
zrEU)De=tmNCBHvfHc8_J?e-<O!)UZ@c%%B)hLp-BXBi{$di>IQ!Zl&1(KevmKQ8g_
z)giOcu=J+2jw8j=LXz=gSoI1fsi7-xI4_e}JdF~nl({yeMaC_~9^sBWpDiOR_jqJX
z7|F8RmEqDaI?;O^>qwU%nN#fG3QhyPjqn!*7eh5K_iL~9ZhBQ!`6hP@b9afz^TtP6
zUduik)0*)+nOX9rfB=&ym+^kVN;r+kWXW}scb$j>uT6tA?TVkrEldWNBh=3spSJK~
zDc=*jE!~PLM<qT?1&vE)OzI^=1sYAninh3_xBXIj^{qC=)dzY%^P=RAY9W}nuR83J
z2j`)t?Tp%9WOI)d#DEA!*)IySc*H!yfISkM?2KnJ_{&6)J<&?zZ%CxL0HvR_lU<Fj
zQoiF+;u6AJH*H^~>wwh8F+CA<FhMkXtp}Ial9-vLebq&;_*&Cnn>2?DnA>S**F?Nz
zBGM{5ck6lg8ld@li#n(~Z({q#_i-NXLngDiIQZDHm*XQ9#-%tzS>qkRL%fF-xC|gN
zY2_vvOY!-iYTqX(^Rc?u97}r2Z&M0PEowD0J=;cPO(g9q4huqdV%``ZfpG}385?K|
zqwP*>8PS?2ZN=uvr^IP#gglv){kMB)+p%#5!+j(M5)u{7UgzEF3?G!e5ZN3{w_Nb-
z%yIn9+Za+tnI3t?W@c8)NHkWEI=}KIR&xzvp_?sTK;*2ajDAt_Vj#2f%6wTyS8v^A
zQS!*RyF(7NcjjrjyBX%ZF&JwjlU%BL+Vt?isrJ}^0y1nZj*2rKnn|tR{JPNgt$Uc8
zV->O^8YR?mR=<b)Fx;okg#^7lTf3pg)j6@l!vNw`altQyP|?_NA`k|t2og^%;Cmuy
z{l5}ir}rNRJeH(_G8s60-tPkfZ&5kGfa*}fTM#&cG?%!S_xi{!CB<>Ac)k0ppMGdC
zYe=w+3d1=NZx22CUD?itxvGjtd}s?*l#(fc*)0e875Bk9FGTA8Oyhs-p4Ng)FEJxn
z>rUNlkVPyp_WewdbrH88V?QX5skb5$PYLovH;!W^pL%7c4uP7XS}Vb<7=#(D@XUX!
zbNTmZZx@Gv*6ES7cevZllV~PIEf?4BpjRPr(zTxSSw5Gi@}Mc`LpL*xnC0S&r@1h>
ztKxt9w&kdR*4f}>qUvUqSPHCT6iMcUkxPe15hna90po;@E5%j)i1w`85lGL28L(00
ze-G}&V~BS_rDf;jkP{qfR<7e|KkSMGNbJxG4!gD*?%zt!7S*49c%J87s28@H&2vY3
z@X|uE7ph<OzH(1#nTsi3`7MEgpr$e&>#2PF$6G2f)!5vicLVcGDbx;$C<Pco;4Q?!
z`l)nskI{EU(y<nPGx)3qJGfly%sL6Y=cMXjU#~^S@3);`BDRXjS$a&R3p4#c|8Da^
zYmf`p;Lew@Yk>p>r4IFTb$FLynB?8{_bcL;n;)q`b7@y#$*b9`g?2TT47u3p%RXR8
z9tODM^<fA4R^&L&Bm4_YfkfVKHkRdig^5^RBNPJoY@3xOPJV#5M>w?`ki=}G1!jrg
z%P3=!<0s9Agbaq1{Es8XsSS12&0mb;viz;`0kGsvd_y~DxIm@xJ+E;fJv4xSBvt4-
zK~lv~?)7d&$A2Re(3)ud*74SIFWY^4fmuqE?1!w8MF9&2Lhleg4okPykr`L91tYz}
z_qg-((NEtSL^V8rrAiD<vt-P*`Dy-49K3?RB7Vqwe}6SWAxud1CDvmEEH^Z<#Y_JB
z(*VkAwoPo)<91T0o=z9|41*Zfsd{e~$r~qNl(|p|efmCqDh-(>B?T|A!&(uK5<mul
zC*1c7&@kbEcO99>jazD#WFnE7NN<x19A)z9U#H)QM#yoaiW;P6EGksc$^1%G;+zV%
z$o0(M0h}sp)3`=&2Mf%l@b=RJ$vB8z(OHEH0TLYM5MKbeVte3K$?~Y$YKi|DBD57u
zx_fXX^KXCuy1~se>3<_+PlrG9oe}a{G#z(BH%W6j8jk8QzriOGwt*O?nY#hjYQ<7D
zK}#d^{6Q>K^zQi2`tY~c=N;MO^;_W9)Knh5HqX>V2L$ojEt&B5RJAq`KS)dmw%Pg_
zm}W2rjq8{_2lM7#$efT4edNL3qstJ_i7-h;$2qD!E6AGhPyhpar+qJVA#D790Kz{w
ze8IhU2KL^MBW!`CKrAK1;L$z~UZxY-kQ0vum_B(BRT(^t#(RJ3W+d!QCLS3UvVM10
z5x%BbA-Z5Zxx@l#i!RfgM3$ImgyzxL>Gj_!by0x%=r!_XK<5(tA`TQzbyEQ!Q3;X^
zY;y7;$P!j6?)!jJw*aPgpWnEYK;U=fW6AkWMFotg778AkUP!UE=~gbOCo&m)n8&Sy
zoQWEL8msXxEK$Gd$LV_48Srcj)JCfE;mh5jN(nF!efy?Ho9H-M9rMomsPRke-wlu;
zG^YF(C6yTRf$(b2_hkG|G>yy1|DH2V+9mX89QIL*=SwaYXoLE|cno}WmO2cUGCRoK
z33_ZCW6RU=3LW3rGli;yrJ(YVj~`HZ0TalBOu#J@oW5S_-O^Ta*L>)qm6!Do;y3uh
zq%9lc9Y9CG^X6wmdTx^NG4kKBDEaLHwWOXRqazg?w9zFSQ7Tsat}5Y(JmSD(t!WA*
z`*cX3n)Vh%pu&h~hIt4$PPWsme@(Vdg(-;9Oev_>?R@=7Pq%;$%jb@wBctuZhrLrF
zc9(gyxJW;QnLt=2gYmLuW{M>W?fYq$L!`N~tR*i|w+LWP?Kk|dw8{|eXc}Ek$)i?}
z4?lp)2d{CJGhsWBh_&1h!w}Rn?~4(XUh775DQDg06@X*RjmGwgpqu1l56_*tctLz5
zhg!`7gybE>y)WVxlscs^0L-j0&!B#@SQE+$FRlvrG7q~dPvTCovKfEAWaa*)HY@l!
zKY<9bwdu=})3t-R&&ko6J^Hc2{PJw5mCjd}*M9_@_D5l@piKMlnXIgCL6$Fd7Y6BQ
zvFW=`g5skRxPQ=_r6h5biP%P3`SLyv4o(CQDClbFoDWz}fMIEK-tjaSMLi=F<ex8@
zo03^T`44ez)idfh1vO$^`+B#F7_cF}&9f{%XhdMz<@Ty{3?A>2AIksF0x&&_?^2>|
zx+}nfV?gQSt!yBwwoSZ=8Je(sCiH5r?Htk{lrvQ~LQAmz9qOT*@xR{(T<@dm0e}9t
z|4h8K0bli3e&Mp~jbL`p=vKVO?mGHFr<9=tW2eWM0aSE=#0do{PWs{A0cd5ZaD!^e
zOa6^I4*G5H{#{RypQX49X4f`5=ahn>(wdn-7G;QCueb8Wx!uIU&+eW<GavIlC<iVO
zph0`DFt?aS(=>-@3+z#rui)0wE7FI)jaf;#EU(MG`>l&Cf2lxI?x78VgBXyz_=lmj
zMYNBt`^F4_LE6i~6nsw@RSJ1I7~L_UK>`7p&Sh$fr>B)Sz|uPAkEirrn;jEqs9`3K
z?CPh3jLxbjc@4%NnW2CpFl9Ago=$TR`x#1`Wg1RJm}q>ovh(RuKeS6xAu6h)UQ+^;
z#=zO0fi_X{<6=Ad?o&#8=#3)@;;3N3zi)XzE23t)DA8iy<KFK1892IOs_74lm#}SC
zaU$z(iu{$0ZaE39R`~8!)gd>)Z?BzkMZAA6f}J%IN`Dd|9Xr*-l0Z(ax5G^tbz!*;
zc?ieq2v?4a>)>5_7w_}N8qF`e<G`2_B=B7WQecA3Wc8w(sKqm>t5d3U%ebWD0{3wM
zlF$!#ctTcerpX@$B5HCzyKH8V3wO<#C$Xrp|45<BV{Lo<>8W#54yyOQ{L2jQGbj?F
zk4Hsb*58&*RVFtf_Iu{e8-w}uD^jt_Cs@>mzoW!}@HD1W0gQ?Osr-8<nOz~1?TaI6
zs}gO-8csdq!{e7n_{SRR&(CY;?6U8U%)B2r@XVPjozGmL@^rxn+}s2T)JhwvtFy3!
zi9Sd$6_@g(fojo(X?Q_COLE2#R>W*S<-$v)+zQOaLrNhtnBd_WAt<edOSTwMoG9A1
z2fXbcb;R-x7YS`v(_B{wd86*m;larCNce-SLO5}eg#tdDF2C?kD}q^_9hJULExO^G
zD?%aby)uac0wno3fFSp6FsVP?+#&th^Z$7I%CM-qHe4m7yOi#3kcOeVyOHiL2_3pa
zx*56~K>=Z;yHk|zkd6U{;f(Kh&iOrmX76k5wbpZI()Jz<&*^^zdC6Yqq`uD~Bb-Ku
z%eSOHWaRMK*EA*80o%)FF90fYLf<)PV#SAxd_v`&S}-7B@8??#=Z22`aHB0nHI~4*
zlFHX~si}zi#}0^8f!2SO`;|Mjp-h#(;G8&6#=~iY{}!4?uD(?O78_QFLAg?{vcg!Q
z9riOB8J|hNptuwCp%CT3LIJk5d0?l-Dt09L3wtKK7s^Y)XFcB?E`*hACAofl$8T7s
zm({=GIM!PST?Fa_UYMGX{vy_-W+gUG19WO@{NCztMXRkgrzlh~tHZ(4P)Ru0{}~cS
z^cO8m-cY@z#K&m%;y4y5KE<+`U8FuMN>RR}B|)=H<=--<MP)bre&Gt|^zs#d&pg_z
zkP_r#4CP`r|3*)qyfEAyl6C&|xz!(>=L$-}mcNiQH(;(TJia+P!Pw#zu^AwPaC1d3
zdlY5w;zC4CvhOrrDGmqIg(lTpGZ9=_+9$|Ser}RPQGYSGVA{wA+`rAx543Xkjih`i
zCAnf<1`EQZl7?i_9>>?z=^n>lv3hs#$Y}5SMt|qDdDIZ|y`JQ>=6ZkrLSOL{;ym=|
z|AL4u0W|u)0p?V_g!_>A5&x0JRw0Z03Y|4_S89?86eMh6vOiE`iHzmabwn~N|GDtL
zk|TH@Oqn$roq+DbU-%vBu+x8~X&!LLdZMW_I|{DZu(I726sQXzSo`}N8eUV0D>ZjT
zB%pa>Vi|;z-ZCHXL3-aY)mw5}?-VS>+D}-xA^dWG2Yly$)A%AQ=?Q`4iw}-N?D2DM
ze3irXAx7)R(4*{a5P}WVXpRr)sq9%ikci}H4{1#^1n$eZ`}`?|1-A@CFtDy@;VDru
zvd_+ZzGD?YYn&1iu9EQGuhyf^smoRJzJy0crRW2te{Jg)iwgAM&QdVc%d$5NnINAR
z&b$`O|3~N$a1CQ}Hb<u}KGw7kV&FN?HJYc~W@-Pk&^l9dJ1^Dw^SeLi@j2Dh+H&X7
z<@EfWPOsKk3Dj~f5^T~&H$Gb-07T<EDrocAQ8H+sQPQ@UANg)iE^)PvX^nw@knCwF
z2iB3MgO!wjjldakWBds3tK1#c#=6)OF6giK*)~2Cx?37jsul9(mwpUTwK|E1G|v6$
zNQV{^l5k43g3e2V1|2kSF4;OIa3FGZEP~Wx(fiCSRs940grF9{G@SM)<uOxcLW;r<
zCHA-&-|Q`!zs6$w)^_Z_)}Gon=Yqr6srrAJ@(SmF%as*%qEI}jl-gP5!~!e)H(s)D
ztHSh>{nv98zq;|m48NVxE59Fm?`Bce@bvrDX|s(2CMe(CB2L0`bw(^YY^e*az)F?K
z+G7dYO-()2e;>EqyHQ{tQZAPhZo=aSsuBu%1L=>mU_3yf<=}HQp!Bz$jat};WBA2T
z%dig+oGg9xL}yUy`cHi$T-(T_l_!&cYx<dR<oj5Lw;Ee8MG(3C^3#lbv8WO%v3dx;
zO6SXK6kx&J8@Scstq77xbdoPcen*T=GtKLrvP#xfb0B&_Mms4UONV)RI?0L5locs-
z#X$JKXXQ>uoyg%+NSa`gp@ZKb!Uhh*$$GL;TJiW93JJw!-o&!r*_SGjO^*I%<9)CN
zNAfiSO%BG4bkH$C1q<C)mxf~c7j`C=(D=dk0=dF&S5M|n&c8cVZk(3}JyI2XAR-Dv
zr8f+N{H@qkH9>OZ8P&SsiaqY-7h_y)SMpM;S6{yuhhUF@TmuTj>#nmBxZmJxl|pSz
zBs-wmY)48mFzHga5Br!cU=eAP;&6&l7#)R^310tAV+Qy+Rgz*tMM)0D@=rEw?WZgi
z3#}OR)2p?#=lzEC-$lFYe>_UDFs{#mYD22g>W#X56M%Qhc?60o1-kd{&(6uKzcILe
zaHE;6M}pz=f=rU+8AY&Bh1)|D{rmIpy{2=oo|N0HCbw&x#p1QN%$mjE6Si~_1Kv-@
z&K&gh%}1O&X#zJ!UeOXa=76eh&$#0|`#JfvvvGni;~<fjXO*+({qm3gPj7--QC%q~
z>DySYzI`_j`r5R+u7DAL_Ata1@9Y|I%1ZXR!x11=<3h-_YUk-Vx{>cfAhXpHC~~iz
zgkf^E?Smz{a3}@Q0j@ji?wvy;YAws4EN?t_<{<-L8h`Kd-C%(Vbcz+Z?lhuGKmkJ{
z^2)=<$Iw|kwv{MPy578utql_3ReH*Ha>~0Gt1g5SGXYw4f>j^a@4aPxi1!;@W}|<$
zFiSL}y40D&Rnh8r>AXoZS6oB<XoOm|Zf`+tY=q|U^mY#jbsu~qhuaSwR?M-YCcJp5
z6Z+!VTOAEO^!MHjS-Ud^@I~ZOVvZ6d!(Y;eBHWK~RTZQ2#<S5&&Plcr$=c~6n+J9R
zUz|3m1`Y&0`(NEW;FVLZvYpyKrJ^K3Z{r?tHdUerv3Bv^#&Gf^fL7(_k>h?ss8%J;
zw>ng)gpL6-`n6Bx(nr&hDO`VBR}NXB1vCs^CS2HMqnoygaSK_n#gDcP1*i;kjZ=kF
zBoD=FQAn(-@Z<nk1E9;>>}j7WWWd~zogCgD<0;stGStj->;+YmM%OC=jCLKZn8;k+
zV;RLukFV}IATR*LgAPQOLA?#8Oh?4qit82a6$O^nFe4V79Ln6dD_cw(x6(+GegOuQ
zjb7EuFLZF$&_be}LAEC_duoZ)n`XeBnYx41B3s4Lq(@bz6)re}2SB2}7Ad*jpCmKj
z^m;x4O{usTepN7zb2$;@<T1*5Hae#`r=Ine7q-FkaI^?M_is2mGxjO^4G0)OCSKQ|
z%keKb%I^?eUu(M{Q8{}$V;N`%qF0TRUk`U#|5T7+0BSqcKP5tWbO)(YTe!crt2-sE
zMBk8~aCKM5<-n#aI<CY-e#j_5WGL^qH4l<27MSJHjOrh=t`1_P<cavU8*LS+KKY;}
z8}rowquhT|QRrSY)_|`J_$M!;%Vdbwd)5Q}(*!L`2t{(c|GrEbz3h%|-l4R!2t&}7
zI`?1wC#S;6WHaE9c9Hl)ZA9cCt(+eyY!+gv{kx3Ac5Ar6;oDK}zhe>`;qUc@NT*#L
z(EGL8^#pg!-w)M<TXXTxM)n15N)Py4GVe0QKAt+dMm8jCz3Ds(PI*NYesF!@m8!;|
z=_XP8OD_EgIOF@t`$$Fs*a#G1)+~o^IgNfor0{#1<H(-ltlf!|MkCDR_ZeHkiL}+S
zHqphK-i>K!hMg|19Q8=<eIiEXYhpi0zLJy)s6(Vb!6<3Ey#K_qzmW$^AN}6Jt~mhS
zFb0vAaqcz#O$0{5nEeaqbT7AsQotKMZI@G+9mVMXsKS@8Z6EZ;Vdr#>yrMsKmv6q%
zYH2I-q8BJkpd?Pd{H*2OE9j7kl-bV1jlpx62pkf}{3yasWAwde<l{>E;-Ptw|6kk~
zBACL%3Mx>Wkez|;f5DuXq3}?I?x?2+SR-&1(I3*MKZ&5vt$6y*MoUhoZxgy~ZepH$
zS(Ax9>H7fS`qMsh`?wr%ckGA5X)1KBNoB;q^~lFqVMnIEQeUBIdN=gdmX8Z+wPSpN
zk%bg3&J0XSy{_b2;ehtysi#A~6F{6pn9kaBh7S)FAHD3ytDF*Tg6o{O+z|_o8XFwz
zz&IW$P!_@8WWZk3BbS~9*4Wv$w((77;38<m9?JI|3Cw{XVoEXs3JvN?Rq2O&(6;VN
z`-4x18u(VFP&v{g?R}7+z@fnprGt*Zd*B!-v9j3c;L%?$7U2Q>cw9^H_@b13p9`l1
zUj9)6jTk7(aeAJm(&esFxv+_cf^XU69dGsQ63fimtLi=BvTU?aeW@aA81&&woA8N6
z{&&OcIk&-6q@b|QI%6I8PbVh7auKkULZGf}`)j~hZW8-+H<R7()H+v&Xkb^T_7psd
zE!>&Udu;a>3%5hwq7f~D_*ZKBdm5B;fCSgPz`DcONWYe(uR<@OfRmW&L6^#oKzh`#
zy+bPgKIX2wVX#$T2h8W{HYGm+Fo@6N>21}GB+<rXDmV;!zGe(F=FMJ@i3FAb8Gvbh
zzH``4J*)!a7nNcH*y*Y;RUfes_eXnZK%R{-?s$RJq!)jh$M!%hmq5#lf#lnCts`>8
z*9g8wzL~TP-n)(MvF@tMa7*URKT&E{vU6w(d->cg;TIh~7o$?VyjXq`d!Jbwhn)Y?
z-)d<t;Kpd52Gb7Sn6-pkF268wWdv*|UCA_ByFnL~4=%CqnHokH$oBTaGl8csj6YTW
zglNwtFDaOQ>8B(3EJT^FINOWM_bJR+Rns$2tZ~gdi0<mzM`WMtGp&d=>@*LT?0eq|
zg*?736fRH*@J}p1iC4Zo5U7NPBlTJQQl5sZ6ZY!S&Gbdw_OH<$t+Sk<K}&$0WKS%p
zo<m2ZR{$Bo5aD?a*sm56zrzk?eYg(zM8Prg&P|_`sOHko<H90CID+$d?d4N@H7$H-
zTsEgi5p!q9)%o)DjX)sD$LW{yzt?bnmZTwyxzt4Zo@<Cn*Qk88xM^ll*B<MZZbhH8
zg8tvtO%f@S(@ca_zNGlp{f_3Oa>C89yRa;kb#;i3k9N|)!rFI8=8mm>JX4}QDG2oU
z?Crdgg7Gtl2)hp&&39N9*=xK)lGL!70-<&z9&mFO!XR{QmgF~EFwJYLed{Nc;f{O&
zrKe`cz+k4li=jmktfedC#9|Db3!4I)d6Y7DswoG2(ndPQd=Y`<!BrW5)p2`~ncovS
z4Q(7G0{<?(9fE#J^7J~&@+QNt-bmcs<U+4q*d_c$?|QxQT{nN#+midE=&}wY6Pxt3
zYG#Dj)AfFzAjU^*fG~uCxqL#C=HF4H?&T8d)jYPU9gj~;x?E&$(~PF|mD*LVuWmIe
z+Be_1KH7<uz6Y*MqWjmLQXB40=1O-0V(iV$>+30X)<4;#ZuyS$be*YZU|UM_MD%-m
z?BS$F;H&#*Y6OFLuWN*$QF<WxXa=!K&Cl3*4hzLL<=IaU2*<kqny_8{0<eh8kDL(Z
zA&Zr(=7Jb-*-=qzt+IO^W5?GZAI%bgC_9`)O7eOhwQ$qig%nQFtj12rMgwo7&!oSF
zYnK2Up=!V_oXp43H^`ZBQO(uwfb&!ds&?~$?M9*2Kl>KXGyLU)HMI?$vS<A^AA<#&
zomq-}O2WBiQZhxHw_`s<l0HDKBagU7@oCNMr@}uJ1uj%+jrKC>vtSA%)bAWy{XOI@
z>y<0YK*w|bVoxt?Iz^g3HmCiT>ocA5e`q;AD*K6H1sBfI@MC33V1>QFz<aK9J^{)m
z3MU=qzta(VOij1w=T=SDLX#)j+`@Z%B!)-n&99UKY!E2v7ry{R?6%if#GR|s9Ls!}
zH@Pwd2qOT(Ief_GKFWNsI;)&3ADGX%5p9c<{9dw{KNG$n{)miE{jP@J!1#l~GB_P9
zi6RVH+>}RX!!<;N?NaV+bit|^q{l3{wI0Y)<!+`S%MpOV+P)2qrhcfiY!TyEBSU6(
z6I&=ND?NRA9p=EAj31vg?;^-o-DFE=AW;qIIx25mjTeNgS>9?po|$L|hQnx4q@hqz
zh@qfm0S_K;4|{#lY6X4#++iPF0wI$awEYh}<PZ5-l11|C$Pl;;D0p?=kIXX8hjERs
zicLUM`gLbGHhd#{`M~9gfJAgj{~b-(h(gCrGUF^2+w8qh_^U|shV$kW+KdpQ)BgOd
z&Oz244W63IWiRFG28Lhg)?3Ny`2gJ-@>1h+?Qh+rFS)nLka(vr@*1<w88oGAW1=dv
z7};zuk2fR^2>^EtSuXTN#V?-K$$(#98rPc!p^K4U+}Ze9HRwdr+d`c;-n#|=nzq)|
zfTn5w^LHOhTfn{F!Zzm9vLizEL>?jRKOXk;Mtl9awZ+O%cQ<;6JDYu@kciXv5S^|(
zX_m|kEq?GRG$BuZrI#X6{7(T6zmTDY!h7=|{t9}h^2^}!@x}D$;-=#d?(`Oeumn<$
zpocHQ5D4#4uG5OC)et0HM#*#UA!x|<PGhq4m-6sWO!^=Pv8MO$?uI}~w88_>Ua{?I
zrxXAgnn0EK7eH0*iA5qHCTOcsUASGPwAu`}d>8KJsaS-RwhO`tli?olcbAiawFbm~
z+FY<^m;(i5JTWSU7SR~YJn1|uZa4AvMt=w9zOA1@`WWHW`}<073Ghaae<Z53ekOEA
ztW8@3Ep!MEE_2aXYg+YrceJ>O6_1N-lqhlqa}vt@P5RZ&lkJ=ZKElIYXw)Ie;Qs6S
zOXY^3XA?wEebdV-nfi7F+1%;xO=!*v{$mCRQ4_txvB#uVR5ZCN!*G1Xm3qo-k3JWl
z@6eitp0Pm0SsM>~s+)?V{+aZfH|!L!qk&#R{3;O=o}@>7h#g<6@ARX)b9&_=zK7_M
z4G#Ib3fcrrSU^Si(Kg5q(}Ea6tx6v;_7!=vwm?VISLP4lAuF;Tdc3D?Wx23TssO~c
zE0W>NuxyF$7K)Xzvnegp`1fZoNJdq3gr#NrCa-BHP3T;W!+`oa?3+jc>A9GH$yf+T
zUI0AX*oWg-V(Mo6oe|k~?3^^s`q<QfL>;)D10ID>gd`#=8b0YX^_YArrDzu=|1a?w
z!*q9}cw1<2v)}MEa~X0Wt8W{r>k&7|C10FwL^1CJ+~)O+W)_DH7^N99A1}!nr+6X*
z_mmv__)eAU62>9%?0pn}Z>l=nj8+(utF6s)?uNq*ivz~kh#pD(%O3Qp9HY?#=;cJL
zqiK3o%|f3$U~__;vZW$0R<Z}Z1Frf<nnYAOs9YuQ^DocyM+K-Jk7JSRaaeiIz~I!~
z>E<5=*33~~R@>urW~|Y=jDJFhOimwtI>$ZpwIt0kx;^-)3Re^`mB1ARB4Wy(;aqa<
zSIV^6S{9B!`AzcpD~YB1FtqdkU9|}j;PaO_bM7y!jn2gsG|`WGPXriqGQ)^Q@RTZa
zEHbrR=+<nyKroh(dV$tZGI3R;P?p{Oz=L3pY@j)0I2wfeM8cF<)(|tDD+(0Qg`E=f
zq5+2(W4Mu1E)N<zdDURYn6;<AXdec4e}a{ttzl!U5B85ICZB$YS7-0zefyjhn)4`4
z_Ib2D7pB{t3akKV%<;j}5jj5Yq>2-0gQ$xdsDR5B0R|V}G!&6aJIfu75!bV5aP#Uk
zvPKVd^mTH^R?)_&t8AY!a(pU&tfB`eG_~C8rsBR0Ml!acedLup%?od^lVdlYF-^B3
z=$N4s`&6y074JY13rdBr{8zX?lTD9~|4u(fTQav{qt|B>lVU+T2AfF}2igr2FVD@D
zNW2c=Wj<)>S+K$wY=%E6^qTBD8A-Hq#3Xn`S7!m$^B8S&-=;q1Rkb9Qi4oJ|vh>mF
zAOjbq-pcUatk)xi8J|E&QIC}`x=$NaI^aB>%1w0TuvlXp75QhD52l>HuF@IX8z?V|
zK&#&0gnJqRvf5&IW#dHxXXUzZHk1hdgB<rxV;Y9{=z|V<jz*F%OQY088_7eL@PI;;
zVv0A6;R#%aNMY1y|7YYe>yE+9GJ*7Yg@u?A&Jd|d7J0JGBJF?j*J|-nKAW&53VKic
zmFZVyoxAD#r0*dyK3J=VRi*!BRz@L&Zf<(}K9wY=rdK!KY9JI}-Zj(K&0ue9E7>yz
zPlTcV?b7$to58YsZJK*Y+xRhLlf9XhhFEhj-Ks|ATl8JBZ%y)VC2zYn#~s!X@C}E7
zCH*I@y2l3tvLa(S9bxLItK09y&;8<g*C=+HlBV)E^NJTB<|>?*!iW2FByjR&qZDwf
z5wV6UZRCeDQjT4l(ad_A^oD+|47^h3nCj~PO9A32hrX{qW>pj=clG(Zw1QTXp45*b
zep3IF0szc~J9$R6TQVx*l^X+#_Qxl7c==}wa*rtWJ>CVtoiO+a57Hmts@IE@?F@^T
zM}x$Hw+{Hv%_K)kU1?Wy!M;ze!2u*1r%@9{A@_zvlvl_cx>QcGUCezs=DjeU4K++f
zvS;+_8NmwmiH#5<7<$E>Q2~JAeGVOLp=x$GQg_Ypg%!G|UTF_s?6QhmbA@_fk%qgo
z%EFrilfOhvNm*mYV^kpNB11~NZKy)$tmE+KNV6HRJ2X}s8JI%QqUkeIwqt?9sK#Jc
zZ~egg(k<NI@&mYiAf)35&6-KRZ5;D9T}iu&3<ubN<BQSDouwu5MmoZAXeNmtoCtSp
z6fQ`Au@Z?`G?PZ#QsV0xtJT$j;1cwIPGf59&){Xi`zS4su2<et@ih7}YSB^%2)h}o
zY-4|?QwQTcX&Ziby(e8jo!T_SBd=@-<|z}6CJgg>0$~guG~Qa;I!G(vy`WW!NlOz|
zbB&XsK3XXc#!jl3N&Ib12jhl<C8X!oq-bHm95!S?vD)6BnO96^4uHN5%_9}y)^ssZ
z#zi)IYK=7=f*jPg6BkG{b6e@6cS{0$E4Y;$YDei9P*(j~>qfsO6{rWLDO>Nk8?dn5
z&!Qk5u6WJBnwMbI>C>En{(*N)yJ#j_WODm>uOjU0T!lQwf6pLPY1<nT)?Xf8oU%ZZ
zLms@HDoy!M<%yH-<H%yF`qYW}YBj3Nr*4o6HlJZXGPPW18eh(7_HSZbk_vIJsxs`s
zss|ck@G<uAM1SVknrc}k8XU<*`bpg1OEvaNOQF9N-#+DPE`Xpb8ePJ1OXRx_t)JEn
z-${%QSs|6BXt<V(J)H;(my8aC&oy{~OuLI5k|s<pv$JuAVEE}{LlvIojKT~kTt5+<
z4Agt3>2M|Aj@gkm+wRcJG8BW^g_zEPHp4JqP+%i(6BEcEL_cj#r)c{o82?^?4@o&c
zfy015D@wz=^}OTa`tH!u2ZQLhlZ+Hy4zsj3N?Uqdc>xXb`e%<?;xu~V<!|NYkZGx0
z>ur(8rQ3G*wC#XPaI@k~jCz#1G8PR2$JXZWKxEZ+kA7v{U1cz2fFY)wqgFes!d$6V
zrSRMqp7aAh9L16J&3yI5Ly}}0{h!A<IsRHIejs1iN-4WzeM85~>*S|diB`#UN#@>D
z>>72tDv<kF`}MoDpJ#LZL~rW6)57d#e4|P?OY4fX_gId7K>ywBLn~FrD0qS;JL5v|
z9_@!Lwr%~pEv{7Uk|F5<5Je0urrcnj>#)&^4O9f6%GDY@1dmc#5GMQ3Nv-oFpYg)+
zgkK=9xrlA5O9jsfkfFfi$D|AVXFk{|*M6fnZ9mxb#S6x8os1bp&2G^X9Be=WN+@RR
zK7Yw+srf#k=FC!p@pe{{z`c4VVqOK0bMFoX#9N`@L!M8F!-8Ns_<+-VE47ME9K4uO
zXJ8<ow?dmp>*mI92)``D3CHMHpX*z?!6$(E+@V*(?}?3?%l<efok)!^swcN&m|I95
z)3h=VTHP~CY}3$cp+l=bX7Y@(hn>IaPLLlHqc~b<`eYNm1d<NJ93Rnv@$5lw>5Y$M
zN@o)MDa*d(;rVI#Q(GTU4UF7G_t291Np6!QS0B4WXECS>w1V+O)qTgTSM8v3qC{FV
zm!DZ$P&1D#`lzOav7v321-wEX2>@R^DWc~#+Iavo))$)>_8kk}m;6!cVYtn`2D+Ko
zswX5TL*|gEJdC4D?|ItYJU~u_QA~*@aQOr8;}RL%{P>Xd`oB2&D5QTBh%b>R-op?<
zrup{_{oJODvEuY0(>#8sGAxyreBQl(5wGNQO^?R}O%tE&+g7gH8iC&!9H>-7Zy8c5
z7JnF$X6v>B;DI9`2drWW*ORix^wcC!j>zr=i)}2dGQVh^>Grnr;|#iQNilO}PDta|
zs^>Yo<YGl21GHQAA<c0bN)xUuI~&r`UT=n8S*HaQnQ+mT17^tHW8TS&02ci@+lEf#
zi`}6GX_$$J8kj%QneJhZ5lRgd%f5*hjWb|O;JmRLrW{NgRzebj=c3$w&`E#Hb;)*Z
zVHCu?1RmqyQzQpMaV;$2_=?PvQ#~v!XBCGGDaymThDatGm#0T;ayBx3O}gvX!b+mr
zQtNW5Y$|^m)c)Bf;=h35udfgY80(VkNrKI?hEmy#R?Tq+>8oo&PBmQki(O~(!*wlE
zQe1Zj83q=NM_+zv#VoOmNvXyaig!v4>ndw1;^EORwG;s;<m=@y5j-J323VaE%09i#
z(}vB_bslhyrZ%L5ujzp3qd(f*R~*^*xLBK<Pr68741pEM0DLd#1D!$7i=sW2X$0Wa
znG|rZF_`Uv%npHw3uXW&Kkdqe@k(L7P(EOY9&m_Pvol+{RrRrPb+=2Dvl2-u>(VO;
z0G|~K#$$f$akyJ*1<ERfDlOB<e;5&{Fuv8#BY%hAu<5X-e?!pd<>(?mOgs0RY@9W>
zA`A}QQ*WRqPyu>ePqUlFF^u{jr&U8MZj9Y@2fB5Duh+lqD<U4p_^hj3GmlplB9m_B
z3IuWID{JzPF(y@sp4AlmDa~f?g`rVUD8JEB=94$F*ChbvTZ(=j0%_!>ffdOwv!Z4D
zuw)8a9NZnsDD)RCj;p{|B$x>Rx`Sy28;G3l`X!BCBegW>vT*?{0DFZc4Y!@W&o07J
zB)AZKuHE|o>Vu?KtdWHc#>O84?lMO*`<ZBTTKW2%`e6wbH^*sn4ArjBqHV+OMr!2H
z8wL{;`azkv5R-Tsq7sGurnsI{F>Ep|2SN@5l_-4&!b)4I@Cq;rPpGf*znvgFQF3@7
z)>&SR%<!eS%{XJC-R4tuD@mO~lg!@T0o*-p<!&vV6<%=Yc8)u|l3oPJFW8>n?&Xm)
z@_>dvTO$@Snow-xE9f{KgKwrRva_G-hd{sa##x#Son<ex`KdMP=&*ow;7@smO?b04
z*Of><cPu$$OtGDuae&+bsP(V18VT6xHC)J9uY!$#0#isB9|qgQ{u3qu5Mm^*^uFP$
zxpCh|cDx+_(<O|MR3Zm&Q+;%19rrF1Z}N07n;ohy(-{BqGVq>}H_JB%uR>S)!wlZf
z;Vxn9oV^T&{yl?cuclHD9m|f-5o3QjOWDf}r00?sLgtx`FO%T4#7V|2HltOZaEndg
zPNJZEX)r&cHEheMZx+%r<1mvnl!taH*Hco4mn>cA$Rg93X8Tdyhww8?u#bXCGr@F>
zUlZmVFT&3f`Mwl&3ONf~Mr%`dNq0$SXKw9(7XlZKE_IpSe3>SaQD54LUi`f~yeN8k
zDKWN-8ZYv-lw)Ol{zvNh8K>VSMVwHPlMF?>%|dUll(|KHObfOcBfG^M60luCa1O^+
z`1k0<>lbV<8!BoVVD;7xa<i0u&=L=~o&O*FmE_CevIPZvMLBJW3U>7`H;n{ZPg~^J
zP@14ku1~Fum*<=l`NFMD$29~<-W~icu-T?vMvI|Dh&R$(lbMHJsf@l<5xN|{gMf;m
zo%8o>q<>JEAXgRSsFl~ztpodb^u?U}%hEVg_6x<h^)?czA=kWlW^-EMBFxfpC4O3C
zRH$UYx|$HSOJCU4*;|3s2G#FTWtJ!v0IN~G`HkazFttG>xX#GbYHbBrF9n~O?qlIV
zdO4JZ+E<$b4v@?g2W+}WHUN_$rC3<@KcpA#j_T&!V1OVC1ZoAn`Zd0^QE3FU2!=N!
z(qSWvsLZrT$du#rl`aUReYD$QNV3QQv}4;i+d73+MX1bCdQt*JMueJ@nPLLJXwcAJ
zBOtUe&^+C|d^-5!eWLGstLm>Yt$IJvt+c#0)qRlPcqV+WtLE#Qc=fT@iHqH^=>u5<
zN8zQWyxiD+`L>&5WQnnf6MdyusjsnFszAox&xnJl^j+}Osx$bN=^shDxB%HAcU*_V
zR~unW&6Jy^`iRa1@!GW*aomz`zrE#5RCkK2!Qx4X9AbSIRk#q^Esmyq{OS5_?Jfu2
ztHu>w5AJ<aYHrl@Dzrjje)Cq6xn&CPQJ?K?wlaf);Lj|n)pxKYQ%213*C;70jT&X>
z>YWE@zQMv*=P!`1zXFEn8NUG}xxd3)6FZ!o){H>2f$?bBJ=`ym2<AD>jCSdYAf0==
zuq@}lADS??JO<HUDz%-9;xM!m*B5QW<ZIyg(8jg8$Z<JCBtw9jmT&HbZ|Lqct_tPT
zCWX~PBvbax-dmub7W0+;EPV?3-`x1@MYOFd=Xr|<ZJ;?l9^9XMg~#{xD0=T0Um@!8
zV8`Meu#k)3AYDhDr7-ZgS`V$?yD08RRm|@4To<S%Z*=A2?;)+)ce_l27WAhmyprM%
zC!0n{s6fHr7s9z%r<&~DiTX*eQa#eIR-X>TsHrRlzFS$|tU3dhNZ!g8;)RMKk&660
zD3~1hqZ({XXxxFOi1+4z9HW}RIz1N~Uxe&jDK+Y|q48IT*+95!Vb(E?Q3E#T{r$v<
zv)Y=8aX`h4^mpChYU(ArUH3&Ylz}i7B6##@(&A&Zb&HI#6#nUEbSNprm=dRQ)Cm_o
zJ`#}5i@??Fl*<kWxNK{yopBRN`NLjyykUoi8{Ss4!Ny_=kz>U?i%g-RY_LI<$AbJ*
zqKyw}EyZ#4usYIbGiLWk0^w;Ye;DF!%@<ml^1ug(j%$b|iHtf>m|<7>nGecB_p)B)
zUq?Whkty`&;$U=!%<)XS0s)4Qae(vAwJLvJxx9*P&FLBh($M>}ZN>QBR=NPe@2I7~
zsGaqA?bpkang3cPqJHyRyhELT@5aDJ+FP~Bi$|RFtA!fhQC8}ET9V<vn1*U1GQTxy
zzB7~hjWT5AKlR*qpU03`^r^`md~11R!scedL-6)Qh}I2!^Ah2#9S5a@O@4>%Pv!|~
zotEQZfBaLQ5nB4IBfAT^9cdofLLNU(aooBK(=O?Q_R*EA1i4AWpLal}xNDwWWf*4p
zEFCn3#^6jy*}}D@iu_B9_H%(W%d;Hu2&yUl6fw=X<9dK76}##kd-?lkxe@gnjZ2b2
zkIjzbeA{2<!(%&*)GPs%Fcuj7d@c2!M!Ab-Jwist*X<<V1BrW6mS&c?AK&i4&DO*F
zsM@T?F0rULZxGtnYL2i*$1aPSqZ%fKiMo%6s135VZp7UvALZ6W{zPrBKIsU+g*!O#
z48|#UO1R5Y;RmGT&Hck88+TOc-hhIKGLEuLL{9{zSyH<Qln%IUCuB@{={|KU7<6~)
zIxjyL|6W3&Z#RtHPJ8clZ@o{c+BWwx9q`@WqxC}Ez%A3Aiiqo%yBZvR=YrI6(P)4@
z3Kx^=0aWj;pxI)H?tn%4!0ZtYC(Cm+j_?k(@UdH@K1cGOqO4!eGl1P>MZKOv-8Q7r
zR{>%=`-Jt}7KN}wwo+gm(C(SRG_djO$IERcE{=~z?`o8d1s=3yW+|#`{jxXO{(#K#
zWKc#Gfsz)|$@&V;PaE*w)cv4U!x+>X9)wA}&Ai^(+z&p%ehaCt_;!6$ezW!A5veGG
zD3c~`!z)P7)WcD~u7=?qgOBaMUA)iXOX<C=-d|bZvFh9WGoO#rf4Qxqi6RFKG;tv=
z^oOQjHtnyieZOd4ZSLbjg;`e1G~!agKX<s}AWwUJ8Th)daF^Bm|AM@iJfFp%PFr7k
zS)S;LOjdPCm<MiUN>fb+t8h7&*34YSDvR^CM>>7N6{C##j+~Wv(LSc{H5QklS71uR
zXu0xwK{~M>fgkF}BHl@VvXS27dY!wu5D6=z0oDn!lw_ix)ubr;tzrTT%zAL-E)SI>
zlea9Q0O0n<bVj}RVL}vt2q)fN7z|pRYB1rxB$pshE-GnL9an-r2a-kS+j!OZBC`|{
z>XD^1htczzG=F}YjzA+QTsGR_p`E!$<qr<w@_UDrVl24%p`q8#z22!$NTf9L&uOmf
zk{e>Kki7>yYI+&ee!d<AdY<ZwEK$mO4EmIj>Y+GlDH~G9thq?`GO|H~d&z`5*#pD<
zpc+Qe{$RTnk9-MyrFlviY%4eF>JwpllX&>$-cC4t=`&LinLQVu$L^?&-r=R7!uZ2p
z3XS62dmvUF1ha>p$iUVveB|IUy(F%5CmFBpSmRqI3F4L8yF(oUe%4lu)p<xQZ0}<F
zAel!XmRTQ}Uf$`86)iE=%jv`P)$(;HPYH&67%(N{Y}1O@moEDG*<Q$WvzXzd_-t*W
z7dC;hD}7EnITnhsRs}U~Dk0Z~l8E@b2C(J|Jk5PCnkQI>T^8vPH#7?S;-S*?JwKn|
z+mc_oA$C)ouH%#%m>5{P<2~Oj2q`~qhL-+IBRQ`#t_Bolg;o+grv+)Dbw*jwm6R71
zT7G~{=5qK~GF>s@y3L{sP>#ib>xppCisstO<W!{A-gF=@p`M(NGJ%TtuP_8@_1!7S
z`J+rwlh@2L$SLIMwk_2dEip5h_qTLiRAw6V@p{CWly=#qO4alGEgXNj_DFE(_}heX
zeic<U&w-7xm4kl+>!Kl}INgk_`sN7S<q)QRnP+iW2b3pXT^HY!u~knq^}5l=2s(br
z)b@jiX;&j5<>pX9*~FbZ#N;GRLqd2k)@Fv;Ifm|Uaf10k;U)Nc_=~#xAw_^J5~~#T
z&2YxdJ!|6HFGZtz!I`hjfy*NTETjTzWM{@4rZMA~Y8nf&ZE!K0bC(9Za&3D3)4kbY
zHD{7Y&A!>uw5!T+1nUVzHOP<y(Q3DmS`Lb`{up#zU5U}u8(U0qtN*T6J@`A4`Hg?*
zGoOQfW8^65K$maah$!apk;KaU>u8q7?{!L{+As)u)5yS)@<UpwNO}ZdZ^rNTW!0iy
zC|^cC>JdY53ah~!xYKAF;B9;x?e8P;KDfR^;xoOD?x!l<7k*%%<H+F$MF^9t9!A*f
z8Xz`&!`X5-m^~baOJK}4xen@y9XsFK4Ol0Oufwgz5tjs2BXe$!1Skqf$1##JD3BT^
z(-`4zlAgbDO-USr(S{nZ6TT%c2v(DA&pw=fsMu%Uo*JBKB=_Adn4ShTqAwJIe<M)5
zio;`rO()Go$lz>IJuo@z_p|x4y2>O%5Wnmj0+S^k9YDdeOMUh~)S@%lFchIwlr~wQ
zh#dk#uPnq*A#+d=C(qX-;NUx=yP&76Up2zJmkOJw5O23<^@>MZEYn%$SQEU5QoV@M
zCYKu5`0Y}<66Y#FMVi1qEo+7#7yZOf-f^nGg;7^u8Zwd0-_}4~EzlqQD*(1$Vrs;y
zHXH8s=DGYpigQTTVY1(jlC;5o0PV|<TZ3+~HBz24&<m6aDTRQQ0FTW`Mrbs!kVuU3
zFEnjt>IdfbsOM-S(6O&qtw8fotS+cw6A*A!W)O<eh-V##%8!K57BFp&OA)p0GMx8C
zNSKee2T|y#xcO=)@RudkSWUsI?8!OGQLb~t!{s8pQkYw(ocI|{Yx{yc*Tq9_vOdht
z=Uw3KPry|&<UZ^6euOR=n)S=-e1D3T!J7Nc8HD=lB~S9uh_b;~dsR)Mr?d_CiUD#P
z{x+u&`xXjdAbRFec_JXZ7kdjw!sGnPFW_Q1;`>N2pA0=_W`_$|l{WpQhMUvYIk9mG
zII03N>3lFRc}h;c@iAOE4or<`lzMAiF9|*7-p9OQI*0(4fG?&Gsjjkk2kW&XB1|s@
zVXJ2l?<>w5Cba3qD-y?#B`JY`{GVJc=R)wzkiMSPXV4YX!F=)P8-s;EtPb*7^Tdx?
zLsV&k>ktiDnu-|7QtFwD^WOV6g9t7h+}{YJ=B6fJy+rbtWfk;|bZwQn#z{<F(&<~n
zt1w%+qOEjm!BSQoAQi@|wt?cvkIMeJ+*c^fdUb&QHLv84q)RbiM0qQ~hqRw*>58;%
z5(Ds96Do)XR1fQ(fm!yPfu!PC1n-%_g@B3K8N)A6O#gMqu1bnSM7q@+LS34H>@Xr}
z+j_*VP!36N@`W7HYn^!c2^&smXbO@dJ~RmC_9|R<t8t6ewvIt5e~6D}UU}e{m06{7
zYFcuVsdxGY2Vz}_ji+*Zb)!eZtU3ZB!5gwb8cfKz@Q>R<T5ee<Bs<RP2N}p1L3`CX
zQ$0LOwi%&q4TeYGYov~rLg4<Vix29Ov5%`S|1N0Vc~%32cn*X}fiJ0D=##c|ue#qh
zk}IQ#E|*Xw$>(E_ZHuIZFR4^IbY{ZA|K-Xl|K$Az8Q^a#!lDa=7!%3q9jb>e24+cF
z=(`XHr^4HNAfJ7^%)S<5fcxH8V0YQ(nk7UmMB&9?fKJrU`wvRWHdVnew}oR^OG651
z!g6wP_lGFOl|ct}ypRpL9OzWNA#E_WSiK?wh~dT<6z3#6dN}Q>{t$%r=j&%bVgy*-
zm3C~_n_wFmAJ3A~>UR1GX{hg~aU0u*ogaZP-p~<-Ce3x@v@|*U0s40^k@{_}<T^#L
zHUUZL!Sy4n+{b3kTFu48eq`U@FO$I^;;8o0tNmW?nU#zEUb>Dd@+8h|V<TfE5vgZp
z{4YdBzFWU$Fl09?UTIt)*!^)Wl~y_SR-`+nljfl4uq}_jw;C(&`>ebL@1^tH#+J3W
z(3eHW(%CcCYrC>9OYjpK5NfXMrX^}h3q#l7s|UlyfOQv3Cho3iqvsR(e+uh6iy{Oj
zmMP)}y<RKj)V=?Jw=p7_!cqJ}#{%=+Y~TQ8EN@l~NV3h*?79ourvrpTS|J3A%*oY<
z=?-HD8lZmlq*?|opq4-_Fc&~!+5mg|CytF?dX$R}qoqo-(HP%uUb4WRc?PTl3nLNM
zk<N%bl|vwpQRiS0dnwqSW|Mub^>FP>$pB?Z5Mp;?PF<wcuD4$5IEUxn8%C$1$WH^h
zh@?(%J)fD0WzkL=0$%zXhrwTR1@vhVJ|#%@Z}b{)y*YS8MtD!7kFk)?l_LIAkA5Y?
zFSnC{!}86op2L#8bUnD^>R+?>@98|zZzhif`AAg9=k4grRqxsf1yl?^T_(eafM?I=
zwNKM)LHF%~N>D1-g*9BuD!Hz`*RWK%4uUgD5{nu{h7W06Wg^LvsWU<PrO8)J--2P=
zAfBKRxL#&k8r_LR+b(3PTDi12PFDN2<<Yy3ANZy&;Bg!ooh#y}1ujy-n|thmxH83<
z5I|#5&CdA^35;CHGB!<kpR~F9EwB>sw$odG%)-;I%LK@LYqbh13_5!)dKHaCC?D6J
zyK?-PkL_Za)~<|&f{?gN`o8scIH}<ttVO3l%&3}u@uvFU28@n?MX^~a8HQE!Zf=Wq
zR^=f<yo!&2_AR|=O8QtvIS>D5SNDpYTS3#8jI(16c>h>b|IDiqE7CBOQ^NT(_*bL=
zecE~KI+zMd+VqClsduNuR}%b=U^^(V><~?ULnudx6iKKkfr-k{x%0U5tdB)eAm>b_
zD8lblYaYC%p-zgMLJ~d~0q9zhM{j2XM%}yM{h}_tQYh#mh;>%lrRjuIOI;1O8rLL;
z)F@z5Q<V~8gxX=iti|QIDewlLW{)fT@S#?Tcowi_fd?bxiUym1ZJw?N8za?tPCVbQ
z0SEfzpq>iKjLMF9zU|z2{wkw`sH3{TyLa_<fF)a8<Nn?%)`C`IhO4i6?#+8-h9~2R
z1`~7$i6N3ZC=hO5cYAh7Tu!<3$nW$4W{QFh=CWqIrbgp8Z*ctA1D0VTO<j-kXshIm
z$`w<ro3~$DH`(M*NNa}v9Z0`PkEu@1&;4PE)0@fMu7L~(UEG#oaFzQC6VD=!8oq?g
zz|2N9H4Osc@;?C$BT)uLem^qTs^K6{KgeqLa@kM0y7+$z8l?n))sZ$?wJs%zfWN{^
z2)OEv;|*tEIWN6WImDn6Tu8b%Jx<&E{^8E6uPQY)KkFFcZG5$eA+R&8k3|E0wASIG
zKis&x7kz=Tm^FQ<if5k83ET#ir9Oki8>W-T7K{dC4?42S;(zKT=m&jUJ$^RmNXnK&
zB7GA&gmYmDZ^6<G;pym9m=V4h=($ZwTzkOF+kNe0m-^Y|nkWizyPI~mCY;fu|Gdb>
zFvT{2Alc!T{B7YR7P!k56O>N}LqkyOgq?NVn@dE4)k+knv*>3ChV9s5g(Xm-jt#*{
z1<hC+Wdx6aMF0FoejbX~_EjSApiDPZg)~chs2<}S!;hb0o6~+NfFch}*6|Tg>h3XU
z7=-ETR4Ek)xF>-+)Kpfh#zfR0TQGaiW0Yz`M~etx<a-dAK;}2wnVCdr(N4+%kN&-&
zH6s{pTB6F7&HGfJaKCU-m>)`HDhq0K1^PXZ$*o}_d;DAJM0NT4DD2zqlF5b>{(u<m
z3^OYK=Masu4`xo_K>mv#cqKGPvxyVtSi^n?h<}<q(kB<lAL6-sguM2~GR#*r(`s)0
z5p7zV-i4#J{eDk9AJ`WugK%{W-!zbKV}MO@VOFgTV0hx~GseHqMdgFc6VeB}0(fu0
z0?Kwz?Vnfy$D8K2_-X1(p#FkOjI_zpHsxe0l|(*RJ^)UkSxTeVT{A+Z4j`@38}Gho
za{T?_tBI_zqhXE)#4dx4fn|Z;$XdjAxjZSN4zoV9eJGSEIleMX0+s-?pi+`99%pHj
z)Y0}26=Ki5fS5NTi|`OeGCid!rugm*kM5hx-|k&&ttuZ4zQ1(6ZXtHb{P67f%~|ui
zWQNDqmyjP#{n(;nPV@hJD@crM%(UfuxOBW-=p5)a>q2HhD+PkGPxVZbmG7KXvU<`2
zu`E8_;9Oh`A}O&L1<kR0$ic9``0O{$5)nyP*dosBn`+(<+N7t~i904i5JTlnf#24>
z#(RT<e@?k2AGoQFm<95BhjtGPI;6XiXJ7YUFuA08#GGJIp)Jvqp!4ge!78p(c_bWR
zV`*~``<2K@>r>txt`=11gn5&-MbvG1+VMpTD!8nhkft2K89|5=O~!hqh`yJ$i?O8X
znG|q=g}i8?O9I<X66Sj(Kq+P!w~%lCHY5tc{e4NYKeTbA5x~0Bc#YaTVZcMa#`xnQ
z(?s30=TCKGpGc0cQ_a9`XIRUvA_2D48cCX#cFSFv(VLSRPQoZm3hfoEcn;!~1fJyo
z_E@UTT36xm?Rr9QNb#O9BEK;m%}A{4Tt_GTkIaxi)abdo`p$wAI?>$rJALRb-CE2c
z3a}1TStwTKz8O$(gBDm#<(_+^j182}Vx$twots0qKzSMI9C8^TaCMPv$+z_^6}#w<
zei2fqb-mLE#k~e5wP*8eX$a?2kC_F8a{(6@A<o>Y6bbDjMnZ8Q?PnR-nDKz((RBQ)
znU2dcd=`&*6Hs}hI&nFpMW!@tmsX8cF$wk~t?;6f90`4Am)v*32L&7mS8VPTTvT2t
zzRJ;#3!Iy2MHvAP)qndVw(jkd@SaWp4VX4MWk085tURQ50BnDmxog}(a8o);Xl9_D
z`SuS%XuQbIq5U=)Dw<th#4OLXI~5?3yC6SHZ=4sHxig)5agQB;cBlcUH;Gr{=ulN-
zzvLOn_~|r42Sib7It;UtJHffZdm(gqwtE(Tf&TbsTuJ77xz#Rl^b)6GDhcM7Q%gUG
z$5v9lV;;K|_8QnM@|MaYNSi-2v3E&0sp3r=4im~T*`n1!1J=PXfk}s&uWid}$`$VP
zKqB+tbf7X&HgL$ofCb^R<A*6}j_U8My<iNOBs`}XEdhY2akpuDRq2b-*4-9K5>l{D
zb=X)-v(*?6mx3{0iJO=J9gY%jX35-tuxynwjV^{J=hGf$YvMMSMJ4$(`i)laQ3oS9
z@f%`w6aWiVvm|bcah}J<{w)!F1T4y9MtRwpR5q8T4=zg-gl5S%c}6X2_=my+E(>h}
zY62fGHop;AB9@2KKIxsOtIS)f1MyK4x3W}gC`6=ISoZ?qb0hpPzJ7e_PXvk}`@g%c
zs~xE5{7r3&S|MAM*&2G6O#Z?WgZu&0<?v+%-t_gkZ>?>i_^p;T0$q+t(in(uaR@Am
zTSJap8u%RW+amSypL{1wdRs?@SGcAREC%cjxA;vbVpjNq4!?=CG`)Ir6c84~A`aO^
ztb}{yR5aKFL|hWPm90)zjZ<XIr3jIvtuNlt&lM9y)N6Bod)az;0%YM1NBwtE-Fz*<
zK1o*Wrs`C_`j*mH^u5(MA8NeiIC0jIL(*}XQrbG@!a6pp^kkc9BCMu9q*!iZ*vN*l
zKz()o_7VQ11fenDvzCw&P(2tPostY~n0O;LE?zL;HTcmIv>vxu=s0_WVdyyZ-N+A?
zYz;9d!M&i`sNqyPw2fG*6^eqo^4_Xcb-dyR0S0#fb6WCy8i`JyOcmSEZkL61pbT>y
zjldBQDvPN|>#@P$Z1)`R;Kt5$-lp3+@1u_LGzdm@yx9!PUGGxwjwo0LJ43x6#sk9G
z2`PAw9vTtSNEJP|#I~aVP)`$V1{2Y{J=nLWvn~Kl$$*S(Q7^8;#VaZYVGDX>-9h15
zo@NzZ4z>ce_#K}4EGg+m6yIhk89pKsS9ph5#Ye%L%CRY)R@9Z4{33hYmID5&TDrxg
z$IbKorC2(kq>2x+Wn|7P8aZg5=kqhX$cJ6*YJ?87=)E$p@a>}qNd{Nc*UgoB%4Rb@
zzIGZ(>AFc`LtaEVP99a7<O`3#TRP(;CV;!<<V!T)f>#O^J|mUdWe*s5kP|vt3PSqL
z>1E!l+UhpOr1WIf;%ii(>tAi)mPTC_F;$wBmT#RDt?Ul@Vh-#SzRN;(exLzW`$fh+
zmQ`2SU)*ZP9atP35dv`u`l$i`FALzP&4?4|RCe|KHae<MovI7gc@lxLrM;g!x?U#k
zRTg-J;QZ$$$AcfCQd+3s%a>P)%8cF2X@=ty?SH)DlNJpup4G~ehhrqIX=Wg=B`&nR
zwKoj~x^6V*u4z~(#vz+vL0dqmGm{blV^6H**p%o?xhypI289`0)jQ#{xk1y1-hPyc
zKVSF*Q^1?WLU>}q7vSq#6ekqB0f3Zx$SKOnd9HKg11CcJ`eoy0i6^rGxj|Y3KtA2B
zpE!M_lQ4Mgn4ZN-Bgxy2-PvGDCIe+}PoHmpug*osFEGg{<)`-QD7jSY&W01h;j0_V
zg!Ed%h~2jbw@l6?>E)1C3ZI8Z8Ly{WMB9*=g+a&AC{`U5i>26z4misI9aVIcEQcnp
zUmxUL9WM}W2Eo`j!CU8Crz0V`BF}rIY|-E^Dg1`Ox;vXdcv<sQAhdaSj{VW&<yXK#
z@^jRamvNC{JSzVigznbYz6J)jGTCw%$3>}1^A^GQ?q}yBUsyfII)4cn<f+ccmcz@0
z@9ozX0k4rhB9P}z@6aQk_h9)I=~BVbeG?D77g#5(q2uv*OK5!ORQ29Q{iSlL=0r)_
zWx2xt#Bpa;A)2e1^KYTFlEZeG*U~R@@9$Pn;p8zJi+w_>@D2hPr{No}6d5CDIS2*=
zLk$NqR5-NzS>Dd~G2mIxWpC&9K!%U?U2z&t<FaN0gA_1;M!gW0Kh3RpfdeT8>}s$-
zV2ZWmQqIm^lWiu)O2axC@u97cWWau!HdtLVikB&Oa?j(vfjg%&OE!4*8K9+4^zA|W
zZ3I*9M+^YRTk$-J$61yvl#&4}*`i|HA|k=h=o~n<{?@&9oVJY>3D{b#{3f=Ed1Ms&
ztrc)w|Mo7C(XDJ-R9s9f)V$ybbg0g)c}+ks?s7B#@R?9(;5Y^R%Fcs6<Xstd5p~+;
zSidUwf5V^n?G0ZfJh=8+2v`%;^izS|2Fr_MtMp`6FWa$oH-Y!)MUl=-e@SZ2uobu)
z;U-Z)LDZg73AG-DoD?{e--koFyI*j+RXNpl^k}Vj&Ii9Ro7@cl_@5%^k$=(RrAF#5
z*hhZgl~(<gkShTU8)qKO4&+w993G5a=OR9GM!(PlGHE5j&{a#o2CGL@7g>C%#z4J-
z(wbNt$lnaGN&(vx^+6PJXauseH<nbU1n}*s1RxaCH+t+23@;em+49h3S3n{~3uQ#T
zSQK##Z@>IFf1Nd_yi;I9Z23-Av_gl?dG?nUmeDW>kpy^KYw;Y5YS0RcVraUUQsW`~
zc(ZwS>KycM8usP*@8s!%#<79pHeEb4MDWoJn-Uz#F@NOO%1k1cyUf1Oz5%n373yC?
zJ7Gfl1#GD0O2!dAxiT1F<hZg@8Q4;v1n*e_-~jb-^2mF;Mtj7<a|<r{ddIDTlI-}b
zhrh-rM8<O3AQ7#b#+@amuG42>WM#GEp08^sA<&=Pb~V-g{2n3P3H?F`j!`xm>j=(+
zjK?EsR%P*l>g1%jW=%>8(~Cdn88}X>ZinE!4(Q<;<ZmB_kjj>}pK<>3mPW>-C^hwu
z=~9wFf%$J_3<ayp;Uubc&&!b%x(zRa0e0FM4^)1s5S)2@=LkNY@ViWxrRomy0zB5a
zrQ}?~BgRQRfj=EphD9>T;x`L$$wZE}M58W{SKESovtOPunjjvXkMuYJ+=K>cI@6h<
zd?3h(0m26XHqNfEO)kG$%%H3PhpDq*i|UQqJsnC&OAa6sf|N?bfFP&{D4;Y$Nl2G8
zL#K2}4u}FuiF6K~($d`xLk}=<Hvjj$=Q`hD=Gl9%XT@*b_hDcV(Iedl*PyqNxPdhI
zTB$4d26<kW*)L)g93OBwB?JuX|Dw_DPFoRr5(I|!rMlT*x+w{+TRk|Tg9_%)0NVa7
zG?fs1!qbboQ*i*EX#4h0+YmwA`teK$(_fnm?|7rMflK?iD+AAWXn_v%@hV!ZA7T+d
z5!`@cAbh`c4HAd%{~6Fpvq3ZEv%JX|5P2AM&K!A&5q;he<S!;lc+gKo{_z67a5;}I
ztV8yvD-}iou^94T1cBQ!&EJ$DVNfAg<z}flwpC*I=XZ(IDKUPgWa-SGO#?6>V+T(v
zRwTTZRuVQ;_5K_5EkYHN4ZJxAe_x;?m7qq@=tU#LuOe#z8hL2`XZ_&c)Z@YhGjEqx
z6+CfMtH8!TlXr1H?xJBMBDoeW7v*#hOD=S&pz|GKI%~*1eoi9<9RdJ~KE=WwjVuKg
zki6yfWr13D!{T}o(M3&bftuAtyt0l#s*fh%q5ypl<(uAY8)hqWO8F%k2OkGhVl~mM
zzzV6;Hwg{h($^XN5fHD9jY|KUIerB)WtsOIiD#0gTz3bgdaHB4J(RWNIq=4ItVz=H
z0zKLePLsuNB7~h~7M50CKi!Epccc7ii9$b$SdW~of1WdtKdfEyUs{4<HNcMQQNH#x
zl<pJ*#!#W}-!e=xO@3x(gARrjjewCmD;^aTZxlAQ^zey)GpRPqp1LQc#dU8?V6Ue{
z(@$RKhqJ!RM`+NysjphsZ&e91p1q!xgqp6R9NC}_Dt3jftEKUwazDNE1j>dcmi#g$
zM!_)fLzCYcecEz-+U~8oSBZ}&M$zGwACJp3p!OaJLQO>Zb7*6iCGT6WuEA3HuaTnI
z`wY4dgjzhid)$+ALM_59{LVHp;-B}Y@%)!}ca&mvfsPRyUJUCpPmWH!>KjQMYU!xz
zxtKrSAMV8h+@rIFpOUaqCGBxx+j}@_<4QUf1TOPN|Kw7rjN_+f=}6=n3g*u)OvqV(
zdl$oE-^8jo$cc@B{;9g|xW4I;y`(<`jH{FIOLq-J28GQ!p_Obz`Ic2~?q$qs5rEpA
zeXh+z){F!Zr*WUfqJO@`N?TfzB`hbz#66I&QW)AP<iLwCQacRfd&$K;L}4sTP9fNf
z7!@iS4!$G{`y*vr{ik;>7-*Q`JnDjd!9$Ou+^OdyAs?E#veLE)$Rfa3FAKKd0vL7Z
zMj=X)kZ1g^V(O2;Q13z^)U^)0AJ!aq0n_kZr4cu!EZY&{JtyKBVxZy;za9CYToSmh
zX}AVEnez(#+<a?5eG7zQ(W8wOEY^y;mUkMe@+9MI%bPD$Z)F@PI>Jt4e6{bIXnzAo
zl5+Q@+m3D##cfb{rschts;cEi#h9*xjzKtkNA1yq*P@5dWAEV?pDN&)dpfsI_XoW7
zEg&+wzLu}nsrc|YIF{=q)Q~~mr9>t+C~E^Dgj4h(D+I)CRn(h1jJyjTqDG`;PAzMA
zQDY9NJ0u^*nnND*t!r?v)0|vh2P?2aYeG@=Jw;WbS`(bOboIf*qd~+Di>ITYf=^eO
zEJ%HMHQa*Zw7Vq2<*9Jq+=$f(SMF(fp~5)c_l5YvpRfx@{+Gcsu9neRF5DZm+g{tn
zXky%!mhErq-rY8wc(Q@FhqH?_5l^!*@nD9VYbciO&MQ&2kj`ffvALTpgwh#c`^JNs
zOCzrxx*JNSr$yZ8ND$U$%uxJZc;V5L5&}aIfg1zRl3ra}np*miW~lj9+;K6%QsMk>
zm;XJ1F&A_U1%W>GqX&ukOG)ezmIJ-9ZZf&Nb>{J?BxRL7SS7dV#!nWgX!5jB2aNi6
z_He*lSHQ@(A+Cm*?<vtM-Dazw&KR_LiLYk0c1rI4G3E?6P8l=NRvGB`MV-rh#q`6h
zxc)(!N~&J+TYS&;w0WoIfsiz$!((XY!dhtl1SAlLA%a7#um>lTpu%zk{rA(SL3jNb
zJNcGhr<2kqvgf}@P@#Cf%9Qf*#v+8w;~@_`D6qz2q29D*kh1knhYqvxw9irV(W_ZA
zK0rF2gdlAED_+5%NP<YcUT#=PLHe0$A5((uXzXM{p5xf=;?05I!TA&f{=|4DWwQ03
zl0!z4d@bbz_qKrIN7=5inxrg0$Q6viKo+;~h;BXt?7R)#J3>KFt58pI&0!bTxTi{j
zOvLFHg1^b<jO?<_1oqVN9vX9)a24)$ZfXS&XiKdL`Q0zH&D!scuQ$rO4^=<BHe}Zc
zGn%nXQ7q(mmv-Hlu6eB`*7iaunYxeF`I%lZVD86ac0EvuBnW-PERlz)>%HekD{wC_
zOiad9ODn)pKoga1Vsyfjy(V;OF$v2o5M<o{aejoYJJkWgqDr5yUp<z+4tigMK|p}&
zk(d$z6WMJ#@+6|I_&c8VR_Q)l_>!!|7m9Im9pb(R*$>5%{Zlb}aLis=ILP0#9T1!{
zKK_+50g)zC86f?-oJ=&R!4ulB47zePWjag+vXY}~>C5@kSq4EvWMq}dMBXOMyeH_J
zp5$B#nS*-6%nxqjuqNBX{ow`Ht!o<WPp$axHUAz$?`i*qg#LU_%c%1W8V1+;w@112
za^<{Gu1xS2Q2A5+E99%^kFcGTRmxZ|lnB+*k6{A6Pu@y}9YfH<>$DZhvTjI7Zwc6@
zc*!&z2J={K__@RWVO41K0Z*82UC@BVmzD54QHQ;ixvXMw8$rB%b`-3gsa$!EfWemJ
zGn<GX5%O!CBP_Trj4Y2Sm3chgvlLut?f-|V6bE-IdpWsAB)KyitmUN6a?M%i$K>>s
zTRBJos^73%4Sms9Wte@A*jRGb8~{OiE$l`xX)J_#fQ`W77(k=b1O!p*h2VOEHuucR
zUkw(kSOQfR>%ym>>YF3)U{n(>pJb7bV_(TDN^x0|AuV`!W_0(^l<5Q|{U<zDF2c$-
zm=;EqWXhd2f{)F=LKwfqOhK-E&?3*Qgo@$6yKxn&X%+a*ixWGj23S#KP`8P82&AXO
z^~0PGqOllCe6$?B9v|q#_ly4N6rS4R{pnW&ij=Z4YrvYXOLU-iY#L(f-LnHM%OlY}
zmWh36ahz_mQ!6g<eBOgw24(uTgG8AWCeoikm{E71=LwVV{e9a^_l_X@`>xvQ7LRPF
z3jEzWVH7&I98-_%`9H0_9Kf_rM?FX8l{3ltC6jG_c+V(FS*&vIFL6u)T#<cMgPo}V
z`le43tmk)ivH?38fK&WmAmy|#Dsc`;VsM`%4<FL~1_knBs$l*PNO=W3**ELu!x=j5
z5VTh@dPbq^eR`kH`V-S)T7s9;i*JiDZaz$8r|G^!I?_+;HWMI!CQjGfaF_p;v0$!H
zjM}a;%Jg%o4e7rIdXxK(#Zi@8-~pIGBtAU11a)l8@!@;6y}OzL>@>-hJF<vYDRK2j
zbQU?V2PwrEi^tV9mH5HkSS4u#x{OQQ+2hJ0CSvRRAN>bQoY-vIh)hy5d1l2Ur<^fJ
z_mZ&VIsSx;XahLy1H|uqDpvZi?q{XtAlo@YkrIRq2BDT?WiO}m&CwNmYgW5nv;RMw
zf~zae%$&Av1dMr@lL2G}GDdy8_4*D%cw`>Ww&48oXbK{P+ExKK(E8iQM?m6&gOyF4
zapN<m4$EFs;N`#Dwua)C@&4fsv>SB!0VRs^eQ5nJ(iO@7;B#iV#()I|E*AJ}9OCuk
z%;P5R{2mxkYGLYZW8r^&tigTfoQEyZ<?4ne^7Q>2t8cdS0hE7b*qOEIzSfH~ynezZ
zzJ(Bl1LEE>pxqH?I3!faPtTShb%?b=tId|M>0yZ3+(v3+#5Sn{l~r>6nbjz*KY56C
z=6#JZ$XVg>h{;maelSt`{BSil`{&=0zi-gRcgU8)lyw>@#Wm$Pg|`7j#THUyH?s^(
zd8`m4d5XmO_Agab!q<5zi58Y?YQ!dg{FNH`-a+_WdKcB6dlpDMMKwoc0P44|do~g4
z+IFFkYdR#>bf~gx&(b6JC55uT?!6`2cSL*hg>k1^!H2Pz_4)Y`6~6rJH_;|Dvr*v6
zS~_VdeU2xy8*fgDnXf{uGY1|<w4%On3%jo_i<E1y{M_T=+vy+uz&s>|ULYiRZ`VnT
z+F0#7PCM^@Czez-N6_o8Jgk35IrEE|>)5A`2iOzjnxL2IoPEvXrbdg%yU!zF-*^di
z#+`I;N{kZJL%kZ<zx;J!UOst^9*!H5^Fdbhur-3hR%U_^c?=+AP50ku$r!h2S$my@
z&<CFjy6t=HsUJBcY0|AWnC;59T6(xu|H#O{Hq3r~b!ug6!*hlDK}R-nbTw`*NohRK
z7xM`6Ofx=}<%;(%6gjaM_nDK!aHBu|dhb-aU)9zdzKApz#Qi{6a{fO4D^wDy^C$)i
zNKac4jiH2E2IGnkDCC^)q0us=m~GWP%Fd84;bhPpou{W{GuJfV4nZ|nqm<CPpRn#u
z3&r$}w?ENWk|GI}QQ!O2hUwakVJuJ?JcHKqDa>GP&vT&RMrAVcZ#j}pDdusN>nVDX
zjFmhkPw1&eZe~twvZds2s0p{-)8br7@U!MXQ}(>DR+HS4R7}B^w^pH=k<;i4hWgyJ
z-JQ=v?0tqWyqR^F${d^d0)n1C#HYUFR{y#hvsEg-#ETlH^hYq4l<t{CKl6K)D5^gu
zPryOCn9kcTDnT`KFZbl+Lr$)|V4SA4eE0N=HECKTY~fo8Q8g2aG5nLun-A@<C;U*N
zQR;iE1icG>Bplpf4$T6j$l|y0Fa^)^$hcUNrMJ+Uc%9eKE>&x<cY#oE3?Z#@S-au0
zHQiDjekw~Nj<#lm4%*$B3EDi(4uolI9(8pV`tM{?S&K}5o*7_mWfx#6)vB>nls*M4
z)UHGq6sh?K^Y%db+i>&NqL07F6`hWgeplnr4Yc$EI|G=uf69VATzD%)5kqqJ2(N09
zNW+aiqbW%-g;{YdzeV1NLOPf-eC*xwgTX8=pb#P?X-zlRV7mvJ53t?QfTdC9cq2Y8
zDkN7xuklHd7LO$y+y9qy@rpY{!k)mPlfM}tzQ_D@0&RC*W+^4MWosGwdP<rHevt`2
z<m$PZc2~FHvTtMkY`?;;v#NHGL7mh085K!8a5mNrGc^lG5Q7Lxsnt)9>=M^6YJ^;V
z|0Qe~XL<1~JqsjWjqu=+8eJkR)kAYI9aYh=t_^4WN9?pu_R}C&%_v-nu4%3auu9Ms
z(6)vk2b52-cJ){6MvCe^O*10nrxF;zB<+9Lor-s!FPL~tjM^jlmcVN_$kqGl$lwor
zHOam3n;USU#!%s>2jpd6H^BC@RY#H+B0wLG5YN4$H|Jk6(PQO7e6nFXA%O(&+`&*%
zp~pd>cw%a2(YqKv&U;kb9wff|<{)X);?f!yAGd9ZF@+2Q=e&!^;DpH>1eleT|E^Vz
zbGKxjLA`QsL#k-UQz6kHG4JOIdRgqhdbQ$G>V#e-GQ7Iad&RXz<@Wl}fd3JKQ67Eq
z<AkBbI<aw*sUlI{`XBb>GnvID>cv|Xd|7#=KD?c`#WG$Xp>a`9cU~{FJ0=9YS+E$d
za;|}Fw5-oOvixayFW-)D)j>KmP~aQw)-Yf}M-0eA>F_zNXpXa@)Q`8W;!k0d5R2}v
z$h8vvV@@TE<ino^;?(<j2Vu+@r*oJCDhU?)R<h2?VI97w3L~BTG=sI*^9<Xu2^GIO
zs-McayL8!dDZ8>`#=$v4K=RZrAg(cL^=;>-XqeUXFJ_l#Di3^!`WHp4`&jKQfN4Bc
zASMdOw}&6d`H<&<G`zOhRUVQM+V;BvIj3N_1Qyl)_vQ$z=W$$!P4fH_NN=uk{bu{!
z|7CY7ZrPou5F5PTL%oz#lv_n&tO2<HgYQT@+*+HLX{gT@P$%2r-zXm*)#1OpGk)!w
zsf97d>#1Xb)|_gFa`5A;Fr0q-VEf64J2Rbw{mWyM?yM4GBoE5jSQg62<&wY#H7Gfz
zXjvoHbL-Z`SSx6v9y)R7N#}KTt#6!Odn<DkW?3=n?yXcVNu$r)lQyPYFBtA@f8d&U
zv3gy*7=q0UXSse>a&TzWHeCgbgU*0)5bN@qDr{)`ZzK+#qi<BaQFZ0!&#b9G@{liL
z_luxG6UWE*sQ{K)gMdQzY{Yy{|0>%hj4N`Dx8ByuZ&Tc`%tJF$O;{>jS-!XrTX&@)
zdGJrsdCDc|jrLyPN!|81R5JAr=j&0=Xx!*=P!*TP6&R4Z36h8neDhw_^?X8y2QuW&
zKuQWd=>m)P)RSCkof%^6YEM7U+PohCgfkCQC%}Usf&LRmx_RCThotJ|RYD>9R2tu1
z+TA5Ss2g={2z-cJ*rhCW);Njr<cJn(AbwJ9P!|0Z`r&{@>j}|KHMfcMeijU6(H%@F
z`xQa8B4Iu}4dE<Kn%mhrcSB7<puz3`eroNV{6L0S3A`ZiX1hggH`EjFvu1I!G9AB-
zTYc2~9YU@x#>YoQ(I(0IcR76bNuDgF!}`73gJH$XSBdjqxg`ScJ|sDS2`b2j^=*Fs
z3_v`1{9=~@SP_i)lAG&FqN-3cTbtUTzr->0%<;1#K_30a<}Ji?<;+zGLu#_}D%4`1
zKML>dq55X1riock9fk;nu~QaI^_a*%B3ocED}98+h{-Cy{=WP1e9O=V)3n_?4#7~j
z-BdT}as+W!k{C1#XBGS~|0&JKhnC*ZaE<{-{Q+s-s}+{kkABwtqR<SLjWOA__<Wsd
z`c|y}WqL>${wLL2*W#T*-^)fb;w-hHr0wB9YeFv$=u*F*pcJ~I+&o&aN!^3(j0qOh
zOGSP)m^-1veuoI#K=kt;F+fx9l>O~#_t@T}cA^Qg9jAotAHLme|I$gRYF*V{Z}gAd
zXM#V7(o<sR91)^wHA3aTsn8b2ftu#D`o4(NAk8L@NG`j<gr7LkW2CRvlWK3bzzWs6
zKe-;eaWWf9!dv-7=$W=Do+X;U1C#yz9)mhxxwE_ebWHB)wou9ke$wqwaJ`MZvN73f
z8qB^~=7|O6)srTx=w2d5w9pS14^HRDkutB(dX(t)D7}Dv4%Tq~)(KT@J3Y?5;nTv4
zU+~qXdQ9glutZxB>CjUDY>R~f4Tg63OdOL8iMiwFfPNoGHl*eJw-$~*SX=T^F}Hrs
zHQ%mvgse1btR5f#^PVudLO?WB>)$6VK&Ec3H6GCodD@8*Y_~H>w>@u8__NH<Nb@<C
z`^OgvLX|D?J2r0;x?bNN2AFEvxrcRYd12y`JMh~KSkZioxoJ0Ds#tatnvA`By2a4q
zH&$D&6kplEke`7EITI8WMdUZp>VpN$jMLQ?X#_(^;td;Hdb-Iu=%gjWmDNPc#yW6`
zS#lF}TK^x?(@f_4$L36fBR-e<ozzCMmNuz<DPp^Q^KknJnUp7gR}Ub2LOBU6kPj)F
zjHxQ+^>&LH$WnHMP#gbvp~m$0ru5+!(JSvy85pxL-4OYNV)jp)laO53hcC8AUB+RK
z4LRji8#C$;Kai$B+kNHqEZ@DkA>xas>#mJ!>OOYALefsRAa=Kn7}R9a9zr^N{{;|W
z2SaXgC$sNEz4ga+4a76IoR1fTppUT%Nx-&!51k9_O(+o%-N92~aqiqw-G^i;-IED1
zX?<7caOC*iSOZIgz#dD29h%XOwUBlb9@_lGKLjJI({{YBzW0!>VqTaWuWsy5AGemV
z`;x?cjGr`E)WWilt#V&ea6pAAk(CDP8bbuc+Bv<Te^=LA$HdM&sAs%ApLeVuF(~m-
z(ZVyy2G`;ihmcw_a(xdiIvH;C4D208SGXotLA!CI?XZlLGVnxg)EbXE>WHRRV^mQ^
zkIl~Q_siz+eW9+o<EI!ER`-7ibw#dL1tFrhZ3d=WvWXN_qV`z8-pVqB>y`J@_*$Kg
ziUlM5crregACLbhzCs8nq_%Sl0WauFZ~>FljR%Ed5S^B+6Zz}`Q@qUrxyu=@*Exo#
z1DnZ{RYzHX{vD}lBbZ0L(c#O@>Us@64<vcKp<XrEdsF^0);RdtLFK^R%pPU!jPNyJ
z)}et+3M%rF=OF60Yi~nVa>JkVyRDS${}f<^rq?P#H-^(`FuaWm@dq5xNPa#`k5w6&
zZ~0ac$gN|Iv!g^XiKoreqWno5I2o3mX<HlG1FA$w1-B#5Lo~Zc8HkGk4LlyBn`v{K
z@pXc%4?L4^_PmqJzU%yYr4f1qXJ+5xw0i#esO5%@AHg7hMG=>9OZB`V0jQp@X5$_b
zwwD(UiQa3p-`r{$oAwep^lR8M9|HAMggjI^z+<^U1Lkktf+ohaGSHNBJhauwAS}B^
zg0fL<#B97-sDmU&#gQi^zg$-=R$28@=roTVWD8&9SJlg<GGapPsVNfZ|ATm<es!`}
zd`aYw5x5oBLH#GJ^91#RekIn~yIAkj1dGJS7R<FSS?CWEKD0AOuEaEiJ{d|qHBgdO
zf2}PbAclV7zM^sX^+`VXij-Wc2+9X#e6Oo#sCQ#4$_h1g077eWAvK1DJA^Cs>R0dv
zQ2!#k^sM~g3vr30dRm7q76-2?$wuF&#D_0<DON3cTijs@Y7ly~F{%O$E$=q8NxsE1
znDNK~f@e^2eB+kj8Cw?+O=;tha>*g9)N?O8JkvF=%r5111VYGL8axQHodF~1-yWiu
zO|Fg#3#DLsc@>avj4Awb&&nVB#T00J-O!Po;8T7GlduZ|=c^`BvZ>kFOf<HY*#1@a
z8|fzE8qlLx2526Jtp~M2>VM#~+GI%AlCCeL(Eb&IcZdDVzE{O%-AkzI?7&|etvD`x
z6X5mok{4f+F-;^m*~}V`67JU`&l|}mUgKLEL`Q2M#DnYEkK<R5h8Qw74pef$8#o-n
z{z_<8Rz=(Eyy9Iz{5z%gxNtiWNA#HLi=mbdqs8=&Ex=9ZaTr17AidBVO24Atmy13S
zmVSl-sz6J{+!cIZ!heRuE^{pHvhhQsJY&CCvkGlB>}l1$RqOE4a{?Kg14nBkvWLa>
z3lZ%Xt^2$m6YJ>3*38*dUX>^>t@bY*gR>FXU1!LG)x@v&u)h%>T3$O#fLy3pPku)D
z3f0#f_sYL3(};gSMBIFLcK&ac@{*LfxuHr*`u}S0kV4NsB9qj@?~r^-8H{}&wcIOt
z7c27dT*W8sKZ>X1v}lbAQHjgI{tZ-EBI-^{wQMe$PQzf5eZl}pl##MPN%9g`3_n-V
zhgH=A6ZccRc<lO9LT^tLKAP`EFN7iOBrPxKE<~b}kzbYMFdTYNSB^f1#mOWxjgVaM
zyp~Vc0sbA6Z+9aft~o$AS&%&SEXw@M*heS!F3hUpFn8PgJ9w}4<uFH$N|G2*A1Rrb
zup`dPp=b=SpeLs>#nIA+QYn&?e$5h2{ciy4){Q;xVG~+*{>FTdpp-G{ec9jKck3x6
zv>*H4lZKd%sZfil#y&uUZnQyw6AA$ZYm|2k=@$zJ$w$y3ZDwdfk+MQj#G-zgK9p?S
z0u{(en@jPwxTfltdtUE5It(L5CO8&+v@CR>`(gZnlnch0*9SAO16vvX<x5}*F4FS-
zU1m_$vYBCv$p4^dVVBxK^TnqF6LB<YU~lwQ%zk!8Z`4edbHon#mjRTvPe9>8M4Q%5
zsbxmq$uUDTHwrtafjgd*1W$g<nLoa*Y%WO<f|#k6i|XND-&V=0NTAQ-IE)`SvF>=I
zQ5rg^Td$7xFN{x+GX7~8JuZfoor&-48AVLiiV98HVqBQGa|*Lo#vlj>-SsTWycgoG
zjnPcqmO#MyFrCIv6Ov5QSpF4F_Jr!|lNuGlch}M2E7k7?#@Ki;6{lgS0_x*Bljh!Q
zuRfnBcn{<#V4wsSV}n8Rhhz!fbHXZm=??s%d-hV(I{ywITJL}bdSQ8`C6^xIs!;Hu
zt;sdg*weI4K?QWaA^QTC!s?UoO>mq9P0Mpge>ruxxl%44)wT=%j%(>M!8W*)W0_a|
z#RESEgtQQc+os6VDQD3Ln!4|Tlb?Xd0o<7scs(E}%8wc7%o-j)+GJlA+!pDy?QKKg
z;O?GZg0n!CpWCsj5X=cN8x(b1`6kiDYhd}Aw$r@)Ml{D`iO(z{p%tdgf=o_48IKX)
z$!L#ZhuUl_d56d<il5tY#94xGe4n$r`#&Ak;c2Q)-lUXTDUTaj7NKX1U4G5Ie6Dua
zUnZKt(xE@9@`99^#Bu2R_)OL&c3=;-dQ={d_)1oAU&bFD^^t_sV0P|ltHz4PN(9^|
zr05Ig4&OS_W5Fl1X30y&&x#79k$Z6<zAp=+2$btFal$u9KZI>3&q+r5o-H~u8=H(j
zgboq%+v(+pKo8vCvq-&k(dvDb8f?qpM8NsfTE*`IIz+iCiK@M76(dAR7^i)<qV5JR
zoZefwmh$X*rq#^;7``oY(9_>KF;g{Z7Cue~4{4C;K!pgrO+6&Sx-u&vG!*yBSF<7s
z$VX-x2?3m^-U>x&c@TpA^F#G61i8wfA^*0@z^X9c{vZ99>-lVNa^tQe1;C}oRO%(|
zaO8+!Agi~M8jHUEnd*<B82Z`C`KBkS^?sf12NU7V&xwN45LPqCrilLJRgKMiOUI7S
za7Vb8Tb;|FxKtPF7K@QDejZSQ{ux?xL|UEcn6TH+Ne~FJ6b<Cs2YA@qRFDmfg4-ap
z3~$!|CcsCfG2UU>QXQ%P&cf0L!Bv7vZEv*6u;kFj-y&!u3nB2^zb_O42vc1jj;TSi
zZw+eb_9!0PR#PszovQhxO+{CZK79GJ;Uq3nFS7G4N=%9WbBPVMr$iF9!t77Lvbx~Y
zA-1U&Bd<k(eCk>4^>{=mln>p-qyIRYfp2{|R)6blOPb{W1RYMN{fZvBsy^;alvdLn
z!;mYQbNW`LJAp~>YJ({r-*3*-DaF2Gq2AmJ!TMb;8UV)#N9qu$e0)%tIx2mb<=ggd
zD=8q-BZ{wr=ELD+Fav8#XT!QGVJCxrL>JL~g^_I!pTPS}xj)Bs(UN>uiIK-VAS(RO
z5cu7tR>(Sg%$E)Y3+n#%aGp}EkC;v-kt6*4Y;vXe$9WHzXz?kwJ?>+unqKa^OX6?8
z5=H#i3*C_s?eUaQ6YuIj@fhUgQANo3#?G++#`jQaj5R$YvXlNJotLm#B|gA<)Xwb4
z_LPWyGxDN_4!z>|s!M{fO4?aU+!$8pD#NaPJ;Il6;bCAdSxV&xOw}o^a=bS6P3VNR
zx*Z}5KE_WdnsMzi(|$3|n0|bB_LFw*DH?2=ya^vq<_jJ6-F#v-`{wrYm&Q92kAXcu
z3jWhrVfF#`M@LIJyvRTp(#GV6%lhFBkP)@EDg}6CVsGHsn<vyZ5n8<+3i#SPKP$1X
z>P8v!Hn%jqxn3%qx8D^K$nv|Gc|yhY@aQgO@9fllADw|Bd&*Qk2?jZ->|)_@%f1cb
zFDx-`dNX|^H5WC+=0lC4b^RT325NG!mg;11#X9&RPvEJ(ju)D}D>x)V)Zn-Q=2ts+
zmiVaa-bu|$$1pSI=RzD+fpr2O$JZ&)N1G0cUKNXW*%z0@=wc#w+>3AHBN~Td*{747
zl#_<Uo6S?F#2zbg!MXXlk#G4h)_@>oVjCE<+&ZeNzEO&08XK7)f;A4bB*pO+!tbPR
z3uSU&#e<z`%0%_+Xy9=N($3c-E5WW6UdR<<4Y^fBhsRcgwt%|!k9P%qEZ$3)Wg7qB
z(=$uuc-<J1r;qVs*p{RDA2ggncai@%?yO=ojk9As#>N;~EPlso)%J&dy-gefqgsJ&
z_WHtO{uEE+)_YF4(H8n2E?4{6i(%M`dSMSj)NyklFf&;R19OfHoKGn(N*_c`w&k}B
zwhq)wy)0JvS(Q6FjTrd0KYFD22s(PNf5i)v6!s?Lb0~+Vy`0Uy{^{kkOa1_v$i}P9
z$#&1!N9(5yd|i?JXtpC5GVRq~iAbTo<QM<#p*h%GOBZ*~+p9m<a}*DF7_?37^B(p%
z!I$9|gFI>=%qZm+(eLi^V&CX$F^T3UC^alCG>5_0b132tJhm0yZCA579o?`xrH8#}
zEP)<&A3<*JFP1V?HDi7~>&d`;kH1S(70LBn^$wc3XZ<oR2eV?-y<v8`ndx}w(aRB@
z-D20}G8&-U|MFu-*8Qon^s%!7^g-pYTxc8=wZ;?ebPPmB9+Gv3`!PS5vjxf7hC1=Q
zL4D(dA~u35=j5~dvozEVuUu1Nxh!vA(g3C9s&Vxj!^qWDrGK!ZOojR(Ot{RsI$(p-
z_cjb$6-+sEI;z5k#tlLxhgVi8*2-<%bWJLNt#FDW^JoXyYpD`#Gq;8V67cnB{pH;D
z#v9NZ?MZT12|^{ZX4A|TOeZ>QXaATU6<n#7_eTj$Bz`(rDSj+t*7)k?r2H{$`Q+1+
z?T(?xCDQsJR=#5RpZI(Fc*YA4l>A9%8-}FDRn)P*4mbuehCb@k`;!xM#Nan}Cjhw=
z#XQgrnFOgfehDmkFiY%#+Uk7VVnlu<GpiUocRfFP#3;H@iW85+9uC#Rh*BMo4bPf?
z$n@Wyl8cWfpWICiXL0F$rXh12l4$<r_~hD(FiDGp_)>>1*{2O7hu*>G?SogYc6ux2
zrc+rXaUg!83o%l(&d)z#uj*7`U#K-b5RAmf#5BON6mXe~;bD(K*yD11N*RRJ?&Ck|
z3bN`NNYGX`PD|>e6}abUd%G1S=I?Pi1~8~Q8Dhd;F@>@@zo~GazVhywf6mwQz%&C1
zuK&;~yK%9y<!a{<Y||eqnVNIa$CpXY_|!U`Gh>6&pQ!qnfdwG9PTKDK%vu%N$yomV
z+U3>oVXo$4XGy{l;lso7X-x*YG5}b#X#%8^`d?)H>znR13cbCv@(rTjVvrw_zjvk`
z|5{4d)>gGVGS9+fAE!xQH1#gKQ-pl7Wz|NmhdlOZH*~+^+}0V+a#>VPQo+w8fc9Hn
zTU{wq7doh#c3hTu_38|xUJ8nl98TSwyi<`qDFiPRol)pyO56PtG@y0xe%VUD6O1{Z
z$I`s3>Rda^hildWR-T8!^TBFCUsVV)SOYCe#dEnUxBluq^BUti<^9O@{mw3nXWp<h
z{wvi6foBr^GnJMM+!{IaBMoWq#KcqxIPu(-0KSz?_m&GW|4jg<@usNys<@L35$*0x
zO5OjmZJJwf_{eI~$wCfm^m(S*>E@u;J`Tsxa)<x{?Mh8?6`XVJ+M_fMMLN5Cu@e(^
zC!T~FDA%@w6tpVbS8~s5B%MY=Y-&wf{%CF-@BFggoUb=mhhwmoLcSh5PMA@JD|6cB
z`Zb~YfH1LNu^mhuvkXv=B_nRA^=gCX0}a3N6KPDvc{_N?*~59XvEv0vKQ88vl>~-t
zFI``Uxy7@S=kt;?qHJz$VESB5qv?7#Vvb(s^Ua?WemUJ(I9@8^M^VQtQTepbn*C=M
zao=_9L)mk_!KU-BQpcO|tj06}eG0qy^^hN1^mQX4Lfe9iA7QVg9pHOJ_0uNgu`<9!
zduv6=B7clupFU3-yHj7CT5xE8!yGI04&t#;t+5ZdV$Zd)rEb2uKgS8Qbpq<DmFYY$
z_GbpDB5LPaGDV<t(i=~{w4eA6ZnC$+s+`FXr=yXjK-3MzF<$bRPPfWBX1;6kwJ_0@
zr{0(_=G9*Z+SEeJW4fJ<HtPGcBm<?YE>qTi#B5ITD;_#V)uci3R$6Wfp@IIUn1%e*
z$Npvq@1wV3cxltf#_GdL?U?0EN8?vA;l}rC#|_RY_VKCil(*=!IIlEgk*AO2hTR=E
zR*cN%%eh-W&vgeb+}ZfNWR?$yu5>VCrvMnNkvFR_=i{=d^$r@FH74SSQ5dk4t#$1g
zD34JL0h2jn5>rL?20<r_ksdYb_b(gs<{aG_e*fHg{4AySuB1Np>E)<~40;kShzliX
z_w{^rw6PaTX<5NfX;Rr$bPjEq>KufVrthBU#K<s44uX%MANx^Oi&EB@{aO#ql<M7{
zz;j`lQ@F)nALYLwcweuy__XK0qncU&H+pu$J)gigGxe^qvKL=Pykw@i_r4OVzAu9^
zb4zaiEJTyDidH#oIF@IHTAkG5O{!`(nf+HKhFDHIeH#XBzpj8S2T{j3;pl?xc|oUt
zW}3>(M;~TDKW7po0-u`>*%2U*Df~OKk9glI<qF-Ce>*1Twbplc^KZ_B@_e^LCG@LE
z`OP=UuVWnogv{SqVR{k<{+iC{>Sb<BmPzWb{EbDS7^DQ75JAo)&y8PSihm%Vu93N%
zl}@r6@;VL(he1D<_Za)yk9(w*-|w4tN5)^&*3LRD@YJx>E|!9Fs@f))ODntWw%49x
zy2tVhzvIf4UbbAUD&Jl7x4$HeUYa-G`Sl*u8mC9@=x7UTT#0xG^%+J~V`N$+EH<Yr
z%$E-M7<ZouxiN~aB{FKT_#;=6yuHzL1wvx0WL;@_Z#|H;wUm!go8nK5ze>69TI$Bh
zey-3HnqQNl3M>HfDa5m<X+BJDC`<>u<dcyY!4lh8GQYX;SPw1G-d7?Z2wcKk)Xs6W
zaG&v+&iGQaM>`-v!el5qMXI%g!B<xHEB7~``#Nzx3<?w5o_8ML`NiN&t}Fv;^1BIV
zv+CtDsFv9&_)wZ7=&I>ty>Dx2c2*zNCFFlBwA}?m|2Lg0631g&-eUY{!(6r)tTvuv
zPorFh-X(J?6eL2P%jr3{M99-T2#9IgXvL>&5ZO@q3thiTePi$`>wE_J1^Wu`x@6ew
zH&xXP^7msc%qA%hN}7m6tqE}*xUCCSbg08ztK_}*rmQ)i3*KAuEZFZ}-{yuAUEMkX
zFNOFYb2flV#*3Z@a|GbPAZ~olOh3uTzDyswT{XngbZAsp(^?JZ(BY$qq^I6x-BP#+
z)ah`!q(yH$B8AmvNfAN-88gD-%W9o|-*okRo^<Y)?kqMO$&=H|4jpXi7CHfWl9()z
zH?M>-vt2@MULRB+cI*EdTyUn`FKXO_?B_<IA=|~vaYx$%K{+4cTEd7S?|%}UZ;1(f
z1CCggR#}9b?OGlV;U0KDgI$ehX9oLuMyrz{_MH4zX@PNFSgQu~dOSZ@D_wf${1}`C
z0Y}F5FGjotZEin8Kzm?L?b0OACl4LB9_)_SkqFnpFJ||0CadjiXYF|O=Egw#a8keL
z;|u4ozcWuzagv)~e~fr2A|h{xrbWbfWC-{C0f``|;ImA~s!6MX_}jh8tOH*2#rw-s
zYXn`AoOoz5T)S0!AHdw+x9FkVcOF#SpuN|luM91E(6rLbaz&rzIpDk1l}myfgQXw7
z%O+C7*|Y0RNrPM&)?w^qZ{{ZpHXN|$Xg=o3XM-}0i<R#AYUSAdCgU2Z<DPOzxqgG&
zPWLj6*6rB9h`@3%BjqN7VsiqAt=>L%X5PA;eAe15U}@nAO^*t}wGf^LfFk)AAW)B=
z3ZO&Up2uKRwgzP!k37@k`Zv@v1d$-;PO7GH3EVXx%{U{$(}m;<AvXw76H^%%kXZA3
zu-eJf+2q9;Glo5|wDF#IVEkcm3}E!d^41W5R8nQ}?6RJ63di4*XCKlDPO<wm#;wlj
zER1|d24@_PKOfCT@uTi9Q+|I>>mEa*9oH(km30cg|3mH}jW+W0@e^gOdhDxi9`i)8
zQzHlC{<jaY=!=E&I<u}QR$(ikzG>hLSoWXSvqH;XZV(w^jSjFlon3dTXF!;C9pB3Z
zkJ@tn-_Cy`TICgSJP^kevz;Uz{7x+ef+hIOpyh$EUbWHjZ5A`6bu=zU-r&`{r3iU<
z683nTp16f&!H;M(B^MPW<pM$q0*#D^PxM0jle43Q1UyYYx$CO{iYi_NCN$E%Ys^a{
z)q9tdCQH?_U-u^c++qqZAx_)J=S$-#@bzdM{gU@y=|X=#ozHCvp-we|19oEPE2OrI
zaJo<3M4ZXNt)4}4bU429l6mPH4Xo{m7CFrb1QOcKVHmtiKYz-_A0Lyijv*eomQ1?b
zX{=cmO5n&&E?$oVo$?PgIc|E~``RYkO-ofoj#~yx;n!iinE44Kb@(;Wf_)xk445E2
zV7Q--h8v@5=NuYW_sZcd8umrq@2CQCV{!0($>-f&30W3J)>Dn{l`9+Nd>+aI9th$G
z-9#LTc1Y_+8pPjQ2SY&f6Y^^Wn@n&nW_;4r3TQltTOgKK0m!y-56KW2MH{O`6^Mgd
zk~z6$IgHs+`8->3+MH%vi#r9@=1XYIxv1@;H=tz@&~<u=qbHyYBvUEu!d62pfZ<GJ
zV3@sEd7ps$(*~P<<(Mn800`-I0ypqE$p?&o-me&k5m49r7tv#r$c6t3dBHdEejtvs
z4o|R9D-`@{<Y9~Q6TzJ*s#b5ti>*w@7RSF|&t0bErYtH;pegU|>lQD>0blJ^*I`)?
zx2{&@cA(pt`_}Vf#%gI)O$gcDxP+PyWB#X_rB*O3Hil$F)ivBcrq@&^CQTjT;1UJ(
zWi8>wrD}_MP3(iUpu1s-&Se^SR4Y0ltT+Hwyhpm2pib<6@c845)1}e#ppiY;8%vFS
zxL-BK9(zQJ*^6T}@Li4MX(5E*iix}c{<slmfQs89Zo-o8g!}^R_kyy)7`;P88Ou=H
zNeMDSJ#AVg2>6Zc3d^G^paq}pkvznUg-bA5M!QKz+NrO8HhSr%cJ`Mi7JUf|k^lZ|
zR4|njFA4|$-^M^1=reK!rn*#pX<Ji21+Mz*o5uaS%VBm&YOhSocRMe9=!=4X)qgz9
zcRb&@?f5i;^RX=!4f#T5n=ywq%N`s!-r0j!K;SSTaT?EY-ua=Ezi5w5nx|9qrP&%Z
zmf_8AY@<RxJ2e;WCVc2`C$BSvtw1-yvM=ws>5rd9djXNkbXwM9$!{>#z<$T^S0B^e
zDcb&XU8rIC4`}^sh>V*Ry1bT+jXyCuv9r5r-t38N2NZBdx%D02Yr4O#;uA&U78pPP
zjQjeGe4ovlj91pGM~o63Fcx-Rt``UPOj&%!_1TXFE?Jj*tp&2{oirN0<0z7s_mnJx
z5=)jUyqBRCS=Cz`c|v=*SSwVansgoVwq~UXPRL4<ZO!;iBzM*ULKmHRSb004XQTxB
z_Np*fc1^HGh66_=Vx`N#p?*WtgbDjvtaYFFmjNLjGVvhOG8eNe?Wm|^@Mot%e$l?k
zZrJ}PcMErARMNdy00Dv<ha+~N2EOXk;0_EvRhdA7-fY4aG`fE{s$0xe=gh|>OR_ko
z(p;CJfq_Lk^0<q+ta0VT_A}}O5prPyr^UIgp==*ap<Igbc%S!}`;69}&;T(a+WzC5
z?Zz-WxDk7o(t|2tLrVywh>%!vf7x1VAMp5Rk%LmMC~)I}j7PT|KJ5%rRT48B*9f%`
z!$r>?ya%3Pe0VFc?(4jIvv}E}?)zp7L+nb#K%y{Wyt*ZY-IK3h4mnLbx{Hit(TDl}
zJzGuuI8eaJ9_hh)s_qT8>!@EmOM^EpS5rL*+w<P<IOh=?RYYldoE%6$T_nQyDSCoc
z2qvNvYCao-<83LRovxHpIPn$~191I6<?puRXjKgbbcpfyNFx`dg`C}#OxPc^vU_g+
zO{c7`tu4fRa4OW=O^h%#(50|>JwWfq6-ReREgJ>l1E+YLeDCW5HWChPwri=Z&2|e(
zmQfVlYvopljYo3++0Q3(=f(Gg67n#B#J&IPp0`VO_5P?ieS_$&Y>&k^W{VnWTH3{d
zK*7wf>dorQK@3XvguIU8H5hVu=)&02fPW)UF#B?7L1etQ0{9#=fXkTP5N-5h$ok~^
zkG-j^KvMa{W6HVqKYLK}D=9mxKO&M>bJnLCQNO|A%Cil2kf4f=v9%<Tfjgz49LDsv
zTiLd$r9<<xFYWxsFl_*6cbNv%e#Ez<*<CcH)xayy<kqXla%~+pgXT7+4j7?u@ytyb
z@y6f4tj)n?+BAI73veOye+F!_lvh_(2?!{%WoDA$Zi!>o!hw8?eCc|!Hmp>?`q2*s
zNI5)b9Xp@3b%)u$ifR(+%9q{oS_1)@7=0&ky`2w64oM#&R1fCba#F)&%q2NTl1QAk
ztfxbyk=X8(OZ_Xn2DP|s1(BZx&#(W{0x1!$M=_KBWpZn?u5%_%#Y&<3Vw0D>Vi=iC
zXz-^F)`7_%s%bUkY%+EBS0@Vg!9<UHtnN8zR@JN){!Oo~E?vdG5B^Y7RaNuYK&<E^
zVtFz)HdaicriS9IwnYEMiP%(ki^8_;N3iFq*Naqxcb3vUeV!N9)fLU5zWTZh*Rju;
ze|{mJbt`+G7t`s9lf+Q*d?_d})Qq^BlydE%<c8Df9miOORo%&t>LG@`A}V>p5%&9v
zWRp?CcK7aAf1A|b=cV`*8p6t=xG>AB{BFzIo>hBam(Yff*uwh!REy!C0WnAWT9f`(
zY;cI&oepZbrhu-lUxvl2xoSUIPU%}=uNgw<T+)NTF-TibfMcJfQ_>`atFs_1wALXM
zSO|JoC-ew*?$-s<72QdHbOe3b>T^opvd8POZo(}I*Z&KC#ISQWs>HV12c<#=dWQr)
zG98J-y0zH0<Sj*PN;^MW1~u+9f~a=Ud+&S+J>*f-jKx}tp|1CSo`aoNJKN{ITyK=H
zN$OHIhm2NP6%XxfoV5hM@wzGH<^W!&r}J<TP_5LJFh#|mbp_T;{RW|O3h%MO4B5;o
ze9^X1O2v_uolpkjx=VnTKn)IxFQI}iE;wrO$rfjIV>R?x_Cnz&tuVcy(<w&CUNq{-
z7I$lT#yRMiC)OGL-VBOVeQ~S-ZE&VSbsr)Tvm6E7&vCZwNc=yZhXZ<6Uy*a28f5e5
zV2AlSPKV92KFkxp>$5axbrg&*)0*$ay9apZFMv8INsWZ!Rgi`h_hZ}Et=Wguq}KgJ
zzfg$>CAbXBLV%uYv#MbIdN=Fm>Aa@_#5r!LRaB)yemU{<XBwz%oWgG=Kowx^+SdAJ
z4m%Fpj6=$VFRv?#jFcbAP0>`YuvB+!K@Yz>LZw~DyHUv23%EJ3U@{#m)YfnOZ{TM5
zR+5){Xm~qE;>dX@LVlb*K&YdI$kct!71zgwnA7R)$7`8VN=^5_S-5V*uvj+7J*jj@
zG<zy(j?)=i8cU&2oo!>!yV=*y8pD}qH_ka4z-p7YPwZYf<H3<C1ZCztv@bc_UTzmm
z`9`Kd891JhI7)Td8x<=dBadu%L!3;cMepv#xHS}5Zs1#W)-w5bbF+j2U_Zg3aUUj|
z10_99yymC?LZr!VuvV(yvh~4X?4Pkw-9fLPE8J(Za&P_nJ_8<sNf-03!^>()6lucC
z$}@-x8B&?Cx;Za|+p|?z#;sUSqx<^Q`#L%M7{dC(%9=+9;4*k?nQax^JXW$MLIusH
z5`W_F>-5@eSCznt0@<96_P?lvJ!S%%1~qym!LeQEuo7&wGgZ~>Z&PZBCwxp5V-*L~
z7cCZjiKKq@4xC33@-U8Nd|x=}20_vEdb8<l7^HwasyEK~Z^i^1*0vSqGx1(W&B*V3
zLW@DU0PKq1CW?1K&d5#feSrdJ7Pl8?n|pO|#IFMVf&4qJaXgwGx6&aL(ep2w1m~24
zKkczJ0*bwaE-`}rgDx+<d^kJ%QQKOl<>1l2BfU+XQ}ZB~>o}%oza-2$N#a;{n(QwS
znA){i=`#H~rxnX(MlE1G4V0Q#$cQePkehBxR`b}<<P+win2x5bN(eX6CHQJbW4K%V
zoQ7w^Nd%o&XY$C4)bbVNCCp$bc5re4Sh?Z3zXdUL|Fh|Qh^p^h%`R0zxo1lo$~ZWq
zrxq}jIbx-rH9Y4H|EmRX2`q(DpoVdgRhOz;v+}QT*Q#$b*KQB^&BE&TXuj5-%yIb+
zj$9eG^(ceVsU=Xn<Nh|!G@-xPS-q*`o@3?t9rRJnoP&WcAUX=3mLK4cqNdvRB6!;B
zp&k{sLEbw%=JgZ5(*J(VmyNVnH%Do9jPq-0r$b}QIYR;vXqII7#}UUW3ZAk1mYNsl
z?Oygxn<=Ze5*k{N_$~eDJt2~@EThnxX|9XffwD&W^19Wi_g$;M9NR!$Le%Xu6a1s_
zwaS@h0E^h8Qt_3mV6>7R#g4^=faYK$^!wQFeWzewZL71{Cf!}Xn>n}f!6=~?<Z9Wu
zKEHDgur>N%`Dpp3aWrowG>j#=D?Zq}f4RCD-oi}-FY`hH3kOfs%UlJ1ld$+LlNn_$
z3GaS^wvT&0i9=P^DWMjwBld=8RQyno&)GK3Ef=*w5l;_yJ?ZPx18mjB34WlSJNWt%
z%TFZ+EWDH{_Ctiin-Ck>pXWyji}Q}i`swze@f=ohMMqb|TM0c=vrNHYxZ8lxk|t*H
z0*>SmY+7-=kgG09kl^MVaU(IQfZHisdKt5mbcs^%&y#fg85`UQA6|wZcQYHPe-&<9
zxwp%b`W`Eg`bxI*U5_4Y0}y1C*3pbZB~`N=^U&9b3B&<E*EMpOznZntme2MP3F?n7
z_xYG)$?%CjV##(`Hu{MrYLk`VCq(|Y{$}`Hj*oBHaF?GFz>FLk56UlDyw(%CRyxk3
zbE}u*UTHB9&bX%k^Vvj+Gec3H=FWai%1JKFVyTx;G05}n)wMXV|5pe}1uz>a2fVwV
zY<=8LC0(pMx9F%;@uW6?L#Dlj`&dlMP{L`*Kj}9WSy$YL$G^0pyv9W11gd!n(uEt=
zrLv4PSNz;YrEoxuHQO$y<VPJQKn+|8&r=MeFJu)hjhMQSy8}CiA;~(tV*5C7WROt<
zj}IHMEsQ+=r=6?c`;rEbJ0lL%nLBZqOQ1Wnj~ARX3IZz|vw;158JfJ<c88&?O*30S
zqkCECCD75@hLa#D<f=|RK<%xsW{n_Y4&9bs+ayUY(8gfs>7Y0)&-3eIDvy*;Q$YH1
zm$dgqMGZUU&bhkDg<0QVjO4E_@CoJbElCn5jo)s_Z$hiEZr(;Qn!k1n25crTSr&N8
zz_kU}BN&wuxo;BZ%RhaMu|%kI=YDzei@Zw`-_P}HHFIT{>nZp<-y@%;y{Vt2Q-O9^
zU`^;zj^}D5A85zfxuv3TAGY){Q`poDhJ^U9TpmHOH+{OyZ-szT2dsnxx5#uQ24&U~
zyl9BL8D#1{9H4e1%53_VMBV~MkI=ES77dCm$v6i%jBlnzR&bpqje?ycOr3I;&C#hh
zUKTBYmfR3?YD`?Up2I<g3TD9w%TZ=J<5VLyP%68s!5q0)&NB&uXZdVi4mSZ>e@9ye
zo|Aj!f#heOx~%^0&$v=HZhwo;!R%YfX&Jf>R#QXlZ*=1+EpFBza|s2&+&A6hA_bfN
z)JD_E-+LGXWD~|sfO4Wg33?^!w&(JM!08;LiR2M3+9Dssu;`V6zYnI~0HlnkZET|t
z%p_@|_Oziz@1@OhlR(6!u7QC!=5QI7%5$P2*iB|TU?jgY{KAET6BG6#BBlC$QqTF6
z^<G@L-#j4ml?p8N&1_-UK-g(I+#ze<j1$#{<jfN=`fR+>SY~bYE<y%<q9!)ed1O8h
zXClX*<zzTQnm3?MNt6gWaDc{K{Z`IR&*Y?7TUjlVnLg=Boa#9}mcz5;;1W<oB^-hC
zO@S}2fzjy|iFE*E#xmQdHo>Ek5ik~--Yr3B?b$hAD;3rbip`Y-ab8bF+p+5^V=WZ>
z%mxOztt*dB4bojcWsOcF$uJ2}Ou^4gzfRbmo?MN8$>J-vDadaJGM<j|zJqeVw?59{
zalYRrfE<Mxir#~O&Ji6?z;)K6-$W45;%Bdy6(zG|%r|9D{}NLr`&~&dNnUl|&MCXx
zrwpd9-dEpjV;@~Y4=FH{^CgkT0Qw`ik!I2y=VaR~z7KWTRrjA=^iIU))+lrVT58DJ
zm_L(Vf@Ys62#B7Ae+^9j%@vmSqC%)De~2^RldtZLa_+*fGm_oA5;cmS2K_w&!a>Yu
zdnJ6mzeNg7cfW&*nL?Q3ImN_NYn!hlR%_ooMwKxXBptEK$wp8rC{sacejVl;+I<uH
zp~UcA-DQps@=9WIu*ZI3S>4k#>C#?P0)t%BSr&<!VOGnMaGXaTW83+qmRRI`k(|2A
zX1=K_m3V^Ck9l;k=eXiZAKGx{>}Yb=DwXy=e$)6^PYyavKp}b>!`x`4!pzI4PPc|Z
zXkh$bBJQy`@9YZ8l=hmfvN;%*LA$N=S>*^eHAdJyi<JJY*VWVD8Y4FTpbUGm2O4gp
zc`2#G>%rbDOAD8}*#v0#IK3LO!VfqF#qNY@q}T2jaL*kTT#u8xbqdzfAIlMt`cEHM
zA|Av_Y%c&KEBtHd9SJAa+vq}l%g$HCdwI+<C(uSs-|@t6t^eqn*wV&at=|xTynFzn
zTh!Pg-kG&6UudL9lhgDC;*0A9_LwT!mGTN--MQlqNbE9<*puF-lF=6`Ny1>QJS^~0
zS=||yI~DjpY<+h))&KiHLMRj=WF^^DX10Wom9jZTR#x_QY{^Pi*?V)cXO1m<h3q|#
zdCYU1@q2mqet*9I{I1KTKf11ZzFyDg>weyk$Njh;_kMW$MZp29Zp;Irl7NfvG)D?w
zJ7#kgX{HQq%RA@*zsV_Gzn7-9rk%Is!by2=GfL!*3Kx}+mdL(0wdgJB_-rw7Yaoe_
zcR4X5H1rk?)uP^|`$~EJB3BFMP=o{mMe46yPjFiSM(kuyBqZQ(>2GOHj^-l7T#Bgs
zom*0a;Jqj0^YCG5JpC6RG*-IbpvobuI*tu1VfE*L@4{hA^QBSyNPIvQ`*APm9!bMD
zp5-x?{tf<d?-Xe#0MzYZBlz=9JlNcE$+%wzczz-h<i>kafOw*v!b55(r9WL&GhyD;
z`gI=3!_Lr;-k?QsimQ61ArrRkJ#{lT)UZ5$bXvp7-Qor!8P?=m!mUXLnHzCnKI6M!
z1N9`UX@fe((NNogsq~F0D=$N^6FStky*%C;Yzh43KCc1!w)4^HRpgnTaWJ~k>Zrae
ztvH0ae&ZU5JFFMQ`Bh<6zdgZ)hTSrJu`qb3>)@9(odvBJ62vS4wG*a5jNF@mF6Eb5
zGXVK3MgFXiR8)}q^t;ROrZAu2o!lLAT&deF_Gdy<MM~iAunUa9A3{$$e>N`$z;GhM
zrwd4Pt-*TOul0}L2##U%&gD9}Q|T>dD{ynh1mm$A^oL*S0tOp*0Qe)}3vlV@K6?6!
zk>uVAU<oqq^(#1wF62adw<wor@Izx(SI;LI0p@_x3$HKL6Q%DRM_W?dak=M?3blxH
z;1xfv<N~n3Wa`_6t+m^ZqM;tU@xq;aL{iUEKcq~Jy$b|ClX`BYWUvmg6<Ix;erX6^
ztoM422V%D$!$>F?A+Y$J+h7VF3h=}$Ot_EG_~w^tJ8yU&`^Ah&C+XEX3L@=}&hg!;
zC*LENc0f@4(97j{Qfc1CI*Jc5c4pyGqf(YSu2h<`nf!XHC&}ylsr%wZ7OR(QtikTL
z$5Iu#m1eIz&ZZmsWHh35Dfe{0Jbv)t7jfw7FK-XvJxO{K3Twt*s?1w_={mDgpx##>
zlp{Mk!j54DgRyZF_MlH{)G`{gcGW`_(6#e9kCp1<*Ur<WL1-xB7B-)NpX!Jvq+{9L
zpY)}c<1us<KF|wnZmY}Pb%;faIpbZTyVj>TOkwGwEOasU&ZzzHJjFRgD7(_$4|4iH
zQL%zfU;V!vMI%iYCNtOKZ!rQbxproK|2bc03MgXg?lTPE#Wr9D*B{j@*Fd+yggICt
z>>saIAVI_KS2Q2YlC`%Y$y1`glZo)wmxn@WyAQngq%Uo~O{0aT+LG%RC<S_&X)Zy4
zeZTEK&<A=#!*7hr7{2@Y=MA8Lmi&lUSZ9PV_-QJ!iiDGy*1>Qlel{NkmG|Pp#f{^x
zSQt#5y+s=xEbYtjfRVkNf-BaF$Q-Zejsiy4OsEV<p(+HxQLquY_80%GtqSYb^W~U?
zlkzz6S_gXxTw;Fl`#}C72P|&iqY67cfCVJqu+Vds{ZPR2OLB&v<vY=0CkhKshTdKR
zysI*=Ga`1+CxA2%2cJ%|?eI%mTwzI6#8vY-ZuETK&7U4o!?XEnP5xiB4eV>#-sUnQ
zeGK#N7~|}KlzuC11XCk?PEmB_?q~$<LyYcwCp4P~a}N3}3>$mC<?C|;$;7VreF5sK
z-eIem`Ew)5;PEo4%fQR@_2ry^@uz2ESU|xhy!6oMe(h#T70siv#Ne&?yY2NV*}_<l
z5y^|1Yf$0>@<&*ph*=9h1w0%b#r0RbnK2qC&lD23NcR@E*|tBW(D|SZkC&JZ?}X1C
z`7(2OZoBvV+#M4T3AG(`?nWjzsN5`B*>pxMYN!Lq>co|RbCutu>#Xp}%PYzUIoS3W
z_qQ=RKi|I-KL?-^=n`;#lW-XMd9J_hkj?JHy2;&W>sTqvfEvk>zqKK9@AB%F#Tt39
z;=8p<DGYWcoRJSO`r%VwR{SINZID6b2JQ9zaGasnNU<5%^U#u6JN{3I6je514ybHn
z=QO*5eLXhf&#0N4ttz5f4F-hfH>jM<*2=}_pOnwo8y{Nw^5l#*ov$3Qq~@2l0?w8H
zoW}ESidU3^^Esa|;npv)26UeWxQe#}6fKN@!uz><{g4xx{)sm_(9pt*On?NVTJ*ZI
zM`R0~oc`>_+MvF|0iI2Q(vf+-{9)EZO{hZFnB2m8KZ8$}L+~XfwR%M4l#n^OKG4!M
zq!d3VkY`47!!(uEw&^yFbZH&Btxo-Sj&vg1XLs87x``%qcmxmgVNyVX^Ecp)VT*#J
zG1K<Y8A-_*u*A!lsvNr^p=n>(ZYgAO`>2yVa{#vvTRlI4v6_KzgieEeegd`%u=w=6
z#Z_s?#g+~=@%_{3UPd1~&>F)@V1!KW%}a`UA91U8oxx3`V10EYPf%Al64S12^Lj$a
z#y)w$y|LrQn_7&sI!kV&>28W1K?|cZwQskzk=%M_JH<P_4`hX3&uES>>UQF)g*NDP
zyWwz^7y{5!{pmZ?nTlgHIB~tA71B2&1A?4uq@ltc1Zx9$n%(Cfqp~+cSZfVq&$g_%
z(p$e$&l4H=9(U6?3IkbMFY4{8m^TImF>I^?obQ4FQhY5i_j$#l9@vvQGZtnj?y@=9
z$=%L5{u1At0T=bFyV^wAWxZC?d8RwxVL!<hI{s<~eS|;oqx|<b%#obVX!FtbwT*Sl
z4PUMaP><+qiuv*T7IU@6*S>Kk496p7b3hPE`mT62U_d?w49j`M!w&04zi?;2%8V+F
z$F{>bBd3jB?Bk%KrSRX$(5vjy=qDca6pK_#{^LsQ3&BcnhsAarPuxPWT@jQFQa=a4
zkNo#BK+A?G8B(qb$Z$zRaH6hkKCK0_aHa-s+69?{%|7l#2hk9t+1kR#>g=nBgiBxi
zET8|5QONcBVIx+UeA?Xl)xEn$B6b`n|GgTRkrf=PN<4fQ++Kj6+<^I{QUfh>RNvjG
zBt}JFW@Q;y4Fg%BC3xwwM})DPQSff2q~%Bz4wQTD_E7~6m}Xf$<iUd47ne~ztMoIg
z`APDi{jB-UEhgzMf>vB8$!YlbLJT;JlwSK9Td0L%o<v?RItW;FUqbG|HDPZiv7<VQ
zyiy4mnQ%pHBxjDzESOBt=A{$j@2N{|hRiSAhm}%dh%>)f>BgX_azB9^{O!}(VZG&)
z^?X`2>3@K0($K~9c?Glq)4-U6&bRBInQ>@7&~E{F2=eNHyNJ4ZEv*{2DrsP?ZQf-n
zL1pFASi}f;Zg!S#&m(&u=5@20@i~@m-3nm=1LWtyH_17T-6kDJDqXZ`o~%8(8+gFn
zhQqYhJ?iVAv&7b3KuetFtj5$jx<NX-V80z>O)5Z5DE<Kmz!yz@1;FT;&-p8f>nsj7
zR`!2bAUA+dEXeDVe3x`PTLlz9a=ij{9rM%phmVhURhkyDFES~Un&HxiUL${231|#I
zil3*A-QUu3(sLTnTVWM@UKM)9Pe^$6?#=KT=nyCKg}|?COEUj4;UZo(MMiL9ZR-`N
zkr`TusIRT1I`#{RECx^{;GI)Q)YiZhj>F0Nde_o*dqngeDcLg*P>`49NSrkLd9lOU
zd;e<`9k*=eu{!`$Z|N5^H2dBzkS5MK9rKr7<NuM_CK9nPf5p9a()p9QjXzjN2P2Kl
z+(loDCNANt-I3CtmhT)DP|hyWNabj$ql^Ni`GzX5gm#@4+@{m7l^3V_uza*5P+GBR
z-Mr!bO`1tvY%9&BA`oN0p!jqcAS4L!s;x$p2rgHs_zF}Ba(3T#kTMtEUSmmbo*O0Y
zqqF6Ra@(%4nV=?qyvYG~E`*Mo2ImR%<#JDG1O6@GRYrgY<evqdN+&`BTaTcBbdscw
zyC`qEQs2pO98a66Zdz3N@CWS8)z;gzmX1m?aQu0eT3RmLVml*i?1&mz=;ODdJX;4N
zcM7poNb-kdKxqbvkJ}i07_8B3-r4qQplR8td6YoVBIqrlcJ(CfS%jKo_i41q;vZ+!
zCGoH(EtyxUq8iiDdT6ZSBd?ZfH~R3F)XN*eHFD7?R*Vx`{wf#r3DbMkQzLy~glz`Q
zu8#M)LGpJ*8%iZ_2~wUyRs*B-m=0kIlzX`8m%!)b_$Tr9!VVPhMvVnPyQZHRn37$M
zr*8QQ$FCBb@v(zgfcrUgp<Os8nkYdYrw7d;HhGj5e5Y_LU4Hq|GuL9L_JVfz3uQ=^
zZ))w0!xl;ZU!&{lF^r{AnAu^Og`)wdrl7*QD=+6Kk2B7Rcm8a`GGfOSFkLLGOw*Y&
zYBka)ET#^zPF~U!$b`1TKi|IaAv0%D{Qd;Bm%RWxc@N*e6u0v;g|)~!tC(b<w0|7c
z1dWeiTj5tg{n>^KE31xK8W_d*^R~jyee87Vo~j$?N1qd70TEH8I^I$?Rr>ZTKrq0L
zN4;!59JP`Ub63>cu}+|tupoUqcQq$)8TR~ktwm3Ma>nF1o)wF%TPsG%gy4a!Rm=?h
zEtt^9Y;UJ*WMK?)5BnPx2ko6$OKD_&V;C=VxbqOROS6i+g<`cgMyIWF`nc_{AU~he
z?33HR?@!?L%tQ-WnUd3*UMb~2?<r#frmkneMhGtZM%uNx-jceiOCi<|=pBB@eq7@|
zZu~Ypr>lOsbnPqkN2+K6Q5~Z5Yr6kzQ`&9!w^wc21s!vY+(SHKJb(@I#;;{28k)&^
zL$7OgpG{%;c0%mg;JC;6<0zzNge>M-@l$P}C958w($Lr}ey=!SPW%}mi9;GW-fl27
zQv`n4m92<Ei$ws7$sWUW>E!$B4wHsI^TC_eLO!>&GXIWnT_C-EH3y6U)LsC_EG@OQ
zK7HUlo$$o{HdB7P33kU0tGeCP!}JuVfd5=MKz#$K={BPk=<V?(y|E~Wh~-Z+c>dDj
z2DTWxw3ynar=8$|t*@WCptTH~p%K=Tm&X@k#zT^@<lIqRZEXSPd<ngyddf<;;nvB<
z2O*@ueqLuKvhLUn3o$)`1d*^5Rpa2{3AEkrd_q6rhlOqxdzb8{`8Zw}HLH7I)h-%q
zb<&aA>E0Pyg~QJa)6elmM<@vAUzz9<;S)%Un1r{pN<Z0JaR2HJR@u6lYg*j->Ru3K
zEeyawz9+YRyU8}fX^Bgr$QcvE_A(@MdI9OV?`%smAvlSNRtMVPyb|b=dL@mB2XEh?
z+Om7!i4nn%lxS{gZd+TrE@j=Y-CH8jd%8~NbDAhCvR)};btJ9<{vOp?cbIi^bh8b}
zPWDV%yqmy}kl6V~mx1%q!;i_}4q|pYA3&C|RZq)a%^J9ipBBUfdB3(7iLe+t4UvhV
z(phnS#|NA3S(U4sB*I`WpddE@W!Y;|i(NJ$BgIbwocsHGRVIog^OPEedowrUrLREV
zjBM^1V5fOCVD72Xfz<n6qf~oFWz5;xSt1tBkA+uW7y2N<<MVYQMa&St_v3a&a8-=(
zGt8Q*cg`~Zixks^taX0yaU`gw_fO7I5@Ol_3+N*g-JBipk=Uob52|6sg&Dh-0_2^u
z-+0Qt;XkpS=VebaFy{|WVfs_E7O7EIMNYlB7F#?0o@~nd{)4Lupn0C00T{hC=|vFs
zSn%P*6BC$o=J_#X)?un{#q&v4O8UlC>rw_r9a9;r2(a~Wp=+HdBNy?SQkVy>qp};<
z?H@}sb@p?(Uv64Yojd$;aquMfXMl?=jifar5$rT%f2iv&KEVd;Ckj+=9giNLyTh2y
zeuH;^7jHbTwi5p?Ify<4n3!$Fh3Vgl5tXm9l<;zvQ@=bF;6N0h-U(^RbJRBD`gGnm
z4hG#iJKvw9@jXdhYN6KI)^s{oc6*=7B^8qz`hA8BgJ{V~-N;3wLhmDP-Gb3uR$&px
zJg1Z}{^IX3Ud0RDebrG1{SrKbui;FRs1XU+;J(QG$Ij+#W_1V~%`D)Iz4hr~22=Aq
zymJb<<Xuk)etFN=wAu|eH3RV)vK5YfiOrPoa`wvf+vJ>H;ll>pAmfm}Tn<*O%LV$f
zDT<U$&|#!d8JTAv-&XhHPA468#j|h`@iBFE-wtMqDoJ`iCHeHex;G$u(KdGOV`FdG
zQFZjbVgW?=?SQ-$Lv@Cc3aM{NauqoD-@^<m32hdG)=)x+CHr(IW{CAnKXL8Ztv5b<
z0%sZ6JuoNqH>2L>h_u(G<4}sw1~6-&tOaOLW;1twEr*HO(0~`lqYp#*eX|FrKnNfe
zWsIn7rMGbNozq_wGkE`jeRc^dZzbEy{qz-Xs)%C-rbndp_~O&oQ=e*&I;{G)C)q6k
zTgkQI-iiWbJjvjT=B1xzcLZ;9i3Zk{cfwvt4va%8O}i2f_DIi2q(!0Y_a+2n4yBSz
zW1sqwNi{_l6~6yv;;VO5ylYf+tN`8OVzQAHC3-p2wRf#lZhD$KDrC{0aIm<z$mgqD
zN`FIrT3|$i^}xZ-NZfr-!$)16+<0|jvX<U*<Y3{$G|`a{2C)@v0AFbKfHd9x&Fg;K
z`e<+WAZ0Y)^avJ|$#}!J33=5lZ>@B`J55gR=IODz#MV1AIT<U+S0Q?}G2UHRU$d&c
z^avCw_~ePni#G!TU?p?YH;;F9=<aXt?#9{XW-yksi!#s3Ov@BE{|*-YI#syy^~oPC
zY1P6da;CQ9tlzIONB3onzlPu2I)QJ5ng4dqli;j>R7800Zq@HWod5g<B8P}$@=g6F
zzosFr=y@PT)lL#bO4*WVEJrBgQmOXGmG`R%QRObq<S`Ati90%JM6eEACE<lv{PJ$O
z8Qw(}AxiH(B>2cdtqDOV`n$veTzvXqak3M|X*afPb>)cReKNz7Bxmm?JW#T6&z-yz
zuYvYXP^?jmrl&4uRn1*D-JpNxfNMbf!(9)VnNP%4kdap<F;OZ%Jr8R)*}ZZwA9tGV
zed36E15i!MeqX6S<x#F#vl+I{uyC@Q@^6%KiiUoT0>6s9C;Ix^YLYI6o6PDjGC>Z5
ziO-y-)a2AmQX0FkRE-o#A9tJC-!?}RUj>H%aI4?6`k7l<$H?!U&BU7eD~c5!XiDt2
zszy+)Sn@irFrsn@^$chMjU8b-+Tn@*J`{!hdUl@+jHudR<H)Mdbn4M#k^-b62QM@K
zxGj2Z(Pqb_3aAL&%;1rni91iOG|dxfVZ!RAvEFPsVK{7nEwy6Kf}izHtYGQ^N$+^U
zP^z*@5)Y>&{HU|>gjjLB9sV>J<lQ|0avA`dhhY<B(x@X_fwO{Oe0?^6ZOddKkGtE)
zC#gUGWI=R)!N1P9<A+>cx8QD!SJWiAQEh+fj#2==!cAO`2S)GCKaK@Fsl2%SN%NTR
zem^Bjig@$=p4JcbPANdLv*%Jd(%Z^^p8rS3T>Ac%=AYP3f0A?QZj96(jVY9Zh63i;
zaNGlLUPK?jQHYZTU5T#CTMJ@QL&Xg1Yu_BqeJG|w>!mP-76s>HZ!uLC1O3-EBCyAV
zs>si~`=euQqH^hXIly5O(*-=RFHp{t-^S6<dD=GZPa@6BqL0&Dh8v}A-(g?D(q>C1
zr7ukxT5B37wl^efjIl}sulKXd=DkF%hSQ!&<si0*wiNL8Sp(wfN&It)*n=f4(^|e1
zF~;N`tt4)G8s|*3PMNAblEHfv5IALI_luyjgb91udx!$=+tQ_9bjCl5&0`(UKb!lB
z6%?L-197i`&l?of5r8Vg8gYZ^vaPnk$N8adY|)#{bD!tb{8}*U!#`ma41`;U$=iGJ
zNg`j}f7f1gGGUHl6-%&<9;fDb)dc8Xr+WAMY0&g|xHeOZ_L(1RUxr2OQ#?=AP4(*Z
zF)@pLy?y21MmDS!!yHO<>^#EDlLqFusY>PWfQ5##;K*C=0@dWJs_XJcX<?ePG8Vrj
zXRK#waA9&#K7fP1?+;_bw=RBC^}X+|n~pm!YglVe@NP}9g>Qg$FVM5utu8kvdGGZV
z$wXUU;BrF&qIp%107{BN-^R4$HQcSwX_bU)Kjd+_b;dA^u~L?jxowMpj~)V6cULUG
znI<<B@OUYTN|s?J4C-ZBU30IYq+G2hu!!Vidg;S<$Gg(;@i@d^WCrlF?)-AjM*ANH
zGqs#u`v*$)GI$tT(prReq|-ujDS~hG<q6cMkVavXhWmvkHrD!y&R<6K7Yfuz!Ytk#
z{3-2YQnA`d;iQpePy5(Waf`2EdEgr_n)OMlBwYgMgSEF_pr4Zi#~=5nUZLfhLb5a4
z`4fU-*Akkw7eI)99lq{rLE}EaXyp2c=t<+#@9>vum-intX23VHmmI-Yb2PDG{+#<=
z<!wMo&;KUbNIC2`nej}7{m0*)m`9_s-Gr$1t}mh#n@ckW%PA+LuLAI2nb=VTIFHu5
zYz<pnD-4HGK>qK4W>c6k3vnb-x+g9YCeG&cLn+O&2dpu~Wns+M<(!sAbll-otBBEU
z1-@3^>v3V=(}_&fIy+Fau3Kxjc*}8$FpgNuScUTD8is#`YJ;0|Sshd<MHMmrgkXo(
z!G{g<eLqp~0cl>QJCSZx<`;h5$P|b{0f=2pxg2TR8mLl-EjRwDpNOuptE`U)*TRqC
zpPwyucyR7QVi#D+>Vqga&JA2~NYjNR()qVOyU?qi`tF=Kd$Xmwtm?3`w!PNPzbF-t
zQ0FH80_<Gd(VaE};|xV5as&hUZb{CQTh+BUSGY?RvB>F*mV-qfupdei=>PRL>Fha=
z#mX9ss@x%O2MLxudL0_pkeV!g1(|_{2%V-L-OV02E*WEDbo;G|{Rt@S?C~NcrvdzS
z6mV$5*)b}tNCqXGdi|1!L&&*9cYc^yrGqJQXyT63Jqx+HY*^Arrj#Et3Ah?h)|%b>
zZta%Q*_S}qX|gP?m=01Bw9EDNI=pf>W@9`5G{TQ9o5y_?Pcl5DfT_6xnpkOqn->mZ
z;y5XxEE?7XOzDb?yJ17<5?)%KuBB6-6XA)k#dDd=!xbzj7F-HuTnY{xTn-{QUsqw}
z(!s@u*<SLBcmKgcGYtmdk|pjRuK9DGn+w~`Usgra3%^d#xm>YL<&DCAy9!6$>7&Sx
z+{qj3ouTkhYs-UMwReQ(Q*mp{?C77_4p#VM+k|ZW>zs#DmRc{n`7t*>dr_awM?yY#
zifszp^Ax`$i*?aSgq|ITyBk>R=B%&b@ON}>jHLM^cR=0_SLc5+@2t9#DR$44i=9m_
zO-emG;_!RCK`~6Q??Nth6p%FMfT`{8Md%?@p@>wGW!Nu~4vhZJoVGwp_unV)iBtBm
z--FS9hU+%oCZyPV(|1J5&k%UBAQ+!OcKztgfp~Y1K2NxaKKh=KAlVX5PZIj8ob%h$
zL~@?}i_5iGe(>pW?}gu9oTB!1S6OMse9cZ9d#1Pd%!EM(pJes^_whQby2K;4!*M{?
zt@HKbbF=Duc`n^SopnVWo7FDjd`_*xqyp7c?GE~v%GX+fq3;4d69Cp=0!*4Sqi<33
zTspQ;yDk9C2^b2baSqo?qbVS<Kak<`K~-Kk_k?Qpu*=lsoDD3sBgB;$`C8L(_@DGs
z0?nEOx|X#B<no}_4Vy-724!p!1f#!Eld8>fjFWJ+!L6OZ=)Ej^YBOCLUW$q}{@7l6
z%$qj%QLPmZy{J}!SO5D`tmXyxWd-MGGy0wH?1-C$tQ9$0vT@vFf|##s=tn~WJn|%l
z{_l6e!G<IM!tz!<0?qObUZ&kmm@n5#&)!@{CG5kWfHt0|-R`U(^gd$A_itf%kK@!C
z!$#w*D4WFaspFxAEO@f{_7CS$g{*-k+vFeF>yU^K&B3d1muIv27eRgreIFzwFozd_
z_$)~${j!Aq=**y8TL_(-jl4A|cFOd<9n|D%LkxPtcSindy1X1)(~JUqyj&E`8;2J}
z!;M2uy2`bjqx(S=MXET}0=9R#Bq#Up-_2_luV19QWx5*sJ$boKkPhUKi@5c{`qIMd
z<IR=%>wxypk3KU_w?j_L<7#6>WKK|8&r72prBDMn1qvlsSFJDFVyccz1&WBeUIF^M
zTB_JlZ*M}mN$F^Au|W+a`N8AFiE#h$YLqm3Ld5YU;IO{ernkKPh?%6-RbyJo<%aCD
zS0V9j<kWKAOFsfhFxz`~B|iK;cMtF0Apo%t?Iu8}l<gIgtk`!Ha)bEoPXJ<_sR?M6
z`IwCdF>%bp3~fu_qT%6CPZ8uyNKWECS4+Y+P5(TI;5Dd=D!KLS32n8(7|1101d~^|
zyQ7&;`~K(qKY}@@CNv<qRdqUnN7<qOKIp3~8@w+q2Owwbw-`d=3hH^g5pU}xRi+st
zHbcO=?5D_r>%^`cx%fTDC}%2?$$kc{BOR4GOwM?bey((5$Vcr7FyqqcOB;YY$uIT{
z>!OnM-2l2N-A+K@9vC>5O*|BV{K!^&yru=j9Dy4*rev$xW$l>#K23?sSzWLPlL|V2
z4tdfgU-5tMe)fgTqq5|2xxOV53!&uU@a9P|?~hcRv(CR5hVgAzMNp^1nSA2N?c}}N
zb{YlcfwA4>Z@{F=Z?1}x>XI-gf{dr#SGy_#1tVW5%;#>)Aw;n2n>+03uH&7a%YKy%
z>_c(?gaLB9S4&-CR-LAkt>yaSExwA=^xliv=|<>y%8m|S#uS5WTVBOq(f__Dg<H6B
zV|S+9et{y^y6YinHmAco9X}SW-j<xroOkdb&96IYl2BuS6JAX*AL%5N0Ij&l92)-X
z_`L9W4!S{{+u1Yv$gv8Q38b}MfY1uV($eqlmPBOKsg$){;*e&msOYlQY#42JVihUy
z2*1_L`q9p?gG+E|eW_Im>gtu?|ITI#3y#r)l9%al9g>eO{c2*VWffm`G(E#Ph91nn
zDr~pa&TQH(Db;Q{0RJRglKUYR$!O*d4)IEVJO!E&BZ}UU9<c{kgg_LMkCb&TNWN-V
zZVf;I6VoO@bos{(F46I-9(RDB8CSyO#Qaoo=iFiYOStEo`WQ+~_5<Q-&&k*Ght<BP
zfmwJ{z|@HA{0sQWjlfA7KQCYUQQ?4yY$ClY5_T1CR~Y-4u{MS(tsu>9N)KwAhoSW=
zBtRF|Lm(}OIr70S_3lb;#c!8BRQd9};{wD6X#UdfP|R8aj#N8JPMkK)Im54Gv7<|H
zgF)xl@Byfv4TC7`DPE49AnX2coloHq*CgWHn>O}Ref+Fjss=UbX&e#dEY5XC;eau2
z&zzdN!Pq|7_F=Vo5i#5>@1zdnJa?@}re?a-7hp|P{b|XuP0nGBzP|S>P{4ea-S@x4
z>4`=0WZN&&@3sbK;M;g&@FPrp$y;*=K>vK4xD?jW0UVdG>F+_(4Xa!<I2^n)lpdjJ
z9#wRRSXu(mt6V8RFnSt{2E}wPpG}KW8HSlX;QwMs8|UGn<KZ;}w{Sagv_g1NXZZrH
z02vVyjd3!?A*C0GR`<?6#~i4W9cD(rZpQr{*-LA;I(+!gCCnT+MO+jFVQTvP`H}NG
zw(<8B4O-2iIwGn&45=hiyFAMNBS0<ShzSTjon@-X*n~#s?*5m3BlQOBO9${m;D+ge
z$t|(nZisdPNR%76VrF|EJ(Vh8->A|T#5f)9Y7=*|vSrI%&4f9rB~P;d_kR+73WD+(
z<p_kJ<ZWcB3(wy=q?+v{Z%6e(a)S&mx@kbD=!ye}4b5^)OzaNdlesMH{gcGfDrL;a
zM1H1~jw?8p`b<&4g}xsDqw`WgzYfFgoblMB`G8fz@JkJQsn|0>gWa&NRVMn+H6n9G
z^vlk*>7^A10>=12C|`(uNgj}g&2wLB&3e>y_bVmL15T5tCz6tqY9oD<Op0^vX!Z^0
zhshE<Oy^rnNGtKi06!F!S+wp^Cw=ZNe5LI&V!XUUBH$&$hs?*nI<V2^)NEOw{=WNB
z`qQJ%eqB$f!y9gW0NVYNz;+QeL|EwfO2T#4@?Olvw7jr3X!|30T+X!JumSD4g4efh
z@H!%Xos6t?)(h3S?@ISDjXY1vT2Jo!ZGQ)|&jTjkjX?U}2eqWLoY9a8m8c$46Wudx
z59eYe#5L3}vE<Vi`|u#h5dY`Qn*W{q6c%Gyx0J#hf|%)F(){!I*U(@M|Gkl2LUZr{
zD6XR^RXMyy!=-kVxx>$4_jwPv<ttXROnnL7Bd~OdFcSB$iB2?=nUO-XkAORSqVp$9
zfxB}li(L87pmpKE;o%{F`n77#VX4*cv1_wOkR0k@?7pLmHaY%Bp9Amv&cj!CS%3@I
zRejB3{CTug*BRvW#XX0=A2RTJ2*~FPR9trxp?n!->>>ywzs8s%^fx_)^NqeC#yM*h
z51<?bbwi%gmX!W+3Fe&s9n(aRuCRyru}qd`<hupx18?-tr}$#$&3+Xs)9yUYJAT%y
zrHEic{8Fq)@(*#H@3|ESkZ4AcO_pMn4JQno5}r9u7C(Lr!w6&UFCkn=F`hfJW$b^C
z20QU5vm~ka;t8ne&yv6&((xmf1uJW+?aA&PrH|C(b(A~w-N@5;<{4YcwXjNvO$0xv
zu55l`jS<Ok00%S$^GrGXRKD*bYVOq6-D$hs>J$C;K7Pxp@!97mKF{8!;bY#nEwsVK
zE`}HD9<U1hO?{aIkCkzh_39;VM<T=ho*?Mg8i^aCI%we^O~0+noo^_uMehSLF?2s5
zxf08;p8|)iLOqXHoz>MHtp_~sjxwTcf54ZHV?5>q&kyJw_a*sY^!I$zPIm(C?md@>
zI%oYNV@?_-S6KVX$*uZt2;F}OqzA*xTN{<2Ra57gb^iV#j#yd`ipR$m&m1JUF2{u%
z8lF4vjOX`rS<vixEqZy}LecQ*zs-1J`og+U!?GlDV_={;l?OX0Fw%0Zj=k?e<2Jsz
z_96Ho#^~n)V5IZi?<UTkvD3(R8}`8-IXYEt$Z$feRav}mL)<^n^g5u*$lUY&E?BCA
z$>G43)5WhvyuNVOU;Q*_3^kr!jy142TnT3~uEt`nE)*?^OCO(Qew$uKZH+7yO4y9A
z7p>PTVM_{8*Vbju79y6QSQ5g{DmQW!PF|{qNQp4A=W`ZBajIAOy06te3NT0x3cAiA
zE?^bV*N>w6nEnm2%z=-IWG<(;!E7EE;}6*D1@eoNPdv<|j(@#;z!bx#l2mrpr|w_1
z2h3BQTi`=0{+jFrpA-z`_r<d(0x5OOz5NO3E+;mO-a+?F5#qbiG?Xf$vNE6YNW+x?
zEc4FEkF6kWyQ;G{9XnZCW@;R$!&=+?2uY-L_WP9WZ~OxSeMkUJH7zeR3{_jiHJ};h
zvK88t%6Fb(&8qlpbJa{0#d>W;_%)f)<+OT#6il}QbsI=}1B7{-sj~0OvyAA{MYyA0
zvpZ;TUAp0#FgCBy3@?5Ws(o}!yoD>iKUDVnApT&r+~0b%sMtuItgDh9x3lY8_choA
ze%ii0&Jvl`?0mafaLx?ALBKwlYZqHJPwdE3w9i-bnc~B^&A{o-gvioIG^vW3=*p$)
zOx43`wWH)ZfOj{r8Oe}jYni!O@kjqaRLlS~0>+#?2Z)CGPI?gs!!P9`M!6X{#&Ks1
zZ#y8FBU09-7^&B;?pt+27M3aCsrk10?I>hxJIUX*L`mQp1d|g;v4>YX(<qj#a6#lx
z>KQPPJBMl-FuY=v3av@qqCtR7o9`}AXlNR{B<lQChDOys@JQ6o5Ogy0Y7Zi4jrN-(
z(?ZxzmCb~1NhICNrSiOI&w@jMRo*v|4NO)GRV!l{cH4ZS`-hpubatn#I(5$DRo7a0
z#q7AmV94JfokkfDw8Z8(MqK4dgrKJyfBQTdKGV^i5bjZ_*{+WK)?&Ij<mi7QdGvWu
z%ZDDJLc6m#H>a}*w0fp9CMA8J6@QBvXH!9rF=?}NSThU({013;wC3;lVQqv$x}D-{
zaf?O1;2!JE4)gym!H0M55G)P+j(YaVytH$F(Qa!srA&k}-swQ4?(LBaDe0!)b#t*}
zX+G0rukozaN6aMr@Zf-N4klg-$X?vnHh}KvEMFi3JxJ-4-LifZAiFkq=1$$bJJQvg
znAddndED)>lVe+Hy@@mH|IS??kYHdcJhihSEZ~iIlN=TOeEpWIv8T=}%>8z^!bL3O
zgH%SAF#Ai3%sc|~QKs~lI*x^J^b)RF`EcO}!*Hvily^PT{;`bJq~gY0+V9#G3x{ss
znToI<C2|nau<jkWJeIs%%g6r6_#5!k*?_Rq0%6P#+1mK+@YzZYqc0J^W~onCk3Ze#
zC>^X$!1S@i-ek#dC6or^^G#{w$1vZDtanWuwBd!snnS@Yh+XIM;hab`)OkZ0vfk@E
zaXER)PwH5SDh41f__C9!mBh=5z8pVmId`pqp`wa1KV5ZgHp`4bPuy)#PHf&A2=4mL
z__3+~>~oe3{>%1h{uysQn5BzL^{Mf(t7(pPKjYdum26}$Eh?K{KLG{U>sMo^zdaYI
zdN-vCSDy$whkGe~+Xew-7JPqa)~%sG6A-H-Qfw;_YuUt46<COuchLrjVY75yv1Ip#
zyz1xD^b#ie-@bn(bf*<0(KBVd_wPj<^$^d25M=Q|VXTx5tXccIrR;U`kD@drEoxCS
z#QY`MyV>RIm(RDmvlC&bdiZn#CLMhQ(E-Gn2>q}`Tg#jMhx;&Iko$}USoq<np0zFh
z(U<-Dn%uk_FJ|?Y9fRc-Yg}z^){4G8GO(p7c>M3SvoQDPm$!@1axYft#6$Ub>KCOb
zrHyf3wf-quzA>wjTGL6TW9YQ_vSpaUX|7`lPQ1yCOy)rBJ76^`AnFa)uXou;Zuo9+
zgAhxf2J8jz1_Xg=V?>6#3|QGMw>6B8OF*dkafZtcvAlIf0<hp29^+qHOGXp8TpP(8
zo7;~G@|~X`Y>&skBe$)p<~BBxw>8=wvyLH94AMjOy99x~rV%!xEO+=Gx(YQ3{Y++Y
ze1c5oMC^aSdJi1-q(@#4_u5hcy`*!<4GhpaGH1V?u5{1Swdr>>G6Yv4(R(L>C1yZw
zRYi>JGB^9oE9&pzlV@jEP6SsB^_lSd*!F>bvl|k9lg!;y@s3!t5P}y5Et#-4AU1&(
z9={$}2&=^zlX=EuW==*vGJY$wPK6Hq1Z~^>naaV8YJY3|HVDCl91X`rDEkMeTjb@)
z-NlBvDG14h$Kf*Xe938mWt_ze&bGgIUm_&U%MFr#!`tutHv{aUz||~z&l#Osd)D8`
z@kwYMayiHMIcH|_^+8wU+{p4p+i<xo-nA46B<XQrxGklJzBz-xDR->C)^kf(DRZ(G
zj+_Q4`?Gf`lcx~D5w!&H@bfL-q<<FjC}(XQ7}YAet$_$+-pR}EycDg_>Q;Nu;g>>6
zfB9wqRSo;Vqkqo9eFOZL-^Z1z#Woy6-z3Lv=yk`D_}ltz0Io#hvwmK}yK(@2l*j6~
zcse~l8HG4*t#DxN9ew7YSs?d%h1g<oWgPWUEH?>}PU_^|q$TN|88a8sVN^o|o*T3@
zW@*0p_nohW0Q)m7|J*2h+iJtnxLu&}!MgjmK^Kp?IBBaRgKZVvT~v_8Kyu^c?dyvz
z*37(FyOKN~%xhRvG(RmOd-B7bu>!ty6efZaPef6RsTIcOm}5%CcjDO(I{OaAjaMtS
z?HZrJOnk}x3k_lrf00_$O+2-BNY%^2Fcd+2)VMB7y<Y=IP+GgAI=MH{fRM!G*%s&n
z-|LpVk9FS$0iu6?^$dyUh9>K=+3_2hzVN>3n5|n~IZGWJFpU7F9fr&41CB74%S4k!
z&7=st=n%f#IJ1|1ui#&zMI0X7#C-jGkIKOCU$#!MgXKjP5j<>>t+7KsVmD@gUbqLM
z>_gjf<RcjkePFZsia?i?3+eH+u(c`{XfDtqX3FPM{VqKDE<5fV2xI_H9}e-k{=9B*
zAlBfr`v5&=WMp(BTPrtv0l_zLT<K-MKuduKdMfy}=;Z$o*&k}~$tD(QVU%$ncB@kS
z53#E<JfP&n9n6#V9{`Z!IM6Y<xkHGsooiCCR>RI#S*R4(Hx~-pPVq=4t?+>NXKNwe
zK&juCJ^|HwJVixPzHDp0{D^$3Q8%b_*y}KR0OdRs&LKP5i<YV{w&Hu3{&&lP-$Qp^
zZLPjQ%5FejS;ns<J=_|8&PzSCNj#YL{A364$TCNi8oPBc?XHs7_6f4r;)e^xTolP+
zXa7wn@*7<?bMV~iz^VP%ZX*u{Kfq!S^<bctU0B`mG@qv_NSfI^z?E%Z;hE9l0&Xod
zmgXusljexzXPy@Ks$TMK8=HR<Yaq2s!8xcgcZ*TBUe_!{osIFnEBHvXTY~xi%2iMW
zXa8)^BH5^J^K?QTq?72<zXUU&gODPpV;IDhN9>o3^?!T}WW;<-iWMPY@bBj=L?MBM
zG-IAeyug<Any~=KrOyxDU1%{=+$uV%_N?s$3^Rm<?^gds)AzUVpD{HB88W`c;JtfT
z@AhH1k$c@2=rkW=f2e2yGw<u~5`iK{4$1a4L!n{sE}PFw7kcFC!5|RGYYBZW-%P%U
zN#_7V(dRyQ`Y|<{GuGxiS@P{8t~sA$HpRm)M!L>|U+r4Cdp!g5IGGv!%h;IY5q)|s
zg!pVuMB=-fJUbzp=&pq<TJ~s?v@k+q{SSSnE$5iwBQ<)dr~KS1i*Zobo$*l}pn)6R
zH%FPTUR#N}hI3DOroWHbv<`yr;8_RoH!H+4s6qR+Yb)(FWDAS7iJawaynvz@tZ11$
zC|&m7eb*2PbaNPgZS@|gq5P`({N^TY`Y(Geo{bJ%daEOtLqrd2kmJY_dSS`PAR21R
zJ&|rQn;aHj*I&0aiqxS4C3*0IS`Du{KPF3?Z$=efH;+G$2HgAr9My;Jt`T^@KefXJ
z*_&Vf(u`CgOawr^y}@kw_kWXEnSTI1w?O4i2>rHvDCl1AORrNBsjBrUB|PW5XO*#j
zdj|bdE3wba=icuP!9bI<0B%gINHe_hXu3`w9I${}!4qh_-FFXCJlM43AjjnnRfe$d
z_}%@_AhZC()19nO{KqIex#%}L|ADAS8vKEzuz3C%z#2b}J>mIxQnmLk(SmP}VD^Di
zYqEWZ$PSv;qm6@ugA!%G=2M9N{xyqGve9%oBQCL<e443n3iU-$K7KuaZB@v0)sZ>(
zkpg(w5vMypxD{ycr!BaN9zvqiyNaKh{A#OOBvt6tqe_zh7s8o;4QS>z&O{Lels#m3
zTnWtNvU#2#O@cXcr_qG}Q{^(8>b06<wV9(ngS5|rCwGh1$*mB6em{LQ4mUbgeA0lo
ze|0iWTa%5>`ZCMLvv6YCo_?E-0(^t1ih%Gxh(0QYtCvH$Zf~r;wGN5A8T#}x75*)G
z%V>j?URY);p{$XV26qLWe(1Y}ilBU4;-6S&`=R$(Fds}hi4l%>9B3GSrsdN-(3>8K
zf%u=5+J;4*H1OYKzpy%q<~aDQaITZUS8<zK*s~#!wZ{Wv7%Y9zOpW_@Q)?n*kYDyS
z;38b-8h5hSQ+<U6NP%m*fbhe^RKUyQ_@{1ehURLVsx^NlY%vRySm#)NPHqb?kLtRO
z?n2EPV%VjQBji%sx*tVTv>CYaxikC{OVpX~OoYNrs7PbNAb>KVuPVdMH&QKEwf*wH
zW1JYklP@dt=Vm<gX+~<m0EaINISnC0fWYOu2=dr1-uiiG>P6wTv*Pn@&{-Y!GZi<A
zAY{j-QwMWX>S!f5Ec{56kB#H<d8p)V#(&`V$KVizftd9DX!EKvv42y)n(%;s(D%F&
zP3Xc^D(aoI);jn2dwz=d&tg<uXD1YfHsRHo=)D9lmo07MmW?^SLkGF50iWyAY0V+N
zPisp{b2l95A>La{vFLGiyA$vbV*}vso57d&>X}5#aDUR$EfU7waR`o*80-wUgUO6=
z{P%n`xc^}8hjQ3qpZK+$--R?c##;R)r<bQEaTsD;4}V^?+AaBQ3{)!_=%sp9Q||Ml
z@jw~87w6}Xmy~|^#|w#TVhk4HNtEJI?kLMx*)^@%Y}e>SK}(5aBgIIat9BzNDjnKz
zNZ$jf-)Et}0LPj?@Q4v5w$86iR^2}4(64`+GE|lCfoSm3V%-Pf`e=F)#yY^p>Z9W0
zIwL!QW&<suvJcG$v%C8cgbdc8;iKscz_8Rr313KaVxt6xMX5H6=1I_@qG^9_i1r1F
z?rUMh%BdY_#YS(qYO&UeJNgZjR>PD3Wz%0}QQ;X6mNW^6008@OVY&f<hcmvKme$N6
zW6tXiYX)LG&!e-9THEQ0=a+54gddVX;h4!+SGI=RV08(Mrwwv&2f+J<4Fe(iH%9~E
z*8^X$62Q2Xk+OI1<IuOtmy?^C7d&x;j!$ESZwl}5E$)UBswT|3$;duvO#UCI|0+uo
z|3`>+{a=_Z=cJaT7?D9@dHJxDZyRU+vz$raS2mdA&;2?JMMkeK2amUvLt<l?DUmK;
z=acyS2uk(@V3I=y4s8bfxOR^FdORTX6$vBN)Qe0>QBjZl`-CxEubr%VQ~nqy)BBCz
zx}g;5@Ng~cEQM=kEb@OZ;whfn0H{wpq;7wat7GPU<IA|2tH8k7_-?vz=}tA1gZakT
zG9w?@S95@#*V8O0yIw-kSyn0zj^rbym$Gm5pMwJK8`L|zgXmRTHF}eqBkGsj=R~eY
zDYQ;gNr?FaZ)0FpynCC<*(&RMZM#uvWR-&eT+D!Zadw-}aH2D%!8vAZOhZEXU;c&T
zA#U6du%_aGM{Rs?17XJ^n=1W5zEq$S5yeS@JDB6x3YZ}!Wt;+CXhLORCAM8VaJgea
ztZQP%0>;i}<Ulgt>txdgOFIk)DwoM1$>ppY!@SDkx7{89{D;#~gKz!BLP^k650rOc
z0@hn|<C9UYr@B&sgUTUN+jUIg-(dP^lm|C%oXcrLaihG+(0w=NIXlaz&laMxJ>q(f
zE*%uHB>wB#f^&N_)%9jO{Uy@R(dvv}%_rOwnf5HUoWsi;tP(-dTj_GOU|zK2)-Xf9
z{ajrlHIL!_XTN<n6bDq4HS76*kZxelF-!i8pgBpfpajaul|Xu0P>D74+$9NR5zr&3
z{%!aJl={v|?tf*VS6NPY@7PMbI$X7{YH>If-?lRk`biur2sTG7UEY1#{qas4!Jl*6
zipI?>=w&3d0h%LWYx&PV!puqN2%encewO5~$+bUIU3j`4uby;7r<w`o%b~h4p`3L8
zIOvVxP+}}U57_y5wVR2n>FW~ry9e)51*s4ELS$w2$)fiwkfz5D<yxyDlkzX|%l5Qr
z!2c@?>9d+tADs1p*uSa9M0RYfHzw~s?qt)~p$T=fRh>BgZJnF0;TrqxxyvR42nkP)
zq40YxGCjEKY7B?XiH)rh+JZB+1i!kjHr9h3cbr;Gt@^4g@|UDfHPVrp;y=8RAf7*S
zU*SxCr(@t05%A)p-)K3L<r3XEllPK9A{rh~uVGXeNRaGcVdQz(rpJmP`p~d_pi|uJ
zztOq;L*9UOAS3@T7WmRu#D3@TJhL&7l{}80d^yBcUf@JbNlRwiI4`}s5*17$qcay=
z=e+}T?Se0h)&1d~sUK_W&eJ=7``E8}&w|GEpkH2>Y=hBgbbdG>lNyI_45*MxU1st3
zv+cSf)E)hiOhBzv2-i&-`bpV8o61*07E;pSBW94&??Dfv9XFz|SQ=)fi2}jyTPl;8
zC8z%_X9J)C(CEC06U#%9!sqmYJjpP^x#XHdw5X&x%Z6t%2K%8oSG%+VmWC&>*vr_$
z$=}cy;?rXo(M#`B>4egL$*G>?AHE82Ca18#RR^dvTp0Q69<SaX=1utuvL*njIZRV$
z%clh~rfFQ7(iD<XSbiu}2xwZc2&%Uw`oE2wm62I5vjZyouBKrs^b<F6`DYoDw_i$x
z*2`MK!gH?Jbt_JWfXS>|BYB9|vK~#}-etF*dq}dJ--PrdUUQv6qcsk6AjU==G+%OK
zK<}`&jtFs&Jx?qkDn)8sR7V!9(;s(yx6UJ9$$CF)tlzL3qqc@xpyQ~GWJ)1--+MRS
zzXiFaqsMsXKT_lc9!%KoqqDBX;WC_N^2AAAAyqO(&0YMW$qiN){o=tI=1carI~ed8
zymSVE94Cd{_oZB~Y+Ja*(o`TPKl!j}n0oKY50^UASf27QpuLHX7g|`jH4f;PvbOml
zvb7{XR@O1$HFtxa@dp#pNxH3lG*|pew&Fq4>-Oj!YDJv@iW5B`cP-4orMORtKLwdk
z5`fr|@_{u?qmvVtBC6P{3|8B^oFjS7@kT|<@DorKrNEt#1BB?%bLyYv0F0Bzb~-aa
zSS`<>G096tNU=nen3%*p6uG{6QN-}wo1yPz?u3Fa$};oDE}h+I#I$LsP-1@sNdA2V
zzvWDB9DFVmIDAE!AcnS9eF)}#J@|G-3;X`D_PoYXW>BAf0>vFRY!AI7ig~KYr(3Et
z7s$4X+#8thFjQ!w9f8bt6kUY`rC8k@fJP}}?xbtq^DS&>E=AOsmdv7=R}+wV=6UHa
zZ<6wj(c(!4|67~N;=}XSX;DKMWWTjochSau*{c5A4JYcYH6D=j41k8eJ)bZ-4UPQy
zK}^36J(rCw*R8~(`TBH80SSuS07oigm=`E?4#Ba@o&-AG#`aTfmayEMLpq&>w?{Ww
zhME5>Yeuyp&tN%e6&k12a1n^fcSAB~agG4*dURz^Oh{#<@-ol}i#+i<IWKOo70|uP
z<*Nj}tDG*y@*36E%r7h$o#Ex?Zg?bP(v|(A84=A(=mTGm@qxJmKe_OD=(y3?A0<QL
zY6+BgJ6-<xU!D&ry=58WJqrdwQ1ThH`Q;DO$&+v4&Ub@r7R^msRw)~Rt3$0b*$U=>
zb>9U?UKki2?3ep)d;Gvm7r=|xbzmv?1&4#7u-l?D=|KmMwVoS4JJiuXpB?VoFq(nt
z165p0jtiLn-915NK;bXHIK={Hi&3r1PP3k_*>rbi^f+d+JJr1p{ez!1%>c1o+ke3~
zcKmT&Pm-Uwbo31F1ltDRqT%DYP~DF7<6AfNt2f_>{gr~sfetGs_|&&=K6n;p691Sa
zEaZ_Kp_%>*8kO9Bm3Tqp-K`gwD*wC0ZU;IOmxTP%Nvs5Fdwrn12GsLry2NJ-1SgW0
zj3c^Fk1~*{fYHTy@&n(ac73*qNiNr>x0-T~Xdpu9!{gpej=p3^`fV_o4{QUAc&B6J
z79rs(k+!c3s41S*2;I0_i68EE>u{y!f=Ar`9uxV+)jYL67kx6{|B5ML#Bb5dds%QD
zKD-t?viyztuNh2DB(6PQEyi->rJ-k22IO92k;VycORLcGO9DfxyzQn=KNW8vmt>%Z
z0#no2Sv`y&7QJ-nIRdE3MmmevX^<*)o*a0YvMxFf<5B1Gg0}kmv<-w`RA;B>Mju;C
zXl^f@1*Xo2OUA2d9f$uf(V@a?;?NfO;)M`fhmg1yw!Hgg;dyD&=j6!U+g;Pm_Qd00
z{;JMlp=tNpX@6+8*7m9+u3(?M`82i;20lB73MYg6*pgewJ@_(SCQ8xmiW~Flf<5?l
z`Km9+d#J=`i#kSDC&|`)j(TmuW<URaK(p%1C)wP;HrjzSSAD%s?WY(}uh-E-OYckT
zZ|Xk61H|Qj4)e6sW;Bbp5UrYH{D#=#h2Gg|Yz@Rc3w7Olp-84kf6p&s7>90*^rl&f
z9FN0EX=M<Yj)yhOt~j&W;M1)w{(q0z7nxi5%!XQewr_;bO8LONkNe4{1m8v29vN6C
zjeT(i6f&{K04(DXUpupsfW?T^L1)WAFCC+&7||oo6qDNNZtcEBV2|3t4Y(?9VijPI
zmH=w;Z@g_zGrw8_%JbFxuELxM9q#s=6Web(JV53Wlg_M;J$?RPly<>;_y(2)71EV&
zv@fAgLM99t=4b^^>%ubt&7h@3NYiP#qaSw?<k3DP@sz}<`4mdGTyhR2O9XdDi}0WT
ze>e~4XgQlykL>B?we|Co2AlOK!SCo6#3@RV#r2?D+nN^I%QWb!0{fwXsDHDLtZMvK
zftbg+H{+mRrmHNaS>v5Nx%O3)1;&ieb{2-GLK|am<NDgWbH8m()Hpx98c%MmdBhlc
zcsu8iz&7WUZK~-MN(iJEVH(y31K2GvW=lnLsT;%HT-jt_L#5w79c~xj-%piPj8dMZ
zqecyJjTyPDhm+%5cNTa(`aYrjzt8MRU`5f&G#mJxLg9-!WkI9<c{aYW2#%gs(*A>L
z4R7*q&&_)v(*9%ew&Qg5T3FjGY^a>I2Otfa9=gH+Q(JTc@r1)(%-V6*1jRNr`3SWN
z&4;vF?@*Y@IwX8)7CDeCp_oCme_goqsCZt0a)!C-e`yyTdzNGQEoYC92<|t!9*M9Y
zFI;xv0v>8H&2S+azA>AYrwU#q90>7j7=xH!PZahr7}(;@fg5Utw#k@j4eTu=TK(Jw
zGiQd03wN6AyJ!JkYzffj#FPSa6q|g1T``o!OAossN(@~5b8;h?o^p`o!_T2vacG|X
z1FfO<;>&cre&7G342E~xa(|o+fbRBw8GZ)i&zYs~ABb>>CHpK5h&M_d-Y3d8ABMd^
zuL4TKMR>ARrr%%y6vr+WqXWi9QubAt*EOST0nXp<_lcwC((4fsvhoyQ1@;kY`Yx3>
zyB9tj9;WM37KwPy_?*~37)w~?r~UYUwX5#|zkWAuKoTC4q|$6Y^EoW%Bj;c4ruj_H
zRAt}jreH;AeYKU1YBd8W)+KQ7+!Cf_>*8SOoU&9q7nzw?T8*`N%dPm;)KL%n`?V1k
zn|Xz`T4jxuct&rm9_i6s53sJ*hATGSjcErzn%iZR{$G1v{Z!Q#z6*%7QYxL2(j_Se
zq@|@BBt+>>IW*GUDM%<KE#2K9-6`G8;hejVALBcB?w$J&Tz+sE#@TzVwby#%d7t-L
z9>mW@`0^FAA!!SDuL?Gmo}G5;WRO1i<I@1D&I{{8F(`^pm}>UCM>wNvVW-<e!-}+b
z5g;UcA5@;BbpT}2Kh5K9ysljEaOR(2b9|zV-l$OEs_UKl!|8%>Vi(+MyamnIqE6`_
z*5Y>S$vHm(U-ugvMB01J22Zlw+?tSfA>coOU|KGiV6~VjG*;T{FAhsdW7V2OVG93&
zYebNW@s)_uderD+@moWwJ2vw7JbkFcI>!aM0#&+jd@#HM`>z~CdJkdvmQ#8z`x`3x
za#mWfP~_ch@JF&6dghpp`6iFl3jI4S11OxN9Y0#ySPiU(b#O!u1CBgLjS8rw%FYhy
zO6aLPv(;1V=}A)MlP_C;s!Mo;zTVOkHyfqB_MiJKq@MMiOLcm<@Fs3y`FQCfi}h0Q
z0gbRrCpi>%TNV{&{UJ{*jf$&w+0wVbTVF~TAk~Vn%7!T38yLXY4<az9BD(_4$YH{k
zw|7kE+JnigPqbE!wt3LHi=zT&QiZC%V$$n=@f`$pGnwCqbIl)N-J<bC<Ky>ah`2Bb
z9b0}U;~R1TgttfGgM7Ray`aq`V`yfob=`IaKvc#y*M!;SLCsVJF>4AGZt=s;FF-6g
zgEw!RAp3JQ!;hO4EP)-VY?MEi!?V6^I+b<sHJ>i5GQO(pLn!@&rSwXVK~KV8oHRJN
z!p@BtTMBUYLNOlepE@<WecGe(dS{pg-fAN<Zou)5F%UlKc{*GVI6*dDpsr$CH8&5d
zw5isD4P3&Y(4VL2&E@*?H;=Si6KMt19k|kCG65;64WMjqOJLv}|Mo#7pYv17!2svK
z-gXmh8ZVG)!=`6Z=A2<JhuNi#1oORzJD(qg>nJs{crR$#`<^foE$mRESeq=%F&n0}
z#9hI1^Oo;T;%*${xHC%Wa~&X?+VwcfZ4<RCeeE&dU18Lka3r4T>43lhZO6#`e}D&0
zk6eQv8pM8KzlsF{QZP^+%hayFNVp_BL8|d@#J^MQKTGEv=iN6<83oZ6pMOXKgbc2W
zO{c6YMlgiUjuvPmZqFT#DYHMHcNdR4sJn(<upXIY9c8@4n(T;os3c)L{e9qlj>Sa8
z9T!eCzDXnDPQ4MZV3$`9W!x>{@dnW-1+;kG?q6=e>NXN;C;+ZI*)~|)Brh_BbKCvP
znSl=Om?g}h(f!=!t7<WeKHSE6KbTya*|t7^oNd1<xZ^%}SR`OJ-9i<q;{O16Z&?su
z<!@9O0i9b;<a1@8=C!h0s<f_CH*+kGcopxQ%=g&y=aFp3S<4O&yu_t+9wVJ@4&H(R
zeI~6^*G?u~`XA7QGft;&f0>@ByWtxXIv!5*L@48jJAhfcgmY?BS`5tpYl=mRrrYJC
z%I|s(8*KNu^Zv{8y^|=cenWL4Na6Se&y)x8^D1Ub?@RL^57MpLQ|aIL^RpSneKsFR
z%?_{}nBcuW<NBv5Qym49gN6cyciP_KWDT%nFCs3dYUk}t;8vGsfas`E<i@E@V*Ln4
zlZU)n$=6v;nR{-9dgr$ZXT^pOECy-r1<gyZ=rxn73H(V17?Hwz4SH6@Bf2*#p-uI{
zF2P;20`gVeu5$jR3;MSU03%@nxT!0zuxZ!qJ;C7cJD+UW#1f2K>n8S0=iK@gEDR{7
zjrC4Bp0KI`Y4H-ZvTUL<qGeyTEjDhQC1M<M&*pUNYENM)<SKB)=`~e2&GP@mV@gw|
z=)t)-Jtpyk@6Qua^(Cc<fDSmzTJiiDNur=_I{B2dH8>M*18%0OF4WFJ=)g^0@8~Ak
z=5oPw8<_xuKXZh$Yi$@v92XI)%`qmna*M@zG*tF>N{Kyo5~o=P<YeyM0?7z1_CNE<
zf_KEp6FsOfNv#uK`+jr(S^Fuc-nvWNCCPKkEBDZ#uJyGj1a)x3dYZ$q-5p0hETBnK
z3byMHeYdfOxT425l%W8Wspz?Ecn+_~J>SvSY_EIRzS;BEOS6xTPa!5D-#NtRukR0P
z{`-xK@o{FJrS=**VLbzz8bzdD64Y9y%4Xi!z9=sHqy<7`_P8dB`$;gACcJil3A(VO
zadZh@oxQ%f$=nSt0|6Fu?-`teceuNLl6LbhTuE*KBke#(5=~=)gOU$?saY}Gi9Lua
zcyYEf*u8-TMdM)z{f~M?=zu(FHI1`=s&qmSe`&WS_u-6dW`A{=6`E`O@Cg&QC34m}
z#YKcm!_%|D%FHibgg4pey_T@?D>X;y{(Pc4m9aM$UL+C4YxsL)YzXo1-0vYMkNJqr
z(hCY^8L;@(V2T<xaF2U<Jy|uoibj3YS9*(!$@|xMsiQjv*bIq{ea$-O)G>8bho%%%
z6M1S>hdy=w(4`R5j>(k<8HvBwu|$WK1)IOebMnyxfTlH?udauy6nVyAm0UGiu(&<o
z;*_>2Y^f#k``9yeJ}+n0Q63VZn8cPQbmIJ^$mmK$n4>MHX)DpUKEpNmpI<o&y+(4Q
zw8uETV7$CDKwhXpO^)HMXU}BxicKtXmNe`JXchIC2}|Zuv#GS)*#?(!wdH-7&$X6-
z2?2TnB`sntyfb!=W6TY{*m(+H2tw12d?YJ_6Tk263*b%Ao*Zw)Fp77}HAzNE|Kpl#
zQ;ifss%CyDIY*5Tq4p6iy(3#58DsXjkNIT&8crxeRz_C2v+02bA^8a>e~niD^h4}x
z4UEEd8Bx*ec5cZF^Tw$ppI4`%bsPv+yTz*SFcfx_?nx!_NUv_uyjTqiJf0OkziAb`
zC-&zI+ack6*O%md2KLicm;LJf1@-L_i49g>!OLYhsAL0=MqPD<&A&nE^|b4&4(H<E
ziS1C`!qWI1GU@^KpUWWoX8KIU{CU7^Iz4DQk^OPypD$9T<xv)-S?eR&6T~jl&X3sI
z`3JEC&?K57f}vk*dPaav-%msT_GoT|dw?3p6?VG>zRd^SCHpNOdmas3&V7c}W{p&|
z_u<IultTFdxt<01?adl%g;hGt`?g8ID-m13pnE7?2xKUZ?g&&~a<;qzX<|l&JnwKQ
zlsU^kZ)8uo^J!<8{;2`#pndcVFjEbJ#Pcb<(P_<7=C8qQ=W;&UB=$5Guh2sVl!_Xb
zbltaeF{78nSchlthVu?}MnRu`*m&DFFVnKQ^{(xIZBOb!E$tB?dW?IMOm+`p{_AZ2
zj|S}118&x~tev3B1nWB#udVlTjyUSRzp_ok4)h`&3WL~SKReEvK!_8kPLn8wX@zWT
z?6x#EnIXh$+o40p$&#XFkaua`<A<_TuZ3oXz~}8avp`#d;WKG@g4Oj~&Q<C?IK5)Z
zE_#-?TIRV{Jx~&9(x&9kdZ^jOvb=wHiCAgjKW)Ak?wWwT<hNwv$4>M+6<bFuTKdK+
z_nE3-ETd=X>&m+n@q{(mYJ!cB>{#U4SIfSbtgbSOHj&Kf=mdFR7S1Fa+2zkiMbC!e
zSEHd9)qpCCQ3WPB+j~D``wZ#wXo=C7nIjKi6f7`7-*l^tCnE-7Ks9$6i?DyauSFVn
z`kVe?h}h6W7O-8|%8*CgoEDK4G-`q%LN#6U;EKvy>jKE!L9ldJ9CdQ<2eGYhA`hNb
zoFyN<zV3M%3AuywHP@mk2z;?8K4dL7ze4=^=#2SnuZ7)FQzIDzs<cj|@H>_}$JJ~e
zdIV9W`bw92`s(#+Nz|#H=@tUP4;SPx2_VkJk${CTmGE5*L-&Tg>Xy7hncki?zKo1%
zlV}0z^i2<TZ(va1lj}yDeSgj}q<#hzYSD_1N?tpOyK+9rYN!a5j7o@Rkzd_=vf6h2
z4@5yiM4M8bOo@}f``T|18eHzjljqykF=bLc!YnsSh}cji)0E~Zc#)WWDDS!+EtLSL
z{js^8jY=f~c!HA~7z~S$iKTlHkPMZ&n6qhy39m<qk#~~VSND7DgHDr&xz(rHJ6P*{
z51l-~ZT+3m+8lUEj8Tx5Wh|jOKN-Y&hHo5Vi-k{Z#zqH)(nJ6G33)u6=$(%DWG6L}
zL^rrPgB^JX4LOpY?y(~D=vS8$rBX!Yk$uG@yZ*NKH<mOH10RyT^xb47Zd$@C41Egp
z&~&pfT&}8ZX?Gjv{W-273L*rvTcR)33%`?#LtnDL71P^StqdLMBBv34dlb5OCe(z4
z&rk`leU+RunA*<p+Xax5P$D(W;y<z~OXj-BdrRXDm*A$+gMZr_Z{!r(<;8a^ud!*t
z5+W99s^&Vac*~qh6a(4z!4YMjWRM=<F;x04jdQW%@VGFS0dz`>8*5M7=7Uib5{`j^
zQ4#mr>z^4Ly#b?tB6^w;c0@Ndy)-itU1;5a8lfQ5Sl|zt*EYGnOSTs5h(HqsU?}W9
z3OqPeaCFfs?W@i7bqPF8EQA((*U?=X=*=>ECM@_LLkAAIlb{)LSlyjy^!X`0uf?)s
z!PCjD#$SMXXI(j<ELCKQ0wEVLKpTsraR>dq=dAuaH$)!@6kjeZuaHmpFqtghF>#{t
zkG}ki1t1`Lyv>RoI`1(+Gi4jtZ=?KZY7;&4;@Q;$Zls(TkqD8|$B?XwdWS`9QX?AM
zs_j1JuZc8-gxtBZ2VS%#D%bm?dWk9jKJp;mM`}0o>%x%6C;qA*t!*A++iSD1N;M>m
zG@IwlJT(@;BWy+nV)jcz+@|O9?wjr8X6ttac)n{4Yuz}9(S-Ia%k+?Lo5G6U1T2~n
zI;3ZQyK&8B(zso=_Yuj(+Dvq7Q!S2Em@8vN?!h0GL+*uaYwXRqS$#&QdvhxxD0)16
zFA5R)Uhrp!$Wv9a|2@6i+6Hp|R1=j?dkzVt-@dHuaaJrX4AyM%u|sHmy3m3ArJLB(
zd^LNmA3ZYO-I<Loj3%!@PzAg&y)2{2m-aqh?L%F8soiTi(Lal*B!h5LrGL#7%*ECt
z?Qm+Z-5@@&#&e~c9eeUA9hsQ&7nl0nDGcR6l$8H=CC5)BT>E{})X9YOKCAqt;kJc|
ztj*uJ;u&&7(xCY@K&+Ec(~2lc6J(1^@8~{t0`RH(yp7UX<Vc<BM;;yv0mAR`6k+BL
zkL3a}ZL0E5XqDejeL}X|lN5R3P52i`G_*yk_J1B<`{hN?QdD^ChH|!)RtX*jk@Mxn
z>sIUrb1I)MG+@R-?uXXH_d6S3ZP-!_2j16d!~d@Y`$;?w%9pL$8>Rm@+zZDk(1E_n
zqpq~NRL32n>!%GVT3gX^j6()XXEDO}@&d8vkA9~0p%$F19B&c~$Mg(}$Bxw^dtc8y
z6kCxjR{QvAkp6{HW@sNROMnL=#vs(oSM$#tGys`V@a6Jh{1!a$Af{)>c;qR#P;5_#
zVPbgn)KCBPc2xAibt`M+SfKnuYkZ)%;_N?oiH`EMHf;%{pg}FMUuuD)p9WcZf6y84
zz@%|-O;+f3+Eh*+s9uRQB8QYL8wV>0kaoNe=)4vd0uyC%{7zFkAm;y2nlur$;P)Bq
z=@VWoB7Js;RTX%89}}-_9bEuGx+{<lo%>bR7KT@@b7bsdWB;PYMC4=Vi9;zof{#Ch
zrwve~o$a4S+bq7X%wZS)?d?>bjwC^xd}r3bCo9ZI9R!b%6A~^15;)%Dk;prgK&x?c
zO%3m9RB^^NAqhOuc)W*E+JU=4mP#UMXqV%E(-%p>?U-&T{S^IQ9|E^5C3A4G6!aC<
z$NX}wV(1B_^4?&G;ZPSkn>Eb{vJZfMltUF1&$6O!eOe?@lEW3_J`^@%c9n+Xy}98|
ziNDrCO8NVF<#DAYcA`#r<Cfo`9PgP{qFGm5oSz?4&9#I+!7~p7%z<a~k3|KSt?g}T
zU!xXyFSH5=WpdpI>bEvnIL5z=mI&xS=nU<r<ihz2Ao2v89iDnO42P&0;0#$uYVuj>
zEGnb`jiajP+XcA8cXAT_P$m*Q=Fx>CDlQ1#Ann&^RqFqNl=-%Zw4Z1^Isfdt@OWq4
z<&4e6#UWS$f4`N6h7x}M*DgpEtkd@Nxgzslc&^~MD9x@}IH`V_$`wpnbm4-q=0a}l
zq<4n?_zdYR2_(IHqIgp*;I)^ejPt$bWdWu&M{S&XL(7;zXU~5NCg^g|Q4meWXGs`U
zy4i`tE99T*g=bhVqCB|hVLEli?Gq;Rch`k^r`n#5&6t#;Zvj`+`mXt>MlzEpJfvI7
zHuirP19U3^g9JojL@CNAjKsWb+vaLBXFt!b+Gs$jnl2L+^}GF(CZ^D0LjKiNnUGWB
zn|s4uG&~<2?QD7+>AZWKM|Sw%WYaQW?n6HnJT1PnTd<J}M<|T7lRy5DKdMs7`=0wx
z*sO<4X`33?EXrC)o9^AN=MF%t8uvId?WD7gFq+<N&xlf1#|_SgDk@z#+zSsAqQW}v
z^R%Q#`ut~+w5ciaCS|vQRw?Yr&W*9_BUT}iAR^BuIxgSraAaa?_(pAR2Dc1iEC+jp
zAqrqk6T5@xK4Xv8p<3iZjS7_OueMOjtVkIhi#N<`e|OBZm{U=55~tMmO}B28b{uC<
zYYcI_|8z9s^eDAB;wR(Pu0x2dumxthvx-Op-t;4}9HOc?UUhEw23kC=fAdAl8uVU_
zw{}Zq|Fym&j}Ql{fUlX0;G($DZ_C8NHjX<#KHgrlMM#lCGeQa9|FLxP#67zE{jNCN
z7ik!Wc_$SUQgJ{yOm8v4MH2b1{*#C1=%kixPN53jd2z0*MK|8an+DLU9^$6cj3B@t
zB;a>=Za1;Jfw5FCMs{a>rQCeUb*BGm$^z+Hv|;`Tw>;}#uP{H7p4Ww**|MrS5KZvB
z<}^rrf+@Q1_hmU>*PPx51@37wIZZ=SpR~*z#GMv}So?YZ;1A@JXzFKzt{xVX%ct~t
zjQ&^01^zV;5s52v>N8;bcIT_3VMd*zXPd}8x*}FBUxkJrEz;U-!o+puK9qWqfrT*U
zYGiu^eP>%m!#e+R8uIsWv*3H%S}8#3PWUv96-E%h7TvwOHcv)G55q(X$Y=!vGTV?2
zZ_tXwLQU1#&W4nKn2(OXohKUCt^FE%7)2{5>ugf|fBb7op9tJP;ar!pc&(L+i|Nqv
zl%a$TUO|uufR;4SjTf%wMYmUa_!tdRd`)IJ6BsaeY<@DL(o@vJ=2*P@?s?ar{;@YW
zABS6l!xD^%#i4yddg|sDv_KTc++Cv8(nsVe(M|!M{3o>q0D?BN9`0oF{K6E7pt6Tw
zh&^gcLerthOQsoBPTfL1@_TH*T9Q2D`kue-m-|vn$p)5iv>=ULN>GwRw<Rh#%y{AP
z9mPQAC<yQ_z(zKhTt=lOf0Ccn&#)pHcs3=!HTTiT?BU0U%$zP!VU)EDj=u@gfKgM-
zD&m}3FG;RF(}xNeIPo!!y~2=>r+K{VkB$$(B~ro7K)46rCw1beYu<uC(_feT4(JHd
zUpzZ_GIc7A@*tVKz}e%Qk-gks<kh>1JG{pL5#^JmJ<+N*P4z1)`nngRC3sB%V)vKE
z;Xxfd>I4DQX1(m#jMFzYc2ug9!&~*PcsnTAsnAFl>_)Hz3KhNfUz<csN$D~|65IT7
zKcH5A;C|U2OL@=F?flFk=5ed#D8hK;t{49eQz`|Gz5y60?T03HKd#Un(;wdNOLM}Z
zS3Xj21mc?qsKgBa*kYdqbk}s!Yb+LUj)>$labCBB&sD>1vJi>TCw33K`itAKx|rY(
zU11T}PR8~~ioVQwg%*($Mj_T9^`@uFJM)O5)N086w~G*&Lo2{4QGs^7lpt(>jO>bq
ztBCIVux0!EBh3BZht1>i;QXmK$vruanq1zMv8Bz+!iSHtsGx)_H0e5E1Ex3k)`6M)
zp0fz8ZIWyMX+c!;^WMCdGu=;|$Ww`jSh;QiQ@&2@DHZtV)AT2@bx#ONqE76Uy&gW;
z2#D@@<n(r@l!BfV9WzL_xcsXklrx$*unYO`vB~%klYecZ9~J%b>{obqI9=w)b;U?A
zE0cu?4|)#kc3JbsjJa*GS9@l#H*`^bh^v0Em$no}&+4Tdw2n>nBrN`Yo*J4fN9yQ_
z1pu}0<nP`&>gY2F27`}UQB_(?eN**ml(6B;C`IO^>gxGC13J3-ED4KX@x9_kzhNw#
zmX}tN@lvBc!`Ybhchty$>;tfLk1TbbIjGe4E-|#Gv()7<PiYC&&?RDcQE4ZkauB0G
z(i?aB>7_JZNZIv4h~$YSy5d={;>A-z2=?AadDAnR?LW-i2ly@R-;B@!=Bma<6=eFL
zm^w{9VHfd-Zuj`n3I|{<WRY^jS}zl?MCY)dB6p#U&fFDbRooXa?-7Z{di;&9WNee3
zH?qIWEccH)T0nkowTMN8X`~wjnJAY?l6B-r=SiX~<SAqg{nQGVP%-xwS$Pb}$XL{M
zVyEtDSswOi+*CwGFSB@b$oOS~tl~QJ_Av6{zeq2I?uevEHU9fa&WXAnE6Az4=nt~3
zvTsFB(eITJ_5~itna9Bsm@(nofkN&4Z+uG+n7qt;B;@mu(kAW}?QY3xKmI%2++xcS
zb2g=N>S9o{gAy^X{!A;@V25FYZ_8At`9M0yj)G3=Fu*aV#KOO}5OM2GNXcnUuz5GH
z@`8%=UZ5Nra?SjsG!QtG^EruE7bTB+@b9fDpeSOp4Y|hj^^^=2T~v>4CeG+N4ii#b
z=P`k~2!PL+eUQ6YecFbX0ieuhs&m_oj5TYe|7xYWBrD$oM5y54(!9e28v0TP1v)lm
z0ltU}EOA3L_Rq!#NOsh+yjJdQv_)dj_u?HYGgwkroZ*S1c$Aa(9`Y?CCNjd)+Z3uO
zgXKjzax!^`4qPb+J@*ao%xCYkD?7IcxqCEE13-AZwpYq8NmF|6@0=q*Sb;l)EI3Zt
zOA8Bk88gFBe#fs-BI(GKVn4}U=Iy5PMt7r|S(`$MIw~BfrLAidWdT{Mtw3&rS>SbD
zgg%+jvwRCBTK@Be3@z)Y{Z47%#mcLpC6=W!KGvc_NaoV*BFxZx$0zk);FFFl?i_+8
zafZRq>^0h42N~>J<8G>eU%5&@>BbNS!0YV9=!Q7Sd~SW~1<R?~nM5M&l;5Xz{6#y9
zciUTH>M0TYqNYOPnfifN!o7f;Xw1mu-|Hk9(o!)j?6T7Lm?=%j>Lv6|o^a2bA5_y4
z&Oq}_Z3DobReP$&n*iV_>~hEo0^2lh`|?S&O7%rUGAQ?tG3y!5y@rRE*VbIAGW;8V
zzBugU5qIMm``3*K6b^d^E}MS75KW+VujHi!8`p`?NV)fTM)$`C@nN9=W-rVcDf4#z
z=c2bj!5De`jfsdz(v^l#_~D(CGl=1$*6|3gL443<=*#>sxc@;-S^nCDuFdcDQV2x;
zv`p|g>U!5AUJ(rF?r?}N1J|adgh%T8w<4<*T3^0u&__lNXyUXM2nE2v{T6^^yVk?u
zAEx%l(^lgHZ3#LNkCKDKDm-FOcvG<#LxVPiNhsX62C6CexBv&rK<AU#xMvD#k2Xbp
z^u2I!cCPNWV5?rs!$~$J?Su`=^>%394p3TSVKUoyQ~hnz*vpZ{B}0ljlna=x6Co3j
z23_HcX=78jp&!x3jIscSn(#SNqON@}#iwt5L1y@-jc>m71|<8IUSA=;+Dj;@sVRl5
zM0&25FVxpigdm#Xwf$LumhZHb<+hgx3qfA+?#LpWmj=!;EcC{RjDbJf0%MvJo|I=$
zd?&7H41Y|Kh|Jz|Hk2f6tl@gHh)r%ia<seCsd#sOs?lnFFKBQtH2LB4)`L^e)>hO+
zpl%;%@0JA-uWg3Cj=N*sEA8+?xVS%^Z=C7fNFo^H@TYJ$Dkfr*m}o@ZFP;}{iBEL-
zYVYvbWg;63HkObba35GAwpVMbz8PJ)I(@hJCq;;MT=RIoA{*#*fa~PFB^<D4!6Q`b
z+lF7QGsNb(f|=MS8hTL@dw;Qoa&4Xw$2IsX8^vJMV5gEISxVYmK&{D8ce%j9Mt3}P
zSOS*skL_muEtHW~R>*Sold;Z}!#821U5e#X8sCjIEuC*5zYl^JKfkS2o56-&e?cW+
z%ze=d725M~TGHELlV{#v(3<6EujQ_#@Ve(k;6aoe|5md3^*gQzLyB<YcpR>(cC8hK
zyAIaWT)UFJLqnsPq+r=eWjY0IxZO7FKoc=K_j7I!V%Mzm)ZBUQ!NYZB#Ts9CX_qbY
zu!saNr=DBoeppAeO=Zv2rm4p5!PvoKaBlFM#7Nb?#h?!_r*CCraa0zCx$f69J0u5^
zy~*JwX@}@O;=#W7P{!6JJc07=1?6E>q*O>){r<(=D+)*ps%*`IGf8%r{HpUSXoklD
z|E@65NJt@ajq5fp31}^R^U0ezYfpjWl=#5HV><6IRM5Zwtf^F*S?!dgu)iiMB&X5g
zSY<pL?;YynNwCM&T>1WdXDsEe4A2y-1nm{79~z|aJD{v;UlWq41x`mX_R<cJd<@!#
zDm8hAPi?nwL?|i~dnbPFj-kz9IhYK6)Z1-JcTPA$r3vYhzb>$sxVuID0%DDz)^R(^
zehBq#(t<8nS;7vU%o#jFuzWCK5Qio+YI)bK1Dk5%l!g^{H5<5pvy{((&F0V9Lb18E
zgd=pjM-S+_C>rQKZC*{~kSRJ~-(mm6?`~cpgw?#LD6X`=tHWC_JZSd&&|Y_*E1&v&
z+ndrj`a*|@^mF(?@k1ixWhx_L8KFW;LNLGy{_x>L?)mOiv-wQ9sf${#4;-j5PH&lc
zn|WvbLpd;JfVDmBv|@u_K>`mP#*+M<c=)!{afZ(g{PTGg6N$!2=&@E)`4NRMuHd!C
z1p%7)er(y2$=do|dg>h;crjJ*Wc50q*%caa8oH+FY{~c);%C{MA0Wt5@C3kceBuyH
zTDNA|5zYoucr5TIw+EyB5|tZf)diU;V!q=S_K$n0UcG%;_!!jVFDYEnk*>)_3;%<b
z*JC7}C@M2y8aw()tQ8EHoO%2hlWcJGNiyw0M+)PoHV{5>g@Pqd45j3+|09R~7@9ot
z`G<LNG&1f9Rj^>0*{g!1VgIg|_&VV<AEU8l=7V`uUIu{axEXo0EoemjJ*8I_ijwi3
zLAXAZjdZ9#MSrs{hUfBTFivSD6J7pQ_$09m4i$Wm7J2^g_cL>sO-TC^UPt{MWbEsl
zDoH%?o*<gPL&B8*zYb~Wg~Mdgn9V^mxD(zg8CE+2II9s1#735-S19f2Pb^Mv*y^^j
zRdRJ}9^yP9dYb*oSq1Vz3D25pCm^$ftcW9ib^zpl%h@0`d1S;2;|{LSF=I{JpcnGx
zd99LqEoF0pig*EDqACwOBsqY*st>Esd27ES1j8e5CI0ed5Ry~#cJD<w%C(;ekIBQ>
zfNwB<q=@cr&_$Wz>)IM&AX@0+K&%bFJke-?%!yFuh*@{D+&q)DH@R<UI&V44O@^{Y
z)07*qZS!F*n;KnlpBc1aKG3^#qcp2gei27<YtYv<eGFN<TDwK+UgCHP)(3>`KxoOV
z*jR8&2}D|;%dsxfAjU#ea#zDKTq)9HnuHy>!KL%qSG{|AJqSeinVySB#n-8cg-cKP
zzf&lAbS_i0>a37p;P(xQ8b<6m4V#zgIvutvxK70q2v*B>fUI1BwAU$wQ+SR-4Ipn;
zfDLx^k_v87_i5O761FrqG>SCKb}bBUXUld1ISt*Tzo%O(Nqmr^2@gUerk6J%lJ)Ly
z@$?NQnlurkaiCWZUXH1NV1zB__TXe0b+LW=iuf2^5BX%+htq4>R6Tg*s0^m&_*CSz
z0@}#8M=77;y+iz20rmrBFuHUXTiFfHgVGjh=pMMq&wNP){QYc9)<9uHKMS556;Rp&
zI#snbJ3ap9nt{eOXKJebnlXE7ZQu4#jKe+fBR1DoLn$OpGAGAcD|uBv1G=TQqzTV?
zSTZ{z;lkDw!_5P(u@sS(^UGK5$5ZF`Yd#NOhAK0Fhd?k$jRu;dJG?^ZjT?1-Rr+Dy
zq8YJ91xH-^M(^=i+DO>3xRSOmNSf}Qo)9RC4oWrLQJO78@nkj7Ue|5tmu_~Zpo=SX
zhA<}OV*VAO6nn|%3+|F>pjmG4n7+rqCwT2pI-)s0!+i(ziRG8uZCM5i=Pu3bv~0EH
zW$aO*<%WJWDx|(yTrkz;R_hhBE}!8?--?J<-6R&x;xvV?D`4=Q0Svqsr;j2!SXsZ$
z3sLJ%Ejfuq_bXQ%Jp2+u#3FowO6EAC&F552_wX72hLGBU6{CFD@M?Xl)+r_dqQ33M
zss>YGO6K~8b>U`T&&JQ4mXl%@2~B~F_0kZrl4jLiiwVdy%oS<}DJ#>E19fc<(ML3+
zlSJoRk%EDChUI>fmk-0>P?KX)OA`O+`rQ>=#Zy5OV9q$T$yIt{E#IUPpQ!DB?<K_6
z=o)@$s(Y$~79<gqG$+OWR?bkX+><uRkP^JB`sUSJd&!;MJ>XN%P4}*gz$a&XujG(&
zbNz}$3b&hv$QAdqn7lWw-HOt166@?N2wJ3FwPOKLNj7z;3Q^ziSHb}=AW$}OUWS(p
zpJn%N(Y7bgIVDJv=Q(*LqsEPW7tY9&-T#RHwwZaUD7cI>A#sz@IiYl46xd+)*2j?k
zaK-29xyB0bu?NN+Nx@@w8EZCn8`vf%61oX~i+uo0m&Jp`83or0vyo!u5Aa~GLGLG|
zN5lGH5#fK!_srF}L5|-q;DNgkGpJqp5%HP?wCS)6_Kt#RkCcRY;6_C)_9w9G_L7E<
zyHCySAe}{xUT)-fp}!*W${>V<JyLc+mVduza5$?TkqK-5c`E2*OU-vP6x!zZ#P~R0
zs1s(jnkpqSOdUx;9AvzhT;q@`d5db%KB1~u5U?XQhI6+zuL-&zM}W39ac@6TC|X1`
z+U*7IeLy;_H3<AqMMvZoC_UF$ugU;=bBy-Ruhz1-JZoEJ-?F~`q%lZ7K8=^bN0`@#
z+^?~b1{uXJJb$_b8e_j`7S$vY%K%Si@<G1~w;oRog-6GN;Juk_UFm0w7qX6<((u9z
zKN7(Io`?preK69ZHHy|F`ME(h4qE-`#@8tr5!}o-spUpyF;X#^T{YznZru$rm9>1I
zEPL^dIKlyKiWt;>?0p$%$<jBN$3s5eJyK3Ca71vuy5?EU>5yCoAQ|C>^;(}4*7X_U
z6Lv>tvhQQ=@{69q?uopPI1jYp#M&eQ$OCKKR}6zkL&}7ynaNM4l5rNl+6q#U`^PgP
z=-bY;e@>yx@qha`;Js;5W->FVTD}2O1Ukkx4IAM-^OV!vx=vu25rT0N&~JZ_nYBve
z0C5d2C6mJVp#83CWMDwVx$#aV^X3O5aKTAyk{cJrjUe19k4hqhcr8f*8hgA$0CzPM
zOI4YOH@9VgFX~f-5sK!Xv*0{Rou})ab%G*va_NNb)}Z(_^k-(c)a2WNg@WGWptZ>J
zPYwKMSAc@%d^en+qC%<SL3#SiIEZkd^@Ks2A^pt_SAa75Lxa}A0qyH#QBo_(+S1LT
z&lOh*!UL3bh};-)o=w!2_#l7@H1X~2m=>w*@W~5}lf<Te=-UuE`;u+`_ER>li0Lb%
zwO&dyy7bP9Gg5HZ{M9Kydp?_kCksYtWo&`0?K$v17XKDFqmt18a65_ufQo2ohJe+3
zs{s7~wQR~HoYNX+t6GGRF(K8X0KV0q<8;@m47$lz{IoPO`KJEgISiO|<PxyGd~kuC
z*?HPAB*@k77Q4+R1VbVq8s~$WutkX(1m8W|;8E`~Xu!?)oPC%70h9CO3hvDCcHk|L
zS<A@mP}_d|sJU<;Q(U+NE(Qg+`T=$)1fKKC?G+lby?{=y<sw49OiR6FK>ZfNO2O;%
zEQVb?hVpRWMlx|WdpujVFY37_=kYI-S&QF!S2zBYUna(ZVV6YjeW*eP*zk$F+VUz3
zV3=)~!(n<a7IN>O62z&O=xS-#Ic^7<_9y5C-#zjCydyln0ln8Ok{ZDY6hV*Cdz1!?
zA0jE;1jO$z>`s*)9_;V$r|{XmxlCZusiT)mqJ&Gs1A1@^z=qs=;xJXB_dbN|o=Kv(
zD<BNtiQ{s)*yvFoEk!Uuj@~`Fu(VWqEt6#VCZxH>g4C{Gn4O&xo97F~UJB~GwmM#k
zHF~$19gALKZfwIkUn3**$rNoHm28r0$h!^q3aJF4R@PKojAI<VwO4%AtQ3lCAv!x2
zb~Ndc1ShyIJ3q%|zhCQs)Op+Pf1KsP*J#q-K(O5-W+k6~DO6U7E%%vChTkltc|BRt
z;&|Ma(V$PJ-H^A&6}28TgaI<J?lKsYSuAfIC~}MUWDf7Zt&wyDwOZSC2+FUm1-dS#
zb9|O#0^u75ztA!8s$yu%jpLMyq?b2@n!VC|4~&G&^r7aWQ(PpIV~tur{`HxT>jSRO
ziMEV7a{Ww<pzy@VSi7fI4EPsO3VSh`OPtQ96(UI~Ly0zSNtr2aJrNqKx5h&qGJV7T
zI?ylg>}VB-DFy{8>D?K+yGJ=+*LTP+ydeOsvoX^)#Tl%if*)y20yhIDvUHrk<9Qe%
zmLx;k%eMZ2ZH1+q-}_i<kUL`<chY9VqoyO?{e1@B!MLV-e?Nr9nh&L)Adft9ShmfI
z%^2%>J=XNZo@q}C6j1LE{j!4erL<HL%Pw()&lHgDiAjm2S5#N=rBXz>*qh<<Mm0u_
z>PDE~m?+d>vKf}1?fl;MpGp7A2mSxQ{QnjBKd*qu10)y-TlDIapMYfo0`Mavp&(xJ
I($M#R0n&7#*8l(j

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_static/basic.css b/docs/0.10.5/html/_static/basic.css
new file mode 100644
index 000000000..912859b55
--- /dev/null
+++ b/docs/0.10.5/html/_static/basic.css
@@ -0,0 +1,904 @@
+/*
+ * basic.css
+ * ~~~~~~~~~
+ *
+ * Sphinx stylesheet -- basic theme.
+ *
+ * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+/* -- main layout ----------------------------------------------------------- */
+
+div.clearer {
+    clear: both;
+}
+
+div.section::after {
+    display: block;
+    content: '';
+    clear: left;
+}
+
+/* -- relbar ---------------------------------------------------------------- */
+
+div.related {
+    width: 100%;
+    font-size: 90%;
+}
+
+div.related h3 {
+    display: none;
+}
+
+div.related ul {
+    margin: 0;
+    padding: 0 0 0 10px;
+    list-style: none;
+}
+
+div.related li {
+    display: inline;
+}
+
+div.related li.right {
+    float: right;
+    margin-right: 5px;
+}
+
+/* -- sidebar --------------------------------------------------------------- */
+
+div.sphinxsidebarwrapper {
+    padding: 10px 5px 0 10px;
+}
+
+div.sphinxsidebar {
+    float: left;
+    width: 230px;
+    margin-left: -100%;
+    font-size: 90%;
+    word-wrap: break-word;
+    overflow-wrap : break-word;
+}
+
+div.sphinxsidebar ul {
+    list-style: none;
+}
+
+div.sphinxsidebar ul ul,
+div.sphinxsidebar ul.want-points {
+    margin-left: 20px;
+    list-style: square;
+}
+
+div.sphinxsidebar ul ul {
+    margin-top: 0;
+    margin-bottom: 0;
+}
+
+div.sphinxsidebar form {
+    margin-top: 10px;
+}
+
+div.sphinxsidebar input {
+    border: 1px solid #98dbcc;
+    font-family: sans-serif;
+    font-size: 1em;
+}
+
+div.sphinxsidebar #searchbox form.search {
+    overflow: hidden;
+}
+
+div.sphinxsidebar #searchbox input[type="text"] {
+    float: left;
+    width: 80%;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+div.sphinxsidebar #searchbox input[type="submit"] {
+    float: left;
+    width: 20%;
+    border-left: none;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+
+img {
+    border: 0;
+    max-width: 100%;
+}
+
+/* -- search page ----------------------------------------------------------- */
+
+ul.search {
+    margin: 10px 0 0 20px;
+    padding: 0;
+}
+
+ul.search li {
+    padding: 5px 0 5px 20px;
+    background-image: url(file.png);
+    background-repeat: no-repeat;
+    background-position: 0 7px;
+}
+
+ul.search li a {
+    font-weight: bold;
+}
+
+ul.search li p.context {
+    color: #888;
+    margin: 2px 0 0 30px;
+    text-align: left;
+}
+
+ul.keywordmatches li.goodmatch a {
+    font-weight: bold;
+}
+
+/* -- index page ------------------------------------------------------------ */
+
+table.contentstable {
+    width: 90%;
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.contentstable p.biglink {
+    line-height: 150%;
+}
+
+a.biglink {
+    font-size: 1.3em;
+}
+
+span.linkdescr {
+    font-style: italic;
+    padding-top: 5px;
+    font-size: 90%;
+}
+
+/* -- general index --------------------------------------------------------- */
+
+table.indextable {
+    width: 100%;
+}
+
+table.indextable td {
+    text-align: left;
+    vertical-align: top;
+}
+
+table.indextable ul {
+    margin-top: 0;
+    margin-bottom: 0;
+    list-style-type: none;
+}
+
+table.indextable > tbody > tr > td > ul {
+    padding-left: 0em;
+}
+
+table.indextable tr.pcap {
+    height: 10px;
+}
+
+table.indextable tr.cap {
+    margin-top: 10px;
+    background-color: #f2f2f2;
+}
+
+img.toggler {
+    margin-right: 3px;
+    margin-top: 3px;
+    cursor: pointer;
+}
+
+div.modindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+div.genindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+/* -- domain module index --------------------------------------------------- */
+
+table.modindextable td {
+    padding: 2px;
+    border-collapse: collapse;
+}
+
+/* -- general body styles --------------------------------------------------- */
+
+div.body {
+    min-width: 450px;
+    max-width: 800px;
+}
+
+div.body p, div.body dd, div.body li, div.body blockquote {
+    -moz-hyphens: auto;
+    -ms-hyphens: auto;
+    -webkit-hyphens: auto;
+    hyphens: auto;
+}
+
+a.headerlink {
+    visibility: hidden;
+}
+
+a.brackets:before,
+span.brackets > a:before{
+    content: "[";
+}
+
+a.brackets:after,
+span.brackets > a:after {
+    content: "]";
+}
+
+h1:hover > a.headerlink,
+h2:hover > a.headerlink,
+h3:hover > a.headerlink,
+h4:hover > a.headerlink,
+h5:hover > a.headerlink,
+h6:hover > a.headerlink,
+dt:hover > a.headerlink,
+caption:hover > a.headerlink,
+p.caption:hover > a.headerlink,
+div.code-block-caption:hover > a.headerlink {
+    visibility: visible;
+}
+
+div.body p.caption {
+    text-align: inherit;
+}
+
+div.body td {
+    text-align: left;
+}
+
+.first {
+    margin-top: 0 !important;
+}
+
+p.rubric {
+    margin-top: 30px;
+    font-weight: bold;
+}
+
+img.align-left, figure.align-left, .figure.align-left, object.align-left {
+    clear: left;
+    float: left;
+    margin-right: 1em;
+}
+
+img.align-right, figure.align-right, .figure.align-right, object.align-right {
+    clear: right;
+    float: right;
+    margin-left: 1em;
+}
+
+img.align-center, figure.align-center, .figure.align-center, object.align-center {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+img.align-default, figure.align-default, .figure.align-default {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+.align-left {
+    text-align: left;
+}
+
+.align-center {
+    text-align: center;
+}
+
+.align-default {
+    text-align: center;
+}
+
+.align-right {
+    text-align: right;
+}
+
+/* -- sidebars -------------------------------------------------------------- */
+
+div.sidebar,
+aside.sidebar {
+    margin: 0 0 0.5em 1em;
+    border: 1px solid #ddb;
+    padding: 7px;
+    background-color: #ffe;
+    width: 40%;
+    float: right;
+    clear: right;
+    overflow-x: auto;
+}
+
+p.sidebar-title {
+    font-weight: bold;
+}
+
+div.admonition, div.topic, blockquote {
+    clear: left;
+}
+
+/* -- topics ---------------------------------------------------------------- */
+
+div.topic {
+    border: 1px solid #ccc;
+    padding: 7px;
+    margin: 10px 0 10px 0;
+}
+
+p.topic-title {
+    font-size: 1.1em;
+    font-weight: bold;
+    margin-top: 10px;
+}
+
+/* -- admonitions ----------------------------------------------------------- */
+
+div.admonition {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    padding: 7px;
+}
+
+div.admonition dt {
+    font-weight: bold;
+}
+
+p.admonition-title {
+    margin: 0px 10px 5px 0px;
+    font-weight: bold;
+}
+
+div.body p.centered {
+    text-align: center;
+    margin-top: 25px;
+}
+
+/* -- content of sidebars/topics/admonitions -------------------------------- */
+
+div.sidebar > :last-child,
+aside.sidebar > :last-child,
+div.topic > :last-child,
+div.admonition > :last-child {
+    margin-bottom: 0;
+}
+
+div.sidebar::after,
+aside.sidebar::after,
+div.topic::after,
+div.admonition::after,
+blockquote::after {
+    display: block;
+    content: '';
+    clear: both;
+}
+
+/* -- tables ---------------------------------------------------------------- */
+
+table.docutils {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    border: 0;
+    border-collapse: collapse;
+}
+
+table.align-center {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.align-default {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table caption span.caption-number {
+    font-style: italic;
+}
+
+table caption span.caption-text {
+}
+
+table.docutils td, table.docutils th {
+    padding: 1px 8px 1px 5px;
+    border-top: 0;
+    border-left: 0;
+    border-right: 0;
+    border-bottom: 1px solid #aaa;
+}
+
+table.footnote td, table.footnote th {
+    border: 0 !important;
+}
+
+th {
+    text-align: left;
+    padding-right: 5px;
+}
+
+table.citation {
+    border-left: solid 1px gray;
+    margin-left: 1px;
+}
+
+table.citation td {
+    border-bottom: none;
+}
+
+th > :first-child,
+td > :first-child {
+    margin-top: 0px;
+}
+
+th > :last-child,
+td > :last-child {
+    margin-bottom: 0px;
+}
+
+/* -- figures --------------------------------------------------------------- */
+
+div.figure, figure {
+    margin: 0.5em;
+    padding: 0.5em;
+}
+
+div.figure p.caption, figcaption {
+    padding: 0.3em;
+}
+
+div.figure p.caption span.caption-number,
+figcaption span.caption-number {
+    font-style: italic;
+}
+
+div.figure p.caption span.caption-text,
+figcaption span.caption-text {
+}
+
+/* -- field list styles ----------------------------------------------------- */
+
+table.field-list td, table.field-list th {
+    border: 0 !important;
+}
+
+.field-list ul {
+    margin: 0;
+    padding-left: 1em;
+}
+
+.field-list p {
+    margin: 0;
+}
+
+.field-name {
+    -moz-hyphens: manual;
+    -ms-hyphens: manual;
+    -webkit-hyphens: manual;
+    hyphens: manual;
+}
+
+/* -- hlist styles ---------------------------------------------------------- */
+
+table.hlist {
+    margin: 1em 0;
+}
+
+table.hlist td {
+    vertical-align: top;
+}
+
+/* -- object description styles --------------------------------------------- */
+
+.sig {
+	font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
+}
+
+.sig-name, code.descname {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+.sig-name {
+	font-size: 1.1em;
+}
+
+code.descname {
+    font-size: 1.2em;
+}
+
+.sig-prename, code.descclassname {
+    background-color: transparent;
+}
+
+.optional {
+    font-size: 1.3em;
+}
+
+.sig-paren {
+    font-size: larger;
+}
+
+.sig-param.n {
+	font-style: italic;
+}
+
+/* C++ specific styling */
+
+.sig-inline.c-texpr,
+.sig-inline.cpp-texpr {
+	font-family: unset;
+}
+
+.sig.c   .k, .sig.c   .kt,
+.sig.cpp .k, .sig.cpp .kt {
+	color: #0033B3;
+}
+
+.sig.c   .m,
+.sig.cpp .m {
+	color: #1750EB;
+}
+
+.sig.c   .s, .sig.c   .sc,
+.sig.cpp .s, .sig.cpp .sc {
+	color: #067D17;
+}
+
+
+/* -- other body styles ----------------------------------------------------- */
+
+ol.arabic {
+    list-style: decimal;
+}
+
+ol.loweralpha {
+    list-style: lower-alpha;
+}
+
+ol.upperalpha {
+    list-style: upper-alpha;
+}
+
+ol.lowerroman {
+    list-style: lower-roman;
+}
+
+ol.upperroman {
+    list-style: upper-roman;
+}
+
+:not(li) > ol > li:first-child > :first-child,
+:not(li) > ul > li:first-child > :first-child {
+    margin-top: 0px;
+}
+
+:not(li) > ol > li:last-child > :last-child,
+:not(li) > ul > li:last-child > :last-child {
+    margin-bottom: 0px;
+}
+
+ol.simple ol p,
+ol.simple ul p,
+ul.simple ol p,
+ul.simple ul p {
+    margin-top: 0;
+}
+
+ol.simple > li:not(:first-child) > p,
+ul.simple > li:not(:first-child) > p {
+    margin-top: 0;
+}
+
+ol.simple p,
+ul.simple p {
+    margin-bottom: 0;
+}
+
+dl.footnote > dt,
+dl.citation > dt {
+    float: left;
+    margin-right: 0.5em;
+}
+
+dl.footnote > dd,
+dl.citation > dd {
+    margin-bottom: 0em;
+}
+
+dl.footnote > dd:after,
+dl.citation > dd:after {
+    content: "";
+    clear: both;
+}
+
+dl.field-list {
+    display: grid;
+    grid-template-columns: fit-content(30%) auto;
+}
+
+dl.field-list > dt {
+    font-weight: bold;
+    word-break: break-word;
+    padding-left: 0.5em;
+    padding-right: 5px;
+}
+
+dl.field-list > dt:after {
+    content: ":";
+}
+
+dl.field-list > dd {
+    padding-left: 0.5em;
+    margin-top: 0em;
+    margin-left: 0em;
+    margin-bottom: 0em;
+}
+
+dl {
+    margin-bottom: 15px;
+}
+
+dd > :first-child {
+    margin-top: 0px;
+}
+
+dd ul, dd table {
+    margin-bottom: 10px;
+}
+
+dd {
+    margin-top: 3px;
+    margin-bottom: 10px;
+    margin-left: 30px;
+}
+
+dl > dd:last-child,
+dl > dd:last-child > :last-child {
+    margin-bottom: 0;
+}
+
+dt:target, span.highlighted {
+    background-color: #fbe54e;
+}
+
+rect.highlighted {
+    fill: #fbe54e;
+}
+
+dl.glossary dt {
+    font-weight: bold;
+    font-size: 1.1em;
+}
+
+.versionmodified {
+    font-style: italic;
+}
+
+.system-message {
+    background-color: #fda;
+    padding: 5px;
+    border: 3px solid red;
+}
+
+.footnote:target  {
+    background-color: #ffa;
+}
+
+.line-block {
+    display: block;
+    margin-top: 1em;
+    margin-bottom: 1em;
+}
+
+.line-block .line-block {
+    margin-top: 0;
+    margin-bottom: 0;
+    margin-left: 1.5em;
+}
+
+.guilabel, .menuselection {
+    font-family: sans-serif;
+}
+
+.accelerator {
+    text-decoration: underline;
+}
+
+.classifier {
+    font-style: oblique;
+}
+
+.classifier:before {
+    font-style: normal;
+    margin: 0.5em;
+    content: ":";
+}
+
+abbr, acronym {
+    border-bottom: dotted 1px;
+    cursor: help;
+}
+
+/* -- code displays --------------------------------------------------------- */
+
+pre {
+    overflow: auto;
+    overflow-y: hidden;  /* fixes display issues on Chrome browsers */
+}
+
+pre, div[class*="highlight-"] {
+    clear: both;
+}
+
+span.pre {
+    -moz-hyphens: none;
+    -ms-hyphens: none;
+    -webkit-hyphens: none;
+    hyphens: none;
+}
+
+div[class*="highlight-"] {
+    margin: 1em 0;
+}
+
+td.linenos pre {
+    border: 0;
+    background-color: transparent;
+    color: #aaa;
+}
+
+table.highlighttable {
+    display: block;
+}
+
+table.highlighttable tbody {
+    display: block;
+}
+
+table.highlighttable tr {
+    display: flex;
+}
+
+table.highlighttable td {
+    margin: 0;
+    padding: 0;
+}
+
+table.highlighttable td.linenos {
+    padding-right: 0.5em;
+}
+
+table.highlighttable td.code {
+    flex: 1;
+    overflow: hidden;
+}
+
+.highlight .hll {
+    display: block;
+}
+
+div.highlight pre,
+table.highlighttable pre {
+    margin: 0;
+}
+
+div.code-block-caption + div {
+    margin-top: 0;
+}
+
+div.code-block-caption {
+    margin-top: 1em;
+    padding: 2px 5px;
+    font-size: small;
+}
+
+div.code-block-caption code {
+    background-color: transparent;
+}
+
+table.highlighttable td.linenos,
+span.linenos,
+div.highlight span.gp {  /* gp: Generic.Prompt */
+  user-select: none;
+  -webkit-user-select: text; /* Safari fallback only */
+  -webkit-user-select: none; /* Chrome/Safari */
+  -moz-user-select: none; /* Firefox */
+  -ms-user-select: none; /* IE10+ */
+}
+
+div.code-block-caption span.caption-number {
+    padding: 0.1em 0.3em;
+    font-style: italic;
+}
+
+div.code-block-caption span.caption-text {
+}
+
+div.literal-block-wrapper {
+    margin: 1em 0;
+}
+
+code.xref, a code {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+h1 code, h2 code, h3 code, h4 code, h5 code, h6 code {
+    background-color: transparent;
+}
+
+.viewcode-link {
+    float: right;
+}
+
+.viewcode-back {
+    float: right;
+    font-family: sans-serif;
+}
+
+div.viewcode-block:target {
+    margin: -1px -10px;
+    padding: 0 10px;
+}
+
+/* -- math display ---------------------------------------------------------- */
+
+img.math {
+    vertical-align: middle;
+}
+
+div.body div.math p {
+    text-align: center;
+}
+
+span.eqno {
+    float: right;
+}
+
+span.eqno a.headerlink {
+    position: absolute;
+    z-index: 1;
+}
+
+div.math:hover a.headerlink {
+    visibility: visible;
+}
+
+/* -- printout stylesheet --------------------------------------------------- */
+
+@media print {
+    div.document,
+    div.documentwrapper,
+    div.bodywrapper {
+        margin: 0 !important;
+        width: 100%;
+    }
+
+    div.sphinxsidebar,
+    div.related,
+    div.footer,
+    #top-link {
+        display: none;
+    }
+}
\ No newline at end of file
diff --git a/docs/0.10.5/html/_static/custom.css b/docs/0.10.5/html/_static/custom.css
new file mode 100644
index 000000000..8a7c7cb54
--- /dev/null
+++ b/docs/0.10.5/html/_static/custom.css
@@ -0,0 +1,50 @@
+/*
+    the ipython3 code blocks coming from the notebooks
+    were not getting the dark theme styles applied, so
+    manually overriding them
+*/
+@media (prefers-color-scheme: dark) {
+    .highlight-ipython3 {
+        border: none !important;
+        border-radius: 2px !important;
+        background: #202020 !important;
+        color: #d0d0d0 !important;
+    }
+}
+
+@media (prefers-color-scheme: dark) {
+    tr:nth-child(odd) {
+	background-color: #202020 !important;
+    }
+}
+
+@media (prefers-color-scheme: dark) {
+    .dataframe {
+	color: white !important;
+    }
+}
+
+.hidden {
+    display: none;
+}
+
+.version {
+    text-align: right;
+    font-size: 24px;
+    margin-top: -47px;
+    margin-right: 3px;
+}
+
+.sidebar-brand {
+    margin-bottom: -10px;
+    margin-top: 10px;
+}
+
+/* unknown warning was showing, manually hiding */
+#Visualizing-Logged-Dataframes .admonition.warning {
+    display: none;
+}
+
+div.output_area.stderr {
+    display: none;
+}
diff --git a/docs/0.10.5/html/_static/doctools.js b/docs/0.10.5/html/_static/doctools.js
new file mode 100644
index 000000000..8cbf1b161
--- /dev/null
+++ b/docs/0.10.5/html/_static/doctools.js
@@ -0,0 +1,323 @@
+/*
+ * doctools.js
+ * ~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for all documentation.
+ *
+ * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+/**
+ * select a different prefix for underscore
+ */
+$u = _.noConflict();
+
+/**
+ * make the code below compatible with browsers without
+ * an installed firebug like debugger
+if (!window.console || !console.firebug) {
+  var names = ["log", "debug", "info", "warn", "error", "assert", "dir",
+    "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace",
+    "profile", "profileEnd"];
+  window.console = {};
+  for (var i = 0; i < names.length; ++i)
+    window.console[names[i]] = function() {};
+}
+ */
+
+/**
+ * small helper function to urldecode strings
+ *
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL
+ */
+jQuery.urldecode = function(x) {
+  if (!x) {
+    return x
+  }
+  return decodeURIComponent(x.replace(/\+/g, ' '));
+};
+
+/**
+ * small helper function to urlencode strings
+ */
+jQuery.urlencode = encodeURIComponent;
+
+/**
+ * This function returns the parsed url parameters of the
+ * current request. Multiple values per key are supported,
+ * it will always return arrays of strings for the value parts.
+ */
+jQuery.getQueryParameters = function(s) {
+  if (typeof s === 'undefined')
+    s = document.location.search;
+  var parts = s.substr(s.indexOf('?') + 1).split('&');
+  var result = {};
+  for (var i = 0; i < parts.length; i++) {
+    var tmp = parts[i].split('=', 2);
+    var key = jQuery.urldecode(tmp[0]);
+    var value = jQuery.urldecode(tmp[1]);
+    if (key in result)
+      result[key].push(value);
+    else
+      result[key] = [value];
+  }
+  return result;
+};
+
+/**
+ * highlight a given string on a jquery object by wrapping it in
+ * span elements with the given class name.
+ */
+jQuery.fn.highlightText = function(text, className) {
+  function highlight(node, addItems) {
+    if (node.nodeType === 3) {
+      var val = node.nodeValue;
+      var pos = val.toLowerCase().indexOf(text);
+      if (pos >= 0 &&
+          !jQuery(node.parentNode).hasClass(className) &&
+          !jQuery(node.parentNode).hasClass("nohighlight")) {
+        var span;
+        var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg");
+        if (isInSVG) {
+          span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+        } else {
+          span = document.createElement("span");
+          span.className = className;
+        }
+        span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+        node.parentNode.insertBefore(span, node.parentNode.insertBefore(
+          document.createTextNode(val.substr(pos + text.length)),
+          node.nextSibling));
+        node.nodeValue = val.substr(0, pos);
+        if (isInSVG) {
+          var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect");
+          var bbox = node.parentElement.getBBox();
+          rect.x.baseVal.value = bbox.x;
+          rect.y.baseVal.value = bbox.y;
+          rect.width.baseVal.value = bbox.width;
+          rect.height.baseVal.value = bbox.height;
+          rect.setAttribute('class', className);
+          addItems.push({
+              "parent": node.parentNode,
+              "target": rect});
+        }
+      }
+    }
+    else if (!jQuery(node).is("button, select, textarea")) {
+      jQuery.each(node.childNodes, function() {
+        highlight(this, addItems);
+      });
+    }
+  }
+  var addItems = [];
+  var result = this.each(function() {
+    highlight(this, addItems);
+  });
+  for (var i = 0; i < addItems.length; ++i) {
+    jQuery(addItems[i].parent).before(addItems[i].target);
+  }
+  return result;
+};
+
+/*
+ * backward compatibility for jQuery.browser
+ * This will be supported until firefox bug is fixed.
+ */
+if (!jQuery.browser) {
+  jQuery.uaMatch = function(ua) {
+    ua = ua.toLowerCase();
+
+    var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
+      /(webkit)[ \/]([\w.]+)/.exec(ua) ||
+      /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
+      /(msie) ([\w.]+)/.exec(ua) ||
+      ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
+      [];
+
+    return {
+      browser: match[ 1 ] || "",
+      version: match[ 2 ] || "0"
+    };
+  };
+  jQuery.browser = {};
+  jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
+}
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+var Documentation = {
+
+  init : function() {
+    this.fixFirefoxAnchorBug();
+    this.highlightSearchWords();
+    this.initIndexTable();
+    if (DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) {
+      this.initOnKeyListeners();
+    }
+  },
+
+  /**
+   * i18n support
+   */
+  TRANSLATIONS : {},
+  PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; },
+  LOCALE : 'unknown',
+
+  // gettext and ngettext don't access this so that the functions
+  // can safely bound to a different name (_ = Documentation.gettext)
+  gettext : function(string) {
+    var translated = Documentation.TRANSLATIONS[string];
+    if (typeof translated === 'undefined')
+      return string;
+    return (typeof translated === 'string') ? translated : translated[0];
+  },
+
+  ngettext : function(singular, plural, n) {
+    var translated = Documentation.TRANSLATIONS[singular];
+    if (typeof translated === 'undefined')
+      return (n == 1) ? singular : plural;
+    return translated[Documentation.PLURALEXPR(n)];
+  },
+
+  addTranslations : function(catalog) {
+    for (var key in catalog.messages)
+      this.TRANSLATIONS[key] = catalog.messages[key];
+    this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')');
+    this.LOCALE = catalog.locale;
+  },
+
+  /**
+   * add context elements like header anchor links
+   */
+  addContextElements : function() {
+    $('div[id] > :header:first').each(function() {
+      $('<a class="headerlink">\u00B6</a>').
+      attr('href', '#' + this.id).
+      attr('title', _('Permalink to this headline')).
+      appendTo(this);
+    });
+    $('dt[id]').each(function() {
+      $('<a class="headerlink">\u00B6</a>').
+      attr('href', '#' + this.id).
+      attr('title', _('Permalink to this definition')).
+      appendTo(this);
+    });
+  },
+
+  /**
+   * workaround a firefox stupidity
+   * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075
+   */
+  fixFirefoxAnchorBug : function() {
+    if (document.location.hash && $.browser.mozilla)
+      window.setTimeout(function() {
+        document.location.href += '';
+      }, 10);
+  },
+
+  /**
+   * highlight the search words provided in the url in the text
+   */
+  highlightSearchWords : function() {
+    var params = $.getQueryParameters();
+    var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : [];
+    if (terms.length) {
+      var body = $('div.body');
+      if (!body.length) {
+        body = $('body');
+      }
+      window.setTimeout(function() {
+        $.each(terms, function() {
+          body.highlightText(this.toLowerCase(), 'highlighted');
+        });
+      }, 10);
+      $('<p class="highlight-link"><a href="javascript:Documentation.' +
+        'hideSearchWords()">' + _('Hide Search Matches') + '</a></p>')
+          .appendTo($('#searchbox'));
+    }
+  },
+
+  /**
+   * init the domain index toggle buttons
+   */
+  initIndexTable : function() {
+    var togglers = $('img.toggler').click(function() {
+      var src = $(this).attr('src');
+      var idnum = $(this).attr('id').substr(7);
+      $('tr.cg-' + idnum).toggle();
+      if (src.substr(-9) === 'minus.png')
+        $(this).attr('src', src.substr(0, src.length-9) + 'plus.png');
+      else
+        $(this).attr('src', src.substr(0, src.length-8) + 'minus.png');
+    }).css('display', '');
+    if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) {
+        togglers.click();
+    }
+  },
+
+  /**
+   * helper function to hide the search marks again
+   */
+  hideSearchWords : function() {
+    $('#searchbox .highlight-link').fadeOut(300);
+    $('span.highlighted').removeClass('highlighted');
+  },
+
+  /**
+   * make the url absolute
+   */
+  makeURL : function(relativeURL) {
+    return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL;
+  },
+
+  /**
+   * get the current relative url
+   */
+  getCurrentURL : function() {
+    var path = document.location.pathname;
+    var parts = path.split(/\//);
+    $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() {
+      if (this === '..')
+        parts.pop();
+    });
+    var url = parts.join('/');
+    return path.substring(url.lastIndexOf('/') + 1, path.length - 1);
+  },
+
+  initOnKeyListeners: function() {
+    $(document).keydown(function(event) {
+      var activeElementType = document.activeElement.tagName;
+      // don't navigate when in search box, textarea, dropdown or button
+      if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT'
+          && activeElementType !== 'BUTTON' && !event.altKey && !event.ctrlKey && !event.metaKey
+          && !event.shiftKey) {
+        switch (event.keyCode) {
+          case 37: // left
+            var prevHref = $('link[rel="prev"]').prop('href');
+            if (prevHref) {
+              window.location.href = prevHref;
+              return false;
+            }
+            break;
+          case 39: // right
+            var nextHref = $('link[rel="next"]').prop('href');
+            if (nextHref) {
+              window.location.href = nextHref;
+              return false;
+            }
+            break;
+        }
+      }
+    });
+  }
+};
+
+// quick alias for translations
+_ = Documentation.gettext;
+
+$(document).ready(function() {
+  Documentation.init();
+});
diff --git a/docs/0.10.5/html/_static/documentation_options.js b/docs/0.10.5/html/_static/documentation_options.js
new file mode 100644
index 000000000..2fa8c97fe
--- /dev/null
+++ b/docs/0.10.5/html/_static/documentation_options.js
@@ -0,0 +1,12 @@
+var DOCUMENTATION_OPTIONS = {
+    URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
+    VERSION: '',
+    LANGUAGE: 'None',
+    COLLAPSE_INDEX: false,
+    BUILDER: 'html',
+    FILE_SUFFIX: '.html',
+    LINK_SUFFIX: '.html',
+    HAS_SOURCE: true,
+    SOURCELINK_SUFFIX: '.txt',
+    NAVIGATION_WITH_KEYS: false
+};
\ No newline at end of file
diff --git a/docs/0.10.5/html/_static/file.png b/docs/0.10.5/html/_static/file.png
new file mode 100644
index 0000000000000000000000000000000000000000..a858a410e4faa62ce324d814e4b816fff83a6fb3
GIT binary patch
literal 286
zcmV+(0pb3MP)<h;3K|Lk000e1NJLTq000mG000mO1^@s6AM^iV0002xNkl<Zcmb`G
zgHi?o6ovOGdxdP*AltSE*&JruJwUGI3!FN?xxO>s`hMrGg#P~ix$^RISR_I47Y|r1
z_CyJOe}D1){SET-^Amu_i71Lt6eYfZjRyw@I6OQAIXXHD<M{a4P!N^sPbQKi=?mBx
zoos%BSoiGXjr-;%$QixXMOVNSUNp6L0a1Oz&cgu)wqE?07u5I7qrQIu4Fij)Y3c&0
z@0u_#NH6I?Mk(n;dT}d~^J<WkTLqp|RW-hV56tKpXqu)k@V{?amI+5DOlEU@funz+
kySsbM>fiX^GbOlHe=Ae4>0m)d(f|Me07*qoM6N<$f}vM^LjV8(

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_static/images/DataProfilerDarkLogoLong.png b/docs/0.10.5/html/_static/images/DataProfilerDarkLogoLong.png
new file mode 100644
index 0000000000000000000000000000000000000000..a339e0f6acee7c29d438847b4cfc48957c6a3296
GIT binary patch
literal 20019
zcmY&g1yodB*G2>d6oy6`hEhUGx?w<&66qExk?x_T8>BmxknSA7p<4lA=#*yY&j0#-
zpT6(E)~s1DYv$f__SyT{&#oK#TInS=78w=_3JSKIEaVLe3Mvfv8-eivct0ohJ3>LB
zL6L(<s6h>o8IPcZ<5N8gDT=5|;9hCSw|9YWh`2~CSw0j)pZV2NOQTD3*7_CF=nxX#
zW6(ik3DNlymP@=(CK|5xd^u0+z>kFDf$ezqczJH#te+$*{nSM!cXOIm;#`KSO>=eH
zooF<p$#=K!9^UJNJ3hmiN3Hlv=%_R(|GeB3#QRrTb1eV;8I3qDEE(<JpSUTa`0<qo
zlVse#hl}#(^>ML_;_pAeAH9~SxG*;n*aij0N0dLWkLG>|j)(`k^>Z$1FT5_D;&w;#
z<nxR=f>PRSryIU1U9&!8dp28PBqepRyu8flO-Mw<bKxo>Ara@}bA_yb6HO&TCS$uj
zQMz{ZlENO+u~26{Gx0?!>AC*knaj>(OwIQUAy?7&ygRdvV+5j<f=(Rxk+w5+$m~-=
zm!0>CGfmExac6?AyH>Y1X|}Bv=N`Z>$*d;E$9XEV&iC#=#CZWTR8<|@zf$%-BrqQ9
zR;(T2e5Tdp^bDJvchK{$ZpP;G=2$^mn|!R(r@ICxaTK)wy=XKs`0<^Z@}*E#`!TK-
z3v!vG)*?Y=-{}AB90fxQ|LvnB!<#M5;Nf&m$AUa*!uPyrL78GTHzbChmCaL5Pbks<
z2(woXl@&gdBNc2|=4FZu7nqXbN3!@<Kgc{Oww|dgJ*>rh^6<}hQSOnTv7*}+C}j+L
zt>$TFx{f?3S`+Y<Sbt1*fvjH;jai?Aoc&#?L%g^ST<Gn$k4k5AjtlUDVuzY)yBRUm
zG268H?Z)-YtJyZ<x1@izg@TrjC;JTQak?|*a8b3&Gd!59;YiQ19E-;$dV9Wdf2eYA
zgZs}G#qBV^5W+G9oiDRA4ctxL?DV6dr~7mu5N1<!<L&~{=d!oo??dc*Pey|7{-;i#
ze9&UC=EK6mUT4jF4JJ2Ac(duY?)*4BJS?KQO15pCbDt?C$-EO=7t1Iz++NT&bXrZ&
zOs(`fK>fRWUm9FlW~d|W@UGaz&F9rxgh8_y25wp!NK?<g>xX5x!4bmbMs$7F@m0Om
zR4yMM;|BY`7X0hWVi#g<D&w`r0?J#@Dk0JLlz;Y~{meI=0LGBVfF4UfZcI}xPcv7K
zf(x6XB(K5wV=<pP{OZ5d(9_GkdE%e!1t|O!^?m4Hd-_KAiGT&>xHjBq))&ig<fbqA
zRRQ<o;t-l?&AmTYSVZ^z_GsQbQPgpBFom1?EVsI1iSizX!Jbw-{-1SzY(qn3gC>bK
z9}kjpn_bTtqE+k$prDl#d?>vC=Q^LTQGJPEXLlF3s#M<ROMKP$(5-a{J}%ap1>pa+
zT{s{s_*JiQbozdQ*o}o02QEC^1dRsD$^KvcsFKZwAdYJ|7l_n1l_0uR8+55SxW3;o
z=Z6eECy%a=*e{sHBNkubqYgp#GfONl$){3L!iv(BA$Rn-$|1eIiPY~&&|vhqHJvhH
zMTEF`lKSofy|+_>z(wcuj>3v42wH-v)Ve-UF&A-VhU~7_NkihC6|)k`ge6_3vp1zi
z#4+b%M`P<^>5&IHSsa_3zH2nlQkxJey4n{7g<+DAEW8oXf%c~;sP`CfYqpt#<Wv%<
zM#ja3^&U9xQj}XZmD+mGVHo&+ixOWQv=ln^6F_T3s=r0Em9vn`p_g-RjI6$Zg5YT_
zl^SZMFYrWSML<8eF!-6i;XN2GZ7%;>_(~ouIqiP-w58^)?oPKzFaLyq3mUVz!A#{k
zgYaY+uAML*4DEbT3giM^^nK{!W<gMQ&42>mW;cv-mR9c%d5>AZ+W%4fHHKY)1g>Ww
zKW6*WWYGX8MOWC9#19k#M?Z!s_NNWrZmh@9X_LSnQR`3I%){IkR`JHnMu;%x7auzw
z7f+V^uc#~vSI(Z9uluvvwG40u^S9GH)o;I@7mw)V*B?Xf<XJDjK(nRk=D<}lQQuFD
zPwb7QH)>O($@ddsqJbh0`XLq}b@A~a1kcTklQD`*N^(vNuY=q^mJgA-g*1dGg)Sg*
z8Kbu;zgh4#20Z+NknR%^TxhL`GrINWbmlY1<3@P^;i1L_h5cV4$AVx%iWj`NuzRUx
zjf_y^js4g0335N*Ae?$Y<Y7fl47qpoN9o)kWJDw4v`SLwJNZz<Vut&`Pg16IyY^$i
zmhCdDhqiYm_8&MxiPQz+LOx|wZ0?KiKX~8d5Fqh!*4nNs>KrroPGBo;wU%5zkR6<>
zBjojKP)f*nw^l^ROG2B<Hv((EPn9v+(0QfkVcr;Cq%WT^oDCg5!_Vtt6Glv@lWpl<
zn#;@p`KgIGX37{ukyiIsf@p_R?{u1HZEJbIcjpfhb!9jk;trG$0v}#ly?g}TQh<m!
zDb{Cnsj4Kr3qTt@zZOzL9D~Mciwa*^f{W_5Ngb&e$7NHrIO}Gp<Leneal(a6r{h^P
zOSCFq$I_SV=tRpe%8Tz`f}wGdSDa1xK31-hPm3I^UKj<=6<ugi`SFQ=?k6Pk#+Zj-
z%>j3Eo+JRtkY>r6Z=~La1umL~kD>_$Hsw>xn$DDcG8?umXf>no6y;6EgL|BbxEfYM
z50(QjFe(~PG5z?A{rDz+7&YbF)^aZps$=5eQE`L<C#^t{HNX`p!H8Bqr5Yv1N#Bs~
znMr}UCSXhuAN)!0kf-|dlk^Es5}2~^N#~E|-KOovMJLiss047jE5H>Okxlsv?W9uD
z>Snlj#jHIBI7z;X*gqCI10}lA$|*;R3tt(6FQ1C@A59aj>0x#jSv<c;MZ_^Gu6q*w
z)?Vl+%<X7`PqX1-))r&F1k)fT<oOs+MuG*~(_(7vR$>}xwJ^%TZ=uVev*QtMrVjU)
z1z9pX#)S%K(m=WS=mq9tZT-%^gKit0;C|@tN@Ko9&oIUJ%@p^;f~-xc+8@5Cdx5s8
z(M`yiLJZp}#RgCXKW1gnP=YKx`>H*i1s5hk-TU!;J$%vYW(eUCP0nZID1M2-=ShPC
zPg94pkkwa%$Kyg;4~@uvg~^owD)%KB%(&v0)Lbi}l2CF^oJ~8J%re-B3Qw!V>q7<!
zlfZbcEZvXy78WM@5VJCq!Y#pzLrsfBI8J~qEu@o94r;p5LIvXJrA&bfvE;^X>h_yF
zAeBu1YS#IxuGb;4*1vr40KoX45xoa4!bC6;?;oGNf^jHa*7*q<z5~l5$ADX|TTXU_
z_G-jG?0yl#4i=@5)}SAl{5le0x4amQfk}U=IF0qhc8py`Sk_N-2TpwOR(B({HGGUj
zT7CMZHgX`C)m;IPzyv-M93r|Bkuksp?tfLRhKPR&s?5d4>p6X@KgOqXQC!&n>3zhW
z$cQDPD6IG_#Sz`FKE~l59#KIvh^6Qa*-f|dtcSn1GM+KZvY{(D_qHitjIODuuzwtK
z%!_B?!kBFC=Q?$0itHa4U=!Qf;Sa8Y16W7?7(RgKI6~fO2iDo@h!9jm9B0@dnTrnT
zz(r2R!ADCQKU*IzOU_ybZ>QeYs8Z*yXvsj@gBC!THnR%4N!&_P)4bn~OR4el6oY6`
zw5F;s>|MgjHo=O}{-gl`i){*VW+p=QO-aa|vw(KM#;!6%vV_NNGxfHJe1^EvX>7ik
zQ2pW_-VJrVSMfoVL7R7|<3O-G_4*sZF$+~GmLdl*UQ1lNxRCx>G3<DT0N!kMQ8lr;
zx?0DbVaJ5uj~<PJX8RVceD$H_plTBJr-QiHvwSjJsjZXIDFFVnfQu?E(~f+N5%~{y
zngBzkE<ozc?kLmbVtY@Xjxn02qdtdrVWq74S`~XU7lF|-C%JI%wz4fRad3Qs5l6I5
z`5w1yCArK@crjxk3f4}FcbQ}6&8CFv0zo0SDJ7ZX=aWQ*1~bOT>Z3e!V@SrZq8i%V
zmWaAWY1Vb!ST`#(iq#iy&&cf9ph(`{O|*WrEMUEMXzX~{6FgoC<0UF;d2D#0<=~7~
z;WoGqhTy?T8{9eZ$hV_5L2DT9H9Q^`PANvD-uG21G~FJnVe#ZcV14M~s$FOn3Ge!s
z5=-~ohC1#cEmI<OJVTLcG>>!%3<Kgh#y|?w#b3NDaC7OBXU%@~)n%JIwvVk0?*DqV
zKW!cHh<w#g8NiI!e)Y9wn~9PdDhc7C8_$BPS&*8lIMzBEs%p|Z3;0)qtcEV={(0~Q
zRNg&jhNgVoGL&hHg(5&4=6EX8ge4lhTqmOD>3*zGbf#g?iY@bYti8Ub{5B)=$NZuY
zWa!OuiDj?S)z^OJqFmgOhrCo8v{0mPn=Hbq;LP4d-oT2R4qUfb+hh<cV6#HTQ7l9Z
zb0L4HDg#gdZCFp?+h=t_5hXZz7bvD(BF+vSzYMH+cU@bpjVcb+RT2#GVpd<ZB~Z34
ztVgJF6Trkqd2UpjXHy)xSP*5v67ffL@;3q(SFye8x<`jvjms8IZH+@-cEKKy74hT4
z1`^p>SlQWME?Upi4-LG*g~9P*5U0$t&F?yjyv=+VM$vSyOQxN#M0;$-ZhqA$LnxgU
z7k2B)ZMKB2Uri~-)onX;KkM~FEYqmn2NiqEXhOUAm=YI;`Ss@dH~MXIqr-|K=yRE#
z5TN-X$lhplmf6XxBshk=udNN2ldnK4AFquy<Lpd)QV&o;HbY`&cJ?!;&oxq?3KOLP
z;^|8OD-qFGSRxjyo~-mH$b>~RfbH8g0;mWIDs=H<_;E+n5yweLC4FgiHSjBP-o8!6
zxRpo#X~j1~052mJ`9{wldMCJ<`n-L2(woz>)_QCJE8V_7cG0wSSQnyMK?e<dVn;F6
z`!1al^UKCWG8=>*r!KTY9UPF^U=wXe#_7vRt*u*?J`7hwa<9|szIL-_Z*8NPc}5i$
z)P<81>PQ7_55eP=sh{{9hd~F+pt+UabGV}C<<Dw1C}|ub@~$wA4xpm<nV@V^4Unt}
zFCmPz#re0E(m#D~CTX;(XdI1%CW6{SjmaqeqaY?s@o8+FL;Ajh6Qw~%OBv|!0i3a}
z43>27CQ^SV?@0@xCL)=VMSD;PRe@!bsa9RkqYmi}E+w&sm6+aX%Nc{2@S`(S{jn)p
z27v3zKo+zH*=BSx0N{~;xWt7?>^C*`s_;Ge?}D`XIHc917<1W^s|#NvoGK;LPFH#3
zvDf{<%!F})_Eiqbu)XHR+L4F4Ecloi#y-+WH8i`oO>7-Td4>J7kYDnJMTECm-P&+9
zwZNN-_DyraL>1agKYs=D9b40e;_+wK6or<TWW%0z(>TF7V~xAD*5yd)#;R85ka=nW
zNxmsN{eEoD&5yM#Z~)Y?A;<5JXC#N!<aHmgz{>D=mGA%O_;=LB$@xm-oD_Y=mZhd5
zKU#7OU02wVZI9W)2j1EGdrYTc#U(JUEceVsZu&5y+ZyVRNvqu(NXp>+b<C~pPwM&c
z_+3;5{`aRv?O3acz5X3PhLbyI&Zg@Srvc>@X)2X0b&-uzAKXg-u)fM$9bmNW@k5vi
zC3=Sg>c^_^)MQ=eR}W;U8)LFz3VHxvY6>^F8mL@f(sI-+%&0ik-Pb8Ad{zWLmDDLq
z<Yw}ft-MI=@(&psx66Mt9L~9}&WOgoEy2)Q;IbxEkQGWOlFU>R0tzb%@mhWtUA9e9
zpQVJ~Z)Y__8b?6@%LA|_e^^~Dkf<w&^GD*;P44pau*hWHqPp5D2KX{@sT>K$h1JF6
z_>IREjFG?o(d%GShhu}{?Gjgu2p14dM2)uyo-@R;4Ys~ygR(0macKegKrn*Ei?QvO
zc%>+Ut2AN2&kCn77en7uY07u3KY4M?C2dv{Pso3xfIDUr_(=ZS%v2(r@|}_)z-d!L
zMnwx5>UwG{Uw-6yu~cgvjjUYG^hl<Wv@@c1s<Ef8V}RZ$<=%%6wB)LkVcxT{c;9KX
zvV7)DY;V)Ri{{RvKQ@-1eB87^aYtFVS-e<#I1_zS7{NP*Ddd?EFBhSEk!j(>j}#Ed
zv#HO*S$Bb5vDz<52=#rU%(uMMU`ceDS>vd&<X-!Xs1vE{nNo7W!poa;Fyo<;o3Gc~
zs5l@6hgGea41x-b`;bg%>`8?E68rhd_q`3j%zo`@T$*ms*4`aD`tR*itl_#4NXhKJ
zL1b;lW9M1k7UmvO^YZD#{-`)N^MWj;9j4RBu}o@^AuqbgL-2GLC5c(qp><$V^P9cG
z1&y7Q!A9NuNk2rm<+mbRT$o0{zV{ncttIQu*w9A_0@&KmtW$3Dhb+np`==ns;4yX$
z&b7#iK1I<PKSbzvixlljzeQ6;0S($_UD6$lZyWcYY6^cjst0_)fJoz@WmXr1TuzpD
zS5#eE=eG};GtiG>z53<W9`DQ3$~G-Jd;~7K;oaF`$pc_w$Nr?qAHl4@Z3Yywac6bD
zQTP<CoX)Bc4Nfi#-_|?~jZlDs#5nM8PSp3!(3B+UG)icoEu=(z9yz7mPnjp8Xmfp<
zP7<dQ*Fj$~y>)H;t5{yA+&CPIZ`N9akl159E$xza?k*b~azcqLg8+<5Lkzjr*fjT>
zBDvsp=qhAdpI&dg{SD59u%7MIR``e3OIW}0xM$HB8|dBCO+|#|(*-nJYT)q0=rIfm
z#wz-pksnyFR8bm53e5xut%`~8#v7R8rcuX0b>b(}2C#L5nbZDEO_$k->IA?x^duq5
zT+<bVu&|=@N)myumRd`u5l_Oz_jQD=t8EuWzcbkEUuU0_cNjJ1;<9YKE?JLTTs8aI
zk;6kmlGfoi@kN?t1lQ|hb;1RQdQ!6Wh4-8XG8l2{09-)yoTZ2>Bt#2SEZqQ=%3&R2
zKB8n7ix?NCWDemj4<?#lEZujodGlODt|j$gIg?IfxKq;s%xkS_^U8pvb-iejh#Ji=
z4nw78ZW!flAOfe95mCj2`m?*Jm;@Yu@@*q9q&~O5@!?cx&p^$3NDiR4RXqZ%CHNyU
z#g%qPtuMXsp4*|7n<LWIvuL5E7)v)_04(-rf`-1&E!(Uv&9`C{Jzw_RP=JVy^LXVY
z7^a_5US>Y>)0_<_Qp$E?WGdNr5Xamo8jT8pV6?iM5ovIOr2W-Bx|;Geb%`9HNUap>
zL(%H*JDsQs9vAdb0Xfs1FTwRZ-j(eNyXhu^xUeW0lmt|1fb`e_(L(>qiP1xiS($Ri
z@(vI(8^gdJ|AM3`pZy^0C9_atYkP5FSTEP=6mw!O^GksCHs&(xhi+UIemik~lAH^V
z(F%7>pTar&6vM)(VCYUTVx}ae;1Tu2-Fk-3BMBgx{K1NK0~~P%K;+|*{iD_6zy2JE
z4R!O&oS!}+U>dXs!pjYB;;H(@A9q%m^K}rXy0T4q<k?UCNMT%<x0#OP!zAq)x_c&5
zWYrm`keZp%<N;I#!zjAkXaPk|<Z9&N>TyyB8v#H>mpavg7Kb|DW@GyRq1FSXeVyGK
zd@3Qrh}@z{^YQNk>U>PxKXdMYfUBg^Zq&zy62sv6v%7x#&hU<l*-i^HA#2o{q8nAP
zd$d&M6d#5GjskT*#~M4Dt*~ncN2f_b;&XlGlg+t;vbxr~!iEMd!P7}&i=(xnHxd%Q
z0x8B~^)_?Nl=cCWsE``#8Q!Co=lV^_ck`9T!Jk9-I)v@4s*HQ0WIR_(b?K(agj{!L
z_s?uwFJz9Vu3h!@^*g>Bw78Q}`&@I5|NQwRFsJ=Kke~x+H$oRa(SHrq@4=B_k^H@<
zB7jxe@{~o8t8o#Oi1=w(dmOY%-ElKOyKY{3IvZ?C8_rFBTy&QDp4Q|YRtp8CAfYV@
z&z{levy0J!2Rstqf3)~MvfhfQYpLj|TpHSOvXxdz0Ae=g45uR^ShEZALwV7b=|B=&
zTaSp1mYr1gm{CU5&P3@<TgLRqMeOuN%DyS`EpZMP1kc=o@X|1Q%pnjc?UnQk?HeW!
z1}vH)bLzIT#;<_<30>~pMr!8iM<TRxBDuST^$?QaqsGvqK^Iu>ni*!~=0GLnI5dwF
z5Oi)yf{I$8<9US});#wxzwx1n>jF26<!ApO5ZG=mV0%{&SQsHwaT|a*_%PN=fPJJu
zj$O%<ByIJ_#Hv*?_0?1oR6{o&fiD>^*#feP1-u^_OuhP81*d;jSoo^#X>m~8xkfvx
z9|GInc1tHR<~@VIUy@_)ymOC$SKXLxlt{tjmO5mhNE9~0|5uFfMn`>vPk{%I7(7kh
ze`7?imy}yIUs1qkwLih9cAEpuHXDuI@_S(}vx|nCAYc}T%|~E$x8Y#?by0X_T<1eW
zboL%woR`w-myn~ry=rFLaUhXFByqP;Pev!y&Yn>}=%PaqW4ggrua?{zA`(*K@o0>y
z?nMJ7f7%I=dSh}(rm@McrGcL-ke&|47PibD7X_s?sLaZv`ZV1sQ&PMAipg-X0`%e4
zerAE?WwpkNxfH7)7LS?gYwBNR(bP8HSOx<x+CnJ-B5~uJ^+BOjOJZL~ANv+i9T`$$
z7<i&$HIWv$xtG}<li9SThM%TNf>dZ>KT^xI(EA7<#+2doX3F2k+fF5DF_-iqnz!S;
z?d`hZ-6i74r3kq1%Y7~}!sj$#c@<Xou1b>a7Hm9gffjzGpw)Li_`rbxvsDm5jQLVu
z$#mdiZMsb>Nd?*G$Bzt#@6jO?V7t|b(`BKJT5I+lPHPhrR(<855Z^Th=uDlpN5^(~
zi)arWlw;+-uaMc?K~Gp%Sf7i6)cymReX6gPmzo+t?(P*6UT<enIwjx$!wRlYQ}{fX
zfD^}@CkAlEM(nj(*HQM}Z;vOyJ-5K6Vf-s$ks-HE<Dn?PXTn1a4(fYg!KOl>Qg5!~
z>AIJv4*&<oJjWkO&paY>;|(exIZaDiw4Q4^Ik9cMU7Iub<d1!a0Xy!O?@>(Wk0E+I
z`-*U?G3Nq7ca|u?#{m+np%B>dj|Ku_l9a;HRzh`)uE{o2)BL`x^j7|K-Bt{P{I*sM
z?BY6FsI{VqA(n1rOz;`b1TlRuB8rk%x+#CJzUXZaNR0G9pego)=SKb!oCW8)ta_Q^
z(;2W7Ha4~vlM&-^2e7(<IHT;uT*HSQ^#X-tjwR$$M{vPouK=R?Zlfy4`)3Yz0(_Gj
z!A1O!yTa<;cI3w;Ow`P+*C0RDQu`&5lXf^Nfms{NHfxEg!@3|Qjh8#Cp1-EwMR9YL
z+WT_V(+a>`te_GlH#;uZZ-<FqB9edmF2ozeF&WE-%M+cc!;2f>l&FCOu?^Fi*o9?Q
zPCHB)t*r4hwPT`Gx1Mc87|nJ9oqc=zxNy<*rTN?Wnj3zUm4c7QQu|fsR|oJ;3OWpf
ztldz(>Op%4`iY&{Xk*hGgA?=9`r;5eO0*yapQ)9V1d)8on2XUdlQ)>gxnBl~`Xb;g
z3cT!a7WY9?@m=(f4pX%I7OMqpK_F^xnh8NPTMcw}c?y}XveKK+>6YUlyq-o*nX8Ul
zl(6PE*SN6RQfj5^lXnahetbgp{XrVsZfy3`4)!+{vJRdV9((&8jO*O2yR^PuH|`tT
zwLsD^38!h{3R-%ZTZnZA&%3~!KRk5M9;;!oVQ;&Um`L!K^ksPcMrZU*?3Wv$C_(_!
z;QM^uNALyoBwWrbs%(>`l(BX07J|H>g*H}3Pf;gpc-3D>V8aK{w^Rj&oww{nnT{HO
zRD(xJ)3T9AsG_!wc}Ta7SAT!c`Pq#LU=!s#oXA;mh$FJ1MrGn~-fU&YZ;c6RoZS;a
z>UgcHERxrHJH7qL`rFG93cAG=MV`;}{Crexnu_>BgD20nl3qc`k>V?pXGWfEXI})h
z?L)Wgsr~9($~K!>HH?7FvF+s2_ou~Mskg1_0_4=P8u`LLSpq#3!3Zk1iF#3h=}AHE
zYRspbUYILn%(4i$WXwmy>X11iyDrZRsXnCKEZTg1-|C0Btm?DD?BIwk?WVtFJKZ~P
z>$!`(YOZnKo=DVfn@e?-6G)%`SS57%uzt94KV!C&^0ZnD;iQ`qn;vn$;Con6#r+<~
z%YF;)kAC$DfG|og*G(S3nX2jQO9Dw1-#W~%A4{na0ghoX-&AV~j|j*Mt4y|D#PhIf
zqJ2J-n?Z7|hkdqH0ajMof(K;xEO=xL<_&YLwe#aN)mHhz%Q8-Wi?w8(Yx}ou>ybNx
zH;Hl@ZiSBcfglni4SqYDx1_kRK*-Oe>LL<QpGAb8QWlZ=0V^v`K}&$Qz=hp*uBH35
zKNrp#tEKw1@0^<B9M{ALR3;!1Jj+8yzB*_PS`U7oT-(2WAQC>FpUXTK(tEm|k@ee!
zRJPzW<ySA~d+-GF-wGuQ;li|AL8dKkyPf?_pK&Pnw@{rXVdmovE5D3=zW?BvbE$v=
zUIKsQC62^@60sW2EgRfP<q!SpKbLLJjGgq!=^2&XQB}MPWCnJWTASjP#VsbBOdgt1
zH7id}#O9*0IqG`_D3nh%xEN4bmVL(jYe0{XR+HgTrg(UH*sAY&L?N9w-COivo$nPS
zEU0kH`x^5^t9pb=f+Dv~2cLoJ;o*0nD4j7=Z(F_zyq*7$lJ2+8Wz(&b9UmW;rWA6q
z5_27%bxohFSM3Q-Ysgp=VcAA#F$fkG_S5K(8SeMnCtXW5<s<Ap?MHCr)tHXpMrnz7
zL_j)|2d{MT_{&c3{-0g|p|XfogwF`*%Wo=|Z>^GE>z?SRY6-5YMep|Yi7K)yW3jTZ
z3z#VBTq4g%@(+0*IhJTuGZq+fyZwbyi5zDSlU2#Z>T0n#!=p0IsiP$L%SL+T6*f6q
zd0c1~$eEu6tv)O1_H<NE#Qj*S`CS*5Vl4g3t4h(E<1r=Gd<B8c35$9i(HzGc2dK&<
zXI5pEL6jzAx`x^+80_9{t?P1Sy&|<_4sa}Fw-~u~7a!erY9?3cD^Ce&b$l`Y&i?p@
zKBm&|rT_t901%XkeM|m#K331cft72vX5j09(F6DZZAz5_ACQ5m+_Uafi{yc(mu*rz
zh&Vxqs=At0uLj+EiJ?H2<`4;ZZbtGFq?Kva^%~34{Dz4x78<+j{^3`O^>>TMXDdG5
z*JF5eGO(U!mIV<;PXb+M?R%u#ZpX_>X1*qs?39QN3vO)!VQU)Ih&6di;of+%X}hMh
z`g8hRtmx@?l#+4{q+x_jhPWfHBlkI%yIFQB#GYha4qtq8<WAf?WfiIfsvs6lUB%O-
z6^cCyDhbu0vR13_X}kSGZm9xxEGf)@n5aBRRs?6IlbBGQR0fg&q{iNa<C-s9I&iv9
z<Hm$EU(yXr6a`$N3T-M@Q8`}18*jOdX4nk{T;d|~&bwa;AMZpM97#5WJMCwLZoGfE
zvT;270Ij@PUZDO%_>)el;K!z=&-1pmfhwk@Tx^jvJ?6>$`m{5077W{pg)hj*{&K5J
z_%3#L-7B(yyy(Z?B;_`*(Qk74YN{v8XML`Z=!@*O&5E4@j9v?T**Q?>n75bvJsl*>
zcT*|&WxcyDjuS}WVt_P?HqZ{>*u;CCY%Y{I>=*{T!|~_>>2vk5(|)<klp#;8H$;n1
z1-usZ?iyL48KU2`Dr=8gRlCyzB$duwXAZ<PcsCuqn&j4USCp;?E(Fsb@#-@nS}M!N
z8thkGu#AN44wfet)N9AZ=5!q)Dq38EBqU|G`<IWN@86Hb-2yr~Iysqck0CuQPK~0P
zvr!q;E3v=i=ELtl>eF+E`TUe?GtP-k=U5-)W^ysUsQ}Wizo5!h`Wp6<6|#uq8<(w_
z-YAov5@c0+B~bW|<k?14P=hoF8{6kyaQA@JNK0K3NA`}jcIIF@KVABjWh!rF`}WC4
zv~j9+RN2)le~<`t_dZDY$0xUbpai<m;&XGwH-4oYX9DiykcD9HPFHP&f|wqYZ<6?<
zKO(MiKj<Q1Z*-n61qoPu{!#-uH71%4Wp~+bAQfx2o?<I6?2itWEje^+ZKqy;boC=Z
z|8Ax8S9ypm#bh{A>Wpo^V(h>K!(b!>D1n~|_CW|r!iru@C0W*s{SLCfR=cMk*gs>`
zin70cOZtxZjar`Zaj}zG<j*etRw2{hE)dC(10E&_xj&pp`b^(H+S8G-4$`tQN{m)6
z|4~52>v&^?VWlS$k->j8%EEq<&Ts!Njt!mR=+@;YV!`Jw5E@UE_M{y@MggBlwgxG7
zB_@>KKR`*Tw{pqny!A6K*pOrP^x@@xcu@59@tAVfVjaO3hjel+-fL%ff7cBbmiZEb
z89AJg6tf+NdU!`&GVv`3dihhGBFm<=0O=;dk@ym2Cbx#l+N#I!?UUXw^*t#)ylZ7F
z>jJF}A82&6Rfv?^?3d4x@j&bk9E_PTq5hb)>5m$rx)JmQW#okX8!A7<{SaT?$`9j3
z#B)t9GwYpwKyv_CE*2;3E5d6c)_{jzGpHT1^d2I`&7LlyE`+1za;&=_)>@+9T&Ea(
zO4(XJQ$Fz0(0ecln_O7g+yVh=UIn;lGjB#bU<yyc{adu+<=R?avQrk{`!!G<XLNb2
zfCEv>DcgLQ9^qIe7*XO<^5ebAQj`eH0Q+$VjycXudUJ%v7;z=#_mr9JT;`V0_uTcu
z_38g{YPBMdWLmB4L#VuO4ME%o68jEJ9%YFu3fG;jHz$p4N-fB`8MFMY>Ss{w#wr6a
zRv-iZ4B6ujnyKs}>)I4NSUX>3?K`07s1CHGFM4^H3-lZ{U`J&XtAY)$>)41_gvttE
zHNPi(_#CA1ggZD_qVsFZYsB%(l5~4$;j*m$7$xPknwqrLk(TMI=Ji#&M^rAeZ{(0=
zLHX0|Oce80I~^4@X%jz_F67#z6zL3_-dvn<>9Zn-$9Su=x$*is{557t$<i0<#Tw4L
z6SZljG&8>|yyHNHm-q|!oR@}lxtEM}p4Ibh{BijQfefKo?UMW6i7`a;$v#9xL^+}@
zSCdVB*!;%dB7rD070GFnJb-f#?}Mx`kPd8(*j*=Bz~c9s#3L{WkjB?#abYeReMUy0
zNim7PkPEF07JxvO+q8I}9*CP;dKWx-u+)s3;y0e?Bt<kgUzrrr>7#T-FDY9aQ8i6v
z%HDv0{><7L<gM8vxyQLagFmtau!&q4BrryHjBV}fnB{c&?F;kf<#~qPxOc2<_28#P
z;5zAz2-{DGVHVx!<yy4DKvE*w`?9aVI(WQ~<#1$JA(P8(d276QuWl<%YiaIf&a28I
z7P%2GSWL*d`V6IwMZ@|^ebk-H-EP+dQV~<R%U1E{(50x@YH#z^aOlD&mT$*6f0X>w
z|2E_-V&9|9_7ovmj!dgSMfF4_C4hmwck(0C?Cvo{U~8g;5zT*a3``o_c)ZMjQ%)LN
zEdpCj*am%_uWs(=XjeqNsAK<N-%-<QKDeqt%aofmW2kiXzf1q8yNCjn6c5%Bgw2x5
zYnob`97D10*rHI(TdH%qJD1kgH9IO^o8X|8E9m(1F;<G7X3@0wx7)-ZO!BNfVk{DG
zwnL5N_7r+mS$X^xj%KGHZ=cUhRhv`u?w9z2xk1}JRaU=7s6F?6dwT;({`4TBV3-7m
z%b@LHid|_>(LJIvh>xLKm8Emxj=_X`(CFzt<2@Vi$0rJXkNu9@xVLb+_WNy4ZRlm{
z=ciVlcr$EILk$O~Xj+7IDUaoap1h2B!ukF%GEUQRn_n2MlPB8YZ;KMmkARPRey$gX
ztJWS=Q%6E}w)Fe63z^NHm&cpYQ%3l@OW45-u|uDEmVcx+f^};<d>32XRtCh1xVJ=!
zJpAY+`5e?_62BmJ-#pAP>*0$@u=dZN<NkboYAJA{BzAO61*DV+-CF<EKz45d^ZYsV
zAvW3Zk=XF%ir|7rtQ0o?RL^upFdwr*;3PKbJ959JjUUsUuA0YruQ&WL>SV<YpB*~h
z?5sS@G9g(Hz$6gV({M>y{d$wE&-8fbGT`u^?ck~kK8%rdebQI<nw0Zhr!C_GzZ<FD
zOAOe-1o?UdrBLF{iBE*?StC(P(HTO6I3RRu=x6&#hov08@{`q7>0@e(^h%#Q3z>o3
zIR`CwJspmlymQXvFD+UhUbmRpScJ%Uarh+UotY=$T!zLSqzXE3sdunHxkV}1UH#0y
zR|~XOeitxRdGM#H4Fzo$ci$_}wf7S()4YNAl{=r(nyP*?=<$JHy_unP-ef(?yMu0g
zW%?in?ujyMQt!)gk3#o5bv$*evRSH6Q5)CfO-Df_^!BeJLu@>KRxypRTFAA3T0g#e
z);AhlE&uSuu|J)>(P%N-_cM^_`#^fU@Rhpo;h!!w6jV;s)<*^%99VqTv%j>9hV-bK
z5DT6+*Y+#jH{){DomhLVUWx?DKjra>80j-PcHJ8W&+U%Dcn)yfo@x3N`VN}Ug@rnz
zH($y|dmRUFe)8F9jc3tclvcQDDTc+<hMM%9?>u+5qh=Bf6C_|#y1vOv(sKtDw5lF_
zuZ-mS=U9Md9u~6Yvdh)0ium|MLfKdoA-3{GhvV5WgXS{?4}B)C&ctK7#81#%n_r5i
zvGi;ov>J(wdLX@=u|=zwiTZg={fcmpv4@sQW#y0BMxNx+Hic_)-SX&CUP~1iSH6Y&
zwcm<ue|P_OF?Qo4cpLMQY9zfb(EXnUe4|~w!Ya4Rg~4ENH$LSI31TnJoy`ha9W3|U
zCUHOQ>&JlW)|S^*ab`<Gx?^e8t)u1HDDYr}M6mWZ9gK4y8e7%<7c**>0u7&39q7=9
zORpq8(2i|wm8bmK@iohZ+ODF1JLtuh-=Ef7I}8)Zem8~1FiT5$%dJlR!Ag%$2Wh;T
zpX-@-4AgJ1li=MVSR0YbnE4(T)-HR@k$Rre&@Qxjqh3Ht-}b>~ljp?7g!u{Ajk(fh
zcA3%*;R&NcvR%8WX;RBT<vsX7PQX9XwZSk^+wT@)euHg0S&`G=b#-d}xZ^#`?W5q1
zQd8~cIDwLEk2{`%bHPBqnD^srehM79SpFjESZH6Bf)QRkZ+Lmj!k+#&>-o|O0uSgJ
z;-^N~>AO&-&Up+v6E$Q+c!w^Z!<!V=Kw=*4hJ^Nax>B`jhO-sz9xEO!N}yn@+xdz-
z+Qhe$*_74M)U(ej4Ufuw3SN$%)l$yXvK5M!+-YWks6~ZWCmwfj{8A+6tE{tWSZ!bZ
z7YGd{iBF)}meCnjn<;L0fP_3j1=LyB+eh9c8Lsoe=~Z9*lY=Kt5gIxSnYezMv6A7P
z{no5sA@sQZdThbuXZuRC6<d$x5)B3T4+8X@liW{p4!mbQ=4Lut%csvGE-H*<g9vl^
z@<m;?zABzd((~Jx^HAp^h6cs;|MpX}05t%OfHyFo-Ntn)w;t-<^DtGf-XFAGhTa#e
zqDoV0rkzyt`d1%Vq(+c+C(rPeUzF^p;*oV4JP4(iOSg+F&V$0Qb|0Cm^oDe=St|$|
zeL9#+UwK#`esOTFPn~|%^-?H{B<DxO`+Y;B+Oe2Ygg(y-(=+ZWpz=*>{qt`l@_sDP
zXDXF?|H0!8p9PV#maea@w;3nWng(up#Zn%eaNV~dodo!OM*i()VMbp+^!R=keB;)L
zF(RM8n6N6n?8*(Z*-=P^j62LG28E^>@XHq!B!NvM&LPB#XnQ3pwh^VprD?Vw)*FWV
zt01b>LOiR9vEk2~3fG7D=C0XssDU!h)11eDoX|&AKq@$WC)<d<^d1ti)>zdRfOkhR
zcrL~(YcMiG12<j}C@0gIzxu)WHE>AEk}Jg?Y8=XxTYyM~STv~U9t~6&!QM}E8t=;(
z;E%XguV_GR*>(9eVk0ih(&uFktjZ`Bs`zUcGekUGwtda9O{_0~B7q>wYtSG3{3wOu
zmn8K}E`>l@*nUR}B>EytHG^&=B3i~d+p8;2&5%w->r!p2ZGRg&6T=S!zmhWP-D2>M
z{g0wVVa+p!GC?Tj8`!Ypc+1G12CnjihB7@hlJAJ9((EClAL64AHNn5~`z*x3idN1a
z-(a!A=r}&L)wN`7dVkOVk1c-`XZ|gR^`ImVwMf_UTcd`uHDmB+>0cEoYD^@Aw+5G+
z?GGd<<%RKhAIEkTcHt}cs@1m0#Xm4x4#h71UY4{ONFU17npVoYyVTOMGhWFhcN92G
zZ1iI=%j^h$uIcFsR{6JnQ#AOt9eys^AK{~fqoA=r8iNNmytA1j-==C>OSLRhKtxpD
zR%t&NSLW^12z)QB7yFB>@y@vP-3fpwSC%Y83g6bA2lOVQhbBNJ8DrZO>t4*(*q=<D
z1mVH}oX3@07!vS)-H}sEYP#J`W-`cEul&NSg`-|gLDxxVy24IR2G}SQZISPvy;op}
z?^kgMkidjokjXyXq~>~YWhwiYRYZ{E;@*2)p`G5^av=+GBs>wy03udq(7t2SUk>e^
zpKZ`!zzeSDWS#ng&Hk8+-q?8sErc;swlWW1LujiCZbJ7%EbU0}{4qdZ1$^M>Wz(A7
zEo8f4qobpiV_5U`{h}Npm#OYt&nYA~zR1AI<%Ma9O}6Pn!`ktdEPH{ov|)~82xH6)
zVOFcePyYmMCxmg8Dgo9PLS#^DAE-&86W5naE!WMs1F7Q<!7$y#DGgoLlhImo=EqdQ
z{;Om_*)b`w?*gm5(1KxOYk_$NEZ2<}MB9UZox1#Hx9y9OXDZ+vr2?dL8D;U+k+Qut
zjB<xyRlYQ)!FRee0EXlGC7I}CBtyZRucTITYB!>SHijQmCY@=N><gxg6h8Rlk3Y%%
zRwN5YP4)$kyB4?4GLf&E+jZ|Wrfk5QpL%mDwD$FK&xz(`wW^x>KQ->rRy6?z{}D$<
zQmg9y2cz&#f=V{*m|Z@`OqxDf{+c=)R=K4MMSNvh@a=t^Qh{{Af8ELG_nmwl(b>%d
z`K~8yEgy5~r21(_?JN=Ll1tvC?Jg0eOa%0nCiN)@(|W%$Dw<Z&wGcXhtYF!`TMqRH
zmB#SbFy_AO)Jn<eqfZTbij89q`bR5FV#Q_9%PC`$<uJVKO>6ULuQjwwCDd@WEfWTj
zSj%^Za*?`Z%LK{+%N-2#z@f!_ji<Z!B$uT-c7z@<(ZD2)nODMi_lbBiZ9weH`<Eic
zZ>j&DhCB_OpX>Gc0h^4Ws5>>{t0#;3GbkcyJUsgmxYt^t5UY}`t(|<PgFFigX4UZR
zkQqN^WPw$75{%GbR|Z(ds<AOaEI!fe%)K}WkZYCuu;h=g+{r7hMW3k!gW6l>W%(&s
zUht-jQ2$T&dL@3d`yppjK3?iqujD0T>GK8!i46=HQDdYf=Vb7elkII*0SLi^>uOp6
zXB`yTi&Yly6sV~~s4~2?k;7AI;90TAWAd5vmA}QPo}rQ~+YakNComb|@vCql@-oa(
zQA-5Z&MNyauA*Rk0WUT$TJOHo{3zx#dBMhKI}Z~ZrwKq9ez1v-R2HVK;|WmGnFVBp
z&2rHBg-b3Bb6!@d=DkhL2Z7n5;$z5#Yi_Bm78g*w0hGU!i967(sgqzG@RmO|>lN-;
z)<^vpS6@q#{;{rm1wb`FBeq&)ujOoEoA<-dLfbcw=Bo-96*Hi@S0!NvSA}(NqPiD&
zOwH+4q{mP1XLV8P5PS{ndn`{ZU`ia`H3P`9w}#jz)}oa5pmSHC2V_Hi#8Z_g!3!!)
zDWB})0d#ZrVTSI2ZHoyIODIo&3(ft9e7yyrtej16_)&pw*W<Pe-Hs4O=MdHg8OVn?
zA_H0|&`Y_@h8J7HVHHGACzW56p}4#+gJ#=d_SP{A65B~YZb<R|$r2Bs=n%BysHv@N
zrAR;5IW4?Ac*F>9<fdf;w4Ed32N3OT@z?0oT8vk@?#(~bY!l#p{VyIqiU)KF|F}M{
zIULjI2nLnQP3Ya|n#y#{&jk@p1#}WrGrNz!w$8&#l#K!umfYzz#e8QcK}^C_K7cYm
zC$2|nR=NO1k{z7@7SNGaw*TsA<-Sz%)Wj%#CiGX#%Xoq)F(bN%Y<1jr|MsBdfEn6s
zOqHa)nhjhCqtKC0f=XIh6yhM%iIXJ;$bM6AnenLmnD)@TAK(}=aBhYv*Y^QZhgw3L
zsfu9N<tz4dX%iUXrX>B7)N>2jB{s*Oj!ivHjBg&zC<=1|b44C|&Fih({7|5-82`_H
zzhU27K)02amM&D@6D=vPpL3!o*~%w@nP3@o=(UOfJn0!U(j=7WOA%%5fd`Z+p|1+o
ztM@aK!8-i9Byl^O9KF1C?eQ}!*gG?7;wwk;Tv1uWVU35B;|=ZPQ=>m#96;#9AXS|N
zF3WpiyfjcpqqX*zf6U4HcgW#u{_W$vj9p-D){T+<EoXZ+(E78Dk<WZgI$ZP21ot}0
zCUoeSIsohp!8EAErwB{n3AA5M4C<D$%pZ=#(#{3M&iJADp)7rA<jzv$K(5T2Re(?3
zJYD;&wUp2cfO;^V$bIwag!j|Ss-RRcknsLD)8F+!PMp$&VofSu)BbofF?Rlvf5}9^
zHv+?8Y2FY05!TgR$=$v6vbC2(CM>B-CvB0em8qdj;Ns?o44LmkMrr25f4wVCdW;pg
zx!6gt{6pv1w0kQuWFEkoxMLD;+VL?<KpR7<@V#C%JJ~I0-TcR$67rtyccY4R;y27y
zo!9uUf%pXdE278eu9L?$(EsPw(K5ulfz}NS`!FA1td0%PRDBApz%WZo%kc29FdbYK
z`3{b-t*tGc0G*nr@f}N&K<ox^c#g-PX((_=WMk=L`Fow6ooTTG$uxxK{1Q#MGo++u
zr|tL^mTlMiE%_Db2Vw$1*!I?4SsnD(Q%7@|4;zqeRi_D22t%Kn;qyZ|0_Bj6My3=}
zzah;tZFxZH3*YRh%08(Hkg|Li$R~OLdEucexf~jrrjZ3XIX07u4|>0h8H;VLw7Ixq
zjGQ+hmJ`NfN*_9v{t~21!lS?Bb=b$`<2}pSQ@T?1ad9<PQs6J@@S#<Kp>zBcolPzp
zJb`zil6%>m1Z!bd@3g8IT25p1NO^lBMrkzsrM0R)0U?+CWXFJ<u)TlXWdZ((P$WPk
zbAHfYAjOKz&!X+4O7_W)=qwh=jIS6OGqq|zsE6C=H&>3m^w}SIh?I$<uwaCLd-TVN
zprBpT19L+6=Eju8ZW=t+=dWlHKQp&PZj=O8<AV<01#13`q@W3>&>`?J$%`Y<gs%2~
zk`<<X8K(p}9c9FrpQM_fT$}q9%2eia=f*%!WEFui-<?EDzP%QYBg%71QrXUu63V0i
zqMM=XEXM@C*03BlP)6#3ZMnC*SAKVM-x5(qIj|b|uSCmY5CDSY?)J{evcu<|PDTT6
zM{6mVB;Zh{!R)sq=m@|X6OW592h5f+@$T3E_$0g2#uHNHGVf_0EL(`4+Z4l>Am?BL
zD#sm)2_Rm}TwwHo+Wyo$!wlZciZsntp$xedT|bALcQ-L|mB!Gg0n$rNYBwX}`!G4m
z0nBO|m%*0%qZ^<0=<%%W*DrW`u+$6p|D|~!KmHe}y2g?7Emxr|S%!`CQH`;q_?6TG
zdUwN5q_7a5Ubj?I)-N9?&$ihI)+4AhMcp+eZq_RBLPv22JQ)d))4UhUQP_TGO+x)&
zG8R(42GSYz<u-oIdtK|PhA4Y;QM<<Lmp1RQ*=tvLTMS@pkb>pzb4uZ-6VU?3i0IO(
z>N`L?(51N)4bC5Z1>*G8AGA_&j6Y?&P(56cgZS}(gCsj(S_;7iZ@6^PbhAx%>Og02
zyFRQwA-72ue^@sZ2~ahJnH(_Z7<VOhIF@|TXxpkSyiRTCrAvZSAFeE{qNkSa#bW{O
zpyf6mpWf}}W^XkQ*lzB`SN=rE`>W16tKg~tn+R2RGJSvK5hd0s`5lk!#(H-r0j;+C
z@$hK%%dY7gfWB!ThSoW^n8<d$tJPwacoaEbZ5TYm-k7sM&1*eN7+%;7)_$Y&1{hUj
zE9SuZm!Ka4u2|&b6Yh~}^Y58JN7G#rWt_6;%`f&{*wHXw`<|YNG!Eh#{xj|k+#M@W
zDM1NZ7|L<Id2O0!s6PJw9jJVAfQ6`6UGuKQF#2#TdWK*jpVMt3r^fpGT_EUZEvKft
zE-`y7iNak5;oK=Mi$~h+8FyRx!d<SG0&y{1+F>JHDBkciDs)+^@gd_@FmkrFnak=)
za4$V+7c#u8@wWBWr**5Sn9<N{b-a4#*wuV|7+#R&efh{`E1UIiaDvf53)olCJlr`C
z=n$Jb*cmmqtuuDHI2w?*Z8_1HgW4+4679uqOomNE?8&OnnhPe5&wDhReSVaokGtBc
z>s?$Yw9RLhuzk)2L)g7%6PjEFXc7!>7SwJ5eM_Z6XZvNtwzX~P9^7Q}Ts6L>ufJ9M
zU~d^=a9iaV{dwBUr*DYi_kdLyr}^FC4!X-FDa%z-mrvubOpjf+Q91pe_x?_--fIRV
zj>NBiYRgw^GdR1VELt|4DdO?DXZQTwZq>kZa-pRr%%eH79s`4VG?jmN=zl`bKC={B
zsi1U6j|(J=wZ>=N`~`>Zh1=8mT9<9pBG}|-&!eAd1%pk-6AI<i0UIY_^gDm2ufKo+
z360HGczk4A>mE|IZG8u10mI8+hyCJ|J39ZRqN66|6`C6~?k!+Up}%~o4~V%gU$7Ii
zYQ3JkGrs}x^BBI-0gpaK2$k-c0tC*d%~2LBZ}#Div@ULo!Rr9*KY;5i4!Cy?6EK$7
z%?SeC<7}6W-)>P{Lf_sVo`a5_v)6i6mJQ4^=UiT1`ZYB*eF73dR=1jlh70>1{1neI
zf;+(Z*0MMQITd)%G2~->$b)DDK5Hiy8sMumv@gl-mp3F`?7fzSG(@&;$zjPG$t9Xr
zd&)xguwv-FNqpiUuWC5tjIiW$UdtAhmy`H#`H<LmwJ%k`Oa~HUc}u4w>;+G#bk2XU
z0Xw+M0ET=8YM1ge%eG6ODYTYsF&-5IxdkO>t?!CruSx#kc(xls?*`U?hztyN-Cd9g
z?XMQe9x^&l6t4U=3S`m6GM+72K9O0n^*%}~wgtLjS{074NBdp!ucA)>4q;!@0{KUv
zN-~{DIqh1J5HpbVe7$VE@oc!oZo0<8(&OywRh}jAynyB3&jr|R8HzR-%n+)dN#(J8
zFz>vsAAM<*Wm&DBroje?)H+|k`(JKm7QZ)Sk&T@_DHw;8Eaaxp#uq*3Hoei2$_5yN
zr!FckuD@Aj_nBJ%$%H3qeZId`>T|t9P3;ADBSB-PpT2aRAVEhiW~vVVle7J#|2rJH
zxjflEJ74bMGp#San7RCt#;7mgxHf36#J?0Ur_n+PK1(sryjbG&ikh-g=bhQxrrxmb
z@9&RgZ11hJeg9X9X<UEjAqBBV5`>;CSqS?ovxu=Ja~gLm$`i9ScCe+qygS@jI-7G{
z(5QEL{r6Yd7eFv>-D<q2`&~MOvodmZ$~^1lW+j}uZN^%P+idt84m?KS?t3Za&%aag
z?=t}-OIvTan%+K7ZW6n@_+FkSW_#OWL!J(drtY$6luRy9;B5WPsk{*Ty~`e;v(znG
z<Z!Zj2xNP-WB(366lg7oNcUX%#b9Hh$G6l}SKfO0p?ev%`Gn*|;?MZMpTzGFak9cF
zSUHUgIrG+u)S!XEZs1rK=dQ!r=UkatsIMwN!{_#5eO3@Tkzg~EDQxOcK3=Tpv-|(n
zK>d3SsOvv+q}Z9;YOlYp`Saen3vTAi6~NAy!)?Q4L20};STlIA+?_?ZzjCwVT1I&j
z12@o~QUE)hwzO@k^}qaUwL|^@vn&4wRAd?jzM2iDbH3di&ASV6+f&;QyG$~0w^#^8
zC|`eL3k5>Lxs<)OyW54iX$h~twtLO=Nd?Ygr=h0ilnIm-Y}+okij5b%uI3h2#g=Dx
zmICRXrwf@6r<1M&5Lebo)c{m5CxEkTifVSB<+JIV6+T%T(<s$BN!1l91pUo8ETC~c
zhaQm^__T08{`?jQtEI}GIClXplUOSMo6_E#wqt<?BDJf{DBXv%9bKA`1F1<9j~foU
z$;mac=BB0owMIH%&ePvm&}OzF3ZSpsKN}s_jn{@#ng=aN%F^uSOcy+lhPvsZ_}^_$
zRvOo1Q;Vi&+zQN{#+w9B#9r`QO;*^9<ttoGf4!@8=Tm4h8XN#zcg6o(Zx*0OM<#mM
z9T*}&&5&}UOn+t-c&x(n`BpEF!t88uz@)f=?#r#KQ=~4R-QqXf@BAwfl)&h-Wa*5J
z2Q4%Zw4Uxbyi~oLyejC|BTZuX;sS857oTUmb434mFY(*o!C)KbkZd#zAJ#qvB<Jg&
zcwKCG8SoG5>!0SbP5yndMlUuHz%_Cz`5ukR!&wB)YuP7pJ_3!%fxwieYLH^J@gvi}
zYU%KMc5pY^NW*=xc9AIK39psb`{{TK3(%mwP<R5+)gAx82YC2iGXZkEGv1L00quJ2
zBY;8Hkhz{Tv>5PXk8Gn$|GB;I?C<Yg87C)DoijkC&4GJ{2jP%5ErdrU#3u&O%e9|A
zV1L{G;D7u2_4FRbJOyQgRWq_+G4f=nc+fL_vVCeT^z`o%uYm*Hrk;V-rDMWbP}~{Z
zlY}e345bS=3QsY|Anu0`|BtAMQvnDt)FCkhN#bIFhROoNlW}aAdo6eKv_R78Qk1~+
z$Dg}?6t@HX)dO=@hyJ+7SO(lCQ}$w_yM6_k-bL+fU#48Yi!LAZP`hSqw3kx<OD_cg
zxuzIrXtJ5U+3)^#f}A;nF(nEgl#tNi!Qqd>D*imNq4D?dG+*~KI|DPReJqUstL6It
zna<<*XuFscNqEec-BDAi+|9+(7=}~f9NHw4N;zFNy3Ab27Ax|lu5!i2r7tdOk`Tr$
z-|ivQ!zpxU^Cd@FTOz{Ez4o|m+#hhif8L+>=k<EOzC7RW&-4AHNyZE-u<^_6?~3)5
zX3w|+95gEVNVf}SQ?mJ^*V7ZD-+SBFkD$WO(6(Bu-Gj`9<tc5!mG+1G%MRSMFYVII
zRGEuaQ1fG`Y-vCRiiiDvAjQa>7(Q{aJ?dLsQ@hdyAd-q=k1k(QfxO_Wei~XG$75sT
zP&Y79RloT6ww4{EAs)k$ESXbr{Z-a%h1-En6C0K`XIUh*j<$J9KWLhgc}8o(mMI$@
zTXFM&I&>c2j|AC(h~s~CY<7A-i7)0OwEhziV$ieD?Vt`{#JL#MYWA<o*%#BAVL)%(
zN%v{Da?nv`y&Qxnrt+g{6?)``O{6Rn{H^Y);ugu2=Jq}D`~oeEvSwxftDwQjo5U8e
zDFV9{ZvExa{`}z5_amK-u>-=C{Hmn|t`}}2=Z44$FXOXO^nl5oirQF%Dk(~{u`B;i
z3KL;zdk^M!ZC)NCYZg~~yYEm7m=K6mhPl$_s{{zw!%iA`vCb4EoyB531HeD+C;>5-
z&1YMq6K+eco2xSR6cfq<|6p&4%`5OD=Nmsi{nuSJzCZt{!4{uz)jgqX^;jxA#`)5m
zFyy^Oo2Jn{_B<5`DYSC<E!&r8V(frcl|_agXnyQQdm>}JW!nw;THYfO@dYXY5M&xG
zT0yEMGw(O|225dFh$Jvz9hrR3k~rK^B=lFEbNGUp9|`yBrZ?uGq@`hxU7^VtSIgU{
zcKIi7pHAwKOi7a#=8lV8t}jAS5yaVSrh_x4HM{|XIsZZOGDm(;;#}USUmZ8xWad0O
zTKMxvLd>Y4(r{>#dbREJC&aO6CoP&UNuZ_j2uZ96*~ByKF)Wg9+k&F0w-~0o5p1Ie
zLVd8%v*&AV6_mp2fNvfkh!$5*i`%(=WDBLw3Rn<R$IOSuSzAAiBYL7a>W=0FRdP!E
zySm&Iar?Bs$AZeqNs#X&oz%nSIK5hvri^Aa&e{iWI-$WMP*TLlItsJul--^br6{*|
z-=WV{!c7Siw1cK<8TLbR8~Hc>pP$;ZR-q|VX65A}$C7-<SKF>|>w_qF2qd}(Ug+3V
zBPrOSaw$S9&IS9cEhrB8dNp+!#+Q9^Eok;h5dKKV$)@z?FiU&wbB|6w>1@fcs9Xs(
zsbv*SW#Dnk>;M^b?lo``=Sb2<V}JUUzJ#VU!{DnJo5`FAI11y6n4JltTL<1f!&#Um
z0+Wr7+N5gz8hTpj<cp!i+b;_@<cZ)XRF2U;MuQHy9B;akuFHL#TMRI=`^5`se<eM%
z9b#tH>Bj?o{2!*DQz#T}y?pj)VRdz1PYsiI9{_6VW_?NDLww!*L|cKZb(eGehjFhO
zrZmd<4FF&-V8mbE`!I4{cjZx>Mc2*r8D<gCqfuoxl@60n-O|H@oNfSI=RO4XEq5yQ
z*_Zn$FT&t{2`AHWr0UujHq6nD=JV<IXk}2vTqW&ncv(#0xm^pH9e<nm)-12nIvKTU
zYsB1N&I>GG4~+XkbvR-7yI>^)pA`qvo}!YClXX%<8HwTHuR>jrst`pW*&c!kJ0h9>
zG}R_fp0{26dv2_>KY=3K!SP&t59!c`IF!{H+U`pMNFOuC>uxYFQSY=m3`y7`B$Z8Z
zNE$qgi)D>AaODQSX9{>v3>@IBoqG%vV1h@2J<=CnD8LEU)(Q`?SdVHM1HwXzQ~d-!
z(ZKpj7IIDC`LkNuUrj_ap5at^kJqd~(#z`7OM-XhY`MhM#jO9%E7zWWSqF{20j%WK
zKWmsdckbL7{@U6~()*xgeuLZ~?0#fqB)NGT?3lh4)g_e8n9Nmv+%<VZEYNra?zWP%
z#De71`t*v%;);sr^FaXt<iY74Q3`KRdOv@VFBG~eV9&zZxsdrayoiwZ(^US9eEnQ*
zoXGYZha5U6LhI;c^!4rCXl-qqltvk6zN3|#6#BZ=GGT@X8C1eMsZc0n`1zd=qA$q*
z9;t6nYUB$CTJ!goM})~&&sEO!-U%!&odG!KQ|O($ZD4jbz7Ti>hexY2%^XwTynaot
zX};fLj-dg|^>cu6wq<W#^<K()tK968@SlnI%C=eV8Qr*;Os7aI6(FL)h10g^Y6P&e
z^lDG;vDQ}A03cXpbD%UGXFL^uv1Bv?(A3s^!<}kM1<W;!RUjNwyQ&pSMhgHWwH-;h
suyhi_SI|$FFW23o-f+NZnfAQ1!RQ~8wi}QaKnxDy<?chi=enQ$4-&r5_5c6?

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_static/images/DataProfilerLogoLightTheme.png b/docs/0.10.5/html/_static/images/DataProfilerLogoLightTheme.png
new file mode 100644
index 0000000000000000000000000000000000000000..35e59c3497b6cd5ef9248b9e075b3af25a7779e8
GIT binary patch
literal 118089
zcmeFYby!r<_dYtLgtUaxEjb7x-6b8;HA;wdcMKs?(%s!H-5>(eCEeX2T{CkB_4ECH
zf4_V0zxTP%b1yQ_9M0MM?6db?>s{}=)-gmyNd^n!1qJ{Bz><9{sRjTb-T(kdsA#D0
zGeN_r!T`WiBXbD}6<G-hDisIYkLFgU0KnUjc&#Ve@3csTT}@)D5b>h$uJBC>M5WPK
z{CyR~)Wz}NlDuL-CgjmAdA~#xN>Cp9Qn%dqmtU|mQI9owkDpvVQE8*ftupGTBasZ4
zXNKcw>WP=Y&Z4I<;DY~_QwO00M>M<kZ3YQp?~BZgE*fWqXGw_6b^uf_Kk;7Kx4|e;
zs5>2#2L}MvVXZ~=dT0|A)UWbV4Gkd5Nj*Zuj2wvD0Ps!3Fgc?E1g}Ne3Y5Ps_-+&&
zzR4jPY*uVnfeO@Gv%*@gNRU<96kkLJB=_zNIwFi&2Y6{#QxVUPdm~r3sK1Ox%rZl^
zuM!<17EgQnJNWx|CT2k#BgU7&05{?vhlfC`ZRoJiRg|}|h%1`qnHm9~eohqOso6tj
z{_Tpob{5&i8sLc{YowC;7LKJG7g+8q#w68o^vAxQQVXo#dLb(BTmdR2+RxK-qGg6r
zFxbl|--{ozZwB>=T4CGg)l#u*4vvmQOP*1EX+cS6XIiJXbS4gYh9|3=O1k+Df8&XL
zMB3o^{`C2lMF;ck8&e+)8B17!_7BopSczm>8tN-Tz*k*X+3)~uVk259AGNR2s5MM@
zjvJ_^n*)*>4=%VhQWHfS;ohuVG8D;0@ri`YsOLQcKkyCHh_nbpVsp7KyIe4D_HPua
zY;a}ym;ziRLw{EXG@(hY;iW8AyF|a1N(H(oYd%XTnmURnr2DjG|E-8huBX9oRzWo_
zZ>mRzxNEq$I<jvd6hDUBeqG1?;T3v{+o=&QW+N3@l`npT6$i>Df~=>qG0sE2P6)CW
z)srSs<i*-FvGCWIq0fY4MbU4NXz)~??gbWWNoA3oiD27vEAvF<8nS6xZU*$>68n>=
z0KhC$x)ap4#jALmZ=q`j0An^^iMlIgiYE?6b!1yv1_{eqbg%qLl)f@Z<EPtm36kLa
zFka(&hOL|yevc!4uaj|_G$!UI+9<tCx0u4p6b~jG)E+}WlCj_#fpQuzBFtZOb)Qmw
zBG>IrZhUUn-Ih&>O@SzMFUqb(+Q95O-O=y(G5}~%5ue-mPGx{Y?q$!OrJ@0`K_)dz
zNvMwwrDEBfgvJ(jxz|zVy;ORjUBs;}zTRi@A4<lIRW-ACWq4Ip8`=ae2m&SFB|LYd
zJ#er*<kkCPagN}ViLAUVF3J1eHqy2L32?!B7E(Z5j7{PiYV}1whK1e8epO5K$GR*E
ztxT2Rl8_KU#rxgs%Hl+Y%Lc>`8TUhac4)p?#z;s=BHr6QovwFcGHyda?`^&c-;?z<
zK-wI$%0L*mp#CLQXM-PwplU%U{wyM6QZ(Z!iXYW8N#9pg6m$Vj9O%<JPp@mp6p(5<
zy;M+{I~}S}%buimy{W=HM0p}g%ZsSwo7v@Vhpvy*um;^j92Et+Vcp>&Q&T&A_DiDC
z3>I1sb)&JOBMA{Tik74!?-zH#W6F{INR1hVVM70nVlMO-jR;jxG{H}uJfx<;MVaR4
zj;QOGUnW#&e<3=H%4A!`1@vb1?@GQVP7h7U!W_^4M5r5ZEJiv;u<L&DVm?Gz;-15I
z@4dp%3&-wR65_Bv&MGp6h~ch*YPmAh(!P{65pR@(A0Ab%ym)4-tczI3Yo7#Bh*#hJ
z=DWf75^Be^?OZrzx$$l#hDl}-453$i1|UXqWJJj)Nx!63$9KWS##8E={3Ye4NQa*+
zDU(Af7{2#Ia9v>?e_eWA*a)*a;3jHTh9+7;wjz&8O)x~6nI=AZI{GRqB9=Y2`K@g~
zzX{7XM!uLdv4j};{`k$MP2<hMO~y^1P~n~oe9@3XG$yW>gD)4DhU3EG*yTi~eD~jC
z<uJTEFFG&Q_~o(Bv`@Y-PfkuwN)Ar9=f_WX=hxuBcOKbYoN<@o%4-^HtW`*fsgJ9V
zofdDA@{}!{B;U=xc<O=Y&D56Q6XO#J)lAG5P)jUi`ITO(SH6(tsdL>#AvJ0knad+v
zDOss@lC><=M&TXW9w4lhSt%mZp$n^mVnKwFzW4=+wTfkT;Rh_Cnqg(Uh<Qr>l=f-h
z7fh^%=NYfPes+@7KV_Hb)b5-e;qBSwq<O*j;`i6HugqVsUeu9Zz94<!Nm}?qnWy57
zu*G8kk0fjbiW=XhukOC?>9;;fJscw(<5fM~`#}a2SG^{UvPB_3^A=4q`?+JU3s@)7
zCcP#J3&IOrhwZqCYwSNx4!ucE=RA0B^IFiZ@x9yaDN;9>TV~i`h+x<(#g?n%{j%8y
zb39Y(8f`QCiJZO|^XC@HW=->FNu~{i-ORIcMs@T1jZ-JA#za9Hoh3$f)gI-;<+<hY
z)9@83zqcl{R<n|`zM5OC%b)*d?P#U7P(Ob)uQL~3mujkIc3mpelVJ_42U&vWq2U3!
z5-Hsc*x}g9<cehO5%dwx5w2;wO4Lg4(k;>|_zBYIMs7z)(}7J{?859ui57`r6-A|$
zr9Yf=E&I^Eqrvbd@VIGh8pjuTZF+2+ZLVcFWqKo6$>(^_ZeO;jKF`(s$}hAZ+Y;&N
zckgn&K=FmbSWr$VMF@K4^!u5crl;X$j;EBz@TJ9>$J)_8+u8D__hir-*Yu8Fre<bj
zyHC5ripPqLh(HHx2bK@dtn?xB75>$8us=8nrVpcqo*;T5g(6}jKRn+hN}_BOINkfy
zH=Z-TAS3eh8~XYaYpngJA5qLuY|)ROR%5RP{rW73R)<CS<rvNTyZ!d2{gqutP*YHU
zH+Ep#8mgU{qu%%G)1uR}(<`*@;JDyRylWb38b{g#8qZv>oR89Vk_0)%Ia-n{t2(F1
zt-6LMBpt76`f7W|jAD$Y`vilXL*o11L`wBVJa4f$Oy|AlHP<&54BqLf4DCo=P2%8Q
zE42S%kG@gTC!}=oHZ9(bKP37!pSkPA!DiK_X@A4JG_^RU@?wwT<l?$w+llX!ngz}g
zl-xd7H|KjF_hK#zo~lV(^hSJbN5><WR@fc5=w}^l6&|-=zX&m7Ojcx0a&r2%Yy#a3
z(D__eTehS_dGq_>g%9Wr&{M*t(w9Y>#f{-9VFi&(n7<^8l(K`rgXXs2FxG%U`~n*`
zo>r(QoqoSZe^~2o>#)1+*~Yo+HqNs=!b281;*W$B2`}W%^R3^p7Aj;;P&>xQ_wyH`
zDj0CpX;ILwWQ#r{AXJo+K0Wgh+sk{9cJJVAY;3+cs{LjDq>xl0QK^HY+q8H6xw0IM
ze0yfd=(8cKbW<TqXxV)YUrob^*tW^2dAg;5>)K+4yXv{iaN)>kCQQEAb8lcm3v+_#
zHLzBj*LJPjHmALqWs)s6ap~sG>B4Z>sZ@;AQCJ&MrQSoazP3-r_qLpG>)rTWF^((l
zURsw+ofB#KM}uC8*1Agi>;^vGQa?itSg<q`%Dfsa4okjFl}&Axg36Oyx2^JBx3=qk
z)eY38YgB6}9vn`yfv!Kaxk2jotM<J~hj>_*Pe10`ZEPuKr|$FUSyjwF_=K4Z4wtLy
zky?;hFgM^e5ZZdS3OV2Joy@Jw9CIwFR&Q)5?Tw5WgtW|CKrAd>Q%?*vgQl4dny*cc
zn`(KyY~Qu%L8iTjyb15Se72w~;GcJEcYaAo<xl3G9Dr+K_TALI*=MMEAEYI0a~rE`
znA(arPLsOJhy8|wd|up6j?hlaltjLuG;sOqVYOE6w?W@`uWQ04#OR<bXqCR`ald&J
ztF_QuSC<*e=e)i1GgCQZJ5AV!VRtCH2Ehy`(>T*o@Wiuy&3`mdqT}Ylp=hb0Z7pY|
zr$8Q>m?9wUO4dT=aQh?vltl!zWgrA*JJ#*Hj62}5HCf(mWoo^>(CjKF?jVBAgFTnY
zzo(zI+_|!xB(Id-4&OF-r?;oeoCK|OoKo#|9R>LZjZ!dCc<<`oBtaX`LZ)Kp3p11>
zon%}<ci!Jm3`R{x?>q;f95=?@j)glS(C2qMfy=+!41k+JRH*LR#KqQ#)^erpJ^tNs
z8@tyMtl*)1Z^7VX_C%>e*%Ouro_{hCR1!HtnJUub)y$>B%R#j<c)MQ;Kz))Di_{4c
zK*%aY>TE<l!6A4pl$nC7m{}sdD)K=QRKx%R?62iDS2*ecW^sZfikj&WN=iK(UW&H0
ze)*E{jL$IRh2HDg-?+=zPg`pNzQ3M!%G`E}!g~GuBCBM2Y!JpcH6|@fg3&w!*h&nE
z7j?PqDQ-evd+!qS`3NCtATO^T+=66Cg9p1T39jIxBf(T#_M@UAfEj*_20%f;2Oz<Z
z5a9m+2rmFAe~tkFIRw)GI#xq?`L7KkT(g)1kpH#Og?~T(M8QAs-v7RlV!i;L!2iOB
ze?Dg+{--tKO%~FBj*%Y44?yglgsd$5`<=0asi}?QCtIiPNQN!=33R)+I*tGU5&h!_
zK~|0K6t0>a&DFJ?v=tTjjcu*jKbY7WnX<cC+dbX~An3*qKeRS=`atDoZDr%g?<Pd^
zrv*R!`0+H5hU!lfCrcq3ZABF-30ntKDsJ}I>>M=07*teLf(|Ah`PC$)|8<A|B}DVd
z$;pl%2y}IIWq0Lbw{<WBzT)HK19ETzIXT(jE!Z60ZJa*1vDrA%{=Lb6?jvdHXzXBa
z=VWecL-lyy4@S1mPC_&^j|2VJ&)?@Xbu<6(k!&3QO$$Cj;NunGD|Qax|5Z09^N;^G
z-5#&}?e=G0e}@x%ycxfSqp5?0t+lnOjg#<yueji!k^Yy9|NWeQJF1wwnObQ}n!|fK
z!sjH+^M>PJumAnZ|7A~||Iw4@_5bYoKd$_bo{v-DS9UOmKj(+XH57g&2>d^t``_EE
znL659IX^bnurYTM=KR;?e>?rJmmu(QTmHv3{k4HVXW>R5j3Eg8FM|@sSW)hQ+qWn{
zR#Hse4dJj2GfQ8?`$S|XIyMUTEiR%z-5N8=n2}o?Gu7;Zg;-YG^-2Me$AVt#C#-o3
zTPEvT$jkzC%WzfGnk|wUS{JI$G^(i{rG==i{%hJ&O2HrH849zwuc)Ef@k!IP?MX79
z*~bxukqo|-^t3j^j=E{X%(knO>jlfJ!{VtbKLDEV|Nr~{)fIS3?iZa+s!I7py>ccw
zkt_CQrv0ieTIg!l*u==l$i&M_AKKg7EA4X@oB7q@CWpAKsNQriL3LjG!S?f;2-~G*
zjWfRCg?j4+4D(^~=X2G@eMNn2WcjU0^n17GJA<!|7Mo%R^RPEgZz>F0q`CQM99Vz2
zlO>!B8L&s1CuT?S*nBi`a8SEDeI1n6XUZzMfaZwqpcXxurhGKRoA=620Dp&{0r)L#
zo3pfg{MQqNO)n<!cCwi?rN?e|v{vgnA?rpTy&!MEo9J8#(tLhyVMeEjd=Q(`j_#S)
zQy*5=L5RCR#x|6#L(@X}a}(upWP?i3J!SrDO3EDpAW^JGemyTJLWjnk(OP@rKsGf^
zYae(OtyiU81I@uryf=5&p=gL?8#qf6vfen)i)_H<-=O<NGf`4bv>v0_$0^&FD%l$D
zkc9kFyf2pJvp=t436L><VY}X|rZ&TF;3*_eFmcPLRnc~IkX6CCXh}BVl5KjcRYhbf
z`>^?X^in5c;j~_EBkpWWX&v|Mv;3#9l%&n}^u%j6^U6MmTUum)gmFwIn4d!FoX_G@
z_xal|rU!YB`64#mgN^JBU0bZgXU4kgi$H7k!JODU@O~b+(e@V8+OBCcSwH5|t8&n}
zv3=)UY@%8&#YIi}n}d}g>cox%HgDuXG+R`)J1J}TWvie2`L?1k?BU$`n?Q_AGx)4&
zC!^HyC+ARN@95GrF}ptR?Pjd<^!1{n@`qmi1a<>{S#O0i-UizhLy`4h+C0!PFpXHw
z2nhj~L>+Ms18X1c&TcV}^1AtY*%NdXZtJzt7)0rFL)<Sb_&Yj?((qxm!@Ke-mr__-
z+Ggf;8>i+sB>W$Znl)r{pI8fxYkI!1#u}?Olkhx8H`32{z<e>dH!D}oI=HDF$KI<b
z?N1^DQ=lUFrL80r`u|YV^Vdspzp!~%edj|7Ss1h`^ly8%1`}7re^*lY+^k)996MLu
z+c%oCxCA|WL{jy50N({|Dvzz9&t86F`@sd55)7f-X?H)oLfl+m(8XXp+y1klPI1g@
zV5`G(rXh8Tjl6ktb6_Ij!rH@PLR>cNM|E_(<IqqiDES8;@kSE35t;?ow|$LS!|n&A
z7w&?x>eha`e{Pm$-$S3M?;togh`t_xg)9m{E|Fi2mZ6y2u!U~hj@%_@-X>Ev({56e
zJG-!_@*Wqb4LFeV;8J{fBkoBvYJCT4Wcq0x*t`oGkz#qnx6<TELgEij8BGGO&9fNj
zxw8j0y^E2Z5guh?9(49vb|;zdeCU3t;p2EZvr-Cz?3aq1MMskLhZ#@Ro$_+x0{r-7
zeB&n8MPTP5uu1Q$IYyEltFKG%J>UAq*bkIuS^S9o#*qAsIG6IPR~LFPw%Ds<h+7AR
zNBfsw6})7-neKGkudty%P|kq{JdIEc5BB|d5?8~Fo$MV;Gzb!8@Ji(p)4T8R)wg_D
zh}AytFpd=!0FjDA0QoKYaLeg;%$aIqWtsP2+OFpgg+IH?etv76KJOFLACDhgP|k%N
ze&u(?>FStz`2H|BV|zc7G7~~wA)*hiupOYjP;R*kvf7^x1Ge8J{_Neh^_~n2`LmvP
za=vjRKUZLo71$zt?;F%)y0Rm`7{<GQn3B^R7~~wD4D|3hU%i~f$axWEr7~z;U4wVl
z>N8}C2mIyuyfP9R&T?Z6-M9;a+RF&<>W(Lmb)X2WUv(e#Kg*uU1#Stu40F$r&1nTh
z^ojwHMSamv9j_{3fioca@meFGy}gGXuh%=KdX>?I@%rIUar>d`ESsi$Jhc=B#;iZ@
z?e&78VLYEgG`3TCC-|O#Q+Pt~Mze?dchZAG^u#F6f%YHB{SR<vGC>k=D4l#Z512<1
zn@YgTr(bxyE<9K6ml2Kp{!G(DdG*^MyC;1c(hZ6QoR79oP`Qh#CKB3<vGWOr%e8j#
zITUi%hC{nn(htA4VmKn714r@N4KdQ}Al$4<MNkW<`R8w320hI<cQ|(|71`gNr_3M{
zw#)7b%gv6w!y<onYK#=|;q6H3@<l<-QnB0z4yRwS&xd2UsBh<Z6T(dc{1rxIY=Ct~
zrW83alTQS+MrtMlWL+z_@1fkOI6md$f*~`SjRk?3iSEG%l}tc=uyCf}XXsu&RHx?S
zux@?-FNQa`00i9KjLyfIjps%R-{D(`k=^W45n}1=xexlcvfMFza3U&-XwbnP7r8kn
z>wMU7&%%xc(Rx^~-m#no&&U(B8Q&FqNo-ihN$h6+Bsd2i&}8bhT;B=o7v&0v0#_$=
zI#Cg+#>o9jE89H|O@W?sg>$oexm=TFr-AWC`>)D&cL>S)fqa)zI;F%u&yXPjBHNT8
ziALxEw)-z~pN)4z=a!5IxyAE#eZtU}co&geKORyojt`G-uO|}QFQ)I0TWl$YUH>kZ
zFoGdDFC1TOa$elMdM&VZQHZKS?()j3OGmj^HO(_#_OdPAjsSP-mOJnj+vNj8*PS$M
z1nt4y=RFh;Ngw=ynws~w*eG40g0^YfvrDXt$b*ERW9wrb{iyqC#Su`U_2BLkdcAPh
z?O3rtvqDAiX+LS)h`3)!0J&{VU2bZd1js59lVL0M#dFBEOtPDf7sbu5)#pUld*r-_
zub?qB*;udH2A|k<By=m#GRmYTRxfVDOCK!7kh3CbtLn3^9~Z)-KL#FywRA(H%iGhf
zu1JP?{<<x<AJ+))1~^)h(`a8kwflWUeVkrvR}rC!9BR}+fhDlcTH1-<{bJ>AF;3)-
zW*=MT!jERVkusrEV#XKew)?k_b`7!=LWEGxUC6^?hTBt!w~K&}_x7gYICUN0Nq1d-
zP6@l|yOpnVH?Hea1~@7$o5$72S<ut7#SFefZ}{butI^%-H6ji}XybHHORmg0_mW8-
zd?!n5Jcs~e_{xiUj&mMaiI+^lFXL6Pc_0s@8ST3?6C4nI-Lgk<$JjOC#cTNja^8uw
z;@#soDs=q|zJ>Xoj#5A1KrGscHU>{6#;Ve2<bbg##}fzMp3v!3c7Ko%vW+~DCtV9i
z%2qU|%_E&>iq8h0MxKvsV4b6$D_6X8khF({VEaL3o4Iz?cR?M(>XmPHqdP+f@w;Ql
zt%@2*FLCBhH+BUd<LxdILi6?$#|_~AVcYd`q+pHdAi^O^u+rIh)u0l;vM}IRI`+g5
z?KF{KQ=mW3=v8pRI~)87{sa)3xPShi9bCI3sC(b+cj+&~^cm_04TKa=T`ha|*WaJO
zu7saZxUFioOFjyOi-^uoCn@u7Z0SxD{V+#NforSRJsO3<W%uU%%*rC1?#*gttYK%0
zzUm1UG`Zo$#^0NC%chu$t@n>UqnqjweMG>^NyR*P{l*XaJe2DRct|7@)1`X#jsRD-
zP-;sIL&_QBBJw@cDB<pkU#*C;2;`U7o$A2os=L>uADZa<3WBQ4j*p%)(@KjU>pfCN
zEGm*1_&A^Tv}*3n67{?j8i_Q&z=0-#UC5Ojt=H}bJ@Vq0e|zm_mKEl<2SUkp@6WSw
zymy@)mnyq%#Ik0P*I%esE*#5yIu(jEoAk$=2tzI=f#Kw*qO;7W7_Sx(d|;;KBX=s_
zcy$-c#4BcMc}+|7S<DR*rD0z&A6~)iAY!nniqG)nQjO&(hb(#aFOLdd#ui>ZfBt+f
z`71jO+zh#BIP7f4-5-AUjW)vldUQ**re(>((m<0PeGhlag)Nu5LuLK~S67{S&O!EV
z(5LL6FAw5OcedhLD4a2@iJzT<iO_g9iRDr+mS^ROn0bgMsC9R<;hj=av8#zR-sb4z
z|L4pLkKu9nnXLallOlli|Asa>d)7d!RM-y!Wx?C2N}tQYCc;PO_$Z#`RX3bh-afMh
zoK_mjbaUyuB0sO=686&N0ip(ORMGT@{q|Rp_)c%lJwGV4Fqt1g8Y;`a-Q#AFWB!AF
zyrb-k0Bzs8d7<SkRu3KVxlvkb7Nvf%_f0ot#Zl9z(HyFo7{-o)2lI;l0HS8`;e4#~
zND=0BtEDDnv$tNH@oy83Z*nugcflQRMpiWq_DHba@<c_fDF=JxgX;y`^6Tw4dQTgQ
z>&?%5=Qkon#Jp8N6(tz_p<HaaB#pJ7tL45De`bAUyWBeO+Ht=mgw3}ZMVt~(i-Ros
zJ{bMs_yl?k&VVL+dQ4~3#kd*r(V5Oh%}^2SM{{DF876)=&uo&01$4qLCY38i&WE@v
zN!JHaB;fuG@T)*O&8<3^sf5`wX1LMJbuF2}e0E%Y%&fJZe3gS+Re-$ja-u-J+wb+v
zF|?uIF8LCBt4WSc{5$WwiW4^V_#YNEi`y0puZOAcl=bCWOGaQrH6vxV3-w2ZyEoN;
zm3}RiXap3>v*a|{5D5=3RjX4X_YH29JqyL7?rhjk=HSD0zg-Pwso<^nV9Lvz&_j5=
z8yv*jZ^maBj$^vlo9#?-2dqYa;GBt3*wjUU?qqnflSajNyM@13fcK>uvqWr7>9Fpr
zKZgfmk@8W}%tUgC@E$DEYm*jMJ!35D32#NnVD}KhxGWb`$g*>l^p$_HK8AguS8Gbh
zYTN1!Q;pV5NUW}=F4NKFOG#MH=96$(v-3g57GW`lvLo4xKP)>2us5>N?si~(*_Oz<
zR|*w@-fVOj$^v*_!q;(`APWdMlByh4%g5LHEdTqA*+Gtx(SY1%*i2^07O?1kT|3Bq
zl|0XSshEqMiS6cX3A`jYABP>Ui*WL*b?oMZQP3jQ)n3;Su=&F?1D%UhqWl-8a0xV8
z0hh)Shp)o<15Fo_CdlVIqNB&}Xd?x`jV@A!s`_`5F`h!NJ79@uV)9b!Ec?veN=*Wz
zrcaj6a=&Lcve4kvY$V@H!jh%dH+O#6w3qw@dwI1g*$%izJ)NZC7yc6*;ow0f+I$hE
z?6n@-PjTH1^*Ifo)aMG2kko)rO^o{Vj;9r><jkDPyQ`=<Vy@qBzT@`5A}mwM0~jXv
zVA;6aV*o%fOWgu~`8#(j`lbgh^@EL!a(ph$DxhYZZ!u9#D>ir^`DWHW^4mh_h2F}Y
zW_9_nlXs2ai+6iiuH{E3q=v9Bo~0vzz9(>sErFQ#mVt;}U)ydr_Ut8JN_d2as$ZVR
zw$(&-V4qVc528NNR%-7!cx}5_?!kS;3woZ}k-m+y{F9^G5_js)KnlKwTo2eDX5RG(
zrk=aDDK!tDB#PO}XH;a)Z}F(+53g+oglMtgV?9IOHE0c*5OvC@VnT9UH1N}&EfUp_
z*q1l(aW2><Y^P#AN-gV`&3rY2Epo?WdaNJzLE{FP4fGp#%$bSxBWVO#P=tmN1;D8w
zi3egHNXE8t?ThU_ORi@*?4<45upTlCN1!k903k5U^6o38K<qer10eu}e#*hO#x`J3
zLG5J5JtL1HpYclO(MNreu#3Qu0}$*bY37GE1`hT|l39d^Fi|t8%)92Mck?^2)=FZJ
z#Bna}xAZ+reFsLsk5_OJcoEb&XO`(rSVu;YXs(W|Z}`BK+=xg?2HR}BxA2khwozWN
z)4>tyn5Db}o+Xh(S+pw3z&ipfO~GHW)7k%-0fa%c^oCfKvJ3TE8kTx=a=n)84Yz<f
zn$wh-){mH%<Z&{5HUpnc9`I5QzxI(LRmgnn8n?CLX`nX^Z0L@=zjUeyfX4S*or3Bt
zG$7eQ6#SGU5G#Y?U1B&;vEx&v3shUpealz?eS_%j&?tX>j=YVG;4+Op3-jHKlj(~F
z6iq5)dycr8El9Y256k{plY0X8a(sW}o;1JX)xz{iBjLOagcAnwNToUPPMjZsi%I(D
zwld;yz1RxEksuuz?Bkb&P<jr%x`e~oI@$VPxgq+VhrsPTb)^jRlaZN+G5E$_e*Uy*
z%SJeH7aQ3H6T#(FMn*=y^g2)Q$C?IxOxjk=#y+SZABphx5LqUuk%U;smhp2&CG}k;
zJ}g#QxCt7|rUxZRC;hi-HKMDbkv{6gDOPJm#8<9fR$s{<e(R86HzUIt6Awb0r)~R-
z)yVGJYXz_Kcq@J%9p|3|Kkv^}1~n>XQSV$SqT_d*@wa(Mw;Z1@eEq%1eh%I+FPzE*
zLvJ&Wt_3CUA2AMqSdQ+sCl6v~`(bLJSXb~eRTnl{IlG~eTwa}vjEtHH;JbN9>1K+P
zU=L%tD2^z*h<zHUTQOqfvg_zw-aWvu=?+Pnp)oAl;WVU#T&KZw%+fVh+P&{fQC(d&
zem?rldtNlF`NryTrRz?p(A{n>W>5gGGy)=(3e|hcQ9{BX-oXzVGx2Z3v_6Gyq?^pT
zH#BFbqXu<QQIh$%EJ_IRYkTS!%~out#zsPEb7>fNjz6rw!GhIU&e(w00*MWElUU#W
zP5TaE_&uR~$e7=YInF4C<Ptu#eKZx_eFlez4&>vO6JaRf1XKDh>Q2<AGq=zp^5-|T
zU&)78tvu4R(l8vDL{`W?c^{YlifqsrX?TNig!;T+8FE8%$oo$C4wfr&mut4yd*TZn
z5v;|2TsEpPcE9k{H~E3Qb@ucvv-yx*o?JHTYZ9tQpb<s>8J+r)B@FcmA796DZP3`D
z;L`}<4=<VW(v(Uc6w{n9K<m%uPz%1#3<{<p!0<dw_j-sy56HvlFCP$^zt|VS2k2IQ
z|IY5zytZcwUNQ$;xXztUcB6^C$Hs?C8v&xRs#sd~-$krNL*&N}yO*y)S_JyigL0z_
zdLmNEYAdV(P|Tff_xNtZGs@fsCNDUn@QF&h7b-URXIq3cRdZxs4M<L(j2K@pwLu^a
z;QIz*txrk3&)|+}i08H$EpwGs|02zzpXDWPLO&(?H??sYvzL{dQGLz!`NG>gf-YQA
zq_WxBu+5w67}$>=l8=d$b47>a+mAS;e-iPcJ!n>otxdqYOwCiAidhwVUMda_WM&90
zeyxLidrs5X=Qtzt+!;E#l)6x>%V(3O-dERi9f?-u{hk#&sdq<wTh+~)->{4Qxyei9
z1k#k+a=?8vT+lEgwz4I+jd0g;o%7PZF<O3L9yTrloOHnP?5SULzX`f$0c@@_a#Ax{
zY+Y3JeJ7gwd{-f5)4(#f-`0-(Z1Hxu4-$*OOx(7YuKNznWwXvo<H)$Utb@=>Bd@>%
z!_ad>WpQPdH-zri7b_sBd;)8+H*{MMx)%3N=~l<#*!6}_0_~3psIVb6uYR14RxE)1
z{^0NiBC8p6<vLSgV0W5K{RVf}Uo@Zmp)kWERLIM@girj1fBa_~zFu=xiu$vWoa2zN
zXO$I<_C6^=C{CD|CkboxFLGc@qhJ^$accLTm=b)1&iG&kAC7PoP3^C%YS4@U@8vVs
zySpkULVBy8KJ$|kxOoVUc!@2YLUuv3QfonJViN7US(95y;eC358J_1A@`Kd(;Z*1j
zNF^U)cn)eZk~*qrIfky3YE}Ah@m<Fj(@H+7JODDYobS_$xn09~P}!>1h0{hA>f_^k
zxl78V9j{6=*y`UF>})Y5=gEbB;Z|m*ZTg~d|J?!1o_I2x1AF_%n=|JkBpwW+mUHfh
zZ3UH=l&@4lmx3rfc5gQq^;nh(#2>c@;AesV9@Db7Ngk4EgIgw?>f7Hh3uPmFv`GWp
zqS^o$oR@^}OMym5JMOu>3gmxb{rb$CY8tc{hh0ZyjYb<&z5iv1JCvdBtL6!xUg(&J
zF)_RMI{2`<Z~D0XzM`Q*yLuh`y{W-G<j<T?{Q(PaITMWNVoH@|DyD1o?&ZV0jFDb>
zk<p>4M?Fr@J1jz#c8R+E%~5V{F_a-uh5ZT5k9|oV4IojXf)=lPPnRhKo2u?POKj9Y
zHn__u!pDdk30f(%N9VH*O}t*P?TDN;m-vIDR2)>u``ixnv!bEVhv|^~8Cqi$u;?}b
zyT${V`Dhg$vzNa;i+Zq%$ot&9z?3^jKu#B<u6Xyc+(b>{TY(Bc?Q(&sW6YhrK@JSi
zt@Avc{WjC*Zm%xYw)s|s-LUnhd7@tw|8b{8-viKILz?4~bZZC<=0P5kPe9+uea|B$
z$`~H);p}PqOZ0OV_omqi^g<z(Oo;rw+t{<vo6S~QzIWWZQ;>;YD#1}%goRMLa412f
zq$TRZsNng~yz`8K>kviQbt7$E5ZWLA?G(j}S_w>~JuZjPQv$G|qQl5!R`HMCw9@Qc
zN<ry9v!6z+e{uMkU|c^Z;vtwXBh6NI!=|D|qw0xGEvx(Ga)xOZEaP0n^{7dpqIth0
zaU3}1v!wJC@vku;&_!8W*&YEix+pvQeI+WMK0ZFY0uy_^%6KBgyQ;v!w=;*M{C;UI
zQseb8J^PCZrW8xrp>xN2b!ixC9tjEQ7HPD3tD#<l&5|QLf8398$9eQo1QYEs>Hv^Y
z;{Z(8MF*+L3Nx@Cyk@$sf=@Q+k-N{#sZkKqAFWLpJ4?vjm{?GRW@GeBHo^R}xF{vw
zM@W<tD%dXRLIzX3DFf~*+BkQ_CS04NjN3V3?046g?2YgF(&s7bd9i+?{sA2lDnu*2
zsrIW`=(>D8(rZk+A`M!Vy`6>4=U&v?6?}nA14<3_;_7E~dIooN$KMty`p>xnj@#vl
z7hhnu08a?>#|WMkeA<02Io`p=d`6i)YQzpp?Qq{^+etf@b2!d)-u};oQbnQI`i>A#
zRUP>(=o_J%;`V!GEHVfye$fSna2rF7otJxHdPp?QD>Fgqa>;=u;vK;`?P@!^1FGRj
z&x&6vswiV%boJDSJ-++-LJ`OwOkxDW%zGV8z5a+V95=`hH7*n(DWm@Kl}Lx*p%a#z
zENy6fH)hzhBp(q`o-|t^(VImj`dQadW~@IwudRD~{c!R2>V|vNvOtB*6BzrMNQWno
zp_QAs(C0EtG7g@GNzEDeW_d*Hl1Ie8F4L*mCgD#9<~jQPGcgt1qA*1#<Gl~&pA6u0
zdam6C{2+;sJWsFU{UkHazbT57!98ZV{aYmh`YD40Q3LnqypL*<DBQB1qlFgw?<_nC
zSO*Z}G+(ia!hU2c{srqbOwi3CQ(>9|C;Syg|7QY!t!<5lqu*sByl_E|G-p9a_U?M&
z<>dKXo=WnsiIQR(!&vi|xW1yqkFILF(ryp|G(0DBZHwx)giD{k{1U+!W?3xl_Sd4x
z(@880{oB%P>y(@Y`|2hd+RV1QAnlioUwG66R(+8y8dmK47?lKn{{YeK_-K6zB>C%0
z9C)kBcDYb9(s|7Lu!h~IldN6ZE<BGG?|E1q)I47siRVp5mwV>AY>8d^T#YTqT77Fb
zLtb$!@9DTWw=K|AUeYt}%{W-*0baLJ)$4#pTvOJ0T-ruEDq9LXN&)!qmw3_o1S>&L
zGw|=H(5exVua>TlcHUv!hb`2;>;6vA+jyl`j(J4)i~3XB1Uy8~<{z^T#?KV7wCj=E
zp}2#xQKgNobqBI15v7)fyGdtxrF2$m64S5}jZzEJH&$+=AA-vHBh&7`e{%ovpCQA1
zUwUx43Vt)3>+m4&FcHw_Ldl&=e_Y1cfVa#Nb*L;)J@LQ91)1Z6JQ|$jUDcRtCe}_4
zEex!~)=NSfowwNidh6W7a$)ATl%5x_Y8^VD)`N+_4!}s8664_?{y2+X6@M56$;a{i
zO~3FVQ;-C-f~I~)sJ_1%`($L97iCYru1xmFt3>jyah0nwb3p-_m{#Ka`hibUqWQI?
zp}F9-#3b%D@PsVm6m*Re`T@(k`YMG}E$=T(d`SW%%T}id)py*)9N~^We_DQmT+;5Z
zED|Y6>Yi{XrL9T5f7n15Tl+OMR1i~MLYGB`yTG%!2=UttMgCKWa{r(7$CB6iu*j1g
zVFgObKhIo&YnMB3d@s=C$f$X`GeGv8*HbBL0vkG#E+DgXbTu}Oj)*qH+B`Ob0@Wll
zR13EMeJ0zwsHwD5FBz(N+&0v$t%pN1Gv4PD>RmvThY&;l4f+SA%_{DPsxJa}7rJG|
z;LP?h8erq?20=)lla^k*Lv`G}Fe*ZN3m>UnI7dQ#IB2B8iApgt%*|&hqkojo)HSWu
z3a-;y&pUoemB}XGDPY|3bQ00sSk6?WKg{+CyUgZ<NP*;&ga0vVK14`W#|062+3ILh
z@@ItW(0`OhE^;(sl$(m@ouHyK&z8O2xu9uX+Q#~Y9z$%-r?*T3Heb^r;tL)UtKTT@
zIEC*<IaVOYt|DM~8Ihv(eV2bY#xu{qUfJ~4*V<U*5Xg4c)s-1WfMI-$?pGpkqp0tw
zMt`xg()rTzc;CI0a>O35TA`P2Z-^yMMb)P!Vg>bvzkPt7XXV9M@3sXj&(4zAz->JC
z1YR;R6#p&5rSaphM{Ls|)W;YB-5D9w)I!B4lI30|PeZ?VjV|IM`6;2R-`&=i>ovqI
z2k%qijAmy1KFfRmE%@$0KOMs~A2j`YD*qZ(ymeRo#JbOc4o}{3!?7AxU0prDl?a0V
z<b%UAhFa^W$&28>>8K$ML@Q>}H{1nW-#XkR3;mcmMYF6C;|;sOS94~hk&$s<ItC4;
z%~N``mU@D&*J5ptLuHnnmd~Gr=&l~QC8a@(=xr6d`Q{(F^wA{vdJjy$1Lfeo?qTx#
zQ;r=nMf9$P-`R{^nf0r;H1Z4b-RImh3j^?oIl18&l)B`6HhchG6?Eo_@i~+;a64aW
zlEjvFa5uC5(J-%#Wq*@DYvMpUAz8wLSMquWUNp7)aMVj``%nndIcJfHb%gn=iv49W
z07N4R6r?#B?%ZZ#(m{cm^7KbmXzbu8di{sW%-6}Uv=XMdjT7W>yN%_s``4V1)FxdO
zsMFQ*7c=2aD-gvd^}lVIPP*E`n&X#>BRzvAvK#2OY$fOkyACiFwkD+AAB~Vu|3O9o
z8V5o{6q(lfThGzWF{_V-SBVsuJs83gJ*a<4p>l_j*|FnUQGa%1E?v+<sNjM`v;(<u
zd>$(|A>~lNwFQJOE<QeFC?A^0rl;AmakWq>xb~S~gbEJ71)u-IF97W&LPHCMoDJ|0
zXc!y91iv-GBLkouji-QDu|KY~aO^fi22hD>VpOlwwQh72SO`ncVsB8KfB4fR8-V)<
zSn$~2&%Gk4hia8+tG2)s;jlA}QY{z*oI~4}1qb|n>&BNL=`a>fma-;*h`)c+BKtAp
zKaK)Aq{B&rrkYVK*-ta3DJgmSl!x<Pp6z0@og83vOmDXBQS%Y+xr@rnind(LMyls7
zksW}i)=Dj0mz-xZ$>1-DbjXZ&iywO7KIZV?zrF+{$wMFgiKjeF;ZWaBAdQBY{x}~I
zVPT~{Ep@VW$4TB>t#gME{(JMSbj*jyWIOuvNyy9<Z>rR{ZrgJEFH+nW$fob`czPD9
zuE0Z&{JHgfqz(?eFxcwiK~pcqA8g6uMli7BI{3*j32VeKo6I!Xli5#W+1on=&QS>l
z0Bfs|{6^3p)m1~o&r6_1fNLJLw(M?#aT?Lqhp=JU<+FZL971yq5OP_(5to?Kpw8<$
z;#72*?=jtDFj>ZQ^_HV)y_H%R^d3}^+xK@!0CE8XT;<5LY0k?er(np5y?258>H3`K
zNt=w6JqK;X>$!;%p~U2`toSN|eA_Q-yp3u5R}$a0B8(}c=gm={z-lLzHX62CefneQ
zwRrHwvHw|FEsZGZgp~>K2&j3g_gh*RO+on)kPSVLOrf538?ihU0rI1R?>J@SpJ7>M
zs7pJn*?ZHPgnI~KZvA#-!l(<Xf`J6!Jo$141U~df!L;F~Li-CcqFIWFR<!aiaj{17
zEe-H6Vx4+Jjf$xF$do~?Zq-7clx<t7O{w?0GuOBb@H-?+L5FLq3>vidBWtePZW=Z}
zOC0g6kH;<L28%35-k@-oK`ISAk2f{644g^4vu`c=J^lnjIM`<qAX<U?wL^cy6^5cM
z{C#v4DojKwsz<M!>~p-mdFvWnspvUQy<KkENgp@phgL06naY0v7c;}-+$fQ$c1^?D
z$@><m-IIUv&>a^O@(Bbx;nDzvf2-sqnKcqQP~-QEc23}aup@AC+)tDQS(FOzC$`f-
ziPC2>WgU#STD&r9;!8(y<A>G}|1Dzl*R5}o<js}Tz{P{qdzsmWZfk+chIU;jPYBj2
zZ+7wi*{*0Iatc&E6s}&1;p#;&XL2vuR}jqvF&>JC?jS5P_k>48&rtEXz6*Jvkjf~u
ztpwi%)bDH-C~mr*CSSWb;)tM8MMbctJ=EYLrKEWyfAmxv_At1T2=ck5-AQvCVF^Cr
z>hYsR`J>PQi0ODF)yf@nIad?Vb-eVE5u`jZsy|NoWWcBHa4J%h*zoN2LYjx`ag!wZ
zDPBqEgj%l3u)fFOq#i&X*%su;8sPt77Yu#4ty6}-J9b_9NMYfu+)Vc$0}_4DfNYf>
zma+?1Ndke_tD~DgvX0XjRBmOQW_vV&>Eg1R=cWheOd>=r%9Q7D9kZ<Tw(wI0{j1T@
zIW_mFM;ul?`a)U(V{|yy>TbGrjKuvL*L#tFzL7qk9Wt?KN_2~)PS2^PZ+)^NOO5;(
zx!@YC&N8v}iAXUvlw>S(i-7$7i)`F6na^S(jU!_?*oD2Z2TcdZksI0pNb|6XeEB`{
zYaZ}1JcS_?0terB??jpY;}^=lM`iQ#%kv<M`UzpV`_EM9h%K3-`9KN>>7|-CoO$98
zHJukjl!PcjhQGdkdf~EnzFpD0sUlXbzLjTQAqg%iYi%z?t%M<A^Jcl+A2op7zoRpz
ziSfGL1^)-HM1g3VuKHEsn?zwmE~r-x`;mCph?MgHzxGFd3Mvhkp=_(-1nT~fm(6yI
zV+!%fZu{a#iXK8n_*SQE(@1|zMHLg`BJqxH^HL&iu=eioy2EQLbpDF~&%@UKR4F(%
z?Os;M=D(c86?s#Jy1a>EL8ReZn}BvLGNR+>N8-}oe`MSrQV`6(Jb7u8QEzzLJcHsr
zgF=xoLSs$=zL8$Eo06QMn2FNOws<9^4XM<vE2)Q$T*6MWfg%^zKbx+j6MW&T^EVm8
zMN4H{F5k;fGCpg?b447vE9oB`ASwgTZ~Z3bD|qN-QzdPuV6R-|bk!jDQLajpH>W6l
z9+Hn%qe=|Ag4!tJf72BIY+6j?oHNy?xZnM`bRPDqkIbOub~|-+$#umWxS{$U>5ssK
zFB4wYXwdx!a6d}X1&zsyTh0gET?D@pkl>-7+0Mdx%=0I<EO*ELVa6lvO^w@ea?1jy
z4v$(T4XD#p@S0^yzYIQA>~guo^!YK2CPH&3%{!63yjY8dC6|TN)kR`uynh)c2zBS1
zI_0a%ePKDUZ;r;lQTF*tI~2OP`*a*9PjAz&-8Xofu43|Un||p-<HWF37dt9bztQ9K
zkJ}U*gg3Tc>%>Eq1&(Ux*)m(Uu;A&lruj&$|HS%>*#AfrMn*;!NSv5Ra*j1_64Rp)
z+S_P)6e;CDQ#ECKbOt|9A&Z;bl07>{(U#*({cv#!uGrjqw#J-M?;^AZsjA%$j9{wF
zgk-vJC)XWRc0kRD4x3iPd}{xxWznn^<R8n)O&jeVrmz^Cu@i(WZ(I^_L=D$dS<|BF
z_kkajzek;MD8?jAaHo@<oQ1>;lsVl@88EOQ9H|r7ALtIAGvyCk`o!OZTCNuROW_HO
zEdl}p5EBl$`5*2IPr@_8*`@clj`%CpyZ&d^0i6nup(;CaXZPl39nok;`}YlO?+Lo&
zbjz2X=aYnA6W__@JgB$z>oz02|2bpxGWR<KUUfb3flkN+b(C1hSFA}eIsX$=R*-)x
zgzg=-LCR|*Cv3|;Q9hQN_lYCf=O-PxAF#YNsPn`mV{1uVesShlDQqD3#OA)3^lnl;
zQXOEPh3)QsI)djbJkGq~oVaUq5tfC5W%7@uh=S1@RgbD6<ueBw*Q$4egyjL9Ptnxx
zF<Fg`u`DmcmxU~eoJVeLd^4++D-W1^nm&uj42`Z?3N3N<EGE>-V#WC5wdyeR<x%~b
zGk`=!M$WLeY{tlpxF6_&#6}=o9%QrsM(RAog=>@CKvv$H8b|)|1KdY<7vbdVr*J)M
z$-PgXjqM(BML2XhpcQ<;RZ3uO-e7(S|BrBQB<6H!r{hrT7E@|O&%HWQ?=yK`skWRA
zu$+M4FG;=HTogG8^7{*u@G5+msK{ZZaDjjxt#}6&$1F0lx2pp7VbUr$&;ZGyW^Qsi
zo&P#!o9z78++Mvy@refA2e>}zsZ(tdTg6w>b!55_C%o)cm$P9n6YseH2gf!yoP5`%
zYm4V|-%<ZKJjVj^FPn)B>kl|bz_}*5`<FGt<dA?)b@*t%$Cg?=CqF#Rlhlq(GGn(q
zE;INP>+5>411h*gB>0{8xph(x;e2d3f5zF%64-L9Df43G2m&-{u5~$Q;{ii|y;By7
zj$6KZ4Uqh|`R|F)t568x)caL*%mi(WlW?QT#23i$B`zEgcE3I*E?;2mg%@F;tqzQi
zw}fTT*VgA1s|<Qm=HF^kU1!rLBuKJ{S)YtRao`oO`J;vvXfc5j@0t@lo7}r0O7<td
zz!xr7w6<uES1?vQ{B9Xj+ri>K3^>P-66`D5_edxr#}lncr6u{c`fRm(wU!iPKXIQ8
zw;?!By4!-fu#PsbhNgg;6ZKw{`?3lBSEaCc7Om-NTWwhO6r2~M!g;X|$$z;b2J)RL
z?38|iIn98qJL@t2X12fIz~*T=*vy@Qbh+mUub=c@Yus%9vZS{^oT^N8q#Nyb{JIcL
zhOH>%E~37wT51y0(g4#a)ts8H1i_ZOu>}s(Hy7{M=Bue5Gs}<3<vGSEVHD;18aNuW
z+|+<=?2!ZH;S^8!!xoQiwT$iOVLasu_ND{H2SYZc6zMkS(%6(3BJNnd#H4;Zl*kcH
zSRa|Em38+Qtd1J5+cS{>N83Wmzr09v3#~D58|mEwJnf`_`X<TYxu0Bt5l?d$G)8;M
z``L4J7b+Dg#Q1i%pVf+>d}lX!nH+LoB(I;q9lohYAMR=H#nE@J&q%Kr3l}Pf5m06R
zy}CMq<Hn64_$%lTXYnW;yjTA)1zy7NnFCogz(cXA5&#<+IR&@qqG$3Z7(1NmemQXM
zmvcENRA;W}euU+LwIDuJV={oR$3<-^>S#W!CN!Kb+wc<BJE>H<<S@wAQ3Zd$Lb<RP
z?{9Sk;1`PjN1r(AnN#NH6e0zoAU;A0PSf<oO4|OeS&i_T(^<p0rS*^EL>bpl?jWt3
zI))QPoc`7G0Nyn9=MnjRK6GI&Eyb{!5&jw%$mL9jN0&cJ!>Rp$MXD0GGEqoq?1RU6
z+P>d@qRx+0Wk<#-##QmDJGY^iO~gBz(r3fUI7@bZuveZHCTx3^NA?AwCP6E@VFq#u
zTQy#k_wa=A0)xn9ajB-Ff`XS0Hum2X9=s9`K(u;uZw#*X7XcJf25GAz#=D%};*p;Z
zPsuWZ1R57m^3qONPW1aukR>y;uHQ-NP7x!NQxHMfB#>54BA_$nde;y1iH6NF$7U3#
zKL4Slom9BHsgNGv9QOCUzE_%Yj}GR611)-q{Us4zSLv^{z%|)y@{AdcX!p42ssz4{
zIitt71zfyC+-t^xL{6mlO2Mmlzfg$vtJ2c$WiXxuBL5>-PmvKgqdwAlnuDJh?ef0G
zEqdwqJCq`kjHrBdVL+(m_nJ(Re+^sdRf3Wly;OIKj4g6))`uxW8<e7<1D&5Ir_nFX
z%M7oTd4P3;>@A1m4Xs;jL9vb<`2#x$eSdN3v4C3@{+eaaC60LLm#<th>8#Qruuf%9
z>gTke3L;{SGJJ<ei&%m$9$Hv&aC!AyB0)J*z-dl(=N-aIjBlmK8ch`%T6jlvrWVhc
zSTvOivOMNsKOREnS0GCoI8lx;PTp%54BWp7p{Fkq>MKoHd)%(Zpx7_5$ljo-`#r9f
zgHH{mQnQ4Y^}Kw6`@su4^eqP}@%pohrVz)qkG`7*SmrJIS}pR{+spX|@u@m6Ok(zu
zB|8Wf$gpNxD>83QC=(kS@1F;dh$1>0emV*GvmvV{ozz-i9*4-G6LveR;fujPPSE?}
zaUxYk7o!hxs-#M$>!V-(qQ#QWCp%oo4!_QB`P}-V<2r^OUORz)ABGp;_Cq!oZLbag
zYrC`XNuFo-nGcdC|1>dfsqNTYjf_u~dI6VLLXQU3kDegoG&IU!EjCj7GMt0gGYfb>
zQ_pUTA?4+;9G%v(skQ()8&eOB`BOv@3V>dN>c4{1uTCDbzC06+E(PuX>X86H1O^VH
zOrM&qXL@ri_X3>?cDq#YNCHP!0<y~*^U4wTE~!x^Ui58z=S`WR-#cDmFD$JmSZ0xU
zbU#X^ja{)Ce}Mo&?K$-yy1#T7ws~BFsdw7@)q==h{H>wDU4jE~uJ>vhIzY4HTiv<l
zFRJk<JFl--Teu8QcSGJgjKH(?jm_PZUM{8oYYoMw5Z0|#Ub5tUy#(8+>c+k|;JqFp
z`%Bb1$8f0@NQRBMVvDy7*J*L~o`thDk->|2f3*i=&}>F)HD-ng>V?@Y-Qa6+>a0k#
z03W;bE=n?wR>C~}Q3F?SSz!w_l5aa{{tk=O=b9eq-Vb{#VLruo_BZb;`W}E@Wvy{P
z53kA%!^Qsd&Ub+l84}1PKEE5ytP4M@2ZM={GH!EoR>#6p@Dz<l5ergEeCTA)dejJG
z3YysNFel>Hm@pO&VRi6K!u>jN$IZcD0^2=qn&(!S&>#QnJjMID;%7|Szrmub4PuUs
zcC`WrMG{LRBen#HPLV%+|Gh=%A}yi&Io*C){8vm2lgAe>FM=L%bml0|%9AZJ2QdjL
z!cPq_o(vb=qp*fWhkfDuL&x~(AOA^Je2Mi1PmkojJJ+$>a~@loTk*%?NW0)*#@)s7
zlLHCXo{=XY90nE6mhvd;K^&J3{M&nLc0m5pDSedfc-)&2t<JP{ZRjPs3Jo)`WU~yN
z7U<mps0N-O1;%;E{4Msuv-%OD23Frlm2u>|;YFDkOcgkIzZRzx%Tjyf9;b;`?tG$C
zfgT%YbZtTmxqj|@G-mdC5^pUSq>|cNZsPWC)x$02tZl`W2+&n@durd8Kt~Pk>-!_Y
z4;wNH3JQxXQ`P^`86Ox$PreW=yxefoGY@bPury7{YukzCg)1UmZjDXuKW}v{;lZQ#
ziA3m(U>_;F`#VH<b>u<@7R!?PqRNZtgR@b1lTnNn`?p~5&!iGdHsD9ur6QQ~!L)VD
z=7hY~NTvwPXB3{U`m3S3m3&3Sv;_KlW1)1z_Mr?&7Pm2qe^rZSln`NIXo??vC*h*1
zS0H8?^1XmsT{gH|X<nTD-tOpJ;KWhQxJ+G;C&4}dDx@<dPDh_yk)`eX#3Gq!>gr|X
zFOf<PeW!6LW%wJ^?m?;#=tTbonT~+~J^3XMOYqh^FWVPzlYi80N2`T9Cow@vcz2ol
zwqbee>Z>Eora!3Axe8~slT#~TVQwW7(JH1^US%$G`H4bz32-#F<DX{RB8vK32n6_j
zV5DOBhI6G=4yl^#z7fq5`IDH5`lB~czALYv?t414dG9TmIK{W2zbqbdz7%L_{Z?tM
z6QCw_KVDF#jLvGf4}ZnY@Mz%wVC<`-qWr$EDJ3KXr6dMHKw9Y@6afJNC6!iMO1c?B
zr6dHDZUkxRW<Ug_yJP5~yJi?>-e>&i_xJC+7R!HRG4tH#+;h*_d!K!I%6v`xlSKer
z7Fw-b_8aeSjg!UMs#^g%OV||#rUU}_uzS61a{Gh{_h_JlK@V;`y1X_TI_&~ilb<dE
zmrfVVDWI~_hQ2E2$=w+~(|-M;X$<r8gU?uL^I39Px^qtfXRHfUW?X^bZ%Md*2Ujre
zjfjsOWRo(jy#6EA$~8a?^8F;i4p1_kUQhqJdm8bh`0>-=P!5|w78`nMYA+fx9$bmS
zhw}*x<ILZ9PoU=ABQt!pb4Lo!d(j~-uw_OThX3%4z5gf?hL#6n9xvbIvJA0dldab^
z*t`P;L$l8xHpCEBBJRs}b7grg&a=KGb-+IC_PntteaPiL6ta6Z>v-7*Knw4<CC;UM
zT*-$>|DCeJxJHpYGjryTI$~n|c8AbWpLAyw=r@i(1cUtXbfDg2E27ZZpygLtaBJy|
zjB+?1{E3yZ>eyz!cmy&-Awq;})TCD487p10pZb9w$%&HO;st8u7hHcvG5*w-tV0x7
z-p=&xUl4qhO;S?OKyfml$=<!sE#GA4voJh{psQoE_Sr2mu7MYW867w5ZEJeH>$cVa
zAlG5)03O10cH|M`q5<CgD<1;@y#V4L^t&Nf>^?VIu_6d;WnAX5zjh;4n^<anJ*oGt
zpX-POKkL_S(|c*eAE>yO#kM^`caWSoydFCbyGDAh()RV84%#3pJsi6IWUT*c0+)Ck
z1NDbdO*v4M<P8n02g9N2R*+FvlhP;v50^{9hGm?*nm1cvurxQsyR&y*VUX(f@iP*U
zEgu0>8(oEZ3clf!Zq5wDMqt(b&892x(NqI|fxJ}z?OOnG%vMl)`mb}SsJ>cLL2@*Y
zv9bdH&xCFAU?&KvhK=KJsmL+c4`mHL`gAcFdxcMo-2d?%-+L5irFW}F--^L}j~Rdo
zyM3N-d^>;p9~^=^L?<(76+*kb!%%g6Tk`<9#y=bMQC-5oo}|&q=|OH^s9(7*NnH?f
z@Aj}t{1~e(n}3l>Pwv!MTzBfJt<|^#pqE^s<$ZbJRT}kYI0*Z<GbI8~xI8I#9BY=$
z8;+Gu`=u25fdx^;M&jn4pSJJb;xF5oF8Mw0cV{wsOy{{aW0PWzvLft1le_IzKDqzl
z$;NatB;PDFd0|#}?*dZ1|Jo00_11~b+~+0SyD~!bFDok3Y42&3>*mH*k%myC*6Tjs
zz_Z6DP7SuFCf`nn<Eh_Yo|lSA-}ah(sH@x)MCJ5qP#=&n)TjzHpWJLHuY+Cw)ffSc
z%usT`tR{s*h5Ti&TUCpJc~6W<Wx~V{Y%dto>KSs>s3Yyy_OZ+xx-P@Zq-@j@T?D#a
z7(1kc^J=L!8WFDZN|#|Bj^b}P_-Qq884UKM?*IviMBe+mc>?5a;KiL4OV3WJ?>gFP
zZddN=+8R|&zo2pg63iwx!Q|_ie=g0$tY;QUmC953J=TM0;w-(AG5Rq{WxS*jC9T)r
z|Dwv6fr+8a$RA+=mIP2(-OnzV6W7+~|4HS5XNV#G^o&E*E_$iT3gS{?H}Cc$YG$4H
zkMIXeT$JVXa0f7XxJ^yN2T20gv}vc(Af?%AiP<qe0nZ&5079&X2VCydpDb3w0rxK=
zF{Ai<f&el+T;q2uwZq*#J}GAj9d+rY{ja{IQtIx{$dLR7h`A^KYZ2UZ0$k-Lm?S#!
zW8=LrhQL&6H$~AUFJP0j#2oQ<($J@WQe9##{?_k$7)=(-|GxPUGj2^~%h5vAm0R4-
z>#c9r6I!C!Fb4=1B#;&roDS;r4KEN(XRkWbeCj2BH=cyS08#;vNA;W3MW$W?nC`ys
zNappw%WaNlp4qRc0jvU3WLVhx_b0Bn{PEiJO2hIU%mmy3b4yE6vY3Klp1a5;i?{Su
zvyA2Dy7Q`9W6!U|eT@^WBX#)e79=qBGL2fAQ~ch)k{OVo`1Olxm_ZnHcY9BZ(V<XQ
z$AJ5b&mU!~{MqaH4n=q;<{$+Hzu!kVcZH3zCFO1{@2CnFB;Wfzc-?zkr%XH*R@PXg
z!im>~_jhT7l>>Hpyw>ffOuoK|*kyBzHXhYi96UCtQN>369~c64lKhPMmeG!P^R|@J
z9F9wH!9Onm1HJq-)u(*#SRU^TY|~JO!AO5e-})<*!iMxUTyK!k>{&vJ70+JpJBK0$
zJ4sSES}QyqIhH@fT+vR>PHp~nDjV0*+cv>uzf>jG?s2#VzIoiU2)4fsKkm&$;=s?J
zyF0hEW=v}O9NL@Tav7;K+{TuvXV}0^xEmV#0Ggh#&6oDkDr3b0voLY3FUzXdIQt%<
z-{<dl|2?V9-3QBqP-Fwj^=xu-E%{Xa<4nRzGBtJ#0_X?;!0=QuzgZHlKr6!?_@B}V
zooeFyRbb*R1y%0<QdaV<-=Z~Ym$uhund`<CgKZ|3V}_dyRsq`M*`v%Y@|G4tSo8VF
zX?lF{TGz6rPSu=hUS<&M-#3W;#xYL21L*5MsoCY<&Kj^IxN>Y*SQN!>(7e7I1dqnO
zdga|M82OxNgE9@66R|o7mSP_KtjO~FZ+nk>(>eoZR=2v$ehNm@Z`ru3>e2nC_Iscm
zupR~2^%x}Fqm}%Cer4*t9-SK`FYs3J*X}D{+uQ>JbigOcXwd&K2#!D$lX%Ur?<cJ(
z6XSfIJNESPiS9LPC!A_e`Q3rop9jvVA}Ps2jg5=NBPLmR3<)p@_ymv~F~q;WPg6Mk
zytVrO+!$O{SkU*sBv1Z~O%}B}OHix*U3V3g<`gJ;(}j`{2&DgXh7|sqc<6T8Vs>Gn
zJ-0`&4>G)zlpQ~935QtN1)u(-j`Rq&-o(xCdB1$yvs1RN@;FC3!S-p%bCD;iWOo5v
zeux~qUV=Cy_}*DXTKog`d~LRwh@DESu6YZxM~}2NH0-MI2?hV2VK{iBH!~*}YaJo=
ze1bg=3EhU39W+HHd9#viT@Z8gJ}NA|CwcF=8==Yn)Ie`}kbl%bs3J)OLax`*nx*>v
ze@Z5Rm6anTxVUvPup^+H^6;D?*!(Ns$m-n;@+hKg;1huZW{r|bR>`$(Tcqss#g#r6
zzqIzCez2j>uxN!)M|<qn(PRp0gE;{^5BFbyZ+r?stZLhMU#5@=j<Y(|!rzvZ5LaHr
z#XXovOCx?7EXVQOh7inT*>uE}uDhyMl)GGP@hs$}BGH9$D-BBPIP|}s9r)K(NzU$F
z%9+@CYiFWncL1DfU~K(yPB|Sm#oJ&Jn#tOYjcWsvtxPV^lhG1rQBYoZ5Vwkj4n5K>
zT{md-=<f@_J|s)4t|VX62j4K!DU;eYZJwkzF01TA;$=IdLKkZj*izU!4%@FY;oIQU
z|K3!V!SD*$P)(BG>1oNNXiC+Oy$>Gm!jL?+&kp*>%?HTg<5raI&X|-Mcs^3J>)R2w
z>gck|AzB93ZTHWqIk*@d!J|GS2Mul41FwZrSwC$3ZjoCdaZK}$@6v0IhU{;Vi9O=&
z@f=KMe?a-UYf>eLT&KU!>N(zkmDyfevjA;}95x*u(;xLNw5P7X1-{>iK-M1BJAaDc
zzDti`X*H1h*P5^l$>2hgIcDbQG|t4_vUFu;&+K|T2DF0Na=v)H7_q(y@Gn4NJbnw7
z-M+ZImLWF+_e|f9K3GjX+QliLaz|DwD)+Pe%P`nk+nQYgu|dUI3~x{8w7o>cfs3?f
zL{v;GIY9#}@E$W-%!`5rLk#gXakH;!Q~#*k<2kC(Z=GH~v8@-D8;;>-Z&?0_ot*mb
z=ShIQ3y?m;oUS2{J4Drw@^-BapVdQnGhbn`cUL(q?irc0ldMHkfTK&AN57g5s|qFn
z>cOAU=1(QHDC<+7kp8Xt<uX<Ac0NTIt))%Pnp&`@F_5$0>)Ee9UK1npW6D@Nph@c^
zdw6pr9_W~T?`UWfdU+xm#q{^MSyi9+32}{m-*3)jiTnq61;~XEB<pJr=04A9Img?3
z0<(qB+k{Q~stlPm7{3P~`%HQ4Rsdqf>ACALT*{yOfzgu3Rr*)%T!!K)hg&aS9T0|H
zxHW~|24eHiM%ef&XLY7WRypfLF+QEoMx@BVb1|PzIffs&1yxXTltTr<c`{t(=RtF3
zMvD}SDK`cK!?)9oytyhwS0&oC3AKQj`0ocGYDd`0cc)DDLU-%j68)1p?Obb??gdk$
zl2U2L(pCt#n}Y`7ilvCvm|4j{+w0ts11%Y<e0j}0q~s-0!fOa)+<!DyfSevdwsP78
zI*(afFv+TN*se|{oEk-NgYxD^A~yQ{pKx;BV9-B0WmhAI+TiIuVAgk9y8fug(8cu=
z3HATZj2?oyJ@5N#=C<SOZ%aFyEwMPUuNps{P4S|YcxWK7nAo<o@%+2U&uUPYe(j`<
z)5C}&<RZ2I*AW%I!U~-KH7J4nM9<vqAOITtVPVYQDwrb0s5O{?2;lPpEtr4zSAO@#
zo?{CQa%pz)wA*rZqgMIG%=1}menv}^$xU6hZc@phoB!Hau0O>ZZ^YZ(DHw`{T&zSi
z*=)0XHnn3K%XtGS5eQe^gUyTZ@b)q<^mvnD_SRj$jjn6xF1cTowZ+RqvP{cC;{U5J
z?`7U_uuPjjYY23B4XGCws7rca<tam9ri7KvRH<P@HTtJ(u;ND0;G}O<Ib%L*z+~*x
z&NBePjT0}~GN7Mq|JT<5yE4#W*YRS}NJ_)K;nM7p8W1Jy|9zh|Vut#41H%iO@$@b;
z!HTCEhdUcZN)%A$(SLA_w^{(HL&BNZv_;sjYjxTq+rbJxEDt#UlnNe;Jt9ESH6pTK
zbmm(VtF1izV_n(eo?h3!VSiY6<fH#G;0`&S-D{xGvVxRIgLDegzib~Fe|-$>q)Z`f
zSlissY2cQF)p0Vhylu_M5=*=JN9^$$M|u2ds>_AcrE#_K>5F4rvwwg~AWQ4n7ipLB
zUaeV^uMdyy*<7NH<Mb6_<+gQ{bVN6?h%sqko0Hq-o5}4oy%ifFM<aaxEJN}qq4Qqz
z*{p{tfr(ac{>e~q2pU+P=U3Oc1Bs?Aqo9c0-C*8y^!4{f@mt^V@RG1$=@mh4w7Mw?
zf2vZa|AX{&;rO?>B2ZXqz>2^0Wi$RIfq@KTL`g?)b2PUdf0n>kIs0zEBA%b!hy)9i
z_+TTl_vRDjM3ceZ)3567m4k;B5JwP2vb?}K0iZG8h<HLq`ETzM2U0@NUvwAEyX_?}
zc^<!R=4ZY}|CT4J9{cKD|L7FaL)4L>rS5J609&bz2Z%5blrAU<=moDy@%UZ7f66Kx
zqT58~46}JxBEj|)b8ijWgl(OE-#_^X<Q+MwKRF#|mC9qk*|nK-%@k2y_llbDJl6d{
z?)v{WzY3nYVPhq<jXB@i&Zfus1(4_;T*GP&bG-X!uML9mk(DR07XK%rSfn7ANoUiF
zc|`dykXx$=rfLfP?Ay^b)_k+}CJm}IjS7EQ)n^LW0*|TDWaBo{DsVFiOhruI{GFb%
z)(Tha#=><A(%;{AhbaFZ$8r|LtNX3xk?ZZLKhZ~$M#I*<b-$`A`SPKrCErK^sspR3
znjhz5G-+vv2gd&YlvW%9)ekOv^9;=A{JRF~<QPK#Ti-{Si*g<>pfDZ9xLX>OZhfy*
zzgvd-7!7$uF1_A7cv5~agDd<rj5PM|sWL<z*f3=d$mG5z3tkr0#}3^eU%R8pqfIuf
zDgP9R|0;RlDg9r5*UL9dbukE<Y)y3|saV;o_?Vf=b;2n+6Npd$_q_vE1<{c0!E7yb
zj)vZ%w%5FL`c1^R?x=m*=M@vw)WQ*VE&lwu7Dkh%b%{OiyJSQ00X<Fy+!UBXb${8R
zBZfOq`Tkd+vkc+lq6wOXE>%Y?`>r}!k}M*Gy?*BhvjyD;-al|I$;kh&uA({cSSWg6
zOXj?*F#CJpHbp{VuZiPPj*mX=f09$+Pzh8gO4Lx-$*YA<vuN>AdH9r0%p^aE080>?
z&3AhR@B&REw&=fD{-SYM#p<ZfPHn|!CizS7aclJHq83#A+D)Kt#hy-qd&Hq+4x{LG
z<0(2VZu$empGh-@*1|MwK==574;x&<IL)oE2<y!D68sxZJ#>b&Up!YRDCU-j4veb2
z(>MONUbr`j2&Po>Kh(wu3}3(8u1S5%u4Nb1L~sZG#ZNle<YSmHQ59CM=HG0bzrsew
zk}e}t0MA%sS6iNWBtM;!{+z&Aoh$4}%MVq?GA7H1eOv!U+il_)Kl@3vbH~pcf^SqU
z^Cfs>Eg2NB-`_eKn-G|T>XviKP9ns8Pqm`%2h!kw(pTh85pu+xtjOrHAI7Qp3)bTh
z%y2B8Rg+zAXIswO*O%Ch?H1K~a}J%omIDrTpl7QI21_RUB770>L~^$OE2|!3%PJN#
zx&JFR4DirI_Eq%{({~)V<m|m_Hm1M!ax;sFKbFNFW>`oQxs_GBvT?}X)!fap=_0Ln
z15Kncz$I`N$Nf4VY#Yx(#(Lx5t_JjQ_Om7q@sTx{SMiaRv(7Y2aL)r8rn`YmM6L>%
zGvqA-#EJ5yxCJ=Fc!eZWug<BxUhys3IU%bJzdskwRS7Gt%cA<Xzi}u{XXk3JEZ!If
zqJ7IF<C<)w?$B!O$p%=y2H=JvTx@fJWS<SPRhMU@ZVhh}4xT$sagPC*e!Yv&q{>#@
ztO;>{wZPb#TREVlYD#AzteH$#ccgyl`QvPqu~hBh9i*ge?-HM662lvop+CA8$wYw3
zKREJmteVq#@-;KjO7r^*n9rj}cZmOmM<6+|aP{|e<t#<N{cCe!Et3O{qg0iM_)G;^
zfyY218@h{)wa6|dTECW+{Nd!%gGPUi8-ycdy2V8|D&Q1UhufY^1GoMqQ#mcXv}qHO
zK8G$DZL5rA3T#QG=EQc3V1{*QL#|fG{+wu&O>!*3<bd(+{PT0d^Sa-lRx#RieCkOV
z_HR+OcL#~{Bn?CV4^=b3+x$G`z9ZoA(|t}-75Z$&UAFp>;LEoCv-nJAqA_gAjreRU
zE3sOmzL*@Sl2f@4*NO=Kx~NzTlvUxscv$`iqiuxC2^Wmcz{Y}AIF9W^lS^8Z%7ZdY
zflR=J#RUdE_LW~v4aJrT*f?LP-Kq;Z916c7Mx?o(oMWc_{a<m+@|<JQeNvu_)1XLH
z&qZWUWF=T49iGub$QDVBA|(WhS?ur^>cxz?^b6bfw&190hqBS-H#B;uZ2+nM?Tfy)
z1@7NDN$gp8GjV4Mok!?G(p+#ga2+Jt7(hsTb0ZYHeVB-icHF<fd(#;`Ro+Q*1-#22
zRBx7Ukng>0_*o|66+OA-E(~TN{adtaQDMpPmo(!u<xs>UMhAU+;jR(0T8W5CtfK*N
z9Bz@zGMT(^0w!vp$qB03GPx92b*&h>P|vfkI=-Fx@`nEs5AMxS0@t?w;>uZLu_3-4
z0b2Mqv0Lk;W$@QKMA)XT1~@_5JYa@tt__RFA{l1V`s#=@==Y>d+Y8Pz7l0P8t*GI8
z^iM$}m&x_Fs+#3XKF#yHd+QJI0TeU{hLdb@PhLKL)PJ*u>3?PmWl+d7j%&GptJq9G
zJo9(`iXLwvaYkRC8V0Dc?}D!11M&t{;Nk5eQ@|9@S-Z(~gl=am0=;OvaGMxZQ9NTH
ziPhQa4Kd*IeP8h?O-{GJoDUpUOA(FaGj8%k0nTj<uzDAG6JWhJI19}BN^@r%Ko6aw
zqE(ac@Vw8-IrYlPIewYGt@bH8TJ@>(@kX9~>M`GdpjkZU-CFs>hdm7EF-I4T6K1!a
zWm@j8#q`+bu(6HZ>exg@sjE-Cit61g<F{ahO9+dKb~+y^c~v9tok~b%i`BZt=GSo8
zXbv&be_Oa8jLed#wRNTir7+@Dx9e!lA#2ZtN9S_gU+Rj9YC89cly-$ETp7@dX$<pn
zJ8fqyOGeZ~5O?n6Zw_v|q|W9BT!vmn7;czkt0CdNxL0}^V43m0W9yz{s4DzJAJh}Q
zDHSc*yo=I6qO#sqxT3w5d!@6z8Y1pw-BXL{rcAbw9#s6!mjrRfeV07DS`^B!x|tEq
z6)`FZD)=#Q<&rTXu(n^NGQup<7<VFC+uQZ?N@K5Ze?~%7P*hn!HIcDk(nE9JXpFdb
zCl|b@bW~hobQcoRy_YE+wV&(FXysMfm^S(q8fkG69c4wh=2&~Q+o<Sn51MATm@T0A
zy7cby*RNku_JHZe9N=0p@ZkpSo?*Q+d#wP@Qx2oCc(E?Abg{xpbAL)Qj}tBq3&x|b
zI$8H@x@g(H(5nd$8pDHc5;U-3i}TyxjZVy4@AquQXEY}~qj(}<{S!3&`n8tGJzI-n
znc}Fru=&F~zxB=M6!(EQuTZ<-z3mT>cJM$7>4VlD5c(iQ;9FbMC$zE3OLBI}%h*wd
zp*y^whwLAq@>Orh9tW+ZLCp>5;Xd(??IVO-Y7&YPZxoRxWI<$QI=|g~Pq2aq$<CFO
zza8R3{*h~tJ<TB9=t+um+>k>$#5bqV?>L=2Um4@uK?5h~T}JJvADa}(D4;-@K9_{#
zk{cZ<x+VJ6ht*|%yU;Y>qiz^ve%ttb-yCYZIQmdbv}M7r1&N9a+$Q}tQoJ#0=q{+M
zp|C3$pQ1vG#S$La5m>V$W`#LgkT)Q?gf9)OnGKE-qbjr&OZ^MCPett)etF3^f7XJ&
zPrVR<1GD)h0Ed0+x~zY>|1b86yL9)o-Xu>+nvrQq8FF@;56pc1+99hcQxJ@1V>p1<
ze?V{^x0Z2H<f!L(HblL<($U52)WZDTMw-F?C&NmZMAt*rjVAKb8mCdq@`u8|8Ani&
zlKlO%<R@SR4oaCEd*HrilcPQNm<rVHFdZ;|77@rJaqUIhFLA#G`0n$@;`bk&*~}_T
zd%xy`&(hDE8e6P~vor0EFKiYipsx&X|LA_QkO~?#)B`J#eXLQK4Fn?{+kOvTyMQC;
z;SB4bQm8oSx*TT6Oy=~w2`+P*Ut?FF?0Wp``5mS^V|o1y$0FO_ydRCWAmSJ8l4cJ|
zB{bw1eYL1I_rTndH$C8KdbsQkQJh@}O3k1o^vCfwPW*~VGO@XXsYis&@r?VHE3`D7
z_gs2?>zY!_HaUt;Iz@Ul20>T1Y!4E)9}Y6~LBHqp7{0qYM9~>uxhw_}PB=Clc7kG~
z7D5J&hwM|_hMx_5?i=UY5g==^zak`rY~+z#C%{t);NRQV<mJK-OOfwBtf2g~R?@4u
z)xNO^2Eg|S82YRhyhNIJ2ij{*_sMco@jm_7M_;#2{qu+8^~6`*^`x60{fmq5g07D1
z@gZr19SG_9Iih2-<FXB5F+;05w7G-GyCjFG>K0MpPkA)SnM^S?D7lN;$7^(~<@vpx
zADccUB+RgWgCEEb=t)&;q&b}59M$fze^%;Aht6y~X2C1A@r=NZ#OlkE`sh>ZpF~)t
z9;OZYpH*HWJ$>Uxqhag?mf`FARL7`PzWI}nP_Zb$^3KXJ-8vC+H366e`A+OcZSTjb
zqP@}W6yTGan>%YK>~o;p7DAcFv~OG9R&s@T-Jv*E>tr0^x?@WwNyi8#>SM+QtTA>@
z!S;jR{m0id7|LE9rMP*<wPMvDWv7Wm5%mL^bGHX6ztZhQl6C}DLbi7>$I%&AJAngl
zXAW!WoJ;ddrACiMzp0d6<Y4j$T4Cj;=mL`VQ?XA-I0$nHQW^y06_?5$0%!E#jk_6~
zV7*t-Ud$=mrVs;C(aGLP$c-1~Si}H8(|Io3@v{r%#}vXVh^wB2TGH!qDbHEZtE@TN
z&WO86dwYkV2xSif1^iIAK;V0mnUuYm`E=mJWzMyEzk`M&^lMAy6llbh=AC!##MS}K
z*{lKRFxrbQdfh}@tclWk9U3tkjoDoW{BWFQHV@2f*iHP+TH|-*t{*K%GS<(A8gD@Z
zp9BR1h)H62D~ERm`<Keb`w-WVjOAF`kyWAFy~*E{)7M1F+YDTPKltQ(3iwQJNF!yq
zEQh-<zHk<-whq#3P@jc^k??vF!0*d`qd2qc-PIS*YgZzn$Y}p3Md&YObB$3aORbJ6
zVrs`UOzB;g5St(N+hFNn@PQUSej=bZH16dH&V!os1U!}c!K14GGovjlG0$d@xisFX
zRj^;Qa8O@y_pwl5TelBjl%bC9hoK_H_NUsw#Z%K4Zt-~XIRwdJ)Hg+QeY!wbLbwN3
z1QoB*OURtC2a_j*XS=hum{VxFA1>cS(^TpEK(Y%Rx9Po}Bs<24X%jwcEsRJ_5F?O3
zM6vjB!owKm=WbaG0pjp8ROt0&0b9Iovv;p@o)3v_E!TGE$G$PYxo+Znh(Z6nI){Wr
zm8BdW{~!u?$>OM^w&_kbBc{xB-A5SAZkXH`^6cc_u*jcY)VTHD(-eK^I}|p|aMiU-
zsbdHseLN&+bhkK>-N(Zaat?z)b_dZrgAS`2<|U(Tq#Jj0n%=Fuh?w;Szq#x+@Hy7-
z@0Zn6#G*6!c;g-iHV<CFotqxr>e&kH1v<^>Toq0HudpFG!e87h$SJev=G~t+Fq0_P
z`$mx&nRL(e`iLVGQ1zSdqa~}j3v9zOA#Itdbj(-7m;yLRnc>;N;Hs-^clv>K%brY`
z-XyrXhpe|?g!!Vc+miC6%+R&Wnlve}0%sB$@VoLU2eq0&+EWC=wKu^oRy2{;#C2E$
zYxD%xc`x~r3!<o9HZaf$PD3;BQi<!|{7#Oo=e>Ok1w!?;W9XNkE-_>kizruz*L+Fa
zc=1K|iveh{On6vj@Zu7DfToZI{G5p8@>d4sLOJgqRkM9#zpz%aXgN&;BPmSVK*xjp
zB8CumBcjmy97y^+(r{M*y)015xT=Hlt+`lLvxi6xW8&iQ?TU^1ftj^etXRsU{7J78
z(EMtOetOlLNM8Qw=0S4+pLjpjQIcDuTUXRLsChYO=4ryppi=9D`(G~Bsa}kvKl>xk
zSHwL2?exoswg1Mg=zG@y2b#io97rGZXKD-=yGy&J#-e<Xw1wdUfpi!GzQdS=OY-P7
z-}lFpFls%+L#;tD2KC5`AecH%B9X&R01=`{c!M~KhQKnd6-WHSJFpVZscR05e5MMq
zoQ_@MG5dlQ?f2%+84HG4bob<gF%)9yrz;?ELD#10K2tR86;;IhpSKGL?o6)psmq*2
zL2DK4b08@$J+Cy_FNALQf%5{kHP-RseyEzSBVn`I*Lkub>Apvt)q@c9vEy1f`EqA|
zp5NuHECkqhp_RB@hSXS~Z<9?`Qg);@dm7+3Jgnn5oOX+|cKV6#n+oK|KS31eqxEhU
z_S9Q%i#s%Ix>#AMZLN$xKl_m7<>iE$d$Dw*r`)O_`}DR@hff~}>#dn#c<r!fRJ;_t
z{6Oq<Pz|s&OP^^1oI((ck`~Sr$kz~VuqPu6k@g>AMUev;)P#G*N?vrc=fxE))p|@&
zb6Pm+nxTzrA+q0~<Ox3)#tZB46`K?V&KXMF>wO+y7mp2w^GyQuGrZ$yu0^C7iC2mb
z5)RnnEChE#H7p;<J=EI*s9xGr9!TLf^duqzpMW5Q1S=l};MvXahhjd=qC)SZhQU8|
zM&;_YxjGfHVnh!q@R}BIKHS(00jq>CjD1sBNi>s=1XpKj3(d}b{i#|VeEIoXb&_Ge
zJ$eI16aWtXEyO*@-UrTpOdDT$_+Vs2IX-C#>B6cQK`HsDn^pG&+9#MV)H|IBIcbj)
z@g~PSXX;qoy?lsKROH#sCS6eeNjb=cHx8(9U3_2k`08dO)vUtO*$#an?>XU5ECxiL
zei_A_yw`YZ{(zN2=49yS$669sA%A9m`D1W|Afr_`tIg>z!5bE=a#AN5iPbWg#I#C*
zAJ;HH8Mh}-vA&DcO=u2Ik8w2MlY6BjEko$E9fG#~;So%9y^9pD5{spy@7w?E`1(?q
zrJvV0paE~E_%ghycp`M!Qc1b@o2-I-VSFO{k&$a7AbBH}@TC6~^}XoO1x6Z&u9J17
zdAd<7ee(EAmLb=W<_W9=<+8XKjR@JMKyq%t0F$k=m$-taQt6!lq`}OfXDyFeQmrAq
z!2r;A*q0#VqMoDTkQW(q^zvb%6}N3VuVM<o=zuYw?+84g)KC$(ZUhXlBWD-AMg5zp
zojU=bp+fLjFrWS1FeG{%ba9zd;_3ey{qP!KIZJVrx|rzDUIOV<>@tS4G3CY#CQjX0
z=;n%zCx0~JC7ktS-P`!n@$uf>S+7X=3>MX>!fNST$XNl&5HIFrVN9jnKHzDCLnfB!
z37T7A`Q^SdRX!SB>9I0-PU6+5(wV554MPn>n&_`V(!&xV&N9o$UYAD!tMfm$pxww-
zRl-9x$->$r#OJ?&2d=7G3C8Vn*%&_-khG_y!y$wUlfR&O^yuZ7UNcF$EP|N7fFFM!
z5&WwS<<@jXvsar&7_TR7E{^xT@{otlu}fa3re5v5G8Z2PI3mK8H&PTHVo0CJwNFNK
zMj#0%LBUSVD}YHd&@A-oO}q$RUp?POc9FF3=)Y$flK3y<I<QZ3$JiHN2CoP&P(pBE
z&BNx})v<KC3$GZCQcVj-C4Nj7KdhOYni!th=<6B`HjNUcGnS{6?hL&l&CSa7h_X~n
z3%vpQ>#a!?_#FcH_ioI*P-1d}H7=Z%GKtN-Yd0AdLX@#uLDI7d?P6p<Jgbq9yv{y8
zlt@N-Y3rrQ(NVHXp?g42BZ?hYI#K!EHTLaxbnGc^<2sdd>b%d<6ZwYQ=YkaV<Q)Y@
zr9$r*c#yy}1n;NX#>3H8c?OF-L)~>FbsxVISU(CMk^#O$Q)bf#I7D0cX{leLk{FP1
zIAjmLO>5%2R1HI|i)pYj{P+?6vDfZxTj{;|mle>o4QPLg*nZ)%r_(c*2Sk5pF^~P?
zhhrd})Q%31qe(zW6Xw9I5^kgu^^!fZXpUuXbESugGu3lB4l!jVh`wm^ba;WF*Y4Q^
zK~DBvL`G{6Z^sbD0gybFhasKB*`rsd(FpkchZu9g?$U7N{=}?9$yFN&wS;j2Y^Q)M
zNUbD|ZU6i%u)`Qn&YbprS1TEg>sPZF$<%n2#j2sZMvzUN{z@t7698!id>X5`4+yHc
ziuR}qq3vh)uRh}q*R|*>EvG7N1uysOd0uzBmVq$#m=^)1ZeF<fIYm>c4(holIq8Qv
zP2Ao22t8+mb5^Y(HlVJ?%Oo#>O3=gq>QcHL#nUg8Vo--xG355X;xlP!LJxSf9H(Gy
zEft*4Xos89tL<0T`@5r_SwS{g)M|d!cca)00F3FCRM7?<0rIIF6RMaXR!BZP0J8cp
zZ}R~#I298A#W{9Z^vU7#1s1^VCS%sW517uh685*!Sxu1O3`wWox>N8Y@<?bY8tqo9
znEqMlVz&Cze@SAx`ny06G66J?iUT877%-<Mm@m*wsR^aZxvEVyhP84%8Qm6#U5)5^
zYwVH!?jU7Zk%Nd-7T4{df2tB+Lxqi}elez^T>#P{&6;`C)F3c`S1TeoL@vv<?*%lU
zvL$bCcg=KPBt>A#vkvOsFU7??mYv+B#7yxc2{GcJ9YUILmk~J6x{1b#$!g@b<3%YH
z@U8Q@3<0B-+ze{$rV|EE9i~M`&u8w)B5YnmHUmaZW#&=A!B7KrkR)#4yhcEa>9Luc
z;dp&6+tctYo4Hh-dgA+1rCEFH{lN%!128^zyFg5;tY5H2h<3p;weeHd#mJl2qS5)u
zUHuMotzcNDMjQFDiR({SB*i4`w#)a;pWUX$5Wq!6$!~Y2+5@u2V}jW9FWc(PU-qj*
zFD^EYEBzUd2Slt0rn<cjmE7(N>v0x%#RL1MzK$c!SdSN)tJmGmu?q4LFsdCq*VYA#
zIOGhX%KCteDVMqk*|UBEZ0W0>Ihje|tUl~K1#2VW*Sz!576~TqKb^X+`t<zItRQEb
zMY4$Q%I@L)Q3KE4nyxmG{06k)EiAZ6Cy3{Ij=ptdI;}GZQnN}aYq5GN=KJI&H=6>h
z+m2UTVBYD^8v?1$7fT@_O3@cBd3DI59oIg?^_BcU9;q7)TVArqw?1Y$m~!vFca@j=
zCJ3zm9y}|M;i4B6f9cZ)eiOJYuo;!91^DZOi;QiC*aE2&9=22S=#B~0Ee1iom%})X
zpP{^K4oUo_uCzj~&9-lT^nQeSeGO`rPec|dS4{*Mse!ZDG(X7osC;RXD9>xUb94_z
zn%!Z>zz7pxjNUkSmHj30vj7Cqs|REU4MrS#w&>c(!^&rZiDTN~szw@O3%tTV)ZN-8
z9$}{M3eh+_gz7Xb;bElVBaA)1B*&lX=^G#WSJwA<bsC!Uk)xAdfBv@4qh}Se4Sg{9
z(G|^?2!^6Bp_t2B*^9+s0V{*Y$8Qv8^VAqlXSNT4h8Uulf9=bo%mxAyav)=q+#q>*
zn}ne-Rz5j3D0Tl-lq@iK&?@rw@deQLq4%Au;ts7i?^kkFEj^QoKO3hvm4M%Oi+xtl
z=SH`@^{kN7?SiA&uxn%?FJ!|c&2S|~+*$G=cO?PD@)rE%GDqJ73@d{nrWm%KhxXcb
z#GKUv4$^@uztdf>e(!avAw-fS6TEXEi;K6^>{uRrA`o?$t5X1ma7=XQK2)uKiLa1&
z#0pwDai<eG2);`0JM!ZA*0fRUzg^4R8<k!jZYHKKi@q*OR*^;K6zkm!x*}|`ICCz2
zEOC*)t-J2I`ubRZJx+W#&>+dS4*d|5xA-1G>yR9#mFg(n^~U@6It(HOPYu}=Nh#ay
z9EMdT=^pe>8b0&zx@v3VES!=vr6Udvc2r?4X;Jt_xjgN4+T}8K2uB?l8NGO%D=f~K
zyjzf;uJ7GRZzZjYpY5au_Wvvta^HpL&XsdZUP>|5ti<mlz|v@HTM@Wi3$j=iMdk7v
z>*-x)vi5vE+r|*``NbzI<00_RH`kHyU3mIs@IEkQTDJXb7(Qvfh1lQ&(3~gK3`C@C
zfvbxtLMmp$>?3nTokzt75pGks%%X%DgECwzS6Cbcy7(7IN&R?zKzAYrEQH<w4=5jK
z9A~{we~l(ixz1mQPE@sJ64QBAx9}_dy(>PvUIsG(%yAuz0`A&xEBM}fZ<QR#>uIH@
zv^J8V-yP(yM`_-qdx^KRNE?44Oj5_f)06XkquG~^$yc^JH<Y4b3AtU%2)xcs#ot|h
z9S;XKCm^No?L|5*e11XQp#IM`Oy~n4uLs_szm!gA<LjGROxpED92S&4G6ax;m$cDi
zCRKwGTcC?p!WQM4wFhrToXt{Z?EE{L=<+|RxJcw31Nja{B|#!*`hz$oID=U#>vQN&
zWvJ`4>5kE(7_G5fUjHmRI^($Mt-e@R<EK#5i*hh}1zaj%SoeTySlr)Yv&osRp8AWE
zZe8<YG+OBRHy%oewh!9J>W7Gf61<Hzu0jv=pCAPW>gl>ry?qZcf;ZA3O3Ys7R}I^x
zjbC?qHIs$NW;-uJ2ZYZOxH%hduk^2j7*W^9e&Yl#vBWT;EJ@nZ)VX=MZtDzu8z0Qn
z{<y{`sg<_YwS6iB#a!)U<`BSPFzw%a)?3D4LH?`gTl*lds&qjH2T8rpf5pwu(_3Z0
z)dfRf>Io<m)eAL*0wx}?M^WgPRp3L)w9OqyP9%ujKlhV3k*lI<lhENjpOLRE?flZH
z*?oV~+gVkO>C9`I)CC3`N4H~dri{-i-e;)TsQ65YK3NgHH1L7>o%c7cC)=LozT2#A
zIW6&noaBHGDbfyLfhQg@9SOID2WCUicWR7}5?pR;B%kMT4r+b4dDT^~nwe@6D)>M_
z{1in?Uk2i`T}zBxUZg<3^7yDsn=SpymE<*A#89OT{d5|~7&2+>V;_l@Jy|$!@nDib
zfHk0^5O9Xem1&sSl@w-1@(d_Mcd5SD1%s2)=vsDZw}0x#epGTAk8VgP!`+M`5h=sP
zv(YL2cH<t|H~BOtz=v=z6Zc3(79%4*ZyF{d&scvvAf*J@(uk@=Uw#6HUm)?!7<wNx
z0^W57%=o`Rip-ZE9y%dr0mIZO;98;1F6&u<^_be&xUa+>y%HA}XJ$@%@8qP(i!ENv
z(X}gzNt%L7syi|nwQ+Bp9z_3Hxa>~kr^v{tjV($MJy1^j>X&=rs<Szanp&EQUG4Ur
z6)zmjT;unSx7d8o?;pi?IWY?)sHSp9s-|w+rhoNnFkaEUuQBuVv><(T_}MKlb*)C{
zG$)_r32#?MZPCJAO+ck?wulcG<){ZSi`B|IN%Hs-P-PVFCo2tWM{fz<P?;5Jn<VmC
zBV&*-apik1uf05}LzBHy<-L=8c>0FH1RNhD>~p_@C{4vE{KiJ~<$?R-&rgOS0tm>S
zOGc5A?_o!^5;LOZod?=t%T;C7_sAG6z8JYq)bA9=LESTbk}xW(abJ(b({lApTis;{
z>T)yJOY8}%yA6DR+%CHm?Qh0lfbnU+u607OQE|UH=JhPq;)ufpeXLa?fcgNfdVj&g
z>a6RbX)cutG;d{RdAZ`+8jF)Fay^Q9>v)+mlMS+erQbaQ&0D-?5XM_Ito&l{k)mFs
zQ*Utel6hqgqrK_gYdFyE+?WpI{&YkpI4EntFzup2que#aqQz~SFWnQrlIrk#wxwBA
z@L^lXT?>98&DlqrUSvlCh+(s6zjcZMDaVB`dd5lI1?ws5m?SfPkd>wm)#RN!37t&}
zEy{6rj+L}X+N&GmxNwXB=BR&$0d~<T2HmxHyo_|2OjkXAzy7h0A%jP>%oT6C>Im^9
z$^H`*f%ie=10ZWNeMdZW>|wCE@yg&f`l-n6kt#gu5ypJ*glNOB-|10bY|)0EfSuu>
zWE3#<ZOV=3dR%j22D+RQJD;`!joUJ9fyX2BZYgUt_@DfEp6;5zJ;bZg6^c&6y_lqs
z+{m;u%P)t1K#26Ca!e{=BIDHo*!yvC*<%<{xdeSqv~WL?V0jfWdLFUIG$Z-Lr;!XH
z+aaabPfnJ900f}qJvmq!qTU23RIT#67z@`M9JsF%wvXNrNqw&``6$RUc?O)K3`jZ5
zrlIJMq!rYr0s~-qt7(cK=m5w7DAR;lbRiWl-lOBnDI-=tYp0SF&t2m+!7Cl4{6o(I
zj+@rw{;4hZFj?4<9eXfxiQ@FTTA5oR<|rmdu)qG!u@cw)FOr#0i-XV~lzy5?CuXd_
zQY4N2q5MHIHBRinO8D)r&>t)R8O~Odp`s&86FTh=n^E<JvXVO|iRA@BK}V$R%f3`g
z-bj=mPup|C7g$REI}Wb%o(akadhV0rf2udxv>UQIH)x1Ku!h`MV945f{_56nT7h0a
zE%jU04cMcX)=jI&F_y>Q+Ry>e8RzAMXXWMbaw~QVhot_M#2=&qDMl+!@nYO{Q+v5U
z|N5_^sf)Nh{2yZ9%r8z$#IDxgr@tTmM==K2Ni7PfKvr5DQAb54$H`F4QL{;&yzrW+
z{8g8kT0@oeyWzA#xoU>+^Ou-x$bq8=I%$c2@Q>5o49oLVYF{IU&tekaZTS_|cQuZe
zl<65B&)f@j>Ss<XYza60GgDEi7?67D1!`Fi*I@LS1FRNcs)fZK$U$M&NHwzt0Uiaw
zU&6Z>G7Qz=Ik2MA>W7~6NGpBB3Onub#sLM~+VB3TkVub{Hp7>~<Jl??`3v8hkHpE?
zn+368brw6!c&l^!mr=D)vtvi-X$i(cGeI(rc_$35+Wx#G+0Az1+lU7AL;xv<w>Zd>
zmkdD)foy(ab+mx~;w?Bk2mBzn_9FM%6w2JfG$(iPGr;xuor*yt#8he4xH@)k3rV$J
z`}2}EK)Bv6Q-_?*XSt1g4VR@&7jL$BZL5bMV#w%1S{jL$oX*CNT%130shpI#%hL_>
zJ1oNLuh{)}2f)a-_NNS38l9ZToNeUMw|VyD7E?2KMf?g;yLYbnJqjbKW?#d<lz!<g
z_ofEFi#xvuj2r+=fEpgE=?Xya0NY>}l<i*qZ0coho_7hxGjooksQ2+~^6r)Q{R&-$
zlhWJPT$3JFCH7Yl=r(9SBEc6YUFeUtlJ)r}wXdMJFrDZ<%Ma$(b}#NH@ZO*W#=uZ?
zvrn$XP9IZ;9SuCuyhHit1NrcB;hpHMGW3=s3^Cww)$o>c+^aAjS%mTBdUE>heEaS#
zdK5Zgr#ZLA6&TA~P(1_gmGE@3AO88FT84)Adw)&_88awFkAW%2;Fdnuf&yf=cK<s-
z_?FbTZM#%kZE{A{N?$z#>cx!WtBWp;3HRNK3{d8+QJza7+KbAzNYPrl^Ya;}(m^ST
zB%!W9DhByKFwuPgCVGN7nbJ|3CJoEA(!9^3mM2G2bXl+b3o9Eit)&9&*(kiPt%Lo5
zI{|#DrNj#>p23x~!AJptfK@sQ-ytN-_AtF#-o*dq?za$Bh!wj1ZpfV5!QBwwwZ&la
z223kHg|90N|NQDOoVLs}{9^|+v?UnrK4OCU{J@>%+5<??V~ZxI-w-<ngkunzW&|b+
zMju9>`v4c2P<WpV@0TIb=ODlSc7WkQoioo#W7-Izdb3qdX1j#ZvMO(0YbB28PovGZ
zBsxW^Nd}<L@6ov$<2}c^J4)UK0CGq%aP!k}bPT`x+u``{#jD4Xf#1FvKP^mNl$q>s
z@gp<*3|O51Fd&XOKFSt>9`V3h&Stj1+H~cO8-^5&a5HOZoMdn-PUiR;WXb3?Vluqf
zG{$v7&B(*?GJU@*poQ&`q5z`~9GQF%+F+b=gE2X>IVRF>N*OcGTXPGdNS`RQ|6>R^
z6Z$c7;O^{@%;tWFhRo^M5)3_1t5JtBI4?uM9nrmQn4?HYsox5NNtujl#&zqQCb5Yn
zX>t+>y|1`~#_^(LB~<%vmC*P_IWTivjvu(hCTAi(I!-eYmhEX#{lP8l8{$x-SF3{;
zkt_8w_#S<Mty`VlXs4Rt$3N;H%MY#X6d04U7J}B&Y?aH?SSErXyr8G8H}SqNwz7m4
zXS0=l3eWt_n)x7T1;t+%fQR=ehLUdRh1_QyI&INw(|V6$#(#vEvc$-}e9Yp*d4=AW
z0_Jj6J)q}Ew{yRF9c9>z`nUwVs89<&(YW6NU#OmU2fZX&PwM9`w@r%d-7#|6$vFOG
zpF7pZc$gvX^yV-w1EmeHwE0F}y?nJh&A_ENWJ}MEg`3&&%$YtwYgZg=Lzq1`ApUL>
zWedPfc=+L3q6^|P2^BKjju+d^Z(SbrMYLr=*72);C34=qg-0AHd2?}DS6<7KC|D@^
z$kaERY<RnQ!0anqq<>tnNtgJ&k@s?sGrfrB0Lv!KQEB%+NtAJz5PMD0+`<?5{Dg=l
zCR2H_-<A2o!`1aR7&#nGqalG<O$i)ie)kFX5h$DqveW5tjb;vNNzgUkfKz0Cn$KRn
zBS7P~C`hZs-$1FtpCEjB1}{<c7YH$z^*(<;L9IbL_8H(~O>a^rJ~aE7zSzZ}xl^o^
z66dJNEdOl!mvGtjp6ytGuLw?j$xc9phZ~sU&|otuGVv0>CXC{DT~2(*c+Zfy%kLCZ
zOcgW>4n<2%@Gv|7&Wb2&I_k+e=$KGjLPe3tksZI6K-sdOH)H@hVP#keWHg5~!BlUh
z(v_~5*q0_G^p9yAh9K;oZm|<6vf!<Uo_ni+NQ3-eaf_cKH`GsWeFU5pTD#-5)rm+S
z;z0ltdRePM@09lRv`>$#7JunUyT4o?OBm5_l-x0y@IOF6U4qHNFEkIA4ICPG?~B*Q
z9f;YfZ(a&D2ei|n>`#G0FU_Y%Lxal!@U40+dveC*#&!vN9tG)4Ij-49gfvU0EuLGw
z`Bp<5*u<I{<!MO}^swFXH|W);<DslE7H2I|;TgisX?}?dFQ&tLdXG&#Spj!CTE^uw
z!aLz5+|?#YX*bB3>|d@Dbevq3LxTGuKQD+of+-}wdjeJ`7!T*I%XC<4=-|HN@zhH6
z)ly<kG?)6kd0aSRL}g{)rS3B#gAvsNSIvG(RCNznjRf(%X%1TZP}jM&vMN%QZ8aQ?
zTJy>=G9ifzJ_)ASA>zQVPZq_XSG%=lm-y^KYB@PH@U?5(FZ^tbe80bVyS-Hoamv8&
zh5%Q9@uSx#q3EvI(o%}H*Y-&Qzwt8W2o^=jAwB?{Og6Yvi}4@M(nWWHSajzhul68*
z{ZJG1QNnZR#n(B~r&Rau#@w_f$8-JVwi5K{K8%Qs4cFoAgHMVMc-~nV5<-66H4<#`
z-pWMx2ms60;>rOe$5ya>yXyxnElrbtC)?61hNtKprD$&Ev+DM6tR_cT+|u^^qgr7R
z6Rv5uz-G$|P~b|e0Jm#$JG{w9rfMvebzV8LbY)bWRAVN3F~B`CSG*gtdG1wI7LQr(
z#`q8%kRkg#J3jKN=t-CLG?2*Wr{vKwk8u)$&*d`+o)J|^<H1wiCd9^QzRYAe6L#%t
z{xDd2mpwL3$U=SggYr`BCW=!nSz8(~F{2&K0Ap~(&CCq^51fl}4m)5A2}bVIMWC5e
zd1@EdzMLPlHE2}(x!zvTz!zvl+=`P*Hg;1qvjo&`BvvvvAKta|ubEarg!h*g4~UJN
zFr$p+G<1jq-^)QMFHXxKK8aHL8>IQkpUHS!#&~wVjz_TZi}Jo@m=-=W7?AI2!i2hK
zUN|CJ_#&X_(=xB04XVzqNE!RBEga9<mHpt_IqzPrjLRJ>izu?Q3yO7A<5po2e_+d0
zr`A(o!S$H~W33L#Uljy9<m=aX>BKA7+lPL=e$%_>wY_DolB>SI!@X-%cwP#NK{xon
z3XByV-%9(La`n0%Bq|reYk$fv%2#2;zBX?Cies&L7HW9_^WH8A2f+P97uN@y*6VJ(
zib001-iNjH#<gBB+Lk&oU=9NWNwbpm$dU01fWrXa_bw&qkK3AmzRjILDngi8!;ia)
ziV9oVkz+Qm?UqL$!dNoY$^BIaBkuV=W+@{wbVKM|KCXF}`Me)(uI^di&s}M=%=^k@
zf%8qR*-y@)`15ZA{*?%<w;6vraNUT@lKE~Zbae`D%{l_SpFGzSaKtUY=Fh$B3W;KE
z#DiO|1M3iUBolBS6yP5SN@bghyN_LeHlomA0d?=1*IzSaKh&zfk1TbTCvc=|+%a=#
zbh3VuJH`RT^;05kg+;87?E}bX>Mvg)pRWq^LA7D_(>PO5#f!4qJ@1YT%yM7HI~EU(
zD8KQgLA5Li<bM5TCqu@9TY}N9rO+(q4n4%C-HU!uX;x3(NIIl<R4o-_+q`SvfxYil
zz8+VaI2QPvv1mEpAdot!hb&~RI-Q{iB3+PA$t!@-eC2$w4T>0J1-{J&J#LeTWrWD2
zVI{|9u<_1|JK)H&rn|p)k|sn((c`_C?>SN2?tDf_KJh3w%m{B<|MW49o$v5`G<q>q
z)v?9xT#Mh!tIGy10CSqT)|(`|>>&p0ksOJsv3jqi)=ZR`gUO2EZ+M4}=h9Mfl-%X0
z@J;WYTTHjPd~4H!`UOs@rT2qfmYqy%pvSDvcBUC7Bb2i>h(6sTaJGNG8LE*kO)o3;
z@%?%M@5yssZJEhx>U4i^Mck`({c}MbEm7bJeskdgr;HbTKx+SJ2XH2%zqiwmj=xhG
zDyZ^SN%#2+V@(Fn&M@ZWfZQgI9wp_o>T_csT7TcUhqU%hha4eGw4SuTt|nvC#T*y7
ztza@M$=e_=%Mb_Q=NVBNr>%*j>2Vp|!0jX;uR+CHzqPA4aQTG3EuXm>N&h39D1Xia
z@an~izwi1mSn_&WXNryR#tTgegGUNp$|aUPr82^}I$mn=(Xs4|+&$IqjrO%h?z=#y
zI~&(C@$;v@j8_A;RDj%GM%L;K`Poy!>AFL@XOC^}DLDLG=14wEF3yNo0e*uDFOmfZ
zZqq-we~QT8nCq(PEO}<AJC7D;uM07sP|-9_r;hmEUk+LD>V#}@q|l%*y1;#id3NZm
zT~B<0$=hG`(DRJr35ktt1Cv}AllO0KGr<Vu!b@As-`#aY9YQ?H-_5rRc}Q*q8JL(G
z#O4k$5<Kwdk(`<FN9Tah*1#n~-l+48%Q>r@D4s6ZUekNa`|BnpsD1RTj2ZTR-jMR^
zqf$pXlxp4Y1K47G2u=E<ckNJ%H#udf-t?M@_SmGocXeoSbs5gf8mi#>?}<)Xak}21
z03U^`Uuhn5T;z)VXZeJRN%PK=X{8V4<91C1P|(ZfeQIXE<#NZXODJSL?Hws-Kd@?Y
zxhn%=*3Tx;=rs}4(aSNEmQVf$qChW>P#EXlP&hr9oG|9)ec535^IV|WY2qZoSOpwA
z&eL<Mccf^)6<^?E>^{8@^H{n@+fuRDu>I9FHUyE6H!h1Qt6L5~rI6bB!SEp8dA~P4
zAWe`s@R3}m0?h|UqEJ7VP|#%6mBt|}nbw?U#iGHt_^Qx}q!X?$z*bu&#udMvhV5zg
z8UT-4nEo4UYhPpq*ws>%A?)p&8SAP8P9uU3GF>fv^Po$;4;ax|JFU9i8mT=*cNk}B
z<mf_18@(a@)Z}LzezPd#3RyJYuKvSLZAzoYtk0=~EDp9IXTR%o7yN3eZa3(bGP<0w
zdq@W=Wpw%&g{Oqzbe?7TwNwqxg8WW~SI8yr``qn+J^+3@c^_kf+81ya2MSCLTjs|F
z`R`i~<XGUP{I#LH=A5Lw?PrVQFGk+xw)o=Tl}Wi^R-U;{1(cBQ<z$Fj!|X3R1pJ*2
zxiEe`G$W<zm-3_RHQl><eW}!%^t5jqUY(VtVkrFInd6q}qK?R=eBVilLyoy6CXJn!
zGXP(p1ejqJ&Af+%_CuqK(`SX-oQPsAzxN~}?r&|8(2956Tkv_z&VHEN?%XYl5+c)7
zz2frDJ6JP@O0g!uddI4)GD?Qp;zDoRDs$b0xa>Ltga8_^E9||0a22FV()(5-B^Ee&
z%PxuFQ<QZA@sv-c@LR-b;cUSEHRgm!{uvjB0%<Ak9Mx%{@?^O?gpY@%vMD`zO$QZs
zquqHrpT_;L+EGPDJkzsj@j5Nd!u#h1a5ji=6tqxT`nX+|;q;TZtL#R|e(lAr8%3u8
zF4X7ecD$W8IMXFe85!i`U_^MSx^^%p6MdSrI)3Vw03c$C<(H#Cj?{+UD^LI)tj}uq
z6fx*{5)F|Swl5pp|3a4bDa>Tb;1~`PH6v3?{(m%m1w&L_+b$r|-5ny`-K`)XAt)&&
zAYIZqAl)5OqcliLcZYOKcX#K+**x!e{=w|oYpuQRE8$OPpiT=w945UwlpqKEQW@lL
zr|a@^WQe?wuh_k!4Gf+!Bg$ym23Rq5)Q@QBrDX<KTCC4!0(zh~Ub>*|92bx_16Q9f
zbbjiY<56}<GpVqu?zJg7c!h|B7O%rsZWRk<Cjz$Va0n`m_j&q?6l6nnV|(<IKeWZ@
zW@6fsDC(9`KVemEr@&wu>F3`lqF*T@@Q?WDQr*+4G9{JN>*v*n(vs&hvd|>9x>HQV
z^|mkNb#tPZi7MP)ch=J4C!^8+>$~6)n`{EU-K-V9o}EpCnSl=52fmS`7c`qonXO?&
z%*YCSNDm(8ykZv_mWwBHWFl*L`2ltJgiAk@7n+h&Y@Mxg2%cA-+)r-g^Txp?T(R@c
zOyewrU0h*vkjdYX^oVJk-7XHjZuLKz_V6*t!+2Vj&#B|8xao4R*~YTqb(x>2wr}!o
z1$m9fFOpZ>uKTIAq7UA}`R;nxH9;i#OH1z-LUq}&(5{hs{Pw16q(6<Z@1UX}j)W+7
zTo|wE9#wk4Zzv#Nc>6zC8rAH9{Y!(47I;Hje_VkcuN9f7+~@x}_WIhPuYEO9;JeAd
z(?HfY!w<***_om7A_1G;A1po`KD*9}A5|;ydv=sb%sg_j!2J2{h*unoKovUqOn%>V
zsx~Z_F^}WxwcQSk5O@bj204H8AvsQdt+Dq@>DKXZMis+j<>4QY9b{{4fH}78de*Mw
zyfo~{h41&~Th2_L8Jw?tAFZu%BfP2q?M!cA#}Owl_a%LR2FY$)wdXX`-?ZiuM8uJ(
z0^0f87vTG+HCmB#m8W%U_E4r#>Dbya>=XB&yKsv%!$+9)04*rrMafytB>&X}1y1`J
z!XL_S(^VS;wh8ulHj=e!O3`$YjZOEmlkcdn^F4qk(GW+H$d)>5z2XuFT3i49LO-m8
z{uQa=-=5L6=u70Y3_s9_L(cSU$9cN@G45OFbhdVyUB7}VRmGXr82CWXIus;LJkIxu
z!EMs=_+V}tW)m?TrVtrcJE`S|S5FA)j_+Ql3wZcICG2qBMEcotqYy|=>L#Gn;BoYY
zefWlxyS&WH5ST=c4j$J&bTgfh_d9{aK{jwf5TF{y`gbCi785;BH{Sk8N4pJTW50!2
zyr6@2S6s-5veOoW;oJCr0j}G(6^9>*M>S>tdoP_w$hczL@$yo$98ZK<pBF3FFVa<$
z-c8%Aa>STgCBr>Bu2#C$)gJ$HIW0R-4^G<kq<xLTOC*>k_)Vyu7fk@s;a`qzY?+AF
zv4~v5ftI8hIk}G4N*H$Ca(tD=kPk$t0wD?O*sA{E+qw0-Te|ZbPUT8D7;;XToI#JQ
z-L+i-q1wV|fv|j#-@{JYS}2}hr3p*?dkI1$`5+lgk$ax2KQ&$X6Pwe=s4A~s>hJ2*
zNahpitLkbBV+(2+C2an8tZ7gqiil92G)}8oavRiBA%Fe+Xbl=<o&WQ#-eGGH+qzm8
zS_SHWtQog^4gLzV!?Cn?7ybQpudgC<qBkN|Dn*t8&dA8yp=SG%<7J!Xujn0Li7-F9
z(c29eDkCeF6jHh{W;F`Ttw)IxcBo?fI3)`-$_B^chP_kZiYf^2VTmZqV&$B!PPJ3=
z`8A>Padqth4!IhSdpOhq>Q%PaXuOe2UOBM-z$2SO+lJv&FJkI@t#C9de3)9&OcAqY
z%y&n}Z|T8hDtx{d1Jm4FgxIeAGaBb!NsncJAFY!(J?8VdWTW92O{X}@KcL@be7~G-
zz!m;fW0J;!qU&RA2<UHn=^K&^X9rzp-nru3>g=EI=ywH<(dr|MK@%M=hrP3NgES)^
zYQFt0Z+IL!@mPj|TaF)p`JZ(x;4LlVab}3a3shV|4?8+`&s7iR9lL@o;fze^fxdL{
zj;OTEI_<}j6}4OmO;zSrj87qT$!N&;+)v6<=jxizXRzp7gmHks{|mGe8L%2@ov2Uf
z_>4Y|+5K>`n}FHZZsd0Z*<#*(%u=w3yGvxDD#~EwaV4{&Ebh+No`?7H0Vbf5I^Rs8
ztf}c)o%{tEKj^jf5gnF3HisutJ8;j;cD_;-KCK7hrW85<hz{dskUcJgQm}N!5Igu%
zZVCwLu4gK5!i=+|jvPTxOX7p{A;F#R<mlGo_V4#<KHqh%r(xr|6G2&UUvF#=Qdrd#
z2ijBF=;U4|zyI%6NsjdFFF*zAV((~J7)R@+_iMM~>F0&qEQ7pkI$_Y^r+N;^MqC<L
z%z6rCEmtemT7Zo8C7b&YD}tLvj6`fu^t%wt^MZKf#O<U9-(j3AG4`ZjpBOuEcRWLY
zs2icw!lLhHuV5j3lN27cVPgUhA$cJPpX7%**B{LMv;E}+=ttJjo7P@FWM1me)6<5(
z2F`yJ<ZmbIX1t{s^~!>q4gtx!X#8CDIbI!=p+P%|)3>X=h}8~~ng3h<>u8<$WFCM~
zV)g#GOizEt?y1M9T%F%ACuM$E;&!P0cuh_GRO7yf7$os+RB%qh`8?Yv!(!36uH|wb
zdrdJ~Vze>cj)l&8d*@T1E6zn+Y+K=s=$2o^wrr6lL=5X70~eX6fu@JTYp?Wo+2b~l
zFecGe|7A5}wjQn-gP0C)yXb(oKMCDG6S7z$@c3h3Mvg{C{ss-liAL)WSo%z*!9*FN
zkLG~vz>yzJ3UQ7?lf9%T{bwHX-?b6A`*)uC-?h|?0f-f^jV#I>tk~>GLVzR_Mf7k3
zo)G7o?=)KXkLGbM!ZBNjXbcJ*-G$N`m`#0?Mc13hzhBu58A=mu#BtFNdh-A5U<{Dk
z=7;L7YKz>?o7K^0=Eq|q^9&f>|5aixhv((Rd5toaDrD92g}&E~Z?*I_vTfJ90=J<n
z8U=&5vm$1)U8j^34P8bB&!)OvRnf3O$lv_FSDq_k3R2)M@Vu_PSw>`IX~V0|qWfEs
z%fxud#`ugk1_#gu{5!O-1IkkTmH56$vz0}Dy!i(+N5#{Nr2hSvFGuhaV8>T5fq~~H
zCp$a4gLEVGT<-4%B!Y9-x{a!f;cG_G1;-}sL2=X6Wxg?{QqkfT8`KJ?j&&OgF?z+9
zs@r~MVd3IB&i}rrK|4AbS77rJDx7(v7kOw+c%;Nf+=hV>Q_*n-f<O88vPhOD)ifpd
zl9N6EcH>VL6qvj(v{e`a){CT^i9IlWj|pKX?@#9}avA>j+Y#_P``6G>*B?oDTYm<8
zyyDFG0-E7zqQ25KG^*kf)Mtw_9=->;-o;Hdt(g^PKLM{vOTxwZ(D3E`iSJC#;{-i_
z16V}m2knCvsCq3wFUO7{hU2dtM$;PvHQ0B6<g>}6rS({jdi66pJEF9QgPdH4+%UE-
zrUOTyVs$VJ%3)B#f5_+kk<z~W2@W9BW<j)&b=0-eW092C$f2}I<s0iy-}h`n?O85G
zI=?#-)C<1L-}WX}HY&qiFu#`dJA2jlze|(T>?a*+uQAcR_X2PR`Chv)vV^bmw6`Pv
z(JxjgOgDTrHk9bm$zQ*M0o;=9hPn>Knp@;fM_)&t#86=@IqA>v1sfkxn)2hMB*yYz
zkDUUFH+F2-(I+y-)-ul5lN_q_MQELWL4<0sWLoICV&&j{R2E;ZDVke=XfKsB@|#q-
zteB2}*0z8DwoVW+6T$9W;LqM8^=E;{T+OOhG9Fp|e;)uYSCBZ4PQ$LBgbCMmjWl<>
zE;ed~T=c8B1fsQ^hyP6<0rUY{J2$Is54!_asSe@#_;tb#G8yKeTHC5f&v<8+vrKsX
zl7m6x;pOk!BdX~K5Zl#+k+VO*1AK}%^QA*u;^2~8x8-Lx{^<H-d-IqcE0oIiIjds3
z*4^q872YXahr_+q?6fRqkHg=-K@^kJ*J)v>g0p&qlSbU;y47u<()r1oP`k}x_F=ft
zvHf8eQc$;yBKDvwuSLSC2RR0TzYUf0eW!YllRq$`U`@GG)*Sm#DI?Gb55koyX`#4u
zc-izq=Y$_vVLhmUpMgLu79AbqdX!;oK%L+qERjkt$N$%WK@}I=rIPXd4S^~mxEE3v
z#r=~4Tphc1Z*CQu<1Q^wfct!2(ZaFl(Td-%vNu{EXduFw&3YTpIjA~1diE)pkClG>
zJ}if}T;(eM%@oVbgXI$+Nb_~Wly|q|6rqj0R*GX|E+;^JCxt(vOT|`(-t?W%ap2Lo
z7l}HbbEONkC9r3T*f8V=rqN@A<!ZVIQeDR_csedy;$Vf@VR^2eqtdEVZ<qfeY0Y;l
zW^YXFsEn6Nm;9>q$#Lt-m?=6S;0F@Ty`u|zRC%)^41l<wp46nF*Kt9o>T;P}=z*r;
zG8N@}fa=LGOTz2hLMbQpOI|vT%@X{W*GcXvSq2EK)0mH(Ki57V(L{)^|22yhErb$+
z@81jni$>gL;g3ZgDYub?JLLYttfjfRzpkMnZs2#&05L|kSxZaHfQNg1j6u^Mo{I8v
zpW{ek`>mxVOf%E@0l9Z`aVPuxWY`SSC>D86R>CN>|Kb!@SRmD{gj)j5^D8S0bE~Tn
zi0jx)@cUw2=EYi%B$Q0>@lA+OYC{jc%<^h1OmECofn4}4jw!x%uT_-4?CdIiCZp|n
z7{$ZJ`(L%HA9v9gtI8zqzvAm-%4*v{K42*J3Ulqm>A=xJ$-^TqFukmM%Oe5Bduf0J
z2#NDMHZx^2uLvXlyNy1}7@?7(8ZC9AJ|}CHO-w&a34+XPZ0u$_LML0++7_G{V?srO
zMAxdPYcX{+uncuPp^UrY+685VtUZ6$6P?Rb#{Q-De-=N{y#?G^1+6EjPhVDsEfM6)
zEL`T{E*q_G6*&+4*B0!lTZ%J}bH<HGB3XyrkH^WJ!p0uU6yrjQiGc?%%^D|jz)LQ>
zXYg}WEFsi3W+^E`<s+X=ctP^Q=Tb}fos_oUut78I;=IRk0RZgNy!9f1)r=na8NALu
z!GpBR)3+P&#EPw0MXk^ywCSN2vq;LgJL^tcsPJ(eC3+9%U+YFFCDRH3?Pf|oY$qAC
zi+G&Qbvmku+!Mx%?&_|aT2a(D6Z$am75*&ilvdCRnEP&X|D<6dnItsirTJw%S>rVf
zMI{}M4#z_LV)iTHft2Ry>fxXHQ_?6%vP=6zjn^tAT!pJ?8!{@qcJ29(+nCpqfi_bn
zm~^G#g0g<a^&ei3^j=KkD(b~{igk+;Q`_<ud(7du5X-4UOl8D}ApP#+mzYd&Scy;0
z=gAm(%pX~iX|PB~+($xYlWNz#OY}4e_qDP;Baro_xQ?;US58Rica$v%7EV|_=s>;&
zb~Cng)>+XVIK!R<{Q-A4W4on2OU@dsNQ15^k+xs-vq;3jweUdMoB&LXC5)`!*>%TQ
zj;SMTM}aO#Aw~D6&{WcVcqGHBPP^1}a`tRA)D5f1|9ZK}#X|}R8EtR7U9<&x0-2o?
z4OqhFv+Lwm%`e!wG?N3B_A`PyZvWc$kKLQU{F+Ay0_UT{6C~kWjrZN+?h6)aFE(T>
zqPm$CxxQqz_M{g#g>Z%@e<Q(F1mj5ByWr!rh*)YMo^nVz%m0`+_g!Tsq>4QE^7}QH
z8SuGy4w*h+^xjylV=IB!^L2D+^1Bb9n|J)sox84~Ytr`-<ZN(>r;CHCoqHb3@(@)#
zTbX7uL7N%F8q4uj%OYxz)_wA)E|CRG^D?)`%ZwjBoKYAkeK5c#q8GO2zGTmQ1~gsO
zpdyFQSj(B9;SWMD(6BQpgkM`>zR=Z+d^_^@FYcy{<IbOH<ZtPp=w)_zu;<?`8iSxW
zK^I?xEGX4;e5w8IC$fClK9_cg-QnXQGILT|K?vb!K1_r##(?~XqFcK~b$>n=F!yl{
zW!6&)Bf<_VgZgB8P+Z{F{6(7m(zd0oXtmy;mJLSCxA*RDr-Ix?sB$m#>!(S|s7N+4
z^x~*4zW&?f%_ZZKJm9`_On|j!Py5i-vk;MR8H=5^_g$%th_gIbxAc)30e-lhPbEa3
z<zTm9TKN4y8n9^f4m1lz=y|B{2J3>x<6Nytdxel+e86aNc%l7O!2g}e6B?V_No+7N
zmb~C25SZNRTr(;p?z4!_OmwatBz1$^`0kZZXHXDm)A34p1D9?JqJ^670yxcNQE6+B
zpVpvUYxfC9!X-oxA~^O!yUx{=Tl=@VSbUhX<!K9CZl%V9TF%QCHMrQGvBu>cI|kz3
zkUCK~knklB(td$H2}afVUVu1ssc4+-qQU;N8tBsTJA+(tH-`LqEKVJ!9%Age@QCbM
z06DZD6rON3@8_0h+dgmmm(L%ud(8s9kii(-DC4kB^^+f%AHPVL(kZc9XY`i+qGGYW
zGIa}akv=@{!R>I2lf0d`7|Rls1O)fyLzF_XnSI`gZ%WbHuoSFU@n8`kl(u{VnAi^@
z68J~v(T*=0LE^_6B0y4kec*J<PrIpYu3^V^6&_~8WA2rYMAP4`1Zk)Lz9|}Ki#y}#
zg8vMmP7+vY8N4))(dT)Yea|zdKf^i)7Q4%rrghAP`3mF9>yl<rdSKDs{PpT=Jy`{e
zO6~&&rPpCquO#^<{Z_4%CbXDPhjaBz@>lEip2nRAs6B}Li+i3_0Wd^_F8;{!eCIVP
zO8i_-sPQer-D1;3p9tU7d)?!o`0{KF=5BIj_Lq(%Z_k^#1k}K=>mtYI!^7XJc_{el
zH$SB}{y=9uSqi$W@bO$#qH;1KK$~Dd9jrd0Q+ecgGpo%G*)6NV389848upunheyG3
zDZP5Bgo3y@)o!fCtzx!AvB`H2S|e8qy;6%V80qU3%Y;u+W?<>|6tA)~`feK<R>hjD
zC|p^m!NQV{_Q9G^FX8RSqZoX<(AV>wIPEko(N7)~(zEpb@jm3P3*L`r)8GyWZdx84
z=oXhdTNich)00Q|lh06=+<y=IL>Pd;XP;+2lbvRW<mEu3FW+OS^g3DF4jujVM2Sg+
zz+|qebI66=5<K7qS0}gg>Cec!3h5N4$k<@BPl480MB&L5@Ox$$I$Qw$XauqZyNsO)
z<%r#srSfVz?H)|HxJMcGhp4ftY{#Lz8T#`u{>pzLm2nC!3}fX>al+o|_9|y$IhB#V
z+e;&IENnC^*b^izm*QGStUk|0y%k|B(YZ<LXVd`Z)q2Pp<nS1@W|ilmRDCp#<(5R3
zq(GmjS$cr@Mp@YDX}s2&IVY|yxzbgQo}PyTZ?Ge%@>Zj3_d9OX>gadk;yWWTmM=un
zTy{j7y2}4HMIj~wcYt}bmHT7y<ZoCjI**-P&mW1J7opEDj62hD=gJv*TpBX9d;FhI
zy^EI(m9=bcnXy+&>+_R*e$hmDA8abUDt;$=rcMXDJl1u0e=@E7GegsKGgDxH?1p1V
zaV(N-_G1n9*!4*$dND%hteEz>u!25QS^I8=4h#TDAlL)OirNGT5DTxb=s&c0@c953
zMl2#r(=0ytL8}^G)BmJ#nP!|LjAPsg)wE`2O~bP?M7}&*AAVKmrrP89fY2nVkXY_0
zo>u>oQz(#hB86*jLSBXW6sYc|?zlQR%hG6oIgtLg#{F3)w$AzRbrXD#d5O5^Nksr-
z@P?f<4_Aa(PZ!#w?iu-uu;oxZsJkd^#Yt=Tp@l{il1Y1#0={Vm>JmZo&}<7x(k*@n
ze!Y3E`P+YucJLBoP*>1+D#rUk#D9!^yqs=}Bbl?nfpRjj6(@fBmR9@l6MpCf40>H8
zEos>wO>V|!uKW@`kmSuzL8;9kVhw32{)Arr=$ycu*?omg%E)BPl(`{_I?rIOtWQEK
zuG5q)=QX=}#cx3fU(!u}%W4h3QR1vddNbN5ec>@k2%F50N@Q?@#n4DLpI?E2Iz6XQ
zqro{>+kBC)RB|Yb#-bm8d5kA{zL5x=+jGDpuO0!3X3LaMR0(EQh2n5h;0E#7SUl-M
zW63)FWPFJTWy{`!=B6WCVE5$?vN9J*%A$X1m!t{{)Xqzgcil*D%TLalk4}F8k;^ew
zB}suPrIZKZvMe$WCMVKBF^HWsfQjO~yqbO+?5c!T%Y)P;-9<WG_}lQG4|2VjB8$e;
zUV_F)+gx)aLbsXRzh=N6^qo1!^Gh<j1J6teC|L2`S4pLz;hHa7rY{RVY~mu9$`<l?
z#dH#V=>LmlrR0@Vrb{7g3G>;D0Fen8YXq2AT}W@$^24Ou4ri{+0}PIHbxozZC<()`
z#@dp*0xd?eB;?iFlF87gY+w6V6e$H^hy*9v+^BdcF6sU==A}n=-D1CC#wo2k<ZeVm
zKn|1DCr))EHn_|uH+vj8fV(_4Fuf<^ZVp#2O=Ya%O-ufrO^mrBv(N!>t0$I?=+;Vh
zFH%_(@DPxiJkH(hmxkuXecjeKQyft`t+yoUYp^#U^1{g^v@k$ITyvnVE@qAUA<qcv
zGa=bCs#@gmx_xEd@)SBCeNh=H)4gU&{^QEAvQ5hP{_vOa3N=oACMRmX#pWxTQR|)v
zepSI2<7*|+A`Q93hu0$7%FZ9IkRFBF-B5Yen`g=0b+n81AE&hKXp3yp4!L<Qx;xk&
zkIoS0S6^yaSafPQMb<WO+v_pAUT*&_%JyEgjvENdAbo1En(V&aij{O<)2&ZdL#us-
z)Z}(vjUIlYrQz2hf1D}*nfk+!`xi>3&&L&|*J%djwwZFhyMR`t!(=k|?INA_jC!zn
z)W{?IB<=OG%y3Xn^Dm-Lv5ixn6-xhi5Gtpx+59dyx<3HHkEPd_JM=XtzmWS0gvtF5
z`ITZC8Ox?x-&ov;81K=Mb}(0tET<lo=fLS>1)W%FLyFtKE|b1V;Z(Q!?9w)waEFCX
zH-gES^Vx>mwcf3MnL$h{F@0~vSoEHq7Ph=6wfFY61ouy8fd1Dmm+;JLIAy;cJR|b1
zLkqqK@(=W@FKFM=s8Anb1~{d|FN_NGEj^a>BrQ6MO1~4lg)upj=rF}=@Qs#jE&x;C
zKWTt`Yq0qUl4G71@#jS-D@IU5&j|V77Yx^yO&<hwlwZ~yRW=wMwG!~xlRHx|4?`3c
zli~N^K(LaAq1cmaez3wdDcj88LhY16CPBcw5+>^W7;nrG?#QuLOaSvG`ywW%&-d|P
z!AbCLpz{1O+j;AuIQC_%9~p>y#*^m`{7~5@bO<P?c6=@XEUlIUNz~)Kda8%1m@<fH
zUilwe+hJfkq0eU_u6?!fH{Mlr7TaE<MgV4o+5uddQB<Lizm1SWnF5)85^`ScD_@QF
zNMA4`p~I^Z;?5uLO4R*IozA<AH}XU|p)s0nlR=F5QMv9vl<Jy*YOJzM+fMtqegV1D
z%bv|}Gt8k>+>^KMO#F+Wq3eMl)lxHHI-m~0L|%p?7y`@Q{k-HHh0@OHP#v%o3f1j_
zd+-u9i$x_{6=kLGK(|Z?hsnvX(hKRU5q?mR7UcS<9z(aep6>a9+^7#J{>{G2JENUG
z_}=g-^4+01Ue=t#Yclj*x2Woj)F>0D#me@_!?Osc+^-CeHG<d$C2?HyD$Ch(0SF<=
zOm&gfNRB-}ca$xyPgq^SjPt*n5hFm|(j%DfDaWXONJ@p6BgIBP2-^eqVbs0$Z7=f=
z9U)vmOcA?r^g*6g-kxo?Ud^j2Y5?r_iZW5W#?NtBB!-}pOwklpOfX4jF)pOG%P@-C
zhe1z2faX5Uf~#`BSJe))N5sEfe6q7J;hAH9=E*@zUjGcuZ}<BIzb9tlCKBU`*lHA7
z#|V_Wrq-*~W`Eg{#E4C#56~XsN=TkteR&D@-31eJ0sg*|XtuY2noOP!jw3}EGnbX`
zXNXekCm)YAcer_T(uWiG=Q0vUPQ5%n-Sf`SBSngGJ{~5M(uwgg(kY;iz&}xl=l^zE
ztmtieH!wUu(w3WeJ|=!R38Aj(3_Z6j(`DN2&EosoTb=gJ{Jevj_Vamg^U5*VaIeUu
zlM3J?eW>InY1u&rKPDfI<2n>~tj!mX-5!KY=iyhs&Io>U`tn#S5MsO565QG(2@AF+
z4gFP*TxUTx1l>!sgkEwid%m3X{`Y#83HdTa2AFDVt(v<9KC~}yM;RjOWV}e1t;X0v
zkrU3;_OIj1=~#2^A1Ml|e?RjZ^p!V|neLkeF=t?0+aFtO4DqSaF6oQ70M+}r`G<zT
zGbJH;abk}KPEI8E(N-tAClR_ho<F0Z!?j<`c>XnQgjdEz%~Q5BtR<(WlX__=v6L6y
zFhCN|tl0EbK{k72Jind@X%{CoyYNX{BNX5BR3|s=6D=Cts?_f=JO<h~NM0YU-G@r$
zGTCU^V$SF!W}HLWJ`M+8Qc>Qu!!1qnq&Lg6E&K4{EvK!v(@TyWeu;NE0MgD*FXNL0
zr^Af>@=b7R;>X|)=JcgP#2`j)czq{sWLa8jq>=YQfodfC$%hq`n{gs0vO&=ty$~Y(
zyAP6R3%v(~AlZ?P^MiglPX2)0VsmZ+o)^{EDTXt$iM}QQ$S`IIb^!?(G(h7wLg49Z
zX>PW<$r_6a`_mK`9gV;DCtD&f^;SnEOG-e~+d8jkvEZnn;37fMbsM#{bf31;dIih}
zeb|pR!FVMGe^kY8gxjz5^mh%Yp5~eXeNLSbgv^U{djqg+moZW1y6X{@?l|4&ft=Kq
z8)c08s_Gg#XW)@Aa=}WgraxfvaRKZgyJKD+4>Tc9Cc}<!MUb@-`({#+R!p$fLv)5;
z$}uQGsL`U1azMb~Ed_U91NtJ{ZdZ?@oa{EizZ_l?&g4bgLr7S@8(@uY*tqN4h3A-V
zQJ*SA$o)z~?~2x}*4A{m)|==ywWwwp69HwXo_aezw)nY0c@^`qoj3nVN@3%@KHm<P
zx}ENB?9F{X21sH1`?T!@U*pxVW{Gvc7_o8V>_xc3O3p>^my*ATw~b!6cLul-5NTyb
zYi>T#=Jc$&0MNm2GSf%`B+eiiOBiDx#`cgxev#-1zx>}Ff-irav%Q^D(XPudP>>F^
zF{!Dk2_Jt;yW!}jzMz|D4Zz@^Qtg+%P`{76e((Ss?xQ_ojitU1b>EDROUbY)Oq(@p
z8Q%SV5aNGjIp0MyoywY0pD^GuA6ECzYf9py6UA!NH7v|y-`{4=Xc(Mx)0M(KmKprV
z*{L<nwd|>0FK<ooVC<GPiHo{rmc*m8+GvtvjQWH+Z)X2;T8B=axWp^JL*%E#uQa|E
zVmfMn;m!_&VeK#QrYJX$hHG2Cw`u!Gt<JO`A=j1T52MCK>R^W@D&8q{A~U8W1@3*>
z&KdTigs)p~(jAS6A0zKoG|`eHr!~GZ-vda*g0Csuarm#66n(rU@;A`;@f&5^;>?$%
zIb63ivMF_}<-s#t^k2kbCMLf_Q`lQt_+DtgjiR^~cAe1G^5#Tkv>R6iZZ3DuD))pD
z2}1DOC6A77pysDTn2N$@Zfs8;b3puz;{|JM5|v-+)@hy!t?COZ9brK^Ma9&Ve8smv
zr@0TN7VNckJ%^1Od{4v&I@<5E;4NN%sqbk1d^;V^4BA0njx?d=P}AkzD;U*l-v?y8
zSGH@S8#f`sYc+3cJo9LMvI;dplAj85e!zldX{LVF;A$*Iyuf%+>7tk@HM^GpoV2{n
zPfu%bSkK4Q@IhCrOBh&{SM?xec~fHu4!E`@h_}|)2ZC9%@di1O9&)PYiG3HmI25Xo
z$E=$4`D*3zL^yYm1a2domAK0jfAE-gmuc!zPDs1{EdDzG)$iad;RNQ^1QCP~Bu}@Y
zPN%R4c{;so7e=*N`<i5;`*t%-K~2;+;4h-~0BtGC)9{CXPn0D|Yz~SXmM`2+x3v(H
zuZ1~8cFO$HjJ!vK`ubFuilNMLIS-_yTsc+Of7ogDoeuS$ZqtO9dQ{W67ld-9%lWeX
zUNLmOi~e&u2f}SHA$YZXP1125!hPJ<bGu}Q)Hqf>7b#~YBg1*G3UIV8gZqp~oO@v5
zVi|!WmEu>hI3Ty^5O7YO%uEO{0vjSgrkxrxa*3IIafvzqh5zCkDD#sx0r%JX&Z&O5
z6&!t~R{6_G-9P_7hP3M+6DTLaoah;Fy~K5q)YsMH2`O9??^NBDATPcOj!Wn6%~P&Z
zFhatfAmV_M05j9R{(v-e_Q0<S<$~i@U<55OF{pfy$}jnRk`Se2??G};ns2r9q(f8C
z*KbD=?x*{2L~rkEsbtJJ$BY>Si@R5m?d>=!(c7!>>lrDhU)_^drWyF<@z*~5y()b5
zUflRp&)1u_y!M5=CJWYY%kz@>5atf(3WLM&63peGAdO}V2>_rbFwnLay9Stw$s#!k
zTf$p)&0@TW%}UI_?Ts;Qy6PKfdl51wwK5xU((r#BF+0nEaD9sWr*K^~)k_4j8#hVl
zjm;V`DiOdboMVD@js=u@!9>^5;rPPvcIb)YX#e@zUsj&w@2wT2LQB+cetz7a-G#}s
z&NTE##Bj$q?D^GOzMMsWcrsInaJ6xfnK02kzq-QVZofSIvE4J4B~2T<na9n+5cdtn
zfeA78zj=S#!$pC+;)&9M0dk#Z22G)nypr4(M49T@<rL$skm!TYFiSVVfjY^uK4dgm
z20*8O!&m&Y)<<gG%Dg+`)K>DUm=%lvnKX_<tPjcBh_#4?!|V#lTILaWIA3cIh9+_!
z&=1!d*^Hq!z)hyFnf<@nFo}fkAb+N*(U>NGkMXtUTpdCPW3Yfxe*+lwzh@Z|@72#t
zzm9&KsNR$I9{dtw&6kchZZuN;gLoz{Ykd7_6oJzGHf(3-mbvDQUqR}s|M<o*t=A=%
zXs}6#1;k?Y7YNFXRN6z<PP`6@3IT|&>)RFz_sd_?#fK2|mk+%Vy<CxE82Kwrw){Rh
zkEL_(C^d;3r%Nyt1V76ZUU(BxDiWWij4aDLrNq?djZaW6{EGRathaTh2JY(SM*Pec
zXUlCR1G+=1XKXIguvUYCr;kS2=;*h@3!`w|B>$Vp;vN#E?sGRk$X1K-qy*HSUkFM}
z-t(F7MGR<@drYI-7>{i1>g)*q0QPkmTM?S+;Ulo!h?PX0Rz;t3P;!m_p%{_8C9+~Q
ziuy0Kj9;<Bs7jm5$oqa%dc`S}fAn$GTN9S74DPdxnQEHorxixz&~u$twJiHwTl;Ik
z?c7uKpfWB``k(RrU17(Ca21{`MH4T14)Z+~YUpz>eVD^tpuM1$J9Q}(H|`)ymkB5Y
zL;e=^tb4JT@4`EL2u+#hd38@7=5=XA_Q&RrS3&g{Rx?5U+>I7^aqIp(hz|Pzm+BQ2
zzr^Tlt(1ihdl-`q^QVZ8PK`B)%6(kz!(AWusn)!2%_vScwzn-M_?r*jo@n_f%{ye(
z9bOmn{rHm15iNl6aMC2V0+~bO)iCpu$qP(O{Y)2D?y@JL{hO-~24{iNy5<l;28gri
z=g*D#RmV9`V`b_D1)=_V6mx6$S|Y3G=WX%?kv(TB^%nDEkjD+<j-vecRqIx|Rof;D
zYey9wr+&{VffQp>08uN!04S~eb;sYOC%9<T#5wf|sI(;>eNy(Smg*f`?BDdO)t9iD
zDMrNw5+&Xyx6nfu;zjrrej0F}lPQ#)=i>!q5!jJtmoma|Vt<iWO@CwE=^J!SBAq}l
z2o8pygF(jP$F{>f^Pp;a+8q2nk-ZM8%2z?~#BI))5s+I!ogDo-#Xd^Hr=tvnwrz{R
zd$tdc`jx|Hpx0(v{l+)~^PDg;QIG>>cg!_bV%N)CwL}(u*xiBVr?Z!F$*vl7Z7I$Q
zH&>Rp5JtrMH^#(Zj2U*FoP!4rsnz1EloBmrUS8scU#p-Bz>*WUL*DS(K&}&iuq~)E
z)TknUK?td#Ucfn_=0Mq6uwpg3x(<JBb+}D7s!!r25b4wL@UoS!h8G&tj-ebd!1Kx}
zhp4z4`$H12FR=rIr31-Mug>IK{EE*5??CH3Wk9UHlcuhmsM4|BHz$Ronq8+z>rCFp
z%UdUY7J`Tmi1dd)?C#7!jQ@m=aZ@&<`3)^~FOILegl<QSb=S2}i3fXU<<9dKrZW-!
zRRSJ~FxbI9?P^NNt@A5P(rkLFaPNC9oRv$u_tj>)(1}mDol?ND0Pp%Y^lIA--n1FX
z9;@v&B}gCd_<ZJE<$dN2cV|rQ`bYG6W&UO6h$KB`yQwZi$utgs28rs1+YgY`X3JW3
zUVl42w5FUt^v%VvvH<bUFoGJy4M~)PMupWR$#?c4?cAg6&%(}?2>ay6<U0ivC-#w!
zO8=eTA##cvxg>&uZs9Ss=8?q@2Q&kU{b*Z-@|I?Q#qum7mL89-=-H#1%OoSxdWVam
zx{ZJ6Tng(A-G^x|fm}&7y}TCJ-gTa7ZQxU**wP+w7xb$*ybg}d9|Bs^9TjRBRy(nL
zP-%sw`zrl!*iqwXrHwRrwQSICEaBYQARMp1WX@>GzjdPE&R3(tju0Sa&gDiU9Z+g!
zy~11CT8`LfrgWHi(@Aq|3kgNy(ll)6N&E9<IL-R>W4QsH$u!h>P2|g-YT==y<4mP=
z1NIW@tJ61Z{C?W_NrKq$Ug-^5b&hP?9($PTqE%1#o;3V{u-Yh1Vc0I6X;yNtcq(*)
zlxx${cE$YNsvVB{og2)y{Hc6puoNm=o>k^^^hiet+YX@~V>D53-%XZoklw5O{NNf3
z|5I@$4eKY_y}8JHG^ZE5{S~W!!@Z*(L7&$Zf06dx6dE3zhqVU_4Z;z7N1Me*)jGD-
zwF<8Qv=N5c9suRx^_K1*PWyKhhLe6yxk=&Rs#R-A&WVzLabc!Z1?dJj!Z;9X&C7Cs
zJ^Q+9e!zIpYNim^e-uwSVccM*NdH2i%B-4bgHHw+QWvrWt1Ng3U>Cu*Cl7Z!(2fya
zNkbI(d1Ke*UfAX6<+5S(0nv2)glPl!3Lmzn+h@IjpJPJVR@rctw68JtAKv<==~1~f
zhKzwfFT;-75$NeMl{rT`|71xI#VE8>aWq#IJt8f-YtrtVJ!y_~2t!$uE?m4O@gqZb
ze9ngx`m%JZ;en_$J9t$&B7Bu*18?4;Yu6par7n-veWpKh-rhau2J$LrSD*(%UQMLm
zP<`}MCavK92D7o!&KuTxPh(*g0_Po9xKGM8Vbz;_GzG3WqNe~D*8cXBfa_<Eek{rT
zahtVsB5L+?cLE<2qWuAp&YWA?=XWc;ytn56bmoCem7Lay6$a`YrfVwhGw+n5D@=*E
zTo?SbAKJsMjZ9MyX(Up+7wjbTSQ@F(7f5ZNAr#J7WT;l3t2=Lq2({d(BfK6y6gvM$
zuszaAyi?Yg+%fS}Rmj*jt&ePz-1nONKz)oH{vNbpTnHL5p2ACugU+zO{XOLfXp$_?
zYKPT?w6kdBTi~CcrA=L`nNq?tr9YXP!X%#&OzV-EMtWIFs?gUe)#0KYS2)+&T;gx(
z&f*f7ihN&+;I2G}8@R7I!l9M|xgB=7)ye?xNcGG+lKJL8^NzKbkf&=JFqd6b7YbZ2
zcfx6GkW%KL{?&SSdYoEq$$(9Wgq{wPGi;?K4J8X=7oL71pt#vA@6=l$E;e3Y#bUNT
z{^hR~d^@UDDlzGz;md<Sw|9vFjpyyWE$jOcurU4@*zI`bUhz@qQit{DRJceN^Zfjt
z(ZiI~(@ORRxIlM&+2j-ibb)ew_J7zhi1)yFwiCwNqS8j`lX6Y68;&EY3-+W6QdIwV
z7j-bgm4V9{rj8`S`E=q4YS}50dMFW{DK&!nMSTd^r2N?hpb-sCEHbYlK`x=_tdtG!
zZF-71Z2BK*iys=sNpClP+nuo!dd+|J65|x23?RASX}kYDp`EQu68Tj67*#%Zk%F`<
zdVa3I5QYL`%(plSA6%2BVmZWbKgT6N1F?Sr?nggDUSCGBx>AkaRmgwWoVu-##n}jy
zdMm!MRs$mkEh8htrrvE&wJXF1sS9-6_i_7L0!e+0oj5y>9e}T(<MXTcLx4RfRHlL&
z;?RmNTW(q#y>d$#@BeSi?x&_W8I_^nte!j+O~{gAQr)?Vm8<{Bs|e6<n~rB(oaupj
zn9Z!`MI1<ml~O;xG`E-dlZw3ozPChBX4~NA!OD9OcHYbgk(BP(YpCWj?Nv}1H1a4>
zYo<}-FR#~wx=R%%ZpaS&7$1zHmd&ug*7K<U6=iSBV5@0>F>*agciG_oCRP(xn<9DP
znC8AL>6%H@WV2-yqYUm+bgYK8T`Dr(jNjWfd`EMppdVisPv7c~X#r|r?rzI^<(uHk
zuG6ZhrfS=ZVQh%(77A2IO*vWL5?`<@Xesn?hpKvD4^N2H7}>Zc#hbTs>So{2x9#ZL
zD$na87)6aqT#b~Z8T<D^kIGvr+%!w1H>NcA80bRf%6s~|HxWCfFMvT2;WgwXT4r*O
zDa_A*T(V@UK&X@9)h4OIEZvqQPu5iHgqLEX^jQ8F*(I5YA6BRUB&p~kp{k4wtwFk8
zD8K$T>J+m8qFPJ<YdwhP-p+VS<Q%`dnx{@O`By>uRn6QS*INa2D0TAUgO;0r?k@#h
za{}3A9?}-Y5eBh01ZGnq!kP!%=q@a}Ow;oGd>yYBo?zT&C8H;7*=V&>Mahp4v%+RL
zuUUWe?Q=YkB)xiCunZ2q6}1kjtwtI>HqCd@M~Z5cg6Lp0%tQgS=4(#Qkc-WKmm97j
z_@A2xXuzwx5zJu7I0MMZ+!S)}EZat4hGtHMK2VA@O(ucIY6!n5k~wC)&<P-f3B4Wu
z=ZZPrG46j_1Nn9Wsk&E?`)*8^!kthm|Hem7@kb8}C~IFcwH!n;*#-pZT!dXMa)x3E
zE@$rt3KQhBe=a>|7SD;);=@<E4~jT1!qBI<DpD^mm>j@$8+@4xk&*F21AU8oNJ3;U
zJ*sSFec_lZ!+hB=9A`O8uP~f++WvG3uK_ewEZQi{9}>uS>FCE_zeu>`!FyT*`k$NH
z?!W-<w)#wC#t~DHuoBX1)d#!Xq;6s+R?YM%(1#Sb_Hcx$*7*RsKgq58tvK-c2>-b6
zMmR&PC&b>i+(N$@_NJfL6=CRd1cwaZ+`BvM+Ec~{NU}jko6|MVRNYg1slt1X+aEz+
zLE(^U5<hj(7<5d%v3G_~>z=%_;;M>ii0yVe6qBXxmEL$CVmiVR5S1VD6gT1;F+d-%
zIX!!(-UYy%`X@;wl0kltzpaMA4KH(bmIl31)||i(KR|1FQTx_a7j!Z^vb*UiVa`c%
z8s8wpOUXMwcH+G{-Umld0kQez#y5w6Ipi`_2BwZs6>FE>RqX7R!l`mfg!V;1FhmfI
zVu595(B;Dv9a{ljOgN@cUZ2J_0ZbOo3+SEKR{eoN-QgQR;M-l?C&j^sqg;%ZNha(x
z0x>a&tZUz7+$1_O!TRaW5##U(;K9;NFZK-C$2ugXpw`O%q}&YLPH!1HVN;u%eLoTl
z6}h)qQ%+fq4%$<<l%I0p7O<-xgo1d58^d!PrA1#a*y`=~)rUMEg6mH3lS)HYhGp9f
z1D^lSp^hu|=xc>v?ofK|UzzF;GVc~<dw)@TG2ctHcE`QXzKnuH3sz;!qR9_e;pi+G
z`mg<hRX)cGh@u&$K+gd5Xzk@y8R55bv=c4BkxBSW@Dj3=aTyMLw$TeGwbag|L<e2O
zS!m{b$_*}8FbY7_M=7^lSaXX-@b}IRs2$G`w4I40X1{;GM>Y}Lw<ZGHa5LHBlq50s
z&I$0IyKt1a^eyO`zrA&bnTs8fUpW#TGKOAI#@O2tHAeTRor_sxec%RtCHt|<tdwoP
zkM?3E)?Z=cyrL~n)&0P|MNi(|M|@khI+}i|)+Nf$mYG`EWZ`jfvNETZIEva;Kv$8o
z%lL3Y?XXMnK)2H*79k0u<oz&3x0jHT<hV~Mkf;so?zy)Vurla3KAe|+QieRm!Pib<
z2BvG!+gUd?lZ4H0XMRu@IW*o^V~qdD^HL4T6sc~dt_Dr`ZUO-blKp8%_HSOwz3C+j
zmzGVc>q+wbI3YS)5IY#oZ%JGy*E83iTHUMCo>1ym_c>eoA8pIvqc&?VJ(20(<n92J
z<K++A95#7+a$B#;u!8E7%~wdBWVlN^ieoV?zElp;*1gXSzG=HeMLa<@l2)b^-|SYD
zx=e6kuHe0Ry4vet(#1#kQfTV*4-Uw)Fykbz$U4q%vsB`N{b_^;3^?2<<2scF((>GP
zW7;%2I<~ntMoDS(Wcs32AMoN+ZW~;!3Y3-!k#6XnmYoMyP%Ew2PtRk@;e#~6=5tB;
ztrF}c^uHIt=)cP}J6*b^f2&7r$f|lCtD*G-Qe|t9boCC#h*YfHGZ!eAMN+nF<}=z2
zrEU)De=tmNCBHvfHc8_J?e-<O!)UZ@c%%B)hLp-BXBi{$di>IQ!Zl&1(KevmKQ8g_
z)giOcu=J+2jw8j=LXz=gSoI1fsi7-xI4_e}JdF~nl({yeMaC_~9^sBWpDiOR_jqJX
z7|F8RmEqDaI?;O^>qwU%nN#fG3QhyPjqn!*7eh5K_iL~9ZhBQ!`6hP@b9afz^TtP6
zUduik)0*)+nOX9rfB=&ym+^kVN;r+kWXW}scb$j>uT6tA?TVkrEldWNBh=3spSJK~
zDc=*jE!~PLM<qT?1&vE)OzI^=1sYAninh3_xBXIj^{qC=)dzY%^P=RAY9W}nuR83J
z2j`)t?Tp%9WOI)d#DEA!*)IySc*H!yfISkM?2KnJ_{&6)J<&?zZ%CxL0HvR_lU<Fj
zQoiF+;u6AJH*H^~>wwh8F+CA<FhMkXtp}Ial9-vLebq&;_*&Cnn>2?DnA>S**F?Nz
zBGM{5ck6lg8ld@li#n(~Z({q#_i-NXLngDiIQZDHm*XQ9#-%tzS>qkRL%fF-xC|gN
zY2_vvOY!-iYTqX(^Rc?u97}r2Z&M0PEowD0J=;cPO(g9q4huqdV%``ZfpG}385?K|
zqwP*>8PS?2ZN=uvr^IP#gglv){kMB)+p%#5!+j(M5)u{7UgzEF3?G!e5ZN3{w_Nb-
z%yIn9+Za+tnI3t?W@c8)NHkWEI=}KIR&xzvp_?sTK;*2ajDAt_Vj#2f%6wTyS8v^A
zQS!*RyF(7NcjjrjyBX%ZF&JwjlU%BL+Vt?isrJ}^0y1nZj*2rKnn|tR{JPNgt$Uc8
zV->O^8YR?mR=<b)Fx;okg#^7lTf3pg)j6@l!vNw`altQyP|?_NA`k|t2og^%;Cmuy
z{l5}ir}rNRJeH(_G8s60-tPkfZ&5kGfa*}fTM#&cG?%!S_xi{!CB<>Ac)k0ppMGdC
zYe=w+3d1=NZx22CUD?itxvGjtd}s?*l#(fc*)0e875Bk9FGTA8Oyhs-p4Ng)FEJxn
z>rUNlkVPyp_WewdbrH88V?QX5skb5$PYLovH;!W^pL%7c4uP7XS}Vb<7=#(D@XUX!
zbNTmZZx@Gv*6ES7cevZllV~PIEf?4BpjRPr(zTxSSw5Gi@}Mc`LpL*xnC0S&r@1h>
ztKxt9w&kdR*4f}>qUvUqSPHCT6iMcUkxPe15hna90po;@E5%j)i1w`85lGL28L(00
ze-G}&V~BS_rDf;jkP{qfR<7e|KkSMGNbJxG4!gD*?%zt!7S*49c%J87s28@H&2vY3
z@X|uE7ph<OzH(1#nTsi3`7MEgpr$e&>#2PF$6G2f)!5vicLVcGDbx;$C<Pco;4Q?!
z`l)nskI{EU(y<nPGx)3qJGfly%sL6Y=cMXjU#~^S@3);`BDRXjS$a&R3p4#c|8Da^
zYmf`p;Lew@Yk>p>r4IFTb$FLynB?8{_bcL;n;)q`b7@y#$*b9`g?2TT47u3p%RXR8
z9tODM^<fA4R^&L&Bm4_YfkfVKHkRdig^5^RBNPJoY@3xOPJV#5M>w?`ki=}G1!jrg
z%P3=!<0s9Agbaq1{Es8XsSS12&0mb;viz;`0kGsvd_y~DxIm@xJ+E;fJv4xSBvt4-
zK~lv~?)7d&$A2Re(3)ud*74SIFWY^4fmuqE?1!w8MF9&2Lhleg4okPykr`L91tYz}
z_qg-((NEtSL^V8rrAiD<vt-P*`Dy-49K3?RB7Vqwe}6SWAxud1CDvmEEH^Z<#Y_JB
z(*VkAwoPo)<91T0o=z9|41*Zfsd{e~$r~qNl(|p|efmCqDh-(>B?T|A!&(uK5<mul
zC*1c7&@kbEcO99>jazD#WFnE7NN<x19A)z9U#H)QM#yoaiW;P6EGksc$^1%G;+zV%
z$o0(M0h}sp)3`=&2Mf%l@b=RJ$vB8z(OHEH0TLYM5MKbeVte3K$?~Y$YKi|DBD57u
zx_fXX^KXCuy1~se>3<_+PlrG9oe}a{G#z(BH%W6j8jk8QzriOGwt*O?nY#hjYQ<7D
zK}#d^{6Q>K^zQi2`tY~c=N;MO^;_W9)Knh5HqX>V2L$ojEt&B5RJAq`KS)dmw%Pg_
zm}W2rjq8{_2lM7#$efT4edNL3qstJ_i7-h;$2qD!E6AGhPyhpar+qJVA#D790Kz{w
ze8IhU2KL^MBW!`CKrAK1;L$z~UZxY-kQ0vum_B(BRT(^t#(RJ3W+d!QCLS3UvVM10
z5x%BbA-Z5Zxx@l#i!RfgM3$ImgyzxL>Gj_!by0x%=r!_XK<5(tA`TQzbyEQ!Q3;X^
zY;y7;$P!j6?)!jJw*aPgpWnEYK;U=fW6AkWMFotg778AkUP!UE=~gbOCo&m)n8&Sy
zoQWEL8msXxEK$Gd$LV_48Srcj)JCfE;mh5jN(nF!efy?Ho9H-M9rMomsPRke-wlu;
zG^YF(C6yTRf$(b2_hkG|G>yy1|DH2V+9mX89QIL*=SwaYXoLE|cno}WmO2cUGCRoK
z33_ZCW6RU=3LW3rGli;yrJ(YVj~`HZ0TalBOu#J@oW5S_-O^Ta*L>)qm6!Do;y3uh
zq%9lc9Y9CG^X6wmdTx^NG4kKBDEaLHwWOXRqazg?w9zFSQ7Tsat}5Y(JmSD(t!WA*
z`*cX3n)Vh%pu&h~hIt4$PPWsme@(Vdg(-;9Oev_>?R@=7Pq%;$%jb@wBctuZhrLrF
zc9(gyxJW;QnLt=2gYmLuW{M>W?fYq$L!`N~tR*i|w+LWP?Kk|dw8{|eXc}Ek$)i?}
z4?lp)2d{CJGhsWBh_&1h!w}Rn?~4(XUh775DQDg06@X*RjmGwgpqu1l56_*tctLz5
zhg!`7gybE>y)WVxlscs^0L-j0&!B#@SQE+$FRlvrG7q~dPvTCovKfEAWaa*)HY@l!
zKY<9bwdu=})3t-R&&ko6J^Hc2{PJw5mCjd}*M9_@_D5l@piKMlnXIgCL6$Fd7Y6BQ
zvFW=`g5skRxPQ=_r6h5biP%P3`SLyv4o(CQDClbFoDWz}fMIEK-tjaSMLi=F<ex8@
zo03^T`44ez)idfh1vO$^`+B#F7_cF}&9f{%XhdMz<@Ty{3?A>2AIksF0x&&_?^2>|
zx+}nfV?gQSt!yBwwoSZ=8Je(sCiH5r?Htk{lrvQ~LQAmz9qOT*@xR{(T<@dm0e}9t
z|4h8K0bli3e&Mp~jbL`p=vKVO?mGHFr<9=tW2eWM0aSE=#0do{PWs{A0cd5ZaD!^e
zOa6^I4*G5H{#{RypQX49X4f`5=ahn>(wdn-7G;QCueb8Wx!uIU&+eW<GavIlC<iVO
zph0`DFt?aS(=>-@3+z#rui)0wE7FI)jaf;#EU(MG`>l&Cf2lxI?x78VgBXyz_=lmj
zMYNBt`^F4_LE6i~6nsw@RSJ1I7~L_UK>`7p&Sh$fr>B)Sz|uPAkEirrn;jEqs9`3K
z?CPh3jLxbjc@4%NnW2CpFl9Ago=$TR`x#1`Wg1RJm}q>ovh(RuKeS6xAu6h)UQ+^;
z#=zO0fi_X{<6=Ad?o&#8=#3)@;;3N3zi)XzE23t)DA8iy<KFK1892IOs_74lm#}SC
zaU$z(iu{$0ZaE39R`~8!)gd>)Z?BzkMZAA6f}J%IN`Dd|9Xr*-l0Z(ax5G^tbz!*;
zc?ieq2v?4a>)>5_7w_}N8qF`e<G`2_B=B7WQecA3Wc8w(sKqm>t5d3U%ebWD0{3wM
zlF$!#ctTcerpX@$B5HCzyKH8V3wO<#C$Xrp|45<BV{Lo<>8W#54yyOQ{L2jQGbj?F
zk4Hsb*58&*RVFtf_Iu{e8-w}uD^jt_Cs@>mzoW!}@HD1W0gQ?Osr-8<nOz~1?TaI6
zs}gO-8csdq!{e7n_{SRR&(CY;?6U8U%)B2r@XVPjozGmL@^rxn+}s2T)JhwvtFy3!
zi9Sd$6_@g(fojo(X?Q_COLE2#R>W*S<-$v)+zQOaLrNhtnBd_WAt<edOSTwMoG9A1
z2fXbcb;R-x7YS`v(_B{wd86*m;larCNce-SLO5}eg#tdDF2C?kD}q^_9hJULExO^G
zD?%aby)uac0wno3fFSp6FsVP?+#&th^Z$7I%CM-qHe4m7yOi#3kcOeVyOHiL2_3pa
zx*56~K>=Z;yHk|zkd6U{;f(Kh&iOrmX76k5wbpZI()Jz<&*^^zdC6Yqq`uD~Bb-Ku
z%eSOHWaRMK*EA*80o%)FF90fYLf<)PV#SAxd_v`&S}-7B@8??#=Z22`aHB0nHI~4*
zlFHX~si}zi#}0^8f!2SO`;|Mjp-h#(;G8&6#=~iY{}!4?uD(?O78_QFLAg?{vcg!Q
z9riOB8J|hNptuwCp%CT3LIJk5d0?l-Dt09L3wtKK7s^Y)XFcB?E`*hACAofl$8T7s
zm({=GIM!PST?Fa_UYMGX{vy_-W+gUG19WO@{NCztMXRkgrzlh~tHZ(4P)Ru0{}~cS
z^cO8m-cY@z#K&m%;y4y5KE<+`U8FuMN>RR}B|)=H<=--<MP)bre&Gt|^zs#d&pg_z
zkP_r#4CP`r|3*)qyfEAyl6C&|xz!(>=L$-}mcNiQH(;(TJia+P!Pw#zu^AwPaC1d3
zdlY5w;zC4CvhOrrDGmqIg(lTpGZ9=_+9$|Ser}RPQGYSGVA{wA+`rAx543Xkjih`i
zCAnf<1`EQZl7?i_9>>?z=^n>lv3hs#$Y}5SMt|qDdDIZ|y`JQ>=6ZkrLSOL{;ym=|
z|AL4u0W|u)0p?V_g!_>A5&x0JRw0Z03Y|4_S89?86eMh6vOiE`iHzmabwn~N|GDtL
zk|TH@Oqn$roq+DbU-%vBu+x8~X&!LLdZMW_I|{DZu(I726sQXzSo`}N8eUV0D>ZjT
zB%pa>Vi|;z-ZCHXL3-aY)mw5}?-VS>+D}-xA^dWG2Yly$)A%AQ=?Q`4iw}-N?D2DM
ze3irXAx7)R(4*{a5P}WVXpRr)sq9%ikci}H4{1#^1n$eZ`}`?|1-A@CFtDy@;VDru
zvd_+ZzGD?YYn&1iu9EQGuhyf^smoRJzJy0crRW2te{Jg)iwgAM&QdVc%d$5NnINAR
z&b$`O|3~N$a1CQ}Hb<u}KGw7kV&FN?HJYc~W@-Pk&^l9dJ1^Dw^SeLi@j2Dh+H&X7
z<@EfWPOsKk3Dj~f5^T~&H$Gb-07T<EDrocAQ8H+sQPQ@UANg)iE^)PvX^nw@knCwF
z2iB3MgO!wjjldakWBds3tK1#c#=6)OF6giK*)~2Cx?37jsul9(mwpUTwK|E1G|v6$
zNQV{^l5k43g3e2V1|2kSF4;OIa3FGZEP~Wx(fiCSRs940grF9{G@SM)<uOxcLW;r<
zCHA-&-|Q`!zs6$w)^_Z_)}Gon=Yqr6srrAJ@(SmF%as*%qEI}jl-gP5!~!e)H(s)D
ztHSh>{nv98zq;|m48NVxE59Fm?`Bce@bvrDX|s(2CMe(CB2L0`bw(^YY^e*az)F?K
z+G7dYO-()2e;>EqyHQ{tQZAPhZo=aSsuBu%1L=>mU_3yf<=}HQp!Bz$jat};WBA2T
z%dig+oGg9xL}yUy`cHi$T-(T_l_!&cYx<dR<oj5Lw;Ee8MG(3C^3#lbv8WO%v3dx;
zO6SXK6kx&J8@Scstq77xbdoPcen*T=GtKLrvP#xfb0B&_Mms4UONV)RI?0L5locs-
z#X$JKXXQ>uoyg%+NSa`gp@ZKb!Uhh*$$GL;TJiW93JJw!-o&!r*_SGjO^*I%<9)CN
zNAfiSO%BG4bkH$C1q<C)mxf~c7j`C=(D=dk0=dF&S5M|n&c8cVZk(3}JyI2XAR-Dv
zr8f+N{H@qkH9>OZ8P&SsiaqY-7h_y)SMpM;S6{yuhhUF@TmuTj>#nmBxZmJxl|pSz
zBs-wmY)48mFzHga5Br!cU=eAP;&6&l7#)R^310tAV+Qy+Rgz*tMM)0D@=rEw?WZgi
z3#}OR)2p?#=lzEC-$lFYe>_UDFs{#mYD22g>W#X56M%Qhc?60o1-kd{&(6uKzcILe
zaHE;6M}pz=f=rU+8AY&Bh1)|D{rmIpy{2=oo|N0HCbw&x#p1QN%$mjE6Si~_1Kv-@
z&K&gh%}1O&X#zJ!UeOXa=76eh&$#0|`#JfvvvGni;~<fjXO*+({qm3gPj7--QC%q~
z>DySYzI`_j`r5R+u7DAL_Ata1@9Y|I%1ZXR!x11=<3h-_YUk-Vx{>cfAhXpHC~~iz
zgkf^E?Smz{a3}@Q0j@ji?wvy;YAws4EN?t_<{<-L8h`Kd-C%(Vbcz+Z?lhuGKmkJ{
z^2)=<$Iw|kwv{MPy578utql_3ReH*Ha>~0Gt1g5SGXYw4f>j^a@4aPxi1!;@W}|<$
zFiSL}y40D&Rnh8r>AXoZS6oB<XoOm|Zf`+tY=q|U^mY#jbsu~qhuaSwR?M-YCcJp5
z6Z+!VTOAEO^!MHjS-Ud^@I~ZOVvZ6d!(Y;eBHWK~RTZQ2#<S5&&Plcr$=c~6n+J9R
zUz|3m1`Y&0`(NEW;FVLZvYpyKrJ^K3Z{r?tHdUerv3Bv^#&Gf^fL7(_k>h?ss8%J;
zw>ng)gpL6-`n6Bx(nr&hDO`VBR}NXB1vCs^CS2HMqnoygaSK_n#gDcP1*i;kjZ=kF
zBoD=FQAn(-@Z<nk1E9;>>}j7WWWd~zogCgD<0;stGStj->;+YmM%OC=jCLKZn8;k+
zV;RLukFV}IATR*LgAPQOLA?#8Oh?4qit82a6$O^nFe4V79Ln6dD_cw(x6(+GegOuQ
zjb7EuFLZF$&_be}LAEC_duoZ)n`XeBnYx41B3s4Lq(@bz6)re}2SB2}7Ad*jpCmKj
z^m;x4O{usTepN7zb2$;@<T1*5Hae#`r=Ine7q-FkaI^?M_is2mGxjO^4G0)OCSKQ|
z%keKb%I^?eUu(M{Q8{}$V;N`%qF0TRUk`U#|5T7+0BSqcKP5tWbO)(YTe!crt2-sE
zMBk8~aCKM5<-n#aI<CY-e#j_5WGL^qH4l<27MSJHjOrh=t`1_P<cavU8*LS+KKY;}
z8}rowquhT|QRrSY)_|`J_$M!;%Vdbwd)5Q}(*!L`2t{(c|GrEbz3h%|-l4R!2t&}7
zI`?1wC#S;6WHaE9c9Hl)ZA9cCt(+eyY!+gv{kx3Ac5Ar6;oDK}zhe>`;qUc@NT*#L
z(EGL8^#pg!-w)M<TXXTxM)n15N)Py4GVe0QKAt+dMm8jCz3Ds(PI*NYesF!@m8!;|
z=_XP8OD_EgIOF@t`$$Fs*a#G1)+~o^IgNfor0{#1<H(-ltlf!|MkCDR_ZeHkiL}+S
zHqphK-i>K!hMg|19Q8=<eIiEXYhpi0zLJy)s6(Vb!6<3Ey#K_qzmW$^AN}6Jt~mhS
zFb0vAaqcz#O$0{5nEeaqbT7AsQotKMZI@G+9mVMXsKS@8Z6EZ;Vdr#>yrMsKmv6q%
zYH2I-q8BJkpd?Pd{H*2OE9j7kl-bV1jlpx62pkf}{3yasWAwde<l{>E;-Ptw|6kk~
zBACL%3Mx>Wkez|;f5DuXq3}?I?x?2+SR-&1(I3*MKZ&5vt$6y*MoUhoZxgy~ZepH$
zS(Ax9>H7fS`qMsh`?wr%ckGA5X)1KBNoB;q^~lFqVMnIEQeUBIdN=gdmX8Z+wPSpN
zk%bg3&J0XSy{_b2;ehtysi#A~6F{6pn9kaBh7S)FAHD3ytDF*Tg6o{O+z|_o8XFwz
zz&IW$P!_@8WWZk3BbS~9*4Wv$w((77;38<m9?JI|3Cw{XVoEXs3JvN?Rq2O&(6;VN
z`-4x18u(VFP&v{g?R}7+z@fnprGt*Zd*B!-v9j3c;L%?$7U2Q>cw9^H_@b13p9`l1
zUj9)6jTk7(aeAJm(&esFxv+_cf^XU69dGsQ63fimtLi=BvTU?aeW@aA81&&woA8N6
z{&&OcIk&-6q@b|QI%6I8PbVh7auKkULZGf}`)j~hZW8-+H<R7()H+v&Xkb^T_7psd
zE!>&Udu;a>3%5hwq7f~D_*ZKBdm5B;fCSgPz`DcONWYe(uR<@OfRmW&L6^#oKzh`#
zy+bPgKIX2wVX#$T2h8W{HYGm+Fo@6N>21}GB+<rXDmV;!zGe(F=FMJ@i3FAb8Gvbh
zzH``4J*)!a7nNcH*y*Y;RUfes_eXnZK%R{-?s$RJq!)jh$M!%hmq5#lf#lnCts`>8
z*9g8wzL~TP-n)(MvF@tMa7*URKT&E{vU6w(d->cg;TIh~7o$?VyjXq`d!Jbwhn)Y?
z-)d<t;Kpd52Gb7Sn6-pkF268wWdv*|UCA_ByFnL~4=%CqnHokH$oBTaGl8csj6YTW
zglNwtFDaOQ>8B(3EJT^FINOWM_bJR+Rns$2tZ~gdi0<mzM`WMtGp&d=>@*LT?0eq|
zg*?736fRH*@J}p1iC4Zo5U7NPBlTJQQl5sZ6ZY!S&Gbdw_OH<$t+Sk<K}&$0WKS%p
zo<m2ZR{$Bo5aD?a*sm56zrzk?eYg(zM8Prg&P|_`sOHko<H90CID+$d?d4N@H7$H-
zTsEgi5p!q9)%o)DjX)sD$LW{yzt?bnmZTwyxzt4Zo@<Cn*Qk88xM^ll*B<MZZbhH8
zg8tvtO%f@S(@ca_zNGlp{f_3Oa>C89yRa;kb#;i3k9N|)!rFI8=8mm>JX4}QDG2oU
z?Crdgg7Gtl2)hp&&39N9*=xK)lGL!70-<&z9&mFO!XR{QmgF~EFwJYLed{Nc;f{O&
zrKe`cz+k4li=jmktfedC#9|Db3!4I)d6Y7DswoG2(ndPQd=Y`<!BrW5)p2`~ncovS
z4Q(7G0{<?(9fE#J^7J~&@+QNt-bmcs<U+4q*d_c$?|QxQT{nN#+midE=&}wY6Pxt3
zYG#Dj)AfFzAjU^*fG~uCxqL#C=HF4H?&T8d)jYPU9gj~;x?E&$(~PF|mD*LVuWmIe
z+Be_1KH7<uz6Y*MqWjmLQXB40=1O-0V(iV$>+30X)<4;#ZuyS$be*YZU|UM_MD%-m
z?BS$F;H&#*Y6OFLuWN*$QF<WxXa=!K&Cl3*4hzLL<=IaU2*<kqny_8{0<eh8kDL(Z
zA&Zr(=7Jb-*-=qzt+IO^W5?GZAI%bgC_9`)O7eOhwQ$qig%nQFtj12rMgwo7&!oSF
zYnK2Up=!V_oXp43H^`ZBQO(uwfb&!ds&?~$?M9*2Kl>KXGyLU)HMI?$vS<A^AA<#&
zomq-}O2WBiQZhxHw_`s<l0HDKBagU7@oCNMr@}uJ1uj%+jrKC>vtSA%)bAWy{XOI@
z>y<0YK*w|bVoxt?Iz^g3HmCiT>ocA5e`q;AD*K6H1sBfI@MC33V1>QFz<aK9J^{)m
z3MU=qzta(VOij1w=T=SDLX#)j+`@Z%B!)-n&99UKY!E2v7ry{R?6%if#GR|s9Ls!}
zH@Pwd2qOT(Ief_GKFWNsI;)&3ADGX%5p9c<{9dw{KNG$n{)miE{jP@J!1#l~GB_P9
zi6RVH+>}RX!!<;N?NaV+bit|^q{l3{wI0Y)<!+`S%MpOV+P)2qrhcfiY!TyEBSU6(
z6I&=ND?NRA9p=EAj31vg?;^-o-DFE=AW;qIIx25mjTeNgS>9?po|$L|hQnx4q@hqz
zh@qfm0S_K;4|{#lY6X4#++iPF0wI$awEYh}<PZ5-l11|C$Pl;;D0p?=kIXX8hjERs
zicLUM`gLbGHhd#{`M~9gfJAgj{~b-(h(gCrGUF^2+w8qh_^U|shV$kW+KdpQ)BgOd
z&Oz244W63IWiRFG28Lhg)?3Ny`2gJ-@>1h+?Qh+rFS)nLka(vr@*1<w88oGAW1=dv
z7};zuk2fR^2>^EtSuXTN#V?-K$$(#98rPc!p^K4U+}Ze9HRwdr+d`c;-n#|=nzq)|
zfTn5w^LHOhTfn{F!Zzm9vLizEL>?jRKOXk;Mtl9awZ+O%cQ<;6JDYu@kciXv5S^|(
zX_m|kEq?GRG$BuZrI#X6{7(T6zmTDY!h7=|{t9}h^2^}!@x}D$;-=#d?(`Oeumn<$
zpocHQ5D4#4uG5OC)et0HM#*#UA!x|<PGhq4m-6sWO!^=Pv8MO$?uI}~w88_>Ua{?I
zrxXAgnn0EK7eH0*iA5qHCTOcsUASGPwAu`}d>8KJsaS-RwhO`tli?olcbAiawFbm~
z+FY<^m;(i5JTWSU7SR~YJn1|uZa4AvMt=w9zOA1@`WWHW`}<073Ghaae<Z53ekOEA
ztW8@3Ep!MEE_2aXYg+YrceJ>O6_1N-lqhlqa}vt@P5RZ&lkJ=ZKElIYXw)Ie;Qs6S
zOXY^3XA?wEebdV-nfi7F+1%;xO=!*v{$mCRQ4_txvB#uVR5ZCN!*G1Xm3qo-k3JWl
z@6eitp0Pm0SsM>~s+)?V{+aZfH|!L!qk&#R{3;O=o}@>7h#g<6@ARX)b9&_=zK7_M
z4G#Ib3fcrrSU^Si(Kg5q(}Ea6tx6v;_7!=vwm?VISLP4lAuF;Tdc3D?Wx23TssO~c
zE0W>NuxyF$7K)Xzvnegp`1fZoNJdq3gr#NrCa-BHP3T;W!+`oa?3+jc>A9GH$yf+T
zUI0AX*oWg-V(Mo6oe|k~?3^^s`q<QfL>;)D10ID>gd`#=8b0YX^_YArrDzu=|1a?w
z!*q9}cw1<2v)}MEa~X0Wt8W{r>k&7|C10FwL^1CJ+~)O+W)_DH7^N99A1}!nr+6X*
z_mmv__)eAU62>9%?0pn}Z>l=nj8+(utF6s)?uNq*ivz~kh#pD(%O3Qp9HY?#=;cJL
zqiK3o%|f3$U~__;vZW$0R<Z}Z1Frf<nnYAOs9YuQ^DocyM+K-Jk7JSRaaeiIz~I!~
z>E<5=*33~~R@>urW~|Y=jDJFhOimwtI>$ZpwIt0kx;^-)3Re^`mB1ARB4Wy(;aqa<
zSIV^6S{9B!`AzcpD~YB1FtqdkU9|}j;PaO_bM7y!jn2gsG|`WGPXriqGQ)^Q@RTZa
zEHbrR=+<nyKroh(dV$tZGI3R;P?p{Oz=L3pY@j)0I2wfeM8cF<)(|tDD+(0Qg`E=f
zq5+2(W4Mu1E)N<zdDURYn6;<AXdec4e}a{ttzl!U5B85ICZB$YS7-0zefyjhn)4`4
z_Ib2D7pB{t3akKV%<;j}5jj5Yq>2-0gQ$xdsDR5B0R|V}G!&6aJIfu75!bV5aP#Uk
zvPKVd^mTH^R?)_&t8AY!a(pU&tfB`eG_~C8rsBR0Ml!acedLup%?od^lVdlYF-^B3
z=$N4s`&6y074JY13rdBr{8zX?lTD9~|4u(fTQav{qt|B>lVU+T2AfF}2igr2FVD@D
zNW2c=Wj<)>S+K$wY=%E6^qTBD8A-Hq#3Xn`S7!m$^B8S&-=;q1Rkb9Qi4oJ|vh>mF
zAOjbq-pcUatk)xi8J|E&QIC}`x=$NaI^aB>%1w0TuvlXp75QhD52l>HuF@IX8z?V|
zK&#&0gnJqRvf5&IW#dHxXXUzZHk1hdgB<rxV;Y9{=z|V<jz*F%OQY088_7eL@PI;;
zVv0A6;R#%aNMY1y|7YYe>yE+9GJ*7Yg@u?A&Jd|d7J0JGBJF?j*J|-nKAW&53VKic
zmFZVyoxAD#r0*dyK3J=VRi*!BRz@L&Zf<(}K9wY=rdK!KY9JI}-Zj(K&0ue9E7>yz
zPlTcV?b7$to58YsZJK*Y+xRhLlf9XhhFEhj-Ks|ATl8JBZ%y)VC2zYn#~s!X@C}E7
zCH*I@y2l3tvLa(S9bxLItK09y&;8<g*C=+HlBV)E^NJTB<|>?*!iW2FByjR&qZDwf
z5wV6UZRCeDQjT4l(ad_A^oD+|47^h3nCj~PO9A32hrX{qW>pj=clG(Zw1QTXp45*b
zep3IF0szc~J9$R6TQVx*l^X+#_Qxl7c==}wa*rtWJ>CVtoiO+a57Hmts@IE@?F@^T
zM}x$Hw+{Hv%_K)kU1?Wy!M;ze!2u*1r%@9{A@_zvlvl_cx>QcGUCezs=DjeU4K++f
zvS;+_8NmwmiH#5<7<$E>Q2~JAeGVOLp=x$GQg_Ypg%!G|UTF_s?6QhmbA@_fk%qgo
z%EFrilfOhvNm*mYV^kpNB11~NZKy)$tmE+KNV6HRJ2X}s8JI%QqUkeIwqt?9sK#Jc
zZ~egg(k<NI@&mYiAf)35&6-KRZ5;D9T}iu&3<ubN<BQSDouwu5MmoZAXeNmtoCtSp
z6fQ`Au@Z?`G?PZ#QsV0xtJT$j;1cwIPGf59&){Xi`zS4su2<et@ih7}YSB^%2)h}o
zY-4|?QwQTcX&Ziby(e8jo!T_SBd=@-<|z}6CJgg>0$~guG~Qa;I!G(vy`WW!NlOz|
zbB&XsK3XXc#!jl3N&Ib12jhl<C8X!oq-bHm95!S?vD)6BnO96^4uHN5%_9}y)^ssZ
z#zi)IYK=7=f*jPg6BkG{b6e@6cS{0$E4Y;$YDei9P*(j~>qfsO6{rWLDO>Nk8?dn5
z&!Qk5u6WJBnwMbI>C>En{(*N)yJ#j_WODm>uOjU0T!lQwf6pLPY1<nT)?Xf8oU%ZZ
zLms@HDoy!M<%yH-<H%yF`qYW}YBj3Nr*4o6HlJZXGPPW18eh(7_HSZbk_vIJsxs`s
zss|ck@G<uAM1SVknrc}k8XU<*`bpg1OEvaNOQF9N-#+DPE`Xpb8ePJ1OXRx_t)JEn
z-${%QSs|6BXt<V(J)H;(my8aC&oy{~OuLI5k|s<pv$JuAVEE}{LlvIojKT~kTt5+<
z4Agt3>2M|Aj@gkm+wRcJG8BW^g_zEPHp4JqP+%i(6BEcEL_cj#r)c{o82?^?4@o&c
zfy015D@wz=^}OTa`tH!u2ZQLhlZ+Hy4zsj3N?Uqdc>xXb`e%<?;xu~V<!|NYkZGx0
z>ur(8rQ3G*wC#XPaI@k~jCz#1G8PR2$JXZWKxEZ+kA7v{U1cz2fFY)wqgFes!d$6V
zrSRMqp7aAh9L16J&3yI5Ly}}0{h!A<IsRHIejs1iN-4WzeM85~>*S|diB`#UN#@>D
z>>72tDv<kF`}MoDpJ#LZL~rW6)57d#e4|P?OY4fX_gId7K>ywBLn~FrD0qS;JL5v|
z9_@!Lwr%~pEv{7Uk|F5<5Je0urrcnj>#)&^4O9f6%GDY@1dmc#5GMQ3Nv-oFpYg)+
zgkK=9xrlA5O9jsfkfFfi$D|AVXFk{|*M6fnZ9mxb#S6x8os1bp&2G^X9Be=WN+@RR
zK7Yw+srf#k=FC!p@pe{{z`c4VVqOK0bMFoX#9N`@L!M8F!-8Ns_<+-VE47ME9K4uO
zXJ8<ow?dmp>*mI92)``D3CHMHpX*z?!6$(E+@V*(?}?3?%l<efok)!^swcN&m|I95
z)3h=VTHP~CY}3$cp+l=bX7Y@(hn>IaPLLlHqc~b<`eYNm1d<NJ93Rnv@$5lw>5Y$M
zN@o)MDa*d(;rVI#Q(GTU4UF7G_t291Np6!QS0B4WXECS>w1V+O)qTgTSM8v3qC{FV
zm!DZ$P&1D#`lzOav7v321-wEX2>@R^DWc~#+Iavo))$)>_8kk}m;6!cVYtn`2D+Ko
zswX5TL*|gEJdC4D?|ItYJU~u_QA~*@aQOr8;}RL%{P>Xd`oB2&D5QTBh%b>R-op?<
zrup{_{oJODvEuY0(>#8sGAxyreBQl(5wGNQO^?R}O%tE&+g7gH8iC&!9H>-7Zy8c5
z7JnF$X6v>B;DI9`2drWW*ORix^wcC!j>zr=i)}2dGQVh^>Grnr;|#iQNilO}PDta|
zs^>Yo<YGl21GHQAA<c0bN)xUuI~&r`UT=n8S*HaQnQ+mT17^tHW8TS&02ci@+lEf#
zi`}6GX_$$J8kj%QneJhZ5lRgd%f5*hjWb|O;JmRLrW{NgRzebj=c3$w&`E#Hb;)*Z
zVHCu?1RmqyQzQpMaV;$2_=?PvQ#~v!XBCGGDaymThDatGm#0T;ayBx3O}gvX!b+mr
zQtNW5Y$|^m)c)Bf;=h35udfgY80(VkNrKI?hEmy#R?Tq+>8oo&PBmQki(O~(!*wlE
zQe1Zj83q=NM_+zv#VoOmNvXyaig!v4>ndw1;^EORwG;s;<m=@y5j-J323VaE%09i#
z(}vB_bslhyrZ%L5ujzp3qd(f*R~*^*xLBK<Pr68741pEM0DLd#1D!$7i=sW2X$0Wa
znG|rZF_`Uv%npHw3uXW&Kkdqe@k(L7P(EOY9&m_Pvol+{RrRrPb+=2Dvl2-u>(VO;
z0G|~K#$$f$akyJ*1<ERfDlOB<e;5&{Fuv8#BY%hAu<5X-e?!pd<>(?mOgs0RY@9W>
zA`A}QQ*WRqPyu>ePqUlFF^u{jr&U8MZj9Y@2fB5Duh+lqD<U4p_^hj3GmlplB9m_B
z3IuWID{JzPF(y@sp4AlmDa~f?g`rVUD8JEB=94$F*ChbvTZ(=j0%_!>ffdOwv!Z4D
zuw)8a9NZnsDD)RCj;p{|B$x>Rx`Sy28;G3l`X!BCBegW>vT*?{0DFZc4Y!@W&o07J
zB)AZKuHE|o>Vu?KtdWHc#>O84?lMO*`<ZBTTKW2%`e6wbH^*sn4ArjBqHV+OMr!2H
z8wL{;`azkv5R-Tsq7sGurnsI{F>Ep|2SN@5l_-4&!b)4I@Cq;rPpGf*znvgFQF3@7
z)>&SR%<!eS%{XJC-R4tuD@mO~lg!@T0o*-p<!&vV6<%=Yc8)u|l3oPJFW8>n?&Xm)
z@_>dvTO$@Snow-xE9f{KgKwrRva_G-hd{sa##x#Son<ex`KdMP=&*ow;7@smO?b04
z*Of><cPu$$OtGDuae&+bsP(V18VT6xHC)J9uY!$#0#isB9|qgQ{u3qu5Mm^*^uFP$
zxpCh|cDx+_(<O|MR3Zm&Q+;%19rrF1Z}N07n;ohy(-{BqGVq>}H_JB%uR>S)!wlZf
z;Vxn9oV^T&{yl?cuclHD9m|f-5o3QjOWDf}r00?sLgtx`FO%T4#7V|2HltOZaEndg
zPNJZEX)r&cHEheMZx+%r<1mvnl!taH*Hco4mn>cA$Rg93X8Tdyhww8?u#bXCGr@F>
zUlZmVFT&3f`Mwl&3ONf~Mr%`dNq0$SXKw9(7XlZKE_IpSe3>SaQD54LUi`f~yeN8k
zDKWN-8ZYv-lw)Ol{zvNh8K>VSMVwHPlMF?>%|dUll(|KHObfOcBfG^M60luCa1O^+
z`1k0<>lbV<8!BoVVD;7xa<i0u&=L=~o&O*FmE_CevIPZvMLBJW3U>7`H;n{ZPg~^J
zP@14ku1~Fum*<=l`NFMD$29~<-W~icu-T?vMvI|Dh&R$(lbMHJsf@l<5xN|{gMf;m
zo%8o>q<>JEAXgRSsFl~ztpodb^u?U}%hEVg_6x<h^)?czA=kWlW^-EMBFxfpC4O3C
zRH$UYx|$HSOJCU4*;|3s2G#FTWtJ!v0IN~G`HkazFttG>xX#GbYHbBrF9n~O?qlIV
zdO4JZ+E<$b4v@?g2W+}WHUN_$rC3<@KcpA#j_T&!V1OVC1ZoAn`Zd0^QE3FU2!=N!
z(qSWvsLZrT$du#rl`aUReYD$QNV3QQv}4;i+d73+MX1bCdQt*JMueJ@nPLLJXwcAJ
zBOtUe&^+C|d^-5!eWLGstLm>Yt$IJvt+c#0)qRlPcqV+WtLE#Qc=fT@iHqH^=>u5<
zN8zQWyxiD+`L>&5WQnnf6MdyusjsnFszAox&xnJl^j+}Osx$bN=^shDxB%HAcU*_V
zR~unW&6Jy^`iRa1@!GW*aomz`zrE#5RCkK2!Qx4X9AbSIRk#q^Esmyq{OS5_?Jfu2
ztHu>w5AJ<aYHrl@Dzrjje)Cq6xn&CPQJ?K?wlaf);Lj|n)pxKYQ%213*C;70jT&X>
z>YWE@zQMv*=P!`1zXFEn8NUG}xxd3)6FZ!o){H>2f$?bBJ=`ym2<AD>jCSdYAf0==
zuq@}lADS??JO<HUDz%-9;xM!m*B5QW<ZIyg(8jg8$Z<JCBtw9jmT&HbZ|Lqct_tPT
zCWX~PBvbax-dmub7W0+;EPV?3-`x1@MYOFd=Xr|<ZJ;?l9^9XMg~#{xD0=T0Um@!8
zV8`Meu#k)3AYDhDr7-ZgS`V$?yD08RRm|@4To<S%Z*=A2?;)+)ce_l27WAhmyprM%
zC!0n{s6fHr7s9z%r<&~DiTX*eQa#eIR-X>TsHrRlzFS$|tU3dhNZ!g8;)RMKk&660
zD3~1hqZ({XXxxFOi1+4z9HW}RIz1N~Uxe&jDK+Y|q48IT*+95!Vb(E?Q3E#T{r$v<
zv)Y=8aX`h4^mpChYU(ArUH3&Ylz}i7B6##@(&A&Zb&HI#6#nUEbSNprm=dRQ)Cm_o
zJ`#}5i@??Fl*<kWxNK{yopBRN`NLjyykUoi8{Ss4!Ny_=kz>U?i%g-RY_LI<$AbJ*
zqKyw}EyZ#4usYIbGiLWk0^w;Ye;DF!%@<ml^1ug(j%$b|iHtf>m|<7>nGecB_p)B)
zUq?Whkty`&;$U=!%<)XS0s)4Qae(vAwJLvJxx9*P&FLBh($M>}ZN>QBR=NPe@2I7~
zsGaqA?bpkang3cPqJHyRyhELT@5aDJ+FP~Bi$|RFtA!fhQC8}ET9V<vn1*U1GQTxy
zzB7~hjWT5AKlR*qpU03`^r^`md~11R!scedL-6)Qh}I2!^Ah2#9S5a@O@4>%Pv!|~
zotEQZfBaLQ5nB4IBfAT^9cdofLLNU(aooBK(=O?Q_R*EA1i4AWpLal}xNDwWWf*4p
zEFCn3#^6jy*}}D@iu_B9_H%(W%d;Hu2&yUl6fw=X<9dK76}##kd-?lkxe@gnjZ2b2
zkIjzbeA{2<!(%&*)GPs%Fcuj7d@c2!M!Ab-Jwist*X<<V1BrW6mS&c?AK&i4&DO*F
zsM@T?F0rULZxGtnYL2i*$1aPSqZ%fKiMo%6s135VZp7UvALZ6W{zPrBKIsU+g*!O#
z48|#UO1R5Y;RmGT&Hck88+TOc-hhIKGLEuLL{9{zSyH<Qln%IUCuB@{={|KU7<6~)
zIxjyL|6W3&Z#RtHPJ8clZ@o{c+BWwx9q`@WqxC}Ez%A3Aiiqo%yBZvR=YrI6(P)4@
z3Kx^=0aWj;pxI)H?tn%4!0ZtYC(Cm+j_?k(@UdH@K1cGOqO4!eGl1P>MZKOv-8Q7r
zR{>%=`-Jt}7KN}wwo+gm(C(SRG_djO$IERcE{=~z?`o8d1s=3yW+|#`{jxXO{(#K#
zWKc#Gfsz)|$@&V;PaE*w)cv4U!x+>X9)wA}&Ai^(+z&p%ehaCt_;!6$ezW!A5veGG
zD3c~`!z)P7)WcD~u7=?qgOBaMUA)iXOX<C=-d|bZvFh9WGoO#rf4Qxqi6RFKG;tv=
z^oOQjHtnyieZOd4ZSLbjg;`e1G~!agKX<s}AWwUJ8Th)daF^Bm|AM@iJfFp%PFr7k
zS)S;LOjdPCm<MiUN>fb+t8h7&*34YSDvR^CM>>7N6{C##j+~Wv(LSc{H5QklS71uR
zXu0xwK{~M>fgkF}BHl@VvXS27dY!wu5D6=z0oDn!lw_ix)ubr;tzrTT%zAL-E)SI>
zlea9Q0O0n<bVj}RVL}vt2q)fN7z|pRYB1rxB$pshE-GnL9an-r2a-kS+j!OZBC`|{
z>XD^1htczzG=F}YjzA+QTsGR_p`E!$<qr<w@_UDrVl24%p`q8#z22!$NTf9L&uOmf
zk{e>Kki7>yYI+&ee!d<AdY<ZwEK$mO4EmIj>Y+GlDH~G9thq?`GO|H~d&z`5*#pD<
zpc+Qe{$RTnk9-MyrFlviY%4eF>JwpllX&>$-cC4t=`&LinLQVu$L^?&-r=R7!uZ2p
z3XS62dmvUF1ha>p$iUVveB|IUy(F%5CmFBpSmRqI3F4L8yF(oUe%4lu)p<xQZ0}<F
zAel!XmRTQ}Uf$`86)iE=%jv`P)$(;HPYH&67%(N{Y}1O@moEDG*<Q$WvzXzd_-t*W
z7dC;hD}7EnITnhsRs}U~Dk0Z~l8E@b2C(J|Jk5PCnkQI>T^8vPH#7?S;-S*?JwKn|
z+mc_oA$C)ouH%#%m>5{P<2~Oj2q`~qhL-+IBRQ`#t_Bolg;o+grv+)Dbw*jwm6R71
zT7G~{=5qK~GF>s@y3L{sP>#ib>xppCisstO<W!{A-gF=@p`M(NGJ%TtuP_8@_1!7S
z`J+rwlh@2L$SLIMwk_2dEip5h_qTLiRAw6V@p{CWly=#qO4alGEgXNj_DFE(_}heX
zeic<U&w-7xm4kl+>!Kl}INgk_`sN7S<q)QRnP+iW2b3pXT^HY!u~knq^}5l=2s(br
z)b@jiX;&j5<>pX9*~FbZ#N;GRLqd2k)@Fv;Ifm|Uaf10k;U)Nc_=~#xAw_^J5~~#T
z&2YxdJ!|6HFGZtz!I`hjfy*NTETjTzWM{@4rZMA~Y8nf&ZE!K0bC(9Za&3D3)4kbY
zHD{7Y&A!>uw5!T+1nUVzHOP<y(Q3DmS`Lb`{up#zU5U}u8(U0qtN*T6J@`A4`Hg?*
zGoOQfW8^65K$maah$!apk;KaU>u8q7?{!L{+As)u)5yS)@<UpwNO}ZdZ^rNTW!0iy
zC|^cC>JdY53ah~!xYKAF;B9;x?e8P;KDfR^;xoOD?x!l<7k*%%<H+F$MF^9t9!A*f
z8Xz`&!`X5-m^~baOJK}4xen@y9XsFK4Ol0Oufwgz5tjs2BXe$!1Skqf$1##JD3BT^
z(-`4zlAgbDO-USr(S{nZ6TT%c2v(DA&pw=fsMu%Uo*JBKB=_Adn4ShTqAwJIe<M)5
zio;`rO()Go$lz>IJuo@z_p|x4y2>O%5Wnmj0+S^k9YDdeOMUh~)S@%lFchIwlr~wQ
zh#dk#uPnq*A#+d=C(qX-;NUx=yP&76Up2zJmkOJw5O23<^@>MZEYn%$SQEU5QoV@M
zCYKu5`0Y}<66Y#FMVi1qEo+7#7yZOf-f^nGg;7^u8Zwd0-_}4~EzlqQD*(1$Vrs;y
zHXH8s=DGYpigQTTVY1(jlC;5o0PV|<TZ3+~HBz24&<m6aDTRQQ0FTW`Mrbs!kVuU3
zFEnjt>IdfbsOM-S(6O&qtw8fotS+cw6A*A!W)O<eh-V##%8!K57BFp&OA)p0GMx8C
zNSKee2T|y#xcO=)@RudkSWUsI?8!OGQLb~t!{s8pQkYw(ocI|{Yx{yc*Tq9_vOdht
z=Uw3KPry|&<UZ^6euOR=n)S=-e1D3T!J7Nc8HD=lB~S9uh_b;~dsR)Mr?d_CiUD#P
z{x+u&`xXjdAbRFec_JXZ7kdjw!sGnPFW_Q1;`>N2pA0=_W`_$|l{WpQhMUvYIk9mG
zII03N>3lFRc}h;c@iAOE4or<`lzMAiF9|*7-p9OQI*0(4fG?&Gsjjkk2kW&XB1|s@
zVXJ2l?<>w5Cba3qD-y?#B`JY`{GVJc=R)wzkiMSPXV4YX!F=)P8-s;EtPb*7^Tdx?
zLsV&k>ktiDnu-|7QtFwD^WOV6g9t7h+}{YJ=B6fJy+rbtWfk;|bZwQn#z{<F(&<~n
zt1w%+qOEjm!BSQoAQi@|wt?cvkIMeJ+*c^fdUb&QHLv84q)RbiM0qQ~hqRw*>58;%
z5(Ds96Do)XR1fQ(fm!yPfu!PC1n-%_g@B3K8N)A6O#gMqu1bnSM7q@+LS34H>@Xr}
z+j_*VP!36N@`W7HYn^!c2^&smXbO@dJ~RmC_9|R<t8t6ewvIt5e~6D}UU}e{m06{7
zYFcuVsdxGY2Vz}_ji+*Zb)!eZtU3ZB!5gwb8cfKz@Q>R<T5ee<Bs<RP2N}p1L3`CX
zQ$0LOwi%&q4TeYGYov~rLg4<Vix29Ov5%`S|1N0Vc~%32cn*X}fiJ0D=##c|ue#qh
zk}IQ#E|*Xw$>(E_ZHuIZFR4^IbY{ZA|K-Xl|K$Az8Q^a#!lDa=7!%3q9jb>e24+cF
z=(`XHr^4HNAfJ7^%)S<5fcxH8V0YQ(nk7UmMB&9?fKJrU`wvRWHdVnew}oR^OG651
z!g6wP_lGFOl|ct}ypRpL9OzWNA#E_WSiK?wh~dT<6z3#6dN}Q>{t$%r=j&%bVgy*-
zm3C~_n_wFmAJ3A~>UR1GX{hg~aU0u*ogaZP-p~<-Ce3x@v@|*U0s40^k@{_}<T^#L
zHUUZL!Sy4n+{b3kTFu48eq`U@FO$I^;;8o0tNmW?nU#zEUb>Dd@+8h|V<TfE5vgZp
z{4YdBzFWU$Fl09?UTIt)*!^)Wl~y_SR-`+nljfl4uq}_jw;C(&`>ebL@1^tH#+J3W
z(3eHW(%CcCYrC>9OYjpK5NfXMrX^}h3q#l7s|UlyfOQv3Cho3iqvsR(e+uh6iy{Oj
zmMP)}y<RKj)V=?Jw=p7_!cqJ}#{%=+Y~TQ8EN@l~NV3h*?79ourvrpTS|J3A%*oY<
z=?-HD8lZmlq*?|opq4-_Fc&~!+5mg|CytF?dX$R}qoqo-(HP%uUb4WRc?PTl3nLNM
zk<N%bl|vwpQRiS0dnwqSW|Mub^>FP>$pB?Z5Mp;?PF<wcuD4$5IEUxn8%C$1$WH^h
zh@?(%J)fD0WzkL=0$%zXhrwTR1@vhVJ|#%@Z}b{)y*YS8MtD!7kFk)?l_LIAkA5Y?
zFSnC{!}86op2L#8bUnD^>R+?>@98|zZzhif`AAg9=k4grRqxsf1yl?^T_(eafM?I=
zwNKM)LHF%~N>D1-g*9BuD!Hz`*RWK%4uUgD5{nu{h7W06Wg^LvsWU<PrO8)J--2P=
zAfBKRxL#&k8r_LR+b(3PTDi12PFDN2<<Yy3ANZy&;Bg!ooh#y}1ujy-n|thmxH83<
z5I|#5&CdA^35;CHGB!<kpR~F9EwB>sw$odG%)-;I%LK@LYqbh13_5!)dKHaCC?D6J
zyK?-PkL_Za)~<|&f{?gN`o8scIH}<ttVO3l%&3}u@uvFU28@n?MX^~a8HQE!Zf=Wq
zR^=f<yo!&2_AR|=O8QtvIS>D5SNDpYTS3#8jI(16c>h>b|IDiqE7CBOQ^NT(_*bL=
zecE~KI+zMd+VqClsduNuR}%b=U^^(V><~?ULnudx6iKKkfr-k{x%0U5tdB)eAm>b_
zD8lblYaYC%p-zgMLJ~d~0q9zhM{j2XM%}yM{h}_tQYh#mh;>%lrRjuIOI;1O8rLL;
z)F@z5Q<V~8gxX=iti|QIDewlLW{)fT@S#?Tcowi_fd?bxiUym1ZJw?N8za?tPCVbQ
z0SEfzpq>iKjLMF9zU|z2{wkw`sH3{TyLa_<fF)a8<Nn?%)`C`IhO4i6?#+8-h9~2R
z1`~7$i6N3ZC=hO5cYAh7Tu!<3$nW$4W{QFh=CWqIrbgp8Z*ctA1D0VTO<j-kXshIm
z$`w<ro3~$DH`(M*NNa}v9Z0`PkEu@1&;4PE)0@fMu7L~(UEG#oaFzQC6VD=!8oq?g
zz|2N9H4Osc@;?C$BT)uLem^qTs^K6{KgeqLa@kM0y7+$z8l?n))sZ$?wJs%zfWN{^
z2)OEv;|*tEIWN6WImDn6Tu8b%Jx<&E{^8E6uPQY)KkFFcZG5$eA+R&8k3|E0wASIG
zKis&x7kz=Tm^FQ<if5k83ET#ir9Oki8>W-T7K{dC4?42S;(zKT=m&jUJ$^RmNXnK&
zB7GA&gmYmDZ^6<G;pym9m=V4h=($ZwTzkOF+kNe0m-^Y|nkWizyPI~mCY;fu|Gdb>
zFvT{2Alc!T{B7YR7P!k56O>N}LqkyOgq?NVn@dE4)k+knv*>3ChV9s5g(Xm-jt#*{
z1<hC+Wdx6aMF0FoejbX~_EjSApiDPZg)~chs2<}S!;hb0o6~+NfFch}*6|Tg>h3XU
z7=-ETR4Ek)xF>-+)Kpfh#zfR0TQGaiW0Yz`M~etx<a-dAK;}2wnVCdr(N4+%kN&-&
zH6s{pTB6F7&HGfJaKCU-m>)`HDhq0K1^PXZ$*o}_d;DAJM0NT4DD2zqlF5b>{(u<m
z3^OYK=Masu4`xo_K>mv#cqKGPvxyVtSi^n?h<}<q(kB<lAL6-sguM2~GR#*r(`s)0
z5p7zV-i4#J{eDk9AJ`WugK%{W-!zbKV}MO@VOFgTV0hx~GseHqMdgFc6VeB}0(fu0
z0?Kwz?Vnfy$D8K2_-X1(p#FkOjI_zpHsxe0l|(*RJ^)UkSxTeVT{A+Z4j`@38}Gho
za{T?_tBI_zqhXE)#4dx4fn|Z;$XdjAxjZSN4zoV9eJGSEIleMX0+s-?pi+`99%pHj
z)Y0}26=Ki5fS5NTi|`OeGCid!rugm*kM5hx-|k&&ttuZ4zQ1(6ZXtHb{P67f%~|ui
zWQNDqmyjP#{n(;nPV@hJD@crM%(UfuxOBW-=p5)a>q2HhD+PkGPxVZbmG7KXvU<`2
zu`E8_;9Oh`A}O&L1<kR0$ic9``0O{$5)nyP*dosBn`+(<+N7t~i904i5JTlnf#24>
z#(RT<e@?k2AGoQFm<95BhjtGPI;6XiXJ7YUFuA08#GGJIp)Jvqp!4ge!78p(c_bWR
zV`*~``<2K@>r>txt`=11gn5&-MbvG1+VMpTD!8nhkft2K89|5=O~!hqh`yJ$i?O8X
znG|q=g}i8?O9I<X66Sj(Kq+P!w~%lCHY5tc{e4NYKeTbA5x~0Bc#YaTVZcMa#`xnQ
z(?s30=TCKGpGc0cQ_a9`XIRUvA_2D48cCX#cFSFv(VLSRPQoZm3hfoEcn;!~1fJyo
z_E@UTT36xm?Rr9QNb#O9BEK;m%}A{4Tt_GTkIaxi)abdo`p$wAI?>$rJALRb-CE2c
z3a}1TStwTKz8O$(gBDm#<(_+^j182}Vx$twots0qKzSMI9C8^TaCMPv$+z_^6}#w<
zei2fqb-mLE#k~e5wP*8eX$a?2kC_F8a{(6@A<o>Y6bbDjMnZ8Q?PnR-nDKz((RBQ)
znU2dcd=`&*6Hs}hI&nFpMW!@tmsX8cF$wk~t?;6f90`4Am)v*32L&7mS8VPTTvT2t
zzRJ;#3!Iy2MHvAP)qndVw(jkd@SaWp4VX4MWk085tURQ50BnDmxog}(a8o);Xl9_D
z`SuS%XuQbIq5U=)Dw<th#4OLXI~5?3yC6SHZ=4sHxig)5agQB;cBlcUH;Gr{=ulN-
zzvLOn_~|r42Sib7It;UtJHffZdm(gqwtE(Tf&TbsTuJ77xz#Rl^b)6GDhcM7Q%gUG
z$5v9lV;;K|_8QnM@|MaYNSi-2v3E&0sp3r=4im~T*`n1!1J=PXfk}s&uWid}$`$VP
zKqB+tbf7X&HgL$ofCb^R<A*6}j_U8My<iNOBs`}XEdhY2akpuDRq2b-*4-9K5>l{D
zb=X)-v(*?6mx3{0iJO=J9gY%jX35-tuxynwjV^{J=hGf$YvMMSMJ4$(`i)laQ3oS9
z@f%`w6aWiVvm|bcah}J<{w)!F1T4y9MtRwpR5q8T4=zg-gl5S%c}6X2_=my+E(>h}
zY62fGHop;AB9@2KKIxsOtIS)f1MyK4x3W}gC`6=ISoZ?qb0hpPzJ7e_PXvk}`@g%c
zs~xE5{7r3&S|MAM*&2G6O#Z?WgZu&0<?v+%-t_gkZ>?>i_^p;T0$q+t(in(uaR@Am
zTSJap8u%RW+amSypL{1wdRs?@SGcAREC%cjxA;vbVpjNq4!?=CG`)Ir6c84~A`aO^
ztb}{yR5aKFL|hWPm90)zjZ<XIr3jIvtuNlt&lM9y)N6Bod)az;0%YM1NBwtE-Fz*<
zK1o*Wrs`C_`j*mH^u5(MA8NeiIC0jIL(*}XQrbG@!a6pp^kkc9BCMu9q*!iZ*vN*l
zKz()o_7VQ11fenDvzCw&P(2tPostY~n0O;LE?zL;HTcmIv>vxu=s0_WVdyyZ-N+A?
zYz;9d!M&i`sNqyPw2fG*6^eqo^4_Xcb-dyR0S0#fb6WCy8i`JyOcmSEZkL61pbT>y
zjldBQDvPN|>#@P$Z1)`R;Kt5$-lp3+@1u_LGzdm@yx9!PUGGxwjwo0LJ43x6#sk9G
z2`PAw9vTtSNEJP|#I~aVP)`$V1{2Y{J=nLWvn~Kl$$*S(Q7^8;#VaZYVGDX>-9h15
zo@NzZ4z>ce_#K}4EGg+m6yIhk89pKsS9ph5#Ye%L%CRY)R@9Z4{33hYmID5&TDrxg
z$IbKorC2(kq>2x+Wn|7P8aZg5=kqhX$cJ6*YJ?87=)E$p@a>}qNd{Nc*UgoB%4Rb@
zzIGZ(>AFc`LtaEVP99a7<O`3#TRP(;CV;!<<V!T)f>#O^J|mUdWe*s5kP|vt3PSqL
z>1E!l+UhpOr1WIf;%ii(>tAi)mPTC_F;$wBmT#RDt?Ul@Vh-#SzRN;(exLzW`$fh+
zmQ`2SU)*ZP9atP35dv`u`l$i`FALzP&4?4|RCe|KHae<MovI7gc@lxLrM;g!x?U#k
zRTg-J;QZ$$$AcfCQd+3s%a>P)%8cF2X@=ty?SH)DlNJpup4G~ehhrqIX=Wg=B`&nR
zwKoj~x^6V*u4z~(#vz+vL0dqmGm{blV^6H**p%o?xhypI289`0)jQ#{xk1y1-hPyc
zKVSF*Q^1?WLU>}q7vSq#6ekqB0f3Zx$SKOnd9HKg11CcJ`eoy0i6^rGxj|Y3KtA2B
zpE!M_lQ4Mgn4ZN-Bgxy2-PvGDCIe+}PoHmpug*osFEGg{<)`-QD7jSY&W01h;j0_V
zg!Ed%h~2jbw@l6?>E)1C3ZI8Z8Ly{WMB9*=g+a&AC{`U5i>26z4misI9aVIcEQcnp
zUmxUL9WM}W2Eo`j!CU8Crz0V`BF}rIY|-E^Dg1`Ox;vXdcv<sQAhdaSj{VW&<yXK#
z@^jRamvNC{JSzVigznbYz6J)jGTCw%$3>}1^A^GQ?q}yBUsyfII)4cn<f+ccmcz@0
z@9ozX0k4rhB9P}z@6aQk_h9)I=~BVbeG?D77g#5(q2uv*OK5!ORQ29Q{iSlL=0r)_
zWx2xt#Bpa;A)2e1^KYTFlEZeG*U~R@@9$Pn;p8zJi+w_>@D2hPr{No}6d5CDIS2*=
zLk$NqR5-NzS>Dd~G2mIxWpC&9K!%U?U2z&t<FaN0gA_1;M!gW0Kh3RpfdeT8>}s$-
zV2ZWmQqIm^lWiu)O2axC@u97cWWau!HdtLVikB&Oa?j(vfjg%&OE!4*8K9+4^zA|W
zZ3I*9M+^YRTk$-J$61yvl#&4}*`i|HA|k=h=o~n<{?@&9oVJY>3D{b#{3f=Ed1Ms&
ztrc)w|Mo7C(XDJ-R9s9f)V$ybbg0g)c}+ks?s7B#@R?9(;5Y^R%Fcs6<Xstd5p~+;
zSidUwf5V^n?G0ZfJh=8+2v`%;^izS|2Fr_MtMp`6FWa$oH-Y!)MUl=-e@SZ2uobu)
z;U-Z)LDZg73AG-DoD?{e--koFyI*j+RXNpl^k}Vj&Ii9Ro7@cl_@5%^k$=(RrAF#5
z*hhZgl~(<gkShTU8)qKO4&+w993G5a=OR9GM!(PlGHE5j&{a#o2CGL@7g>C%#z4J-
z(wbNt$lnaGN&(vx^+6PJXauseH<nbU1n}*s1RxaCH+t+23@;em+49h3S3n{~3uQ#T
zSQK##Z@>IFf1Nd_yi;I9Z23-Av_gl?dG?nUmeDW>kpy^KYw;Y5YS0RcVraUUQsW`~
zc(ZwS>KycM8usP*@8s!%#<79pHeEb4MDWoJn-Uz#F@NOO%1k1cyUf1Oz5%n373yC?
zJ7Gfl1#GD0O2!dAxiT1F<hZg@8Q4;v1n*e_-~jb-^2mF;Mtj7<a|<r{ddIDTlI-}b
zhrh-rM8<O3AQ7#b#+@amuG42>WM#GEp08^sA<&=Pb~V-g{2n3P3H?F`j!`xm>j=(+
zjK?EsR%P*l>g1%jW=%>8(~Cdn88}X>ZinE!4(Q<;<ZmB_kjj>}pK<>3mPW>-C^hwu
z=~9wFf%$J_3<ayp;Uubc&&!b%x(zRa0e0FM4^)1s5S)2@=LkNY@ViWxrRomy0zB5a
zrQ}?~BgRQRfj=EphD9>T;x`L$$wZE}M58W{SKESovtOPunjjvXkMuYJ+=K>cI@6h<
zd?3h(0m26XHqNfEO)kG$%%H3PhpDq*i|UQqJsnC&OAa6sf|N?bfFP&{D4;Y$Nl2G8
zL#K2}4u}FuiF6K~($d`xLk}=<Hvjj$=Q`hD=Gl9%XT@*b_hDcV(Iedl*PyqNxPdhI
zTB$4d26<kW*)L)g93OBwB?JuX|Dw_DPFoRr5(I|!rMlT*x+w{+TRk|Tg9_%)0NVa7
zG?fs1!qbboQ*i*EX#4h0+YmwA`teK$(_fnm?|7rMflK?iD+AAWXn_v%@hV!ZA7T+d
z5!`@cAbh`c4HAd%{~6Fpvq3ZEv%JX|5P2AM&K!A&5q;he<S!;lc+gKo{_z67a5;}I
ztV8yvD-}iou^94T1cBQ!&EJ$DVNfAg<z}flwpC*I=XZ(IDKUPgWa-SGO#?6>V+T(v
zRwTTZRuVQ;_5K_5EkYHN4ZJxAe_x;?m7qq@=tU#LuOe#z8hL2`XZ_&c)Z@YhGjEqx
z6+CfMtH8!TlXr1H?xJBMBDoeW7v*#hOD=S&pz|GKI%~*1eoi9<9RdJ~KE=WwjVuKg
zki6yfWr13D!{T}o(M3&bftuAtyt0l#s*fh%q5ypl<(uAY8)hqWO8F%k2OkGhVl~mM
zzzV6;Hwg{h($^XN5fHD9jY|KUIerB)WtsOIiD#0gTz3bgdaHB4J(RWNIq=4ItVz=H
z0zKLePLsuNB7~h~7M50CKi!Epccc7ii9$b$SdW~of1WdtKdfEyUs{4<HNcMQQNH#x
zl<pJ*#!#W}-!e=xO@3x(gARrjjewCmD;^aTZxlAQ^zey)GpRPqp1LQc#dU8?V6Ue{
z(@$RKhqJ!RM`+NysjphsZ&e91p1q!xgqp6R9NC}_Dt3jftEKUwazDNE1j>dcmi#g$
zM!_)fLzCYcecEz-+U~8oSBZ}&M$zGwACJp3p!OaJLQO>Zb7*6iCGT6WuEA3HuaTnI
z`wY4dgjzhid)$+ALM_59{LVHp;-B}Y@%)!}ca&mvfsPRyUJUCpPmWH!>KjQMYU!xz
zxtKrSAMV8h+@rIFpOUaqCGBxx+j}@_<4QUf1TOPN|Kw7rjN_+f=}6=n3g*u)OvqV(
zdl$oE-^8jo$cc@B{;9g|xW4I;y`(<`jH{FIOLq-J28GQ!p_Obz`Ic2~?q$qs5rEpA
zeXh+z){F!Zr*WUfqJO@`N?TfzB`hbz#66I&QW)AP<iLwCQacRfd&$K;L}4sTP9fNf
z7!@iS4!$G{`y*vr{ik;>7-*Q`JnDjd!9$Ou+^OdyAs?E#veLE)$Rfa3FAKKd0vL7Z
zMj=X)kZ1g^V(O2;Q13z^)U^)0AJ!aq0n_kZr4cu!EZY&{JtyKBVxZy;za9CYToSmh
zX}AVEnez(#+<a?5eG7zQ(W8wOEY^y;mUkMe@+9MI%bPD$Z)F@PI>Jt4e6{bIXnzAo
zl5+Q@+m3D##cfb{rschts;cEi#h9*xjzKtkNA1yq*P@5dWAEV?pDN&)dpfsI_XoW7
zEg&+wzLu}nsrc|YIF{=q)Q~~mr9>t+C~E^Dgj4h(D+I)CRn(h1jJyjTqDG`;PAzMA
zQDY9NJ0u^*nnND*t!r?v)0|vh2P?2aYeG@=Jw;WbS`(bOboIf*qd~+Di>ITYf=^eO
zEJ%HMHQa*Zw7Vq2<*9Jq+=$f(SMF(fp~5)c_l5YvpRfx@{+Gcsu9neRF5DZm+g{tn
zXky%!mhErq-rY8wc(Q@FhqH?_5l^!*@nD9VYbciO&MQ&2kj`ffvALTpgwh#c`^JNs
zOCzrxx*JNSr$yZ8ND$U$%uxJZc;V5L5&}aIfg1zRl3ra}np*miW~lj9+;K6%QsMk>
zm;XJ1F&A_U1%W>GqX&ukOG)ezmIJ-9ZZf&Nb>{J?BxRL7SS7dV#!nWgX!5jB2aNi6
z_He*lSHQ@(A+Cm*?<vtM-Dazw&KR_LiLYk0c1rI4G3E?6P8l=NRvGB`MV-rh#q`6h
zxc)(!N~&J+TYS&;w0WoIfsiz$!((XY!dhtl1SAlLA%a7#um>lTpu%zk{rA(SL3jNb
zJNcGhr<2kqvgf}@P@#Cf%9Qf*#v+8w;~@_`D6qz2q29D*kh1knhYqvxw9irV(W_ZA
zK0rF2gdlAED_+5%NP<YcUT#=PLHe0$A5((uXzXM{p5xf=;?05I!TA&f{=|4DWwQ03
zl0!z4d@bbz_qKrIN7=5inxrg0$Q6viKo+;~h;BXt?7R)#J3>KFt58pI&0!bTxTi{j
zOvLFHg1^b<jO?<_1oqVN9vX9)a24)$ZfXS&XiKdL`Q0zH&D!scuQ$rO4^=<BHe}Zc
zGn%nXQ7q(mmv-Hlu6eB`*7iaunYxeF`I%lZVD86ac0EvuBnW-PERlz)>%HekD{wC_
zOiad9ODn)pKoga1Vsyfjy(V;OF$v2o5M<o{aejoYJJkWgqDr5yUp<z+4tigMK|p}&
zk(d$z6WMJ#@+6|I_&c8VR_Q)l_>!!|7m9Im9pb(R*$>5%{Zlb}aLis=ILP0#9T1!{
zKK_+50g)zC86f?-oJ=&R!4ulB47zePWjag+vXY}~>C5@kSq4EvWMq}dMBXOMyeH_J
zp5$B#nS*-6%nxqjuqNBX{ow`Ht!o<WPp$axHUAz$?`i*qg#LU_%c%1W8V1+;w@112
za^<{Gu1xS2Q2A5+E99%^kFcGTRmxZ|lnB+*k6{A6Pu@y}9YfH<>$DZhvTjI7Zwc6@
zc*!&z2J={K__@RWVO41K0Z*82UC@BVmzD54QHQ;ixvXMw8$rB%b`-3gsa$!EfWemJ
zGn<GX5%O!CBP_Trj4Y2Sm3chgvlLut?f-|V6bE-IdpWsAB)KyitmUN6a?M%i$K>>s
zTRBJos^73%4Sms9Wte@A*jRGb8~{OiE$l`xX)J_#fQ`W77(k=b1O!p*h2VOEHuucR
zUkw(kSOQfR>%ym>>YF3)U{n(>pJb7bV_(TDN^x0|AuV`!W_0(^l<5Q|{U<zDF2c$-
zm=;EqWXhd2f{)F=LKwfqOhK-E&?3*Qgo@$6yKxn&X%+a*ixWGj23S#KP`8P82&AXO
z^~0PGqOllCe6$?B9v|q#_ly4N6rS4R{pnW&ij=Z4YrvYXOLU-iY#L(f-LnHM%OlY}
zmWh36ahz_mQ!6g<eBOgw24(uTgG8AWCeoikm{E71=LwVV{e9a^_l_X@`>xvQ7LRPF
z3jEzWVH7&I98-_%`9H0_9Kf_rM?FX8l{3ltC6jG_c+V(FS*&vIFL6u)T#<cMgPo}V
z`le43tmk)ivH?38fK&WmAmy|#Dsc`;VsM`%4<FL~1_knBs$l*PNO=W3**ELu!x=j5
z5VTh@dPbq^eR`kH`V-S)T7s9;i*JiDZaz$8r|G^!I?_+;HWMI!CQjGfaF_p;v0$!H
zjM}a;%Jg%o4e7rIdXxK(#Zi@8-~pIGBtAU11a)l8@!@;6y}OzL>@>-hJF<vYDRK2j
zbQU?V2PwrEi^tV9mH5HkSS4u#x{OQQ+2hJ0CSvRRAN>bQoY-vIh)hy5d1l2Ur<^fJ
z_mZ&VIsSx;XahLy1H|uqDpvZi?q{XtAlo@YkrIRq2BDT?WiO}m&CwNmYgW5nv;RMw
zf~zae%$&Av1dMr@lL2G}GDdy8_4*D%cw`>Ww&48oXbK{P+ExKK(E8iQM?m6&gOyF4
zapN<m4$EFs;N`#Dwua)C@&4fsv>SB!0VRs^eQ5nJ(iO@7;B#iV#()I|E*AJ}9OCuk
z%;P5R{2mxkYGLYZW8r^&tigTfoQEyZ<?4ne^7Q>2t8cdS0hE7b*qOEIzSfH~ynezZ
zzJ(Bl1LEE>pxqH?I3!faPtTShb%?b=tId|M>0yZ3+(v3+#5Sn{l~r>6nbjz*KY56C
z=6#JZ$XVg>h{;maelSt`{BSil`{&=0zi-gRcgU8)lyw>@#Wm$Pg|`7j#THUyH?s^(
zd8`m4d5XmO_Agab!q<5zi58Y?YQ!dg{FNH`-a+_WdKcB6dlpDMMKwoc0P44|do~g4
z+IFFkYdR#>bf~gx&(b6JC55uT?!6`2cSL*hg>k1^!H2Pz_4)Y`6~6rJH_;|Dvr*v6
zS~_VdeU2xy8*fgDnXf{uGY1|<w4%On3%jo_i<E1y{M_T=+vy+uz&s>|ULYiRZ`VnT
z+F0#7PCM^@Czez-N6_o8Jgk35IrEE|>)5A`2iOzjnxL2IoPEvXrbdg%yU!zF-*^di
z#+`I;N{kZJL%kZ<zx;J!UOst^9*!H5^Fdbhur-3hR%U_^c?=+AP50ku$r!h2S$my@
z&<CFjy6t=HsUJBcY0|AWnC;59T6(xu|H#O{Hq3r~b!ug6!*hlDK}R-nbTw`*NohRK
z7xM`6Ofx=}<%;(%6gjaM_nDK!aHBu|dhb-aU)9zdzKApz#Qi{6a{fO4D^wDy^C$)i
zNKac4jiH2E2IGnkDCC^)q0us=m~GWP%Fd84;bhPpou{W{GuJfV4nZ|nqm<CPpRn#u
z3&r$}w?ENWk|GI}QQ!O2hUwakVJuJ?JcHKqDa>GP&vT&RMrAVcZ#j}pDdusN>nVDX
zjFmhkPw1&eZe~twvZds2s0p{-)8br7@U!MXQ}(>DR+HS4R7}B^w^pH=k<;i4hWgyJ
z-JQ=v?0tqWyqR^F${d^d0)n1C#HYUFR{y#hvsEg-#ETlH^hYq4l<t{CKl6K)D5^gu
zPryOCn9kcTDnT`KFZbl+Lr$)|V4SA4eE0N=HECKTY~fo8Q8g2aG5nLun-A@<C;U*N
zQR;iE1icG>Bplpf4$T6j$l|y0Fa^)^$hcUNrMJ+Uc%9eKE>&x<cY#oE3?Z#@S-au0
zHQiDjekw~Nj<#lm4%*$B3EDi(4uolI9(8pV`tM{?S&K}5o*7_mWfx#6)vB>nls*M4
z)UHGq6sh?K^Y%db+i>&NqL07F6`hWgeplnr4Yc$EI|G=uf69VATzD%)5kqqJ2(N09
zNW+aiqbW%-g;{YdzeV1NLOPf-eC*xwgTX8=pb#P?X-zlRV7mvJ53t?QfTdC9cq2Y8
zDkN7xuklHd7LO$y+y9qy@rpY{!k)mPlfM}tzQ_D@0&RC*W+^4MWosGwdP<rHevt`2
z<m$PZc2~FHvTtMkY`?;;v#NHGL7mh085K!8a5mNrGc^lG5Q7Lxsnt)9>=M^6YJ^;V
z|0Qe~XL<1~JqsjWjqu=+8eJkR)kAYI9aYh=t_^4WN9?pu_R}C&%_v-nu4%3auu9Ms
z(6)vk2b52-cJ){6MvCe^O*10nrxF;zB<+9Lor-s!FPL~tjM^jlmcVN_$kqGl$lwor
zHOam3n;USU#!%s>2jpd6H^BC@RY#H+B0wLG5YN4$H|Jk6(PQO7e6nFXA%O(&+`&*%
zp~pd>cw%a2(YqKv&U;kb9wff|<{)X);?f!yAGd9ZF@+2Q=e&!^;DpH>1eleT|E^Vz
zbGKxjLA`QsL#k-UQz6kHG4JOIdRgqhdbQ$G>V#e-GQ7Iad&RXz<@Wl}fd3JKQ67Eq
z<AkBbI<aw*sUlI{`XBb>GnvID>cv|Xd|7#=KD?c`#WG$Xp>a`9cU~{FJ0=9YS+E$d
za;|}Fw5-oOvixayFW-)D)j>KmP~aQw)-Yf}M-0eA>F_zNXpXa@)Q`8W;!k0d5R2}v
z$h8vvV@@TE<ino^;?(<j2Vu+@r*oJCDhU?)R<h2?VI97w3L~BTG=sI*^9<Xu2^GIO
zs-McayL8!dDZ8>`#=$v4K=RZrAg(cL^=;>-XqeUXFJ_l#Di3^!`WHp4`&jKQfN4Bc
zASMdOw}&6d`H<&<G`zOhRUVQM+V;BvIj3N_1Qyl)_vQ$z=W$$!P4fH_NN=uk{bu{!
z|7CY7ZrPou5F5PTL%oz#lv_n&tO2<HgYQT@+*+HLX{gT@P$%2r-zXm*)#1OpGk)!w
zsf97d>#1Xb)|_gFa`5A;Fr0q-VEf64J2Rbw{mWyM?yM4GBoE5jSQg62<&wY#H7Gfz
zXjvoHbL-Z`SSx6v9y)R7N#}KTt#6!Odn<DkW?3=n?yXcVNu$r)lQyPYFBtA@f8d&U
zv3gy*7=q0UXSse>a&TzWHeCgbgU*0)5bN@qDr{)`ZzK+#qi<BaQFZ0!&#b9G@{liL
z_luxG6UWE*sQ{K)gMdQzY{Yy{|0>%hj4N`Dx8ByuZ&Tc`%tJF$O;{>jS-!XrTX&@)
zdGJrsdCDc|jrLyPN!|81R5JAr=j&0=Xx!*=P!*TP6&R4Z36h8neDhw_^?X8y2QuW&
zKuQWd=>m)P)RSCkof%^6YEM7U+PohCgfkCQC%}Usf&LRmx_RCThotJ|RYD>9R2tu1
z+TA5Ss2g={2z-cJ*rhCW);Njr<cJn(AbwJ9P!|0Z`r&{@>j}|KHMfcMeijU6(H%@F
z`xQa8B4Iu}4dE<Kn%mhrcSB7<puz3`eroNV{6L0S3A`ZiX1hggH`EjFvu1I!G9AB-
zTYc2~9YU@x#>YoQ(I(0IcR76bNuDgF!}`73gJH$XSBdjqxg`ScJ|sDS2`b2j^=*Fs
z3_v`1{9=~@SP_i)lAG&FqN-3cTbtUTzr->0%<;1#K_30a<}Ji?<;+zGLu#_}D%4`1
zKML>dq55X1riock9fk;nu~QaI^_a*%B3ocED}98+h{-Cy{=WP1e9O=V)3n_?4#7~j
z-BdT}as+W!k{C1#XBGS~|0&JKhnC*ZaE<{-{Q+s-s}+{kkABwtqR<SLjWOA__<Wsd
z`c|y}WqL>${wLL2*W#T*-^)fb;w-hHr0wB9YeFv$=u*F*pcJ~I+&o&aN!^3(j0qOh
zOGSP)m^-1veuoI#K=kt;F+fx9l>O~#_t@T}cA^Qg9jAotAHLme|I$gRYF*V{Z}gAd
zXM#V7(o<sR91)^wHA3aTsn8b2ftu#D`o4(NAk8L@NG`j<gr7LkW2CRvlWK3bzzWs6
zKe-;eaWWf9!dv-7=$W=Do+X;U1C#yz9)mhxxwE_ebWHB)wou9ke$wqwaJ`MZvN73f
z8qB^~=7|O6)srTx=w2d5w9pS14^HRDkutB(dX(t)D7}Dv4%Tq~)(KT@J3Y?5;nTv4
zU+~qXdQ9glutZxB>CjUDY>R~f4Tg63OdOL8iMiwFfPNoGHl*eJw-$~*SX=T^F}Hrs
zHQ%mvgse1btR5f#^PVudLO?WB>)$6VK&Ec3H6GCodD@8*Y_~H>w>@u8__NH<Nb@<C
z`^OgvLX|D?J2r0;x?bNN2AFEvxrcRYd12y`JMh~KSkZioxoJ0Ds#tatnvA`By2a4q
zH&$D&6kplEke`7EITI8WMdUZp>VpN$jMLQ?X#_(^;td;Hdb-Iu=%gjWmDNPc#yW6`
zS#lF}TK^x?(@f_4$L36fBR-e<ozzCMmNuz<DPp^Q^KknJnUp7gR}Ub2LOBU6kPj)F
zjHxQ+^>&LH$WnHMP#gbvp~m$0ru5+!(JSvy85pxL-4OYNV)jp)laO53hcC8AUB+RK
z4LRji8#C$;Kai$B+kNHqEZ@DkA>xas>#mJ!>OOYALefsRAa=Kn7}R9a9zr^N{{;|W
z2SaXgC$sNEz4ga+4a76IoR1fTppUT%Nx-&!51k9_O(+o%-N92~aqiqw-G^i;-IED1
zX?<7caOC*iSOZIgz#dD29h%XOwUBlb9@_lGKLjJI({{YBzW0!>VqTaWuWsy5AGemV
z`;x?cjGr`E)WWilt#V&ea6pAAk(CDP8bbuc+Bv<Te^=LA$HdM&sAs%ApLeVuF(~m-
z(ZVyy2G`;ihmcw_a(xdiIvH;C4D208SGXotLA!CI?XZlLGVnxg)EbXE>WHRRV^mQ^
zkIl~Q_siz+eW9+o<EI!ER`-7ibw#dL1tFrhZ3d=WvWXN_qV`z8-pVqB>y`J@_*$Kg
ziUlM5crregACLbhzCs8nq_%Sl0WauFZ~>FljR%Ed5S^B+6Zz}`Q@qUrxyu=@*Exo#
z1DnZ{RYzHX{vD}lBbZ0L(c#O@>Us@64<vcKp<XrEdsF^0);RdtLFK^R%pPU!jPNyJ
z)}et+3M%rF=OF60Yi~nVa>JkVyRDS${}f<^rq?P#H-^(`FuaWm@dq5xNPa#`k5w6&
zZ~0ac$gN|Iv!g^XiKoreqWno5I2o3mX<HlG1FA$w1-B#5Lo~Zc8HkGk4LlyBn`v{K
z@pXc%4?L4^_PmqJzU%yYr4f1qXJ+5xw0i#esO5%@AHg7hMG=>9OZB`V0jQp@X5$_b
zwwD(UiQa3p-`r{$oAwep^lR8M9|HAMggjI^z+<^U1Lkktf+ohaGSHNBJhauwAS}B^
zg0fL<#B97-sDmU&#gQi^zg$-=R$28@=roTVWD8&9SJlg<GGapPsVNfZ|ATm<es!`}
zd`aYw5x5oBLH#GJ^91#RekIn~yIAkj1dGJS7R<FSS?CWEKD0AOuEaEiJ{d|qHBgdO
zf2}PbAclV7zM^sX^+`VXij-Wc2+9X#e6Oo#sCQ#4$_h1g077eWAvK1DJA^Cs>R0dv
zQ2!#k^sM~g3vr30dRm7q76-2?$wuF&#D_0<DON3cTijs@Y7ly~F{%O$E$=q8NxsE1
znDNK~f@e^2eB+kj8Cw?+O=;tha>*g9)N?O8JkvF=%r5111VYGL8axQHodF~1-yWiu
zO|Fg#3#DLsc@>avj4Awb&&nVB#T00J-O!Po;8T7GlduZ|=c^`BvZ>kFOf<HY*#1@a
z8|fzE8qlLx2526Jtp~M2>VM#~+GI%AlCCeL(Eb&IcZdDVzE{O%-AkzI?7&|etvD`x
z6X5mok{4f+F-;^m*~}V`67JU`&l|}mUgKLEL`Q2M#DnYEkK<R5h8Qw74pef$8#o-n
z{z_<8Rz=(Eyy9Iz{5z%gxNtiWNA#HLi=mbdqs8=&Ex=9ZaTr17AidBVO24Atmy13S
zmVSl-sz6J{+!cIZ!heRuE^{pHvhhQsJY&CCvkGlB>}l1$RqOE4a{?Kg14nBkvWLa>
z3lZ%Xt^2$m6YJ>3*38*dUX>^>t@bY*gR>FXU1!LG)x@v&u)h%>T3$O#fLy3pPku)D
z3f0#f_sYL3(};gSMBIFLcK&ac@{*LfxuHr*`u}S0kV4NsB9qj@?~r^-8H{}&wcIOt
z7c27dT*W8sKZ>X1v}lbAQHjgI{tZ-EBI-^{wQMe$PQzf5eZl}pl##MPN%9g`3_n-V
zhgH=A6ZccRc<lO9LT^tLKAP`EFN7iOBrPxKE<~b}kzbYMFdTYNSB^f1#mOWxjgVaM
zyp~Vc0sbA6Z+9aft~o$AS&%&SEXw@M*heS!F3hUpFn8PgJ9w}4<uFH$N|G2*A1Rrb
zup`dPp=b=SpeLs>#nIA+QYn&?e$5h2{ciy4){Q;xVG~+*{>FTdpp-G{ec9jKck3x6
zv>*H4lZKd%sZfil#y&uUZnQyw6AA$ZYm|2k=@$zJ$w$y3ZDwdfk+MQj#G-zgK9p?S
z0u{(en@jPwxTfltdtUE5It(L5CO8&+v@CR>`(gZnlnch0*9SAO16vvX<x5}*F4FS-
zU1m_$vYBCv$p4^dVVBxK^TnqF6LB<YU~lwQ%zk!8Z`4edbHon#mjRTvPe9>8M4Q%5
zsbxmq$uUDTHwrtafjgd*1W$g<nLoa*Y%WO<f|#k6i|XND-&V=0NTAQ-IE)`SvF>=I
zQ5rg^Td$7xFN{x+GX7~8JuZfoor&-48AVLiiV98HVqBQGa|*Lo#vlj>-SsTWycgoG
zjnPcqmO#MyFrCIv6Ov5QSpF4F_Jr!|lNuGlch}M2E7k7?#@Ki;6{lgS0_x*Bljh!Q
zuRfnBcn{<#V4wsSV}n8Rhhz!fbHXZm=??s%d-hV(I{ywITJL}bdSQ8`C6^xIs!;Hu
zt;sdg*weI4K?QWaA^QTC!s?UoO>mq9P0Mpge>ruxxl%44)wT=%j%(>M!8W*)W0_a|
z#RESEgtQQc+os6VDQD3Ln!4|Tlb?Xd0o<7scs(E}%8wc7%o-j)+GJlA+!pDy?QKKg
z;O?GZg0n!CpWCsj5X=cN8x(b1`6kiDYhd}Aw$r@)Ml{D`iO(z{p%tdgf=o_48IKX)
z$!L#ZhuUl_d56d<il5tY#94xGe4n$r`#&Ak;c2Q)-lUXTDUTaj7NKX1U4G5Ie6Dua
zUnZKt(xE@9@`99^#Bu2R_)OL&c3=;-dQ={d_)1oAU&bFD^^t_sV0P|ltHz4PN(9^|
zr05Ig4&OS_W5Fl1X30y&&x#79k$Z6<zAp=+2$btFal$u9KZI>3&q+r5o-H~u8=H(j
zgboq%+v(+pKo8vCvq-&k(dvDb8f?qpM8NsfTE*`IIz+iCiK@M76(dAR7^i)<qV5JR
zoZefwmh$X*rq#^;7``oY(9_>KF;g{Z7Cue~4{4C;K!pgrO+6&Sx-u&vG!*yBSF<7s
z$VX-x2?3m^-U>x&c@TpA^F#G61i8wfA^*0@z^X9c{vZ99>-lVNa^tQe1;C}oRO%(|
zaO8+!Agi~M8jHUEnd*<B82Z`C`KBkS^?sf12NU7V&xwN45LPqCrilLJRgKMiOUI7S
za7Vb8Tb;|FxKtPF7K@QDejZSQ{ux?xL|UEcn6TH+Ne~FJ6b<Cs2YA@qRFDmfg4-ap
z3~$!|CcsCfG2UU>QXQ%P&cf0L!Bv7vZEv*6u;kFj-y&!u3nB2^zb_O42vc1jj;TSi
zZw+eb_9!0PR#PszovQhxO+{CZK79GJ;Uq3nFS7G4N=%9WbBPVMr$iF9!t77Lvbx~Y
zA-1U&Bd<k(eCk>4^>{=mln>p-qyIRYfp2{|R)6blOPb{W1RYMN{fZvBsy^;alvdLn
z!;mYQbNW`LJAp~>YJ({r-*3*-DaF2Gq2AmJ!TMb;8UV)#N9qu$e0)%tIx2mb<=ggd
zD=8q-BZ{wr=ELD+Fav8#XT!QGVJCxrL>JL~g^_I!pTPS}xj)Bs(UN>uiIK-VAS(RO
z5cu7tR>(Sg%$E)Y3+n#%aGp}EkC;v-kt6*4Y;vXe$9WHzXz?kwJ?>+unqKa^OX6?8
z5=H#i3*C_s?eUaQ6YuIj@fhUgQANo3#?G++#`jQaj5R$YvXlNJotLm#B|gA<)Xwb4
z_LPWyGxDN_4!z>|s!M{fO4?aU+!$8pD#NaPJ;Il6;bCAdSxV&xOw}o^a=bS6P3VNR
zx*Z}5KE_WdnsMzi(|$3|n0|bB_LFw*DH?2=ya^vq<_jJ6-F#v-`{wrYm&Q92kAXcu
z3jWhrVfF#`M@LIJyvRTp(#GV6%lhFBkP)@EDg}6CVsGHsn<vyZ5n8<+3i#SPKP$1X
z>P8v!Hn%jqxn3%qx8D^K$nv|Gc|yhY@aQgO@9fllADw|Bd&*Qk2?jZ->|)_@%f1cb
zFDx-`dNX|^H5WC+=0lC4b^RT325NG!mg;11#X9&RPvEJ(ju)D}D>x)V)Zn-Q=2ts+
zmiVaa-bu|$$1pSI=RzD+fpr2O$JZ&)N1G0cUKNXW*%z0@=wc#w+>3AHBN~Td*{747
zl#_<Uo6S?F#2zbg!MXXlk#G4h)_@>oVjCE<+&ZeNzEO&08XK7)f;A4bB*pO+!tbPR
z3uSU&#e<z`%0%_+Xy9=N($3c-E5WW6UdR<<4Y^fBhsRcgwt%|!k9P%qEZ$3)Wg7qB
z(=$uuc-<J1r;qVs*p{RDA2ggncai@%?yO=ojk9As#>N;~EPlso)%J&dy-gefqgsJ&
z_WHtO{uEE+)_YF4(H8n2E?4{6i(%M`dSMSj)NyklFf&;R19OfHoKGn(N*_c`w&k}B
zwhq)wy)0JvS(Q6FjTrd0KYFD22s(PNf5i)v6!s?Lb0~+Vy`0Uy{^{kkOa1_v$i}P9
z$#&1!N9(5yd|i?JXtpC5GVRq~iAbTo<QM<#p*h%GOBZ*~+p9m<a}*DF7_?37^B(p%
z!I$9|gFI>=%qZm+(eLi^V&CX$F^T3UC^alCG>5_0b132tJhm0yZCA579o?`xrH8#}
zEP)<&A3<*JFP1V?HDi7~>&d`;kH1S(70LBn^$wc3XZ<oR2eV?-y<v8`ndx}w(aRB@
z-D20}G8&-U|MFu-*8Qon^s%!7^g-pYTxc8=wZ;?ebPPmB9+Gv3`!PS5vjxf7hC1=Q
zL4D(dA~u35=j5~dvozEVuUu1Nxh!vA(g3C9s&Vxj!^qWDrGK!ZOojR(Ot{RsI$(p-
z_cjb$6-+sEI;z5k#tlLxhgVi8*2-<%bWJLNt#FDW^JoXyYpD`#Gq;8V67cnB{pH;D
z#v9NZ?MZT12|^{ZX4A|TOeZ>QXaATU6<n#7_eTj$Bz`(rDSj+t*7)k?r2H{$`Q+1+
z?T(?xCDQsJR=#5RpZI(Fc*YA4l>A9%8-}FDRn)P*4mbuehCb@k`;!xM#Nan}Cjhw=
z#XQgrnFOgfehDmkFiY%#+Uk7VVnlu<GpiUocRfFP#3;H@iW85+9uC#Rh*BMo4bPf?
z$n@Wyl8cWfpWICiXL0F$rXh12l4$<r_~hD(FiDGp_)>>1*{2O7hu*>G?SogYc6ux2
zrc+rXaUg!83o%l(&d)z#uj*7`U#K-b5RAmf#5BON6mXe~;bD(K*yD11N*RRJ?&Ck|
z3bN`NNYGX`PD|>e6}abUd%G1S=I?Pi1~8~Q8Dhd;F@>@@zo~GazVhywf6mwQz%&C1
zuK&;~yK%9y<!a{<Y||eqnVNIa$CpXY_|!U`Gh>6&pQ!qnfdwG9PTKDK%vu%N$yomV
z+U3>oVXo$4XGy{l;lso7X-x*YG5}b#X#%8^`d?)H>znR13cbCv@(rTjVvrw_zjvk`
z|5{4d)>gGVGS9+fAE!xQH1#gKQ-pl7Wz|NmhdlOZH*~+^+}0V+a#>VPQo+w8fc9Hn
zTU{wq7doh#c3hTu_38|xUJ8nl98TSwyi<`qDFiPRol)pyO56PtG@y0xe%VUD6O1{Z
z$I`s3>Rda^hildWR-T8!^TBFCUsVV)SOYCe#dEnUxBluq^BUti<^9O@{mw3nXWp<h
z{wvi6foBr^GnJMM+!{IaBMoWq#KcqxIPu(-0KSz?_m&GW|4jg<@usNys<@L35$*0x
zO5OjmZJJwf_{eI~$wCfm^m(S*>E@u;J`Tsxa)<x{?Mh8?6`XVJ+M_fMMLN5Cu@e(^
zC!T~FDA%@w6tpVbS8~s5B%MY=Y-&wf{%CF-@BFggoUb=mhhwmoLcSh5PMA@JD|6cB
z`Zb~YfH1LNu^mhuvkXv=B_nRA^=gCX0}a3N6KPDvc{_N?*~59XvEv0vKQ88vl>~-t
zFI``Uxy7@S=kt;?qHJz$VESB5qv?7#Vvb(s^Ua?WemUJ(I9@8^M^VQtQTepbn*C=M
zao=_9L)mk_!KU-BQpcO|tj06}eG0qy^^hN1^mQX4Lfe9iA7QVg9pHOJ_0uNgu`<9!
zduv6=B7clupFU3-yHj7CT5xE8!yGI04&t#;t+5ZdV$Zd)rEb2uKgS8Qbpq<DmFYY$
z_GbpDB5LPaGDV<t(i=~{w4eA6ZnC$+s+`FXr=yXjK-3MzF<$bRPPfWBX1;6kwJ_0@
zr{0(_=G9*Z+SEeJW4fJ<HtPGcBm<?YE>qTi#B5ITD;_#V)uci3R$6Wfp@IIUn1%e*
z$Npvq@1wV3cxltf#_GdL?U?0EN8?vA;l}rC#|_RY_VKCil(*=!IIlEgk*AO2hTR=E
zR*cN%%eh-W&vgeb+}ZfNWR?$yu5>VCrvMnNkvFR_=i{=d^$r@FH74SSQ5dk4t#$1g
zD34JL0h2jn5>rL?20<r_ksdYb_b(gs<{aG_e*fHg{4AySuB1Np>E)<~40;kShzliX
z_w{^rw6PaTX<5NfX;Rr$bPjEq>KufVrthBU#K<s44uX%MANx^Oi&EB@{aO#ql<M7{
zz;j`lQ@F)nALYLwcweuy__XK0qncU&H+pu$J)gigGxe^qvKL=Pykw@i_r4OVzAu9^
zb4zaiEJTyDidH#oIF@IHTAkG5O{!`(nf+HKhFDHIeH#XBzpj8S2T{j3;pl?xc|oUt
zW}3>(M;~TDKW7po0-u`>*%2U*Df~OKk9glI<qF-Ce>*1Twbplc^KZ_B@_e^LCG@LE
z`OP=UuVWnogv{SqVR{k<{+iC{>Sb<BmPzWb{EbDS7^DQ75JAo)&y8PSihm%Vu93N%
zl}@r6@;VL(he1D<_Za)yk9(w*-|w4tN5)^&*3LRD@YJx>E|!9Fs@f))ODntWw%49x
zy2tVhzvIf4UbbAUD&Jl7x4$HeUYa-G`Sl*u8mC9@=x7UTT#0xG^%+J~V`N$+EH<Yr
z%$E-M7<ZouxiN~aB{FKT_#;=6yuHzL1wvx0WL;@_Z#|H;wUm!go8nK5ze>69TI$Bh
zey-3HnqQNl3M>HfDa5m<X+BJDC`<>u<dcyY!4lh8GQYX;SPw1G-d7?Z2wcKk)Xs6W
zaG&v+&iGQaM>`-v!el5qMXI%g!B<xHEB7~``#Nzx3<?w5o_8ML`NiN&t}Fv;^1BIV
zv+CtDsFv9&_)wZ7=&I>ty>Dx2c2*zNCFFlBwA}?m|2Lg0631g&-eUY{!(6r)tTvuv
zPorFh-X(J?6eL2P%jr3{M99-T2#9IgXvL>&5ZO@q3thiTePi$`>wE_J1^Wu`x@6ew
zH&xXP^7msc%qA%hN}7m6tqE}*xUCCSbg08ztK_}*rmQ)i3*KAuEZFZ}-{yuAUEMkX
zFNOFYb2flV#*3Z@a|GbPAZ~olOh3uTzDyswT{XngbZAsp(^?JZ(BY$qq^I6x-BP#+
z)ah`!q(yH$B8AmvNfAN-88gD-%W9o|-*okRo^<Y)?kqMO$&=H|4jpXi7CHfWl9()z
zH?M>-vt2@MULRB+cI*EdTyUn`FKXO_?B_<IA=|~vaYx$%K{+4cTEd7S?|%}UZ;1(f
z1CCggR#}9b?OGlV;U0KDgI$ehX9oLuMyrz{_MH4zX@PNFSgQu~dOSZ@D_wf${1}`C
z0Y}F5FGjotZEin8Kzm?L?b0OACl4LB9_)_SkqFnpFJ||0CadjiXYF|O=Egw#a8keL
z;|u4ozcWuzagv)~e~fr2A|h{xrbWbfWC-{C0f``|;ImA~s!6MX_}jh8tOH*2#rw-s
zYXn`AoOoz5T)S0!AHdw+x9FkVcOF#SpuN|luM91E(6rLbaz&rzIpDk1l}myfgQXw7
z%O+C7*|Y0RNrPM&)?w^qZ{{ZpHXN|$Xg=o3XM-}0i<R#AYUSAdCgU2Z<DPOzxqgG&
zPWLj6*6rB9h`@3%BjqN7VsiqAt=>L%X5PA;eAe15U}@nAO^*t}wGf^LfFk)AAW)B=
z3ZO&Up2uKRwgzP!k37@k`Zv@v1d$-;PO7GH3EVXx%{U{$(}m;<AvXw76H^%%kXZA3
zu-eJf+2q9;Glo5|wDF#IVEkcm3}E!d^41W5R8nQ}?6RJ63di4*XCKlDPO<wm#;wlj
zER1|d24@_PKOfCT@uTi9Q+|I>>mEa*9oH(km30cg|3mH}jW+W0@e^gOdhDxi9`i)8
zQzHlC{<jaY=!=E&I<u}QR$(ikzG>hLSoWXSvqH;XZV(w^jSjFlon3dTXF!;C9pB3Z
zkJ@tn-_Cy`TICgSJP^kevz;Uz{7x+ef+hIOpyh$EUbWHjZ5A`6bu=zU-r&`{r3iU<
z683nTp16f&!H;M(B^MPW<pM$q0*#D^PxM0jle43Q1UyYYx$CO{iYi_NCN$E%Ys^a{
z)q9tdCQH?_U-u^c++qqZAx_)J=S$-#@bzdM{gU@y=|X=#ozHCvp-we|19oEPE2OrI
zaJo<3M4ZXNt)4}4bU429l6mPH4Xo{m7CFrb1QOcKVHmtiKYz-_A0Lyijv*eomQ1?b
zX{=cmO5n&&E?$oVo$?PgIc|E~``RYkO-ofoj#~yx;n!iinE44Kb@(;Wf_)xk445E2
zV7Q--h8v@5=NuYW_sZcd8umrq@2CQCV{!0($>-f&30W3J)>Dn{l`9+Nd>+aI9th$G
z-9#LTc1Y_+8pPjQ2SY&f6Y^^Wn@n&nW_;4r3TQltTOgKK0m!y-56KW2MH{O`6^Mgd
zk~z6$IgHs+`8->3+MH%vi#r9@=1XYIxv1@;H=tz@&~<u=qbHyYBvUEu!d62pfZ<GJ
zV3@sEd7ps$(*~P<<(Mn800`-I0ypqE$p?&o-me&k5m49r7tv#r$c6t3dBHdEejtvs
z4o|R9D-`@{<Y9~Q6TzJ*s#b5ti>*w@7RSF|&t0bErYtH;pegU|>lQD>0blJ^*I`)?
zx2{&@cA(pt`_}Vf#%gI)O$gcDxP+PyWB#X_rB*O3Hil$F)ivBcrq@&^CQTjT;1UJ(
zWi8>wrD}_MP3(iUpu1s-&Se^SR4Y0ltT+Hwyhpm2pib<6@c845)1}e#ppiY;8%vFS
zxL-BK9(zQJ*^6T}@Li4MX(5E*iix}c{<slmfQs89Zo-o8g!}^R_kyy)7`;P88Ou=H
zNeMDSJ#AVg2>6Zc3d^G^paq}pkvznUg-bA5M!QKz+NrO8HhSr%cJ`Mi7JUf|k^lZ|
zR4|njFA4|$-^M^1=reK!rn*#pX<Ji21+Mz*o5uaS%VBm&YOhSocRMe9=!=4X)qgz9
zcRb&@?f5i;^RX=!4f#T5n=ywq%N`s!-r0j!K;SSTaT?EY-ua=Ezi5w5nx|9qrP&%Z
zmf_8AY@<RxJ2e;WCVc2`C$BSvtw1-yvM=ws>5rd9djXNkbXwM9$!{>#z<$T^S0B^e
zDcb&XU8rIC4`}^sh>V*Ry1bT+jXyCuv9r5r-t38N2NZBdx%D02Yr4O#;uA&U78pPP
zjQjeGe4ovlj91pGM~o63Fcx-Rt``UPOj&%!_1TXFE?Jj*tp&2{oirN0<0z7s_mnJx
z5=)jUyqBRCS=Cz`c|v=*SSwVansgoVwq~UXPRL4<ZO!;iBzM*ULKmHRSb004XQTxB
z_Np*fc1^HGh66_=Vx`N#p?*WtgbDjvtaYFFmjNLjGVvhOG8eNe?Wm|^@Mot%e$l?k
zZrJ}PcMErARMNdy00Dv<ha+~N2EOXk;0_EvRhdA7-fY4aG`fE{s$0xe=gh|>OR_ko
z(p;CJfq_Lk^0<q+ta0VT_A}}O5prPyr^UIgp==*ap<Igbc%S!}`;69}&;T(a+WzC5
z?Zz-WxDk7o(t|2tLrVywh>%!vf7x1VAMp5Rk%LmMC~)I}j7PT|KJ5%rRT48B*9f%`
z!$r>?ya%3Pe0VFc?(4jIvv}E}?)zp7L+nb#K%y{Wyt*ZY-IK3h4mnLbx{Hit(TDl}
zJzGuuI8eaJ9_hh)s_qT8>!@EmOM^EpS5rL*+w<P<IOh=?RYYldoE%6$T_nQyDSCoc
z2qvNvYCao-<83LRovxHpIPn$~191I6<?puRXjKgbbcpfyNFx`dg`C}#OxPc^vU_g+
zO{c7`tu4fRa4OW=O^h%#(50|>JwWfq6-ReREgJ>l1E+YLeDCW5HWChPwri=Z&2|e(
zmQfVlYvopljYo3++0Q3(=f(Gg67n#B#J&IPp0`VO_5P?ieS_$&Y>&k^W{VnWTH3{d
zK*7wf>dorQK@3XvguIU8H5hVu=)&02fPW)UF#B?7L1etQ0{9#=fXkTP5N-5h$ok~^
zkG-j^KvMa{W6HVqKYLK}D=9mxKO&M>bJnLCQNO|A%Cil2kf4f=v9%<Tfjgz49LDsv
zTiLd$r9<<xFYWxsFl_*6cbNv%e#Ez<*<CcH)xayy<kqXla%~+pgXT7+4j7?u@ytyb
z@y6f4tj)n?+BAI73veOye+F!_lvh_(2?!{%WoDA$Zi!>o!hw8?eCc|!Hmp>?`q2*s
zNI5)b9Xp@3b%)u$ifR(+%9q{oS_1)@7=0&ky`2w64oM#&R1fCba#F)&%q2NTl1QAk
ztfxbyk=X8(OZ_Xn2DP|s1(BZx&#(W{0x1!$M=_KBWpZn?u5%_%#Y&<3Vw0D>Vi=iC
zXz-^F)`7_%s%bUkY%+EBS0@Vg!9<UHtnN8zR@JN){!Oo~E?vdG5B^Y7RaNuYK&<E^
zVtFz)HdaicriS9IwnYEMiP%(ki^8_;N3iFq*Naqxcb3vUeV!N9)fLU5zWTZh*Rju;
ze|{mJbt`+G7t`s9lf+Q*d?_d})Qq^BlydE%<c8Df9miOORo%&t>LG@`A}V>p5%&9v
zWRp?CcK7aAf1A|b=cV`*8p6t=xG>AB{BFzIo>hBam(Yff*uwh!REy!C0WnAWT9f`(
zY;cI&oepZbrhu-lUxvl2xoSUIPU%}=uNgw<T+)NTF-TibfMcJfQ_>`atFs_1wALXM
zSO|JoC-ew*?$-s<72QdHbOe3b>T^opvd8POZo(}I*Z&KC#ISQWs>HV12c<#=dWQr)
zG98J-y0zH0<Sj*PN;^MW1~u+9f~a=Ud+&S+J>*f-jKx}tp|1CSo`aoNJKN{ITyK=H
zN$OHIhm2NP6%XxfoV5hM@wzGH<^W!&r}J<TP_5LJFh#|mbp_T;{RW|O3h%MO4B5;o
ze9^X1O2v_uolpkjx=VnTKn)IxFQI}iE;wrO$rfjIV>R?x_Cnz&tuVcy(<w&CUNq{-
z7I$lT#yRMiC)OGL-VBOVeQ~S-ZE&VSbsr)Tvm6E7&vCZwNc=yZhXZ<6Uy*a28f5e5
zV2AlSPKV92KFkxp>$5axbrg&*)0*$ay9apZFMv8INsWZ!Rgi`h_hZ}Et=Wguq}KgJ
zzfg$>CAbXBLV%uYv#MbIdN=Fm>Aa@_#5r!LRaB)yemU{<XBwz%oWgG=Kowx^+SdAJ
z4m%Fpj6=$VFRv?#jFcbAP0>`YuvB+!K@Yz>LZw~DyHUv23%EJ3U@{#m)YfnOZ{TM5
zR+5){Xm~qE;>dX@LVlb*K&YdI$kct!71zgwnA7R)$7`8VN=^5_S-5V*uvj+7J*jj@
zG<zy(j?)=i8cU&2oo!>!yV=*y8pD}qH_ka4z-p7YPwZYf<H3<C1ZCztv@bc_UTzmm
z`9`Kd891JhI7)Td8x<=dBadu%L!3;cMepv#xHS}5Zs1#W)-w5bbF+j2U_Zg3aUUj|
z10_99yymC?LZr!VuvV(yvh~4X?4Pkw-9fLPE8J(Za&P_nJ_8<sNf-03!^>()6lucC
z$}@-x8B&?Cx;Za|+p|?z#;sUSqx<^Q`#L%M7{dC(%9=+9;4*k?nQax^JXW$MLIusH
z5`W_F>-5@eSCznt0@<96_P?lvJ!S%%1~qym!LeQEuo7&wGgZ~>Z&PZBCwxp5V-*L~
z7cCZjiKKq@4xC33@-U8Nd|x=}20_vEdb8<l7^HwasyEK~Z^i^1*0vSqGx1(W&B*V3
zLW@DU0PKq1CW?1K&d5#feSrdJ7Pl8?n|pO|#IFMVf&4qJaXgwGx6&aL(ep2w1m~24
zKkczJ0*bwaE-`}rgDx+<d^kJ%QQKOl<>1l2BfU+XQ}ZB~>o}%oza-2$N#a;{n(QwS
znA){i=`#H~rxnX(MlE1G4V0Q#$cQePkehBxR`b}<<P+win2x5bN(eX6CHQJbW4K%V
zoQ7w^Nd%o&XY$C4)bbVNCCp$bc5re4Sh?Z3zXdUL|Fh|Qh^p^h%`R0zxo1lo$~ZWq
zrxq}jIbx-rH9Y4H|EmRX2`q(DpoVdgRhOz;v+}QT*Q#$b*KQB^&BE&TXuj5-%yIb+
zj$9eG^(ceVsU=Xn<Nh|!G@-xPS-q*`o@3?t9rRJnoP&WcAUX=3mLK4cqNdvRB6!;B
zp&k{sLEbw%=JgZ5(*J(VmyNVnH%Do9jPq-0r$b}QIYR;vXqII7#}UUW3ZAk1mYNsl
z?Oygxn<=Ze5*k{N_$~eDJt2~@EThnxX|9XffwD&W^19Wi_g$;M9NR!$Le%Xu6a1s_
zwaS@h0E^h8Qt_3mV6>7R#g4^=faYK$^!wQFeWzewZL71{Cf!}Xn>n}f!6=~?<Z9Wu
zKEHDgur>N%`Dpp3aWrowG>j#=D?Zq}f4RCD-oi}-FY`hH3kOfs%UlJ1ld$+LlNn_$
z3GaS^wvT&0i9=P^DWMjwBld=8RQyno&)GK3Ef=*w5l;_yJ?ZPx18mjB34WlSJNWt%
z%TFZ+EWDH{_Ctiin-Ck>pXWyji}Q}i`swze@f=ohMMqb|TM0c=vrNHYxZ8lxk|t*H
z0*>SmY+7-=kgG09kl^MVaU(IQfZHisdKt5mbcs^%&y#fg85`UQA6|wZcQYHPe-&<9
zxwp%b`W`Eg`bxI*U5_4Y0}y1C*3pbZB~`N=^U&9b3B&<E*EMpOznZntme2MP3F?n7
z_xYG)$?%CjV##(`Hu{MrYLk`VCq(|Y{$}`Hj*oBHaF?GFz>FLk56UlDyw(%CRyxk3
zbE}u*UTHB9&bX%k^Vvj+Gec3H=FWai%1JKFVyTx;G05}n)wMXV|5pe}1uz>a2fVwV
zY<=8LC0(pMx9F%;@uW6?L#Dlj`&dlMP{L`*Kj}9WSy$YL$G^0pyv9W11gd!n(uEt=
zrLv4PSNz;YrEoxuHQO$y<VPJQKn+|8&r=MeFJu)hjhMQSy8}CiA;~(tV*5C7WROt<
zj}IHMEsQ+=r=6?c`;rEbJ0lL%nLBZqOQ1Wnj~ARX3IZz|vw;158JfJ<c88&?O*30S
zqkCECCD75@hLa#D<f=|RK<%xsW{n_Y4&9bs+ayUY(8gfs>7Y0)&-3eIDvy*;Q$YH1
zm$dgqMGZUU&bhkDg<0QVjO4E_@CoJbElCn5jo)s_Z$hiEZr(;Qn!k1n25crTSr&N8
zz_kU}BN&wuxo;BZ%RhaMu|%kI=YDzei@Zw`-_P}HHFIT{>nZp<-y@%;y{Vt2Q-O9^
zU`^;zj^}D5A85zfxuv3TAGY){Q`poDhJ^U9TpmHOH+{OyZ-szT2dsnxx5#uQ24&U~
zyl9BL8D#1{9H4e1%53_VMBV~MkI=ES77dCm$v6i%jBlnzR&bpqje?ycOr3I;&C#hh
zUKTBYmfR3?YD`?Up2I<g3TD9w%TZ=J<5VLyP%68s!5q0)&NB&uXZdVi4mSZ>e@9ye
zo|Aj!f#heOx~%^0&$v=HZhwo;!R%YfX&Jf>R#QXlZ*=1+EpFBza|s2&+&A6hA_bfN
z)JD_E-+LGXWD~|sfO4Wg33?^!w&(JM!08;LiR2M3+9Dssu;`V6zYnI~0HlnkZET|t
z%p_@|_Oziz@1@OhlR(6!u7QC!=5QI7%5$P2*iB|TU?jgY{KAET6BG6#BBlC$QqTF6
z^<G@L-#j4ml?p8N&1_-UK-g(I+#ze<j1$#{<jfN=`fR+>SY~bYE<y%<q9!)ed1O8h
zXClX*<zzTQnm3?MNt6gWaDc{K{Z`IR&*Y?7TUjlVnLg=Boa#9}mcz5;;1W<oB^-hC
zO@S}2fzjy|iFE*E#xmQdHo>Ek5ik~--Yr3B?b$hAD;3rbip`Y-ab8bF+p+5^V=WZ>
z%mxOztt*dB4bojcWsOcF$uJ2}Ou^4gzfRbmo?MN8$>J-vDadaJGM<j|zJqeVw?59{
zalYRrfE<Mxir#~O&Ji6?z;)K6-$W45;%Bdy6(zG|%r|9D{}NLr`&~&dNnUl|&MCXx
zrwpd9-dEpjV;@~Y4=FH{^CgkT0Qw`ik!I2y=VaR~z7KWTRrjA=^iIU))+lrVT58DJ
zm_L(Vf@Ys62#B7Ae+^9j%@vmSqC%)De~2^RldtZLa_+*fGm_oA5;cmS2K_w&!a>Yu
zdnJ6mzeNg7cfW&*nL?Q3ImN_NYn!hlR%_ooMwKxXBptEK$wp8rC{sacejVl;+I<uH
zp~UcA-DQps@=9WIu*ZI3S>4k#>C#?P0)t%BSr&<!VOGnMaGXaTW83+qmRRI`k(|2A
zX1=K_m3V^Ck9l;k=eXiZAKGx{>}Yb=DwXy=e$)6^PYyavKp}b>!`x`4!pzI4PPc|Z
zXkh$bBJQy`@9YZ8l=hmfvN;%*LA$N=S>*^eHAdJyi<JJY*VWVD8Y4FTpbUGm2O4gp
zc`2#G>%rbDOAD8}*#v0#IK3LO!VfqF#qNY@q}T2jaL*kTT#u8xbqdzfAIlMt`cEHM
zA|Av_Y%c&KEBtHd9SJAa+vq}l%g$HCdwI+<C(uSs-|@t6t^eqn*wV&at=|xTynFzn
zTh!Pg-kG&6UudL9lhgDC;*0A9_LwT!mGTN--MQlqNbE9<*puF-lF=6`Ny1>QJS^~0
zS=||yI~DjpY<+h))&KiHLMRj=WF^^DX10Wom9jZTR#x_QY{^Pi*?V)cXO1m<h3q|#
zdCYU1@q2mqet*9I{I1KTKf11ZzFyDg>weyk$Njh;_kMW$MZp29Zp;Irl7NfvG)D?w
zJ7#kgX{HQq%RA@*zsV_Gzn7-9rk%Is!by2=GfL!*3Kx}+mdL(0wdgJB_-rw7Yaoe_
zcR4X5H1rk?)uP^|`$~EJB3BFMP=o{mMe46yPjFiSM(kuyBqZQ(>2GOHj^-l7T#Bgs
zom*0a;Jqj0^YCG5JpC6RG*-IbpvobuI*tu1VfE*L@4{hA^QBSyNPIvQ`*APm9!bMD
zp5-x?{tf<d?-Xe#0MzYZBlz=9JlNcE$+%wzczz-h<i>kafOw*v!b55(r9WL&GhyD;
z`gI=3!_Lr;-k?QsimQ61ArrRkJ#{lT)UZ5$bXvp7-Qor!8P?=m!mUXLnHzCnKI6M!
z1N9`UX@fe((NNogsq~F0D=$N^6FStky*%C;Yzh43KCc1!w)4^HRpgnTaWJ~k>Zrae
ztvH0ae&ZU5JFFMQ`Bh<6zdgZ)hTSrJu`qb3>)@9(odvBJ62vS4wG*a5jNF@mF6Eb5
zGXVK3MgFXiR8)}q^t;ROrZAu2o!lLAT&deF_Gdy<MM~iAunUa9A3{$$e>N`$z;GhM
zrwd4Pt-*TOul0}L2##U%&gD9}Q|T>dD{ynh1mm$A^oL*S0tOp*0Qe)}3vlV@K6?6!
zk>uVAU<oqq^(#1wF62adw<wor@Izx(SI;LI0p@_x3$HKL6Q%DRM_W?dak=M?3blxH
z;1xfv<N~n3Wa`_6t+m^ZqM;tU@xq;aL{iUEKcq~Jy$b|ClX`BYWUvmg6<Ix;erX6^
ztoM422V%D$!$>F?A+Y$J+h7VF3h=}$Ot_EG_~w^tJ8yU&`^Ah&C+XEX3L@=}&hg!;
zC*LENc0f@4(97j{Qfc1CI*Jc5c4pyGqf(YSu2h<`nf!XHC&}ylsr%wZ7OR(QtikTL
z$5Iu#m1eIz&ZZmsWHh35Dfe{0Jbv)t7jfw7FK-XvJxO{K3Twt*s?1w_={mDgpx##>
zlp{Mk!j54DgRyZF_MlH{)G`{gcGW`_(6#e9kCp1<*Ur<WL1-xB7B-)NpX!Jvq+{9L
zpY)}c<1us<KF|wnZmY}Pb%;faIpbZTyVj>TOkwGwEOasU&ZzzHJjFRgD7(_$4|4iH
zQL%zfU;V!vMI%iYCNtOKZ!rQbxproK|2bc03MgXg?lTPE#Wr9D*B{j@*Fd+yggICt
z>>saIAVI_KS2Q2YlC`%Y$y1`glZo)wmxn@WyAQngq%Uo~O{0aT+LG%RC<S_&X)Zy4
zeZTEK&<A=#!*7hr7{2@Y=MA8Lmi&lUSZ9PV_-QJ!iiDGy*1>Qlel{NkmG|Pp#f{^x
zSQt#5y+s=xEbYtjfRVkNf-BaF$Q-Zejsiy4OsEV<p(+HxQLquY_80%GtqSYb^W~U?
zlkzz6S_gXxTw;Fl`#}C72P|&iqY67cfCVJqu+Vds{ZPR2OLB&v<vY=0CkhKshTdKR
zysI*=Ga`1+CxA2%2cJ%|?eI%mTwzI6#8vY-ZuETK&7U4o!?XEnP5xiB4eV>#-sUnQ
zeGK#N7~|}KlzuC11XCk?PEmB_?q~$<LyYcwCp4P~a}N3}3>$mC<?C|;$;7VreF5sK
z-eIem`Ew)5;PEo4%fQR@_2ry^@uz2ESU|xhy!6oMe(h#T70siv#Ne&?yY2NV*}_<l
z5y^|1Yf$0>@<&*ph*=9h1w0%b#r0RbnK2qC&lD23NcR@E*|tBW(D|SZkC&JZ?}X1C
z`7(2OZoBvV+#M4T3AG(`?nWjzsN5`B*>pxMYN!Lq>co|RbCutu>#Xp}%PYzUIoS3W
z_qQ=RKi|I-KL?-^=n`;#lW-XMd9J_hkj?JHy2;&W>sTqvfEvk>zqKK9@AB%F#Tt39
z;=8p<DGYWcoRJSO`r%VwR{SINZID6b2JQ9zaGasnNU<5%^U#u6JN{3I6je514ybHn
z=QO*5eLXhf&#0N4ttz5f4F-hfH>jM<*2=}_pOnwo8y{Nw^5l#*ov$3Qq~@2l0?w8H
zoW}ESidU3^^Esa|;npv)26UeWxQe#}6fKN@!uz><{g4xx{)sm_(9pt*On?NVTJ*ZI
zM`R0~oc`>_+MvF|0iI2Q(vf+-{9)EZO{hZFnB2m8KZ8$}L+~XfwR%M4l#n^OKG4!M
zq!d3VkY`47!!(uEw&^yFbZH&Btxo-Sj&vg1XLs87x``%qcmxmgVNyVX^Ecp)VT*#J
zG1K<Y8A-_*u*A!lsvNr^p=n>(ZYgAO`>2yVa{#vvTRlI4v6_KzgieEeegd`%u=w=6
z#Z_s?#g+~=@%_{3UPd1~&>F)@V1!KW%}a`UA91U8oxx3`V10EYPf%Al64S12^Lj$a
z#y)w$y|LrQn_7&sI!kV&>28W1K?|cZwQskzk=%M_JH<P_4`hX3&uES>>UQF)g*NDP
zyWwz^7y{5!{pmZ?nTlgHIB~tA71B2&1A?4uq@ltc1Zx9$n%(Cfqp~+cSZfVq&$g_%
z(p$e$&l4H=9(U6?3IkbMFY4{8m^TImF>I^?obQ4FQhY5i_j$#l9@vvQGZtnj?y@=9
z$=%L5{u1At0T=bFyV^wAWxZC?d8RwxVL!<hI{s<~eS|;oqx|<b%#obVX!FtbwT*Sl
z4PUMaP><+qiuv*T7IU@6*S>Kk496p7b3hPE`mT62U_d?w49j`M!w&04zi?;2%8V+F
z$F{>bBd3jB?Bk%KrSRX$(5vjy=qDca6pK_#{^LsQ3&BcnhsAarPuxPWT@jQFQa=a4
zkNo#BK+A?G8B(qb$Z$zRaH6hkKCK0_aHa-s+69?{%|7l#2hk9t+1kR#>g=nBgiBxi
zET8|5QONcBVIx+UeA?Xl)xEn$B6b`n|GgTRkrf=PN<4fQ++Kj6+<^I{QUfh>RNvjG
zBt}JFW@Q;y4Fg%BC3xwwM})DPQSff2q~%Bz4wQTD_E7~6m}Xf$<iUd47ne~ztMoIg
z`APDi{jB-UEhgzMf>vB8$!YlbLJT;JlwSK9Td0L%o<v?RItW;FUqbG|HDPZiv7<VQ
zyiy4mnQ%pHBxjDzESOBt=A{$j@2N{|hRiSAhm}%dh%>)f>BgX_azB9^{O!}(VZG&)
z^?X`2>3@K0($K~9c?Glq)4-U6&bRBInQ>@7&~E{F2=eNHyNJ4ZEv*{2DrsP?ZQf-n
zL1pFASi}f;Zg!S#&m(&u=5@20@i~@m-3nm=1LWtyH_17T-6kDJDqXZ`o~%8(8+gFn
zhQqYhJ?iVAv&7b3KuetFtj5$jx<NX-V80z>O)5Z5DE<Kmz!yz@1;FT;&-p8f>nsj7
zR`!2bAUA+dEXeDVe3x`PTLlz9a=ij{9rM%phmVhURhkyDFES~Un&HxiUL${231|#I
zil3*A-QUu3(sLTnTVWM@UKM)9Pe^$6?#=KT=nyCKg}|?COEUj4;UZo(MMiL9ZR-`N
zkr`TusIRT1I`#{RECx^{;GI)Q)YiZhj>F0Nde_o*dqngeDcLg*P>`49NSrkLd9lOU
zd;e<`9k*=eu{!`$Z|N5^H2dBzkS5MK9rKr7<NuM_CK9nPf5p9a()p9QjXzjN2P2Kl
z+(loDCNANt-I3CtmhT)DP|hyWNabj$ql^Ni`GzX5gm#@4+@{m7l^3V_uza*5P+GBR
z-Mr!bO`1tvY%9&BA`oN0p!jqcAS4L!s;x$p2rgHs_zF}Ba(3T#kTMtEUSmmbo*O0Y
zqqF6Ra@(%4nV=?qyvYG~E`*Mo2ImR%<#JDG1O6@GRYrgY<evqdN+&`BTaTcBbdscw
zyC`qEQs2pO98a66Zdz3N@CWS8)z;gzmX1m?aQu0eT3RmLVml*i?1&mz=;ODdJX;4N
zcM7poNb-kdKxqbvkJ}i07_8B3-r4qQplR8td6YoVBIqrlcJ(CfS%jKo_i41q;vZ+!
zCGoH(EtyxUq8iiDdT6ZSBd?ZfH~R3F)XN*eHFD7?R*Vx`{wf#r3DbMkQzLy~glz`Q
zu8#M)LGpJ*8%iZ_2~wUyRs*B-m=0kIlzX`8m%!)b_$Tr9!VVPhMvVnPyQZHRn37$M
zr*8QQ$FCBb@v(zgfcrUgp<Os8nkYdYrw7d;HhGj5e5Y_LU4Hq|GuL9L_JVfz3uQ=^
zZ))w0!xl;ZU!&{lF^r{AnAu^Og`)wdrl7*QD=+6Kk2B7Rcm8a`GGfOSFkLLGOw*Y&
zYBka)ET#^zPF~U!$b`1TKi|IaAv0%D{Qd;Bm%RWxc@N*e6u0v;g|)~!tC(b<w0|7c
z1dWeiTj5tg{n>^KE31xK8W_d*^R~jyee87Vo~j$?N1qd70TEH8I^I$?Rr>ZTKrq0L
zN4;!59JP`Ub63>cu}+|tupoUqcQq$)8TR~ktwm3Ma>nF1o)wF%TPsG%gy4a!Rm=?h
zEtt^9Y;UJ*WMK?)5BnPx2ko6$OKD_&V;C=VxbqOROS6i+g<`cgMyIWF`nc_{AU~he
z?33HR?@!?L%tQ-WnUd3*UMb~2?<r#frmkneMhGtZM%uNx-jceiOCi<|=pBB@eq7@|
zZu~Ypr>lOsbnPqkN2+K6Q5~Z5Yr6kzQ`&9!w^wc21s!vY+(SHKJb(@I#;;{28k)&^
zL$7OgpG{%;c0%mg;JC;6<0zzNge>M-@l$P}C958w($Lr}ey=!SPW%}mi9;GW-fl27
zQv`n4m92<Ei$ws7$sWUW>E!$B4wHsI^TC_eLO!>&GXIWnT_C-EH3y6U)LsC_EG@OQ
zK7HUlo$$o{HdB7P33kU0tGeCP!}JuVfd5=MKz#$K={BPk=<V?(y|E~Wh~-Z+c>dDj
z2DTWxw3ynar=8$|t*@WCptTH~p%K=Tm&X@k#zT^@<lIqRZEXSPd<ngyddf<;;nvB<
z2O*@ueqLuKvhLUn3o$)`1d*^5Rpa2{3AEkrd_q6rhlOqxdzb8{`8Zw}HLH7I)h-%q
zb<&aA>E0Pyg~QJa)6elmM<@vAUzz9<;S)%Un1r{pN<Z0JaR2HJR@u6lYg*j->Ru3K
zEeyawz9+YRyU8}fX^Bgr$QcvE_A(@MdI9OV?`%smAvlSNRtMVPyb|b=dL@mB2XEh?
z+Om7!i4nn%lxS{gZd+TrE@j=Y-CH8jd%8~NbDAhCvR)};btJ9<{vOp?cbIi^bh8b}
zPWDV%yqmy}kl6V~mx1%q!;i_}4q|pYA3&C|RZq)a%^J9ipBBUfdB3(7iLe+t4UvhV
z(phnS#|NA3S(U4sB*I`WpddE@W!Y;|i(NJ$BgIbwocsHGRVIog^OPEedowrUrLREV
zjBM^1V5fOCVD72Xfz<n6qf~oFWz5;xSt1tBkA+uW7y2N<<MVYQMa&St_v3a&a8-=(
zGt8Q*cg`~Zixks^taX0yaU`gw_fO7I5@Ol_3+N*g-JBipk=Uob52|6sg&Dh-0_2^u
z-+0Qt;XkpS=VebaFy{|WVfs_E7O7EIMNYlB7F#?0o@~nd{)4Lupn0C00T{hC=|vFs
zSn%P*6BC$o=J_#X)?un{#q&v4O8UlC>rw_r9a9;r2(a~Wp=+HdBNy?SQkVy>qp};<
z?H@}sb@p?(Uv64Yojd$;aquMfXMl?=jifar5$rT%f2iv&KEVd;Ckj+=9giNLyTh2y
zeuH;^7jHbTwi5p?Ify<4n3!$Fh3Vgl5tXm9l<;zvQ@=bF;6N0h-U(^RbJRBD`gGnm
z4hG#iJKvw9@jXdhYN6KI)^s{oc6*=7B^8qz`hA8BgJ{V~-N;3wLhmDP-Gb3uR$&px
zJg1Z}{^IX3Ud0RDebrG1{SrKbui;FRs1XU+;J(QG$Ij+#W_1V~%`D)Iz4hr~22=Aq
zymJb<<Xuk)etFN=wAu|eH3RV)vK5YfiOrPoa`wvf+vJ>H;ll>pAmfm}Tn<*O%LV$f
zDT<U$&|#!d8JTAv-&XhHPA468#j|h`@iBFE-wtMqDoJ`iCHeHex;G$u(KdGOV`FdG
zQFZjbVgW?=?SQ-$Lv@Cc3aM{NauqoD-@^<m32hdG)=)x+CHr(IW{CAnKXL8Ztv5b<
z0%sZ6JuoNqH>2L>h_u(G<4}sw1~6-&tOaOLW;1twEr*HO(0~`lqYp#*eX|FrKnNfe
zWsIn7rMGbNozq_wGkE`jeRc^dZzbEy{qz-Xs)%C-rbndp_~O&oQ=e*&I;{G)C)q6k
zTgkQI-iiWbJjvjT=B1xzcLZ;9i3Zk{cfwvt4va%8O}i2f_DIi2q(!0Y_a+2n4yBSz
zW1sqwNi{_l6~6yv;;VO5ylYf+tN`8OVzQAHC3-p2wRf#lZhD$KDrC{0aIm<z$mgqD
zN`FIrT3|$i^}xZ-NZfr-!$)16+<0|jvX<U*<Y3{$G|`a{2C)@v0AFbKfHd9x&Fg;K
z`e<+WAZ0Y)^avJ|$#}!J33=5lZ>@B`J55gR=IODz#MV1AIT<U+S0Q?}G2UHRU$d&c
z^avCw_~ePni#G!TU?p?YH;;F9=<aXt?#9{XW-yksi!#s3Ov@BE{|*-YI#syy^~oPC
zY1P6da;CQ9tlzIONB3onzlPu2I)QJ5ng4dqli;j>R7800Zq@HWod5g<B8P}$@=g6F
zzosFr=y@PT)lL#bO4*WVEJrBgQmOXGmG`R%QRObq<S`Ati90%JM6eEACE<lv{PJ$O
z8Qw(}AxiH(B>2cdtqDOV`n$veTzvXqak3M|X*afPb>)cReKNz7Bxmm?JW#T6&z-yz
zuYvYXP^?jmrl&4uRn1*D-JpNxfNMbf!(9)VnNP%4kdap<F;OZ%Jr8R)*}ZZwA9tGV
zed36E15i!MeqX6S<x#F#vl+I{uyC@Q@^6%KiiUoT0>6s9C;Ix^YLYI6o6PDjGC>Z5
ziO-y-)a2AmQX0FkRE-o#A9tJC-!?}RUj>H%aI4?6`k7l<$H?!U&BU7eD~c5!XiDt2
zszy+)Sn@irFrsn@^$chMjU8b-+Tn@*J`{!hdUl@+jHudR<H)Mdbn4M#k^-b62QM@K
zxGj2Z(Pqb_3aAL&%;1rni91iOG|dxfVZ!RAvEFPsVK{7nEwy6Kf}izHtYGQ^N$+^U
zP^z*@5)Y>&{HU|>gjjLB9sV>J<lQ|0avA`dhhY<B(x@X_fwO{Oe0?^6ZOddKkGtE)
zC#gUGWI=R)!N1P9<A+>cx8QD!SJWiAQEh+fj#2==!cAO`2S)GCKaK@Fsl2%SN%NTR
zem^Bjig@$=p4JcbPANdLv*%Jd(%Z^^p8rS3T>Ac%=AYP3f0A?QZj96(jVY9Zh63i;
zaNGlLUPK?jQHYZTU5T#CTMJ@QL&Xg1Yu_BqeJG|w>!mP-76s>HZ!uLC1O3-EBCyAV
zs>si~`=euQqH^hXIly5O(*-=RFHp{t-^S6<dD=GZPa@6BqL0&Dh8v}A-(g?D(q>C1
zr7ukxT5B37wl^efjIl}sulKXd=DkF%hSQ!&<si0*wiNL8Sp(wfN&It)*n=f4(^|e1
zF~;N`tt4)G8s|*3PMNAblEHfv5IALI_luyjgb91udx!$=+tQ_9bjCl5&0`(UKb!lB
z6%?L-197i`&l?of5r8Vg8gYZ^vaPnk$N8adY|)#{bD!tb{8}*U!#`ma41`;U$=iGJ
zNg`j}f7f1gGGUHl6-%&<9;fDb)dc8Xr+WAMY0&g|xHeOZ_L(1RUxr2OQ#?=AP4(*Z
zF)@pLy?y21MmDS!!yHO<>^#EDlLqFusY>PWfQ5##;K*C=0@dWJs_XJcX<?ePG8Vrj
zXRK#waA9&#K7fP1?+;_bw=RBC^}X+|n~pm!YglVe@NP}9g>Qg$FVM5utu8kvdGGZV
z$wXUU;BrF&qIp%107{BN-^R4$HQcSwX_bU)Kjd+_b;dA^u~L?jxowMpj~)V6cULUG
znI<<B@OUYTN|s?J4C-ZBU30IYq+G2hu!!Vidg;S<$Gg(;@i@d^WCrlF?)-AjM*ANH
zGqs#u`v*$)GI$tT(prReq|-ujDS~hG<q6cMkVavXhWmvkHrD!y&R<6K7Yfuz!Ytk#
z{3-2YQnA`d;iQpePy5(Waf`2EdEgr_n)OMlBwYgMgSEF_pr4Zi#~=5nUZLfhLb5a4
z`4fU-*Akkw7eI)99lq{rLE}EaXyp2c=t<+#@9>vum-intX23VHmmI-Yb2PDG{+#<=
z<!wMo&;KUbNIC2`nej}7{m0*)m`9_s-Gr$1t}mh#n@ckW%PA+LuLAI2nb=VTIFHu5
zYz<pnD-4HGK>qK4W>c6k3vnb-x+g9YCeG&cLn+O&2dpu~Wns+M<(!sAbll-otBBEU
z1-@3^>v3V=(}_&fIy+Fau3Kxjc*}8$FpgNuScUTD8is#`YJ;0|Sshd<MHMmrgkXo(
z!G{g<eLqp~0cl>QJCSZx<`;h5$P|b{0f=2pxg2TR8mLl-EjRwDpNOuptE`U)*TRqC
zpPwyucyR7QVi#D+>Vqga&JA2~NYjNR()qVOyU?qi`tF=Kd$Xmwtm?3`w!PNPzbF-t
zQ0FH80_<Gd(VaE};|xV5as&hUZb{CQTh+BUSGY?RvB>F*mV-qfupdei=>PRL>Fha=
z#mX9ss@x%O2MLxudL0_pkeV!g1(|_{2%V-L-OV02E*WEDbo;G|{Rt@S?C~NcrvdzS
z6mV$5*)b}tNCqXGdi|1!L&&*9cYc^yrGqJQXyT63Jqx+HY*^Arrj#Et3Ah?h)|%b>
zZta%Q*_S}qX|gP?m=01Bw9EDNI=pf>W@9`5G{TQ9o5y_?Pcl5DfT_6xnpkOqn->mZ
z;y5XxEE?7XOzDb?yJ17<5?)%KuBB6-6XA)k#dDd=!xbzj7F-HuTnY{xTn-{QUsqw}
z(!s@u*<SLBcmKgcGYtmdk|pjRuK9DGn+w~`Usgra3%^d#xm>YL<&DCAy9!6$>7&Sx
z+{qj3ouTkhYs-UMwReQ(Q*mp{?C77_4p#VM+k|ZW>zs#DmRc{n`7t*>dr_awM?yY#
zifszp^Ax`$i*?aSgq|ITyBk>R=B%&b@ON}>jHLM^cR=0_SLc5+@2t9#DR$44i=9m_
zO-emG;_!RCK`~6Q??Nth6p%FMfT`{8Md%?@p@>wGW!Nu~4vhZJoVGwp_unV)iBtBm
z--FS9hU+%oCZyPV(|1J5&k%UBAQ+!OcKztgfp~Y1K2NxaKKh=KAlVX5PZIj8ob%h$
zL~@?}i_5iGe(>pW?}gu9oTB!1S6OMse9cZ9d#1Pd%!EM(pJes^_whQby2K;4!*M{?
zt@HKbbF=Duc`n^SopnVWo7FDjd`_*xqyp7c?GE~v%GX+fq3;4d69Cp=0!*4Sqi<33
zTspQ;yDk9C2^b2baSqo?qbVS<Kak<`K~-Kk_k?Qpu*=lsoDD3sBgB;$`C8L(_@DGs
z0?nEOx|X#B<no}_4Vy-724!p!1f#!Eld8>fjFWJ+!L6OZ=)Ej^YBOCLUW$q}{@7l6
z%$qj%QLPmZy{J}!SO5D`tmXyxWd-MGGy0wH?1-C$tQ9$0vT@vFf|##s=tn~WJn|%l
z{_l6e!G<IM!tz!<0?qObUZ&kmm@n5#&)!@{CG5kWfHt0|-R`U(^gd$A_itf%kK@!C
z!$#w*D4WFaspFxAEO@f{_7CS$g{*-k+vFeF>yU^K&B3d1muIv27eRgreIFzwFozd_
z_$)~${j!Aq=**y8TL_(-jl4A|cFOd<9n|D%LkxPtcSindy1X1)(~JUqyj&E`8;2J}
z!;M2uy2`bjqx(S=MXET}0=9R#Bq#Up-_2_luV19QWx5*sJ$boKkPhUKi@5c{`qIMd
z<IR=%>wxypk3KU_w?j_L<7#6>WKK|8&r72prBDMn1qvlsSFJDFVyccz1&WBeUIF^M
zTB_JlZ*M}mN$F^Au|W+a`N8AFiE#h$YLqm3Ld5YU;IO{ernkKPh?%6-RbyJo<%aCD
zS0V9j<kWKAOFsfhFxz`~B|iK;cMtF0Apo%t?Iu8}l<gIgtk`!Ha)bEoPXJ<_sR?M6
z`IwCdF>%bp3~fu_qT%6CPZ8uyNKWECS4+Y+P5(TI;5Dd=D!KLS32n8(7|1101d~^|
zyQ7&;`~K(qKY}@@CNv<qRdqUnN7<qOKIp3~8@w+q2Owwbw-`d=3hH^g5pU}xRi+st
zHbcO=?5D_r>%^`cx%fTDC}%2?$$kc{BOR4GOwM?bey((5$Vcr7FyqqcOB;YY$uIT{
z>!OnM-2l2N-A+K@9vC>5O*|BV{K!^&yru=j9Dy4*rev$xW$l>#K23?sSzWLPlL|V2
z4tdfgU-5tMe)fgTqq5|2xxOV53!&uU@a9P|?~hcRv(CR5hVgAzMNp^1nSA2N?c}}N
zb{YlcfwA4>Z@{F=Z?1}x>XI-gf{dr#SGy_#1tVW5%;#>)Aw;n2n>+03uH&7a%YKy%
z>_c(?gaLB9S4&-CR-LAkt>yaSExwA=^xliv=|<>y%8m|S#uS5WTVBOq(f__Dg<H6B
zV|S+9et{y^y6YinHmAco9X}SW-j<xroOkdb&96IYl2BuS6JAX*AL%5N0Ij&l92)-X
z_`L9W4!S{{+u1Yv$gv8Q38b}MfY1uV($eqlmPBOKsg$){;*e&msOYlQY#42JVihUy
z2*1_L`q9p?gG+E|eW_Im>gtu?|ITI#3y#r)l9%al9g>eO{c2*VWffm`G(E#Ph91nn
zDr~pa&TQH(Db;Q{0RJRglKUYR$!O*d4)IEVJO!E&BZ}UU9<c{kgg_LMkCb&TNWN-V
zZVf;I6VoO@bos{(F46I-9(RDB8CSyO#Qaoo=iFiYOStEo`WQ+~_5<Q-&&k*Ght<BP
zfmwJ{z|@HA{0sQWjlfA7KQCYUQQ?4yY$ClY5_T1CR~Y-4u{MS(tsu>9N)KwAhoSW=
zBtRF|Lm(}OIr70S_3lb;#c!8BRQd9};{wD6X#UdfP|R8aj#N8JPMkK)Im54Gv7<|H
zgF)xl@Byfv4TC7`DPE49AnX2coloHq*CgWHn>O}Ref+Fjss=UbX&e#dEY5XC;eau2
z&zzdN!Pq|7_F=Vo5i#5>@1zdnJa?@}re?a-7hp|P{b|XuP0nGBzP|S>P{4ea-S@x4
z>4`=0WZN&&@3sbK;M;g&@FPrp$y;*=K>vK4xD?jW0UVdG>F+_(4Xa!<I2^n)lpdjJ
z9#wRRSXu(mt6V8RFnSt{2E}wPpG}KW8HSlX;QwMs8|UGn<KZ;}w{Sagv_g1NXZZrH
z02vVyjd3!?A*C0GR`<?6#~i4W9cD(rZpQr{*-LA;I(+!gCCnT+MO+jFVQTvP`H}NG
zw(<8B4O-2iIwGn&45=hiyFAMNBS0<ShzSTjon@-X*n~#s?*5m3BlQOBO9${m;D+ge
z$t|(nZisdPNR%76VrF|EJ(Vh8->A|T#5f)9Y7=*|vSrI%&4f9rB~P;d_kR+73WD+(
z<p_kJ<ZWcB3(wy=q?+v{Z%6e(a)S&mx@kbD=!ye}4b5^)OzaNdlesMH{gcGfDrL;a
zM1H1~jw?8p`b<&4g}xsDqw`WgzYfFgoblMB`G8fz@JkJQsn|0>gWa&NRVMn+H6n9G
z^vlk*>7^A10>=12C|`(uNgj}g&2wLB&3e>y_bVmL15T5tCz6tqY9oD<Op0^vX!Z^0
zhshE<Oy^rnNGtKi06!F!S+wp^Cw=ZNe5LI&V!XUUBH$&$hs?*nI<V2^)NEOw{=WNB
z`qQJ%eqB$f!y9gW0NVYNz;+QeL|EwfO2T#4@?Olvw7jr3X!|30T+X!JumSD4g4efh
z@H!%Xos6t?)(h3S?@ISDjXY1vT2Jo!ZGQ)|&jTjkjX?U}2eqWLoY9a8m8c$46Wudx
z59eYe#5L3}vE<Vi`|u#h5dY`Qn*W{q6c%Gyx0J#hf|%)F(){!I*U(@M|Gkl2LUZr{
zD6XR^RXMyy!=-kVxx>$4_jwPv<ttXROnnL7Bd~OdFcSB$iB2?=nUO-XkAORSqVp$9
zfxB}li(L87pmpKE;o%{F`n77#VX4*cv1_wOkR0k@?7pLmHaY%Bp9Amv&cj!CS%3@I
zRejB3{CTug*BRvW#XX0=A2RTJ2*~FPR9trxp?n!->>>ywzs8s%^fx_)^NqeC#yM*h
z51<?bbwi%gmX!W+3Fe&s9n(aRuCRyru}qd`<hupx18?-tr}$#$&3+Xs)9yUYJAT%y
zrHEic{8Fq)@(*#H@3|ESkZ4AcO_pMn4JQno5}r9u7C(Lr!w6&UFCkn=F`hfJW$b^C
z20QU5vm~ka;t8ne&yv6&((xmf1uJW+?aA&PrH|C(b(A~w-N@5;<{4YcwXjNvO$0xv
zu55l`jS<Ok00%S$^GrGXRKD*bYVOq6-D$hs>J$C;K7Pxp@!97mKF{8!;bY#nEwsVK
zE`}HD9<U1hO?{aIkCkzh_39;VM<T=ho*?Mg8i^aCI%we^O~0+noo^_uMehSLF?2s5
zxf08;p8|)iLOqXHoz>MHtp_~sjxwTcf54ZHV?5>q&kyJw_a*sY^!I$zPIm(C?md@>
zI%oYNV@?_-S6KVX$*uZt2;F}OqzA*xTN{<2Ra57gb^iV#j#yd`ipR$m&m1JUF2{u%
z8lF4vjOX`rS<vixEqZy}LecQ*zs-1J`og+U!?GlDV_={;l?OX0Fw%0Zj=k?e<2Jsz
z_96Ho#^~n)V5IZi?<UTkvD3(R8}`8-IXYEt$Z$feRav}mL)<^n^g5u*$lUY&E?BCA
z$>G43)5WhvyuNVOU;Q*_3^kr!jy142TnT3~uEt`nE)*?^OCO(Qew$uKZH+7yO4y9A
z7p>PTVM_{8*Vbju79y6QSQ5g{DmQW!PF|{qNQp4A=W`ZBajIAOy06te3NT0x3cAiA
zE?^bV*N>w6nEnm2%z=-IWG<(;!E7EE;}6*D1@eoNPdv<|j(@#;z!bx#l2mrpr|w_1
z2h3BQTi`=0{+jFrpA-z`_r<d(0x5OOz5NO3E+;mO-a+?F5#qbiG?Xf$vNE6YNW+x?
zEc4FEkF6kWyQ;G{9XnZCW@;R$!&=+?2uY-L_WP9WZ~OxSeMkUJH7zeR3{_jiHJ};h
zvK88t%6Fb(&8qlpbJa{0#d>W;_%)f)<+OT#6il}QbsI=}1B7{-sj~0OvyAA{MYyA0
zvpZ;TUAp0#FgCBy3@?5Ws(o}!yoD>iKUDVnApT&r+~0b%sMtuItgDh9x3lY8_choA
ze%ii0&Jvl`?0mafaLx?ALBKwlYZqHJPwdE3w9i-bnc~B^&A{o-gvioIG^vW3=*p$)
zOx43`wWH)ZfOj{r8Oe}jYni!O@kjqaRLlS~0>+#?2Z)CGPI?gs!!P9`M!6X{#&Ks1
zZ#y8FBU09-7^&B;?pt+27M3aCsrk10?I>hxJIUX*L`mQp1d|g;v4>YX(<qj#a6#lx
z>KQPPJBMl-FuY=v3av@qqCtR7o9`}AXlNR{B<lQChDOys@JQ6o5Ogy0Y7Zi4jrN-(
z(?ZxzmCb~1NhICNrSiOI&w@jMRo*v|4NO)GRV!l{cH4ZS`-hpubatn#I(5$DRo7a0
z#q7AmV94JfokkfDw8Z8(MqK4dgrKJyfBQTdKGV^i5bjZ_*{+WK)?&Ij<mi7QdGvWu
z%ZDDJLc6m#H>a}*w0fp9CMA8J6@QBvXH!9rF=?}NSThU({013;wC3;lVQqv$x}D-{
zaf?O1;2!JE4)gym!H0M55G)P+j(YaVytH$F(Qa!srA&k}-swQ4?(LBaDe0!)b#t*}
zX+G0rukozaN6aMr@Zf-N4klg-$X?vnHh}KvEMFi3JxJ-4-LifZAiFkq=1$$bJJQvg
znAddndED)>lVe+Hy@@mH|IS??kYHdcJhihSEZ~iIlN=TOeEpWIv8T=}%>8z^!bL3O
zgH%SAF#Ai3%sc|~QKs~lI*x^J^b)RF`EcO}!*Hvily^PT{;`bJq~gY0+V9#G3x{ss
znToI<C2|nau<jkWJeIs%%g6r6_#5!k*?_Rq0%6P#+1mK+@YzZYqc0J^W~onCk3Ze#
zC>^X$!1S@i-ek#dC6or^^G#{w$1vZDtanWuwBd!snnS@Yh+XIM;hab`)OkZ0vfk@E
zaXER)PwH5SDh41f__C9!mBh=5z8pVmId`pqp`wa1KV5ZgHp`4bPuy)#PHf&A2=4mL
z__3+~>~oe3{>%1h{uysQn5BzL^{Mf(t7(pPKjYdum26}$Eh?K{KLG{U>sMo^zdaYI
zdN-vCSDy$whkGe~+Xew-7JPqa)~%sG6A-H-Qfw;_YuUt46<COuchLrjVY75yv1Ip#
zyz1xD^b#ie-@bn(bf*<0(KBVd_wPj<^$^d25M=Q|VXTx5tXccIrR;U`kD@drEoxCS
z#QY`MyV>RIm(RDmvlC&bdiZn#CLMhQ(E-Gn2>q}`Tg#jMhx;&Iko$}USoq<np0zFh
z(U<-Dn%uk_FJ|?Y9fRc-Yg}z^){4G8GO(p7c>M3SvoQDPm$!@1axYft#6$Ub>KCOb
zrHyf3wf-quzA>wjTGL6TW9YQ_vSpaUX|7`lPQ1yCOy)rBJ76^`AnFa)uXou;Zuo9+
zgAhxf2J8jz1_Xg=V?>6#3|QGMw>6B8OF*dkafZtcvAlIf0<hp29^+qHOGXp8TpP(8
zo7;~G@|~X`Y>&skBe$)p<~BBxw>8=wvyLH94AMjOy99x~rV%!xEO+=Gx(YQ3{Y++Y
ze1c5oMC^aSdJi1-q(@#4_u5hcy`*!<4GhpaGH1V?u5{1Swdr>>G6Yv4(R(L>C1yZw
zRYi>JGB^9oE9&pzlV@jEP6SsB^_lSd*!F>bvl|k9lg!;y@s3!t5P}y5Et#-4AU1&(
z9={$}2&=^zlX=EuW==*vGJY$wPK6Hq1Z~^>naaV8YJY3|HVDCl91X`rDEkMeTjb@)
z-NlBvDG14h$Kf*Xe938mWt_ze&bGgIUm_&U%MFr#!`tutHv{aUz||~z&l#Osd)D8`
z@kwYMayiHMIcH|_^+8wU+{p4p+i<xo-nA46B<XQrxGklJzBz-xDR->C)^kf(DRZ(G
zj+_Q4`?Gf`lcx~D5w!&H@bfL-q<<FjC}(XQ7}YAet$_$+-pR}EycDg_>Q;Nu;g>>6
zfB9wqRSo;Vqkqo9eFOZL-^Z1z#Woy6-z3Lv=yk`D_}ltz0Io#hvwmK}yK(@2l*j6~
zcse~l8HG4*t#DxN9ew7YSs?d%h1g<oWgPWUEH?>}PU_^|q$TN|88a8sVN^o|o*T3@
zW@*0p_nohW0Q)m7|J*2h+iJtnxLu&}!MgjmK^Kp?IBBaRgKZVvT~v_8Kyu^c?dyvz
z*37(FyOKN~%xhRvG(RmOd-B7bu>!ty6efZaPef6RsTIcOm}5%CcjDO(I{OaAjaMtS
z?HZrJOnk}x3k_lrf00_$O+2-BNY%^2Fcd+2)VMB7y<Y=IP+GgAI=MH{fRM!G*%s&n
z-|LpVk9FS$0iu6?^$dyUh9>K=+3_2hzVN>3n5|n~IZGWJFpU7F9fr&41CB74%S4k!
z&7=st=n%f#IJ1|1ui#&zMI0X7#C-jGkIKOCU$#!MgXKjP5j<>>t+7KsVmD@gUbqLM
z>_gjf<RcjkePFZsia?i?3+eH+u(c`{XfDtqX3FPM{VqKDE<5fV2xI_H9}e-k{=9B*
zAlBfr`v5&=WMp(BTPrtv0l_zLT<K-MKuduKdMfy}=;Z$o*&k}~$tD(QVU%$ncB@kS
z53#E<JfP&n9n6#V9{`Z!IM6Y<xkHGsooiCCR>RI#S*R4(Hx~-pPVq=4t?+>NXKNwe
zK&juCJ^|HwJVixPzHDp0{D^$3Q8%b_*y}KR0OdRs&LKP5i<YV{w&Hu3{&&lP-$Qp^
zZLPjQ%5FejS;ns<J=_|8&PzSCNj#YL{A364$TCNi8oPBc?XHs7_6f4r;)e^xTolP+
zXa7wn@*7<?bMV~iz^VP%ZX*u{Kfq!S^<bctU0B`mG@qv_NSfI^z?E%Z;hE9l0&Xod
zmgXusljexzXPy@Ks$TMK8=HR<Yaq2s!8xcgcZ*TBUe_!{osIFnEBHvXTY~xi%2iMW
zXa8)^BH5^J^K?QTq?72<zXUU&gODPpV;IDhN9>o3^?!T}WW;<-iWMPY@bBj=L?MBM
zG-IAeyug<Any~=KrOyxDU1%{=+$uV%_N?s$3^Rm<?^gds)AzUVpD{HB88W`c;JtfT
z@AhH1k$c@2=rkW=f2e2yGw<u~5`iK{4$1a4L!n{sE}PFw7kcFC!5|RGYYBZW-%P%U
zN#_7V(dRyQ`Y|<{GuGxiS@P{8t~sA$HpRm)M!L>|U+r4Cdp!g5IGGv!%h;IY5q)|s
zg!pVuMB=-fJUbzp=&pq<TJ~s?v@k+q{SSSnE$5iwBQ<)dr~KS1i*Zobo$*l}pn)6R
zH%FPTUR#N}hI3DOroWHbv<`yr;8_RoH!H+4s6qR+Yb)(FWDAS7iJawaynvz@tZ11$
zC|&m7eb*2PbaNPgZS@|gq5P`({N^TY`Y(Geo{bJ%daEOtLqrd2kmJY_dSS`PAR21R
zJ&|rQn;aHj*I&0aiqxS4C3*0IS`Du{KPF3?Z$=efH;+G$2HgAr9My;Jt`T^@KefXJ
z*_&Vf(u`CgOawr^y}@kw_kWXEnSTI1w?O4i2>rHvDCl1AORrNBsjBrUB|PW5XO*#j
zdj|bdE3wba=icuP!9bI<0B%gINHe_hXu3`w9I${}!4qh_-FFXCJlM43AjjnnRfe$d
z_}%@_AhZC()19nO{KqIex#%}L|ADAS8vKEzuz3C%z#2b}J>mIxQnmLk(SmP}VD^Di
zYqEWZ$PSv;qm6@ugA!%G=2M9N{xyqGve9%oBQCL<e443n3iU-$K7KuaZB@v0)sZ>(
zkpg(w5vMypxD{ycr!BaN9zvqiyNaKh{A#OOBvt6tqe_zh7s8o;4QS>z&O{Lels#m3
zTnWtNvU#2#O@cXcr_qG}Q{^(8>b06<wV9(ngS5|rCwGh1$*mB6em{LQ4mUbgeA0lo
ze|0iWTa%5>`ZCMLvv6YCo_?E-0(^t1ih%Gxh(0QYtCvH$Zf~r;wGN5A8T#}x75*)G
z%V>j?URY);p{$XV26qLWe(1Y}ilBU4;-6S&`=R$(Fds}hi4l%>9B3GSrsdN-(3>8K
zf%u=5+J;4*H1OYKzpy%q<~aDQaITZUS8<zK*s~#!wZ{Wv7%Y9zOpW_@Q)?n*kYDyS
z;38b-8h5hSQ+<U6NP%m*fbhe^RKUyQ_@{1ehURLVsx^NlY%vRySm#)NPHqb?kLtRO
z?n2EPV%VjQBji%sx*tVTv>CYaxikC{OVpX~OoYNrs7PbNAb>KVuPVdMH&QKEwf*wH
zW1JYklP@dt=Vm<gX+~<m0EaINISnC0fWYOu2=dr1-uiiG>P6wTv*Pn@&{-Y!GZi<A
zAY{j-QwMWX>S!f5Ec{56kB#H<d8p)V#(&`V$KVizftd9DX!EKvv42y)n(%;s(D%F&
zP3Xc^D(aoI);jn2dwz=d&tg<uXD1YfHsRHo=)D9lmo07MmW?^SLkGF50iWyAY0V+N
zPisp{b2l95A>La{vFLGiyA$vbV*}vso57d&>X}5#aDUR$EfU7waR`o*80-wUgUO6=
z{P%n`xc^}8hjQ3qpZK+$--R?c##;R)r<bQEaTsD;4}V^?+AaBQ3{)!_=%sp9Q||Ml
z@jw~87w6}Xmy~|^#|w#TVhk4HNtEJI?kLMx*)^@%Y}e>SK}(5aBgIIat9BzNDjnKz
zNZ$jf-)Et}0LPj?@Q4v5w$86iR^2}4(64`+GE|lCfoSm3V%-Pf`e=F)#yY^p>Z9W0
zIwL!QW&<suvJcG$v%C8cgbdc8;iKscz_8Rr313KaVxt6xMX5H6=1I_@qG^9_i1r1F
z?rUMh%BdY_#YS(qYO&UeJNgZjR>PD3Wz%0}QQ;X6mNW^6008@OVY&f<hcmvKme$N6
zW6tXiYX)LG&!e-9THEQ0=a+54gddVX;h4!+SGI=RV08(Mrwwv&2f+J<4Fe(iH%9~E
z*8^X$62Q2Xk+OI1<IuOtmy?^C7d&x;j!$ESZwl}5E$)UBswT|3$;duvO#UCI|0+uo
z|3`>+{a=_Z=cJaT7?D9@dHJxDZyRU+vz$raS2mdA&;2?JMMkeK2amUvLt<l?DUmK;
z=acyS2uk(@V3I=y4s8bfxOR^FdORTX6$vBN)Qe0>QBjZl`-CxEubr%VQ~nqy)BBCz
zx}g;5@Ng~cEQM=kEb@OZ;whfn0H{wpq;7wat7GPU<IA|2tH8k7_-?vz=}tA1gZakT
zG9w?@S95@#*V8O0yIw-kSyn0zj^rbym$Gm5pMwJK8`L|zgXmRTHF}eqBkGsj=R~eY
zDYQ;gNr?FaZ)0FpynCC<*(&RMZM#uvWR-&eT+D!Zadw-}aH2D%!8vAZOhZEXU;c&T
zA#U6du%_aGM{Rs?17XJ^n=1W5zEq$S5yeS@JDB6x3YZ}!Wt;+CXhLORCAM8VaJgea
ztZQP%0>;i}<Ulgt>txdgOFIk)DwoM1$>ppY!@SDkx7{89{D;#~gKz!BLP^k650rOc
z0@hn|<C9UYr@B&sgUTUN+jUIg-(dP^lm|C%oXcrLaihG+(0w=NIXlaz&laMxJ>q(f
zE*%uHB>wB#f^&N_)%9jO{Uy@R(dvv}%_rOwnf5HUoWsi;tP(-dTj_GOU|zK2)-Xf9
z{ajrlHIL!_XTN<n6bDq4HS76*kZxelF-!i8pgBpfpajaul|Xu0P>D74+$9NR5zr&3
z{%!aJl={v|?tf*VS6NPY@7PMbI$X7{YH>If-?lRk`biur2sTG7UEY1#{qas4!Jl*6
zipI?>=w&3d0h%LWYx&PV!puqN2%encewO5~$+bUIU3j`4uby;7r<w`o%b~h4p`3L8
zIOvVxP+}}U57_y5wVR2n>FW~ry9e)51*s4ELS$w2$)fiwkfz5D<yxyDlkzX|%l5Qr
z!2c@?>9d+tADs1p*uSa9M0RYfHzw~s?qt)~p$T=fRh>BgZJnF0;TrqxxyvR42nkP)
zq40YxGCjEKY7B?XiH)rh+JZB+1i!kjHr9h3cbr;Gt@^4g@|UDfHPVrp;y=8RAf7*S
zU*SxCr(@t05%A)p-)K3L<r3XEllPK9A{rh~uVGXeNRaGcVdQz(rpJmP`p~d_pi|uJ
zztOq;L*9UOAS3@T7WmRu#D3@TJhL&7l{}80d^yBcUf@JbNlRwiI4`}s5*17$qcay=
z=e+}T?Se0h)&1d~sUK_W&eJ=7``E8}&w|GEpkH2>Y=hBgbbdG>lNyI_45*MxU1st3
zv+cSf)E)hiOhBzv2-i&-`bpV8o61*07E;pSBW94&??Dfv9XFz|SQ=)fi2}jyTPl;8
zC8z%_X9J)C(CEC06U#%9!sqmYJjpP^x#XHdw5X&x%Z6t%2K%8oSG%+VmWC&>*vr_$
z$=}cy;?rXo(M#`B>4egL$*G>?AHE82Ca18#RR^dvTp0Q69<SaX=1utuvL*njIZRV$
z%clh~rfFQ7(iD<XSbiu}2xwZc2&%Uw`oE2wm62I5vjZyouBKrs^b<F6`DYoDw_i$x
z*2`MK!gH?Jbt_JWfXS>|BYB9|vK~#}-etF*dq}dJ--PrdUUQv6qcsk6AjU==G+%OK
zK<}`&jtFs&Jx?qkDn)8sR7V!9(;s(yx6UJ9$$CF)tlzL3qqc@xpyQ~GWJ)1--+MRS
zzXiFaqsMsXKT_lc9!%KoqqDBX;WC_N^2AAAAyqO(&0YMW$qiN){o=tI=1carI~ed8
zymSVE94Cd{_oZB~Y+Ja*(o`TPKl!j}n0oKY50^UASf27QpuLHX7g|`jH4f;PvbOml
zvb7{XR@O1$HFtxa@dp#pNxH3lG*|pew&Fq4>-Oj!YDJv@iW5B`cP-4orMORtKLwdk
z5`fr|@_{u?qmvVtBC6P{3|8B^oFjS7@kT|<@DorKrNEt#1BB?%bLyYv0F0Bzb~-aa
zSS`<>G096tNU=nen3%*p6uG{6QN-}wo1yPz?u3Fa$};oDE}h+I#I$LsP-1@sNdA2V
zzvWDB9DFVmIDAE!AcnS9eF)}#J@|G-3;X`D_PoYXW>BAf0>vFRY!AI7ig~KYr(3Et
z7s$4X+#8thFjQ!w9f8bt6kUY`rC8k@fJP}}?xbtq^DS&>E=AOsmdv7=R}+wV=6UHa
zZ<6wj(c(!4|67~N;=}XSX;DKMWWTjochSau*{c5A4JYcYH6D=j41k8eJ)bZ-4UPQy
zK}^36J(rCw*R8~(`TBH80SSuS07oigm=`E?4#Ba@o&-AG#`aTfmayEMLpq&>w?{Ww
zhME5>Yeuyp&tN%e6&k12a1n^fcSAB~agG4*dURz^Oh{#<@-ol}i#+i<IWKOo70|uP
z<*Nj}tDG*y@*36E%r7h$o#Ex?Zg?bP(v|(A84=A(=mTGm@qxJmKe_OD=(y3?A0<QL
zY6+BgJ6-<xU!D&ry=58WJqrdwQ1ThH`Q;DO$&+v4&Ub@r7R^msRw)~Rt3$0b*$U=>
zb>9U?UKki2?3ep)d;Gvm7r=|xbzmv?1&4#7u-l?D=|KmMwVoS4JJiuXpB?VoFq(nt
z165p0jtiLn-915NK;bXHIK={Hi&3r1PP3k_*>rbi^f+d+JJr1p{ez!1%>c1o+ke3~
zcKmT&Pm-Uwbo31F1ltDRqT%DYP~DF7<6AfNt2f_>{gr~sfetGs_|&&=K6n;p691Sa
zEaZ_Kp_%>*8kO9Bm3Tqp-K`gwD*wC0ZU;IOmxTP%Nvs5Fdwrn12GsLry2NJ-1SgW0
zj3c^Fk1~*{fYHTy@&n(ac73*qNiNr>x0-T~Xdpu9!{gpej=p3^`fV_o4{QUAc&B6J
z79rs(k+!c3s41S*2;I0_i68EE>u{y!f=Ar`9uxV+)jYL67kx6{|B5ML#Bb5dds%QD
zKD-t?viyztuNh2DB(6PQEyi->rJ-k22IO92k;VycORLcGO9DfxyzQn=KNW8vmt>%Z
z0#no2Sv`y&7QJ-nIRdE3MmmevX^<*)o*a0YvMxFf<5B1Gg0}kmv<-w`RA;B>Mju;C
zXl^f@1*Xo2OUA2d9f$uf(V@a?;?NfO;)M`fhmg1yw!Hgg;dyD&=j6!U+g;Pm_Qd00
z{;JMlp=tNpX@6+8*7m9+u3(?M`82i;20lB73MYg6*pgewJ@_(SCQ8xmiW~Flf<5?l
z`Km9+d#J=`i#kSDC&|`)j(TmuW<URaK(p%1C)wP;HrjzSSAD%s?WY(}uh-E-OYckT
zZ|Xk61H|Qj4)e6sW;Bbp5UrYH{D#=#h2Gg|Yz@Rc3w7Olp-84kf6p&s7>90*^rl&f
z9FN0EX=M<Yj)yhOt~j&W;M1)w{(q0z7nxi5%!XQewr_;bO8LONkNe4{1m8v29vN6C
zjeT(i6f&{K04(DXUpupsfW?T^L1)WAFCC+&7||oo6qDNNZtcEBV2|3t4Y(?9VijPI
zmH=w;Z@g_zGrw8_%JbFxuELxM9q#s=6Web(JV53Wlg_M;J$?RPly<>;_y(2)71EV&
zv@fAgLM99t=4b^^>%ubt&7h@3NYiP#qaSw?<k3DP@sz}<`4mdGTyhR2O9XdDi}0WT
ze>e~4XgQlykL>B?we|Co2AlOK!SCo6#3@RV#r2?D+nN^I%QWb!0{fwXsDHDLtZMvK
zftbg+H{+mRrmHNaS>v5Nx%O3)1;&ieb{2-GLK|am<NDgWbH8m()Hpx98c%MmdBhlc
zcsu8iz&7WUZK~-MN(iJEVH(y31K2GvW=lnLsT;%HT-jt_L#5w79c~xj-%piPj8dMZ
zqecyJjTyPDhm+%5cNTa(`aYrjzt8MRU`5f&G#mJxLg9-!WkI9<c{aYW2#%gs(*A>L
z4R7*q&&_)v(*9%ew&Qg5T3FjGY^a>I2Otfa9=gH+Q(JTc@r1)(%-V6*1jRNr`3SWN
z&4;vF?@*Y@IwX8)7CDeCp_oCme_goqsCZt0a)!C-e`yyTdzNGQEoYC92<|t!9*M9Y
zFI;xv0v>8H&2S+azA>AYrwU#q90>7j7=xH!PZahr7}(;@fg5Utw#k@j4eTu=TK(Jw
zGiQd03wN6AyJ!JkYzffj#FPSa6q|g1T``o!OAossN(@~5b8;h?o^p`o!_T2vacG|X
z1FfO<;>&cre&7G342E~xa(|o+fbRBw8GZ)i&zYs~ABb>>CHpK5h&M_d-Y3d8ABMd^
zuL4TKMR>ARrr%%y6vr+WqXWi9QubAt*EOST0nXp<_lcwC((4fsvhoyQ1@;kY`Yx3>
zyB9tj9;WM37KwPy_?*~37)w~?r~UYUwX5#|zkWAuKoTC4q|$6Y^EoW%Bj;c4ruj_H
zRAt}jreH;AeYKU1YBd8W)+KQ7+!Cf_>*8SOoU&9q7nzw?T8*`N%dPm;)KL%n`?V1k
zn|Xz`T4jxuct&rm9_i6s53sJ*hATGSjcErzn%iZR{$G1v{Z!Q#z6*%7QYxL2(j_Se
zq@|@BBt+>>IW*GUDM%<KE#2K9-6`G8;hejVALBcB?w$J&Tz+sE#@TzVwby#%d7t-L
z9>mW@`0^FAA!!SDuL?Gmo}G5;WRO1i<I@1D&I{{8F(`^pm}>UCM>wNvVW-<e!-}+b
z5g;UcA5@;BbpT}2Kh5K9ysljEaOR(2b9|zV-l$OEs_UKl!|8%>Vi(+MyamnIqE6`_
z*5Y>S$vHm(U-ugvMB01J22Zlw+?tSfA>coOU|KGiV6~VjG*;T{FAhsdW7V2OVG93&
zYebNW@s)_uderD+@moWwJ2vw7JbkFcI>!aM0#&+jd@#HM`>z~CdJkdvmQ#8z`x`3x
za#mWfP~_ch@JF&6dghpp`6iFl3jI4S11OxN9Y0#ySPiU(b#O!u1CBgLjS8rw%FYhy
zO6aLPv(;1V=}A)MlP_C;s!Mo;zTVOkHyfqB_MiJKq@MMiOLcm<@Fs3y`FQCfi}h0Q
z0gbRrCpi>%TNV{&{UJ{*jf$&w+0wVbTVF~TAk~Vn%7!T38yLXY4<az9BD(_4$YH{k
zw|7kE+JnigPqbE!wt3LHi=zT&QiZC%V$$n=@f`$pGnwCqbIl)N-J<bC<Ky>ah`2Bb
z9b0}U;~R1TgttfGgM7Ray`aq`V`yfob=`IaKvc#y*M!;SLCsVJF>4AGZt=s;FF-6g
zgEw!RAp3JQ!;hO4EP)-VY?MEi!?V6^I+b<sHJ>i5GQO(pLn!@&rSwXVK~KV8oHRJN
z!p@BtTMBUYLNOlepE@<WecGe(dS{pg-fAN<Zou)5F%UlKc{*GVI6*dDpsr$CH8&5d
zw5isD4P3&Y(4VL2&E@*?H;=Si6KMt19k|kCG65;64WMjqOJLv}|Mo#7pYv17!2svK
z-gXmh8ZVG)!=`6Z=A2<JhuNi#1oORzJD(qg>nJs{crR$#`<^foE$mRESeq=%F&n0}
z#9hI1^Oo;T;%*${xHC%Wa~&X?+VwcfZ4<RCeeE&dU18Lka3r4T>43lhZO6#`e}D&0
zk6eQv8pM8KzlsF{QZP^+%hayFNVp_BL8|d@#J^MQKTGEv=iN6<83oZ6pMOXKgbc2W
zO{c6YMlgiUjuvPmZqFT#DYHMHcNdR4sJn(<upXIY9c8@4n(T;os3c)L{e9qlj>Sa8
z9T!eCzDXnDPQ4MZV3$`9W!x>{@dnW-1+;kG?q6=e>NXN;C;+ZI*)~|)Brh_BbKCvP
znSl=Om?g}h(f!=!t7<WeKHSE6KbTya*|t7^oNd1<xZ^%}SR`OJ-9i<q;{O16Z&?su
z<!@9O0i9b;<a1@8=C!h0s<f_CH*+kGcopxQ%=g&y=aFp3S<4O&yu_t+9wVJ@4&H(R
zeI~6^*G?u~`XA7QGft;&f0>@ByWtxXIv!5*L@48jJAhfcgmY?BS`5tpYl=mRrrYJC
z%I|s(8*KNu^Zv{8y^|=cenWL4Na6Se&y)x8^D1Ub?@RL^57MpLQ|aIL^RpSneKsFR
z%?_{}nBcuW<NBv5Qym49gN6cyciP_KWDT%nFCs3dYUk}t;8vGsfas`E<i@E@V*Ln4
zlZU)n$=6v;nR{-9dgr$ZXT^pOECy-r1<gyZ=rxn73H(V17?Hwz4SH6@Bf2*#p-uI{
zF2P;20`gVeu5$jR3;MSU03%@nxT!0zuxZ!qJ;C7cJD+UW#1f2K>n8S0=iK@gEDR{7
zjrC4Bp0KI`Y4H-ZvTUL<qGeyTEjDhQC1M<M&*pUNYENM)<SKB)=`~e2&GP@mV@gw|
z=)t)-Jtpyk@6Qua^(Cc<fDSmzTJiiDNur=_I{B2dH8>M*18%0OF4WFJ=)g^0@8~Ak
z=5oPw8<_xuKXZh$Yi$@v92XI)%`qmna*M@zG*tF>N{Kyo5~o=P<YeyM0?7z1_CNE<
zf_KEp6FsOfNv#uK`+jr(S^Fuc-nvWNCCPKkEBDZ#uJyGj1a)x3dYZ$q-5p0hETBnK
z3byMHeYdfOxT425l%W8Wspz?Ecn+_~J>SvSY_EIRzS;BEOS6xTPa!5D-#NtRukR0P
z{`-xK@o{FJrS=**VLbzz8bzdD64Y9y%4Xi!z9=sHqy<7`_P8dB`$;gACcJil3A(VO
zadZh@oxQ%f$=nSt0|6Fu?-`teceuNLl6LbhTuE*KBke#(5=~=)gOU$?saY}Gi9Lua
zcyYEf*u8-TMdM)z{f~M?=zu(FHI1`=s&qmSe`&WS_u-6dW`A{=6`E`O@Cg&QC34m}
z#YKcm!_%|D%FHibgg4pey_T@?D>X;y{(Pc4m9aM$UL+C4YxsL)YzXo1-0vYMkNJqr
z(hCY^8L;@(V2T<xaF2U<Jy|uoibj3YS9*(!$@|xMsiQjv*bIq{ea$-O)G>8bho%%%
z6M1S>hdy=w(4`R5j>(k<8HvBwu|$WK1)IOebMnyxfTlH?udauy6nVyAm0UGiu(&<o
z;*_>2Y^f#k``9yeJ}+n0Q63VZn8cPQbmIJ^$mmK$n4>MHX)DpUKEpNmpI<o&y+(4Q
zw8uETV7$CDKwhXpO^)HMXU}BxicKtXmNe`JXchIC2}|Zuv#GS)*#?(!wdH-7&$X6-
z2?2TnB`sntyfb!=W6TY{*m(+H2tw12d?YJ_6Tk263*b%Ao*Zw)Fp77}HAzNE|Kpl#
zQ;ifss%CyDIY*5Tq4p6iy(3#58DsXjkNIT&8crxeRz_C2v+02bA^8a>e~niD^h4}x
z4UEEd8Bx*ec5cZF^Tw$ppI4`%bsPv+yTz*SFcfx_?nx!_NUv_uyjTqiJf0OkziAb`
zC-&zI+ack6*O%md2KLicm;LJf1@-L_i49g>!OLYhsAL0=MqPD<&A&nE^|b4&4(H<E
ziS1C`!qWI1GU@^KpUWWoX8KIU{CU7^Iz4DQk^OPypD$9T<xv)-S?eR&6T~jl&X3sI
z`3JEC&?K57f}vk*dPaav-%msT_GoT|dw?3p6?VG>zRd^SCHpNOdmas3&V7c}W{p&|
z_u<IultTFdxt<01?adl%g;hGt`?g8ID-m13pnE7?2xKUZ?g&&~a<;qzX<|l&JnwKQ
zlsU^kZ)8uo^J!<8{;2`#pndcVFjEbJ#Pcb<(P_<7=C8qQ=W;&UB=$5Guh2sVl!_Xb
zbltaeF{78nSchlthVu?}MnRu`*m&DFFVnKQ^{(xIZBOb!E$tB?dW?IMOm+`p{_AZ2
zj|S}118&x~tev3B1nWB#udVlTjyUSRzp_ok4)h`&3WL~SKReEvK!_8kPLn8wX@zWT
z?6x#EnIXh$+o40p$&#XFkaua`<A<_TuZ3oXz~}8avp`#d;WKG@g4Oj~&Q<C?IK5)Z
zE_#-?TIRV{Jx~&9(x&9kdZ^jOvb=wHiCAgjKW)Ak?wWwT<hNwv$4>M+6<bFuTKdK+
z_nE3-ETd=X>&m+n@q{(mYJ!cB>{#U4SIfSbtgbSOHj&Kf=mdFR7S1Fa+2zkiMbC!e
zSEHd9)qpCCQ3WPB+j~D``wZ#wXo=C7nIjKi6f7`7-*l^tCnE-7Ks9$6i?DyauSFVn
z`kVe?h}h6W7O-8|%8*CgoEDK4G-`q%LN#6U;EKvy>jKE!L9ldJ9CdQ<2eGYhA`hNb
zoFyN<zV3M%3AuywHP@mk2z;?8K4dL7ze4=^=#2SnuZ7)FQzIDzs<cj|@H>_}$JJ~e
zdIV9W`bw92`s(#+Nz|#H=@tUP4;SPx2_VkJk${CTmGE5*L-&Tg>Xy7hncki?zKo1%
zlV}0z^i2<TZ(va1lj}yDeSgj}q<#hzYSD_1N?tpOyK+9rYN!a5j7o@Rkzd_=vf6h2
z4@5yiM4M8bOo@}f``T|18eHzjljqykF=bLc!YnsSh}cji)0E~Zc#)WWDDS!+EtLSL
z{js^8jY=f~c!HA~7z~S$iKTlHkPMZ&n6qhy39m<qk#~~VSND7DgHDr&xz(rHJ6P*{
z51l-~ZT+3m+8lUEj8Tx5Wh|jOKN-Y&hHo5Vi-k{Z#zqH)(nJ6G33)u6=$(%DWG6L}
zL^rrPgB^JX4LOpY?y(~D=vS8$rBX!Yk$uG@yZ*NKH<mOH10RyT^xb47Zd$@C41Egp
z&~&pfT&}8ZX?Gjv{W-273L*rvTcR)33%`?#LtnDL71P^StqdLMBBv34dlb5OCe(z4
z&rk`leU+RunA*<p+Xax5P$D(W;y<z~OXj-BdrRXDm*A$+gMZr_Z{!r(<;8a^ud!*t
z5+W99s^&Vac*~qh6a(4z!4YMjWRM=<F;x04jdQW%@VGFS0dz`>8*5M7=7Uib5{`j^
zQ4#mr>z^4Ly#b?tB6^w;c0@Ndy)-itU1;5a8lfQ5Sl|zt*EYGnOSTs5h(HqsU?}W9
z3OqPeaCFfs?W@i7bqPF8EQA((*U?=X=*=>ECM@_LLkAAIlb{)LSlyjy^!X`0uf?)s
z!PCjD#$SMXXI(j<ELCKQ0wEVLKpTsraR>dq=dAuaH$)!@6kjeZuaHmpFqtghF>#{t
zkG}ki1t1`Lyv>RoI`1(+Gi4jtZ=?KZY7;&4;@Q;$Zls(TkqD8|$B?XwdWS`9QX?AM
zs_j1JuZc8-gxtBZ2VS%#D%bm?dWk9jKJp;mM`}0o>%x%6C;qA*t!*A++iSD1N;M>m
zG@IwlJT(@;BWy+nV)jcz+@|O9?wjr8X6ttac)n{4Yuz}9(S-Ia%k+?Lo5G6U1T2~n
zI;3ZQyK&8B(zso=_Yuj(+Dvq7Q!S2Em@8vN?!h0GL+*uaYwXRqS$#&QdvhxxD0)16
zFA5R)Uhrp!$Wv9a|2@6i+6Hp|R1=j?dkzVt-@dHuaaJrX4AyM%u|sHmy3m3ArJLB(
zd^LNmA3ZYO-I<Loj3%!@PzAg&y)2{2m-aqh?L%F8soiTi(Lal*B!h5LrGL#7%*ECt
z?Qm+Z-5@@&#&e~c9eeUA9hsQ&7nl0nDGcR6l$8H=CC5)BT>E{})X9YOKCAqt;kJc|
ztj*uJ;u&&7(xCY@K&+Ec(~2lc6J(1^@8~{t0`RH(yp7UX<Vc<BM;;yv0mAR`6k+BL
zkL3a}ZL0E5XqDejeL}X|lN5R3P52i`G_*yk_J1B<`{hN?QdD^ChH|!)RtX*jk@Mxn
z>sIUrb1I)MG+@R-?uXXH_d6S3ZP-!_2j16d!~d@Y`$;?w%9pL$8>Rm@+zZDk(1E_n
zqpq~NRL32n>!%GVT3gX^j6()XXEDO}@&d8vkA9~0p%$F19B&c~$Mg(}$Bxw^dtc8y
z6kCxjR{QvAkp6{HW@sNROMnL=#vs(oSM$#tGys`V@a6Jh{1!a$Af{)>c;qR#P;5_#
zVPbgn)KCBPc2xAibt`M+SfKnuYkZ)%;_N?oiH`EMHf;%{pg}FMUuuD)p9WcZf6y84
zz@%|-O;+f3+Eh*+s9uRQB8QYL8wV>0kaoNe=)4vd0uyC%{7zFkAm;y2nlur$;P)Bq
z=@VWoB7Js;RTX%89}}-_9bEuGx+{<lo%>bR7KT@@b7bsdWB;PYMC4=Vi9;zof{#Ch
zrwve~o$a4S+bq7X%wZS)?d?>bjwC^xd}r3bCo9ZI9R!b%6A~^15;)%Dk;prgK&x?c
zO%3m9RB^^NAqhOuc)W*E+JU=4mP#UMXqV%E(-%p>?U-&T{S^IQ9|E^5C3A4G6!aC<
z$NX}wV(1B_^4?&G;ZPSkn>Eb{vJZfMltUF1&$6O!eOe?@lEW3_J`^@%c9n+Xy}98|
ziNDrCO8NVF<#DAYcA`#r<Cfo`9PgP{qFGm5oSz?4&9#I+!7~p7%z<a~k3|KSt?g}T
zU!xXyFSH5=WpdpI>bEvnIL5z=mI&xS=nU<r<ihz2Ao2v89iDnO42P&0;0#$uYVuj>
zEGnb`jiajP+XcA8cXAT_P$m*Q=Fx>CDlQ1#Ann&^RqFqNl=-%Zw4Z1^Isfdt@OWq4
z<&4e6#UWS$f4`N6h7x}M*DgpEtkd@Nxgzslc&^~MD9x@}IH`V_$`wpnbm4-q=0a}l
zq<4n?_zdYR2_(IHqIgp*;I)^ejPt$bWdWu&M{S&XL(7;zXU~5NCg^g|Q4meWXGs`U
zy4i`tE99T*g=bhVqCB|hVLEli?Gq;Rch`k^r`n#5&6t#;Zvj`+`mXt>MlzEpJfvI7
zHuirP19U3^g9JojL@CNAjKsWb+vaLBXFt!b+Gs$jnl2L+^}GF(CZ^D0LjKiNnUGWB
zn|s4uG&~<2?QD7+>AZWKM|Sw%WYaQW?n6HnJT1PnTd<J}M<|T7lRy5DKdMs7`=0wx
z*sO<4X`33?EXrC)o9^AN=MF%t8uvId?WD7gFq+<N&xlf1#|_SgDk@z#+zSsAqQW}v
z^R%Q#`ut~+w5ciaCS|vQRw?Yr&W*9_BUT}iAR^BuIxgSraAaa?_(pAR2Dc1iEC+jp
zAqrqk6T5@xK4Xv8p<3iZjS7_OueMOjtVkIhi#N<`e|OBZm{U=55~tMmO}B28b{uC<
zYYcI_|8z9s^eDAB;wR(Pu0x2dumxthvx-Op-t;4}9HOc?UUhEw23kC=fAdAl8uVU_
zw{}Zq|Fym&j}Ql{fUlX0;G($DZ_C8NHjX<#KHgrlMM#lCGeQa9|FLxP#67zE{jNCN
z7ik!Wc_$SUQgJ{yOm8v4MH2b1{*#C1=%kixPN53jd2z0*MK|8an+DLU9^$6cj3B@t
zB;a>=Za1;Jfw5FCMs{a>rQCeUb*BGm$^z+Hv|;`Tw>;}#uP{H7p4Ww**|MrS5KZvB
z<}^rrf+@Q1_hmU>*PPx51@37wIZZ=SpR~*z#GMv}So?YZ;1A@JXzFKzt{xVX%ct~t
zjQ&^01^zV;5s52v>N8;bcIT_3VMd*zXPd}8x*}FBUxkJrEz;U-!o+puK9qWqfrT*U
zYGiu^eP>%m!#e+R8uIsWv*3H%S}8#3PWUv96-E%h7TvwOHcv)G55q(X$Y=!vGTV?2
zZ_tXwLQU1#&W4nKn2(OXohKUCt^FE%7)2{5>ugf|fBb7op9tJP;ar!pc&(L+i|Nqv
zl%a$TUO|uufR;4SjTf%wMYmUa_!tdRd`)IJ6BsaeY<@DL(o@vJ=2*P@?s?ar{;@YW
zABS6l!xD^%#i4yddg|sDv_KTc++Cv8(nsVe(M|!M{3o>q0D?BN9`0oF{K6E7pt6Tw
zh&^gcLerthOQsoBPTfL1@_TH*T9Q2D`kue-m-|vn$p)5iv>=ULN>GwRw<Rh#%y{AP
z9mPQAC<yQ_z(zKhTt=lOf0Ccn&#)pHcs3=!HTTiT?BU0U%$zP!VU)EDj=u@gfKgM-
zD&m}3FG;RF(}xNeIPo!!y~2=>r+K{VkB$$(B~ro7K)46rCw1beYu<uC(_feT4(JHd
zUpzZ_GIc7A@*tVKz}e%Qk-gks<kh>1JG{pL5#^JmJ<+N*P4z1)`nngRC3sB%V)vKE
z;Xxfd>I4DQX1(m#jMFzYc2ug9!&~*PcsnTAsnAFl>_)Hz3KhNfUz<csN$D~|65IT7
zKcH5A;C|U2OL@=F?flFk=5ed#D8hK;t{49eQz`|Gz5y60?T03HKd#Un(;wdNOLM}Z
zS3Xj21mc?qsKgBa*kYdqbk}s!Yb+LUj)>$labCBB&sD>1vJi>TCw33K`itAKx|rY(
zU11T}PR8~~ioVQwg%*($Mj_T9^`@uFJM)O5)N086w~G*&Lo2{4QGs^7lpt(>jO>bq
ztBCIVux0!EBh3BZht1>i;QXmK$vruanq1zMv8Bz+!iSHtsGx)_H0e5E1Ex3k)`6M)
zp0fz8ZIWyMX+c!;^WMCdGu=;|$Ww`jSh;QiQ@&2@DHZtV)AT2@bx#ONqE76Uy&gW;
z2#D@@<n(r@l!BfV9WzL_xcsXklrx$*unYO`vB~%klYecZ9~J%b>{obqI9=w)b;U?A
zE0cu?4|)#kc3JbsjJa*GS9@l#H*`^bh^v0Em$no}&+4Tdw2n>nBrN`Yo*J4fN9yQ_
z1pu}0<nP`&>gY2F27`}UQB_(?eN**ml(6B;C`IO^>gxGC13J3-ED4KX@x9_kzhNw#
zmX}tN@lvBc!`Ybhchty$>;tfLk1TbbIjGe4E-|#Gv()7<PiYC&&?RDcQE4ZkauB0G
z(i?aB>7_JZNZIv4h~$YSy5d={;>A-z2=?AadDAnR?LW-i2ly@R-;B@!=Bma<6=eFL
zm^w{9VHfd-Zuj`n3I|{<WRY^jS}zl?MCY)dB6p#U&fFDbRooXa?-7Z{di;&9WNee3
zH?qIWEccH)T0nkowTMN8X`~wjnJAY?l6B-r=SiX~<SAqg{nQGVP%-xwS$Pb}$XL{M
zVyEtDSswOi+*CwGFSB@b$oOS~tl~QJ_Av6{zeq2I?uevEHU9fa&WXAnE6Az4=nt~3
zvTsFB(eITJ_5~itna9Bsm@(nofkN&4Z+uG+n7qt;B;@mu(kAW}?QY3xKmI%2++xcS
zb2g=N>S9o{gAy^X{!A;@V25FYZ_8At`9M0yj)G3=Fu*aV#KOO}5OM2GNXcnUuz5GH
z@`8%=UZ5Nra?SjsG!QtG^EruE7bTB+@b9fDpeSOp4Y|hj^^^=2T~v>4CeG+N4ii#b
z=P`k~2!PL+eUQ6YecFbX0ieuhs&m_oj5TYe|7xYWBrD$oM5y54(!9e28v0TP1v)lm
z0ltU}EOA3L_Rq!#NOsh+yjJdQv_)dj_u?HYGgwkroZ*S1c$Aa(9`Y?CCNjd)+Z3uO
zgXKjzax!^`4qPb+J@*ao%xCYkD?7IcxqCEE13-AZwpYq8NmF|6@0=q*Sb;l)EI3Zt
zOA8Bk88gFBe#fs-BI(GKVn4}U=Iy5PMt7r|S(`$MIw~BfrLAidWdT{Mtw3&rS>SbD
zgg%+jvwRCBTK@Be3@z)Y{Z47%#mcLpC6=W!KGvc_NaoV*BFxZx$0zk);FFFl?i_+8
zafZRq>^0h42N~>J<8G>eU%5&@>BbNS!0YV9=!Q7Sd~SW~1<R?~nM5M&l;5Xz{6#y9
zciUTH>M0TYqNYOPnfifN!o7f;Xw1mu-|Hk9(o!)j?6T7Lm?=%j>Lv6|o^a2bA5_y4
z&Oq}_Z3DobReP$&n*iV_>~hEo0^2lh`|?S&O7%rUGAQ?tG3y!5y@rRE*VbIAGW;8V
zzBugU5qIMm``3*K6b^d^E}MS75KW+VujHi!8`p`?NV)fTM)$`C@nN9=W-rVcDf4#z
z=c2bj!5De`jfsdz(v^l#_~D(CGl=1$*6|3gL443<=*#>sxc@;-S^nCDuFdcDQV2x;
zv`p|g>U!5AUJ(rF?r?}N1J|adgh%T8w<4<*T3^0u&__lNXyUXM2nE2v{T6^^yVk?u
zAEx%l(^lgHZ3#LNkCKDKDm-FOcvG<#LxVPiNhsX62C6CexBv&rK<AU#xMvD#k2Xbp
z^u2I!cCPNWV5?rs!$~$J?Su`=^>%394p3TSVKUoyQ~hnz*vpZ{B}0ljlna=x6Co3j
z23_HcX=78jp&!x3jIscSn(#SNqON@}#iwt5L1y@-jc>m71|<8IUSA=;+Dj;@sVRl5
zM0&25FVxpigdm#Xwf$LumhZHb<+hgx3qfA+?#LpWmj=!;EcC{RjDbJf0%MvJo|I=$
zd?&7H41Y|Kh|Jz|Hk2f6tl@gHh)r%ia<seCsd#sOs?lnFFKBQtH2LB4)`L^e)>hO+
zpl%;%@0JA-uWg3Cj=N*sEA8+?xVS%^Z=C7fNFo^H@TYJ$Dkfr*m}o@ZFP;}{iBEL-
zYVYvbWg;63HkObba35GAwpVMbz8PJ)I(@hJCq;;MT=RIoA{*#*fa~PFB^<D4!6Q`b
z+lF7QGsNb(f|=MS8hTL@dw;Qoa&4Xw$2IsX8^vJMV5gEISxVYmK&{D8ce%j9Mt3}P
zSOS*skL_muEtHW~R>*Sold;Z}!#821U5e#X8sCjIEuC*5zYl^JKfkS2o56-&e?cW+
z%ze=d725M~TGHELlV{#v(3<6EujQ_#@Ve(k;6aoe|5md3^*gQzLyB<YcpR>(cC8hK
zyAIaWT)UFJLqnsPq+r=eWjY0IxZO7FKoc=K_j7I!V%Mzm)ZBUQ!NYZB#Ts9CX_qbY
zu!saNr=DBoeppAeO=Zv2rm4p5!PvoKaBlFM#7Nb?#h?!_r*CCraa0zCx$f69J0u5^
zy~*JwX@}@O;=#W7P{!6JJc07=1?6E>q*O>){r<(=D+)*ps%*`IGf8%r{HpUSXoklD
z|E@65NJt@ajq5fp31}^R^U0ezYfpjWl=#5HV><6IRM5Zwtf^F*S?!dgu)iiMB&X5g
zSY<pL?;YynNwCM&T>1WdXDsEe4A2y-1nm{79~z|aJD{v;UlWq41x`mX_R<cJd<@!#
zDm8hAPi?nwL?|i~dnbPFj-kz9IhYK6)Z1-JcTPA$r3vYhzb>$sxVuID0%DDz)^R(^
zehBq#(t<8nS;7vU%o#jFuzWCK5Qio+YI)bK1Dk5%l!g^{H5<5pvy{((&F0V9Lb18E
zgd=pjM-S+_C>rQKZC*{~kSRJ~-(mm6?`~cpgw?#LD6X`=tHWC_JZSd&&|Y_*E1&v&
z+ndrj`a*|@^mF(?@k1ixWhx_L8KFW;LNLGy{_x>L?)mOiv-wQ9sf${#4;-j5PH&lc
zn|WvbLpd;JfVDmBv|@u_K>`mP#*+M<c=)!{afZ(g{PTGg6N$!2=&@E)`4NRMuHd!C
z1p%7)er(y2$=do|dg>h;crjJ*Wc50q*%caa8oH+FY{~c);%C{MA0Wt5@C3kceBuyH
zTDNA|5zYoucr5TIw+EyB5|tZf)diU;V!q=S_K$n0UcG%;_!!jVFDYEnk*>)_3;%<b
z*JC7}C@M2y8aw()tQ8EHoO%2hlWcJGNiyw0M+)PoHV{5>g@Pqd45j3+|09R~7@9ot
z`G<LNG&1f9Rj^>0*{g!1VgIg|_&VV<AEU8l=7V`uUIu{axEXo0EoemjJ*8I_ijwi3
zLAXAZjdZ9#MSrs{hUfBTFivSD6J7pQ_$09m4i$Wm7J2^g_cL>sO-TC^UPt{MWbEsl
zDoH%?o*<gPL&B8*zYb~Wg~Mdgn9V^mxD(zg8CE+2II9s1#735-S19f2Pb^Mv*y^^j
zRdRJ}9^yP9dYb*oSq1Vz3D25pCm^$ftcW9ib^zpl%h@0`d1S;2;|{LSF=I{JpcnGx
zd99LqEoF0pig*EDqACwOBsqY*st>Esd27ES1j8e5CI0ed5Ry~#cJD<w%C(;ekIBQ>
zfNwB<q=@cr&_$Wz>)IM&AX@0+K&%bFJke-?%!yFuh*@{D+&q)DH@R<UI&V44O@^{Y
z)07*qZS!F*n;KnlpBc1aKG3^#qcp2gei27<YtYv<eGFN<TDwK+UgCHP)(3>`KxoOV
z*jR8&2}D|;%dsxfAjU#ea#zDKTq)9HnuHy>!KL%qSG{|AJqSeinVySB#n-8cg-cKP
zzf&lAbS_i0>a37p;P(xQ8b<6m4V#zgIvutvxK70q2v*B>fUI1BwAU$wQ+SR-4Ipn;
zfDLx^k_v87_i5O761FrqG>SCKb}bBUXUld1ISt*Tzo%O(Nqmr^2@gUerk6J%lJ)Ly
z@$?NQnlurkaiCWZUXH1NV1zB__TXe0b+LW=iuf2^5BX%+htq4>R6Tg*s0^m&_*CSz
z0@}#8M=77;y+iz20rmrBFuHUXTiFfHgVGjh=pMMq&wNP){QYc9)<9uHKMS556;Rp&
zI#snbJ3ap9nt{eOXKJebnlXE7ZQu4#jKe+fBR1DoLn$OpGAGAcD|uBv1G=TQqzTV?
zSTZ{z;lkDw!_5P(u@sS(^UGK5$5ZF`Yd#NOhAK0Fhd?k$jRu;dJG?^ZjT?1-Rr+Dy
zq8YJ91xH-^M(^=i+DO>3xRSOmNSf}Qo)9RC4oWrLQJO78@nkj7Ue|5tmu_~Zpo=SX
zhA<}OV*VAO6nn|%3+|F>pjmG4n7+rqCwT2pI-)s0!+i(ziRG8uZCM5i=Pu3bv~0EH
zW$aO*<%WJWDx|(yTrkz;R_hhBE}!8?--?J<-6R&x;xvV?D`4=Q0Svqsr;j2!SXsZ$
z3sLJ%Ejfuq_bXQ%Jp2+u#3FowO6EAC&F552_wX72hLGBU6{CFD@M?Xl)+r_dqQ33M
zss>YGO6K~8b>U`T&&JQ4mXl%@2~B~F_0kZrl4jLiiwVdy%oS<}DJ#>E19fc<(ML3+
zlSJoRk%EDChUI>fmk-0>P?KX)OA`O+`rQ>=#Zy5OV9q$T$yIt{E#IUPpQ!DB?<K_6
z=o)@$s(Y$~79<gqG$+OWR?bkX+><uRkP^JB`sUSJd&!;MJ>XN%P4}*gz$a&XujG(&
zbNz}$3b&hv$QAdqn7lWw-HOt166@?N2wJ3FwPOKLNj7z;3Q^ziSHb}=AW$}OUWS(p
zpJn%N(Y7bgIVDJv=Q(*LqsEPW7tY9&-T#RHwwZaUD7cI>A#sz@IiYl46xd+)*2j?k
zaK-29xyB0bu?NN+Nx@@w8EZCn8`vf%61oX~i+uo0m&Jp`83or0vyo!u5Aa~GLGLG|
zN5lGH5#fK!_srF}L5|-q;DNgkGpJqp5%HP?wCS)6_Kt#RkCcRY;6_C)_9w9G_L7E<
zyHCySAe}{xUT)-fp}!*W${>V<JyLc+mVduza5$?TkqK-5c`E2*OU-vP6x!zZ#P~R0
zs1s(jnkpqSOdUx;9AvzhT;q@`d5db%KB1~u5U?XQhI6+zuL-&zM}W39ac@6TC|X1`
z+U*7IeLy;_H3<AqMMvZoC_UF$ugU;=bBy-Ruhz1-JZoEJ-?F~`q%lZ7K8=^bN0`@#
z+^?~b1{uXJJb$_b8e_j`7S$vY%K%Si@<G1~w;oRog-6GN;Juk_UFm0w7qX6<((u9z
zKN7(Io`?preK69ZHHy|F`ME(h4qE-`#@8tr5!}o-spUpyF;X#^T{YznZru$rm9>1I
zEPL^dIKlyKiWt;>?0p$%$<jBN$3s5eJyK3Ca71vuy5?EU>5yCoAQ|C>^;(}4*7X_U
z6Lv>tvhQQ=@{69q?uopPI1jYp#M&eQ$OCKKR}6zkL&}7ynaNM4l5rNl+6q#U`^PgP
z=-bY;e@>yx@qha`;Js;5W->FVTD}2O1Ukkx4IAM-^OV!vx=vu25rT0N&~JZ_nYBve
z0C5d2C6mJVp#83CWMDwVx$#aV^X3O5aKTAyk{cJrjUe19k4hqhcr8f*8hgA$0CzPM
zOI4YOH@9VgFX~f-5sK!Xv*0{Rou})ab%G*va_NNb)}Z(_^k-(c)a2WNg@WGWptZ>J
zPYwKMSAc@%d^en+qC%<SL3#SiIEZkd^@Ks2A^pt_SAa75Lxa}A0qyH#QBo_(+S1LT
z&lOh*!UL3bh};-)o=w!2_#l7@H1X~2m=>w*@W~5}lf<Te=-UuE`;u+`_ER>li0Lb%
zwO&dyy7bP9Gg5HZ{M9Kydp?_kCksYtWo&`0?K$v17XKDFqmt18a65_ufQo2ohJe+3
zs{s7~wQR~HoYNX+t6GGRF(K8X0KV0q<8;@m47$lz{IoPO`KJEgISiO|<PxyGd~kuC
z*?HPAB*@k77Q4+R1VbVq8s~$WutkX(1m8W|;8E`~Xu!?)oPC%70h9CO3hvDCcHk|L
zS<A@mP}_d|sJU<;Q(U+NE(Qg+`T=$)1fKKC?G+lby?{=y<sw49OiR6FK>ZfNO2O;%
zEQVb?hVpRWMlx|WdpujVFY37_=kYI-S&QF!S2zBYUna(ZVV6YjeW*eP*zk$F+VUz3
zV3=)~!(n<a7IN>O62z&O=xS-#Ic^7<_9y5C-#zjCydyln0ln8Ok{ZDY6hV*Cdz1!?
zA0jE;1jO$z>`s*)9_;V$r|{XmxlCZusiT)mqJ&Gs1A1@^z=qs=;xJXB_dbN|o=Kv(
zD<BNtiQ{s)*yvFoEk!Uuj@~`Fu(VWqEt6#VCZxH>g4C{Gn4O&xo97F~UJB~GwmM#k
zHF~$19gALKZfwIkUn3**$rNoHm28r0$h!^q3aJF4R@PKojAI<VwO4%AtQ3lCAv!x2
zb~Ndc1ShyIJ3q%|zhCQs)Op+Pf1KsP*J#q-K(O5-W+k6~DO6U7E%%vChTkltc|BRt
z;&|Ma(V$PJ-H^A&6}28TgaI<J?lKsYSuAfIC~}MUWDf7Zt&wyDwOZSC2+FUm1-dS#
zb9|O#0^u75ztA!8s$yu%jpLMyq?b2@n!VC|4~&G&^r7aWQ(PpIV~tur{`HxT>jSRO
ziMEV7a{Ww<pzy@VSi7fI4EPsO3VSh`OPtQ96(UI~Ly0zSNtr2aJrNqKx5h&qGJV7T
zI?ylg>}VB-DFy{8>D?K+yGJ=+*LTP+ydeOsvoX^)#Tl%if*)y20yhIDvUHrk<9Qe%
zmLx;k%eMZ2ZH1+q-}_i<kUL`<chY9VqoyO?{e1@B!MLV-e?Nr9nh&L)Adft9ShmfI
z%^2%>J=XNZo@q}C6j1LE{j!4erL<HL%Pw()&lHgDiAjm2S5#N=rBXz>*qh<<Mm0u_
z>PDE~m?+d>vKf}1?fl;MpGp7A2mSxQ{QnjBKd*qu10)y-TlDIapMYfo0`Mavp&(xJ
I($M#R0n&7#*8l(j

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_static/images/DataProfilerLogoLightThemeLong.png b/docs/0.10.5/html/_static/images/DataProfilerLogoLightThemeLong.png
new file mode 100644
index 0000000000000000000000000000000000000000..ca86fe167d7197e3bb8ccadce91aaae376f27de8
GIT binary patch
literal 177437
zcmeEuby$>LyDuOrAt0@!N=hr;C@9k1Ae}>Z4~T$(fYLo6(%sz*NF&|I(A@*W5N812
zZ@=H(XYbeZ=ee#8*UUUT&x(89egD=Pg5+hzu`oz5kdTnDB;JWBA|avoAtBwlhjtHf
zhk;87@$taGTvSwELR9pLyuFQyxur1@(z~E&wfpKyYNSFgMiIp*xL<Igc*gi5Z_yY(
z_(;D}evS9;(F<BsLT=4mz1e5M_yxiAngu>1zMq_kz*gj7U&#!jylQ!v+&!~x;gl<n
z6o-MtT~Gei84n?(BR<$m4dh%Lk+kx6DUS#{NI)qq&zz76;!qfDk?wi=zV48C_v!AJ
zd#g>uo0~`qeQGnxm6tV_x?S@0ifBk8FQ4`kF`)WCtU~gM#V|T}hV*ISiw%FlyUbRD
zPoYa}BA-liYzyzPsx4Sz%@xK-$S%E}K}Cx1SnY8@9<=iFR4sWzJoVEHwWLm&{wqqV
zDXLwuNH6j0qzC(-T3eqp2;dmd(X;xw61Q({v0AQN_IX3UcnJx+paBjP@p-kseIeX4
zJqKmL=9Se`$&MC~?#nQR%PKG909@IDlAke#pX_`!=>+FlVC`!K$t$@a$>*v+PX6{)
zyzedsOFpIE>n)b0z)lfMY`gE}PgqoY2Kv8>9XtuByPM4N96|$dA`T+JmC#HiT~fkZ
zyl)ql)bn#=>~Ptli2=rC?2RD~xXM&-CoR9q6-!FG_ks}VvnG>7sGmBq0o5CC#m{f=
zl|9FGSiEPv)GelR?)<Rq%}_R5s23BvI7NJRbSxpmy+d$!JKp;wA~nLG$aK!*7H7=U
zjZ>K?)(<6kpZhtB1@D*m)u6puz)hGbasJBjCXv-yPL&`gdvrURklJk7t~C3JB)H0V
zLRul|`zTnPxTP<rB)qdb7%zg;4x-_9{sKM0b<f}-X7v-YVjsLPOSZd9$PylMhB)UL
z8bPR@Pwv-<pw5&hy$a<x4ki$a6hS||^9)!1!McBr+MCoz2g2BPoO0Y>(%&<y0+#$b
z9}<6fB##7S9Mv3pYLoK|cj?{bf)0`)vyW&6RF2}ly+H-pa;i?uTq^a8507L&)4s(^
zwqqA~gwt-gz)pZImlO)ec?;J_*^3)|<tkGBc8z)_f$4cPkg!L65Pe(Rg1!IprQr<n
z)KN>@-V-x&&5ro$$F^+^X_VL$D1vYi7B$i;2A8p>E(dx)R*S;u^lByfZZ=7J@H#+7
zhgb*nlrcBhTZ2+2e^OLs8N0x98w7uo>~9+e)5O#INZu}MNLO4oft!z8T)e1`?~Kf!
z+bZg@_SGE+%Uw#jGZJSTv6%3p<DA^@tquJR(-(fuSOh_t#5vfHT!JkFv?CZ<4D5cX
ziL^r`?ox>t3(N`%BFTFxaTMjmN*`CD=%>JYwQSLRQVs9ixg+eg0&aFWdnNAL%j&hl
zTj;Y3SwKpfWRUL;;S|t5e$rg!OCg|;*^D=VLKpXyZtt$|69O@x7f&dt{T$iQ$21<C
zl#xl_DQotWzsJyQUwkkBeqsw(G3M6Y`yy04D6&4F7B^dT?K@Qqm+L44BCM`hXSk?O
zpE`c@jeDm0Ne~k3`plC0QILqiS21exuGjXs&%cS8JjMKiVMJ3(F&RAaO!!IQSNtCu
z-|y7;&xqH4ZTfOTA21|OHG<+KBA#X$<=2tgwI;?voE#jJiup6cj8M~W=N0K7{+inn
z$yAV#D4fk_T~E4~#G!5C5phW8%VIL=u)db=63P5~d7TLh!d`bb+ue&@cyLXBG0kA@
zESL%0CH|$f&wGmJDcFc<(>%S$c<NP8d?l8O--}-O5eX%nE#-?;+*^7oWjyDH*toJS
z!y|88WvKDu#l*i+3WTn=3qYhHc#yXcAp^`3ztb-h;?KTHOB8;8q9_m~$M7ur>)2Q5
zm#|2d$l7-{U3^B2rF6UzNv~oeq`IP)W|s_?dY0&xyn}_nDR?45S!mDM>3is>pZ7(D
zM6pN;kNRx9!}><6beMgZqcY;Y@qB}PLyDZ7oRl1xY{!R}?8c|U2Y2dUn;CZ#Xa8O^
zSY0li5K$Rb89Da4?u~~;)-d^6+R+1dT(9R1G2Rj0;g_nhY5a<@S&Sped0GY2sU8|9
zH56|K-iN1iOB9I}Dek7uy=kEE3U2fhQUetUi#KUr6<=aq2;B+r4SZGqDy;?2Z}y%k
zRtibP1M&w{5Bvi#v8o=YaCrV`epLB@MYLJHd7_^Oy!P@L2`|b1=Y!7-pP?ibq{k$r
zBp#$$By!w^TtXHzUF~t$(iCMrHJ{yl+>&A5abUK7wx7k|wv9j?3TTH>wM2H%kMA=^
zpf1kHlT4;zv|-O-!pzW2mp)r|;xapv;a;xz<d>U|tvLj2tMy!Adw1G^oZ@{tz4(2m
z2{!CadUK}w=D5aB%hXNnhQ4)1m_N3NH?5gEh%>GtY-5;^G^m)`s2<&AG9(IAY0fpM
zC~+_7D@ZSh9z$@X0B%KQrD!Q>1)ZF!$e1d%a<EjJuAG8SX-tMzBpR!kp5zIFQ><7k
zbpgPs%TT{`(S)`t>`-huav3tWFq$x@Fqfn?*{8Bf$ree4eE7+e{jh%0WY(Hg79kdc
zSc}+@!tA`FymqH_Kqp!&+7<2)E+>_B_0Jg|Yp}JG^@;dP@s2Pi@=2Zp7=4|><8;-}
ze1aR1b>SYqaOab0iU0~j0ZG9G!OH{3eF9fikN3ylJl?qX9a|i@FKllxAIvRz4F@i;
zkF9EfR6*g5-i`M2?(^2d{7p<vSl-+dZ?{mPc+khd55Tx9?JKIwT@=qd!6?|M=a1Kj
z;wY>6_twoie}4NpEiU|^6diKk3Txwm$z9XCHt0JKO0X9KM?MOmRbUYY?4WtI+N~_v
zL2Xk4YXZC4u>Bhr?%A3;XtkE?W$zvALDAYiMSVKPJ$YvJ%z<k2nMb<kH<Py&V))+-
zzp07M|I*k)t=D|N`>5$fS!X$T&>+HKtW)5VQ&4m#SNNOGu*Y>4Tgg0d9&>F&flsU8
zqTr^)UvX@l3t4vUcIb<_or1DQ?~<Zj`GUT3@S3{}Z7vlr8Fy7FB`HQdFUWDviO;FX
zu^DO|R?Tz@qvZ64o*u57tVbMWK2UsX(Gm8!5giwQOnR;RsEetmUg)PC<S59LE?$Nq
z&e5@S&ggQ<Pvc{LdH$>h<>~%8iMK8ntB0s_kq@IfqbuzL!a^eFkPl*vZ{+Mh*sHDx
z^kH@DL{Bqg<EjOFP-}O&cZJli)%UsC94sEXtl$uQC){GBCN?3Yh#`?Y%&<~o%8~{R
zJ#~nV?&8b3C#}O?p+-S9pC&?pPbl-|?cRa+tM%{aZ{3=Bs;g^Hx64P&?`M%p$I3Rb
zwHbFn9?MBSlWGJ74G{ENCL0R^F7x4Kyk%AWuU3o(%##89E(<e-ZVHFaeOdhjpev~y
zkM-^$HOwI*4%TvY9-D<Wn{SOdjKj>4v9qUKd((X(dv7A%Y=<-u6=|L4Xsde{wl;h#
zg|y+dL^#a5d8!@HHV-9bZ1;G^T4~B^v*>txz4;NW!-%CClkZt=v6UMznm@Xnr&|zT
zzhar;vb<6;Qqf(JtWu&Pv$-|Ktb3y0;CfN9QM}<r+RM!}w`Y=WySOZqmbk&KWm!0J
z?j2&((^sINMQTB2!BB-;MQGzuFX#kc-<_Nv-(j0pC|O*TUGMML396g2xUc}YB<{Xf
z4IF#ES$kr%Q&Z0EX`|Gjbus4E>qQ7}@m{{12mUx)IP;CWQ*eLs{wA>e%C7BcN7})?
z@A_{=ZPKet%APmmEbhg%74-S`1$vXfhWn|;#B;+*D0Q4ayIU@l_%70P!ZnSU1?lYN
z1T2$h+~G^7k!sT&6&0XhUZ<7SA0WAul_Vi=+O^)VWyq#DAVUy9VArE@;lqHxXw&Jr
zefDfs!@{?DaHiB{Yy$sV7qU7sdsut)9;2}CvW_5-c}KJJIBJvI#%OM>{&_v@NVTPa
zxQXa$3g|IM-kN++cjm&l8$X{1>w{H!B{wFE?*`5{?LAp<*$(^=I6(27!fQ?QH14wc
zAZRplDl0`U+)><F_spwxS7*Rz;LM}@lI_&6%^_=5`10}Ds{h=6gAVHw>%B|OgQ274
zezmzGO*r1!P6LbQ>{aG@!TPk$?!>NalbpxZci`0hp}^eme#%5)uxBm1JP+HG#U9v3
z9@4%036Xc2b@`D~v+gukqweD1a|nVG9?F1n-~JNTm(k6p)kWG^_+DG+poKJn6DXQp
zOM{%7=Wb6g(oi1|5JSNGK7~Y!V`Bf|9QK3yawMOT2hHNJW|6B7U*GUzaj-S=;7gTZ
zK<+0r4?pJI_rx=roOTqa!5m&|#Jt{ucT`a4er>{Z#YsQ)v;gp-h@vCLSY5(IMh1xi
zagBy_7a0%f4&n+K@r#5^f^_%h8VN}fne<=Ripcc8+n^vJ1)3wF{%)g*_`Lr4f_Nc%
z|Ngua5rA|b@fRNA^)VIYuh!^&sdxUmzH?ptAiYu&m5@MuDjC`v8(TY=**J=TjXof5
zpxeIFa6m#LqPcz{ODIzBAt9kSm@BJ0s>?|88QNH}=o{G>7_+!q*<O!>B;d-2xU@2M
z)PLe?Wohle=PLN@rUf73`uaBOvnMxA907vQ)MezKh}zg2KjCEIU}1YEgz@Cb69Ic8
z6Fx<;x4*k1{t|p<=ICh4$I9yB;=<y>&SGP4%KCzrmzS08CF{$V%!n4u4sO<t`mW5@
z4pg^;{56i4v4f$#xvitQjrEi3arF&soE!z8J-eRhUq82W8oQeR$4u4^zn6trAnWxL
z))y>ntpB%ej^-x+O}FbOx7}{mbvvEF^<aD|4#xJPHda=~){a8|!Eu3`nf~qJf6#f`
zQQq9u*iv209MRJOu_hsIF1Fvj{_~UnYfp{8_2lOGd(Xc;`CHHHCGg4Fn<MDdzviLP
z3jx;ua_>L4S2T98v2?m_u3~NODD?7om;ZG8cP|0fYq9)IOt(64a~GimLKp(9|57L+
zjCnaQLcc|jB*b1RyCQGRqWh4m#GhPw)J4)_K1J91@D8u?As5y|g(nZSMO4MfsqV$%
z-hbQ@{aAkCVqlHG@fXseiz5NSpxRH|ryqQR-w`}RLks5XufFrlq#gM!l-c*l3pk*W
zD?2+)&Nu6HVnZW0?!1wdJD{@xEy$8nVR(S{#0LrGf8YL>2mh-F|7!;SzqtaD`xwgn
zwjjyr49x<QPU7&NGFPXa!iBQQd=-2g9LmWY<`E$+EiD_OID#B{i_Dc1-wxK&!?De>
zJF+c`*Xcl>L(Elfq+^9TT5%^*d84K&ZYED;1NVJmGD2p~X%j6W(Dg}EP=%8<DgP-?
zgZIT5vapuZa{d?QGP{cd9^EFP<Zxq-%9h+5Y#f|AE=YZ-ReV9&Ym(fRh$sirsd{F$
z3qsP(NBI=oR?{C33iJD>Yl}l=OsvobW9p8>1)&qof+sUdvtB2&1=2IDtNNH6)%H^r
z$W}@vonql7fbpV!3P2STh3E`1BVZfs4ymu8j8WUzaPTi62Mh!lkph4shn2ue0e6iT
zRXRF4l{4FAi9dkVe65x<{iEhR8&gu#KLBV-R28vArN{gFp~l<QizOMx+i{DYJdHf0
z;Z<y59U5s0v~TkOQ4s4AsIfXckub<<B)kkIVeoQ^l$vp9aTL1qs-m`_kmsY@l@CCF
zNVbwGro!1Exumh0<#U;p@@{c-sAz2gvsC3k<xhyF<$Pt8y{dSA-VV>~+4q#*ry48T
z5w*(T;tKKxgK29aYt!v^^XaT&$~NfP_~k^s;9D%Gc4G!ZV}SdB)3ye=U9uIxX~LZ`
zmPu}Pw!9+mX-vhpHutNX^^49a=dUCBo3o|zER3YFomN()(?Tp&$s>)mZWp$j%46G!
z<bHDlvxa&-mi)<>GbLcY{LfazjBx^P2YX6#f-1vqoy@}?S9|z!0t#g%(Jyq#n>e)+
zxvZx4{BVTSryYl7lH+T7Qv^NKtsYF<6>3!#R!&>j)i@V4EZO~Jy7NcQ;q#j(0|bwy
z*0Gt>ll=Ou8;-}4z0Zb0JMci^^92>jdd=Du9AKQ?`0j4u%t;nJil_9F7drDON^9Zm
zdigvP)6dVK?$u$7kj;aaFlEhJ9`f#L1-@;mWzN$aPoaX0Y8KW=xr~gE;k3`B8N=l^
zC^e~w_DWz#ZN0QmbPS7Z;7jW$S-7GbmNx@P4)DCNr)NpYd>!IQzxZ~YV>?lVWi9If
zrd;yx<1{M2_q(1}Gx*=8m4VZK!8}9EtHShe<CL>TkN?Vo)Z<++IIQ*;^n!$et}P$#
z&c}1x%rVGZnT_kXT#UBdr#xS!#x0#7bNHj&VlWv+G9quzX<X;9pMSUhgxu*!0jL}<
z&=~u4UMm9RtYO=@`jp(bwD&lBX{ErAO)HD~qoo&Lfg`%ptLP%eF~gq2+8Ms70W#8p
zZ-&+ZP23V7hjoqt;rGD$tM-%7uN^QC^xdWdiGJbXEID15qo3kH=#0a_tnO;hQyAMH
zg+7rgjC_qUlMUD^2)GrZdkzr>FMZ<~d$EkJMMd3ayjj6APfM%QZl@@&2x7Ex>Uf8@
zeNY==Wj-%Rls>uClkP!A7jSAiV44E#0u=33L<`48tjg-dZ&la~JTK^}3L2>6k=^(O
z>pWx?xbMDjd=e2`Z?x=B{QeY0if4E1P#7Ni2RVw!Jo?(}tIy${OH`Coo`-#rA7cet
zXlPs7OMFT{hSyiIfF4ECh-6E1ZR43ow8y_TkV!C7N($R<cV6USIWZjFjBquZ7kGK-
zNCK?cJMVeVU4MzO>#z=&<Rfo@l=6i2T*RGF&H=YQ*XDIACk#U1jx1gk{W+0G=XxSY
z$fyth>CIP`V9@`f%QV?(%shrE>jG0j2Jf@MHwCiQE@U^iCY^dhGii!!U16x()Bt|{
zHxIH!;i<!rRo%-oayWq5Ix@`dV*e~;m;2ao4%l&aneMO=xtiqAue(OZpE^$UXGZGy
z!G~o@t?6vEsL}KC{H~k@FoL><!>xnv9f7-=y<qKV>|?jaVjbxpA=9RUI<W7b1tc;W
zS)_hR#DKSljnk!xD?^MS&~i%c{Z-h&Cg=ndM;2Q@UV9=v2gF?c>U#NUH4^LdqVwVE
zK+|q%4~xeux}=lI`~S=vWYjZFy}kraB^<Zqr?Hq%H#PcY>cmPFBC@%nn7&vNZ|*w<
zihZuN(s}txU*kOsZBe^jWw`%=T~k{eG(;jiUS%hNcjHB;?m%Mij}*}wCC@pq-HIyx
zz#*$c$;m^6C0s%P^a7OUhg3kFjDc8huPff8K~Z6slUWzJuXq29cjcPDhC!D{6vLS^
z9-7-GL82w%WK~QO-q~{2^ie$#pGfejNbtf8zNsp5Z!c2fk7EqvE%CM<vI4^<HZy*;
zZx%gW7;gfG&Hz%XFn3j;bDeO?-KzyoWmg?e*oEoY(Rw(@W2dHW1J?OxsYt=Y;^`6!
zhu#;RV6hC#B<gT8;n&Y3bv}e?rO+jf(4}%vlN+H6x_N2L+UbxDd&ksAJns5#W)XHO
zPMHFv5~PFxWCkLSDx&K%lXbO;JL@ms9zl+YL2`DzaJl$h;htDl;h+6oxsk|!pxel(
z2{d~PI6zmu-G&n(wd1<))g0^Dab$|*Pc;DFQ48bV;dYp#$VTiDZiX37b<U^U5xClN
z`xW^mxCrY#@J;y9G2R@Y)kEEr)efQErADjg$Ar43FrI|{v(3-r^Y1;jk9leOvDWPL
z|H;a3i1jVKt6HedTRkkxuVWB|cUhS;@DpEUC_NrZBh_J6y=<ZLO|rytqEK@y`4hD7
z&J`B)W5*$@M<1cC5)9DAyn4+2EppN*$ff?u=xzO#%L>e<licNeXS-@%NMk_j-k<36
zLwc!Z_mWAgs@XzSuS=qjF=px6yXM&m)W3|-=~(nxBu0XaXLxi|VyfJS+{Ue?>&v!Z
z4>r;ex{H=I&kJ}GfP`U(Oj6~GuvkHtUZ!KnvD(q6f#=*S7l9}9*n(GEmD7b)8`^>r
z14@5JPF%JRORE|}-{(U}+&_f`agAX{N{MviSC3>$y_bxvo+<s_nW;`oninQuM<-#A
zu|4ShvwbFs_)_4?^}^q%3j+9f0ul&{I?>fQYJrKbZfrXBQ;aP3{h6-f<MN!XrC&)*
zn+8b;Dde#{rlRiBs0k2@HqzN5>>D*T7G08XNgpTe8T7tX7wdHVe048H)TzpH8AgoH
z%56k6=HD)GW5phJXN~w-Zda3ofE<>bGKp2;<T5qQ(mD$KKVpOX>(u3j&LsQp=i<Nx
zOkJL;RMS|<c1Ktx+tmV{mBMVsnI)I>(q<W_>hLE&_gH|ob%>d8+R0l5hLdAQJGbw>
z<E8+T&^EktakkPo2+mwi0@?)y&mE|Rln%yYfw<u1`pXaEf}eB+AaZlSm-#cDM1r00
z0UPhb=~<8~Bq-3PW;sUd5G(%mA4QB8==s_;_9=LRj&5_}ZQBZ)W9ypUs$ABFivimP
zUX=}b=^Hle7Cn)CI^<oRqJmDFW|UV)Zp2xnDck~AGn>j?I`x+`9%#G5lOCoADcx`z
zPp{LH(SVb$?cHO>0Sgxy_;Wx<?0GeK%b$o*WE^v?))R1VcFJm~H=cc50J@g$z+Bd`
zjNCrPj3w)a8bkBY`!pE?oL@crvHzum<)@IvkD!4V6aRBAeK-B6UUl=SPS7f4k?=|7
z!#UC|ucxvWy>Oh}rX(OkbUeFh!Nq8icMa??<)of&o2K=TNUFkkP;SwQ!)G=rPFeAh
zS4zxo-6p~ILJ0=rc=~iFk|y`GmyppS$jREUDxPtX@vuv%a-;~F2pAh*S2}u~R-aE;
ziBk9l4|=ZZ&tNt$|BV-+?+}Nl_3Ew{yq~rNLr*|^?St=ZvM&XrPjpYpvw;PU>#)_Y
z;uLdBafV?v$`X6)WrDz&Ka{8Tuj|B1#UVyC?Eyw?ut_|Dw-8GaWnNNYw@tOQHfStk
z-I8A`rC-Z!3MahHVFCgY4u>3CmcJNiI(JHFoO8X{zl;>3biLY+KOCSFhIRQJvI{8v
zNtWpd5*hXgQ3&U_Q)be4woMf-P-@t1h^3VodTeA;!&#A=QL7Oaq-7Kderox}h8wbB
zna0YkX+94m*(Sa90sEKfCz5kO-m6okR)-XzX@3H2q76r|-mOB@i;I8#rSG4lXvF9b
zxIA=so31X?ZEDvuBlF3n^hvEAdFfmv7zxE69S7XS>cIqv&-g2FDNLSmc6q+kFiS(|
z4)b>S6E=)^$+04dmB_9SwrvNkQ@ENomNcx&x*9J*(nOkO>hIMP)sm${OM@gwZd$#@
zydEo3^{@*unD5^Pvzjw|$=OZIpwL7cFGq{X%)!K(FQeH<Cq5~5cVnFTu*)dTKVaFv
z!Y#dPgg!A_?1na`^1<TzVlHz|5ScMPVYY5$FI}WR5lIa3*h(m^Qo7|gykkHF%&2tm
z^)+qZM?LMMWRz3AW&VRW?u7q=IB)OmVF0(=FW>tV=Rd=}9kt$L{+V3EMJ@>U6;HGq
zdSytajMnx|#{|oQiY5}2uB^cdX??}r%u-pH{v;*_U4sBkZA#)!SZx5QYMyp2Q*wXq
zBfDoY-@V2GS{%Vlc0wBg%UF3TEIKi=T7>YOI-BJWm@L_rd|tx_uco_akE`Z%2RL0K
zRpuiT3anf&HDUuQC$2uxSo$VX^p91)xeRntP@mvM1b5-*!2`e)M9y_ImwNJOv#U7&
z1SC%BR&I|7qSSV#%l&mb*)zbaI~Jl=;HunKk0|B`n8E4lQ=!8$L+h{8*x20;mbz_#
z@addso2H9lsshu;e^P;ZG43He$0}!ZZjVVRyl|@G9QT_A3>B*<T5qs8-y818uk%Z;
zyVHs@(`)zThmw;m?5p%JzFg>pVK{ldm&r|H@eXy1YmIxxwoR8+r&f9Qq=5gb0Y1Ac
z^kNc=7WYq55548?Xg_w7Ue|YcPve>2{}}hwL5Y=fRXR{bxNZCn24M@l<WUth-8mCY
zoNZGUr}xP_O^^w~iVDE^PFEhrb@rm?h)grkS97+J2dqI<;WQFU&J>pYFq;k&_OYD4
zuJm18z(3X+h;i1~eFwauW$;YFmi0Z%E~|9f9~nUoEE+7djqBflI;F9B?995{GVq@)
zpYfZl_l4KLM>0J(d<AOo<k7ySLK|glb7snPtnsRi@>1UF;Cq+bfp+BF6>I%oYiuY$
zd=l*s@<QMD1QRyvL%SQ*o;chKL^(o1%tx+^EWbMEY#`MvU5wVcu@6kEv@5=|#-6Hx
z(7yC_@*%_%%k$IfGAr46YH`d#k+o5XhZaFlYCMYj?#v1Qd_y6Z!&rW1<JGkr5jJ13
zljr^u_0XZRMd+WUYG{zfF}h8cr<aZCq-V_OO61zPy_9!|gwu<sEd8DK-fpUL()m(T
z1O{V=vYP!driU8*CGSaxz4OlV?u<?$ATcjcgpi3#Ut|jT8$=N2lNQ-c<DW&;o10m(
z$qC6P<sm{rEWE^1rTZyYxud>Q37i0~-C|Kwmp>7jSwnND5VWL8K5z2P*_MH)HWA*2
z=VK|y5Onin2^)R4g!asJbzMZosO^?m4$?A`)%hiCKJ<O+F0u9=KaGd9%>{cb5kgUY
z=kNwS)}e?>J+}1FZp%$Ye0`vSCJ88fxgXBD%gh;e?@xqhhel?<_H_O*NRx`XVg0q2
zDBd`I&xm8+ydnp!5A1vG*T|(-J}J~6c$;SP8W|FS>FVJ}aphA$Gqdc<gQ4iFLhA76
zi>^~8=-2XTMniFz^ZJQSm-Gv7^{smmrFner<3rfVpeS~O(?=5x!~v#%3}hl#Xls!3
z!E*Cqj3B$oyRh1&f{vvs14Zr1WSUlRb`cdz73TQ>r%sdAMg4KLq0`4@bFXqr3cq`0
z=Oq#iZ<7k=x#Fu<dpXCo9U4-EBjKx~tzVxZ@{9sp*R7Jyxrz(uw9PMVzRN?<?4?Q@
zZ2>Qy=BqzQ)Kc%<wXR+WNUqRo6i;M&&Y=A{T*6#GiB=V6Wl$4Wt*Y`YNq5B~NouUK
zR-07cjn7KLv78c*`kR*B%=1e`JkGsVA2s@QgW@}&p)EWF9|n(6+=1lP2i=Uob?ZRu
z)lS=#G2hW-x(=611hA&HJu~n}*%1)KbIXv@Lo~ypOXCIP?y0MOqjeHZ<tXz2%Tjoy
z0IkpRW*Ifo)Go<Yjl=4g_dz7cvmcM|?2xccf$D}WgYd2TJJ=J#)LrW{8W7lcGF;2y
zQTc~I5!EU>nahkFF`y{oy(LNHw58XJ*YV|9)k_B6F%O76k^vKQ8;4HqrFLYo#M9{)
z-^4x6iJ8>p;m1WluSz`LBik1@$P|Z`NJC$80at{BEia;4o|)g8&GP<}`ioCVujvBn
zq3jW({iO(mO}wT;J14{`XDb!CZOI=k6R}FN*|%xGsg2`sygfRwIz8A}Wgd9-?M;Zq
z2_i>>OT=yVj=%8mM?z_Mo_aEqR!}updvsXTe<26Wd?b#z{g1lZ?0}|@GBU&KP$pKz
z@mMPHOpK4FWx2-?MT=~lu9`+dCq{s{4R7bQmtE4RO^@ieS+mW9<&s&R%!?0(7G&F-
zmJU7bg@w{-vISbD140$|DO`WKGMnDSAhVL@={YDDC~9YJv4{6+vY?XFHgTIsIEEwe
zp9vd8Mv39zW@D2d?@40$QAf=H)Ssh4Sg#6KL3Y4&-UeH%XUfNDT9b_7!u;+|V}yL*
zFScDGu1bx2EN}$R*7A-gZb8HHSHH?Y@FZcI7}v{W4jwZJhsY^g9*&@YCc#I<<E|$w
zJJpFMzK#Eebq$F-+wj~N%|xhiV*>RAxDql^DVKG4W+trpd5ay|X>fiiPUdE`os*T~
zZtelfC=WwSaa7gJTs8AD%%MoQX$5^}UmLG8dWzg-rbGhRV}JCI(m_J;dY<~d<`wyA
z97{*|1f%wvZ~uwFD(j$@7wpa1SuL|KqXtoxTx{q|oe7qhplQI?INS(nY9R7iaQN=T
z#q|cpRIStI`-xcA2iPRn;r59y|88~qzJN|EY<JFMH+k$;U{~RvpsRx<zP5l$2-r2&
zCx%)FjCoihUTrx?*HmLv(OOz;r6?zgr<LXzA!gcT+vTi?Rux?F(yhVT?Ojs(#YpxV
z!R#WBg9r8%0@}Bm9hMVrFa)Id-&$z#Q{VZE9cy4pp~r5@8ca^G&#E%bS>q3M#79I9
zW5yf49qFV;DlH9oSFH#uSL3eoQVi5J?b4D!QJbNy`K3!A%WNb4IsJm#_h&rU_>~{!
z`L9LE%%tf^IaloKOlIx1FaJ(GyOcHS;kn0v;7RY!Yi#Goe-e0t(CK+CvM*6QpT_sO
zyY%2q89dW|8MX=Gkw_U%8P!=DSS@?MXz)^J>kUg{xUqSY%H^m<g>ygeszB;0sssVP
zhein}!b0V9o0BDmk{DQ^eB8c=MH{oVBjgz`|HOOLzS2A17*#3<Y1k(w%Ca`oNm#y!
zX9-($HXqWl)8RaNr<UKOo>?6RUH*CR3bD)fI{^1u<#zhq;AN?Ps5=-E4#%qlK`B7s
z6@1=i`2Rs4I00kQDpFWMn${ZcGJ9Bt^5{ydXJTN}nL^@nwh}n@c3Py|GxilM3i;|>
z)MG!rmCgeL0xTHS-k(uQ#+9K;-e4iV*!b0pg>?xBmqjTnm7B$)#($K8JW|lpYtLBJ
z&Zg*yx*{5aC<kVirfrN@f99+zHW}Z#_*MI*jEt`*-XY{720C0B;y2*mvkFn}vmqcE
zxtF$Kq@)(!XIe1iy;PPj3U0s1k^`yMY~<!OHhID}PkwG|fci=FP_C6A)etqeZ8E;N
z`~=9qAU8Dl;(k}ypV&(=vae#~%DsE{m@XIq{ShTc^H`jHOMr9x<A=nm7DkMQ$XfZf
zA^8z(6P_tz#2C{bs*_1OA2W~TR&#E1j|0c@HKGB9I>*Ot*!)`=l5rliLMESYa(h0h
zX1bEVvh?Jah7;CP2L4**UsvakH^(D6OauPptOz-)yv5K=8;-E0hJ%noAFbo)EK5E7
zDX7%V<(1IUL(?~g&WVi14b8^jQFs!go_{%y*3Rmoy>|*!YggE`e=K@5PYt-xd<WY#
z6mMlLP&@$lI?5pSc_+*{po5w#Ftvuh2##^zaPGQ4NR|fa5!58jBFyD;mGegA^y_Jj
zU3-bg<ME;0tHirrF-cdCxuoAt+H-%U9fi$}Xb+czJ}pNY!&&2mn+`5^=Z^+Lh*`Z8
z@m2y3W8!Y$sx@ik<R@*srM-u&f_+Xa>3#2?{&N<>ff1F!v1&cAfj1d3lF!uE$4%i;
zRZ^3$JPY=yO8^xp)db8fW6TaMZ|236io<g(_t>n2qt=^xTHi#ITGuZeCA-YQE+peH
z!woEhUfeLm6l3BsS5lIcz!hTaS#GCy(YWYOa%=i)N>1AG<sO{Q0W4~dwSJ7-&rW3j
zwDp?HQiVN^ZC<7=>p9VQHTrAAwvKeO8!D*19PSkGnx&?{;M;`>oK>UryZx}tys-Y|
zIgFA<pT)!A2J~?B^+~33DrJJ5=e5IHSa@8WasR}}N#;m6ID3rsDvvLEStK5lWId%G
zfPF3asYqJ$I_BAGU_DB-E#?K@{E2oFw*Tg)H1}9#qwJIm)3GZ4p736(A48s6(Pd9T
z<<v&&-aEEi0pa;3B%f`guFFO&Cj$W$BnUBeIrz+q{bLS$rjt7Iy#|57)v_#>&TuCF
zF!99Ds?_^l=a&1<8P-U`?TD%JwIIl;J+Q!f&ZI(PW=O_}y~I*o1djWHGK8L;0(_O7
z9+s=^aa_Tg_`<Mb{NOjlxklt`;Z$v>*1317J42tM)TY?C0nLvLHjWehN1_leg8i<f
zOu}%%WNys3N$il0MZ&Q)(MnmH%ZdD`JL6J-Enw`+cjM_AiRhkS^_sZNmC77=+6R57
zv6RHDi(V@HM4zi*LPiE%_|!Nwp3iV&BVUO2MpbGhQ%T$@D%i95)nXhkM@^9;R%$om
zoBOYef&V#oxL~|C@<=(M_03@wSJ0m7JC7dx>80eN{Vu!FFTKV+ZAPxjulckmp3GQ|
z7GdUDb`)V_nl(9IMal}S$A_>sx@M)NrGY-)|83pG7)z@Y_5)3l38Y(p79LY^u9>1$
z=Uh;mF#M1m67ij@iAT<&4CZ+JF7fo(F4Rh2^d(4Ug|jB7T0obq@)}%uU9e8;&8NB&
zd~6KAF0AoaQ#^LgEh^mAl=VJeFL^Kng|8-KwbnI8DmHZWymMQl?g-XweO(3o&;0PZ
zaWfIQtvYIL87_5qwX3%in_g40^bx<U71XxR5NdMW-8rgl38bE9feI7btV_bNtv_5s
zo0GhtlUEKa@uvO5qVOy%p-1^QYPyDj%s+7EVAZucuW4nkhEyE+KhJ;j)QgoZM;duH
zf!QR_-@-{l$fQLBMJ-8!cJ`&(TjJdcA;uILbN1*W3%F-N(cG*7OXVYO$2`dAj!B~-
zvzHR^pV@1=qoObbrrNZ+-AUOLh_^y<0y)2>$JzJGY+>6Y*hQ0V;p`_w2|zfLQZWr8
z+Y<f<&LEgdhmry1;O5~`&t~04@8@u`6QZuph|~|&qCA|oj3?bPXpmVNKfX9P%CZ_M
zPGc2;JINa!QIe44YTI|wT;+VMc|+Zs5g>gng;~~z@Q)Q#`&k386Ox3R?UE4ot(g;a
zI?LLJ`v+0eF;^sqxH?+TcsANUZ*Su<i}T&p7?@Ue2dHteMx7^YGfulyTYJ^S6B*Dk
zT965`D6os16xa^$1R^#jqkCBDwpMQ9r8^HO$3rac8u@s*X78KOLmy7p!&AtgjUdRW
zKQ*g{@2$yy3zVI`*25=X)&?I&x~62BGGsDjj)c+yE;Ycz!4*#}&t8E2f`#c8;T&GE
z5IKy$_H*bJQqRBh>X@Cx{^Cq)nN=Q@V+iVxX^$`NC-OI*%z#_A79EzInV&?J^|k#N
z>)4nnugHJv={AqOop=AK+<wwcf$h0SI)Az{lp&>CuoQSa7X`Xe8$lYjnWV!a>!0s8
zOoLNiuIl}_VZ{Aa^QEgN06Z7$MIc4MDz9FuU3OVK6R~pn#xCZ=Upu6d1oX!!Cy26O
zW?MrvEM{6J5h`KX^<ImWyL&0v+{!u>4`PuvT^&cdT3NoV+WfNVweeVwcHGhC>pLZH
z)r2_I=!s)g%$iz&J2Sk|HaZS{#3!2dr#v*h&ogf4NF~0zrMx*1>3lFEKLm4eb*&y5
zAn;y2{qJiok!jSekfX`q*yryv)H5e!aU1o<3I5veb}YD73IuGmA^c=5OV0BUe+N?E
z^m;edU?@=yGj@m5LfRd(p~HAOS4b+ZOjR59YiBIbzw!rn-ZSskg8q$SuMlPp{ifF4
zB2a$_R2+^;#FVY=vCT=TRc-t8xnx`q&b;fR8=ksLHuuMP)1RDYX?=)2i+{F5V~9G%
z#P%J!&H6@neC1-TYNeoaF^fQso&x8^P&sp1v6kB2V^y@jrCp0e6R))zHA@bw0eWpF
z7!$i_(3*K~xp#{aebc+B&X{#q7>1Wmv>)Df!N)5u`dOu@9x<a!AM@OV{!Blv&`&@_
zU*bc-qph)WVHNGk;11e}j+LoPG%y8zzG;4<aPEh3Mr-oTdr>!`X~NZ4k=0iCu$R3s
ztL8i+x=?4m$*a^>t)%s1Vx?D~YI~lx{wuz2jOlyk##|um{mOjJ7_0OkNBk)lipSvs
zMBAm=r52;PR~56)(_T>@YmQ*;9M_IE5oL$$VSk|W$IGNIDXwkny!;v;6}!0J#K-CN
zZ)=3G^d5imq3LUo-}j~9O?fZypzaCu6NCk9L+C=i&o6To{x5AqFxGb!uQ(*NlOEfx
z@I(HtIx?KLEn@95TOA)l5eh6Q4%vtDx0U^6NpJCsH&^)S=h9ru45Z#PVGTPr-)GP~
z_R6LS@Y48+CE>tc0V-0dfBQ3d;XUWUmk-}-RLzF(Au4TzmPj~A)(+7)0aa$bMX_97
zjoyXXW(Ydt60dmeT2oEbg*rXeT{g68Wa*o<(wu#`;g~MZkgWQ6>O?yo#yaT%>K>gx
z8{=Q;jd$=CF}}%N2NzMCb1geyYA#TUEjvDJ90Zc8)O=~yY5lc?TC6s9lhaU_2`t7}
zr|w(_3B-^pH~c&L?mLHDTqKb1lH~t%h$;kVdC1OOK9BC5e;Ndl^)I+>x@P0+S`~B>
z)Pnbo$?o%CCVD24ijG)}g~O!9i>AI6LYDEqi-&oXbs(X6X8F$Jl6T&uDj>$#{BWEw
zt)*DF35N_kjE9}H<to(=JJ<7KQ&(3AFqYr*457c*{1<vSXg-w8DJ67;{a|odn^M4o
zM+~)Ara8iGoAm=TRLXhIdfte*s}M(jc#P`b&zT%$ikurJ`Z>80aj6$MG^u$?*;PP@
zz>Bxy^1Z}!O~F1f0`n6p!8ZqaHGfyF#kxdNq$59Pe02P(=6>bwMAYlVjN`dDc}JO)
zGM+SMGuph-dE=evIV1-I9Y>!L&GJpnr(P+DldIG~rvSRLtw})def(?Z&FJf@$P7E@
zKi?`l;uu$xqsAukEhH+Qqr+D8RJZeMwRW;CXtm}qDKfzSPlQ+cIMEkJLIi_t7<Ux3
z3tjVC@#ue>xmL4#q(=pWKUj%?x)<H|mg~OW`1G9SI|%5U{8Nsl-AvpI;-WD)_QHdi
ztUB}8h|_#54zl3Q&F<C1+VhUdF|6q&9LvT~r+22Jl`53wO$OlL?hM^J$F7kar2<o|
z+uBx$z^nsS#K)s<v0LGFT5S6RVObQ&@KC)>h&)*Mxp%61diA?~d$7@eq5a~0aSfy*
zc!1G6t#}?i=DB1;z_+to@~2pfL!B3-{bxe~RnT2*kH3<iZ9Mv8VxeOW(<bd&?JA=s
zB4c64JbB%B=GL6T(X0~qOO}|%B{gDPGMYah=?|%P)Rw<1W3UueS65#hH`8g9X{rE1
zg6Ob;2wYj0$IGmC_CxS3NFaAN!R|6|)B+)ZtN}V~QeO)E;`#7O#rik;4Kn9}5DqZ*
zU)FmYn$~c9HTb0A$$HTcXRt(Y0pYE;n`JF-z+PAkK4CbOt%Fm_h27@XzUb)JCC^?P
z4*cx(P6Fj~r#|B%7y;LEzRK&uBqBfuQJol9(;RsyZ6q(yM>U?Xssz;AQDRA^#Y=il
zuevf01;DdF-e*dyh$75cDO0+pZFBEhc|=kv?{3XZd_F8XSb=>=qXfy5v7<CF>j|2%
zC{E~7TuJX^fpr<SpoM?)-v|N0QAGLL8wfy(=i2)N!EV1beFwi7FyX-<ROIS)vMuCs
zla3-d-}jK7-<-uHn+BfSb9knUHECT4;;u6&Y6;y6{I;?>V=uf*w{1$lLo@+}4&Zo`
z!NU%hA+_?<%40>_TB|@)kQ3C;G|8^xkkiXXS^qZ41)(^{IIc>;)95$PrG~VDLLeRs
z)U$VbO5~dg!O_9G&-+#D<^TOGL<6gyZkBrZ2r#c&W&i12!GT+?Uc*E7psboM_LeQl
zmx9LsRbu%Pp<Q!)DN=4jG*HLih76LdwCE0Z9AaztCxLgJvKJOJZyk8g1?b|h%t|-1
z6f{vzQ<9P8YumQK0J4I|BX=cDT-lEGt`S9%RN=cr>=v{Si7mG176+<ZC9O}-d$u*$
zWe_z?YSrDXldNrmECy?3?e7yh|CQ({%k<OxU>w32F>a;Xr-PFyhZP>cB3A{|U0RR7
zV88;RYvbJSq_oMGYkIpP*tWjcdVDg$ubt#_ztFR)nD0AS10`uztiR~faeGOV4`}=`
zm%WOy@LBl<qLAsP(XCk`?xX~szozLGjB#VTIR-E|jv^y)W$!W8=xt)Rhjx_FY{Iuu
zMbG56gCBhNKWVfVavin-`lGQs$1=g=zx@az6u4suzHedH;6L2g|6Sdi<%t+ZOrtuR
zZckM-HpanBp4)c2<oRorX^xI+YMZ0mk$4Iv(Vp8^jd*`Fh<UksFSIqPV<7^lsFLJp
zT=rOI!r5!=60vo}pr+$Aiu1ne+{uGcf5#l>hup1i-71d*sa>oOT{%i^i}M6pZ^2?y
zR$QH*`iM|sS{51tt04D-aTu#*A|Kv*i{BP`2N`~+RgeIrmQ)m%cY6|ajm&p_D!Pqu
zcQ;ALK<>7kNNObNb=lVB?KP?cki%O%_Y^SF`5=ck0Z|0P-V3++yK_S^RfJ+nOLWab
zW|Zj-NjoIw-_OufkAtIC3p=Mlf*#Jsqq!>cd|SnB*vhRlwaVe<x0FL34^f}5D+n*X
zCJl60=|}-ON!hw5EUqKADK41wc2k{wd##V{5+O$Z$726}xDcV;Rc03eunR%a&PCfY
z+V$39A#PljV1=+_(hR3ZZ`kjOSVZc&=p=pg2<^GKMvSKDkXEmTRMCK`I9btjAmeeN
zw5p1`(wJq4ZL%<96dlsXXUD`B9yJ%&+a{%FXPZ~sK6kKrG|?S49cVId8M22W!+$kq
zLEX1ceVuPH5W+7kd?94u0*pE@Ku(iGj?iBfz)j>|6Y!nboFOg;fK)9f-Rgc&Tw_mO
zG<xWLtZGc_dFd;9zsnB2bX3U(pLDG<*cpV-Z8};2R8VZlIZv0YWd-(<Ogcu5wNako
zsCy15NwJ(ZvZJgN240?b%W%&g1rf8nKPRH;#iApTzFqbg^atGQ=XnE2k)?0rZpbLc
zG^u0gS3#JZ>VGjg2@)HneC3H<)LXB&jXNRR*O)FSGtBV2QgjTt&bJXzZB$|A6(?xN
zqz3R}zfUK9TskS-_yL1VR9VWea~YMk0+quJ<uaOn@YAB%S^H7d>Nl`^Zs-LV?2}M^
z%7RL38{p5v5QcHYsmOVos##}KdVLoDc6#umYo~$aOD|8}FNbfOauvlPF6V$7e+`;_
z!L-cnA`Aux4-?EQ-)!F~Gz$sKD3xzGM0q{b&T^If*J}FkA1RLZ5XA7DRAJOvG2YY)
zBAcitc{x-BbybBDn!k^(`C1bo9EbJLcZm)2Lf02_bS>sNbuU3hWn^4E_73K@Faw)4
zwX^zKBYsAcE*nI8Wf{eaCbJqnnb|ORDI^u6+~{;XO4lFHzRFG!ep`>BeP+?ilG&WC
z*g7nVsMK;QaXIoc#JWzJ<58fO)q#*_;477LN-))p3(+IS^^_=a38AM@<_D>GroP$!
z`QVn(2&H#fE}6e0RCFp1_76UX_?z6CYy$0`!035L=BO<AH>xnmjsgwQGH*lp1?@oV
zS_&JrrP(4Mn2j$is-Tj0Tr{ae16Dj^3`StKi%E>B(Un37%ytvlSN=`Iiy@JCAWK_N
zRc$SbnbD?arrWWt-|8k&)IOQrr4VgR5;VJ21w-88Lv8kcU~VO%UNht+>b|bnb!dxg
zpeKkdiXOUM>SgNk_p({f6J^?>EIgo?V(mBOjBFaC18Q57GbY*OH*!Wsb$^vQf;q!(
z+D~RnyeQK_`}R@3OQI#3v4N?*+d%?rWK=I#Nswht;=9PH{MDqmQ`HIT#Pw)sxWK`W
z?p&2T?08N<jMIMqZI;vg=&oa?W$U%i>-Zt}0+ArPAlJQfPK8K<yD;F-V*g5@Z;aPn
ztNGGr#fHF?@svEZiV_fpjf^^la3v-cyYEYTy0+(Opnsuzd@9$-VjtHu)6#dE9CIg1
z34>j(dlAvOb*?sQhh<I-<AZhD=Slcgn2Wi`WUEtBl{+oa`C@}N%fXC=>MxDEqjsG)
z@Ix+c0ZwIPe(``vLxJ$A{6vZ?Se0sCw0qBq?5JVWwdO~lRw@WOCys>>I!NY5THN}X
z+qxmu;jW4K_}n)hr4|?ZWH?WWDMG6*P-3#{^WivtRKJT0U)AgI&28B6V16{QuwHA|
z4v}DQzLgEcD;$9He>-~|E3*0@ATb&PJ{Jz{0s~NeP26INC@|!*Vd^r74)I?`_QAxg
zWF#bKcFlUXNPY8Lv<a9Bos`P~)9!iR_ZmfECCheX1p<U5*HnGYr}ovJH|9^IY2kdh
zc>5RUu2=K|Q+-#w^Z8}fhh2q^-nXw12CmnO;>TbP%&s=-)slbsTNTbUQ%7`r9RZc~
zLOS6tFu>V*VNc)^uW%`+rUjMS55=YPU)>$%RfDYiUi0ni@~Msej)qp7n_J0HIsWbP
zEX4OtX58!>snBk5WD$f9wSXq)CqJ2$D6K!-ZEhBECz{Ll`o?x`i=8OWbz{aDQb``K
zDEV#I{szw-g)|fK4dN4ArT!?&I_ml9kc4<B;&3-#ZQu^U3`Si||H$>$E#lq)TGW|T
zd_;|QEa#+(!*95`*@ai_qw?3SgNED#Kdo#DE&R<-iKBhf`CK7dwLzA&F<6+j*<PZ8
zoB3rF0*Jc23V)w+@hAH&!}JXA=8i6O$T$Y~_LnT)Bp+{8W3KJYkf2zLeLL?o!eIST
zRobIl7ja9qV^MR=)NzwSeU%4}ub?=B^L&bW?AxR7$!kohcB6Fay;Wbd#zLuVniX#&
z?L&ICW|qMyF8VY;^TE{C1DhOk&T)Kg=f`tZi#ut#$7xB?<sP+TThAKCYNEKfHL8;H
z*haLPI&&HGokLF);eLL8(F2|<?0_)g%hTCqxcWsJd-x4Ynmf>xMOh1sLBJZp%?<&K
zsB4Ig1a&Js9;$q<3!Z=8nD%d9Gx41xjLQ?{SJ<Zv-gG}<<GtS2OwB+U9+?Vbwz6vr
zout_eB%D{9Nv+n}*ZU+4IR659?vLdR(5RzoQ3gK%OZy)unN~sP#9DNId~Ck;0V0zq
z8MJ-ot4uC^7e_UAP>m;)rR`kI-Q%ZA)wx{7#@23)ic+nr`tfpknCue%-V*Am3asT#
zU9^eHjYk=*7Z$LCWjG=jd7E{=`h6l+kLvC@>?aq)$$8#k)P>^hu@yFNWVo@3DL9J&
z>c2+(yN3C#M}u`J{A+_k--^XP2_Nm~+Z$c0OAjj3Lhqc`H17n>CY(T5RlA^CX8${+
zCg7MsZ~Ox@Q%Pa6X!XPSQXMlV4`zNgl3Qot>FfK_MS-~YLS`0{)5ij*7F`o($sF^4
zz^|+KUFLknP9~o|et`BcU`AOxh1HqVMG21hZby-}+cKfBeCv!sP6Qh<rFX{-Vfgri
zH7^7O!yLPhHWw2nv=IP%CZ~$zg*2{~@pWx+l-4Xjey9-~N$Af#B~<?F%ip~DnlU0p
zY$s;eI=qT{FC-s^g)mw(U!UV4sDS_R&{$zh#A2ahy|i7hL4^Smx&uSUtu&BOwjW;O
ziD$=~_s^Y<Y^^%2kynS;T9;F7qZ`<UwlyN9Ug<{{Vo%CwaSJR>gB`0~rN$B4{m`w+
zXqCLei!uE`a_=vQokS~j--=uAe%5L3FStC{+<~c$#+=0)Y>A6WT<Z<p-7QraO8NRG
zy6`Z+-|_v%v-r~MRpEL1w+dac-+;`YbyH`nOfFcrYcG(O?7>AHz(<yUfsX|U^b?w2
zl3wG=I~QuWl1MWM=BPG$$+|eaR0=7{H_!G|neL3LMq9FeL43Ff39vR!`pJ_hO(H|f
zUvR;joBNUcum1($u&P>EvyuSRs(0Pj?Q-CuV7x(FkWsrIW_KKZL%1bJ^VNBT4~??R
zAMq8zK|9y(v`vD<Q}D!`i5AN(MG`{&Gr>o-CCt;xB^d_rhtn38(?>mQ;`h&F!9Yfq
zjaa`Gp1%a-D@0JO)_IN&uJCf+g7W)%#p(&>%aA{X?4phV20i_cf1G>1;rDo`cqsFD
z>m-Hy8e15RBFet;-CoH2Hd_;!ZRcfE7at%WxGLnze(N!ttZxLXtz4<DV_A#)2Ztal
z>!8BkY0Wwjkn|LTmXYwqMBgbTgAMUX0d^IOHHg4`hF*8lYI{J7t?3}y2DpmPzgv3P
zB^d|!^&|ZA^IPxJLH8x){drJk`C(CV#$$xsw2|w)+6D+3;yAb|a%9TC()4eqP6&N=
z`RPjOuOqSv*5@Z5xl%lrXaSeK_x#99``d|$q$+CAee@uJPJ;B?P@MUPCxc<ZcZ1&q
zUl2+WXff8h6&vzt*hPNOf;k;hbv07?h}5A@MRT0wW1r3wUIFW{lbrubw$HCU1{O{c
zX)oR)heC)>%cQZROr65%I)BQc)PZGf?VX>a=he|tiHB+@D%uT@kCycT*jonCI%AjL
z-qa~KUToW3wVlHbuW-;EoCfaP?j1<tXKTE5;~`#Mtlj9eyHvqK?6`z|)j)knucKFB
zajx^J+<w!mKcXjw0b6<E4ZBok8Ky-8+k~zJD5F|eU$^z;jjrCl4HltnI{muBhjgNU
zxbW?h#enPlLIO(>U=l)U-c>z-dh}ru0t-%!s<t@b*P873#U~lF(!A|*CY?*T(6t)N
zYMA<W$dH!5&bM};`L%;PK>Xv!*3L?!6SGMJ4u?HfC0eW4Phzmdl}=U0vifQ?7wz*D
z-^{9d4||ICxoE-RTV*cGnTghX=7_J0Qa;sZ5s3PHlb$3{rIG@<7ZKi3EeG^G!C`MC
z7zss?K~HdB<K-+dp^e&BPBF#$`@GX~NE5-Vzyy4gA{eN0WD)K@dwyEH`&-!%4r80R
zShyJG4|xsNB8>5@ENYDyxXfOQ(Jyp9Dk7M6>A^0$&ap-AqpOR*DATMLKC5gvm=E66
zoMGv^uB5J?NuU_({&I#{m{TOmbZS>wf^=B9pRV^6sGwgA3@w&owA!or5(RWaz}{68
z3|RR4_Z%iyGzq!75}fhLM=oF8Cs(f7soe~lwC`cw{y_12lR<{Cm_qZyZAdl+gWF~}
zp;tClzeX$Hf5GUCY<0d=SgG0zavw1}8#Xe$^*{(r7#vAZ#}KBf{cUZm>8yg)d;8mb
z7J)NA!@m`Sk93+N)~wa)#Y++)PQgWtDT<B<dh_jD`KNWVa}v;N2fHSZ4Bs&_`9D;B
z1yodF^S&(I4bmXerGk_+0wNO9NS8E-z#`2`x(H&>EhXI`xim<JbayQcOT+&z_<jHH
zcg`L>N7%df&O7hSGtV>gZrI88<BAhfx$G3<H$5^gclL7q;_u_n?t-N=a~0$sgO<&;
zw?pj>W||#sI})^;EGou5cD6ARm`;4EpStOwZ`T$@SbHmcy!hTAA-SM!<>sn#p+N6p
zv2viqC+XUirO`kd5qR6IaSsGMZ&@b8<)@PT!`;2TcM~ZbixE$d5QUX<?>FZupsck;
zL(|DRI0@A8IBG15r#{zd?muq(1kL`xd9c_NqEK=EzAXxBNS4hN@!ECs<bHz99Kq{x
ztDBL3%vlNcEA7W#gbphvb0T`G+4TbB9xj<bwK^=_BY$Vd+!LWd?sv!zlD%w!kJ{^f
zjAuQX;~l7#Gku_+RDiW*{-=04ytEl3L0g-Ujs!0A7^b~4tStKLikwSZlecF5CnX_1
z{#Ehyi&!Ky0^*GxXs3KK@X!fCm8$nlr5><mV=FqGXAh-qjoetBTeD7eU%pL1P6#i-
zmdzO0i_Y=Qo+JO4xnHBuEqVacq%AuAxF`$FgsRY1j;PdYmDG^BNBAI9kEmK>q5G6O
zYe54|7pd)G72W#duZE?wZ~W-Z9vm0*-0ej}Cbi8FOv6WGmLF<KcE8Uz8>&TBt;U@3
zF4`BQRLwfb)7n=<$H9nx4C5I6^;L5^-wM7Z&s5wMLvml|j$1kw-xz@DwULh~>0ip<
zx&;quv4;8gK3Jx2mNgX?KEV6HaK!RZt8m}4aTw*Fe*CHLm|0Sd81d}#%KKjt1_ez}
zrP0&=y0F<Z)i-1jMxG@2YK)-%MM=gm`12LAe^^wr@!RU#3e!1wZAR_n0I%|YNEJm;
zrqTRp!GvbY(1<~>zLvW>zMkF0$XP7QTE~tR`{Eb2!m-4Ja+=EEQqzWo-``gnsCd@r
z5vr0`M|YULiw|A_6SMwct$VwN2OuC(<r)pEv)k<Gno5go6sqSi`Qw5ZD`R6v=y>ay
z`n{go2sjqocWf(6YDkAO{0nZ#Xi3Mp7mC<&fsS!H?l$^N%U@Xdakt!FcyAinG<sMa
z7G=~7h@P6B1)8C^LE|2Xhm`#SRJBV~_|~U&g2e;ZFv?wLO+h5<sH?u#pP_J(jq>nN
zQF6s^RA*D)bxXAP3Ic(20b0P-Je5^qNfOEGwJ;PT>@J^J7fOlcM0;NsjM!TGWmy-Z
zRv@KsIf#|O#V&M-teb3%UDTu4{m_u?=GS<}clRGY|I<a18h{S}V(q9^XXNZ0vYmY#
zd-S9YL04%ECjcIC;1g*3MZ7*+=mj|<iR8ZmXpU4h<!?+(n)4raJ+WarTe2bVJ|1p3
z#t)!hx=yl8=X^+}UjvQ}sN;n>SGu(bo-KWMTH?QiI=p@QTVAs=5W%J#uPJgfoMPm%
znUl>6fX0+VAJf|@j(d<%T!E#_?B%`pk{ad7LCCIr6w+coQ74T$Md#dR&y@AQrnz9a
zRM4^T|K;SCNQ=2p+_`4cPrcea<+AZcr>3DQ6I2LPWK=VONN-P-Q|zY9<oFw{zWJ>3
zFQon8QQJh{+1xAce}U^^W2!lAl{wP3vX3Y@`z9dWCpf&DcfQ*-_2o{U$S>c)+>&=T
zHBB;37d>!zGk85PptiCY#&<ok&z4vm2DCqf)i(X3lfc-(W2`w1&K5HNG(-jgR|uxo
z5*wKUyCX+E;(#+TJ$E+igR_U0I_dwok`IT8AKbTL5l`;-zyLUervg)fW74_1sggnL
z8PcO%fBPQ`C@65yT{D(=-9=@w7^!MSmyuk{11p&N`5bpt&1&hGH%@|^oDS}UeW8v}
z0{D}?X_`aPAB(=|Q_+e72L`Jp;pp(CQ!a<vsT4s6&y_B&qB;kl2nmaNWOY(u^{@0V
z0D&EmQsWx3>@Fw&)Q(&VK9l-Bz2<2<GAmBe<HO5{$tprFL5=@&975wMI{iRa%4=`i
zORXO@nLcA?e(YuWf8XTb-3CKEl#AKU>-BH{VMc0nk?>&C@@=52kYV!Jjcq5`<*IIi
z+za2)LXzyM<XZHFhop_9taDXkWtE@r-qN^xA|K^g(1Wy6?J7wx1iY&vudsd<P-~2H
zpMx&!Q2(X8NnR5xMfZks2IxT_%t2BBjEu$B(T!KRr_9hX4&SkSc~-UE$V#8Di>Rc(
z0+jzjv)hQ>h&x_@xYpZWAwZchxY!>en4knB{YZ+DlF^2@%H*G`7Lo&0o(fJ4#jeKK
zrW{hUI6wa@s3XDqcU-kS#W^UdwEMz?##cGko&T)HmEq0AHPF}2HD>I06+<XI@1OqT
z(TRNx!)>1mu+>x`N1x-j6%2lrq<ofK!r`i3ICLt|=DOgQtMqzx8)q2z$`Phfi^|X&
zxc^noTo6zB{4um;Q|HlLE&MOC(D3YGI+#}3)H|eCar>dxKHX9x<L@epr@nncRz{OC
zKZf{5ggt<mZas*O5xEC|Zrr2I8c8vpKVHGZKh+)}2q@PKO;>8$aJ)AYuF4ZS&&W%X
zg%Ol{hoavNM0Jub1{V>?$%E>Jb{dK55BrNkT&9k~bHx8>YHOHOSsx6QdeYAoj)Dv%
znkW}f{_@7x%k2kbRSGn8QCgS5H0(tidMECTiL@?YdlHl_%Sn>8<d@ME=0m)3_L;hq
z5$!g&;+Y9>iRAT?*JGu(eXzhE*T^7Ur$#)li0^HK9!}!HjP1f`KC5~`Ta*M3?{doo
zHRfvc<QKIb_0>h_qfD0nQ8ld7wJTuOgFn0Qg{Jowf^aDtbg*5V-LI|>Z$IlEgn+2i
z({4nsD~0z;)qSXxVS%=$WX;$!e#;*-#t?u9+F0WZZI`e11%r;o#uQr~Zujg!mqcx{
z$0_d~<o0Q5G))Q+7YfirQInf(iUPhZ|0@&9+uyv09LIZ$rC9#w;cH$4e4hx4=1c|R
z;p4u31!}{O3`{XSRxy@3yI1I5FtwGXN<jp!!`B2HOZx!fi9*B)vafO}T&Tfow$9_`
zMYF+q?Bm<>J_Zy)8#W^;&yM+ddsK>}-zD!<@WmBGu+1!A<_!V);f1?DQUC#j6}aKv
z7}TAecPoQ#xS>a@POrovWSg=!;Gbgv-XSG~b6EvGKg79ci31aW!$z;jG^VOa%WpqO
zji@+zHJP2;^gmNkH7dyUcu9fF;XE;N6dbnm*oxOE?29>DcJH+JZ}r{mbQ?hJ_|0v!
zraBo$9)uJ-5(be7SXZy!^B4-K9_JcV(hXs+?x6L+W6*vbO^0L0OW~W`1|SHz;@y9S
z9HRNm`>skmDOXp-^J{cbN!1A*`L4Z3x4?f=EAqaba4wBPj!Og?;(gZ4>U*~*R<BY$
zkShZ*XaqDKM1D1<#$Eh$%|xmTG*11T-vQ0zp5~#?Q1uAdvLm}yPt{es=YLg?l04=f
zO0GXRQ6tyH3iNt<6}BT>Rz0!KirONi|1S2c@g0DLL}vh+;HT`_I1kd$M)UMM0Hf}3
z%rz<OL^*sdQ}R3fLTdQ#9k=Dy5!C<qfd#N->w7T;WVd$*SAG6_x8GKiyR7~*D2-GP
z0N5}zawPdMH?!If96q~RMqBwtaD`-L+ChH=KM`n{bFz_asqnE%m<t?v>qC{$<#@J9
zv7rz)DTx>-kK!u)y~qM+(t4KvnO>L5#?=f-aJ$|<Vz#<LS||%^JYmy`ESvp$;0Hy!
z&W5)G!bt8~Y4~*0l<R+-o9LJ3^~1ohDZG-L$+`O83#r4~C#r5NW=-k)KX?4prq8iI
z-ZEdY#WOri$Hq4P58v>`$^^cSgB+eldAN*nr6Fzp3!v-VRw=<XtoePE!`lnCq|=B6
zKEJa?IayiRq`!I3GtBNJ?#56McoG=w1Q>UDG%F^6Lkegt6MeDewrC-jJsoXcgIJMj
zGyT76X>4p`%jBhJ+YD*mTN(ZD0zym@g2>|HC1r6&bw%db%b<UYF`$lYl7}PmndW-g
z8aVuT6ivBkV|l)aw^o<`j-*-Z(&uxX2;TJJ%`e0GMzHDaqbDLc1^veci|^K<cM+Ex
zvHTM{*QrsSIS8&?>K7or!A@%8HDEm;wHQ+vXP@4XAu?^)@TP3oW^-bPu%ER^+!fxp
zxN%?w1i%*-2eDv9Td#=4Glyx+_*=fV6CHk$;&#UU&vzLI!jVvzo|g7j%lOF~$Fpcr
zKlRYk!0J6`3S0jfclARZUdNsG|MaWF4ThDi{iJ|%4N_eCT7bjLR>fF)3OL|o{Qvwn
z$X_LLfmUzztcr^uDGAxi8PByBntPMGXq+(B6Klty{zsg=yQ2;r{eSbNi2ww%V$ll<
zzW)08Sg<POU)x<h2+Uh7nM%82>+0nmG5YTvCU7MAk&|7`eOM4X9=)pupJ|V_z;<<`
z+}-AvuT)u~_KZ2)aGOy0`n%zcmR#Y2#g@IorNrkd9~Lxi376}$lVr~>j>D)&Cz1_<
zzIQdjfCC5|fydVIq#s7^*gxsekA|QGZvBBty{bX#?|P03C+|#`ia(E`e`sJF`u}5T
zf2jw1`B^u=PUTATN4`f3RN3XxWQyMg3Jes_I6FpDWcC6UWrhPe7l4J~t>U9x<%@e}
zS4cxsfIYUxQ^eEv8%?lEtkyfFNJGw9V@lB8k;V>7=gd6GG0rottj$rYdYjPUiRM|C
z4)1mE)Z8^92}u0E>>?Qc**x>E5&q(GDvAPr+w4XLsnyzwgH|Z#_$+Z&%&t;!7?n6D
zyuNL30G8x7gUAzo(Czkp)O?`LGx;3fVJf%X8WZ^|AWha%JN)_kpB@sxmjH8fq;dB<
z40oVkw3<lHG)JPWDOAcUIV|IBfEvh0B6U*lM2`M88)Lz@BbIJiG<N#NYps+2;9(&W
z9*)7JLQXWT<Nj6bh8${T1Pk#0cFn&5h?p9Zm?Wg1*7?sQFA25<(Sb_C5$19saNOGe
zIp;u12v>J#y4OMMo>F|-YzDx{0dJY)GMOv<E-*IR;s4K3*yU2;xYLE*zX4vIwUjEQ
zIhtpW%DF8-4Ujr~qW#t=auboQ^}U;`4%*w6$|}WIab<6{3hNP5WAwhK3rbOss(35A
z{=soa@?Y8oYo|3$NwzH_Zi#EgEWP-nBVF7`XwnY?#IJr%-(eK2;c`NtPj%DZ$Mh~u
z-`*P0`dbKF`5`cMAX&A+$ZgYi%^rN$h*S?kSc)pTZ2RC@->Hibb!4}KhFM&#xLv2A
zMsh;w=ycGjh4GBIX4E)EVXr<kLFqj%<%VH$!j)QeeyGC^j%9j=3|9g-;db>RskL9<
zsJ@PNk<nFDrcw-j+R|cx>gz<2TX*Co|8>5jS8>9U;#d1OU<PUC_=hI2uIU_M*^&lD
z2m4nQVAJjK@CpCYf5GfFlsx+B&(e1VZhhKoZ0%S4JI+l0FySZq?G^E{#!n=Y_I&y=
zz+bigz2^}HG64QfRdpCvy(lO0t5Lkd@^Eq-EviyXq1D0v<60^9s^<NKwrRk-GA$Ty
z&H&J+&pLix=W)m-H2YyGn}W~il9i<=e1JuD{OKJ*faMw|<r~3sa=AsaR@?J&2C2}*
zbDK~OJF0nS{@MPVd9KHKq~1ng&hd)s&b9BXeqU>zqu}i7mt6wv<Lqj@(<@xy9vfY-
z$1QC{4Lo>RM(?`p2hi`hR6@ev<rR_h+MVA><)imjaV$69Mc8C0dzbuXwPih=u=u4W
z$2xgk7)GJx2ppktQ~z$E`2?UbdZ}(NbM)C?<;R&Gzp9gJ%-II~Aq{~zpm7Wrc*=*O
zBDshzveR_VTB-eaaZwRvg=;po<V(}hy>~ZyS1&apom$+XmC>d!{8V730)${$)dWbZ
zGpM2LIMABw<~_)P7W^1@Txj`WZ+KkT$A7!OurcF_yRzcjg~B|<gn9}koZ_9M`mnP-
z{-nYu`;4g;o4oNuW!=ohkpavkzGp+Kwdr|tec4NTDI&gJW8?BwuzraPO(gGsVqY<$
zozg{MnGviPd<)^EVsOSio+NX1i{0c-s*~>5{)oBtn@vEspmXQAR^Bf>kK#$5li8-r
z1enq$iYjFnbIRhm!ELbq=(G8rN0m0U_%SmPTh49fime_rk_DkKbvtC`=Bev{0;TtT
zCn5k8*B>C@69J)zX(Dt*tpr&BW^=$69Ay@97kcT&Dkv_O(60giHO>*J?36dI`B?mO
zwv9bZ)xo-WZf^V7;mcq;^nwhQ7gqc9W)6p5mI)Z2*q!ycMw{Ow9{2ZW$sMnr>k}7r
zSc|eE!^3i|mFoA+szBv(DW+@)KGl<6vVZchbYjzDi2R);)aL!;t6r%7SuV*QPIvh@
zOHUhx`7_4=;dE!gIDz<A?Fd4#_0%pc9iy}MUZJ^5GaYovfBRb+Ijq1Ow$=&c4{@w^
zCM5nOr7Y(A%lDc#Z`^xvB)k?w$*~d_Q-O<@+MUN<*a+o<=P&Ohyl`B99~5+at&>7)
zW!at(>S)}UspuMQU`6Q#7dh>IxHBkVJPNeFK?um^>wls$kb$v*82yXX+I=X|aJZ!Z
zGhPytNy<!>dfoF9smE2k+)d6(Z5BcJ2$AXQ&_5)laF_FXs3gZI`?cXdD!OdCzsS_?
z@C6rvW}TYpALo7@-3K;Q0W2dEcHPbNRY~MZ<QpbBv?-d?X{Tw6Z`%r>&&VGRVW;(D
z&>u>8HHu6(P!u1YR^mJpYK<-0n1IHnI;;^UR2C;gmP~fZ!8;!;0*isnDL&&De45@~
zSA_*hTLJl8#Z|&Hs+(gjJXGHyQa8&oe2%RcIKKZWZs#f23X)#gUTk3LsCIL{C|7Hd
zKkF)~^lSa9pv?=rJZQ;&6?d@hZTGJxTo;Fov*pvpNd}E(XV|r!_Q8Vs@71$)5F^dK
zL;;XIzS*bW7VDP^GZXO(s;XtlDWf##Dn36jfmOfZbN1romga4jQI2twR?vEihd@vE
z(X)CyX_D=CfvZ#7d59atGTgQ=9$y*u0myv=)F`uDZ<bzh0ox1^Xh-#94d=_lQbq$_
z<Y8W1v(yt!Z6a*?{j#e15egg;YVf@KTjpjd6Ff}a&DW8v1PJdM1L>he%96Ee78?3g
z-K^s0A{SR(my;snYeGuFy0nXE;RPWz7vxp!js&LIky~VV^*qH8uD|s@^R#pzac+|}
z2BqMt!+u|Yh<?Vk$_3Y+U82hGi~Ui*jlo&G8@bKD+E0G-wYBJ}gWvsb<Sin^pQhLZ
z-Ax}pRr);qoCl0<#lZY@TYe#Xrg~(iVZ^ZX#I8I;czsEJy326#3xi}nm5#f5P$jpf
zNIOC&|AXwx&oJIeCu{4@YwEx|eg%?D@n2C$mcHXmhXDm1AbCsVHFknV!x}T8LY(lh
z8!$fjwG$!GH><R4&aTkNJ3UTm9l{aKj!@Sv!mO+t#<*ZKG5$Lt@us!OcdF7tbc<=h
z3OWMaW#7>P$R8;YP@T??r58L%W3yrDe*5eLw$&M${-GkZUglHWKLAF#VsA^sscr03
zEA;o#eljM+-s9me$9AofIm3xJDmx<xh2fd*68dQx<b-~T?6;0jt3rdjTjK&`&blK?
zZK0)~h5g!T0C_jrw&=}x!}v)%X2?J%J|gZ=ux*Td6y>iI5FS43`1hAHcSZrdC}Lt_
zCJe;hIEgp;^NzXH5`w2<Rl?>gKod=g{b}F=7gjCJ@M`&h+q3L8PI_BK*8JaH7JocS
zR4RyZ#;W{=KJDJWj``x}O~}%7#VOE!cV-J@mSSKo7ohd*JPz;BRXWbNG0tp3@$9M!
zeTAl-cI)h_#BltoXC?WCp=YvL^`aZjmU3Ui^yX-j$}%ET5&n3gNWh`q@KVh=YLQwF
z=F4G4nYqmu=C1Wa+&&M-D#maFW3!B24K56qu_z1a7->``2R9X`V9s)#pAD{!6HBGW
zpmTGq<_OZI`mC0_c(UP-9*!D8*Q!ji>D6h3INz)|iNDZ)@|Oep)|+0l!bg1k&?5q9
z+a`y`uybP<Bw$YYT^R0*L)|$?*$dTlK}js)x=vAe^-M&C5-06V@5r!@zBWcixCsUM
z2p!-A9bZoVQJh4GY*{kpQ)*oJ?$AJ;I30B&V|fC<VMq)|qfI!B0G&USgc4UjOokEL
zUN!k<l%r8it1&@g@Ry-^XFF@9)52AmJXKJhrCwIeY0o&^@4klCjHByaQ-ahuE0+(n
z)Cv+2O@xKwKxc~ksGRRbW7jQi@s~2j8qXO`Ve6K>L7+2YB1Oi}#`C@oHR}6s+oG3>
z-ZtyMnF?Wl5kK|eWo;_I&c1Ei7WoC2=$X>f?b*O!o5}NeqMMBUBJyY{E90)K=cbfl
z7pBFynP8M%RPlGkh?TiPrg$G=_dEzp>&SeFc9;C>%xDlkMs^Gcw^rEWYm8gR>2v`}
zR-y&j)ddx*;8{OqTq)mN!3Z^hX8;CFU5<hhaz?Y??;?*)+cYZt@V(h{r|is#mK)*-
zS+r=YC5LHvt2lpMlmLcC5I%t{FLp))QL9eml)P<5O#XE9X<sUZQG37I_EvTF!JRBS
zfuWKkChgny%Bjyv7E84S<Y|1kOj1%RU)QOa&h6K|Fzv2!C=P^)%Z{IDo^TcdBLu}K
zm?ULEk06l#a?-}FRpoA#_(Prf<6(E4HMZ$C55J&Uy|xS?LQ38lyT7qV6rOS2m0CX0
zkE{xQA3$ac2mv<9Nn7qRP@itIIQd<l#05M=Rb=HyP`oeW-^PC~-#~Py%MGR!UAYQt
z*&es2_!&BtmDt|(cQ9k)*)8~Sz$th-zG$Y(b;HAEf}k_xFzeR|Gt-}wM1^$5gR0HR
z_%vQ=9Zi|^Cr}0p8=7A%@hc@?)Bp)e11Qta_54q8Zq^Tt2K$RZ5p=)=M{z%5`}}hF
zlcG!g(fX9tRVL0wk5}=>Gy{~av&&u_CB~_=>D*@xg0=K^u&^nHhkD;OU>v+^m)e7T
z0awyPd1MNRMwBUrfr%4Nih}#xe-51GxW28zecnm7U62*rr`KXecmgPmeDZ3n9gnV*
z#b&B{Eeg5;HKO8v?Deb-8<0#8;=3NuB2IekM@LonQf!14_p6MHU();tT;1v}tg(~1
z+5T8Z(;Rg!Y$xL2yw~0Q(ZYhRXC>gRy`ia|!4}_MZMA(ptNr&!lEOB{@2>$}DKD`4
z>|u|b(4E<?9?q+LQWm*kjY5#JcOZ#a`^3g8PRE(GDY;63XG>d*1n)>umOB{x@1_GO
zQKgNNT!9mg8{*3VH|s~>)DBqs^`0}g?L&>u7hi|8_&3I)eJHx0^yvgT=%5Smcfe$W
zQHa!#!HHzV2JyIv&!<K8wkmQ=uKQiUq=fYLNr*oADE}A%)Rzvf^j8E5(-_}XkLI?(
ze(7D!iH0Q5Q_&!&5_a`%*9Oi(K>RSep6!z8;MVq*H|_AwGP6RLy}{m#1Jiz~R((&?
z5e%H;Cd718-N)NCWvJ`WIW%EF>0H@b6#B=$GUL(j@GJ0$?x@301|}5V(FL80bMIr*
zH{@B{fJ&;>@P1#%_YhG9n{oVOtGD&9Xgx~uPhv@Mz7AiTZa`h}2Z#emIH_*-B0^^w
zoR*r@5^Z})4lVU#uwQ!|HB!mq0WU0uox&6W6_p#kr4ux`HT>pEHt5PNZ>B2<1!6=Q
z+V3;V)sA?fzz6)ZDhKq1tb3zeFvnInOe$a4c6d^lva2>qz#62T!xyd5VQkoG8K#w+
zB8tvoi^k;7IPSlP^a|L(Tzqw$qs)x&Mq>b#qjD%K`iK48Yah+Ws)MQlKEV^(&hfy2
z2@5oU+`E!kh5^qzi*7BzU=ue(J1<AVvZ9)6O>0JRgspf*XU)7l0T`c33!S_9ZRFxO
z<Ty^<6?_)F^eXz|;XR&Tz?YAe=S1Zd)*L7R2g>?ENLG{We+8i5l?+E={wm*h{^}i^
z=~P**;7<8^5I6%ZgO6ULY&rBb;5n_C_&HbBn-zg~o`+O8z-V?;i;W0<Q$OUHK|h+>
zgQAJb5*7`Dd>)?(;nbpIpn~dI8@<|E>0i%sv95NE0?<hW1eUmOJG@iQZ(5`rGX3{$
zmG(B+^vnh4V(CHfdo*q;cma-5blDs+1?PQv%GfNe=wh2s2@E>A&8T<CVjMkRVfcg-
zP8iky`bfVtk)YbN*k%7Q&X)9v7qo>eh$|r8YMl;6VpwIqq}+JtB@J*ag|`BKO?IyO
zs%BA;k=M@VC3|m%&dyA?K%MsY7<-A0?92Z1mp);RhC|oDnc7@=+6Cu*K&Ms%jAS+6
z3iF@lbFRaftO-n&acVU9DT}-Z{Mcj(jb43!m*cw5IU&kuvf-7d+(rf1I0*c<9G8UQ
zwQlKHE!jgaY}3R5mR5LfF|Ii{FO8J^0}do@3;jb8`w7!>{Z9i`TUn$oIqnt(zJdg?
z^oq}%%kETDY)?CWGFanM(HUo;c>Kzs@%k5-uuTpak)q(Z-_BcH4Q<eO{=WFIP4l0}
ztb@Srq3-OCuXTs^32=gcHnPTxtL<yG>5zew-`<)ddQUexUcgGcw@qmkIq+rmC4s>^
zI4N@^Xown^_geVRyq5uo*8Q=G4}FOuQCmf@ogrXIVE!F2NJ2Ap+f@gEFiE6}s!zv$
z%q%A<DMtGYph+A2uW}FA+JvUOe<3o}VRPqg*PvZg=oA?^t%n4gs*AWd%(9kUBImcE
zDW&&|WKxi<4$hv@U|mS~33PQrogaiHpwrlZR)QP3eg8##!te9QT;MF1SNofvbQJKV
z8+|*(q)n@++n%O=Hn-U2!zCNVJ$HlZaNd!jP!J+SSBWed3t<z)(#&tKYobw5nY^aW
zC6ODOZUR6&08Jd7M)?FyS(OACR0?GBOc~F}KIQ#V<<uLKf&IQRsE};~#^oew7O1FC
zwN*N#2b{C{+ob7ZSGdsZyIG*8-z^{L*{eOiysO6VLEwmu4L!~5DU0z_U{<;R4Z;d)
z;TMZ!G(A=3QRoJR$l9vrM(MK*m#2(Ml<g9>Lq`|e67|c45G=%14K}kaX4sDrZJCC9
zC2Ms)X@C5ss;~fS)F?ntprd-jz-ePYn1KK*60!ZO?K*NP97id3s*LX0K!C%f$0a(H
zkF!tX9kCG>3m%xsTM`Hfs_gJGj@#WKm1$Q0J~>}E^8-2~4Ub7xx*rTkg>&qaBVMKP
zZ)5#|e8c9i1G52C2{$ioW53@=OA1{k!#8{BKNG88_V!MZ^p2M+W#Hn<4k8uZZbj{B
zop?jT(g|I`2ufgl_Mo1|>9VsqsJ2cC+XWG$^B*FR5yfw|oHY0COR<|x?=U_jt=Tw^
z4hO%4X<vH769h7s-{!idWc{6vi<;!ik8X5JYj$iYPyd+q6a;Rvid*Cavgh>mODsG(
zu0}7p3wr8Vu1PD^ZY;)PXArp1dJJ8Di_w3o%yD{&TuFau(3lJE4&hmpX(uIlG)zi9
zT01>Rn)@kSfi$!oq40u_x`3z~8P_F<ig&*uv~+jhTXDVRy5G)bl47~-HRz{hQ1l`5
zW11J*=_~yMb4$L^A&j~1S66Z_hOt$4hfGtzmm;Qn&`fvwvfKLh@thp`4*3QzIzk+r
zZZ79LO0sFWsw`4iHcfZDb`xMTV1^-}Ghw(GpZShpI@f9JOWawumL#)G@+)gSyUtwc
zyiGFXA70Q*mzU5)8Te*xZpCC&=ZKCn1G67>Doq3QkhPo%ezF)&uysH004InBDCx}t
z#CY`oc*%ADvH<{7JBNv4!}iOXMMVCR*8qHRQJ)<AHA!-wNCvy*P^&`(s>)f(nI@47
z^kF5JDUs{2&t?`+k=(Z3T|G2OslC>AE?Bg@a-CO}(7t$OS0C@I=bU9$^D(Uq{q)sT
zU`I9}5whfLyt(Z3u&uB!NeQ)a3NnY{K1F=rw=yuz+&=Kt)?;5=i{a7NuHHG{nyot?
zb&-^AHjs|~N311EdCK>`Sd<CBvbdzu(fu>n5376)Xw1ie#_V*fG1qhL6%!Q9D7uUe
zPtVpXCDO$iHlF#LWty$obC7P6#AXE>XBKyuE7pQPf{E`-11u1++T`!h6R6<gFhE^j
zN+SBu1|ojGyxFaPhz7zoontZ$!F%+}pX(7wG#&Nh&j?%){}bNS#b5peeZSao)>8?>
z4s=jroN0*B+AU4c(8ycS$y!J%r9iCkNVL+rlbeP&H5ap0$MsdUxfckXKOXg3BRS`8
zbGbW(!`ZA4rOe3*wA-jP4bW%4sOZYj*|Rksx(O`53dLKU+;DB^b@xAHG!Ce%KU{t}
zhzco)L<~n3$y%5HVgx;41YN242WUQ%9bfatXqGTc`v4Mnx%{JQE(EUbjp!<21l45o
zU|Dzx1`)i|S9NjV9Qcu$yzs6k9OkwA&UY%~<95O`c+a9WUWcN=HcHAD<4F|ngta{5
zt4#=S+<kV@8^5b#n9acu12GZG?F;f64Z7nO4gwFyC%ci^Z6p61qKL)av40jB!um;P
z)znw{H;+Zalc?u?3C9=Q%X3UejG1cqAPqG<YI`F*509tN40VA-|4FE=(LGzPTn{5n
zPGW0O$i}^5kLOtZ(kCs%$79MB3<hGj=rK(OyH;QDHugU!rxR|7KU*0<ha5+);zxEf
zUATWWQhY9j_B@pr?KG{~H_}P=bU#z38f{b_Q50D0=iyVG`@@S8%~f>@y}V8l=V`ps
z56^C)_(oGkpNITPoAaTPp{RJY)<Rr}qKR%vUTWplSB=dDrW?VRhKWKqEeV*s^+!XL
zMfHeD$;z+CI%vqx0$wKEpifoWuDSIH7(CWc=as69dCsuJooPN{zk`m_utun#5Betm
zjFNwp_-5WAQ{%@+N31<TGxtvPNamV9QZ~<189}yOI3PWBL0hhupgemyDYP2aMncuf
zby2rnY)gTdlr#*=!?G^Y??xtsA>M>CsxCPDSbHrWVZjDiB2SDSXXqjC<t1|?p|LT3
z+FBWF&$rjqodo<@+XE_*eA1^)O|L>_ypc<PMoVTZfXT-%`*u&v{JvF{5042b=5gww
z*Y+c?x64VNrpLX$MSZe&XALPiD|D~7JJr8AE||#%4zJ)!Nr?vB>+WSv`sk|knT40u
z<?*xc1ko6~6G!P6#$E!C9by0ljJF`nA1hSK7bFmWA$Pr=*}6<t(9g%R_B+lI^Ek0`
zfyX(FX<Gyf?k}7YP{*raAV&=OiT$g9J>J^mET@3|OTl{z6yo*IQueAYT(1p0;u9_t
zo!@<B=zrH3GdoD;$y|)`4Tk#uu|?Tzsrn`e+x|;k!#xp{p##AxDY~wgNK?p=&SN%o
z$TXk~YW_{z(D$J++o$g&WW1c$VxmWx8OAU%{xwM3we@NdJ}=rmC$YZcuzER@U>slb
zAZ`Nu30@=eQF202Z@Yoe@3f^Kn0NMYG0pF=2`Brv=u&8`O!F6pFoD5maKE_rEY%CI
z-|<}M$!6c;*Nd@2{jrYFA=$6P=47;==i`U3o^OZsiu@X;iWHJ2+mtpTfSx_>lpsPU
z#*#B3Aj>JhlB>NhE@s6L@T=e+8al9jtkFh;Rt+E67~|J}kv5Z%e4gv6VCxY<5LBE3
z>;Q%J_Rl?#Lw6Yo+_W`@AY0;blD4z^%L1W=?oz-E5b>|4DAaFnxR%2r<0=XjuW<Vb
z<p@4{<CZ#I<!N+NuO|x**l@Y}(`b}UT$VEL$L$~4C&^<BFMtd6z6*Q)H0MtE_0;AG
zN8bKhm(e&Y37_+gY$x1+>Yxel3f_OK|KO1XWP$#C&b|<yuHgcnbFnhFHoV;pjF=G9
zRy~|*4u$E`pL?0-+L0ob99W6Fs{<!SoiwOhQ8lwzd&-T4k^R!bT3H{leke;h$V~)x
z|1oxu6ETR&1H8rxZB+IMw#lt%S|ajvOEzd_G=<99|KwihL}bN98C2SCB^&hut(-zM
z`F=UYRgpcj=Dv8O3*(a~8#jjq)KDoH$v6i2g}}0GB*)d8Kk*}BJ~zpcH<%vIy<J8p
zi<`-U^HkhNtnSvKWo3)7GVoFYH-oTz|8^^p<3m0E;P-DQwST9TC9m7Rymm9cV5Lz3
z30Zdih2Zl3o?jsJU6-9|G;#dYZ>;p+`1c1JkHCHGCQD>WB7W-6kFAYDf%wroKRF=z
zKtgOz-CL4)Y3pEB_*d-Ry+bD^w!d}s$~@PanwRL2H~!YC**QAWv7UJaSS{7uJhoh2
z5AwW$0B}HLLi4<3OIQB7U*-hW17~tTnARkla{DH5AoN9=5U4CNakf?xb)lk2%>g84
ztRUThlU9=c5$Sw?Ki!jD&kU(H-_l$U{t<<E?j^<R51)$^?I_IJu|Z9N$b_%jPv~PV
zT?wCK8FXeU<f9larUhfxJtAfO7;6}JW|&=2G1^!KyXvi-y+%~+-U|>R;N<|WeD`vd
zYNRfyot-$TH+b@S_~zi9ZR^ehmk`yp7*^6N;@h;a9@)qrdXr5sOh%Wa0k=1H&4L^*
zG4{<ys!9v6D4U$3=Pp%zxVMaozM7N&oKXpIf@pc4u@UXRC(}9057gX20(HrhB_!V9
zQ<vvgTH3u;Z)&C2O$&GW1-0gT?5^AZ{~67dfoKLBpndpq#Mw#7XrObOc|?iEK|vYr
z)$V`Oit%}vcgw&b-q;5R!B4QX9A<`tA0!QG06Rb1YDF(2R`ULH)sDg8r}V4QCu-kY
z-7hfLgLpp??7D;&?|gQ{1dcf>ool#0cA7@TaOsW<xwS3Q0)UH(Zu|M{P+^vUb%s<g
z?!STFn#NVpzhBT@T6jb~{}C$GJv6h9v7Yw+GyGCZ=`)Um4`_nHn?h1XL`7Ib(;aAk
zwU7G$Xz341uBksIhKLfUvaxwS2_v@_aM$NvAs>52xpMK)0tSsKBWO!!J7{5iQU{!m
zNNp&e3>%Z``?wxZI_O=l0A#y2Xo9lNDuH!HZ`#yt+8L$3CmS-Y$r?Rwci!d<_TRAy
zTNr=M3k+A#zic1)9yNL}P&*x373$*rnO`LTFy`%8Z+ulPO)PN6WFxtbfyc3u@%a!e
zs0rY9X)9R%v)v<8?ukw(UO9OsSGu<wm6?T47CfeN$0M^1oh#IzLS}@44zzJjN%U&E
zQk@LXA?t|Xhi>@ZO^7d%sJ6Ng(;snbH`1M`j@4w{mXYK{Dot%HDFI`_152ow((P~F
z<K$LHDl=xew3il|65#lfEb~Na0nw5DqyHq%6d1@0i?-_Yz^5p)NCnIUJkXkz6q=?|
z^otrP{o=<K7%YQRPn_yrsw2}E)C1?qv(7oYEXHb{>oV&cR<U;Na^pRtZMWhaeay9G
z?&Z?iM|3^AMXgJyQqXPHtHG3Cbi1sY;rHf@lkT0Vjo@S*d{*+`rI}E;W?L4IOpzvo
zGN*b?F6x4RXr#%z><L&|89c?cqV7nEph>j)^VwabD(U_}wS$vb2O2N4Mx2xHl0NFA
zST7d5)zMhGbLRipaDW8`QQYV6^X=OGhr0;>b;NUtBz*#cnkZhS42!#@y4rS?(#RA&
zIPJPVOWlk@LTx?5@k-j%9rD){CnSn}tv+&2_>3pIN;=t}jNH1lfhq76`z7daQGe69
z>kB$iQ5&VqEKYSX0lGF7mnyKOwm8)F2fJkTkynolxrc9`jF~2_{8<g1aOCl(c$~_t
zPy=2wL_Y`!$-XvDKzyC3w<PC&>PIOg>x**6Zy{lU64>rsj~0>Sh!Yp{RlKCn3Q;4b
zv0oj@5F?H)g8K6o4QM?mCdN4==u}{IyWIO8VAjoeB6V80`x+~}wE9c4yMLX+KE|Yh
zy7k{Wati_ro)?BK5$vbgj3?4Nf$T>rQYYp0{BY3_AS9XmUBwtOeH5Y<kv1IB2S38y
zaS7P*_0*PEx$2(?ZC~!ooN$|UjQy#F;bNF#$wKxIe+J&Wu%7K_el>JcS}W*N9o~xu
z?mgLfOX#^bIO?W|Q*alvmLD|6a0(<tsp_h#$5+;WG)2E?g!tzYY`!aA740Nsk_-~V
z;@}?$Xk=D#>|{6F?WO$27jh}S%!oCiC9=n|IK^b4lVNHawUu8Qr2yELOTU7=K&<?B
zi+ErSZ2jdrc+Sm1kV0immJvxZFTTSYsVcP|r3XanXN+fTOjC$x<(!-iUGvAweoQy0
z)fCNZDL-3mEnbKlQ64gU96-gJLQygHVgx9DEdp*n{Fe+N25KuGbM1k}3xDv4v_hQZ
z;4#+JXf7tf=MuWBr-4@llEL-3%@QB`M`zHeU-SmSF%~e31crPiEUW-$=$|r{?(?Tb
zU+~G5IYEM6@md*m6`qHbG1wTr!@<4xJNEtgzq+)$fSW4O*CePc+>JKiMv@PAF*XbO
zMOHKZ1N0sY&_IYK0)(f83Qx6Wzp`xUD&kEK8c&%6-*ZpZU%q<pflJQa-wxoSH0Xvp
z<ZCOWS64JT@O4Tafnb5<{Y?G(jB7H5fqQnt<B%CK%<m0rfqZN094l&_TuevtkrMsp
z=^)6;g8z&ilW~|Xy{GXd&+<=_E-7<WPx&-y^Uy}S?|fh<f>e7BS8lviwl6pp<R0u3
z!nRxoW$Ld0wDgvEK7o)rWv?Yb7t)Vc)vj*zy8g0rQJjcCnCnR11oxqz(6W<fcUJk|
z%ljK_030q182H8GnrhlA8yS|=(|nLgMD0t9lCv3NaGB(d^`2qbDl!(bw$F)`LJlPu
z{>p@}y3X_Xxh@6^EMS^WhRRh8{mh)vP@NfMNfH~}V~my-Q_5k<x%qfk>qY<Ei93_P
z(5jb2g9ZoZo*}7ZaHlVkwBR$D>rrfx-ayT#`Qab83D4M<$*|_w*j*I>|DSQrdz*`n
zOOf~m;u4W|sL-?zX8uz-VKqH9ZZ0vatJHJ6I?QBz)tT$jrNwzySi}?SzB@6j{6e3%
z>vmPX>-V}saWSi7P^T!L3Wr<=zz({EU$3#B>^r5^EeXj8F+`KcOZ#KI@^+@(@?0AG
z$~KDkRGi6x_^aMU^`g}3N~Dfd?&Tt3n;kZ-LF&Tj7e-od+ajGFhgsvj6$@BpP;I)S
zKqqe7>Fae-)S>d!%Ac|Pg_S?=M|5S@pn+uutzQx4D)((xQ+m$n8VYbyVGWo>_*f(A
zf{b9;=Xth2_$e)G9}+Q8=hzc09G*`x*)gW|%Tb+M`yaZ!_}qwcw#2CAMX@JuYn5hS
z+jj4}2Ad=z4)si6+4Kd~m_m`q!Sv90BrM4npC-*LTgKBeO6clpz)dryc^d8b{JB)L
zs?1pRQ&Xx^*iyxBtb@Y%;y)Ta($5z=iUg#(FZ6M#zMPN|O7{iqiR<;ads$SVEFVXv
zNLja1ev@OX8K-YRA0lL0b}~3AC$BO4z^`N9s2U1;aQ&_RjJE3gd|mfh+`|3g)|J17
zSeJI%#6>JgBDs=x;Trf^PxOd&gEb)Ws%Sge!FZ<dK3&DLY2W9!DUlJBM4H+(;*i9~
z#odOt{JiB`O`x0FfDfae4g_@AHWD7m%orjgJl{v@;D&vvj-VuJ2)&@e!oSH?_oeRM
z#uK>@#Mc=jHT^;Sijv`91@{xe5CG0Nl0<1ZAE$Wl+L|kYKSQhQ^}viOH!HrMmm!!;
zvR$hpK3boC)@c`4gpOobIJG|dG8O(kQk;?DV^4_Y(}CZ+5<sB#!(VXo;LCUkS&O#3
z5PlAe<4mH8l0%D^GkK;N(_Y}Eoj+;cK`ApHQ8t&hrq#d}cIJqe?)3KM_^!FfeGAFX
zF~%cNy^3Od9M>m-SD$6pknu&NtXbm~kFdfsa0F~rFaowFu$MZw6f@m&EN%7B3XzTJ
z@vv9Q?!T53Cw^DC)yb@S6Gkv`{KvOOJ6&uzZK`E6&r6i!B{wo@MmOSc?*!1A2nF0^
z4o)MQD!@hW_#b9|eFLYwz62eI0hnLFJKtpw<MEMMGo<W0V^MJH&iV%a0)8ZeEZOr^
z4WOnLWfAo7t|0%;uZ{-<it7i(*tv&qur7Y+E;zHV&KG=Sk@})ur&=(1h+FR=4oahR
zlAz%Z;CAnh(k(<!la>tXH>Q!T49F+^MEoHIhP%v96rG7<ijK4If)&o`Ya9e}Q^ROr
z&CC`#$S`fej`V}%<L1buDm3XxM?i|bagYy7^zGh7oH?UHu%_rIUg~b~dm@zYnF4)2
zkfZK0o$jO6H~Z2a^hdhOu74`Tft--m%Jc=+VIQzRXJP=#)YT<T&-|a^tHGyvFEEyS
z<==!@G|p`I)344vlm(|4o+!YbugLGxAW$zu?um}s8*h0{z#B>~j2TF4zK_`F(syNK
z+!_7h9(N$0tr@!K{ds>zOef)DjTI@`Y92;EnvzIbA^@CwF&;e`Q*EMYoeq9^MY_C1
zL;!EYp|w~X%hi{rXyXh#8vO>4H1AatfFEa^?tnpUiDEyR4g6YXV5U@%cPU`=r&s=v
zLd~_O=O6403!Fx)#(hs1*za<LGp;!QbTxcU_yfZedu&VZWDn^VnM><tGrK|FI0wpD
z^&Vp)+|mmh9J{uiRFPMVT3Fs$o(#)Ek&@bJQk($*;%3I$GhE_g%GUf<srr+9F2oy8
zJ;q%b&P7@C<f0UYF-7|;jPBIv%p>wd*7~$C@(Tcb51l#1wE@J&%*-qcrk%n6`NhOW
zyJU<{k40#FXNkb9P}|9RjezMq^$_yCoi8bv>|cE&l|pJFnNWK}7lNMsy6UP@DCDI6
zL>RkV|E|C#gpA9(a0B0%_^vUS&m@=jlx3wUQtvCy9~U?B<qt1L^o~ESKYl3DKeCUj
z+kRB|gy!5B?aV3kBi1rYYUKmIoY}>kg7xqeb$}t!OlYJf+qLM-A`VmR*RPU2KWiu>
ztvl*;X1BOdAvwMu!`CoAcZGIf-dV&X@QrIRXq<ZakdjRo4cAU~*f-KVz=qbC7=OPg
zsE+3S$?2f2dtfp|x2T0tK=T=~Ov~3;6eqWErac?o26P#x&|7a*V@073*~L#o**|(h
zzS5HryemL`&A!}~Xp>73?)Dq~KoBc@Re}K9!x+uY9Ah?}4&@AG`NX_^ppP4H$G0}m
zjTkr;V1B@9r6s{j^|82dT89RvKZjrO;)92Ts|?jSG#uWL{=;Q&iTsmlaN+6IqS7~E
z5!J`Plx=Ik;K|5`&%9pv0R=8lBG<5~p{I-ZlD|l=25`-r_w!8hA243Ra6R}fOh1Fr
zM*m3vP-09&JD>Q^SpZIf1BV9r^Wm#z8!@w<Bx?G^J9Pkm((xu9xLPxD>i*MgOCLAk
zD0ADNC8PZvVnaPiM-lB_`$P*I?A3S&gpqViPC?$dGA)HQFp`8Y(L}rjev_WYwLB-;
z&fh6`tEI0t+;&Kbs7VI6OyN@LQIxXQt=YHm#*%a#18018VAvAA_YmhD$}-~%L;TfJ
zyp(o~U8Pgg{k92I;;}WU6HLa^ow&<~>&f8v@=a!Bo=pV!aT9vqn}<o2srT>}s`&H7
z98-AT^eo#yX|*D8a<_8dEc#bghe}nUt<Q{v{5dxU53ok;!hB?SJsRIe&g8k>W&IuO
ze3>ByMgg%<^1AG5-SflsOohN1rv84?>Um+V$hm&TBa%i+4Q1>)K|d6a@A~b(PPo};
zFq`c(r2$BwrvEiWy~O#iHd(hu^(TL<R+dID0?!3e7RSe*5h43A!TLDS_pDSGG0821
zGdnNKBI}t#WE(I&Ktp_{%$mzDIvc)nwXV&TG2P&Kh`rbA(pGiy)RDFR;Gs0p^?n(K
zy;w(I>JsrA`T!ZcXGnAjv26z0z7Uy(w6QnBWQ2J<B#%XCGixaiq&s1<rv~)=1L>Pe
zj9S8Lk42UT3%n-9et_CI{#r*2m$3#r>z1@TmV1|_Z%@DyfiI-{S*9RALM7><a@qdr
z4f!3p0{rx3dt`QQF}Hhesozj|Q{mMcY$*38>ru`VMgBYoDjSX49h)i(Dyi=s?7oMo
zmP@PKAj_Cmn-VqPAs(nvdeHqhE67yygT!(=5rJb6fwy}TBxx;3o7<-Xxmo*iH1vr>
zYRiGFOQz(Hs>>IcNH|eEp8u>bJowF+jJ0sK8ZQcgjC1^7Rav8ZXGDP-#R&a*0gpq*
zOCt8Ssr$_^kx$}{4A2&8_8O`K!A|_NA1bL<1QGjZ+S15d>tbv?0Sok8J<3q?`ayu(
zT^ZBfr6AoGv=>*w5Fqs2kCKz}qJCwRy``3E>x6lo`fm=$NqJB*bdiQ55#yO>(_xbv
zcT%2kZSh6*v!}s_&W1B@f+h1O5}*AH`mamzq3ykhgxzF5aP4X^ej5`Zo;6l!SjC0?
zc>@FUY)JX`KAxuvfl9(xM`iYfb_#GZvsZCrd|r+X<@(ppZby<bDbp7lgr6VEF=LXL
z2fC%X#@vTymPG>uM(Z;NTdu{Dn72SGn8n_kX`dyc?&*cJ5(q5TJOndQr~1V$)k#J(
zK)B&cqD}!dgWW1UUoxYmZbXQ#`{F6A^Y;}xC8d37s}JgoebFsoohy-^$Ta=1F^6pq
zWkSO2_|*Pfsgs8BhO&e<O;ZwIF0t^KCo=Zr$>lvucdUMxj4ntS;Ix0(56Zi+!r;Q9
zV^_Lf>hIS)`r4OXV_gr6MKC3a^leww_CEf{O933wdh$K-dhqDYgUYR*`Vzw-p4zC#
zth&1m{x3O@p4-b>3>xucd;s!{&nq3IO%W3LU8Z0nFYx1ndbuBRto@p<KFI*5T1;kP
z6w)U`eDu=t3hP%vs9zso4@pc;2#~DS(1aU1zVJ8TEl3%|8#idzWPQnN8GZ6oFkS(P
z-eD^|@)^?=?J02=Br;YbOPt_p&OZ^w#&$ko^cmxBkO37{bLD_4^Gp6pnrd!!K7d@2
z1VjuiBQy~~v#9m9Bg#l~#;aLaI#h8UbK(X!t!Z+|!s#@sH}ya{a=RtZF{3?eW|+eF
z8*V-Eli{+`(EHD;me#>-DsA!6J_8=fWnLfruv|oVryn)wJ;f}bn!!>n`~TEdKbrkb
zk3H+IpJCPK-!FpJ8zfcFZOY7CXz8`BW`HkG#6W@x;QNBmRb2#L=Gn%6`Z#!q8Ga#y
zPN02_@m`ue=;?rqWY-7Qz+_b!465Fs3_~YFK-6)*{;RFIB=(C8c>5Vvk5oA`qon_y
zZyAm$HcrzQ@}uU=#IhzUK5A|{yz2YS8&l`vJ#y%hSRAef#i-W(j5~x(*)pz%`T@$N
zr=$<HO{Pv{I`hoPr96Q=a{jH6;Ma%(Bh%cRrF3Cy`%}O?CsOegx;I;ly8#1-y7|TA
zWW!rYfD{z}K~-OP@V#S1S^9>qs#pj9<N;gAjNr+nkE6m{=?l@d*uuRoF4=$7t~E8v
z@Z2igPeTy?xy16>mTQ%s(q(Jq_E^^K?vkQJJ5^_1)$!Ll5$M=3HyS`6Gx|0i)|xH5
zj;_{3GVlMOJ~@%*J{C-Kmf&0UcWeVtP982w1^I}u2GSt(nmB;3|G~EZ%+BENO;@_I
zJQ&bwLeq7jM%~LnraG@^;XxdTT74oNPxLnZ8>aNCTrRhyd=13`9}&S0=eSV8(c5e3
zPG(|=J?hME;HxjX7&%DMgaMS0%6W6|(=qYKlyAqnKTJ(;Otycsc7I*;V`K=9RQ%lN
z1=o?yy@Y`Ac;z<j7sVaEUVf_s)G!)q>gH~{i|hEM&Drr@!fZBPTZ6>bSYD0@{l}j?
zI)tsS!}(v%CBOVv+W_nMoydeQ33hYrBcfj7B-n&FtmJa{k)Q}@7(N*+zhh_CgYOxe
zy?a@!Ys$l3co6nkkKGu^_1S5=qMhMHLE4}%=7-cTUYIv?40JR#C^O+acti|Xh;$I!
z>y?9??(7gN;QUk&H{vU-PF2Pf{{bl&=K>Siasm-SAO{eVXTM3Jil8)KTxFqodI7t`
zayNMAi?pk9RWh2dusiB9S!eF3Y*Xbay$NCG*Cv6NUxCdD16F3xpwpR{>jRr>3Ys2S
z37*#LUWt=uM6)NYSatN3!F9aB2N>)2o8k@}*_CSPBKk6)a}ywkO%P(qFZxeJcNM0$
zhb~w8S+K8#!LcL6+^0n>>LmJH$c=IPq9c*IiLbh`>;uamzq)~sRQtv!R3<PmM|{c4
zyz?9*khdcJuyusIqJUt|kbjz0N9mxhEhUV(@xXNb)c2man`YC-kIoQOF(y<@S3%qy
zwHjL_=~ST-2dJb;gi-Qn&l^eRuUf;H>iU;l^ZP?IIre1ZpE2HOWy%~Y>QSWAGlaa`
zi=DlUCprCGC23Lgf_&AbMTbd9VaV96qCeF?MplBdB-Ok9=b!<$c{{Nk%Ls7qY1n)9
zbod!&^;I7CYWhE3V*E70=5AY*>HP8lW&bLyE{?(r6z{33&)xRQF=+N)_~*~Bo~}CF
zHx2ni`&X^l>Zh}-OAl3BoE&&2+SU5!QCyd`)@=qxs-z^K!UTtsM4IfI<JZc@5%$|)
zuWWlSZ!1HgPw(jf#{~j&Y~Vf2PBT9bNqo!szrk9#Td7i0(l|cBNvYp17gLP0jrgS#
zvlu+d?iCW?K`>tPgSLLucoM7Wzpg*bto-S@_MC+Tl0`D_gC^N{O0s;z=!dCj>|>Jt
z01{wADI2YoA$FyX=ecwWTE6tnQNuhA-LTxz`*G;mSxxt&>eK6()FDcl!f;IwYJNC|
z$Lohz>Rg})YJQ-)>_xBIbY`s}qdpksg7^;^F33fRVv9ZXKoEgO+B*fT-CA-e)4;OV
zq#0JkSEU710%ny@#u1gV<_R_dDSvwLs}g=qxE=OD*Jn+WRI~3q04XAzpuInVeZrZ_
z%l7e_jG5}A8O|Xj_f`68JqAU32{8AY@P>d>jIN~5et8V~%TH{?ZmAKxM8|C^iOItY
z8HjuhbiExxPjNe;C4@1hI`S@=Cfj+hMzl3|U2_Y5&5FGK^gPuD?ZZv6`11EiW9f(>
z&5<c|an&2D1D{YCXEb_gZR23?%HP~}--kWfH<TDJp0htraXMof>R{@Z8!#4%I!SM|
zQm~M7k}4{o5r_g5@6;z~>y{DpTociO1aR}hfMS?pNQq3$&zkdf!xL>R@$Gi31lbKq
zDGYP=UH&BHhHRc=O$yOwd{q}gN%ucrJXXvJgkW>3bMZSiPJadp7yO>o+U2nSsQ!mm
z1OlXXu49D9ZM>ZG;E6uQeeC~_uD1Y+I_$p3>5@i}P6=snk?vAj>F$!0l7^K=N)hQ2
z=@gJIK|;Dwy1TpiKa0Na`<>s+-`Ux56xaPcb<aKbockPe^9uDQ#{Vn3Vo;0G6(^`x
z9wwHA%Q$ak=uHu}@H!A(zvdVpMfT_+7NivPbNaHNm)9b`=PLOmHcba)2rnB)a{jYA
z7;xu>*-+P`0<Ir&Q#oOnAwG|53t*boq#n?yjp1P-6Meqe$(imCIancV?4>{q!&@I(
zt&b6HS22)Gg<RH<IKBB=J`g;MNTVw?%<&!Um=pSzs}la0EIKu)&lMF7qqvE0AbI8{
zMgDUAY7e#OE|WUfhl{je)t`Hs3T}~o*&An-*=g?2OoD=F_RLX&?J?b;#;#Ax?Qe+@
z`S$qx-Q$+*O`ijKT%cB;?RUEb;{Q`VK!!i<tGzN@9YDf$XtBR?tDia>)5G>Wb5+Rt
zd+-4M)iXY3Xxi!>4VEz<A(626{+4i17`jkETeTv2_F$HG$PXKFaik8qj4Bf$?l)(J
z#i2chlhPSakj_0#=(>_=;w6Ycp^zLYe^Hi(NkiU9*8^)ggw5;w5cp(`T4caKPb3qa
zfBV&h>zVX`;vC}uzN<Zxa6)fRlId=O`aSJfKu3qH)G*uMktstD_kA2VyDAalmASu!
z>-kI__?2(?yomx;{{&+<$cjF$92Oa#IQE(xRyGHDIujeE!a+0r{4DVu>Wo$WfnwW~
zIa0+uRafW?_tj37{)*uv;h9XHf590ST7p&<zngPse%I&s?05DVZ|AicWNpxj26hTJ
z5`fD`h&edCe_cdqwQm$iDAk@nCcd6T9CDICfE;?ev=X;de$A~VX}8FqzKnorPtsIC
zXcppNjzb$wg)>y@4IH#-ucw}a4yx?x#z@k*9xC-{vb+^n3V{rfkrwF7)!@{Ae1i2M
ziTIghwjovi;x$|tO2)T{W?J=n%kS4WBl}C+Y0jJMh@?&AD2e0xPTBbIcvjT#O|mJ7
z`~ng)@nVd^#|C)fZz<FdQ;&9H9AucTQ3h*81NTlI3NSiSeS}=3RXLkb<RnZQUy~2@
zsa)r|C)D;K*S9iGn#GGQzcqP5CMZbk5VGO(knL|a4Kj*4#+DK{wS<g2#mLDKo}B6z
zddg8)3PU2yy7#&qfDgjqupU@d60($q8M1snd~;l`Kz=-Jk+LMc$8eV%-e0MF^uP|S
z%_cMOjM&H1ElHCNjEe9Y04!eiYTS5v58zMljtvecVj8*25y!87)R=N@ikG@WE>)R=
z;Y7DHXv`z5yTbFu9cl+djpe&~yn1p9N4;M#aX9N|J`Fp^n~B3E6$(!4j@o%LrEb8R
zGO2T)fiTdC;h6a0WDePNi6NGWiua@ESK_z~4enpXWYJV0jE9^Z>WZh~3<*y3xA5Mi
zRXx?w?_fVRe~QxUK{rdf-|d8Z^o>Ds$2%xY*TMmJO=iZ9bo*@xNxRI?G&~<Y^NaQW
z<k-j0Tf9Q#1@u;V?eA=G&V5tTR&D)uJx>&J*_54y(}?LGflvhf1ZQ};Pw!FGVp&%}
z()Ue>{4o|6bvMV=1;PeVXzMbP1}%o+EK{f$Awd3lt=h!(n6H5V`%5G3Ji6m+Ytnb^
z*N(06^vfR|2;Kd73CcwR5#Jh=PgQ*Ldw|wxaboID6n9CuY;&Vk``p!}*_m!R;`wD^
zhMVNWcfrbBLhQpm)8;X#G#E2@?!>>EP|@umox}E+9`sT&&R;WO=$iz-sZ`LV{5d_j
zrQiiy*HilCnE`F5qyaCQxghdKHD4Nd`EhBpYOm*Am6OxemAM}9BuTy~8cLy(S_>5t
z8i>%Uev^~oJ3kXK=&a1G;y_?LLh0n;=uS!E__r8(U*nEO!lyeWzbV~|?Zfv>9CsNg
ziB`IDB#+Ilr5uR(c(3n~@R!jYpx0f{EU<#ePTXWR`Fdm2`J!fOJ`VbY9(YR0;}P~S
z>la8A)y}pHi}QACU;Zi(_wO*Ga(fktpZ|~seHzO=SCWq@M+Fn!bNlLT*GRjWW{;lL
z`Edan{hE!GXJS3)yItQ`7f8&`SY~*EX&w?NB3^rl+GG-020$kRk4GF0CwiTLy3k2Q
zgDA?^gecL*5!8=9IKM9#Q!QrUlGd>G5RxPacc_gv=f|P|D>lYHWqusY<HYiqB{_`C
zK|W$SMU-roAsLQ<k96=may_bFqg@JBgsf0(+}zw}rR2Ye4!o!0b-Croo;JT2e`YZ(
zJf%p^le5F{S*VY`tn!}lXvCkFM<jjp6T@33g;M^4&-3EjBjK1pw4Ti665Q}hDOAww
zM6;1pVI!76=jb(9HoNF*x-Vy(vp(KaF=fP?0|D0}_FR{8SCV;s@ie?=>cs+un2me8
zXqgMD>tY<EqVEPBl|VTW^7`D^LE9xRX%C67&m>|iw-A8^25cb+wk#&@iKd2kSY72-
zJf+npq!h!%TOV7-GD0?XsJ)PY2ivtS7t4JWp#7!eqF-<gg;FM>mQ}`5YbcX98I6W@
zZR7U+^xT~vp%?yYU+;BP;7qyv<iGd!W>}5Dr+CMC$Dn=}-tm<NS-F1sO#B}@WoOES
zdsWyV3;eSZuE^EjKb>Q;<!CBtdWF>sys^4lw@$v1eo~d*_5*Z$flm~GCs)^bE?`6#
z&<ESNa?7q?xsUl2exR&(2uzu)=IPbs@=UzaeV)1GccIqPqo<_g@r6zNF)4M&zC<nj
zanoaE8bX-t;TzKVt)p|-95TavW3P{B*{rXsYyhj01KA}7q_OWtvH1sUrU>8$;5VhT
zi9APA+!MdiZD=@H2np-Pd=MuK3#qjTS>6bX`eys(%}4Hc|4V=$Aq5NW`rUjjD(<$u
zOLaTntkAu%l850~Pik1!tNt`;>C^j6p}u1O5-%@4KSjl)*@uug|4n^l*b_PuF|Y?r
zhKF6O=YctKMsxHBhove_Qd&XHk<x(Au@HeLTulw>!&n00yPpY3aR#d;{;aGyq>%$b
z!8F$yTLoy3EhHHuS6%jq;G5LK#T3!XQu%PpU(O$1Hl;n4W^z&XKa=ym`xT8PfkJBD
z%=fi5Y4dQxV`R@dAhih;(bui}rzLAY9Bt1$>|C!+#VoKC8Xi>XSD3=!br~l}Rs7X#
zZ!1cS`vgRzd%cV=11Dd~@y`ww01T6rTIIN_qE~geS3K+9*Z<?$Jn3431y&Kc((wu{
zAde=!MsFHZTRXB>d7d`D`K}RE_#7lAgadLq4BrW#JSYaM8IlaQceW;}6x^lj@MZ!b
zJ#*K8(5mp4vA&wGL)SDKE~S5esr2B~0Q23u?i*?e<O?Mu!7e2{7kPk<#e~sp!%Zkj
zYx1_Y974K!^tk4&w|!l?v{(Ag?S3u`cVE`3LO8zcTGORCH<dB7wv3P;+E7HCEv?g)
zMaW10ra3cf<)z$j9p=RQx$UI--KqM2GwXm<gjc_n>ND3v-^O>tfs-q<&CdPy+{M?L
zd+4v66-tRdI3g9Xq3QkYPl0B!IgUBn5$onHbs+mb;UPf`je@U6xHdb;P*)Cjc;0>|
zY{XZC5mvr5Ww?a=h=(B{uaMq6;Osu2c;0K7&zzCbnI138)U`Bt@wCea&*iM5+ft=A
znHo}wMX`>xo}C#dmku784NXDv$=krdQ{s*%(#_ZltauoW1V(c{6pxQPr?$k`b{iix
zJ2(#t+XbrjJPHp&;l*^w)oxdj7nuB5@-p+!7hV2qOHxxZOWtqBQFTr~u2Kd@cZMYX
zlX+zbB5WH+hSY!><=)2|?xCceg4k4@zbY*ze>hz&r8ayP6~Fa(`q;6!m0BvN9Wy*H
zp?>(V^s@xnk&if;t=DocG9%0-mm0A0k6ap&DiaJ7@G>WY@2-V#OzJAK+}v8Q<7H=~
zBB^BR@nUYm<q%`oxyLtFmPH7qaqQY~p_W+^Ukf7>wSA@rkMsPA&WbQ6wM#y@pc3~t
z?urm@>so^fl!}BSFt3y&if=ESNZcyr=Hp^{Duj`=uP@;G^>9MpdmzGj4t_3+-#w|K
zqOhEM2{UH|XqiOU7u^GDN8S62v`y=t8-3OI_u!YYZ~}AeSB6u90pZ%;WOl|Aq6Ghw
zN6@xt2;{s)+AK{PB5y9csv%%~$SmbQa%zh*)F&3CBp2}hOVyV;MxaS_9f*_zBm{0$
z3!RE|K<(4EeA@^HQo38-<&BO}_wDfEqXCVWLDkoXBp-wIdBq-vGwwewZ}@g@%h>lp
z2Fpv#LL%vQD(T^8+EB4Jw86YnY3SDV!{ebE8)>7)o045FwHVdP4$h>lw^cKv%0LRB
z!a}W>Nz_6|&d*!g9SbZdjRL&0c6vWzwHmTz_B))(`;?>Jh}wnxj|0b`ZlN5Hv{4?v
zt6Rz+u5#IR?=TaIEclC)q4wze8;m)*{IEyWt7eTW@kSWQG&wpPdk(9r^#Rds-UYha
z0RWJm3@z}#O2w1{B0Q&top<~CTfEXPlq$FqCI?#Qe5f-;tukLul+qke7pn+CEkCRP
zdBxWd>@A6f{(s9j8-1|K%(UwWG5!#JJ=U^(G4qJ>MCW<e+aHkb*~asNQ4!gh5gDPN
zAkw}}O3Bj?I8Dory7s%hk@VzIHB&BI;r;f+hyoQ!m~)JH8<G8t6i@0t;X&oU|4R-*
zx#E^^&(it0Il|P-*3iU(-m-d!%ROdn%K+#3y&9A09h|PZM-t1suZL*jMkt@GaOsh(
zH*lez1Rx9CJIWmfpygP`KcL}}qzJ}>QG&!br1c+r+-UKNI4MbSGR~QZsMCIwI@WE+
zLv6zjw4;f^SoJc4EO8)KjnRwk#X=Hv1s(CILYfRw#{VF>reM2pEmy;{^dxff2H6s*
zSW>8Mq&-{IW*#8Nk`#8sOf^`-O+il4-$y%jGNv7p>PHcT+Z*reFA`6E|Mh<ay(W^3
z(Og>fT{gnj)!1o&Qz_+GuBG5!iCnhSU+`gv)a|8YqYCL@NWMx)+wEZb=%$_k*QmX%
zzHpdt1^aT;K#@VZCY}urbTnmu%9<u*e&jD++fL`s{s)XJX8QGd){tt4`Bz65AJ*m{
zK~J73QcQhJrc+BwTXhS|&}0U)Um#E2F<O-J@k9wNvL3ABmM1lLD&AEDt2LBS{mGm%
zN7z6(yU5Ss!fD~?=$O~ef`vL13w044-F4H7cP>_!{q)n@evlC&sJmo+A1pz<l*(X1
z2naCs9u+da>q+}_wqRgB<u;WQo&Apm(?rUlCNxy&#Mow%s9TO!SKio3g`=9}4cwmb
z(&z?xK}IxKpX*Dpg#{q0C_ML9ed3F8DDqrEd6<Bxd=>R#yZoV(Zr|2Rse=h|20`&>
zEVLEahx1}r4%Ekac`B4pEg9!yBG#<h!~Q}iBB%g<s4=8dM8;sXyI$va{9S&-c4u#*
zjC0Z#9_cKv$xqUszJvIwfYsYlUlEt33uJwx{e26cCwuvoo%)|gISltQFIr=YWabe5
zOF@|eTQbtG$TfDho$YdMu6DSt3<-XnZ0*pC$?jlRQw>%9CHu~htRS6_M!q3XwV6R4
zz4rw!0;Am(T%|r3mZwHo0t^-xCCLs*Jk~W4$dBtNoXD41(Q+GKF@?b87F`QV4R9bL
z9&=Y4@+UC%#;H~qJT=CoV0{NydVorEM)*M+)nky@8T;|7U^sSoVIKHIdV++g>*^3&
z&GNL<ZF9(k(%0WR=3Vw8foElz2%^Mu{GZB6*N24dmSffOhNio^Li=#&*2m}jZcki$
zv5RtLi{4CUJk441t={}-u6mL3kIDs$Ydu(OvJ(*E`XM_Ey4B22^(%x^{tPK*egbqP
zm~LwM3=A-w0?b}Al_HeTzBltHOBAENu+ee^Nx=Fm@Ea?9c+XGu*iMg^4;j>jUg`6<
z5Sw;)KOaj~VT)WnP2`l}N2QXkn)n?1-N}v)w`YpH5&l<M=8l<_DiWz2=y7U5T(f(9
z?mz40fL>JnVzVnjHDH#YY#7p!6QYO3uCorqw+E5g1t3f?b81#qhuYNl#=^e^9W~vH
z9-r2Ta%&uXSN?Bkq(fNOtKaf_dh@0{sV_h46;t{Bl(n2AnUM7j8AaJ&5K0-*A|x-)
z>(Y2BK77#$9+MQNtX$%NhsTA=;LQskS5sf-%~#2c2^pAMOa06jCqzLpQE)!RY#AAu
zdzI=>jl`Ehx#XE^9FSv$<rJPRg~Y7vk1~0M!cKp6nM{4itjm5r2q>+av)~xEo?;C<
zrwK4Ks_K<P(=imXZv)m-5c(DCCruRBP^NtJsDfCp`GgoFkG3}C%yeM2q5Cz&!`RZq
z^Y%_qNq@w5D!GkO_>}L-KfOW*B7!<+(o&B*GDwzMbog50zwS|RygP*@aBv`f9W)1@
zF!&JRdOdJfIV!k;LPD7WV}*eFtUac_TT|TwYec10k(vydJwL|+>p{xEhOLbRDyi8n
zsZRbe*p+G@;c`c(*&KgaDI9OL2qfo41@C8yUTTpERNK*RR|#yTRbf4k=*wSWItf_Q
zVkm@sbtX$xuNc^_vT%CgLIv7BOjeer$gybt+f#W$Q1Q8;^7PcAyX+l7%=sOu66>+v
zho##+c*7e8J5{%TmDa}!{>q})9|bk$0|X48KM8HoLUQ-n#lCp^ym!l`sN5O`t6X8p
zd4H`6%oNm3FNULQ7<`SoeBh-1<m?%Ox5Wk9V~>$Bw}uzV4IFC^Ei(fmR$KAcDg<)d
zvUxKS;nhnK^_>wmV}alf`Win&5gn_N_kmsm;b1jqSwBNT*3fi1xKvoiSr>I&TN<QQ
z#Vy(k@<p_g^1k_uqy;S%@5zh?O6urV&+~H0u*Z+O@(>lW@8=3OV}nniKSp2oH>%t6
zhDk=1+?gYdAYa`I7Dk|sidu&KwNixB;*N}v>z=Mr_q;ENINV@CI5zqwy4+07v0j*z
z&ka6C8pduuR$KuZR26ju@|GJaAgH7Y>N3K{MF`PSRYxhYV0VQiO>t@VF47M9Z*jy(
zx0~muIN`bzy`k*IEA3)BrfjhOK*G!co>2!sBfd73?vppYOL_B4rg*qLyFI8Q3G<+p
zeX>e7bCE32$MNyA$=D-*vSi|lXbb0YTk5K(up78t=`GGDOcmyq6AiZIJJ7ZGGXC;q
zrR0D17_}%AZ-nv6cY<STxc+uxmxs)a&^od8Yxm>6qAK&Rihr{ZcC??6q@|XS9E+XB
zuRPS~hEYw}hx%RiSb3!dOklhy0Op=~qY9ghOWb*}MIMme8z5c?OVMCM%~iZC$;aYG
zNZUrpMJshw`0;NHsePA;Cat2Vq#QR5*<n~IN#5T_5rhKzzIMvWRY<QdQ%1+e;CFK|
zA9eL?uStv)lDc8mXGXTE0c*1kk%^;NSHwklsdGj`R6V;D8@OEBT=`}B3+^9b{u<Z|
znud<~cKA+b$+dT=n~<*LQT5ad<3ZKxx_HGXE9v`(&oG4*)ge4Kow-G&1cPv^a9v(B
zsFLnJ%=i3?Ab6x5sY*8RbPh;-6pPB#Yhu3eFASoM^ua@^tFYkseHO+daYOSa1)hMn
zMyaoOIdQ=w){ab(=bG#FV!@0;GWhdP=h&e({Y`1A(2=PWi3=pF1Vx<ksrb@vE2BAD
z<s3vra3s3?Q2d%>mBqhQ%YOB<>x77m?{hHXR#`^HL5esz%Cc<47619?Hs~_(S&xPN
z7w0_FzsCw~OfuZn=+|iTg0M?N%G`EA0_vHJt@=M~$wJfNdqX7p|I`DPum@eXE?HC6
zy23mk4(I5?en*b{2j|QEg5LpWe<cAd8j6YHyCcP2VlVf^h@O}t+vqWR{__3OvBFWX
z?k&hmz+Ih(>AVUk1%7cta<<Py;OrkN6PIyDPFFE!MBt&tZL?BRtq5)uvw}P-Pd)RI
z|E;5;oV;tz;;0n<EU7}h)vk`myMo2SXy*D&2tfe9{S@M}CVk~BCnt@c{+i_Xgwg%n
z&7zkXey5SWOLpmc-rh6?lo4w(?5j01{6a<jld)s3VAJRMSS+jd#IrYRYWcccF>SRj
zTeI1vVf>kYFSIvk8#@y^eMECPOn?hZDKNoQ*5SfdnUueSfK{j~&oXLEAvGjLH4h~5
zfnSD*a(nDNwNT+!#UzwdU)&x-P|=`>AXi6ba+&YM_msg@)W4L<5I|aogzZIFq3b;c
zg>&S75r(fr<U60-^$#e6_r4|*yC~~^s4%D;N;!b6ZO^Mn3z;r9Qz&)j=yI8EBgK&K
zBktSFy8Sqw*7&zZLBLM*-w1F%ZO$*ZwFLcgfyZOUZF8p+w&-A|5Hh^4d9}x*jqvAR
zIHtlgv{Hqv*15^J8R?v#Zh8OVe*l}mL0iCTB>CK`dx3Q?2svO9yT)`v4@7Z3G(tfm
z#3t7o<1c3nRjt^4xS+=t(C<aNZdcc>m9`2n&xZE>&U@kS(-(zngNh#oAG!KDSarf(
z(bsc4hT4j=8gF?aMvmpHJUCnUNu<g8GIiV@rv)6^6KVYJs~z&#`_f^jyXRyY!x?r^
z8Gf#?p}5%*ny>$FaZ)2t;2Jf9LhDLpVHJlgv(m`xcUvQUttAy+RG)(Cm$L3L_OVop
zUt^=2a;;0cmZ78D0K1Hw!+JTzrvYfMt9*&7)x&BLDHzoJ16C>I>bme0e0mo8z9b%Y
z@67V@gw`$gAw(*Z63HE#s#Nx+JO_O`MK!y=d?5m<y)fLuD;idK>=F*>U=M90W-!LB
zzBH51FtB{6umS7i6ph3OtDh(FXr9RhA8$OLD?2YM=+gV{_jnyKpv;VDEEhd`4dLbH
zMtER~S&)q9Cfd|*hjv>p`fGT*Rjgk4v+(ZOo0_x`k{5rs84OTcA~ebO58b_r{~q^L
z*sbt&MbEA!Z~8{>e^GY^0Rk6_Q2EMIPhLp5U?pW7T=Tr$*+X8`tA;_QsLuNdfm!Y<
z2AW?3^uQ?s-&8z5PnFC4Rklb}%s%j%s2tbC@U@Y2rW?|79G$TF@nHFzIubKQ)e4j!
zLM8Zn=%EJb63AeE(y|HDswg6)5Smt?Nsn|k8fSL8bM#&%Ff>n%3fuj*@z%2gncmCy
zBmtdhUIIkX-+v1B5wCDY=df34n@!kV(+D?3!7J5+T?2b%JV4mCAaOcwE|HZntGBqT
zdfOe)g>l8OxfLn#PrB13?$41a;f3Bs#M068q3AZJcw{grZGJU^Zpy?j){s2&5+-p3
zxsXIW6sD3Eu^Q=VNxCh4J;6gRBS+dYRF9A4RxV#6ikQjx@rni#y7V!vZ2iLvJ^0K4
z1V0YtW9`(sV(iF73FYKpbMx=)9~8L=6YLM{WJaz^7+MMkyn;zzg78Ak`Q!t>Fw$Ii
zY0+T9pK=|q){7InhUM0ZZ8GP|z*aJSJ82&l7Ja&9w&dnUQgH=^(^_5XVWi~2cosQ<
z<wPH~@bpB2wmu7jLi>NBNgYAg%pHS%jsA;gsd%X?EwEzn5~bLG&(}l9#M4$e^OpWM
zL}vYb5?M7W9GMw%uyy+dMz0_L%+sR9je)~zP=b2%W+(w>MSx(Qx-Q4^yCo;^6V13b
z`M)-BBSjc-<T6V@Fy9JRV}fm?I9l8uD|=p*bJy(Wd7RP&F}eIeIpm}08fOR!asd{e
z8lT$!v}dorNi6??);};VU{bVT#TnnBfV!NBqD%hXVJ7jHLLvB|zpqq$@D#L5L~X98
zzosXKot-<oTJ||bFaI4#>mT4ESF1L-qU~dk^51jJ#=9kp2aLRdGp6fGi)jwtMovUc
zMEvlQoSF#)NMdm8xX{2NC9GD?g>=3x(Z(MHg(v0ynUJQQwz{bA14+sX>5G9<dF<<`
zf`PPRfF*o=UuTMRcxRY&!A#W7zUN8G+9E|sn>B;_bjbB%S6FIr?e8{r4aKk@a9PSM
zHyWq@>N2+(KLM2TzlCUnu>HmPta)_t(q-yBW3ol{T<1zgGpZ5k-}nI-m7m9uYW$$p
zPa5U#($2RJq!-+99mqRZC}WCgoa!;qV5=|~IM?*i{yQ+{1oJHXB9g(^Dj@^!l_iM8
zA1>m~^Uu4C(IBR~=7#)dGN`j^<x-=Xm=#8VWq8wUyp|j6ph#k6XJ51#(;rrXw>YgB
z*ilwx;Y)hroPImZ<1^ucF@L%#xi*gf_x%MCUU1BSg!^_X$6TU$HJ&?ZYuA=34mOSv
z08(1*@_$;*d`Uly-9$W1c&O9$1J^Sq8SCYJU}Ob>Oq)~(Rs*|#p^5veCJim|7!C$u
z+}6IN(hZ^&(TR>&m3cZu3DCzOV6?1#x&&78Rr;|QTDEK&Q6>!4OVRHArK#ns_SS5v
zspM|Im)sJBh3&_$l~{{&`Rm)TN2=S${%WXTa|@h<6;T)j$IbaKz3MuSpM`B5eS>ei
zc=_jb$luAAMdF+PVeM++@~NPv%XdGkhI}iTpgCiX0%Vb#Xjm&9+Y;XlVSAw#c7~r#
z7q0#rcok#>$mHB(M{z!$_3{>h?2<UKq7Chf59xpt25r56uG=KZ*4FZT&aGWdyOJAg
zu*#|(8W}RO%JkV(pX?)vcGmlrwM!&tF@oKA#KHJsM3yD4?zI~6UjR6XUv|S0o?dwO
zouXo|)B2~q;#vxP>OjB{MA*iz6rE5Hd?9Wm6VF7tK*AVQW=T44ajWY?O<V^i*)0D1
zwPeKzc$?JFs{dARP4GgEyTBsQvJ@O615j@c;Yd<63f`vWneZbW0w_=~Jl)Sx%*)#(
z4)Tv!{bCe9?1lhV$e#`E%vPK)&d6z&GDTB-SyMO-UeV6^GbxH@5i3Q-DPgS(9%h3E
z_I9wG@BZZ?PJQr5R+9JYnasB7NwaUdc2W&{mEt;3`o-kdviAplyx(<XFsXab%QR#=
z^UX6w5u80Fej+EPz>%{57s38L0Kjm=0=xN#A-(65rd#2FZTYw#$%)02z7h-@aZ|Li
zQuLj%N-jtBm!=VlZ3@VEp>i1@Qy>2skwr$wi~X(shpXshRF*cPfT6P&vEL1KgCRF+
ziRwSv7VJ<@hM1jKj5~g@w^JpLXPnFDywW5!VU^o-vim&N9l=|?%vB0QkvnP0dA}bx
zG8)kFZRGUwU`J3MCs^KuBK*ur|Ary7MGSL~l{@LZ-$HvrTHN=Xc>bp9m?3g&CRpXB
ztaQk$Vl`!NkZ0v2d!t!WHNNR35-6Po<nmtzNj{euDIU@-N2e1gavs5HxXM<xs7f75
z)#sJ{KYI}lVOy8v@T?iM60n<u_zeHZavmtk9jXM3G8i)8sx=hbi4pb8<kF<8mZg!$
z==<)Ocp!}_+>?st@xV+Nm<GT+R08^PNa;VGBJdB@AJ0c7NPLb&(Y>CRqX9Hm+Nz13
z!vT|g1^98smbs>gBq1!e_Y4_L*;Ze=OIcuR1dAr&m6_~fCy69grYxzYnI-CepHxvl
zC<sB6hD(?W{&9`q(-9Hd`sv88etX|=U@cZq)Ms0b<fg5TT5fH^N=6{>>6OCvI!%#(
zOX4`Vw7dIpoR$#Fs4AoZ2Y3gxS?<@(|5BTO3&R|NJbK9`ktRS02ttLcN)iCsT3Y=L
z-3pZD#hxQ@zs7h`?@{OC!?Ty7S>6F#(xf`3d?l74zx#-VWkzGgPa<SVm$dpRzWw#(
z(_QMpPW->G^$#ucj>81H4rSmBX)07wT*?#LnTdTep%?;A%}-z-0${G_Z)n>OwZ%o3
zY*y;)e#EhSY0$+La{?5H;42O)0YoH-_rLuy3WeJ<mLTK$WyO9QC!STiMoUQN^Nl<o
z4yFmiP4SONdPnE*NkZQ+QebAR7^Xh1DI4)(AZ@$Y(2|}0R7e>_VfeOf-x}ZRH)ZA1
zM(y_k=?edA7(j_O7%H6T=sJ8mAv15dMonbH{<4nl&zR)5PipsHR>^-Pa2F3xLKGA~
zPzJK7sRC@#UII4I0h6zBuhOYpvxHVf0IcO~x@Q=p8i5O}Y_O*Q(q&p)(+q7H=Y!I3
z#A~VFqpXV_rPs-UKc~kn?6YP+uoz3x5ckaeUF2-=YqC6(1+w4$?3u%LfToGP)r`Fv
z<W2K|N`N{3T;~^?<i|7&K~M3x!@e{B3+}Xogi!k{!#!8_mr2JXzbOCtYC%16BxrZc
z=P*t6G#1FEDc}01pkB~Qp*Z`iNN5EMaRiZLUCiMhrZdUU1Sv?#b{+!O;zPWe!vQeB
zcPQuoJNy94){u_AV;x1+Tjr-3Dr<zHHV~STCgaRPw;m@4)?Ez}AW!4{nr+q^6^4|W
zE>jaXH4$Ke2E};B0%b{i@Qs1#NWCJy9{FBiKlzJ0GgF2ae=GC%GyDMFrAZ%D?{Vxk
z%4K$beK5etsl5LSGXT`zuUJPlwmyyVx|~N+kfp$e>S24RQjO+@t7kx0;$ncC%l{gG
zahJ6$2PnQ^Wc&5e*Qzhx9m9W@H#GtmCdslj`>iWuR_*zk7(FhO0WWlD0utshveo@V
znxv2ChB;5{=0PJ`2>2C|O;$8N{j+d9Qg4;8?tp!*Dpt#WifrH@wVtP>0#)Yx=3Ofj
z0&p#D=LHk7YH^yc_9m)==10$5Pd3L!a+K3W?D~>;MjXA_I8<|;d<y=^Bz;~P9PFyh
z%(RXeaIsNL6&Pd1b0Ec}$#rVhwM=>P+wyZS>XvGmLxG{m94>;xWMb6H5`HIYFbZlW
z`W9caWLq0ugk|@D9i^#`fh4#@!&r#!H!mkQW~yX>P``Y@#P2~)b__i_$-!WX!GQOc
zefy-J`yRqwB&?7AaLuJsy**4KT^Ma1+=vviIydeXYN=uU9BEm>DJf>H=By}qqgAcR
zbwa0UYeKd-;ykmF8&%{>Fkr>GVSCasIIt-2HX>(zINJH8_-z}1|6Nk=Nxbk~Tf;Nr
z=?kjU37pSuc5CU6nrfpQQ%l4de*Z+~77AsFpSYkt<eo^sfOkyxpl#>${Vdbm__)@t
zM3$U9({~f%`OWXUyxE~-RpF5RQ^U_emmw1oMcTsVj@|ocCy^0FGCEDH#wlaCn_O3V
z1~%MRnzc2BWzk#L+#j|g1}d*#_3imZy<uV+VBR*|h$_{4T4S*?PwH$-@4|^4&oZH7
zQ>;E9d^Wwg(i2~r#%0>E$?v?%>4ymS#x~>~1xACtZL)a@2OLTD9ffpcB#m3$&Fodm
z{$|17^Al}<*2A=GI?ZWAgbRzzKBQ<}<h|V2X|!y2!DThH+<JAU&v2!&HZ<u$*W}!r
z?C@8>%7_hs%_pzV;H^iq_Fohi`wVBud}Qh$0~it->*(V5Yr?^~{33|mBh$avq`agv
z($UNMVBt31qrkoxiEmviukn@5=_EeX8wsNk&G^&2L28>fQX%9e@d4dI!}2$~Q{%EU
zGML}qt?lghUQ}Y&vq-MS*4L^C5wgMdH4DM6rFEMHim;ySY<o3JQT#Z<$Aj2;cTq7E
zVgSla69=1pe&ROVJ7_y!ivGK|{4~Ul^-=r-l!3Wzx6YcmQWNW=#eSD+QTwcmu4mZM
zFZ@;;_=MPsYJO1P*67(Lixd5F-PZh8^y4HXSw`e(UCgIH>aFbO?-l(Dr;P?LaGY;Z
zQPSWJ1&uhoIyH3dz8OvEzir$y=kWUDgG%n$5`aqSK2Nvaoc5jZE4ts&S+lk7Zf(uh
zv_Y?sZHe`<uE@K8&5M937dl}mevZ#9<BlQc5SCd(ow{80ba^DE?LoKdA1wsP*K3O9
zs~8sQw=frJ32f-!u7bBt4gP;a-y((N?nf{Q8+n4%51gIn3o~`bYV<nihw)TZ$<ZgV
zjj;N<6$1PzPbOAna*MiaB@$n6mv7`m;w5p9lph@~)2LNR_H|8Ax#W6(N)JifZ{+BC
z-WbesQ@A;Lx21iH9y0wmhRvwN<h|g^hY%coaAWA)w?7ui6qRPbKK>;Bp@nJOQ~pBR
z12HSmn#cfp?ZMzdls)%xf1=>Lo~4ylOnM^S;kb9$fU&XK@A8Il{I*v{x0Z^0Yp2?3
zXb~#?o(N0N=VUC$=8svdB8rm0#@9|Ip@W|l)xS;Nzc&&)GZH=Hcln*@QkUaX{k`ut
z(C2Py=wxDGP>mNBa{)P=YcW%yM@X=G3yB&Zv$Ci7bYs-@2iMo^>!2V!N%L{P3cp%3
z5DP30gn_q2X4(IQ>Q7>rS^U^mM<QaN4HN03z*9))5j%(TL4Pgey_f<5xxiwC3kIzU
z5xjxv_LLb!lgM~Q@Cg(+V0({?!Zeu-7BM?Ke<qXG8ecsA7`eDa&tTkPLop)eJ*+V5
zs~z-hdJ<fQIC_zrc3Il#eS2g`-14xn>UGv;ddx4iMl4KTD6hCKli!9z7S?Y&ub+k!
z>Ars7ZT&v8>kBxpCR*CN_w%o%oZg-_-&J;|dv0D;SoV9fM66vNO2b)BQV<UM(ieMI
z-wfm_eE&;tQ!~Po_U(LlYELq>`5GdN<0C844-LHSZi+a<Wl{Eg;11`6xGc~$Ky%21
ziiY7M2~Y-C?kn&{9{2tq1O-}Ctdn!`cM?Jf0Ec!OBuQt4A@N-{)`byjrUu~eYp{vO
z$t9w>BLH@c{+WG4`ORpNts=~qP9Ln_5kL~WIYZreAw7?i>uK{M-fU2mC2y&y2Xw9}
zS(@{?&UsI%(<?`2sek>n;1<QI@M&ovl2~oqbF14ayS*8Xu+TXB3;AaFWJh~r=3Def
z`hGbx+(O4!rU4_9QJM`m+TXk{S~hb1UeC8a;PAe=SWCa-u53Fp;ycqiU7N+(3Rs;q
zQ=A@Mk3DJjn7Z@z&l0$Yf9?pj=9ZFt!Zr~t8^89Tqs7fxnG0Jqcj)LhLBeX|0{ba*
zD7BOllC@+s4*&ogj0RiG#ZO~Q!(~9}$v-?m{SZn#+iX>q9sOA%b>Z8|Pf){hv@`TI
z5_x8_11!&7xJHIYdKS8cv??g@O>~;Do>_ndUeaXfc-J*4voFGoWj{T${XAMLD_s2X
zyhw$paH#Oj1sT*bE0Hn9v2|uG&1<&<Y4J~lzTdX1!n9em!bgVI0^x0^A78X?hdFLn
z!x2&ZvNtb#z6|a~PsrX?ioSouLFwLSV^DE%(3xK54lWiH>`&lY62E$|9^KsUh8Op1
z<j!sQ_6(J3>|T6>K%hl+c^dSS`??@2o}ctb1Ky!@s1P|^D<9M#lSq73(*A9asOgJ<
zT1ILx2zy`<mId2DQ;RpRSpRL8JX$DmFebU`S4P7icO(<yzV@2&MZC{2yB#b1&20sw
z(f|b>n^Tu8i`z*vjW#Ag3?R{Q+g6>J$Il)%k%#?Ie671+_u->?$K%dKqw`*G_7lTa
zuc5jS3eWW&P0#|FE5S6<n~kxwIXdyha-@1$&)2h;<%x;w_Oe?DvS0mJ&4^+}O*qY;
zn`^2LTJ$l#c$@sQUGGlBc|+M3Qg<8sUVI{*ml)+Eg0CMK&i><|2Yby_cBfVQe4XNJ
zw`fMO?Mu3G+amS5(dVx%tAHDwnM(OD42EK(+4|R@y5Tmj=PA>)i9SrV4!ao2`mumZ
z(yQGCaq~cPDvk9j(}T;*B+u2#e);ts8sq~wP{u1j--)=8s{fERhG>H^G?ix@9w3K1
z87!kd4td*<KH8~yFwh8aFBe*u6+4RS2Jj-G$z?cZ@e4-nq73mPr)akuG@G4F8`Vb(
zhSusdu93Y(8$!h^rZ-XHG=CCs&_3Bo>AX$F(YzSWR*XIBQhph&O3a%@8RhBBs$67r
zJ1oioe{hB(S9iP3q0}romy;~hly~aaYe-f1Q0$D7r)SykVkI7j!fX56(U6-1a$9W^
zvHPmW;aWl0t!0X8_RL?nPC)P*E#xenPcC2fPxV;4l|5;99n~`Hb5)_<Vi|p^plQM2
z=@1{t=Gwz>Seo(#ApT;z4j-|sD%wVoe>o&*_b5djOaqFSi-zJ{LVZJ4yC2TgHPOKU
z(c%IODwUU`Cc{9j?EFDlY-H?_9b}E&N|4+Ei;>)fRK=aHruQ{zZo2|Dmk;IhaYj)B
zVtoZztnu?0n&3!EHgM0&&EG^iK`j;Ew=tGTQjq<OHoHD(_XqjuGmobdD4rH$QZc@8
z_;=fc<4(mJmm_<n3p)etkMxC{0X}LVvO9lZ#Mg-$sDt|3x_<sDly*uqz4~7m=0|hf
zY*~|h){9pi!33$Qdmv#NUVtj{V;dv$$Fzkyhi%A8mSyM_%`tZ8(VNoPt1@r6;YTu8
zd7ukdAb{YsNah>=%>eT-VEY8}d-%BMO{qU|@Oy9j6;yrLnDx=&W|h*c(1Z4v_Vd9K
zh6L{9-$!JB`1phu8rHsxTs`;Y#>!`;-ff!~!f`GWso0E4NEI5z$4w8oDn>D8<9b~I
zZ~Fd6vP09wyI5rrk3IWMhu`kLe{`bXeWqmn*nAvNcs@1f;29P<+fP1n5^q<(|KM;!
z*&?oHTe+rPVdzzFB?!OpVQZEfznh5++?2}=j!)ipKgr#`8IEr{H)A??`SLY~<(Pd<
zQhOr(KTYMJ=;(u5yZ-2=pS)r?9+z-vN*mWYgrwXO9yYW(VW#7ulI#WyR#0Ir-)?_S
zk#Xg}uV1_ce5t2p9{InWA%?Um>0f$!o`T2isPGaX#IWdb>49#th*|wjN}!P<EaiR#
zl_LNv1Q%_J!dK7p3GY42lA!=&3w}H|X5z8+pJU#`=pz<9e?nfo65#5+T1<UiUR+=m
zoET17wn>@hbNUBy_OvSN_RSb`e_4QMBJ-8!mANjP{!OuV<exG;IL|?C{3s{tcr$f!
zzm2sM#@k;5DzKP~W$UL=qQ~!eJk*&M<-0@cp6r!Z{Jmss6^#uewqIZaqO&z9eK(Q>
z{kPAZa5ILcq5O++geEdiA^+(G5G3R5damRAtlI-=Ino@;^u&;~bp|2Rn3jJIDgQ(m
zsk;<VB@7^2>$a3N|JRfNfR_Nk`G|5gq{RIwDe-Vph~LAPAnW@zqNiU<9H$E$<zT@W
z=l_`vvfuK|&4vx<>lZMNN)irn#|<qlSVk`dmA-!Svu_*4QJ8|BO<G*UO1&v0xzO4F
zL;LZF($%u^D!6T@ICx>XQQkviX)OKfM@!9&BvI%tlZ8eC&mx@L!F9gOW&51Id)@8v
z)e)QaFfLElO`@pZZ40BwL0HdV&K_!8?dM6a$KSOU@j8$Da>}YmtL9pw%z{vT{63c6
zpc2Gp-NGWRKiV>F8N102{2yA)?M1p`@z0R?FB28aAv6!8M#_E5x`SNI=|-eMbJS~$
zQ<=~l4P?+=5={)i5V)>a_dXfeL8QWu05L<`u~w3Ce!~&qn&GPyNZU1{hqV6c2?8Mv
zC=jp*YxadxYjT0H0Btqjx3@}yMj%^R!9z1Go&stE@E)Q<(PNJhtNqkaf*#e5V%{Cb
zH#ZzbJQaB={Bl_R2EP5raoQO^t9|wu(!guy7x-fq(wA5$UWs^=NO#2^UG5X<=UbOY
z@p7Ikzvp5v9tgQL-)x;F%J<lxH(%b6;6G{iyt(ZcIO_HJ%&ILx7cz<B$;9^F&n`1>
z9`^Nd)8Lvv2~jspN-Ys+UGW448>nOJW;yP?v(+Aw_&6ug<tKq1yp6;U??ebAB|xiH
zC=iCAA?dvS?^a=!_7BEnL5P1Y;|zsX=L2oWbd?XyvlVN0*eL_#AM^F4gFaX<x~xi)
zCIaN>5qw@`SSdS?qeVZ%CH`<W`>S`pfg+O^m;bv}o%MvRcYT_0a1n}(`<CGdT(p#`
zvdGHv0EccBYrc5riL(FTF#I;=Lx*F3+rBr|u{vcs0Fl03Q@VD&**KdxK3z*(=|K@W
zs~zwmu)8vFJ$cqS+ln$(qx}2MZSWQcXQHO!^!dFc3+jkez{#_9vQRJ;$AFE}Kzz7b
z@+v+#6cMFbLIkH434dvYW)#NM`ooG5_rC3Wz5;a7+cS(tE)fEb{|7~?o39WW&QfFT
zQFMW|!zeHNITEuh_4uBljB{N5Lp5r=bwh+~_au3?Mb62nJMtLbACaS1illEZjLvE)
z5|MM=T%!`bM|IfZOLa~r3~#zM?Go#Y{B(?4TQm?jg<DhEuX^7|nc-6zUSe@Z(;=^Z
z;1^3oE^UV3GF0iDUSuuqm6@NzJ^bKd!2WLTp`YK5yIJA`oRHq^&n+f;t(6b#zoY2;
zMWuzH3(ZTLrDeXK=k=<+Z90rA-Tr3M9$u_7AnsFz8Gw`^yXs~}lv?eVsIV0vNe}CZ
z10@D7{4x%+E8_0VSbca@4PU|+eg@yCXcoPwrTy09H1D(y(%SpCs2%(VGxl@=@PG#{
z0IA0yw$OURtki$QOQ@Vb)e$R}9s)@pGRkZYd+-qX9E}jFM|m;pB)}C`C?Ls`r&Uvz
zamLF40(MB87`lwJ+hEGum$SdwxYjt?!$T)KUPO>gZY2LC?<0ZSUB~!(RSMYNoy*2I
zUJS|3bc*Ot%vB)qmUI0eVN3|pul`f-`twOt^S}cS`DU;&mP&gJP%RdGo&UIYIKK3B
zxbrsXQfU_L5$3+@r1bKh?-ac~5Up<=wf`ai)bB3&?lNGlaq^oA6b7WJ@u6%P@iLm<
zTA!+1dp(acbRQ7AFo4Sh_f#Ov<j*4WV;}Oy^iW?9!}?KB!-VZ`F68U~r6!?bdI($*
zt7boO&r&)8{B}L%lp2ZnDSS4}j_?guJkio5wH|m^Hun-XQqWiEps{es#%2svkw9<D
z1+|5f3*!2(^@i&6GWnxw^N1NL+0;Jf+&3%DpPy$VJP|lzDZNfNRoy}|6s?E&=@zU;
zSC6Ngms9$2clwC;vDeR;ba?)_&Nc-5BGC|fH<m4bbKCMIac3Y7+;k>BwU!+(X*cfJ
z-K))#b(fEYM0ih~e!<gvkn|SXAf$tif<g)1O_v@`mp%C$>Y|nw3co0XOz}w4y}t>4
zNDLkn8O5Yw3bC#*71+u4_w@xg1C-?UfX!&+P_pa~O`KdjP0N8EX^bspLZ{PuJ!6?t
zJ_sdw*zmrPOTNb)omnY9CIOon_ad{)I5>xL3@i&wN}^|+iIPnZx4E*8mhyf@O(*|c
zjefDJimCW%R<>XsABAuP#;5#g9G}Az$J$A{nZj<z=k3H;<+!<B#P|C+cp{5&dGkSn
zG-={i5A@r<E^ui3Bpx~Lot2ga?9(?KeqZLAD|Sop&<O7h)?aXcW9meM27AAVp~a%j
zxXsMLhbaQNbhDH(0nQy9PbW>xZjC{w4N6wk4~MWO0SN#~M}2q#dR6?b2#KZRX$4&F
z)1?zax1=4K1yRPIxFRCX_UK)9Kf@$6Fyu~p(59m!l~I7iCtZ<aRlND<Wi1#mPX-mx
zOI5}w$6Xb_nY^dwXZ+;AvPB<T*`u)XEsGe+YCo9eSu<-T0(7^lB;;*O@6*3~j4ID#
zp1f+lK!425AZ%@$te7NoDU8>N_C7G<53<I2I)0_ihFkZmYjNa9pDdT+wLR0Snp0eF
zJZPhc@I2pH#FsQP-`x_i)_57UhZ723Y}MNLaQpfNNCwTm8pX=*1`Itlf(Kez<}}J-
zlF$eF@HP%fKlp_fId#NFq6R$t3e$y|->ETgCHezu$etC!y4tD*f$=CvL67^NYK;Nj
zGg+6k1`en=_`#gZ0}TMIG&cA%TN$Z9mRiP85+ez}!E@rB++$cY_zgu949Vhx&=wcH
zcqxJ79C~@<dpYi+d}W2y!LToyIK%VnD<#X>oZnr<!a~&_ueyBELU}8LY32p@&k-Np
zFWw01MkS)1)7_v~Oixh#@i=9(ZEs#7W!XC8xUIWoKEEQPG<dq-MHju@-cu2k8FA{M
z=BFvk$qcLbpnZ}zqBFZ=e%@<s%jY_v++A!jQ0ovuj=jMjzxy-;I-O3_DaIbc1bfg}
z@Sv~L9>x8~+a*QK3M%S>r?(aCF5On_+a5X3_N>_}Er7m*f!&8zMHqqWlJr%^ke;xm
zcfl;bS{Rsh25K<t)41=3R+`$XA7}{@_mJ8cNdEONt8;hYLPW|t6+MeAswST?<SDje
zvl%vdv#GkPlIUiYYz}zhF$8XqOt-QMvos&0+L3Sbpl-k1*jv0jYH7bGWM2Dm@9aGt
z5IRCY{A%InPO`S^r_IaIHFS&hf4t6|MDTlr)<vc?r^Ue^QK=_FRK~NTw4YZ~Jzjml
zr6lN#v8;(31b9xL(ir7z6CPM|c~4k#`Av^mwb%D2JM=YyR?y<XQr=(wG`G$Q!pl2@
zS>D0h1{#<m4>8b#Wu#7z+cQGG&5H7@nE7EG(6wjyp*_58ef`rtsk}q`3GKA%o3a^g
zFOoUEhCT_-2e;6O-)t3g_EYM&u0tafJle_6>?YMTYg;!R`W^_I)*s*YvoiYiN^(19
zH)m`qUt7;^mU8L)UB_*lt(77U?@ypikX+W^ByvMm#8mr|ZWgq;Z;<a2RL!bv*?Qe{
zGJElyi<OVB;)nFQ6>VVHhZ6;!)V<+h`4Vxb#EvIsc*#3QmFxoO>^XLnRt;+A)kq8r
z?dMGUg4~Rjl(Z*iR?Qoj`MPxl;s62i^h+{kgTf*@Tl>Eba?ooe6Zbo9vi4-eOs)V4
zJ_Lxy^pg~UtPSn!mCm>7zR|eEVWVMUbm-vdM@!n7wU2yUA_o{zBzmwOQrJA)LWPUp
zr`HZ)jYV@8b8_7jI<W2(+->1}y%;mL8!J#hUNw?<bCT;}-2MCGn<)!A;Z;}XCpT%q
zD^FJmSKgXfYu*_8wZuI1)AzeIaheG8^+O50NQ4yLkWiA$!gnmvA7}ld*XWk3l9qpX
zo~kveem6m7)Ejn1Wy6=gocC9g57j`>H94{?u7BsC?(<s1P2k$|xMkj~s5ST7IoERQ
z^UJLQBC2q#BF%}`!s+iI)PMP$YX=5HcpzEsuO?2#2O&k^Xtt$&`R2Dm7dG%pXj5Pj
zz75=;k?1Nz=-$N!tvJ9QV1D6mC%)bkO#OSJcPae7O#A6Y#`O>1X_4GCYZby-B|7&#
z1>dP1g=fVZ$ahZowZ_gh_I}S2zx|Ta$UD0XkYq@Qh+2xQC0N)dzEVqcvB-TtMdG*d
z=<Zlx{3QN%UO_O<KBrl*IcLt$u-cDBW1rvHXs?c>AKcO2Gm>(*U~}KAC=0E(BTZBM
zl+5+<G`26rtz{S6f|^@VSg@v-co&PyJmQ*n7bDGy_c^8_>zM4`OQ1gxN0I=B1H5pT
zZ=V0{1a=<<7=hlg{#vGmzELsc)RU;pGfuUAZTXQ5lR9QrFWT5ASP||8nq$(cAY+(n
z$AWd&r;gU-xDU05_nlspGl0A_Ih~g_GaIi+PG)*EK}~>f5r@>7z<GN2n_r*7?VBMh
z?hs6G51a2P+&0~Znb6GHtpOc^fI?x#6->NnWYp_|u#dJz?ej-Z>X$ig76-PTPo&di
z%%x9Kjr?33I7&NffHt1ZUab-+3%wc3jyJe$2N!)?a1ak3Ff<MSNYqWH`o6=yZFoes
zMpYjcbTwwWFkVJ}cil6hm#tin!3Z*iXy6a>^|@<um*z~O>X_S;^p2&h<uff<o5=Et
z^7wk4`aW~9Cnjj6a8nQq68Isvwn?x!t|SJS-qO?FJjksw(Sr!wLujz~gz@Gz8_y&p
zl+%CVSi0@zFUw7%!}LdxPqmG)@0d$KVcQUYzSmQp+AmB+u*vzd5Y00iC`&WMVLWAp
z=}y>(WHLSFU<*#9ba4Gb%8v21E8>a8#&AN>wQqU`Ll4%o-$oZvf<H{1N>7wGZJyF%
zSA6c9Xy?ic2QVSZ|C}JOMD*r%^maaEesWIqdf_va!+YU@WC)e-xtB#r^(+-O|9MQD
zWvXijj(y|F_>Hkt2M0ULqjLR%VwBs<)L%H{>c>|KShl^(Wrd;ym%unxIGwKn1&g~t
z+{pRi5>r<d-unuay1fuRl5dzEY9qK7(L#6+q9jEgP|vaP&E=ReN+#r_Y;2CI0-IdF
zG$Z}X|K~J0f4ytn)p!y65MMQI72`(&3qjNp@Ui=r{BD==#Q$@X`I|K^8H|%6`rwfn
zrh_viY2;xsPotHZE$A}<EA6hEcVMRh3TP-`ch;gmy8S8}KG@7+Dspt{q%MP8Ux^sE
z$nzIySgz%XBol}oSz2wVWN^3rHNiUSnNM)_K$o;NuV;+!gAV62`RG2|Xpft)X3IDO
zyV-t*8Pf^wDUlC|MO(@fROshDtsFBeT;f-T>2q`Hnua|4nK-G}lc2<RG&!@j)3hBx
zbv>^L>P<5?gQ6u41HRYIY4wIg?S61)aQ6ZNY6Lc<b)Qd$61S>7v-@Q7nTN8tzBC3a
zE%8PGL7&I5HtwsZDyt7rU>UEQOZ@+BL9x$b5l?iiA*j)KzY1q<Jt_@Y0n9uU>N+;5
zNQLn3nMcVa-v4(k&laN4h|jV8_cZT)fEkd#q)qQ?JVh9lC8m$rpv<B%xXu9$T<4%~
z2QxTJ*tKT*-4!@QsQ>QYN>>P<_?Ws9j~vzZr|%85Tyv1w#Y*k%&$)}p(UW-Cp1a#I
z%gDQVVbptfbPXNwJ*~LfZoa#Xx38XYQ*PMv*{eU9v?&$FL~(hE`Z)yHrH{V*ExGWb
z<J^k^#1PSKBL$ktTH^(|5OXbV_7af0GQI46CO-H>Ejvw{Rd%I=bYbuz@fi~b_T;`m
z>Gkn3mH^|8f%<pC6CuEW|DPazi3>bivH|CcG)J2O`Bn5QqeUFyDwnw#M{hyrHQ*x?
z<3S$;1Vt`?RPGK&qK+af=-&Z!=CA@=KLWHpkc@v|QpqtQZR%HsX9pb?)=F<>v7@B9
z@XJ4+uD3c)ZF(;E3_U=xTd^=-7VI;|A9UC~p*FuhRa-o|{q)oDGPY0?Bp?U5mhXK1
z{-DV247l&?AwGEIL^>f1E+_Nvar<K)Zz*y)q{>mhQ#ExO3{PRmiHsG{X07|V`mS%{
z7PUC|6R^pIijAS~7hc7SVZYZKWX!l*iwXMB!<FcHIB5-Q<FNMVs2M8sN@7;A>mvvI
zTYCv<_0De4u<>Q0>d;GZP#p=B|M0Ic0$c?Uvzo#swMNGIPnjXdX^~C|fj|w$0ROcO
z982P8KMx_Yx<tNaWJ`_4xMi<Ea{}CSSWa3Ta4=hGgG6_<foF3Vr%=<0XwVfHma>C9
zGRCiv%(XMV6eVb16M9MT^0m~ul~aiBcll;<Q-Sv%ufH~*0k8t2C)RXLzl#P-#qaFt
zzn$gZ|1~1w`WxJl?)!Egids@L|L%dv^{A@y0ljKWi^<!`yH%UJcMlEaz>xyGlxOuz
z#vQ_w1&=~Hq+@PPRF2ojl;6!|c~}?@m%3ITwVRD~>6wsl^59o7+rjd(wIC3l)7BKT
z|EA)3IPjiHy11D&Wa4Y$F~0{I@d_vv=!H-1asIF;bf^u*YTZcI<pb9%G?+ju?2;q6
z%npr$?|o;(pd5hgQW^Y67_R2OHnh2j9Nv9%ZDXo`THMm)5{cJKG}FBxI#T&_z&+D6
za8xDe$rj=N$JAQ@Mb-X)pn#-wNw;)&vxFi@ill&mG)Q-Yq(~#(-5?+xi*$EONO$KF
zyZ6BR``>$K&g?KF;NdyXdA{|D4wISno*y9R<E9;7+XWs{qrc;pkK%aXOUQ2{em0Nt
z;G*we`RW-C{K0bvNfjjYx|1iWVIax*tOmxo&#$j>d~XG$Ggraj;|HFB@~fKJs~t<S
z;%$OkaWtMv;;-v=lHKjl%9iUz%el{PM|;W5SC_yfTVIeIm=~O^nrHd=hPE3k4au|G
z2kxx8%XPnxz2f{8_MflKzOo^!`akiQHaaa6q|4QpP27&c=fyjc9j`oSUy+B(I?WNK
zo5$DW-4yGmsvFJlKf#11RHU?!fK-oAfd2nj|4WFPblZ6Sw5VC{WP&YK-vn0fNZDc)
z{5JC3H9Zc--5>rl48id<f40<sSNTU$zJ#?fc7po*Qq~DZA!mR;W8Y}63!rFmdQZLW
zM!Z7HfH@vc#?$zz1T(36kXRq&*+6nutw(NW_!Da-jbAhwB=TeNXyMBb_EAyDW<2P^
z4t8xf6<!Q3c!6QoLrVC`ICtXfUn6;#g>1%Wzx9*IN_&^JPTtY_VLJ~#U46d_#LIg!
zpUB;tzSW72j#^etjC5GRg#lnfYS6sb@d8`>I>XL;L)^~$Ko^X@A?(Zi$=<({<9_w~
zBKRA6$>H-BtVEoB_s0NTxDtWz-&_`vj9!^R0A8d4B55Zuhi-T&GO+vS>_-7zJkSG(
zDC|o{jKd;&4<v^<LV>1*^|ZuR|I<vc;DYyruAzMNro<%KwK+Bni`X8_p&YU}W>(*E
z+ftWr0w`+J$#8!|RwaSX^2oPQB1wy3evA)HnQ*I?R9F!AGo9!Zy48V9tk{XAWcS~^
zd;!wzZ=aDtG(=E)!{s289$V5AfdLw~UpA+i8zL#>$g)-|4}W&o7UF?f{jX)$zaySE
zd%vN1Ax(>oO&fui<fd4ryM%uX?v_a|(9Z;4FS)F>fuH6vDo5CUByA1gxzA2V&2}RD
z#Z@CIyygpgMOo0E0)?bkhaRD(U#<HZEq$kK9_<*9z?Q`S!52xD4B4ll^ni!KOP|sG
zZ~L`!U6$&;lW!M^<-ZVjp8n|dGFGowah@zgJozAS6n|Gt`V5Ss++o&z|NqAj0~ld<
zfPl*vk#P|+|L7=}gC)|dIn&tYZLE;j?L#}A9>NWd{2v8b$)8u?fkzq_GV1b9F5;R?
z+9j{}QuZ|G=af;ue$G$%XjDbn?D0S3#G&+o$Cs4dq9URyOo?VM(0SqP1S8-xbd*9)
z;=?Xw&BbuIe@H8Q$Dj+^n<|1`0`B2=*S|}=4d!(oNtO#wk=!&fY>V_e0`c9_WD+wL
zPH65L^-q(0&)kxtTi{$CNpPToTLPE&AMZap-+RFxZ?L^L4M69aHuWo>XDAY<0cF6!
zkf|>#>z#M(8>P=a|L&jL*UGi;_p4Ehu*$*QXDsEoAmV)KXka?hTGGGjE?R<r)-lcA
zzTHU%IgwSjj@y)B(r$=CLavf-@<1`({4}PpcAmg1tq2SG9RA-?Pb%vV@RzUa8SL9E
z*&5hi|DMa~n2E@Zy7_=2HH%iBF*n|Y<AIHV@p=DEHZtNZJWG-Jqe4)PEkZ`9?D${A
z1n;Vmn;M$ci?g=FZwwt86bDk-VorP!eH$Qzwpn{4Xfsl@VH!IAcLqm+d2QR}!(pu5
z7CC;sj%<6ARi7K5zbWRK@MSuhY<`bA`Um%Y+?Q8&=BdFbgo&0X|Fz|+DJD<G>X9np
z)$WZYwJ|Jg6u$ap`PgoC_<0|LuoivqkL>*VL{}kwqQ{NK2E=17%YM=05L{8zDS5>u
z*rL<Q+SLgMF8lMlX@t0)-A)yJ_&LCHZe)l&)*+kzQWDPKav9~rZWJ6?QaryUA85Sm
zKVf0{n=R00G~dW@_B_?V)Cib#k}`~>+)J-=R`ySZ0@{UZ#B0*a0j_jrer14|pb;Cz
zQ=^t8fKm0#K(-iA*@8Ht7Fj*vtUz!(hs?Y`MqHPcZes<-Q&&K?7!)`G9f-}8&QxXT
z$(b%MF;VdT!dJc~n+;-JFw!5bGYe!II2CW3O)+$>?=9PVg|VZV<-UG@Be9)qoG6s!
zRl%R~3;KG4<j%zA?-HVb%4qp(GKtE+6Wl;?=jVsHcUOzJ=)QYXbj>Jv@AW4MEM}La
z@7i>B)JNgAYSXZMU1J-ugN)K=FA{VhXt^PK1s4A6x5{VnpENC92PZ{z0Qra5(x*kr
zk{90kvipnlCFGlIjuXP=b)C4$*l0XUFskzt#b<6emtI{L7qgAvKiCrAPdH2xUy7V#
zJ`*7vJb(%)?Gjj=4$nRo*zLaUN#I%aQcZywz%3Qi0WEECxT<|S{yf5YIBN5~zUgj>
zP7?gCx17aE<D)O72AC4{R{*m>a)6t8<69yzThR|+wz;|;NRyNQJqR{Qd8Rt2Xml&&
zHYPv*@?Tr38S{f)v{2sNgw{w&_UriB9hl+QL6Ml;gw|~8e*m>!h)1We7xEJx2TW<t
z{%d*i1RG}>`ueCEEOtn~*eKy1n>_Aw51Xm-Hcj)m*w%OJJnIA5pS0aj&VN5!%65qk
z#dEG&)##XZ7<T3Up8ebl*!4p2j#aYLWz@<qbOB@pkq&30I-)tvgb4iszk*wy$SFiZ
zm_*J+4bxkvr*vbrNmKU&*r^cjzr~tPgDbLVW0od#&#I>n`fNoIPV<YT#>0kN$K@w_
zRy>4eC6b~*%>+m{7;sO0MoLi=wnK+fbL+HEr(%|sW0Hu{j)IydPR~QojCZq95gAlR
z6>KB2b<_O2c{<ctMSo>dR`)stjwVOlFPF;1DiJ0t%kP_wWj@|U`(EZzM1i30je?^(
zekj9A^;QarQpVUV6x#DPNfsD!d$@ayKjf=GD2flfMEYhk>l0VzzE*dSC6C-h(u;$R
zycbRm-i-}6*Fg0$`q%MzsR;z@e<$I%3JkCz(!^t?8XpFVW3H>)4$QaN!LSdD|8aHi
zQsIiwmQWm#^H~h0LH;$~Xgndh9}X+b{_$F}<q6-=eB}S5-l(4HThhr`6#WB`RP<%k
zvU&SBn)07p1FfnZf_FQFZgUTHW}a9C#_?^%S6!a2TR28bws^^S9O5L0VVsOQ^9<(Y
zKt0Xa!0SJ0k^5^M=Mwv8B__jbL~ais;d1513^j5`8cF$uuMd+cK&A6QC9vf)mpy2!
zko-ID^TmGi+8jGNp_}sN-MM;^gu_3FW6qs)r%|jV=xL~mUDH<Lcigv$1M^p7r*fK8
z>SiM+DsE(4J*PJ*bVDZm8m}KoIGA6Z32Kwa%my19zhV!0EAYuNb^&$oZP5XzRQzX)
z=bsSm1rRXO4^oED2$*#a@M|-M58I{umfm=M!b%G-CH|)-5VyTPH<>%13^-$&*Dv@U
zUxU9fPU#v737)-p5l2t~VouV0KHY>7g|?R9W6)`IwelC!tuC$PmJ2_8H%0A=ay5NB
zs-F?gjSm=Cn|#iASy6M11f*<NB9TBH<kGJG>Az+rl)A&5oK(CgSs?o3@5z2^!7yn%
z#8$=v7r@r0Y&tcyj`b_hh>oO_R51cas9V>^Rz>BvtWKW?o>EZLh^KYtOm~RKv;aw(
zD#;U)4D+l~j3lb4i%jsSlp?3$-J>Bm`XG<1;77o2;DBdyC-Eb`p-{sve<)Qu<fviQ
zccP>yQ-sU7HzL23{feq+kXg_U%e)PlaMa+g?=>})@<%1e+CP6a%Wi5U;e-1931@A6
zfv+E>+}*v`W%WCh6&TcS!5DDPY~F}d;DEqK?A+E^ss952F)UlVH`OQum*70LzZ90u
z>M)@Xb<aKvcd>A7gA@o55fj^B7I)4;N7vxNDftgI*Gn1s2lN~U7$e8@fgy#<$XCAR
zG6$7beE^q+7AoAYivXAd$unpEZ?Zw4@DJDI2GnDgBHD0-b8)*=P3Rzokhalr&?~CF
z4xIrQ*_(p&`>L}*7<rWHAe-+^-s|)dz}zFL0F5s0ezIpd6_hrMkWgQwR2un2`pI+&
z{Rxezr*mlEO7iXIqQlfY!rEixdn1EL=-$-75tZT0xc4bmKN^s`nzm}qMntaLiZTQ)
zMnzA=Zu8@n?<N`2Y|q~)Ji-?yM6p*%DOljBEKxWR((1b96Fs5M*ul#Bey_7vsi=z|
zOHA&)4k{Y3T3@XJjeqa2&<6-(hkF#qV?0-~Gw~r^V@qA=UIk2k`aixoFnt1FN)R~W
znkdL=AQZj5#o8P#B`6MbJVgQ=oVz($SlW=z-=;|erkp(af0&9oRdE8w0nk|x!%CY3
zz^<?T2z2<Kr=GhBa431gTMLt)dG~1_+46-^&vQ8@S-#W%l6ZA5Qy&S}tuoTg@XfXa
z2&=_J@S{t=;P8yYm3$HJVGE+zlFX&Gm?tYk1!1ym)kLc5Y}}-g;9S}2*H(Cu-;3vs
zyGV_v=Lx;ozH1vFhEr7cb(2=-Y2yG~hVbw&Ql3rs;1g!vTCaoS4EEZ4%3CwQ4E##i
zynR7*CyiH}W;($!7(e@JBo&8rBw=#m-+7bTtKynB+2V-B+FzU(W^MGo_x}BwlHx(C
zZU2pOy^U>Yc){5E2Ezd>R;Y<;drd`s)i>DL^VO%f^isl}oBgqv*b=w@;^sLopunz$
z^$;1HrcDwkk5=qISi_NaB?j|3IGhXm;2-fBe2Q1TU>tV~qq?S`y}QKaH2%x>>BJAe
zuL%3c>GwRE0E4X`;NC1SIW3WX_fTy!lnrU<&qXKYUGJ*ja1-KwmQhzo0reaPDc`O$
z@#qmE-4XX!Baz>!te;@-<o+94&Ac&`=L;E{F?g|NB3U5RjtQmN40&IontAo_1w`1R
z@H?Hzs+`UBNwE-5)ufo_yO!UBdI_$!2&we?vHr@A8b2%LlnqJ>|4WKy<o!7{9O{|^
zhsMQ7y?`%pV|sahW?j+_)eVw2IV_2#I{TM`fyTrDs`vM}V%|Zc)_T%GaReUn&YfIG
z2!3|kfDumnr6!9Y5mFnrN0B;GDLJkMXFzh~_9>YV7hA{9azxKdc5GFO+au-{e)Oyb
zOy$L23<)6x2p{Vna~c_#@u_}6w$nJ@(6zhpR97Ge@Y56;xUU5_6KZPbU}bq$984A{
zEDxvf9_)-}=z<^4hvr7o1gqLV7AeaDv<FqN``NnkmHm%b?4?y@WqET!6RY#{+So79
zYj656F)f4mr`h!yV>XcgNVSR(fo*Xoot2A5xU~e|&&|yh9I?FX=lB?H<=8`atF+>>
zM91ocb!C(};p8%$SBX{6n!?A<qvRblF?N04dPetwal_n`%xny@p%~soJ-msV|4sxy
zB-U*Gf*6u|@C~wHoQ8GP(Ik?_DaN)s7eHuE8OauUWF~Q%r=|U3!)}<()?ZLA^tVZX
zv76E<X-<IwK1!gp9(q5j`GX6gthBhk2q~qkX2kkc;A@6=w~<IO;xF;ZsEmJMWT}i=
zIw^1U^}q%gvlR7xAzLLSA3^*}KCm4%6xXS&CDOGhEMr9DCHEJEgNAbMhkf74;0|>&
z-E_&uLW;e|{!n8IYIIY{I+ck%oXSvrIb3c&sBEDWG+IaeJ=O5{q^pq30RCufKq~ZU
zQ>fY?TD)!mZJyv%3TVkkfmkfK`UsKYc7<Zqq7neYeo?~qBIt{S;Vqe5)-~e?Mcl9i
zf9JR5LO&8yoZn82vl##He6SFNujIM0>;H44jBD`5cil#zpCiW6he4oy_NPD*2UC=v
zoy|u;vBnZ)c>l7y)mcB}Tq7UYY3Hb?!khL$c-LfexPp95EK5Cp(bUpyswLyFIY;DZ
z_?=8<<1kb~uP_`xz!jIPSL!HyAxdskwLi@?nSjsT>6*gUE>heA<;!S_wg6jlGq#vm
ziYc<m7wf5?aP#=I!Ps$Ic(QQF*5p@5E;c<jd#&J_+?_n%#MMOyuQ7<bZ&q3rww)za
z<mzicE3V`+PH%_4+&W%JcxTZ`f|PM?Y=glF{Z;;C2IK>$*Jz)7(JNY8nfTi>pR=u`
zn=Hrk0Zg}L7p<6ntM>ZKEM8aMp-dX)+`j~~c03ot$h{5{V?vizgMz&wXgeUQX|EEX
zN<SLUixS!IFpiQye(_Vb-r2WYi0YlAiT{Gk*S{0c?MPoGn#HHti{vC4TOcy|%O*r=
znX>newI5Q5sIfKG3eL-a2nMZXawh*AJWE<~EMQ?<+p=G>LlzcZJ5s%hSCVYbJ-=6Z
z`jF!X&SK#7F2+RgX8v9l8y)hHkD;{vQc^GHP6rjV#yBT|z$db{e_im<GCz0d<bHgE
zviOwgN{XV58y-9KuN_5Dne+K3MBk(qQ5*E7IACthpxcNMstxWec^6)gyg|P5r`Ga7
z{KB7lF@nDR7gy46mRyXk>BKDL;}u4pLuguN-}isyT_kLb2pWnVB;xfA!Pn;&c3*o~
zS>cJ_a5&uqd4%JnJR`sN#fTu}05qGK*mvl%D_zO6)2gW=f|O>1V49XrIEGyE;C%wx
z)O`D3cRL3rrSy9^JEa`Du5*Qr)ILUV0An0rEc?daO-JGogvo=`squ|<;LNCtxE~3}
zx1MVt>Iw#5<BUf3r-8*Q@mK3>qB<-VKioH2wMvehn(vkiSXo-Ao<95li==1R$|CJQ
ztu)rq334sPd**!5=J8_ZXM1ai8qvMg$u}n^u{CeNa%}6gvsU$K07gpRk<djMcxt+#
zM)q(n%&xT~M(N1$rqTz|H^Smx+IO~nx4Nej(PQ7Te|X+eU6vMyE?}LBOOewdWZ>)C
z0Kex&)~nw~**Yk*XKSNM8)Q|&dlC%&d(^^DHzP+Jz}bHLrSApMSv~+zJ<%X;WT#@k
z_Peo?w}pHxlLu3hDx}dfjmX%o*ZrQ}-qFfiD4YI4(Ag8vOh2r4Ov0&)X61T=ciA`D
z@>v;bM$$j)=faCl&~|iydg>qY(w}z(j{GLH*m%c{c%8rT8UkdU$RuZ(9Gc`=qwJ0|
z;UFH9PdbnE@O$BdN19I`WHXA-(3oriv|-6w$PF82?%<lHR8FW=BFnoqG`4uZBq-Ws
z9fk`G!BhfnqHCF_Lo1dx#vTD(6;>THH#i-&_2Kw)jM5O$JPNmw47QwBmg!OxU9paP
zDEO&%q2@u)ph}+C)WHBx`OtvuV3AULfU4YLT)z;~<li5K{$OwPzqNS@U(PXSxjUW%
zTXLRK%4*v=ZmGz0@nkc2B&tst#Ca!$yhdVtyM-Niamw`_qzMU$>03K_hw<A8OVy<B
zUS-!FNK-Y#dTz@DT9AG^y?;IsW5f`quf=HsX=G@;jjQpN+0^$*<my`MRAiD%OySzt
z1`oAD9OKnqGdB9ZVD2*)i0hQQVq*suXY$<E&T^9Qh`zx6zi12aF%k4~-0*_3Mp#2P
zv?^x<$<?De@iiIz6pr8^rX>3#4m>1kl@4kl3}te_K1xPA#jn8bNjH~RxO%hskvieF
z(@Elp$yHC{V%zChfkr%BUt1Zvx^e5#k0QJ#LJ$y6gVQiUe!jtPzBAKSotCAHos?ed
zfM6V@N6x1%Nl>@}er2}j^l?x7>1hor!y!Ad0&R)!8#gO0un$>&(54CFLbX3}c94Bg
zu}pk7)7v?Tw9pUHt{c;3n1U?RZ}%FZ8j$rdqq*zbF7v|W+iB&eUxcTSEowE|fNvS$
ziWr0qVVyWTvhx+$@&*<OO<9JxGF{6GAhRng_w&<_6H1vl(IEQm3~8VR<iiZ(D~nqL
znDjq*_~ep44M3hQ#*UfRlOVQBc>0y9i1Wrpy@K`#%`fEaujbIrmA{^Sbx=9wZI70|
z{gRpf^aBLa|3qJ}4;FfB>R|O%1z!eVaspcpkb<7R!ss6xR5h2lXlugQDwV^v5DcId
zd)T%T^TtY3Hf@cSGo*O;5lf^+@NfCMdT48OoRlJTDBQ$x{8^}u<vU!&)}$R6a{XD?
zwr=M4pTMe5yc~~x0*i!Ww09GNONa~hWoB#9I<QjjvoY%jNOeiu)BU{u0S9CFMCQo8
z`B~0Rj=n`jwFxZKSoNw;1sQS@npC62_j8H3bL{0{Fro!wEqW04??mjttuh1z?+ecX
z#0Ht>+!_(!w63|6sryfU6(>Ls0UhU5Vso{L@xAl#_clywzrfcJK?`n&3jbjg$vcAD
zm{;f9-3TzOog$sB=Tedmv5@u*BpN4$GF2IJ`A+86v0U#X!Vt|ab$`2(3ZZyV*|0bY
ziT-7rx<9J3zvQ8;Q*SFK?;(Ikt7Af4tE4v{70wf?{c&fL+dMnj@UyD(so9wQ2GNjf
z&VFM=aJ32YDh-q3?Czj?A5?@pfp<{*SFgZ=zfzc}7T6)aINw3?zXhP_E=4GX|1C-Y
z+zcs|Dqt$Xwuys^`JQEAL~`pmK>e@Gk+8*7H%|bJdvJ?UZi_9zcK!&t35_;Tcql(v
z7y65HD?ApHDH>ZLem|d;rD*5rgHs*<|8k5-IIXmn7d6Foa&N`vkUZ?rg=@o1U-KW(
ztDa?0doz5%5~K)T!DjA5|GH&SH3&pMCQ5iaV*VQUx4%<)vv$r4v{$UZH27H7Z4QD4
zyhf_1^-L?tmCJ?`0-Fbi(<EENU$ByUe8d9VS#g^eE$MuO(Kk>N;=O$|^Q4@3{O01(
zp!~$4c$3`^tW3j$Lm!Y-{fm7^Ic|}(`SQ|`?T)h;JX4xui|JCrT%>)cwIzzMu7Xn$
z33k?R1u=iiVT^v-G2JTJ_%(V|=h&#LjvJ*m;xq}z+qvJyWH`z%!(XX_NISg|jmQ*^
z9vA~PIbHq`YG(?5Yr=Jj|D$IqV!<7rqMw?p$jq0jaGo|dNk~u5RzX0oKk<@0<Nu~O
zFX=iGJXZrBiXyJoPgE*xYu!i=R4w0LG<A>BB*`>-+Lchiut?C?_SYSsjwu`z_(}mc
z8FCWB<agNl8-p2ruaetI<IkWq_$FNW<Ts>tiX|G`r4G&-I%(?}YojJ#eMb}NtR`{o
zy95z^8e!f>#CRDo<}Ve;HvCRq=BV*Ko>%Aru{WA(^@iv#bbaWc5^Q^Am{8GpMU^%n
z)+WT6kT+Klk$avYoOGME7Q-)~h$;}g<d-rV-Nsh0)MsF9%uFPI7CHI(>9jeg{kOXA
z3s<rdaB6c*cs`ip9Sf1X*Y9VJaU@P8Y}sm!^+Q=RQ3n2~5PhQaIW;0Zqb>HxJ93P*
zeEB#n+A^+k8_m!;0n9(|w}gcI+6&M0@G_j=LcElkb02)NNuQ4(AmeFAY+PJA!hv41
zCF$ZLWg$VpjvCpWgIlZFNz$6kAKQc&Yy-V@3(qymfp5OTO%7&g!|<q%P}=xW%_!-s
z-z%d2eu6J<<E4}LXkXRWpIu5)Ide&Qh6&6F5WKJ%3y!0ts10L9p_VSTmK2MI+9N*y
z3)a3AjV<D@4ChB4@i;5}A4UVd=R`hjke`uonn?<<`&AfpNYkgmb89QffX9<>T*u)6
zR3GOd-3njL+KG7Y__)ISxk08_*l6rkzMn?>ZG+PT5*S{{Z1edE)S#YLT+>l^(Tqu6
z2c6<`%R4?eGcytwzAl;cn7u;jE;2F{CXbYK4LCJYs}P2&>ft-mZ;Hrahw1I1+ONl9
zCo1gu26g&s4k8$HC^XZWWgiVIH|J(#6DU1B7T{uu=@6T?B-kwBnT-U~3j{r&cM{H8
zEmQ>bW+5{t!LK3w9MSMQ4(@-Rbf*LBOMc}otfj4uzGZ;8fT&hhiHEU$i)O!KE>St7
ztlAR)*58h#Z`)ArTkGxLxin`k>)SIBrZr}!fc4ZHkkM}LIvbs?`8p)<aH&%j^86=W
zB4+RGSGC{miz*APjos@WnYd)m81~HgO=lTduI${H#6FyRu`ScpDMp*BDcop_)NQIM
z6f|>IzbVz7t1Jl_&G?wHPp0N_#nsRoZuWx){S}+yNEQghZ$5fBU9MBB#tVkgTrJ<M
z=9>-QGSs<q?@%3$yso@gVLx^2|Ax-$XfAMbV*lGCYxP1x1^gVI)DhvKk+mWwDE*@`
zN7SrRar?K(w;C}!@r(YhvtA7AZBwI-Jz@0>JmP5Qq(LqvNOL5SOD}nd)rPR~hZg1@
zCPZ4g3AM4dju1&ctUGS7C^yq`#2t;jYtDTvC-~305Lo$yj-p~>P}&@Jr%FXq*V)!Z
z7NF8~+EX7J^U0|!_m8<W7MpR`qjolT!ShXZ%lotLUFdXujM3j17K&~a`q1MwQW29!
zZ6|3p;PTGc54{Pw#yf?y9d*kWZtVn17*`GvUYV)qF!$r3(d?))7W{Q<h8gx4Sr&Hp
zN_p5OhGcn)oU$IplkBGCceD<}%D>+kGjA9F{R#AY|AN1)CVi9_rDwt~=Yzwp@l?Df
zG&=DUPu-~JLE-Fi-7L2C)&AAwew$}o^<8OMl#XeFMj<<R@SJy6&tv3doDEw18Fek1
z#T;U0N6t0K<KHw%H9Fy-vep*SIY92~X}3VaYxdxNcez)loOW%Qr2@*RpJDu1be+NH
zAf5CbpRu4fnk?z=E9nt7?Pw=o)7FZg^nOk>vkl%AI0uz@HwjhM<2k&UAQneKxUvOJ
zjO7gaU1MBm%=onr;}6ZU&l@DIjF`PD>w9Lf+e7WQ8q`{l3FKbzNT`cooxjLWUFNY^
z`V-?sBaSz%`g!hQM2kHN?55B*Nq+C^)n9-E-BwPGuVk``me=~3*zo@UoKL^tCPznD
z=DYH4-hLsRjPizfW%{*vbu~3C#uk3cy_A-@C2RE~A?r3j@&0hQYFZu`4qzOLZ4o|>
zw}NHrgHBHd9EDb_Zyk4Sa8@o#AK#krO$d<=OsJl+$r0hJWsVdvC63hy@31l=d<Ptn
z0)_N_;)l5+6GD7s46QmWD==W9(SK8%QEx&|7sF5oe!38<e8jZ@UL&h?IE-(J2f#F#
z3XAM|{N=0QDXWF|tZ8_oE_yJXp52R_l1%odnjzSLEJ)twyjH2u?tDs#a>XJq^0PL8
zLtixjNaGNhJrrWFgX1s5oyeV-fHn>74H1dkH5Q6hX^B8Shh3SKi^QPvhh?|b3fS5^
zDqHdGNAAZ}AG_)OycG|@t5H$AA~U0z=EHjx9!OemlKX>YK@)?FGCUBW&TzB2@nO3L
z69X*sHzB7}9AuK7(!@oJOE(td;xQLA&`d2Gn~3^Qn+Lpe^39tGeEQ1^w@xbRhn8z%
zIsQtaIn1L)N=Jbp*>Cbre92DWzIe?mvjc^^IyJJ9GeK?_rm9*LYI&zg!h$_+Ac?ov
zWd6VG{XK#~Hdkfq1uLonA8XP@FUCzSf}V?wMH7o!uA^|^FUn1peoh5-Gld@SZ}@Z4
zq`KkR_D`A0E;YQw&cCGB7Ox)~u(oGnH>caYZ58Q`;%TBKOJ}Mp#A%46kR=EA06F`Y
zn>mh}(xyLv_;dS<&$mxuO7Wm0Fu|P1b%F9@l;8vEwhzvjY=drm1X&Wwh)j&sgNu69
z)BTMrBV>7>4=noJ+dlrWu4=PlyNL936bWY;^ip#D124wC3#!5&p+p*2A0=2DD)B!D
z28s*Qv$}Ti`+wbr`s$Y)%e)$v9EWiATU;M8WYy6_@<V>dJD%m`NIX=J3X(AyQ$I|&
z;zjJWa`%Sht&r5+hsDxic^u8mC3;>ZXsH=jvt%@3($MPDpWn#*QRfo!FY4Y<VI4`K
z1k&kshF{1$n`s_1cU<wGe%#D%=d*TtNosyOt>`Y~+@byzPJ#J{DmeY++GCmK(wxQa
z#~4SFkyu_Wjt7b$eBpO87OmQtz$@j8u$KSR&H(T4+dN^?am^naL$AHFwXOQ@hnQm;
zXf_n|-7&W0wYuS|gW2*~Kf&c0{x3}|29oRU;Z<M0FO4LfV2{DATQNh5eh>{PP!Eo|
z@8k=Cu6m!ac0FJ#4I`|}ujkDQVB%BtZaXRtf2O}t(4JzdVFz9YK9tG`yNI1F_J0d;
zN&~?1rzzI_!V+4mucYbTuGkG8G2|d<NtU`u<Slt?_~M~PP=S28i}sr8@%F8|DRseU
zf|~YFA@h?li1>v+6@-WLxt?bd4v3|D2mN}qV%?BERovxxrGH#K=Y$%)FHl4`L7mnB
z+PP7NA?@h5e$Duld46zkz}s?Iqp%%5#NkEh?TcbuLM1Z@iJ_l$2&m7eQIHl$<1roV
z0U&sPhXb)hxB|!eCxb+Z(d+FT??rFs`>HabW0dhmUW|&#9r6akxWxj%7T)KQ8?CD{
z=4Rd}PDXF%J1m?qWEYY6mx9cE<I)#uaU<i4Az!m$_q&cdJ%26SY-@XQ;(R9u)BE%j
zyDc-{CaT=KCW5%k_&7bwC>Och_{y+`xqR03t&*iUdH-HA6`7Y4B@{}$Xj{keieF3X
z0M)*>Ut6nO6m72-)1bURdx-QlU($`^58R6WYHR&L5e-(L3LXEIle$!6fuSXs3ePOi
zRex^aFY-WiPA6B_yfyx-mfEH|4Dd+!>0+4Bx#<*hp#VVQSU)G>BsQ<sf%7c*TE#b6
z<@DzC-<_{r<eSs*WtJg_?hQ`w<5W@(*1H5L=~+U=Zd3r5Y5fiP<F@xD_l*u4LPnWB
zMsG1C?Xk3e31_w3?0s#_2)c0q1SXip%RR#+ZE)QINQbMoS&C_PZKJGNl<kjQUe$qF
zFQ^dmqxl7gAEd0R-pcG>N8YyB-EN*akU9AI5dY+#9<;ERbsjPV4~5~<Wde9nC*CyJ
z!_G+5_ws7hw~wotXCU~Hi#i^L>CseL>O5gTm8o`!m(PRVZOjH*{~*6hfvKP?Klus*
zGvUSTpiYoy#J7i6aeRG(N)7%?SSe_h6&dm(eS#XRL2TG1$Xd~|mw|jfiE615Y0))V
zp<iFh1JNg}s1JA|YsGq{fdCA!G>>W~{2XUD_=_o@7UgyD&%xE~zmkPAEL(Q)&`}uT
zIgy;2!M@~7<c5<Il>M4KU+va6sQK4e*#e+-)xMH2p*O_l0=7<3ax%Y_=DPAM*p;5$
z_}GtzBXOfrYP@_C7!j)eQkS%26=jWxHtx_llCkNArQmq9v0`TC=OlDpDYR^gi_J#U
z+RB%nl4L~VJ$4x-t*R(u2qsxQk;D!Oq#E}s6eL}K{4!csSE&-`5oNs+tANull7DVE
z9cWlMK?S{Ub-0KR(AM@}@Sk+#pqtcI8~3fa_H1dH)Gu0<*{5$355jBOb67r7Rd_kS
z?Xhroe%ScTp4XHL7AeI8mVnli&GT`HYX62<=X9-;OKwt2Kn7oAQ|QmBf?Po>{eTyw
zA?ARFRhnhlVawl#1{U~p2#59dF;Ik{YYZj*1<lO5Z+M7e070OJ*Tw6pcxw4c&?MpR
zFD#+GaIB7xlcn^4LSO08C;oCoM9&-yl92>B=ZLp#fvwP&mM14YYCXDPB5mk<*f|ac
zapaV+RHA>#Mq^+ag`V;XM+<U~SNV$>09pUQh-9R0SnZ}IapAXfNLiQ!mZgGL!nxQ9
ze;%L_-7FoqZlOMUzrh-#c5YS1M%oU>)WME(F0vNe6W2z&YUs7eF+%aBK_>b@8iF`s
zJS`|>9-(Mqfzw^>!6h*@U{Q(ZspWzbut>vY(jOD>8J0aGt7Upnr8<Tr>o{$sBr&r;
ziQGIwc`r7SxtBiAQ*)ISty_BD!Z{)CbZZo9n(2GD2Od(zy8LTzI1RV3-o*_h49>^d
zidk2));ym@9APqNO6NbKYTuLk@uXTC|Jrp{Lj$xH?$Y#q^WxiVqdY+9kmVO8Gb%N?
zdpebjQMayNxKno0ZfK`>eELsl5(GTD?#j`G$<(466e0Ez-sh&DEW9O_ykEv$HfT*C
zZdl}>VdSe)Iusa#M*UAe>i5aif3sg_UL`UYq7+7JAq~QI{;}st>$Desjh|R)0b=bb
zR{{i7%0_&($~I`m(HDT5p-e0oHdP{U1t|2Z@ebQvNrR1Qf9+@zY{xrRwcBX4Bv~x4
zB(71k5}|@YV-2OtPcHyv;{W>sD3}-1-Agk_ueYjn#}a|`A77ck<%{O4El(ED)8NeV
zN4fT8^r=rDsLJsR>2J)8|Jbq(<h4cT{LLm48y1VkVL|HuMyptASxF?MsIeJ8Qch9(
zldRL$v33F{0{@$Tvw!VC!li!Wmy$&jx6Gbjoi#SSubYZ<?APu%Q_Z=DRsr}FZ^Me?
zke3q?#}clr;S3Kvns<TIzgf)lmM7xFx)cf(0XIR_0~Cc`cQyT<v#aelKNR2<BJ+W|
z2w6AZWT!sKU*w{UR|hD^fHYq{IB&DZd~y$qG^-yvYv{M5_IB5>+=z<D@|JTE%1@V#
zddR2MViLvg6jU7Q2`^h{Lt(yRA<W7dHm08Wrzu5O8K}OfZSG?sCrHKv-{~+`eJ!?W
ziOR?wD)TuwA}Au*8#Ctv-PC!&ZD!0Dk-hNxz4uz`(Ulf04TO1lfOy;7hi~r<h7kGw
zBoD9jIqO*&_lw57e_$UJIol#{Cw3Mvv5}(}hQ4|f-o!#R2r7FMVys#P3!MHIKcVN{
z1}L{D>g@Z@@uba;o}NsuO1B57m--sf|DP5>Zslezdu0cRSUMx+WGGM$ujL?wydn5>
zh^Snb-qARtJ@f%z4Q*I85(@|m6tcw_YJ90(RbK_qR-%5)kz{izS>#XhEeD}(cuWjD
z7qK7EmfSZY{iNV^Kw_!HFHJM-Mu|&Zd|qv?DnDuspNqQL_LF-JSEm5ri2E<Zq7~Ze
zjr>1_wF_y=d>*gn=JZ?_3R13?_MN0w-yM6{EW^SVVC5=HTcF#2f$<ZrQ25u32s40v
zo?@s}%`qmRj!fJK2U>6>48oS)tU<f%T<eN?-v+&vjI>kxjJk)(9IX2?_~E4^dl2&b
zgbp)|{b~vmUerD(=7US5K~c;azSjd$y-AFc?*}RgOcOdSq8>T)rCu%o73IBW=_~!%
z<slIkWO$Mh!obq=azcbwD(iwKlWW%(rER=GFlF|obIp&SQte};enI0yy_KB3<3xL&
zYt$2p({3^uD?rH0?)M@Cp@i^B-p&))#O$@xkCmnZHW_DQ3lJVFZWn`h7iNz@y#k4$
zpegX&?)F-&iP5L=3soO<0?)dS%80`-*XEE*d-h1H5;NJ%MHv*6#}|W*NBJ9?(*=_i
zKFX8I;8}-#iNa;bYjV6U9efqANNs-+DVRB)4jthCbneMKuKQ=-X#v?ed-e_0t6W(4
z2j8(wao(iQo(t)A;KyqmVj-7`NJ<VB)&ZiLlkprG^TWojD5c&vTv4AIVT5_G+FmpK
zjgiB9JDM$QGJ!*l-%age-5RB+-O3#>?$ygX8`-fu=N|k(@7@l+h?EVQE%$M%`yRC*
z3}FwM7u?Dbn_YF}4v?5I>}iYPdTbL+xp(9zd8{(NXu@cYD4RBN1r?vU&|LPhbN<5d
z;Hg<b^*p}t1RY}ge?`_It3fc)Ks~6VHzDfJiTOc;E!lsegGwcr_}8KQBFCa+fv}}j
zjbub#OHS*zIh$5sB~wFXY4G`+6kSuCnOCp+k^@7I9yBBdKOi4(H#i*7V<>4$dOz_G
zDu;TK<Z#gNWvg!{vP9G_fE+akSAU5!@9d-|f%=i!@0)$Zm_I?8lEe0a7Ie*S>yrZ@
zF;!IrIKuEKET4Qbo66*cid2{cZs_TYkzslvIWn8rp=OCzQ&2dxg1MsEsar$!U#vNm
zz87SQs9788wv(O>R*#?J|E$!O@=jM|3%6mUI5KkF!SYSlB7b`5PJ(fCSH8AiA2gq@
zNRJJF;<eL`g{V0X4;rs}#&ZKw^)&)eh}>6)Quy{8mi>0TjGj_4not(>XxqAeC@nba
zt$=-DgB7Jg`CNdGtBUaDxC|`px;0t32$CmT8HU)A9KU<>C+skw?Rv571ij0k@v7On
zQr~?3SLmVsWOUxY#H5F_hB+$eubI4PaaX}bF}Nc;o^L<GbakF*oocA3Rb-W;E_j<I
z`RdIWSDUZ<TVlwl8Iy7zyu%N_^@AK7*{;h)K^a`6=lntVte+c6$@~HzQ9Bzn@;V9o
zG=s`_uIDw%@5%Y^QA~=<*2oVTB?X-N3Kq|#Hd1jMi#9h_q)nhNSsOOoAs9SZ(t(&w
z52$iln|)=|)dj5YmGrj$Hwlr1BKk_k^-=SQiE_g>P38YIjb!4q6U*f2!mX_uJ?M`R
zdNN4gx)B>l<W2;xjs<6NR<R?k4aF^afecF56od|BEKq-my|#=R%gYJ`iYq(Q=Ype{
z0AYHdK}s_aqx|Rlx)0Ix_U%>pR0(6Q;J{OfuKQ6%)DvEBf$f`!uHQe8aaQbZm+Ua*
zRDcA@e1o@xm%4Rz5V*fLXr~wDLiGq<LSjB4tBT1jgqx{oyk$%IbXj3eXDPGk3Z}h#
z7v&#@&w(}VmNV>+@j@om-*U#S!E#PMLunok(QSLRU&JO(B%elj?5q>drB#T=`2_-q
z=;&+%qFWF|S;fDSw~~^TiijOqS+>iD-9Yk;a@bJS^zKy)?6K|l^u`H*H(NLN`%s>a
z`Z^U3mMo6(<pgu_hfH4|9Mxw)zx~5cy?fNJ5f)UEd{CB9cuaWCZ*NX6K)q+dXa_~H
z#V3w2@9p(;POaqlBb_9~R%(Onftjz}gPhjSQv}ry)i~K}=Tk9`yX*2yZdux&aunZW
zivhXZd?<B6v+r%^pNTC?D~+T@vWkr#`UU&%67WIRqyw0t<4k$8<gj{CbhT0kek4;0
z?SdG{%_D@~WFP^zN&yvkr`GqFNEtzB%rjS|j_aoSBj7IQ$Udh?MvkO)5*5iu)fWzF
z0;0A2nt(k}R9pDBzTOevecQRBYU|OI^50K0p#WkuvFlUgCoMx?!QX{`+UffDLwj5X
z?X^fXqML>)e`|$)d${VsT=E|x1s1tnb~4<2&$iR(8pyZ|B~{Aru6Tm%1p5=d!)bjE
z^lt2VrTg%Z*>Vzmwsc_k2*vi}s{4*b;|JULo*xAkzn<T?1P;*ey|T|QCpAJM92LUK
z%LTIYYRt)c3dGy(^;POS%qc8w`moM~^J75Q^$e7!!?s%LlSbL}4fWK<n$*f7ohWGR
zbzCJ=x<0qsdo2PW!2E|qzzJB#`*%_Tmi)|Y%RSg8hj@Fl5E_F|lSNR1VfxI`cfd&w
zQ&bLUC3t5xn3s>({>D;E3aT@yrjd+FkRtgY>y&(j%>dm)!+N-ICNgA4s7VWD3V`S>
zGV%p1oH@UK0s>IHK0T}*J8s?i?6pE-GF1xAF*_F-F6tNFrkPHh)9b}2zis58wtGx6
zfRt6%SnW3-RAq>IUhXa%5;n3#{Jv$@RO*0Kmif2wW&+rgCKM`f`;DDU4_9fh@8j2z
z)Fs&YfnPjY=%<w4EKa|b2M=cN(yPJ`d9p_qWQ7$^{rhP)_?5suNej8*v3HX(l9i8$
zW_0^bF@ANR?_XYhhog$nf4LSof+TD@+;{dG71YC&1cE=`l-Y1QS1Bck0?;*E7)ZdF
zeGh%+&Hq~M=QJIm^ACToi2KPPuho~rsXM@oqd~i-h2gtc8i1}`HW0p7$NO*OP{I8)
zNf-zQIjM8f94fLd8Va};paA8g=*7`wRi|m^^s)v6(;;sDfm6287WasOD!eay6b!$d
z9(vQ_NAoA2C!r$B{{UD9bPvEMK3uN%L~3f)75GI+J9)A<xbO0~Ei!>~cfn$Vpo{Wa
zwVe!?*#Q^*W<AU<Hjcg(+ddUb-@BRN6;9>b->_np_J^(eEag@E*#{(r+F%7&%Uj>P
z1g+bDMQxhicSP1z0?u_*FbgqE@M1<2t$;!YH#z3@!Qn4}bhhL)wv3(WwgM6FjiMmy
z9m|6ai9;QSvY<0sCD6xvkf_W4w2KzddUP<#+k9%V2BgxQzW8*9x{1+W#6PuvOD2M;
zbI#t2Ndpc8d2P*OA$-K$(d)OV=-#plf7sl!)BT?JksbeE5gSCfeB@J9F0TzvOr^yO
zRWxM<t)Fl;;ZHb_r(a78Soj*8$V7!KVJr~PYC#ZhMQ=}H7+Jujr8!Rzn;0Qo`3_ZD
z=EzU-k_`=qW&SLMP%Ej0xU)STKcJKr2ln2nI}pv+tIouLH~r>@L(DjGV-kRPuZ<q$
z%6^1Q{|C4+LM&8DtM6^U$8vY;#qfnM$++udW;36)Mvp3H@LEJNG>_J&)f$nz?63NM
zJGknW<@3?F&)4||iAZleuibhMykpHJ=yP{T&*^)au!gd9IX_R9>35$y*XP%~T<-BB
zG4!p|3kkd#F6))fErTpRn-;&dC3r!Q#PvGk=X<Itf?4$U2@3wbPBA;zf9+sY(U9AX
zjZsmU*c*pD2KWumVr$-wEM$MLn-kDo%SpQ~L&LJj69q4Tg`wj+vhQLD>ktJ(>>qM!
z=kdsQp6&dci4=$_=8jOj9DWehmz7!BPoyJl3$o-HwkdEh$+gmOkG9)MM^}C?+2&j^
zeNO!kl*cU3swF@}I$X-%Z!GE?Mo<KYEc_s^CPEgCpoHRV(fOC2(qZ7=-@ozq>&k-j
z`1NM1B>4gD)PwMZyLIkV@LM{nIz_-dAPY(WPWyLr@tFC^(EbZ8(#OMXXD9iue15$<
zxzE#S0$I2+5B7!|39qh@oej3D&ANz>N(>j<SJBbmnF0hAO}!<=Fa#hyc`)y7BZ$we
zF6e4prmJw-YqgE6yu~)_g`s=Tz+meVS$tuY^ZYWW_t_;%e0>24RhjJ^oD10JTS$&K
z)NVLGla$}6rR&&p4ZU!rjO(p!0^FV52OkliWnuHIsg1m9W6CA#D$tvC!6Vpi2H!42
zA=AX|k5|*5AXRM=xkEIe<UB9u43p#nH=mV@tmr$&svJx1j%Z}4J(J;3xf^@>1G7?u
z33)g}9)7<4i`f65-~T7(x?H=X8br=RMEi8AWFkV`pz;Z{(vr=z2zhTl?}g(9XmbBw
zgIgK_DmW9%<fMo;r11fQn;f?57qXOWz|-^mXv1kc%xM^<Zpk$&Yf#6z(m1)Z&?k70
z2lvTl7-SKu$wo{Sx0b&8Aba^<$BZ5x>ezi<-?(Fn*#06Eh#ArWk@U)cJ`FdO;Ce+A
z4uM@m)%Gws)N4_+d{-14C*8I+vUXVN5P<tZ@2)E0Tt)oo_cRKXkNae%7t|M%SeNkf
z^viG&Z<46f?nOK}ix({FcNFu3JDJ!2^z6`ZZ!C<X$f{~6zdcJ7e7|=C67{%DGN_!F
z<|ovnh9?DG>olmqa%8BME-Pu=eA)(C%1pM@(Kg03iyt>&z{p<bao#xE2ichAdX-Yg
z-uam_v_;2-@^<RiZW2yAO$p%y9F5t#UKMHOU;yZlytZxfuB#g+eI4AI=~P)D15MxT
z`VFfikXp0B%U)@O@2uv~5&}R#oeNuOYR$9;U&8;-hHrpIva2aJ1|+@mUb)UXxA5Wb
z!Ha%eoQhF(eEmw<aLF0`TSRs-Oh@rIy*gVbw%71G8Q7r@=wFIv)?)DktX`|;f4BBq
zHax-Pu#jBW@3yYw#?LS#&AHfSWXPAR!%&ESBC@8Ub;uP>F&Cwu??2wGg1r-S*Tmb|
zA7AwRtjJ(v&RZ=0P0jEFE*tb^WpowyaZVAU`?dP5)$M7L?88x<f@XKA3Cur$kjilL
zsH0#=2OD&;)*Aeyxv?<0ULf~v?>6?mGsUOq7pp7=a(R(4pBmjAlAKQb_UOE?UD5oM
z?{87F?N*mz{*PMFe}UK>LWf*Xfx61{jc9(R-wy{ckH`8XJ;wpVIgF#{vF#^RHffm^
zpfUkaX!1x+>$taAI;%*+WVxXhJ!@hV3qWy;y;h`i;b1^hqxpU)RNGaLH1Hf>yTKgg
zpcoEek`PI9i1)km+sqCE{r?3>JUM^AlXm#EAwF#SU(gwC(@~`HuruoZi<x=JI(cA$
z%+M5NhMG!Aw8kHD%$R?I*IIAD$ZKsd@K#ln6*WQ+BTlU_=?I53QDsmUSF+yi6mFHM
z@#qezDVIdNdkcPV!gGxAM(yBYd#dGEoqATQZcF5oil90BJk0|KRTgVvM#{1;DnJ~M
zNxD!H^Yj!_?l0X`Kx00w!cetGKK$D<y-KU&kQT3bm1Mk-aq;0|TyN&c73=6(x=r-=
zU|w4n?m1|cU-I9LsMvU_*9YHN^Mcs%Bte{?fCltv6M&lbTy}#!e$@J8Nl!L+X2)Sv
z-D{w!gOupEO=3>&2N0i*6B3fJo>rJT1<_)ub1aw=c>%c-4UxnFUK(vlkZI!;fQMX(
z-CU>n$JlMb=7wux3%@Y>CRK|XA6>5Obz%q6{4)Gn*O#U!+?dK;VsN6Gg4XXhvTOf$
zTx1~L3eLF$4hcile2a0c*zgje?zlCepfS45=jXbJdWt0E>*#6M-)Lp6hp^aX9`F!1
zC=qjmr)r?_0r3kBPVEG_uP6!w{zEy{K^UB%mz~N&1%Jh9?4v}HlAOv^M4>hLR`=9%
zT>UNi58xU?SS8RFz^aeNwfuwqo;hR5Ndug@%{9>*Q-19aSF`$pSHn{((Ji~V=vo1|
zGe<aiMn{l`h7F0V>a~w~j2qF`tEkh$r;Ft;9*0h4c}{H_ycn*`oM9B=zH?_&U;|cI
zD$`ppwCpj)liHgVYd}e)h3KSK(6{OiDvjJrMh?iRAvgsk_rm_5Q1M(=G_33|uhg?X
z^GMW*13Zey6mZ&Y8t6Bb!z2n&QR!U`^2B^=*6_k22t~10K|hx;bsX>t>1<i>E~YRY
zgK_`4Z|85;1=DMlk^{R~SW?8DNq<7h|2@Z3+6r7~45#$_qe<3L!KbDqO_O-k7c?>O
zI3#gD6WgA~$V}`35GFu9BQpk;SihUfapd(ID$pMgGiH?<L~7uK_(dS~1!!Jl-owk<
z*$880NzK94yvs&x$F24(76O%fr(GK<=imDDUyXAh#51ZKyPf_)fknom&w&&%k2VPj
zreE<VO?>_w%>9z?-@I%s<NAbO$uv#q1NYT+%L&G!<xa+2=-Tv7VI!6;rI*_he~O|I
zc)0nF0l5N>&o?!p&lV-ha`?Tup-iYiP1`7wNPLNc_}TS*mxwkyy<H%jJLe~(;DpiE
z6X?AF=|l9N*sYQug3w|2)4(oQ(Uui`#P&`|0@(hKcf^6rN`{2bU7Q5U(bK4&8XnOs
zCn{RnHS{aC2Wkxtt(F8Z#kz6qmyeOwe9LMu!dhekrQT%JMv;yR9QJpfc5ta;q@i-=
z%Oh1*3Bi_;o#qM@O5@O<a7djbr1<~zP_s!<$L$ZWP%#@AG-Lwt#*txaBNN33xHzPo
zPepH-WF3C?@rF|YNV?MBzQ?Hv@MrqDO3+^t1CqMM&{IaV3V*6dI?NfSC}i)r6Ecrl
zV}sGQbWovQ@sakAuZc#Po{Oj$6nJkI=dCU*@k<D&#8@>qs~k)+Uf9$OV@)+$l3h63
zz=7TN(e21(Zlvv~URUsVrQ+U$D>>YB&&yZ#YQ`b!+L%?*XCg#)!|l`jC*n_SUl;rA
z-A}<BBgvMBBWNfHO_B~^F{Axs59ioiSAV$PP87xmND$#?kD~-e!9@!?fIR5o5DhYB
z8)!|bCPAo2oV%}tc`Szft*}W}h+7`)zY_GkykCwMzrHo+ru=cP`?|%D;&}o7AX*UI
z&}{Odg07&V{k%95jj?4I2zpn$45*PeO}RkDjW*78K-!NLgF-!_D~u(&$w0?XWi|Ng
zw|&G$%+HXBJoGVXW;(=tR$8v}%lBHFXo?e0PZYSa2hoOQ?i<g?Dr3B;@9v3l!Z*$6
zR*hl|q`I5sViJJdLGmsBEkYd`;sRCY&TGdrynpNDZc=wrw=-ed+c~k(KpP-j(t)9L
zq+3K-J37M|yD7g-Dg<ra$)nP&`^9~PgtwX<rV#B9niPWn0QJ_0hCx%1C*JAbvBwk0
zX?z}sRQnxcx=4^jpyT-++xW-cK&O?SeAwNk4(HYWP*tnPFn3=$+>4S%#=%L0NB<se
zRkx2$l}w>`P8z}jeZO%jSEwVJdwcotqd~)&YdE#s(Qg!or!P--%Et_wCUH6%ljq!q
z+QA+dBMsQ%hJMgCIHIXr<DJE7qgsBFyr~UJm`vyj%#R45z@)SjJn!{vY1C7J8^X<3
z{hTy>i7f;?xU^a+h!1ZNv_$`zvu}N3>=;7>VXbu!WzqE9ZX&F{_d)0!6C5Cv^~Yve
z4Y21&BRv^(Ne7BZUyK6Q^NoV}|2w@E5O39QjZwAAw*%!L+b~eMMI@4L5gqYNKw-BC
zK<*3}zvKN|J(r;om97jJ4()e|fYUlALlTB_<TAl~18nw0Ne4i-#%WZ@{S>4vJUZN=
zD~j&4NHJv>-w2?xk;#0e=;CF`o~kB`U^uN0EkG3)^4VoZgS98euQRte!rml7gZQiW
zXh#_IpO~29dUVF;i_lrx0W;$+>7E+^?Iv;6dtj&6s<GOx+sRcbH1w}VNKRV-OObH?
zRc$5t=pVcFd1Eq=oXJKSpX-(In<_fLzbrNiQg9n|Qx&>9e?yjB=I)5}ohS6>a+pZP
zf53txK(lEX78nd3hUC0~eOSaq+inzOFmpho7@`6=8<<H5{<q|ch_~7Py_#Aw7IM?*
zjzXJAsAB^f5&=lX>lZNwGV7oDE6#OS+etaz{BEF5pI$HhPDj(@tOq&K>_6&Z%OAWb
zTqD1axC@JqbEIIT)}IiN0R|l;%pp(Z;qyh`VLo>wW6^Jq|HcpWLK=l)#Z{0~*nuAG
zC)NEsP%`1k6^sSd-qng_li>fM>@A?8?7OaUI;2IUTS1YO&Y=W@P*EBIN9pdIp+RYp
zZV(Vbx;uyN?q=w&A!fb{@B4ZG-}isxx!<)|vu0h)S}?!d=bU}^#!J1aM~{3Gf|fd=
zN4$yaN;tgJ%h<98AQ-%R%_d=`TW4EGFso(<H-lG(D_Bv8>MB=LmY1UrtioTz{?M94
zF&I4#nhh~=iDxCHZZI7`y^DGCvfz1MYY187Topx?Mb#Ta?w1Xh`=e?q%0z(J;X=6E
z^@b9ayr9qoOr&Kv^h`LSuvoHXeA9FUr*>TTSO4r|Qov`d0lfv2Hu#iJibOK(4o7$$
zo<Y8c1B}`@pVwhy(7DE8n}#Y8E{?QNRM>CKqDCpwJB~iNr3Srq71aKtQ<Db9a@kJ6
zPmdhaXBL>(BeBC+rN&z@`2LCk9qB|vAbQu1(~rb^bw^dO;B6Cb@Qe(D_q|<bwxcjH
zslhs|qehdoYge+x2UCfpH2tAHPqJ7l<$+!o*Qa&DFEs=P6w?1*=z#1J`J#1D7iq!A
z8{8oE7dU<xbRhRD3_rqizaUnozvzg>x6Mj)egXEzG7Y|+<>6?6xS%WqQxx-v3s~y%
zXjoqj1OgX2U^W=3h+_piZ$~<)_{dcKlvwLG6BjD~ZMyjKupLv&KLbvIp}A)9J2PB#
zJsWXM+4d(tXWO$~_#9g)f~eAr7)iX*NQ-oBC4ttSSerMYZTUZc{Ophh{7YKc{-J0E
z=AEf&ShXjsY;KPhc154rCmm*aiys)3n@X2ESzQ(amai1hR*c3!xbL1G$Lf0^Vot|*
z!97HmlMXB`JM$J(p5DiBGJ`rpecT(yHb(}^a7B80R4U}sG?q17;^^`3cX0$-9l+S|
z-Cg`8O3v&o7v_6SSHj|F-Fn<tbIz3YltuQ9-7~fWNuco-*MmQm#Mf-hR%yg!*8`x%
zy$4vfeqoB$0xDxaNSN+z+-IK4i_l}5ko{UpBlxs{k6q7DT(>3zhSQMnCw&L}oo6h(
zxCp!U1bt~0KP9iua%C?ZCLXynKy4X8B0s>6CiAC>K%2RV@-vVBfh(oP+BG`MgarD0
zD&pIPRKy$;E7R?*Np>4y#*4c27U^IT_Wxvk@RXAA@r+xasIa}Y)0@W7w-efzY}6dL
z7s-A6rpfH%T<FbqQ0xZ}KJ}Xwfx8jfsdMWbSxu{im)y{s%GGakYT=;6i#TsZB3<kN
z)uc(z206J9zVCci+1~e(%`@lXSENx1E~c8=$3OUg-dR2@bfKEZ#?kJ5RX~Tu3%PGy
zfiP06yBH3JZdGFLNZSRPmAze0+Lpg1&9@Z={~oZi=ii;Y5PrzK0*I}B%6n2!<?{rP
zk-bF`ig<$}R(Dq$NonwG%lV`n_VBf6?a)@m@IcO;mD{VoV$niF6l5VJhK&>7n(r6-
zIx}N3)5_t<NC6}S+ZMQG=U#+3a{?L$u#l^j{cJGoo^<L(V3YoV=>Sll#CvP@H}mPX
zcYvRim+A;gTCgrf%rfyEEp+XJFQM0ouLQ9cVdQNP102tc=txNrP7A!zL*_D-lzIT&
z$KK=30Wolk>&u!<_8SM>PJk$u*czSl4(St4M6N@lwHP=&-qtz=ohMW%uDfmEkQS4e
z%J2evTTET_R*dPV5ytJ23gW4~K3bcCX`ZS^#GhgX_Pg{xefH=ywOF>N@VeaXRA~;?
zgc)wpfLOmVJZNKdd1zl|o0*<ytwwVktIPboL!zVn`L3vy@=w7s-@R;vF7Lt@0bPTE
z{11VztB>wBiF`EH^F6#+@<PW<so!t7()GVng_=h9IvFRYg9#w*_fa`XcHN<cjmS$V
zKym9)?RoVk3#dqZk4GbtyEurGZ57&wr&z-dm0Nh2N0MDYp*~XH-@y;L?mf{+2N-xE
zPY9*3MG0F}aeiavDs&X1K%J)%#!L@yEWaFS+t(FT4`VTYk|L_6D#4NGhGOhYoHNr6
z2w+HI9+~4o(|RaWfCI_K$u|3YK~Plo(Z3k^M|aZ>XU9kzc8VEST{>$bw4JYOcb|1~
zky7)HUYfkV0#1=-CTZW5aOS!JU3>)js&wZtK;*qnytMD!jnH8xXTF^eOVUL`Hw&xl
zi^KT&diRlpmfpg^k>f}f(#}l}@xwjvh3A70ZQ_Qr7o*eLCq@tc)P7844FI388H>6@
z7>{y_gs9UExJ>Qcm9(pC=-Rm!g`GE7a`0ATs%6a!vq?D;{i#xT0=uYOPJaGZM>O!S
znqBS&cUunM1r^i&-&(Dr=1py?<->f05Ds(DjS+>gEWgob(Wq~R*~M5<Dny_aubQ_N
z{({lw@o1NBzTj|4qm$DK)ClKYDthRd%IwZ_qNf7JyIw_xJ4P2iRwN(A!o@dNJ|!y{
zxOWGlZ+;hE@UXWGVMV61{%Pj}zOn7y#evvpW?UI!?{}?!MAkh?AvKJ4{C-b*-`9Xa
zi_J1-q<*OZ2aQ5YT=AJpQ^BMK@}0ugQ9CthN82(^0Tv`vcRzk$YiW2#4ArCxql4-$
z9dhAmP_DL4JwRr!#C<P7^Lr|O=Iih*UR<XAwibB1Swpbgm<ku9&wx;4^G+^>FeA|o
zS_@?jgO5_cpWO^}AO%WGmgv#9z@azHv@*Zu4y9TtIjwzX2@p6ez`qVKGm|F5`jq2%
znM=>6&EczX<F4I%HB;J!$u2pJ+?MLX%f}D~dG_%`u}c@KzSEeYB>&7?wEG<`#HR)@
zVM$+@hs;>&CE<KYI_qxZpf4?-ciLv8oLi+ny^{5aTez~RRs30ex5T(_{MqatW#e-q
z_tkX%SRJG4S1&C;DP&gf^3<5~X&gS_*H-%+f=-Wd!RQ@?87`Q{Pq4upp_oLJnYlz)
znVz03_`@AAfe282XgL_0m*TXQ%cu`1*Ue4Acf?9pa0<$=3WKdy40}F=i$Ul2GvP{)
zxk8}iskBw=-Kg!{oDVLWS+OaWV3Yqi_?e6D+09|w-TUN@7s?NCmHbYqR~sXsav%IW
za9<>37E?0n9-*)A0S1fhcGuK^Dt~^8KVe{q|3zx$fqLk6Kum-=s1p!MyKk=bTsI7a
zZ)zfP=jq*LqE)sgRdAabK+#>>f3x}Z=-eB~*Z}L}&k{-FYc-3gXL6Sl3Vg7+&-boU
zFAQ4giQ$UY5}S14^I~u1J=P!c1~6}tXhdaD98uB|TtA-9_rZx@0_q4|F<N+3LIQ86
z_MUW;vKD1TN&Ew+tZGM_?9F|t<4q~@UY5iZYqnY@JVbVpk6ykb(bHJKSC?rB>sIfH
z`L=@<y@IT7J2q@1)k35{sCR=`KW2g7Xp}L#mkSl!c>Q^6DUea>m;3o1>JB)%{~XXI
z8`T%LYDgZmgV}N>C&Y8%NlFBX$a{I~n;1|&u(36WEN{&?JoUvP`UUIizzbS+H594r
zO_PC#g7)iV=;L@pjjt<X=K<xGDR&^fw6dD_hvW~e-g{Bfm`~wf?cD(=GetOz|JF1t
zm1CVY(}VQv!76>wjU=urg$PaiHP$lG#w0s^yhvj338PHs7X>|QX_M7*(zoVeEAe@5
z2hNL6tyG~WajBe3t7{l|3o2(VwjGsGH}ImH6vHH}{D<s%Z>a0JfR~#z?Y}{;v@Vty
zYo=5Ldc=Z^*rhXC$)mhP-(iGvhfQZ`L@d*FDA!-x`ZWZ@<E)t9?>uRjsYmA9>IL08
z|MOw}4CTA_W915X_Y9wUsozsh*2?X~nmO)Eh`Es7>01`)M{8FZ5$;oC2Ijn6c`>iB
zVcH@}S*RGtUIBVf5j7be`^|A<CGx#iL9bIxBhc=iecL09Ocrx=i*WruQoIhs>)$C(
z&!s)(X>--1wd}FfO)4f5KD5{_&f-fhu8?D}qfkWiJm(^Wk8h3ULau=neSIBmxuK+9
zY67z3MZpu3${|SKo*`}P+9%?KRkI_W6D0I<GY1qXw$1<Bkf-bKZ%2nAka5}6wNRuF
z+zFjPgV~|Mv*)?=*1wW05L8DDe%7IOEuZiF(54S9t1_cr6Tl+^LkP8~OTLj`nr^h~
zGbFiuTySOODJX*z)iija)bOagwN|<d(S2C{PA|8|1L<Xzgl<50`cE9)t?JbXM+lRw
zS>QpBtqBm=pUm+zGS_?Pqc<*`XU-#pnFYc!>xkm<|GxZx0`09+Bw|Y(Hy*C`?(DXO
z!{HX<I~Tg<bbdTTM_GfEa}5a}GM+`P%BNl5qTtw(M-u)0Hzzc^9M^tz!VSE+q*m*5
zwoUqpPCfYU3D$o>oabmTf#fie<)9o;qC%#dNS;9cf;D&uq|WCmxej{XjiDSl^|B|{
z;#_oXzhs+RAnuBuaGjwqOmjLDsOIGq)Nd5LOE7nyT&I3gEjBvgQ4;NBTc!(JW>_!%
zEfQ(<34E~t$r#H|=`dsMWh?oB)AgPWovPncwN-S~YG(?Vt8csF8XCgHliT-d9dYb;
zoCyiTF2X{f`XAi)QJD($l|YU($@VUXeSGdWp}&p}me(E_9vcE=cA?}2oaJnv2-p)p
zE)dAFa;F5h_Q|o4GkKsX9O8IHE#^e3aET%5m}7HQ%p$#~b*F%A21h3J_J#2s!QaR$
zC>RY2KD737PdeB<y+cYfaO!VCxK!FV#%y~7_<l?~T=z9c=YzZt_Mahd&iGb|I!*9U
zPJhqI^ZV#qj$5{O;AtlE9an@zmDT#VB|@KE@r-4IH%+9au$NPbj^<n7zI6)+?R>z^
z?#)6TbjnhhYP`D}@<`L(D10Hx%2+NVZ=AO+HB9~vrt+}u%7N>+<B6*}=BwL~TyAkl
zkx|ka$na3L`Eu@((TS+q^tvFn8IjK{^x`59{R4M7pn>#G&n0hCbIvzMvqmtbI_!2C
zJ3nm|)?aWRv&qu*czv!rO|s^k!7)zg<egBb8EyVbjN^E)2+|<Uv`pqp<3D_wOW!Y2
z1bHpS^~x9{|21G(lhrQ?pZx;Yw?Q6NnC}YxED-M{CJGPXkvM5>Wg}@xW*1qHc)WAz
zembV1u{~3{Z!B}O`mZ+FBl1NKlRVjRzkD1moD%u418l(tvhMdd8Ao!flZ9b0T*q5j
zG^Pk(uFK1JTz{i2AWaHFN5Zr*Wx+T+l1n*;a_2^Vsa~OCQnlIXGZuI#qu{;GRP=bP
zbnhg}0;77W+dCV$O8`2uN!=VK#tJ1^zT<`?B8%yjtjoaCJOR=E1qNs8%`^W2?97h&
z0l1GE6L`*b=QictE#pOU1a>rn%xbGM=~t!@hCU8y^{c+w`$fX*?oOivs@^*nF)vvz
z{&PT!VDMgQIc5?G(|sb5lS|6jNR@_asivj)98~ly*!6I!g-c#f%0wIRDjMA|Psl2f
zn;haWI+pU8wWRa8w$7(?n2I^iLoz5jM7qAuUbraf_l3a%@;s$nlTGa#=1r&b87tx|
zO_tbr#gazK(~nQy*YF%K|C)<+Gt0GxhtJ!z5+T%|w~L)DkyHhYCrdi_e{a;c#fHq*
z_J2|=Ay5wdNO^eG#MIeth*7zop-l7O>n1YX?jU}=<IO_f>;1IRul{*oZ{rz&;BW`M
zVQrIL)hw&eEC)a?NMJ`C8E4=7dt(8kId~tK0~+{`-&Gz-U9PWbghu5qTJ939n~1Rg
zHQY=XzsVNsmuZ2sD)aUTdH2{`GjyFdcXxfd)pgeZIg8fzKuqN@Kh@>j-C4|hcrJ;c
z^w%)=>r!CYkC@RU)tvjM;MZ_p5|D%2gLikwDMkC=@cM73+JxrwIu~}dM63fGcR)8H
zkil)E^I_}<yXR87oRC>UsfL%n?AsTJzNQEGvz%fn{^4+&Z;A@NckN9fbrdKn@+IzG
zx_47JmU&RSqYYmvm#fXhoW;cQhTo0`!+4pkuECVqY#yk!Lbm=S2w5UB^+jg?_MH97
ztML~(Pn@PcQKfkXJDng6*Lzj10MyOBqd5ZK%eK5}U?pHg88yXO+-XFSFd~<;HS`?E
z3M2c-8x;O90RBRs|M^v#7VAPJF%M}Y$oL1*-*OWE3gTp&w8aJRxjEA|;aZ97V76sy
zI*)+?l~Ma1{X*~e^f&#?3-9*lFD3Hed?tfwH4E44!l!xpB`;gA5y#>K@%%a4cVBT1
z0eY(bb6Z<mG0$@-!H5ABJz84Y*p1Q0bC!q8?}R<LinlYKZ9d%EdaGy1IYi-l=rM75
zdD+jKwBb{P6Zguw`PU2GUp4402Pzvm{qZoE%4SWC%7!?N*4rvNQ}!RZ=AY=OzNd+k
z88sYg;;ztKY;Q$?S`qk)enW$8CsNmwtXxOW@@w3{UOt3VC=oUISvpx5Kg@7T7rug%
ztL(=+8Xf+c>f8lPssrhcw(jBMQ$jQ_a4gWuyr)6|9RS%*GnSPGkNnmpxH}0;7ad~Q
zMJR{~jgQ7kkof#~Zv$lx%GCktU4Dcc5<%HNWs*t6-TCs}I;O7u=?r3^G@<5)T2+iK
z_RMyhu6b36OV@>ZV$s1CFBiOAC$NVh8@wJjF=gYCLNVboR+lSmI(`z(K#OYLzz(J~
zaD^7?>@-xL(I%k<j=_ykhI7h7x>++%)s!^-tp)?iFZaiwExxS*>7`SfT<=H2{dSIj
zhoW}kmNdKJ$o*r@Ek%&_#r)4Vpsley$_1=H^~Hb9?SD-2fBnXrm@LRKOH_wkDSxCB
zhg+;&g_c4EhI@R-O}s*_!{!X@pPK2M6$`$9Y1TdTb8SpRUvCenrEMYr!%mBX!wyF4
zqjq?zH8CWy$)w;40G8f?nVXZ^i^w!0<eLPXG9r_(#{FNs#;{O2*TShQ-+U^V0!tq1
zJ><DpXA(Iy%uGCh@V><~4YZj(Rk?)MTl7SCPKNoCopYg}%&3&m-un0T)n4s>KasF5
zN_L?!x}2SeiXb6dpv8bVMIk}jkR(x<rc!%Gwt!TjkzeAo2UysAW%7)l$cNTcRY%fl
z>wMuHVzUzzPAS+zI;oo!6I)Cckj_LcXbKYbZm)YrP_uBp)Y+BlasGK<&@Epi{cUa<
z5xJpF{b{WD-a&T{Ps3>UX)NmEd_qTY4~4u;6tp*LeF#*bMMW6&b2;Dh{Jn$z>%slM
z=fHcF^pVd{QYu>|%w`-fD1fKzC*HteCzXYO@r%!@+F<Iae))n+BEmH>C=vmmAz_fX
zSfv0gG~s~4EUkjpY!i%zOeALfS9=Mc3^O<*IIyuVYNkj;LxpPbSMJe`GzDs!0V=mw
zy`2TQxun07`Qsqtz&DfSOp}?o`@vxQ&nzu|Vwk<ax6Ci^a1?A{i}=c3U#Qdr<l~0A
zG@thq+6c7eKkk?uFDhV3xG(px$><BMLgNXN#e+ER>-Syo)$eG-NhD!ijQS*`^?R?)
z(HB)%NC0<7hVPT!uj$&)x-!z!m&S6{a`qbMcp$dtZCz2y)az2<%V}bLD>+B&Ru=S!
zLnz@nhZWn_K$1oaK+8N)`yOfcA5W#fz~{et1#;GH4V<K**!j(95@kGiuLGoT4m<M)
zeLYDR{Au%wn8cJQl(3TW-{P)>)Bx$6y@S$zF>|C?y*tPekWd%(6%`Vxy@8A+qdjZt
z3b>cp*iF)@6MkWgK6FufxwG7OW7&elJX^rWu@5dqdq3=r@ZnHyUMyOY!u*_=O%XRV
zNVsZdCgj6M$glA3Y*KSI!LJH0j<}hPLsi4u-R{U8dSkeh#9i^m0x&H7w9*+s*~tGr
zxGc4KyddK7+uSJvxFfBo@#RCM_gz*1Kxu>*03?<q0^)?PiQVe+H}LD@fkwu2z%0`&
zT7vU07vz7xrhrtLHbyZ`U%cuVIt3AS%Zqahr}45D|M;N(CNu~?0fW_!t<%vj@s?F6
zT#?c9WD2l+Sj-OQsd*&mzDHL!G>uvIiGtLRR(14eGmYu(m^in-zDAc_8K8-_Rhr!1
zFKQ)8gkI+6SmAh9HHCivI{O)5G`>q&SBzIU$(-nbF?{icJ?I^uODf&vN0%^at$wSA
z#uWMtuFFO-wS3JX2&l7#5#yB&K~iw=M<6u5I__dUK1+<faZZ|$tXTFlz-HTVI@y^R
z!T3se>vy~v))K50c^>)F9_5OxhF8=8TVMD*%j{qDm;VnF{3~Yv&rkeG0f~fy;vtV5
z;?tlw7&iG<g&V|ClmWXq-_lzzx#Pmrh?Gr$fN^T|eYt<LZmVqvz3`E9<CR{c=}30@
zETn_oq7J-LU0sj3^Fx#(o${kV7r}Djk=zN49qGiY#R)l;32js|OSG(1o^u%K(`ky>
zxk{2zvki2dpYEb=m@2Q$C%Y#YBpEt3R&|hMFMz|JYLyj;vVANaP7PAdW=ZH^f3eD7
zxg4meVUU=yYn-TK1_D|3oEaZP>eMXO6e-T(9P$@Z?D1OB-nu#I4TxSP@p!!V6u;)%
zpM`m2Cxi66w^2R>+%ANk@2t(!{_vvyj+_7UmH+=fSyfF_L%z^fF;u5}O1{Y}&{S7b
zoW~nORVE-U2DWKRmc%2hBJH4JkISDEC7;U9^-%MTi3hsJ$dQ0>e20CwByv&}FQ@#B
zJht?W?UblF_Q0rtEb+V>`p)ud;ZeK(%D~S;^}<GmS3Jozr!d-Z9|n)YtnG$xE&S`p
z`R^DU2YCjm1;|^s>__QEe1_=4Y@5I|e$@5K$-bwfb+&XQp=Un+$zvcDVLol2xm}*R
zLD6!Dk+YEq-VvoMQ^SoJ>rkTRc9*y&>L{ql_w$*rA3P)U0^9}^b%YpimNrxw8P0gc
ztCsgbj6l5p(ifLxo_x$R!ZGHrO!Yt6PNd!*`1h>WXs2o8rZve$!LHt58iPrG*k#kR
z44DAO^|JFsY3r0Fj64HeU%!)PfK|6z+`%w2E>w4VR@(Jr<Asa5a-6~v^S96mTO^16
zwIFi30cll(Sa+Y;9D&2yem<h=9C{v>IkWNE!epbJl=U4G8z&u#Fr$l3PKkwTMsT<)
ztfMZ`C7918YNtWh><#4%XBh?R=Ax3zvi2qnZ+OTc>=519s!}s_G`Nd$WwBHT<v5aJ
z{=2;5F|0Bb*CNsO%xKR_4(~I6eQSECM%@))maA{azL!PR@cd7G@=u)qZ;o2vGfa#a
zhqQf$%Mx+oIqV__YP;M`nh#drjVYDYx_AR5_}(vZJFR&IHCrd*`*mRHDD|>w2+g>t
zkW5Pwm;uAuD=B5MslyT7^;iS3yx$SQ=q1`AD1lS~-JIk?FIpLieTv@@-y8UaajpO=
zs!=H_&C4>hKH*_05@kygH|I9i+34p>;ZMo%)EqJYfiW`|#^Jd8ZO<(FaY(}*6VQmk
zuBfpe9tSVCZVluO-07Yk-y1j1%GpfR<pfb>3CePSM)e0ov_oRG=zwnnpV&i}(f~Iy
z-1I!?Zb&NIIW*<ab#g=BQ?PypFdT<UJF$uVN4)p%7m4>7S<r$>zmi97wH=LG)k>P!
z9(l%6Qne1KPx)J-tCQ75braK@Q<r(5yGuXG?&vY)+8o5%e30&rmt79#{JMw=l4Bu)
zL`3mQ=GxrtdUwz|a1@xMIts$|`_BTOJ-wzIiV%=$>ZZR({=OKYYd(lZ3v&sv)cZL}
zt-!a*%BR~Vzqih<J;_yvT3vv&`Yuoi$Jt;N*z@b%E$5&il6Iap&B^4hTlC@as4US_
z)}=mO03=@^$3T;EjX-V`#=oEY|5zevL>TP|T{@%j-<G;2PEBr9au^!v2O)xC#|kuT
z5)zwltL5<*49n9WPUu5#j48RbsZ3wEPm?f(;r9whjMK~43AJGxQ1U>d_alR$p9Y`R
zm5U+8ocEGy_G-3~c$k?3ER>Ecbvyh{%=D*)eDAW`=`=!G!=7YKSr>eSvm_o`b3$y#
z+YHUvmZ)jIFxyg81++Wr@n<LVvdOz|e0C=)PC7f5D6g`HX7|fGT=%{xUDlnb;r^m+
z+FvG={2}OSd>qhonf7Bx9se-Rq9?rX?+s3*!bwA9)u4J41oQU7#P>w*`0Hc;ojLjU
za}VG-Zzu8~&n!_exAYSXF>`T)n@MfoOkN4Mn(7B<bs+LjQJMp;l)AjDnc-4q2fBC6
zp?->sMD|am7#VPAjSl~)L^sji|8c~sE6cfTT_nOZCEfwsxy~{qwkR`*n8I61%L_Vm
z?prjU-x<jnpf9ldGELnuuNf9+$ZOnUa1SOKe(^$m#p06-S)?s9%&GTE`N0qSCjkkq
zSk^S#BYK`!T;xY-rn)0%QNCY%?JXLYmR&Tl#(CY4ElMmJ@^Xo6fZ^+VcE|k&tb|r#
zXYPaPaee_Rwr20(V7=l!kj4km3r60ZR}W?)!aV---TL1>$zmg|9ZE`8bdK6Eddvb3
z@6WF7a$*!VGhTu({ciSYUBY~&%nmzhK)Ov|#_GFm?kmM0DjNOW{ATM!eFXat*yx-d
z|D?LeyEeiPYV3HMxMH2^d8R_|IvQEq^7BzK4TtYQNp|tm1ifc{oKKB=GeVGpzgt9W
zEvUrAGhP9{Nz52$x{-a`=7rwZozJ(V>eC7mEuEaMh|sMb^_8VQ**p9pgZp#6JB^v1
zYHY0URlcFd{(L>IzNpJVoC#F@D>6~iU40H4Xmv3tv$}0M`iIwPkhBigNB#s~L;qs-
zB5ax{beH0D9Lk}Q$T%TlwV@pr2Q3(7@z~Se#_v)k)jK750lg`bGxupNe;T$es!xYs
zOc`4W;cy-MxGe95%(b@z`o17st+2ec!^)Fk$+xkn8%D)e11kmM7<u~Xfs&GL^;S*C
zZ$ha$S=~ZL`n<nh(P9?uWD8E?u{}Hu7o;#3Qz=n<xbm|YLMAmZZFe>G!M=yz)}!b5
zA(JvmD0LPen*iV8*mTXi9EY4X&y=zA`!LrPvOvb-V}K5@=DYJdd5-Au`3<}qNQg6>
zPX(me9sSdB07eYREqoMGTp@JZXo)tV3NUqqiY+@D_ab(_IAby2(q6@3${C5m*7I9H
zZEnQKzhYssp?E1p{~kuVAi6PY8}RML+m;#WUB~q^SN6X?;Z7_81byZw?>%pkHJEIN
z3S2!6=vIjx+z4(>&UP4WWDBE4vEA>F6CB;~Um6xDOuGwfeJ?y0xAoTLs=1e{ml=0}
zyd!w)?H4`MFiiuI^Qqfd>Sg7_i+FYTWJ4OtGi@&R2zk6Kyda?Kx)$wjG$F0{-!1R|
z;`!jyTb*KFcPqjtnrVU+yy#YEvneGy1<T|L#CQ349Xk69=0;lbJ*Y}EJONew)ujcG
z<50OM=#}LPA>lT*>iReTqApvH>-SRlK~MuawUrg?^Eqc#ddLOYHK%!Iz0kMnawBVR
zHW^lvowaG%Jkcs?)YH1i39kuBC)J0meH#(eRKf9n_zR<BS+ynjT;+_6<>g!!={G;X
zw#*p&Q0dqYNfw!+LN0xR6Lm*NJ=}@i<7yHCP39Q8k%CT&(zyGm-afQ4x#86bUBm>i
z0Dfy)7R<vY)c>vo{F7Tk8{jz)(cQ_k^?E$gZ!;3n!b4%qJ~Y=``2~I*f=L-~E!^P*
z?z_)|{^jW7-Nrp2R{#o)=B~R@QeMH_Tk;BSBNPno$4bN#2}=c)-r|G+Y8X{uGPRr0
zN((+-$Cwn7yWzt6yv4vO#M<%hIZxezYz_C$vk|N<vl(XzhkCrMcGc3O$=$S$9k>o{
z?%?D?|D!v<xTCEI?Rn$b9DLd0-!G*#>R5mV1ZN;v$5_RqOKQJE<dSsjxzj~_%rXlp
z839<^I1LGeWNSICsAfjek*p6&FaDH?JDo{BopI^ke_Fg5A#%XW3SuMMXpPSjT@en6
zeW{!vl6w`wELTyYIDM;H^$&lfx3QLm6XaYW97)ec_Te?I7D>V-MYxmG_=g5=5}i%{
z!d*>9Q4zZ(h4q(aa_V{nW}q~YI2dX3+tMj9DM)(`8e@OW1FiO}XsCq*n^TgWYW1`1
z7Mm#0$J*X^kmvng6j0yv`>=(yW1K9ZS(}?oWnc1!;+wSsqmU&9T@+zyY%TqY1TV~v
zjSlxhA9tIl;D<W=gsL^fE^V0?>E~-`{xsAmOSFQ$@<!JnV)q>8Q_;r+pSE5G%f<Y7
z@j!s;IB()%GBJ??Pu<3HtxtgyLq$w~Xi^hn8$a{py+h>r0IhWu87xHk>&Y|o|4qb}
zBK;<0-Q=Nx@$cX4&UeIj)l-V27w?HH5%em#@BOG1T<m;s!5VbD-lqed^*c<doPy6F
z2k)Rucy}I`l@Ur=aN6p4fxZSdb_>7b0v{Gm9aerwmCCgr5IcWBMdZ1!C|`1}o=Vk+
zp4=;`5uN#gPYma8s^tc4r47xDWmq-e<y6}zoA)AAO^!yGiRK_$lj%K)Gh`b{#q{e|
zvP1#(dDhjw{Ad5t0(e)Vw1N}+V$8ANj);l;0#~KP)&;prk+ac=Ma8se#e~c6j)g*>
z5!ZQ?++-)oXT)`e=i)1m-8GE~=wUmh`(;TP<^P=-`k&u>$KVaJF+nJk`vMkd+R~}S
zqf!KM_XsLq==ybr9d83fNk-upS3Hf^cJ;j<jZZZUu3FFT;)HSL^G;sm4+S6B*avk!
zkZR~2fUUUj4zk#xN9x6R26|J=3%UB!9+KEx9x8me(C1p&ud~PP^QRaSG)!fm?I8B`
z12f`glZ(d8-7yt;bz?5)am^GNYCSwTHc?U-``|d2KlQC8aNZ2@S?;SEULmH`Tkl1h
zybko=B&<?$doxDW*KFf(=IV<>U$axvQ=?KqcjFA`GV3R-M&{J~^DFjyfHYaidI+{Z
zAI-rnQ?W*$1*UD}2NS5a%xaf0_}P4&ucc^J_J9sZLc7m}RWgbYs$;eb&R}U~Qgn<g
zmoMR@2WK2f;#Cf~Uw?uA4sX<Ro_kn6&~UYb3r_ccF(|&93$7X3dSA%5Lsp@pN=yH7
zLc2BRSv>1Umcce*OdnjK`vWwo8kdC6i*%B-EC^>0$h6A{%-hO`A%*&$S9}UeG<Hv)
z^op{@E7jkun)_7C=gns-hS&Csp6?XS1=+O1!r3b3U}qlJRY!-It*s{6C$#|IbKGGB
z?oa62FA`flrPbJoBBFl!19h@F5_`f|{=Zop>v#@k+(lr+xUqE$Q75M{W`<+0>ICH?
zVa25Vv*vX6paHe!AL7?9>`zZm=ftNW6`}_51WiSyXk11Y;B_EmZyfJf0MfaF^b^hC
z>RA16;h`S{U;4g`TYoXidZ2T<I~t^A&NbLE`dKJO87$S;EurfsuCkoz^L|FG&)s~q
zf}lfX-gv0$#f$(%w4S|tBj)8q-*0_aL|5|o-l<({jpY7*&6KLXPw{j{)ysmyJnN!L
zR&H|Krxq-jEW5%Adb%(A{X~z&V0oCdeu)p1j4qg*z?oY0VKQTjP40Y`#^E|v4X4pV
znToYDbktMm_dXjLy0AD|SI{X)iJV}q^rhZ8>c%!^nbd5vP+;$F+{{iqlO3J0&)oha
zQ~XbEG2k;2-jf;$D|8}Ug!$+=?4`R{H9SRK^S#cA@7R9LV2Q&DOYN7Hzp*hJ94^EB
z-{^R;Ia(=R(bGRDm#XdazZ+NA)~~;I^?@Av?PvL+^Po3w7GUGG?P>VnlT_KJqFl!L
zjJ37cFcoY3!<u})q<y_<NiAG3Z=soz1Wn-KgOwF|(r~AbymkCIAEhii&PtKz-E0d<
zc1zCoR**#mHcvfY(P40*aGTlZxi>HM#G*DET&7QmsHLuAa8pq0--8<xPp^Ygo$}jE
zw#3dKk7e&x=B1LooP>Nl*oDKj-pKR_?^+iR4xCC2n23HkZ*&5P2H_vUFWLwL<MvSi
z&s?hZv+0{yJtVL*93Ngbw}vZx*Z*Ij077pU_Gm-XrJRzRd8+%Ln!}X5#jPXme93_D
zV~30EnR{zhKUhlx7%New+uG7szJ#1(5tebWf{S<?*f*pEKyZi`1d<t@z7Rhx8_7<e
zYMo>H`7612_bXLR*4$mw@i<~-q7xqXxoN@#`}KR)jD&%Upz=tqdg80F8tcNU!zR~r
z5JJVMe|AqDRT>i0Gtiqb;yFL4xNvjUO-r(4GNnY~+thEN#=OgpOEbt<jSfDW6v+N%
zmL)0#=+wodW8&=8?vCpmH<gP{o4smgEy`?TaBb~nqR3FVVdL)5j}VD{^uoQPO=fE}
zjt}g14F{n%R|fu9DamTAWx)i3-;b3<haT^y8Bm#A9E6kx5XfbauPS+evFZ1psXk%~
ze&DLEYug^ay~PqoU<#sDGWn1cYa{VW!FGYP?9fMKU8(8~0=?8J95j5qLvK?{jxu9}
zV&XDHPaF82;=UW>u=f@U3j4SpNaH<0C!^s9v&UO9R^04$tsPF%a_nP2xLkm7xLloz
zLP1W4eqGMX?%6U3YHiJ84`ldvYYdh(9tLrQN;XfGO)T$RoE2~C$F=&vN@jg2Vx1=o
zu|4kUdTFV8Y`L%kq(}5FND499NL*NUH2`!7f_`?3<ca<lAo;&Z((>I6(zJJ!(4dN$
zR5D>jGj<*yY^D-s3V~tus}rA*h#1@jcdiXTO;?o#>8*Yzdfs30DwdnEV9tFvjSRay
zweO+Q^76c!Z+*wgIdR>LYus6WH;=)!>*BJ${mTAolxo7)J?NCK#ruk8c9rzkKmARC
zlOMK0<X-sHg~n3IEIGJtNg_Pgr#I)h^2-$CpipDa^`f-C^NBfI-Suti2^vd^$El34
zHDgsRk)BSjRKtAs^V~us-5!q(u314LUj7ASn#ZR}BSZ*z>*HJ2hB@E-t5x%*@?UM=
zbuF#V7m#O*keiCiG5+MmOCL+)<6YQBc-=lqsb6A>QOkA4Aj<Q#PjK)Ypyf8g2+r0f
zq8O6>f2*<oQy#)Q>^8mKPbFB@by)N^Zf*TjW#X<74%W~Y>r3T(l%0O-B2NMjm|Po7
zXDsTKEq0yPxx#z|DT@@S$Gw_p+5O@;d#f(;Jis3wAOoZw!yCOZakJeD=W1VS#QQeb
zj4KGltbnwWskxM*Wx|VN?A_Yi+Fku7WIEh2#q;u7Z6nU&1Md8sYY^oL6R~Q(V$=r{
zx@!d{9l5R*51*yxrU|w@75pfv#WVgeN;}A7z3#%UIl#U%FCB4|YpA7C<`M8IcK=J<
zYjVLTGo_roaW8@Zdo>k_L!N>6!#Bo2^*DFNs@AgBiA4I@-x?49GdBA3+n<kbOCVZy
zWuzusA)(&*74YA0WK<*=gX&K&e}f{)LFj?JY?>F_`ums9J$9XOxC?e;LcmtUU;Fge
zXfat2g|U9QUelv;K+1}&`u2Ky(c+n0b;WezBYAf(>e-4td%=EjHk?=M%VM=ci4pMY
zw+61m+7ia|w)Uwm>ooc%an^B>T&d;DCC=khE)By49#s8&pZ370TBE}qS8T{H!I8zD
z1NQ}p8pM3pc}-k%GF=EZ$)gtiq|a5V@n+XLeEQdZ43gJezu<~dYRK({`m?_}i2vb+
z3cCeJc9ShtO$DthEv6P|a1BNKaa$=~kuoFF*<mymfp0}*QRQ=<=L>pO02G^kNjVC!
z39=z{6+7mN%@G#q${>GX-15GmIbz|09HmVQ1!#y+vsNM@5kiH+E_ErbZYH=_>+~jO
zsobmW4e!Cuu7ng@M^Ry9ABPnooLc^)gi)8kUXzP!Tu$Qobf@`Ket6l31};1u4XJLt
zo=V&Xj#*=)KIJ}IzN2Z0ypI`~Apt%!;VsINuSIFdvWxGg*v7w$mEHQ5CO{qr+Pfgr
zIu+z3B%<A^%NlM}mAo0vR?Ak>V#`wz`=9p3|9_p3J_;Ms<y9mO=chX;YaKYJw#T)f
z2eePgyF+_gsklYJM5&6yXGBCq`*e_trBbbZpXmX=)lNw|z$%`hBZ$3jLLQHJ(Xgg-
zOO<1x)m8x0Nody3ZY4vjl^QeoQ7AcTixJuZ=yQ2EoI&+sHQ-_3q?H9u%mB=5;SUM;
z35V8wBRlxPUK7%+EY%}t3DO?+7Tl!J=*f%SIc}Hjo1(a+BP{|o(vq;4ff=92p@*Bj
z=t6_eu;4Uo>oB35qq#-<@zeYW!GUA!HGL_26M=H(((Js6HJ!qjVI-I%y#QxDY-7Y&
zQbW1t_w0EpP}_5;e7T-o^B1M&pG2hJ18<f4<JbZ}dru8x%AuF8+$T1|B*WyUUALe&
z(OitO-Op!GQkR-#e?FO#_x@&$2TDCy?|$Ag%~&=ei+|wKLu%(}OZck_k>{Z(eT|<n
z-LViRz8kl71@#PXcdUIxb@_gMYQ8*>RSX=H=$lUM$S)?`TI-|s$jJEnofeyvd9g-`
z<WQ>-rX==IZ`vEznszlQA_s8KS|Ur4Sjz8+yaFP5*LUvYO$Eg66}UK%RF4E>Ws4IS
z%z^zf!5k{JR?2V|gR7riFs+fmT5^s{Ea65Y`NP<)JM`h1ip)7QF}^GO!@6ln$a)XC
zO@%~hdnDIwufFI+(&!&$l7EN|S#Aw!R*bKAB%F8?EeR=Gj_T086K7%gpnA(?CM}2I
znakGE7iYh#mcOEq0Fzmz6z85{?aTslknZ7+?PGkod>*?bHLvc<%uev(RYgbYg}eIF
z#;^WE=T$Pr?6;@6wNd%j(;DYW<8L!{{fDVCihYNsDjM~ykCS@7Gk=&EdDJV;xE_8y
zEi9B_@!e~uw_)liF{b^<_q8*sn7N`sm!gm~kd{?y;3a%maoSo|Ps=h!6%&+5X8+4A
zQ<UnSQJBP0P;0E_NBma<<#Tji(xQ8y0TAk1EQ(Ee%W(UDRX)_bJ!laWE_IP!k2A0n
zv1@B01z#-I)d<=yz7$aUOkN%_`YExDXi@-)@N2Yc1fuZlEktE%Hj~zUJRwF4Is5yH
z4{3g52XQROvM^i%bcJPof|WwJcKus-pyT{u)dzTWUhY@t@zuU?=ydGoEm>9p`yGdV
zROva}V1?f2<o)@p`9!H7a(CsTUQx=i<KcCs;dPR4J$sqSBo%%4Wxktsmg>AsUC9Tn
zam<&2h23uoISCYU-v<rn-eZw@^6@nW79suvW^XDy=C}rCt`}A{?)&rmC{#lAx>diZ
z`|r{LQBh+QT++P{0$DguH1Bilh+BvYX7@u}U-^7%Fp&FnGbQso84Z4FnQlu+%V_;$
z)QfdZ5`KiJd5PeT);C(Kwi|z{nnp0dxwVp-^31Wv>wK`lb(b+#H8dS;V6vL{&|Uji
zF;`-%;a(wh-53G`CD78b5l!u!54ggU&wst3|NhT|KTRtP0>=dV?=}X{1HHdmifMh9
z1lVixMVJB0L9FM_Y2@-E{H{;6t@bzKz{Iud_4}UtGbEy`q`YR<jkQ$|d~uWztH~5g
zB{J6!8{+{%3{UR1#)hSe^PBS#Yow{lmNi_hq7<AetOIoy*$lPzWv1_|ifHO081j0N
zJv5r!oR9W-uSuap05JIM=eVlixGE#alv-88)BXKcN->T2e&VkxY2jDdnRMkPu?pRa
zbe1kh^dov0ZhP5yvHNG>qNitDXKFbS36~$4u3K9gk1_YYV1iC#DzD90(%M%$>jvn_
zAAZiaAm$4fiXI=HfnU#1DO-nivJf2SH^KpxubIqhmVZpXK_}zIpj{LYZlF%lnaOlu
zz&qf~q4mag>S83Q8xH<@?p;2678_f)`mpgVu@RA&y7du6Ca8kd9FHA&BEtVjfntr9
z)2DGY7^TvPnm<_=)+5YGow>=K+MMvd;-313uE^8o@WQ@P_|<8EO-AW^ta&9Hb6>Dt
z0ndR|PkFrY*Yr|^O!b7CxlM&s`yd<0sw}cA=MDr(w|12f04r_^-BBvFMU3NkCR~*#
zzohaM#yZiJQs75eHTGEV2qVbPCXTp5(XVP1UfB-Qy@2i$d^lLpKlChg>8*nzk9bf=
zt~MDb*073Nic#%<9J(0<-qoxcp`*u|HAKU|6uf7n{PkJy8a`i^=l8_(XQuOWhu(G!
z=IF$tt(6U@zm4lR`>Y$XgKyU3-qOAoaa~e4j=iRl8eRtBd=g)P8lw)T>eW<4*C;y(
z0UAWo9*kCGLLYW*VYE=+6e0H|8BGz-!8RM5P#z{We{JC#cOwyKe)T$O#zI8wN4xJc
zdgUMC3!Q<4-TqQevh*}r*N-aHjz4}syAvAVBK$U98)<Q+4Ec;I^O*Q3q8%2sjz_y+
zEsi>*T{uAmK%+iN+9x8A;w}dU`<aY48^@1zWd89mNMk)WNLR6+e01Jt6DHB1*ngK`
zZ<;jT1Pq~i9%zll!9_7)QtQiN<F-nIIv~+MkON)FRSxD?oQcyrl*#YDs}j9_2(nT*
zgwN?Dub0>FHwq)$XwRF|UVU_O_GnWZwdjL+O3-{{u$QdB{^GCuaoMy|EL9(~RYG!Z
zaTdlWabioOM|k()vBLM%z{$|-pQ2Iv0zrm78{|jv{%qGZd7|KWuH5mum+y9+PMvq{
z)O@_~KTIJNr0BMpX4iDsM}ooW=Wjhy1o@Dws>n9L&$y`dskv=+YMi}9;u-R)ja}++
z1l;|I_3tK^e~&7QMzQX12?)~xB1u>i_#OTddI9C1F+D#X&(1L>gdq|2$%3jj0<H&O
z#;eI(5b78Nz4>w6^!=tehndvkn@$^Kd5B6&mVqGo;uVsr732MN=qu5CAt|y>jnVA2
zX)nFP$FBA-R#Z3YmpbMTpi9+17RKKC$%xhZuOuS6huR73JE>31AQ@%NhH4=JLg8^%
zXU)bu)t}OF=f>IYCuMJMJ;pm8Xn6|>0lS6t2#Y@HWYh%xS}qhEF?Y;;GA^4uC*UtM
zc2>y27+uyFx!+1l)=~0K#U5y+yr6_!cR)Qt4%MYlsn@IQP@MBNS=0c(QPR_YKPvx<
zWoN!N$qGm8wlRyS4qAHm-&<#I!je-^->06DuKcuXM&`(eQ@b~6X>~AtUf^86T?V)<
zC%sB_IqDLiFr0?mcg?NjC5g^99c|X~wGj6D`$&Q85LqvhpE7@lc^I-YlBvs!)7NF<
z@LUdGHN+m5eYF}ns1xQbjB&a4)ly4`$?oQh)3^&Vm?XR*`ueq*k`z7S=lKth2KVc{
z5(nK@k?c});l}&QJ(vy!PqSdV`tPNbb1*Y_S`6+Vfejf#1758O;9i{reJ(eXwILjD
zm@XvTjpolA`?8$F&1b=)+0i~VhsH){C{RK5dO~xw#s@?jm3-tsu5&bfBiH;nGE4Q!
z!r*FLC>f8m#kHSxJgsbgHLSmw#HxDMps*)nD(uUm=D`85rKWfg(_<Q_<wis_bVPhP
zs5RKq6hv@M$jZK?t3~A+{94;rc6{b{>fb~40hL+UNHwr5SvL{Ows@Q`i7a|M`PPSk
zzFzYqh?_}$d=|x-(L?hppIjn3pyD<2K;;+Fugq4oysJSkdm~hBCF(;H;$N~cVoWk%
zm#&U@ch9JItd<Yr)4A9r_we$4|Im|zrrukz@L3HvrQxenHp;-6fWk?B1RxV`Hzqj@
zzv$<%`Sx|r5Fg)_jruu9t3n-0>b!cOp0h)P^Pg|AS*-i}0)cw_C5L_TT}l?gS78?-
zo&t|&;O&T(I~_B-MRarm0k@1jap=ti^rq7qa-0Y{>}kC2(Z2~}mtf9Ux_ZGz&F1w*
zqLdb<f7A|Lh9uT8R&L%nKUHzPM(zW4$jPc>!)+B(_QT78k3gnkC8x2$_yk)0opWnn
z`N_#G6ybb07lFzk)(_=pW6AEuUBVP;O;sKtCP!og5!Tu1xXEbZ*pQU5`)VOW%@B>g
zwUM#@ovrhjtsm8kklk&_YT)^C{{iW-jC7QDQmJ0N@Dur0<4R}oo&3Q|Jt6#Wp3a|*
z0H)O_smJQB|M;5rUVBh<5oKK@Oz%Enb8j*1v`t;Oo`<xTtXXYxLV?!4!KMS>%3-9d
zNk=;~tE#DaMTY8<{kj<`$5XSBv44F5NbKmP-s~8sLdVARJ(qSXXPv|blb*I?W2?|e
zMjF+xQFei_?ukac@mUQ9S>en(&m1DJmP!Y**C~%mJiJu}Fvj%@sxVay^4o<{)#Lk(
zA$O8vSGrHzQ9DR@y5oF{Sb6OUGqt%C2-7^w3cQWtL{O!C&1Xv8k4;bBTc55_!)aYU
z&Q~7LI(k$4_2zY+@G9kpP>$$TliK^J221lvw#pp2i(9P6h}z!2E)dW9_<>rx5ruzG
zkF|uaJBwQ};cot1$oT>w#dqLYHQ*#yh?&)R_n)6muU;5{g$|3syY4Hq4OX)COLL=D
z_H;@2EJ|m(6JI(Q6|NCXjzY22^(h;Vzcmd?lHpDOY2Oq;-{D|2LvHAd_nH{K4><2A
z%3l^O*|<E|(&|_s>tuvo8}N#J=Q|2P%=o$mFTJ+GqticYT3C#bX>3d+#`#&PFG9=P
zM}EiooR5^v&CB*|F(S8_+haHaVdEvgYk=nY+QPn53R7%su{Cf#k-se@)5yzq<c(3R
z_)Zn*&Z-XmrIzHXi}-zBKYNm>MW1Fqn*Ge6$CV+WLNQK=&cR&Rs<7ptvuwkdtw-2H
z#5No{1n1eh8BK(Ar#RZJ$sgG2-yjqTgk*!Lj|r{w-u7oaI+#hz{X`)<CQ+O2FnXm3
zy6}a5MXViHylbusY+nseoJ*xop~BU4xHwXze<L7-Tt^GgHebQKDD_kH@aw0S?S>zB
zFeeo25!jb3W7*wTmYSB<71KZD-m=${g_EgMTffMv#ZGIoTRuzNta_cJ00D!xHKN0D
zbU~MyzPjL8?z(lsLIlu;EsoS*0OTi~XvxsxT_<PZD8M#lSMRhhPbFZ7_AO@nKcCy4
z7Y0iz_9su$Q2y9G@-%O3UA`RExT#YX4kQ>QeO75k_(&7O_Ln{zG0#*odh1`6>(^q<
zEAwPbC{@B6wMkx<P<Or6n!iW;Q)_!5Qjva4d^^7sIdaBY4GI0iPHFBOkooG#*P^yK
z`zHl**QIZ*cVvAFDO|rG5~lBvz>Bz>1Ac(1#d2EdM#??%R&*Y$8TWor4-)GRw^J?B
zxbpfuPUq3Fmg5^69?Pm@5gWZ)`-*;4_u{Ie{<F^TN}};ilU6+m<RF}hE=o>a`O}@X
z@6V#6UB%4vJH=HVCVq(N=2k8~UDQ)<rc8k@Q9tiA<rd|*RSx_oKi&@?79A*iEEI;#
zZJj{UDD~<S=@X}?Vju>aCY0|@`pE-eG~Ao_x-7^hsj+N^7g8n~&dS$$6@%9yNDbbF
z>r9IXhrlihF!B@*mE7hGgG}9Faq>9C3zQ-*LJ~Jejvgh6TowKNJ);>&mdKw_F3l?R
z>C<*a;fTe)C%Es7&0fDWw&PkUA6gJS?-F`VN`G_{C)#~ZQv6ox3SNr|v38=Fn|=9?
z$kr@5)lQUcA^CC`0C1;{S96kKxTZeT^H7P?Z|AuPv2Yv$&jp{Jy(ioayKBN8D>JB>
zP>qEv607<(?|R>%=2k^tNfODWAFT!AYw;bPdyf|!cLGyT!%<Sfh?$asNZGSy5|2ep
z=tVOy)Tva<aTej7xMi^J1kwELPaH1_<_qVJZ%fdqM>to5qh1{UXmtO~fF=h9!Cael
zXFIWo9@WclDa4Vv-_(uTH@6lue_REx9gIn01Kc=E)x|G1nzjQux|H2C#ofoMIjmw#
zYnNnHy@mni__AVi^8J}lg=pUet3-SB<>}v0i=1-K<!E7&R;|m6KzVX7sk*z8`37`p
zGYI>Yy=M}Lnn&qcEUYqiHG{uDRqYMWyChWW);?0+{;tZUtQYfEE-9=7v8N~ze(^;J
z*FAI2Xy(pYcvor(XpNm`QqWIF4_am{s|4R^hcBF5qYlOikY~-FR|tG7_t0<pg@HV}
zBqR*39epHH@GzY-N%*&c+3Qm1siMZd+*NG-$$QnBmT9ZzwXs6TX)W_vYMhBmB>E>}
z{8!fV$Izi?l=Z~Kfi63?a!>wAzU{BiaB_KL*Jh4!Qygef^?Zbi9l!s!>IruneuzV1
zGQizl=o?A_<fSSedf!rO-S=y@x!o7-AEz;!OQNFn`^x5ab}*I3`bv>a@$kxQF>W<<
zRYVKO`2|*|!3$@W{>bX5T71)!Ki0(Pi483nJ?j)TTncbIo>o(<@&8cnh+c&sx{OC1
z4Rz3652kO7s}#!6BAx|27Ex<J7;|kL=kFs!d61*kj2ByLBvNRBqTL@_Ar<21nEJKX
zbB(rBs^ytQRpY8IE#wUjKoRlEt650V*~3-;^W%?;A&<{ZmFnJ;=RLaKzH>qkNafWZ
zbw9xc{AvbPU^;-0*grkziY&11?+8p-C?&4=SQ^>GXPgVSpO9dD<vQd@X$nU=^rguK
z`rrjMov|Hc@px_$A$luak#lA`gc4s){dzhk?>>!oHhyAW-g0@IZ!B3`>AXKr;5oQf
zTQj4>Y>MUiA?`%5GQZIRW?hxxeSQ!Z@8G;Frfgi!?G3goc(kAp_i&*O{wOwQ*p)<~
zbhXq!k9Jp^!(X*wy4LpL)kIAA$Ppps>M@c(GhkcFbgvS+){@!**Ia<#Bb>T(rrOhZ
zI9)s6f#iC_`9oC2(f#0k;bp_NXa}Lr&9%O5JH>!*kRi>#beR8r0@7gSu4d5)ok)`?
zQ$;(`SJArmH?|D%=h9`tW$yQW(8?2&zMiu*oVgpb42-S_m&It~&MSR4PZyGM4<tTm
z-d7&Z@z^JUzZt6isK5f!koi-1bfHL;vBT0v?HVCcbO48GVoP54(Z`_*)#MBqU2+f=
zK19mVM8(2{TIEY7nQqqs^+bWU<gT&Yg-Dh4>vh44v~0mN&2D3hW4#`p56&0z90|3d
zyMjJkdjg6G!;2p`qn0nFc7=az7$4aN^9?LhmDUT*uiT&z!}?YKhqAYhin8zecvTcc
zQjw4lm6j6e9F<ZjX^`&Dp=+d7N@*BiR9c#$8|fU7W(eu7A%=m8Gu+R4-uIt#*6Y32
z^~bEmwPr2${9?yvfA>xe(PH&e5a$*)Vhn*2H#!61Kn*9f4cp~eL3nM(&)$TLQM))o
zk#E<b`ZYXy!okO|4-UzaXPt9GRs`d|P{xE9>AkP{t><0*Eyddf_;K%l$z8SGyQkMQ
z#`x%>rfSSm0@*;a=;2;|V{$pNwNl!c@T0qkI{p}(9=;jdw2T-CY~DISTd05RV$F2w
zucZ7W<yOqY{EgbEyFMHZIz*&^=*UghR+3j@yn=>(Z>c;B13&QTdde89P{YSylFSm^
zdi{%l^zB$4!QUs7l^#T1n?0YNWs2EBS9>ho`#Aw!`Dm%N;S9LzlHTrbHc}rgCW4d7
zqh}hki@g*UydlNqAj6i^=fEGHw4Q#nAVjxG-TDBsDdB<@=b@u~dF=7x*nsD1nXMn}
z`)+hWntaEYHjK{#`7i4PJ@3hgDz8MgPAuYVGmn{}+u1(ev0$hX%-6%rlgf3)FbK6)
z=5#0V?@@O>g&PdZLbU#W{yYFLS$V_nBF7&8s+^nb_Nw3Wxb&(u(cgk^X6Jf32)t<c
z*rxjEFw+E!NEwQ)fq~9@zm@q;hEXM4j!b{3G1ZES=9gT^GWz+nMh(ReLJa`yF)3%S
z#1yD2%BrQbW5ni<qByGclZ;65&Z>fC@<!LBjYHqE^Y?hz^<6FTP7(WJ92dZuASLt_
z2yhr$IQc7MYxCVyPoK9VoUQHp0C^$U3eW?5la(4DxBOm4{|s}hr?jM_gF@zl1adJg
zx|ntbY<iDn1tl2G0JtDXT)xa%jJHhF!KeyGYezkj@pNcR4bUtFA`eL}#$sKfJv;Um
zs*Hnwn||XXaH_51s0=KOz?h)=b+NQrL1|W>|6kd`{~_i7|34(hT?@QH!@SKDm=o3d
z!cjeC+kRkn;K#Sm<*oA>oK-$5!awk*89QYi9$m@u?#c8{&B5C*`ynmCYX3Er81V(m
znsJtPzO*>c@EOgs{XJ<^pIVDhBafBx!*lVh-e<3fVH_6m`QD?%14@<6)aBn{k*7yv
zi*?4{B#bu!4BStmyI|$%0XZdiTzD=dCV>5Z01kde?6<JOV1=Er{CJ8jc0yW<uU=08
z?96LuM~ANzkpRHJh@bZ>;LL_|;6}?Ovdp$s_a^A=>+BBf8`Ns;K`^G7-^d5vD8V&e
zL8aR5e;%FEa#AC=;dg0jOcVW+Q-!NUPnWQOdZ}2B^YrzfvKHOxkO`A|1UI@Bc6adK
z+?E`{WUlGQB@WKYje^%j3oRrY8F!aam1)v_3ljdV9`mV=Kbo%Yg2%3FNxE4JjHt;o
z6s-CtrcOlfqj1*~wM)c3yDEJrjPI6`@h^4fitouMznLWlS=Yr4Ei$baS~VoL$#zwO
zlR2x-2vZ)o$cH7r-7HCq$bO)B1Yih8=xeTy5yuG2%YgH56(56kJAO+A4ih>6Kf$1?
zeUZ*92u%$O005kxD`m!~HWZcRR8?N18?<z$y(_vsIjreijh7)F7vcim6B-FCDQ!9z
z*{MxSp>16~L9#}o7IB+PBTSWCj<*C7^Wjps)JH)-PFIJjj4J={i{Zb^?V-U<kv6+n
z<6Co`-GqS>eM$3f&O3rWj#JZ@r2}Ag59!xP0+;VaS0-XPoG5C&z@X-Aqz;bN959`Q
zhJdG+CA|ZIX)pa^PdB>w{R99PsCUA@f3pph6c-P9h_EQ~^qvd;plQ6+UWz+IZ(Jvf
zIF|?P0D^?{s=yrdDK64t9?{ZDEn6<C9@tn;gg6e}VBZ2-zYCa;SoD|w<Mhk>!C0Nv
zS!2Kyc*_kn%5j;-Gy)CPsGU1(Q$~rXw}a$ST9TH6B1~yLi$hcMF4bUP-=ip#bKO!k
z!x%Sv({d@QIfOAc8fw=)8apEb1HkdJY$hOf3%sxSH*o>}ovVz3YrZ%VSRk@dq2l6y
z#(h++axg7kTcGNn|FSxz<@d9v_?nB4<GpX$Bf`2S$I^n;;1yIH_4Rq_wW&V&_W9sq
z@`oZ_;<n+Z8~(=VA8Jc-<$W)$f7V%$Tp!5zI#|y$pAb@^*xgjzIvHzIRuR7!TvioD
zk>jP%5RW!4>lHQgPz9pS%!yIay9Bu&_Mz$oK?#X=ws1Bf>-L2vrC(Uosw7w)uqMh<
zGhtH&iS;LCv=G7BUCIVkv?j+1VI$mre<N#tlcK36eY%aWkbnPb?I<f6wOu6|b<a|2
zZ7L&?@#p+8%=l`40SUC${9l-c<%{G+R0SgkdR51(d+Z@_g2snciQnVrSk0SQksZlr
zwgP!}_whCyzDXV)`qpFr5KUXr@>9q`NibRRUD8B$u`G89VDT8e0Wpa%TD}=LXTR7k
zqoyO9COLLpSs(OfKC`xX_~-eBsko$`rrc@9x1UzeP@9?=D0@^kYE_d!VnkhV3U;rA
z&u8PXu{?9v<V}#fL+)+*%geavjatCGLc$HJh5+20lK~UWG<N?WsNEax>h*|KLte2l
zGGH<Q@gn}%B+UP3UxEi=VhtKcG?}Ao?ecFzYDLouRp1sirT@%nve!!z{umw@|Aa8x
zDWSN(DNBa`(h#5T0|nx%$VT>00e&*-WYQi24dtMXLCeQS$(FJ?-ZOr=P+C=yzJ3Fx
z=8H)1=g4sVm6HC;N<~~cKh@4u?zg+?+OWePS&IDNS~E7L%yYad!T@<a*8A6%1+Z`f
z<}Sv|w-%=%W2K8IStCUS*o;UIDms<D0|~VS`^8}7Wjq~t7fZH(k_6vJG3La#KEahQ
z@=~DkUJRybdrbC5?zwht#o{@@rj5nkQeZ1?Mr?PO7*BhxiypK-bI9{d9pmXq_pnZZ
zt!Xg*i(Rv)_D@ZO()-C=w&LM!E1g|W59`AOpk6d-loJblr-UV5+xdwFuLoXVWt#ma
zewa+~K^^vjK^d+J1NgfOEV;K&C$J4yKUvZ9dD7q2=`e$vfd%qi28|KwEh|A(74)EE
zs3C-&?>rZ&sa{NPvgbqhh_gZ9on6g>$%Ip$Bd@GV$0Cx<Rt=f(X-91Ys#-h9E9n=P
zg@(*P0fz-)i-n;9Lm!EOp>86q;>dxeb#qjO8WQ(MZOLiv@@9i8*ojp<;@J7R)k_sM
z|6wR#@cViY4k|$1?Q$0{*^47k1^PdG3cB;RLCK>VO8*pz*2n+slT*Ll^#DR8y&8vt
zKQR2cO>-2&%q04@JfLqvSmnD0{wv`jZFqI>i%xlIoFU*G7TU9)cz@?jp^{Kb>No;&
zYLs7rh;^(ec9WnO_3fWD0e&MOd$Qv0xZvJC@vdWtcug#%#LZQ(X-Mh>IFkI%0TrN~
ziU;2Vz~0e#itHuu2Ys5tc!HmL%0;YcBe|In<MfvErag<PUdn-+#Cck&G4w}(|LM|i
z^@Jyo__V@3n+3?Hk2W)Ek&RzmoW6>_ZE}1mwl{8LBv;WLN(*gwFO6A~?sL$ls>xe^
zI0fBH77nyHOvB;o@RGZJc$lp=uGoN^_wVC3sjKSI#`HGtK4Ffyncn0M5Z-7PtVQ$W
z%+eTYUR-@uYk_}g^PDn5=5$Hpmi|zCUG`Ht#9B=ngH)yWw9Xc4$wr*&J}Yo%uJ!V(
zKgndx6gcLrK%6wZ65)mpOLfi`?cobQ5XP=GC|h%zR2_OGu|Zviv8O4AGi7LsIv>Lh
zk(KRLzH~rov3hL(R5@cvU`{UPg6!F&0w`sXbmn8(W2*k^Q@`^Bmh?YPC-@HCsbRkb
zF<Nh8M<m;A>p{$NPd6eMoW=OyoPV2vx_(!W@1FwmbxMXAuUBd`Jy`E7a;nA!V}?uA
z;Q6Fzna2m)4A!RarC0xbcw3C<!g<vXhy0C2+6Y6%=Uzng(To;4Ekg2)JLzW&XK64W
z_8n#?dS1KFdZC%}de%hBe>PgQE3gsS+F4H&vuc8%Or!cXFuh6w)t%bp0NOBz-pCAv
z78?!fD0O{Fy=v_NqXSnb2S6At%2jV?g|+E4%&Z@&?v`l<VEtvBU@)M#lo|jwwe9#M
z>a#OiY_Ld$7u-y?h?8891pg9H-Ht0R>gIMj{TvW0$Oi>m_~g^^JhAvn<|tOwivzXU
z?dKek|08PtcOe)LN$@;_IVZBfiGYFF@%(ZN!1pPZcE6WWa;}9r_W6NjZc`_n<4{8A
z{j1~$N3el&eOIhk_L)%@&X9_yo6Zp6==)JPL`jZ4=3U<-0Sk=p>_YzhZ`eWg`^b{k
zHi05sTQ%f7wu9W*dpnq@bWu|3@Q>NMBW%#YN4P?d^xkX-<Vd;}dC9-f`c5S@Auy|&
zqK8k+XA}@6MaIe3@;)J3sm5OD2Ed`?EKsa5jUxFpDx!pX%?E4!jM;9R2JrwKKsuy*
zJ#(6K(U{~hM8(jBraY!mN0?k^@BS;KktRY`&HyFLX?;-P^)zwPnxMj~3iP^18my-$
zL{A53Nf5U&xW5nD9?P0--1yx%#14^Y{jCg9jKg4$t0wg0rA7xEwJg4Uc|3qocp(`Q
z_0;1h4(En%mN<|f3O6poyKjGI=8tX9@8T=^8GE|AjWbzlIUXLiBIVF=B-CwaXg_+i
zEyCOwUluntxc9-LA8K?I3j>KY<!mVFKYZ&e@vHM*W%mUXY3I-H%M%=MvUA|SC2Mk?
zOF?$gp?Nk|NJQwKmLr_KAltk!51R7dBmqsqy^jn)-X~$SO)CZY*b}Fy--}&h>cE^I
z%KaNlSs!J|XcZN?vDqE;O0H(G1|wY#VRCDP9RP#0?pO0=7pAKZ`1!J#=v_C{`k$YK
z(vpxP1p?i2K=V*Q>|}ggFexVyu({Bo=*v9&c^MnTZ&sO1;F|PmbV=yYV}q@Vy6#Je
zU;n~_Rf@4a%WQL^sHQ8Df#-`aLDlI^&sr_6{3Pv6H*1-Uoo%l$9YphjQ|-JCqo2wH
zqrZ2qlOtZ(KtlAxd~U=YD2g`zUJ1G}-5L9Ht_n8YEt|QPose(yMk5XHTYEir#Uqn|
z4o@T4@nW5YaFJ3mZ4zztlrS&*6ht!%eP1Hb2&HEldFp;RV%3VcB-*dved2@2Foyuv
z=wIhzDC{G6IXlcTz)%+>x1Ej@%r-#L#NgqSO^@whVYGX_44htCHt0@{Lj5FIQ-|}b
zm67NB0jz!{y*HO;zb(q3_ki{y%9AAf{EJ;j>%*r`Mg~FGi6PbM2TTV(iqeDVpKi`S
zPFZmyUlN{M1HcqpJhV()048Kp!AXWm+^wq4V^P0;&8z^j$hTley#fnVUA1)Pjh;Q1
zw`umfhgwMxN>ikWpQXSgyEq=b{%h~5-16!o=%M<^vl=TTIE1a9>PpJLCQzQvwRkU*
zB!pVcIS`tAmC5sBd9hLI61Za!skS|jMdi!BYc4<k*b=0iI5qR>bmNnn-#y8NXN559
zjdrWUKeX626H+ALoaX1iDXit&C+hmThqB13G;+1AWsx~t8z^w|H|UhP&nwVxY^_Ki
z#03(1z4cnHFJJ8J1v6_J!;>8cQK4$#`JEE=sHhp(Sv96t6%IidJ%y>PY~k^(1+LQ+
z?_+3=?TEyn1FkN>o|K6|mSu5Z;jE^%dNPzL0BduoIG>0<A(fra35abo9roxRItB+~
zhVh`qapD{0@je@1H4<l@1?so#JtcBT$XI9mbam|i)l=^A&-Hmyek+TdfO^=Y^5fGg
zE-qjqRMWM5=HL?3QtblX$|_dS(7^9xhP!kDJF$|V6SRG|C8cot%Sp+iB%vitJT*@Y
zb@V~15?gXLO_?brq!fW$i<pfd7aYYqqK1|jzYb$akw8=1Zl^GPFyfFP%JZ%jc4~)d
z4yQx`LOJ1(7mlv)RuD@qmMuOWA)&G~LHGMTXZ}IHw33}RH#^-5c%mAbH5ASt7R|he
z!_;LnT4`+q7H+YVKH*r)ZmRk&BXBK#FXRCu;<#CBzyv>o@cwTNTDp6RQ`MRs@8brL
z*I!{1F`Q~?j&ydzRBQQ4mXL+mrnDMPsiW0|GSyK_Vb~?WX5o_U&*s1@?&mBeZ^nKd
zu&hUQRbc1vdM)|-7XM}+$G#Ayh}0HHa<T(5_Qp6o{5(E>j;(?4g|_Q`1;h@ip6lQB
z9{(rr&K+!ooC_2Uu$;o7fzq!zelBBw-Ozcam+`<-J*h~sA8^!}Fpc0du6ZhTfn*kI
zuEk~HIv8OEd_k^JPlG!5z1P#@5SKs9teH95<yBlxMgm)pdaIew`}Vy^4f7rYQ5m_3
zYD7if`y%ChO4>`vVgvhV7o6%vj_X9l9;Y$K``1?M^sRG5h@b>UV=(*s+HeS!)Q^De
zA?)Kty2tZ#{Jh%R6q|vQK$J6}PZYs$se%o|R0k-@*0N4%P|;g?<pvxuBgD_?&!EIJ
zbpd1D5gt8?%udiUjx3*LGN(n{cxxK$+YADwCix~9fiEwVvP^-@En<KEeYcdU<Ue<e
zivmIL-uQ-s^w&;y?-6|Z<71^$K%-odb>!lOFvHrYKAsoBAB^QYcv3I8G|Cq{B=EB)
zAVAN+tKToAA#YYQ4uoEr0pD?Y^8t$?SZp{^Q?3*D8KwT|PWUPhmBY^c=PtDa3yVZb
z(g!TjLDNa-<w4`pT5hpQh(+j^n2%90aa}bB#-;@pW_Zc8D)Dh@R58og#~B!~u7<)Y
zrgmwQl15N>7kR|7m%ow$imm>tR;{cehVJ6rqpr--Vn+c3B-TgY5^9c{Cz#9tcmY+f
z!NoW<tqn9JV4Ldr#n7&zoAUij29$?1kFq0nW6I(yZyW%74sU3}<x|pF7&cm(o@JL7
zI%_!g;UT`+arj!Z=hbAjzkBr9uh>nf+G%i>lUm$?I&B^vIh(;FXSZJiI~p5&Do?cV
zgBVR4@75g;OL{X)`IHwlf81D{B#yNu77NtAWvJn(|EW6nc5Ekc52S58Fkuax+`0{7
zB!(4f7O(}5p^x)=mw;*OmpA1<TO`j=cK*sTr=b#JG?vS5<Zt;Fg_V+bvO+O}KN6G@
zmu8GSMKN~BGDl|VcT8@NV5K^pR~3iS&_7<18Yn=%z<B0ygJhJCI^v3}AF2@5f()_!
zXQBuJX89HerDjs4rSaEkl2)=MJc~VU*!Ae{GdI}@1d)}(cN@2B83s||!eL``M!rQ=
zfw+zN^;-7gqB{W(zvX2^e%H>yieG{+Tbz{I_X{KbMJ;mr=zjsV#>($|C_JH7Um48A
zFjw!pzfYl}h(jAk=fB1q5KifHz7&ZZ@AvY<<};d_JN0_9m;;WYe)sqPTGbOftFuU3
z6xFHwl&1KwWjp6&lRl@GA`WIg>yb-EIiDc~`%!TkS7ZKNxrehfjp(4hGT~M=+9L~E
zJtZega3|76ofi_MhapCtH?e_Vu8cHBiBPUX!ZWMzN&G(jm)N#Cb!t#anz50`OGpHW
z1Z4(d!7G(17>aos{hC7`w*+Gn)AB1P5WcN->=@e#`Rr3<@Yq}nB9V}8Z0Pq2Qhj#x
zwJ^(_kz&XO3StP_2mQe=FnP~C&aWpdy^1sc>M0kxGL{Voc~_pOXj>piMx;)#(hoLG
zSi?4OCf=sVWJnqi%Iv>FGU0Bwt`qUOEt#qgx!^x<=gb5Hq=aogJPS)viM7jhZ7@Hg
z-+`^f%A}VtSMwRTK45Cvu&j;PF_3uB(f7&kI7B|~jbsJyF0^`_{u}YY2*0kf17fpQ
zQhyo2<x~^k{VYU=(wzKF;&a&+$y7E_?37HMZ^9X{*bP+$@tZmmbW#O*4Kgy7j=(%b
ztl-?C4?7l~eUF}L{Tc8x3Our^354))cd#v=Z4V9scJp}-sLnP*U(Oe>Ea@?LO{cq_
zj4A>wTVk|sUFcc<^tnTmN~S+P4(*I~75s9H-?U8&yS0`lg9X!Z>bD8j{Lgm3jxp+U
z{k3Bqe|K8UTWDADKR{bul+lyPN3dRcx2U<$+Rs(glMLIVudhzLnn#DdrHX_*fml0E
z-LHnk?j@=3HMhG6Vw&d9FMz9~itcp;O^)&(vWNS$231))Hq`h0fAGBcEt5j5$enHm
zkdO>VQox}RBH{AJks)Sc<JC1itC|{OoG)pZn(0x+=4k`UC=Y#$Pg{gcMly&1aB4Q)
za!v5_!AU#R{n{GL3WAKu<AaxzaK%~GNI4C5ylB0(0aL*CIK@Rd0PA>|oT7>@Tp&g5
z-|mx8rr7{R{UT^yU{PdpOXMbYD&UqaQD6DfV?7LUs&q=(fQ)UiJX-qThoAh>`<O@j
zFV8moYxr0=$~(Qo*kk70`iG@^k>nj~aldbGW@Pw>X?5xhp-&v-O(Q9%y?a{3y6l=^
z0Nn^imL=uYv@V23G9&xjZumpDI`JXT<D9n@JD(IARXv!#hioY}qkGr{09<&Ije_i5
z>YB$jZleMMZoNNQFL>-|`%S-h+(8s(Nq(O|7>ObaR$knGX6F~%WWQI`c%yUx`?e*G
z&<R~tTb-*`Lw7nvP`<1NU$0%v@BW8tyQ7>?IXURPs#d>$Q-1)d8w5$1(1r+88#i8`
zTRUS8>RehOv*W<(r~2Wb?AveG(U$uE)dDEPBY5S7sa<k?mT=BLH|6Va*vmDclxO$<
zw#U8g-rcM6<k=641A1b|cZw~~a*?-QL2dRpNY;quYhXhpv%X3WrBV3RCBo|Zr!BaB
z8aQ`~QZq@>Cw=tj=YXFD>cI{yOLh=I_)yk>N}*$vxTQR|JNhUzfo5XO=G_+mI7AOO
z7s)x<uO;2)9=0Fc%;hSKDy4!8S3YWrhq;fn+K;~F=+9>t+=H+|ZWz7Nd&Z6j+U~aQ
zFgd;7dL^xJ7Cg5pq9k*x_zAN%7jv_?Y4il!_9Mu4INtRDE(mI;r|te2y>UTGA${_W
zRB+=GFrHZ`yvwy#1y|^@>OO|ybe{>0jUMd1Du4BF+_ukc%bDvRDI}*`g!iUc-;30!
zk6giQnR0YKF*$2RdxyQ;_*&*P-_66V4lz4t^c!akT9F8N?d?j@t*)YM)1=dlFZ2G>
z{sS57_#9J4N!&ZJ2hY|oHXI%e6G5rQ=vhjPs=SFf%d*udWn)+BQDvU3iTF_@D94wN
zZ*f{ac5)vbHcwHc6$FClO`0}z*w=uE3Nno>YQfOmxLVrk;x%yD{Ru~@?Da_&1__2*
zPz|~pE4-F{eMYNJV=&{0=kjr@pMRM>h;8x9ySs_%2fU;m^Zw^N!ze6;l@p)F)|~=f
z#o(373MkjgPhYFcg2;sRr}3T?xqn|<^m-l~?m`3a_So;9Y8?NjC(@MNRGKx>wF9;0
zPz!aW3eJ3Eirk;KiqRiDHYp)un<-{Z?nmTJ|Ixtm>2er2N}OOf|5V(!&+iksJM6yh
z5b;X$0c|&WG`E0Hke0<h4kG?S-;wv-G@l;-oo*MymVq1*G;854muObFe<DJK)*&n?
zh&5|%)=-S~`*_XsOo*IS_y#vhi)==wX|<U7`I)!|Lo`A1O~H~IJxZ5Oj)t!-L_kw9
z2<w4b<DHT2L;;jF)zFW5v)0_92JzKKv%K;dD@@Jm^I2(Ia-V^;pPmSh$(&g27S=01
z43Q_cb^b^_Yl0w*(Wv6@b0P>zy>sh|1Kl1kp*Zv#jyv3+=XWb^mlD_elkE=$i5lI1
zk|;-WmFSz+xjA`^E;F@-I=AWf&ej1n8lIt$5*BV;2qp7yb<rB1ac0J@@EE0Z%%T2o
z>@^3baq|VtH(QE+y$@dm#`2{3(MKJ%yR}(V6L^OTfGMX(jkDZ$+u~zzzf8j4f7xU+
z$=O59(^0K<_}nDl>^L11^zlhm6xPw|{U6R6bzs6^8R`48%g|u3(Lnxvoo<&13|4(A
z5tjOG#6=o7o{o1Pj7t*`*TsFuGI;Ntc*;EjD-eK1`A@|if97eZwBie75yX!lp8BK1
zPR9TIJBLcd7AjWTa(5%5_27%-h<(DGS9yuA80$@hz(y3=Z}%QpDe3)SUUt{RKQBRk
zQ^)ABgI=km?wE?)a0lX``emP}L6tH<N2tfZY{NA`5lbO|V1cqH-I9`JtKvJJm84-^
zIcsO#;uq{C<|KKF3y&_!s{+f_e$BS2PJ5)s$2Ab65`}mWMzu{fQz6niP|$m9D&{cD
zJWF?jh(m(g)Umr-$1Vd$k5F;%&nM)9T%_imuR0=A=rW(`u9?iJ@!F$;fJ?@2QCdVl
zS20ucgUb@63LUPaRa_x46Vnz4Ag$;rzYacF>uK?=qpU4IDf8U2_`h<W{_(QlaW9aW
z=(L*HJ%zZ;M;6Wx^<z{J%I<V<!Jdf~ds89v#@HZ=i5GA2VnB|!f|rGQ@+Fxsp1#SP
z^ux}y&06ASDRs`Tc^2k^6ADu0Sxy!~t~jm6A)XK5k-K>=SyI*&3})Qliu5zmH+fcf
zm^1z7$VEjNJDVK5sUAUan{!DBaXks`+yDn?9$KGDsLVblAolm$prcS_R5>9*YIagb
zy6&gnrJxa)DQ7$!VzT%K*yOL9h7-rP4iVC@S4v-Zu{%FA#RU`Oy<C84(!VqTt83{Q
zsk)Sia_33-h3dmVcZwrts~u>q|3%-7>CA1OX*=@9DJxNlOzC%&jZ?;Jx(_wRh0ZFu
z&gq7Yn02P9A=}?>;EQKH_kugfB}s!6PZJigC~tp9fkW2r6;6?O3Y)bR)XWYnJ8nNx
z!eCPXzroh~Wn0a|;j&S6e6#knUP-5MsK*b=dDX0<2q#<M7kUE}<?M@Q7pc%S&9RaC
zc(tg8pr?~1g?o_4kcH5qX_Ent$34^;b8V=yM(bXFw6C5)bYlo6M-vZi^|%_jNX}X<
zf5tc*L%0_Ac{X27d{2Pk(64FWh*YCE8H6qAn{ex!s^0E-`{&T|*p0=QTKH|*dPA|H
zdZaOF89t==Z{_{}_+Tpjk8wuKK>+VMrw%~u=K-n&(vs={BiFcrN#8f+xs6VG%vZNz
z4fS<kx&iW7Eun&Qwc*2B2zNvYeT&CUDxnt(VBfCQi{p_{ise-i@0l1?Fg-qX)1mB^
zaVGpC1o!;i0ov+;N4Scy#E)ZYtez!=!b%t25M&gOaQZ+gvacYYmKc6o+p8GdhlKTz
ztJErBZExyUen&!wdHHwo3KPG21W+%ncrR6CJahHYa!=!(EtKSoec3>_E(4vdr(F>3
zL#q})(iCT9Y~U}cz12E*-?5>6F5R&<2*u3Cuu@j${&$c%oJ0Y%fG<)8eHbc`e8q0v
znAN|rh$F4D_DwZyZgQwnAXsfq(^ZziIZLG*NV>4(*SB2-XMbnO<mf9e;Mz#-k4)CF
z`YEI7-{5QQaDf<Rd=TpM;8FjK+*L{&ewXf%vUE#k7KrCgMQSPw>FY!{mapWtR;U-?
zO^rI~+xhh+q<XFt!5k^#FVsyW<YpR(7|tgKtJ<Yj3OJnvFU>vW8WtmE>2UhKlTf$D
zKb0Zu-OB}~RNdcY843D_^tnB(f+!J0g&($p&+uSZmA8|pe5*M?9)|ays=!VFp*Vt@
zDkg@uB#j<-h_X3WRsI8X-9gQ?^lm8Ei;p%`OUTPm;X9(b^nVjZw3xM`cuUz^8*uNr
zp>^bud+=I{Y<1sShf^eAcO_9z6T%<}zL0xj19#9@Z}4F+quPO8<-K4~c80%Cz{=ee
z>9pfJYYP?-=@{6rN!ZJm4YR86irI6AZ=LP!TaUqOM-@-<-r+s=X|J2HG8eXhg5uvz
zd&i4DGG>q4m;b2B?NeHG%!a7*K5yCm)=xE)<#f=9li8{COu;^`TCDD(ZUDpIC$jNK
zYLj^yesikNnb(?~{N?Ilk+qgN)sqNwGsOFqj201cEC9p!M*}CWqgeu|$$Pm>vTP8R
zRLn=G@p9Pe^F4cLTA%kNs$FX;T1Ne>qtE;LEWD;J)(bTa-Q9TB_u&&4s-SEw!D>nk
zn$81lT?Ux7E>e-<-du95#m$56m)}~t8c1S}3ksr6V$}uVM9b%08%4A83!M{!8%S53
z?9?nTHJm84))k~PA`0<FB>y)?tQ%`Nf3~jvfoylMr^U<KA(D_kicq@~<0NsN6CXf2
z0&ZN*g)nV~fh>ftsI42n$5U5Std*qi?Z*3_V9uHst&4aK)D^Oq9tIhYY5kx%ulM^(
zJoF?4aG&w>kC-H@hRVX@i{9%NQi>s@1Ds=6fg}W`Q^>_cBFQ;Om1*~FvzT(xi*~No
zg3;+XHx=Qgir%s;&Duq^#cZD-k%{pa*`*g@)iLNlU(d=onL~P3JC?|Zj_aMGC2oR2
zvx6;yyU5SoSaXkQ02gQ%yYmh9qyazN)TpO^K_-1jmnQYQ%;L&%q)zd1H<kTiR?NHY
zucj%3ilKwnk(f&)Al-=iZzGuxw|OZ30k$&joR#wh6=#O|6kB}2SGX2j0@w<Uz2Rt3
zQ_o@W6fX{UNXPEFTcNltpyrbFkp<sH2yr03NXdQFUD-R<(j-T(Y+VBIUJRtLb82f4
zU1W{+3!N8QtO^s<=JDKQj5X%L^I7E-+WLaeVn#_kC#Ry1m6s$TcXG8sAF;PZvfh}*
z{(^>i-fv0|h*hsv+hqKyojMjI@!f6i!C50acKDC2V@f`(TH{tsCh28a7l6%|Ip}#(
zE6*A+(AVDBc0q@FEN>8(h@nDv*aK_i)W&iK-;7+Nvk=_>I{C6}-)O&SW0<OT8RZ?b
zNB-QVVZPBD8H>*jV&-|()&4dINEy8M)|4PavHX(@_+<K<8b^JlWLD|zhwuqxS*Xb*
zi^H3ShdGz+Uh+K6@}|DTjJ~TC=g!tLQ!5o~>ps{wFpPgCsB7$V(_Gi1=Kc%dhLLyq
zF=4TPl4=p_l3X>MruJDb%8?_pS?~6vzD{#~?z4{G&ChgXgP)!%>D-md?!QQ>e~{wB
zVt)P=QayPnisFhx6tW(VwnAAZ>jE@WWP7Gp&Kl9PL3uIE4DQ$?yGaDLqFusJS>_th
zlB%x)6Vo}0j|ei8nFA{!GiGU%pIvwL5rw)46ZMui*@n0WEO~n{QpXb56Nx$B%Xzgt
z1)=Z6I?MV>I>juDRWVxH`?b&S==frb+GBcG9wNnPwvLN~HUGNHkcTQbTrzI@p_teC
zz`B%omy?D6tzsQo$qkwby8}VJ65O4RtE9H+4l$!!=UohbT(+Z?Jl<{=@@;fkh@I6R
zf4E~ON-D7dJ7+HHDbn2BRqeuoKEP4(r=KC>vS~m!iH@{e`$(#v_gh6A6ghY!$`=Jk
zE3Jf50y3(T3uI-Q9;vk08TQpugwa?TY~S!VjHa*+QWKE-$~=;B&0vKV@gO%K=%Htu
zOMH5$L9MPK3uqP(dNn#{2lbb|sFoA7!|~vIZz9pl%<l&j8-{DfZSD>oG+i2~RlAAB
z6h?2||Ezr>{6-BmA))hg5Q)}h;z89}4BGAgv8+e@z2hngd9lCA->u<8e?@q8)n~sh
zsA*%-_xrAySu^BO)km<?Px<!h45Pi#h+n{AZ>Pv%psl^4x6m3Pi+TcWed&G)p?d6`
z7krO#Z{+zZI|pG$J0FmOgk{rWGDD<?nqt_PlY7`hXmrq$D9ew=^J7m&ZE+sP$`i%T
zI=QHiK;hXhYA@j}zUC~`GoTy;jl~jd3e=xk1*!?Ke?cTcZuVJ!Zhsjunx72lYRwFY
zMa6nIWoJIIo$tbW7^vO3Z!gldVQs)&@rS&2Az%lYXJI~iH(<M}odfs8-(5j`?7?*X
zN!E5kiQ{1JJM2*p6U>n1hh0J9--n0f93Rwf@jW{)Z8}f_QZUG>?J0C9g~rnJAYmJ$
z;W>8V3kwXDm`cKobU9eGQ7vBBEen6#+rpM2nOpF1?7rm9wa91B)?M&%cI572D~_^C
z+VUCQuGxdJkH|-`s-(xwU@J@z2<AF1X-O+XE542Nt{_z<@>l41yyI2z&`M{DIo6B9
zi_D8GQub_q@3i39BGJp@hPTC??;Jaq1mhHcMxYE3FS#_PYB>hNO_C!5B|!jVtk?I)
z<Qm)A<j#Brp<|?oXkQSiH<_>P{dH!<40EmsIfi8#w$IqRDF2C(K!tPB{@ku__Du*z
zzo#v=V{|BFB`n}}7u_V-$@DJ#&}Ic3P_-u36d8ps5JicIIIx1I8}ZX7{qYT`IRf5?
z-w2~w#gWIb8W|@U@{Ld{5dxWHZP!;1nx3=pNA2*|&UKF8J)dWi2h+Ec&%xeNf`V{|
ze4j3Fr_<4vDKIRk7052#MndKrs^+(k_bY=XW<Ruq|DX`yV-Ay*sp2y%^k0~lIvp&B
zzx!^;;UxBAI&Rt>pJHi9bXhGp2@CMIc6+?S*S;otR@Mj7MrnO{>NOTFD*u(aI|sv!
zP-N!Ia0d0pF%*nuXUlx=@cV&>N7lj(j?l+u%gryJB;uIxm8KXUTCs1ZbU7`5zjffT
zZLc!de?RW?$_ai_v%SRIW@LZ-v>?Itaa&%?9vsL5cPFQ`s;_XmWl&q&x<z#-vRIbC
zakugSwaNiNt$>b2L74Rf$VrZcOY0hqm<x6Kr`pYR%MO>EMC&JJe%y@;k?{&+6X%LR
zhH_Qid&>Fxo_X5RxXt^uA@yI*(Ms6ZjRWZX9%>_o#+lbQPTp&`WuU>)AS-nn+jtbg
z;2(G9*JCDkoV79nez198B8PxJapyR#lqt<8KHa}lJinlZy#W7vNJx$Hsfp7ZKixCE
zxz=GuW6?gAcua**xpn)^X{rr%(vJXkO{ysMeYdReDdPvgRePt_fn1D-6swMA!o_2<
z@Rc5q#<r|#45LpvE&w5JQaB99SHef}`Zi}e{i|rWO7Pcol-j<-v`cs0>$8WmVd+RW
zZfTkcx`VoT7j%!yoP~E*aQi%T_7W0eC-f@)o<8?*Wi+&;_9fRoMeAeEeAbv%V*D?p
z8(?Yl_ld9Mn5!Sh=Y}q{B$KmVDMmv=NADhZdUE*l%CC=sEIuiN6T-QU`D|BQBGn>h
z-@A2X3+B@e3!=&gmfRl{zm+sRFn?1onT=t{1cAw5KiW7>M;diEIY<vB5`j`_Ptj#a
ztpDbcqM!GI`@p9WC#4LlKMX=`*X?6J6{L3h*{T}5T0j3O*UgLwXTP_v7g0q0<N81`
z6NQT-^IV0a6^id8H^~jF<yXzFi7e)HFXfe6w4V^qyT220xx4GTT(@Z<(pATpW@XLI
zPq(;Bfvl^7NJj-+6VX{nXf}u(efe>DD`-=k4`QuJQM<TiBiUI6dL;utG*kxYmsCHM
zZ+Y3Kx1aG)^e$p3@VP<D_os+a_Qv0JCB%w&*<Ui}ly<h2*YB8TwYG$_R3~{(XO@~o
zS$rC{_Crgmuu@CJYUl6Abh!TBPqBJZ{w`mfNY}+pl(R#P{FX7GzS@ZwN?9S!(rI1i
zk|1iamvf(yi~_WHxqvJkQ<dD~6`hanDEmcg`WxF_`0dTtP!^K)<QY0_%s4w6YPpr^
z;A*PoexX5i#2?Kb0txXopmUrg;-PGjt8G7fbyfgE&pDG!N=Jdg{!GvWX~fl>j(*2B
zN%uB4VEZ$DLR{}^zUqEMO?>f0zX6;%G-igGXLtO0&eZY3=0Qj^mEKqoI7fSzIl(1j
z>6K0E#I<4#+8=jt7gDYI=$=)eA#xXp5_&4>sclPbv{CH$YY}t|9#a{6*9ktwN}^U1
zY&f5nq`&>k02Tk5*TZ0E#rxGuZDfbDMvp|cF&=cJ_k9`SFHr&_fn<Z?H`&&6?ygC4
zHLRyQr~-}$1rL0W!Hei*u(Nw){mhwU>S}65W5tJFpL{pD0*6^qC-_lHz;o5u2T>rg
zch1nu1BS)(?x=3&c$L8;d}riRU1x7)QycBjPj%}S6?F>^pC5y&0<sSd0RBNUu}<cs
z4h!qQdL%C13$a16Wpy~A4FS4&MNff!6tYp65$D06S=mds3OZDstp4oN!yIvq8V3V>
zLh=y%Ybm6}Qca{r4G2%QrtXeHDRy)RjhC3>Qqi9-T{I@GSCM;g<O$fNenP(fO_nO=
zt6*b1h%R}@x!cMMNO~aTd}BNPtl)DEUW#QaC&8KS;M;$P$^PGkwzf)2y+vp2+eCLN
zu;lo3@57_%)Z1G=U*XFY%(3qeEO~uD2@JY@U*W)MtXuF#P`$<R4@)Ccj8A^i24SK2
zrvLBG+fUENuDO%S?sl@|g{pTvqqju;I0x$W(c<cwYc4U!(=rg|vLkUQP9f9?%d-@`
z4D63gSJfZ<1B-VxhDt<jE_B?nq@)}D)Zbt&0QV*qxh+@135l1jeSnC1{{{Blu*Y`#
zJ#+LsxCKE2+8hwEzR5l7^24qDvOC_^A<$qagj~#S*uVBqYY6(gT}S`;XA2nfqyuhb
zp_OlOq4hQWV+*O)hf(&Z>axJS@bFt6Zo+8$FdyQ1G*))O!;6fj9=ki=h`f-W$#wht
z#aBa%cZ7##jJ@65qmB(7IWkPkZyAe^ustp778dE}jg=A6O16n~VjMHu&j1el_QYib
zp5eR~F-S0*!>q~fX>zAop{b=|_E5xO3i{C_?9Gb#1Ay3`6cg-wy?l~^f5N>Q?DcQb
z`Csh36Pb{Nx{pd@3h3OlV{PC&vh|xiYB|s4j;+gWMbu8VY&(zkfEAQ=H323tB44S@
zq8$mK)ELY&YRN$EF|%~TEX+GxGL?)H*raM}Xp<q-^K5u=&*T%%5w)2RnrbHFT;%Yi
z>xD8qt`7xCJU9-PS=aiM^#x#VEp7OoOQumEs};IU-y!?EOLg4u`;gh#B+1O6#%KhS
zpq(sb*sTrir!&JGEZhFg`1`kS@#zD$zc*qsUeqOX{rmx7v1yps(b0JWTWzL76mo<)
zdc`=ut>U7VGRyR}ZZ%#h2pi)Pu+l2+^XJ2iV6YAKC0H<lzM-#z>*$J;`yxZ2pHaaT
z>YN<+=GenL1#LMoLJhL{O^N@jnyp)?G|hf%QR#)G{c&9rR8*K;sIR0uA^(GZ^k+wl
zi={M2!_e|lb4GHjVY5s!x|l$*ME9Y)14LPm7jIQaOkKETx?>LV-br2>O{QXwuzmCh
zhRF}`f?Fy5cG#h7)tFT?v%G-ldlJeLj#jnx=3pFUsO>|PqjXNF1#hb{oWbQevkz72
zh`;NEwr;bO*4qig=P%y-mRJNg3LHT2%6<#A#MVk-fA2Y4e7Q0j;$~Jw=3(WQv~x4W
zIWd-bj%UM5-0)Gr)Es@;h-bhzr^LpUSbr0AHh%L-G6x*K#M9~oRinHn13?WTK9E_<
z1Aw}*jqV3d6!{x;$^rIrTeo$xL-2h3LVUJZXkWqrIF$Bj$LJJ2b~m<q%Wpl_%?<Jk
zT;k=XWK!^$Mmei!l2>_vnM^~130k1U3$c6p$)E7edPMKVY)o=Zo^P|Tz1tGqB(#PZ
z)3Zip)bCv=B{#IEh8iy!Z3jrhUw!?#)pQm&kl+1<`Kb^BT=}+h?v2EpI0<vzVb5(%
zgw5;$B2c6wZP?n?nVM$eu%Ikpt-q)9(&d25-)^iU>bdgD|9!Omm)>>czp>s{p_f#_
z3n3?%XshpI*0$BuSm)e;5QZ6ipuU`xDO-<JkAWH`h?#AagN|Uhty@!zuA$(OcC0Hm
z@y#vlwZtt}Gx<74N>HE6zP|T^&xQ9vL=`dntyevj{GW;JG_yV4?2N&A9%@P4iTe-c
z*P3OQ)ls16TM7z_`aX!KK+Cr{BODe$oOZMY1ed^^L<*a#FR%)t`?BJB<lzR_`{#mV
zV%_<e*NV5#i8X>m#vM!cdR%q7r?os$$;y{^;|3z{jf}$ILB?sfbgr|Eu<m3X<i5w+
z<Hg)4lN(GQ+04BC#ArDf#7~OSJj<4{sx-?HS4#x!U`ZZ>sioIGbC-U2ViggcH1wE#
zW@BdQDE(M%?WcY<;{aVh#$|r+H8)b7$8P1BNzN;*VAj!zOE3wB?+VWQ%P0BEHSY!5
zd*vv`%TX(XS&<Ilil3Its_c^iOz|VuX*SSng<RV2i>kMoQN4;mI~|~l{K$M>qg{?4
z-Jc$bK_A6Gv?1&&c<UGShac~$XzsTT;HCAM*PwOvZc<-qM%#&hAB8r)J7RHf6?75p
zKZttb0Ap4SiK4%62`;4}HDo6uM|mi}MR}Cdrw8=5Bgkt-#Lo0Bsv^tOONTrpL#X0W
zFV`GC$kyEcuM%8$kT>!NTHx~QgEaV9U4R3D5nco?{JG;>VBe2QNIU~72Ez{eg?-<W
zYi1DdP)M9^adSEz(G2R{_~S4QW6xknahaX|vVXpr?KF9c7Z(Yf!H>#x0ZyM`)G%Na
zX*$oxoSw9o0zZGfp9bu?Bcp9(jzP}J^YMQ#2zEHlQtm(cG)cvty&PoZWES_S(p^ID
z4=jChZ|L#~xUA#oapd&!c`(sKv8@?c&>3vPzN#AV)zYxLGWcz&+r0wc_oqIxeME^g
zNE3Hh9VK(mQ|$F_bYWXw`&iC&r@KKfE?$XWoFpIcYbxcfqw(!2{#LcYAYgc<{K!79
zRP7Ll^mkecye`rs|C}-Pn5W?Fb1|E#j>>6@$uZwP#^^8WHsH(saE0sVE5xoIn@}AZ
z&8n%pOpG|?mc|$AJ$&uTtFG3qzQOYBd&r|gMdEJ$y|Pt{jPHeOUP)&qRL-r(CNn`B
zt?B4zq*QZjK|m4i-u%cVR?tVm9$7K8c&S3mhLP^U6n%e#grV0=uFLARaoeJ)#jA!q
zpqA|4E6tgT6Pxw~y0vF;Kg)3X2)FXvoi0UwwzXhDy#`Cl0guopl<?A3=>uOF+~p&z
zlJ6IGS;YL)Y$2uUy>AwJp?j=6ef%dk?mwZauEX`;UUvDjIlf|cIR`R9|Drv6v0<Tk
zJoFibt_MF<6X-}+j1)R#SOS(9$5#1^%t-fX3pfjER!B`Mhvh%$*}UiTdA1)>sP)y@
zL*FO}kNzdmlxY3H_<o%4jZ5c#zEJ_u*a~{>Eg4igrsvi1d($az9F4)&5Ed7m<I%q|
z`4%!$zX!>&$6BlHGR$|`s1PMFGY5#~p!YI{q(^br_YgA2!wf;;3EQRoK}+!|v@gvD
zbxK-cev{Bro(9gxe}}H&Yp+*0wBPSJ*Vp`%&pP?UYLQNAa|kkBiTgg`l9qZ!pN4=U
zhb4h!oJ7pR9gg7pjJL?I+APkXg{~Zzp=z;rzmW7uVWK0g^~dD#a)pG=xyyOve9H$u
zHDeegUePw!8?QSmLy>OsOrV|tEF8zSAck4ErmEF~eQd(`v;6FPOvyKomRAE6r?7qT
z6a4D(8J=I_bnZ+}pF)f+%}g3|n(ma9aEy$|sBeb?QP%UW8ZuLiI_cfK)MmiSXBHfI
z?N8V(XEqdp&-{^o*d^2Kv!M!7ABXT~k|U95gI-bN-IruWv=F6P-Q=CghVkRpryxHj
zdbtz|KxbXbQ&fBEov**yBM<5}m!m%Se$#3@M?+_ct>sJ0a<jLbsGQ{W7rijzdsSo3
zj@?>s|MrNKyDHtHbHsPOS=!95T^`l2xkxT?e#ZD77k!Kt|DrEm3lsFY!*Y%VC>j(b
zbJ+m#+HBxf-z`rN4!Khaaiy0Thd)YrRTc^+jJlGrqaAk}``8-%5$xW$0HQTKuZLQ^
z66Lj@1eCfgSt=vh7Brenn=OB<I+C>1B>O1>Ln_tsx<9wEpKi}|Q>LidLD%3H(W4G1
z_GEHk^5Mp>-yVJ|@3z{<74BAf9<%Rld{{wjg;|q_QXz)6V6kaHMNyr`4#O9Yg%syw
z+!dMV@<p5ScnAqlQ3QBQaf!NjC==wJh_A#*+9da2rs4-Az^y0vX~jZ$j5b#?cWbGp
zAqpQ0PdN_&I$@Y(MhC53z*(w=AAUqZGg#%S1?exJ<b<~F`fM{3cx}yA=Z7{U^t}o~
zUxmrr;JISCkG#%m24)R5dZRUs8OIesY?t3&{%Fvd>NDj#3Ca#WrW?vruq)v<4!p^X
zT$c=7>Gd(=s|nR+6(t^Lj^<lyc%d_o<%G{Ug*VEcJ+%Z#=%*p63=R#SdG~zgnB5t%
zq$Bq%NfJRNuBs{|$}2(@WQz2<X?VO*9%=te2bQ~~ym(-}Qx)*p0FHG-MUeZwXylts
z4UeckblLUB7Qy4*-*ZQGcW#tLJ<mMXY<_^4zZ>uAhVxV}uz=vl#Gdma0j{lfcqt;*
z?_{1<1qWH(?Qs_ppqjoKFPwl&=DYXa3X|}zvE`Vz@C_-XulI^EC~@Vlu}XZwh$Fa5
za>#6@Vb=&R8CO5SbPLKT?U*e&OT9tDJ(moXjm#k7JKx<gLY>a4^@K38xZyFuTMHo>
zpW^%QJXktj6cDr^E4hNb9J~dQp-E;;nsj_S*ApM5NXaaAYBMGceMCPj-8P{1`FXS>
z#-bxHgWNR0Zy<Z%CdseIA2IL4pVL`sh+(aJk?uNE{|gRYJUIGUUA8|bq!i@-ASLcD
z2mZnU+l_Rqfej2UETinOd%NBfhB8KEcC?I>4ZepnO;rhM{+v^pkBnO8xz}fU8|rZE
zWQ*UVb{9|6NMw#>gE}<C7l2gl&h4BKKiu(f`mW$to8($6@*UBatCb~FGC0&C22h#y
zZ@RZx%YE|2cU5{8gzrs%iw$UJP<=3zRS)4w<hVa0Bg*gboHMh=X}Pz|*mJ^kFt+sU
z(ipTt`Hm&{LjhkCZ|iGpyh|sE&5_G($Fa+UUocS1)mhk5E?~K$xqjc8<ki9(JVGeQ
z#5^TKqi{iT$}tH*KK@+&d?GqLoTZ8!g7xq)bGc)v(z4U(6~lA8Y!y0pQuaRV1M12D
zkc5Go<)+Fqi~KA>Q<AfT`Ep}F0gU9}Qs}B?+f#&k5@M7g!Yvw$Rd@x~B0_2L@2a5^
z#R75FqZUR^kds0+(C0hTk207kfGxO{?kG-4|LBUh;=dVZ5k*Zn<HHcz0P_IKwZGh|
z_}B0`!{yBN*OZczEgbt(VgFw|p$lX)59}<l-WE(CzvMZ?+%|aqiDEI~$u{SU@sYvq
z6;=x|t>Hcs1X<3xuBcJcTq$x9KR^@*OXs*U8c*j2RU6`g<=`o7>O}^HHAh}9ANGxw
zh_$5m2ZY4MO@URhEHLt-zaoeWvLcF55hQ&b9yq5UGpl_J5E}Yb?yFren;Xz?zY4v+
z=Z*KBd*D%P)d9yzuV^Lyc#<t7OeL-2bKqReWSjJap6Mwsxx1`qC{Pn{f9*?6nG&}I
zN13#_;%m&E%wo8N4O+LD-4b71hFkXo6Tbd`bK@r7{ON@3nvUDUEStVGiIhk^CLsCI
zR64A3(l9utuNhY*{hI<1zzo3Y{W9Mz^GURn9lDa01Cz%yzv#|3T^ZA2IrjK9XjhD2
zn>ne}N*3)}rnnK;b$LLAmpxPnl6Y?8-LX=~u`48ghr~u4cwgbW_R6nRK*RkBt9A3v
zOA-L^L*?}QZ{;fIRdEgr{&YzeG$_7=*~5ea8fCfLv7BpQzRBAd^lPbuvE}~9c;D%H
zlu1y0(gRqwRe!$yYvdAJkA(FuFh?YHqol6m)(YuZ5CeQQA&3od`i-33f(<npHR~y5
zM;;m(ASkvLfzh&)LCM4l*BnWF*qUA|8<spUk-o4^J?M`ZmU*ON{_*G2Oktfcr6m5o
zyp-I^Ca#*{KQ2e#BbjFX_kj?9rPzXh(K{nf%rj><j4ZOKO;^O`P=!->IiKm>oC>oY
z=CVC&+$z8Oowd@`zmte!e^xu%AP&Qw3U^iVzUDp5SxOYO%#RYp4+}J(X+bWUWZIb6
zNwM+HB+~6XND;zoSmt1YA@94JE?<7-_z#a*6MguL8Gw%Vv0QK{c4AgY3OG{*6ys&*
zZp#}s3`EQYu`MzU+G^G~<&*dyi8_IJ7x4ugi!%!KFt1Tai82Xemx%qt-(Gj{O6NJr
zYFxLQqWj`duLRTr99A_cgu=*!w&%;o-T?Pd`53;&uM`t>*V5jn`|6Ze&~D=D)H0B|
z`S(9Po@S}E!zXLSAu2;2Kewiw|50M`<H&fzoc>Uq?eD8G19Df|hvfWtL@~eP7E|4G
ztvB%3wd+e?D4n`9_(fh1XxU_&2gH-h+;2CRJ{v=}HwkqMSAXxj*UGxj`#e$)LGZ?N
zOuMgsA5cY$6R^e45SRnuht}c+Sflu{k6Yh}EcGiUAgRpnt=YW6+}%Ug4T`U|h?}Ir
zxaUjtf|X?^diDKQ$$n5M!HF(ei^+Dq>$bw~ZlNc773aeO-qO>cN)3$R4(<4MH~=r?
zDedKwbeB}wFomjzPTO>J_6ILBA&I(ljK%-(i+V}{?vvKYQLnc?4ieg>{jHUY2j3K0
z77bIC65@^u$hG<|%c5kME}E9-fPe*$<2RqB?*CAIq)i*wj8hjd-Z5${1@Qa!DFp$-
zt{~{YMDz8`Z_M?Xm=@GFSBy$0cMbcj7qN!Jv&2gu>TXY4i)XU@taM70TKyv1GGAcu
zz=%!%V7<f<z@P_Sog&?)mU&@hza@`PO&=}xAs59ru&~-Cp<;ctsd2&Tg&PU4Qhg;d
zx_JH^$I*ebSTp~_GBTDccNlW~dO6tWrArcW9ye?x^1MejHPOXsGO_hxSPWVpFVqa_
z8Pk7_M;QrIv$dxac-Lc8h=f$JMg9EGb&?M_hR7rWvyzTmf1<B=M!WlPV2CJ}q2Csp
z%VqcfL)m*pHNkb=!jFmyqS6!;L<9t+i}V^4kPb?h7U?DQ-lHfWU25nE(tGa^0qMPW
zLazZNKp>?3@j2)F&$)UJ?_Dk!8H1g@_F8MMx#kouV^kp{PgkUFV6Aat`Vmtr6EroI
zUd8^G*0`y31mzzVS?8^8{%^7>OT|Y*RyBr19=IV_hU;mjbv@trbw5^DAqsY#33=$z
z#g+n?u2KhIPC#3IM>5<OjyxXURS#qfeO!BI$t%Da!;(q#8!D0yuRtFWsD->yT||Js
zqm#(i`8W_6@6sgKwa+*S{;ekK;&jQusmmVB_w#292(3Enj|Zjlpe_(<d2Z7{EUl>j
zQk)egD0GhlRa3B^Z)#t{hhEC#Lv2acRS{_SlrDx+E(RhMorYuG8#FkH67FuJ_5j-t
z8z)$K*UQ_@=>k2&4|L(cRDwe7hS?2guAPmO=+j%bM1DR!s|4V~Y2FicZPgB;VNLHn
zi$*Gj&$j=H9Kul2O;<Ox<l_H)Q+()}1^j6He!cx9`n}@j@8>rh4qRv!&0t#c_J2u^
z+<KV@p57~>BR<qBPH2fcsT7S=Ulw{ne9g~WhN~MaMK4_*(Dm`y^?bV3>&suRcNhQ2
z01^4>aa<XN$DlC}ZUKR7UJK*&AsASr)PFyBaC#t2W>|Hr;mh7h?S<DSZ^EYuiX@-i
zZ^OD5W-<O!3Fl7({1fZ%5>Pr$`FO`0vM^_14u&`c%I4jjC}ITmq*P|2GzQS|4Qt|S
zq~Q+fIM!QRPs04DN+gIzD2;OkFg;YPk3l77!94RDwc+QD$tKXg+rn|tCQ14FKXIQE
z_4QoEemQ??y!aV|7FQdnAKBG-yhn8or195BdT)v{U<=$=4=CfzVp>yMy31-@B-)?+
zONIRMGVAGZO2xH1t;thNL){scr!Cu(o?e8dCD{7Gf3rAf`FFGChAJ%EqeNxf*z+2_
z+SBEz+Kbh4yJ*O@>@?LnlTZ8ue>Mq%dNZ1Po>dI*u3L)H{Y!=vxyg_u2XXd^b(Bb>
zT3saw#T@}^?kBCmzVm+<U%{b!GyOO4pQ$E;OG4Jk7+k)uwHdXndkLek^1P*f!4qR4
z+Q@<CIMvmWu7Kl5^4R!zK~h7V#i2)#pH&e|Ak<cg#pZ+iXEL~F5C7aR==3+)6_isK
zmL`xS9m}2E*1Y5bq`>?KAzR*JPu->2=GQ#;Y8nKUg9FAFll&|%bT>4~1LYVQY$oan
ze90hD`t&VYG#@1{7VMmu^N&6)G8MLV7d0KBT8xgKi@Xalbm@aa5uCusG?hU|nfxPu
zn+%9niL&o5|3yks_-K|U>*vTIA-S50ySE%5CaV|Ytq?!qtT!nl)^J0<fmh&$-OtHr
zOmB3HYb#P%`WKaxOG`%|Wfu!m<(F~O3*~@iCjvxx1daB)=#)22%#7u4jp3UCfc3Ef
zuj*@GoM<jxMEKIvSR3%57B$&j&q?Hkw>~V--F&g>`eY^)!QM0d=s7KF_0z2nc_HD*
zh`##77YC0By94cTdApy%{;Uui-P9qKwuKS0ye3OoE5M~R(-O<CfTvr+69G|>yGaDK
zyUV|7cdMhpKms@P^5P+$1dYwGzEGdfM8tK@Vj)3v<eemEU&-*hA(>|98iD}}=inO)
z_ePHQL?5MEBZRy&dXZc{U7W_acBO|b|HS}4=^xK|8iu_kyPWlZ(iZ!kF5FOGUGA!H
zni%^mDi$$H^07Hsw{=f@8*osl?t0c46_{TI5=7H2klbi|C9T=n@yf7JKG5hDFX|ST
zv%oJ(n}3R!T=h7TNHj5?YuNLta-*f@l|WM5$g3&3q?K*egQpv<Uo&CRF(w;b)Dy1Z
z`wR<u+Ig*U4?T<-2>VFeKbbpU_1Az^a{T~&LkkeK+|*3X+szuh_a`{sIra0}CT*w8
z{SSB2cw#XC;2*t)n$yy}5!tjyH7$hrB0mq!_9K28N5%#K%na5XZ3t{5L*DYkJzqv*
zyLKv|v5x$&Jn*$CKc^#Mf7rm7tjfkUVj*FbN0h8pTz87B{cxjk?iT;-(?U?o;BxOF
zP@C4d#(&|(;Z0)qX(H{&%M~b|F52(mA&Tf)c+m4j5jUOeyYBWt&l%!ZHDmTFTD|?i
zci#YZxsYdQg^pv<dk}KX%GwJ<$u{bZGDRu3!3Nf#aYs-x+!zD&;eGWGyNx%dYSImn
zaP}Y>0(X-9@xR<j&7aZL!+QJ`3G+t)f*!(iTK$-W8l7f9&gp1Z&P(}Ksiz?JObgC|
zbDc3N5Mf8=MQ3f6AA0>eD|nE=qWo~P-1^%K7%%+D@vaz)k4=VD50CxzZn0lT(22TY
z8UMjHud;WCVMfaBNHNhN=Zy|<e?WaoQyzA5K8;%y|5j>X?iK}pWzbSIkxODlls3)x
zuo3Frd2dFBHJ8!u7=2`s54D5w^*nJc=luC!sGn3(&Hj@wYWF*Jok(cMHLk_0XOp$H
z$0HK!mietjemK@mas^uXcEMqI`83?o2d$Zbh!-gOeKN29WeJ+K*7+uQ<#&$R+x9?I
zYLe3Z6Bez_SapsysL>G=aQO@E`*#cSJi*uZ1|`xO@w9R~INJ7kMR%hz)pV2LA(y4(
zj0VRS(s?T~1DYWM#d4nA4y*g!k@*eo#bSB)X1;{LBMrqZ8T@dRo;}<XRf|=j1N5_*
z`=!*jfagsrr!Ss!L_5g*^D)YfNwf|cqqmMQI;_F$#9>E$M$b-42#B<C-(R`B$*qvE
ziiDmB6>u@^`+%#|pU-4Z?U^CIgCCQga@D8t)#-d#dt6+iCog4?*ude*_d;(Kd%g$0
z*u!5BdAtAqlJmd7UTcV`4+X4zSN^<wk$SQ?3$#z2-!t7_%oaO1c|~AY3MDnIU-m4a
z4WMTRc#pgy*I5SH(Iw4*^sj5bOC8z?t|(S&7)8_kWiXjUL;3mgc^kgoSxLurV0)66
zYs)o!mHisPwfmLx?%nO|rN-ePYGH<dnU-ES$@O~+#@n&c)zdD8B&Zt`&z_`kppc(O
zv+WElbn2kJWY%h*lve*Qj^!JgoOuq@gH=O0N71h~=<T?prpQZnC`{a|0t)M~^CYZf
zQ~z&Cy_6SkimMMMlZ(#?k}#J?c!FulBYVbgnzb4gP4Bu1|66)C(PMR#yUS=T416KL
z`B3AE#r3~`_OGH|`!)6G#r|P0pPrWa>(S=BL2B;vLVaVF%tm_DW*756TMpgJ(O@9{
zlA%>f7&pgEZ)Tgi?^X%Dd!$8IcTd^#8GGx11lL#S#_emzY~RxT@U2I!M<|{oFBg@I
zTe7&usjmtQ)t7%b1N7qDyON`#8zi@K4g(Bzth!1*ih`Fq_7HrmvKN=)%2GfEMur%W
zS-*#7_it?>4JU4f9w?sxawJjx-j4LP7RHv|!0@d<vDu71?g8Edk@cRCMW}JyaP|7L
z9O;R4gGDg6UXA^o{4O)x3fVIH#<F89z^bRyvJJ0B@U&lkY?XFg8((_$23VSidS771
zi~rG_rEkmidw=EjZltGBdbV5Zn|0EI-Qcr_*Vt(2F|9E45+vQFUvqvzeVv3G9P>QQ
zypJ_OIMkwNuY?G~gP9Yy==t$f5%*|4vI*Y>o;ZX;TmPK25{6IJP^Aqzsy~A{{CX0t
zZhu^E_+!IuAGAA$gBT#MeIDJzIGDu_zY7qedv&Ni_1cJGBy&v#?UdN5AA=a`6yDHW
zig(N}%kA*Sdybk9;&S)~0{Y7~44{t@sNo;JNpoYb8Co8Z%__Q|Ao73o6EIaNVzmh0
zoG%=YAg<T1Z4jt-C`@@T0Pg9{lPTl$62Km9!}-y4Y&ElW`y32L?iifnybnM?v~$ZB
z@$}PrYY|%YtHRB)E0wSRRppEKC~lCCUWqyQ!@TY8#;U+TCVn%dt1jlL{~TZQ%b|DL
z-tEX1Dco^16g7f_j|_`odYOklH6B=j&V8S8kWzebUh5P2#T)h4QH62|jK?k=;Y8CC
z-Qxi^;jJmvk9CaJ;1hlQ(<+|kReoFnNUrLX1E<xVH>kPyw~P-ob7IQWi_EYsjGGhK
zuqZ8d*oO0Wr8fGiTd2wW7zPL5$`_THAd&K0s?GXRLGRSKp|fPy2vXW5i6fp7AP}=)
z;FgL>20TX;X`Bo;!`mV>$wb=RUFMZgTk$hp0ryvAor8wEZ?PoA!P4}m?Sg&XMna@c
zv+#c+K~R$ua~JzNaMPpm=_9Zb%STL88-7LLd;!E!e(UO$pR(NFV?3N(O<lhy2isKd
zx$pXH<(5dGT#H`Zi-<6e?E}5G8y(@sr`h2IPCxkclEClxtjfgvFDX9?31y>>R}D@W
zr|kXBzcb>ABj`Ew$iMY3r7d%ds-|}~gF)oiTpV3AUpizEduLeHPYG2pp4q2HBeR@g
zSR;7&N2Cg@^T^&gPapCw4Z^yi`2(eyT&>NVNn7D3eXr%Sw$MJ=KxaYXo!UB>qA2IY
zx1t=(+n=Ltxk5Yc72uCT;LMO3*jB%#xdp23bnO*9S}a`va-!ZRu&@PyTbX-wc04@T
z*0pEMT-Qq_>}RP>?QxMIajRgoBUE?kd)`W78#qd0t#^6OD${>;FRWPS%2$vuInqj9
zAPfr(PA1y@xJqXCt(tVq8BNu<1Ud71mZDg!poegP_%?xRB(arb);*=pPm#ZAC(Rbh
z`t^(I125H=^@9ZCFh5VgF$p=?W!C!~c7z)~!mz3jh4t7uQ_#Fw7Wh1v?UYzN&<V6x
zDO>W~`Ycz@cDnJdSmMMiUAMP{6}C4za^xKLQ@VTCov<0{HJKd1No<fid-lg<)=m{|
zMrf1^Q=Of+JKvsIFEY{I`{O+w`W<<a22Cq|JJKKE^)p%WKB;|-%-j#a&W3<+A8aGU
z0n~3r5Jy~BSp-wDmT`t}Tl`6ewyvBLd=fP^*SQX{BOjca9w7eu5Po#gw!ne4-95z=
z*%%qk8L!bcJ$v*&S^!l{Xr}Pqiil5KVqsjj1is42T0Xg+9a!)q`{c$knMlKrh?ieJ
zeG2>(ai@TogE%&Z{(*vU`?GKp5_4cP?g*XXdMH`n<Wsm;q?V6%jWalhABkrA9{Qra
zhtEZ4DvzCof8DQ>dwE^}4{WZHxkW<$=^vtJ|6C)M{^$CC`1rDbWb(CuZigmy6@NBw
zeLwfWveXK%j`DPy%p~`h{qj5HvN<n*Mg8@SIG4QK`Kd{;D~IaFWx0z5Kqy3li|=Sh
zXj1Esr`>$c%gxK)W@mw^EML6d;}nGdl@2CwYd2L1?#x&Syi@CoUOV7Zk;ixshit8l
zvuk4Mhr^gS*`=i+05|~jG98S>G_l57HLWeXgMfEVXWJOmyV9K=-jxYChRj0Rc48uc
z9r_(?;u%s7EG+!gdNw-h(Qo+bhZSKy{Qz1h5fz$AkE$^(nR{zm_sn}5>4e8h4@5($
z&_bHoGk$%TefH?5i3@072vAB&b6W4wJqY}ZKME&GutOXkISnPg!dd-2Ole}-;$6Xw
zn35P}=^)akiAccs$T>=&v0?3SM&qof-lQX_$xoi=)Vk9sUp*6755TOF85p|`3Bu-0
z!?{bCEqcmDV@<rNPh)S4DDb}-rB!629QA44jP}1Et3uWLZ6X%y+pwh|xr*tJBU+IG
zgZRhF_|g6@FzM7&(}fsi!4BMG4}{416A(>JLs)@;!BTd2@$>@&X4C!%CD{f38{>If
zed^><qB0-QI>zCO;L-;7?f`+>j?RS{{l1GY5-Q@XyDodV6UV7GC<?IEYxZJpEq8$(
zHCGm7Zk8>)-hjK+s!MR{w5$6^@McMW8wxxl9fHzT4e6hZ*?x}iWsWv>olq4<_5BE1
z^k4XXlo`YPcFS@o#oaNPCywa<b>05gef*LpJtXJK`d&fS!FVxu|IFi?-7`w3AT0<t
z^fl~<F0d!%&Tdx6KTZ8s>(l98YoS&+0y&c&JZAw}5^>$S+r#)2{K^=Tv~p}w^M;tV
zNdKg#jqM-sO+LLXSUnGVx>pc1{Uk#LPfIk2Cz1A5%au%hU$>M-+&U?&6zoSUa0a&J
ze}FvuZDn2L?>_N{5vIY3evj^Yy5NaxA+PIkU2^x=sh)<~im&&SV+&m{d&sn3CC_y2
zN1AdZi!aEJfB0uiEinL%4x^*W_;H&D%ITvDe9)q`DC?k4lM7@RteYZ2`2Zxj`CXSH
z`z?{(d*;M48$n5rR=5FVsG`hP9`4i<3yDK^xA#60lF)ylHBqcw<C{e75vo|nyZ&}p
z=>t^^*35EfZK8x-`ptg`-v2AQ$tem7t<?a`JJXeMQ}FxY%O*n-#tiD0%u{P}jx=g6
zx7|K&^v0B@dv7IIZ;v?AV|SRNpPu}sD=y2BiRSnta{3zIymr)VveHlz-nl#efF^A1
zTFn^g^{98et(S0~3p2nEmEBtbHg_=Yta1|9Ya*R+t;d)9jmkWY8)C<x$Z4!T#!KLS
zIL$+pM<>rmkA&-45i<EBz~9<|wEWI`Q&<kmI$G^!*55AoAeBdVZ9M**%}L$F1C2sB
z=%CdJkD*}v*C(4ZhtG5t8Ewq$<#9Ir#}^49^cDxooNZ*|mfGS&jdj(ydNyROar2!g
zU;JAejo)p>#%833+JbX<Q9Vz6;g|bmt#wgHc=&}3P`PLIZG6;zl3BE*aQx<-t6fa;
zZzPjycbQ6q>Amb?q)H4zKz7<4b<Hs}j~jv<*`O8a*3XTi)r$0&rLh#jjsvp}$ow$P
z)06L!<*i8liM^@f5UvkZ=Dnj?G9e23uD-s_Ml2Gt{r7CFtw$Sz1j|gg*|M8iLxqDR
zDznawCW608kO=qQvy1i3+KtqBTb?rgB7M~B%k+dqAt?W=g>wG)@=H39ZkgQN-NGLh
zT#L)b@lB0^)|}5vU$BziMEy3Escdb1=AY=+JaH4n{SA8yENBu{!>j#VuFN4rp?EAy
z(8!0@g})~^crS$&nOj4gAn;zT(lJoh5w?}exjJ8SI{L}bC_Kg)bPpY+e1@?Qu3tQC
zKFBbrbjiKAX_F5>Dc2})@*MYFDY4Aa#BHHo>HioU)5N>><wENI&JN`jsSrzj%M2z&
z9F|pCN^u;aQ)&xV@@Jtj#|ENutJ~=dS<1>y*LG_re;RGM&3X^!Y9aRh%0T^dko?Jv
zI0TYg`>q0v3Vk_hD}Hd;h`<)-(CF)A@?axuq@F@^I7zCDDk9?19>tQKvDtj}<%Si!
z_FZc)0gxO$xe(%u>4GjUd`2W}w4i(pZwZ*>)T*CIJCpIHnh(8Dw)Mcg84TN15B1-T
z+p<wM!F|YD#=|}Ox@a6B0#r?fB(^1kV-wrFrTVB7-b}y<y-P16RC(dq6`wG21(Je_
z!tRi={^kUP*TEw9hCFB|CaJwfCBS`&MA1+cE0``F>D$03$hP+VY#b=5>!^ZVCij0>
z8Katf&!jop{(g<KT9Tv{azNL}J%J|HA``#DQ8g~2`?gU$E1if-F~D{QysVG0Jj4?w
z838X`_l3NvXOKv#;!}C?6h}xgNxQk$v?GOoq4{K62D>ggB9BI%MULeMUU1>o{#R4A
zce<)0Iea#3AfSN<Qaj0#iF4Jac~lX6KoJLj_Hp7>6x3bm^62@e1ms%)ovp|EF^E9=
zih!NX^cTHT$5|X0Y)e>_?yn^v<@Jp~fuhw%-AAle73J#@7tN__-Q{UH86Ofq1-U;%
z+4_4;w}ECCj$Q_+l2s2z0uPES-lM5p#!+mcts;}#Qh!!%02*<@bc>&+^zLN>4%})-
z@bZAmu~dtIGI-aYf-45+jU;LJJ0U!u3&=a^S*eLlLUTkN{Fk`bm9GsE=O@lg`5SS~
znA?B7ab5D+v+E>djd#N|g~IyDa!wM~Eg8;#{(kL-z!U>sQX~xBjO@!Ik=iL^Wa^83
z*b;IXBhZt3K8ZKHASnA{u}5IMr&UEgv`yZF;=DLLR@3}_sE7j6F}^c_Gx#W6Nh^HI
zf=wionItPBv3%==Nb0TbIbEgpwmT*BLv6DZj7f@<ZU6;w*(GYfYKL>yepV`B#m4eW
z$^=6=?jmof4LY`a(Yjddh8eHTo}USzdp7eeCZ;XtBsX^18pQEEUg+mBCn_E+7EsL)
z3FPiVa&s;9mphgtPD;iD?;N-I3sX7*>5eQh`m%Gf=6<(9h)dYfK8>G$@LAto5l-6j
zsS_)EkgrSL`NYER8Y+|DY8d>r$&m5?N*4d=V=j?xmF-jEBGOZz`REdmyz-7SpE8;F
zbC%8AuL<h97u+mHFGd7j6I~~N^o(fvB;!1-b%3YY4UI{C$??>6?;}_3Q(S(lztLd_
zDNlon#}w_u)H2qR@%)?trmq^&R{lb4FWxscsry_`+xLjlOfx;EsGOo<gc$jwo*JK`
zN9t13>m5B<`aE=9IbL#qv`E8ihi08h5^oyH`#*jh@?add`(Y^N!b`9a*%_(UeKfCr
z5dM(9{<J3&P<s?7r;;aGhNv)FUA$QOQG-RS3!}#_#OFO*$@xBNHwSt2!QyS^13WO(
z+vb>zz?bfL2`Y<)aG8vd-~~rKEERk_0DNBh+*SI9>9m1IOisLV`4*NTPi|bx_E&5m
zR)$R6ZMSa00qv#{b(Pxs?=k=QDy=H#T7^#Fj$IJ*=ri@G*iS_I4?_6pgTK1Bi(fjo
zzl-4{diL@o$+sh~vz$1!%Ma=q;1epPj_XWf;gplPNe0JlxexSeaocEJ!<f|bQ5hJ!
zeffC9yeF-23~#7qpI_c7^hGAfeV6inhXCD|qe=$#S6ugYe#yz@*lYO=#@=ZP*WX6g
z+RMQgggRr0OG~gVc0QIjIS-;D0d}UkZU#fi*qqyKb2(>}Xj*MlR{t-p2n#OG9?COu
z==?pFEg0%T6YT<|LYLLg^O}7a)NPzdyQdZ)R(~XRc#-;O=)(M9-;Z5^?tb_w|6sNC
z<ilHlO9mi%{=)6@YzPf#ETtYrG5Dm<16D7nq_|z1J&S&ga_Rm*+LHf$Lmz!7vgJqt
zIqE+A=5mMhgnIB3Y4d=&Qe&<El0Yvhi<ag0lCP-^&nJi}h^0UNq7YgAN;Pc#LZG)n
zDFb}OFn-M!Mve)FHqk?Cv^FF)giWW45r8&qx!)Ov%G|TGaQa;>V4k6Thl8j#+95O7
zWWPA<6XwD{)*eF*w*mfsf6FBPQe{`O_u%+!E7fth3;D%scsA9@WCu;PFjF>g`@8u3
z%&8Ns?Q-hrIWzl<?nNsT<({M8L5ht$aGHqJs9&wqMXRy%G3tf1A$Q>D<9wtMDER$C
zzi^4teEG9cGn~nCl7QN_+;rR91A0#EWOMHICR;KSad;I$@Hi!e!CR!(EKbItWaI>b
zoH}2K=6#%B5Aa4%H_laC!QvCyu9~ZM6n^Aoi!L1ZQdhax(;JCFI!njV-we56+&-y)
zIs?a;nt{C#>ewPRm9ff`974l*Bjnd?r5R9SGhQ>`Cv#XP*qvn9>}#b@ZG^fT4TX`7
z3q3}?0z8xMxmnhF*pwOivA`CZd<i&nd~ME!U^%GA6+BZ7tTRhx$V6%Aj*-me82?Gq
zfBuz4Z)_D_T#G=a|9W@H{C1J;U2ef+E;FE<<Gj|pm)et5!fwsp$;Y5CAJ7~d69FN7
zA;+mZ>gNxs&~HaC;Vzu;u!j(b5`-`dKaS@BeVpol&`7QGF~GErCTuEn%Z_Wlfv`bW
zY#<hp{)n~gq;64iU|v{gIwB8^vWnEfRa=i`m-}xH0PD7;4XV-R>oXO;o(4@Gve8b8
zaAo%NiNvRG<EY_7C-}<fbhqLPpsfe$^A+RV?adF{V|liN+`g)(4*Tl}I^K+CLARk8
ztyVooBPP!fph5k&iO}Dqdu`-2gsUn|`F&|i>hUe=3~*#~>r9#_aa+fvO3L;V6{f+;
zOO4)y{Z@SFL8j-jcXNqhBcjvtXBfkY+qAHAE5cg~ol$_)3Pd)lPylwF;9A$>3p3rg
z4m(rCSOH8BHj)G5ce>7=gKhdQOl-BeZ^|dzENxP%3q@^#ECwm2{&7-bXv&%TQ0lU+
zcXUG2QOGI7^YxK=VYhLzT_eHPvEdSd5)$wMgbun6JG)?+(M$F>V>)+Cha2m55d=#Q
zGR|HHCHtsjFvqT49-R|tU>9TdSm-uE$oGSCqKHun6Tx2Gb-69C*$$E%?=C#$uF-D|
zJo}bffJEU54!i+nph)1=g8!5BHjyoFN}TqQ`KrMU#T@ewEoq~j)bsw0vVJC^>CvB_
z{0(~YSprNoe_wRt`)$o*Z7-a*-nzfctNGZ5xBFY*G%O7b&tN*b%hmD0>S%8cT>=qe
z&80Lt03w<{7)vc{m?Kl0-mzheQzy;a<@lxHnbM$k&pJ?(NqanevE)N_T1p?SrjxB9
zj?l7<3yRkrU2Z*apC=JDS5VsJ1fs%(^j24!G>6+f-cM8`b5Y~RzG&N75ygA;3kE?(
zF>76K0&;7agwn7X(J;7jrnc#}?6+~x12AKK6C%Uf$_<k+S1%PmEBqqQZn6!9(lrS&
ze}WP}YB;g_TNCc<83Hd0gfMnapPy$Z`&<wO>HEw+^7jcjhc4sC#aNs}pL#Aj^Qxzd
zoz0Esh06R#oag_fd?k`eV*xhOnWlJq<#mp&KgYi-%5b2zX6xRBv+xc5kwDhi(by;C
zpMHI0azga6fep3agocl{-!4@ZCD$0WV#9T>)t&-ku=o}@fb<-5m;ut3)+!S>$}RNj
zzsIFDRh-6@H!*$6U$BQqu&jF?j-mTM{<<+vT?DA9qlNdk?Z+i5+Xp%8*(=xM<XJfO
z;^t>E;_1PnXbllsD3Y_T{D=k}R>rIO9$3TBhzYB)6-C?rs@)^8JOF`DIootpQ2l-m
z1sVcuk!~&crP&!cC3=1#>SQD`D-Z@2-9FidC$RI@#d@zcTR68e+6WsxOvk(IV4da3
zVEAQeQ#P%c;+lu!ge5@r45l|-IcE)zOs;w#Rem6|MeUbL6O^Add(czY)heW{|K{VM
zB-xd+K6VpblyCg|cBcHQ?0JeFBv1u0IdnPaw96*n{9e%eK5(0pdd*WP%x=))g4Z;~
zyIN(seyzbA)|_PosSN+b#v%RUJhbuKem~&qmg0Fq$VIl-wciu#kI^PYtcua2QQ>D8
z;W8RH2wmvUo%Ob+vutUyE&c>4n7`zcx4EWcl%9dPg|_9aEf;jh47b&#%|j}{zBWE~
zuo``hT;2J?>_dTkZcj@9J-8m3`$?&jcA@y;Py!uvHhOv4C<?X!(Mi)&y%C#-E!!Y(
zU;4xAw;EnAg)&EuO$r$r%vU@qYo_eg|I?`Rd}wzS4b!baJ93MNGZxI<X7KCPpDRQN
zGe#0Bng4Uq{=>%~oY%*ye095gGOS3~P2?nuSs<*jHytydT0x4}5He~bXlX@4aIdrc
z5SJTD7eD`s7y)mP#eUpV<a#hZVgBVk9e$k_d@%wZPWL?YhCXB*s|Zs-OU*gB=#PbO
zs(@HS6S)CCQ<^Mt&MAr!HKZ;n|BRIByrJY2FG-|L<Ojj#CYN{E-XAyxu@r1BvCP)D
z=`j{=*U47vu>j_C9P+87wL4eiN>WzWV*C$MWKXhVt9>XdN3!(I=08%7Dp<(#)k{Rc
z=7rEofU5GLfx;(Eb&j<z`(gXjTGOEgHT90Sz8C=l_P;zlup|5wI@M9OR;7}~lk1tj
z1Qs=##_04cFDFp2fKT}H`QQJic+FB<Ut*X?w`()x3Fu8gwil%vi@Nv$48VO3HhR(b
z@IN8A|JQ+!KKz^#zO^V;2fRPS4G#R)5sTsQ++rFh0vd|bPPeCjZ1<FW?jcBtc=pfd
zYceZTnHRs;HS^TcVN;(ppcES-YER<7dD(7)#dd!O0ihpfB?$(tUx>Gv$fgxnMLuAX
zn*_u+t8-9+3$-fiYPWOOV+2&cGaCxp1)s`~1U~o<8k+>A7@*!qz(EH;I+YGU06+OO
zcPj(<7BjjX7$W}8Mtw3cgT9Ah!85OvF8R1#IX3>}tTz5kug;V+FD@sW=i!|$3y0ZC
z|5~OHoH-ngX6b8MH?Rew8E@v2HSHVuqDQA<KODao#lH-&5}#GSOKN_Q%cn%yd|!b9
zi9NNFa(!dSA=hk@0iDGeANlAW$}n7xPC4U=ulhDNF}-sgOXH_bT;HT6qNyyCy?MJY
z%R*r7CW(|Jb6bHXZye8GIPQ|*|7L%9I-%~#L_dW~Qet0_bLHMs-njd;CxMvnj9Y4v
z4nGluRZmA1GEbKS@$GgaP2X%hYa|=>XL7-1;i$AGQPm0HLtyfjdRaCo&e@AGezW;F
zMQ7x4i>kO`md)f|46~j8-bWxp30_?2G4q=J;F3C^cqdqEOy@N7Y3@4Yl<?|pnq#sv
zT=c$pDa*R0Jj<3k?=!HkuKL;fB3sm~7}H$Ii&Z_?CvNfI{W=iiJ7?T0D7;xrIh5=V
z(~t=J3Kj?u{-S|)a1ll8%rp?w+Kg028E`RBw;K-Rk6=!hq5(*~JZZ2O&W`-m_s0B8
zoc8f!&R6u$uU`>K+X<A8+_avvxNu{8bnv-kIt2b=$CV2>bHX1IKg03*JhqRS@KtxM
zuV<nLt)8X`*o?y_-IE-Nam-I^E!~`+lu4Ij)OC@WK8V6JKP99G1$AU-^VA2uAiZgz
zrn};7nFBeKeU$`vcArNAa2qfC$zr`;WBOaPhgbmnB$hGwG&8KZ#A2jsvMphEy6xf4
zvgI75?X3OhyizT5U{NFUEM!dK#(ePIq9!wclftvklX5%Ea@%tIFHNy(0xYbZX*Go|
zZys{@!Hd&@L;WM?ZIa@Yj1UyfD1ySlX5v8GS*c~QfqoNdxBoGQ9cJV?Cn#(+oTjYY
z{PxM!!<9CC%lxMJ4)ybu-%n##bVrO5(SpYc8X|@92gPAGb0Y4Di4bD7T~69F6@8iy
zz`hr@b-l&&0w*gO>>b(bZoXc70$7@Z5=f9PGls51j&dI-O98bR2HR7`AAY@E3ud&T
zeCfDNse#Ww_OSTDy;J7a_9>x!7|@MedX(-@n!3h?fIdd|FTXVvZvX8ebcY1xQ`VY+
z-y#j;c?zY|T*FVb750cRKq>Db6TYwY3ksdKP&xN?H09C`&8lBCr_Yyo{RV)59s|`2
zEH_WFY^x@yDUcbJ<UQdX@>lCK)-xEv`pGur2<>=Xj`~frWp`d<zvE3ab@T?5-uA}m
zp3iCZwz}W%pfyf-K;wM`=~XXRhIBns^kM1?c1F_uCRWFAI08g^rX~r2Cq1ZIVhS*v
zc6oC{YR#Nfs^caBsE{QZ7TYfY*jIK@lMb?r^u+FXs&rC)mFSkeGuef=ULW_MLE_I~
zxPx@U(&nVx(ozcM`}<+R{<pxJyLRMh-lUdHNn-*_CWG;Ady3kAEO@~_DOiyiq<VDm
zr|Mx%;{|z8rsJ>tB7mBG^Y;TM%R5%Jyf=s1(0)aJ9h30zkA3>@hCa3#ZRj(3MBF=j
zzWCC;YEFo1+R&Q+0zcf7S(#aIf0HVAT(&b_QIZdqrP5Z|9=c^7acQGR@3nie)Ebi(
zdrYTe!9FG1WEJ7&<XG-lVw>OCrzyk^f^va(bAH0c+Wd#L#q&Mon*_b*d+)DDQJMQ`
z;?IEUjmKv*#=>ZiFEyVWI~=O8U-e%pgmQ9Q{Vq@(edt01Z0|=^xWAZ;D=NDNl3Q?o
zkGi+3p$gh-ToCshNO$TWS(5T><NNo~`w!{-e=5(<U!@P^T*uw??&xyT-Ultw)-!**
zYbYDA6zEkYks+`$Auh0zvPwhvMP`Y#KDi_3tVUj`uce2EHJ>Uh29gn7(_fRyi6}SS
zjLR&-MAvN4aaw`TinJTm(|q>km;}ULRBE!0zVwmT)=2(G8C@(Mm<)^K+quo(`6zI-
z_m<82$@2RSR10y(X(oebXA*tC-kz9ZV-%erTszmgWw0%{m7dp41I<cZ?Iy^xbdDs=
zx)E#XBwH%zaQX-8Vc+O?_<hM!t*4xx!wT?+_c0XN*Xv!Hai$yK#wFviP}tIbs0lHk
zuxWO~u!H#tE8%*Y=&Y9dqr(b@;fjR)CgFw3-}jGbc|*rzJ!EmWaj#2gx{sz@M8~-G
z^W8C({;GAIBT)MDNsj@BSJ5GahN+PZ<~@_%cah6iePk8EUp(dCX{$<h4r+hbCD-9d
zKuVAAL5OdAB$L`TzWJXc{*M779ZfPRCy*b$<3PW3Gi~SDfu<BO6PF@nR-61s%($GV
z5dxy69p^+SQoqFh`b*F06<V-6Y4CpNOwpbx;>f7LwIUI9&BZ}Ju=W_R%-x7=s=(*p
zW*AKO*(>x6Un$TO)Chn}p;K45-L&TUDPk{V=|3+_5&SRs`ZRCbA8H)f(w_vquFD}A
zpU*?X^RtwqTdf@2YlVtDrW7j5Jt8WJG|<MBEXYy@{qDWK=(9ehtz}7fgt}nkxY>?z
z^DuYK-H|9DZKX~tUf7q`!#a&b(e3Cq_G9UOa`r^^=qo1S)1{*{0~=rs=7Tsxl}0M3
zaKMmfqT!D({)%-{J2O7D<<ks>mDrLZS=Z)+X4Gz{yntwGKX74EZ71vVHz;e+@it*F
zm-plnXCH%HZXDUNnCrz1!JO73@xH4;G!7hjOlHGQU~e39$q~9JFNKI9tqmviLRUfo
zJ}Z$Fu>L^Gw`B905RAS_h$r=8?Ku&{Ey^b(V{$i{Ij*k|zUUU)wWWs#Cz*JR{Ge+A
zufh|B!OqY&E|xyXr^{&a^ML2Fsw`WnPBt;?F>d?`52gbtce`;3y2i=Pr{l`op??bc
zgwq=ZB2(OeCZ~rzAFAgQ(+cfFty7fiiUWeRv6+dLCFC9nF85Lo0@7*-rE%Gx?Qcew
z#uW1&rONA;vLE&UwRG_223A@dN7$VY=^k^}O23OEj24UxOoU6kWRwRsJMRN7+(7CY
ze!{Y3TL<Bi%5lPp)=jU@CtDd74}IskO?Ycv8nYNAtjp>^w>U5{qBA@PQc1Hk`<B3f
z2sHs*gufygvNn#Oh8B68<6yFhYLYX0*fY8+)8_jt#4=-f?!u^N{J8j^@%y#BudSwR
z4XO~nBQX<O_w65RBo6(ImhxNfV@r3dm?l<jyj9Dm>Q)Ia9}3ISqa5YPYB_rItto(w
zg=K|Q7E%TeSHH+w%<n3@8E{p2JAtC0)_Qp3+WbwUN1mqF?}bdcfX|N2`C4m6bmpc=
z$0Ns?elrp>uFQ%V1A3Mp4X=*&<9rn%sxj>aUi0|nvRiuwXon~+NLGNSKUk?YV!@91
z#&7xkmor<QgN<1)-6mY!LtY;3nZHxpv0#sVH27_{-{sD9Y_%ivgY6UsvAysi{;fsw
zZ(2U-d^Qt7A#jlc`Oit!h21h?{YjHfe7eJJXX9xNoZ#MJO)$UNVnLk}nxdZ!1};Am
zI%pW$6}wRDVOV~NbcxY06>9<3M78mr0w?bCZ`EN=ng_x<0$UHu#G_zqAfscl^^w^b
zG*kYvYA%zHdVBJSJ;3s$xT$(Z8)tl56?Zr-?&#4p{P<^j1T0d2Klm6#LWNdLIs4sj
zOHxk*8%*yR_CLR7kYG{mb-ebIp#S*0ywte4`|S^|(mei@<wu!^JY_0CDX{z#XW7HQ
zLlf_5(SR!?iGN=(ZSohKdj;9)1z~p{yHOZX@3dYpE!n<>oSix8qTTloc;@o+<+Oar
zH*U8P{{_t6QC<*~UoI=}-w<Y7!-P_;Dm8TD<n5d2%hS?T7{n?8+YRev{%e(NZHyg_
z5h0}RA%~dUavIWmFwOS~;#wIwChSjbXQy&mklJ5aa>Gy^=fQ`Vsc^r|B3__`U#5Bl
z9bs2ikanToI24-=0TQNPW&5CJkE)~vyWf9u*^c;56qX)V><ue)sj7(|H#Z)eEm_Hk
z(?j`9ssyNF8a=<B0mbwm2|FCJx&n-K9_T2-?k}05fzj4a5Cv82!U0w==Lx3@#}jpj
z=Bb#nC~I2>Fsz1tr1ZB(V^vRP<GyE)!?MK8&_CRapCs^V2L>|z1L>)%Po&Pjsza-}
z=#q=Y>A{%edI{|5L|MZmNnPx*f$v!K(jD}1xi`sq`^ot#*~qwB3&q*jXIE{(nXU`c
z42h<H;aP2#^D&t91nq5#TYBpZgk5HCWGCD)n&O3V6cS*df0+Le$hqeX1j6;8XIlLW
z_dCPulbv|4qvrxf1#CzNuR#iW$C*JCG)Ct*$nHs}WhjJ+ipi%T?JRQ=Z@%drTOUIk
zDbSPh!Z%Z})-cQ6m-F33fFfP-F#cD-g0QeqnTM?ML3rz@`BQMyc}n7OAP33)m?j{$
zH^4wWO~kpeZf?P>y4)X$==M~RWUPss6>jEGb49AoZ8m|}FF%iWOdHTccW0!GbRJO8
z@9%2Q)-bf9kZ9p8((sZf2Cy#D-b(c0VWG#n%jtL4gZ@r?QD`LtWnbI+VwcP&Cn%xY
zdBSO@fzvnUo4u{Ct@U^gl5w$xXyk_RZC$7vU8q~kDWsF&k$vh?$Z#NLJmK6>F!q*F
zFE&_lH5H<fV(M)QO+3Q8Ah$D+M~$}$nu6-%M~qpwuRL%|AXk|A$yqq1I5%BacgAlu
zNL+lH9<LGS&~7B0Ge&PW9&a~m%5>d29hQ<R>T0Qqo>$yf2qrY4e4hb$)JW&~tQpzE
zXQ7#)k|8-nA>$VK39&4%6pi`pje?85#^P6{-GT!PfR#@-T+bIz7FuNm1j|)!a5(js
zJD|t1x@H*K6ou~5*)W(*8TAj=U<ynJ;o;<kdV2FBCiP~t`NOD$ni-q&{<&Qq`{lr!
zR8V9!9%R&HsvYhSwGCJ1KHFMuGrE_Ovpc$JHCd6j36w&7N<K;v!fC4(ZdSsV0f$YO
zQNBmKJO*Q?>7xPP{C%yw&>RmZm;ogg-Y2*3FI)Zo>?`R&B8c(!8Ox^dgr06lf~L!t
zs`=6P^=!48#Y#+i=gI6_7o-eo?GRuaHTyRw0j(crU^vrNEGMLtLda$I-awsw!*iR9
zZ+V-ypYWMww%%XNCdAB_)HE;-#oMbE_48rzk^@M|v^5Ps_tb`~c64F8Jl8_@kTA>h
zzg+o3woI4+YSY`tT)DSR`=m%FHd4lwUt8-Q`E4PkqsgmD;%RN%hY&KB4nYo@n+vi6
z!e$^@R|?8N@<%m91TDHnD&CfrK!#iI-*F(06<WmE_qCt%O<fD3T-ASCxVfh;^7~@}
zMH%BjnH1j!JwHh2kWF~0CX(1UV<0}9i6dixy9Io@x2f(}7l0yVcIirpEGsqHr`6Bn
z0XfXAo-OL2+q6NIhLb^y*>YVJx>A37!~@Pw1F?ophnB49BKDPMLC6ZyR}Ei0({O0@
z7T<lc2nImFheb8+&W>E?DVgY_dSp;gPgy#w4t$(2Q%^ay_;Po;zvJsMDP4UsE+nte
z0BcUD(H7b4rl-a|786f@{t3USjv3&0#IEaC@~*wYI+ZTC4r^I@RJ)rhNaKz~d=TgN
zQ|mgnbJPXr{CN+Ri8)hy7<}BJK_hMM@Q&&Fb9|4oa(!&TJ<te^jzb&jTaae`V{AyD
zfg>W$2$?d=PG@6w;n{YwR7Y6U^f$GxKed&a$aK;Y!OI9Xb383P%8RMx>RU}=PnPA<
z1$R))G0aN{c&<k~rh$J`$itaRbc30$9ED31-yqq|oD22=1_lc$kNGVHEJ(vh3|Q)O
z9qT0y18wv;Hrzd#q48ypcRPG|W~Mo^MLkjmOj&Myeyt?^Rq7speFn<K0JPvGx3Z+@
zGGt0J{5zov2xKGy(HUJZ02fmtJKNP1NN2tumc?=m!{ejD+1P$ga76;KuW|p@d3jRB
z5CA_Pn|wlz@t^)lYAgvagcvV4p!RB0cMctxgN0gKPpH>3mu-qkpaJI*+ztdDq*if6
z&u-@B%*(xLx>ZfDKebSGFzR6Det`Gfnv70uJ+%6}0c>2$TEAkm_dRr>#iCj~??LLe
zDgkVfTM~Q!GuVP_XvWZYXo65}jYs&5fEP&AmyeJU7q?kR2E2UCpoN8e=ba43Cu{Jz
z>Us!DPxzWuWW~hYt7VwGve%m?(%5Ae-@f9=Q&7VeWrU~pGATw6xKSs1)Joj``z_3W
z)*0|#^^-HdrC9FY&SZ{FH@;xtdxYXlI47dZ)#aucUlSX~J<b$!4I)nHb|Gb~$Rg>L
zc;Z4JAW9~tFU*M=NR?lrj^;V>e)09%Wq{2Cnma*j=TJNr+}j`&Q%3+#{$s=R|JU{Y
z%D+Ol`nlaaRpN{+nHa;!ZkvP~8nqdGgwW@b51k#9{-!0m6ud^!vk@)2H4C)FDEwjA
z^ix*U&ok~NJyXW0bHs9<ec)IL9e;xrDSeJ<tR4xtVWJMr(7(~<`U;=oNHDn1`2N`v
z)^38EcE;UKP2Ofb{Ru&8i+CP)(eNf7Gpf-4sZP3fr9N-Ribz(VUa4u)gi(rFjD&!o
z%jZ2m+?zA?VdVze*{4Tamt`)2nr?i)r@G<@MlU37ZCPTs%%-=0ODQ0H_QB?9mdrI&
zWr>F;u}*f)ImXt13EA&g7axVXO8-zN>20C&`RiDm0RN_kfXDmdm2QK?@TIMHmhlPm
z00JZo=@Vf?vg<{>zEV^AYlZdux2@P9FFbqQb7Q8D$JeRq_f`6=7X0XkK<OjfA8wxy
znx2xsP+$2g8_dR%A4d<fT?g0rd*(?MX&G+#CGkQonuiZE33!3B>}>T1)ccq_pXaIG
zwJ(;|FC!yr(kPNW&T*;(GY+_X`(P`AKq?~p9IP+IJ+XA+dAXZk9((M-?k;-Ot8m8l
zBfD|@=0!x3tS3Z~h-EIwch@L|1`<<IGoa>r2KCqb^y{s>^jE%nA@m-zZ+06<KJTr9
z-z==AoY~mc%MMO3KJ_!2#-|hbahy4LDj~5QH?N<}&ra-qN6x@5`~;6+FONEFbxr^^
z5W`MifZ;lngeeQCegKA>F&IE?r;18*{qJ9OBIQpqm<fQww?A~*R#mI&{o!d1e#NsC
z`tHqRS=X~x$C~?}Ba?p-c8O*@H%Nni_w?$GJ8}JrIbG3ID$i0A#jhg}ic9Zw%Cpi%
zxTy}iaeZu=CE}*431Uyk3rMde1I@sHfB-KUTJ<eZQvGU?w@m;NyN}r8$M4&Nr%OI`
zO%>}NJvaN?)?Vp!C!;@oThLM1-;Ht(U|b%56^_tnZ5G#D_OR+d{QY2$F{KzL`O|{<
zF41*}kq2Rk=ZPAZE|Zq>I17McS8D}4epxu8G*L4YdwS=9!F}U>S1oAfklWrx`bQp-
z?92KoIU4`YRtS0*Gh<a%d=CBRm}xe4dobVg9Mh*3-}R7F2d=GIA#m$zF9LxI+N<U|
zAQn(G%I&o+rw~i56D#*eVI%uZTuy|+llm?<MHvAaP1d{Dh~p{Ao!?DR$Uk9hw#n^C
znT4Hp<G+<!)9@TsGl}=H@lJ)v?Iz5^9HIW<ylt2@__#Agh;%K{M)EA0AWd76+T7PH
zI0)M*I+@ON7`B8#O`(S;&}AeZm5Fb>AZYf{YjG>@T`k!DA!>TQBI`QWb)h8^8}=cG
zf@;)#ma#j3fya$idaMrdZL29qjg{!x4<c$F!-n-dGhxBc(Xz}GWhcyu)FhvL_Q0>s
zD4`oz!x}Rq!!lYlzvVF3FnXeeH*{8Uk@YrF5%Z4|tEDD)wg5MzJX4m>*%5G84xv(b
zArRFg-fcOKUOlNNFmWFM!PqnAqMu6KSG~wIL|Ov*Orli%2|Q);q(|dl4ZO}RnmA$8
z(?y&AhOV39%H@7JUf&ZZOIy&3cO$<Obm_s(_BIw-d<q_t34Q=Z#APn#iEq1$zI(;^
zF8I@6YR5@wDGZnIf8H0i@XECgKMa1X5fU(iKrIm5a>5D1jfi85(U_}}XbLi<4GdEK
zGHTbeJ=1g?JoBHuRP5r}-CnKX$!^>`A`xVKnMC}}x?nYee+wtqz4+Sir_Izwrp8zl
zirpUYEr9B?p^mg}8JT1)9?x?DCbi&7y_e_PqvtCxy){rFe%Q3HPQ|A7Lj2ra3h9Px
ztU7!=PksW;Kw1qZz4ybRw$%xSi?&xCWHDVIA(WhyY|s1hGlP_gSd4#Dc8PPXKsIhV
zEA9Jvq=dhu`bxMf&wiLzx5BUvY)``c!n72>I?x^#;wydhXEN#cg4}8?khbgit-<8#
zfUdBIzTrmqiQN=`G!%)f6C7Dm!$G3>4z%uFHdkP$zaW0!28_s2?8?s!xFlWU{C)S|
z{C<UB{|AI<<D^76Csej%jk*<ksBGLa&d5!jeBrbh9K3zvJ#D=FxJc%s69r)pfK5uk
zZRg#wT<bZ2LpJQDgknRQdT}Lw!5d-}MzEJ0rIB0Id}QePeGK{aQ&=0}fpT3_Wb@}@
zwo~4QcT3`fK9jtUvr=1AY=Dfw8jjb){x0nX5pVmvns{;JYOjJ3W$(AGK(FT?HimhY
z*-R4)(hPRaH?w_834yioH?Y35{CJZDBJ6ruDxNW=?qSuNe0BFyYnFb8cppb`LY5MW
zb&$OH;mzpYq;7M0MZ1?&-%&5&pV3E9i+m#wrLTKpFeP=iSNpINa0d}8rzBK!!isCR
zUJ}^kYnHOzt@kSL&y&QL3iD&9IT6L;KBqft{^v`cq8*LxnCE;RS2*u~t_wc<m@R5>
zfh0X|lBVymA8RttYBv9D(6oB<pIx^51_mez&^-q-RRZWjLC&ahBD$ScEi#u}q=aW4
z6(f#$WfMxC{~I>di@#~$y7ffYu*K_`g4plYlmL&oUh<8jri)l*o!P~mpD3CwlMqlO
zd?bmF*?$<Zi-vw_9pA2mAPw~O!=RT_<z-ZP@U0gWS4_-5?p(LGw-3)v;r6rg@MJgI
zNc7?`KMr57QYdp5lw{xyRDLpM_)z!@2l*#ywXZK1{QrDmQ0Wp`QzufE!^sbX&=+Yy
zH|Hx`RD7M$#?RpP!Bwr50Qdg*wS)R49O&^3>-hbiXUxyeTW#6{Z|Xh?@bXZD3@g)=
zV=<hy%ooZT`69-R{tt%}+VDfc_|zZ9$ka{E;rc#CKe}6U@um$|!-(IJUJtb{lRag%
zhZyOR?fM+p@fiX>f3q&5_6!kv_ELnT1+|sBZP$EIXLONNhK+s~F6$XXUhpOJ#G8KH
zcN^b7m+5=CxYj>aY!%)cvQ&AiuO`vAbqS1}Av31q%kCQLxqnh}w3Rv3CpI?%7nzx3
z`*4<AQi<*E?p`C9I(gPRIXro;8D?^&GV_ykDRF@{4|Bl2<$H0>x`+y%4d#^MDf(=B
z;=5AUIk-}V9haF^RaGBXzW>Af<~c=ImyNRs&jjC-uWl@v@g*_%ee01k&#j2$E(6Eb
zgU63yZtR_W(j>iDdZtV%=pVu+k-}EtUBNq!Nhk<13yHMvX&ijCew-K#vVvy4dtn@a
z+B}Iz{gbYCm-K1_Rf*3jM+MoOs4DTaG|KVTbgmbxPE&Tey+DL0_7#XPF0V`5StGW9
zPzqMW5JZuJhjE8dW&QC3oT}mL&Uy#IUJczg&a>N4)*0uNGWi0{t;@O`79hzK=9L9k
z>B4D(hNoU#fWDP`*>{lICFQt#h~T}D24k5N>igb_Z3G4!?({FKT|8P6IopqouG882
zKBC|Q%}q77sctuG)EmM8A1|a#BK<&z1wW$}w|-Np+xhP1LU6w0If|LX+b7E6>}rU&
zZ-1d9&k0k~u6pn)DezHU0QPc_Sm+c}oR8gJ$QV)0lrq}7I7#N~iSd~Q!j?0{2?C!;
z!z%MW<_<8KcZN=v5XsfD#IIkBKlY+h=&L3c>8fM~^ET;D-%t)k5R5pO;|2uA=BHEQ
zj1p|;XCgjFimU}a?0-8#kjZQr9bH^B{4R&THTR*of>5mnGs*-Lbe<+=M`s(}4!@mK
z$$zI;?~raxM?1ZbKa1Q)px$)uO+}&@W$qjt9Nc4~wzh^~FqdcgE$#U>#y>Y63IOed
z3sfVO^(JaFre<1#Z>f$Hr?+&M`uUc<R=!CWyEWgxNn7K@m#NE`pD?1_WmsvnmmK+V
zplqHDRyH>+=3;FWX^_ff7F%2sGazW2vK3lZ_-s7yEuYqRy{uVdJ1zyXh1#g7($~%J
z-RvLSiR?n2jT;<<oMwHmDL0Gp%6hM*IbRlD942$WZ(`V5LG58s*gun}nTYk+SGqRB
zY)JP}QGOO(kW90&UA<7O4{bFvhp~2*Hp<SH5-GlphvBiX#&Y1Pdk;`=Z}m`X8z)b?
z^VH=v<+d#fSXvUY1f=1@@0aKqKbUL?M-Jn@B~movFQW0ie^;^cmE&}KFJ_Xt1B8^W
zBknpL?-OcuD<Ezh;sM^lZ=Io0y5%T<{d~=0APu$M_hayJIMC3k{U#0k`N%jT(uH!&
z=1NaK`Hnc@^&EjRPHRb-=G*$dnJs&7_?2m{#l@Mud~>V5&UWs#_ct%oB;wV&W<)<H
zz-`gF$KQd_;9R`c)I5>AE>pkqf!Qkm38)J;_x<3XpZ_0Y{~6X)`hAbXV?jj}L{t<+
zY=}~o-h<La1XNTyktWhhXrV<^1gQ#2q((tNrGz4(1c*|lMr!Dhme2zPNJ85GFwXC}
zo)_QG4Day5kaO;`%i3$NO~<_(dmYJ44CY(ScVIPum1WpLYmC<Tpe8V565ihEd0HZG
zepN}~{B9p?DguDvVvLn0w8<4;5GQNMu>3-lShQx)^BNeTD}x?An&hC`8TUl2`@s%h
z#sEMTti%>y>xA+7&e>tORC(VSEAF~`Ki6c{v~F-%1@`L|Az9K=VPe=7$($JvCXL-a
zCaU(}w(Ya%d*>b=O&Huv#Gn)2{B?-F0<;z`5J|H<uu3Xmkkq7~Ap*{2F0@xX@<UCZ
zk$;6{5AtKxE3^*?F{r;cF=@t`R&FkCzNC7MFm^gn9*>z}#TG7i-P@ss+Q$(-Fff2~
z_+WH<Qpan~NVz);CJNOb(x%SLe><F&LAbBxJ>p)GQL%&?xn!r@qSMI7375HXaB8`S
zFJ6RlgJc-eJR?JqESYMv2P=O^(D*YEaYPy&XJRagDo3e{hB+!K&)g-<8t<LXoXyL2
z0tdC`<Tob>5_N2CGbdm(HZ+XrTGJ~&(GxQ!Q(gS<ns%$Ity(rP-EsD~4?=-t42i4*
z%ELSGW}2Y$N3<b5IZ{pLwnSx9BmU~=XTSJ%kK|OK4##85fb7Dn`D5gnYNg|4P^pqA
z!}@a|E0b#`$-$L8`c+<FMi)eV2H`ABU!jmMr<krX4nZWUFU{N#AWN?$%##_AB2(M9
zYhTC6u&p_#V>7Z?<5w$APRdPtTV7r~OZjlUE4z-IL6S(5@%zfJjU%zz&3ct9ctNnV
zSH)h`V%s6&rvwJ}T;%D}$1`p3OcbYUekklLM_o4oT(lJL!*{%)4%+ADZiI;))9-b7
zufzPbz@Y811d<eBGE24d=Fc}5Ol+U?D_0s1@4IAl{|#@6h}{81-l_l@NB?cKC>U9K
z{xDUP{DMY|@RSktEqdDl_o*wgN?j}1AhSt%%;41_C)QVlduT#BN6C-w$h|M1<m&$X
z1R6mRQ{~Y1_RA{_DW5K_6{nr@0|_@SD@~~y0WsLK-Pti0bYpK0I)e-Y1;$PM)<Hmx
z61$aS0QbO0n(Q;#!PWuUdhxX*N4iHrpAe|`LNR|OdOhA{)Ap{JX=HFty)VhXymJ@y
z^P^=;0FTLmjxa^VZylI|hv)4M=kDmKsSFwNavtjm6lIhkWVj)+4WIIr0kOf_%QMyj
zk(e}Mra^ri4NNAoE0rP96!vO@K_j~(vCLUh1s5iF*|uf~kjxMH0mm?ACV?IUS+d%O
z2o+}E{hSEqAc$oe4C#a^Y*u+!_TiJ8gJ)sDlt;?s0uoc_1WL8>1;{)*!5S3gc8R8v
zx!Bca84|Z5zb%$$U%oWG|GKr!UOk$f>q3b2X<@I(g9IQ-uZ~H7WE5dO(;~fxB9YCw
zGjNi=u9V*QYUJ?7Sa}|!ga<~Eh@|m#ehKVqvL%247p{)L?BP}`4s1BASRj1@2fNPb
z9^6HAQ2hP057S=7e9ogmT}U!!1y18vF$#H2db9HC7ub`buj<(R_s@Lze_8;AZm&GM
z19HN0{T3gKX|8YFYU`UPCHQPs0Nq8Ccs7f&M<ij-&R+KH>vj><P7!o&Q_RrnWZ*GW
z#Pa1#bM1gR@_wMJn@s3bb)Eh7@y(MDuG}&$S*35jf6o&=UnxMw4j&Hv9(IMFN(XWW
z@{P=4Dy9cYm@E%vp+<e$C*fVHNF{a^F--IZa%_6Kw{UlLs@9-;sn1N?R1pIy4ju|X
zgtjey76|!l6}-Yq($EIfCS8Ns?IQ<JZPxTiCJ+}K6E#YI60$YSHUff{z05+r`?7kU
zcbIAI0dx}1Vve3DYLFk|$X%?5nZ+hFiFgmrRCEdlBAi0Wor(deD!}d6YP64U@L=Rf
z^alRUGc}c-j&QvR|ME~bkhjM!4fy|X)VpS_&{{k2sr?EQ0+ruEnc_JU+uLbc^wv=z
zVZ@fz@4^!DpZ(b6T11;T${QAXWACH1Tj<kcM~)bE`kYxA!H+Y)U&%|q=jMDWd1Hx+
zudam&2nxm|i5jCepL-s_1<~>PNtccz0G13NI^~SR4#O`^(O<&@o6)f)F-_i`<gAm&
zPtvUYdpMTw`%VwPDZQuL7&uILs;q5wZM||T-g2OKwf(!QZEEQ^8B~L*lcQFU#eRCc
zegK(=WxM>=rnjn*!KbiiktR5-_DzXMRc;#bKreBwnv;?s??;`ujWq-1+N!1yXSRCf
zi6P7Bld&nXs;j-LkR%P+J>BdxkdA9(S3hH^f&hO0_KHb$Ng)LY$y?$CO&I`JB}9d1
z-_FeEA-iqV{}6~aZ6%>w>WhHqMsh5A#Wis_2Yy(R3jlHu>)(Mdydzyz2ruB#TzgE8
zpGrP(*d+PxSfY%#r3I*vZ}FvT-^<~3(M|OLsx13fX5qT|Ed;#BNls1Af9xg#!+SyR
zn3J#~diw^BN}(N=70oz&WtMq;&UleLVZmfzg2m9J>iBAWqwyt5l|%f+x$%TN$R+BS
zR~+G&?mUc$MS#@+#5-1BrR#~6UpgDgTWFM_QusV!o{N>OmmtMrQ7|B5!plQxJG_DW
zgu+p!s-3USe%Ib>bn+3`T*+t62Gr{_ockp*rM^`h{*Xa%xEs2@sk-<&`e4vimRZP=
zNXKV6OE)X6GM5Un6(+HH7HZ<n?Ru&!4iSDs{_R5toF@dffZi$$+Z*kzG{_13v!{ea
zQl%hh;3*>e=^h>l8|nrZd;OOdPv=pDg6)Us2nQ<;Wl<DLN@?|Leo+u1TbOp!yW_oK
zCutvuk6~2#a{b3F%-7UR`7t<fA_6veX9{u6Ue_14wak>w%E<{NW(3$sOu@f=-?cL&
z<azYdMH%wFBTlW~vm;!2ZJ-|?I?-}wrl^`*Y70QFNeoD7UwhRu;-@4nzIOeQS&(6q
zcaHn|OBhOWu>s>d9-%}=%CZ$+BQPcQEhiFG=0D5BZGz^G!x&S-Jjc3!nJIHkDk@ZK
z(F>U{LW&c2%~onY%&YB6Ucu1gH2184Q!J!7TeKef!!#r>{V<?35&*NgEO!!Jm&ukj
z(0Dgu3MA-B%^>ESG3@LV{xXrROZnboyQ2V;8S#{_bK~}*hyJFSXA6?@+XL*<Q3DFr
zf%sXT<3|^Ps_}y3*_nWd1qa5Ln;+j69#qQub_Zm%a54Q0f7^>K5k`q{O#S)s^EMq`
zhZwuDQbj32AFV#~usg_D#z-XrY+`TXO#&v%OpaDTU^D<r10h1zyP?5SmMFI@DrSPI
zbNdr>g_$zAxmXq){c8?ix1K`|qXEYfqZC#jNI=joDw4#YEQS#TJ>PC|3Jl1L;N%q)
zbhEUGAbLH!vtv<-pT4wJ2NM(&h%p6+ZY0p#t?;vKFT1~X<Ui-NKa?0P<#x8sSKf+=
zMm?5nJ&OAfmegO^j*ekG&N33o!&p>|l`3u`L=hoAbiFg7js73LxH0O_O<q2~&o;|V
z?Lk6M;;nN!8xrmCrn>#SgI7*R4kc}HhWj=0vN}MSm@X!E*v}Qhqp|WdlLT)eGJmk!
z<K3&=QDc_^0A5ugFc1r6giu(DD9pW0Ye@#Cc2?%(IHst1x6fEf5-q%G3qBmm5M|y|
zNPhdn6Cxj8HheTjo|!k1A3d8_*SqePSXQNu8$a(JXIAMoF~|=N@vh&_pvr&KIAn<(
zDZT59ve;?X+M;aL@%Fv~)efN-4?Fp&RZ`Bjr`6aQAU1TU$B-Lsdenn|VvrMvx6IUn
zHy3+Nk;#^>Py73~o?=ci1?YHyu#vu~1n29n9VGYW@+=}PF;W3Q&y+CQt||Ji467mH
zd6)eTYdJts4`_8wYO)>Eku*P9p?Nns->)IH_;JR8*^p;eKu-s~{62FvW~5rplU{Gu
zAV|Ri)vv9OXKQXgU4O&~e`U=Pe(<kD2~MA)Zu~kR!pqtB6tsD`+77h`SnuG*dPp-F
zcY#d?LPbJm@TT$xSnSD27vf<+Qg=24fSo(y1Qn$!h6YQjuBCaT3YNECs=9kYZ~7&V
zYwKYl1vy2Bn~<W9CFe}N>I+7zH#e%v^KsJ;krwYPt9%?i=6W2fL=5m<wZMR(DjYsg
zma>(F^V#n9^Fc}l$$M9P`Q54BzO~?yO+Q>Gb?EZXhV=;|Euf=%4R-!$?~Pp#j98am
zf11qmz%Vx}wo?)5LbJLXB$$QvvyEwKRs4+hhm<62vjvep&&)q<r0Tv*9}gjS;`OP2
zO%xBPeCOGrYr4I=RI~QZiSK@=)C!{M*wKgwKKhEst)k#oS~is~mPZGS>kjX=qc5TH
zCjGJC=FFA8V*As1@7AQ^B1`*MTf%-5i&n5}v(y?{cD-y;hPWCG2$`Hjqa!Icm0J|>
zdxMG83=<2?I#fJvzu*P}cHYS3&8SfiuH&3D4FGuA9frD|iBP!yN4Yc2LPheY*?nJ3
zV#I!r93hh+2>PhK42y8+$oU=J(6d*I4@6Ziah$qaeZb~%x2gmcZlk3RUp~RqN(n!k
znxsR1`6gRe<XOd4l-H6AL&}))^NOwbs*m$WNp$n>7oS5u^A~-Lk8z^egR1~*Tr^vA
z8GeG0Xq^H(1v?q|&SsA+yo-$U_E=>^DDx3+>FEmLd2-H|{L-D1|28y2!(G}PpzQy4
zv+WEIh_Rxd=8iI-RJ;NDRIDyqTP{4TU-X9k#&{P$5KR0u(qli6rXv{BqQ^T{O7GkR
z$__iI6^6$lw%yCK*sS(3t3(~2u?-Q6%Wy0~->U1$8`Wu^z1^ev$hzUIsV|Qi;aWA>
zcT#iRb0s8e4>jC5L$@)z_k+Q;_!}&PO(a%a%%H)kDBtDAtg{<$uE>U7LIX4+LFWuP
z$-WJ;1&Na}K|*u}W<IGLXMyqkK8t5jD(b8?IOcRoQ?lhH%4caJds;s!CN3^caGIvN
zTsdWPR3Tf1Lu-ct(fXC}8%u>WN2s&ejn+5tsAj*M(RjO~KH{{m```3BoU6-C#s%$}
zFhl#hLp)nZ->!!19?YHn0R5e~+?^|OT5nPG$;CS~#&cL(hp|FhYzKxKK1FL_D+#MB
zF_Ce#>NPoS))n|LI$|sstG>VE{k4Wt!&cmL3QUqgGLXi+P0CpI(MnBCEZTU-6fDAo
z^}NwLQ>FO=l6I+?b7z_U_k9=cxOS&YB<Ix&SjTeLhi7T`oQ6xG#jC<yb(Q3Gl4ibL
zba(jcwD`k<lLI5GuFU(|vzEOteid75X(x(^|H|ipxu2rj$^>-*XiJ1%SJAn8awPjy
zEK8BvQiKGs;SJI<npCH*tx04=YA8%}cf*rmg>%8;r&FzCC<%*Ose<w@_dTdr+2wtY
z&^(LmMJLe6`fDw2^U4q!Aj?=;xidKX`^$5{dszKKE0;f&xDn|$s|0la`nh1VQYB;P
z<=)~*^iz@J8wM_d`;62JAF8sRJeR}OzDSA@`})Eu_8Nx^M~SpaK{RbYOc9$1CV-#a
z*aH{<#E(T7v*FI<ahZghM^k_<rUrm~LaG=7WQT^w4B9c9=s-5Eja|nAq>^$8xuXDV
z&`Zf#?@+OEqGM>Co)+91)ZZ9Mo0>qE-OqP)HFh0XR}Qy`Aq*SF<}}PY45<xSONrU1
zwcey@yZtu(B{@#KIdAVpU6~LspRtGqP1uE--JkU*L%7&8E#b@;HZpqR88CgW6}Wyg
z!$7B24Hi1VhO%lrNs+7;N<mTutR<kQ(t9eC4rsp1`(Z*UmhKJuFa~&+&_drl3&R{3
z*?hO$ZQneIJ}bW@anb))_3KZTA5_?s?|XRUgnWNp=dyv$93OJoY5uCPH#{|(Fg!A|
zP=I=UTE8su_+!PIVl=!t@m|;~^(gr5C_c#){+yvW<`Wkei$eR)E)1cI2hO<sCLp0>
z%7tebC14rmZ%@tlFz!8Ag!gy$Z&+=1!EBtm|KcD&2}qp^xz!hobHef~);;$)7dI^X
zOn5#QpduXGlL-%ttWx+^Gef&-q?bTjKeMa$a4Y?ui{Rp4o~!cSS?_<i#>G1(-Bvag
zR;3Y(S(2J*-+sRJk~xo*^#M2f^76elzxoC%!jZ#K5hZ!0DRr}yXHGZw((U)fE{##V
zRW8lQMKuk)-JQA0&+SRpMRHZ#+n56ZynYoODUota4c4}g{hS?#c+*zDmeQxAI376l
zP?)t6$?x1rWr9f*?AHhR5QFhBRYluL?UKbzLR~4lqYOK}i3j-DK)r1L1Krr3oq3dB
zmb=T7vvX8Cq5|9X(bHtdVFT$*2>(AC23h`*mZh7v2C*D|b-#ez`ufC{`gj$+7jTr3
z`N#IW`u=rK@5#(#J~KgB0Mm0~tuiKH>Cc<kTl`*gs_LQai%}u1XRMoJPmu>Y74d3J
zK<UKd!*QA2WEBkiA<{f4c&Z!+v2?qpJm(4?f&sl4K6Jn+j2Qz$vTt5_?+^*O6R^Ad
zL}$tgDRWhv=26atS&bisH=Xuh);UT`U$$_H6nWh4{;7m=+V}fm&ezc`p27IHv1(U0
zS_O`~g{N~Q-n_iPR}8Mdm!;6Jmd6bw)~#hJuel&?qEFt^TFCr_$Z7$G@w(TOVi*-~
zpO7&_KW^<Z!M1{k#GfneHoVg~(~hj$nqMLUn6^XD+wzAnHrivXdKAFB($i!dqepYE
zdLNGV&8gc20~dsOf1z+2ocSWCy+go26L#^}@bFgpx&ge>k4K;?Ri=INoI1c#6StqJ
z5zn_ZM|SnS@t3db7B*H}Z8VZOAZRHvRiTopZz0|OS#GS!wLzF(FTfHZCj+ptW9=H_
zT^bJ+5g6Y%;afL7Haa)SblPy4hM~rT7A6ZTMlIYRr2EiZSJ!Q?cpI)knSZU2T1Rb?
z);JsY9zW;GR&^hibE-&K@|1D8zY2it>L$(7CV>3Xj*gpx!0ysVtXN+K-jn7^5-RQT
z#}7JioUkY&*MxX~h$1+gtFf&Z^S1=I<)Bxc+VyU{J?d?H{@&v2<-mZhN>|ok0#Tfi
zMEhl%2~`m4Nr72|rqo~=^xRo!S%CgA(pBtx*ruER@5xNew&<_%Pt_->>5<>M6wd{n
zKa_tQCY_pgi8;G*j_Fo2n-v4JeGwDGE|HWnxP+R`N9Z8?=0hcdBM;;6));L@9u|C9
zL+(<=!dKhfCw7890u7sS&z?%WXN#0k$2+rpatk=mmrlNU4Z5QZ3F1RySX*56cCeF(
zi=tUil_a@a993R6+^ECLU;bu#fhDw*!}Nm=@|>2T9AdTBaEC0;S2>vZtuoNnIS{FM
zS@v%HArpcy**G)*IRHaa0rqm{No_NqF>Cynl&X8#L~INpw=JZg^<1cA2q_p(_XbL-
zRq#+ULv_N+E#IngljZdDHDS_Fkx4D}!n*8E(%nHg20#KI!T^SjXkq)Le|1zk7rN2+
zh}VlIC*GiUt?i=j)6rq3>05p^JeJ8iE8VJ##ab8tnhj&bJO6%XWA9<UOWU1h4{|(H
z_7v6@L4%imE@#IOtxi8?<#eRLuEbnrE8s)!t?ma=f2gl@of0QsQjX4#QSD3sVTU{E
zreeCJd^sx*R=<T@UdF?T(S)$|Y?7j!g2UF`uDS(RcRVbElQ{2=`S|f;VEJj4u$i4g
z7|i#;E`dbG+9llbR*PRt(nMm`jaKfI8d&rhxu%8QDiThpDJ>cUzzqIRR`tt483|x$
z)A{<!q7sRTlvZP<hks0+4%T?>HWUmbSg)`Ncn)67QJXOujA1;(+U8Y49cgPb!O_2O
ztvu$@A5mbbxk}Q4yGI|I$J8dwDFGNAiYqNGtqfvFyw@6X)OASa1Zj+srfmN>MPY%>
zSjcmhMlY6HIxr5`=H2Al(bYP8M{##yq5G+Bs~WzTlbsSC=!h+!n321w5-(kqG2%vJ
zTVuGx?YpVJlpzEO*-MW6RP{ZeFjJ!w%;1aMH);LRpv`wz7%8y1vi_wqajZNR%!&L7
zdoamf1*ua&Yc}Q^K<7Jl{+5FXRCd^c2<H!PB4vw>gEo$Kwx0eaL|nrFa-AT>kU#@U
zD6)Z!8;XZy(4JXnumMph+;Z}&qS*eO=ERYE-SVomPxAWv-z|B=h1PLEc+6zUtlEWM
zN|#1ebFjjcCg;)XfHu>zoMYR43{_a^ZPe{ptrWG1FIjwinHOseraop`1-F8AQ;uJG
zB)knhfHt_Oh(^W7OmF-azJXh{AP|sb2)p&-fmU^}xPHnP56Zyjgd7cxSCKN^svo%6
zBpryQKQ3~78t|yhyx3E+LC@7-y}5?s1g?m~lWeR8eG#f&g{ieQu-*~4bmVj5_NhDf
zV9X8$_9eOKee9{Zc!u-Zw_4OdI3Qg6G+?|2>Lkx&2vWoWopROD_-9@pV_*NMM6Z9!
z0F)vnrevk^=JeJ6|4M+ufZjpE3oq&m&q+Ny#J$O28CEk<WMc*7$nb@-%h)VBKa532
zz;qh#H$*rma9=^^gk{Q4SZlF>2%#sWq$o>SXc}lpB$`h($B9q$DUvXf6{BCxo?Lct
zGl0KvVlHh%+c4fbtzh5mD?8-Nh3cJ+A~f1PzFy_)t+5zFXq&qMIkNYylnUCnLfi-+
zmyMKYoeW^50=n3j5pa$`zUa5YFtLY6i|$FS9KziW;|z98f6E08BUWXuVZS9XUpUp5
zYfn#A=3+JPakILlud>gxKVxgi5dTg!q=tGXSPiBIlhNA*<cYVvm(QCTE#3QDb%`oT
zOi}FEX#NC)oK@BOZu3j(8ZZqT%suWCBYFNBbRJ?aY{kP?g|1E8nb;>$oMx6@YV-}W
z0LDA`GojA3;l0YvF5NG!-DDybb~{?PzDOo3A@=e`Yq#a%;)10o=De>u;MU$jgAs8>
z?++5|m`k2ui=PKxotG+k)J$?n;w^z1UH3BKVGZOC-3?DbW1KB!^RZ;wa@YWYm4_+@
z;z407Y(;t1&x?w9&aLu<xm1B?nL|ClMM;02e_hSDA^Y{7vNAe|ojX%a!K^7hl>;yG
zb*FQO0ZgXgZN5lzH-!SLZ{%zu5Q<IQ@WVjP-oQSWt|z`{rx$Vm-lISU*xVAcqOWw}
zFLBYZR;jkgps;X^aBQ)L_3I`Q!%%TdF1YXW-BWihPGZaq8xPNL$V!2vzzS9(u*C*Y
z%AOp^<<vAsqSYeTt%c;~=PONlElaj|><^%(SapglCMZ>CDG&+6Y+&?+L)W9Xg;KPk
zrib1*eKd{ycI}6MYJLOLG#q_8DX9O)L2(Q~QWzl>H*hbschOYnh;0lxlE<?I+Kb!d
zQCs;g0;o<4fzL@r@2nQ1seVAI+p2mhdikiR|MVf}A=jFp>5`&;1s*ny0e_ba-JQM*
zbMZ^1d(VE1lt>PL+>G>Yky(j(A7tb$#3kyNRVqUH_;<aK0A`%l0Tf93Ff9@*pm8TX
zNX`xRNMGN5HGrpM16?d>(KvhKo9=3Zyz-|)Z!v9TB-_*7-K2YzAV2qnBQDCzV;*P?
zFS*3Dyg*%?r@2~gQ6hb_+bN_=X|YnNzeD$Quxlyf!To}sH6@N5pD*uFJagmhS+3QD
zo9Oe@o(KY<XvJTos*G+U`?;B>2l-YCqpm!Ao(rI?Gc~~63l!vWv&e~G%BWWdvYHv~
zc-2L?PdEnFoC1^IfaQ=onxL#(RfpaZJptz>ZsXG`q9_fh-U>p6e-^t0-%PW&923Q&
z!xRHHyOt-J*>-Bmmj+NR>aOnHSvq_az>GSUv*=m{a45eM0+XDaJeh0XT<H_K$o2<Z
z?S{-|VX*G2dpo;ycldXUrE=9rc*O;T@n$=oK*)DWYqqGCYui;TRD1^mK`Txd{{M&|
zRf`w-mJUoS<+#~r0wY;(`+H*;>a(dZXG`bP^ee_x@tCWM_3}`ZYUm~!#xfYWHPrzk
zfZy*CWRn9rN?Ih)Q}L=A=d#M)_<$GuZ_?AgRvI3nmie<Vek{h}OQ|N003>7JJ*Acu
zip<fdPmnz2dJ+;+*h$@vAWtiL$l4F%HY<SQ#U#L@TIs4b6c7Nq_;wI{g%@#tLzOel
zZ)wM@&eYGH_os%qR)0^A_OMdD_plKHTte5WJ#wbU4rsAAD=>!JSA&N!3sBKYgaSra
z8GsfstKtwviua=WIUH`<N;(fefjmuCD)eCu_z%%jQ4yh3v{2?`)kCTDu9Qp-b_d4i
zw7jIF`4&T7QIWr5I~@SDtgO=IoPDN~dR0~etkA*iJ_rlosCZQ8j~YtXuJ@=m;rJUL
zjwMt?d&YGKxTr6~EYm_W{ceoy?~Vw^*#x^!18Qm~ZoPRj9_bZIWWPSA6`kf;2R((}
zr~vuR_f0|ok`0Xi$<JpyTahSD`(w+Y#h+c9e4-9shet7+5)*~Z%LW`>EgztyvByQy
zlh-AwlSLmSA)<#56=`Z9z#<pI#t|aVjh$cpzHx5;BaYF)1G0LZ;knij$s;YNpg_O_
zkn%GL0ujK{+~fGCe<ICF>gx|5KFm>)1eV0T?9Z2U<GAR)G+eH4HDV1g+?qu4KiKke
z-n6TGEu2`Prr&Omx^ey9+5(RM{(-Dc%i$pX;;00@Ip~s;2F7N-vQ)qt>7xk-_4QZg
z=q|my0g&OY2ik4ks2<>ix|lS>T|Kcx!TX+rzaC8;<Gxp*j?WaI7Wfo9u;I6sDmtOm
zIqw{2g<jVycsvY$;qPov)}MYnX{*blN3Se<v(LlmZaGriVG$i2q<WMtR&?!a)w6P>
zPWs`w;9#TFE7R$J>75@yP31VNNGLOv`m)yVwH=G`$+pT)=6AbkW25q^^Vmg0!{ZL=
z1N~Xk&bFol<r7Q!$Du`j={|-{nhIfYuKYKuZ(9phZd#_g!hNT5?pTeu<efvT_-*t@
z-c-h;{B3#)NyB>1;HiO^&Dkc;q>B6x((JB}Tsbikiui=3-N^R587Xy`D8O}ipsxJN
z6#RW(>x^Jd;`;UBc4F$c!`DA0nFZz34odm9HfJsN*I6IWyLXQ*>X-A<*Q7`QchBOR
zb^Gj<Ck|>4O_8bmZTjDd6~xrkm(u{CkR;eGbEBstvA>E`NB7y*b@Kt$&g50;AX!@Z
zH-lYr_Onb4oV&d~t8+TJx;$GzU=P9Xv|Hz|vWM6IDg`LOed$rvEMVAPOPDjV)*p6<
z(D=2iOGUi>OMHo;Pue$3W^k<(1svM&QlmLeu;PB^8+VPcwN@TBw%^nfK4+Xk#HY%;
z`o!2+z8&#tmxRDzt2)75TWxiVa_|uth6!U+rxJwg0FhjVnmv4na|Zh00Q@a$Eb;!#
zh1z+s^4u@$4Wx@stCuCb-@N*?A(4sdC1{A4;=6iP01FbX!h3|*xUR$byqZ1_ZXf5u
z(B-_Sm1r%7^8KQQ>C;lg1Il`>$`)NEKJjo!V!CCkvPsv{%&2u&=#1L!u7sb;rd?b!
zHTsRv!hlhz)9PE}kSwJzMj$Z_y^6^)H3)&6K5_qxF;AVk*uq*ciEW?e9cW()as;^3
zbAT??=yr>lxsUMt7Oj6dw|G!k9vqO`8=OO$6c~q%{V<AO9ozUQy_O@a1&rG?AqUYZ
zdTPW;FH^Gdi`P1}#La*NndK%tsH9VAG=&L75#N+N$7_^Bf1DKDnGg8Q`SV#-6yf};
z<;4%b;&MKjl?E=>pDSEgc*If@PueEtX-aZNy}!v3B37T~4Upwwj1FKVAW%d`t+J|I
z!38Y!<4XI%!bKT$$~YBvD!8vAu7zc!x^$nxAcEMCp&3$bebDoRGn2IJ&{a}jlxs(2
zz88+cB$~H0Z7MjJH4jsBq(kSH56iQ2jS(KP^kLTLyV=ozlO~NG24>&w=r#5o52pc~
zDgAw;*%4G9)!a%U+fQ{%A=yhx*K{pi(@?E{%JP0^&rW6~169{GgcM+Q#kql8djo*?
zkFwLEr*DO#4}Q-2rhQT<r-^n~$wc~7<dz5vW?zDr$;t_&PDCQ9T>*8FlBgE{qq&BD
zl@Dq??rq7}lg3j+O>s{#cxR6?n}E`nhkphN0;2wjX)}B+t$}nO7RN;Tp)bZu?Zly&
z?T&M7(rUZcPFed!d)uN3xBq%0^-#3FvKW|g^_jxehI*f&-_CDoNnEg#{nIDXm+~~q
zZ5>jQ1l!05XHX*m@xfO>V}l}@6U%)b6^k*7xZcxwyY@(hD+deI$K~J9Uq0n_apLCt
z`xerT*5+&@vAN(Xit%UuMPMWe*LDQ>fC$h|XG-&N!7qm1$6fz$G1Sf3?}jfL6d#H9
zd>0G)!hdaDwR1zfJAGYN)Lv>ED?xw#b!Vl%d>qgAnKJIFS39Pl0)E`_eq!-b!B#VC
z+h>7*u}RWnCkZ*@qC1P61toV4ITCiwg?u}L_qJ6!z+I3IHbX^hoz03mkyai{DDU#r
zk*nzLI;g_E>wsIwUTv@5ZveyU3eaVVy~YnveI+AdE6*1c0q67+s|u2|UwnA-ejM9)
zIBuLbXHts7{RPR~&ea0@?&{V0t}51fcQb(y>#5h!Wo@4vi1C(sNLYTY$x@gfg;n@s
zdyCz^bh3_^P7H1U1CG6uma=Av(QLsBi!N!g{V^jl<gakDC(!Y8>4SkAm6(&vC|o*f
zYh!P3zuG2_thv<;p5>v0YwW0QG%LMVz;%q*{I6td>qS$o(vtM%=f}tVb<XRL=Ab__
zUb;+t^^-3U{j>i-Nh3r9^DvgxiBN>Dc0L(;;D!eJ$lQ=E!m!Cb018aqWvoVX@VGug
zE~l_t>Gd3mIIYAYv5%LL`$&iYH)i}OaAUtc0r*9=VE~ndwE>{VtiI{iB!12qc_4;y
zMc|)X2*!fH#HTa%6;Fui^1U4hk1A=lzQ3E7T~nSuZB`z(c7bA)>#+*Cpciiy(s8ZD
z3gEYkEu<_IFkX5`=1)IV3oA^z-^OBIK+|V{bCH=uyrlJMd=pn_30K|dGXd54&h;2N
zFob!z7i5Lb?nq4F(d(nzb30Brj3jY9;*m24p(-WL8|;$g8^~$scS8GuTi2|f*UA48
z;3_`H88w@0y@<I&6lT&4SDEugkw}}`ph-Y8r<w_bP!tbkibpVu1`DbyETl#7+x(QY
z`1YBf1>XEj?y01{`#mn~9L=S(n#g~f!AiO6ZRauk&H21T>T2cUZhsug(o@}YYrqnO
z26`FlB<#(_rmO<mB`a=veHZdC^Sv(;SRKgTjD>xAO@jZruOupjUI7+4j2?9%p1Qo|
z*nV#bF?}+j6b4&&V*pcqpeNkAYKtFTCy>rQf1pQS3n6HbQ?Ma{t%)K5x2Q~&3i{09
ztew$Sw_g7(qJCtd`V6uW{a~6~OU%XG{3p=cVIaa=T^7UGDx6dKGW=2U=-=V=qXym;
zyH7Jcd&YDPu!zX<sGE9t*#<`^<TYSSTkAGP-^ULQ_3HrvOfP58n$_l59KYo7=7!>U
z`Wj(U5#lKgRjrs_5~*@L|Jb4~1nSY5DqnXh)U;9h1blH^m}UhbzaCvlP9BZoz2K9r
z8`l<hMqQ<1F4z7<oRF&jkH=|o!D00;IE~`~g$33LOScj)pur>Nl2JN!;8L1f=?x3>
zDf;r#p=g7WF-*P?NC*-@!WYrdidB4#2KG!=KXY4e#fR3oJPE|8jIAcmudFhKDbvIh
zXN#AOyLmedGZZ8#6&%tBE-U8K+gPT+AgbTnCEzgVB?=rWd`4<P0kkuxBe-39JFO=A
zve!$(yI4NRT+?Xab+0F?+V}(QbOqn*{4bb+D4RdF{t?i`Jb8Mof1d3`GWsr|y0Ci!
z|8?0&W$vO-Dak<87OZ3Y`t11w@fV`nzaNUf{8<UCJF%K%yH8K}<lTKv+TLkz5;|6#
z8}<B!b^}B4_9m{hp5McFJzwnUuJ9Kkoae${f2A|=6m^m^alE?Uy1mfo!3N2HS$!lJ
zg;yS9lhxR;aY!(k>3ay7=6m$+&oXgB9?4Di_7pn%sYk&2qY5W~e}7z0PtPPU8no<~
z`-o?ahwMfO+(tPi`e{#H)+GtbOa5$)q`i+*HEerJdzP$TbtFxC9_}yC!<5!aRRhyS
zu)BhL#!-YC10bVG06KXR!e(9>2TiI1X>oGMYe5b6i=n4}H&##f-tHqJ`g%v9#0*6$
zP>fbJv$|EW{FY%_!o~w?Vj;dYUpE?717<C!NcvE{rGXml_~^fO?cRIf$XU&&|K|@Q
zdS`=pt1rbXIKtW$OMz*uR=FlB)$wrJYJJ%os58_9Ve@gomvMBCVC$w>PCobN&nTQd
z(sWNxTKl%OJ0s4z+*>6YGrX#XsagJ(0k`uDF&h0oA+-4bwED_eZ4>Y(?Zm5dG<!)R
z-ZL%JmK%`3uRX&}Ssd!!66#{IV_>TVf>Rbts*At<Z~os8`Oou*XIy?AO}N)naWSkV
zaiO*`I6YYZs3Ip-s~l{0N3Md8#81@T{sWPwXODNz+*p6mjCYLikq;wIJei>TOQafX
zDUSK}YHddts6ffb<x{T8><u+`y7$&xLv1hxMPDGP#(5H07!tjX#093cnW7%Nv42nf
zpNseRb3GE<JtrU7%b14O<t%y{DH{*^tb6o!b{;l)SosZWP>l#{_YkuG^9tXCIL@yn
zvwQXp2*5@TWa?#^40fM_CM~EJ2fNm8n^Ai}e!IVk2Rf@&XO8E@XATTrFDHwp!-77w
zCdkvA+?w8}uQSNBG|W|{%|ZM9^i7>SPiUGW&r(>kLT?xLLN?2Fj16eEL5F!*zj#<$
zHANeJC1dX|{*T@N=c(fP-@9~Mtv@QepH!FqYOKrqy=v~2UiaNq`d4w&p|?~k+OwS9
z`Xm1wp!d<5(Zz;uHSRO4AO59)vMH;n`64eoS}LFG^E0jH4N$Q1oM7TGfXW<b>ux}~
zLJ4-Fv`qOYji^&wo|e1u%QT2Z14u4vgTRvielcZyGkCG6({_;E4})&38i%bVd2aQ<
z>wJyWjkNyl;O;$ensc{_WNMneb=UM>@>PmW61l1BsMO`OY40y7;(W^C>3YHXgj`#<
zkLyqQ^11VZ-s;sm`o;g*Gm-FP;0tER^Q>G25j&i_`~!#14w<NcS}Ad<{G|%))u3Sd
zD45X%PN!!WQ@f;bdT{v+_P$J*2bzic0bKRpKo$9xF=&a5ofu@(fy&yfsM-W4q7G=H
zlpfbGZGUt0e_gmg-*3OWS4wYT>qX48ck9PI8<WXihY#&%C0|uJzZT3n=1r4>Qq}Hq
zEpCxhAMg8TlZH96>LhQl#il%mL+0oO+LHqL@TPUCI~9flVNWP50a2hU2tK}^t7uIP
zWiQfMCCOYxtBf-D>t-WlEN+=P{2S;x5J>kQc7DFaDC1`PEwQtO>9c_L1AVXxXe^mK
zM`1ni+WY6*{!d#0{A%#=ZZet77I&GrXKkh5(n9^|+f_@v@0BT>XF6;s(2O3R_qRij
zsBmIBrLr4DfMXXfBz6RO7cYysTH&+kKIt2W`Qa6X8e2P-KLueJeTX3|Z34cTfJe?S
z^fCh!Rv2Z$*vtuYr%b39CCIubEC`rGZ%JfL$(J`I01RDx9beH$$iFV`)9<!?W@cuA
z0gDo%UIvq>E3fl8$Ht2d7j<D`P_^jko@!^c@wH)*aC?jHQCsv2|G$lfs@d7-AO6yB
zZ>&d^MaE;Ucb}*V@D7&K#nBAAN4-@eqzmF%tqAHXo;<tC={s22w2N?pss`q^=OWFC
zvOLzXjUz2iT_v%B5|wb+^aWvPn^9GK*Yp3il7C(yP3qT)&bZ^XP4PUbUPkRLNnL&!
zZ~IK;D(2u_+}l?B_kklfbs%I&6=mRfOx?4O<_b2{{xq8tM1z9(CDQw>Dqqz`+9ItA
zL9fDyUD^*~k3LRm-$KA1J3Wphg1y3mGkVB(l;Z~prA)c@<W4Z2WvnvyX#$AB*|CEN
zo`3ZXz!kf7HhP2=@`>thzUD9YMYYHOhOM=A(UavnYsq}uZxF7<HJw#8>s-`~Gs~82
zoX0LCP(~z#kr7s^WlyADy&Nin0~BHyiZPmG9l*Nq*d&OhPgnDr2;UTt1ikDWVFP*y
ziZ%0J^TT8|=d}LS`tRDkpAT4yl8}q9)SlR&t7}Z(rhZPqHAosr<z*6G&MVnqErObq
z2a6;x{IPc2=Kya(*g`s~Yct|H4J8KWTb3*&k`Infm647_7EAKCKs)Q!-XR&!Q-+2X
zugx)H9)$Y8nmCpT`^pZF(d8m?<5<AXs@4FoCQPFXBvtlb%XRx$)C-!b-H*n-!8kz!
z31NdC_>16U*uvsv#*MIdqm7}d`hQ-r!02o=!hZvd4f;$?oAkp(sc-f)QIE9;uhv{i
zRrUAND`i^b)RzGK4aNhs|B~1~dm_lLHvnkr|0@*P7beN#xAwj3gh0XGZ^HUAvtJ^E
z#}>lOCq_5XPD0oIbx*~)7Hy#2LCM-%6_i(*cP7gp`{~AhYBFrAh|kT*X)QiAuz4+3
z_X{@JL$KCSm-BDe7cS5Bmit$mOa3cNl_BT}PCfbELSMXa*IuiTFb{lPXoUuS2piU_
z2(ZeIW1*>7P(RGp*7isQ<hfi2;yKkA!VYMGHq%%=fR186A26IN^0@Kn?teG#ZhYZa
z_&ar=mT6`QQg?jHEx(3v#rfZLehprK5N2nK?zwFF$+35zfu2Hk%x&I3m&uj?CP|w#
zx%^|w^NK6>N9E$>fw-O$wegoLk6m+qbg|qI0(JyAaFlm2RxFJ56^Y;22&p$O$w?n4
zV=LM9af;khbxH?`1b!byzYVs+;3896N{U+wD1-9@U8zF!si9@jdRu2Fu(Olizn;}_
z`2&slL*r*U({OP!_m_VLS`4st69d+Kza+ZCB|C!E7X+l9=l*d8S(?YxW^iRi3an)R
z?lLn$I7HgsJtRJ3diDM-e)SJcgvgfLqpRHM(2agm_TXv@;#VfDbQZnYl5ZjuFYTIV
zNt{o8+0NuSt#sAr@VvP1$WpA3!I-De=12~7X<clSod~a)?wr$z-U#{MVc_47a+b5B
zv$Ixm--TDBa$}e57fRP$kh#{kzT;ka={E-~wKHfOI*?Y}pE$rx`|NSm&UZJ~j|TJb
z!q9eAQA>C4JeYzAZNi0}bs%#pR)7$TvFhBXq-1qUW0o4y&w@xc#s`eDpOLY`UCXJ~
z-uStb3a)JFz#m-WLX@7j!Qw_)8vo&bUheMh9Yr+RQjRVdUK?%9G|-J%NEY#Ttydn%
zNHdYEIPAGU^7i)DSl&K+FyrxshY80lgd|wa6N>Hzcj-5Iaf79o(-S&*C>|vy<LeEy
zl}HeS3W&UAE0sq?^g>z6Z`pwAgzRX!Ye0ZH&lC$FM-y%MalzQ!JtMpR^<wQsRcl(x
z@xNLRJ6b0sES_nZ86s@hhTBNp%YFz7ZTWLvP~SAgQrp!#<65TrrmV!Cxe{>HG-Cf`
zrQ<^1v+AQ{lW_VQGdZ|a;ITs*lK}Up{beZHKV;M+Bxnx{@Q8#Jpnczki#Qy*iD+u3
zC~DMpF+o$Ou+&*m0DZntbVtS-BK+_7>f7$SqniVaul<*PX!KrkOmhe^Y*T0mvr|+!
z%84H?y0q++MfG^B1OmYmfBdr<-}mjk*KH-H4c?CR4;x63nur4VkXTam5`oAcKM1%W
zeIR<sHCP5XKT`gWnZ(q2)0e%Qprvmnk-?NRy~n!@=V<w=@E}Gl#HEN$2_sQ*U0Usv
z!vDjZqGG-;uJg$C*XgJz`I#p5tj#4s3Y|X<)V;H1xu<^08Cz3PiIwj`ywR=7`RA=4
z3GL<$F%^XM4n$UYvrdhfdxmk6YfoiMCPaM!9CX04G<!`N3!4R|GsHQovoBWmQ}I4z
z$>;X*L#j#u!P-7<P90YGm`w_7QI*>20)_@H105jxs+527p8s)yzN3!3_wOFPC*>J)
z$aADsUo0@~wX3J!T50ZODW0vVoc_fh1D=WwFaE>=N}n|O9_xt_A4Xxyoy8h&A=XsS
zyftX_{EFtTqGyc$2B<r<j&h)MwG4uGWMfjxo4;&{VxozNaw>l79rDm)C#QX)nU$c;
zM1?c1!nsTgG1avz`V3LSZvkk`$b&^U|1sPD>$ny_;K;R*Q<POj-zS&(RjS#K80=Ea
zHmp`xTuLCm@NA>`=es@7Yti}J!lB|cmyamKql6*!DR+iD_Otee6pFG3(h+yKSyppo
z>*g6{7In%K+A@OoUJeMw@p+u_o9$3&09mI2e27pl0QKepGWAdI=ZhXH$9Img_iL<#
zCv79hX&wOn(W{3YIrhIE^p6|&ul!zLUoSXyY{Y|bUOi0)m5u+|7C<I*joCqk;>+C!
ztly^zV;Rd{`gwmYS+4Ze)7(x(qRH(-?+R|w7W`?XiM%ya*Q)4R4foV#NID`dEvAzv
zA(eI46Dt`8@Kf-VzC4YM=J}*Us%7&wkwAwFT_1O)sAW7m;Y?=O)*O`KMPer!NYR2u
z?TO7{q5tC;{1fVVIULaL9u=Itt(Wxe$~8n%rO36>OTS$wYxNuTgyqMAF1(ug;dM@w
zns7+V=}$bMU~o2i_%Y#pE~-SSW#rwIr|ERRG<AM5#5(ikmy^cbqqFbm)1sg%ia9oD
zK+oR8X<QhQ1sm35qk}2iv2w<7@&KFh0O=Xbu%~}+UnpK?*Fdn=vGj?__nZH5bi4SY
zY#wJlDT0TPL`<h1I2g(VtgZbzrN6nEXMj{v#bZzXoyvrF9s`0e!`s%^2+b^0GX=f~
zu>8vep6u_Tw%5ByU&QcV4i1~o3!4uWR~If^R1Xv4UIsbS%gV|cwiCiJEI7Lbg<>N7
zhvyo$S#&%pnsz7tW8afCFHW*Ac0Gx3pwBW^ZS>cI%8R8aHHpLUPmFrTjp5vX>__pg
z@cVMO^>Gz}eA6h5^_$Trhm2RD7vo#DzMPak9_9Xf#eebZMCk$%#v<Z*MV00sB2sdH
zBT(vdX$Of?mA{|)5B>DZUvTSTZL?SZ4vlApf^9QS{`>PKes9dGy4e_iam>{YwfV5u
z2=3r%M2PQ5d!@}t&r+`V^YOtCfW=Rfj+pJt??vCp*I!lihmZ6t*+fFa$_nBY)jO}G
zT22T=Fc;fxHcLT8Y%NWwA9J0t;P)ib9t+;jefr5kVyew<z07i5u&^bn8)$#3<)+i0
zw7BlF5mKPzD?ITlW27(&Uv|cSm{b2;&10Q9GL;tx$zC^XM@wJ0ev_`v>@%&E=bXNj
zl9t?w?G#TPNvVh}JHH*+H*8}qge<+vK}XgZF`!`Y{?RmUsP<WY>0$NGLV`?geHES>
zho^e>yQQ*d7Uj4c@xXlCRdtxPZ@11;xiOjNPxKtpZaEH&*S*&B^4~L|5u>v~DYWd>
zy>5nwT3WTU6cQ`lZ&X}~cRfmhLaiT0I-AGlnbx_h9@_u6f8UFGuQ}&jB%T`6Ag*&?
zetE!_4>mGmi0*zr-njADytj9BS<=7Fa@ng#o+`|qg4KlJima`7S^6Ox{HVxHnrn@h
z6nLr{uQK|ANg6K;4s1GZ%J`X#KFb~T@6RcC{C!#)J$q0WzBlu=Zy_gT)z%t`STA%x
z*6F_9W`_9t)7p39pA|;r=2Z#UH;A+>>91Buq&Wv&6pSNHE#xgV>vfNcd3^H~vH|1~
zF)Op#zzE0`g?TX2UUiZGdy{+-PW-URgjGh-5>E@u$;l~_y@6rjV6_L&8~(fHDGuG6
z^<+6(Y54i(CEO)vr)peDE_9~6Fex|-h>b#*cj?`FDuqCv`+r&hz_VHcSea|5q(tm7
zm+d$yMa~`leylUU1pQ6F1W1pEi<sNmm<YAa_x25eYh+`m&?oFs|AIS3mKgC=K{+hA
z+{?oP2P>x|;?8W^tVWyGTpo)liT{tYh{9-INnJRKb`Q4_i;mIufT?t$42OxPs9bH&
zkzBV6{Jl+TI*<|exYyt4hZl+K(~TTj)%b#W+93KKBkn?1NswGvfVV~qsW10ce>7nr
zEN&ZJ7uI0Cm`Zc{)V=L2iS=ks+`=O)nBOMQmL@FpFpxFe!DLTLvnHj*(=F*tyTkt)
zE1^DU9;;wpKRs~snic#BNn|M7P%6qmJ%4>fkqnW(eB})S-g!B7<QZ=G+;#%;eG^De
zZ_UYn%?T(GaB9EWve3t6F3oB_h4NN84&KOfO>p$H0nTO7Ql1Y<cy-$kl7JqAq=qmi
zYeQw))^abrXlS-<fJ(;Eh~TTYk%nWlK!(WLrbn`0)>j3yS&)B6XWZ_bJxV}IwhrFx
zi5JBMzoHBp>enc`-^%irI0YVQ^s+rii7xw*U8eH4VN)vQxEFqJxz_L9YJmAiD`|xU
ze)}t_BZIYmKzqB|RzX>pz?IupF>GC+XBLQwCyD~yUDAL2q<Af|TVRY9HlkA6Nio;S
z{a@Gcz-Y{FE-o&%x<4q<O9+wKhc=WfUWg{%LSBXf$E!9_XDN02#`q@!2O@1@a=mo2
z3YeQ~Bllp+N3ddKH?2q9%?)e}5v;VGl&A2h0Lg;^(i4ESPOt~v1FS`3h39Dt>$2F>
z%R`X+<GQt7k*;hIqXEQdIY?CSnlgL$Z<jed*z{~-ExYz&kJIoAPs4(iH}4!g(jFNj
zp9qCInqk~69wwp4kf2m_0J5NV8}9gSbmX!QgwF=6aw5%@5eGSQrP1O<McT}l%3H>e
z-YP8(N)^`Hi%lP6FMHGFLa(x&fz|*3aBHxSSI!M(2>^)4DBC1+?QO-C>hvyk2l0Q+
zc1~M78b&q<5Y~ejpJH7ZaFZI^)irIhOhxI%VQnc5Y=WFyaDk(Q`(^hFp*7#~m8jcr
z+pgV${5Mzq{8kk?h*BDP>UjdyR5{u9vtoqQA;*vSxC7~c_!FX<0F3^mtmvsty1K4m
zagP93vt8(YL>jMsZl5q>YGf;kgFUCiaOiPn=-;s0@dyZ7ani~9-*>w}_t94!h^(xv
z!IIGhsD;mLL!zap*zYy~*}Uy0Fs=JVyC@`8EhO_N^Op{qRg;_YPfk_L9X@gPA8a#v
zQvN8;%sPK~<o!6uJgQZNyHhMqbDg?LqcHlx8I<=eYJ_&zbu12L^<qOE7CIviKDC%R
zCa<*G$Vcuz-NoE)N;hVpJn1Nk&cx^$#XbM-#}!PrpP8n4!F!z0)q7L*E_t>y_8zZd
zkVp3?NkmLQ?K|U4<>9V>qSRuk@UYNeboldT{IL|*LrB+H!vw>Dhc6fS2Qe@<9Eskn
z=E|ftlD1kN&|2(GLVemUENRy&b;dqWgN=pJm!1RthQVHI`l2nI1#4Tz&TL`EugEjZ
z-#`n(9tZ@YhXi9&|MgTHQL6m@EryVM&qh7R3F4yQcfI#^MPzqPLt*=n0uv{v<KtYb
zCa~m^T49Yl@aN5oJ;G;s6~;SKFZjCIzgw+vw!sMuLHEwTBI^mHm?1T-kVqTvrsHrm
zK(YXlHakl3%&hQ1UjZH%s53oBj(NBIUY9k(M#7XRux;D07+gmTW>EmfjBiKKQo(;f
zAq|(Vf<SD%oztA5&6jcaA;qIb?Sy`Rap|;E&HlYX|Gy-YgFy7T?LM{oW72c+t2_UU
z_ZYQQ32f(A^AIxJL={vU$tVe`Ji{z-V&?Ny;Ow8lY*21tRbk@bDMr@Va<x(AIM676
zDigYC-c9(8gUN2ffGJNfv4gYmBd1Ke&HuHCQ*6(1uY2^Soxk}SO21NptT(LiYM51{
zQuM^5Wn9K6cH4?@muW_Sk*{km8hQ4GRl^Fzbgr#h+{}66Q6_DFtZRve12KDXu{O`U
zVAHAF3GcEi5OHirzsOqCc}CG|fXOu|iI`+<5BkD3<y#mJx`9VT|KvFT!>xa><~aX_
z7F^<kR7|`{XwLt=R^!Oo2cVwX3ojg3dny%Z!|Tyy%TuN2|7`S~y@Xq&Lgk0TVytEX
zcZuZ$3NF9N0>~hYA!)(z2vQM@?#W&nxkQ66m>@E8$qf0RPN$au+2eYhFgJx|JP50Y
zZ%Y#;DVX90{v(Mr3cvZDZB(Fg?Z^0r?$P!ZfCN+@S^!TR_b2ezWcp>m8(scB$B(o>
zu!9D)n()Vvbe+YLk5bKfX5%qL!)`0L9w%9jd$yBEMjMiG7e%7AXrNtXWo)?Sbdjbm
zn9K#(@9*KIh>``&(BE;c5Ge?UHX6BYIdbVgR&6hV=y@6lFeutb1yAc2!L^reagIL@
zyXato&NWT<6H0pbXTigb9@&O@L`;6Qx$QCOS#aFl1nF4o2pwMo0IZDF#|eP>=<s9?
zcrwQq7Z)2{l?#c;cSUR+erq{zOirj8Iu0*gJ6Ep8jw7)FV5W|YWi4X6hW~q8Q}>>?
zWsO+d)o!}=)SfT6csGrv96sz?cH^jq$O6&e8O*RH>mL}m*y_Xjcy%>Z&^6(NUXwV^
zq}xO)L_qw-J-Ld}AX(z4`YK%AW;v!BIBX>g-Ds3|ZI8SaiH!TP{hR?2kZei=VHt+a
z90MR&aB&I>W%wV!C8u^h<3Y&{{c(j?o6k2c%hVNQEQ?I`Zk{02X8IZO-?0DN0~9~g
z3{rO$^lY);Fk?tAWgYmM0p`lmjhX8ax8gr>A}e0peVFLQd6A@8w;Cs{vh_LJz}pI<
zZqIHn@=i6y^j5RVTdKAW;#vOmDL;&#67Ve^q%xlZN7fo$I%v?6!35L|4eWyd0}rgE
zZ~!YQ=zYxn9xA?~^;dPl9PN{YF()<kh-53ZC^Q8e)Ko>mVtN1I*h^BsYSwBR$F&;q
zMP^cV!N=tKsaBE9nP|dtt?E<;DTHWD8maJ{$AXy)=$;Lb*YEG8%$M4kxN*^i5SD5m
z3k(FfYSZH;6;A)|2jzAHwj3GTZDUt^<z?C+<mVIbvC>8t!^-ArNVhn*!=Fz-ngS}v
zUrXL?1{YID%Efh-F6i7|QfMm;-1n<@v{@QkU9pl$sUfC_E`mN@aZ3ke5nPaLfLmj>
z4D@EKtt<fwkaTd+bai*Zf7H#L4}8;sytzpdofugynXH;=r6dL-$qPY-&tL+PPXzzI
zr@y04{QN(G$=DO)IlBXpPPGA^g&5WXhLvezqydFqpQe@zA~NeYK%^S-%hln&FB<H^
zO%{Naw@cLq%q(U6YvgsoV!N<p5Z3RK^a$ac^#8T@-ce1ZU)%7AV(%zja70n0i8QHE
zM?v}sN++O5FQIqHAftjbktPI)BTa_hYY0k{8fghV(h?zr2mu15y(fadZ#~~LgU?^@
zdjEJ_%O#5BoO7T1-uv3uzV_Z_I@cQkGIDAqE6Bx&gCZRll+M$OLS^qO`4Qva3VjgX
zIJ&`C&zl6850q>Yo*R31tOq3tAn-4hDQyct7PGyP4xm=Y!}tYnzH_c^YkDXsFrj<h
z4M^hjsKmd#s!lP>mA7WH>N4Rn$3SD-S%ZJ`woR$*7fvzZ*4bb4gfD3jsyUmoXXpQf
zm>J7IG8s?>kTfo{lx^GYUX!?H3HF~{zsl8hxgCENkGcKc74cwS;>+b#8Tq1Mk~Y?F
zCi(>8+s7j(LZX3=gR+~GZ-VHaV}1;!nJDS!>Vn>0wYkTuV#CDEmM66+<DFFIUxHhI
z<xVP1uWRmhUYmS4-lXI9sFwwaoW{p3EaDwtj5~&-_cim|s9#nt1Kgv{y0fc68+|7o
z&3DrNqqBs+(j8i%j#HY%z|5`M2cWrOcqC5V&Dk*hWmD+h1F8W)PapG@CMw9vq4ikN
z^rn+I22>r5M@j}U$YC=SLC_7{8*8okG0g)dhp1383`+ySR}ylSt+Ops^>(}4UqY{5
z8+up!VbQtcLp!=YAwb^HXH@Hh9E*D_9u!1rY}v<83gLIsfZFQk!L_L%`kOI9$PA>u
z{&ZJ;_~eOhDS5dY9H?JZ&D6gD%93;_i8=`+76q2SK@u_-ibibBnE{ZjDK5z7^cNto
z=H&;5SE;;eE@%282o}XiV3HlQqS`w1-(LFmrZpD6Hgwe2xnR}4Uw9^&D0!NY$5pq&
zBRAwWkrq;F;mDDPNr)^?8Mal~yK|E1Z22)r2QCqN3`9Ehsb}<Dp2mWWtAoQF(8rAr
z^uprHEYO*+TNcwm8E;ozFSWG5kc||l1BkFA;Qd|2P}N#63}{Coi&9)xy^Nch8fR7l
zs!+j@uIivJz2tM$ZDjv%H{IkBn#bAGN-)v#H#3+u+#h$VM`Q4{h7P-1CB9}nUne#F
z$b9EYP`K16j2C7cavHaTh4MM>mHH1Y%e!1JJc%`J$`BsNb<T~#{|>H~6fLK@o(la+
zBqjmk%aw-9P)a-mOa|`x#X~SNsII5y{(kAO;>qQq4-?p$Kvr|CSt{ObiP<d3fMJo?
zy-Sp*;vPKw`?t@>zqo5NZ5Hx&ckS!xzE^A3{c_NOCO`0G%oBT&p5@4k(n(D@bVV;W
zZe?CPul(pvD$@I4)|K=b$E}X#DlQwcS9RayYkS^eD;Mjah_y;&>7c7xpZS66*0v>9
zUmM<Ham3dH8H~Mf-4{v4PFoSA6758x-T@mKI?ktO_OBwQCJO31;f?<S6z>V9g|zVy
z_mh1F^d>C<Azt0c)R}druOPGDh(&2hzGUWF)21rMBBXY;{W14K9k_a;vz3&9zD#v*
z?!V6DC{OmbJ=$eYFFaC5<k?A1qb06My+fx+iDj-;OWdPs%ssRSH8APdZoflx_93c2
ziEjS&<lSiBhB<MFe^V^uYivl+2xGw}<`GXJ()*U_%ohw&6&npvQejR2YUMD=kmbm*
za+GSlcs;*^kuOJc9loMLv|rnRFvbMf^Wt>RUIpZPHwm7tU2*X5>^_({9lo4>_Fmum
zghvhJWKO@&_D$t>$RRTV<E2b_)xsVvH1+N%frd+N63@AMFIVrw@wOYBGKj$IJSdh@
zmW8F9Dv%HImh;`~9=-H(y7UDJi)7Ye=?HA_lK_D(xJL^4NlIb}%xNMpMrn8rQZ;xi
zfRLR+5u23W0EF+L8x$J(0Q1|tUh&FiG5@gR64JH3#~8wd(--Zan+XHDBYb#9<fGqp
z-A4}F?)p4#7Y}Jy+861(QGZu<@v-&AI&PjE+LQQq1raD8wT>5U(`EXuNg=5&SqU!A
zU+&cj_ipnA&Z#%eS{h$&m|1%Ww4KWK_Vjao>~*-0_|>hZ#^HcVvjIoAU1fcy-y(c*
zteP~z+{A<s4;=_(n0Bq94j4n8dl_l_G0e=(`NvmJFs}g&^O61Vt-;*Xz}$idl!uV_
zrWq-Mdtv3EVY=^oI&?EhlKC;>a)#f7G-~9TULB%O*{{28u`xr|vC-1fs%>yF4%wTn
z(Ta8sd~%!0?)9)xEC!qET-aRkOeUl8M`ZP!ee2h?SIgDWSevY4C?c(@LIWUF8n3^A
z?7c7Jqjx4Ym~!ZH+P5U;H$g`8fMF2Bv6y_d2+GfJ%wRr7)><vSi<IDP$u}4<6$LSM
z{Fy*^gs~%;#^1i)c+PbtO(}>1Q`t$t|D%B#e#w$)Medu`?|@X9^y;sob=6K;MCEp*
z`V}`vaU5CkGVn5LtG)oUX7SE@*v1Ubx1v`~f@wr#LV3YhA$I@91F5;Sf^(=O!AQHR
z)+++kP``%+K~<n2fEnkt>DV{+m5f;^g4S}>QU9VdFPF8f;E{ZpR!h^7k^<c*l&`lZ
z2b`Hx&#Yf+AhWbO^_P3;*PnTsG331e_{Uq`0R~ksZeCP{O2x={OD31)a3JHt#mRR1
zo8~-v<O`R02bR-ITmenw+7C_Sm21@{B?|yVaUAuLs)rd_`#MO=%llIIpXgbjJiU1)
zwukXSkoJK@94W6yNN!<jq6D|L@ID+FQwvpw0gU>Mcahe}csO&R&fh;!5*_HV$}l4^
ze2Jspn_8Az{UgSxopbkZxP^}cke^7da==`k%A9Szd!Z6^E^y&>xk$%okQVH9n$C=a
z%3V*sdI|J){PfT&M1t#GGIvn;1|MP8Cv&;p=w>2X&*d?9@hDAm;>FbZ>F|%WDJ)rs
zBxvg^g1DxOvfLcau`9)?UKxll2ADzS^uxj)RW&$ME|^&!hPj$H2B!R-xtq5txx@}o
z)UEDTF0W-T_0`{TlI$40Xr)E+K&;D3!2<qrim#M@iL06&^7)<hYD&(rbH1aXhuW|=
zka9Vc$oDHWaBQiA;!9j(#W@vz&r|oFc>=Iq$+7{0ZN#O<s#I5^Y<g6reCPuzpF=Rq
zG+!Ww^jqf(W;j(RXPl6SFpaLHiBkTs-0gtvLyG{p4-b-?h`VCO_~K;)g5Q8J7y4Wl
z{o_+Ws6l>h9Q_?9L>-)+G&ACXCZD}Jw2}TI^X|ja3CXC%Pc2nv{7`|DWQguC62#S1
zIJc!Yvq=J4*hfv*EHx@dQJF%|JjYgiyg%={`<~xiy-p@g->b_|6OPhbn8@KA_HOmO
z^e8pgnh#i_wl(iF-<OCEFemuB8;AlwR~beOm-tZ4cpI_miwfm1wU$^sbM$r73)R)X
zpx%I!mLN<JtuP=%!czXBnfzde5{X8B4kYO~BG=`-fj0;;yn$!z%1KyRutAv=DD&Ox
zd+>R1*QoFy?1>{Jz=X})*+eI%7d7wTYQfc_`TfDHw9l`}R0E(rKjzGBakFBRjF*IW
z)g!1FV&|+JXU)`ez6>9Lqbc6n(j#w@#>-JWOOuGeC)jzg@-SUKn=YC*)<!A#ZMXYz
zD?W7R0^?aJ`Sonnz5tN`Cvf@DnHF(aGG6|!Pmdpz&mpLnU_z>Na%}&;R^|IV^gKl-
zi&(<X%0E=j)Gar-rc1c12Egcpy{|pwmdz=D?mck4qSc9rxHh$wOBI5S1=?Bzfkc{n
zn;YtWU|rzSNecE11^P??KTh54{rNODEhgwmUDEEl+}3%gv#b4bw#wKo)BYUrz<7>J
z1}t?>Pq$jFzRWh=X(xOuFtWN4{u%z!?RfuzSfqoX$V<#U^XY(81<rx4S$#)Rx#vEK
z#*OLxV#NBWy2`iE6Wy1+!wHtU%Djm_e1Qxq4UfELY;JDeMVBw6GxOyU^E$;m$6>G_
zyt%I3?cI?1O+A)NiL>hF>96`E9$mp9J2cvT<*Ym6w}`$pdzaDH`pM4AD1H~a9W}Xe
za#MHrpQBX(3;Mtq(}MGfwH|PwPq}@3K6W<B*&tLJrA*#S3MK^#(h9L#g$QZm5c&Wa
z9PH5ru%Rwv-NwyiZ2#lBY(rnBjwe%|24|AT@hT*LWT9J;Z%6cQ;@ROxZ1uVRs=%hz
z%Klb(QCI8oIqSUj_xW1z1ZkJH3n(5J{W$Zy+Ah)Dt@>2kbez=acAojhYxb2RebP4<
zK(1$(<%bmS-gMoc>6J+)@mSb9<{nH7TIrA<4<HnBsSq9Xs4YMURGzC+%vg(E-Y6cw
zTpM3iimzGw9^%4Q7?$Kz3{88rgwlE=n>n0Od}>#7a!~s;OOJZ1TMyBb-7sGUnN>;d
z$tN0u<)qW#a6Q824u;`7^9J4}RT<rWAQD-cUu7ZU3&}}t-Q>?_`h>l(T@#mZ1L})1
z=(D8F45efcer{<dhe4}OqDod<_*f=Uz2^dzk@hvdv64tEXeBOI`EjHr=Zjt0*(Sw(
zIrIQ@_C4*SGl9Ig2pN6V&51&XiWID+dH(bkxzo?0-??RH=NKbz?!$x>6yC1_K|E-M
z;?@|VJ+v?su!zjRog-yg!$(k!o6!(u=8KSTFB(mc*VHro3nsZH7RQ|xQBd!h(hi@B
zu|8WOlM75cLJ9|(BX2b{h)Yz3?IuqzX=cw!-&X*P1a_WZGoP=_pC3Tk%60T!563ji
z>gboJ9uSv|*7BS-uuBp_ZlA{{MRxsr7Tz?AM}ijPMRUI|U+taxOfWI}HmXq`3u0`T
zu~gFO6l>7B_3}dh<QnSoi1KG0!X|{hCW3+$CNj^Fg4%h2Ho4HPgtNz6op*h?Re4QI
z4g$UxyJ0I;rgNOlJ~Ef|VG)z|8Oe6Z*K4c%U0}!EMzezllpV%)@XfvR$a~U)kUQf5
zDH@KEzW>YFOYTB;Z!&`mV;wnry1TzRxZZKV>$X%j$_i{Azq4oJ7?N6#40QF)SyPR8
zq%<1%l@MLDun9Rvu~c~OlWQ=+gfQ13mIC-d-8A2cTfUub|3W8k2e-pX-(~aZ>E|@w
z<YwG-<gw@lqn|ir@e}OzMR`6gCj^Oo>gZ?4Rb`ikZ36`}wYQd(^3)C3*lL)MN_?3|
zx@L2n-5(6L86~~*hd(v)K6^qLgMK{3q#9W=R<yS4ZuH=hvg1(VuiAl3Bj(VM9cv^~
z!!;i_>v|5M-E8JTXD3!D`|OUto>Bai*f~^oXLUuE#MKnaDz50(W<=a|Ni{W4X?lg>
z!c5zbD5R$88gi_xZ9<WM%#{ObaHbc_``mgWC5N~1*i_#I2oM*ypY&xsInz6F78P(p
zf$=8?1Ifkw7%3=ct|_mnTsc&9uq*ohQY_9_90hf%V~(2nd#*Ec<Qt~!re_(Xbm+tM
zUw4UPLxp~08PCYb$lCgv*VSS?>oomp;Suo4qW6W|hcJ(t(W)$USc9V{yXMGvoV!BW
zrSBg${3P`235j-G1B}IuCky?ZTdkjy)AP34(X-^fHh!%jx;0KVoWO{_@|s#jr&5r3
zthvvKbyDiP&Us~KA%j6+;G+Wc+Jzi=T%LPB4yG{2CK>Bp)5?HUxq9StoOgP<_-=Qd
z4saarYPSN=A#zgD)#=a&2pqyB+rpF={^{0nn5&bct7>ryPF_dzw;!h}fL&i3I8{1I
z8j0#U*YptGvY9q~I)CVSX1@8Fu_h3|R#kn|oC;C9HR8+fJMIo;jN_H@5!eQNMjtgR
zW6~7P><`FqV0sMH!7EIIU}NR5`cOKP*v?%43KRfHQzD{+YscR19$i=EH$8~NU3ir0
zkx+>i&;G0>Wu9u3lvPS|tadFkxwQY%Su7;A`Wm-d@r@thPaC`bulF|#E-<P-D55pl
zJ$26ND=Eb$q-ZVYnaL@y0NTbU%KKGq039=AGnu(!qDO6;u#}7qA@-ET;E_HPzhR*!
z%BhLW<#$oDLt`$^K};xF9_oo5Mp0uM@(EG9<w+KmLq|m5`WiY_hdQ|<nEGteP#|xo
z>V4gJkG`!eIdwnc*41XMb74P9jQF@dN!4%}X=yL9PY&Nrb?p2CJC|dXW-Avj6sG@0
z;Mkd-=o)^1j{7&NH})>qu5?x-T(PB8IT{Ufs0hc1L=)*eLJo<F6XTQK9+fEg43$|A
z*p9su$~*N(+ZN!z#ShMQtW%eWDNpKtqN$C3T%D>5Xktu9D>}N}KQwrB`u5I(5Mp2b
zv<7wzEbl)3ec)hPVW~2jxA;cqUkxqf!MziU1%NM@y1qD^1Ki+h)@7CX5$G}(ba{b;
z6hCRp3m?Dxh*yNtWjhY_9vcW|@FSSaWkKfht$DHCmC3^lmc<e+wu|<%DN2GxfE_hG
zD!O_xQGq--Y>viX1zpxxV{^EwazH}SRmeK&?dPK;-E6@CfrD3gc6%*2sHlCSWnL!b
z<=bhVn|hu@xPyX#f(b|^OEEDIjV#vqax(%P?FXs3N6Dm5nHCmcSW+&srDl{WNwV%_
ztt1lY!J?~6{-50Gkr;hpE}q^iDO&N%(FOLBTy;@ml1|ri{XYvz7TTStVw4?Ay|wLB
z3$A?rbL2FPDpd^vql<Jr#bQlt0+g>Lhl7kwP0iimoc!)=_ixAtwEzs~N1!$nA*lqk
zc1waYuVygO9?ZEagAfKkmN`8w-wt8S;cbrZa^!)~`Zmi_&94>6!i-;ZiQ)o8KG{}i
zRO55#%V`<0a+S?>F263E|GuG{IJw>z>yg^W8Gd}wG4hrBh)AM^nB)f~aBibhat6*+
zQb^<c*<P0PEKuW2FTFleqORudNEEer66Sp)5sz9A?=l1+K~4RriQ4Y|2+exC09ztv
z(ptss`cwx<W#^0%2xj#PGa|ji=Coum755)b*b3k)i4yF@Ef+Ndx1v&ISq;)>b5qm0
z%dym7KXU-lARzXcf&!r+h1MM=xcau?iS!b(VG5VSUn@^2Ex>O|7n+gi+!<c|8c-v7
zyIm6}P3xTB>*8dLI>%BkR9_Dlv+f1s;O4&=1;%tCMzcl~;!Kk4dbx=@(K^l$H}!4u
zdr2qs49w^pbRab6?6ldDVJ&CLa;E~_<|{G%1Li9$DOcQpn1?xOiNLF%{DC^5S`mun
zq=Tnt(yib(V!jS_Pz;ThB9|)1iLGF?a#_+M8U#VR`^-Sr={@$Mxi#UXAU#XWMl+{f
zFUSKcV<UtAm8|F5-z^s1S=OM|VI-INqnHekbSLzllBXB^%E;MBXC&zHpc%OSoOkvT
z8GC{b7KpJJT^f>Aj3|wqQEJQ_|I?s>DM#Iuo*<kE9B$?`R8`X2{jKVLXMH$O^C*p9
zmT^@$12xA{L~l>CqV#i{3I>{8s8DAI_Bx$;!+oF7&7IV@WyY12ev}Nat1rtsv?O)v
z895*||HgCC!)d?>P6(jM#%@+XxAd3}n4C%59qLr)L<n<E{j+N%akwG_MDpy92xEo2
za3^`^9liB`Gk4#w8|os?a)9^VRA;*vYU=*6{yL+_o|vA~5tD=~^>HzgO9&aznw_08
z)7wTYR(si;B9WJ_VFYjsC1<X+-dcTHg(-La@{a#e{u00fx<G;nW=JXz%1=#!d=}0G
zda#NMMFp1ETUyW8Wq|7Gpt%k`|H#QR$s(|w!~c)erPbJBfU=Z0bD^Fao_a@5NXl-w
zAyrnA7yT^T!4!;3z$(krWqR~G%$?5{F6<l&K=`$WNd!sVctX=TX231s)KVf+oBybG
zqRpzLqGA@n67e7YVqagHpd!JPI*iJa0?J?4HH}odIxudwxhW|g;qPxEV6n;2(jnCO
zUo5Qd!=oyCY?*q{tpUq8;h*T8OSG+AU6)=6VR+_S)3UV{dLJw$y>L)QNt%3~Y?xfB
zD>y!&D5VMl!AGh833TiqFWB=J0rG4ZE2ZZk&pQCCnXE7Yq9h`VE>nMd(@UTB9*_L8
zIj1_-M6c#S!Pgk9c~eM%_FBTh24&rpfAM9kOEkrt9aia)hNY)lXqup2gCxy*(_0c#
z{6nq+WAEa|`FU{Y((@>Y;nf-ch#!>$huK7`a`d8`{iok9%OhsXR`rsned!5nRL=%2
z#3*+W_&nHu3v>U~x;Ql!G}SCgO|*<Ys|E3BUPqfw(2Y{7MH6*jj&%&%0?cLr7V}88
z-}qJTWmRbJQC9sBeAy8_WN9G28(08LeP3YDz)Y4W$<5z*C0;~*Bt%HWq|Ht(Ff%g2
zUeiR^+(^$;eY|k?Pu9m+#qYy$a;iOE0R%Jrw+E^sM<yB`BoFq)PTERhvwo`@5xRN)
zFkWD59Isl9kf%~iLR6hetpR#5lhE2=WNuyQI>DczJr)JVxyD+<7MM>w_L=ME?q(3J
zx{hee9^%$$eXzkP(w0DW4j|eewDsT;xD=LR=WP+5FnQDCctzG-n5vpbvEW?pNcazV
z*RP=|IeNntapR@vTiccIwPiEHZ}DqFlew=1%imot3heYi?n6tQq@dJiq*kU_*<96?
z4<~}oV-1{YnJYcYbHJ9YO-3x*fWA(GscRLxrItbqC9WyW?R750+vJPz!1W39(oqo!
zM#XR$5W-Cq+W&M*N4oRl_53HRp3*zEwW)2N{wb>I4CHWM?S=}eE&}JECY}2H{<n&n
zQlawoIEj<34ooW0iiEb#u}(svqKB+yDVDy{ZN`o5U88*d3;@BxH@5)9t6(%Vb8WYX
z_NEp7pf<w3D9=~)8AK#v($w49!7!B<S6!EwL*J?$H?SB}-b&Zv`wy`!Rx-I^7D#tI
z@iuzEM)!=ecx6}AN#oompa)V2U63&)7-AHlzX)QUTVX`f=h|CWIViTifj-vrulffa
z0h<VAQiGTE7_)jA=O}Am_xG#)1jMZG1c(;h9iLjtZoe!gPUK*OeTBJ*V^8c1Zsi)f
zj$tizzXO=6w43|Jh1H5>8CC8Iv8$1(D@Rp&Txy*VDkr{Dkw9fMBOSY$uGJpPu%cMj
zWs_Yd#>cuaE*RBWI<y~{kW4%V@oNqSxca4K;+tJ%Jyv!HS#}ZJ!^yL{Z$LDfFn49(
z^=N(jz5LSI;7;51s%zW}^}_DkTuP|O!K{O0`|v<$Wy5~YnjqU{U}qkX3j3H{8e#aw
z4!UkvOqXQNVFXV~H;(l3BO!qlOOwILksfA5Ut#Si9%Z1bFvkbf3qV7bfm)%@#a>Q)
zJBho0_Ig&itVEN9+w)3T>|mgdZXw>)`LRa4oup*#RiG3-1t>-D&3QEXyM^}+V&=Gm
zQQyveK0K1O!8@duACAn^i5T{tsnpEVPPUPrD_m&)D+6~me(J$K@Ww~3km;2!Nsy4-
z`h3}kL=qB^m8$(Ue)~*!I^(^%$^zLyVGrM~WgcHXodi_tftqO!o%S(7LU{rMwdNAu
zzhcCka;PrWCJCrY0(uR{g&R=*VGhICJjq8~(xP<|m(NZ^B1WWzN^1+GIR~uie*67e
zSvGo~@L}`dwV`^!%}?rJfg`X$-%UD3Jl|!78F-4=K8l|AG3!%Z!U6za5bEOfronD{
z&zqg{*MD?;K+Qqep>aScflWUhn>}23@mKX6gQwRK&EhBOvurb#E=$6Eyp_o0m$>6N
zSDx=U*SN5W_R-wHui`d;%ngefh%@=5OZ^<6H<q*{O4+Mhsjvavv9ts$ohU`Cql0s(
z*MN$r0T`0Nd<F#f$4;1_mW_XsQZWG()p{@E(moX+T88GAA0@wnye8{NS)_tEB2XcL
zcRl}_+V;UY=SzM++$Yp4pvY)j8Wnh4U!%gCNuY%fNy0u(jqD2zJA4P?R&Tlbj*H%+
zaXH<~SH|4%i^)<u4*J<XL&KnctB^tfFn&1H4`@S0|8sb9@s_XsZnOii0LL$#yz8kK
zCFk-~C06g=gBX<FfNVr<&`9_1edh1CLrUNvbfe}b&63ZaYRwt*w+U+a_Fi7aa6IGi
zw`ra)*#<Y1VdqP(hCWcH0F?-gQqYPJXoUgfk#ooEyOz2<^e}eaFH{yERU^MWlcf0q
zjhpD~r6JwB*A#uZ$MU`$u|USJ^X74bh3mm9cX)J=d8rckS@i?8AF>{5me*aBC;tF1
zcg{a`;&@IrbW9+kVEj<0F5|*;MD$C$KU$;tle`ZV+_kc`#bww-U4obz<ALhIfT2|&
zJ?C@v`)miIj*wk}-j_!>xwuH<^}eL!cj|ShwBYp-CjP^TkZ*Q+3Udicj}cSF%&p>L
z8>7+PnC0^&d)ad=WH5tWvKp&{5$Xcbivj0^TL3Bt&^oNzqD}3M$ls*oQ=?_ZLutAZ
z-|+`OIP{DO0QQY;RQN>)a8x@f1Wi8Xs4z0_aAt#DJo(IR{$U}x$2Wfcarv$oe(_@H
zh(m_<f<uvWF|NmY*swYK?^@gdUr!!&Tsg7B8(w84(UZDx--mil?YrTPkqM=}9t!Fg
zQOk`BYr!7u&eV!DJWdp`Z<mK$P+OBRa;EM2tN=(t16@B9M%`-aalPb}+zk6VJ+Z$B
z5PcO51v2`=Muw5=4vD6|Mz&i!={&UPs{r3ZIE$@%>j~pU5?(sI;Y>I-TiZ95j48K0
zw0n>Or1FMXWrx*Hn0|dTZZ4thVeyBJiOzvcc?2-i>7A%n(xbU2!T$FNWi~%@`c9nO
zxHslAuIFN0aw3p6t{GP{OI=NciigZ9c^=Bhx7okm1p~6aRh7eHi>A+b`nq582iL(P
z`fJ~qwROFX${q1H@ev`9(gKxUa~{u}_!QOf{D<W`$F_W7ZKxevK@a~RdsMwf_mq-4
z@pK(*Z}`2!+}gH}J8bwrM-{A#*0C=7y!lbqH0()$Cr%_6>`Ck?cyk|@5ERH83!x=<
z&h+O7dYVfkyL-E6JGPL(bx#FRB+gJH2*1HRu9p*&7s`7K?i=4Kj*#6AGy*^V<=bKH
zdi$cD=49mnS{rokVZlU1kBkZ`QNbbcUKL)pYhg}aT-?Sh`%H1gy4LpX7g)Z{^Nc*k
zugJg&`x}Y8X@~Z7x}^0A+2E$9A4{ZJGUH6*f3mm-`2|>UC(xEO|6(_FWR)8d7{jMm
zB|k9#pzCT+)a3agjO@9Aa{{LVw_Ov^V55BuXvq`vEBnlws~_rM>Fud(l&Qt(VYc{P
z&jt(YYJCridP_R~PHqSg_Ys|6t*Ee_?<x_`;mg&~*tCC*)`E7T+xSv;Fa-MQt9J_v
zGZ1le)UDc)hoiTHR)DwuO;t%L)4u4_PNl@ZUNux)f)yJ+3i1dw0|+OcqfT+=u=HY!
z!33c4*n`xXClQ;ctQd7`OS<1aGG0;ndxD_k8T*Aspo%}I{0ig&P$M1SsFS7}FVcPD
z1<;tnVMo98-EIBT*0FLr0=z_5k>u*T&s8*W)7=B|xY?Gi!zcYs49+AUpf8v80!74@
zkIHSo_ubgT#<4H;nv%Xk^=&}P2XmcEJ-xpC*8BoP`$3P+FwEp%A8qFbthx?qSKGT%
zmim9yNwZDXC$)8sQ1rj`*lScLCvMFsXb8GEzVJ5FMeX@6?Fe<b^1CH`GPah!EXSzA
z8$R~u>Z>=-5DIa2^P#xj^(;*ONe1lXaOZbE;B{?wP??JqKqtid)(kxe3=VdZ&$V<;
zMn|s((J+k@-XC$@+i8-0XkkE10h5D0^`XmUirl~$XQXEN)<{SIy5p*EJHF#zfCNz1
z24*o`%^S1Qu66H3!tUkcy8|?ebJ=P}J<XSfgnN3QdD-}bL27{p)*NP&gL}T)%2099
zSC7em&p;F-D{col?FmfPhL@#Z&-iV#yIaMkQ}SP5-i}Ea9%Y05E+enM#Azq!u$JHq
zDI?ZGQiW$S4$NO}Y+f}0`Pb>rwod%HLvdS8u!(5m!(kyF4Lt@nf&O)4UJwnL^bTle
z|7n5~)HBawuqS!awtgsjH+c<fGlhzaTqCl$42r?xgo1qV=hmpQpoR*G>H=wNV>JTA
z;<F2Cr<%3ICp6+zWpC8Bj%-x#Dunbnh^0Gg0VM9zqp@wgKifKAzOi;{QCAMeGvZFb
z0xX9vlUeDT%6JDzBE`F&_d^0A(t4dtLH|G61SomU{zKyUJFbf4q$HqL@=M+B#aX~&
zABVFnsSjz=;_orX(<(LtLReL2a8IhPldUmVQdv#W??v4x&jGywvBd7y{m0?q+d8Ds
zb7G&@Ik~1P?_dDWIQ#0O+e{p~r_jmRwK|UPy&EL$=s#ol{}^`GS*)~oy}>UrryO85
zi@u0)s#4J>(%I@X4LB*+Ne)6iiv9+&3YJDc;ym=F&nNO;L?MX+nq6|r@=}V46GMF}
zf$QS~a`L+--oJaP5>`Raa~HNoh54!w2|e{w7V#Fv8dODR&SU}S)Wnst)M)I-@Z;N}
z6KAeaUSGmBLEo0q)1F=9*TJawOntOs@wz^SeLfo!GC(j<64;&Y2Ym4}_8hQGGO7|D
zL0Xv?I@+Ale??r^`qCwMz&ov;PEFB*RNfys3BpNZQ%{<UWv60U^=V}NAE31KwE*;~
zUpaoVQMTI*a24A|{^@`5Gt9ACB2mE8`hrgNGdCT$*CFAvopYEfHF>Y>%XMY8TP_~d
zyp;b>?46P=ce+@S;UoD-M@dpjF}kwYT+cn|#^8YY?d4q~9oAuxWEpRuj79YNa%RUy
zs;Quwjd^ue*7z7#V>bI5?2|{Oxpcn&Lqbxr*S7x4itk{;g>_*?%&^(s)x*p3;!7`w
zVQmg-7Lv~anH`|D`LO02{*%YO#trP5C7=w%)NzHF{Z0J!S6TR^pw>5s5aM6Lxl3fd
zfvan`F-6=6lx&yzwe6I$l{Fh78i_dmxNA>^d!2S~Z|_y005iK(?kARpUzp{2Tk}Ue
zbXD+u?XTz8f<`Cj`lE7mmb4|>>Zfb<FXb8*{k>DU?{Mf&lZ744WyV8bo~u$FQU=s7
z79M$`^pgiF>0mREOwCV(WJatli8+!y9CXcY$|p7GjnI5dD)=P42|q$&xeKo@ICEs5
zI17c%O-#0-osv-9M-KpvT2w5Qezp^DS`k>T-PPUQJ#Q5(9c5H3r_w&>I?ML9qg)+~
zNdLs{<sSlTBqg;zU--K@PrzmrxxGtn=(FnwMO!tz+<=YBOx1t*`=N(TnV1%$``CW1
zWd;4a>GD5WL}$s+yrj&#jSU?+2X03tMhrTcr%L3lUB9RGSn-%g=Djbua?2uxsmsdc
zmcJX}en_y<mrn+NEL3FVs3bI6!nnb{3IYSx%S9IToP@_e=~o9FyTtDh*q1b!{a_8v
z*_a*Y^SD5)$V)-qkwa&6r8cGR@qaBfOi4L(?&CQbM$RX5Yrl!PVJ~g9sfKs8oz}b2
zbSyh&X3Fw^wYjxveh|kweLa~Tul!e&Q=IT3+oE}mB9Yf!-ahk}M-!83Yk%P0!)($z
zlI|k<_?1-v<Bz{L+KUA}KRDR)_^xL#*UZm0OE&Ate1RDgNlQ)_!oY_o)w(7fAFD)o
zX=%ETYa3`M<K#1snFGC5l74W45}^`pMb{Z}d+Pm10!Hj4Ws+N^fz%YGfbd7b_l|74
zUGjK2%Qfihc`C$$MW+Ka*1W(j9}$3TMcE;-tU*Gd`?}Az@WtmHAX-^##e$Vx)$7Gu
zrJMewG%f-29)EU)F$>lLvIc<-gzCiK(Yxf;<Al|G-q=wVdvtou&7v1U43$906!mme
z3yr0ZEq_O4tb*cagQpFRP5}YopoA;NV*_Au3`?%VeuAZ|GFXoT1hG3Jk}ZLn{sR`L
zzMk!v8w_^M=$x(7^LH?pRvF4%Tz~Yv8u1{%1Dmw$o!tIf;AK6as-8~Y3ID2Hbpeui
zG<`N`_pqTPm_27{0@C%%FBd;)+`09@G^PrWP{tXRd#m(ae0wh+^LNdpefdSn;s}b2
zB-Eo!6>VPiR_;Fz@4~f#hdr|F5Fwid8v`96?ci~+Xt^GlS@D(&4s^p`3fzi}-a)GW
z`W{0Izt@9&waIDB74MY?7n@2Gb=J%~YLl`3%jP{FF;m<I1#r3H!21N_y*n{Nlj*+a
z3c{EgvlrH8_S29Q*yT?90vP&})0&}9rusSW!N(4>$v;``gU&82`w2ANQgcPj_E}$4
zt^HCsf3@gnCv8wk$LOfhn4B@<PLMdvDT#XrVe*{{SAAq82px#Ia0OGtKc#qgk-t*w
zt82^?+Y(<A_^xO4^PPSDFSQQ)b}pI@WU@Bb3h2rKyv4QaN$=+Uiz)ygbGy;U0E18{
zN<ljBB_>7fT-E91e+vrd*^2><O|m+;ukrbB{RuyNQhvjoC(UV&y%^AunH;xr6}{A8
zo0@^|OiPG}^{7qzfCA}U2eAUg-yAk>&uuTB^Y5(qun>q3efB7zU*cpllI<s)-$iV&
zx=^X`Da+*l^yM~RV7Xyh0NQJq?i>(Rt<o-=vgPBRTnjODuwC7s*H|?FW~t<l;X~i;
z^l%58!v5mx44>m7-0cten(8k(*qWX}{h~Qe75hm)qnlP;EElo_46ku0TewsVj+|I<
zG8&U`bOd>E#FHK+;?(!67A7+ic+AkBLwDjCp;zx5&AL@X2D_%WgG7h)s*`Z#D>Hcq
z>Hz5AR4VpuCsh8|7-L^m73<WpI>>yr5gzKvzPQzGWsIFc+v1%P%>ik`YX~G^VdYJC
zW;1sdOPWyiK69HyHZwUtO>hL_jOZ1$H9(qxN3)~}A8F~nlX<zdj{igJ4)D@1G*ir<
z3}-%(&{Yo3{33oCZRGZ;EA?HC^4D0P<^)h09EQp6*q%4%0i{7)XDz_yx};kBJO8a6
zdtmPLvfxJ30iZ!mlgm%K@f>tkVeKRpKvyVsuD`|KM`X>lAT30a9UGP86=;$N$`~N`
z+1g?robV)Au&ZyI*W>X`i;K?lC*{^Ltk97cT7MASRyQw^gb%lzYzNv%UbFbE{%3G5
z`jB=#Z{h5~*yEZ*2e?RX`FZPGTWD8Z<gi2`A1soYv}BT2@@x4vrVp(=EG8jQRjdbk
zK<imnqz~?tWBD^h8=Jig)pJ#Tf(lL!2ZaJXd7SFrIf#B8EeM>QFgRx(?|?##&fW>q
zY^3y)SXETxE3Ia7mLCPaU$p7ec{j3n^_{3~G@_t?O|NI5B&w>JH=mqi>loQEyn}21
z)ij(OE@NS>F@UHZ?odloxikhd4_Jcb!2R@QYBi*#3)6G!duYUV(4-FckNP3;ZxP{n
z3e!1oehB%&2smR&Zo=%ej)8w5Qd^=BoHLVHY`KWOzD*YH67K+e7zjT01L~K~7HJ8H
zt5&4u;l`W^bzTgsHffGh=Tyw+VEc62&KSd+yfNVVpjKcL8C^^^<iUZw=gKrA=5y0S
zwsHwUKLtQ;Er$TbO>C`-uA)s}m;B@&E)7cDd|5$CGWHavGWKH7LQRg7AR)tNG_QGM
zFoAK(ZsB{b^N%K(efnZ5z#OZw4gN9b8DiE3ESWOBaZj1lN(iSz(%P0sc1s9;f9W^)
z*$hYyOAHE<nMfQP>%W&Z^P(r;WZ+OwMI}T;PY}+X;8?Q)!{@-S^Mp-(0cQL0G^`au
z=ytV;9~jAkO(Y2z0MFG~2V`t&A60afDhTUadMdC&KJj~*lzJ>()kJRL=ME@1bYeiY
z1!z7v#gzVgmSLk&nmijoaYPSV=txp07aK0lz`6rd@9}J0m-aSDZfEtPZWIsrq+kP3
z;aWY8KV%$N*)KfL2%67MZY;zG$u3t{NQ#er8*lk~ro`aaiQfcPUOi*@{M-!-X?~#t
zNy1C+A4Sr^jUsSxyEXSAin5AoflDWCWdS{!BL?GPpn(1c$mlF)(SKTs8H&7mZ1?i7
zz918RU2@%K{0zxnd8t}*h9&%lS9Jc?w~bW(-GCkh^l|sP1%rVZS5ap=TTQA4T&9C_
zF5(8tWFW%eab6X4R?+-u6@9IL<Jp1ZN0IB5#f@TZJ9323hlhiJTuI<a=n+Y=W$$y#
z^6hxASnLGOC3`p+n4xf#H4M`7e|8(%p{xdqnAVg^#K`P2!1W(GM5z$t>dbyzTcsoN
zzN^&>aiLCz-hiij4bB~toJ{fP-B!YD8=Y_MhKEd&g}JiiOMPXR<zxOHQH$vFS479Y
zflseU4X8Mp?V34cq4hECFY+u=;f>?9M*EUa6A>2!#Rvh(`5GJ7yPtXIaivumyE-G@
zK!F}rK{rmX_6_c2t&BC!w|1V9w)QuZsgBzi!}h+NFO_)AplMR&xBF1-vh@5?Y;eYE
zE=gKRX-xR*Ov~k1`DgCgzq>w@%WEnUe=F+JpU-L-U8l}3^;UNqXB7PQrH(L34hOC{
z)JIaBA$|3+y`YLZ3Zbp$!b@X*D?j{G<Lb|bWe~9pjJsi`#@2&h<k2(cuH|C>mI2AY
z8gsnF_0s^UE7pJLp;0=LJeziE8ynQzd>JQV*p}oWmSITi8FQLmXEm)}bwmgAflST*
ziBA0wm&5u(>E;*NV*eiBHiuPk`RJL?YXQ+_Nlk)ghLN}xpVTZUZ!v*5iLl$ylJxI5
zi`{5DcOoK-K54uoI*Tz5J#z%P4CvZtlSAf{i-tW1Gx|QRm2&gln^-BedGQkIJrTYJ
zQGQ&Se&c7)&&?IyLSN#D0ZkFYM$66PUr9!6^v92%@984XoQ1fAT9g;0OSo(uqWLt8
z;KBqpnx=s6TQO5^4ja#=rl;phN$@Dr%uFD1BSQcS{P`frZiX*^TU8TE6ngd8h@)9w
zOiN0<wd%}_fFKsmFL7K_P(nO-iU^EK0t!X~tRnJ&6dOwfKLw22^XXW>@0Inh_<ZMS
z-X3&z+%s|n{Ou`xgH_GZHK42SZN4;^!*fT<B1NM8eu%Z<RXAT8d{snzrQ29`D>>5N
z+r;(v>ie8WC4$GZ!<efpOqm*>^qM?fmRNxwJg@4YR@4F8G>r-oR%1%xf}}X1BF`-&
zNG{6=p+?I{NJGEta?uAXqce<SOH08>o*Bw4Nq&E1SmpuBxNMEn{F@I_ky4Pn&79>&
z&dxPRm^}CRX>~V8SA*k){P&^ChEBSTeCzn^<<&ewLS7#>Oq|bU1eTi8aSfrsYH937
zI(X-lF*$ZUl>#kUYfE0sC2V9pQX(aNuv#BHo!TGTqt^1~+#+g^aOFrMK6|rgLw-MY
zIC%BTR~e`;d4i)kbCfh~1u5{>))wT$uD%?YndW<B?FQelW6TZ@iAaSQ2B9KIja#vS
zs&8#CXwG{?1!5~nd<`2|q~AA|hBMU%KIl_EO#;@GR%?V<cu3&@DMEfmm6WLLbChbz
z;U|udkN2Gj`W)66f|~I4eF&B=?RxZtswE7aqpQ__HOw`G%q3-xy(DIYEI5QkN;LYp
zbp+1@b_5@wL@xt>C0Q{U9PeBvp!~lTb-lMa=y1TnL^|B3Pu!xO8T2XpOOeY!ft2yf
zp_O+P9V3qljOv=44zI5Gi_MiiuOJH9GTl4br7hZVG_DgKjQegiw#++7Fmpr%_<an_
zeDHt+E}IU$+O6SKK%vD}P(fJH1GP-yO-VHL9D0)i!VVy)Pz2B_30=z!(k*3<c+;rT
zfv=!UpE*9rDkBo9$Dk|mGa1;BF=ANlX6>yOVBi&%+Y)H<IS$Op+Z6nB6>`53G5|V0
z&pR})9LI=`;Bhc<O|aG705sl9Bjt9ic0+}%8B8yPoj-`}TD$=OBey3<0A0Ne=q#Iv
z3TQ<qk9xhhF|{(`T=r&Mv7iHNOqN`?rZyIZk{qZ^aHwz@1!E=|<#*>DB<jCeh9K|6
zX*6E0r`lHZY|yR~8GOt@%UmT%D6{Mt5=z8MG8s{fv9gCVmM!bCu5Z<wZiw$7iT`4s
z{>uS$BOSVfXv2kE$ZI6DaOgE`0<#X4M2KP!)wH(?8k~bPAa(MlRU_TTa?mI9SrdX;
zGwI9GYdL|LLV>J*%A@O@G!7Lrjgg$!p{S|<ncO32qWFl^Md_F2#To-Yt628JhOD0C
z16ztNEYYmsw(JMKidlR#LW|2rAbc`K3r-(vOJ4oY2Rc*_Ob#E;2PQyXLd;Ko{UneC
zeB$VslYHIBt9@4AZ|BEHDiQxLe`LZu{c^^QjTWF!?^KFi#%7+Y=<c;IfU9U)KlQ2D
zZ@jxXJtf5?2$;vq7_5kWq}$Yfue07aOc@+GpL!QD=dF=(7KE7hsW20b9on2&v=!`$
z>bq55;EY6S@)Yxlb`g>Iz8D`z|AJnUE&0SA3e@wrsN<=DnKb$W_PR~Oq_#~h5~>pG
zQ(@3$?HwXtFXd_*b$sJR)5Wrn50Yz`FK;ey3|Vd_S{ht4A|3iEZf3RHc{VoFIO7gI
z9cj=OyvSE<m-bB&o${fxxT;|6YcUu5aRd?VZ9Uwue(msDKo@mp9qa4tvRUkg^rGlu
zd+3<jI}e?$@gz7Dni}{4i4>&;meHqCGXj(vy}R1jbEO}DqJ#km471Q2)L%Uy25U%1
zpdjPh3#b%$pbkQdhRmPWmo(2Sy6})wjCv>Riujv`ii{5}XQ^ga13NqeG9Bu)N12B|
z@`N)FD=r~dlDo0U>5^#(NicoV-jO8{VnC8Ns-a9qHlW!Evoi+<yH*$Y<(vI`z_jD@
zt3sP{kQtS{=6+MpELj8G=)=nA*ySqGS9FpCV29W}`>s?+?yuE>X4g$symfxt>+qtF
z!<fVoz2F6rk-d^X#=PG4t@BCgdCB|`m7xZ!k(b$fm{RW-xWL{rl~;n6kT%u#&)ei0
zze--~yXs<E;@n#HnQj!<f9=)ZmXHdQ*U6IBvm}O->#HD03*BvVE*Yfz;pZ8OJ#0>A
z{HBgrZWxqmE*M`<bj>mkg1l*KM^@@ULK-||S16liRR&4f{u5q62BJsQw2L4E+g!(b
z78|O}tSf38w_)ku-=rD?agIr;Vbq`cjmf~(R87pFBEhTg@C8!iPTTstT_V4O4??Hh
zZjcdJDgt_PAp2{Uc<+J^{%KXwAEI2%*=+SbA>yCDjwTQjH?xCH(1Lm{Ti9hAqE|hf
zA-4zzEciH-j#T$n2D_QR3=4pwMv(>xe+%lu2s4m#hQZL;@a;r`CW5C(mUN{-L023W
z3A9+wL-JEseiHBls6*}oFg&0<HefJwQeZ56`qhJ9?jO0WDRsxlexRGg)z{)@0e)d2
z)oOoAcO(SUsEf&nU4$d4C@hG{*q~ImoLs)#+9FpZ=dSR0jg<SC@&n23wiwP2&cFUv
zFYxV;1LhoKo6NC#I47d$`Y&I|jq%7Bm`2mn$cr+2HQ66=zAoDL?78df#2l?<*u{N+
z?lYIOk59J<A50JVg?cW_>Vl4(Lw#q?=PY8kUxp{jlT-__%{iN=@f@2dkDnw{dPypH
z^S@3|f|rO7Qn=>7#ryCamER}3D0mUm`3@;nQp6s%dds)`?H`NPC(gWCi9%s%1WeeP
z5hW*){$#j#5fm0ir(98iP69$X(A`&oo37{ni~IP8BlG3np@tGBccZbG&(e4;xvQ|S
z5c$mhPH&>T>JXIr1agIYCDZUh%3S3;-h8Qte7%~j_OI8>DE=ukcP4&CZ44D!e*tx8
zO<~_?&peqw;%IB#)gkjBN?2ja^jU)pQ~2YDESO*Rd;M7B`_<-y-FXvUoTX(%?y-b;
z``4Jl+hE;eE22(k>sn}fgZK7&-rE|VN`u1W6jJuTH}YdxH25vY0)6tRI{t<vRc3J4
z&o>9-a;RTq&-(hhpyp*B@JT80H5d0&OJ&@*!J~Zmx@v_=+UXXlN&-qtaKP+i*@UwA
zt>ewc)~R!CdPa=qG;W-}Jg6HvqDaInmLwH|sCrAqwXV24x_t0;9XJ=0CW4y9Zfc;*
z;uUt=F08<+$yekg)13j3cAG9d)|bMGB?O74x0QTh*EsJd!H?d&@wPY^>bU$zT{%^n
zu|R1>_VAHWTjk6O1uNz`wpS<oavJ_b!B>20MX_^aF!pD!@sFmLH#ck1f-cU^LEy46
z81DJaFe&bQ#Dr7b(%w_g&sT|cRnTwD$nTq}{H2DW<85)R+0k;Ka+%=!FznFgi@Uwi
z+C4~om{zVrJfVFHw%#!Lk%1}BGuIjz?cC(ZqvuwqMm5s6L{XC{phbpn<Lb<gk=<n-
z7+5w62@CSyT$u~B8UOX<yCYz}m5dV!+++e@<JJnjH~0Kg+GdMLlhxsX>#9uNaBIf7
z({74|*>&Io<ZlHYlBwOmj*g(q<J%$w84YV_Go&OWNW~Cc`jfdiz+(Buu?Yr!`>_7(
z2$!lT<yr$m^l9=+yuStSTASVxuZ1wFtuhhNUgPV;t*=}8Yo3dVjk%3=RifT)rI{#w
zxylZAY2wy3#zydpATD|n%ilTrNj71Afj5#6)|o>y_f0W{O1D=XcqmE5#sx7F>=u!o
z<?HQpfxf%M)H~mjjJ)Yj?pZ+>njsZ|o|FR~da~h;hy7C6%&$uh6ewj~I-j$@^jN5r
z^)L7K4^>#bx=Zy(j@oh#%bjQ(fkbt84Q>qhN+SxRq1{Kw#of_$0!oo}lXXq91PJFh
z3`vykza*WK?0`FwM@KOPsmnpkiScn7ZJjs<u|$Rho8Th;2aCtUuK8_znNQx8w$+^?
ztv3yL^*ydU_VM#)_<v`_EbG{~XMmo)`LH*C4$Bzbpm{bH=HRfm2whuU^ecF6Fta+3
z-p+{kw3nsh==koDa`<?IKbg3qZ6S$LKJc?J`24r42U}oxU`#CnZc*noPnruMjCtBZ
zj2s~)yq(8SsHIeP{Zj7?YMggGsQKopj3G7Zmm~?vF^d0zG}Nd~x-*1^>jdG-Hj_Wx
znlR0GYTJSlg=(R*As+V>os!qe5On+}A_xLZ<AMVnZK(#3q`<Qbcue4~s(cnCe{oPb
zgtigLN?^^28WqvJXQ+JT)t!m91K!7enSbhf{n|xnjCX^;=%CeW6R^|R8rl5hKtYJS
z&$v3KXcA-WyHJg^oH=0|-!Yr8loI2uHgGnOfrGEfpQz)<bXF9#c|Sl$(((3-AU;06
zK%-)CFj83vy1d*j2)~N`AME+B`!u6k@}VtyJ;A_GT@VfEa2B%iZK@d#3RwMWx@j(k
zcY=qk%#XTmS{}>23UxeGb2ayrf&979lYMusv#&TNlgH=(&d^CVQ8A5iX^%HinIX$F
zpFg`!Qxc1Hjq`G{&rq@$DxdG)61ANv;I$a-@N;1*X;PVwgKO7EPk@0Ugf$GNH(iNB
zBI8la>>x%d0zpTu$f4UKTi+>f@c-O~g|MB{b-x&U`W_e5EF|fKfU>cGl8>|d%52A6
z{AInQ%erad1RDiT0)fya*|_nTXMP}8&xsd*>8sVLvp|FI{Cm>@o51iYNiD(1*G207
z3Q0;zN|nefkwX2SAoxmM^L9I5Utb=|P_L8VTwTmiB8H$}J+4;RUu||L#Oq{mYjBlJ
zk&sf+3pF4_79-$l#4Tds_2PK<KL?B@x568)NUG~(HUy!k6&aHS943X}GnkO+I#eY2
zikLc19dTp9Tja#60D+W3QUI^~?~LcFkOD4ZroO^-2>NlFwvhCei3{K6+<Rh~a$BtX
z^LKeD9~E?LygkQSSKOKtn9ny!(A#vPrh4s4x6oFH-2KZ%<po(Y{^*FZMxA^mv=gTM
zVq5pJ9s5YlNYyeW|Fnb?;t>=S9M+AJ>D(eWx~3&d`IeI)QVecdxg|Uso<77dDr#R>
z@W~o6k`J*g&hYiN#ax2&m#4)Nr<J#y+833{WhGga7JMM;rv{*$MMSV`l-|AIHPgQT
zT0Zi+Z9=RI47wTMYyDR&(KOw(7!(^o_fAs>N5ySY=Mtw^E-%gvM;H{>t2(872tMNU
zeoQMRy*@kX4zIUi<~dkO_G*pj#$bywUAxOi?GmcxMpUVtv;w8c-`36g13-nvS5PSM
zNElgJZjs(g=`6R!1MztrdgTu#V9NJJcLW!O2X2t7JG8nwKOh@Dy`nrq2MQg0<$<<I
zT7va+0T3rA(WT4L(}5b8*TkQ@qg_1J|9<PIM)@D0<G<4s|NEc+cSrs2j{4tI@c+sw
eXy|8S?orqN#o?5Fl<hCTFO9ppcZzOXJ^eo!+Gz;@

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_static/images/branching_workflow_diagram.png b/docs/0.10.5/html/_static/images/branching_workflow_diagram.png
new file mode 100644
index 0000000000000000000000000000000000000000..60a9515d0f94ba3cc08d7bc506020263fc6456b5
GIT binary patch
literal 131890
zcmeEP2O!mJ|3|VnWv`?(aE`-4vUf^EDG3M1-p3x9*((u60}U-Dr9;RHm60+co2*0`
zS&jem;~Yu4xBI@`|9iXlzHb-jx1Qhcc|Ol~e7>LOcfz$aRjDc1C<q7$sMXb!_7M=Q
z@gg7~IzmPQwwOh)RRF&TG5b^%2(oH9h6o6f$z7BWy4ZP`TiK!s_z{YWfANdJEFCZ|
z{0Jp}5fPN5qmY>u%EB3ChY_+zyMRq#znz1bmAMt#Z1ETom<U1;h7^Q}>%ztP5%OY4
z@B=0x1cM>;7mr6-pzU!N+~eS7WowJ#7f}%tf`Lm3>_M4Y*}FJkEcp=%;Iq2D3)&X^
z2Ajdpy*l8>LGT|OW&{^A65j&;ly`KrMeCtWG_1hgsE8rNg%C)vSwKTgch7Eq5k>H~
zt(6TL{8B}m+BiU`C|Wu@*nur7aJZ-t4EjIVsDm;`Ia@8e1oUKR7nH@~Q+e$*(MCEL
z8L5bA>&xq!S<4>~G+%rgH?%Xx%E2D@@Ngl7koe*b7f(m@;#M=Xo0TbOP=p_$%ny?X
z7l!^J6meY%KG>tc4J~xB7U&&8_~I3;a9s*BH&+nVgY9?Rui~*w#nVaN4Sitc)$rG}
z^H6n0Ia=;<Fk9$2Gmpi~!bK&(13}MZ=84;akPutkV&RN$2-hyOLC4AqcSmq=x6p|e
zu2yDf4DRH`O)d@&wk}qVUvD&Zu(wB>;szLZMU=C%gZtNqnLF6x9uIenBY5(!t`2R`
zF-6&ayH(H1%mp9>f~2Sj?kS+7)zDTJmbjLY;<z1lDEzUw2f<jP%pBYoPhZ%yd{h?u
z5#O864i4aQ%LZ-vZu~)Z9*SsN2&MRL#I*y!^vBO#>I~<lN%G%ZPF+(^#1VFI*Itx1
zY_FY$$$mWzB|#*vXWUS>uDH%!98ZjkC%(6x9bE0r7UncSs)D<vl?z(O5d~0;P;v(V
z1KTWJ>}<g&IQSEo3|mD9TL)+G+1|k(90VpWgc(QFm&d?88JI6FXgn&Rqkg-4zjU%H
z8q8W3XHRfh-031>xURuL8iD)h{skUz7;c;8GH4+1kVfGkX|Z%^=%#;U+`uuoVgK#h
zhs@{-bgVigaLL6E`_+d8j{Myrk@z)6MD%YmBH}QBX$aQ1Ng^V#_;J}Jk-$CbS91hE
zkbj{$f^)3D`W!*vyY~BL>lc|La2%F?^$`(8;vVGtb3_F43(z$BYLfg<9f>6pV~bW(
z+AHRau-IpcJfL(4p@k0}zZwywEeK*1%pE|~Edu-E<B?9TP;|4fLlCnN??JIC9Oel8
zD{$cW{opSP=r}u+l|A?yWe0ix#h(_If>7LrS=wxGf`Rse%lx!WAbMW9)?%w*i{O9T
z@?xK098utrR_T+4fJYGQh9VxQR~(%eqneeS0&b081mPjM*kcPF4Pt}E>n?U1IAUS*
zPibqh1D1Mu@yg#exZ<$Y2E!bUa&dKrhE8ScQvWVpc(pVBJ?f`p`@fkd7?7M=*;_#4
zC-hesnxBaBl{4z6Or4b%{btrcnE%cM{(<@QR~Ul-aMn7bZP6$U#E3wa0N(|R{sM2q
zAlLWBb%=lz4sr><lNT;}%s)2?{DF)ExoQ#!ItzNJ|4Dqis_PbAyrHjL_lj;u+ndQl
zR0_zmO>I#ajFl-Egk_2N*ID~_yB}@#71i?FDJ<m50S5pQ*<~5{vg`q$gf9<_@Y?{g
zP%c((5NiN#22Td9l6C*cEqu8VEeAjng1f@;00?p1SmMGr$rVG3ad34uMdMC_dK4i2
zhiHc%ZV?V0xg1R{C}#__%YV=$0x*_<T3G7p-|iUP(F+X2?;ZIK5wR)=e}EeLV<244
z4FMBuE@6r`g;0xeadxml<5?rHM@2;f1}5rnP)C0=*oxqBii0gaEyP=-KOeUE8^E{t
z%c2&<;Lz;**K`6i^!<O34gVd}`Hdm_^Fav5JBwc)g+IWC{4v}4k8$9Vh{Z?6SwcMh
zg-67n0Kye5!dEgmzpN?z0owXs5H5tXD^20=LE`@bg`$6#FcOZh_WeeQ@sGjq-#Bu?
zv9IF8{|9j-K5+bwz5Zp5CmiR8eqJEC0=94y6dVm|-ruG_Fc?x<9;Bt;ubltQ(w~)C
z`!{jm&$qW?crTB`?Ke&Sy1@PE<k1S?!eA1ph3x#Byd4G;6aPo$?cbmXFBSOn!qt@~
z9=<X{{uO|`y6|O{%zcr9HUV7pLfuip8D(#3xscdGg+&zyXB+TK$Hf`tg0}En##k?%
zv3SjI>FQ-n>DMsEiI$dQ9=8c)Yh?k6`%Hlx3k~#53Xp!u3aHZLaXaj+%*-Is)T&(g
z5Av};Q4@uL;TSxei4&B>eO|`cF6pM0Q?_{V6duI?drcHzbiN^VRzL#}0%rgSb09wh
z<OdSAP^X5-G#JX>Y;n_4wRmB($pWAjYG*KafF^TWz^H#IeEij6<m})ANc9EDsR&@c
ze<Nb}iMSFJmlVRWY&c|zz;K_JAqz-bgz!?fzc#qwt2xXS=vpMFMPR$pK(P#vgxd{Z
zhOde(ZUKz_GR!P)a|MFXuaB|?>f&W3G`x_&#KGAN?JQ`zD4&F+25u;40YSm#+qWzX
zG7KuZ3E~VAbf7KT94f+rhHy%bl}&zE^0EBli~5G|HTvb!Fx)MIO3s&!2y=5uNd$<R
zzie83>b+o&fg;nFS@l&paY0g{XbCB@U7<pbJsM0v*y6kdf0zS-Hu$xCE-&>o)Q$hM
zj#aQlnc6INn4*K7ot2BAE!u5CXl-S0>WsF7G`k`&2OtfHp}>Fm2m0eT|DO)^s$+ye
zNJ^T6ds;b03XuHww?=3W8dR~sb3l@O@C%FwUUaZvN52dcPE4{;L56ny@dy5KME)hG
z0Ssnp3RRg`cCo568V!l2RxPS8%z~w^TS5yA-`SAzX|bahTpNTa4DebY+5l5zQN9EI
zg7)D=SzqKk00*`}gb#TM93H>uePAw@C<vzRK(!5ixdI74(8!~0K_~^YfW~>DeVp10
zf8#$q?fz5beu>ubeP{yan#Do{wcI*d*;~0-p@8!IE4#P4agqf8TXj^RwFloB6x`<T
zN>2XBUE%E1!Z?GGTpCaO0OMy9C`aRmaG}3}--gzd7(vTV@H-Yl;YB#$PhSdjmf*FT
z?#yI0fAzz|`4^v;us<>!tAj+`90nHHfPP-#M73O<!P27d!DL}f_u+*zt9h)&X#`DL
zFlt{UHcJD#Fw(f~-y7*4a3H|uE{`=tKzm=N5?-hC4@i9AVqa@`5lCDmWLbDBicg!D
z$ENU=r2GFq^ATN*Jzt#U-?dB20!U{I69M3hptW!KU$_Vo3c>`<QFd0q*e@Vh4Q=a&
zhVt3P2y<aS4n9zXY46}{hqJXHzXIoiFwqJHeuLx}Cm&t7%y*A7MM0~>R=t!vZbc5X
zQxr!afsob(q}dC?TPQ#K=1d1?M@y7F?vfCX3Qqp6$64HC1=cY^>kXlH@Y3eRJ%B;5
z$AGla4&M%L<r46WV1d}zjetDS?CaZFx|X0j+QbHgf(!St$SVlqK=)OftD7olutdbb
zfJ4Kz{Ey{9zZu%p0ni=5CkVP&TAA9|qcOPKTkZ}QpK95$%SQ4yk6VVFuZ{zWF^Cj!
zgMjZGGb@avEeeMpD|=fjutNmKYh~x?;OqjhvBEQd9jh;90n02D-s&zQ@ApOMUtH#b
zE_{XK#05D<3+pMr_MAAs{>2-9b){u`@}F|a#pr3prGQ(v!mR4ne>)a|?s=6i`vb1|
zM|*dfxBEJjSlzAs1>~PgCLPar;jQ^Hv%kcaE;sv7U=2OhUx)7!1GfX+(Vtd)`o8uK
z%HdU@;uElx&YlMW-wE+b3m*<aAB4p4AC(}@<<d?isMmj!f?6b|!BODZRwaPNa3#0D
zS#?WfMX70t!N=q6=U2Co5;#r^Hx<5V@|P_V;4!jnW<cxqaZ%DgGTaphX~lxIzzsG6
z3iTlCvCQs?;_$HC?EUp<ez6}|*7?VzB8wfd%CdvMnT-(_#o10g21Ib5|2!M>O_TVk
ziEr}PwK4yyHzAYqd;fkwf3y^C;W6>^UEPvv!@Ih_jfNO+)|a`uMRT^y%l$EHxV)$h
zmRbC(K>D(72wxk=p$IOHizxm);EJtK&Mhq~$2a*a*w0lL4&me7KMlCw&tAZ?p?}uO
zA;e0lGCt|Wqv+>b+;5u1uerlF`6~c-^#t^%E9O^N+<&EWOBVNc&EL-l?%yI*SQWU)
zKb<c!Hy2rbt)>~$1PQ&^576&W&iVIGwUBsohYvXMl_b3R`xAhR_o(<L@u360$zRsu
zB5}OLSE0gUdF#Kf58!yA#jAZG`_;gkZh&;u%3~SBz1SAMJ^|r)S&R)8a{#{o0fkd>
zIL?mXaE8G1(94)4JX!wNW|EMrF-iZHO#!g~Et~$@Wz+9g{eQHu_dWf|_mxK9)JvCH
z&aZ2OKgn{Vg)G2(j9_2x6lcm|f`Ut$nMDy4D3Re_x(kZ`kVI-xaS3ELi>G{1AbxQG
z%kKVbyZ@8!Ue6NJ`2mTSqpgGIqO=?ZJ}(Mem!1i#@w-Fia(4$;NP-3fqER5d1Alxu
zc=3rArR$3>9_;=~LiFV+mo$TmPXV+*t3BMm^<$_9SG>Un_wE>^_}4`<K@iritfMT|
zR+hUzd_ahg#{T!JA@P6RAN2O{e^o;O?F(9@WlEr5+x;yXwPoS?A5{%4sijvaa{h>3
z=*u;}e*fejzT|IMX?!xWWX`|#w5#VRe*qQFl7+<O5Q6wJ#<Cn@sVubIisBQCzmOIE
z>2*M~hn35Mq-Ie?13n!BdKl=v>Cm1pf*R-p)PKLJr&;6~enU@#_X2;jS~mhOT)-i0
zrThK){0jn4@!(p-LmCg&UzUCm|LKJH7lb2W5;$B#7zcqWh^2lD=g^s2Ko$w!><_K3
z{c-HCUV~Z;-Tr3K7hSQWcV(^n=R;p?#bm=Xk-t3j@l*OM=5d8r{bSYjFVL67TXYEd
zf)Mn<*WdhxiC+!+U*wlU(0YciB$$#w-iO=p#b-cr%_XO?aQ081O}HHN`wC7x?e;gD
zc4COHSJLAbW#A{lpD^w4W!%4;$C1G4(th5wTTx;)|F=?we;MxY);oVbZhyBp_8*5z
zP|O7}H{hkmV8zK7vA!ep0$|Ldw+HFe553Iy|MAVbtCnl=>g=y3!B1izzgo)zbqId#
z%fceV-_LTtNl91u#D7jTY~^~Ar7w_Lp2_0v^zuv=A2Q+H!~dQS#DBlrzkvHIzpw{<
zW#OV7!#RC8{<~<F0}c<azc}DldkynXw{SmcY2828!ikA}9oOP1xUcYrJLE5pw?C1p
z6M??GbRm0#(mA*g47}0wk7jd=^LiC=)M5w*t_zO%2N4-7L(@N>!&}+nFZr5hq^cDh
z<0)ceuWzehF0#)7ZsMi9>i2xDFlm2`$oMW;|7L0Z??U3|=SSZ(iKn6PvEqN6AN@b(
zG^?TzAPxfER}toag~Bfc7@q5b%<rGM{urN@{R{IS%%kx+`8VGsA&M8M;v?B#v0}0+
z%zrw4^-nRj-@Gb!B_w{nvHhmWmF1FO*4VD5n*P;{EiSM4yBph;4*uuEToj+S;f(FV
ztDYb<{PHoyPfzOpF~)YK|HXgCL*nP7@ORg9{j$dPr)wnsDJWd|;v2l3`tv}zvc;uz
z3*Y1~3qri^;+M{^aHR0x+~xoIF#pEm!{I<sxR8JU`aoapg_r+bYzu^Ci=s=3McoYe
zyvXFj!E2HJ6ef4|s_)+u{wtSFEPbT}9*RFd*7&B$l|lBeYv%vu7ZypS-~PGUtB3F&
z5|;)2`Br!-xcE+szb*)WI=%2uiFgrkT*``r1OgArKhG9^(<EMzf^YKIg&{7a`FSDl
zKLv)rn+E-SmyE#Ex!*(nuK+_EZG@QZ9uJrz0;AyJ<gBV|>3ZnTDzC0cf>wER3PPD5
z2E8@>xBjhI$+}Fqf#<rH>o)M)z#?Su25~p=Rb`OuV8xrxmaEl%<Q5ih@CQ8dlE1`T
zrk{_(mB2^*G-HT=%D<-kbfNg`>;T?u^6iM>3&YMRN6S49X5cG|mLIdQ*USoK;fw<B
zzF$Bb?gXH#1^|J!Y`fzhOF+OwpspmZ>tQ%@hWy2To%xC+cusXr-3<EVJH$nKwPU-l
zM3J8oQ8q`{YN<WmF0x-hk$x*Z1I4*5GG=EjP7V2eJo(w{joa%~_cy+^EfyYQu1Cfi
zUwXecEGrC|XnTFMDX0Imm`&66jE%&>{&aLi3UXv*guFb9AH;%+4K{d*Jx{U@Te(Z2
zcmq%R<pA7)%g)M#6Dv(xUsr78z+dId&akr;-?X7{zJiXf{#rK8e$2Nwu)&LM&6m@0
z_YlCQD5rF@Vux-G{nxh(jtm>LqWW_G_*1Q^2<Z#iUTcY|l92_ps&vK5eu8oPybU-d
zW^?k8X|$O2{cP(qOHUZb299ocI;0F9V4N3b`vUg-iq7R0u0w7u=$cRSV-7+EZxx<r
zYG>>wC>TtStRA|2&i<^=xOz^z+skzqt6$pRui<bkCdBmJ?eKbiO3%nwOq&&9Q7am`
z{dQQ3#W~;Vx7}qEMe~!-_onzxw>SIDbcepr^ZPvC+5c3LR&4V*pW7clA8~I-7kwDl
zz*NI4H(p&sD?8Po)1NnRHpe&j!}ycUM~#HPJZ0iB|1d-JRH!u{u{8;yn(9F9nVJKK
z?a;_hAI!u=oooszmq)SBr`Z9L^gEqL=h4raFm=++lcVh~cYd1bz2rI3ue@cV>9B(s
zDW^+Zi)BW1_4>oM+DQWu+p;VLgw^NXRdUy)M+#ZHb^5v^tQ#^@Z>Dzz^fp}4sgWE=
zHC=Dy<D`*Xa$?%U?}^~OJ7&=qCoUmsCCd7zM{?>~eG--iHDFi;3|s#E-n-01>mvR6
zypoQ%of>M%xqM?FTD-$@U8aoh+`;k2LT~qpN1M+jA8~7W_?E+(<!U47Gds|ef;lbb
zDTi){c_GcJ=rEwIg9@1GcK5?Q9_93^$z?QB)&0>@e6Mz=O4P^SES&Cm$>H<1<fMmo
z)0WGrCgJ_U4?dX0$jn({dcrsNm&c5Edh|x8Ql#*C_4zg(vZy&;SIO;XyZ>$_mv{Ac
zY**kV)5@6so=9ONrQn^X9CjfG1#_xJT$RS2X$XtO%FJc9SY19-t-kq;Zql^WSb=Gi
z0cKCm(4~~q%!VE%pL{0=>qGKK@?U2icomfS@ogFH`_K0}kKTWH7yaa9|4WAlcW2(-
zd#))}QzSlCFmamG?L|qdXa6bl);m`HFHB>_60+aqzC2wLM4Gbhz`>G}p8+mTCF&Wr
za2%cK&K<qbZ0KDBS|}?Rf4pt|lO&^~E!E<kKDn|yQFg6&vS-0apUb655Hqh%j^Mm@
zH5or`^p!yWulL?>$3V2sAM`(6s9kPL1p^{sGua~m69@HFo%05+yc@4wza7E9Esjr(
z<bmScD7KeI<AoYlO#!Kf-HNntdvVp~19g1pRpp+KTXZfp6o%$Yc#fORvp#;YDaE!&
z`KsN^T=Qoa)cfbh9!wt{4eO|t8nbP^Yoj;4d;a~Knyc5c^!1pB)jw*r^PB-UJ;7o3
z3H0)C7?=GCy2Gu3*M>|Y1rH=mk3INoe^TFiOC;%R&v4$y_b*>^hcz_n8QH0GoXbEO
zdcI0r&zv+ED*gUNS-dz*L77ALXu%EU;jO`MYQ#J5lwbGz{ORP3yo4w12dlC(?j2S~
zq?(QVd?Q`&a7zfQJrK(4izi`j-z)pEfkADq<!&KS$i=I8Q+B?DhbO(+IA5Q79Z}1M
zt}w#_T{4oZ>>HoZOV>V4!#WvKH#(G2i;LRaxO-A^yoyh-Tb{L-idBjBo-&iT+MdoL
z-<mLbzUw`ArkV~Pem2z=MBDm7GNsZJnXtVBGko}_VIkGk7JyHi@K}upAK#~V4qZ$d
z@#B@GQ&8Iwp1(c2oWZqjM>?|u`_*-CY?`j0vTD4Vctf0`$N7n%1^ElmXQqie!ZK|p
z+Awu?odF#3mu8q5@}KS6R#T7at%%Nf%=S1%gYLR2muLA^U+v~S0}PKbbfQeP-lKVy
z@yJ^Bz}Eq!T$bS+7m&mG>b`o1?Zh-Bc%Q`ObGo<He|jn#cWA&mf=Gj_q4&+bP9*0J
z7Z{jh=l0K5#Bkcw(FRfy?^9oL5LGn5P>$R>pssLUp0_Kk1K`dfoH2q)C;&St8Q&E~
zPE0mMuJ@ofR<?tRL&6bxJzXib(@C<AwT)DAO#JhQiNkB39xonzQtQg-de!xHQ$Mgc
zu+6ECfv!)K)?utFqFBwR8ug~%AD3D)AmgHR^YA_Urge=MH|;rna9WG$uH_LeGTz;E
z>Ssd-^N_0Ktg~`+JkA=zg)X)4h~5QOcQ}?&pJeI@X}xJAD_kF$@1^jVr!Eeb<fBCU
zjPg+Q=Bl=}%m&8$RjWjXd3;0C2gA57+}21E%9Wv&{cwxFI`ibAwVhU4Cw51#!+DuF
zQbKxZYFgkGb_M#6MRA#tKI^Rt<?}LNh1KnxIGAX6v+(_Gi)u&i0$`$R&dUdx>r5JG
zB?{EPG!CNP{ru7%!FTL1WB*e!zWKbvn>SW$2^cLj0I<=1ydh0rK9@&q<1le}B%^dE
zt8}wU6^%uY8aAWn_FTOx_o0WB=>x4JVO+$t$_#B1o$ihM^=g`gvC8Rkfzj7CTd-M4
z)r(u@?5$Tkq(r_^GU>^2KGoB%%}1KA=hW^nRE`xmzf(h2{sQ?ZkxZ(1a6{Upyfg3V
z1Pz&(LEwPgPu`JYZdIg_EbqDUB?vH!1WqN_<C-Y%Q)4<uCE9%itn&4W-6hA46KsmR
zAW>gN&4{L%R;s=4<Q6rc-K&+6UXREChdoRrz{-rf>++LvSv+;rjw(uu98{LtG#Pa^
zc2M4>O;WK<o4i`YWl)RVck-0Q*;5%c^_eNesU?E(NX9|p+pqSC8j<nJAK=M}Q)xix
zO1J50KNX;DOh6pfPA5I|ii7K_0CCKCYI>;Di08l=3r*=M-D|}PsU?g()lyxLJ4<4B
zC>W5(BT%Kp^Y{6@8k+OM$M3fx*{c)u6pt;09_LG;XyX=*wrjB54W78yT!ogzk0t8o
zffL_;$SLa>9oq&ahU{@*E$&)OI3C(aKwhG%RYdkIa2x7_y;K__yf1t!vu`X9KQ^@D
zh<FB8QRJLQPq<f5c3(t3`SDiZSp`viY1nqZ&mRx0i@GOyw2){QS8xQv?wwj<+>x;L
z!O7(<N^N_cV)@fIzj1XR?q++Or%>DI6cS6E{krw;wU1{W+%FcT6C=8O$FjckC`kq7
z_FMkZF%b&tJ&3skL~vgyrNGtAX0#?ly2@u=gE<rT*{9qU$!Mejumr9)6A7ZPt2Zij
zjd-6D(0Pm%PE)x*qrWYy9w^}46eG8(4WU;XY_rL=+m<cZHY=}xtG+8wA@M0*0*#$U
zM6He$LTo!X>BG)3?n!vf*c0wE%fU~_yoaG4;neO@$Ecj}T9C&Fo5pa9#932RGeMWZ
zdTY}2c>}FTl0XrLrC4kniVO)iK(|9jR6_P)s@dp(_Oa?bwX}lWN_%y8*Y3}kqR=)E
zKYw)@++qRT-X~vEf*wO|Ki^w$5_{mw^ZoRkcR+xGoS`7UrzsRL5F_8FoA@Q97zd_W
zkE?C})urHVp%*|Hd)^Ghf{9f6=<SR5fe!`2xdOCA8@yhX9JxqA2(`96BHa}NZsXDU
z{T0g&UyO+Z{%vZ>?*H3?OQ2Z=7Frj{K7f#Uzy3t)wf6-RwTHc<_eBQF9S3%28$;Y<
zm8EX9WC0M}uPGY|ei&tLN(=?qdo>kq{bg3@!T?eepG!hNn6Ik8;st2;^i5|YUjpvB
zC^@qF`Mwi-tAW=t{`7IoFX=jeL+?XoBheIxBF{&Ud3w(soqP0Q`oU+h&$D%YyYw|r
zS1V6GJAcWYjRIVp`r_qA&81mzUVto^u25<eTeka@$U_6ChwGHLJWqNA9Jswo42M+~
z2sq;t<txtleag#wSHWHbV&DS_&Zos4>?>lq9r}Si51e4E-^QYV)+z(f*628J)oN)b
z$-Se;e*QFH!xy{L<kFrL^SSqLY>H<4*)hXcF0+w!v09{}-oJE^?G5XAm1JZuR5W9P
zd2_e<bm9U1M+UBq`^``6LBa)&g82Np=iJccg$yU_!6&brzIct(9fjU0haCzVw}T+P
zzdywR`TFLAB36WXHOK7pt7oOXPv_dbgu?8!tm7a9x*<3Z_9MA{Cy%r4^tknLq>3+A
zlvB!06pDN$d&2mtL5Oa*!+q4YR(jgt<w;9#E)aOP4BvWT5_u@z{iWT#Qv+wcYhA`V
z+N+b{Wl*wr$>_mRa}blC#1_6SrOd646w0r18E$w)=>x@k$s@Th?agQ2cK2U6p(&D~
z5-oD=M(*i{Rv?KHt&^F*eq&65Qqb%)($3ng%}I3v3}@@ygr{iu;5t8_ZI!L^AZ~Y?
z+b8%X-4&4|*x>e5p7d0Tef}eclOWQpYdbpsrXS=2@FV#y*=A(71Jj#t92VF3Fq;2b
zXaXb^hvL^f+VT2&PBj=kD^1ytE*dn=2TiGSpiD!NR=Q#LY0*b*z^67HVNiZ+^m(qC
zWA<jz+^~5NHS$(g3dj#0cuv%a3!Vz*7%iF~Jt=UUyFAvJXCLq|XKT1k$R&esak@5W
zA2@`0a|n#qo>(qv^J`_~n^TS7zc8hp7=I$n-XPJM1Mc)?Zr*zizYp(7j?v$)?DS|#
zGOtawViUKwm6;zwMAo5`j+noss1KfLcklGgr5YxH+c#&O;rI9ZIF-bos3CYaA#MAx
z;(g^w5tg@G)2-=&H*d|-dAR7^0eKPN%tKJ`{kDYkhI7aUckuggsS2B@W!(N&9zD8K
zP(CHI2F?qxfa(W{L3RXZ`5;I?Z_VDZZ*OHtc5OOT$>Grza8k}5#O6p^qfc~YHd%QU
zsXpV6`V(|Cv&$)-Ron;TmMUli@>h5z2PSG3_^KKxpx>|9kaz87QEU80U92+mkp>2Z
zX0A5TURQsfeSX9DyF=LZ8)HO4@;cFKbMsIsc{aaMEr0s%Pk>U8yl)Ps0z&rlhn$Z-
z!wpvsu<|>Qy#>Q!2FMxn30IG_o&a_;hc>KJZu^PNdvonn>2-m_Ee2lmtV+l-=f?mZ
z9y2hel{PmyWZDQ%(!XnsZj?A%a)wcSk6MaGT(*W#UU@wG(a;gWg14pprIf;=Hy?b;
zXN8*tyPgQnlrQy}?F2EQc}@*7Ct^KChf^h|#r^`ZW`mq8jxd(t4JEof);nWwheq`8
zJF#ic^%RTAou~pDZ1T9wWA@Rrnl}{deL%=wQ^D?F8_sHfJ>l+5Pb4XQVYX@I=`vc`
zw)|TPa@u^nPIQO$NQ5%t^uxHwpG6G21IwY$@UcN>FaMyV^j2cF^^j${_MlP!i)E4{
zPFETOoqJnbnAZ&}=NvPVimA=+qaH7x6;WfC6+pdtc~87f_H%)>H_4TNs&10-ZT!2|
z4|hU2$;3;Wn}yYgx}Ci>+#=-`bmhWDGo@#*uuC|e-`~vRBlYIa327-c$qS!>`7|$C
z%Pb0J)fHFCW2y2ydInC)*M=q2D?N)nIJH`Myo3uU;}3!Kvxaf+PE`9=USDirp!~k{
z&~ei6!(KxdZ@k_*+*TgWcq9EDNCHxZo?m|HSF*mj9%<Kla6_2))(fmA(UF^n&&Pu?
zI|@QIQIREALdY9OK&ZBE7pq0R8XY2i-%%(uuWAQr-+_-krznN6#b?pIBdzzxifl-z
zSd7D2<PXhFk2$EX?|ThWgu4{n!)-*A+l>?D4CExGnCrL$UEa4?9DXHy+JiJbcwS&&
z@O`JBU(V~S`}(E9FE@qDiPW|qciyx+*;uQ|z?;X|AcO8kncGV{J$Ds{!KZ1tBfwDB
zIBLcf3u2FL;`O4tqrCo5`Bi7{vBG=Z2IrsHytsurNta>Y^NC#Y7;&Ij`E;BjO*SFg
z;2CQn@fy8Yqy%_6HiM*VC0`r>FWF3%-VA_y4Itnw*NGU-0S;^rFo)F)8r!v};X)_q
zwx(++FgO{d0%C4|r(<>>#~F>OSKPuUcJyzM_jzAJ%Kd^z7{u7q9F4EGr{1I)l~>~`
z(bbynKW!uA;O(TR%o?@1_GP!TI@cX`y}f}i9J69O)#-+^j@;MZ&f`vZn5b%|l`mbd
zO0DVs-5B6*Z%p56-Mkb6GOY`U^PY^*H(qBR@>1ZqTyHoc7;Dq7ArONNWq`W?Z<HIs
zyRjt+MA(jwnU7Bacbvr9uvKlzqi3!K55221(&*^yMe2gmL&ZMoN;fBc(-^KYgG_n&
zjZ~w-(y;<-0Lak<N0d*lC8Qs^U2J$qL3uKQ<l?eGnvDpW2Wd%-Dp1Zc>IA%h`^U?z
zl#urqQI;dIzvQT=ixQdnG(=Mq6v1}->TYuSrv<{iSXMK^^d!QntqM?UTHDB~if<&I
z-Q7XM>hp@vOX*@CjZ~Jj0D8l-P1^EFfMh{n`geQZ4G`YC*|qBf2fcX4ars`?jE*+J
zgIC<!>0h0gr_hMDIW5y`O`i4gyuFeszf<^!C{{$Z{rxuwlKAQO`F)zT@IGgfRi4Od
z(0g2%zA@4HU~k^Uac`Dzo@<`xE=_M8;G{2nJVe>3v~WZ3pt#3}Iq`a+$joEa$qw%^
z>6|A*_g~x}-gQbp*Vbxmy0>G;T#9qJzh_qfY16vbqto8+9x~TJo(tJx#)x^9s8_2(
z#v6XKU_3$+Frzh)nc4x8%E#81Yv+Nlx;M@3?5o&Xe#XDIGWK3@Zt_sFX-syrtE1of
z`|)c=yr)O)#tuM1k=>XLu{TlETh``%Q0(B^n7qUFYT?tfHll+Xqx;%yb85`5L4=(h
zU+O*@rFc=hR?&&#HMB408N|jSTduVX@TVt9_ixo+c&@u-OeY3?LGafUS7NMwI{k5w
zw>vP|=AoQ!YNrzmg{!Zy6eZ;i<~#LPgxq>dE%~Tx{_?c;VSK2g&&Tde+#SA&jJVDg
z+Z}RXPl?>XK1ZXTeV7FHhKua>*b>NXzTe<1v~^${(;v>~71hiaBT;I6-hH&KB^3}n
zO)L)p2U)#N&j95&;9JESG7oW|pO0}kl1mP2?(}2YIXe3ixYa%P-QJ8K2F|#j{m7nl
z0#nKD-f{e_XFn^%jkfx!zrJzr?2QTJOIw|0(Z@k9j*|2INd^qNCp-K;`(oN%n@>Sx
zYdoXTj)7E+?HQ~D=l*Qv$n}73gy+i8X*6X*^sgaHT_?9^AH9YF6z9QR%?3eOmP@gI
zBkkHq%HI3#WA^KE*3d{4Prh!hi{g@QjhAR55OR6|`1IYEHO~xRZM>!@tP!X6Vl;1n
z%YoaU_f6V^!7>omwlN4KWeWQ$`C_G<-gcF|k0}kJm3d*P_--&G)+@V9nn^GHMEqvo
z#~*|HUNO9?*8{<9MqxTp`ZVBBYe=?zT(cz<E0xadD>qS;ujdOU<*00<AvAh%TZm-R
zLm&H>JgIe#4@QN&yEEP4z1g!yCUV?y{>{BQH%YNk6ib)-31Q)+O2FXX;0>iO1i=-F
z#h&(Jir)MK@l-{AUJN}1$Fac1R-493n^%&B6kssr)G_Y@wWFW#UkLW&RW2eXY=bCv
zh<k#H1{(T2Yv?E$9!RB=vi6QUBE@(%sdBm|SalW^wudF}^t^pzO;S7tC258N?m!&W
z7H$l^$j->?jgi{k5<Wn?MVYgwBOlZl8vFN18XSzV*)-iP8UOf2|At8@5^0L2teFP!
zR}Kig>*__v{i8y*deP}u4FZpD>ek_DftjpVJ$##e4@C0u-(lRe8)iG23g)w`Sy+Cz
zQ0qkvW{tM9zV8o7k)C>REi3=(P<=+|DN(EVyop*V!7DP|!Hl-;yb=PK$stfcu*-LS
zeW3X=oq&M=ueWw%<c>6h+vLRXvgpQU(n;Rn1TPNHzT+pO>S=}QW1jDoZKq-tDQD2B
zpt5GO^LM;W-lapydjYGLf1hHAwu;THmVb`wE{#dGMVv=dn+FkPt5CY$wrf+eZ-6Z<
zl-VD-;5hjeyCQ{)Zb_Ao#GBfh@Z?%IK4#m)V#(qS<q2ZMvm6<wkNA`B)IDsZrrOm&
z9!1}o<(YNH@$yb%<K6=y*8XXcPGt2HTew)B%B&+;LuKmHQy!j!3JC~vQj^j~zyjfI
zy}KwXI9*x9tP|R!FGpwc0b@`oEsiiLC$k9~m%KkZa@OHi2}$nt%xA@~o;ita(A#X%
zmi9^O!5;DU1_s00f%4Y@*>ySW4h7kH^P~4`&U%kpMQcYHP>ltwA#L5z^O#BHHRRH%
zW!;fs14@&hhUhC8O*!J_6tY1u?moi8mqv`bB^AZm`$3R<A+D{NdwtV^oYOS8Q})AK
z#cOhD!*AWINPGjeX$eg`&aVe%>ckE>Gp|B*Be1E}@uU@kDl)?v!hTgm!M6Y{-VXwy
zJ1N3+5)5N;H+5blTY&h_tG$B8PIbR&LAj1lx@roK!JT7HwDr95wovpbAyt`t@rZ5m
zt=v0S&nslgEUNjN2z6C&5$UPjctX1Fjz!(srn^iAya%vWS%7XlFr*Y<8q-s&#;wq&
zWynb$=#m|v+;M$vSM=jY`s+J)n*@dD(XdWT5x(Xtr{>V68HyFCSJW=QmS)qO<?4~M
zrFcigOa8HWhL2Q5wP%tFcwGh3g|v;D4ps4EP8ZCGp9K!~ed3|_QOc8#JJw!Z<n+Ag
zin~e#ii=C-N)GDV=e@c<&k`a?0;^a@!aS;Db3HqxopbsMI}{zZ%d0$k`{wlY(DTas
zjH3ypQ5I@UA=GB1z3cg^FMAkkRqQ8ldv?Syl`n8InnUs#+btvCsYHHF0V<X-Y$S@O
zB9W=K%y_rrSsr@<f2>;G5uXH>w<QGS(oAbnAUnDj{A3F?%Ndrd00&9e1W5R{l3RFa
zSrvN)tX-d+!6m@GGm_UEl>1)hNKUSO6G)uCD{be)#4WAzpG|l&l+qNmnCT1s`nQym
zKa6@e#?V`K<{}#)j7zAGXUh{gR4GFC2`c{`&Nv6}R^tQVk{cOYa4hxOBw<f+t7qjg
zTcSK`o9gSZ%nFl^Z^|yl6`4IRVV!^XfmIbdy$59UwOjfrm4foBSt_NUUP-i#fF&hw
z+gQQe2Rr&cvd)=ax|L8q%`Sl&xiO3^II^50xBzBY2Xe-iHcnn;funJf6>z2KDWYS~
z`R@@br(_C~2U5`VQJ%eXd=BAvN=LKagmG<P`6lwI@;A@vs{yku*3eAaRe7+4nlWCr
zMLRvznN*X`j-hV^%C~GxWYS6VE}R2dtN8u160sCbB1vx#6t7LB=0%bZ9&UE1cK|WN
z@GOm{z7Boig|Hz{C>M}hqe8HsD2S|=GHFAUh`|LOS32UhOR#*HF3ep2p1oarh0m}`
z!r-i14P4Vls$0{u%YZ2av9TZch+7w)DaS-^<4Q908sgYWppx)}@*%ZY5JrXN9g7-E
zZk$@e8Y;_k@qtdt#cM2V6$WA3o!${qR>4A2Vh1HJ65cJptYZ9OmZ6Wj;DDhg+QyiX
zm6pn9s_W3)b*tx>)^AH-QX{mtHYRGRxwspZI==J5+H|5ke_a9AHQ^P;1ElN7lux~*
zI<8=sF06Gm)mvnkV=MJW>K-|6CB~HXF@x{8>_f0-BA;3${L3Yp_w=t-B4#M<9P&HL
z5}Dan5ajiQBs?Ws2(JZLYf8rOaNt7`pblPmRZOV9NdYB=GnECg8!A$j_XllED|#ns
zr&yxz{pRkQWR>tsf_G9LRK7gf;L5nWn5HrAHm^(6n;ER>XxAY*X_n47g<(RJ{Gp(o
zw<XJV^o4P4jLfEK>6T>DXeF!9a7f-OU}DdAY%0J<F^tQayAPOhx_xB)9W<Heu-+=+
zTq%3@N>3$7r&Jc0uOX%4@t+OjItX8{C9Tc%GS|+gF5q@Y{!!!hK;zqnn6r+@mDguu
zu|;O40UOix?q53{X87j)4gF0}04}hD2&>&K6p|(d!noI`!|Opkrko@_G(X_@F%8~|
z;Jxi(4ASS|$GTZM$tzi$AFol_NWw|NPBL)&iIB~jEi+8CZACp><v=nqJl@0c6!7<U
ziRukB%px81(g`r5A^|RzbQWhid7`a-pz^t6xQ?a(A*W5~YaOhE>^T$0yX!4+178%9
zN^-dWn(E}C1Rb{t?E#MZpsH6ommGtRiJI;<5l}=XM73)f?>-+d=gd<kaLzXHR-U{p
zBh#9TRe7w=M`;>aMp$i}(klltA5^nfY!xcA6_Ha(R*V_!z8cl7sqpC7^^9Em?1$@{
z?2@x1TgxOi$qo~4G3zDVP<2Udr{7%iPFB8xC!1)7nIB*-(WZ~Js@&H;&TC4?(d<^G
zP+(WBO%|zhZJ1pO8`pCnYCL-Dsn@#*E}O$U+gjwvID~q-NZy6W1<0~%+ZJf)8JsPt
zR;EFB+(&p_w-9(MU`FTAO8qD+cCg-@jH$1tnKacsIN>(QGj8J%rrmGlJkg`hAvAhN
z5`3HP(xsDbaUbyK^|}*qw`6L~XgRhto+Xsd4S6=*cT2inXXf?MI_1f$_dn};FHFfx
zWL*jmg+xMlE>QB3?F&5~ronubo`mQAV`8!5s*<N~udq+iOGiDK(UjPAOot0L4l^Jl
z4w4U{++e?7=HZ&8EG&h;N!R#>LE@>)d-}rbW8hKx{@KxlgHM<<IMUbFqo-4Ma@3c-
zVJvWbs5t91kOfoAP!djJllLrwMpDE`dYI3P<&+beqLk26t})F|n`O|n?ODPnmEyJh
zCbqXwT?R-_8J3Yu1RaOL9FIOr`%d=L60#(4|KxJUSBftr#0Lzv=IxE1JKyn6vYdvf
zbSBVveA@DHl5E{^Sz<&prw10Jur*^qLh<Fv*OEw0OWFy(J%Rp+u^u~D&j5PNv1t0v
zkA87GYctbFk2Miq_oNlqHR6uqlxkwwJr|G2zf<RaW{q|j`AAQCN=Pnu(!MIYtXcJs
zRqT3QPm#(`PCjw7+^gG<0TgeG@YO_!$~nJ*zPOM|Z)3wIT~W6h?McV9z-p&WWXx)A
zJ-l172zd@itB7mtAKK5<PrNyOA2wQl#*u2v<(*xpE9{Y;a+a_ztzAA5q`OoN);ba=
za=y1r-)YcWMJleTI_Wc;E=PwYqDrNJR4q2u-J3{Hl@C_lGF9cwID=7UG0?O+Z+njI
z_!EK1cyT5*GOo0bzEg6CoQI7J>dV$KCY54Ej-{!Ks&C**58k1;m!wlR<3f>*%1kOX
zO+O(!n}BZI(TgFW1U3W|nfFVHVnYq|RCPD(I6a;CVq3Q>Lp^2XuDuI27q*>5EVo8@
zdPgfyNvNvKNNtQd;#{>pn548=6CtEy)j%Dn7CaJ+QHf}`y=?nbUFIR5)xdGpwyJlp
zD7i8>W0l@XjY&*PetK0+=Ql9zqoSi5eV(Juw3ocPclvIgg>xg{g?4T9<7WHuxDsZ~
z$+i=j<^qOJ4}~x6o!tF~r>kjqLb-|2bwld}(J_r^N2>|u`fY+mkB=<ma5`iSm(6C_
zQVz6dzCZI;VFwp8GU2?(hCpt!n;hySMv_{3ryxQjU=rl87b`U#7N3WM$STZ`cUVPi
zEV#L~i>`kDvMS{%(z{5Z1}-p1A|mDB&HD6(J@2EP8HvE@4WdLMjyCz;Hd#&&MU&IJ
zEV&xmw6ueQ<sR~ARl8~^-89MHzixr;)s+E9ZhH``Tjob6aH(Wt`sL&Nzzwb^W5TpE
z)IUkD)Lmfz&Mz<o$75`HYQRxU$D$~+B)2^}rOrTaGAqkFsZPw@^BJ(YR|~B-Hm_TI
z%%u$L)H^c8ug)+9rMLxplr!TcuBYeUkwxg*gkRGpJ74}Wg<6n)XM{#i@5jgMc!(pf
zT*^Fux51spZ*+&?0fzc*>*F5-F%=<HWfa&{-)p~lw4mo~-i7dMOkrkfRnAGzSc;|+
zpEQy+IGu5Ax-wS3TXy=ctUjU8c)w<r2^-ZZ<Sn&hi4lWNt`(3}DMo5k!n=mdtQ!QU
zqJ`emx$aF)ew@VQ8~U^E3G6#Dd^=#Lvx8ZD`8u9B>Cs9`bpuo>e_xSzr$WcgJ`3y)
z^yM>dB5gG-PZ{cs-CNMi-h0hOr$Az<vb*0paUZ`BhFkWi&qEdNSEXJ>18vHa7fVZ$
zZkC;My?7AtGY8eSaxWONHFCwOld$#JJE`}_<2O=iW~p?2x_99UknDsA_YFR*vZCso
zdt3+@>>Kcgdk&p*Ts4yzqxmCiLuk3}g&urx_Gaz^iXV1^o6c+!C5gLdjIV@sbd?0v
z0OHdYOJvqpb^QG^Pa&3bBIt<y6FjuG436*ILTNawfs(8mB**sWf`|=$-aT}yb==&u
zU+)O|X0^Y|`CCsN+T_*!l!W<08=OKnPD|!GbaohEYQ#<s%Fpo%Iz0H8JJgn!(`~O@
zL2#ANUCbFZ56NVpI)ZmI-$aa!HjV5DN2sKr|L`5i9K@qsN4-Wm3hx&RnSr$So-1lZ
zXUt$Ki0m2HXj5N@T$Ru(>?9;jgOYftx-oLM*)U|DJtKU6ZMcX=!V$F!pcFwNUl^}(
zxDQeLL2xQ<yZZEFzHT?}Hr;-(HyM_uDana2j{>=#YBfk1Y(Mh$woN>mQ$7NfcOqHs
zHtaR>b39g^UCCvWDSLq{N{hgX`(RpshtEXKd!b#ABL~LVueK#UI+FqNrJF;~E=F2`
z0>BN*^5I)$G&!bx9ZB|7IdGNF&a~VgE82bb?tB;AuEqiwepbNeO1?_a0hB~V0Q|8>
zkK}0C1=$v=4CyvrATa6;7~c|#yleN;4Vg|#6Uyb4=?O@sHx_-Am!hOcRg~{u+S}9H
z63RW6jRZ9j``ib<SXC#}4@W>1EY}{0!wPP=SG@?ICVh>T8A;aI*iR?nG%yU5J|l&<
zin3G8t1(Ath?Dk66io}|4{iX8!Oc?Ky)%)6{04(l*hPk(i8KIWo>PHfped|$rknES
z{%Z#g6k<We2+|dfiN*LBMX`{vTwys@BrG@TRyNZOoFFmZBv8`jGAEk~0J)QCNyr$)
z9UM4>UWcjT4L$g9Z5f>@kJkfMlDXrmTvlVBZCdYK5sS(rrQ>5}Mi!;Qckgf;kzh||
zNs-BDwdgY8I0H%<?_+jGbpUdDK^kb&VA3`dwX6A4IOFEp1GK}jD5Xv<2cewM!C9(G
zEa9<iZZSug8t-P~qac+&SeBxD?p>-)!mL^;s2<qP$2!Aym$*UFzlv#y_NSI7W4u5d
z#84Ux*N9*bJLmiUlqX;pZq#$|t6tpT71e&@UPr6X?5m{y%#4`Z<=6CX8aBm+m=%J&
z#?4-?4`%KCe#8n}aJH!O;t4P3Ez+heWl8YbnQ|8C{$$e;mNL1^HA3=l2a^EFQX4Nv
zWn96C3CIicB2&+hfpWFH$!8jZydEE?nitfG>Y03AaqGjj?BYC^cCh!^qYtHTFL2VS
zRFEr$y?=Vr<74uCR5pM@RX&l(gBf=)xvyOlm#D96h#lZ1K5Uz<+&<8r@0!!=2QlKl
zamryqH;>S<S8O>5mn|WR-~GvWhylZ(95NRqJ4J{f+fGbLL?sg?7M65VmV@vjH|+h8
zct80C3m}Jc+kJbqo)){KVq*Hr&~<*geO1z!NM{FZH_0`!9Qf0_HqDZA<Nj-CGHsYY
zs&+n=nTvLs0gP7bEKO~LYgHVtn_b4<<ePDPw}N$VZz<`tiskcSx4U!v2;ZPzKf9;W
zx<bIm)Mfe62_i{nP&Fns=4%L_aYk^D^;i}Aprxk@2Syc-r3Q8PJv#A*^U8JVxJs31
zwpW}|*Qtv>S%N3j9I-@%Q<IXhbkbL^t<d)wL0UcA*qCg=709c^dAqW}!f^I2@RBiw
z=?1}ao5+}+HwvDh5bsjhg=T7ExZsm*+V=KU?C~mQ-hp@+1)PUR*XNK*G#{1ZIe3+{
z(`aPv^x7Af_j1o4i!31_?A_-=#X&~3b*;+Y%<jl{vGO6ukENA+f8g4KWtsx2Mz%XF
z$}ChY>l(P9k!%T?)EcndV02FV4Z<;xiBpltl-ZOP?N8b7t0G9E+?E+Uh<$HL<xg9|
zZoRcaT7^9861ELRX43aio#4VodpVTZ`?1akwZ&<BdAaGj88szJu4>a|%|#6uWTnf*
z`+EiD2bDz0Q^*GrOl<EX%Ao6I{9wf#!bL&NQbDcMVX<3grYq>AEzB@e<4V6MG3DJD
zXI{$8t+p<=<O!UPo!3@vRXD@LS54kA+a1b1;*lP`5s8pUQIwT$@+1-0YOn?sw`zJa
zO03*79xmgO7v_ewpu*QQ6CxmQIH+^^Y&TbQ0J(NRmHbg2&JQ0U;o@T=5-}Ai3S{r8
z588q0O2US+RM!24d|lO#>N8a9R3>@K681<oggR@77^M4^#7V;3Mh<HDBr_Me0S$L`
zd^2zxjaiBULYe1`De7Ywq#Z2^32fAI5&hZ^csi>69{U1nx8P$yzH*`D6IB_ywQ~gf
zstbq|n`FuE2>Z1%?gg^Tq8d^W67$Km#Aow6L9wR;`TU*`JgenGk8fMk5Vsoh)CTT3
z#@lKpBl7tz$xoCg4^nDx9OA2DB94Wx=l80X5<hTIk7d4E%+X@|ZOyrg99r3ava`$r
z=5d~#-f<q!t{=)7VJk<(Xyw$CX;+K89lYuDQQoM(H0EwAKN$-<k<WwK3Zbc8i2g^B
zvx<HqhT5U5v@#!*C#@e@?>lVG1(i{TdiJp%YYdY6DE2VSRFAvNyZMOw-BJCKm>k8Z
z`X|h0Z4#x}Nnf~1xZwv%I#VJ=B0iF!wTeMUtf{g<O}RauA#5K2UiV{~9o8%=6cp=>
zZeb;l!x9{MT`dm4ir|hsUU9SrlP|=KKt1nG)@=k^i=BmglZCFSM<ulZ6M5?~lOUqC
z$59q9EgI7MA4c!0$h46SCgR9#F=xNe7wgSX!M2t3jgs{EtH^*M#QEY<RtXkfnRLB#
z??w>zXX;rule2{DT-LnXN1ZA_n{n!sd8+*BL8GXnVVjgvkCw~Tp?RK(@02wzCV1&b
zM@fdsW_-Pacx`%s20KM8`?(L10nsJ94!5yN&oRCVIpaG_uI@<QQ=IHlr|^u`Mmvbz
zmQ`G!WYmCXG%hnu+g+`dQZnGJB8xg5ER3L!c!Xu%*1$MwLfC?)rTF|_;N_&QZG67@
z4r142&y=YSscB;(ZGRly<v|ovuS}RX|Ak<91vZLNI$<MHkB5s6K3CT))Wn`3(7HyY
ztK^08r+sb-gYc6tf>CP%_V6`mCTXpQV|l&eOpW|*U0FjiN$rs?r>Hw9+ctObL?-3y
z6k)&NVU0L=tA?KrX}_TFp3ifwRQ5vk>%)X3vh&LFi6t-5@{0GB%*mP1=r}Z4t4<bk
zI}b4xqRK*A>e})v^DB~Fdt*KYX+0aW-FbclzKQ43s1F~73&RJF`iwfCF-c*{F!~hl
zDCQ=0B%hCxu#B5!>`mFhdj>DE4^)P8Wnqi5Bj-}htDkeZQxR~?%9wnd=oU`b8(DXF
zmOOv~h}QHJ93xZjh8ceJ7dZ=$;*rJbcN0~N=JR=t1Xe`z=@NA^n<flCd_chK#X`(N
z#3Ij9$8sQ*wggSdCluZtnO&|q4T+uICwQ3!jN^0|vI0{povb<E$kqD~=H=I<N<JUm
zG;u5%u2E`SJ{ZB?*cHUaEbdqm>1FJgv1=d6{l+}10<3np^Kfgdd<<JvXH^~RwwOVA
zC7)RnmU*g7K&Y*W7tx*^Mx4d4-qSAaRiknZI_NJIoG{K=j|nEaw~0xkK~i;+$9a}Y
zi3(0-Nha7!Vp{Mb+|&OW*9*A_9$kAr0){{@<#9mt)g0_6jgKvTY|vHcqeSb&laN`G
zDJu|SuSm?STmd5yB9V+BH;u~<_vXeN^J8^jnTv9$5Mo~^AVQ~FyVq$n?o%;#K(fkR
zCSCOmJgnXGFqs)(mzbrQb|t7*Y_+>=2vUABD)tTU+~k{hj^BxmW=LRBquHh7^3hze
zDtdpvr0H2t6(#j5Ueh>FqC=>d`MIEIl3IKDJ^|8Z9VX>45iY_$(xFRlias2g_9?l<
zBN4TCZjCFK!lO-OZ)zIN#gDcWqt*~IdnRlS+tC{;sbGkW%TbBvCZ^g@@?cWxF_-<d
z)HN<jvF}ulULU&NdneJAFTbRi#p1f0$E^Gfw_V7Mk$X;QeRykbd_=Y0#CEO&^O_~a
zC+?7e^X!@1g9DlOrCp;LrRN%(xvL`$UMM${I$rENnBrraWbr)8le@l*uPpRIm|?b_
z?W@hiyTS-a2<fvV)Hq#f1yIK^W;e)uQI?T|jj@aa2Vg2%6EFcDd7s%Fo9a{WDA+lt
zzIl`Dv4h!)vGw8FL8T=1JsO;4G>ZHHKmlQF$FhSCvsb8#qNq%gkBfgc5$GZUB*#0o
z&`c7i47Rdx;kVd;$h4S}Nb3OjuKAe<b;Z3O0c6s<TI=kklAqJ|MIL6}7@v!xbFL^)
z5+;eQ^A9XA>3Uk3NyCEDoGrf<%}{7ifp|3=5AHxnzGq0o?TwWNS-q*AtUXVUTi7$w
ztSI%U!xj9&xlG}%XKE<P1YRlRtH)`#iLx>R_E}?l2!dqmE|}TcsfeOT6Jk%&l+4$g
zRD`l}MhiG*;BH#O$$lH#P*-SEV3Y6&KGOh6@{)k$fOW1GnsRR;rq{bRGA}ay$xQLu
zlpU`&cx4^!lP92Sb2ww7`KewlKW;a2yIQsMFo$bO4EyVbbq}kXg~$Z#F7AmUB-<wO
z)<+b6@2zOD<!1O%Nd!4-D2sfAB{#e5hncxGv4l(*0~Bksarvh85v&pjk{6=sdwpgn
zWNbLt8SBgSOLn4Zx`&GA`opZVkgA;)6G5&)(Hoo8#?u9>DXYjS5L_g-N>2ykWSaKQ
zot*XWVVBMzU4Pv*YF!mqpX`p&7fijMjblOyFGS9+wYMcYuX(IT^;{P{QOgBjcJgwc
z>7~B9P{->R=Z(CRx~m40R}phl_TU3&6!Sx7qKMKORupo7k12D{DPVi{7E$lv{xs>3
z9iMK$o>Ki4AF(r!zYTRHrBU$qsI)D18x@T{MLcB=$p>agBHO!0LM5+6txtoZmtYNz
zNN6^lcns_VY)5YekDt56q>qt*!diHlz(YB6E)ek=H9hT}-WVcWK@<|G69dcYAx~d(
zJg};srizq8&Y*sRUV0&pf)~BGajZCi{eoapc8pWdYpsUNax$kku}$1jTCy-Er(PGO
zItvMrT3-?-cJ12Y60P#E3XjV^RQgmG=b|jmzT@W(51{K7qNJgtYuIS;h({rhN!ox|
zJGzHt1EC9<eIP@C*Xw@gEB!9;onnK0NQQI@<&TJ`2iMUBwXeO=#W`G-CtX|p&OK~X
zh_q6aNO5J-i{J|m9GV4dJkf?KH-#SU7Y5-u(Rh$T^wlcQGRtDB4&{J{c8Rm)`Sh**
z9`_aAKANIR5wbN?;+s-AH#J3yIq{D6C>?DRE%G2wQsxQmqz4|K;>^f4vu{@4mu6?K
z!&(<)d9K$)qqFDeu!ewbLds2}!Op>1tcOh6j5afp+2G@N&6*}}nag#V+;;vOLoUqC
zNf~kZ=smp`)jab8U6%dAR3^p`-YiI87+0Te5iCbY)<qGZU1?I6#cI#aB055lGhdx_
zMK~BH6($tVYZUeFZ57LozDkovSyD!KiUz%osSK7mMygh1)J8njD?Xpuqc?jSO`0Su
z+ZK?Ds_UHH*Z%}=&+(3b{rE$c(6!ToVKf_Qr#Dd@?DRF{4RP>|)A0+GyY)JPH&kOi
zTJqwi&iUD>VeIiPgE<LIV9L73;TY~IRuAK0#8ymW=*}J$g)ARm65WR4v~xpsJ}RmW
z$>|&o5gsO~a>G91BCrmLz2##G>%`7ZbaRQ(`M&9IH(}ddpU)ID*eJe<a<(m69ciS%
z$j)Z#FIUvg+A!C#mb8skyHM-qjOMOgw!_;p^kqZ0D;BhD*S^Y0e4AzBp}{?{-p^v>
z3jewYf>1wg{<wLkZn=xa7b%Qf8KfGD=t{9Bd1@ha5=IT%Yd<>*u!&QUneEKy5@G?}
z(n}?`Q-o_kF`YMTUD{0rQX}%Ki510r<{yT=rXtzQPRTNb-Gh=y+?t&xe~Za2OIv_-
zzzJQd=f;r1b~h+T1}m4nsY~;;(va}}myySXrKVWs-<7iwwQN(}dZ|Qrj}mRErot(j
zJpzqFY{r99qml{o4Ov<jg{(e#8ItL;5nbe1y!)+oeVH<1p#-GQ-#H9?AeSd>JH>2Z
z$a55HKf9ree!OKZw#t>3=6>JIt6q}s$gIkMF$KQK?)d)5C}wK;>tw!S;<gy10CoMg
zau%0iUi*F6`h*=$#%I@zV{?vOx}YK!9F}v4W3p0k_Z1hAIvHQxl&-f!iQTRCBHLbS
z_WgH@5&)N&$Z+J9AaPVSeHBN2um6tF@OEi9_K0(G3p1fGbA4o}YDGIqvzU>KbZr|G
zTN-Uf12Zewt`jUn4YBanoB;~Roz|Qw`u69-3<am{?Q-`h-9*mszX6stfmJsX48&ai
zGxT{B&9HQ`xeZ-TLY2xQ)y!Ni?S8$HS)or3r_s-0Lo1nC>yGgp2ri;vvt`v)Cb1{s
z(Nm)rvBtOu_sbundKPspP4YOrYipJ<kU3F=Xt9z7d>~T_=eiJXOsh23Q%#?iD0!_n
z(q9#8#{4KQu6?$YPiGCdWts|RwzSwT`l2ci;tH+cq7d;pbQdyJCQ19Sq*81#my%-z
z-$qd<uGI6gX(e_F6VWo2^@K#@j<p;~7J-OYTVsnAu#y82AJmGj3kz-F({^p4do>q0
zbFlB~nu7hiPDwEChKY^(V$?C|31QpD_Cad`D0CAq(}nSLA)+M9H3%5pWj5=Pbz5#M
zn=9qJFZ{?d?9JSc4WbH0SydijN^+Opoz4Tbs41(g^^Y=Z+MDTwM_-h(XS@jCCXsAG
z$B{H6%bYWDZ;;b<_HqAXiYl&Yg_B#Ij99051Gi7#dnf&{#mO<;@Uxs2>{CUHUTf*B
zOW-87+}nUhli0ep=RF`IkCq?tBu?O^uosmt>S<18x*uJ?O<rj-B06jQ2?fY$uE!ma
zq+U<RTJb5%L5+US+UhMcW+$eTaa#WvTb4G5lij9LqpBlDP9GE>Up&K-Wsquky*z|m
z?~)^0No*s1VOwFjbj;`+d)CITK+~*x-tl+9893aG3N!S}0W!WrH>rpm=o2F2=9P@N
z05ezU7ynM>tzbv2;St5)14e<y@-EmEhCpI?pofAcHk1AKt1vDK{lU932CozoEVDkG
z7cvmhJOZez9?9{`h8(P2!;A(qyonoy3<s{pLu&{>oy(PPB6CqPY&eD)GT8Bk;kDd3
z8Q&59@xGxj!z?cUK`^%44z_}VVAlQ79qfYQ5t0@SB~1KG>1vafS)W<J;yuC8oHt6b
zqYYP{+a^U|bOS#TKcV5=k*uAe(&9?+>`G>O<1ObaG1`!1k}Fs)oL=A(%An^ea%Kem
zqDhw6r}q>l9n=k|6r%(Uf=*mIDR`JIA=V&?d*F%i1%tL+pk6<u`;bIWl**#>h`;*F
zF>e_=*}koZCwSd&f>KQ`=(|w`v)+hnay;t|_)A(|4^D|!(;BdA_c=ZZ9XxOCbcC#z
z#pDH$!yv$7M}*Ie<NS6d*f5gi2DRR(+`+KxQ6{9v`$|2sM!G(T1~a(ts@TyhF{yu!
zS25%uk#~pZK#LQ_P#ai~Ryd2<Uj>%8+7A35WoI2#RlB}x=|wNPJ4BF{mQKL{1QA?x
zhlDhObf=^OQi{?@N+aDV-3^jb(s<s9dw+YMaem{BbN>9sCv(pA_Ip3~b3NS5Ni{L_
zny3{1x8mq^AP=g8tI`2=3LAXMjS{%h>xK9NHq->&2=5jEhsE#G-)w6~NQz|iJ%u_I
zrPd?Bz-}ALdPr4@@hqo|I@*U>X2Ct}wIoANRd=k=r`Us~ZX@2c!UH&RHk9=lzrk+D
z@as?Qdt@1y1`0AmkhuA)C9!LAwX+f2qIsW%3@n3tud4ZME!YUio!RgkbY1#O&NblI
z{q?aU{;xN9=&S$aD@M~k>-%oe9%4pDtHrZh{qZHa8$z>LEIyne#36W!2jpB?TR?Z_
z%6y((RjjNqtgt3XDvp%GX@RoKC|5Xj%D;Bwv^!~hXgXcn%V7d3ab?Fez<R8S9)wF}
zwlCEMNuh-$mmszA{qAh-i<Wm{JiIR8#XD{7LTRcp2uW2^1uiR80{1)CkmBeZYysc@
z2IB9(Q;A%?T(&2M-q1c`Sk9zucfPZ!q+h#bM{Wnl=r`b(fXo3GL%QDn9E@Hq?)(~z
z=jjf<uTXvMlj86x?{!9r5t|?Meq*>b#Pmc7&kK9V5ApULe+-Wj<?#x_4a|gy=>894
z(<P97cIqsd!+W<{PE9d4NJ>QLS-1IPp6dq@57zRrsTD4&iwQ}J;8`a?&wbI1BNAAy
zw$8T37IK8Wg<?g!dLT3fn{;wTFGWI;un~RxJ<28XVd=A&+g`2CY;0c2G8xH`)ARG3
zx^6xp(j5=Y$(OjL!=Sg&)jd1X4?lyfgCbn6mB40t(tmpao(ciemD!lCtL}wJQz*UC
zWzXu=_UE$j-D%T~1dbv<10}~fjNw2k5_jX?tT2#<Id~mK5LpuOf;11E9dkX9o-f_=
zAe2Qr9($32oN(7Jh5=E}^E-qud@*=a$^a8be&kk>;G&*#+A>Y&B8VE{*gByGhvf6a
zg(8$SFkrV^v6hn>4S&gA^YB^vKP5R$y*x{KYUVj{iq7WjaOJ}g>7XLckenk|RVb~>
z&>BBqq$_6K3QQO3p$;nAaP%n}K3d8ZIo|dtesFU&fny00(7&!y2L6>HrxkS5sFIEe
zBTpGodu)@4!vYnX<c#h>xVQ$NAP0TK3T}yGXpIzV?rm@U`mry-ROw>uTLPsP=GXA{
zd!0S?7UZILxA~kw9ZN20p631;7gcuYuFy#xp-G?tXB3>)b;bb=TvJ)AN?E0x)MlvH
z%FOyoxrW(1p)6|0qyYwxqX!_Hms7eeA>O@HA$W^pMr#r#{oV`MPq#%|+D9Pkfv2-=
zj-%905gu5X@;;_(^sqx&?qOoZzMA5#Ulk3*_D*Fj4sxmFiu_lkTb0<{R)|<U_QCw3
zJJWzih;}~vbA9#l7EFUM;!(sym*2A#)JlYJEgTG6U;(K{5m`zHt{^6b^Ff6I6?>ew
zy8#%T3k*9&7}HjjiGg>ikRPr_>fqo{Tzawh)ZG53EJ?=P2pSW4Y|k0X`m1k16rSc&
zdy<+b^@8Vq*K}~CorS`Mud_MGFc=F73{VyH8U%Wrs6Xi{+CfiajCcs+P7wJI7h*yd
zNn|*i>lLmSzHNkKJDi;->_z;BFTWLhH)25?xP|j2K8o@Ss$J1j0Sjo<dtrwxO%IWi
zM2@$OOdh=~Axx4H>A!cTr>jRlJs?s!B0tF-KgS{G`Q9%!a(@lk7@kEukS^l1kr}L`
zeh#8lldz!(UM0ep9w1Jzb6;9u8HdZA?+?WQ+baCFYX^t7|MR!8RklkK*rBF#(ryfi
zc!$9G(#viyhk6AfT007O*8bo=`@VIya-qMmSGJSWi#6*DNyZeE8}gf0<BEe835P4o
zCX2@aHJ<4VS<7H#Rdgf0GK%iaX{Lax>I3#WkU5GHiTr6pz%;(tWR4`R2pDGVj-DNK
zOnm7zNSRH2Sb?DdNN8_E3F}X}#9BMP_!+=NQ3y^Rp3o{#x8LT<8o|%%;F2iPjUhcx
z&%g#I5E2GBBcT<U70Rc#>rE)?U0f2I`c9q;co@<xqy2C1q>K6!44k%1xX9rzg~Vb=
zw_V|WBu*d@h#pV^&a%o^yPd(0yyWng>Ap#HqFG@*mr~#f)1_cj%OQp16QXkqXSMrK
z$?0@O-||{3YHT`Aio`&~GTh6lt?JEM5lw(K2a0hX`t%`d*sR^M;xSI-aHY4%8I90)
zb;iX?=axPq_qL&y%2D;v?x24jBhb!4#UA6*sRb6gl`edf;FBEu0NymoFm5cG)foGi
zCZ5vUh_lP|N2F`HwXDA83?4awIj^gn4<j!64c_oSnbCP`eOV%?s(6m%Oxde;_Hl*M
zRc%Cp&<kx51!LaR=vul!+jU~l*Ix0Xt<1xpLe;ib^8X~N&gaSc9142oF3Yr$Sy-@}
z8KCJegsBI7iK3j#+_`(~2!G<@^?{d;8$U@<2`NZmH!w4F*3)I(p(8(mSmuZ)2-?OJ
zz&57A++S2p&j$9zYwDsDiRGRzeqS9Wz0RFf?rs5}2u%o89!e1FUQKOvYSucFM|p6~
zk{<@|Cu(5pn#lTe|MFMMn0<#&fJUa(=?DelY)KCPBXP6*2Obwpetd>c^;HNXgRJDN
zcQJN^S?lM%Wx-XLenfI)70B}V!?<rQRlMB$t1B1Nx)DtY@Zl5=xKd%niOf_}kmAuf
zl@jXsYQ{t9Df;oFLKV5-)&zK|RJ<}Gbe7`2#_h3O3xmv!QGv{3IYZl#9JT(=7%*F;
zs2xU4i0G$+&JPqh{cjDs=rihnH6+R;$2@ts`QXivhr;2SBZ6yk#lLDTJQ>p=`^krz
zjeO%yO6`csJNOK$cfoQL7WnCa09ge7{X;N~3XVxc-XPET(043PX~PJ^fXvpnbYcZV
zs>5vf+XtmoVQ)LNX&T}Y3s@1l5mFlXE>V*&O-~3bxUXs59mcQ-TSQp;MN5_`9yKgb
zqB?(X3+8r0gb4rf7gN8dhA}hA6Lsci)<OP_a*7x~@X-~Ix*A1@OOS7v!*)KuSl2#1
zLypsS!7_VCRDp`;`#5~`dxqb6C2}z2xTDa}<?iR8t<W5!jc0&x!#Jfa+?}u$=@pVK
z7Yt)vdZWcHBMK3R&giQKJ2RoSzs4C}#4c(o%aLG{g;Q**=n6}sh&1^`M2jFUC(gd$
zs(rlM8sdAa&Gl042&}p}SOzln!bC0aR_rdT_&p@}mY+)7^P*x1J^><V_wpfU<wSFu
zc+0Iex3vPo<39PL?^r@ABb63Ly;AY8cSyDoieKWZH~b`=g9QD*iP;4s%TB_@VRX)h
zX_+P&ui%yh{zL-kd|jtlEFS%VQ4Z+UtlzQEYU|#$^s4wZ@_bXxdZ#}U`P<%wa9kis
zrd?K6_cX3%g<n#wo;*Cld&W}aN3Mo0%;K?zmUnJtJ7Cuk!+Z&uZk_r1NR{*4mu*2j
zNxqlM^%Z#qMTpq%_QJEECd@lwL9y*pt8+{<ypwO&9}>L1fci`vM~(3VFb1)-Ofb!#
zzJ@a?5pp4_zJ8_Z-s37k`M^<yj!Fzg({70f@t$xo$I6NGBs-A#!xqOVL4S$FJd8*0
zFY}=jTW=7p73<D2YzoZ^$;WHLvTtjFqvIn#QT4{*hEcHN@5pt98v9NW;#>J*!QL|F
zpj8>2inYZYiXP$H+JO#R@oQ9U$uYiMe?{UPhIbsq_VmdJvc5fTTHyT*y&;8P7>Xkd
z2rS)uN-)&tv7OPsU%B8c&sDPok@J#QHPHO=+(c(ibu>E?-_?XaWt`5GSW!9Ch#9oR
z=576|z?m6^TK(MQt-Or>iG-p=_1A-3{%R~)L*G-rafIJW^`U&V2G)qAYY|Vf5SK%a
zeL01ZisX>q%<}1nR%)Zi89`FJstM$W4Zi~-g8h67mXhKK#gjMJaH(EY&vfRK$D*q_
z_l2Sl^$CnB5!5GdJ{I^)NZ@l%y2k#)(xsHeyRC0?9{Ia7M5wKbM+i2{2-y)dMn<Cr
zhj#x%#>;uMA|EzsL3&h(D&*YL#CBXCEaL!q>kpd6$Y<b0owo;;v64YQY*Gz;j9nBB
z+KRxY!`lxikmAZA+eCIZEI*e4_>Q0~v`J}Szs_G##r-k4ZZU8rW^(DGT$D|$=YB{#
zuL6h|eM*5Rz?6-41X=6;=73l^fy_@P576?h<77Gh62~l^RIRW!xF7C=%>D+CUw1dz
z^58FDjbkl%bZ8>6z2E0uS3>q`IZVy<B_9?_?dSqNovJ$j=GJ#B2wG*Q1}UN<&s_TJ
zG#`3Cv*pl|{>y=+2~-0;=_)ltH5^9*TZ)Q=)5t8*oBZQuu)W?mx_mVt5n!l8rUkLi
z=z*$fpIJZK<k*Q{+d71@4UBgtT=r<6kege%By0mxUwlU!I-%WLI6%Yv&Zd~q(uYIF
z*U!CxoWxNT<jBvIN3D#88kK><jEpUX=!|=v$VSH)JiLY-_{hR;1cRrAConb3>~u52
z+WNi{tTnRJCcdM|YsNy2C&X=ou$xhVU-=!k{>;N=X-+V~M~LF@5sSMDVxtX$#(@N9
zt|_W+DwEinvrPhAavw3KFmB~cU=a9y`p&UQh>c3<xge_jq1=`6Lz0w@>PvdIqX!L+
zeEX%@exGz)4jNihO^5<Y;<!OxF5T-@HpsTxNeFK5cZZ&7;}ZI^4J~g!w0LKYV^8)R
ziA+KXk1Hcbu_|q`h9Z&&-Eiq4nXN+%mIi&lf7N#qxE!&_4E<zV$LwI>*XYLJEpw13
zynQCvDSy9LG=N^qK2mt-V}ykaCKC)b3~xOa_H2>sV`Omi=Y}e)rKPUwJB(@j-uf>X
ztijqE-}7FiUvQ}z*hK{yGOKE2JiC%y9bO)-s$4Beb5aj6;dhD!;1Z&o$!mYy13_i2
z47_e^7LS#m`HEh0(SjWv)TormI7LTf%h=gv&!q|3-Lo78!ycitK&~jrVE<35oR$j^
zlkkV(lxxY3Pr1IMZQ`)wn4lR`S8zQ(f|V}8DAud1Fkmb_XhjRul;-WK>+~3K45hd|
zaTsHfKS-PY;GDlgt#dE)l|$n@?kWY?5Yvi)71HhpFj+guuu}M622^$&6O<xb_Gy~;
zd&&btoQ(rXcD;is@`<z(tFUwg&CsEt^o5r+CyZG}ii%hPc^+Pef>6`S<(3;jTf8Nv
z4>k+)uURXRbqsD*t7n_ODmhR8EQQfxaqq_N^L7Z=f%{v*YcA!SmM>!@)FWykw2rd>
z=GjOUG6CUeOT6HB0u9pq`_IsBd5bKDBZPK{%#kH+{gP&A1~$K=0w?G+Iy#Iw$#Qql
z*GpcYT=C5c)(MgM*{oMvx19NPR-3PXO*%CMRhd~Owz$8#*>Amt<FW0lRVrMoCb87O
zSLW1RlIO3B4zhejEjR*r(u6t4B0b5k?$aV#Mwv`v6gv<_28<OCkLcY}F<1yf<o>7c
z^S#%^(XIE>gFQyD3i#a}^okk+log59xPGu$-D!FhJ0t&G|9bT@)iJiAGc>hWwuwVA
zPcw^*#eE?x>-I_Cs|cP1?Z>Dqm59ejnw9?nVt@tA>g`7Lt_l&tU-e>Uo<x~ll`pjF
z0je^BGeJ36$|60!2tB)t;+s~{kbNkB!O&|Gm8W^HNRU?*Z@HTK=@G!g`*5o{lNz6B
zpfJR+fb2!>tisZpF(gC(6m^L?x*6nc?;w*T@*=CfQY_aa(|zyQqh89ti$ii7wL1c2
zWWE=ZYP(5r43M$}Ssj5RZ>u)_IYgDn8*^I0{rDODJ7-+2&aB%>g^Kx8>+Ej;d;*6u
zIfb8js6&24del5rB*lZO-7MK)Ji#eexq)i??v29OC=CIB0)vR!&eF$Sj@&&j`N<W;
z*-)(@@eNw*|3zhxqNjE9%Ll2VQMcIX!`mNlGD!t!uie5Fcn#cpucixD@wBD`q@cUr
zy?cLuR>o%nd*xtkIiyLZJM=1#TwnXYOnrK+x}VDNg?JlXjC$l3I`nxcbhoS;Zp^)7
z1n`plW7=mI)W}gQ)sJxFZDx|bJW64W0nfAW0ZOpI_s3dsfl>nWK23a9BWx6Gql4Nc
zdWtg>s(Zu^Uz^30M>$}=!d*;dAgeXmA5T=txRKuExD=kF2VFtG?P)kNsQ!S-F|lsm
z*L>va+(otCzn)M>4@{ih0Y1?yY9!Zlb?%M?^?b+SVW8)r>*|bn#sNs6|HTMr@wlH+
zJ8(~Rm>w>fp2Uh@&xFcOfrLh$w=$<T8zAKl)_e}`Yj)t3^`(ZjhSI)WhEWuiu~PCq
zfPa5Ul=KKq?}1-(S|KT_+(BOU7mX(js<hy%y8UaF0Yxc;7IjIE`@9MvBH$@QFnCs{
z`soN!!Qi9QcRJ?r{H6Gpb1dI&Ab|AXStkGph7>aR=h2-GT$#IfsuYlUsD6DEO&|9W
zYYa-^iq&fQkpCIemk|ov%kd;Y#_2X$dgY@TUDa2O9JCF%47WcFSi|aPeoe8(j{iDG
zaFQZhg0EKzPn`oE+>B4K)`2vo_jkBv79i@8lnd-rbvfejUdr`@A3~EO53^yu5GjZQ
zN3xz1{O?eBi2kcWmEv%0Ct3P_(R8gD-j6fGOffDEZSy}w-!<UBs()W;7p6}HwuLZ=
zWrO^%qAc-N0d;iHb~5IAvjdk4-sU$Wrp*Cv)ODlLPYmQjxS5e{l=$6W%3+^q!Y$`H
zURqmmxEdl}T;-1SLPN%nAhV4g>3N!>>^`<v(buVs9aU7B3#Oy$!B<`bqX)Jwq^I({
zeKmD5=i)oHsisR-Xe<n>wy4AX-^%wAYU@We8hDBzB`FRxQPM45PIS!gz_*K2faM|P
zG!rbLW$~kw{mY;StC!@Ki>a=j`u(Ficn-_ozaJ%Z$+is#HUFBs8&koUWRcPjmqz{y
zRDYCwzd1ablgt5<sd637<I?7V#dK%)z~8lVWXPitQd4J%zw52q*|%!2mkS8A+_i6B
z{__8LdBkT^?Pt83RI!R<FS~2%;5bJS@Epy5y_`KN+aigF3oWm^Oda%r${>*r4xtZA
zmKOPQk|URmDtxaZ@<;jdn%pXv8~z17914vb;L1}7`}D!iaz6iAYPXu5Ap&ni)9l&J
zr|bM5pPp~2oupOZvEF@q>$i!nUhe+WYnhB#0wuBe;Rda)=NdY*0S?*6A)8Mhg279e
zkqh+$qeq~xrnFsf)WzU>*l4-V)8o>1?yZBc(LG><)?h-mTz@fjl1K3I)u=Xk61ICn
z3L04cFjdElVs70fsBiwBm+?)u!)wE_%|=J0`>xs5M|acNMDXz>w%uBgCj0mAk>Zqd
zKk^jCr>Tl7`$EG=qk^3I7I1{~d}ZI*8FZjKNARXRQ_0gCI|Y5ld!g%&>1!oRzvHQL
zp;xi^wErAy`BheNsY)dDw*lC?I1<;V#)rUx{0>mlRydDATtJAUusl}Vrljpa;sn^%
zrY?baIEz}yHvcj6G*CiOh4%F}?++j<wnpBNAHk)}d<?Mj_G$sGFA~a0>@`bynJB#H
z$qjMN%&J!t%Opo*Z$_r)&gUl*=Nn9b9x;vDf-<=^TkHDk@By7CAQALI7Uy?KR5o9w
zhsXWXxzXP=1>PZ7A<R)e-~RL<uGjnekd7a`f`xq@!gB&`m>(E00|9D5OIcKqNb@27
zYtTWBKN^xgQKh{(x2$dN17^AhdMZcTWcr?lfJq`&wiL#Z3`s);09+C}$GzI3ZGh-L
z=dfdl!3XO+>hj0IHlH?PCKq5z?b5b_yw@PR%@|_W+>m4d(q`S$1-LEOfajS%3GwQI
z-?R9=A=OKn^p7kL(wsTJ&_Teli?(*Men7{Qz+eL`4nePr-vS`*h@IU4gU<8oBxtWk
zfOHt1Y<GtryG{708sTiZYy_O8{4K%wLO@!?v>kr=ZPx6~pDWiN!1uY}Dnn-?YXDA1
z0>H(dTn!OLLATh}IQ=wAd~Osvc-JqTgSc_Q@A^+uL63?~qt)x{R-z~OFsSW)CQafV
z5o%rmySC8f-O^6R(76;IL%$CkAXhxI`uCJ|AK(z_$BM+{sCx+C{yV~Ao!Z#*3yeS-
zsz@2=zT57cLuHVxtZkK>z3mF(FHid*W46nb<rg{k_|3(;JY1Ty3B~Xns0GjAVV=9B
zC=q`kqUghPiCK25yU$V3ad;Xp55k)^OoEStsBC!vgr@qv>zsQZM1SG=<-QIazkE;@
zCWVk~sym=l;<j_j6*{i>SAGI%$UoNF$o_yhf!Y^g>2rEo&s^@BjVyGM<<Q${JYWkK
zki0sI>w~hq_<<dK&xW)4^b{oc_koN)i)YUb(Jt<bSvH&--aXl#{1E{%He-i`=G<BU
zouGY;0_6lyRnsSdN4^)rfJ}SMICQ*+P$ZBASxS@&d=6RPVB5WU$C0;!Lm0I?l_?a!
zM-EY8zePdW@r&5o5R$d=`aItfkQfWOC52|4;zWLZM|qi!LnYWdb^+3u1%jzxh3t$M
zR!(*I0*_bXvbCffZVTPVDBWWS+A#xgDrFV(<K~`|SC@wa;MeNkgP3kN8PwIGpP9YZ
zHZOrQJ_SM)K?&|hz?W^|rBEL>WXJHs27DAhlwqg2P97}oam0f!eiXAKgrgl1a9XuW
z6GHwD&=cy>J%2v6w?7P&FpA<TACz&q{`#I!H0?e1k!Cn4XD@iD&6wWnmyUoM7<ljY
zK7Xe0?SA17?3*=EOGd(V);a0J9~)Gj{_FECZpgV_2Ed{zAW^a_s_pbV-P+4^u5_~X
zyiZ3QWIfjks-iECevA4=(|n=~I086ST9-~+W1M@eMl1_sF<W3u%=Q{E>`U&PXh~ZT
zyMlnJ{uua`#>boa#exu7<ti;;1ESAJZ*l#`(c^ZY@^MabCm2Yt`D%Fup^qZ@Ml8D9
z=W+uy*xC~Y(MP3WD>71Y+)Weq;Ygp*j}5xx?<7u0_ntzORrHgGIL+QyTly}G5CEa@
zg3cB)4eY)wA5s|mWisTyeY`h6Uw6KlU&(s6o4m&SgLC55hoh^L`4=dMz%O5-&?=2V
zW1{QaneMTmgD%pvV1HI+CbGH#tnBwtF!0I)Fr1sUBsWnEo4#f|Dvv8w%b<6xQlf?M
zK@d`cd86^qRk7DKKm+mir3igv=F!K}eRwDiAPXnj2%gg>+HHD|2GOPS?sd2k;=ViJ
zU()%;bJcE_R?dI-Lv32>3HP3)309Ro@^m-8jO&0{w-?rc#Zb~%8=pUL8Y>?dXz%X;
z))yO^k9QuV`$~Fsli8i@&T_sFt|HAJC}s8_&tHgAZ<<*C6Z34U^WCj4r&WO)M)dwj
z12X6if8-omV1_@?vZ|)6^0i5l+%bG{Xa;Q1fA#BF7n%yaY`FUU!kRvTF|a?{DB**%
zdt07s^`YTYq;cyp$q~#k1L82SH;hJ!w39A#He9dk=y!!5UxGfWOtB<iDbTc)9r*Tp
zxo802`4kN8mtN0npZ|zwC-N;n<lK3UhbCAt@jS>gbD|_Sg76Z!*^}Q~olhPQ7v`VL
zI6fJy2^ViMvz$RUFm6tgq<U*J2Qd>}o>G#jHAt%bWKT9BCJu9mEj=oLcS1mB)DXo`
zT5QtV%FC|{neR&8mD<ako;E9dFkonvT2&z*UI?LGi3lV!#gReQUKA&0!9gPgQ~=Ks
z`mBOXy|)uyP~LSRgLK-Z@If<jgtSVtl02u}kWAb6mrgf%Fo&aiAfKW96R~E@q2;3#
z!HOUpWtg+6+ULj-R|vfT@xkgnj!U~KS1KBaYu>HB#`{QxwjIJ0b%T<IpjU-iKl7Qq
zn(zR>?2RRfYQL7Wh6sL($O9#&6$-ywzgK$5Xa-7B`tet0l7zT)0HO60%iK!f0gB~H
z9qws4Ko?A#!^MeNaby5f<{02RlWGR&Cn9kBon&Y!f@3}z9cw4b;TtEtL6b#z@K6fN
zh8o&~DCi3HHyfjj&*={B6r``|hM2h57Ql)}8iBj=)}fC}*tm4$j?)|BeA=7oo+L&$
zW;F(nFdIXfiC{3b8T|S)u$#K3p_G9bC<1LY1LyrU-%ot)cFaFU?xC#Js5{f&OlWT9
zBh{VfFVv>Ls{96>cfrg43jluY2IP#N81M%a)l%DqOy8<L2!39Q*%4&I@>zzrs8ulc
zvCMafkz;UIE;LPyYCVKhzba~D)?=&C?7eAXiT-&iN((L@NYJ~8A?}2=qXb}Teg@fA
ziQDyHsdrw9X`8qs8N=IcVCZu8t8IV+pBN+Lwk3e6eC5j6{`B_t*`fqe=;3Izd|DtK
zp`t_#8?tJKft=>;e)ulfE-LHG>6lXa)ZQLs-z@R*z6`C61~q^dr^6VNA5|V&lSM3D
z(?k%V@3x4hvUEygOq-1_a|KQ*Iw*Kc7?>^ftw}<10kW%A2<a(Rb%w}G>@K5mu#UsU
zT@|9&dB>>VSf1moV!dhv87I@C{9GIPpo6MIXt~5AWCaD33~B(T*}dZ>S5`1V0|>;u
zkdMBWIW{X}BBoMeLU%<tJo;+F>~YWO4RiOsftG)-#W@yi>s8vN6z!s2=Y7f1!=yD0
z?V)KesD4R(M?pz4oEL3oC7$Q(CCJ{C`g`b$-zdQ=eM1Y-Yhzm>xH3uf`koj@PZrSW
zYIYC2D83<ua4z)FRir%HSJq6$ZmSYi$grAJh3-LvhnaHGANc#t7yN<_I+`Jf*$cF;
zJ09Q{TyMcCl+d}zwv#iJGE+0jrLE|7`knb7AJIn)wQ}+AS_8m<j_PeF$IR}^UL-qh
z9N`$r!lOv%Rqi|+KrLgUc5445U}1p|W3jc0L4UKUF`Lzc{FqH*!T%inS^1=vBC$}v
zwe*3#ce6!@CMnrd7=_gx?+zY+Cutm>f(iK!aT4`gZ~GEX0AJfA;eIFM715&@F8%bg
z5WV{gDzOqR9}<59Z@Z{@5RX*&s5#K}3_280uD(+*T{0<rwbLu<lB%UxhRY%5ClVAa
zO@l?0k1U?B3EuCCavot*{)%9JbI;nCY3qOxMLm;SYWtlX+e?E^Gwdz)Edks42>E&8
zzKR9~l6nBSMQQpL#lv+bVGzfYmV>R}b_c~;!(v>+sp96A1#;bK>1@zTySh%OQZiC`
z&1VBPN^(hRc0sZ!iQ~kr6|#Z!J(-!5l3;cLk}!wtN|j?m<guU>5_9xsmfOe-a?#vw
zN`ys(RqPA9AvGwI#z=jNM-#Zq;UCJRsM{4WnPF(VzNk_R`VHSD&sK<P*(48p`5oCj
zB(gee%f$5WIV{P&u4HE${I?e%sz*x_ai6!qVduL!oj+0*h${LpsBw>Qd+st&Y@=os
zED9>6fv(v81oAwtNr~bqkh53vm`?r0t>F3+<mL<h-6yBZ(JzD~rh1d;Od`)6uL%+o
z>Y74zmGm#Vs0gDDut-rALs<RT?blf6%;C{FSs1yWBZNipcR=*sUaR%%N6C%wzq4TH
z3%C6PvpU&UhLr|~@M(e~r5M{8cQws-w<9#q=^r1-e3dqJrb6!ha94e-U14n1)YtHt
z>DNRaR_)skZDt?Z#i;{nzj@Z(S=#b0Iu;-U%NlXZsi<Fa2gT}X&EgaurU`%a9$|L3
z^uMRUB4ICOmn#((EiI?p?+nVa%<y&8lnk4rprYCpFb^gIqSm8vTU|L<HLTc)mz7^8
zZL&a@yC`4ga3r+})q2%N)hJ<EVnT_O6V+c?TzENdF<AYRi|Sp~EHmz~6*YYsnx$S^
zF_)DGgYekmH#q^!2tU=n5S>tK^iV-nR%vt?kL;2PiV*Gro=6LEn0}|@wt`G6Lig1u
zFPX#wAj)I+`!ehVJRG(gTCw()*e=`T*HC5*FuF?^fpK3r|5<@VS$HeLQQHrpkL6X=
z;F*;^0J1L$pDVp6a_Fh^8#GqsX`o2DOpDGSF}{D>Qn9lv`#ZOOwRRGjpR|B@%Nmv%
z`p2Q5NvGyjp`Yi;`LlrqOrrs&vN_f_S8~sHMkxl8D>baFPP2WcC?iSU*~hMTc#6se
z^CWP|fYk)^ya5r8q;Mw>4dYtvK-iJYL%N*F0~MCTo%wLFCghcj9G71pbM-($!{v=0
z(Qwdx=Kjp9JxWrJ_W0Inc;}m#eWTBV*D$Z5ch33QbvKt|tK8z@a+bbxoleo%&ru#<
zoc><XIdoO5xXld_uf6g}ulymYV@P$k%|}<zB_<9r_E6(Ve7@=lKLXF;=l6t`TsBPl
z?h6aHH$Za8*URp`9WLQmn>Q1^K|F0#d8b@bCY{4<*6L1i!G2Fooz7-{`O62j4WG3Y
zhsV_R643u1MY1jBU#_u7SeNOK<~2f#9}i(UxK{TZ{(bB-s(P9*DGToa2{Ij9+1Fgw
zm!(|Ana5wII8d|xelgMcA`G@{UvOk{3~gu`1JIxUZ?|$Zfx@i3Sb;ZSAy+fV=aZo~
z{wrpf&eY{`Jto(3KFK{e2F}DJgAfZ|rCW(1dWHs?gVUMI5=YfoRyy*UEH`h>`u@x`
zK&t)kTYIY9HFZ;YiZ*wjt^zik5PCT|aggavOZ<O+vOKqRx+U~l;{Q@2NJh%T@|16c
z1bN@WZkTVxUj-z|;V`d8*bp%~`=wiDh+~d?&`6a$5fTTqp1-`bbNtDB=jc34eI#@E
z0B0w9aGkx-D?vT|ru~(hw2$G)tN+@YM5dk>nqn<m?TCzup@K2Sz;^YAAChub-R}`M
z4z6S6Kid6vCw&B@1`;&z>A%y<lPGHSETcUEjTrha|FH}`$G;kJv`B|dk$hZ+I}f)S
zQiON}p$^Co3#HAYWgf^5dVDGaX)A$|SyNtOHx23X`Y|UF@-d{)WqTE0Q~tyZ_Td?O
zo?{A4`lBLJe^dia-l311k4M7=KV}j(+(;{iA9Gyh`zad>dh%z}p7sPtUHwZ_YE<x$
zk$YmC!2tDOMv}E@)62=yY<GZqBPvHkugPQp{+XjE@zsmNwZ6kQdbpiIkW7@9*|(Zw
zeAB=pJeu!iGSuOJC8j$&ML{00WvdOAQC?0+CW^^VXv;wCz&M4Ds!?^5PKO=|PPWzo
zc4k@qI<a`jt37|6cchNu5*UVQ!Y$-wQ-9(B9McWcIn`ubku+CM1k)HAy-8L4l%3ex
z%Sq1exSyy-A2KY+->i;lH4M~9hSX6BX$2Cfghcg{*QYJLplZeF_%P#0)iYB6R~1a<
zGeFiF%$~bTZ}fV*B=`*6NO#s9k{+oXd7KC)X7stuybJYK+$?Vt+B5Eb{iitbz+3S=
z8Q9z?PW~u$NjN)0;H=TUlZU*pkI^RW(wNZ5P#(1#O|!dcfQpmoO>R`Ie=XMx&Mz(Y
zu$F_ymT~jzLqq4Fly!7mN)y2FGXO;}j4P+CI3O`d05)P}%FCuDCewrKRixqHpX*-T
zztX30l$BurX@KCq;;tL3GCE49esblgBDriQ<7#^s-JZPvj}>*Yo>@Cfp8QX)H!Bf4
zruC>i%p~%!Kv^)Y)whbdY_%&sT7T0bpfP?pfmCy@d5GIuZav<A4d}hOpGO;Xv~jve
zqXu8ersvz)e>tO8_fJmTqpeSs8&Eu-nWy)PT98KNXY{t@4QWt(4ZtJ;JkM&xtSAx6
zSC7Y*CAJQfBhwGakQ4r;j4HQh4R5kWa1<(Pq#H5DyxUMa1!r|LP|t$o5K6iSh_&vz
zv$d4U$5l0)z;D}DpfA6w$q_DHJw>2nyWzM>Ni8impvkp4)is|L!2KA9BmOe*x8hOt
z`G|b74tq2CQj|_nNnG)aYHGOV2~ZcG)h9&5a}@qgBTXiS)x0tuF0uo5A#5-Z#9?!T
znX-LPpNN}!E9H1h+muCC1L$2JfDy;b*Y~I^6y8N&wNkXG&KyWEg_9c-64VR7Zwchz
zocbwJrgfqm$mX4SMR1OYeUl%}6BHxgo&Ut}uK8E0V8uJX@|lg^f0{oofaeH+m+zJD
zjZ(hJwu$E9VyWq_oq;j4dZZ4Cfh)94J-+b5Eyocx#rK@wW`=vkPi9taRl0hL|1%+C
zUEQLP)rrLEemZ*hWFNI{siGf{P0@jm`Z&K7z>{wvRIT(G-~VO-dUaIWO^lr2_qU&w
zEnNjhWXZK;xpSi|36vflrFmbw^Sk{rfLy!~g?IAR_zOF6s_S|HMl%DDE~OVqVcy06
znGxLr24ONszy_@=b|_HUy25?4-)J?G=-7H~GM)vqMO2T-_e<B5#W)0(5bx$x%;^XI
z{syG*Ho3p&65cJnEqBaioxR1N*@jj*{Hp8A!zYJ8TzI#?+>ydjRMiX!;bNrnABOUy
znly^!IiY#j9q6JKs#i|Xkn`aTAqGa*O)FQQ7piyn$&=FzVKao6XREqu9BXAqz(zkZ
z{Jo+TGZ^R;2x2W8G30u(6Zp2u*#ShWV2#<mmjF2=xVZ*k-DYb5p{Z<RuC}T1pD`u>
zbA<SPe8k3?Qu@V<9BXsTPW_w31o;4cUs?S!uZgCDRIGnd4=bU9bYDH?T7mxOrAt+|
z*ORJXCi;k$lHs_~U@4=l4hnJDtlsM#QwS^gBTti~Y`e7QnSRgH|6XC#oeb6Vx&k(;
zlSx}D%A^j2#y2_pfCX{0t!Vh7a1K5G%(r0wV;v?DYwyrzK|l91el_G;#EFfWK*WCw
z+00xAkfsP&#-AYFlCY6VeV5Mr(h$OmPoQ!=1AOrG-X88oo4wt__IQ^!U%ZMbdD*o-
z1Ugj5XjN;|gNb(q4!Xao=RQVDSOMsUd>MrHF8v00j%I4}rHN|)X`WR8D<Q16U<&^^
zrA>d9UrWRj`y~71MRmK1MYZ;_R`0>4SmV0{F)OyQKnd4=k@e?U-+<Qg9?;h(w-l&!
z+5v{q3KUwPe66V#+j^`3LC2vYP_cDp>9Zgut`7(-rq2Lsy>%}rz6Tvyttzhaj=rhH
zpG!wakkSQVIG7wh$m&l3*y^@;9=HHJ+2Cjz$c924*hTMX9~M?(i883-LNjV6^BaUw
zJ#-(sXE8|c2>2V%WK*7wmpmh#`PT}s?rP%8of!GIuXzz-jtfQ?%d>y9-c-^0trUeU
zxOTS-+)+K_fL|wjiElZ8$PNRI)}!5=1x3H@w=%GKsQL`VYT*ZY=Mc*~1sL2Xq|Def
zArTyi!Wkmx8y|N@<vrj0cqF8~8o6K&A^_jU$zGOrv6=ySyVL~L)D|Ga1tC16wtW-Y
z&dC9AO52?uZ<$M69X*AJ7Vki%r0MdP(_?cE*dnWYb&kUiZomIWaQ0u}1*y@8pmX0r
zg|_k>Mo{q6fZ8@rsEk~+|G42*(^3G@<F6ee!11j+zLUCmdmcCfrwB&?0($I?LhbKa
zSN*bX_WXAcj{0)X`wu@*f6_%jF&fUtmk&RPj*caLWCG&#7nWQyU8lE(%M>#?)A4tn
z_8JD$m~DAL%ysbYnfm|?U<TN(LG-U67b&PGr1B8d-Kv*;d)f37l8b=E6)m#gO2nzH
z>vcTZmz|_%b$yur$L(Sf2-{ze*AG4K+yrepJ%8|fgLx!CXhi|$>>d!%zlK`^C-Sy-
zJp>DpI+%EAjHGWA%3?)Y{GZK;V_Yg9mbFf)Z#CZUsqe=U^;>(qQB7UD=<z_tOhJbi
zxKQ27<jj(A<{jtXKiR}~0foERwnmo-1ESLbEPq|&H01f!{GaP_1n7htusO3G6v;u|
z2BIi0q<!PMxIkELzlwHB>vsU5PZ`e&TT<pIG=cW#P(`3f-j!Yn`v@W>(>QbzGl>Jv
ziV*7qg0MhZLLXo?+jNa!aTFMY5(W?tx4Alx7wK|J`}s&8{7bp*g%BQVH=x&v9F8!`
zp~}OAS|Fypz^9w)dhZp&9JUG-27}H7p?7zaV(v}V0A2dUlA<pCxA?%wCV|H>+96wD
z*D%8562$m~+uND$asUd%kni7hJwN!yQCv41s{q@Mdm>>u@1Ju}zzwBfLt&CNFemvy
zoTz{$5MUAlp36{rUHt;Yxc3k+v!+P~57H;?3jA(lOzpmJ|8@2Rdx*!;hGC-=D9+X+
z`sYmp{FD(??lR9C^Oi6P8R<4sEpiD+q&i0^r6(-C4`cKgLQm|h;0N1Af@J!%`P>_i
zOKRiK(R^m>J&%@LRd{bH$D6bDx3PnhLYU@W!9i{`Pfb2g*0JSGRSAn)71w#l5`+%|
z2p5a4A7BYE6P&VOQYoT$W_yxjS$6^K&nW;%I=fx99JL1NvMXrKa+_m?DJ%wRfLZPy
zFGiT2nJE1Wlu|P8S_GRtr<(6Z1t171^rS%)SAc~rv}(iO%zXM?wbCtV&wUdZ9O*{x
z3AzHOO~M6`_@?{xL+(0zgBn$LEk8=Y?-7PEgDh*vsXbk)#=+1WBl~sXIjl8IRNYRA
z%4!-ky3uGE5J2bVR<ZZ9A9k{|M$5f{5910>e2*18kgs4K@LZ34PqZTMu^32J5UX_2
zM9R3kg<(V2IR_zgrz2_PrWw43;-O<ZcfPwi_9|>yXG6Xs(?TwKwi_y3$7Ln9{ndYQ
zP(aKnM!X>v6mR>GEMNQId-foE;@=exspv!I)!V~rBR22#%N<tp<P+Y{ZSzH06^Swq
zT+eFDxQd@27X^6I`{pQsS`j(<k3rP2(5TJTqyaTl8domcFQ%YoGtXHL-|tq*_v09j
z2vR*a!>z;+l`l`T+|aXuC<=>0&t#O25~lhFz{@)7LCrzRu7I&IwP)EsB5Pz%6^J9f
zkON9{M4n3@xtRk*s1Q^(OuR^1_l}tIk>{!mrMn$S532Y?DD+rE@xURp4vNhAhbhoP
zl>MbO!b(&<8MwfR0)QbP;WKv51K`lz>ScWdAB}<=?fwNgNg&1*{HlG-VMG2gvN<4h
z>ZXF1%RO;+j+CY7SMIk6RVN&M8sc>CX3NMAa98JahPRInKg~0zL?z_#*p?90cWSVC
zel&S!dDyAJ;`xlV!03O*ado@4CR`ljF#$qM7MKr2UQ~Qq*_(P4adsqcOj&H!+m12L
zJgE|(Pk`<{wn~!OO%jK;UP;|0oBN6@<yaF=SOpdB6NrY5!8w&^Ht}11V99W-PRed-
z+lU<R7=aKxRAe%RwBqOu8jp?4#GDKdX&w876&qUA15mpvFKJ_ODbxyG+Rt9PRrL~p
z{;HlB-ImI8BRznrO@nl*ozFb%^yVaL)7$Di#zErxush4zutO+_g3=~c3fv=(A?28D
zZ+RoI*;9JqFZzkqpJ+VozsOV)<)czQdIPxSDi%%DsrDZNCq8bRo%<d}S7m2WF3l+y
zAdet6L7wJ(L{7v&1?e*d$sE#bX?k#Dq}<jiIjs&K7IEssW7L0Bk@{a36oheMUWgv?
zr+8@GfrD}Xn;ymMtd*GgBs(3)qExiyBzqa)H)!6}++HTXDnPO<((<__J!d}|u)Uyu
zR_uM%^Tss`RoYE>53R|!N{XxM^R2*8M=w;_mNtTejx&LEnV(O`=<mWov5D6Mgo53z
zZ85Gix!u_t)l#f*Sta67M<2KZa@`6$8FII~q(;3(^C5;&dkMZ0r6im=go8QM352Ca
ztHlT>Q|ND(Q}xcciy?&6Hr?oKzT+*0=d*{g5QsE|JhEW)UnWfs*pU7z@&#jP2F%ON
z^R>)i+ERCdL6$lEoR|gF64s1|MK_bQ*yy$@+Ovn`S_WTol;vgVNroJ=K_KVkcV3`Q
z19LsO*em(1LPpbnpKZfX6_;%C{xv^o$NM40h>Kt$>T-5?_|KFyk=5Fa-h*E~C@y2G
zESo1-Z^!|ypT>tx1yxKNK+m=`=tAJk5qs*L#Pj*^n!SdL{%aLDv4+SDo&$d1ARNxA
z@AnRV6yWF}_Zf-@KGl8n3uN0()V^X!jQJshQZzJ%NR#yZ4P|Eq#-FdLz@IaQzTz5Y
zQKBtM&GB%M?-NIP;031XdS^237PyENM?L)UB=tS>=AFhkRqEv{sax;iPd?vl3?%mh
z*^8{2tCniyNZ1*Xo8<6a15UYg>u9SI?}8Ave1V>+>Hl_hqe;+fl&eCmatW#g*L=C-
zWkbJ`x_hnf?EZ-0o9YUm{juV_ZkY4+j^v%Odp1vz+q!CgB-8b)N9|8RPY<j;`7U~P
z#KkP^$gec$JaEgbp|!dKT-`>|ANdy$xDV^1sm0Nw31a!dX!isBbml)hC%>^@y|Kh#
z2gpYM^gxUBrBtMUx8blrp40~wCJ<FnscsOyxmhDDv^=iVmt$MNR#l%lz>-JjEYtTQ
zqlCB7^Wr2Q)r7&_uQdJ>UMPF&^<u$RnzQ@Qw?irP-`&gp81E^6FJO<dMRS!yBD>d)
z=87sUA4$m+;n2oe<iNE1TGd!C^4<3gwV5mh2PSrlh<481COJ%59EDX^d4h2Rguf3t
z!ngC!2Ub_lL$^ac=f;LnuZz(u35lThn|V*aoc~^ac)SyiB55DSdeU7JJVBY<q4K?2
zSiRIS7v;dUejd@0-ReG9&DP=0UvMqU_np*3SdaY0ov+?BFE{|#^rLR>UG&U@h4$5{
zz+~@|<-=x`2VVwkG^w7w4maVdlUi}!ZTJNzZMRIRHuxoD@$&ZYME3HinG|QduM>s+
z&EtDM{ppQ2{*#*5;YMzNT@PZI@5w@!7&bs~Kcg?)sLV<DVsrVyEbRmKaOs@;RSwlI
zze$ex8C^WzlwPJMS#pl>d0yD1Jy??H3EoM>F?>dn-x59?j-ayK9^S9(S8@J~LmYuL
ze$nTQXxhNU(h|W_ZbTn=k5oC>BIf^#{#6C`0RF<_hDNalslTeb{qn0FnZB}#{j;@f
zfqBX=E|rUDGJ89ujMRyYZY0%$(C1@5M#0U-k?Zi;x>^(E5=CZ2|3s~bpbmT{gkqB!
z99OVgclfvlAnrE6%wVn)%eicR?Q1XdJWuPNACS4Gy?yF=sLnf&6<p<My|dHkPT}y|
zhDOid{?f65p<=7Jv*K+#7tIqJLJN9RdKq-Yp3t}hfjXR%c~y97n2iS?=WC!IDK@t=
zjgajO<L&81C5yU?V8`CC7&Fp{Po?Am-TqWb)?_AxBm1geY<0)&g*wr{(^gwf_9o01
zk=Xr=xPMnaEhN3^3^9D?IzCmCzweM=Q>Ltab+@moJ<jC2&c@>EXHeei&IgapT=aEd
z_Rz0^>K|Z_%)77C%+}n|7VmhTNh)BADEeT0?u;K!qd$w8D6+6tdo?wmwcqzhZnDgI
zQta1)T^v)$Z`vKIDaPxn=Z+Xla4E`Kr~4SnP9c0TI4DIYDO*)0Aw)`YBBb=%vZ%)3
z#j{}ZaoR5F7>;3(g>jRMpRL6G1lx`P=E7>x#%8uh_CLSTDy=PQK!|(Bb9!R2yjMLl
z_$fcb?@jTHY=u{df(DU;#V63a=%{n?O*3+Es^;v9mczQA!e+W1U}FNGiBZO6@Ne7g
zmJLX(t>#ZwfTFQO;4Y!;b$;}=nTGlCKV2rx>T5e|lk|J6W|2PeOVR0Cy=ykpFT6VH
zHoa}fFH@-rpu4z7uJRlbe96gg26kJFqZ$uehkS1Ql9Qni=h0eUisIq=fDkWKcewdZ
z>dCyfr1Z+7{AQI}qP7_Y8BQQYT(=RN9UnBOZcZqXn8bXY{h@%%a!M%cy>DJkBDWSr
z#1T}xk6P?(GYvl;ibTeRj|wSDTs|;Pidy$)I?lu)PWU^})!easUx?r})wIVOfj8rc
zAE`PnnN_Ih7t?E2o-YOHj6l=qxMV>>)Wvi6y(Vo}-#5*Trbj2&a<eJyqATZ)T})5r
zx!i2pmB6#jTLP!pQF3_~JQ}N`R3aPiAF4$inrL|in}KIT#Wl{S=dYiUaO*W@6l=kB
zho|;sIjv@@5Vce9*Nh3k&(L-}Jbt+zi$UfezE{@)Ju*qidsCkx<o(~z?M1W(Jrap3
zWDM)L4W>{Mnir@_u>p8(pXe?ZFv^>;I8Iv$>;G$lK6(dD(7=>pJF%quRpbcIb#VpI
z%XM{UPycjF_5ST;qcuiBn{Edi61Dph6kka_K)9ImgVXSXfbqN3Ae<{vBDcqp&_=I8
z3w^385vz-5gZtvz)^tA$J{LOKyn8e>1G(+4M;iI)o1|1!umuD(=Mwce8=z_b*e_he
zh^-@6L;WzP)u&?cHL%fHfTCl3dp%SVp2CHol3U>$3>@+d?uXpp?_*cwI6w=F8qMEM
z{U2K+#=rnvmA?QQmv*=~v|gp6lI6ClMm^2_w6-X}0bO%}?2r*=vuSv@?VZWrd8f-(
zY22}%LT200u!A^QFtXqOa6%5Pd<Sb!t~gK#adHOZ473G<iULbLt?y~07l?VdiJYJA
zCqyd*-$DRw$Aljqk@)Xn_rc)jbU+wQx}9Ft*?Fa7mw$Luo9mqMrxKNpo)pRBVjLx&
z44Ef>rjz6~q}>OFLnctW`ka94=#TV2m*yV8du9p9lR_9}HozZL+KD2kV#*6kz!2gZ
z=lV{}!|?z2seyAd)sC10OIOFm-Y@-+lC6s}K~X3*(t7*yf7a@No_R{H|7*|rV2NWU
zni_BDu=RXXh%^1~wFOjTQUo=*;a(t-2=%QH$Ylie7)YIWrZfdnnk@d=*f0|t9_9RB
z2AmHn3i}cB^TfzZ>&(0Jl#ddTtTSB?x^DmIe9HtC*)0dQNy>6?q0a(^{?e}ZqrC?~
zF%QlZUxWYrj!(+bKTI9EbzBmbIsQ}=bL9%pc$`))uV}p)aer&wvKrlj-Ju{#ixD@)
zhEl?xA;bL}YjXKV#b6pgjT$w2K_KmQ3pkFg4}-I$0=T}R^rcItzd49YCoc)s;s!ph
zkHV8L7$5z+Gx|$C``6&F`uh6T@YlS9iZ3tvkr?SZ3xn;%@Hlgt-tih+fWKL*I%FIV
z>Y)oJi;8r*kH=b}hHhjo6{xpOQrhvwI#b+SG)oxgId=V*^fyy=iumJ@*R#^L|2==O
z$M5Y2+;zYF8Wf9fRp9>}{LH!NpAYgu0pI|wu)EK{N)d*+-L)0>oOU4Uv-$ywl7s4e
z$rR68r|i#`57c`ei|TRSKX)|EfPoRrA(ODpv#Ddzk)%Tw4jMQ32sjlbM1e2!CnQr&
zLIv}jfcb6+D9*YC+nht6|GhhyYd6&Nmi4Q#GV_^hClzz8zr|l0Yxzc#lvq%vW2;~O
z|MIpIaPJ=urhB9Gyt_mO_HQr1w!P!s`lI1;AWV^RSSyzQGg?FvhuoiM7wK)z-j8X6
zS~Nu_Ta}8-Td+=}EFo$g``fu1x(pxaLFS9I*0Bm6I=xYAYN#23Xp;QP$O+-*JqPZn
z4?xJIY_jJ4dBQ)F^T?B9Z<D0Zc%_@{8*Rgm&96k)<FMy9kIor9Y)b?WCWRhc|DL}7
z_velbGh%+QyX^suCj(SKNg14MsXhATNm~ShK_5Op{-6xh7@OX+u|Up$R>7LEpTbq;
zjw7(y`-82}w@(w2)C(f6ZQLyf^hDFRXEqfnU|l{~^)cJ)L@&mhJ>4{m9e4~lk8WLn
zp$*{^qJRxr4wyKJ>VZ9$m5Tb|P_^T_FkcUn{69OXNPN}j9t9E0vUnKO|D$&m-b)XG
zAwG~uM&i*x{#3Ht$K^;p6=m4kE{xjh@jf4TKK(XST0V}T#_j6-_#;4~1XWHLVW021
zHmZOU+95*IqHq5>5ono<d<gD{8W1UQL4Wl>Z#*#uQeqy2cYE3gD^wHhB3XOD3SJ9R
z|9f8_+Ar2?&R@)(M11!jyy$mrU<%h0*7@h#n^)~{gYiA;a%zv7>%lSE<?7;Oy^8N7
zz4fN6lV(&?K-{4g2UjAfC!ITEc;9pJnPj(=61v7lpowJqL=EX$OTI^>KQxHfW3NHM
z&|zS<wX3w718Y%XvG!nLiUV;4X_#s_C0H|yo~5~8)e$zlS{&Eg2AcgyK-+O!$#Phe
zmCIz$k~QYwLz9FH<o@Bkgu`IYBsYTkXby0!<5aZV&fZr=sS{iWRUyeP&}3M+Ai3KE
z(3mZOc2b#!=k{gmcDknw_z%6U=lAu#g3^h@;NRM<7RMH=V}OX6Aany>Bm3YXKnm8j
z;rwq$Qz^9m$!fh|po-TiZiD;Xm)mJ>%}xTJpQO(v&qL;Ns4$FC|2Hn1f2P8yX0IrE
zM^y1Wfhh6-F9D=v%zB*$K54BUynVjKq{+(L_e5kWG<=?IZ8&&>K<y?iyLfT;G7SJ*
z-!tnae@X@0^Ef-dK54XD8wFMC+t<+3Z#Q1;*!={R2@RvWa0Wo}P{;E_@GbMAF5hNd
zK7yu92UWHBIlL1*P4VWuPIQUZ0WtCu2mvJQoB+}6Go*;tIX)|10`sJ}s=^w-`oDfy
z{qQ&k5Jg0fTIjB0fI<8A6c7Y+07{g1T}P<$pDkyTE9ayC#J<Sq(On+fhSBX`{0Jbz
zf7#AH1eHN~F@!aztt_XJIQM9$!t{!&7AHnGeat5K^bu)Zqu<ocNwOM<$+Ui59V9j0
zV=Ms`*PXy^I0Z-(Tly&j!C(y!e)GF5eTeSQsUlQg<Y%l3S0-eAu8TefJm)MBAc&*y
zw2vW6`y&Bj6+b~3`3tDE+2r)w7O;+|0OI>6zV|5#C#bdN1fn!QKtHNLPIi%>XHUG(
z<9zG7SW^a}db8~i3jK3jaQ`$|LY0AS_)a7_uU}F9Z=FLM5s8k$x32*{Vgu-(Lf~It
zyNLo%cAvFBpMLfSscjQq&c`VVU*I#hdcYOup>ao)K)Ubg8K^F=M0ES{CvcXY-hPAB
z52?MUa^DW1BA6J-xa2%OJc>~AgRwVsum_dXWPs=M6Hv>403*BVkZbn2EcqW$GcLP!
zx2C6VniSE5Q6-z?0*37ua4e6E5?+G+sP+OCM}LA9OyG+d(^`U--UFx>;Gz}qX?_B0
z^u&na_2pT>)RMMmh=zUnn2z;XvR~lQN15Un(|jx)kDW)+(tT`Z(1t0oqUU|(e8_;P
zk!M|F_A>nEq|&dY`|_$aYCteu=l6_f{$xVqI#>A53olnh!Om*$PX(ib!dr#yyti2u
zpEII&a1muB)TF~vCKB~MM)QWCSTE|d<n=!OIVg7d1j=79!fQND5piT)T!-sz_*{WG
zFUW|BYz>IlN8oo*>?0xV@7Q@yJI&MM4PEJ&CTMOzo_He+-5UMNB{ERt%x3V|U)VRJ
z^)aC*tF+Us+j3+%h@(-ei5R!zh=MrD&BaJp-V+xmTH-v1AoGdj)jcp|td4**N%<BP
z3AT@cgr$#v|JSWWwLoYB9i_})w!`@Dr$_1ATwktB3N>a(d2ZVxDSi(;6Y@B+IGhm;
z7zSY|i&pAi$hWtz!B{0%!?+Lm7Mie1u%rX^1HKEjk~Qdexn@_R;_YuT-B<RtWp+bu
zgqy;%g_&`UC|;;D1Ps;7U&CD%2=rxV>VXg*u>NbmPJ9z}A7lRl^z!U!`@mqE+#`A$
zs(tm$B)!qCs~M$ef<87D&^vm{UDIo^|LlA(uRJHgimsLRp3b(RV!O0R?~cU$9%DgZ
zlaP?am1avnfqx}(x%x?&dg^e$H48)NPU2}cT`RgAWdN?IQl~jc$P3B>h?;g7R|u2S
zuU~dfRrL1s>~BtL=PCBJxQ+}kkOV>9Sf=i4aMYw|Lf+p82ekK(X;6s+s6;K{!f;2x
zvI!2w9tu8bkT~dM`fObZq_O0^kB%_?Q>rX1KOz^n^!s8k94A8r>ZnKs$-`}@Rk-U-
zYF@%6p^f}!>hb1i_}6Tr*@r6_Z$lA70{)$W`lqr<P{~<^@6QN5eg)dn1z5grm?rXo
z8-PP;OqVl&ReX-a+7GT{Xc*EAuyZ=1H)3Gk$GC0j|9U}YcLNVH$rnzW4_)0~j^K~5
zyDy9RrsRrvR>JA_(0iLtDuH?)qg)5;3Lc|_5uV`4IN&$*&l+}Dd42Sri>F@P@oDqX
zL6KhJ<F_ib@<oyNejm8O-A|v`xR_4ch&U&MQVImO;5HLMm<%zP;xK$zUi$UXmo-&l
z7&c7!lA7i-R6W`$4y^o%@&UA!W-dEZqc(8?G&K&t(4<3OHvTWxzB?Z4zkR#%O@mO`
zGYt(QWRoIPvgNXcBztG?86lOuvPr0HLU!4EXJ)4Cne?1*)m8WX{oeQUdVash>*e3i
z_4&NVIgax<j}u1wCLgx5p(Tpnt3t-gU{630Pt;G=DkGf#+>-CS$JsoW_^}np>sz5x
ztGji#ba)I?wn>6U0*J2f+LtLCw~zh-D{5`opzs(*LntNVyw*MU3zb5jfkLqmq1rV|
z;nr670(b6)tNMi|mX~1prtIQ{eVWD~_?8$X3iUa}-y;-pK%fI}4{<!9b4z%G$KX!;
zk1J7juO|&ZB>Jr1uZEK5R@_(ZNU|)>suxhnVLi9(tMIDNCaHU{&!<C(V!jr#2s~yv
zC48ara{v0=>@(4r_MQb>iLQheoXob&m^owh2|>cLQl5;DQg-UWwe{*$S|{co?Yl}@
zBub`g>S~K?1jRd6we#!WNBvkHwzyn#e^efFZU2q^0zMaf%D~#!ioVgr)3FuHQk~K?
z7>AO5!;)4HgKx%Dn8A7Q5H<J9T=zW4V8b(fh+K%=rcP>6R~_IrSck^)6w$G#O%UYu
zJjH1asIZ>E8xnTlx8BF<ML=EE41-@=`&xx-30V>Sr|8bqL9PCo=joaHMH=(o0VjFy
z5~&f1P5l*v@?zbAeT1}zMNg)#hTxUlC=J5FOlk6+k7*XxJ=}AQ(siGA+ATPopQfI=
zVJu1MU7Gpk_>Yn{a|^X3s1rp)@64kDj(FcV;E<Wy>^@PlYPUN>^672{1hCK%gKk6l
z@h=PbySCk3yvOBAWPdFs9!Im*j|7&w_(gi{^pV1k<>kYp7_EmFSKDlqxCqslUyN~P
z6~A?*ogyD0A~KwGw<%}8J@pX45KHf4+w*V83AD@0PZ3>Rr|_U9xaoR9sCK`Zcx-FE
z2kiu2)$u$jA^9tc6?9GkpS_?Z%E+;d@hUM$lIR}Jiyl>Cr*3c?ICkOH_)(gyS;v=C
zmq#})`|wz9-*D6c?XxNnWRkQ|Cyc(dpVNol^6fG5g+ianIa3$>B7=2`Oh|i&_A^-$
z1_|cHY2h(d9f@%jHr$_V9@iaX63|kaZE2(M(qyRguJ|W#;(AxP3Op|uNlnoU`pEK6
z?qhz`jYbu|)MWCQq4%bKygc2P`^AdHE|>h=U^AS%QPxBszXpg)83nAeWk=U9*Df7i
z&(PKX6GX%y5V4}MJ3m^SRu!MQbcyzae~IeUhzkXkE2gd%&FCVy>iWnv6*M9CwR(Jh
zIAwgL<HgI0gA)e)mEO!puO22)E6-M6*U`-AKF1FbTMd`TDGyR!i5_!Br;)-dhDSZu
znMzDs>SV>wcNQIL&r6;n9V2`hqCSNy^dh9jeZKN+;*_su{mDEhx1*+e159_}bC<Kb
zbY{v9y(1~T!Lom1Rei}t@f}4o*Ky8KGpSmy0+CP>ZC4VW(EA^a3dO6{J=M<zZ!r)~
z=W+?)awLQyIALAloRgei2E)2(xi?Xa*;{+hd3tXnwsnbN7zTdSVo<UNdv+|&#d}`?
z%=wWP71@A8;r-4*D-6qhW-q(3kF4ql4>E6>=ckbjyIOl7et(weWv*9SLS)=WpY<H^
zHSQ6mGP)DfEo|K~p?2T4L!#|;UX9S1P<5irytxBUtD=;dNbJ&XS&p38EAnA6R-NPG
zi6IpG^5^&)@$~F*H=-|?H=(}bPe^YlTuw?s-5b@1P1Mv<H%R^w=fOM>^dY5w>?V2J
zo<)JB_Q97Uc^ad;o-PKc4RXkSuY<g5dEzp@fu`LHebHAatup1mnAiI(d#z;7vDt9?
zt?<nHXC_JMN)uA&<pjF$Ne0<s>{{S)l>NL%{{{r9ZZIB{?B23eeMK%E2Ti$VEi;sr
zn%9kd>)>!z%JlZyTeP%R7Q4^$|5aLZR@0`NAfT`&+b-=-U|$0kxe<>`W9UA!tto54
zdXxRbi}$B(GPg+frWiQ!W-6j2U7>{go|XT|%S28QgtE}fP#gFQ+FaU07&&HhFDk}s
z4X*^$2Pej#pEXXq{tJm<?vNn+$F-WQ(~vPOnn)S*t%h~c>hyD0=q4u+*O!yWjq*?r
zVT#FedB!N{`XcpCM@96nKtV0TZhU14pqi%0f5!&-G26aw?HqzM7$!)@fay$~Q&eNB
zC>t5SlV5&8LuGcr?Yzb|yt#q$psqA^Y$D?sq5D5rfsu{kZ>#;yAB&+oF8@6hi)OU}
zne0DVzW<jUqvEwpwY~ls`bhOE4{<T+4@wqb-O|6_2giOerPafud~>V_=Pz8u5JzQh
zOc!XeLhhruGWx8O!>jUfA7I9ijE44sjB4PQvhPlSp_KSW<RATl4Hlw&r!=K!*ZC7u
zg_^k@;6uuKgO}Fb&6h!>d^#dFfDxsLzPDHil-0DknbIU=&@G1ak>xX>4h%z9T}mm9
z(-F{PNo)m_&s5cps^9z7=r(?b2=-s^ZwT>!+5Z=wgW&G2)lysBtaezr5TbR{{YSpc
zOx%y%rYL@8W#!bgw6x9~>Pi?VtOsO0YD~FN!Pdr}b2QB)*8k~rLGUSabj6kL7bwC<
z$6>VqD0XPnbAJR62Rzy5G4K;16P?!~pZ_*7ad%0~Q(cFlaAmZEUMezvxZw%T3JoDF
z%V?S>%gLgebuHO%RquAGO!-rB1+={S)R|5u@O3tu#G)4}xq1&yh4`>av4mmo@{+9l
zzSFP9EUu-^5Fuc<!1fq(Cg^px!?dS{Zpbp@db4%g-S*-Y7`yeGZ7l7T=Z#_f5<hI&
zC{;`1x0}SS`Z?LYj7(PQkdEY3s1yxC5_}WzxIH5sjaS@pZ#9s8e>DTxs!U<(1MGJe
zN9?VCe+;11_6hWrkz!pXjQK3GT!cM^TV}RtI;Ux}NMlx=)c?~V%4@NQVdD3?UMRuv
zE{zCoGp%X|$Vcueo4-HhS0^GdfW1wfOp21Yuu;*R$f9uC-cc)QV-=a1NNX`D>l?7u
zVb|zTpfJ_B>>0you@KPC!7$i&=Jh58)CSw6f&ZNV{I$r5rs)2=1|49;uL1y+N_Q)f
z7Q1|S91>VlXt;O=VP=sjLQ<YFjSiT8Q!rI{wT|jRg|TY3)tIun%P|OigJMi9B1I$O
z4Ow}T3fB@-u;9?o+LoZ`EI$;Pm?QhT1{@swJ4L&?;&ak5ImR&u1xW1jmef910xr&i
zKW8gC?sR|r!4*eF99vef-^>NWd(aT?RH@iYcd2xztyVfQa<u_8OBIv@CRk7@j^QfS
zksHy9@att?6k~SIdy}Kf^4||CErB-A+?%C_B|Ej^`{)0^n1Z~PNOoNUM*#6JTFuDM
zbZ5~aSb%_k{xaNMIfE}q+kl6Mx$}?8$r95a`1{sr!>#oNW?}chk;O^8R7-x$z<;t5
zu%E(&0#5;B$$M@)!){j{hWqa|jnBQgIXPjW;kuYYnmpA_yEGoMbdvyw^(Ro739JwL
z=rE!s%cpZp8$fA03wi)k1(G=uh|q}#utyT%7PlTES+PqAWbwWstUt<9eDygc;gC(L
z#DBM_YRnhl+h544UDE;>x&Lte?4nI_!0)nJ?f5nGQd8EnXoRbN;34{?9L78r5q=V?
zR2Tw%!1g^dA|SA*KzPgbGKIJjNsl{m4mAgVK;91KT4Rj&9XJb34GT9EvMZZSt>y-!
z5s9|+OIs42CYej~QMN)w9$WGLA9c2r4u@CeiFtLq$Xf!`?Us&Bz!&9loX~@eco1fg
zivW_dO8_$d3Bh}C3HYLc88?x?f<~}kbZWK1Ua$wGWhWJX9I5;WwGI0(Y!6F^tZS=h
zB2Un5qhe0>$Tj`ap4+l2aLLpoEYR;r)Nn9fN57--eG}6MWXy(ilAV$D^W^|230G*I
zUzfAv_PcZZ$Sdqcdy;CKME=9#4k_PP3QZ=CZ8oOe>Z%xyq>BCVL*qBJN_(_q?R5Zf
zoo;mP>8@BN?|yi4C(t{@@6^u=MHgkzpg5$!?~DkwZHP^%o*XmtM>J(i`XfTf(7_BQ
zEqrK{i_^tyD6hO;nz$>l6_j=r&&TV~)GHsH2OFba%3>UBJBX#zpK+8Eplj_gDo_tp
zhH`+I7=~e{wrsg_5r%NtLE$b{EKo%7rS|nab!zMycB)8qFMthhOfNATaNxP0q((XP
zfuF?ge(+>ReN#f@O1@-CGrr+qZtZb5mO1!kMeHv#K?K*JFUpD{IN+Yq%yg!Q_9iRY
z8G%T}gnSdo1@L>lF)x3FjaryR?sEIn(4E-Jc+|L*x|m<Gk4eJIz5JZ*6>U_?>q|JI
zRx<HQPQ_XE-1=e+i`#go^aEsYf`md657#S)(Pl@;;G^i&#R<T~X~5y0k*V9bb}4Ef
z>H|if-dmU59RS0_RNq6wSgTV=Qsg!E&s8n`t?<mjfl$(j2K(Nv&YTJF4z?uEDS|~i
zHiJPc`R{tD{#3GAlS7(Zn|YTwV)yB|eJ$TNyUV5!u;}hQ=FgQ}O{&6VDOp%8g$?xb
zh0<FLDtG16sunL21a$MN7ZSFfU9+=FYvN~<W|(+bP+yw=u?7!E$C;(Iek<E{iT2`b
z*f#+;X-u69A8hGBp`X>swQNR(Enjhp)EWq0zs^?@>H!lf1?K88kCM$*-6%{C#V%^9
z3f~XARG+)#pVgs(Pp-Q3q$UQ#Z#lwnGrZ*n&bAS+#Z=phq5hKf_n2>uYn;V4`~u$x
zPaCBg(6+dHeUA9TK9sq1wbm0|62<K$pO|jtuzd<EY4|-TWP|~4B4}!%ZAk^_wRABI
zqLGs7G5>gS$NM&FQiPiQTkU4Xk5BXo_b%4p_f2}G+*>7EdidZVf4<$!843tX-_J8q
zB*o-PA4#c^#Z@JTIO>Gx!)L$&Zvp9(%h0^?T)d$o;E&+>>d#`W`DceQxwy%idl`0}
zM=X@A30kw8qVOKSh)mhj>?uHVq7m>5y_%&!jKTQ^I#*F>@IWMs5t4%f_N$2qW=zh`
z?~oPGjaSi23U0vj`^N-bm2YTWeyWhw*UsPB)}hlVq_j%aet&CY<a`bOhxlm)AsP}F
z2tIaSYv#FwAFIZblKO=z4AnwESar8PI31%H#O5fPMb3V<BfbVe6uj#DKWtQ}!6a4e
z!IGJWH>@TWU!-p;;A&~Yk~0O*d!O)XW_IpPJ+1TXJm3f>vpuhtfoqU=JP@opqt$E=
zt5N_q`o-gD{pt39yl4>5>`A^|r})+rmv=qA5nV_=6FjLZJyds@7D9k}_s*A>tj^=t
zmx(rq!aH`;MuoHM%7!wlEw3Eh=&JWy`w>z$;ZYDs!ebxFcG9C1vvh&Ox5eVHMQ1@k
zoVsn(-jxjekL8e{@GBnrB-dT>a?4=Z0U0-d8j{N0_qBtf_dP(QGp3+(gQG1Ya)Y!!
z^w*=w=<=MjYIP%}&f6Q8sun9R%xu`gDP3?j2sUY5Ul`(N$7Ha3S4x=%-=8rYBMoQl
zSM5}%n1_5wK;vf3m{@m(jegv<Ep|AJFRd(~0HX5O^?c(GQvm44>x8Ox3D#ZX$5ukg
z^pyeAMm!nx5y6{&yM=SN*cKFu8ri<8GYqgTOb9pJsyxDnv28jEA5{PjuQ|BTrgmDH
z+{B1j=^F}?z?Ou9ki6*Bu+htM+==SxsV^fN{88_E<Al98WkhD^f5ptj((NaIUp^Mj
zIE+NYEjvvchWW&eCjp_lA3F2dj-l^3n>;=WmHFCS(Z{-QAfur%;35c&+d=%H2j!ha
zSDbxquyP`xRJ2zjhCiHh&_;WM$>TWovrfyeid0}f?9u|n3(|6Oa_RNv_(%?@ENs!S
zllMK_QIqw^uK_%I+lgZvnXa31xI)N&{`G02rX%-)hEu1#B65AeF1P|s59dFFyg?3V
zwV(pN3VYZOP5_6YD39oGb5<*hvHHp8fZJWQkDd!kR+IvEIfor6a2?7D3wyWBNbGEV
z3iS)cmrm0(!#9Vr5&6RXhzo0G$;|ZJFiVfAM0>Yu0|bE*z`X~f-if8QWyqZZkq#2?
z?90ju-KQtqu$h=SQ|`f%Be(@C!+jf>RHLIagC%?*rP1i%f7Hc{y8|+U=U(ZjCKjDE
zZO(H4_}JqA^s#V4L;)cZ_+VatKBrSb#Z!cZTHx0P@{KI!d-?q!f*{*cUt~S*lx?hj
zQ!7*XOWW4<+9fsXl@xrB+i*|!cP;s+8EBSnJzsl?PKn{CiNj*lnt9?JZGSlN!k=kA
zGKKq`l`vT#e?hj5r^fTXDaybJJ<?)ar1mThD`clE$@=T%@dj~pw4LHn=#i*9h59X<
zZWDC{BZ-2VRcBX&=^ot_$>`CB4xH!M<>7zY@m^$hJ?imuHlIkA?j{nA&ZYr32K~b9
zq)sb==83}5bZgbYt>CdI0T>oRUUdo|SJ)3$`EnLqHN0<&X@jF$a0u0)>;`b?>01p#
z8ey~;vwq>D`Z8mP;HZW5DCu6+rMr}WaRIXA8*bTaayvYYy{pvMnZ9BO_@Bf2QhDql
zf@vGh9>`{Vg5if=Db&z}W_o@Zn0~j8Y{Wv!Q@RT5%P*!|S~dSnUo+JNV4;mKN%k!_
zM*9l_dEiod?~U3ePnB<HaOf$d<H#O=bI^idlrU?Cg8%@LL1<Et02=&-Z_`rF@krX_
z{s$|JMa~9WJ=0M!1)jKTSU;S?)@@0}R~m6Zk<xUjarRuv1#0^2xzJ1O-kH>yZMsuT
zBe|@TS{bKB)wPol@5hg8B_017m;<TDM&XLU`<Z_sQ-MMo)Kodsn>~5_o;B1;H=+4P
zbwk?YLZNM7#4jfty|#y)rY0aT9Jl|4Y-w<n>T1c&0-e#u{IGP~H(PsWW>22D@H7U~
zws8EJBK;X0D+nyIj1MMQJTuU=JSB6P7Om1`tn;OBqhw{zpsW~)W-UVpRN&M@_NHf0
z!hSqxGj^zbM11AOukVx8j|ukkHh1V@o7$8$PNP;Gy;EWI6(>JsLbEaX1g0;z{x6zs
zudx2o?p2N<l}WcsorZa_WZC*p?5TPs!KvRj8N<u8%MvF`EZ_8OU>xdpdBe_8hxqCw
z7-+tlNxJtLd1Z{M+1_ZV5Q`3H<g`_M=Z6BbmF4Jz(-CATS&&8E-+%B97UPKS=x}{R
zh2}L!@6S7<yY9PvlYBjWC4fiU0^@hsZrnTe=@OmF2j#)AD@O;zH2<P2_3H6cTE7lP
zLu$sUlN%+d;IE#1xKIlIs<K!#7?BCpoi=nLShaCcIn)yV+XJ1qw2{GRC^LJy0h&+}
z(A;z!<hQlhfQ5yP7$nUP?mGG}Py&6_MXIj{0&}ZWGprlTK9%P_d7+~BqQ^7#qI27V
zP^a41Ih;#y;3l6mayx)85ThX$xr7od*L}3tz*_6xBHpy~bnyMyZ;&eD51iA<$WZ<5
z*I(2MC79+6(lHIU>Z4T%Go$Z(cwX%*vGY|dAw`S?I?re!-s!AVkJ7d}|1g``w~i2U
zDr=ZDdYC{f?LN#jSIU8aWaA2HTqyR6B&J;J>SXj+8Em9-S~Jb2G2d!g7#tZtJ3%Qk
z6+DSQ!sRe4zx0_%MIZ^bkAIHKgI6AR4>I(-rg^-<(CfN&I!fdA2(g^0yXKbiiz9Se
z;Cx-N-S`K7pEnc5k^b*29MvwLVNDS-k-<&$j9q>c8gSaNOrKxp7$Lmzc)7k}Y!Ru~
zxJJTcJt_)0VdD=d3URf!WvX{I*8inWdZ(O@RNg<d8?UnDl+uI`tbv+3_tI)){``{(
zDPHx#6&V10|3(}mu_JZBzL>5IuSxRwX`>LoHxk7rH=5PfRU_M(vN1>G?KHVvI(Zx0
zsBFZ<2JB2fQ)^!3YWVqN%f0fK>s)XkVy3?4=irm+8ANt%q!T$?yiIK8h6-46!&KiF
zZFoP2v`=m5HDi|jGa~8L$-i*4e&-qMayJOwS3~a5#khq$Hd&GA`l&;M4<1;nk8+$n
z(hYagSTbP{goZLIM@U3r!pQ*$I_xsEPXqf0#PR6QgJ7M)_PLF7R`W=Dt^0)Ioc&Pt
zV!uxfVw2b<WOz>Bl4gHi;}YCr4~UB%;36i9qS&Rx<2bx<CGh(N^GyD2;pu)|nBkG0
z?B-A#nB`b-GcDTWA$6v9cG}4;$on*JE7-Xfqg^5sc6^=D9TuDCHurVt`z4963*|E;
zLhUJ1DMQ<<`Ie}4GzI3$Ov*OL2%xmVgr*preJd!}Nktmvg$I}2C}rEXt|~?y^}Gal
zBCo%V28-Kxe}S;Rn)ZoX+`$s!=RKU>qN;f9>G5|vXmOb0xSY2gHmg~jt|0ctG-?D=
z<oxp+*d2O&A7n(fUs7HN@#(n}n{-zaq^ONbYe_sf3x@?GFJ&o{FIWVaGUld_x04E<
zcDfgv`xm?V;NaG~3ONDxS6qhOo)v_cQ&*zJ29@6Q%(3^|na{R%f-$-IsrW*_y+9p{
z^M<%~cZLdA5%f|tc9%i@dfHoXi~a+IYRlQN-yUwS*9x`)q$>exiwBHyI~A6p_}L~S
zMk8WUy1{Vek=2)ha73-*{eK{n?2?G)4TdtXV7NSI@13J|pwiIT<Hu6kW4YL3TMS*R
zdeEGjbohj53p6hpIBnR$?nVX-0N8UC0*(?2XC&*O?ziktxAm+Oqj!29xT7hrswa7Q
zJ&8)+nj_|9&ns;`q|7I%0i|F)kUp>kh0CKgyCxxOx$6+GVhhb}ZIFH41aZV;12};K
zt6{GMVR-vA=)}bZ(D2F54VFwppK9t<vFwLq55L2KI3oGAhR?2?#KEN)8cd@|H5|-%
zKj*Yhfxy@^ki!b3b(p_`-c+wCiihE!m?gWvhh8!I3XQZ^&vApgTQ0X;N~5FxSMfdg
z_fa2%(y7kjnmRLgDVM5t-2(!KbmjGNKoT(S13J}_l*Dh#*vki}n{kAZ#F5CM@heyR
z%WvMEZc`l0kQnoknU;E<xNr?`Lf<ywE5=TTMsUbB^q^R#OV%xxA+4N{+nJszZO!7W
zchyRu^i#gpAtyyqz6z$_-3dOi9j1@_hkfcuI|_}MPv$N5vsk`G^bV@Sdt5mns)jN|
z*28rdm-W^BGNU3BBJU}ujMsJN(3}{`SMJO-PPRn@=Jga*mfwy^9y{|L9C{0yf_1eU
zq3v)ZG7kqs7vD2bh75~wTvcknRn`4=9-J}dVPB1k%zq}F>`MDhIC&kr_3?BLV%Rr3
zZ(FqIifsXf%<b(yQ`dBuzTIwJ_Eqh~QzUwIV#0-tTXQY6Y^&Obceocgt@sK)xAs2=
z2%Kt&NMqgU)KKuuUV<U;{ix4k|A%Yye>u_D9lOB?t*ljSd5J>%>3~GW;Jlx2-Y1Lx
z%b@dj$0DHjP4NwF1f(6UqN|#N)?Di`DnVhgqa3a;$5s1U$6m@aMe++4`&N6zO9br>
zX#sq`xuL>;=wq<P`sEEELLr>~T2L$}50+_2reD!n5&EE%e=v#c_@wg2-LQiD^yX)T
z8cZ@;BO{vLbX{&79K#r;r-(}?RRk5E%2$XA`^&;!vCxe|YhOS4f-3bdib~iJ0Nd>J
z2yi=5a66EIcH5tT?9yra{|QA!qu~EWQOQNwVb5)*A|sZP<;T-`SGHzBB_Y|OD;>j9
z5h7{H9z=JQ!Ca&p|2Ub`2%%ajjDDint#W;;oUF)^DEae-vDDNR7a9Q27`kN=M8hS|
zRnaYat&3s~mjV~V$MaEDEbz(Rn-Z$Nqxn!?Nx=8Q>MK)GtZtN<*Mh(9nR1rA*!X_$
zFDH4QbTUK1Tft-Wn<^|khFzpV*X7jmjSrfvRo>)Ia$cS`(8`_+$W_FUjTWoK1~$lJ
z?oj<BIT5ec;Bn4tUhiFONnJVjc`9z~qEX+)_V9}PZ)SfmSk_-ua^BqUdUNWE&1LCt
zV7WNF<1Z^-emgQbbpax{8_AKDKp<l}zWkCS+n_s>fpoUT-<@TD9V)W`?Oe};HfEp4
zz49)Rhwo$D-Op65idc5cQ>gZR^SDq=DsA~@zFujz)ODzV%wcN=Qx=b8Cma-T{(-+D
zh9q|nml0igw+2i@eauuG-UH(^ymmy^MBd@o&ae45>DmLUMapu2t1UH;dE$Gj(Ic;1
z_m$Z+dC<=6-F>jtTX5>;U7<NZzPLVI_UWCi;Ox8PxEbagFYc$T$;Uk7RtS0feU7tv
zjtQBb)tM3TlL)JNDWM&zcAr&+W}fPr!?O_{FVy+&Agw7b^7p2sibjOTXq?;DUzk)`
z@AM5ln3ZIECreCEYPg&<R&R<@4Ry3r<T$SO)>`JiCA&0v?BcPuV|QMjI`Tp2e@|zb
zEu4&DPq8$9vrxmJvtMz&$zjCaCvfu1v6>cF_w{n)s22&|0d!jUFjUU+eG5qyiy21E
z>Q?(VH$lsjt*q`-Zrnnr=M$eu#zO?@jr-sDER%@DsxL&SMH4MM@7r|zFHq8r)~y(&
z5ZiCpfft`G7HAR^Ze+4;AjVP>9CsLy>*uKyxwWWjZt~_O(2w`V@Vu=Y?>Xp7SO{=y
z+)DnPv$8S2QXjQco}aKa%6LP41y#0ZNSyK(WQTb^P2^hd$1|_`$!M9q?fQRbw8Vxc
zHBadX5iZb^zH)?#zZFNe=PeAms+cK!E~yg9*sS93%O6&<<u~whS86GDe_O?(+PY9T
z+v-}i<Vs{QwH3Tsr@z0|N4H~MDPVG?W!n9=JGsz4e76O#<`<fWM%ZaTaBSgsgPAk=
zi?qo59bLcl0{+SW6{SVX<LsJjT&>P??)&})q@*dlzB%fEve2$pj|m@ip6|c8br+vT
zV2cyqesjS==)WAqnek?Y^-ij+dv6jVz0)oI?%MMV7g|vJ?4iezam9-#j6cv%(fYwH
zRY}v6q@ml!i%^Zh=lIqh;$}NdYw>?!wp@~WHU4s|!hrIn1o3G0a>W%!@$<RzpEz&!
zM+}>iZk-)^;BI`ZN?(tEzo0``0;AXYCq0`7B;S&7S1fG~|JA%pq4<X53C#Mrl4D{0
z_Ki4N^t${*K0QAB?3?zQ`7txr>|r!-@(|Q@xSJr<?3JO_!`Y{-`0)9e8yX0lw_Kd3
zDw(ZN-$D~Tw^onPlsx^TrKvIZ2Nn;o1y`y3*2YH`zG{p09?vX`RLcUtW}CE*XEFSL
zvRU4ew(67RdBjuYwTe=O!=BRQ*oLYJ*l3gcWxOJ)OCs|~|7^eKl!Z*(>Gydznbh!f
zY`V^9qU_b>K{Z8+*+{Amb@9WD^HX1RnsGg@pZcDPt$mDZEYuzT151@%2tDl_>_Jzu
zcErETbYwS4u=;S!!K}x&mve?65nJwQ-56D!V%Ge6is16uxgN8cbblsDKkjUV_=HUM
zF}iAKpTX%QH$7svZgh$^zD9V&M(?cT=ZZ_#hI-fkvrUgZ=}hFbPG~TgWpOQuQ=|z;
zMS-XPmS0rD$@?UBj}7aq9;@2xu(h43d&`9&B4|z=ny}r&ALxyDT75*G#Za)ko7sNQ
zPxcWueH3bp{FgPpzJ#F+%<g0-iJ>}AIBgruTZWR8mxCv!JLTD*3r~%BNJJgs1W9I#
zt&5U4l@@!sX({`qUh16sr|KuFGO&<1w{6|>!!U2L1vr+y6$tLDj`Ci9;~S1g*CRi*
zahsKy&MvU(7NN*k=<ZJev@z9{?;~wUcN0d8z0>0Nb0Lcan*LG_Ftpc2$b<5Kzqf?{
zzrDBaQ7KOiGu?2BXurrLYI71hb5(JXHv6l-dj3b<0L?~N<dP))8+Tk4js-5s!K%Zx
z+(AdVZvK}`mbj6AI_6;6XhV_RjA|6q_@n17PsWtbJsvzEd($9_2p!-z#dotxR@wSF
z#95*$Y<o1lJ>Oknx{EC+X?e2X5&x*v{WN)c+YU8yBV=<-%Sw|r*-wR&g`@%u(yrMB
zUSrKL6WZw;Il`hC&24tP1Y*+(?t9ctub~ye>n#f<I~Iv-9S!~KUz|N46SnBF%`c#{
zXW`CS@2j3M)ZMZ{%d|mS%3~h40m4I2ag5FA1Cf{ar&`K=N=hBSMi@n%{gcq6{R?V~
zHgQN>hn$=ZzTPxj{&myH>!*G%{`RJ?<+%EB`XSR=5?Z;Xpmgf$rNWw<zd$GEZY_)%
z?Z16{;#hFkb<fy=7l)K|3z^1`r~Q3FsY|Tq26G^UZG-Or8&Jw8@TcZ^ytzCrj55-V
zO+@~ODuVaB)7@deZ>O>$iCqT1DPT2txAJ?&ZU9o0Mfp9cf>47iBmXgLcQ;Rmpn>*t
zi*LOiYXE*Y9CA3(Vqe9TFvG%t?C)SK7jT`S-HI|Jw@aCU%%=!~xYmYn_B0p-n*-rm
zm~+bgKVn>`pZ&F{Zjdx86(I<irj_i7Zl!`%f7qv47I7Y_bITtKLVOd~e2CjAPydCQ
zj$p!U5_B@QB8EQ5d|w>>@<^B<?)npkR>WL_VC!Oq2{7R47vFRIK0$?~#lDEW1)ZHg
z%^*U-vSN7C<}Gxyu36o0mNia1D8Q4MbbMOicy&(AfpX-HHJN&nm7Km!i3!Go7JMiH
z@6@q~3z~aYK6SJF`z}EVQpW{hF{wq>v>5a$mo_jXwYu5wtR{5N>Zbi|+jkwwx@Ch}
z4j^q#2D*Oq>Y%*|<%QcWJRalFuob`k?W^~@Q)_?hj{5xlJ=lT-cExPrC}@10O_rbJ
zpCszeKPbQ~SN*EpK9M_DHgOf7`+xv{>>5aXA61VDz?<u=q(2V?XHqC|wbF`Q5&hlJ
zt>5?eM?bcD&am~`UH#;O$HQRrXyN(iKPwydC$W_cDw8)?AeVCz>B!b?PKHst-i>E!
zr+yzP#hK@sKbtdA@l1B%bYraLn@3jqcSgFeS%rjY|7>tv^T9Sa0{g553K!zgb;11s
z`c5oiqCqR@zDoh;n?V3T+8mHqtiOAV9NS*TSKgL?;3qQ@YatTHs^wEek2v|OPV!Gg
z{Vb%-1z`(mJu$Y>0Mh=(cIlociNZ4#lak=lrRcd9QWe81pyCt{LwY9sxSy^4VJ$uX
zc7#|ac$1j6a+;iUfw5EOP%|ts7exO28TsN4-tYWv#j@hS=@ta0*g?}wBVK!c?_H`Q
z7*{dvNv57^b6i(_IO*H(nv>dhCiUN?O9+(_Muth`O*;9Xe!~$Sn*%AdEYvJ^5C;gm
zdT#gMc0bf$zie8W_)q=pf7~~bOt~P>*sk8W1}O4|Hj}@Z7C0hILM*I~JRkl$074A&
z^iV(0MW9n4^2WXQr$QU>bcuhXlXx6w|HY&4Y_R-{2fy!sc<Jj?j-cp1L1SkVN(+-;
z`;83<?p@#LJb30Z*5ccKAkN*Y3CJRK>W{Tp8t?0^F(I}`Wv3+7+At4|ot9~i+%`4!
z$&pI$_LrKKvdm(cg=sDI!Gp(|0L&ID#w9^JFrqUJ^l`<%1||7mMmhiDeygdLEBlKa
z!mykAQTJ_y&%ax2UiEWUqaSyVaE<s=bS!S-w|}c2{J>>+Ij}2>$4S-j*hk>!2q%aI
za=NjkvzHDH3>a>wwpeK9m97k}I9bq4#%PZD%Lh<pP53{31#E)OEGHcTt#VhUlqmCq
z2th$LI6J_drV)&_Mq_{W5w@@a(f!{Ka+2)nQ2s<uI(@%%`?W792VJs)g7W^kBDI&d
zUBwUbPB=qnI#=6R&TR)=RfEdFXCZZ$xl!Q}3N~VZg&aq^>=U^M3+5v$69RaBVf2K6
zGJtj!I!`P<V%Nf)*}C}4-!H5D%*PXiu@%khc8<7lDq(6$YnjyP_m^g}Vm>*Z5XjuV
zNmc7^U_|Ln-<b0b9UIWl-zle3f}ohK9t8enk}#3t?0INvwQS_*CTBjj3$z<cjxWg`
zw#V*x9K%mu(a#)lr<{8udhuO?`p8;_++4zhntje;dnoS_XZ@GoMy;;Uk08%63G+QZ
z_>^^IV!uwPG3)QwH<<VOM@`19Ukr_$X=~ng3teNAW6%Mc6FHe;p1J0~%q`f<=|$Gv
zcM+E_LZ=m#j-D_`#FuT2v)o!5)KAa2S4(5f#LMM3{JV(T@wdpLZ9z6o&WHcp0YU2d
zHs^1_4I|8zbm2D|wNohXeZWjzOCbDgP^!__*=`&YTUUrSbL&n&xw@)BJNfLr5D`?w
z);Tanf(PB+Y$<l&g0iOgU(RD8{n~TN1fp<`quIDLGJi!L=p6gf2i~Y4q$%muXfW{P
z+Wt7#?lGj1aoWg^ISg%IlSSY4Vv7ukw#0kp?=K89EhA0EKA2831x_Oc2qGtiujO9-
z17V#0r^`;PP21bmXl`g@oMoHuznmx$C}L4!l2~hdlgAd5nR`8kT;jq3C~_!0WyOYH
zer>iK{xq@Ocg_z|_1t^oG1`k!%?M>-sNAI3e)|D0->AvHcUO5=qaNL*5~7ZQ&{Vx7
z21-G52gOGRM6A)nPhGYBl2*{gV11kNGR6E`m+Y2Eep|Mc>2_~Kxkk9Nz~u)+zuSZ3
z?%w>HZ4JE<ow#@}yiH3;B8)AL<IZZytjUu5DK1WDqoUQk9P2rg$gHnxvnJcdGrcGG
z=4+1bTr<k#W3)%CGW@+;W`ro-MFUNV%Vdz>4n!98z6=x^<#`~Hf)3y=3|#R(h-G6%
zH{nq1RM_7?V^$|d){G?U_{On`g9SGegMD*lcZUk3bUT-L?t49Ts?r5*j-;3W#d!Ea
z|5*;d4s`B7{r%F2yu_OeC0h{!_MCvR^C&g_u{nS8RDQZz`I!!N+S0#NXZT431iQbA
z+NrkMhE&ZdQ(b>ZDGp><RF?+a1ywP^j3Pk|(&#AJT+gSTR|$+EQ?-9YYrn}5*w{lP
z<H^B-cm-y<0d!3Y99~PcryCfx-4V{d;g6C9fQES?_S~WF!oZ}C_0$NdKW@Cn-?oEH
zC0hP%wL%a~XGJ?q;@-$DUDU-uu<R>Dk=g__=SI)~Kq@B@yjIUae+@L%rrzQZCQ3&0
z=87unCFQZ)lkngAuUB5`x#YRw#4zIq?wxn8c@dz}m6>bimz?l)w-S`_=AcJ13CcGa
z=Xf1OrSfbtTZMKsNBFw8KGBfzmD(*a(l!4=vUc3F3A}S>{j-3z@|{g<63g@-t<2^0
zuLzt_GDJ^=2Iv$-=+e*oK^eukY!Lk{{Ktb#3K9pwCVAIu4YJ?`Wy8z;gS<bb(bskV
z;sPLB%ldrew0L*l`h!gMr>+i&xa^=wT=|C;y({r=Yg*42bFe`EZt{do-H#)cUZeXq
zmvd{sej2{VFFhPo(0Oru6m(Idpr|HDdGVff!9(+hQCP?+ASrX^-`}*bMs9a#-NSZ%
zRZyjY%_{uZm8uQqD%C-6uo^kv571TzQ0~5Prcf1Qo(lT&;~Ij?Ey6kAipcy9;Pzp+
ziTqT3HDdKVnfSd9!L{h=H{19Z@4Q{P6igd>dSBYc{R|0x{(G175c0@yGwia2gam?D
zi3sjN@9VZO&@0GLVS2(IMT)4>YYEjHhFZlx&fLFxnZ?m8f!*D0Z9*NNsa7NGIK!Rq
zIFEhW7Wm4tSR%jP#s73S8K@V@O`9<na?Fr}2RNq@Vf_k09fIFCny2IanB$>T?X95U
zX!YcCxNgjKR18BQ*)nRZ*+P@N{Hp)LF~YvU!^h)VM<AWMj-r}h=-ubHMrGetbB2fT
zWaFfkq;ap3zbuhrmu?%o`tI6E9|NN!*EQO&MWG7?EwsEdsR{Ss+u|T1j@^b<;C9%y
zn;(j-5)juIIM1Rlc}9IsJWgQ#Wobcz<|mQ*=P9FbUOC7;FVh!n5J;DSIma%x^avKY
zG>G=}`|GXRg<Z*0wv5{~DBVS3ACkP&CpS?aaa{{8mEmOoMM)f?&SnYRyTdVK?(^cG
z|3J^T{-6yq`U;-iT{|xPsaog8=cleFKaPoB<2rspmlxfY^TDpBJ5lBgA|RtK4pcMB
zfiykBMElbOFr~x`^km=sVclx~a6Lj_mrf0%>qk~3NvT0G|BrX?g~uS&1toyTf98IT
z)ibPn&J2+4;(#tyt5X=w3qSm&?FKxrU>!ZNcKiywZWxG&!Ktop&@}8(H8`q5>nlc)
zT7^0-X!t_V&^e@GM;Y=Sdy0i5s(!~8msFhF_5}Ft<g}`^9g;s3iNN?aP}g`h=5oFo
zkF$BYTQ_bE+T5ifl)DGB>nuU!hKuP5Hh1!j_%kpKFH_u0&830dhMBE2aMSO?$)uV#
zW3?cs;_U9L3h^G5!JRo`2huB+y*i<%zHZUz+F|p%+B79vP81%nqt88G8jr_qTxz?}
zt?n>w^WWYtrQ`gaW4{g(Uz+U$GI1`B^A6#bNwyap)=eon4a1137eG?R^z-Y#C`I0y
z;oYsL>&`k@Vi(@FfB>|D!4wEf@BSH<_B2m<x|2)&jyn_Y;(AaI9)7SUEHtmPKJRE*
zv>@g=$W^vqX7?l~`wr!TOTqFf8xa{OdV!xQQ1qknH!vD)y3u+T=evO<h`!u*eO#{n
z`$g3|w-k5(K}WGMwpyL-eY$!6X{YessMx}e7_w<w78(|f)sAAeWB=rAZ(A=T2GEkw
zvOZ?0)KL$VxWz-Vv73GJv@&$D1cnQ7HHW(Ry)u4mkvOP`xMu00bTnD`Rd08UEi-PW
zuUmO8r^tILGfqxKLxDz?HsB&E1)sO%;<f$~#gu^E?(0%HFVZoT`LbLl>mQ)2XnQ2K
z_X(-#t1bz<7!XYZZbu9w3oo3c2cT^QC+TKXbwD+oq{*c9r@JqJe4fpvX<&dSZY)hA
zdf_2^kbF2ja%u*Vw~U~TdKq-H+o9hwm?`_u--I4*TQ0&qSsP#O>d*9E9rF%oJ`}^U
zyLRupjD6h!RQav5=uULsTj_9U|6wIU8NP1Z8CQ;UXi3HByk$YUTArT6d|;OzPQl#B
z{Eby8cZk6Rz$B&YyE5IGYTu4Oe5Zmnf%M6udYG)7Nb8TeVr^juwDC{+@cRh#iz~l1
zTR=3Su^OX`eCU{SC<|~5UHowklioXBQY!3Xpu0G8i(($Bs#J=%i#;U20^$QM(^Dh7
z<4@(Lp!+x;0YQ+#kC16z9sF%NSUKvX`WlLCC_=t4TBkUxuQYSEXpxwzZX?2@*%)U;
zG$JKYX2e98MEuC4+CWt0g{r|5Lduor`0FT25&#wesxea#BWg1R``s3p_ooL7n?QJJ
z-6cfrzEau#6N^~IE49?Lpb=p*!sEt$Vt7&`4a}BHY-ZkbIv+~fm^FYF?q4WADaC7I
zEKqR2ZQbw4j-?Pub03w*eGYnPL)QY^&n;4zW*ic9Q$B|?vV*Q~0s*6Z3rYX_zvUZt
z!MTYsc_P7iAoRiI-*@S+8|ti854pZ12dbC(#ca<fa0<pQk613veaPcW^LP1FAk-`^
zT~aj;Je<kB@@|r7b3<>xznFykV{^M*lFTG~b2*!KTRmet_Ri%=OZ~hf;3O!TO(eX1
zHsg0Z?Y4HkS~|8lLW@8n{DO|##zsi`i<@d8pM^fL<e%jDmZj}ISIJy_LuBYRqtl69
ze3>oj@e)(ihhq^+hR;*&a|NMftmc_vPj{>Quw{9+9Is0tl?-QZEZGr&Y8Lz+^{an!
z>Vx%=(UWN;F9S3S2ea4tSFu@hw9bY(N3DW{;dqs2Mik!m%V%n4Vc(v~?{eZ?8dvzb
z>OqgsW~O)!f8iT{u@^E{=I5`vMkD%c*4reRsk+OIJC=p}JVos8?!NgGsYz@^0pM`g
zY6Z80P)Ou%0|X8ecL$hYc$ZQ4544-LiG6?RtbpC6m@*(<yyN<6opyogo71UQOcwV?
zSY$Ho4_a?eBFu}NTLHiBa><Y5HPe_KR8!oQ9K_wG>bG;84T$G?J=5e;+CWEKaiD?b
z5jM4(l&<h1m(Aj48j>x7w$JwUg)xKshjNWqBv{Zj>8uS1P{19%z2m{j_Ni1~9#M|e
zx|4E-DjL4PJ2ZanQ+G3U)obYS=OA{*UVV;^kM%sgvSx~<NjXV6dpI~&OxBcyFS~Oa
z8q-RWY1rygCE6OFZ45tRw$`=;5>4E3l+qOMTz}Xeg0$10+HyJHABlf(sv0h1F))ku
zK%ti7B$Bzw0V(kOBa6TxkpWcd@$uA);aJ1@IQm}DDTOrJ;36;NscPQu%eg|=zvLAp
z(~ldlL$+dH^Oc|&X4|;~V-pGYw{U8oGU`0@L9qg$jX?oC6JfrEJ5qIfGU>Qi?$!e3
zKb<TvV3PH1hS+(&A(b2K%W0N}3>IqBNr#}Jlr9`@(87-g`h}LSKLR^adXqSa?d2H&
zl(T}aW6}1^pvm|<U(oq5e2M9ojo7%JWDvH`xw9Z7Kv&K>_ZF^}&W}}QbY>kj&yaXn
zc!ojeSrp`d*1#!msd{i!4+KFnwviI_W;--0Wns>|rT(eWckr^+5u!q{H{;iDl&A^c
zPG5T}+r2}Ao2>H-ki*r|`tj_ey05g&G9+eg&tB5mg+3awQS(5I*>|=vMj&#>Yy7t0
zr}$cri$6qH>dtg7&mG(zLk-Q5Pt|M47x`s;fuO}ybLY8}k5v)^;JFElNwzy$XVwrU
zv;wtE(netpxHic!_aGdppH(c`j@9@xDy)Xw!&1(&nPMaO*xrIiXgVw^U%A*L>)Wl!
zzfw_Fy=a(d_aNxGE3oWQ1R3f;&(AQWOchAf5zO|83bj^1WOETpU7Nsqx%WA@I~is_
zcx<kI7B8`1OV(>oZUx3uFjY^>AMF+bbd;wqp>`h8k&KH{O(C*xYDSA46^v;VoZda0
zJD;SSB^vc0!s0(&rD8}hrd@CdE;z#!-UEoold9Vsb5W;`7-)t057+<T^fGtalB%eq
z4cDq?A>|+6GOMD0nQu)lk%4|i@mv<SZ`F<`&%74pRWqX;*;2q!%Jx<h+`)Opmo8p}
zbdnGSGQ$vDvz)O2zP2bHi-vB*eLsCy(+KN+7-z4ZBR55sey_L&ekS2Itlz;svbLU{
zimV*cuYbfykI!EwcmOAJ-<cU%iuoqERE%OSPq<)+uG~ytZo0MUD<14QWzO3OI!B8h
zn6@ZyqTaSeKd8&DVT{widW;f(wInG=ofec=ADsrHmbP5L&vUIY-@r(A?8?&hC$2@%
zmzN{obnaJBS1cM~Pj7+z0U29pn6~)RBqa;1F>Cj=S7(11#SG#<jUo_92e76Ih@>1D
z?z_>OSY5tumwM6p@q(qeUYlHg+~XYph(lgx=4Mwer<GUdNS(`mDBd#Nll)cOYKphi
zSKfz%mVd_O@v=0sX1&B&gPHVN(;>1{HJu^#JBuF>8Q6EYuuHU14%hcB5Id20ej3CV
zBJUW<9%2pJxa=LPqWwEhdpcT&e+`T~%Un@6BY{D*Yy_9niU$4<CsTc!o#1I^?gN~X
zcxl|{><~C1nW+^0(eWw&-)MPv>XP)od1uzHEBQ}r6oU&`ci_3vyR6KX@Ek@wkp%pl
zCGn4YZ8U`ZKS7&e9J5*xk$MP-luvfENv%#|U-8e&DuN@1{9h}P+P+72#a{a}RBn7a
zbJ->C{Q2`8@JCs=Ra*Wj8Jc1gj)o&$&`gG79QX2*Z}_u4I)d{efYw9Z!h&7xey`45
z7K;R^KNkGZO6Hj1f7%oY_8|J=c6`+iBUol;m`b-~R676ZW~NWH;C`OjJ4G-90eVuu
zP&v?jXQ`lr=EJC(yBP+WKO{|WA1GOLfpQLm;dm5>fkGr54G1(LJ;Kc@vf$s$g7^sP
z1MVY;(0k#QRT2a8aYgU+UX~XnUCeaTEgSywvxmf`lKJ$OhR>_Bbv?yMBzIKng7L*V
zvw;;E%N5kioP0A}2<EdsCnxb!he;ftgoziXu>RtB%(?4Vc38v2JhV@OP!ufoyyF%H
z&dU8mBa-<~^8_<mN)T@~{arm%A?l+v8+u(tTBAlMf}un8LeL09x?z!M_z99->$@rl
zierd!mr5v8m4G#Iem2if?)688RQ99IO;NNrv}v*!TJls3b@I!ki(}8m4hk5sMOdxe
zIJEOS9MgyNp`Ac_lf$M7%(Ot%8(UQCfuYV~AlItgG(Tz{iv>_rvrnj9L<hZ1=Xq%Z
z3c4_Ke7wB4xUvJXo2zn_hjJOSoOj(i>M*V*5DDGiCFFNazLHy>e^`9UH}eug^6^;S
zTt;GQpFxuHqUrEuWxMGlmBXNSMvKZ}-QH(LTe0U%g#XrKw;Hh4%xBH{8BV~?@CVAL
zrMq2_Ht8nPn<z=Ltf8`Q7t0!25qy;|n2|HM`}1p+zRv7v=#=-fub5FLw{|2}b41Pu
zN=pHf{0mjSGAk4%o4)iMygz#Eo{Xlqj-g7i0Z1d&YoO&)w$^c}yj(Kcq9Z=ds7+|-
znODWe*skv=`Ml>twgB{=Yas1eYHx#FrFSmoFWBjI(02j7_ZsS_7Li=;Xw<qH{8ONi
z+>ng!6!HP1?2n~zkvFUN=73O~sIxeUm^x(BrKd9XMn8`lN`ZM<{)7~ug#ZQS;D~eJ
zl(z%$rh0gR(%?nVvi&O7B;#54UsSk*?3RBut)L3BJPYB{^`ctO-ne7VuQltI7)mti
zvZpYy)i6xdeaipPq_n-qiuu^i7m$Va>4`~AUhey)fM9b8m7I4pbYDz$HFBR8-`FR&
zv2R~qf~oqtvdR4cLZ(c$5*yfs9aH%x)nE4%x-K>8sfIP2qt&6e^;v|en4*rdWOLVN
zDsFU2c7|n+(<$nf^$RVPuBUcNgmy;W6f;R$SzS}Ox})IBHGF9J8jrEdaV}F|$Sa{6
zxE18Ugn?U1=uaz9bX>=#`6lQAJW0w<^}BLknS7=Tj7kw*NzCLSRo{m3K!ZuQE44lB
zJ1(8}iuS`tsCPi-`Mnde@)vGp>Yq0wX;-yL&>{L}Jvh0%ven$6AQ3y7c~J`exav*n
z+5i!rfD$3!ELs3KvlJfvY;n8?X>z)ba!)LoE$goPNWIX+ahh?)lljHxY0b>N9~WzL
zEvn<jX32-aZ0M4en7v5aKnP{>rigUVUvh`%Iw(vAM3zd!MoR245Ab$=?C__<2eZwo
zeQo_2QBgjU&zkuVEq_>zKNS+aHmP0*5;{d|OQD7Cfq^Sp#I~&Oprx#;w-hgxb`%6A
zKF^fLYj5n38pgzond(>9>%}i{a1o|VOlZnaQzWm3<(F%nkX`I~jEQhR6jBpm6_G)V
zlldv(6L;DhS)T;z6lsyhI01B25qBIlLsn`0(G1C{l;>AUj+7?$<aRe!I!`%#pY#C?
zgt_+tsgf4D@<K_vCuAu##c7@1y9;uz75W>c@*1e>923P=?H21cV>KsYWEkh}syo9>
zhi)7Y?7OK4TnPpd+6JnJ7eADs+VoCSR7;#Yp{mU0nN2O}!OrxK#!3ZJRT|8c&I;XS
z$?^jDSZ>zNWGCFZPpvVx`#||j4<r+e_Her0t~-)<_)4%L!cyLB>c-ni<NAVcMQ)|w
z=KB+vfN`E~A9G~IsO#LGaDnon&Q5>#@LSg$$Qw{beFYQ;lYy_TNKj&$NKEPu{V29v
zbKl6a;-m&6Z^vL1v-A?J@1q5OgF}2jOxZi_XI4=eZ~T5t>Kwvb0-HS`6rcX7_Z?Wi
z#U>lDG^QZnjjCG$Fmq{#u>v#Jg`jA7$)9?||Jbh{Ne2ZU`fHl3sg`XFMK*LLPWhUL
zj+^9OI&C{QQO*@An5m{P(eamD(lnLq1q340Pp>k)*}2vvrI#aI*rfMCECXWjyw5lX
zq{j<JZVXBvP{9*;xzwW_*a}6%8xS+H&_MsdGL%MJ(^6t?c+=chZ2JiHk2|(c559R}
z8s3tA>ssh}Tf!lW&&O$EZ<w`EY#PS~8(g{ft*|kq@R8etXz4p%1Gde%eoQ6zhIhgb
z%6JkVHX;|unc&j65aUtF@-Q1t6LY&m#;~?fOBWfMGWJ(fo9^O#KpsFhQHS%w7{G|z
zgq-{2X4Gr1)A!mspR;1-iSz0UrDp+*tMQ$jS$bVHx7WToy?)288qB|INRDNzzo}4p
zvSyd{pv7l%9A(p5WGoqNY>7+Rq!C~SUtRQ;v*-4BLHWVK+tbRh#|3TKx;pfrseYzr
zwmjZTnElu)EsZ^yz``=I-DdSP?w0je%LIvT-UpmhIrB=4KGv#q{Mq-6=P>K)_M>zC
zkw-QA&k!t@dpcu^E~t}zD3~~mEOo(azkU7)M;X;r4myLg2yrcV`;Y8Q##hG+3UcK>
z=AshTdLXalAoYdYyNo~-$>{j-qYzNVFS_61rVL=^)5+cC-tLN~5)S$YOST4YT+~|>
zn;3$SC_{@dKFj(0cE<Ni`I;M}EJuBlgt8u+deC6_6^{4@m+JOgF->(ekZ|s-!d{iz
zlRK+msz+SJCe8J86?Sty!Wl1c_5I+Iri}G$SM5OAKo0<Qy)$*-9{TD}9CZMj>%&QD
zDrR6rziNuwefF2l4iPzpuU9r_f6=gi;#RLwsCH@rbN$Tb6mN)DR+p7w;)6Nme9_T&
zVwoVvTIEJKZBuHRPKVOgAA<qj$((7ZGdnZEk-5WS0zui7M$Z0+kj>o$m5mdqY>~m;
z%ri;-dFr}+MiY51Y3}SsiL!Up<$0Y^!bkd6-}S2-+eZ5e+oUr-DbBQ8cfU%l2tsk5
z!3SBo9nM9^r<9Geh!2UHM)Ww=@z2ycWOlr^K}N-!*6!UK!K^mm`jTkx`B<2G>(lm#
zZZBSLy4Cl^s!)t4w_2^8=ZTl0ej*P(KSx$;@%fe3Z#xXIsTG;6y2}DTK4hl6@1Az>
zm}t6<_PD|M<=48)^KVGDvjeD37DJ9o1(I^RmQGj2;|6)RUu1X1WPBytqhY9%p7QCP
zV^a_#wM;(dJ9{aEh;n`e@hy%Wr{g#~bx-G6&(C#g3}LbxSNtWNOvPm!)%$t_lnqhe
zjZQ0Wzz)6^xLEMn>bvv==p$Lo<7Fy0Z|{vE_1v!!XnHl8Q_*;2Iz0)qafRz8-}<u1
z=aWSNo@ay(J!)G^vV23VpU86tC-cXTshV+)a*r1rP9NmvQQ7GQc5zy-q@(l#o?N?E
z8i+q2R?TA_mY=!OOZS#~kJ}l#-ycVt2A%9u|4>(bg4a1;t?1sQ6yf_3lE?PW^KUxy
z9tU8kf|SqTOatVA<{E@v{~ms}cAMu`-~wVM0^g4@=~?qswOo(>wVm2x@T^1hmeRw6
z)t;|oihA$JN_8JLD*#ezGfzeAaym}|f4?c^81FD%8R&4MeDvFA-pp$Q9yQOYy)#{E
znx6p76M8zV#}S*Bd2eXhFY3-(Fo`;#tvqSL)JD&PF2s`;#i0M7rTrGsRLE4eS;u4o
zv@-*=(nEJM#v!$RId1}*8Gogo1#B#t%N3OKb#jdq#o&`<(J%7tiUM+Z1Cmspo+=9P
zmuBhhjca}Cx(YBYI(6rNpE`)cz+p~9u9gDEHOofHP6%62j5bor{i<8vBV><4Fyk|A
z)VI!U&p*^&-3(fsr2OQ_A(n(=MnJJ8@#dl0^ylY#3b(RlaY=RFS~*(Mq;L$gKcikM
zl&v3SeS5?XwFp{Gw|RQuQwTx#pwq(ZWe@IO$t@q9PUja5BT@vrbO!W<k(REH8DjQU
z=6^5J2|8+IU_~R&c%s$Hup#`JQp&rXm1PzoSgO0u)8wbLLWKj^wznJ+OY!V$&bdZE
z`rX&@vFkFfWdC{Fu@ZGx74v^mxHHtYWj5BCtwypk>?=kRAQDsJTSAI6@HJx~@Kb@Z
z&GO`GtXW++oAgy&MWHO82ji|h!F#!WjELaZS8dcC{7?p5rpQX2*Prd%Hgd@VQ7Xb@
zTkR!`V(TOai=u!PV~hxYfKA8e=dV5-&>J<|8FKSp>ypyh+Ku_=>SNF|A0tA8jd8Qj
zsAVQ!Dt3NHLsq5E#Ns=NQZ)nCgR`pWiMAohF_|aw$KH_yyp&rA)6Mmp?nkErb2Fsk
znL<G2e5Q;J==$lFTVRoU(xjtYR-d<lWqx-V*dbJJdYA<adoGyGj_*bbyjSXs>@IZ5
z{GP7*zMMH6VET?EFqq(d+OhzwM}$D|tD>D5Da~Q3xOK0nyD6{7Ab@gm*>rOPW&sMR
z807}@kGdSjret{BBvHcMGutDR;n%8mUxR2e1%%+6cwz!w(Xn>8eWTSI`5W06;S!Qj
zpP$cT^y<%HxV89oi_gu<^Y_VTIjQWp-fuoYQ8FLk&NZ&OnekhVfyS)r@I@F3=rzjp
z>%bJtGid0o5vskpfq9n^g?>dgEpm<@C2W(CS)yx`#h-d&=H*7Fbdw9w$80?_#%HNB
z)9xsg$<86QLsG~fsrqQ5AzT=hWTC|~H@NthAsJ`G{!9l0<zIAzNeXsx30#QI^@cXj
z%*)1jXVdkqmVyJ(cR4I1IxT9uv|GJcdlV(QwfXkrFD}4`%o$`_ETT_AgChAiP%=+}
zW~MgiJCTA6KuQFo%7-6w$+1X}U;v1#9j~;-F!u`mpG<J)U+s9sChZFAZVgx*Xc0uq
z2Q@%5k{l%7Pfqdv`F@Kvp64SALg&l($9XdkfdYhEQaws36^{q)3qje!$7RMh)a0ot
zpThd?-|GJA&u830dNq<Re?IUN2k0N|Xz07+9*Tzs-Uvt`uVz~qK$+WM?6JWbw8pk0
zA@ZfvW;Dn3Qn%KY;PFsxjJj168_{EUJF+8&Q$5(b<{3kHX)NK1H(@!bjz?~;%?%}6
zkVOz0J7h*n4azR=<Wf)dlL|dFpV5x&uTotI6YFkWaT*J-ze{|0n<<}C=DVhG^KDuf
z$B_f$Vp~&X5^lPJn6;$^cMs^O^btoHz&z}^b{MoP3e#v`9W1$!|4{T6?mM6=0!0_8
zT6>|!#OzxZ&{LcOa~)Ba=R)Gyapr<oPks*8ndSdl@$;ov)Mb}Y*8QeqCTSzFd>5QY
zwhY)q8Nx#*7QW`ESRZhYH{a+RNST@$aqCfeeYBM`rT;)F%ryOa_w;*EBh}tgg~or}
zrLyne<~XY-`gGhGq+)J@qHt?~I%WRDyD}FbAE7n28F<-ap=QTXF~Y=&XWX##bL31I
z&+3Eo7wHDpRrz8E5<iNg>wdQLhJ_4npZ2qo%&`OZxg>T2x-=S*?XnBKvp2jyZjE(c
zW!Et9!>@QXXU1Qi4`WtapoX}EqDs;_t!wr{t0bwdrHcW`-OU}<ImVBm6%YeRf+@F^
zIm?86vlozPz&B_LJw4m&1Y=0=LBWJD_Lk&+*^NM%AJesXf_ZrJ<2HtCCi_IhOi#L?
zTSa!D@t`op{tB?YUS@OOhT@y=h2n{96+eEbYR(g1XyLP3P@31H0;{1nKU_Z1%a0a@
zOwDG*bGd=NIcMY{yb;Sg`SxdZm#NU2knYM^LYS#CAY=a7L*Kqwi!OfymIPOp`n45v
zwN&k~6F-b@k4+<<)V)gu3x)S>7vwF=cH%`lN8&OzX+nq>sjR854hq+@__j>Agn$md
zD;f&{!{PiMCcyYG7f^U#5m8U7&XtS9G(T*8Rp&zY<JT?cK@yRl7o@x;#O6{2zopr}
zUqTWZNU!?;u=Uk(QEpw-GYpM1NDm+&B1oqUFd!)+f{K)MNp}n_pr{~-igXAnN(x9L
zrG#`yHwZ&_hu?YhUa#->egC}oy}#e(nJ3QKXYaMwTAS5^5;MhLMycSGy;`%A%l1yv
z^<ZZBYe$iQ-|x3_FwG?<2i=Hzu2DjiunA~PpER-%JbUG_Ek5|%rrc>Hwblo`*Ir<3
zt#R}1wRC8FuKm;(5sbIh8UVP`fZIwWAk<1v55Mm!if6aYJ~P_@YUYOai6U#wEo5~M
z2}wO@KgW}QQ>}8P8&#bwA^G=p`0R!W{9ZH0Rhe_Yu*vt|)wi_p?V*HHa;DHRMPo0I
zYS(9Lj={wXsN54-XO^G|rb%BOA#~RX45Z3E^&$Y#^ATomRRcPeA*sH2@uNXk$+Pg+
z@-Kp!p(bYSIxs-*=6YqQ0QO(8&-?&@<gCVXOWTB7XJJCfSAX{WR}qm-C8}SW{O)Ia
z+JQ<aB0e@?P|7>g*9pBB27>fE0s7W5;S+$&%CQQWw|sCc^V~6cM&CN6i}SD%cu|=I
z0g2)rUoZppEl_IoKm!RRMxC!9y<hLf|H0<^o`2;i>+*A+aa%!YKYzgsfk9li`81Rn
z3P4X39EsLM`RVO1XCCkeZnhMKAuBv3?JYskAkjIK?6=wSBsye%PkVLo4^{5f@z_BP
z?v<^&$j(o8FDi!Scpw1IK(^0_K^5xVgIe(F=#S(lu1OLNi*k_TpBI=H{cBVK?b7m4
z(R*O=#J<%c=K1H~Ek7%LZvLN*qv&w!#;=V-J4CF^Kw<Uk4!M(z(i?c1!uV6~=hp#_
zN*%e;duL#ElsLb2{(4eb_>xgIMhm2NF<gI)cq%Qp_4UktUsUYsnEloZ2wT0xYMXy1
z6Us5cB&wLosfLlyXN-hPqI8ue2USuQGlUols4!_*P`+@xuR6Cm{xzjf?AtL(JAs7k
zK%Um3RpLA7bJ-u<@U>*)0=PREG8Z#S3pW>&ef-q8u%9veS5-3o221Yp=P6GwGL^pj
z{T-&Qq?s>6-yzIghl3X}^*g&%vogeu0D1xI(8kA)fO*Q<?*IsieZ%-`uvxOw0<i<*
z@AZ=Y<Qa!I^yfcRlPh%aUxVHh_>A0Ys+592e3V4V$P4LJ#sSiz0+|(@OcKbY(dy{3
zzcqAi(%$}hEzD^3Cg&?y`aBDG9DceOD(8z(G{?P~$#VhG@w<3P3ch@X4@a36Ll*X(
zT@6a?e~q|s-Tu|11S~C1)yeZ((8Z9YJuX9GDPABRSC$P%{(ov@PLW?%iV;yT|N1{O
zzw)(e)zracUROI=;75=K8T`FHt}^2}G<&Pix#Ujab`~@40@m%9a9&+D=z(c-n2GN&
ztOKqe_<$X}`-~lrgS5g@W+S?Eg&?dw@AIK8MDP2`ye)$fdRgMnmwwg~8Ve^hn8#}Q
zI~?wa#JnYdF7`%Gto<s(<ZrlUCVkWVHuU<B`}C`6qQDuw2ReE^pc&0;MGP+kmMXMS
zc;}~I^IQGX!AP+5L29qnP65o%JT}+a>SG@-$5SY&ogzMms|%e;3Zl03mTXu5Sst7;
z@C;&^7KZeXpc4w%gMhjYh4?Nw0W%u(CVj4z&pv&V^@QPXk6fS0BWToACr|*qp32Wc
z9i0=5#k}v@x~-MM`U`Msy06cJxc9pddv5WOkp4DSt%ER<mKy5(x-ZRv$x>HTm|a3C
z{eey(oG0I~004-HU&!S<(436VuXJBf02ACz>h2rvU-bG0fKzUq%QvFw7vCsomhAuP
zjPoTjYA}R9`L(l?EOwP@vlKL4m2Gn3pm+xjIRpqoFf{4{FiT|=ovL?YTiyZNR`*et
zrfzux7DXWHHoGQ;Y0#ei%C|KB@;UqW_A7?`fripfVUb;0XLhvHxuu05-yoEpxLCq(
z7F6PrWXtlC|M|4S>i`aY_w%UcX9gG$@dEgfq=-vR9q~9WT{9KpP4&};nj^cV{=n#l
zg-1^S{C}}*>(K4Pb1eBtNB11z8}9#n2tV5Y`4H8hz2FXF36qNiu*rI^4q=~w79j-Y
zPPA4TK<!<KxYqRI9UY&Naoe{_#h70|bW_m1`WAL*ASZ>gXX%N16{ZZFlIZS#cJk)0
zrS#8E2IZ?vMk#QJh<8ZX@69)^>ED|_S+<tTfb6EASz}-Rxw!Dhm(SS8Sf;^}+S2Z8
zPJZFJleq*wgr}=&r|*Jyp}noBB^&=gk1<5|KaT+=0q+1z-2=gk;03w=T2I&~41_VV
z_lk-y04|VcIUVXgjQ!UYaa22xt{Q|`iuBujLz@dtf|=n99(8ZdL0`A?P2uJ9cu)iZ
zz8DLSfd3%p9vRE!F2LMS1qA9hfQ|g7w*8zGjlWRQNmS+9Ip~-_Xr#-o`5oQNen^S(
z{}6D;6a6eq!HQ7QrGqx9k)N9ZWeXHYt{UgxAUc;a(BS5mom2Su8vcE)ZHdX9=j{iP
zZ#NC)IzP+UjQNS^53xS9X5eI0Vz_~CW|BsD?gO;CzX~SOULl0;4LqYF)MIxj9gBtL
zG-9Bn4A_*;?GXQ88bB5Ei->PQ!f9tNK>vuwMJQ2dLC-1hXhi<GGsFW0R=xE}A0EAO
z%!h=1oQh*0gKjJG^>#TVlU_DC&3*OnAOF4v)4x~fbU0nenufgSI>1OJz!s#x3oKco
z_7%q}nba&rg6KUe$n&LS)K#71_yHM<zMrQk!V(Q0=>`1PKX8O@;8OltEI1k_q)ZSC
z_F;o=fkx5sVRux3B7`jXjMaw{QMd8ZZEOGgSHJ$)*_=(8@;e~+0-A6x(M$6$_quHe
zX?{F@HuKu~o#YIJIkUfk-0^-Hv;avGWES)esxa`+(3_B%9spO9EPy#~SmzPG{CzjS
zt{WZ~Os_=vcNn5K_hyM!=P{oh<RWLuICIOa_IKd`k(0YX^HKd>vM1wI&{_Kl;4_&~
znDhHZum4<5CMtV*^XMTf1JjF`^w*D+uW*p6`tvBo+<5)ECHf3)d=K|_y6R&^MK%8i
zg#L5d>2M9s_nA}*T522z#(S54dQ`3KR(6ihC;4~CzMF8ndv`Hu&woI_=F@J;>Yh*k
zmMWZw4KEWdej)k;#dMMRD*@y2A7EfKNY+QnTrz%qTCRKl!9|>pRYrkWw?1tTNM`gv
z)#|V^{OS5<0Q<Kmf1k-E3%q0NmwOSqP!LTtjy9Uu;%@M*Fp9P6C(KjO{Hu5M;tPQv
zY?F4rXK<^+)tR^bSY!&FPUq!*egqTCMnLbv5@=QmU-I734<n|{%>I3me{St8t*RyA
zqg^w(e4i~`jGkdyh0G6H)xnGb;Ped{(mRY*e0Ls-Ldp#9P6P(pegE+Cl3`hwZC}>2
z%@7@eH~-ubxLEWeai%a<3A3~LT0%4J)nY1aM<AP+^9+W$cBSXdljOkD1O8jje|DtE
zj69~{G2_+Axq-FPu~ytu|MiZ3U5Jf5lor1l<I|nU-PPN~SHl}Eh&=(NYJY`?9bFzn
z@kjF}eNZQFRT?p-{`C~Diov&bvFvE0_F{&ls#^n+DrXZITS}oHf1x>8X!!)p*SwS0
zRu6`8n0>PSUdR!J>Um5juv#x^3Et-K7Xkgg-c2?Ew5k!-JV&p2>7;X*xOeQ}Zg81A
z`Kx14l$t`VppJzTV9>EJTm{y>C*ZaZgQ;ESw7fcPYYF%K{<@fI1&$9~;T%a8_uUuv
zj%)%pN$pqqXLi}~rtz!asK3$&w_$b_LHHqdT(%e^dh5@}WxGdAs1S4B;V|Tl%chtP
zN%=eUXc{PaCx*lZ49zD3j&d*Q6@CGGc~k~7R%oeS2?*|PPMo%Se?7*5DqLQ5llvwk
zx3T%BXkX$lq?pf7+~(Ro-ZAp|3Vbt?e5-X@|GL-adE(jgp~s;9_Qa+?d~oqv2mYZK
zkPU<xUAg|SK8)m@yYlX6pJb|lF{uC^jVk>%b}Liu`7&?>E&=A`Z^%vS?&IywB|7PM
zzgD_wqPuwiuTQgCf>RD>2M#zzK+UON?)t+XoLalvy_yDKo%e=u9$^5i9O*w{9C%_0
z1S%!KT1qz<2d^jp0DSfpkmZ(^IE+;E7;rAD-)<$1ym^~shxaEBSQb;=c3o-mx46U|
zM{T}7rfm(pcu(=~XEMceMJOalI5~oeh0iyPjh5v=cT2fP#tA4(3qgk1EqgFay_a$E
z_J={>_`eKzrRp_}(zsBmeFQjJxEQG_$G#+*b!ZU*ri+K3gik{+(1>RQKxd9a?^_LV
z;G)jM`)5-^TY!{!79R_7HSpUujH^5^=@&Z}%sGG-ApeIY&~5UPv+aEw*;+LYSccWg
z*M8z*h6*UQ33;N`@Tl;sp;8W_f8DW7R|q49hE~m&$Sq_(xBvd(cE@*t=g`jocda%j
zfY*v)u1mk}`d<5u{f}=iJ?G-B8Ho<6fXck*yY_iQ>X|ozKqQv~s5Lm%IU1#_u{c9{
zXb@w77G?ybvCF5--jl)NruDelM%5LqUs~vJ*17*bzY)nOCak~@oTtoz8G8H}0JC->
zK$$$W!bj2TAoY{u*f0pz1x-@2fge#Ay~Mz=OL&DJzz?ZRZ3Bzf;o(nqE8lqYivcUK
zwYlxf#G{#5wf{E!uUIw;lX*J-f={pKaA#@0W096e`wPgOkQphPK<+wcw7I37s(7j9
z^e`K|h*qED62~#yL<uKP>s=79QhjCQi7g)D5QQK&h9~^CB7t4o&q6A$t7UD8nVpx6
zs=Ph7RXTq~&41sWpqnL;cU{W!Mr1yavFEAPIs#_8V-285OWXD5#P49c8yu^5bT~qv
z)15$5*RnI(YNRS53HKTtV=;*W+74G&LZVMEnHahI<nQv~6{dm5ZJHWMk@2mt;LDtN
z`M(cXgHw*j{^ABW-dGJ4&K^><_vah0*<yd}6zZ41aoNp3E2BlcoC{q7K8o2{EEgsY
zb;h6QDYhT#A(NbhE%5!%5>vv%W!Iw-d^+;Rh56h<3@RJ?rl5zamv2=4noQSYdvp2n
zjix_wIhf`qnj+?y=viaSfbON)6!4<Pj}Nw1fJixf*c`S#8A9Gs-JNCmCjg;|XQ{zY
zw4|!uOY)2SuCNMiHb_vj+sNcp=3Y5|A-mRe6lmis5tYJ!{grBP4i6h)OG3cL=%vUR
zEwzE!+fb|njqI<0LS^;j?4?2gr3ETaxjO;iE-XZ@X9?-nCgcM)w85Wc9gV}25yZxM
zaFadqdHzTJW*Kk^nZ<XvvUM&MzXMU$-IC7YuU!Bl_8sta9;70e`=TAH>?g7Uyc7~x
zhmn%@_0eizn<ozRZ@vI2>1}F%h)bB6_4XREYOucn+*TG0nAPNuNbDQ==NX!la9SQv
ze9mvF>;jq9cFqEmxP8IxY#qJi%N|sV+n}%E_`;Bo(f3Lc%);(n7v`dVq1g4WLfM)}
zPjOsAQeIhru(sNuU*Uc)gYf*M7vLccf+>iFYguofU4`=$yuzvUT7!byAOL?B9%Icw
zK9T^<3GoC%o~Bz7?aCnN<pi7@=1Dr~L}=ixB)c>+h=Z7&gSyDGhXgaN$%2SHUj15F
zW<1gMgy}{|-wF^kzeDF(#U@}#kAS?%j@5r#t1l0l@gQ#7cVW+;wfG5tMYFdN*u_18
zqa_XozTnInbxFPDfzN4Rp6kpLod_KdiQ*20yDK9jfWTsIkKLaH)*9^9Ykt`Lip3A3
z%uj}6akSa!XuW}b-<Ve|@UyT5wORqdyN3a{XZf@mjE0L-@^}u%psfa#x#%o~(c}$F
zJimeoND2JGpRFDpgYfnV(8foh2s^*f;0qyGBcSULGwzRuIAWvbPR#;P{}nP+J(3c@
z0j)=SL&%mxdT-Rt%^yy<?dnh57tDDPd}5i?{h5A%s7V8u4`e7FI-hKB8<g0`9}NM}
zbOlWH^?alct(0Y7;`OtyZfKx<YVS5YAWbF&EsRoVs4+wkh9s6i&e-Hwv2fl?1H{mk
zilw|FFe9h`F4IEyjBNdvSA2TY=kSr<lW@D9%twf30AURS<ZN1@c>@Qs$Xs~s8)Za~
z-H`DBXjJ9r0#i`(`7VQ{<+WF{`Hfc`q}h9(iG20jNB2qiomaxfN=@o;mU`bsLDD#7
z9W#Z|p)b+#ajqi9{yQ(noEu12YwX><d2|X)<b%gQ?+JB>zd_d%b22GZspMO>#xA7q
z${nwV97zj&+jpF;OkCRrJjX$h&6tgpI+a4BHKD<%ytlHtkZF71ed~cmIo1hfn|mkU
zT64cXp{rC30Let^(dXGCe=yEvVd^yz$@54FPJ<cy<qt?MJSrVF$1c0^s`8Pnf=BH5
zmD+EvuI8TkI0nRFw+@+7H-EHpj}nbRDebsU&=xc8#aqrHgP-i~9R94@=%a+gzD#}R
zH7Loc#3w}T7FehFG*<JF-5&?p0yCeIQEMyLI3GAgh8FI_tpJ)5PO=S7Z|or~THLO`
z4N}B=O@LoWZtC_O8O(yk(F+s-B{>a-bp{756r-)>h@S|C7Wx`!&{I3r_^2tDNjFaX
z=x!acGpc@tBbAOWWd9NZbv%2o@Xog<S_4DF0>A_w`(eC3aohXHzLEVvUh)_i#tRPa
zJ{itQX{PlV6jG<m*|ZW&@$Qk&w`hrhPSIgtdx14dnqpJMQ!i<JFQ~j@I&mAk7Qhmi
zITJn;(*BU;)loG2mC+HO@rtd+M1dgPc&WX+@nWt#(KWP_?R@KJc?~y#JTVH=Uv~5=
z?USWQRk?UC?fX(}18)|P185X2^uDW%tOHRPTjlJ%8gvm&o>f0HSN+gvN*7rTqRn`9
za^v&nqJ91hfhx<nBho0QbTx@_?+g-kGZ6%~TY1nwB3Ksw^hJF7MCe5b2uN0+LW$JO
zIEW)v1Gu|dCsGL_uM=Cm0#Pkm*Lpi#cCwkwdQ;G7am(v7cLQ2LANzI>3$@?+Un`M#
z;f7yZz5U@<3x9m!c9Ml%(wmM2E1qa2DEbDig8lBw#0!g(==<X6R#pN`$xA$zbhzl6
zr!BCaJkfV(bw8SgZEd<CqY9c3WRkU{VKvl?q=PV9PAhieARAas-Q?x9ovjw#LHfy)
zbBf{XD)oF!qBfHqfrg+ICEJ!{!iiAQ=j+-kVDRY#J}eH$ohcL^!_$$)PSjnzH{V8t
z^x5ovq{P{Vw3e05=M|)YkKf8`W|)q`wG+MAWNEL84Z`is#jAH}-k>`!g5dZF592)!
zS)bDR%ST$EeEfcHo+#~G&N5&NL@>y0XBvucEneq;vQECCpJ{afAGusc_EU`$baos_
z>>BZl3n!`E8>{%_doxlcs&o}PB6el)VD$B_gpa=1;Z0JM5XC{ZMvfUlr6iLKz!_e;
zQibrmkyOXxhNlF!TY9JO=GY#|)N~R7QZAqhEVmY)7N{#hfC;@hEu@aS?N?8qf~cjm
zs<3Q5%X|C7i&oL5&SM{ij_5AU0N}^_$m;c&%6T(%r|-p(G?hUrqw8p@@MAFeX7s#T
zTIrg<vM4wN81Q09*}KtEMP7cXa95xha1$use>#7Z;JgQh@0Q*0{~Q=Hp8=Qe5GA1A
z5wb!@S-YH1_({I55LKX2b>B~Au7t~AW)zt^JW)y;&a@p(G>BMKt*A{mJZ)ui9lrq%
zmmMAh4$FxYvq&T2*$5m?^^KpsH9%S7FjXJMpOjdjBu;i}Ng3S>IEFy@JCHOG(T?-J
zDkN>b;XKh2?pf$8@@kBVX5~Y6HB_oPWTj2H%*1a8pI!%i9tT57YF%)wmp+@4)xPg$
zg@@SAE1zSO2Knym@uoc!dMw;4laC;116?=-$KYY4iq3z3Ow+tXoQV?(^GWJ$$ex#R
zhMjvxe~_+Yd(kFoVBq~>Y6USTF6O=TnH}huAJu`a(VI#gZ!{W=`~>~k1#7PpJ?Wpm
z<EK;|M22|sQ8%0wSm8oWvJ1prgxHOkM-uhV=B`L&EXc>xk6$21qJUAhx%UE;yd167
z)Er55sp(u>T!#lG%`?gRmAQNt81}DaO3#W&yq3(#kfm4jmc#`EjKW8mTw>Zy6cu1O
zaWNlfcOTzA(q`MCr3mE=e46=BNf(3`*ekx%s?BD65v?25Y1YDI0^_$CDRFQ!O$^;)
z4%nX(5@Wk9@%}RrHSybx4zj7{r)o!_$Z?B89Is!-x#xYND*Qd)SdPFBomkp@G`&DF
zl^*I4v(81^kqI1X?{a|nyvoZ)sCLS%Ix}mRbJkT89&EIFFFzLKg{tg$>jlqlJP=ej
zCWdRyK*=D`C2FRpeBgx+OkSw|l<V!0JYdWY8@-86d*wTv4W)<L*WgtieNpG6&WuYe
zP96*g^7P;KP=WF(^sjPL@85D0oYR`VpZ>~PgKt0yr7`pWd(D3V4e%!}q~L$F{KS&o
z@o+I}uXIWOP1iy0&gKFx@W?I}%hDsM_0`?qNE_VND=T&Xmw#%aU4~yttL?u@D_d8q
z%*yw|zba7$+8a`_NqWp+ESpz{Xr@jknv56xSEhB}lm7aze%}$>5HaC)Om0Dnz~8y|
zF94?56x^Q_-x4Q^@?S1MS;GI+O}~l_P6P193u*he{$%2RiXN#P@ckd+-EsS$Ocwf=
zU<+_Z>LvA<&;RcoJ*1_;{wSEVz5Z9S{QCmY_TY|MbaXpk{dpVzzSr3T9Gq(AvnZ8>
zBe#b``K@h_UkLNw5>`oQ%To?G*|`H%y33$=_;gO`ai*LnD1khIKGy1v$ibWxNLa;B
znVoClQkTy^ZaoFmB$v`7uoDbGwLkM&RwQHy0#-ma0c?Gnh5(HIB3{K}F=f<N;%4%9
zjX%#;E1LlxS59N+X}gt^;l16Z$AQY9e#%>EtcquQ>s*a;Z;9dRe}9uZQ7$k5BbN_k
z-M*mVPuk3DSXPj0Sl)B-R#x;6mr-zRlW9ZP#SiP1!H*3ofu}x|Ko5~~BV9o+!00vk
zK4{(BLDd>y7^plNPk6I50i1!C0Puv!j#vh|)IuQQ>iN7sO(G3&0Feq*Z_Px7M>fdD
zefkSbuT+A(P52~fGBRQd$ll!qSnK&1R;<+LcPRdpI3}q&VAVOj{pnQX(%$a5CTu4@
znA65%H4-3_DAZ-&-eh&@LHtV@87`H|fD=r%?#I`N>Ytz+Pqqjl4R+nH!=Ulro<IO)
z#f#mjlKXkwD{rAgN<ItfLPv13)i3$)Ue1nE-#@)YAj8J8_A9rB@eSd-%YY=e9|T$H
z+2|{Uqocrd+6n~cPf!GyD=MrU<MT2k|F6Q`^#RM_z><j1x554pUDU4`&vI8p@WW4n
z+WTMI`IBsR4MmD<=@R@8?hlnmC9Vuwh##>RwcE85vs!xE3KY#GB<7~v+il6P`Whu-
zAU3uf6w=N}F3KDDc4)PxO}0#AB|$+Yjzw?GzUHJC^$<0mENhjhlSqpiU2cP0HDx-)
zK+f2_dWD%g%R_GD-#0!_Zq%96o$2%gN5mP;2~vsCN%UG?<!T|Fv0rzI(}W}V1n;1+
z(5q7DDGiCSS@BuxRR0p0<Mjrz&q3ut%`t!sJa!pag#a+1QgNNc%C7-nNCI^oxX%@X
zk!!<X6<TYeHbPfM%X@uXLC!d<Kz1)1Gy?hoLN;Ip5W_Ln06E~FB@G7QlCE`v879wU
z#ZwS4K+rDT1(=IIsPgOqGQ7%|B4<(ygWA<#-U3+>=z0zL;EfdDn?YHEr0lasl4LiK
zoH>G#$H5_I4~dSAfN{%$0}O+0D&p2mSw0j3RoA?fFUTSdN4A5zt{*n+H%76pHA3d}
z!ysq02SraQ@VYk0)&H~%&U4R%QoDf;aK_99G<Aafk_>`{dtsUvkc!(2{ke$%=X3J}
zv(qZ(ffKw}R5>VZbD_*br_$5mS1C7oD_8&f&JF-|O8avSm{JT*Bl+7j09-qoB<vNj
z1bEbiH?K>5mH)X?I^o#*O2BKc>s>^I%LbJx82VS@xuV~YSc%!O-D`9G@vZ!Tt<Mcq
zNvlKK86fd@{9L{VpmVSpAm+Qo=YoT_EY`#7ze1C%J_vHxd66o<Bxm`Y?|j^NIucan
zG%mCxZntLec1JU$u=QQM%<T#L8XPOygoI?zqM<MSRuAupXMb<E2Xv%VS&1d#2K%8G
zqRxCe{W&^xMN$pzV619RZ>7}}W7Uv`n|Wd*>z{@s))HPyjxWD{WM!V1z~US}#4`|=
zn`Bio*HG+B99sa&W+^t<xBK`gie17uMUg75AR|!Cv1GwyLwRxhYMZ)MSRKIliR8QP
z-AZH%;!flCBGw)5Ol~k@lX{VmCW^S(`5-bh9PLaxDG3ZdmPShR?Ph?{uq#``gNYCt
zqu0Q8zJecz4XyUk>?^Y&4o=X`b^Ad;4RRtVMMIVU3Q$0J1j10Oc$-kMXzqt5pTSA+
z#&^DYM1B66^SIzJV)tAFE4&&ssRjYtI)Tg-P&1xDb^7Yi$<dzIN#&1N1LoxvP!^JX
zctR)O2sX#Z5QW+esFqyml11t?UJWcGxCFZnBg886iaG(HsuC=nJhDki-ewv3L@~SA
zUsFruh_Yup!7R~bfVsIZ!Mq9H!aC$m_ZuQ-K&bnOgGXF8Zw#nAj)t&9AnjhBq(&SP
zGRe%vnVSVD9+$x?!${~VJlq-?tjkJdR9}ltst&FLn-iyOom^KtyetI9A8VC!5OL)8
zf#k1)E&2*LE?rfz-ibZ{C}N>EvFF=}`(o*I*J*caS~TuS@xo7WgN;1B0rFmSzRsPZ
zo2L`mB_<JiVkkwto+`hs6wxK&-sO?^_tKiS$oOqbwr>}auZb*eJQ}jQ+y3~Ds9m32
zE|<wht%B7~o<s&K%=pn&t6eXBUvDDKRhr8YbM1)+08ck;zRL%RzxJ53?1zh6eCj?Q
zF7o<<9lio8m_jkT{z0(a=c_Q@5dp^=D)X0YK`#TrdnOBBHtx5jQ5u{o?Uffo$c7JP
z?<_P2TX$>WZtxp0{cbe5fQc^l{1(AJESVn3QKeQ(lOlY&R7bhSW`3^f*%5sc7`pHS
zjlU0%UEj<#DD8;sO(c*J<<T$Bno7^n%6M?;ZbhHZG(D3(>^c^29ayn<`jo<CCSUBr
z&dt@?g`KS(1YLv~SXUH0pG*JMC4>H8`bVlk>%gn1^&XK0L8M3o>|$qK(F3DVl0LUf
zX=etz#qn=F3w`)`!*4R`70i#U3s>_T`cVK>@q*cPUyr>7`TNhHiDqZ28!Gqm15aAz
zIgHHb2=_CMIpJmwlfko>hl%eS6(7t-K#16%%;f!Ba8!p`;c6lieNrdyYj87lm!W)F
z$DB%LEsHwV;#su)I<+(;2kiG!tzMl9kXGr-Ie5B97Ta0L*p$q^DR#a_ReJnsi?u7!
zCtq)`{N8}Sbo+93fYqG<tKC~NMGqw6Z`Vk!c=fId9_=s{U7e3>*9dtlvz)2k&bUo<
zJ0bciN)F(J!!wNHqoGREw-M(Fhok|}(_17noepnY?@?q-5lAC)#%H|$K!VhX?!m(a
zkd=4^61)f!n1h*TkaI?x3R7)gmz=^SAZG|h-k6nnSxjWuGa+pGZTY)(Jy-A;2y5kC
zN^G>`)OIiv_&B{&7ffa~UdFfNNGRoMz43v>iOLo7b2+^AEDSSX)hy;Ug)D$dL5Y=2
zJ^aEj%-h=(SYCWoseGn(6()$Xw4p7wNmB{GIDV_@X=vQEJZ`MeVf{Re+(3|s7->+i
zxxsu`ey)wm<cTGAu4xCb7A42ja_ZyOXVXdjt&^v6abE=6p(PoyN{O0P<$t58nF%0q
zqe*zi7d-xLuYJ7c`*LxB6?gHG^{vX11ex9oE2AvdSXlK|Qyhy&;n3k5t9*CS?6I*N
zW$Pm2&!UO08nEqC^L`mpwq02DJEnx&c8U1D^zpJS`#xp_Me%!a9^NwTB;mOR7CNuZ
z^xr?E04<9qLmTAy#VXx#$!ukMj>IFAevQ<A)~*J-FqQDg%gUQk5PTGUjV-cEPJEr7
z$+b#+6d^iQK68yJji3*V+x!w1NM-a0j)OjHbOlX52n!8jKv^WwwGnO;{@ik&lPB-0
zw^OPdje?tczlZ6eT)nyAOeQfU@U!*O8wq%%U5N4ZI8)FSbY_qBuJ5`;i1Fr}Z;PL)
zzaW*0uZxp|gqSmn?&KK+G97u8J%qPR0kPwK2pd``&O?N<i=&Tbf0Ml&Cc72X&E43V
zI=R)241&f7SCU<bqT4<$Lt!a#zWJcZG2Zy#7+mX6p|X8qO{>Y#8MO_){$L}lib2hP
zS(K|5INJChv*s>bd+4}XFrSdPvOkuyz*c0=^p;Dxj-)A2AbGl@Wd)8&8sTucdUU6a
znDw6ckHzBkPTsePxrep(R)pB<VX2k)T;+HN5D0f8@1+B7N>bOioU3+4y^ca0@@G;S
zLFnVXJ;L<^Mgc2GgL4Iu28GNMI*|zCoM}sx=se*+v%TIy;n-ruQZ|!AH`)9k$@-bM
zMNg(0ncq6{l0iwE&w-zCESM5dR^%Fr=c-IjPVO-CJw26^dJ07ktCulvjBx49a0)_B
zg(Z0*_=Df3!EczFfW8@mAUTN+7fp|_o*;b1`Q^FW{UE|<oMRmBXKdFDWZkJ9f|aXY
zddsSvD!h(k!%nehqVOtUPGH2fr#ZqA)&drN9Ji5(f=E1p0$(uycFRR<ci`k>x1i7o
zZM&#0{dx`}p?03G2I-ar^SkS2CZlC8c@7F;A5E}t(E?vT3w~$$lUB3c0xz1F|LHX@
zb5myYz>DlQ@w`*(TLiR1b~~YZEf?=iC3<fUqs%>L)$Uni&!;%;9+BT0cqRMQe$20^
z;bL5}pPnSv;k08pB=8-VBTqriki1g+V`hi`U8$n5&N%<gLAe#`jz`?xZDHqdBsf%_
zj;ec5xfZ13f2o2S$#+KOXUxlB#;Fze)AzOuOt}w;opG3-aZzW%1vi$bz9Js1_eGcC
zrPWsAt-~+F=%#$>CnbT80RcRSx~4((lcpYCj1R@xMd|>>Slw`ZjQ5xI3qAPrGwV-H
zImOs{xr}&Og%_Ke4rJ<?gU403kTM<Lgp3-AUbwuCvVWG;+7J>hgpZ1)N9MY9NHv8$
zn`Zd>gn@LMF#Ct!C`i4QRvWg6Ca3G35NtQ|V?bH-ZUBv|EaisnOmRJplET>(3?Mtk
z@dcr7T&JqwBOhVGc!o+L<0MtIRW3yeu`Xf|tI{lhG-wPj<v)u(IJj1qPwAodC*Th@
zK{aI)UV;Dfp~L*1Dtqrm;lc@>1X|hp<+Lm9ggeJ>z6pB*ZG_Z6_Ec_ZwiX<Gvjo|j
z8t<E+mE$q{hRx!L<glw&eVD^FqDQ!~piw)A(hTKqw6h=ISfxCq*OMcS!|A`zAk>gT
zqNp7cWGBVJaLupYN2JgXzd`-P4W^9peMFB`P`E@i({{nvLb(&qa6y8Ng-?spht(YB
zO?cbF9;@?Ok%&&5v6XOYma(3(XrwviDwZc6b)r|j?8uQa4_^yC6|Tuqs+AfxY}(?3
zppSnk2><~C1>1;7G~EdI&H1WstCyWZBcHqNcOKp|O?qQH|Ft`-^G})jn|?6C0}uhP
zn+XWSp|6+z1I><o7VWkiTZ5t=57#tPG4}s1{_D&{qd?v>4SHSw9ijhTa5EYNaFnRt
z;)lQT<$u5hBq-1}vNG)oGhsVDI{8K`!ZI-{H_qc#;aH47PFf0&ypF3mJL-h5ay}ok
zo!6-xk|C4P{PWqGC%~_6wj9SOr!rc|&rD<vf?9Ix?gww%&}Z?&TA*5a-ddunQ?Dqj
z9`h*X#YyJOp7J9c+is}7>~^#`#2CjV9=d`kqB9P98D@YIGCUJ+QO9Y{^|dei*87-+
z-E&T7d>spnElAq4@xK7dEq7j@;yKUnx9<!=Bb=f3UA9YHmeyhLwd5Bco7JB1B|dxZ
zkbUXTo<<XY$p)E((HrgK%f#k43z*{S>>j+c0JDnoP8q(|zpqmsD``)Z;6_oAV=@Q1
zX#-Kpm_w0HRPXof444N1y6$SZE@n<qf`i!;71a`Jhef0rlsew!cqzwo%wad)9Zevd
z7C${XWNF$-y30#-xhQ)j$-4t|^{0sQZ=Pc}%7}n-@nvPGj8(M7p#?-fEFk~fn~AX&
zSQVO9!y(8|HH6Q;T-c4EBkyE1dd`N`V#9z|J(=VF0jSgr37H2z2Jhlk^9Xiqtz+Ss
z<2^ue0LXX0RJg_SpP*Y&KHV#yC}jRX%yHCPV2wVkh9_L(sIPLS<~Xr_nC2}~)FwK6
ztv^ePW6!B7kme)4ekvFN1UhXAybn4$XR4o0540zU6%kRN*996kd!Tsp1aEo-AS|hQ
zw?%=wmIoNMC58S<eE<k2m5hO)^z-nC=LkK{o#9yqCSSdwOBYPWfv}`<t3!HB%$t}4
z9+Tkt*|@L77qB=+MR;g5$7-68zHPMD)=w{VJZ(gywtB%7paBBgd3bIgvtpCYid!HG
zL#5DCrLBvM1e6|A$jj?jlYRO1PSj;LU{oH<8{VOxK@Xh9q`d)0dIWGElKW}0*Sa$v
z_O1i4{uAi$S1N2gL$(*}F!+gIE;zp+qBOxXcOC9s)j<<P(0>mi9C+C!-Nzn7-6YSi
zw0Cs(R>!V1(W-l)FjbN~0O#p_4+wjC7yKRjVQql3!ua6No{5eGYrRmbZ5cyT@ZjT6
z)Bp+#XMm8<u!5m|pxfySYl5t-7t#pYK1$8c+dn2MXA-l0@d@<KzrEzO2358zlj&rX
zY(X8tI@ESYFN5l<5V)dAmBmZCydFUn>5(&bnqOh&y+xC@0P4Pw>gU%lw*<4Sj042U
zky-=002o%5;Mj0yvV{ec`hxGb3<|&ekwI=(z`to_riVMA1v`n)YLR2cyTS@;fn7rf
zWSGT-@-EnV00xfr*3na_$Zf=GuOEYUk28fg@Od3vpK1X2X50Tpoo>Jy#=(d^=+Zb;
z+UMx<s>7qx1yk(C%HX$#&5^-&#rVU)w`+-=S0-v|m^wkfbh_$g_b`FZO!s?0z5&rg
zMq=RPaHj}RN`^tDwl;hWNWrgn*Fe2rqJs4K0^!#X;}ubwCiHH!RbL?+&=UKg+2!ws
zfZ8TjHcCFqYVc4oQMJoF8KQUSq$}W+#==yC;ygOlg8}uqr|uBAyxN0N$Brnd4rIh>
z_H(5A&Jy=lV~&;(f1T)xCI8=Dc~x2v-`)#TTPcTgnm!%p#W8VT9UTfbPzE`m(?A^o
z>oV%9x72m1A2d)qZ^Yg=3Yo$szGlA&;KwC&)I>67@jV&MV06(2{^KC|Dna{GDW|4`
z5<HT#gP@;ASEOFc#AH@wYO3suCN{dV3_%=#Xj0(|qeeN}4{pS!A=1LU^1(*U%lGb~
zDkn>;Uz)xmv0;+V^q|o@2o((%gsmos*(J?K%WfP2URQS{$>7&)#B5<p69+*!tT6)7
zuoSLxM!>2nO{Mt~h2l{Vow-#`t%Q-rnKJnOV6U_oS$G(hD%XFG7nuz6uQ!O_16@m|
zsnS~hv`AT)R`F?Am}8IEDq<PXk5&)K_Jw2*BUN5GYt~~z&X&k>bWTron@1iAnjE(1
zzq#A50dUmh0Z@nUO9*hsxq*X-%TL_i(6qvhHIR^?(Ppc1?Xz1dY5bo(0ibv#kTZQ~
z3ymj{2hF2Cq>LGLr<F9vld~0%2*}o`k?fO=A;`oY(6DTP(@cg=k)|gD^SD(!>(hvo
zwFc1sUJPQ3opM<MW(Fj=Bq>Yg)MO~o!~b4~>(8clrg4rzlOv5N&UrjKS~iWCoUS$$
zj*cJ^xN~km={^#Mi#E021x%ZEcQy|D7{OZAh7sH}iqnTry**U<Lf(br@)uKzZgV}-
zK&27j`jB5h-b5MI>Huok3ILnOd54I`Z_kY(ly#4Cvc27Lklo@v>(N5wrY9r_nYkyN
zyg64``w4T>rQI0uF{Vo*j9AKVi^eq0<7*HSlAagDMdY=fW#%19q{hX05NH0>ML-gT
z<@z9fQi~v2H|Io6D-j!+{eNDTA{9C+-6bI0S-iu>2b2r;U~BT*KfR$re%&xcC0dao
z>7ZU6Qq9e4G-Nbcou%O9<+3g@d-KV-*yh>y9KBwLfDm>sZ@!ITxQqAQb$!<qV#Eb#
z^0ybciGuezb{~ddqbleH&9_Q&KNLE9>dl5oSyzM;(kJj4RSo*66778%xw6kX-$_Ws
z8JaI2g3k|++^d=r!z+|rI!lhFTqK$`k?%4$lKhFEWr7XydVGo}FOcJ3uR7EH{Ai<~
z$NDEu(0q|{TxY>)Sa1rt#t)+oMY9~Se$EzydbEJOzcNCm#&KU@GK}t}^PT>)0*sOm
zRW@0TE>di&H*?v6PdcuP!aQ2+@FqIiPB8#ExBsJG9iQL13%UX-IQ7pAQC2*<gIFW#
zWR&*IA*tl}LLm@OAXB9adm&e<*h3>eo+MO%MWKwHh;Mz<Wi>)XSC)Y!(W`zUNLWEC
zSPm9m<ngTWZAyuhL8CIOCYygP0#Uqf7(_hzrS-l9`Gp^bw^1h3GMGm}NFsU3K$TQ~
zVcLl`&_PuY4@Sm(gLx$hHMGuCr%tZS977OZuS^=JQThwq6nXR`7YgL#0b$;>rgC+v
zdDvJRhmmmF%aZ$Pbp5j9wcgvfW!(=y;uLTWndYX^ru-0OI|Oq8=TXH*iIbOMdAc`4
z>!@}g4McB6M6jRPuJ7lLJ}asqp(ht4emEUJW2C?nlGZe&q@dpoH<`0Un49|P4wlus
zTl3>$c(%X3&-*XI(*im3o5}j-Yr?Swmoc0RwH!@8=Q<`RFCPFL`LZTsV`EAxf<MWt
z{w6`135?7r1_B?nRH6ixs_2vQ&3eyVQ&!K_q(7JL=8dj`Q;e>Opm1)6_8#m?YBn?E
zMbzTnSXWav3pQH6%u0OKn-$HhXU1MQ&XV?ofEqyq(?O-sk6(8;<+F)+W=a)3iHc(-
zpT9)35}}hSpsNyv%Whg*hnYNPMkCNTEw#dKwN;3ikHZAT)7{jXoN69~KHJJnoXJyF
z7P>#XaH7r&AkKAKycY2%*cAL`M{zacRb)|S!0LV02Hhp<wJZsA6dh3&y4E|sc1XEC
z6)r<n(}iq|*Q&Sgj&dbSx;HBl>?Nu-#<7G=r*xx^cM-*_(eLB>FVkWLZMsr&4NvE+
zP`*NW?#xIF4vU3ZK9;E`FhXQq^Va?Nm*3viHa(%&6L?B0*CI#w@XJkAW7m4Z?1*>!
z(iO0rB&`O-%V#ccpKcjopOgwnH#L+C2Z_Y-h!)BXb;}xEnZu2aRN**;an79Vu&34q
zOli$1!K~3Um*gqz{FR@^&r>^I4Zp`%Eyb%w$j@Gh#YJ!JMerfVL@*Bm{_5-nCqacm
z@8fKlKllDG(-Iv6J~x-1iHy;o^!s0oAi5U<J@s8aasOXc0cf!ng3ZK9lG8LVfG2rV
zwNbr8AjXgLr9*4%r94B#*A?^Rr6+q;W;%`E;^kuUqvOuoaNc7VBL9KX9-ICy^1Uhj
z^gjmS(F1TTKjF?+@wmH}?{(I_xM1UH?qB3~F}_{Tu794TNbjB+VbOQxDCCN;hjt%I
zcPV0)nbVkEo?uAUt*4oafiIM$Uwj8QSmN>XCOewMcgr||X5Xnec}VoGfl-0ez{+L7
z!-DY5S;OK@S_YXHnU{e|A*EG#;mKoyHTe3zjGpFm8MzlGX?ZMqQvNZi*?AS;Qv5d6
zG6-dcw5UHVcS-0cer85kay4Vsgi`=eewjY<jrHr3ft`O#AyD<Gz6B3q@gXs!^AuA(
zWSJjV?fr3R3a>q2;-2`vd6C{keEYIliF2~vnpfMLXXoklk9yX<MgVM=`NntSVsNC8
za%@AAC>wrOmT^r$n-xztELxjGfD+-DD0*+Y(B*-iF8hY!upTfWZq<n&I+In4+#%*s
zK*o!`sGp|so@cDGZ4sYj$}l=NB(Nc@9RR0jkFb3BxqJ9c72*edko~tO(ZR7X)Hz$a
z7%QtY6`-m82NG?8TFrcxZu{lP?eSF`ox&UXGdE-7$Hd0$ZLN#ISQ&zCU|Cz@^H47p
z|K31kic^WhtD&8pwt&-yoS&jaU*!^CUb6B$VzA==8HkS|*17pS7g!<sMm!}I6qMgs
zReEx^9Aibl(-O;n*Veloh5hLAmO{+b*<0<xrpDD{(8{9s=!Vo0V6Z|V)ZU_9Iqx7l
z07ub`y~RZs3ByREGssvwpIjT!WcON3)Z&h;aOi8}@Qc>)11&8>A)m!8EqY{wdXvb|
zq?^pj3?(y=o;{$zy*1sQxh{Qp!+@Ne7JVgI(soJ99Q5am+|1J^KxO7Npj8ixI_Lj}
z!V3b{PZUsLG^cOFr98;qdo@?n_z(#56v2{k3O}xr8$5W?55^0`CyFeN3SB?#1K{>f
zh>str74DMC)XTkRRn1i*9?2k|%6^fOw(nEvxiWg3&aS*t2ef|@bKGg5tl0%J4}Bnc
zxV!QhWYmlv$3~b1E;=e-z^QvTu=V6E(-w7KDbQ<O*F21XN9T~Z2ZH|E=;+b?)or=q
z%iB{KInr0n4M8UkDz*rk+g5<6{zXHot=L~XGq??E_E&kTRf>q<^~zv9@*Q-xO^S95
z+Kmpr<#_TGrCY!A*{xDpTV=4SaS-t>QyQk&-(#(8Ta{~Ft|GEhA``BBn>W-ZW|e<Q
z1M$`DVH_9$(h0{$(}<#5*V07(<pQih>F9^s*_X-bm^@iel`n7)ATUt=9TE%7C8X2f
zxI9_c+3koQQ%|>iqQSKeA;m3*DAeT0Ws_&qlYJfy4IV&vSN?kK_-VnFs+;m84;*_4
z*gSv_luk9qgFy2*eFb8#f3HFa2A_SLiSV^wgv%(L&j^#jADK29M!dK%I93xFm|-;n
zc&zq=1*VRpL9Ee_#cOHI@rQ#bQ8$ZsKqe(EILG+dAHoefvK70XR`J?`$k9v%nOKRL
zryhZW=PUzYNHo*_*M<jkFtX^dSCOab<l}szX>7+3Ic`{4^N?ttvZS>FwhL*069EE=
zOc}HB2VPOJB(Lz&)(<yPY-?bSyt9!AEa@PPwcGuQ-SE~Sm64iUkaolkt)R$5f5X<K
zb?u<(-3XcC%N8g=H}D+4dDx_H-VPDKt5r>M{szQnp`wCE^k!%{03kbk*agvVfk;;;
zNB83y-v#-6GnXR7p5|7U|IbRjax*J)0YQUx^TxD+DaE4I{KV=W+4e-0f*<!Z6UQ(W
zdP^6l?!vZFq6N<y&GAOJ0eS9(84ceK5)Xo1_yPtC&4}*;+VUHO3`!t~7ViVR5Pa&&
zby<{mEoGu3nz*wcsvfwbOJHqK^#D&RRqaABqR!yxC9UCP-cL__mxB2a0w?#}rk31Z
zr+5qNA`GAA!hO1a9uA7M>mF&i_OJjLMG7CvG>FvbYSm+JVUWdJc)uyo$<;5Hio(Zm
z3cyiaa81T&rlnI|5(14NNj9P&#CEKJ@u~?+<o*eeD35W#ZcH+d!L%EdCxjk9MF6!8
zn4^{BI9AcY@h#~AgLCA&GY;PX(2a@%#<)pa<7PR&C||T?oMT;=M!x}H*US$bJ6uUJ
zgNHd>hngcfYJaE9o6z}1lOR)1!_jG`gmX>TD<jO&anROtT(L;HLy*@<ka>F*^k3ad
z^%~6ER)>0p<`OD*Zx!*2iQvnii3!=u@l(zU^SR<jP)MWmufDv<KPzD4y%EHg79^-(
za-URguV|t1^mt2i&ler#tfWB5aY;B`g%b;Z5X6aZ2u7F<gn8i0=i79@&VwW%6L$&P
z_CGi2pAX`x#hrAy{%p$`?MR^rON6)qKIuVXRaZc+=vIJx0bVUTN=Z(muXx``usmWf
zJl!tm$b3hdYTIUl+w$JT=V}sOt~1nIk30w;aiORtIgTmKjffJzj5MPtDq44*S>uHG
z6WvD+bn9fo3#;}CdoP{EQmzt7`bMP;^zKQ3Wx5QLOu&Cm{HE(pXvMkz&i&vrkS2V+
zbbC{v&9N(^X&&X|siRbM*tAT93H2m%iWh&&dp?on_Lt@5nYP1f>)km^0Ba8pFtt6s
zbl6#5V{_3v3TcARMsZ5e1)~Z*^3k1Urkhj=XKox4Z!`qjE%)dK>8AKg^%oChQjjKe
zHn`hCsem@o<l`f#K-TiKxxB=LC|I>?#xHh{^Fc7O<@WmP>GTGOHsO^=wx-9IaY9Uc
zaS%WOqdTEzaL$4*i|QWM1xf0JOuJQNr7^#dBxrgcA@hxuLU^%LmMWI`SouCOJ#V~{
z9=BR|uW8YXuM3fPmftXL_3kcAWsqZ@C<KFpu^9&Bi)+Eiv~MIhutFf#&1;Q#UjA-O
zaO@nY^aaP&?7xIlu3E~Ac99r7Od9*bK~h_o@;6e@+zL`CZJXUf4tKZN@_XZz6JBxE
z>u-koURr6EUY8D;@5DyxnTR_+8yXb1Vk%Aa@Eyy!r&JU`+TMXoovU8bYO+7PSTyo3
zA=1fC=Tm0+EQ9wXtTYX9``mQA&DM3NlmJ|#e;GXKGElq}gC=XQ%)=Yfg)-AhTS#d%
zIr`iSN_re-H9{PBI0p56{pwYw0tQxLi}0<@14X9K#vAvMM4GC7a6_DTwY2k%Sh*Qo
zVZxdSOOV#{H9jnTx@8CizY<g_?x1$wiR_YBK&rXoe0c`L6XX(&5%GqR`cHbnxaa$)
z@xWWOKD&(#1T4)lLznB(Qfx_-^bI2~lhYp3(d?gNCvkh~*d~ODDdxT=(J|%Y54SU-
zFW@IU`Voe6gOL=}E9@z^4yUf5Zep|L?>_sF=LOi|gxgfHd<PO1=NZ&>S*jgBwGF4n
z>8PwdDDC~mn=_WA<L0!)U!*|r)@SJ=i{oyso>e}-7!wWQ#Im=m{w3LnB6Isjm8Z<*
z4+$-TXUVM>2m@#Q7#<m{Z&IA9s<O&8RjS}$og_!}Nk)a2l6B26(~q;C89c{BEH(~P
zfl<P?$9Y+`o8xPM!%js`w0tY!c2<<~NG;CHxxSd3XE1z+!&9wu_r-;A&JPn92^~J!
zqcC}YJ3Cg|?!n%2gh+?;{FY$VgHUN4aajhU76TiS<{#wgZ$CdpPBP4OBd!rjMR*40
z1kBK`^u2$+l`^HrDgTIkjMMK~s9+mn2B&!=&E=^OBla21!{~vu`6!$P(?$l_08Jh3
zs&t#{*bAlw^mh2`O8J6gaT56g6jy($;a>@iCqKl&P6f|$!3Agv3Ot$(-B`xa{}cV7
zQn*SsB!2nlYE65;gAlJr)=&UtCk%GS;o8yNjVr=K=w=5P?tG<WhEg~;(d~1Q(HbTc
znhb9cgiQ!RqTX$ubvP{G`ZOS3*G(_TI3wKGAMUQNPdRXmm=~Wa`JV68{bc(R(G5xK
zjOz~+I<n!c5o6q}rp(^X_XyS)1e<lS2=;J`g@`ssM)9*9_*Oqobs6E=-aHJi24s;M
zB5tJm@U2i6d=bM33;2HcJ8v`;g4JJK_^3kfRQ&l%5t)bx{@CA*kXsPseNiMmU>UBG
z^s?SpkvM?r<&D)KiqFS3-t8Cep~EkXpI1;NT2Kt}=F8q|>V1&+*BT3=X*K|>Y_s2Q
zMWp(xv~m_35?Q~cTA6AerS14geMP*Zp7N^Nig?dYZtW!L?7jK^vhR6+p;ejaO&U-{
zX&T7<EmHhl9Yh1V>9(tqr`W~+g6TiGw`vOb472wV?KH<rd=vdYu8?HAs?ze71b#GJ
zQYn6*wk%H-dFxCACnbsUNl8+%MTxo@165V@kZ7B#O-%ej+BTd)TCI;N$CQ4Eti^*+
zZEV2an8hm~b-uudtB#x~RyE?qoyfKO5G6+LUlGs|^qi;6Z=+1Mj1yPtU(yX9B~EDm
z)Y~|DGSb>qZU6JKd*>#iTxc1pg0jk0hJ6dKp0~AF$_#CQ+#|8ME_VaLfW1LLI9mBe
zFq^3q%S&h{Ei&`YPZ4;3ECWx?5`clP?ASc6c0)#M*uI9C^miCv109+tIHs39q?ybD
zG#7A<OW3=`3o-r$ZOT?DN<&0f@9!%tZ=g7&8)bk4z$<vHh2lXAkP<9@^E3=N_~HBV
zmYPM9y#H#&6921>ScScoV%;rZY-lLKPo=80$|a(lti9;6InBv^X^{ViA!I?}b^fvu
zM~JYPoIv?36;O=as488!{JZ>ZhJ#c~ip}-9n3mH$8G}NHM;ezMW5jre+kAE|=PaA3
zmkNA}6q6WEKYI7wr<F8A6vv45DjbF%FBDT09Unu5*HUncpt|iT>tNkElCiC#oFL>L
z!q<XmWvp_~$dccxBWZ#7l^dzi=%}FhJlgT(@Tc(^;kxU70LRb!Y<w;)fo0}xF}|e~
z5|9#beUpY?Auv_mX`zIlMBW>Kjq^QJnx&5*U##F+{5)rmbB+(tJ^4BSF^lr0#x_g?
z)W!geD$U_1IRzi_N7~O|Pk>(06I^^`Zz7OY#FdRQ*CY4$^0bHoOKiDYXdqR1K1!<J
z<Q~Fzr|eE{yQxFZQIY4ozTHm;U*EJggiejKzqD)jGtV8$J0sz#DuaFBZmz5&$V&Tp
z^+yU>T9>mBPYZ>9H0f@=ZXY{wvd1)3<S#nbobF^N>#i&M&Xh?k$AvuoC~J2#_<<#R
zIgw>zFlI$Pr!CmhUil@1&T5+LE}(0bz5WhtnD>zh#SSC=-fo6~;&+EIQU4zB%L!=}
zZBY)HUbGna0zr<y8a(*bzz8U>KoYM6PD^Y*V+s@{QAY=0iLI`}*;s+d>JDzQ!i@dt
zpf^Q~s+Q~c?v`&osgHp_DDPKk^9ZpHg9UZp%?!$%)3=nNnXdfH(Kz$=oDhw%iqifR
zuuMJooE|3@xvY#=S8hr6cwObVp_qb$weN?M*1sO4c&!1LyOFyW`ktyd0juY{QzQn=
z|81h(v)Y=C+`w(>lw>#p&Ifb#+&mQ5jYD?k>(6rSX-A|`++Mu`9A2Ni?F9-Y2O7n9
zCF~gCr&jF=3@J2d{sgVSD7#obJu|>=aMx36IAn78e7`fI1PSJT6x}I`2+?K^;u@cU
zpzVdLb?*IKOF?46v4C=#*XsiaoSt7ORp`;p7z-9SM;kOnVeB&LeIw<i3&Ul4nx=Ni
zKJ-A3(fh&^coj~&n?;%e5lxpI8_YcA=l%>i#KGIuf8~7}avu<=-i{$*&$K6ydm{SH
z+YpE$98ZK#ftLO|@T;4u3MXY0b++3A-HdC-6Ww!?_A*;%8pFo@9D!A#Fi^Kdhnxs@
zk@UWF*;^j!UB8y<`i;l2EkY)XJe5mSIlI8cVdC=`qnPb%|JSbcE0KX)LsKG5_iDKv
z3O)DRwyL#&0=T-rsAdiLCAp>s)+W&*0oV1+$>*sfuHilW2^Bwy^@AT<wFx#Lr#)IW
z0U8+3Kw#xiIB<L;L&V-+>F64+U5Ii?t98PfxoqiioqEgV$;$h{sxj94U}}CEI(hx4
zeMy`+1zzfE{uBLFNuj=t5V`NR8K8KtP9XiJ7pA*XALvhf@^|n`9xF**u?{>rd9`xv
zYkinYu<Dg|;t)6@zeQe%qf^U&G2j`gfb{5xOL<md#59Gzt)q6&0}?H6iferI;Lb0~
ztt{35`js|!BRz8EL(H8ahlz=~fZdyssmt|F{Ka>~Kbx&QE-k7ETN+-Om~eC;x3d$t
z<yRMW>7x(s-2KK8$NH|UgZ>Y<c}t~CIEDf7IT4H>3=tRi2tB=#mDFwvc)_D@32n?W
z!sl&3&D+@c_(lcPx{@brRF0119hc3syy*w#y;erDCssgQ3y8%FI-Ny8Kv$-5$pJUA
zeFfCZ%K*dmWU2%*KgJ;9xR3I9?l#m;^`QGT+W0VlS{&l36HwYeg(U$8vRa3;Ly{X0
zSe;-@#^U2PUv$d}oGqWLCq}%K0yC!{^f@grWb7p!Y~18T-d%Ste8%k_qrsn8psO@a
z^pnr{b5$>KSGpXiz>5$v?vZb)^<5gH1eNEULH$W~f8F(CON5n8hxd>w&TW7Zk*)|N
zHck3{6t994clRR_*U~62tLPD@MIV@?47&HIphI?Wz=vnrSp1$XtvXG<6eMN&6e|#o
zYlBz>x-K<>YC-?|OBY;6b4*Va4VH55P9{5B)y70y^s@@!#oej8WnY+zS>!RO38+32
zz<=S=|B{aI*;0)D^X*hpSv!2TLm(3#^}{38kUd%!A&3p4W;%q*k6^hJ@i|%zSh(5O
z*Qr~i2A$XrYl1-zzPJ(?d%uln7ow^`Hno<lX8s4!;Z}A1;mm;%>)c~IU>rU_{8*eH
zb-POSy<vIb(K5gxpXBj#J2zUlFm<8;<?n9I0qQl;gfvu#`|3>&xOH7=8#cSXFF?Uy
zhw@u}?e8R*YE$dCQC;UnH-V51jp@ATuwG4-#G2C7T41yEgwC>CmOAtmW+uU;(qXvR
zML;^v0G-lFfI+nUpSI3AEXr?v_cIJJbV_$4NJ>d}sf47`Eg>Z^^dKOe1|Ud?gn~#*
zcY~BlHwYskj37v#HGA*x{`ouS_=ne}mooFt`_5X=dY=3K+`-hQ8o@04awEZH<n8ft
zr}6U5Wih^%k~vrDKj{Cn1ImMM!c4J4oowu9JO=%Q#D@U6vl{s5qj<|s>~G!a^4X^O
z->^_x>*Mo3qYdwLbj)2wUxrPFFESPWtO(Lsa`kWz92zn6O1kmBwg0Xl!uu9{(PTsZ
zL2F2ZT+@o#oMliGtgj(#xb{?MdoGUB#I&vUVyEB+i!`chA6`D&Fev}=GQintMzJy<
zs~ef!=)2uWOg;v+_mp@9@G(C;qM>CNU$y%%)QXjZwy~d^gBk_(1$#$9gn)z$V)9&_
z?jtFKjfAuk>~Mcwzl^a!!L1yLBT)i8q`n?=B6-PSFt&E49Bt%_SAIxl21!{FL>Cz3
zZ{~F1688VLZZBe9UY5TUR&Pti!;(6ts9F9q6Im609AeS<_+5mlVp3=n-31;s&5ir(
zf*mrL9Kr_am_o`dtzP)_>K%ti)7E{Wr+AT7(4=oxIh5HSm&Nc2yB?6a%VB?nJsP89
znt3kDgP@+y!&6F@hd!naQ5Jf<VNR80B704KSc>9s)k34gYwa4rgY99tTpUGD&>AE;
zoaQ}fAbrYRg=-g{W0hV8dNZgWP^b_Y8M1ZJG`^jItgG49xjPVt8HzuN?@2w>IVl$6
zw6-_u{;Oe4CQ+P;_z*EexqEN|hLDY+zsz8lP*O{Hg(WnEWj4+-IKAR!S8va6WKI}$
zuCArL>eHlO0X^~5!Lc2_NYW+!P&tjQ&SNUq*u6c|ZO)w_SUbs6JuJUU#nDmSvfn*{
zF-Ms(vZV}kjRTA)S9s&3tu*N1UndZPfYffnYnFy0c+GkMb~2nC7s`jJbNj`?^VPt8
zu}BQNi6Q1TrW3?0hn1iaN6hCxl$ru|KiAct+REfF<JYZ>64wQ8x=d-VIVA2j+in&{
zENU3ZSAB`gc8r)Ju6xkh=I}9T9<iP%5w;zi)xhPh!dUa;Me*EzZgi7VnDMUIap{nW
z#iQy^!*vckf`mq5@Ibe_(@3DC6>D~n6h>3O{!E*H8?;Y`$PUNwA!uefiBsn12+9_>
znVgU=JMw^^am2(n)}axDS?;n>H{ltw>H%Of#SLEGWgUly*cbd%8jZl23ee?d?RlD-
zXl*Y_C-L5mB19Bl)*QiwP+_hC^1&ah!Q`Y^y-x`}c#kWk3B@Fw+|JQ1)`-siyJKyp
zx5gzOo3#cv=xlYig_xR|K2TbY{bnUG)p0@~pX^In$NXf9T(Dn<Tv;UZ!6Z2|*CFYX
zMbLqpuwj~ZI!Anl$mLBq;r&*mI7Ia{B|TX?g3!BvfcZu;U^y;|#T8%Y0J?^P_+!+G
zuhz74O^UI+s}iZqzK$s8@_01f7w#p6GHJ!+ljR;I0m28P=h-4?i>K&@cAo+Ic-%m9
zn%#o|9imgZ-5nFMNIBF>3n>Fl3Kps|6g_PNAr$h1FnK_j^b*t;|B%!JH08W68fjVP
zOL5eaN)G-p&#m^L!}Ig*`&PjwU`tlzz8#A#mp7s!f6${tEgRJQ2MZDlDFIHQcy-V|
zI*&o6V@^fk<|g2{wta737q1E{5HUUS=ai_a_)u=L&2ZL?c_&>Vtg?WH$vypfJtxzl
zeEF|Rae;}k9LuX3U#o=$<DB{lZAQILi!1cYWG3Fl{RLu)gX7GjU9F|Y+`T_R(Vzc>
zJgvPxIe05{ZhZ3ReOI5-5#Kf)szcC9U0M9&Q{L<0Ia80wv$KO%d<9eQ7Oh-i8)d^W
zJF(SjHY`EJ`#0gtPDxTa8*&d3`pz;GF%Y@oTp?`7{mT{TF9t&iB}JSZ&CYDZGg7G)
zEmr#%pHPZVN%@GMFz0ZO&|t;TX1O$rKp3;k_Pi4C4v{Pp@3KF2_1h29(JABc6_Yu-
zeFbLaYp|#2%L@GDLdsV!c=bEOuiHc^Dyy^I|JQS&$WL@AHAM%W3OnrQbdq6kru7{T
zcZw$r*e!V@%!j5j?YAuN-t3+(qnxD2Zb3}xd(KCGc>2M2BXcKJ5$?*uYNx_Nd}zA4
zm^Iu8L&>62=OcZ!{^i~MQ)wwO$z~}}DtS&sN;F2vDCB++0J*t#Cyk;mXPj6Vi{yMW
zmPP~;a&v6$fMWL`_9$3k-xls6ntQ`K!l~MkT`myO-_;vMld=TmDZ>|_N1@I7wnqXr
zB;{#>>wd_1GLfR9K2WxfcD71_PcdXeCP|(wQ?dRXp4?t+LTzitrgJX-Rn=fvs4bTr
zI&TUXvp+pWq;}qi4marL(VQBUTK#J-WuOeyAKJIO6khkcp}2KRP92OkA7&YPrSTW<
z|LRTuaCLmKFbdkx%!iXZ=62s(d7UhD{Ax9lL%v429GQRl!ez|%m=d0CYV+pxgB|l@
z|B>(RA8Nk|ngwX_qM**%b1_6`1c8T$HC<Dt%?K&GPC8NvlX(p(I{FIyo~|cT@Vw<+
z`OW=Czui}%)JciBn;P(Ny8`&SDok$VTZI-o8=OHySze2XJQJ5`3>GY<(&b2_m}eC^
z0@`wZaPfj%B!g4LbeSlL0MQ|wg=3%-&;jO)824Zd+@U}Rfzy}FlX@VUfS(MD<=R*N
zvwqWN=+%kMy@B2=AI<E~Z<gG+#U=)LzS_X(iExNq`Qft8^pjR2hM?`qJXG<U%#DUr
zc%^xmkHKfQ(<jaZeEqxlJ8`pXanJLKeQ4<#GgIYT6*|0N-8QaFq*P-oqd^l+tgq7X
z%A`BV(cMtVY<-wDlnj~RW1gC)ai)kXM2b*)5>49wcB$+n4;qj77$BJABd>CpHEP(L
zM^l$$_AEFFVhW-6V0MkJRD;Qt6Q2cB;KqiQ!SZq|^9b3pEm`))*L-Lt1SgebftOp*
z@@{L^{!{c!JHuyx@=dEXXiJ4JR!MY-M;`gXpsbfXO$K`!lIBjZ739~rqR`~2ZHwyJ
z?fnzt`xOiQW#Fd5A98nR?C~A0&;`r?VP0drk>lCg7NF1eZx3qtS4^+xmQU*9vtdrV
z6~`*;I@85Y;~mq~OM#I^rm%gq;0ghqxO9PJ)0SI$IAxQ^LWp2y+@~b2TeCjbCPpm9
ztrq7O=dy8y@OJ!>iF}g1x0n_Oxa?vNQC?3ye&FjY^rj|0w8zJmfHhkjd3>E|$E}90
zE<lW@v(p9=#jI&9p(9b1UO0_#yPgQ#ub!5XiM0E;&CB23Smg9Dc!WJo;N*hPZQ2P-
z+(2})k5)kg5u{QKkt+);cjWWqS})TT#I#IVotmAqyvdurHWQdE8->R>*6}kSfx$(x
zooqmCFdkNpUc99s>AcoAnkmbg`1$52mN}XTm-2?{gW1b@k}Qpc3h8#-u^~+!7H(>f
zSfb9a@M}G#-3Q<>DQ(pe+IOE+3DL3EV<x5SJRZ>i3mg}rMu|+Jh#-{oc(>Q&*k$-_
zUPP8uj=&E-Yq9`&O8tr1^!+}D2!8^YqjR*6Bf^CaZ<}e9lUX!vd0(s@UkZCd4wYYO
zmEH_t<$UfcBCA+K+KiJZZGQtRfcE%+&Mv3^<?kqs8!w|iI5mHVaEG9CB?n0$(&Jkw
zCO~${&(&3Sy~s4_O`6IX6+Kx0-SK5dB^Q(<@kP#gG>0yym2dbPtCPl}X^5Mx<Fcpn
zB-*8IIuPIOK0K?~Bc7yL;yGu|TXVpnw~aK0y+V|<Xb4Fu*lhFfh=p4!5!MY6KC@<$
zBModeWhE48v{RHxrG{M3BVm2hqAk#U-v6IHhY_>qtfld^b+GtfI1l*?e7Z;Q+7^e<
z-n`9i&5FT&d{WK$BxTTet6eVMWsUglbLH2azGa%>>@%|gi?|2IIl?!?B;r8$A(k7$
zOmnmC;TP`BZ!ky1(4G1e(i3~|_2nuMR?Zo4Od)2;JhpWx>bC3i!7q;YWy%tgg}508
z$TL`7=A>5QJAKL0&n=MS@jgeAW$BM(<Qp}sJ8Gw`rC75&$D*h_9&`Y&*plfs+aI@$
zmo)fgh5cR*Urn0T+NnTTPjnicn?2grK3X1}_2mojU0>Js5|T`c*+jTqhM<^`cfHxF
za(ltC=7qR2;-*b@<)Axw{O;rE1lYedTHh=9;MAFQ;#S=&?V7EhYxhB>H$pvi6n~3y
z=bm2zp{boYGSo2+*+;KiwnrS=M{j>=#&F1yv-jL|n?Gk%wPL~aU{r@;l4mSo<b0)v
z;pr#oKXN&!TND3LLZn=P?qZeIJ%D@C43{l}ESk%9BChs_S68~Kb29IQGBY$b{tr%U
z{T`?hPafNf3xG4pstM$yNPbSF_v+_0b81VI|JAO3k7-xm^4a?IchB|TdUjQ4c+SiJ
zQPciI5M<58=-izs>0PDluW{nzWv&D}%B3l!^o&du#A_s3zf?^#O<75?XT3aW-S?Lr
zC1`r8if!-1A?8%(V~|~}U2|pjgXTEx>vtdrpDEoBFwV^yznFRFq3-_U_%GE*3RVEd
z1;3cn78$5ZEenb3{M2epou_fjPjtG+wWHCg!?x-21VEM&kM;AXQgM=QBk2mai|UNt
zT#UMG^4ci|qWdW*%t9WiA3GJd($y9&{e=nyoGN$l2?YdQP6X-ZTW@{Rr%8M>PE}I`
z5#>ANYo7zVr%8Nl6_m<l1bzs*OW(JqPO#>`YQ9kv74HMveqi?O-M5~_w8A-pIZJ?b
z=n9C2L)MxdR@!Vtw8HHcDmP?Y7STR~TzZ>Cq-^c#Au^}xOfB4ZUez}mAqe@-bsCQt
z9@TeT5Y@k}5EuV0iyD{kEiS>q&fWa47NB=jB<>WecAn;@%Yq2*Y;lTMZDWa=8pGGh
zRl2Vi1y`51!W1ghc6kk6u4$=~-h6}0`mT?Tp>~Y@%j_Cdl|PPhP2Zucon5>PGx#Ow
zyZ4E>pq%M99FWjlF^HZlJZ(L_QNoahB&@-NXGeSzcf%cA5>j7UaR2XKI(UriiS_m~
zUKxS*Vm*w?1qpRR;#6pCAqXsC*A<P`^Ns-#oDSz*I8B0bLp$73fHbh3K`lq9?cBQ{
z?<c1FaiEb%|9wlq=%eLA6u=fRDQ*M(_dzSPkm{7XnoTVepqh4of!Wy~z1mYwc54~;
z`8e*rMoSTJ=FWhoAk(?tr&zCmWJ?f6FfUi5)!_<x<{B>Ku|4(CzvmquDYF}w&dVB1
zZ|&Rnt^#Rb!Nq&m&W!VJ9397BE*$qNXbxEQ^$lrD-h6Zp0%$EMXO7|LuJ1x{khreV
z&{C>UToO7-oXmGkeLliJHC#pI41|c>->u-ne+9E<b#9?#9?jPuV)al(Io$?4RzK_H
zmw!tOFh$ka5RWTF6AODEOW&F%c>;*Ux8fAnzIRb#LmYU(&L>FQ_(Q2Xg4y#+&BJ>z
zb<kViu_pNA0vItEwelnoT;Ta58TBH0O2LGmq#1IZrBN#%g*mvl-ZOn=+f5aK%L?TH
z=CcXN0{C1fK$yVJY<E1J0O#GHwZ7y}eD{j#Gy8lnz^Ez7Q*7SAimrp+J=vYpLJFb<
z>~2UINQh{%5&}L_pe@;G&H@MdJ60CVhrA#-MWsEvVKsrRrvlymIYXoi6ZC-BgP_MR
zZ2^o*3pvU1cx<`m5D1(464XaF<o|o+DHsNg4#fm$ux+BTvhRXm20RwUc)X}##38~s
zS3cxuALW1@7|BU-E0%}6AG=++lL&1v&SFiR(b=TN%gdIUniuVq7Q{|mvL+4cP9WrN
zwyBAqs?<zn9~q*(2_e*F&d)X7Pp|?yV5a9-y|jypoj0LFU{p)G$7u5c16WKS^H)rI
zGKaX=0%`(y$OJ>DHdIg6m)0FtjFe`}K@f)la0lKFII6}I1S&EyYb1=#1LwmifPT*g
zSG^G@`dhpgUd9XVX<Q(mpU|Q>MLvWKc`Xl$BEOHH!U_I!BpxL)R=CR=<*1&AS7TJ7
z$3}H{%Wnsz=m}cLB<nA4JlK$p1mzzuPmY8&buw#j!%YZ0hM3#VraAKIDt?!1pIJv9
zxvh4|8puvWg$~nw0&vS)$;_KrLLi{vu_+cObpF#)s0`I1vI=9U-n5QP^Dg&1JKFUF
zCN4k`%+5btR8madHzSP!_i#Q@l2oq@0Ayr@G-)5*OkTu5keqqPbSg>TH2yuuqtXML
zG}f~e3k%kSlmiC{0huD4Cr1<#+s1<xm>YK45Fyx!FYW3N<WaW};HYVxmZC(_s`~Vi
zBX%IBpT0TPU#6A8z27A*-N~T!)SwyR<!_nX>Qnv*Fr<HGvu+;m-~T0}EC#f&)8W#}
zx5B{Gq$Taya%I;xPV<V=x}_`<$!vLZ`NjTS*@uV&q~ORXPU1maJKKdi&qxmjxJU9{
zYw*eD1WzUUcx4>e){yFH<pTF>`V)y0rGm7ao$WCOz$SU=z@)!6t6#Zb2MfMgEdP~E
zv%R#NPCU;J3=|$cM`Ahkv2UZi)CH@WJHh4s7#V>YA;vYGpL`-1Bb*#R@QjTn+Fw11
zv`b6iqDFa9?*his<CUjKN?g5_7OV=0V0&!E9b_DtPTFfk0jc7(oO0`{a2aJjttzZT
zb^5i{MT|X0NjOJ&q<y6UJLW`k|7j{6<ww>r+MBbiYg_|1`@G)N6jG`@q5%}M1DOqZ
zJupzNYTZ>?r5o9_QRK6!M;whoL*CtskpLHPxbjW!zveRl1O1HI?#;%|kEE81Rbwee
zN~s(XIdRwcU;g-d87Ve_>lrhZqM%5n?s!Kwh&D%_q6*@D>698WTVWF+6QM!tT&Vrx
zXiF4dPxB`hFPNm00u`4ANkKQ3yRhZR8IG6}E(@+Oh3%G#R=C2*SA8k@jB_rr?QpSh
zh<L0Mf_f$U5HIHW|L92n)mcD*L2OS!TKNDafnFTcgG*1<_L(zoH+hv-uP%~oZxO>I
zs|p$X>nbp)w@}QH!phNL%`^6%W{t8f&ECU!?jekgz-1X6&r=Kssrvu#|ALWC<~rW9
z`(Jb9e@SOEG8Khb1S1r#<{iOK76n57uF0VCY|WTg00hMWa8Tw5sHB7s%_3C|?&dxI
zF_AyzS$;!ob4v4h=ZU1Yh<$p`m!%ySozVd~oT{K4>8^njT^Hk1pSRK?jetGF(_19*
z-}e%}4psr3r1FMeUth~e&IRpRID^*+4LrkRF`s`W9yFt!erYl+|H1qu?M{~8JKw!l
z*N@wdqd(nUC(lP`KUq<q5{Wti7Gj5{UnjTJM1Ow($m`iP3YKNg*StLeurcXUT=z4$
zGI{x^!q7c5eFswhchoO_lg?J!MGrx=dvyu&oq9_i*1LSWo_<4&U)@i?%F}>?z4%5`
zFWHABKzH=g^5mt?U3fVz>r}LhnQ6UXS{Vf#-rO4&+|qi$CY3n*!scayUv=R@V9bBN
zF)3-_$ujW1FFN&Z;Mw+!N861`$Isj|B7HY~EL+~)lbP;K)Y*;WmzWL5E4s#z><G*n
zPhc&~a+kB)Q)nc!q`oqwKvwy!1I{605<HIpmhiCL(dw=K2y%i5V#7{d+IA^zPgU5<
zQb=qYz;9O@Z-Q_AHY3C_aX1T+(l7hUY<bviZa$sK4(@tYl=aA)?lxaQDp9=nXr_Bs
zVDg<;HwPqy#JJ=EfDKh5r1j*Ly?@id*n`pMSpU?91}dN|bQxB88H7F<^>O>Pjyu_W
zQfk~9oOQT)f$qBxkex@y9~WVMhvUUy>t_L`I4k?Px{IC8Tcc8I_@$<3TSA~udUdbZ
z($;md`5^+EkXm*YI9PUM1MTbH)-gv7h*hOqh0c7d>e^PCc!tM}U|lGP_TL7mojR}(
znu1(bi#u|n)}SsJ2h8&=<~ziSaS3f;zs$GshQO`0KDUCj-!bQBw%@-_7r4Q8!KD<G
zLju*+uQ2++v>H7KGbzC_(4;PW<HDvza9_MFXYoCH)bO3!<d{Sy3%ENPMB!BTF-VD)
z{Z7Ji$SsHK2xdzLm;LckQ0vrpivZ4w4}H|aXf@BBSL?Fz=9CYqg7F|FSJ5xeJ21$Y
zv=L7hX5Bp8Wd2$#U}X;hYdT{$v?}tO0bpY=`9cS@2ixBH(lWw)R96B;vkdxkUPS>a
zr>DE@;h2gaD3a<g^}@&yr9d!Ua`>_J^t}ZT3j91qMdXyxo!%`GS{!0ic`6mcTkF+D
zELlGr2e5v=ToSy-$xg&A9IiBuH<wb~3rOAXReJ(_4v6weFC29$bMlf~$^I&Tju{7K
zOE{0UC*s-31qr!LPw#(St#mL4m{ITT<TGCJ&ijrFf3FECF<^;T{W_TM8qkys#YWF=
z=91P*`<%|cF!{NGDulWMo{`vv-^dggHh;+psjCNM$-%8D7Jvzt^(ZxIvq?Aqm3VP}
zF#kAt@d-`@u(;uxzPP^NcKnm6&TU2t2-?zMEf@_Fu{?xw2wwb_gi%qi_%2fu*pn>6
zy<NJYEN(8*|DO5z2;=dR%?><W2>O7*4CB23Fc>0t0^T6N*<lnw&#RC~cZcIL%Xi)g
zz_rH8i2ByOwxVdZJ^8_6<8G$_ni0!yo{$!5>Nfd<!&50NoNc!If!2k5o)bt%B1u8A
zG#gUADb|w{2DZ@pL-zg1{4};2|Gh;L5?)poKZT3!`G#uP{mXc$(q8jH5{&P33^0mJ
zx=2%C2_mw0&!P1D)WC7*>o=}O(;z<qA_{KviFeS3mw{n_gV(_UC@bbJNTwl=E@&Zn
zqw;6NP+A|g4#cTJo+1=OFSfwQpaB>aFX3EZ@?8H*N<-(GRwm(1yKG(gleaMGPA^O;
zpMxKR7O*5}1~5Ot=QMe5N6qg6wZX9fQi1uSll|PV%2I0x(~ih!!ZSVXNj(9(Pz=+F
zLD(7@l;1uJ^)^c{v$CXGcE1F%kjj1PC`T|JD+9Qt@*I0mp1A|nUwJP_N}^zy``-uE
zRU^ebnvVw3kD0O>F^0X#X~n9O_&)i|`gFi&r~Kix1F1bZxSGiWy2V1{#>aM9(g)hx
z^8qbP-u){-D+@ICJbbr^9<y$$Nb=ly?|?(dY_pmD43|i#S#Rb-a+0p4Uw)MjtCbo|
zr9z`jh{qs@kn0kiUz@x3->lq$dCsgGG&6car-9M-Sw3#Z*k=rHJNyeqOIw{TXt8BY
zu`d7+vL(-vu$&Aa)V-BVuqe?Uk1YlSv&$r!IP~GlTYHuGc%f+JJDH+Awc$?j0SUN)
z*<#oP!p(X}rBrq`<-NWpY}wTYSaxp`(>Ci9&%5oowD}UtpthTrmh8OKfLCvKj%2+6
z{?o*5NnuS|zPzqLSpA92Xm53QgZQjsShEv^>HvlkNyd0wtv5$?uv8COcwvW{*<Ec=
zwVP@Yrqo2a=Rhx?y;%+tg)ji8<J*v|Q7qQ@ON4>{?(Fw1E-*7_+AqpixLDgufYEBC
zBjy|hA(o_mWx5+=LXQLrJj${FD6QYZ@2kFs^w{@JMP~reT?i%%Wt6DX9OJl6r>QaY
zMlGJc(Vpv2GG~wMFHilt5IA!4-ONRf06KeaYo+Ybv>ns!?zNe-^8-Bhk?gG9)p(i*
z=vAKSqg@8Kp_kttJqB9!>A@E=z#%I;_)?I`-J<b4M}Es|Evbg!nxN;vePHMf1A^(c
zZzW#UO^<pL9s#^}G=4ZUq&riznSz#CO!*I_1yI`S^*-h4ACs`QH$`t^wRe?<7ngye
zO2ml|fI?J(IOG}gB|c~)cEF;XM20nSu?%5Shf$%+GaXsiuv=0&G#WoEENZbnNztE$
z2p~m}@U94Wo+_-xdLj`#F!f{oCkLC+i=_3dJy@Kkln}B-0ak)(bY0N#BYu<e?1P$d
zo;;w<tvCsKyJBM-0<Deox0Pkk<wf@W*_S%n`o_P&A3H_5$FZpSxC25zDY*C`FInJS
z2A=MQ>`QRQDPdnvMW5V{LCl!yBALnJi%B_#Q?V60D%5X6(olFlRL%1DS)RDV3~Pp*
z$N&gM(D7?n?`S-Bu3Pl)JN^8Ynm4(3(oZ0Y1&N7g9N@<tn>mIbfRn|2u;3b?=CuEk
zgc?|Yy_Mjzp0T3GLSypI@2Sy>M&G^4+1j(>WS6retDT0;q`I}FrtXf#nuqCTpB~AS
zDTc#_cRU#6P9ZYeW$9o|wfK>jjvMB_n;@p%uz5Sje93R;k2u>H>?tj2jv!IW@(yj5
z<A~7ffQ`%_mN%Livu$AA`&eF%@t@^#3Z0!M*oy_=fk2e?agNFdm*jxK9Z9@ro>8g4
zd3?_Hn7n?)ED{<xW>-D3!9a^$g*1{_I%gEd35C~oIky3#mA=v*c)sr{XlyDaAH>)k
zAGj%Fod{WSE0T~hdg5o}4&7ZIw--R1Atcry6zFzx<(L&>j(Mt4+EIch%nBd%@}I!m
zSjiA;$B2o26ghkB)HU53kcfO7pFS4IOi;ThED*_ca5qSiAAITH!}&@T7Rb01Ytq0n
zHbr7mF6NufE-0_%@D&H8Cwb9$iDSl(d!(Y{aLWcvaZ9{<$Ae0K(6lcB-Lo73ulkMm
zQiHj2c)P4M(955u8Jql5dako!z9<rAnZyhBv_h?>-$JiKYKI!liiX<&tUrDCi|(1s
zD06<6Q_e|EBHg`daA?O(&;GvsF}E^VzOlE_cg_)HJ-FOLkuQSGgm}N74SRC{L0$`-
z=kJ&TopJC25xvN8(}&AH2&Yo}BNIh8UrY7%1aK*m?n7eW<K3<*D0ckYQdfA95aY-)
zs1DLtU7a8#FYdDhzLu0qUo|?dq5=1f<`~5gJc_eBRi5lszZjgM`&lGjtcVYDVv6!?
zellVZ%+@wJb-*+POV$Q)us^7JfC3YaX07p`c++rc9C;|5h*(PzD<+R)B~6yH0s=I8
z-N8kABRk}2{c_AdrRMtfplPfqG!Z08+LnZtXHgxwkUPFc-<%#9;e7{i(=6%*+H>f}
z)?_(GH|Cvyxtwu%8NbM4BYfY`Iz}uv@^Hdw@|t_TLXK4pgrtGFzDI}t(C_KzkP7!n
zh!7`&L@!n{S*)NYmnjcVRh@xh^9;=3uv!x2fB%K4OGyQ#M*`Jg)RGf79pS=!^9ciR
z7E#v)9K;=3rt^ALUE}v_X7W^IbDdb1&Jy1ae9(-D-2G$)HNkFi{QO||>%Bd(EmZ2m
zXTJ#MN2OaVn(FE|83UaI=EANbK3FsrKJwB1W2;_B1kdkcfI(~`yDFve3^YBl+R1IB
zp)8886;w7=h}Uj#0g8h{{l2lXn)EYV!zwd8cBrOoD4l~n=X^@FVWglpO9hOPLSm3R
zTTeYy!<Mq00tVr}ow1CB2(jSnKzNmLq5K=Eo46`x2xBmSYykHl33_+ro0?efNPuRu
zY4+NiHVB&{`Jw6x+wYm%(k%F6SgSPyA&5?4WMb}Fh1Ld{u8}8^Gt?6rKx?Tcs_X6H
zs7NXYl_hnCkoVGQji^xg#ihSYhj1cR0<B*re27#|lftdoxXrvNLRo1&CmSEI<`8a`
zp537O(Ukggfkr38Wbjx4k#lq+aetp!>>}behmsI#;I@5mqw#+YbkqL881cQUVX5)A
z1^|;Z0OB;CUpo}%n0}?sU7=w%Fq*~k%L~&O$4KvTD}~WG>JQIz>bb-WQajSb{5f&)
z>Dx78*k-8F{oR8xbh=IU`J9mxFaij6jAwa#6%<VyViS>wCsfsjC_SGMR;GkrmspRC
z{Dqgtkxh|eCxCo*e82aL1Z(<>Gdcw>xb2UAI+0VY5~nhvBm`TgWQ|?Ic!CJ*47EPG
z6_rR?(bq)xc|ZHbb)&%m`4E)ALHqeihn?&pLkrX+?enr17h^RL?~>Gnx0<eG(*0m@
z%c_2bph4q$GmDmPi&pJcR63Zf{7&e7|5uwDqyu2JggBLpPjFs`Fp^biNn>@=qo3;w
zBF9GmEwxsEWT8?wP*MHTUMkVZNoaZ#<W%+s^kdH1^qmptSH1VN**^7_`~8jE!^p9{
zbpmR$_Ne{<GuMK&g3B5CC2EMYTV||mk;Ov>2z5vJSHG$7GzZw5e&#I`{g`BQ0U-YW
zwY3_9+u~rPwD6Y;_8-}`$iG%DwynQAH2+@KSW7V-jrVy!mo};3+>Tn4%hJ^v-f0ts
zIy|MZC8M7|_-Q>+wos<1PLVTu*>;VUk8B|Ai8yNnM-oqio+#Cug}=4dU^sx;sVs9l
zuJ*3V-5nzccBL~!i!;9cv@tH$I3n@}j5&W6=SkOhW&<^8kMJ2bCwb|}ZVvLNG)Ic!
zR0>p4DRw40p>ZL}r*3bTc<$MWCe~a5;FqVvHDvCNur_7NodXckNgQIXzH6}0z{_#w
z;K%Ttm{+MiSG8JC0-!@)e9QZ)a+e<8pZ76nEgm~Hm{APt`C-GgadbA!pH<cZQMRCr
zdrftjeQ=>VyOV{_1p83#y8WDs&VL?nML&$E@R6F&j{rbrBfjo7x#C-Gx0QKOJG8Ss
zHGJv+!R+J5VQu5jfqfH7LWBS_VhPMP7?r7cbjb^iaTjg!l<vqze;f6d8f&k;vSi*$
zo?!qC8Ie60COXTUzSs4!Nb}Z9a!B7C^Wv?EGm{VWK_cBQ$Cxv>gFp#Q29cf55}2Or
z>FSzhmGQS{+<z?n5Ti@QnIB+&WpuWGHQU6HAy@i~WSQoA*<ku4>vgkyRT@4kI^npv
zn4JhD@yd{Gzj7YeiV6XjdlWGhoaF)WFckq7MF*0q*A!Vu^neJr=l*>H4g-NRNV>Ki
zlx^glSH<)1{y90`XZ!R1xl^@=3ul%lzn)GUhmM4dTs4k-*$%s$lHRQB8w^1{2qL$c
z4t?ZqC6oBg;uS~(*qCd4uIgbb^xY>`kv#>@i506TgQa!YtNGaQjsNK}JGVR4gT;9=
zbm6ha`OJAt@_A_YaqCx(CvLk{F?}?u!AC6YmnYlg3TOJ=qf=_l+j8VA=PfZ)SNygY
zU&s|KnbBxnjo?6=?xVfA5|le<;I^^4?D<Jd?xjw5Us9Zui&FQQ{Iu&;H>GZZw9iI2
z=muOez;*gBn0(*Of)wQYX+bVuKrjRyDEWxAxW$KXCIQ!!*S}Ugb`eC=tbqg=(p<Uy
zc9>4p?!@B_TR)nnGuc|?Y!zrDVyle=Srq*wzz);Rw=)#n^TIy{`5zSN=H3Gy^KF}!
zpFm1O71^EisO|V%aJc9NG)_9f8b9`RH5v=5pECuj^{6>HFF{I^mneCu^tdJ}2Bkb}
z5t>Y${U#!A6AND>#^C*q?^r(9O9<yMwry{X1#ohateuj;Xp+U3H(KE2&E|$4w@)7f
zAFto_hd}HemhCtDurO<Oxd0Tm>FAcr)9vrGunZ#h?VN~b6H<098?Rg?N@pA3%+eNs
zu7r*{t~q(9bvV1K(KdJ55k_TKT-5moK#v4zMj58SNQ55LbRK+sEz3^`S3$&vAZ`8e
znAk_qexLj4qFTZN;)H$$4AOe<Uaf2%M9l8+1iIT{g16$AYBvwZ>BJn}*y}esfF#_Q
znqvgSKCbfkL;Y+-d4HaUxZ4yF%Nz`vo7cISfqV<@WU18{Z(VNjS8dTPLsdsO;|C2O
zH0x;)EyxGS_V&dW^Ea<mx)T*nq1PIb8<798)vh~!np}lc;oK9w4ahglO}ljuP6Wre
zahgJV{c+Srk7K1*qP2JAIE*s-`W5)46I5BrHL)qeuQuVF;|x(G!GOf7^HJUVaWGe4
zaVY<)|CMm()yD<}TXZIQbto;m`U-Us@H06Gb~zOm_h(}#<{&ru&rd6j;InwSsw0gs
zI`qzxMp>h@?JRK%#pfO;wcD?myijGIViqGwRnK>$If`;<L>vOUt4cX8&o;@$+U8ty
zJJ~XKO$s=lz;Ul7v+2Qy!7$ZKaM`$SgW@NcYX}wT<}!n9JYRjOl7}x)Y((&v-De;s
zB>_Nv-lj+lWXXIpf4sYplS;M+05MVBTGJ&)vu0KHT3U=2=XZ=UfbmVhyj~b+o^vy#
zeH^nvo=jn)OU^SXc4S&FCP^Y;++i;*%)xmvB3NtvWAm@Uv^;J3)FF_C`KBiNkG}Aq
zBanu|?@-qNzS2K4l;f55nK{2FXqY^eQX0uPX3v;)XSi}mw=hmy1dYoA&Ke4zLLY6?
zRBukhCyS0TiN~xW6^G}*lS%-c2FokqxXP`BmWMxEDe*wgqz)UD=k;R)HUpk)Pvy;w
zli1{xkO3JM@c2>4b+_CIZ9EN^)pPxgU)0|PTGFPgR0Aq`DLkqlRwHBLbgn)efxZK-
zvU@&sMeQiD_PR-b<r1k2WoAhnbLWhN@!Lz_!M-ly;ni)C2q(T`0X7nc{H~>VF)usx
zTjFOnA$NM*5AsDiI_8B1Mbt8DNAEPZD+OnofRFJ^Z>c^eCyLx>Vl@)yIrxjFU>?A^
zKB@#aBs~fj`v3%p-tclAx!)bW0HoHEpPN9Ujcn2FObU=Hc3oj3U)o-9|Jmjqh=Hl1
z<-i>#^jUZlx%q;^1HZ?wBz#llpJlI|T9q|+ksABpYW8_hC+CVGHTOGdfSt7il;Q=q
zFE3EyEc0j;^4x4nbYIvtw8zp8cOXBtdhjI=`CJSCYRBkrs@8ii5AQ#?@Fy>Ar4Ltq
zDHrI<ei@?GecZ+<;^f}#H}~7Hg+YGY)vlQIlfQ|w;E!ENEygFD122O?&05DxZYb>n
zPh(T68<h9|IWGmk;@WTOK;U2xAYPkM%m9aZC2vFwrJDYm80!YZxl0}`2H&3d@&?@b
zpjRI;7(~vgO;-@3xzp10kRo`Ly#SuQp8RS<5kGQb4`du#%Kw`88ND{4`EAU@-jF53
zKK&IE!B*d^e3IH;XT}u>&Z}lY<A=IgAY_R*E+X<VCY7EkOkuph+EA3=Or1!=<aAnK
z^MH=Cj6&v*)_d}#q7Ps^mg3pXK(2g9Mt|``R8{xQ=&>e@;>$*{_91VTI~w#VFBAp-
zJQKyXn*K#-PEK=ONQ~u%Fe?2rJM{F27hu$1+v#C>1EX}A1@Z3pg5P_9bhPV{6{jwG
zS=VR?87%C?!)l_(vPf-BgY{2&t1sOILN!{HZD)l=JZ8&&Yzwk<l61UDFoVp1P%?sX
zN}Yb`Z^RNCL<WK2E0!LWD)^-+3U-iAm);d?4Zn9)ThiXFM~7tyfe_r&QdKf!;5!Nl
zUk}8yb%Azft14$oyT~s-{&MHL%(bLeA+lS91k~wdikB392?UyQ^YhIp#@m;o|5~BI
zLN%=p7O6S)cGAEPFSaiuBsm)_229<HDO!H`YXl#X28K0lzm4(tSSPtq-D?O-Fuiqr
zLv8N`i+Zr5{+>@vj_But*7>t58kXcgvpgKFf3{;vxesF&2S2KoHLvUzNNr}uknT>A
zxGWTyT$6L~Fka=OFuXB9eeLa1iAb8%04BK3ilQy_S-U<lZ{%0e_e3~}Z^Fsg=wj%f
zd;&WH&5Ll+qVo}#&@a5W7eR%mv6emxFR=9kN<?pSkE_xGPrH%!Ev}5;WK??vy?V(B
z+ejD*@2GBuaQ-zZRo&GGq+7^m-cs6Jb6_#iR^Cl{UWY!WlpAop^AdEaPzJqmME+)C
zC&zaqamH=nxZm*5kLXv6Bgd*e9iF$_#8~?1I;Q7dAHVlxhFT%*tS%JQBr12Euk($^
zb0_&-$;#;FDcX1I%Ce><C<QHprS8{K#nzu{`KVoQ`+{&YT&|&f#nlJq+X~`?SjZ@%
z5HXq*CKqQ0Zfac2J(pl%H`2@uxc$Mw{fz5`VnF3jNukB}!P%R++e$Zj!*8E4zA3&z
z$VU{bI{as(ITS=|Ns!ACsvCLLBC2hB;;Mvg=39MEb!!VBOKwJ0n%<lRH#Ym`$<Ti`
zA607xwiHzl2B-q6_Q4aB_%TX+DI6sy%(40;5%2Uvz5FWLbuM=CsU&;SF1|VX>l8cl
ziE?+duLobCf+-dHd?JP}`6$Qh&(KgQNA}^#Po`NVrW%b=dAcpUDwUo}Aq~+XUhKgN
z&ZQ$?t^MbK+`McQ8`1VL@~-VuYw1HZ{7JCb7{%oH0WpI4bJBqZ3aQ+JLCv(%Mz!DL
zb>Gg5e97h3w=mGIx4p(#8sm8sTGvZ$d1KQbvzKwO1yUTpe+hnH)E3|$FCh4o*p`dZ
zYAiMQJx3<z0{_;)-9h0~e?8uvUipqzVe>xu8&!QKzVXuUFCxwj2XK@Zs1@L&d7-9{
z$?%RGW6AM8vwk*|TgTC#l8;b$u?IG-8}F~JhMTgI#x%ENdKUKU=bgrqs`+7JT&IiF
zUTYuD_FgY~H*Fg|t7f5U{hLPm*Ifl_Trv%>*qs_1<q+3u?s3-xHiJkv_GxN?j6cRB
z=0?I?A3<7$RmZhUxX=<QdvmQ&?`l)t&uFT%4MC&3^Y>`^E~ul)T-S}w%_>&<-lN1f
zEw}>Ta|e6qeR-E}Xl$=9aQ1K{o-?oj#nQi{{qOp<J%(KKjihaV-6CF{>JLYT@t_}g
z<dRIZA_p?$O?P7doEEcRZcgp0?q#Zx=LQuO!xztHVn}zGyyo3K$Xl+=8PJIZfxG%-
zZDDtGzpLOfp}YY&CH)&h%jyd*x!hS|%JrZgPAkpqZ)e&+Ib$d!VqZmO-!JAQMypKj
z_^42E{h+w-65su7aCw<(pe#*$pwj-UCA&*5%(D3b#n#u+Xy(8YPNX*NF2BLuTLR->
zl0uYc^9ZKzMG~>%r_K7uq1dwA*On+$N%;&!OBqvGKr7S`o^7A|D%yTF{oBpf)VJ}m
zanGDw%q-^;wiFy*EX|%9#^$8;*8N$zQo6|d70Yv}UX#MPrg-E!Q-}j|$*%hyA^P^b
zBH(p|feq)A_fCQwYqkT*$_J`?oOcz@=HBWVy_u3Q-g^GaNWRYM%UKGmk7DzTha+Qu
zF2az+g{01A!dFxK%apr3)xDVF0LM`F)6)p-2eKmSL1ISN+as=9yl5-;Fi;(JO6aqV
ziGmZt2cxo7N7=-*pL`ZNn2~8_$e+wrQXLJ}=suZOj*W0yzEN)TQq^Pof+76|4>)ds
zyVhI{R?{FSH1n2w+cz5lhP`oDj=*wt)0;O|PdwDlM@Gn>UEN$QbP816t89x!INa%u
zT|)Wl{@6%vWkPTDy7VS9QlV+$Id)E57YjZ;w(S08S!jFmx=Mdn^vr<_!j*WTI(nI3
z^opayz}qO-WYXltb*&HGFAOG{HAu%xN-t)QW!AMte|F1hNft=(J$vqXD_>8>2<I(C
zZ-(&|`@`}eJo4LToLp;n3Pi6P6>RCjcM0Ere?55Z#U)+D5qS@waHn@aCL8zZPe|)4
z`ekx0Pf6)Xu-o17XZAW<bG<@8K5)IgIF2GNMH&5maX*rkjZ7O(H_vN+5e=7aernLk
zIpujzJLb88)oj_-Vz;1zIJo}!-11O8*LTLJcZpY7@Y^cctOhwUy&n)%Ztiq3KF)6m
z!X^J0=*{EX5YV@jC($GJ%hc|@YuO+z--A`6nVK+t*;yeMtNhl}*J{Ls#2_VCps*@p
z!*Ghm;LFrt;9Rh#um5t&CZGM0RvdBAnm|cAdHAo_!ewlMR0<9`M4^T<Pf;C~Wm*2G
z8w<l&SXZWx^A3Mgw(#U2-VD2&%FLI%^yk=Yg`IAyT@UOE6v)*9bvsx=X%jJ}d!pq`
zT*zt9Y0UB69l?*PhuqBytM}5?&$nJITDD1?edi}{3+A(3?PFj3(%R$J&7u5tN8?#p
z?XE?&OERZ6JnMS+x~>*YVYsc5MgA6>RZJ!&K35tjXxEBDPlzbiRke5?CUNq)laP!*
zmvsqyt1*~N`}QU2<HRtXX4unORkC+0us^pL-+~cp=TlwTt~PkTX7UG?NnLmJmv5v5
z!fES~y+wPBlPe>VT<On;QfVn}qEcSl%<j;awz|x9$mdi`t&jE=KmQtxTAG_n#utrc
zBoSSETOuB^@RUjPp$G4^anl<mtPeD;rl2Za%hQZbQwP*m-Or>yn9n9xO$x5TL}spi
z>N*t3)%y3RqKU1}502F8rA~D=ZP&-o4o>DOC{MO9Rm6KZ>&HP_Ji2ceAligs>*8+V
z+uQs@Zv_m5Uq9X!epB<$t_1$6AEw~&n@*mUl&O!pC3&K&?oLx}2fjYS+GKed_kKTD
zGdOten!HXjrZ1YXqyC?>JiG7)8CVTB%wNH@|9Ln6x>cBy7CK3hq6N(imA?F+*TMWf
z=1%%x?xc_4XDHXdzoMANz<<_Pga#;-5y?o#uzz0U-+cq{rvz#2G*qH=`Udj9FY?ci
zwr=JC8*8(MVv@o?Mbv*@OB1`75z}(W*6~sN=SBYMMX(DmVpj7-4%WWhe>Ermen~r$
zaLz!xkwWRbe_rI@CrHfu-^0BBJ@S+_-T&vZMWVrFi)>CX>izx0{`JZU{+RcF4DUz(
tXJz{9vNKe`WoP(2B;oyk-@gpj6`?WRXP(C7*iR7fOH1vpYB|8_{2$1jOnm?V

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_static/images/histogram_example_0.png b/docs/0.10.5/html/_static/images/histogram_example_0.png
new file mode 100644
index 0000000000000000000000000000000000000000..9b8301363678d43fb36f795ec59f86c18897b992
GIT binary patch
literal 14056
zcmeHu1yohr+V%ntq9Sq(z#vpGkTU326hx%EEpk)RY|<734oG-tq+4>+pr{B)m&7K8
zO-Oft@ATYr?>+ZkZ;bo>WBmUZ{~6<ey4IR|t-0oW-Y4Get)w7Bv-8kS48v$-uUt~W
zFmf*pBkS9~4gQ6%vHL6h60*OnWv^;&Z0~f#)(DfoVQ*t$ZEs<A^N6F7t(}>*)p>4S
z?sJ?+OzrJ$?1XuEEdP80x3#Sa56ArhEf{2n%@u7s45Ph){wGV6NHD`Nes$SP7u1}?
zCWx-~YD3YRGbh_+mG(v-WjJzx^Ai*KrGW=JQPRh36NU6uVl`AQb>jW$uW;<8Q~BCr
z%Eh3odhA#{m#w7sJ!VPMT|fDr=q68++;i!!(lzpRub+<X;_oPv(0k5gcl4L4T~%uv
zsk!a8Wpk6inw+l~zEl61nWZL+lMKVk50v)ohTFsHUt{DLcHj~Db_~0IVCNAG^SW`$
z3l2Pr{%;TH@I9`GJ{jSBF<it+!^Y;#z~EqDa4=~?3u~|tahg=q(Fs{y7*7bbDwHJ_
zIyBRIE=w^9+kfh6Y}mG}6=dWh@{>);35Br4))Y<L>ip<fM|Og(on5XSNx`xs>vHc(
zol`LrEtcLzK`R<XE3vLLSn1ndewRYsz#u)?058kHt=Eue+0|0!>1i!<i9?#~QcCWv
z%H1C-E5{!)7&K&fZs25_;^czS2@fAXPI>dDp=JkJ-zptF{b_D)g}Zm})@3S+uUw+o
zwyObs#86GJ>sclpksfmClwACR`O3=5XoAE>k{#!%Q&&{uuPG}l`}wd)On$J(8bo*O
z*ug!d=#O9gmgKRqItsUCaP?u{J@O|SxcUgO!i~i)y1jb`&WT%mIU}ngE9=dmLMB<0
z$tg!iN4Jxjdd_iwj_rQQ933Mgqo+@wCZG2(`ZiZDv1HGNnJQ<LZ5Aqo2}bYOcfwg@
zr;gChBRXl%7<j6Uvs(|+?%Zh$@73}{C5vZjON&~^gkxN6th31O-%ji6yDr4&BRm+)
zt^fVB3ob4NAAOio8XA;Hq{zF&(@Tz6AO7;?%cJkT_c?s5sjg;|g_pMopKDW8U48Y%
z!Sm9jy71<$joz(07WZ{+w*8!@VPTQFn@Kn}Ir(((%tRMK#G1;h?Hf$&Apxr}biiS}
zEy=pKw8!TGKYIT0yHw0d^71c&IJE~D?F1R|6S?jCSy(bgMof9)DZGZ0l9C!9?AWKK
zrWPyE>!#{hMC|fwcr;CaMkj4~+4%*Fgu%gs2Zdc`WAXDN(GpuL^}_i1L<9E)b?ZtB
zFXNTg439Xc9v7Lxk1v{kJ#R9mx4cp*v6&g{AI;SlEZLB(UuZ9zZBpMhJ5=Ma_)VLJ
zQBY}axK>p~#h(yECYk-5QAkCXU}ZV&xVa*2r-Z>)*;Qfk{g)KkPZ)M)7v;~ed(P~a
zge_9>+wtEHTuUkW+1}DJO?+$JF4wx(KwMnB$A_YC+b!*&x=4wPx^R)2c7nr38F!@s
zrrF$mOD~1XE7EgQNMeDqFB#TNdb)lQUgRTR|MIq|r1Yf&?dH_i*A^#^yXOubJ$lqY
zfuc`ZRb4#}riqmK8lBZ=9^(2OmrFTa-E|DkU_3&`o5)xCuzH3@QdNKIY`TN{83bmv
z(*OLvfA~OuIFKKQm2PdWp?50mG|9=r!jh(6w3ytrfB$~dPrn?^>aZAVjCl;(lemWx
z>o%Vm_;5(jChFqFi~INPJyt|acj|Q~G+Oq!&B-rJ5_K<JxNzvqbuWI4FMZKDSOc#W
zyH{&#>mgp#U$U~ZLwUD8`LP}naZHtdaVXB;f3JL`xW2FWY9ha7=T{#=tdC#6$g$O~
zUMyi?;O0bUu3Yb0&yxMt#u9F8b7P^7hm*4fRxh7X_5O*DY?-R6s;deLZKdvOqG62K
zp<#F(Lv14SGmRm9xPY**?!GXDP~+_xPC`e-m;3I+(}nR{b$^MiOiE5xF*Qv*&A|a%
zwW<3H*7+((RNDUA7iFH}>3i|lepMmm!5&O3EYulqOSAJKx{$)3zIdUoprG(_GIH>+
zSBlx>op&6OWSpl@tK7W#x<(5Y8SLibJycjoY<#>lhi1B(gG25&N7oWN!BR3)n)Q;I
zsG*^ur%#^P9DMfViITc{Ah$trVqagMaF-zCZXw3qB)qzME1!gwnOTxTq`3RU-J_!^
zq;lhI7ZK@{kC8X#9z1-Q1k0D%v%AD~soIJ#4*RfhWjHj~xc1NjY|fqn8m8XrnwrDK
zo<7zB+pJ4UG3)88WW~(d+S(z2$qv?rIy%WcC2J!CA9%W7Ri6<T_ji>zd!2c6SLkuU
z{BZHjWv|LDzsc5=;Hy`!s%dK{0XTCUKYkhQnKwTfaQyYC&!0b6yL|a!jTZcXl`tl@
zc2XAh?o~xar*utqb#`Il!YW^v)p;}h;^l_}ELCb()IK{5@oRVV9Gh@8@xJLf|3KJb
zYGOh#ZLjB}T2*yNwXWdW*3sq!u}xb0>(`?I0FKHY61Gotoa|0wFmzMqDO<M<M^AW+
zmG%1*_K<4Z8Tx1p*u5N!O6rXE%+AgpTEF&!t;2$!Q0zdzmoCPKi051LxP}Jzx3_Z^
z*j!KF=lRG|1~zhyZr)a%6@f!S!mv3((aGnI8--2G9XYaMoBn&dS;W8TN!WgU0<+MP
zc}oT`P9DM1oq-3Nv%zIo{5>}3BFE!`4VpgxdVb*(tFI}541Vy1K#s=--swFVMyUGq
zso~YxTP<n20^t&#1{@lxN*6BNoy$^xc|u+V@Hrqb@VIOUzh#K@^8?W<b0pliFPS<8
zwsDRVopHzIf}HIHu=0nxJNp1Nc+Fc*kyZl<=TuZw0zyMmva-$v1_cRQPxX`(wPhG)
z96WD4@`1rntvy{o*M3yx`0?Wfth=%N+Nzf)`OKQw0s{ltd3n_+sCKu+%ZJ+6i!EJQ
z9h-A1Ej2V$0$jNOx7N_CD3NwD(oIFob+M&07uSkv>I6B~(jP=FX#4dFpQF&*Rga-t
zUqAVEW}EnmFf(I1pHnhQJ4YrcDJdO3e)MI@m>H}jC>_I0#XYDG{9^?D1K|8MwEq7C
ze^+h(G9{*$G&F)H^9OgMqSN2skI?SzeX7I669NL7P=vVUl$3sXyqBW9RT(3T+5;O^
z-P}AGh*5lTv8emXQ1Br!d`@yo%3&fm8`~uy9CbrqGH)?o-GynArY11VhP5mIPD~Bn
z$}0U`MTNSaUh0&`QW1?6X>c&+)2B~CK2%uy!}DI44GkdWaakr2M+^I&htv%A<7tG`
z!ooUBy`E)@Q@vB(&R7E*lugsuot-)e(kmX*Y64;(4r@=*<l)lIyJlUskr%{cm=4E}
zv$2gtZmpY?%rWhLoSdAjM~|7x7E|uR<O4!NlHJ!9NAJ^$o7zVZt%8YGPU$Dv*b)^Z
z#qsboeAYe1!gJYKS-eh@dIS=s*CQY)SjZ7BE_p!d<{&QJmRwvru9N@B5y|^hv~B$r
zkH<^ISXrfD8`KRg&kRmJ*@e*z>^g$+zRTj=7+@%CfJ&jJq!cwtEHa#PZ)s^Ug^g7>
zRk}7-LNv~<GS21`IF0ch1YU5+4{nZ*Lt|uu(5nHp8<;4!>`odQbs)cNW=*lOV@+|-
zva+(+Wa~xeo=+CfDJ+aMN+Ci;%~Kq8tI}t*QHEuq(*r9ni^0exS?PHUIAsqB*~Zo^
z<1$L(BiFy4^p9<7QdwE`*zgVk7Gplvl60DfNAvM+CSLmyC19?}z_cQs(qJ!u)=RQ-
z))bC~-MdE~yZ|r6y#L)pu7K@Wh%e7w;03=^ega+jw{I37-oHNuG<IfYrW4>SW{!bN
zC)S_@&n_sa)!5h=a`x6EZvDcq>4I>fsTaUbvU*BDL`3@M&(|h;N_6jUqXF#kSBMbR
zo?3?qFl|fKuKxVF<t_!){8&ncd26ydezxi)5h@>sy|9rZ(|dFMZoEQxGC)uY+;MeP
zm2#2eM2<yA7M{dFPj9|F-M`xC>k<3v)qxkxVmkXyDin`tOTopwhS}78z{JryeE<G^
z##BqYrnk5E>C>l^okAZx_=%2zL4>;3B+@;e<}g36v!5DVldqV~LtzJXrnRNz)Ujjl
zj6{zeyU60Xey5~seMCm02`b7$_>`MWkkP2&)@m?<Zh=+$Hx>QARP@`V&)ph@G1@CR
zdday@oodLg7f+Gc7**^naV7NN$GOrB%SwA#WXq0maL7eRN7o$}7Vf<74YaY-$2gK~
z7d7?E$jC^zJ-v?{r%&%ccu;$aAJNYWT8VG#+OcF5+Yo<111_|vDi-J|Z#{kfd{<mT
zf=GKxa`GwkqS~W7OfU)x3O;zlLnM+&r8y247#Yb^L^PP<H*}l19PUpdkxnM{r%ZNP
z@IQR;AfFRGw4>Dud;a{qJ@EfiAZIEb(KNrl{7g+>KMf{bE_qFA6j9`Rl+?V=)7OzG
zn(nU%5p&J^_~I~$^B#;~dJt&Yz7y9Pl2j9TP3jmyyK(UIYaAA^viCUqHB=&CbG})z
zrm|8-QDP$p2@-{HVYBZ1JF64cp5wsNV1x&{JEPd*;^Nr3xYByMN>`*tH#aw7VW=4!
z#}`47z%cpu)?^faS&aXy`tyHL%Ko1kN|F`ez`l~nDG@MjCoQd}t!>tBW>M$XiGM(q
z?;@&<5cGXpnr<LKjb&FJI}eYdp~p&`v@dho*x1-M0{ai??<+)qe~jo0R&xW-c*c5M
zr&<SnCAein1gs-~FU>c}@vxsfnegE}R1gHE=@*QQ;@FY^t!V1l|Hy20cn@Q|bfA`^
zykU*<xv$#Ou!!qztSwpF7=Y3|cI=qmNBE&;U|=xi_PFBc<BER0jO1in#p{?U_Wd#y
zRaGcs;%RyXO=(M^fq`*IneJs`nrK_2^0G#lwl6j=&J65=&Mc#6g+PWzx<7roqOPWv
z{~UgtI(IIsX9b8@a%!qQccm|jldct(NQ<EPhIUX>Q&SG`V9TCjZDNsA*%-fLkv@oc
z?prP{E?Hd@3w4AJi=8`m+|kCOj?Wx~dA<aNQX^F>n$YW^3*_0!!-ofm(%ZLh{bOZc
zo=B1l=B}=;_Ggn1<(Frbe%`RYGRNomO$%;b1;DJy|F~Rn9t$=-B}lOyd!beAoCyVz
z57-juYoTEE6b&I#Ku{3e>F0uoUw(-~uvz7Q9El)}41+W%Qv9nQ_F&U&b@0@`Bl$hy
zTgc^rGNpTD55~*#Zz<EiaD~5-tpDnO6^B<xN5@ldZ)Knm;NF0J;v-Fp6me1jkq%16
zzt*@JN?kfYZ9WHblMeMw`G{!eng=#DHwV6a83TfyODE@wtgNiC^K=x@hw;y4ZYx=n
z1tey0TyP6xt*9dUFp0$LS`~a?x&uQrY$xn5r=+Ggh0+!x>XO9<i%$mRS$mdI4KJ=O
zRd_C#OE><!NnPTbH%eq=Wd5i|I9&q3Em!AV<Lavk=1IxV*Mgd0*qfA*v3K7-SQlzj
z{8PnqKHnURV1d!?*%Q6Fu{Pde5~(gPFMr>6&_+;AU41AEKE1D#uLz3}ch}+L<NGed
zd_ji6@+j$YTkJ5=DZ%HOo15p{sMuB;A*MS=s&Dt)TJjWF76kbOb>4v+YGv&Un2GCb
z8E(}1d3hQ@$aJ!9dq3LElnh#NBq<?61@z(luG_b7CuU_e6);M8bpKv1Jhz?U<h<tL
z;gOt}Xmc<lF;NN5D(Sj(`7%3@75MkMOmX+s#NuMTU>-w_>({S`TUzjkTJY=I4I&FK
z<DZlX;9Bj#bkucq#~DTJM}B$z`t=x>Cp@qX3!#`Y3@W*%fy-r2sC*86<z!-uUv4F*
zr#pIZI0I>^{`ASF&huMlrTy^dgJ`V-+h_vgZsA*Y{b@eF*56;7-ZtZR4|WJUj0FsT
z{xxQH*7n24kLFNg>UbW(I<IbD8c#pS#FPdjn0<VH5ZMET_M@-On&U^kPe$0tFv8vN
zzT=`)@`rs27idgbe%B80(txZEr#}YnAh~Zww;ay<u{U{#zP!t-NPcT-YoknfADAu)
z@YmXyXt=1sHjHw5q%kHL7Vr7D{Wc@u5-`(H0<;GWZq<oQ32K7D5Q_i@5BAjT+#KD$
zeS;58;Y!mTn_wgOvw`aY)il5Rz|TKN!K$l`l<1{yL?iEA$Ki0tWdT*%;Uj^D4G&#G
z*U8pJ-V*_pC;$#HRxYLIK`jVs5-<n(SLtB~i*I&h88Op<P2&~R&*^1Hs%t%8FB+4d
zF9;Y>RasdXT7ZVX7)E&pc0oZw0e-pvamlZUMR9$0VJe5k&T;hU+fZ%zhd#18^5u~j
zU-J)7>3TlHg1~5PN-5n&n~rm7XI+{qS&G=Un=#SL3k&w9rste?Mg=-QG8^-lZ<GPs
zB9ILbuHI;`;da<crXpdKHZ?(9J)hw(80}2S>VEj0bG+`nSB&%v^ZB%%+E4*kHgLi)
zouF*YU}e3R4pkvg!#M!o$Z`~BKnI^>W88ZAZ+do=t<+lE_rIg`rGz_^1X^l>d9Dw#
z%!!o4X_lYVsjq{3dhgynQ9pPg7;~Q+^)i*j^4%JmAfu$z)N2S&zjb7bG4Fz-Tou}w
zl$4ad)%3!GdWJ#C{O9xart>3>%(TBxWJbwi2+Vmo&FIEbZ#yE_U=;zuH>(Zd1ASy=
z;{jS5+$D9BVi?@d&yVZXek`PJE0p5HhY!LweO_!yhGiayM4jJMN|BYncnuT{C~gz0
zuc!(s=G+S*05dQ&!p32DbL{~O`dKy>A?l(+E501HbLUR`8ZN>Wf3)_LW2DW7ssjPa
zUJ}lcd$m6Y|Mb?!=LN$PfQ8|eDp-D_U>W85GsE?Zr25EqKqUv*W8p$}(x4u|?F;l+
zsWHT#XT@@aGcz**aht@Jx?{lWZs@uL@_%kuAF#CrDA`G%e(DaxMJd4LOMfEA<oDCj
z#f612!t+%1+nA0v#UUM$XWg5ARO(Sn(ThKkTd-kVPIF^YLe$s6@gOHBAG@}F`*tPx
zvy2p(Bo53S9suc@?*$5Io*Fd+cMEXjc08e~y1J>mz)p;A4_4|yz3ke%76I--e7(e0
zx67dSzLUJSKJFsAFA)uPP+^vD-`uFM2Ts4uy8hEACEyQsLLTe+RLx{({NNencuHcY
zJh#?Rp|Q8mVH<_=Hr88K23l}3*9&Xt3=9Z31qA<XmnDL`P^x`oXTq~FX&D*Z(j*ZN
zOM8B%l10uRGJ=@*?=NLMq`<6;z@(|^C}NfINsNuX1fo=pU_}h@^NR*4F~Z}y@{G-_
z@%7~~a7a)D0hQbgrl_;nC3|y`Q09VTz@m0<!5ZfP+1Qn5se0wg6I8T_;5z!pf)Tzj
z-mWMlBvd$_UR2CThlyH)x5CZfsGz7A%!UXzNN-Tmr@6QsdOTKUjW)(K%bH+PTGI7J
zkmC%uY*51RcpGLtW0+&=2TEwn_H7f#MJcI;?8uF4us@?P@-t0fgBodT+$WHRhYM5d
z!-Q0!>{;}yLA+23)79$$!|)5<fRzt<#o~1~*cv%(y|7B~JX^L8%gV}tkPp564Tws?
z_ih9e^ibF|XiUD<2|jc-cj*$*Dblz;A`NDswE$e(XGperu2*_GA3X$T=-k^v)(<Eh
zIUqqrfXrc<Z?={PeFMY8(?UWHiGgY{@Yw-pI?bR`dE-Vjv+K9BMz?PZmQ4(ULl7Iw
zW@KW*0jjI!EMQ3=_ohEG2FyW@2)iz(f{(^olhu-KqUbQv@V09O2I@23+$wE~mZBow
zsbuP@{tjf*3yyFEbEf~1`Tnn%%-`Gf|H&1DdE~F)c>(gFBC(5$8;Cf5Gi`DN|2Dwa
z*Vq5$OClXYt?$D2Pvqy<Uz4C3;2NSX046qp;yO&6gxa&Zkl~qDG+9`~bQUgX_z4si
zyzGXSBvn3_+1udIYQm~AZ%+>gpQ5dgA6N)}B>FM3GKh{{mXl9l3cXI4I+7Iwi+cL(
zS>UTz%M0PFtEbPNRfdW|W3>cOcuG`M58^1Zra|zG)z#Gtev^Z>++GQaks46izVmR_
zKk;yW7PslUC_X8ft>%#T2un@neE8^*aPY{;i185M>6yUFGD^42br-Sq=?eT%pyqyh
z`nInV=gyr2_jgnef{UJe>~LG1+*`vv7qqlqt*@`EDJ%D%Gf-BJ27gF+PGVzTl}QY*
z22{Y#r?sukgYILmAr&oi3!!XdLbwaO*ba-l;g2wbXAH9Iv2EM7nU6F?SJ&4&p|ejz
z!9?cmdQXWf4vd%6?Cf{Ad$%^1_`vl9V3=;>hJr$kTRbQ!3(m6U)vHej1_pQ`S3}Gb
zQibm%@~_MnNGxIjXp1a75lpLuBhr~436=(gPWEFh?6tq1mq8}{ix;f`uHlBeK)eQK
z@JI;5O0;1G?;;>JCx;hAZL2HFF=D!gVRv$%q$T}cvn~AkF**6K6IG0N02Q?SJA*9+
zb|x#!%chWjXcFV2q9mmr?eeQNR`q2T0}HroK!~hQ2Q1X6J^x;=((+E0ENXPUgbBl}
zZbOA?1Zz4(R02o`;xr&^j?22Q&NouAxJ7}J1n(dz?k0ITA3TuPVTdf*&z@~G;$&x+
z1*6>B=I~#noq3Y8<TIE+<l2`o#i&zLQ>y|Hi_U7nj<i7}@$#ih`Oo1;Vsi3T1|9=7
z8ylN&OAy6q%`0C1sXIL<M-8%!#t+X7okgyu&@*-`uz0$avmXBi5^IAXKy>gpP%IMo
zIwq#%)%JXTSmkYS_Nh(3YY#7da28QWQTt1Dz>ez4C28s8*RS6hrM`ZB5ghJ?h>e$Q
zp|vMMYlpqzc6WL|Rj#xuDQ2ROFDH0G`3D9HY*7CrsNvg$t`e}&#=g62z-*!*o`OXP
zhWR-j@YMnE1Ls@22;kw{)<HDsnO-lxb`4Ow1?92G<v|$$Dvj3fsl4#t4Ov8O`rh8>
z0~bbC1&=S>M$4QkWH)@pAGBqdk&=I*(^NW?8x9cqh=ahpKqfvn8AactcStkuff^TJ
zq)pRf(3|0g;!D@XZ)R^%kqG<W2>$+`^x^*@VB1V`WE8&!@Rfru10@hK0k2+t8F53~
z-}j$8n&6<yhY2d{=2@VOAJ!Qke%>@(@Xov6rOzJ}>ngA?U|t~L6@WsgIBkw+l%;R2
zW^AcIQjTAmOoN_-WRQj+116t<_vIzcTZ9>ux@iMfyL#=~`l^DvI{<qkXtWc=O31aM
zA=gqtzPgQ1ML!A!YXFM8aP8m7o&Uzv1l*D@^!-!Ig(JIPFQiDnTPVcTZg|xA*;Rs9
zr0b**aw$MggR)n;KlfK?KKV8PPP2UMX*YG`@6~8b*XHI@Svv|}mwH?kAv3bDPp>t8
zS!;~5(u3;;`PO!UFpUDeJ2p${!(lk`rfUMqQc>@Q0wiF~fT-Zmws%7U1VI28qye!%
zv?%>g$cMy&>wF5FRsZ?*xq4h(n2=89&4)K{-VBSRD~4FpVXju7h;=UvcBl`Ms2lHo
z3Kw>`YB&5@8SJK;w{GR$8I&e5NL`ha8ya6*sQUQf8N)aP|M<SURC<#q&!1OCvZQ+t
z;x9CRi|lu6RvTkvhzoDvV7|1$7X2CcgXptA_sQs8c67{xTS4^%e2$4PnK5rcp%u)|
z%-qpFRP>P@bEZJXQ>J<AY4CG7;M0nnrrM$|+z$u{h<$ldkw0G^XeHX^HJP_6MPD7j
z(tTj`7g|5`#<vl`pI5$pJJxPxSkZ{wi+})x44DCU?qt?X1+4uQ6L12tMZ}M%J@xTv
zgPM^6E}X!s;O@s#zzDdhfhdC2%G)<T+Kl9|-8LRzXf9-H)?<+D0{4hVmKUf?O;7@R
z_wJpq_uR~WTM3*WCE|A8K0c1)kWvW1=YNMs^rpUi(Ry*<>_zL6g&^<%VuKAm3f@}&
zVPU<;u6@m;zCa<VyN{m!goK2|ciT?$H``8jX%DDs2(FM1O;eZIVF5h_wbeVZ_InU6
zHF%YmOVTh2tHGwJ%Y=XkjPM#Og21Ra@?)H)41oRQs$IkKjREw$q+?;eA(Xyz=guL1
zi&ylJWsHrP%R@Th&kKR4!)ViGFl_u|O(I;Rp;sgUb&`Pg9z|_I@G9m(MdMMvN{Qaz
z*?+OBLfK8~BU*vMp}r&NcQFO>a+;G<t+&*@B$pafqJlxvkAaRbGc#N0(NI$A%PO_$
zzsRMR-$0Rs^{pbO@jvwC{yR4NFZx*i6Jq>-+feywm@%l06DOpBnLYLOZ3k=dQ25qx
zsCBZ_R1Zk=CNDAyWZyYmh6sKDI&IP*(AWDBXCDtY)Y3`>-DX}Lz>b1#p!$JfVX5HN
ze^1b9pq0nc4{8TWQ5?q9&<cZN&;jBDA$fvPO;D@I79{U2B}+XizyS0RhbnfN<Guaq
z=Mpg15&T<KK);Ue*WPZC{6BGeKfiv)IdC?hWdyX`7%@IE@yh7vDEBR}QFV$OEx#L<
zUu^`##=+6>hrX-i6GNycfo=42=Ka;+!J9Ah-nJ)K`^fsAR&;xfd9v^%n1wH&w}?od
zRgpE^(6_4YUE{EWXmGOf>$0&AM@9yiBc#ZaA(KEu{GDm|A6NR`(KwIloBwU_vI?I|
zY%UMBfrK9;o;Y%(96@l67JwfeGjmVh;B8}L9e*wOFWn48y<nvPJ$(>=ksdT4fgdS$
zoRzg=Xe$})G30ExkL&jO`_{MC$AjSt{U17D(Q970az#$M<mjusGJlt~&zt;pS)8aN
z0`;9q77m+D&eXo_92@u9Fc<3_5SNXR_y`v5qlXWx>gyGOdU6lK56H|?okBrv;6iw0
z`9tOTLu-w`1%anLTnzlqa*WcBFMcB9c8_>=84WcJjb+=d+`Pfilew+!Olz(9oDc5)
zqE63oi@}oQKZx0&3(csM4azH@APZJ}7n*zWs=2Jm68=4$0guz{{gXW*5}u`~+b)np
z6C|EK@`XhPFt08fH;M-Of;dd!)tL(k3gJy*LUs_5qywN@cIPYa*|X>O(APcd?2r2~
zoZcq|g8(o#HV!9fcb;xu)I4V$*<o033aeDnJS9V9F=fH@*&3URN0}RE%E5Nz3rMC^
z{4jnq+ebP5N3p@X8XBtkcMV^<q6s4U<Khha_kXIaOsG>aFqr(cycQ7;k;!~1FcmeO
zo%3PigqMkRyh0s)z~%u3f7!O{KokTA&POcg^y@c4M76ni+y?_NAb$mN?^KA6g?a9o
z6S@{Ai>CMs<#FyFx-sJ$B40v8m%8ns$TmXlDq)K2K*=M^)^g=)8=*7~8XRd3oRI`h
zJ?ofij9Ll7HEb<$b)uxA8t>}e%p0x^ZBOl8TYQwVv1X|qgq-Tc#8YsT10-~$+pKq&
zU5+=o7Nn#X?r&ok5h;?L^JNrz4OPLsB~clK5Bk^zWV1HM%X5XbxTiZrW(a~Gi0ZhU
zv$Hexar=xkT>=>6>c}`UFo-B!pOr%)HYhO~E7czXip!amg@TBUz|z8d>tzyUl|D>!
zN&~~=ow+Fyz}A2?;b6(E_AHeqtWA{}t}RVvIC<ba(44r-=g~v!R!a>}8Jab`$kps{
zF;@-LULh&z)#JXTzcI+Nh0>{3a8;~ja6zO<PXp)}Z9~QzP`Hs5Qe-<cb%<=t_<GJe
z=HP5|J<B|SvyDPa?tNQZ+Z^{bN1}bRJhC!?ymlY{TIg|MdE1F9oor+I7(3&-Ff&jn
z^+p!p|7$=a0QCu+kbDOTdOEcHQz7lfv#H97fa86<s<Y4mci+xqxq?LpvLuIt&wPCe
z9*fzLx%Q$2T=iz@Vkb@m7zXL0izE>ARQRwqS6y8^JZ60H3EgLqxadL)QVuAw)IF@y
zTJR3$9Ak}L2E0$EPPvgpdVKmFVccA1m#=$*Gg;RAsM@4x#lFT}s$Ht}ECUcqgRl^F
z|JwKfywm~1Xxmz^-^yRe?0SE&90z<P77WDTOmM9LRb1HpNbf&>gz)|<EID8C^=T>V
z$^xtJs0)RKUoe47tX{suP__`z*Q#Ve<Fbs50CfCHYpSZoz$Q;FEG&E*sf3fOx5l-!
zwBN@40+}tWq&63^Tn&^*A)~@$-5Et;(|vD|xl+uO(gA!cATlyT>hW$_f5f)Oq16So
ziWP@_cK3m`2%<T-{U*#3ByvO#3%eSgyE*&-O?4^Dh5#1P(1@#F?5qqirNPxUTTl@J
zki<cx0PTZZ`h{vB7h4u5y7-_5SyvXF$j!|S5qB?qM9b1MlEJ|{FG>ii7c*#V*_ikf
z6NDv|oRy_gwzV-82r(t_$P`$L%-7sD7AJ`u(Ao*s;V4wtHfWP+Az1g~NqK=J0-yO9
zE{jhKHLOkbq`_q4MV|hap+OD`>EOcGmx|`l`La61<Cz594n+ncJr1FKxF9HKEk#b&
z!1R)!NfJCF>xBj>S{IR!E<GU+mw_+Fx5;>w!S-(fbDD&|c=4V%7)(H?lsq@a4NG2q
z>x_$!HwX5$+IOF}nCSy+NMRYk_mG7)oQf=BV5ZujMR239tQuhmknfPhsibITXn=Q=
zXGQG1zT<&YPGH%6C{FD;X3YV?!R^VVXB_xos=#w=h7J%8S(FXHEGC47g=y$xz0QL)
zC7Y|`s5F9~Oj_UN3D2gx;NkMj&zel;k9LFQ>^DQHM>L1yVTZax!>_EITyvqrcn;8o
zl!#XI5f`85&n>E+SUGU5t;s{e2_I#Xg7<+Akk%L(T10|@yrP)cz-{IO%=SYx+jY2E
zX;tWn0bOAZ{kXGBOTl0O!_y>7toPHxUp2w_Bd{6-CnhEeZ#B0hD6&A0AfDaNRTPRl
zyt*J}x9JNAJ0V?oWBmD5G#G)_GIpUHl{|`!UC%k8gYwT|IgLkKVj5tfvYJ`|;TEsA
zkv1r-W*8*LWzN`Ps%Im)D`%Lrf?r$;{f(aYXv{ITCxGVN{WzwlOJ{Db>rlZUpG!=^
z+GJ5Kuy=R|g2Avv#pWBNU|c_FnL+moiDi4irTS>8$H+5AHw#b9FuUN8#)VSSw6q14
zV@u=U;X}WtzK<m+o6b`AqBUPjtBtGP!C?}fJ&3gBn$$DP`R87LOO9Ia+h7BN<(#UW
zZLEzR)ov4-g^WS0*WuS^D$@WCwIK5jf;&Ls(R$(?Us0R8LB36NuH%Hx_)A6cOj!0f
z2r+AC7Z!3MdJ#kCxIjFb3ejOoR8%>n{C3>Xm-EoB4!V3SAabfH*zAAIq657zZIE-g
zj>ESBG@t{9?&qJcPY{dR4;R_Ur<<S^gR|_+sal1$nlzwf<8P^0av%~*g)QfLiy^%O
z?l~1oi;j#BW2X4(2rI~U?I19q7r;oZ%}UK%SkIG|cahJdwCvX{2aEd6`o>0DF9aHG
z(7JgOtxpXojH&2*3?e$&v9YmQ5DH{MFNq10knMZWiiFfRZ_ePLCieI^%BL?*ErHHA
zA==h(wRKsSS-L||h@_-7ykTOY^UP~qR4Sc^_MYt31JLKJSslB4{^t89!d(EGI`H+0
zHcJB0xC9`bxt_?_URV#=Q1JpZ2Xz4v&k_a;{RN{?6Utni-Wfh#T~zn4nd86temiN?
zaOUG-Yb_Kw&>c8nib{)4nMaAqeZz$Dj$UvQb)o+w8>m{^lPBB9OV=i|0b?dsrrSsT
zWSBD%5ObV4(||%Z2Z%RBY9ftt)6gEN#$|DtQd2f$agL+dJ`G%8U0{l1#3DlO?W(=j
zGUj=Jow&{%GY#-4Q=_7ejOTS(Wk=x0*lYT2oJBhM3OdVr0R`HCRG`nUG0xUTjqMK8
zeHRF%>C99O#~qeHt9YOJMSl0*P*dPP{IURuEXmL_&<g^MkR@-sZr!|@W7>GkcZkgE
z@WC?5UFF+RL6;XGew{dg*+`)<=prz~VkR=o>HxGsM%6C2mu<#@4-H;Dh|O!Lr7RFf
z^qk|m4k0yy`K^`6tt9A=Ndk3>CxttO5h8&U(2C9fg48+iq=j!CswgK-aN2?C{Dkgj
zh9t424T}^y03QRkT;|exBMIPcX|oAI-$Dh;rV@+$ydTgpakNi`?S`MTnJs?nScUIb
zM8h;_Qtf7JfCLG}-%0vpUi2RztM7acUsyok44tURTY$}zf_f3*?JU%7RVjMB26=VW
zKf--cd!wJ$vjOU=J;Ykc;QB&$riPwgSZqe!5pqf0w;+=(KZZN?u)_nA3W-+ju&7^$
zgoNNpw2XocE4>0l`<D>P+RuKKm2JA^D;5tG_%!sZf%~d<<Hn7eM^qRs*tTahfE3jf
z!nT1HrQ@>5>jp$XmaO~c3aJnPX<^)OtMl+#vhs;jUU2`wV2e_%yYl3LctBn5bs!qT
zs|fJ-e+?T62O;8j9)A<kU8LkKrJ*$+)i;#mA-@NxsSGp<Y!yx-`wDfdLxDI6UyMRu
zi-FYEN?{k)bAjxq2IFfXyt3ecw}8<4N+Kno#t8U&(WnDa6AU#lQtanPlo5?hFPdzs
q4&)$)9l(k!DhqA>P`-1Ze~Y5CN%cTga2ay5Fxkrrm(nj@zxO}pm|Nrk

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_static/images/histogram_example_1.png b/docs/0.10.5/html/_static/images/histogram_example_1.png
new file mode 100644
index 0000000000000000000000000000000000000000..062dfdbb9829f3032b4c1afd55fefc61a08b5d56
GIT binary patch
literal 11387
zcmeHt2T)Yomi7Tf^dfK#7?7Y>P=bJgoUf<|2uOwoX%&erL7)N2MofUBfRd36O_IhY
z2NMF4p~*p!*b<xA(Dc8K@4k1d=AU`>rshu7)YMqmXrFWTIcM*+zV&_I+7B=4sI&jV
z{R@I1>>B6K=pzVoAc8OrZQTOjNVW8RhhK8;XHDG=oNe4auee$x+E?6Nt~<M5x4(MO
z!`ju&-r4DtxTN^WV+ZZr-Cf+|B_tgGae}zBtF46Soo}Wv$TpYrW^M?=c?JE;l&+Fy
zk07Gs8fSht^op74_wh1ZjIEh#`p%)r>~wJNlg&>{pB{X9Jx@_}+uiy%Z`O#voqb@Y
zYW<MyT6UPonQNVwMVTB73i`SW_q}*T+r9nXd6#e@sY7h0s(QzFpJ)DUGqXUH+#0KH
zDzDq2NR3Zlm;IHR6y+<aYq3-%m4GMwjbC2nn?+b}gXj7*>*~n_zwOL7tHQ7MzasFz
z?P|zo1UbH)=~o1)I{sfi5O^e=Kxl8%Rmq;6bt%Mk>g4C=_Y~qHOY4~fj~qgnRd*@Q
ze?DCI`ExVTzK!V6A#&5l2lwvoHrmh~&b~|Bh-6g5n`8C;XOY08U6lcqSFNlTv#@kc
zUFFqefeG3orDQD5r#(e$?^G|Tsey}Gb=ZaFSA^T1Le8FFS|TTfDo@(6ZQa`Z<<+V1
z`1o9dG@asndBjeU`5+?MdTSGFd#R^0%a$$jg*6{OoDX~S=uzKAE<}<SUY>j6M|Z(5
zY;0K_mTexRUtYZx--blpL$)Hp?o&Ndt7~hW4xC%Jx?E>PbXAeff#)1Lb7DnAMRA4L
zO8@?RUPO@z9Ypxpu?x0MaoI4)9zMPSvLKUc0Zenkv)4&Ui`};I8D(XC8T8>$6_0-m
zM61>He?2+rkZoDs(_(C9mcf2NT1Z;jc*l+%P6Q5wyQ!w11qn=h5FFg08$dHiNlncp
z5H5HQ`jMm^dy=0Y)ph7E!B2~GBHY1PW~RU+MgH`XJz|(-6Re-npf5Fe3p;mmidLk^
zp+nXEDNL$KJASVEd)t3y@t@TA?;!R&b-p@f+n%V#+I?NxGjbDxG}|1jZyl+R<l^HK
zm&i@UHc`6}uhB32{XHPe_D!{C7?e;O6`~aztu|c_;@}nNmz}GsQk5}5FZHOaujksa
z<LhTN?U8(@yivzNI0Vas9M^YK*;1no|3dCVpuj-)VfK;B`_O}dSGETJXAfBHL<R#G
ze%euz8ehMDebas2o03g(l0PCLp}Rcble<o*<CptAal@a2bA(u6aG9@Rh^d}lVtTre
zwT+E*Cgb6*qmnnioeAca(mZ?iY?Mksg-t_LO00rs$!i`sU$Ux(OJTo?f7z!{{=xAL
zGc&Wvf%4J_39PurWM^)?^2*SrY}5SH+qP}X5kk{%(WTxNp;D<_{QNWR5l^2ctgrie
zzJNKoygSl@>3U{Z*v@-*@5&a!M|xSAMQ6?>gHn$vhu{nX!O+?|W%wri$?7yqDk?G^
zYl?R+7-q`RH!~9s2ng_uWRl#E+Z%UGR@T(B9}mf9_tc#EvRiUm8m=}>(9yr|+qbKW
zQ@y${rX$sAlbB6`M#RXpNMNef)Vn*7rIzZUe5=0)sggEVH8)=jkBE>jgb$J9$MYJq
z0>WNIMP<HtvAc#kKks_>%o(CXY?%AT`prwF9!B|$u+*x&&&DczLn5}EBa~T%EG~LM
zT1T-D79vHG8y<?V{zJpB%>Q9yyoxTeUQtveJJpr{KEn~7<<aBES)NZSD=W<hIks+p
z+|KK{c%ygjR;q}KkA9fDPh_cS>8udpQo>^K_aje5O>)xH)6c_7ggN;(XzA%agUbc`
zi@as5K5bWL)bIybVEtE9;=Ct?d6m2kE9q0ti!@3uuKG4hju0!%Kf8+tvi|+KuB6xO
zWp+MA)36s|VXv$2u;S*veGE%3ux*lmmmq+j8MxF-a)yU1-Oa_70zr<O>M8VP*^VHp
z2V82+s}8G&yy&P3!c%DBq0bJhPgdR9lq0JM!$$=UGD9W#%aHW{hWZQ2(Vvqj&KCIU
z)vHHOo*1gC20~dW3}9?*S<AI3*7u_==s}|G-mxQ*g>BC`6qy_mG+q`VUi#ixKi1dR
ze-ROp`tIFnh&|y$hkm!Vw#F|FmfbAaBW{sSBuetixt@Un)D|ITzVH~k{*G$|u1;VQ
z-xj!k|NbZ?pSNLQVeORx0dQT0-`WzU(%&zZzC6{Nwl-6VRaxt9+P!~&M!r>z!(@Ag
zOt}MqUSI_7213Zp)c^hWTi=F<86^f15+7@7L{(HO8&ABy&u#$UAD;DF9f|D8w+cFP
z;bn8HE8Np%m$F!Y^(uAD=+dR^r%!)PTY?Wr24dq0^fqYH(#O?R!mQ0`)1@;DE5o5O
zD|=i3TcD8fHr3bHn`7kR=Fj?E_qteG##wrOWuY&TDvhpONgVK{YC8^AT+)gZ&-T3F
z?Ok&F_HCZf2M-=d6ZRp<5V_@>Xkc}9H56fEd;1InANV+}rbgi@uxt5EJ6`!xflWi0
z06UNDMJ_Hb?}Zli#V@CtKG$b?h-+(W8)<4jLeWj`5O9!${TN@C=B6fHwfo!koSbr!
z8k|U?GBPGNZrs3!6nif^WIr97niA7^b1bXz#Ky+PFWa}fd!zF`0oPp&Ll^7i%k)IG
zAdw?S&H-i^o;`aH=3hYLl+Blmkk;XGapD?LlJ;RIPo6}P;Nz!HlPhz>7^2;?Bid2l
zx88=a?08}A3{o$&6uXTPz2>flzjz@eFOQLvlM6YZ2B;I8v!b;2qW~=_OWn43+JZfP
zy3g$S5$)E1jj@2gR|i3+i(z5UpNGf9Sd6_bD^nc1Lt7CN6VtZ0x6hGB5rg~T{~^X-
z!#e*=^Zzn|{d1^)A2G0HUV3h0jYg)XFM&aH0G~w5nbFUb=Tpw<ss$843k!j83_{Cc
zq%K_Z{P||cZeXpE7<yJ_rlif6efWviv*sixBM8XF4ijvKRZYmBMd}N%V<4jtbpjf7
zb#<*vQ@w@$bZ;?>qC8{9BBhh^?jBnY$vNKF&reX}*|TSV(3h5Pq(B(n@Z!aUm6ess
z>Gpc9xw*NzrlwrCFA6hdz#C*6Viimd9Xf=P=!JJ|66qx+B?H5T#>SaIOD8}K1f~M+
zC<bhlWoBh@?cDjTop0yP*N{E(HNGg;l;E@AK%rF)hZu%<zCKc-Ghn?Ypxq~CVZoh+
zg+-1JIIEZ#F9?bAPQ`3pPNXb=3rx9p;r;FVUke+gj=!>v(=#?UF1OM*Fn}o#tQiKb
z=xBNZuE<XM7|*nwgCl}OB57)A#r9}vX>oCLW5!<Q<sDz8(dv48dt1o4SQVI-^vq06
ze}DhNPb+I{^@D?zDI+Ld%>8JB(AU=`uYLY?WOP)%=Z8nBtD76w-n}McFHxke3FVLM
zck(3qLC&H?|I|9XaTVTTevb<P5Sd_>q#Z3i@%h=|s8hBfA|fI@o-9o-PpD;NWQ1(E
zjecpl$F^6}c|Z}pyr;si6h%jv&(6Q2{VMlM^cDMx-7sZd`I?%VyLoxDV`6w}f)9QC
z_;G%oh9f_D@SwRdR-y26H8VT6<ar=a9c4GE3kz+!rGGHWe}fri7)QW8+IUi^1>Oq~
zLvm*&%0&JNCss#(v?K*pY|tneUUAE^bUr|Tdp#7>ltK`%`R^J=CMKPe7eQvUrRkFX
zIHEjLMhzLRg-7Gsz5BbDB~*{TK8v&G&Xpue!llG5@wLy7YK2{wj^4RzSFALRMiV)C
zQXkgeQw^joV#luRQF<w?z1+u>KA{_+@8XgdtpzKhigR7x-3KhX&kU`nJrCNPnZ`y(
zMF7pA6lNBmG_|7B79BBAKoCsOVMN^Q&6y?@M%jH1-b`3@RBe!fm<Jkv+ZqV$x~J$y
zQmStJbR!D)&2>D3n@o+2Qm(weUtF*Uz9BNHBQa9A2x;emAB`CFlr22YOrXv#WtrrX
zr~6B#?3xckAj#t)zwD^r;EW+}n3LI|-_NS6YlU&}EB|PJc;GaA@5CE|6xlZMd6Lnb
zkp70Jio>@>;j%eM2)9&bHOYI>XQo_Q7%DZAUB3gtDKkuldz~wdfRw^8gbyD+yv<=l
z4}REzm=H|$Y=a=<bWCzA><ezg*UcqPwEa~<{QfTonSe4D-RqM?M#siP4<1YqbAVd{
z(=20IZ(^)B=^Oy1)m>n_SbH?yuI2SvN6WuY))vS&$JzOL{di@+g>`BZ?nhVtpGTd#
z@~UI;aI1vi72nFlgalRf5T0iO?E8+Z-eKi*qP|9-!kdRF52Pfg(!$gE`T6#ID|L<5
zkB|3CIkXE|+uCLU%1vkPfD^^P7qP88JQ~*wY<O`ZEq)U4r^My!ZS++^63}}q>Cp-}
za1jF8<Z_VF@89i~r~6R}WM#$JpohPDRr^!bk$$b=QZ4Nl$6^ODyntQSq~2bl5R6ac
zQ%Bb4LIVglsiPC1+(UxXbmPglS=c1K7wky8(b(y9+gvrcJ}M(3Az^auTC(@jkBm4a
zpG=?SY51nIUZV0xBR5Rk(CLsS<lLDv>3Mk<OFd`EElKKv8W3X!zP@F>k3eb#Qf`)m
z_?sN8tOOluUC@n!vC`a!UEbdw9(5n|TehzXWTFi+=vdEARI}}!!xX!w*npz1s;a^q
zxO4mVLYGyj@ZrPn*;C+t2~u8kI63}P@BtI&AOQKygoFh4zs3H%h?rP5m4bBuFh)_q
z(R3#ah<R=Tn2%qX{pzj2qv&<<%9SgBKhSx1+b$x|rAw9m<>XJe&KzMN3yfJ##?bv%
zxU!ksH_mU#tbBDeda}Qi1k9o%O_yJz72Xl1I0GC6CF++`PU5@Z+?;Q_0Jwo`+Be3?
zX=-bSTbqRmL^q_~y}KEtt%!iYhX!kA06!yNfea`^D2c3C9X-IS;%^aQonew|2~6~P
zDFvOd$E)j8&vjzuCo0ya-Au$_aJx;GGBa>>p!v4H$Ta%1=Kf3Nd-x6V65jap=kqL^
zH=|a`+VYHZd(n>{*8wuL;}pA%Qs6Ov5^(dk*YyD0TU%QVO-(^Q3JD4bfI&s5zHwAH
zuKl^La>m#9L8Y$&QxVDATFjTvox6`Nc5<@7;>;ixK*wRQq8zFYcIG8aFw_Tat%zfK
zp?pdfdXTsXcj8B;JSav`{2qmdGAKIbWxM(LbJy3`y=#;h>(t5Cl*cxWG2Q9^Vv(J#
zX2p=4VxbnbjSqu*7ZnovJO?D(POl&Cmg+z)4V1uE5GLBva1BvXzi@CkEflr48(u1L
zubq>{Pa29EL(sZV=ItjqZr`~xGBuUm+Nz(n1RwYA-zQHpKJLYif3JOx(qEKU4+?#%
zQLhQ%HE4=c!Ua>8mm@1H1GMS^bB|j-&P8aetM;Ft9;$0-z!STtJfNtGh>PbKGb;Sn
zCYux0phUVVZp`sB^peg6>+9+5aGrvwAimjyWqOeeeu3bTBM#%uiH{yWY^e(u1#C=&
zY1L?bvj0?jA<iTP-tOQ*)#X07(6*HjUIk74Y!7(HqBt$)p%=mi?$dp8VwPp5f`WpN
zLPCsnbV7zdJp~uz=FPdJ!*HI;W}xU{FJfW{-@kvCCyk7ZNXdGjR*nb+Eh1BGEeF5;
zTO7{+WU&6V_UiwNoBw<Hn@gIBlEO*)uDIYQ+cje4@%p~LzIW&-rpv=h|3`V;xB<E`
zN*<rN^rJfo{4}tq?4S_J`_YJ^b!a8s1TNqyP<lQ~*CCWLK=cEn)?Zti0!B@fUt>&r
zR<>1cP%1@0-vM5BfL9H5DLguw@(5Mb&4GJZt1>f1fENiVD{tf~EY8D&mCaMB2MR-h
zS4=|H@8I?9({qlmtJ4gRj8srUuW}dT2n3JL1dlH~efo4vkJ{<ehWh%g>3)jzg|=Tf
zIX!=QHW(Qfmy?iiu;%b@zr8+-hp2s7H|5DBVgB|)cXxNsTgPZ-X6DJMNbuf(M9cA|
z>BKs`7lBuD;sufaJ8-PB@^T{#X0qK9gUM`eZr)N;vCyi8d3*hp$IL+X?{~IHb#)F7
zVnHH{iR}ff_Y$jM9v>S^JEV4Bw!ccxO-<dx!lHcGf3+U#FwvS)S6kZxNo|h#iEA0a
zr3Hlr1<yWw_>f!PJ^kv{t3=lkO(R1?Az@*SFiEi7@KZfT6B83*$$PQBdXM)?kVhM$
zx%Tg$SRo8ekp^>MV*0rR(HhD3&&Bk}$YST?;M}tLN12(K3(w=%KiI2)ME0I89<$Ix
zOXei_vO*fQwY8c$Iyr9UU`(`8!S*hh%!7k=zmWz}N*wt1Eb>?OG5%L1+W!FTc~Z}O
z*~TXIx5J0Ie*HC}tIKo>s8{udbJ^T|+R{{3U?75;LJA%~T#SU#<qQP)|3g88v&OY&
z4^$aVu+YJw$|^uBk0g}2h8Q^mRt}zKC}mPN=dbZ9`*!_Zh5b{{%_JL>a%1?@#Fz@B
z7;L^YP~?*XJ~JK8{?r2|s1qN!WrgU@YGh<2A|!Ot!67rLq5e-1eZk+q0_>%jo}D{)
zE|ATgJA7gw=Z%bw<>Rm=?iyi+mX-szC!MFE*o7stVR_p;!#gpHrh%g2@pR2F_lbqE
z`NjO=V(x@Fu(hv^2!0H6`W{67A|$o;_E?tLusILX6t9vCG~;I%An5Mh@$r@<e2B2H
za7ICZhK5FYjfSpnXPBUtL!tVaGm=S@siIzZvuGYxmqImXg1hH7)q*^aueIl%>}xqv
zQ|!C?1}wTL#T;NL*~zJ?@|UEDy;CS{-<Y1+(2+K$(Ao2$%>a^J9zXeldDABIDOnZw
zFPq#h-nm(H3;nsw;c%Q&hS;HK8j%8GPgGH{?B`?N`Twbf+!0Ahq6S^C_HT%z<H)Pv
zaow_|;n#ip>=th4R4X25m3kR;0R3SdP1r(pQ8WLd=9aVGVK=9J5Trc!$!iZltn)g8
zkSs1PMjHce7c4Ad3<5L&kxk0~C<HgzWdAix0wrPp;lU0}g>Uf@otSi>hJN$4M^P){
z&$5tq;ni!<IQC%wiwFzrxw{ixU0r!(ym#;2TVGGf-FqO2{Xl9%v<wCMb{!J_b8L%~
z9a_%iixGfKd?qi3^#NMJsmNMfDzN|Ktu|3zHc_j1+As4t&AzyqXVy?2fa*2A|JdlW
zGDLhC^kpggR)Kp#LG?BTQY*dhr9h6k&y+9M!EF9)^f~pJX6gRhG#Xs|SbEW5>}!L}
zVEfAxR_(=Zw$R!Hil(FBIqg14?Q?6YwJDHOf;{VeWZUAZ9UD|uR)!g~E9iEh-%UK4
z9hBNweK=H6e~f4QzT;IbHM=@bgRu+FurhwU`F9|dEs$V%D5udOKEuH>?IdR`5N^An
zs#~aFX!EFlgPNoF?%m4(Cj<Cz=U9Be04A;Fw}w}Dq;O<A5ILxhfbdEN4TPbT=SZD$
z>MJ5EhVQX&RJ`6-luwr1vU#)Y;#_j!K`Cdxb0IutW0dzF9`54xQ?yqqo39h)mb801
z%oaQR?b`x8m$dAs=a##k{1ONzGW2fsZES3kXz{W)PVYLZ)1I!EWN2uZ4DL4$__NMe
z+xiGGO$`k_3?>TP9=IX})K7SLcp=%IXbRItUmom)X(NK01=ZaSu19Gx2aoJfyEBMD
zd7mZ1@LV-3Kk?kEcw76;^cz3APNY$P0He2xPWw4`nMPSLjdZlzIUJ&}&=$YZo)Mpx
zeXrbS*<re`7<FxkxK44uwJ8#}f(HSBY?8OYc~Dt9R^I58ZDTvMqa^{oK(Lqvaq@dC
ztd2+oWMCPzPSo>*b{3)6sZ<-FuLQh5^BCjjlC~TW7byNsbr-0wuC6`;JE<$*3iY4U
z{DJ$rVK{TkmoT_^odPLazT^Xyv{};F3fPNsj>~_WVbsM>lauvbLCFKIT-mG6y9he9
zh1a`J!W@i)9%=~<ShrG|t=dEbSBmmu=0@(eh(rOi-nWjpye0!(C2Oz{sxlnwUI-hX
zK7D)m=7kGSq&%lBYN&u)01$ney1JhB<=H7Gs23wQ=xgR6mu@KPYH1a`e*N0Q#Pk5}
ziy~N?HDTBMs0}iUOLN~Bn_~*|9DAi9^vyt%xf5^FFnP!70q+Y0%s}5~lbY^uD%)wt
z$hKsNNlTNxf8^I3tABH>wBHFd4W^RTk;~I7VOeGeEqZhG^(nijPY1ucGqVN(L*U?*
zH;tBdbR~iq!Eh?hs)`zRNpqj#JRp5N58!dKe|iE}{U(aUXG}1?0#RRG;yUsusiCb?
z4fqxTI-}&`hBgSf66P*LbjCwNJsq^ppT7vDKp^99!cWH!vI<n+%($EA8$eh9-sz%Y
zj<hAPvMiwSJPCeWs&;fLh!+{7t`gV?097sZgw?0<_na#3#ONYEa<+Ne%8D1BLT<?D
zZ|i&qWl11|%*`;D@$r+r@$D{ni7~XzEG)wC`iIGCR-;2}IhN&_&Xx4H<d@J`K+R-m
zVztD`xh*VqVoQl+a(ma!B6yP$JS7$6BgW*RqMz9L26IldO{K=ElnkK-_uAE|1`PF0
zK>>&}y_qJmcMp!4DUS(=atQWR#tyI$z}|t}*8Urp#mD+pFpBfcYqccGlcBXT4%y*O
zL|twOK9oO-=9ayNR74XWorVLV_-yd;!0Ve>u4I(^Gu8%0fBWq;bWjbUqa?7O#0Ty~
z5&)bDbcb9WmKO>ylX|5BHhlX77<Bdxc|E^ePANt<Ze!vhB{AP^)=yW3PJH+Nee4FS
zj8mU1eK~+Zf}*kb?XiTz%s@FewBo^@HcxVoboimTFwv$?>CEi}9-57Ag@D2Wjk7lF
z#{6E5xbi*8quD|9wPnie*Y|~%{ECiBJo4`6NrV2SVCpYIV+;oo4=zzate?`9RJEWA
z3#;4pfig1)=N1@oYN4AnH(aBz;n$q-`=j7sBa&190@`ebjU&@S9V4`bi6mt|nrs{d
z+6Aod+&u`dM8;}7<A#;>biRGt5kOTv;IJO(OCN{)0SdFi$|(LwZjX^O1qu&q0%Bs!
zebWb6t?w(#fE5mKtI6(yG!z5C7mFmr)_~X`F!j^2PNOZsN`LwSma&M%l(^gDBD*J}
z3VsF_TnU}9PY_sSHLwa%hy*=>ZkW-$aG`ym+=s$`EAFmnAp2H!b|bWPXAU3020C&s
zDX_4z*7x?7HYz73COVoqM1O8<1ZXWl-?X#j3*8Tjydg|Hetl(5I<rv;L;}y4U8{HA
zF)eiFVFgCU#yT%!bunzf-f8doHxiV5mc|<uX0GQs|6^_KDT%^v7l%_KEnDAM*Dutl
zZ0OzD!tRjg3@*!V9-j3(Sk8u5LEIG;72JwmdBZ$Pc!=caphu5>0h3Z@Qo>hdVQ~m_
zP3cU9IodOX5(ZcUTZ=N~*Zv4-@X%2c!=V>8A`Lrx|G_s5_)Gh9`uh63RSpkjSo%y!
zLEKLic3QfXq*N+{SK9)@CNVEBPddHP530@2SL-VE%njjJ8A#vjrEAI-VJ$2thhk$J
z*uiOFF%P<bX|Uuk@tnzlZ4_zB;7ZUSmI9tq66M?u_7`Q{_)};(_b?;^Rv)8IJ^v4H
zyJ^MsY=BT+dH2sZLgL=;NsefEf55pc5g4Y@`s{m|sWmk$=b$aA*9c6hG3ihrZ98hO
zPT%<aNIe;rn6QbJ!!(TW<jHmlY)BwOz+1znFX$LGM=AT2Brzhf{`Q5=g9EhHrT{1C
zSAVGc@`VUB0BumH#{)frHp(DsurC5P?nWE5+2F}wU`8DM{ewH&Z?5#u_}i|ote8R*
zoeYLFZzxDUdD{9~C8HD~)izf4#yi^Vd(LbCGErICE_7=Ym5L*zHokwvB}yO-c-Paw
zrOs9h;xMC*HWUD668cL$6=+^P-gc8b?OrQigR;B2y5yH99^$S5E*M|D_!Lb6;-_58
z^2za2el&O7*LU|q#`yhL5=VxIt;#{|l3@o10dzurXJ@Cp`}otOCI}${`s64$;=$Ud
z++yX+g9UK{7|Ygf$~_TviWP`K0a$c|Y;%%)FiMoI&1A@(Q2gv6Ud@l{#N>g3cI<~W
zHHLc=AeKq1a?<DAMz6qT8ZvZAvLz~3-ho8O<MSRr1TIz;S}ak{B4%n#9Zmcc>c4Op
z2PLwwN6As?7%V~$gbn`Nhi#Oh>N{j`&&8q}Z0O*46OYwXu_&RD!Vb^T)vsQC4Ugia
z%YWkPnd}oSEiDo8@$nr=>YO-8@WQ3F`FaU+bbk*#rtQZMA58iE7W63b7uY26d?@R`
z98g~}w<rsi^3UslH=_?h2B7L)`Vf_#L7fGp#6SuX!CD|FOc%Z9mUB&BL={j^F3`cz
z^;bn+bFb0N#{t*HPqzUhyySMUcA{zR!H&Z*<T7hBG9|atX>q#07c7v1E!+29hD`ze
z_E3yTu;=U=C>K*;#bgjJ+0fD~tllqm$!#<NEM|O&29N+K+)%k3f_W9llYPYnBNPe_
zt$MIWVu^D};!Fgz!(PHRtKlZ!^XDH(U3s@TD=)9vzA}!u=UCQiz>yF>B?k@HyUCR!
z_LQ&KjS(!tslUVw(%E>dF*X~FaD~{&w8|r0a2pHv6KLy#FR%##Q}Ul~B^!!3?)v?F
zL%d4mz!Y>-!SJ_^?%0H=TwC9B967uW9j#VJQvc}mNo0ui7P7T!E9?OC@Z5&X-l;aP
zLY($P*B}<$cpy;8LqnI*&ZyKNo<S!CI!Z^Ab1r2C(9!}>$EhRBM4}wnR>%~(Ef1vx
z5K37Pmy;b?k<!<@n#pOKk?h;Z)}aWrL_o6HLHh(#=nxKD6^I^FJ>F{)&>`bgUP<8K
zQ%v8s>xf+s(H>QF0`|}vqEX`+1hkk!r{`xS9vT{YE6;`48I`eYABq5-m&he*{Mn`;
zLpNR-O%}8!K_+*0GoGpQwE&G3)Q~8fz3oq@U~zC`ZW*T-&|y;OZYf@Q!`5KY2Z&47
z&@TrA%|AiUV-N_NTwKk^j}z1;6)?K+v2<2;ZYWhKYrS>r768C=freM7)WOXH2bT=o
zF$D~^LZ>;T`To{G<OwW3Wuecepw@|`6$V@Aa&s$anrwTHHN$2@w7@B?et$kKv<tBa
zL1$!cu7+Phi2<Ct9i|aBjmqExU>%GhWi0&`jj~}M57==YXI~*h9==<CtrA1G$$@l6
z=^|?V0|1(VhIJ-a?2)h}fCpv=93M7Pw)1byvO-V2=_A*sKp)tu*>}?B%gaQx`vUt%
z1_lPAWSryp{1#elrs`o+3N(Y|Z_X!!CQXCJfvAE)@6YSH2vHKXXiH?r2LI)$jMb|X
S^w$u5h{jo+GdZU(-~NA<bcx&m

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_static/images/histogram_example_2.png b/docs/0.10.5/html/_static/images/histogram_example_2.png
new file mode 100644
index 0000000000000000000000000000000000000000..1aedf7549eddcedb39e5a3e46bf401e54d478fc3
GIT binary patch
literal 12592
zcmeHt2T)Y$wr*p<H0sPSiW0{G6DWv8k)Wa^B}mTbAUO(6l;kKlCQyO|B?(BTRdPld
zK|ln7rX?rIIZJ-u_MEwO?mhEvy}I@8t9M>Ksz70P@Ba7yueH9g)?H;qnVs92wv$Mt
zopQ40RY;@_-Xs!T*H(J`MetMG7yNUId_jw>YHLDvzG`nwQn*UCv$7>yng9B;ld-*n
zxvdR9j{wifV?Udb$#xE+yu8-`_5vPTdsANSTRmF1$u>J#Z3hx*_f_JXE>SYUoJ2Yi
zA$R_)n#;4X_8WRs_2TuZ1^PU*Z7ts3(mls*<3kU{I5z%pVNAsJ<4~L;*W>V0DqIQo
zHRMegn&jS@A1S|Q_3>J0JA16T{Bu<m#h+!YGX(@$7=jAB_B<@|^qO^ua`OIR1M|F_
zIJ^Jqqlu;Tx%Q~OmgP53C)UP`Sj+cuU{P9S6%Cv5Z?xwRBsvo5m=tLfiS+V2y6;J(
z(vzFc;7axP|DqSX-JEFp&PTbpsv3+*FZccBBh~%PD(0f>-06|?_U+rBzW+XYyuE;%
zpI<eAJU^=KI8=W@KcD=mIm1-n$d64t`S;(q&W+HN`uh3;;;dV<htdniRhH++_Uzl2
zI5}z8?y=CmG+r>#Ha;;`!5&i9U8ia25r4h6{HTbCR!mGxIKQdi13po^E^nKHF`><y
zHy;%f)7!zwLuQT&4CJ^|7PE(2WAL#I+hrG*-1OX@?W_I5C7*6?+~Vm}teBu`Zf-u@
zQB<&D<HkLE_r5r)`eN|&E2EHQ!)>HJI3NL$ckkZi550Jr>AC85@Zdr7%7BBzpI^lu
zQhb(}iKwt{QKJ+uCC`sG$I7sKGz!|ZWSWa!@45Ztxb7iCLqoaxe8-VY=Lv&@hYk(r
z4MaAC@)-pM2gm=wA^m=zYIm`WKilzyhNR6q_8vKONLoo^F|NM8Uf|mM@3YJsq?IIB
zGew<76SuIroOvo_oqS?#p=7;CBTXm%4!ft;LZ??rQ<`o<Zmvj9v`!eY@Hbo7)z;Tm
zv#wSCNPJ!v%|O-Ny^u#Q*Dh>5mNdygPhtwa%Wyax+pVgi($gei@?jqX3yamqXQzxF
z@R{Ht$}1`=tXeWFQ}y!dWlv&jY>as3S6|T#z1n3@Vh#3L@o{nc<oY9Tj9<_4SYKV}
zA5NhN?YdKTOzUMS)pPVSUqhz3YT%<sT^6k`uikom4clQPfAOOJm~G*d@8fGvj%oK;
zT$GhPfm3$0ULUjd;t%*>Nh#{r7zh`%<g(u4UHxwV8Pd*seA2c>b5ErGSdJP!ke8R&
z%lZ1%B|_x-xy8lB08f|Z>>CT?^0KmZ6P^pFckVlJhS-eOsc<3d;ibj4JO{3$M?WbD
zw{yy+_pW@7lMB?7TwYpAR*I51S#H+z$KCY#y~lMD9R@zO6gb=ZOfej~q&(AKqu-j-
z=~?j0FTZ5E%?)!66x#R6Z{D)S^8KR&HZx=G1v%-3)AH7zUv>|ywUW9R&3lG6kh&`T
zSWZ3ft?;)Ts*l&nC!5E6>|&QVCO5sXplM?A!lrOadNV!!aImJq<FanMksGsvmusF1
zD`{(Mr(b8p<2--+ijvpQlrz@Vbp<cv;^d4wx2#0r2#QmT5Y4kb&9cjJ^z-HAg$auL
z+W@DDjx>hDiizqe8o}f1=ItcAysh3Ork@fTj><6!+dTX6#~-=I8e(O3(`qeg>A|yQ
z%|-16&MEo@PBtDBxxKrrI|{XTOMH!f9vkb}7pz$|M7H?+@@o3>(yRNlU2A$z<K!s^
zQnw)*5n)4!ofNW{nVDHy+isHHdD5o3=-a-&$*wc~T)e!RdU|aKmu*_J6_muLZvV)@
zpsuVOEf;vm967sv*RCg=tf!qWH8(eh3)@Eae~cJm%E57ormQDa2$h@FMvB|S%q57D
z2cwbmDPHSqHoV#!&**nE5$8^!P}X`S*QAKkcfzw@U4P6W!zsteqgSWz+#ZjBw?qc&
zWLt&ZyMJHMq5o2jk=&lz#`ySns`jea+Dw$=^cOkW{8QWFB&j>Q%)d@{tNZ2k`khuY
zFi2mV8PNQ^u)5GW@^z}$@iG_b{&o8A&)mwm@@50h^(-GBU$~g-Yb5N8SQ&pVNlC*I
z8in>LR%Y%?pi**l^cg&nMMq(t+w5RWp2NWKs|vP;v7F9y<noatM`YKhdDowtM!HI4
zt;$H1+3q{+7M;Z&jvCAAn)>lrk@nrYce!|YG<0;riL|Z^Jgj-jq|}=({G{<c6;)MY
z6Jw<ARMplh6*x~cRRwbsiQMkFJm#puPg?#~jILh2+Va}?exys!wxZSfR=2gqfw>gJ
zRe2mVtwBjLZDqw>e6CRy8B-s9_Lg3+NlkeCLdOlIz{5&SjE3$ph<mfe>Aw7l;^m;o
zNFJjHzPnhH5fo?AbaT=JTi9K{{D90<NJ>f)b)Al*-_4df5anf16E0ZrCHKLD@8-ta
zb-k7vqGsQ7_$T7P@7=pspL@NxvBYa#G-;1_5zCA0^k3;o_xrwlF{_I{tCMGc&~$_(
z;G(y2D~WVv|AwDQByVE`Es6AmIBsB|9sNH6V%e6nhV%$S+mclcWDDy3B>5D8lnFH+
zi_*!lInK_0y4L3h5^otYHs$?$S)~v_tVLJp&5ij>!ztqWzB1pFc%_ij2UjOa+qZ9@
zwiCn+L{W(L?B74MByPj8q02b;>uXzO<?jJs-qPj$)j6Z?-OK>zU;nG%?4m$w%QO!}
z%}PR;R(IPCwmWyOHuIf2bt=Exmze-TKi1P0&999e4Gv=?5?mEXVjfGGZu6r_v$L}n
zbDcT1Q8q<$8atT;WPxJgd`7;96vE@OENM;G<FQ$h)IS<FH$LeuyJLyCrjAEFejMX8
z)?(iM)+Zn?UB6(s*I%-!=iU81?Cge`#v4c^muIw1rG{L>!kX8wU$?QInwr8rrGt&C
zs;bm9H2Pb3jvr4;ndX%9@$o^$Olny6_P`}9v}@>Om$8dp4A1S`w+F*5)2GP$4Junm
zT54)>FJGR>$;OZ1Cr^e)n=>p>;C=WIFUWO+qDD<EtwbLEd|ct5v-f)Wd)a~gy+d4G
z*0|R$0qd4a1x{m}o0{k>H(pWr5Gk%(Sy`DrR$s4jL0Y=0(jz!1Xb^9_mv{QY*&i-D
z+Oxl`jTy^pnOal1us(m)Cwru4$iC|!v8*7r7E0~Ofuy*&+a#?msXM*9yStHDPL|wA
zFJ)!rc++*xqd)%~-C@|X_1^FG>NIjXZTa>Bmw2XO0NFUj68C7D%-z7mPH|<N<lV!}
zoH9CUm6Po_(sWcvs7Y!MqN#B=Wt(?`VuZ@svo{ezoU4<3yf_rDW5<GK%c^sL8Fq6e
zNUbb@yZCIKR7;j+NTk=AYtd9WbNDHT7l*61kVuKb1`H(0^%aM?Vd}*qx48h$gNF~N
zXi^NqPdle`4%Nj-rJpz=H`bEXkgT4PY11w`H`=TU=F)hPx9AU<Qk*$uK#)e-#Ui5I
z|Kr4&lu=y?`duuENY<vS>bSbopZ1Inyz<Q4zbcpf*W<(wG&h&d&XO-&xN!8u31xr=
z3Uc+q<%Ib7Brpo(L((rC90W2&;EW@ap#dhpLnv`;q$=CnzgAIE35trMM2g?wl8`XC
zvzt9VbA7t6TF|oT7?_pWz{d!;#lDcNU*ByPpMK9Vr-#CKW_3E8lxz0s7llYM0z!tH
z(w?3?d9pE8o8Q>PM5DzEb#Az`q{MT%wUdjBOCGpK1%>sRPd$J)8x8ECn_O9(sj9A4
z)zf>HQd3bOgKAJ!Q<Fx%RN}cB6cRG9-5vN$9j2xT{`$x7Zb|!51y#dc^1WM>RaBl&
zPurtD<YnFQ@iC{R>j(QSg0-at1pL_UK2vkDd~kW9gjR$^s0{J0{)f5}u?_Lr$Uza=
zsKtN^=r){`FuO8S%MDmXVb3O5EP=<T4hagXzj^Z}UH96xYvLN;kx0s?3wyr1A}jm5
zyN8Fmp5ADafu3IK<m9A$#fLC{8E`Ec2py*!C~1*mltkK%@jMxSiKRq$cP^7&2ny~~
zr<$|$b#&ynA}=2LX+EQy1sR*@C<=~<7_)E?ji~zgQNzm0D&7dJSM|V`#ib?rfCqfR
ze%rQgMdf(Zx)Vt8YU&=pcR<jyXQ{VuZ<-rwknvcaR|jkpANa=~=jG~eZ)0eDp}-vf
z;)Q$wQSdL^-<yQAzIXTTCmgMS=|`4_ET`)CY(gO^e2gLt7BTYvF$a<Mz|5amS<`Uh
zxgGmdw6q4D$|pc20wHUR{Ka3~+OnHVKtPQ{#;<Y0YyF0j0&Wp)0Bi}0i;Lrg0#VQB
zJ$$&rx&ZJiFDG{yP%o|qMO|m-@=nkjd!8uqk1%_H1RT)vCH)ir{{IXA+qR@UWy2LW
zxBTbNpZ^5G8XCIKy7_fqz^XsHWV(67i=)5%a*mFUE`PqoG7G}OEqO1}i~n1Cy+)b?
z5V$!wq)<n|P6)YHyfS?;%YvGGZhdB;mQWw~e{hHUi~=DEJKbj<>SUT-UVpdoTXt>p
zzQ6Z){g=wX;Ly+`a#io&*8xa^!orfYGfdP6qwpV4Sql`1>6w{8PSh-_X(eKWt$PnI
zU6iDkfvc-4c(g;-;@7W7cz6`^^74ZHTp{ZSNF>&N?ARqp{fJ1n;iJJJA)2m|#>U26
z$B#P}ASwlf41OS8l$R%{HNgtz@ng@PJ?f$+$Tqi`8ew%@pr&YABGGhm?P4O`rz^Q8
z4*x^Gr+vgzL`%3_ApNO3%%P)(p|zy_+0vk=)%Ne-ukIHnej{7)nMij&tB74R8#jVI
zk=5Y(&cCb?=g*&i4+33WT%4W_N|c<KC_7La6;e{-<-><l*uHgZVtWr3KOFX-RE8x8
zF7X@l?}y0wEyYX2+!xNDS7Tbkz7_gtZaO0;uc+8`pSL&>E`<7N=kdnIBvr?yS#w&!
zZ-+01MxzE5EGb2ZszcjTXNMZ*sG5f6)MRy{0)hew{F%}3E|vxexXqfep0Ym=;84GO
z`7xAPmPrj0jah2@jvalyGhVL3Cr_$C%u!MLs8Du92s9)p(aLs9jwT(&f*N-KS^|QC
zh~f|@zX0B?W_JJKLux{lr%r`BaY)AuW_~<@S0-1)(!E3(Ba9TTOm<06y|LDug)<j$
zsiQWQ&JMmou;+}lwszPqHnG8*_lT#Bl1Zm?M>Ob5QuGTnh$=k>G%z+bohd5Bb;mzA
z=<FI3F9&eKV?m+J@$mHYBqYIGpB>`LKoReS8Cg={*Y0Y9;dHLAIs4qc?eZKop2Y1s
zYjkCPtaYHW05s`kK!xO%6Q@t>LSc!ze|_0Xdo8B|{d^}G#cR@lZKpRPxPd`QEJng(
z=?L-(hC^T<Zlm=kmhJ?yr~1k92535QZN!GRy4cbwZydTN&`nGmckp%;V<H^}lkTey
zx$zpXKpJtGJ=ld!C&Epq#Ip#J?trAEWX>wGX<FGBujr`8p0s9L-}Cc(!a4T&Rhc!r
z?N;n(A~ROQEMztLr5&-WRT)bo3T*V6>+E-3P+UBVDicK9`crX_&sg1L&zu*dey-hF
zaL1NcMt306#Z-U7nnGsGNP2}X*W<_hCD(Ex_tk5^y(i|Z!A23AHj&~j`*2@Bf%l})
zr%zK#OV51MI9<VFOFvGQtS^@oSTh@u2kQ=aKmrm5*x&Zb2CKt4*|bVXNDQ~-We`Gf
zC#z_q6cGz9!v6H7ng*`#0-bk5jvd5r_ot_)GaUvL<y02N+mWlhyEU;tT}9Zi-Ru&n
zd`9I*4j+~|u9NwQlNBLzi+-nyhQ^a~Qc~jDY<LLG>A?c;iGm4<2r*X`L-#2k!ptKo
zPK6&U$^;c!d!n))TT%E#rk0ehogocLtqB&PZ{42nsOsh>YP*5hR1P-rje}&-zJUSF
zn0BPEVnV}4f`q$BVvUCDOSEtakNo1*d0oxcH@CJB<Z36I*ymfp#7lVb63MkGe|(<0
znpzOyE9_zwO@!@1tiYjGeBjR&Q0N{!c%bI#S=>Z1L_j;q1>`%8CBr{cdIFZ#MHREB
zpN#dFP|2}rSJTnqLQo%&@*ON*9&dmFnZRsYc$tvdoon;LN<j#;t~s$ENe!^;T&J($
zbk#pIvaqDWhBN#0`~q7dqP%q3m6NnKvA#y}-N~%cw+3+!^Mu02jfi=9M`ptn@UVFH
zb^FVKhZM+P-amFr1tgWSv2F9VZpr)vt(e?aV%;i)>eFaM<mvpREQy8h*W3Lc!eWVv
z@!1((Dp=#7;rg86p9%NAqEu}Dvyt2KSdQaZ77e;i4n!0&+>&*1XlMuvpy3&Z?|wU#
zNGw82D^$p~BQ;4i!2$;0$#U5MmR)yxdV7N-BZ;#9=cCS_t%EZ_kVIHgd}GZSGUfXm
zha2UN>t@fY$zgRGlY_!HWmS-hj=c|s-SUYvw{)2;@Wvr2uW$9nuTTDaNk<_U=|w^U
zHz@GUn>Pt61`{?}kcXT5;;uVVvC<EdTZv#}BK;?9y!cD*>hi+K%`I$o$8*|Ll!9?o
zE>A$<K=90`zf{U!x}=8i2!is4wQ`i7Kck8du66#*$J2tg9b#FwoyBY^2&PFE%GPf+
z$iN`7r>95H8u<vIRkg9P3GOA55(qC3GcUDi6?Sk^W@h6U!Qnmw3XdH<dfC-A54L$*
zOWE7EYWNxoMUBwnEm?VO;6C-vqEpGjBKfylxAb$~zkgqyOqdo7g};#2R1PaeHlhs9
z_1xzrti+aHliEnaGR(Ev0@YZ?g{L2uW>8{OW<GcB+?SD&l%AenbLR2G=gu9?!Sy+s
zp(S8|>6Cq3O3e^iJ|JAc{5d{Vg;kWCc!KBWpU(h6v-HHjNfHp`wY4<@t6yhi=v%``
zNAbS*@L^hA$;A+!mST?rsAj#K&Xs;)CIPcY_{GJX5t}IpMQ}t8!XNgna+HKeV~(vM
z+`AzlB{nyRQz7)kS%m*(JR&T4$96|r-b33@&wV)6&43h>LJ-sd)->>Av+=e(=p7X@
zIkPEMyVuP~_UhFb5U8Hpa92u=r@~1`<nRT8oJ=-URQ!0bf=4$yb$$nq)XZDtAoly;
zJ5v9>!TEn80se3PjHzT&C@M-~;t|5=MzcdV+bZex1i_<pZSpRljHsb>>|tbdt|XXN
z$6Lz{UHA5I6B;Zi=qDgUifL`+J%4{1>@V&yG<ITN8C6)6`R;_0RljyEjxaKzothl_
z@b0;4y!-iu`$TC*CnQ-n#|GS3Im4s|+*sRuon~-Dp=7yzf)HY`s|Mpk3<4U4)SR50
z#5H%JT$Lc5BL9*eQ$@?e_)W>(Z#U~ZQq>*R4<Q+D)e*j&FC;NIGWW4#AJW9Zn_+b&
zH}SD~e!ZGy)82CY{F)lL73?*=R)o7CH_*NG7L;yRpU%rGH($SgJ^S(W#E}yxURHU+
zO@oW>)D9nE<dr;NwxxRy-3d<4^I)~#TrOU?TrMtO4^~Jlk7f{WmspvUnj8Go8{mOW
z`nQbF9c>{p{wX-CmzNj3+t#t2ER3CXKQJ@v_T>^*H53L7eV4`rrKqT)C~t2Pa4fGK
z8_2{=$)#5g2nY-ee)K3BtSb?f4FaWMs3GB-)CfOu^*305v5k#ta`lAs3`g7o&NAqq
z3YaYCP!%_&5q*!LSFX5SqabQ7ctI1)d;#ZiJ;;QkqM|yMO{v$5_+Tk2OGvCczn$@6
zG^m3q;0Ww0U_E^B;02UD7mp{ziBJj;k>p{X1mKISJtQ!&H@gU}gM3~<W;EUOJxijO
zs_e1p3_k5&wz2yEj2TAJ%Tqyv_wto1(di{?ZfOQZ`H@_IgT?>U3G1(UD(Ez-rSMGT
zGE$bBcsW+UqVWjmcWfj#VW%3R`ZFHai9_pzn~(1@!6BukeG$PgK79Bfzs#%s`aCK^
z!>!#Ci4cDlYb%R{^FCW4x%TSsH&77MKVvQ8wN?n?D{y1pO7p3|zdsN<=;>44q0qKA
zJ?Qa*talX^BQWpNrak|($|ca#<pfU8o=m2+fh%#!$&@UrbcRHv&GnWk#@{J^%o!n)
ztLv%2!j?|o@ms~7;dADfW8&C7*_-Akn(tTemp2YyXJ!B^fQ3V}&_KI%Z{P<EeD$GF
zcn9*!j1bSRl7IKoedYn~Oltb#u3p;8rWL+L*_2B&<ZYAZ#L|@+>A%~Dze%7Q0va$f
z`gLcR=BCo6lX#w-3|~MoAw4OcbKIv`vX(V%&CLl*(y^<Q4(UxDe#N|@pZ3*tnI+7y
zcVNunnx~-YgHPB|Dmq^};x<M-e^qQ;;*H*xm3dwEl7oa+K6A!fR~K5zLW3-bd%E^9
zEdTN!?rAg<R&u|vN8#tcW(nj=R#vIHUUKN>=m)PNcOk8x(FMhQ`Eu<bCubsBwZpAB
z6g0!hP}V5n@&SjSt%a;xj=(<%5b#(c6K!9@Do@MlNKQ>XM(7}PV3Q6f5QSg><pNqn
zN5+rk6Z*jr262OfW@*|P<#W>hZ{MC<{JPS)t=4mO$s9GyZS+;ew~m%-f}-0(yE8#L
zTrIZSY}l|NC?G(k`=F`qn-wNW+bE71%auY8zYn`Z%C1^@?iN64_9^W7*2q$0|En>G
z)GcTP*2DP2-ddhw@w@2RIeFoq`$2n_;{GFVwJ7;&@il(t21=nI#sPeMeYwzMeD&&;
zPJvUJZd3)kmmWm$SX2DP5YcBBsGdVB_V)H%jpKGAT<$ejq_ic6LTaZlMv+YRgJ^M{
zGncgt4G&KyL=1XrnkgD-L}q!wYnD81(^nNdTpxd*;9IM6G)puqY?dGL5oRU2;f-kM
zV+O(;0?|?MAs6+UCvWlB=QeqLd$X*XRS4YH)6?^*xMDmaX7%}H{xkV_i<2eB)lbwD
z#ZR25OH;yHl1v;}MC`7_*Ouwp7E!4QF{#}<cnhQ1#NBcw8czucX|TIbzByPS@MORc
zLML?#;79{)Vki)Uv^DgU8;CPLdy75^O;~=D4|Onr+s@Vh&)C6;1(W(x{7fr)alYT}
ze-2g4&C9C<=}H_#mg9&<jwhkxpvLra2<^>NwXR)4_GBbB!)7kWf?AbDIgl1LTRo7A
z{%cMiT&FXd`i{YCGm`5KX@*kTWe=H!iN4p;Y=aW8U6hdbgy{}!Okv4zoiTaHdRhat
zyAf?bLG1EFCPDerPNQ~nuKi)Avv(v{&cfDO8qKIBzuTjE1Z@Dg{we<Ed5zaR5gSaW
zol=FYK1ZV#p)F=HSQjJeG8wH~a<$AiFRgooQer@BNQyo*6X^Ms{w_Ohtwy*rcg*(4
z$YH9LAK|RGuApyzz|gRBdu^HTOJA5&S$mIZMHd!|5h=1XNAXH)wJA`5TE7s#%G@wR
z`E)W-GvLGNi9&};iQVF}kA^S}quV<8DOLew+Ohz^Z-R&YX8klEj03~NbyDWmRH$Kw
z#;6!3sM!N8igI#%aLiJR-de~x_UBwJqvxn(!Glyu>~vgxkkrgn424wQZ5Il4RnWpT
z%*15$0YvU0X9mW2xR%?lSFrXs>DoG4-oJa7PxZwmzVdy&WKjhS>?}e*+tSwH`#%Lg
znOPd4&=k6<Y7vX8jTri{McdKFz++BbQ}^7t-}1(?TZg0HR;xxV7EM=i9}*GCty<mb
z`fUL`28EvmY&+VXi8@wMo0MsF`;0I}U~b?x6feIZ*pJA2v%i%7$UpQ-K`etgBmTw$
zZ9LrF-G5?a92jm06^T$J><%I%beA#KMC3MvpMi6SYXW>bakZ;8=VfHLVN*%@e)s8c
zlzWfGLiSu>T!^8kHWa@_Yj&FM4JrLHM2M`4Peq&mYTJw*1_hvH>_;$;lL`mfpJL?L
zzo2UR@!2Pz9gJKLpqDNqXB+bzOch`ib$Tr5r#0y?P$N2lMUC0kx(F2wk=DjXG^J#0
z_R4fM6Tis=V%RBX-Z$G95*0vJPXy@76199~#q!uz@14pZY9q{-c(7<pK_z{R6erp`
zgwNYDkU$F)q_34&PK7fSe|kK(jJlVBAr@(Ej$r_|ZXd=>+fIpg`|9IFOMVM?S|nzQ
zjIUiAM5fjw$>Y(K--)gzF|PB)aby8=62m~{Z<*V|Jj^5-p;!~jCxvJz`69foHYZk?
zE6uoWZ8oCSj)R50nTp&gSUtxoWEHx$G9bwfbC4K^60&JaMBJnl78dfzQ=SZeq`(NN
z`tYIg#zav<$x0uuy=cTRjS{uCSnDNkkxL}S&K#@e=NL#)b72#T6KsPpB?fsmZ`w52
zabtptu#dHA&sT5Bc_p#V#6Vf(5)n|W4&kL0y3Wkv1$p`$!tP(~Xtm;Qv&xq)J!r|c
zP7&^Kk;384o=>7S;XoY6+nTf5DTb0BD4sfnF0a-Gyw)mi1ydgq1~I&|I`Eh_;;9v%
z3MrrvOn#pG-7)RZjPBove-Oy*y!2goZMmMsYfB@9(d#%^cb2FHVlH-RP5S!O2t&YS
zYjZphD+zuuMljamz?5l@VIlE{EWb`y^Nt`hG!aGZEzI>yPUCIbz-3|(jp!TzQO$bG
zAFBJFX*~XsBy{HAcgr7PY%2NDqwmoP(`Y#?CRQkMvFI2^l%W0tI$U}mZckY9N{0XO
zt%Cu5;g+24G&j~tQ!mI#jhZbhm^{hPFX*}Avbel#_}W%Vs|<arRg@VjTrV==e!sR=
zuPwW8NuKKT&Gaj|=E*4jPqL*o$CiR6_@`Y}=y!e`6%~a}Nndi&f%GV~j8l;k9y(YL
zb*Zc>&~k8Mf<jnh&J!K-3JU6g2~5cZ$S(_(BZZ|%R^GoF84<0%rfgJZnqkJ@>4z>m
zCQ3#}N4Y2oW@ZLntB%Bg91IWV<@diOqbA53daY&w?S^CWTQrrGyOP_Pn<kzUg&v<k
zU3%ABDJW2W1ZLVq;f$Ze(jW(>GR93SR@!D>!b#k|d$;q5s*X-Fkue>#S44GoVeCWO
zmGJY?KpZe#UZ06tZ^S^P=7gnI!{VwIJf3XZ&T%|sS`^vUK`+lf9yuyt)0P`GHj*Tm
z`T&9yPaVI^MAYc%L0#oz*D>3a0RSVuIVz9oWWKj*&!?gdD_p+M2!51txj*~Fa0w<7
z8qge`>AJN$9Nu3zy4AfSBM@8Ky~BaQ!N%Y<AJDV@0M~Rk{LzI_Oa&1PlwPs~!nj7j
zy#5dHk*9#PJevxCcIUZ8%K8#-U|^sT9D7rV#V-sDjEttRkcbk_yt1;F*TAX+6)EG!
zf=!0UvJ*epS#NKz5p33p;f6;|wV{R*75B>@GMoPT>#tnmCQ>?Os9NEedBZ(>=R;3B
z^gl?cg>hArs-2<N8s$EH*StRNuIqfWY0bxo(+cwP_oilM_z@${bK1xmbJ#(y6GaOj
zvaMS`Sm(5xVD`ck)vL8@AP2Kty%Q6*MAYZ-!4DHCUzrSb>AJb)l8sGzGX`w5VfW`j
z6kNh=#|Ma3rj->Sm}yhGz9o{+GB6~>wEV$-BXFS_3`}(oHz;HM;WbmwF~HUQfK5FA
z+zqTB?X@rjM>rZPVX#HR@caHdWmgFuZgi>Fb4^fVQ>mNXl+jsFH)7fmix66++eojr
zkAaoddS!K00j#Emn^LIKor?o_me(I{`JkkvWC)yh5v*dw^JFmCAM=STr3aUpXUZx%
z(AU}r5#NBOGe4R}8OXz>h|lW_7Y7#b`loQbL(wB}psH(zVX`%x=!n0)&Rn&$Up1p*
zaH_XL0q?A-kH5(MZTqYG4^@u23SKEC<y1uTl^0@WrN70JB8X&pfl&Yxw5x2EBNP*0
zb@*-Dv4bDJpUGs`oBnFvlGHo<^HM5TPzRxx;LKof6ez`qU=hS9Zh38OZKic=)1^qU
zW)817FdFbRJMj{@nIC@tf#VX)_tw8HYo=ll672z}=A)%ozL~znq_8=VacW^f822GQ
z%|=j|faSgu<)J#FVbJ;B(%#=>{{Q+cwZ=Yl3{5_SUhZ3i@k9&>>WY)P<RAjk8QbKw
zzTD{u3g!Z@I*}39!K0s;n1+XbBt>^jqGx7Fw7%dTs@U1RM6eT0ef<@o4^hRNM(spq
z>o4*Sb*_zd5@Q&I4?a<{UTnDzPl`Mc;Y@V!6`l&IBgSS4BV-|n6fF&RE_DjyvdQS&
z6GMEMg@r}6cL?TF^6Pcr4Y`8V*$h1=CV2egg)@q*;%;gI#K*4ovai=|VRw&4HV?xj
zQI?gJ^-$PM;@QDVxACPk+%KfyG4v~tEtZHZ0)!4JMe3Qa7mVj$G^+3m<|L*9m&(}J
zqCwcrF!qT#CN&BMwi1-s<s_e--Q->V8$Z@}y+J{^vfC~<+sMc$3+eog43t1lrbkgg
zCV(kJlig(jamZgT`0AfNeR3O&xs!>p(EQ_UB#R#)f|9!i1_rXn>_onhMGwlA-PuhO
z?sShuBn`LPmQcIi+?p%hxZCCVCDPY--*%+gG%C;9YiTH9xG^aZGar`Z!n!(TK-M6y
z*W!IBz)bQ`eajIB(l85pZ7-!^^1_x9G_E2{!4YDn8tq0)aw>9}00m-}8+CM+R<fp!
z%AD4Bk1pB<(@|PRZ*OlC1w~z&ALGVkwnCJI{z99B(nG&KAPSncg!N5K?-0rcU2dxV
wJCd?6OMlOuD-e{W+y7#O@xN*q_pj4^k*?`g<J8H3TSbz)pm;w0+?C({2PJq-W&i*H

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_static/images/missing_value_barchart_example_0.png b/docs/0.10.5/html/_static/images/missing_value_barchart_example_0.png
new file mode 100644
index 0000000000000000000000000000000000000000..33cb7afd224816d1d0c8e9ef2af37cc27d3bd277
GIT binary patch
literal 24758
zcmeHv2UL{lwq=>Sjh)msL93;xBozS>DD1XdED%tXAVDwyB1wso>GrB^L<<qgwu(qb
z5fG4MLb3u9Bq~WVl2gI#^JDkixp!vXd$Zn}wcgCV%f2X8_1FJ@-wFHdv(I;akE-Il
z*-K}$Sgd*6T|cX{STpd~X&GP4#E;`uC64$ZWBZG??LI4GTZco|Ml6*>wkOQ3Y|Tv%
z|6p%qZDVR>DIvB+OhV*`W45*@Y_^GuTm1C~F)M2m@w}j)3vrPzPwYBi!(s_MrT?Z_
zzP97ASca>)KmWM@R6u*R<4sLF{=}!U{MhW<zyH4M)`zpYV(X6It$U}XV#8J5w`ZSl
ze90o=+=taxA#N&s*ZhSRCs#{KZ&Ci?=kGFI)qa^V<?FrIelaxetQB<g{rTph?+<mp
z?>?nhrdQ@W>QazYEAi3pq`XWsC&W5QZ$55@wP#n<26_4mEB3<|9`tjM;nW}K=XW<*
zU(nAPYgtqAWBadPdeA@rE4-}TrnF%DGtN-mX}SKAeOz9A*+JPT-O<(4aR1uA`?a*1
zqY`VBc;+b`38uAau5oGUekD)k@z$2I7=w^3dQ3x^?`7@H?Q0yHja}6eS@g;6za~wM
zJ)`T~5#N@Ob!CNrf2nTFZ^iWH*vNakebpV#H7n|>*?i5?eeCJhRO{3h<s%^PwEx6X
zdJE^gl3Z=3Xa@cLKWPc+Dd}>LTpF!q;!Fw)@_Z$FGiM3jy?5_k(dr-L!otIqMh80L
zMp`36k7Qk0@2%u5VCu_k^7hlm&CGg7+G0#PtCGA0W^A~foV=~KDL>b_E7j+%rmkqJ
zQ@>J#rf}iqc*Yp^#8@Xi(H;}_R>DQY>-N8Xa{Tylbuk|=woP+Eep^g>&^+m?6Cp|8
z>|ssE9koh2540x_X=!M9+m-1{2X3>|35$07O)WejK`PETKc^&YAO7c+WYcUs&|cAk
ze}*WUeK(OvcGmAFV`E%BklYsS|5nRDf9!~NakxfAWZFpU0f%b4wu8<S{6XQZZytVf
z7s0#t#4O+p{g8bwksmFhC7XGnC~RM7a;2Nry~5|;v8J$C9!{bz@2qei!V}t!@yFkW
zclL^F-4i-As<0TJX3gHs+^@&fZ|TjfTN%^0)34WUobna@{D+ryeqXuc?A`qvjP6{P
z3U{`6{`=QhQ~bFYrO^4fzIDJ`DP-<4Df6(d2PZmCX01qEE@b6fAU{}j9lu|`HMTQ;
z4gbo;XuFVE%(Xu(n8rI$yg~lOg|}hOJ#Vjh2i-oXFr2OSaAJH^%W1C8_sl(LbBtA#
zYl8J!)@z!2%JuBBOy>_Qcj?ab7C5u$`J_3`cpasi$QC>}LtD&8SZ<!^dB$(|uuKB&
zG<gl5vIGl76RXtUn;zp<P2C+=X&QR8wM0n`&%6CdfQ@QVio?TFo$PPbwmh-Vox!ba
zS`u-%Nqkq3Zcf*GuT%W~3FqM9iDB3Dz9RPl_pw65mzO5YyV6F(4wyyt_6}59H96Og
za-9Y_TcUK{x_6XaS~73Kmord4ZOOL21&)1h_BxJsgqc<*xJs29*0-mP{wg!_vA8(C
z?VYk*=QYKh4R^f;cJuU3zUXd$(wkA`+@&(yW-xKpePT2l)-2o>T`4?mmK#SXpqn50
zU}xFLxm`u~RC+#KOl&N4AGZ;38+yOnUrMy2GO_TUzop;l`P<gjjx|ZgHTjuIow}kC
z$l4X>zfIDy{_^MN&GYvuDPhOQ3%Xqs(T@F4puaC}XjG&n{tRctq$t_$+}x#oe7#fe
zeI17zO{@p2rJLe{<-=<R!=v<j3e|OW{cHK1{z=14%8MOc$HyEU-=E3qeLBap`Rp>W
zY{%y60Db!khxH0OEZn+JACWLG4_<Vj_nnz|(>pVF|Iw~=Ngo5whU(;~l;=xK3S5K~
zhB6m#wr}TOe8RD+d2&fmfm5I5SvWE3J|XTtT3P$BEjp!iG%mWeYU*6r%bu^!3694{
zrVfm7dBV{{rpGxt^-EiL%4r6RCrS<6>&NP5`53*r`XH(O;d?BxL~*j6f1Y3e!2-En
z8^=#C&WfLV(*Dq9Gj3}0iMo};`Bs+Mf)iUg6TJ!!%@V;f8@ZcLeo#*8ek$Q}s(oy@
z*Sa-q^k{qe=svj45l?xkG6Q#40jH0DTv{r*A$_b-Jg!v7%;?=CQ<*xCX+7`EVnllj
zlf%DaoJi+)Y=fAmoO(e=V!F<tPHoz>-dC#|<$7Kf3AVq9)*oH&KDNM%9g{lnQ)g0h
zVQ$~JcxvDN@v-J!FSft=LzVHqP(_>aLk9V!x?KTjuCto*B*b40H`fMfM(G%3{x&@P
zHb&L5+eM8tY?wCQZ_tpKo+|0w>3D3UuVNE_v@3Xy*yGhHoyi8ghTw_iehxK`W)F_U
zJn1oU93NIJPO|Zl8|!|S)S2AY6C&=qKBfJkGN;$Ku%SJ!uwdv@eO!%GTVtR@O?HJz
zaB8^><Gs0!m%iV0yEDH2imVtSZ45%uX1=ASF%ucL|GM1z)p>-bgIvy~V{hNSz09%y
z_<BO6W1?DX?2e$mZ$V&+NJ3L_@OaE}+t*)mc_u+i{7r%!@7DBMBpKCWEj}EI-oK&o
z<DGPGc34<gftT8q14kzUWa3(*e?s;O4z;RHQ<j@JyUg;YO@WLM*Sa@f+5}NkdH72$
zmCv{E$h24rE^>#ReU~fVTp)XH%SgGRz_23ku0vN;T)tFFNlNGI9ctl~0<r^w{n4ZC
zCZ4Kc`*l8~i6)Mzl{nX5)>>3C`0>ta3A0jXF3)vf_@~nnT@SJZxV#y279AZM`ZO<E
zUt==;&#-y@W0uM3c}_yy=(Lf=2VxD!)jfR`+z%df=ht$J49Aptq6y_I5s|pOCu2Ru
z{n3@j?r{1$bzS=><oFH+0fUPx2CHo9TN4H=Oi~dUozfF3jQx}2_l2rjoaof>o(x_a
zae;#KLgQPxn~ieJhAV5Mby_z`n56AXOl|V3_OTw9I&kE2{CL;nCH>K6wP`z2M|I*y
z)Na60`wp#<Fy3v}&2N)1DF|4*Ld!NvcoN{`){c(~dYMHJYv5jA=-K3p+jM6N-L<H+
zzq~CWt<v5<SMhY+JZU+<s6@-+`}IzJA0OP_sT213x%a~pyi`ZH1v1UKzET~R$NFP@
z8t>mxjd9?&M#LOQlt1#)e_l`u@@QA;;K0O+viQt+l?UCePuT}-^5d}yPiutUFEWHH
zd;Ip!DqY;D{&J!cPtUo-ak%buQh&5XWrDs_|2q+GPhar@=~Fd}51tZv`*seG@rl!B
z{)aD$+TX8q8~gMomp>M<lt~V^Zt27y_l|Mv59RU_YlHm!t<oN4_RDrXQR6juYXxOX
z6kdvQsIDEiH>$QzcN-Ns$6fq3rj}zDEI8zoKE`RZc1%jo3jdkOf$L&Z2e!%iTO{c7
z8j{<_Q!?WXhMtzS2^4(FH3$kg5N9lw(DcW-@t{hpiS9pE=~`8b>sqDuS_f@ysY+75
zBG>bXjT|C(Q=(8#B0fI8KiVC3YSZYgRhr_iA;cia@3h1Aho{W$u678Oer#W?l9-R1
z=wN53Pw;=fB5$8n<<z#&aiHSl5(T%T<IV1AUJ`|4dcYZo_>~B6?%IcJ-1{RGa-}NU
zdF-T*w=X_~M>Z8Hi|2oQbEkKx-qU2L`+ZUaPucp_%5!(MVh$n}=4zIU2+J;*LfL)Y
z<0;cP!N`T{3+1IP!_3rVJD%hP%F6CIH=e%Rug}`8Kf-IVZgE)g(&7FXtDHr;=IK-K
z@%L0FbXaGv8EkA;P!O9KYZi6<a9+szooVRX6t{jLltXcm?F?%0(8$nAABhV%`ErV~
zei<-}OP8~caXLTkx~}E$4gq(U{l<BxBrM)N%AL8aPjzB^R>S=}1+V<fqEnxmbe2D`
zDNvY*ah%}KvhIj4GcLKm*H_Nbx~U+LP>?+0B6p;}&1c#Ixs9V8iM6wXO^h@)jDGiG
zkwwv6Zc9a+3Ge8K=jU7A9BFiKxAPRpUS_r5iAtHJ^|vpM2j)x1s3uxQd6}2iy;I{K
z$$i8(wC<g&xw5x1CRk|DF}mnTr24x@+=R;LqJ3jo*pDt?<WRe|(hBpqvlGGE_lsP!
z7JA@v8P*SO=?^M-#y*Xjt+4vVYGz+^U)ZF0M)rM?@y)5(8}X+9oXTO#eZA<u=@~*R
zneXWLlL*})Dalp$x|{H{c)QWt($afP&n8x?YiMY^H(jd6m~d-<Pi}{Vvpw&+S6+Dc
zmOU`qe5K(DvGe*C@ozWCsnj#Bygl{h6@B^MW+9s<c6JF{qF!mcrX)<(7r67DY9KOJ
zb3q^>OjG?9G8>N@ZN4VknqDl{QjXBHDULHy*=BocHFte>j?L(5;Y2^bhT4hfzPXZi
zTH|X35Aw?%9Lbuk`pBHIiCYIHB}2vr5>tDsyV8Q*y-PB!lxit|5D*^TdR@so=!(XV
z8X85s&IG!_q6n>+>zcPGrc8eF$KIy+oEZ1iLkaJW+mG}+EBIS(lU}i{WWSS$=GPtX
z)-1EwU$F#W{NcOf5g|a~xNN=B!ijH~z;NtuetzmfPT~9LzYxVk3*$0pW^1ME07Y5~
zOeL88A1~|b)Df+By3PZVExJRO$T<8NEytF63m6)G>W^`k4-K$ZN*$H8Z!f>ZR7TtD
zzwo$RlIlEYjtJ;2KxGu`#(7<j{{`AMzl#tiqiYebvCa15)q+4-6MQVUF7vd6%TTwH
z=S=!|f6rG}cRCGJm@FP15Aiveqb#0!9au^1+;Zz(XXh^ANtS9K@hy}!ExJ2%P|bI<
zk#FIb^szZ#dMLm7W5+oH&lM<hibK_cZCgv$Tc!4E?!2<xH&-l0#44R{Z;7JNWxO}I
z&~>odN6O-zNbxX=nWW#=GN^sZiLjbe^_Oj1ii{qV4OTnUy3{YLeKii)ktN_PvRd&<
z-o$v<M3aB*m~rm{=6n0UV)-2AezN+*uJnM=j&t)>f;p}a4Ksh!bNTclcR5Q)HK4q1
zeEq(AcMa0ra&1-VR<(Dr#{T9s*cpghkannbbvWqM60$o;P6maR+a1rYH+QmT2T=9y
zp%EC$5}!ruRXwoG>dD?rE`8o`@6<Z$JsZ3?$TK@Fa*g$Px!h=boLyzE^{6<#Bl6hP
zI-xCxp8l;0m*?_Sq$=3U%wvB%BSatYnD~md>_pZIhr7wi$u)edv|;1<3S-@Q!3qjo
z>zwtWTgr~nHD0d^np)*yg#`cz_>tbxo=|C7aqP}zGD)M6zLq7M4*xvfeNN#h{?6qU
zx-?11pvD%K+e9B1QDW&`$o3Ly{%}#e;KgDCy)M6J3l!wE4mujWi#IE~<V7ZuQS_z9
zyvGCY%p|NEUR_!uu@*p1>7H6}kgtTvJs<{(d>np@nn`zEW`#v!^#=J3%(btv$~~q`
zn|U<DW6Ecv^UK?@onHDkO1yu){126{8G@j8e^vkRlmijfkCZ%VS0bm^1eM8Wzf$si
zp#Ck()V^AFcdpY4Ar!56(QwTk$&{jRBgZD|mj8I1`2iRC&q*QwZ+v%f#$ehYA?4(l
zuUGHf@5H9{(f%8&{AW*v@l#@t>wcTu71q3OSpK)bum}aaScgYM6eH>?c`^~VAFtF6
zrcbyEI5u4CYbh2o7|zk!AkPqhCCV(loiXX-P5`z6>}(?+{Tm4um71qk(bwD$W<9>7
z3T7<NPg3~wtOW(|s?VR>vWulRQ@YxAU+0tF0^5#vlIf$>U7ueQ@n)6p0!d)0s=)7K
zXS+`fx`*l}S}qJ?2*n#jfoLBHKtS}}W_NsKuq$0paBS0G0Xr#`;btNPro?`|^YT(}
z;g~0zsT`nNQxAJoRZtDGtI=MJZg6O8B1`-Q3Rat*Y@tv+vF1F9!aS);^L;JX=;d2)
z^rk%iE`8)}OwU+vVJI*m2o|@8RfP&CKRjpB!y5ibziwyO9K1Or{705~MsJ})u))Mg
z8JBlaJZ<X=S$n-s1YAYWMz=p>vw6mu#RqQ=_cn(*bk!gbsaigMfA&SG9KWyFu5z%}
z-5n^xk1g}@)@jXM8;K6{Fj~oyGOT&x$mJottx;TISE619D5(%r8MN`xZ%oCr{e|Nf
z%<6!4E%zXvNl#3AsQ=BZ({lwmPdfWAOTD{qeVTSNW8&+7i>y-k!=_L^u`^R}+N}AJ
zeOvJ%R_qu5;Mo5z#_M0<@L#J&2K?{iNB^>x*r(Go0BQC+k@d5Voz&US0=1Va;n>q)
z#IgMN`i~0xN(-%wpXt?DYqPymPM~rdE(zs$1O6rLZ8ORD^Cq^%VC=)<-U8XK$hsDK
zt6^jD?Wu-srBM<`US4u(Q8vf{GVBHTDoe5N`}l^rfWr7E&-FgJC|vUWPNIo}P$~21
zK5MIS-c9qg;U>H^3@+w6YA6nv<GNL5C@`%7CQa%xesx4Ww@=K+1_fTz8%06=&fdHL
z83_>EJJR?aRwe)w6}H7HaW9vefiy^HsY!L7Ie+<0A{;?-Ci;vzGw#{*8aIiqLT~vI
z&&CEXHPs}&g1>$F?PkLaj{q<@;CQm<h(Easu5ir+zjh+f&(F`ctyDCz+Fn;IeXPg!
z<Lg67g%Uu}%k4_`Ce{5mrzggpFD#xuW^G&$;0r>g0nLk?SJzhergpiCyN>i_rw-Pn
zRMiU7!*ara#p~)d0SWc&D~x2iGo~?*LmvT85K)DN_uY8tr=~n#FLs6d1m6bF45GO7
zz#qMR?G+Nvok=Dm10DWB^3KMo{iVtl78Yw&{H_BxH{H;+%tr12XEMvAz5GE1fU@RC
zIr`FA5gk329^&2noPBEY-gi7X+b9eMxeioZ&uzp5txN~uNYF8|d&xkRP2rRAk+%L$
zg`QWdZ7MAi8(;5OkdF}Fi;dZmSY@3%JD9>TYiYzU)l<h#ddd%I2RSzRA_L-T_<z)<
zCb)lWrSKR(B0T&?a?{lv^RrQ}Ut=$kJYI4^fC1h&xEJSoP)|b|-@g1r#uQ&E3mv5p
z^_dF<0#GBY?rknCT;M+RtUakY$am|>!y$?)JloDH8Ey}HDEm)+L${#4|Kc1EFpWoP
zO;BiT0sklOJdnp9tPM7cPFkxb_vz=EbHBf8ofNS5&d$bt!6QUuDrngfeY2ACGw-fi
zFlS*P^%7Z}=wD`JfI@btKq~9OI)or$-M@1s2gJ!W`GNA)+}6W&j?IBob~Ip9b8r24
z+PY+~Vk7=;mLSuNJp(abOEy8)gmn<&7HqA*Wb99<jJ5R6FY?nHBI62_c##iYE=}qy
zQnu-PqbQzm5Bws2o#Qsz;Un%ooa+eQ)w)<kx)BeWXBLy1@YHzO=A*l=D2xv|4bnFl
ze0ZWP@mD_nvw(`f&$`KWZhxQ{4SKb&^=(9^U8PmJtAK0Y8<)Y9+I$pa$t714ZkwY;
zku=tm8wb~wZW)3pi8Y_68>~~%DG|*e`k2bOkeBIafb@N8C&mYtNSSMw>N`{~+*Y~r
z+;U!MkkbY=`TqSc(Pcx;!#OA5bWFf~>=WY=xT@C2QF68I`>y9SS|=6l5LqB$oVTki
zTHl}VIx&=`V2pAAeVL@z@CfUwlUbt0pDriOc#Hyz%RB$A&^<*@0hJZ;FK+f!i^d(y
z%ATwcw7=Z#o9b3N+F|1@Q2(v(7E|?V{afB2Wkov|)!hsK8N4R(;GmODER$RA1=znc
zl|g^e$MnXk=?uN76TQf8PPZa|w044!loyO&sM0(RrPWcdC)kRMk&YuRp*E-)O&VTZ
zTj<xbBN!0Ci%pF?^oaJoIlwH@9i6I$9$+J6+9Knu-~6&T1b}W%*B&u%C6KJ+tIQ1C
z`TZ`PHo?ji22sG7$7as-{$2*VXkR^W!R4FD+A3m^!;CtxQE$=AI71N!t-fG!m-ln}
zqvgTaKm7D^S?IlcYf+9`yj;Jy|K&2P5(|gclCZ;QOaozLVXKGGV3E+$x6|M;+;~Jx
znxDUAa#-e(D_cMO4o9p)@W|iv;hSog-h8{tO3M_B7ftkG4^PDN?w(w6wVwChuIWQB
z#KF<TmmFEdSvlxy5_F)mckYtSY(baqA5WW!J?Va0g(8>ByDVL^H3f*#I+y{he&N5k
z&aAt+>4^FU?;h_MmykDEA}$v?(J1s8m1_=iwxodE-2H4pp$XV~^M~1Msfk#FTcU>V
zaBuKL05F>n_g#X8f3A4?lf7>kclJ}hINPK6o{BQh{L!18mpS)T{H3_O*4EaAo79mY
zt_ep!UZtgX@|RRIkiXaP$lFjg7tZ!&+za<KBjd^n*(Ox|`QSd^emp{<k=^nxzRfzg
zxyHFG9~SJ5?`<Yp0-4M=vDQsCA}T>A*`X_lGEVSlRkL-&HN|^a_*_1pE?ehyeD9Q4
z07>-96npV)#<i}47A2dWot=lfL<r7x4FaLQO4t0sFKPWzR-%J8jOp7P+q+;&1qcgt
zVQpGMeC{PA*oU<R!|G^xL)6#LT7F`?#BK&s3i~Wt$f6K@4{czywtRZyV_c&$3;Sus
zAJ)2!HlAL<A@{K<;tEOD-=%GgwLZ2tkrfkHu#H&M&BtEf(zAQ3ku+H2Y*Y8^tkRBj
z@UQr42`rS{#8@wavFY1z4dP!^1Gj0Mu%>Gq^F`v{&7+WGid9bo3^xW#Is8m;{Hl7`
zb#_uuj<6RSA(cyQTTtQg7k~bVJ~$aD=Bz-q;)rMKp~T=iI-mlw4-Q{lR;p_iC<scJ
zUbO!B$2m<WJ?8r!kn_xmiZ9iH2ijP}5AVW#C^o35s3hBW_#v?FcVcpu_WDQVtf9S8
zI`K-0mf#H-YAMoIr(v?En$a`KJ8u6~qhV1UGQIeq%?+gxbTo2v`A_J}VmC+ZV!0rD
zE{jM1W(_x|u}9s&V2Ek<cMC53(gWp^<%x-UPlX_%pi`^xl={iG+4E)FuM!c&?P>D2
zYNFmO*m^H4Mn^)W7;>S$&82yCb>YAZ(=(7^?$x+z8MxYw_xPmWMc9(TQrqBx@7cBe
zk`)QR2Aj?6avMwmZ*F4K8W!3ljMDCcz%sgq<~GsRl|R(KyqsH>HV{u3V}X3%9&+Co
z9}IZtXEgr4`pPRfSrPb_0Ho(7(w2HN*3wFN+=zm)1Ey@0l$4Z#6T~57i`(%@(-2q4
zk)5+h<kgJDdavhxON3EIP6*zO1h|F^%;B?BFb;g&TCTvUx?dM={+4bfG7pyE(iWA-
zV<RJ*^=+C{CMLItUK#R)ZI&H$Mjs&d(6gnkdGM}4c1vkg<!oOjjcXc<ZeVpn!2uIv
zG9N51B-$M)#OD2(#Yk;N=(kv&{gRx?u(9a&R4R1&kIc%%DEGrF10@Q!uBKE>rsIc9
zoh9flhYp-EXr&mCfwRz^wnzi#t@W4HYB_m$wt^sxP91o++$L`mLa&=x+Rz8$?C9NO
zO4u`UZ=eXZo<noZtCQ`blbZYhkV2mpGai~-d^;M}zuHr7Gs;I*AVOeE{E<Mncen56
zHC{q$1y3A%TMyPkE6|%UZ9#*w!H9ZD7PJ0~!hX@8^7u8dZ-AnJBbzpnkS#?w-%Uq$
z@{Z<9mgRwN^QSZe6S6rYL=c1aZDz(9B&X2!N5!h2xi3u}Br!w0%rYGQvv$;J7tKJL
zA-n0#5sqm9qES;($yfJWvgOzwiQSAl2zxGC%mNwiPdGg3!v*0U^!uep9;=738B#tY
zi;%TLXH`44X9?soSmBT?+6WKtgNU@iK!>PB&(20g?p3TRD@sm`I8z+%?I}#Pfrrss
zY#4(7P4;kKs6rsR<O+b+QQd!)20m|7;d4mlln|dQ&_ig?hcW4W&v)u?)p*aP-`x5h
zziG#Y@gQvoTNp%_W?lFLM)|pCD_!ei6Qao6*-yuip6+_7=D_B>i8rR!_J6-?r`g@l
z&wp$4>BZt^def$?<z9&Ol8S<^wqP;6=C9Z$(tj#=1rt{<B6OdC7DOp*zY-5A5iLRY
zeBusvuF&1!t*)=1x+;rI!NXe>tC4-~y%o2T?kwXWrATys!upu&>{$mBpD!TyxM(%K
zy!{U>>#OiX?*clJy8FJPPvq2fI9A6U3^}Kr{iVm2lxY)En?d)stjB8}-kCF(vAx8i
z`o0rR)btjhOR%(0Zm^zFSLiknm)s!;NTlqNx}M|2P$oaD_s(s!wn;aQ(2PQQ<*_9N
zhc`a<Osn}$a>kfp64z^Oh)H44Ur1?T&_}PfH>)kDkVz~xIz5la^@3<cXkSa(z6XV@
z$QW78TZ$9~wja`9vr0=##fsbL4z?Gc`iszDp7K9QM@G;Dl(FVyZMp6`)jM|*P&EMI
zZd<a^a68px;C=~rdkZjy1nhqU>qc(l?!ax5#8?r4V{->PtK&f0m(0kFN_ZFkbl+qo
zy91*k$VpWG?_aMb+DM371B^3w#kMU(-}4YiEw26WIA5xAzx7di(qnIwfI{_JR^B)Y
zMZ^*r>!bQ#xxla5ND!3Vfovp<MC(k255Y$7@9oa`0bV){wEMED@IXM@`~Ey9NkE<_
zU335QejEP%LKh#NR+ojwfjn$0ee>bxzh7D|vsq1nZ_C-{1lvP$n<1pPX#-#I)rB7z
z&%C^b<z_9~x~T3fh5d6Y?6r}2V&y(P|CZ!6e#C5{JD#Uhw2^$`Rz=izQ@XQ-g6WCr
z@?&^Y4kaeG-TN5*6nlnRmsv#*`)HTwW|o-fP`p(w2W5a6RX@K@n`K<4@1T-m-?2ev
z^XGSMU<uflA5xy{1_1Q#aApkL+I#szdQo#Wwxb4xD5<A>a%s;f6hk7l5ps-+bxfm0
z1yyw2Prxx$Vr_Hi3;^;X#=inZ%sy&uFo`yDKOBGTlc#%tJHO4q5t*^4Go`BuVKa}g
z7#ku1$sXTAm$e|m@-lv%7WZtv>=(b$O~ihOn+QU=%jJQ|Ykq%Duz((ZvdysbD<(Lt
zUFW@+V|r(XF8Ui(id<W*Xbhra3G@Z1KjU_Fw-tpb*WiX`t0o=Z?YCt;O2gf}-2q!S
z$vgGk@BTSh@9#RXhDJc@&}VoDeeepitu=ic*;V>8y20FualQ?#r8#Z1Gxsjni%`o^
zzzV?U;@^M;t8?Zvc~ErE#pD@}IW|ps+2{ga1r>Z00yOl>UBLBvxqLrCPvx=3?Anyr
z2bnRjR3@O()=(2<DMP91L?YQ1az@){o;C<o4P5l48>J4NM9aMjWc{p1>qNtYpnh@0
z&e*+)p{`<Wy1RZiG-H8Gr*-{gmVE<;19>5Cv@@k_MtYj-=sk@H?+-F-=o+tAk%wXj
zzHp;|#x9S)|8DI#eJ-QtEi$4W4=I>vP=aMVB96gRLyZ#N%{bHRp7?U*&Q4Ukkjwmd
zz_tHv+;Ee>3Ct@WWv5@hbgdk4xzl`bH)H%RcZ2sfmzGJ3DU4PW5|9l6MlwZ$*=E;z
zo!*L6@4~<k4#i>C7LBkc-Pck?pA%t>!mtsA&u(6cbj?#?7F8<7udc2{e($gjHUjJL
z>i*t4H<B%1-};eqpXRH%UTam93WMam*xw4N?)DUrzcK2(CGmgbwI3{}a7I4fu>tP6
zrzghr)6s5=L#Od*wOyGCkKz#!c|LU-iPxdKv9q(I@YKl3ZOHcWVpGSD5F3<poh@%8
zw7^zvMx_$qK0XXpo3u5q15MP7;ar39hgBx@j2>#Y0Ub_Z!5TrxAT{N{?irTn**s~z
z5ATrf<b?uG{M4B~F%B{XtFVGZTsPX}s5&8_zZ@wWGEW`z380zcboYrT2)JAxSwC?x
z(GvTUzl!-HnngacG<Ts#u-?Uyxf!6W*-#KzrXbA8_rFYM)9s#}x9kQLK3r?y6_G(l
z>J=;ps#m_`&Mg9`PtRdjyI{pO+a!`kvsl4DBU2Jg1yMsaUMMOwW&K(dYA(&PwOmkX
zI~K^7%>7o(vQU07veFI3jPPb=Z%aZExf5%ggt-qPV3i!X$#ETF4|m&FDczK|I#_M*
zsx_Nze0vCzYdL!K>}-%1)gO;Q;Ty>2o}0fy^VM!;YBMHx08~F*B|*2d-BqV#pGRW(
z;fsuF3}rLW@937+n`pK^=qzv2geDMtL`>%>V4k&a;U?4d!G~pxa;_V3gy{1kC5U2R
zSpvXdtSi&AQ9-jK7?>nFv)_HJUXZpW6yyx(E7KcG6k4Co5zoWDd9f*CgK|pAYt|l`
z{ykku`|Hn1W|5z~v%OTUOD|aum&BsYfBRPTl~_tUud_OZt_H);Ln}3a>Q^cwv1l`w
znO_AO`{RJsGy&u%gqvVecsLJsI-+POf(IIL)WY^3?|Y{tx7O*Gk8f80shMO&&Xp?v
z;Xuy3>!LM?POV~7BYv(m-K)g{LAi<85V{t2RhB3mY`13D2>e^JOizMdjC+|5q`j8-
z8|p|QQdA+8s$6i-KIi^%9-8w?P_>lZoh)gw^W29B&<$asK{+j<!9g%4QPdyGdL$&q
zzHcEw2_5NaV}GlsfBTZE-yQ^-yW!y*h@>3=;kq_B<_oPpiZ-vU;~#^sA_uYr@k@w%
z_0CJLiq#YX5y078!tfRe6-;J8SyL8iqk;}QN*%SeYC!=&_q2RO(fHdjU|4$*62?JD
zkhvU}+g-HW(0_}gm$Uy&=*Vk$N*s#mCU32STppDP1f$P{lErzPjSuf*3EEM-fk>$k
zRE=iK-bJ5Knl#1*^UaASWkWt1=mYXJ{^>p@R2CtKJ_gau<^np$%~tCXq`?2{EP<Oq
zqFcB<D4{pjj@ArrkYiHn76O>C$&<VWgzvC!wxAzMmih91uP+J6Z{u2nd1_vqKJ?4y
zJ9=rhH+ae^WJ{(3UExr54TVlbQ9Tq%S8|AtV`mdOj&W%eCeo@+zZNY)qR;as8F(q8
z5vB*NvHbI&2t^>1`+)6lKzz=@L+QV9R0=8D994Vb*}Psz<HX9A5KjUca4mPOYQRls
z;zi1OwSM~F<VIp1pt4NDiWWhpF;?cz*HYySH$aEEiqgiM*6ZXGu|>pDz&PGo_~bS+
z`~(=krFQ1PM0R%l)`5z)6r&7{%HV}rr~O$BvIyRdwIZSQXL-bT7e3E9l-~X<jS(@J
z`U746zwiXaf8E)Q|Nrj1PMtLD6fWJ66HGAQpax0`r5XMZeXTLcSRLDgd5_mcQ7Ch~
z1t>_c{PGrh<laJ4n<C+73Tum>Fw5sdmcsZ+nq7gYzTg1bJ3a72W8j78K5hEo>vdD>
z)W=Y8M@<%>ua8cacmLey3!b8V2(ah)iHYm$_xYJJEb4__tjJin^XC$5cAjVkU38CO
zG=2|$UFxxW&h_;)N+Y2{sd@XGFFY2Of&)?Vr1xQrW(Jee{$aY}ukPWW!xwq`JbXSN
z<h?@UW&a=_A+{~S07@tjoJX(qL!YE4p~8e_Wg(W>3q)RDV!_Xk?(`H01Pd$P<2Tt^
zSN<?beqgHO#Cl>Vt&^%gGBT)R-09otmi`y>9{+Sl|DkD-e|`F2y>r;sKl{`_EsIYk
z4EKf=rar(Ps%^7xzZtEcV%!|)P(Z)K9873YJ%b7k>wuZ`enAQQ$Q7BjNWPKI76kz^
zMBKi-yv&D`GC(L=Qq{J_vsIb0@uKw%!_{(tM#CQ#r{DZ6n;UKvclVto=(3SSC`9_N
z;T{BLSq{P$3gkgyIZ^V8v2((#W$*in)e5VUY%ovKMg><PwS5z<Fujpu>~C=c!AMv<
zZRjw>%VPnkroERjtS;y2LJ#Flqyojf2$woIM%RWCUni#XJIs?BZ$Mikmb?xm^0Cq-
z^kBC*h)2|#wyQ+NHug=~qvLNkoSr#PiT4C0<`Ry}DVs}^p1ua2PUSBfa@Qk3$huw0
z;Cf0dP>ngADP+2=msjFFs6l+#)UC&T^96m&fg)a9p|A2#>iz2KOrm{#Ij&ATBGob6
zV3RLdjG7=XNM07Toq3-#s`;=?{=R#=P5Y8)E$Zs0XUu#8ux(dK(`>CHXQrGejXZGK
z%@cu8%2bNpb8K!ROS%rNl>3#IC?eI%5<x<9H-jHtD8;bgB6GA@Qn$c?+Es!!HfSAj
z>}^`ZrC$Bc^sFMw#X+C(@W)<ew-up%{D`Hmwm)Lo76{bOds!{^<aH58ml;mue2K54
zt6>r=o+rXTw4&=tuc|()FNrC<AAN^4HIIL*$>sSRbXt$el>TVv@!{sS1ZuG_<S>N5
zmb0wK-vtlnnebdrId@_HrA=R&DS^iMqcPpgli%7jJtJgm!_^(F2{9nJ*F=X!Mdf3v
z&xhRt_Jc^Rrtg`S#SId4y75Ph(Bf3%5gG%|&O2;IrXh!s4=xYbTON#u>7Sbp{pc5q
z^=<c3QAD$V=o{yvng~QYRD$LTF;jRI-8(t%Lr?(Cm6&5V6UwmMBv3ts8tD}=$DchR
z51&jeX9xmv0Z>MIzfLv<va6<6?V7d1c2AH?Pj&#51Qn=3iXmx$ig%4{$D@7Yqv;c}
zRN9i?D0xo$&50Rxo67-VZ8B#pZuo7E*!{kBw8^j6O%}fY4!343JL6v&hL-K0ay=p$
zOH;lrTDOIk+r#_Jm2QUFK3Ts(p0WP$XMe(q|7XB>X>!rD*Rg0fCwGuK>cnJE`okTS
z<~vcLNndz~R-x6PkyssLkUm?LO2-T#)R<N@ZhE|Q(00z`aE10{?KQoB6tSkKWS`m^
zZYip@N0uG8Ram#QnMvf(X9$lp%ccPxr$=K1gxsBCg%C(fVN}wpbZ{{gg!k|NGu8hE
zF7SV-+og%}=sqSgWn6eadpmCb|1z#3sWPJQFoq&ptF@R0Of^j*#EOs)-U!zd)1sz<
z-!9g4mSNc01%d}#zQ+4+t5+yAGt|(bza*G6pr9R&wr^QV3>cM09|OymrXXP!5l%J?
z(}@qCczF#R0km7j0W;CYVjlQL>z_THE!TuUYc%DiQwjRt?Z0=42WX+iB<Fg0X^9v5
z-cWVP$TVKxM|_x)=L}YC4)Y$DRi2!YV<hiE3GZ~REZC_vjKaBHEn(o{7BzQ2QZa#!
zGDk=)uEI!0B#-uPyH_>H1R`z;2xC_U<JriiImjeTrw@#Yc@uXEOH-d5O9k_F*GX67
z3ziI{CJ~rm7U@c#a7%5I1?!G%h7mmT^4O-O-?9w7X^`tRn`jv0!k|FJ=Z$xEUd}NA
z{b~zISmqJxy@3AtRG%eXj1rw@&9`JDoKuIJ!8b@5cdii1;T;8oBYXng0*(^);}#bt
z9M9&ayYbNjMzs>e_LVd%r5>=y3mV(m!UZ$RLpwj=P1X~r5V)i>h`Q>FO$h+Z-|iKO
zZUm#Rg;wO!3Rx*G&C@XL=ZhqDJ;p<0Ssq<@Y6adYEyOSbv|oZKu`mytu~2q7i)BY<
z;@9xF{)#fM3amcS4@>oA-N(n~F5R+@b_}GX>b91<#y7uWdC=6{t@HH2;%=WVqK`p>
z-yTTvVmcSqvPnwV3;%2a<grMABNFcgR(<$gS=tSV@sfY@n#PLM`ON9zA!PFXrNz$)
zx}E9-(+ghKsZ4ZCxEV?A256m45I*Efu3}|uC|pQuaR8kbYv98s=+}18pa`b(pU1#V
z8YcMZ6Fx|77u;E_e3XZ<HEA*tLWj^`gh2EIw4jO3%(-?v=)8j~zhGrtn4IJK=fdo>
zM^%vEYoT?`kEdrwUG1I9id`2x1xtP!!-w%zf^~Z*d!2fiv&rBkO~u-T^jN)whCv)i
z*JGy2&5eIhW3&6q$Divy6n6h(Zlud)SbzF>$Fm8|O2r_Udfv@VtGOghpur)ecGsdr
ztJ>LWU$A12_mB%sx`!$p2ZP0{=S5SC!WwcA<Iq6+<M*;ztX;I5oL@<~2#ApV+l)C6
zyJNi3g`x(u7aP#z6}kXzrHQ7+Yu!hRgRP%`t+@Z_LCn-#E1Wb)NT-%V?ncdjgp?i{
zZ=wl&vV6>~nDjJc`vR2F%0i&oW(ozsA`$JYSfs|`=HQsVAr>oQt`_4k#J5x7InYtr
zjQ&&s82M#-3IJN|AmPdJNRtS@G1+nE43_o_W)0U4qll*%1Np*{uutM#>a>xR0X9q;
zH_b7u0-M_T$8IyUw{^ypSzAVK0v(^Yb_C(;6JyRtF-@q-dxRn4H(4Z#U}*QhcMBjr
zAui1Y>=Y!?DLb1KRg-V%{R-jS4|*j5YEl8}w>3Z(8<nyumO~;cC>m&-ksv-q^k(-c
zrdSX<y2T~#VeI_^_g9Ea57F;vKw|(}(vHJzbnXOvLKIV0x^RoAv95{nn4wv$*O&Cj
zrn~}9JjIYS4O3C$4-Qv~LEZM)XY)yJi+@rpR&IQ#eo_U2tK>qHV9+I_9HJhb+#25W
zy&%FAX?I?;N!x?I(x}^e17U>`ogFdmdP#cdG@)ObZyod<%kV8FWaI~HXc^1Y?||C$
zZvHcIO^%HIGs>gi8z!AXl|<@0st7JS@wx<@+uzIub4%UV*GI8Kq#_%KmQtF;qjx;%
z;Ed?#gTH!BVZ~l$!WE7m_<<(YAjJ$~3%-P{>Ijg#tR;yL&JKuWXVb`c=IL1`ct~X*
zG5sQlCj4fyj;&WRn%F;wwf$RChmn-?A$ame@*Aoolsu=iGQJrKg__WhLM+9c%mr>g
zpab{FkO}w?aX7+SF4J`8BK`f&+>SZq$B3Q=uJI2~1LXcNc`F@{ib-DfRzpj}2{MGG
z%;T|1S(f(cvK2%4I;8ammXu&Bk&P6aL5@B2GtH!oeN<FXLW>=f{O61?3ao|>%MGV0
zC|dmvZDX+*+cd}FBberQ^Crp};a>B9TqxqZfPr#MksyiTqQ)2dyt@|Gz?b<v!SYwg
zP&e5XC`f1m<e%1RG9gml#9<AKnQjT}WicPiz0O^E8s#0d7}?oqH;6GyG=6U;B@<LS
zT%KihvIgmZm#$*$iF&2H28^mjcH?2UFbRM=IpMO#NAJUz87!74v6tJuNK(wy*dzud
zRZk6Ce3LuFjL53=fcO{T;)DqYl2TJGJAm{=413G#Kc1<3PN1dz<hJ5;)(^~<m0+3}
zIU%_#x3OnctvLGq`4_&Q1F7ZYh^n@u>sT$1U%8pJJ-7bfGGOd1{>R|)x^F4Ak!*<>
zc-*<n;yRLQ2!dT^Olg#^mXkT6;n{S@DX?iO^5@GmT!mtD4w9X>z$`SI>A;6$Jj~z`
zX;}!7dl8L2)9@tv`GKUSL<3)8<c;TM2==K@yFg*=1e_R^equW`5#9nT;H~N#MniRA
zu658_6gpsxh@@#Gr=%VPwU0<#icg{U*;<ODMUKeezh1n#*&SozG>T1nLl2FMlW`kI
zv0TAoQJb*>yvkC&6!esiqHj+Tgd~(kIM5(}3!2r;+V((mxt2?<k~N(%QBnF0qjXwO
z?MP`N1U!MtVo68O6wYF0oSU>b?2-!49P>VQG008PmKY7KxVVCvr0i@+^0nGeuvjHb
zQ074@#OC6*tIZ(%3#)YF_m{QF+e4ouYz`gHqBV?7F+H23NF{bL7`GOM)<T6xc<;fH
zMQ#HIkec})`iaG&p<a)*c+fx|Nx^g*`q3YkMVJAfVnxFc$z=wPjoty1oqLi<_}lEq
ziVy(`Ys5-p%aZs5m5UwuG@8m=aJm-y!=Tkywyq*?PC)BCIbsH4RfBQxVwRzX#s)N0
zlom{Z_u&u)8EO!#<G>#Dc#nFiNQG58AnY^&_8s6&xa_QZnr<J2uuXDKe|JNC?{$1{
z#_Ugwf*A9hq~0gdKF#uyq<!f9IW4Cxc;BC$mnI1q5@;Z%SoWj&hT}aCKp7NT2TVu*
zY!XJ2+KqHHzE>z?(oh=lRl>(G@yRJL`MZdpLvlyzEYsOer`rUP!(GrIFQBOlI%320
z$|htg$H`13RdwPSq+2vBQ9(L9^bkc)>Z4^!Ih_VtDQ-{@gbrV__Yrcs7_%9Uh&H{T
z(PXd-;!nDNB9o@|AO1LREyyt)%GQGXkBa1Bng*`@V*u<q!8qGww(5Lfn3Gh@1-~MO
zW1p(b8X!$e@(bua^uS)w;A|T7x=p0Y!@XeYjynCM%kmaj0+*qH)O}tBN)u#C^Kn3v
zko_A%&?~1=T&VC+5qMGWa=6nW-CsRyf6HDxu?*RJ?k~6=vUniDN_Z!3-wY?~kQ#up
zthc}dT)vU^W9T_rwxmok!N86k00@nr2x6Ys5#d}|ZYAdBl#%S~zQyq}i%Id>gh2}x
zIO#(I3aEs#QE3FA8o=a_G`aBjKw`Rv6WJw?u}e(A{I%vZ2?4l_(@!|Q$a&2)nc(Tx
zcZY~TR11X!guPU^tw$F$tgjrq@Erp|y+|aI1db58N@8?K?k>}E*K3ikG?E1)-Ndj9
zR+d!wv;|5iFg9$I#JwvrKn16UbQ|*m?cc3;N7#zPNhEJm?BUbHFQwD2F_H#aO7L`&
zSvT>ma&!_HgDi4rbVLpl0P{%dfB=ruP+Ca<Nbqu>zJB#?2+Hax82cT?Y!b?`iOqu2
zsI>^-pjTc#`{rx}@IR;UC{JZr?}MBG#ZhyAnE}L@Dx^we5<u`C{EOfXBLjK;$Bt4o
zb^1E1Wnp<wSGAF<f~F~lUx>Ty{exhb%H)|R!ZE=7q%O!NJwS--!#s-dRMTPSN$&9w
zF+sZUDxPfXBvK{0FV!&^$$>>RzFO^>huo&#HA1a&IxL6R07k+hn(-hee$sIjO#~7B
zr7WyTbpqJ(YJF%xQQamm%qL)sB)~EDLmp)uCkaYo2)KHX_a%e*?Iz3Y@<<fTzUaz<
zc?w@)OhazC!Hdgz5+3t_r1NYVuhM$88^w$&vul)2+1WZ~QPAMS;CO7*N5Y2*fox}9
zr`|pzt-Iqn3^i~d`v8i|zrO%gWbABcHi|wTv3&CBCGrKe%7l-LAeiiAu0hF;0t3$e
zKsoJjBiRjZkOb`pkBu^I=mH$YV}c5&*KDCcTXl$0y}_<C940g(DbMWyk#osNmSa8!
zC=8}$LE3*QCWu6<ClMX-1=Mh=%n%XkNL01r*cVdz2O)alo(Po@E;@+dj(fqMNT>-(
ze>TZfB9i1#4j%fMP6(JQAh#8{Aj~<6^yr)st$eVt2vNhzC=sjMB|s45P!_v!ahAZT
zA0S?K{-0EZ%<%|NDGAF{xyi*+u+YL_DuKV_b0V2T%x*Pe`YPPPfN8heNvKYPvXyQ}
zdxPMzd92u;Z|Lvg@1G&s<1&7){w(|c<V2Xpp@>FTO==tQH9Z&_k*?o@U7ka37Q3HL
z6szAgDR7*;`iU8^5oJ4wiI~|!zgJY@QtR>m^iT_2?jQR6kG4Z5LSG8y6cmBXM6>Xw
zze7#59)G$mE$81Y3-t%JFA(T^{;gUb4W!ZGEmU)&Khcv^=qd&(-juA@$ukwE)N@AM
zWhJzNyHL;L5H>R->~}6HL2z=3q~kq^_ekH4$;5flvPg$*L2I9|=L`liszoeoGkG>m
z_Rxuax|T^sZir!YHq^!C4uF=;9@FOE*G<HWjb-WMc1?xB23;b{EFSGeJiH>?`Iybj
zAyQPOU(zTRO(rn2RygTv=Y+tGqtL_IDU_iy^?Ud3ogUOyjHr;*Js6D63+42OjbSnY
zQ<65V@@kkBq%^_^wNNh>gU>?wx0c2pfVqRa@PZ>i(6WHWdUsWv`K69D9TS4lmjgKc
z<l&p0%NjAfphP^-FISvtR%+~17L8a_8Yi(VWn`M+yW=*Ch9yZBhbc5+Fq&#8j~+r_
z-WaODHzh&W&cJD`byq<yDQ^LO>DjBeLPNEvu1w9X$LqzFKv@UNVFWmf?#BqU>0^}g
zKc$`nADCzfn0T>65Q<b8t|N4l^Ty|rQlzyYjxESv;s%YWk8()SHzs`a&h>-fnMoj|
z#`3M);%b6h(#PA<bI@l|c8Nh=j}5phcdEOthtA&X1gQU}a4(`%+WWK1mX0MYB|Th8
zAP$xZT95ICn*M@HkiI>U2jXswq(pQ@K)%_C4GpO|z!_<_1uF0c8TaIQuPuCK47i9C
z+{5JANiZ&Dy+mB~MlH@IajLZftJp|to=o2qhpvMHh!tM$>A-Q!0Y1umkYNDJdMOIy
zxHXG}12lt0B|IHI2knqAjdx(stK}O{LAg^WEKy^!vq|AYQhB037-=SE@etDJgrWfe
zbp+65`2#j@P0C{rQL%Xy+FMBs{TOVvta?mxKpHglVq@Ocke0BSWNuxUGbHwd(IbN|
zYz953YY&jaX81zX4!1K0!2^X_V=jsYRI`zXcqF4kh|5NO<qtB2X4vSo10oXC#%uy@
zi@4M*BsK+%l`uULu%utLeWfTDN9~nkj3Hh7!vpNm0UY~61E~$3?qf%YC#72e+RH^^
z^+pk7M5q_q&0gHT<kl=`F>PpW3w3xB#E`w1JTt)&O)~YDB#1!-3lebZ!+BI3iX@<<
zc{BpU#HV0-Uyd*uuK{I6ZX)WBHECHG`*;Xet^uRVYA}i`nElklTp#I|Hy<y#&-fIw
zn>S@|II(tn_zr;M4f;P!Vd>mP>-2u-g)r#h9*qGeiJa62IB>)<P#2%rBT<#ENI@d;
zY0mdgEI;XE;O1EEN7}>({Cw9LhP)mKozu$SI%5eMu}kp*cR>p`TjQ9}ToasJb-0-*
zt?Gqt!6PN1H--+*85CMS2nQR(E{i5Kskx8rtM<bId$%%!qd0=8Q#W#lv4Hi5&FHMv
z9y)hHRsA3c#vJr^waxQU5$2%N88he#;g@y|H0?RuoGieyZ^}f*Y?Rb%K<?!rPwJZI
z6OWKANdgX<&$e}>C>ACA;rG?}1Omyy4~_-UEnD-f;p#b51AUN#MC`aD>{D21y&!UI
z|F}78`-8{eAM1_~%Y=R*NMOiL2vI{6T>VX10?;JRxyf7=qmO*a<<XoifGQVt)?(RC
zn)kqWc(Ku;)+JiJad@>z9Ll%`nr4K`Y*h@jX3R)8kBA=v6}?nWozGf;)XVL`uy+%U
z>UQ%94APOM7gOEHd=d53cyO|Cu0pQj3Xrcd;3OA0r=r}G0ms5)gWa$v9pH;n8cd{N
zxzy%P<dHO-sj-$zXMQ60&omiE13nmb<ouva4a{e92Z2RQ@9YM-vPgH37|QH(T5GQW
zAzX9C;aB0KU7gJe6OJS$eZGWB9hyMr@-Um|_@K~!I_m-@_@SFL5k=zWo<sNBFh_aE
zGb%c|0OhO~8^Fr|vG+jNJLHM5&YO^(Z*i?_G(<=upzHJ43hY!wB?q-b>*d3O`qCi9
zoNCQb4CPaHSknpSs{-Ji$HvJ$IqJ;^{b(AnzjO2$+bqvHALI4kuHF3#hsJq@2D@#e
zkp}(yx{qTxlr*TVu%@#TVGYMNHnX$of}|c$)*F0N+m+S4f+j6&`A-+8y{;?7X@$;g
zE)lTQe0aQwweBn?Lr_zOIJQ5?YE1y788q590F_Xf^TT$?H;d}td3L%Z&G@vq-bjRI
z_DPK^zV$$p-DLLz(>}#@B6D^e-O+q3@@!4poy@qjK_`ISo|Ia?m;-cK>IxE8cvnkx
z%HTJHz{ke@obxin-426rYw6)ZSp>i24m9v$GG!Ewqwc?aa1JZ-2_S=qCut9=2Od7Z
z&L$qS+8+39nI1w`o7ktvO4>!Dp>uFn?Q!3-w<RT8T2eVqL1zozXa^syIrQvo;~ayb
zpY&hr`(aI_Os{wr6qPtaC0%;+>&3<8!Sh(!Nz^V8-nB!^<;_Ey8KKc78uv$3Ym}`W
zR^>n|Z;UEFd#PFE-od0RG^$TgoPD6xgcZF@aNcj!csd=dKeQLnM0@Y*DJ)SU3A;Ce
z;f|<;NFhhv>Hz<~XN~3vNCc_J19uV)N(YCX`wyIw)CLGR-6q%Yhw0h*EBvtN(p+oE
z-%I6V8|yc?Ha7i4-G^!#_YiHL!n)WEhS|fD3h%ar37D^F@dId)qf;*TB2HPJ=s;Zs
zy#k=KkyG%Q1(#1DzAe=o#Q2X`vE%S-GMk2H8+8rFlo#>aQ<Zdv>aMew$UE825JI3_
z1<Y1=1Tj4&IdqT^^d!S*fv2G2oK5YWRzg&C<W%)0Oo-^+TOy6qz1V^?(?$dgH{oan
zIvy+6_8@0Js311ZX<X2nnq!UBFkCM<Q66yQtr-Sx!{!uX;IK>BNp>^qbq{eBf^=dr
zjl@IZkEsx9zM<9N^B7n`3R8av8{(n#mE>+lX9)^h1L{pIlI=v(tAL15b~gMaA#cI5
z1K%%cE({LFu+FIme44mCFBDW>cY6K(T2kILJbUGU8Gg}(bV`Cjr#>8ZAMi$d&4*@;
zxI9w#(2(Ql#B=FTPuNXa%38<4iWq)L%n4CKT+Z0s$J7!g2?nJ=BHf`E&n1)u;}=5m
z7+#e{)te0BFpo_q12A<y0EEp;Pr+c4u*+bkh)$STJKVjf7@5J)w^<g4PQ(F`tfjLu
z16<m4Yja4lbF%(rBlevc<AC&Dp3GfnSTgb<4v&1rv?i<p_?j_4?>0VM=w8ZqqjM4{
zFH$e_j1b?G%0)Ulfybs>wucMqA&k?83jmN%ruEUY=2GECxX?%6{=gZbnJmAH=ddRt
zKVsa?8ga=8X9FzRW_yeTPsn&nE_23l*0eIsT_BgpA?Gu}S(heWn@Q3P?R;!rFMq<m
z^TwJY`AhXfT^qM?GQOBSbJo1I5x<C}d945K*v5J5E^%XrRvj%We{Q+w`Ij><8lJfD
z!mv-Je0rsfiuS-1`vvV!<Ac>w1s`|Hx+M)s`{(QF>D?`EY2fqaPiOvcI<v0V>CT&1
zEiI-sH8nkbeSO7U6P2Q3VomMsBB=+(1qB6L21oJ7peimU#sBo_(}F=?56P<R-rX=h
z&T)2jUNZljqod<+)$FkwzP`S-TUW5Ug(@hvUukJ+(K9e;e*b=DwWV}!ZmzGNpHf^!
zUQv;{l(e*sn_EzQeSJ(&U_e0LiLH4Z9To|RiN%(Q#pY5Hva<gD{rv#}0S*2Ak`WOR
z>2kF%U+xSF4leGn$6F*goS-vj&a}6;H+=fENl{U8qQ0%7wzlxtmYmX3&8B7~9;?ve
z?6+?<#Kgsmk8K(6yJ>JNUMDFjDf`$KrI@nZoE#;cD9x8IUv8F`_Q5Rbash#+&d!42
ztE}$D!_5Xl)2E@f+I~O^RV3p0pQ_N$rPu#&|BRhrIY0k#<=+$r1hE<{?k}o8NB?B_
G+kXRhHtTNy

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_static/images/missing_value_matrix_example_0.png b/docs/0.10.5/html/_static/images/missing_value_matrix_example_0.png
new file mode 100644
index 0000000000000000000000000000000000000000..21799cddfe73821d7ed15fe29b805df8f2e1879a
GIT binary patch
literal 37730
zcmeFa2UwM7w=KFr(OA$VipGk@r9@Criip(2SQe<D^lk$b1e7WrHEI(3LO?)@QAE0c
zbSYM(E=7uTl_nsdAib<R=4bxB|8viN?mqkM^W3}7z4w32kHWXU@_z3-=NMy-`SOR>
zo*lw77tds|Si+p0zwTqPgz(oX`QJ>#7wh^8H+)fW+GgOSZExx1dceVgwflh6@niN*
z$BrIc;bP(7c+}obMp9N%X5ES-PEN-iw@69Z{>uT9_6}B3C1JnvaFQ9vcN#jfSj!*N
ze*$(domE&YE|2r;&pIb>er#}iSgD(%I$3SGx#XKafBL3uO7LAX!S&PgPkp~bwqVzZ
zo!!<)t3&)vMJ6nw6<SgY1y&cw-u<gp$4F58*6#{eH=mmF*NxLtUU=^3Pkt)q_$?}{
z8S^};B6_9&<T{n`0mH5w-L%nz@jP+=;#LRT3(NNx>wO)9%-=>=v8K{@1n05n8)~O!
zumtcmB7dqczOc0R3##D@>!%F@E9mR|8?0~X>&#uOZ|JMgn*UNCmy2~0h+EWF66ANH
z`T1&2m8olktWBG!GVXMLsg|*Eh-;IVJSVxqr7qH<I6!zy-u!dZHrmx^eCcV(F1Mfu
z(y6$y@lbiJe&V#y*9-R3cYfL+!8-bFS3<U(sYl6;jUDBY8bYx&Mn^Vl-`y2mw`ipB
z;+<RH;FxgFcJn|<)AD%Z^qG27aD>((|IG^@{o^zOEAXxV^avWHs4t}R=;S$M-VBnl
zvK;-=fiHU&tTWK+;6^->wXKz1Z=AMkY_R+F-Q6MA)g#pdAN(@a7az&rx85XUgWsCn
zMIUQYBur=O{Az1!+g27DGFNqcL%dOH(YYmdH`eT4%zJJmumZ>5|FzX&MCP4&w2nGX
zC1D^U8z(et!5tGxF^(lKER^H7#^Uy+P1dp!0z$qxJpcRBn+hqC<2JPqj#iobOgyly
zOWPaoeOfp5_`AoRUtaBS8|zL_+5hNtNtm*tj8)mLx-?q}(^`km*&_I~!CxJ(qpDM@
z>4Wx7X2S)Gqi}(vO}Solt}GiF%aVKhw@EzjHNe69|Dbo=(rlY|$s%=LMPQn3U6t*a
z?XKRZ^O<R^@!-RQCOo~-NWtPnoW{8~@7OM}17o4H@L`&?aaVD*_5fqM!XT@#AQi9C
z!~Lc5JR_TU|KQ+Yr=EHRud%_>)qy75qp$DAmn&^OKWBHej!{DRt*z%1!sbrLNz^Kj
z&pdwi;v$(fJC?h(9PG^*>&afE;Ba{R<)uO4lV74n8hX70rF=$;g-uq{MYpYB#YJG6
zMVaS$chsa<Wx4i-Nt$LIe)srnkdm8&UEajt>?NDlX-DlT6_~#C>c&IQ4`aB@BS$93
z+f}1%suMIGHeq7vE*8bfd^=a+5xgfxEz0k3G#>iAIdHx;A-kt2|I`#2`^JYieI`d1
zZ94Wwyfm{lz}T|+lDt{uM!Jb3CJ(3F|7Ahw4=J+KmpN&r)mq203s+rH+Sjz2X0(=?
zV7_>Df@wCp@TP*JxXBFqUekhQZ6k%tJXdYMcuz6Eze#wp><8`Xo{c{IiQ=1w_BQ=|
zW?KC7qS)7OADz(__b*SkZ_2W{FlJ-ol*ZCeT4?UMQB!roiF;?qmF52HDXIpvcB&Na
z=+(*kbF?ze(V_2!x_;8H?V+w_gEdy+>VZG|f5*}bGEA{-EtPL7X>e@{)sW0&r>3TI
zxH4s%5BV3U^kg*my}ux3*;x@y(_>SUXaC34YO|3x`Me<EO>g%57vTNu7an@0Sa>mA
z-1OPv?mxuBUWoFC3zi<w7x0%nEB+%ZP7trO^hCk3^rvG@{K+B5ioHAH`;_PzZ8SqR
zt;c*XZoZ-#RxFvlPIat?=g?OumiXn3pO~gu=fqm=yK!IM;8F6EojWVm(kpXo4-K3c
zYVt`kK4&O1gBAN`j^f9wHVK()a@+@uB2R2;aC*Je^V6e|_Y3oGU=oON%-mZ2>v8?e
ziNQLog_}1Wiq@|6S6Aq`<ELkRd0TVBjOXF6#Fm9D^yDbY`VO_bmTgjvZH%8++%?O5
zXQOv^xvtvAxIAxZmt&E!2F|$)_YZu|(OOofAXek_`f#W-*DB1=y(zw3Oiox^?^#Jm
zxKiH5yg9K4%kS{zc@KRi2EsPHGauql^gi<Forv}N^2(~!N>x#UUX^5?r@>%t*VV|f
zfkuzwNe`pl!Sb4EHFwK(W%pou9Dn)q^wwGC!@qD34}Po(+I-@mH-D_Dy-cyU<l2tq
zLE#f0t!nJ^CiJX7o|-bf?aiSp6T3Q_5KotS55LQ75A$&N^k}-(<oL))nQN}!lsTJM
zbS36Ziu>ICvFpuvsMFCy9L2cgAb-jI11HD2TT106Oog;|drGnR2}wRuC7~hf46d#-
z8U8%CaC~Gye(<zVc&OEh>IEY$O@3SFD9Fh-o-}Oq=nWrfmEslKWee}}Tce@EcYgOc
z(kCD)+*|g^Inz*lWxu|g6B-;G&{6B`_c5z0SK<BduU{uMXI=2>DHPk$a$S3LHOG6R
z>mAmq{c_JwLyI<j?A&$Z(=kil<WF7k=?6x?C~PQLJ~k1TT2-qd`JTUM<NJj15uSYO
zvxTBO#omX00qcz|DWFV_^@iK~jMa6#NotlZFz{0l%9!c&;pNIYyKLJuWT7vel@dFa
zp7`~g@REQf_768EKI~JUqx30%_OdNbk<ZO+;!^{%T3ittiZOH{EzLu7=PZ&w9NFfE
zB^@w|ka)v?F=Yb-6@>h<qyleMPG6A(ul3P%d(-F>3nWc$Xh<roZyJ7Xm&u=OvM9P<
zjqp&9SbW~CBQnZyVqjt0+cW7eFw-+k4uyL3R67pVoVWV;=6v6y>Dn@`JvVm+f7$0f
zRu|ru(d<%G5v^hNqoUX77?#>liEEzX286e6x)*8Jo_f#Wcjw)(Ok_@edi&+Wt5sK&
z2j8fBRmq)Y-T%{TqRX6j>-_TIv$GbqJ$SvR*dyGeI(u=bQ#r?Z<+~TxB+{298mHT7
zOdz`!cdlDRk8}|)bahukogBxZJGI^Fkyzkd$*6Gt_*iClnmL=3<<h`b9e$K3<MiRi
z_-OSLtl%b2ie+j4s~w_kicK|AQaKO4C_l}c98jQVkF;+(<50NzNnc%)3Qf{ndhZ;r
zeB+I)5(&d)2g5_<?d|p`J11UTHl`K4$u@XmaLnB<cce{e@XaB&mTNm4-kn`&8R}eB
zNbgr*%Cwe&YIE~<ysW$5vh*^i%vIXJk#=k=8Sl{ai3wELf}wM+G8E(VSspSAoP)=?
zR6jX3w`iW`_5K3YTs_x#D_*YK`#&7QPX6_<q}}+zk)Y<wV+Xi&(vt8=r`Iz}RS!JQ
zsCRm8!Qqx}s@s$|*3jhm>5*8wV|bT;nDQ8&FjFbebg)47XgRyTomYIt=i!%>sbOA&
z_INoy*O7tBzI4fNP<9{R;ZkD}ZsI-CP~+A<$>Cx^1|RY#v%}p6v$`Z-%#s>c?yhxy
zAuO*HCOYxq`O*_lzpFVK6`Bmd)AliiSLUaw5`;X}g6PIWfSw52IBo9on+}=d(P#Ef
z7hZfFD5ToV!}jcCt*j-&LwZjZzgE*coRj8v3XdJ}!<;Q2p2p=(p5v&@d1Y;56F62=
zXV2GNFqyY-)+CQ_66n&s#q%yNF!zi9$2|UL4!1pQi66qm!9SX9bDVigUF)sRWbTW;
ze*5xhBD?UkP^#Nt&8zS%Rhz0E&avNWDzx&8tBi+CJ`OLjeXzGoq5USi&^EmxAV_9b
zU-IY5T`YrEmCPR#fkXzR3$lB2L!z~#)?n^*8%Y6;1N7f^>knS)GtOso)@X*^@aS2T
zRnJrT{M4Mw4zU}}JeJ+PN8_XX@wf7wwTGUMTl_JRJKlObAmhUazgvwV_PKr09zOiB
z7qp-_T;;*x&V4qGUPBFj^h$Ubxy*`O8*zdC{@LAWb)B_!w&|uhB_~Sds_&Rgo?LVy
zT*a%?f+k1AJ3RY|n*C>X`?0Id`L|2LRqca#B_Z<iers}WvNeSH+{3Z)F1s+j{n+!w
zCJ+5Fv8gem;QQWGdw$|;AFI;f&(R({Rn@eF9G;3P(Cb>ok6P-{UuwcJ7HJ8+b@oyt
zYS-j~SoeQ9H)mO}f@9mdRGx^w$u(dWDNb_Xnvlck4K8C96W^`cUNP}R<;cqjo)W*-
zCb2a-D$J;J=}^6+rewz3(`-(xUc3X+R(yUGjb6-N+>yikKib!D?(T9^_8ES1)j~xE
z0m8Za@-juKL*s3RHu27rO^zBW4<1+)S7|(~zEhZYF#7B)RWE}=kKUY=ijly>RdI$A
z117HsyW7M(Iy1e!M21(g^88XR(7RlSZJJ?inr+A;8Oy`<87DG3?uJNPSKMQBcJJPu
zkl7Xtxa)Mb?PPaqb$OzBp6BNa<|Pz#yVILgLKS_+mkj&sn-$_;VRiO-Id%h0k%4Bx
z1QG_kwP@gf9IR>oP=EZ%6`7;u8kz6T&2r2aD2Tdy_nCvTaYu@v%A#*3dt7}qU*9c#
z{m?DBQcuGt0dZ=;#ITtSI5*VjAw`ovA!o35^<YO;ym3O_<S2m=31!}gSGQ%{zkFET
zXy1_KoRIPU&znx=<(fT&vld?gHf>wdv{|bCW`F9#{<4tF=F8^oFIH)qALI{qD^{g8
zA&F@$%T7z%B<j7no3ETcxNj`s;<ngXes{K>cTQ<^ZzzB0*7rw4ZXC<lSE7aIGwCRq
z{V|!r7{H6+169USrNMF<*)HA5HI^Z*SGUe76qc{QN_Y(8KBQjyD#eO7-s75Aj8_~S
z>QcLQiCxA4qjWpu#o)N~M)#USSClE{wN>hyi%jCK)dU85eSY0kb2x-uXz%T~7YID(
zX|9~y`s8=#jM<#Y&sPcpxAa_)Qt_{?9igaYJP}>5XWVU2?cEl%H`Z%h?vjYF2*%LZ
zA~rs)$Y-M3C;rP1z}fM2x!Ie$Yg3D>a|csByKT&kI}|WTzRzQU+!aPz`uit(MT3vN
zZY;A+pEwvj;W1DvLF+=_%uSM~EWajv%%u0(;Mfz<gjk!Qo}9ky1%Y>5dvnT@ExJmA
zWF*oXNAqetdY^E0T#OwKSqiPdxz$c}Cl#!$Ie4Mlj}6T5dEc1#Kx|W-;?3sAvowo#
zi0<a^3NKjhvBGD(x#0Yto;{8^{h7Q0qf!wuij@b>hX$|_hw@tciu3%C(j=4ks{9e2
ziED$i#>2e3U#awbgJ_+iLb330_Q=~a(Hh;^BW-o9Hs*>loW8zdUQ3rb|4O}Ed+H)p
z?_*(}4u`!5Q}}>HDdr$@SKCT$`p$@&nA$ssd-e&{xYUJm+3EET7MC}_SM9rCKK|qF
z?U#yPYpRC6dvd<LU6t>KC>wDs<K4NDfkYou`&3z%G!_xi`6l5i(=EH=^RBjsi)NSP
zMuocU1$7HT2)3Yj2T+{SKJ9^Rww`yNUy~JL%)Rs0s(RY5f5h{gQQ(jNyhz2<z|6fP
z=%!2UQH_s)+hgvrkx5^lFiv2P%E;-PC!YIS4BCK*<PPPS-|^wEl0NpP(rvV3M_;1{
ze^-Co`s7E`LM#JKr?tFT#oJkMxvR>f)VB6P@#?_(YXr)M8iqnHit=|hx_8ABHSDfS
z=UIl>1~le)ST%VK?dDHTbmfFSS7#K5mpg@*E6JXjKG!rM7ZYAH?Bv11^M6ccFLSM5
zuh^4OH?z7T#j2?_%nD@l{*#1`N}K9qc@r}Ow@&rNc;s74=WT0O57g?d`i-~q^Eae*
z_*T9jY1popHFf{Sn}V}((0>(C!$yzMXnYTD_Idwq<i3k_Wbr+H8@aCQ{hP8=8=vQm
z_1wyQd%78jY5PdCsJRALX{6=%n-1!E>_XrS)k=Pg-&k9(k7$s+XY)e@pSSEna5RVB
zoV>!^vE?C;&YZ6@j+b37sD?-0pE`^SG$wjQK?dPJ{|`zQ6uNN|mgh14#B>Y%=hbP%
z3-juKI<NKFVBTowcj1|vPJVhhd%2R+z``B3Etoa<pH@QtJt^w%y8=(DjMI+PxaVr~
z*y_&7slK?;eCrd9mg&qpKPEt=^gp40{fDH4G=<(g{^abXn>QdSXk1vZp2Q;hC%7Zu
zIs|Lh_x;*H2~&al;=#IEzH*gNqa1)fB?lV`y<A(h!?NYYwGp7q;HHTl*O9)!yocqE
zB<qNUI_*0*dr@C>mwoPtWus?*X}xo`slw-{^Be~%^`kiRf;Qke`O;Q<{MMP=V9(-S
z_q#4`{H=~wrb*dpp;_EJdo6wv%%9nbRW~}&6&R-Mao1z0htw{j5ruwY?Spmpy!!{9
zNQ3hdkw!+|mDc1v<{#XCUUmF{>2P}UWyQ9*l(HgPynoCSYvXE27HVrM`vXc!l78kr
z-Yl9}b_K$r+NvR*PZczm_SWW4_IBI=k%Vu=t$OM+*YfjLC&|gli6mH#%wS2}fmjj*
zi2Hr7sLPuJnK+5`@wfQ^MpEtJKHgwWX^;CKenIBOe|~K9;l~U6K0TQmr5mfq;hN>R
zxB5<*vlA#w+U4V$@h?%TrJoB#!yzkpwyMm>V4Rh)GYR>a(Y(VjW5dz%!|qdk;|lL;
zhMQH}f&L3g7;d~|6@QQfHK!miCcvgv;=GW1z`#aoc-{fEwYBU*U42vCg_G;cvz)t3
zoGW!XTzuE$#4`~Ixw*K;vo9Z0Y_%oDdUFEVuP2*$r;8Q{2_JiOS}16fZEaMU^%00*
zLJ~$B^}r%rx@%W+kXBP3^8$)n$KTEM*~uj)1;){TaI70Rp~gBkp0tm)xjw^Ny(jy_
zqjdWAkQ$}ZDCk+RtgG$n*2dkh?{W$*_p;r@IImBNt`I)@=yXeK;1cgf&D<gTYnT(&
z3-;?>`4?g4%9Mv91D&ynZSm=i>fA3KudSlJ#=dm;(E&7*%sjeNj{zb|D3S2=?8|x8
zIKP3akU&${i4DNgxaHj;lE0^}lD%_xx1Uel8-wq_TJ@?7twPlUlb}25S_0p>febqi
zHMq88N<`P?dOTlb75B-Yx!_8ojg*Aic*_J{ry0ffe6i~erE;c@O<pz-%H{$sq?D({
zv#y@2{A*kC=jZ-G*%0K8V(n~k`fxR1{gNh+4MM)U`#-$Ar2ttd;3T97zW3!Vo%ckR
zyY{sdI(OSOWUWuNAL?o7s<nUk`MG#$Dyg=H?=~V}-IMeaOE0na$@Y#c-Y=Z`Xj);R
zn10ru&p9lEXP9p1O&m+*Ix1tU)s<BbJ-?VWm~6Idq|nbsW%R>sk+3d5fgdp-tjZ^A
z^L5`woS9RUaiUooS~5w3m|~98<}AH|^tOfOOAqL~|KcIP>F3vVJ-fc%=)pZ39#&Xn
z8zt$8Q3C-3A$p)W%eGWZWa%fGL6BGlraHL^AmkV$2rQCjpP43XbnAp_rkGdbLpP0X
zMR4vcmstOkx7(7_gf)YtSLb*PnY}wfk=Q^ERBRAfK$)OBBhV1*CSeia)FU(89x9)y
zhhd#Nq$k5_vnrQ&&kU;+r_pEc%{KOptv@w=`Hhxl-yTh$(bqGT#|pLV49`1xItYai
zjnF~!&$I3q#b@_qId?;`^*S5YfJNU~EA{ZxV_>Pi$tq*}oL~BJAWJI;bD#%{F3u+L
zLsk9mO*L%OY?s~Ki%S(8qP;|+3b6~PEjf1e5^&hFKdBZGVGRMT9?V6ry3sDXTkk{7
zzG$8Fv%_Z>n!NxhO?%@FX~CdjW<Ig*$bCmw$5PEEqV^k>#9>SXh~Z`X#%Kj*_U4Xp
zJs$?!{|mXfqaz-vBfkFgZ*QR`uG$^4X*bui%eaa3a8+j?=vgCG>AC*wqnNT~o0~8C
z56jXc=txAd^j{!%I<^H_VTsKtgw`4iTD}gvvJ~%|UOTw@?nQFeI@~*V@2;sfaolZs
zHT}o5dWT}qq3ov8Z3|7WCmkvP3UVnN0!})XR%1!pnPl$pd!>O2Z4S5Bdng-#biH0z
zJ2ME$Q+-9gK+9?c4J*Y<%YLeYX<rP1ARKJNCbB*A)8kqFklk8FyApX6W>*0n%6RSB
z{O-5$4?9$i7!b|62hDEgNPjs0CSboj!N%Wa%<BVRkU@;o0G%t(bZq~4|H&K@?Hn-a
zBb~ddVrBJFC6GS+;_6a|7c0TCZ2F$g(>x5pwWA_h+kK$ZAKX@94Dx{W=wW7r<_YXS
zdko=`2~g(z0dooE?Es6~l7WHQd|!bn();s${lh3A`aUmMxq?3PzgcPNf9tx~|FWAG
zkwq#sIsQnfqbbh^882YLdZRm71vL)E>m4Bsv_gF|UEdF+w;3xl(|h~HACipPm<hc_
zmLd31^p&qD^}Vo4;317m<&8U-d5^S0@RTiB>bQ%TbVWslPJ}v5k;RIbRu92tIb0Ma
z+Fov*TZ(`X03y3#)`E2}z_1-_ECQKA0m8?Pk^c5}{$wv-ulQl}^Gn8^69_hkQ%fku
zsyRcZ+j(WVa$mD3fAjgJ4m+XojYfMQwL0cb4kTL9!qkw;xeifBAqpVc1<XS?%#|dY
z)~}@#B`TdzAYY2y5I%#yfYt($?ksblpl)H^#dOO;s4X0v7#)bU(Y(1i>9jw6@1+4%
z1nM&#yJ|Iz)-rWd4b*QAuG(=q&c;4xpeoj)WO8CG%CWsHIy#!uUKaWqRTLAaSKHk9
z6GQsN!*mjzh39>Bpqwmh`|E;a%-Fzz^UKnVo_j$}@2W+dv!l8b;9(okLD|b&TOHq?
znx0UR@vjAoiVQkS++wIvS?~XpkcM{5E_^gy^d|C9LitI0P{KH<geoFFmyVD0_Y=^#
z8)8?4ID2)j%J2#rww~Ov9;|y62_<hNRsCoc-{+l;Q^pR5E<i<R_D{bZbyO5vlv(19
zOZ_0QUt}>VV!0?Yh;c{~HJ|9zkCkm)WOefzbRM6!(LIXY*AHD*Sfg+5<-A9s_4+!4
z`zypi>DKJIc>@}HLitUW&7WoQO`O0@_PTWXyE4GWEVYdo&=N<Uav*99cOjBM{VpNd
zuPjtCvHS+abA!$a3Q?L$pMM1?=0eYqaIHVF0|G;0{L7_;1orj*BW2#&7+a~Bvc>Ar
zX?1;pOHB_lLtjUhZ==ByK<a9N{y`M9AF@&uzz0>-lA)W)zo-`r_jI7Mw=|3VF0q*9
z(p43&QWT>;HhJK1qh|^#G|lP26fNdDS@0M5zIU8?-2WuX2g%65t%SCq4<MZ9l}~qw
zyJ(9FOTxrmCn``zY`}H*Bicf?$muVVNMv&ovN~gyI+kn{Hrg7kWBqc3-sO=W5ZcFp
zcl%qVd=vntG`Tcq6p&7qJiNTEUyOq!zr+)-g2n1YzCLYP8te~sQXZ0JlOJ0Z0JA@*
z*DLYIR1>d(O6P7=L3QpB8Di<FV%-tSo-%z-$-TX|xoiL#ckeH^MdLqh{#pyAn@2`e
zb@YKM7qsEP<9!7g$P*3?&ef>9qhbqEbNp-<oh@Pu${xR5#+pZEV+!e{Z&r!jJpKz5
zBcF9iJ`nOKO^SrILo6vlsqO~VHN(9I3tj4L14%_k@y`uPl*8-Y@|BgZ9vpp5zznaV
zw8-lxx<Jfj5;ldG=v8}vxOKj7gy-WOJt1Fv<n}`(N(s4Y&>Qfi@ztnSm<PPEA`$=U
z%B{)#$+5(WrE~%vF@gP$gn!tuV(Yotg@`Ks722AuC^c9?rVD_;jr6Ms{m?77&p+|-
z%ZQ(;>=;>0sAIp}Jj9hu6SMWrvlq+$L=f%$1ZH9TaPt)&*hZewSBQ7w#5c^k|1a*J
z_+OSMXjK2-mf-K7etvmb$Slc>6%%7an(1~8<$rCv0F%QeW4la?%MhQGKn!BN$|!~4
z2p(`*I28inktjl141INbN8(^6jm*7=mZ)&<PDL1LN6~boWWcSzt+h4KysTI%?<PD3
zZ8r{GF2t-0ff%bBY)`<nQ$H^l$M<Sii|r1+9%7fZmPke!0RBzaMz>g5!d9%xXEXC>
zx*^7J31pXcM1_;?tqk@;)7o*QHPGse@TQ&I`jgF<7RerYDb8~p|6EXg)(07@7;?Km
z*$!S@U0HK1r8F6?4a(!dvZdlYn(S%=_XY3&0!{lG71I@3u5K;IV$^J?L-o6#$Oe+3
z2E@Y1dZ-VG=Gqh|6Dv&SDu2<kL)>H+k~EK$n_^e?4|Wb31nK>bXRk+7F%<|=H%O?R
z&Hx5+(4v*ZUr<ZG&-=~if)k4E$kT=miNLCZ{$X9^8dAHtvNl!g^2S@GRAsE9_Jlfo
zezs7IqcZ&V45_ga%8Xa0avK;OR1N*=u+1mlt6#!XUL3~_@8*(L58b}*;Mg*h=V@JY
zTY#xeqQAZ;70{?n#IpvudNU=9=V>Zk!<$;of#)XWsW)^A)YL+|!h%$NCe=$BSBNv*
z3rWbsRjJ51UH*#?jSqiz?q06!zAm-*uQ7^bcnSK}aDO3gUD&D?Q}OuhEXP;d7FJG-
z0)-n#pMWlFQf*c~*t8865wmJ<lvk6%HR39iF36yQ+q#@mgm2{zmO&&{6^L#Y7WB4v
z)ugnmUy>oB>H<w6ur?j^#<}~7%IJ}^Z6k+IQux6OL;?EJQUz)9JovFg6<x~`p?v!<
zw<)`+;M|Sb7CC79>aT649++|x%3^evl}~2oi}%+%@+{uwpNfu;-(4KA-Vtyi5^zOA
z*$n^cs=Y90iXm5X`Ihn+-B^*}c7QP?VAv#}!#7IEuA$S!?qL~hGee^J(%Ym85zL#4
ztXMg#p=*taU#bDX1H(=mz>TCN<ivG9=Gz(eE@UQx^f7^i?}3x_5Y7_`4#FsrIXT+J
zV4S{;@Y!tv&RPXx`k&pRNTX2O_zf#IAK)wn^_h0me>hwcW)!ff^orkvD-{lbNg7x;
zZ5s-avk6$A_U2$}39TMA3n)$>pUhP)L9%GQD5|Q$alngdMKUn8Z64~ZjP3b!1+P{z
zsp+9xe;=$3mCC3J^;a@pFP1+bT?Bk97C?@rG`{RYs5DP#W*f&lKCr2l^yta7;<k_{
z==*emxiI^@j?&cRQld<)q9IaiB?=32zi9LE{o5}s_Gc?he0kk}TXf>c*@8t|oQ|kR
z?!zC{Umw0v;ZHR2L)myArBuLyFUzxY63^Uqx&SId3+S53yDfCmdwcc>BwU5ZM|!T(
zCpGS2aOW2@#BN?iX+u=wqq(-W-+ELQBHL=I-t+Xk9W7*vqV@eTXQ)x3`JzmDs!jF9
zCGwIB%}yRzgV4jy9DaY{HOQ=gFwOX{R-^+@&Q+$0x_`Lk2~o=2nty3i?N5oo^6EU-
ziGgY>tQR8V(w@VgW{awfYY&CU9_2d1tpe4uT%AXXg4#fm&`IG}m_YSFJyhpQ#_RhB
zCI;3diw;9C-Y+;v54KoJ0s^6lWMaUHX{bZPhP2+5fBW(l@g2*YE3AW-F!!c^L&TR{
zdQN0zVre<Yh_f)0mHVMj#D8*3Z}Rp?gBQd79+R9Gr^n1>ou4Zj2725NmqA@XEPscn
z7oEBlFpD?Vn`h3eWNx-uTUTH|ik~QP^tS%K>hg=Eg5^}BT$j`fyhIR0C2ykJ9{e}u
z*#cwP{gHI}mz#BTS(_0*k0BVY4J>9XV#{3Ktb{|PNu?41RES75fqz0SID+Kc{-Hd6
z&M&$Qiy4TCVcoalg}HS`M>&*p#3D^3+X<gS<8(mr`!LSnh5(rIdXHi&5dk2da#XxY
z2__a#8l`$5lPPqgVg&QqM=N7=VRSKXCq0qek_5n20nAdK%u&393ynZe3j+f38mtim
zry>OjE<+lE2y0zaR>lj8=<r%vU|InNl?{Jxma(addtleFg(_l>C^cFV!Ep+r0nn<9
z*~Hq#jS6!Y=P3`FU@jN6I^h4|3qaNQ%k|<`^+1|aEZs!$Dftj4+Mt2COq>0~Rirqv
z$bD-`4y%GokFY7>*Vm}|0?RM)mm~`zE5@i&$d{)wcFcY7W03jy`-K?74hY)IF)>l(
z6?TJuQy!%mjtc>et{S0ADKcqv`D$i#D>1sCkW)&DmOznIX?0K_^)3vb`v~5{*|%_-
z84&hSEK!y5PfrMtE8sl+@6L<rWw_HF+*8pNVTA#-1}VDQ)u!8rlS<D_X56+{j3!Vs
zlu>^?$2urv&Uk!AoP$2&c{YYAM0Dz6W^w6qbhi$e^y^cb$W4|98l}+v;5C;GQfK#j
zA6+hDZ!~WC@hqv5Pw$?jygRo<QlAe--r~a_@^J)rw8G*`Z0}?a{d^SlB$bZoFwLkd
zSLgZgv8e6j^y$f2m&|qJStcSji8(Hj8uSg{7;Rk%mTCuK5~9|?F72qImq94&N4-%2
z7{|>toMH&%`F${a`Vo7$Z$zKHw?}s&OA;jsAZ@*bhkZrs@OKPlVL=qXEJVIn+lvqk
zd~Z~tE{;virGk9K_y2eYS?lwOSW#}H*+@7>KX0^h_29A%`_(|`{ph>2a;NAqi~7=5
zT_Il|Okx=z7j_{$Dxn})>uI<GM@tA(VE&$8?tX8jI%N~z?U6BQEORgjj*3~$5CzxF
zu#SdoS8fZqeQbIbJwilMOpJ){?HyP4;DsSt-mm95bycnB^q~e)t#3$&ygZ_-%Nhn&
zU~@J#o@{RQz6)f)i2tKMG557N715*)Bg1xs@*Ox9gc^z%rwV$yd-T@>QgDDgoPq2@
zEE^nv_yYe{CeJIu%vuna@O>VKMM}y5mifZG;cckIWRy&T>G8nuVYVbyZQ4D?ki9q%
zC!>%Pg|tt~BGKu{-0EIX{9T~0<S~pxKpuH6pZm(!pH8pV{4%aw$g><}*FbarXf-8B
z(){3L^C`ppGj`>Jd+x%jrjUk7hG0vcT*^eXX|~3XikLXC1><moZ9Z084NF4*P0zkU
za)dch(Md;qH3w2@7Mqi4vWH7hId7!YUPa`4x;%@&PuJLYp#sE5=>v~{BhM=NVhI*F
zWSR`2;O-@fxjL7Ah#Yypyp_4>%9tz>-wP-+ZGqXxk%@Y+(7GYeB*R)vk4VcivY6(z
z@Ag~PQ}Q*fQJdc4+^N$cO_z;$6<xGGpZ=ELxst_93BlMG3*PR=t4O_Kh*3T9{%NI(
zBpo4ZDKdj)jtWR?r@pv9m)+{%7F4~^lvy*Akv|H&McB`-7$e&x1qs9za`%A>93lan
zT}Uxd2|1i}9K5e&OnNK0dhLHtW`^!n^iI~vC&KdUJ~xuC%OA_*Yk*fcK-40zb+qc^
zYYR!t_9y3ri(O#>BTRzeX-yjMs3c`L*5c5ZEmIGFe3L|Yn_@lr)fB$G+^RZnay17U
zuOle2C8|h<cnXA>k?=)|F2{t#zs4FpU4ggc0|I<#fvU3yf<a(So<^V~<sliL$#M9`
zT7|V%GGif$(58ZL$Kk>*ax^oXu&*DR0A@}F4I}H4Ayy)3QQX5Q<rPnq{FQqljEDnk
zG7=LRNl2dKfRT_IlEI2F=iY&Hc3|H;IzZMEC-1>%B4THb_Z7>)<6|+%NB9qrNXYmR
zp`XCh6dfi{U(&#J2w}Yj0V@erl&7DOUQa`f6F7Szu7-J!c6hccHWe=S_;?MDCz9pq
zGZF?0bU~dcP_VatL}r@C+vF8M-N-pjKryp3CUzfi5wU(;n5@8<*j&%0(>8%>$k!j=
zicjr**U7xXQJu<}`D|tq<CedCtdT*a!yka-((7xr`!EkIFc{9&{ASh3RWw*o>3>%b
z6sDWdjgHY{Nm93g5)wVVm`Ml~<a46=%w;cAbSWVb1e00<M&g*`42;lfh>>QQw2%ik
z_tRM^$ZmA5BM)NiW>JZkb$^ucHK2zh#%0zg&<h#w@nM8viJ*;#w!>X=zr^Y?*7~%2
z%;y$giJ8ShrVoYtZ$~CzhYY+Kt=<Vb;$Ovpw@n0Ezz06!?NH4ZV;fma&+fZD5pR`V
z&lT0llib7L1f_5e20&1>gdb~<-x@Q0=6y-T;5e)YIZj`sl-F9KgVxs8;wF11+~NBs
zC6Y)CX?0;I-~W+i%cC?8qgs|x+ajft$IDdt<E@>Fz>Z(K>s(Vyi2tayBI<z4Jw<;5
zIW5o5g+-158cb-NZ-N;DdKRSY;j#&tUp=t=Eq$eGD#75KG8vR?A{(0y`|a*@W)!l;
zdiaR4`xi39h9SLVmq*I}4yY)Pfmcs7%Si^EYsHj^9b(zxN#m<O(-_>7)OAjN9`W;;
zeUgDhigdHCPdhO=(ryKUnj-Q8jgmW{;#>LL&zEQbGXYi{Q4H13VuYt7Ut+9heS-7%
zT5Lj=IDESD4(O9$%+z~#Eb|9#yn}K~v8VTLPuCSV8Ef5c+$D}b0o24rJZ^{X@B-eK
zBokhMdSpdaRh5<7*_TM}v=rbwnp+Mv0c3vDNRfUnmn2clsW>M$I#(R6xizBGeJ<Ff
zxGRA%J9kri3{>fo7uQxf0!La=T@{+0zI8p4m(;){X0)EQ34K_PZiLoCq{dHifXb58
zPvAb(6AB(@341reP)7)MttceEm@evxs+j^Cr*|cnzsT}Dcnb!!<R}SM_o&Y0>BZmG
z%bI=Ui+YOU>de$~3t4sC8&+<TzvQi}w6vi_49irz)*g)_)Rj5f8S7ZIHi`f*VPqN1
zga^lJlHbijxcMn!jcwH3LL(BSk9=9+ZO}1uaU!x~wCI0W7^YWj;4G+y#V-iwHJc;t
z(DFiL4lCQaOHb5-etQ4UV4W;h%#%%Z$F!@x@n$6;_TzuC+S~M4W+;?6cViN{CROV{
z7b`gUjA_TApQ|a~+sWDtt8`X=hu^IRvBbpL0&k0!sCs*vW~13dB#uc;mC*-#S?dCe
zC7eP>osm(iQ&F1Ne#8_<3_`{G=H#OwP&KixW3*^I?ho>I!YYeDjJiHa1!*MD$jf9o
zZOQ6N(BQ&}J4)=*>pCQ9mYUFJp^VeZVgJ`W>xf_+Z=-o*!%7Ie6FPiq>-e-(Q)T4v
z9t5W^UDZ-Z37W)~DEAWYoF(<}D(O%Rue?LjI8h8prv9T!^oTm50{ex)DV&k>y;I(J
zQ1KB+LdDtE0@TCs{{EjS+I{82V{}qj+jkDa2jd^iB=1f(Yh4DM)+9(RQg(L=bMK5E
zM+z%}=!E5#f>=e#l&23_mc&>1#uA+}>B@1IP{tRdqHdKol5mfhp|iz)lvNxdc9Ak`
z9?2|#BR9nzzRI#Mp}5lr|A!^ZSio*rNn`%zl|Pk=o92tzA^;geryz=fP$dsa!$HYO
z+;jn*Th<6u8orK)00AQty*}ZTjW}G0#a76MiL<7r!>Bn^pP4<EcF^jAzDHFZm~va7
zSnT975C6B9RhdJ{UQ_5awGyn>VA6RErE_qRFlZP`oIYUF!!QdupLz>;>BpwTOnnBR
z>QLyxLO$YUc2p;tgY7){vyyzstjc>aa|A~2kbq6aHsZm6`1}{-c_$$e{z0RL80tL3
z#oKU!5=e|@@BXBf5W%FvNUDm>f&NBTREEJ6EOTv%iA^YiwFGon!gM)ZNGEdpcPtgm
zs6`tO{)!^uwe#?~k}AZl5b}XP;sxODGxY!_edtDm3|a_zQ;`Rkya}dp$G$0-;0FN!
z^#CT1A(sl~pP8$2GU=2#%GxUPhAUA=OxB^R9hnc_{}Aq>ed7L@Ignk#DHwOurP~9^
zh@B$Uh!yu6V#Gp7OLW)e2xFLLYpB3a<O>djj&eHcE8~KOP>MmmNjy%}^V82%79`n%
z!%eL+k^thh86E5nfmzZLPe1<~0<QVelt;1P*@dJYVHR3F{rx+pW9-WE_1`kf-CqkY
z@JEsrQOruln{B=6ScXoQe(LmqVM6-J`MH=Vzy^(3YWJ~DVInd*EAdr^DZf)LwC+k<
zX$VuxBpQUUy8&F0T=9N`-F0Fk!w=q~ju(-<jX}~PF-0Q2d^@t|AnC{)eER#vA2$9-
zD;|8@&vPl6ep##w`u+lM`=)urr&b1+e&pX1J6eZXX<DfmStY#3z{SI<wsnKrr_7Nn
z%i|1ny%<P%Ph8hO%oLm%<LZ3Nob1SGsj3k2Ca)H$$NxOx$pcJ=kA=enz)`z{W&d<!
zB3*<yQ7tG9v&QL;_RGb@JlH+V2nDhFL|oC1KyKjG7#K6|VPKCklr0eob>0=x2O>sw
zZCS%aTM3WTgO&u#b!iWg+ZnZ{R#;;+K#?SLR?^Wrc`<d4iok+Poh$Y(0_TM2o?CKL
z0l;oV8zOUA35Gv}1Q7^LIv8*Lj<0B5To;}c5}+VfSOFykLtVt7idbISR1sqrVhM#p
zdu{<IE5TcJgiue_OQNb0CJM~O!!Zfz{ZcO=z$fYQL=B*)9Z6z%GvJ8|At>0LF4rTW
z(j89GXO=)^JeciVRMI&_G}_6!^Zk=Nb`6vdMhrN=%mvav{`KD=dhi8mJnJu!Au-cp
z5Krzl2_~Wl6iY^%e+J!O!998Md#ngLvxBxcTmLiq2X^FecZF=S%?u~b<HyFdNeB$4
zM~m2qpm`kDZ*^`xDCd7i52zOmmn2NlaB77{KiQwiTLh#-g=zOhMz>lVLOgdM-aZm6
zg%q-Pzs*ZV{oUft{R8AOBhmsG)CR**3CxPjk5I8Q%s74kT_3>^#^TFcDZQvwGI~ff
z=rR_s2UC=#9vA!<4kGUJ#{`<Cx43*nPe^8gBGVMTe`Acb5VRSL{33ZflR2n>Q2Px?
zVUj9lYaz)Lv=(Y$2aqt`#JtbQ7$bp<o#0i34k6#KrGQ73&lbF7<YPel8bEx~{G4F6
zeEgM}J5zpnzQlf4-{(JaY5rt6b#S5KCO_7tMXA=T3+hbWH?UkvqJPdkQiHzl`^!BH
zaeQi(I`>%8vjrjv%o_aj79u10t~h;IL;4xt(~bRf4&yi-7Bws#%x|Dw`mWka1gVpw
z9Z^<Pw4%}gl}X~An7R4#1D4?%1U15n9Z-a*9NKcnZ%@(h->o7c6l$b?7L)pqIFWl*
z(;C8%X|{=^6=iTp3uvl905&!@HjiW;<F*dsU0z~eN+<Jf8B9r?pnq#nzkJ7H0@W$q
z%9ShV_VPPdLt`f`kjg?-`ywj>WgJWr{DBUvBjrfmSF)!tJ;=vuq^UFLGE93Hmn&zP
zeJ#f(6YLHqWzyz;CiODYqmn|c;_L;nfCM`SOs00k`BY)z*%ABWSaIJ|i^S+quep7*
zsL%Lk=XY?YPB>JXx>}$woWKh}U<!#{u&0;FRhwwr1K>g_`h?F${2NrFcumN$<l1&O
zFm%{w(%BpWKj;YvJ&JMT-XS00Ti+?=Xw=vhEW5U8tZ~Qzhu%F@a5*-IN!N?R&{5&^
zH{FOGiq8);bH@i!gg^tNk0H5Ik*7^OKR@Ge$-seIHO;AFX8)7#SPSYwyZWm0CgnIZ
z`y<iVa-rK5hLR{WWpKDur+d^%2S<3%V9n~GCR*abY`_}BgL$YGeS{;`nTKYjyr2K|
zIJ<wV;MJAN$SI4@ZB?6T$M`Z=+wx8CfCM;q!}qre<5sF(n!;E!dy;6-47{fL3d#Tb
z)vUMh%W79AL`NH1H$nNVNClNOwU?vm_40Te03<4~RjCV?O-p8jlE>SmTUT12{n|h2
z?t|qB<!@-_B?4XfG4ogpOpu{EYl~~E6w%B_^{83=Y>OOolGuEUP&|99vZ!QzSHxw_
zg!lb>RO!11zr{d`Y4&-+p%75(`f36$3yTZu)9zI>N+OvwPIpzt>NmU-1+y|am`9~v
zfR9)Y5)6g+G1y~3gJp1>(qEWIPY@e6g~{Znw)rIc05$osVZ%6fe-u|^-7^==-);w5
zhLDXvpvRvMj*Sob@LjogkV!}!0>l3lJw{E*WHe-R&d*tf7A>(Vn^HP~>{56cU*5i=
z5<Fwxnu-Z`xJ;b8@mF$AhIgu>^UFWjifTmP?O1w^%5$XgGKI8@GG!FUh&Y>^e0P>~
zUv3ME40{SLFVnYXP+iOwxJ*d!gQAjW_%Ubi?d=v7_x6Tor6ohtHbL7lTJ7B_pP~w+
z1Te#|m_SLXg-{MhEc8J+)03y=bxgo)>jUdbaTI{;?Xo)VQYoqf{wb&i<uJKYVkXEE
zm~ob2*w2em_5NqLAOEt5NyJnM5-+8ftJZu#Xazn0|8KzfFS~iiziU3Zul^8KUk0f_
znkRTp1q-sH(uNB`ayC`smy{vEf@HUjLZ$xDIig1IT<0vbKHnD1yE5`&&^{BUDE;b@
zodb2uHZbF2%&-t(hKHwhDdoKUfl9$BtQHZSf+`&aA~5o3t~ayi0&3&r0z+GJbsI=v
z5wvnT&s~%%Vr84)8)|n#o7f*iPzlo1n<;{7nZnKMLU|RRC3o@ilW$K^vtnF!Iyl5(
z#ETbH7ef4I91c|CRqwaORcheW(2qYtkFi*|7kPy6BRnG<?#<(mXN1q>FQD;AK~Y?c
zL$wwr8rx9bk2nEq(o67f-D=u0VL=^f_oVT2*+f~+%@u9@mPx}}--0c>V?Ft?3BJLR
z5%?xiGhD^F8|$~y!<4Q~e(%#^km%WkZ6WqymZbsXTb@In@@xz8cZTmX5}E~h7vaE2
zhAFw-XR_U=4@V}HGqyt=F_;%$U{48Z9$^=&xTPbBK{42ES#~oB3E+@_+cMxHQx7CQ
z;xx;VUQN)q%yd~mwQ`Gm9;)Ql$9VQEBA=6{yuXr)<<BoJa_+|NACf8jzgV9T){LS@
z{$rahoE+bFC}BpA@_o&!qo4Og7W;0uudOfRpdsv{uAa3_eEDj%1H%(jSz4-ih0>^^
zWV!6#T`E16e&p4U9BJsHB4IYr>J<Q^q429X=TO>4aS-`_s09LC896CKdp*UbFFmeC
zkVGWRYWJ(m0mY8;ws`eGflFqugZvZr%dK6%tH@tcaOPhR?w6yOIiCwpn^D>^!|E`3
z`$p+89%OC~W3LE9e?^s1=L8_W6o9K8(L3-N3G%Ly;Xow#kfE_()UF^dDxZljZ?G;s
zs#sI1{pU+Tz4OsWm-|eeG5^)$D_bnS+8xc0x<si5zC1$BHkiN8-K{m0`wBEH0<5w>
z6>Y|T6b@jwcLCy{B}gn~Np>lpV{LODHmbW*Xk<2v75n7zT*dZG^@Rdjb1ldFsy4fR
zr`IrT30nbMRLC;k1M)z@bH_>kI7OCr4as8N&uvVtMtL{O{pL5sT(p*A2G*j3fXkk@
zX4g(z+wSkja!}TE?uJb=tFd!r$aN~SEQfKMM}T5>_kA90q$=Sb6WcG3SFa5s=TS~Y
zAC@?63&PlitBRM>%#~Gw3boAX<<HLD1mBXpsGW)STHug03SBGF%$kI&eUd(&7cKs!
zC7ZQ43^SetO>EP!o<nsp;KxxJFLL}U@yGi)T=ZWmmxjnAhe4tF+F4)$suAus37NPU
zj{MY$EhG$(U7Dk!VlfQfU>tOXfnOpH*gVD*dw`(SV@k7#TrpPRUM|#og?PhkO#=w&
z$7Y<>P$UvQ4Z~1jL_e4E{(PYZ1DS#;Kn4j8m&h-bL}?e9tV$n(f#`8QQ#m9+K<M62
zuyc0f>X`@=j#%jA$3TUL7iN`%IMxQ}z8knl&piyFUdrX{yB~?{Q(ee!&z7T+?KF%L
zC@RF}Q?(y=xe3>^=t0Qb6{e&>as?1K)tP8(2MxGj^{qdm2+)R-mFe~?%R{O00Z@y$
zB9sNPj-aD9oWVM9R3+J2te`7ATS*8TSY0x2ypQTm5?@T<$LdP!mE427>q|}aT2EC*
zz0_an@Wm_7`_k9{&3CN&cat7d-Tg1R-PZr~&FlREX0L1&=4MGM0y^PHwAlmYsPA?7
zq%3?jMz;O+nBgQ<|D($Q^o0J|lgFQ|+{B1KmA4HeXRXMD$?zYO+PRuM&NSap5zXw$
z>O!~c5beZb-l0J29`kuE;^auh0K`=pYH!0a2{%!7qKd-nJAarEpp5v5tt>J~9$<3)
z0D-?oh9S&5LiNZzv<pxb{Tds4s01d1G+H7Hq2Zr`Z`LP!D1IeC5;rMPBLkM9LUV&n
z_tK}z?^lhTyhXG2-eNTTy&-=lfeR2eH~97Yo=JHp^)yn!60Wo#$v#1DN=k$T^k?!u
z!<^E}m>xaf%`$&M3Z!1V(P|DsAd*kO%nIKm9qOk+EC59nkKe=~0e3hle<l+sBm^#-
zBoh^p$@LD1D(DSQ-@`RQAR-UrOkRIV_{2J9vn3RyVkF0nss2O-Q7&!4l!?Xxy^{>}
zjPXNwq`}J?q+OKWsE`1%v0$kmb-T|cqnAkVZPceQC|jA$pGdA<SZ5D<U#4el>(3r}
zB0721A@kwiU1Fis?)2gIl{Fkd06#<z$s}_M#<i##7~N7J;~+Wz!WUT`?SDAZ7UG5p
zqj%&h>!4ftx3Nj997><hE~jL*Qyhd5ed?WGXy-7nV(bC}cvg{%dKl?dw0R3Ti6mrs
zErotvwZ*|v3_H~gvN~~hS5WdV&2)zQ?*As}h)H+DU29jHy>e4ow45@PmNGnxS5bDZ
zNVT!H4yei7c3}aBi+5dJr*xssAjl2Jz$k-Bu#+)R_P3Q9Tk??-*Kmwdt#$4D*99N4
zXfvz|c=zACC|80g#@a~nT<Xy3w#G2G`>})~?=J;C%dmfDsstW_$UR?}Jon{EXmMSS
zGex|r8^z9KT9oz|>UuVI&?3^B{eO{q-6PwEhfe4XeJ$s}BrnvBH_lOMbRTQ+(}WKa
zb;7P%B*fyGrAgRD<PK0E-q4BV|4mol*|x8PkKFwMeUdRYO^_fjbf>^yOg>}|7luV@
z^p%j^0k_T9#zPV6@q2S{4F7k?S%QTUQ$A3=$ls1b+Ixd`2S8t+26r~<a-ai~yTWO+
zE}kmiliTv;wWcP96g_>=*#D-=usa`YXAF&C4(!78+yUBcU`%_6ir@BLUB(<Pf=4T8
zu7Up*LYQhI@bbQae>4b-EE4RROx>E;D1j^%*cag>c0XvL;xmT}3#BxoS(|!k5+&5^
zrU`f;5P~SXJ79@1;Rw?=1-D4w|EG38-g!o1dC#<aH&C#kN;zzYPH06AgS<5+<3;@u
zR9-k*ozS4pbEI84LR}jRNf;(C9d?j<YBfrHVC2;m?|)&@P@M!x$;75WHH;Gi&dwn0
zQ4)p1!N}u<xmPbp<!;tg9?+p3)O3SyleGsT7UlJ&peG%*G<B`X{z?BNb&R?@B02N;
zJ8AaL|3k!A_aNznFo}i1xbAs2tP2&DqSii#AyKH(@a^6ItCimU%bkWjG@}1ic2=18
zx32g<oxi@ylK<cOc$^^eauMx`2=BfH<!gk^a;&_YD44myXsGWtPR2W??+;4sgHBN@
z-}%P8g3BzfW6iD`S5eGGE4uk)#Q=4eOXUt9B(aD(XQ}&C{A>N?61FKije6HLv?`@b
zj*n5QMQiJiv_U0Yj{Sb&<7`y$c*M*}U_w>HpjE*K%}K532sU{?K`jJ*4EEQVi;y)z
zjsMiz$IfiwYV=`S#`K;>Dlh(B$tsL9OmRR%`eB5MSfzIAMMm|_#lL`wS|>iu$)Abb
z=sgLM4O@p|5!3!e<GaG8ygD=}m2%nSm;jJ{6(RR8B<1k%r*|Vj4}NU&vINT-jyL_O
zxxDBE(%+_EkJ3_@|2qgCmEN;lkmmy4^pc;4DpG9fBF?F1B2W^gn|~2hlg#l3l9Bwx
zIF#;m!-lA?N_?Cs7Fc0XyUI`|?IcLH-Q1!>jP&5ORB+!)lmTJDgJMD!2<s+nLD-H8
zVJVcj5G0+u$W9W<y<%r_@efN}51Z0>CghHGlAA9R&LMs4@onK&*yJfF`SBro$orkd
zh5;$q9BMYG`PXKHNWm<`^TVLTR9=O-{sN2{((qsxQXApQt>;?6(u-hP4uzSh1$8>3
zcb~IedvhQ2XjHWLf3s}b;0Y|-Tl!Oovd7>|UM0d1<$dSg?@bO9#6nZC16<ISAVo!Y
zIDUO(d1ZKazQFXjPhT^ZsK8rkqz&EW&Dhy=xZ-Fo2b%&FGX>ayk#VLW6SK<b-3aCA
z#j<v&nJ}Jg>QO~c#SD{ItWW=^UIxolcOUQe!<Lb;zR!CnMwnK?xM{oFor+F_0t>xz
z+5<X$-w0bXMoRd;|EZ`q>MzeZ_hj<|^}r{8K}Zd3X<naG47ib3ez&zo`k^$cKk4Mq
zp)sfVKm~-|!RxT8Ao{&y1G8dYZBkug*ztYDw|{;+xw<gLs==t^dtY%G?EEOfin-J)
z6j46axA^{+J&oPvtttGFI*>P|$>HW81xHKjgNa-|HTj5h0}^+(`gGrQ#ecDmqsM|&
z7BYOhhcN9V=T@>z&Oy(qD9(TuznhAS>_RelAkVlZO^`tw78`aU>};k|sq2!rq$x6!
z%QV2}idbwVma$Rwas`J%V|A#(#_2*Q(Wet#9sK-?Xn0HW)*WOwaA!7O^~IIqu2N;3
zDN~V940EX2u{@CRs#FxD4D1IkE|z2b;oK`v3Ps%bj6z<iQKY>RRC8o7Jueg+A<iab
z9Ns}YY!Lw9FrJIfN}HrZ{_2r<=f?o%F68(?D_FmA|1K^R?v{JEFQadklqt#H0-9_Q
zMQ+pg3wcq0K6Hj)65j}OQ>6OmfI}U_0Kbe^elR6G{)-Z|Mbff^-C#5H=skb;g6+Z{
z3~)?@lMy-V_3v}hwnQ$7*p7J&Bs?0~R~~R~Z|^@vLbHz(D9pE0lPzk7=}$K<Sk{>I
zYWos0ni;>JuweEyg~RSIvptK$uuCj$8r#yWeTkICT85Y3+wNbs4VnHvD2Eayb7%wR
zEpT=eqt9O&wOps(M&&8fX1^e=K~-e`wqZOFW9UYIA`iQ7h5-#*0u?ixsltv-z7PdW
zpcL4;67Fg;fhhI9;MHk+JMJ*Guzlj87dB5NX7T^@KG1O>fXv3u#?@ic7V1J06tj;Q
zgqQrH5_C;=zQ79M_gKsE*cPlI`)e<@P8r2KEb5G(+aCxK+hfg)(~%4;_Ln^UJ_P$H
zKfkmjkZlOp((AaOXHjw9)IDN+U<(owQ=b(P@Ne@F7<SEF=<Cz&aq1j4l{QXSbif9G
z8UXT3oV?f07XAx+OJm;<ecDw7`{xA0Iv$U0m2{sD34ZFOy-dr71P7vTrB8TszZ#MM
zhiymy051Np7i2O$$}HBvlbLGt82@)~(G9?gO|{9xvAR*hUmcDx+k9(ZYlvM7*9}ZU
z_o`F#XH_1A2hj9=4m@et5optXIkm`<J-)j7;(_S(SSS#ufYjLcxEVi&1z8q9mOFy_
zt9m4M{24RzmAk?>W2qFn3dU`bV4a#K2Ue*b$kGYIJN1edSaH7%JN7LRHx<;{<|&pR
zlOp(4D=AsIg2qE@KlVTqE}G?e%EuLkbjg89(9_q<J&~<}xhLZC!Un=xM|0=xudETA
zE&G$yC!xuP@;L%0wrq|I8pjLc(2ooSzWMt{NF*P={r0Ukj7SgZUcPIZalbQ;MT@~#
z(D7fJeD7tzPc934+)>)5M?Y(RggTKO@_+Wj`@?)g2{N%8c1@Lm{@3aaDO|ysCy*ap
zvS5G2dmwM}vy<tE>_l+f#^nEX=4aZGl=dI+mz;i25R@C3eRm&<;LuLf3=^!VZ=R$B
z{NzN$xAW_%T?0(5jaoMd=3wvMNECPdC1=H)6Y*7h77sfhhYNb6oAG^w5w^260+&g9
z^Veg%xx*IKk_P>(X9Msd&~A0^WQKtEs)a-maQ;A8LVaSIkkZSMzo|r*JI`R%4A!YX
z>)-<BvZ=%8tb{<!GgP^`Y;uE0n9O*2gZ8T8e0BZ^R-A`Qp+t6h?AkCX1;(a<TyQWW
z9j)06KG`}~`TF$bCnHWtoGrrK7a4++kPO!PCMUMF@xskJ9DKz$U`Hqz@9O~<{UwEt
zJT*g^k<B;Kojt#Re5bTY4EcgcdLM`1umrBifH!%NO#y(sxNNF1ZuOs`OIi{OJ$=g9
zcyD}#>PVp`c}H52HZ>4EBup1*{Y*{pw87&zdT}XU2f~1mQodS1_!#Ewg&Y;wJJ93c
z63v5uPJW))o)R)%VQTZddK?G#{;2gc8T>=Yz7V>_xd;upOvg@t5ZSw-9f^_?8toi0
z7g*ok%b-4EGQyGnn~YpEl^_HKQiGi)l5Ak6E!h)nBh*iwEC1V+!88dcdbUc?W=PaJ
zROuy!T&N!SO-0JKM8V-ZFnge#B=M60_Sz`v{AtF$AIXvn=fq@J-lR?D<2<&r&kq}r
z=||TI$8fcMPyK1^RNMX|94==k+r4479oUO;2%kNv|3&eZj<`biyqOUkKV2W=y$F8&
z-S$3;3t{%MzW2?&HRN4~bk_f3)s+?v^U-|`1KarawAViG<`0uV&;;VJIbbPv8LmGk
zxk$Wdrdovf_*nS1;glH$DI<GWcG%8Pb7B-oL<6z_ADdPCV24!UfMFBtM~}<BMr0)`
zPI0~DY}q}KZ#Z08`$o^qZ~{KuJJ<sZy#+cl0xPsmT-ftria`t93b9Tz)Xpx0tvGyi
zfTl280g8l5O3ZYFe%kb%%yQI^1cI}^TITD%<&ZQ63>IOBfE8#Toa&pOw*<_e`z&wC
zw+8(mp?A~f?W9T4sx1C!4jVYA(On&J3vdV<-<h|v;zlo!4W!c$FdryI)Og63T}WG9
z(xe6Tah4bhXv2WukCI<Yip0eOyH_Bd#4vqVRHy*iG4HXWU8l0z;Wto(A)ET%;BvCW
z8Y>~|3LZ_-dC11bh8i1NDf`ntDH4efrQspN?D-TmNBET7S-j8~#_$0Jpp^DGKsysE
zS_;_9(n@t8A)HK@==@Zr`Lq;JR3vV}Jt+;vNA{e54lFY_%r`+(5N$sR&0`HY4G?Dn
z-3(qbLBCQ!xD~+Y1z8zLod6$<_JWtnrO~aOoI_Oho1*(o<r78LshACD7F>$=f!*p2
zxIUr7nHfIU<nbE}$Y_db33p}`IhllwB(xgFYu3!Kv-j=~p;jS=aDGq_STSD{1_x=t
zK>9A(UV`x342~yF5S4=4YyCo#<3A&qF3wQDH%E^psCxh<l43G>VJ(n`1n(^mMck~X
zB5G8*rAFsgYN$ik<-|-~;fg?iLxEvvu94Wlo;r*0`x1<KB7**(pkHpF+3p}T5xK8J
zdjk5hL3pHq$R<oh3frh~mXdE4i47aFR~3@9Lo1!OM~l?>?ayREta8M@Rn!ZEXQkb2
zNr~ogK~|mq;1P5jDNvofhL+=*tW)el$Tc_E)W(B2swGM#((x8CRSp&h3OJ!u0w<T-
zB=wo#ty8Nx;vTd09mOlAr5DkR`dX=%K{v}YA}ke*kia3xlsJAL#A;eB)S|^@lK_P+
z{nmke?c!3sYd~+|%i|>MJu~xxorDUxkt(zY*)HsJV^{eJE?KR)7?;6V^9gZIGJ#mC
zD^ZUuhP1Ll%3mEMz`2k1Dlv!gyPu9DzY60b0~Af~p6e?YOreiz={n*hzGL2#^Nmd%
zbX~FQA_NAy>xN`{$6<*lgc|5^5pNL@mP*9Vfzx$PQ3o9KK87WrNIj9ak-B^OVP+<S
zATvF%^VjXk3sZf?SF@&y+d;Qws)dq6WH{x#_fpYfU+{>k{_|l>1}YBJ2jz&Y8UH-S
z*LouYJiCxMHh#mwq{j*lQcySypgx^JiD*E?9=?hs_RVD7%BPJ(sArOPABM|{Qn`gn
z^Zpf8vVv+6@2Q0qqVsy%`^Uk)!2`~IG~;h^jwvYeJxAJkmJ1db)dBEqpv>q}*<|?M
z5pNY9=w0+HM!-7G{UmblDz-dgw$?FmjfX>lY2X-=@wxE^9FScI2Cz8dmxx<As1uGP
z@<$U<s9y%0W_rs?$T#ljQ~&_77%<*?XgICjM|;5t{n<4*tSd=6;uhk!RZ=x{@SOT6
z)|6*y(EDkdK(caoCEzdaWK^TN3YujnWdz>-rF#ZW<s&bRPK^$s6x&8|pVF~N?M9YO
z%$njJL9M(&fHy=wYP6!A+N8%+(Nacs3V5?=OBQ*xvuayuL}=ri!?4B0IjvRmH+V2W
zUHkX4^|ZCMT_+IbCQ4-JW&6dwvDxnX{2d}-G29@uTMIygEIDN99nj)KdtmYSDY;8D
zwNRCnBh$zvdK}v@1FbPfbDj;xqMZShD}-w5*v@wsGQJF~Q0LY!IPxu(B*B|*x4OSl
zy>Iyj+7K+{ssly7Y?2#bX~#DD)$MeBl>7s!>O*y&ekd?1cwv}7n&|B9ECyB}EI_**
zVc-~lID{(iHm!|s4@D-YCaZ}I17rn5A|oRgy=UZ$z9`j+=pNPD_R^3*tco^Ne0HIg
z64{Sj%*=1CiG0FuYV<m<uiI*~)TesJjFk_j3UXQHv(J3dVxOMBQvCPETVub^zx`;|
zv_;dddQAT{N!UT^F-vgOw)xvX?-Sa4eZemurgm(}|E+QMwJ@!HgA-@OtiD;x-dU!i
z;Hk=c(!aFY%qHAbw8C#3?G}&L020Mx)+auF`YRIb?rYbsq3i8hLlSHLRjA{!NSxw(
z|N3oDm{Rn<NOcaE>*uGNZfCko*<H4-;c4;pwYT9hP^g|V_3ffRMI`Qq$lHr=*<u6@
zCRuUL+rgh$g2$JjDOm@FK&OvyHgbvv&!6PPm}Dl?B_YmdDy?Ew|9<&$6_kk;=H}+z
zH7PqLCntk0Us)`t&a?ohy1BWLzoxSxJAIa);PJ>CH-3n`dskdmRtJmsM4Bk7J!t4E
z2g{Qgz^@!gKsb+uSeda!+*eTV_I6?1styz_Z8W=gU!IboJkys|uWoG}lRG(TLoemT
zi4*EOcWN0K1s4UZkA3-4Yofqs{5;(L5~8A_*|!CMQbSeouFB-_A?KcYLu~L`<a7*<
znwi4F&W-cG`R1FKXxL$Ma&vP>N7}=6QR>m(G3_n3irgH5@sp5~(_Oi8<*^0RPTv3h
z_isvrWOg8a9yDCBVlKvp#Y!jYV1wHm1*n%r^Y5+#i0lynDmnrJ0!BIRslRO9Dzb24
z6hwtCH2%4x@;Ly@Q_XeAp&5?>{VFp~96I~kZ%6Rkf%*mpQWd{{TlI#Rd`2kN;?B{b
zgz)rYgD)OX@5*YF5fESDH_BKT2IwW4b(hD%BRK$f#ch<ay6}B>_?etPz5O|Rm4Mx)
z_yG{0It6U<#kMdUlTuMJgB6IoaXW1>;uHr$T&BWOGFMms6K$Dd=+x0{=Y<Ed{nu)5
zM}binMZT8qZd=D+SVG;;7Mknq-1$4$#y!You`uYz7^d7EA0KyEW_9ruSd7W_?~l)&
z4@b6dU7^9P7BK9f+Czs9t>yp_>cKN9vrNJ`E$)u7;%UK8CWVEC?w}rWhn~-F9}Rb%
zi8p}tf0s6ANjQrwV5`w8C3pD6x2xBzQRlk!HpZh9ynV~_<aINBPp;U@nz~<6N-EJ~
zaeG%+EG{I$X8(HNz=2Lcva~C+1b^}r*SQygMBfo;?tP-{qu(7AUH5V;(3P_85SPnk
zH;g_L^|jjKJ)ZIS$rBM#(Zu=yY1COC!g&@8&Gjf6;A3>6xwEtdkDo<bcP!Qv?UUBe
zpT1fn;CfzO-qJaGic@-i75LV-yT@7TFMv@h%WU!ZKid29uo~C)?WdF>8!x-4c4D*A
zl0;=_lsT)SSsKMEjnW{^NjA1Dv6o6H87h@#ny0lltyD-UrFoDvOOqnL^Iq)t_x=4H
zzdyfqY{${AH9gOB-`91X=XGA!Gm(tj``p3cg|!L_2H=1O7}_$7Zi!UkrAy<X$rI-_
z29{jMX*>D(<B|22`9@q(bxZ~`<=Q0A7~b6}Xi_HF&cAl;+P+tJ&w>S?X0RRWlH#!H
zV556J)i#5RjE0Ua0dN<SrRs^kX8hZMjBoVUs;_;syxCw*y7T7Eb61jp_c8%--qSe6
ztZwK~P}9+6)>O71a<&vh<Lk$>*)A<I498b@&fMJOaL>KFf{~vkdC0;d3a5KLlZA%w
zB;d%s*Ebw~1KjyIaK<+-Hujn5ecW}z9+V^7a#2v*3Di7=7A?9izt=d)2&(^O@-$qt
zimEDI05fB2YwLLV#fukD!;o5=V!ri7j7D4hJ4&bm@`SL6h!m5BCZoF~BYzg&;p>|Z
zTS^KX(c8JA`)?@h!PfI~J4y*AqV`HI7VLM)=xJ>jQVMFiPtE15M+)BymA@ABFdp_n
zvMAq9G!^;fpqqblX=$kg8cW4DJBHDEks5t5;U~*?+)<1<hFq5jzMWbqKux|S1I6}7
zDe2dwl;$f2+T2jE4I!f~5{Jk8>qR6alF`uM(E0SDxRUFg%29s$AtZET9UT@r*JH6(
zx*c@jzRj{JU!p$s?wZ-7WBd7}1=_U&0|WEjy3QYEGV2O`JPNufmn-}$DWU-%z$r7t
zzpQ{Sr>3T--#31TcgV3hH-qH9J`issZ|~ekML3j@D_2a=rv~<<X7Y57UQon_!>LG|
zAAstGgoF%`hiYMfkewk>7z5`kMek$JCTfMtY>5@ryIOI5LmJWo84F|xUOKwzJ&KO?
z$b}C$ob6IHny~9mD%I#`Xa%G)#&R7Xq4gkFz`B4XwhaOEz2&9TH7PGNU`mv$%-rPj
z>7C9X+8Xj@D{D~N5R%<M)%(CoHHO&m0pGk9c;oi*5nVQ5|6Q#1KGdOwzf+6CGuC;#
zy1L#j6A%<+u;mUHTdcf6HApkn+Yxb^q6Fv?2&3sOI2alOhwx%F63z)m#q_xtx5+C7
zUn$BvLcz9TA3Ib+ncX8V7NE%G|0scoVmQ)Sy7|<=p=gcMt^clxQ(}i3rt(x{swWX>
zZ!~I0$gb^u<9h@#(qofj?Y;<G2UwnbBo#4tK#VCYE^Zc7PBnDExmnGY(mvT;A(CZZ
zy%UXUnIr~>G%Tm6;NW1A^~hd@53~GrBw~P4S*zUr$jA)8jnw4z*K)UOQjP{98_j=B
zxtgGUcJE;Fp}RPeUf|4X_!f){y+@qCtdW*>f)UNE;8Y4rzVGd$2bW&+)9uA7g9T>K
z?nB^qY%4DMIx{1(WXUQGjS`D8ab|<)+(i;w`1q^~fImKf*@fri<N(+ukSQqj-^itf
z#vK+B5&!*b)%RL7Ttt^4g+9P)AaN|@^5yj(K2SrmF0AgEvxFtDrLFC8M4TF`$dt`;
zertd_Au>UCMYthWS#7eZV)%x`R$S2;3`lE4iGwUF$T8)avg&B%H7f}$Y8l~cwp)1N
z$yBYbRi!vr)HI^BYT1u)TmW4q;Xt&CmX;Qq<~iJIiEM6wWF4(I1=ZyNR0n&s+neRO
z-j%I1xVS_L_mbPD4xIMVgIEa~Gnf|;`PY-1wPjl@3i^8S;>GfDZ|Jj@VFEz~1+E>z
z$U7gJ2i851(ohI2^+CgEmj9HypnyQGEU<??h7Jy!O-QS#OmB<lYhEF^opL#XJvI$V
zJs~zWwjl5?^9U&o4UGU~Uc@V}?6R`5bqLYyO-KF_*zDYpzH&9{Ccni#ctGxwcN35w
zMz`zEU&!dVkdP1qw4r%K+x|jv&IV%}=eWIlws?V<!tToJ8>-y2il21oVTZxf;$4@Z
z|D<#tQlKh4CM;4zu$YyL`a=>nSj6UFKFa$Ql2`jFko)@|KG>66D&$q3*uFi8<Zt+`
z5{{OJY>^gl)i6%8QZHk2MN7-d3O16V1noXNs9~Nlk5q5<(s@ghQfok$%yBOuh4%Q+
z6&geS0bkyq&dF)J)Kn#?HaC)QE@u#}6Z=(94ZK3)2#<<N#x+VbN;EiC2HYa|5inci
znGeFmAiwg4py2NAZmHfkhJ3ILn>G%YM)&Yb3LvBBUdGk6M;+EI-TI7yfkD(DxQ8*$
zZ}fLHj9v%;;E=J*e|#|2!l&NyEarfAbhs)By(@_B76|%hEi>_|>UF^>byfdIPv=VR
zR^$JLv);KS-xzD67O3mwmw<}{fqdRbXd)saabaP?DHeGKRcfQGb@%xp-f|@bDKU35
znLng<2Yo#<8$r~v&|5#tvCd%UPHfF!>}on$&EtJ_*W}k!{<59X*PQnV;VC{Lfexrt
zj(kHNxf;hvkU>o{?CRA!h=Ipj3zc=}e>#8Rf)hHtFgfMc{2v2Q^t@ZX>>8z9WBgJ3
zQQ+F6OUkG9@<W_CcI@ZRpMzQG>a~zvxpF(;QynIqDr7<Sv4Uf@9>q{+t=XJt+}}hK
zazk}@<@Hgu_el6J-8g5@YX<Q($l+zks0W>$lW%T4G2~ozNI<PXGYIq8QUF?g{QUZ{
ze^W!@z7^VcpzZs@3%l?ibm;O=9(+M_bX`i;y`urd0gWQR5Ad_*EL5cU8itTU*t8QT
zhSjbx$OaTycQARo0*WqvHUk4US~m1Nx1?M(K7L=K_9uz7mQ$a)r5Ku_66K?j0R9Yi
z@Y%ETSE2tboq?rD>qR+#i!@)mLrqN$jj<;reL26R+E?>MoKwI>uOTmI9W50a|4`kP
zI<vmA207S<MRZ2XtI+v#wXo@Nabz&f&Hy3E7%x#&mvVjoTr8ZfzpAb0MZd}uO3j4Z
zcn`ooLwR1iFBVwC5Tu?O1nhCx5c<#{c};wabEMOE6dxVI`4qSbXe>^hhmH}8PSl8A
zRfMk_M-#Lm(X!*25w^XkqP?6{zAT?SDJblYD^Zn=^ggJiqx0Nz;PP)<g#qyZ%F0DO
z>f5$bx=+`vq?&iayehnWc}h?aMW*%k!Mp|3xRS{_HPoC)mPd20K2joSoTo7?^G{Y|
zXqWQ=nCymfP?&Rs>lzYBO@MNYJa_8D3bM{$U-?BWj@8sO1ehwud<-Kx#F*YdO@U@{
z5|BDNOD{Rrr$*!bed;&3Rb~=Q2xOV)J<=(sg<WkyFl5N3ORw?%C%d={_UzsbxP?1V
z9LDv0J~`#>NYR@Ww#=PYmoZL?g}FK5G+NbvU#yp_hnTX(rL`~-vatyf{zgJeVq#*z
zUlIr!+_r6-+yQ*R09*cx-EeDBl4U`5iyM`D2ry<e%huGfDH|Dy^u=P#TSS)<ljR=}
zAR;Uri}PHtN~S#mi^f%z!C-`3yr>U=xMax^l5<eACj_peql4`Jmc<Brm!Mqj<%$w?
znq&|cf)8n6-QwT=4PTJA3C~r4F4Gt|9-!5M6GF`kaAvYA8>$~dew0Dhyv?;J3A6;2
zx<<n)O5*TZcqzRG9^}99<o63t?n3%{=QADX?_aoc=gxPoN?|u|nsG?XT?dlc?fqQz
ziI+x@PR;ArBDlIRg7*V2X&pH51}bX8ojWV-VhFtjqqDNIlEK9P%MN^g8+DfkndjE~
zEpC1SpfLJzX5q>-g0?WCKzYTymm85FbObrjMf$M%^pL(zPLDZ=Y_Mvs)8{kCSJR`%
zJ$Rs95pW&{NsqdB|NdYob>~00N62}!B@P!l{6|zY0n}WKnK^cu#j1sq44g>Lp`0y6
z$iTxc{_K0y+&g*|xlhVMIe<I2VFznk&KGn`6?Y%FckdpJ0nk|oWBolK;qnewo2It1
zGEHpVI`FQ??%i5oMeSq}xR+g7QI$P|_yfMbJC%8&Irr}8&)%28!?~h$SXV1ok(#$F
z6MlXSdr9hhlkyPl{Z?2ZUdvx++G=CFYJ*Fh+_95W#Ct<bqN}VqW*Whp+Y|E;{U?*F
z5h+|(qmWuP5-GoTWMo86XBKC9ie<q;t|;yTq@-J_!SF>h42>auAd3FXKFAzL$LV%A
zYf#mgANXZ@8k}Q?Z+E!Kkcli3*P2jC^_yK818*kyKej9Te2S$d;=KDvUdtHKba!_@
zW5eGphE*cB6=6{4yTszfzcX3rR|qgpJ|th}#uWvKmZ8)4-MxF)D}eZfg%5ar11I*X
z$Q8R9bF>u>rZpEmpN?4bz69z2?~Pf#Y88zEVb1_LZ17Jk&E{v(8tW)dG?rijM0gSb
z9p7f!-sa-U?=Tpu{DrzL^JUPD;+(_9&B6^qoa<+k6&<8X7CZtFMBrzJ-*HiUhfjYm
zV98@k9p`&6tNBXCr$--nb0(;u7bLQvuWlbPG{%9NnzFHcZCKUNyQ6iNLF77t>v8Mo
z(W4;UDQH$r0+v6uXO8pVzih{6A?qjnasE6nJOY5DAd-aHk2`QnJ1@yLm~-I^TDND<
zo?e1wkq>NH)tKr*|JHHlDPHbki#Q5ASO;k636vWb7uVg`CVC$h=R7(<F3#5x(+CnU
zuo1iScX{u9%lz2>x41@N;loZomvaR5prFTB1lLg`*2(R%LlIKU=a!fLAg@)cN8msM
z!-}<Q*6i)=?Y$8SY>ns!I<F09Q~KK9tu>(7ID27I>}H^Fz`K_P9#UFiddN2tp#^D1
zu860>p#<7+URdV2?;(5^`5hU^2+cM?XnJSPoH?aA%UP3fZbE8%LM_sYr;{)`BOZ~f
zaXInJP}G&}<nKu)X{n(9iCC>S)%{4U!y`A3#KM}Casi*{4zG@X1oz)oGi8tAtS>vX
zg|nO&VIW?C<k|yE_~MqCP@3>M&I@IUg^1^v`dXK2sjAED?CJtW|3{_Mdu2<2+j@#_
z4V8yYJAL}J-&yiORQnlTmPPiUG3G3ie5{PbMNzupZ1yUQs+-9EH|x1zA7sjEL$%0J
z6(Ubr1OOq&FvxT79$3KNaOck!KB^tvZZ+hlY!2|Jif^<I!UB3~$!q*3#kKP60Du=H
zjmrNfI#^S6xT2fERj}DzF7Mw?HOO^U`lGj`vC!uc5ECKd*w)(Ms9ww4Fm&VRiQg-B
zE70Z{-L|>))Yb@Fgc*B81IL#9@qntixr)5&*K^$`P?U*?>l^bc@pQOKFDx52|NA+j
z5gPXEP(WCw4rz6At%#oY$GID+98M9rrj)X>`@26$s!6gc%4f+>qppBc$o`pXjB$w(
zyYqggn)H^z!|%zfTpu9O*)&N?NJMqX<MvmpIpnw4b#uN1EUG5g1`k&!qB-#%i@4%J
zydUno0(Y)QetPUT=>j<d$=xZ>MZum`jiq7{`JZ&c5aiH4V9qctaaC*_7ChXF7jn+7
zRaQ3D*Vn&^DUlJuF}9`(TpNdLVR6g7|C0{fecesTB}K)WrEg|t7JrJVlj_ww6juHH
zr3d-^kNy$1L{uPhA2^P+HO6Bkk>0Ix(fgR4zZ1e*J-{N)oeY!Z_$E0~NJM5I8{y=5
zF+V4ZKy_OL_wd1%?5IZaek)aRFNIgwR|pWOSKWuY(hJ&m5Thrg81nM+Z15V|i%9uh
z2yodiV>Hs>+xviK@N`8L>-m7X<U|DRi~|}Vj&p#`)CIp`#Pq~)TN>E4?U%4upeJ?t
zo=(7J1Pd9sx~4DB;A=|%F|CZE8+CSe0@<OL{!?uUq5@fbOMd-zGsZ&mADEN70t<pX
z?&vXebi!yLEG=)}4-O9c2Oy}*GQrpA46|Z?9})!@;dGOSUV`vicPH($pxP=;E~f*~
zbt%i#x-Pe#q2kuL``>5Efrf;4#jrN;w(Yb1T=76MBq-ZBL2pNCh{!b>W@zb}awSww
z?qlP0_67eD<aZYtCQi1pVw^Xzpm{$gzS9__Qy^Q6NvJKO2IN?AT$jP9#?&1t1^~32
z*1X(B@lBL#BA8ggYV!T)??3|xbM6ILcm)eZ)L>fSrx0S!CejL)IPSw$00og~GJ~x}
z=3G(W;3wR7LF%m1Fk-^OG5#5)?spIfC+tbbE5Z(r&n8ZgKD^^q`8BUaf&0Y8lK@I9
z>g((4{^Bzq!9F1mx)D(=!GA1E0@V$nqD07=-b0bG53@4e<u)7TpL9TYU#p^WvvY;y
zzURpH23~>6Z7)UdBf~F?Cu^p?oGb*)*9l)|B3H@U-o9fe!lAaZ1n#)7g-c(*{>3>5
z-e-OEcjo8k#QjSi@jFR6-jVk=N=+1;g8Ud{jx;tHpz%O{FY3X0!##q{V*mXU_=f_Q
zo>NmAeap{g>_tj+R@ulM!q3RVRU5^F3eU+_#I}A6#bmpPOe7slNy5BO+&c^Awmy`(
z5&F2IP`&9&N)1wZd|pqGr^rL^L-L`Fog0eA*Z^^x-QVp45T<Y3xX~~M80y7sb#qcu
zKzc(4O@yblAxt#=e-@a8nztTK?!muS?Rk9U$!uUA>H2S&RQJg2vHji0k2gUTOho#X
z(-O*^a{=*{_xRL>@ht}p4A>C50_!_tXbAM?=!35Z$l2`Dth9_K&^-UYYdF~~ON$%n
zKe*&8<bEwSM0iWR3@T?2AJ6AR3Co~%Up^Vhda?T@8fHp<YJcQ|=tj_Yc)Qm}@)2h7
zG7J#B=dWDc-pV8QybTLdi4(ITVC=7jl4{=d-;h9R(L99Xg_pVG=UV4|YoTz|AfI)(
zet-flG=Ki<wr>+#A%$(zE<vr#9+IVFYhj+8RUw_p!U!_QT}L@qU?!DAKfWe4B@gXm
z0d8%TmmMR&7YV@-v=AQyfiDT7>a$E)+puj!O~R)%i2ar>`0ojzuQ$!yjeB*RKM=ER
z(7BR6x7BKBu8>d-gs!?c?Pb^P1e*E&eXc!8r#MIw6(?}FFMnYrFks|YL#UjPP(fNx
z+`7g;f&I%nCdzvw^sXO2s)_!57X)UJ4AmdM+<u_2u+UxY7)$?$-gfTSpHFJfZpf!T
z&-^@*R1VNTgpoV1m=L{r56;;i+6n%r{cmppp2v{NO#uS$0crTTiG-vjc{d)UD3{8P
zXHy+}m@Hrri^$pZD1>O<`!v4+p#Z=a_Wi$h%&j2a->{EZ{40O_*#7sw-{pVjmz-J1
z#hwaWa6$y5x69|?V+8;BfBv-GGuS3F(7=er$tcNa?bPSb38)VGLeSl0TOkaUMZPS9
z6c*8t6%QnuXkUF#1{EAQ9Nb_+(ac90QMYq^9e){c7v_=F8L0Pz&HI&9#mey0dPYcS
z=s{GQgrT8B*6Ia3tb+udhP<WIRs8*%A3+K)0|9y7fGM4X=Sbp_5iD<9(IQM5WyiwJ
zn}GJCB(tofkfrN+p#xQ`H&AvyeO0#U8LiUrvZ_bvApG|2R3iRkYzN9ndeDT8O9BG|
zVBiDmdpV*8JW3>20u(Wc1c5}awYBxr<fI7{WB|*J%QXVk>SevYsUxa<CrY1jk*_D>
zw+^^@9YNVZlD6U)1hfrtC;<nJ3Y{@j)6Lc#3Of3`Ud7Ka9oH85c@aSqe+)-~h?G<a
z8DA!6@$5CwTF|9KxLoP`-Q6?CQ429+yU)NIG;Aa0H`uuOA!OFP(D@4&W`iNz81&QB
z)KvYlM^n>IxfS_Yn~f~pZ;{pk&$rucY1N#=PjJ3unL62~V6rYyTI;lQb#utD^{&lX
zC)!%IV9}o_LILY2BNKebX}wip!>7^F$_WWj-Z$v*jPCdBK8D=;(qpi#qz#&cWvI^z
zzXADv>;<ox0r%;yo*p~AN~ugX=es(I<T9q2HrYLE4;L4Xqoe3hgsth}fbsC|uC8mx
zO8|2Y;WAf@%pm!kAjPTr=McVfw!rmO6|(`ryM(uOtgnrYot(jlrCN-up^*%HbK{X<
zR7kRzWeeA%D6o1j>lNvQ9Q=%WlOxD6I~E6J53RJZIG`Z#>xkwLMFctJA#fF<M_6U*
zI%#NKuL$rwckWy-E|&oW3fN)hkg6E3wc;|0M4-E`p#0U|-8Bd1y?sOvMbH#kx^xX=
z8VxI(&@o}r<^*Yk$nqFV{(Au6KX}e197HnKSY>^^iGzcKFFa&0q~)~*SOSI_o;>*&
z=l3Bxunv%S1gaTBAy}J@LPk89>(i70Ar+;X8YH|_v~V~=8zWLT3M;=YSh3B55FjiF
zOhr#T95^LaF99rm5L*1Z;o&sMY);U>31!3md~8|zU_+}`uO?Na@!r>(U{SBY^2yo8
zLU{=NkR6M4>OgK1Qd~wPFG<N%Y^{pQN^O`@-r$tuPTxyQx!gXO6^y`b!=Zwbp7F}$
zT@+>gYr(p!SfGoNU<X#Q(?OB^Z9YnQ*)xcK$?)GDb2KmZ&+~8wP)vpuz(x#H6i?d4
zNUHnVC=d0C1+kOKfYBR8*Kgi*#Dy?rC*y3Gp`QK*-~LgQ^xC!M%1_creXiJq>&7^U
zGm!$eY}-3}<@DDlZ|%_Bl4oUpz$J!{Ud}_`+b{t!2Xxqpk%@}F6VixHuLorJei(a{
zi>vT8lVMdbV<(fYrzYvHVFnwF;wUzxO|K$$wOtG<nx>F{asbyd$NGWWq{?LsV)teD
zVAR(iQssyMIY79XFFY_ccpaVojBP{4+m$)ZqNvm#P=wS2`bh(e6eC>5xCV1FjG*c{
ze^HTGNW=%jCd^%>F%V4%$@KU4&tyS*j6q3Rig9V#hBwfQhI*vl-GUN_o<TVjtaS#l
z1IZ$yF-%e|^uhDSh$-c5=rCqv(i~t&fTn1WIy?yvEK%uA8=-k5wzpd|44j<@)GaFq
z@%MY=h#fXSx&mFNGp1o89z!s+>otUJ0Sa=D_Yk6WFB%WRXv7*3VcUJv7EV|hd}PD~
zwtvf%ioCo&j0IsaF^3}pVKlpX(&<<yPORec0*o^rZ7U$6BNoxiExT~wL}6#tK>o~3
z9z+VXAeBriXaQ7^IIIk<eB*?55Swn7#lz46{?8r*Jb#F@uRJk`)8X+P(Q8QkW57pr
zZYQD^@>UX6urs5c@JqSNhP1Q}qe`e;Y=VN35x9o)6<%3RhM@w#6>d1nYZ2?pXu4$M
z<CBJZOFy37SaP}q<b}+`Ql9TAR_5M`4MRMSO-uq~5ILk6DBjkSaZ1Nanl#!}N4Za*
zDqTuN{;V8V0nL(PXn_g9=;J;J-9X4{aRIJ6rS>P{Z?As~h@<~yb^p)l9(Hem6}uZJ
zC%PafSJr=NK0(UxBatN~r;EQpr;sWOgiKknS$psA3OOF{j9rF3{r*;bFiAYw1Uiu$
z;-osg2L(++;&>}Lf8M-uH|b-&Z|uB~LHxe?cXf6~rJW59c7NehfPrG~^AIoTqC7_H
zd^IxigMW0)(GVIba8Bj>PkqXpNYT5yGrMcxYRl>eViF5Ai@!k0X?g9}5_r4$<zFTx
z(!<ylgy7rlm~_FGJf*AbQstiJ^Xrl&pO(m9DzpMgp)2v;UnrybnE&5J<h!BO7P;~u
zgw0LZI_j8QlcazDJc!w#MZFv79FeVQEuITF!6*H8e1zY+!gKJSCY1aW@2rCGss?Ed
zG2|>%^PYaJtLE{)>Y7@<9qI*?yy?`|w4&s>!%R_>&GXsXy1G?aD{iSZ-$Lc54}v&5
zmQ+)>I_F($QQWE+hM{0n`4)NZ!V~zKyLlEE&TOcc?!{Kf>BU@N?UpIg9uP8*!2-m-
zo_;K@_x%A1TQ29icI-@@0cMU&8|{pMbwE4cIPyi}XK7n2zp4XbzdhJT+(pNAK#V_K
z`mut=H`%v07kQz_23W@NcG=Rk2D?$AkD!s1mv_tc6ukev5`Z?h{B4sDrreA*7c7q2
zlD<zzrxv{Ylc!ZP8*H9I0%hnU*=yIXZT1?nFyU6{lM4PvHOwG1U!gghqNa8cYQUL|
zQVww;(RzWD;Z?Z;#s0?eHe|)<Z2>BV=0-*^Dqt7-!es}oh;7@9_#6)^r^Uv$XAi&F
zs}RD%)R|hm{E-BxtiFwnP3mukEA5a=!LX)Kv5o2Wh6f6X;?dWZrqZ^y!$47Cy!k<-
z1Ii;n?JEL+=h8d4YDGMF+CY<$(L#e#Sgg4d2XsdlrM_C6s4S1311X?kxW{oQai9QU
z*@-u0Ff~bWmrXQhl5YV9YO#wR<Mi#>yO*HJniNePh|n>^{;2O6A$rglu!YosOA|T<
z_C=&py+en{eFWpv)6?5V<<-)OUx18^Wv^PbYOD>n(1DNQ^62RCH_10}J{|zJHAIcI
zp;!r*;2RzGCWr+@Mnn%#HTkL#&5#89;WpI=5E+9(wV$Z4FD~LJNv(&XvfY#<rU^>R
zIdK@B4tj)CAu)}r1p-|FFV&IUjrw{brUaQz3(T3*k9H(Ohz+CBRnWGG`MS0^z)wm_
z%Hf|s<`LX7ntT2F^>65U>%|};qKFn(eZTV%rXj4B_-D`dfy7%PA=iPrDUOrd<kg}`
zXi-1+WE>6@C)Ai{NAVsx3K^kEdEG|UIIVE^BPtYi^;e#F)9?%y8lnI}x~ePiIzeoG
zMEtmN<q86MGL#^zn84{oGF#d<IV~-1=>{ue=SoCU6<WA30#D=T=O@Ysfj{Wq(*xQa
zR&E1_yo(Ey0Kh<=20H-}1hbq>Qc%K#XfnOr<O<A2zzIoEj_^rQxD4<mkVX()v}$C5
zeGP=(U?9fAD6tC9`!9vav|)%~1EH*^k1a!Lxu`7M9{-(>a{ZNibleJ;0S^vSe%4O{
u`qBD-l)Jq@$usr;f5|&di~jdc$oEB!rBrG4Z@ihi6l2eU-KjgRgZ~eAJ36oc

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_static/jquery-3.5.1.js b/docs/0.10.5/html/_static/jquery-3.5.1.js
new file mode 100644
index 000000000..50937333b
--- /dev/null
+++ b/docs/0.10.5/html/_static/jquery-3.5.1.js
@@ -0,0 +1,10872 @@
+/*!
+ * jQuery JavaScript Library v3.5.1
+ * https://jquery.com/
+ *
+ * Includes Sizzle.js
+ * https://sizzlejs.com/
+ *
+ * Copyright JS Foundation and other contributors
+ * Released under the MIT license
+ * https://jquery.org/license
+ *
+ * Date: 2020-05-04T22:49Z
+ */
+( function( global, factory ) {
+
+	"use strict";
+
+	if ( typeof module === "object" && typeof module.exports === "object" ) {
+
+		// For CommonJS and CommonJS-like environments where a proper `window`
+		// is present, execute the factory and get jQuery.
+		// For environments that do not have a `window` with a `document`
+		// (such as Node.js), expose a factory as module.exports.
+		// This accentuates the need for the creation of a real `window`.
+		// e.g. var jQuery = require("jquery")(window);
+		// See ticket #14549 for more info.
+		module.exports = global.document ?
+			factory( global, true ) :
+			function( w ) {
+				if ( !w.document ) {
+					throw new Error( "jQuery requires a window with a document" );
+				}
+				return factory( w );
+			};
+	} else {
+		factory( global );
+	}
+
+// Pass this if window is not defined yet
+} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) {
+
+// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1
+// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode
+// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common
+// enough that all such attempts are guarded in a try block.
+"use strict";
+
+var arr = [];
+
+var getProto = Object.getPrototypeOf;
+
+var slice = arr.slice;
+
+var flat = arr.flat ? function( array ) {
+	return arr.flat.call( array );
+} : function( array ) {
+	return arr.concat.apply( [], array );
+};
+
+
+var push = arr.push;
+
+var indexOf = arr.indexOf;
+
+var class2type = {};
+
+var toString = class2type.toString;
+
+var hasOwn = class2type.hasOwnProperty;
+
+var fnToString = hasOwn.toString;
+
+var ObjectFunctionString = fnToString.call( Object );
+
+var support = {};
+
+var isFunction = function isFunction( obj ) {
+
+      // Support: Chrome <=57, Firefox <=52
+      // In some browsers, typeof returns "function" for HTML <object> elements
+      // (i.e., `typeof document.createElement( "object" ) === "function"`).
+      // We don't want to classify *any* DOM node as a function.
+      return typeof obj === "function" && typeof obj.nodeType !== "number";
+  };
+
+
+var isWindow = function isWindow( obj ) {
+		return obj != null && obj === obj.window;
+	};
+
+
+var document = window.document;
+
+
+
+	var preservedScriptAttributes = {
+		type: true,
+		src: true,
+		nonce: true,
+		noModule: true
+	};
+
+	function DOMEval( code, node, doc ) {
+		doc = doc || document;
+
+		var i, val,
+			script = doc.createElement( "script" );
+
+		script.text = code;
+		if ( node ) {
+			for ( i in preservedScriptAttributes ) {
+
+				// Support: Firefox 64+, Edge 18+
+				// Some browsers don't support the "nonce" property on scripts.
+				// On the other hand, just using `getAttribute` is not enough as
+				// the `nonce` attribute is reset to an empty string whenever it
+				// becomes browsing-context connected.
+				// See https://github.com/whatwg/html/issues/2369
+				// See https://html.spec.whatwg.org/#nonce-attributes
+				// The `node.getAttribute` check was added for the sake of
+				// `jQuery.globalEval` so that it can fake a nonce-containing node
+				// via an object.
+				val = node[ i ] || node.getAttribute && node.getAttribute( i );
+				if ( val ) {
+					script.setAttribute( i, val );
+				}
+			}
+		}
+		doc.head.appendChild( script ).parentNode.removeChild( script );
+	}
+
+
+function toType( obj ) {
+	if ( obj == null ) {
+		return obj + "";
+	}
+
+	// Support: Android <=2.3 only (functionish RegExp)
+	return typeof obj === "object" || typeof obj === "function" ?
+		class2type[ toString.call( obj ) ] || "object" :
+		typeof obj;
+}
+/* global Symbol */
+// Defining this global in .eslintrc.json would create a danger of using the global
+// unguarded in another place, it seems safer to define global only for this module
+
+
+
+var
+	version = "3.5.1",
+
+	// Define a local copy of jQuery
+	jQuery = function( selector, context ) {
+
+		// The jQuery object is actually just the init constructor 'enhanced'
+		// Need init if jQuery is called (just allow error to be thrown if not included)
+		return new jQuery.fn.init( selector, context );
+	};
+
+jQuery.fn = jQuery.prototype = {
+
+	// The current version of jQuery being used
+	jquery: version,
+
+	constructor: jQuery,
+
+	// The default length of a jQuery object is 0
+	length: 0,
+
+	toArray: function() {
+		return slice.call( this );
+	},
+
+	// Get the Nth element in the matched element set OR
+	// Get the whole matched element set as a clean array
+	get: function( num ) {
+
+		// Return all the elements in a clean array
+		if ( num == null ) {
+			return slice.call( this );
+		}
+
+		// Return just the one element from the set
+		return num < 0 ? this[ num + this.length ] : this[ num ];
+	},
+
+	// Take an array of elements and push it onto the stack
+	// (returning the new matched element set)
+	pushStack: function( elems ) {
+
+		// Build a new jQuery matched element set
+		var ret = jQuery.merge( this.constructor(), elems );
+
+		// Add the old object onto the stack (as a reference)
+		ret.prevObject = this;
+
+		// Return the newly-formed element set
+		return ret;
+	},
+
+	// Execute a callback for every element in the matched set.
+	each: function( callback ) {
+		return jQuery.each( this, callback );
+	},
+
+	map: function( callback ) {
+		return this.pushStack( jQuery.map( this, function( elem, i ) {
+			return callback.call( elem, i, elem );
+		} ) );
+	},
+
+	slice: function() {
+		return this.pushStack( slice.apply( this, arguments ) );
+	},
+
+	first: function() {
+		return this.eq( 0 );
+	},
+
+	last: function() {
+		return this.eq( -1 );
+	},
+
+	even: function() {
+		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
+			return ( i + 1 ) % 2;
+		} ) );
+	},
+
+	odd: function() {
+		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
+			return i % 2;
+		} ) );
+	},
+
+	eq: function( i ) {
+		var len = this.length,
+			j = +i + ( i < 0 ? len : 0 );
+		return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] );
+	},
+
+	end: function() {
+		return this.prevObject || this.constructor();
+	},
+
+	// For internal use only.
+	// Behaves like an Array's method, not like a jQuery method.
+	push: push,
+	sort: arr.sort,
+	splice: arr.splice
+};
+
+jQuery.extend = jQuery.fn.extend = function() {
+	var options, name, src, copy, copyIsArray, clone,
+		target = arguments[ 0 ] || {},
+		i = 1,
+		length = arguments.length,
+		deep = false;
+
+	// Handle a deep copy situation
+	if ( typeof target === "boolean" ) {
+		deep = target;
+
+		// Skip the boolean and the target
+		target = arguments[ i ] || {};
+		i++;
+	}
+
+	// Handle case when target is a string or something (possible in deep copy)
+	if ( typeof target !== "object" && !isFunction( target ) ) {
+		target = {};
+	}
+
+	// Extend jQuery itself if only one argument is passed
+	if ( i === length ) {
+		target = this;
+		i--;
+	}
+
+	for ( ; i < length; i++ ) {
+
+		// Only deal with non-null/undefined values
+		if ( ( options = arguments[ i ] ) != null ) {
+
+			// Extend the base object
+			for ( name in options ) {
+				copy = options[ name ];
+
+				// Prevent Object.prototype pollution
+				// Prevent never-ending loop
+				if ( name === "__proto__" || target === copy ) {
+					continue;
+				}
+
+				// Recurse if we're merging plain objects or arrays
+				if ( deep && copy && ( jQuery.isPlainObject( copy ) ||
+					( copyIsArray = Array.isArray( copy ) ) ) ) {
+					src = target[ name ];
+
+					// Ensure proper type for the source value
+					if ( copyIsArray && !Array.isArray( src ) ) {
+						clone = [];
+					} else if ( !copyIsArray && !jQuery.isPlainObject( src ) ) {
+						clone = {};
+					} else {
+						clone = src;
+					}
+					copyIsArray = false;
+
+					// Never move original objects, clone them
+					target[ name ] = jQuery.extend( deep, clone, copy );
+
+				// Don't bring in undefined values
+				} else if ( copy !== undefined ) {
+					target[ name ] = copy;
+				}
+			}
+		}
+	}
+
+	// Return the modified object
+	return target;
+};
+
+jQuery.extend( {
+
+	// Unique for each copy of jQuery on the page
+	expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ),
+
+	// Assume jQuery is ready without the ready module
+	isReady: true,
+
+	error: function( msg ) {
+		throw new Error( msg );
+	},
+
+	noop: function() {},
+
+	isPlainObject: function( obj ) {
+		var proto, Ctor;
+
+		// Detect obvious negatives
+		// Use toString instead of jQuery.type to catch host objects
+		if ( !obj || toString.call( obj ) !== "[object Object]" ) {
+			return false;
+		}
+
+		proto = getProto( obj );
+
+		// Objects with no prototype (e.g., `Object.create( null )`) are plain
+		if ( !proto ) {
+			return true;
+		}
+
+		// Objects with prototype are plain iff they were constructed by a global Object function
+		Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor;
+		return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString;
+	},
+
+	isEmptyObject: function( obj ) {
+		var name;
+
+		for ( name in obj ) {
+			return false;
+		}
+		return true;
+	},
+
+	// Evaluates a script in a provided context; falls back to the global one
+	// if not specified.
+	globalEval: function( code, options, doc ) {
+		DOMEval( code, { nonce: options && options.nonce }, doc );
+	},
+
+	each: function( obj, callback ) {
+		var length, i = 0;
+
+		if ( isArrayLike( obj ) ) {
+			length = obj.length;
+			for ( ; i < length; i++ ) {
+				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+					break;
+				}
+			}
+		} else {
+			for ( i in obj ) {
+				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+					break;
+				}
+			}
+		}
+
+		return obj;
+	},
+
+	// results is for internal usage only
+	makeArray: function( arr, results ) {
+		var ret = results || [];
+
+		if ( arr != null ) {
+			if ( isArrayLike( Object( arr ) ) ) {
+				jQuery.merge( ret,
+					typeof arr === "string" ?
+					[ arr ] : arr
+				);
+			} else {
+				push.call( ret, arr );
+			}
+		}
+
+		return ret;
+	},
+
+	inArray: function( elem, arr, i ) {
+		return arr == null ? -1 : indexOf.call( arr, elem, i );
+	},
+
+	// Support: Android <=4.0 only, PhantomJS 1 only
+	// push.apply(_, arraylike) throws on ancient WebKit
+	merge: function( first, second ) {
+		var len = +second.length,
+			j = 0,
+			i = first.length;
+
+		for ( ; j < len; j++ ) {
+			first[ i++ ] = second[ j ];
+		}
+
+		first.length = i;
+
+		return first;
+	},
+
+	grep: function( elems, callback, invert ) {
+		var callbackInverse,
+			matches = [],
+			i = 0,
+			length = elems.length,
+			callbackExpect = !invert;
+
+		// Go through the array, only saving the items
+		// that pass the validator function
+		for ( ; i < length; i++ ) {
+			callbackInverse = !callback( elems[ i ], i );
+			if ( callbackInverse !== callbackExpect ) {
+				matches.push( elems[ i ] );
+			}
+		}
+
+		return matches;
+	},
+
+	// arg is for internal usage only
+	map: function( elems, callback, arg ) {
+		var length, value,
+			i = 0,
+			ret = [];
+
+		// Go through the array, translating each of the items to their new values
+		if ( isArrayLike( elems ) ) {
+			length = elems.length;
+			for ( ; i < length; i++ ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+
+		// Go through every key on the object,
+		} else {
+			for ( i in elems ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+		}
+
+		// Flatten any nested arrays
+		return flat( ret );
+	},
+
+	// A global GUID counter for objects
+	guid: 1,
+
+	// jQuery.support is not used in Core but other projects attach their
+	// properties to it so it needs to exist.
+	support: support
+} );
+
+if ( typeof Symbol === "function" ) {
+	jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ];
+}
+
+// Populate the class2type map
+jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ),
+function( _i, name ) {
+	class2type[ "[object " + name + "]" ] = name.toLowerCase();
+} );
+
+function isArrayLike( obj ) {
+
+	// Support: real iOS 8.2 only (not reproducible in simulator)
+	// `in` check used to prevent JIT error (gh-2145)
+	// hasOwn isn't used here due to false negatives
+	// regarding Nodelist length in IE
+	var length = !!obj && "length" in obj && obj.length,
+		type = toType( obj );
+
+	if ( isFunction( obj ) || isWindow( obj ) ) {
+		return false;
+	}
+
+	return type === "array" || length === 0 ||
+		typeof length === "number" && length > 0 && ( length - 1 ) in obj;
+}
+var Sizzle =
+/*!
+ * Sizzle CSS Selector Engine v2.3.5
+ * https://sizzlejs.com/
+ *
+ * Copyright JS Foundation and other contributors
+ * Released under the MIT license
+ * https://js.foundation/
+ *
+ * Date: 2020-03-14
+ */
+( function( window ) {
+var i,
+	support,
+	Expr,
+	getText,
+	isXML,
+	tokenize,
+	compile,
+	select,
+	outermostContext,
+	sortInput,
+	hasDuplicate,
+
+	// Local document vars
+	setDocument,
+	document,
+	docElem,
+	documentIsHTML,
+	rbuggyQSA,
+	rbuggyMatches,
+	matches,
+	contains,
+
+	// Instance-specific data
+	expando = "sizzle" + 1 * new Date(),
+	preferredDoc = window.document,
+	dirruns = 0,
+	done = 0,
+	classCache = createCache(),
+	tokenCache = createCache(),
+	compilerCache = createCache(),
+	nonnativeSelectorCache = createCache(),
+	sortOrder = function( a, b ) {
+		if ( a === b ) {
+			hasDuplicate = true;
+		}
+		return 0;
+	},
+
+	// Instance methods
+	hasOwn = ( {} ).hasOwnProperty,
+	arr = [],
+	pop = arr.pop,
+	pushNative = arr.push,
+	push = arr.push,
+	slice = arr.slice,
+
+	// Use a stripped-down indexOf as it's faster than native
+	// https://jsperf.com/thor-indexof-vs-for/5
+	indexOf = function( list, elem ) {
+		var i = 0,
+			len = list.length;
+		for ( ; i < len; i++ ) {
+			if ( list[ i ] === elem ) {
+				return i;
+			}
+		}
+		return -1;
+	},
+
+	booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|" +
+		"ismap|loop|multiple|open|readonly|required|scoped",
+
+	// Regular expressions
+
+	// http://www.w3.org/TR/css3-selectors/#whitespace
+	whitespace = "[\\x20\\t\\r\\n\\f]",
+
+	// https://www.w3.org/TR/css-syntax-3/#ident-token-diagram
+	identifier = "(?:\\\\[\\da-fA-F]{1,6}" + whitespace +
+		"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",
+
+	// Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors
+	attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace +
+
+		// Operator (capture 2)
+		"*([*^$|!~]?=)" + whitespace +
+
+		// "Attribute values must be CSS identifiers [capture 5]
+		// or strings [capture 3 or capture 4]"
+		"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" +
+		whitespace + "*\\]",
+
+	pseudos = ":(" + identifier + ")(?:\\((" +
+
+		// To reduce the number of selectors needing tokenize in the preFilter, prefer arguments:
+		// 1. quoted (capture 3; capture 4 or capture 5)
+		"('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" +
+
+		// 2. simple (capture 6)
+		"((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" +
+
+		// 3. anything else (capture 2)
+		".*" +
+		")\\)|)",
+
+	// Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter
+	rwhitespace = new RegExp( whitespace + "+", "g" ),
+	rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" +
+		whitespace + "+$", "g" ),
+
+	rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ),
+	rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace +
+		"*" ),
+	rdescend = new RegExp( whitespace + "|>" ),
+
+	rpseudo = new RegExp( pseudos ),
+	ridentifier = new RegExp( "^" + identifier + "$" ),
+
+	matchExpr = {
+		"ID": new RegExp( "^#(" + identifier + ")" ),
+		"CLASS": new RegExp( "^\\.(" + identifier + ")" ),
+		"TAG": new RegExp( "^(" + identifier + "|[*])" ),
+		"ATTR": new RegExp( "^" + attributes ),
+		"PSEUDO": new RegExp( "^" + pseudos ),
+		"CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" +
+			whitespace + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" +
+			whitespace + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ),
+		"bool": new RegExp( "^(?:" + booleans + ")$", "i" ),
+
+		// For use in libraries implementing .is()
+		// We use this for POS matching in `select`
+		"needsContext": new RegExp( "^" + whitespace +
+			"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + whitespace +
+			"*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" )
+	},
+
+	rhtml = /HTML$/i,
+	rinputs = /^(?:input|select|textarea|button)$/i,
+	rheader = /^h\d$/i,
+
+	rnative = /^[^{]+\{\s*\[native \w/,
+
+	// Easily-parseable/retrievable ID or TAG or CLASS selectors
+	rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,
+
+	rsibling = /[+~]/,
+
+	// CSS escapes
+	// http://www.w3.org/TR/CSS21/syndata.html#escaped-characters
+	runescape = new RegExp( "\\\\[\\da-fA-F]{1,6}" + whitespace + "?|\\\\([^\\r\\n\\f])", "g" ),
+	funescape = function( escape, nonHex ) {
+		var high = "0x" + escape.slice( 1 ) - 0x10000;
+
+		return nonHex ?
+
+			// Strip the backslash prefix from a non-hex escape sequence
+			nonHex :
+
+			// Replace a hexadecimal escape sequence with the encoded Unicode code point
+			// Support: IE <=11+
+			// For values outside the Basic Multilingual Plane (BMP), manually construct a
+			// surrogate pair
+			high < 0 ?
+				String.fromCharCode( high + 0x10000 ) :
+				String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 );
+	},
+
+	// CSS string/identifier serialization
+	// https://drafts.csswg.org/cssom/#common-serializing-idioms
+	rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,
+	fcssescape = function( ch, asCodePoint ) {
+		if ( asCodePoint ) {
+
+			// U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER
+			if ( ch === "\0" ) {
+				return "\uFFFD";
+			}
+
+			// Control characters and (dependent upon position) numbers get escaped as code points
+			return ch.slice( 0, -1 ) + "\\" +
+				ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " ";
+		}
+
+		// Other potentially-special ASCII characters get backslash-escaped
+		return "\\" + ch;
+	},
+
+	// Used for iframes
+	// See setDocument()
+	// Removing the function wrapper causes a "Permission Denied"
+	// error in IE
+	unloadHandler = function() {
+		setDocument();
+	},
+
+	inDisabledFieldset = addCombinator(
+		function( elem ) {
+			return elem.disabled === true && elem.nodeName.toLowerCase() === "fieldset";
+		},
+		{ dir: "parentNode", next: "legend" }
+	);
+
+// Optimize for push.apply( _, NodeList )
+try {
+	push.apply(
+		( arr = slice.call( preferredDoc.childNodes ) ),
+		preferredDoc.childNodes
+	);
+
+	// Support: Android<4.0
+	// Detect silently failing push.apply
+	// eslint-disable-next-line no-unused-expressions
+	arr[ preferredDoc.childNodes.length ].nodeType;
+} catch ( e ) {
+	push = { apply: arr.length ?
+
+		// Leverage slice if possible
+		function( target, els ) {
+			pushNative.apply( target, slice.call( els ) );
+		} :
+
+		// Support: IE<9
+		// Otherwise append directly
+		function( target, els ) {
+			var j = target.length,
+				i = 0;
+
+			// Can't trust NodeList.length
+			while ( ( target[ j++ ] = els[ i++ ] ) ) {}
+			target.length = j - 1;
+		}
+	};
+}
+
+function Sizzle( selector, context, results, seed ) {
+	var m, i, elem, nid, match, groups, newSelector,
+		newContext = context && context.ownerDocument,
+
+		// nodeType defaults to 9, since context defaults to document
+		nodeType = context ? context.nodeType : 9;
+
+	results = results || [];
+
+	// Return early from calls with invalid selector or context
+	if ( typeof selector !== "string" || !selector ||
+		nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) {
+
+		return results;
+	}
+
+	// Try to shortcut find operations (as opposed to filters) in HTML documents
+	if ( !seed ) {
+		setDocument( context );
+		context = context || document;
+
+		if ( documentIsHTML ) {
+
+			// If the selector is sufficiently simple, try using a "get*By*" DOM method
+			// (excepting DocumentFragment context, where the methods don't exist)
+			if ( nodeType !== 11 && ( match = rquickExpr.exec( selector ) ) ) {
+
+				// ID selector
+				if ( ( m = match[ 1 ] ) ) {
+
+					// Document context
+					if ( nodeType === 9 ) {
+						if ( ( elem = context.getElementById( m ) ) ) {
+
+							// Support: IE, Opera, Webkit
+							// TODO: identify versions
+							// getElementById can match elements by name instead of ID
+							if ( elem.id === m ) {
+								results.push( elem );
+								return results;
+							}
+						} else {
+							return results;
+						}
+
+					// Element context
+					} else {
+
+						// Support: IE, Opera, Webkit
+						// TODO: identify versions
+						// getElementById can match elements by name instead of ID
+						if ( newContext && ( elem = newContext.getElementById( m ) ) &&
+							contains( context, elem ) &&
+							elem.id === m ) {
+
+							results.push( elem );
+							return results;
+						}
+					}
+
+				// Type selector
+				} else if ( match[ 2 ] ) {
+					push.apply( results, context.getElementsByTagName( selector ) );
+					return results;
+
+				// Class selector
+				} else if ( ( m = match[ 3 ] ) && support.getElementsByClassName &&
+					context.getElementsByClassName ) {
+
+					push.apply( results, context.getElementsByClassName( m ) );
+					return results;
+				}
+			}
+
+			// Take advantage of querySelectorAll
+			if ( support.qsa &&
+				!nonnativeSelectorCache[ selector + " " ] &&
+				( !rbuggyQSA || !rbuggyQSA.test( selector ) ) &&
+
+				// Support: IE 8 only
+				// Exclude object elements
+				( nodeType !== 1 || context.nodeName.toLowerCase() !== "object" ) ) {
+
+				newSelector = selector;
+				newContext = context;
+
+				// qSA considers elements outside a scoping root when evaluating child or
+				// descendant combinators, which is not what we want.
+				// In such cases, we work around the behavior by prefixing every selector in the
+				// list with an ID selector referencing the scope context.
+				// The technique has to be used as well when a leading combinator is used
+				// as such selectors are not recognized by querySelectorAll.
+				// Thanks to Andrew Dupont for this technique.
+				if ( nodeType === 1 &&
+					( rdescend.test( selector ) || rcombinators.test( selector ) ) ) {
+
+					// Expand context for sibling selectors
+					newContext = rsibling.test( selector ) && testContext( context.parentNode ) ||
+						context;
+
+					// We can use :scope instead of the ID hack if the browser
+					// supports it & if we're not changing the context.
+					if ( newContext !== context || !support.scope ) {
+
+						// Capture the context ID, setting it first if necessary
+						if ( ( nid = context.getAttribute( "id" ) ) ) {
+							nid = nid.replace( rcssescape, fcssescape );
+						} else {
+							context.setAttribute( "id", ( nid = expando ) );
+						}
+					}
+
+					// Prefix every selector in the list
+					groups = tokenize( selector );
+					i = groups.length;
+					while ( i-- ) {
+						groups[ i ] = ( nid ? "#" + nid : ":scope" ) + " " +
+							toSelector( groups[ i ] );
+					}
+					newSelector = groups.join( "," );
+				}
+
+				try {
+					push.apply( results,
+						newContext.querySelectorAll( newSelector )
+					);
+					return results;
+				} catch ( qsaError ) {
+					nonnativeSelectorCache( selector, true );
+				} finally {
+					if ( nid === expando ) {
+						context.removeAttribute( "id" );
+					}
+				}
+			}
+		}
+	}
+
+	// All others
+	return select( selector.replace( rtrim, "$1" ), context, results, seed );
+}
+
+/**
+ * Create key-value caches of limited size
+ * @returns {function(string, object)} Returns the Object data after storing it on itself with
+ *	property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength)
+ *	deleting the oldest entry
+ */
+function createCache() {
+	var keys = [];
+
+	function cache( key, value ) {
+
+		// Use (key + " ") to avoid collision with native prototype properties (see Issue #157)
+		if ( keys.push( key + " " ) > Expr.cacheLength ) {
+
+			// Only keep the most recent entries
+			delete cache[ keys.shift() ];
+		}
+		return ( cache[ key + " " ] = value );
+	}
+	return cache;
+}
+
+/**
+ * Mark a function for special use by Sizzle
+ * @param {Function} fn The function to mark
+ */
+function markFunction( fn ) {
+	fn[ expando ] = true;
+	return fn;
+}
+
+/**
+ * Support testing using an element
+ * @param {Function} fn Passed the created element and returns a boolean result
+ */
+function assert( fn ) {
+	var el = document.createElement( "fieldset" );
+
+	try {
+		return !!fn( el );
+	} catch ( e ) {
+		return false;
+	} finally {
+
+		// Remove from its parent by default
+		if ( el.parentNode ) {
+			el.parentNode.removeChild( el );
+		}
+
+		// release memory in IE
+		el = null;
+	}
+}
+
+/**
+ * Adds the same handler for all of the specified attrs
+ * @param {String} attrs Pipe-separated list of attributes
+ * @param {Function} handler The method that will be applied
+ */
+function addHandle( attrs, handler ) {
+	var arr = attrs.split( "|" ),
+		i = arr.length;
+
+	while ( i-- ) {
+		Expr.attrHandle[ arr[ i ] ] = handler;
+	}
+}
+
+/**
+ * Checks document order of two siblings
+ * @param {Element} a
+ * @param {Element} b
+ * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b
+ */
+function siblingCheck( a, b ) {
+	var cur = b && a,
+		diff = cur && a.nodeType === 1 && b.nodeType === 1 &&
+			a.sourceIndex - b.sourceIndex;
+
+	// Use IE sourceIndex if available on both nodes
+	if ( diff ) {
+		return diff;
+	}
+
+	// Check if b follows a
+	if ( cur ) {
+		while ( ( cur = cur.nextSibling ) ) {
+			if ( cur === b ) {
+				return -1;
+			}
+		}
+	}
+
+	return a ? 1 : -1;
+}
+
+/**
+ * Returns a function to use in pseudos for input types
+ * @param {String} type
+ */
+function createInputPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return name === "input" && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for buttons
+ * @param {String} type
+ */
+function createButtonPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return ( name === "input" || name === "button" ) && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for :enabled/:disabled
+ * @param {Boolean} disabled true for :disabled; false for :enabled
+ */
+function createDisabledPseudo( disabled ) {
+
+	// Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable
+	return function( elem ) {
+
+		// Only certain elements can match :enabled or :disabled
+		// https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled
+		// https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled
+		if ( "form" in elem ) {
+
+			// Check for inherited disabledness on relevant non-disabled elements:
+			// * listed form-associated elements in a disabled fieldset
+			//   https://html.spec.whatwg.org/multipage/forms.html#category-listed
+			//   https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled
+			// * option elements in a disabled optgroup
+			//   https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled
+			// All such elements have a "form" property.
+			if ( elem.parentNode && elem.disabled === false ) {
+
+				// Option elements defer to a parent optgroup if present
+				if ( "label" in elem ) {
+					if ( "label" in elem.parentNode ) {
+						return elem.parentNode.disabled === disabled;
+					} else {
+						return elem.disabled === disabled;
+					}
+				}
+
+				// Support: IE 6 - 11
+				// Use the isDisabled shortcut property to check for disabled fieldset ancestors
+				return elem.isDisabled === disabled ||
+
+					// Where there is no isDisabled, check manually
+					/* jshint -W018 */
+					elem.isDisabled !== !disabled &&
+					inDisabledFieldset( elem ) === disabled;
+			}
+
+			return elem.disabled === disabled;
+
+		// Try to winnow out elements that can't be disabled before trusting the disabled property.
+		// Some victims get caught in our net (label, legend, menu, track), but it shouldn't
+		// even exist on them, let alone have a boolean value.
+		} else if ( "label" in elem ) {
+			return elem.disabled === disabled;
+		}
+
+		// Remaining elements are neither :enabled nor :disabled
+		return false;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for positionals
+ * @param {Function} fn
+ */
+function createPositionalPseudo( fn ) {
+	return markFunction( function( argument ) {
+		argument = +argument;
+		return markFunction( function( seed, matches ) {
+			var j,
+				matchIndexes = fn( [], seed.length, argument ),
+				i = matchIndexes.length;
+
+			// Match elements found at the specified indexes
+			while ( i-- ) {
+				if ( seed[ ( j = matchIndexes[ i ] ) ] ) {
+					seed[ j ] = !( matches[ j ] = seed[ j ] );
+				}
+			}
+		} );
+	} );
+}
+
+/**
+ * Checks a node for validity as a Sizzle context
+ * @param {Element|Object=} context
+ * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value
+ */
+function testContext( context ) {
+	return context && typeof context.getElementsByTagName !== "undefined" && context;
+}
+
+// Expose support vars for convenience
+support = Sizzle.support = {};
+
+/**
+ * Detects XML nodes
+ * @param {Element|Object} elem An element or a document
+ * @returns {Boolean} True iff elem is a non-HTML XML node
+ */
+isXML = Sizzle.isXML = function( elem ) {
+	var namespace = elem.namespaceURI,
+		docElem = ( elem.ownerDocument || elem ).documentElement;
+
+	// Support: IE <=8
+	// Assume HTML when documentElement doesn't yet exist, such as inside loading iframes
+	// https://bugs.jquery.com/ticket/4833
+	return !rhtml.test( namespace || docElem && docElem.nodeName || "HTML" );
+};
+
+/**
+ * Sets document-related variables once based on the current document
+ * @param {Element|Object} [doc] An element or document object to use to set the document
+ * @returns {Object} Returns the current document
+ */
+setDocument = Sizzle.setDocument = function( node ) {
+	var hasCompare, subWindow,
+		doc = node ? node.ownerDocument || node : preferredDoc;
+
+	// Return early if doc is invalid or already selected
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( doc == document || doc.nodeType !== 9 || !doc.documentElement ) {
+		return document;
+	}
+
+	// Update global variables
+	document = doc;
+	docElem = document.documentElement;
+	documentIsHTML = !isXML( document );
+
+	// Support: IE 9 - 11+, Edge 12 - 18+
+	// Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936)
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( preferredDoc != document &&
+		( subWindow = document.defaultView ) && subWindow.top !== subWindow ) {
+
+		// Support: IE 11, Edge
+		if ( subWindow.addEventListener ) {
+			subWindow.addEventListener( "unload", unloadHandler, false );
+
+		// Support: IE 9 - 10 only
+		} else if ( subWindow.attachEvent ) {
+			subWindow.attachEvent( "onunload", unloadHandler );
+		}
+	}
+
+	// Support: IE 8 - 11+, Edge 12 - 18+, Chrome <=16 - 25 only, Firefox <=3.6 - 31 only,
+	// Safari 4 - 5 only, Opera <=11.6 - 12.x only
+	// IE/Edge & older browsers don't support the :scope pseudo-class.
+	// Support: Safari 6.0 only
+	// Safari 6.0 supports :scope but it's an alias of :root there.
+	support.scope = assert( function( el ) {
+		docElem.appendChild( el ).appendChild( document.createElement( "div" ) );
+		return typeof el.querySelectorAll !== "undefined" &&
+			!el.querySelectorAll( ":scope fieldset div" ).length;
+	} );
+
+	/* Attributes
+	---------------------------------------------------------------------- */
+
+	// Support: IE<8
+	// Verify that getAttribute really returns attributes and not properties
+	// (excepting IE8 booleans)
+	support.attributes = assert( function( el ) {
+		el.className = "i";
+		return !el.getAttribute( "className" );
+	} );
+
+	/* getElement(s)By*
+	---------------------------------------------------------------------- */
+
+	// Check if getElementsByTagName("*") returns only elements
+	support.getElementsByTagName = assert( function( el ) {
+		el.appendChild( document.createComment( "" ) );
+		return !el.getElementsByTagName( "*" ).length;
+	} );
+
+	// Support: IE<9
+	support.getElementsByClassName = rnative.test( document.getElementsByClassName );
+
+	// Support: IE<10
+	// Check if getElementById returns elements by name
+	// The broken getElementById methods don't pick up programmatically-set names,
+	// so use a roundabout getElementsByName test
+	support.getById = assert( function( el ) {
+		docElem.appendChild( el ).id = expando;
+		return !document.getElementsByName || !document.getElementsByName( expando ).length;
+	} );
+
+	// ID filter and find
+	if ( support.getById ) {
+		Expr.filter[ "ID" ] = function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				return elem.getAttribute( "id" ) === attrId;
+			};
+		};
+		Expr.find[ "ID" ] = function( id, context ) {
+			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+				var elem = context.getElementById( id );
+				return elem ? [ elem ] : [];
+			}
+		};
+	} else {
+		Expr.filter[ "ID" ] =  function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				var node = typeof elem.getAttributeNode !== "undefined" &&
+					elem.getAttributeNode( "id" );
+				return node && node.value === attrId;
+			};
+		};
+
+		// Support: IE 6 - 7 only
+		// getElementById is not reliable as a find shortcut
+		Expr.find[ "ID" ] = function( id, context ) {
+			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+				var node, i, elems,
+					elem = context.getElementById( id );
+
+				if ( elem ) {
+
+					// Verify the id attribute
+					node = elem.getAttributeNode( "id" );
+					if ( node && node.value === id ) {
+						return [ elem ];
+					}
+
+					// Fall back on getElementsByName
+					elems = context.getElementsByName( id );
+					i = 0;
+					while ( ( elem = elems[ i++ ] ) ) {
+						node = elem.getAttributeNode( "id" );
+						if ( node && node.value === id ) {
+							return [ elem ];
+						}
+					}
+				}
+
+				return [];
+			}
+		};
+	}
+
+	// Tag
+	Expr.find[ "TAG" ] = support.getElementsByTagName ?
+		function( tag, context ) {
+			if ( typeof context.getElementsByTagName !== "undefined" ) {
+				return context.getElementsByTagName( tag );
+
+			// DocumentFragment nodes don't have gEBTN
+			} else if ( support.qsa ) {
+				return context.querySelectorAll( tag );
+			}
+		} :
+
+		function( tag, context ) {
+			var elem,
+				tmp = [],
+				i = 0,
+
+				// By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too
+				results = context.getElementsByTagName( tag );
+
+			// Filter out possible comments
+			if ( tag === "*" ) {
+				while ( ( elem = results[ i++ ] ) ) {
+					if ( elem.nodeType === 1 ) {
+						tmp.push( elem );
+					}
+				}
+
+				return tmp;
+			}
+			return results;
+		};
+
+	// Class
+	Expr.find[ "CLASS" ] = support.getElementsByClassName && function( className, context ) {
+		if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) {
+			return context.getElementsByClassName( className );
+		}
+	};
+
+	/* QSA/matchesSelector
+	---------------------------------------------------------------------- */
+
+	// QSA and matchesSelector support
+
+	// matchesSelector(:active) reports false when true (IE9/Opera 11.5)
+	rbuggyMatches = [];
+
+	// qSa(:focus) reports false when true (Chrome 21)
+	// We allow this because of a bug in IE8/9 that throws an error
+	// whenever `document.activeElement` is accessed on an iframe
+	// So, we allow :focus to pass through QSA all the time to avoid the IE error
+	// See https://bugs.jquery.com/ticket/13378
+	rbuggyQSA = [];
+
+	if ( ( support.qsa = rnative.test( document.querySelectorAll ) ) ) {
+
+		// Build QSA regex
+		// Regex strategy adopted from Diego Perini
+		assert( function( el ) {
+
+			var input;
+
+			// Select is set to empty string on purpose
+			// This is to test IE's treatment of not explicitly
+			// setting a boolean content attribute,
+			// since its presence should be enough
+			// https://bugs.jquery.com/ticket/12359
+			docElem.appendChild( el ).innerHTML = "<a id='" + expando + "'></a>" +
+				"<select id='" + expando + "-\r\\' msallowcapture=''>" +
+				"<option selected=''></option></select>";
+
+			// Support: IE8, Opera 11-12.16
+			// Nothing should be selected when empty strings follow ^= or $= or *=
+			// The test attribute must be unknown in Opera but "safe" for WinRT
+			// https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section
+			if ( el.querySelectorAll( "[msallowcapture^='']" ).length ) {
+				rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" );
+			}
+
+			// Support: IE8
+			// Boolean attributes and "value" are not treated correctly
+			if ( !el.querySelectorAll( "[selected]" ).length ) {
+				rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" );
+			}
+
+			// Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+
+			if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) {
+				rbuggyQSA.push( "~=" );
+			}
+
+			// Support: IE 11+, Edge 15 - 18+
+			// IE 11/Edge don't find elements on a `[name='']` query in some cases.
+			// Adding a temporary attribute to the document before the selection works
+			// around the issue.
+			// Interestingly, IE 10 & older don't seem to have the issue.
+			input = document.createElement( "input" );
+			input.setAttribute( "name", "" );
+			el.appendChild( input );
+			if ( !el.querySelectorAll( "[name='']" ).length ) {
+				rbuggyQSA.push( "\\[" + whitespace + "*name" + whitespace + "*=" +
+					whitespace + "*(?:''|\"\")" );
+			}
+
+			// Webkit/Opera - :checked should return selected option elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			// IE8 throws error here and will not see later tests
+			if ( !el.querySelectorAll( ":checked" ).length ) {
+				rbuggyQSA.push( ":checked" );
+			}
+
+			// Support: Safari 8+, iOS 8+
+			// https://bugs.webkit.org/show_bug.cgi?id=136851
+			// In-page `selector#id sibling-combinator selector` fails
+			if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) {
+				rbuggyQSA.push( ".#.+[+~]" );
+			}
+
+			// Support: Firefox <=3.6 - 5 only
+			// Old Firefox doesn't throw on a badly-escaped identifier.
+			el.querySelectorAll( "\\\f" );
+			rbuggyQSA.push( "[\\r\\n\\f]" );
+		} );
+
+		assert( function( el ) {
+			el.innerHTML = "<a href='' disabled='disabled'></a>" +
+				"<select disabled='disabled'><option/></select>";
+
+			// Support: Windows 8 Native Apps
+			// The type and name attributes are restricted during .innerHTML assignment
+			var input = document.createElement( "input" );
+			input.setAttribute( "type", "hidden" );
+			el.appendChild( input ).setAttribute( "name", "D" );
+
+			// Support: IE8
+			// Enforce case-sensitivity of name attribute
+			if ( el.querySelectorAll( "[name=d]" ).length ) {
+				rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" );
+			}
+
+			// FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled)
+			// IE8 throws error here and will not see later tests
+			if ( el.querySelectorAll( ":enabled" ).length !== 2 ) {
+				rbuggyQSA.push( ":enabled", ":disabled" );
+			}
+
+			// Support: IE9-11+
+			// IE's :disabled selector does not pick up the children of disabled fieldsets
+			docElem.appendChild( el ).disabled = true;
+			if ( el.querySelectorAll( ":disabled" ).length !== 2 ) {
+				rbuggyQSA.push( ":enabled", ":disabled" );
+			}
+
+			// Support: Opera 10 - 11 only
+			// Opera 10-11 does not throw on post-comma invalid pseudos
+			el.querySelectorAll( "*,:x" );
+			rbuggyQSA.push( ",.*:" );
+		} );
+	}
+
+	if ( ( support.matchesSelector = rnative.test( ( matches = docElem.matches ||
+		docElem.webkitMatchesSelector ||
+		docElem.mozMatchesSelector ||
+		docElem.oMatchesSelector ||
+		docElem.msMatchesSelector ) ) ) ) {
+
+		assert( function( el ) {
+
+			// Check to see if it's possible to do matchesSelector
+			// on a disconnected node (IE 9)
+			support.disconnectedMatch = matches.call( el, "*" );
+
+			// This should fail with an exception
+			// Gecko does not error, returns false instead
+			matches.call( el, "[s!='']:x" );
+			rbuggyMatches.push( "!=", pseudos );
+		} );
+	}
+
+	rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join( "|" ) );
+	rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join( "|" ) );
+
+	/* Contains
+	---------------------------------------------------------------------- */
+	hasCompare = rnative.test( docElem.compareDocumentPosition );
+
+	// Element contains another
+	// Purposefully self-exclusive
+	// As in, an element does not contain itself
+	contains = hasCompare || rnative.test( docElem.contains ) ?
+		function( a, b ) {
+			var adown = a.nodeType === 9 ? a.documentElement : a,
+				bup = b && b.parentNode;
+			return a === bup || !!( bup && bup.nodeType === 1 && (
+				adown.contains ?
+					adown.contains( bup ) :
+					a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16
+			) );
+		} :
+		function( a, b ) {
+			if ( b ) {
+				while ( ( b = b.parentNode ) ) {
+					if ( b === a ) {
+						return true;
+					}
+				}
+			}
+			return false;
+		};
+
+	/* Sorting
+	---------------------------------------------------------------------- */
+
+	// Document order sorting
+	sortOrder = hasCompare ?
+	function( a, b ) {
+
+		// Flag for duplicate removal
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		// Sort on method existence if only one input has compareDocumentPosition
+		var compare = !a.compareDocumentPosition - !b.compareDocumentPosition;
+		if ( compare ) {
+			return compare;
+		}
+
+		// Calculate position if both inputs belong to the same document
+		// Support: IE 11+, Edge 17 - 18+
+		// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+		// two documents; shallow comparisons work.
+		// eslint-disable-next-line eqeqeq
+		compare = ( a.ownerDocument || a ) == ( b.ownerDocument || b ) ?
+			a.compareDocumentPosition( b ) :
+
+			// Otherwise we know they are disconnected
+			1;
+
+		// Disconnected nodes
+		if ( compare & 1 ||
+			( !support.sortDetached && b.compareDocumentPosition( a ) === compare ) ) {
+
+			// Choose the first element that is related to our preferred document
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			// eslint-disable-next-line eqeqeq
+			if ( a == document || a.ownerDocument == preferredDoc &&
+				contains( preferredDoc, a ) ) {
+				return -1;
+			}
+
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			// eslint-disable-next-line eqeqeq
+			if ( b == document || b.ownerDocument == preferredDoc &&
+				contains( preferredDoc, b ) ) {
+				return 1;
+			}
+
+			// Maintain original order
+			return sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+		}
+
+		return compare & 4 ? -1 : 1;
+	} :
+	function( a, b ) {
+
+		// Exit early if the nodes are identical
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		var cur,
+			i = 0,
+			aup = a.parentNode,
+			bup = b.parentNode,
+			ap = [ a ],
+			bp = [ b ];
+
+		// Parentless nodes are either documents or disconnected
+		if ( !aup || !bup ) {
+
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			/* eslint-disable eqeqeq */
+			return a == document ? -1 :
+				b == document ? 1 :
+				/* eslint-enable eqeqeq */
+				aup ? -1 :
+				bup ? 1 :
+				sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+
+		// If the nodes are siblings, we can do a quick check
+		} else if ( aup === bup ) {
+			return siblingCheck( a, b );
+		}
+
+		// Otherwise we need full lists of their ancestors for comparison
+		cur = a;
+		while ( ( cur = cur.parentNode ) ) {
+			ap.unshift( cur );
+		}
+		cur = b;
+		while ( ( cur = cur.parentNode ) ) {
+			bp.unshift( cur );
+		}
+
+		// Walk down the tree looking for a discrepancy
+		while ( ap[ i ] === bp[ i ] ) {
+			i++;
+		}
+
+		return i ?
+
+			// Do a sibling check if the nodes have a common ancestor
+			siblingCheck( ap[ i ], bp[ i ] ) :
+
+			// Otherwise nodes in our document sort first
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			/* eslint-disable eqeqeq */
+			ap[ i ] == preferredDoc ? -1 :
+			bp[ i ] == preferredDoc ? 1 :
+			/* eslint-enable eqeqeq */
+			0;
+	};
+
+	return document;
+};
+
+Sizzle.matches = function( expr, elements ) {
+	return Sizzle( expr, null, null, elements );
+};
+
+Sizzle.matchesSelector = function( elem, expr ) {
+	setDocument( elem );
+
+	if ( support.matchesSelector && documentIsHTML &&
+		!nonnativeSelectorCache[ expr + " " ] &&
+		( !rbuggyMatches || !rbuggyMatches.test( expr ) ) &&
+		( !rbuggyQSA     || !rbuggyQSA.test( expr ) ) ) {
+
+		try {
+			var ret = matches.call( elem, expr );
+
+			// IE 9's matchesSelector returns false on disconnected nodes
+			if ( ret || support.disconnectedMatch ||
+
+				// As well, disconnected nodes are said to be in a document
+				// fragment in IE 9
+				elem.document && elem.document.nodeType !== 11 ) {
+				return ret;
+			}
+		} catch ( e ) {
+			nonnativeSelectorCache( expr, true );
+		}
+	}
+
+	return Sizzle( expr, document, null, [ elem ] ).length > 0;
+};
+
+Sizzle.contains = function( context, elem ) {
+
+	// Set document vars if needed
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( ( context.ownerDocument || context ) != document ) {
+		setDocument( context );
+	}
+	return contains( context, elem );
+};
+
+Sizzle.attr = function( elem, name ) {
+
+	// Set document vars if needed
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( ( elem.ownerDocument || elem ) != document ) {
+		setDocument( elem );
+	}
+
+	var fn = Expr.attrHandle[ name.toLowerCase() ],
+
+		// Don't get fooled by Object.prototype properties (jQuery #13807)
+		val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ?
+			fn( elem, name, !documentIsHTML ) :
+			undefined;
+
+	return val !== undefined ?
+		val :
+		support.attributes || !documentIsHTML ?
+			elem.getAttribute( name ) :
+			( val = elem.getAttributeNode( name ) ) && val.specified ?
+				val.value :
+				null;
+};
+
+Sizzle.escape = function( sel ) {
+	return ( sel + "" ).replace( rcssescape, fcssescape );
+};
+
+Sizzle.error = function( msg ) {
+	throw new Error( "Syntax error, unrecognized expression: " + msg );
+};
+
+/**
+ * Document sorting and removing duplicates
+ * @param {ArrayLike} results
+ */
+Sizzle.uniqueSort = function( results ) {
+	var elem,
+		duplicates = [],
+		j = 0,
+		i = 0;
+
+	// Unless we *know* we can detect duplicates, assume their presence
+	hasDuplicate = !support.detectDuplicates;
+	sortInput = !support.sortStable && results.slice( 0 );
+	results.sort( sortOrder );
+
+	if ( hasDuplicate ) {
+		while ( ( elem = results[ i++ ] ) ) {
+			if ( elem === results[ i ] ) {
+				j = duplicates.push( i );
+			}
+		}
+		while ( j-- ) {
+			results.splice( duplicates[ j ], 1 );
+		}
+	}
+
+	// Clear input after sorting to release objects
+	// See https://github.com/jquery/sizzle/pull/225
+	sortInput = null;
+
+	return results;
+};
+
+/**
+ * Utility function for retrieving the text value of an array of DOM nodes
+ * @param {Array|Element} elem
+ */
+getText = Sizzle.getText = function( elem ) {
+	var node,
+		ret = "",
+		i = 0,
+		nodeType = elem.nodeType;
+
+	if ( !nodeType ) {
+
+		// If no nodeType, this is expected to be an array
+		while ( ( node = elem[ i++ ] ) ) {
+
+			// Do not traverse comment nodes
+			ret += getText( node );
+		}
+	} else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) {
+
+		// Use textContent for elements
+		// innerText usage removed for consistency of new lines (jQuery #11153)
+		if ( typeof elem.textContent === "string" ) {
+			return elem.textContent;
+		} else {
+
+			// Traverse its children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				ret += getText( elem );
+			}
+		}
+	} else if ( nodeType === 3 || nodeType === 4 ) {
+		return elem.nodeValue;
+	}
+
+	// Do not include comment or processing instruction nodes
+
+	return ret;
+};
+
+Expr = Sizzle.selectors = {
+
+	// Can be adjusted by the user
+	cacheLength: 50,
+
+	createPseudo: markFunction,
+
+	match: matchExpr,
+
+	attrHandle: {},
+
+	find: {},
+
+	relative: {
+		">": { dir: "parentNode", first: true },
+		" ": { dir: "parentNode" },
+		"+": { dir: "previousSibling", first: true },
+		"~": { dir: "previousSibling" }
+	},
+
+	preFilter: {
+		"ATTR": function( match ) {
+			match[ 1 ] = match[ 1 ].replace( runescape, funescape );
+
+			// Move the given value to match[3] whether quoted or unquoted
+			match[ 3 ] = ( match[ 3 ] || match[ 4 ] ||
+				match[ 5 ] || "" ).replace( runescape, funescape );
+
+			if ( match[ 2 ] === "~=" ) {
+				match[ 3 ] = " " + match[ 3 ] + " ";
+			}
+
+			return match.slice( 0, 4 );
+		},
+
+		"CHILD": function( match ) {
+
+			/* matches from matchExpr["CHILD"]
+				1 type (only|nth|...)
+				2 what (child|of-type)
+				3 argument (even|odd|\d*|\d*n([+-]\d+)?|...)
+				4 xn-component of xn+y argument ([+-]?\d*n|)
+				5 sign of xn-component
+				6 x of xn-component
+				7 sign of y-component
+				8 y of y-component
+			*/
+			match[ 1 ] = match[ 1 ].toLowerCase();
+
+			if ( match[ 1 ].slice( 0, 3 ) === "nth" ) {
+
+				// nth-* requires argument
+				if ( !match[ 3 ] ) {
+					Sizzle.error( match[ 0 ] );
+				}
+
+				// numeric x and y parameters for Expr.filter.CHILD
+				// remember that false/true cast respectively to 0/1
+				match[ 4 ] = +( match[ 4 ] ?
+					match[ 5 ] + ( match[ 6 ] || 1 ) :
+					2 * ( match[ 3 ] === "even" || match[ 3 ] === "odd" ) );
+				match[ 5 ] = +( ( match[ 7 ] + match[ 8 ] ) || match[ 3 ] === "odd" );
+
+				// other types prohibit arguments
+			} else if ( match[ 3 ] ) {
+				Sizzle.error( match[ 0 ] );
+			}
+
+			return match;
+		},
+
+		"PSEUDO": function( match ) {
+			var excess,
+				unquoted = !match[ 6 ] && match[ 2 ];
+
+			if ( matchExpr[ "CHILD" ].test( match[ 0 ] ) ) {
+				return null;
+			}
+
+			// Accept quoted arguments as-is
+			if ( match[ 3 ] ) {
+				match[ 2 ] = match[ 4 ] || match[ 5 ] || "";
+
+			// Strip excess characters from unquoted arguments
+			} else if ( unquoted && rpseudo.test( unquoted ) &&
+
+				// Get excess from tokenize (recursively)
+				( excess = tokenize( unquoted, true ) ) &&
+
+				// advance to the next closing parenthesis
+				( excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length ) ) {
+
+				// excess is a negative index
+				match[ 0 ] = match[ 0 ].slice( 0, excess );
+				match[ 2 ] = unquoted.slice( 0, excess );
+			}
+
+			// Return only captures needed by the pseudo filter method (type and argument)
+			return match.slice( 0, 3 );
+		}
+	},
+
+	filter: {
+
+		"TAG": function( nodeNameSelector ) {
+			var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase();
+			return nodeNameSelector === "*" ?
+				function() {
+					return true;
+				} :
+				function( elem ) {
+					return elem.nodeName && elem.nodeName.toLowerCase() === nodeName;
+				};
+		},
+
+		"CLASS": function( className ) {
+			var pattern = classCache[ className + " " ];
+
+			return pattern ||
+				( pattern = new RegExp( "(^|" + whitespace +
+					")" + className + "(" + whitespace + "|$)" ) ) && classCache(
+						className, function( elem ) {
+							return pattern.test(
+								typeof elem.className === "string" && elem.className ||
+								typeof elem.getAttribute !== "undefined" &&
+									elem.getAttribute( "class" ) ||
+								""
+							);
+				} );
+		},
+
+		"ATTR": function( name, operator, check ) {
+			return function( elem ) {
+				var result = Sizzle.attr( elem, name );
+
+				if ( result == null ) {
+					return operator === "!=";
+				}
+				if ( !operator ) {
+					return true;
+				}
+
+				result += "";
+
+				/* eslint-disable max-len */
+
+				return operator === "=" ? result === check :
+					operator === "!=" ? result !== check :
+					operator === "^=" ? check && result.indexOf( check ) === 0 :
+					operator === "*=" ? check && result.indexOf( check ) > -1 :
+					operator === "$=" ? check && result.slice( -check.length ) === check :
+					operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 :
+					operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" :
+					false;
+				/* eslint-enable max-len */
+
+			};
+		},
+
+		"CHILD": function( type, what, _argument, first, last ) {
+			var simple = type.slice( 0, 3 ) !== "nth",
+				forward = type.slice( -4 ) !== "last",
+				ofType = what === "of-type";
+
+			return first === 1 && last === 0 ?
+
+				// Shortcut for :nth-*(n)
+				function( elem ) {
+					return !!elem.parentNode;
+				} :
+
+				function( elem, _context, xml ) {
+					var cache, uniqueCache, outerCache, node, nodeIndex, start,
+						dir = simple !== forward ? "nextSibling" : "previousSibling",
+						parent = elem.parentNode,
+						name = ofType && elem.nodeName.toLowerCase(),
+						useCache = !xml && !ofType,
+						diff = false;
+
+					if ( parent ) {
+
+						// :(first|last|only)-(child|of-type)
+						if ( simple ) {
+							while ( dir ) {
+								node = elem;
+								while ( ( node = node[ dir ] ) ) {
+									if ( ofType ?
+										node.nodeName.toLowerCase() === name :
+										node.nodeType === 1 ) {
+
+										return false;
+									}
+								}
+
+								// Reverse direction for :only-* (if we haven't yet done so)
+								start = dir = type === "only" && !start && "nextSibling";
+							}
+							return true;
+						}
+
+						start = [ forward ? parent.firstChild : parent.lastChild ];
+
+						// non-xml :nth-child(...) stores cache data on `parent`
+						if ( forward && useCache ) {
+
+							// Seek `elem` from a previously-cached index
+
+							// ...in a gzip-friendly way
+							node = parent;
+							outerCache = node[ expando ] || ( node[ expando ] = {} );
+
+							// Support: IE <9 only
+							// Defend against cloned attroperties (jQuery gh-1709)
+							uniqueCache = outerCache[ node.uniqueID ] ||
+								( outerCache[ node.uniqueID ] = {} );
+
+							cache = uniqueCache[ type ] || [];
+							nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+							diff = nodeIndex && cache[ 2 ];
+							node = nodeIndex && parent.childNodes[ nodeIndex ];
+
+							while ( ( node = ++nodeIndex && node && node[ dir ] ||
+
+								// Fallback to seeking `elem` from the start
+								( diff = nodeIndex = 0 ) || start.pop() ) ) {
+
+								// When found, cache indexes on `parent` and break
+								if ( node.nodeType === 1 && ++diff && node === elem ) {
+									uniqueCache[ type ] = [ dirruns, nodeIndex, diff ];
+									break;
+								}
+							}
+
+						} else {
+
+							// Use previously-cached element index if available
+							if ( useCache ) {
+
+								// ...in a gzip-friendly way
+								node = elem;
+								outerCache = node[ expando ] || ( node[ expando ] = {} );
+
+								// Support: IE <9 only
+								// Defend against cloned attroperties (jQuery gh-1709)
+								uniqueCache = outerCache[ node.uniqueID ] ||
+									( outerCache[ node.uniqueID ] = {} );
+
+								cache = uniqueCache[ type ] || [];
+								nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+								diff = nodeIndex;
+							}
+
+							// xml :nth-child(...)
+							// or :nth-last-child(...) or :nth(-last)?-of-type(...)
+							if ( diff === false ) {
+
+								// Use the same loop as above to seek `elem` from the start
+								while ( ( node = ++nodeIndex && node && node[ dir ] ||
+									( diff = nodeIndex = 0 ) || start.pop() ) ) {
+
+									if ( ( ofType ?
+										node.nodeName.toLowerCase() === name :
+										node.nodeType === 1 ) &&
+										++diff ) {
+
+										// Cache the index of each encountered element
+										if ( useCache ) {
+											outerCache = node[ expando ] ||
+												( node[ expando ] = {} );
+
+											// Support: IE <9 only
+											// Defend against cloned attroperties (jQuery gh-1709)
+											uniqueCache = outerCache[ node.uniqueID ] ||
+												( outerCache[ node.uniqueID ] = {} );
+
+											uniqueCache[ type ] = [ dirruns, diff ];
+										}
+
+										if ( node === elem ) {
+											break;
+										}
+									}
+								}
+							}
+						}
+
+						// Incorporate the offset, then check against cycle size
+						diff -= last;
+						return diff === first || ( diff % first === 0 && diff / first >= 0 );
+					}
+				};
+		},
+
+		"PSEUDO": function( pseudo, argument ) {
+
+			// pseudo-class names are case-insensitive
+			// http://www.w3.org/TR/selectors/#pseudo-classes
+			// Prioritize by case sensitivity in case custom pseudos are added with uppercase letters
+			// Remember that setFilters inherits from pseudos
+			var args,
+				fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] ||
+					Sizzle.error( "unsupported pseudo: " + pseudo );
+
+			// The user may use createPseudo to indicate that
+			// arguments are needed to create the filter function
+			// just as Sizzle does
+			if ( fn[ expando ] ) {
+				return fn( argument );
+			}
+
+			// But maintain support for old signatures
+			if ( fn.length > 1 ) {
+				args = [ pseudo, pseudo, "", argument ];
+				return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ?
+					markFunction( function( seed, matches ) {
+						var idx,
+							matched = fn( seed, argument ),
+							i = matched.length;
+						while ( i-- ) {
+							idx = indexOf( seed, matched[ i ] );
+							seed[ idx ] = !( matches[ idx ] = matched[ i ] );
+						}
+					} ) :
+					function( elem ) {
+						return fn( elem, 0, args );
+					};
+			}
+
+			return fn;
+		}
+	},
+
+	pseudos: {
+
+		// Potentially complex pseudos
+		"not": markFunction( function( selector ) {
+
+			// Trim the selector passed to compile
+			// to avoid treating leading and trailing
+			// spaces as combinators
+			var input = [],
+				results = [],
+				matcher = compile( selector.replace( rtrim, "$1" ) );
+
+			return matcher[ expando ] ?
+				markFunction( function( seed, matches, _context, xml ) {
+					var elem,
+						unmatched = matcher( seed, null, xml, [] ),
+						i = seed.length;
+
+					// Match elements unmatched by `matcher`
+					while ( i-- ) {
+						if ( ( elem = unmatched[ i ] ) ) {
+							seed[ i ] = !( matches[ i ] = elem );
+						}
+					}
+				} ) :
+				function( elem, _context, xml ) {
+					input[ 0 ] = elem;
+					matcher( input, null, xml, results );
+
+					// Don't keep the element (issue #299)
+					input[ 0 ] = null;
+					return !results.pop();
+				};
+		} ),
+
+		"has": markFunction( function( selector ) {
+			return function( elem ) {
+				return Sizzle( selector, elem ).length > 0;
+			};
+		} ),
+
+		"contains": markFunction( function( text ) {
+			text = text.replace( runescape, funescape );
+			return function( elem ) {
+				return ( elem.textContent || getText( elem ) ).indexOf( text ) > -1;
+			};
+		} ),
+
+		// "Whether an element is represented by a :lang() selector
+		// is based solely on the element's language value
+		// being equal to the identifier C,
+		// or beginning with the identifier C immediately followed by "-".
+		// The matching of C against the element's language value is performed case-insensitively.
+		// The identifier C does not have to be a valid language name."
+		// http://www.w3.org/TR/selectors/#lang-pseudo
+		"lang": markFunction( function( lang ) {
+
+			// lang value must be a valid identifier
+			if ( !ridentifier.test( lang || "" ) ) {
+				Sizzle.error( "unsupported lang: " + lang );
+			}
+			lang = lang.replace( runescape, funescape ).toLowerCase();
+			return function( elem ) {
+				var elemLang;
+				do {
+					if ( ( elemLang = documentIsHTML ?
+						elem.lang :
+						elem.getAttribute( "xml:lang" ) || elem.getAttribute( "lang" ) ) ) {
+
+						elemLang = elemLang.toLowerCase();
+						return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0;
+					}
+				} while ( ( elem = elem.parentNode ) && elem.nodeType === 1 );
+				return false;
+			};
+		} ),
+
+		// Miscellaneous
+		"target": function( elem ) {
+			var hash = window.location && window.location.hash;
+			return hash && hash.slice( 1 ) === elem.id;
+		},
+
+		"root": function( elem ) {
+			return elem === docElem;
+		},
+
+		"focus": function( elem ) {
+			return elem === document.activeElement &&
+				( !document.hasFocus || document.hasFocus() ) &&
+				!!( elem.type || elem.href || ~elem.tabIndex );
+		},
+
+		// Boolean properties
+		"enabled": createDisabledPseudo( false ),
+		"disabled": createDisabledPseudo( true ),
+
+		"checked": function( elem ) {
+
+			// In CSS3, :checked should return both checked and selected elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			var nodeName = elem.nodeName.toLowerCase();
+			return ( nodeName === "input" && !!elem.checked ) ||
+				( nodeName === "option" && !!elem.selected );
+		},
+
+		"selected": function( elem ) {
+
+			// Accessing this property makes selected-by-default
+			// options in Safari work properly
+			if ( elem.parentNode ) {
+				// eslint-disable-next-line no-unused-expressions
+				elem.parentNode.selectedIndex;
+			}
+
+			return elem.selected === true;
+		},
+
+		// Contents
+		"empty": function( elem ) {
+
+			// http://www.w3.org/TR/selectors/#empty-pseudo
+			// :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5),
+			//   but not by others (comment: 8; processing instruction: 7; etc.)
+			// nodeType < 6 works because attributes (2) do not appear as children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				if ( elem.nodeType < 6 ) {
+					return false;
+				}
+			}
+			return true;
+		},
+
+		"parent": function( elem ) {
+			return !Expr.pseudos[ "empty" ]( elem );
+		},
+
+		// Element/input types
+		"header": function( elem ) {
+			return rheader.test( elem.nodeName );
+		},
+
+		"input": function( elem ) {
+			return rinputs.test( elem.nodeName );
+		},
+
+		"button": function( elem ) {
+			var name = elem.nodeName.toLowerCase();
+			return name === "input" && elem.type === "button" || name === "button";
+		},
+
+		"text": function( elem ) {
+			var attr;
+			return elem.nodeName.toLowerCase() === "input" &&
+				elem.type === "text" &&
+
+				// Support: IE<8
+				// New HTML5 attribute values (e.g., "search") appear with elem.type === "text"
+				( ( attr = elem.getAttribute( "type" ) ) == null ||
+					attr.toLowerCase() === "text" );
+		},
+
+		// Position-in-collection
+		"first": createPositionalPseudo( function() {
+			return [ 0 ];
+		} ),
+
+		"last": createPositionalPseudo( function( _matchIndexes, length ) {
+			return [ length - 1 ];
+		} ),
+
+		"eq": createPositionalPseudo( function( _matchIndexes, length, argument ) {
+			return [ argument < 0 ? argument + length : argument ];
+		} ),
+
+		"even": createPositionalPseudo( function( matchIndexes, length ) {
+			var i = 0;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"odd": createPositionalPseudo( function( matchIndexes, length ) {
+			var i = 1;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"lt": createPositionalPseudo( function( matchIndexes, length, argument ) {
+			var i = argument < 0 ?
+				argument + length :
+				argument > length ?
+					length :
+					argument;
+			for ( ; --i >= 0; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"gt": createPositionalPseudo( function( matchIndexes, length, argument ) {
+			var i = argument < 0 ? argument + length : argument;
+			for ( ; ++i < length; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} )
+	}
+};
+
+Expr.pseudos[ "nth" ] = Expr.pseudos[ "eq" ];
+
+// Add button/input type pseudos
+for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) {
+	Expr.pseudos[ i ] = createInputPseudo( i );
+}
+for ( i in { submit: true, reset: true } ) {
+	Expr.pseudos[ i ] = createButtonPseudo( i );
+}
+
+// Easy API for creating new setFilters
+function setFilters() {}
+setFilters.prototype = Expr.filters = Expr.pseudos;
+Expr.setFilters = new setFilters();
+
+tokenize = Sizzle.tokenize = function( selector, parseOnly ) {
+	var matched, match, tokens, type,
+		soFar, groups, preFilters,
+		cached = tokenCache[ selector + " " ];
+
+	if ( cached ) {
+		return parseOnly ? 0 : cached.slice( 0 );
+	}
+
+	soFar = selector;
+	groups = [];
+	preFilters = Expr.preFilter;
+
+	while ( soFar ) {
+
+		// Comma and first run
+		if ( !matched || ( match = rcomma.exec( soFar ) ) ) {
+			if ( match ) {
+
+				// Don't consume trailing commas as valid
+				soFar = soFar.slice( match[ 0 ].length ) || soFar;
+			}
+			groups.push( ( tokens = [] ) );
+		}
+
+		matched = false;
+
+		// Combinators
+		if ( ( match = rcombinators.exec( soFar ) ) ) {
+			matched = match.shift();
+			tokens.push( {
+				value: matched,
+
+				// Cast descendant combinators to space
+				type: match[ 0 ].replace( rtrim, " " )
+			} );
+			soFar = soFar.slice( matched.length );
+		}
+
+		// Filters
+		for ( type in Expr.filter ) {
+			if ( ( match = matchExpr[ type ].exec( soFar ) ) && ( !preFilters[ type ] ||
+				( match = preFilters[ type ]( match ) ) ) ) {
+				matched = match.shift();
+				tokens.push( {
+					value: matched,
+					type: type,
+					matches: match
+				} );
+				soFar = soFar.slice( matched.length );
+			}
+		}
+
+		if ( !matched ) {
+			break;
+		}
+	}
+
+	// Return the length of the invalid excess
+	// if we're just parsing
+	// Otherwise, throw an error or return tokens
+	return parseOnly ?
+		soFar.length :
+		soFar ?
+			Sizzle.error( selector ) :
+
+			// Cache the tokens
+			tokenCache( selector, groups ).slice( 0 );
+};
+
+function toSelector( tokens ) {
+	var i = 0,
+		len = tokens.length,
+		selector = "";
+	for ( ; i < len; i++ ) {
+		selector += tokens[ i ].value;
+	}
+	return selector;
+}
+
+function addCombinator( matcher, combinator, base ) {
+	var dir = combinator.dir,
+		skip = combinator.next,
+		key = skip || dir,
+		checkNonElements = base && key === "parentNode",
+		doneName = done++;
+
+	return combinator.first ?
+
+		// Check against closest ancestor/preceding element
+		function( elem, context, xml ) {
+			while ( ( elem = elem[ dir ] ) ) {
+				if ( elem.nodeType === 1 || checkNonElements ) {
+					return matcher( elem, context, xml );
+				}
+			}
+			return false;
+		} :
+
+		// Check against all ancestor/preceding elements
+		function( elem, context, xml ) {
+			var oldCache, uniqueCache, outerCache,
+				newCache = [ dirruns, doneName ];
+
+			// We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching
+			if ( xml ) {
+				while ( ( elem = elem[ dir ] ) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						if ( matcher( elem, context, xml ) ) {
+							return true;
+						}
+					}
+				}
+			} else {
+				while ( ( elem = elem[ dir ] ) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						outerCache = elem[ expando ] || ( elem[ expando ] = {} );
+
+						// Support: IE <9 only
+						// Defend against cloned attroperties (jQuery gh-1709)
+						uniqueCache = outerCache[ elem.uniqueID ] ||
+							( outerCache[ elem.uniqueID ] = {} );
+
+						if ( skip && skip === elem.nodeName.toLowerCase() ) {
+							elem = elem[ dir ] || elem;
+						} else if ( ( oldCache = uniqueCache[ key ] ) &&
+							oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) {
+
+							// Assign to newCache so results back-propagate to previous elements
+							return ( newCache[ 2 ] = oldCache[ 2 ] );
+						} else {
+
+							// Reuse newcache so results back-propagate to previous elements
+							uniqueCache[ key ] = newCache;
+
+							// A match means we're done; a fail means we have to keep checking
+							if ( ( newCache[ 2 ] = matcher( elem, context, xml ) ) ) {
+								return true;
+							}
+						}
+					}
+				}
+			}
+			return false;
+		};
+}
+
+function elementMatcher( matchers ) {
+	return matchers.length > 1 ?
+		function( elem, context, xml ) {
+			var i = matchers.length;
+			while ( i-- ) {
+				if ( !matchers[ i ]( elem, context, xml ) ) {
+					return false;
+				}
+			}
+			return true;
+		} :
+		matchers[ 0 ];
+}
+
+function multipleContexts( selector, contexts, results ) {
+	var i = 0,
+		len = contexts.length;
+	for ( ; i < len; i++ ) {
+		Sizzle( selector, contexts[ i ], results );
+	}
+	return results;
+}
+
+function condense( unmatched, map, filter, context, xml ) {
+	var elem,
+		newUnmatched = [],
+		i = 0,
+		len = unmatched.length,
+		mapped = map != null;
+
+	for ( ; i < len; i++ ) {
+		if ( ( elem = unmatched[ i ] ) ) {
+			if ( !filter || filter( elem, context, xml ) ) {
+				newUnmatched.push( elem );
+				if ( mapped ) {
+					map.push( i );
+				}
+			}
+		}
+	}
+
+	return newUnmatched;
+}
+
+function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) {
+	if ( postFilter && !postFilter[ expando ] ) {
+		postFilter = setMatcher( postFilter );
+	}
+	if ( postFinder && !postFinder[ expando ] ) {
+		postFinder = setMatcher( postFinder, postSelector );
+	}
+	return markFunction( function( seed, results, context, xml ) {
+		var temp, i, elem,
+			preMap = [],
+			postMap = [],
+			preexisting = results.length,
+
+			// Get initial elements from seed or context
+			elems = seed || multipleContexts(
+				selector || "*",
+				context.nodeType ? [ context ] : context,
+				[]
+			),
+
+			// Prefilter to get matcher input, preserving a map for seed-results synchronization
+			matcherIn = preFilter && ( seed || !selector ) ?
+				condense( elems, preMap, preFilter, context, xml ) :
+				elems,
+
+			matcherOut = matcher ?
+
+				// If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results,
+				postFinder || ( seed ? preFilter : preexisting || postFilter ) ?
+
+					// ...intermediate processing is necessary
+					[] :
+
+					// ...otherwise use results directly
+					results :
+				matcherIn;
+
+		// Find primary matches
+		if ( matcher ) {
+			matcher( matcherIn, matcherOut, context, xml );
+		}
+
+		// Apply postFilter
+		if ( postFilter ) {
+			temp = condense( matcherOut, postMap );
+			postFilter( temp, [], context, xml );
+
+			// Un-match failing elements by moving them back to matcherIn
+			i = temp.length;
+			while ( i-- ) {
+				if ( ( elem = temp[ i ] ) ) {
+					matcherOut[ postMap[ i ] ] = !( matcherIn[ postMap[ i ] ] = elem );
+				}
+			}
+		}
+
+		if ( seed ) {
+			if ( postFinder || preFilter ) {
+				if ( postFinder ) {
+
+					// Get the final matcherOut by condensing this intermediate into postFinder contexts
+					temp = [];
+					i = matcherOut.length;
+					while ( i-- ) {
+						if ( ( elem = matcherOut[ i ] ) ) {
+
+							// Restore matcherIn since elem is not yet a final match
+							temp.push( ( matcherIn[ i ] = elem ) );
+						}
+					}
+					postFinder( null, ( matcherOut = [] ), temp, xml );
+				}
+
+				// Move matched elements from seed to results to keep them synchronized
+				i = matcherOut.length;
+				while ( i-- ) {
+					if ( ( elem = matcherOut[ i ] ) &&
+						( temp = postFinder ? indexOf( seed, elem ) : preMap[ i ] ) > -1 ) {
+
+						seed[ temp ] = !( results[ temp ] = elem );
+					}
+				}
+			}
+
+		// Add elements to results, through postFinder if defined
+		} else {
+			matcherOut = condense(
+				matcherOut === results ?
+					matcherOut.splice( preexisting, matcherOut.length ) :
+					matcherOut
+			);
+			if ( postFinder ) {
+				postFinder( null, results, matcherOut, xml );
+			} else {
+				push.apply( results, matcherOut );
+			}
+		}
+	} );
+}
+
+function matcherFromTokens( tokens ) {
+	var checkContext, matcher, j,
+		len = tokens.length,
+		leadingRelative = Expr.relative[ tokens[ 0 ].type ],
+		implicitRelative = leadingRelative || Expr.relative[ " " ],
+		i = leadingRelative ? 1 : 0,
+
+		// The foundational matcher ensures that elements are reachable from top-level context(s)
+		matchContext = addCombinator( function( elem ) {
+			return elem === checkContext;
+		}, implicitRelative, true ),
+		matchAnyContext = addCombinator( function( elem ) {
+			return indexOf( checkContext, elem ) > -1;
+		}, implicitRelative, true ),
+		matchers = [ function( elem, context, xml ) {
+			var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || (
+				( checkContext = context ).nodeType ?
+					matchContext( elem, context, xml ) :
+					matchAnyContext( elem, context, xml ) );
+
+			// Avoid hanging onto element (issue #299)
+			checkContext = null;
+			return ret;
+		} ];
+
+	for ( ; i < len; i++ ) {
+		if ( ( matcher = Expr.relative[ tokens[ i ].type ] ) ) {
+			matchers = [ addCombinator( elementMatcher( matchers ), matcher ) ];
+		} else {
+			matcher = Expr.filter[ tokens[ i ].type ].apply( null, tokens[ i ].matches );
+
+			// Return special upon seeing a positional matcher
+			if ( matcher[ expando ] ) {
+
+				// Find the next relative operator (if any) for proper handling
+				j = ++i;
+				for ( ; j < len; j++ ) {
+					if ( Expr.relative[ tokens[ j ].type ] ) {
+						break;
+					}
+				}
+				return setMatcher(
+					i > 1 && elementMatcher( matchers ),
+					i > 1 && toSelector(
+
+					// If the preceding token was a descendant combinator, insert an implicit any-element `*`
+					tokens
+						.slice( 0, i - 1 )
+						.concat( { value: tokens[ i - 2 ].type === " " ? "*" : "" } )
+					).replace( rtrim, "$1" ),
+					matcher,
+					i < j && matcherFromTokens( tokens.slice( i, j ) ),
+					j < len && matcherFromTokens( ( tokens = tokens.slice( j ) ) ),
+					j < len && toSelector( tokens )
+				);
+			}
+			matchers.push( matcher );
+		}
+	}
+
+	return elementMatcher( matchers );
+}
+
+function matcherFromGroupMatchers( elementMatchers, setMatchers ) {
+	var bySet = setMatchers.length > 0,
+		byElement = elementMatchers.length > 0,
+		superMatcher = function( seed, context, xml, results, outermost ) {
+			var elem, j, matcher,
+				matchedCount = 0,
+				i = "0",
+				unmatched = seed && [],
+				setMatched = [],
+				contextBackup = outermostContext,
+
+				// We must always have either seed elements or outermost context
+				elems = seed || byElement && Expr.find[ "TAG" ]( "*", outermost ),
+
+				// Use integer dirruns iff this is the outermost matcher
+				dirrunsUnique = ( dirruns += contextBackup == null ? 1 : Math.random() || 0.1 ),
+				len = elems.length;
+
+			if ( outermost ) {
+
+				// Support: IE 11+, Edge 17 - 18+
+				// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+				// two documents; shallow comparisons work.
+				// eslint-disable-next-line eqeqeq
+				outermostContext = context == document || context || outermost;
+			}
+
+			// Add elements passing elementMatchers directly to results
+			// Support: IE<9, Safari
+			// Tolerate NodeList properties (IE: "length"; Safari: <number>) matching elements by id
+			for ( ; i !== len && ( elem = elems[ i ] ) != null; i++ ) {
+				if ( byElement && elem ) {
+					j = 0;
+
+					// Support: IE 11+, Edge 17 - 18+
+					// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+					// two documents; shallow comparisons work.
+					// eslint-disable-next-line eqeqeq
+					if ( !context && elem.ownerDocument != document ) {
+						setDocument( elem );
+						xml = !documentIsHTML;
+					}
+					while ( ( matcher = elementMatchers[ j++ ] ) ) {
+						if ( matcher( elem, context || document, xml ) ) {
+							results.push( elem );
+							break;
+						}
+					}
+					if ( outermost ) {
+						dirruns = dirrunsUnique;
+					}
+				}
+
+				// Track unmatched elements for set filters
+				if ( bySet ) {
+
+					// They will have gone through all possible matchers
+					if ( ( elem = !matcher && elem ) ) {
+						matchedCount--;
+					}
+
+					// Lengthen the array for every element, matched or not
+					if ( seed ) {
+						unmatched.push( elem );
+					}
+				}
+			}
+
+			// `i` is now the count of elements visited above, and adding it to `matchedCount`
+			// makes the latter nonnegative.
+			matchedCount += i;
+
+			// Apply set filters to unmatched elements
+			// NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount`
+			// equals `i`), unless we didn't visit _any_ elements in the above loop because we have
+			// no element matchers and no seed.
+			// Incrementing an initially-string "0" `i` allows `i` to remain a string only in that
+			// case, which will result in a "00" `matchedCount` that differs from `i` but is also
+			// numerically zero.
+			if ( bySet && i !== matchedCount ) {
+				j = 0;
+				while ( ( matcher = setMatchers[ j++ ] ) ) {
+					matcher( unmatched, setMatched, context, xml );
+				}
+
+				if ( seed ) {
+
+					// Reintegrate element matches to eliminate the need for sorting
+					if ( matchedCount > 0 ) {
+						while ( i-- ) {
+							if ( !( unmatched[ i ] || setMatched[ i ] ) ) {
+								setMatched[ i ] = pop.call( results );
+							}
+						}
+					}
+
+					// Discard index placeholder values to get only actual matches
+					setMatched = condense( setMatched );
+				}
+
+				// Add matches to results
+				push.apply( results, setMatched );
+
+				// Seedless set matches succeeding multiple successful matchers stipulate sorting
+				if ( outermost && !seed && setMatched.length > 0 &&
+					( matchedCount + setMatchers.length ) > 1 ) {
+
+					Sizzle.uniqueSort( results );
+				}
+			}
+
+			// Override manipulation of globals by nested matchers
+			if ( outermost ) {
+				dirruns = dirrunsUnique;
+				outermostContext = contextBackup;
+			}
+
+			return unmatched;
+		};
+
+	return bySet ?
+		markFunction( superMatcher ) :
+		superMatcher;
+}
+
+compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) {
+	var i,
+		setMatchers = [],
+		elementMatchers = [],
+		cached = compilerCache[ selector + " " ];
+
+	if ( !cached ) {
+
+		// Generate a function of recursive functions that can be used to check each element
+		if ( !match ) {
+			match = tokenize( selector );
+		}
+		i = match.length;
+		while ( i-- ) {
+			cached = matcherFromTokens( match[ i ] );
+			if ( cached[ expando ] ) {
+				setMatchers.push( cached );
+			} else {
+				elementMatchers.push( cached );
+			}
+		}
+
+		// Cache the compiled function
+		cached = compilerCache(
+			selector,
+			matcherFromGroupMatchers( elementMatchers, setMatchers )
+		);
+
+		// Save selector and tokenization
+		cached.selector = selector;
+	}
+	return cached;
+};
+
+/**
+ * A low-level selection function that works with Sizzle's compiled
+ *  selector functions
+ * @param {String|Function} selector A selector or a pre-compiled
+ *  selector function built with Sizzle.compile
+ * @param {Element} context
+ * @param {Array} [results]
+ * @param {Array} [seed] A set of elements to match against
+ */
+select = Sizzle.select = function( selector, context, results, seed ) {
+	var i, tokens, token, type, find,
+		compiled = typeof selector === "function" && selector,
+		match = !seed && tokenize( ( selector = compiled.selector || selector ) );
+
+	results = results || [];
+
+	// Try to minimize operations if there is only one selector in the list and no seed
+	// (the latter of which guarantees us context)
+	if ( match.length === 1 ) {
+
+		// Reduce context if the leading compound selector is an ID
+		tokens = match[ 0 ] = match[ 0 ].slice( 0 );
+		if ( tokens.length > 2 && ( token = tokens[ 0 ] ).type === "ID" &&
+			context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[ 1 ].type ] ) {
+
+			context = ( Expr.find[ "ID" ]( token.matches[ 0 ]
+				.replace( runescape, funescape ), context ) || [] )[ 0 ];
+			if ( !context ) {
+				return results;
+
+			// Precompiled matchers will still verify ancestry, so step up a level
+			} else if ( compiled ) {
+				context = context.parentNode;
+			}
+
+			selector = selector.slice( tokens.shift().value.length );
+		}
+
+		// Fetch a seed set for right-to-left matching
+		i = matchExpr[ "needsContext" ].test( selector ) ? 0 : tokens.length;
+		while ( i-- ) {
+			token = tokens[ i ];
+
+			// Abort if we hit a combinator
+			if ( Expr.relative[ ( type = token.type ) ] ) {
+				break;
+			}
+			if ( ( find = Expr.find[ type ] ) ) {
+
+				// Search, expanding context for leading sibling combinators
+				if ( ( seed = find(
+					token.matches[ 0 ].replace( runescape, funescape ),
+					rsibling.test( tokens[ 0 ].type ) && testContext( context.parentNode ) ||
+						context
+				) ) ) {
+
+					// If seed is empty or no tokens remain, we can return early
+					tokens.splice( i, 1 );
+					selector = seed.length && toSelector( tokens );
+					if ( !selector ) {
+						push.apply( results, seed );
+						return results;
+					}
+
+					break;
+				}
+			}
+		}
+	}
+
+	// Compile and execute a filtering function if one is not provided
+	// Provide `match` to avoid retokenization if we modified the selector above
+	( compiled || compile( selector, match ) )(
+		seed,
+		context,
+		!documentIsHTML,
+		results,
+		!context || rsibling.test( selector ) && testContext( context.parentNode ) || context
+	);
+	return results;
+};
+
+// One-time assignments
+
+// Sort stability
+support.sortStable = expando.split( "" ).sort( sortOrder ).join( "" ) === expando;
+
+// Support: Chrome 14-35+
+// Always assume duplicates if they aren't passed to the comparison function
+support.detectDuplicates = !!hasDuplicate;
+
+// Initialize against the default document
+setDocument();
+
+// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27)
+// Detached nodes confoundingly follow *each other*
+support.sortDetached = assert( function( el ) {
+
+	// Should return 1, but returns 4 (following)
+	return el.compareDocumentPosition( document.createElement( "fieldset" ) ) & 1;
+} );
+
+// Support: IE<8
+// Prevent attribute/property "interpolation"
+// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx
+if ( !assert( function( el ) {
+	el.innerHTML = "<a href='#'></a>";
+	return el.firstChild.getAttribute( "href" ) === "#";
+} ) ) {
+	addHandle( "type|href|height|width", function( elem, name, isXML ) {
+		if ( !isXML ) {
+			return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 );
+		}
+	} );
+}
+
+// Support: IE<9
+// Use defaultValue in place of getAttribute("value")
+if ( !support.attributes || !assert( function( el ) {
+	el.innerHTML = "<input/>";
+	el.firstChild.setAttribute( "value", "" );
+	return el.firstChild.getAttribute( "value" ) === "";
+} ) ) {
+	addHandle( "value", function( elem, _name, isXML ) {
+		if ( !isXML && elem.nodeName.toLowerCase() === "input" ) {
+			return elem.defaultValue;
+		}
+	} );
+}
+
+// Support: IE<9
+// Use getAttributeNode to fetch booleans when getAttribute lies
+if ( !assert( function( el ) {
+	return el.getAttribute( "disabled" ) == null;
+} ) ) {
+	addHandle( booleans, function( elem, name, isXML ) {
+		var val;
+		if ( !isXML ) {
+			return elem[ name ] === true ? name.toLowerCase() :
+				( val = elem.getAttributeNode( name ) ) && val.specified ?
+					val.value :
+					null;
+		}
+	} );
+}
+
+return Sizzle;
+
+} )( window );
+
+
+
+jQuery.find = Sizzle;
+jQuery.expr = Sizzle.selectors;
+
+// Deprecated
+jQuery.expr[ ":" ] = jQuery.expr.pseudos;
+jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort;
+jQuery.text = Sizzle.getText;
+jQuery.isXMLDoc = Sizzle.isXML;
+jQuery.contains = Sizzle.contains;
+jQuery.escapeSelector = Sizzle.escape;
+
+
+
+
+var dir = function( elem, dir, until ) {
+	var matched = [],
+		truncate = until !== undefined;
+
+	while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) {
+		if ( elem.nodeType === 1 ) {
+			if ( truncate && jQuery( elem ).is( until ) ) {
+				break;
+			}
+			matched.push( elem );
+		}
+	}
+	return matched;
+};
+
+
+var siblings = function( n, elem ) {
+	var matched = [];
+
+	for ( ; n; n = n.nextSibling ) {
+		if ( n.nodeType === 1 && n !== elem ) {
+			matched.push( n );
+		}
+	}
+
+	return matched;
+};
+
+
+var rneedsContext = jQuery.expr.match.needsContext;
+
+
+
+function nodeName( elem, name ) {
+
+  return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase();
+
+};
+var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i );
+
+
+
+// Implement the identical functionality for filter and not
+function winnow( elements, qualifier, not ) {
+	if ( isFunction( qualifier ) ) {
+		return jQuery.grep( elements, function( elem, i ) {
+			return !!qualifier.call( elem, i, elem ) !== not;
+		} );
+	}
+
+	// Single element
+	if ( qualifier.nodeType ) {
+		return jQuery.grep( elements, function( elem ) {
+			return ( elem === qualifier ) !== not;
+		} );
+	}
+
+	// Arraylike of elements (jQuery, arguments, Array)
+	if ( typeof qualifier !== "string" ) {
+		return jQuery.grep( elements, function( elem ) {
+			return ( indexOf.call( qualifier, elem ) > -1 ) !== not;
+		} );
+	}
+
+	// Filtered directly for both simple and complex selectors
+	return jQuery.filter( qualifier, elements, not );
+}
+
+jQuery.filter = function( expr, elems, not ) {
+	var elem = elems[ 0 ];
+
+	if ( not ) {
+		expr = ":not(" + expr + ")";
+	}
+
+	if ( elems.length === 1 && elem.nodeType === 1 ) {
+		return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : [];
+	}
+
+	return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) {
+		return elem.nodeType === 1;
+	} ) );
+};
+
+jQuery.fn.extend( {
+	find: function( selector ) {
+		var i, ret,
+			len = this.length,
+			self = this;
+
+		if ( typeof selector !== "string" ) {
+			return this.pushStack( jQuery( selector ).filter( function() {
+				for ( i = 0; i < len; i++ ) {
+					if ( jQuery.contains( self[ i ], this ) ) {
+						return true;
+					}
+				}
+			} ) );
+		}
+
+		ret = this.pushStack( [] );
+
+		for ( i = 0; i < len; i++ ) {
+			jQuery.find( selector, self[ i ], ret );
+		}
+
+		return len > 1 ? jQuery.uniqueSort( ret ) : ret;
+	},
+	filter: function( selector ) {
+		return this.pushStack( winnow( this, selector || [], false ) );
+	},
+	not: function( selector ) {
+		return this.pushStack( winnow( this, selector || [], true ) );
+	},
+	is: function( selector ) {
+		return !!winnow(
+			this,
+
+			// If this is a positional/relative selector, check membership in the returned set
+			// so $("p:first").is("p:last") won't return true for a doc with two "p".
+			typeof selector === "string" && rneedsContext.test( selector ) ?
+				jQuery( selector ) :
+				selector || [],
+			false
+		).length;
+	}
+} );
+
+
+// Initialize a jQuery object
+
+
+// A central reference to the root jQuery(document)
+var rootjQuery,
+
+	// A simple way to check for HTML strings
+	// Prioritize #id over <tag> to avoid XSS via location.hash (#9521)
+	// Strict HTML recognition (#11290: must start with <)
+	// Shortcut simple #id case for speed
+	rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/,
+
+	init = jQuery.fn.init = function( selector, context, root ) {
+		var match, elem;
+
+		// HANDLE: $(""), $(null), $(undefined), $(false)
+		if ( !selector ) {
+			return this;
+		}
+
+		// Method init() accepts an alternate rootjQuery
+		// so migrate can support jQuery.sub (gh-2101)
+		root = root || rootjQuery;
+
+		// Handle HTML strings
+		if ( typeof selector === "string" ) {
+			if ( selector[ 0 ] === "<" &&
+				selector[ selector.length - 1 ] === ">" &&
+				selector.length >= 3 ) {
+
+				// Assume that strings that start and end with <> are HTML and skip the regex check
+				match = [ null, selector, null ];
+
+			} else {
+				match = rquickExpr.exec( selector );
+			}
+
+			// Match html or make sure no context is specified for #id
+			if ( match && ( match[ 1 ] || !context ) ) {
+
+				// HANDLE: $(html) -> $(array)
+				if ( match[ 1 ] ) {
+					context = context instanceof jQuery ? context[ 0 ] : context;
+
+					// Option to run scripts is true for back-compat
+					// Intentionally let the error be thrown if parseHTML is not present
+					jQuery.merge( this, jQuery.parseHTML(
+						match[ 1 ],
+						context && context.nodeType ? context.ownerDocument || context : document,
+						true
+					) );
+
+					// HANDLE: $(html, props)
+					if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) {
+						for ( match in context ) {
+
+							// Properties of context are called as methods if possible
+							if ( isFunction( this[ match ] ) ) {
+								this[ match ]( context[ match ] );
+
+							// ...and otherwise set as attributes
+							} else {
+								this.attr( match, context[ match ] );
+							}
+						}
+					}
+
+					return this;
+
+				// HANDLE: $(#id)
+				} else {
+					elem = document.getElementById( match[ 2 ] );
+
+					if ( elem ) {
+
+						// Inject the element directly into the jQuery object
+						this[ 0 ] = elem;
+						this.length = 1;
+					}
+					return this;
+				}
+
+			// HANDLE: $(expr, $(...))
+			} else if ( !context || context.jquery ) {
+				return ( context || root ).find( selector );
+
+			// HANDLE: $(expr, context)
+			// (which is just equivalent to: $(context).find(expr)
+			} else {
+				return this.constructor( context ).find( selector );
+			}
+
+		// HANDLE: $(DOMElement)
+		} else if ( selector.nodeType ) {
+			this[ 0 ] = selector;
+			this.length = 1;
+			return this;
+
+		// HANDLE: $(function)
+		// Shortcut for document ready
+		} else if ( isFunction( selector ) ) {
+			return root.ready !== undefined ?
+				root.ready( selector ) :
+
+				// Execute immediately if ready is not present
+				selector( jQuery );
+		}
+
+		return jQuery.makeArray( selector, this );
+	};
+
+// Give the init function the jQuery prototype for later instantiation
+init.prototype = jQuery.fn;
+
+// Initialize central reference
+rootjQuery = jQuery( document );
+
+
+var rparentsprev = /^(?:parents|prev(?:Until|All))/,
+
+	// Methods guaranteed to produce a unique set when starting from a unique set
+	guaranteedUnique = {
+		children: true,
+		contents: true,
+		next: true,
+		prev: true
+	};
+
+jQuery.fn.extend( {
+	has: function( target ) {
+		var targets = jQuery( target, this ),
+			l = targets.length;
+
+		return this.filter( function() {
+			var i = 0;
+			for ( ; i < l; i++ ) {
+				if ( jQuery.contains( this, targets[ i ] ) ) {
+					return true;
+				}
+			}
+		} );
+	},
+
+	closest: function( selectors, context ) {
+		var cur,
+			i = 0,
+			l = this.length,
+			matched = [],
+			targets = typeof selectors !== "string" && jQuery( selectors );
+
+		// Positional selectors never match, since there's no _selection_ context
+		if ( !rneedsContext.test( selectors ) ) {
+			for ( ; i < l; i++ ) {
+				for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) {
+
+					// Always skip document fragments
+					if ( cur.nodeType < 11 && ( targets ?
+						targets.index( cur ) > -1 :
+
+						// Don't pass non-elements to Sizzle
+						cur.nodeType === 1 &&
+							jQuery.find.matchesSelector( cur, selectors ) ) ) {
+
+						matched.push( cur );
+						break;
+					}
+				}
+			}
+		}
+
+		return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched );
+	},
+
+	// Determine the position of an element within the set
+	index: function( elem ) {
+
+		// No argument, return index in parent
+		if ( !elem ) {
+			return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1;
+		}
+
+		// Index in selector
+		if ( typeof elem === "string" ) {
+			return indexOf.call( jQuery( elem ), this[ 0 ] );
+		}
+
+		// Locate the position of the desired element
+		return indexOf.call( this,
+
+			// If it receives a jQuery object, the first element is used
+			elem.jquery ? elem[ 0 ] : elem
+		);
+	},
+
+	add: function( selector, context ) {
+		return this.pushStack(
+			jQuery.uniqueSort(
+				jQuery.merge( this.get(), jQuery( selector, context ) )
+			)
+		);
+	},
+
+	addBack: function( selector ) {
+		return this.add( selector == null ?
+			this.prevObject : this.prevObject.filter( selector )
+		);
+	}
+} );
+
+function sibling( cur, dir ) {
+	while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {}
+	return cur;
+}
+
+jQuery.each( {
+	parent: function( elem ) {
+		var parent = elem.parentNode;
+		return parent && parent.nodeType !== 11 ? parent : null;
+	},
+	parents: function( elem ) {
+		return dir( elem, "parentNode" );
+	},
+	parentsUntil: function( elem, _i, until ) {
+		return dir( elem, "parentNode", until );
+	},
+	next: function( elem ) {
+		return sibling( elem, "nextSibling" );
+	},
+	prev: function( elem ) {
+		return sibling( elem, "previousSibling" );
+	},
+	nextAll: function( elem ) {
+		return dir( elem, "nextSibling" );
+	},
+	prevAll: function( elem ) {
+		return dir( elem, "previousSibling" );
+	},
+	nextUntil: function( elem, _i, until ) {
+		return dir( elem, "nextSibling", until );
+	},
+	prevUntil: function( elem, _i, until ) {
+		return dir( elem, "previousSibling", until );
+	},
+	siblings: function( elem ) {
+		return siblings( ( elem.parentNode || {} ).firstChild, elem );
+	},
+	children: function( elem ) {
+		return siblings( elem.firstChild );
+	},
+	contents: function( elem ) {
+		if ( elem.contentDocument != null &&
+
+			// Support: IE 11+
+			// <object> elements with no `data` attribute has an object
+			// `contentDocument` with a `null` prototype.
+			getProto( elem.contentDocument ) ) {
+
+			return elem.contentDocument;
+		}
+
+		// Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only
+		// Treat the template element as a regular one in browsers that
+		// don't support it.
+		if ( nodeName( elem, "template" ) ) {
+			elem = elem.content || elem;
+		}
+
+		return jQuery.merge( [], elem.childNodes );
+	}
+}, function( name, fn ) {
+	jQuery.fn[ name ] = function( until, selector ) {
+		var matched = jQuery.map( this, fn, until );
+
+		if ( name.slice( -5 ) !== "Until" ) {
+			selector = until;
+		}
+
+		if ( selector && typeof selector === "string" ) {
+			matched = jQuery.filter( selector, matched );
+		}
+
+		if ( this.length > 1 ) {
+
+			// Remove duplicates
+			if ( !guaranteedUnique[ name ] ) {
+				jQuery.uniqueSort( matched );
+			}
+
+			// Reverse order for parents* and prev-derivatives
+			if ( rparentsprev.test( name ) ) {
+				matched.reverse();
+			}
+		}
+
+		return this.pushStack( matched );
+	};
+} );
+var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g );
+
+
+
+// Convert String-formatted options into Object-formatted ones
+function createOptions( options ) {
+	var object = {};
+	jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) {
+		object[ flag ] = true;
+	} );
+	return object;
+}
+
+/*
+ * Create a callback list using the following parameters:
+ *
+ *	options: an optional list of space-separated options that will change how
+ *			the callback list behaves or a more traditional option object
+ *
+ * By default a callback list will act like an event callback list and can be
+ * "fired" multiple times.
+ *
+ * Possible options:
+ *
+ *	once:			will ensure the callback list can only be fired once (like a Deferred)
+ *
+ *	memory:			will keep track of previous values and will call any callback added
+ *					after the list has been fired right away with the latest "memorized"
+ *					values (like a Deferred)
+ *
+ *	unique:			will ensure a callback can only be added once (no duplicate in the list)
+ *
+ *	stopOnFalse:	interrupt callings when a callback returns false
+ *
+ */
+jQuery.Callbacks = function( options ) {
+
+	// Convert options from String-formatted to Object-formatted if needed
+	// (we check in cache first)
+	options = typeof options === "string" ?
+		createOptions( options ) :
+		jQuery.extend( {}, options );
+
+	var // Flag to know if list is currently firing
+		firing,
+
+		// Last fire value for non-forgettable lists
+		memory,
+
+		// Flag to know if list was already fired
+		fired,
+
+		// Flag to prevent firing
+		locked,
+
+		// Actual callback list
+		list = [],
+
+		// Queue of execution data for repeatable lists
+		queue = [],
+
+		// Index of currently firing callback (modified by add/remove as needed)
+		firingIndex = -1,
+
+		// Fire callbacks
+		fire = function() {
+
+			// Enforce single-firing
+			locked = locked || options.once;
+
+			// Execute callbacks for all pending executions,
+			// respecting firingIndex overrides and runtime changes
+			fired = firing = true;
+			for ( ; queue.length; firingIndex = -1 ) {
+				memory = queue.shift();
+				while ( ++firingIndex < list.length ) {
+
+					// Run callback and check for early termination
+					if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false &&
+						options.stopOnFalse ) {
+
+						// Jump to end and forget the data so .add doesn't re-fire
+						firingIndex = list.length;
+						memory = false;
+					}
+				}
+			}
+
+			// Forget the data if we're done with it
+			if ( !options.memory ) {
+				memory = false;
+			}
+
+			firing = false;
+
+			// Clean up if we're done firing for good
+			if ( locked ) {
+
+				// Keep an empty list if we have data for future add calls
+				if ( memory ) {
+					list = [];
+
+				// Otherwise, this object is spent
+				} else {
+					list = "";
+				}
+			}
+		},
+
+		// Actual Callbacks object
+		self = {
+
+			// Add a callback or a collection of callbacks to the list
+			add: function() {
+				if ( list ) {
+
+					// If we have memory from a past run, we should fire after adding
+					if ( memory && !firing ) {
+						firingIndex = list.length - 1;
+						queue.push( memory );
+					}
+
+					( function add( args ) {
+						jQuery.each( args, function( _, arg ) {
+							if ( isFunction( arg ) ) {
+								if ( !options.unique || !self.has( arg ) ) {
+									list.push( arg );
+								}
+							} else if ( arg && arg.length && toType( arg ) !== "string" ) {
+
+								// Inspect recursively
+								add( arg );
+							}
+						} );
+					} )( arguments );
+
+					if ( memory && !firing ) {
+						fire();
+					}
+				}
+				return this;
+			},
+
+			// Remove a callback from the list
+			remove: function() {
+				jQuery.each( arguments, function( _, arg ) {
+					var index;
+					while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) {
+						list.splice( index, 1 );
+
+						// Handle firing indexes
+						if ( index <= firingIndex ) {
+							firingIndex--;
+						}
+					}
+				} );
+				return this;
+			},
+
+			// Check if a given callback is in the list.
+			// If no argument is given, return whether or not list has callbacks attached.
+			has: function( fn ) {
+				return fn ?
+					jQuery.inArray( fn, list ) > -1 :
+					list.length > 0;
+			},
+
+			// Remove all callbacks from the list
+			empty: function() {
+				if ( list ) {
+					list = [];
+				}
+				return this;
+			},
+
+			// Disable .fire and .add
+			// Abort any current/pending executions
+			// Clear all callbacks and values
+			disable: function() {
+				locked = queue = [];
+				list = memory = "";
+				return this;
+			},
+			disabled: function() {
+				return !list;
+			},
+
+			// Disable .fire
+			// Also disable .add unless we have memory (since it would have no effect)
+			// Abort any pending executions
+			lock: function() {
+				locked = queue = [];
+				if ( !memory && !firing ) {
+					list = memory = "";
+				}
+				return this;
+			},
+			locked: function() {
+				return !!locked;
+			},
+
+			// Call all callbacks with the given context and arguments
+			fireWith: function( context, args ) {
+				if ( !locked ) {
+					args = args || [];
+					args = [ context, args.slice ? args.slice() : args ];
+					queue.push( args );
+					if ( !firing ) {
+						fire();
+					}
+				}
+				return this;
+			},
+
+			// Call all the callbacks with the given arguments
+			fire: function() {
+				self.fireWith( this, arguments );
+				return this;
+			},
+
+			// To know if the callbacks have already been called at least once
+			fired: function() {
+				return !!fired;
+			}
+		};
+
+	return self;
+};
+
+
+function Identity( v ) {
+	return v;
+}
+function Thrower( ex ) {
+	throw ex;
+}
+
+function adoptValue( value, resolve, reject, noValue ) {
+	var method;
+
+	try {
+
+		// Check for promise aspect first to privilege synchronous behavior
+		if ( value && isFunction( ( method = value.promise ) ) ) {
+			method.call( value ).done( resolve ).fail( reject );
+
+		// Other thenables
+		} else if ( value && isFunction( ( method = value.then ) ) ) {
+			method.call( value, resolve, reject );
+
+		// Other non-thenables
+		} else {
+
+			// Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer:
+			// * false: [ value ].slice( 0 ) => resolve( value )
+			// * true: [ value ].slice( 1 ) => resolve()
+			resolve.apply( undefined, [ value ].slice( noValue ) );
+		}
+
+	// For Promises/A+, convert exceptions into rejections
+	// Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in
+	// Deferred#then to conditionally suppress rejection.
+	} catch ( value ) {
+
+		// Support: Android 4.0 only
+		// Strict mode functions invoked without .call/.apply get global-object context
+		reject.apply( undefined, [ value ] );
+	}
+}
+
+jQuery.extend( {
+
+	Deferred: function( func ) {
+		var tuples = [
+
+				// action, add listener, callbacks,
+				// ... .then handlers, argument index, [final state]
+				[ "notify", "progress", jQuery.Callbacks( "memory" ),
+					jQuery.Callbacks( "memory" ), 2 ],
+				[ "resolve", "done", jQuery.Callbacks( "once memory" ),
+					jQuery.Callbacks( "once memory" ), 0, "resolved" ],
+				[ "reject", "fail", jQuery.Callbacks( "once memory" ),
+					jQuery.Callbacks( "once memory" ), 1, "rejected" ]
+			],
+			state = "pending",
+			promise = {
+				state: function() {
+					return state;
+				},
+				always: function() {
+					deferred.done( arguments ).fail( arguments );
+					return this;
+				},
+				"catch": function( fn ) {
+					return promise.then( null, fn );
+				},
+
+				// Keep pipe for back-compat
+				pipe: function( /* fnDone, fnFail, fnProgress */ ) {
+					var fns = arguments;
+
+					return jQuery.Deferred( function( newDefer ) {
+						jQuery.each( tuples, function( _i, tuple ) {
+
+							// Map tuples (progress, done, fail) to arguments (done, fail, progress)
+							var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ];
+
+							// deferred.progress(function() { bind to newDefer or newDefer.notify })
+							// deferred.done(function() { bind to newDefer or newDefer.resolve })
+							// deferred.fail(function() { bind to newDefer or newDefer.reject })
+							deferred[ tuple[ 1 ] ]( function() {
+								var returned = fn && fn.apply( this, arguments );
+								if ( returned && isFunction( returned.promise ) ) {
+									returned.promise()
+										.progress( newDefer.notify )
+										.done( newDefer.resolve )
+										.fail( newDefer.reject );
+								} else {
+									newDefer[ tuple[ 0 ] + "With" ](
+										this,
+										fn ? [ returned ] : arguments
+									);
+								}
+							} );
+						} );
+						fns = null;
+					} ).promise();
+				},
+				then: function( onFulfilled, onRejected, onProgress ) {
+					var maxDepth = 0;
+					function resolve( depth, deferred, handler, special ) {
+						return function() {
+							var that = this,
+								args = arguments,
+								mightThrow = function() {
+									var returned, then;
+
+									// Support: Promises/A+ section 2.3.3.3.3
+									// https://promisesaplus.com/#point-59
+									// Ignore double-resolution attempts
+									if ( depth < maxDepth ) {
+										return;
+									}
+
+									returned = handler.apply( that, args );
+
+									// Support: Promises/A+ section 2.3.1
+									// https://promisesaplus.com/#point-48
+									if ( returned === deferred.promise() ) {
+										throw new TypeError( "Thenable self-resolution" );
+									}
+
+									// Support: Promises/A+ sections 2.3.3.1, 3.5
+									// https://promisesaplus.com/#point-54
+									// https://promisesaplus.com/#point-75
+									// Retrieve `then` only once
+									then = returned &&
+
+										// Support: Promises/A+ section 2.3.4
+										// https://promisesaplus.com/#point-64
+										// Only check objects and functions for thenability
+										( typeof returned === "object" ||
+											typeof returned === "function" ) &&
+										returned.then;
+
+									// Handle a returned thenable
+									if ( isFunction( then ) ) {
+
+										// Special processors (notify) just wait for resolution
+										if ( special ) {
+											then.call(
+												returned,
+												resolve( maxDepth, deferred, Identity, special ),
+												resolve( maxDepth, deferred, Thrower, special )
+											);
+
+										// Normal processors (resolve) also hook into progress
+										} else {
+
+											// ...and disregard older resolution values
+											maxDepth++;
+
+											then.call(
+												returned,
+												resolve( maxDepth, deferred, Identity, special ),
+												resolve( maxDepth, deferred, Thrower, special ),
+												resolve( maxDepth, deferred, Identity,
+													deferred.notifyWith )
+											);
+										}
+
+									// Handle all other returned values
+									} else {
+
+										// Only substitute handlers pass on context
+										// and multiple values (non-spec behavior)
+										if ( handler !== Identity ) {
+											that = undefined;
+											args = [ returned ];
+										}
+
+										// Process the value(s)
+										// Default process is resolve
+										( special || deferred.resolveWith )( that, args );
+									}
+								},
+
+								// Only normal processors (resolve) catch and reject exceptions
+								process = special ?
+									mightThrow :
+									function() {
+										try {
+											mightThrow();
+										} catch ( e ) {
+
+											if ( jQuery.Deferred.exceptionHook ) {
+												jQuery.Deferred.exceptionHook( e,
+													process.stackTrace );
+											}
+
+											// Support: Promises/A+ section 2.3.3.3.4.1
+											// https://promisesaplus.com/#point-61
+											// Ignore post-resolution exceptions
+											if ( depth + 1 >= maxDepth ) {
+
+												// Only substitute handlers pass on context
+												// and multiple values (non-spec behavior)
+												if ( handler !== Thrower ) {
+													that = undefined;
+													args = [ e ];
+												}
+
+												deferred.rejectWith( that, args );
+											}
+										}
+									};
+
+							// Support: Promises/A+ section 2.3.3.3.1
+							// https://promisesaplus.com/#point-57
+							// Re-resolve promises immediately to dodge false rejection from
+							// subsequent errors
+							if ( depth ) {
+								process();
+							} else {
+
+								// Call an optional hook to record the stack, in case of exception
+								// since it's otherwise lost when execution goes async
+								if ( jQuery.Deferred.getStackHook ) {
+									process.stackTrace = jQuery.Deferred.getStackHook();
+								}
+								window.setTimeout( process );
+							}
+						};
+					}
+
+					return jQuery.Deferred( function( newDefer ) {
+
+						// progress_handlers.add( ... )
+						tuples[ 0 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onProgress ) ?
+									onProgress :
+									Identity,
+								newDefer.notifyWith
+							)
+						);
+
+						// fulfilled_handlers.add( ... )
+						tuples[ 1 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onFulfilled ) ?
+									onFulfilled :
+									Identity
+							)
+						);
+
+						// rejected_handlers.add( ... )
+						tuples[ 2 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onRejected ) ?
+									onRejected :
+									Thrower
+							)
+						);
+					} ).promise();
+				},
+
+				// Get a promise for this deferred
+				// If obj is provided, the promise aspect is added to the object
+				promise: function( obj ) {
+					return obj != null ? jQuery.extend( obj, promise ) : promise;
+				}
+			},
+			deferred = {};
+
+		// Add list-specific methods
+		jQuery.each( tuples, function( i, tuple ) {
+			var list = tuple[ 2 ],
+				stateString = tuple[ 5 ];
+
+			// promise.progress = list.add
+			// promise.done = list.add
+			// promise.fail = list.add
+			promise[ tuple[ 1 ] ] = list.add;
+
+			// Handle state
+			if ( stateString ) {
+				list.add(
+					function() {
+
+						// state = "resolved" (i.e., fulfilled)
+						// state = "rejected"
+						state = stateString;
+					},
+
+					// rejected_callbacks.disable
+					// fulfilled_callbacks.disable
+					tuples[ 3 - i ][ 2 ].disable,
+
+					// rejected_handlers.disable
+					// fulfilled_handlers.disable
+					tuples[ 3 - i ][ 3 ].disable,
+
+					// progress_callbacks.lock
+					tuples[ 0 ][ 2 ].lock,
+
+					// progress_handlers.lock
+					tuples[ 0 ][ 3 ].lock
+				);
+			}
+
+			// progress_handlers.fire
+			// fulfilled_handlers.fire
+			// rejected_handlers.fire
+			list.add( tuple[ 3 ].fire );
+
+			// deferred.notify = function() { deferred.notifyWith(...) }
+			// deferred.resolve = function() { deferred.resolveWith(...) }
+			// deferred.reject = function() { deferred.rejectWith(...) }
+			deferred[ tuple[ 0 ] ] = function() {
+				deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments );
+				return this;
+			};
+
+			// deferred.notifyWith = list.fireWith
+			// deferred.resolveWith = list.fireWith
+			// deferred.rejectWith = list.fireWith
+			deferred[ tuple[ 0 ] + "With" ] = list.fireWith;
+		} );
+
+		// Make the deferred a promise
+		promise.promise( deferred );
+
+		// Call given func if any
+		if ( func ) {
+			func.call( deferred, deferred );
+		}
+
+		// All done!
+		return deferred;
+	},
+
+	// Deferred helper
+	when: function( singleValue ) {
+		var
+
+			// count of uncompleted subordinates
+			remaining = arguments.length,
+
+			// count of unprocessed arguments
+			i = remaining,
+
+			// subordinate fulfillment data
+			resolveContexts = Array( i ),
+			resolveValues = slice.call( arguments ),
+
+			// the master Deferred
+			master = jQuery.Deferred(),
+
+			// subordinate callback factory
+			updateFunc = function( i ) {
+				return function( value ) {
+					resolveContexts[ i ] = this;
+					resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value;
+					if ( !( --remaining ) ) {
+						master.resolveWith( resolveContexts, resolveValues );
+					}
+				};
+			};
+
+		// Single- and empty arguments are adopted like Promise.resolve
+		if ( remaining <= 1 ) {
+			adoptValue( singleValue, master.done( updateFunc( i ) ).resolve, master.reject,
+				!remaining );
+
+			// Use .then() to unwrap secondary thenables (cf. gh-3000)
+			if ( master.state() === "pending" ||
+				isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) {
+
+				return master.then();
+			}
+		}
+
+		// Multiple arguments are aggregated like Promise.all array elements
+		while ( i-- ) {
+			adoptValue( resolveValues[ i ], updateFunc( i ), master.reject );
+		}
+
+		return master.promise();
+	}
+} );
+
+
+// These usually indicate a programmer mistake during development,
+// warn about them ASAP rather than swallowing them by default.
+var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;
+
+jQuery.Deferred.exceptionHook = function( error, stack ) {
+
+	// Support: IE 8 - 9 only
+	// Console exists when dev tools are open, which can happen at any time
+	if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) {
+		window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack );
+	}
+};
+
+
+
+
+jQuery.readyException = function( error ) {
+	window.setTimeout( function() {
+		throw error;
+	} );
+};
+
+
+
+
+// The deferred used on DOM ready
+var readyList = jQuery.Deferred();
+
+jQuery.fn.ready = function( fn ) {
+
+	readyList
+		.then( fn )
+
+		// Wrap jQuery.readyException in a function so that the lookup
+		// happens at the time of error handling instead of callback
+		// registration.
+		.catch( function( error ) {
+			jQuery.readyException( error );
+		} );
+
+	return this;
+};
+
+jQuery.extend( {
+
+	// Is the DOM ready to be used? Set to true once it occurs.
+	isReady: false,
+
+	// A counter to track how many items to wait for before
+	// the ready event fires. See #6781
+	readyWait: 1,
+
+	// Handle when the DOM is ready
+	ready: function( wait ) {
+
+		// Abort if there are pending holds or we're already ready
+		if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) {
+			return;
+		}
+
+		// Remember that the DOM is ready
+		jQuery.isReady = true;
+
+		// If a normal DOM Ready event fired, decrement, and wait if need be
+		if ( wait !== true && --jQuery.readyWait > 0 ) {
+			return;
+		}
+
+		// If there are functions bound, to execute
+		readyList.resolveWith( document, [ jQuery ] );
+	}
+} );
+
+jQuery.ready.then = readyList.then;
+
+// The ready event handler and self cleanup method
+function completed() {
+	document.removeEventListener( "DOMContentLoaded", completed );
+	window.removeEventListener( "load", completed );
+	jQuery.ready();
+}
+
+// Catch cases where $(document).ready() is called
+// after the browser event has already occurred.
+// Support: IE <=9 - 10 only
+// Older IE sometimes signals "interactive" too soon
+if ( document.readyState === "complete" ||
+	( document.readyState !== "loading" && !document.documentElement.doScroll ) ) {
+
+	// Handle it asynchronously to allow scripts the opportunity to delay ready
+	window.setTimeout( jQuery.ready );
+
+} else {
+
+	// Use the handy event callback
+	document.addEventListener( "DOMContentLoaded", completed );
+
+	// A fallback to window.onload, that will always work
+	window.addEventListener( "load", completed );
+}
+
+
+
+
+// Multifunctional method to get and set values of a collection
+// The value/s can optionally be executed if it's a function
+var access = function( elems, fn, key, value, chainable, emptyGet, raw ) {
+	var i = 0,
+		len = elems.length,
+		bulk = key == null;
+
+	// Sets many values
+	if ( toType( key ) === "object" ) {
+		chainable = true;
+		for ( i in key ) {
+			access( elems, fn, i, key[ i ], true, emptyGet, raw );
+		}
+
+	// Sets one value
+	} else if ( value !== undefined ) {
+		chainable = true;
+
+		if ( !isFunction( value ) ) {
+			raw = true;
+		}
+
+		if ( bulk ) {
+
+			// Bulk operations run against the entire set
+			if ( raw ) {
+				fn.call( elems, value );
+				fn = null;
+
+			// ...except when executing function values
+			} else {
+				bulk = fn;
+				fn = function( elem, _key, value ) {
+					return bulk.call( jQuery( elem ), value );
+				};
+			}
+		}
+
+		if ( fn ) {
+			for ( ; i < len; i++ ) {
+				fn(
+					elems[ i ], key, raw ?
+					value :
+					value.call( elems[ i ], i, fn( elems[ i ], key ) )
+				);
+			}
+		}
+	}
+
+	if ( chainable ) {
+		return elems;
+	}
+
+	// Gets
+	if ( bulk ) {
+		return fn.call( elems );
+	}
+
+	return len ? fn( elems[ 0 ], key ) : emptyGet;
+};
+
+
+// Matches dashed string for camelizing
+var rmsPrefix = /^-ms-/,
+	rdashAlpha = /-([a-z])/g;
+
+// Used by camelCase as callback to replace()
+function fcamelCase( _all, letter ) {
+	return letter.toUpperCase();
+}
+
+// Convert dashed to camelCase; used by the css and data modules
+// Support: IE <=9 - 11, Edge 12 - 15
+// Microsoft forgot to hump their vendor prefix (#9572)
+function camelCase( string ) {
+	return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase );
+}
+var acceptData = function( owner ) {
+
+	// Accepts only:
+	//  - Node
+	//    - Node.ELEMENT_NODE
+	//    - Node.DOCUMENT_NODE
+	//  - Object
+	//    - Any
+	return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType );
+};
+
+
+
+
+function Data() {
+	this.expando = jQuery.expando + Data.uid++;
+}
+
+Data.uid = 1;
+
+Data.prototype = {
+
+	cache: function( owner ) {
+
+		// Check if the owner object already has a cache
+		var value = owner[ this.expando ];
+
+		// If not, create one
+		if ( !value ) {
+			value = {};
+
+			// We can accept data for non-element nodes in modern browsers,
+			// but we should not, see #8335.
+			// Always return an empty object.
+			if ( acceptData( owner ) ) {
+
+				// If it is a node unlikely to be stringify-ed or looped over
+				// use plain assignment
+				if ( owner.nodeType ) {
+					owner[ this.expando ] = value;
+
+				// Otherwise secure it in a non-enumerable property
+				// configurable must be true to allow the property to be
+				// deleted when data is removed
+				} else {
+					Object.defineProperty( owner, this.expando, {
+						value: value,
+						configurable: true
+					} );
+				}
+			}
+		}
+
+		return value;
+	},
+	set: function( owner, data, value ) {
+		var prop,
+			cache = this.cache( owner );
+
+		// Handle: [ owner, key, value ] args
+		// Always use camelCase key (gh-2257)
+		if ( typeof data === "string" ) {
+			cache[ camelCase( data ) ] = value;
+
+		// Handle: [ owner, { properties } ] args
+		} else {
+
+			// Copy the properties one-by-one to the cache object
+			for ( prop in data ) {
+				cache[ camelCase( prop ) ] = data[ prop ];
+			}
+		}
+		return cache;
+	},
+	get: function( owner, key ) {
+		return key === undefined ?
+			this.cache( owner ) :
+
+			// Always use camelCase key (gh-2257)
+			owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ];
+	},
+	access: function( owner, key, value ) {
+
+		// In cases where either:
+		//
+		//   1. No key was specified
+		//   2. A string key was specified, but no value provided
+		//
+		// Take the "read" path and allow the get method to determine
+		// which value to return, respectively either:
+		//
+		//   1. The entire cache object
+		//   2. The data stored at the key
+		//
+		if ( key === undefined ||
+				( ( key && typeof key === "string" ) && value === undefined ) ) {
+
+			return this.get( owner, key );
+		}
+
+		// When the key is not a string, or both a key and value
+		// are specified, set or extend (existing objects) with either:
+		//
+		//   1. An object of properties
+		//   2. A key and value
+		//
+		this.set( owner, key, value );
+
+		// Since the "set" path can have two possible entry points
+		// return the expected data based on which path was taken[*]
+		return value !== undefined ? value : key;
+	},
+	remove: function( owner, key ) {
+		var i,
+			cache = owner[ this.expando ];
+
+		if ( cache === undefined ) {
+			return;
+		}
+
+		if ( key !== undefined ) {
+
+			// Support array or space separated string of keys
+			if ( Array.isArray( key ) ) {
+
+				// If key is an array of keys...
+				// We always set camelCase keys, so remove that.
+				key = key.map( camelCase );
+			} else {
+				key = camelCase( key );
+
+				// If a key with the spaces exists, use it.
+				// Otherwise, create an array by matching non-whitespace
+				key = key in cache ?
+					[ key ] :
+					( key.match( rnothtmlwhite ) || [] );
+			}
+
+			i = key.length;
+
+			while ( i-- ) {
+				delete cache[ key[ i ] ];
+			}
+		}
+
+		// Remove the expando if there's no more data
+		if ( key === undefined || jQuery.isEmptyObject( cache ) ) {
+
+			// Support: Chrome <=35 - 45
+			// Webkit & Blink performance suffers when deleting properties
+			// from DOM nodes, so set to undefined instead
+			// https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted)
+			if ( owner.nodeType ) {
+				owner[ this.expando ] = undefined;
+			} else {
+				delete owner[ this.expando ];
+			}
+		}
+	},
+	hasData: function( owner ) {
+		var cache = owner[ this.expando ];
+		return cache !== undefined && !jQuery.isEmptyObject( cache );
+	}
+};
+var dataPriv = new Data();
+
+var dataUser = new Data();
+
+
+
+//	Implementation Summary
+//
+//	1. Enforce API surface and semantic compatibility with 1.9.x branch
+//	2. Improve the module's maintainability by reducing the storage
+//		paths to a single mechanism.
+//	3. Use the same single mechanism to support "private" and "user" data.
+//	4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData)
+//	5. Avoid exposing implementation details on user objects (eg. expando properties)
+//	6. Provide a clear path for implementation upgrade to WeakMap in 2014
+
+var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,
+	rmultiDash = /[A-Z]/g;
+
+function getData( data ) {
+	if ( data === "true" ) {
+		return true;
+	}
+
+	if ( data === "false" ) {
+		return false;
+	}
+
+	if ( data === "null" ) {
+		return null;
+	}
+
+	// Only convert to a number if it doesn't change the string
+	if ( data === +data + "" ) {
+		return +data;
+	}
+
+	if ( rbrace.test( data ) ) {
+		return JSON.parse( data );
+	}
+
+	return data;
+}
+
+function dataAttr( elem, key, data ) {
+	var name;
+
+	// If nothing was found internally, try to fetch any
+	// data from the HTML5 data-* attribute
+	if ( data === undefined && elem.nodeType === 1 ) {
+		name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase();
+		data = elem.getAttribute( name );
+
+		if ( typeof data === "string" ) {
+			try {
+				data = getData( data );
+			} catch ( e ) {}
+
+			// Make sure we set the data so it isn't changed later
+			dataUser.set( elem, key, data );
+		} else {
+			data = undefined;
+		}
+	}
+	return data;
+}
+
+jQuery.extend( {
+	hasData: function( elem ) {
+		return dataUser.hasData( elem ) || dataPriv.hasData( elem );
+	},
+
+	data: function( elem, name, data ) {
+		return dataUser.access( elem, name, data );
+	},
+
+	removeData: function( elem, name ) {
+		dataUser.remove( elem, name );
+	},
+
+	// TODO: Now that all calls to _data and _removeData have been replaced
+	// with direct calls to dataPriv methods, these can be deprecated.
+	_data: function( elem, name, data ) {
+		return dataPriv.access( elem, name, data );
+	},
+
+	_removeData: function( elem, name ) {
+		dataPriv.remove( elem, name );
+	}
+} );
+
+jQuery.fn.extend( {
+	data: function( key, value ) {
+		var i, name, data,
+			elem = this[ 0 ],
+			attrs = elem && elem.attributes;
+
+		// Gets all values
+		if ( key === undefined ) {
+			if ( this.length ) {
+				data = dataUser.get( elem );
+
+				if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) {
+					i = attrs.length;
+					while ( i-- ) {
+
+						// Support: IE 11 only
+						// The attrs elements can be null (#14894)
+						if ( attrs[ i ] ) {
+							name = attrs[ i ].name;
+							if ( name.indexOf( "data-" ) === 0 ) {
+								name = camelCase( name.slice( 5 ) );
+								dataAttr( elem, name, data[ name ] );
+							}
+						}
+					}
+					dataPriv.set( elem, "hasDataAttrs", true );
+				}
+			}
+
+			return data;
+		}
+
+		// Sets multiple values
+		if ( typeof key === "object" ) {
+			return this.each( function() {
+				dataUser.set( this, key );
+			} );
+		}
+
+		return access( this, function( value ) {
+			var data;
+
+			// The calling jQuery object (element matches) is not empty
+			// (and therefore has an element appears at this[ 0 ]) and the
+			// `value` parameter was not undefined. An empty jQuery object
+			// will result in `undefined` for elem = this[ 0 ] which will
+			// throw an exception if an attempt to read a data cache is made.
+			if ( elem && value === undefined ) {
+
+				// Attempt to get data from the cache
+				// The key will always be camelCased in Data
+				data = dataUser.get( elem, key );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// Attempt to "discover" the data in
+				// HTML5 custom data-* attrs
+				data = dataAttr( elem, key );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// We tried really hard, but the data doesn't exist.
+				return;
+			}
+
+			// Set the data...
+			this.each( function() {
+
+				// We always store the camelCased key
+				dataUser.set( this, key, value );
+			} );
+		}, null, value, arguments.length > 1, null, true );
+	},
+
+	removeData: function( key ) {
+		return this.each( function() {
+			dataUser.remove( this, key );
+		} );
+	}
+} );
+
+
+jQuery.extend( {
+	queue: function( elem, type, data ) {
+		var queue;
+
+		if ( elem ) {
+			type = ( type || "fx" ) + "queue";
+			queue = dataPriv.get( elem, type );
+
+			// Speed up dequeue by getting out quickly if this is just a lookup
+			if ( data ) {
+				if ( !queue || Array.isArray( data ) ) {
+					queue = dataPriv.access( elem, type, jQuery.makeArray( data ) );
+				} else {
+					queue.push( data );
+				}
+			}
+			return queue || [];
+		}
+	},
+
+	dequeue: function( elem, type ) {
+		type = type || "fx";
+
+		var queue = jQuery.queue( elem, type ),
+			startLength = queue.length,
+			fn = queue.shift(),
+			hooks = jQuery._queueHooks( elem, type ),
+			next = function() {
+				jQuery.dequeue( elem, type );
+			};
+
+		// If the fx queue is dequeued, always remove the progress sentinel
+		if ( fn === "inprogress" ) {
+			fn = queue.shift();
+			startLength--;
+		}
+
+		if ( fn ) {
+
+			// Add a progress sentinel to prevent the fx queue from being
+			// automatically dequeued
+			if ( type === "fx" ) {
+				queue.unshift( "inprogress" );
+			}
+
+			// Clear up the last queue stop function
+			delete hooks.stop;
+			fn.call( elem, next, hooks );
+		}
+
+		if ( !startLength && hooks ) {
+			hooks.empty.fire();
+		}
+	},
+
+	// Not public - generate a queueHooks object, or return the current one
+	_queueHooks: function( elem, type ) {
+		var key = type + "queueHooks";
+		return dataPriv.get( elem, key ) || dataPriv.access( elem, key, {
+			empty: jQuery.Callbacks( "once memory" ).add( function() {
+				dataPriv.remove( elem, [ type + "queue", key ] );
+			} )
+		} );
+	}
+} );
+
+jQuery.fn.extend( {
+	queue: function( type, data ) {
+		var setter = 2;
+
+		if ( typeof type !== "string" ) {
+			data = type;
+			type = "fx";
+			setter--;
+		}
+
+		if ( arguments.length < setter ) {
+			return jQuery.queue( this[ 0 ], type );
+		}
+
+		return data === undefined ?
+			this :
+			this.each( function() {
+				var queue = jQuery.queue( this, type, data );
+
+				// Ensure a hooks for this queue
+				jQuery._queueHooks( this, type );
+
+				if ( type === "fx" && queue[ 0 ] !== "inprogress" ) {
+					jQuery.dequeue( this, type );
+				}
+			} );
+	},
+	dequeue: function( type ) {
+		return this.each( function() {
+			jQuery.dequeue( this, type );
+		} );
+	},
+	clearQueue: function( type ) {
+		return this.queue( type || "fx", [] );
+	},
+
+	// Get a promise resolved when queues of a certain type
+	// are emptied (fx is the type by default)
+	promise: function( type, obj ) {
+		var tmp,
+			count = 1,
+			defer = jQuery.Deferred(),
+			elements = this,
+			i = this.length,
+			resolve = function() {
+				if ( !( --count ) ) {
+					defer.resolveWith( elements, [ elements ] );
+				}
+			};
+
+		if ( typeof type !== "string" ) {
+			obj = type;
+			type = undefined;
+		}
+		type = type || "fx";
+
+		while ( i-- ) {
+			tmp = dataPriv.get( elements[ i ], type + "queueHooks" );
+			if ( tmp && tmp.empty ) {
+				count++;
+				tmp.empty.add( resolve );
+			}
+		}
+		resolve();
+		return defer.promise( obj );
+	}
+} );
+var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source;
+
+var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" );
+
+
+var cssExpand = [ "Top", "Right", "Bottom", "Left" ];
+
+var documentElement = document.documentElement;
+
+
+
+	var isAttached = function( elem ) {
+			return jQuery.contains( elem.ownerDocument, elem );
+		},
+		composed = { composed: true };
+
+	// Support: IE 9 - 11+, Edge 12 - 18+, iOS 10.0 - 10.2 only
+	// Check attachment across shadow DOM boundaries when possible (gh-3504)
+	// Support: iOS 10.0-10.2 only
+	// Early iOS 10 versions support `attachShadow` but not `getRootNode`,
+	// leading to errors. We need to check for `getRootNode`.
+	if ( documentElement.getRootNode ) {
+		isAttached = function( elem ) {
+			return jQuery.contains( elem.ownerDocument, elem ) ||
+				elem.getRootNode( composed ) === elem.ownerDocument;
+		};
+	}
+var isHiddenWithinTree = function( elem, el ) {
+
+		// isHiddenWithinTree might be called from jQuery#filter function;
+		// in that case, element will be second argument
+		elem = el || elem;
+
+		// Inline style trumps all
+		return elem.style.display === "none" ||
+			elem.style.display === "" &&
+
+			// Otherwise, check computed style
+			// Support: Firefox <=43 - 45
+			// Disconnected elements can have computed display: none, so first confirm that elem is
+			// in the document.
+			isAttached( elem ) &&
+
+			jQuery.css( elem, "display" ) === "none";
+	};
+
+
+
+function adjustCSS( elem, prop, valueParts, tween ) {
+	var adjusted, scale,
+		maxIterations = 20,
+		currentValue = tween ?
+			function() {
+				return tween.cur();
+			} :
+			function() {
+				return jQuery.css( elem, prop, "" );
+			},
+		initial = currentValue(),
+		unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ),
+
+		// Starting value computation is required for potential unit mismatches
+		initialInUnit = elem.nodeType &&
+			( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) &&
+			rcssNum.exec( jQuery.css( elem, prop ) );
+
+	if ( initialInUnit && initialInUnit[ 3 ] !== unit ) {
+
+		// Support: Firefox <=54
+		// Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144)
+		initial = initial / 2;
+
+		// Trust units reported by jQuery.css
+		unit = unit || initialInUnit[ 3 ];
+
+		// Iteratively approximate from a nonzero starting point
+		initialInUnit = +initial || 1;
+
+		while ( maxIterations-- ) {
+
+			// Evaluate and update our best guess (doubling guesses that zero out).
+			// Finish if the scale equals or crosses 1 (making the old*new product non-positive).
+			jQuery.style( elem, prop, initialInUnit + unit );
+			if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) {
+				maxIterations = 0;
+			}
+			initialInUnit = initialInUnit / scale;
+
+		}
+
+		initialInUnit = initialInUnit * 2;
+		jQuery.style( elem, prop, initialInUnit + unit );
+
+		// Make sure we update the tween properties later on
+		valueParts = valueParts || [];
+	}
+
+	if ( valueParts ) {
+		initialInUnit = +initialInUnit || +initial || 0;
+
+		// Apply relative offset (+=/-=) if specified
+		adjusted = valueParts[ 1 ] ?
+			initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] :
+			+valueParts[ 2 ];
+		if ( tween ) {
+			tween.unit = unit;
+			tween.start = initialInUnit;
+			tween.end = adjusted;
+		}
+	}
+	return adjusted;
+}
+
+
+var defaultDisplayMap = {};
+
+function getDefaultDisplay( elem ) {
+	var temp,
+		doc = elem.ownerDocument,
+		nodeName = elem.nodeName,
+		display = defaultDisplayMap[ nodeName ];
+
+	if ( display ) {
+		return display;
+	}
+
+	temp = doc.body.appendChild( doc.createElement( nodeName ) );
+	display = jQuery.css( temp, "display" );
+
+	temp.parentNode.removeChild( temp );
+
+	if ( display === "none" ) {
+		display = "block";
+	}
+	defaultDisplayMap[ nodeName ] = display;
+
+	return display;
+}
+
+function showHide( elements, show ) {
+	var display, elem,
+		values = [],
+		index = 0,
+		length = elements.length;
+
+	// Determine new display value for elements that need to change
+	for ( ; index < length; index++ ) {
+		elem = elements[ index ];
+		if ( !elem.style ) {
+			continue;
+		}
+
+		display = elem.style.display;
+		if ( show ) {
+
+			// Since we force visibility upon cascade-hidden elements, an immediate (and slow)
+			// check is required in this first loop unless we have a nonempty display value (either
+			// inline or about-to-be-restored)
+			if ( display === "none" ) {
+				values[ index ] = dataPriv.get( elem, "display" ) || null;
+				if ( !values[ index ] ) {
+					elem.style.display = "";
+				}
+			}
+			if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) {
+				values[ index ] = getDefaultDisplay( elem );
+			}
+		} else {
+			if ( display !== "none" ) {
+				values[ index ] = "none";
+
+				// Remember what we're overwriting
+				dataPriv.set( elem, "display", display );
+			}
+		}
+	}
+
+	// Set the display of the elements in a second loop to avoid constant reflow
+	for ( index = 0; index < length; index++ ) {
+		if ( values[ index ] != null ) {
+			elements[ index ].style.display = values[ index ];
+		}
+	}
+
+	return elements;
+}
+
+jQuery.fn.extend( {
+	show: function() {
+		return showHide( this, true );
+	},
+	hide: function() {
+		return showHide( this );
+	},
+	toggle: function( state ) {
+		if ( typeof state === "boolean" ) {
+			return state ? this.show() : this.hide();
+		}
+
+		return this.each( function() {
+			if ( isHiddenWithinTree( this ) ) {
+				jQuery( this ).show();
+			} else {
+				jQuery( this ).hide();
+			}
+		} );
+	}
+} );
+var rcheckableType = ( /^(?:checkbox|radio)$/i );
+
+var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]*)/i );
+
+var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i );
+
+
+
+( function() {
+	var fragment = document.createDocumentFragment(),
+		div = fragment.appendChild( document.createElement( "div" ) ),
+		input = document.createElement( "input" );
+
+	// Support: Android 4.0 - 4.3 only
+	// Check state lost if the name is set (#11217)
+	// Support: Windows Web Apps (WWA)
+	// `name` and `type` must use .setAttribute for WWA (#14901)
+	input.setAttribute( "type", "radio" );
+	input.setAttribute( "checked", "checked" );
+	input.setAttribute( "name", "t" );
+
+	div.appendChild( input );
+
+	// Support: Android <=4.1 only
+	// Older WebKit doesn't clone checked state correctly in fragments
+	support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked;
+
+	// Support: IE <=11 only
+	// Make sure textarea (and checkbox) defaultValue is properly cloned
+	div.innerHTML = "<textarea>x</textarea>";
+	support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue;
+
+	// Support: IE <=9 only
+	// IE <=9 replaces <option> tags with their contents when inserted outside of
+	// the select element.
+	div.innerHTML = "<option></option>";
+	support.option = !!div.lastChild;
+} )();
+
+
+// We have to close these tags to support XHTML (#13200)
+var wrapMap = {
+
+	// XHTML parsers do not magically insert elements in the
+	// same way that tag soup parsers do. So we cannot shorten
+	// this by omitting <tbody> or other required elements.
+	thead: [ 1, "<table>", "</table>" ],
+	col: [ 2, "<table><colgroup>", "</colgroup></table>" ],
+	tr: [ 2, "<table><tbody>", "</tbody></table>" ],
+	td: [ 3, "<table><tbody><tr>", "</tr></tbody></table>" ],
+
+	_default: [ 0, "", "" ]
+};
+
+wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead;
+wrapMap.th = wrapMap.td;
+
+// Support: IE <=9 only
+if ( !support.option ) {
+	wrapMap.optgroup = wrapMap.option = [ 1, "<select multiple='multiple'>", "</select>" ];
+}
+
+
+function getAll( context, tag ) {
+
+	// Support: IE <=9 - 11 only
+	// Use typeof to avoid zero-argument method invocation on host objects (#15151)
+	var ret;
+
+	if ( typeof context.getElementsByTagName !== "undefined" ) {
+		ret = context.getElementsByTagName( tag || "*" );
+
+	} else if ( typeof context.querySelectorAll !== "undefined" ) {
+		ret = context.querySelectorAll( tag || "*" );
+
+	} else {
+		ret = [];
+	}
+
+	if ( tag === undefined || tag && nodeName( context, tag ) ) {
+		return jQuery.merge( [ context ], ret );
+	}
+
+	return ret;
+}
+
+
+// Mark scripts as having already been evaluated
+function setGlobalEval( elems, refElements ) {
+	var i = 0,
+		l = elems.length;
+
+	for ( ; i < l; i++ ) {
+		dataPriv.set(
+			elems[ i ],
+			"globalEval",
+			!refElements || dataPriv.get( refElements[ i ], "globalEval" )
+		);
+	}
+}
+
+
+var rhtml = /<|&#?\w+;/;
+
+function buildFragment( elems, context, scripts, selection, ignored ) {
+	var elem, tmp, tag, wrap, attached, j,
+		fragment = context.createDocumentFragment(),
+		nodes = [],
+		i = 0,
+		l = elems.length;
+
+	for ( ; i < l; i++ ) {
+		elem = elems[ i ];
+
+		if ( elem || elem === 0 ) {
+
+			// Add nodes directly
+			if ( toType( elem ) === "object" ) {
+
+				// Support: Android <=4.0 only, PhantomJS 1 only
+				// push.apply(_, arraylike) throws on ancient WebKit
+				jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem );
+
+			// Convert non-html into a text node
+			} else if ( !rhtml.test( elem ) ) {
+				nodes.push( context.createTextNode( elem ) );
+
+			// Convert html into DOM nodes
+			} else {
+				tmp = tmp || fragment.appendChild( context.createElement( "div" ) );
+
+				// Deserialize a standard representation
+				tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase();
+				wrap = wrapMap[ tag ] || wrapMap._default;
+				tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ];
+
+				// Descend through wrappers to the right content
+				j = wrap[ 0 ];
+				while ( j-- ) {
+					tmp = tmp.lastChild;
+				}
+
+				// Support: Android <=4.0 only, PhantomJS 1 only
+				// push.apply(_, arraylike) throws on ancient WebKit
+				jQuery.merge( nodes, tmp.childNodes );
+
+				// Remember the top-level container
+				tmp = fragment.firstChild;
+
+				// Ensure the created nodes are orphaned (#12392)
+				tmp.textContent = "";
+			}
+		}
+	}
+
+	// Remove wrapper from fragment
+	fragment.textContent = "";
+
+	i = 0;
+	while ( ( elem = nodes[ i++ ] ) ) {
+
+		// Skip elements already in the context collection (trac-4087)
+		if ( selection && jQuery.inArray( elem, selection ) > -1 ) {
+			if ( ignored ) {
+				ignored.push( elem );
+			}
+			continue;
+		}
+
+		attached = isAttached( elem );
+
+		// Append to fragment
+		tmp = getAll( fragment.appendChild( elem ), "script" );
+
+		// Preserve script evaluation history
+		if ( attached ) {
+			setGlobalEval( tmp );
+		}
+
+		// Capture executables
+		if ( scripts ) {
+			j = 0;
+			while ( ( elem = tmp[ j++ ] ) ) {
+				if ( rscriptType.test( elem.type || "" ) ) {
+					scripts.push( elem );
+				}
+			}
+		}
+	}
+
+	return fragment;
+}
+
+
+var
+	rkeyEvent = /^key/,
+	rmouseEvent = /^(?:mouse|pointer|contextmenu|drag|drop)|click/,
+	rtypenamespace = /^([^.]*)(?:\.(.+)|)/;
+
+function returnTrue() {
+	return true;
+}
+
+function returnFalse() {
+	return false;
+}
+
+// Support: IE <=9 - 11+
+// focus() and blur() are asynchronous, except when they are no-op.
+// So expect focus to be synchronous when the element is already active,
+// and blur to be synchronous when the element is not already active.
+// (focus and blur are always synchronous in other supported browsers,
+// this just defines when we can count on it).
+function expectSync( elem, type ) {
+	return ( elem === safeActiveElement() ) === ( type === "focus" );
+}
+
+// Support: IE <=9 only
+// Accessing document.activeElement can throw unexpectedly
+// https://bugs.jquery.com/ticket/13393
+function safeActiveElement() {
+	try {
+		return document.activeElement;
+	} catch ( err ) { }
+}
+
+function on( elem, types, selector, data, fn, one ) {
+	var origFn, type;
+
+	// Types can be a map of types/handlers
+	if ( typeof types === "object" ) {
+
+		// ( types-Object, selector, data )
+		if ( typeof selector !== "string" ) {
+
+			// ( types-Object, data )
+			data = data || selector;
+			selector = undefined;
+		}
+		for ( type in types ) {
+			on( elem, type, selector, data, types[ type ], one );
+		}
+		return elem;
+	}
+
+	if ( data == null && fn == null ) {
+
+		// ( types, fn )
+		fn = selector;
+		data = selector = undefined;
+	} else if ( fn == null ) {
+		if ( typeof selector === "string" ) {
+
+			// ( types, selector, fn )
+			fn = data;
+			data = undefined;
+		} else {
+
+			// ( types, data, fn )
+			fn = data;
+			data = selector;
+			selector = undefined;
+		}
+	}
+	if ( fn === false ) {
+		fn = returnFalse;
+	} else if ( !fn ) {
+		return elem;
+	}
+
+	if ( one === 1 ) {
+		origFn = fn;
+		fn = function( event ) {
+
+			// Can use an empty set, since event contains the info
+			jQuery().off( event );
+			return origFn.apply( this, arguments );
+		};
+
+		// Use same guid so caller can remove using origFn
+		fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ );
+	}
+	return elem.each( function() {
+		jQuery.event.add( this, types, fn, data, selector );
+	} );
+}
+
+/*
+ * Helper functions for managing events -- not part of the public interface.
+ * Props to Dean Edwards' addEvent library for many of the ideas.
+ */
+jQuery.event = {
+
+	global: {},
+
+	add: function( elem, types, handler, data, selector ) {
+
+		var handleObjIn, eventHandle, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = dataPriv.get( elem );
+
+		// Only attach events to objects that accept data
+		if ( !acceptData( elem ) ) {
+			return;
+		}
+
+		// Caller can pass in an object of custom data in lieu of the handler
+		if ( handler.handler ) {
+			handleObjIn = handler;
+			handler = handleObjIn.handler;
+			selector = handleObjIn.selector;
+		}
+
+		// Ensure that invalid selectors throw exceptions at attach time
+		// Evaluate against documentElement in case elem is a non-element node (e.g., document)
+		if ( selector ) {
+			jQuery.find.matchesSelector( documentElement, selector );
+		}
+
+		// Make sure that the handler has a unique ID, used to find/remove it later
+		if ( !handler.guid ) {
+			handler.guid = jQuery.guid++;
+		}
+
+		// Init the element's event structure and main handler, if this is the first
+		if ( !( events = elemData.events ) ) {
+			events = elemData.events = Object.create( null );
+		}
+		if ( !( eventHandle = elemData.handle ) ) {
+			eventHandle = elemData.handle = function( e ) {
+
+				// Discard the second event of a jQuery.event.trigger() and
+				// when an event is called after a page has unloaded
+				return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ?
+					jQuery.event.dispatch.apply( elem, arguments ) : undefined;
+			};
+		}
+
+		// Handle multiple events separated by a space
+		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[ t ] ) || [];
+			type = origType = tmp[ 1 ];
+			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+			// There *must* be a type, no attaching namespace-only handlers
+			if ( !type ) {
+				continue;
+			}
+
+			// If event changes its type, use the special event handlers for the changed type
+			special = jQuery.event.special[ type ] || {};
+
+			// If selector defined, determine special event api type, otherwise given type
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+
+			// Update special based on newly reset type
+			special = jQuery.event.special[ type ] || {};
+
+			// handleObj is passed to all event handlers
+			handleObj = jQuery.extend( {
+				type: type,
+				origType: origType,
+				data: data,
+				handler: handler,
+				guid: handler.guid,
+				selector: selector,
+				needsContext: selector && jQuery.expr.match.needsContext.test( selector ),
+				namespace: namespaces.join( "." )
+			}, handleObjIn );
+
+			// Init the event handler queue if we're the first
+			if ( !( handlers = events[ type ] ) ) {
+				handlers = events[ type ] = [];
+				handlers.delegateCount = 0;
+
+				// Only use addEventListener if the special events handler returns false
+				if ( !special.setup ||
+					special.setup.call( elem, data, namespaces, eventHandle ) === false ) {
+
+					if ( elem.addEventListener ) {
+						elem.addEventListener( type, eventHandle );
+					}
+				}
+			}
+
+			if ( special.add ) {
+				special.add.call( elem, handleObj );
+
+				if ( !handleObj.handler.guid ) {
+					handleObj.handler.guid = handler.guid;
+				}
+			}
+
+			// Add to the element's handler list, delegates in front
+			if ( selector ) {
+				handlers.splice( handlers.delegateCount++, 0, handleObj );
+			} else {
+				handlers.push( handleObj );
+			}
+
+			// Keep track of which events have ever been used, for event optimization
+			jQuery.event.global[ type ] = true;
+		}
+
+	},
+
+	// Detach an event or set of events from an element
+	remove: function( elem, types, handler, selector, mappedTypes ) {
+
+		var j, origCount, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = dataPriv.hasData( elem ) && dataPriv.get( elem );
+
+		if ( !elemData || !( events = elemData.events ) ) {
+			return;
+		}
+
+		// Once for each type.namespace in types; type may be omitted
+		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[ t ] ) || [];
+			type = origType = tmp[ 1 ];
+			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+			// Unbind all events (on this namespace, if provided) for the element
+			if ( !type ) {
+				for ( type in events ) {
+					jQuery.event.remove( elem, type + types[ t ], handler, selector, true );
+				}
+				continue;
+			}
+
+			special = jQuery.event.special[ type ] || {};
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+			handlers = events[ type ] || [];
+			tmp = tmp[ 2 ] &&
+				new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" );
+
+			// Remove matching events
+			origCount = j = handlers.length;
+			while ( j-- ) {
+				handleObj = handlers[ j ];
+
+				if ( ( mappedTypes || origType === handleObj.origType ) &&
+					( !handler || handler.guid === handleObj.guid ) &&
+					( !tmp || tmp.test( handleObj.namespace ) ) &&
+					( !selector || selector === handleObj.selector ||
+						selector === "**" && handleObj.selector ) ) {
+					handlers.splice( j, 1 );
+
+					if ( handleObj.selector ) {
+						handlers.delegateCount--;
+					}
+					if ( special.remove ) {
+						special.remove.call( elem, handleObj );
+					}
+				}
+			}
+
+			// Remove generic event handler if we removed something and no more handlers exist
+			// (avoids potential for endless recursion during removal of special event handlers)
+			if ( origCount && !handlers.length ) {
+				if ( !special.teardown ||
+					special.teardown.call( elem, namespaces, elemData.handle ) === false ) {
+
+					jQuery.removeEvent( elem, type, elemData.handle );
+				}
+
+				delete events[ type ];
+			}
+		}
+
+		// Remove data and the expando if it's no longer used
+		if ( jQuery.isEmptyObject( events ) ) {
+			dataPriv.remove( elem, "handle events" );
+		}
+	},
+
+	dispatch: function( nativeEvent ) {
+
+		var i, j, ret, matched, handleObj, handlerQueue,
+			args = new Array( arguments.length ),
+
+			// Make a writable jQuery.Event from the native event object
+			event = jQuery.event.fix( nativeEvent ),
+
+			handlers = (
+					dataPriv.get( this, "events" ) || Object.create( null )
+				)[ event.type ] || [],
+			special = jQuery.event.special[ event.type ] || {};
+
+		// Use the fix-ed jQuery.Event rather than the (read-only) native event
+		args[ 0 ] = event;
+
+		for ( i = 1; i < arguments.length; i++ ) {
+			args[ i ] = arguments[ i ];
+		}
+
+		event.delegateTarget = this;
+
+		// Call the preDispatch hook for the mapped type, and let it bail if desired
+		if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) {
+			return;
+		}
+
+		// Determine handlers
+		handlerQueue = jQuery.event.handlers.call( this, event, handlers );
+
+		// Run delegates first; they may want to stop propagation beneath us
+		i = 0;
+		while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) {
+			event.currentTarget = matched.elem;
+
+			j = 0;
+			while ( ( handleObj = matched.handlers[ j++ ] ) &&
+				!event.isImmediatePropagationStopped() ) {
+
+				// If the event is namespaced, then each handler is only invoked if it is
+				// specially universal or its namespaces are a superset of the event's.
+				if ( !event.rnamespace || handleObj.namespace === false ||
+					event.rnamespace.test( handleObj.namespace ) ) {
+
+					event.handleObj = handleObj;
+					event.data = handleObj.data;
+
+					ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle ||
+						handleObj.handler ).apply( matched.elem, args );
+
+					if ( ret !== undefined ) {
+						if ( ( event.result = ret ) === false ) {
+							event.preventDefault();
+							event.stopPropagation();
+						}
+					}
+				}
+			}
+		}
+
+		// Call the postDispatch hook for the mapped type
+		if ( special.postDispatch ) {
+			special.postDispatch.call( this, event );
+		}
+
+		return event.result;
+	},
+
+	handlers: function( event, handlers ) {
+		var i, handleObj, sel, matchedHandlers, matchedSelectors,
+			handlerQueue = [],
+			delegateCount = handlers.delegateCount,
+			cur = event.target;
+
+		// Find delegate handlers
+		if ( delegateCount &&
+
+			// Support: IE <=9
+			// Black-hole SVG <use> instance trees (trac-13180)
+			cur.nodeType &&
+
+			// Support: Firefox <=42
+			// Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861)
+			// https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click
+			// Support: IE 11 only
+			// ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343)
+			!( event.type === "click" && event.button >= 1 ) ) {
+
+			for ( ; cur !== this; cur = cur.parentNode || this ) {
+
+				// Don't check non-elements (#13208)
+				// Don't process clicks on disabled elements (#6911, #8165, #11382, #11764)
+				if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) {
+					matchedHandlers = [];
+					matchedSelectors = {};
+					for ( i = 0; i < delegateCount; i++ ) {
+						handleObj = handlers[ i ];
+
+						// Don't conflict with Object.prototype properties (#13203)
+						sel = handleObj.selector + " ";
+
+						if ( matchedSelectors[ sel ] === undefined ) {
+							matchedSelectors[ sel ] = handleObj.needsContext ?
+								jQuery( sel, this ).index( cur ) > -1 :
+								jQuery.find( sel, this, null, [ cur ] ).length;
+						}
+						if ( matchedSelectors[ sel ] ) {
+							matchedHandlers.push( handleObj );
+						}
+					}
+					if ( matchedHandlers.length ) {
+						handlerQueue.push( { elem: cur, handlers: matchedHandlers } );
+					}
+				}
+			}
+		}
+
+		// Add the remaining (directly-bound) handlers
+		cur = this;
+		if ( delegateCount < handlers.length ) {
+			handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } );
+		}
+
+		return handlerQueue;
+	},
+
+	addProp: function( name, hook ) {
+		Object.defineProperty( jQuery.Event.prototype, name, {
+			enumerable: true,
+			configurable: true,
+
+			get: isFunction( hook ) ?
+				function() {
+					if ( this.originalEvent ) {
+							return hook( this.originalEvent );
+					}
+				} :
+				function() {
+					if ( this.originalEvent ) {
+							return this.originalEvent[ name ];
+					}
+				},
+
+			set: function( value ) {
+				Object.defineProperty( this, name, {
+					enumerable: true,
+					configurable: true,
+					writable: true,
+					value: value
+				} );
+			}
+		} );
+	},
+
+	fix: function( originalEvent ) {
+		return originalEvent[ jQuery.expando ] ?
+			originalEvent :
+			new jQuery.Event( originalEvent );
+	},
+
+	special: {
+		load: {
+
+			// Prevent triggered image.load events from bubbling to window.load
+			noBubble: true
+		},
+		click: {
+
+			// Utilize native event to ensure correct state for checkable inputs
+			setup: function( data ) {
+
+				// For mutual compressibility with _default, replace `this` access with a local var.
+				// `|| data` is dead code meant only to preserve the variable through minification.
+				var el = this || data;
+
+				// Claim the first handler
+				if ( rcheckableType.test( el.type ) &&
+					el.click && nodeName( el, "input" ) ) {
+
+					// dataPriv.set( el, "click", ... )
+					leverageNative( el, "click", returnTrue );
+				}
+
+				// Return false to allow normal processing in the caller
+				return false;
+			},
+			trigger: function( data ) {
+
+				// For mutual compressibility with _default, replace `this` access with a local var.
+				// `|| data` is dead code meant only to preserve the variable through minification.
+				var el = this || data;
+
+				// Force setup before triggering a click
+				if ( rcheckableType.test( el.type ) &&
+					el.click && nodeName( el, "input" ) ) {
+
+					leverageNative( el, "click" );
+				}
+
+				// Return non-false to allow normal event-path propagation
+				return true;
+			},
+
+			// For cross-browser consistency, suppress native .click() on links
+			// Also prevent it if we're currently inside a leveraged native-event stack
+			_default: function( event ) {
+				var target = event.target;
+				return rcheckableType.test( target.type ) &&
+					target.click && nodeName( target, "input" ) &&
+					dataPriv.get( target, "click" ) ||
+					nodeName( target, "a" );
+			}
+		},
+
+		beforeunload: {
+			postDispatch: function( event ) {
+
+				// Support: Firefox 20+
+				// Firefox doesn't alert if the returnValue field is not set.
+				if ( event.result !== undefined && event.originalEvent ) {
+					event.originalEvent.returnValue = event.result;
+				}
+			}
+		}
+	}
+};
+
+// Ensure the presence of an event listener that handles manually-triggered
+// synthetic events by interrupting progress until reinvoked in response to
+// *native* events that it fires directly, ensuring that state changes have
+// already occurred before other listeners are invoked.
+function leverageNative( el, type, expectSync ) {
+
+	// Missing expectSync indicates a trigger call, which must force setup through jQuery.event.add
+	if ( !expectSync ) {
+		if ( dataPriv.get( el, type ) === undefined ) {
+			jQuery.event.add( el, type, returnTrue );
+		}
+		return;
+	}
+
+	// Register the controller as a special universal handler for all event namespaces
+	dataPriv.set( el, type, false );
+	jQuery.event.add( el, type, {
+		namespace: false,
+		handler: function( event ) {
+			var notAsync, result,
+				saved = dataPriv.get( this, type );
+
+			if ( ( event.isTrigger & 1 ) && this[ type ] ) {
+
+				// Interrupt processing of the outer synthetic .trigger()ed event
+				// Saved data should be false in such cases, but might be a leftover capture object
+				// from an async native handler (gh-4350)
+				if ( !saved.length ) {
+
+					// Store arguments for use when handling the inner native event
+					// There will always be at least one argument (an event object), so this array
+					// will not be confused with a leftover capture object.
+					saved = slice.call( arguments );
+					dataPriv.set( this, type, saved );
+
+					// Trigger the native event and capture its result
+					// Support: IE <=9 - 11+
+					// focus() and blur() are asynchronous
+					notAsync = expectSync( this, type );
+					this[ type ]();
+					result = dataPriv.get( this, type );
+					if ( saved !== result || notAsync ) {
+						dataPriv.set( this, type, false );
+					} else {
+						result = {};
+					}
+					if ( saved !== result ) {
+
+						// Cancel the outer synthetic event
+						event.stopImmediatePropagation();
+						event.preventDefault();
+						return result.value;
+					}
+
+				// If this is an inner synthetic event for an event with a bubbling surrogate
+				// (focus or blur), assume that the surrogate already propagated from triggering the
+				// native event and prevent that from happening again here.
+				// This technically gets the ordering wrong w.r.t. to `.trigger()` (in which the
+				// bubbling surrogate propagates *after* the non-bubbling base), but that seems
+				// less bad than duplication.
+				} else if ( ( jQuery.event.special[ type ] || {} ).delegateType ) {
+					event.stopPropagation();
+				}
+
+			// If this is a native event triggered above, everything is now in order
+			// Fire an inner synthetic event with the original arguments
+			} else if ( saved.length ) {
+
+				// ...and capture the result
+				dataPriv.set( this, type, {
+					value: jQuery.event.trigger(
+
+						// Support: IE <=9 - 11+
+						// Extend with the prototype to reset the above stopImmediatePropagation()
+						jQuery.extend( saved[ 0 ], jQuery.Event.prototype ),
+						saved.slice( 1 ),
+						this
+					)
+				} );
+
+				// Abort handling of the native event
+				event.stopImmediatePropagation();
+			}
+		}
+	} );
+}
+
+jQuery.removeEvent = function( elem, type, handle ) {
+
+	// This "if" is needed for plain objects
+	if ( elem.removeEventListener ) {
+		elem.removeEventListener( type, handle );
+	}
+};
+
+jQuery.Event = function( src, props ) {
+
+	// Allow instantiation without the 'new' keyword
+	if ( !( this instanceof jQuery.Event ) ) {
+		return new jQuery.Event( src, props );
+	}
+
+	// Event object
+	if ( src && src.type ) {
+		this.originalEvent = src;
+		this.type = src.type;
+
+		// Events bubbling up the document may have been marked as prevented
+		// by a handler lower down the tree; reflect the correct value.
+		this.isDefaultPrevented = src.defaultPrevented ||
+				src.defaultPrevented === undefined &&
+
+				// Support: Android <=2.3 only
+				src.returnValue === false ?
+			returnTrue :
+			returnFalse;
+
+		// Create target properties
+		// Support: Safari <=6 - 7 only
+		// Target should not be a text node (#504, #13143)
+		this.target = ( src.target && src.target.nodeType === 3 ) ?
+			src.target.parentNode :
+			src.target;
+
+		this.currentTarget = src.currentTarget;
+		this.relatedTarget = src.relatedTarget;
+
+	// Event type
+	} else {
+		this.type = src;
+	}
+
+	// Put explicitly provided properties onto the event object
+	if ( props ) {
+		jQuery.extend( this, props );
+	}
+
+	// Create a timestamp if incoming event doesn't have one
+	this.timeStamp = src && src.timeStamp || Date.now();
+
+	// Mark it as fixed
+	this[ jQuery.expando ] = true;
+};
+
+// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding
+// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html
+jQuery.Event.prototype = {
+	constructor: jQuery.Event,
+	isDefaultPrevented: returnFalse,
+	isPropagationStopped: returnFalse,
+	isImmediatePropagationStopped: returnFalse,
+	isSimulated: false,
+
+	preventDefault: function() {
+		var e = this.originalEvent;
+
+		this.isDefaultPrevented = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.preventDefault();
+		}
+	},
+	stopPropagation: function() {
+		var e = this.originalEvent;
+
+		this.isPropagationStopped = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.stopPropagation();
+		}
+	},
+	stopImmediatePropagation: function() {
+		var e = this.originalEvent;
+
+		this.isImmediatePropagationStopped = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.stopImmediatePropagation();
+		}
+
+		this.stopPropagation();
+	}
+};
+
+// Includes all common event props including KeyEvent and MouseEvent specific props
+jQuery.each( {
+	altKey: true,
+	bubbles: true,
+	cancelable: true,
+	changedTouches: true,
+	ctrlKey: true,
+	detail: true,
+	eventPhase: true,
+	metaKey: true,
+	pageX: true,
+	pageY: true,
+	shiftKey: true,
+	view: true,
+	"char": true,
+	code: true,
+	charCode: true,
+	key: true,
+	keyCode: true,
+	button: true,
+	buttons: true,
+	clientX: true,
+	clientY: true,
+	offsetX: true,
+	offsetY: true,
+	pointerId: true,
+	pointerType: true,
+	screenX: true,
+	screenY: true,
+	targetTouches: true,
+	toElement: true,
+	touches: true,
+
+	which: function( event ) {
+		var button = event.button;
+
+		// Add which for key events
+		if ( event.which == null && rkeyEvent.test( event.type ) ) {
+			return event.charCode != null ? event.charCode : event.keyCode;
+		}
+
+		// Add which for click: 1 === left; 2 === middle; 3 === right
+		if ( !event.which && button !== undefined && rmouseEvent.test( event.type ) ) {
+			if ( button & 1 ) {
+				return 1;
+			}
+
+			if ( button & 2 ) {
+				return 3;
+			}
+
+			if ( button & 4 ) {
+				return 2;
+			}
+
+			return 0;
+		}
+
+		return event.which;
+	}
+}, jQuery.event.addProp );
+
+jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) {
+	jQuery.event.special[ type ] = {
+
+		// Utilize native event if possible so blur/focus sequence is correct
+		setup: function() {
+
+			// Claim the first handler
+			// dataPriv.set( this, "focus", ... )
+			// dataPriv.set( this, "blur", ... )
+			leverageNative( this, type, expectSync );
+
+			// Return false to allow normal processing in the caller
+			return false;
+		},
+		trigger: function() {
+
+			// Force setup before trigger
+			leverageNative( this, type );
+
+			// Return non-false to allow normal event-path propagation
+			return true;
+		},
+
+		delegateType: delegateType
+	};
+} );
+
+// Create mouseenter/leave events using mouseover/out and event-time checks
+// so that event delegation works in jQuery.
+// Do the same for pointerenter/pointerleave and pointerover/pointerout
+//
+// Support: Safari 7 only
+// Safari sends mouseenter too often; see:
+// https://bugs.chromium.org/p/chromium/issues/detail?id=470258
+// for the description of the bug (it existed in older Chrome versions as well).
+jQuery.each( {
+	mouseenter: "mouseover",
+	mouseleave: "mouseout",
+	pointerenter: "pointerover",
+	pointerleave: "pointerout"
+}, function( orig, fix ) {
+	jQuery.event.special[ orig ] = {
+		delegateType: fix,
+		bindType: fix,
+
+		handle: function( event ) {
+			var ret,
+				target = this,
+				related = event.relatedTarget,
+				handleObj = event.handleObj;
+
+			// For mouseenter/leave call the handler if related is outside the target.
+			// NB: No relatedTarget if the mouse left/entered the browser window
+			if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) {
+				event.type = handleObj.origType;
+				ret = handleObj.handler.apply( this, arguments );
+				event.type = fix;
+			}
+			return ret;
+		}
+	};
+} );
+
+jQuery.fn.extend( {
+
+	on: function( types, selector, data, fn ) {
+		return on( this, types, selector, data, fn );
+	},
+	one: function( types, selector, data, fn ) {
+		return on( this, types, selector, data, fn, 1 );
+	},
+	off: function( types, selector, fn ) {
+		var handleObj, type;
+		if ( types && types.preventDefault && types.handleObj ) {
+
+			// ( event )  dispatched jQuery.Event
+			handleObj = types.handleObj;
+			jQuery( types.delegateTarget ).off(
+				handleObj.namespace ?
+					handleObj.origType + "." + handleObj.namespace :
+					handleObj.origType,
+				handleObj.selector,
+				handleObj.handler
+			);
+			return this;
+		}
+		if ( typeof types === "object" ) {
+
+			// ( types-object [, selector] )
+			for ( type in types ) {
+				this.off( type, selector, types[ type ] );
+			}
+			return this;
+		}
+		if ( selector === false || typeof selector === "function" ) {
+
+			// ( types [, fn] )
+			fn = selector;
+			selector = undefined;
+		}
+		if ( fn === false ) {
+			fn = returnFalse;
+		}
+		return this.each( function() {
+			jQuery.event.remove( this, types, fn, selector );
+		} );
+	}
+} );
+
+
+var
+
+	// Support: IE <=10 - 11, Edge 12 - 13 only
+	// In IE/Edge using regex groups here causes severe slowdowns.
+	// See https://connect.microsoft.com/IE/feedback/details/1736512/
+	rnoInnerhtml = /<script|<style|<link/i,
+
+	// checked="checked" or checked
+	rchecked = /checked\s*(?:[^=]|=\s*.checked.)/i,
+	rcleanScript = /^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;
+
+// Prefer a tbody over its parent table for containing new rows
+function manipulationTarget( elem, content ) {
+	if ( nodeName( elem, "table" ) &&
+		nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) {
+
+		return jQuery( elem ).children( "tbody" )[ 0 ] || elem;
+	}
+
+	return elem;
+}
+
+// Replace/restore the type attribute of script elements for safe DOM manipulation
+function disableScript( elem ) {
+	elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type;
+	return elem;
+}
+function restoreScript( elem ) {
+	if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) {
+		elem.type = elem.type.slice( 5 );
+	} else {
+		elem.removeAttribute( "type" );
+	}
+
+	return elem;
+}
+
+function cloneCopyEvent( src, dest ) {
+	var i, l, type, pdataOld, udataOld, udataCur, events;
+
+	if ( dest.nodeType !== 1 ) {
+		return;
+	}
+
+	// 1. Copy private data: events, handlers, etc.
+	if ( dataPriv.hasData( src ) ) {
+		pdataOld = dataPriv.get( src );
+		events = pdataOld.events;
+
+		if ( events ) {
+			dataPriv.remove( dest, "handle events" );
+
+			for ( type in events ) {
+				for ( i = 0, l = events[ type ].length; i < l; i++ ) {
+					jQuery.event.add( dest, type, events[ type ][ i ] );
+				}
+			}
+		}
+	}
+
+	// 2. Copy user data
+	if ( dataUser.hasData( src ) ) {
+		udataOld = dataUser.access( src );
+		udataCur = jQuery.extend( {}, udataOld );
+
+		dataUser.set( dest, udataCur );
+	}
+}
+
+// Fix IE bugs, see support tests
+function fixInput( src, dest ) {
+	var nodeName = dest.nodeName.toLowerCase();
+
+	// Fails to persist the checked state of a cloned checkbox or radio button.
+	if ( nodeName === "input" && rcheckableType.test( src.type ) ) {
+		dest.checked = src.checked;
+
+	// Fails to return the selected option to the default selected state when cloning options
+	} else if ( nodeName === "input" || nodeName === "textarea" ) {
+		dest.defaultValue = src.defaultValue;
+	}
+}
+
+function domManip( collection, args, callback, ignored ) {
+
+	// Flatten any nested arrays
+	args = flat( args );
+
+	var fragment, first, scripts, hasScripts, node, doc,
+		i = 0,
+		l = collection.length,
+		iNoClone = l - 1,
+		value = args[ 0 ],
+		valueIsFunction = isFunction( value );
+
+	// We can't cloneNode fragments that contain checked, in WebKit
+	if ( valueIsFunction ||
+			( l > 1 && typeof value === "string" &&
+				!support.checkClone && rchecked.test( value ) ) ) {
+		return collection.each( function( index ) {
+			var self = collection.eq( index );
+			if ( valueIsFunction ) {
+				args[ 0 ] = value.call( this, index, self.html() );
+			}
+			domManip( self, args, callback, ignored );
+		} );
+	}
+
+	if ( l ) {
+		fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored );
+		first = fragment.firstChild;
+
+		if ( fragment.childNodes.length === 1 ) {
+			fragment = first;
+		}
+
+		// Require either new content or an interest in ignored elements to invoke the callback
+		if ( first || ignored ) {
+			scripts = jQuery.map( getAll( fragment, "script" ), disableScript );
+			hasScripts = scripts.length;
+
+			// Use the original fragment for the last item
+			// instead of the first because it can end up
+			// being emptied incorrectly in certain situations (#8070).
+			for ( ; i < l; i++ ) {
+				node = fragment;
+
+				if ( i !== iNoClone ) {
+					node = jQuery.clone( node, true, true );
+
+					// Keep references to cloned scripts for later restoration
+					if ( hasScripts ) {
+
+						// Support: Android <=4.0 only, PhantomJS 1 only
+						// push.apply(_, arraylike) throws on ancient WebKit
+						jQuery.merge( scripts, getAll( node, "script" ) );
+					}
+				}
+
+				callback.call( collection[ i ], node, i );
+			}
+
+			if ( hasScripts ) {
+				doc = scripts[ scripts.length - 1 ].ownerDocument;
+
+				// Reenable scripts
+				jQuery.map( scripts, restoreScript );
+
+				// Evaluate executable scripts on first document insertion
+				for ( i = 0; i < hasScripts; i++ ) {
+					node = scripts[ i ];
+					if ( rscriptType.test( node.type || "" ) &&
+						!dataPriv.access( node, "globalEval" ) &&
+						jQuery.contains( doc, node ) ) {
+
+						if ( node.src && ( node.type || "" ).toLowerCase()  !== "module" ) {
+
+							// Optional AJAX dependency, but won't run scripts if not present
+							if ( jQuery._evalUrl && !node.noModule ) {
+								jQuery._evalUrl( node.src, {
+									nonce: node.nonce || node.getAttribute( "nonce" )
+								}, doc );
+							}
+						} else {
+							DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc );
+						}
+					}
+				}
+			}
+		}
+	}
+
+	return collection;
+}
+
+function remove( elem, selector, keepData ) {
+	var node,
+		nodes = selector ? jQuery.filter( selector, elem ) : elem,
+		i = 0;
+
+	for ( ; ( node = nodes[ i ] ) != null; i++ ) {
+		if ( !keepData && node.nodeType === 1 ) {
+			jQuery.cleanData( getAll( node ) );
+		}
+
+		if ( node.parentNode ) {
+			if ( keepData && isAttached( node ) ) {
+				setGlobalEval( getAll( node, "script" ) );
+			}
+			node.parentNode.removeChild( node );
+		}
+	}
+
+	return elem;
+}
+
+jQuery.extend( {
+	htmlPrefilter: function( html ) {
+		return html;
+	},
+
+	clone: function( elem, dataAndEvents, deepDataAndEvents ) {
+		var i, l, srcElements, destElements,
+			clone = elem.cloneNode( true ),
+			inPage = isAttached( elem );
+
+		// Fix IE cloning issues
+		if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) &&
+				!jQuery.isXMLDoc( elem ) ) {
+
+			// We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2
+			destElements = getAll( clone );
+			srcElements = getAll( elem );
+
+			for ( i = 0, l = srcElements.length; i < l; i++ ) {
+				fixInput( srcElements[ i ], destElements[ i ] );
+			}
+		}
+
+		// Copy the events from the original to the clone
+		if ( dataAndEvents ) {
+			if ( deepDataAndEvents ) {
+				srcElements = srcElements || getAll( elem );
+				destElements = destElements || getAll( clone );
+
+				for ( i = 0, l = srcElements.length; i < l; i++ ) {
+					cloneCopyEvent( srcElements[ i ], destElements[ i ] );
+				}
+			} else {
+				cloneCopyEvent( elem, clone );
+			}
+		}
+
+		// Preserve script evaluation history
+		destElements = getAll( clone, "script" );
+		if ( destElements.length > 0 ) {
+			setGlobalEval( destElements, !inPage && getAll( elem, "script" ) );
+		}
+
+		// Return the cloned set
+		return clone;
+	},
+
+	cleanData: function( elems ) {
+		var data, elem, type,
+			special = jQuery.event.special,
+			i = 0;
+
+		for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) {
+			if ( acceptData( elem ) ) {
+				if ( ( data = elem[ dataPriv.expando ] ) ) {
+					if ( data.events ) {
+						for ( type in data.events ) {
+							if ( special[ type ] ) {
+								jQuery.event.remove( elem, type );
+
+							// This is a shortcut to avoid jQuery.event.remove's overhead
+							} else {
+								jQuery.removeEvent( elem, type, data.handle );
+							}
+						}
+					}
+
+					// Support: Chrome <=35 - 45+
+					// Assign undefined instead of using delete, see Data#remove
+					elem[ dataPriv.expando ] = undefined;
+				}
+				if ( elem[ dataUser.expando ] ) {
+
+					// Support: Chrome <=35 - 45+
+					// Assign undefined instead of using delete, see Data#remove
+					elem[ dataUser.expando ] = undefined;
+				}
+			}
+		}
+	}
+} );
+
+jQuery.fn.extend( {
+	detach: function( selector ) {
+		return remove( this, selector, true );
+	},
+
+	remove: function( selector ) {
+		return remove( this, selector );
+	},
+
+	text: function( value ) {
+		return access( this, function( value ) {
+			return value === undefined ?
+				jQuery.text( this ) :
+				this.empty().each( function() {
+					if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+						this.textContent = value;
+					}
+				} );
+		}, null, value, arguments.length );
+	},
+
+	append: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.appendChild( elem );
+			}
+		} );
+	},
+
+	prepend: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.insertBefore( elem, target.firstChild );
+			}
+		} );
+	},
+
+	before: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this );
+			}
+		} );
+	},
+
+	after: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this.nextSibling );
+			}
+		} );
+	},
+
+	empty: function() {
+		var elem,
+			i = 0;
+
+		for ( ; ( elem = this[ i ] ) != null; i++ ) {
+			if ( elem.nodeType === 1 ) {
+
+				// Prevent memory leaks
+				jQuery.cleanData( getAll( elem, false ) );
+
+				// Remove any remaining nodes
+				elem.textContent = "";
+			}
+		}
+
+		return this;
+	},
+
+	clone: function( dataAndEvents, deepDataAndEvents ) {
+		dataAndEvents = dataAndEvents == null ? false : dataAndEvents;
+		deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents;
+
+		return this.map( function() {
+			return jQuery.clone( this, dataAndEvents, deepDataAndEvents );
+		} );
+	},
+
+	html: function( value ) {
+		return access( this, function( value ) {
+			var elem = this[ 0 ] || {},
+				i = 0,
+				l = this.length;
+
+			if ( value === undefined && elem.nodeType === 1 ) {
+				return elem.innerHTML;
+			}
+
+			// See if we can take a shortcut and just use innerHTML
+			if ( typeof value === "string" && !rnoInnerhtml.test( value ) &&
+				!wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) {
+
+				value = jQuery.htmlPrefilter( value );
+
+				try {
+					for ( ; i < l; i++ ) {
+						elem = this[ i ] || {};
+
+						// Remove element nodes and prevent memory leaks
+						if ( elem.nodeType === 1 ) {
+							jQuery.cleanData( getAll( elem, false ) );
+							elem.innerHTML = value;
+						}
+					}
+
+					elem = 0;
+
+				// If using innerHTML throws an exception, use the fallback method
+				} catch ( e ) {}
+			}
+
+			if ( elem ) {
+				this.empty().append( value );
+			}
+		}, null, value, arguments.length );
+	},
+
+	replaceWith: function() {
+		var ignored = [];
+
+		// Make the changes, replacing each non-ignored context element with the new content
+		return domManip( this, arguments, function( elem ) {
+			var parent = this.parentNode;
+
+			if ( jQuery.inArray( this, ignored ) < 0 ) {
+				jQuery.cleanData( getAll( this ) );
+				if ( parent ) {
+					parent.replaceChild( elem, this );
+				}
+			}
+
+		// Force callback invocation
+		}, ignored );
+	}
+} );
+
+jQuery.each( {
+	appendTo: "append",
+	prependTo: "prepend",
+	insertBefore: "before",
+	insertAfter: "after",
+	replaceAll: "replaceWith"
+}, function( name, original ) {
+	jQuery.fn[ name ] = function( selector ) {
+		var elems,
+			ret = [],
+			insert = jQuery( selector ),
+			last = insert.length - 1,
+			i = 0;
+
+		for ( ; i <= last; i++ ) {
+			elems = i === last ? this : this.clone( true );
+			jQuery( insert[ i ] )[ original ]( elems );
+
+			// Support: Android <=4.0 only, PhantomJS 1 only
+			// .get() because push.apply(_, arraylike) throws on ancient WebKit
+			push.apply( ret, elems.get() );
+		}
+
+		return this.pushStack( ret );
+	};
+} );
+var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" );
+
+var getStyles = function( elem ) {
+
+		// Support: IE <=11 only, Firefox <=30 (#15098, #14150)
+		// IE throws on elements created in popups
+		// FF meanwhile throws on frame elements through "defaultView.getComputedStyle"
+		var view = elem.ownerDocument.defaultView;
+
+		if ( !view || !view.opener ) {
+			view = window;
+		}
+
+		return view.getComputedStyle( elem );
+	};
+
+var swap = function( elem, options, callback ) {
+	var ret, name,
+		old = {};
+
+	// Remember the old values, and insert the new ones
+	for ( name in options ) {
+		old[ name ] = elem.style[ name ];
+		elem.style[ name ] = options[ name ];
+	}
+
+	ret = callback.call( elem );
+
+	// Revert the old values
+	for ( name in options ) {
+		elem.style[ name ] = old[ name ];
+	}
+
+	return ret;
+};
+
+
+var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" );
+
+
+
+( function() {
+
+	// Executing both pixelPosition & boxSizingReliable tests require only one layout
+	// so they're executed at the same time to save the second computation.
+	function computeStyleTests() {
+
+		// This is a singleton, we need to execute it only once
+		if ( !div ) {
+			return;
+		}
+
+		container.style.cssText = "position:absolute;left:-11111px;width:60px;" +
+			"margin-top:1px;padding:0;border:0";
+		div.style.cssText =
+			"position:relative;display:block;box-sizing:border-box;overflow:scroll;" +
+			"margin:auto;border:1px;padding:1px;" +
+			"width:60%;top:1%";
+		documentElement.appendChild( container ).appendChild( div );
+
+		var divStyle = window.getComputedStyle( div );
+		pixelPositionVal = divStyle.top !== "1%";
+
+		// Support: Android 4.0 - 4.3 only, Firefox <=3 - 44
+		reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12;
+
+		// Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3
+		// Some styles come back with percentage values, even though they shouldn't
+		div.style.right = "60%";
+		pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36;
+
+		// Support: IE 9 - 11 only
+		// Detect misreporting of content dimensions for box-sizing:border-box elements
+		boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36;
+
+		// Support: IE 9 only
+		// Detect overflow:scroll screwiness (gh-3699)
+		// Support: Chrome <=64
+		// Don't get tricked when zoom affects offsetWidth (gh-4029)
+		div.style.position = "absolute";
+		scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12;
+
+		documentElement.removeChild( container );
+
+		// Nullify the div so it wouldn't be stored in the memory and
+		// it will also be a sign that checks already performed
+		div = null;
+	}
+
+	function roundPixelMeasures( measure ) {
+		return Math.round( parseFloat( measure ) );
+	}
+
+	var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal,
+		reliableTrDimensionsVal, reliableMarginLeftVal,
+		container = document.createElement( "div" ),
+		div = document.createElement( "div" );
+
+	// Finish early in limited (non-browser) environments
+	if ( !div.style ) {
+		return;
+	}
+
+	// Support: IE <=9 - 11 only
+	// Style of cloned element affects source element cloned (#8908)
+	div.style.backgroundClip = "content-box";
+	div.cloneNode( true ).style.backgroundClip = "";
+	support.clearCloneStyle = div.style.backgroundClip === "content-box";
+
+	jQuery.extend( support, {
+		boxSizingReliable: function() {
+			computeStyleTests();
+			return boxSizingReliableVal;
+		},
+		pixelBoxStyles: function() {
+			computeStyleTests();
+			return pixelBoxStylesVal;
+		},
+		pixelPosition: function() {
+			computeStyleTests();
+			return pixelPositionVal;
+		},
+		reliableMarginLeft: function() {
+			computeStyleTests();
+			return reliableMarginLeftVal;
+		},
+		scrollboxSize: function() {
+			computeStyleTests();
+			return scrollboxSizeVal;
+		},
+
+		// Support: IE 9 - 11+, Edge 15 - 18+
+		// IE/Edge misreport `getComputedStyle` of table rows with width/height
+		// set in CSS while `offset*` properties report correct values.
+		// Behavior in IE 9 is more subtle than in newer versions & it passes
+		// some versions of this test; make sure not to make it pass there!
+		reliableTrDimensions: function() {
+			var table, tr, trChild, trStyle;
+			if ( reliableTrDimensionsVal == null ) {
+				table = document.createElement( "table" );
+				tr = document.createElement( "tr" );
+				trChild = document.createElement( "div" );
+
+				table.style.cssText = "position:absolute;left:-11111px";
+				tr.style.height = "1px";
+				trChild.style.height = "9px";
+
+				documentElement
+					.appendChild( table )
+					.appendChild( tr )
+					.appendChild( trChild );
+
+				trStyle = window.getComputedStyle( tr );
+				reliableTrDimensionsVal = parseInt( trStyle.height ) > 3;
+
+				documentElement.removeChild( table );
+			}
+			return reliableTrDimensionsVal;
+		}
+	} );
+} )();
+
+
+function curCSS( elem, name, computed ) {
+	var width, minWidth, maxWidth, ret,
+
+		// Support: Firefox 51+
+		// Retrieving style before computed somehow
+		// fixes an issue with getting wrong values
+		// on detached elements
+		style = elem.style;
+
+	computed = computed || getStyles( elem );
+
+	// getPropertyValue is needed for:
+	//   .css('filter') (IE 9 only, #12537)
+	//   .css('--customProperty) (#3144)
+	if ( computed ) {
+		ret = computed.getPropertyValue( name ) || computed[ name ];
+
+		if ( ret === "" && !isAttached( elem ) ) {
+			ret = jQuery.style( elem, name );
+		}
+
+		// A tribute to the "awesome hack by Dean Edwards"
+		// Android Browser returns percentage for some values,
+		// but width seems to be reliably pixels.
+		// This is against the CSSOM draft spec:
+		// https://drafts.csswg.org/cssom/#resolved-values
+		if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) {
+
+			// Remember the original values
+			width = style.width;
+			minWidth = style.minWidth;
+			maxWidth = style.maxWidth;
+
+			// Put in the new values to get a computed value out
+			style.minWidth = style.maxWidth = style.width = ret;
+			ret = computed.width;
+
+			// Revert the changed values
+			style.width = width;
+			style.minWidth = minWidth;
+			style.maxWidth = maxWidth;
+		}
+	}
+
+	return ret !== undefined ?
+
+		// Support: IE <=9 - 11 only
+		// IE returns zIndex value as an integer.
+		ret + "" :
+		ret;
+}
+
+
+function addGetHookIf( conditionFn, hookFn ) {
+
+	// Define the hook, we'll check on the first run if it's really needed.
+	return {
+		get: function() {
+			if ( conditionFn() ) {
+
+				// Hook not needed (or it's not possible to use it due
+				// to missing dependency), remove it.
+				delete this.get;
+				return;
+			}
+
+			// Hook needed; redefine it so that the support test is not executed again.
+			return ( this.get = hookFn ).apply( this, arguments );
+		}
+	};
+}
+
+
+var cssPrefixes = [ "Webkit", "Moz", "ms" ],
+	emptyStyle = document.createElement( "div" ).style,
+	vendorProps = {};
+
+// Return a vendor-prefixed property or undefined
+function vendorPropName( name ) {
+
+	// Check for vendor prefixed names
+	var capName = name[ 0 ].toUpperCase() + name.slice( 1 ),
+		i = cssPrefixes.length;
+
+	while ( i-- ) {
+		name = cssPrefixes[ i ] + capName;
+		if ( name in emptyStyle ) {
+			return name;
+		}
+	}
+}
+
+// Return a potentially-mapped jQuery.cssProps or vendor prefixed property
+function finalPropName( name ) {
+	var final = jQuery.cssProps[ name ] || vendorProps[ name ];
+
+	if ( final ) {
+		return final;
+	}
+	if ( name in emptyStyle ) {
+		return name;
+	}
+	return vendorProps[ name ] = vendorPropName( name ) || name;
+}
+
+
+var
+
+	// Swappable if display is none or starts with table
+	// except "table", "table-cell", or "table-caption"
+	// See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display
+	rdisplayswap = /^(none|table(?!-c[ea]).+)/,
+	rcustomProp = /^--/,
+	cssShow = { position: "absolute", visibility: "hidden", display: "block" },
+	cssNormalTransform = {
+		letterSpacing: "0",
+		fontWeight: "400"
+	};
+
+function setPositiveNumber( _elem, value, subtract ) {
+
+	// Any relative (+/-) values have already been
+	// normalized at this point
+	var matches = rcssNum.exec( value );
+	return matches ?
+
+		// Guard against undefined "subtract", e.g., when used as in cssHooks
+		Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) :
+		value;
+}
+
+function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) {
+	var i = dimension === "width" ? 1 : 0,
+		extra = 0,
+		delta = 0;
+
+	// Adjustment may not be necessary
+	if ( box === ( isBorderBox ? "border" : "content" ) ) {
+		return 0;
+	}
+
+	for ( ; i < 4; i += 2 ) {
+
+		// Both box models exclude margin
+		if ( box === "margin" ) {
+			delta += jQuery.css( elem, box + cssExpand[ i ], true, styles );
+		}
+
+		// If we get here with a content-box, we're seeking "padding" or "border" or "margin"
+		if ( !isBorderBox ) {
+
+			// Add padding
+			delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+
+			// For "border" or "margin", add border
+			if ( box !== "padding" ) {
+				delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+
+			// But still keep track of it otherwise
+			} else {
+				extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+
+		// If we get here with a border-box (content + padding + border), we're seeking "content" or
+		// "padding" or "margin"
+		} else {
+
+			// For "content", subtract padding
+			if ( box === "content" ) {
+				delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+			}
+
+			// For "content" or "padding", subtract border
+			if ( box !== "margin" ) {
+				delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+		}
+	}
+
+	// Account for positive content-box scroll gutter when requested by providing computedVal
+	if ( !isBorderBox && computedVal >= 0 ) {
+
+		// offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border
+		// Assuming integer scroll gutter, subtract the rest and round down
+		delta += Math.max( 0, Math.ceil(
+			elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
+			computedVal -
+			delta -
+			extra -
+			0.5
+
+		// If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter
+		// Use an explicit zero to avoid NaN (gh-3964)
+		) ) || 0;
+	}
+
+	return delta;
+}
+
+function getWidthOrHeight( elem, dimension, extra ) {
+
+	// Start with computed style
+	var styles = getStyles( elem ),
+
+		// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322).
+		// Fake content-box until we know it's needed to know the true value.
+		boxSizingNeeded = !support.boxSizingReliable() || extra,
+		isBorderBox = boxSizingNeeded &&
+			jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+		valueIsBorderBox = isBorderBox,
+
+		val = curCSS( elem, dimension, styles ),
+		offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 );
+
+	// Support: Firefox <=54
+	// Return a confounding non-pixel value or feign ignorance, as appropriate.
+	if ( rnumnonpx.test( val ) ) {
+		if ( !extra ) {
+			return val;
+		}
+		val = "auto";
+	}
+
+
+	// Support: IE 9 - 11 only
+	// Use offsetWidth/offsetHeight for when box sizing is unreliable.
+	// In those cases, the computed value can be trusted to be border-box.
+	if ( ( !support.boxSizingReliable() && isBorderBox ||
+
+		// Support: IE 10 - 11+, Edge 15 - 18+
+		// IE/Edge misreport `getComputedStyle` of table rows with width/height
+		// set in CSS while `offset*` properties report correct values.
+		// Interestingly, in some cases IE 9 doesn't suffer from this issue.
+		!support.reliableTrDimensions() && nodeName( elem, "tr" ) ||
+
+		// Fall back to offsetWidth/offsetHeight when value is "auto"
+		// This happens for inline elements with no explicit setting (gh-3571)
+		val === "auto" ||
+
+		// Support: Android <=4.1 - 4.3 only
+		// Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602)
+		!parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) &&
+
+		// Make sure the element is visible & connected
+		elem.getClientRects().length ) {
+
+		isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box";
+
+		// Where available, offsetWidth/offsetHeight approximate border box dimensions.
+		// Where not available (e.g., SVG), assume unreliable box-sizing and interpret the
+		// retrieved value as a content box dimension.
+		valueIsBorderBox = offsetProp in elem;
+		if ( valueIsBorderBox ) {
+			val = elem[ offsetProp ];
+		}
+	}
+
+	// Normalize "" and auto
+	val = parseFloat( val ) || 0;
+
+	// Adjust for the element's box model
+	return ( val +
+		boxModelAdjustment(
+			elem,
+			dimension,
+			extra || ( isBorderBox ? "border" : "content" ),
+			valueIsBorderBox,
+			styles,
+
+			// Provide the current computed size to request scroll gutter calculation (gh-3589)
+			val
+		)
+	) + "px";
+}
+
+jQuery.extend( {
+
+	// Add in style property hooks for overriding the default
+	// behavior of getting and setting a style property
+	cssHooks: {
+		opacity: {
+			get: function( elem, computed ) {
+				if ( computed ) {
+
+					// We should always get a number back from opacity
+					var ret = curCSS( elem, "opacity" );
+					return ret === "" ? "1" : ret;
+				}
+			}
+		}
+	},
+
+	// Don't automatically add "px" to these possibly-unitless properties
+	cssNumber: {
+		"animationIterationCount": true,
+		"columnCount": true,
+		"fillOpacity": true,
+		"flexGrow": true,
+		"flexShrink": true,
+		"fontWeight": true,
+		"gridArea": true,
+		"gridColumn": true,
+		"gridColumnEnd": true,
+		"gridColumnStart": true,
+		"gridRow": true,
+		"gridRowEnd": true,
+		"gridRowStart": true,
+		"lineHeight": true,
+		"opacity": true,
+		"order": true,
+		"orphans": true,
+		"widows": true,
+		"zIndex": true,
+		"zoom": true
+	},
+
+	// Add in properties whose names you wish to fix before
+	// setting or getting the value
+	cssProps: {},
+
+	// Get and set the style property on a DOM Node
+	style: function( elem, name, value, extra ) {
+
+		// Don't set styles on text and comment nodes
+		if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) {
+			return;
+		}
+
+		// Make sure that we're working with the right name
+		var ret, type, hooks,
+			origName = camelCase( name ),
+			isCustomProp = rcustomProp.test( name ),
+			style = elem.style;
+
+		// Make sure that we're working with the right name. We don't
+		// want to query the value if it is a CSS custom property
+		// since they are user-defined.
+		if ( !isCustomProp ) {
+			name = finalPropName( origName );
+		}
+
+		// Gets hook for the prefixed version, then unprefixed version
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// Check if we're setting a value
+		if ( value !== undefined ) {
+			type = typeof value;
+
+			// Convert "+=" or "-=" to relative numbers (#7345)
+			if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) {
+				value = adjustCSS( elem, name, ret );
+
+				// Fixes bug #9237
+				type = "number";
+			}
+
+			// Make sure that null and NaN values aren't set (#7116)
+			if ( value == null || value !== value ) {
+				return;
+			}
+
+			// If a number was passed in, add the unit (except for certain CSS properties)
+			// The isCustomProp check can be removed in jQuery 4.0 when we only auto-append
+			// "px" to a few hardcoded values.
+			if ( type === "number" && !isCustomProp ) {
+				value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" );
+			}
+
+			// background-* props affect original clone's values
+			if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) {
+				style[ name ] = "inherit";
+			}
+
+			// If a hook was provided, use that value, otherwise just set the specified value
+			if ( !hooks || !( "set" in hooks ) ||
+				( value = hooks.set( elem, value, extra ) ) !== undefined ) {
+
+				if ( isCustomProp ) {
+					style.setProperty( name, value );
+				} else {
+					style[ name ] = value;
+				}
+			}
+
+		} else {
+
+			// If a hook was provided get the non-computed value from there
+			if ( hooks && "get" in hooks &&
+				( ret = hooks.get( elem, false, extra ) ) !== undefined ) {
+
+				return ret;
+			}
+
+			// Otherwise just get the value from the style object
+			return style[ name ];
+		}
+	},
+
+	css: function( elem, name, extra, styles ) {
+		var val, num, hooks,
+			origName = camelCase( name ),
+			isCustomProp = rcustomProp.test( name );
+
+		// Make sure that we're working with the right name. We don't
+		// want to modify the value if it is a CSS custom property
+		// since they are user-defined.
+		if ( !isCustomProp ) {
+			name = finalPropName( origName );
+		}
+
+		// Try prefixed name followed by the unprefixed name
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// If a hook was provided get the computed value from there
+		if ( hooks && "get" in hooks ) {
+			val = hooks.get( elem, true, extra );
+		}
+
+		// Otherwise, if a way to get the computed value exists, use that
+		if ( val === undefined ) {
+			val = curCSS( elem, name, styles );
+		}
+
+		// Convert "normal" to computed value
+		if ( val === "normal" && name in cssNormalTransform ) {
+			val = cssNormalTransform[ name ];
+		}
+
+		// Make numeric if forced or a qualifier was provided and val looks numeric
+		if ( extra === "" || extra ) {
+			num = parseFloat( val );
+			return extra === true || isFinite( num ) ? num || 0 : val;
+		}
+
+		return val;
+	}
+} );
+
+jQuery.each( [ "height", "width" ], function( _i, dimension ) {
+	jQuery.cssHooks[ dimension ] = {
+		get: function( elem, computed, extra ) {
+			if ( computed ) {
+
+				// Certain elements can have dimension info if we invisibly show them
+				// but it must have a current display style that would benefit
+				return rdisplayswap.test( jQuery.css( elem, "display" ) ) &&
+
+					// Support: Safari 8+
+					// Table columns in Safari have non-zero offsetWidth & zero
+					// getBoundingClientRect().width unless display is changed.
+					// Support: IE <=11 only
+					// Running getBoundingClientRect on a disconnected node
+					// in IE throws an error.
+					( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ?
+						swap( elem, cssShow, function() {
+							return getWidthOrHeight( elem, dimension, extra );
+						} ) :
+						getWidthOrHeight( elem, dimension, extra );
+			}
+		},
+
+		set: function( elem, value, extra ) {
+			var matches,
+				styles = getStyles( elem ),
+
+				// Only read styles.position if the test has a chance to fail
+				// to avoid forcing a reflow.
+				scrollboxSizeBuggy = !support.scrollboxSize() &&
+					styles.position === "absolute",
+
+				// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991)
+				boxSizingNeeded = scrollboxSizeBuggy || extra,
+				isBorderBox = boxSizingNeeded &&
+					jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+				subtract = extra ?
+					boxModelAdjustment(
+						elem,
+						dimension,
+						extra,
+						isBorderBox,
+						styles
+					) :
+					0;
+
+			// Account for unreliable border-box dimensions by comparing offset* to computed and
+			// faking a content-box to get border and padding (gh-3699)
+			if ( isBorderBox && scrollboxSizeBuggy ) {
+				subtract -= Math.ceil(
+					elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
+					parseFloat( styles[ dimension ] ) -
+					boxModelAdjustment( elem, dimension, "border", false, styles ) -
+					0.5
+				);
+			}
+
+			// Convert to pixels if value adjustment is needed
+			if ( subtract && ( matches = rcssNum.exec( value ) ) &&
+				( matches[ 3 ] || "px" ) !== "px" ) {
+
+				elem.style[ dimension ] = value;
+				value = jQuery.css( elem, dimension );
+			}
+
+			return setPositiveNumber( elem, value, subtract );
+		}
+	};
+} );
+
+jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft,
+	function( elem, computed ) {
+		if ( computed ) {
+			return ( parseFloat( curCSS( elem, "marginLeft" ) ) ||
+				elem.getBoundingClientRect().left -
+					swap( elem, { marginLeft: 0 }, function() {
+						return elem.getBoundingClientRect().left;
+					} )
+				) + "px";
+		}
+	}
+);
+
+// These hooks are used by animate to expand properties
+jQuery.each( {
+	margin: "",
+	padding: "",
+	border: "Width"
+}, function( prefix, suffix ) {
+	jQuery.cssHooks[ prefix + suffix ] = {
+		expand: function( value ) {
+			var i = 0,
+				expanded = {},
+
+				// Assumes a single number if not a string
+				parts = typeof value === "string" ? value.split( " " ) : [ value ];
+
+			for ( ; i < 4; i++ ) {
+				expanded[ prefix + cssExpand[ i ] + suffix ] =
+					parts[ i ] || parts[ i - 2 ] || parts[ 0 ];
+			}
+
+			return expanded;
+		}
+	};
+
+	if ( prefix !== "margin" ) {
+		jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber;
+	}
+} );
+
+jQuery.fn.extend( {
+	css: function( name, value ) {
+		return access( this, function( elem, name, value ) {
+			var styles, len,
+				map = {},
+				i = 0;
+
+			if ( Array.isArray( name ) ) {
+				styles = getStyles( elem );
+				len = name.length;
+
+				for ( ; i < len; i++ ) {
+					map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles );
+				}
+
+				return map;
+			}
+
+			return value !== undefined ?
+				jQuery.style( elem, name, value ) :
+				jQuery.css( elem, name );
+		}, name, value, arguments.length > 1 );
+	}
+} );
+
+
+function Tween( elem, options, prop, end, easing ) {
+	return new Tween.prototype.init( elem, options, prop, end, easing );
+}
+jQuery.Tween = Tween;
+
+Tween.prototype = {
+	constructor: Tween,
+	init: function( elem, options, prop, end, easing, unit ) {
+		this.elem = elem;
+		this.prop = prop;
+		this.easing = easing || jQuery.easing._default;
+		this.options = options;
+		this.start = this.now = this.cur();
+		this.end = end;
+		this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" );
+	},
+	cur: function() {
+		var hooks = Tween.propHooks[ this.prop ];
+
+		return hooks && hooks.get ?
+			hooks.get( this ) :
+			Tween.propHooks._default.get( this );
+	},
+	run: function( percent ) {
+		var eased,
+			hooks = Tween.propHooks[ this.prop ];
+
+		if ( this.options.duration ) {
+			this.pos = eased = jQuery.easing[ this.easing ](
+				percent, this.options.duration * percent, 0, 1, this.options.duration
+			);
+		} else {
+			this.pos = eased = percent;
+		}
+		this.now = ( this.end - this.start ) * eased + this.start;
+
+		if ( this.options.step ) {
+			this.options.step.call( this.elem, this.now, this );
+		}
+
+		if ( hooks && hooks.set ) {
+			hooks.set( this );
+		} else {
+			Tween.propHooks._default.set( this );
+		}
+		return this;
+	}
+};
+
+Tween.prototype.init.prototype = Tween.prototype;
+
+Tween.propHooks = {
+	_default: {
+		get: function( tween ) {
+			var result;
+
+			// Use a property on the element directly when it is not a DOM element,
+			// or when there is no matching style property that exists.
+			if ( tween.elem.nodeType !== 1 ||
+				tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) {
+				return tween.elem[ tween.prop ];
+			}
+
+			// Passing an empty string as a 3rd parameter to .css will automatically
+			// attempt a parseFloat and fallback to a string if the parse fails.
+			// Simple values such as "10px" are parsed to Float;
+			// complex values such as "rotate(1rad)" are returned as-is.
+			result = jQuery.css( tween.elem, tween.prop, "" );
+
+			// Empty strings, null, undefined and "auto" are converted to 0.
+			return !result || result === "auto" ? 0 : result;
+		},
+		set: function( tween ) {
+
+			// Use step hook for back compat.
+			// Use cssHook if its there.
+			// Use .style if available and use plain properties where available.
+			if ( jQuery.fx.step[ tween.prop ] ) {
+				jQuery.fx.step[ tween.prop ]( tween );
+			} else if ( tween.elem.nodeType === 1 && (
+					jQuery.cssHooks[ tween.prop ] ||
+					tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) {
+				jQuery.style( tween.elem, tween.prop, tween.now + tween.unit );
+			} else {
+				tween.elem[ tween.prop ] = tween.now;
+			}
+		}
+	}
+};
+
+// Support: IE <=9 only
+// Panic based approach to setting things on disconnected nodes
+Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = {
+	set: function( tween ) {
+		if ( tween.elem.nodeType && tween.elem.parentNode ) {
+			tween.elem[ tween.prop ] = tween.now;
+		}
+	}
+};
+
+jQuery.easing = {
+	linear: function( p ) {
+		return p;
+	},
+	swing: function( p ) {
+		return 0.5 - Math.cos( p * Math.PI ) / 2;
+	},
+	_default: "swing"
+};
+
+jQuery.fx = Tween.prototype.init;
+
+// Back compat <1.8 extension point
+jQuery.fx.step = {};
+
+
+
+
+var
+	fxNow, inProgress,
+	rfxtypes = /^(?:toggle|show|hide)$/,
+	rrun = /queueHooks$/;
+
+function schedule() {
+	if ( inProgress ) {
+		if ( document.hidden === false && window.requestAnimationFrame ) {
+			window.requestAnimationFrame( schedule );
+		} else {
+			window.setTimeout( schedule, jQuery.fx.interval );
+		}
+
+		jQuery.fx.tick();
+	}
+}
+
+// Animations created synchronously will run synchronously
+function createFxNow() {
+	window.setTimeout( function() {
+		fxNow = undefined;
+	} );
+	return ( fxNow = Date.now() );
+}
+
+// Generate parameters to create a standard animation
+function genFx( type, includeWidth ) {
+	var which,
+		i = 0,
+		attrs = { height: type };
+
+	// If we include width, step value is 1 to do all cssExpand values,
+	// otherwise step value is 2 to skip over Left and Right
+	includeWidth = includeWidth ? 1 : 0;
+	for ( ; i < 4; i += 2 - includeWidth ) {
+		which = cssExpand[ i ];
+		attrs[ "margin" + which ] = attrs[ "padding" + which ] = type;
+	}
+
+	if ( includeWidth ) {
+		attrs.opacity = attrs.width = type;
+	}
+
+	return attrs;
+}
+
+function createTween( value, prop, animation ) {
+	var tween,
+		collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ),
+		index = 0,
+		length = collection.length;
+	for ( ; index < length; index++ ) {
+		if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) {
+
+			// We're done with this property
+			return tween;
+		}
+	}
+}
+
+function defaultPrefilter( elem, props, opts ) {
+	var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display,
+		isBox = "width" in props || "height" in props,
+		anim = this,
+		orig = {},
+		style = elem.style,
+		hidden = elem.nodeType && isHiddenWithinTree( elem ),
+		dataShow = dataPriv.get( elem, "fxshow" );
+
+	// Queue-skipping animations hijack the fx hooks
+	if ( !opts.queue ) {
+		hooks = jQuery._queueHooks( elem, "fx" );
+		if ( hooks.unqueued == null ) {
+			hooks.unqueued = 0;
+			oldfire = hooks.empty.fire;
+			hooks.empty.fire = function() {
+				if ( !hooks.unqueued ) {
+					oldfire();
+				}
+			};
+		}
+		hooks.unqueued++;
+
+		anim.always( function() {
+
+			// Ensure the complete handler is called before this completes
+			anim.always( function() {
+				hooks.unqueued--;
+				if ( !jQuery.queue( elem, "fx" ).length ) {
+					hooks.empty.fire();
+				}
+			} );
+		} );
+	}
+
+	// Detect show/hide animations
+	for ( prop in props ) {
+		value = props[ prop ];
+		if ( rfxtypes.test( value ) ) {
+			delete props[ prop ];
+			toggle = toggle || value === "toggle";
+			if ( value === ( hidden ? "hide" : "show" ) ) {
+
+				// Pretend to be hidden if this is a "show" and
+				// there is still data from a stopped show/hide
+				if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) {
+					hidden = true;
+
+				// Ignore all other no-op show/hide data
+				} else {
+					continue;
+				}
+			}
+			orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop );
+		}
+	}
+
+	// Bail out if this is a no-op like .hide().hide()
+	propTween = !jQuery.isEmptyObject( props );
+	if ( !propTween && jQuery.isEmptyObject( orig ) ) {
+		return;
+	}
+
+	// Restrict "overflow" and "display" styles during box animations
+	if ( isBox && elem.nodeType === 1 ) {
+
+		// Support: IE <=9 - 11, Edge 12 - 15
+		// Record all 3 overflow attributes because IE does not infer the shorthand
+		// from identically-valued overflowX and overflowY and Edge just mirrors
+		// the overflowX value there.
+		opts.overflow = [ style.overflow, style.overflowX, style.overflowY ];
+
+		// Identify a display type, preferring old show/hide data over the CSS cascade
+		restoreDisplay = dataShow && dataShow.display;
+		if ( restoreDisplay == null ) {
+			restoreDisplay = dataPriv.get( elem, "display" );
+		}
+		display = jQuery.css( elem, "display" );
+		if ( display === "none" ) {
+			if ( restoreDisplay ) {
+				display = restoreDisplay;
+			} else {
+
+				// Get nonempty value(s) by temporarily forcing visibility
+				showHide( [ elem ], true );
+				restoreDisplay = elem.style.display || restoreDisplay;
+				display = jQuery.css( elem, "display" );
+				showHide( [ elem ] );
+			}
+		}
+
+		// Animate inline elements as inline-block
+		if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) {
+			if ( jQuery.css( elem, "float" ) === "none" ) {
+
+				// Restore the original display value at the end of pure show/hide animations
+				if ( !propTween ) {
+					anim.done( function() {
+						style.display = restoreDisplay;
+					} );
+					if ( restoreDisplay == null ) {
+						display = style.display;
+						restoreDisplay = display === "none" ? "" : display;
+					}
+				}
+				style.display = "inline-block";
+			}
+		}
+	}
+
+	if ( opts.overflow ) {
+		style.overflow = "hidden";
+		anim.always( function() {
+			style.overflow = opts.overflow[ 0 ];
+			style.overflowX = opts.overflow[ 1 ];
+			style.overflowY = opts.overflow[ 2 ];
+		} );
+	}
+
+	// Implement show/hide animations
+	propTween = false;
+	for ( prop in orig ) {
+
+		// General show/hide setup for this element animation
+		if ( !propTween ) {
+			if ( dataShow ) {
+				if ( "hidden" in dataShow ) {
+					hidden = dataShow.hidden;
+				}
+			} else {
+				dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } );
+			}
+
+			// Store hidden/visible for toggle so `.stop().toggle()` "reverses"
+			if ( toggle ) {
+				dataShow.hidden = !hidden;
+			}
+
+			// Show elements before animating them
+			if ( hidden ) {
+				showHide( [ elem ], true );
+			}
+
+			/* eslint-disable no-loop-func */
+
+			anim.done( function() {
+
+			/* eslint-enable no-loop-func */
+
+				// The final step of a "hide" animation is actually hiding the element
+				if ( !hidden ) {
+					showHide( [ elem ] );
+				}
+				dataPriv.remove( elem, "fxshow" );
+				for ( prop in orig ) {
+					jQuery.style( elem, prop, orig[ prop ] );
+				}
+			} );
+		}
+
+		// Per-property setup
+		propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim );
+		if ( !( prop in dataShow ) ) {
+			dataShow[ prop ] = propTween.start;
+			if ( hidden ) {
+				propTween.end = propTween.start;
+				propTween.start = 0;
+			}
+		}
+	}
+}
+
+function propFilter( props, specialEasing ) {
+	var index, name, easing, value, hooks;
+
+	// camelCase, specialEasing and expand cssHook pass
+	for ( index in props ) {
+		name = camelCase( index );
+		easing = specialEasing[ name ];
+		value = props[ index ];
+		if ( Array.isArray( value ) ) {
+			easing = value[ 1 ];
+			value = props[ index ] = value[ 0 ];
+		}
+
+		if ( index !== name ) {
+			props[ name ] = value;
+			delete props[ index ];
+		}
+
+		hooks = jQuery.cssHooks[ name ];
+		if ( hooks && "expand" in hooks ) {
+			value = hooks.expand( value );
+			delete props[ name ];
+
+			// Not quite $.extend, this won't overwrite existing keys.
+			// Reusing 'index' because we have the correct "name"
+			for ( index in value ) {
+				if ( !( index in props ) ) {
+					props[ index ] = value[ index ];
+					specialEasing[ index ] = easing;
+				}
+			}
+		} else {
+			specialEasing[ name ] = easing;
+		}
+	}
+}
+
+function Animation( elem, properties, options ) {
+	var result,
+		stopped,
+		index = 0,
+		length = Animation.prefilters.length,
+		deferred = jQuery.Deferred().always( function() {
+
+			// Don't match elem in the :animated selector
+			delete tick.elem;
+		} ),
+		tick = function() {
+			if ( stopped ) {
+				return false;
+			}
+			var currentTime = fxNow || createFxNow(),
+				remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ),
+
+				// Support: Android 2.3 only
+				// Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497)
+				temp = remaining / animation.duration || 0,
+				percent = 1 - temp,
+				index = 0,
+				length = animation.tweens.length;
+
+			for ( ; index < length; index++ ) {
+				animation.tweens[ index ].run( percent );
+			}
+
+			deferred.notifyWith( elem, [ animation, percent, remaining ] );
+
+			// If there's more to do, yield
+			if ( percent < 1 && length ) {
+				return remaining;
+			}
+
+			// If this was an empty animation, synthesize a final progress notification
+			if ( !length ) {
+				deferred.notifyWith( elem, [ animation, 1, 0 ] );
+			}
+
+			// Resolve the animation and report its conclusion
+			deferred.resolveWith( elem, [ animation ] );
+			return false;
+		},
+		animation = deferred.promise( {
+			elem: elem,
+			props: jQuery.extend( {}, properties ),
+			opts: jQuery.extend( true, {
+				specialEasing: {},
+				easing: jQuery.easing._default
+			}, options ),
+			originalProperties: properties,
+			originalOptions: options,
+			startTime: fxNow || createFxNow(),
+			duration: options.duration,
+			tweens: [],
+			createTween: function( prop, end ) {
+				var tween = jQuery.Tween( elem, animation.opts, prop, end,
+						animation.opts.specialEasing[ prop ] || animation.opts.easing );
+				animation.tweens.push( tween );
+				return tween;
+			},
+			stop: function( gotoEnd ) {
+				var index = 0,
+
+					// If we are going to the end, we want to run all the tweens
+					// otherwise we skip this part
+					length = gotoEnd ? animation.tweens.length : 0;
+				if ( stopped ) {
+					return this;
+				}
+				stopped = true;
+				for ( ; index < length; index++ ) {
+					animation.tweens[ index ].run( 1 );
+				}
+
+				// Resolve when we played the last frame; otherwise, reject
+				if ( gotoEnd ) {
+					deferred.notifyWith( elem, [ animation, 1, 0 ] );
+					deferred.resolveWith( elem, [ animation, gotoEnd ] );
+				} else {
+					deferred.rejectWith( elem, [ animation, gotoEnd ] );
+				}
+				return this;
+			}
+		} ),
+		props = animation.props;
+
+	propFilter( props, animation.opts.specialEasing );
+
+	for ( ; index < length; index++ ) {
+		result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts );
+		if ( result ) {
+			if ( isFunction( result.stop ) ) {
+				jQuery._queueHooks( animation.elem, animation.opts.queue ).stop =
+					result.stop.bind( result );
+			}
+			return result;
+		}
+	}
+
+	jQuery.map( props, createTween, animation );
+
+	if ( isFunction( animation.opts.start ) ) {
+		animation.opts.start.call( elem, animation );
+	}
+
+	// Attach callbacks from options
+	animation
+		.progress( animation.opts.progress )
+		.done( animation.opts.done, animation.opts.complete )
+		.fail( animation.opts.fail )
+		.always( animation.opts.always );
+
+	jQuery.fx.timer(
+		jQuery.extend( tick, {
+			elem: elem,
+			anim: animation,
+			queue: animation.opts.queue
+		} )
+	);
+
+	return animation;
+}
+
+jQuery.Animation = jQuery.extend( Animation, {
+
+	tweeners: {
+		"*": [ function( prop, value ) {
+			var tween = this.createTween( prop, value );
+			adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween );
+			return tween;
+		} ]
+	},
+
+	tweener: function( props, callback ) {
+		if ( isFunction( props ) ) {
+			callback = props;
+			props = [ "*" ];
+		} else {
+			props = props.match( rnothtmlwhite );
+		}
+
+		var prop,
+			index = 0,
+			length = props.length;
+
+		for ( ; index < length; index++ ) {
+			prop = props[ index ];
+			Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || [];
+			Animation.tweeners[ prop ].unshift( callback );
+		}
+	},
+
+	prefilters: [ defaultPrefilter ],
+
+	prefilter: function( callback, prepend ) {
+		if ( prepend ) {
+			Animation.prefilters.unshift( callback );
+		} else {
+			Animation.prefilters.push( callback );
+		}
+	}
+} );
+
+jQuery.speed = function( speed, easing, fn ) {
+	var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : {
+		complete: fn || !fn && easing ||
+			isFunction( speed ) && speed,
+		duration: speed,
+		easing: fn && easing || easing && !isFunction( easing ) && easing
+	};
+
+	// Go to the end state if fx are off
+	if ( jQuery.fx.off ) {
+		opt.duration = 0;
+
+	} else {
+		if ( typeof opt.duration !== "number" ) {
+			if ( opt.duration in jQuery.fx.speeds ) {
+				opt.duration = jQuery.fx.speeds[ opt.duration ];
+
+			} else {
+				opt.duration = jQuery.fx.speeds._default;
+			}
+		}
+	}
+
+	// Normalize opt.queue - true/undefined/null -> "fx"
+	if ( opt.queue == null || opt.queue === true ) {
+		opt.queue = "fx";
+	}
+
+	// Queueing
+	opt.old = opt.complete;
+
+	opt.complete = function() {
+		if ( isFunction( opt.old ) ) {
+			opt.old.call( this );
+		}
+
+		if ( opt.queue ) {
+			jQuery.dequeue( this, opt.queue );
+		}
+	};
+
+	return opt;
+};
+
+jQuery.fn.extend( {
+	fadeTo: function( speed, to, easing, callback ) {
+
+		// Show any hidden elements after setting opacity to 0
+		return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show()
+
+			// Animate to the value specified
+			.end().animate( { opacity: to }, speed, easing, callback );
+	},
+	animate: function( prop, speed, easing, callback ) {
+		var empty = jQuery.isEmptyObject( prop ),
+			optall = jQuery.speed( speed, easing, callback ),
+			doAnimation = function() {
+
+				// Operate on a copy of prop so per-property easing won't be lost
+				var anim = Animation( this, jQuery.extend( {}, prop ), optall );
+
+				// Empty animations, or finishing resolves immediately
+				if ( empty || dataPriv.get( this, "finish" ) ) {
+					anim.stop( true );
+				}
+			};
+			doAnimation.finish = doAnimation;
+
+		return empty || optall.queue === false ?
+			this.each( doAnimation ) :
+			this.queue( optall.queue, doAnimation );
+	},
+	stop: function( type, clearQueue, gotoEnd ) {
+		var stopQueue = function( hooks ) {
+			var stop = hooks.stop;
+			delete hooks.stop;
+			stop( gotoEnd );
+		};
+
+		if ( typeof type !== "string" ) {
+			gotoEnd = clearQueue;
+			clearQueue = type;
+			type = undefined;
+		}
+		if ( clearQueue ) {
+			this.queue( type || "fx", [] );
+		}
+
+		return this.each( function() {
+			var dequeue = true,
+				index = type != null && type + "queueHooks",
+				timers = jQuery.timers,
+				data = dataPriv.get( this );
+
+			if ( index ) {
+				if ( data[ index ] && data[ index ].stop ) {
+					stopQueue( data[ index ] );
+				}
+			} else {
+				for ( index in data ) {
+					if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) {
+						stopQueue( data[ index ] );
+					}
+				}
+			}
+
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this &&
+					( type == null || timers[ index ].queue === type ) ) {
+
+					timers[ index ].anim.stop( gotoEnd );
+					dequeue = false;
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Start the next in the queue if the last step wasn't forced.
+			// Timers currently will call their complete callbacks, which
+			// will dequeue but only if they were gotoEnd.
+			if ( dequeue || !gotoEnd ) {
+				jQuery.dequeue( this, type );
+			}
+		} );
+	},
+	finish: function( type ) {
+		if ( type !== false ) {
+			type = type || "fx";
+		}
+		return this.each( function() {
+			var index,
+				data = dataPriv.get( this ),
+				queue = data[ type + "queue" ],
+				hooks = data[ type + "queueHooks" ],
+				timers = jQuery.timers,
+				length = queue ? queue.length : 0;
+
+			// Enable finishing flag on private data
+			data.finish = true;
+
+			// Empty the queue first
+			jQuery.queue( this, type, [] );
+
+			if ( hooks && hooks.stop ) {
+				hooks.stop.call( this, true );
+			}
+
+			// Look for any active animations, and finish them
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this && timers[ index ].queue === type ) {
+					timers[ index ].anim.stop( true );
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Look for any animations in the old queue and finish them
+			for ( index = 0; index < length; index++ ) {
+				if ( queue[ index ] && queue[ index ].finish ) {
+					queue[ index ].finish.call( this );
+				}
+			}
+
+			// Turn off finishing flag
+			delete data.finish;
+		} );
+	}
+} );
+
+jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) {
+	var cssFn = jQuery.fn[ name ];
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return speed == null || typeof speed === "boolean" ?
+			cssFn.apply( this, arguments ) :
+			this.animate( genFx( name, true ), speed, easing, callback );
+	};
+} );
+
+// Generate shortcuts for custom animations
+jQuery.each( {
+	slideDown: genFx( "show" ),
+	slideUp: genFx( "hide" ),
+	slideToggle: genFx( "toggle" ),
+	fadeIn: { opacity: "show" },
+	fadeOut: { opacity: "hide" },
+	fadeToggle: { opacity: "toggle" }
+}, function( name, props ) {
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return this.animate( props, speed, easing, callback );
+	};
+} );
+
+jQuery.timers = [];
+jQuery.fx.tick = function() {
+	var timer,
+		i = 0,
+		timers = jQuery.timers;
+
+	fxNow = Date.now();
+
+	for ( ; i < timers.length; i++ ) {
+		timer = timers[ i ];
+
+		// Run the timer and safely remove it when done (allowing for external removal)
+		if ( !timer() && timers[ i ] === timer ) {
+			timers.splice( i--, 1 );
+		}
+	}
+
+	if ( !timers.length ) {
+		jQuery.fx.stop();
+	}
+	fxNow = undefined;
+};
+
+jQuery.fx.timer = function( timer ) {
+	jQuery.timers.push( timer );
+	jQuery.fx.start();
+};
+
+jQuery.fx.interval = 13;
+jQuery.fx.start = function() {
+	if ( inProgress ) {
+		return;
+	}
+
+	inProgress = true;
+	schedule();
+};
+
+jQuery.fx.stop = function() {
+	inProgress = null;
+};
+
+jQuery.fx.speeds = {
+	slow: 600,
+	fast: 200,
+
+	// Default speed
+	_default: 400
+};
+
+
+// Based off of the plugin by Clint Helfers, with permission.
+// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/
+jQuery.fn.delay = function( time, type ) {
+	time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time;
+	type = type || "fx";
+
+	return this.queue( type, function( next, hooks ) {
+		var timeout = window.setTimeout( next, time );
+		hooks.stop = function() {
+			window.clearTimeout( timeout );
+		};
+	} );
+};
+
+
+( function() {
+	var input = document.createElement( "input" ),
+		select = document.createElement( "select" ),
+		opt = select.appendChild( document.createElement( "option" ) );
+
+	input.type = "checkbox";
+
+	// Support: Android <=4.3 only
+	// Default value for a checkbox should be "on"
+	support.checkOn = input.value !== "";
+
+	// Support: IE <=11 only
+	// Must access selectedIndex to make default options select
+	support.optSelected = opt.selected;
+
+	// Support: IE <=11 only
+	// An input loses its value after becoming a radio
+	input = document.createElement( "input" );
+	input.value = "t";
+	input.type = "radio";
+	support.radioValue = input.value === "t";
+} )();
+
+
+var boolHook,
+	attrHandle = jQuery.expr.attrHandle;
+
+jQuery.fn.extend( {
+	attr: function( name, value ) {
+		return access( this, jQuery.attr, name, value, arguments.length > 1 );
+	},
+
+	removeAttr: function( name ) {
+		return this.each( function() {
+			jQuery.removeAttr( this, name );
+		} );
+	}
+} );
+
+jQuery.extend( {
+	attr: function( elem, name, value ) {
+		var ret, hooks,
+			nType = elem.nodeType;
+
+		// Don't get/set attributes on text, comment and attribute nodes
+		if ( nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		// Fallback to prop when attributes are not supported
+		if ( typeof elem.getAttribute === "undefined" ) {
+			return jQuery.prop( elem, name, value );
+		}
+
+		// Attribute hooks are determined by the lowercase version
+		// Grab necessary hook if one is defined
+		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+			hooks = jQuery.attrHooks[ name.toLowerCase() ] ||
+				( jQuery.expr.match.bool.test( name ) ? boolHook : undefined );
+		}
+
+		if ( value !== undefined ) {
+			if ( value === null ) {
+				jQuery.removeAttr( elem, name );
+				return;
+			}
+
+			if ( hooks && "set" in hooks &&
+				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+				return ret;
+			}
+
+			elem.setAttribute( name, value + "" );
+			return value;
+		}
+
+		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+			return ret;
+		}
+
+		ret = jQuery.find.attr( elem, name );
+
+		// Non-existent attributes return null, we normalize to undefined
+		return ret == null ? undefined : ret;
+	},
+
+	attrHooks: {
+		type: {
+			set: function( elem, value ) {
+				if ( !support.radioValue && value === "radio" &&
+					nodeName( elem, "input" ) ) {
+					var val = elem.value;
+					elem.setAttribute( "type", value );
+					if ( val ) {
+						elem.value = val;
+					}
+					return value;
+				}
+			}
+		}
+	},
+
+	removeAttr: function( elem, value ) {
+		var name,
+			i = 0,
+
+			// Attribute names can contain non-HTML whitespace characters
+			// https://html.spec.whatwg.org/multipage/syntax.html#attributes-2
+			attrNames = value && value.match( rnothtmlwhite );
+
+		if ( attrNames && elem.nodeType === 1 ) {
+			while ( ( name = attrNames[ i++ ] ) ) {
+				elem.removeAttribute( name );
+			}
+		}
+	}
+} );
+
+// Hooks for boolean attributes
+boolHook = {
+	set: function( elem, value, name ) {
+		if ( value === false ) {
+
+			// Remove boolean attributes when set to false
+			jQuery.removeAttr( elem, name );
+		} else {
+			elem.setAttribute( name, name );
+		}
+		return name;
+	}
+};
+
+jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) {
+	var getter = attrHandle[ name ] || jQuery.find.attr;
+
+	attrHandle[ name ] = function( elem, name, isXML ) {
+		var ret, handle,
+			lowercaseName = name.toLowerCase();
+
+		if ( !isXML ) {
+
+			// Avoid an infinite loop by temporarily removing this function from the getter
+			handle = attrHandle[ lowercaseName ];
+			attrHandle[ lowercaseName ] = ret;
+			ret = getter( elem, name, isXML ) != null ?
+				lowercaseName :
+				null;
+			attrHandle[ lowercaseName ] = handle;
+		}
+		return ret;
+	};
+} );
+
+
+
+
+var rfocusable = /^(?:input|select|textarea|button)$/i,
+	rclickable = /^(?:a|area)$/i;
+
+jQuery.fn.extend( {
+	prop: function( name, value ) {
+		return access( this, jQuery.prop, name, value, arguments.length > 1 );
+	},
+
+	removeProp: function( name ) {
+		return this.each( function() {
+			delete this[ jQuery.propFix[ name ] || name ];
+		} );
+	}
+} );
+
+jQuery.extend( {
+	prop: function( elem, name, value ) {
+		var ret, hooks,
+			nType = elem.nodeType;
+
+		// Don't get/set properties on text, comment and attribute nodes
+		if ( nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+
+			// Fix name and attach hooks
+			name = jQuery.propFix[ name ] || name;
+			hooks = jQuery.propHooks[ name ];
+		}
+
+		if ( value !== undefined ) {
+			if ( hooks && "set" in hooks &&
+				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+				return ret;
+			}
+
+			return ( elem[ name ] = value );
+		}
+
+		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+			return ret;
+		}
+
+		return elem[ name ];
+	},
+
+	propHooks: {
+		tabIndex: {
+			get: function( elem ) {
+
+				// Support: IE <=9 - 11 only
+				// elem.tabIndex doesn't always return the
+				// correct value when it hasn't been explicitly set
+				// https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/
+				// Use proper attribute retrieval(#12072)
+				var tabindex = jQuery.find.attr( elem, "tabindex" );
+
+				if ( tabindex ) {
+					return parseInt( tabindex, 10 );
+				}
+
+				if (
+					rfocusable.test( elem.nodeName ) ||
+					rclickable.test( elem.nodeName ) &&
+					elem.href
+				) {
+					return 0;
+				}
+
+				return -1;
+			}
+		}
+	},
+
+	propFix: {
+		"for": "htmlFor",
+		"class": "className"
+	}
+} );
+
+// Support: IE <=11 only
+// Accessing the selectedIndex property
+// forces the browser to respect setting selected
+// on the option
+// The getter ensures a default option is selected
+// when in an optgroup
+// eslint rule "no-unused-expressions" is disabled for this code
+// since it considers such accessions noop
+if ( !support.optSelected ) {
+	jQuery.propHooks.selected = {
+		get: function( elem ) {
+
+			/* eslint no-unused-expressions: "off" */
+
+			var parent = elem.parentNode;
+			if ( parent && parent.parentNode ) {
+				parent.parentNode.selectedIndex;
+			}
+			return null;
+		},
+		set: function( elem ) {
+
+			/* eslint no-unused-expressions: "off" */
+
+			var parent = elem.parentNode;
+			if ( parent ) {
+				parent.selectedIndex;
+
+				if ( parent.parentNode ) {
+					parent.parentNode.selectedIndex;
+				}
+			}
+		}
+	};
+}
+
+jQuery.each( [
+	"tabIndex",
+	"readOnly",
+	"maxLength",
+	"cellSpacing",
+	"cellPadding",
+	"rowSpan",
+	"colSpan",
+	"useMap",
+	"frameBorder",
+	"contentEditable"
+], function() {
+	jQuery.propFix[ this.toLowerCase() ] = this;
+} );
+
+
+
+
+	// Strip and collapse whitespace according to HTML spec
+	// https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace
+	function stripAndCollapse( value ) {
+		var tokens = value.match( rnothtmlwhite ) || [];
+		return tokens.join( " " );
+	}
+
+
+function getClass( elem ) {
+	return elem.getAttribute && elem.getAttribute( "class" ) || "";
+}
+
+function classesToArray( value ) {
+	if ( Array.isArray( value ) ) {
+		return value;
+	}
+	if ( typeof value === "string" ) {
+		return value.match( rnothtmlwhite ) || [];
+	}
+	return [];
+}
+
+jQuery.fn.extend( {
+	addClass: function( value ) {
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
+
+		if ( isFunction( value ) ) {
+			return this.each( function( j ) {
+				jQuery( this ).addClass( value.call( this, j, getClass( this ) ) );
+			} );
+		}
+
+		classes = classesToArray( value );
+
+		if ( classes.length ) {
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+				if ( cur ) {
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
+						if ( cur.indexOf( " " + clazz + " " ) < 0 ) {
+							cur += clazz + " ";
+						}
+					}
+
+					// Only assign if different to avoid unneeded rendering.
+					finalValue = stripAndCollapse( cur );
+					if ( curValue !== finalValue ) {
+						elem.setAttribute( "class", finalValue );
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	removeClass: function( value ) {
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
+
+		if ( isFunction( value ) ) {
+			return this.each( function( j ) {
+				jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) );
+			} );
+		}
+
+		if ( !arguments.length ) {
+			return this.attr( "class", "" );
+		}
+
+		classes = classesToArray( value );
+
+		if ( classes.length ) {
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
+
+				// This expression is here for better compressibility (see addClass)
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+				if ( cur ) {
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
+
+						// Remove *all* instances
+						while ( cur.indexOf( " " + clazz + " " ) > -1 ) {
+							cur = cur.replace( " " + clazz + " ", " " );
+						}
+					}
+
+					// Only assign if different to avoid unneeded rendering.
+					finalValue = stripAndCollapse( cur );
+					if ( curValue !== finalValue ) {
+						elem.setAttribute( "class", finalValue );
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	toggleClass: function( value, stateVal ) {
+		var type = typeof value,
+			isValidValue = type === "string" || Array.isArray( value );
+
+		if ( typeof stateVal === "boolean" && isValidValue ) {
+			return stateVal ? this.addClass( value ) : this.removeClass( value );
+		}
+
+		if ( isFunction( value ) ) {
+			return this.each( function( i ) {
+				jQuery( this ).toggleClass(
+					value.call( this, i, getClass( this ), stateVal ),
+					stateVal
+				);
+			} );
+		}
+
+		return this.each( function() {
+			var className, i, self, classNames;
+
+			if ( isValidValue ) {
+
+				// Toggle individual class names
+				i = 0;
+				self = jQuery( this );
+				classNames = classesToArray( value );
+
+				while ( ( className = classNames[ i++ ] ) ) {
+
+					// Check each className given, space separated list
+					if ( self.hasClass( className ) ) {
+						self.removeClass( className );
+					} else {
+						self.addClass( className );
+					}
+				}
+
+			// Toggle whole class name
+			} else if ( value === undefined || type === "boolean" ) {
+				className = getClass( this );
+				if ( className ) {
+
+					// Store className if set
+					dataPriv.set( this, "__className__", className );
+				}
+
+				// If the element has a class name or if we're passed `false`,
+				// then remove the whole classname (if there was one, the above saved it).
+				// Otherwise bring back whatever was previously saved (if anything),
+				// falling back to the empty string if nothing was stored.
+				if ( this.setAttribute ) {
+					this.setAttribute( "class",
+						className || value === false ?
+						"" :
+						dataPriv.get( this, "__className__" ) || ""
+					);
+				}
+			}
+		} );
+	},
+
+	hasClass: function( selector ) {
+		var className, elem,
+			i = 0;
+
+		className = " " + selector + " ";
+		while ( ( elem = this[ i++ ] ) ) {
+			if ( elem.nodeType === 1 &&
+				( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) {
+					return true;
+			}
+		}
+
+		return false;
+	}
+} );
+
+
+
+
+var rreturn = /\r/g;
+
+jQuery.fn.extend( {
+	val: function( value ) {
+		var hooks, ret, valueIsFunction,
+			elem = this[ 0 ];
+
+		if ( !arguments.length ) {
+			if ( elem ) {
+				hooks = jQuery.valHooks[ elem.type ] ||
+					jQuery.valHooks[ elem.nodeName.toLowerCase() ];
+
+				if ( hooks &&
+					"get" in hooks &&
+					( ret = hooks.get( elem, "value" ) ) !== undefined
+				) {
+					return ret;
+				}
+
+				ret = elem.value;
+
+				// Handle most common string cases
+				if ( typeof ret === "string" ) {
+					return ret.replace( rreturn, "" );
+				}
+
+				// Handle cases where value is null/undef or number
+				return ret == null ? "" : ret;
+			}
+
+			return;
+		}
+
+		valueIsFunction = isFunction( value );
+
+		return this.each( function( i ) {
+			var val;
+
+			if ( this.nodeType !== 1 ) {
+				return;
+			}
+
+			if ( valueIsFunction ) {
+				val = value.call( this, i, jQuery( this ).val() );
+			} else {
+				val = value;
+			}
+
+			// Treat null/undefined as ""; convert numbers to string
+			if ( val == null ) {
+				val = "";
+
+			} else if ( typeof val === "number" ) {
+				val += "";
+
+			} else if ( Array.isArray( val ) ) {
+				val = jQuery.map( val, function( value ) {
+					return value == null ? "" : value + "";
+				} );
+			}
+
+			hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ];
+
+			// If set returns undefined, fall back to normal setting
+			if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) {
+				this.value = val;
+			}
+		} );
+	}
+} );
+
+jQuery.extend( {
+	valHooks: {
+		option: {
+			get: function( elem ) {
+
+				var val = jQuery.find.attr( elem, "value" );
+				return val != null ?
+					val :
+
+					// Support: IE <=10 - 11 only
+					// option.text throws exceptions (#14686, #14858)
+					// Strip and collapse whitespace
+					// https://html.spec.whatwg.org/#strip-and-collapse-whitespace
+					stripAndCollapse( jQuery.text( elem ) );
+			}
+		},
+		select: {
+			get: function( elem ) {
+				var value, option, i,
+					options = elem.options,
+					index = elem.selectedIndex,
+					one = elem.type === "select-one",
+					values = one ? null : [],
+					max = one ? index + 1 : options.length;
+
+				if ( index < 0 ) {
+					i = max;
+
+				} else {
+					i = one ? index : 0;
+				}
+
+				// Loop through all the selected options
+				for ( ; i < max; i++ ) {
+					option = options[ i ];
+
+					// Support: IE <=9 only
+					// IE8-9 doesn't update selected after form reset (#2551)
+					if ( ( option.selected || i === index ) &&
+
+							// Don't return options that are disabled or in a disabled optgroup
+							!option.disabled &&
+							( !option.parentNode.disabled ||
+								!nodeName( option.parentNode, "optgroup" ) ) ) {
+
+						// Get the specific value for the option
+						value = jQuery( option ).val();
+
+						// We don't need an array for one selects
+						if ( one ) {
+							return value;
+						}
+
+						// Multi-Selects return an array
+						values.push( value );
+					}
+				}
+
+				return values;
+			},
+
+			set: function( elem, value ) {
+				var optionSet, option,
+					options = elem.options,
+					values = jQuery.makeArray( value ),
+					i = options.length;
+
+				while ( i-- ) {
+					option = options[ i ];
+
+					/* eslint-disable no-cond-assign */
+
+					if ( option.selected =
+						jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1
+					) {
+						optionSet = true;
+					}
+
+					/* eslint-enable no-cond-assign */
+				}
+
+				// Force browsers to behave consistently when non-matching value is set
+				if ( !optionSet ) {
+					elem.selectedIndex = -1;
+				}
+				return values;
+			}
+		}
+	}
+} );
+
+// Radios and checkboxes getter/setter
+jQuery.each( [ "radio", "checkbox" ], function() {
+	jQuery.valHooks[ this ] = {
+		set: function( elem, value ) {
+			if ( Array.isArray( value ) ) {
+				return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 );
+			}
+		}
+	};
+	if ( !support.checkOn ) {
+		jQuery.valHooks[ this ].get = function( elem ) {
+			return elem.getAttribute( "value" ) === null ? "on" : elem.value;
+		};
+	}
+} );
+
+
+
+
+// Return jQuery for attributes-only inclusion
+
+
+support.focusin = "onfocusin" in window;
+
+
+var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/,
+	stopPropagationCallback = function( e ) {
+		e.stopPropagation();
+	};
+
+jQuery.extend( jQuery.event, {
+
+	trigger: function( event, data, elem, onlyHandlers ) {
+
+		var i, cur, tmp, bubbleType, ontype, handle, special, lastElement,
+			eventPath = [ elem || document ],
+			type = hasOwn.call( event, "type" ) ? event.type : event,
+			namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : [];
+
+		cur = lastElement = tmp = elem = elem || document;
+
+		// Don't do events on text and comment nodes
+		if ( elem.nodeType === 3 || elem.nodeType === 8 ) {
+			return;
+		}
+
+		// focus/blur morphs to focusin/out; ensure we're not firing them right now
+		if ( rfocusMorph.test( type + jQuery.event.triggered ) ) {
+			return;
+		}
+
+		if ( type.indexOf( "." ) > -1 ) {
+
+			// Namespaced trigger; create a regexp to match event type in handle()
+			namespaces = type.split( "." );
+			type = namespaces.shift();
+			namespaces.sort();
+		}
+		ontype = type.indexOf( ":" ) < 0 && "on" + type;
+
+		// Caller can pass in a jQuery.Event object, Object, or just an event type string
+		event = event[ jQuery.expando ] ?
+			event :
+			new jQuery.Event( type, typeof event === "object" && event );
+
+		// Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true)
+		event.isTrigger = onlyHandlers ? 2 : 3;
+		event.namespace = namespaces.join( "." );
+		event.rnamespace = event.namespace ?
+			new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) :
+			null;
+
+		// Clean up the event in case it is being reused
+		event.result = undefined;
+		if ( !event.target ) {
+			event.target = elem;
+		}
+
+		// Clone any incoming data and prepend the event, creating the handler arg list
+		data = data == null ?
+			[ event ] :
+			jQuery.makeArray( data, [ event ] );
+
+		// Allow special events to draw outside the lines
+		special = jQuery.event.special[ type ] || {};
+		if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) {
+			return;
+		}
+
+		// Determine event propagation path in advance, per W3C events spec (#9951)
+		// Bubble up to document, then to window; watch for a global ownerDocument var (#9724)
+		if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) {
+
+			bubbleType = special.delegateType || type;
+			if ( !rfocusMorph.test( bubbleType + type ) ) {
+				cur = cur.parentNode;
+			}
+			for ( ; cur; cur = cur.parentNode ) {
+				eventPath.push( cur );
+				tmp = cur;
+			}
+
+			// Only add window if we got to document (e.g., not plain obj or detached DOM)
+			if ( tmp === ( elem.ownerDocument || document ) ) {
+				eventPath.push( tmp.defaultView || tmp.parentWindow || window );
+			}
+		}
+
+		// Fire handlers on the event path
+		i = 0;
+		while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) {
+			lastElement = cur;
+			event.type = i > 1 ?
+				bubbleType :
+				special.bindType || type;
+
+			// jQuery handler
+			handle = (
+					dataPriv.get( cur, "events" ) || Object.create( null )
+				)[ event.type ] &&
+				dataPriv.get( cur, "handle" );
+			if ( handle ) {
+				handle.apply( cur, data );
+			}
+
+			// Native handler
+			handle = ontype && cur[ ontype ];
+			if ( handle && handle.apply && acceptData( cur ) ) {
+				event.result = handle.apply( cur, data );
+				if ( event.result === false ) {
+					event.preventDefault();
+				}
+			}
+		}
+		event.type = type;
+
+		// If nobody prevented the default action, do it now
+		if ( !onlyHandlers && !event.isDefaultPrevented() ) {
+
+			if ( ( !special._default ||
+				special._default.apply( eventPath.pop(), data ) === false ) &&
+				acceptData( elem ) ) {
+
+				// Call a native DOM method on the target with the same name as the event.
+				// Don't do default actions on window, that's where global variables be (#6170)
+				if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) {
+
+					// Don't re-trigger an onFOO event when we call its FOO() method
+					tmp = elem[ ontype ];
+
+					if ( tmp ) {
+						elem[ ontype ] = null;
+					}
+
+					// Prevent re-triggering of the same event, since we already bubbled it above
+					jQuery.event.triggered = type;
+
+					if ( event.isPropagationStopped() ) {
+						lastElement.addEventListener( type, stopPropagationCallback );
+					}
+
+					elem[ type ]();
+
+					if ( event.isPropagationStopped() ) {
+						lastElement.removeEventListener( type, stopPropagationCallback );
+					}
+
+					jQuery.event.triggered = undefined;
+
+					if ( tmp ) {
+						elem[ ontype ] = tmp;
+					}
+				}
+			}
+		}
+
+		return event.result;
+	},
+
+	// Piggyback on a donor event to simulate a different one
+	// Used only for `focus(in | out)` events
+	simulate: function( type, elem, event ) {
+		var e = jQuery.extend(
+			new jQuery.Event(),
+			event,
+			{
+				type: type,
+				isSimulated: true
+			}
+		);
+
+		jQuery.event.trigger( e, null, elem );
+	}
+
+} );
+
+jQuery.fn.extend( {
+
+	trigger: function( type, data ) {
+		return this.each( function() {
+			jQuery.event.trigger( type, data, this );
+		} );
+	},
+	triggerHandler: function( type, data ) {
+		var elem = this[ 0 ];
+		if ( elem ) {
+			return jQuery.event.trigger( type, data, elem, true );
+		}
+	}
+} );
+
+
+// Support: Firefox <=44
+// Firefox doesn't have focus(in | out) events
+// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787
+//
+// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1
+// focus(in | out) events fire after focus & blur events,
+// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order
+// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857
+if ( !support.focusin ) {
+	jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) {
+
+		// Attach a single capturing handler on the document while someone wants focusin/focusout
+		var handler = function( event ) {
+			jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) );
+		};
+
+		jQuery.event.special[ fix ] = {
+			setup: function() {
+
+				// Handle: regular nodes (via `this.ownerDocument`), window
+				// (via `this.document`) & document (via `this`).
+				var doc = this.ownerDocument || this.document || this,
+					attaches = dataPriv.access( doc, fix );
+
+				if ( !attaches ) {
+					doc.addEventListener( orig, handler, true );
+				}
+				dataPriv.access( doc, fix, ( attaches || 0 ) + 1 );
+			},
+			teardown: function() {
+				var doc = this.ownerDocument || this.document || this,
+					attaches = dataPriv.access( doc, fix ) - 1;
+
+				if ( !attaches ) {
+					doc.removeEventListener( orig, handler, true );
+					dataPriv.remove( doc, fix );
+
+				} else {
+					dataPriv.access( doc, fix, attaches );
+				}
+			}
+		};
+	} );
+}
+var location = window.location;
+
+var nonce = { guid: Date.now() };
+
+var rquery = ( /\?/ );
+
+
+
+// Cross-browser xml parsing
+jQuery.parseXML = function( data ) {
+	var xml;
+	if ( !data || typeof data !== "string" ) {
+		return null;
+	}
+
+	// Support: IE 9 - 11 only
+	// IE throws on parseFromString with invalid input.
+	try {
+		xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" );
+	} catch ( e ) {
+		xml = undefined;
+	}
+
+	if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) {
+		jQuery.error( "Invalid XML: " + data );
+	}
+	return xml;
+};
+
+
+var
+	rbracket = /\[\]$/,
+	rCRLF = /\r?\n/g,
+	rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i,
+	rsubmittable = /^(?:input|select|textarea|keygen)/i;
+
+function buildParams( prefix, obj, traditional, add ) {
+	var name;
+
+	if ( Array.isArray( obj ) ) {
+
+		// Serialize array item.
+		jQuery.each( obj, function( i, v ) {
+			if ( traditional || rbracket.test( prefix ) ) {
+
+				// Treat each array item as a scalar.
+				add( prefix, v );
+
+			} else {
+
+				// Item is non-scalar (array or object), encode its numeric index.
+				buildParams(
+					prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]",
+					v,
+					traditional,
+					add
+				);
+			}
+		} );
+
+	} else if ( !traditional && toType( obj ) === "object" ) {
+
+		// Serialize object item.
+		for ( name in obj ) {
+			buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add );
+		}
+
+	} else {
+
+		// Serialize scalar item.
+		add( prefix, obj );
+	}
+}
+
+// Serialize an array of form elements or a set of
+// key/values into a query string
+jQuery.param = function( a, traditional ) {
+	var prefix,
+		s = [],
+		add = function( key, valueOrFunction ) {
+
+			// If value is a function, invoke it and use its return value
+			var value = isFunction( valueOrFunction ) ?
+				valueOrFunction() :
+				valueOrFunction;
+
+			s[ s.length ] = encodeURIComponent( key ) + "=" +
+				encodeURIComponent( value == null ? "" : value );
+		};
+
+	if ( a == null ) {
+		return "";
+	}
+
+	// If an array was passed in, assume that it is an array of form elements.
+	if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) {
+
+		// Serialize the form elements
+		jQuery.each( a, function() {
+			add( this.name, this.value );
+		} );
+
+	} else {
+
+		// If traditional, encode the "old" way (the way 1.3.2 or older
+		// did it), otherwise encode params recursively.
+		for ( prefix in a ) {
+			buildParams( prefix, a[ prefix ], traditional, add );
+		}
+	}
+
+	// Return the resulting serialization
+	return s.join( "&" );
+};
+
+jQuery.fn.extend( {
+	serialize: function() {
+		return jQuery.param( this.serializeArray() );
+	},
+	serializeArray: function() {
+		return this.map( function() {
+
+			// Can add propHook for "elements" to filter or add form elements
+			var elements = jQuery.prop( this, "elements" );
+			return elements ? jQuery.makeArray( elements ) : this;
+		} )
+		.filter( function() {
+			var type = this.type;
+
+			// Use .is( ":disabled" ) so that fieldset[disabled] works
+			return this.name && !jQuery( this ).is( ":disabled" ) &&
+				rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) &&
+				( this.checked || !rcheckableType.test( type ) );
+		} )
+		.map( function( _i, elem ) {
+			var val = jQuery( this ).val();
+
+			if ( val == null ) {
+				return null;
+			}
+
+			if ( Array.isArray( val ) ) {
+				return jQuery.map( val, function( val ) {
+					return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+				} );
+			}
+
+			return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+		} ).get();
+	}
+} );
+
+
+var
+	r20 = /%20/g,
+	rhash = /#.*$/,
+	rantiCache = /([?&])_=[^&]*/,
+	rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg,
+
+	// #7653, #8125, #8152: local protocol detection
+	rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/,
+	rnoContent = /^(?:GET|HEAD)$/,
+	rprotocol = /^\/\//,
+
+	/* Prefilters
+	 * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example)
+	 * 2) These are called:
+	 *    - BEFORE asking for a transport
+	 *    - AFTER param serialization (s.data is a string if s.processData is true)
+	 * 3) key is the dataType
+	 * 4) the catchall symbol "*" can be used
+	 * 5) execution will start with transport dataType and THEN continue down to "*" if needed
+	 */
+	prefilters = {},
+
+	/* Transports bindings
+	 * 1) key is the dataType
+	 * 2) the catchall symbol "*" can be used
+	 * 3) selection will start with transport dataType and THEN go to "*" if needed
+	 */
+	transports = {},
+
+	// Avoid comment-prolog char sequence (#10098); must appease lint and evade compression
+	allTypes = "*/".concat( "*" ),
+
+	// Anchor tag for parsing the document origin
+	originAnchor = document.createElement( "a" );
+	originAnchor.href = location.href;
+
+// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport
+function addToPrefiltersOrTransports( structure ) {
+
+	// dataTypeExpression is optional and defaults to "*"
+	return function( dataTypeExpression, func ) {
+
+		if ( typeof dataTypeExpression !== "string" ) {
+			func = dataTypeExpression;
+			dataTypeExpression = "*";
+		}
+
+		var dataType,
+			i = 0,
+			dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || [];
+
+		if ( isFunction( func ) ) {
+
+			// For each dataType in the dataTypeExpression
+			while ( ( dataType = dataTypes[ i++ ] ) ) {
+
+				// Prepend if requested
+				if ( dataType[ 0 ] === "+" ) {
+					dataType = dataType.slice( 1 ) || "*";
+					( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func );
+
+				// Otherwise append
+				} else {
+					( structure[ dataType ] = structure[ dataType ] || [] ).push( func );
+				}
+			}
+		}
+	};
+}
+
+// Base inspection function for prefilters and transports
+function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) {
+
+	var inspected = {},
+		seekingTransport = ( structure === transports );
+
+	function inspect( dataType ) {
+		var selected;
+		inspected[ dataType ] = true;
+		jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) {
+			var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR );
+			if ( typeof dataTypeOrTransport === "string" &&
+				!seekingTransport && !inspected[ dataTypeOrTransport ] ) {
+
+				options.dataTypes.unshift( dataTypeOrTransport );
+				inspect( dataTypeOrTransport );
+				return false;
+			} else if ( seekingTransport ) {
+				return !( selected = dataTypeOrTransport );
+			}
+		} );
+		return selected;
+	}
+
+	return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" );
+}
+
+// A special extend for ajax options
+// that takes "flat" options (not to be deep extended)
+// Fixes #9887
+function ajaxExtend( target, src ) {
+	var key, deep,
+		flatOptions = jQuery.ajaxSettings.flatOptions || {};
+
+	for ( key in src ) {
+		if ( src[ key ] !== undefined ) {
+			( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ];
+		}
+	}
+	if ( deep ) {
+		jQuery.extend( true, target, deep );
+	}
+
+	return target;
+}
+
+/* Handles responses to an ajax request:
+ * - finds the right dataType (mediates between content-type and expected dataType)
+ * - returns the corresponding response
+ */
+function ajaxHandleResponses( s, jqXHR, responses ) {
+
+	var ct, type, finalDataType, firstDataType,
+		contents = s.contents,
+		dataTypes = s.dataTypes;
+
+	// Remove auto dataType and get content-type in the process
+	while ( dataTypes[ 0 ] === "*" ) {
+		dataTypes.shift();
+		if ( ct === undefined ) {
+			ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" );
+		}
+	}
+
+	// Check if we're dealing with a known content-type
+	if ( ct ) {
+		for ( type in contents ) {
+			if ( contents[ type ] && contents[ type ].test( ct ) ) {
+				dataTypes.unshift( type );
+				break;
+			}
+		}
+	}
+
+	// Check to see if we have a response for the expected dataType
+	if ( dataTypes[ 0 ] in responses ) {
+		finalDataType = dataTypes[ 0 ];
+	} else {
+
+		// Try convertible dataTypes
+		for ( type in responses ) {
+			if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) {
+				finalDataType = type;
+				break;
+			}
+			if ( !firstDataType ) {
+				firstDataType = type;
+			}
+		}
+
+		// Or just use first one
+		finalDataType = finalDataType || firstDataType;
+	}
+
+	// If we found a dataType
+	// We add the dataType to the list if needed
+	// and return the corresponding response
+	if ( finalDataType ) {
+		if ( finalDataType !== dataTypes[ 0 ] ) {
+			dataTypes.unshift( finalDataType );
+		}
+		return responses[ finalDataType ];
+	}
+}
+
+/* Chain conversions given the request and the original response
+ * Also sets the responseXXX fields on the jqXHR instance
+ */
+function ajaxConvert( s, response, jqXHR, isSuccess ) {
+	var conv2, current, conv, tmp, prev,
+		converters = {},
+
+		// Work with a copy of dataTypes in case we need to modify it for conversion
+		dataTypes = s.dataTypes.slice();
+
+	// Create converters map with lowercased keys
+	if ( dataTypes[ 1 ] ) {
+		for ( conv in s.converters ) {
+			converters[ conv.toLowerCase() ] = s.converters[ conv ];
+		}
+	}
+
+	current = dataTypes.shift();
+
+	// Convert to each sequential dataType
+	while ( current ) {
+
+		if ( s.responseFields[ current ] ) {
+			jqXHR[ s.responseFields[ current ] ] = response;
+		}
+
+		// Apply the dataFilter if provided
+		if ( !prev && isSuccess && s.dataFilter ) {
+			response = s.dataFilter( response, s.dataType );
+		}
+
+		prev = current;
+		current = dataTypes.shift();
+
+		if ( current ) {
+
+			// There's only work to do if current dataType is non-auto
+			if ( current === "*" ) {
+
+				current = prev;
+
+			// Convert response if prev dataType is non-auto and differs from current
+			} else if ( prev !== "*" && prev !== current ) {
+
+				// Seek a direct converter
+				conv = converters[ prev + " " + current ] || converters[ "* " + current ];
+
+				// If none found, seek a pair
+				if ( !conv ) {
+					for ( conv2 in converters ) {
+
+						// If conv2 outputs current
+						tmp = conv2.split( " " );
+						if ( tmp[ 1 ] === current ) {
+
+							// If prev can be converted to accepted input
+							conv = converters[ prev + " " + tmp[ 0 ] ] ||
+								converters[ "* " + tmp[ 0 ] ];
+							if ( conv ) {
+
+								// Condense equivalence converters
+								if ( conv === true ) {
+									conv = converters[ conv2 ];
+
+								// Otherwise, insert the intermediate dataType
+								} else if ( converters[ conv2 ] !== true ) {
+									current = tmp[ 0 ];
+									dataTypes.unshift( tmp[ 1 ] );
+								}
+								break;
+							}
+						}
+					}
+				}
+
+				// Apply converter (if not an equivalence)
+				if ( conv !== true ) {
+
+					// Unless errors are allowed to bubble, catch and return them
+					if ( conv && s.throws ) {
+						response = conv( response );
+					} else {
+						try {
+							response = conv( response );
+						} catch ( e ) {
+							return {
+								state: "parsererror",
+								error: conv ? e : "No conversion from " + prev + " to " + current
+							};
+						}
+					}
+				}
+			}
+		}
+	}
+
+	return { state: "success", data: response };
+}
+
+jQuery.extend( {
+
+	// Counter for holding the number of active queries
+	active: 0,
+
+	// Last-Modified header cache for next request
+	lastModified: {},
+	etag: {},
+
+	ajaxSettings: {
+		url: location.href,
+		type: "GET",
+		isLocal: rlocalProtocol.test( location.protocol ),
+		global: true,
+		processData: true,
+		async: true,
+		contentType: "application/x-www-form-urlencoded; charset=UTF-8",
+
+		/*
+		timeout: 0,
+		data: null,
+		dataType: null,
+		username: null,
+		password: null,
+		cache: null,
+		throws: false,
+		traditional: false,
+		headers: {},
+		*/
+
+		accepts: {
+			"*": allTypes,
+			text: "text/plain",
+			html: "text/html",
+			xml: "application/xml, text/xml",
+			json: "application/json, text/javascript"
+		},
+
+		contents: {
+			xml: /\bxml\b/,
+			html: /\bhtml/,
+			json: /\bjson\b/
+		},
+
+		responseFields: {
+			xml: "responseXML",
+			text: "responseText",
+			json: "responseJSON"
+		},
+
+		// Data converters
+		// Keys separate source (or catchall "*") and destination types with a single space
+		converters: {
+
+			// Convert anything to text
+			"* text": String,
+
+			// Text to html (true = no transformation)
+			"text html": true,
+
+			// Evaluate text as a json expression
+			"text json": JSON.parse,
+
+			// Parse text as xml
+			"text xml": jQuery.parseXML
+		},
+
+		// For options that shouldn't be deep extended:
+		// you can add your own custom options here if
+		// and when you create one that shouldn't be
+		// deep extended (see ajaxExtend)
+		flatOptions: {
+			url: true,
+			context: true
+		}
+	},
+
+	// Creates a full fledged settings object into target
+	// with both ajaxSettings and settings fields.
+	// If target is omitted, writes into ajaxSettings.
+	ajaxSetup: function( target, settings ) {
+		return settings ?
+
+			// Building a settings object
+			ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) :
+
+			// Extending ajaxSettings
+			ajaxExtend( jQuery.ajaxSettings, target );
+	},
+
+	ajaxPrefilter: addToPrefiltersOrTransports( prefilters ),
+	ajaxTransport: addToPrefiltersOrTransports( transports ),
+
+	// Main method
+	ajax: function( url, options ) {
+
+		// If url is an object, simulate pre-1.5 signature
+		if ( typeof url === "object" ) {
+			options = url;
+			url = undefined;
+		}
+
+		// Force options to be an object
+		options = options || {};
+
+		var transport,
+
+			// URL without anti-cache param
+			cacheURL,
+
+			// Response headers
+			responseHeadersString,
+			responseHeaders,
+
+			// timeout handle
+			timeoutTimer,
+
+			// Url cleanup var
+			urlAnchor,
+
+			// Request state (becomes false upon send and true upon completion)
+			completed,
+
+			// To know if global events are to be dispatched
+			fireGlobals,
+
+			// Loop variable
+			i,
+
+			// uncached part of the url
+			uncached,
+
+			// Create the final options object
+			s = jQuery.ajaxSetup( {}, options ),
+
+			// Callbacks context
+			callbackContext = s.context || s,
+
+			// Context for global events is callbackContext if it is a DOM node or jQuery collection
+			globalEventContext = s.context &&
+				( callbackContext.nodeType || callbackContext.jquery ) ?
+					jQuery( callbackContext ) :
+					jQuery.event,
+
+			// Deferreds
+			deferred = jQuery.Deferred(),
+			completeDeferred = jQuery.Callbacks( "once memory" ),
+
+			// Status-dependent callbacks
+			statusCode = s.statusCode || {},
+
+			// Headers (they are sent all at once)
+			requestHeaders = {},
+			requestHeadersNames = {},
+
+			// Default abort message
+			strAbort = "canceled",
+
+			// Fake xhr
+			jqXHR = {
+				readyState: 0,
+
+				// Builds headers hashtable if needed
+				getResponseHeader: function( key ) {
+					var match;
+					if ( completed ) {
+						if ( !responseHeaders ) {
+							responseHeaders = {};
+							while ( ( match = rheaders.exec( responseHeadersString ) ) ) {
+								responseHeaders[ match[ 1 ].toLowerCase() + " " ] =
+									( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] )
+										.concat( match[ 2 ] );
+							}
+						}
+						match = responseHeaders[ key.toLowerCase() + " " ];
+					}
+					return match == null ? null : match.join( ", " );
+				},
+
+				// Raw string
+				getAllResponseHeaders: function() {
+					return completed ? responseHeadersString : null;
+				},
+
+				// Caches the header
+				setRequestHeader: function( name, value ) {
+					if ( completed == null ) {
+						name = requestHeadersNames[ name.toLowerCase() ] =
+							requestHeadersNames[ name.toLowerCase() ] || name;
+						requestHeaders[ name ] = value;
+					}
+					return this;
+				},
+
+				// Overrides response content-type header
+				overrideMimeType: function( type ) {
+					if ( completed == null ) {
+						s.mimeType = type;
+					}
+					return this;
+				},
+
+				// Status-dependent callbacks
+				statusCode: function( map ) {
+					var code;
+					if ( map ) {
+						if ( completed ) {
+
+							// Execute the appropriate callbacks
+							jqXHR.always( map[ jqXHR.status ] );
+						} else {
+
+							// Lazy-add the new callbacks in a way that preserves old ones
+							for ( code in map ) {
+								statusCode[ code ] = [ statusCode[ code ], map[ code ] ];
+							}
+						}
+					}
+					return this;
+				},
+
+				// Cancel the request
+				abort: function( statusText ) {
+					var finalText = statusText || strAbort;
+					if ( transport ) {
+						transport.abort( finalText );
+					}
+					done( 0, finalText );
+					return this;
+				}
+			};
+
+		// Attach deferreds
+		deferred.promise( jqXHR );
+
+		// Add protocol if not provided (prefilters might expect it)
+		// Handle falsy url in the settings object (#10093: consistency with old signature)
+		// We also use the url parameter if available
+		s.url = ( ( url || s.url || location.href ) + "" )
+			.replace( rprotocol, location.protocol + "//" );
+
+		// Alias method option to type as per ticket #12004
+		s.type = options.method || options.type || s.method || s.type;
+
+		// Extract dataTypes list
+		s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ];
+
+		// A cross-domain request is in order when the origin doesn't match the current origin.
+		if ( s.crossDomain == null ) {
+			urlAnchor = document.createElement( "a" );
+
+			// Support: IE <=8 - 11, Edge 12 - 15
+			// IE throws exception on accessing the href property if url is malformed,
+			// e.g. http://example.com:80x/
+			try {
+				urlAnchor.href = s.url;
+
+				// Support: IE <=8 - 11 only
+				// Anchor's host property isn't correctly set when s.url is relative
+				urlAnchor.href = urlAnchor.href;
+				s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !==
+					urlAnchor.protocol + "//" + urlAnchor.host;
+			} catch ( e ) {
+
+				// If there is an error parsing the URL, assume it is crossDomain,
+				// it can be rejected by the transport if it is invalid
+				s.crossDomain = true;
+			}
+		}
+
+		// Convert data if not already a string
+		if ( s.data && s.processData && typeof s.data !== "string" ) {
+			s.data = jQuery.param( s.data, s.traditional );
+		}
+
+		// Apply prefilters
+		inspectPrefiltersOrTransports( prefilters, s, options, jqXHR );
+
+		// If request was aborted inside a prefilter, stop there
+		if ( completed ) {
+			return jqXHR;
+		}
+
+		// We can fire global events as of now if asked to
+		// Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118)
+		fireGlobals = jQuery.event && s.global;
+
+		// Watch for a new set of requests
+		if ( fireGlobals && jQuery.active++ === 0 ) {
+			jQuery.event.trigger( "ajaxStart" );
+		}
+
+		// Uppercase the type
+		s.type = s.type.toUpperCase();
+
+		// Determine if request has content
+		s.hasContent = !rnoContent.test( s.type );
+
+		// Save the URL in case we're toying with the If-Modified-Since
+		// and/or If-None-Match header later on
+		// Remove hash to simplify url manipulation
+		cacheURL = s.url.replace( rhash, "" );
+
+		// More options handling for requests with no content
+		if ( !s.hasContent ) {
+
+			// Remember the hash so we can put it back
+			uncached = s.url.slice( cacheURL.length );
+
+			// If data is available and should be processed, append data to url
+			if ( s.data && ( s.processData || typeof s.data === "string" ) ) {
+				cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data;
+
+				// #9682: remove data so that it's not used in an eventual retry
+				delete s.data;
+			}
+
+			// Add or update anti-cache param if needed
+			if ( s.cache === false ) {
+				cacheURL = cacheURL.replace( rantiCache, "$1" );
+				uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) +
+					uncached;
+			}
+
+			// Put hash and anti-cache on the URL that will be requested (gh-1732)
+			s.url = cacheURL + uncached;
+
+		// Change '%20' to '+' if this is encoded form body content (gh-2658)
+		} else if ( s.data && s.processData &&
+			( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) {
+			s.data = s.data.replace( r20, "+" );
+		}
+
+		// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+		if ( s.ifModified ) {
+			if ( jQuery.lastModified[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] );
+			}
+			if ( jQuery.etag[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] );
+			}
+		}
+
+		// Set the correct header, if data is being sent
+		if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) {
+			jqXHR.setRequestHeader( "Content-Type", s.contentType );
+		}
+
+		// Set the Accepts header for the server, depending on the dataType
+		jqXHR.setRequestHeader(
+			"Accept",
+			s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ?
+				s.accepts[ s.dataTypes[ 0 ] ] +
+					( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) :
+				s.accepts[ "*" ]
+		);
+
+		// Check for headers option
+		for ( i in s.headers ) {
+			jqXHR.setRequestHeader( i, s.headers[ i ] );
+		}
+
+		// Allow custom headers/mimetypes and early abort
+		if ( s.beforeSend &&
+			( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) {
+
+			// Abort if not done already and return
+			return jqXHR.abort();
+		}
+
+		// Aborting is no longer a cancellation
+		strAbort = "abort";
+
+		// Install callbacks on deferreds
+		completeDeferred.add( s.complete );
+		jqXHR.done( s.success );
+		jqXHR.fail( s.error );
+
+		// Get transport
+		transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR );
+
+		// If no transport, we auto-abort
+		if ( !transport ) {
+			done( -1, "No Transport" );
+		} else {
+			jqXHR.readyState = 1;
+
+			// Send global event
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] );
+			}
+
+			// If request was aborted inside ajaxSend, stop there
+			if ( completed ) {
+				return jqXHR;
+			}
+
+			// Timeout
+			if ( s.async && s.timeout > 0 ) {
+				timeoutTimer = window.setTimeout( function() {
+					jqXHR.abort( "timeout" );
+				}, s.timeout );
+			}
+
+			try {
+				completed = false;
+				transport.send( requestHeaders, done );
+			} catch ( e ) {
+
+				// Rethrow post-completion exceptions
+				if ( completed ) {
+					throw e;
+				}
+
+				// Propagate others as results
+				done( -1, e );
+			}
+		}
+
+		// Callback for when everything is done
+		function done( status, nativeStatusText, responses, headers ) {
+			var isSuccess, success, error, response, modified,
+				statusText = nativeStatusText;
+
+			// Ignore repeat invocations
+			if ( completed ) {
+				return;
+			}
+
+			completed = true;
+
+			// Clear timeout if it exists
+			if ( timeoutTimer ) {
+				window.clearTimeout( timeoutTimer );
+			}
+
+			// Dereference transport for early garbage collection
+			// (no matter how long the jqXHR object will be used)
+			transport = undefined;
+
+			// Cache response headers
+			responseHeadersString = headers || "";
+
+			// Set readyState
+			jqXHR.readyState = status > 0 ? 4 : 0;
+
+			// Determine if successful
+			isSuccess = status >= 200 && status < 300 || status === 304;
+
+			// Get response data
+			if ( responses ) {
+				response = ajaxHandleResponses( s, jqXHR, responses );
+			}
+
+			// Use a noop converter for missing script
+			if ( !isSuccess && jQuery.inArray( "script", s.dataTypes ) > -1 ) {
+				s.converters[ "text script" ] = function() {};
+			}
+
+			// Convert no matter what (that way responseXXX fields are always set)
+			response = ajaxConvert( s, response, jqXHR, isSuccess );
+
+			// If successful, handle type chaining
+			if ( isSuccess ) {
+
+				// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+				if ( s.ifModified ) {
+					modified = jqXHR.getResponseHeader( "Last-Modified" );
+					if ( modified ) {
+						jQuery.lastModified[ cacheURL ] = modified;
+					}
+					modified = jqXHR.getResponseHeader( "etag" );
+					if ( modified ) {
+						jQuery.etag[ cacheURL ] = modified;
+					}
+				}
+
+				// if no content
+				if ( status === 204 || s.type === "HEAD" ) {
+					statusText = "nocontent";
+
+				// if not modified
+				} else if ( status === 304 ) {
+					statusText = "notmodified";
+
+				// If we have data, let's convert it
+				} else {
+					statusText = response.state;
+					success = response.data;
+					error = response.error;
+					isSuccess = !error;
+				}
+			} else {
+
+				// Extract error from statusText and normalize for non-aborts
+				error = statusText;
+				if ( status || !statusText ) {
+					statusText = "error";
+					if ( status < 0 ) {
+						status = 0;
+					}
+				}
+			}
+
+			// Set data for the fake xhr object
+			jqXHR.status = status;
+			jqXHR.statusText = ( nativeStatusText || statusText ) + "";
+
+			// Success/Error
+			if ( isSuccess ) {
+				deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] );
+			} else {
+				deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] );
+			}
+
+			// Status-dependent callbacks
+			jqXHR.statusCode( statusCode );
+			statusCode = undefined;
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError",
+					[ jqXHR, s, isSuccess ? success : error ] );
+			}
+
+			// Complete
+			completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] );
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] );
+
+				// Handle the global AJAX counter
+				if ( !( --jQuery.active ) ) {
+					jQuery.event.trigger( "ajaxStop" );
+				}
+			}
+		}
+
+		return jqXHR;
+	},
+
+	getJSON: function( url, data, callback ) {
+		return jQuery.get( url, data, callback, "json" );
+	},
+
+	getScript: function( url, callback ) {
+		return jQuery.get( url, undefined, callback, "script" );
+	}
+} );
+
+jQuery.each( [ "get", "post" ], function( _i, method ) {
+	jQuery[ method ] = function( url, data, callback, type ) {
+
+		// Shift arguments if data argument was omitted
+		if ( isFunction( data ) ) {
+			type = type || callback;
+			callback = data;
+			data = undefined;
+		}
+
+		// The url can be an options object (which then must have .url)
+		return jQuery.ajax( jQuery.extend( {
+			url: url,
+			type: method,
+			dataType: type,
+			data: data,
+			success: callback
+		}, jQuery.isPlainObject( url ) && url ) );
+	};
+} );
+
+jQuery.ajaxPrefilter( function( s ) {
+	var i;
+	for ( i in s.headers ) {
+		if ( i.toLowerCase() === "content-type" ) {
+			s.contentType = s.headers[ i ] || "";
+		}
+	}
+} );
+
+
+jQuery._evalUrl = function( url, options, doc ) {
+	return jQuery.ajax( {
+		url: url,
+
+		// Make this explicit, since user can override this through ajaxSetup (#11264)
+		type: "GET",
+		dataType: "script",
+		cache: true,
+		async: false,
+		global: false,
+
+		// Only evaluate the response if it is successful (gh-4126)
+		// dataFilter is not invoked for failure responses, so using it instead
+		// of the default converter is kludgy but it works.
+		converters: {
+			"text script": function() {}
+		},
+		dataFilter: function( response ) {
+			jQuery.globalEval( response, options, doc );
+		}
+	} );
+};
+
+
+jQuery.fn.extend( {
+	wrapAll: function( html ) {
+		var wrap;
+
+		if ( this[ 0 ] ) {
+			if ( isFunction( html ) ) {
+				html = html.call( this[ 0 ] );
+			}
+
+			// The elements to wrap the target around
+			wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true );
+
+			if ( this[ 0 ].parentNode ) {
+				wrap.insertBefore( this[ 0 ] );
+			}
+
+			wrap.map( function() {
+				var elem = this;
+
+				while ( elem.firstElementChild ) {
+					elem = elem.firstElementChild;
+				}
+
+				return elem;
+			} ).append( this );
+		}
+
+		return this;
+	},
+
+	wrapInner: function( html ) {
+		if ( isFunction( html ) ) {
+			return this.each( function( i ) {
+				jQuery( this ).wrapInner( html.call( this, i ) );
+			} );
+		}
+
+		return this.each( function() {
+			var self = jQuery( this ),
+				contents = self.contents();
+
+			if ( contents.length ) {
+				contents.wrapAll( html );
+
+			} else {
+				self.append( html );
+			}
+		} );
+	},
+
+	wrap: function( html ) {
+		var htmlIsFunction = isFunction( html );
+
+		return this.each( function( i ) {
+			jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html );
+		} );
+	},
+
+	unwrap: function( selector ) {
+		this.parent( selector ).not( "body" ).each( function() {
+			jQuery( this ).replaceWith( this.childNodes );
+		} );
+		return this;
+	}
+} );
+
+
+jQuery.expr.pseudos.hidden = function( elem ) {
+	return !jQuery.expr.pseudos.visible( elem );
+};
+jQuery.expr.pseudos.visible = function( elem ) {
+	return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length );
+};
+
+
+
+
+jQuery.ajaxSettings.xhr = function() {
+	try {
+		return new window.XMLHttpRequest();
+	} catch ( e ) {}
+};
+
+var xhrSuccessStatus = {
+
+		// File protocol always yields status code 0, assume 200
+		0: 200,
+
+		// Support: IE <=9 only
+		// #1450: sometimes IE returns 1223 when it should be 204
+		1223: 204
+	},
+	xhrSupported = jQuery.ajaxSettings.xhr();
+
+support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported );
+support.ajax = xhrSupported = !!xhrSupported;
+
+jQuery.ajaxTransport( function( options ) {
+	var callback, errorCallback;
+
+	// Cross domain only allowed if supported through XMLHttpRequest
+	if ( support.cors || xhrSupported && !options.crossDomain ) {
+		return {
+			send: function( headers, complete ) {
+				var i,
+					xhr = options.xhr();
+
+				xhr.open(
+					options.type,
+					options.url,
+					options.async,
+					options.username,
+					options.password
+				);
+
+				// Apply custom fields if provided
+				if ( options.xhrFields ) {
+					for ( i in options.xhrFields ) {
+						xhr[ i ] = options.xhrFields[ i ];
+					}
+				}
+
+				// Override mime type if needed
+				if ( options.mimeType && xhr.overrideMimeType ) {
+					xhr.overrideMimeType( options.mimeType );
+				}
+
+				// X-Requested-With header
+				// For cross-domain requests, seeing as conditions for a preflight are
+				// akin to a jigsaw puzzle, we simply never set it to be sure.
+				// (it can always be set on a per-request basis or even using ajaxSetup)
+				// For same-domain requests, won't change header if already provided.
+				if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) {
+					headers[ "X-Requested-With" ] = "XMLHttpRequest";
+				}
+
+				// Set headers
+				for ( i in headers ) {
+					xhr.setRequestHeader( i, headers[ i ] );
+				}
+
+				// Callback
+				callback = function( type ) {
+					return function() {
+						if ( callback ) {
+							callback = errorCallback = xhr.onload =
+								xhr.onerror = xhr.onabort = xhr.ontimeout =
+									xhr.onreadystatechange = null;
+
+							if ( type === "abort" ) {
+								xhr.abort();
+							} else if ( type === "error" ) {
+
+								// Support: IE <=9 only
+								// On a manual native abort, IE9 throws
+								// errors on any property access that is not readyState
+								if ( typeof xhr.status !== "number" ) {
+									complete( 0, "error" );
+								} else {
+									complete(
+
+										// File: protocol always yields status 0; see #8605, #14207
+										xhr.status,
+										xhr.statusText
+									);
+								}
+							} else {
+								complete(
+									xhrSuccessStatus[ xhr.status ] || xhr.status,
+									xhr.statusText,
+
+									// Support: IE <=9 only
+									// IE9 has no XHR2 but throws on binary (trac-11426)
+									// For XHR2 non-text, let the caller handle it (gh-2498)
+									( xhr.responseType || "text" ) !== "text"  ||
+									typeof xhr.responseText !== "string" ?
+										{ binary: xhr.response } :
+										{ text: xhr.responseText },
+									xhr.getAllResponseHeaders()
+								);
+							}
+						}
+					};
+				};
+
+				// Listen to events
+				xhr.onload = callback();
+				errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" );
+
+				// Support: IE 9 only
+				// Use onreadystatechange to replace onabort
+				// to handle uncaught aborts
+				if ( xhr.onabort !== undefined ) {
+					xhr.onabort = errorCallback;
+				} else {
+					xhr.onreadystatechange = function() {
+
+						// Check readyState before timeout as it changes
+						if ( xhr.readyState === 4 ) {
+
+							// Allow onerror to be called first,
+							// but that will not handle a native abort
+							// Also, save errorCallback to a variable
+							// as xhr.onerror cannot be accessed
+							window.setTimeout( function() {
+								if ( callback ) {
+									errorCallback();
+								}
+							} );
+						}
+					};
+				}
+
+				// Create the abort callback
+				callback = callback( "abort" );
+
+				try {
+
+					// Do send the request (this may raise an exception)
+					xhr.send( options.hasContent && options.data || null );
+				} catch ( e ) {
+
+					// #14683: Only rethrow if this hasn't been notified as an error yet
+					if ( callback ) {
+						throw e;
+					}
+				}
+			},
+
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+} );
+
+
+
+
+// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432)
+jQuery.ajaxPrefilter( function( s ) {
+	if ( s.crossDomain ) {
+		s.contents.script = false;
+	}
+} );
+
+// Install script dataType
+jQuery.ajaxSetup( {
+	accepts: {
+		script: "text/javascript, application/javascript, " +
+			"application/ecmascript, application/x-ecmascript"
+	},
+	contents: {
+		script: /\b(?:java|ecma)script\b/
+	},
+	converters: {
+		"text script": function( text ) {
+			jQuery.globalEval( text );
+			return text;
+		}
+	}
+} );
+
+// Handle cache's special case and crossDomain
+jQuery.ajaxPrefilter( "script", function( s ) {
+	if ( s.cache === undefined ) {
+		s.cache = false;
+	}
+	if ( s.crossDomain ) {
+		s.type = "GET";
+	}
+} );
+
+// Bind script tag hack transport
+jQuery.ajaxTransport( "script", function( s ) {
+
+	// This transport only deals with cross domain or forced-by-attrs requests
+	if ( s.crossDomain || s.scriptAttrs ) {
+		var script, callback;
+		return {
+			send: function( _, complete ) {
+				script = jQuery( "<script>" )
+					.attr( s.scriptAttrs || {} )
+					.prop( { charset: s.scriptCharset, src: s.url } )
+					.on( "load error", callback = function( evt ) {
+						script.remove();
+						callback = null;
+						if ( evt ) {
+							complete( evt.type === "error" ? 404 : 200, evt.type );
+						}
+					} );
+
+				// Use native DOM manipulation to avoid our domManip AJAX trickery
+				document.head.appendChild( script[ 0 ] );
+			},
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+} );
+
+
+
+
+var oldCallbacks = [],
+	rjsonp = /(=)\?(?=&|$)|\?\?/;
+
+// Default jsonp settings
+jQuery.ajaxSetup( {
+	jsonp: "callback",
+	jsonpCallback: function() {
+		var callback = oldCallbacks.pop() || ( jQuery.expando + "_" + ( nonce.guid++ ) );
+		this[ callback ] = true;
+		return callback;
+	}
+} );
+
+// Detect, normalize options and install callbacks for jsonp requests
+jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) {
+
+	var callbackName, overwritten, responseContainer,
+		jsonProp = s.jsonp !== false && ( rjsonp.test( s.url ) ?
+			"url" :
+			typeof s.data === "string" &&
+				( s.contentType || "" )
+					.indexOf( "application/x-www-form-urlencoded" ) === 0 &&
+				rjsonp.test( s.data ) && "data"
+		);
+
+	// Handle iff the expected data type is "jsonp" or we have a parameter to set
+	if ( jsonProp || s.dataTypes[ 0 ] === "jsonp" ) {
+
+		// Get callback name, remembering preexisting value associated with it
+		callbackName = s.jsonpCallback = isFunction( s.jsonpCallback ) ?
+			s.jsonpCallback() :
+			s.jsonpCallback;
+
+		// Insert callback into url or form data
+		if ( jsonProp ) {
+			s[ jsonProp ] = s[ jsonProp ].replace( rjsonp, "$1" + callbackName );
+		} else if ( s.jsonp !== false ) {
+			s.url += ( rquery.test( s.url ) ? "&" : "?" ) + s.jsonp + "=" + callbackName;
+		}
+
+		// Use data converter to retrieve json after script execution
+		s.converters[ "script json" ] = function() {
+			if ( !responseContainer ) {
+				jQuery.error( callbackName + " was not called" );
+			}
+			return responseContainer[ 0 ];
+		};
+
+		// Force json dataType
+		s.dataTypes[ 0 ] = "json";
+
+		// Install callback
+		overwritten = window[ callbackName ];
+		window[ callbackName ] = function() {
+			responseContainer = arguments;
+		};
+
+		// Clean-up function (fires after converters)
+		jqXHR.always( function() {
+
+			// If previous value didn't exist - remove it
+			if ( overwritten === undefined ) {
+				jQuery( window ).removeProp( callbackName );
+
+			// Otherwise restore preexisting value
+			} else {
+				window[ callbackName ] = overwritten;
+			}
+
+			// Save back as free
+			if ( s[ callbackName ] ) {
+
+				// Make sure that re-using the options doesn't screw things around
+				s.jsonpCallback = originalSettings.jsonpCallback;
+
+				// Save the callback name for future use
+				oldCallbacks.push( callbackName );
+			}
+
+			// Call if it was a function and we have a response
+			if ( responseContainer && isFunction( overwritten ) ) {
+				overwritten( responseContainer[ 0 ] );
+			}
+
+			responseContainer = overwritten = undefined;
+		} );
+
+		// Delegate to script
+		return "script";
+	}
+} );
+
+
+
+
+// Support: Safari 8 only
+// In Safari 8 documents created via document.implementation.createHTMLDocument
+// collapse sibling forms: the second one becomes a child of the first one.
+// Because of that, this security measure has to be disabled in Safari 8.
+// https://bugs.webkit.org/show_bug.cgi?id=137337
+support.createHTMLDocument = ( function() {
+	var body = document.implementation.createHTMLDocument( "" ).body;
+	body.innerHTML = "<form></form><form></form>";
+	return body.childNodes.length === 2;
+} )();
+
+
+// Argument "data" should be string of html
+// context (optional): If specified, the fragment will be created in this context,
+// defaults to document
+// keepScripts (optional): If true, will include scripts passed in the html string
+jQuery.parseHTML = function( data, context, keepScripts ) {
+	if ( typeof data !== "string" ) {
+		return [];
+	}
+	if ( typeof context === "boolean" ) {
+		keepScripts = context;
+		context = false;
+	}
+
+	var base, parsed, scripts;
+
+	if ( !context ) {
+
+		// Stop scripts or inline event handlers from being executed immediately
+		// by using document.implementation
+		if ( support.createHTMLDocument ) {
+			context = document.implementation.createHTMLDocument( "" );
+
+			// Set the base href for the created document
+			// so any parsed elements with URLs
+			// are based on the document's URL (gh-2965)
+			base = context.createElement( "base" );
+			base.href = document.location.href;
+			context.head.appendChild( base );
+		} else {
+			context = document;
+		}
+	}
+
+	parsed = rsingleTag.exec( data );
+	scripts = !keepScripts && [];
+
+	// Single tag
+	if ( parsed ) {
+		return [ context.createElement( parsed[ 1 ] ) ];
+	}
+
+	parsed = buildFragment( [ data ], context, scripts );
+
+	if ( scripts && scripts.length ) {
+		jQuery( scripts ).remove();
+	}
+
+	return jQuery.merge( [], parsed.childNodes );
+};
+
+
+/**
+ * Load a url into a page
+ */
+jQuery.fn.load = function( url, params, callback ) {
+	var selector, type, response,
+		self = this,
+		off = url.indexOf( " " );
+
+	if ( off > -1 ) {
+		selector = stripAndCollapse( url.slice( off ) );
+		url = url.slice( 0, off );
+	}
+
+	// If it's a function
+	if ( isFunction( params ) ) {
+
+		// We assume that it's the callback
+		callback = params;
+		params = undefined;
+
+	// Otherwise, build a param string
+	} else if ( params && typeof params === "object" ) {
+		type = "POST";
+	}
+
+	// If we have elements to modify, make the request
+	if ( self.length > 0 ) {
+		jQuery.ajax( {
+			url: url,
+
+			// If "type" variable is undefined, then "GET" method will be used.
+			// Make value of this field explicit since
+			// user can override it through ajaxSetup method
+			type: type || "GET",
+			dataType: "html",
+			data: params
+		} ).done( function( responseText ) {
+
+			// Save response for use in complete callback
+			response = arguments;
+
+			self.html( selector ?
+
+				// If a selector was specified, locate the right elements in a dummy div
+				// Exclude scripts to avoid IE 'Permission Denied' errors
+				jQuery( "<div>" ).append( jQuery.parseHTML( responseText ) ).find( selector ) :
+
+				// Otherwise use the full result
+				responseText );
+
+		// If the request succeeds, this function gets "data", "status", "jqXHR"
+		// but they are ignored because response was set above.
+		// If it fails, this function gets "jqXHR", "status", "error"
+		} ).always( callback && function( jqXHR, status ) {
+			self.each( function() {
+				callback.apply( this, response || [ jqXHR.responseText, status, jqXHR ] );
+			} );
+		} );
+	}
+
+	return this;
+};
+
+
+
+
+jQuery.expr.pseudos.animated = function( elem ) {
+	return jQuery.grep( jQuery.timers, function( fn ) {
+		return elem === fn.elem;
+	} ).length;
+};
+
+
+
+
+jQuery.offset = {
+	setOffset: function( elem, options, i ) {
+		var curPosition, curLeft, curCSSTop, curTop, curOffset, curCSSLeft, calculatePosition,
+			position = jQuery.css( elem, "position" ),
+			curElem = jQuery( elem ),
+			props = {};
+
+		// Set position first, in-case top/left are set even on static elem
+		if ( position === "static" ) {
+			elem.style.position = "relative";
+		}
+
+		curOffset = curElem.offset();
+		curCSSTop = jQuery.css( elem, "top" );
+		curCSSLeft = jQuery.css( elem, "left" );
+		calculatePosition = ( position === "absolute" || position === "fixed" ) &&
+			( curCSSTop + curCSSLeft ).indexOf( "auto" ) > -1;
+
+		// Need to be able to calculate position if either
+		// top or left is auto and position is either absolute or fixed
+		if ( calculatePosition ) {
+			curPosition = curElem.position();
+			curTop = curPosition.top;
+			curLeft = curPosition.left;
+
+		} else {
+			curTop = parseFloat( curCSSTop ) || 0;
+			curLeft = parseFloat( curCSSLeft ) || 0;
+		}
+
+		if ( isFunction( options ) ) {
+
+			// Use jQuery.extend here to allow modification of coordinates argument (gh-1848)
+			options = options.call( elem, i, jQuery.extend( {}, curOffset ) );
+		}
+
+		if ( options.top != null ) {
+			props.top = ( options.top - curOffset.top ) + curTop;
+		}
+		if ( options.left != null ) {
+			props.left = ( options.left - curOffset.left ) + curLeft;
+		}
+
+		if ( "using" in options ) {
+			options.using.call( elem, props );
+
+		} else {
+			if ( typeof props.top === "number" ) {
+				props.top += "px";
+			}
+			if ( typeof props.left === "number" ) {
+				props.left += "px";
+			}
+			curElem.css( props );
+		}
+	}
+};
+
+jQuery.fn.extend( {
+
+	// offset() relates an element's border box to the document origin
+	offset: function( options ) {
+
+		// Preserve chaining for setter
+		if ( arguments.length ) {
+			return options === undefined ?
+				this :
+				this.each( function( i ) {
+					jQuery.offset.setOffset( this, options, i );
+				} );
+		}
+
+		var rect, win,
+			elem = this[ 0 ];
+
+		if ( !elem ) {
+			return;
+		}
+
+		// Return zeros for disconnected and hidden (display: none) elements (gh-2310)
+		// Support: IE <=11 only
+		// Running getBoundingClientRect on a
+		// disconnected node in IE throws an error
+		if ( !elem.getClientRects().length ) {
+			return { top: 0, left: 0 };
+		}
+
+		// Get document-relative position by adding viewport scroll to viewport-relative gBCR
+		rect = elem.getBoundingClientRect();
+		win = elem.ownerDocument.defaultView;
+		return {
+			top: rect.top + win.pageYOffset,
+			left: rect.left + win.pageXOffset
+		};
+	},
+
+	// position() relates an element's margin box to its offset parent's padding box
+	// This corresponds to the behavior of CSS absolute positioning
+	position: function() {
+		if ( !this[ 0 ] ) {
+			return;
+		}
+
+		var offsetParent, offset, doc,
+			elem = this[ 0 ],
+			parentOffset = { top: 0, left: 0 };
+
+		// position:fixed elements are offset from the viewport, which itself always has zero offset
+		if ( jQuery.css( elem, "position" ) === "fixed" ) {
+
+			// Assume position:fixed implies availability of getBoundingClientRect
+			offset = elem.getBoundingClientRect();
+
+		} else {
+			offset = this.offset();
+
+			// Account for the *real* offset parent, which can be the document or its root element
+			// when a statically positioned element is identified
+			doc = elem.ownerDocument;
+			offsetParent = elem.offsetParent || doc.documentElement;
+			while ( offsetParent &&
+				( offsetParent === doc.body || offsetParent === doc.documentElement ) &&
+				jQuery.css( offsetParent, "position" ) === "static" ) {
+
+				offsetParent = offsetParent.parentNode;
+			}
+			if ( offsetParent && offsetParent !== elem && offsetParent.nodeType === 1 ) {
+
+				// Incorporate borders into its offset, since they are outside its content origin
+				parentOffset = jQuery( offsetParent ).offset();
+				parentOffset.top += jQuery.css( offsetParent, "borderTopWidth", true );
+				parentOffset.left += jQuery.css( offsetParent, "borderLeftWidth", true );
+			}
+		}
+
+		// Subtract parent offsets and element margins
+		return {
+			top: offset.top - parentOffset.top - jQuery.css( elem, "marginTop", true ),
+			left: offset.left - parentOffset.left - jQuery.css( elem, "marginLeft", true )
+		};
+	},
+
+	// This method will return documentElement in the following cases:
+	// 1) For the element inside the iframe without offsetParent, this method will return
+	//    documentElement of the parent window
+	// 2) For the hidden or detached element
+	// 3) For body or html element, i.e. in case of the html node - it will return itself
+	//
+	// but those exceptions were never presented as a real life use-cases
+	// and might be considered as more preferable results.
+	//
+	// This logic, however, is not guaranteed and can change at any point in the future
+	offsetParent: function() {
+		return this.map( function() {
+			var offsetParent = this.offsetParent;
+
+			while ( offsetParent && jQuery.css( offsetParent, "position" ) === "static" ) {
+				offsetParent = offsetParent.offsetParent;
+			}
+
+			return offsetParent || documentElement;
+		} );
+	}
+} );
+
+// Create scrollLeft and scrollTop methods
+jQuery.each( { scrollLeft: "pageXOffset", scrollTop: "pageYOffset" }, function( method, prop ) {
+	var top = "pageYOffset" === prop;
+
+	jQuery.fn[ method ] = function( val ) {
+		return access( this, function( elem, method, val ) {
+
+			// Coalesce documents and windows
+			var win;
+			if ( isWindow( elem ) ) {
+				win = elem;
+			} else if ( elem.nodeType === 9 ) {
+				win = elem.defaultView;
+			}
+
+			if ( val === undefined ) {
+				return win ? win[ prop ] : elem[ method ];
+			}
+
+			if ( win ) {
+				win.scrollTo(
+					!top ? val : win.pageXOffset,
+					top ? val : win.pageYOffset
+				);
+
+			} else {
+				elem[ method ] = val;
+			}
+		}, method, val, arguments.length );
+	};
+} );
+
+// Support: Safari <=7 - 9.1, Chrome <=37 - 49
+// Add the top/left cssHooks using jQuery.fn.position
+// Webkit bug: https://bugs.webkit.org/show_bug.cgi?id=29084
+// Blink bug: https://bugs.chromium.org/p/chromium/issues/detail?id=589347
+// getComputedStyle returns percent when specified for top/left/bottom/right;
+// rather than make the css module depend on the offset module, just check for it here
+jQuery.each( [ "top", "left" ], function( _i, prop ) {
+	jQuery.cssHooks[ prop ] = addGetHookIf( support.pixelPosition,
+		function( elem, computed ) {
+			if ( computed ) {
+				computed = curCSS( elem, prop );
+
+				// If curCSS returns percentage, fallback to offset
+				return rnumnonpx.test( computed ) ?
+					jQuery( elem ).position()[ prop ] + "px" :
+					computed;
+			}
+		}
+	);
+} );
+
+
+// Create innerHeight, innerWidth, height, width, outerHeight and outerWidth methods
+jQuery.each( { Height: "height", Width: "width" }, function( name, type ) {
+	jQuery.each( { padding: "inner" + name, content: type, "": "outer" + name },
+		function( defaultExtra, funcName ) {
+
+		// Margin is only for outerHeight, outerWidth
+		jQuery.fn[ funcName ] = function( margin, value ) {
+			var chainable = arguments.length && ( defaultExtra || typeof margin !== "boolean" ),
+				extra = defaultExtra || ( margin === true || value === true ? "margin" : "border" );
+
+			return access( this, function( elem, type, value ) {
+				var doc;
+
+				if ( isWindow( elem ) ) {
+
+					// $( window ).outerWidth/Height return w/h including scrollbars (gh-1729)
+					return funcName.indexOf( "outer" ) === 0 ?
+						elem[ "inner" + name ] :
+						elem.document.documentElement[ "client" + name ];
+				}
+
+				// Get document width or height
+				if ( elem.nodeType === 9 ) {
+					doc = elem.documentElement;
+
+					// Either scroll[Width/Height] or offset[Width/Height] or client[Width/Height],
+					// whichever is greatest
+					return Math.max(
+						elem.body[ "scroll" + name ], doc[ "scroll" + name ],
+						elem.body[ "offset" + name ], doc[ "offset" + name ],
+						doc[ "client" + name ]
+					);
+				}
+
+				return value === undefined ?
+
+					// Get width or height on the element, requesting but not forcing parseFloat
+					jQuery.css( elem, type, extra ) :
+
+					// Set width or height on the element
+					jQuery.style( elem, type, value, extra );
+			}, type, chainable ? margin : undefined, chainable );
+		};
+	} );
+} );
+
+
+jQuery.each( [
+	"ajaxStart",
+	"ajaxStop",
+	"ajaxComplete",
+	"ajaxError",
+	"ajaxSuccess",
+	"ajaxSend"
+], function( _i, type ) {
+	jQuery.fn[ type ] = function( fn ) {
+		return this.on( type, fn );
+	};
+} );
+
+
+
+
+jQuery.fn.extend( {
+
+	bind: function( types, data, fn ) {
+		return this.on( types, null, data, fn );
+	},
+	unbind: function( types, fn ) {
+		return this.off( types, null, fn );
+	},
+
+	delegate: function( selector, types, data, fn ) {
+		return this.on( types, selector, data, fn );
+	},
+	undelegate: function( selector, types, fn ) {
+
+		// ( namespace ) or ( selector, types [, fn] )
+		return arguments.length === 1 ?
+			this.off( selector, "**" ) :
+			this.off( types, selector || "**", fn );
+	},
+
+	hover: function( fnOver, fnOut ) {
+		return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver );
+	}
+} );
+
+jQuery.each( ( "blur focus focusin focusout resize scroll click dblclick " +
+	"mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " +
+	"change select submit keydown keypress keyup contextmenu" ).split( " " ),
+	function( _i, name ) {
+
+		// Handle event binding
+		jQuery.fn[ name ] = function( data, fn ) {
+			return arguments.length > 0 ?
+				this.on( name, null, data, fn ) :
+				this.trigger( name );
+		};
+	} );
+
+
+
+
+// Support: Android <=4.0 only
+// Make sure we trim BOM and NBSP
+var rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;
+
+// Bind a function to a context, optionally partially applying any
+// arguments.
+// jQuery.proxy is deprecated to promote standards (specifically Function#bind)
+// However, it is not slated for removal any time soon
+jQuery.proxy = function( fn, context ) {
+	var tmp, args, proxy;
+
+	if ( typeof context === "string" ) {
+		tmp = fn[ context ];
+		context = fn;
+		fn = tmp;
+	}
+
+	// Quick check to determine if target is callable, in the spec
+	// this throws a TypeError, but we will just return undefined.
+	if ( !isFunction( fn ) ) {
+		return undefined;
+	}
+
+	// Simulated bind
+	args = slice.call( arguments, 2 );
+	proxy = function() {
+		return fn.apply( context || this, args.concat( slice.call( arguments ) ) );
+	};
+
+	// Set the guid of unique handler to the same of original handler, so it can be removed
+	proxy.guid = fn.guid = fn.guid || jQuery.guid++;
+
+	return proxy;
+};
+
+jQuery.holdReady = function( hold ) {
+	if ( hold ) {
+		jQuery.readyWait++;
+	} else {
+		jQuery.ready( true );
+	}
+};
+jQuery.isArray = Array.isArray;
+jQuery.parseJSON = JSON.parse;
+jQuery.nodeName = nodeName;
+jQuery.isFunction = isFunction;
+jQuery.isWindow = isWindow;
+jQuery.camelCase = camelCase;
+jQuery.type = toType;
+
+jQuery.now = Date.now;
+
+jQuery.isNumeric = function( obj ) {
+
+	// As of jQuery 3.0, isNumeric is limited to
+	// strings and numbers (primitives or objects)
+	// that can be coerced to finite numbers (gh-2662)
+	var type = jQuery.type( obj );
+	return ( type === "number" || type === "string" ) &&
+
+		// parseFloat NaNs numeric-cast false positives ("")
+		// ...but misinterprets leading-number strings, particularly hex literals ("0x...")
+		// subtraction forces infinities to NaN
+		!isNaN( obj - parseFloat( obj ) );
+};
+
+jQuery.trim = function( text ) {
+	return text == null ?
+		"" :
+		( text + "" ).replace( rtrim, "" );
+};
+
+
+
+// Register as a named AMD module, since jQuery can be concatenated with other
+// files that may use define, but not via a proper concatenation script that
+// understands anonymous AMD modules. A named AMD is safest and most robust
+// way to register. Lowercase jquery is used because AMD module names are
+// derived from file names, and jQuery is normally delivered in a lowercase
+// file name. Do this after creating the global so that if an AMD module wants
+// to call noConflict to hide this version of jQuery, it will work.
+
+// Note that for maximum portability, libraries that are not jQuery should
+// declare themselves as anonymous modules, and avoid setting a global if an
+// AMD loader is present. jQuery is a special case. For more information, see
+// https://github.com/jrburke/requirejs/wiki/Updating-existing-libraries#wiki-anon
+
+if ( typeof define === "function" && define.amd ) {
+	define( "jquery", [], function() {
+		return jQuery;
+	} );
+}
+
+
+
+
+var
+
+	// Map over jQuery in case of overwrite
+	_jQuery = window.jQuery,
+
+	// Map over the $ in case of overwrite
+	_$ = window.$;
+
+jQuery.noConflict = function( deep ) {
+	if ( window.$ === jQuery ) {
+		window.$ = _$;
+	}
+
+	if ( deep && window.jQuery === jQuery ) {
+		window.jQuery = _jQuery;
+	}
+
+	return jQuery;
+};
+
+// Expose jQuery and $ identifiers, even in AMD
+// (#7102#comment:10, https://github.com/jquery/jquery/pull/557)
+// and CommonJS for browser emulators (#13566)
+if ( typeof noGlobal === "undefined" ) {
+	window.jQuery = window.$ = jQuery;
+}
+
+
+
+
+return jQuery;
+} );
diff --git a/docs/0.10.5/html/_static/jquery.js b/docs/0.10.5/html/_static/jquery.js
new file mode 100644
index 000000000..b0614034a
--- /dev/null
+++ b/docs/0.10.5/html/_static/jquery.js
@@ -0,0 +1,2 @@
+/*! jQuery v3.5.1 | (c) JS Foundation and other contributors | jquery.org/license */
+!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.5.1",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:u,sort:t.sort,splice:t.splice},S.extend=S.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||m(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(S.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||S.isPlainObject(n)?n:{},i=!1,a[t]=S.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},S.extend({expando:"jQuery"+(f+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==o.call(e))&&(!(t=r(e))||"function"==typeof(n=v.call(t,"constructor")&&t.constructor)&&a.call(n)===l)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){b(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(p(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(p(Object(e))?S.merge(n,"string"==typeof e?[e]:e):u.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:i.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(p(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:y}),"function"==typeof Symbol&&(S.fn[Symbol.iterator]=t[Symbol.iterator]),S.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var d=function(n){var e,d,b,o,i,h,f,g,w,u,l,T,C,a,E,v,s,c,y,S="sizzle"+1*new Date,p=n.document,k=0,r=0,m=ue(),x=ue(),A=ue(),N=ue(),D=function(e,t){return e===t&&(l=!0),0},j={}.hasOwnProperty,t=[],q=t.pop,L=t.push,H=t.push,O=t.slice,P=function(e,t){for(var n=0,r=e.length;n<r;n++)if(e[n]===t)return n;return-1},R="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",M="[\\x20\\t\\r\\n\\f]",I="(?:\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",W="\\["+M+"*("+I+")(?:"+M+"*([*^$|!~]?=)"+M+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+I+"))|)"+M+"*\\]",F=":("+I+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+W+")*)|.*)\\)|)",B=new RegExp(M+"+","g"),$=new RegExp("^"+M+"+|((?:^|[^\\\\])(?:\\\\.)*)"+M+"+$","g"),_=new RegExp("^"+M+"*,"+M+"*"),z=new RegExp("^"+M+"*([>+~]|"+M+")"+M+"*"),U=new RegExp(M+"|>"),X=new RegExp(F),V=new RegExp("^"+I+"$"),G={ID:new RegExp("^#("+I+")"),CLASS:new RegExp("^\\.("+I+")"),TAG:new RegExp("^("+I+"|[*])"),ATTR:new RegExp("^"+W),PSEUDO:new RegExp("^"+F),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+M+"*(even|odd|(([+-]|)(\\d*)n|)"+M+"*(?:([+-]|)"+M+"*(\\d+)|))"+M+"*\\)|)","i"),bool:new RegExp("^(?:"+R+")$","i"),needsContext:new RegExp("^"+M+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+M+"*((?:-\\d)?\\d*)"+M+"*\\)|)(?=[^-]|$)","i")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\d$/i,K=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,ee=/[+~]/,te=new RegExp("\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\([^\\r\\n\\f])","g"),ne=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ie=function(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e},oe=function(){T()},ae=be(function(e){return!0===e.disabled&&"fieldset"===e.nodeName.toLowerCase()},{dir:"parentNode",next:"legend"});try{H.apply(t=O.call(p.childNodes),p.childNodes),t[p.childNodes.length].nodeType}catch(e){H={apply:t.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){var n=e.length,r=0;while(e[n++]=t[r++]);e.length=n-1}}}function se(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(T(e),e=e||C,E)){if(11!==p&&(u=Z.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return n.push(a),n}else if(f&&(a=f.getElementById(i))&&y(e,a)&&a.id===i)return n.push(a),n}else{if(u[2])return H.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&d.getElementsByClassName&&e.getElementsByClassName)return H.apply(n,e.getElementsByClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!v||!v.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ye(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=S)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return g(t.replace($,"$1"),e,n,r)}function ue(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function le(e){return e[S]=!0,e}function ce(e){var t=C.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){var n=e.split("|"),r=n.length;while(r--)b.attrHandle[n[r]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)while(n=n.nextSibling)if(n===t)return-1;return e?1:-1}function de(t){return function(e){return"input"===e.nodeName.toLowerCase()&&e.type===t}}function he(n){return function(e){var t=e.nodeName.toLowerCase();return("input"===t||"button"===t)&&e.type===n}}function ge(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&ae(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function ve(a){return le(function(o){return o=+o,le(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function ye(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}for(e in d=se.support={},i=se.isXML=function(e){var t=e.namespaceURI,n=(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||"HTML")},T=se.setDocument=function(e){var t,n,r=e?e.ownerDocument||e:p;return r!=C&&9===r.nodeType&&r.documentElement&&(a=(C=r).documentElement,E=!i(C),p!=C&&(n=C.defaultView)&&n.top!==n&&(n.addEventListener?n.addEventListener("unload",oe,!1):n.attachEvent&&n.attachEvent("onunload",oe)),d.scope=ce(function(e){return a.appendChild(e).appendChild(C.createElement("div")),"undefined"!=typeof e.querySelectorAll&&!e.querySelectorAll(":scope fieldset div").length}),d.attributes=ce(function(e){return e.className="i",!e.getAttribute("className")}),d.getElementsByTagName=ce(function(e){return e.appendChild(C.createComment("")),!e.getElementsByTagName("*").length}),d.getElementsByClassName=K.test(C.getElementsByClassName),d.getById=ce(function(e){return a.appendChild(e).id=S,!C.getElementsByName||!C.getElementsByName(S).length}),d.getById?(b.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(te,ne);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=d.getElementsByTagName?function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):d.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if("*"===e){while(n=o[i++])1===n.nodeType&&r.push(n);return r}return o},b.find.CLASS=d.getElementsByClassName&&function(e,t){if("undefined"!=typeof t.getElementsByClassName&&E)return t.getElementsByClassName(e)},s=[],v=[],(d.qsa=K.test(C.querySelectorAll))&&(ce(function(e){var t;a.appendChild(e).innerHTML="<a id='"+S+"'></a><select id='"+S+"-\r\\' msallowcapture=''><option selected=''></option></select>",e.querySelectorAll("[msallowcapture^='']").length&&v.push("[*^$]="+M+"*(?:''|\"\")"),e.querySelectorAll("[selected]").length||v.push("\\["+M+"*(?:value|"+R+")"),e.querySelectorAll("[id~="+S+"-]").length||v.push("~="),(t=C.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||v.push("\\["+M+"*name"+M+"*="+M+"*(?:''|\"\")"),e.querySelectorAll(":checked").length||v.push(":checked"),e.querySelectorAll("a#"+S+"+*").length||v.push(".#.+[+~]"),e.querySelectorAll("\\\f"),v.push("[\\r\\n\\f]")}),ce(function(e){e.innerHTML="<a href='' disabled='disabled'></a><select disabled='disabled'><option/></select>";var t=C.createElement("input");t.setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),e.querySelectorAll("[name=d]").length&&v.push("name"+M+"*[*^$|!~]?="),2!==e.querySelectorAll(":enabled").length&&v.push(":enabled",":disabled"),a.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&v.push(":enabled",":disabled"),e.querySelectorAll("*,:x"),v.push(",.*:")})),(d.matchesSelector=K.test(c=a.matches||a.webkitMatchesSelector||a.mozMatchesSelector||a.oMatchesSelector||a.msMatchesSelector))&&ce(function(e){d.disconnectedMatch=c.call(e,"*"),c.call(e,"[s!='']:x"),s.push("!=",F)}),v=v.length&&new RegExp(v.join("|")),s=s.length&&new RegExp(s.join("|")),t=K.test(a.compareDocumentPosition),y=t||K.test(a.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)while(t=t.parentNode)if(t===e)return!0;return!1},D=t?function(e,t){if(e===t)return l=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!d.sortDetached&&t.compareDocumentPosition(e)===n?e==C||e.ownerDocument==p&&y(p,e)?-1:t==C||t.ownerDocument==p&&y(p,t)?1:u?P(u,e)-P(u,t):0:4&n?-1:1)}:function(e,t){if(e===t)return l=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==C?-1:t==C?1:i?-1:o?1:u?P(u,e)-P(u,t):0;if(i===o)return pe(e,t);n=e;while(n=n.parentNode)a.unshift(n);n=t;while(n=n.parentNode)s.unshift(n);while(a[r]===s[r])r++;return r?pe(a[r],s[r]):a[r]==p?-1:s[r]==p?1:0}),C},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(T(e),d.matchesSelector&&E&&!N[t+" "]&&(!s||!s.test(t))&&(!v||!v.test(t)))try{var n=c.call(e,t);if(n||d.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){N(t,!0)}return 0<se(t,C,null,[e]).length},se.contains=function(e,t){return(e.ownerDocument||e)!=C&&T(e),y(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=C&&T(e);var n=b.attrHandle[t.toLowerCase()],r=n&&j.call(b.attrHandle,t.toLowerCase())?n(e,t,!E):void 0;return void 0!==r?r:d.attributes||!E?e.getAttribute(t):(r=e.getAttributeNode(t))&&r.specified?r.value:null},se.escape=function(e){return(e+"").replace(re,ie)},se.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},se.uniqueSort=function(e){var t,n=[],r=0,i=0;if(l=!d.detectDuplicates,u=!d.sortStable&&e.slice(0),e.sort(D),l){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)e.splice(n[r],1)}return u=null,e},o=se.getText=function(e){var t,n="",r=0,i=e.nodeType;if(i){if(1===i||9===i||11===i){if("string"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=o(e)}else if(3===i||4===i)return e.nodeValue}else while(t=e[r++])n+=o(t);return n},(b=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||"").replace(te,ne),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&X.test(n)&&(t=h(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return"*"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=m[e+" "];return t||(t=new RegExp("(^|"+M+")"+e+"("+M+"|$)"))&&m(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=se.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(B," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(h,e,t,g,v){var y="nth"!==h.slice(0,3),m="last"!==h.slice(-4),x="of-type"===e;return 1===g&&0===v?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u,l=y!==m?"nextSibling":"previousSibling",c=e.parentNode,f=x&&e.nodeName.toLowerCase(),p=!n&&!x,d=!1;if(c){if(y){while(l){a=e;while(a=a[l])if(x?a.nodeName.toLowerCase()===f:1===a.nodeType)return!1;u=l="only"===h&&!u&&"nextSibling"}return!0}if(u=[m?c.firstChild:c.lastChild],m&&p){d=(s=(r=(i=(o=(a=c)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1])&&r[2],a=s&&c.childNodes[s];while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if(1===a.nodeType&&++d&&a===e){i[h]=[k,s,d];break}}else if(p&&(d=s=(r=(i=(o=(a=e)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1]),!1===d)while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if((x?a.nodeName.toLowerCase()===f:1===a.nodeType)&&++d&&(p&&((i=(o=a[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]=[k,d]),a===e))break;return(d-=v)===g||d%g==0&&0<=d/g}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||se.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?le(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=P(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:le(function(e){var r=[],i=[],s=f(e.replace($,"$1"));return s[S]?le(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:le(function(t){return function(e){return 0<se(t,e).length}}),contains:le(function(t){return t=t.replace(te,ne),function(e){return-1<(e.textContent||o(e)).indexOf(t)}}),lang:le(function(n){return V.test(n||"")||se.error("unsupported lang: "+n),n=n.replace(te,ne).toLowerCase(),function(e){var t;do{if(t=E?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=n.location&&n.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===a},focus:function(e){return e===C.activeElement&&(!C.hasFocus||C.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&!!e.checked||"option"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&"button"===e.type||"button"===t},text:function(e){var t;return"input"===e.nodeName.toLowerCase()&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:ve(function(){return[0]}),last:ve(function(e,t){return[t-1]}),eq:ve(function(e,t,n){return[n<0?n+t:n]}),even:ve(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:ve(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:ve(function(e,t,n){for(var r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:ve(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=de(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=he(e);function me(){}function xe(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function be(s,e,t){var u=e.dir,l=e.next,c=l||u,f=t&&"parentNode"===c,p=r++;return e.first?function(e,t,n){while(e=e[u])if(1===e.nodeType||f)return s(e,t,n);return!1}:function(e,t,n){var r,i,o,a=[k,p];if(n){while(e=e[u])if((1===e.nodeType||f)&&s(e,t,n))return!0}else while(e=e[u])if(1===e.nodeType||f)if(i=(o=e[S]||(e[S]={}))[e.uniqueID]||(o[e.uniqueID]={}),l&&l===e.nodeName.toLowerCase())e=e[u]||e;else{if((r=i[c])&&r[0]===k&&r[1]===p)return a[2]=r[2];if((i[c]=a)[2]=s(e,t,n))return!0}return!1}}function we(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function Ce(d,h,g,v,y,e){return v&&!v[S]&&(v=Ce(v)),y&&!y[S]&&(y=Ce(y,e)),le(function(e,t,n,r){var i,o,a,s=[],u=[],l=t.length,c=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)se(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),f=!d||!e&&h?c:Te(c,s,d,n,r),p=g?y||(e?d:l||v)?[]:t:f;if(g&&g(f,p,n,r),v){i=Te(p,u),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(p[u[o]]=!(f[u[o]]=a))}if(e){if(y||d){if(y){i=[],o=p.length;while(o--)(a=p[o])&&i.push(f[o]=a);y(null,p=[],i,r)}o=p.length;while(o--)(a=p[o])&&-1<(i=y?P(e,a):s[o])&&(e[i]=!(t[i]=a))}}else p=Te(p===t?p.splice(l,p.length):p),y?y(null,t,p,r):H.apply(t,p)})}function Ee(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=be(function(e){return e===i},a,!0),l=be(function(e){return-1<P(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!==w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[be(we(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return Ce(1<s&&we(c),1<s&&xe(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace($,"$1"),t,s<n&&Ee(e.slice(s,n)),n<r&&Ee(e=e.slice(n)),n<r&&xe(e))}c.push(t)}return we(c)}return me.prototype=b.filters=b.pseudos,b.setFilters=new me,h=se.tokenize=function(e,t){var n,r,i,o,a,s,u,l=x[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=_.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=z.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace($," ")}),a=a.slice(n.length)),b.filter)!(r=G[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?se.error(e):x(e,s).slice(0)},f=se.compile=function(e,t){var n,v,y,m,x,r,i=[],o=[],a=A[e+" "];if(!a){t||(t=h(e)),n=t.length;while(n--)(a=Ee(t[n]))[S]?i.push(a):o.push(a);(a=A(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=k+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==C||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==C||(T(o),n=!E);while(s=v[a++])if(s(o,t||C,n)){r.push(o);break}i&&(k=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=q.call(r));f=Te(f)}H.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&se.uniqueSort(r)}return i&&(k=h,w=p),c},m?le(r):r))).selector=e}return a},g=se.select=function(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&h(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&E&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(te,ne),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=G.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(te,ne),ee.test(o[0].type)&&ye(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&xe(o)))return H.apply(n,r),n;break}}}return(l||f(e,c))(r,t,!E,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},d.sortStable=S.split("").sort(D).join("")===S,d.detectDuplicates=!!l,T(),d.sortDetached=ce(function(e){return 1&e.compareDocumentPosition(C.createElement("fieldset"))}),ce(function(e){return e.innerHTML="<a href='#'></a>","#"===e.firstChild.getAttribute("href")})||fe("type|href|height|width",function(e,t,n){if(!n)return e.getAttribute(t,"type"===t.toLowerCase()?1:2)}),d.attributes&&ce(function(e){return e.innerHTML="<input/>",e.firstChild.setAttribute("value",""),""===e.firstChild.getAttribute("value")})||fe("value",function(e,t,n){if(!n&&"input"===e.nodeName.toLowerCase())return e.defaultValue}),ce(function(e){return null==e.getAttribute("disabled")})||fe(R,function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null}),se}(C);S.find=d,S.expr=d.selectors,S.expr[":"]=S.expr.pseudos,S.uniqueSort=S.unique=d.uniqueSort,S.text=d.getText,S.isXMLDoc=d.isXML,S.contains=d.contains,S.escapeSelector=d.escape;var h=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&S(e).is(n))break;r.push(e)}return r},T=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=S.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function D(e,n,r){return m(n)?S.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?S.grep(e,function(e){return e===n!==r}):"string"!=typeof n?S.grep(e,function(e){return-1<i.call(n,e)!==r}):S.filter(n,e,r)}S.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?S.find.matchesSelector(r,e)?[r]:[]:S.find.matches(e,S.grep(t,function(e){return 1===e.nodeType}))},S.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(S(e).filter(function(){for(t=0;t<r;t++)if(S.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)S.find(e,i[t],n);return 1<r?S.uniqueSort(n):n},filter:function(e){return this.pushStack(D(this,e||[],!1))},not:function(e){return this.pushStack(D(this,e||[],!0))},is:function(e){return!!D(this,"string"==typeof e&&k.test(e)?S(e):e||[],!1).length}});var j,q=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(S.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||j,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof S?t[0]:t,S.merge(this,S.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:E,!0)),N.test(r[1])&&S.isPlainObject(t))for(r in t)m(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=E.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):m(e)?void 0!==n.ready?n.ready(e):e(S):S.makeArray(e,this)}).prototype=S.fn,j=S(E);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){while((e=e[t])&&1!==e.nodeType);return e}S.fn.extend({has:function(e){var t=S(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(S.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&S(e);if(!k.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&S.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?S.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?i.call(S(e),this[0]):i.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(S.uniqueSort(S.merge(this.get(),S(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),S.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return h(e,"parentNode")},parentsUntil:function(e,t,n){return h(e,"parentNode",n)},next:function(e){return O(e,"nextSibling")},prev:function(e){return O(e,"previousSibling")},nextAll:function(e){return h(e,"nextSibling")},prevAll:function(e){return h(e,"previousSibling")},nextUntil:function(e,t,n){return h(e,"nextSibling",n)},prevUntil:function(e,t,n){return h(e,"previousSibling",n)},siblings:function(e){return T((e.parentNode||{}).firstChild,e)},children:function(e){return T(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,"template")&&(e=e.content||e),S.merge([],e.childNodes))}},function(r,i){S.fn[r]=function(e,t){var n=S.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=S.filter(t,n)),1<this.length&&(H[r]||S.uniqueSort(n),L.test(r)&&n.reverse()),this.pushStack(n)}});var P=/[^\x20\t\r\n\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&m(i=e.promise)?i.call(e).done(t).fail(n):e&&m(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}S.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},S.each(e.match(P)||[],function(e,t){n[t]=!0}),n):S.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){S.each(e,function(e,t){m(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==w(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return S.each(arguments,function(e,t){var n;while(-1<(n=S.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<S.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},S.extend({Deferred:function(e){var o=[["notify","progress",S.Callbacks("memory"),S.Callbacks("memory"),2],["resolve","done",S.Callbacks("once memory"),S.Callbacks("once memory"),0,"resolved"],["reject","fail",S.Callbacks("once memory"),S.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return S.Deferred(function(r){S.each(o,function(e,t){var n=m(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&m(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,m(t)?s?t.call(e,l(u,o,R,s),l(u,o,M,s)):(u++,t.call(e,l(u,o,R,s),l(u,o,M,s),l(u,o,R,o.notifyWith))):(a!==R&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){S.Deferred.exceptionHook&&S.Deferred.exceptionHook(e,t.stackTrace),u<=i+1&&(a!==M&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(S.Deferred.getStackHook&&(t.stackTrace=S.Deferred.getStackHook()),C.setTimeout(t))}}return S.Deferred(function(e){o[0][3].add(l(0,e,m(r)?r:R,e.notifyWith)),o[1][3].add(l(0,e,m(t)?t:R)),o[2][3].add(l(0,e,m(n)?n:M))}).promise()},promise:function(e){return null!=e?S.extend(e,a):a}},s={};return S.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=s.call(arguments),o=S.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?s.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(I(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||m(i[t]&&i[t].then)))return o.then();while(t--)I(i[t],a(t),o.reject);return o.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;S.Deferred.exceptionHook=function(e,t){C.console&&C.console.warn&&e&&W.test(e.name)&&C.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},S.readyException=function(e){C.setTimeout(function(){throw e})};var F=S.Deferred();function B(){E.removeEventListener("DOMContentLoaded",B),C.removeEventListener("load",B),S.ready()}S.fn.ready=function(e){return F.then(e)["catch"](function(e){S.readyException(e)}),this},S.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--S.readyWait:S.isReady)||(S.isReady=!0)!==e&&0<--S.readyWait||F.resolveWith(E,[S])}}),S.ready.then=F.then,"complete"===E.readyState||"loading"!==E.readyState&&!E.documentElement.doScroll?C.setTimeout(S.ready):(E.addEventListener("DOMContentLoaded",B),C.addEventListener("load",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===w(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,m(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(S(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},_=/^-ms-/,z=/-([a-z])/g;function U(e,t){return t.toUpperCase()}function X(e){return e.replace(_,"ms-").replace(z,U)}var V=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function G(){this.expando=S.expando+G.uid++}G.uid=1,G.prototype={cache:function(e){var t=e[this.expando];return t||(t={},V(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[X(t)]=n;else for(r in t)i[X(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][X(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(X):(t=X(t))in r?[t]:t.match(P)||[]).length;while(n--)delete r[t[n]]}(void 0===t||S.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!S.isEmptyObject(t)}};var Y=new G,Q=new G,J=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,K=/[A-Z]/g;function Z(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(K,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:J.test(i)?JSON.parse(i):i)}catch(e){}Q.set(e,t,n)}else n=void 0;return n}S.extend({hasData:function(e){return Q.hasData(e)||Y.hasData(e)},data:function(e,t,n){return Q.access(e,t,n)},removeData:function(e,t){Q.remove(e,t)},_data:function(e,t,n){return Y.access(e,t,n)},_removeData:function(e,t){Y.remove(e,t)}}),S.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=Q.get(o),1===o.nodeType&&!Y.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=X(r.slice(5)),Z(o,r,i[r]));Y.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){Q.set(this,n)}):$(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=Q.get(o,n))?t:void 0!==(t=Z(o,n))?t:void 0;this.each(function(){Q.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){Q.remove(this,e)})}}),S.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,S.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=S.queue(e,t),r=n.length,i=n.shift(),o=S._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){S.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return Y.get(e,n)||Y.access(e,n,{empty:S.Callbacks("once memory").add(function(){Y.remove(e,[t+"queue",n])})})}}),S.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?S.queue(this[0],t):void 0===n?this:this.each(function(){var e=S.queue(this,t,n);S._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&S.dequeue(this,t)})},dequeue:function(e){return this.each(function(){S.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=S.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=Y.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var ee=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,te=new RegExp("^(?:([+-])=|)("+ee+")([a-z%]*)$","i"),ne=["Top","Right","Bottom","Left"],re=E.documentElement,ie=function(e){return S.contains(e.ownerDocument,e)},oe={composed:!0};re.getRootNode&&(ie=function(e){return S.contains(e.ownerDocument,e)||e.getRootNode(oe)===e.ownerDocument});var ae=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&ie(e)&&"none"===S.css(e,"display")};function se(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return S.css(e,t,"")},u=s(),l=n&&n[3]||(S.cssNumber[t]?"":"px"),c=e.nodeType&&(S.cssNumber[t]||"px"!==l&&+u)&&te.exec(S.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)S.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,S.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ue={};function le(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=Y.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ae(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ue[s])||(o=a.body.appendChild(a.createElement(s)),u=S.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ue[s]=u)))):"none"!==n&&(l[c]="none",Y.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}S.fn.extend({show:function(){return le(this,!0)},hide:function(){return le(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ae(this)?S(this).show():S(this).hide()})}});var ce,fe,pe=/^(?:checkbox|radio)$/i,de=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,he=/^$|^module$|\/(?:java|ecma)script/i;ce=E.createDocumentFragment().appendChild(E.createElement("div")),(fe=E.createElement("input")).setAttribute("type","radio"),fe.setAttribute("checked","checked"),fe.setAttribute("name","t"),ce.appendChild(fe),y.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML="<textarea>x</textarea>",y.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML="<option></option>",y.option=!!ce.lastChild;var ge={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function ve(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&A(e,t)?S.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n<r;n++)Y.set(e[n],"globalEval",!t||Y.get(t[n],"globalEval"))}ge.tbody=ge.tfoot=ge.colgroup=ge.caption=ge.thead,ge.th=ge.td,y.option||(ge.optgroup=ge.option=[1,"<select multiple='multiple'>","</select>"]);var me=/<|&#?\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===w(o))S.merge(p,o.nodeType?[o]:o);else if(me.test(o)){a=a||f.appendChild(t.createElement("div")),s=(de.exec(o)||["",""])[1].toLowerCase(),u=ge[s]||ge._default,a.innerHTML=u[1]+S.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;S.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<S.inArray(o,r))i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),"script"),l&&ye(a),n){c=0;while(o=a[c++])he.test(o.type||"")&&n.push(o)}return f}var be=/^key/,we=/^(?:mouse|pointer|contextmenu|drag|drop)|click/,Te=/^([^.]*)(?:\.(.+)|)/;function Ce(){return!0}function Ee(){return!1}function Se(e,t){return e===function(){try{return E.activeElement}catch(e){}}()==("focus"===t)}function ke(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)ke(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Ee;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return S().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=S.guid++)),e.each(function(){S.event.add(this,t,i,r,n)})}function Ae(e,i,o){o?(Y.set(e,i,!1),S.event.add(e,i,{namespace:!1,handler:function(e){var t,n,r=Y.get(this,i);if(1&e.isTrigger&&this[i]){if(r.length)(S.event.special[i]||{}).delegateType&&e.stopPropagation();else if(r=s.call(arguments),Y.set(this,i,r),t=o(this,i),this[i](),r!==(n=Y.get(this,i))||t?Y.set(this,i,!1):n={},r!==n)return e.stopImmediatePropagation(),e.preventDefault(),n.value}else r.length&&(Y.set(this,i,{value:S.event.trigger(S.extend(r[0],S.Event.prototype),r.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,i)&&S.event.add(e,i,Ce)}S.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(t);if(V(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&S.find.matchesSelector(re,i),n.guid||(n.guid=S.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof S&&S.event.triggered!==e.type?S.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(P)||[""]).length;while(l--)d=g=(s=Te.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=S.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=S.event.special[d]||{},c=S.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&S.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),S.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(P)||[""]).length;while(l--)if(d=g=(s=Te.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=S.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||S.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)S.event.remove(e,d+t[l],n,r,!0);S.isEmptyObject(u)&&Y.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=S.event.fix(e),l=(Y.get(this,"events")||Object.create(null))[u.type]||[],c=S.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=S.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((S.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<S(i,this).index(l):S.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(S.Event.prototype,t,{enumerable:!0,configurable:!0,get:m(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[S.expando]?e:new S.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Ae(t,"click",Ce),!1},trigger:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Ae(t,"click"),!0},_default:function(e){var t=e.target;return pe.test(t.type)&&t.click&&A(t,"input")&&Y.get(t,"click")||A(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},S.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},S.Event=function(e,t){if(!(this instanceof S.Event))return new S.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?Ce:Ee,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&S.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[S.expando]=!0},S.Event.prototype={constructor:S.Event,isDefaultPrevented:Ee,isPropagationStopped:Ee,isImmediatePropagationStopped:Ee,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=Ce,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=Ce,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=Ce,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},S.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:function(e){var t=e.button;return null==e.which&&be.test(e.type)?null!=e.charCode?e.charCode:e.keyCode:!e.which&&void 0!==t&&we.test(e.type)?1&t?1:2&t?3:4&t?2:0:e.which}},S.event.addProp),S.each({focus:"focusin",blur:"focusout"},function(e,t){S.event.special[e]={setup:function(){return Ae(this,e,Se),!1},trigger:function(){return Ae(this,e),!0},delegateType:t}}),S.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){S.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||S.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),S.fn.extend({on:function(e,t,n,r){return ke(this,e,t,n,r)},one:function(e,t,n,r){return ke(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,S(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Ee),this.each(function(){S.event.remove(this,e,n,t)})}});var Ne=/<script|<style|<link/i,De=/checked\s*(?:[^=]|=\s*.checked.)/i,je=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function qe(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&S(e).children("tbody")[0]||e}function Le(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function He(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Oe(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)S.event.add(t,i,s[i][n]);Q.hasData(e)&&(o=Q.access(e),a=S.extend({},o),Q.set(t,a))}}function Pe(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=m(d);if(h||1<f&&"string"==typeof d&&!y.checkClone&&De.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),Pe(t,r,i,o)});if(f&&(t=(e=xe(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=S.map(ve(e,"script"),Le)).length;c<f;c++)u=e,c!==p&&(u=S.clone(u,!0,!0),s&&S.merge(a,ve(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,S.map(a,He),c=0;c<s;c++)u=a[c],he.test(u.type||"")&&!Y.access(u,"globalEval")&&S.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?S._evalUrl&&!u.noModule&&S._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):b(u.textContent.replace(je,""),u,l))}return n}function Re(e,t,n){for(var r,i=t?S.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||S.cleanData(ve(r)),r.parentNode&&(n&&ie(r)&&ye(ve(r,"script")),r.parentNode.removeChild(r));return e}S.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=ie(e);if(!(y.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||S.isXMLDoc(e)))for(a=ve(c),r=0,i=(o=ve(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&pe.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||ve(e),a=a||ve(c),r=0,i=o.length;r<i;r++)Oe(o[r],a[r]);else Oe(e,c);return 0<(a=ve(c,"script")).length&&ye(a,!f&&ve(e,"script")),c},cleanData:function(e){for(var t,n,r,i=S.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?S.event.remove(n,r):S.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),S.fn.extend({detach:function(e){return Re(this,e,!0)},remove:function(e){return Re(this,e)},text:function(e){return $(this,function(e){return void 0===e?S.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return Pe(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||qe(this,e).appendChild(e)})},prepend:function(){return Pe(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=qe(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return Pe(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return Pe(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(S.cleanData(ve(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return S.clone(this,e,t)})},html:function(e){return $(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!Ne.test(e)&&!ge[(de.exec(e)||["",""])[1].toLowerCase()]){e=S.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(S.cleanData(ve(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return Pe(this,arguments,function(e){var t=this.parentNode;S.inArray(this,n)<0&&(S.cleanData(ve(this)),t&&t.replaceChild(e,this))},n)}}),S.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){S.fn[e]=function(e){for(var t,n=[],r=S(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),S(r[o])[a](t),u.apply(n,t.get());return this.pushStack(n)}});var Me=new RegExp("^("+ee+")(?!px)[a-z%]+$","i"),Ie=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=C),t.getComputedStyle(e)},We=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Fe=new RegExp(ne.join("|"),"i");function Be(e,t,n){var r,i,o,a,s=e.style;return(n=n||Ie(e))&&(""!==(a=n.getPropertyValue(t)||n[t])||ie(e)||(a=S.style(e,t)),!y.pixelBoxStyles()&&Me.test(a)&&Fe.test(t)&&(r=s.width,i=s.minWidth,o=s.maxWidth,s.minWidth=s.maxWidth=s.width=a,a=n.width,s.width=r,s.minWidth=i,s.maxWidth=o)),void 0!==a?a+"":a}function $e(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",re.appendChild(u).appendChild(l);var e=C.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),re.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=E.createElement("div"),l=E.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",y.clearCloneStyle="content-box"===l.style.backgroundClip,S.extend(y,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=E.createElement("table"),t=E.createElement("tr"),n=E.createElement("div"),e.style.cssText="position:absolute;left:-11111px",t.style.height="1px",n.style.height="9px",re.appendChild(e).appendChild(t).appendChild(n),r=C.getComputedStyle(t),a=3<parseInt(r.height),re.removeChild(e)),a}}))}();var _e=["Webkit","Moz","ms"],ze=E.createElement("div").style,Ue={};function Xe(e){var t=S.cssProps[e]||Ue[e];return t||(e in ze?e:Ue[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=_e.length;while(n--)if((e=_e[n]+t)in ze)return e}(e)||e)}var Ve=/^(none|table(?!-c[ea]).+)/,Ge=/^--/,Ye={position:"absolute",visibility:"hidden",display:"block"},Qe={letterSpacing:"0",fontWeight:"400"};function Je(e,t,n){var r=te.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function Ke(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(u+=S.css(e,n+ne[a],!0,i)),r?("content"===n&&(u-=S.css(e,"padding"+ne[a],!0,i)),"margin"!==n&&(u-=S.css(e,"border"+ne[a]+"Width",!0,i))):(u+=S.css(e,"padding"+ne[a],!0,i),"padding"!==n?u+=S.css(e,"border"+ne[a]+"Width",!0,i):s+=S.css(e,"border"+ne[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Ze(e,t,n){var r=Ie(e),i=(!y.boxSizingReliable()||n)&&"border-box"===S.css(e,"boxSizing",!1,r),o=i,a=Be(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(Me.test(a)){if(!n)return a;a="auto"}return(!y.boxSizingReliable()&&i||!y.reliableTrDimensions()&&A(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===S.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===S.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Ke(e,t,n||(i?"border":"content"),o,r,a)+"px"}function et(e,t,n,r,i){return new et.prototype.init(e,t,n,r,i)}S.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=Be(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Ge.test(t),l=e.style;if(u||(t=Xe(s)),a=S.cssHooks[t]||S.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(S.cssNumber[s]?"":"px")),y.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Ge.test(t)||(t=Xe(s)),(a=S.cssHooks[t]||S.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=Be(e,t,r)),"normal"===i&&t in Qe&&(i=Qe[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),S.each(["height","width"],function(e,u){S.cssHooks[u]={get:function(e,t,n){if(t)return!Ve.test(S.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?Ze(e,u,n):We(e,Ye,function(){return Ze(e,u,n)})},set:function(e,t,n){var r,i=Ie(e),o=!y.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===S.css(e,"boxSizing",!1,i),s=n?Ke(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-Ke(e,u,"border",!1,i)-.5)),s&&(r=te.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=S.css(e,u)),Je(0,t,s)}}}),S.cssHooks.marginLeft=$e(y.reliableMarginLeft,function(e,t){if(t)return(parseFloat(Be(e,"marginLeft"))||e.getBoundingClientRect().left-We(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),S.each({margin:"",padding:"",border:"Width"},function(i,o){S.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+ne[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(S.cssHooks[i+o].set=Je)}),S.fn.extend({css:function(e,t){return $(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Ie(e),i=t.length;a<i;a++)o[t[a]]=S.css(e,t[a],!1,r);return o}return void 0!==n?S.style(e,t,n):S.css(e,t)},e,t,1<arguments.length)}}),((S.Tween=et).prototype={constructor:et,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||S.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(S.cssNumber[n]?"":"px")},cur:function(){var e=et.propHooks[this.prop];return e&&e.get?e.get(this):et.propHooks._default.get(this)},run:function(e){var t,n=et.propHooks[this.prop];return this.options.duration?this.pos=t=S.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):et.propHooks._default.set(this),this}}).init.prototype=et.prototype,(et.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=S.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){S.fx.step[e.prop]?S.fx.step[e.prop](e):1!==e.elem.nodeType||!S.cssHooks[e.prop]&&null==e.elem.style[Xe(e.prop)]?e.elem[e.prop]=e.now:S.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=et.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},S.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},S.fx=et.prototype.init,S.fx.step={};var tt,nt,rt,it,ot=/^(?:toggle|show|hide)$/,at=/queueHooks$/;function st(){nt&&(!1===E.hidden&&C.requestAnimationFrame?C.requestAnimationFrame(st):C.setTimeout(st,S.fx.interval),S.fx.tick())}function ut(){return C.setTimeout(function(){tt=void 0}),tt=Date.now()}function lt(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=ne[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function ct(e,t,n){for(var r,i=(ft.tweeners[t]||[]).concat(ft.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function ft(o,e,t){var n,a,r=0,i=ft.prefilters.length,s=S.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=tt||ut(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:S.extend({},e),opts:S.extend(!0,{specialEasing:{},easing:S.easing._default},t),originalProperties:e,originalOptions:t,startTime:tt||ut(),duration:t.duration,tweens:[],createTween:function(e,t){var n=S.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=X(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=S.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=ft.prefilters[r].call(l,o,c,l.opts))return m(n.stop)&&(S._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return S.map(c,ct,l),m(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),S.fx.timer(S.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}S.Animation=S.extend(ft,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return se(n.elem,e,te.exec(t),n),n}]},tweener:function(e,t){m(e)?(t=e,e=["*"]):e=e.match(P);for(var n,r=0,i=e.length;r<i;r++)n=e[r],ft.tweeners[n]=ft.tweeners[n]||[],ft.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ae(e),v=Y.get(e,"fxshow");for(r in n.queue||(null==(a=S._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,S.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],ot.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||S.style(e,r)}if((u=!S.isEmptyObject(t))||!S.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=Y.get(e,"display")),"none"===(c=S.css(e,"display"))&&(l?c=l:(le([e],!0),l=e.style.display||l,c=S.css(e,"display"),le([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===S.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=Y.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&le([e],!0),p.done(function(){for(r in g||le([e]),Y.remove(e,"fxshow"),d)S.style(e,r,d[r])})),u=ct(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?ft.prefilters.unshift(e):ft.prefilters.push(e)}}),S.speed=function(e,t,n){var r=e&&"object"==typeof e?S.extend({},e):{complete:n||!n&&t||m(e)&&e,duration:e,easing:n&&t||t&&!m(t)&&t};return S.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in S.fx.speeds?r.duration=S.fx.speeds[r.duration]:r.duration=S.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){m(r.old)&&r.old.call(this),r.queue&&S.dequeue(this,r.queue)},r},S.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ae).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=S.isEmptyObject(t),o=S.speed(e,n,r),a=function(){var e=ft(this,S.extend({},t),o);(i||Y.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=S.timers,r=Y.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&at.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||S.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=Y.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=S.timers,o=n?n.length:0;for(t.finish=!0,S.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),S.each(["toggle","show","hide"],function(e,r){var i=S.fn[r];S.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(lt(r,!0),e,t,n)}}),S.each({slideDown:lt("show"),slideUp:lt("hide"),slideToggle:lt("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){S.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),S.timers=[],S.fx.tick=function(){var e,t=0,n=S.timers;for(tt=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||S.fx.stop(),tt=void 0},S.fx.timer=function(e){S.timers.push(e),S.fx.start()},S.fx.interval=13,S.fx.start=function(){nt||(nt=!0,st())},S.fx.stop=function(){nt=null},S.fx.speeds={slow:600,fast:200,_default:400},S.fn.delay=function(r,e){return r=S.fx&&S.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=C.setTimeout(e,r);t.stop=function(){C.clearTimeout(n)}})},rt=E.createElement("input"),it=E.createElement("select").appendChild(E.createElement("option")),rt.type="checkbox",y.checkOn=""!==rt.value,y.optSelected=it.selected,(rt=E.createElement("input")).value="t",rt.type="radio",y.radioValue="t"===rt.value;var pt,dt=S.expr.attrHandle;S.fn.extend({attr:function(e,t){return $(this,S.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){S.removeAttr(this,e)})}}),S.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?S.prop(e,t,n):(1===o&&S.isXMLDoc(e)||(i=S.attrHooks[t.toLowerCase()]||(S.expr.match.bool.test(t)?pt:void 0)),void 0!==n?null===n?void S.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=S.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!y.radioValue&&"radio"===t&&A(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),pt={set:function(e,t,n){return!1===t?S.removeAttr(e,n):e.setAttribute(n,n),n}},S.each(S.expr.match.bool.source.match(/\w+/g),function(e,t){var a=dt[t]||S.find.attr;dt[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=dt[o],dt[o]=r,r=null!=a(e,t,n)?o:null,dt[o]=i),r}});var ht=/^(?:input|select|textarea|button)$/i,gt=/^(?:a|area)$/i;function vt(e){return(e.match(P)||[]).join(" ")}function yt(e){return e.getAttribute&&e.getAttribute("class")||""}function mt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(P)||[]}S.fn.extend({prop:function(e,t){return $(this,S.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[S.propFix[e]||e]})}}),S.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&S.isXMLDoc(e)||(t=S.propFix[t]||t,i=S.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=S.find.attr(e,"tabindex");return t?parseInt(t,10):ht.test(e.nodeName)||gt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),y.optSelected||(S.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),S.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){S.propFix[this.toLowerCase()]=this}),S.fn.extend({addClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).addClass(t.call(this,e,yt(this)))});if((e=mt(t)).length)while(n=this[u++])if(i=yt(n),r=1===n.nodeType&&" "+vt(i)+" "){a=0;while(o=e[a++])r.indexOf(" "+o+" ")<0&&(r+=o+" ");i!==(s=vt(r))&&n.setAttribute("class",s)}return this},removeClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).removeClass(t.call(this,e,yt(this)))});if(!arguments.length)return this.attr("class","");if((e=mt(t)).length)while(n=this[u++])if(i=yt(n),r=1===n.nodeType&&" "+vt(i)+" "){a=0;while(o=e[a++])while(-1<r.indexOf(" "+o+" "))r=r.replace(" "+o+" "," ");i!==(s=vt(r))&&n.setAttribute("class",s)}return this},toggleClass:function(i,t){var o=typeof i,a="string"===o||Array.isArray(i);return"boolean"==typeof t&&a?t?this.addClass(i):this.removeClass(i):m(i)?this.each(function(e){S(this).toggleClass(i.call(this,e,yt(this),t),t)}):this.each(function(){var e,t,n,r;if(a){t=0,n=S(this),r=mt(i);while(e=r[t++])n.hasClass(e)?n.removeClass(e):n.addClass(e)}else void 0!==i&&"boolean"!==o||((e=yt(this))&&Y.set(this,"__className__",e),this.setAttribute&&this.setAttribute("class",e||!1===i?"":Y.get(this,"__className__")||""))})},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+vt(yt(n))+" ").indexOf(t))return!0;return!1}});var xt=/\r/g;S.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=m(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,S(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=S.map(t,function(e){return null==e?"":e+""})),(r=S.valHooks[this.type]||S.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=S.valHooks[t.type]||S.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(xt,""):null==e?"":e:void 0}}),S.extend({valHooks:{option:{get:function(e){var t=S.find.attr(e,"value");return null!=t?t:vt(S.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!A(n.parentNode,"optgroup"))){if(t=S(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=S.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<S.inArray(S.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),S.each(["radio","checkbox"],function(){S.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<S.inArray(S(e).val(),t)}},y.checkOn||(S.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})}),y.focusin="onfocusin"in C;var bt=/^(?:focusinfocus|focusoutblur)$/,wt=function(e){e.stopPropagation()};S.extend(S.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||E],d=v.call(e,"type")?e.type:e,h=v.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||E,3!==n.nodeType&&8!==n.nodeType&&!bt.test(d+S.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[S.expando]?e:new S.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:S.makeArray(t,[e]),c=S.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!x(n)){for(s=c.delegateType||d,bt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||E)&&p.push(a.defaultView||a.parentWindow||C)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(Y.get(o,"events")||Object.create(null))[e.type]&&Y.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&V(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!V(n)||u&&m(n[d])&&!x(n)&&((a=n[u])&&(n[u]=null),S.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,wt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,wt),S.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=S.extend(new S.Event,n,{type:e,isSimulated:!0});S.event.trigger(r,null,t)}}),S.fn.extend({trigger:function(e,t){return this.each(function(){S.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return S.event.trigger(e,t,n,!0)}}),y.focusin||S.each({focus:"focusin",blur:"focusout"},function(n,r){var i=function(e){S.event.simulate(r,e.target,S.event.fix(e))};S.event.special[r]={setup:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r);t||e.addEventListener(n,i,!0),Y.access(e,r,(t||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r)-1;t?Y.access(e,r,t):(e.removeEventListener(n,i,!0),Y.remove(e,r))}}});var Tt=C.location,Ct={guid:Date.now()},Et=/\?/;S.parseXML=function(e){var t;if(!e||"string"!=typeof e)return null;try{t=(new C.DOMParser).parseFromString(e,"text/xml")}catch(e){t=void 0}return t&&!t.getElementsByTagName("parsererror").length||S.error("Invalid XML: "+e),t};var St=/\[\]$/,kt=/\r?\n/g,At=/^(?:submit|button|image|reset|file)$/i,Nt=/^(?:input|select|textarea|keygen)/i;function Dt(n,e,r,i){var t;if(Array.isArray(e))S.each(e,function(e,t){r||St.test(n)?i(n,t):Dt(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==w(e))i(n,e);else for(t in e)Dt(n+"["+t+"]",e[t],r,i)}S.param=function(e,t){var n,r=[],i=function(e,t){var n=m(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!S.isPlainObject(e))S.each(e,function(){i(this.name,this.value)});else for(n in e)Dt(n,e[n],t,i);return r.join("&")},S.fn.extend({serialize:function(){return S.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=S.prop(this,"elements");return e?S.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!S(this).is(":disabled")&&Nt.test(this.nodeName)&&!At.test(e)&&(this.checked||!pe.test(e))}).map(function(e,t){var n=S(this).val();return null==n?null:Array.isArray(n)?S.map(n,function(e){return{name:t.name,value:e.replace(kt,"\r\n")}}):{name:t.name,value:n.replace(kt,"\r\n")}}).get()}});var jt=/%20/g,qt=/#.*$/,Lt=/([?&])_=[^&]*/,Ht=/^(.*?):[ \t]*([^\r\n]*)$/gm,Ot=/^(?:GET|HEAD)$/,Pt=/^\/\//,Rt={},Mt={},It="*/".concat("*"),Wt=E.createElement("a");function Ft(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(P)||[];if(m(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Bt(t,i,o,a){var s={},u=t===Mt;function l(e){var r;return s[e]=!0,S.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function $t(e,t){var n,r,i=S.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&S.extend(!0,e,r),e}Wt.href=Tt.href,S.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:Tt.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(Tt.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":It,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":S.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?$t($t(e,S.ajaxSettings),t):$t(S.ajaxSettings,e)},ajaxPrefilter:Ft(Rt),ajaxTransport:Ft(Mt),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=S.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?S(y):S.event,x=S.Deferred(),b=S.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=Ht.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||Tt.href)+"").replace(Pt,Tt.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(P)||[""],null==v.crossDomain){r=E.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Wt.protocol+"//"+Wt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=S.param(v.data,v.traditional)),Bt(Rt,v,t,T),h)return T;for(i in(g=S.event&&v.global)&&0==S.active++&&S.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Ot.test(v.type),f=v.url.replace(qt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(jt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(Et.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(Lt,"$1"),o=(Et.test(f)?"&":"?")+"_="+Ct.guid+++o),v.url=f+o),v.ifModified&&(S.lastModified[f]&&T.setRequestHeader("If-Modified-Since",S.lastModified[f]),S.etag[f]&&T.setRequestHeader("If-None-Match",S.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+It+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Bt(Mt,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=C.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&C.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<S.inArray("script",v.dataTypes)&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(S.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(S.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--S.active||S.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return S.get(e,t,n,"json")},getScript:function(e,t){return S.get(e,void 0,t,"script")}}),S.each(["get","post"],function(e,i){S[i]=function(e,t,n,r){return m(t)&&(r=r||n,n=t,t=void 0),S.ajax(S.extend({url:e,type:i,dataType:r,data:t,success:n},S.isPlainObject(e)&&e))}}),S.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),S._evalUrl=function(e,t,n){return S.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){S.globalEval(e,t,n)}})},S.fn.extend({wrapAll:function(e){var t;return this[0]&&(m(e)&&(e=e.call(this[0])),t=S(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return m(n)?this.each(function(e){S(this).wrapInner(n.call(this,e))}):this.each(function(){var e=S(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=m(t);return this.each(function(e){S(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){S(this).replaceWith(this.childNodes)}),this}}),S.expr.pseudos.hidden=function(e){return!S.expr.pseudos.visible(e)},S.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},S.ajaxSettings.xhr=function(){try{return new C.XMLHttpRequest}catch(e){}};var _t={0:200,1223:204},zt=S.ajaxSettings.xhr();y.cors=!!zt&&"withCredentials"in zt,y.ajax=zt=!!zt,S.ajaxTransport(function(i){var o,a;if(y.cors||zt&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(_t[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&C.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),S.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),S.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return S.globalEval(e),e}}}),S.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),S.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=S("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),E.head.appendChild(r[0])},abort:function(){i&&i()}}});var Ut,Xt=[],Vt=/(=)\?(?=&|$)|\?\?/;S.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=Xt.pop()||S.expando+"_"+Ct.guid++;return this[e]=!0,e}}),S.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Vt.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Vt.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=m(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Vt,"$1"+r):!1!==e.jsonp&&(e.url+=(Et.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||S.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=C[r],C[r]=function(){o=arguments},n.always(function(){void 0===i?S(C).removeProp(r):C[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,Xt.push(r)),o&&m(i)&&i(o[0]),o=i=void 0}),"script"}),y.createHTMLDocument=((Ut=E.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===Ut.childNodes.length),S.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(y.createHTMLDocument?((r=(t=E.implementation.createHTMLDocument("")).createElement("base")).href=E.location.href,t.head.appendChild(r)):t=E),o=!n&&[],(i=N.exec(e))?[t.createElement(i[1])]:(i=xe([e],t,o),o&&o.length&&S(o).remove(),S.merge([],i.childNodes)));var r,i,o},S.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=vt(e.slice(s)),e=e.slice(0,s)),m(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&S.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?S("<div>").append(S.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},S.expr.pseudos.animated=function(t){return S.grep(S.timers,function(e){return t===e.elem}).length},S.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=S.css(e,"position"),c=S(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=S.css(e,"top"),u=S.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),m(t)&&(t=t.call(e,n,S.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):("number"==typeof f.top&&(f.top+="px"),"number"==typeof f.left&&(f.left+="px"),c.css(f))}},S.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){S.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===S.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===S.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=S(e).offset()).top+=S.css(e,"borderTopWidth",!0),i.left+=S.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-S.css(r,"marginTop",!0),left:t.left-i.left-S.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===S.css(e,"position"))e=e.offsetParent;return e||re})}}),S.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;S.fn[t]=function(e){return $(this,function(e,t,n){var r;if(x(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),S.each(["top","left"],function(e,n){S.cssHooks[n]=$e(y.pixelPosition,function(e,t){if(t)return t=Be(e,n),Me.test(t)?S(e).position()[n]+"px":t})}),S.each({Height:"height",Width:"width"},function(a,s){S.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){S.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return $(this,function(e,t,n){var r;return x(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?S.css(e,t,i):S.style(e,t,n,i)},s,n?e:void 0,n)}})}),S.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){S.fn[t]=function(e){return this.on(t,e)}}),S.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),S.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){S.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var Gt=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;S.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),m(e))return r=s.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(s.call(arguments)))}).guid=e.guid=e.guid||S.guid++,i},S.holdReady=function(e){e?S.readyWait++:S.ready(!0)},S.isArray=Array.isArray,S.parseJSON=JSON.parse,S.nodeName=A,S.isFunction=m,S.isWindow=x,S.camelCase=X,S.type=w,S.now=Date.now,S.isNumeric=function(e){var t=S.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},S.trim=function(e){return null==e?"":(e+"").replace(Gt,"")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return S});var Yt=C.jQuery,Qt=C.$;return S.noConflict=function(e){return C.$===S&&(C.$=Qt),e&&C.jQuery===S&&(C.jQuery=Yt),S},"undefined"==typeof e&&(C.jQuery=C.$=S),S});
diff --git a/docs/0.10.5/html/_static/language_data.js b/docs/0.10.5/html/_static/language_data.js
new file mode 100644
index 000000000..863704b31
--- /dev/null
+++ b/docs/0.10.5/html/_static/language_data.js
@@ -0,0 +1,297 @@
+/*
+ * language_data.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * This script contains the language-specific data used by searchtools.js,
+ * namely the list of stopwords, stemmer, scorer and splitter.
+ *
+ * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+var stopwords = ["a","and","are","as","at","be","but","by","for","if","in","into","is","it","near","no","not","of","on","or","such","that","the","their","then","there","these","they","this","to","was","will","with"];
+
+
+/* Non-minified version is copied as a separate JS file, is available */
+
+/**
+ * Porter Stemmer
+ */
+var Stemmer = function() {
+
+  var step2list = {
+    ational: 'ate',
+    tional: 'tion',
+    enci: 'ence',
+    anci: 'ance',
+    izer: 'ize',
+    bli: 'ble',
+    alli: 'al',
+    entli: 'ent',
+    eli: 'e',
+    ousli: 'ous',
+    ization: 'ize',
+    ation: 'ate',
+    ator: 'ate',
+    alism: 'al',
+    iveness: 'ive',
+    fulness: 'ful',
+    ousness: 'ous',
+    aliti: 'al',
+    iviti: 'ive',
+    biliti: 'ble',
+    logi: 'log'
+  };
+
+  var step3list = {
+    icate: 'ic',
+    ative: '',
+    alize: 'al',
+    iciti: 'ic',
+    ical: 'ic',
+    ful: '',
+    ness: ''
+  };
+
+  var c = "[^aeiou]";          // consonant
+  var v = "[aeiouy]";          // vowel
+  var C = c + "[^aeiouy]*";    // consonant sequence
+  var V = v + "[aeiou]*";      // vowel sequence
+
+  var mgr0 = "^(" + C + ")?" + V + C;                      // [C]VC... is m>0
+  var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$";    // [C]VC[V] is m=1
+  var mgr1 = "^(" + C + ")?" + V + C + V + C;              // [C]VCVC... is m>1
+  var s_v   = "^(" + C + ")?" + v;                         // vowel in stem
+
+  this.stemWord = function (w) {
+    var stem;
+    var suffix;
+    var firstch;
+    var origword = w;
+
+    if (w.length < 3)
+      return w;
+
+    var re;
+    var re2;
+    var re3;
+    var re4;
+
+    firstch = w.substr(0,1);
+    if (firstch == "y")
+      w = firstch.toUpperCase() + w.substr(1);
+
+    // Step 1a
+    re = /^(.+?)(ss|i)es$/;
+    re2 = /^(.+?)([^s])s$/;
+
+    if (re.test(w))
+      w = w.replace(re,"$1$2");
+    else if (re2.test(w))
+      w = w.replace(re2,"$1$2");
+
+    // Step 1b
+    re = /^(.+?)eed$/;
+    re2 = /^(.+?)(ed|ing)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      re = new RegExp(mgr0);
+      if (re.test(fp[1])) {
+        re = /.$/;
+        w = w.replace(re,"");
+      }
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1];
+      re2 = new RegExp(s_v);
+      if (re2.test(stem)) {
+        w = stem;
+        re2 = /(at|bl|iz)$/;
+        re3 = new RegExp("([^aeiouylsz])\\1$");
+        re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+        if (re2.test(w))
+          w = w + "e";
+        else if (re3.test(w)) {
+          re = /.$/;
+          w = w.replace(re,"");
+        }
+        else if (re4.test(w))
+          w = w + "e";
+      }
+    }
+
+    // Step 1c
+    re = /^(.+?)y$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(s_v);
+      if (re.test(stem))
+        w = stem + "i";
+    }
+
+    // Step 2
+    re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step2list[suffix];
+    }
+
+    // Step 3
+    re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step3list[suffix];
+    }
+
+    // Step 4
+    re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
+    re2 = /^(.+?)(s|t)(ion)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      if (re.test(stem))
+        w = stem;
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1] + fp[2];
+      re2 = new RegExp(mgr1);
+      if (re2.test(stem))
+        w = stem;
+    }
+
+    // Step 5
+    re = /^(.+?)e$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      re2 = new RegExp(meq1);
+      re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+      if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
+        w = stem;
+    }
+    re = /ll$/;
+    re2 = new RegExp(mgr1);
+    if (re.test(w) && re2.test(w)) {
+      re = /.$/;
+      w = w.replace(re,"");
+    }
+
+    // and turn initial Y back to y
+    if (firstch == "y")
+      w = firstch.toLowerCase() + w.substr(1);
+    return w;
+  }
+}
+
+
+
+
+var splitChars = (function() {
+    var result = {};
+    var singles = [96, 180, 187, 191, 215, 247, 749, 885, 903, 907, 909, 930, 1014, 1648,
+         1748, 1809, 2416, 2473, 2481, 2526, 2601, 2609, 2612, 2615, 2653, 2702,
+         2706, 2729, 2737, 2740, 2857, 2865, 2868, 2910, 2928, 2948, 2961, 2971,
+         2973, 3085, 3089, 3113, 3124, 3213, 3217, 3241, 3252, 3295, 3341, 3345,
+         3369, 3506, 3516, 3633, 3715, 3721, 3736, 3744, 3748, 3750, 3756, 3761,
+         3781, 3912, 4239, 4347, 4681, 4695, 4697, 4745, 4785, 4799, 4801, 4823,
+         4881, 5760, 5901, 5997, 6313, 7405, 8024, 8026, 8028, 8030, 8117, 8125,
+         8133, 8181, 8468, 8485, 8487, 8489, 8494, 8527, 11311, 11359, 11687, 11695,
+         11703, 11711, 11719, 11727, 11735, 12448, 12539, 43010, 43014, 43019, 43587,
+         43696, 43713, 64286, 64297, 64311, 64317, 64319, 64322, 64325, 65141];
+    var i, j, start, end;
+    for (i = 0; i < singles.length; i++) {
+        result[singles[i]] = true;
+    }
+    var ranges = [[0, 47], [58, 64], [91, 94], [123, 169], [171, 177], [182, 184], [706, 709],
+         [722, 735], [741, 747], [751, 879], [888, 889], [894, 901], [1154, 1161],
+         [1318, 1328], [1367, 1368], [1370, 1376], [1416, 1487], [1515, 1519], [1523, 1568],
+         [1611, 1631], [1642, 1645], [1750, 1764], [1767, 1773], [1789, 1790], [1792, 1807],
+         [1840, 1868], [1958, 1968], [1970, 1983], [2027, 2035], [2038, 2041], [2043, 2047],
+         [2070, 2073], [2075, 2083], [2085, 2087], [2089, 2307], [2362, 2364], [2366, 2383],
+         [2385, 2391], [2402, 2405], [2419, 2424], [2432, 2436], [2445, 2446], [2449, 2450],
+         [2483, 2485], [2490, 2492], [2494, 2509], [2511, 2523], [2530, 2533], [2546, 2547],
+         [2554, 2564], [2571, 2574], [2577, 2578], [2618, 2648], [2655, 2661], [2672, 2673],
+         [2677, 2692], [2746, 2748], [2750, 2767], [2769, 2783], [2786, 2789], [2800, 2820],
+         [2829, 2830], [2833, 2834], [2874, 2876], [2878, 2907], [2914, 2917], [2930, 2946],
+         [2955, 2957], [2966, 2968], [2976, 2978], [2981, 2983], [2987, 2989], [3002, 3023],
+         [3025, 3045], [3059, 3076], [3130, 3132], [3134, 3159], [3162, 3167], [3170, 3173],
+         [3184, 3191], [3199, 3204], [3258, 3260], [3262, 3293], [3298, 3301], [3312, 3332],
+         [3386, 3388], [3390, 3423], [3426, 3429], [3446, 3449], [3456, 3460], [3479, 3481],
+         [3518, 3519], [3527, 3584], [3636, 3647], [3655, 3663], [3674, 3712], [3717, 3718],
+         [3723, 3724], [3726, 3731], [3752, 3753], [3764, 3772], [3774, 3775], [3783, 3791],
+         [3802, 3803], [3806, 3839], [3841, 3871], [3892, 3903], [3949, 3975], [3980, 4095],
+         [4139, 4158], [4170, 4175], [4182, 4185], [4190, 4192], [4194, 4196], [4199, 4205],
+         [4209, 4212], [4226, 4237], [4250, 4255], [4294, 4303], [4349, 4351], [4686, 4687],
+         [4702, 4703], [4750, 4751], [4790, 4791], [4806, 4807], [4886, 4887], [4955, 4968],
+         [4989, 4991], [5008, 5023], [5109, 5120], [5741, 5742], [5787, 5791], [5867, 5869],
+         [5873, 5887], [5906, 5919], [5938, 5951], [5970, 5983], [6001, 6015], [6068, 6102],
+         [6104, 6107], [6109, 6111], [6122, 6127], [6138, 6159], [6170, 6175], [6264, 6271],
+         [6315, 6319], [6390, 6399], [6429, 6469], [6510, 6511], [6517, 6527], [6572, 6592],
+         [6600, 6607], [6619, 6655], [6679, 6687], [6741, 6783], [6794, 6799], [6810, 6822],
+         [6824, 6916], [6964, 6980], [6988, 6991], [7002, 7042], [7073, 7085], [7098, 7167],
+         [7204, 7231], [7242, 7244], [7294, 7400], [7410, 7423], [7616, 7679], [7958, 7959],
+         [7966, 7967], [8006, 8007], [8014, 8015], [8062, 8063], [8127, 8129], [8141, 8143],
+         [8148, 8149], [8156, 8159], [8173, 8177], [8189, 8303], [8306, 8307], [8314, 8318],
+         [8330, 8335], [8341, 8449], [8451, 8454], [8456, 8457], [8470, 8472], [8478, 8483],
+         [8506, 8507], [8512, 8516], [8522, 8525], [8586, 9311], [9372, 9449], [9472, 10101],
+         [10132, 11263], [11493, 11498], [11503, 11516], [11518, 11519], [11558, 11567],
+         [11622, 11630], [11632, 11647], [11671, 11679], [11743, 11822], [11824, 12292],
+         [12296, 12320], [12330, 12336], [12342, 12343], [12349, 12352], [12439, 12444],
+         [12544, 12548], [12590, 12592], [12687, 12689], [12694, 12703], [12728, 12783],
+         [12800, 12831], [12842, 12880], [12896, 12927], [12938, 12976], [12992, 13311],
+         [19894, 19967], [40908, 40959], [42125, 42191], [42238, 42239], [42509, 42511],
+         [42540, 42559], [42592, 42593], [42607, 42622], [42648, 42655], [42736, 42774],
+         [42784, 42785], [42889, 42890], [42893, 43002], [43043, 43055], [43062, 43071],
+         [43124, 43137], [43188, 43215], [43226, 43249], [43256, 43258], [43260, 43263],
+         [43302, 43311], [43335, 43359], [43389, 43395], [43443, 43470], [43482, 43519],
+         [43561, 43583], [43596, 43599], [43610, 43615], [43639, 43641], [43643, 43647],
+         [43698, 43700], [43703, 43704], [43710, 43711], [43715, 43738], [43742, 43967],
+         [44003, 44015], [44026, 44031], [55204, 55215], [55239, 55242], [55292, 55295],
+         [57344, 63743], [64046, 64047], [64110, 64111], [64218, 64255], [64263, 64274],
+         [64280, 64284], [64434, 64466], [64830, 64847], [64912, 64913], [64968, 65007],
+         [65020, 65135], [65277, 65295], [65306, 65312], [65339, 65344], [65371, 65381],
+         [65471, 65473], [65480, 65481], [65488, 65489], [65496, 65497]];
+    for (i = 0; i < ranges.length; i++) {
+        start = ranges[i][0];
+        end = ranges[i][1];
+        for (j = start; j <= end; j++) {
+            result[j] = true;
+        }
+    }
+    return result;
+})();
+
+function splitQuery(query) {
+    var result = [];
+    var start = -1;
+    for (var i = 0; i < query.length; i++) {
+        if (splitChars[query.charCodeAt(i)]) {
+            if (start !== -1) {
+                result.push(query.slice(start, i));
+                start = -1;
+            }
+        } else if (start === -1) {
+            start = i;
+        }
+    }
+    if (start !== -1) {
+        result.push(query.slice(start));
+    }
+    return result;
+}
+
+
diff --git a/docs/0.10.5/html/_static/minus.png b/docs/0.10.5/html/_static/minus.png
new file mode 100644
index 0000000000000000000000000000000000000000..d96755fdaf8bb2214971e0db9c1fd3077d7c419d
GIT binary patch
literal 90
zcmeAS@N?(olHy`uVBq!ia0vp^+#t*WBp7;*Yy1LIik>cxAr*|t7R?Mi>2?kWtu=nj
kDsEF_5m^0CR;1wuP-*O&G^0G}KYk!hp00i_>zopr08q^qX#fBK

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_static/plus.png b/docs/0.10.5/html/_static/plus.png
new file mode 100644
index 0000000000000000000000000000000000000000..7107cec93a979b9a5f64843235a16651d563ce2d
GIT binary patch
literal 90
zcmeAS@N?(olHy`uVBq!ia0vp^+#t*WBp7;*Yy1LIik>cxAr*|t7R?Mi>2?kWtu>-2
m3q%Vub%g%s<8sJhVPMczOq}xhg9DJoz~JfX=d#Wzp$Pyb1r*Kz

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/_static/pygments.css b/docs/0.10.5/html/_static/pygments.css
new file mode 100644
index 000000000..08bec689d
--- /dev/null
+++ b/docs/0.10.5/html/_static/pygments.css
@@ -0,0 +1,74 @@
+pre { line-height: 125%; }
+td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+.highlight .hll { background-color: #ffffcc }
+.highlight { background: #f8f8f8; }
+.highlight .c { color: #3D7B7B; font-style: italic } /* Comment */
+.highlight .err { border: 1px solid #FF0000 } /* Error */
+.highlight .k { color: #008000; font-weight: bold } /* Keyword */
+.highlight .o { color: #666666 } /* Operator */
+.highlight .ch { color: #3D7B7B; font-style: italic } /* Comment.Hashbang */
+.highlight .cm { color: #3D7B7B; font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: #9C6500 } /* Comment.Preproc */
+.highlight .cpf { color: #3D7B7B; font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: #3D7B7B; font-style: italic } /* Comment.Single */
+.highlight .cs { color: #3D7B7B; font-style: italic } /* Comment.Special */
+.highlight .gd { color: #A00000 } /* Generic.Deleted */
+.highlight .ge { font-style: italic } /* Generic.Emph */
+.highlight .gr { color: #E40000 } /* Generic.Error */
+.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
+.highlight .gi { color: #008400 } /* Generic.Inserted */
+.highlight .go { color: #717171 } /* Generic.Output */
+.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
+.highlight .gs { font-weight: bold } /* Generic.Strong */
+.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
+.highlight .gt { color: #0044DD } /* Generic.Traceback */
+.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
+.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
+.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
+.highlight .kp { color: #008000 } /* Keyword.Pseudo */
+.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
+.highlight .kt { color: #B00040 } /* Keyword.Type */
+.highlight .m { color: #666666 } /* Literal.Number */
+.highlight .s { color: #BA2121 } /* Literal.String */
+.highlight .na { color: #687822 } /* Name.Attribute */
+.highlight .nb { color: #008000 } /* Name.Builtin */
+.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
+.highlight .no { color: #880000 } /* Name.Constant */
+.highlight .nd { color: #AA22FF } /* Name.Decorator */
+.highlight .ni { color: #717171; font-weight: bold } /* Name.Entity */
+.highlight .ne { color: #CB3F38; font-weight: bold } /* Name.Exception */
+.highlight .nf { color: #0000FF } /* Name.Function */
+.highlight .nl { color: #767600 } /* Name.Label */
+.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
+.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
+.highlight .nv { color: #19177C } /* Name.Variable */
+.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
+.highlight .w { color: #bbbbbb } /* Text.Whitespace */
+.highlight .mb { color: #666666 } /* Literal.Number.Bin */
+.highlight .mf { color: #666666 } /* Literal.Number.Float */
+.highlight .mh { color: #666666 } /* Literal.Number.Hex */
+.highlight .mi { color: #666666 } /* Literal.Number.Integer */
+.highlight .mo { color: #666666 } /* Literal.Number.Oct */
+.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
+.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
+.highlight .sc { color: #BA2121 } /* Literal.String.Char */
+.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
+.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
+.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
+.highlight .se { color: #AA5D1F; font-weight: bold } /* Literal.String.Escape */
+.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
+.highlight .si { color: #A45A77; font-weight: bold } /* Literal.String.Interpol */
+.highlight .sx { color: #008000 } /* Literal.String.Other */
+.highlight .sr { color: #A45A77 } /* Literal.String.Regex */
+.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
+.highlight .ss { color: #19177C } /* Literal.String.Symbol */
+.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
+.highlight .fm { color: #0000FF } /* Name.Function.Magic */
+.highlight .vc { color: #19177C } /* Name.Variable.Class */
+.highlight .vg { color: #19177C } /* Name.Variable.Global */
+.highlight .vi { color: #19177C } /* Name.Variable.Instance */
+.highlight .vm { color: #19177C } /* Name.Variable.Magic */
+.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
\ No newline at end of file
diff --git a/docs/0.10.5/html/_static/pygments_dark.css b/docs/0.10.5/html/_static/pygments_dark.css
new file mode 100644
index 000000000..a327e1fca
--- /dev/null
+++ b/docs/0.10.5/html/_static/pygments_dark.css
@@ -0,0 +1,84 @@
+pre { line-height: 125%; }
+td.linenos .normal { color: #aaaaaa; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+span.linenos { color: #aaaaaa; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+.highlight .hll { background-color: #404040 }
+.highlight { background: #202020; color: #d0d0d0 }
+.highlight .c { color: #ababab; font-style: italic } /* Comment */
+.highlight .err { color: #a61717; background-color: #e3d2d2 } /* Error */
+.highlight .esc { color: #d0d0d0 } /* Escape */
+.highlight .g { color: #d0d0d0 } /* Generic */
+.highlight .k { color: #6ebf26; font-weight: bold } /* Keyword */
+.highlight .l { color: #d0d0d0 } /* Literal */
+.highlight .n { color: #d0d0d0 } /* Name */
+.highlight .o { color: #d0d0d0 } /* Operator */
+.highlight .x { color: #d0d0d0 } /* Other */
+.highlight .p { color: #d0d0d0 } /* Punctuation */
+.highlight .ch { color: #ababab; font-style: italic } /* Comment.Hashbang */
+.highlight .cm { color: #ababab; font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: #ff3a3a; font-weight: bold } /* Comment.Preproc */
+.highlight .cpf { color: #ababab; font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: #ababab; font-style: italic } /* Comment.Single */
+.highlight .cs { color: #e50808; font-weight: bold; background-color: #520000 } /* Comment.Special */
+.highlight .gd { color: #d22323 } /* Generic.Deleted */
+.highlight .ge { color: #d0d0d0; font-style: italic } /* Generic.Emph */
+.highlight .gr { color: #d22323 } /* Generic.Error */
+.highlight .gh { color: #ffffff; font-weight: bold } /* Generic.Heading */
+.highlight .gi { color: #589819 } /* Generic.Inserted */
+.highlight .go { color: #cccccc } /* Generic.Output */
+.highlight .gp { color: #aaaaaa } /* Generic.Prompt */
+.highlight .gs { color: #d0d0d0; font-weight: bold } /* Generic.Strong */
+.highlight .gu { color: #ffffff; text-decoration: underline } /* Generic.Subheading */
+.highlight .gt { color: #d22323 } /* Generic.Traceback */
+.highlight .kc { color: #6ebf26; font-weight: bold } /* Keyword.Constant */
+.highlight .kd { color: #6ebf26; font-weight: bold } /* Keyword.Declaration */
+.highlight .kn { color: #6ebf26; font-weight: bold } /* Keyword.Namespace */
+.highlight .kp { color: #6ebf26 } /* Keyword.Pseudo */
+.highlight .kr { color: #6ebf26; font-weight: bold } /* Keyword.Reserved */
+.highlight .kt { color: #6ebf26; font-weight: bold } /* Keyword.Type */
+.highlight .ld { color: #d0d0d0 } /* Literal.Date */
+.highlight .m { color: #51b2fd } /* Literal.Number */
+.highlight .s { color: #ed9d13 } /* Literal.String */
+.highlight .na { color: #bbbbbb } /* Name.Attribute */
+.highlight .nb { color: #2fbccd } /* Name.Builtin */
+.highlight .nc { color: #71adff; text-decoration: underline } /* Name.Class */
+.highlight .no { color: #40ffff } /* Name.Constant */
+.highlight .nd { color: #ffa500 } /* Name.Decorator */
+.highlight .ni { color: #d0d0d0 } /* Name.Entity */
+.highlight .ne { color: #bbbbbb } /* Name.Exception */
+.highlight .nf { color: #71adff } /* Name.Function */
+.highlight .nl { color: #d0d0d0 } /* Name.Label */
+.highlight .nn { color: #71adff; text-decoration: underline } /* Name.Namespace */
+.highlight .nx { color: #d0d0d0 } /* Name.Other */
+.highlight .py { color: #d0d0d0 } /* Name.Property */
+.highlight .nt { color: #6ebf26; font-weight: bold } /* Name.Tag */
+.highlight .nv { color: #40ffff } /* Name.Variable */
+.highlight .ow { color: #6ebf26; font-weight: bold } /* Operator.Word */
+.highlight .pm { color: #d0d0d0 } /* Punctuation.Marker */
+.highlight .w { color: #666666 } /* Text.Whitespace */
+.highlight .mb { color: #51b2fd } /* Literal.Number.Bin */
+.highlight .mf { color: #51b2fd } /* Literal.Number.Float */
+.highlight .mh { color: #51b2fd } /* Literal.Number.Hex */
+.highlight .mi { color: #51b2fd } /* Literal.Number.Integer */
+.highlight .mo { color: #51b2fd } /* Literal.Number.Oct */
+.highlight .sa { color: #ed9d13 } /* Literal.String.Affix */
+.highlight .sb { color: #ed9d13 } /* Literal.String.Backtick */
+.highlight .sc { color: #ed9d13 } /* Literal.String.Char */
+.highlight .dl { color: #ed9d13 } /* Literal.String.Delimiter */
+.highlight .sd { color: #ed9d13 } /* Literal.String.Doc */
+.highlight .s2 { color: #ed9d13 } /* Literal.String.Double */
+.highlight .se { color: #ed9d13 } /* Literal.String.Escape */
+.highlight .sh { color: #ed9d13 } /* Literal.String.Heredoc */
+.highlight .si { color: #ed9d13 } /* Literal.String.Interpol */
+.highlight .sx { color: #ffa500 } /* Literal.String.Other */
+.highlight .sr { color: #ed9d13 } /* Literal.String.Regex */
+.highlight .s1 { color: #ed9d13 } /* Literal.String.Single */
+.highlight .ss { color: #ed9d13 } /* Literal.String.Symbol */
+.highlight .bp { color: #2fbccd } /* Name.Builtin.Pseudo */
+.highlight .fm { color: #71adff } /* Name.Function.Magic */
+.highlight .vc { color: #40ffff } /* Name.Variable.Class */
+.highlight .vg { color: #40ffff } /* Name.Variable.Global */
+.highlight .vi { color: #40ffff } /* Name.Variable.Instance */
+.highlight .vm { color: #40ffff } /* Name.Variable.Magic */
+.highlight .il { color: #51b2fd } /* Literal.Number.Integer.Long */
\ No newline at end of file
diff --git a/docs/0.10.5/html/_static/scripts/main.js b/docs/0.10.5/html/_static/scripts/main.js
new file mode 100644
index 000000000..79383cce8
--- /dev/null
+++ b/docs/0.10.5/html/_static/scripts/main.js
@@ -0,0 +1,2 @@
+!function(e,t){"function"==typeof define&&define.amd?define([],function(){return t(e)}):"object"==typeof exports?module.exports=t(e):e.Gumshoe=t(e)}("undefined"!=typeof global?global:"undefined"!=typeof window?window:this,function(u){"use strict";function d(e,t,n){n.settings.events&&(n=new CustomEvent(e,{bubbles:!0,cancelable:!0,detail:n}),t.dispatchEvent(n))}function n(e){var t=0;if(e.offsetParent)for(;e;)t+=e.offsetTop,e=e.offsetParent;return 0<=t?t:0}function f(e){e&&e.sort(function(e,t){return n(e.content)<n(t.content)?-1:1})}function l(e,t,n){return e=e.getBoundingClientRect(),t="function"==typeof(t=t).offset?parseFloat(t.offset()):parseFloat(t.offset),n?parseInt(e.bottom,10)<(u.innerHeight||document.documentElement.clientHeight):parseInt(e.top,10)<=t}function s(){return Math.ceil(u.innerHeight+u.pageYOffset)>=Math.max(document.body.scrollHeight,document.documentElement.scrollHeight,document.body.offsetHeight,document.documentElement.offsetHeight,document.body.clientHeight,document.documentElement.clientHeight)}function m(e,t){var n,o,r=e[e.length-1];if(n=r,o=t,!(!s()||!l(n.content,o,!0)))return r;for(var c=e.length-1;0<=c;c--)if(l(e[c].content,t))return e[c]}function v(e,t){var n;!e||(n=e.nav.closest("li"))&&(n.classList.remove(t.navClass),e.content.classList.remove(t.contentClass),o(n,t),d("gumshoeDeactivate",n,{link:e.nav,content:e.content,settings:t}))}var h={navClass:"active",contentClass:"active",nested:!1,nestedClass:"active",offset:0,reflow:!1,events:!0},o=function(e,t){t.nested&&e.parentNode&&((e=e.parentNode.closest("li"))&&(e.classList.remove(t.nestedClass),o(e,t)))},p=function(e,t){!t.nested||(e=e.parentNode.closest("li"))&&(e.classList.add(t.nestedClass),p(e,t))};return function(e,t){var n,r,c,o,l,s={setup:function(){n=document.querySelectorAll(e),r=[],Array.prototype.forEach.call(n,function(e){var t=document.getElementById(decodeURIComponent(e.hash.substr(1)));t&&r.push({nav:e,content:t})}),f(r)}};s.detect=function(){var e,t,n,o=m(r,l);o?c&&o.content===c.content||(v(c,l),t=l,!(e=o)||(n=e.nav.closest("li"))&&(n.classList.add(t.navClass),e.content.classList.add(t.contentClass),p(n,t),d("gumshoeActivate",n,{link:e.nav,content:e.content,settings:t})),c=o):c&&(v(c,l),c=null)};function i(e){o&&u.cancelAnimationFrame(o),o=u.requestAnimationFrame(s.detect)}function a(e){o&&u.cancelAnimationFrame(o),o=u.requestAnimationFrame(function(){f(r),s.detect()})}s.destroy=function(){c&&v(c,l),u.removeEventListener("scroll",i,!1),l.reflow&&u.removeEventListener("resize",a,!1),l=o=c=n=r=null};return l=function(){var n={};return Array.prototype.forEach.call(arguments,function(e){for(var t in e){if(!e.hasOwnProperty(t))return;n[t]=e[t]}}),n}(h,t||{}),s.setup(),s.detect(),u.addEventListener("scroll",i,!1),l.reflow&&u.addEventListener("resize",a,!1),s}});var tocScroll=null,header=null;function scrollHandlerForHeader(){0==Math.floor(header.getBoundingClientRect().top)?header.classList.add("scrolled"):header.classList.remove("scrolled")}function scrollHandlerForTOC(e){null!==tocScroll&&(0==e?tocScroll.scrollTo(0,0):Math.ceil(e)>=Math.floor(document.documentElement.scrollHeight-window.innerHeight)?tocScroll.scrollTo(0,tocScroll.scrollHeight):document.querySelector(".scroll-current"))}function scrollHandler(e){scrollHandlerForHeader(),scrollHandlerForTOC(e)}function setupScrollHandler(){var t,n=!1;window.addEventListener("scroll",function(e){t=window.scrollY,n||(window.requestAnimationFrame(function(){scrollHandler(t),n=!1}),n=!0)}),window.scroll()}function setupScrollSpy(){null!==tocScroll&&new Gumshoe(".toc-tree a",{reflow:!0,recursive:!0,navClass:"scroll-current"})}function setup(){setupScrollHandler(),setupScrollSpy()}function main(){document.body.parentNode.classList.remove("no-js"),header=document.querySelector("header"),tocScroll=document.querySelector(".toc-scroll"),setup()}document.addEventListener("DOMContentLoaded",main);
+//# sourceMappingURL=main.js.map
diff --git a/docs/0.10.5/html/_static/scripts/main.js.map b/docs/0.10.5/html/_static/scripts/main.js.map
new file mode 100644
index 000000000..5d70f82fe
--- /dev/null
+++ b/docs/0.10.5/html/_static/scripts/main.js.map
@@ -0,0 +1 @@
+{"version":3,"sources":["gumshoe-5.1.2-patched.js","main.js"],"names":["root","factory","define","amd","exports","module","Gumshoe","global","window","this","emitEvent","type","elem","detail","settings","events","event","CustomEvent","bubbles","cancelable","dispatchEvent","getOffsetTop","location","offsetParent","offsetTop","sortContents","contents","sort","item1","item2","content","isInView","bottom","bounds","getBoundingClientRect","offset","parseFloat","parseInt","innerHeight","document","documentElement","clientHeight","top","isAtBottom","Math","ceil","pageYOffset","max","body","scrollHeight","offsetHeight","getActive","item","last","length","i","deactivate","items","li","nav","closest","classList","remove","navClass","contentClass","deactivateNested","link","defaults","nested","nestedClass","reflow","parentNode","activateNested","add","selector","options","navItems","current","timeout","publicAPIs","setup","querySelectorAll","Array","prototype","forEach","call","getElementById","decodeURIComponent","hash","substr","push","detect","active","scrollHandler","cancelAnimationFrame","requestAnimationFrame","resizeHandler","destroy","removeEventListener","merged","arguments","obj","key","hasOwnProperty","extend","addEventListener","tocScroll","header","scrollHandlerForHeader","floor","scrollHandlerForTOC","positionY","scrollTo","querySelector","setupScrollHandler","last_known_scroll_position","ticking","e","scrollY","scroll","setupScrollSpy","recursive","main"],"mappings":"CAQA,SAAAA,EAAAC,GACA,mBAAAC,QAAAA,OAAAC,IACAD,OAAA,GAAA,WACA,OAAAD,EAAAD,KAEA,iBAAAI,QACAC,OAAAD,QAAAH,EAAAD,GAEAA,EAAAM,QAAAL,EAAAD,GARA,CAWA,oBAAAO,OACAA,OACA,oBAAAC,OACAA,OACAC,KACA,SAAAD,gBAkDA,SAAAE,EAAAC,EAAAC,EAAAC,GAEAA,EAAAC,SAAAC,SAGAC,EAAA,IAAAC,YAAAN,EAAA,CACAO,SAAA,EACAC,YAAA,EACAN,OAAAA,IAIAD,EAAAQ,cAAAJ,IAQA,SAAAK,EAAAT,GACA,IAAAU,EAAA,EACA,GAAAV,EAAAW,aACA,KAAAX,GACAU,GAAAV,EAAAY,UACAZ,EAAAA,EAAAW,aAGA,OAAA,GAAAD,EAAAA,EAAA,EAOA,SAAAG,EAAAC,GACAA,GACAA,EAAAC,KAAA,SAAAC,EAAAC,GAGA,OAFAR,EAAAO,EAAAE,SACAT,EAAAQ,EAAAC,UACA,EACA,IA2CA,SAAAC,EAAAnB,EAAAE,EAAAkB,GAGA,OAFAC,EAAArB,EAAAsB,wBACAC,EAjCA,mBAFArB,EAmCAA,GAjCAqB,OACAC,WAAAtB,EAAAqB,UAIAC,WAAAtB,EAAAqB,QA6BAH,EAEAK,SAAAJ,EAAAD,OAAA,KACAxB,EAAA8B,aAAAC,SAAAC,gBAAAC,cAGAJ,SAAAJ,EAAAS,IAAA,KAAAP,EAOA,SAAAQ,IACA,OACAC,KAAAC,KAAArC,EAAA8B,YAAA9B,EAAAsC,cAnCAF,KAAAG,IACAR,SAAAS,KAAAC,aACAV,SAAAC,gBAAAS,aACAV,SAAAS,KAAAE,aACAX,SAAAC,gBAAAU,aACAX,SAAAS,KAAAP,aACAF,SAAAC,gBAAAC,cAqDA,SAAAU,EAAAzB,EAAAZ,GACA,IAZAsC,EAAAtC,EAYAuC,EAAA3B,EAAAA,EAAA4B,OAAA,GACA,GAbAF,EAaAC,EAbAvC,EAaAA,KAZA6B,MAAAZ,EAAAqB,EAAAtB,QAAAhB,GAAA,IAYA,OAAAuC,EACA,IAAA,IAAAE,EAAA7B,EAAA4B,OAAA,EAAA,GAAAC,EAAAA,IACA,GAAAxB,EAAAL,EAAA6B,GAAAzB,QAAAhB,GAAA,OAAAY,EAAA6B,GA6BA,SAAAC,EAAAC,EAAA3C,GAEA,IAGA4C,GAHAD,IAGAC,EAAAD,EAAAE,IAAAC,QAAA,SAIAF,EAAAG,UAAAC,OAAAhD,EAAAiD,UACAN,EAAA3B,QAAA+B,UAAAC,OAAAhD,EAAAkD,cAGAC,EAAAP,EAAA5C,GAGAJ,EAAA,oBAAAgD,EAAA,CACAQ,KAAAT,EAAAE,IACA7B,QAAA2B,EAAA3B,QACAhB,SAAAA,KA7NA,IAAAqD,EAAA,CAEAJ,SAAA,SACAC,aAAA,SAGAI,QAAA,EACAC,YAAA,SAGAlC,OAAA,EACAmC,QAAA,EAGAvD,QAAA,GAwKAkD,EAAA,SAAAN,EAAA7C,GAEAA,EAAAsD,QAAAT,EAAAY,cAGAb,EAAAC,EAAAY,WAAAX,QAAA,SAIAF,EAAAG,UAAAC,OAAAhD,EAAAuD,aAGAJ,EAAAP,EAAA5C,MAoCA0D,EAAA,SAAAb,EAAA7C,IAEAA,EAAAsD,SAGAV,EAAAC,EAAAY,WAAAX,QAAA,SAIAF,EAAAG,UAAAY,IAAA3D,EAAAuD,aAGAG,EAAAd,EAAA5C,KA8LA,OA1JA,SAAA4D,EAAAC,GAKA,IACAC,EAAAlD,EAAAmD,EAAAC,EAAAhE,EADAiE,EAAA,CAUAC,MAAA,WAEAJ,EAAArC,SAAA0C,iBAAAP,GAGAhD,EAAA,GAGAwD,MAAAC,UAAAC,QAAAC,KAAAT,EAAA,SAAAxB,GAEA,IAAAtB,EAAAS,SAAA+C,eACAC,mBAAAnC,EAAAoC,KAAAC,OAAA,KAEA3D,GAGAJ,EAAAgE,KAAA,CACA/B,IAAAP,EACAtB,QAAAA,MAKAL,EAAAC,KAMAqD,EAAAY,OAAA,WAEA,IA1EAlC,EAAA3C,EAKA4C,EAqEAkC,EAAAzC,EAAAzB,EAAAZ,GAGA8E,EASAf,GAAAe,EAAA9D,UAAA+C,EAAA/C,UAGA0B,EAAAqB,EAAA/D,GAzFAA,EA0FAA,IA1FA2C,EA0FAmC,KArFAlC,EAAAD,EAAAE,IAAAC,QAAA,SAIAF,EAAAG,UAAAY,IAAA3D,EAAAiD,UACAN,EAAA3B,QAAA+B,UAAAY,IAAA3D,EAAAkD,cAGAQ,EAAAd,EAAA5C,GAGAJ,EAAA,kBAAAgD,EAAA,CACAQ,KAAAT,EAAAE,IACA7B,QAAA2B,EAAA3B,QACAhB,SAAAA,KA0EA+D,EAAAe,GAfAf,IACArB,EAAAqB,EAAA/D,GACA+D,EAAA,OAoBA,SAAAgB,EAAA7E,GAEA8D,GACAtE,EAAAsF,qBAAAhB,GAIAA,EAAAtE,EAAAuF,sBAAAhB,EAAAY,QAOA,SAAAK,EAAAhF,GAEA8D,GACAtE,EAAAsF,qBAAAhB,GAIAA,EAAAtE,EAAAuF,sBAAA,WACAtE,EAAAC,GACAqD,EAAAY,WAOAZ,EAAAkB,QAAA,WAEApB,GACArB,EAAAqB,EAAA/D,GAIAN,EAAA0F,oBAAA,SAAAL,GAAA,GACA/E,EAAAwD,QACA9D,EAAA0F,oBAAA,SAAAF,GAAA,GAQAlF,EADAgE,EADAD,EADAD,EADAlD,EAAA,MAgCA,OApBAZ,EA3XA,WACA,IAAAqF,EAAA,GAOA,OANAjB,MAAAC,UAAAC,QAAAC,KAAAe,UAAA,SAAAC,GACA,IAAA,IAAAC,KAAAD,EAAA,CACA,IAAAA,EAAAE,eAAAD,GAAA,OACAH,EAAAG,GAAAD,EAAAC,MAGAH,EAmXAK,CAAArC,EAAAQ,GAAA,IAGAI,EAAAC,QAGAD,EAAAY,SAGAnF,EAAAiG,iBAAA,SAAAZ,GAAA,GACA/E,EAAAwD,QACA9D,EAAAiG,iBAAA,SAAAT,GAAA,GASAjB,KCrcA,IAAA2B,UAAA,KACAC,OAAA,KAEA,SAAAC,yBACA,GAAAhE,KAAAiE,MAAAF,OAAAzE,wBAAAQ,KACAiE,OAAA9C,UAAAY,IAAA,YAEAkC,OAAA9C,UAAAC,OAAA,YAIA,SAAAgD,oBAAAC,GACA,OAAAL,YAKA,GAAAK,EACAL,UAAAM,SAAA,EAAA,GAGApE,KAAAC,KAAAkE,IACAnE,KAAAiE,MAAAtE,SAAAC,gBAAAS,aAAAzC,OAAA8B,aAEAoE,UAAAM,SAAA,EAAAN,UAAAzD,cAGAV,SAAA0E,cAAA,oBAgBA,SAAApB,cAAAkB,GACAH,yBACAE,oBAAAC,GAMA,SAAAG,qBAEA,IAAAC,EACAC,GAAA,EAEA5G,OAAAiG,iBAAA,SAAA,SAAAY,GACAF,EAAA3G,OAAA8G,QAEAF,IACA5G,OAAAuF,sBAAA,WACAF,cAAAsB,GACAC,GAAA,IAGAA,GAAA,KAGA5G,OAAA+G,SAGA,SAAAC,iBACA,OAAAd,WAKA,IAAApG,QAAA,cAAA,CACAgE,QAAA,EACAmD,WAAA,EACA1D,SAAA,mBAIA,SAAAiB,QACAkC,qBACAM,iBAGA,SAAAE,OACAnF,SAAAS,KAAAuB,WAAAV,UAAAC,OAAA,SAEA6C,OAAApE,SAAA0E,cAAA,UACAP,UAAAnE,SAAA0E,cAAA,eAEAjC,QAGAzC,SAAAkE,iBAAA,mBAAAiB","file":"main.js","sourcesContent":["/*!\n * gumshoejs v5.1.2 (patched by @pradyunsg)\n * A simple, framework-agnostic scrollspy script.\n * (c) 2019 Chris Ferdinandi\n * MIT License\n * http://github.com/cferdinandi/gumshoe\n */\n\n(function (root, factory) {\n  if (typeof define === \"function\" && define.amd) {\n    define([], function () {\n      return factory(root);\n    });\n  } else if (typeof exports === \"object\") {\n    module.exports = factory(root);\n  } else {\n    root.Gumshoe = factory(root);\n  }\n})(\n  typeof global !== \"undefined\"\n    ? global\n    : typeof window !== \"undefined\"\n    ? window\n    : this,\n  function (window) {\n    \"use strict\";\n\n    //\n    // Defaults\n    //\n\n    var defaults = {\n      // Active classes\n      navClass: \"active\",\n      contentClass: \"active\",\n\n      // Nested navigation\n      nested: false,\n      nestedClass: \"active\",\n\n      // Offset & reflow\n      offset: 0,\n      reflow: false,\n\n      // Event support\n      events: true,\n    };\n\n    //\n    // Methods\n    //\n\n    /**\n     * Merge two or more objects together.\n     * @param   {Object}   objects  The objects to merge together\n     * @returns {Object}            Merged values of defaults and options\n     */\n    var extend = function () {\n      var merged = {};\n      Array.prototype.forEach.call(arguments, function (obj) {\n        for (var key in obj) {\n          if (!obj.hasOwnProperty(key)) return;\n          merged[key] = obj[key];\n        }\n      });\n      return merged;\n    };\n\n    /**\n     * Emit a custom event\n     * @param  {String} type   The event type\n     * @param  {Node}   elem   The element to attach the event to\n     * @param  {Object} detail Any details to pass along with the event\n     */\n    var emitEvent = function (type, elem, detail) {\n      // Make sure events are enabled\n      if (!detail.settings.events) return;\n\n      // Create a new event\n      var event = new CustomEvent(type, {\n        bubbles: true,\n        cancelable: true,\n        detail: detail,\n      });\n\n      // Dispatch the event\n      elem.dispatchEvent(event);\n    };\n\n    /**\n     * Get an element's distance from the top of the Document.\n     * @param  {Node} elem The element\n     * @return {Number}    Distance from the top in pixels\n     */\n    var getOffsetTop = function (elem) {\n      var location = 0;\n      if (elem.offsetParent) {\n        while (elem) {\n          location += elem.offsetTop;\n          elem = elem.offsetParent;\n        }\n      }\n      return location >= 0 ? location : 0;\n    };\n\n    /**\n     * Sort content from first to last in the DOM\n     * @param  {Array} contents The content areas\n     */\n    var sortContents = function (contents) {\n      if (contents) {\n        contents.sort(function (item1, item2) {\n          var offset1 = getOffsetTop(item1.content);\n          var offset2 = getOffsetTop(item2.content);\n          if (offset1 < offset2) return -1;\n          return 1;\n        });\n      }\n    };\n\n    /**\n     * Get the offset to use for calculating position\n     * @param  {Object} settings The settings for this instantiation\n     * @return {Float}           The number of pixels to offset the calculations\n     */\n    var getOffset = function (settings) {\n      // if the offset is a function run it\n      if (typeof settings.offset === \"function\") {\n        return parseFloat(settings.offset());\n      }\n\n      // Otherwise, return it as-is\n      return parseFloat(settings.offset);\n    };\n\n    /**\n     * Get the document element's height\n     * @private\n     * @returns {Number}\n     */\n    var getDocumentHeight = function () {\n      return Math.max(\n        document.body.scrollHeight,\n        document.documentElement.scrollHeight,\n        document.body.offsetHeight,\n        document.documentElement.offsetHeight,\n        document.body.clientHeight,\n        document.documentElement.clientHeight\n      );\n    };\n\n    /**\n     * Determine if an element is in view\n     * @param  {Node}    elem     The element\n     * @param  {Object}  settings The settings for this instantiation\n     * @param  {Boolean} bottom   If true, check if element is above bottom of viewport instead\n     * @return {Boolean}          Returns true if element is in the viewport\n     */\n    var isInView = function (elem, settings, bottom) {\n      var bounds = elem.getBoundingClientRect();\n      var offset = getOffset(settings);\n      if (bottom) {\n        return (\n          parseInt(bounds.bottom, 10) <\n          (window.innerHeight || document.documentElement.clientHeight)\n        );\n      }\n      return parseInt(bounds.top, 10) <= offset;\n    };\n\n    /**\n     * Check if at the bottom of the viewport\n     * @return {Boolean} If true, page is at the bottom of the viewport\n     */\n    var isAtBottom = function () {\n      if (\n        Math.ceil(window.innerHeight + window.pageYOffset) >=\n        getDocumentHeight()\n      )\n        return true;\n      return false;\n    };\n\n    /**\n     * Check if the last item should be used (even if not at the top of the page)\n     * @param  {Object} item     The last item\n     * @param  {Object} settings The settings for this instantiation\n     * @return {Boolean}         If true, use the last item\n     */\n    var useLastItem = function (item, settings) {\n      if (isAtBottom() && isInView(item.content, settings, true)) return true;\n      return false;\n    };\n\n    /**\n     * Get the active content\n     * @param  {Array}  contents The content areas\n     * @param  {Object} settings The settings for this instantiation\n     * @return {Object}          The content area and matching navigation link\n     */\n    var getActive = function (contents, settings) {\n      var last = contents[contents.length - 1];\n      if (useLastItem(last, settings)) return last;\n      for (var i = contents.length - 1; i >= 0; i--) {\n        if (isInView(contents[i].content, settings)) return contents[i];\n      }\n    };\n\n    /**\n     * Deactivate parent navs in a nested navigation\n     * @param  {Node}   nav      The starting navigation element\n     * @param  {Object} settings The settings for this instantiation\n     */\n    var deactivateNested = function (nav, settings) {\n      // If nesting isn't activated, bail\n      if (!settings.nested || !nav.parentNode) return;\n\n      // Get the parent navigation\n      var li = nav.parentNode.closest(\"li\");\n      if (!li) return;\n\n      // Remove the active class\n      li.classList.remove(settings.nestedClass);\n\n      // Apply recursively to any parent navigation elements\n      deactivateNested(li, settings);\n    };\n\n    /**\n     * Deactivate a nav and content area\n     * @param  {Object} items    The nav item and content to deactivate\n     * @param  {Object} settings The settings for this instantiation\n     */\n    var deactivate = function (items, settings) {\n      // Make sure there are items to deactivate\n      if (!items) return;\n\n      // Get the parent list item\n      var li = items.nav.closest(\"li\");\n      if (!li) return;\n\n      // Remove the active class from the nav and content\n      li.classList.remove(settings.navClass);\n      items.content.classList.remove(settings.contentClass);\n\n      // Deactivate any parent navs in a nested navigation\n      deactivateNested(li, settings);\n\n      // Emit a custom event\n      emitEvent(\"gumshoeDeactivate\", li, {\n        link: items.nav,\n        content: items.content,\n        settings: settings,\n      });\n    };\n\n    /**\n     * Activate parent navs in a nested navigation\n     * @param  {Node}   nav      The starting navigation element\n     * @param  {Object} settings The settings for this instantiation\n     */\n    var activateNested = function (nav, settings) {\n      // If nesting isn't activated, bail\n      if (!settings.nested) return;\n\n      // Get the parent navigation\n      var li = nav.parentNode.closest(\"li\");\n      if (!li) return;\n\n      // Add the active class\n      li.classList.add(settings.nestedClass);\n\n      // Apply recursively to any parent navigation elements\n      activateNested(li, settings);\n    };\n\n    /**\n     * Activate a nav and content area\n     * @param  {Object} items    The nav item and content to activate\n     * @param  {Object} settings The settings for this instantiation\n     */\n    var activate = function (items, settings) {\n      // Make sure there are items to activate\n      if (!items) return;\n\n      // Get the parent list item\n      var li = items.nav.closest(\"li\");\n      if (!li) return;\n\n      // Add the active class to the nav and content\n      li.classList.add(settings.navClass);\n      items.content.classList.add(settings.contentClass);\n\n      // Activate any parent navs in a nested navigation\n      activateNested(li, settings);\n\n      // Emit a custom event\n      emitEvent(\"gumshoeActivate\", li, {\n        link: items.nav,\n        content: items.content,\n        settings: settings,\n      });\n    };\n\n    /**\n     * Create the Constructor object\n     * @param {String} selector The selector to use for navigation items\n     * @param {Object} options  User options and settings\n     */\n    var Constructor = function (selector, options) {\n      //\n      // Variables\n      //\n\n      var publicAPIs = {};\n      var navItems, contents, current, timeout, settings;\n\n      //\n      // Methods\n      //\n\n      /**\n       * Set variables from DOM elements\n       */\n      publicAPIs.setup = function () {\n        // Get all nav items\n        navItems = document.querySelectorAll(selector);\n\n        // Create contents array\n        contents = [];\n\n        // Loop through each item, get it's matching content, and push to the array\n        Array.prototype.forEach.call(navItems, function (item) {\n          // Get the content for the nav item\n          var content = document.getElementById(\n            decodeURIComponent(item.hash.substr(1))\n          );\n          if (!content) return;\n\n          // Push to the contents array\n          contents.push({\n            nav: item,\n            content: content,\n          });\n        });\n\n        // Sort contents by the order they appear in the DOM\n        sortContents(contents);\n      };\n\n      /**\n       * Detect which content is currently active\n       */\n      publicAPIs.detect = function () {\n        // Get the active content\n        var active = getActive(contents, settings);\n\n        // if there's no active content, deactivate and bail\n        if (!active) {\n          if (current) {\n            deactivate(current, settings);\n            current = null;\n          }\n          return;\n        }\n\n        // If the active content is the one currently active, do nothing\n        if (current && active.content === current.content) return;\n\n        // Deactivate the current content and activate the new content\n        deactivate(current, settings);\n        activate(active, settings);\n\n        // Update the currently active content\n        current = active;\n      };\n\n      /**\n       * Detect the active content on scroll\n       * Debounced for performance\n       */\n      var scrollHandler = function (event) {\n        // If there's a timer, cancel it\n        if (timeout) {\n          window.cancelAnimationFrame(timeout);\n        }\n\n        // Setup debounce callback\n        timeout = window.requestAnimationFrame(publicAPIs.detect);\n      };\n\n      /**\n       * Update content sorting on resize\n       * Debounced for performance\n       */\n      var resizeHandler = function (event) {\n        // If there's a timer, cancel it\n        if (timeout) {\n          window.cancelAnimationFrame(timeout);\n        }\n\n        // Setup debounce callback\n        timeout = window.requestAnimationFrame(function () {\n          sortContents(contents);\n          publicAPIs.detect();\n        });\n      };\n\n      /**\n       * Destroy the current instantiation\n       */\n      publicAPIs.destroy = function () {\n        // Undo DOM changes\n        if (current) {\n          deactivate(current, settings);\n        }\n\n        // Remove event listeners\n        window.removeEventListener(\"scroll\", scrollHandler, false);\n        if (settings.reflow) {\n          window.removeEventListener(\"resize\", resizeHandler, false);\n        }\n\n        // Reset variables\n        contents = null;\n        navItems = null;\n        current = null;\n        timeout = null;\n        settings = null;\n      };\n\n      /**\n       * Initialize the current instantiation\n       */\n      var init = function () {\n        // Merge user options into defaults\n        settings = extend(defaults, options || {});\n\n        // Setup variables based on the current DOM\n        publicAPIs.setup();\n\n        // Find the currently active content\n        publicAPIs.detect();\n\n        // Setup event listeners\n        window.addEventListener(\"scroll\", scrollHandler, false);\n        if (settings.reflow) {\n          window.addEventListener(\"resize\", resizeHandler, false);\n        }\n      };\n\n      //\n      // Initialize and return the public APIs\n      //\n\n      init();\n      return publicAPIs;\n    };\n\n    //\n    // Return the Constructor\n    //\n\n    return Constructor;\n  }\n);\n","////////////////////////////////////////////////////////////////////////////////\n// Scroll Handling\n////////////////////////////////////////////////////////////////////////////////\nvar tocScroll = null;\nvar header = null;\n\nfunction scrollHandlerForHeader() {\n  if (Math.floor(header.getBoundingClientRect().top) == 0) {\n    header.classList.add(\"scrolled\");\n  } else {\n    header.classList.remove(\"scrolled\");\n  }\n}\n\nfunction scrollHandlerForTOC(positionY) {\n  if (tocScroll === null) {\n    return;\n  }\n\n  // top of page.\n  if (positionY == 0) {\n    tocScroll.scrollTo(0, 0);\n  } else if (\n    // bottom of page.\n    Math.ceil(positionY) >=\n    Math.floor(document.documentElement.scrollHeight - window.innerHeight)\n  ) {\n    tocScroll.scrollTo(0, tocScroll.scrollHeight);\n  } else {\n    // somewhere in the middle.\n    const current = document.querySelector(\".scroll-current\");\n    if (current == null) {\n      return;\n    }\n\n    // https://github.com/pypa/pip/issues/9159 This breaks scroll behaviours.\n    // // scroll the currently \"active\" heading in toc, into view.\n    // const rect = current.getBoundingClientRect();\n    // if (0 > rect.top) {\n    //   current.scrollIntoView(true); // the argument is \"alignTop\"\n    // } else if (rect.bottom > window.innerHeight) {\n    //   current.scrollIntoView(false);\n    // }\n  }\n}\n\nfunction scrollHandler(positionY) {\n  scrollHandlerForHeader();\n  scrollHandlerForTOC(positionY);\n}\n\n////////////////////////////////////////////////////////////////////////////////\n// Setup\n////////////////////////////////////////////////////////////////////////////////\nfunction setupScrollHandler() {\n  // Taken from https://developer.mozilla.org/en-US/docs/Web/API/Document/scroll_event\n  var last_known_scroll_position = 0;\n  var ticking = false;\n\n  window.addEventListener(\"scroll\", function (e) {\n    last_known_scroll_position = window.scrollY;\n\n    if (!ticking) {\n      window.requestAnimationFrame(function () {\n        scrollHandler(last_known_scroll_position);\n        ticking = false;\n      });\n\n      ticking = true;\n    }\n  });\n  window.scroll();\n}\n\nfunction setupScrollSpy() {\n  if (tocScroll === null) {\n    return;\n  }\n\n  // Scrollspy -- highlight table on contents, based on scroll\n  var spy = new Gumshoe(\".toc-tree a\", {\n    reflow: true,\n    recursive: true,\n    navClass: \"scroll-current\",\n  });\n}\n\nfunction setup() {\n  setupScrollHandler();\n  setupScrollSpy();\n}\n\nfunction main() {\n  document.body.parentNode.classList.remove(\"no-js\");\n\n  header = document.querySelector(\"header\");\n  tocScroll = document.querySelector(\".toc-scroll\");\n\n  setup();\n}\n\ndocument.addEventListener(\"DOMContentLoaded\", main);\n"]}
\ No newline at end of file
diff --git a/docs/0.10.5/html/_static/searchtools.js b/docs/0.10.5/html/_static/searchtools.js
new file mode 100644
index 000000000..e09f9263f
--- /dev/null
+++ b/docs/0.10.5/html/_static/searchtools.js
@@ -0,0 +1,522 @@
+/*
+ * searchtools.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for the full-text search.
+ *
+ * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+if (!Scorer) {
+  /**
+   * Simple result scoring code.
+   */
+  var Scorer = {
+    // Implement the following function to further tweak the score for each result
+    // The function takes a result array [filename, title, anchor, descr, score]
+    // and returns the new score.
+    /*
+    score: function(result) {
+      return result[4];
+    },
+    */
+
+    // query matches the full name of an object
+    objNameMatch: 11,
+    // or matches in the last dotted part of the object name
+    objPartialMatch: 6,
+    // Additive scores depending on the priority of the object
+    objPrio: {0:  15,   // used to be importantResults
+              1:  5,   // used to be objectResults
+              2: -5},  // used to be unimportantResults
+    //  Used when the priority is not in the mapping.
+    objPrioDefault: 0,
+
+    // query found in title
+    title: 15,
+    partialTitle: 7,
+    // query found in terms
+    term: 5,
+    partialTerm: 2
+  };
+}
+
+if (!splitQuery) {
+  function splitQuery(query) {
+    return query.split(/\s+/);
+  }
+}
+
+/**
+ * Search Module
+ */
+var Search = {
+
+  _index : null,
+  _queued_query : null,
+  _pulse_status : -1,
+
+  htmlToText : function(htmlString) {
+      var virtualDocument = document.implementation.createHTMLDocument('virtual');
+      var htmlElement = $(htmlString, virtualDocument);
+      htmlElement.find('.headerlink').remove();
+      docContent = htmlElement.find('[role=main]')[0];
+      if(docContent === undefined) {
+          console.warn("Content block not found. Sphinx search tries to obtain it " +
+                       "via '[role=main]'. Could you check your theme or template.");
+          return "";
+      }
+      return docContent.textContent || docContent.innerText;
+  },
+
+  init : function() {
+      var params = $.getQueryParameters();
+      if (params.q) {
+          var query = params.q[0];
+          $('input[name="q"]')[0].value = query;
+          this.performSearch(query);
+      }
+  },
+
+  loadIndex : function(url) {
+    $.ajax({type: "GET", url: url, data: null,
+            dataType: "script", cache: true,
+            complete: function(jqxhr, textstatus) {
+              if (textstatus != "success") {
+                document.getElementById("searchindexloader").src = url;
+              }
+            }});
+  },
+
+  setIndex : function(index) {
+    var q;
+    this._index = index;
+    if ((q = this._queued_query) !== null) {
+      this._queued_query = null;
+      Search.query(q);
+    }
+  },
+
+  hasIndex : function() {
+      return this._index !== null;
+  },
+
+  deferQuery : function(query) {
+      this._queued_query = query;
+  },
+
+  stopPulse : function() {
+      this._pulse_status = 0;
+  },
+
+  startPulse : function() {
+    if (this._pulse_status >= 0)
+        return;
+    function pulse() {
+      var i;
+      Search._pulse_status = (Search._pulse_status + 1) % 4;
+      var dotString = '';
+      for (i = 0; i < Search._pulse_status; i++)
+        dotString += '.';
+      Search.dots.text(dotString);
+      if (Search._pulse_status > -1)
+        window.setTimeout(pulse, 500);
+    }
+    pulse();
+  },
+
+  /**
+   * perform a search for something (or wait until index is loaded)
+   */
+  performSearch : function(query) {
+    // create the required interface elements
+    this.out = $('#search-results');
+    this.title = $('<h2>' + _('Searching') + '</h2>').appendTo(this.out);
+    this.dots = $('<span></span>').appendTo(this.title);
+    this.status = $('<p class="search-summary">&nbsp;</p>').appendTo(this.out);
+    this.output = $('<ul class="search"/>').appendTo(this.out);
+
+    $('#search-progress').text(_('Preparing search...'));
+    this.startPulse();
+
+    // index already loaded, the browser was quick!
+    if (this.hasIndex())
+      this.query(query);
+    else
+      this.deferQuery(query);
+  },
+
+  /**
+   * execute search (requires search index to be loaded)
+   */
+  query : function(query) {
+    var i;
+
+    // stem the searchterms and add them to the correct list
+    var stemmer = new Stemmer();
+    var searchterms = [];
+    var excluded = [];
+    var hlterms = [];
+    var tmp = splitQuery(query);
+    var objectterms = [];
+    for (i = 0; i < tmp.length; i++) {
+      if (tmp[i] !== "") {
+          objectterms.push(tmp[i].toLowerCase());
+      }
+
+      if ($u.indexOf(stopwords, tmp[i].toLowerCase()) != -1 || tmp[i] === "") {
+        // skip this "word"
+        continue;
+      }
+      // stem the word
+      var word = stemmer.stemWord(tmp[i].toLowerCase());
+      // prevent stemmer from cutting word smaller than two chars
+      if(word.length < 3 && tmp[i].length >= 3) {
+        word = tmp[i];
+      }
+      var toAppend;
+      // select the correct list
+      if (word[0] == '-') {
+        toAppend = excluded;
+        word = word.substr(1);
+      }
+      else {
+        toAppend = searchterms;
+        hlterms.push(tmp[i].toLowerCase());
+      }
+      // only add if not already in the list
+      if (!$u.contains(toAppend, word))
+        toAppend.push(word);
+    }
+    var highlightstring = '?highlight=' + $.urlencode(hlterms.join(" "));
+
+    // console.debug('SEARCH: searching for:');
+    // console.info('required: ', searchterms);
+    // console.info('excluded: ', excluded);
+
+    // prepare search
+    var terms = this._index.terms;
+    var titleterms = this._index.titleterms;
+
+    // array of [filename, title, anchor, descr, score]
+    var results = [];
+    $('#search-progress').empty();
+
+    // lookup as object
+    for (i = 0; i < objectterms.length; i++) {
+      var others = [].concat(objectterms.slice(0, i),
+                             objectterms.slice(i+1, objectterms.length));
+      results = results.concat(this.performObjectSearch(objectterms[i], others));
+    }
+
+    // lookup as search terms in fulltext
+    results = results.concat(this.performTermsSearch(searchterms, excluded, terms, titleterms));
+
+    // let the scorer override scores with a custom scoring function
+    if (Scorer.score) {
+      for (i = 0; i < results.length; i++)
+        results[i][4] = Scorer.score(results[i]);
+    }
+
+    // now sort the results by score (in opposite order of appearance, since the
+    // display function below uses pop() to retrieve items) and then
+    // alphabetically
+    results.sort(function(a, b) {
+      var left = a[4];
+      var right = b[4];
+      if (left > right) {
+        return 1;
+      } else if (left < right) {
+        return -1;
+      } else {
+        // same score: sort alphabetically
+        left = a[1].toLowerCase();
+        right = b[1].toLowerCase();
+        return (left > right) ? -1 : ((left < right) ? 1 : 0);
+      }
+    });
+
+    // for debugging
+    //Search.lastresults = results.slice();  // a copy
+    //console.info('search results:', Search.lastresults);
+
+    // print the results
+    var resultCount = results.length;
+    function displayNextItem() {
+      // results left, load the summary and display it
+      if (results.length) {
+        var item = results.pop();
+        var listItem = $('<li></li>');
+        var requestUrl = "";
+        var linkUrl = "";
+        if (DOCUMENTATION_OPTIONS.BUILDER === 'dirhtml') {
+          // dirhtml builder
+          var dirname = item[0] + '/';
+          if (dirname.match(/\/index\/$/)) {
+            dirname = dirname.substring(0, dirname.length-6);
+          } else if (dirname == 'index/') {
+            dirname = '';
+          }
+          requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + dirname;
+          linkUrl = requestUrl;
+
+        } else {
+          // normal html builders
+          requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX;
+          linkUrl = item[0] + DOCUMENTATION_OPTIONS.LINK_SUFFIX;
+        }
+        listItem.append($('<a/>').attr('href',
+            linkUrl +
+            highlightstring + item[2]).html(item[1]));
+        if (item[3]) {
+          listItem.append($('<span> (' + item[3] + ')</span>'));
+          Search.output.append(listItem);
+          setTimeout(function() {
+            displayNextItem();
+          }, 5);
+        } else if (DOCUMENTATION_OPTIONS.HAS_SOURCE) {
+          $.ajax({url: requestUrl,
+                  dataType: "text",
+                  complete: function(jqxhr, textstatus) {
+                    var data = jqxhr.responseText;
+                    if (data !== '' && data !== undefined) {
+                      listItem.append(Search.makeSearchSummary(data, searchterms, hlterms));
+                    }
+                    Search.output.append(listItem);
+                    setTimeout(function() {
+                      displayNextItem();
+                    }, 5);
+                  }});
+        } else {
+          // no source available, just display title
+          Search.output.append(listItem);
+          setTimeout(function() {
+            displayNextItem();
+          }, 5);
+        }
+      }
+      // search finished, update title and status message
+      else {
+        Search.stopPulse();
+        Search.title.text(_('Search Results'));
+        if (!resultCount)
+          Search.status.text(_('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.'));
+        else
+            Search.status.text(_('Search finished, found %s page(s) matching the search query.').replace('%s', resultCount));
+        Search.status.fadeIn(500);
+      }
+    }
+    displayNextItem();
+  },
+
+  /**
+   * search for object names
+   */
+  performObjectSearch : function(object, otherterms) {
+    var filenames = this._index.filenames;
+    var docnames = this._index.docnames;
+    var objects = this._index.objects;
+    var objnames = this._index.objnames;
+    var titles = this._index.titles;
+
+    var i;
+    var results = [];
+
+    for (var prefix in objects) {
+      for (var name in objects[prefix]) {
+        var fullname = (prefix ? prefix + '.' : '') + name;
+        var fullnameLower = fullname.toLowerCase()
+        if (fullnameLower.indexOf(object) > -1) {
+          var score = 0;
+          var parts = fullnameLower.split('.');
+          // check for different match types: exact matches of full name or
+          // "last name" (i.e. last dotted part)
+          if (fullnameLower == object || parts[parts.length - 1] == object) {
+            score += Scorer.objNameMatch;
+          // matches in last name
+          } else if (parts[parts.length - 1].indexOf(object) > -1) {
+            score += Scorer.objPartialMatch;
+          }
+          var match = objects[prefix][name];
+          var objname = objnames[match[1]][2];
+          var title = titles[match[0]];
+          // If more than one term searched for, we require other words to be
+          // found in the name/title/description
+          if (otherterms.length > 0) {
+            var haystack = (prefix + ' ' + name + ' ' +
+                            objname + ' ' + title).toLowerCase();
+            var allfound = true;
+            for (i = 0; i < otherterms.length; i++) {
+              if (haystack.indexOf(otherterms[i]) == -1) {
+                allfound = false;
+                break;
+              }
+            }
+            if (!allfound) {
+              continue;
+            }
+          }
+          var descr = objname + _(', in ') + title;
+
+          var anchor = match[3];
+          if (anchor === '')
+            anchor = fullname;
+          else if (anchor == '-')
+            anchor = objnames[match[1]][1] + '-' + fullname;
+          // add custom score for some objects according to scorer
+          if (Scorer.objPrio.hasOwnProperty(match[2])) {
+            score += Scorer.objPrio[match[2]];
+          } else {
+            score += Scorer.objPrioDefault;
+          }
+          results.push([docnames[match[0]], fullname, '#'+anchor, descr, score, filenames[match[0]]]);
+        }
+      }
+    }
+
+    return results;
+  },
+
+  /**
+   * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions
+   */
+  escapeRegExp : function(string) {
+    return string.replace(/[.*+\-?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
+  },
+
+  /**
+   * search for full-text terms in the index
+   */
+  performTermsSearch : function(searchterms, excluded, terms, titleterms) {
+    var docnames = this._index.docnames;
+    var filenames = this._index.filenames;
+    var titles = this._index.titles;
+
+    var i, j, file;
+    var fileMap = {};
+    var scoreMap = {};
+    var results = [];
+
+    // perform the search on the required terms
+    for (i = 0; i < searchterms.length; i++) {
+      var word = searchterms[i];
+      var files = [];
+      var _o = [
+        {files: terms[word], score: Scorer.term},
+        {files: titleterms[word], score: Scorer.title}
+      ];
+      // add support for partial matches
+      if (word.length > 2) {
+        var word_regex = this.escapeRegExp(word);
+        for (var w in terms) {
+          if (w.match(word_regex) && !terms[word]) {
+            _o.push({files: terms[w], score: Scorer.partialTerm})
+          }
+        }
+        for (var w in titleterms) {
+          if (w.match(word_regex) && !titleterms[word]) {
+              _o.push({files: titleterms[w], score: Scorer.partialTitle})
+          }
+        }
+      }
+
+      // no match but word was a required one
+      if ($u.every(_o, function(o){return o.files === undefined;})) {
+        break;
+      }
+      // found search word in contents
+      $u.each(_o, function(o) {
+        var _files = o.files;
+        if (_files === undefined)
+          return
+
+        if (_files.length === undefined)
+          _files = [_files];
+        files = files.concat(_files);
+
+        // set score for the word in each file to Scorer.term
+        for (j = 0; j < _files.length; j++) {
+          file = _files[j];
+          if (!(file in scoreMap))
+            scoreMap[file] = {};
+          scoreMap[file][word] = o.score;
+        }
+      });
+
+      // create the mapping
+      for (j = 0; j < files.length; j++) {
+        file = files[j];
+        if (file in fileMap && fileMap[file].indexOf(word) === -1)
+          fileMap[file].push(word);
+        else
+          fileMap[file] = [word];
+      }
+    }
+
+    // now check if the files don't contain excluded terms
+    for (file in fileMap) {
+      var valid = true;
+
+      // check if all requirements are matched
+      var filteredTermCount = // as search terms with length < 3 are discarded: ignore
+        searchterms.filter(function(term){return term.length > 2}).length
+      if (
+        fileMap[file].length != searchterms.length &&
+        fileMap[file].length != filteredTermCount
+      ) continue;
+
+      // ensure that none of the excluded terms is in the search result
+      for (i = 0; i < excluded.length; i++) {
+        if (terms[excluded[i]] == file ||
+            titleterms[excluded[i]] == file ||
+            $u.contains(terms[excluded[i]] || [], file) ||
+            $u.contains(titleterms[excluded[i]] || [], file)) {
+          valid = false;
+          break;
+        }
+      }
+
+      // if we have still a valid result we can add it to the result list
+      if (valid) {
+        // select one (max) score for the file.
+        // for better ranking, we should calculate ranking by using words statistics like basic tf-idf...
+        var score = $u.max($u.map(fileMap[file], function(w){return scoreMap[file][w]}));
+        results.push([docnames[file], titles[file], '', null, score, filenames[file]]);
+      }
+    }
+    return results;
+  },
+
+  /**
+   * helper function to return a node containing the
+   * search summary for a given text. keywords is a list
+   * of stemmed words, hlwords is the list of normal, unstemmed
+   * words. the first one is used to find the occurrence, the
+   * latter for highlighting it.
+   */
+  makeSearchSummary : function(htmlText, keywords, hlwords) {
+    var text = Search.htmlToText(htmlText);
+    var textLower = text.toLowerCase();
+    var start = 0;
+    $.each(keywords, function() {
+      var i = textLower.indexOf(this.toLowerCase());
+      if (i > -1)
+        start = i;
+    });
+    start = Math.max(start - 120, 0);
+    var excerpt = ((start > 0) ? '...' : '') +
+      $.trim(text.substr(start, 240)) +
+      ((start + 240 - text.length) ? '...' : '');
+    var rv = $('<p class="context"></p>').text(excerpt);
+    $.each(hlwords, function() {
+      rv = rv.highlightText(this, 'highlighted');
+    });
+    return rv;
+  }
+};
+
+$(document).ready(function() {
+  Search.init();
+});
diff --git a/docs/0.10.5/html/_static/styles/furo-extensions.css b/docs/0.10.5/html/_static/styles/furo-extensions.css
new file mode 100644
index 000000000..2f540c861
--- /dev/null
+++ b/docs/0.10.5/html/_static/styles/furo-extensions.css
@@ -0,0 +1,2 @@
+#furo-sidebar-ad-placement{padding:var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)}#furo-sidebar-ad-placement .ethical-sidebar{border:none;box-shadow:none;background:var(--color-background-secondary)}#furo-sidebar-ad-placement .ethical-sidebar:hover{background:var(--color-background-hover)}#furo-sidebar-ad-placement .ethical-sidebar a{color:var(--color-foreground-primary)}#furo-sidebar-ad-placement .ethical-callout a{color:var(--color-foreground-secondary)!important}button.copybtn{width:1.25rem;height:1.25rem}:root{--tabs--label-text:var(--color-foreground-muted);--tabs--label-text--active:var(--color-brand-content);--tabs--label-text--hover:var(--color-brand-content);--tabs--label-background--active:transparent;--tabs--label-background--hover:var(--color-background-secondary);--tabs--border:var(--color-background-border)}[role=main] .container{max-width:none;padding-left:0;padding-right:0}.shadow.docutils{border:none;box-shadow:0 .2rem .5rem rgba(0,0,0,.05),0 0 .0625rem rgba(0,0,0,.1)!important}.sphinx-bs .card{background-color:var(--color-background-secondary);color:var(--color-foreground)}
+/*# sourceMappingURL=furo-extensions.css.map */
diff --git a/docs/0.10.5/html/_static/styles/furo-extensions.css.map b/docs/0.10.5/html/_static/styles/furo-extensions.css.map
new file mode 100644
index 000000000..c25c69207
--- /dev/null
+++ b/docs/0.10.5/html/_static/styles/furo-extensions.css.map
@@ -0,0 +1 @@
+{"version":3,"sources":["extensions/_readthedocs.sass","furo-extensions.css","extensions/_copybutton.sass","extensions/_sphinx-inline-tabs.sass","extensions/_sphinx-panels.sass"],"names":[],"mappings":"AAGA,2BACE,mFCFF,CDGE,4CAEE,WAAA,CACA,eAAA,CAEA,4CCHJ,CDII,kDACE,wCCFN,CDII,8CACE,qCCFN,CDGE,8CACI,iDCDN,CChBA,eACE,aAAA,CACA,cDmBF,CEnBA,MACE,gDAAA,CACA,qDAAA,CACA,oDAAA,CACA,4CAAA,CACA,iEAAA,CACA,6CFsBF,CG1BA,uBACE,cAAA,CACA,cAAA,CACA,eH6BF,CG1BA,iBACE,WAAA,CACA,8EH6BF,CG1BA,iBACE,kDAAA,CACA,6BH6BF","file":"furo-extensions.css","sourcesContent":["// This file contains the styles used for tweaking how ReadTheDoc's embedded\n// contents would show up inside the theme.\n\n#furo-sidebar-ad-placement\n  padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n  .ethical-sidebar\n    // Remove the border and box-shadow.\n    border: none\n    box-shadow: none\n    // Manage the background colors.\n    background: var(--color-background-secondary)\n    &:hover\n      background: var(--color-background-hover)\n    // Ensure the text is legible.\n    a\n      color: var(--color-foreground-primary)\n  .ethical-callout a\n      color: var(--color-foreground-secondary) !important\n","#furo-sidebar-ad-placement {\n  padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal);\n}\n#furo-sidebar-ad-placement .ethical-sidebar {\n  border: none;\n  box-shadow: none;\n  background: var(--color-background-secondary);\n}\n#furo-sidebar-ad-placement .ethical-sidebar:hover {\n  background: var(--color-background-hover);\n}\n#furo-sidebar-ad-placement .ethical-sidebar a {\n  color: var(--color-foreground-primary);\n}\n#furo-sidebar-ad-placement .ethical-callout a {\n  color: var(--color-foreground-secondary) !important;\n}\n\nbutton.copybtn {\n  width: 1.25rem;\n  height: 1.25rem;\n}\n\n:root {\n  --tabs--label-text: var(--color-foreground-muted);\n  --tabs--label-text--active: var(--color-brand-content);\n  --tabs--label-text--hover: var(--color-brand-content);\n  --tabs--label-background--active: transparent;\n  --tabs--label-background--hover: var(--color-background-secondary);\n  --tabs--border: var(--color-background-border);\n}\n\n[role=main] .container {\n  max-width: initial;\n  padding-left: initial;\n  padding-right: initial;\n}\n\n.shadow.docutils {\n  border: none;\n  box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1) !important;\n}\n\n.sphinx-bs .card {\n  background-color: var(--color-background-secondary);\n  color: var(--color-foreground);\n}","button.copybtn\n  width: 1.25rem\n  height: 1.25rem\n","// This file contains styles to tweak sphinx-inline-tabs to work well with Furo.\n\n:root\n  --tabs--label-text: var(--color-foreground-muted)\n  --tabs--label-text--active: var(--color-brand-content)\n  --tabs--label-text--hover: var(--color-brand-content)\n  --tabs--label-background--active: transparent\n  --tabs--label-background--hover: var(--color-background-secondary)\n  --tabs--border: var(--color-background-border)\n","// This file contains styles to tweak sphinx-panels to work well with Furo.\n\n// sphinx-panels includes Bootstrap 4, which uses .container which can conflict\n// with docutils' `.. container::` directive.\n[role=\"main\"] .container\n  max-width: initial\n  padding-left: initial\n  padding-right: initial\n\n// Make the panels look nicer!\n.shadow.docutils\n  border: none\n  box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1) !important\n\n// Make panel colors respond to dark mode\n.sphinx-bs .card\n  background-color: var(--color-background-secondary)\n  color: var(--color-foreground)\n"]}
\ No newline at end of file
diff --git a/docs/0.10.5/html/_static/styles/furo.css b/docs/0.10.5/html/_static/styles/furo.css
new file mode 100644
index 000000000..ae9b2d601
--- /dev/null
+++ b/docs/0.10.5/html/_static/styles/furo.css
@@ -0,0 +1,2 @@
+/*! normalize.css v8.0.1 | MIT License | github.com/necolas/normalize.css */html{line-height:1.15;-webkit-text-size-adjust:100%}body{margin:0}main{display:block}h1{font-size:2em;margin:.67em 0}hr{box-sizing:content-box;height:0;overflow:visible}pre{font-family:monospace,monospace;font-size:1em}a{background-color:transparent}abbr[title]{border-bottom:none;text-decoration:underline;-webkit-text-decoration:underline dotted;text-decoration:underline dotted}b,strong{font-weight:bolder}code,kbd,samp{font-family:monospace,monospace;font-size:1em}small{font-size:80%}sub,sup{font-size:75%;line-height:0;position:relative;vertical-align:baseline}sub{bottom:-.25em}sup{top:-.5em}img{border-style:none}button,input,optgroup,select,textarea{font-family:inherit;font-size:100%;line-height:1.15;margin:0}button,input{overflow:visible}button,select{text-transform:none}[type=button],[type=reset],[type=submit],button{-webkit-appearance:button}[type=button]::-moz-focus-inner,[type=reset]::-moz-focus-inner,[type=submit]::-moz-focus-inner,button::-moz-focus-inner{border-style:none;padding:0}[type=button]:-moz-focusring,[type=reset]:-moz-focusring,[type=submit]:-moz-focusring,button:-moz-focusring{outline:1px dotted ButtonText}fieldset{padding:.35em .75em .625em}legend{box-sizing:border-box;color:inherit;display:table;max-width:100%;padding:0;white-space:normal}progress{vertical-align:baseline}textarea{overflow:auto}[type=checkbox],[type=radio]{box-sizing:border-box;padding:0}[type=number]::-webkit-inner-spin-button,[type=number]::-webkit-outer-spin-button{height:auto}[type=search]{-webkit-appearance:textfield;outline-offset:-2px}[type=search]::-webkit-search-decoration{-webkit-appearance:none}::-webkit-file-upload-button{-webkit-appearance:button;font:inherit}details{display:block}summary{display:list-item}[hidden],template{display:none}body{color:var(--color-foreground-primary);background:var(--color-background-primary)}.mobile-header .header-center a{color:var(--color-header-text);text-decoration:none}.announcement{background-color:var(--color-announcement-background);color:var(--color-announcement-text)}.sidebar-drawer{border-right:1px solid var(--color-sidebar-background-border);background:var(--color-sidebar-background)}.sidebar-brand{color:var(--color-sidebar-brand-text)}.sidebar-search-container{background:var(--color-sidebar-search-background)}.sidebar-search-container:focus-within,.sidebar-search-container:hover{background:var(--color-sidebar-search-background--focus)}.sidebar-search-container:before{background-color:var(--color-sidebar-search-icon);-webkit-mask-image:var(--icon-search);mask-image:var(--icon-search)}.sidebar-search{border:none;border-top:1px solid var(--color-sidebar-search-border);border-bottom:1px solid var(--color-sidebar-search-border)}.sidebar-tree .icon,.sidebar-tree .reference{color:var(--color-sidebar-link-text)}.sidebar-tree .reference{text-decoration:none}.sidebar-tree .reference:hover{background:var(--color-sidebar-item-background--hover)}.sidebar-tree .reference.external:after{color:var(--color-sidebar-link-text)}.sidebar-tree .caption,.sidebar-tree .caption-text{color:var(--color-sidebar-caption-text)}.sidebar-tree .toctree-l1>.reference,.sidebar-tree .toctree-l1>label .icon{color:var(--color-sidebar-link-text--top-level)}.sidebar-tree label{background:var(--color-sidebar-item-expander-background)}.sidebar-tree label:hover{background:var(--color-sidebar-item-expander-background--hover)}.sidebar-tree .current>.reference{background:var(--color-sidebar-item-background--current)}.sidebar-tree .current>.reference:hover{background:var(--color-sidebar-item-background--hover)}.toc-drawer{background:var(--color-toc-background)}.toc-title{color:var(--color-toc-title-text)}.toc-tree{border-left:1px solid var(--color-background-border)}.toc-tree .reference{text-decoration:none;color:var(--color-toc-item-text)}.toc-tree .scroll-current>.reference{color:var(--color-toc-item-text--active)}article{color:var(--color-content-foreground);background:var(--color-content-background)}a{text-decoration:underline;color:var(--color-link);-webkit-text-decoration-color:var(--color-link-underline);text-decoration-color:var(--color-link-underline)}a:hover{color:var(--color-link--hover);-webkit-text-decoration-color:var(--color-link-underline--hover);text-decoration-color:var(--color-link-underline--hover)}a.muted-link{text-decoration:none}a.muted-link:hover{text-decoration:underline;color:var(--color-link);-webkit-text-decoration-color:var(--color-link-underline);text-decoration-color:var(--color-link-underline)}.problematic{color:var(--color-problematic)}.only-light{display:block!important}.only-dark{display:none!important}@media (prefers-color-scheme:dark){.only-light{display:none!important}.only-dark{display:block!important}}html{font-family:var(--font-stack)}code,kbd,pre,samp{font-family:var(--font-stack--monospace)}body{-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}article{line-height:1.5}h1{font-size:2.25rem}h2{font-size:1.75rem}h3{font-size:1.25rem}h4{font-size:1rem}h5{font-size:.875rem}h6{font-size:.75rem}h1,h2{margin-bottom:1rem;font-weight:300}h1,h2,h3{margin-top:1.5rem}h3{margin-bottom:.75rem;font-weight:400}h4,h5,h6{text-transform:uppercase;margin-top:1rem;margin-bottom:.5rem;font-weight:700}p{margin-top:.75rem;margin-bottom:.75rem}hr.docutils{height:1px;padding:0;margin:2rem 0;background-color:var(--color-background-border);border:0}.centered{text-align:center}:root{--font-stack:-apple-system,BlinkMacSystemFont,Segoe UI,Helvetica,Arial,sans-serif,Apple Color Emoji,Segoe UI Emoji;--font-stack--monospace:"SFMono-Regular",Menlo,Consolas,Monaco,Liberation Mono,Lucida Console,monospace;--font-size--normal:100%;--font-size--small:87.5%;--font-size--small--2:81.25%;--font-size--small--3:75%;--font-size--small--4:62.5%;--sidebar-caption-font-size:var(--font-size--small--2);--sidebar-item-font-size:var(--font-size--small);--sidebar-search-input-font-size:var(--font-size--small);--toc-font-size:var(--font-size--small--3);--toc-font-size--mobile:var(--font-size--normal);--toc-title-font-size:var(--font-size--small--4);--admonition-font-size:0.8125rem;--admonition-title-font-size:0.8125rem;--code-font-size:var(--font-size--small--2);--header-height:calc(var(--sidebar-item-line-height) + var(--sidebar-item-spacing-vertical)*4);--sidebar-tree-space-above:1.5rem;--sidebar-caption-space-above:1rem;--sidebar-item-line-height:1rem;--sidebar-item-spacing-vertical:0.5rem;--sidebar-item-spacing-horizontal:1rem;--sidebar-item-height:calc(var(--sidebar-item-line-height) + var(--sidebar-item-spacing-vertical)*2);--sidebar-expander-width:var(--sidebar-item-height);--sidebar-search-space-above:0.5rem;--sidebar-search-input-spacing-vertical:0.5rem;--sidebar-search-input-spacing-horizontal:0.5rem;--sidebar-search-input-height:1rem;--sidebar-search-icon-size:var(--sidebar-search-input-height);--toc-title-padding:0.25rem 0;--toc-spacing-vertical:1.5rem;--toc-spacing-horizontal:1.5rem;--toc-item-spacing-vertical:0.4rem;--toc-item-spacing-horizontal:1rem;--icon-search:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path d="M0 0h24v24H0z" stroke="none"/><circle cx="10" cy="10" r="7"/><path d="M21 21l-6-6"/></svg>');--icon-pencil:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25z"/></svg>');--icon-abstract:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M4 5h16v2H4V5m0 4h16v2H4V9m0 4h16v2H4v-2m0 4h10v2H4v-2z"/></svg>');--icon-info:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M13 9h-2V7h2m0 10h-2v-6h2m-1-9A10 10 0 002 12a10 10 0 0010 10 10 10 0 0010-10A10 10 0 0012 2z"/></svg>');--icon-flame:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M17.55 11.2c-.23-.3-.5-.56-.76-.82-.65-.6-1.4-1.03-2.03-1.66C13.3 7.26 13 4.85 13.91 3c-.91.23-1.75.75-2.45 1.32-2.54 2.08-3.54 5.75-2.34 8.9.04.1.08.2.08.33 0 .22-.15.42-.35.5-.22.1-.46.04-.64-.12a.83.83 0 01-.15-.17c-1.1-1.43-1.28-3.48-.53-5.12C5.89 10 5 12.3 5.14 14.47c.04.5.1 1 .27 1.5.14.6.4 1.2.72 1.73 1.04 1.73 2.87 2.97 4.84 3.22 2.1.27 4.35-.12 5.96-1.6 1.8-1.66 2.45-4.32 1.5-6.6l-.13-.26c-.2-.46-.47-.87-.8-1.25l.05-.01m-3.1 6.3c-.28.24-.73.5-1.08.6-1.1.4-2.2-.16-2.87-.82 1.19-.28 1.89-1.16 2.09-2.05.17-.8-.14-1.46-.27-2.23-.12-.74-.1-1.37.18-2.06.17.38.37.76.6 1.06.76 1 1.95 1.44 2.2 2.8.04.14.06.28.06.43.03.82-.32 1.72-.92 2.27h.01z"/></svg>');--icon-question:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M15.07 11.25l-.9.92C13.45 12.89 13 13.5 13 15h-2v-.5c0-1.11.45-2.11 1.17-2.83l1.24-1.26c.37-.36.59-.86.59-1.41a2 2 0 00-2-2 2 2 0 00-2 2H8a4 4 0 014-4 4 4 0 014 4 3.2 3.2 0 01-.93 2.25M13 19h-2v-2h2M12 2A10 10 0 002 12a10 10 0 0010 10 10 10 0 0010-10c0-5.53-4.5-10-10-10z"/></svg>');--icon-warning:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M13 14h-2v-4h2m0 8h-2v-2h2M1 21h22L12 2 1 21z"/></svg>');--icon-failure:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 2c5.53 0 10 4.47 10 10s-4.47 10-10 10S2 17.53 2 12 6.47 2 12 2m3.59 5L12 10.59 8.41 7 7 8.41 10.59 12 7 15.59 8.41 17 12 13.41 15.59 17 17 15.59 13.41 12 17 8.41 15.59 7z"/></svg>');--icon-spark:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M11.5 20l4.86-9.73H13V4l-5 9.73h3.5V20M12 2c2.75 0 5.1 1 7.05 2.95C21 6.9 22 9.25 22 12s-1 5.1-2.95 7.05C17.1 21 14.75 22 12 22s-5.1-1-7.05-2.95C3 17.1 2 14.75 2 12s1-5.1 2.95-7.05C6.9 3 9.25 2 12 2z"/></svg>');--icon-admonition-default:var(--icon-abstract);--color-problematic:#b30000;--color-foreground-primary:#000;--color-foreground-secondary:#5a5c63;--color-foreground-muted:#72747e;--color-foreground-border:#878787;--color-background-primary:#fff;--color-background-secondary:#f8f9fb;--color-background-hover:#efeff4;--color-background-hover--transparent:rgba(239,239,244,0);--color-background-border:#eeebee;--color-announcement-background:rgba(0,0,0,0.8666666666666667);--color-announcement-text:#eeebee;--color-brand-primary:#2962ff;--color-brand-content:#2a5adf;--color-api-overall:var(--color-foreground-muted);--color-api-name:var(--color-brand-content);--color-api-pre-name:var(--color-brand-content);--color-api-paren:var(--color-foreground-secondary);--color-api-keyword:var(--color-problematic);--color-api-highlight-on-target:#ffc;--color-inline-code-background:var(--color-background-secondary);--color-highlighted-background:#def;--color-highlighted-text:var(--color-foreground-primary);--color-guilabel-background:rgba(221,238,255,0.5019607843137255);--color-guilabel-border:rgba(190,218,245,0.5019607843137255);--color-guilabel-text:var(--color-foreground-primary);--color-admonition-background:transparent;--color-admonition-title:#651fff;--color-admonition-title-background:rgba(101,31,255,0.1);--color-admonition-title--caution:#ff9100;--color-admonition-title-background--caution:rgba(255,145,0,0.1);--color-admonition-title--warning:#ff9100;--color-admonition-title-background--warning:rgba(255,145,0,0.1);--color-admonition-title--danger:#ff5252;--color-admonition-title-background--danger:rgba(255,82,82,0.1);--color-admonition-title--attention:#ff5252;--color-admonition-title-background--attention:rgba(255,82,82,0.1);--color-admonition-title--error:#ff5252;--color-admonition-title-background--error:rgba(255,82,82,0.1);--color-admonition-title--hint:#00c852;--color-admonition-title-background--hint:rgba(0,200,82,0.1);--color-admonition-title--important:#00bfa5;--color-admonition-title-background--important:rgba(0,191,165,0.1);--color-admonition-title--note:#00b0ff;--color-admonition-title-background--note:rgba(0,176,255,0.1);--color-admonition-title--seealso:#448aff;--color-admonition-title-background--seealso:rgba(68,138,255,0.1);--color-admonition-title--tip:#00c852;--color-admonition-title-background--tip:rgba(0,200,82,0.1);--color-admonition-title--admonition-todo:grey;--color-admonition-title-background--admonition-todo:hsla(0,0%,50.2%,0.1);--color-header-background:var(--color-background-primary);--color-header-border:var(--color-background-border);--color-header-text:var(--color-foreground-primary);--color-sidebar-background:var(--color-background-secondary);--color-sidebar-background-border:var(--color-background-border);--color-sidebar-brand-text:var(--color-foreground-primary);--color-sidebar-caption-text:var(--color-foreground-muted);--color-sidebar-link-text:var(--color-foreground-secondary);--color-sidebar-link-text--top-level:var(--color-brand-primary);--color-sidebar-item-background:var(--color-sidebar-background);--color-sidebar-item-background--current:var(--color-sidebar-item-background);--color-sidebar-item-background--hover:linear-gradient(90deg,var(--color-background-hover--transparent),var(--color-background-hover) var(--sidebar-item-spacing-horizontal),var(--color-background-hover));--color-sidebar-item-expander-background:transparent;--color-sidebar-item-expander-background--hover:var(--color-background-hover);--color-sidebar-search-text:var(--color-foreground-primary);--color-sidebar-search-background:var(--color-background-secondary);--color-sidebar-search-background--focus:var(--color-background-primary);--color-sidebar-search-border:var(--color-background-border);--color-sidebar-search-icon:var(--color-foreground-muted);--color-toc-background:var(--color-background-primary);--color-toc-title-text:var(--color-foreground-muted);--color-toc-item-text:var(--color-foreground-secondary);--color-toc-item-text--hover:var(--color-foreground-primary);--color-toc-item-text--active:var(--color-brand-primary);--color-content-foreground:var(--color-foreground-primary);--color-content-background:transparent;--color-link:var(--color-brand-content);--color-link--hover:var(--color-brand-content);--color-link-underline:var(--color-background-border);--color-link-underline--hover:var(--color-foreground-border)}@media (prefers-color-scheme:dark){:root{--color-problematic:#e25050;--color-foreground-primary:hsla(0,0%,100%,0.8509803921568627);--color-foreground-secondary:#9ca0a5;--color-foreground-muted:#81868d;--color-foreground-border:#666;--color-background-primary:#131416;--color-background-secondary:#1a1c1e;--color-background-hover:#1e2124;--color-background-hover--transparent:rgba(30,33,36,0);--color-background-border:#303335;--color-announcement-background:rgba(0,0,0,0.8666666666666667);--color-announcement-text:#eeebee;--color-brand-primary:#2b8cee;--color-brand-content:#368ce2;--color-highlighted-background:#083563;--color-guilabel-background:rgba(8,53,99,0.5019607843137255);--color-guilabel-border:rgba(19,57,95,0.5019607843137255);--color-api-highlight-on-target:#330;--color-admonition-background:#18181a}}html{overflow-x:hidden;overflow-y:scroll}:not(html):not(body){scrollbar-width:thin;scrollbar-color:var(--color-foreground-border) transparent}:not(html):not(body)::-webkit-scrollbar{width:.25rem;height:.25rem}:not(html):not(body)::-webkit-scrollbar-thumb{background-color:var(--color-foreground-border);border-radius:.125rem}body,html{height:100%}.page{display:flex;min-height:100%}.mobile-header{width:100%;height:var(--header-height);background-color:var(--color-header-background);color:var(--color-header-text);border-bottom:1px solid var(--color-header-border);z-index:10;display:none}.mobile-header.scrolled{border-bottom:none;box-shadow:0 0 .2rem rgba(0,0,0,.1),0 .2rem .4rem rgba(0,0,0,.2)}.main{display:flex;flex:1}.sidebar-drawer{box-sizing:border-box;display:flex;justify-content:flex-end;width:calc(50% - 26em);min-width:15em}.sidebar-container,.toc-drawer{box-sizing:border-box;width:15em}.toc-drawer{padding-right:1rem}.sidebar-sticky,.toc-sticky{position:sticky;top:0;height:min(100%,100vh);height:100vh;display:flex;flex-direction:column}.sidebar-scroll,.toc-scroll{flex-shrink:1;overflow:auto;scroll-behavior:smooth}.content{padding:0 3em;width:46em;display:flex;flex-direction:column;justify-content:space-between}.icon{display:inline-block;height:1rem;width:1rem}.icon svg{width:100%;height:100%}.announcement{height:var(--header-height);display:flex;align-items:center;overflow-x:auto}.announcement+.page{min-height:calc(100% - var(--header-height))}.announcement-content{box-sizing:border-box;padding:.5rem;min-width:100%;white-space:nowrap;text-align:center}.nav-overlay-icon,.toc-overlay-icon{display:none;cursor:pointer}.nav-overlay-icon .icon,.toc-overlay-icon .icon{color:var(--color-foreground-secondary);height:1.25rem;width:1.25rem}.nav-overlay-icon,.toc-header-icon{justify-content:center;align-items:center}.toc-content-icon{height:1.5rem;width:1.5rem;margin-top:1.5rem;float:right}.sidebar-toggle{position:absolute;display:none}.sidebar-toggle[name=__toc]{left:20px}.sidebar-toggle:checked{left:40px}.overlay{position:fixed;top:0;width:0;height:0;transition:width 0ms,height 0ms,opacity .25s ease-out;opacity:0;background-color:rgba(0,0,0,.54)}.sidebar-overlay{z-index:20}.toc-overlay{z-index:40}.sidebar-drawer{z-index:30;transition:left .25s ease-in-out}.toc-drawer{z-index:50;transition:right .25s ease-in-out}#__navigation:checked~.sidebar-overlay{width:100%;height:100%;opacity:1}#__navigation:checked~.page .sidebar-drawer{top:0;left:0}#__toc:checked~.toc-overlay{width:100%;height:100%;opacity:1}#__toc:checked~.page .toc-drawer{top:0;right:0}@media (min-width:97em){html{font-size:110%}}@media (max-width:82em){.toc-content-icon{display:flex}.toc-drawer{position:fixed;height:100vh;top:0;right:-15em;border-left:1px solid var(--color-background-muted)}.toc-tree{border-left:none;font-size:var(--toc-font-size--mobile)}.sidebar-drawer{width:calc(50% - 18.5em)}}@media (max-width:67em){.nav-overlay-icon{display:flex}.sidebar-drawer{position:fixed;height:100vh;width:15em;top:0;left:-15em}.toc-header-icon{display:flex}.toc-content-icon{display:none}.mobile-header{position:sticky;top:0;display:flex;justify-content:space-between;align-items:center}.mobile-header .header-left,.mobile-header .header-right{display:flex;height:var(--header-height);width:var(--header-height)}.mobile-header .header-left label,.mobile-header .header-right label{height:100%;width:100%}:target{scroll-margin-top:var(--header-height)}.page{flex-direction:column;justify-content:center}.content{margin-left:auto;margin-right:auto}}@media (max-width:52em){.content{width:100%;overflow-x:auto}}@media (max-width:46em){.content{padding:0 1em}article div.sidebar{float:none;width:100%;margin:1rem 0}}.admonition{margin:1rem auto;padding:0 .5rem .5rem;background:var(--color-admonition-background);border-radius:.2rem;border-left:.2rem solid var(--color-admonition-title);box-shadow:0 .2rem .5rem rgba(0,0,0,.05),0 0 .0625rem rgba(0,0,0,.1);font-size:var(--admonition-font-size);overflow:hidden;page-break-inside:avoid}.admonition>:nth-child(2){margin-top:0}.admonition>:last-child{margin-bottom:0}.admonition p.admonition-title{position:relative;margin:0 -.5rem .5rem;padding:.5rem .5rem .5rem 2rem;font-weight:500;font-size:var(--admonition-title-font-size);background-color:var(--color-admonition-title-background);line-height:1.3}.admonition p.admonition-title:before{content:"";position:absolute;left:.5rem;width:1rem;height:1rem;background-color:var(--color-admonition-title);-webkit-mask-image:var(--icon-admonition-default);mask-image:var(--icon-admonition-default);-webkit-mask-repeat:no-repeat;mask-repeat:no-repeat}.admonition.caution{border-left-color:var(--color-admonition-title--caution)}.admonition.caution>.admonition-title{background-color:var(--color-admonition-title-background--caution)}.admonition.caution>.admonition-title:before{background-color:var(--color-admonition-title--caution);-webkit-mask-image:var(--icon-spark);mask-image:var(--icon-spark)}.admonition.warning{border-left-color:var(--color-admonition-title--warning)}.admonition.warning>.admonition-title{background-color:var(--color-admonition-title-background--warning)}.admonition.warning>.admonition-title:before{background-color:var(--color-admonition-title--warning);-webkit-mask-image:var(--icon-warning);mask-image:var(--icon-warning)}.admonition.danger{border-left-color:var(--color-admonition-title--danger)}.admonition.danger>.admonition-title{background-color:var(--color-admonition-title-background--danger)}.admonition.danger>.admonition-title:before{background-color:var(--color-admonition-title--danger);-webkit-mask-image:var(--icon-spark);mask-image:var(--icon-spark)}.admonition.attention{border-left-color:var(--color-admonition-title--attention)}.admonition.attention>.admonition-title{background-color:var(--color-admonition-title-background--attention)}.admonition.attention>.admonition-title:before{background-color:var(--color-admonition-title--attention);-webkit-mask-image:var(--icon-warning);mask-image:var(--icon-warning)}.admonition.error{border-left-color:var(--color-admonition-title--error)}.admonition.error>.admonition-title{background-color:var(--color-admonition-title-background--error)}.admonition.error>.admonition-title:before{background-color:var(--color-admonition-title--error);-webkit-mask-image:var(--icon-failure);mask-image:var(--icon-failure)}.admonition.hint{border-left-color:var(--color-admonition-title--hint)}.admonition.hint>.admonition-title{background-color:var(--color-admonition-title-background--hint)}.admonition.hint>.admonition-title:before{background-color:var(--color-admonition-title--hint);-webkit-mask-image:var(--icon-question);mask-image:var(--icon-question)}.admonition.important{border-left-color:var(--color-admonition-title--important)}.admonition.important>.admonition-title{background-color:var(--color-admonition-title-background--important)}.admonition.important>.admonition-title:before{background-color:var(--color-admonition-title--important);-webkit-mask-image:var(--icon-flame);mask-image:var(--icon-flame)}.admonition.note{border-left-color:var(--color-admonition-title--note)}.admonition.note>.admonition-title{background-color:var(--color-admonition-title-background--note)}.admonition.note>.admonition-title:before{background-color:var(--color-admonition-title--note);-webkit-mask-image:var(--icon-pencil);mask-image:var(--icon-pencil)}.admonition.seealso{border-left-color:var(--color-admonition-title--seealso)}.admonition.seealso>.admonition-title{background-color:var(--color-admonition-title-background--seealso)}.admonition.seealso>.admonition-title:before{background-color:var(--color-admonition-title--seealso);-webkit-mask-image:var(--icon-info);mask-image:var(--icon-info)}.admonition.tip{border-left-color:var(--color-admonition-title--tip)}.admonition.tip>.admonition-title{background-color:var(--color-admonition-title-background--tip)}.admonition.tip>.admonition-title:before{background-color:var(--color-admonition-title--tip);-webkit-mask-image:var(--icon-info);mask-image:var(--icon-info)}.admonition.admonition-todo{border-left-color:var(--color-admonition-title--admonition-todo)}.admonition.admonition-todo>.admonition-title{background-color:var(--color-admonition-title-background--admonition-todo)}.admonition.admonition-todo>.admonition-title:before{background-color:var(--color-admonition-title--admonition-todo);-webkit-mask-image:var(--icon-pencil);mask-image:var(--icon-pencil)}.admonition-todo>.admonition-title{text-transform:uppercase}dl.c dd,dl.cpp dd,dl.js dd,dl.py dd{margin-left:2rem}dl.c dd>:first-child,dl.cpp dd>:first-child,dl.js dd>:first-child,dl.py dd>:first-child{margin-top:.125rem}dl.c dd>:last-child,dl.cpp dd>:last-child,dl.js dd>:last-child,dl.py dd>:last-child{margin-bottom:1.25rem}dl.c .field-list,dl.cpp .field-list,dl.js .field-list,dl.py .field-list{margin-bottom:.75rem}dl.c .field-list dt,dl.cpp .field-list dt,dl.js .field-list dt,dl.py .field-list dt{text-transform:uppercase;font-size:var(--font-size--small)}dl.c .field-list dd:empty,dl.cpp .field-list dd:empty,dl.js .field-list dd:empty,dl.py .field-list dd:empty{margin-bottom:.5rem}dl.c .field-list dd>ul,dl.cpp .field-list dd>ul,dl.js .field-list dd>ul,dl.py .field-list dd>ul{margin-left:-1.2rem}dl.c .field-list dd>ul>li>p:nth-child(2),dl.cpp .field-list dd>ul>li>p:nth-child(2),dl.js .field-list dd>ul>li>p:nth-child(2),dl.py .field-list dd>ul>li>p:nth-child(2){margin-top:0}dl.c .field-list dd>ul>li>p+p:last-child:empty,dl.cpp .field-list dd>ul>li>p+p:last-child:empty,dl.js .field-list dd>ul>li>p+p:last-child:empty,dl.py .field-list dd>ul>li>p+p:last-child:empty{margin-top:0;margin-bottom:0}dl.c>dt,dl.cpp>dt,dl.js>dt,dl.py>dt{color:var(--color-api-overall)}dl.c>dt:target,dl.cpp>dt:target,dl.js>dt:target,dl.py>dt:target{background-color:var(--color-api-highlight-on-target)}dl.class>dt,dl.enum-class>dt,dl.enum-struct>dt,dl.enum>dt,dl.exception>dt,dl.function>dt,dl.method>dt,dl.type>dt{padding-left:3em;text-indent:-3em}dl.class>dt .property,dl.enum-class>dt .property,dl.enum-struct>dt .property,dl.enum>dt .property,dl.exception>dt .property,dl.function>dt .property,dl.method>dt .property,dl.type>dt .property{color:var(--color-api-keyword);padding-right:.25rem}dl.class>dt a.reference.internal .viewcode-link,dl.enum-class>dt a.reference.internal .viewcode-link,dl.enum-struct>dt a.reference.internal .viewcode-link,dl.enum>dt a.reference.internal .viewcode-link,dl.exception>dt a.reference.internal .viewcode-link,dl.function>dt a.reference.internal .viewcode-link,dl.method>dt a.reference.internal .viewcode-link,dl.type>dt a.reference.internal .viewcode-link{width:3.5rem;font-size:var(--font-size--small)}.sig-name{font-weight:700;color:var(--color-api-name)}.sig-prename{color:var(--color-api-pre-name)}.sig-paren{color:var(--color-api-paren)}.sig-param{font-style:normal}.versionmodified{font-style:italic}div.deprecated p,div.versionadded p,div.versionchanged p{margin-top:.125rem;margin-bottom:.125rem}.viewcode-back,.viewcode-link{float:right;text-align:right}.code-block-caption,article p.caption,table>caption{font-size:var(--font-size--small);text-align:center}.toctree-wrapper.compound .caption,.toctree-wrapper.compound :not(.caption)>.caption-text{font-size:var(--font-size--small);text-transform:uppercase;text-align:initial;margin-bottom:0}.toctree-wrapper.compound>ul{margin-top:0;margin-bottom:0}code.literal{background:var(--color-inline-code-background);border-radius:.2em;font-size:var(--font-size--small--2);padding:.1em .2em}article div[class*=" highlight-"],article div[class^=highlight-]{margin:1em 0;display:flex}pre{margin:0;padding:0}article pre{line-height:1.5}.highlight pre,pre.literal-block{font-size:var(--code-font-size);padding:.625rem .875rem;overflow:auto}pre.literal-block{margin-top:1rem;margin-bottom:1rem;border-radius:.2rem;background-color:var(--color-code-background);color:var(--color-code-foreground)}.highlight{width:100%;border-radius:.2rem}.highlighttable{width:100%;display:block}.highlighttable tbody{display:block}.highlighttable tr{display:flex}.highlighttable td.linenos{background-color:var(--color-code-background);color:var(--color-code-foreground);padding:.625rem 0 .625rem .875rem;border-top-left-radius:.2rem;border-bottom-left-radius:.2rem}.highlighttable .linenodiv{font-size:var(--code-font-size);padding-right:.5rem;box-shadow:-.0625rem 0 var(--color-code-foreground) inset;opacity:.5}.highlighttable td.code{padding:0;display:block;flex:1;overflow:hidden}.highlighttable td.code .highlight{border-top-left-radius:0;border-bottom-left-radius:0}.footnote-reference{font-size:var(--font-size--small--4);vertical-align:super}dl.footnote{font-size:var(--font-size--small);color:var(--color-foreground-secondary);display:grid;grid-template-columns:-webkit-max-content auto;grid-template-columns:max-content auto}dl.footnote dt{margin:0}dl.footnote dt>.fn-backref{margin-left:.25rem}dl.footnote dt:after{content:":"}dl.footnote dt .brackets:before{content:"["}dl.footnote dt .brackets:after{content:"]"}img{box-sizing:border-box;max-width:100%;height:auto}article .figure,article figure{border-radius:.2rem;margin:0}article .figure :last-child,article figure :last-child{margin-bottom:0}article .align-left{float:left;clear:left;margin:0 1rem 1rem}article .align-right{float:right;clear:right;margin:0 1rem 1rem}article .align-center,article .align-default{display:block;text-align:center;margin-left:auto;margin-right:auto}.domainindex-jumpbox,.genindex-jumpbox{border-top:1px solid var(--color-background-border);border-bottom:1px solid var(--color-background-border);padding:.25rem}.domainindex-section h2,.genindex-section h2{margin-top:.75rem;margin-bottom:.5rem}.domainindex-section ul,.genindex-section ul{margin-top:0;margin-bottom:0}ol,ul{padding-left:1.2rem;margin-top:1rem;margin-bottom:1rem}ol li>p:first-child,ul li>p:first-child{margin-top:.25rem;margin-bottom:.25rem}ol li>p:last-child,ul li>p:last-child{margin-top:.25rem}ol li>ol,ol li>ul,ul li>ol,ul li>ul{margin-top:.5rem;margin-bottom:.5rem}.simple li>ol,.simple li>ul,.toctree-wrapper li>ol,.toctree-wrapper li>ul{margin-top:0;margin-bottom:0}.field-list dt,.option-list dt,dl.footnote dt,dl.glossary dt,dl.simple dt,dl:not([class]) dt{font-weight:500;margin-top:.25rem}.field-list dt+dt,.option-list dt+dt,dl.footnote dt+dt,dl.glossary dt+dt,dl.simple dt+dt,dl:not([class]) dt+dt{margin-top:0}.field-list dt .classifier:before,.option-list dt .classifier:before,dl.footnote dt .classifier:before,dl.glossary dt .classifier:before,dl.simple dt .classifier:before,dl:not([class]) dt .classifier:before{content:":";margin-left:.2rem;margin-right:.2rem}.field-list dd>p:first-child,.field-list dd ul,.option-list dd>p:first-child,.option-list dd ul,dl.footnote dd>p:first-child,dl.footnote dd ul,dl.glossary dd>p:first-child,dl.glossary dd ul,dl.simple dd>p:first-child,dl.simple dd ul,dl:not([class]) dd>p:first-child,dl:not([class]) dd ul{margin-top:.125rem}.field-list dd ul,.option-list dd ul,dl.footnote dd ul,dl.glossary dd ul,dl.simple dd ul,dl:not([class]) dd ul{margin-bottom:.125rem}.math-wrapper{width:100%;overflow-x:auto}abbr[title]{cursor:help}kbd:not(.compound){margin:0 .2rem;padding:0 .2rem;border-radius:.2rem;border:1px solid var(--color-foreground-border);color:var(--color-foreground-primary);vertical-align:text-bottom;font-size:var(--font-size--small--3);display:inline-block;box-shadow:0 .0625rem 0 rgba(0,0,0,.2),inset 0 0 0 .125rem var(--color-background-primary);background-color:var(--color-background-secondary)}blockquote{border-left:1px solid var(--color-foreground-border);font-style:italic;margin-left:.5rem;margin-right:.5rem;padding:.5rem 1rem}.reference img{vertical-align:middle}.code-block-caption>.headerlink,dl dt>.headerlink,h1>.headerlink,h2>.headerlink,h3>.headerlink,h4>.headerlink,h5>.headerlink,h6>.headerlink,p.caption>.headerlink,table>caption>.headerlink{font-weight:100;margin-left:.5rem;visibility:hidden;text-decoration:none}.code-block-caption:hover>.headerlink,:target>h1:first-child>.headerlink,:target>h2:first-child>.headerlink,:target>h3:first-child>.headerlink,:target>h4:first-child>.headerlink,:target>h5:first-child>.headerlink,:target>h6:first-child>.headerlink,dl dt:hover>.headerlink,h1:hover>.headerlink,h2:hover>.headerlink,h3:hover>.headerlink,h4:hover>.headerlink,h5:hover>.headerlink,h6:hover>.headerlink,p.caption:hover>.headerlink,table>caption:hover>.headerlink{visibility:visible}p.rubric{text-transform:uppercase;font-size:var(--font-size--small)}article .sidebar{float:right;clear:right;width:30%;margin-left:1rem;margin-right:0;border-radius:.2rem;background-color:var(--color-background-secondary);border:1px solid var(--color-background-border)}article .sidebar>*{padding-left:1rem;padding-right:1rem}article .sidebar>ol,article .sidebar>ul{padding-left:2.2rem}article .sidebar .sidebar-title{margin:0;padding:.5rem 1rem;border-bottom:1px solid var(--color-background-border);font-weight:500}.table-wrapper{width:100%;overflow-x:auto;margin-top:1rem;margin-bottom:.5rem;padding:.2rem .2rem .75rem}table.docutils{border-radius:.2rem;border-spacing:0;border-collapse:collapse;box-shadow:0 .2rem .5rem rgba(0,0,0,.05),0 0 .0625rem rgba(0,0,0,.1)}table.docutils th{background:var(--color-background-secondary)}table.docutils td,table.docutils th{padding:0 .25rem;border-left:1px solid var(--color-background-border);border-right:1px solid var(--color-background-border);border-bottom:1px solid var(--color-background-border)}table.docutils td p,table.docutils th p{margin:.25rem}table.docutils td:first-child,table.docutils th:first-child{border-left:none}table.docutils td:last-child,table.docutils th:last-child{border-right:none}.guilabel{background-color:var(--color-guilabel-background);border:1px solid var(--color-guilabel-border);color:var(--color-guilabel-text);padding:0 .3em;border-radius:.5em;font-size:.9em}footer{font-size:var(--font-size--small);display:flex;flex-direction:column;margin-top:2rem}.related-information{margin-top:1rem;padding:.75rem .75rem 1rem;border-top:1px solid var(--color-background-border);line-height:1.5;color:var(--color-foreground-secondary)}.related-pages a{display:flex;align-items:center;text-decoration:none}.related-pages a:hover .page-info .title{text-decoration:underline;color:var(--color-link);-webkit-text-decoration-color:var(--color-link-underline);text-decoration-color:var(--color-link-underline)}.related-pages a svg,.related-pages a svg>use{flex-shrink:0;color:var(--color-foreground-border);width:.75rem;height:.75rem;margin:0 .5rem}.related-pages a.next-page{max-width:50%;float:right;clear:right;text-align:right}.related-pages a.prev-page{max-width:50%;float:left;clear:left}.related-pages a.prev-page svg{transform:rotate(180deg)}.page-info{display:flex;flex-direction:column}.next-page .page-info{align-items:flex-end}.page-info .context{display:flex;align-items:center;padding-bottom:.1rem;color:var(--color-foreground-muted);font-size:var(--font-size--small);text-decoration:none}ul.search{padding-left:0;list-style:none}ul.search li{padding:1rem 0;border-bottom:1px solid var(--color-background-border)}.highlighted{background-color:var(--color-highlighted-background);color:var(--color-highlighted-text)}.sidebar-brand{display:flex;flex-direction:column;flex-shrink:0;padding:var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal);text-decoration:none}.sidebar-brand-text{overflow-wrap:break-word;font-size:1.5rem}.sidebar-brand-text,.sidebar-logo-container{margin:var(--sidebar-item-spacing-vertical) 0}.sidebar-logo{margin:0 auto;display:block;max-width:100%}.sidebar-search-container{display:flex;align-items:center;margin-top:var(--sidebar-search-space-above);position:relative}.sidebar-search-container:before{content:"";position:absolute;left:var(--sidebar-item-spacing-horizontal);width:var(--sidebar-search-icon-size);height:var(--sidebar-search-icon-size)}.sidebar-search{box-sizing:border-box;padding:var(--sidebar-search-input-spacing-vertical) var(--sidebar-search-input-spacing-horizontal) var(--sidebar-search-input-spacing-vertical) calc(var(--sidebar-item-spacing-horizontal) + var(--sidebar-search-input-spacing-horizontal) + var(--sidebar-search-icon-size));width:100%;color:var(--color-sidebar-search-foreground);background:transparent;z-index:10}.sidebar-search:focus{outline:none}.sidebar-search::-moz-placeholder{font-size:var(--sidebar-search-input-font-size)}.sidebar-search:-ms-input-placeholder{font-size:var(--sidebar-search-input-font-size)}.sidebar-search::placeholder{font-size:var(--sidebar-search-input-font-size)}.sidebar-tree{font-size:var(--sidebar-item-font-size);margin-top:var(--sidebar-tree-space-above);margin-bottom:var(--sidebar-item-spacing-vertical)}.sidebar-tree ul{padding:0;margin-top:0;margin-bottom:0;display:flex;flex-direction:column;list-style:none}.sidebar-tree li{position:relative;margin:0}.sidebar-tree li>ul{margin-left:var(--sidebar-item-spacing-horizontal)}.sidebar-tree .reference{box-sizing:border-box;display:inline-block;line-height:var(--sidebar-item-line-height);height:100%;width:100%;padding:var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)}.sidebar-tree .reference.external:after{content:url("data:image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' xmlns='http://www.w3.org/2000/svg' viewBox='0 0 24 24' stroke-width='1.5' stroke='%23607D8B' fill='none' stroke-linecap='round' stroke-linejoin='round'%3E%3Cpath d='M0 0h24v24H0z' stroke='none'/%3E%3Cpath d='M11 7H6a2 2 0 00-2 2v9a2 2 0 002 2h9a2 2 0 002-2v-5M10 14L20 4M15 4h5v5'/%3E%3C/svg%3E");margin:0 .25rem;vertical-align:middle}.sidebar-tree .current-page>.reference{font-weight:700}.sidebar-tree label{position:absolute;top:0;right:0;height:var(--sidebar-item-height);width:var(--sidebar-expander-width);cursor:pointer;display:flex;justify-content:center;align-items:center}.sidebar-tree .caption,.sidebar-tree :not(.caption)>.caption-text{font-size:var(--sidebar-caption-font-size);font-weight:700;text-transform:uppercase;margin:var(--sidebar-caption-space-above) 0 0 0;padding:var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)}.sidebar-tree li.has-children>.reference{padding-right:var(--sidebar-expander-width)}.toctree-checkbox{position:absolute;display:none}.toctree-checkbox~ul{display:none}.toctree-checkbox~label .icon svg{transform:rotate(90deg)}.toctree-checkbox:checked~ul{display:block}.toctree-checkbox:checked~label .icon svg{transform:rotate(-90deg)}.toc-title-container{padding:var(--toc-title-padding);padding-top:var(--toc-spacing-vertical)}.toc-title{font-size:var(--toc-title-font-size);padding-left:var(--toc-spacing-horizontal);text-transform:uppercase}.no-toc{display:none}.toc-tree-container{padding-bottom:var(--toc-spacing-vertical)}.toc-tree{font-size:var(--toc-font-size);line-height:1.3;padding-left:calc(var(--toc-spacing-horizontal) - var(--toc-item-spacing-horizontal))}.toc-tree>ul>li:first-child{padding-top:0}.toc-tree>ul>li:first-child>ul{padding-left:0}.toc-tree>ul>li:first-child>a{display:none}.toc-tree ul{list-style-type:none;margin-top:0;margin-bottom:0;padding-left:var(--toc-item-spacing-horizontal)}.toc-tree li{padding-top:var(--toc-item-spacing-vertical)}.toc-tree li .reference{word-break:break-word;text-decoration:none}.toc-tree li.scroll-current>.reference{font-weight:700}.toc-scroll{max-height:100vh;overflow-y:scroll}.contents:not(.this-will-duplicate-information-and-it-is-still-useful-here){color:var(--color-problematic);background:rgba(255,0,0,.25)}.contents:not(.this-will-duplicate-information-and-it-is-still-useful-here):before{content:"ERROR: Adding a table of contents in Furo-based documentation is unnecessary, and does not work well with existing styling. Add a 'this-will-duplicate-information-and-it-is-still-useful-here' class, if you want an escape hatch."}
+/*# sourceMappingURL=furo.css.map */
diff --git a/docs/0.10.5/html/_static/styles/furo.css.map b/docs/0.10.5/html/_static/styles/furo.css.map
new file mode 100644
index 000000000..23380e65b
--- /dev/null
+++ b/docs/0.10.5/html/_static/styles/furo.css.map
@@ -0,0 +1 @@
+{"version":3,"sources":["../../../../node_modules/normalize.css/normalize.css","base/_theme.sass","furo.css","base/_typography.sass","variables/_index.scss","_scaffold.sass","content/_admonitions.sass","content/_api.sass","content/_captions.sass","content/_code.sass","content/_footnotes.sass","content/_images.sass","content/_indexes.sass","content/_lists.sass","content/_math.sass","content/_misc.sass","content/_permalinks.sass","content/_rubrics.sass","content/_sidebar.sass","content/_tables.sass","content/_gui-labels.sass","components/_footer.sass","components/_search.sass","components/_sidebar.sass","components/_table_of_contents.sass"],"names":[],"mappings":"AAAA,2EAA2E,CAU3E,KACE,gBAAiB,CACjB,6BACF,CASA,KACE,QACF,CAMA,KACE,aACF,CAOA,GACE,aAAc,CACd,cACF,CAUA,GACE,sBAAuB,CACvB,QAAS,CACT,gBACF,CAOA,IACE,+BAAiC,CACjC,aACF,CASA,EACE,4BACF,CAOA,YACE,kBAAmB,CACnB,yBAA0B,CAC1B,wCAAiC,CAAjC,gCACF,CAMA,SAEE,kBACF,CAOA,cAGE,+BAAiC,CACjC,aACF,CAMA,MACE,aACF,CAOA,QAEE,aAAc,CACd,aAAc,CACd,iBAAkB,CAClB,uBACF,CAEA,IACE,aACF,CAEA,IACE,SACF,CASA,IACE,iBACF,CAUA,sCAKE,mBAAoB,CACpB,cAAe,CACf,gBAAiB,CACjB,QACF,CAOA,aAEE,gBACF,CAOA,cAEE,mBACF,CAMA,gDAIE,yBACF,CAMA,wHAIE,iBAAkB,CAClB,SACF,CAMA,4GAIE,6BACF,CAMA,SACE,0BACF,CASA,OACE,qBAAsB,CACtB,aAAc,CACd,aAAc,CACd,cAAe,CACf,SAAU,CACV,kBACF,CAMA,SACE,uBACF,CAMA,SACE,aACF,CAOA,6BAEE,qBAAsB,CACtB,SACF,CAMA,kFAEE,WACF,CAOA,cACE,4BAA6B,CAC7B,mBACF,CAMA,yCACE,uBACF,CAOA,6BACE,yBAA0B,CAC1B,YACF,CASA,QACE,aACF,CAMA,QACE,iBACF,CAiBA,kBACE,YACF,CCtVA,KACE,qCAAA,CACA,0CCJF,CDWI,gCACE,8BAAA,CACA,oBCRN,CDaA,cACE,qDAAA,CACA,oCCVF,CDeA,gBACE,6DAAA,CACA,0CCZF,CDcA,eACE,qCCXF,CDaA,0BACE,iDCVF,CDWE,uEAEE,wDCVJ,CDYE,iCACE,iDAAA,CACA,qCAAA,CAAA,6BCVJ,CDYA,gBACE,WAAA,CACA,uDAAA,CACA,0DCTF,CDcE,6CADE,oCCLJ,CDME,yBACE,oBCPJ,CDSI,+BACE,sDCPN,CDSI,wCAEE,oCCRN,CDSE,mDACE,uCCPJ,CDWI,2EAEE,+CCVN,CDaE,oBACE,wDCXJ,CDYI,0BACE,+DCVN,CDYE,kCACE,wDCVJ,CDWI,wCACE,sDCTN,CDeA,YACE,sCCZF,CDcA,WACE,iCCXF,CDaA,UACE,oDCVF,CDYE,qBACE,oBAAA,CACA,gCCVJ,CDYE,qCACE,wCCVJ,CDeA,QACE,qCAAA,CACA,0CCZF,CDcA,EACE,yBAAA,CAEA,uBAAA,CACA,yDAAA,CAAA,iDCZF,CDcE,QACE,8BAAA,CACA,gEAAA,CAAA,wDCZJ,CDaE,aACE,oBCXJ,CDYI,mBACE,yBAAA,CACA,uBAAA,CACA,yDAAA,CAAA,iDCVN,CDYA,aACE,8BCTF,CDYA,YACE,uBCTF,CDUA,WACE,sBCPF,CDSA,mCACE,YACE,sBCNF,CDOA,WACE,uBCJF,CACF,CCrIA,KACE,6BDuIF,CCtIA,kBAIE,wCDyIF,CCtIA,KACE,kCAAA,CACA,iCDyIF,CCtIA,QACE,eDyIF,CCpIA,GACE,iBDuIF,CCtIA,GACE,iBDyIF,CCxIA,GACE,iBD2IF,CC1IA,GACE,cD6IF,CC5IA,GACE,iBD+IF,CC9IA,GACE,gBDiJF,CC9IA,MAGE,kBAAA,CACA,eDiJF,CC/IA,SAJE,iBDyJF,CCrJA,GAEE,oBAAA,CACA,eDkJF,CC/IA,SAGE,wBAAA,CACA,eAAA,CACA,mBAAA,CACA,eDkJF,CC/IA,EACE,iBAAA,CACA,oBDkJF,CC/IA,YACE,UAAA,CACA,SAAA,CACA,aAAA,CACA,+CAAA,CACA,QDkJF,CChJA,UACE,iBDmJF,CEzLA,MAKE,kHAAA,CAEA,uGAAA,CAGA,wBAAA,CACA,wBAAA,CACA,4BAAA,CACA,yBAAA,CACA,2BAAA,CAGA,sDAAA,CACA,gDAAA,CACA,wDAAA,CAGA,0CAAA,CACA,gDAAA,CACA,gDAAA,CAGA,gCAAA,CACA,sCAAA,CAGA,2CAAA,CAKA,8FAAA,CAKA,iCAAA,CACA,kCAAA,CAEA,+BAAA,CACA,sCAAA,CACA,sCAAA,CACA,oGAAA,CAIA,mDAAA,CAEA,mCAAA,CACA,8CAAA,CACA,gDAAA,CACA,kCAAA,CACA,6DAAA,CAGA,6BAAA,CACA,6BAAA,CACA,+BAAA,CACA,kCAAA,CACA,kCAAA,CAME,yTAAA,CAAA,8QAAA,CAAA,6LAAA,CAAA,+NAAA,CAAA,8wBAAA,CAAA,qZAAA,CAAA,kLAAA,CAAA,mTAAA,CAAA,0UAAA,CAEF,8CAAA,CAQA,2BAAA,CAGA,+BAAA,CACA,oCAAA,CACA,gCAAA,CACA,iCAAA,CAEA,+BAAA,CACA,oCAAA,CACA,gCAAA,CACA,yDAAA,CACA,iCAAA,CAGA,8DAAA,CACA,iCAAA,CAGA,6BAAA,CACA,6BAAA,CAGA,iDAAA,CACA,2CAAA,CACA,+CAAA,CACA,mDAAA,CACA,4CAAA,CACA,oCAAA,CAGA,gEAAA,CAGA,mCAAA,CACA,wDAAA,CAGA,gEAAA,CACA,4DAAA,CACA,qDAAA,CAGA,yCAAA,CACA,gCAAA,CACA,wDAAA,CAGE,yCAAA,CACA,gEAAA,CADA,yCAAA,CACA,gEAAA,CADA,wCAAA,CACA,+DAAA,CADA,2CAAA,CACA,kEAAA,CADA,uCAAA,CACA,8DAAA,CADA,sCAAA,CACA,4DAAA,CADA,2CAAA,CACA,kEAAA,CADA,sCAAA,CACA,6DAAA,CADA,yCAAA,CACA,iEAAA,CADA,qCAAA,CACA,2DAAA,CADA,8CAAA,CACA,yEAAA,CAcF,yDAAA,CACA,oDAAA,CACA,mDAAA,CAGA,4DAAA,CACA,gEAAA,CAEA,0DAAA,CACA,0DAAA,CACA,2DAAA,CACA,+DAAA,CAEA,+DAAA,CACA,6EAAA,CAGA,2MAAA,CAOA,oDAAA,CACA,6EAAA,CAIA,2DAAA,CACA,mEAAA,CACA,wEAAA,CACA,4DAAA,CACA,yDAAA,CAGA,sDAAA,CACA,oDAAA,CACA,uDAAA,CACA,4DAAA,CACA,wDAAA,CAGA,0DAAA,CACA,sCAAA,CAEA,uCAAA,CACA,8CAAA,CACA,qDAAA,CACA,4DFwIF,CErIA,mCACE,MACE,2BAAA,CAGA,6DAAA,CACA,oCAAA,CACA,gCAAA,CACA,8BAAA,CAEA,kCAAA,CACA,oCAAA,CACA,gCAAA,CACA,sDAAA,CACA,iCAAA,CAGA,8DAAA,CACA,iCAAA,CAGA,6BAAA,CACA,6BAAA,CAGA,sCAAA,CAGA,4DAAA,CACA,yDAAA,CAGA,oCAAA,CAGA,qCFyHF,CACF,CGhXA,KACE,iBAAA,CACA,iBHkXF,CGhXA,qBAEE,oBAAA,CACA,0DHkXF,CG/WE,wCACE,YAAA,CACA,aHiXJ,CGhXE,8CACE,+CAAA,CACA,qBHkXJ,CG7WA,UAEE,WHgXF,CG9WA,MACE,YAAA,CAEA,eHgXF,CG9WA,eACE,UAAA,CACA,2BAAA,CACA,+CAAA,CACA,8BAAA,CACA,kDAAA,CAIA,UAAA,CAQA,YHuWF,CG5WE,wBACE,kBAAA,CACA,gEH8WJ,CGzWA,MACE,YAAA,CACA,MH4WF,CGzWA,gBACE,qBAAA,CAEA,YAAA,CACA,wBAAA,CAEA,sBAAA,CACA,cH0WF,CGvWA,+BAEE,qBAAA,CACA,UH0WF,CGxWA,YAEE,kBH0WF,CGxWA,4BAEE,eAAA,CACA,KAAA,CACA,sBAAA,CACA,YAAA,CAEA,YAAA,CACA,qBH0WF,CGxWA,4BAEE,aAAA,CAEA,aAAA,CACA,sBH0WF,CGvWA,SACE,aAAA,CACA,UDrGc,CCuGd,YAAA,CACA,qBAAA,CACA,6BHyWF,CGvWA,MACE,oBAAA,CACA,WAAA,CACA,UH0WF,CGzWE,UACE,UAAA,CACA,WH2WJ,CGtWA,cACE,2BAAA,CACA,YAAA,CACA,kBAAA,CACA,eHyWF,CGxWE,oBACE,4CH0WJ,CGxWA,sBACE,qBAAA,CACA,aAAA,CACA,cAAA,CACA,kBAAA,CACA,iBH2WF,CGtWA,oCACE,YAAA,CACA,cHyWF,CGvWE,gDACE,uCAAA,CACA,cAAA,CACA,aHyWJ,CGvWA,mCAEE,sBAAA,CACA,kBHyWF,CGvWA,kBACE,aAAA,CACA,YAAA,CACA,iBAAA,CACA,WH0WF,CGxWA,gBACE,iBAAA,CACA,YH2WF,CGzWA,4BACE,SH4WF,CG3WA,wBACE,SH8WF,CG3WA,SACE,cAAA,CACA,KAAA,CACA,OAAA,CACA,QAAA,CAEA,qDAAA,CAEA,SAAA,CACA,gCH4WF,CG3WA,iBACE,UH8WF,CG7WA,aACE,UHgXF,CG7WA,gBACE,UAAA,CACA,gCHgXF,CG/WA,YACE,UAAA,CACA,iCHkXF,CG9WE,uCACE,UAAA,CACA,WAAA,CACA,SHiXJ,CG/WI,4CACE,KAAA,CACA,MHiXN,CG9WE,4BACE,UAAA,CACA,WAAA,CACA,SHiXJ,CG/WI,iCACE,KAAA,CACA,OHiXN,CG3WA,wBACE,KACE,cH8WF,CACF,CG7WA,wBAEE,kBACE,YH8WF,CG7WA,YACE,cAAA,CACA,YAAA,CACA,KAAA,CACA,WAAA,CACA,mDHgXF,CG/WA,UACE,gBAAA,CACA,sCHkXF,CG/WA,gBACE,wBHkXF,CACF,CGjXA,wBAEE,kBACE,YHkXF,CGjXA,gBACE,cAAA,CACA,YAAA,CACA,UDlPY,CCoPZ,KAAA,CACA,UHmXF,CGhXA,iBACE,YHmXF,CGlXA,kBACE,YHqXF,CGlXA,eACE,eAAA,CACA,KAAA,CACA,YAAA,CACA,6BAAA,CACA,kBHqXF,CGnXE,yDAEE,YAAA,CACA,2BAAA,CACA,0BHqXJ,CGpXI,qEACE,WAAA,CACA,UHuXN,CGpXA,QACE,sCHuXF,CGpXA,MACE,qBAAA,CACA,sBHuXF,CGtXA,SACE,gBAAA,CACA,iBHyXF,CACF,CGxXA,wBAEE,SACE,UAAA,CACA,eHyXF,CACF,CGxXA,wBACE,SACE,aH0XF,CGxXA,oBACE,UAAA,CACA,UAAA,CACA,aH2XF,CACF,CI3qBA,YACE,gBAAA,CACA,qBAAA,CAEA,6CAAA,CAEA,mBAAA,CACA,qDAAA,CACA,oEAAA,CAEA,qCAAA,CAEA,eAAA,CACA,uBJyqBF,CItqBE,0BACE,YJwqBJ,CIrqBE,wBACE,eJuqBJ,CInqBE,+BACE,iBAAA,CACA,qBAAA,CACA,8BAAA,CAEA,eAAA,CACA,2CAAA,CACA,yDAAA,CAEA,eJmqBJ,CIhqBI,sCACE,UAAA,CACA,iBAAA,CACA,UAAA,CACA,UAAA,CACA,WAAA,CAEA,8CAAA,CAEA,iDAAA,CAAA,yCAAA,CACA,6BAAA,CAAA,qBJgqBN,CI1pBI,oBACE,wDJ4pBN,CI3pBM,sCACE,kEJ6pBR,CI5pBQ,6CACE,uDAAA,CACA,oCAAA,CAAA,4BJ8pBV,CIpqBI,oBACE,wDJsqBN,CIrqBM,sCACE,kEJuqBR,CItqBQ,6CACE,uDAAA,CACA,sCAAA,CAAA,8BJwqBV,CI9qBI,mBACE,uDJgrBN,CI/qBM,qCACE,iEJirBR,CIhrBQ,4CACE,sDAAA,CACA,oCAAA,CAAA,4BJkrBV,CIxrBI,sBACE,0DJ0rBN,CIzrBM,wCACE,oEJ2rBR,CI1rBQ,+CACE,yDAAA,CACA,sCAAA,CAAA,8BJ4rBV,CIlsBI,kBACE,sDJosBN,CInsBM,oCACE,gEJqsBR,CIpsBQ,2CACE,qDAAA,CACA,sCAAA,CAAA,8BJssBV,CI5sBI,iBACE,qDJ8sBN,CI7sBM,mCACE,+DJ+sBR,CI9sBQ,0CACE,oDAAA,CACA,uCAAA,CAAA,+BJgtBV,CIttBI,sBACE,0DJwtBN,CIvtBM,wCACE,oEJytBR,CIxtBQ,+CACE,yDAAA,CACA,oCAAA,CAAA,4BJ0tBV,CIhuBI,iBACE,qDJkuBN,CIjuBM,mCACE,+DJmuBR,CIluBQ,0CACE,oDAAA,CACA,qCAAA,CAAA,6BJouBV,CI1uBI,oBACE,wDJ4uBN,CI3uBM,sCACE,kEJ6uBR,CI5uBQ,6CACE,uDAAA,CACA,mCAAA,CAAA,2BJ8uBV,CIpvBI,gBACE,oDJsvBN,CIrvBM,kCACE,8DJuvBR,CItvBQ,yCACE,mDAAA,CACA,mCAAA,CAAA,2BJwvBV,CI9vBI,4BACE,gEJgwBN,CI/vBM,8CACE,0EJiwBR,CIhwBQ,qDACE,+DAAA,CACA,qCAAA,CAAA,6BJkwBV,CIhwBA,mCACE,wBJmwBF,CK3zBE,oCACE,gBL8zBJ,CK7zBI,wFACE,kBL+zBN,CK9zBI,oFACE,qBLg0BN,CK7zBE,wEACE,oBL+zBJ,CK5zBI,oFACE,wBAAA,CACA,iCL8zBN,CK5zBI,4GACE,mBL8zBN,CK7zBI,gGACE,mBL+zBN,CK7zBQ,wKACE,YL+zBV,CK5zBQ,gMACE,YAAA,CACA,eL8zBV,CK3zBE,oCACE,8BL6zBJ,CK5zBI,gEACE,qDL8zBN,CKpzBE,iHACE,gBAAA,CACA,gBL8zBJ,CK7zBI,iMACE,8BAAA,CACA,oBLs0BN,CKl0BM,iZACE,YAAA,CACA,iCL20BR,CKz0BA,UACE,eAAA,CACA,2BL40BF,CK30BA,aACE,+BL80BF,CK70BA,WACE,4BLg1BF,CK/0BA,WACE,iBLk1BF,CKh1BA,iBACE,iBLm1BF,CKj1BE,yDACE,kBAAA,CACA,qBLo1BJ,CKj1BA,8BACE,WAAA,CACA,gBLo1BF,CMt6BA,oDAGE,iCAAA,CACA,iBNy6BF,CMr6BE,0FACE,iCAAA,CACA,wBAAA,CAEA,kBAAA,CACA,eNu6BJ,CMr6BE,6BACE,YAAA,CACA,eNu6BJ,COx7BA,aACE,8CAAA,CACA,kBAAA,CAEA,oCAAA,CACA,iBP07BF,COl7BE,iEAEE,YAAA,CACA,YPq7BJ,COn7BA,IACE,QAAA,CACA,SPs7BF,COn7BE,YACE,ePq7BJ,COn7BE,iCAEE,+BAAA,CACA,uBAAA,CACA,aPo7BJ,COj7BE,kBACE,eAAA,CACA,kBAAA,CAEA,mBAAA,CACA,6CAAA,CACA,kCPk7BJ,CO/6BA,WACE,UAAA,CACA,mBPk7BF,CO/6BA,gBACE,UAAA,CACA,aPk7BF,COj7BE,sBACE,aPm7BJ,COj7BE,mBACE,YPm7BJ,COh7BE,2BACE,6CAAA,CACA,kCAAA,CAEA,iCAAA,CACA,4BAAA,CACA,+BPk7BJ,COh7BE,2BACE,+BAAA,CAEA,mBAAA,CACA,yDAAA,CACA,UPi7BJ,CO96BE,wBACE,SAAA,CACA,aAAA,CACA,MAAA,CACA,ePg7BJ,CO96BI,mCACE,wBAAA,CACA,2BPg7BN,CQjgCA,oBACE,oCAAA,CACA,oBRogCF,CQjgCA,YACE,iCAAA,CACA,uCAAA,CAEA,YAAA,CACA,8CAAA,CAAA,sCRmgCF,CQlgCE,eACE,QRogCJ,CQngCI,2BACE,kBRqgCN,CQngCI,qBACE,WRqgCN,CQlgCM,gCACE,WRogCR,CQngCM,+BACE,WRqgCR,CS1hCA,IACE,qBAAA,CACA,cAAA,CACA,WT6hCF,CS1hCE,+BACE,mBAAA,CAEA,QT4hCJ,CS3hCI,uDACE,eT6hCN,CS3hCE,oBACE,UAAA,CACA,UAAA,CACA,kBT6hCJ,CS3hCE,qBACE,WAAA,CACA,WAAA,CACA,kBT6hCJ,CS3hCE,6CAEE,aAAA,CACA,iBAAA,CACA,gBAAA,CACA,iBT6hCJ,CU5jCA,uCACE,mDAAA,CACA,sDAAA,CACA,cV+jCF,CU5jCE,6CACE,iBAAA,CACA,mBV+jCJ,CU9jCE,6CACE,YAAA,CACA,eVgkCJ,CW3kCA,MAEE,mBAAA,CAGA,eAAA,CACA,kBX4kCF,CWzkCI,wCACE,iBAAA,CACA,oBX4kCN,CW1kCI,sCACE,iBX6kCN,CW3kCI,oCAEE,gBAAA,CACA,mBX+kCN,CWzkCI,0EAEE,YAAA,CACA,eX8kCN,CWrkCE,6FACE,eAAA,CACA,iBX6kCJ,CW5kCI,+GACE,YXmlCN,CWjlCI,+MACE,WAAA,CACA,iBAAA,CACA,kBXwlCN,CWrlCI,gSAEE,kBXimCN,CW/lCI,+GACE,qBXsmCN,CY5pCA,cACE,UAAA,CACA,eZ+pCF,CahqCA,YACE,WbmqCF,CahqCA,mBACE,cAAA,CACA,eAAA,CACA,mBAAA,CACA,+CAAA,CACA,qCAAA,CACA,0BAAA,CAEA,oCAAA,CACA,oBAAA,CAEA,0FAAA,CAEA,kDbgqCF,Ca7pCA,WACE,oDAAA,CACA,iBAAA,CACA,iBAAA,CACA,kBAAA,CACA,kBbgqCF,Ca7pCA,eACE,qBbgqCF,CclrCE,4LACE,eAAA,CACA,iBAAA,CACA,iBAAA,CACA,oBd8rCJ,CcnrCE,0cACE,kBdusCJ,CenuCA,SACE,wBAAA,CACA,iCfsuCF,CgBxuCA,iBACE,WAAA,CACA,WAAA,CACA,SAAA,CAEA,gBAAA,CACA,cAAA,CAEA,mBAAA,CACA,kDAAA,CACA,+ChByuCF,CgBvuCE,mBACE,iBAAA,CACA,kBhByuCJ,CgBvuCE,wCACE,mBhByuCJ,CgBvuCE,gCACE,QAAA,CACA,kBAAA,CACA,sDAAA,CAEA,ehBwuCJ,CiBhwCA,eACE,UAAA,CACA,eAAA,CACA,eAAA,CACA,mBAAA,CACA,0BjBmwCF,CiBjwCA,eACE,mBAAA,CACA,gBAAA,CACA,wBAAA,CAEA,oEjBmwCF,CiBjwCE,kBACE,4CjBmwCJ,CiBjwCE,oCAGE,gBAAA,CAKA,oDAAA,CACA,qDAAA,CACA,sDjB8vCJ,CiBpwCI,wCACE,ajBuwCN,CiBhwCI,4DACE,gBjBmwCN,CiBlwCI,0DACE,iBjBqwCN,CkBryCA,UACE,iDAAA,CACA,6CAAA,CACA,gCAAA,CAEA,cAAA,CACA,kBAAA,CACA,clBuyCF,CmB3yCA,OACE,iCAAA,CACA,YAAA,CACA,qBAAA,CAEA,enB6yCF,CmB1yCA,qBACE,eAAA,CAGA,0BAAA,CAEA,mDAAA,CAEA,eAAA,CACA,uCnB0yCF,CmBtyCE,iBACE,YAAA,CACA,kBAAA,CAEA,oBnBwyCJ,CmBvyCI,yCACE,yBAAA,CACA,uBAAA,CACA,yDAAA,CAAA,iDnByyCN,CmBvyCI,8CAEE,aAAA,CAEA,oCAAA,CAEA,YAAA,CACA,aAAA,CACA,cnBuyCN,CmBryCI,2BACE,aAAA,CAEA,WAAA,CACA,WAAA,CACA,gBnBsyCN,CmBpyCI,2BACE,aAAA,CAEA,UAAA,CACA,UnBqyCN,CmBnyCM,+BACE,wBnBqyCR,CmBnyCA,WACE,YAAA,CACA,qBnBsyCF,CmBpyCE,sBACE,oBnBsyCJ,CmBpyCE,oBACE,YAAA,CACA,kBAAA,CAEA,oBAAA,CAEA,mCAAA,CACA,iCAAA,CACA,oBnBoyCJ,CoB52CA,UACE,cAAA,CACA,epB+2CF,CoB72CE,aACE,cAAA,CACA,sDpB+2CJ,CoB12CA,aACE,oDAAA,CACA,mCpB62CF,CqBv3CA,eACE,YAAA,CACA,qBAAA,CACA,aAAA,CAEA,mFAAA,CACA,oBrBy3CF,CqBv3CA,oBACE,wBAAA,CAEA,gBrB03CF,CqBx3CA,4CAHE,6CrB+3CF,CqBz3CA,cACE,aAAA,CACA,aAAA,CACA,crB43CF,CqBv3CA,0BACE,YAAA,CACA,kBAAA,CACA,4CAAA,CAEA,iBrBy3CF,CqBx3CE,iCACE,UAAA,CACA,iBAAA,CACA,2CAAA,CACA,qCAAA,CACA,sCrB03CJ,CqBx3CA,gBACE,qBAAA,CAKA,gRAAA,CAEA,UAAA,CAEA,4CAAA,CACA,sBAAA,CACA,UrBw3CF,CqBt3CE,sBACE,YrBw3CJ,CqBt3CE,kCACE,+CrBw3CJ,CqBz3CE,sCACE,+CrBw3CJ,CqBz3CE,6BACE,+CrBw3CJ,CqBn3CA,cACE,uCAAA,CACA,0CAAA,CACA,kDrBs3CF,CqBp3CE,iBACE,SAAA,CACA,YAAA,CACA,eAAA,CAEA,YAAA,CACA,qBAAA,CAEA,erBo3CJ,CqBl3CE,iBACE,iBAAA,CACA,QrBo3CJ,CqBl3CI,oBACE,kDrBo3CN,CqBl3CE,yBACE,qBAAA,CAEA,oBAAA,CACA,2CAAA,CAEA,WAAA,CACA,UAAA,CAEA,mFrBi3CJ,CqB92CI,wCACE,oXAAA,CACA,eAAA,CACA,qBrBg3CN,CqB72CE,uCACE,erB+2CJ,CqB72CE,oBACE,iBAAA,CACA,KAAA,CACA,OAAA,CACA,iCAAA,CACA,mCAAA,CAEA,cAAA,CAEA,YAAA,CACA,sBAAA,CACA,kBrB62CJ,CqB32CE,kEACE,0CAAA,CAEA,eAAA,CACA,wBAAA,CAEA,+CAAA,CAEA,mFrB02CJ,CqBr2CI,yCACE,2CrBu2CN,CqBr2CA,kBACE,iBAAA,CACA,YrBw2CF,CqBl2CE,qBACE,YrBq2CJ,CqBn2CE,kCACE,uBrBq2CJ,CqBl2CE,6BACE,arBq2CJ,CqBn2CE,0CACE,wBrBq2CJ,CsBhgDA,qBACE,gCAAA,CACA,uCtBmgDF,CsBjgDA,WACE,oCAAA,CACA,0CAAA,CACA,wBtBogDF,CsBjgDA,QACE,YtBogDF,CsBlgDA,oBACE,0CtBqgDF,CsBngDA,UACE,8BAAA,CACA,eAAA,CAEA,qFtBqgDF,CsBlgDE,4BACE,atBogDJ,CsBngDI,+BACE,ctBqgDN,CsBpgDI,8BACE,YtBsgDN,CsBpgDE,aACE,oBAAA,CACA,YAAA,CACA,eAAA,CACA,+CtBsgDJ,CsBrgDE,aACE,4CtBugDJ,CsBrgDI,wBACE,qBAAA,CACA,oBtBugDN,CsBrgDI,uCACE,etBugDN,CsBrgDA,YACE,gBAAA,CACA,iBtBwgDF,CsBrgDA,4EACE,8BAAA,CACA,4BtBwgDF,CsBvgDE,mFACE,6OtBygDJ","file":"furo.css","sourcesContent":["/*! normalize.css v8.0.1 | MIT License | github.com/necolas/normalize.css */\n\n/* Document\n   ========================================================================== */\n\n/**\n * 1. Correct the line height in all browsers.\n * 2. Prevent adjustments of font size after orientation changes in iOS.\n */\n\nhtml {\n  line-height: 1.15; /* 1 */\n  -webkit-text-size-adjust: 100%; /* 2 */\n}\n\n/* Sections\n   ========================================================================== */\n\n/**\n * Remove the margin in all browsers.\n */\n\nbody {\n  margin: 0;\n}\n\n/**\n * Render the `main` element consistently in IE.\n */\n\nmain {\n  display: block;\n}\n\n/**\n * Correct the font size and margin on `h1` elements within `section` and\n * `article` contexts in Chrome, Firefox, and Safari.\n */\n\nh1 {\n  font-size: 2em;\n  margin: 0.67em 0;\n}\n\n/* Grouping content\n   ========================================================================== */\n\n/**\n * 1. Add the correct box sizing in Firefox.\n * 2. Show the overflow in Edge and IE.\n */\n\nhr {\n  box-sizing: content-box; /* 1 */\n  height: 0; /* 1 */\n  overflow: visible; /* 2 */\n}\n\n/**\n * 1. Correct the inheritance and scaling of font size in all browsers.\n * 2. Correct the odd `em` font sizing in all browsers.\n */\n\npre {\n  font-family: monospace, monospace; /* 1 */\n  font-size: 1em; /* 2 */\n}\n\n/* Text-level semantics\n   ========================================================================== */\n\n/**\n * Remove the gray background on active links in IE 10.\n */\n\na {\n  background-color: transparent;\n}\n\n/**\n * 1. Remove the bottom border in Chrome 57-\n * 2. Add the correct text decoration in Chrome, Edge, IE, Opera, and Safari.\n */\n\nabbr[title] {\n  border-bottom: none; /* 1 */\n  text-decoration: underline; /* 2 */\n  text-decoration: underline dotted; /* 2 */\n}\n\n/**\n * Add the correct font weight in Chrome, Edge, and Safari.\n */\n\nb,\nstrong {\n  font-weight: bolder;\n}\n\n/**\n * 1. Correct the inheritance and scaling of font size in all browsers.\n * 2. Correct the odd `em` font sizing in all browsers.\n */\n\ncode,\nkbd,\nsamp {\n  font-family: monospace, monospace; /* 1 */\n  font-size: 1em; /* 2 */\n}\n\n/**\n * Add the correct font size in all browsers.\n */\n\nsmall {\n  font-size: 80%;\n}\n\n/**\n * Prevent `sub` and `sup` elements from affecting the line height in\n * all browsers.\n */\n\nsub,\nsup {\n  font-size: 75%;\n  line-height: 0;\n  position: relative;\n  vertical-align: baseline;\n}\n\nsub {\n  bottom: -0.25em;\n}\n\nsup {\n  top: -0.5em;\n}\n\n/* Embedded content\n   ========================================================================== */\n\n/**\n * Remove the border on images inside links in IE 10.\n */\n\nimg {\n  border-style: none;\n}\n\n/* Forms\n   ========================================================================== */\n\n/**\n * 1. Change the font styles in all browsers.\n * 2. Remove the margin in Firefox and Safari.\n */\n\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n  font-family: inherit; /* 1 */\n  font-size: 100%; /* 1 */\n  line-height: 1.15; /* 1 */\n  margin: 0; /* 2 */\n}\n\n/**\n * Show the overflow in IE.\n * 1. Show the overflow in Edge.\n */\n\nbutton,\ninput { /* 1 */\n  overflow: visible;\n}\n\n/**\n * Remove the inheritance of text transform in Edge, Firefox, and IE.\n * 1. Remove the inheritance of text transform in Firefox.\n */\n\nbutton,\nselect { /* 1 */\n  text-transform: none;\n}\n\n/**\n * Correct the inability to style clickable types in iOS and Safari.\n */\n\nbutton,\n[type=\"button\"],\n[type=\"reset\"],\n[type=\"submit\"] {\n  -webkit-appearance: button;\n}\n\n/**\n * Remove the inner border and padding in Firefox.\n */\n\nbutton::-moz-focus-inner,\n[type=\"button\"]::-moz-focus-inner,\n[type=\"reset\"]::-moz-focus-inner,\n[type=\"submit\"]::-moz-focus-inner {\n  border-style: none;\n  padding: 0;\n}\n\n/**\n * Restore the focus styles unset by the previous rule.\n */\n\nbutton:-moz-focusring,\n[type=\"button\"]:-moz-focusring,\n[type=\"reset\"]:-moz-focusring,\n[type=\"submit\"]:-moz-focusring {\n  outline: 1px dotted ButtonText;\n}\n\n/**\n * Correct the padding in Firefox.\n */\n\nfieldset {\n  padding: 0.35em 0.75em 0.625em;\n}\n\n/**\n * 1. Correct the text wrapping in Edge and IE.\n * 2. Correct the color inheritance from `fieldset` elements in IE.\n * 3. Remove the padding so developers are not caught out when they zero out\n *    `fieldset` elements in all browsers.\n */\n\nlegend {\n  box-sizing: border-box; /* 1 */\n  color: inherit; /* 2 */\n  display: table; /* 1 */\n  max-width: 100%; /* 1 */\n  padding: 0; /* 3 */\n  white-space: normal; /* 1 */\n}\n\n/**\n * Add the correct vertical alignment in Chrome, Firefox, and Opera.\n */\n\nprogress {\n  vertical-align: baseline;\n}\n\n/**\n * Remove the default vertical scrollbar in IE 10+.\n */\n\ntextarea {\n  overflow: auto;\n}\n\n/**\n * 1. Add the correct box sizing in IE 10.\n * 2. Remove the padding in IE 10.\n */\n\n[type=\"checkbox\"],\n[type=\"radio\"] {\n  box-sizing: border-box; /* 1 */\n  padding: 0; /* 2 */\n}\n\n/**\n * Correct the cursor style of increment and decrement buttons in Chrome.\n */\n\n[type=\"number\"]::-webkit-inner-spin-button,\n[type=\"number\"]::-webkit-outer-spin-button {\n  height: auto;\n}\n\n/**\n * 1. Correct the odd appearance in Chrome and Safari.\n * 2. Correct the outline style in Safari.\n */\n\n[type=\"search\"] {\n  -webkit-appearance: textfield; /* 1 */\n  outline-offset: -2px; /* 2 */\n}\n\n/**\n * Remove the inner padding in Chrome and Safari on macOS.\n */\n\n[type=\"search\"]::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n/**\n * 1. Correct the inability to style clickable types in iOS and Safari.\n * 2. Change font properties to `inherit` in Safari.\n */\n\n::-webkit-file-upload-button {\n  -webkit-appearance: button; /* 1 */\n  font: inherit; /* 2 */\n}\n\n/* Interactive\n   ========================================================================== */\n\n/*\n * Add the correct display in Edge, IE 10+, and Firefox.\n */\n\ndetails {\n  display: block;\n}\n\n/*\n * Add the correct display in all browsers.\n */\n\nsummary {\n  display: list-item;\n}\n\n/* Misc\n   ========================================================================== */\n\n/**\n * Add the correct display in IE 10+.\n */\n\ntemplate {\n  display: none;\n}\n\n/**\n * Add the correct display in IE 10.\n */\n\n[hidden] {\n  display: none;\n}\n","// TODO: break this out into relevant files.\n\n// This is where the theming and coloring of all the elements is done. This file\n// needs to be broken out to let all the styles for each of the components live\n// with the rest of the component's styling.\n\nbody\n  color: var(--color-foreground-primary)\n  background: var(--color-background-primary)\n\n  ////////////////////////////////////////////////////////////////////////////////\n// Header\n////////////////////////////////////////////////////////////////////////////////\n.mobile-header\n  .header-center\n    a\n      color: var(--color-header-text)\n      text-decoration: none\n\n////////////////////////////////////////////////////////////////////////////////\n// Announcements\n////////////////////////////////////////////////////////////////////////////////\n.announcement\n  background-color: var(--color-announcement-background)\n  color: var(--color-announcement-text)\n\n  ////////////////////////////////////////////////////////////////////////////////\n// Sidebar\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-drawer\n  border-right: 1px solid var(--color-sidebar-background-border)\n  background: var(--color-sidebar-background)\n\n.sidebar-brand\n  color: var(--color-sidebar-brand-text)\n\n.sidebar-search-container\n  background: var(--color-sidebar-search-background)\n  &:hover,\n  &:focus-within\n    background: var(--color-sidebar-search-background--focus)\n\n  &::before\n    background-color: var(--color-sidebar-search-icon)\n    mask-image: var(--icon-search)\n\n.sidebar-search\n  border: none\n  border-top: 1px solid var(--color-sidebar-search-border)\n  border-bottom: 1px solid var(--color-sidebar-search-border)\n\n.sidebar-tree\n  .icon\n    color: var(--color-sidebar-link-text)\n  .reference\n    text-decoration: none // No need for underlines here.\n    color: var(--color-sidebar-link-text)\n    &:hover\n      background: var(--color-sidebar-item-background--hover)\n\n    &.external::after\n      // make sure the icon looks like other boring links\n      color: var(--color-sidebar-link-text)\n  .caption, .caption-text\n    color: var(--color-sidebar-caption-text)\n\n  // Colorize the top-level list items and icon.\n  .toctree-l1\n    & > .reference,\n    & > label .icon\n      color: var(--color-sidebar-link-text--top-level)\n\n  // Color changes on hover\n  label\n    background: var(--color-sidebar-item-expander-background)\n    &:hover\n      background: var(--color-sidebar-item-expander-background--hover)\n\n  .current > .reference\n    background: var(--color-sidebar-item-background--current)\n    &:hover\n      background: var(--color-sidebar-item-background--hover)\n\n\n////////////////////////////////////////////////////////////////////////////////\n// Table of contents\n////////////////////////////////////////////////////////////////////////////////\n.toc-drawer\n  background: var(--color-toc-background)\n\n.toc-title\n  color: var(--color-toc-title-text)\n\n.toc-tree\n  border-left: 1px solid var(--color-background-border)\n\n  .reference\n    text-decoration: none // No need for underlines here.\n    color: var(--color-toc-item-text)\n\n  .scroll-current > .reference\n    color: var(--color-toc-item-text--active)\n\n////////////////////////////////////////////////////////////////////////////////\n// Contents\n////////////////////////////////////////////////////////////////////////////////\narticle\n  color: var(--color-content-foreground)\n  background: var(--color-content-background)\n\na\n  text-decoration: underline\n\n  color: var(--color-link)\n  text-decoration-color: var(--color-link-underline)\n\n  &:hover\n    color: var(--color-link--hover)\n    text-decoration-color: var(--color-link-underline--hover)\n  &.muted-link\n    text-decoration: none\n    &:hover\n      text-decoration: underline\n      color: var(--color-link)\n      text-decoration-color: var(--color-link-underline)\n\n.problematic\n  color: var(--color-problematic)\n\n// For items that need to be hidden based on the active theme.\n.only-light\n  display: block !important\n.only-dark\n  display: none !important\n\n@media (prefers-color-scheme: dark)\n  .only-light\n    display: none !important\n  .only-dark\n    display: block !important\n","@import \"normalize.css\";\nbody {\n  color: var(--color-foreground-primary);\n  background: var(--color-background-primary);\n}\n\n.mobile-header .header-center a {\n  color: var(--color-header-text);\n  text-decoration: none;\n}\n\n.announcement {\n  background-color: var(--color-announcement-background);\n  color: var(--color-announcement-text);\n}\n\n.sidebar-drawer {\n  border-right: 1px solid var(--color-sidebar-background-border);\n  background: var(--color-sidebar-background);\n}\n\n.sidebar-brand {\n  color: var(--color-sidebar-brand-text);\n}\n\n.sidebar-search-container {\n  background: var(--color-sidebar-search-background);\n}\n.sidebar-search-container:hover, .sidebar-search-container:focus-within {\n  background: var(--color-sidebar-search-background--focus);\n}\n.sidebar-search-container::before {\n  background-color: var(--color-sidebar-search-icon);\n  mask-image: var(--icon-search);\n}\n\n.sidebar-search {\n  border: none;\n  border-top: 1px solid var(--color-sidebar-search-border);\n  border-bottom: 1px solid var(--color-sidebar-search-border);\n}\n\n.sidebar-tree .icon {\n  color: var(--color-sidebar-link-text);\n}\n.sidebar-tree .reference {\n  text-decoration: none;\n  color: var(--color-sidebar-link-text);\n}\n.sidebar-tree .reference:hover {\n  background: var(--color-sidebar-item-background--hover);\n}\n.sidebar-tree .reference.external::after {\n  color: var(--color-sidebar-link-text);\n}\n.sidebar-tree .caption, .sidebar-tree .caption-text {\n  color: var(--color-sidebar-caption-text);\n}\n.sidebar-tree .toctree-l1 > .reference, .sidebar-tree .toctree-l1 > label .icon {\n  color: var(--color-sidebar-link-text--top-level);\n}\n.sidebar-tree label {\n  background: var(--color-sidebar-item-expander-background);\n}\n.sidebar-tree label:hover {\n  background: var(--color-sidebar-item-expander-background--hover);\n}\n.sidebar-tree .current > .reference {\n  background: var(--color-sidebar-item-background--current);\n}\n.sidebar-tree .current > .reference:hover {\n  background: var(--color-sidebar-item-background--hover);\n}\n\n.toc-drawer {\n  background: var(--color-toc-background);\n}\n\n.toc-title {\n  color: var(--color-toc-title-text);\n}\n\n.toc-tree {\n  border-left: 1px solid var(--color-background-border);\n}\n.toc-tree .reference {\n  text-decoration: none;\n  color: var(--color-toc-item-text);\n}\n.toc-tree .scroll-current > .reference {\n  color: var(--color-toc-item-text--active);\n}\n\narticle {\n  color: var(--color-content-foreground);\n  background: var(--color-content-background);\n}\n\na {\n  text-decoration: underline;\n  color: var(--color-link);\n  text-decoration-color: var(--color-link-underline);\n}\na:hover {\n  color: var(--color-link--hover);\n  text-decoration-color: var(--color-link-underline--hover);\n}\na.muted-link {\n  text-decoration: none;\n}\na.muted-link:hover {\n  text-decoration: underline;\n  color: var(--color-link);\n  text-decoration-color: var(--color-link-underline);\n}\n\n.problematic {\n  color: var(--color-problematic);\n}\n\n.only-light {\n  display: block !important;\n}\n\n.only-dark {\n  display: none !important;\n}\n\n@media (prefers-color-scheme: dark) {\n  .only-light {\n    display: none !important;\n  }\n\n  .only-dark {\n    display: block !important;\n  }\n}\nhtml {\n  font-family: var(--font-stack);\n}\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: var(--font-stack--monospace);\n}\n\nbody {\n  -webkit-font-smoothing: antialiased;\n  -moz-osx-font-smoothing: grayscale;\n}\n\narticle {\n  line-height: 1.5;\n}\n\nh1 {\n  font-size: 2.25rem;\n}\n\nh2 {\n  font-size: 1.75rem;\n}\n\nh3 {\n  font-size: 1.25rem;\n}\n\nh4 {\n  font-size: 1rem;\n}\n\nh5 {\n  font-size: 0.875rem;\n}\n\nh6 {\n  font-size: 0.75rem;\n}\n\nh1,\nh2 {\n  margin-top: 1.5rem;\n  margin-bottom: 1rem;\n  font-weight: 300;\n}\n\nh3 {\n  margin-top: 1.5rem;\n  margin-bottom: 0.75rem;\n  font-weight: 400;\n}\n\nh4,\nh5,\nh6 {\n  text-transform: uppercase;\n  margin-top: 1rem;\n  margin-bottom: 0.5rem;\n  font-weight: 700;\n}\n\np {\n  margin-top: 0.75rem;\n  margin-bottom: 0.75rem;\n}\n\nhr.docutils {\n  height: 1px;\n  padding: 0;\n  margin: 2rem 0;\n  background-color: var(--color-background-border);\n  border: 0;\n}\n\n.centered {\n  text-align: center;\n}\n\n:root {\n  --font-stack: -apple-system, BlinkMacSystemFont, Segoe UI, Helvetica, Arial,\n    sans-serif, Apple Color Emoji, Segoe UI Emoji;\n  --font-stack--monospace: \"SFMono-Regular\", Menlo, Consolas, Monaco,\n    Liberation Mono, Lucida Console, monospace;\n  --font-size--normal: 100%;\n  --font-size--small: 87.5%;\n  --font-size--small--2: 81.25%;\n  --font-size--small--3: 75%;\n  --font-size--small--4: 62.5%;\n  --sidebar-caption-font-size: var(--font-size--small--2);\n  --sidebar-item-font-size: var(--font-size--small);\n  --sidebar-search-input-font-size: var(--font-size--small);\n  --toc-font-size: var(--font-size--small--3);\n  --toc-font-size--mobile: var(--font-size--normal);\n  --toc-title-font-size: var(--font-size--small--4);\n  --admonition-font-size: 0.8125rem;\n  --admonition-title-font-size: 0.8125rem;\n  --code-font-size: var(--font-size--small--2);\n  --header-height: calc(\n    var(--sidebar-item-line-height) + 4 * var(--sidebar-item-spacing-vertical)\n  );\n  --sidebar-tree-space-above: 1.5rem;\n  --sidebar-caption-space-above: 1rem;\n  --sidebar-item-line-height: 1rem;\n  --sidebar-item-spacing-vertical: 0.5rem;\n  --sidebar-item-spacing-horizontal: 1rem;\n  --sidebar-item-height: calc(\n    var(--sidebar-item-line-height) + 2 *var(--sidebar-item-spacing-vertical)\n  );\n  --sidebar-expander-width: var(--sidebar-item-height);\n  --sidebar-search-space-above: 0.5rem;\n  --sidebar-search-input-spacing-vertical: 0.5rem;\n  --sidebar-search-input-spacing-horizontal: 0.5rem;\n  --sidebar-search-input-height: 1rem;\n  --sidebar-search-icon-size: var(--sidebar-search-input-height);\n  --toc-title-padding: 0.25rem 0;\n  --toc-spacing-vertical: 1.5rem;\n  --toc-spacing-horizontal: 1.5rem;\n  --toc-item-spacing-vertical: 0.4rem;\n  --toc-item-spacing-horizontal: 1rem;\n  --icon-search: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\" stroke-width=\"1.5\" stroke=\"currentColor\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path stroke=\"none\" d=\"M0 0h24v24H0z\"/><circle cx=\"10\" cy=\"10\" r=\"7\" /><line x1=\"21\" y1=\"21\" x2=\"15\" y2=\"15\" /></svg>');\n  --icon-pencil: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25z\"/></svg>');\n  --icon-abstract: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M4 5h16v2H4V5m0 4h16v2H4V9m0 4h16v2H4v-2m0 4h10v2H4v-2z\"/></svg>');\n  --icon-info: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M13 9h-2V7h2m0 10h-2v-6h2m-1-9A10 10 0 002 12a10 10 0 0010 10 10 10 0 0010-10A10 10 0 0012 2z\"/></svg>');\n  --icon-flame: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M17.55 11.2c-.23-.3-.5-.56-.76-.82-.65-.6-1.4-1.03-2.03-1.66C13.3 7.26 13 4.85 13.91 3c-.91.23-1.75.75-2.45 1.32-2.54 2.08-3.54 5.75-2.34 8.9.04.1.08.2.08.33 0 .22-.15.42-.35.5-.22.1-.46.04-.64-.12a.83.83 0 01-.15-.17c-1.1-1.43-1.28-3.48-.53-5.12C5.89 10 5 12.3 5.14 14.47c.04.5.1 1 .27 1.5.14.6.4 1.2.72 1.73 1.04 1.73 2.87 2.97 4.84 3.22 2.1.27 4.35-.12 5.96-1.6 1.8-1.66 2.45-4.32 1.5-6.6l-.13-.26c-.2-.46-.47-.87-.8-1.25l.05-.01m-3.1 6.3c-.28.24-.73.5-1.08.6-1.1.4-2.2-.16-2.87-.82 1.19-.28 1.89-1.16 2.09-2.05.17-.8-.14-1.46-.27-2.23-.12-.74-.1-1.37.18-2.06.17.38.37.76.6 1.06.76 1 1.95 1.44 2.2 2.8.04.14.06.28.06.43.03.82-.32 1.72-.92 2.27h.01z\"/></svg>');\n  --icon-question: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M15.07 11.25l-.9.92C13.45 12.89 13 13.5 13 15h-2v-.5c0-1.11.45-2.11 1.17-2.83l1.24-1.26c.37-.36.59-.86.59-1.41a2 2 0 00-2-2 2 2 0 00-2 2H8a4 4 0 014-4 4 4 0 014 4 3.2 3.2 0 01-.93 2.25M13 19h-2v-2h2M12 2A10 10 0 002 12a10 10 0 0010 10 10 10 0 0010-10c0-5.53-4.5-10-10-10z\"/></svg>');\n  --icon-warning: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M13 14h-2v-4h2m0 8h-2v-2h2M1 21h22L12 2 1 21z\"/></svg>');\n  --icon-failure: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M12 2c5.53 0 10 4.47 10 10s-4.47 10-10 10S2 17.53 2 12 6.47 2 12 2m3.59 5L12 10.59 8.41 7 7 8.41 10.59 12 7 15.59 8.41 17 12 13.41 15.59 17 17 15.59 13.41 12 17 8.41 15.59 7z\"/></svg>');\n  --icon-spark: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M11.5 20l4.86-9.73H13V4l-5 9.73h3.5V20M12 2c2.75 0 5.1 1 7.05 2.95C21 6.9 22 9.25 22 12s-1 5.1-2.95 7.05C17.1 21 14.75 22 12 22s-5.1-1-7.05-2.95C3 17.1 2 14.75 2 12s1-5.1 2.95-7.05C6.9 3 9.25 2 12 2z\"/></svg>');\n  --icon-admonition-default: var(--icon-abstract);\n  --color-problematic: #b30000;\n  --color-foreground-primary: black;\n  --color-foreground-secondary: #5a5c63;\n  --color-foreground-muted: #72747e;\n  --color-foreground-border: #878787;\n  --color-background-primary: white;\n  --color-background-secondary: #f8f9fb;\n  --color-background-hover: #efeff4ff;\n  --color-background-hover--transparent: #efeff400;\n  --color-background-border: #eeebee;\n  --color-announcement-background: #000000dd;\n  --color-announcement-text: #eeebee;\n  --color-brand-primary: #2962ff;\n  --color-brand-content: #2a5adf;\n  --color-api-overall: var(--color-foreground-muted);\n  --color-api-name: var(--color-brand-content);\n  --color-api-pre-name: var(--color-brand-content);\n  --color-api-paren: var(--color-foreground-secondary);\n  --color-api-keyword: var(--color-problematic);\n  --color-api-highlight-on-target: #ffffcc;\n  --color-inline-code-background: var(--color-background-secondary);\n  --color-highlighted-background: #ddeeff;\n  --color-highlighted-text: var(--color-foreground-primary);\n  --color-guilabel-background: #ddeeff80;\n  --color-guilabel-border: #bedaf580;\n  --color-guilabel-text: var(--color-foreground-primary);\n  --color-admonition-background: transparent;\n  --color-admonition-title: #651fff;\n  --color-admonition-title-background: rgba(101, 31, 255, 0.1);\n  --color-admonition-title--caution: #ff9100;\n  --color-admonition-title-background--caution: rgba(255, 145, 0, 0.1);\n  --color-admonition-title--warning: #ff9100;\n  --color-admonition-title-background--warning: rgba(255, 145, 0, 0.1);\n  --color-admonition-title--danger: #ff5252;\n  --color-admonition-title-background--danger: rgba(255, 82, 82, 0.1);\n  --color-admonition-title--attention: #ff5252;\n  --color-admonition-title-background--attention: rgba(255, 82, 82, 0.1);\n  --color-admonition-title--error: #ff5252;\n  --color-admonition-title-background--error: rgba(255, 82, 82, 0.1);\n  --color-admonition-title--hint: #00c852;\n  --color-admonition-title-background--hint: rgba(0, 200, 82, 0.1);\n  --color-admonition-title--important: #00bfa5;\n  --color-admonition-title-background--important: rgba(0, 191, 165, 0.1);\n  --color-admonition-title--note: #00b0ff;\n  --color-admonition-title-background--note: rgba(0, 176, 255, 0.1);\n  --color-admonition-title--seealso: #448aff;\n  --color-admonition-title-background--seealso: rgba(68, 138, 255, 0.1);\n  --color-admonition-title--tip: #00c852;\n  --color-admonition-title-background--tip: rgba(0, 200, 82, 0.1);\n  --color-admonition-title--admonition-todo: #808080;\n  --color-admonition-title-background--admonition-todo: rgba(128, 128, 128, 0.1);\n  --color-header-background: var(--color-background-primary);\n  --color-header-border: var(--color-background-border);\n  --color-header-text: var(--color-foreground-primary);\n  --color-sidebar-background: var(--color-background-secondary);\n  --color-sidebar-background-border: var(--color-background-border);\n  --color-sidebar-brand-text: var(--color-foreground-primary);\n  --color-sidebar-caption-text: var(--color-foreground-muted);\n  --color-sidebar-link-text: var(--color-foreground-secondary);\n  --color-sidebar-link-text--top-level: var(--color-brand-primary);\n  --color-sidebar-item-background: var(--color-sidebar-background);\n  --color-sidebar-item-background--current: var(\n    --color-sidebar-item-background\n  );\n  --color-sidebar-item-background--hover: linear-gradient(\n    90deg,\n    var(--color-background-hover--transparent) 0%,\n    var(--color-background-hover) var(--sidebar-item-spacing-horizontal),\n    var(--color-background-hover) 100%\n  );\n  --color-sidebar-item-expander-background: transparent;\n  --color-sidebar-item-expander-background--hover: var(\n    --color-background-hover\n  );\n  --color-sidebar-search-text: var(--color-foreground-primary);\n  --color-sidebar-search-background: var(--color-background-secondary);\n  --color-sidebar-search-background--focus: var(--color-background-primary);\n  --color-sidebar-search-border: var(--color-background-border);\n  --color-sidebar-search-icon: var(--color-foreground-muted);\n  --color-toc-background: var(--color-background-primary);\n  --color-toc-title-text: var(--color-foreground-muted);\n  --color-toc-item-text: var(--color-foreground-secondary);\n  --color-toc-item-text--hover: var(--color-foreground-primary);\n  --color-toc-item-text--active: var(--color-brand-primary);\n  --color-content-foreground: var(--color-foreground-primary);\n  --color-content-background: transparent;\n  --color-link: var(--color-brand-content);\n  --color-link--hover: var(--color-brand-content);\n  --color-link-underline: var(--color-background-border);\n  --color-link-underline--hover: var(--color-foreground-border);\n}\n\n@media (prefers-color-scheme: dark) {\n  :root {\n    --color-problematic: #e25050;\n    --color-foreground-primary: #ffffffd9;\n    --color-foreground-secondary: #9ca0a5;\n    --color-foreground-muted: #81868d;\n    --color-foreground-border: #666666;\n    --color-background-primary: #131416;\n    --color-background-secondary: #1a1c1e;\n    --color-background-hover: #1e2124ff;\n    --color-background-hover--transparent: #1e212400;\n    --color-background-border: #303335;\n    --color-announcement-background: #000000dd;\n    --color-announcement-text: #eeebee;\n    --color-brand-primary: #2b8cee;\n    --color-brand-content: #368ce2;\n    --color-highlighted-background: #083563;\n    --color-guilabel-background: #08356380;\n    --color-guilabel-border: #13395f80;\n    --color-api-highlight-on-target: #333300;\n    --color-admonition-background: #18181a;\n  }\n}\nhtml {\n  overflow-x: hidden;\n  overflow-y: scroll;\n}\n\n:not(html):not(body) {\n  scrollbar-width: thin;\n  scrollbar-color: var(--color-foreground-border) transparent;\n}\n:not(html):not(body)::-webkit-scrollbar {\n  width: 0.25rem;\n  height: 0.25rem;\n}\n:not(html):not(body)::-webkit-scrollbar-thumb {\n  background-color: var(--color-foreground-border);\n  border-radius: 0.125rem;\n}\n\nhtml,\nbody {\n  height: 100%;\n}\n\n.page {\n  display: flex;\n  min-height: 100%;\n}\n\n.mobile-header {\n  width: 100%;\n  height: var(--header-height);\n  background-color: var(--color-header-background);\n  color: var(--color-header-text);\n  border-bottom: 1px solid var(--color-header-border);\n  z-index: 10;\n  display: none;\n}\n.mobile-header.scrolled {\n  border-bottom: none;\n  box-shadow: 0 0 0.2rem rgba(0, 0, 0, 0.1), 0 0.2rem 0.4rem rgba(0, 0, 0, 0.2);\n}\n\n.main {\n  display: flex;\n  flex: 1;\n}\n\n.sidebar-drawer {\n  box-sizing: border-box;\n  display: flex;\n  justify-content: flex-end;\n  width: calc((100% - 82em) / 2 + 15em);\n  min-width: 15em;\n}\n\n.sidebar-container,\n.toc-drawer {\n  box-sizing: border-box;\n  width: 15em;\n}\n\n.toc-drawer {\n  padding-right: 1rem;\n}\n\n.sidebar-sticky,\n.toc-sticky {\n  position: sticky;\n  top: 0;\n  height: min(100%, 100vh);\n  height: 100vh;\n  display: flex;\n  flex-direction: column;\n}\n\n.sidebar-scroll,\n.toc-scroll {\n  flex-shrink: 1;\n  overflow: auto;\n  scroll-behavior: smooth;\n}\n\n.content {\n  padding: 0 3em;\n  width: 46em;\n  display: flex;\n  flex-direction: column;\n  justify-content: space-between;\n}\n\n.icon {\n  display: inline-block;\n  height: 1rem;\n  width: 1rem;\n}\n.icon svg {\n  width: 100%;\n  height: 100%;\n}\n\n.announcement {\n  height: var(--header-height);\n  display: flex;\n  align-items: center;\n  overflow-x: auto;\n}\n.announcement + .page {\n  min-height: calc(100% - var(--header-height));\n}\n\n.announcement-content {\n  box-sizing: border-box;\n  padding: 0.5rem;\n  min-width: 100%;\n  white-space: nowrap;\n  text-align: center;\n}\n\n.toc-overlay-icon, .nav-overlay-icon {\n  display: none;\n  cursor: pointer;\n}\n.toc-overlay-icon .icon, .nav-overlay-icon .icon {\n  color: var(--color-foreground-secondary);\n  height: 1.25rem;\n  width: 1.25rem;\n}\n\n.toc-header-icon, .nav-overlay-icon {\n  justify-content: center;\n  align-items: center;\n}\n\n.toc-content-icon {\n  height: 1.5rem;\n  width: 1.5rem;\n  margin-top: 1.5rem;\n  float: right;\n}\n\n.sidebar-toggle {\n  position: absolute;\n  display: none;\n}\n\n.sidebar-toggle[name=__toc] {\n  left: 20px;\n}\n\n.sidebar-toggle:checked {\n  left: 40px;\n}\n\n.overlay {\n  position: fixed;\n  top: 0;\n  width: 0;\n  height: 0;\n  transition: width 0ms, height 0ms, opacity 250ms ease-out;\n  opacity: 0;\n  background-color: rgba(0, 0, 0, 0.54);\n}\n\n.sidebar-overlay {\n  z-index: 20;\n}\n\n.toc-overlay {\n  z-index: 40;\n}\n\n.sidebar-drawer {\n  z-index: 30;\n  transition: left 250ms ease-in-out;\n}\n\n.toc-drawer {\n  z-index: 50;\n  transition: right 250ms ease-in-out;\n}\n\n#__navigation:checked ~ .sidebar-overlay {\n  width: 100%;\n  height: 100%;\n  opacity: 1;\n}\n#__navigation:checked ~ .page .sidebar-drawer {\n  top: 0;\n  left: 0;\n}\n\n#__toc:checked ~ .toc-overlay {\n  width: 100%;\n  height: 100%;\n  opacity: 1;\n}\n#__toc:checked ~ .page .toc-drawer {\n  top: 0;\n  right: 0;\n}\n\n@media (min-width: 97em) {\n  html {\n    font-size: 110%;\n  }\n}\n@media (max-width: 82em) {\n  .toc-content-icon {\n    display: flex;\n  }\n\n  .toc-drawer {\n    position: fixed;\n    height: 100vh;\n    top: 0;\n    right: -15em;\n    border-left: 1px solid var(--color-background-muted);\n  }\n\n  .toc-tree {\n    border-left: none;\n    font-size: var(--toc-font-size--mobile);\n  }\n\n  .sidebar-drawer {\n    width: calc((100% - 67em) / 2 + 15em);\n  }\n}\n@media (max-width: 67em) {\n  .nav-overlay-icon {\n    display: flex;\n  }\n\n  .sidebar-drawer {\n    position: fixed;\n    height: 100vh;\n    width: 15em;\n    top: 0;\n    left: -15em;\n  }\n\n  .toc-header-icon {\n    display: flex;\n  }\n\n  .toc-content-icon {\n    display: none;\n  }\n\n  .mobile-header {\n    position: sticky;\n    top: 0;\n    display: flex;\n    justify-content: space-between;\n    align-items: center;\n  }\n  .mobile-header .header-left,\n.mobile-header .header-right {\n    display: flex;\n    height: var(--header-height);\n    width: var(--header-height);\n  }\n  .mobile-header .header-left label,\n.mobile-header .header-right label {\n    height: 100%;\n    width: 100%;\n  }\n\n  :target {\n    scroll-margin-top: var(--header-height);\n  }\n\n  .page {\n    flex-direction: column;\n    justify-content: center;\n  }\n\n  .content {\n    margin-left: auto;\n    margin-right: auto;\n  }\n}\n@media (max-width: 52em) {\n  .content {\n    width: 100%;\n    overflow-x: auto;\n  }\n}\n@media (max-width: 46em) {\n  .content {\n    padding: 0 1em;\n  }\n\n  article div.sidebar {\n    float: none;\n    width: 100%;\n    margin: 1rem 0;\n  }\n}\n.admonition {\n  margin: 1rem auto;\n  padding: 0 0.5rem 0.5rem 0.5rem;\n  background: var(--color-admonition-background);\n  border-radius: 0.2rem;\n  border-left: 0.2rem solid var(--color-admonition-title);\n  box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1);\n  font-size: var(--admonition-font-size);\n  overflow: hidden;\n  page-break-inside: avoid;\n}\n.admonition > :nth-child(2) {\n  margin-top: 0;\n}\n.admonition > :last-child {\n  margin-bottom: 0;\n}\n.admonition p.admonition-title {\n  position: relative;\n  margin: 0 -0.5rem 0.5rem;\n  padding: 0.5rem 0.5rem 0.5rem 2rem;\n  font-weight: 500;\n  font-size: var(--admonition-title-font-size);\n  background-color: var(--color-admonition-title-background);\n  line-height: 1.3;\n}\n.admonition p.admonition-title::before {\n  content: \"\";\n  position: absolute;\n  left: 0.5rem;\n  width: 1rem;\n  height: 1rem;\n  background-color: var(--color-admonition-title);\n  mask-image: var(--icon-admonition-default);\n  mask-repeat: no-repeat;\n}\n.admonition.caution {\n  border-left-color: var(--color-admonition-title--caution);\n}\n.admonition.caution > .admonition-title {\n  background-color: var(--color-admonition-title-background--caution);\n}\n.admonition.caution > .admonition-title::before {\n  background-color: var(--color-admonition-title--caution);\n  mask-image: var(--icon-spark);\n}\n.admonition.warning {\n  border-left-color: var(--color-admonition-title--warning);\n}\n.admonition.warning > .admonition-title {\n  background-color: var(--color-admonition-title-background--warning);\n}\n.admonition.warning > .admonition-title::before {\n  background-color: var(--color-admonition-title--warning);\n  mask-image: var(--icon-warning);\n}\n.admonition.danger {\n  border-left-color: var(--color-admonition-title--danger);\n}\n.admonition.danger > .admonition-title {\n  background-color: var(--color-admonition-title-background--danger);\n}\n.admonition.danger > .admonition-title::before {\n  background-color: var(--color-admonition-title--danger);\n  mask-image: var(--icon-spark);\n}\n.admonition.attention {\n  border-left-color: var(--color-admonition-title--attention);\n}\n.admonition.attention > .admonition-title {\n  background-color: var(--color-admonition-title-background--attention);\n}\n.admonition.attention > .admonition-title::before {\n  background-color: var(--color-admonition-title--attention);\n  mask-image: var(--icon-warning);\n}\n.admonition.error {\n  border-left-color: var(--color-admonition-title--error);\n}\n.admonition.error > .admonition-title {\n  background-color: var(--color-admonition-title-background--error);\n}\n.admonition.error > .admonition-title::before {\n  background-color: var(--color-admonition-title--error);\n  mask-image: var(--icon-failure);\n}\n.admonition.hint {\n  border-left-color: var(--color-admonition-title--hint);\n}\n.admonition.hint > .admonition-title {\n  background-color: var(--color-admonition-title-background--hint);\n}\n.admonition.hint > .admonition-title::before {\n  background-color: var(--color-admonition-title--hint);\n  mask-image: var(--icon-question);\n}\n.admonition.important {\n  border-left-color: var(--color-admonition-title--important);\n}\n.admonition.important > .admonition-title {\n  background-color: var(--color-admonition-title-background--important);\n}\n.admonition.important > .admonition-title::before {\n  background-color: var(--color-admonition-title--important);\n  mask-image: var(--icon-flame);\n}\n.admonition.note {\n  border-left-color: var(--color-admonition-title--note);\n}\n.admonition.note > .admonition-title {\n  background-color: var(--color-admonition-title-background--note);\n}\n.admonition.note > .admonition-title::before {\n  background-color: var(--color-admonition-title--note);\n  mask-image: var(--icon-pencil);\n}\n.admonition.seealso {\n  border-left-color: var(--color-admonition-title--seealso);\n}\n.admonition.seealso > .admonition-title {\n  background-color: var(--color-admonition-title-background--seealso);\n}\n.admonition.seealso > .admonition-title::before {\n  background-color: var(--color-admonition-title--seealso);\n  mask-image: var(--icon-info);\n}\n.admonition.tip {\n  border-left-color: var(--color-admonition-title--tip);\n}\n.admonition.tip > .admonition-title {\n  background-color: var(--color-admonition-title-background--tip);\n}\n.admonition.tip > .admonition-title::before {\n  background-color: var(--color-admonition-title--tip);\n  mask-image: var(--icon-info);\n}\n.admonition.admonition-todo {\n  border-left-color: var(--color-admonition-title--admonition-todo);\n}\n.admonition.admonition-todo > .admonition-title {\n  background-color: var(--color-admonition-title-background--admonition-todo);\n}\n.admonition.admonition-todo > .admonition-title::before {\n  background-color: var(--color-admonition-title--admonition-todo);\n  mask-image: var(--icon-pencil);\n}\n\n.admonition-todo > .admonition-title {\n  text-transform: uppercase;\n}\n\ndl.py dd, dl.cpp dd, dl.c dd, dl.js dd {\n  margin-left: 2rem;\n}\ndl.py dd > :first-child, dl.cpp dd > :first-child, dl.c dd > :first-child, dl.js dd > :first-child {\n  margin-top: 0.125rem;\n}\ndl.py dd > :last-child, dl.cpp dd > :last-child, dl.c dd > :last-child, dl.js dd > :last-child {\n  margin-bottom: 1.25rem;\n}\ndl.py .field-list, dl.cpp .field-list, dl.c .field-list, dl.js .field-list {\n  margin-bottom: 0.75rem;\n}\ndl.py .field-list dt, dl.cpp .field-list dt, dl.c .field-list dt, dl.js .field-list dt {\n  text-transform: uppercase;\n  font-size: var(--font-size--small);\n}\ndl.py .field-list dd:empty, dl.cpp .field-list dd:empty, dl.c .field-list dd:empty, dl.js .field-list dd:empty {\n  margin-bottom: 0.5rem;\n}\ndl.py .field-list dd > ul, dl.cpp .field-list dd > ul, dl.c .field-list dd > ul, dl.js .field-list dd > ul {\n  margin-left: -1.2rem;\n}\ndl.py .field-list dd > ul > li > p:nth-child(2), dl.cpp .field-list dd > ul > li > p:nth-child(2), dl.c .field-list dd > ul > li > p:nth-child(2), dl.js .field-list dd > ul > li > p:nth-child(2) {\n  margin-top: 0;\n}\ndl.py .field-list dd > ul > li > p + p:last-child:empty, dl.cpp .field-list dd > ul > li > p + p:last-child:empty, dl.c .field-list dd > ul > li > p + p:last-child:empty, dl.js .field-list dd > ul > li > p + p:last-child:empty {\n  margin-top: 0;\n  margin-bottom: 0;\n}\ndl.py > dt, dl.cpp > dt, dl.c > dt, dl.js > dt {\n  color: var(--color-api-overall);\n}\ndl.py > dt:target, dl.cpp > dt:target, dl.c > dt:target, dl.js > dt:target {\n  background-color: var(--color-api-highlight-on-target);\n}\n\ndl.class > dt,\ndl.function > dt,\ndl.method > dt,\ndl.enum > dt,\ndl.enum-class > dt,\ndl.enum-struct > dt,\ndl.type > dt,\ndl.exception > dt {\n  padding-left: 3em;\n  text-indent: -3em;\n}\ndl.class > dt .property,\ndl.function > dt .property,\ndl.method > dt .property,\ndl.enum > dt .property,\ndl.enum-class > dt .property,\ndl.enum-struct > dt .property,\ndl.type > dt .property,\ndl.exception > dt .property {\n  color: var(--color-api-keyword);\n  padding-right: 0.25rem;\n}\ndl.class > dt a.reference.internal .viewcode-link,\ndl.function > dt a.reference.internal .viewcode-link,\ndl.method > dt a.reference.internal .viewcode-link,\ndl.enum > dt a.reference.internal .viewcode-link,\ndl.enum-class > dt a.reference.internal .viewcode-link,\ndl.enum-struct > dt a.reference.internal .viewcode-link,\ndl.type > dt a.reference.internal .viewcode-link,\ndl.exception > dt a.reference.internal .viewcode-link {\n  width: 3.5rem;\n  font-size: var(--font-size--small);\n}\n\n.sig-name {\n  font-weight: bold;\n  color: var(--color-api-name);\n}\n\n.sig-prename {\n  color: var(--color-api-pre-name);\n}\n\n.sig-paren {\n  color: var(--color-api-paren);\n}\n\n.sig-param {\n  font-style: normal;\n}\n\n.versionmodified {\n  font-style: italic;\n}\n\ndiv.versionadded p, div.versionchanged p, div.deprecated p {\n  margin-top: 0.125rem;\n  margin-bottom: 0.125rem;\n}\n\n.viewcode-link, .viewcode-back {\n  float: right;\n  text-align: right;\n}\n\narticle p.caption,\ntable > caption,\n.code-block-caption {\n  font-size: var(--font-size--small);\n  text-align: center;\n}\n\n.toctree-wrapper.compound .caption, .toctree-wrapper.compound :not(.caption) > .caption-text {\n  font-size: var(--font-size--small);\n  text-transform: uppercase;\n  text-align: initial;\n  margin-bottom: 0;\n}\n.toctree-wrapper.compound > ul {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n\ncode.literal {\n  background: var(--color-inline-code-background);\n  border-radius: 0.2em;\n  font-size: var(--font-size--small--2);\n  padding: 0.1em 0.2em;\n}\n\narticle div[class*=\" highlight-\"],\narticle div[class^=highlight-] {\n  margin: 1em 0;\n  display: flex;\n}\n\npre {\n  margin: 0;\n  padding: 0;\n}\narticle pre {\n  line-height: 1.5;\n}\npre.literal-block, .highlight pre {\n  font-size: var(--code-font-size);\n  padding: 0.625rem 0.875rem;\n  overflow: auto;\n}\npre.literal-block {\n  margin-top: 1rem;\n  margin-bottom: 1rem;\n  border-radius: 0.2rem;\n  background-color: var(--color-code-background);\n  color: var(--color-code-foreground);\n}\n\n.highlight {\n  width: 100%;\n  border-radius: 0.2rem;\n}\n\n.highlighttable {\n  width: 100%;\n  display: block;\n}\n.highlighttable tbody {\n  display: block;\n}\n.highlighttable tr {\n  display: flex;\n}\n.highlighttable td.linenos {\n  background-color: var(--color-code-background);\n  color: var(--color-code-foreground);\n  padding: 0.625rem 0.875rem;\n  padding-right: 0;\n  border-top-left-radius: 0.2rem;\n  border-bottom-left-radius: 0.2rem;\n}\n.highlighttable .linenodiv {\n  font-size: var(--code-font-size);\n  padding-right: 0.5rem;\n  box-shadow: -0.0625rem 0 var(--color-code-foreground) inset;\n  opacity: 0.5;\n}\n.highlighttable td.code {\n  padding: 0;\n  display: block;\n  flex: 1;\n  overflow: hidden;\n}\n.highlighttable td.code .highlight {\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n\n.footnote-reference {\n  font-size: var(--font-size--small--4);\n  vertical-align: super;\n}\n\ndl.footnote {\n  font-size: var(--font-size--small);\n  color: var(--color-foreground-secondary);\n  display: grid;\n  grid-template-columns: max-content auto;\n}\ndl.footnote dt {\n  margin: 0;\n}\ndl.footnote dt > .fn-backref {\n  margin-left: 0.25rem;\n}\ndl.footnote dt:after {\n  content: \":\";\n}\ndl.footnote dt .brackets:before {\n  content: \"[\";\n}\ndl.footnote dt .brackets:after {\n  content: \"]\";\n}\n\nimg {\n  box-sizing: border-box;\n  max-width: 100%;\n  height: auto;\n}\n\narticle figure, article .figure {\n  border-radius: 0.2rem;\n  margin: 0;\n}\narticle figure :last-child, article .figure :last-child {\n  margin-bottom: 0;\n}\narticle .align-left {\n  float: left;\n  clear: left;\n  margin: 0 1rem 1rem;\n}\narticle .align-right {\n  float: right;\n  clear: right;\n  margin: 0 1rem 1rem;\n}\narticle .align-default,\narticle .align-center {\n  display: block;\n  text-align: center;\n  margin-left: auto;\n  margin-right: auto;\n}\n\n.genindex-jumpbox, .domainindex-jumpbox {\n  border-top: 1px solid var(--color-background-border);\n  border-bottom: 1px solid var(--color-background-border);\n  padding: 0.25rem;\n}\n\n.genindex-section h2, .domainindex-section h2 {\n  margin-top: 0.75rem;\n  margin-bottom: 0.5rem;\n}\n.genindex-section ul, .domainindex-section ul {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n\nul,\nol {\n  padding-left: 1.2rem;\n  margin-top: 1rem;\n  margin-bottom: 1rem;\n}\nul li > p:first-child,\nol li > p:first-child {\n  margin-top: 0.25rem;\n  margin-bottom: 0.25rem;\n}\nul li > p:last-child,\nol li > p:last-child {\n  margin-top: 0.25rem;\n}\nul li > ul,\nul li > ol,\nol li > ul,\nol li > ol {\n  margin-top: 0.5rem;\n  margin-bottom: 0.5rem;\n}\n\n.simple li > ul,\n.simple li > ol,\n.toctree-wrapper li > ul,\n.toctree-wrapper li > ol {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n\n.field-list dt,\n.option-list dt,\ndl:not([class]) dt,\ndl.simple dt,\ndl.footnote dt,\ndl.glossary dt {\n  font-weight: 500;\n  margin-top: 0.25rem;\n}\n.field-list dt + dt,\n.option-list dt + dt,\ndl:not([class]) dt + dt,\ndl.simple dt + dt,\ndl.footnote dt + dt,\ndl.glossary dt + dt {\n  margin-top: 0;\n}\n.field-list dt .classifier::before,\n.option-list dt .classifier::before,\ndl:not([class]) dt .classifier::before,\ndl.simple dt .classifier::before,\ndl.footnote dt .classifier::before,\ndl.glossary dt .classifier::before {\n  content: \":\";\n  margin-left: 0.2rem;\n  margin-right: 0.2rem;\n}\n.field-list dd > p:first-child,\n.field-list dd ul,\n.option-list dd > p:first-child,\n.option-list dd ul,\ndl:not([class]) dd > p:first-child,\ndl:not([class]) dd ul,\ndl.simple dd > p:first-child,\ndl.simple dd ul,\ndl.footnote dd > p:first-child,\ndl.footnote dd ul,\ndl.glossary dd > p:first-child,\ndl.glossary dd ul {\n  margin-top: 0.125rem;\n}\n.field-list dd ul,\n.option-list dd ul,\ndl:not([class]) dd ul,\ndl.simple dd ul,\ndl.footnote dd ul,\ndl.glossary dd ul {\n  margin-bottom: 0.125rem;\n}\n\n.math-wrapper {\n  width: 100%;\n  overflow-x: auto;\n}\n\nabbr[title] {\n  cursor: help;\n}\n\nkbd:not(.compound) {\n  margin: 0 0.2rem;\n  padding: 0 0.2rem;\n  border-radius: 0.2rem;\n  border: 1px solid var(--color-foreground-border);\n  color: var(--color-foreground-primary);\n  vertical-align: text-bottom;\n  font-size: var(--font-size--small--3);\n  display: inline-block;\n  box-shadow: 0 0.0625rem 0 rgba(0, 0, 0, 0.2), inset 0 0 0 0.125rem var(--color-background-primary);\n  background-color: var(--color-background-secondary);\n}\n\nblockquote {\n  border-left: 1px solid var(--color-foreground-border);\n  font-style: italic;\n  margin-left: 0.5rem;\n  margin-right: 0.5rem;\n  padding: 0.5rem 1rem;\n}\n\n.reference img {\n  vertical-align: middle;\n}\n\nh1 > .headerlink,\nh2 > .headerlink,\nh3 > .headerlink,\nh4 > .headerlink,\nh5 > .headerlink,\nh6 > .headerlink,\ndl dt > .headerlink,\np.caption > .headerlink,\ntable > caption > .headerlink,\n.code-block-caption > .headerlink {\n  font-weight: 100;\n  margin-left: 0.5rem;\n  visibility: hidden;\n  text-decoration: none;\n}\nh1:hover > .headerlink,\nh2:hover > .headerlink,\nh3:hover > .headerlink,\nh4:hover > .headerlink,\nh5:hover > .headerlink,\nh6:hover > .headerlink,\ndl dt:hover > .headerlink,\np.caption:hover > .headerlink,\ntable > caption:hover > .headerlink,\n.code-block-caption:hover > .headerlink {\n  visibility: visible;\n}\n\n:target > h1:first-child > .headerlink,\n:target > h2:first-child > .headerlink,\n:target > h3:first-child > .headerlink,\n:target > h4:first-child > .headerlink,\n:target > h5:first-child > .headerlink,\n:target > h6:first-child > .headerlink {\n  visibility: visible;\n}\n\np.rubric {\n  text-transform: uppercase;\n  font-size: var(--font-size--small);\n}\n\narticle .sidebar {\n  float: right;\n  clear: right;\n  width: 30%;\n  margin-left: 1rem;\n  margin-right: 0;\n  border-radius: 0.2rem;\n  background-color: var(--color-background-secondary);\n  border: var(--color-background-border) 1px solid;\n}\narticle .sidebar > * {\n  padding-left: 1rem;\n  padding-right: 1rem;\n}\narticle .sidebar > ul, article .sidebar > ol {\n  padding-left: 2.2rem;\n}\narticle .sidebar .sidebar-title {\n  margin: 0;\n  padding: 0.5rem 1rem;\n  border-bottom: var(--color-background-border) 1px solid;\n  font-weight: 500;\n}\n\n.table-wrapper {\n  width: 100%;\n  overflow-x: auto;\n  margin-top: 1rem;\n  margin-bottom: 0.5rem;\n  padding: 0.2rem 0.2rem 0.75rem;\n}\n\ntable.docutils {\n  border-radius: 0.2rem;\n  border-spacing: 0;\n  border-collapse: collapse;\n  box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1);\n}\ntable.docutils th {\n  background: var(--color-background-secondary);\n}\ntable.docutils td,\ntable.docutils th {\n  padding: 0 0.25rem;\n  border-left: 1px solid var(--color-background-border);\n  border-right: 1px solid var(--color-background-border);\n  border-bottom: 1px solid var(--color-background-border);\n}\ntable.docutils td p,\ntable.docutils th p {\n  margin: 0.25rem;\n}\ntable.docutils td:first-child,\ntable.docutils th:first-child {\n  border-left: none;\n}\ntable.docutils td:last-child,\ntable.docutils th:last-child {\n  border-right: none;\n}\n\n.guilabel {\n  background-color: var(--color-guilabel-background);\n  border: 1px solid var(--color-guilabel-border);\n  color: var(--color-guilabel-text);\n  padding: 0 0.3em;\n  border-radius: 0.5em;\n  font-size: 0.9em;\n}\n\nfooter {\n  font-size: var(--font-size--small);\n  display: flex;\n  flex-direction: column;\n  margin-top: 2rem;\n}\n\n.related-information {\n  margin-top: 1rem;\n  padding: 0.75rem;\n  padding-bottom: 1rem;\n  border-top: 1px solid var(--color-background-border);\n  line-height: 1.5;\n  color: var(--color-foreground-secondary);\n}\n\n.related-pages a {\n  display: flex;\n  align-items: center;\n  text-decoration: none;\n}\n.related-pages a:hover .page-info .title {\n  text-decoration: underline;\n  color: var(--color-link);\n  text-decoration-color: var(--color-link-underline);\n}\n.related-pages a svg,\n.related-pages a svg > use {\n  flex-shrink: 0;\n  color: var(--color-foreground-border);\n  width: 0.75rem;\n  height: 0.75rem;\n  margin: 0 0.5rem;\n}\n.related-pages a.next-page {\n  max-width: 50%;\n  float: right;\n  clear: right;\n  text-align: right;\n}\n.related-pages a.prev-page {\n  max-width: 50%;\n  float: left;\n  clear: left;\n}\n.related-pages a.prev-page svg {\n  transform: rotate(180deg);\n}\n\n.page-info {\n  display: flex;\n  flex-direction: column;\n}\n.next-page .page-info {\n  align-items: flex-end;\n}\n.page-info .context {\n  display: flex;\n  align-items: center;\n  padding-bottom: 0.1rem;\n  color: var(--color-foreground-muted);\n  font-size: var(--font-size--small);\n  text-decoration: none;\n}\n\nul.search {\n  padding-left: 0;\n  list-style: none;\n}\nul.search li {\n  padding: 1rem 0;\n  border-bottom: 1px solid var(--color-background-border);\n}\n\n.highlighted {\n  background-color: var(--color-highlighted-background);\n  color: var(--color-highlighted-text);\n}\n\n.sidebar-brand {\n  display: flex;\n  flex-direction: column;\n  flex-shrink: 0;\n  padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal);\n  text-decoration: none;\n}\n\n.sidebar-brand-text {\n  overflow-wrap: break-word;\n  margin: var(--sidebar-item-spacing-vertical) 0;\n  font-size: 1.5rem;\n}\n\n.sidebar-logo-container {\n  margin: var(--sidebar-item-spacing-vertical) 0;\n}\n\n.sidebar-logo {\n  margin: 0 auto;\n  display: block;\n  max-width: 100%;\n}\n\n.sidebar-search-container {\n  display: flex;\n  align-items: center;\n  margin-top: var(--sidebar-search-space-above);\n  position: relative;\n}\n.sidebar-search-container::before {\n  content: \"\";\n  position: absolute;\n  left: var(--sidebar-item-spacing-horizontal);\n  width: var(--sidebar-search-icon-size);\n  height: var(--sidebar-search-icon-size);\n}\n\n.sidebar-search {\n  box-sizing: border-box;\n  padding-top: var(--sidebar-search-input-spacing-vertical);\n  padding-bottom: var(--sidebar-search-input-spacing-vertical);\n  padding-right: var(--sidebar-search-input-spacing-horizontal);\n  padding-left: calc(var(--sidebar-item-spacing-horizontal) + var(--sidebar-search-input-spacing-horizontal) + var(--sidebar-search-icon-size));\n  width: 100%;\n  color: var(--color-sidebar-search-foreground);\n  background: transparent;\n  z-index: 10;\n}\n.sidebar-search:focus {\n  outline: none;\n}\n.sidebar-search::placeholder {\n  font-size: var(--sidebar-search-input-font-size);\n}\n\n.sidebar-tree {\n  font-size: var(--sidebar-item-font-size);\n  margin-top: var(--sidebar-tree-space-above);\n  margin-bottom: var(--sidebar-item-spacing-vertical);\n}\n.sidebar-tree ul {\n  padding: 0;\n  margin-top: 0;\n  margin-bottom: 0;\n  display: flex;\n  flex-direction: column;\n  list-style: none;\n}\n.sidebar-tree li {\n  position: relative;\n  margin: 0;\n}\n.sidebar-tree li > ul {\n  margin-left: var(--sidebar-item-spacing-horizontal);\n}\n.sidebar-tree .reference {\n  box-sizing: border-box;\n  display: inline-block;\n  line-height: var(--sidebar-item-line-height);\n  height: 100%;\n  width: 100%;\n  padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal);\n}\n.sidebar-tree .reference.external::after {\n  content: url('data:image/svg+xml,<svg width=\"12\" height=\"12\" xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\" stroke-width=\"1.5\" stroke=\"%23607D8B\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path stroke=\"none\" d=\"M0 0h24v24H0z\"/><path d=\"M11 7h-5a2 2 0 0 0 -2 2v9a2 2 0 0 0 2 2h9a2 2 0 0 0 2 -2v-5\" /><line x1=\"10\" y1=\"14\" x2=\"20\" y2=\"4\" /><polyline points=\"15 4 20 4 20 9\" /></svg>');\n  margin: 0 0.25rem;\n  vertical-align: middle;\n}\n.sidebar-tree .current-page > .reference {\n  font-weight: bold;\n}\n.sidebar-tree label {\n  position: absolute;\n  top: 0;\n  right: 0;\n  height: var(--sidebar-item-height);\n  width: var(--sidebar-expander-width);\n  cursor: pointer;\n  display: flex;\n  justify-content: center;\n  align-items: center;\n}\n.sidebar-tree .caption, .sidebar-tree :not(.caption) > .caption-text {\n  font-size: var(--sidebar-caption-font-size);\n  font-weight: bold;\n  text-transform: uppercase;\n  margin: var(--sidebar-caption-space-above) 0 0 0;\n  padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal);\n}\n.sidebar-tree li.has-children > .reference {\n  padding-right: var(--sidebar-expander-width);\n}\n\n.toctree-checkbox {\n  position: absolute;\n  display: none;\n}\n\n.toctree-checkbox ~ ul {\n  display: none;\n}\n.toctree-checkbox ~ label .icon svg {\n  transform: rotate(90deg);\n}\n\n.toctree-checkbox:checked ~ ul {\n  display: block;\n}\n.toctree-checkbox:checked ~ label .icon svg {\n  transform: rotate(-90deg);\n}\n\n.toc-title-container {\n  padding: var(--toc-title-padding);\n  padding-top: var(--toc-spacing-vertical);\n}\n\n.toc-title {\n  font-size: var(--toc-title-font-size);\n  padding-left: var(--toc-spacing-horizontal);\n  text-transform: uppercase;\n}\n\n.no-toc {\n  display: none;\n}\n\n.toc-tree-container {\n  padding-bottom: var(--toc-spacing-vertical);\n}\n\n.toc-tree {\n  font-size: var(--toc-font-size);\n  line-height: 1.3;\n  padding-left: calc(var(--toc-spacing-horizontal) - var(--toc-item-spacing-horizontal));\n}\n.toc-tree > ul > li:first-child {\n  padding-top: 0;\n}\n.toc-tree > ul > li:first-child > ul {\n  padding-left: 0;\n}\n.toc-tree > ul > li:first-child > a {\n  display: none;\n}\n.toc-tree ul {\n  list-style-type: none;\n  margin-top: 0;\n  margin-bottom: 0;\n  padding-left: var(--toc-item-spacing-horizontal);\n}\n.toc-tree li {\n  padding-top: var(--toc-item-spacing-vertical);\n}\n.toc-tree li .reference {\n  word-break: break-word;\n  text-decoration: none;\n}\n.toc-tree li.scroll-current > .reference {\n  font-weight: bold;\n}\n\n.toc-scroll {\n  max-height: 100vh;\n  overflow-y: scroll;\n}\n\n.contents:not(.this-will-duplicate-information-and-it-is-still-useful-here) {\n  color: var(--color-problematic);\n  background: rgba(255, 0, 0, 0.25);\n}\n.contents:not(.this-will-duplicate-information-and-it-is-still-useful-here)::before {\n  content: \"ERROR: Adding a table of contents in Furo-based documentation is unnecessary, and does not work well with existing styling. Add a 'this-will-duplicate-information-and-it-is-still-useful-here' class, if you want an escape hatch.\";\n}","// This file contains the styling for making the content throughout the page,\n// including fonts, paragraphs, headings and spacing among these elements.\n\nhtml\n  font-family: var(--font-stack)\npre,\ncode,\nkbd,\nsamp\n  font-family: var(--font-stack--monospace)\n\n// Make fonts look slightly nicer.\nbody\n  -webkit-font-smoothing: antialiased\n  -moz-osx-font-smoothing: grayscale\n\n// Line height from Bootstrap 4.1\narticle\n  line-height: 1.5\n\n//\n// Headings\n//\nh1\n  font-size: 2.25rem\nh2\n  font-size: 1.75rem\nh3\n  font-size: 1.25rem\nh4\n  font-size: 1rem\nh5\n  font-size: 0.875rem\nh6\n  font-size: 0.75rem\n\n// Main headings\nh1,\nh2\n  margin-top: 1.5rem\n  margin-bottom: 1rem\n  font-weight: 300\n\nh3\n  margin-top: 1.5rem\n  margin-bottom: 0.75rem\n  font-weight: 400\n\n// You're in-too-deep headings\nh4,\nh5,\nh6\n  text-transform: uppercase\n  margin-top: 1rem\n  margin-bottom: 0.5rem\n  font-weight: 700\n\n// Paragraph\np\n  margin-top: 0.75rem\n  margin-bottom: 0.75rem\n\n// Horizontal rules\nhr.docutils\n  height: 1px\n  padding: 0\n  margin: 2rem 0\n  background-color: var(--color-background-border)\n  border: 0\n\n.centered\n  text-align: center\n","// This file defines all the knobs that can be tweaked by end users.\n\n// Overall Layout Variables\n//\n// These are set here, since CSS variables can't be used in media queries,\n// which is where these would be used.\n$content-padding: 3em;\n$content-padding--small: 1em;\n$content-width: 46em;\n$sidebar-width: 15em;\n$full-width: $content-width + 2 * ($content-padding + $sidebar-width);\n\n// Admonitions\n//\n// Structure of these: (color, key-in-$icons).\n// The colors are translated into CSS variables below, and icons are used for\n// the declarations.\n$admonition-default: #651fff \"abstract\";\n$admonitions: (\n  // Each of these has an reST directives for it.\n  \"caution\": #ff9100 \"spark\",\n  \"warning\": #ff9100 \"warning\",\n  \"danger\": #ff5252 \"spark\",\n  \"attention\": #ff5252 \"warning\",\n  \"error\": #ff5252 \"failure\",\n  \"hint\": #00c852 \"question\",\n  \"important\": #00bfa5 \"flame\",\n  \"note\": #00b0ff \"pencil\",\n  \"seealso\": #448aff \"info\",\n  \"tip\": #00c852 \"info\",\n  \"admonition-todo\": #808080 \"pencil\"\n);\n\n:root {\n  //////////////////////////////////////////////////////////////////////////////\n  // Fonts\n  //////////////////////////////////////////////////////////////////////////////\n  // These are adapted from https://systemfontstack.com/\n  --font-stack: -apple-system, BlinkMacSystemFont, Segoe UI, Helvetica, Arial,\n    sans-serif, Apple Color Emoji, Segoe UI Emoji;\n  --font-stack--monospace: \"SFMono-Regular\", Menlo, Consolas, Monaco,\n    Liberation Mono, Lucida Console, monospace;\n\n  --font-size--normal: 100%;\n  --font-size--small: 87.5%;\n  --font-size--small--2: 81.25%;\n  --font-size--small--3: 75%;\n  --font-size--small--4: 62.5%;\n\n  // Sidebar\n  --sidebar-caption-font-size: var(--font-size--small--2);\n  --sidebar-item-font-size: var(--font-size--small);\n  --sidebar-search-input-font-size: var(--font-size--small);\n\n  // Table of Contents\n  --toc-font-size: var(--font-size--small--3);\n  --toc-font-size--mobile: var(--font-size--normal);\n  --toc-title-font-size: var(--font-size--small--4);\n\n  // Admonitions\n  --admonition-font-size: 0.8125rem;\n  --admonition-title-font-size: 0.8125rem;\n\n  // Code\n  --code-font-size: var(--font-size--small--2);\n\n  //////////////////////////////////////////////////////////////////////////////\n  // Spacing\n  //////////////////////////////////////////////////////////////////////////////\n  --header-height: calc(\n    var(--sidebar-item-line-height) + 4 * #{var(--sidebar-item-spacing-vertical)}\n  );\n\n  // Sidebar\n  --sidebar-tree-space-above: 1.5rem;\n  --sidebar-caption-space-above: 1rem;\n\n  --sidebar-item-line-height: 1rem;\n  --sidebar-item-spacing-vertical: 0.5rem;\n  --sidebar-item-spacing-horizontal: 1rem;\n  --sidebar-item-height: calc(\n    var(--sidebar-item-line-height) + 2 *#{var(--sidebar-item-spacing-vertical)}\n  );\n\n  --sidebar-expander-width: var(--sidebar-item-height); // be square\n\n  --sidebar-search-space-above: 0.5rem;\n  --sidebar-search-input-spacing-vertical: 0.5rem;\n  --sidebar-search-input-spacing-horizontal: 0.5rem;\n  --sidebar-search-input-height: 1rem;\n  --sidebar-search-icon-size: var(--sidebar-search-input-height);\n\n  // Table of Contents\n  --toc-title-padding: 0.25rem 0;\n  --toc-spacing-vertical: 1.5rem;\n  --toc-spacing-horizontal: 1.5rem;\n  --toc-item-spacing-vertical: 0.4rem;\n  --toc-item-spacing-horizontal: 1rem;\n\n  //////////////////////////////////////////////////////////////////////////////\n  // Icons\n  //////////////////////////////////////////////////////////////////////////////\n  @each $name, $glyph in $icons {\n    --icon-#{$name}: #{$glyph};\n  }\n  --icon-admonition-default: var(--icon-#{nth($admonition-default, 2)});\n\n  //////////////////////////////////////////////////////////////////////////////\n  // Overall Colors\n  //     To give the user more control, avoid using these colors directly\n  //     outside of this file. Instead, try to define more variables here that\n  //     based on these, and use them in the actual stylesheets.\n  //////////////////////////////////////////////////////////////////////////////\n  --color-problematic: #b30000;\n\n  // Base Colors\n  --color-foreground-primary: black; // for main text and headings\n  --color-foreground-secondary: #5a5c63; // for secondary text\n  --color-foreground-muted: #72747e; // for muted text\n  --color-foreground-border: #878787; // for content borders\n\n  --color-background-primary: white; // for content\n  --color-background-secondary: #f8f9fb; // for navigation + ToC\n  --color-background-hover: #efeff4ff; // for navigation-item hover\n  --color-background-hover--transparent: #efeff400;\n  --color-background-border: #eeebee; // for UI borders\n\n  // Announcements\n  --color-announcement-background: #000000dd;\n  --color-announcement-text: #eeebee;\n\n  // Brand colors\n  --color-brand-primary: #2962ff;\n  --color-brand-content: #2a5adf;\n\n  // API documentation\n  --color-api-overall: var(--color-foreground-muted);\n  --color-api-name: var(--color-brand-content);\n  --color-api-pre-name: var(--color-brand-content);\n  --color-api-paren: var(--color-foreground-secondary);\n  --color-api-keyword: var(--color-problematic);\n  --color-api-highlight-on-target: #ffffcc;\n\n  // Inline code background\n  --color-inline-code-background: var(--color-background-secondary);\n\n  // Highlighted text (search)\n  --color-highlighted-background: #ddeeff;\n  --color-highlighted-text: var(--color-foreground-primary);\n\n  // GUI Labels\n  --color-guilabel-background: #ddeeff80;\n  --color-guilabel-border: #bedaf580;\n  --color-guilabel-text: var(--color-foreground-primary);\n\n  // Admonitions!\n  --color-admonition-background: transparent;\n  --color-admonition-title: #{nth($admonition-default, 1)};\n  --color-admonition-title-background: #{rgba(nth($admonition-default, 1), 0.1)};\n\n  @each $name, $values in $admonitions {\n    --color-admonition-title--#{$name}: #{nth($values, 1)};\n    --color-admonition-title-background--#{$name}: #{rgba(\n        nth($values, 1),\n        0.1\n      )};\n  }\n\n  //////////////////////////////////////////////////////////////////////////////\n  // Everything below this should be one of:\n  // - var(...)\n  // - *-gradient(...)\n  // - special literal values (eg: transparent, none)\n  //////////////////////////////////////////////////////////////////////////////\n\n  // Header\n  --color-header-background: var(--color-background-primary);\n  --color-header-border: var(--color-background-border);\n  --color-header-text: var(--color-foreground-primary);\n\n  // Sidebar (left)\n  --color-sidebar-background: var(--color-background-secondary);\n  --color-sidebar-background-border: var(--color-background-border);\n\n  --color-sidebar-brand-text: var(--color-foreground-primary);\n  --color-sidebar-caption-text: var(--color-foreground-muted);\n  --color-sidebar-link-text: var(--color-foreground-secondary);\n  --color-sidebar-link-text--top-level: var(--color-brand-primary);\n\n  --color-sidebar-item-background: var(--color-sidebar-background);\n  --color-sidebar-item-background--current: var(\n    --color-sidebar-item-background\n  );\n  --color-sidebar-item-background--hover: linear-gradient(\n    90deg,\n    var(--color-background-hover--transparent) 0%,\n    var(--color-background-hover) var(--sidebar-item-spacing-horizontal),\n    var(--color-background-hover) 100%\n  );\n\n  --color-sidebar-item-expander-background: transparent;\n  --color-sidebar-item-expander-background--hover: var(\n    --color-background-hover\n  );\n\n  --color-sidebar-search-text: var(--color-foreground-primary);\n  --color-sidebar-search-background: var(--color-background-secondary);\n  --color-sidebar-search-background--focus: var(--color-background-primary);\n  --color-sidebar-search-border: var(--color-background-border);\n  --color-sidebar-search-icon: var(--color-foreground-muted);\n\n  // Table of Contents\n  --color-toc-background: var(--color-background-primary);\n  --color-toc-title-text: var(--color-foreground-muted);\n  --color-toc-item-text: var(--color-foreground-secondary);\n  --color-toc-item-text--hover: var(--color-foreground-primary);\n  --color-toc-item-text--active: var(--color-brand-primary);\n\n  // Actual page contents\n  --color-content-foreground: var(--color-foreground-primary);\n  --color-content-background: transparent;\n\n  --color-link: var(--color-brand-content);\n  --color-link--hover: var(--color-brand-content);\n  --color-link-underline: var(--color-background-border);\n  --color-link-underline--hover: var(--color-foreground-border);\n}\n\n@media (prefers-color-scheme: dark) {\n  :root {\n    --color-problematic: #e25050;\n\n    // Base Colors\n    --color-foreground-primary: #ffffffd9; // for main text and headings\n    --color-foreground-secondary: #9ca0a5; // for secondary text\n    --color-foreground-muted: #81868d; // for muted text\n    --color-foreground-border: #666666; // for content borders\n\n    --color-background-primary: #131416; // for content\n    --color-background-secondary: #1a1c1e; // for navigation + ToC\n    --color-background-hover: #1e2124ff; // for navigation-item hover\n    --color-background-hover--transparent: #1e212400;\n    --color-background-border: #303335; // for UI borders\n\n    // Announcements\n    --color-announcement-background: #000000dd;\n    --color-announcement-text: #eeebee;\n\n    // Brand colors\n    --color-brand-primary: #2b8cee;\n    --color-brand-content: #368ce2;\n\n    // Highlighted text (search)\n    --color-highlighted-background: #083563;\n\n    // GUI Labels\n    --color-guilabel-background: #08356380;\n    --color-guilabel-border: #13395f80;\n\n    // API documentation\n    --color-api-highlight-on-target: #333300;\n\n    // Admonitions\n    --color-admonition-background: #18181a;\n  }\n}\n","// This file contains the styles for the overall layouting of the documentation\n// skeleton, including the responsive changes as well as sidebar toggles.\n//\n// This is implemented as a mobile-last design, which isn't ideal, but it is\n// reasonably good-enough and I got pretty tired by the time I'd finished this\n// to move the rules around to fix this. Shouldn't take more than 3-4 hours,\n// if you know what you're doing tho.\n\n// HACK: Not all browsers account for the scrollbar width in media queries.\n// This results in horizontal scrollbars in the breakpoint where we go\n// from displaying everything to hiding the ToC. We accomodate for this by\n// adding a bit of padding to the TOC drawer, disabling the horizontal\n// scrollbar and allowing the scrollbars to cover the padding.\n// https://www.456bereastreet.com/archive/201301/media_query_width_and_vertical_scrollbars/\n// HACK: Always having the scrollbar visible, prevents certain browsers from\n// causing the content to stutter horizontally between taller-than-viewport and\n// not-taller-than-viewport pages.\nhtml\n  overflow-x: hidden\n  overflow-y: scroll\n\n:not(html):not(body)\n  // Override Firefox scrollbar style\n  scrollbar-width: thin\n  scrollbar-color: var(--color-foreground-border) transparent\n\n  // Override Chrome scrollbar styles\n  &::-webkit-scrollbar\n    width: 0.25rem\n    height: 0.25rem\n  &::-webkit-scrollbar-thumb\n    background-color: var(--color-foreground-border)\n    border-radius: 0.125rem\n\n//\n// Overalls\n//\nhtml,\nbody\n  height: 100%\n\n.page\n  display: flex\n  // fill the viewport for pages with little content.\n  min-height: 100%\n\n.mobile-header\n  width: 100%\n  height: var(--header-height)\n  background-color: var(--color-header-background)\n  color: var(--color-header-text)\n  border-bottom: 1px solid var(--color-header-border)\n\n  // Looks like sub-script/super-script have this, and we need this to\n  // be \"on top\" of those.\n  z-index: 10\n\n  // Add shadow when scrolled\n  &.scrolled\n    border-bottom: none\n    box-shadow: 0 0 0.2rem rgba(0, 0, 0, 0.1), 0 0.2rem 0.4rem rgba(0, 0, 0, 0.2)\n\n  // We don't show the header on large screens.\n  display: none\n\n.main\n  display: flex\n  flex: 1\n\n// Sidebar (left) also covers the entire left portion of screen.\n.sidebar-drawer\n  box-sizing: border-box\n\n  display: flex\n  justify-content: flex-end\n  // These next two lines took me two days to figure out.\n  width: calc((100% - #{$full-width}) / 2 + #{$sidebar-width})\n  min-width: $sidebar-width\n\n// Scroll-along sidebars\n.sidebar-container,\n.toc-drawer\n  box-sizing: border-box\n  width: $sidebar-width\n\n.toc-drawer\n  // See HACK described on top of this document\n  padding-right: 1rem\n\n.sidebar-sticky,\n.toc-sticky\n  position: sticky\n  top: 0\n  height: min(100%, 100vh)\n  height: 100vh\n\n  display: flex\n  flex-direction: column\n\n.sidebar-scroll,\n.toc-scroll\n  flex-shrink: 1\n\n  overflow: auto\n  scroll-behavior: smooth\n\n// Central items.\n.content\n  padding: 0 $content-padding\n  width: $content-width\n\n  display: flex\n  flex-direction: column\n  justify-content: space-between\n\n.icon\n  display: inline-block\n  height: 1rem\n  width: 1rem\n  svg\n    width: 100%\n    height: 100%\n\n//\n// Accommodate announcement banner\n//\n.announcement\n  height: var(--header-height)\n  display: flex\n  align-items: center\n  overflow-x: auto\n  & + .page\n    min-height: calc(100% - var(--header-height))\n\n.announcement-content\n  box-sizing: border-box\n  padding: 0.5rem\n  min-width: 100%\n  white-space: nowrap\n  text-align: center\n\n////////////////////////////////////////////////////////////////////////////////\n// Toggles for elements\n////////////////////////////////////////////////////////////////////////////////\n.toc-overlay-icon, .nav-overlay-icon\n  display: none\n  cursor: pointer\n\n  .icon\n    color: var(--color-foreground-secondary)\n    height: 1.25rem\n    width: 1.25rem\n\n.toc-header-icon, .nav-overlay-icon\n  // for when we set display: flex\n  justify-content: center\n  align-items: center\n\n.toc-content-icon\n  height: 1.5rem\n  width: 1.5rem\n  margin-top: 1.5rem\n  float: right\n\n.sidebar-toggle\n  position: absolute\n  display: none\n// <debugging things>\n.sidebar-toggle[name=\"__toc\"]\n  left: 20px\n.sidebar-toggle:checked\n  left: 40px\n// </debugging things>\n\n.overlay\n  position: fixed\n  top: 0\n  width: 0\n  height: 0\n\n  transition: width 0ms, height 0ms, opacity 250ms ease-out\n\n  opacity: 0\n  background-color: rgba(0, 0, 0, 0.54)\n.sidebar-overlay\n  z-index: 20\n.toc-overlay\n  z-index: 40\n\n// Keep things on top and smooth.\n.sidebar-drawer\n  z-index: 30\n  transition: left 250ms ease-in-out\n.toc-drawer\n  z-index: 50\n  transition: right 250ms ease-in-out\n\n// Show the Sidebar\n#__navigation:checked\n  & ~ .sidebar-overlay\n    width: 100%\n    height: 100%\n    opacity: 1\n  & ~ .page\n    .sidebar-drawer\n      top: 0\n      left: 0\n      // Show the toc sidebar\n#__toc:checked\n  & ~ .toc-overlay\n    width: 100%\n    height: 100%\n    opacity: 1\n  & ~ .page\n    .toc-drawer\n      top: 0\n      right: 0\n\n////////////////////////////////////////////////////////////////////////////////\n// Responsive layouting\n////////////////////////////////////////////////////////////////////////////////\n// Make things a bit bigger on bigger screens.\n@media (min-width: $full-width + $sidebar-width)\n  html\n    font-size: 110%\n\n@media (max-width: $full-width)\n  // Collapse \"toc\" into the icon.\n  .toc-content-icon\n    display: flex\n  .toc-drawer\n    position: fixed\n    height: 100vh\n    top: 0\n    right: -$sidebar-width\n    border-left: 1px solid var(--color-background-muted)\n  .toc-tree\n    border-left: none\n    font-size: var(--toc-font-size--mobile)\n\n  // Accomodate for a changed content width.\n  .sidebar-drawer\n    width: calc((100% - #{$full-width - $sidebar-width}) / 2 + #{$sidebar-width})\n\n@media (max-width: $full-width - $sidebar-width)\n  // Collapse \"navigation\".\n  .nav-overlay-icon\n    display: flex\n  .sidebar-drawer\n    position: fixed\n    height: 100vh\n    width: $sidebar-width\n\n    top: 0\n    left: -$sidebar-width\n\n  // Swap which toc icon is used.\n  .toc-header-icon\n    display: flex\n  .toc-content-icon\n    display: none\n\n  // Show the header.\n  .mobile-header\n    position: sticky\n    top: 0\n    display: flex\n    justify-content: space-between\n    align-items: center\n\n    .header-left,\n    .header-right\n      display: flex\n      height: var(--header-height)\n      width: var(--header-height)\n      label\n        height: 100%\n        width: 100%\n\n  // Add a scroll margin for the content\n  :target\n    scroll-margin-top: var(--header-height)\n\n  // Center the page, and accommodate for the header.\n  .page\n    flex-direction: column\n    justify-content: center\n  .content\n    margin-left: auto\n    margin-right: auto\n\n@media (max-width: $content-width + 2* $content-padding)\n  // Content should respect window limits.\n  .content\n    width: 100%\n    overflow-x: auto\n\n@media (max-width: $content-width)\n  .content\n    padding: 0 $content-padding--small\n    // Don't float sidebars to the right.\n  article div.sidebar\n    float: none\n    width: 100%\n    margin: 1rem 0\n","// Definitely inspired by mkdocs-material.\n.admonition\n  margin: 1rem auto\n  padding: 0 0.5rem 0.5rem 0.5rem\n\n  background: var(--color-admonition-background)\n\n  border-radius: 0.2rem\n  border-left: 0.2rem solid var(--color-admonition-title)\n  box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1)\n\n  font-size: var(--admonition-font-size)\n\n  overflow: hidden\n  page-break-inside: avoid\n\n  // First element should have no margin, since the title has it.\n  > :nth-child(2)\n    margin-top: 0\n\n  // Last item should have no margin, since we'll control that w/ padding\n  > :last-child\n    margin-bottom: 0\n\n\n  // Defaults for all admonitions\n  p.admonition-title\n    position: relative\n    margin: 0 -0.5rem 0.5rem\n    padding: 0.5rem 0.5rem 0.5rem 2rem\n\n    font-weight: 500\n    font-size: var(--admonition-title-font-size)\n    background-color: var(--color-admonition-title-background)\n\n    line-height: 1.3\n\n    // Our fancy icon\n    &::before\n      content: \"\"\n      position: absolute\n      left: 0.5rem\n      width: 1rem\n      height: 1rem\n      // color: var(--color-admonition-title)\n      background-color: var(--color-admonition-title)\n\n      mask-image: var(--icon-admonition-default)\n      mask-repeat: no-repeat\n\n  //\n  // Variants\n  //\n  @each $type, $value in $admonitions\n    &.#{$type}\n      border-left-color: var(--color-admonition-title--#{$type})\n      > .admonition-title\n        background-color: var(--color-admonition-title-background--#{$type})\n        &::before\n          background-color: var(--color-admonition-title--#{$type})\n          mask-image: var(--icon-#{nth($value, 2)})\n\n.admonition-todo > .admonition-title\n  text-transform: uppercase\n","// This file stylizes the API documentation (stuff generated by autodoc). It's\n// deeply nested due to how autodoc structures the HTML without enough classes\n// to select the relevant items.\n\n// API docs!\ndl.py, dl.cpp, dl.c, dl.js\n  // Tweak the spacing of all the things!\n  dd\n    margin-left: 2rem\n    > :first-child\n      margin-top: 0.125rem\n    > :last-child\n      margin-bottom: 1.25rem\n\n  // This is used for the arguments\n  .field-list\n    margin-bottom: 0.75rem\n\n    // \"Headings\" (like \"Parameters\" and \"Return\")\n    dt\n      text-transform: uppercase\n      font-size: var(--font-size--small)\n\n    dd:empty\n      margin-bottom: 0.5rem\n    dd > ul\n      margin-left: -1.2rem\n      > li\n        > p:nth-child(2)\n          margin-top: 0\n        // When the last-empty-paragraph follows a paragraph, it doesn't need\n        // to augument the existing spacing.\n        > p + p:last-child:empty\n          margin-top: 0\n          margin-bottom: 0\n\n  // Colorize the elements\n  > dt\n    color: var(--color-api-overall)\n    &:target\n      background-color: var(--color-api-highlight-on-target)\n\ndl.class,\ndl.function,\ndl.method,\ndl.enum,\ndl.enum-class,\ndl.enum-struct,\ndl.type,\ndl.exception\n  > dt\n    padding-left: 3em\n    text-indent: -3em\n    .property\n      color: var(--color-api-keyword)\n      padding-right: 0.25rem\n\n    // adjust the size of the [source] link on the right.\n    a.reference.internal\n      .viewcode-link\n        width: 3.5rem\n        font-size: var(--font-size--small)\n\n.sig-name\n  font-weight: bold\n  color: var(--color-api-name)\n.sig-prename\n  color: var(--color-api-pre-name)\n.sig-paren\n  color: var(--color-api-paren)\n.sig-param\n  font-style: normal\n\n.versionmodified\n  font-style: italic\ndiv.versionadded, div.versionchanged, div.deprecated\n  p\n    margin-top: 0.125rem\n    margin-bottom: 0.125rem\n\n// Align the [docs] and [source] to the right.\n.viewcode-link, .viewcode-back\n  float: right\n  text-align: right\n","// Captions\narticle p.caption,\ntable > caption,\n.code-block-caption\n  font-size: var(--font-size--small)\n  text-align: center\n\n// Caption above a TOCTree\n.toctree-wrapper.compound\n  .caption, :not(.caption) > .caption-text\n    font-size: var(--font-size--small)\n    text-transform: uppercase\n\n    text-align: initial\n    margin-bottom: 0\n\n  > ul\n    margin-top: 0\n    margin-bottom: 0\n","// Inline code\ncode.literal\n  background: var(--color-inline-code-background)\n  border-radius: 0.2em\n  // Make the font smaller, and use padding to recover.\n  font-size: var(--font-size--small--2)\n  padding: 0.1em 0.2em\n\n// Code and Literal Blocks\n$code-spacing-vertical: 0.625rem\n$code-spacing-horizontal: 0.875rem\n\narticle\n  // Wraps every literal block + line numbers.\n  div[class*=\" highlight-\"],\n  div[class^=\"highlight-\"]\n    margin: 1em 0\n    display: flex\n\npre\n  margin: 0\n  padding: 0\n\n  // Needed to have more specificity than pygments' \"pre\" selector. :(\n  article &\n    line-height: 1.5\n\n  &.literal-block,\n  .highlight &\n    font-size: var(--code-font-size)\n    padding: $code-spacing-vertical $code-spacing-horizontal\n    overflow: auto\n\n  // Make it look like all the other blocks.\n  &.literal-block\n    margin-top: 1rem\n    margin-bottom: 1rem\n\n    border-radius: 0.2rem\n    background-color: var(--color-code-background)\n    color: var(--color-code-foreground)\n\n// All code is always contained in a pre\n.highlight\n  width: 100%\n  border-radius: 0.2rem\n\n// Added when there's line numbers associated with a literal block.\n.highlighttable\n  width: 100%\n  display: block\n  tbody\n    display: block\n\n  tr\n    display: flex\n\n  // Line numbers\n  td.linenos\n    background-color: var(--color-code-background)\n    color: var(--color-code-foreground)\n    padding: $code-spacing-vertical $code-spacing-horizontal\n    padding-right: 0\n    border-top-left-radius: 0.2rem\n    border-bottom-left-radius: 0.2rem\n\n  .linenodiv\n    font-size: var(--code-font-size)\n\n    padding-right: 0.5rem\n    box-shadow: -0.0625rem 0 var(--color-code-foreground) inset\n    opacity: 0.5 // I hate myself.\n\n  // Actual code\n  td.code\n    padding: 0\n    display: block\n    flex: 1\n    overflow: hidden\n\n    .highlight\n      border-top-left-radius: 0\n      border-bottom-left-radius: 0\n","// Inline Footnote Reference\n.footnote-reference\n  font-size: var(--font-size--small--4)\n  vertical-align: super\n\n// Definition list, listing the content of each note.\ndl.footnote\n  font-size: var(--font-size--small)\n  color: var(--color-foreground-secondary)\n\n  display: grid\n  grid-template-columns: max-content auto\n  dt\n    margin: 0\n    > .fn-backref\n      margin-left: 0.25rem\n\n    &:after\n      content: \":\"\n\n    .brackets\n      &:before\n        content: \"[\"\n      &:after\n        content: \"]\"\n","//\n// Figures\n//\nimg\n  box-sizing: border-box\n  max-width: 100%\n  height: auto\n\narticle\n  figure, .figure\n    border-radius: 0.2rem\n\n    margin: 0\n    :last-child\n      margin-bottom: 0\n\n  .align-left\n    float: left\n    clear: left\n    margin: 0 1rem 1rem\n\n  .align-right\n    float: right\n    clear: right\n    margin: 0 1rem 1rem\n\n  .align-default,\n  .align-center\n    display: block\n    text-align: center\n    margin-left: auto\n    margin-right: auto\n",".genindex-jumpbox, .domainindex-jumpbox\n  border-top: 1px solid var(--color-background-border)\n  border-bottom: 1px solid var(--color-background-border)\n  padding: 0.25rem\n\n.genindex-section, .domainindex-section\n  h2\n    margin-top: 0.75rem\n    margin-bottom: 0.5rem\n  ul\n    margin-top: 0\n    margin-bottom: 0\n","ul,\nol\n  padding-left: 1.2rem\n\n  // Space lists out like paragraphs\n  margin-top: 1rem\n  margin-bottom: 1rem\n  // reduce margins within li.\n  li\n    > p:first-child\n      margin-top: 0.25rem\n      margin-bottom: 0.25rem\n\n    > p:last-child\n      margin-top: 0.25rem\n\n    > ul,\n    > ol\n      margin-top: 0.5rem\n      margin-bottom: 0.5rem\n\n// Don't space lists out when they're \"simple\" or in a `.. toctree::`\n.simple,\n.toctree-wrapper\n  li\n    > ul,\n    > ol\n      margin-top: 0\n      margin-bottom: 0\n\n// Definition Lists\n.field-list,\n.option-list,\ndl:not([class]),\ndl.simple,\ndl.footnote,\ndl.glossary\n  dt\n    font-weight: 500\n    margin-top: 0.25rem\n    + dt\n      margin-top: 0\n\n    .classifier::before\n      content: \":\"\n      margin-left: 0.2rem\n      margin-right: 0.2rem\n\n  dd\n    > p:first-child,\n    ul\n      margin-top: 0.125rem\n\n    ul\n      margin-bottom: 0.125rem\n",".math-wrapper\n  width: 100%\n  overflow-x: auto\n","// Abbreviations\nabbr[title]\n  cursor: help\n\n// Keyboard / Mouse \"instructions\"\nkbd:not(.compound)\n  margin: 0 0.2rem\n  padding: 0 0.2rem\n  border-radius: 0.2rem\n  border: 1px solid var(--color-foreground-border)\n  color: var(--color-foreground-primary)\n  vertical-align: text-bottom\n\n  font-size: var(--font-size--small--3)\n  display: inline-block\n\n  box-shadow: 0 0.0625rem 0 rgba(0, 0, 0, 0.2), inset 0 0 0 0.125rem var(--color-background-primary)\n\n  background-color: var(--color-background-secondary)\n\n// Blockquote\nblockquote\n  border-left: 1px solid var(--color-foreground-border)\n  font-style: italic\n  margin-left: 0.5rem\n  margin-right: 0.5rem\n  padding: 0.5rem 1rem\n\n// Center align embedded-in-text images\n.reference img\n  vertical-align: middle\n","// Adapted from Sphinx-RTD-theme's corresponding CSS\n// https://github.com/readthedocs/sphinx_rtd_theme/blob/1a32899b/src/sass/_theme_rst.sass#L201\nh1,\nh2,\nh3,\nh4,\nh5,\nh6,\ndl dt,\np.caption,\ntable > caption,\n.code-block-caption\n  > .headerlink\n    font-weight: 100\n    margin-left: 0.5rem\n    visibility: hidden\n    text-decoration: none\n\n  &:hover > .headerlink\n    visibility: visible\n\nh1,\nh2,\nh3,\nh4,\nh5,\nh6\n  :target > &:first-child > .headerlink\n    visibility: visible\n","p.rubric\n  text-transform: uppercase\n  font-size: var(--font-size--small)\n","article .sidebar\n  float: right\n  clear: right\n  width: 30%\n\n  margin-left: 1rem\n  margin-right: 0\n\n  border-radius: 0.2rem\n  background-color: var(--color-background-secondary)\n  border: var(--color-background-border) 1px solid\n\n  > *\n    padding-left: 1rem\n    padding-right: 1rem\n\n  > ul, > ol  // lists need additional padding, because bullets.\n    padding-left: 2.2rem\n\n  .sidebar-title\n    margin: 0\n    padding: 0.5rem 1rem\n    border-bottom: var(--color-background-border) 1px solid\n\n    font-weight: 500\n\n// TODO: subtitle\n// TODO: dedicated variables?\n",".table-wrapper\n  width: 100%\n  overflow-x: auto\n  margin-top: 1rem\n  margin-bottom: 0.5rem\n  padding: 0.2rem 0.2rem 0.75rem\n\ntable.docutils\n  border-radius: 0.2rem\n  border-spacing: 0\n  border-collapse: collapse\n\n  box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1)\n\n  th\n    background: var(--color-background-secondary)\n\n  td,\n  th\n    // Space things out properly\n    padding: 0 0.25rem\n    p\n      margin: 0.25rem\n\n    // Get the borders looking just-right.\n    border-left: 1px solid var(--color-background-border)\n    border-right: 1px solid var(--color-background-border)\n    border-bottom: 1px solid var(--color-background-border)\n\n    &:first-child\n      border-left: none\n    &:last-child\n      border-right: none\n",".guilabel\n  background-color: var(--color-guilabel-background)\n  border: 1px solid var(--color-guilabel-border)\n  color: var(--color-guilabel-text)\n\n  padding: 0 0.3em\n  border-radius: 0.5em\n  font-size: 0.9em\n","// This file contains the styles used for stylizing the footer that's shown\n// below the content.\n\nfooter\n  font-size: var(--font-size--small)\n  display: flex\n  flex-direction: column\n\n  margin-top: 2rem\n\n// Bottom of page information\n.related-information\n  margin-top: 1rem\n\n  padding: 0.75rem\n  padding-bottom: 1rem\n\n  border-top: 1px solid var(--color-background-border)\n\n  line-height: 1.5\n  color: var(--color-foreground-secondary)\n\n// Next/Prev page information\n.related-pages\n  a\n    display: flex\n    align-items: center\n\n    text-decoration: none\n    &:hover .page-info .title\n      text-decoration: underline\n      color: var(--color-link)\n      text-decoration-color: var(--color-link-underline)\n\n    svg,\n    svg > use\n      flex-shrink: 0\n\n      color: var(--color-foreground-border)\n\n      width: 0.75rem\n      height: 0.75rem\n      margin: 0 0.5rem\n\n    &.next-page\n      max-width: 50%\n\n      float: right\n      clear: right\n      text-align: right\n\n    &.prev-page\n      max-width: 50%\n\n      float: left\n      clear: left\n\n      svg\n        transform: rotate(180deg)\n\n.page-info\n  display: flex\n  flex-direction: column\n\n  .next-page &\n    align-items: flex-end\n\n  .context\n    display: flex\n    align-items: center\n\n    padding-bottom: 0.1rem\n\n    color: var(--color-foreground-muted)\n    font-size: var(--font-size--small)\n    text-decoration: none\n","//\n// Search Page Listing\n//\nul.search\n  padding-left: 0\n  list-style: none\n\n  li\n    padding: 1rem 0\n    border-bottom: 1px solid var(--color-background-border)\n\n//\n// Highlighted by links in search page\n//\n.highlighted\n  background-color: var(--color-highlighted-background)\n  color: var(--color-highlighted-text)\n","// This file contains the styles for the contents of the left sidebar, which\n// contains the navigation tree, logo, search etc.\n\n////////////////////////////////////////////////////////////////////////////////\n// Brand on top of the scrollable tree.\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-brand\n  display: flex\n  flex-direction: column\n  flex-shrink: 0\n\n  padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n  text-decoration: none\n\n.sidebar-brand-text\n  overflow-wrap: break-word\n  margin: var(--sidebar-item-spacing-vertical) 0\n  font-size: 1.5rem\n\n.sidebar-logo-container\n  margin: var(--sidebar-item-spacing-vertical) 0\n\n.sidebar-logo\n  margin: 0 auto\n  display: block\n  max-width: 100%\n\n////////////////////////////////////////////////////////////////////////////////\n// Search\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-search-container\n  display: flex\n  align-items: center\n  margin-top: var(--sidebar-search-space-above)\n\n  position: relative\n  &::before\n    content: \"\"\n    position: absolute\n    left: var(--sidebar-item-spacing-horizontal)\n    width: var(--sidebar-search-icon-size)\n    height: var(--sidebar-search-icon-size)\n\n.sidebar-search\n  box-sizing: border-box\n\n  padding-top: var(--sidebar-search-input-spacing-vertical)\n  padding-bottom: var(--sidebar-search-input-spacing-vertical)\n  padding-right: var(--sidebar-search-input-spacing-horizontal)\n  padding-left: calc(var(--sidebar-item-spacing-horizontal) + var(--sidebar-search-input-spacing-horizontal) + var(--sidebar-search-icon-size))\n\n  width: 100%\n\n  color: var(--color-sidebar-search-foreground)\n  background: transparent\n  z-index: 10\n\n  &:focus\n    outline: none\n\n  &::placeholder\n    font-size: var(--sidebar-search-input-font-size)\n\n////////////////////////////////////////////////////////////////////////////////\n// Structure/Skeleton of the navigation tree (left)\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-tree\n  font-size: var(--sidebar-item-font-size)\n  margin-top: var(--sidebar-tree-space-above)\n  margin-bottom: var(--sidebar-item-spacing-vertical)\n\n  ul\n    padding: 0\n    margin-top: 0\n    margin-bottom: 0\n\n    display: flex\n    flex-direction: column\n\n    list-style: none\n\n  li\n    position: relative\n    margin: 0\n\n    > ul\n      margin-left: var(--sidebar-item-spacing-horizontal)\n\n  .reference\n    box-sizing: border-box\n    // Fill the parent.\n    display: inline-block\n    line-height: var(--sidebar-item-line-height)\n\n    height: 100%\n    width: 100%\n\n    padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n\n    // Add a nice little \"external-link\" arrow here.\n    &.external::after\n      content: url('data:image/svg+xml,<svg width=\"12\" height=\"12\" xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\" stroke-width=\"1.5\" stroke=\"%23607D8B\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path stroke=\"none\" d=\"M0 0h24v24H0z\"/><path d=\"M11 7h-5a2 2 0 0 0 -2 2v9a2 2 0 0 0 2 2h9a2 2 0 0 0 2 -2v-5\" /><line x1=\"10\" y1=\"14\" x2=\"20\" y2=\"4\" /><polyline points=\"15 4 20 4 20 9\" /></svg>')\n      margin: 0 0.25rem\n      vertical-align: middle\n\n  // Make the current page reference bold.\n  .current-page > .reference\n    font-weight: bold\n\n  label\n    position: absolute\n    top: 0\n    right: 0\n    height: var(--sidebar-item-height)\n    width: var(--sidebar-expander-width)\n\n    cursor: pointer\n\n    display: flex\n    justify-content: center\n    align-items: center\n\n  .caption, :not(.caption) > .caption-text\n    font-size: var(--sidebar-caption-font-size)\n\n    font-weight: bold\n    text-transform: uppercase\n\n    margin: var(--sidebar-caption-space-above) 0 0 0\n\n    padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n\n  // If it has children, add a bit more padding to wrap the content to avoid\n  // overlapping with the <label>\n  li.has-children\n    > .reference\n      padding-right: var(--sidebar-expander-width)\n\n.toctree-checkbox\n  position: absolute\n  display: none\n\n////////////////////////////////////////////////////////////////////////////////\n// Togglable expand/collapse\n////////////////////////////////////////////////////////////////////////////////\n.toctree-checkbox\n  ~ ul\n    display: none\n\n  ~ label .icon svg\n    transform: rotate(90deg)\n\n.toctree-checkbox:checked\n  ~ ul\n    display: block\n\n  ~ label .icon svg\n    transform: rotate(-90deg)\n","// This file contains the styles for the contents of the right sidebar, which\n// contains the table of contents for the current page.\n.toc-title-container\n  padding: var(--toc-title-padding)\n  padding-top: var(--toc-spacing-vertical)\n\n.toc-title\n  font-size: var(--toc-title-font-size)\n  padding-left: var(--toc-spacing-horizontal)\n  text-transform: uppercase\n\n// If the ToC is not present, hide these elements coz they're not relevant.\n.no-toc\n  display: none\n\n.toc-tree-container\n  padding-bottom: var(--toc-spacing-vertical)\n\n.toc-tree\n  font-size: var(--toc-font-size)\n  line-height: 1.3\n\n  padding-left: calc(var(--toc-spacing-horizontal) - var(--toc-item-spacing-horizontal))\n\n  // Hide the first \"top level\" bullet.\n  > ul > li:first-child\n    padding-top: 0\n    & > ul\n      padding-left: 0\n    & > a\n      display: none\n\n  ul\n    list-style-type: none\n    margin-top: 0\n    margin-bottom: 0\n    padding-left: var(--toc-item-spacing-horizontal)\n  li\n    padding-top: var(--toc-item-spacing-vertical)\n\n    .reference\n      word-break: break-word\n      text-decoration: none\n\n    &.scroll-current >.reference\n      font-weight: bold\n\n.toc-scroll\n  max-height: 100vh\n  overflow-y: scroll\n\n// Be very annoying when someone includes the table of contents\n.contents:not(.this-will-duplicate-information-and-it-is-still-useful-here)\n  color: var(--color-problematic)\n  background: rgba(255, 0, 0, 0.25)\n  &::before\n    content: \"ERROR: Adding a table of contents in Furo-based documentation is unnecessary, and does not work well with existing styling. Add a 'this-will-duplicate-information-and-it-is-still-useful-here' class, if you want an escape hatch.\"\n"]}
\ No newline at end of file
diff --git a/docs/0.10.5/html/_static/underscore-1.13.1.js b/docs/0.10.5/html/_static/underscore-1.13.1.js
new file mode 100644
index 000000000..ffd77af96
--- /dev/null
+++ b/docs/0.10.5/html/_static/underscore-1.13.1.js
@@ -0,0 +1,2042 @@
+(function (global, factory) {
+  typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :
+  typeof define === 'function' && define.amd ? define('underscore', factory) :
+  (global = typeof globalThis !== 'undefined' ? globalThis : global || self, (function () {
+    var current = global._;
+    var exports = global._ = factory();
+    exports.noConflict = function () { global._ = current; return exports; };
+  }()));
+}(this, (function () {
+  //     Underscore.js 1.13.1
+  //     https://underscorejs.org
+  //     (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors
+  //     Underscore may be freely distributed under the MIT license.
+
+  // Current version.
+  var VERSION = '1.13.1';
+
+  // Establish the root object, `window` (`self`) in the browser, `global`
+  // on the server, or `this` in some virtual machines. We use `self`
+  // instead of `window` for `WebWorker` support.
+  var root = typeof self == 'object' && self.self === self && self ||
+            typeof global == 'object' && global.global === global && global ||
+            Function('return this')() ||
+            {};
+
+  // Save bytes in the minified (but not gzipped) version:
+  var ArrayProto = Array.prototype, ObjProto = Object.prototype;
+  var SymbolProto = typeof Symbol !== 'undefined' ? Symbol.prototype : null;
+
+  // Create quick reference variables for speed access to core prototypes.
+  var push = ArrayProto.push,
+      slice = ArrayProto.slice,
+      toString = ObjProto.toString,
+      hasOwnProperty = ObjProto.hasOwnProperty;
+
+  // Modern feature detection.
+  var supportsArrayBuffer = typeof ArrayBuffer !== 'undefined',
+      supportsDataView = typeof DataView !== 'undefined';
+
+  // All **ECMAScript 5+** native function implementations that we hope to use
+  // are declared here.
+  var nativeIsArray = Array.isArray,
+      nativeKeys = Object.keys,
+      nativeCreate = Object.create,
+      nativeIsView = supportsArrayBuffer && ArrayBuffer.isView;
+
+  // Create references to these builtin functions because we override them.
+  var _isNaN = isNaN,
+      _isFinite = isFinite;
+
+  // Keys in IE < 9 that won't be iterated by `for key in ...` and thus missed.
+  var hasEnumBug = !{toString: null}.propertyIsEnumerable('toString');
+  var nonEnumerableProps = ['valueOf', 'isPrototypeOf', 'toString',
+    'propertyIsEnumerable', 'hasOwnProperty', 'toLocaleString'];
+
+  // The largest integer that can be represented exactly.
+  var MAX_ARRAY_INDEX = Math.pow(2, 53) - 1;
+
+  // Some functions take a variable number of arguments, or a few expected
+  // arguments at the beginning and then a variable number of values to operate
+  // on. This helper accumulates all remaining arguments past the function’s
+  // argument length (or an explicit `startIndex`), into an array that becomes
+  // the last argument. Similar to ES6’s "rest parameter".
+  function restArguments(func, startIndex) {
+    startIndex = startIndex == null ? func.length - 1 : +startIndex;
+    return function() {
+      var length = Math.max(arguments.length - startIndex, 0),
+          rest = Array(length),
+          index = 0;
+      for (; index < length; index++) {
+        rest[index] = arguments[index + startIndex];
+      }
+      switch (startIndex) {
+        case 0: return func.call(this, rest);
+        case 1: return func.call(this, arguments[0], rest);
+        case 2: return func.call(this, arguments[0], arguments[1], rest);
+      }
+      var args = Array(startIndex + 1);
+      for (index = 0; index < startIndex; index++) {
+        args[index] = arguments[index];
+      }
+      args[startIndex] = rest;
+      return func.apply(this, args);
+    };
+  }
+
+  // Is a given variable an object?
+  function isObject(obj) {
+    var type = typeof obj;
+    return type === 'function' || type === 'object' && !!obj;
+  }
+
+  // Is a given value equal to null?
+  function isNull(obj) {
+    return obj === null;
+  }
+
+  // Is a given variable undefined?
+  function isUndefined(obj) {
+    return obj === void 0;
+  }
+
+  // Is a given value a boolean?
+  function isBoolean(obj) {
+    return obj === true || obj === false || toString.call(obj) === '[object Boolean]';
+  }
+
+  // Is a given value a DOM element?
+  function isElement(obj) {
+    return !!(obj && obj.nodeType === 1);
+  }
+
+  // Internal function for creating a `toString`-based type tester.
+  function tagTester(name) {
+    var tag = '[object ' + name + ']';
+    return function(obj) {
+      return toString.call(obj) === tag;
+    };
+  }
+
+  var isString = tagTester('String');
+
+  var isNumber = tagTester('Number');
+
+  var isDate = tagTester('Date');
+
+  var isRegExp = tagTester('RegExp');
+
+  var isError = tagTester('Error');
+
+  var isSymbol = tagTester('Symbol');
+
+  var isArrayBuffer = tagTester('ArrayBuffer');
+
+  var isFunction = tagTester('Function');
+
+  // Optimize `isFunction` if appropriate. Work around some `typeof` bugs in old
+  // v8, IE 11 (#1621), Safari 8 (#1929), and PhantomJS (#2236).
+  var nodelist = root.document && root.document.childNodes;
+  if (typeof /./ != 'function' && typeof Int8Array != 'object' && typeof nodelist != 'function') {
+    isFunction = function(obj) {
+      return typeof obj == 'function' || false;
+    };
+  }
+
+  var isFunction$1 = isFunction;
+
+  var hasObjectTag = tagTester('Object');
+
+  // In IE 10 - Edge 13, `DataView` has string tag `'[object Object]'`.
+  // In IE 11, the most common among them, this problem also applies to
+  // `Map`, `WeakMap` and `Set`.
+  var hasStringTagBug = (
+        supportsDataView && hasObjectTag(new DataView(new ArrayBuffer(8)))
+      ),
+      isIE11 = (typeof Map !== 'undefined' && hasObjectTag(new Map));
+
+  var isDataView = tagTester('DataView');
+
+  // In IE 10 - Edge 13, we need a different heuristic
+  // to determine whether an object is a `DataView`.
+  function ie10IsDataView(obj) {
+    return obj != null && isFunction$1(obj.getInt8) && isArrayBuffer(obj.buffer);
+  }
+
+  var isDataView$1 = (hasStringTagBug ? ie10IsDataView : isDataView);
+
+  // Is a given value an array?
+  // Delegates to ECMA5's native `Array.isArray`.
+  var isArray = nativeIsArray || tagTester('Array');
+
+  // Internal function to check whether `key` is an own property name of `obj`.
+  function has$1(obj, key) {
+    return obj != null && hasOwnProperty.call(obj, key);
+  }
+
+  var isArguments = tagTester('Arguments');
+
+  // Define a fallback version of the method in browsers (ahem, IE < 9), where
+  // there isn't any inspectable "Arguments" type.
+  (function() {
+    if (!isArguments(arguments)) {
+      isArguments = function(obj) {
+        return has$1(obj, 'callee');
+      };
+    }
+  }());
+
+  var isArguments$1 = isArguments;
+
+  // Is a given object a finite number?
+  function isFinite$1(obj) {
+    return !isSymbol(obj) && _isFinite(obj) && !isNaN(parseFloat(obj));
+  }
+
+  // Is the given value `NaN`?
+  function isNaN$1(obj) {
+    return isNumber(obj) && _isNaN(obj);
+  }
+
+  // Predicate-generating function. Often useful outside of Underscore.
+  function constant(value) {
+    return function() {
+      return value;
+    };
+  }
+
+  // Common internal logic for `isArrayLike` and `isBufferLike`.
+  function createSizePropertyCheck(getSizeProperty) {
+    return function(collection) {
+      var sizeProperty = getSizeProperty(collection);
+      return typeof sizeProperty == 'number' && sizeProperty >= 0 && sizeProperty <= MAX_ARRAY_INDEX;
+    }
+  }
+
+  // Internal helper to generate a function to obtain property `key` from `obj`.
+  function shallowProperty(key) {
+    return function(obj) {
+      return obj == null ? void 0 : obj[key];
+    };
+  }
+
+  // Internal helper to obtain the `byteLength` property of an object.
+  var getByteLength = shallowProperty('byteLength');
+
+  // Internal helper to determine whether we should spend extensive checks against
+  // `ArrayBuffer` et al.
+  var isBufferLike = createSizePropertyCheck(getByteLength);
+
+  // Is a given value a typed array?
+  var typedArrayPattern = /\[object ((I|Ui)nt(8|16|32)|Float(32|64)|Uint8Clamped|Big(I|Ui)nt64)Array\]/;
+  function isTypedArray(obj) {
+    // `ArrayBuffer.isView` is the most future-proof, so use it when available.
+    // Otherwise, fall back on the above regular expression.
+    return nativeIsView ? (nativeIsView(obj) && !isDataView$1(obj)) :
+                  isBufferLike(obj) && typedArrayPattern.test(toString.call(obj));
+  }
+
+  var isTypedArray$1 = supportsArrayBuffer ? isTypedArray : constant(false);
+
+  // Internal helper to obtain the `length` property of an object.
+  var getLength = shallowProperty('length');
+
+  // Internal helper to create a simple lookup structure.
+  // `collectNonEnumProps` used to depend on `_.contains`, but this led to
+  // circular imports. `emulatedSet` is a one-off solution that only works for
+  // arrays of strings.
+  function emulatedSet(keys) {
+    var hash = {};
+    for (var l = keys.length, i = 0; i < l; ++i) hash[keys[i]] = true;
+    return {
+      contains: function(key) { return hash[key]; },
+      push: function(key) {
+        hash[key] = true;
+        return keys.push(key);
+      }
+    };
+  }
+
+  // Internal helper. Checks `keys` for the presence of keys in IE < 9 that won't
+  // be iterated by `for key in ...` and thus missed. Extends `keys` in place if
+  // needed.
+  function collectNonEnumProps(obj, keys) {
+    keys = emulatedSet(keys);
+    var nonEnumIdx = nonEnumerableProps.length;
+    var constructor = obj.constructor;
+    var proto = isFunction$1(constructor) && constructor.prototype || ObjProto;
+
+    // Constructor is a special case.
+    var prop = 'constructor';
+    if (has$1(obj, prop) && !keys.contains(prop)) keys.push(prop);
+
+    while (nonEnumIdx--) {
+      prop = nonEnumerableProps[nonEnumIdx];
+      if (prop in obj && obj[prop] !== proto[prop] && !keys.contains(prop)) {
+        keys.push(prop);
+      }
+    }
+  }
+
+  // Retrieve the names of an object's own properties.
+  // Delegates to **ECMAScript 5**'s native `Object.keys`.
+  function keys(obj) {
+    if (!isObject(obj)) return [];
+    if (nativeKeys) return nativeKeys(obj);
+    var keys = [];
+    for (var key in obj) if (has$1(obj, key)) keys.push(key);
+    // Ahem, IE < 9.
+    if (hasEnumBug) collectNonEnumProps(obj, keys);
+    return keys;
+  }
+
+  // Is a given array, string, or object empty?
+  // An "empty" object has no enumerable own-properties.
+  function isEmpty(obj) {
+    if (obj == null) return true;
+    // Skip the more expensive `toString`-based type checks if `obj` has no
+    // `.length`.
+    var length = getLength(obj);
+    if (typeof length == 'number' && (
+      isArray(obj) || isString(obj) || isArguments$1(obj)
+    )) return length === 0;
+    return getLength(keys(obj)) === 0;
+  }
+
+  // Returns whether an object has a given set of `key:value` pairs.
+  function isMatch(object, attrs) {
+    var _keys = keys(attrs), length = _keys.length;
+    if (object == null) return !length;
+    var obj = Object(object);
+    for (var i = 0; i < length; i++) {
+      var key = _keys[i];
+      if (attrs[key] !== obj[key] || !(key in obj)) return false;
+    }
+    return true;
+  }
+
+  // If Underscore is called as a function, it returns a wrapped object that can
+  // be used OO-style. This wrapper holds altered versions of all functions added
+  // through `_.mixin`. Wrapped objects may be chained.
+  function _$1(obj) {
+    if (obj instanceof _$1) return obj;
+    if (!(this instanceof _$1)) return new _$1(obj);
+    this._wrapped = obj;
+  }
+
+  _$1.VERSION = VERSION;
+
+  // Extracts the result from a wrapped and chained object.
+  _$1.prototype.value = function() {
+    return this._wrapped;
+  };
+
+  // Provide unwrapping proxies for some methods used in engine operations
+  // such as arithmetic and JSON stringification.
+  _$1.prototype.valueOf = _$1.prototype.toJSON = _$1.prototype.value;
+
+  _$1.prototype.toString = function() {
+    return String(this._wrapped);
+  };
+
+  // Internal function to wrap or shallow-copy an ArrayBuffer,
+  // typed array or DataView to a new view, reusing the buffer.
+  function toBufferView(bufferSource) {
+    return new Uint8Array(
+      bufferSource.buffer || bufferSource,
+      bufferSource.byteOffset || 0,
+      getByteLength(bufferSource)
+    );
+  }
+
+  // We use this string twice, so give it a name for minification.
+  var tagDataView = '[object DataView]';
+
+  // Internal recursive comparison function for `_.isEqual`.
+  function eq(a, b, aStack, bStack) {
+    // Identical objects are equal. `0 === -0`, but they aren't identical.
+    // See the [Harmony `egal` proposal](https://wiki.ecmascript.org/doku.php?id=harmony:egal).
+    if (a === b) return a !== 0 || 1 / a === 1 / b;
+    // `null` or `undefined` only equal to itself (strict comparison).
+    if (a == null || b == null) return false;
+    // `NaN`s are equivalent, but non-reflexive.
+    if (a !== a) return b !== b;
+    // Exhaust primitive checks
+    var type = typeof a;
+    if (type !== 'function' && type !== 'object' && typeof b != 'object') return false;
+    return deepEq(a, b, aStack, bStack);
+  }
+
+  // Internal recursive comparison function for `_.isEqual`.
+  function deepEq(a, b, aStack, bStack) {
+    // Unwrap any wrapped objects.
+    if (a instanceof _$1) a = a._wrapped;
+    if (b instanceof _$1) b = b._wrapped;
+    // Compare `[[Class]]` names.
+    var className = toString.call(a);
+    if (className !== toString.call(b)) return false;
+    // Work around a bug in IE 10 - Edge 13.
+    if (hasStringTagBug && className == '[object Object]' && isDataView$1(a)) {
+      if (!isDataView$1(b)) return false;
+      className = tagDataView;
+    }
+    switch (className) {
+      // These types are compared by value.
+      case '[object RegExp]':
+        // RegExps are coerced to strings for comparison (Note: '' + /a/i === '/a/i')
+      case '[object String]':
+        // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is
+        // equivalent to `new String("5")`.
+        return '' + a === '' + b;
+      case '[object Number]':
+        // `NaN`s are equivalent, but non-reflexive.
+        // Object(NaN) is equivalent to NaN.
+        if (+a !== +a) return +b !== +b;
+        // An `egal` comparison is performed for other numeric values.
+        return +a === 0 ? 1 / +a === 1 / b : +a === +b;
+      case '[object Date]':
+      case '[object Boolean]':
+        // Coerce dates and booleans to numeric primitive values. Dates are compared by their
+        // millisecond representations. Note that invalid dates with millisecond representations
+        // of `NaN` are not equivalent.
+        return +a === +b;
+      case '[object Symbol]':
+        return SymbolProto.valueOf.call(a) === SymbolProto.valueOf.call(b);
+      case '[object ArrayBuffer]':
+      case tagDataView:
+        // Coerce to typed array so we can fall through.
+        return deepEq(toBufferView(a), toBufferView(b), aStack, bStack);
+    }
+
+    var areArrays = className === '[object Array]';
+    if (!areArrays && isTypedArray$1(a)) {
+        var byteLength = getByteLength(a);
+        if (byteLength !== getByteLength(b)) return false;
+        if (a.buffer === b.buffer && a.byteOffset === b.byteOffset) return true;
+        areArrays = true;
+    }
+    if (!areArrays) {
+      if (typeof a != 'object' || typeof b != 'object') return false;
+
+      // Objects with different constructors are not equivalent, but `Object`s or `Array`s
+      // from different frames are.
+      var aCtor = a.constructor, bCtor = b.constructor;
+      if (aCtor !== bCtor && !(isFunction$1(aCtor) && aCtor instanceof aCtor &&
+                               isFunction$1(bCtor) && bCtor instanceof bCtor)
+                          && ('constructor' in a && 'constructor' in b)) {
+        return false;
+      }
+    }
+    // Assume equality for cyclic structures. The algorithm for detecting cyclic
+    // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`.
+
+    // Initializing stack of traversed objects.
+    // It's done here since we only need them for objects and arrays comparison.
+    aStack = aStack || [];
+    bStack = bStack || [];
+    var length = aStack.length;
+    while (length--) {
+      // Linear search. Performance is inversely proportional to the number of
+      // unique nested structures.
+      if (aStack[length] === a) return bStack[length] === b;
+    }
+
+    // Add the first object to the stack of traversed objects.
+    aStack.push(a);
+    bStack.push(b);
+
+    // Recursively compare objects and arrays.
+    if (areArrays) {
+      // Compare array lengths to determine if a deep comparison is necessary.
+      length = a.length;
+      if (length !== b.length) return false;
+      // Deep compare the contents, ignoring non-numeric properties.
+      while (length--) {
+        if (!eq(a[length], b[length], aStack, bStack)) return false;
+      }
+    } else {
+      // Deep compare objects.
+      var _keys = keys(a), key;
+      length = _keys.length;
+      // Ensure that both objects contain the same number of properties before comparing deep equality.
+      if (keys(b).length !== length) return false;
+      while (length--) {
+        // Deep compare each member
+        key = _keys[length];
+        if (!(has$1(b, key) && eq(a[key], b[key], aStack, bStack))) return false;
+      }
+    }
+    // Remove the first object from the stack of traversed objects.
+    aStack.pop();
+    bStack.pop();
+    return true;
+  }
+
+  // Perform a deep comparison to check if two objects are equal.
+  function isEqual(a, b) {
+    return eq(a, b);
+  }
+
+  // Retrieve all the enumerable property names of an object.
+  function allKeys(obj) {
+    if (!isObject(obj)) return [];
+    var keys = [];
+    for (var key in obj) keys.push(key);
+    // Ahem, IE < 9.
+    if (hasEnumBug) collectNonEnumProps(obj, keys);
+    return keys;
+  }
+
+  // Since the regular `Object.prototype.toString` type tests don't work for
+  // some types in IE 11, we use a fingerprinting heuristic instead, based
+  // on the methods. It's not great, but it's the best we got.
+  // The fingerprint method lists are defined below.
+  function ie11fingerprint(methods) {
+    var length = getLength(methods);
+    return function(obj) {
+      if (obj == null) return false;
+      // `Map`, `WeakMap` and `Set` have no enumerable keys.
+      var keys = allKeys(obj);
+      if (getLength(keys)) return false;
+      for (var i = 0; i < length; i++) {
+        if (!isFunction$1(obj[methods[i]])) return false;
+      }
+      // If we are testing against `WeakMap`, we need to ensure that
+      // `obj` doesn't have a `forEach` method in order to distinguish
+      // it from a regular `Map`.
+      return methods !== weakMapMethods || !isFunction$1(obj[forEachName]);
+    };
+  }
+
+  // In the interest of compact minification, we write
+  // each string in the fingerprints only once.
+  var forEachName = 'forEach',
+      hasName = 'has',
+      commonInit = ['clear', 'delete'],
+      mapTail = ['get', hasName, 'set'];
+
+  // `Map`, `WeakMap` and `Set` each have slightly different
+  // combinations of the above sublists.
+  var mapMethods = commonInit.concat(forEachName, mapTail),
+      weakMapMethods = commonInit.concat(mapTail),
+      setMethods = ['add'].concat(commonInit, forEachName, hasName);
+
+  var isMap = isIE11 ? ie11fingerprint(mapMethods) : tagTester('Map');
+
+  var isWeakMap = isIE11 ? ie11fingerprint(weakMapMethods) : tagTester('WeakMap');
+
+  var isSet = isIE11 ? ie11fingerprint(setMethods) : tagTester('Set');
+
+  var isWeakSet = tagTester('WeakSet');
+
+  // Retrieve the values of an object's properties.
+  function values(obj) {
+    var _keys = keys(obj);
+    var length = _keys.length;
+    var values = Array(length);
+    for (var i = 0; i < length; i++) {
+      values[i] = obj[_keys[i]];
+    }
+    return values;
+  }
+
+  // Convert an object into a list of `[key, value]` pairs.
+  // The opposite of `_.object` with one argument.
+  function pairs(obj) {
+    var _keys = keys(obj);
+    var length = _keys.length;
+    var pairs = Array(length);
+    for (var i = 0; i < length; i++) {
+      pairs[i] = [_keys[i], obj[_keys[i]]];
+    }
+    return pairs;
+  }
+
+  // Invert the keys and values of an object. The values must be serializable.
+  function invert(obj) {
+    var result = {};
+    var _keys = keys(obj);
+    for (var i = 0, length = _keys.length; i < length; i++) {
+      result[obj[_keys[i]]] = _keys[i];
+    }
+    return result;
+  }
+
+  // Return a sorted list of the function names available on the object.
+  function functions(obj) {
+    var names = [];
+    for (var key in obj) {
+      if (isFunction$1(obj[key])) names.push(key);
+    }
+    return names.sort();
+  }
+
+  // An internal function for creating assigner functions.
+  function createAssigner(keysFunc, defaults) {
+    return function(obj) {
+      var length = arguments.length;
+      if (defaults) obj = Object(obj);
+      if (length < 2 || obj == null) return obj;
+      for (var index = 1; index < length; index++) {
+        var source = arguments[index],
+            keys = keysFunc(source),
+            l = keys.length;
+        for (var i = 0; i < l; i++) {
+          var key = keys[i];
+          if (!defaults || obj[key] === void 0) obj[key] = source[key];
+        }
+      }
+      return obj;
+    };
+  }
+
+  // Extend a given object with all the properties in passed-in object(s).
+  var extend = createAssigner(allKeys);
+
+  // Assigns a given object with all the own properties in the passed-in
+  // object(s).
+  // (https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object/assign)
+  var extendOwn = createAssigner(keys);
+
+  // Fill in a given object with default properties.
+  var defaults = createAssigner(allKeys, true);
+
+  // Create a naked function reference for surrogate-prototype-swapping.
+  function ctor() {
+    return function(){};
+  }
+
+  // An internal function for creating a new object that inherits from another.
+  function baseCreate(prototype) {
+    if (!isObject(prototype)) return {};
+    if (nativeCreate) return nativeCreate(prototype);
+    var Ctor = ctor();
+    Ctor.prototype = prototype;
+    var result = new Ctor;
+    Ctor.prototype = null;
+    return result;
+  }
+
+  // Creates an object that inherits from the given prototype object.
+  // If additional properties are provided then they will be added to the
+  // created object.
+  function create(prototype, props) {
+    var result = baseCreate(prototype);
+    if (props) extendOwn(result, props);
+    return result;
+  }
+
+  // Create a (shallow-cloned) duplicate of an object.
+  function clone(obj) {
+    if (!isObject(obj)) return obj;
+    return isArray(obj) ? obj.slice() : extend({}, obj);
+  }
+
+  // Invokes `interceptor` with the `obj` and then returns `obj`.
+  // The primary purpose of this method is to "tap into" a method chain, in
+  // order to perform operations on intermediate results within the chain.
+  function tap(obj, interceptor) {
+    interceptor(obj);
+    return obj;
+  }
+
+  // Normalize a (deep) property `path` to array.
+  // Like `_.iteratee`, this function can be customized.
+  function toPath$1(path) {
+    return isArray(path) ? path : [path];
+  }
+  _$1.toPath = toPath$1;
+
+  // Internal wrapper for `_.toPath` to enable minification.
+  // Similar to `cb` for `_.iteratee`.
+  function toPath(path) {
+    return _$1.toPath(path);
+  }
+
+  // Internal function to obtain a nested property in `obj` along `path`.
+  function deepGet(obj, path) {
+    var length = path.length;
+    for (var i = 0; i < length; i++) {
+      if (obj == null) return void 0;
+      obj = obj[path[i]];
+    }
+    return length ? obj : void 0;
+  }
+
+  // Get the value of the (deep) property on `path` from `object`.
+  // If any property in `path` does not exist or if the value is
+  // `undefined`, return `defaultValue` instead.
+  // The `path` is normalized through `_.toPath`.
+  function get(object, path, defaultValue) {
+    var value = deepGet(object, toPath(path));
+    return isUndefined(value) ? defaultValue : value;
+  }
+
+  // Shortcut function for checking if an object has a given property directly on
+  // itself (in other words, not on a prototype). Unlike the internal `has`
+  // function, this public version can also traverse nested properties.
+  function has(obj, path) {
+    path = toPath(path);
+    var length = path.length;
+    for (var i = 0; i < length; i++) {
+      var key = path[i];
+      if (!has$1(obj, key)) return false;
+      obj = obj[key];
+    }
+    return !!length;
+  }
+
+  // Keep the identity function around for default iteratees.
+  function identity(value) {
+    return value;
+  }
+
+  // Returns a predicate for checking whether an object has a given set of
+  // `key:value` pairs.
+  function matcher(attrs) {
+    attrs = extendOwn({}, attrs);
+    return function(obj) {
+      return isMatch(obj, attrs);
+    };
+  }
+
+  // Creates a function that, when passed an object, will traverse that object’s
+  // properties down the given `path`, specified as an array of keys or indices.
+  function property(path) {
+    path = toPath(path);
+    return function(obj) {
+      return deepGet(obj, path);
+    };
+  }
+
+  // Internal function that returns an efficient (for current engines) version
+  // of the passed-in callback, to be repeatedly applied in other Underscore
+  // functions.
+  function optimizeCb(func, context, argCount) {
+    if (context === void 0) return func;
+    switch (argCount == null ? 3 : argCount) {
+      case 1: return function(value) {
+        return func.call(context, value);
+      };
+      // The 2-argument case is omitted because we’re not using it.
+      case 3: return function(value, index, collection) {
+        return func.call(context, value, index, collection);
+      };
+      case 4: return function(accumulator, value, index, collection) {
+        return func.call(context, accumulator, value, index, collection);
+      };
+    }
+    return function() {
+      return func.apply(context, arguments);
+    };
+  }
+
+  // An internal function to generate callbacks that can be applied to each
+  // element in a collection, returning the desired result — either `_.identity`,
+  // an arbitrary callback, a property matcher, or a property accessor.
+  function baseIteratee(value, context, argCount) {
+    if (value == null) return identity;
+    if (isFunction$1(value)) return optimizeCb(value, context, argCount);
+    if (isObject(value) && !isArray(value)) return matcher(value);
+    return property(value);
+  }
+
+  // External wrapper for our callback generator. Users may customize
+  // `_.iteratee` if they want additional predicate/iteratee shorthand styles.
+  // This abstraction hides the internal-only `argCount` argument.
+  function iteratee(value, context) {
+    return baseIteratee(value, context, Infinity);
+  }
+  _$1.iteratee = iteratee;
+
+  // The function we call internally to generate a callback. It invokes
+  // `_.iteratee` if overridden, otherwise `baseIteratee`.
+  function cb(value, context, argCount) {
+    if (_$1.iteratee !== iteratee) return _$1.iteratee(value, context);
+    return baseIteratee(value, context, argCount);
+  }
+
+  // Returns the results of applying the `iteratee` to each element of `obj`.
+  // In contrast to `_.map` it returns an object.
+  function mapObject(obj, iteratee, context) {
+    iteratee = cb(iteratee, context);
+    var _keys = keys(obj),
+        length = _keys.length,
+        results = {};
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys[index];
+      results[currentKey] = iteratee(obj[currentKey], currentKey, obj);
+    }
+    return results;
+  }
+
+  // Predicate-generating function. Often useful outside of Underscore.
+  function noop(){}
+
+  // Generates a function for a given object that returns a given property.
+  function propertyOf(obj) {
+    if (obj == null) return noop;
+    return function(path) {
+      return get(obj, path);
+    };
+  }
+
+  // Run a function **n** times.
+  function times(n, iteratee, context) {
+    var accum = Array(Math.max(0, n));
+    iteratee = optimizeCb(iteratee, context, 1);
+    for (var i = 0; i < n; i++) accum[i] = iteratee(i);
+    return accum;
+  }
+
+  // Return a random integer between `min` and `max` (inclusive).
+  function random(min, max) {
+    if (max == null) {
+      max = min;
+      min = 0;
+    }
+    return min + Math.floor(Math.random() * (max - min + 1));
+  }
+
+  // A (possibly faster) way to get the current timestamp as an integer.
+  var now = Date.now || function() {
+    return new Date().getTime();
+  };
+
+  // Internal helper to generate functions for escaping and unescaping strings
+  // to/from HTML interpolation.
+  function createEscaper(map) {
+    var escaper = function(match) {
+      return map[match];
+    };
+    // Regexes for identifying a key that needs to be escaped.
+    var source = '(?:' + keys(map).join('|') + ')';
+    var testRegexp = RegExp(source);
+    var replaceRegexp = RegExp(source, 'g');
+    return function(string) {
+      string = string == null ? '' : '' + string;
+      return testRegexp.test(string) ? string.replace(replaceRegexp, escaper) : string;
+    };
+  }
+
+  // Internal list of HTML entities for escaping.
+  var escapeMap = {
+    '&': '&amp;',
+    '<': '&lt;',
+    '>': '&gt;',
+    '"': '&quot;',
+    "'": '&#x27;',
+    '`': '&#x60;'
+  };
+
+  // Function for escaping strings to HTML interpolation.
+  var _escape = createEscaper(escapeMap);
+
+  // Internal list of HTML entities for unescaping.
+  var unescapeMap = invert(escapeMap);
+
+  // Function for unescaping strings from HTML interpolation.
+  var _unescape = createEscaper(unescapeMap);
+
+  // By default, Underscore uses ERB-style template delimiters. Change the
+  // following template settings to use alternative delimiters.
+  var templateSettings = _$1.templateSettings = {
+    evaluate: /<%([\s\S]+?)%>/g,
+    interpolate: /<%=([\s\S]+?)%>/g,
+    escape: /<%-([\s\S]+?)%>/g
+  };
+
+  // When customizing `_.templateSettings`, if you don't want to define an
+  // interpolation, evaluation or escaping regex, we need one that is
+  // guaranteed not to match.
+  var noMatch = /(.)^/;
+
+  // Certain characters need to be escaped so that they can be put into a
+  // string literal.
+  var escapes = {
+    "'": "'",
+    '\\': '\\',
+    '\r': 'r',
+    '\n': 'n',
+    '\u2028': 'u2028',
+    '\u2029': 'u2029'
+  };
+
+  var escapeRegExp = /\\|'|\r|\n|\u2028|\u2029/g;
+
+  function escapeChar(match) {
+    return '\\' + escapes[match];
+  }
+
+  // In order to prevent third-party code injection through
+  // `_.templateSettings.variable`, we test it against the following regular
+  // expression. It is intentionally a bit more liberal than just matching valid
+  // identifiers, but still prevents possible loopholes through defaults or
+  // destructuring assignment.
+  var bareIdentifier = /^\s*(\w|\$)+\s*$/;
+
+  // JavaScript micro-templating, similar to John Resig's implementation.
+  // Underscore templating handles arbitrary delimiters, preserves whitespace,
+  // and correctly escapes quotes within interpolated code.
+  // NB: `oldSettings` only exists for backwards compatibility.
+  function template(text, settings, oldSettings) {
+    if (!settings && oldSettings) settings = oldSettings;
+    settings = defaults({}, settings, _$1.templateSettings);
+
+    // Combine delimiters into one regular expression via alternation.
+    var matcher = RegExp([
+      (settings.escape || noMatch).source,
+      (settings.interpolate || noMatch).source,
+      (settings.evaluate || noMatch).source
+    ].join('|') + '|$', 'g');
+
+    // Compile the template source, escaping string literals appropriately.
+    var index = 0;
+    var source = "__p+='";
+    text.replace(matcher, function(match, escape, interpolate, evaluate, offset) {
+      source += text.slice(index, offset).replace(escapeRegExp, escapeChar);
+      index = offset + match.length;
+
+      if (escape) {
+        source += "'+\n((__t=(" + escape + "))==null?'':_.escape(__t))+\n'";
+      } else if (interpolate) {
+        source += "'+\n((__t=(" + interpolate + "))==null?'':__t)+\n'";
+      } else if (evaluate) {
+        source += "';\n" + evaluate + "\n__p+='";
+      }
+
+      // Adobe VMs need the match returned to produce the correct offset.
+      return match;
+    });
+    source += "';\n";
+
+    var argument = settings.variable;
+    if (argument) {
+      // Insure against third-party code injection. (CVE-2021-23358)
+      if (!bareIdentifier.test(argument)) throw new Error(
+        'variable is not a bare identifier: ' + argument
+      );
+    } else {
+      // If a variable is not specified, place data values in local scope.
+      source = 'with(obj||{}){\n' + source + '}\n';
+      argument = 'obj';
+    }
+
+    source = "var __t,__p='',__j=Array.prototype.join," +
+      "print=function(){__p+=__j.call(arguments,'');};\n" +
+      source + 'return __p;\n';
+
+    var render;
+    try {
+      render = new Function(argument, '_', source);
+    } catch (e) {
+      e.source = source;
+      throw e;
+    }
+
+    var template = function(data) {
+      return render.call(this, data, _$1);
+    };
+
+    // Provide the compiled source as a convenience for precompilation.
+    template.source = 'function(' + argument + '){\n' + source + '}';
+
+    return template;
+  }
+
+  // Traverses the children of `obj` along `path`. If a child is a function, it
+  // is invoked with its parent as context. Returns the value of the final
+  // child, or `fallback` if any child is undefined.
+  function result(obj, path, fallback) {
+    path = toPath(path);
+    var length = path.length;
+    if (!length) {
+      return isFunction$1(fallback) ? fallback.call(obj) : fallback;
+    }
+    for (var i = 0; i < length; i++) {
+      var prop = obj == null ? void 0 : obj[path[i]];
+      if (prop === void 0) {
+        prop = fallback;
+        i = length; // Ensure we don't continue iterating.
+      }
+      obj = isFunction$1(prop) ? prop.call(obj) : prop;
+    }
+    return obj;
+  }
+
+  // Generate a unique integer id (unique within the entire client session).
+  // Useful for temporary DOM ids.
+  var idCounter = 0;
+  function uniqueId(prefix) {
+    var id = ++idCounter + '';
+    return prefix ? prefix + id : id;
+  }
+
+  // Start chaining a wrapped Underscore object.
+  function chain(obj) {
+    var instance = _$1(obj);
+    instance._chain = true;
+    return instance;
+  }
+
+  // Internal function to execute `sourceFunc` bound to `context` with optional
+  // `args`. Determines whether to execute a function as a constructor or as a
+  // normal function.
+  function executeBound(sourceFunc, boundFunc, context, callingContext, args) {
+    if (!(callingContext instanceof boundFunc)) return sourceFunc.apply(context, args);
+    var self = baseCreate(sourceFunc.prototype);
+    var result = sourceFunc.apply(self, args);
+    if (isObject(result)) return result;
+    return self;
+  }
+
+  // Partially apply a function by creating a version that has had some of its
+  // arguments pre-filled, without changing its dynamic `this` context. `_` acts
+  // as a placeholder by default, allowing any combination of arguments to be
+  // pre-filled. Set `_.partial.placeholder` for a custom placeholder argument.
+  var partial = restArguments(function(func, boundArgs) {
+    var placeholder = partial.placeholder;
+    var bound = function() {
+      var position = 0, length = boundArgs.length;
+      var args = Array(length);
+      for (var i = 0; i < length; i++) {
+        args[i] = boundArgs[i] === placeholder ? arguments[position++] : boundArgs[i];
+      }
+      while (position < arguments.length) args.push(arguments[position++]);
+      return executeBound(func, bound, this, this, args);
+    };
+    return bound;
+  });
+
+  partial.placeholder = _$1;
+
+  // Create a function bound to a given object (assigning `this`, and arguments,
+  // optionally).
+  var bind = restArguments(function(func, context, args) {
+    if (!isFunction$1(func)) throw new TypeError('Bind must be called on a function');
+    var bound = restArguments(function(callArgs) {
+      return executeBound(func, bound, context, this, args.concat(callArgs));
+    });
+    return bound;
+  });
+
+  // Internal helper for collection methods to determine whether a collection
+  // should be iterated as an array or as an object.
+  // Related: https://people.mozilla.org/~jorendorff/es6-draft.html#sec-tolength
+  // Avoids a very nasty iOS 8 JIT bug on ARM-64. #2094
+  var isArrayLike = createSizePropertyCheck(getLength);
+
+  // Internal implementation of a recursive `flatten` function.
+  function flatten$1(input, depth, strict, output) {
+    output = output || [];
+    if (!depth && depth !== 0) {
+      depth = Infinity;
+    } else if (depth <= 0) {
+      return output.concat(input);
+    }
+    var idx = output.length;
+    for (var i = 0, length = getLength(input); i < length; i++) {
+      var value = input[i];
+      if (isArrayLike(value) && (isArray(value) || isArguments$1(value))) {
+        // Flatten current level of array or arguments object.
+        if (depth > 1) {
+          flatten$1(value, depth - 1, strict, output);
+          idx = output.length;
+        } else {
+          var j = 0, len = value.length;
+          while (j < len) output[idx++] = value[j++];
+        }
+      } else if (!strict) {
+        output[idx++] = value;
+      }
+    }
+    return output;
+  }
+
+  // Bind a number of an object's methods to that object. Remaining arguments
+  // are the method names to be bound. Useful for ensuring that all callbacks
+  // defined on an object belong to it.
+  var bindAll = restArguments(function(obj, keys) {
+    keys = flatten$1(keys, false, false);
+    var index = keys.length;
+    if (index < 1) throw new Error('bindAll must be passed function names');
+    while (index--) {
+      var key = keys[index];
+      obj[key] = bind(obj[key], obj);
+    }
+    return obj;
+  });
+
+  // Memoize an expensive function by storing its results.
+  function memoize(func, hasher) {
+    var memoize = function(key) {
+      var cache = memoize.cache;
+      var address = '' + (hasher ? hasher.apply(this, arguments) : key);
+      if (!has$1(cache, address)) cache[address] = func.apply(this, arguments);
+      return cache[address];
+    };
+    memoize.cache = {};
+    return memoize;
+  }
+
+  // Delays a function for the given number of milliseconds, and then calls
+  // it with the arguments supplied.
+  var delay = restArguments(function(func, wait, args) {
+    return setTimeout(function() {
+      return func.apply(null, args);
+    }, wait);
+  });
+
+  // Defers a function, scheduling it to run after the current call stack has
+  // cleared.
+  var defer = partial(delay, _$1, 1);
+
+  // Returns a function, that, when invoked, will only be triggered at most once
+  // during a given window of time. Normally, the throttled function will run
+  // as much as it can, without ever going more than once per `wait` duration;
+  // but if you'd like to disable the execution on the leading edge, pass
+  // `{leading: false}`. To disable execution on the trailing edge, ditto.
+  function throttle(func, wait, options) {
+    var timeout, context, args, result;
+    var previous = 0;
+    if (!options) options = {};
+
+    var later = function() {
+      previous = options.leading === false ? 0 : now();
+      timeout = null;
+      result = func.apply(context, args);
+      if (!timeout) context = args = null;
+    };
+
+    var throttled = function() {
+      var _now = now();
+      if (!previous && options.leading === false) previous = _now;
+      var remaining = wait - (_now - previous);
+      context = this;
+      args = arguments;
+      if (remaining <= 0 || remaining > wait) {
+        if (timeout) {
+          clearTimeout(timeout);
+          timeout = null;
+        }
+        previous = _now;
+        result = func.apply(context, args);
+        if (!timeout) context = args = null;
+      } else if (!timeout && options.trailing !== false) {
+        timeout = setTimeout(later, remaining);
+      }
+      return result;
+    };
+
+    throttled.cancel = function() {
+      clearTimeout(timeout);
+      previous = 0;
+      timeout = context = args = null;
+    };
+
+    return throttled;
+  }
+
+  // When a sequence of calls of the returned function ends, the argument
+  // function is triggered. The end of a sequence is defined by the `wait`
+  // parameter. If `immediate` is passed, the argument function will be
+  // triggered at the beginning of the sequence instead of at the end.
+  function debounce(func, wait, immediate) {
+    var timeout, previous, args, result, context;
+
+    var later = function() {
+      var passed = now() - previous;
+      if (wait > passed) {
+        timeout = setTimeout(later, wait - passed);
+      } else {
+        timeout = null;
+        if (!immediate) result = func.apply(context, args);
+        // This check is needed because `func` can recursively invoke `debounced`.
+        if (!timeout) args = context = null;
+      }
+    };
+
+    var debounced = restArguments(function(_args) {
+      context = this;
+      args = _args;
+      previous = now();
+      if (!timeout) {
+        timeout = setTimeout(later, wait);
+        if (immediate) result = func.apply(context, args);
+      }
+      return result;
+    });
+
+    debounced.cancel = function() {
+      clearTimeout(timeout);
+      timeout = args = context = null;
+    };
+
+    return debounced;
+  }
+
+  // Returns the first function passed as an argument to the second,
+  // allowing you to adjust arguments, run code before and after, and
+  // conditionally execute the original function.
+  function wrap(func, wrapper) {
+    return partial(wrapper, func);
+  }
+
+  // Returns a negated version of the passed-in predicate.
+  function negate(predicate) {
+    return function() {
+      return !predicate.apply(this, arguments);
+    };
+  }
+
+  // Returns a function that is the composition of a list of functions, each
+  // consuming the return value of the function that follows.
+  function compose() {
+    var args = arguments;
+    var start = args.length - 1;
+    return function() {
+      var i = start;
+      var result = args[start].apply(this, arguments);
+      while (i--) result = args[i].call(this, result);
+      return result;
+    };
+  }
+
+  // Returns a function that will only be executed on and after the Nth call.
+  function after(times, func) {
+    return function() {
+      if (--times < 1) {
+        return func.apply(this, arguments);
+      }
+    };
+  }
+
+  // Returns a function that will only be executed up to (but not including) the
+  // Nth call.
+  function before(times, func) {
+    var memo;
+    return function() {
+      if (--times > 0) {
+        memo = func.apply(this, arguments);
+      }
+      if (times <= 1) func = null;
+      return memo;
+    };
+  }
+
+  // Returns a function that will be executed at most one time, no matter how
+  // often you call it. Useful for lazy initialization.
+  var once = partial(before, 2);
+
+  // Returns the first key on an object that passes a truth test.
+  function findKey(obj, predicate, context) {
+    predicate = cb(predicate, context);
+    var _keys = keys(obj), key;
+    for (var i = 0, length = _keys.length; i < length; i++) {
+      key = _keys[i];
+      if (predicate(obj[key], key, obj)) return key;
+    }
+  }
+
+  // Internal function to generate `_.findIndex` and `_.findLastIndex`.
+  function createPredicateIndexFinder(dir) {
+    return function(array, predicate, context) {
+      predicate = cb(predicate, context);
+      var length = getLength(array);
+      var index = dir > 0 ? 0 : length - 1;
+      for (; index >= 0 && index < length; index += dir) {
+        if (predicate(array[index], index, array)) return index;
+      }
+      return -1;
+    };
+  }
+
+  // Returns the first index on an array-like that passes a truth test.
+  var findIndex = createPredicateIndexFinder(1);
+
+  // Returns the last index on an array-like that passes a truth test.
+  var findLastIndex = createPredicateIndexFinder(-1);
+
+  // Use a comparator function to figure out the smallest index at which
+  // an object should be inserted so as to maintain order. Uses binary search.
+  function sortedIndex(array, obj, iteratee, context) {
+    iteratee = cb(iteratee, context, 1);
+    var value = iteratee(obj);
+    var low = 0, high = getLength(array);
+    while (low < high) {
+      var mid = Math.floor((low + high) / 2);
+      if (iteratee(array[mid]) < value) low = mid + 1; else high = mid;
+    }
+    return low;
+  }
+
+  // Internal function to generate the `_.indexOf` and `_.lastIndexOf` functions.
+  function createIndexFinder(dir, predicateFind, sortedIndex) {
+    return function(array, item, idx) {
+      var i = 0, length = getLength(array);
+      if (typeof idx == 'number') {
+        if (dir > 0) {
+          i = idx >= 0 ? idx : Math.max(idx + length, i);
+        } else {
+          length = idx >= 0 ? Math.min(idx + 1, length) : idx + length + 1;
+        }
+      } else if (sortedIndex && idx && length) {
+        idx = sortedIndex(array, item);
+        return array[idx] === item ? idx : -1;
+      }
+      if (item !== item) {
+        idx = predicateFind(slice.call(array, i, length), isNaN$1);
+        return idx >= 0 ? idx + i : -1;
+      }
+      for (idx = dir > 0 ? i : length - 1; idx >= 0 && idx < length; idx += dir) {
+        if (array[idx] === item) return idx;
+      }
+      return -1;
+    };
+  }
+
+  // Return the position of the first occurrence of an item in an array,
+  // or -1 if the item is not included in the array.
+  // If the array is large and already in sort order, pass `true`
+  // for **isSorted** to use binary search.
+  var indexOf = createIndexFinder(1, findIndex, sortedIndex);
+
+  // Return the position of the last occurrence of an item in an array,
+  // or -1 if the item is not included in the array.
+  var lastIndexOf = createIndexFinder(-1, findLastIndex);
+
+  // Return the first value which passes a truth test.
+  function find(obj, predicate, context) {
+    var keyFinder = isArrayLike(obj) ? findIndex : findKey;
+    var key = keyFinder(obj, predicate, context);
+    if (key !== void 0 && key !== -1) return obj[key];
+  }
+
+  // Convenience version of a common use case of `_.find`: getting the first
+  // object containing specific `key:value` pairs.
+  function findWhere(obj, attrs) {
+    return find(obj, matcher(attrs));
+  }
+
+  // The cornerstone for collection functions, an `each`
+  // implementation, aka `forEach`.
+  // Handles raw objects in addition to array-likes. Treats all
+  // sparse array-likes as if they were dense.
+  function each(obj, iteratee, context) {
+    iteratee = optimizeCb(iteratee, context);
+    var i, length;
+    if (isArrayLike(obj)) {
+      for (i = 0, length = obj.length; i < length; i++) {
+        iteratee(obj[i], i, obj);
+      }
+    } else {
+      var _keys = keys(obj);
+      for (i = 0, length = _keys.length; i < length; i++) {
+        iteratee(obj[_keys[i]], _keys[i], obj);
+      }
+    }
+    return obj;
+  }
+
+  // Return the results of applying the iteratee to each element.
+  function map(obj, iteratee, context) {
+    iteratee = cb(iteratee, context);
+    var _keys = !isArrayLike(obj) && keys(obj),
+        length = (_keys || obj).length,
+        results = Array(length);
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys ? _keys[index] : index;
+      results[index] = iteratee(obj[currentKey], currentKey, obj);
+    }
+    return results;
+  }
+
+  // Internal helper to create a reducing function, iterating left or right.
+  function createReduce(dir) {
+    // Wrap code that reassigns argument variables in a separate function than
+    // the one that accesses `arguments.length` to avoid a perf hit. (#1991)
+    var reducer = function(obj, iteratee, memo, initial) {
+      var _keys = !isArrayLike(obj) && keys(obj),
+          length = (_keys || obj).length,
+          index = dir > 0 ? 0 : length - 1;
+      if (!initial) {
+        memo = obj[_keys ? _keys[index] : index];
+        index += dir;
+      }
+      for (; index >= 0 && index < length; index += dir) {
+        var currentKey = _keys ? _keys[index] : index;
+        memo = iteratee(memo, obj[currentKey], currentKey, obj);
+      }
+      return memo;
+    };
+
+    return function(obj, iteratee, memo, context) {
+      var initial = arguments.length >= 3;
+      return reducer(obj, optimizeCb(iteratee, context, 4), memo, initial);
+    };
+  }
+
+  // **Reduce** builds up a single result from a list of values, aka `inject`,
+  // or `foldl`.
+  var reduce = createReduce(1);
+
+  // The right-associative version of reduce, also known as `foldr`.
+  var reduceRight = createReduce(-1);
+
+  // Return all the elements that pass a truth test.
+  function filter(obj, predicate, context) {
+    var results = [];
+    predicate = cb(predicate, context);
+    each(obj, function(value, index, list) {
+      if (predicate(value, index, list)) results.push(value);
+    });
+    return results;
+  }
+
+  // Return all the elements for which a truth test fails.
+  function reject(obj, predicate, context) {
+    return filter(obj, negate(cb(predicate)), context);
+  }
+
+  // Determine whether all of the elements pass a truth test.
+  function every(obj, predicate, context) {
+    predicate = cb(predicate, context);
+    var _keys = !isArrayLike(obj) && keys(obj),
+        length = (_keys || obj).length;
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys ? _keys[index] : index;
+      if (!predicate(obj[currentKey], currentKey, obj)) return false;
+    }
+    return true;
+  }
+
+  // Determine if at least one element in the object passes a truth test.
+  function some(obj, predicate, context) {
+    predicate = cb(predicate, context);
+    var _keys = !isArrayLike(obj) && keys(obj),
+        length = (_keys || obj).length;
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys ? _keys[index] : index;
+      if (predicate(obj[currentKey], currentKey, obj)) return true;
+    }
+    return false;
+  }
+
+  // Determine if the array or object contains a given item (using `===`).
+  function contains(obj, item, fromIndex, guard) {
+    if (!isArrayLike(obj)) obj = values(obj);
+    if (typeof fromIndex != 'number' || guard) fromIndex = 0;
+    return indexOf(obj, item, fromIndex) >= 0;
+  }
+
+  // Invoke a method (with arguments) on every item in a collection.
+  var invoke = restArguments(function(obj, path, args) {
+    var contextPath, func;
+    if (isFunction$1(path)) {
+      func = path;
+    } else {
+      path = toPath(path);
+      contextPath = path.slice(0, -1);
+      path = path[path.length - 1];
+    }
+    return map(obj, function(context) {
+      var method = func;
+      if (!method) {
+        if (contextPath && contextPath.length) {
+          context = deepGet(context, contextPath);
+        }
+        if (context == null) return void 0;
+        method = context[path];
+      }
+      return method == null ? method : method.apply(context, args);
+    });
+  });
+
+  // Convenience version of a common use case of `_.map`: fetching a property.
+  function pluck(obj, key) {
+    return map(obj, property(key));
+  }
+
+  // Convenience version of a common use case of `_.filter`: selecting only
+  // objects containing specific `key:value` pairs.
+  function where(obj, attrs) {
+    return filter(obj, matcher(attrs));
+  }
+
+  // Return the maximum element (or element-based computation).
+  function max(obj, iteratee, context) {
+    var result = -Infinity, lastComputed = -Infinity,
+        value, computed;
+    if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) {
+      obj = isArrayLike(obj) ? obj : values(obj);
+      for (var i = 0, length = obj.length; i < length; i++) {
+        value = obj[i];
+        if (value != null && value > result) {
+          result = value;
+        }
+      }
+    } else {
+      iteratee = cb(iteratee, context);
+      each(obj, function(v, index, list) {
+        computed = iteratee(v, index, list);
+        if (computed > lastComputed || computed === -Infinity && result === -Infinity) {
+          result = v;
+          lastComputed = computed;
+        }
+      });
+    }
+    return result;
+  }
+
+  // Return the minimum element (or element-based computation).
+  function min(obj, iteratee, context) {
+    var result = Infinity, lastComputed = Infinity,
+        value, computed;
+    if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) {
+      obj = isArrayLike(obj) ? obj : values(obj);
+      for (var i = 0, length = obj.length; i < length; i++) {
+        value = obj[i];
+        if (value != null && value < result) {
+          result = value;
+        }
+      }
+    } else {
+      iteratee = cb(iteratee, context);
+      each(obj, function(v, index, list) {
+        computed = iteratee(v, index, list);
+        if (computed < lastComputed || computed === Infinity && result === Infinity) {
+          result = v;
+          lastComputed = computed;
+        }
+      });
+    }
+    return result;
+  }
+
+  // Sample **n** random values from a collection using the modern version of the
+  // [Fisher-Yates shuffle](https://en.wikipedia.org/wiki/Fisher–Yates_shuffle).
+  // If **n** is not specified, returns a single random element.
+  // The internal `guard` argument allows it to work with `_.map`.
+  function sample(obj, n, guard) {
+    if (n == null || guard) {
+      if (!isArrayLike(obj)) obj = values(obj);
+      return obj[random(obj.length - 1)];
+    }
+    var sample = isArrayLike(obj) ? clone(obj) : values(obj);
+    var length = getLength(sample);
+    n = Math.max(Math.min(n, length), 0);
+    var last = length - 1;
+    for (var index = 0; index < n; index++) {
+      var rand = random(index, last);
+      var temp = sample[index];
+      sample[index] = sample[rand];
+      sample[rand] = temp;
+    }
+    return sample.slice(0, n);
+  }
+
+  // Shuffle a collection.
+  function shuffle(obj) {
+    return sample(obj, Infinity);
+  }
+
+  // Sort the object's values by a criterion produced by an iteratee.
+  function sortBy(obj, iteratee, context) {
+    var index = 0;
+    iteratee = cb(iteratee, context);
+    return pluck(map(obj, function(value, key, list) {
+      return {
+        value: value,
+        index: index++,
+        criteria: iteratee(value, key, list)
+      };
+    }).sort(function(left, right) {
+      var a = left.criteria;
+      var b = right.criteria;
+      if (a !== b) {
+        if (a > b || a === void 0) return 1;
+        if (a < b || b === void 0) return -1;
+      }
+      return left.index - right.index;
+    }), 'value');
+  }
+
+  // An internal function used for aggregate "group by" operations.
+  function group(behavior, partition) {
+    return function(obj, iteratee, context) {
+      var result = partition ? [[], []] : {};
+      iteratee = cb(iteratee, context);
+      each(obj, function(value, index) {
+        var key = iteratee(value, index, obj);
+        behavior(result, value, key);
+      });
+      return result;
+    };
+  }
+
+  // Groups the object's values by a criterion. Pass either a string attribute
+  // to group by, or a function that returns the criterion.
+  var groupBy = group(function(result, value, key) {
+    if (has$1(result, key)) result[key].push(value); else result[key] = [value];
+  });
+
+  // Indexes the object's values by a criterion, similar to `_.groupBy`, but for
+  // when you know that your index values will be unique.
+  var indexBy = group(function(result, value, key) {
+    result[key] = value;
+  });
+
+  // Counts instances of an object that group by a certain criterion. Pass
+  // either a string attribute to count by, or a function that returns the
+  // criterion.
+  var countBy = group(function(result, value, key) {
+    if (has$1(result, key)) result[key]++; else result[key] = 1;
+  });
+
+  // Split a collection into two arrays: one whose elements all pass the given
+  // truth test, and one whose elements all do not pass the truth test.
+  var partition = group(function(result, value, pass) {
+    result[pass ? 0 : 1].push(value);
+  }, true);
+
+  // Safely create a real, live array from anything iterable.
+  var reStrSymbol = /[^\ud800-\udfff]|[\ud800-\udbff][\udc00-\udfff]|[\ud800-\udfff]/g;
+  function toArray(obj) {
+    if (!obj) return [];
+    if (isArray(obj)) return slice.call(obj);
+    if (isString(obj)) {
+      // Keep surrogate pair characters together.
+      return obj.match(reStrSymbol);
+    }
+    if (isArrayLike(obj)) return map(obj, identity);
+    return values(obj);
+  }
+
+  // Return the number of elements in a collection.
+  function size(obj) {
+    if (obj == null) return 0;
+    return isArrayLike(obj) ? obj.length : keys(obj).length;
+  }
+
+  // Internal `_.pick` helper function to determine whether `key` is an enumerable
+  // property name of `obj`.
+  function keyInObj(value, key, obj) {
+    return key in obj;
+  }
+
+  // Return a copy of the object only containing the allowed properties.
+  var pick = restArguments(function(obj, keys) {
+    var result = {}, iteratee = keys[0];
+    if (obj == null) return result;
+    if (isFunction$1(iteratee)) {
+      if (keys.length > 1) iteratee = optimizeCb(iteratee, keys[1]);
+      keys = allKeys(obj);
+    } else {
+      iteratee = keyInObj;
+      keys = flatten$1(keys, false, false);
+      obj = Object(obj);
+    }
+    for (var i = 0, length = keys.length; i < length; i++) {
+      var key = keys[i];
+      var value = obj[key];
+      if (iteratee(value, key, obj)) result[key] = value;
+    }
+    return result;
+  });
+
+  // Return a copy of the object without the disallowed properties.
+  var omit = restArguments(function(obj, keys) {
+    var iteratee = keys[0], context;
+    if (isFunction$1(iteratee)) {
+      iteratee = negate(iteratee);
+      if (keys.length > 1) context = keys[1];
+    } else {
+      keys = map(flatten$1(keys, false, false), String);
+      iteratee = function(value, key) {
+        return !contains(keys, key);
+      };
+    }
+    return pick(obj, iteratee, context);
+  });
+
+  // Returns everything but the last entry of the array. Especially useful on
+  // the arguments object. Passing **n** will return all the values in
+  // the array, excluding the last N.
+  function initial(array, n, guard) {
+    return slice.call(array, 0, Math.max(0, array.length - (n == null || guard ? 1 : n)));
+  }
+
+  // Get the first element of an array. Passing **n** will return the first N
+  // values in the array. The **guard** check allows it to work with `_.map`.
+  function first(array, n, guard) {
+    if (array == null || array.length < 1) return n == null || guard ? void 0 : [];
+    if (n == null || guard) return array[0];
+    return initial(array, array.length - n);
+  }
+
+  // Returns everything but the first entry of the `array`. Especially useful on
+  // the `arguments` object. Passing an **n** will return the rest N values in the
+  // `array`.
+  function rest(array, n, guard) {
+    return slice.call(array, n == null || guard ? 1 : n);
+  }
+
+  // Get the last element of an array. Passing **n** will return the last N
+  // values in the array.
+  function last(array, n, guard) {
+    if (array == null || array.length < 1) return n == null || guard ? void 0 : [];
+    if (n == null || guard) return array[array.length - 1];
+    return rest(array, Math.max(0, array.length - n));
+  }
+
+  // Trim out all falsy values from an array.
+  function compact(array) {
+    return filter(array, Boolean);
+  }
+
+  // Flatten out an array, either recursively (by default), or up to `depth`.
+  // Passing `true` or `false` as `depth` means `1` or `Infinity`, respectively.
+  function flatten(array, depth) {
+    return flatten$1(array, depth, false);
+  }
+
+  // Take the difference between one array and a number of other arrays.
+  // Only the elements present in just the first array will remain.
+  var difference = restArguments(function(array, rest) {
+    rest = flatten$1(rest, true, true);
+    return filter(array, function(value){
+      return !contains(rest, value);
+    });
+  });
+
+  // Return a version of the array that does not contain the specified value(s).
+  var without = restArguments(function(array, otherArrays) {
+    return difference(array, otherArrays);
+  });
+
+  // Produce a duplicate-free version of the array. If the array has already
+  // been sorted, you have the option of using a faster algorithm.
+  // The faster algorithm will not work with an iteratee if the iteratee
+  // is not a one-to-one function, so providing an iteratee will disable
+  // the faster algorithm.
+  function uniq(array, isSorted, iteratee, context) {
+    if (!isBoolean(isSorted)) {
+      context = iteratee;
+      iteratee = isSorted;
+      isSorted = false;
+    }
+    if (iteratee != null) iteratee = cb(iteratee, context);
+    var result = [];
+    var seen = [];
+    for (var i = 0, length = getLength(array); i < length; i++) {
+      var value = array[i],
+          computed = iteratee ? iteratee(value, i, array) : value;
+      if (isSorted && !iteratee) {
+        if (!i || seen !== computed) result.push(value);
+        seen = computed;
+      } else if (iteratee) {
+        if (!contains(seen, computed)) {
+          seen.push(computed);
+          result.push(value);
+        }
+      } else if (!contains(result, value)) {
+        result.push(value);
+      }
+    }
+    return result;
+  }
+
+  // Produce an array that contains the union: each distinct element from all of
+  // the passed-in arrays.
+  var union = restArguments(function(arrays) {
+    return uniq(flatten$1(arrays, true, true));
+  });
+
+  // Produce an array that contains every item shared between all the
+  // passed-in arrays.
+  function intersection(array) {
+    var result = [];
+    var argsLength = arguments.length;
+    for (var i = 0, length = getLength(array); i < length; i++) {
+      var item = array[i];
+      if (contains(result, item)) continue;
+      var j;
+      for (j = 1; j < argsLength; j++) {
+        if (!contains(arguments[j], item)) break;
+      }
+      if (j === argsLength) result.push(item);
+    }
+    return result;
+  }
+
+  // Complement of zip. Unzip accepts an array of arrays and groups
+  // each array's elements on shared indices.
+  function unzip(array) {
+    var length = array && max(array, getLength).length || 0;
+    var result = Array(length);
+
+    for (var index = 0; index < length; index++) {
+      result[index] = pluck(array, index);
+    }
+    return result;
+  }
+
+  // Zip together multiple lists into a single array -- elements that share
+  // an index go together.
+  var zip = restArguments(unzip);
+
+  // Converts lists into objects. Pass either a single array of `[key, value]`
+  // pairs, or two parallel arrays of the same length -- one of keys, and one of
+  // the corresponding values. Passing by pairs is the reverse of `_.pairs`.
+  function object(list, values) {
+    var result = {};
+    for (var i = 0, length = getLength(list); i < length; i++) {
+      if (values) {
+        result[list[i]] = values[i];
+      } else {
+        result[list[i][0]] = list[i][1];
+      }
+    }
+    return result;
+  }
+
+  // Generate an integer Array containing an arithmetic progression. A port of
+  // the native Python `range()` function. See
+  // [the Python documentation](https://docs.python.org/library/functions.html#range).
+  function range(start, stop, step) {
+    if (stop == null) {
+      stop = start || 0;
+      start = 0;
+    }
+    if (!step) {
+      step = stop < start ? -1 : 1;
+    }
+
+    var length = Math.max(Math.ceil((stop - start) / step), 0);
+    var range = Array(length);
+
+    for (var idx = 0; idx < length; idx++, start += step) {
+      range[idx] = start;
+    }
+
+    return range;
+  }
+
+  // Chunk a single array into multiple arrays, each containing `count` or fewer
+  // items.
+  function chunk(array, count) {
+    if (count == null || count < 1) return [];
+    var result = [];
+    var i = 0, length = array.length;
+    while (i < length) {
+      result.push(slice.call(array, i, i += count));
+    }
+    return result;
+  }
+
+  // Helper function to continue chaining intermediate results.
+  function chainResult(instance, obj) {
+    return instance._chain ? _$1(obj).chain() : obj;
+  }
+
+  // Add your own custom functions to the Underscore object.
+  function mixin(obj) {
+    each(functions(obj), function(name) {
+      var func = _$1[name] = obj[name];
+      _$1.prototype[name] = function() {
+        var args = [this._wrapped];
+        push.apply(args, arguments);
+        return chainResult(this, func.apply(_$1, args));
+      };
+    });
+    return _$1;
+  }
+
+  // Add all mutator `Array` functions to the wrapper.
+  each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) {
+    var method = ArrayProto[name];
+    _$1.prototype[name] = function() {
+      var obj = this._wrapped;
+      if (obj != null) {
+        method.apply(obj, arguments);
+        if ((name === 'shift' || name === 'splice') && obj.length === 0) {
+          delete obj[0];
+        }
+      }
+      return chainResult(this, obj);
+    };
+  });
+
+  // Add all accessor `Array` functions to the wrapper.
+  each(['concat', 'join', 'slice'], function(name) {
+    var method = ArrayProto[name];
+    _$1.prototype[name] = function() {
+      var obj = this._wrapped;
+      if (obj != null) obj = method.apply(obj, arguments);
+      return chainResult(this, obj);
+    };
+  });
+
+  // Named Exports
+
+  var allExports = {
+    __proto__: null,
+    VERSION: VERSION,
+    restArguments: restArguments,
+    isObject: isObject,
+    isNull: isNull,
+    isUndefined: isUndefined,
+    isBoolean: isBoolean,
+    isElement: isElement,
+    isString: isString,
+    isNumber: isNumber,
+    isDate: isDate,
+    isRegExp: isRegExp,
+    isError: isError,
+    isSymbol: isSymbol,
+    isArrayBuffer: isArrayBuffer,
+    isDataView: isDataView$1,
+    isArray: isArray,
+    isFunction: isFunction$1,
+    isArguments: isArguments$1,
+    isFinite: isFinite$1,
+    isNaN: isNaN$1,
+    isTypedArray: isTypedArray$1,
+    isEmpty: isEmpty,
+    isMatch: isMatch,
+    isEqual: isEqual,
+    isMap: isMap,
+    isWeakMap: isWeakMap,
+    isSet: isSet,
+    isWeakSet: isWeakSet,
+    keys: keys,
+    allKeys: allKeys,
+    values: values,
+    pairs: pairs,
+    invert: invert,
+    functions: functions,
+    methods: functions,
+    extend: extend,
+    extendOwn: extendOwn,
+    assign: extendOwn,
+    defaults: defaults,
+    create: create,
+    clone: clone,
+    tap: tap,
+    get: get,
+    has: has,
+    mapObject: mapObject,
+    identity: identity,
+    constant: constant,
+    noop: noop,
+    toPath: toPath$1,
+    property: property,
+    propertyOf: propertyOf,
+    matcher: matcher,
+    matches: matcher,
+    times: times,
+    random: random,
+    now: now,
+    escape: _escape,
+    unescape: _unescape,
+    templateSettings: templateSettings,
+    template: template,
+    result: result,
+    uniqueId: uniqueId,
+    chain: chain,
+    iteratee: iteratee,
+    partial: partial,
+    bind: bind,
+    bindAll: bindAll,
+    memoize: memoize,
+    delay: delay,
+    defer: defer,
+    throttle: throttle,
+    debounce: debounce,
+    wrap: wrap,
+    negate: negate,
+    compose: compose,
+    after: after,
+    before: before,
+    once: once,
+    findKey: findKey,
+    findIndex: findIndex,
+    findLastIndex: findLastIndex,
+    sortedIndex: sortedIndex,
+    indexOf: indexOf,
+    lastIndexOf: lastIndexOf,
+    find: find,
+    detect: find,
+    findWhere: findWhere,
+    each: each,
+    forEach: each,
+    map: map,
+    collect: map,
+    reduce: reduce,
+    foldl: reduce,
+    inject: reduce,
+    reduceRight: reduceRight,
+    foldr: reduceRight,
+    filter: filter,
+    select: filter,
+    reject: reject,
+    every: every,
+    all: every,
+    some: some,
+    any: some,
+    contains: contains,
+    includes: contains,
+    include: contains,
+    invoke: invoke,
+    pluck: pluck,
+    where: where,
+    max: max,
+    min: min,
+    shuffle: shuffle,
+    sample: sample,
+    sortBy: sortBy,
+    groupBy: groupBy,
+    indexBy: indexBy,
+    countBy: countBy,
+    partition: partition,
+    toArray: toArray,
+    size: size,
+    pick: pick,
+    omit: omit,
+    first: first,
+    head: first,
+    take: first,
+    initial: initial,
+    last: last,
+    rest: rest,
+    tail: rest,
+    drop: rest,
+    compact: compact,
+    flatten: flatten,
+    without: without,
+    uniq: uniq,
+    unique: uniq,
+    union: union,
+    intersection: intersection,
+    difference: difference,
+    unzip: unzip,
+    transpose: unzip,
+    zip: zip,
+    object: object,
+    range: range,
+    chunk: chunk,
+    mixin: mixin,
+    'default': _$1
+  };
+
+  // Default Export
+
+  // Add all of the Underscore functions to the wrapper object.
+  var _ = mixin(allExports);
+  // Legacy Node.js API.
+  _._ = _;
+
+  return _;
+
+})));
+//# sourceMappingURL=underscore-umd.js.map
diff --git a/docs/0.10.5/html/_static/underscore.js b/docs/0.10.5/html/_static/underscore.js
new file mode 100644
index 000000000..cf177d428
--- /dev/null
+++ b/docs/0.10.5/html/_static/underscore.js
@@ -0,0 +1,6 @@
+!function(n,r){"object"==typeof exports&&"undefined"!=typeof module?module.exports=r():"function"==typeof define&&define.amd?define("underscore",r):(n="undefined"!=typeof globalThis?globalThis:n||self,function(){var t=n._,e=n._=r();e.noConflict=function(){return n._=t,e}}())}(this,(function(){
+//     Underscore.js 1.13.1
+//     https://underscorejs.org
+//     (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors
+//     Underscore may be freely distributed under the MIT license.
+var n="1.13.1",r="object"==typeof self&&self.self===self&&self||"object"==typeof global&&global.global===global&&global||Function("return this")()||{},t=Array.prototype,e=Object.prototype,u="undefined"!=typeof Symbol?Symbol.prototype:null,o=t.push,i=t.slice,a=e.toString,f=e.hasOwnProperty,c="undefined"!=typeof ArrayBuffer,l="undefined"!=typeof DataView,s=Array.isArray,p=Object.keys,v=Object.create,h=c&&ArrayBuffer.isView,y=isNaN,d=isFinite,g=!{toString:null}.propertyIsEnumerable("toString"),b=["valueOf","isPrototypeOf","toString","propertyIsEnumerable","hasOwnProperty","toLocaleString"],m=Math.pow(2,53)-1;function j(n,r){return r=null==r?n.length-1:+r,function(){for(var t=Math.max(arguments.length-r,0),e=Array(t),u=0;u<t;u++)e[u]=arguments[u+r];switch(r){case 0:return n.call(this,e);case 1:return n.call(this,arguments[0],e);case 2:return n.call(this,arguments[0],arguments[1],e)}var o=Array(r+1);for(u=0;u<r;u++)o[u]=arguments[u];return o[r]=e,n.apply(this,o)}}function _(n){var r=typeof n;return"function"===r||"object"===r&&!!n}function w(n){return void 0===n}function A(n){return!0===n||!1===n||"[object Boolean]"===a.call(n)}function x(n){var r="[object "+n+"]";return function(n){return a.call(n)===r}}var S=x("String"),O=x("Number"),M=x("Date"),E=x("RegExp"),B=x("Error"),N=x("Symbol"),I=x("ArrayBuffer"),T=x("Function"),k=r.document&&r.document.childNodes;"function"!=typeof/./&&"object"!=typeof Int8Array&&"function"!=typeof k&&(T=function(n){return"function"==typeof n||!1});var D=T,R=x("Object"),F=l&&R(new DataView(new ArrayBuffer(8))),V="undefined"!=typeof Map&&R(new Map),P=x("DataView");var q=F?function(n){return null!=n&&D(n.getInt8)&&I(n.buffer)}:P,U=s||x("Array");function W(n,r){return null!=n&&f.call(n,r)}var z=x("Arguments");!function(){z(arguments)||(z=function(n){return W(n,"callee")})}();var L=z;function $(n){return O(n)&&y(n)}function C(n){return function(){return n}}function K(n){return function(r){var t=n(r);return"number"==typeof t&&t>=0&&t<=m}}function J(n){return function(r){return null==r?void 0:r[n]}}var G=J("byteLength"),H=K(G),Q=/\[object ((I|Ui)nt(8|16|32)|Float(32|64)|Uint8Clamped|Big(I|Ui)nt64)Array\]/;var X=c?function(n){return h?h(n)&&!q(n):H(n)&&Q.test(a.call(n))}:C(!1),Y=J("length");function Z(n,r){r=function(n){for(var r={},t=n.length,e=0;e<t;++e)r[n[e]]=!0;return{contains:function(n){return r[n]},push:function(t){return r[t]=!0,n.push(t)}}}(r);var t=b.length,u=n.constructor,o=D(u)&&u.prototype||e,i="constructor";for(W(n,i)&&!r.contains(i)&&r.push(i);t--;)(i=b[t])in n&&n[i]!==o[i]&&!r.contains(i)&&r.push(i)}function nn(n){if(!_(n))return[];if(p)return p(n);var r=[];for(var t in n)W(n,t)&&r.push(t);return g&&Z(n,r),r}function rn(n,r){var t=nn(r),e=t.length;if(null==n)return!e;for(var u=Object(n),o=0;o<e;o++){var i=t[o];if(r[i]!==u[i]||!(i in u))return!1}return!0}function tn(n){return n instanceof tn?n:this instanceof tn?void(this._wrapped=n):new tn(n)}function en(n){return new Uint8Array(n.buffer||n,n.byteOffset||0,G(n))}tn.VERSION=n,tn.prototype.value=function(){return this._wrapped},tn.prototype.valueOf=tn.prototype.toJSON=tn.prototype.value,tn.prototype.toString=function(){return String(this._wrapped)};var un="[object DataView]";function on(n,r,t,e){if(n===r)return 0!==n||1/n==1/r;if(null==n||null==r)return!1;if(n!=n)return r!=r;var o=typeof n;return("function"===o||"object"===o||"object"==typeof r)&&function n(r,t,e,o){r instanceof tn&&(r=r._wrapped);t instanceof tn&&(t=t._wrapped);var i=a.call(r);if(i!==a.call(t))return!1;if(F&&"[object Object]"==i&&q(r)){if(!q(t))return!1;i=un}switch(i){case"[object RegExp]":case"[object String]":return""+r==""+t;case"[object Number]":return+r!=+r?+t!=+t:0==+r?1/+r==1/t:+r==+t;case"[object Date]":case"[object Boolean]":return+r==+t;case"[object Symbol]":return u.valueOf.call(r)===u.valueOf.call(t);case"[object ArrayBuffer]":case un:return n(en(r),en(t),e,o)}var f="[object Array]"===i;if(!f&&X(r)){if(G(r)!==G(t))return!1;if(r.buffer===t.buffer&&r.byteOffset===t.byteOffset)return!0;f=!0}if(!f){if("object"!=typeof r||"object"!=typeof t)return!1;var c=r.constructor,l=t.constructor;if(c!==l&&!(D(c)&&c instanceof c&&D(l)&&l instanceof l)&&"constructor"in r&&"constructor"in t)return!1}o=o||[];var s=(e=e||[]).length;for(;s--;)if(e[s]===r)return o[s]===t;if(e.push(r),o.push(t),f){if((s=r.length)!==t.length)return!1;for(;s--;)if(!on(r[s],t[s],e,o))return!1}else{var p,v=nn(r);if(s=v.length,nn(t).length!==s)return!1;for(;s--;)if(p=v[s],!W(t,p)||!on(r[p],t[p],e,o))return!1}return e.pop(),o.pop(),!0}(n,r,t,e)}function an(n){if(!_(n))return[];var r=[];for(var t in n)r.push(t);return g&&Z(n,r),r}function fn(n){var r=Y(n);return function(t){if(null==t)return!1;var e=an(t);if(Y(e))return!1;for(var u=0;u<r;u++)if(!D(t[n[u]]))return!1;return n!==hn||!D(t[cn])}}var cn="forEach",ln="has",sn=["clear","delete"],pn=["get",ln,"set"],vn=sn.concat(cn,pn),hn=sn.concat(pn),yn=["add"].concat(sn,cn,ln),dn=V?fn(vn):x("Map"),gn=V?fn(hn):x("WeakMap"),bn=V?fn(yn):x("Set"),mn=x("WeakSet");function jn(n){for(var r=nn(n),t=r.length,e=Array(t),u=0;u<t;u++)e[u]=n[r[u]];return e}function _n(n){for(var r={},t=nn(n),e=0,u=t.length;e<u;e++)r[n[t[e]]]=t[e];return r}function wn(n){var r=[];for(var t in n)D(n[t])&&r.push(t);return r.sort()}function An(n,r){return function(t){var e=arguments.length;if(r&&(t=Object(t)),e<2||null==t)return t;for(var u=1;u<e;u++)for(var o=arguments[u],i=n(o),a=i.length,f=0;f<a;f++){var c=i[f];r&&void 0!==t[c]||(t[c]=o[c])}return t}}var xn=An(an),Sn=An(nn),On=An(an,!0);function Mn(n){if(!_(n))return{};if(v)return v(n);var r=function(){};r.prototype=n;var t=new r;return r.prototype=null,t}function En(n){return _(n)?U(n)?n.slice():xn({},n):n}function Bn(n){return U(n)?n:[n]}function Nn(n){return tn.toPath(n)}function In(n,r){for(var t=r.length,e=0;e<t;e++){if(null==n)return;n=n[r[e]]}return t?n:void 0}function Tn(n,r,t){var e=In(n,Nn(r));return w(e)?t:e}function kn(n){return n}function Dn(n){return n=Sn({},n),function(r){return rn(r,n)}}function Rn(n){return n=Nn(n),function(r){return In(r,n)}}function Fn(n,r,t){if(void 0===r)return n;switch(null==t?3:t){case 1:return function(t){return n.call(r,t)};case 3:return function(t,e,u){return n.call(r,t,e,u)};case 4:return function(t,e,u,o){return n.call(r,t,e,u,o)}}return function(){return n.apply(r,arguments)}}function Vn(n,r,t){return null==n?kn:D(n)?Fn(n,r,t):_(n)&&!U(n)?Dn(n):Rn(n)}function Pn(n,r){return Vn(n,r,1/0)}function qn(n,r,t){return tn.iteratee!==Pn?tn.iteratee(n,r):Vn(n,r,t)}function Un(){}function Wn(n,r){return null==r&&(r=n,n=0),n+Math.floor(Math.random()*(r-n+1))}tn.toPath=Bn,tn.iteratee=Pn;var zn=Date.now||function(){return(new Date).getTime()};function Ln(n){var r=function(r){return n[r]},t="(?:"+nn(n).join("|")+")",e=RegExp(t),u=RegExp(t,"g");return function(n){return n=null==n?"":""+n,e.test(n)?n.replace(u,r):n}}var $n={"&":"&amp;","<":"&lt;",">":"&gt;",'"':"&quot;","'":"&#x27;","`":"&#x60;"},Cn=Ln($n),Kn=Ln(_n($n)),Jn=tn.templateSettings={evaluate:/<%([\s\S]+?)%>/g,interpolate:/<%=([\s\S]+?)%>/g,escape:/<%-([\s\S]+?)%>/g},Gn=/(.)^/,Hn={"'":"'","\\":"\\","\r":"r","\n":"n","\u2028":"u2028","\u2029":"u2029"},Qn=/\\|'|\r|\n|\u2028|\u2029/g;function Xn(n){return"\\"+Hn[n]}var Yn=/^\s*(\w|\$)+\s*$/;var Zn=0;function nr(n,r,t,e,u){if(!(e instanceof r))return n.apply(t,u);var o=Mn(n.prototype),i=n.apply(o,u);return _(i)?i:o}var rr=j((function(n,r){var t=rr.placeholder,e=function(){for(var u=0,o=r.length,i=Array(o),a=0;a<o;a++)i[a]=r[a]===t?arguments[u++]:r[a];for(;u<arguments.length;)i.push(arguments[u++]);return nr(n,e,this,this,i)};return e}));rr.placeholder=tn;var tr=j((function(n,r,t){if(!D(n))throw new TypeError("Bind must be called on a function");var e=j((function(u){return nr(n,e,r,this,t.concat(u))}));return e})),er=K(Y);function ur(n,r,t,e){if(e=e||[],r||0===r){if(r<=0)return e.concat(n)}else r=1/0;for(var u=e.length,o=0,i=Y(n);o<i;o++){var a=n[o];if(er(a)&&(U(a)||L(a)))if(r>1)ur(a,r-1,t,e),u=e.length;else for(var f=0,c=a.length;f<c;)e[u++]=a[f++];else t||(e[u++]=a)}return e}var or=j((function(n,r){var t=(r=ur(r,!1,!1)).length;if(t<1)throw new Error("bindAll must be passed function names");for(;t--;){var e=r[t];n[e]=tr(n[e],n)}return n}));var ir=j((function(n,r,t){return setTimeout((function(){return n.apply(null,t)}),r)})),ar=rr(ir,tn,1);function fr(n){return function(){return!n.apply(this,arguments)}}function cr(n,r){var t;return function(){return--n>0&&(t=r.apply(this,arguments)),n<=1&&(r=null),t}}var lr=rr(cr,2);function sr(n,r,t){r=qn(r,t);for(var e,u=nn(n),o=0,i=u.length;o<i;o++)if(r(n[e=u[o]],e,n))return e}function pr(n){return function(r,t,e){t=qn(t,e);for(var u=Y(r),o=n>0?0:u-1;o>=0&&o<u;o+=n)if(t(r[o],o,r))return o;return-1}}var vr=pr(1),hr=pr(-1);function yr(n,r,t,e){for(var u=(t=qn(t,e,1))(r),o=0,i=Y(n);o<i;){var a=Math.floor((o+i)/2);t(n[a])<u?o=a+1:i=a}return o}function dr(n,r,t){return function(e,u,o){var a=0,f=Y(e);if("number"==typeof o)n>0?a=o>=0?o:Math.max(o+f,a):f=o>=0?Math.min(o+1,f):o+f+1;else if(t&&o&&f)return e[o=t(e,u)]===u?o:-1;if(u!=u)return(o=r(i.call(e,a,f),$))>=0?o+a:-1;for(o=n>0?a:f-1;o>=0&&o<f;o+=n)if(e[o]===u)return o;return-1}}var gr=dr(1,vr,yr),br=dr(-1,hr);function mr(n,r,t){var e=(er(n)?vr:sr)(n,r,t);if(void 0!==e&&-1!==e)return n[e]}function jr(n,r,t){var e,u;if(r=Fn(r,t),er(n))for(e=0,u=n.length;e<u;e++)r(n[e],e,n);else{var o=nn(n);for(e=0,u=o.length;e<u;e++)r(n[o[e]],o[e],n)}return n}function _r(n,r,t){r=qn(r,t);for(var e=!er(n)&&nn(n),u=(e||n).length,o=Array(u),i=0;i<u;i++){var a=e?e[i]:i;o[i]=r(n[a],a,n)}return o}function wr(n){var r=function(r,t,e,u){var o=!er(r)&&nn(r),i=(o||r).length,a=n>0?0:i-1;for(u||(e=r[o?o[a]:a],a+=n);a>=0&&a<i;a+=n){var f=o?o[a]:a;e=t(e,r[f],f,r)}return e};return function(n,t,e,u){var o=arguments.length>=3;return r(n,Fn(t,u,4),e,o)}}var Ar=wr(1),xr=wr(-1);function Sr(n,r,t){var e=[];return r=qn(r,t),jr(n,(function(n,t,u){r(n,t,u)&&e.push(n)})),e}function Or(n,r,t){r=qn(r,t);for(var e=!er(n)&&nn(n),u=(e||n).length,o=0;o<u;o++){var i=e?e[o]:o;if(!r(n[i],i,n))return!1}return!0}function Mr(n,r,t){r=qn(r,t);for(var e=!er(n)&&nn(n),u=(e||n).length,o=0;o<u;o++){var i=e?e[o]:o;if(r(n[i],i,n))return!0}return!1}function Er(n,r,t,e){return er(n)||(n=jn(n)),("number"!=typeof t||e)&&(t=0),gr(n,r,t)>=0}var Br=j((function(n,r,t){var e,u;return D(r)?u=r:(r=Nn(r),e=r.slice(0,-1),r=r[r.length-1]),_r(n,(function(n){var o=u;if(!o){if(e&&e.length&&(n=In(n,e)),null==n)return;o=n[r]}return null==o?o:o.apply(n,t)}))}));function Nr(n,r){return _r(n,Rn(r))}function Ir(n,r,t){var e,u,o=-1/0,i=-1/0;if(null==r||"number"==typeof r&&"object"!=typeof n[0]&&null!=n)for(var a=0,f=(n=er(n)?n:jn(n)).length;a<f;a++)null!=(e=n[a])&&e>o&&(o=e);else r=qn(r,t),jr(n,(function(n,t,e){((u=r(n,t,e))>i||u===-1/0&&o===-1/0)&&(o=n,i=u)}));return o}function Tr(n,r,t){if(null==r||t)return er(n)||(n=jn(n)),n[Wn(n.length-1)];var e=er(n)?En(n):jn(n),u=Y(e);r=Math.max(Math.min(r,u),0);for(var o=u-1,i=0;i<r;i++){var a=Wn(i,o),f=e[i];e[i]=e[a],e[a]=f}return e.slice(0,r)}function kr(n,r){return function(t,e,u){var o=r?[[],[]]:{};return e=qn(e,u),jr(t,(function(r,u){var i=e(r,u,t);n(o,r,i)})),o}}var Dr=kr((function(n,r,t){W(n,t)?n[t].push(r):n[t]=[r]})),Rr=kr((function(n,r,t){n[t]=r})),Fr=kr((function(n,r,t){W(n,t)?n[t]++:n[t]=1})),Vr=kr((function(n,r,t){n[t?0:1].push(r)}),!0),Pr=/[^\ud800-\udfff]|[\ud800-\udbff][\udc00-\udfff]|[\ud800-\udfff]/g;function qr(n,r,t){return r in t}var Ur=j((function(n,r){var t={},e=r[0];if(null==n)return t;D(e)?(r.length>1&&(e=Fn(e,r[1])),r=an(n)):(e=qr,r=ur(r,!1,!1),n=Object(n));for(var u=0,o=r.length;u<o;u++){var i=r[u],a=n[i];e(a,i,n)&&(t[i]=a)}return t})),Wr=j((function(n,r){var t,e=r[0];return D(e)?(e=fr(e),r.length>1&&(t=r[1])):(r=_r(ur(r,!1,!1),String),e=function(n,t){return!Er(r,t)}),Ur(n,e,t)}));function zr(n,r,t){return i.call(n,0,Math.max(0,n.length-(null==r||t?1:r)))}function Lr(n,r,t){return null==n||n.length<1?null==r||t?void 0:[]:null==r||t?n[0]:zr(n,n.length-r)}function $r(n,r,t){return i.call(n,null==r||t?1:r)}var Cr=j((function(n,r){return r=ur(r,!0,!0),Sr(n,(function(n){return!Er(r,n)}))})),Kr=j((function(n,r){return Cr(n,r)}));function Jr(n,r,t,e){A(r)||(e=t,t=r,r=!1),null!=t&&(t=qn(t,e));for(var u=[],o=[],i=0,a=Y(n);i<a;i++){var f=n[i],c=t?t(f,i,n):f;r&&!t?(i&&o===c||u.push(f),o=c):t?Er(o,c)||(o.push(c),u.push(f)):Er(u,f)||u.push(f)}return u}var Gr=j((function(n){return Jr(ur(n,!0,!0))}));function Hr(n){for(var r=n&&Ir(n,Y).length||0,t=Array(r),e=0;e<r;e++)t[e]=Nr(n,e);return t}var Qr=j(Hr);function Xr(n,r){return n._chain?tn(r).chain():r}function Yr(n){return jr(wn(n),(function(r){var t=tn[r]=n[r];tn.prototype[r]=function(){var n=[this._wrapped];return o.apply(n,arguments),Xr(this,t.apply(tn,n))}})),tn}jr(["pop","push","reverse","shift","sort","splice","unshift"],(function(n){var r=t[n];tn.prototype[n]=function(){var t=this._wrapped;return null!=t&&(r.apply(t,arguments),"shift"!==n&&"splice"!==n||0!==t.length||delete t[0]),Xr(this,t)}})),jr(["concat","join","slice"],(function(n){var r=t[n];tn.prototype[n]=function(){var n=this._wrapped;return null!=n&&(n=r.apply(n,arguments)),Xr(this,n)}}));var Zr=Yr({__proto__:null,VERSION:n,restArguments:j,isObject:_,isNull:function(n){return null===n},isUndefined:w,isBoolean:A,isElement:function(n){return!(!n||1!==n.nodeType)},isString:S,isNumber:O,isDate:M,isRegExp:E,isError:B,isSymbol:N,isArrayBuffer:I,isDataView:q,isArray:U,isFunction:D,isArguments:L,isFinite:function(n){return!N(n)&&d(n)&&!isNaN(parseFloat(n))},isNaN:$,isTypedArray:X,isEmpty:function(n){if(null==n)return!0;var r=Y(n);return"number"==typeof r&&(U(n)||S(n)||L(n))?0===r:0===Y(nn(n))},isMatch:rn,isEqual:function(n,r){return on(n,r)},isMap:dn,isWeakMap:gn,isSet:bn,isWeakSet:mn,keys:nn,allKeys:an,values:jn,pairs:function(n){for(var r=nn(n),t=r.length,e=Array(t),u=0;u<t;u++)e[u]=[r[u],n[r[u]]];return e},invert:_n,functions:wn,methods:wn,extend:xn,extendOwn:Sn,assign:Sn,defaults:On,create:function(n,r){var t=Mn(n);return r&&Sn(t,r),t},clone:En,tap:function(n,r){return r(n),n},get:Tn,has:function(n,r){for(var t=(r=Nn(r)).length,e=0;e<t;e++){var u=r[e];if(!W(n,u))return!1;n=n[u]}return!!t},mapObject:function(n,r,t){r=qn(r,t);for(var e=nn(n),u=e.length,o={},i=0;i<u;i++){var a=e[i];o[a]=r(n[a],a,n)}return o},identity:kn,constant:C,noop:Un,toPath:Bn,property:Rn,propertyOf:function(n){return null==n?Un:function(r){return Tn(n,r)}},matcher:Dn,matches:Dn,times:function(n,r,t){var e=Array(Math.max(0,n));r=Fn(r,t,1);for(var u=0;u<n;u++)e[u]=r(u);return e},random:Wn,now:zn,escape:Cn,unescape:Kn,templateSettings:Jn,template:function(n,r,t){!r&&t&&(r=t),r=On({},r,tn.templateSettings);var e=RegExp([(r.escape||Gn).source,(r.interpolate||Gn).source,(r.evaluate||Gn).source].join("|")+"|$","g"),u=0,o="__p+='";n.replace(e,(function(r,t,e,i,a){return o+=n.slice(u,a).replace(Qn,Xn),u=a+r.length,t?o+="'+\n((__t=("+t+"))==null?'':_.escape(__t))+\n'":e?o+="'+\n((__t=("+e+"))==null?'':__t)+\n'":i&&(o+="';\n"+i+"\n__p+='"),r})),o+="';\n";var i,a=r.variable;if(a){if(!Yn.test(a))throw new Error("variable is not a bare identifier: "+a)}else o="with(obj||{}){\n"+o+"}\n",a="obj";o="var __t,__p='',__j=Array.prototype.join,"+"print=function(){__p+=__j.call(arguments,'');};\n"+o+"return __p;\n";try{i=new Function(a,"_",o)}catch(n){throw n.source=o,n}var f=function(n){return i.call(this,n,tn)};return f.source="function("+a+"){\n"+o+"}",f},result:function(n,r,t){var e=(r=Nn(r)).length;if(!e)return D(t)?t.call(n):t;for(var u=0;u<e;u++){var o=null==n?void 0:n[r[u]];void 0===o&&(o=t,u=e),n=D(o)?o.call(n):o}return n},uniqueId:function(n){var r=++Zn+"";return n?n+r:r},chain:function(n){var r=tn(n);return r._chain=!0,r},iteratee:Pn,partial:rr,bind:tr,bindAll:or,memoize:function(n,r){var t=function(e){var u=t.cache,o=""+(r?r.apply(this,arguments):e);return W(u,o)||(u[o]=n.apply(this,arguments)),u[o]};return t.cache={},t},delay:ir,defer:ar,throttle:function(n,r,t){var e,u,o,i,a=0;t||(t={});var f=function(){a=!1===t.leading?0:zn(),e=null,i=n.apply(u,o),e||(u=o=null)},c=function(){var c=zn();a||!1!==t.leading||(a=c);var l=r-(c-a);return u=this,o=arguments,l<=0||l>r?(e&&(clearTimeout(e),e=null),a=c,i=n.apply(u,o),e||(u=o=null)):e||!1===t.trailing||(e=setTimeout(f,l)),i};return c.cancel=function(){clearTimeout(e),a=0,e=u=o=null},c},debounce:function(n,r,t){var e,u,o,i,a,f=function(){var c=zn()-u;r>c?e=setTimeout(f,r-c):(e=null,t||(i=n.apply(a,o)),e||(o=a=null))},c=j((function(c){return a=this,o=c,u=zn(),e||(e=setTimeout(f,r),t&&(i=n.apply(a,o))),i}));return c.cancel=function(){clearTimeout(e),e=o=a=null},c},wrap:function(n,r){return rr(r,n)},negate:fr,compose:function(){var n=arguments,r=n.length-1;return function(){for(var t=r,e=n[r].apply(this,arguments);t--;)e=n[t].call(this,e);return e}},after:function(n,r){return function(){if(--n<1)return r.apply(this,arguments)}},before:cr,once:lr,findKey:sr,findIndex:vr,findLastIndex:hr,sortedIndex:yr,indexOf:gr,lastIndexOf:br,find:mr,detect:mr,findWhere:function(n,r){return mr(n,Dn(r))},each:jr,forEach:jr,map:_r,collect:_r,reduce:Ar,foldl:Ar,inject:Ar,reduceRight:xr,foldr:xr,filter:Sr,select:Sr,reject:function(n,r,t){return Sr(n,fr(qn(r)),t)},every:Or,all:Or,some:Mr,any:Mr,contains:Er,includes:Er,include:Er,invoke:Br,pluck:Nr,where:function(n,r){return Sr(n,Dn(r))},max:Ir,min:function(n,r,t){var e,u,o=1/0,i=1/0;if(null==r||"number"==typeof r&&"object"!=typeof n[0]&&null!=n)for(var a=0,f=(n=er(n)?n:jn(n)).length;a<f;a++)null!=(e=n[a])&&e<o&&(o=e);else r=qn(r,t),jr(n,(function(n,t,e){((u=r(n,t,e))<i||u===1/0&&o===1/0)&&(o=n,i=u)}));return o},shuffle:function(n){return Tr(n,1/0)},sample:Tr,sortBy:function(n,r,t){var e=0;return r=qn(r,t),Nr(_r(n,(function(n,t,u){return{value:n,index:e++,criteria:r(n,t,u)}})).sort((function(n,r){var t=n.criteria,e=r.criteria;if(t!==e){if(t>e||void 0===t)return 1;if(t<e||void 0===e)return-1}return n.index-r.index})),"value")},groupBy:Dr,indexBy:Rr,countBy:Fr,partition:Vr,toArray:function(n){return n?U(n)?i.call(n):S(n)?n.match(Pr):er(n)?_r(n,kn):jn(n):[]},size:function(n){return null==n?0:er(n)?n.length:nn(n).length},pick:Ur,omit:Wr,first:Lr,head:Lr,take:Lr,initial:zr,last:function(n,r,t){return null==n||n.length<1?null==r||t?void 0:[]:null==r||t?n[n.length-1]:$r(n,Math.max(0,n.length-r))},rest:$r,tail:$r,drop:$r,compact:function(n){return Sr(n,Boolean)},flatten:function(n,r){return ur(n,r,!1)},without:Kr,uniq:Jr,unique:Jr,union:Gr,intersection:function(n){for(var r=[],t=arguments.length,e=0,u=Y(n);e<u;e++){var o=n[e];if(!Er(r,o)){var i;for(i=1;i<t&&Er(arguments[i],o);i++);i===t&&r.push(o)}}return r},difference:Cr,unzip:Hr,transpose:Hr,zip:Qr,object:function(n,r){for(var t={},e=0,u=Y(n);e<u;e++)r?t[n[e]]=r[e]:t[n[e][0]]=n[e][1];return t},range:function(n,r,t){null==r&&(r=n||0,n=0),t||(t=r<n?-1:1);for(var e=Math.max(Math.ceil((r-n)/t),0),u=Array(e),o=0;o<e;o++,n+=t)u[o]=n;return u},chunk:function(n,r){if(null==r||r<1)return[];for(var t=[],e=0,u=n.length;e<u;)t.push(i.call(n,e,e+=r));return t},mixin:Yr,default:tn});return Zr._=Zr,Zr}));
\ No newline at end of file
diff --git a/docs/0.10.5/html/add_new_model_to_data_labeler.html b/docs/0.10.5/html/add_new_model_to_data_labeler.html
new file mode 100644
index 000000000..e195c4b3b
--- /dev/null
+++ b/docs/0.10.5/html/add_new_model_to_data_labeler.html
@@ -0,0 +1,936 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Building a Regex Data Labeler w/ your own Regex" href="regex_labeler_from_scratch.html" /><link rel="prev" title="Sensitive Data Detection with the Labeler" href="labeler.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Adding new model to the existing DataLabeler pipeline - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/add_new_model_to_data_labeler.nblink">View this notebook on GitHub</a></p>
+<section id="Adding-new-model-to-the-existing-DataLabeler-pipeline">
+<h1>Adding new model to the existing DataLabeler pipeline<a class="headerlink" href="#Adding-new-model-to-the-existing-DataLabeler-pipeline" title="Permalink to this headline">¶</a></h1>
+<p>Consider the case when we would like to explore different character-level neural network models and evaluate their performance on different datasets. The existing DataLabeler in the DataProfiler library already contains a preprocessor, a postprocessor, and a character-level CNN (Convolutional Neural Network) model that are combined to work on such data. All we need is to build additional model classes that inherit the main functionalities from the CNN model and also adapt the model construction
+to the desired architectures. In this example, we define such a new model to be used with the Data Labeler component of the Data Profiler. In particular, a character-level LSTM (Long Short-Term Memory) model is implemented, then integrated into the DataLabeler pipeline to be trained with a tabular dataset. The process includes the following steps:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>- Build a new character-level LSTM model that inherits the CNN model
+- Load the DataLabeler from the DataProfiler
+- Swap the existing CNN model with the new LSTM model
+- Train the data labeler pipeline on a given dataset
+</pre></div>
+</div>
+<p>First, let’s import the libraries needed for this example.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="n">sys</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="s1">'..'</span><span class="p">)</span>
+<span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+</pre></div>
+</div>
+</div>
+<section id="Dataset">
+<h2>Dataset<a class="headerlink" href="#Dataset" title="Permalink to this headline">¶</a></h2>
+<p>In this example, we use a structured dataset, the aws honeypot dataset, given in the test folder of the library. This dataset is first read by the Data Reader class of the Data Profiler, then split into training and test data to be used in the next sections.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># use data reader to read input data</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv"</span><span class="p">)</span>
+<span class="n">df_data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">data</span>
+
+<span class="c1"># split data to training and test set</span>
+<span class="n">split_ratio</span> <span class="o">=</span> <span class="mf">0.2</span>
+<span class="n">df_data</span> <span class="o">=</span> <span class="n">df_data</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">frac</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">data_train</span> <span class="o">=</span> <span class="n">df_data</span><span class="p">[:</span><span class="nb">int</span><span class="p">((</span><span class="mi">1</span> <span class="o">-</span> <span class="n">split_ratio</span><span class="p">)</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">df_data</span><span class="p">))]</span>
+<span class="n">data_test</span> <span class="o">=</span> <span class="n">df_data</span><span class="p">[</span><span class="nb">int</span><span class="p">((</span><span class="mi">1</span> <span class="o">-</span> <span class="n">split_ratio</span><span class="p">)</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">df_data</span><span class="p">)):]</span>
+
+<span class="n">df_data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Implement-a-new-character-level-LSTM-model">
+<h2>Implement a new character-level LSTM model<a class="headerlink" href="#Implement-a-new-character-level-LSTM-model" title="Permalink to this headline">¶</a></h2>
+<p>This new model is inherited from <code class="docutils literal notranslate"><span class="pre">CharacterLevelCnnModel</span></code> class, with some modifications on the following functions</p>
+<p><code class="docutils literal notranslate"><span class="pre">__init__</span></code>: to add new parameters for the LSTM model. The new parameters, <code class="docutils literal notranslate"><span class="pre">size_lstm</span></code>, <code class="docutils literal notranslate"><span class="pre">rec_dropout</span></code>, <code class="docutils literal notranslate"><span class="pre">activation</span></code>, <code class="docutils literal notranslate"><span class="pre">recurrent_activation</span></code>, specify number of LSTM layers, activation function, and recurrent dropout ratio.</p>
+<p><code class="docutils literal notranslate"><span class="pre">_validate_parameters</span></code>: to add additional checks on the new parameters for the LSTM model</p>
+<p><code class="docutils literal notranslate"><span class="pre">_construct_model</span></code>: to construct the new LSTM model with the desired architecture</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.labelers.character_level_cnn_model</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">CharacterLevelCnnModel</span><span class="p">,</span>
+    <span class="n">create_glove_char</span><span class="p">,</span>
+    <span class="n">build_embd_dictionary</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.labelers.base_model</span> <span class="kn">import</span> <span class="n">BaseModel</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.labelers.labeler_utils</span> <span class="kn">import</span> <span class="n">F1Score</span>
+
+
+<span class="c1"># CharacterLevelLstmModel derives from CharacterLevelCnnModel</span>
+<span class="c1">#########################################################</span>
+<span class="c1">#########################################################</span>
+<span class="k">class</span> <span class="nc">CharacterLevelLstmModel</span><span class="p">(</span><span class="n">CharacterLevelCnnModel</span><span class="p">):</span>
+    <span class="c1"># boolean if the label mapping requires the mapping for index 0 reserved</span>
+    <span class="n">requires_zero_mapping</span> <span class="o">=</span> <span class="kc">True</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">label_mapping</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">parameters</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        LSTM Model Initializer</span>
+<span class="sd">        """</span>
+
+        <span class="c1"># parameter initialization</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">parameters</span><span class="p">:</span>
+            <span class="n">parameters</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="n">parameters</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="s2">"max_length"</span><span class="p">,</span> <span class="mi">3400</span><span class="p">)</span>
+        <span class="n">parameters</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="s2">"max_char_encoding_id"</span><span class="p">,</span> <span class="mi">127</span><span class="p">)</span>
+        <span class="n">parameters</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="s2">"dim_embed"</span><span class="p">,</span> <span class="mi">64</span><span class="p">)</span>
+        <span class="n">parameters</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="s2">"size_fc"</span><span class="p">,</span> <span class="p">[</span><span class="mi">32</span><span class="p">,</span> <span class="mi">32</span><span class="p">])</span>
+        <span class="n">parameters</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="s2">"dropout"</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">)</span>
+        <span class="c1"># new parameters for LSTM model</span>
+        <span class="c1">#########################################################</span>
+        <span class="c1">#########################################################</span>
+        <span class="n">parameters</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="s2">"size_lstm"</span><span class="p">,</span> <span class="p">[</span><span class="mi">64</span><span class="p">])</span>
+        <span class="n">parameters</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="s2">"rec_dropout"</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">)</span>
+        <span class="n">parameters</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="s2">"activation"</span><span class="p">,</span> <span class="s2">"tanh"</span><span class="p">)</span>
+        <span class="n">parameters</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="s2">"recurrent_activation"</span><span class="p">,</span> <span class="s2">"sigmoid"</span><span class="p">)</span>
+        <span class="c1">#########################################################</span>
+        <span class="c1">#########################################################</span>
+        <span class="n">parameters</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="s2">"default_label"</span><span class="p">,</span> <span class="s2">"UNKNOWN"</span><span class="p">)</span>
+        <span class="n">parameters</span><span class="p">[</span><span class="s2">"pad_label"</span><span class="p">]</span> <span class="o">=</span> <span class="s2">"PAD"</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_epoch_id</span> <span class="o">=</span> <span class="mi">0</span>
+
+        <span class="c1"># reconstruct flags for model</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model_num_labels</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model_default_ind</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span>
+
+        <span class="n">BaseModel</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">label_mapping</span><span class="p">,</span> <span class="n">parameters</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_validate_parameters</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">parameters</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Validate the parameters sent in. Raise error if invalid parameters are</span>
+<span class="sd">        present.</span>
+<span class="sd">        """</span>
+        <span class="n">errors</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">list_of_necessary_params</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="s2">"max_length"</span><span class="p">,</span>
+            <span class="s2">"max_char_encoding_id"</span><span class="p">,</span>
+            <span class="s2">"dim_embed"</span><span class="p">,</span>
+            <span class="s2">"size_fc"</span><span class="p">,</span>
+            <span class="s2">"dropout"</span><span class="p">,</span>
+            <span class="s2">"size_lstm"</span><span class="p">,</span>
+            <span class="s2">"rec_dropout"</span><span class="p">,</span>
+            <span class="s2">"activation"</span><span class="p">,</span>
+            <span class="s2">"recurrent_activation"</span><span class="p">,</span>
+            <span class="s2">"default_label"</span><span class="p">,</span>
+            <span class="s2">"pad_label"</span><span class="p">,</span>
+        <span class="p">]</span>
+        <span class="c1"># Make sure the necessary parameters are present and valid.</span>
+        <span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">parameters</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">param</span> <span class="ow">in</span> <span class="p">[</span>
+                <span class="s2">"max_length"</span><span class="p">,</span>
+                <span class="s2">"max_char_encoding_id"</span><span class="p">,</span>
+                <span class="s2">"dim_embed"</span><span class="p">,</span>
+                <span class="s2">"size_conv"</span><span class="p">,</span>
+            <span class="p">]:</span>
+                <span class="k">if</span> <span class="p">(</span>
+                    <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">parameters</span><span class="p">[</span><span class="n">param</span><span class="p">],</span> <span class="p">(</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">))</span>
+                    <span class="ow">or</span> <span class="n">parameters</span><span class="p">[</span><span class="n">param</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mi">0</span>
+                <span class="p">):</span>
+                    <span class="n">errors</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+                        <span class="n">param</span> <span class="o">+</span> <span class="s2">" must be a valid integer or float "</span> <span class="s2">"greater than 0."</span>
+                    <span class="p">)</span>
+            <span class="k">elif</span> <span class="n">param</span> <span class="ow">in</span> <span class="p">[</span>
+                <span class="s2">"dropout"</span><span class="p">,</span>
+                <span class="s2">"rec_dropout"</span><span class="p">,</span>
+            <span class="p">]:</span>  <span class="c1"># additional check for rec_dropout</span>
+                <span class="k">if</span> <span class="p">(</span>
+                    <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">parameters</span><span class="p">[</span><span class="n">param</span><span class="p">],</span> <span class="p">(</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">))</span>
+                    <span class="ow">or</span> <span class="n">parameters</span><span class="p">[</span><span class="n">param</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mi">0</span>
+                    <span class="ow">or</span> <span class="n">parameters</span><span class="p">[</span><span class="n">param</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">1</span>
+                <span class="p">):</span>
+                    <span class="n">errors</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+                        <span class="n">param</span> <span class="o">+</span> <span class="s2">" must be a valid integer or float "</span> <span class="s2">"from 0 to 1."</span>
+                    <span class="p">)</span>
+            <span class="k">elif</span> <span class="p">(</span>
+                <span class="n">param</span> <span class="o">==</span> <span class="s2">"size_fc"</span> <span class="ow">or</span> <span class="n">param</span> <span class="o">==</span> <span class="s2">"size_lstm"</span>
+            <span class="p">):</span>  <span class="c1"># additional check for size_lstm</span>
+                <span class="k">if</span> <span class="p">(</span>
+                    <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">parameters</span><span class="p">[</span><span class="n">param</span><span class="p">],</span> <span class="nb">list</span><span class="p">)</span>
+                    <span class="ow">or</span> <span class="nb">len</span><span class="p">(</span><span class="n">parameters</span><span class="p">[</span><span class="n">param</span><span class="p">])</span> <span class="o">==</span> <span class="mi">0</span>
+                <span class="p">):</span>
+                    <span class="n">errors</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">param</span> <span class="o">+</span> <span class="s2">" must be a non-empty list of "</span> <span class="s2">"integers."</span><span class="p">)</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">parameters</span><span class="p">[</span><span class="n">param</span><span class="p">]:</span>
+                        <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">item</span><span class="p">,</span> <span class="nb">int</span><span class="p">):</span>
+                            <span class="n">errors</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+                                <span class="n">param</span> <span class="o">+</span> <span class="s2">" must be a non-empty "</span> <span class="s2">"list of integers."</span>
+                            <span class="p">)</span>
+                            <span class="k">break</span>
+            <span class="k">elif</span> <span class="n">param</span> <span class="ow">in</span> <span class="p">[</span>
+                <span class="s2">"default_label"</span><span class="p">,</span>
+                <span class="s2">"activation"</span><span class="p">,</span>
+                <span class="s2">"recurrent_activation"</span><span class="p">,</span>
+            <span class="p">]:</span>  <span class="c1"># additional check for activation and recurrent_activation</span>
+                <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">parameters</span><span class="p">[</span><span class="n">param</span><span class="p">],</span> <span class="nb">str</span><span class="p">):</span>
+                    <span class="n">error</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">param</span><span class="p">)</span> <span class="o">+</span> <span class="s2">" must be a string."</span>
+                    <span class="n">errors</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">error</span><span class="p">)</span>
+
+        <span class="c1"># Error if there are extra parameters thrown in</span>
+        <span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">parameters</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">param</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">list_of_necessary_params</span><span class="p">:</span>
+                <span class="n">errors</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">param</span> <span class="o">+</span> <span class="s2">" is not an accepted parameter."</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">errors</span><span class="p">:</span>
+            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">errors</span><span class="p">))</span>
+
+    <span class="k">def</span> <span class="nf">_construct_model</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Model constructor for the data labeler. This also serves as a weight</span>
+<span class="sd">        reset.</span>
+
+<span class="sd">        :return: None</span>
+<span class="sd">        """</span>
+        <span class="n">num_labels</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">num_labels</span>
+        <span class="n">default_ind</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">label_mapping</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"default_label"</span><span class="p">]]</span>
+
+        <span class="c1"># Reset model</span>
+        <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">backend</span><span class="o">.</span><span class="n">clear_session</span><span class="p">()</span>
+
+        <span class="c1"># generate glove embedding</span>
+        <span class="n">create_glove_char</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"dim_embed"</span><span class="p">])</span>
+
+        <span class="c1"># generate model</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">models</span><span class="o">.</span><span class="n">Sequential</span><span class="p">()</span>
+
+        <span class="c1"># default parameters</span>
+        <span class="n">max_length</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"max_length"</span><span class="p">]</span>
+        <span class="n">max_char_encoding_id</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"max_char_encoding_id"</span><span class="p">]</span>
+
+        <span class="c1"># Encoding layer</span>
+        <span class="k">def</span> <span class="nf">encoding_function</span><span class="p">(</span><span class="n">input_str</span><span class="p">):</span>
+            <span class="n">char_in_vector</span> <span class="o">=</span> <span class="n">CharacterLevelLstmModel</span><span class="o">.</span><span class="n">_char_encoding_layer</span><span class="p">(</span>
+                <span class="n">input_str</span><span class="p">,</span> <span class="n">max_char_encoding_id</span><span class="p">,</span> <span class="n">max_length</span>
+            <span class="p">)</span>
+            <span class="k">return</span> <span class="n">char_in_vector</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Input</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="kc">None</span><span class="p">,),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">string</span><span class="p">))</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span>
+            <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Lambda</span><span class="p">(</span><span class="n">encoding_function</span><span class="p">,</span> <span class="n">output_shape</span><span class="o">=</span><span class="nb">tuple</span><span class="p">([</span><span class="n">max_length</span><span class="p">]))</span>
+        <span class="p">)</span>
+
+        <span class="c1"># Create a pre-trained weight matrix</span>
+        <span class="c1"># character encoding indices range from 0 to max_char_encoding_id,</span>
+        <span class="c1"># we add one extra index for out-of-vocabulary character</span>
+        <span class="n">embed_file</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+            <span class="s2">"../dataprofiler/labelers"</span><span class="p">,</span>
+            <span class="s2">"embeddings/glove-reduced-</span><span class="si">{}</span><span class="s2">D.txt"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"dim_embed"</span><span class="p">]),</span>
+        <span class="p">)</span>
+        <span class="n">embedding_matrix</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span>
+            <span class="p">(</span><span class="n">max_char_encoding_id</span> <span class="o">+</span> <span class="mi">2</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"dim_embed"</span><span class="p">])</span>
+        <span class="p">)</span>
+        <span class="n">embedding_dict</span> <span class="o">=</span> <span class="n">build_embd_dictionary</span><span class="p">(</span><span class="n">embed_file</span><span class="p">)</span>
+
+        <span class="n">input_shape</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">([</span><span class="n">max_length</span><span class="p">])</span>
+        <span class="c1"># Fill in the weight matrix: let pad and space be 0s</span>
+        <span class="k">for</span> <span class="n">ascii_num</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">max_char_encoding_id</span><span class="p">):</span>
+            <span class="k">if</span> <span class="nb">chr</span><span class="p">(</span><span class="n">ascii_num</span><span class="p">)</span> <span class="ow">in</span> <span class="n">embedding_dict</span><span class="p">:</span>
+                <span class="n">embedding_matrix</span><span class="p">[</span><span class="n">ascii_num</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">embedding_dict</span><span class="p">[</span><span class="nb">chr</span><span class="p">(</span><span class="n">ascii_num</span><span class="p">)]</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span>
+            <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Embedding</span><span class="p">(</span>
+                <span class="n">max_char_encoding_id</span> <span class="o">+</span> <span class="mi">2</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"dim_embed"</span><span class="p">],</span>
+                <span class="n">weights</span><span class="o">=</span><span class="p">[</span><span class="n">embedding_matrix</span><span class="p">],</span>
+                <span class="n">input_length</span><span class="o">=</span><span class="n">input_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+                <span class="n">trainable</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="c1"># Add the lstm layers</span>
+        <span class="c1">#########################################################</span>
+        <span class="c1">#########################################################</span>
+        <span class="k">for</span> <span class="n">size</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"size_lstm"</span><span class="p">]:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span>
+                <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">LSTM</span><span class="p">(</span>
+                    <span class="n">units</span><span class="o">=</span><span class="n">size</span><span class="p">,</span>
+                    <span class="n">recurrent_dropout</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"rec_dropout"</span><span class="p">],</span>
+                    <span class="n">activation</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"activation"</span><span class="p">],</span>
+                    <span class="n">recurrent_activation</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"recurrent_activation"</span><span class="p">],</span>
+                    <span class="n">return_sequences</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"dropout"</span><span class="p">]:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"dropout"</span><span class="p">]))</span>
+        <span class="c1">#########################################################</span>
+        <span class="c1">#########################################################</span>
+
+        <span class="c1"># Add the fully connected layers</span>
+        <span class="k">for</span> <span class="n">size</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"size_fc"</span><span class="p">]:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="n">units</span><span class="o">=</span><span class="n">size</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s2">"relu"</span><span class="p">))</span>
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"dropout"</span><span class="p">]:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s2">"dropout"</span><span class="p">]))</span>
+
+        <span class="c1"># Add the final Softmax layer</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="n">num_labels</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s2">"softmax"</span><span class="p">))</span>
+
+        <span class="c1"># Output the model into a .pb file for TensorFlow</span>
+        <span class="n">argmax_layer</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">backend</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="o">.</span><span class="n">output</span><span class="p">)</span>
+
+        <span class="c1"># Create confidence layers</span>
+        <span class="n">final_predicted_layer</span> <span class="o">=</span> <span class="n">CharacterLevelLstmModel</span><span class="o">.</span><span class="n">_argmax_threshold_layer</span><span class="p">(</span>
+            <span class="n">num_labels</span><span class="p">,</span> <span class="n">threshold</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span> <span class="n">default_ind</span><span class="o">=</span><span class="n">default_ind</span>
+        <span class="p">)</span>
+
+        <span class="n">argmax_outputs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="o">.</span><span class="n">outputs</span> <span class="o">+</span> <span class="p">[</span>
+            <span class="n">argmax_layer</span><span class="p">,</span>
+            <span class="n">final_predicted_layer</span><span class="p">(</span><span class="n">argmax_layer</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="o">.</span><span class="n">output</span><span class="p">),</span>
+        <span class="p">]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="o">.</span><span class="n">inputs</span><span class="p">,</span> <span class="n">argmax_outputs</span><span class="p">)</span>
+
+        <span class="c1"># Compile the model</span>
+        <span class="n">softmax_output_layer_name</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="o">.</span><span class="n">outputs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">name</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"/"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+        <span class="n">losses</span> <span class="o">=</span> <span class="p">{</span><span class="n">softmax_output_layer_name</span><span class="p">:</span> <span class="s2">"categorical_crossentropy"</span><span class="p">}</span>
+
+        <span class="c1"># use f1 score metric</span>
+        <span class="n">f1_score_training</span> <span class="o">=</span> <span class="n">F1Score</span><span class="p">(</span><span class="n">num_classes</span><span class="o">=</span><span class="n">num_labels</span><span class="p">,</span> <span class="n">average</span><span class="o">=</span><span class="s2">"micro"</span><span class="p">)</span>
+        <span class="n">metrics</span> <span class="o">=</span> <span class="p">{</span><span class="n">softmax_output_layer_name</span><span class="p">:</span> <span class="p">[</span><span class="s2">"acc"</span><span class="p">,</span> <span class="n">f1_score_training</span><span class="p">]}</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="o">.</span><span class="n">compile</span><span class="p">(</span><span class="n">loss</span><span class="o">=</span><span class="n">losses</span><span class="p">,</span> <span class="n">optimizer</span><span class="o">=</span><span class="s2">"adam"</span><span class="p">,</span> <span class="n">metrics</span><span class="o">=</span><span class="n">metrics</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_epoch_id</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model_num_labels</span> <span class="o">=</span> <span class="n">num_labels</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model_default_ind</span> <span class="o">=</span> <span class="n">default_ind</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Integrate-the-new-LSTM-model-to-the-DataLabeler">
+<h2>Integrate the new LSTM model to the DataLabeler<a class="headerlink" href="#Integrate-the-new-LSTM-model-to-the-DataLabeler" title="Permalink to this headline">¶</a></h2>
+<p>Once the LSTM model is built, it replaces the existing model in the DataLabeler pipeline, which is then trained on the given dataset. Note that, as the DataLabeler is trained on the above tabular dataset, its label mapping is updated by the list of column names in that dataset while training.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># get labels from the given dataset</span>
+<span class="n">value_label_df</span> <span class="o">=</span> <span class="n">data_train</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span><span class="o">.</span><span class="n">melt</span><span class="p">()</span>
+<span class="n">value_label_df</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>  <span class="c1"># labels=1, values=0 in that order</span>
+<span class="n">value_label_df</span> <span class="o">=</span> <span class="n">value_label_df</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+<span class="n">labels</span> <span class="o">=</span> <span class="n">value_label_df</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">unique</span><span class="p">()</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+
+<span class="c1"># create a new LSTM model</span>
+<span class="c1"># set default label (one of the column names) to the model</span>
+<span class="n">model</span> <span class="o">=</span> <span class="n">CharacterLevelLstmModel</span><span class="p">(</span><span class="n">label_mapping</span><span class="o">=</span><span class="n">labels</span><span class="p">,</span> <span class="n">parameters</span><span class="o">=</span><span class="p">{</span><span class="s1">'default_label'</span><span class="p">:</span> <span class="s1">'comment'</span><span class="p">})</span>
+
+<span class="c1"># add the new LSTM model to the data labeler</span>
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">,</span> <span class="n">trainable</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">set_model</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
+
+<span class="c1"># set default label (one of the column names) to the preprocessor and postprocessor</span>
+<span class="n">processor_params</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'default_label'</span><span class="p">:</span> <span class="s1">'comment'</span><span class="p">}</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">_preprocessor</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span><span class="o">**</span><span class="n">processor_params</span><span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">_postprocessor</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span><span class="o">**</span><span class="n">processor_params</span><span class="p">)</span>
+
+<span class="c1"># train the data labeler</span>
+<span class="n">save_dirpath</span><span class="o">=</span><span class="s2">"data_labeler_saved"</span>
+<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">save_dirpath</span><span class="p">):</span>
+    <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">save_dirpath</span><span class="p">)</span>
+
+<span class="n">epochs</span><span class="o">=</span><span class="mi">2</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span>
+    <span class="n">x</span><span class="o">=</span><span class="n">value_label_df</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">y</span><span class="o">=</span><span class="n">value_label_df</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">labels</span><span class="o">=</span><span class="n">labels</span><span class="p">,</span> <span class="n">epochs</span><span class="o">=</span><span class="n">epochs</span><span class="p">)</span>
+<span class="k">if</span> <span class="n">save_dirpath</span><span class="p">:</span>
+    <span class="n">data_labeler</span><span class="o">.</span><span class="n">save_to_disk</span><span class="p">(</span><span class="n">save_dirpath</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<p>The trained Data Labeler is then used by the Data Profiler to provide the prediction on the new dataset. In this example, all options except data labeler are disabled for the sake of presenting data labeler functionality. The results are given in the columnar format where true column types are given in the first column, and the predicted column labels are given in the second column.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># predict with the data labeler object</span>
+<span class="n">profile_options</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">ProfilerOptions</span><span class="p">()</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s2">"structured_options.text.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                     <span class="s2">"int.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                     <span class="s2">"float.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                     <span class="s2">"order.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                     <span class="s2">"category.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                     <span class="s2">"datetime.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,})</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s1">'structured_options.data_labeler.data_labeler_object'</span><span class="p">:</span> <span class="n">data_labeler</span><span class="p">})</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data_test</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">profile_options</span><span class="p">)</span>
+
+<span class="c1"># get the prediction from the data profiler</span>
+<span class="k">def</span> <span class="nf">get_structured_results</span><span class="p">(</span><span class="n">results</span><span class="p">):</span>
+    <span class="n">columns</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">predictions</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">col_report</span> <span class="ow">in</span> <span class="n">results</span><span class="p">[</span><span class="s1">'data_stats'</span><span class="p">]:</span>
+        <span class="n">columns</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">col_report</span><span class="p">[</span><span class="s1">'column_name'</span><span class="p">])</span>
+        <span class="n">predictions</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">col_report</span><span class="p">[</span><span class="s1">'data_label'</span><span class="p">])</span>
+
+    <span class="n">df_results</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s1">'Column'</span><span class="p">:</span> <span class="n">columns</span><span class="p">,</span> <span class="s1">'Prediction'</span><span class="p">:</span> <span class="n">predictions</span><span class="p">})</span>
+    <span class="k">return</span> <span class="n">df_results</span>
+
+<span class="n">results</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">get_structured_results</span><span class="p">(</span><span class="n">results</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<p>In summary, users can define their own model, plug it in the DataLabeler pipeline, and train the labeler with the new dataset. Above, we show one example of adding the LSTM model to the pipeline. Interested users can implement other neural network models as desired with the same process.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="regex_labeler_from_scratch.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Building a Regex Data Labeler w/ your own Regex</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="labeler.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Sensitive Data Detection with the Labeler</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/add_new_model_to_data_labeler.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Adding new model to the existing DataLabeler pipeline</a><ul>
+<li><a class="reference internal" href="#Dataset">Dataset</a></li>
+<li><a class="reference internal" href="#Implement-a-new-character-level-LSTM-model">Implement a new character-level LSTM model</a></li>
+<li><a class="reference internal" href="#Integrate-the-new-LSTM-model-to-the-DataLabeler">Integrate the new LSTM model to the DataLabeler</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/add_new_model_to_data_labeler.ipynb b/docs/0.10.5/html/add_new_model_to_data_labeler.ipynb
new file mode 100644
index 000000000..1495e6a85
--- /dev/null
+++ b/docs/0.10.5/html/add_new_model_to_data_labeler.ipynb
@@ -0,0 +1,488 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "228bb2a6",
+   "metadata": {},
+   "source": [
+    "# Adding new model to the existing DataLabeler pipeline"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "cab7a569",
+   "metadata": {},
+   "source": [
+    "Consider the case when we would like to explore different character-level neural network models and evaluate their performance on different datasets. The existing DataLabeler in the DataProfiler library already contains a preprocessor, a postprocessor, and a character-level CNN (Convolutional Neural Network) model that are combined to work on such data. All we need is to build additional model classes that inherit the main functionalities from the CNN model and also adapt the model construction to the desired architectures. In this example, we define such a new model to be used with the Data Labeler component of the Data Profiler. In particular, a character-level LSTM (Long Short-Term Memory) model is implemented, then integrated into the DataLabeler pipeline to be trained with a tabular dataset. The process includes the following steps:\n",
+    "\n",
+    "    - Build a new character-level LSTM model that inherits the CNN model\n",
+    "    - Load the DataLabeler from the DataProfiler\n",
+    "    - Swap the existing CNN model with the new LSTM model\n",
+    "    - Train the data labeler pipeline on a given dataset\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16624c48",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "sys.path.insert(0, '..')\n",
+    "import dataprofiler as dp"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "e90728ab",
+   "metadata": {},
+   "source": [
+    "## Dataset"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "3d61981c",
+   "metadata": {},
+   "source": [
+    "In this example, we use a structured dataset, the aws honeypot dataset, given in the test folder of the library. This dataset is first read by the Data Reader class of the Data Profiler, then split into training and test data to be used in the next sections."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f031fe06",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data\n",
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\")\n",
+    "df_data = data.data\n",
+    "\n",
+    "# split data to training and test set\n",
+    "split_ratio = 0.2\n",
+    "df_data = df_data.sample(frac=1).reset_index(drop=True)\n",
+    "data_train = df_data[:int((1 - split_ratio) * len(df_data))]\n",
+    "data_test = df_data[int((1 - split_ratio) * len(df_data)):]\n",
+    "\n",
+    "df_data.head()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "745ed0d4",
+   "metadata": {},
+   "source": [
+    "## Implement a new character-level LSTM model"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "7375b0c0",
+   "metadata": {},
+   "source": [
+    "This new model is inherited from `CharacterLevelCnnModel` class, with some modifications on the following functions\n",
+    "\n",
+    "`__init__`: to add new parameters for the LSTM model. The new parameters, `size_lstm`, `rec_dropout`, `activation`, `recurrent_activation`, specify number of LSTM layers, activation function, and recurrent dropout ratio.\n",
+    "\n",
+    "`_validate_parameters`: to add additional checks on the new parameters for the LSTM model\n",
+    "\n",
+    "`_construct_model`: to construct the new LSTM model with the desired architecture"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8568fb49",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tensorflow as tf\n",
+    "import numpy as np\n",
+    "from dataprofiler.labelers.character_level_cnn_model import (\n",
+    "    CharacterLevelCnnModel,\n",
+    "    create_glove_char,\n",
+    "    build_embd_dictionary,\n",
+    ")\n",
+    "from dataprofiler.labelers.base_model import BaseModel\n",
+    "from dataprofiler.labelers.labeler_utils import F1Score\n",
+    "\n",
+    "\n",
+    "# CharacterLevelLstmModel derives from CharacterLevelCnnModel\n",
+    "#########################################################\n",
+    "#########################################################\n",
+    "class CharacterLevelLstmModel(CharacterLevelCnnModel):\n",
+    "    # boolean if the label mapping requires the mapping for index 0 reserved\n",
+    "    requires_zero_mapping = True\n",
+    "\n",
+    "    def __init__(self, label_mapping=None, parameters=None):\n",
+    "        \"\"\"\n",
+    "        LSTM Model Initializer\n",
+    "        \"\"\"\n",
+    "\n",
+    "        # parameter initialization\n",
+    "        if not parameters:\n",
+    "            parameters = {}\n",
+    "        parameters.setdefault(\"max_length\", 3400)\n",
+    "        parameters.setdefault(\"max_char_encoding_id\", 127)\n",
+    "        parameters.setdefault(\"dim_embed\", 64)\n",
+    "        parameters.setdefault(\"size_fc\", [32, 32])\n",
+    "        parameters.setdefault(\"dropout\", 0.1)\n",
+    "        # new parameters for LSTM model\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "        parameters.setdefault(\"size_lstm\", [64])\n",
+    "        parameters.setdefault(\"rec_dropout\", 0.1)\n",
+    "        parameters.setdefault(\"activation\", \"tanh\")\n",
+    "        parameters.setdefault(\"recurrent_activation\", \"sigmoid\")\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "        parameters.setdefault(\"default_label\", \"UNKNOWN\")\n",
+    "        parameters[\"pad_label\"] = \"PAD\"\n",
+    "        self._epoch_id = 0\n",
+    "\n",
+    "        # reconstruct flags for model\n",
+    "        self._model_num_labels = 0\n",
+    "        self._model_default_ind = -1\n",
+    "\n",
+    "        BaseModel.__init__(self, label_mapping, parameters)\n",
+    "\n",
+    "    def _validate_parameters(self, parameters):\n",
+    "        \"\"\"\n",
+    "        Validate the parameters sent in. Raise error if invalid parameters are\n",
+    "        present.\n",
+    "        \"\"\"\n",
+    "        errors = []\n",
+    "        list_of_necessary_params = [\n",
+    "            \"max_length\",\n",
+    "            \"max_char_encoding_id\",\n",
+    "            \"dim_embed\",\n",
+    "            \"size_fc\",\n",
+    "            \"dropout\",\n",
+    "            \"size_lstm\",\n",
+    "            \"rec_dropout\",\n",
+    "            \"activation\",\n",
+    "            \"recurrent_activation\",\n",
+    "            \"default_label\",\n",
+    "            \"pad_label\",\n",
+    "        ]\n",
+    "        # Make sure the necessary parameters are present and valid.\n",
+    "        for param in parameters:\n",
+    "            if param in [\n",
+    "                \"max_length\",\n",
+    "                \"max_char_encoding_id\",\n",
+    "                \"dim_embed\",\n",
+    "                \"size_conv\",\n",
+    "            ]:\n",
+    "                if (\n",
+    "                    not isinstance(parameters[param], (int, float))\n",
+    "                    or parameters[param] < 0\n",
+    "                ):\n",
+    "                    errors.append(\n",
+    "                        param + \" must be a valid integer or float \" \"greater than 0.\"\n",
+    "                    )\n",
+    "            elif param in [\n",
+    "                \"dropout\",\n",
+    "                \"rec_dropout\",\n",
+    "            ]:  # additional check for rec_dropout\n",
+    "                if (\n",
+    "                    not isinstance(parameters[param], (int, float))\n",
+    "                    or parameters[param] < 0\n",
+    "                    or parameters[param] > 1\n",
+    "                ):\n",
+    "                    errors.append(\n",
+    "                        param + \" must be a valid integer or float \" \"from 0 to 1.\"\n",
+    "                    )\n",
+    "            elif (\n",
+    "                param == \"size_fc\" or param == \"size_lstm\"\n",
+    "            ):  # additional check for size_lstm\n",
+    "                if (\n",
+    "                    not isinstance(parameters[param], list)\n",
+    "                    or len(parameters[param]) == 0\n",
+    "                ):\n",
+    "                    errors.append(param + \" must be a non-empty list of \" \"integers.\")\n",
+    "                else:\n",
+    "                    for item in parameters[param]:\n",
+    "                        if not isinstance(item, int):\n",
+    "                            errors.append(\n",
+    "                                param + \" must be a non-empty \" \"list of integers.\"\n",
+    "                            )\n",
+    "                            break\n",
+    "            elif param in [\n",
+    "                \"default_label\",\n",
+    "                \"activation\",\n",
+    "                \"recurrent_activation\",\n",
+    "            ]:  # additional check for activation and recurrent_activation\n",
+    "                if not isinstance(parameters[param], str):\n",
+    "                    error = str(param) + \" must be a string.\"\n",
+    "                    errors.append(error)\n",
+    "\n",
+    "        # Error if there are extra parameters thrown in\n",
+    "        for param in parameters:\n",
+    "            if param not in list_of_necessary_params:\n",
+    "                errors.append(param + \" is not an accepted parameter.\")\n",
+    "        if errors:\n",
+    "            raise ValueError(\"\\n\".join(errors))\n",
+    "\n",
+    "    def _construct_model(self):\n",
+    "        \"\"\"\n",
+    "        Model constructor for the data labeler. This also serves as a weight\n",
+    "        reset.\n",
+    "\n",
+    "        :return: None\n",
+    "        \"\"\"\n",
+    "        num_labels = self.num_labels\n",
+    "        default_ind = self.label_mapping[self._parameters[\"default_label\"]]\n",
+    "\n",
+    "        # Reset model\n",
+    "        tf.keras.backend.clear_session()\n",
+    "\n",
+    "        # generate glove embedding\n",
+    "        create_glove_char(self._parameters[\"dim_embed\"])\n",
+    "\n",
+    "        # generate model\n",
+    "        self._model = tf.keras.models.Sequential()\n",
+    "\n",
+    "        # default parameters\n",
+    "        max_length = self._parameters[\"max_length\"]\n",
+    "        max_char_encoding_id = self._parameters[\"max_char_encoding_id\"]\n",
+    "\n",
+    "        # Encoding layer\n",
+    "        def encoding_function(input_str):\n",
+    "            char_in_vector = CharacterLevelLstmModel._char_encoding_layer(\n",
+    "                input_str, max_char_encoding_id, max_length\n",
+    "            )\n",
+    "            return char_in_vector\n",
+    "\n",
+    "        self._model.add(tf.keras.layers.Input(shape=(None,), dtype=tf.string))\n",
+    "\n",
+    "        self._model.add(\n",
+    "            tf.keras.layers.Lambda(encoding_function, output_shape=tuple([max_length]))\n",
+    "        )\n",
+    "\n",
+    "        # Create a pre-trained weight matrix\n",
+    "        # character encoding indices range from 0 to max_char_encoding_id,\n",
+    "        # we add one extra index for out-of-vocabulary character\n",
+    "        embed_file = os.path.join(\n",
+    "            \"../dataprofiler/labelers\",\n",
+    "            \"embeddings/glove-reduced-{}D.txt\".format(self._parameters[\"dim_embed\"]),\n",
+    "        )\n",
+    "        embedding_matrix = np.zeros(\n",
+    "            (max_char_encoding_id + 2, self._parameters[\"dim_embed\"])\n",
+    "        )\n",
+    "        embedding_dict = build_embd_dictionary(embed_file)\n",
+    "\n",
+    "        input_shape = tuple([max_length])\n",
+    "        # Fill in the weight matrix: let pad and space be 0s\n",
+    "        for ascii_num in range(max_char_encoding_id):\n",
+    "            if chr(ascii_num) in embedding_dict:\n",
+    "                embedding_matrix[ascii_num + 1] = embedding_dict[chr(ascii_num)]\n",
+    "\n",
+    "        self._model.add(\n",
+    "            tf.keras.layers.Embedding(\n",
+    "                max_char_encoding_id + 2,\n",
+    "                self._parameters[\"dim_embed\"],\n",
+    "                weights=[embedding_matrix],\n",
+    "                input_length=input_shape[0],\n",
+    "                trainable=True,\n",
+    "            )\n",
+    "        )\n",
+    "\n",
+    "        # Add the lstm layers\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "        for size in self._parameters[\"size_lstm\"]:\n",
+    "            self._model.add(\n",
+    "                tf.keras.layers.LSTM(\n",
+    "                    units=size,\n",
+    "                    recurrent_dropout=self._parameters[\"rec_dropout\"],\n",
+    "                    activation=self._parameters[\"activation\"],\n",
+    "                    recurrent_activation=self._parameters[\"recurrent_activation\"],\n",
+    "                    return_sequences=True,\n",
+    "                )\n",
+    "            )\n",
+    "            if self._parameters[\"dropout\"]:\n",
+    "                self._model.add(tf.keras.layers.Dropout(self._parameters[\"dropout\"]))\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "\n",
+    "        # Add the fully connected layers\n",
+    "        for size in self._parameters[\"size_fc\"]:\n",
+    "            self._model.add(tf.keras.layers.Dense(units=size, activation=\"relu\"))\n",
+    "            if self._parameters[\"dropout\"]:\n",
+    "                self._model.add(tf.keras.layers.Dropout(self._parameters[\"dropout\"]))\n",
+    "\n",
+    "        # Add the final Softmax layer\n",
+    "        self._model.add(tf.keras.layers.Dense(num_labels, activation=\"softmax\"))\n",
+    "\n",
+    "        # Output the model into a .pb file for TensorFlow\n",
+    "        argmax_layer = tf.keras.backend.argmax(self._model.output)\n",
+    "\n",
+    "        # Create confidence layers\n",
+    "        final_predicted_layer = CharacterLevelLstmModel._argmax_threshold_layer(\n",
+    "            num_labels, threshold=0.0, default_ind=default_ind\n",
+    "        )\n",
+    "\n",
+    "        argmax_outputs = self._model.outputs + [\n",
+    "            argmax_layer,\n",
+    "            final_predicted_layer(argmax_layer, self._model.output),\n",
+    "        ]\n",
+    "        self._model = tf.keras.Model(self._model.inputs, argmax_outputs)\n",
+    "\n",
+    "        # Compile the model\n",
+    "        softmax_output_layer_name = self._model.outputs[0].name.split(\"/\")[0]\n",
+    "        losses = {softmax_output_layer_name: \"categorical_crossentropy\"}\n",
+    "\n",
+    "        # use f1 score metric\n",
+    "        f1_score_training = F1Score(num_classes=num_labels, average=\"micro\")\n",
+    "        metrics = {softmax_output_layer_name: [\"acc\", f1_score_training]}\n",
+    "\n",
+    "        self._model.compile(loss=losses, optimizer=\"adam\", metrics=metrics)\n",
+    "\n",
+    "        self._epoch_id = 0\n",
+    "        self._model_num_labels = num_labels\n",
+    "        self._model_default_ind = default_ind"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "d66bd25c",
+   "metadata": {},
+   "source": [
+    "## Integrate the new LSTM model to the DataLabeler"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "479f407a",
+   "metadata": {},
+   "source": [
+    "Once the LSTM model is built, it replaces the existing model in the DataLabeler pipeline, which is then trained on the given dataset. Note that, as the DataLabeler is trained on the above tabular dataset, its label mapping is updated by the list of column names in that dataset while training."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fb482ffe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# get labels from the given dataset\n",
+    "value_label_df = data_train.reset_index(drop=True).melt()\n",
+    "value_label_df.columns = [1, 0]  # labels=1, values=0 in that order\n",
+    "value_label_df = value_label_df.astype(str)\n",
+    "labels = value_label_df[1].unique().tolist()\n",
+    "\n",
+    "# create a new LSTM model\n",
+    "# set default label (one of the column names) to the model\n",
+    "model = CharacterLevelLstmModel(label_mapping=labels, parameters={'default_label': 'comment'})\n",
+    "\n",
+    "# add the new LSTM model to the data labeler\n",
+    "data_labeler = dp.DataLabeler(labeler_type='structured', trainable=True)\n",
+    "data_labeler.set_model(model)\n",
+    "\n",
+    "# set default label (one of the column names) to the preprocessor and postprocessor\n",
+    "processor_params = {'default_label': 'comment'}\n",
+    "data_labeler._preprocessor.set_params(**processor_params)\n",
+    "data_labeler._postprocessor.set_params(**processor_params)\n",
+    "\n",
+    "# train the data labeler\n",
+    "save_dirpath=\"data_labeler_saved\"\n",
+    "if not os.path.exists(save_dirpath):\n",
+    "    os.makedirs(save_dirpath)\n",
+    "\n",
+    "epochs=2\n",
+    "data_labeler.fit(\n",
+    "    x=value_label_df[0], y=value_label_df[1], labels=labels, epochs=epochs)\n",
+    "if save_dirpath:\n",
+    "    data_labeler.save_to_disk(save_dirpath)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "14b78c69",
+   "metadata": {},
+   "source": [
+    "The trained Data Labeler is then used by the Data Profiler to provide the prediction on the new dataset. In this example, all options except data labeler are disabled for the sake of presenting data labeler functionality. The results are given in the columnar format where true column types are given in the first column, and the predicted column labels are given in the second column."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bdfcf1d2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predict with the data labeler object\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({\"structured_options.text.is_enabled\": False, \n",
+    "                     \"int.is_enabled\": False, \n",
+    "                     \"float.is_enabled\": False, \n",
+    "                     \"order.is_enabled\": False, \n",
+    "                     \"category.is_enabled\": False, \n",
+    "                     \"datetime.is_enabled\": False,})\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_object': data_labeler})\n",
+    "profile = dp.Profiler(data_test, options=profile_options)\n",
+    "\n",
+    "# get the prediction from the data profiler\n",
+    "def get_structured_results(results):\n",
+    "    columns = []\n",
+    "    predictions = []\n",
+    "    for col_report in results['data_stats']:\n",
+    "        columns.append(col_report['column_name'])\n",
+    "        predictions.append(col_report['data_label'])\n",
+    "\n",
+    "    df_results = pd.DataFrame({'Column': columns, 'Prediction': predictions})\n",
+    "    return df_results\n",
+    "\n",
+    "results = profile.report()\n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "cc60ff8a",
+   "metadata": {},
+   "source": [
+    "In summary, users can define their own model, plug it in the DataLabeler pipeline, and train the labeler with the new dataset. Above, we show one example of adding the LSTM model to the pipeline. Interested users can implement other neural network models as desired with the same process."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/html/column_name_labeler_example.html b/docs/0.10.5/html/column_name_labeler_example.html
new file mode 100644
index 000000000..0c23d63c1
--- /dev/null
+++ b/docs/0.10.5/html/column_name_labeler_example.html
@@ -0,0 +1,821 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Merge List of Profiles" href="merge_profile_list.html" /><link rel="prev" title="Building a Regex Data Labeler w/ your own Regex" href="regex_labeler_from_scratch.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>ColumnName Labeler Tutorial - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/column_name_labeler_example.nblink">View this notebook on GitHub</a></p>
+<section id="ColumnName-Labeler-Tutorial">
+<h1>ColumnName Labeler Tutorial<a class="headerlink" href="#ColumnName-Labeler-Tutorial" title="Permalink to this headline">¶</a></h1>
+<p>This notebook teaches how to use the existing <code class="docutils literal notranslate"><span class="pre">ColumnNameModel</span></code>:</p>
+<ol class="arabic simple">
+<li><p>Loading and utilizing the pre-existing <code class="docutils literal notranslate"><span class="pre">ColumnNameModel</span></code></p></li>
+<li><p>Run the labeler</p></li>
+</ol>
+<p>First, let’s import the libraries needed for this example.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">pprint</span> <span class="kn">import</span> <span class="n">pprint</span>
+
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+
+<span class="k">try</span><span class="p">:</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
+    <span class="n">sys</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="s1">'../..'</span><span class="p">)</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+</pre></div>
+</div>
+</div>
+<section id="Loading-and-predicting-using-a-pre-existing-model-using-load_from_library">
+<h2>Loading and predicting using a pre-existing model using <code class="docutils literal notranslate"><span class="pre">load_from_library</span></code><a class="headerlink" href="#Loading-and-predicting-using-a-pre-existing-model-using-load_from_library" title="Permalink to this headline">¶</a></h2>
+<p>The easiest option for users is to <code class="docutils literal notranslate"><span class="pre">load_from_library</span></code> by specifying the name for the labeler in the <code class="docutils literal notranslate"><span class="pre">resources/</span></code> folder. Quickly import and start predicting with any model from the Data Profiler’s library of models available.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">labeler_from_library</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="o">.</span><span class="n">load_from_library</span><span class="p">(</span><span class="s1">'column_name_labeler'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">labeler_from_library</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="p">[</span><span class="s2">"ssn"</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Loading-and-using-the-pre-existing-column-name-labeler-using-load_with_components">
+<h2>Loading and using the pre-existing column name labeler using <code class="docutils literal notranslate"><span class="pre">load_with_components</span></code><a class="headerlink" href="#Loading-and-using-the-pre-existing-column-name-labeler-using-load_with_components" title="Permalink to this headline">¶</a></h2>
+<p>For example purposes here, we will import the exsting <code class="docutils literal notranslate"><span class="pre">ColumnName</span></code> labeler via the <code class="docutils literal notranslate"><span class="pre">load_with_components</span></code> command from the <code class="docutils literal notranslate"><span class="pre">dp.DataLabeler</span></code>. This shows a bit more of the details of the data labeler’s flow.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">parameters</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s2">"true_positive_dict"</span><span class="p">:</span> <span class="p">[</span>
+                <span class="p">{</span><span class="s2">"attribute"</span><span class="p">:</span> <span class="s2">"ssn"</span><span class="p">,</span> <span class="s2">"label"</span><span class="p">:</span> <span class="s2">"ssn"</span><span class="p">},</span>
+                <span class="p">{</span><span class="s2">"attribute"</span><span class="p">:</span> <span class="s2">"suffix"</span><span class="p">,</span> <span class="s2">"label"</span><span class="p">:</span> <span class="s2">"name"</span><span class="p">},</span>
+                <span class="p">{</span><span class="s2">"attribute"</span><span class="p">:</span> <span class="s2">"my_home_address"</span><span class="p">,</span> <span class="s2">"label"</span><span class="p">:</span> <span class="s2">"address"</span><span class="p">},</span>
+            <span class="p">],</span>
+            <span class="s2">"false_positive_dict"</span><span class="p">:</span> <span class="p">[</span>
+                <span class="p">{</span>
+                    <span class="s2">"attribute"</span><span class="p">:</span> <span class="s2">"contract_number"</span><span class="p">,</span>
+                    <span class="s2">"label"</span><span class="p">:</span> <span class="s2">"ssn"</span><span class="p">,</span>
+                <span class="p">},</span>
+                <span class="p">{</span>
+                    <span class="s2">"attribute"</span><span class="p">:</span> <span class="s2">"role"</span><span class="p">,</span>
+                    <span class="s2">"label"</span><span class="p">:</span> <span class="s2">"name"</span><span class="p">,</span>
+                <span class="p">},</span>
+                <span class="p">{</span>
+                    <span class="s2">"attribute"</span><span class="p">:</span> <span class="s2">"send_address"</span><span class="p">,</span>
+                    <span class="s2">"label"</span><span class="p">:</span> <span class="s2">"address"</span><span class="p">,</span>
+                <span class="p">},</span>
+            <span class="p">],</span>
+            <span class="s2">"negative_threshold_config"</span><span class="p">:</span> <span class="mi">50</span><span class="p">,</span>
+            <span class="s2">"positive_threshold_config"</span><span class="p">:</span> <span class="mi">85</span><span class="p">,</span>
+            <span class="s2">"include_label"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+        <span class="p">}</span>
+
+<span class="n">label_mapping</span> <span class="o">=</span> <span class="p">{</span><span class="s2">"ssn"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s2">"name"</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s2">"address"</span><span class="p">:</span> <span class="mi">3</span><span class="p">}</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># pre processor</span>
+<span class="n">preprocessor</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">labelers</span><span class="o">.</span><span class="n">data_processing</span><span class="o">.</span><span class="n">DirectPassPreprocessor</span><span class="p">()</span>
+
+<span class="c1"># model</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.labelers.column_name_model</span> <span class="kn">import</span> <span class="n">ColumnNameModel</span>
+<span class="n">model</span> <span class="o">=</span> <span class="n">ColumnNameModel</span><span class="p">(</span>
+    <span class="n">parameters</span><span class="o">=</span><span class="n">parameters</span><span class="p">,</span>
+    <span class="n">label_mapping</span><span class="o">=</span><span class="n">label_mapping</span><span class="p">,</span>
+<span class="p">)</span>
+
+
+<span class="c1"># post processor</span>
+<span class="n">postprocessor</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">labelers</span><span class="o">.</span><span class="n">data_processing</span><span class="o">.</span><span class="n">ColumnNameModelPostprocessor</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="o">.</span><span class="n">load_with_components</span><span class="p">(</span>
+    <span class="n">preprocessor</span><span class="o">=</span><span class="n">preprocessor</span><span class="p">,</span>
+    <span class="n">model</span><span class="o">=</span><span class="n">model</span><span class="p">,</span>
+    <span class="n">postprocessor</span><span class="o">=</span><span class="n">postprocessor</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">help</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">pprint</span><span class="p">(</span><span class="n">data_labeler</span><span class="o">.</span><span class="n">label_mapping</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">pprint</span><span class="p">(</span><span class="n">data_labeler</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">_parameters</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<section id="Predicting-with-the-ColumnName-labeler">
+<h3>Predicting with the ColumnName labeler<a class="headerlink" href="#Predicting-with-the-ColumnName-labeler" title="Permalink to this headline">¶</a></h3>
+<p>In the prediction below, the data will be passed into to stages in the background - 1) <code class="docutils literal notranslate"><span class="pre">compare_negative</span></code>: The idea behind the <code class="docutils literal notranslate"><span class="pre">compare_negative</span></code> is to first filter out any possibility of flagging a false positive in the model prediction. In this step, the confidence value is checked and if the similarity is too close to being a false positive, that particular string in the <code class="docutils literal notranslate"><span class="pre">data</span></code> is removed and not returned to the <code class="docutils literal notranslate"><span class="pre">compare_positive</span></code>. - 2) <code class="docutils literal notranslate"><span class="pre">compare_positive</span></code>: Finally the <code class="docutils literal notranslate"><span class="pre">data</span></code> is
+passed to the <code class="docutils literal notranslate"><span class="pre">compare_positive</span></code> step and checked for similarity with the the <code class="docutils literal notranslate"><span class="pre">true_positive_dict</span></code> values. Again, during this stage the <code class="docutils literal notranslate"><span class="pre">positive_threshold_config</span></code> is used to filter the results to only those <code class="docutils literal notranslate"><span class="pre">data</span></code> values that are greater than or equal to the <code class="docutils literal notranslate"><span class="pre">positive_threshold_config</span></code> provided by the user.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># evaluate a prediction using the default parameters</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="p">[</span><span class="s2">"ssn"</span><span class="p">,</span> <span class="s2">"name"</span><span class="p">,</span> <span class="s2">"address"</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+<section id="Replacing-the-parameters-in-the-existing-labeler">
+<h2>Replacing the parameters in the existing labeler<a class="headerlink" href="#Replacing-the-parameters-in-the-existing-labeler" title="Permalink to this headline">¶</a></h2>
+<p>We can achieve this by: 1. Setting the label mapping to the new labels 2. Setting the model parameters which include: <code class="docutils literal notranslate"><span class="pre">true_positive_dict</span></code>, <code class="docutils literal notranslate"><span class="pre">false_positive_dict</span></code>, <code class="docutils literal notranslate"><span class="pre">negative_threshold_config</span></code>, <code class="docutils literal notranslate"><span class="pre">positive_threshold_config</span></code>, and <code class="docutils literal notranslate"><span class="pre">include_label</span></code></p>
+<p>where <code class="docutils literal notranslate"><span class="pre">true_positive_dict</span></code> and <code class="docutils literal notranslate"><span class="pre">false_positive_dict</span></code> are <code class="docutils literal notranslate"><span class="pre">lists</span></code> of <code class="docutils literal notranslate"><span class="pre">dicts</span></code>, <code class="docutils literal notranslate"><span class="pre">negative_threshold_config</span></code> and <code class="docutils literal notranslate"><span class="pre">positive_threshold_config</span></code> are integer values between <code class="docutils literal notranslate"><span class="pre">0</span></code> and <code class="docutils literal notranslate"><span class="pre">100</span></code>, and <code class="docutils literal notranslate"><span class="pre">include_label</span></code> is a <code class="docutils literal notranslate"><span class="pre">boolean</span></code> value that determines if the output should include the prediction labels or only the confidence values.</p>
+<p>Below, we created 4 labels where <code class="docutils literal notranslate"><span class="pre">other</span></code> is the <code class="docutils literal notranslate"><span class="pre">default_label</span></code>.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data_labeler</span><span class="o">.</span><span class="n">set_labels</span><span class="p">({</span><span class="s1">'other'</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="s2">"funky_one"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s2">"funky_two"</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s2">"funky_three"</span><span class="p">:</span> <span class="mi">3</span><span class="p">})</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span>
+    <span class="n">true_positive_dict</span><span class="o">=</span> <span class="p">[</span>
+                <span class="p">{</span><span class="s2">"attribute"</span><span class="p">:</span> <span class="s2">"ssn"</span><span class="p">,</span> <span class="s2">"label"</span><span class="p">:</span> <span class="s2">"funky_one"</span><span class="p">},</span>
+                <span class="p">{</span><span class="s2">"attribute"</span><span class="p">:</span> <span class="s2">"suffix"</span><span class="p">,</span> <span class="s2">"label"</span><span class="p">:</span> <span class="s2">"funky_two"</span><span class="p">},</span>
+                <span class="p">{</span><span class="s2">"attribute"</span><span class="p">:</span> <span class="s2">"my_home_address"</span><span class="p">,</span> <span class="s2">"label"</span><span class="p">:</span> <span class="s2">"funky_three"</span><span class="p">},</span>
+            <span class="p">],</span>
+    <span class="n">false_positive_dict</span><span class="o">=</span><span class="p">[</span>
+                <span class="p">{</span>
+                    <span class="s2">"attribute"</span><span class="p">:</span> <span class="s2">"contract_number"</span><span class="p">,</span>
+                    <span class="s2">"label"</span><span class="p">:</span> <span class="s2">"ssn"</span><span class="p">,</span>
+                <span class="p">},</span>
+                <span class="p">{</span>
+                    <span class="s2">"attribute"</span><span class="p">:</span> <span class="s2">"role"</span><span class="p">,</span>
+                    <span class="s2">"label"</span><span class="p">:</span> <span class="s2">"name"</span><span class="p">,</span>
+                <span class="p">},</span>
+                <span class="p">{</span>
+                    <span class="s2">"attribute"</span><span class="p">:</span> <span class="s2">"not_my_address"</span><span class="p">,</span>
+                    <span class="s2">"label"</span><span class="p">:</span> <span class="s2">"address"</span><span class="p">,</span>
+                <span class="p">},</span>
+            <span class="p">],</span>
+    <span class="n">negative_threshold_config</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span>
+    <span class="n">positive_threshold_config</span><span class="o">=</span><span class="mi">85</span><span class="p">,</span>
+    <span class="n">include_label</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">label_mapping</span>
+</pre></div>
+</div>
+</div>
+<section id="Predicting-with-the-new-labels">
+<h3>Predicting with the new labels<a class="headerlink" href="#Predicting-with-the-new-labels" title="Permalink to this headline">¶</a></h3>
+<p>Here we are testing the <code class="docutils literal notranslate"><span class="pre">predict()</span></code> method with brand new labels for label_mapping. As we can see the new labels flow throught to the output of the data labeler.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="p">[</span><span class="s2">"ssn"</span><span class="p">,</span> <span class="s2">"suffix"</span><span class="p">],</span> <span class="n">predict_options</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">show_confidences</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+<section id="Saving-the-Data-Labeler-for-future-use">
+<h2>Saving the Data Labeler for future use<a class="headerlink" href="#Saving-the-Data-Labeler-for-future-use" title="Permalink to this headline">¶</a></h2>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isdir</span><span class="p">(</span><span class="s1">'new_column_name_labeler'</span><span class="p">):</span>
+    <span class="n">os</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="s1">'new_column_name_labeler'</span><span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">save_to_disk</span><span class="p">(</span><span class="s1">'new_column_name_labeler'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Loading-the-saved-Data-Labeler">
+<h2>Loading the saved Data Labeler<a class="headerlink" href="#Loading-the-saved-Data-Labeler" title="Permalink to this headline">¶</a></h2>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">saved_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="o">.</span><span class="n">load_from_disk</span><span class="p">(</span><span class="s1">'new_column_name_labeler'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># ensuring the parametesr are what we saved.</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"label_mapping:"</span><span class="p">)</span>
+<span class="n">pprint</span><span class="p">(</span><span class="n">saved_labeler</span><span class="o">.</span><span class="n">label_mapping</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">model parameters:"</span><span class="p">)</span>
+<span class="n">pprint</span><span class="p">(</span><span class="n">saved_labeler</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">_parameters</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"postprocessor: "</span> <span class="o">+</span> <span class="n">saved_labeler</span><span class="o">.</span><span class="n">postprocessor</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># predicting with the loaded labeler.</span>
+<span class="n">saved_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">([</span><span class="s2">"ssn"</span><span class="p">,</span> <span class="s2">"name"</span><span class="p">,</span> <span class="s2">"address"</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="merge_profile_list.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Merge List of Profiles</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="regex_labeler_from_scratch.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Building a Regex Data Labeler w/ your own Regex</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/column_name_labeler_example.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">ColumnName Labeler Tutorial</a><ul>
+<li><a class="reference internal" href="#Loading-and-predicting-using-a-pre-existing-model-using-load_from_library">Loading and predicting using a pre-existing model using <code class="docutils literal notranslate"><span class="pre">load_from_library</span></code></a></li>
+<li><a class="reference internal" href="#Loading-and-using-the-pre-existing-column-name-labeler-using-load_with_components">Loading and using the pre-existing column name labeler using <code class="docutils literal notranslate"><span class="pre">load_with_components</span></code></a><ul>
+<li><a class="reference internal" href="#Predicting-with-the-ColumnName-labeler">Predicting with the ColumnName labeler</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#Replacing-the-parameters-in-the-existing-labeler">Replacing the parameters in the existing labeler</a><ul>
+<li><a class="reference internal" href="#Predicting-with-the-new-labels">Predicting with the new labels</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#Saving-the-Data-Labeler-for-future-use">Saving the Data Labeler for future use</a></li>
+<li><a class="reference internal" href="#Loading-the-saved-Data-Labeler">Loading the saved Data Labeler</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/column_name_labeler_example.ipynb b/docs/0.10.5/html/column_name_labeler_example.ipynb
new file mode 100644
index 000000000..6d3369698
--- /dev/null
+++ b/docs/0.10.5/html/column_name_labeler_example.ipynb
@@ -0,0 +1,364 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e04c382a-7c49-452b-b9bf-e448951c64fe",
+   "metadata": {},
+   "source": [
+    "# ColumnName Labeler Tutorial"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fb3ecb9-bc51-4c18-93d5-7991bbee5165",
+   "metadata": {},
+   "source": [
+    "This notebook teaches how to use the existing `ColumnNameModel`:\n",
+    "\n",
+    "1. Loading and utilizing the pre-existing `ColumnNameModel`\n",
+    "2. Run the labeler\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a67c197b-d3ee-4896-a96f-cc3d043601d3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "from pprint import pprint\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "try:\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    sys.path.insert(0, '../..')\n",
+    "    import dataprofiler as dp"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "35841215",
+   "metadata": {},
+   "source": [
+    "## Loading and predicting using a pre-existing model using `load_from_library`\n",
+    "\n",
+    "The easiest option for users is to `load_from_library` by specifying the name for the labeler in the `resources/` folder. Quickly import and start predicting with any model from the Data Profiler's library of models available."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "46e36dd6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "labeler_from_library = dp.DataLabeler.load_from_library('column_name_labeler')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dfa94868",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "labeler_from_library.predict(data=[\"ssn\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c71356f4-9020-4862-a1e1-816effbb5443",
+   "metadata": {},
+   "source": [
+    "## Loading and using the pre-existing column name labeler using `load_with_components`\n",
+    "\n",
+    "For example purposes here, we will import the exsting `ColumnName` labeler via the `load_with_components` command from the `dp.DataLabeler`. This shows a bit more of the details of the data labeler's flow."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "818c5b88",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "parameters = {\n",
+    "            \"true_positive_dict\": [\n",
+    "                {\"attribute\": \"ssn\", \"label\": \"ssn\"},\n",
+    "                {\"attribute\": \"suffix\", \"label\": \"name\"},\n",
+    "                {\"attribute\": \"my_home_address\", \"label\": \"address\"},\n",
+    "            ],\n",
+    "            \"false_positive_dict\": [\n",
+    "                {\n",
+    "                    \"attribute\": \"contract_number\",\n",
+    "                    \"label\": \"ssn\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"role\",\n",
+    "                    \"label\": \"name\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"send_address\",\n",
+    "                    \"label\": \"address\",\n",
+    "                },\n",
+    "            ],\n",
+    "            \"negative_threshold_config\": 50,\n",
+    "            \"positive_threshold_config\": 85,\n",
+    "            \"include_label\": True,\n",
+    "        }\n",
+    "\n",
+    "label_mapping = {\"ssn\": 1, \"name\": 2, \"address\": 3}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9098329e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pre processor \n",
+    "preprocessor = dp.labelers.data_processing.DirectPassPreprocessor()\n",
+    "\n",
+    "# model\n",
+    "from dataprofiler.labelers.column_name_model import ColumnNameModel\n",
+    "model = ColumnNameModel(\n",
+    "    parameters=parameters,\n",
+    "    label_mapping=label_mapping,\n",
+    ")\n",
+    "\n",
+    "\n",
+    "# post processor\n",
+    "postprocessor = dp.labelers.data_processing.ColumnNameModelPostprocessor()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "113d6655-4bca-4d8e-9e6f-b972e29d5684",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler = dp.DataLabeler.load_with_components(\n",
+    "    preprocessor=preprocessor,\n",
+    "    model=model,\n",
+    "    postprocessor=postprocessor,\n",
+    ")\n",
+    "data_labeler.model.help()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0b405887-2b92-44ca-b8d7-29c384f6dd9c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.label_mapping)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11916a48-098c-4056-ac6c-b9542d85fa86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.model._parameters)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "da0e97ee-8d6d-4631-9b55-78ed904d5f41",
+   "metadata": {},
+   "source": [
+    "### Predicting with the ColumnName labeler\n",
+    "\n",
+    "In the prediction below, the data will be passed into to stages in the background\n",
+    "- 1) `compare_negative`: The idea behind the `compare_negative` is to first filter out any possibility of flagging a false positive in the model prediction. In this step, the confidence value is checked and if the similarity is too close to being a false positive, that particular string in the `data` is removed and not returned to the `compare_positive`.\n",
+    "- 2) `compare_positive`: Finally the `data` is passed to the `compare_positive` step and checked for similarity with the the `true_positive_dict` values. Again, during this stage the `positive_threshold_config` is used to filter the results to only those `data` values that are greater than or equal to the `positive_threshold_config` provided by the user."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fe519e65-36a7-4f42-8314-5369de8635c7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# evaluate a prediction using the default parameters\n",
+    "data_labeler.predict(data=[\"ssn\", \"name\", \"address\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b41d834d-e47b-45a6-8970-d2d2033e2ade",
+   "metadata": {},
+   "source": [
+    "## Replacing the parameters in the existing labeler\n",
+    "\n",
+    "We can achieve this by:\n",
+    "1. Setting the label mapping to the new labels\n",
+    "2. Setting the model parameters which include: `true_positive_dict`, `false_positive_dict`, `negative_threshold_config`, `positive_threshold_config`, and `include_label`\n",
+    "\n",
+    "where `true_positive_dict` and `false_positive_dict` are `lists` of `dicts`, `negative_threshold_config` and `positive_threshold_config` are integer values between `0` and `100`, and `include_label` is a `boolean` value that determines if the output should include the prediction labels or only the confidence values."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c6bb010a-406f-4fd8-abd0-3355a5ad0ded",
+   "metadata": {},
+   "source": [
+    "Below, we created 4 labels where `other` is the `default_label`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f86584cf-a7af-4bae-bf44-d87caa68833a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.set_labels({'other': 0, \"funky_one\": 1, \"funky_two\": 2, \"funky_three\": 3})\n",
+    "data_labeler.model.set_params(\n",
+    "    true_positive_dict= [\n",
+    "                {\"attribute\": \"ssn\", \"label\": \"funky_one\"},\n",
+    "                {\"attribute\": \"suffix\", \"label\": \"funky_two\"},\n",
+    "                {\"attribute\": \"my_home_address\", \"label\": \"funky_three\"},\n",
+    "            ],\n",
+    "    false_positive_dict=[\n",
+    "                {\n",
+    "                    \"attribute\": \"contract_number\",\n",
+    "                    \"label\": \"ssn\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"role\",\n",
+    "                    \"label\": \"name\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"not_my_address\",\n",
+    "                    \"label\": \"address\",\n",
+    "                },\n",
+    "            ],\n",
+    "    negative_threshold_config=50,\n",
+    "    positive_threshold_config=85,\n",
+    "    include_label=True,\n",
+    ")\n",
+    "data_labeler.label_mapping"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ece1c8c-18a5-46fc-b563-6458e6e71e53",
+   "metadata": {},
+   "source": [
+    "### Predicting with the new labels\n",
+    "\n",
+    "Here we are testing the `predict()` method with brand new labels for label_mapping. As we can see the new labels flow throught to the output of the data labeler."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "92842e14-2ea6-4879-b58c-c52b607dc94c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(data=[\"ssn\", \"suffix\"], predict_options=dict(show_confidences=True))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "261b903f-8f4c-403f-839b-ab8813f850e9",
+   "metadata": {},
+   "source": [
+    "## Saving the Data Labeler for future use"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b6ffbaf2-9400-486a-ba83-5fc9ba9334d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not os.path.isdir('new_column_name_labeler'):\n",
+    "    os.mkdir('new_column_name_labeler')\n",
+    "data_labeler.save_to_disk('new_column_name_labeler')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09e40cb6-9d89-41c4-ae28-3dca498f8c68",
+   "metadata": {},
+   "source": [
+    "## Loading the saved Data Labeler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52615b25-70a6-4ebb-8a32-14aaf1e747d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "saved_labeler = dp.DataLabeler.load_from_disk('new_column_name_labeler')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1ccc0b3-1dc2-4847-95c2-d6b8769b1590",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ensuring the parametesr are what we saved.\n",
+    "print(\"label_mapping:\")\n",
+    "pprint(saved_labeler.label_mapping)\n",
+    "print(\"\\nmodel parameters:\")\n",
+    "pprint(saved_labeler.model._parameters)\n",
+    "print()\n",
+    "print(\"postprocessor: \" + saved_labeler.postprocessor.__class__.__name__)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c827f2ae-4af6-4f3f-9651-9ee9ebea9fa0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predicting with the loaded labeler.\n",
+    "saved_labeler.predict([\"ssn\", \"name\", \"address\"])"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/html/data_labeling.html b/docs/0.10.5/html/data_labeling.html
new file mode 100644
index 000000000..044fb4b80
--- /dev/null
+++ b/docs/0.10.5/html/data_labeling.html
@@ -0,0 +1,616 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Graphs" href="graphs.html" /><link rel="prev" title="Profiler" href="profiler.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Labeler (Sensitive Data) - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="labeler-sensitive-data">
+<span id="data-labeling"></span><h1>Labeler (Sensitive Data)<a class="headerlink" href="#labeler-sensitive-data" title="Permalink to this headline">¶</a></h1>
+<p>In this library, the term <em>data labeling</em> refers to entity recognition.</p>
+<p>Builtin to the data profiler is a classifier which evaluates the complex data types of the dataset.
+For structured data, it determines the complex data type of each column. When
+running the data profile, it uses the default data labeling model builtin to the
+library. However, the data labeler allows users to train their own data labeler
+as well.</p>
+<p><em>Data Labels</em> are determined per cell for structured data (column/row when
+the <em>profiler</em> is used) or at the character level for unstructured data. This
+is a list of the default labels.</p>
+<ul class="simple">
+<li><p>UNKNOWN</p></li>
+<li><p>ADDRESS</p></li>
+<li><p>BAN (bank account number, 10-18 digits)</p></li>
+<li><p>CREDIT_CARD</p></li>
+<li><p>EMAIL_ADDRESS</p></li>
+<li><p>UUID</p></li>
+<li><p>HASH_OR_KEY (md5, sha1, sha256, random hash, etc.)</p></li>
+<li><p>IPV4</p></li>
+<li><p>IPV6</p></li>
+<li><p>MAC_ADDRESS</p></li>
+<li><p>PERSON</p></li>
+<li><p>PHONE_NUMBER</p></li>
+<li><p>SSN</p></li>
+<li><p>URL</p></li>
+<li><p>US_STATE</p></li>
+<li><p>DRIVERS_LICENSE</p></li>
+<li><p>DATE</p></li>
+<li><p>TIME</p></li>
+<li><p>DATETIME</p></li>
+<li><p>INTEGER</p></li>
+<li><p>FLOAT</p></li>
+<li><p>QUANTITY</p></li>
+<li><p>ORDINAL</p></li>
+</ul>
+<section id="identify-entities-in-structured-data">
+<h2>Identify Entities in Structured Data<a class="headerlink" href="#identify-entities-in-structured-data" title="Permalink to this headline">¶</a></h2>
+<p>Makes predictions and identifying labels:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="c1"># load data and data labeler</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"your_data.csv"</span><span class="p">)</span>
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">)</span>
+
+<span class="c1"># make predictions and get labels per cell</span>
+<span class="n">predictions</span> <span class="o">=</span> <span class="n">data_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+</pre></div>
+</div>
+</section>
+<section id="identify-entities-in-unstructured-data">
+<h2>Identify Entities in Unstructured Data<a class="headerlink" href="#identify-entities-in-unstructured-data" title="Permalink to this headline">¶</a></h2>
+<p>Predict which class characters belong to in unstructured text:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'unstructured'</span><span class="p">)</span>
+
+<span class="c1"># Example sample string, must be in an array (multiple arrays can be passed)</span>
+<span class="n">sample</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"Help</span><span class="se">\t</span><span class="s2">John Macklemore</span><span class="se">\t</span><span class="s2">needs</span><span class="se">\t</span><span class="s2">food.</span><span class="se">\t</span><span class="s2">Please</span><span class="se">\t</span><span class="s2">Call</span><span class="se">\t</span><span class="s2">555-301-1234."</span>
+          <span class="s2">"</span><span class="se">\t</span><span class="s2">His</span><span class="se">\t</span><span class="s2">ssn</span><span class="se">\t</span><span class="s2">is</span><span class="se">\t</span><span class="s2">not</span><span class="se">\t</span><span class="s2">334-97-1234. I'm a BAN: 000043219499392912.</span><span class="se">\n</span><span class="s2">"</span><span class="p">]</span>
+
+<span class="c1"># Prediction what class each character belongs to</span>
+<span class="n">model_predictions</span> <span class="o">=</span> <span class="n">data_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span>
+    <span class="n">sample</span><span class="p">,</span> <span class="n">predict_options</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">show_confidences</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span>
+
+<span class="c1"># Predictions / confidences are at the character level</span>
+<span class="n">final_results</span> <span class="o">=</span> <span class="n">model_predictions</span><span class="p">[</span><span class="s2">"pred"</span><span class="p">]</span>
+<span class="n">final_confidences</span> <span class="o">=</span> <span class="n">model_predictions</span><span class="p">[</span><span class="s2">"conf"</span><span class="p">]</span>
+</pre></div>
+</div>
+<p>It’s also possible to change output formats, output similar to a <strong>SpaCy</strong> format:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'unstructured'</span><span class="p">,</span> <span class="n">trainable</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># Example sample string, must be in an array (multiple arrays can be passed)</span>
+<span class="n">sample</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"Help</span><span class="se">\t</span><span class="s2">John Macklemore</span><span class="se">\t</span><span class="s2">needs</span><span class="se">\t</span><span class="s2">food.</span><span class="se">\t</span><span class="s2">Please</span><span class="se">\t</span><span class="s2">Call</span><span class="se">\t</span><span class="s2">555-301-1234."</span>
+          <span class="s2">"</span><span class="se">\t</span><span class="s2">His</span><span class="se">\t</span><span class="s2">ssn</span><span class="se">\t</span><span class="s2">is</span><span class="se">\t</span><span class="s2">not</span><span class="se">\t</span><span class="s2">334-97-1234. I'm a BAN: 000043219499392912.</span><span class="se">\n</span><span class="s2">"</span><span class="p">]</span>
+
+<span class="c1"># Set the output to the NER format (start position, end position, label)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span>
+    <span class="p">{</span> <span class="s1">'postprocessor'</span><span class="p">:</span> <span class="p">{</span> <span class="s1">'output_format'</span><span class="p">:</span><span class="s1">'ner'</span><span class="p">,</span> <span class="s1">'use_word_level_argmax'</span><span class="p">:</span><span class="kc">True</span> <span class="p">}</span> <span class="p">}</span>
+<span class="p">)</span>
+
+<span class="n">results</span> <span class="o">=</span> <span class="n">data_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">sample</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="n">results</span><span class="p">)</span>
+</pre></div>
+</div>
+</section>
+<section id="train-a-new-data-labeler">
+<h2>Train a New Data Labeler<a class="headerlink" href="#train-a-new-data-labeler" title="Permalink to this headline">¶</a></h2>
+<p>Mechanism for training your own data labeler on their own set of structured data
+(tabular):</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="c1"># Will need one column with a default label of UNKNOWN</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">train_structured_labeler</span><span class="p">(</span>
+    <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span>
+    <span class="n">save_dirpath</span><span class="o">=</span><span class="s2">"/path/to/save/labeler"</span><span class="p">,</span>
+    <span class="n">epochs</span><span class="o">=</span><span class="mi">2</span>
+<span class="p">)</span>
+
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">save_to_disk</span><span class="p">(</span><span class="s2">"my/save/path"</span><span class="p">)</span> <span class="c1"># Saves the data labeler for reuse</span>
+</pre></div>
+</div>
+</section>
+<section id="load-an-existing-data-labeler">
+<h2>Load an Existing Data Labeler<a class="headerlink" href="#load-an-existing-data-labeler" title="Permalink to this headline">¶</a></h2>
+<p>Mechanism for loading an existing data_labeler:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span>
+    <span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">,</span> <span class="n">dirpath</span><span class="o">=</span><span class="s2">"/path/to/my/labeler"</span><span class="p">)</span>
+
+<span class="c1"># get information about the parameters/inputs/output formats for the DataLabeler</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">help</span><span class="p">()</span>
+</pre></div>
+</div>
+</section>
+<section id="extending-a-data-labeler-with-transfer-learning">
+<h2>Extending a Data Labeler with Transfer Learning<a class="headerlink" href="#extending-a-data-labeler-with-transfer-learning" title="Permalink to this headline">¶</a></h2>
+<p>Extending or changing labels of a data labeler w/ transfer learning:
+Note: By default, <strong>a labeler loaded will not be trainable</strong>. In order to load a
+trainable DataLabeler, the user must set <cite>trainable=True</cite> or load a labeler
+using the <cite>TrainableDataLabeler</cite> class.</p>
+<p>The following illustrates how to change the labels:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">labels</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'label1'</span><span class="p">,</span> <span class="s1">'label2'</span><span class="p">,</span> <span class="o">...</span><span class="p">]</span>  <span class="c1"># new label set can also be an encoding dict</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>  <span class="c1"># contains data with new labels</span>
+
+<span class="c1"># load default structured Data Labeler w/ trainable set to True</span>
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">,</span> <span class="n">trainable</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># this will use transfer learning to retrain the data labeler on your new</span>
+<span class="c1"># dataset and labels.</span>
+<span class="c1"># NOTE: data must be in an acceptable format for the preprocessor to interpret.</span>
+<span class="c1">#       please refer to the preprocessor/model for the expected data format.</span>
+<span class="c1">#       Currently, the DataLabeler cannot take in Tabular data, but requires</span>
+<span class="c1">#       data to be ingested with two columns [X, y] where X is the samples and</span>
+<span class="c1">#       y is the labels.</span>
+<span class="n">model_results</span> <span class="o">=</span> <span class="n">data_labeler</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="s1">'samples'</span><span class="p">],</span> <span class="n">y</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="s1">'labels'</span><span class="p">],</span>
+                                 <span class="n">validation_split</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">epochs</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="n">labels</span><span class="p">)</span>
+
+<span class="c1"># final_results, final_confidences are a list of results for each epoch</span>
+<span class="n">epoch_id</span> <span class="o">=</span> <span class="mi">0</span>
+<span class="n">final_results</span> <span class="o">=</span> <span class="n">model_results</span><span class="p">[</span><span class="n">epoch_id</span><span class="p">][</span><span class="s2">"pred"</span><span class="p">]</span>
+<span class="n">final_confidences</span> <span class="o">=</span> <span class="n">model_results</span><span class="p">[</span><span class="n">epoch_id</span><span class="p">][</span><span class="s2">"conf"</span><span class="p">]</span>
+</pre></div>
+</div>
+<p>The following illustrates how to extend the labels:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">new_labels</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'label1'</span><span class="p">,</span> <span class="s1">'label2'</span><span class="p">,</span> <span class="o">...</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>  <span class="c1"># contains data with new labels</span>
+
+<span class="c1"># load default structured Data Labeler w/ trainable set to True</span>
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">,</span> <span class="n">trainable</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># this will maintain current labels and model weights, but extend the model's</span>
+<span class="c1"># labels</span>
+<span class="k">for</span> <span class="n">label</span> <span class="ow">in</span> <span class="n">new_labels</span><span class="p">:</span>
+    <span class="n">data_labeler</span><span class="o">.</span><span class="n">add_label</span><span class="p">(</span><span class="n">label</span><span class="p">)</span>
+
+<span class="c1"># NOTE: a user can also add a label which maps to the same index as an existing</span>
+<span class="c1"># label</span>
+<span class="c1"># data_labeler.add_label(label, same_as='&lt;label_name&gt;')</span>
+
+<span class="c1"># For a trainable model, the user must then train the model to be able to</span>
+<span class="c1"># continue using the labeler since the model's graph has likely changed</span>
+<span class="c1"># NOTE: data must be in an acceptable format for the preprocessor to interpret.</span>
+<span class="c1">#       please refer to the preprocessor/model for the expected data format.</span>
+<span class="c1">#       Currently, the DataLabeler cannot take in Tabular data, but requires</span>
+<span class="c1">#       data to be ingested with two columns [X, y] where X is the samples and</span>
+<span class="c1">#       y is the labels.</span>
+<span class="n">model_results</span> <span class="o">=</span> <span class="n">data_labeler</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="s1">'samples'</span><span class="p">],</span> <span class="n">y</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="s1">'labels'</span><span class="p">],</span>
+                                 <span class="n">validation_split</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">epochs</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+
+<span class="c1"># final_results, final_confidences are a list of results for each epoch</span>
+<span class="n">epoch_id</span> <span class="o">=</span> <span class="mi">0</span>
+<span class="n">final_results</span> <span class="o">=</span> <span class="n">model_results</span><span class="p">[</span><span class="n">epoch_id</span><span class="p">][</span><span class="s2">"pred"</span><span class="p">]</span>
+<span class="n">final_confidences</span> <span class="o">=</span> <span class="n">model_results</span><span class="p">[</span><span class="n">epoch_id</span><span class="p">][</span><span class="s2">"conf"</span><span class="p">]</span>
+</pre></div>
+</div>
+<p>Changing pipeline parameters:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="c1"># load default Data Labeler</span>
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">)</span>
+
+<span class="c1"># change parameters of specific component</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">preprocessor</span><span class="o">.</span><span class="n">set_params</span><span class="p">({</span><span class="s1">'param1'</span><span class="p">:</span> <span class="s1">'value1'</span><span class="p">})</span>
+
+<span class="c1"># change multiple simultaneously.</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">set_params</span><span class="p">({</span>
+    <span class="s1">'preprocessor'</span><span class="p">:</span>  <span class="p">{</span><span class="s1">'param1'</span><span class="p">:</span> <span class="s1">'value1'</span><span class="p">},</span>
+    <span class="s1">'model'</span><span class="p">:</span>         <span class="p">{</span><span class="s1">'param2'</span><span class="p">:</span> <span class="s1">'value2'</span><span class="p">},</span>
+    <span class="s1">'postprocessor'</span><span class="p">:</span> <span class="p">{</span><span class="s1">'param3'</span><span class="p">:</span> <span class="s1">'value3'</span><span class="p">}</span>
+<span class="p">})</span>
+</pre></div>
+</div>
+<section id="build-your-own-data-labeler">
+<h3>Build Your Own Data Labeler<a class="headerlink" href="#build-your-own-data-labeler" title="Permalink to this headline">¶</a></h3>
+<p>The DataLabeler has 3 main components: preprocessor, model, and postprocessor.
+To create your own DataLabeler, each one would have to be created or an
+existing component can be reused.</p>
+<p>Given a set of the 3 components, you can construct your own DataLabeler:</p>
+<p>Option for swapping out specific components of an existing labeler.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.labelers.character_level_cnn_model</span> <span class="kn">import</span> \
+    <span class="n">CharacterLevelCnnModel</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.labelers.data_processing</span> <span class="kn">import</span> \
+    <span class="n">StructCharPreprocessor</span><span class="p">,</span> <span class="n">StructCharPostprocessor</span>
+
+<span class="n">model</span> <span class="o">=</span> <span class="n">CharacterLevelCnnModel</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="n">preprocessor</span> <span class="o">=</span> <span class="n">StructCharPreprocessor</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="n">postprocessor</span> <span class="o">=</span> <span class="n">StructCharPostprocessor</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">set_preprocessor</span><span class="p">(</span><span class="n">preprocessor</span><span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">set_model</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">set_postprocessor</span><span class="p">(</span><span class="n">postprocessor</span><span class="p">)</span>
+
+<span class="c1"># check for basic compatibility between the processors and the model</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">check_pipeline</span><span class="p">()</span>
+</pre></div>
+</div>
+</section>
+</section>
+<section id="model-component">
+<h2>Model Component<a class="headerlink" href="#model-component" title="Permalink to this headline">¶</a></h2>
+<p>In order to create your own model component for data labeling, you can utilize
+the <cite>BaseModel</cite> class from <cite>dataprofiler.labelers.base_model</cite> and
+overriding the abstract class methods.</p>
+<p>Reviewing <cite>CharacterLevelCnnModel</cite> from
+<cite>dataprofiler.labelers.character_level_cnn_model</cite> illustrates the functions
+which need an override.</p>
+<ol class="arabic simple">
+<li><p><cite>__init__</cite>: specifying default parameters and calling base <cite>__init__</cite></p></li>
+<li><p><cite>_validate_parameters</cite>: validating parameters given by user during setting</p></li>
+<li><p><cite>_need_to_reconstruct_model</cite>: flag for when to reconstruct a model (i.e.
+parameters change or labels change require a model reconstruction)</p></li>
+<li><p><cite>_construct_model</cite>: initial construction of the model given the parameters</p></li>
+<li><p><cite>_reconstruct_model</cite>: updates model architecture for new label set while
+maintaining current model weights</p></li>
+<li><p><cite>fit</cite>: mechanism for the model to learn given training data</p></li>
+<li><p><cite>predict</cite>: mechanism for model to make predictions on data</p></li>
+<li><p><cite>details</cite>: prints a summary of the model construction</p></li>
+<li><p><cite>save_to_disk</cite>: saves model and model parameters to disk</p></li>
+<li><p><cite>load_from_disk</cite>: loads model given a path on disk</p></li>
+</ol>
+</section>
+<section id="preprocessor-component">
+<h2>Preprocessor Component<a class="headerlink" href="#preprocessor-component" title="Permalink to this headline">¶</a></h2>
+<p>In order to create your own preprocessor component for data labeling, you can
+utilize the <cite>BaseDataPreprocessor</cite> class
+from <cite>dataprofiler.labelers.data_processing</cite> and override the abstract class
+methods.</p>
+<p>Reviewing <cite>StructCharPreprocessor</cite> from
+<cite>dataprofiler.labelers.data_processing</cite> illustrates the functions which
+need an override.</p>
+<ol class="arabic simple">
+<li><p><cite>__init__</cite>: passing parameters to the base class and executing any
+extraneous calculations to be saved as parameters</p></li>
+<li><p><cite>_validate_parameters</cite>: validating parameters given by user during
+setting</p></li>
+<li><p><cite>process</cite>: takes in the user data and converts it into an digestible,
+iterable format for the model</p></li>
+<li><p><cite>set_params</cite> (optional): if a parameter requires processing before setting,
+a user can override this function to assist with setting the parameter</p></li>
+<li><p><cite>_save_processor</cite> (optional): if a parameter is not JSON serializable, a
+user can override this function to assist in saving the processor and its
+parameters</p></li>
+<li><p><cite>load_from_disk</cite> (optional): if a parameter(s) is not JSON serializable, a
+user can override this function to assist in loading the processor</p></li>
+</ol>
+</section>
+<section id="postprocessor-component">
+<h2>Postprocessor Component<a class="headerlink" href="#postprocessor-component" title="Permalink to this headline">¶</a></h2>
+<p>The postprocessor is nearly identical to the preprocessor except it handles
+the output of the model for processing. In order to create your own
+postprocessor component for data  labeling, you can utilize the
+<cite>BaseDataPostprocessor</cite> class from  <cite>dataprofiler.labelers.data_processing</cite>
+and override the abstract class methods.</p>
+<p>Reviewing <cite>StructCharPostprocessor</cite> from
+<cite>dataprofiler.labelers.data_processing</cite> illustrates the functions which
+need an override.</p>
+<ol class="arabic simple">
+<li><p><cite>__init__</cite>: passing parameters to the base class and executing any
+extraneous calculations to be saved as parameters</p></li>
+<li><p><cite>_validate_parameters</cite>: validating parameters given by user during
+setting</p></li>
+<li><p><cite>process</cite>: takes in the output of the model and processes for output to
+the user</p></li>
+<li><p><cite>set_params</cite> (optional): if a parameter requires processing before setting,
+a user can override this function to assist with setting the parameter</p></li>
+<li><p><cite>_save_processor</cite> (optional): if a parameter is not JSON serializable, a
+user can override this function to assist in saving the processor and its
+parameters</p></li>
+<li><p><cite>load_from_disk</cite> (optional): if a parameter(s) is not JSON serializable, a
+user can override this function to assist in loading the processor</p></li>
+</ol>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="graphs.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Graphs</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="profiler.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Profiler</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/data_labeling.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Labeler (Sensitive Data)</a><ul>
+<li><a class="reference internal" href="#identify-entities-in-structured-data">Identify Entities in Structured Data</a></li>
+<li><a class="reference internal" href="#identify-entities-in-unstructured-data">Identify Entities in Unstructured Data</a></li>
+<li><a class="reference internal" href="#train-a-new-data-labeler">Train a New Data Labeler</a></li>
+<li><a class="reference internal" href="#load-an-existing-data-labeler">Load an Existing Data Labeler</a></li>
+<li><a class="reference internal" href="#extending-a-data-labeler-with-transfer-learning">Extending a Data Labeler with Transfer Learning</a><ul>
+<li><a class="reference internal" href="#build-your-own-data-labeler">Build Your Own Data Labeler</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#model-component">Model Component</a></li>
+<li><a class="reference internal" href="#preprocessor-component">Preprocessor Component</a></li>
+<li><a class="reference internal" href="#postprocessor-component">Postprocessor Component</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/data_reader.html b/docs/0.10.5/html/data_reader.html
new file mode 100644
index 000000000..32bad17c1
--- /dev/null
+++ b/docs/0.10.5/html/data_reader.html
@@ -0,0 +1,1102 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Structured Profilers" href="profiler_example.html" /><link rel="prev" title="Data Profiler - What’s in your data?" href="overview.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Intro to Data Readers - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/data_reader.nblink">View this notebook on GitHub</a></p>
+<section id="Intro-to-Data-Readers">
+<h1>Intro to Data Readers<a class="headerlink" href="#Intro-to-Data-Readers" title="Permalink to this headline">¶</a></h1>
+<p>Within the Data Profiler, there are 5 data reader classes:</p>
+<ul class="simple">
+<li><p>CSVData (delimited data: CSV, TSV, etc.)</p></li>
+<li><p>JSONData</p></li>
+<li><p>ParquetData</p></li>
+<li><p>AVROData</p></li>
+<li><p>GraphData</p></li>
+<li><p>TextData</p></li>
+</ul>
+<p>Each of these classes can be used to read data individually, however the Data Profiler provides the unique capability of auto detecting what data you have and reading it automatically by using the <code class="docutils literal notranslate"><span class="pre">Data</span></code> class.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s1">'/path/to/mydata.abc'</span><span class="p">)</span>  <span class="c1"># auto detects and reads your data</span>
+</pre></div>
+</div>
+<section id="Automatically-reading-and-detecting-data">
+<h2>Automatically reading and detecting data<a class="headerlink" href="#Automatically-reading-and-detecting-data" title="Permalink to this headline">¶</a></h2>
+<p>Below is a demonstration of utilizing the <code class="docutils literal notranslate"><span class="pre">Data</span></code> class which automatically detects the type of data for a given file and reads it automatically.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+
+<span class="k">try</span><span class="p">:</span>
+    <span class="n">sys</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="s1">'..'</span><span class="p">)</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># use data reader to read input data with different file types</span>
+<span class="n">data_folder</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data"</span>
+<span class="n">csv_files</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">"csv/aws_honeypot_marx_geo.csv"</span><span class="p">,</span>
+    <span class="s2">"csv/all-strings-skip-header-author.csv"</span><span class="p">,</span> <span class="c1"># csv files with the author/description on the first line</span>
+    <span class="s2">"csv/sparse-first-and-last-column-empty-first-row.txt"</span><span class="p">,</span> <span class="c1"># csv file with the .txt extension</span>
+<span class="p">]</span>
+<span class="n">json_files</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">"json/complex_nested.json"</span><span class="p">,</span>
+    <span class="s2">"json/honeypot_intentially_mislabeled_file.csv"</span><span class="p">,</span> <span class="c1"># json file with the .csv extension</span>
+<span class="p">]</span>
+<span class="n">parquet_files</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">"parquet/nation.dict.parquet"</span><span class="p">,</span>
+    <span class="s2">"parquet/nation.plain.intentionally_mislabled_file.csv"</span><span class="p">,</span> <span class="c1"># parquet file with the .csv extension</span>
+<span class="p">]</span>
+<span class="n">avro_files</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">"avro/userdata1.avro"</span><span class="p">,</span>
+    <span class="s2">"avro/userdata1_intentionally_mislabled_file.json"</span><span class="p">,</span> <span class="c1"># avro file with the .json extension</span>
+<span class="p">]</span>
+<span class="n">graph_files</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">"csv/graph_data_csv_identify.csv"</span><span class="p">,</span> <span class="c1"># csv file with graph column names</span>
+<span class="p">]</span>
+<span class="n">text_files</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">"txt/discussion_reddit.txt"</span><span class="p">,</span>
+<span class="p">]</span>
+<span class="n">all_files</span> <span class="o">=</span> <span class="n">csv_files</span> <span class="o">+</span> <span class="n">json_files</span> <span class="o">+</span> <span class="n">parquet_files</span> <span class="o">+</span> <span class="n">avro_files</span> <span class="o">+</span> <span class="n">graph_files</span> <span class="o">+</span> <span class="n">text_files</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'filepath'</span> <span class="o">+</span> <span class="s1">' '</span> <span class="o">*</span> <span class="mi">58</span> <span class="o">+</span> <span class="s1">'data type'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'='</span><span class="o">*</span><span class="mi">80</span><span class="p">)</span>
+<span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">all_files</span><span class="p">:</span>
+    <span class="n">filepath</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_folder</span><span class="p">,</span> <span class="n">file</span><span class="p">)</span>
+    <span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="si">{:&lt;65}</span><span class="s2"> </span><span class="si">{:&lt;15}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">file</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">data_type</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># importing from a url</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s1">'https://raw.githubusercontent.com/capitalone/DataProfiler/main/dataprofiler/tests/data/csv/diamonds.csv'</span><span class="p">)</span>
+<span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Specifying-detection-options-of-Data-and-loading-pandas.DataFrame">
+<h2>Specifying detection options of <code class="docutils literal notranslate"><span class="pre">Data</span></code> and loading <code class="docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code><a class="headerlink" href="#Specifying-detection-options-of-Data-and-loading-pandas.DataFrame" title="Permalink to this headline">¶</a></h2>
+<p>The <code class="docutils literal notranslate"><span class="pre">Data</span></code> class also gives the ability to set options or if the user wants to load their data with specific requirements. Options for each data reader are specified in the docs: <a class="reference external" href="https://capitalone.github.io/DataProfiler/docs/0.4.4/html/dataprofiler.data_readers.html">https://capitalone.github.io/DataProfiler/docs/0.4.4/html/dataprofiler.data_readers.html</a></p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">options</span> <span class="o">=</span> <span class="p">{</span><span class="o">...</span><span class="p">}</span>  <span class="c1"># allowed options are specified for each data reader.</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">options</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>Later in this tutorial, the options for the CSVData class will be discussed.</p>
+<p>Additionally, a user can directly load a <code class="docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code> as any data reader they choose.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.data_readers.csv_data</span> <span class="kn">import</span> <span class="n">CSVData</span>
+
+
+<span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">([</span><span class="s1">'my'</span><span class="p">,</span> <span class="s1">'random'</span><span class="p">,</span> <span class="s1">'data'</span><span class="p">])</span>
+
+<span class="c1"># specify via the `Data` class</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">df</span><span class="p">,</span> <span class="n">data_type</span><span class="o">=</span><span class="s1">'csv'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'Data Type: '</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">data_type</span><span class="p">)</span>
+
+<span class="c1"># specifically use the CSVData class</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">CSVData</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">df</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'Data Type: '</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">data_type</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Accessing-data-and-attributes">
+<h2>Accessing data and attributes<a class="headerlink" href="#Accessing-data-and-attributes" title="Permalink to this headline">¶</a></h2>
+<p>Once loaded, the data can be accessed via the <code class="docutils literal notranslate"><span class="pre">data</span></code> property of the object. Additional information about the data loaded may differ between data readers.</p>
+<p>For this example we will focus on <code class="docutils literal notranslate"><span class="pre">CSVData</span></code>.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">filepath</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv"</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'Data Type: '</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">data_type</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'Data Filepath: '</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">input_file_path</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'File Encoding: '</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">file_encoding</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'Data Length (two techniques): '</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">),</span> <span class="n">data</span><span class="o">.</span><span class="n">length</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"Data Access:"</span><span class="p">)</span>
+<span class="n">data</span><span class="o">.</span><span class="n">data</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Checking-data-file-types-with-is_match">
+<h2>Checking data file types with <code class="docutils literal notranslate"><span class="pre">is_match</span></code><a class="headerlink" href="#Checking-data-file-types-with-is_match" title="Permalink to this headline">¶</a></h2>
+<p>Each data reader has a class method <code class="docutils literal notranslate"><span class="pre">is_match</span></code> which determines whether or not a dataset is of a given data type.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">CSVData</span><span class="o">.</span><span class="n">is_match</span>
+<span class="n">JSONData</span><span class="o">.</span><span class="n">is_match</span>
+<span class="n">ParquetData</span><span class="o">.</span><span class="n">is_match</span>
+<span class="n">AVROData</span><span class="o">.</span><span class="n">is_match</span>
+<span class="n">GraphData</span><span class="o">.</span><span class="n">is_match</span>
+<span class="n">TextData</span><span class="o">.</span><span class="n">is_match</span>
+</pre></div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># supplemental function</span>
+<span class="k">def</span> <span class="nf">add_true_false_color</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""Converts True to green and False to red in printed text."""</span>
+    <span class="k">if</span> <span class="n">value</span><span class="p">:</span>
+        <span class="k">return</span> <span class="s2">"</span><span class="se">\x1b</span><span class="s2">[92m  "</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">is_match</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\x1b</span><span class="s2">[0m"</span>
+    <span class="k">return</span> <span class="s2">"</span><span class="se">\x1b</span><span class="s2">[31m "</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">is_match</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\x1b</span><span class="s2">[0m"</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">from</span> <span class="nn">dataprofiler.data_readers.csv_data</span> <span class="kn">import</span> <span class="n">CSVData</span>
+
+
+<span class="n">non_csv_files</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s1">'json/iris-utf-8.json'</span><span class="p">,</span>
+    <span class="s1">'json/honeypot_intentially_mislabeled_file.csv'</span><span class="p">,</span>
+    <span class="s1">'parquet/titanic.parq'</span><span class="p">,</span>
+    <span class="s1">'parquet/nation.plain.intentionally_mislabled_file.csv'</span><span class="p">,</span>
+    <span class="s1">'txt/code.txt'</span><span class="p">,</span>
+    <span class="s1">'txt/sentence.txt'</span><span class="p">,</span>
+    <span class="s1">'avro/users.avro'</span><span class="p">,</span>
+    <span class="s1">'avro/snappy_compressed_intentionally_mislabeled_file.csv'</span><span class="p">,</span>
+<span class="p">]</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="s2">"Is the file a CSV?"</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'='</span> <span class="o">*</span> <span class="mi">80</span><span class="p">)</span>
+<span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">csv_files</span><span class="p">:</span>
+    <span class="n">filepath</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_folder</span><span class="p">,</span> <span class="n">file</span><span class="p">)</span>
+    <span class="n">is_match</span> <span class="o">=</span> <span class="n">CSVData</span><span class="o">.</span><span class="n">is_match</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
+    <span class="nb">print</span><span class="p">(</span><span class="n">add_true_false_color</span><span class="p">(</span><span class="n">is_match</span><span class="p">),</span> <span class="s1">':'</span><span class="p">,</span> <span class="n">file</span><span class="p">)</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s1">'='</span> <span class="o">*</span> <span class="mi">80</span><span class="p">)</span>
+
+<span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">non_csv_files</span><span class="p">:</span>
+    <span class="n">filepath</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_folder</span><span class="p">,</span> <span class="n">file</span><span class="p">)</span>
+    <span class="n">is_match</span> <span class="o">=</span> <span class="n">CSVData</span><span class="o">.</span><span class="n">is_match</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
+    <span class="nb">print</span><span class="p">(</span><span class="n">add_true_false_color</span><span class="p">(</span><span class="n">is_match</span><span class="p">),</span> <span class="s1">':'</span><span class="p">,</span> <span class="n">file</span><span class="p">)</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s1">'='</span> <span class="o">*</span> <span class="mi">80</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Reloading-data-after-altering-options-with-reload">
+<h2>Reloading data after altering options with <code class="docutils literal notranslate"><span class="pre">reload</span></code><a class="headerlink" href="#Reloading-data-after-altering-options-with-reload" title="Permalink to this headline">¶</a></h2>
+<p>There are two cases for using the reload function, both of which require the data type to have been interpreted correctly:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>1. The options were not correctly determined
+2. The options were loaded correctly but a change is desired.
+</pre></div>
+</div>
+<p>In the example below, the <code class="docutils literal notranslate"><span class="pre">data_format</span></code> for reading the data is changed and the data is then reloaded.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">filepath</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data/csv/diamonds.csv"</span>
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'original data:'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'='</span> <span class="o">*</span> <span class="mi">80</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="p">[:</span><span class="mi">5</span><span class="p">])</span>
+
+<span class="nb">print</span><span class="p">()</span>
+<span class="n">data</span><span class="o">.</span><span class="n">reload</span><span class="p">(</span><span class="n">options</span><span class="o">=</span><span class="p">{</span><span class="s1">'data_format'</span><span class="p">:</span> <span class="s1">'records'</span><span class="p">,</span> <span class="s1">'record_samples_per_line'</span><span class="p">:</span> <span class="mi">1</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'reloaded data:'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'='</span> <span class="o">*</span> <span class="mi">80</span><span class="p">)</span>
+<span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="p">[:</span><span class="mi">5</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="A-deeper-dive-into-CSVData">
+<h2>A deeper dive into <code class="docutils literal notranslate"><span class="pre">CSVData</span></code><a class="headerlink" href="#A-deeper-dive-into-CSVData" title="Permalink to this headline">¶</a></h2>
+<p>This next section will focus on how to use the data reader class: <code class="docutils literal notranslate"><span class="pre">CSVData</span></code>. The <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> class is used for reading delimited data. Delimited data are datasets which have their columns specified by a specific character, commonly the <code class="docutils literal notranslate"><span class="pre">,</span></code>. E.g. from the <code class="docutils literal notranslate"><span class="pre">diamonds.csv</span></code> dataset:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>carat,cut,color,clarity,depth,table,price,x,y,z
+0.23,Ideal,E,SI2,61.5,55,326,3.95,3.98,2.43
+0.21,Premium,E,SI1,59.8,61,326,3.89,3.84,2.31
+0.23,Good,E,VS1,56.9,65,327,4.05,4.07,2.31
+0.29,Premium,I,VS2,62.4,58,334,4.2,4.23,2.63
+0.31,Good,J,SI2,63.3,58,335,4.34,4.35,2.75
+</pre></div>
+</div>
+<p>However, the delimiter can be any character. Additionally, a <code class="docutils literal notranslate"><span class="pre">quotechar</span></code>, commonly <code class="docutils literal notranslate"><span class="pre">"</span></code>, can be specified which allows a delimiter to be contained within a column value. E.g. from the <code class="docutils literal notranslate"><span class="pre">blogposts.csv</span></code> dataset:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>Blog Post,Date,Subject,Field
+"Monty Hall, meet Game Theory",4/13/2014,Statistics,Mathematics
+Gaussian Quadrature,4/13/2014,Algorithms,Mathematics
+</pre></div>
+</div>
+<p>Notice how <code class="docutils literal notranslate"><span class="pre">"Monty</span> <span class="pre">Hall,</span> <span class="pre">meet</span> <span class="pre">Game</span> <span class="pre">Theory"</span></code> is contained by the quotechar because it contains the delimiter value <code class="docutils literal notranslate"><span class="pre">,</span></code>.</p>
+<p>These delimiter dataset parameters (and more) can be automatically determined by the <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> data reader, however they can also be set via the options as demonstrated later in this tutorial.</p>
+</section>
+<section id="Intro-to-the-CSVData-data-reader">
+<h2>Intro to the <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> data reader<a class="headerlink" href="#Intro-to-the-CSVData-data-reader" title="Permalink to this headline">¶</a></h2>
+<p>Previously, it was shown that <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> may automatically be detected using <code class="docutils literal notranslate"><span class="pre">Data</span></code> or can be manually specified by the user:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.data_readers.csv_data</span> <span class="kn">import</span> <span class="n">CSVData</span>
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">CSVData</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># use data reader to read delimited data</span>
+<span class="n">data_folder</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data"</span>
+<span class="n">csv_files</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">"csv/diamonds.csv"</span><span class="p">,</span>
+    <span class="s2">"csv/all-strings-skip-header-author.csv"</span><span class="p">,</span> <span class="c1"># csv files with the author/description on the first line</span>
+    <span class="s2">"csv/sparse-first-and-last-column-empty-first-row.txt"</span><span class="p">,</span> <span class="c1"># csv file with the .txt extension</span>
+<span class="p">]</span>
+
+<span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">csv_files</span><span class="p">:</span>
+    <span class="n">data</span> <span class="o">=</span> <span class="n">CSVData</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_folder</span><span class="p">,</span> <span class="n">file</span><span class="p">))</span>
+    <span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">())</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s1">'='</span> <span class="o">*</span> <span class="mi">80</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="CSVData-Options">
+<h2>CSVData Options<a class="headerlink" href="#CSVData-Options" title="Permalink to this headline">¶</a></h2>
+<p>As mentioned preivously, <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> has options that can be set to finetune its detection or to ensure the data is being read in a specific manner. The options for <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> are detailed below:</p>
+<ul class="simple">
+<li><p>delimiter - delimiter used to decipher the csv input file</p></li>
+<li><p>quotechar - quote character used in the delimited file</p></li>
+<li><p>header - location of the header in the file.</p></li>
+<li><p>data_format - user selected format in which to return data can only be of specified types</p></li>
+<li><p>selected_columns - columns being selected from the entire dataset</p></li>
+</ul>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># options are set via a dictionary object in which the parameters are specified.</span>
+<span class="c1"># these are the default values for each option</span>
+<span class="n">options</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s2">"delimiter"</span><span class="p">:</span> <span class="s2">","</span><span class="p">,</span>
+    <span class="s2">"quotechar"</span><span class="p">:</span> <span class="s1">'"'</span><span class="p">,</span>
+    <span class="s2">"header"</span><span class="p">:</span> <span class="s1">'auto'</span><span class="p">,</span>
+    <span class="s2">"data_format"</span><span class="p">:</span> <span class="s2">"dataframe"</span><span class="p">,</span>  <span class="c1"># type: str, choices: "dataframe", "records"</span>
+    <span class="s2">"selected_columns"</span><span class="p">:</span> <span class="nb">list</span><span class="p">(),</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Options:-delimiter-and-quotechar">
+<h2>Options: delimiter and quotechar<a class="headerlink" href="#Options:-delimiter-and-quotechar" title="Permalink to this headline">¶</a></h2>
+<p>Below, both the auto detection and use of options will be illustrated for <code class="docutils literal notranslate"><span class="pre">delimiter</span></code> and <code class="docutils literal notranslate"><span class="pre">quotechar</span></code>.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># display the data we are reading</span>
+<span class="n">filepath</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data/csv/daily-activity-sheet-@-singlequote.csv"</span>
+<span class="n">num_lines</span> <span class="o">=</span> <span class="mi">10</span>
+<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span> <span class="k">as</span> <span class="n">fp</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s1">''</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">fp</span><span class="o">.</span><span class="n">readlines</span><span class="p">()[:</span><span class="n">num_lines</span><span class="p">]))</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>  <span class="c1"># or use CSVData</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'Auto detected'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'='</span> <span class="o">*</span> <span class="mi">80</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'delimiter: '</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">delimiter</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'quotechar: '</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">quotechar</span><span class="p">)</span>
+<span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">options</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'delimiter'</span><span class="p">:</span> <span class="s1">'@'</span><span class="p">,</span> <span class="s1">'quotechar'</span><span class="p">:</span> <span class="s2">"'"</span><span class="p">}</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">filepath</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">options</span><span class="p">)</span>  <span class="c1"># or use CSVData</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'manually set'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'='</span> <span class="o">*</span> <span class="mi">80</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'delimiter: '</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">delimiter</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'quotechar: '</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">quotechar</span><span class="p">)</span>
+<span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># intentional failure with incorrect options</span>
+<span class="n">options</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'delimiter'</span><span class="p">:</span> <span class="s1">','</span><span class="p">,</span> <span class="s1">'quotechar'</span><span class="p">:</span> <span class="s1">'"'</span><span class="p">}</span>
+
+<span class="c1"># will be interepted as TextData because the delimtier and quotechar were incorrect</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">filepath</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">options</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'intentional faliure set'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'='</span> <span class="o">*</span> <span class="mi">80</span><span class="p">)</span>
+<span class="k">try</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s1">'delimiter: '</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">delimiter</span><span class="p">)</span>  <span class="c1"># attribute error raised here, bc TextData, not CSVData</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s1">'quotechar: '</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">quotechar</span><span class="p">)</span>
+
+    <span class="c1"># should not reach this or something went wrong</span>
+    <span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span><span class="s1">'Should have failed because this is detected as TextData.'</span><span class="p">)</span>
+<span class="k">except</span> <span class="ne">AttributeError</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s1">'When data_type is not set or the CSVData is not set, it will fail over to the</span><span class="se">\n</span><span class="s1">'</span>
+          <span class="s1">'next best reader. In this case it is "TextData"</span><span class="se">\n</span><span class="s1">'</span><span class="p">)</span>
+<span class="n">data</span><span class="o">.</span><span class="n">data</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Options:-header">
+<h2>Options: header<a class="headerlink" href="#Options:-header" title="Permalink to this headline">¶</a></h2>
+<p>Below, both the auto detection and use of options will be illustrated for <code class="docutils literal notranslate"><span class="pre">header</span></code>.</p>
+<p>Notice how in the manually set mechanism, we are intentionally setting the header incorrectly to illustrate what happens.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># display the data we are reading</span>
+<span class="n">filepath</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data/csv/sparse-first-and-last-column-header-and-author-description.txt"</span>
+<span class="n">num_lines</span> <span class="o">=</span> <span class="mi">10</span>
+<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span> <span class="k">as</span> <span class="n">fp</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s1">''</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">fp</span><span class="o">.</span><span class="n">readlines</span><span class="p">()[:</span><span class="n">num_lines</span><span class="p">]))</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">options</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'header'</span><span class="p">:</span> <span class="s1">'auto'</span><span class="p">}</span>  <span class="c1"># auto detected (default value)</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">filepath</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">options</span><span class="p">)</span>  <span class="c1"># or use CSVData</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'Data Header:'</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">header</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'='</span> <span class="o">*</span> <span class="mi">80</span><span class="p">)</span>
+<span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">options</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'header'</span><span class="p">:</span> <span class="mi">2</span><span class="p">}</span>  <span class="c1"># intentionally set incorrectly at value 2</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">filepath</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">options</span><span class="p">)</span>  <span class="c1"># or use CSVData</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'Data Header:'</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">header</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'='</span> <span class="o">*</span> <span class="mi">80</span><span class="p">)</span>
+<span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Options:-data_format">
+<h2>Options: data_format<a class="headerlink" href="#Options:-data_format" title="Permalink to this headline">¶</a></h2>
+<p>For CSVData, the <code class="docutils literal notranslate"><span class="pre">data_format</span></code> option can have the following values:</p>
+<ul class="simple">
+<li><p>dataframe - (default) loads the dataset as a pandas.DataFrame</p></li>
+<li><p>records - loads the data as rows of text values, the extra parameter <code class="docutils literal notranslate"><span class="pre">record_samples_per_line</span></code> how many rows are combined into a single line</p></li>
+</ul>
+<p><code class="docutils literal notranslate"><span class="pre">dataframe</span></code> is used for conducting <strong>structured profiling</strong> of the dataset while <code class="docutils literal notranslate"><span class="pre">records</span></code> is for <strong>unstructured profiling</strong>.</p>
+<p>Below, both the auto detection and use of options will be illustrated for <code class="docutils literal notranslate"><span class="pre">data_format</span></code>.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># display the data we are reading</span>
+<span class="n">filepath</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data/csv/diamonds.csv"</span>
+<span class="n">num_lines</span> <span class="o">=</span> <span class="mi">10</span>
+<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span> <span class="k">as</span> <span class="n">fp</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s1">''</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">fp</span><span class="o">.</span><span class="n">readlines</span><span class="p">()[:</span><span class="n">num_lines</span><span class="p">]))</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">options</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'data_format'</span><span class="p">:</span> <span class="s1">'dataframe'</span><span class="p">}</span>  <span class="c1"># default</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">filepath</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">options</span><span class="p">)</span>  <span class="c1"># or use CSVData</span>
+<span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="p">[:</span><span class="mi">5</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">options</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'data_format'</span><span class="p">:</span> <span class="s1">'records'</span><span class="p">,</span> <span class="s1">'record_samples_per_line'</span><span class="p">:</span> <span class="mi">1</span><span class="p">}</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">filepath</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">options</span><span class="p">)</span>
+<span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="p">[:</span><span class="mi">5</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Options:-selected-columns">
+<h2>Options: selected columns<a class="headerlink" href="#Options:-selected-columns" title="Permalink to this headline">¶</a></h2>
+<p>By default, all columns of a dataset will be read and loaded into the data reader. However, <code class="docutils literal notranslate"><span class="pre">selected_columns</span></code> can be set to only load columns which the user requests.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># display the data we are reading</span>
+<span class="n">filepath</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv"</span>
+<span class="n">num_lines</span> <span class="o">=</span> <span class="mi">10</span>
+<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span> <span class="k">as</span> <span class="n">fp</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s1">''</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">fp</span><span class="o">.</span><span class="n">readlines</span><span class="p">()[:</span><span class="n">num_lines</span><span class="p">]))</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">options</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'selected_columns'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'datetime'</span><span class="p">,</span> <span class="s1">'host'</span><span class="p">,</span> <span class="s1">'src'</span><span class="p">,</span> <span class="s1">'proto'</span><span class="p">]}</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">filepath</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">options</span><span class="p">)</span>
+<span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Intro-to-GraphData-data-reader">
+<h2>Intro to <code class="docutils literal notranslate"><span class="pre">GraphData</span></code> data reader<a class="headerlink" href="#Intro-to-GraphData-data-reader" title="Permalink to this headline">¶</a></h2>
+<p>This tutorial will focus on how to use the data reader class: <code class="docutils literal notranslate"><span class="pre">GraphData</span></code>. The <code class="docutils literal notranslate"><span class="pre">GraphData</span></code> class is used for reading the delimited data from a CSV file into a <code class="docutils literal notranslate"><span class="pre">NetworkX</span></code> Graph object. This is all in an effort to prepare the data automaticaly for <code class="docutils literal notranslate"><span class="pre">GraphProfiler</span></code> class to then profile graph data.</p>
+<p>The DataProiler keys off of common graph naming conventions in the column header row. E.G. from <code class="docutils literal notranslate"><span class="pre">dataprofiler/tests/csv/graph_data_csv_identify.csv</span></code></p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>node_id_dst, node_id_src, continuous_weight, categorical_status
+108,289,7.4448069,9
+81,180,3.65064207,0
+458,83,5.9959787,10
+55,116,4.63359209,79
+454,177,5.76715529,11
+429,225,4.79556889,3
+</pre></div>
+</div>
+<p>Options for the <code class="docutils literal notranslate"><span class="pre">GraphData</span></code> are exactly the same as <code class="docutils literal notranslate"><span class="pre">CSVData</span></code>.</p>
+<p>Example implementation of <code class="docutils literal notranslate"><span class="pre">GraphData</span></code>:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.data_readers.graph_data</span> <span class="kn">import</span> <span class="n">GraphData</span>
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">graph_file</span><span class="p">)</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">GraphData</span><span class="p">(</span><span class="n">graph_file</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">from</span> <span class="nn">dataprofiler.data_readers.graph_data</span> <span class="kn">import</span> <span class="n">GraphData</span>
+
+<span class="c1"># use data reader to read delimited data</span>
+<span class="n">data_folder</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data"</span>
+<span class="n">graph_file</span> <span class="o">=</span> <span class="s2">"csv/graph_data_csv_identify.csv"</span>
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">GraphData</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_folder</span><span class="p">,</span> <span class="n">graph_file</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">edges</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'='</span> <span class="o">*</span> <span class="mi">80</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="profiler_example.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Structured Profilers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="overview.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data Profiler - What’s in your data?</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/data_reader.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Intro to Data Readers</a><ul>
+<li><a class="reference internal" href="#Automatically-reading-and-detecting-data">Automatically reading and detecting data</a></li>
+<li><a class="reference internal" href="#Specifying-detection-options-of-Data-and-loading-pandas.DataFrame">Specifying detection options of <code class="docutils literal notranslate"><span class="pre">Data</span></code> and loading <code class="docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></li>
+<li><a class="reference internal" href="#Accessing-data-and-attributes">Accessing data and attributes</a></li>
+<li><a class="reference internal" href="#Checking-data-file-types-with-is_match">Checking data file types with <code class="docutils literal notranslate"><span class="pre">is_match</span></code></a></li>
+<li><a class="reference internal" href="#Reloading-data-after-altering-options-with-reload">Reloading data after altering options with <code class="docutils literal notranslate"><span class="pre">reload</span></code></a></li>
+<li><a class="reference internal" href="#A-deeper-dive-into-CSVData">A deeper dive into <code class="docutils literal notranslate"><span class="pre">CSVData</span></code></a></li>
+<li><a class="reference internal" href="#Intro-to-the-CSVData-data-reader">Intro to the <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> data reader</a></li>
+<li><a class="reference internal" href="#CSVData-Options">CSVData Options</a></li>
+<li><a class="reference internal" href="#Options:-delimiter-and-quotechar">Options: delimiter and quotechar</a></li>
+<li><a class="reference internal" href="#Options:-header">Options: header</a></li>
+<li><a class="reference internal" href="#Options:-data_format">Options: data_format</a></li>
+<li><a class="reference internal" href="#Options:-selected-columns">Options: selected columns</a></li>
+<li><a class="reference internal" href="#Intro-to-GraphData-data-reader">Intro to <code class="docutils literal notranslate"><span class="pre">GraphData</span></code> data reader</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/data_reader.ipynb b/docs/0.10.5/html/data_reader.ipynb
new file mode 100644
index 000000000..d2ce887e6
--- /dev/null
+++ b/docs/0.10.5/html/data_reader.ipynb
@@ -0,0 +1,689 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d4d79832-59ab-410a-ad6d-fbba01a3f0d3",
+   "metadata": {},
+   "source": [
+    "# Intro to Data Readers\n",
+    "Within the Data Profiler, there are 5 data reader classes:\n",
+    "\n",
+    "  * CSVData (delimited data: CSV, TSV, etc.)\n",
+    "  * JSONData\n",
+    "  * ParquetData\n",
+    "  * AVROData\n",
+    "  * GraphData\n",
+    "  * TextData\n",
+    "  \n",
+    "Each of these classes can be used to read data individually, however the Data Profiler provides the unique capability of auto detecting what data you have and reading it automatically by using the `Data` class.\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "data = dp.Data('/path/to/mydata.abc')  # auto detects and reads your data\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2315666-20be-4937-9f9a-26d42dc135e2",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Automatically reading and detecting data\n",
+    "\n",
+    "Below is a demonstration of utilizing the `Data` class which automatically detects the type of data for a given file and reads it automatically."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "99e61c6c-43b8-4700-b627-759b5ef8bdda",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8821ad8d-b2c0-489c-ae6a-54c11b7f0a08",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data with different file types\n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "csv_files = [\n",
+    "    \"csv/aws_honeypot_marx_geo.csv\",\n",
+    "    \"csv/all-strings-skip-header-author.csv\", # csv files with the author/description on the first line\n",
+    "    \"csv/sparse-first-and-last-column-empty-first-row.txt\", # csv file with the .txt extension\n",
+    "]\n",
+    "json_files = [\n",
+    "    \"json/complex_nested.json\",\n",
+    "    \"json/honeypot_intentially_mislabeled_file.csv\", # json file with the .csv extension\n",
+    "]\n",
+    "parquet_files = [\n",
+    "    \"parquet/nation.dict.parquet\",\n",
+    "    \"parquet/nation.plain.intentionally_mislabled_file.csv\", # parquet file with the .csv extension\n",
+    "]\n",
+    "avro_files = [\n",
+    "    \"avro/userdata1.avro\",\n",
+    "    \"avro/userdata1_intentionally_mislabled_file.json\", # avro file with the .json extension\n",
+    "]\n",
+    "graph_files = [\n",
+    "    \"csv/graph_data_csv_identify.csv\", # csv file with graph column names\n",
+    "]\n",
+    "text_files = [\n",
+    "    \"txt/discussion_reddit.txt\",\n",
+    "]\n",
+    "all_files = csv_files + json_files + parquet_files + avro_files + graph_files + text_files\n",
+    "print('filepath' + ' ' * 58 + 'data type')\n",
+    "print('='*80)\n",
+    "for file in all_files:\n",
+    "    filepath = os.path.join(data_folder, file)\n",
+    "    data = dp.Data(filepath)\n",
+    "    print(\"{:<65} {:<15}\".format(file, data.data_type))\n",
+    "print(\"\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "49dfc981-59fd-48a5-ad7b-e01f0a52d0b2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# importing from a url\n",
+    "data = dp.Data('https://raw.githubusercontent.com/capitalone/DataProfiler/main/dataprofiler/tests/data/csv/diamonds.csv')\n",
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "77f8ef2d-5aaf-44d6-b6d1-bf14f7eb7aa6",
+   "metadata": {},
+   "source": [
+    "## Specifying detection options of `Data` and loading `pandas.DataFrame`\n",
+    "\n",
+    "The `Data` class also gives the ability to set options or if the user wants to load their data with specific requirements.\n",
+    "Options for each data reader are specified in the docs: https://capitalone.github.io/DataProfiler/docs/0.4.4/html/dataprofiler.data_readers.html\n",
+    "\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "\n",
+    "options = {...}  # allowed options are specified for each data reader.\n",
+    "data = dp.Data(data, options=options)\n",
+    "```\n",
+    "Later in this tutorial, the options for the CSVData class will be discussed.\n",
+    "\n",
+    "Additionally, a user can directly load a `pandas.DataFrame` as any data reader they choose."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4b925d4e-ca94-4913-9acf-26a883585e85",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "\n",
+    "\n",
+    "df = pd.DataFrame(['my', 'random', 'data'])\n",
+    "\n",
+    "# specify via the `Data` class\n",
+    "data = dp.Data(data=df, data_type='csv')\n",
+    "print('Data Type: ', data.data_type)\n",
+    "\n",
+    "# specifically use the CSVData class\n",
+    "data = CSVData(data=df)\n",
+    "print('Data Type: ', data.data_type)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "52c3c3ac-c241-4d91-8ac7-b3d28ffd19c3",
+   "metadata": {},
+   "source": [
+    "## Accessing data and attributes\n",
+    "\n",
+    "Once loaded, the data can be accessed via the `data` property of the object. Additional information about the data loaded may differ between data readers.\n",
+    "\n",
+    "For this example we will focus on `CSVData`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "09fa5929-e710-4107-9313-1370ab639c9c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filepath = \"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\"\n",
+    "data = dp.Data(filepath)\n",
+    "print('Data Type: ', data.data_type)\n",
+    "print('Data Filepath: ', data.input_file_path)\n",
+    "print('File Encoding: ', data.file_encoding)\n",
+    "print('Data Length (two techniques): ', len(data), data.length)\n",
+    "print(\"Data Access:\")\n",
+    "data.data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b98be971-4768-479d-9e54-00f05a6fb790",
+   "metadata": {},
+   "source": [
+    "## Checking data file types with `is_match`\n",
+    "\n",
+    "Each data reader has a class method `is_match` which determines whether or not a dataset is of a given data type.\n",
+    "```python\n",
+    "CSVData.is_match\n",
+    "JSONData.is_match\n",
+    "ParquetData.is_match\n",
+    "AVROData.is_match\n",
+    "GraphData.is_match\n",
+    "TextData.is_match\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "104a32c1-1d50-4aa5-94ce-b2e72de38476",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# supplemental function\n",
+    "def add_true_false_color(value):\n",
+    "    \"\"\"Converts True to green and False to red in printed text.\"\"\"\n",
+    "    if value:\n",
+    "        return \"\\x1b[92m  \" + str(is_match) + \"\\x1b[0m\"\n",
+    "    return \"\\x1b[31m \" + str(is_match) + \"\\x1b[0m\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "06868d90-2726-4096-a6da-3866174e6671",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "\n",
+    "\n",
+    "non_csv_files = [\n",
+    "    'json/iris-utf-8.json',\n",
+    "    'json/honeypot_intentially_mislabeled_file.csv',\n",
+    "    'parquet/titanic.parq',\n",
+    "    'parquet/nation.plain.intentionally_mislabled_file.csv',\n",
+    "    'txt/code.txt',\n",
+    "    'txt/sentence.txt',\n",
+    "    'avro/users.avro',\n",
+    "    'avro/snappy_compressed_intentionally_mislabeled_file.csv',\n",
+    "]\n",
+    "\n",
+    "print(\"Is the file a CSV?\")\n",
+    "print('=' * 80)\n",
+    "for file in csv_files:\n",
+    "    filepath = os.path.join(data_folder, file)\n",
+    "    is_match = CSVData.is_match(filepath)\n",
+    "    print(add_true_false_color(is_match), ':', file)\n",
+    "    print('=' * 80)\n",
+    "    \n",
+    "for file in non_csv_files:\n",
+    "    filepath = os.path.join(data_folder, file)\n",
+    "    is_match = CSVData.is_match(filepath)\n",
+    "    print(add_true_false_color(is_match), ':', file)\n",
+    "    print('=' * 80)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "38889990-8e19-4114-a4f3-dc2af938e29d",
+   "metadata": {},
+   "source": [
+    "## Reloading data after altering options with `reload`\n",
+    "\n",
+    "There are two cases for using the reload function, both of which require the data type to have been interpreted correctly:\n",
+    "\n",
+    "    1. The options were not correctly determined\n",
+    "    2. The options were loaded correctly but a change is desired.\n",
+    "    \n",
+    "In the example below, the `data_format` for reading the data is changed and the data is then reloaded."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "01870e8d-45ee-4f33-a088-4453c7ffc7c2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filepath = \"../dataprofiler/tests/data/csv/diamonds.csv\"\n",
+    "\n",
+    "data = dp.Data(filepath)\n",
+    "print('original data:')\n",
+    "print('=' * 80)\n",
+    "print(data.data[:5])\n",
+    "\n",
+    "print()\n",
+    "data.reload(options={'data_format': 'records', 'record_samples_per_line': 1})\n",
+    "print('reloaded data:')\n",
+    "print('=' * 80)\n",
+    "data.data[:5]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2285f19-9b34-4484-beaa-79df890b2825",
+   "metadata": {},
+   "source": [
+    "## A deeper dive into `CSVData`\n",
+    "\n",
+    "This next section will focus on how to use the data reader class: `CSVData`. The `CSVData` class is used for reading delimited data. Delimited data are datasets which have their columns specified by a specific character, commonly the `,`. E.g. from the `diamonds.csv` dataset:\n",
+    "```\n",
+    "carat,cut,color,clarity,depth,table,price,x,y,z\n",
+    "0.23,Ideal,E,SI2,61.5,55,326,3.95,3.98,2.43\n",
+    "0.21,Premium,E,SI1,59.8,61,326,3.89,3.84,2.31\n",
+    "0.23,Good,E,VS1,56.9,65,327,4.05,4.07,2.31\n",
+    "0.29,Premium,I,VS2,62.4,58,334,4.2,4.23,2.63\n",
+    "0.31,Good,J,SI2,63.3,58,335,4.34,4.35,2.75\n",
+    "```\n",
+    "\n",
+    "However, the delimiter can be any character. Additionally, a `quotechar`, commonly `\"`, can be specified which allows a delimiter to be contained within a column value.\n",
+    "E.g. from the `blogposts.csv` dataset:\n",
+    "```\n",
+    "Blog Post,Date,Subject,Field\n",
+    "\"Monty Hall, meet Game Theory\",4/13/2014,Statistics,Mathematics\n",
+    "Gaussian Quadrature,4/13/2014,Algorithms,Mathematics\n",
+    "```\n",
+    "Notice how `\"Monty Hall, meet Game Theory\"` is contained by the quotechar because it contains the delimiter value `,`.\n",
+    "\n",
+    "These delimiter dataset parameters (and more) can be automatically determined by the `CSVData` data reader, however they can also be set via the options as demonstrated later in this tutorial."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cccb6bf9-7fb8-46b8-992e-9caacb7ab3a8",
+   "metadata": {},
+   "source": [
+    "## Intro to the `CSVData` data reader\n",
+    "\n",
+    "Previously, it was shown that `CSVData` may automatically be detected using `Data` or can be manually specified by the user:\n",
+    "\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "\n",
+    "data = dp.Data(filepath)\n",
+    "data = CSVData(filepath)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e25f5130-4f19-40c5-9d13-549a04f1aef5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read delimited data \n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "csv_files = [\n",
+    "    \"csv/diamonds.csv\",\n",
+    "    \"csv/all-strings-skip-header-author.csv\", # csv files with the author/description on the first line\n",
+    "    \"csv/sparse-first-and-last-column-empty-first-row.txt\", # csv file with the .txt extension\n",
+    "]\n",
+    "\n",
+    "for file in csv_files:\n",
+    "    data = CSVData(os.path.join(data_folder, file))\n",
+    "    print(data.data.head())\n",
+    "    print('=' * 80)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8940de56-1417-4bf6-af87-9d4d00b9a631",
+   "metadata": {},
+   "source": [
+    "## CSVData Options\n",
+    "\n",
+    "As mentioned preivously, `CSVData` has options that can be set to finetune its detection or to ensure the data is being read in a specific manner.\n",
+    "The options for `CSVData` are detailed below:\n",
+    "\n",
+    "  * delimiter - delimiter used to decipher the csv input file\n",
+    "  * quotechar - quote character used in the delimited file\n",
+    "  * header - location of the header in the file.\n",
+    "  * data_format - user selected format in which to return data can only be of specified types\n",
+    "  * selected_columns - columns being selected from the entire dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3d74f2e8-0ec3-4e93-8778-0a5f013e0cdb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# options are set via a dictionary object in which the parameters are specified.\n",
+    "# these are the default values for each option\n",
+    "options = {\n",
+    "    \"delimiter\": \",\",\n",
+    "    \"quotechar\": '\"',\n",
+    "    \"header\": 'auto',\n",
+    "    \"data_format\": \"dataframe\",  # type: str, choices: \"dataframe\", \"records\"\n",
+    "    \"selected_columns\": list(),\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9af108a1-ffe6-4c3a-82cc-833b1a3b57a1",
+   "metadata": {},
+   "source": [
+    "## Options: delimiter and quotechar\n",
+    "\n",
+    "Below, both the auto detection and use of options will be illustrated for `delimiter` and `quotechar`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "570e20c3-198e-4356-98d3-92eb9655ef4e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/daily-activity-sheet-@-singlequote.csv\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "98385148-861e-4eb1-ba8d-e93120515401",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = dp.Data(filepath)  # or use CSVData\n",
+    "print('Auto detected')\n",
+    "print('=' * 80)\n",
+    "print('delimiter: ', data.delimiter)\n",
+    "print('quotechar: ', data.quotechar)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7f5d9306-d90a-4fc6-85a7-a0d535fe2d80",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'delimiter': '@', 'quotechar': \"'\"}\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "print('manually set')\n",
+    "print('=' * 80)\n",
+    "print('delimiter: ', data.delimiter)\n",
+    "print('quotechar: ', data.quotechar)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b7bfa60f-b5b9-48a5-adc5-3937aed145da",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# intentional failure with incorrect options\n",
+    "options = {'delimiter': ',', 'quotechar': '\"'}\n",
+    "\n",
+    "# will be interepted as TextData because the delimtier and quotechar were incorrect\n",
+    "data = dp.Data(filepath, options=options)\n",
+    "print('intentional faliure set')\n",
+    "print('=' * 80)\n",
+    "try:\n",
+    "    print('delimiter: ', data.delimiter)  # attribute error raised here, bc TextData, not CSVData\n",
+    "    print('quotechar: ', data.quotechar)\n",
+    "    \n",
+    "    # should not reach this or something went wrong\n",
+    "    raise Exception('Should have failed because this is detected as TextData.')\n",
+    "except AttributeError:\n",
+    "    print('When data_type is not set or the CSVData is not set, it will fail over to the\\n'\n",
+    "          'next best reader. In this case it is \"TextData\"\\n')\n",
+    "data.data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eeb41c7c-8319-40a3-9d87-88edbb3c5290",
+   "metadata": {},
+   "source": [
+    "## Options: header\n",
+    "\n",
+    "Below, both the auto detection and use of options will be illustrated for `header`.\n",
+    "\n",
+    "Notice how in the manually set mechanism, we are intentionally setting the header incorrectly to illustrate what happens."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16a927ef-1ba8-4bf2-ae40-2a9909030609",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/sparse-first-and-last-column-header-and-author-description.txt\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0701d7bf-2de0-4dce-8f09-7f0cddd1132c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'header': 'auto'}  # auto detected (default value)\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "print('Data Header:', data.header)\n",
+    "print('=' * 80)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b8642a0a-367a-44c6-b611-b89d97b29f85",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'header': 2}  # intentionally set incorrectly at value 2\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "print('Data Header:', data.header)\n",
+    "print('=' * 80)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d6e3f640-c809-4eb6-9571-30065821615e",
+   "metadata": {},
+   "source": [
+    "## Options: data_format\n",
+    "\n",
+    "For CSVData, the `data_format` option can have the following values:\n",
+    "\n",
+    "  * dataframe - (default) loads the dataset as a pandas.DataFrame\n",
+    "  * records   - loads the data as rows of text values, the extra parameter `record_samples_per_line` how many rows are combined into a single line\n",
+    "  \n",
+    "`dataframe` is used for conducting **structured profiling** of the dataset while `records` is for **unstructured profiling**.\n",
+    "\n",
+    "Below, both the auto detection and use of options will be illustrated for `data_format`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "146109ea-a554-4766-bb19-78c116d2a8dd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/diamonds.csv\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dceac967-d326-4064-ba1c-87a1146c9d72",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'data_format': 'dataframe'}  # default\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "data.data[:5]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2c25524f-ef23-4e06-9023-842c64c2640e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'data_format': 'records', 'record_samples_per_line': 1}\n",
+    "data = dp.Data(filepath, options=options)\n",
+    "data.data[:5]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d45f3ed6-ddcd-4bf3-95bc-09f23eb94c97",
+   "metadata": {},
+   "source": [
+    "## Options: selected columns\n",
+    "\n",
+    "By default, all columns of a dataset will be read and loaded into the data reader. However, `selected_columns` can be set to only load columns which the user requests."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c9b45e18-93c6-42e6-b978-af51574307eb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "018f3f4d-32ac-411a-9918-bae78aff0b0e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'selected_columns': ['datetime', 'host', 'src', 'proto']}\n",
+    "data = dp.Data(filepath, options=options)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b50679ea",
+   "metadata": {},
+   "source": [
+    "## Intro to `GraphData` data reader\n",
+    "\n",
+    "This tutorial will focus on how to use the data reader class: `GraphData`. The `GraphData` class is used for reading the delimited data from a CSV file into a `NetworkX` Graph object. This is all in an effort to prepare the data automaticaly for `GraphProfiler` class to then profile graph data. \n",
+    "\n",
+    "The DataProiler keys off of common graph naming conventions in the column header row. E.G. from `dataprofiler/tests/csv/graph_data_csv_identify.csv`\n",
+    "```\n",
+    "node_id_dst, node_id_src, continuous_weight, categorical_status\n",
+    "108,289,7.4448069,9\n",
+    "81,180,3.65064207,0\n",
+    "458,83,5.9959787,10\n",
+    "55,116,4.63359209,79\n",
+    "454,177,5.76715529,11\n",
+    "429,225,4.79556889,3\n",
+    "```\n",
+    "\n",
+    "Options for the `GraphData` are exactly the same as `CSVData`.\n",
+    "\n",
+    "\n",
+    "Example implementation of `GraphData`:\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "from dataprofiler.data_readers.graph_data import GraphData\n",
+    "\n",
+    "data = dp.Data(graph_file)\n",
+    "data = GraphData(graph_file)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "838db976",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dataprofiler.data_readers.graph_data import GraphData\n",
+    "\n",
+    "# use data reader to read delimited data \n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "graph_file = \"csv/graph_data_csv_identify.csv\"\n",
+    "\n",
+    "data = GraphData(os.path.join(data_folder, graph_file))\n",
+    "print(data.data.edges)\n",
+    "print('=' * 80)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/html/data_readers.html b/docs/0.10.5/html/data_readers.html
new file mode 100644
index 000000000..4b0265771
--- /dev/null
+++ b/docs/0.10.5/html/data_readers.html
@@ -0,0 +1,453 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Profiler" href="profiler.html" /><link rel="prev" title="Install" href="install.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data Readers - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="data-readers">
+<span id="id1"></span><h1>Data Readers<a class="headerlink" href="#data-readers" title="Permalink to this headline">¶</a></h1>
+<p>The <cite>Data</cite> class itself will identify then output one of the following <cite>Data</cite> class types.
+Using the data reader is easy, just pass it through the Data object.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>The supported file types are:</p>
+<ul class="simple">
+<li><p>CSV file (or any delimited file)</p></li>
+<li><p>JSON object</p></li>
+<li><p>Avro file</p></li>
+<li><p>Parquet file</p></li>
+<li><p>Graph data file</p></li>
+<li><p>Text file</p></li>
+<li><p>Pandas DataFrame</p></li>
+<li><p>A URL that points to one of the supported file types above</p></li>
+</ul>
+<p>It’s also possible to specifically call one of the data classes such as the following command:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">dataprofiler.data_readers.csv_data</span> <span class="kn">import</span> <span class="n">CSVData</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">CSVData</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="p">{</span><span class="s2">"delimiter"</span><span class="p">:</span> <span class="s2">","</span><span class="p">})</span>
+</pre></div>
+</div>
+<p>Additionally any of the data classes can be loaded using a URL:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"https://you_website.com/your_file.file"</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="p">{</span><span class="s2">"verify_ssl"</span><span class="p">:</span> <span class="s2">"True"</span><span class="p">})</span>
+</pre></div>
+</div>
+<p>Below are descriptions of the various <cite>Data</cite> classes and the available options.</p>
+<section id="csvdata">
+<h2>CSVData<a class="headerlink" href="#csvdata" title="Permalink to this headline">¶</a></h2>
+<p>Data class for loading datasets of type CSV. Can be specified by passing
+in memory data or via a file path. Options pertaining the CSV may also
+be specified using the options dict parameter.</p>
+<p><cite>CSVData(input_file_path=None, data=None, options=None)</cite></p>
+<p>Possible <cite>options</cite>:</p>
+<ul class="simple">
+<li><p>delimiter - Must be a string, for example <cite>“delimiter”: “,”</cite></p></li>
+<li><p>data_format - Must be a string, possible choices: “dataframe”, “records”</p></li>
+<li><p>selected_columns - Columns being selected from the entire dataset, must be a
+list <cite>[“column 1”, “ssn”]</cite></p></li>
+<li><p>sample_nrows - Reservoir sampling to sample <cite>“n”</cite> rows out of a total of <cite>“M”</cite> rows.
+Specified for how many rows to sample, default None.</p></li>
+<li><p>header - Define the header, for example</p>
+<ul>
+<li><p><cite>“header”: ‘auto’</cite> for auto detection</p></li>
+<li><p><cite>“header”: None</cite> for no header</p></li>
+<li><p><cite>“header”: &lt;INT&gt;</cite> to specify the header row (0 based index)</p></li>
+</ul>
+</li>
+</ul>
+</section>
+<section id="jsondata">
+<h2>JSONData<a class="headerlink" href="#jsondata" title="Permalink to this headline">¶</a></h2>
+<p>Data class for loading datasets of type JSON. Can be specified by
+passing in memory data or via a file path. Options pertaining the JSON
+may also be specified using the options dict parameter. JSON data can be
+accessed via the “data” property, the “metadata” property, and the
+“data_and_metadata” property.</p>
+<p><cite>JSONData(input_file_path=None, data=None, options=None)</cite></p>
+<p>Possible <cite>options</cite>:</p>
+<ul class="simple">
+<li><p>data_format - must be a string, choices: “dataframe”, “records”, “json”, “flattened_dataframe”</p>
+<ul>
+<li><p>“flattened_dataframe” is best used for JSON structure typically found in data streams that contain
+nested lists of dictionaries and a payload. For example: <cite>{“data”: [ columns ], “response”: 200}</cite></p></li>
+</ul>
+</li>
+<li><p>selected_keys - columns being selected from the entire dataset, must be a list <cite>[“column 1”, “ssn”]</cite></p></li>
+<li><p>payload_keys - The dictionary keys for the payload of the JSON, typically called “data”
+or “payload”. Defaults to [“data”, “payload”, “response”].</p></li>
+</ul>
+</section>
+<section id="avrodata">
+<h2>AVROData<a class="headerlink" href="#avrodata" title="Permalink to this headline">¶</a></h2>
+<p>Data class for loading datasets of type AVRO. Can be specified by
+passing in memory data or via a file path. Options pertaining the AVRO
+may also be specified using the options dict parameter.</p>
+<p><cite>AVROData(input_file_path=None, data=None, options=None)</cite></p>
+<p>Possible <cite>options</cite>:</p>
+<ul class="simple">
+<li><p>data_format - must be a string, choices: “dataframe”, “records”, “avro”, “json”, “flattened_dataframe”</p>
+<ul>
+<li><p>“flattened_dataframe” is best used for AVROs with a JSON structure typically found in data streams that contain
+nested lists of dictionaries and a payload. For example: <cite>{“data”: [ columns ], “response”: 200}</cite></p></li>
+</ul>
+</li>
+<li><p>selected_keys - columns being selected from the entire dataset, must be a list <cite>[“column 1”, “ssn”]</cite></p></li>
+</ul>
+</section>
+<section id="parquetdata">
+<h2>ParquetData<a class="headerlink" href="#parquetdata" title="Permalink to this headline">¶</a></h2>
+<p>Data class for loading datasets of type PARQUET. Can be specified by
+passing in memory data or via a file path. Options pertaining the
+PARQUET may also be specified using the options dict parameter.</p>
+<p><cite>ParquetData(input_file_path=None, data=None, options=None)</cite></p>
+<p>Possible <cite>options</cite>:</p>
+<ul class="simple">
+<li><p>data_format - must be a string, choices: “dataframe”, “records”, “json”</p></li>
+<li><p>selected_keys - columns being selected from the entire dataset, must be a list <cite>[“column 1”, “ssn”]</cite></p></li>
+</ul>
+</section>
+<section id="graphdata">
+<h2>GraphData<a class="headerlink" href="#graphdata" title="Permalink to this headline">¶</a></h2>
+<p>Data Class for loading datasets of graph data. Currently takes CSV format,
+further type formats will be supported. Can be specified by passing
+in memory data (NetworkX Graph) or via a file path. Options pertaining the CSV file may also
+be specified using the options dict parameter. Loads data from CSV into memory
+as a NetworkX Graph.</p>
+<p><cite>GraphData(input_file_path=None, data=None, options=None)</cite></p>
+<p>Possible <cite>options</cite>:</p>
+<ul class="simple">
+<li><p>delimiter - must be a string, for example <cite>“delimiter”: “,”</cite></p></li>
+<li><p>data_format - must be a string, possible choices: “graph”, “dataframe”, “records”</p></li>
+<li><p>header - Define the header, for example</p>
+<ul>
+<li><p><cite>“header”: ‘auto’</cite> for auto detection</p></li>
+<li><p><cite>“header”: None</cite> for no header</p></li>
+<li><p><cite>“header”: &lt;INT&gt;</cite> to specify the header row (0 based index)</p></li>
+</ul>
+</li>
+</ul>
+</section>
+<section id="textdata">
+<h2>TextData<a class="headerlink" href="#textdata" title="Permalink to this headline">¶</a></h2>
+<p>Data class for loading datasets of type TEXT. Can be specified by
+passing in memory data or via a file path. Options pertaining the TEXT
+may also be specified using the options dict parameter.</p>
+<p><cite>TextData(input_file_path=None, data=None, options=None)</cite></p>
+<p>Possible <cite>options</cite>:</p>
+<ul class="simple">
+<li><p>data_format: user selected format in which to return data. Currently only supports “text”.</p></li>
+<li><p>samples_per_line - chunks by which to read in the specified dataset</p></li>
+</ul>
+</section>
+<section id="data-using-a-url">
+<h2>Data Using a URL<a class="headerlink" href="#data-using-a-url" title="Permalink to this headline">¶</a></h2>
+<p>Data class for loading datasets of any type using a URL. Specified by passing in
+any valid URL that points to one of the valid data types. Options pertaining the
+URL may also be specified using the options dict parameter.</p>
+<p><cite>Data(input_file_path=None, data=None, options=None)</cite></p>
+<p>Possible <cite>options</cite>:</p>
+<ul class="simple">
+<li><p>verify_ssl: must be a boolean string, choices: “True”, “False”. Set to “True” by default.</p></li>
+</ul>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="profiler.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Profiler</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="install.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Install</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/data_readers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Data Readers</a><ul>
+<li><a class="reference internal" href="#csvdata">CSVData</a></li>
+<li><a class="reference internal" href="#jsondata">JSONData</a></li>
+<li><a class="reference internal" href="#avrodata">AVROData</a></li>
+<li><a class="reference internal" href="#parquetdata">ParquetData</a></li>
+<li><a class="reference internal" href="#graphdata">GraphData</a></li>
+<li><a class="reference internal" href="#textdata">TextData</a></li>
+<li><a class="reference internal" href="#data-using-a-url">Data Using a URL</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.data_readers.avro_data.html b/docs/0.10.5/html/dataprofiler.data_readers.avro_data.html
new file mode 100644
index 000000000..278485d71
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.data_readers.avro_data.html
@@ -0,0 +1,410 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Base Data" href="dataprofiler.data_readers.base_data.html" /><link rel="prev" title="Data Readers" href="dataprofiler.data_readers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Avro Data - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.avro_data">
+<span id="avro-data"></span><h1>Avro Data<a class="headerlink" href="#module-dataprofiler.data_readers.avro_data" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for saving and loading spreadsheet data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.avro_data.</span></span><span class="sig-name descname"><span class="pre">AVROData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData" title="dataprofiler.data_readers.json_data.JSONData"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.json_data.JSONData</span></code></a>, <a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.base_data.BaseData</span></code></a></p>
+<p>AVROData class to save and load spreadsheet data.</p>
+<p>Initialize Data class for loading datasets of type AVRO.</p>
+<p>Can be specified by passing in memory data or via a file path.
+Options pertaining to AVRO may also be specified using options dict param.
+Possible Options:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
+    <span class="n">data_format</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">choices</span><span class="p">:</span> <span class="s2">"dataframe"</span><span class="p">,</span> <span class="s2">"records"</span><span class="p">,</span> <span class="s2">"avro"</span>
+    <span class="n">selected_keys</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+<p>data_format: user selected format can only be of specified types
+selected_keys: keys being selected from the entire dataset</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.data_type">
+<span class="sig-name descname"><span class="pre">data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'avro'</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.data_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.file_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">file_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set file encoding to None since not detected for avro.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.is_match">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.StringIO</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.BytesIO</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Test the given file to check if the file has valid AVRO format or not.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – path to the file to be examined</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – avro read options</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>is file a avro file or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.data">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.data_and_metadata">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_and_metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[pandas.core.frame.DataFrame]</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.data_and_metadata" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a data frame that joins the data and the metadata.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.data_format">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_format</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.data_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data format.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.get_batch_generator">
+<span class="sig-name descname"><span class="pre">get_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.get_batch_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get batch generator.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.info">
+<span class="sig-name descname"><span class="pre">info</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.info" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.is_structured">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_structured</span></span><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.is_structured" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine compatibility with StructuredProfiler.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.length">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">length</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.length" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the length of the dataset which is loaded.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>length of the dataset</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.metadata">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[pandas.core.frame.DataFrame]</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.metadata" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a data frame that contains the metadata.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.reload">
+<span class="sig-name descname"><span class="pre">reload</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.reload" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reload the data class with a new dataset.</p>
+<p>This erases all existing data/options and replaces it
+with the input data/options.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.selected_keys">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">selected_keys</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[List[str]]</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.selected_keys" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return selected keys.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.base_data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Base Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data Readers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.avro_data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.data_readers.base_data.html b/docs/0.10.5/html/dataprofiler.data_readers.base_data.html
new file mode 100644
index 000000000..0d5b8af01
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.data_readers.base_data.html
@@ -0,0 +1,372 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="CSV Data" href="dataprofiler.data_readers.csv_data.html" /><link rel="prev" title="Avro Data" href="dataprofiler.data_readers.avro_data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Base Data - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.base_data">
+<span id="base-data"></span><h1>Base Data<a class="headerlink" href="#module-dataprofiler.data_readers.base_data" title="Permalink to this headline">¶</a></h1>
+<p>Contains abstract class for data loading and saving.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.base_data.</span></span><span class="sig-name descname"><span class="pre">BaseData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Abstract class for data loading and saving.</p>
+<p>Initialize Base class for loading a dataset.</p>
+<p>Options can be specified and maybe
+more specific to the subclasses.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.data_type">
+<span class="sig-name descname"><span class="pre">data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.data_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.info">
+<span class="sig-name descname"><span class="pre">info</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.info" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.data">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.data_format">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_format</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.data_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data format.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.is_structured">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_structured</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.is_structured" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine compatibility with StructuredProfiler.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.file_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">file_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return file encoding.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.get_batch_generator">
+<span class="sig-name descname"><span class="pre">get_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.get_batch_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get batch generator.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.is_match">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return true if match, false otherwise.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.reload">
+<span class="sig-name descname"><span class="pre">reload</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.reload" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reload the data class with a new dataset.</p>
+<p>This erases all existing
+data/options and replaces it with the input data/options.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.length">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">length</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.length" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the length of the dataset which is loaded.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>length of the dataset</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.csv_data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">CSV Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.avro_data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Avro Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.base_data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.data_readers.csv_data.html b/docs/0.10.5/html/dataprofiler.data_readers.csv_data.html
new file mode 100644
index 000000000..8c57986cf
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.data_readers.csv_data.html
@@ -0,0 +1,439 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data" href="dataprofiler.data_readers.data.html" /><link rel="prev" title="Base Data" href="dataprofiler.data_readers.base_data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>CSV Data - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.csv_data">
+<span id="csv-data"></span><h1>CSV Data<a class="headerlink" href="#module-dataprofiler.data_readers.csv_data" title="Permalink to this headline">¶</a></h1>
+<p>Contains class that saves and loads spreadsheet data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.csv_data.</span></span><span class="sig-name descname"><span class="pre">CSVData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html#dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin" title="dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin</span></code></a>, <a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.base_data.BaseData</span></code></a></p>
+<p>SpreadsheetData class to save and load spreadsheet data.</p>
+<p>Initialize Data class for loading datasets of type CSV.</p>
+<p>Can be specified by passing in memory data or via a file path.
+Options pertaining to CSV may also be specified using options dict param.
+Possible Options:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
+    <span class="n">delimiter</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span>
+    <span class="n">data_format</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">choices</span><span class="p">:</span> <span class="s2">"dataframe"</span><span class="p">,</span> <span class="s2">"records"</span>
+    <span class="n">record_samples_per_line</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">int</span> <span class="p">(</span><span class="n">only</span> <span class="k">for</span> <span class="s2">"records"</span><span class="p">)</span>
+    <span class="n">selected_columns</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+    <span class="n">header</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">any</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+<p>delimiter: delimiter used to decipher the csv input file
+data_format: user selected format in which to return data
+can only be of specified types:
+<a href="#id1"><span class="problematic" id="id2">``</span></a>`
+dataframe - (default) loads the dataset as a pandas.DataFrame
+records   - loads the data as rows of text values, the extra parameter</p>
+<blockquote>
+<div><p>“record_samples_per_line” determines how many rows are combined into
+a single line</p>
+</div></blockquote>
+<p><a href="#id3"><span class="problematic" id="id4">``</span></a>`
+selected_columns: columns being selected from the entire dataset
+header: location of the header in the file
+quotechar: quote character used in the delimited file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.data_type">
+<span class="sig-name descname"><span class="pre">data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'csv'</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.data_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.selected_columns">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">selected_columns</span></span><em class="property"><span class="pre">:</span> <span class="pre">List[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.selected_columns" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return selected columns.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.delimiter">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">delimiter</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.delimiter" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return delimiter.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.quotechar">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">quotechar</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.quotechar" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return quotechar.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.header">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">header</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[Union[str,</span> <span class="pre">int]]</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.header" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return header.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.sample_nrows">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">sample_nrows</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[int]</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.sample_nrows" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return sample_nrows.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.is_structured">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_structured</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.is_structured" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine compatibility with StructuredProfiler.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.data">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.data_format">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_format</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.data_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data format.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.file_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">file_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return file encoding.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.get_batch_generator">
+<span class="sig-name descname"><span class="pre">get_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.get_batch_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get batch generator.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.info">
+<span class="sig-name descname"><span class="pre">info</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.info" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.is_match">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check if first 1000 lines of given file has valid delimited format.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – path to the file to be examined</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – delimiter read options dict(delimiter=”,”)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>is file a csv file or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.length">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">length</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.length" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the length of the dataset which is loaded.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>length of the dataset</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.options">
+<span class="sig-name descname"><span class="pre">options</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.options" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.reload">
+<span class="sig-name descname"><span class="pre">reload</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.reload" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reload the data class with a new dataset.</p>
+<p>This erases all existing data/options and replaces it with
+the input data/options.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.base_data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Base Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.csv_data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.data_readers.data.html b/docs/0.10.5/html/dataprofiler.data_readers.data.html
new file mode 100644
index 000000000..82db6b13f
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.data_readers.data.html
@@ -0,0 +1,311 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data Utils" href="dataprofiler.data_readers.data_utils.html" /><link rel="prev" title="CSV Data" href="dataprofiler.data_readers.csv_data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.data">
+<span id="data"></span><h1>Data<a class="headerlink" href="#module-dataprofiler.data_readers.data" title="Permalink to this headline">¶</a></h1>
+<p>Contains factory class reading various kinds of data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data.Data">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data.</span></span><span class="sig-name descname"><span class="pre">Data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.BytesIO</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_type</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.data.Data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Factory class for reading various kinds of data.</p>
+<p>Create Factory Data object.</p>
+<p>Auto-detection of data type if not specified for input files.
+Returns the proper data class or specified data class for
+the given data or input file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> – </p></li>
+<li><p><strong>data</strong> – </p></li>
+<li><p><strong>data_type</strong> – </p></li>
+<li><p><strong>options</strong> – </p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p></p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data.Data.data_classes">
+<span class="sig-name descname"><span class="pre">data_classes</span></span><em class="property"><span class="pre">:</span> <span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">[{'data_class':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.data_readers.json_data.JSONData'&gt;,</span> <span class="pre">'kwargs':</span> <span class="pre">{}},</span> <span class="pre">{'data_class':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.data_readers.graph_data.GraphData'&gt;,</span> <span class="pre">'kwargs':</span> <span class="pre">{}},</span> <span class="pre">{'data_class':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.data_readers.csv_data.CSVData'&gt;,</span> <span class="pre">'kwargs':</span> <span class="pre">{}},</span> <span class="pre">{'data_class':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.data_readers.parquet_data.ParquetData'&gt;,</span> <span class="pre">'kwargs':</span> <span class="pre">{}},</span> <span class="pre">{'data_class':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.data_readers.avro_data.AVROData'&gt;,</span> <span class="pre">'kwargs':</span> <span class="pre">{}},</span> <span class="pre">{'data_class':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.data_readers.text_data.TextData'&gt;,</span> <span class="pre">'kwargs':</span> <span class="pre">{}}]</span></em><a class="headerlink" href="#dataprofiler.data_readers.data.Data.data_classes" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.data_utils.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data Utils</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.csv_data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">CSV Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.data_readers.data_utils.html b/docs/0.10.5/html/dataprofiler.data_readers.data_utils.html
new file mode 100644
index 000000000..c8559e673
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.data_readers.data_utils.html
@@ -0,0 +1,657 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Filepath Or Buffer" href="dataprofiler.data_readers.filepath_or_buffer.html" /><link rel="prev" title="Data" href="dataprofiler.data_readers.data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data Utils - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.data_utils">
+<span id="data-utils"></span><h1>Data Utils<a class="headerlink" href="#module-dataprofiler.data_readers.data_utils" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions for data readers.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.data_generator">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">data_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.data_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Take a list and return a generator on the list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_list</strong> (<em>list</em>) – list of strings</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>item from the list</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>generator</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.generator_on_file">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">generator_on_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_object</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">_io.StringIO</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.BytesIO</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bytes</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.generator_on_file" title="Permalink to this definition">¶</a></dt>
+<dd><p>Take a file and return a generator that returns lines.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>file_path</strong> (<em>path</em>) – path to the file</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Line from file</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>generator</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.convert_int_to_string">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">convert_int_to_string</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.convert_int_to_string" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert the given input to string.</p>
+<p>In particular, it is int, it converts it ensuring there is no . or 00.
+In addition, if the input is np.nan, the output will be ‘nan’ which is
+what we need to handle data properly.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>Union</em><em>[</em><em>int</em><em>, </em><em>float</em><em>, </em><em>str</em><em>, </em><em>numpy.nan</em><em>]</em>) – </p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p></p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>str</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.unicode_to_str">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">unicode_to_str</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">,</span> </span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_dicts</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">,</span> </span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.unicode_to_str" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert data to string representation if it is a unicode string.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>JSONType</em>) – input data</p></li>
+<li><p><strong>ignore_dicts</strong> (<em>boolean</em>) – if set, ignore the dictionary type processing</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>string representation of data</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>str</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.json_to_dataframe">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">json_to_dataframe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">json_lines</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">,</span> </span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">selected_columns</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">read_in_string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.json_to_dataframe" title="Permalink to this definition">¶</a></dt>
+<dd><p>Take list of json objects and return dataframe representing json list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>json_lines</strong> (<em>list</em><em>(</em><em>JSONType</em><em>)</em>) – list of json objects</p></li>
+<li><p><strong>selected_columns</strong> (<em>list</em><em>(</em><em>str</em><em>)</em>) – a list of keys to be processed</p></li>
+<li><p><strong>read_in_string</strong> (<em>bool</em>) – if True, all the values in dataframe will be
+converted to string</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dataframe converted from json list and list of dtypes for each
+column</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>tuple(pd.DataFrame, pd.Series(dtypes))</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.read_json_df">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">read_json_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_generator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Generator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">selected_columns</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">read_in_string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.read_json_df" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return an iterator that returns a chunk of data as dataframe in each call.</p>
+<p>The source of input to this function is either a
+file or a list of JSON structured strings. If the file path is given as
+input, the file is expected to have one JSON structures in each line. The
+lines that are not valid json will be ignored. Therefore, a file with
+pretty printed JSON objects will not be considered valid JSON. If the
+input is a data list, it is expected to be a list of strings where each
+string is a valid JSON object. if the individual object is not valid
+JSON, it will be ignored.</p>
+<p>NOTE: both data_list and file_path cannot be passed at the same time.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_generator</strong> (<em>generator</em>) – The generator you want to read.</p></li>
+<li><p><strong>selected_columns</strong> (<em>list</em><em>(</em><em>str</em><em>)</em>) – a list of keys to be processed</p></li>
+<li><p><strong>read_in_string</strong> (<em>bool</em>) – if True, all the values in dataframe will be
+converted to string</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>returns an iterator that returns a chunk of file as dataframe in
+each call as well as original dtypes of the dataframe columns.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>tuple(pd.DataFrame, pd.Series(dtypes))</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.read_json">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">read_json</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_generator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Iterator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">selected_columns</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">read_in_string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">,</span> </span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.read_json" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the lines of a json.</p>
+<p>The source of input to this function is either a file or
+a list of JSON structured strings.
+If the file path is given as input, the file is expected to have one JSON
+structures in each line. The lines that are not valid json will be ignored.
+Therefore, a file with pretty printed JSON objects will not be considered
+valid JSON. If the input is a data list, it is expected to be a list of
+strings where each string is a valid JSON object. if the individual object
+is not valid JSON, it will be ignored.</p>
+<p>NOTE: both data_list and file_path cannot be passed at the same time.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_generator</strong> (<em>generator</em>) – The generator you want to read.</p></li>
+<li><p><strong>selected_columns</strong> (<em>list</em><em>(</em><em>str</em><em>)</em>) – a list of keys to be processed</p></li>
+<li><p><strong>read_in_string</strong> (<em>bool</em>) – if True, all the values in dataframe will be
+converted to string</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>returns the lines of a json file</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(dict)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.reservoir">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">reservoir</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">_io.TextIOWrapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_nrows</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.reservoir" title="Permalink to this definition">¶</a></dt>
+<dd><p>Implement the mathematical logic of Reservoir sampling.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file</strong> (<em>TextIOWrapper</em>) – wrapper of the opened csv file</p></li>
+<li><p><strong>sample_nrows</strong> (<em>int</em>) – number of rows to sample</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p>ValueError()</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>sampled values</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.rsample">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">rsample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">_io.TextIOWrapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_nrows</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">_io.StringIO</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.rsample" title="Permalink to this definition">¶</a></dt>
+<dd><p>Implement Reservoir Sampling to sample n rows out of a total of M rows.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>TextIOWrapper</em>) – path of the csv file to be read in</p></li>
+<li><p><strong>sample_nrows</strong> (<em>int</em>) – number of rows being sampled</p></li>
+<li><p><strong>args</strong> (<em>dict</em>) – options to read the csv file</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.read_csv_df">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">read_csv_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.BytesIO</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.TextIOWrapper</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delimiter</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_nrows</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">selected_columns</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">[]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">read_in_string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'utf-8'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.read_csv_df" title="Permalink to this definition">¶</a></dt>
+<dd><p>Read a CSV file in chunks and return dataframe in form of iterator.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – path to the CSV file.</p></li>
+<li><p><strong>delimiter</strong> (<em>str</em>) – character used to separate csv values.</p></li>
+<li><p><strong>header</strong> (<em>int</em>) – the header row in the csv file.</p></li>
+<li><p><strong>selected_columns</strong> (<em>list</em><em>(</em><em>str</em><em>)</em>) – a list of columns to be processed</p></li>
+<li><p><strong>read_in_string</strong> (<em>bool</em>) – if True, all the values in dataframe will be
+converted to string</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Iterator</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>pd.DataFrame</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.read_parquet_df">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">read_parquet_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">selected_columns</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">read_in_string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.read_parquet_df" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return an iterator that returns one row group each time.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>file_path</strong> (<em>str</em>) – path to the Parquet file.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p></p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Iterator(pd.DataFrame)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.read_text_as_list_of_strs">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">read_text_as_list_of_strs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.read_text_as_list_of_strs" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return list of strings relative to the chunk size.</p>
+<p>Each line is 1 chunk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>file_path</strong> (<em>str</em>) – path to the file</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p></p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.detect_file_encoding">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">detect_file_encoding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">buffer_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1024</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_lines</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">20</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.detect_file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine encoding of files within initial <cite>max_lines</cite> of length <cite>buffer_size</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – path to the file</p></li>
+<li><p><strong>buffer_size</strong> (<em>int</em>) – buffer length for each line being read</p></li>
+<li><p><strong>max_lines</strong> (<em>int</em>) – number of lines to read from file of length buffer_size</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>encoding type</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>str</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.detect_cell_type">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">detect_cell_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cell</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.detect_cell_type" title="Permalink to this definition">¶</a></dt>
+<dd><p>Detect the cell type (int, float, etc).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>cell</strong> (<em>str</em>) – String designated for data type detection</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.get_delimiter_regex">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">get_delimiter_regex</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">delimiter</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">','</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quotechar</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">','</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Pattern</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.get_delimiter_regex" title="Permalink to this definition">¶</a></dt>
+<dd><p>Build regex for delimiter checks.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>delimiter</strong> (<em>str</em>) – Delimiter to be added to regex</p></li>
+<li><p><strong>quotechar</strong> – Quotechar to be added to regex</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.find_nth_loc">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">find_nth_loc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_query</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_consecutive</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.find_nth_loc" title="Permalink to this definition">¶</a></dt>
+<dd><p>Search string via search_query and return nth index in which query occurs.</p>
+<p>If there are less than ‘n’ the last loc is returned</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>string</strong> (<em>str</em>) – Input string, to be searched</p></li>
+<li><p><strong>search_query</strong> (<em>str</em>) – char(s) to find nth occurrence of</p></li>
+<li><p><strong>n</strong> (<em>int</em>) – The number of occurrences to iterate through</p></li>
+<li><p><strong>ignore_consecutive</strong> (<em>bool</em>) – Ignore consecutive matches in the search query.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return idx</dt>
+<dd class="field-even"><p>Index of the nth or last occurrence of the search_query</p>
+</dd>
+<dt class="field-odd">Rtype idx</dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+<dt class="field-even">Return id_count</dt>
+<dd class="field-even"><p>Number of identifications prior to idx</p>
+</dd>
+<dt class="field-odd">Rtype id_count</dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.load_as_str_from_file">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">load_as_str_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">file_encoding</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_lines</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_bytes</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">65536</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk_size_bytes</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1024</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.load_as_str_from_file" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data from a csv file up to a specific line OR byte_size.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – Path to file to load data from</p></li>
+<li><p><strong>file_encoding</strong> (<em>str</em>) – File encoding</p></li>
+<li><p><strong>max_lines</strong> (<em>int</em>) – Maximum number of lines to load from file</p></li>
+<li><p><strong>max_bytes</strong> (<em>int</em>) – Maximum number of bytes to load from file</p></li>
+<li><p><strong>chunk_size_bytes</strong> (<em>int</em>) – Chunk size to load every data load</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Data as string</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>str</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.is_valid_url">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">is_valid_url</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">url_as_string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">typing_extensions.TypeGuard</span><span class="p"><span class="pre">[</span></span><span class="pre">Url</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.is_valid_url" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine whether a given string is a valid URL.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>url_as_string</strong> (<em>str</em>) – string to be tested if URL</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>true if string is a valid URL</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.url_to_bytes">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">url_to_bytes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">url_as_string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Url</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">_io.BytesIO</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.url_to_bytes" title="Permalink to this definition">¶</a></dt>
+<dd><p>Read in URL and converts it to a byte stream.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>url_as_string</strong> (<em>str</em>) – string to read as URL</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options for the url</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>BytesIO stream of data downloaded from URL</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>BytesIO stream</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.filepath_or_buffer.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Filepath Or Buffer</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.data_utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.data_readers.filepath_or_buffer.html b/docs/0.10.5/html/dataprofiler.data_readers.filepath_or_buffer.html
new file mode 100644
index 000000000..75285752d
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.data_readers.filepath_or_buffer.html
@@ -0,0 +1,322 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Graph Data" href="dataprofiler.data_readers.graph_data.html" /><link rel="prev" title="Data Utils" href="dataprofiler.data_readers.data_utils.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Filepath Or Buffer - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.filepath_or_buffer">
+<span id="filepath-or-buffer"></span><h1>Filepath Or Buffer<a class="headerlink" href="#module-dataprofiler.data_readers.filepath_or_buffer" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions and classes for handling filepaths and buffers.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.filepath_or_buffer.is_stream_buffer">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.filepath_or_buffer.</span></span><span class="sig-name descname"><span class="pre">is_stream_buffer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath_or_buffer</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">typing_extensions.TypeGuard</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">_io.StringIO</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.BytesIO</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.filepath_or_buffer.is_stream_buffer" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine whether a given argument is a filepath or buffer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>filepath_or_buffer</strong> (<em>str</em>) – path to the file or buffer</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>true if string is a buffer or false if string is a filepath</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.filepath_or_buffer.FileOrBufferHandler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.filepath_or_buffer.</span></span><span class="sig-name descname"><span class="pre">FileOrBufferHandler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath_or_buffer</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.StringIO</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.BytesIO</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">open_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'r'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seek_offset</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seek_whence</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.filepath_or_buffer.FileOrBufferHandler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>FileOrBufferHandler class to read a filepath or buffer in.</p>
+<p>Always returns a readable buffer.</p>
+<p>Initialize Context manager class.</p>
+<p>Used for inputting a file or buffer and returning
+a structure that is always a buffer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath_or_buffer</strong> (<em>Union</em><em>[</em><em>str</em><em>, </em><em>StringIO</em><em>, </em><em>BytesIO</em><em>]</em>) – path to the file being loaded or buffer</p></li>
+<li><p><strong>open_method</strong> (<em>string</em>) – value describes the mode the file is opened in</p></li>
+<li><p><strong>seek_offset</strong> (<em>int</em>) – offset from start of the stream</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>TextIOBase or BufferedIOBase class/subclass</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.graph_data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Graph Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.data_utils.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data Utils</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.filepath_or_buffer.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.data_readers.graph_data.html b/docs/0.10.5/html/dataprofiler.data_readers.graph_data.html
new file mode 100644
index 000000000..f368463b5
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.data_readers.graph_data.html
@@ -0,0 +1,416 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="JSON Data" href="dataprofiler.data_readers.json_data.html" /><link rel="prev" title="Filepath Or Buffer" href="dataprofiler.data_readers.filepath_or_buffer.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Graph Data - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.graph_data">
+<span id="graph-data"></span><h1>Graph Data<a class="headerlink" href="#module-dataprofiler.data_readers.graph_data" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for identifying, reading, and loading graph data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.graph_data.</span></span><span class="sig-name descname"><span class="pre">GraphData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">networkx.classes.graph.Graph</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.base_data.BaseData</span></code></a></p>
+<p>GraphData class to identify, read, and load graph data.</p>
+<p>Initialize Data class for identifying, reading, and loading graph data.</p>
+<p>Current implementation only accepts file path as input.
+An options parameter is also passed in to specify properties of the
+input file.</p>
+<p>Possible Options:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
+    <span class="n">delimiter</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span>
+    <span class="n">column_names</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+    <span class="n">source_node</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">int</span>
+    <span class="n">destination_node</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">int</span>
+    <span class="n">target_keywords</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+    <span class="n">source_keywords</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+    <span class="n">header</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">any</span>
+    <span class="n">quotechar</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+<p>delimiter: delimiter used to decipher the csv input file
+column_names: list of column names of the csv
+source_node: index of the source node column, range of (0,n-1)
+target_node: index of the target node column, range of (0,n-1)
+target_keywords: list of keywords to identify target/destination node col
+source_keywords: list of keywords to identify source node col
+graph_keywords: list of keywords to identify if data has graph data
+header: location o the header in the file
+quotechar: quote character used in the delimited file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.data_type">
+<span class="sig-name descname"><span class="pre">data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'graph'</span></em><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.data_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.csv_column_names">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">csv_column_names</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delimiter</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'utf-8'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.csv_column_names" title="Permalink to this definition">¶</a></dt>
+<dd><p>Fetch a list of column names from the csv file.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.is_match">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine whether the file is a graph.</p>
+<dl class="simple">
+<dt>Current formats checked:</dt><dd><ul class="simple">
+<li><p>attributed edge list</p></li>
+</ul>
+</dd>
+</dl>
+<p>This works by finding whether the file contains a target and a source node</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.check_integer">
+<span class="sig-name descname"><span class="pre">check_integer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.check_integer" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check whether string is integer and output integer.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.data">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.data_format">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_format</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.data_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data format.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.file_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">file_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return file encoding.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.get_batch_generator">
+<span class="sig-name descname"><span class="pre">get_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.get_batch_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get batch generator.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.info">
+<span class="sig-name descname"><span class="pre">info</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.info" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.is_structured">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_structured</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.is_structured" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine compatibility with StructuredProfiler.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.length">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">length</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.length" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the length of the dataset which is loaded.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>length of the dataset</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.reload">
+<span class="sig-name descname"><span class="pre">reload</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.reload" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reload the data class with a new dataset.</p>
+<p>This erases all existing
+data/options and replaces it with the input data/options.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.options">
+<span class="sig-name descname"><span class="pre">options</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.options" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.json_data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">JSON Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.filepath_or_buffer.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Filepath Or Buffer</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.graph_data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.data_readers.html b/docs/0.10.5/html/dataprofiler.data_readers.html
new file mode 100644
index 000000000..4012c8ed5
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.data_readers.html
@@ -0,0 +1,325 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Avro Data" href="dataprofiler.data_readers.avro_data.html" /><link rel="prev" title="API" href="API.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data Readers - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children current-page"><a class="current reference internal" href="#">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="data-readers">
+<h1>Data Readers<a class="headerlink" href="#data-readers" title="Permalink to this headline">¶</a></h1>
+<section id="modules">
+<h2>Modules<a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</div>
+<span class="target" id="module-dataprofiler.data_readers"></span><p>This package is designed to wrap data for the data profiler.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.avro_data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Avro Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="API.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">API</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Data Readers</a><ul>
+<li><a class="reference internal" href="#modules">Modules</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.data_readers.json_data.html b/docs/0.10.5/html/dataprofiler.data_readers.json_data.html
new file mode 100644
index 000000000..a83f44dec
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.data_readers.json_data.html
@@ -0,0 +1,421 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Parquet Data" href="dataprofiler.data_readers.parquet_data.html" /><link rel="prev" title="Graph Data" href="dataprofiler.data_readers.graph_data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>JSON Data - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.json_data">
+<span id="json-data"></span><h1>JSON Data<a class="headerlink" href="#module-dataprofiler.data_readers.json_data" title="Permalink to this headline">¶</a></h1>
+<p>Contains class to save and load json data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.json_data.</span></span><span class="sig-name descname"><span class="pre">JSONData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html#dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin" title="dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin</span></code></a>, <a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.base_data.BaseData</span></code></a></p>
+<p>SpreadsheetData class to save and load spreadsheet data.</p>
+<p>Initialize Data class for loading datasets of type JSON.</p>
+<p>Can be specified by passing in memory data or via a file path.
+Options pertaining the JSON may also be specified using the
+options dict parameter.
+Possible Options:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
+    <span class="n">data_format</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">choices</span><span class="p">:</span> <span class="s2">"dataframe"</span><span class="p">,</span> <span class="s2">"records"</span><span class="p">,</span> <span class="s2">"json"</span><span class="p">,</span>
+     <span class="s2">"flattened_dataframe"</span>
+    <span class="n">selected_keys</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+    <span class="n">payload_keys</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)]</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+<p>data_format: user selected format in which to return data
+can only be of specified types
+selected_keys: keys being selected from the entire dataset
+payload_keys: list of dictionary keys that determine the payload</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.data_type">
+<span class="sig-name descname"><span class="pre">data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'json'</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.data_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.selected_keys">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">selected_keys</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[List[str]]</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.selected_keys" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return selected keys.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.metadata">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[pandas.core.frame.DataFrame]</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.metadata" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a data frame that contains the metadata.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.data_and_metadata">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_and_metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[pandas.core.frame.DataFrame]</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.data_and_metadata" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a data frame that joins the data and the metadata.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.is_structured">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_structured</span></span><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.is_structured" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine compatibility with StructuredProfiler.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.is_match">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.StringIO</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Test whether first 1000 lines of file has valid JSON format or not.</p>
+<p>At least 60 percent of the lines in the first 1000
+lines have to be valid json.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – path to the file to be examined</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – json read options</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>is file a json file or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.data">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.data_format">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_format</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.data_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data format.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.file_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">file_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return file encoding.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.get_batch_generator">
+<span class="sig-name descname"><span class="pre">get_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.get_batch_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get batch generator.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.info">
+<span class="sig-name descname"><span class="pre">info</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.info" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.length">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">length</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.length" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the length of the dataset which is loaded.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>length of the dataset</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.reload">
+<span class="sig-name descname"><span class="pre">reload</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.reload" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reload the data class with a new dataset.</p>
+<p>This erases all existing data/options and replaces it
+with the input data/options.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.options">
+<span class="sig-name descname"><span class="pre">options</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.options" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.parquet_data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Parquet Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.graph_data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Graph Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.json_data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.data_readers.parquet_data.html b/docs/0.10.5/html/dataprofiler.data_readers.parquet_data.html
new file mode 100644
index 000000000..b0ebf469d
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.data_readers.parquet_data.html
@@ -0,0 +1,406 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Structured Mixins" href="dataprofiler.data_readers.structured_mixins.html" /><link rel="prev" title="JSON Data" href="dataprofiler.data_readers.json_data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Parquet Data - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.parquet_data">
+<span id="parquet-data"></span><h1>Parquet Data<a class="headerlink" href="#module-dataprofiler.data_readers.parquet_data" title="Permalink to this headline">¶</a></h1>
+<p>Contains class to save and load parquet data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.parquet_data.</span></span><span class="sig-name descname"><span class="pre">ParquetData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html#dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin" title="dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin</span></code></a>, <a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.base_data.BaseData</span></code></a></p>
+<p>SpreadsheetData class to save and load parquet data.</p>
+<p>Initialize Data class for loading datasets of type PARQUET.</p>
+<p>Can be specified by passing in memory data or via a file path.
+Options pertaining to PARQUET may also be specified using options dict param.
+Possible Options:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
+    <span class="n">data_format</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">choices</span><span class="p">:</span> <span class="s2">"dataframe"</span><span class="p">,</span> <span class="s2">"records"</span><span class="p">,</span> <span class="s2">"json"</span>
+    <span class="n">selected_columns</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+    <span class="n">header</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">any</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+<p>data_format: user selected format in which to return data
+can only be of specified types
+selected_columns: columns being selected from the entire dataset</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.data_type">
+<span class="sig-name descname"><span class="pre">data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'parquet'</span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.data_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.file_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">file_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set file encoding to None since not detected for avro.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.selected_columns">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">selected_columns</span></span><em class="property"><span class="pre">:</span> <span class="pre">List[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.selected_columns" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return selected columns.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.is_structured">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_structured</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.is_structured" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine compatibility with StructuredProfiler.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.is_match">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.StringIO</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.BytesIO</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Test the given file to check if the file has valid Parquet format.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – path to the file to be examined</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – parquet read options</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>is file a parquet file or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.data">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.data_format">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_format</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.data_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data format.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.get_batch_generator">
+<span class="sig-name descname"><span class="pre">get_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.get_batch_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get batch generator.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.info">
+<span class="sig-name descname"><span class="pre">info</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.info" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.length">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">length</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.length" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the length of the dataset which is loaded.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>length of the dataset</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.reload">
+<span class="sig-name descname"><span class="pre">reload</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.reload" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reload the data class with a new dataset.</p>
+<p>This erases all existing data/options and replaces it
+with the input data/options.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.options">
+<span class="sig-name descname"><span class="pre">options</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.options" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.structured_mixins.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Structured Mixins</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.json_data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">JSON Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.parquet_data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.data_readers.structured_mixins.html b/docs/0.10.5/html/dataprofiler.data_readers.structured_mixins.html
new file mode 100644
index 000000000..6d59b5ff3
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.data_readers.structured_mixins.html
@@ -0,0 +1,305 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Text Data" href="dataprofiler.data_readers.text_data.html" /><link rel="prev" title="Parquet Data" href="dataprofiler.data_readers.parquet_data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Structured Mixins - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.structured_mixins">
+<span id="structured-mixins"></span><h1>Structured Mixins<a class="headerlink" href="#module-dataprofiler.data_readers.structured_mixins" title="Permalink to this headline">¶</a></h1>
+<p>Contains mixin data class for loading datasets of tye SpreadSheet.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.structured_mixins.</span></span><span class="sig-name descname"><span class="pre">SpreadSheetDataMixin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Mixin data class for loading datasets of type SpreadSheet.</p>
+<p>Can be specified.
+Adds specialized functions for loading data from a string or file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<p>Initialize spreadsheet mixin object.</p>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.text_data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Text Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.parquet_data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Parquet Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.structured_mixins.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.data_readers.text_data.html b/docs/0.10.5/html/dataprofiler.data_readers.text_data.html
new file mode 100644
index 000000000..ca6764cd6
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.data_readers.text_data.html
@@ -0,0 +1,411 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Profilers" href="dataprofiler.profilers.html" /><link rel="prev" title="Structured Mixins" href="dataprofiler.data_readers.structured_mixins.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Text Data - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.text_data">
+<span id="text-data"></span><h1>Text Data<a class="headerlink" href="#module-dataprofiler.data_readers.text_data" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for saving and loading text files.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.text_data.</span></span><span class="sig-name descname"><span class="pre">TextData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.base_data.BaseData</span></code></a></p>
+<p>TextData class to save and load text files.</p>
+<p>Initialize Data class for loading datasets of type TEXT.</p>
+<p>Can be specified by
+passing in memory data or via a file path. Options pertaining the TEXT
+may also be specified using the options dict parameter.
+Possible Options:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
+    <span class="n">data_format</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">choices</span><span class="p">:</span> <span class="s2">"text"</span>
+    <span class="n">samples_per_line</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">int</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+<p>data_format: user selected format in which to return data
+can only be of specified types
+samples_per_line: chunks by which to read in the specified dataset</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.data_type">
+<span class="sig-name descname"><span class="pre">data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'text'</span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.data_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.samples_per_line">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">samples_per_line</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.samples_per_line" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return samples per line.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.is_structured">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_structured</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.is_structured" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine compatibility with StructuredProfiler.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.tokenize">
+<span class="sig-name descname"><span class="pre">tokenize</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.tokenize" title="Permalink to this definition">¶</a></dt>
+<dd><p>Tokenize data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.is_match">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if all are text files.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – path to the file to be examined</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – text file read options</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>is file a text file or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.reload">
+<span class="sig-name descname"><span class="pre">reload</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.reload" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reload the data class with a new dataset.</p>
+<p>This erases all existing
+data/options and replaces it with the input data/options.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.data">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.data_format">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_format</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.data_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data format.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.file_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">file_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return file encoding.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.get_batch_generator">
+<span class="sig-name descname"><span class="pre">get_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.get_batch_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get batch generator.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.info">
+<span class="sig-name descname"><span class="pre">info</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.info" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.length">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">length</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.length" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the length of the dataset which is loaded.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>length of the dataset</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.options">
+<span class="sig-name descname"><span class="pre">options</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.options" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Profilers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.structured_mixins.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Structured Mixins</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.text_data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.dp_logging.html b/docs/0.10.5/html/dataprofiler.dp_logging.html
new file mode 100644
index 000000000..7b24965c6
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.dp_logging.html
@@ -0,0 +1,299 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Dp Logging - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.dp_logging">
+<span id="dp-logging"></span><h1>Dp Logging<a class="headerlink" href="#module-dataprofiler.dp_logging" title="Permalink to this headline">¶</a></h1>
+<p>Utility funcs allowing alteration of logging level/verbosity within dp lib.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.dp_logging.get_logger">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.dp_logging.</span></span><span class="sig-name descname"><span class="pre">get_logger</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.dp_logging.get_logger" title="Permalink to this definition">¶</a></dt>
+<dd><p>Access DataProfiler-specific logger.</p>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.dp_logging.set_verbosity">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.dp_logging.</span></span><span class="sig-name descname"><span class="pre">set_verbosity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">level</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.dp_logging.set_verbosity" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set verbosity level for DataProfiler logger.</p>
+<p>Must set it to one of the following values:
+[logging.NOTSET, logging.DEBUG, logging.INFO,</p>
+<blockquote>
+<div><p>logging.WARNING, logging.ERROR, logging.CRITICAL]</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>level</strong> (<em>int</em>) – Verbosity level from logging module</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.dp_logging.get_child_logger">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.dp_logging.</span></span><span class="sig-name descname"><span class="pre">get_child_logger</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.dp_logging.get_child_logger" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return logger for the given filepath.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – name of file in need of accessing child logger</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Logger instance for given file</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.dp_logging.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.html b/docs/0.10.5/html/dataprofiler.html
new file mode 100644
index 000000000..74a59cfe5
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.html
@@ -0,0 +1,384 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Dataprofiler - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="dataprofiler">
+<h1>Dataprofiler<a class="headerlink" href="#dataprofiler" title="Permalink to this headline">¶</a></h1>
+<section id="modules">
+<h2>Modules<a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="dataprofiler.data_readers.html#modules">Modules</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="dataprofiler.labelers.html#modules">Modules</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="dataprofiler.profilers.html#modules">Modules</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.html#modules">Modules</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.reports.html">Reports</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="dataprofiler.reports.html#modules">Modules</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.reports.graphs.html">Graphs</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.reports.utils.html">Utils</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="dataprofiler.validators.html#modules">Modules</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.dp_logging.html">Dp Logging</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.rng_utils.html">Rng Utils</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.settings.html">Settings</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.version.html">Version</a></li>
+</ul>
+</div>
+<span class="target" id="module-dataprofiler"></span><p>Package for dataprofiler.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.set_seed">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.</span></span><span class="sig-name descname"><span class="pre">set_seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.set_seed" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Dataprofiler</a><ul>
+<li><a class="reference internal" href="#modules">Modules</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.labelers.base_data_labeler.html b/docs/0.10.5/html/dataprofiler.labelers.base_data_labeler.html
new file mode 100644
index 000000000..6fec62428
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.labelers.base_data_labeler.html
@@ -0,0 +1,910 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Base Model" href="dataprofiler.labelers.base_model.html" /><link rel="prev" title="Labelers" href="dataprofiler.labelers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Base Data Labeler - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.base_data_labeler">
+<span id="base-data-labeler"></span><h1>Base Data Labeler<a class="headerlink" href="#module-dataprofiler.labelers.base_data_labeler" title="Permalink to this headline">¶</a></h1>
+<p>Contains abstract classes from which labeler classes will inherit.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.base_data_labeler.</span></span><span class="sig-name descname"><span class="pre">BaseDataLabeler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Parent class for data labeler objects.</p>
+<p>Initialize DataLabeler class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> – path to data labeler</p></li>
+<li><p><strong>load_options</strong> – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.help">
+<span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label encodings.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating labels to indexes</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the index to label encoding.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating indexes to labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.preprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">preprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPreprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data preprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the preprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.model">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">model</span></span><em class="property"><span class="pre">:</span> <span class="pre">dataprofiler.labelers.base_model.BaseModel</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the model instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.postprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">postprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPostprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data postprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the postprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Allow user to set parameters of pipeline components.</p>
+<dl>
+<dt>Done in the following format:</dt><dd><dl class="simple">
+<dt>params = dict(</dt><dd><p>preprocessor=dict(…),
+model=dict(…),
+postprocessor=dict(…)</p>
+</dd>
+</dl>
+<p>)</p>
+</dd>
+</dl>
+<p>where the key,values pairs for each pipeline component must match
+parameters that exist in their components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>params</strong> (<em>dict</em>) – <p>dictionary containing a key for a given pipeline
+component and its associated value of parameters as such:</p>
+<blockquote>
+<div><p>dict(preprocessor=dict(…), model=dict(…),
+postprocessor=dict(…))</p>
+</div></blockquote>
+</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_labels">
+<span class="sig-name descname"><span class="pre">set_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>labels</strong> (<em>list</em><em> or </em><em>dict</em>) – new labels in either encoding list or dict</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict labels of input data based with the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – data to be predicted upon</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – batch size of prediction</p></li>
+<li><p><strong>predict_options</strong> (<em>Dict</em><em>[</em><em>str</em><em>, </em><em>bool</em><em>]</em>) – optional parameters to allow for predict as a
+dict, i.e. dict(show_confidences=True)</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>predictions</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_preprocessor">
+<span class="sig-name descname"><span class="pre">set_preprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data preprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_model">
+<span class="sig-name descname"><span class="pre">set_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the model for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_postprocessor">
+<span class="sig-name descname"><span class="pre">set_postprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data postprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.check_pipeline">
+<span class="sig-name descname"><span class="pre">check_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">skip_postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.check_pipeline" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check whether the processors and models connect together without error.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>skip_postprocessor</strong> (<em>bool</em>) – skip checking postprocessor is valid in
+pipeline</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from the data labeler zoo in the library.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – name of the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a saved location on disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> (<em>str</em>) – path to data labeler files.</p></li>
+<li><p><strong>load_options</strong> (<em>dict</em>) – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_with_components">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_with_components</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">preprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_with_components" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a its set of components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>preprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p></li>
+<li><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p></li>
+<li><p><strong>postprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>loaded BaseDataLabeler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save the data labeler to the specified location.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – location to save the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.base_data_labeler.</span></span><span class="sig-name descname"><span class="pre">TrainableDataLabeler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></code></a></p>
+<p>Subclass of BaseDataLabeler that can be trained.</p>
+<p>Initialize DataLabeler class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> – path to data labeler</p></li>
+<li><p><strong>load_options</strong> – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.fit">
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">validation_split</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reset_weights</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epochs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.fit" title="Permalink to this definition">¶</a></dt>
+<dd><p>Fit the data labeler model for the dataset.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – samples to fit model</p></li>
+<li><p><strong>y</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – labels associated with the samples to fit model</p></li>
+<li><p><strong>validation_split</strong> (<em>float</em>) – split of the data to have as cross-validation
+data</p></li>
+<li><p><strong>labels</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>dict</em><em>]</em>) – Encoding or number of labels if refit is needed to new
+labels</p></li>
+<li><p><strong>reset_weights</strong> (<em>bool</em>) – Flag to determine whether or not to reset the
+weights</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Size of each batch sent to data labeler model</p></li>
+<li><p><strong>epochs</strong> (<em>int</em>) – number of epochs to iterate over the dataset and send to
+the model</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>model output</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_model">
+<span class="sig-name descname"><span class="pre">set_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the model for a trainable data labeler.</p>
+<p>Model must have a train function to be able to be set.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_with_components">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_with_components</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">preprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler" title="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.TrainableDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_with_components" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a its set of components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>preprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p></li>
+<li><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p></li>
+<li><p><strong>postprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>loaded TrainableDataLabeler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler" title="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler">TrainableDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.check_pipeline">
+<span class="sig-name descname"><span class="pre">check_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">skip_postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.check_pipeline" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check whether the processors and models connect together without error.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>skip_postprocessor</strong> (<em>bool</em>) – skip checking postprocessor is valid in
+pipeline</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.help">
+<span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label encodings.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating labels to indexes</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a saved location on disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> (<em>str</em>) – path to data labeler files.</p></li>
+<li><p><strong>load_options</strong> (<em>dict</em>) – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from the data labeler zoo in the library.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – name of the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.model">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">model</span></span><em class="property"><span class="pre">:</span> <span class="pre">dataprofiler.labelers.base_model.BaseModel</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the model instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.postprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">postprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPostprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data postprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the postprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict labels of input data based with the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – data to be predicted upon</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – batch size of prediction</p></li>
+<li><p><strong>predict_options</strong> (<em>Dict</em><em>[</em><em>str</em><em>, </em><em>bool</em><em>]</em>) – optional parameters to allow for predict as a
+dict, i.e. dict(show_confidences=True)</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>predictions</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.preprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">preprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPreprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data preprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the preprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the index to label encoding.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating indexes to labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save the data labeler to the specified location.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – location to save the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_labels">
+<span class="sig-name descname"><span class="pre">set_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>labels</strong> (<em>list</em><em> or </em><em>dict</em>) – new labels in either encoding list or dict</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Allow user to set parameters of pipeline components.</p>
+<dl>
+<dt>Done in the following format:</dt><dd><dl class="simple">
+<dt>params = dict(</dt><dd><p>preprocessor=dict(…),
+model=dict(…),
+postprocessor=dict(…)</p>
+</dd>
+</dl>
+<p>)</p>
+</dd>
+</dl>
+<p>where the key,values pairs for each pipeline component must match
+parameters that exist in their components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>params</strong> (<em>dict</em>) – <p>dictionary containing a key for a given pipeline
+component and its associated value of parameters as such:</p>
+<blockquote>
+<div><p>dict(preprocessor=dict(…), model=dict(…),
+postprocessor=dict(…))</p>
+</div></blockquote>
+</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_postprocessor">
+<span class="sig-name descname"><span class="pre">set_postprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data postprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_preprocessor">
+<span class="sig-name descname"><span class="pre">set_preprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data preprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.base_model.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Base Model</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Labelers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.base_data_labeler.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.labelers.base_model.html b/docs/0.10.5/html/dataprofiler.labelers.base_model.html
new file mode 100644
index 000000000..11139d6ec
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.labelers.base_model.html
@@ -0,0 +1,676 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Char Load Tf Model" href="dataprofiler.labelers.char_load_tf_model.html" /><link rel="prev" title="Base Data Labeler" href="dataprofiler.labelers.base_data_labeler.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Base Model - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.base_model">
+<span id="base-model"></span><h1>Base Model<a class="headerlink" href="#module-dataprofiler.labelers.base_model" title="Permalink to this headline">¶</a></h1>
+<p>Contains abstract classes for labeling data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.AutoSubRegistrationMeta">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.base_model.</span></span><span class="sig-name descname"><span class="pre">AutoSubRegistrationMeta</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">clsname</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bases</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tuple</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attrs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.base_model.AutoSubRegistrationMeta" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">abc.ABCMeta</span></code></p>
+<p>For registering subclasses.</p>
+<p>Create auto registration object and return new class.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.AutoSubRegistrationMeta.mro">
+<span class="sig-name descname"><span class="pre">mro</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.base_model.AutoSubRegistrationMeta.mro" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a type’s method resolution order.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.AutoSubRegistrationMeta.register">
+<span class="sig-name descname"><span class="pre">register</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">subclass</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.base_model.AutoSubRegistrationMeta.register" title="Permalink to this definition">¶</a></dt>
+<dd><p>Register a virtual subclass of an ABC.</p>
+<p>Returns the subclass, to allow usage as a class decorator.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.base_model.</span></span><span class="sig-name descname"><span class="pre">BaseModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>For labeling data.</p>
+<p>Initialize Base Model.</p>
+<p>Only model and model parameters are stored here.
+:param label_mapping: label mapping of the model or list of labels to be</p>
+<blockquote>
+<div><p>converted into the label mapping</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>parameters</strong> (<em>dict</em>) – Contains all the appropriate parameters for the model.
+Must contain num_labels.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.requires_zero_mapping">
+<span class="sig-name descname"><span class="pre">requires_zero_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><em class="property"> <span class="pre">=</span> <span class="pre">False</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.requires_zero_mapping" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mapping of labels to their encoded values.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return reversed order of current labels.</p>
+<p>Useful for when needed to extract Labels via indices.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.num_labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">num_labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.num_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return max label mapping.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">BaseModel</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>List</em><em>[</em><em>str</em><em>]</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.set_label_mapping">
+<span class="sig-name descname"><span class="pre">set_label_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.set_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>dict</em><em>]</em>) – label mapping of the model or list of labels to be
+converted into the label mapping</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Help describe alterable parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.reset_weights">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">reset_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.reset_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset the weights of the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.predict">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_confidences</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict the data with the current model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>iterator of data to process</em>) – model input data to predict on</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – number of samples in the batch of data</p></li>
+<li><p><strong>show_confidences</strong> (<em>bool</em>) – whether user wants prediction confidences</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>char level predictions and confidences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.load_from_disk">
+<em class="property"><span class="pre">abstract</span> <span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load whole model from disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to load the model from</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>loaded model</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel">BaseModel</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.save_to_disk">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save whole model to disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to save the model to</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.base_model.</span></span><span class="sig-name descname"><span class="pre">BaseTrainableModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></code></a></p>
+<p>Contains abstract method for training models.</p>
+<p>Initialize Base Model.</p>
+<p>Only model and model parameters are stored here.
+:param label_mapping: label mapping of the model or list of labels to be</p>
+<blockquote>
+<div><p>converted into the label mapping</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>parameters</strong> (<em>dict</em>) – Contains all the appropriate parameters for the model.
+Must contain num_labels.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.fit">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epochs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reset_weights</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.fit" title="Permalink to this definition">¶</a></dt>
+<dd><p>Train the current model with the training data and validation data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>train_data</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – Training data used to train model</p></li>
+<li><p><strong>val_data</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – Validation data used to validate the training</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Used to determine number of samples in each batch</p></li>
+<li><p><strong>epochs</strong> (<em>int</em>) – Used to determine how many epochs to run</p></li>
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – Mapping of the labels</p></li>
+<li><p><strong>reset_weights</strong> (<em>bool</em>) – Flag to determine whether or not to reset the
+model’s weights</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>history, f1, f1_report</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Tuple[dict, float, dict]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">BaseModel</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>List</em><em>[</em><em>str</em><em>]</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Help describe alterable parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mapping of labels to their encoded values.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.load_from_disk">
+<em class="property"><span class="pre">abstract</span> <span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load whole model from disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to load the model from</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>loaded model</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel">BaseModel</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.num_labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">num_labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.num_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return max label mapping.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.predict">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_confidences</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict the data with the current model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>iterator of data to process</em>) – model input data to predict on</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – number of samples in the batch of data</p></li>
+<li><p><strong>show_confidences</strong> (<em>bool</em>) – whether user wants prediction confidences</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>char level predictions and confidences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.requires_zero_mapping">
+<span class="sig-name descname"><span class="pre">requires_zero_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><em class="property"> <span class="pre">=</span> <span class="pre">False</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.requires_zero_mapping" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.reset_weights">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">reset_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.reset_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset the weights of the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return reversed order of current labels.</p>
+<p>Useful for when needed to extract Labels via indices.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.save_to_disk">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save whole model to disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to save the model to</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.set_label_mapping">
+<span class="sig-name descname"><span class="pre">set_label_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.set_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>dict</em><em>]</em>) – label mapping of the model or list of labels to be
+converted into the label mapping</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.char_load_tf_model.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Char Load Tf Model</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.base_data_labeler.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Base Data Labeler</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.base_model.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.labelers.char_load_tf_model.html b/docs/0.10.5/html/dataprofiler.labelers.char_load_tf_model.html
new file mode 100644
index 000000000..1dfa36427
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.labelers.char_load_tf_model.html
@@ -0,0 +1,492 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Character Level Cnn Model" href="dataprofiler.labelers.character_level_cnn_model.html" /><link rel="prev" title="Base Model" href="dataprofiler.labelers.base_model.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Char Load Tf Model - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.char_load_tf_model">
+<span id="char-load-tf-model"></span><h1>Char Load Tf Model<a class="headerlink" href="#module-dataprofiler.labelers.char_load_tf_model" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for training data labeler model.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.char_load_tf_model.</span></span><span class="sig-name descname"><span class="pre">CharLoadTFModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel" title="dataprofiler.labelers.base_model.BaseTrainableModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_model.BaseTrainableModel</span></code></a></p>
+<p>For training data labeler model.</p>
+<p>Initialize Loadable TF Model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model_path</strong> (<em>str</em>) – path to model to load</p></li>
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>parameters</strong> (<em>dict</em>) – <p>Contains all the appropriate parameters for the
+model. Must contain num_labels. Other possible parameters are:</p>
+<blockquote>
+<div><p>max_length, max_char_encoding_id, dim_embed, size_fc
+dropout, size_conv, num_fil, optimizer, default_label</p>
+</div></blockquote>
+</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.requires_zero_mapping">
+<span class="sig-name descname"><span class="pre">requires_zero_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><em class="property"> <span class="pre">=</span> <span class="pre">False</span></em><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.requires_zero_mapping" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.set_label_mapping">
+<span class="sig-name descname"><span class="pre">set_label_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.set_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>label_mapping</strong> (<em>dict</em>) – label mapping of the model</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save whole model to disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to save the model to</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel" title="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel"><span class="pre">dataprofiler.labelers.char_load_tf_model.CharLoadTFModel</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load whole model from disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to load the model from</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>loaded CharLoadTFModel</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel" title="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel">CharLoadTFModel</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.reset_weights">
+<span class="sig-name descname"><span class="pre">reset_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.reset_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset the weights of the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.fit">
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epochs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reset_weights</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.fit" title="Permalink to this definition">¶</a></dt>
+<dd><p>Train the current model with the training data and validation data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>train_data</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>np.ndarray</em><em>]</em>) – Training data used to train model</p></li>
+<li><p><strong>val_data</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>np.ndarray</em><em>]</em>) – Validation data used to validate the training</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Used to determine number of samples in each batch</p></li>
+<li><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>dict</em><em>, </em><em>None</em><em>]</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>reset_weights</strong> (<em>bool</em>) – Flag to determine whether to reset the weights or
+not</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>history, f1, f1_report</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Tuple[dict, float, dict]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_confidences</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Run model and get predictions.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>numpy.ndarray</em><em>]</em>) – text input</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – number of samples in the batch of data</p></li>
+<li><p><strong>show_confidences</strong> – whether user wants prediction confidences</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>char level predictions and confidences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.details">
+<span class="sig-name descname"><span class="pre">details</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.details" title="Permalink to this definition">¶</a></dt>
+<dd><p>Print the relevant details of the model.</p>
+<p>Details include summary, parameters, label mapping.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">BaseModel</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>List</em><em>[</em><em>str</em><em>]</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Help describe alterable parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mapping of labels to their encoded values.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.num_labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">num_labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.num_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return max label mapping.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return reversed order of current labels.</p>
+<p>Useful for when needed to extract Labels via indices.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.character_level_cnn_model.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Character Level Cnn Model</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.base_model.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Base Model</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.char_load_tf_model.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.labelers.character_level_cnn_model.html b/docs/0.10.5/html/dataprofiler.labelers.character_level_cnn_model.html
new file mode 100644
index 000000000..22094eb80
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.labelers.character_level_cnn_model.html
@@ -0,0 +1,513 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Classification Report Utils" href="dataprofiler.labelers.classification_report_utils.html" /><link rel="prev" title="Char Load Tf Model" href="dataprofiler.labelers.char_load_tf_model.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Character Level Cnn Model - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.character_level_cnn_model">
+<span id="character-level-cnn-model"></span><h1>Character Level Cnn Model<a class="headerlink" href="#module-dataprofiler.labelers.character_level_cnn_model" title="Permalink to this headline">¶</a></h1>
+<p>Contains classes for char data labeling.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.build_embd_dictionary">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.character_level_cnn_model.</span></span><span class="sig-name descname"><span class="pre">build_embd_dictionary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.build_embd_dictionary" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a numpy embedding dictionary from embed file with GloVe-like format.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>filename</strong> (<em>str</em>) – Path to the embed file for loading</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.create_glove_char">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.character_level_cnn_model.</span></span><span class="sig-name descname"><span class="pre">create_glove_char</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_dims</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.create_glove_char" title="Permalink to this definition">¶</a></dt>
+<dd><p>Embed GloVe chars embeddings from source file to n_dims principal components.</p>
+<p>Embed in a new file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>n_dims</strong> (<em>int</em>) – Final number of principal component dims of the embeddings</p></li>
+<li><p><strong>source_file</strong> (<em>str</em>) – Location of original embeddings to factor down</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.character_level_cnn_model.</span></span><span class="sig-name descname"><span class="pre">CharacterLevelCnnModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel" title="dataprofiler.labelers.base_model.BaseTrainableModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_model.BaseTrainableModel</span></code></a></p>
+<p>Class for training char data labeler.</p>
+<p>Initialize CNN Model.</p>
+<p>Initialize epoch_id.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>parameters</strong> (<em>dict</em>) – <p>Contains all the appropriate parameters for the
+model. Must contain num_labels. Other possible parameters are:</p>
+<blockquote>
+<div><p>max_length, max_char_encoding_id, dim_embed, size_fc
+dropout, size_conv, num_fil, optimizer, default_label</p>
+</div></blockquote>
+</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.requires_zero_mapping">
+<span class="sig-name descname"><span class="pre">requires_zero_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><em class="property"> <span class="pre">=</span> <span class="pre">True</span></em><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.requires_zero_mapping" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.set_label_mapping">
+<span class="sig-name descname"><span class="pre">set_label_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.set_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>label_mapping</strong> (<em>dict</em>) – label mapping of the model</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save whole model to disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to save the model to</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel" title="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel"><span class="pre">dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load whole model from disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to load the model from</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.reset_weights">
+<span class="sig-name descname"><span class="pre">reset_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.reset_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset the weights of the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.fit">
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epochs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reset_weights</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.fit" title="Permalink to this definition">¶</a></dt>
+<dd><p>Train the current model with the training data and validation data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>train_data</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>np.ndarray</em><em>]</em>) – Training data used to train model</p></li>
+<li><p><strong>val_data</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>np.ndarray</em><em>]</em>) – Validation data used to validate the training</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Used to determine number of samples in each batch</p></li>
+<li><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>dict</em><em>, </em><em>None</em><em>]</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>reset_weights</strong> (<em>bool</em>) – Flag to determine whether to reset the weights or
+not</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>history, f1, f1_report</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Tuple[dict, float, dict]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_confidences</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Run model and get predictions.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>numpy.ndarray</em><em>]</em>) – text input</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – number of samples in the batch of data</p></li>
+<li><p><strong>show_confidences</strong> – whether user wants prediction confidences</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>char level predictions and confidences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.details">
+<span class="sig-name descname"><span class="pre">details</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.details" title="Permalink to this definition">¶</a></dt>
+<dd><p>Print the relevant details of the model.</p>
+<p>Details include summary, parameters, and label mapping.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">BaseModel</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>List</em><em>[</em><em>str</em><em>]</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Help describe alterable parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mapping of labels to their encoded values.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.num_labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">num_labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.num_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return max label mapping.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return reversed order of current labels.</p>
+<p>Useful for when needed to extract Labels via indices.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.classification_report_utils.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Classification Report Utils</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.char_load_tf_model.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Char Load Tf Model</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.character_level_cnn_model.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.labelers.classification_report_utils.html b/docs/0.10.5/html/dataprofiler.labelers.classification_report_utils.html
new file mode 100644
index 000000000..7a0cb2f8a
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.labelers.classification_report_utils.html
@@ -0,0 +1,452 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Column Name Model" href="dataprofiler.labelers.column_name_model.html" /><link rel="prev" title="Character Level Cnn Model" href="dataprofiler.labelers.character_level_cnn_model.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Classification Report Utils - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.classification_report_utils">
+<span id="classification-report-utils"></span><h1>Classification Report Utils<a class="headerlink" href="#module-dataprofiler.labelers.classification_report_utils" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions for classification.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.classification_report_utils.convert_confusion_matrix_to_MCM">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.classification_report_utils.</span></span><span class="sig-name descname"><span class="pre">convert_confusion_matrix_to_MCM</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">conf_matrix</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">np.ndarray</span></span></span><a class="headerlink" href="#dataprofiler.labelers.classification_report_utils.convert_confusion_matrix_to_MCM" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert a confusion matrix into the MCM format.</p>
+<p>Format for precision/recall/fscore/
+support computation by sklearn.</p>
+<p>The format is as specified by sklearn below:
+In multilabel confusion matrix <span class="math notranslate nohighlight">\(MCM\)</span>, the count of true negatives
+is <span class="math notranslate nohighlight">\(MCM_{:,0,0}\)</span>, false negatives is <span class="math notranslate nohighlight">\(MCM_{:,1,0}\)</span>,
+true positives is <span class="math notranslate nohighlight">\(MCM_{:,1,1}\)</span> and false positives is
+<span class="math notranslate nohighlight">\(MCM_{:,0,1}\)</span>.
+Note: this utilizes code/ideology from sklearn.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>conf_matrix</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>np.ndarray</em><em>]</em>) – confusion matrix, which is a square matrix describing
+false positives and false negatives, true positives and true negatives
+for classification</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>MCM format for readability by sklearn confusion reports.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>np.ndarray</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.classification_report_utils.precision_recall_fscore_support">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.classification_report_utils.</span></span><span class="sig-name descname"><span class="pre">precision_recall_fscore_support</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">MCM</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">average</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">warn_for</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">('precision',</span> <span class="pre">'recall',</span> <span class="pre">'f-score')</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_weight</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.classification_report_utils.precision_recall_fscore_support" title="Permalink to this definition">¶</a></dt>
+<dd><p>Perform same functionality as recision_recall_fscore_support function.</p>
+<p>Copy of the precision_recall_fscore_support function from sklearn.metrics
+with the update to receiving the MCM instead of calculating each time it is
+called.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>MCM</strong> (<em>array</em><em>, </em><em>shape</em><em> (</em><em>n_outputs</em><em>, </em><em>2</em><em>, </em><em>2</em><em>)</em>) – Multi-classification confusion matrix as referenced by the sklearn
+metrics module. A 2x2 confusion matrix corresponding to each output in
+the input. In multilabel confusion matrix <span class="math notranslate nohighlight">\(MCM\)</span>, the count of
+true negatives is <span class="math notranslate nohighlight">\(MCM_{:,0,0}\)</span>, false negatives is
+<span class="math notranslate nohighlight">\(MCM_{:,1,0}\)</span>, true positives is <span class="math notranslate nohighlight">\(MCM_{:,1,1}\)</span> and false
+positives is <span class="math notranslate nohighlight">\(MCM_{:,0,1}\)</span>.</p></li>
+<li><p><strong>beta</strong> (<em>float</em><em>, </em><em>1.0 by default</em>) – The strength of recall versus precision in the F-score.</p></li>
+<li><p><strong>labels</strong> (<em>list</em><em>, </em><em>optional</em>) – The set of labels to include when <code class="docutils literal notranslate"><span class="pre">average</span> <span class="pre">!=</span> <span class="pre">'binary'</span></code>, and their
+order if <code class="docutils literal notranslate"><span class="pre">average</span> <span class="pre">is</span> <span class="pre">None</span></code>. Labels present in the data can be
+excluded, for example to calculate a multiclass average ignoring a
+majority negative class, while labels not present in the data will
+result in 0 components in a macro average. For multilabel targets,
+labels are column indices. By default, all labels in <code class="docutils literal notranslate"><span class="pre">y_true</span></code> and
+<code class="docutils literal notranslate"><span class="pre">y_pred</span></code> are used in sorted order.</p></li>
+<li><p><strong>pos_label</strong> (<em>str</em><em> or </em><em>int</em><em>, </em><em>1 by default</em>) – The class to report if <code class="docutils literal notranslate"><span class="pre">average='binary'</span></code> and the data is binary.
+If the data are multiclass or multilabel, this will be ignored;
+setting <code class="docutils literal notranslate"><span class="pre">labels=[pos_label]</span></code> and <code class="docutils literal notranslate"><span class="pre">average</span> <span class="pre">!=</span> <span class="pre">'binary'</span></code> will report
+scores for that label only.</p></li>
+<li><p><strong>average</strong> (<em>string</em><em>, </em><em>[</em><em>None</em><em> (</em><em>default</em><em>)</em><em>, </em><em>'binary'</em><em>, </em><em>'micro'</em><em>, </em><em>'macro'</em><em>, </em><em>'weighted'</em><em>]</em>) – <p>If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the scores for each class are returned. Otherwise, this
+determines the type of averaging performed on the data:</p>
+<dl class="simple">
+<dt><code class="docutils literal notranslate"><span class="pre">'binary'</span></code>:</dt><dd><p>Only report results for the class specified by <code class="docutils literal notranslate"><span class="pre">pos_label</span></code>.
+This is applicable only if targets (<code class="docutils literal notranslate"><span class="pre">y_{true,pred}</span></code>) are binary.</p>
+</dd>
+<dt><code class="docutils literal notranslate"><span class="pre">'micro'</span></code>:</dt><dd><p>Calculate metrics globally by counting the total true positives,
+false negatives and false positives.</p>
+</dd>
+<dt><code class="docutils literal notranslate"><span class="pre">'macro'</span></code>:</dt><dd><p>Calculate metrics for each label, and find their unweighted
+mean. This does not take label imbalance into account.</p>
+</dd>
+<dt><code class="docutils literal notranslate"><span class="pre">'weighted'</span></code>:</dt><dd><p>Calculate metrics for each label, and find their average weighted
+by support (the number of true instances for each label). This
+alters ‘macro’ to account for label imbalance; it can result in an
+F-score that is not between precision and recall.</p>
+</dd>
+</dl>
+</p></li>
+<li><p><strong>warn_for</strong> (<em>tuple</em><em> or </em><em>set</em><em>, </em><em>for internal use</em>) – This determines which warnings will be made in the case that this
+function is being used to return only one of its metrics.</p></li>
+<li><p><strong>sample_weight</strong> (<em>array-like of shape =</em><em> [</em><em>n_samples</em><em>]</em><em>, </em><em>optional</em>) – Sample weights.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>precision</strong> (<em>float (if average is not None) or array of float, shape =        [n_unique_labels]</em>)</p></li>
+<li><p><strong>recall</strong> (<em>float (if average is not None) or array of float, , shape =        [n_unique_labels]</em>)</p></li>
+<li><p><strong>fbeta_score</strong> (<em>float (if average is not None) or array of float, shape =        [n_unique_labels]</em>)</p></li>
+<li><p><strong>support</strong> (<em>int (if average is not None) or array of int, shape =        [n_unique_labels]</em>) – The number of occurrences of each label in <code class="docutils literal notranslate"><span class="pre">y_true</span></code>.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+<p class="rubric">References</p>
+<dl class="footnote brackets">
+<dt class="label" id="id1"><span class="brackets">1</span></dt>
+<dd><p><a class="reference external" href="https://en.wikipedia.org/wiki/Precision_and_recall">Wikipedia entry for the Precision and recall</a></p>
+</dd>
+<dt class="label" id="id2"><span class="brackets">2</span></dt>
+<dd><p><a class="reference external" href="https://en.wikipedia.org/wiki/F1_score">Wikipedia entry for the F1-score</a></p>
+</dd>
+<dt class="label" id="id3"><span class="brackets">3</span></dt>
+<dd><p><a class="reference external" href="http://www.godbole.net/shantanu/pubs/multilabelsvm-pakdd04.pdf">Discriminative Methods for Multi-labeled Classification Advances
+in Knowledge Discovery and Data Mining (2004), pp. 22-30 by Shantanu
+Godbole, Sunita Sarawagi</a></p>
+</dd>
+</dl>
+<p class="rubric">Notes</p>
+<p>When <code class="docutils literal notranslate"><span class="pre">true</span> <span class="pre">positive</span> <span class="pre">+</span> <span class="pre">false</span> <span class="pre">positive</span> <span class="pre">==</span> <span class="pre">0</span></code>, precision is undefined;
+When <code class="docutils literal notranslate"><span class="pre">true</span> <span class="pre">positive</span> <span class="pre">+</span> <span class="pre">false</span> <span class="pre">negative</span> <span class="pre">==</span> <span class="pre">0</span></code>, recall is undefined.
+In such cases, the metric will be set to 0, as will f-score, and
+<code class="docutils literal notranslate"><span class="pre">UndefinedMetricWarning</span></code> will be raised.</p>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.classification_report_utils.classification_report">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.classification_report_utils.</span></span><span class="sig-name descname"><span class="pre">classification_report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">conf_matrix</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_names</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_weight</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">digits</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_dict</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.classification_report_utils.classification_report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Build a text report showing the main classification metrics.</p>
+<p>Copy of the classification_report function from sklearn.metrics
+with the update to receiving the conf_matrix instead of calculating each
+time it is called.</p>
+<p>Read more in the <span class="xref std std-ref">User Guide</span>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>conf_matrix</strong> (<em>array</em><em>, </em><em>shape =</em><em> [</em><em>n_labels</em><em>, </em><em>n_labels</em><em>]</em>) – confusion matrix, which is a square matrix describing
+false positives and false negatives, true positives and true negatives
+for classification.</p></li>
+<li><p><strong>labels</strong> (<em>array</em><em>, </em><em>shape =</em><em> [</em><em>n_labels</em><em>]</em>) – Optional list of label indices to include in the report.</p></li>
+<li><p><strong>target_names</strong> (<em>list of strings</em>) – Optional display names matching the labels (same order).</p></li>
+<li><p><strong>sample_weight</strong> (<em>array-like of shape =</em><em> [</em><em>n_samples</em><em>]</em><em>, </em><em>optional</em>) – Sample weights.</p></li>
+<li><p><strong>digits</strong> (<em>int</em>) – Number of digits for formatting output floating point values.
+When <code class="docutils literal notranslate"><span class="pre">output_dict</span></code> is <code class="docutils literal notranslate"><span class="pre">True</span></code>, this will be ignored and the
+returned values will not be rounded.</p></li>
+<li><p><strong>output_dict</strong> (<em>bool</em><em> (</em><em>default = False</em><em>)</em>) – If True, return output as dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><p><strong>report</strong> – Text summary of the precision, recall, F1 score for each class.
+Dictionary returned if output_dict is True. Dictionary has the
+following structure:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="p">{</span><span class="s1">'label 1'</span><span class="p">:</span> <span class="p">{</span><span class="s1">'precision'</span><span class="p">:</span><span class="mf">0.5</span><span class="p">,</span>
+             <span class="s1">'recall'</span><span class="p">:</span><span class="mf">1.0</span><span class="p">,</span>
+             <span class="s1">'f1-score'</span><span class="p">:</span><span class="mf">0.67</span><span class="p">,</span>
+             <span class="s1">'support'</span><span class="p">:</span><span class="mi">1</span><span class="p">},</span>
+ <span class="s1">'label 2'</span><span class="p">:</span> <span class="p">{</span> <span class="o">...</span> <span class="p">},</span>
+  <span class="o">...</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+<p>The reported averages include macro average (averaging the unweighted
+mean per label), weighted average (averaging the support-weighted mean
+per label), sample average (only for multilabel classification) and
+micro average (averaging the total true positives, false negatives and
+false positives) it is only shown for multi-label or multi-class
+with a subset of classes because it is accuracy otherwise.
+See also:func:<cite>precision_recall_fscore_support</cite> for more details
+on averages.</p>
+<p>Note that in binary classification, recall of the positive class
+is also known as “sensitivity”; recall of the negative class is
+“specificity”.</p>
+</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>string / dict</p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#dataprofiler.labelers.classification_report_utils.precision_recall_fscore_support" title="dataprofiler.labelers.classification_report_utils.precision_recall_fscore_support"><code class="xref py py-obj docutils literal notranslate"><span class="pre">precision_recall_fscore_support</span></code></a>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">confusion_matrix</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">multilabel_confusion_matrix</span></code></p>
+</div>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.column_name_model.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Column Name Model</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.character_level_cnn_model.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Character Level Cnn Model</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.classification_report_utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.labelers.column_name_model.html b/docs/0.10.5/html/dataprofiler.labelers.column_name_model.html
new file mode 100644
index 000000000..d2bdc8fa9
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.labelers.column_name_model.html
@@ -0,0 +1,452 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data Labelers" href="dataprofiler.labelers.data_labelers.html" /><link rel="prev" title="Classification Report Utils" href="dataprofiler.labelers.classification_report_utils.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Column Name Model - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.column_name_model">
+<span id="column-name-model"></span><h1>Column Name Model<a class="headerlink" href="#module-dataprofiler.labelers.column_name_model" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for column name data labeling model.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.column_name_model.</span></span><span class="sig-name descname"><span class="pre">ColumnNameModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></code></a></p>
+<p>Class for column name data labeling model.</p>
+<p>Initialize function for ColumnNameModel.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>parameters</strong> (<em>dict</em>) – <p>Contains all the appropriate parameters for the model.
+Possible parameters are:</p>
+<blockquote>
+<div><p>max_length, max_num_chars, dim_embed</p>
+</div></blockquote>
+</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.reset_weights">
+<span class="sig-name descname"><span class="pre">reset_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.reset_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset weights function.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_confidences</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Apply the <cite>process.cdist</cite> for similarity score on input list of strings.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>iterator</em>) – list of strings to predict upon</p></li>
+<li><p><strong>batch_size</strong> (<em>N/A</em>) – does not impact this model and should be fixed to not
+be required.</p></li>
+<li><p><strong>show_confidences</strong> – Parameter disabled. Confidence values returned
+by default.</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>char level predictions and confidences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.column_name_model.ColumnNameModel" title="dataprofiler.labelers.column_name_model.ColumnNameModel"><span class="pre">dataprofiler.labelers.column_name_model.ColumnNameModel</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load whole model from disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to load the model from</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save whole model to disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to save the model to</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">BaseModel</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>List</em><em>[</em><em>str</em><em>]</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Help describe alterable parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mapping of labels to their encoded values.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.num_labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">num_labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.num_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return max label mapping.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.requires_zero_mapping">
+<span class="sig-name descname"><span class="pre">requires_zero_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><em class="property"> <span class="pre">=</span> <span class="pre">False</span></em><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.requires_zero_mapping" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return reversed order of current labels.</p>
+<p>Useful for when needed to extract Labels via indices.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.set_label_mapping">
+<span class="sig-name descname"><span class="pre">set_label_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.set_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>dict</em><em>]</em>) – label mapping of the model or list of labels to be
+converted into the label mapping</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.data_labelers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data Labelers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.classification_report_utils.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Classification Report Utils</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.column_name_model.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.labelers.data_labelers.html b/docs/0.10.5/html/dataprofiler.labelers.data_labelers.html
new file mode 100644
index 000000000..39ee1dbd1
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.labelers.data_labelers.html
@@ -0,0 +1,981 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data Processing" href="dataprofiler.labelers.data_processing.html" /><link rel="prev" title="Column Name Model" href="dataprofiler.labelers.column_name_model.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data Labelers - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.data_labelers">
+<span id="data-labelers"></span><h1>Data Labelers<a class="headerlink" href="#module-dataprofiler.labelers.data_labelers" title="Permalink to this headline">¶</a></h1>
+<p>Module to train and choose between structured and unstructured data labelers.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.train_structured_labeler">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_labelers.</span></span><span class="sig-name descname"><span class="pre">train_structured_labeler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">None</span> <span class="p"><span class="pre">|</span></span> <span class="pre">pd.DataFrame</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epochs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">2</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">TrainableDataLabeler</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.train_structured_labeler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Use provided data to create and save a structured data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>pd.DataFrame</em><em>]</em>) – data to be trained upon</p></li>
+<li><p><strong>save_dirpath</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>str</em><em>]</em>) – path to save data labeler</p></li>
+<li><p><strong>epochs</strong> (<em>int</em>) – number of epochs to loop training the data</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>structured data labeler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler" title="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler">TrainableDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_labelers.</span></span><span class="sig-name descname"><span class="pre">UnstructuredDataLabeler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></code></a></p>
+<p>BaseDataLabeler subclass specified as unstructured with internal variable.</p>
+<p>Initialize DataLabeler class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> – path to data labeler</p></li>
+<li><p><strong>load_options</strong> – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.check_pipeline">
+<span class="sig-name descname"><span class="pre">check_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">skip_postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.check_pipeline" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check whether the processors and models connect together without error.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>skip_postprocessor</strong> (<em>bool</em>) – skip checking postprocessor is valid in
+pipeline</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.help">
+<span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label encodings.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating labels to indexes</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a saved location on disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> (<em>str</em>) – path to data labeler files.</p></li>
+<li><p><strong>load_options</strong> (<em>dict</em>) – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from the data labeler zoo in the library.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – name of the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_with_components">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_with_components</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">preprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_with_components" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a its set of components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>preprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p></li>
+<li><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p></li>
+<li><p><strong>postprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>loaded BaseDataLabeler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.model">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">model</span></span><em class="property"><span class="pre">:</span> <span class="pre">dataprofiler.labelers.base_model.BaseModel</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the model instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.postprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">postprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPostprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data postprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the postprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict labels of input data based with the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – data to be predicted upon</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – batch size of prediction</p></li>
+<li><p><strong>predict_options</strong> (<em>Dict</em><em>[</em><em>str</em><em>, </em><em>bool</em><em>]</em>) – optional parameters to allow for predict as a
+dict, i.e. dict(show_confidences=True)</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>predictions</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.preprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">preprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPreprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data preprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the preprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the index to label encoding.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating indexes to labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save the data labeler to the specified location.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – location to save the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_labels">
+<span class="sig-name descname"><span class="pre">set_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>labels</strong> (<em>list</em><em> or </em><em>dict</em>) – new labels in either encoding list or dict</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_model">
+<span class="sig-name descname"><span class="pre">set_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the model for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Allow user to set parameters of pipeline components.</p>
+<dl>
+<dt>Done in the following format:</dt><dd><dl class="simple">
+<dt>params = dict(</dt><dd><p>preprocessor=dict(…),
+model=dict(…),
+postprocessor=dict(…)</p>
+</dd>
+</dl>
+<p>)</p>
+</dd>
+</dl>
+<p>where the key,values pairs for each pipeline component must match
+parameters that exist in their components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>params</strong> (<em>dict</em>) – <p>dictionary containing a key for a given pipeline
+component and its associated value of parameters as such:</p>
+<blockquote>
+<div><p>dict(preprocessor=dict(…), model=dict(…),
+postprocessor=dict(…))</p>
+</div></blockquote>
+</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_postprocessor">
+<span class="sig-name descname"><span class="pre">set_postprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data postprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_preprocessor">
+<span class="sig-name descname"><span class="pre">set_preprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data preprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_labelers.</span></span><span class="sig-name descname"><span class="pre">StructuredDataLabeler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></code></a></p>
+<p>BaseDataLabeler subclass specified as structured with internal variable.</p>
+<p>Initialize DataLabeler class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> – path to data labeler</p></li>
+<li><p><strong>load_options</strong> – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.check_pipeline">
+<span class="sig-name descname"><span class="pre">check_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">skip_postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.check_pipeline" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check whether the processors and models connect together without error.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>skip_postprocessor</strong> (<em>bool</em>) – skip checking postprocessor is valid in
+pipeline</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.help">
+<span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label encodings.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating labels to indexes</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a saved location on disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> (<em>str</em>) – path to data labeler files.</p></li>
+<li><p><strong>load_options</strong> (<em>dict</em>) – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from the data labeler zoo in the library.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – name of the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_with_components">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_with_components</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">preprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_with_components" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a its set of components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>preprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p></li>
+<li><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p></li>
+<li><p><strong>postprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>loaded BaseDataLabeler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.model">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">model</span></span><em class="property"><span class="pre">:</span> <span class="pre">dataprofiler.labelers.base_model.BaseModel</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the model instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.postprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">postprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPostprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data postprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the postprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict labels of input data based with the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – data to be predicted upon</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – batch size of prediction</p></li>
+<li><p><strong>predict_options</strong> (<em>Dict</em><em>[</em><em>str</em><em>, </em><em>bool</em><em>]</em>) – optional parameters to allow for predict as a
+dict, i.e. dict(show_confidences=True)</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>predictions</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.preprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">preprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPreprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data preprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the preprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the index to label encoding.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating indexes to labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save the data labeler to the specified location.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – location to save the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_labels">
+<span class="sig-name descname"><span class="pre">set_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>labels</strong> (<em>list</em><em> or </em><em>dict</em>) – new labels in either encoding list or dict</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_model">
+<span class="sig-name descname"><span class="pre">set_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the model for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Allow user to set parameters of pipeline components.</p>
+<dl>
+<dt>Done in the following format:</dt><dd><dl class="simple">
+<dt>params = dict(</dt><dd><p>preprocessor=dict(…),
+model=dict(…),
+postprocessor=dict(…)</p>
+</dd>
+</dl>
+<p>)</p>
+</dd>
+</dl>
+<p>where the key,values pairs for each pipeline component must match
+parameters that exist in their components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>params</strong> (<em>dict</em>) – <p>dictionary containing a key for a given pipeline
+component and its associated value of parameters as such:</p>
+<blockquote>
+<div><p>dict(preprocessor=dict(…), model=dict(…),
+postprocessor=dict(…))</p>
+</div></blockquote>
+</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_postprocessor">
+<span class="sig-name descname"><span class="pre">set_postprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data postprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_preprocessor">
+<span class="sig-name descname"><span class="pre">set_preprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data preprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.DataLabeler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_labelers.</span></span><span class="sig-name descname"><span class="pre">DataLabeler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labeler_type</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trainable</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.DataLabeler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Wrapper class for choosing between structured and unstructured labeler.</p>
+<p>Create structured and unstructured data labeler objects.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> (<em>str</em>) – Path to load data labeler</p></li>
+<li><p><strong>load_options</strong> (<em>Dict</em>) – Optional arguments to include for load.</p></li>
+<li><p><strong>trainable</strong> (<em>bool</em>) – variable to dictate whether you want a trainable data
+labeler</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p></p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.DataLabeler.labeler_classes">
+<span class="sig-name descname"><span class="pre">labeler_classes</span></span><em class="property"> <span class="pre">=</span> <span class="pre">{'structured':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.labelers.data_labelers.StructuredDataLabeler'&gt;,</span> <span class="pre">'unstructured':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.labelers.data_labelers.UnstructuredDataLabeler'&gt;}</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.DataLabeler.labeler_classes" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.DataLabeler.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trainable</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.DataLabeler.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from the data labeler zoo in the library.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>str</em>) – name of the data labeler.</p></li>
+<li><p><strong>trainable</strong> (<em>bool</em>) – variable to dictate whether you want a trainable data
+labeler</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.DataLabeler.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trainable</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.DataLabeler.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a saved location on disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> (<em>str</em>) – path to data labeler files.</p></li>
+<li><p><strong>load_options</strong> (<em>dict</em>) – optional arguments to include for load i.e. class
+for model or processors</p></li>
+<li><p><strong>trainable</strong> (<em>bool</em>) – variable to dictate whether you want a trainable data
+labeler</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.DataLabeler.load_with_components">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_with_components</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">preprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">trainable</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.DataLabeler.load_with_components" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a its set of components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>preprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p></li>
+<li><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p></li>
+<li><p><strong>postprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p></li>
+<li><p><strong>trainable</strong> (<em>bool</em>) – variable to dictate whether you want a trainable data
+labeler</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.data_processing.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data Processing</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.column_name_model.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Column Name Model</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.data_labelers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.labelers.data_processing.html b/docs/0.10.5/html/dataprofiler.labelers.data_processing.html
new file mode 100644
index 000000000..edd38f334
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.labelers.data_processing.html
@@ -0,0 +1,1413 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Labeler Utils" href="dataprofiler.labelers.labeler_utils.html" /><link rel="prev" title="Data Labelers" href="dataprofiler.labelers.data_labelers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data Processing - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.data_processing">
+<span id="data-processing"></span><h1>Data Processing<a class="headerlink" href="#module-dataprofiler.labelers.data_processing" title="Permalink to this headline">¶</a></h1>
+<p>Contains pre-built processors for data labeling/processing.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.AutoSubRegistrationMeta">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">AutoSubRegistrationMeta</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">clsname</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bases</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tuple</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attrs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.AutoSubRegistrationMeta" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">abc.ABCMeta</span></code></p>
+<p>For registering subclasses.</p>
+<p>Create AutoSubRegistration object.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.AutoSubRegistrationMeta.mro">
+<span class="sig-name descname"><span class="pre">mro</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.AutoSubRegistrationMeta.mro" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a type’s method resolution order.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.AutoSubRegistrationMeta.register">
+<span class="sig-name descname"><span class="pre">register</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">subclass</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.AutoSubRegistrationMeta.register" title="Permalink to this definition">¶</a></dt>
+<dd><p>Register a virtual subclass of an ABC.</p>
+<p>Returns the subclass, to allow usage as a class decorator.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">BaseDataProcessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Abstract Data processing class.</p>
+<p>Initialize BaseDataProcessor object.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.help">
+<em class="property"><span class="pre">abstract</span> <span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.process">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Process data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dataprofiler.labelers.data_processing.Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">BaseDataPreprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></code></a></p>
+<p>Abstract Data preprocessing class.</p>
+<p>Initialize BaseDataPreprocessor object.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'preprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.process">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Preprocess data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.help">
+<em class="property"><span class="pre">abstract</span> <span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dataprofiler.labelers.data_processing.Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">BaseDataPostprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></code></a></p>
+<p>Abstract Data postprocessing class.</p>
+<p>Initialize BaseDataPostprocessor object.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'postprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.process">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Postprocess data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.help">
+<em class="property"><span class="pre">abstract</span> <span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dataprofiler.labelers.data_processing.Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">DirectPassPreprocessor</span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></code></a></p>
+<p>Subclass of BaseDataPreprocessor for preprocessing data.</p>
+<p>Initialize the DirectPassPreprocessor class.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Preprocess data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dataprofiler.labelers.data_processing.Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'preprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">CharPreprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_length</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">3400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'UNKNOWN'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'PAD'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_split</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_separate_at_max_len</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></code></a></p>
+<p>Subclass of BaseDataPreprocessor for preprocessing char data.</p>
+<p>Initialize the CharPreprocessor class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>max_length</strong> (<em>int</em>) – Maximum char length in a sample.</p></li>
+<li><p><strong>default_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the default label</p></li>
+<li><p><strong>pad_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the pad label</p></li>
+<li><p><strong>flatten_split</strong> (<em>float</em>) – approximate output of split between flattened and
+non-flattened characters, value between [0, 1]. When the current
+flattened split becomes more than the <cite>flatten_split</cite> value, any
+leftover sample or subsequent samples will be non-flattened until
+the current flattened split is below the <cite>flatten_split</cite> value</p></li>
+<li><p><strong>flatten_separator</strong> (<em>str</em>) – separator used to put between flattened
+samples.</p></li>
+<li><p><strong>is_separate_at_max_len</strong> (<em>bool</em>) – if true, separates at max_length,
+otherwise at nearest separator</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Flatten batches of data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>numpy.ndarray</em>) – List of strings to create embeddings for</p></li>
+<li><p><strong>labels</strong> (<em>numpy.ndarray</em>) – labels for each input character</p></li>
+<li><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>dict</em><em>]</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of samples in the batch of data</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return batch_data</dt>
+<dd class="field-even"><p>A dict containing samples of size batch_size</p>
+</dd>
+<dt class="field-odd">Rtype batch_data</dt>
+<dd class="field-odd"><p>dicts</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dataprofiler.labelers.data_processing.Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'preprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">CharEncodedPreprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">encoding_map</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_length</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">5000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'UNKNOWN'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'PAD'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_split</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_separate_at_max_len</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.CharPreprocessor" title="dataprofiler.labelers.data_processing.CharPreprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.CharPreprocessor</span></code></a></p>
+<p>Subclass of CharPreprocessor for preprocessing char encoded data.</p>
+<p>Initialize the CharEncodedPreprocessor class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>encoding_map</strong> (<em>dict</em>) – char to int encoding map</p></li>
+<li><p><strong>max_length</strong> (<em>int</em>) – Maximum char length in a sample.</p></li>
+<li><p><strong>default_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the default label</p></li>
+<li><p><strong>pad_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the pad label</p></li>
+<li><p><strong>flatten_split</strong> (<em>float</em>) – approximate output of split between flattened and
+non-flattened characters, value between [0, 1]. When the current
+flattened split becomes more than the <cite>flatten_split</cite> value, any
+leftover sample or subsequent samples will be non-flattened until
+the current flattened split is below the <cite>flatten_split</cite> value</p></li>
+<li><p><strong>flatten_separator</strong> (<em>str</em>) – separator used to put between flattened
+samples.</p></li>
+<li><p><strong>is_separate_at_max_len</strong> (<em>bool</em>) – if true, separates at max_length,
+otherwise at nearest separator</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Process structured data for being processed by CharacterLevelCnnModel.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>numpy.ndarray</em>) – List of strings to create embeddings for</p></li>
+<li><p><strong>labels</strong> (<em>numpy.ndarray</em>) – labels for each input character</p></li>
+<li><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>dict</em><em>, </em><em>None</em><em>]</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of samples in the batch of data</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return batch_data</dt>
+<dd class="field-even"><p>A dict containing samples of size batch_size</p>
+</dd>
+<dt class="field-odd">Rtype batch_data</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dataprofiler.labelers.data_processing.Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'preprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">CharPostprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'UNKNOWN'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'PAD'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_word_level_argmax</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_format</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'character_argmax'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">separators</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tuple</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">('</span> <span class="pre">',</span> <span class="pre">',',</span> <span class="pre">';',</span> <span class="pre">"'",</span> <span class="pre">'"',</span> <span class="pre">':',</span> <span class="pre">'\n',</span> <span class="pre">'\t',</span> <span class="pre">'.')</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">word_level_min_percent</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0.75</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></code></a></p>
+<p>Subclass of BaseDataPostprocessor for postprocessing char data.</p>
+<p>Initialize the CharPostprocessor class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>default_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the default label</p></li>
+<li><p><strong>pad_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the pad label</p></li>
+<li><p><strong>flatten_separator</strong> (<em>str</em>) – separator used to put between flattened
+samples.</p></li>
+<li><p><strong>use_word_level_argmax</strong> (<em>bool</em>) – whether to require the argmax value of
+each character in a word to determine the word’s entity</p></li>
+<li><p><strong>output_format</strong> (<em>str</em>) – (character_argmax vs NER) where character_argmax
+is a list of encodings for each character in the input text and NER
+is in the dict format which specifies start,end,label for each
+entity in a sentence</p></li>
+<li><p><strong>separators</strong> (<em>tuple</em><em>(</em><em>str</em><em>)</em>) – list of characters to use for separating words within
+the character predictions</p></li>
+<li><p><strong>word_level_min_percent</strong> (<em>float</em>) – threshold on generating dominant
+word_level labeling</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.convert_to_NER_format">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">convert_to_NER_format</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">predictions</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.convert_to_NER_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert word level predictions to specified format.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>predictions</strong> (<em>list</em>) – predictions</p></li>
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – labels and corresponding integers</p></li>
+<li><p><strong>default_label</strong> (<em>str</em>) – default label in label_mapping</p></li>
+<li><p><strong>pad_label</strong> (<em>str</em>) – pad label in label_mapping</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>formatted predictions</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.match_sentence_lengths">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">match_sentence_lengths</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.match_sentence_lengths" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert results from model into same ragged data shapes as original data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>numpy.ndarray</em>) – original input data to the data labeler</p></li>
+<li><p><strong>results</strong> (<em>dict</em>) – dict of model character level predictions and confs</p></li>
+<li><p><strong>flatten_separator</strong> (<em>str</em>) – string which joins to samples together when
+flattening</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em>) – flag to modify results in place</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict(pred=…) or dict(pred=…, conf=…)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Conduct processing on data given predictions, label_mapping, and default_label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>np.ndarray</em><em>, </em><em>pd.DataFrame</em><em>]</em>) – original input data to the data labeler</p></li>
+<li><p><strong>results</strong> (<em>dict</em>) – dict of model character level predictions and confs</p></li>
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – labels and corresponding integers</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of predictions and if they exist, confidences</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dataprofiler.labelers.data_processing.Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'postprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">StructCharPreprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_length</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">3400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'UNKNOWN'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'PAD'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'\x01\x01\x01\x01\x01'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_separate_at_max_len</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.CharPreprocessor" title="dataprofiler.labelers.data_processing.CharPreprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.CharPreprocessor</span></code></a></p>
+<p>Subclass of CharPreprocessor for preprocessing struct char data.</p>
+<p>Initialize the StructCharPreprocessor class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>max_length</strong> (<em>int</em>) – Maximum char length in a sample.</p></li>
+<li><p><strong>default_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the default label</p></li>
+<li><p><strong>pad_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the pad label</p></li>
+<li><p><strong>flatten_separator</strong> (<em>str</em>) – separator used to put between flattened
+samples.</p></li>
+<li><p><strong>is_separate_at_max_len</strong> (<em>bool</em>) – if true, separates at max_length,
+otherwise at nearest separator</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for preprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.convert_to_unstructured_format">
+<span class="sig-name descname"><span class="pre">convert_to_unstructured_format</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">npt.NDArray</span><span class="p"><span class="pre">[</span></span><span class="pre">np.str_</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.convert_to_unstructured_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert data samples list to StructCharPreprocessor required input data format.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>numpy.ndarray</em>) – list of strings</p></li>
+<li><p><strong>labels</strong> (Optional[Union[List[str], npt.NDArray[<a href="#id1"><span class="problematic" id="id2">np.str_</span></a>]]]) – labels for each input character</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><p>data in the following format
+text=”&lt;SAMPLE&gt;&lt;SEPARATOR&gt;&lt;SAMPLE&gt;…”,
+entities=[(start=&lt;INT&gt;, end=&lt;INT&gt;, label=”&lt;LABEL&gt;”),</p>
+<blockquote>
+<div><p>…(num_samples in data)])</p>
+</div></blockquote>
+</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Tuple[str, Optional[List[Tuple[int, int, str]]]]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Process structured data for being processed by CharacterLevelCnnModel.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>numpy.ndarray</em>) – List of strings to create embeddings for</p></li>
+<li><p><strong>labels</strong> (<em>numpy.ndarray</em>) – labels for each input character</p></li>
+<li><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>dict</em><em>, </em><em>None</em><em>]</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of samples in the batch of data</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return batch_data</dt>
+<dd class="field-even"><p>A dict containing samples of size batch_size</p>
+</dd>
+<dt class="field-odd">Rtype batch_data</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dataprofiler.labelers.data_processing.Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'preprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">StructCharPostprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'UNKNOWN'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'PAD'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'\x01\x01\x01\x01\x01'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_pred_labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">random.Random</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">tuple</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></code></a></p>
+<p>Subclass of BaseDataPostprocessor for postprocessing struct char data.</p>
+<p>Initialize the StructCharPostprocessor class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>default_label</strong> (<em>str</em>) – Key for label_mapping that is the default label</p></li>
+<li><p><strong>pad_label</strong> (<em>str</em>) – Key for label_mapping that is the pad label</p></li>
+<li><p><strong>flatten_separator</strong> (<em>str</em>) – separator used to put between flattened
+samples.</p></li>
+<li><p><strong>is_pred_labels</strong> (<em>bool</em>) – (default: true) if true, will convert the model
+indexes to the label strings given the label_mapping</p></li>
+<li><p><strong>random_state</strong> (<em>random.Random</em>) – random state setting to be used for randomly
+selecting a prediction when two labels have equal opportunity for
+a given sample.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.match_sentence_lengths">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">match_sentence_lengths</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.match_sentence_lengths" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert results from model into same ragged data shapes as original data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>np.ndarray</em>) – original input data to the data labeler</p></li>
+<li><p><strong>results</strong> (<em>dict</em>) – dict of model character level predictions and confs</p></li>
+<li><p><strong>flatten_separator</strong> (<em>str</em>) – string which joins to samples together when
+flattening</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em>) – flag to modify results in place</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict(pred=…) or dict(pred=…, conf=…)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.convert_to_structured_analysis">
+<span class="sig-name descname"><span class="pre">convert_to_structured_analysis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sentences</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.convert_to_structured_analysis" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert unstructured results to a structured column analysis.</p>
+<p>This assumes the column was flattened into a single sample, and takes mode of
+all character predictions except for the separator labels. In cases of
+tie, chose anything but background, otherwise randomly choose between
+the remaining labels.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>sentences</strong> (<em>numpy.ndarray</em>) – samples which were predicted upon</p></li>
+<li><p><strong>results</strong> (<em>dict</em>) – character predictions for each sample return from model</p></li>
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>default_label</strong> (<em>str</em>) – Key for label_mapping that is the default label</p></li>
+<li><p><strong>pad_label</strong> (<em>str</em>) – Key for label_mapping that is the pad label</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>prediction value for a single column</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Postprocess CharacterLevelCnnModel results when given structured data.</p>
+<p>Said structured data is processed by StructCharPreprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>numpy.ndarray</em><em>, </em><em>pandas.DataFrame</em><em>]</em>) – original input data to the data labeler</p></li>
+<li><p><strong>results</strong> – dict of model character level predictions and confs</p></li>
+<li><p><strong>results</strong> – dict</p></li>
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – maps labels to their encoded integers</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of predictions and if they exist, confidences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dataprofiler.labelers.data_processing.Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'postprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">RegexPostProcessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">aggregation_func</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'split'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">priority_order</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">random.Random</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">tuple</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></code></a></p>
+<p>Subclass of BaseDataPostprocessor for postprocessing regex data.</p>
+<p>Initialize the RegexPostProcessor class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>aggregation_func</strong> (<em>str</em>) – aggregation function to apply to regex model
+output (split, random, priority)</p></li>
+<li><p><strong>priority_order</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>numpy.ndarray</em><em>]</em>) – if priority is set as the aggregation function,
+the order in which entities are given priority must be set</p></li>
+<li><p><strong>random_state</strong> (<em>random.Random</em>) – random state setting to be used for randomly
+selecting a prediction when two labels have equal opportunity for
+a given sample.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.priority_prediction">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">priority_prediction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">entity_priority_order</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.priority_prediction" title="Permalink to this definition">¶</a></dt>
+<dd><p>Use priority of regex to give entity determination.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>results</strong> (<em>dict</em>) – regex from model in format: dict(pred=…, conf=…)</p></li>
+<li><p><strong>entity_priority_order</strong> (<em>np.ndarray</em>) – list of entity priorities (lowest has
+higher priority)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.split_prediction">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">split_prediction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.split_prediction" title="Permalink to this definition">¶</a></dt>
+<dd><p>Split the prediction across votes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>results</strong> (<em>dict</em>) – regex from model in format: dict(pred=…, conf=…)</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Preprocess data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dataprofiler.labelers.data_processing.Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'postprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">StructRegexPostProcessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">random.Random</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">tuple</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></code></a></p>
+<p>Subclass of BaseDataPostprocessor for postprocessing struct regex data.</p>
+<p>Initialize the RegexPostProcessor class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>random_state</strong> (<em>random.Random</em>) – random state setting to be used for randomly
+selecting a prediction when two labels have equal opportunity for
+a given sample.</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Given kwargs, set the parameters if they exist.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Preprocess data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dataprofiler.labelers.data_processing.Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'postprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">ColumnNameModelPostprocessor</span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></code></a></p>
+<p>Subclass of BaseDataPostprocessor for postprocessing regex data.</p>
+<p>Initialize the ColumnNameModelPostProcessor class.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Preprocess data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dataprofiler.labelers.data_processing.Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'postprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.labeler_utils.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Labeler Utils</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.data_labelers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data Labelers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.data_processing.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.labelers.html b/docs/0.10.5/html/dataprofiler.labelers.html
new file mode 100644
index 000000000..26362665b
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.labelers.html
@@ -0,0 +1,361 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Base Data Labeler" href="dataprofiler.labelers.base_data_labeler.html" /><link rel="prev" title="Unstructured Text Profile" href="dataprofiler.profilers.unstructured_text_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Labelers - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children current-page"><a class="current reference internal" href="#">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="labelers">
+<h1>Labelers<a class="headerlink" href="#labelers" title="Permalink to this headline">¶</a></h1>
+<section id="modules">
+<h2>Modules<a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</div>
+<span class="target" id="module-dataprofiler.labelers"></span><p>The following will list the built-in models, processors, and data labelers.</p>
+<dl class="simple">
+<dt>Models:</dt><dd><ol class="arabic simple">
+<li><p>CharacterLevelCnnModel - character classification of text.</p></li>
+<li><p>RegexModel - character classification of text.</p></li>
+</ol>
+</dd>
+<dt>Processors:</dt><dd><dl class="simple">
+<dt>Preprocessors</dt><dd><ol class="arabic simple">
+<li><p>CharPreprocessor</p></li>
+<li><p>StructCharPreprocessor</p></li>
+<li><p>DirectPassPreprocessor</p></li>
+</ol>
+</dd>
+<dt>PostProcessors</dt><dd><ol class="arabic simple">
+<li><p>CharPreprocessor</p></li>
+<li><p>StructCharPostprocessor</p></li>
+<li><p>RegexPostProcessor</p></li>
+</ol>
+</dd>
+</dl>
+</dd>
+<dt>Data Labelers:</dt><dd><dl class="simple">
+<dt>Classes</dt><dd><ol class="arabic simple">
+<li><p>UnstructuredDataLabeler</p></li>
+<li><p>StructuredDataLabeler</p></li>
+</ol>
+</dd>
+<dt>Files to load from disk using <cite>BaseDataLabeler.load_from_library(&lt;NAME&gt;)</cite></dt><dd><ol class="arabic simple">
+<li><p>unstructured_model</p></li>
+<li><p>structured_model</p></li>
+<li><p>regex_model</p></li>
+</ol>
+</dd>
+</dl>
+</dd>
+</dl>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.base_data_labeler.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Base Data Labeler</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.unstructured_text_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Unstructured Text Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Labelers</a><ul>
+<li><a class="reference internal" href="#modules">Modules</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.labelers.labeler_utils.html b/docs/0.10.5/html/dataprofiler.labelers.labeler_utils.html
new file mode 100644
index 000000000..fd088a10f
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.labelers.labeler_utils.html
@@ -0,0 +1,2642 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Regex Model" href="dataprofiler.labelers.regex_model.html" /><link rel="prev" title="Data Processing" href="dataprofiler.labelers.data_processing.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Labeler Utils - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.labeler_utils">
+<span id="labeler-utils"></span><h1>Labeler Utils<a class="headerlink" href="#module-dataprofiler.labelers.labeler_utils" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions for the data labeler.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.f1_report_dict_to_str">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.labeler_utils.</span></span><span class="sig-name descname"><span class="pre">f1_report_dict_to_str</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f1_report</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_names</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.f1_report_dict_to_str" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the report string from the f1_report dict.</p>
+<dl>
+<dt>Example Output:</dt><dd><blockquote>
+<div><blockquote>
+<div><p>precision    recall  f1-score   support</p>
+</div></blockquote>
+<p>class 0       0.00      0.00      0.00         1
+class 1       1.00      0.67      0.80         3</p>
+</div></blockquote>
+<p>micro avg       0.67      0.50      0.57         4
+macro avg       0.50      0.33      0.40         4</p>
+</dd>
+</dl>
+<p>weighted avg       0.75      0.50      0.60         4</p>
+<p>Note: this is generally taken from the <cite>classification_report</cite> function
+inside sklearn.
+:param f1_report: f1 report dictionary from sklearn
+:type f1_report: dict
+:param label_names: names of labels included in the report
+:type label_names: list(str)
+:return: string representing f1_report printout
+:rtype: str</p>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.evaluate_accuracy">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.labeler_utils.</span></span><span class="sig-name descname"><span class="pre">evaluate_accuracy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">predicted_entities_in_index</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">true_entities_in_index</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">entity_rev_dict</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">omitted_labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">('PAD',</span> <span class="pre">'UNKNOWN')</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">confusion_matrix_file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.evaluate_accuracy" title="Permalink to this definition">¶</a></dt>
+<dd><p>Evaluate accuracy from comparing predicted labels with true labels.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>predicted_entities_in_index</strong> (<em>list</em><em>(</em><em>array</em><em>(</em><em>int</em><em>)</em><em>)</em>) – predicted encoded labels for input
+sentences</p></li>
+<li><p><strong>true_entities_in_index</strong> (<em>list</em><em>(</em><em>array</em><em>(</em><em>int</em><em>)</em><em>)</em>) – true encoded labels for input sentences</p></li>
+<li><p><strong>entity_rev_dict</strong> (<em>dict</em><em>(</em><em>[</em><em>index</em><em>, </em><em>entity</em><em>]</em><em>)</em>) – dictionary to convert indices to entities</p></li>
+<li><p><strong>verbose</strong> (<em>boolean</em>) – print additional information for debugging</p></li>
+<li><p><strong>omitted_labels</strong> (<em>list</em><em>(</em><em>) </em><em>of text labels</em>) – labels to omit from the accuracy evaluation</p></li>
+<li><p><strong>confusion_matrix_file</strong> (<em>str</em>) – File name (and dir) for confusion matrix</p></li>
+</ul>
+</dd>
+</dl>
+<p>:return : f1-score
+:rtype: float</p>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.get_tf_layer_index_from_name">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.labeler_utils.</span></span><span class="sig-name descname"><span class="pre">get_tf_layer_index_from_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tf.keras.Model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.get_tf_layer_index_from_name" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the index of the layer given the layer name within a tf model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model</strong> – tf keras model to search</p></li>
+<li><p><strong>layer_name</strong> – name of the layer to find</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>layer index if it exists or None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.hide_tf_logger_warnings">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.labeler_utils.</span></span><span class="sig-name descname"><span class="pre">hide_tf_logger_warnings</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.hide_tf_logger_warnings" title="Permalink to this definition">¶</a></dt>
+<dd><p>Filter out a set of warnings from the tf logger.</p>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.protected_register_keras_serializable">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.labeler_utils.</span></span><span class="sig-name descname"><span class="pre">protected_register_keras_serializable</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">package</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'Custom'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Callable</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.protected_register_keras_serializable" title="Permalink to this definition">¶</a></dt>
+<dd><p>Protect against already registered keras serializable layers.</p>
+<p>Ensures that if it was already registered, it will not try to
+register it again.</p>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.labeler_utils.</span></span><span class="sig-name descname"><span class="pre">FBetaScore</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">keras.src.metrics.base_metric.Metric</span></code></p>
+<p>Computes F-Beta score.</p>
+<p>Adapted and slightly modified from <a class="reference external" href="https://github.com/tensorflow/addons/blob/v0.12.0/tensorflow_addons/metrics/f_scores.py#L211-L283">https://github.com/tensorflow/addons/blob/v0.12.0/tensorflow_addons/metrics/f_scores.py#L211-L283</a></p>
+<p># Copyright 2019 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     <a class="reference external" href="http://www.apache.org/licenses/LICENSE-2.0">http://www.apache.org/licenses/LICENSE-2.0</a>
+#     <a class="reference external" href="https://github.com/tensorflow/addons/blob/v0.12.0/LICENSE">https://github.com/tensorflow/addons/blob/v0.12.0/LICENSE</a>
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================</p>
+<p>It is the weighted harmonic mean of precision
+and recall. Output range is <cite>[0, 1]</cite>. Works for
+both multi-class and multi-label classification.
+$$
+F_{beta} = (1 + beta^2) * frac{textrm{precision} *
+textrm{precision}}{(beta^2 cdot textrm{precision}) + textrm{recall}}
+$$
+:param num_classes: Number of unique classes in the dataset.
+:param average: Type of averaging to be performed on data.</p>
+<blockquote>
+<div><p>Acceptable values are <cite>None</cite>, <cite>micro</cite>, <cite>macro</cite> and
+<cite>weighted</cite>. Default value is None.</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>beta</strong> – Determines the weight of precision and recall
+in harmonic mean. Determines the weight given to the
+precision and recall. Default value is 1.</p></li>
+<li><p><strong>threshold</strong> – Elements of <cite>y_pred</cite> greater than threshold are
+converted to be 1, and the rest 0. If threshold is
+None, the argmax is converted to 1, and the rest 0.</p></li>
+<li><p><strong>name</strong> – (Optional) String name of the metric instance.</p></li>
+<li><p><strong>dtype</strong> – (Optional) Data type of the metric result.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>float.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>F-Beta Score</p>
+</dd>
+</dl>
+<p>Initialize FBetaScore class.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.update_state">
+<span class="sig-name descname"><span class="pre">update_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tf.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tf.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_weight</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tf.Tensor</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.update_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update state.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.result">
+<span class="sig-name descname"><span class="pre">result</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tensorflow.python.framework.ops.Tensor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.result" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return f1 score.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the serializable config of the metric.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.reset_state">
+<span class="sig-name descname"><span class="pre">reset_state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.reset_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset state.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.activity_regularizer">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">activity_regularizer</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.activity_regularizer" title="Permalink to this definition">¶</a></dt>
+<dd><p>Optional regularizer function for the output of this layer.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.add_loss">
+<span class="sig-name descname"><span class="pre">add_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">losses</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.add_loss" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add loss tensor(s), potentially dependent on layer inputs.</p>
+<p>Some losses (for instance, activity regularization losses) may be
+dependent on the inputs passed when calling a layer. Hence, when reusing
+the same layer on different inputs <cite>a</cite> and <cite>b</cite>, some entries in
+<cite>layer.losses</cite> may be dependent on <cite>a</cite> and some on <cite>b</cite>. This method
+automatically keeps track of dependencies.</p>
+<p>This method can be used inside a subclassed layer or model’s <cite>call</cite>
+function, in which case <cite>losses</cite> should be a Tensor or list of Tensors.</p>
+<p>Example:</p>
+<p><a href="#id1"><span class="problematic" id="id2">``</span></a><a href="#id3"><span class="problematic" id="id4">`</span></a>python
+class MyLayer(tf.keras.layers.Layer):</p>
+<blockquote>
+<div><dl class="simple">
+<dt>def call(self, inputs):</dt><dd><p>self.add_loss(tf.abs(tf.reduce_mean(inputs)))
+return inputs</p>
+</dd>
+</dl>
+</div></blockquote>
+<p><a href="#id5"><span class="problematic" id="id6">``</span></a><a href="#id7"><span class="problematic" id="id8">`</span></a></p>
+<p>The same code works in distributed training: the input to <cite>add_loss()</cite>
+is treated like a regularization loss and averaged across replicas
+by the training loop (both built-in <cite>Model.fit()</cite> and compliant custom
+training loops).</p>
+<p>The <cite>add_loss</cite> method can also be called directly on a Functional Model
+during construction. In this case, any loss Tensors passed to this Model
+must be symbolic and be able to be traced back to the model’s <cite>Input`s.
+These losses become part of the model’s topology and are tracked in
+`get_config</cite>.</p>
+<p>Example:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">#</span> <span class="pre">Activity</span> <span class="pre">regularization.</span>
+<span class="pre">model.add_loss(tf.abs(tf.reduce_mean(x)))</span>
+<span class="pre">`</span></code></p>
+<p>If this is not the case for your loss (if, for example, your loss
+references a <cite>Variable</cite> of one of the model’s layers), you can wrap your
+loss in a zero-argument lambda. These losses are not tracked as part of
+the model’s topology since they can’t be serialized.</p>
+<p>Example:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">d</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">d(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">#</span> <span class="pre">Weight</span> <span class="pre">regularization.</span>
+<span class="pre">model.add_loss(lambda:</span> <span class="pre">tf.reduce_mean(d.kernel))</span>
+<span class="pre">`</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>losses</strong> – Loss tensor, or list/tuple of tensors. Rather than tensors,
+losses may also be zero-argument callables which create a loss
+tensor.</p></li>
+<li><p><strong>**kwargs</strong> – Used for backwards compatibility only.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.add_metric">
+<span class="sig-name descname"><span class="pre">add_metric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.add_metric" title="Permalink to this definition">¶</a></dt>
+<dd><p>Adds metric tensor to the layer.</p>
+<p>This method can be used inside the <cite>call()</cite> method of a subclassed layer
+or model.</p>
+<p><a href="#id9"><span class="problematic" id="id10">``</span></a><a href="#id11"><span class="problematic" id="id12">`</span></a>python
+class MyMetricLayer(tf.keras.layers.Layer):</p>
+<blockquote>
+<div><dl class="simple">
+<dt>def __init__(self):</dt><dd><p>super(MyMetricLayer, self).__init__(name=’my_metric_layer’)
+self.mean = tf.keras.metrics.Mean(name=’metric_1’)</p>
+</dd>
+<dt>def call(self, inputs):</dt><dd><p>self.add_metric(self.mean(inputs))
+self.add_metric(tf.reduce_sum(inputs), name=’metric_2’)
+return inputs</p>
+</dd>
+</dl>
+</div></blockquote>
+<p><a href="#id13"><span class="problematic" id="id14">``</span></a><a href="#id15"><span class="problematic" id="id16">`</span></a></p>
+<p>This method can also be called directly on a Functional Model during
+construction. In this case, any tensor passed to this Model must
+be symbolic and be able to be traced back to the model’s <cite>Input`s. These
+metrics become part of the model’s topology and are tracked when you
+save the model via `save()</cite>.</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">model.add_metric(math_ops.reduce_sum(x),</span> <span class="pre">name='metric_1')</span>
+<span class="pre">`</span></code></p>
+<p>Note: Calling <cite>add_metric()</cite> with the result of a metric object on a
+Functional Model, as shown in the example below, is not supported. This
+is because we cannot trace the metric result tensor back to the model’s
+inputs.</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">model.add_metric(tf.keras.metrics.Mean()(x),</span> <span class="pre">name='metric_1')</span>
+<span class="pre">`</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>value</strong> – Metric tensor.</p></li>
+<li><p><strong>name</strong> – String metric name.</p></li>
+<li><p><strong>**kwargs</strong> – Additional keyword arguments for backward compatibility.
+Accepted values:
+<cite>aggregation</cite> - When the <cite>value</cite> tensor provided is not the result
+of calling a <cite>keras.Metric</cite> instance, it will be aggregated by
+default using a <cite>keras.Metric.Mean</cite>.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.add_update">
+<span class="sig-name descname"><span class="pre">add_update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">updates</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.add_update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add update op(s), potentially dependent on layer inputs.</p>
+<p>Weight updates (for instance, the updates of the moving mean and
+variance in a BatchNormalization layer) may be dependent on the inputs
+passed when calling a layer. Hence, when reusing the same layer on
+different inputs <cite>a</cite> and <cite>b</cite>, some entries in <cite>layer.updates</cite> may be
+dependent on <cite>a</cite> and some on <cite>b</cite>. This method automatically keeps track
+of dependencies.</p>
+<p>This call is ignored when eager execution is enabled (in that case,
+variable updates are run on the fly and thus do not need to be tracked
+for later execution).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>updates</strong> – Update op, or list/tuple of update ops, or zero-arg callable
+that returns an update op. A zero-arg callable should be passed in
+order to disable running the updates by setting <cite>trainable=False</cite>
+on this Layer, when executing in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.add_variable">
+<span class="sig-name descname"><span class="pre">add_variable</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.add_variable" title="Permalink to this definition">¶</a></dt>
+<dd><p>Deprecated, do NOT use! Alias for <cite>add_weight</cite>.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.add_weight">
+<span class="sig-name descname"><span class="pre">add_weight</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">aggregation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">VariableAggregationV2.SUM</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">synchronization</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">VariableSynchronization.ON_READ</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">initializer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.add_weight" title="Permalink to this definition">¶</a></dt>
+<dd><p>Adds state variable. Only for use by subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.build">
+<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.build" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates the variables of the layer (for subclass implementers).</p>
+<p>This is a method that implementers of subclasses of <cite>Layer</cite> or <cite>Model</cite>
+can override if they need a state-creation step in-between
+layer instantiation and layer call. It is invoked automatically before
+the first execution of <cite>call()</cite>.</p>
+<p>This is typically used to create the weights of <cite>Layer</cite> subclasses
+(at the discretion of the subclass implementer).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>input_shape</strong> – Instance of <cite>TensorShape</cite>, or list of instances of
+<cite>TensorShape</cite> if the layer expects a list of inputs
+(one instance per input).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.build_from_config">
+<span class="sig-name descname"><span class="pre">build_from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.build_from_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Builds the layer’s states with the supplied config dict.</p>
+<p>By default, this method calls the <cite>build(config[“input_shape”])</cite> method,
+which creates weights based on the layer’s input shape in the supplied
+config. If your config contains other information needed to load the
+layer’s state, you should override this method.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>config</strong> – Dict containing the input shape associated with this layer.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.call">
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.call" title="Permalink to this definition">¶</a></dt>
+<dd><p>This is where the layer’s logic lives.</p>
+<p>The <cite>call()</cite> method may not create state (except in its first
+invocation, wrapping the creation of variables or other resources in
+<cite>tf.init_scope()</cite>).  It is recommended to create state, including
+<cite>tf.Variable</cite> instances and nested <cite>Layer</cite> instances,</p>
+<blockquote>
+<div><p>in <cite>__init__()</cite>, or in the <cite>build()</cite> method that is</p>
+</div></blockquote>
+<p>called automatically before <cite>call()</cite> executes for the first time.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>inputs</strong> – <p>Input tensor, or dict/list/tuple of input tensors.
+The first positional <cite>inputs</cite> argument is subject to special rules:
+- <cite>inputs</cite> must be explicitly passed. A layer cannot have zero</p>
+<blockquote>
+<div><p>arguments, and <cite>inputs</cite> cannot be provided via the default value
+of a keyword argument.</p>
+</div></blockquote>
+<ul>
+<li><p>NumPy array or Python scalar values in <cite>inputs</cite> get cast as
+tensors.</p></li>
+<li><p>Keras mask metadata is only collected from <cite>inputs</cite>.</p></li>
+<li><p>Layers are built (<cite>build(input_shape)</cite> method)
+using shape info from <cite>inputs</cite> only.</p></li>
+<li><p><cite>input_spec</cite> compatibility is only checked against <cite>inputs</cite>.</p></li>
+<li><p>Mixed precision input casting is only applied to <cite>inputs</cite>.
+If a layer has tensor arguments in <cite>*args</cite> or <cite>**kwargs</cite>, their
+casting behavior in mixed precision should be handled manually.</p></li>
+<li><p>The SavedModel input specification is generated using <cite>inputs</cite>
+only.</p></li>
+<li><p>Integration with various ecosystem packages like TFMOT, TFLite,
+TF.js, etc is only supported for <cite>inputs</cite> and not for tensors in
+positional and keyword arguments.</p></li>
+</ul>
+</p></li>
+<li><p><strong>*args</strong> – Additional positional arguments. May contain tensors, although
+this is not recommended, for the reasons above.</p></li>
+<li><p><strong>**kwargs</strong> – <p>Additional keyword arguments. May contain tensors, although
+this is not recommended, for the reasons above.
+The following optional keyword arguments are reserved:
+- <cite>training</cite>: Boolean scalar tensor of Python boolean indicating</p>
+<blockquote>
+<div><p>whether the <cite>call</cite> is meant for training or inference.</p>
+</div></blockquote>
+<ul>
+<li><p><cite>mask</cite>: Boolean input mask. If the layer’s <cite>call()</cite> method takes a
+<cite>mask</cite> argument, its default value will be set to the mask
+generated for <cite>inputs</cite> by the previous layer (if <cite>input</cite> did come
+from a layer that generated a corresponding mask, i.e. if it came
+from a Keras layer with masking support).</p></li>
+</ul>
+</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A tensor or list/tuple of tensors.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.compute_dtype">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">compute_dtype</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.compute_dtype" title="Permalink to this definition">¶</a></dt>
+<dd><p>The dtype of the layer’s computations.</p>
+<p>This is equivalent to <cite>Layer.dtype_policy.compute_dtype</cite>. Unless
+mixed precision is used, this is the same as <cite>Layer.dtype</cite>, the dtype of
+the weights.</p>
+<p>Layers automatically cast their inputs to the compute dtype, which
+causes computations and the output to be in the compute dtype as well.
+This is done by the base Layer class in <cite>Layer.__call__</cite>, so you do not
+have to insert these casts if implementing your own layer.</p>
+<p>Layers often perform certain internal computations in higher precision
+when <cite>compute_dtype</cite> is float16 or bfloat16 for numeric stability. The
+output will still typically be float16 or bfloat16 in such cases.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The layer’s compute dtype.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.compute_mask">
+<span class="sig-name descname"><span class="pre">compute_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.compute_mask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Computes an output mask tensor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>inputs</strong> – Tensor or list of tensors.</p></li>
+<li><p><strong>mask</strong> – Tensor or list of tensors.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>None or a tensor (or list of tensors,</dt><dd><p>one per output tensor of the layer).</p>
+</dd>
+</dl>
+</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.compute_output_shape">
+<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.compute_output_shape" title="Permalink to this definition">¶</a></dt>
+<dd><p>Computes the output shape of the layer.</p>
+<p>This method will cause the layer’s state to be built, if that has not
+happened before. This requires that the layer will later be used with
+inputs that match the input shape provided here.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>input_shape</strong> – Shape tuple (tuple of integers) or <cite>tf.TensorShape</cite>,
+or structure of shape tuples / <cite>tf.TensorShape</cite> instances
+(one per output tensor of the layer).
+Shape tuples can include None for free dimensions,
+instead of an integer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A <cite>tf.TensorShape</cite> instance
+or structure of <cite>tf.TensorShape</cite> instances.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.compute_output_signature">
+<span class="sig-name descname"><span class="pre">compute_output_signature</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_signature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.compute_output_signature" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute the output tensor signature of the layer based on the inputs.</p>
+<p>Unlike a TensorShape object, a TensorSpec object contains both shape
+and dtype information for a tensor. This method allows layers to provide
+output dtype information if it is different from the input dtype.
+For any layer that doesn’t implement this function,
+the framework will fall back to use <cite>compute_output_shape</cite>, and will
+assume that the output dtype matches the input dtype.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>input_signature</strong> – Single TensorSpec or nested structure of TensorSpec
+objects, describing a candidate input for the layer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>Single TensorSpec or nested structure of TensorSpec objects,</dt><dd><p>describing how the layer would transform the provided input.</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>TypeError</strong> – If input_signature contains a non-TensorSpec object.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.count_params">
+<span class="sig-name descname"><span class="pre">count_params</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.count_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Count the total number of scalars composing the weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>An integer count.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p><strong>ValueError</strong> – if the layer isn’t yet built
+    (in which case its weights aren’t yet defined).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.dtype">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">dtype</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.dtype" title="Permalink to this definition">¶</a></dt>
+<dd><p>The dtype of the layer weights.</p>
+<p>This is equivalent to <cite>Layer.dtype_policy.variable_dtype</cite>. Unless
+mixed precision is used, this is the same as <cite>Layer.compute_dtype</cite>, the
+dtype of the layer’s computations.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.dtype_policy">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">dtype_policy</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.dtype_policy" title="Permalink to this definition">¶</a></dt>
+<dd><p>The dtype policy associated with this layer.</p>
+<p>This is an instance of a <cite>tf.keras.mixed_precision.Policy</cite>.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.dynamic">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">dynamic</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.dynamic" title="Permalink to this definition">¶</a></dt>
+<dd><p>Whether the layer is dynamic (eager-only); set in the constructor.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.finalize_state">
+<span class="sig-name descname"><span class="pre">finalize_state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.finalize_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Finalizes the layers state after updating layer weights.</p>
+<p>This function can be subclassed in a layer and will be called after
+updating a layer weights. It can be overridden to finalize any
+additional layer state after a weight update.</p>
+<p>This function will be called after weights of a layer have been restored
+from a loaded model.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.from_config">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.from_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates a layer from its config.</p>
+<p>This method is the reverse of <cite>get_config</cite>,
+capable of instantiating the same layer from the config
+dictionary. It does not handle layer connectivity
+(handled by Network), nor weights (handled by <cite>set_weights</cite>).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>config</strong> – A Python dictionary, typically the
+output of get_config.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A layer instance.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_build_config">
+<span class="sig-name descname"><span class="pre">get_build_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_build_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns a dictionary with the layer’s input shape.</p>
+<p>This method returns a config dict that can be used by
+<cite>build_from_config(config)</cite> to create all states (e.g. Variables and
+Lookup tables) needed by the layer.</p>
+<p>By default, the config only contains the input shape that the layer
+was built with. If you’re writing a custom layer that creates state in
+an unusual way, you should override this method to make sure this state
+is already created when Keras attempts to load its value upon model
+loading.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A dict containing the input shape associated with the layer.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_input_at">
+<span class="sig-name descname"><span class="pre">get_input_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_input_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first input node of the layer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A tensor (or list of tensors if the layer has multiple inputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_input_mask_at">
+<span class="sig-name descname"><span class="pre">get_input_mask_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_input_mask_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input mask tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A mask tensor
+(or list of tensors if the layer has multiple inputs).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_input_shape_at">
+<span class="sig-name descname"><span class="pre">get_input_shape_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_input_shape_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input shape(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A shape tuple
+(or list of shape tuples if the layer has multiple inputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_output_at">
+<span class="sig-name descname"><span class="pre">get_output_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_output_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first output node of the layer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A tensor (or list of tensors if the layer has multiple outputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_output_mask_at">
+<span class="sig-name descname"><span class="pre">get_output_mask_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_output_mask_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output mask tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A mask tensor
+(or list of tensors if the layer has multiple outputs).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_output_shape_at">
+<span class="sig-name descname"><span class="pre">get_output_shape_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_output_shape_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output shape(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A shape tuple
+(or list of shape tuples if the layer has multiple outputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_weights">
+<span class="sig-name descname"><span class="pre">get_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns the current weights of the layer, as NumPy arrays.</p>
+<p>The weights of a layer represent the state of the layer. This function
+returns both trainable and non-trainable weight values associated with
+this layer as a list of NumPy arrays, which can in turn be used to load
+state into similarly parameterized layers.</p>
+<p>For example, a <cite>Dense</cite> layer returns a list of two values: the kernel
+matrix and the bias vector. These can be used to set the weights of
+another <cite>Dense</cite> layer:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">1.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_out</span> <span class="o">=</span> <span class="n">layer_a</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">3.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">2.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_out</span> <span class="o">=</span> <span class="n">layer_b</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">10.</span><span class="p">,</span> <span class="mf">20.</span><span class="p">,</span> <span class="mf">30.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[2.],</span>
+<span class="go">       [2.],</span>
+<span class="go">       [2.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">set_weights</span><span class="p">(</span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">())</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Weights values as a list of NumPy arrays.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.inbound_nodes">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">inbound_nodes</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.inbound_nodes" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return Functional API nodes upstream of this layer.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.input">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.input" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one input,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Input tensor or list of input tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>RuntimeError</strong> – If called in Eager mode.</p></li>
+<li><p><strong>AttributeError</strong> – If no inbound nodes are found.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.input_mask">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input_mask</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.input_mask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input mask tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one inbound node,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Input mask tensor (potentially None) or list of input
+mask tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer is connected to</p></li>
+<li><p><strong>more than one incoming layers.</strong> – </p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.input_shape">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input_shape</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.input_shape" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input shape(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one input,
+i.e. if it is connected to one incoming layer, or if all inputs
+have the same shape.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Input shape, as an integer shape tuple
+(or list of shape tuples, one tuple per input tensor).</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer has no defined input_shape.</p></li>
+<li><p><strong>RuntimeError</strong> – if called in Eager mode.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.input_spec">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input_spec</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.input_spec" title="Permalink to this definition">¶</a></dt>
+<dd><p><cite>InputSpec</cite> instance(s) describing the input format for this layer.</p>
+<p>When you create a layer subclass, you can set <cite>self.input_spec</cite> to
+enable the layer to run input compatibility checks when it is called.
+Consider a <cite>Conv2D</cite> layer: it can only be called on a single input
+tensor of rank 4. As such, you can set, in <cite>__init__()</cite>:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">self.input_spec</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.InputSpec(ndim=4)</span>
+<span class="pre">`</span></code></p>
+<p>Now, if you try to call the layer on an input that isn’t rank 4
+(for instance, an input of shape <cite>(2,)</cite>, it will raise a
+nicely-formatted error:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`</span>
+<span class="pre">ValueError:</span> <span class="pre">Input</span> <span class="pre">0</span> <span class="pre">of</span> <span class="pre">layer</span> <span class="pre">conv2d</span> <span class="pre">is</span> <span class="pre">incompatible</span> <span class="pre">with</span> <span class="pre">the</span> <span class="pre">layer:</span>
+<span class="pre">expected</span> <span class="pre">ndim=4,</span> <span class="pre">found</span> <span class="pre">ndim=1.</span> <span class="pre">Full</span> <span class="pre">shape</span> <span class="pre">received:</span> <span class="pre">[2]</span>
+<span class="pre">`</span></code></p>
+<p>Input checks that can be specified via <cite>input_spec</cite> include:
+- Structure (e.g. a single input, a list of 2 inputs, etc)
+- Shape
+- Rank (ndim)
+- Dtype</p>
+<p>For more information, see <cite>tf.keras.layers.InputSpec</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A <cite>tf.keras.layers.InputSpec</cite> instance, or nested structure thereof.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.load_own_variables">
+<span class="sig-name descname"><span class="pre">load_own_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">store</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.load_own_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Loads the state of the layer.</p>
+<p>You can override this method to take full control of how the state of
+the layer is loaded upon calling <cite>keras.models.load_model()</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>store</strong> – Dict from which the state of the model will be loaded.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.losses">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">losses</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.losses" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of losses added using the <cite>add_loss()</cite> API.</p>
+<p>Variable regularization tensors are created when this property is
+accessed, so it is eager safe: accessing <cite>losses</cite> under a
+<cite>tf.GradientTape</cite> will propagate gradients back to the corresponding
+variables.</p>
+<p>Examples:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="k">class</span> <span class="nc">MyLayer</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<span class="gp">... </span>  <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">):</span>
+<span class="gp">... </span>    <span class="bp">self</span><span class="o">.</span><span class="n">add_loss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">inputs</span><span class="p">)))</span>
+<span class="gp">... </span>    <span class="k">return</span> <span class="n">inputs</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">l</span> <span class="o">=</span> <span class="n">MyLayer</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">l</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">((</span><span class="mi">10</span><span class="p">,</span> <span class="mi">1</span><span class="p">)))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">l</span><span class="o">.</span><span class="n">losses</span>
+<span class="go">[1.0]</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">inputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Input</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">10</span><span class="p">)(</span><span class="n">inputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">outputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">)(</span><span class="n">x</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">outputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># Activity regularization.</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">len</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">losses</span><span class="p">)</span>
+<span class="go">0</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span><span class="o">.</span><span class="n">add_loss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">x</span><span class="p">)))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">len</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">losses</span><span class="p">)</span>
+<span class="go">1</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">inputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Input</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="n">kernel_initializer</span><span class="o">=</span><span class="s1">'ones'</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">d</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">outputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">)(</span><span class="n">x</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">outputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># Weight regularization.</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span><span class="o">.</span><span class="n">add_loss</span><span class="p">(</span><span class="k">lambda</span><span class="p">:</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">d</span><span class="o">.</span><span class="n">kernel</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span><span class="o">.</span><span class="n">losses</span>
+<span class="go">[&lt;tf.Tensor: shape=(), dtype=float32, numpy=1.0&gt;]</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of tensors.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.merge_state">
+<span class="sig-name descname"><span class="pre">merge_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metrics</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.merge_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Merges the state from one or more metrics.</p>
+<p>This method can be used by distributed systems to merge the state
+computed by different metric instances. Typically the state will be
+stored in the form of the metric’s weights. For example, a
+tf.keras.metrics.Mean metric contains a list of two weight values: a
+total and a count. If there were two instances of a
+tf.keras.metrics.Accuracy that each independently aggregated partial
+state for an overall accuracy calculation, these two metric’s states
+could be combined as follows:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m1</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">Accuracy</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">_</span> <span class="o">=</span> <span class="n">m1</span><span class="o">.</span><span class="n">update_state</span><span class="p">([[</span><span class="mi">1</span><span class="p">],</span> <span class="p">[</span><span class="mi">2</span><span class="p">]],</span> <span class="p">[[</span><span class="mi">0</span><span class="p">],</span> <span class="p">[</span><span class="mi">2</span><span class="p">]])</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m2</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">Accuracy</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">_</span> <span class="o">=</span> <span class="n">m2</span><span class="o">.</span><span class="n">update_state</span><span class="p">([[</span><span class="mi">3</span><span class="p">],</span> <span class="p">[</span><span class="mi">4</span><span class="p">]],</span> <span class="p">[[</span><span class="mi">3</span><span class="p">],</span> <span class="p">[</span><span class="mi">4</span><span class="p">]])</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m2</span><span class="o">.</span><span class="n">merge_state</span><span class="p">([</span><span class="n">m1</span><span class="p">])</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">m2</span><span class="o">.</span><span class="n">result</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
+<span class="go">0.75</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>metrics</strong> – an iterable of metrics. The metrics must have compatible
+state.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p><strong>ValueError</strong> – If the provided iterable does not contain metrics matching
+    the metric’s required specifications.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.metrics">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">metrics</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.metrics" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of metrics added using the <cite>add_metric()</cite> API.</p>
+<p>Example:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="nb">input</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Input</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">output</span> <span class="o">=</span> <span class="n">d</span><span class="p">(</span><span class="nb">input</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">add_metric</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_max</span><span class="p">(</span><span class="n">output</span><span class="p">),</span> <span class="n">name</span><span class="o">=</span><span class="s1">'max'</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">add_metric</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_min</span><span class="p">(</span><span class="n">output</span><span class="p">),</span> <span class="n">name</span><span class="o">=</span><span class="s1">'min'</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="p">[</span><span class="n">m</span><span class="o">.</span><span class="n">name</span> <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="n">d</span><span class="o">.</span><span class="n">metrics</span><span class="p">]</span>
+<span class="go">['max', 'min']</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of <cite>Metric</cite> objects.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.name">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">name</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.name" title="Permalink to this definition">¶</a></dt>
+<dd><p>Name of the layer (string), set in the constructor.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.name_scope">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">name_scope</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.name_scope" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns a <cite>tf.name_scope</cite> instance for this class.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.non_trainable_variables">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">non_trainable_variables</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.non_trainable_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sequence of non-trainable variables owned by this module and its submodules.</p>
+<p>Note: this method uses reflection to find variables on the current instance
+and submodules. For performance reasons you may wish to cache the result
+of calling this method if you don’t expect the return value to change.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A sequence of variables for the current module (sorted by attribute
+name) followed by variables from all submodules recursively (breadth
+first).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.non_trainable_weights">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">non_trainable_weights</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.non_trainable_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of all non-trainable weights tracked by this layer.</p>
+<p>Non-trainable weights are <em>not</em> updated during training. They are
+expected to be updated manually in <cite>call()</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of non-trainable variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.outbound_nodes">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">outbound_nodes</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.outbound_nodes" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return Functional API nodes downstream of this layer.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.output">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.output" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one output,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Output tensor or list of output tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer is connected to more than one incoming
+    layers.</p></li>
+<li><p><strong>RuntimeError</strong> – if called in Eager mode.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.output_mask">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">output_mask</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.output_mask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output mask tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one inbound node,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Output mask tensor (potentially None) or list of output
+mask tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer is connected to</p></li>
+<li><p><strong>more than one incoming layers.</strong> – </p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.output_shape">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">output_shape</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.output_shape" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output shape(s) of a layer.</p>
+<p>Only applicable if the layer has one output,
+or if all outputs have the same shape.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Output shape, as an integer shape tuple
+(or list of shape tuples, one tuple per output tensor).</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer has no defined output shape.</p></li>
+<li><p><strong>RuntimeError</strong> – if called in Eager mode.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.reset_states">
+<span class="sig-name descname"><span class="pre">reset_states</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.reset_states" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.save_own_variables">
+<span class="sig-name descname"><span class="pre">save_own_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">store</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.save_own_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Saves the state of the layer.</p>
+<p>You can override this method to take full control of how the state of
+the layer is saved upon calling <cite>model.save()</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>store</strong> – Dict where the state of the model will be saved.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.set_weights">
+<span class="sig-name descname"><span class="pre">set_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">weights</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.set_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sets the weights of the layer, from NumPy arrays.</p>
+<p>The weights of a layer represent the state of the layer. This function
+sets the weight values from numpy arrays. The weight values should be
+passed in the order they are created by the layer. Note that the layer’s
+weights must be instantiated before calling this function, by calling
+the layer.</p>
+<p>For example, a <cite>Dense</cite> layer returns a list of two values: the kernel
+matrix and the bias vector. These can be used to set the weights of
+another <cite>Dense</cite> layer:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">1.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_out</span> <span class="o">=</span> <span class="n">layer_a</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">3.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">2.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_out</span> <span class="o">=</span> <span class="n">layer_b</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">10.</span><span class="p">,</span> <span class="mf">20.</span><span class="p">,</span> <span class="mf">30.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[2.],</span>
+<span class="go">       [2.],</span>
+<span class="go">       [2.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">set_weights</span><span class="p">(</span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">())</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>weights</strong> – a list of NumPy arrays. The number
+of arrays and their shape must match
+number of the dimensions of the weights
+of the layer (i.e. it should match the
+output of <cite>get_weights</cite>).</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p><strong>ValueError</strong> – If the provided weights list does not match the
+    layer’s specifications.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.stateful">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">stateful</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.stateful" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.submodules">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">submodules</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.submodules" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sequence of all sub-modules.</p>
+<p>Submodules are modules which are properties of this module, or found as
+properties of modules which are properties of this module (and so on).</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">a</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">c</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a</span><span class="o">.</span><span class="n">b</span> <span class="o">=</span> <span class="n">b</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span><span class="o">.</span><span class="n">c</span> <span class="o">=</span> <span class="n">c</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">list</span><span class="p">(</span><span class="n">a</span><span class="o">.</span><span class="n">submodules</span><span class="p">)</span> <span class="o">==</span> <span class="p">[</span><span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">]</span>
+<span class="go">True</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">list</span><span class="p">(</span><span class="n">b</span><span class="o">.</span><span class="n">submodules</span><span class="p">)</span> <span class="o">==</span> <span class="p">[</span><span class="n">c</span><span class="p">]</span>
+<span class="go">True</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">list</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">submodules</span><span class="p">)</span> <span class="o">==</span> <span class="p">[]</span>
+<span class="go">True</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A sequence of all submodules.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.supports_masking">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">supports_masking</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.supports_masking" title="Permalink to this definition">¶</a></dt>
+<dd><p>Whether this layer supports computing a mask using <cite>compute_mask</cite>.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.trainable">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">trainable</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.trainable" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.trainable_variables">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">trainable_variables</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.trainable_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sequence of trainable variables owned by this module and its submodules.</p>
+<p>Note: this method uses reflection to find variables on the current instance
+and submodules. For performance reasons you may wish to cache the result
+of calling this method if you don’t expect the return value to change.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A sequence of variables for the current module (sorted by attribute
+name) followed by variables from all submodules recursively (breadth
+first).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.trainable_weights">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">trainable_weights</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.trainable_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of all trainable weights tracked by this layer.</p>
+<p>Trainable weights are updated via gradient descent during training.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of trainable variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.updates">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">updates</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.updates" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.variable_dtype">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variable_dtype</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.variable_dtype" title="Permalink to this definition">¶</a></dt>
+<dd><p>Alias of <cite>Layer.dtype</cite>, the dtype of the weights.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.variables">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variables</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns the list of all layer variables/weights.</p>
+<p>Alias of <cite>self.weights</cite>.</p>
+<p>Note: This will not track the weights of nested <cite>tf.Modules</cite> that are
+not themselves Keras layers.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.weights">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">weights</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns the list of all layer variables/weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.with_name_scope">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">with_name_scope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.with_name_scope" title="Permalink to this definition">¶</a></dt>
+<dd><p>Decorator to automatically enter the module name scope.</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="k">class</span> <span class="nc">MyModule</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+<span class="gp">... </span>  <span class="nd">@tf</span><span class="o">.</span><span class="n">Module</span><span class="o">.</span><span class="n">with_name_scope</span>
+<span class="gp">... </span>  <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+<span class="gp">... </span>    <span class="k">if</span> <span class="ow">not</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s1">'w'</span><span class="p">):</span>
+<span class="gp">... </span>      <span class="bp">self</span><span class="o">.</span><span class="n">w</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">normal</span><span class="p">([</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">3</span><span class="p">]))</span>
+<span class="gp">... </span>    <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">w</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>Using the above module would produce <a href="#id17"><span class="problematic" id="id18">`</span></a>tf.Variable`s and <a href="#id19"><span class="problematic" id="id20">`</span></a>tf.Tensor`s whose
+names included the module name:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">mod</span> <span class="o">=</span> <span class="n">MyModule</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">mod</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">ones</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]))</span>
+<span class="go">&lt;tf.Tensor: shape=(1, 3), dtype=float32, numpy=..., dtype=float32)&gt;</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">mod</span><span class="o">.</span><span class="n">w</span>
+<span class="go">&lt;tf.Variable 'my_module/Variable:0' shape=(2, 3) dtype=float32,</span>
+<span class="go">numpy=..., dtype=float32)&gt;</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>method</strong> – The method to wrap.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>The original method wrapped such that it enters the module’s name scope.</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.labeler_utils.</span></span><span class="sig-name descname"><span class="pre">F1Score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.labeler_utils.FBetaScore" title="dataprofiler.labelers.labeler_utils.FBetaScore"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.labeler_utils.FBetaScore</span></code></a></p>
+<p>Computes F-1 Score.</p>
+<p># Copyright 2019 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     <a class="reference external" href="http://www.apache.org/licenses/LICENSE-2.0">http://www.apache.org/licenses/LICENSE-2.0</a>
+#     <a class="reference external" href="https://github.com/tensorflow/addons/blob/v0.12.0/LICENSE">https://github.com/tensorflow/addons/blob/v0.12.0/LICENSE</a>
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================</p>
+<p>It is the harmonic mean of precision and recall.
+Output range is <cite>[0, 1]</cite>. Works for both multi-class
+and multi-label classification.
+$$
+F_1 = 2 cdot frac{textrm{precision}
+cdot textrm{recall}}{textrm{precision} + textrm{recall}}
+$$
+:param num_classes: Number of unique classes in the dataset.
+:param average: Type of averaging to be performed on data.</p>
+<blockquote>
+<div><p>Acceptable values are <cite>None</cite>, <cite>micro</cite>, <cite>macro</cite>
+and <cite>weighted</cite>. Default value is None.</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>threshold</strong> – Elements of <cite>y_pred</cite> above threshold are
+considered to be 1, and the rest 0. If threshold is
+None, the argmax is converted to 1, and the rest 0.</p></li>
+<li><p><strong>name</strong> – (Optional) String name of the metric instance.</p></li>
+<li><p><strong>dtype</strong> – (Optional) Data type of the metric result.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>float.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>F-1 Score</p>
+</dd>
+</dl>
+<p>Initialize F1Score object.</p>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.activity_regularizer">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">activity_regularizer</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.activity_regularizer" title="Permalink to this definition">¶</a></dt>
+<dd><p>Optional regularizer function for the output of this layer.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.add_loss">
+<span class="sig-name descname"><span class="pre">add_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">losses</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.add_loss" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add loss tensor(s), potentially dependent on layer inputs.</p>
+<p>Some losses (for instance, activity regularization losses) may be
+dependent on the inputs passed when calling a layer. Hence, when reusing
+the same layer on different inputs <cite>a</cite> and <cite>b</cite>, some entries in
+<cite>layer.losses</cite> may be dependent on <cite>a</cite> and some on <cite>b</cite>. This method
+automatically keeps track of dependencies.</p>
+<p>This method can be used inside a subclassed layer or model’s <cite>call</cite>
+function, in which case <cite>losses</cite> should be a Tensor or list of Tensors.</p>
+<p>Example:</p>
+<p><a href="#id21"><span class="problematic" id="id22">``</span></a><a href="#id23"><span class="problematic" id="id24">`</span></a>python
+class MyLayer(tf.keras.layers.Layer):</p>
+<blockquote>
+<div><dl class="simple">
+<dt>def call(self, inputs):</dt><dd><p>self.add_loss(tf.abs(tf.reduce_mean(inputs)))
+return inputs</p>
+</dd>
+</dl>
+</div></blockquote>
+<p><a href="#id25"><span class="problematic" id="id26">``</span></a><a href="#id27"><span class="problematic" id="id28">`</span></a></p>
+<p>The same code works in distributed training: the input to <cite>add_loss()</cite>
+is treated like a regularization loss and averaged across replicas
+by the training loop (both built-in <cite>Model.fit()</cite> and compliant custom
+training loops).</p>
+<p>The <cite>add_loss</cite> method can also be called directly on a Functional Model
+during construction. In this case, any loss Tensors passed to this Model
+must be symbolic and be able to be traced back to the model’s <cite>Input`s.
+These losses become part of the model’s topology and are tracked in
+`get_config</cite>.</p>
+<p>Example:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">#</span> <span class="pre">Activity</span> <span class="pre">regularization.</span>
+<span class="pre">model.add_loss(tf.abs(tf.reduce_mean(x)))</span>
+<span class="pre">`</span></code></p>
+<p>If this is not the case for your loss (if, for example, your loss
+references a <cite>Variable</cite> of one of the model’s layers), you can wrap your
+loss in a zero-argument lambda. These losses are not tracked as part of
+the model’s topology since they can’t be serialized.</p>
+<p>Example:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">d</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">d(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">#</span> <span class="pre">Weight</span> <span class="pre">regularization.</span>
+<span class="pre">model.add_loss(lambda:</span> <span class="pre">tf.reduce_mean(d.kernel))</span>
+<span class="pre">`</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>losses</strong> – Loss tensor, or list/tuple of tensors. Rather than tensors,
+losses may also be zero-argument callables which create a loss
+tensor.</p></li>
+<li><p><strong>**kwargs</strong> – Used for backwards compatibility only.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.add_metric">
+<span class="sig-name descname"><span class="pre">add_metric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.add_metric" title="Permalink to this definition">¶</a></dt>
+<dd><p>Adds metric tensor to the layer.</p>
+<p>This method can be used inside the <cite>call()</cite> method of a subclassed layer
+or model.</p>
+<p><a href="#id29"><span class="problematic" id="id30">``</span></a><a href="#id31"><span class="problematic" id="id32">`</span></a>python
+class MyMetricLayer(tf.keras.layers.Layer):</p>
+<blockquote>
+<div><dl class="simple">
+<dt>def __init__(self):</dt><dd><p>super(MyMetricLayer, self).__init__(name=’my_metric_layer’)
+self.mean = tf.keras.metrics.Mean(name=’metric_1’)</p>
+</dd>
+<dt>def call(self, inputs):</dt><dd><p>self.add_metric(self.mean(inputs))
+self.add_metric(tf.reduce_sum(inputs), name=’metric_2’)
+return inputs</p>
+</dd>
+</dl>
+</div></blockquote>
+<p><a href="#id33"><span class="problematic" id="id34">``</span></a><a href="#id35"><span class="problematic" id="id36">`</span></a></p>
+<p>This method can also be called directly on a Functional Model during
+construction. In this case, any tensor passed to this Model must
+be symbolic and be able to be traced back to the model’s <cite>Input`s. These
+metrics become part of the model’s topology and are tracked when you
+save the model via `save()</cite>.</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">model.add_metric(math_ops.reduce_sum(x),</span> <span class="pre">name='metric_1')</span>
+<span class="pre">`</span></code></p>
+<p>Note: Calling <cite>add_metric()</cite> with the result of a metric object on a
+Functional Model, as shown in the example below, is not supported. This
+is because we cannot trace the metric result tensor back to the model’s
+inputs.</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">model.add_metric(tf.keras.metrics.Mean()(x),</span> <span class="pre">name='metric_1')</span>
+<span class="pre">`</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>value</strong> – Metric tensor.</p></li>
+<li><p><strong>name</strong> – String metric name.</p></li>
+<li><p><strong>**kwargs</strong> – Additional keyword arguments for backward compatibility.
+Accepted values:
+<cite>aggregation</cite> - When the <cite>value</cite> tensor provided is not the result
+of calling a <cite>keras.Metric</cite> instance, it will be aggregated by
+default using a <cite>keras.Metric.Mean</cite>.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.add_update">
+<span class="sig-name descname"><span class="pre">add_update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">updates</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.add_update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add update op(s), potentially dependent on layer inputs.</p>
+<p>Weight updates (for instance, the updates of the moving mean and
+variance in a BatchNormalization layer) may be dependent on the inputs
+passed when calling a layer. Hence, when reusing the same layer on
+different inputs <cite>a</cite> and <cite>b</cite>, some entries in <cite>layer.updates</cite> may be
+dependent on <cite>a</cite> and some on <cite>b</cite>. This method automatically keeps track
+of dependencies.</p>
+<p>This call is ignored when eager execution is enabled (in that case,
+variable updates are run on the fly and thus do not need to be tracked
+for later execution).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>updates</strong> – Update op, or list/tuple of update ops, or zero-arg callable
+that returns an update op. A zero-arg callable should be passed in
+order to disable running the updates by setting <cite>trainable=False</cite>
+on this Layer, when executing in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.add_variable">
+<span class="sig-name descname"><span class="pre">add_variable</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.add_variable" title="Permalink to this definition">¶</a></dt>
+<dd><p>Deprecated, do NOT use! Alias for <cite>add_weight</cite>.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.add_weight">
+<span class="sig-name descname"><span class="pre">add_weight</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">aggregation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">VariableAggregationV2.SUM</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">synchronization</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">VariableSynchronization.ON_READ</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">initializer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.add_weight" title="Permalink to this definition">¶</a></dt>
+<dd><p>Adds state variable. Only for use by subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.build">
+<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.build" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates the variables of the layer (for subclass implementers).</p>
+<p>This is a method that implementers of subclasses of <cite>Layer</cite> or <cite>Model</cite>
+can override if they need a state-creation step in-between
+layer instantiation and layer call. It is invoked automatically before
+the first execution of <cite>call()</cite>.</p>
+<p>This is typically used to create the weights of <cite>Layer</cite> subclasses
+(at the discretion of the subclass implementer).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>input_shape</strong> – Instance of <cite>TensorShape</cite>, or list of instances of
+<cite>TensorShape</cite> if the layer expects a list of inputs
+(one instance per input).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.build_from_config">
+<span class="sig-name descname"><span class="pre">build_from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.build_from_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Builds the layer’s states with the supplied config dict.</p>
+<p>By default, this method calls the <cite>build(config[“input_shape”])</cite> method,
+which creates weights based on the layer’s input shape in the supplied
+config. If your config contains other information needed to load the
+layer’s state, you should override this method.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>config</strong> – Dict containing the input shape associated with this layer.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.call">
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.call" title="Permalink to this definition">¶</a></dt>
+<dd><p>This is where the layer’s logic lives.</p>
+<p>The <cite>call()</cite> method may not create state (except in its first
+invocation, wrapping the creation of variables or other resources in
+<cite>tf.init_scope()</cite>).  It is recommended to create state, including
+<cite>tf.Variable</cite> instances and nested <cite>Layer</cite> instances,</p>
+<blockquote>
+<div><p>in <cite>__init__()</cite>, or in the <cite>build()</cite> method that is</p>
+</div></blockquote>
+<p>called automatically before <cite>call()</cite> executes for the first time.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>inputs</strong> – <p>Input tensor, or dict/list/tuple of input tensors.
+The first positional <cite>inputs</cite> argument is subject to special rules:
+- <cite>inputs</cite> must be explicitly passed. A layer cannot have zero</p>
+<blockquote>
+<div><p>arguments, and <cite>inputs</cite> cannot be provided via the default value
+of a keyword argument.</p>
+</div></blockquote>
+<ul>
+<li><p>NumPy array or Python scalar values in <cite>inputs</cite> get cast as
+tensors.</p></li>
+<li><p>Keras mask metadata is only collected from <cite>inputs</cite>.</p></li>
+<li><p>Layers are built (<cite>build(input_shape)</cite> method)
+using shape info from <cite>inputs</cite> only.</p></li>
+<li><p><cite>input_spec</cite> compatibility is only checked against <cite>inputs</cite>.</p></li>
+<li><p>Mixed precision input casting is only applied to <cite>inputs</cite>.
+If a layer has tensor arguments in <cite>*args</cite> or <cite>**kwargs</cite>, their
+casting behavior in mixed precision should be handled manually.</p></li>
+<li><p>The SavedModel input specification is generated using <cite>inputs</cite>
+only.</p></li>
+<li><p>Integration with various ecosystem packages like TFMOT, TFLite,
+TF.js, etc is only supported for <cite>inputs</cite> and not for tensors in
+positional and keyword arguments.</p></li>
+</ul>
+</p></li>
+<li><p><strong>*args</strong> – Additional positional arguments. May contain tensors, although
+this is not recommended, for the reasons above.</p></li>
+<li><p><strong>**kwargs</strong> – <p>Additional keyword arguments. May contain tensors, although
+this is not recommended, for the reasons above.
+The following optional keyword arguments are reserved:
+- <cite>training</cite>: Boolean scalar tensor of Python boolean indicating</p>
+<blockquote>
+<div><p>whether the <cite>call</cite> is meant for training or inference.</p>
+</div></blockquote>
+<ul>
+<li><p><cite>mask</cite>: Boolean input mask. If the layer’s <cite>call()</cite> method takes a
+<cite>mask</cite> argument, its default value will be set to the mask
+generated for <cite>inputs</cite> by the previous layer (if <cite>input</cite> did come
+from a layer that generated a corresponding mask, i.e. if it came
+from a Keras layer with masking support).</p></li>
+</ul>
+</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A tensor or list/tuple of tensors.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.compute_dtype">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">compute_dtype</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.compute_dtype" title="Permalink to this definition">¶</a></dt>
+<dd><p>The dtype of the layer’s computations.</p>
+<p>This is equivalent to <cite>Layer.dtype_policy.compute_dtype</cite>. Unless
+mixed precision is used, this is the same as <cite>Layer.dtype</cite>, the dtype of
+the weights.</p>
+<p>Layers automatically cast their inputs to the compute dtype, which
+causes computations and the output to be in the compute dtype as well.
+This is done by the base Layer class in <cite>Layer.__call__</cite>, so you do not
+have to insert these casts if implementing your own layer.</p>
+<p>Layers often perform certain internal computations in higher precision
+when <cite>compute_dtype</cite> is float16 or bfloat16 for numeric stability. The
+output will still typically be float16 or bfloat16 in such cases.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The layer’s compute dtype.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.compute_mask">
+<span class="sig-name descname"><span class="pre">compute_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.compute_mask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Computes an output mask tensor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>inputs</strong> – Tensor or list of tensors.</p></li>
+<li><p><strong>mask</strong> – Tensor or list of tensors.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>None or a tensor (or list of tensors,</dt><dd><p>one per output tensor of the layer).</p>
+</dd>
+</dl>
+</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.compute_output_shape">
+<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.compute_output_shape" title="Permalink to this definition">¶</a></dt>
+<dd><p>Computes the output shape of the layer.</p>
+<p>This method will cause the layer’s state to be built, if that has not
+happened before. This requires that the layer will later be used with
+inputs that match the input shape provided here.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>input_shape</strong> – Shape tuple (tuple of integers) or <cite>tf.TensorShape</cite>,
+or structure of shape tuples / <cite>tf.TensorShape</cite> instances
+(one per output tensor of the layer).
+Shape tuples can include None for free dimensions,
+instead of an integer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A <cite>tf.TensorShape</cite> instance
+or structure of <cite>tf.TensorShape</cite> instances.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.compute_output_signature">
+<span class="sig-name descname"><span class="pre">compute_output_signature</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_signature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.compute_output_signature" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute the output tensor signature of the layer based on the inputs.</p>
+<p>Unlike a TensorShape object, a TensorSpec object contains both shape
+and dtype information for a tensor. This method allows layers to provide
+output dtype information if it is different from the input dtype.
+For any layer that doesn’t implement this function,
+the framework will fall back to use <cite>compute_output_shape</cite>, and will
+assume that the output dtype matches the input dtype.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>input_signature</strong> – Single TensorSpec or nested structure of TensorSpec
+objects, describing a candidate input for the layer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>Single TensorSpec or nested structure of TensorSpec objects,</dt><dd><p>describing how the layer would transform the provided input.</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>TypeError</strong> – If input_signature contains a non-TensorSpec object.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.count_params">
+<span class="sig-name descname"><span class="pre">count_params</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.count_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Count the total number of scalars composing the weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>An integer count.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p><strong>ValueError</strong> – if the layer isn’t yet built
+    (in which case its weights aren’t yet defined).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.dtype">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">dtype</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.dtype" title="Permalink to this definition">¶</a></dt>
+<dd><p>The dtype of the layer weights.</p>
+<p>This is equivalent to <cite>Layer.dtype_policy.variable_dtype</cite>. Unless
+mixed precision is used, this is the same as <cite>Layer.compute_dtype</cite>, the
+dtype of the layer’s computations.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.dtype_policy">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">dtype_policy</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.dtype_policy" title="Permalink to this definition">¶</a></dt>
+<dd><p>The dtype policy associated with this layer.</p>
+<p>This is an instance of a <cite>tf.keras.mixed_precision.Policy</cite>.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.dynamic">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">dynamic</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.dynamic" title="Permalink to this definition">¶</a></dt>
+<dd><p>Whether the layer is dynamic (eager-only); set in the constructor.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.finalize_state">
+<span class="sig-name descname"><span class="pre">finalize_state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.finalize_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Finalizes the layers state after updating layer weights.</p>
+<p>This function can be subclassed in a layer and will be called after
+updating a layer weights. It can be overridden to finalize any
+additional layer state after a weight update.</p>
+<p>This function will be called after weights of a layer have been restored
+from a loaded model.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.from_config">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.from_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates a layer from its config.</p>
+<p>This method is the reverse of <cite>get_config</cite>,
+capable of instantiating the same layer from the config
+dictionary. It does not handle layer connectivity
+(handled by Network), nor weights (handled by <cite>set_weights</cite>).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>config</strong> – A Python dictionary, typically the
+output of get_config.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A layer instance.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_build_config">
+<span class="sig-name descname"><span class="pre">get_build_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_build_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns a dictionary with the layer’s input shape.</p>
+<p>This method returns a config dict that can be used by
+<cite>build_from_config(config)</cite> to create all states (e.g. Variables and
+Lookup tables) needed by the layer.</p>
+<p>By default, the config only contains the input shape that the layer
+was built with. If you’re writing a custom layer that creates state in
+an unusual way, you should override this method to make sure this state
+is already created when Keras attempts to load its value upon model
+loading.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A dict containing the input shape associated with the layer.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_input_at">
+<span class="sig-name descname"><span class="pre">get_input_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_input_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first input node of the layer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A tensor (or list of tensors if the layer has multiple inputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_input_mask_at">
+<span class="sig-name descname"><span class="pre">get_input_mask_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_input_mask_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input mask tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A mask tensor
+(or list of tensors if the layer has multiple inputs).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_input_shape_at">
+<span class="sig-name descname"><span class="pre">get_input_shape_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_input_shape_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input shape(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A shape tuple
+(or list of shape tuples if the layer has multiple inputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_output_at">
+<span class="sig-name descname"><span class="pre">get_output_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_output_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first output node of the layer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A tensor (or list of tensors if the layer has multiple outputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_output_mask_at">
+<span class="sig-name descname"><span class="pre">get_output_mask_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_output_mask_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output mask tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A mask tensor
+(or list of tensors if the layer has multiple outputs).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_output_shape_at">
+<span class="sig-name descname"><span class="pre">get_output_shape_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_output_shape_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output shape(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A shape tuple
+(or list of shape tuples if the layer has multiple outputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_weights">
+<span class="sig-name descname"><span class="pre">get_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns the current weights of the layer, as NumPy arrays.</p>
+<p>The weights of a layer represent the state of the layer. This function
+returns both trainable and non-trainable weight values associated with
+this layer as a list of NumPy arrays, which can in turn be used to load
+state into similarly parameterized layers.</p>
+<p>For example, a <cite>Dense</cite> layer returns a list of two values: the kernel
+matrix and the bias vector. These can be used to set the weights of
+another <cite>Dense</cite> layer:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">1.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_out</span> <span class="o">=</span> <span class="n">layer_a</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">3.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">2.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_out</span> <span class="o">=</span> <span class="n">layer_b</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">10.</span><span class="p">,</span> <span class="mf">20.</span><span class="p">,</span> <span class="mf">30.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[2.],</span>
+<span class="go">       [2.],</span>
+<span class="go">       [2.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">set_weights</span><span class="p">(</span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">())</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Weights values as a list of NumPy arrays.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.inbound_nodes">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">inbound_nodes</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.inbound_nodes" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return Functional API nodes upstream of this layer.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.input">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.input" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one input,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Input tensor or list of input tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>RuntimeError</strong> – If called in Eager mode.</p></li>
+<li><p><strong>AttributeError</strong> – If no inbound nodes are found.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.input_mask">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input_mask</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.input_mask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input mask tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one inbound node,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Input mask tensor (potentially None) or list of input
+mask tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer is connected to</p></li>
+<li><p><strong>more than one incoming layers.</strong> – </p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.input_shape">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input_shape</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.input_shape" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input shape(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one input,
+i.e. if it is connected to one incoming layer, or if all inputs
+have the same shape.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Input shape, as an integer shape tuple
+(or list of shape tuples, one tuple per input tensor).</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer has no defined input_shape.</p></li>
+<li><p><strong>RuntimeError</strong> – if called in Eager mode.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.input_spec">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input_spec</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.input_spec" title="Permalink to this definition">¶</a></dt>
+<dd><p><cite>InputSpec</cite> instance(s) describing the input format for this layer.</p>
+<p>When you create a layer subclass, you can set <cite>self.input_spec</cite> to
+enable the layer to run input compatibility checks when it is called.
+Consider a <cite>Conv2D</cite> layer: it can only be called on a single input
+tensor of rank 4. As such, you can set, in <cite>__init__()</cite>:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">self.input_spec</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.InputSpec(ndim=4)</span>
+<span class="pre">`</span></code></p>
+<p>Now, if you try to call the layer on an input that isn’t rank 4
+(for instance, an input of shape <cite>(2,)</cite>, it will raise a
+nicely-formatted error:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`</span>
+<span class="pre">ValueError:</span> <span class="pre">Input</span> <span class="pre">0</span> <span class="pre">of</span> <span class="pre">layer</span> <span class="pre">conv2d</span> <span class="pre">is</span> <span class="pre">incompatible</span> <span class="pre">with</span> <span class="pre">the</span> <span class="pre">layer:</span>
+<span class="pre">expected</span> <span class="pre">ndim=4,</span> <span class="pre">found</span> <span class="pre">ndim=1.</span> <span class="pre">Full</span> <span class="pre">shape</span> <span class="pre">received:</span> <span class="pre">[2]</span>
+<span class="pre">`</span></code></p>
+<p>Input checks that can be specified via <cite>input_spec</cite> include:
+- Structure (e.g. a single input, a list of 2 inputs, etc)
+- Shape
+- Rank (ndim)
+- Dtype</p>
+<p>For more information, see <cite>tf.keras.layers.InputSpec</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A <cite>tf.keras.layers.InputSpec</cite> instance, or nested structure thereof.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.load_own_variables">
+<span class="sig-name descname"><span class="pre">load_own_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">store</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.load_own_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Loads the state of the layer.</p>
+<p>You can override this method to take full control of how the state of
+the layer is loaded upon calling <cite>keras.models.load_model()</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>store</strong> – Dict from which the state of the model will be loaded.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.losses">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">losses</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.losses" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of losses added using the <cite>add_loss()</cite> API.</p>
+<p>Variable regularization tensors are created when this property is
+accessed, so it is eager safe: accessing <cite>losses</cite> under a
+<cite>tf.GradientTape</cite> will propagate gradients back to the corresponding
+variables.</p>
+<p>Examples:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="k">class</span> <span class="nc">MyLayer</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<span class="gp">... </span>  <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">):</span>
+<span class="gp">... </span>    <span class="bp">self</span><span class="o">.</span><span class="n">add_loss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">inputs</span><span class="p">)))</span>
+<span class="gp">... </span>    <span class="k">return</span> <span class="n">inputs</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">l</span> <span class="o">=</span> <span class="n">MyLayer</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">l</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">((</span><span class="mi">10</span><span class="p">,</span> <span class="mi">1</span><span class="p">)))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">l</span><span class="o">.</span><span class="n">losses</span>
+<span class="go">[1.0]</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">inputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Input</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">10</span><span class="p">)(</span><span class="n">inputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">outputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">)(</span><span class="n">x</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">outputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># Activity regularization.</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">len</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">losses</span><span class="p">)</span>
+<span class="go">0</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span><span class="o">.</span><span class="n">add_loss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">x</span><span class="p">)))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">len</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">losses</span><span class="p">)</span>
+<span class="go">1</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">inputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Input</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="n">kernel_initializer</span><span class="o">=</span><span class="s1">'ones'</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">d</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">outputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">)(</span><span class="n">x</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">outputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># Weight regularization.</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span><span class="o">.</span><span class="n">add_loss</span><span class="p">(</span><span class="k">lambda</span><span class="p">:</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">d</span><span class="o">.</span><span class="n">kernel</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span><span class="o">.</span><span class="n">losses</span>
+<span class="go">[&lt;tf.Tensor: shape=(), dtype=float32, numpy=1.0&gt;]</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of tensors.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.merge_state">
+<span class="sig-name descname"><span class="pre">merge_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metrics</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.merge_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Merges the state from one or more metrics.</p>
+<p>This method can be used by distributed systems to merge the state
+computed by different metric instances. Typically the state will be
+stored in the form of the metric’s weights. For example, a
+tf.keras.metrics.Mean metric contains a list of two weight values: a
+total and a count. If there were two instances of a
+tf.keras.metrics.Accuracy that each independently aggregated partial
+state for an overall accuracy calculation, these two metric’s states
+could be combined as follows:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m1</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">Accuracy</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">_</span> <span class="o">=</span> <span class="n">m1</span><span class="o">.</span><span class="n">update_state</span><span class="p">([[</span><span class="mi">1</span><span class="p">],</span> <span class="p">[</span><span class="mi">2</span><span class="p">]],</span> <span class="p">[[</span><span class="mi">0</span><span class="p">],</span> <span class="p">[</span><span class="mi">2</span><span class="p">]])</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m2</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">Accuracy</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">_</span> <span class="o">=</span> <span class="n">m2</span><span class="o">.</span><span class="n">update_state</span><span class="p">([[</span><span class="mi">3</span><span class="p">],</span> <span class="p">[</span><span class="mi">4</span><span class="p">]],</span> <span class="p">[[</span><span class="mi">3</span><span class="p">],</span> <span class="p">[</span><span class="mi">4</span><span class="p">]])</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m2</span><span class="o">.</span><span class="n">merge_state</span><span class="p">([</span><span class="n">m1</span><span class="p">])</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">m2</span><span class="o">.</span><span class="n">result</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
+<span class="go">0.75</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>metrics</strong> – an iterable of metrics. The metrics must have compatible
+state.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p><strong>ValueError</strong> – If the provided iterable does not contain metrics matching
+    the metric’s required specifications.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.metrics">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">metrics</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.metrics" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of metrics added using the <cite>add_metric()</cite> API.</p>
+<p>Example:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="nb">input</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Input</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">output</span> <span class="o">=</span> <span class="n">d</span><span class="p">(</span><span class="nb">input</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">add_metric</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_max</span><span class="p">(</span><span class="n">output</span><span class="p">),</span> <span class="n">name</span><span class="o">=</span><span class="s1">'max'</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">add_metric</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_min</span><span class="p">(</span><span class="n">output</span><span class="p">),</span> <span class="n">name</span><span class="o">=</span><span class="s1">'min'</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="p">[</span><span class="n">m</span><span class="o">.</span><span class="n">name</span> <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="n">d</span><span class="o">.</span><span class="n">metrics</span><span class="p">]</span>
+<span class="go">['max', 'min']</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of <cite>Metric</cite> objects.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.name">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">name</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.name" title="Permalink to this definition">¶</a></dt>
+<dd><p>Name of the layer (string), set in the constructor.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.name_scope">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">name_scope</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.name_scope" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns a <cite>tf.name_scope</cite> instance for this class.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.non_trainable_variables">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">non_trainable_variables</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.non_trainable_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sequence of non-trainable variables owned by this module and its submodules.</p>
+<p>Note: this method uses reflection to find variables on the current instance
+and submodules. For performance reasons you may wish to cache the result
+of calling this method if you don’t expect the return value to change.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A sequence of variables for the current module (sorted by attribute
+name) followed by variables from all submodules recursively (breadth
+first).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.non_trainable_weights">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">non_trainable_weights</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.non_trainable_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of all non-trainable weights tracked by this layer.</p>
+<p>Non-trainable weights are <em>not</em> updated during training. They are
+expected to be updated manually in <cite>call()</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of non-trainable variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.outbound_nodes">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">outbound_nodes</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.outbound_nodes" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return Functional API nodes downstream of this layer.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.output">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.output" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one output,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Output tensor or list of output tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer is connected to more than one incoming
+    layers.</p></li>
+<li><p><strong>RuntimeError</strong> – if called in Eager mode.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.output_mask">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">output_mask</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.output_mask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output mask tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one inbound node,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Output mask tensor (potentially None) or list of output
+mask tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer is connected to</p></li>
+<li><p><strong>more than one incoming layers.</strong> – </p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.output_shape">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">output_shape</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.output_shape" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output shape(s) of a layer.</p>
+<p>Only applicable if the layer has one output,
+or if all outputs have the same shape.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Output shape, as an integer shape tuple
+(or list of shape tuples, one tuple per output tensor).</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer has no defined output shape.</p></li>
+<li><p><strong>RuntimeError</strong> – if called in Eager mode.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.reset_state">
+<span class="sig-name descname"><span class="pre">reset_state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.reset_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset state.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.reset_states">
+<span class="sig-name descname"><span class="pre">reset_states</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.reset_states" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.result">
+<span class="sig-name descname"><span class="pre">result</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tensorflow.python.framework.ops.Tensor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.result" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return f1 score.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.save_own_variables">
+<span class="sig-name descname"><span class="pre">save_own_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">store</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.save_own_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Saves the state of the layer.</p>
+<p>You can override this method to take full control of how the state of
+the layer is saved upon calling <cite>model.save()</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>store</strong> – Dict where the state of the model will be saved.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.set_weights">
+<span class="sig-name descname"><span class="pre">set_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">weights</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.set_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sets the weights of the layer, from NumPy arrays.</p>
+<p>The weights of a layer represent the state of the layer. This function
+sets the weight values from numpy arrays. The weight values should be
+passed in the order they are created by the layer. Note that the layer’s
+weights must be instantiated before calling this function, by calling
+the layer.</p>
+<p>For example, a <cite>Dense</cite> layer returns a list of two values: the kernel
+matrix and the bias vector. These can be used to set the weights of
+another <cite>Dense</cite> layer:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">1.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_out</span> <span class="o">=</span> <span class="n">layer_a</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">3.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">2.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_out</span> <span class="o">=</span> <span class="n">layer_b</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">10.</span><span class="p">,</span> <span class="mf">20.</span><span class="p">,</span> <span class="mf">30.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[2.],</span>
+<span class="go">       [2.],</span>
+<span class="go">       [2.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">set_weights</span><span class="p">(</span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">())</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>weights</strong> – a list of NumPy arrays. The number
+of arrays and their shape must match
+number of the dimensions of the weights
+of the layer (i.e. it should match the
+output of <cite>get_weights</cite>).</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p><strong>ValueError</strong> – If the provided weights list does not match the
+    layer’s specifications.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.stateful">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">stateful</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.stateful" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.submodules">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">submodules</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.submodules" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sequence of all sub-modules.</p>
+<p>Submodules are modules which are properties of this module, or found as
+properties of modules which are properties of this module (and so on).</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">a</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">c</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a</span><span class="o">.</span><span class="n">b</span> <span class="o">=</span> <span class="n">b</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span><span class="o">.</span><span class="n">c</span> <span class="o">=</span> <span class="n">c</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">list</span><span class="p">(</span><span class="n">a</span><span class="o">.</span><span class="n">submodules</span><span class="p">)</span> <span class="o">==</span> <span class="p">[</span><span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">]</span>
+<span class="go">True</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">list</span><span class="p">(</span><span class="n">b</span><span class="o">.</span><span class="n">submodules</span><span class="p">)</span> <span class="o">==</span> <span class="p">[</span><span class="n">c</span><span class="p">]</span>
+<span class="go">True</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">list</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">submodules</span><span class="p">)</span> <span class="o">==</span> <span class="p">[]</span>
+<span class="go">True</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A sequence of all submodules.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.supports_masking">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">supports_masking</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.supports_masking" title="Permalink to this definition">¶</a></dt>
+<dd><p>Whether this layer supports computing a mask using <cite>compute_mask</cite>.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.trainable">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">trainable</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.trainable" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.trainable_variables">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">trainable_variables</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.trainable_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sequence of trainable variables owned by this module and its submodules.</p>
+<p>Note: this method uses reflection to find variables on the current instance
+and submodules. For performance reasons you may wish to cache the result
+of calling this method if you don’t expect the return value to change.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A sequence of variables for the current module (sorted by attribute
+name) followed by variables from all submodules recursively (breadth
+first).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.trainable_weights">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">trainable_weights</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.trainable_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of all trainable weights tracked by this layer.</p>
+<p>Trainable weights are updated via gradient descent during training.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of trainable variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.update_state">
+<span class="sig-name descname"><span class="pre">update_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tf.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tf.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_weight</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tf.Tensor</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.update_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update state.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.updates">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">updates</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.updates" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.variable_dtype">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variable_dtype</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.variable_dtype" title="Permalink to this definition">¶</a></dt>
+<dd><p>Alias of <cite>Layer.dtype</cite>, the dtype of the weights.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.variables">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variables</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns the list of all layer variables/weights.</p>
+<p>Alias of <cite>self.weights</cite>.</p>
+<p>Note: This will not track the weights of nested <cite>tf.Modules</cite> that are
+not themselves Keras layers.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.weights">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">weights</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns the list of all layer variables/weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.with_name_scope">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">with_name_scope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.with_name_scope" title="Permalink to this definition">¶</a></dt>
+<dd><p>Decorator to automatically enter the module name scope.</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="k">class</span> <span class="nc">MyModule</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+<span class="gp">... </span>  <span class="nd">@tf</span><span class="o">.</span><span class="n">Module</span><span class="o">.</span><span class="n">with_name_scope</span>
+<span class="gp">... </span>  <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+<span class="gp">... </span>    <span class="k">if</span> <span class="ow">not</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s1">'w'</span><span class="p">):</span>
+<span class="gp">... </span>      <span class="bp">self</span><span class="o">.</span><span class="n">w</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">normal</span><span class="p">([</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">3</span><span class="p">]))</span>
+<span class="gp">... </span>    <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">w</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>Using the above module would produce <a href="#id37"><span class="problematic" id="id38">`</span></a>tf.Variable`s and <a href="#id39"><span class="problematic" id="id40">`</span></a>tf.Tensor`s whose
+names included the module name:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">mod</span> <span class="o">=</span> <span class="n">MyModule</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">mod</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">ones</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]))</span>
+<span class="go">&lt;tf.Tensor: shape=(1, 3), dtype=float32, numpy=..., dtype=float32)&gt;</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">mod</span><span class="o">.</span><span class="n">w</span>
+<span class="go">&lt;tf.Variable 'my_module/Variable:0' shape=(2, 3) dtype=float32,</span>
+<span class="go">numpy=..., dtype=float32)&gt;</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>method</strong> – The method to wrap.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>The original method wrapped such that it enters the module’s name scope.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get configuration.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.regex_model.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Regex Model</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.data_processing.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data Processing</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.labeler_utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.labelers.regex_model.html b/docs/0.10.5/html/dataprofiler.labelers.regex_model.html
new file mode 100644
index 000000000..ef3488781
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.labelers.regex_model.html
@@ -0,0 +1,487 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Utils" href="dataprofiler.labelers.utils.html" /><link rel="prev" title="Labeler Utils" href="dataprofiler.labelers.labeler_utils.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Regex Model - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.regex_model">
+<span id="regex-model"></span><h1>Regex Model<a class="headerlink" href="#module-dataprofiler.labelers.regex_model" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for regex data labeling model.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.regex_model.</span></span><span class="sig-name descname"><span class="pre">RegexModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></code></a></p>
+<p>Class for regex data labeling model.</p>
+<p>Initialize Regex Model.</p>
+<dl>
+<dt>Example regex_patterns:</dt><dd><dl>
+<dt>regex_patterns = {</dt><dd><dl class="simple">
+<dt>“LABEL_1”: [</dt><dd><p>“LABEL_1_pattern_1”,
+“LABEL_1_pattern_2”,
+…</p>
+</dd>
+</dl>
+<p>],
+“LABEL_2”: [</p>
+<blockquote>
+<div><p>“LABEL_2_pattern_1”,
+“LABEL_2_pattern_2”,
+…</p>
+</div></blockquote>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+<dt>Example encapsulators:</dt><dd><dl class="simple">
+<dt>encapsulators = {</dt><dd><p>‘start’: r’(?&lt;![w.$%-])’,
+‘end’: r’(?:(?=(b|[ ]))|(?=[^w%$]([^w]|$))|$)’,</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>parameters</strong> (<em>dict</em>) – <p>Contains all the appropriate parameters for the model.
+Possible parameters are:</p>
+<blockquote>
+<div><p>max_length, max_num_chars, dim_embed</p>
+</div></blockquote>
+</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.reset_weights">
+<span class="sig-name descname"><span class="pre">reset_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.reset_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset weights.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_confidences</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Apply the regex patterns (within regex_model) to the input_string.</p>
+<p>Create predictions for all matching patterns. Each pattern has an
+associated entity and the predictions of each character within the
+string are given a True or False identification for each entity. All
+characters not identified by ANY of the regex patterns in the
+pattern_dict are considered background characters, and are replaced with
+the default_label value.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>iterator</em>) – list of strings to predict upon</p></li>
+<li><p><strong>batch_size</strong> (<em>N/A</em>) – does not impact this model and should be fixed to not
+be required.</p></li>
+<li><p><strong>show_confidences</strong> – whether user wants prediction confidences</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>char level predictions and confidences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.regex_model.RegexModel" title="dataprofiler.labelers.regex_model.RegexModel"><span class="pre">dataprofiler.labelers.regex_model.RegexModel</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load whole model from disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to load the model from</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save whole model to disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to save the model to</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">BaseModel</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>List</em><em>[</em><em>str</em><em>]</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Help describe alterable parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mapping of labels to their encoded values.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.num_labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">num_labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.num_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return max label mapping.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.requires_zero_mapping">
+<span class="sig-name descname"><span class="pre">requires_zero_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><em class="property"> <span class="pre">=</span> <span class="pre">False</span></em><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.requires_zero_mapping" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return reversed order of current labels.</p>
+<p>Useful for when needed to extract Labels via indices.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.set_label_mapping">
+<span class="sig-name descname"><span class="pre">set_label_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.set_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>dict</em><em>]</em>) – label mapping of the model or list of labels to be
+converted into the label mapping</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.utils.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Utils</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.labeler_utils.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Labeler Utils</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.regex_model.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.labelers.utils.html b/docs/0.10.5/html/dataprofiler.labelers.utils.html
new file mode 100644
index 000000000..a458cefa7
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.labelers.utils.html
@@ -0,0 +1,309 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Validators" href="dataprofiler.validators.html" /><link rel="prev" title="Regex Model" href="dataprofiler.labelers.regex_model.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Utils - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.utils">
+<span id="utils"></span><h1>Utils<a class="headerlink" href="#module-dataprofiler.labelers.utils" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions for checking for installations/dependencies.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.utils.warn_missing_module">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.utils.</span></span><span class="sig-name descname"><span class="pre">warn_missing_module</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labeler_function</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">module_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.utils.warn_missing_module" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a warning if a given graph module doesn’t exist.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>labeler_function</strong> (<em>str</em>) – Name of the graphing function</p></li>
+<li><p><strong>module_name</strong> (<em>str</em>) – module name that was missing</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.utils.require_module">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.utils.</span></span><span class="sig-name descname"><span class="pre">require_module</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">names</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Callable</span></span></span><a class="headerlink" href="#dataprofiler.labelers.utils.require_module" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check if a set of modules exists in sys.modules prior to running function.</p>
+<p>If they do not, give a user a warning and do not run the
+function.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>names</strong> (<em>list</em><em>[</em><em>str</em><em>]</em>) – list of module names to check for in sys.modules</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.validators.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Validators</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.regex_model.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Regex Model</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.base_column_profilers.html b/docs/0.10.5/html/dataprofiler.profilers.base_column_profilers.html
new file mode 100644
index 000000000..9e034a785
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.base_column_profilers.html
@@ -0,0 +1,458 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Categorical Column Profile" href="dataprofiler.profilers.categorical_column_profile.html" /><link rel="prev" title="Report Helpers" href="dataprofiler.profilers.helpers.report_helpers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Base Column Profilers - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.base_column_profilers">
+<span id="base-column-profilers"></span><h1>Base Column Profilers<a class="headerlink" href="#module-dataprofiler.profilers.base_column_profilers" title="Permalink to this headline">¶</a></h1>
+<p>Contains parent column profiler class.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.base_column_profilers.</span></span><span class="sig-name descname"><span class="pre">BaseColumnProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">BaseOption</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Generic</span></code>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfilerT</span></code>]</p>
+<p>Abstract class for profiling a column of data.</p>
+<p>Initialize base class properties for the subclass.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>String</em>) – Name of the dataset</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfilerT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for columns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><em>BaseColumnProfiler</em></a>) – profile to find the difference with</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the stat differences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.update">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.frame.DataFrame</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>Pandas Dataframe</em>) – Data to profile.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.profile">
+<em class="property"><span class="pre">abstract</span> <span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.report">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled
+options should be excluded in the report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseColumnProfilerT</span></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler">BaseColumnProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.base_column_profilers.</span></span><span class="sig-name descname"><span class="pre">BaseColumnPrimitiveTypeProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfiler</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfilerT</span></code>]</p>
+<p>Abstract class for profiling primative data type for col of data.</p>
+<p>Initialize base class properties for the subclass.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>String</em>) – Name of the data</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfilerT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for columns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><em>BaseColumnProfiler</em></a>) – profile to find the difference with</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the stat differences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseColumnProfilerT</span></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler">BaseColumnProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.profile">
+<em class="property"><span class="pre">abstract</span> <span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.report">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled
+options should be excluded in the report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.update">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.frame.DataFrame</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>Pandas Dataframe</em>) – Data to profile.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.categorical_column_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Categorical Column Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.helpers.report_helpers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Report Helpers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.base_column_profilers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.categorical_column_profile.html b/docs/0.10.5/html/dataprofiler.profilers.categorical_column_profile.html
new file mode 100644
index 000000000..e24dacc18
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.categorical_column_profile.html
@@ -0,0 +1,450 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Column Profile Compilers" href="dataprofiler.profilers.column_profile_compilers.html" /><link rel="prev" title="Base Column Profilers" href="dataprofiler.profilers.base_column_profilers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Categorical Column Profile - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.categorical_column_profile">
+<span id="categorical-column-profile"></span><h1>Categorical Column Profile<a class="headerlink" href="#module-dataprofiler.profilers.categorical_column_profile" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for categorical column profiler.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.categorical_column_profile.</span></span><span class="sig-name descname"><span class="pre">CategoricalColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">CategoricalOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="dataprofiler.profilers.categorical_column_profile.CategoricalColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">CategoricalColumn</span></code></a>]</p>
+<p>Categorical column profile subclass of BaseColumnProfiler.</p>
+<p>Represents a column int the dataset which is a categorical column.</p>
+<p>Initialize column base properties and itself.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>String</em>) – Name of data</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'category'</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.gini_impurity">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">gini_impurity</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.gini_impurity" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return Gini Impurity.</p>
+<p>Gini Impurity is a way to calculate
+likelihood of an incorrect classification of a new instance of
+a random variable.</p>
+<p>G = Σ(i=1; J): P(i) * (1 - P(i)), where i is the category classes.
+We are traversing through categories and calculating with the column</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None or Gini Impurity probability</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unalikeability">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">unalikeability</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unalikeability" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return Unlikeability.</p>
+<p>Unikeability checks for “how often observations differ from one another”
+Reference: Perry, M. and Kader, G. Variation as Unalikeability.
+Teaching Statistics, Vol. 27, No. 2 (2005), pp. 58-60.</p>
+<p>U = Σ(i=1,n)Σ(j=1,n): (Cij)/(n**2-n)
+Cij = 1 if i!=j, 0 if i=j</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None or unlikeability probability</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="dataprofiler.profilers.categorical_column_profile.CategoricalColumn"><span class="pre">dataprofiler.profilers.categorical_column_profile.CategoricalColumn</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for CategoricalColumns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="dataprofiler.profilers.categorical_column_profile.CategoricalColumn"><em>CategoricalColumn</em></a>) – profile to find the difference with</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the CategoricalColumn differences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<p>This is a private abstract method.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled
+options should be excluded in the report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="dataprofiler.profilers.categorical_column_profile.CategoricalColumn">CategoricalColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+<p>For categorical_count, it will display the top k categories most
+frequently occurred in descending order.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.categories">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">categories</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.categories" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return categories.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.categorical_counts">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">categorical_counts</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.categorical_counts" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return counts of each category.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unique_ratio">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">unique_ratio</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unique_ratio" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return ratio of unique categories to sample_size.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unique_count">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">unique_count</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unique_count" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return ratio of unique categories to sample_size.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.is_match">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return true if column is categorical.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="dataprofiler.profilers.categorical_column_profile.CategoricalColumn"><span class="pre">dataprofiler.profilers.categorical_column_profile.CategoricalColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – Data to profile.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated CategoricalColumn</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="dataprofiler.profilers.categorical_column_profile.CategoricalColumn">CategoricalColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.column_profile_compilers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Column Profile Compilers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.base_column_profilers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Base Column Profilers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.categorical_column_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.column_profile_compilers.html b/docs/0.10.5/html/dataprofiler.profilers.column_profile_compilers.html
new file mode 100644
index 000000000..c46f6a5c0
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.column_profile_compilers.html
@@ -0,0 +1,678 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data Labeler Column Profile" href="dataprofiler.profilers.data_labeler_column_profile.html" /><link rel="prev" title="Categorical Column Profile" href="dataprofiler.profilers.categorical_column_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Column Profile Compilers - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.column_profile_compilers">
+<span id="column-profile-compilers"></span><h1>Column Profile Compilers<a class="headerlink" href="#module-dataprofiler.profilers.column_profile_compilers" title="Permalink to this headline">¶</a></h1>
+<p>For generating a report.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.BaseCompiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.column_profile_compilers.</span></span><span class="sig-name descname"><span class="pre">BaseCompiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><span class="pre">dataprofiler.profilers.profiler_options.StructuredOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Generic</span></code>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.column_profile_compilers.BaseCompilerT</span></code>]</p>
+<p>Abstract class for generating a report.</p>
+<p>Initialize BaseCompiler object.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.BaseCompiler.report">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled options should be excluded in report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.BaseCompiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.BaseCompiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dataprofiler.profilers.column_profile_compilers.BaseCompilerT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between 2 compilers and returns the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other</strong> (<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><em>BaseCompiler</em></a>) – profile compiler finding the difference with this one.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.BaseCompiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Pool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profiles from the data frames.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – a given column, assume df_series in str</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.Pool</em>) – pool to utilized for multiprocessing</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Self</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.BaseCompiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Compiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.column_profile_compilers.</span></span><span class="sig-name descname"><span class="pre">ColumnPrimitiveTypeProfileCompiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><span class="pre">dataprofiler.profilers.profiler_options.StructuredOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.column_profile_compilers.BaseCompiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColumnPrimitiveTypeProfileCompiler</span></code></a>]</p>
+<p>For generating ordered column profile reports.</p>
+<p>Initialize BaseCompiler object.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled options should be excluded in report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.selected_data_type">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">selected_data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.selected_data_type" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the selected data_type in a primitive compiler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>name of the selected data type</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>str</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler"><span class="pre">dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between 2 compilers and returns the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other</strong> (<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler"><em>ColumnPrimitiveTypeProfileCompiler</em></a>) – profile compiler finding the difference with this one.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Compiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Pool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profiles from the data frames.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – a given column, assume df_series in str</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.Pool</em>) – pool to utilized for multiprocessing</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Self</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.column_profile_compilers.</span></span><span class="sig-name descname"><span class="pre">ColumnStatsProfileCompiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><span class="pre">dataprofiler.profilers.profiler_options.StructuredOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.column_profile_compilers.BaseCompiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColumnStatsProfileCompiler</span></code></a>]</p>
+<p>For generating OrderColumn and CategoricalColumn reports.</p>
+<p>Initialize BaseCompiler object.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled options should be excluded in report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler"><span class="pre">dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between 2 compilers and returns the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other</strong> (<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler"><em>ColumnStatsProfileCompiler</em></a>) – profile compiler finding the difference with this one.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Compiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Pool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profiles from the data frames.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – a given column, assume df_series in str</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.Pool</em>) – pool to utilized for multiprocessing</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Self</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.column_profile_compilers.</span></span><span class="sig-name descname"><span class="pre">ColumnDataLabelerCompiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><span class="pre">dataprofiler.profilers.profiler_options.StructuredOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.column_profile_compilers.BaseCompiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColumnDataLabelerCompiler</span></code></a>]</p>
+<p>For generating DataLabelerColumn report.</p>
+<p>Initialize BaseCompiler object.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled options should be excluded in report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler"><span class="pre">dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between 2 compilers and return the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other</strong> (<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler"><em>ColumnDataLabelerCompiler</em></a>) – profile compiler finding the difference with this one.</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options to change results of the difference</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Compiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Pool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profiles from the data frames.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – a given column, assume df_series in str</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.Pool</em>) – pool to utilized for multiprocessing</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Self</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.column_profile_compilers.</span></span><span class="sig-name descname"><span class="pre">UnstructuredCompiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><span class="pre">dataprofiler.profilers.profiler_options.StructuredOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.column_profile_compilers.BaseCompiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler" title="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">UnstructuredCompiler</span></code></a>]</p>
+<p>For generating TextProfiler and UnstructuredLabelerProfile reports.</p>
+<p>Initialize BaseCompiler object.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Report profile attrs of class and potentially pop val from self.profile.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler" title="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler"><span class="pre">dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between 2 compilers and return the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other</strong> (<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler" title="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler"><em>UnstructuredCompiler</em></a>) – profile compiler finding the difference with this one.</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options to impact the results of the diff</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Compiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Pool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profiles from the data frames.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – a given column, assume df_series in str</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.Pool</em>) – pool to utilized for multiprocessing</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Self</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.data_labeler_column_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data Labeler Column Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.categorical_column_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Categorical Column Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.column_profile_compilers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.data_labeler_column_profile.html b/docs/0.10.5/html/dataprofiler.profilers.data_labeler_column_profile.html
new file mode 100644
index 000000000..7a417e4b6
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.data_labeler_column_profile.html
@@ -0,0 +1,447 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Datetime Column Profile" href="dataprofiler.profilers.datetime_column_profile.html" /><link rel="prev" title="Column Profile Compilers" href="dataprofiler.profilers.column_profile_compilers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data Labeler Column Profile - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.data_labeler_column_profile">
+<span id="data-labeler-column-profile"></span><h1>Data Labeler Column Profile<a class="headerlink" href="#module-dataprofiler.profilers.data_labeler_column_profile" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for for profiling data labeler col.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.data_labeler_column_profile.</span></span><span class="sig-name descname"><span class="pre">DataLabelerColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataLabelerOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataLabelerColumn</span></code></a>]</p>
+<p>Sublass of BaseColumnProfiler for profiling data labeler col.</p>
+<p>Initialize Data Label profiling for structured datasets.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>String</em>) – name of column being profiled</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions"><em>DataLabelerOptions</em></a>) – Options for the data labeler column</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'data_labeler'</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.assert_equal_conditions">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">assert_equal_conditions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_labeler</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><span class="pre">dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_labeler2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><span class="pre">dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.assert_equal_conditions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Ensure data labelers have the same values. Raise error otherwise.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_labeler</strong> (<a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><em>DataLabelerColumn</em></a>) – first data_labeler</p></li>
+<li><p><strong>data_labeler2</strong> (<a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><em>DataLabelerColumn</em></a>) – second data_labeler</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return reverse label mapping.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.possible_data_labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">possible_data_labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.possible_data_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return possible data labels.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.rank_distribution">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">rank_distribution</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.rank_distribution" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return rank distribution.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.sum_predictions">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">sum_predictions</span></span><em class="property"><span class="pre">:</span> <span class="pre">numpy.ndarray</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.sum_predictions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sum predictions.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.data_label">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_label</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.data_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data labels which best fit data it has seen based on DataLabeler used.</p>
+<p>Data labels must be within the minimum probability
+differential of the top predicted value. If nothing is more than
+minimum top label value, it says it could not determine the data label.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.avg_predictions">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">avg_predictions</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">float]</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.avg_predictions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Average all sample predictions for each data label.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.label_representation">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_representation</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">float]</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.label_representation" title="Permalink to this definition">¶</a></dt>
+<dd><p>Represent label found within the dataset based on ranked voting.</p>
+<p>When top_k=1, this is simply the distribution of data labels found
+within the dataset.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><span class="pre">DataLabelerColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn">DataLabelerColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<p>Private abstract method.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled
+options should be excluded in the report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><span class="pre">dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Generate differences between the orders of two DataLabeler columns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Dict containing the differences between orders in their</p>
+</dd>
+</dl>
+<p>appropriate output formats
+:rtype: dict</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><span class="pre">dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – df series</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated DataLabelerColumn</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn">DataLabelerColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.datetime_column_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Datetime Column Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.column_profile_compilers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Column Profile Compilers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.data_labeler_column_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.datetime_column_profile.html b/docs/0.10.5/html/dataprofiler.profilers.datetime_column_profile.html
new file mode 100644
index 000000000..2c2aba748
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.datetime_column_profile.html
@@ -0,0 +1,406 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Float Column Profile" href="dataprofiler.profilers.float_column_profile.html" /><link rel="prev" title="Data Labeler Column Profile" href="dataprofiler.profilers.data_labeler_column_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Datetime Column Profile - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.datetime_column_profile">
+<span id="datetime-column-profile"></span><h1>Datetime Column Profile<a class="headerlink" href="#module-dataprofiler.profilers.datetime_column_profile" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for profiling datetime column.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.datetime_column_profile.</span></span><span class="sig-name descname"><span class="pre">DateTimeColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DateTimeOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn" title="dataprofiler.profilers.datetime_column_profile.DateTimeColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">DateTimeColumn</span></code></a>]</p>
+<p>Datetime column profile subclass of BaseColumnProfiler.</p>
+<p>Represents a column int the dataset which is a datetime column.</p>
+<p>Initialize it and the column base properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>String</em>) – Name of the data</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DateTimeOptions" title="dataprofiler.profilers.profiler_options.DateTimeOptions"><em>DateTimeOptions</em></a>) – Options for the datetime column</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'datetime'</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<p>Private abstract method.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled
+options should be excluded in the report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn" title="dataprofiler.profilers.datetime_column_profile.DateTimeColumn">DateTimeColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.data_type_ratio">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_type_ratio</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.data_type_ratio" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate the ratio of samples which match this data type.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>ratio of data type</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn" title="dataprofiler.profilers.datetime_column_profile.DateTimeColumn"><span class="pre">dataprofiler.profilers.datetime_column_profile.DateTimeColumn</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Generate differences between max, min, and formats of two DateTime cols.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Dict containing the differences between max, min, and format in their</p>
+</dd>
+</dl>
+<p>appropriate output formats
+:rtype: dict</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn" title="dataprofiler.profilers.datetime_column_profile.DateTimeColumn"><span class="pre">dataprofiler.profilers.datetime_column_profile.DateTimeColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – df series</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.match_count">
+<span class="sig-name descname"><span class="pre">match_count</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.match_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.float_column_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Float Column Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.data_labeler_column_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data Labeler Column Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.datetime_column_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.float_column_profile.html b/docs/0.10.5/html/dataprofiler.profilers.float_column_profile.html
new file mode 100644
index 000000000..ab8324f38
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.float_column_profile.html
@@ -0,0 +1,547 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Graph Profiler" href="dataprofiler.profilers.graph_profiler.html" /><link rel="prev" title="Datetime Column Profile" href="dataprofiler.profilers.datetime_column_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Float Column Profile - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.float_column_profile">
+<span id="float-column-profile"></span><h1>Float Column Profile<a class="headerlink" href="#module-dataprofiler.profilers.float_column_profile" title="Permalink to this headline">¶</a></h1>
+<p>Float profile analysis for individual col within structured profiling.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.float_column_profile.</span></span><span class="sig-name descname"><span class="pre">FloatColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">FloatOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin" title="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.numerical_column_stats.NumericStatsMixin</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="dataprofiler.profilers.float_column_profile.FloatColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">FloatColumn</span></code></a>], <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="dataprofiler.profilers.float_column_profile.FloatColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">FloatColumn</span></code></a>]</p>
+<p>Float column profile mixin with numerical stats.</p>
+<p>Represents a column in the dataset which is a float column.</p>
+<p>Initialize column base properties and itself.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>String</em>) – Name of the data</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions" title="dataprofiler.profilers.profiler_options.FloatOptions"><em>FloatOptions</em></a>) – Options for the float column</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'float'</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="dataprofiler.profilers.float_column_profile.FloatColumn"><span class="pre">dataprofiler.profilers.float_column_profile.FloatColumn</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for FloatColumns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="dataprofiler.profilers.float_column_profile.FloatColumn"><em>FloatColumn</em></a>) – profile to find the difference with</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the FloatColumn differences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Report profile attribute of class; potentially pop val from self.profile.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="dataprofiler.profilers.float_column_profile.FloatColumn">FloatColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.precision">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">precision</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">None]</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.precision" title="Permalink to this definition">¶</a></dt>
+<dd><p>Report statistics on the significant figures of each element in the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Precision statistics</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.data_type_ratio">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_type_ratio</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.data_type_ratio" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate the ratio of samples which match this data type.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>ratio of data type</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.is_float">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_float</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.is_float" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is float.</p>
+<p>For “0.80” this function returns True
+For “1.00” this function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is float or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.is_int">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_int</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.is_int" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is integer.</p>
+<p>For “0.80” This function returns False
+For “1.00” This function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is integer or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.kurtosis">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">kurtosis</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.kurtosis" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return kurtosis value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.mean">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mean</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.mean" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mean value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.median">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.median" title="Permalink to this definition">¶</a></dt>
+<dd><p>Estimate the median of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the median</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.median_abs_deviation">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median_abs_deviation</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.median_abs_deviation" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get median absolute deviation estimated from the histogram of the data.</p>
+<blockquote>
+<div><p>Subtract bin edges from the median value
+Fold the histogram to positive and negative parts around zero
+Impose the two bin edges from the two histogram
+Calculate the counts for the two histograms with the imposed bin edges
+Superimpose the counts from the two histograms
+Interpolate the median absolute deviation from the superimposed counts</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>median absolute deviation</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.mode">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mode</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.mode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find an estimate for the mode[s] of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the mode(s) of the data</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>list(float)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.np_type_to_type">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">np_type_to_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">val</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.np_type_to_type" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert numpy variables to base python type variables.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>val</strong> (<em>numpy type</em><em> or </em><em>base type</em>) – value to check &amp; change</p>
+</dd>
+<dt class="field-even">Return val</dt>
+<dd class="field-even"><p>base python type</p>
+</dd>
+<dt class="field-odd">Rtype val</dt>
+<dd class="field-odd"><p>int or float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.skewness">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">skewness</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.skewness" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return skewness value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.stddev">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">stddev</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.stddev" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return stddev value.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="dataprofiler.profilers.float_column_profile.FloatColumn"><span class="pre">dataprofiler.profilers.float_column_profile.FloatColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – df series</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated FloatColumn</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="dataprofiler.profilers.float_column_profile.FloatColumn">FloatColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.variance">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variance</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.variance" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return variance.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.match_count">
+<span class="sig-name descname"><span class="pre">match_count</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.match_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.graph_profiler.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Graph Profiler</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.datetime_column_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Datetime Column Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.float_column_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.graph_profiler.html b/docs/0.10.5/html/dataprofiler.profilers.graph_profiler.html
new file mode 100644
index 000000000..e68d6ef1a
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.graph_profiler.html
@@ -0,0 +1,383 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Histogram Utils" href="dataprofiler.profilers.histogram_utils.html" /><link rel="prev" title="Float Column Profile" href="dataprofiler.profilers.float_column_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Graph Profiler - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.graph_profiler">
+<span id="graph-profiler"></span><h1>Graph Profiler<a class="headerlink" href="#module-dataprofiler.profilers.graph_profiler" title="Permalink to this headline">¶</a></h1>
+<p>Class and functions to calculate and profile properties of graph data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.graph_profiler.</span></span><span class="sig-name descname"><span class="pre">GraphProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">nx.Graph</span> <span class="p"><span class="pre">|</span></span> <span class="pre">GraphData</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">ProfilerOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>GraphProfiler class.</p>
+<p>Creates a profile describing a graph dataset
+Statistical properties of graph</p>
+<p>Initialize Graph Profiler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>networkx.Graph</em><em>, </em><a class="reference internal" href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData" title="dataprofiler.data_readers.graph_data.GraphData"><em>data_readers.graph_data.GraphData</em></a><em>]</em>) – data</p></li>
+<li><p><strong>options</strong> (<em>GraphOptions</em>) – Options for the Graph Profiler</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler.times" title="Permalink to this definition">¶</a></dt>
+<dd><p>Properties</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the graph.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the profile of the graph in data</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.graph_profiler.GraphProfiler" title="dataprofiler.profilers.graph_profiler.GraphProfiler"><span class="pre">dataprofiler.profilers.graph_profiler.GraphProfiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for two graph profiles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.graph_profiler.GraphProfiler" title="dataprofiler.profilers.graph_profiler.GraphProfiler"><em>GraphProfiler</em></a>) – profile to find the difference with</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options for diff output</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the difference between profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Report on profile attribute of the class.</p>
+<p>Pop value from self.profile if key not in self.__calculations</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">networkx.classes.graph.Graph</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.graph_profiler.GraphProfiler" title="dataprofiler.profilers.graph_profiler.GraphProfiler"><span class="pre">dataprofiler.profilers.graph_profiler.GraphProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the graph profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>NetworkX Graph</em>) – networkx graph</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler.save" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save profiler to disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>filepath</strong> (<em>String</em>) – Path of file to save to</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler.load">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.graph_profiler.GraphProfiler" title="dataprofiler.profilers.graph_profiler.GraphProfiler"><span class="pre">dataprofiler.profilers.graph_profiler.GraphProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler.load" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load profiler from disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>filepath</strong> (<em>String</em>) – Path of file to load from</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>GraphProfiler being loaded</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.graph_profiler.GraphProfiler" title="dataprofiler.profilers.graph_profiler.GraphProfiler">GraphProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.histogram_utils.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Histogram Utils</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.float_column_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Float Column Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.graph_profiler.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.helpers.html b/docs/0.10.5/html/dataprofiler.profilers.helpers.html
new file mode 100644
index 000000000..668b1bdd6
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.helpers.html
@@ -0,0 +1,334 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Report Helpers" href="dataprofiler.profilers.helpers.report_helpers.html" /><link rel="prev" title="Profilers" href="dataprofiler.profilers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Helpers - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 current has-children current-page"><a class="current reference internal" href="#">Helpers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="helpers">
+<h1>Helpers<a class="headerlink" href="#helpers" title="Permalink to this headline">¶</a></h1>
+<section id="modules">
+<h2>Modules<a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</div>
+<span class="target" id="module-dataprofiler.profilers.helpers"></span><p>This package provides helper functions for generating reports.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.helpers.calculate_quantiles">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.helpers.</span></span><span class="sig-name descname"><span class="pre">calculate_quantiles</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_quantile_groups</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quantiles</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.helpers.calculate_quantiles" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate and return quantiles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_quantile_groups</strong> (<em>int</em>) – number of quantile groups</p></li>
+<li><p><strong>quantiles</strong> (<em>dict</em><em>[</em><em>int</em><em>, </em><em>int</em><em>]</em>) – original quantiles</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>calculated quantiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict[int, int]</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.helpers.report_helpers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Report Helpers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Profilers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.helpers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Helpers</a><ul>
+<li><a class="reference internal" href="#modules">Modules</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.helpers.report_helpers.html b/docs/0.10.5/html/dataprofiler.profilers.helpers.report_helpers.html
new file mode 100644
index 000000000..55740d02c
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.helpers.report_helpers.html
@@ -0,0 +1,325 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Base Column Profilers" href="dataprofiler.profilers.base_column_profilers.html" /><link rel="prev" title="Helpers" href="dataprofiler.profilers.helpers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Report Helpers - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 current has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l4 current current-page"><a class="current reference internal" href="#">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.helpers.report_helpers">
+<span id="report-helpers"></span><h1>Report Helpers<a class="headerlink" href="#module-dataprofiler.profilers.helpers.report_helpers" title="Permalink to this headline">¶</a></h1>
+<p>Contains helper functions for generating report.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.helpers.report_helpers.calculate_quantiles">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.helpers.report_helpers.</span></span><span class="sig-name descname"><span class="pre">calculate_quantiles</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_quantile_groups</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quantiles</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.helpers.report_helpers.calculate_quantiles" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate and return quantiles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_quantile_groups</strong> (<em>int</em>) – number of quantile groups</p></li>
+<li><p><strong>quantiles</strong> (<em>dict</em><em>[</em><em>int</em><em>, </em><em>int</em><em>]</em>) – original quantiles</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>calculated quantiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict[int, int]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.helpers.report_helpers.flat_dict">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.helpers.report_helpers.</span></span><span class="sig-name descname"><span class="pre">flat_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">od</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'_'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.helpers.report_helpers.flat_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Flatten nested dictionary.</p>
+<p>Each level is collapsed and
+joined with the specified seperator.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>od</strong> (<em>dict</em>) – dictionary or dictionary-like object</p></li>
+<li><p><strong>seperator</strong> (<em>str</em>) – character(s) joining successive levels</p></li>
+<li><p><strong>key</strong> (<em>str</em>) – concatenated keys</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>unnested dictionary</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.base_column_profilers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Base Column Profilers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.helpers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Helpers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.helpers.report_helpers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.histogram_utils.html b/docs/0.10.5/html/dataprofiler.profilers.histogram_utils.html
new file mode 100644
index 000000000..4f369477a
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.histogram_utils.html
@@ -0,0 +1,288 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Int Column Profile" href="dataprofiler.profilers.int_column_profile.html" /><link rel="prev" title="Graph Profiler" href="dataprofiler.profilers.graph_profiler.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Histogram Utils - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.histogram_utils">
+<span id="histogram-utils"></span><h1>Histogram Utils<a class="headerlink" href="#module-dataprofiler.profilers.histogram_utils" title="Permalink to this headline">¶</a></h1>
+<p>Histogram-related functions.</p>
+<p>As noted below, this file contains modified versions of code from:
+<a class="reference external" href="https://github.com/numpy/numpy/tree/main">https://github.com/numpy/numpy/tree/main</a></p>
+<p>A copy of the license for numpy is available here:
+<a class="reference external" href="https://github.com/numpy/numpy/blob/main/LICENSE.txt">https://github.com/numpy/numpy/blob/main/LICENSE.txt</a></p>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.int_column_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Int Column Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.graph_profiler.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Graph Profiler</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.histogram_utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.html b/docs/0.10.5/html/dataprofiler.profilers.html
new file mode 100644
index 000000000..f664c0398
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.html
@@ -0,0 +1,342 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Helpers" href="dataprofiler.profilers.helpers.html" /><link rel="prev" title="Text Data" href="dataprofiler.data_readers.text_data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Profilers - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children current-page"><a class="current reference internal" href="#">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="profilers">
+<h1>Profilers<a class="headerlink" href="#profilers" title="Permalink to this headline">¶</a></h1>
+<section id="modules">
+<h2>Modules<a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="dataprofiler.profilers.helpers.html#modules">Modules</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</div>
+<span class="target" id="module-dataprofiler.profilers"></span><p>Package for providing statistics and predictions for a given dataset.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.helpers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Helpers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.text_data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Text Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Profilers</a><ul>
+<li><a class="reference internal" href="#modules">Modules</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.int_column_profile.html b/docs/0.10.5/html/dataprofiler.profilers.int_column_profile.html
new file mode 100644
index 000000000..5a5af4516
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.int_column_profile.html
@@ -0,0 +1,540 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="JSON Decoder" href="dataprofiler.profilers.json_decoder.html" /><link rel="prev" title="Histogram Utils" href="dataprofiler.profilers.histogram_utils.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Int Column Profile - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.int_column_profile">
+<span id="int-column-profile"></span><h1>Int Column Profile<a class="headerlink" href="#module-dataprofiler.profilers.int_column_profile" title="Permalink to this headline">¶</a></h1>
+<p>Int profile analysis for individual col within structured profiling.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.int_column_profile.</span></span><span class="sig-name descname"><span class="pre">IntColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">IntOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin" title="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.numerical_column_stats.NumericStatsMixin</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.int_column_profile.IntColumn" title="dataprofiler.profilers.int_column_profile.IntColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">IntColumn</span></code></a>], <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.int_column_profile.IntColumn" title="dataprofiler.profilers.int_column_profile.IntColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">IntColumn</span></code></a>]</p>
+<p>Integer column profile mixin with of numerical stats.</p>
+<p>Represents a column in the dataset which is an integer column.</p>
+<p>Initialize column base properties and itself.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>String</em>) – Name of the data</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions" title="dataprofiler.profilers.profiler_options.IntOptions"><em>IntOptions</em></a>) – Options for the integer column</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'int'</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled
+options should be excluded in the report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.int_column_profile.IntColumn" title="dataprofiler.profilers.int_column_profile.IntColumn">IntColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.data_type_ratio">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_type_ratio</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.data_type_ratio" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate the ratio of samples which match this data type.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>ratio of data type</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.int_column_profile.IntColumn" title="dataprofiler.profilers.int_column_profile.IntColumn"><span class="pre">dataprofiler.profilers.int_column_profile.IntColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – df series</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated IntColumn</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.int_column_profile.IntColumn" title="dataprofiler.profilers.int_column_profile.IntColumn">IntColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dataprofiler.profilers.numerical_column_stats.NumericStatsMixinT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for several numerical stats.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<em>NumericStatsMixin Profile</em>) – profile to find the difference with</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the numerical stats differences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.is_float">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_float</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.is_float" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is float.</p>
+<p>For “0.80” this function returns True
+For “1.00” this function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is float or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.is_int">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_int</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.is_int" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is integer.</p>
+<p>For “0.80” This function returns False
+For “1.00” This function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is integer or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.kurtosis">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">kurtosis</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.kurtosis" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return kurtosis value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.mean">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mean</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.mean" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mean value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.median">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.median" title="Permalink to this definition">¶</a></dt>
+<dd><p>Estimate the median of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the median</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.median_abs_deviation">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median_abs_deviation</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.median_abs_deviation" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get median absolute deviation estimated from the histogram of the data.</p>
+<blockquote>
+<div><p>Subtract bin edges from the median value
+Fold the histogram to positive and negative parts around zero
+Impose the two bin edges from the two histogram
+Calculate the counts for the two histograms with the imposed bin edges
+Superimpose the counts from the two histograms
+Interpolate the median absolute deviation from the superimposed counts</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>median absolute deviation</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.mode">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mode</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.mode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find an estimate for the mode[s] of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the mode(s) of the data</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>list(float)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.np_type_to_type">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">np_type_to_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">val</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.np_type_to_type" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert numpy variables to base python type variables.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>val</strong> (<em>numpy type</em><em> or </em><em>base type</em>) – value to check &amp; change</p>
+</dd>
+<dt class="field-even">Return val</dt>
+<dd class="field-even"><p>base python type</p>
+</dd>
+<dt class="field-odd">Rtype val</dt>
+<dd class="field-odd"><p>int or float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.skewness">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">skewness</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.skewness" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return skewness value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.stddev">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">stddev</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.stddev" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return stddev value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.variance">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variance</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.variance" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return variance.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.match_count">
+<span class="sig-name descname"><span class="pre">match_count</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.match_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.json_decoder.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">JSON Decoder</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.histogram_utils.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Histogram Utils</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.int_column_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.json_decoder.html b/docs/0.10.5/html/dataprofiler.profilers.json_decoder.html
new file mode 100644
index 000000000..980aa8b8d
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.json_decoder.html
@@ -0,0 +1,547 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="JSON Encoder" href="dataprofiler.profilers.json_encoder.html" /><link rel="prev" title="Int Column Profile" href="dataprofiler.profilers.int_column_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>JSON Decoder - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.json_decoder">
+<span id="json-decoder"></span><h1>JSON Decoder<a class="headerlink" href="#module-dataprofiler.profilers.json_decoder" title="Permalink to this headline">¶</a></h1>
+<p>Contains methods to decode components of a Profiler.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.get_column_profiler_class">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">get_column_profiler_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">BaseColumnProfiler</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.get_column_profiler_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Use name of class to return default-constructed version of that class.</p>
+<dl class="simple">
+<dt>Raises ValueError if class_name is not name of a subclass of</dt><dd><p>BaseColumnProfiler.</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>class_name</strong> (<em>str representing name of class</em>) – name of BaseColumnProfiler subclass retrieved by
+calling type(instance).__name__</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseColumnProfiler object</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.get_compiler_class">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">get_compiler_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">col_pro_compiler.BaseCompiler</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.get_compiler_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Use name of class to return default-constructed version of that class.</p>
+<dl class="simple">
+<dt>Raises ValueError if class_name is not name of a subclass of</dt><dd><p>BaseCompiler.</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>class_name</strong> (<em>str representing name of class</em>) – name of BaseCompiler subclass retrieved by
+calling type(instance).__name__</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseCompiler object</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.get_option_class">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">get_option_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">BaseOption</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.get_option_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Use name of class to return default-constructed version of that class.</p>
+<dl class="simple">
+<dt>Raises ValueError if class_name is not name of a subclass of</dt><dd><p>BaseOptions.</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>class_name</strong> (<em>str representing name of class</em>) – name of BaseOptions subclass retrieved by
+calling type(instance).__name__</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseOptions object</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.get_profiler_class">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">get_profiler_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">BaseProfiler</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.get_profiler_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Use name of class to return default-constructed version of that class.</p>
+<dl class="simple">
+<dt>Raises ValueError if class_name is not name of a subclass of</dt><dd><p>BaseProfiler.</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>class_name</strong> (<em>str representing name of class</em>) – name of BaseProfiler subclass retrieved by
+calling type(instance).__name__</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p>ValueError if the profiler class does not exist</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>subclass of BaseProfiler object</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.get_structured_col_profiler_class">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">get_structured_col_profiler_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">StructuredColProfiler</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.get_structured_col_profiler_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Use name of class to return default-constructed version of that class.</p>
+<dl class="simple">
+<dt>Raises ValueError if class_name is not name of a subclass of</dt><dd><p>StructuredColProfiler.</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>class_name</strong> (<em>str representing name of class</em>) – name of StructuredColProfiler subclass retrieved by
+calling type(instance).__name__</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of StructuredColProfiler object</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.load_column_profile">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">load_column_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">serialized_json</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseColumnProfiler</span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.load_column_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Construct subclass of BaseColumnProfiler given a serialized JSON.</p>
+<dl>
+<dt>Expected format of serialized_json (see json_encoder):</dt><dd><dl>
+<dt>{</dt><dd><p>“class”: &lt;str name of class that was serialized&gt;
+“data”: {</p>
+<blockquote>
+<div><p>&lt;attr1&gt;: &lt;value1&gt;
+&lt;attr2&gt;: &lt;value2&gt;
+…</p>
+</div></blockquote>
+<p>}</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>serialized_json</strong> (<em>a dict that was created by calling json.loads on
+a JSON representation using the custom encoder</em>) – JSON representation of column profiler that was
+serialized using the custom encoder in profilers.json_encoder</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for overriding data params when loading from dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseColumnProfiler that has been deserialized from
+JSON</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.load_compiler">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">load_compiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">serialized_json</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">col_pro_compiler.BaseCompiler</span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.load_compiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Construct subclass of BaseCompiler given a serialized JSON.</p>
+<dl>
+<dt>Expected format of serialized_json (see json_encoder):</dt><dd><dl>
+<dt>{</dt><dd><p>“class”: &lt;str name of class that was serialized&gt;
+“data”: {</p>
+<blockquote>
+<div><p>&lt;attr1&gt;: &lt;value1&gt;
+&lt;attr2&gt;: &lt;value2&gt;
+…</p>
+</div></blockquote>
+<p>}</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>serialized_json</strong> (<em>a dict that was created by calling json.loads on
+a JSON representation using the custom encoder</em>) – JSON representation of profile compiler that was
+serialized using the custom encoder in profilers.json_encoder</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for overriding data params when loading from dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseCompiler that has been deserialized from
+JSON</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.load_option">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">load_option</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">serialized_json</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseOption</span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.load_option" title="Permalink to this definition">¶</a></dt>
+<dd><p>Construct subclass of BaseOption given a serialized JSON.</p>
+<dl>
+<dt>Expected format of serialized_json (see json_encoder):</dt><dd><dl>
+<dt>{</dt><dd><p>“class”: &lt;str name of class that was serialized&gt;
+“data”: {</p>
+<blockquote>
+<div><p>&lt;attr1&gt;: &lt;value1&gt;
+&lt;attr2&gt;: &lt;value2&gt;
+…</p>
+</div></blockquote>
+<p>}</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>serialized_json</strong> (<em>a dict that was created by calling json.loads on
+a JSON representation using the custom encoder</em>) – JSON representation of option that was
+serialized using the custom encoder in profilers.json_encoder</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for overriding data params when loading from dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseOption that has been deserialized from
+JSON</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.load_profiler">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">load_profiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">serialized_json</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseProfiler</span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.load_profiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Construct subclass of BaseProfiler given a serialized JSON.</p>
+<dl>
+<dt>Expected format of serialized_json (see json_encoder):</dt><dd><dl>
+<dt>{</dt><dd><p>“class”: &lt;str name of class that was serialized&gt;
+“data”: {</p>
+<blockquote>
+<div><p>&lt;attr1&gt;: &lt;value1&gt;
+&lt;attr2&gt;: &lt;value2&gt;
+…</p>
+</div></blockquote>
+<p>}</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>serialized_json</strong> (<em>a dict that was created by calling json.loads on
+a JSON representation using the custom encoder</em>) – JSON representation of column profiler that was
+serialized using the custom encoder in profilers.json_encoder</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for overriding data params when loading from dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseProfiler that has been deserialized from
+JSON</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.load_structured_col_profiler">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">load_structured_col_profiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">serialized_json</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">StructuredColProfiler</span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.load_structured_col_profiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Construct subclass of BaseProfiler given a serialized JSON.</p>
+<dl>
+<dt>Expected format of serialized_json (see json_encoder):</dt><dd><dl>
+<dt>{</dt><dd><p>“class”: &lt;str name of class that was serialized&gt;
+“data”: {</p>
+<blockquote>
+<div><p>&lt;attr1&gt;: &lt;value1&gt;
+&lt;attr2&gt;: &lt;value2&gt;
+…</p>
+</div></blockquote>
+<p>}</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>serialized_json</strong> (<em>a dict that was created by calling json.loads on
+a JSON representation using the custom encoder</em>) – JSON representation of column profiler that was
+serialized using the custom encoder in profilers.json_encoder</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for overriding data params when loading from dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseCompiler that has been deserialized from
+JSON</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.json_encoder.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">JSON Encoder</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.int_column_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Int Column Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.json_decoder.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.json_encoder.html b/docs/0.10.5/html/dataprofiler.profilers.json_encoder.html
new file mode 100644
index 000000000..6d0250cfa
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.json_encoder.html
@@ -0,0 +1,364 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Numerical Column Stats" href="dataprofiler.profilers.numerical_column_stats.html" /><link rel="prev" title="JSON Decoder" href="dataprofiler.profilers.json_decoder.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>JSON Encoder - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.json_encoder">
+<span id="json-encoder"></span><h1>JSON Encoder<a class="headerlink" href="#module-dataprofiler.profilers.json_encoder" title="Permalink to this headline">¶</a></h1>
+<p>Contains ProfilerEncoder class.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_encoder.ProfileEncoder">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_encoder.</span></span><span class="sig-name descname"><span class="pre">ProfileEncoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">skipkeys</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ensure_ascii</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">check_circular</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allow_nan</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_keys</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">indent</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">separators</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.json_encoder.ProfileEncoder" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">json.encoder.JSONEncoder</span></code></p>
+<p>JSONify profiler objects and it subclasses and contents.</p>
+<p>Constructor for JSONEncoder, with sensible defaults.</p>
+<p>If skipkeys is false, then it is a TypeError to attempt
+encoding of keys that are not str, int, float or None.  If
+skipkeys is True, such items are simply skipped.</p>
+<p>If ensure_ascii is true, the output is guaranteed to be str
+objects with all incoming non-ASCII characters escaped.  If
+ensure_ascii is false, the output can contain non-ASCII characters.</p>
+<p>If check_circular is true, then lists, dicts, and custom encoded
+objects will be checked for circular references during encoding to
+prevent an infinite recursion (which would cause an RecursionError).
+Otherwise, no such check takes place.</p>
+<p>If allow_nan is true, then NaN, Infinity, and -Infinity will be
+encoded as such.  This behavior is not JSON specification compliant,
+but is consistent with most JavaScript based encoders and decoders.
+Otherwise, it will be a ValueError to encode such floats.</p>
+<p>If sort_keys is true, then the output of dictionaries will be
+sorted by key; this is useful for regression tests to ensure
+that JSON serializations can be compared on a day-to-day basis.</p>
+<p>If indent is a non-negative integer, then JSON array
+elements and object members will be pretty-printed with that
+indent level.  An indent level of 0 will only insert newlines.
+None is the most compact representation.</p>
+<p>If specified, separators should be an (item_separator, key_separator)
+tuple.  The default is (’, ‘, ‘: ‘) if <em>indent</em> is <code class="docutils literal notranslate"><span class="pre">None</span></code> and
+(‘,’, ‘: ‘) otherwise.  To get the most compact JSON representation,
+you should specify (‘,’, ‘:’) to eliminate whitespace.</p>
+<p>If specified, default is a function that gets called for objects
+that can’t otherwise be serialized.  It should return a JSON encodable
+version of the object or raise a <code class="docutils literal notranslate"><span class="pre">TypeError</span></code>.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_encoder.ProfileEncoder.default">
+<span class="sig-name descname"><span class="pre">default</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">to_serialize</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.json_encoder.ProfileEncoder.default" title="Permalink to this definition">¶</a></dt>
+<dd><p>Specify how an object should be serialized.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>to_serialize</strong> (<em>a BaseColumnProfile object</em>) – an object to be serialized</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p>NotImplementedError</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>a datatype serializble by json.JSONEncoder</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_encoder.ProfileEncoder.encode">
+<span class="sig-name descname"><span class="pre">encode</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">o</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.json_encoder.ProfileEncoder.encode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a JSON string representation of a Python data structure.</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">json.encoder</span> <span class="kn">import</span> <span class="n">JSONEncoder</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">JSONEncoder</span><span class="p">()</span><span class="o">.</span><span class="n">encode</span><span class="p">({</span><span class="s2">"foo"</span><span class="p">:</span> <span class="p">[</span><span class="s2">"bar"</span><span class="p">,</span> <span class="s2">"baz"</span><span class="p">]})</span>
+<span class="go">'{"foo": ["bar", "baz"]}'</span>
+</pre></div>
+</div>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_encoder.ProfileEncoder.item_separator">
+<span class="sig-name descname"><span class="pre">item_separator</span></span><em class="property"> <span class="pre">=</span> <span class="pre">',</span> <span class="pre">'</span></em><a class="headerlink" href="#dataprofiler.profilers.json_encoder.ProfileEncoder.item_separator" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_encoder.ProfileEncoder.iterencode">
+<span class="sig-name descname"><span class="pre">iterencode</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">o</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">_one_shot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.json_encoder.ProfileEncoder.iterencode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Encode the given object and yield each string
+representation as available.</p>
+<p>For example:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">for</span> <span class="n">chunk</span> <span class="ow">in</span> <span class="n">JSONEncoder</span><span class="p">()</span><span class="o">.</span><span class="n">iterencode</span><span class="p">(</span><span class="n">bigobject</span><span class="p">):</span>
+    <span class="n">mysocket</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">chunk</span><span class="p">)</span>
+</pre></div>
+</div>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_encoder.ProfileEncoder.key_separator">
+<span class="sig-name descname"><span class="pre">key_separator</span></span><em class="property"> <span class="pre">=</span> <span class="pre">':</span> <span class="pre">'</span></em><a class="headerlink" href="#dataprofiler.profilers.json_encoder.ProfileEncoder.key_separator" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.numerical_column_stats.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Numerical Column Stats</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.json_decoder.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">JSON Decoder</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.json_encoder.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.numerical_column_stats.html b/docs/0.10.5/html/dataprofiler.profilers.numerical_column_stats.html
new file mode 100644
index 000000000..f970bd576
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.numerical_column_stats.html
@@ -0,0 +1,536 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Order Column Profile" href="dataprofiler.profilers.order_column_profile.html" /><link rel="prev" title="JSON Encoder" href="dataprofiler.profilers.json_encoder.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Numerical Column Stats - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.numerical_column_stats">
+<span id="numerical-column-stats"></span><h1>Numerical Column Stats<a class="headerlink" href="#module-dataprofiler.profilers.numerical_column_stats" title="Permalink to this headline">¶</a></h1>
+<p>Build model for dataset by identifying col type along with its respective params.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.abstractstaticmethod">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.numerical_column_stats.</span></span><span class="sig-name descname"><span class="pre">abstractstaticmethod</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">function</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Callable</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.abstractstaticmethod" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">staticmethod</span></code></p>
+<p>For making function an abstract method.</p>
+<p>Initialize abstract static method.</p>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.numerical_column_stats.</span></span><span class="sig-name descname"><span class="pre">NumericStatsMixin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions" title="dataprofiler.profilers.profiler_options.NumericalOptions"><span class="pre">dataprofiler.profilers.profiler_options.NumericalOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfiler</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.numerical_column_stats.NumericStatsMixinT</span></code>]</p>
+<p>Abstract numerical column profile subclass of BaseColumnProfiler.</p>
+<p>Represents column in the dataset which is a text column.
+Has Subclasses itself.</p>
+<p>Initialize column base properties and itself.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions" title="dataprofiler.profilers.profiler_options.NumericalOptions"><em>NumericalOptions</em></a>) – Options for the numerical stats.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.profile">
+<span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return profile of the column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Call the profile and remove the disabled columns from profile’s report.</p>
+<blockquote>
+<div><p>“Disabled column” is defined as a column
+that is not present in <cite>self.__calculations</cite> but is present
+in the <cite>self.profile</cite>.</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> – true/false value to tell the code to remove
+values missing in __calculations</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profile object pop’d based on values missing from __calculations</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Profile</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dataprofiler.profilers.numerical_column_stats.NumericStatsMixinT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for several numerical stats.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<em>NumericStatsMixin Profile</em>) – profile to find the difference with</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the numerical stats differences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.mean">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mean</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.mean" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mean value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.mode">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mode</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.mode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find an estimate for the mode[s] of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the mode(s) of the data</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>list(float)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.median">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.median" title="Permalink to this definition">¶</a></dt>
+<dd><p>Estimate the median of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the median</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.variance">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variance</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.variance" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return variance.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.stddev">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">stddev</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.stddev" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return stddev value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.skewness">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">skewness</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.skewness" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return skewness value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.kurtosis">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">kurtosis</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.kurtosis" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return kurtosis value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.median_abs_deviation">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median_abs_deviation</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.median_abs_deviation" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get median absolute deviation estimated from the histogram of the data.</p>
+<blockquote>
+<div><p>Subtract bin edges from the median value
+Fold the histogram to positive and negative parts around zero
+Impose the two bin edges from the two histogram
+Calculate the counts for the two histograms with the imposed bin edges
+Superimpose the counts from the two histograms
+Interpolate the median absolute deviation from the superimposed counts</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>median absolute deviation</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseColumnProfilerT</span></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler">BaseColumnProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.update">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin" title="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin"><span class="pre">dataprofiler.profilers.numerical_column_stats.NumericStatsMixin</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the numerical profile properties with an uncleaned dataset.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – df series with nulls removed</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.is_float">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_float</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.is_float" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is float.</p>
+<p>For “0.80” this function returns True
+For “1.00” this function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is float or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.is_int">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_int</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.is_int" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is integer.</p>
+<p>For “0.80” This function returns False
+For “1.00” This function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is integer or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.np_type_to_type">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">np_type_to_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">val</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.np_type_to_type" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert numpy variables to base python type variables.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>val</strong> (<em>numpy type</em><em> or </em><em>base type</em>) – value to check &amp; change</p>
+</dd>
+<dt class="field-even">Return val</dt>
+<dd class="field-even"><p>base python type</p>
+</dd>
+<dt class="field-odd">Rtype val</dt>
+<dd class="field-odd"><p>int or float</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.order_column_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Order Column Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.json_encoder.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">JSON Encoder</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.numerical_column_stats.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.order_column_profile.html b/docs/0.10.5/html/dataprofiler.profilers.order_column_profile.html
new file mode 100644
index 000000000..cd6449b57
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.order_column_profile.html
@@ -0,0 +1,402 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Profile Builder" href="dataprofiler.profilers.profile_builder.html" /><link rel="prev" title="Numerical Column Stats" href="dataprofiler.profilers.numerical_column_stats.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Order Column Profile - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.order_column_profile">
+<span id="order-column-profile"></span><h1>Order Column Profile<a class="headerlink" href="#module-dataprofiler.profilers.order_column_profile" title="Permalink to this headline">¶</a></h1>
+<p>Index profile analysis for individual col within structured profiling.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.Comparable">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.order_column_profile.</span></span><span class="sig-name descname"><span class="pre">Comparable</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.Comparable" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Protocol</span></code></p>
+<p>Protocol for ensuring comparable types, in this case both floats or strings.</p>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.order_column_profile.</span></span><span class="sig-name descname"><span class="pre">OrderColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">OrderOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.order_column_profile.OrderColumn" title="dataprofiler.profilers.order_column_profile.OrderColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">OrderColumn</span></code></a>]</p>
+<p>Index column profile subclass of BaseColumnProfiler.</p>
+<p>Represents a column in the dataset which is an index column.</p>
+<p>Initialize column base properties and self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>String</em>) – Name of the data</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.OrderOptions" title="dataprofiler.profilers.profiler_options.OrderOptions"><em>OrderOptions</em></a>) – Options for the Order column</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'order'</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Private abstract method for returning report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled
+options should be excluded in the report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – options for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="dataprofiler.profilers.categorical_column_profile.CategoricalColumn">CategoricalColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Property for profile. Returns the profile of the column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.order_column_profile.OrderColumn" title="dataprofiler.profilers.order_column_profile.OrderColumn"><span class="pre">dataprofiler.profilers.order_column_profile.OrderColumn</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Generate the differences between the orders of two OrderColumns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Dict containing the differences between orders in their</p>
+</dd>
+</dl>
+<p>appropriate output formats
+:rtype: dict</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.order_column_profile.OrderColumn" title="dataprofiler.profilers.order_column_profile.OrderColumn"><span class="pre">dataprofiler.profilers.order_column_profile.OrderColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – df series</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated OrderColumn</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.order_column_profile.OrderColumn" title="dataprofiler.profilers.order_column_profile.OrderColumn">OrderColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.profile_builder.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Profile Builder</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.numerical_column_stats.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Numerical Column Stats</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.order_column_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.profile_builder.html b/docs/0.10.5/html/dataprofiler.profilers.profile_builder.html
new file mode 100644
index 000000000..4b47b9412
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.profile_builder.html
@@ -0,0 +1,892 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Profiler Options" href="dataprofiler.profilers.profiler_options.html" /><link rel="prev" title="Order Column Profile" href="dataprofiler.profilers.order_column_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Profile Builder - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.profile_builder">
+<span id="profile-builder"></span><h1>Profile Builder<a class="headerlink" href="#module-dataprofiler.profilers.profile_builder" title="Permalink to this headline">¶</a></h1>
+<p>Build model for dataset by identifying col type along with its respective params.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profile_builder.</span></span><span class="sig-name descname"><span class="pre">StructuredColProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_sample_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">5000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling_ratio</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_ids</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column_index</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><span class="pre">dataprofiler.profilers.profiler_options.StructuredOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>For profiling structured data columns.</p>
+<p>Instantiate the StructuredColProfiler class for a given column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – Data to be profiled</p></li>
+<li><p><strong>sample_size</strong> (<em>int</em>) – Number of samples to use in generating profile</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – Minimum number of samples required for the
+profiler</p></li>
+<li><p><strong>sample_ids</strong> (<em>list</em><em>(</em><em>list</em><em>)</em>) – Randomized list of sample indices</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.Pool</em>) – pool utilized for multiprocessing</p></li>
+<li><p><strong>column_index</strong> (<em>int</em>) – index of the given column</p></li>
+<li><p><strong>options</strong> (<em>StructuredOptions Object</em>) – Options for the structured profiler.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler.update_column_profilers">
+<span class="sig-name descname"><span class="pre">update_column_profilers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">clean_sampled_df</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler.update_column_profilers" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate type statistics and label dataset.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>clean_sampled_df</strong> (<em>Pandas.Series</em>) – sampled series with none types dropped</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.pool</em>) – pool utilized for multiprocessing</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler" title="dataprofiler.profilers.profile_builder.StructuredColProfiler"><span class="pre">dataprofiler.profilers.profile_builder.StructuredColProfiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between 2 StructuredCols and return the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler" title="dataprofiler.profilers.profile_builder.StructuredColProfiler"><em>StructuredColProfiler</em></a>) – Structured col finding the difference with this
+one.</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options to change results of the difference</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the structured column</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">collections.OrderedDict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return profile.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler" title="dataprofiler.profilers.profile_builder.StructuredColProfiler"><span class="pre">StructuredColProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading structured column profiler</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler" title="dataprofiler.profilers.profile_builder.StructuredColProfiler">StructuredColProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a report.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_ids</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profiler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – Data to be profiled</p></li>
+<li><p><strong>sample_size</strong> (<em>int</em>) – Number of samples to use in generating profile</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – Minimum number of samples required for the
+profiler</p></li>
+<li><p><strong>sample_ids</strong> (<em>list</em><em>(</em><em>list</em><em>)</em>) – Randomized list of sample indices</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.Pool</em>) – pool utilized for multiprocessing</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler.clean_data_and_get_base_stats">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">clean_data_and_get_base_stats</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pd.Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">null_values</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">re.RegexFlag</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_ids</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pd.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler.clean_data_and_get_base_stats" title="Permalink to this definition">¶</a></dt>
+<dd><p>Identify null characters and return them in a dictionary.</p>
+<p>Remove any nulls in column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – a given column</p></li>
+<li><p><strong>sample_size</strong> (<em>int</em>) – Number of samples to use in generating the profile</p></li>
+<li><p><strong>null_values</strong> (<em>Dict</em><em>[</em><em>str</em><em>, </em><em>Union</em><em>[</em><em>re.RegexFlag</em><em>, </em><em>int</em><em>]</em><em>]</em>) – Dictionary mapping null values to regex flag where
+the key represents the null value to remove from the data and the
+flag represents the regex flag to apply</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – Minimum number of samples required for the
+profiler</p></li>
+<li><p><strong>sample_ids</strong> (<em>list</em><em>(</em><em>list</em><em>)</em>) – Randomized list of sample indices</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated column with null removed and dictionary of null
+parameters</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>pd.Series, dict</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profile_builder.</span></span><span class="sig-name descname"><span class="pre">BaseProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Data</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">samples_per_update</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">BaseOption</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Abstract class for profiling data.</p>
+<p>Instantiate the BaseProfiler class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Data class object</em>) – Data to be profiled</p></li>
+<li><p><strong>samples_per_update</strong> (<em>int</em>) – Number of samples to use in generating
+profile</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – Minimum number of samples required for the
+profiler</p></li>
+<li><p><strong>options</strong> (<em>ProfilerOptions Object</em>) – Options for the profiler.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><span class="pre">dataprofiler.profilers.profile_builder.BaseProfiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference of two profiles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><em>BaseProfiler</em></a>) – profile being added to this one.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>diff of the two profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">BaseCompiler</span> <span class="pre">|</span> <span class="pre">list[StructuredColProfiler]</span></em><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the stored profiles for the given profiler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>BaseCompiler | list[StructuredColProfiler]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">report_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return profile report based on all profiled data fed into the profiler.</p>
+<dl>
+<dt>User can specify the output_formats: (pretty, compact, serializable, flat).</dt><dd><dl class="simple">
+<dt>Pretty: floats are rounded to four decimal places, and lists are</dt><dd><p>shortened.</p>
+</dd>
+<dt>Compact: Similar to pretty, but removes detailed statistics such as</dt><dd><p>runtimes, label probabilities, index locations of null types,
+etc.</p>
+</dd>
+</dl>
+<p>Serializable: Output is json serializable and not prettified
+Flat: Nested output is returned as a flattened dictionary</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><p><strong>report_options</strong> – optional format changes to the report
+<cite>dict(output_format=&lt;FORMAT&gt;)</cite></p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dictionary report</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseProfilerT</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for overriding data params when loading from dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler">BaseProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">data_readers.base_data.BaseData</span> <span class="p"><span class="pre">|</span></span> <span class="pre">pd.DataFrame</span> <span class="p"><span class="pre">|</span></span> <span class="pre">pd.Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profile for data provided.</p>
+<p>User can specify the sample size to profile the data with.
+Additionally, the user can specify the
+minimum number of non-null samples to profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><em>data_readers.base_data.BaseData</em></a><em>, </em><em>pandas.DataFrame</em><em>,
+</em><em>pandas.Series</em><em>]</em>) – data to be profiled</p></li>
+<li><p><strong>sample_size</strong> (<em>int</em>) – number of samples to profile from the data</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – minimum number of non-null samples to profile</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'pickle'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler.save" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save profiler to disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath</strong> (<em>String</em>) – Path of file to save to</p></li>
+<li><p><strong>save_method</strong> (<em>String</em>) – The desired saving method (must be “pickle” or “json”)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler.load">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><span class="pre">BaseProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler.load" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load profiler from disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath</strong> (<em>String</em>) – Path of file to load from</p></li>
+<li><p><strong>load_method</strong> (<em>Optional</em><em>[</em><em>String</em><em>]</em>) – The desired loading method, default = None</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler being loaded, StructuredProfiler or
+UnstructuredProfiler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler">BaseProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profile_builder.</span></span><span class="sig-name descname"><span class="pre">UnstructuredProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.data_readers.data.html#dataprofiler.data_readers.data.Data" title="dataprofiler.data_readers.data.Data"><span class="pre">dataprofiler.data_readers.data.Data</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">samples_per_update</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">dataprofiler.profilers.profiler_options.BaseOption</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profile_builder.BaseProfiler</span></code></a></p>
+<p>For profiling unstructured data.</p>
+<p>Instantiate the UnstructuredProfiler class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Data class object</em>) – Data to be profiled</p></li>
+<li><p><strong>samples_per_update</strong> (<em>int</em>) – Number of samples to use in generating
+profile</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – Minimum number of samples required for the
+profiler</p></li>
+<li><p><strong>options</strong> (<em>ProfilerOptions Object</em>) – Options for the profiler.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>UnstructuredProfiler</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler" title="dataprofiler.profilers.profile_builder.UnstructuredProfiler"><span class="pre">UnstructuredProfiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find difference between 2 unstuctured profiles and return the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler" title="dataprofiler.profilers.profile_builder.UnstructuredProfiler"><em>UnstructuredProfiler</em></a>) – profile finding the difference with this one.</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options to impact the results of the diff</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dataprofiler.profilers.column_profile_compilers.BaseCompiler</span></em><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the stored profiles for the given profiler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>BaseCompiler</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">report_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return unstructured report based on all profiled data fed into profiler.</p>
+<dl>
+<dt>User can specify the output_formats: (pretty, compact, serializable, flat).</dt><dd><dl class="simple">
+<dt>Pretty: floats are rounded to four decimal places, and lists are</dt><dd><p>shortened.</p>
+</dd>
+<dt>Compact: Similar to pretty, but removes detailed statistics such as</dt><dd><p>runtimes, label probabilities, index locations of null types,
+etc.</p>
+</dd>
+</dl>
+<p>Serializable: Output is json serializable and not prettified
+Flat: Nested output is returned as a flattened dictionary</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><p><strong>report_options</strong> – optional format changes to the report
+<cite>dict(output_format=&lt;FORMAT&gt;)</cite></p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dictionary report</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p>NotImplementedError</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'pickle'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler.save" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save profiler to disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath</strong> (<em>String</em>) – Path of file to save to</p></li>
+<li><p><strong>save_method</strong> (<em>String</em>) – The desired saving method (“pickle” | “json”)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler.load">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><span class="pre">BaseProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler.load" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load profiler from disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath</strong> (<em>String</em>) – Path of file to load from</p></li>
+<li><p><strong>load_method</strong> (<em>Optional</em><em>[</em><em>String</em><em>]</em>) – The desired loading method, default = None</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler being loaded, StructuredProfiler or
+UnstructuredProfiler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler">BaseProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">data_readers.base_data.BaseData</span> <span class="p"><span class="pre">|</span></span> <span class="pre">pd.DataFrame</span> <span class="p"><span class="pre">|</span></span> <span class="pre">pd.Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profile for data provided.</p>
+<p>User can specify the sample size to profile the data with.
+Additionally, the user can specify the
+minimum number of non-null samples to profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><em>data_readers.base_data.BaseData</em></a><em>, </em><em>pandas.DataFrame</em><em>,
+</em><em>pandas.Series</em><em>]</em>) – data to be profiled</p></li>
+<li><p><strong>sample_size</strong> (<em>int</em>) – number of samples to profile from the data</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – minimum number of non-null samples to profile</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profile_builder.</span></span><span class="sig-name descname"><span class="pre">StructuredProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.data_readers.data.html#dataprofiler.data_readers.data.Data" title="dataprofiler.data_readers.data.Data"><span class="pre">dataprofiler.data_readers.data.Data</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">samples_per_update</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">dataprofiler.profilers.profiler_options.BaseOption</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profile_builder.BaseProfiler</span></code></a></p>
+<p>For profiling structured data.</p>
+<p>Instantiate the StructuredProfiler class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Data class object</em>) – Data to be profiled</p></li>
+<li><p><strong>samples_per_update</strong> (<em>int</em>) – Number of samples to use in generating
+profile</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – Minimum number of samples required for the
+profiler</p></li>
+<li><p><strong>options</strong> (<em>ProfilerOptions Object</em>) – Options for the profiler.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>StructuredProfiler</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredProfiler" title="dataprofiler.profilers.profile_builder.StructuredProfiler"><span class="pre">StructuredProfiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between 2 Profiles and return the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredProfiler" title="dataprofiler.profilers.profile_builder.StructuredProfiler"><em>StructuredProfiler</em></a>) – profile finding the difference with this one</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options to change results of the difference</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the stored profiles for the given profiler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list[StructuredColProfiler]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">report_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a report.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredProfiler" title="dataprofiler.profilers.profile_builder.StructuredProfiler"><span class="pre">StructuredProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredProfiler" title="dataprofiler.profilers.profile_builder.StructuredProfiler">StructuredProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'pickle'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler.save" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save profiler to disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath</strong> (<em>String</em>) – Path of file to save to</p></li>
+<li><p><strong>save_method</strong> (<em>String</em>) – The desired saving method (must be “pickle” or “json”)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler.load">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><span class="pre">BaseProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler.load" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load profiler from disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath</strong> (<em>String</em>) – Path of file to load from</p></li>
+<li><p><strong>load_method</strong> (<em>Optional</em><em>[</em><em>String</em><em>]</em>) – The desired loading method, default = None</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler being loaded, StructuredProfiler or
+UnstructuredProfiler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler">BaseProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">data_readers.base_data.BaseData</span> <span class="p"><span class="pre">|</span></span> <span class="pre">pd.DataFrame</span> <span class="p"><span class="pre">|</span></span> <span class="pre">pd.Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profile for data provided.</p>
+<p>User can specify the sample size to profile the data with.
+Additionally, the user can specify the
+minimum number of non-null samples to profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><em>data_readers.base_data.BaseData</em></a><em>, </em><em>pandas.DataFrame</em><em>,
+</em><em>pandas.Series</em><em>]</em>) – data to be profiled</p></li>
+<li><p><strong>sample_size</strong> (<em>int</em>) – number of samples to profile from the data</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – minimum number of non-null samples to profile</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.Profiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profile_builder.</span></span><span class="sig-name descname"><span class="pre">Profiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">samples_per_update</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">ProfilerOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">profiler_type</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.Profiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>For profiling data.</p>
+<p>Instantiate Structured and Unstructured Profilers.</p>
+<p>This is a factory class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Data class object</em>) – Data to be profiled, type allowed depends on the
+profiler_type</p></li>
+<li><p><strong>samples_per_update</strong> (<em>int</em>) – Number of samples to use to generate profile</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – Min number of samples required for the profiler</p></li>
+<li><p><strong>options</strong> (<em>ProfilerOptions Object</em>) – Options for the profiler.</p></li>
+<li><p><strong>profiler_type</strong> (<em>str</em>) – Type of Profiler (“graph”/”structured”/”unstructured”)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Union[GraphProfiler, StructuredProfiler, UnstructuredProfiler]</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.Profiler.load">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><span class="pre">BaseProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.Profiler.load" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load profiler from disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath</strong> (<em>String</em>) – Path of file to load from</p></li>
+<li><p><strong>load_method</strong> (<em>Optional</em><em>[</em><em>String</em><em>]</em>) – The desired loading method, default = “None”</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler being loaded, StructuredProfiler or
+UnstructuredProfiler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler">BaseProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.profiler_options.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Profiler Options</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.order_column_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Order Column Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.profile_builder.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.profiler_options.html b/docs/0.10.5/html/dataprofiler.profilers.profiler_options.html
new file mode 100644
index 000000000..b650891ad
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.profiler_options.html
@@ -0,0 +1,2396 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Profiler Utils" href="dataprofiler.profilers.profiler_utils.html" /><link rel="prev" title="Profile Builder" href="dataprofiler.profilers.profile_builder.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Profiler Options - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.profiler_options">
+<span id="profiler-options"></span><h1>Profiler Options<a class="headerlink" href="#module-dataprofiler.profilers.profiler_options" title="Permalink to this headline">¶</a></h1>
+<p>Specify the options when running the data profiler.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseOption">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">BaseOption</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseOption" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Generic</span></code>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseOptionT</span></code>]</p>
+<p>For configuring options.</p>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseOption.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseOption.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseOption.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseOption.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseOption.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseOption.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseOption.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseOption.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BooleanOption">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">BooleanOption</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseOption</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BooleanOptionT</span></code>]</p>
+<p>For setting Boolean options.</p>
+<p>Initialize Boolean option.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the option.</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BooleanOption.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BooleanOption.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BooleanOption.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BooleanOption.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BooleanOption.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BooleanOption.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BooleanOption.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BooleanOption.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">HistogramAndQuantilesOption</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bin_count_or_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_quantiles</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1000</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BooleanOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption" title="dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">HistogramAndQuantilesOption</span></code></a>]</p>
+<p>For setting histogram options.</p>
+<p>Initialize Options for histograms.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the option.</p></li>
+<li><p><strong>bin_count_or_method</strong> (<em>Union</em><em>[</em><em>str</em><em>, </em><em>int</em><em>, </em><em>list</em><em>(</em><em>str</em><em>)</em><em>]</em>) – bin count or the method with which to
+calculate histograms</p></li>
+<li><p><strong>num_quantiles</strong> (<em>int</em>) – number of quantiles</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ModeOption">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">ModeOption</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_k_modes</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ModeOption" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BooleanOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.ModeOption" title="dataprofiler.profilers.profiler_options.ModeOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">ModeOption</span></code></a>]</p>
+<p>For setting mode estimation options.</p>
+<p>Initialize Options for mode estimation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the option.</p></li>
+<li><p><strong>max_k_modes</strong> (<em>int</em>) – the max number of modes to return, if applicable</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ModeOption.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ModeOption.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ModeOption.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ModeOption.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ModeOption.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ModeOption.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ModeOption.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ModeOption.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseInspectorOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">BaseInspectorOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BooleanOption</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptionsT</span></code>]</p>
+<p>For setting Base options.</p>
+<p>Initialize Base options for all the columns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseInspectorOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseInspectorOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseInspectorOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseInspectorOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseInspectorOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.NumericalOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">NumericalOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.NumericalOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="dataprofiler.profilers.profiler_options.BaseInspectorOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptions</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.NumericalOptionsT</span></code>]</p>
+<p>For configuring options for Numerican Stats Mixin.</p>
+<p>Initialize Options for the Numerical Stats Mixin.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p></li>
+<li><p><strong>min</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable min</p></li>
+<li><p><strong>max</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable max</p></li>
+<li><p><strong>mode</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.ModeOption" title="dataprofiler.profilers.profiler_options.ModeOption"><em>ModeOption</em></a>) – option to enable/disable mode and set return count</p></li>
+<li><p><strong>median</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – option to enable/disable median</p></li>
+<li><p><strong>sum</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable sum</p></li>
+<li><p><strong>variance</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable variance</p></li>
+<li><p><strong>skewness</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable skewness</p></li>
+<li><p><strong>kurtosis</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable kurtosis</p></li>
+<li><p><strong>histogram_and_quantiles</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable
+histogram_and_quantiles</p></li>
+</ul>
+</dd>
+</dl>
+<p>:ivar bias_correction : boolean option to enable/disable existence of bias
+:vartype bias_correction: BooleanOption
+:ivar num_zeros: boolean option to enable/disable num_zeros
+:vartype num_zeros: BooleanOption
+:ivar num_negatives: boolean option to enable/disable num_negatives
+:vartype num_negatives: BooleanOption
+:ivar is_numeric_stats_enabled: boolean to enable/disable all numeric</p>
+<blockquote>
+<div><p>stats</p>
+</div></blockquote>
+<dl class="field-list simple">
+</dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.NumericalOptions.is_numeric_stats_enabled">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_numeric_stats_enabled</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.NumericalOptions.is_numeric_stats_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the state of numeric stats being enabled / disabled.</p>
+<p>If any numeric stats property is enabled it will return True,
+otherwise it will return False.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>true if any numeric stats property is enabled, otherwise false</p>
+</dd>
+<dt class="field-even">Rtype bool</dt>
+<dd class="field-even"><p></p></dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.NumericalOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.NumericalOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Include is_enabled.</p>
+<p>is_enabled: Turns on or off the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.NumericalOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.NumericalOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.NumericalOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.NumericalOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.NumericalOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.NumericalOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.NumericalOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.NumericalOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.IntOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">IntOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.IntOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.NumericalOptions" title="dataprofiler.profilers.profiler_options.NumericalOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.NumericalOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.IntOptions" title="dataprofiler.profilers.profiler_options.IntOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">IntOptions</span></code></a>]</p>
+<p>For configuring options for Int Column.</p>
+<p>Initialize Options for the Int Column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p></li>
+<li><p><strong>min</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable min</p></li>
+<li><p><strong>max</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable max</p></li>
+<li><p><strong>mode</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.ModeOption" title="dataprofiler.profilers.profiler_options.ModeOption"><em>ModeOption</em></a>) – option to enable/disable mode and set return count</p></li>
+<li><p><strong>median</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – option to enable/disable median</p></li>
+<li><p><strong>sum</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable sum</p></li>
+<li><p><strong>variance</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable variance</p></li>
+<li><p><strong>skewness</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable skewness</p></li>
+<li><p><strong>kurtosis</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable kurtosis</p></li>
+<li><p><strong>histogram_and_quantiles</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable
+histogram_and_quantiles</p></li>
+</ul>
+</dd>
+</dl>
+<p>:ivar bias_correction : boolean option to enable/disable existence of bias
+:vartype bias_correction: BooleanOption
+:ivar num_zeros: boolean option to enable/disable num_zeros
+:vartype num_zeros: BooleanOption
+:ivar num_negatives: boolean option to enable/disable num_negatives
+:vartype num_negatives: BooleanOption
+:ivar is_numeric_stats_enabled: boolean to enable/disable all numeric</p>
+<blockquote>
+<div><p>stats</p>
+</div></blockquote>
+<dl class="field-list simple">
+</dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.IntOptions.is_numeric_stats_enabled">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_numeric_stats_enabled</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.IntOptions.is_numeric_stats_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the state of numeric stats being enabled / disabled.</p>
+<p>If any numeric stats property is enabled it will return True,
+otherwise it will return False.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>true if any numeric stats property is enabled, otherwise false</p>
+</dd>
+<dt class="field-even">Rtype bool</dt>
+<dd class="field-even"><p></p></dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.IntOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.IntOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.IntOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.IntOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.IntOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.IntOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Include is_enabled.</p>
+<p>is_enabled: Turns on or off the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.IntOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.IntOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.IntOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.IntOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.PrecisionOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">PrecisionOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_ratio</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.PrecisionOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BooleanOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.PrecisionOptions" title="dataprofiler.profilers.profiler_options.PrecisionOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">PrecisionOptions</span></code></a>]</p>
+<p>For configuring options for precision.</p>
+<p>Initialize Options for precision.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p></li>
+<li><p><strong>sample_ratio</strong> (<em>float</em>) – float option to determine ratio of valid
+float samples in determining percision.
+This ratio will override any defaults.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.PrecisionOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.PrecisionOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.PrecisionOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.PrecisionOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.PrecisionOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.PrecisionOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.PrecisionOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.PrecisionOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.FloatOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">FloatOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.FloatOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.NumericalOptions" title="dataprofiler.profilers.profiler_options.NumericalOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.NumericalOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.FloatOptions" title="dataprofiler.profilers.profiler_options.FloatOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">FloatOptions</span></code></a>]</p>
+<p>For configuring options for Float Column.</p>
+<p>Initialize Options for the Float Column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p></li>
+<li><p><strong>min</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable min</p></li>
+<li><p><strong>max</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable max</p></li>
+<li><p><strong>mode</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.ModeOption" title="dataprofiler.profilers.profiler_options.ModeOption"><em>ModeOption</em></a>) – option to enable/disable mode and set return count</p></li>
+<li><p><strong>median</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – option to enable/disable median</p></li>
+<li><p><strong>sum</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable sum</p></li>
+<li><p><strong>variance</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable variance</p></li>
+<li><p><strong>skewness</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable skewness</p></li>
+<li><p><strong>kurtosis</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable kurtosis</p></li>
+<li><p><strong>histogram_and_quantiles</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable
+histogram_and_quantiles</p></li>
+</ul>
+</dd>
+</dl>
+<p>:ivar bias_correction : boolean option to enable/disable existence of bias
+:vartype bias_correction: BooleanOption
+:ivar num_zeros: boolean option to enable/disable num_zeros
+:vartype num_zeros: BooleanOption
+:ivar num_negatives: boolean option to enable/disable num_negatives
+:vartype num_negatives: BooleanOption
+:ivar is_numeric_stats_enabled: boolean to enable/disable all numeric</p>
+<blockquote>
+<div><p>stats</p>
+</div></blockquote>
+<dl class="field-list simple">
+</dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.FloatOptions.is_numeric_stats_enabled">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_numeric_stats_enabled</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.FloatOptions.is_numeric_stats_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the state of numeric stats being enabled / disabled.</p>
+<p>If any numeric stats property is enabled it will return True,
+otherwise it will return False.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>true if any numeric stats property is enabled, otherwise false</p>
+</dd>
+<dt class="field-even">Rtype bool</dt>
+<dd class="field-even"><p></p></dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.FloatOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.FloatOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.FloatOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.FloatOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.FloatOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.FloatOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Include is_enabled.</p>
+<p>is_enabled: Turns on or off the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.FloatOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.FloatOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.FloatOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.FloatOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">TextOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.NumericalOptions" title="dataprofiler.profilers.profiler_options.NumericalOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.NumericalOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.TextOptions" title="dataprofiler.profilers.profiler_options.TextOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">TextOptions</span></code></a>]</p>
+<p>For configuring options for Text Column.</p>
+<p>Initialize Options for the Text Column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p></li>
+<li><p><strong>vocab</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable vocab</p></li>
+<li><p><strong>min</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable min</p></li>
+<li><p><strong>max</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable max</p></li>
+<li><p><strong>mode</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.ModeOption" title="dataprofiler.profilers.profiler_options.ModeOption"><em>ModeOption</em></a>) – option to enable/disable mode and set return count</p></li>
+<li><p><strong>median</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – option to enable/disable median</p></li>
+<li><p><strong>sum</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable sum</p></li>
+<li><p><strong>variance</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable variance</p></li>
+<li><p><strong>skewness</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable skewness</p></li>
+<li><p><strong>kurtosis</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable kurtosis</p></li>
+</ul>
+</dd>
+</dl>
+<p>:ivar bias_correction : boolean option to enable/disable existence of bias
+:vartype bias_correction: BooleanOption
+:ivar histogram_and_quantiles: boolean option to enable/disable</p>
+<blockquote>
+<div><p>histogram_and_quantiles</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_zeros</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable num_zeros</p></li>
+<li><p><strong>num_negatives</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable num_negatives</p></li>
+<li><p><strong>is_numeric_stats_enabled</strong> (<em>bool</em>) – boolean to enable/disable all numeric
+stats</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextOptions.is_numeric_stats_enabled">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_numeric_stats_enabled</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextOptions.is_numeric_stats_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the state of numeric stats being enabled / disabled.</p>
+<p>If any numeric stats property is enabled it will return True, otherwise
+it will return False. Although it seems redundant, this method is needed
+in order for the function below, the setter function
+also called is_numeric_stats_enabled, to properly work.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>true if any numeric stats property is enabled, otherwise false</p>
+</dd>
+<dt class="field-even">Rtype bool</dt>
+<dd class="field-even"><p></p></dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Include is_enabled.</p>
+<p>is_enabled: Turns on or off the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DateTimeOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">DateTimeOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DateTimeOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="dataprofiler.profilers.profiler_options.BaseInspectorOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.DateTimeOptions" title="dataprofiler.profilers.profiler_options.DateTimeOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">DateTimeOptions</span></code></a>]</p>
+<p>For configuring options for Datetime Column.</p>
+<p>Initialize Options for the Datetime Column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DateTimeOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DateTimeOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DateTimeOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DateTimeOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DateTimeOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DateTimeOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DateTimeOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DateTimeOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DateTimeOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DateTimeOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.OrderOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">OrderOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.OrderOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="dataprofiler.profilers.profiler_options.BaseInspectorOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.OrderOptions" title="dataprofiler.profilers.profiler_options.OrderOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">OrderOptions</span></code></a>]</p>
+<p>For configuring options for Order Column.</p>
+<p>Initialize options for the Order Column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.OrderOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.OrderOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.OrderOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.OrderOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.OrderOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.OrderOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.OrderOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.OrderOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.OrderOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.OrderOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CategoricalOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">CategoricalOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k_categories</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_sample_size_to_check_stop_condition</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop_condition_unique_value_ratio</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cms</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cms_confidence</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0.95</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cms_relative_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0.01</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cms_max_num_heavy_hitters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">5000</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CategoricalOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="dataprofiler.profilers.profiler_options.BaseInspectorOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.CategoricalOptions" title="dataprofiler.profilers.profiler_options.CategoricalOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">CategoricalOptions</span></code></a>]</p>
+<p>For configuring options Categorical Column.</p>
+<p>Initialize options for the Categorical Column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p></li>
+<li><p><strong>top_k_categories</strong> (<em>[</em><em>None</em><em>, </em><em>int</em><em>]</em>) – number of categories to be displayed when called</p></li>
+<li><p><strong>max_sample_size_to_check_stop_condition</strong> (<em>[</em><em>None</em><em>, </em><em>int</em><em>]</em>) – The maximum sample size
+before categorical stop conditions are checked</p></li>
+<li><p><strong>stop_condition_unique_value_ratio</strong> (<em>[</em><em>None</em><em>, </em><em>float</em><em>]</em>) – The highest ratio of unique
+values to dataset size that is to be considered a categorical type</p></li>
+<li><p><strong>cms</strong> (<em>bool</em>) – boolean option for using count min sketch</p></li>
+<li><p><strong>cms_confidence</strong> (<em>[</em><em>None</em><em>, </em><em>float</em><em>]</em>) – defines the number of hashes used in CMS.
+eg. confidence = 1 - failure probability, default 0.95</p></li>
+<li><p><strong>cms_relative_error</strong> (<em>[</em><em>None</em><em>, </em><em>float</em><em>]</em>) – defines the number of buckets used in CMS,
+default 0.01</p></li>
+<li><p><strong>cms_max_num_heavy_hitters</strong> – value used to define</p></li>
+</ul>
+</dd>
+</dl>
+<p>the threshold for minimum frequency required by a category to be counted
+:vartype cms_max_num_heavy_hitters: [None, int]</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CategoricalOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CategoricalOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CategoricalOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CategoricalOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CategoricalOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CategoricalOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CategoricalOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CategoricalOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CategoricalOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CategoricalOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CorrelationOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">CorrelationOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CorrelationOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="dataprofiler.profilers.profiler_options.BaseInspectorOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.CorrelationOptions" title="dataprofiler.profilers.profiler_options.CorrelationOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">CorrelationOptions</span></code></a>]</p>
+<p>For configuring options for Correlation between Columns.</p>
+<p>Initialize options for the Correlation between Columns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable.</p></li>
+<li><p><strong>columns</strong> (<em>list</em><em>(</em><em>)</em>) – Columns considered to calculate correlation</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CorrelationOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CorrelationOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CorrelationOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CorrelationOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CorrelationOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CorrelationOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CorrelationOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CorrelationOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CorrelationOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CorrelationOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HyperLogLogOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">HyperLogLogOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">register_count</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">15</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HyperLogLogOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.HyperLogLogOptions" title="dataprofiler.profilers.profiler_options.HyperLogLogOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">HyperLogLogOptions</span></code></a>]</p>
+<p>Options for alternative method of gathering unique row count.</p>
+<p>Initialize options for the hyperloglog method of gathering unique row count.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable.</p></li>
+<li><p><strong>seed</strong> (<em>int</em>) – seed used to set HLL hashing function</p></li>
+<li><p><strong>register_count</strong> (<em>int</em>) – number of registers is equal to 2^register_count</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HyperLogLogOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HyperLogLogOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HyperLogLogOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HyperLogLogOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HyperLogLogOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HyperLogLogOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HyperLogLogOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HyperLogLogOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UniqueCountOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">UniqueCountOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hashing_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'full'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UniqueCountOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BooleanOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.UniqueCountOptions" title="dataprofiler.profilers.profiler_options.UniqueCountOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">UniqueCountOptions</span></code></a>]</p>
+<p>For configuring options for unique row count.</p>
+<p>Initialize options for unique row counts.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable.</p></li>
+<li><p><strong>hashing_method</strong> (<em>str</em>) – property to specify row hashing method (“full” | “hll”)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UniqueCountOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UniqueCountOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UniqueCountOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UniqueCountOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UniqueCountOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UniqueCountOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UniqueCountOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UniqueCountOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.RowStatisticsOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">RowStatisticsOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unique_count</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">null_count</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.RowStatisticsOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BooleanOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.RowStatisticsOptions" title="dataprofiler.profilers.profiler_options.RowStatisticsOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">RowStatisticsOptions</span></code></a>]</p>
+<p>For configuring options for row statistics.</p>
+<p>Initialize options for row statistics.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable.</p></li>
+<li><p><strong>unique_count</strong> (<em>bool</em>) – boolean option to enable/disable unique_count</p></li>
+</ul>
+</dd>
+</dl>
+<p>ivar null_count: boolean option to enable/disable null_count
+:vartype null_count: bool</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.RowStatisticsOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.RowStatisticsOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.RowStatisticsOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.RowStatisticsOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.RowStatisticsOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.RowStatisticsOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.RowStatisticsOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.RowStatisticsOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DataLabelerOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">DataLabelerOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="dataprofiler.profilers.profiler_options.BaseInspectorOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataLabelerOptions</span></code></a>]</p>
+<p>For configuring options for Data Labeler Column.</p>
+<p>Initialize options for the Data Labeler Column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p></li>
+<li><p><strong>data_labeler_dirpath</strong> (<em>str</em>) – String to load data labeler</p></li>
+<li><p><strong>max_sample_size</strong> (<a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><em>BaseDataLabeler</em></a>) – Int to decide sample size</p></li>
+<li><p><strong>data_labeler_object</strong> – DataLabeler object used in profiler</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DataLabelerOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DataLabelerOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions"><span class="pre">DataLabelerOptions</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions">DataLabelerOptions</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DataLabelerOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DataLabelerOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DataLabelerOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextProfilerOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">TextProfilerOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_case_sensitive</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop_words</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k_chars</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k_words</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="dataprofiler.profilers.profiler_options.BaseInspectorOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions" title="dataprofiler.profilers.profiler_options.TextProfilerOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">TextProfilerOptions</span></code></a>]</p>
+<p>For configuring options for text profiler.</p>
+<p>Construct the TextProfilerOption object with default values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the option.</p></li>
+<li><p><strong>is_case_sensitive</strong> (<em>bool</em>) – option set for case sensitivity.</p></li>
+<li><p><strong>stop_words</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>list</em><em>(</em><em>str</em><em>)</em><em>]</em>) – option set for stop words.</p></li>
+<li><p><strong>top_k_chars</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>int</em><em>]</em>) – option set for number of top common characters.</p></li>
+<li><p><strong>top_k_words</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>int</em><em>]</em>) – option set for number of top common words.</p></li>
+<li><p><strong>words</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – option set for word update.</p></li>
+<li><p><strong>vocab</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – option set for vocab update.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextProfilerOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextProfilerOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextProfilerOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextProfilerOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextProfilerOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.StructuredOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">StructuredOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">null_values</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">re.RegexFlag</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column_null_values</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">re.RegexFlag</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling_ratio</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0.2</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.StructuredOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">StructuredOptions</span></code></a>]</p>
+<p>For configuring options for structured profiler.</p>
+<p>Construct the StructuredOptions object with default values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>null_values</strong> – null values we input.</p></li>
+<li><p><strong>column_null_values</strong> – column level null values we input.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Variables</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>int</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.IntOptions" title="dataprofiler.profilers.profiler_options.IntOptions"><em>IntOptions</em></a>) – option set for int profiling.</p></li>
+<li><p><strong>float</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.FloatOptions" title="dataprofiler.profilers.profiler_options.FloatOptions"><em>FloatOptions</em></a>) – option set for float profiling.</p></li>
+<li><p><strong>datetime</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.DateTimeOptions" title="dataprofiler.profilers.profiler_options.DateTimeOptions"><em>DateTimeOptions</em></a>) – option set for datetime profiling.</p></li>
+<li><p><strong>text</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.TextOptions" title="dataprofiler.profilers.profiler_options.TextOptions"><em>TextOptions</em></a>) – option set for text profiling.</p></li>
+<li><p><strong>order</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.OrderOptions" title="dataprofiler.profilers.profiler_options.OrderOptions"><em>OrderOptions</em></a>) – option set for order profiling.</p></li>
+<li><p><strong>category</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.CategoricalOptions" title="dataprofiler.profilers.profiler_options.CategoricalOptions"><em>CategoricalOptions</em></a>) – option set for category profiling.</p></li>
+<li><p><strong>data_labeler</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions"><em>DataLabelerOptions</em></a>) – option set for data_labeler profiling.</p></li>
+<li><p><strong>correlation</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.CorrelationOptions" title="dataprofiler.profilers.profiler_options.CorrelationOptions"><em>CorrelationOptions</em></a>) – option set for correlation profiling.</p></li>
+<li><p><strong>chi2_homogeneity</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a><em>(</em><em>)</em>) – option set for chi2_homogeneity matrix</p></li>
+<li><p><strong>row_statistics</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a><em>(</em><em>)</em>) – option set for row statistics calculations</p></li>
+<li><p><strong>null_replication_metrics</strong> (<em>BooleanOptions</em>) – option set for metrics
+calculation for replicating nan vals</p></li>
+<li><p><strong>null_values</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>dict</em><em>]</em>) – option set for defined null values</p></li>
+<li><p><strong>sampling_ratio</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>float</em><em>]</em>) – What ratio of the input data to sample.
+Float value &gt; 0 and &lt;= 1</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.StructuredOptions.enabled_profiles">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">enabled_profiles</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.StructuredOptions.enabled_profiles" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a list of the enabled profilers for columns.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.StructuredOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.StructuredOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.StructuredOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.StructuredOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.StructuredOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.StructuredOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.StructuredOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.StructuredOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UnstructuredOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">UnstructuredOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions" title="dataprofiler.profilers.profiler_options.UnstructuredOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">UnstructuredOptions</span></code></a>]</p>
+<p>For configuring options for unstructured profiler.</p>
+<p>Construct the UnstructuredOptions object with default values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>text</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions" title="dataprofiler.profilers.profiler_options.TextProfilerOptions"><em>TextProfilerOptions</em></a>) – option set for text profiling.</p></li>
+<li><p><strong>data_labeler</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions"><em>DataLabelerOptions</em></a>) – option set for data_labeler profiling.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UnstructuredOptions.enabled_profiles">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">enabled_profiles</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions.enabled_profiles" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a list of the enabled profilers.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UnstructuredOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UnstructuredOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UnstructuredOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UnstructuredOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ProfilerOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">ProfilerOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">presets</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ProfilerOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.ProfilerOptions" title="dataprofiler.profilers.profiler_options.ProfilerOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">ProfilerOptions</span></code></a>]</p>
+<p>For configuring options for profiler.</p>
+<p>Initialize the ProfilerOptions object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>structured_options</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><em>StructuredOptions</em></a>) – option set for structured dataset profiling.</p></li>
+<li><p><strong>unstructured_options</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions" title="dataprofiler.profilers.profiler_options.UnstructuredOptions"><em>UnstructuredOptions</em></a>) – option set for unstructured dataset profiling.</p></li>
+<li><p><strong>presets</strong> (<em>Optional</em><em>[</em><em>str</em><em>]</em>) – A pre-configured mapping of a string name to group of options:
+“complete”, “data_types”, “numeric_stats_disabled”,
+and “lower_memory_sketching”. Default: None</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ProfilerOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ProfilerOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ProfilerOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ProfilerOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ProfilerOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ProfilerOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ProfilerOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ProfilerOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Overwrite BaseOption.set.</p>
+<p>We do this because the type (unstructured/structured) may
+need to be specified if the same options exist within both
+self.structured_options and self.unstructured_options</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – Dictionary of options to set</p>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.profiler_utils.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Profiler Utils</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.profile_builder.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Profile Builder</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.profiler_options.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.profiler_utils.html b/docs/0.10.5/html/dataprofiler.profilers.profiler_utils.html
new file mode 100644
index 000000000..10d6eda37
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.profiler_utils.html
@@ -0,0 +1,825 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Text Column Profile" href="dataprofiler.profilers.text_column_profile.html" /><link rel="prev" title="Profiler Options" href="dataprofiler.profilers.profiler_options.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Profiler Utils - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.profiler_utils">
+<span id="profiler-utils"></span><h1>Profiler Utils<a class="headerlink" href="#module-dataprofiler.profilers.profiler_utils" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions for profilers.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.recursive_dict_update">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">recursive_dict_update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">update_d</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.recursive_dict_update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Recursive updates nested dictionaries. Updating d with update_d.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>d</strong> – dict which gets updated with update_d</p></li>
+<li><p><strong>update_d</strong> – dict to update d with</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">KeyDict</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">collections.defaultdict</span></code></p>
+<p>Helper class for sample_in_chunks.</p>
+<p>Allows keys that are missing to become the values for that key.
+From:
+<a class="reference external" href="https://www.drmaciver.com/2018/01/lazy-fisher-yates-shuffling-for-precise-rejection-sampling/">https://www.drmaciver.com/2018/01/lazy-fisher-yates-shuffling-for-precise-rejection-sampling/</a></p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.clear">
+<span class="sig-name descname"><span class="pre">clear</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None.</span>  <span class="pre">Remove</span> <span class="pre">all</span> <span class="pre">items</span> <span class="pre">from</span> <span class="pre">D.</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.clear" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.copy">
+<span class="sig-name descname"><span class="pre">copy</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">a</span> <span class="pre">shallow</span> <span class="pre">copy</span> <span class="pre">of</span> <span class="pre">D.</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.copy" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.default_factory">
+<span class="sig-name descname"><span class="pre">default_factory</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.default_factory" title="Permalink to this definition">¶</a></dt>
+<dd><p>Factory for default value called by __missing__().</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.fromkeys">
+<span class="sig-name descname"><span class="pre">fromkeys</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.fromkeys" title="Permalink to this definition">¶</a></dt>
+<dd><p>Create a new dictionary with keys from iterable and values set to value.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.get">
+<span class="sig-name descname"><span class="pre">get</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.get" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the value for key if key is in the dictionary, else default.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.items">
+<span class="sig-name descname"><span class="pre">items</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">a</span> <span class="pre">set-like</span> <span class="pre">object</span> <span class="pre">providing</span> <span class="pre">a</span> <span class="pre">view</span> <span class="pre">on</span> <span class="pre">D’s</span> <span class="pre">items</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.items" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.keys">
+<span class="sig-name descname"><span class="pre">keys</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">a</span> <span class="pre">set-like</span> <span class="pre">object</span> <span class="pre">providing</span> <span class="pre">a</span> <span class="pre">view</span> <span class="pre">on</span> <span class="pre">D’s</span> <span class="pre">keys</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.keys" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.pop">
+<span class="sig-name descname"><span class="pre">pop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">k</span></em><span class="optional">[</span>, <em class="sig-param"><span class="pre">d</span></em><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">v,</span> <span class="pre">remove</span> <span class="pre">specified</span> <span class="pre">key</span> <span class="pre">and</span> <span class="pre">return</span> <span class="pre">the</span> <span class="pre">corresponding</span> <span class="pre">value.</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.pop" title="Permalink to this definition">¶</a></dt>
+<dd><p>If key is not found, default is returned if given, otherwise KeyError is raised</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.popitem">
+<span class="sig-name descname"><span class="pre">popitem</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.popitem" title="Permalink to this definition">¶</a></dt>
+<dd><p>Remove and return a (key, value) pair as a 2-tuple.</p>
+<p>Pairs are returned in LIFO (last-in, first-out) order.
+Raises KeyError if the dict is empty.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.setdefault">
+<span class="sig-name descname"><span class="pre">setdefault</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.setdefault" title="Permalink to this definition">¶</a></dt>
+<dd><p>Insert key with a value of default if key is not in the dictionary.</p>
+<p>Return the value for key if key is in the dictionary, else default.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><span class="optional">[</span><em class="sig-param"><span class="pre">E</span></em>, <span class="optional">]</span><em class="sig-param"><span class="pre">**F</span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None.</span>  <span class="pre">Update</span> <span class="pre">D</span> <span class="pre">from</span> <span class="pre">dict/iterable</span> <span class="pre">E</span> <span class="pre">and</span> <span class="pre">F.</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>If E is present and has a .keys() method, then does:  for k in E: D[k] = E[k]
+If E is present and lacks a .keys() method, then does:  for k, v in E: D[k] = v
+In either case, this is followed by: for k in F:  D[k] = F[k]</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.values">
+<span class="sig-name descname"><span class="pre">values</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">an</span> <span class="pre">object</span> <span class="pre">providing</span> <span class="pre">a</span> <span class="pre">view</span> <span class="pre">on</span> <span class="pre">D’s</span> <span class="pre">values</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.values" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.shuffle_in_chunks">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">shuffle_in_chunks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_length</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.shuffle_in_chunks" title="Permalink to this definition">¶</a></dt>
+<dd><p>Create shuffled indexes in chunks.</p>
+<p>This reduces the cost of having to create all indexes,
+but only of that what is needed.
+Initial Code idea from:
+<a class="reference external" href="https://www.drmaciver.com/2018/01/lazy-fisher-yates-shuffling-for-precise-rejection-sampling/">https://www.drmaciver.com/2018/01/lazy-fisher-yates-shuffling-for-precise-rejection-sampling/</a></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_length</strong> – length of data to be shuffled</p></li>
+<li><p><strong>chunk_size</strong> – size of shuffled chunks</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of shuffled indices of chunk size</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.warn_on_profile">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">warn_on_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">e</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Exception</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.warn_on_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a warning if a given profile errors (tensorflow typically).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>col_profile</strong> (<em>str</em>) – Name of the column profile</p></li>
+<li><p><strong>e</strong> (<em>Exception</em>) – Error message from profiler error</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.partition">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">partition</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.partition" title="Permalink to this definition">¶</a></dt>
+<dd><p>Create a generator which returns data in specified chunk size.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>list</em><em>, </em><em>dataframe</em><em>, </em><em>etc</em>) – list, dataframe, etc</p></li>
+<li><p><strong>chunk_size</strong> (<em>int</em>) – size of partition to return</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.auto_multiprocess_toggle">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">auto_multiprocess_toggle</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.frame.DataFrame</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_rows_threshold</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">750000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_cols_threshold</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">20</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.auto_multiprocess_toggle" title="Permalink to this definition">¶</a></dt>
+<dd><p>Automate multiprocessing toggle depending on dataset sizes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>pandas.DataFrame</em>) – a dataset</p></li>
+<li><p><strong>num_rows_threshold</strong> (<em>int</em>) – threshold for number of rows to
+use multiprocess</p></li>
+<li><p><strong>num_cols_threshold</strong> (<em>int</em>) – threshold for number of columns
+to use multiprocess</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>recommended option.multiprocess.is_enabled value</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.suggest_pool_size">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">suggest_pool_size</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.suggest_pool_size" title="Permalink to this definition">¶</a></dt>
+<dd><p>Suggest the pool size based on resources.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_size</strong> (<em>int</em>) – size of the dataset</p></li>
+<li><p><strong>cols</strong> (<em>int</em>) – columns of the dataset</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return suggested_pool_size</dt>
+<dd class="field-even"><p>suggested pool size</p>
+</dd>
+<dt class="field-odd">Rtype suggested_pool_size</dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.generate_pool">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">generate_pool</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_pool_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Pool</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.generate_pool" title="Permalink to this definition">¶</a></dt>
+<dd><p>Generate a multiprocessing pool to allocate functions too.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>max_pool_size</strong> (<em>Union</em><em>[</em><em>int</em><em>, </em><em>None</em><em>]</em>) – Max number of processes assigned to the pool</p></li>
+<li><p><strong>data_size</strong> (<em>int</em>) – size of the dataset</p></li>
+<li><p><strong>cols</strong> (<em>int</em>) – columns of the dataset</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return pool</dt>
+<dd class="field-even"><p>Multiprocessing pool to allocate processes to</p>
+</dd>
+<dt class="field-odd">Rtype pool</dt>
+<dd class="field-odd"><p>Multiproessing.Pool</p>
+</dd>
+<dt class="field-even">Return cpu_count</dt>
+<dd class="field-even"><p>Number of processes (cpu bound) to utilize</p>
+</dd>
+<dt class="field-odd">Rtype cpu_count</dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.overlap">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">overlap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.overlap" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True iff [x1:x2] overlaps with [y1:y2].</p>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.add_nested_dictionaries">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">add_nested_dictionaries</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">first_dict</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">second_dict</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.add_nested_dictionaries" title="Permalink to this definition">¶</a></dt>
+<dd><p>Merge two dictionaries together and add values together.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>first_dict</strong> (<em>dict</em>) – dictionary to be merged</p></li>
+<li><p><strong>second_dict</strong> (<em>dict</em>) – dictionary to be merged</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>merged dictionary</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.biased_skew">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">biased_skew</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">numpy.float64</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.biased_skew" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate the biased estimator for skewness of the given data.</p>
+<dl class="simple">
+<dt>The definition is formalized as g_1 here:</dt><dd><p><a class="reference external" href="https://en.wikipedia.org/wiki/Skewness#Sample_skewness">https://en.wikipedia.org/wiki/Skewness#Sample_skewness</a></p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas Series</em>) – data to get skewness of, assuming floats</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>biased skewness</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>np.float64</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.biased_kurt">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">biased_kurt</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">numpy.float64</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.biased_kurt" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate the biased estimator for kurtosis of the given data.</p>
+<dl class="simple">
+<dt>The definition is formalized as g_2 here:</dt><dd><p><a class="reference external" href="https://en.wikipedia.org/wiki/Kurtosis#A_natural_but_biased_estimator">https://en.wikipedia.org/wiki/Kurtosis#A_natural_but_biased_estimator</a></p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas Series</em>) – data to get kurtosis of, assuming floats</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>biased kurtosis</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>np.float64</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.Subtractable">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">Subtractable</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.Subtractable" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Protocol</span></code></p>
+<p>Protocol for annotating subtractable types.</p>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.find_diff_of_numbers">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_numbers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">stat1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.float64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.int64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stat2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.float64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.int64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.find_diff_of_numbers" title="Permalink to this definition">¶</a></dt>
+<dt class="sig sig-object py">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_numbers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">stat1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">T</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stat2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">T</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span></dt>
+<dd><p>Find the difference between two stats.</p>
+<p>If there is no difference, return “unchanged”.
+For ints/floats, returns stat1 - stat2.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>stat1</strong> (<em>Union</em><em>[</em><em>int</em><em>, </em><em>float</em><em>, </em><em>np.float64</em><em>, </em><em>np.int64</em><em>, </em><em>None</em><em>]</em>) – the first statistical input</p></li>
+<li><p><strong>stat2</strong> (<em>Union</em><em>[</em><em>int</em><em>, </em><em>float</em><em>, </em><em>np.float64</em><em>, </em><em>np.int64</em><em>, </em><em>None</em><em>]</em>) – the second statistical input</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the difference of the stats</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.find_diff_of_strings_and_bools">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_strings_and_bools</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">stat1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">bool</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stat2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">bool</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">bool</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.find_diff_of_strings_and_bools" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between two stats.</p>
+<p>If there is no difference, return “unchanged”.
+For strings and bools, return list containing [stat1, stat2].</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>stat1</strong> (<em>Union</em><em>[</em><em>str</em><em>, </em><em>bool</em><em>]</em>) – the first statistical input</p></li>
+<li><p><strong>stat2</strong> (<em>Union</em><em>[</em><em>str</em><em>, </em><em>bool</em><em>]</em>) – the second statistical input</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the difference of the stats</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.find_diff_of_lists_and_sets">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_lists_and_sets</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">stat1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">set</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stat2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">set</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">set</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.find_diff_of_lists_and_sets" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between two stats.</p>
+<p>If there is no difference, return
+“unchanged”. Remove duplicates and returns [unique values of stat1,
+shared values, unique values of stat2].</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>stat1</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>set</em><em>]</em>) – the first statistical input</p></li>
+<li><p><strong>stat2</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>set</em><em>]</em>) – the second statistical input</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the difference of the stats</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.find_diff_of_dates">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_dates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">stat1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">datetime.datetime</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stat2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">datetime.datetime</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.find_diff_of_dates" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between two dates.</p>
+<p>If there is no difference, return
+“unchanged”. For dates, return the difference in time.</p>
+<p>Because only days can be stored as negative values internally
+for timedelta objects, the output for these negative values is
+less readable due to the combination of signs in the default
+output. This returns a readable output for timedelta that
+accounts for potential negative differences.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>stat1</strong> (<em>datetime.datetime object</em>) – the first statistical input</p></li>
+<li><p><strong>stat2</strong> (<em>datetime.datetime object</em>) – the second statistical input</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference in stats</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Union[List, str]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.find_diff_of_dicts">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_dicts</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dict1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dict2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.find_diff_of_dicts" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between two dicts.</p>
+<p>For each key in each dict,
+return “unchanged” if there’s no difference, otherwise return
+the difference. Assume that if the two dictionaries share the
+same key, their values are the same type.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dict1</strong> (<em>dict</em>) – the first dict</p></li>
+<li><p><strong>dict2</strong> (<em>dict</em>) – the second dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Difference in the keys of each dict</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.find_diff_of_matrices">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_matrices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">matrix1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">matrix2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.find_diff_of_matrices" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between two matrices.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>matrix1</strong> (<em>list</em><em>(</em><em>list</em><em>(</em><em>float</em><em>)</em><em>)</em>) – the first matrix</p></li>
+<li><p><strong>matrix2</strong> (<em>list</em><em>(</em><em>list</em><em>(</em><em>float</em><em>)</em><em>)</em>) – the second matrix</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Difference in the matrix</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(list(float))</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.find_diff_of_dicts_with_diff_keys">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_dicts_with_diff_keys</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dict1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dict2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.find_diff_of_dicts_with_diff_keys" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between two dicts.</p>
+<p>For each key in each dict,
+return “unchanged” if there’s no difference, otherwise return
+the difference. Assume that if the two dictionaries share the
+same key, their values are the same type.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dict1</strong> (<em>dict</em>) – the first dict</p></li>
+<li><p><strong>dict2</strong> (<em>dict</em>) – the second dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Difference in the keys of each dict</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.get_memory_size">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">get_memory_size</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">DataFrame</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unit</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'M'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.get_memory_size" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get memory size of the input data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>numpy.array</em><em>, </em><em>pandas.DataFrame</em><em>]</em>) – list or array of data</p></li>
+<li><p><strong>unit</strong> (<em>string</em>) – memory size unit (B, K, M, or G)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>memory size of the input data</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.method_timeit">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">method_timeit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Callable</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Callable</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.method_timeit" title="Permalink to this definition">¶</a></dt>
+<dd><p>Measure execution time of provided method.</p>
+<p>Record time into times dictionary.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>method</strong> (<em>Callable</em>) – method to time</p></li>
+<li><p><strong>name</strong> (<em>str</em>) – key argument for the times dictionary</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.perform_chi_squared_test_for_homogeneity">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">perform_chi_squared_test_for_homogeneity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">categories1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">categories2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.perform_chi_squared_test_for_homogeneity" title="Permalink to this definition">¶</a></dt>
+<dd><p>Perform a Chi Squared test for homogeneity between two groups.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>categories1</strong> (<em>dict</em>) – Categories and respective counts of the first group</p></li>
+<li><p><strong>sample_size1</strong> (<em>int</em>) – Number of samples in first group</p></li>
+<li><p><strong>categories2</strong> (<em>dict</em>) – Categories and respective counts of the second group</p></li>
+<li><p><strong>sample_size2</strong> (<em>int</em>) – Number of samples in second group</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Results of the chi squared test</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.chunk">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">chunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lst</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Iterator</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.chunk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Chunk things out.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lst</strong> (<em>list</em>) – List to chunk</p></li>
+<li><p><strong>size</strong> (<em>int</em>) – Size of each chunk</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Iterator that produces tuples of each chunk</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Iterator[Tuple]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.merge">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">merge</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">top_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">profile_builder.BaseProfiler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">profile_builder.BaseProfiler</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">profile_builder.BaseProfiler</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.merge" title="Permalink to this definition">¶</a></dt>
+<dd><p>Merge two Profiles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>top_profile</strong> (<em>Profile</em>) – First profile</p></li>
+<li><p><strong>other_profile</strong> (<em>Profile</em>) – Second profile</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Merge of two profile objects</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Profile</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.merge_profile_list">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">merge_profile_list</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">list_of_profiles</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">profile_builder.BaseProfiler</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool_count</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">profile_builder.BaseProfiler</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.merge_profile_list" title="Permalink to this definition">¶</a></dt>
+<dd><p>Merge list of profiles into a single profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>list_of_profiles</strong> (<em>list</em>) – Categories and respective counts of the second group</p></li>
+<li><p><strong>pool_count</strong> (<em>int</em>) – Number of samples in second group</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Single profile that is the merge of all profiles in the
+<cite>list_of_profiles</cite> list.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Profile</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.reload_labeler_from_options_or_get_new">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">reload_labeler_from_options_or_get_new</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_labeler_load_attr</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseDataLabeler</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.reload_labeler_from_options_or_get_new" title="Permalink to this definition">¶</a></dt>
+<dd><p>If required by the load_attr load a data labeler, but reuse from config if possible.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_labeler_load_attr</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>dict</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>dict</em><em>]</em>) – config for loading classes to reuse an existing labeler</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions">DataLabelerOptions</a></p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.text_column_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Text Column Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.profiler_options.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Profiler Options</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.profiler_utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.text_column_profile.html b/docs/0.10.5/html/dataprofiler.profilers.text_column_profile.html
new file mode 100644
index 000000000..d0ed0b990
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.text_column_profile.html
@@ -0,0 +1,588 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Unstructured Labeler Profile" href="dataprofiler.profilers.unstructured_labeler_profile.html" /><link rel="prev" title="Profiler Utils" href="dataprofiler.profilers.profiler_utils.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Text Column Profile - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.text_column_profile">
+<span id="text-column-profile"></span><h1>Text Column Profile<a class="headerlink" href="#module-dataprofiler.profilers.text_column_profile" title="Permalink to this headline">¶</a></h1>
+<p>Text profile analysis for individual col within structured profiling..</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.text_column_profile.</span></span><span class="sig-name descname"><span class="pre">TextColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">TextOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin" title="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.numerical_column_stats.NumericStatsMixin</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.text_column_profile.TextColumn" title="dataprofiler.profilers.text_column_profile.TextColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">TextColumn</span></code></a>], <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.text_column_profile.TextColumn" title="dataprofiler.profilers.text_column_profile.TextColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">TextColumn</span></code></a>]</p>
+<p>Text column profile subclass of BaseColumnProfiler.</p>
+<p>Represents a column in the dataset which is a text column.</p>
+<p>Initialize column base properties and itself.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>String</em>) – Name of the data</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions" title="dataprofiler.profilers.profiler_options.TextOptions"><em>TextOptions</em></a>) – Options for the Text column</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'text'</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Report profile attribute of class; potentially pop val from self.profile.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.text_column_profile.TextColumn" title="dataprofiler.profilers.text_column_profile.TextColumn"><span class="pre">dataprofiler.profilers.text_column_profile.TextColumn</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for text columns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<em>TextColumn Profile</em>) – profile to find the difference with</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the text columns differences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.data_type_ratio">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_type_ratio</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.data_type_ratio" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate the ratio of samples which match this data type.</p>
+<p>NOTE: all values can be considered string so always returns 1 in this
+case.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>ratio of data type</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.text_column_profile.TextColumn" title="dataprofiler.profilers.text_column_profile.TextColumn"><span class="pre">dataprofiler.profilers.text_column_profile.TextColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – df series</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated TextColumn</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.text_column_profile.TextColumn" title="dataprofiler.profilers.text_column_profile.TextColumn">TextColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.text_column_profile.TextColumn" title="dataprofiler.profilers.text_column_profile.TextColumn">TextColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.is_float">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_float</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.is_float" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is float.</p>
+<p>For “0.80” this function returns True
+For “1.00” this function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is float or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.is_int">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_int</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.is_int" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is integer.</p>
+<p>For “0.80” This function returns False
+For “1.00” This function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is integer or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.kurtosis">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">kurtosis</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.kurtosis" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return kurtosis value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.mean">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mean</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.mean" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mean value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.median">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.median" title="Permalink to this definition">¶</a></dt>
+<dd><p>Estimate the median of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the median</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.median_abs_deviation">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median_abs_deviation</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.median_abs_deviation" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get median absolute deviation estimated from the histogram of the data.</p>
+<blockquote>
+<div><p>Subtract bin edges from the median value
+Fold the histogram to positive and negative parts around zero
+Impose the two bin edges from the two histogram
+Calculate the counts for the two histograms with the imposed bin edges
+Superimpose the counts from the two histograms
+Interpolate the median absolute deviation from the superimposed counts</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>median absolute deviation</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.mode">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mode</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.mode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find an estimate for the mode[s] of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the mode(s) of the data</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>list(float)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.np_type_to_type">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">np_type_to_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">val</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.np_type_to_type" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert numpy variables to base python type variables.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>val</strong> (<em>numpy type</em><em> or </em><em>base type</em>) – value to check &amp; change</p>
+</dd>
+<dt class="field-even">Return val</dt>
+<dd class="field-even"><p>base python type</p>
+</dd>
+<dt class="field-odd">Rtype val</dt>
+<dd class="field-odd"><p>int or float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.skewness">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">skewness</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.skewness" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return skewness value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.stddev">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">stddev</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.stddev" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return stddev value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.variance">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variance</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.variance" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return variance.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.min">
+<span class="sig-name descname"><span class="pre">min</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.float64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.int64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.min" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.max">
+<span class="sig-name descname"><span class="pre">max</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.float64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.int64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.max" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.sum">
+<span class="sig-name descname"><span class="pre">sum</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.float64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.int64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.sum" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.max_histogram_bin">
+<span class="sig-name descname"><span class="pre">max_histogram_bin</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.max_histogram_bin" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.min_histogram_bin">
+<span class="sig-name descname"><span class="pre">min_histogram_bin</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.min_histogram_bin" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.histogram_bin_method_names">
+<span class="sig-name descname"><span class="pre">histogram_bin_method_names</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.histogram_bin_method_names" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.histogram_selection">
+<span class="sig-name descname"><span class="pre">histogram_selection</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.histogram_selection" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.user_set_histogram_bin">
+<span class="sig-name descname"><span class="pre">user_set_histogram_bin</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.user_set_histogram_bin" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.bias_correction">
+<span class="sig-name descname"><span class="pre">bias_correction</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.bias_correction" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.num_zeros">
+<span class="sig-name descname"><span class="pre">num_zeros</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.int64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.num_zeros" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.num_negatives">
+<span class="sig-name descname"><span class="pre">num_negatives</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.int64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.num_negatives" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.histogram_methods">
+<span class="sig-name descname"><span class="pre">histogram_methods</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.histogram_methods" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.quantiles">
+<span class="sig-name descname"><span class="pre">quantiles</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.quantiles" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.match_count">
+<span class="sig-name descname"><span class="pre">match_count</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.match_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.unstructured_labeler_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Unstructured Labeler Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.profiler_utils.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Profiler Utils</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.text_column_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.unstructured_labeler_profile.html b/docs/0.10.5/html/dataprofiler.profilers.unstructured_labeler_profile.html
new file mode 100644
index 000000000..9e853cb73
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.unstructured_labeler_profile.html
@@ -0,0 +1,348 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Unstructured Text Profile" href="dataprofiler.profilers.unstructured_text_profile.html" /><link rel="prev" title="Text Column Profile" href="dataprofiler.profilers.text_column_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Unstructured Labeler Profile - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.unstructured_labeler_profile">
+<span id="unstructured-labeler-profile"></span><h1>Unstructured Labeler Profile<a class="headerlink" href="#module-dataprofiler.profilers.unstructured_labeler_profile" title="Permalink to this headline">¶</a></h1>
+<p>Profile analysis for applying labels within unstructured profiling.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.unstructured_labeler_profile.</span></span><span class="sig-name descname"><span class="pre">UnstructuredLabelerProfile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_labeler_dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions"><span class="pre">dataprofiler.profilers.profiler_options.DataLabelerOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Profiles and labels unstructured data.</p>
+<p>Initialize of Data Label profiling for unstructured datasets.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_labeler_dirpath</strong> (<em>String</em>) – Directory path to the data labeler</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions"><em>DataLabelerOptions</em></a>) – Options for the data labeler column</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'data_labeler'</span></em><a class="headerlink" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return profile object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled options
+should be excluded in report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile" title="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile"><span class="pre">dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for two unstructured labeler profiles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile" title="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile"><em>UnstructuredLabelerProfile</em></a>) – profile to find the difference with</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options for diff output</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the difference between entity counts/percentages</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.label_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span></em><a class="headerlink" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.label_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return list of labels.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update profile.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a profile.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.unstructured_text_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Unstructured Text Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.text_column_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Text Column Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.unstructured_labeler_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.unstructured_text_profile.html b/docs/0.10.5/html/dataprofiler.profilers.unstructured_text_profile.html
new file mode 100644
index 000000000..0a52d766b
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.unstructured_text_profile.html
@@ -0,0 +1,356 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Labelers" href="dataprofiler.labelers.html" /><link rel="prev" title="Unstructured Labeler Profile" href="dataprofiler.profilers.unstructured_labeler_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Unstructured Text Profile - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.unstructured_text_profile">
+<span id="unstructured-text-profile"></span><h1>Unstructured Text Profile<a class="headerlink" href="#module-dataprofiler.profilers.unstructured_text_profile" title="Permalink to this headline">¶</a></h1>
+<p>For profiling unstructured text data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_text_profile.TextProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.unstructured_text_profile.</span></span><span class="sig-name descname"><span class="pre">TextProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">TextProfilerOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Profiles text data.</p>
+<p>Initialize TextProfiler object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>String</em>) – Name of the data</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextProfilerOptions" title="dataprofiler.profilers.profiler_options.TextProfilerOptions"><em>TextProfilerOptions</em></a>) – Options for the Text Profiler</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_text_profile.TextProfiler.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'text'</span></em><a class="headerlink" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_text_profile.TextProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler" title="dataprofiler.profilers.unstructured_text_profile.TextProfiler"><span class="pre">dataprofiler.profilers.unstructured_text_profile.TextProfiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for two unstructured text profiles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler" title="dataprofiler.profilers.unstructured_text_profile.TextProfiler"><em>TextProfiler</em></a>) – profile to find the difference with</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options for diff output</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the difference between profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_text_profile.TextProfiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Report profile attribute of class; potentially pop val from self.profile.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_text_profile.TextProfiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>profile of the column</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_text_profile.TextProfiler.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler" title="dataprofiler.profilers.unstructured_text_profile.TextProfiler"><span class="pre">dataprofiler.profilers.unstructured_text_profile.TextProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>pandas.core.series.Series</em>) – df series</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated TextProfiler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler" title="dataprofiler.profilers.unstructured_text_profile.TextProfiler">TextProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Labelers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.unstructured_labeler_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Unstructured Labeler Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.unstructured_text_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.profilers.utils.html b/docs/0.10.5/html/dataprofiler.profilers.utils.html
new file mode 100644
index 000000000..cdccfda91
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.profilers.utils.html
@@ -0,0 +1,265 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Utils - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="utils">
+<h1>Utils<a class="headerlink" href="#utils" title="Permalink to this headline">¶</a></h1>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.reports.graphs.html b/docs/0.10.5/html/dataprofiler.reports.graphs.html
new file mode 100644
index 000000000..5cad9e329
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.reports.graphs.html
@@ -0,0 +1,266 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Graphs - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.reports.graphs">
+<span id="graphs"></span><h1>Graphs<a class="headerlink" href="#module-dataprofiler.reports.graphs" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions for generating graph data report.</p>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.reports.graphs.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.reports.html b/docs/0.10.5/html/dataprofiler.reports.html
new file mode 100644
index 000000000..fd514fe96
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.reports.html
@@ -0,0 +1,298 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Reports - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="reports">
+<h1>Reports<a class="headerlink" href="#reports" title="Permalink to this headline">¶</a></h1>
+<section id="modules">
+<h2>Modules<a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.reports.graphs.html">Graphs</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.reports.utils.html">Utils</a></li>
+</ul>
+</div>
+<span class="target" id="module-dataprofiler.reports"></span><p>Package for generating reports.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.reports.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Reports</a><ul>
+<li><a class="reference internal" href="#modules">Modules</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.reports.utils.html b/docs/0.10.5/html/dataprofiler.reports.utils.html
new file mode 100644
index 000000000..228993cef
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.reports.utils.html
@@ -0,0 +1,291 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Utils - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.reports.utils">
+<span id="utils"></span><h1>Utils<a class="headerlink" href="#module-dataprofiler.reports.utils" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions for checking for installations/dependencies.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.reports.utils.warn_missing_module">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.reports.utils.</span></span><span class="sig-name descname"><span class="pre">warn_missing_module</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">graph_func</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">module_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.reports.utils.warn_missing_module" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a warning if a given graph module doesn’t exist.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>graph_func</strong> (<em>str</em>) – Name of the graphing function</p></li>
+<li><p><strong>module_name</strong> (<em>str</em>) – module name that was missing</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.reports.utils.require_module">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.reports.utils.</span></span><span class="sig-name descname"><span class="pre">require_module</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">names</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">dataprofiler.reports.utils.F</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">dataprofiler.reports.utils.F</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.reports.utils.require_module" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check if a set of modules exists in sys.modules prior to running function.</p>
+<p>If they do not, give a user a warning and do not run the
+function.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>names</strong> (<em>list</em><em>[</em><em>str</em><em>]</em>) – list of module names to check for in sys.modules</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.reports.utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.rng_utils.html b/docs/0.10.5/html/dataprofiler.rng_utils.html
new file mode 100644
index 000000000..c75842355
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.rng_utils.html
@@ -0,0 +1,271 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Rng Utils - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.rng_utils">
+<span id="rng-utils"></span><h1>Rng Utils<a class="headerlink" href="#module-dataprofiler.rng_utils" title="Permalink to this headline">¶</a></h1>
+<p>Create a random number generator using a manual seed DATAPROFILER_SEED.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.rng_utils.get_random_number_generator">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.rng_utils.</span></span><span class="sig-name descname"><span class="pre">get_random_number_generator</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">numpy.random._generator.Generator</span></span></span><a class="headerlink" href="#dataprofiler.rng_utils.get_random_number_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Create a random number generator using a manual seed DATAPROFILER_SEED.</p>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.rng_utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.settings.html b/docs/0.10.5/html/dataprofiler.settings.html
new file mode 100644
index 000000000..c85759935
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.settings.html
@@ -0,0 +1,266 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Settings - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.settings">
+<span id="settings"></span><h1>Settings<a class="headerlink" href="#module-dataprofiler.settings" title="Permalink to this headline">¶</a></h1>
+<p>Configure settings for dataprofiler.</p>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.settings.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.validators.base_validators.html b/docs/0.10.5/html/dataprofiler.validators.base_validators.html
new file mode 100644
index 000000000..59b5fe8fe
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.validators.base_validators.html
@@ -0,0 +1,362 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Roadmap" href="roadmap.html" /><link rel="prev" title="Validators" href="dataprofiler.validators.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Base Validators - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.validators.base_validators">
+<span id="base-validators"></span><h1>Base Validators<a class="headerlink" href="#module-dataprofiler.validators.base_validators" title="Permalink to this headline">¶</a></h1>
+<p>Build model for dataset by identifying col type along with its respective params.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.validators.base_validators.is_in_range">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.validators.base_validators.</span></span><span class="sig-name descname"><span class="pre">is_in_range</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.validators.base_validators.is_in_range" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see x is in the range of the config.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x</strong> (<em>int/float</em>) – number</p></li>
+<li><p><strong>config</strong> (<em>dict</em>) – configuration</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.validators.base_validators.is_in_list">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.validators.base_validators.</span></span><span class="sig-name descname"><span class="pre">is_in_list</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.validators.base_validators.is_in_list" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see x is in the config list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x</strong> (<em>string</em>) – item</p></li>
+<li><p><strong>config</strong> (<em>dict</em>) – configuration</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.validators.base_validators.Validator">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.validators.base_validators.</span></span><span class="sig-name descname"><span class="pre">Validator</span></span><a class="headerlink" href="#dataprofiler.validators.base_validators.Validator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>For validating a data set.</p>
+<p>Initialize Validator object.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.validators.base_validators.Validator.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pd.DataFrame</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dd.DataFrame</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.validators.base_validators.Validator.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate a data set.</p>
+<p>No option for validating a partial data set.</p>
+<p>Set configuration on run not on instantiation of the class such that
+you have the option to run multiple times with different configurations
+without having to also reinstantiate the class.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataFrame Dask/Pandas</em>) – The data to be processed by the validator. Processing
+occurs in a column-wise fashion.</p></li>
+<li><p><strong>config</strong> (<em>dict</em>) – configuration for how the validator should
+run across the given data. Validator will only run over columns
+specified in the configuration.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Example</dt>
+<dd class="field-even"><p>This is an example of the config:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">config</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="o">&lt;</span><span class="n">column_name</span><span class="o">&gt;</span><span class="p">:</span> <span class="p">{</span>
+                <span class="nb">range</span><span class="p">:</span> <span class="p">{</span>
+                    <span class="s1">'start'</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+                    <span class="s1">'end'</span><span class="p">:</span><span class="mi">2</span>
+                <span class="p">},</span>
+                <span class="nb">list</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">]</span>
+            <span class="p">}</span>
+        <span class="p">}</span>
+</pre></div>
+</div>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.validators.base_validators.Validator.get">
+<span class="sig-name descname"><span class="pre">get</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.validators.base_validators.Validator.get" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get the results of the validation run.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="roadmap.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Roadmap</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.validators.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Validators</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.validators.base_validators.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.validators.html b/docs/0.10.5/html/dataprofiler.validators.html
new file mode 100644
index 000000000..ee3d0251c
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.validators.html
@@ -0,0 +1,315 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Base Validators" href="dataprofiler.validators.base_validators.html" /><link rel="prev" title="Utils" href="dataprofiler.labelers.utils.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Validators - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children current-page"><a class="current reference internal" href="#">Validators</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="validators">
+<h1>Validators<a class="headerlink" href="#validators" title="Permalink to this headline">¶</a></h1>
+<section id="modules">
+<h2>Modules<a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</div>
+<span class="target" id="module-dataprofiler.validators"></span><p>Package for identifying cols.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.validators.base_validators.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Base Validators</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.utils.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Utils</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.validators.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Validators</a><ul>
+<li><a class="reference internal" href="#modules">Modules</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/dataprofiler.version.html b/docs/0.10.5/html/dataprofiler.version.html
new file mode 100644
index 000000000..d7794adef
--- /dev/null
+++ b/docs/0.10.5/html/dataprofiler.version.html
@@ -0,0 +1,266 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Version - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.version">
+<span id="version"></span><h1>Version<a class="headerlink" href="#module-dataprofiler.version" title="Permalink to this headline">¶</a></h1>
+<p>File contains the version number for the package.</p>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.version.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/examples.html b/docs/0.10.5/html/examples.html
new file mode 100644
index 000000000..48377e8c1
--- /dev/null
+++ b/docs/0.10.5/html/examples.html
@@ -0,0 +1,427 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data Profiler - What’s in your data?" href="overview.html" /><link rel="prev" title="Graphs" href="graphs.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Examples - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children current-page"><a class="current reference internal" href="#">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="examples">
+<span id="id1"></span><h1>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">¶</a></h1>
+<p>These examples provide a more in-depth look into the details of the <code class="docutils literal notranslate"><span class="pre">Data</span> <span class="pre">Profiler</span></code> library.</p>
+<section id="basics">
+<h2>Basics<a class="headerlink" href="#basics" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="overview.html">Overview of Data Profiler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html#Basic-Usage-of-the-Data-Profiler">Basic Usage of the Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="overview.html#Data-reader-class">Data reader class</a></li>
+<li class="toctree-l2"><a class="reference internal" href="overview.html#Structured-Profiler-vs. Unstructured-Profiler">Structured Profiler vs. Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="overview.html#Profiler-options">Profiler options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="overview.html#Update-profiles">Update profiles</a></li>
+<li class="toctree-l2"><a class="reference internal" href="overview.html#Merge-profiles">Merge profiles</a></li>
+<li class="toctree-l2"><a class="reference internal" href="overview.html#Conclusion">Conclusion</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="data_reader.html">Data Reader</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Automatically-reading-and-detecting-data">Automatically reading and detecting data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Specifying-detection-options-of-Data-and-loading-pandas.DataFrame">Specifying detection options of <code class="docutils literal notranslate"><span class="pre">Data</span></code> and loading <code class="docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Accessing-data-and-attributes">Accessing data and attributes</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Checking-data-file-types-with-is_match">Checking data file types with <code class="docutils literal notranslate"><span class="pre">is_match</span></code></a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Reloading-data-after-altering-options-with-reload">Reloading data after altering options with <code class="docutils literal notranslate"><span class="pre">reload</span></code></a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#A-deeper-dive-into-CSVData">A deeper dive into <code class="docutils literal notranslate"><span class="pre">CSVData</span></code></a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Intro-to-the-CSVData-data-reader">Intro to the <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> data reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#CSVData-Options">CSVData Options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Options:-delimiter-and-quotechar">Options: delimiter and quotechar</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Options:-header">Options: header</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Options:-data_format">Options: data_format</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Options:-selected-columns">Options: selected columns</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Intro-to-GraphData-data-reader">Intro to <code class="docutils literal notranslate"><span class="pre">GraphData</span></code> data reader</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="profiler_example.html">Structured Profiler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Reporting">Reporting</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Profiler-Type">Profiler Type</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Profiler-options">Profiler options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Updating-Profiles">Updating Profiles</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Merging-Profiles">Merging Profiles</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Differences-in-Data">Differences in Data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Graphing-a-Profile">Graphing a Profile</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Saving-and-Loading-a-Profile">Saving and Loading a Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html#Reporting">Reporting</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html#Profiler-Type">Profiler Type</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html#Profiler-options">Profiler options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html#Updating-Profiles">Updating Profiles</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html#Merging-Profiles">Merging Profiles</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html#Differences-in-Data">Differences in Data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html#Saving-and-Loading-a-Profile">Saving and Loading a Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html#Profile">Profile</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html#Saving-and-Loading-a-Profile">Saving and Loading a Profile</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html#Difference-in-Data">Difference in Data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html#Conclusion">Conclusion</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="labeler.html">Labeler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html#What-is-the-Labeler">What is the Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html#Structured-Data-Prediction">Structured Data Prediction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html#Unstructured-Data-Prediction">Unstructured Data Prediction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html#Train-the-Labeler-from-Scratch">Train the Labeler from Scratch</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html#Transfer-Learning-a-Labeler">Transfer Learning a Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html#Saving-and-Loading-a-Labeler">Saving and Loading a Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html#Building-a-Labeler-from-the-Ground-Up">Building a Labeler from the Ground Up</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html#Dataset">Dataset</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html#Implement-a-new-character-level-LSTM-model">Implement a new character-level LSTM model</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html#Integrate-the-new-LSTM-model-to-the-DataLabeler">Integrate the new LSTM model to the DataLabeler</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html#Loading-and-using-the-pre-existing-regex-data-labeler">Loading and using the pre-existing regex data labeler</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="regex_labeler_from_scratch.html#Predicting-with-the-regex-labeler">Predicting with the regex labeler</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html#Replacing-the-regex-rules-in-the-existing-labeler">Replacing the regex rules in the existing labeler</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="regex_labeler_from_scratch.html#Predicting-with-the-new-regex-labels">Predicting with the new regex labels</a></li>
+<li class="toctree-l3"><a class="reference internal" href="regex_labeler_from_scratch.html#Adjusting-postprocessor-properties">Adjusting postprocessor properties</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html#Integrating-the-new-Regex-labeler-into-Structured-Profiling">Integrating the new Regex labeler into Structured Profiling</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="regex_labeler_from_scratch.html#Setting-the-Structuredprofiler’s-DataLabeler">Setting the Structuredprofiler’s DataLabeler</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html#Saving-the-Data-Labeler-for-future-use">Saving the Data Labeler for future use</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html#Loading-the-saved-Data-Labeler">Loading the saved Data Labeler</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html#Loading-and-predicting-using-a-pre-existing-model-using-load_from_library">Loading and predicting using a pre-existing model using <code class="docutils literal notranslate"><span class="pre">load_from_library</span></code></a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html#Loading-and-using-the-pre-existing-column-name-labeler-using-load_with_components">Loading and using the pre-existing column name labeler using <code class="docutils literal notranslate"><span class="pre">load_with_components</span></code></a><ul>
+<li class="toctree-l3"><a class="reference internal" href="column_name_labeler_example.html#Predicting-with-the-ColumnName-labeler">Predicting with the ColumnName labeler</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html#Replacing-the-parameters-in-the-existing-labeler">Replacing the parameters in the existing labeler</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="column_name_labeler_example.html#Predicting-with-the-new-labels">Predicting with the new labels</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html#Saving-the-Data-Labeler-for-future-use">Saving the Data Labeler for future use</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html#Loading-the-saved-Data-Labeler">Loading the saved Data Labeler</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html#Imports">Imports</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html#Setup-the-Data-and-Profiler">Setup the Data and Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html#Run-Merge-on-List-of-Profiles">Run Merge on List of Profiles</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html#How-to-Install-Popmon">How to Install Popmon</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html#Comparison-of-Dataloaders">Comparison of Dataloaders</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html#Popmon’s-usage-example-using-both-dataloaders">Popmon’s usage example using both dataloaders</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html#Examples-of-data">Examples of data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html#Dataprofiler’s-examples-using-both-dataloaders">Dataprofiler’s examples using both dataloaders</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html#Report-comparison">Report comparison</a></li>
+</ul>
+</li>
+</ul>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="overview.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data Profiler - What’s in your data?</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="graphs.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Graphs</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/examples.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Examples</a><ul>
+<li><a class="reference internal" href="#basics">Basics</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/genindex.html b/docs/0.10.5/html/genindex.html
new file mode 100644
index 000000000..55f39a49a
--- /dev/null
+++ b/docs/0.10.5/html/genindex.html
@@ -0,0 +1,3431 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><link rel="index" title="Index" href="#" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/><title>Index - Data Profiler v0.10.5</title>
+<link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<section class="genindex-section">
+  <h1 id="index">Index</h1>
+  <div class="genindex-jumpbox"><a href="#A"><strong>A</strong></a> | <a href="#B"><strong>B</strong></a> | <a href="#C"><strong>C</strong></a> | <a href="#D"><strong>D</strong></a> | <a href="#E"><strong>E</strong></a> | <a href="#F"><strong>F</strong></a> | <a href="#G"><strong>G</strong></a> | <a href="#H"><strong>H</strong></a> | <a href="#I"><strong>I</strong></a> | <a href="#J"><strong>J</strong></a> | <a href="#K"><strong>K</strong></a> | <a href="#L"><strong>L</strong></a> | <a href="#M"><strong>M</strong></a> | <a href="#N"><strong>N</strong></a> | <a href="#O"><strong>O</strong></a> | <a href="#P"><strong>P</strong></a> | <a href="#Q"><strong>Q</strong></a> | <a href="#R"><strong>R</strong></a> | <a href="#S"><strong>S</strong></a> | <a href="#T"><strong>T</strong></a> | <a href="#U"><strong>U</strong></a> | <a href="#V"><strong>V</strong></a> | <a href="#W"><strong>W</strong></a></div>
+</section>
+<section id="A" class="genindex-section">
+  <h2>A</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.abstractstaticmethod">abstractstaticmethod (class in dataprofiler.profilers.numerical_column_stats)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.activity_regularizer">activity_regularizer (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.activity_regularizer">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.add_label">add_label() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.add_label">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.add_label">(dataprofiler.labelers.base_model.BaseModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.add_label">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.add_label">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.add_label">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.add_label">(dataprofiler.labelers.column_name_model.ColumnNameModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.add_label">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.add_label">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.add_label">(dataprofiler.labelers.regex_model.RegexModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.add_loss">add_loss() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.add_loss">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.add_metric">add_metric() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.add_metric">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.add_nested_dictionaries">add_nested_dictionaries() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.add_update">add_update() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.add_update">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.add_variable">add_variable() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.add_variable">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.add_weight">add_weight() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.add_weight">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.assert_equal_conditions">assert_equal_conditions() (dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn static method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.auto_multiprocess_toggle">auto_multiprocess_toggle() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.AutoSubRegistrationMeta">AutoSubRegistrationMeta (class in dataprofiler.labelers.base_model)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.AutoSubRegistrationMeta">(class in dataprofiler.labelers.data_processing)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.avg_predictions">avg_predictions (dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData">AVROData (class in dataprofiler.data_readers.avro_data)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="B" class="genindex-section">
+  <h2>B</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler">BaseColumnPrimitiveTypeProfiler (class in dataprofiler.profilers.base_column_profilers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler">BaseColumnProfiler (class in dataprofiler.profilers.base_column_profilers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler (class in dataprofiler.profilers.column_profile_compilers)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData">BaseData (class in dataprofiler.data_readers.base_data)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler (class in dataprofiler.labelers.base_data_labeler)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor">BaseDataPostprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor">BaseDataPreprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor">BaseDataProcessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseInspectorOptions">BaseInspectorOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel">BaseModel (class in dataprofiler.labelers.base_model)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseOption">BaseOption (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler">BaseProfiler (class in dataprofiler.profilers.profile_builder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel">BaseTrainableModel (class in dataprofiler.labelers.base_model)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.bias_correction">bias_correction (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.biased_kurt">biased_kurt() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.biased_skew">biased_skew() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BooleanOption">BooleanOption (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.build">build() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.build">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.build_embd_dictionary">build_embd_dictionary() (in module dataprofiler.labelers.character_level_cnn_model)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.build_from_config">build_from_config() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.build_from_config">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="C" class="genindex-section">
+  <h2>C</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.helpers.html#dataprofiler.profilers.helpers.calculate_quantiles">calculate_quantiles() (in module dataprofiler.profilers.helpers)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.helpers.report_helpers.html#dataprofiler.profilers.helpers.report_helpers.calculate_quantiles">(in module dataprofiler.profilers.helpers.report_helpers)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.call">call() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.call">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.categorical_counts">categorical_counts (dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn">CategoricalColumn (class in dataprofiler.profilers.categorical_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CategoricalOptions">CategoricalOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.categories">categories (dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel">CharacterLevelCnnModel (class in dataprofiler.labelers.character_level_cnn_model)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor">CharEncodedPreprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel">CharLoadTFModel (class in dataprofiler.labelers.char_load_tf_model)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor">CharPostprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor">CharPreprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.check_integer">check_integer() (dataprofiler.data_readers.graph_data.GraphData method)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.check_pipeline">check_pipeline() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.check_pipeline">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.check_pipeline">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.check_pipeline">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.chunk">chunk() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.classification_report_utils.html#dataprofiler.labelers.classification_report_utils.classification_report">classification_report() (in module dataprofiler.labelers.classification_report_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler.clean_data_and_get_base_stats">clean_data_and_get_base_stats() (dataprofiler.profilers.profile_builder.StructuredColProfiler static method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.clear">clear() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.col_type">col_type (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.col_type">(dataprofiler.profilers.base_column_profilers.BaseColumnProfiler attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.col_type">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.col_type">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.col_type">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.col_type">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.col_type">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.col_type">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.col_type">(dataprofiler.profilers.order_column_profile.OrderColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.col_type">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler">ColumnDataLabelerCompiler (class in dataprofiler.profilers.column_profile_compilers)</a>
+</li>
+        <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel">ColumnNameModel (class in dataprofiler.labelers.column_name_model)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor">ColumnNameModelPostprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler">ColumnPrimitiveTypeProfileCompiler (class in dataprofiler.profilers.column_profile_compilers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler">ColumnStatsProfileCompiler (class in dataprofiler.profilers.column_profile_compilers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.Comparable">Comparable (class in dataprofiler.profilers.order_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.compute_dtype">compute_dtype (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.compute_dtype">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.compute_mask">compute_mask() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.compute_mask">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.compute_output_shape">compute_output_shape() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.compute_output_shape">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.compute_output_signature">compute_output_signature() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.compute_output_signature">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.classification_report_utils.html#dataprofiler.labelers.classification_report_utils.convert_confusion_matrix_to_MCM">convert_confusion_matrix_to_MCM() (in module dataprofiler.labelers.classification_report_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.convert_int_to_string">convert_int_to_string() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.convert_to_NER_format">convert_to_NER_format() (dataprofiler.labelers.data_processing.CharPostprocessor static method)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.convert_to_structured_analysis">convert_to_structured_analysis() (dataprofiler.labelers.data_processing.StructCharPostprocessor method)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.convert_to_unstructured_format">convert_to_unstructured_format() (dataprofiler.labelers.data_processing.StructCharPreprocessor method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.copy">copy() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CorrelationOptions">CorrelationOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.count_params">count_params() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.count_params">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.create_glove_char">create_glove_char() (in module dataprofiler.labelers.character_level_cnn_model)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.csv_column_names">csv_column_names() (dataprofiler.data_readers.graph_data.GraphData class method)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData">CSVData (class in dataprofiler.data_readers.csv_data)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="D" class="genindex-section">
+  <h2>D</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.data.html#dataprofiler.data_readers.data.Data">Data (class in dataprofiler.data_readers.data)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.data">data (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.data">(dataprofiler.data_readers.base_data.BaseData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.data">(dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.data">(dataprofiler.data_readers.graph_data.GraphData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.data">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.data">(dataprofiler.data_readers.parquet_data.ParquetData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.data">(dataprofiler.data_readers.text_data.TextData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.data_and_metadata">data_and_metadata (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.data_and_metadata">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data.html#dataprofiler.data_readers.data.Data.data_classes">data_classes (dataprofiler.data_readers.data.Data attribute)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.data_format">data_format (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.data_format">(dataprofiler.data_readers.base_data.BaseData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.data_format">(dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.data_format">(dataprofiler.data_readers.graph_data.GraphData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.data_format">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.data_format">(dataprofiler.data_readers.parquet_data.ParquetData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.data_format">(dataprofiler.data_readers.text_data.TextData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.data_generator">data_generator() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.data_label">data_label (dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.data_type">data_type (dataprofiler.data_readers.avro_data.AVROData attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.data_type">(dataprofiler.data_readers.base_data.BaseData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.data_type">(dataprofiler.data_readers.csv_data.CSVData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.data_type">(dataprofiler.data_readers.graph_data.GraphData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.data_type">(dataprofiler.data_readers.json_data.JSONData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.data_type">(dataprofiler.data_readers.parquet_data.ParquetData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.data_type">(dataprofiler.data_readers.text_data.TextData attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.data_type_ratio">data_type_ratio (dataprofiler.profilers.datetime_column_profile.DateTimeColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.data_type_ratio">(dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.data_type_ratio">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.data_type_ratio">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.DataLabeler">DataLabeler (class in dataprofiler.labelers.data_labelers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn">DataLabelerColumn (class in dataprofiler.profilers.data_labeler_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions">DataLabelerOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li>
+    dataprofiler
+
+        <ul>
+          <li><a href="dataprofiler.html#module-dataprofiler">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.html#module-dataprofiler.data_readers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.avro_data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.avro_data.html#module-dataprofiler.data_readers.avro_data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.base_data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#module-dataprofiler.data_readers.base_data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.csv_data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.csv_data.html#module-dataprofiler.data_readers.csv_data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.data.html#module-dataprofiler.data_readers.data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.data_utils
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.data_utils.html#module-dataprofiler.data_readers.data_utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.filepath_or_buffer
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.filepath_or_buffer.html#module-dataprofiler.data_readers.filepath_or_buffer">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.graph_data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.graph_data.html#module-dataprofiler.data_readers.graph_data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.json_data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.json_data.html#module-dataprofiler.data_readers.json_data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.parquet_data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#module-dataprofiler.data_readers.parquet_data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.structured_mixins
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.structured_mixins.html#module-dataprofiler.data_readers.structured_mixins">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.text_data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.text_data.html#module-dataprofiler.data_readers.text_data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.dp_logging
+
+        <ul>
+          <li><a href="dataprofiler.dp_logging.html#module-dataprofiler.dp_logging">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers
+
+        <ul>
+          <li><a href="dataprofiler.labelers.html#module-dataprofiler.labelers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.base_data_labeler
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#module-dataprofiler.labelers.base_data_labeler">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.base_model
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#module-dataprofiler.labelers.base_model">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.char_load_tf_model
+
+        <ul>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#module-dataprofiler.labelers.char_load_tf_model">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.character_level_cnn_model
+
+        <ul>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#module-dataprofiler.labelers.character_level_cnn_model">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.classification_report_utils
+
+        <ul>
+          <li><a href="dataprofiler.labelers.classification_report_utils.html#module-dataprofiler.labelers.classification_report_utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.column_name_model
+
+        <ul>
+          <li><a href="dataprofiler.labelers.column_name_model.html#module-dataprofiler.labelers.column_name_model">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.data_labelers
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_labelers.html#module-dataprofiler.labelers.data_labelers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.data_processing
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_processing.html#module-dataprofiler.labelers.data_processing">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.labeler_utils
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#module-dataprofiler.labelers.labeler_utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.regex_model
+
+        <ul>
+          <li><a href="dataprofiler.labelers.regex_model.html#module-dataprofiler.labelers.regex_model">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.utils
+
+        <ul>
+          <li><a href="dataprofiler.labelers.utils.html#module-dataprofiler.labelers.utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers
+
+        <ul>
+          <li><a href="dataprofiler.profilers.html#module-dataprofiler.profilers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.base_column_profilers
+
+        <ul>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#module-dataprofiler.profilers.base_column_profilers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.categorical_column_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#module-dataprofiler.profilers.categorical_column_profile">module</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li>
+    dataprofiler.profilers.column_profile_compilers
+
+        <ul>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#module-dataprofiler.profilers.column_profile_compilers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.data_labeler_column_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#module-dataprofiler.profilers.data_labeler_column_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.datetime_column_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#module-dataprofiler.profilers.datetime_column_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.float_column_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#module-dataprofiler.profilers.float_column_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.graph_profiler
+
+        <ul>
+          <li><a href="dataprofiler.profilers.graph_profiler.html#module-dataprofiler.profilers.graph_profiler">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.helpers
+
+        <ul>
+          <li><a href="dataprofiler.profilers.helpers.html#module-dataprofiler.profilers.helpers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.helpers.report_helpers
+
+        <ul>
+          <li><a href="dataprofiler.profilers.helpers.report_helpers.html#module-dataprofiler.profilers.helpers.report_helpers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.histogram_utils
+
+        <ul>
+          <li><a href="dataprofiler.profilers.histogram_utils.html#module-dataprofiler.profilers.histogram_utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.int_column_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#module-dataprofiler.profilers.int_column_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.json_decoder
+
+        <ul>
+          <li><a href="dataprofiler.profilers.json_decoder.html#module-dataprofiler.profilers.json_decoder">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.json_encoder
+
+        <ul>
+          <li><a href="dataprofiler.profilers.json_encoder.html#module-dataprofiler.profilers.json_encoder">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.numerical_column_stats
+
+        <ul>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#module-dataprofiler.profilers.numerical_column_stats">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.order_column_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#module-dataprofiler.profilers.order_column_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.profile_builder
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profile_builder.html#module-dataprofiler.profilers.profile_builder">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.profiler_options
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_options.html#module-dataprofiler.profilers.profiler_options">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.profiler_utils
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_utils.html#module-dataprofiler.profilers.profiler_utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.text_column_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#module-dataprofiler.profilers.text_column_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.unstructured_labeler_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#module-dataprofiler.profilers.unstructured_labeler_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.unstructured_text_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.unstructured_text_profile.html#module-dataprofiler.profilers.unstructured_text_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.reports
+
+        <ul>
+          <li><a href="dataprofiler.reports.html#module-dataprofiler.reports">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.reports.graphs
+
+        <ul>
+          <li><a href="dataprofiler.reports.graphs.html#module-dataprofiler.reports.graphs">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.reports.utils
+
+        <ul>
+          <li><a href="dataprofiler.reports.utils.html#module-dataprofiler.reports.utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.rng_utils
+
+        <ul>
+          <li><a href="dataprofiler.rng_utils.html#module-dataprofiler.rng_utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.settings
+
+        <ul>
+          <li><a href="dataprofiler.settings.html#module-dataprofiler.settings">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.validators
+
+        <ul>
+          <li><a href="dataprofiler.validators.html#module-dataprofiler.validators">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.validators.base_validators
+
+        <ul>
+          <li><a href="dataprofiler.validators.base_validators.html#module-dataprofiler.validators.base_validators">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.version
+
+        <ul>
+          <li><a href="dataprofiler.version.html#module-dataprofiler.version">module</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn">DateTimeColumn (class in dataprofiler.profilers.datetime_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DateTimeOptions">DateTimeOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_encoder.html#dataprofiler.profilers.json_encoder.ProfileEncoder.default">default() (dataprofiler.profilers.json_encoder.ProfileEncoder method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.default_factory">default_factory (dataprofiler.profilers.profiler_utils.KeyDict attribute)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.delimiter">delimiter (dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.details">details() (dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.details">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.detect_cell_type">detect_cell_type() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.detect_file_encoding">detect_file_encoding() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.diff">diff() (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.diff">(dataprofiler.profilers.base_column_profilers.BaseColumnProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.diff">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.BaseCompiler.diff">(dataprofiler.profilers.column_profile_compilers.BaseCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.diff">(dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.diff">(dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.diff">(dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.diff">(dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.diff">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.diff">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.diff">(dataprofiler.profilers.float_column_profile.FloatColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler.diff">(dataprofiler.profilers.graph_profiler.GraphProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.diff">(dataprofiler.profilers.int_column_profile.IntColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.diff">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.diff">(dataprofiler.profilers.order_column_profile.OrderColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler.diff">(dataprofiler.profilers.profile_builder.BaseProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler.diff">(dataprofiler.profilers.profile_builder.StructuredColProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler.diff">(dataprofiler.profilers.profile_builder.StructuredProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler.diff">(dataprofiler.profilers.profile_builder.UnstructuredProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.diff">(dataprofiler.profilers.text_column_profile.TextColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.diff">(dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_text_profile.html#dataprofiler.profilers.unstructured_text_profile.TextProfiler.diff">(dataprofiler.profilers.unstructured_text_profile.TextProfiler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor">DirectPassPreprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.dtype">dtype (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.dtype">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.dtype_policy">dtype_policy (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.dtype_policy">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.dynamic">dynamic (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.dynamic">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="E" class="genindex-section">
+  <h2>E</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions.enabled_profiles">enabled_profiles (dataprofiler.profilers.profiler_options.StructuredOptions property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UnstructuredOptions.enabled_profiles">(dataprofiler.profilers.profiler_options.UnstructuredOptions property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.json_encoder.html#dataprofiler.profilers.json_encoder.ProfileEncoder.encode">encode() (dataprofiler.profilers.json_encoder.ProfileEncoder method)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.evaluate_accuracy">evaluate_accuracy() (in module dataprofiler.labelers.labeler_utils)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="F" class="genindex-section">
+  <h2>F</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.f1_report_dict_to_str">f1_report_dict_to_str() (in module dataprofiler.labelers.labeler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score">F1Score (class in dataprofiler.labelers.labeler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore">FBetaScore (class in dataprofiler.labelers.labeler_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.file_encoding">file_encoding (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.file_encoding">(dataprofiler.data_readers.base_data.BaseData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.file_encoding">(dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.file_encoding">(dataprofiler.data_readers.graph_data.GraphData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.file_encoding">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.file_encoding">(dataprofiler.data_readers.parquet_data.ParquetData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.file_encoding">(dataprofiler.data_readers.text_data.TextData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.filepath_or_buffer.html#dataprofiler.data_readers.filepath_or_buffer.FileOrBufferHandler">FileOrBufferHandler (class in dataprofiler.data_readers.filepath_or_buffer)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.finalize_state">finalize_state() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.finalize_state">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.find_diff_of_dates">find_diff_of_dates() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.find_diff_of_dicts">find_diff_of_dicts() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.find_diff_of_dicts_with_diff_keys">find_diff_of_dicts_with_diff_keys() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.find_diff_of_lists_and_sets">find_diff_of_lists_and_sets() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.find_diff_of_matrices">find_diff_of_matrices() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.find_diff_of_numbers">find_diff_of_numbers() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.find_diff_of_strings_and_bools">find_diff_of_strings_and_bools() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.find_nth_loc">find_nth_loc() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.fit">fit() (dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.fit">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.fit">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.fit">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.helpers.report_helpers.html#dataprofiler.profilers.helpers.report_helpers.flat_dict">flat_dict() (in module dataprofiler.profilers.helpers.report_helpers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn">FloatColumn (class in dataprofiler.profilers.float_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions">FloatOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.from_config">from_config() (dataprofiler.labelers.labeler_utils.F1Score class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.from_config">(dataprofiler.labelers.labeler_utils.FBetaScore class method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.fromkeys">fromkeys() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="G" class="genindex-section">
+  <h2>G</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.generate_pool">generate_pool() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.generator_on_file">generator_on_file() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.get">get() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.validators.base_validators.html#dataprofiler.validators.base_validators.Validator.get">(dataprofiler.validators.base_validators.Validator method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.get_batch_generator">get_batch_generator() (dataprofiler.data_readers.avro_data.AVROData method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.get_batch_generator">(dataprofiler.data_readers.base_data.BaseData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.get_batch_generator">(dataprofiler.data_readers.csv_data.CSVData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.get_batch_generator">(dataprofiler.data_readers.graph_data.GraphData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.get_batch_generator">(dataprofiler.data_readers.json_data.JSONData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.get_batch_generator">(dataprofiler.data_readers.parquet_data.ParquetData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.get_batch_generator">(dataprofiler.data_readers.text_data.TextData method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_build_config">get_build_config() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_build_config">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.dp_logging.html#dataprofiler.dp_logging.get_child_logger">get_child_logger() (in module dataprofiler.dp_logging)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.get_class">get_class() (dataprofiler.labelers.base_model.BaseModel class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.get_class">(dataprofiler.labelers.base_model.BaseTrainableModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.get_class">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.get_class">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.get_class">(dataprofiler.labelers.column_name_model.ColumnNameModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.get_class">(dataprofiler.labelers.data_processing.BaseDataPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.get_class">(dataprofiler.labelers.data_processing.BaseDataPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.get_class">(dataprofiler.labelers.data_processing.BaseDataProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.get_class">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.get_class">(dataprofiler.labelers.data_processing.CharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.get_class">(dataprofiler.labelers.data_processing.CharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.get_class">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.get_class">(dataprofiler.labelers.data_processing.DirectPassPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.get_class">(dataprofiler.labelers.data_processing.RegexPostProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.get_class">(dataprofiler.labelers.data_processing.StructCharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.get_class">(dataprofiler.labelers.data_processing.StructCharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.get_class">(dataprofiler.labelers.data_processing.StructRegexPostProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.get_class">(dataprofiler.labelers.regex_model.RegexModel class method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.get_column_profiler_class">get_column_profiler_class() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.get_compiler_class">get_compiler_class() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_config">get_config() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_config">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.get_delimiter_regex">get_delimiter_regex() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_input_at">get_input_at() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_input_at">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_input_mask_at">get_input_mask_at() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_input_mask_at">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_input_shape_at">get_input_shape_at() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_input_shape_at">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.dp_logging.html#dataprofiler.dp_logging.get_logger">get_logger() (in module dataprofiler.dp_logging)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.get_memory_size">get_memory_size() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.get_option_class">get_option_class() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_output_at">get_output_at() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_output_at">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_output_mask_at">get_output_mask_at() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_output_mask_at">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_output_shape_at">get_output_shape_at() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_output_shape_at">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.get_parameters">get_parameters() (dataprofiler.labelers.base_model.BaseModel method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.get_parameters">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.get_parameters">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.get_parameters">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.get_parameters">(dataprofiler.labelers.column_name_model.ColumnNameModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.get_parameters">(dataprofiler.labelers.data_processing.BaseDataPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.get_parameters">(dataprofiler.labelers.data_processing.BaseDataPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.get_parameters">(dataprofiler.labelers.data_processing.BaseDataProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.get_parameters">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.get_parameters">(dataprofiler.labelers.data_processing.CharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.get_parameters">(dataprofiler.labelers.data_processing.CharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.get_parameters">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.get_parameters">(dataprofiler.labelers.data_processing.DirectPassPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.get_parameters">(dataprofiler.labelers.data_processing.RegexPostProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.get_parameters">(dataprofiler.labelers.data_processing.StructCharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.get_parameters">(dataprofiler.labelers.data_processing.StructCharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.get_parameters">(dataprofiler.labelers.data_processing.StructRegexPostProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.get_parameters">(dataprofiler.labelers.regex_model.RegexModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.get_profiler_class">get_profiler_class() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.rng_utils.html#dataprofiler.rng_utils.get_random_number_generator">get_random_number_generator() (in module dataprofiler.rng_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.get_structured_col_profiler_class">get_structured_col_profiler_class() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.get_tf_layer_index_from_name">get_tf_layer_index_from_name() (in module dataprofiler.labelers.labeler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_weights">get_weights() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_weights">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.gini_impurity">gini_impurity (dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData">GraphData (class in dataprofiler.data_readers.graph_data)</a>
+</li>
+        <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler">GraphProfiler (class in dataprofiler.profilers.graph_profiler)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="H" class="genindex-section">
+  <h2>H</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.header">header (dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.help">help() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.help">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.help">(dataprofiler.labelers.base_model.BaseModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.help">(dataprofiler.labelers.base_model.BaseTrainableModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.help">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.help">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.help">(dataprofiler.labelers.column_name_model.ColumnNameModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.help">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.help">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.help">(dataprofiler.labelers.data_processing.BaseDataPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.help">(dataprofiler.labelers.data_processing.BaseDataPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.help">(dataprofiler.labelers.data_processing.BaseDataProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.help">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.help">(dataprofiler.labelers.data_processing.CharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.help">(dataprofiler.labelers.data_processing.CharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.help">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.help">(dataprofiler.labelers.data_processing.DirectPassPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.help">(dataprofiler.labelers.data_processing.RegexPostProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.help">(dataprofiler.labelers.data_processing.StructCharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.help">(dataprofiler.labelers.data_processing.StructCharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.help">(dataprofiler.labelers.data_processing.StructRegexPostProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.help">(dataprofiler.labelers.regex_model.RegexModel class method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.hide_tf_logger_warnings">hide_tf_logger_warnings() (in module dataprofiler.labelers.labeler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.histogram_bin_method_names">histogram_bin_method_names (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.histogram_methods">histogram_methods (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.histogram_selection">histogram_selection (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption">HistogramAndQuantilesOption (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HyperLogLogOptions">HyperLogLogOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="I" class="genindex-section">
+  <h2>I</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.inbound_nodes">inbound_nodes (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.inbound_nodes">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.info">info (dataprofiler.data_readers.avro_data.AVROData attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.info">(dataprofiler.data_readers.base_data.BaseData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.info">(dataprofiler.data_readers.csv_data.CSVData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.info">(dataprofiler.data_readers.graph_data.GraphData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.info">(dataprofiler.data_readers.json_data.JSONData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.info">(dataprofiler.data_readers.parquet_data.ParquetData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.info">(dataprofiler.data_readers.text_data.TextData attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.input">input (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.input">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.input_mask">input_mask (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.input_mask">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.input_shape">input_shape (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.input_shape">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.input_spec">input_spec (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.input_spec">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn">IntColumn (class in dataprofiler.profilers.int_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions">IntOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.is_float">is_float() (dataprofiler.profilers.float_column_profile.FloatColumn static method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.is_float">(dataprofiler.profilers.int_column_profile.IntColumn static method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.is_float">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin static method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.is_float">(dataprofiler.profilers.text_column_profile.TextColumn static method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.validators.base_validators.html#dataprofiler.validators.base_validators.is_in_list">is_in_list() (in module dataprofiler.validators.base_validators)</a>
+</li>
+        <li><a href="dataprofiler.validators.base_validators.html#dataprofiler.validators.base_validators.is_in_range">is_in_range() (in module dataprofiler.validators.base_validators)</a>
+</li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.is_int">is_int() (dataprofiler.profilers.float_column_profile.FloatColumn static method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.is_int">(dataprofiler.profilers.int_column_profile.IntColumn static method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.is_int">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin static method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.is_int">(dataprofiler.profilers.text_column_profile.TextColumn static method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.is_match">is_match (dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.is_match">is_match() (dataprofiler.data_readers.avro_data.AVROData class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.is_match">(dataprofiler.data_readers.base_data.BaseData class method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.is_match">(dataprofiler.data_readers.csv_data.CSVData class method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.is_match">(dataprofiler.data_readers.graph_data.GraphData class method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.is_match">(dataprofiler.data_readers.json_data.JSONData class method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.is_match">(dataprofiler.data_readers.parquet_data.ParquetData class method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.is_match">(dataprofiler.data_readers.text_data.TextData class method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions.is_numeric_stats_enabled">is_numeric_stats_enabled (dataprofiler.profilers.profiler_options.FloatOptions property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions.is_numeric_stats_enabled">(dataprofiler.profilers.profiler_options.IntOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions.is_numeric_stats_enabled">(dataprofiler.profilers.profiler_options.NumericalOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions.is_numeric_stats_enabled">(dataprofiler.profilers.profiler_options.TextOptions property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseInspectorOptions.is_prop_enabled">is_prop_enabled() (dataprofiler.profilers.profiler_options.BaseInspectorOptions method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CategoricalOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.CategoricalOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CorrelationOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.CorrelationOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.DataLabelerOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DateTimeOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.DateTimeOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.FloatOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.IntOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.NumericalOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.OrderOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.OrderOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.TextOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextProfilerOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.TextProfilerOptions method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.filepath_or_buffer.html#dataprofiler.data_readers.filepath_or_buffer.is_stream_buffer">is_stream_buffer() (in module dataprofiler.data_readers.filepath_or_buffer)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.is_structured">is_structured (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.is_structured">(dataprofiler.data_readers.base_data.BaseData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.is_structured">(dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.is_structured">(dataprofiler.data_readers.graph_data.GraphData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.is_structured">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.is_structured">(dataprofiler.data_readers.parquet_data.ParquetData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.is_structured">(dataprofiler.data_readers.text_data.TextData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.is_valid_url">is_valid_url() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_encoder.html#dataprofiler.profilers.json_encoder.ProfileEncoder.item_separator">item_separator (dataprofiler.profilers.json_encoder.ProfileEncoder attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.items">items() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_encoder.html#dataprofiler.profilers.json_encoder.ProfileEncoder.iterencode">iterencode() (dataprofiler.profilers.json_encoder.ProfileEncoder method)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="J" class="genindex-section">
+  <h2>J</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.json_to_dataframe">json_to_dataframe() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData">JSONData (class in dataprofiler.data_readers.json_data)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="K" class="genindex-section">
+  <h2>K</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.json_encoder.html#dataprofiler.profilers.json_encoder.ProfileEncoder.key_separator">key_separator (dataprofiler.profilers.json_encoder.ProfileEncoder attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict">KeyDict (class in dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.keys">keys() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.kurtosis">kurtosis (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.kurtosis">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.kurtosis">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.kurtosis">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="L" class="genindex-section">
+  <h2>L</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.label_encoding">label_encoding (dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.label_mapping">label_mapping (dataprofiler.labelers.base_data_labeler.BaseDataLabeler property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.label_mapping">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.label_mapping">(dataprofiler.labelers.base_model.BaseModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.label_mapping">(dataprofiler.labelers.base_model.BaseTrainableModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.label_mapping">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.label_mapping">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.label_mapping">(dataprofiler.labelers.column_name_model.ColumnNameModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.label_mapping">(dataprofiler.labelers.data_labelers.StructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.label_mapping">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.label_mapping">(dataprofiler.labelers.regex_model.RegexModel property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.label_representation">label_representation (dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.DataLabeler.labeler_classes">labeler_classes (dataprofiler.labelers.data_labelers.DataLabeler attribute)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.labels">labels (dataprofiler.labelers.base_data_labeler.BaseDataLabeler property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.labels">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.labels">(dataprofiler.labelers.base_model.BaseModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.labels">(dataprofiler.labelers.base_model.BaseTrainableModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.labels">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.labels">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.labels">(dataprofiler.labelers.column_name_model.ColumnNameModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.labels">(dataprofiler.labelers.data_labelers.StructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.labels">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.labels">(dataprofiler.labelers.regex_model.RegexModel property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.length">length (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.length">(dataprofiler.data_readers.base_data.BaseData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.length">(dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.length">(dataprofiler.data_readers.graph_data.GraphData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.length">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.length">(dataprofiler.data_readers.parquet_data.ParquetData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.length">(dataprofiler.data_readers.text_data.TextData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler.load">load() (dataprofiler.profilers.graph_profiler.GraphProfiler class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler.load">(dataprofiler.profilers.profile_builder.BaseProfiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.Profiler.load">(dataprofiler.profilers.profile_builder.Profiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler.load">(dataprofiler.profilers.profile_builder.StructuredProfiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler.load">(dataprofiler.profilers.profile_builder.UnstructuredProfiler class method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.load_as_str_from_file">load_as_str_from_file() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.load_column_profile">load_column_profile() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.load_compiler">load_compiler() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.load_from_dict">load_from_dict() (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.load_from_dict">(dataprofiler.profilers.base_column_profilers.BaseColumnProfiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.load_from_dict">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.BaseCompiler.load_from_dict">(dataprofiler.profilers.column_profile_compilers.BaseCompiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.load_from_dict">(dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.load_from_dict">(dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.load_from_dict">(dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.load_from_dict">(dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.load_from_dict">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.load_from_dict">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.load_from_dict">(dataprofiler.profilers.float_column_profile.FloatColumn class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.load_from_dict">(dataprofiler.profilers.int_column_profile.IntColumn class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.load_from_dict">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.load_from_dict">(dataprofiler.profilers.order_column_profile.OrderColumn class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler.load_from_dict">(dataprofiler.profilers.profile_builder.BaseProfiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler.load_from_dict">(dataprofiler.profilers.profile_builder.StructuredColProfiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler.load_from_dict">(dataprofiler.profilers.profile_builder.StructuredProfiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler.load_from_dict">(dataprofiler.profilers.profile_builder.UnstructuredProfiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseInspectorOptions.load_from_dict">(dataprofiler.profilers.profiler_options.BaseInspectorOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseOption.load_from_dict">(dataprofiler.profilers.profiler_options.BaseOption class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BooleanOption.load_from_dict">(dataprofiler.profilers.profiler_options.BooleanOption class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CategoricalOptions.load_from_dict">(dataprofiler.profilers.profiler_options.CategoricalOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CorrelationOptions.load_from_dict">(dataprofiler.profilers.profiler_options.CorrelationOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions.load_from_dict">(dataprofiler.profilers.profiler_options.DataLabelerOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DateTimeOptions.load_from_dict">(dataprofiler.profilers.profiler_options.DateTimeOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions.load_from_dict">(dataprofiler.profilers.profiler_options.FloatOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.load_from_dict">(dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HyperLogLogOptions.load_from_dict">(dataprofiler.profilers.profiler_options.HyperLogLogOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions.load_from_dict">(dataprofiler.profilers.profiler_options.IntOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ModeOption.load_from_dict">(dataprofiler.profilers.profiler_options.ModeOption class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions.load_from_dict">(dataprofiler.profilers.profiler_options.NumericalOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.OrderOptions.load_from_dict">(dataprofiler.profilers.profiler_options.OrderOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.PrecisionOptions.load_from_dict">(dataprofiler.profilers.profiler_options.PrecisionOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ProfilerOptions.load_from_dict">(dataprofiler.profilers.profiler_options.ProfilerOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.RowStatisticsOptions.load_from_dict">(dataprofiler.profilers.profiler_options.RowStatisticsOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions.load_from_dict">(dataprofiler.profilers.profiler_options.StructuredOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions.load_from_dict">(dataprofiler.profilers.profiler_options.TextOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextProfilerOptions.load_from_dict">(dataprofiler.profilers.profiler_options.TextProfilerOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UniqueCountOptions.load_from_dict">(dataprofiler.profilers.profiler_options.UniqueCountOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UnstructuredOptions.load_from_dict">(dataprofiler.profilers.profiler_options.UnstructuredOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.load_from_dict">(dataprofiler.profilers.text_column_profile.TextColumn class method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_from_disk">load_from_disk() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_from_disk">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.load_from_disk">(dataprofiler.labelers.base_model.BaseModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.load_from_disk">(dataprofiler.labelers.base_model.BaseTrainableModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.load_from_disk">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.load_from_disk">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.load_from_disk">(dataprofiler.labelers.column_name_model.ColumnNameModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.DataLabeler.load_from_disk">(dataprofiler.labelers.data_labelers.DataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_from_disk">(dataprofiler.labelers.data_labelers.StructuredDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_from_disk">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.load_from_disk">(dataprofiler.labelers.data_processing.BaseDataPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.load_from_disk">(dataprofiler.labelers.data_processing.BaseDataPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.load_from_disk">(dataprofiler.labelers.data_processing.BaseDataProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.load_from_disk">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.load_from_disk">(dataprofiler.labelers.data_processing.CharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.load_from_disk">(dataprofiler.labelers.data_processing.CharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.load_from_disk">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.load_from_disk">(dataprofiler.labelers.data_processing.DirectPassPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.load_from_disk">(dataprofiler.labelers.data_processing.RegexPostProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.load_from_disk">(dataprofiler.labelers.data_processing.StructCharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.load_from_disk">(dataprofiler.labelers.data_processing.StructCharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.load_from_disk">(dataprofiler.labelers.data_processing.StructRegexPostProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.load_from_disk">(dataprofiler.labelers.regex_model.RegexModel class method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_from_library">load_from_library() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_from_library">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.DataLabeler.load_from_library">(dataprofiler.labelers.data_labelers.DataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_from_library">(dataprofiler.labelers.data_labelers.StructuredDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_from_library">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.load_from_library">(dataprofiler.labelers.data_processing.BaseDataPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.load_from_library">(dataprofiler.labelers.data_processing.BaseDataPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.load_from_library">(dataprofiler.labelers.data_processing.BaseDataProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.load_from_library">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.load_from_library">(dataprofiler.labelers.data_processing.CharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.load_from_library">(dataprofiler.labelers.data_processing.CharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.load_from_library">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.load_from_library">(dataprofiler.labelers.data_processing.DirectPassPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.load_from_library">(dataprofiler.labelers.data_processing.RegexPostProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.load_from_library">(dataprofiler.labelers.data_processing.StructCharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.load_from_library">(dataprofiler.labelers.data_processing.StructCharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.load_from_library">(dataprofiler.labelers.data_processing.StructRegexPostProcessor class method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.load_option">load_option() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.load_own_variables">load_own_variables() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.load_own_variables">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.load_profiler">load_profiler() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.load_structured_col_profiler">load_structured_col_profiler() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_with_components">load_with_components() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_with_components">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.DataLabeler.load_with_components">(dataprofiler.labelers.data_labelers.DataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_with_components">(dataprofiler.labelers.data_labelers.StructuredDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_with_components">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler class method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.losses">losses (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.losses">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="M" class="genindex-section">
+  <h2>M</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.match_count">match_count (dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.match_count">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.match_count">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.match_count">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.match_sentence_lengths">match_sentence_lengths() (dataprofiler.labelers.data_processing.CharPostprocessor static method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.match_sentence_lengths">(dataprofiler.labelers.data_processing.StructCharPostprocessor static method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.max">max (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.max_histogram_bin">max_histogram_bin (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.mean">mean (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.mean">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.mean">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.mean">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.median">median (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.median">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.median">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.median">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.median_abs_deviation">median_abs_deviation (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.median_abs_deviation">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.median_abs_deviation">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.median_abs_deviation">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.merge">merge() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.merge_profile_list">merge_profile_list() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.merge_state">merge_state() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.merge_state">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.metadata">metadata (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.metadata">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.metadata">(dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.metadata">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.metadata">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.metadata">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.metadata">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.metadata">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.metadata">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.metadata">(dataprofiler.profilers.order_column_profile.OrderColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.metadata">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.method_timeit">method_timeit() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.metrics">metrics (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.metrics">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.min">min (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.min_histogram_bin">min_histogram_bin (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.mode">mode (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.mode">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.mode">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.mode">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.model">model (dataprofiler.labelers.base_data_labeler.BaseDataLabeler property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.model">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.model">(dataprofiler.labelers.data_labelers.StructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.model">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ModeOption">ModeOption (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li>
+    module
+
+        <ul>
+          <li><a href="dataprofiler.html#module-dataprofiler">dataprofiler</a>
+</li>
+          <li><a href="dataprofiler.data_readers.html#module-dataprofiler.data_readers">dataprofiler.data_readers</a>
+</li>
+          <li><a href="dataprofiler.data_readers.avro_data.html#module-dataprofiler.data_readers.avro_data">dataprofiler.data_readers.avro_data</a>
+</li>
+          <li><a href="dataprofiler.data_readers.base_data.html#module-dataprofiler.data_readers.base_data">dataprofiler.data_readers.base_data</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#module-dataprofiler.data_readers.csv_data">dataprofiler.data_readers.csv_data</a>
+</li>
+          <li><a href="dataprofiler.data_readers.data.html#module-dataprofiler.data_readers.data">dataprofiler.data_readers.data</a>
+</li>
+          <li><a href="dataprofiler.data_readers.data_utils.html#module-dataprofiler.data_readers.data_utils">dataprofiler.data_readers.data_utils</a>
+</li>
+          <li><a href="dataprofiler.data_readers.filepath_or_buffer.html#module-dataprofiler.data_readers.filepath_or_buffer">dataprofiler.data_readers.filepath_or_buffer</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#module-dataprofiler.data_readers.graph_data">dataprofiler.data_readers.graph_data</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#module-dataprofiler.data_readers.json_data">dataprofiler.data_readers.json_data</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#module-dataprofiler.data_readers.parquet_data">dataprofiler.data_readers.parquet_data</a>
+</li>
+          <li><a href="dataprofiler.data_readers.structured_mixins.html#module-dataprofiler.data_readers.structured_mixins">dataprofiler.data_readers.structured_mixins</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#module-dataprofiler.data_readers.text_data">dataprofiler.data_readers.text_data</a>
+</li>
+          <li><a href="dataprofiler.dp_logging.html#module-dataprofiler.dp_logging">dataprofiler.dp_logging</a>
+</li>
+          <li><a href="dataprofiler.labelers.html#module-dataprofiler.labelers">dataprofiler.labelers</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#module-dataprofiler.labelers.base_data_labeler">dataprofiler.labelers.base_data_labeler</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#module-dataprofiler.labelers.base_model">dataprofiler.labelers.base_model</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#module-dataprofiler.labelers.char_load_tf_model">dataprofiler.labelers.char_load_tf_model</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#module-dataprofiler.labelers.character_level_cnn_model">dataprofiler.labelers.character_level_cnn_model</a>
+</li>
+          <li><a href="dataprofiler.labelers.classification_report_utils.html#module-dataprofiler.labelers.classification_report_utils">dataprofiler.labelers.classification_report_utils</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#module-dataprofiler.labelers.column_name_model">dataprofiler.labelers.column_name_model</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#module-dataprofiler.labelers.data_labelers">dataprofiler.labelers.data_labelers</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#module-dataprofiler.labelers.data_processing">dataprofiler.labelers.data_processing</a>
+</li>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#module-dataprofiler.labelers.labeler_utils">dataprofiler.labelers.labeler_utils</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#module-dataprofiler.labelers.regex_model">dataprofiler.labelers.regex_model</a>
+</li>
+          <li><a href="dataprofiler.labelers.utils.html#module-dataprofiler.labelers.utils">dataprofiler.labelers.utils</a>
+</li>
+          <li><a href="dataprofiler.profilers.html#module-dataprofiler.profilers">dataprofiler.profilers</a>
+</li>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#module-dataprofiler.profilers.base_column_profilers">dataprofiler.profilers.base_column_profilers</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#module-dataprofiler.profilers.categorical_column_profile">dataprofiler.profilers.categorical_column_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#module-dataprofiler.profilers.column_profile_compilers">dataprofiler.profilers.column_profile_compilers</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#module-dataprofiler.profilers.data_labeler_column_profile">dataprofiler.profilers.data_labeler_column_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#module-dataprofiler.profilers.datetime_column_profile">dataprofiler.profilers.datetime_column_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#module-dataprofiler.profilers.float_column_profile">dataprofiler.profilers.float_column_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.graph_profiler.html#module-dataprofiler.profilers.graph_profiler">dataprofiler.profilers.graph_profiler</a>
+</li>
+          <li><a href="dataprofiler.profilers.helpers.html#module-dataprofiler.profilers.helpers">dataprofiler.profilers.helpers</a>
+</li>
+          <li><a href="dataprofiler.profilers.helpers.report_helpers.html#module-dataprofiler.profilers.helpers.report_helpers">dataprofiler.profilers.helpers.report_helpers</a>
+</li>
+          <li><a href="dataprofiler.profilers.histogram_utils.html#module-dataprofiler.profilers.histogram_utils">dataprofiler.profilers.histogram_utils</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#module-dataprofiler.profilers.int_column_profile">dataprofiler.profilers.int_column_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.json_decoder.html#module-dataprofiler.profilers.json_decoder">dataprofiler.profilers.json_decoder</a>
+</li>
+          <li><a href="dataprofiler.profilers.json_encoder.html#module-dataprofiler.profilers.json_encoder">dataprofiler.profilers.json_encoder</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#module-dataprofiler.profilers.numerical_column_stats">dataprofiler.profilers.numerical_column_stats</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#module-dataprofiler.profilers.order_column_profile">dataprofiler.profilers.order_column_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#module-dataprofiler.profilers.profile_builder">dataprofiler.profilers.profile_builder</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#module-dataprofiler.profilers.profiler_options">dataprofiler.profilers.profiler_options</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_utils.html#module-dataprofiler.profilers.profiler_utils">dataprofiler.profilers.profiler_utils</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#module-dataprofiler.profilers.text_column_profile">dataprofiler.profilers.text_column_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#module-dataprofiler.profilers.unstructured_labeler_profile">dataprofiler.profilers.unstructured_labeler_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_text_profile.html#module-dataprofiler.profilers.unstructured_text_profile">dataprofiler.profilers.unstructured_text_profile</a>
+</li>
+          <li><a href="dataprofiler.reports.html#module-dataprofiler.reports">dataprofiler.reports</a>
+</li>
+          <li><a href="dataprofiler.reports.graphs.html#module-dataprofiler.reports.graphs">dataprofiler.reports.graphs</a>
+</li>
+          <li><a href="dataprofiler.reports.utils.html#module-dataprofiler.reports.utils">dataprofiler.reports.utils</a>
+</li>
+          <li><a href="dataprofiler.rng_utils.html#module-dataprofiler.rng_utils">dataprofiler.rng_utils</a>
+</li>
+          <li><a href="dataprofiler.settings.html#module-dataprofiler.settings">dataprofiler.settings</a>
+</li>
+          <li><a href="dataprofiler.validators.html#module-dataprofiler.validators">dataprofiler.validators</a>
+</li>
+          <li><a href="dataprofiler.validators.base_validators.html#module-dataprofiler.validators.base_validators">dataprofiler.validators.base_validators</a>
+</li>
+          <li><a href="dataprofiler.version.html#module-dataprofiler.version">dataprofiler.version</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.AutoSubRegistrationMeta.mro">mro() (dataprofiler.labelers.base_model.AutoSubRegistrationMeta method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.AutoSubRegistrationMeta.mro">(dataprofiler.labelers.data_processing.AutoSubRegistrationMeta method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="N" class="genindex-section">
+  <h2>N</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.name">name (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.name">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.name">(dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.name">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.name">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.name">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.name">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.name">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.name">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.name">(dataprofiler.profilers.order_column_profile.OrderColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.name">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.name_scope">name_scope (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.name_scope">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.non_trainable_variables">non_trainable_variables (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.non_trainable_variables">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.non_trainable_weights">non_trainable_weights (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.non_trainable_weights">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.np_type_to_type">np_type_to_type() (dataprofiler.profilers.float_column_profile.FloatColumn static method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.np_type_to_type">(dataprofiler.profilers.int_column_profile.IntColumn static method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.np_type_to_type">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin static method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.np_type_to_type">(dataprofiler.profilers.text_column_profile.TextColumn static method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.num_labels">num_labels (dataprofiler.labelers.base_model.BaseModel property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.num_labels">(dataprofiler.labelers.base_model.BaseTrainableModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.num_labels">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.num_labels">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.num_labels">(dataprofiler.labelers.column_name_model.ColumnNameModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.num_labels">(dataprofiler.labelers.regex_model.RegexModel property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.num_negatives">num_negatives (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.num_zeros">num_zeros (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions">NumericalOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin">NumericStatsMixin (class in dataprofiler.profilers.numerical_column_stats)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="O" class="genindex-section">
+  <h2>O</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.options">options (dataprofiler.data_readers.csv_data.CSVData attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.options">(dataprofiler.data_readers.graph_data.GraphData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.options">(dataprofiler.data_readers.json_data.JSONData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.options">(dataprofiler.data_readers.parquet_data.ParquetData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.options">(dataprofiler.data_readers.text_data.TextData attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn">OrderColumn (class in dataprofiler.profilers.order_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.OrderOptions">OrderOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.outbound_nodes">outbound_nodes (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.outbound_nodes">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.output">output (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.output">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.output_mask">output_mask (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.output_mask">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.output_shape">output_shape (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.output_shape">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.overlap">overlap() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="P" class="genindex-section">
+  <h2>P</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData">ParquetData (class in dataprofiler.data_readers.parquet_data)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.partition">partition() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.perform_chi_squared_test_for_homogeneity">perform_chi_squared_test_for_homogeneity() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.pop">pop() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.popitem">popitem() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.possible_data_labels">possible_data_labels (dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.postprocessor">postprocessor (dataprofiler.labelers.base_data_labeler.BaseDataLabeler property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.postprocessor">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.postprocessor">(dataprofiler.labelers.data_labelers.StructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.postprocessor">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.precision">precision (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.classification_report_utils.html#dataprofiler.labelers.classification_report_utils.precision_recall_fscore_support">precision_recall_fscore_support() (in module dataprofiler.labelers.classification_report_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.PrecisionOptions">PrecisionOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.predict">predict() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.predict">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.predict">(dataprofiler.labelers.base_model.BaseModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.predict">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.predict">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.predict">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.predict">(dataprofiler.labelers.column_name_model.ColumnNameModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.predict">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.predict">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.predict">(dataprofiler.labelers.regex_model.RegexModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.preprocessor">preprocessor (dataprofiler.labelers.base_data_labeler.BaseDataLabeler property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.preprocessor">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.preprocessor">(dataprofiler.labelers.data_labelers.StructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.preprocessor">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.priority_prediction">priority_prediction() (dataprofiler.labelers.data_processing.RegexPostProcessor static method)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.process">process() (dataprofiler.labelers.data_processing.BaseDataPostprocessor method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.process">(dataprofiler.labelers.data_processing.BaseDataPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.process">(dataprofiler.labelers.data_processing.BaseDataProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.process">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.process">(dataprofiler.labelers.data_processing.CharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.process">(dataprofiler.labelers.data_processing.CharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.process">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.process">(dataprofiler.labelers.data_processing.DirectPassPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.process">(dataprofiler.labelers.data_processing.RegexPostProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.process">(dataprofiler.labelers.data_processing.StructCharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.process">(dataprofiler.labelers.data_processing.StructCharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.process">(dataprofiler.labelers.data_processing.StructRegexPostProcessor method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.processor_type">processor_type (dataprofiler.labelers.data_processing.BaseDataPostprocessor attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.processor_type">(dataprofiler.labelers.data_processing.BaseDataPreprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.processor_type">(dataprofiler.labelers.data_processing.BaseDataProcessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.processor_type">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.processor_type">(dataprofiler.labelers.data_processing.CharPostprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.processor_type">(dataprofiler.labelers.data_processing.CharPreprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.processor_type">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.processor_type">(dataprofiler.labelers.data_processing.DirectPassPreprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.processor_type">(dataprofiler.labelers.data_processing.RegexPostProcessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.processor_type">(dataprofiler.labelers.data_processing.StructCharPostprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.processor_type">(dataprofiler.labelers.data_processing.StructCharPreprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.processor_type">(dataprofiler.labelers.data_processing.StructRegexPostProcessor attribute)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.profile">profile (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.profile">(dataprofiler.profilers.base_column_profilers.BaseColumnProfiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.profile">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.BaseCompiler.profile">(dataprofiler.profilers.column_profile_compilers.BaseCompiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.profile">(dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.profile">(dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.profile">(dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.profile">(dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.profile">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.profile">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.profile">(dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler.profile">(dataprofiler.profilers.graph_profiler.GraphProfiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.profile">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.profile">(dataprofiler.profilers.order_column_profile.OrderColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler.profile">(dataprofiler.profilers.profile_builder.BaseProfiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler.profile">(dataprofiler.profilers.profile_builder.StructuredColProfiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler.profile">(dataprofiler.profilers.profile_builder.StructuredProfiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler.profile">(dataprofiler.profilers.profile_builder.UnstructuredProfiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.profile">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.profile">(dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_text_profile.html#dataprofiler.profilers.unstructured_text_profile.TextProfiler.profile">(dataprofiler.profilers.unstructured_text_profile.TextProfiler property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.profile">profile() (dataprofiler.profilers.numerical_column_stats.NumericStatsMixin method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_encoder.html#dataprofiler.profilers.json_encoder.ProfileEncoder">ProfileEncoder (class in dataprofiler.profilers.json_encoder)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.Profiler">Profiler (class in dataprofiler.profilers.profile_builder)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ProfilerOptions">ProfilerOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseInspectorOptions.properties">properties (dataprofiler.profilers.profiler_options.BaseInspectorOptions property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseOption.properties">(dataprofiler.profilers.profiler_options.BaseOption property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BooleanOption.properties">(dataprofiler.profilers.profiler_options.BooleanOption property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CategoricalOptions.properties">(dataprofiler.profilers.profiler_options.CategoricalOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CorrelationOptions.properties">(dataprofiler.profilers.profiler_options.CorrelationOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions.properties">(dataprofiler.profilers.profiler_options.DataLabelerOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DateTimeOptions.properties">(dataprofiler.profilers.profiler_options.DateTimeOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions.properties">(dataprofiler.profilers.profiler_options.FloatOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.properties">(dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HyperLogLogOptions.properties">(dataprofiler.profilers.profiler_options.HyperLogLogOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions.properties">(dataprofiler.profilers.profiler_options.IntOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ModeOption.properties">(dataprofiler.profilers.profiler_options.ModeOption property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions.properties">(dataprofiler.profilers.profiler_options.NumericalOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.OrderOptions.properties">(dataprofiler.profilers.profiler_options.OrderOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.PrecisionOptions.properties">(dataprofiler.profilers.profiler_options.PrecisionOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ProfilerOptions.properties">(dataprofiler.profilers.profiler_options.ProfilerOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.RowStatisticsOptions.properties">(dataprofiler.profilers.profiler_options.RowStatisticsOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions.properties">(dataprofiler.profilers.profiler_options.StructuredOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions.properties">(dataprofiler.profilers.profiler_options.TextOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextProfilerOptions.properties">(dataprofiler.profilers.profiler_options.TextProfilerOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UniqueCountOptions.properties">(dataprofiler.profilers.profiler_options.UniqueCountOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UnstructuredOptions.properties">(dataprofiler.profilers.profiler_options.UnstructuredOptions property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.protected_register_keras_serializable">protected_register_keras_serializable() (in module dataprofiler.labelers.labeler_utils)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="Q" class="genindex-section">
+  <h2>Q</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.quantiles">quantiles (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.quotechar">quotechar (dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="R" class="genindex-section">
+  <h2>R</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.rank_distribution">rank_distribution (dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.read_csv_df">read_csv_df() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.read_json">read_json() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.read_json_df">read_json_df() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.read_parquet_df">read_parquet_df() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.read_text_as_list_of_strs">read_text_as_list_of_strs() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.recursive_dict_update">recursive_dict_update() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel">RegexModel (class in dataprofiler.labelers.regex_model)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor">RegexPostProcessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.AutoSubRegistrationMeta.register">register() (dataprofiler.labelers.base_model.AutoSubRegistrationMeta method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.AutoSubRegistrationMeta.register">(dataprofiler.labelers.data_processing.AutoSubRegistrationMeta method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.reload">reload() (dataprofiler.data_readers.avro_data.AVROData method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.reload">(dataprofiler.data_readers.base_data.BaseData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.reload">(dataprofiler.data_readers.csv_data.CSVData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.reload">(dataprofiler.data_readers.graph_data.GraphData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.reload">(dataprofiler.data_readers.json_data.JSONData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.reload">(dataprofiler.data_readers.parquet_data.ParquetData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.reload">(dataprofiler.data_readers.text_data.TextData method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.reload_labeler_from_options_or_get_new">reload_labeler_from_options_or_get_new() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.report">report() (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.report">(dataprofiler.profilers.base_column_profilers.BaseColumnProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.report">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.BaseCompiler.report">(dataprofiler.profilers.column_profile_compilers.BaseCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.report">(dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.report">(dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.report">(dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.report">(dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.report">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.report">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.report">(dataprofiler.profilers.float_column_profile.FloatColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler.report">(dataprofiler.profilers.graph_profiler.GraphProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.report">(dataprofiler.profilers.int_column_profile.IntColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.report">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.report">(dataprofiler.profilers.order_column_profile.OrderColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler.report">(dataprofiler.profilers.profile_builder.BaseProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler.report">(dataprofiler.profilers.profile_builder.StructuredColProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler.report">(dataprofiler.profilers.profile_builder.StructuredProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler.report">(dataprofiler.profilers.profile_builder.UnstructuredProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.report">(dataprofiler.profilers.text_column_profile.TextColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.report">(dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_text_profile.html#dataprofiler.profilers.unstructured_text_profile.TextProfiler.report">(dataprofiler.profilers.unstructured_text_profile.TextProfiler method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.utils.html#dataprofiler.labelers.utils.require_module">require_module() (in module dataprofiler.labelers.utils)</a>
+
+        <ul>
+          <li><a href="dataprofiler.reports.utils.html#dataprofiler.reports.utils.require_module">(in module dataprofiler.reports.utils)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.requires_zero_mapping">requires_zero_mapping (dataprofiler.labelers.base_model.BaseModel attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.requires_zero_mapping">(dataprofiler.labelers.base_model.BaseTrainableModel attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.requires_zero_mapping">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.requires_zero_mapping">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.requires_zero_mapping">(dataprofiler.labelers.column_name_model.ColumnNameModel attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.requires_zero_mapping">(dataprofiler.labelers.regex_model.RegexModel attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.reservoir">reservoir() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.reset_state">reset_state() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.reset_state">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.reset_states">reset_states() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.reset_states">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.reset_weights">reset_weights() (dataprofiler.labelers.base_model.BaseModel method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.reset_weights">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.reset_weights">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.reset_weights">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.reset_weights">(dataprofiler.labelers.column_name_model.ColumnNameModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.reset_weights">(dataprofiler.labelers.regex_model.RegexModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.result">result() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.result">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.reverse_label_mapping">reverse_label_mapping (dataprofiler.labelers.base_data_labeler.BaseDataLabeler property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.reverse_label_mapping">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.reverse_label_mapping">(dataprofiler.labelers.base_model.BaseModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.reverse_label_mapping">(dataprofiler.labelers.base_model.BaseTrainableModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.reverse_label_mapping">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.reverse_label_mapping">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.reverse_label_mapping">(dataprofiler.labelers.column_name_model.ColumnNameModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.reverse_label_mapping">(dataprofiler.labelers.data_labelers.StructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.reverse_label_mapping">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.reverse_label_mapping">(dataprofiler.labelers.regex_model.RegexModel property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.reverse_label_mapping">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.RowStatisticsOptions">RowStatisticsOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.rsample">rsample() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="S" class="genindex-section">
+  <h2>S</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.sample_nrows">sample_nrows (dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.sample_size">sample_size (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.sample_size">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.sample_size">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.sample_size">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.sample_size">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.sample_size">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.sample_size">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.sample_size">(dataprofiler.profilers.order_column_profile.OrderColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.sample_size">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.samples_per_line">samples_per_line (dataprofiler.data_readers.text_data.TextData property)</a>
+</li>
+        <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler.save">save() (dataprofiler.profilers.graph_profiler.GraphProfiler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler.save">(dataprofiler.profilers.profile_builder.BaseProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler.save">(dataprofiler.profilers.profile_builder.StructuredProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler.save">(dataprofiler.profilers.profile_builder.UnstructuredProfiler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.save_own_variables">save_own_variables() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.save_own_variables">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.save_to_disk">save_to_disk() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.save_to_disk">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.save_to_disk">(dataprofiler.labelers.base_model.BaseModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.save_to_disk">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.save_to_disk">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.save_to_disk">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.save_to_disk">(dataprofiler.labelers.column_name_model.ColumnNameModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.save_to_disk">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.save_to_disk">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.save_to_disk">(dataprofiler.labelers.data_processing.BaseDataPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.save_to_disk">(dataprofiler.labelers.data_processing.BaseDataPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.save_to_disk">(dataprofiler.labelers.data_processing.BaseDataProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.save_to_disk">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.save_to_disk">(dataprofiler.labelers.data_processing.CharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.save_to_disk">(dataprofiler.labelers.data_processing.CharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.save_to_disk">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.save_to_disk">(dataprofiler.labelers.data_processing.DirectPassPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.save_to_disk">(dataprofiler.labelers.data_processing.RegexPostProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.save_to_disk">(dataprofiler.labelers.data_processing.StructCharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.save_to_disk">(dataprofiler.labelers.data_processing.StructCharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.save_to_disk">(dataprofiler.labelers.data_processing.StructRegexPostProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.save_to_disk">(dataprofiler.labelers.regex_model.RegexModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.selected_columns">selected_columns (dataprofiler.data_readers.csv_data.CSVData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.selected_columns">(dataprofiler.data_readers.parquet_data.ParquetData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.selected_data_type">selected_data_type (dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler property)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.selected_keys">selected_keys (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.selected_keys">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseInspectorOptions.set">set() (dataprofiler.profilers.profiler_options.BaseInspectorOptions method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseOption.set">(dataprofiler.profilers.profiler_options.BaseOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BooleanOption.set">(dataprofiler.profilers.profiler_options.BooleanOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CategoricalOptions.set">(dataprofiler.profilers.profiler_options.CategoricalOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CorrelationOptions.set">(dataprofiler.profilers.profiler_options.CorrelationOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions.set">(dataprofiler.profilers.profiler_options.DataLabelerOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DateTimeOptions.set">(dataprofiler.profilers.profiler_options.DateTimeOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions.set">(dataprofiler.profilers.profiler_options.FloatOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.set">(dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HyperLogLogOptions.set">(dataprofiler.profilers.profiler_options.HyperLogLogOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions.set">(dataprofiler.profilers.profiler_options.IntOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ModeOption.set">(dataprofiler.profilers.profiler_options.ModeOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions.set">(dataprofiler.profilers.profiler_options.NumericalOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.OrderOptions.set">(dataprofiler.profilers.profiler_options.OrderOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.PrecisionOptions.set">(dataprofiler.profilers.profiler_options.PrecisionOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ProfilerOptions.set">(dataprofiler.profilers.profiler_options.ProfilerOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.RowStatisticsOptions.set">(dataprofiler.profilers.profiler_options.RowStatisticsOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions.set">(dataprofiler.profilers.profiler_options.StructuredOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions.set">(dataprofiler.profilers.profiler_options.TextOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextProfilerOptions.set">(dataprofiler.profilers.profiler_options.TextProfilerOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UniqueCountOptions.set">(dataprofiler.profilers.profiler_options.UniqueCountOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UnstructuredOptions.set">(dataprofiler.profilers.profiler_options.UnstructuredOptions method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.set_label_mapping">set_label_mapping() (dataprofiler.labelers.base_model.BaseModel method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.set_label_mapping">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.set_label_mapping">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.set_label_mapping">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.set_label_mapping">(dataprofiler.labelers.column_name_model.ColumnNameModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.set_label_mapping">(dataprofiler.labelers.regex_model.RegexModel method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_labels">set_labels() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_labels">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_labels">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_labels">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_model">set_model() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_model">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_model">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_model">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_params">set_params() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_params">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.set_params">(dataprofiler.labelers.base_model.BaseModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.set_params">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.set_params">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.set_params">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.set_params">(dataprofiler.labelers.column_name_model.ColumnNameModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_params">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_params">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.set_params">(dataprofiler.labelers.data_processing.BaseDataPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.set_params">(dataprofiler.labelers.data_processing.BaseDataPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.set_params">(dataprofiler.labelers.data_processing.BaseDataProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.set_params">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.set_params">(dataprofiler.labelers.data_processing.CharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.set_params">(dataprofiler.labelers.data_processing.CharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.set_params">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.set_params">(dataprofiler.labelers.data_processing.DirectPassPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.set_params">(dataprofiler.labelers.data_processing.RegexPostProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.set_params">(dataprofiler.labelers.data_processing.StructCharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.set_params">(dataprofiler.labelers.data_processing.StructCharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.set_params">(dataprofiler.labelers.data_processing.StructRegexPostProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.set_params">(dataprofiler.labelers.regex_model.RegexModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_postprocessor">set_postprocessor() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_postprocessor">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_postprocessor">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_postprocessor">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_preprocessor">set_preprocessor() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_preprocessor">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_preprocessor">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_preprocessor">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.html#dataprofiler.set_seed">set_seed() (in module dataprofiler)</a>
+</li>
+        <li><a href="dataprofiler.dp_logging.html#dataprofiler.dp_logging.set_verbosity">set_verbosity() (in module dataprofiler.dp_logging)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.set_weights">set_weights() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.set_weights">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.setdefault">setdefault() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.shuffle_in_chunks">shuffle_in_chunks() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.skewness">skewness (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.skewness">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.skewness">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.skewness">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.split_prediction">split_prediction() (dataprofiler.labelers.data_processing.RegexPostProcessor static method)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.structured_mixins.html#dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin">SpreadSheetDataMixin (class in dataprofiler.data_readers.structured_mixins)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.stateful">stateful (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.stateful">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.stddev">stddev (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.stddev">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.stddev">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.stddev">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor">StructCharPostprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor">StructCharPreprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor">StructRegexPostProcessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler">StructuredColProfiler (class in dataprofiler.profilers.profile_builder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler">StructuredDataLabeler (class in dataprofiler.labelers.data_labelers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions">StructuredOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler">StructuredProfiler (class in dataprofiler.profilers.profile_builder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.submodules">submodules (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.submodules">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.Subtractable">Subtractable (class in dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.suggest_pool_size">suggest_pool_size() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.sum">sum (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.sum_predictions">sum_predictions (dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.supports_masking">supports_masking (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.supports_masking">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="T" class="genindex-section">
+  <h2>T</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn">TextColumn (class in dataprofiler.profilers.text_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData">TextData (class in dataprofiler.data_readers.text_data)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions">TextOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.unstructured_text_profile.html#dataprofiler.profilers.unstructured_text_profile.TextProfiler">TextProfiler (class in dataprofiler.profilers.unstructured_text_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextProfilerOptions">TextProfilerOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.thread_safe">thread_safe (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.thread_safe">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.thread_safe">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.thread_safe">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.thread_safe">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.thread_safe">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.thread_safe">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.thread_safe">(dataprofiler.profilers.order_column_profile.OrderColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.thread_safe">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.times">times (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.times">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.times">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.times">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.times">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler.times">(dataprofiler.profilers.graph_profiler.GraphProfiler attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.times">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.times">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.times">(dataprofiler.profilers.order_column_profile.OrderColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.times">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.tokenize">tokenize() (dataprofiler.data_readers.text_data.TextData method)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.train_structured_labeler">train_structured_labeler() (in module dataprofiler.labelers.data_labelers)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.trainable">trainable (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.trainable">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.trainable_variables">trainable_variables (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.trainable_variables">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.trainable_weights">trainable_weights (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.trainable_weights">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler">TrainableDataLabeler (class in dataprofiler.labelers.base_data_labeler)</a>
+</li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.type">type (dataprofiler.profilers.categorical_column_profile.CategoricalColumn attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.type">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.type">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.type">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.type">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.type">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.type">(dataprofiler.profilers.order_column_profile.OrderColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.type">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.type">(dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_text_profile.html#dataprofiler.profilers.unstructured_text_profile.TextProfiler.type">(dataprofiler.profilers.unstructured_text_profile.TextProfiler attribute)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="U" class="genindex-section">
+  <h2>U</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unalikeability">unalikeability (dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.unicode_to_str">unicode_to_str() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unique_count">unique_count (dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unique_ratio">unique_ratio (dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UniqueCountOptions">UniqueCountOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler">UnstructuredCompiler (class in dataprofiler.profilers.column_profile_compilers)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler">UnstructuredDataLabeler (class in dataprofiler.labelers.data_labelers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile">UnstructuredLabelerProfile (class in dataprofiler.profilers.unstructured_labeler_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UnstructuredOptions">UnstructuredOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler">UnstructuredProfiler (class in dataprofiler.profilers.profile_builder)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.update">update() (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.update">(dataprofiler.profilers.base_column_profilers.BaseColumnProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.update">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.update">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.update">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.update">(dataprofiler.profilers.float_column_profile.FloatColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler.update">(dataprofiler.profilers.graph_profiler.GraphProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.update">(dataprofiler.profilers.int_column_profile.IntColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.update">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.update">(dataprofiler.profilers.order_column_profile.OrderColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.update">(dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.update">(dataprofiler.profilers.text_column_profile.TextColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.update">(dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_text_profile.html#dataprofiler.profilers.unstructured_text_profile.TextProfiler.update">(dataprofiler.profilers.unstructured_text_profile.TextProfiler method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler.update_column_profilers">update_column_profilers() (dataprofiler.profilers.profile_builder.StructuredColProfiler method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.BaseCompiler.update_profile">update_profile() (dataprofiler.profilers.column_profile_compilers.BaseCompiler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.update_profile">(dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.update_profile">(dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.update_profile">(dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.update_profile">(dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler.update_profile">(dataprofiler.profilers.profile_builder.BaseProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler.update_profile">(dataprofiler.profilers.profile_builder.StructuredColProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler.update_profile">(dataprofiler.profilers.profile_builder.StructuredProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler.update_profile">(dataprofiler.profilers.profile_builder.UnstructuredProfiler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.update_state">update_state() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.update_state">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.updates">updates (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.updates">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.url_to_bytes">url_to_bytes() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.user_set_histogram_bin">user_set_histogram_bin (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="V" class="genindex-section">
+  <h2>V</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseInspectorOptions.validate">validate() (dataprofiler.profilers.profiler_options.BaseInspectorOptions method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseOption.validate">(dataprofiler.profilers.profiler_options.BaseOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BooleanOption.validate">(dataprofiler.profilers.profiler_options.BooleanOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CategoricalOptions.validate">(dataprofiler.profilers.profiler_options.CategoricalOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CorrelationOptions.validate">(dataprofiler.profilers.profiler_options.CorrelationOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions.validate">(dataprofiler.profilers.profiler_options.DataLabelerOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DateTimeOptions.validate">(dataprofiler.profilers.profiler_options.DateTimeOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions.validate">(dataprofiler.profilers.profiler_options.FloatOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.validate">(dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HyperLogLogOptions.validate">(dataprofiler.profilers.profiler_options.HyperLogLogOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions.validate">(dataprofiler.profilers.profiler_options.IntOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ModeOption.validate">(dataprofiler.profilers.profiler_options.ModeOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions.validate">(dataprofiler.profilers.profiler_options.NumericalOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.OrderOptions.validate">(dataprofiler.profilers.profiler_options.OrderOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.PrecisionOptions.validate">(dataprofiler.profilers.profiler_options.PrecisionOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ProfilerOptions.validate">(dataprofiler.profilers.profiler_options.ProfilerOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.RowStatisticsOptions.validate">(dataprofiler.profilers.profiler_options.RowStatisticsOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions.validate">(dataprofiler.profilers.profiler_options.StructuredOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions.validate">(dataprofiler.profilers.profiler_options.TextOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextProfilerOptions.validate">(dataprofiler.profilers.profiler_options.TextProfilerOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UniqueCountOptions.validate">(dataprofiler.profilers.profiler_options.UniqueCountOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UnstructuredOptions.validate">(dataprofiler.profilers.profiler_options.UnstructuredOptions method)</a>
+</li>
+          <li><a href="dataprofiler.validators.base_validators.html#dataprofiler.validators.base_validators.Validator.validate">(dataprofiler.validators.base_validators.Validator method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.validators.base_validators.html#dataprofiler.validators.base_validators.Validator">Validator (class in dataprofiler.validators.base_validators)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.values">values() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.variable_dtype">variable_dtype (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.variable_dtype">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.variables">variables (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.variables">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.variance">variance (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.variance">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.variance">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.variance">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="W" class="genindex-section">
+  <h2>W</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.utils.html#dataprofiler.labelers.utils.warn_missing_module">warn_missing_module() (in module dataprofiler.labelers.utils)</a>
+
+        <ul>
+          <li><a href="dataprofiler.reports.utils.html#dataprofiler.reports.utils.warn_missing_module">(in module dataprofiler.reports.utils)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.warn_on_profile">warn_on_profile() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.weights">weights (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.weights">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.with_name_scope">with_name_scope() (dataprofiler.labelers.labeler_utils.F1Score class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.with_name_scope">(dataprofiler.labelers.labeler_utils.FBetaScore class method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/graph_data_demo.html b/docs/0.10.5/html/graph_data_demo.html
new file mode 100644
index 000000000..d89332efc
--- /dev/null
+++ b/docs/0.10.5/html/graph_data_demo.html
@@ -0,0 +1,709 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Sensitive Data Detection with the Labeler" href="labeler.html" /><link rel="prev" title="Unstructured Profilers" href="unstructured_profiler_example.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Graph Pipeline Demo - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/graph_data_demo.nblink">View this notebook on GitHub</a></p>
+<section id="Graph-Pipeline-Demo">
+<h1>Graph Pipeline Demo<a class="headerlink" href="#Graph-Pipeline-Demo" title="Permalink to this headline">¶</a></h1>
+<p>DataProfiler can also load and profile graph datasets. Similarly to the rest of DataProfiler profilers, this is split into two components: - GraphData - GraphProfiler</p>
+<p>We will demo the use of this graph pipeline.</p>
+<p>First, let’s import the libraries needed for this example.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+<span class="kn">import</span> <span class="nn">pprint</span>
+
+<span class="k">try</span><span class="p">:</span>
+    <span class="n">sys</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="s1">'..'</span><span class="p">)</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">data_path</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data"</span>
+</pre></div>
+</div>
+</div>
+<p>We now input our dataset into the generic DataProfiler pipeline:</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"csv/graph_data_csv_identify.csv"</span><span class="p">))</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">()</span>
+
+<span class="n">pp</span> <span class="o">=</span> <span class="n">pprint</span><span class="o">.</span><span class="n">PrettyPrinter</span><span class="p">(</span><span class="n">sort_dicts</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">compact</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">pp</span><span class="o">.</span><span class="n">pprint</span><span class="p">(</span><span class="n">report</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<p>We notice that the <code class="docutils literal notranslate"><span class="pre">Data</span></code> class automatically detected the input file as graph data. The <code class="docutils literal notranslate"><span class="pre">GraphData</span></code> class is able to differentiate between tabular and graph csv data. After <code class="docutils literal notranslate"><span class="pre">Data</span></code> matches the input file as graph data, <code class="docutils literal notranslate"><span class="pre">GraphData</span></code> does the necessary work to load the csv data into a NetworkX Graph.</p>
+<p><code class="docutils literal notranslate"><span class="pre">Profiler</span></code> runs <code class="docutils literal notranslate"><span class="pre">GraphProfiler</span></code> when graph data is input (or when <code class="docutils literal notranslate"><span class="pre">data_type="graph"</span></code> is specified). The <code class="docutils literal notranslate"><span class="pre">report()</span></code> function outputs the profile for the user.</p>
+<section id="Profile">
+<h2>Profile<a class="headerlink" href="#Profile" title="Permalink to this headline">¶</a></h2>
+<p>The profile skeleton looks like this:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>profile = {
+    "num_nodes": ...,
+    "num_edges": ...,
+    "categorical_attributes": ...,
+    "continuous_attributes": ...,
+    "avg_node_degree": ...,
+    "global_max_component_size": ...,
+    "continuous_distribution": ...,
+    "categorical_distribution": ...,
+    "times": ...,
+}
+</pre></div>
+</div>
+<p>Description of properties in profile: - <code class="docutils literal notranslate"><span class="pre">num_nodes</span></code>: number of nodes in the graph - <code class="docutils literal notranslate"><span class="pre">num_edges</span></code>: number of edges in the graph - <code class="docutils literal notranslate"><span class="pre">categorical_attributes</span></code>: list of categorical edge attributes - <code class="docutils literal notranslate"><span class="pre">continuous_attributes</span></code>: list of continuous edge attributes - <code class="docutils literal notranslate"><span class="pre">avg_node_degree</span></code>: average degree of nodes in the graph - <code class="docutils literal notranslate"><span class="pre">global_max_component_size</span></code>: size of largest global max component in the graph - <code class="docutils literal notranslate"><span class="pre">continuous_distribution</span></code>: dictionary of statistical properties for each continuous attribute
+- <code class="docutils literal notranslate"><span class="pre">categorical_distribution</span></code>: dictionary of statistical properties for each categorical attribute</p>
+<p>The <code class="docutils literal notranslate"><span class="pre">continuous_distribution</span></code> and <code class="docutils literal notranslate"><span class="pre">categorical_distribution</span></code> dictionaries list statistical properties for each edge attribute in the graph:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>continuous_distribution = {
+    "name": ...,
+    "scale": ...,
+    "properties": ...,
+}
+</pre></div>
+</div>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>categorical_distribution = {
+    "bin_counts": ...,
+    "bin_edges": ...,
+}
+</pre></div>
+</div>
+<p>Description of each attribute: - Continuous distribution: - <code class="docutils literal notranslate"><span class="pre">name</span></code>: name of the distribution - <code class="docutils literal notranslate"><span class="pre">scale</span></code>: negative log likelihood used to scale distributions and compare them in <code class="docutils literal notranslate"><span class="pre">GraphProfiler</span></code> - <code class="docutils literal notranslate"><span class="pre">properties</span></code>: list of distribution props - Categorical distribution: - <code class="docutils literal notranslate"><span class="pre">bin_counts</span></code>: histogram bin counts - <code class="docutils literal notranslate"><span class="pre">bin_edges</span></code>: histogram bin edges</p>
+<p><code class="docutils literal notranslate"><span class="pre">properties</span></code> lists the following distribution properties: [optional: shape, loc, scale, mean, variance, skew, kurtosis]. The list can be either 6 length or 7 length depending on the distribution (extra shape parameter): - 6 length: norm, uniform, expon, logistic - 7 length: gamma, lognorm - gamma: shape=<code class="docutils literal notranslate"><span class="pre">a</span></code> (float) - lognorm: shape=<code class="docutils literal notranslate"><span class="pre">s</span></code> (float)</p>
+<p>For more information on shape parameters <code class="docutils literal notranslate"><span class="pre">a</span></code> and <code class="docutils literal notranslate"><span class="pre">s</span></code>: <a class="reference external" href="https://docs.scipy.org/doc/scipy/tutorial/stats.html#shape-parameters">https://docs.scipy.org/doc/scipy/tutorial/stats.html#shape-parameters</a></p>
+</section>
+<section id="Saving-and-Loading-a-Profile">
+<h2>Saving and Loading a Profile<a class="headerlink" href="#Saving-and-Loading-a-Profile" title="Permalink to this headline">¶</a></h2>
+<p>Below you will see an example of how a Graph Profile can be saved and loaded again.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># The default save filepath is profile-&lt;datetime&gt;.pkl</span>
+<span class="n">profile</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s2">"profile.pkl"</span><span class="p">)</span>
+
+<span class="n">new_profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">GraphProfiler</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s2">"profile.pkl"</span><span class="p">)</span>
+<span class="n">new_report</span> <span class="o">=</span> <span class="n">new_profile</span><span class="o">.</span><span class="n">report</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">pp</span><span class="o">.</span><span class="n">pprint</span><span class="p">(</span><span class="n">report</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Difference-in-Data">
+<h2>Difference in Data<a class="headerlink" href="#Difference-in-Data" title="Permalink to this headline">¶</a></h2>
+<p>If we wanted to ensure that this new profile was the same as the previous profile that we loaded, we could compare them using the diff functionality.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">diff</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">new_profile</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">pp</span><span class="o">.</span><span class="n">pprint</span><span class="p">(</span><span class="n">diff</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<p>Another use for diff might be to provide differences between training and testing profiles as shown in the cell below. We will use the profile above as the training profile and create a new profile to represent the testing profile</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">training_profile</span> <span class="o">=</span> <span class="n">profile</span>
+
+<span class="n">testing_data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"csv/graph-differentiator-input-positive.csv"</span><span class="p">))</span>
+<span class="n">testing_profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">testing_data</span><span class="p">)</span>
+
+<span class="n">test_train_diff</span> <span class="o">=</span> <span class="n">training_profile</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">testing_profile</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<p>Below you can observe the difference between the two profiles.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">pp</span><span class="o">.</span><span class="n">pprint</span><span class="p">(</span><span class="n">test_train_diff</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Conclusion">
+<h2>Conclusion<a class="headerlink" href="#Conclusion" title="Permalink to this headline">¶</a></h2>
+<p>We have shown the graph pipeline in the DataProfiler. It works similarly to the current DataProfiler implementation.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="labeler.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Sensitive Data Detection with the Labeler</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="unstructured_profiler_example.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Unstructured Profilers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/graph_data_demo.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Graph Pipeline Demo</a><ul>
+<li><a class="reference internal" href="#Profile">Profile</a></li>
+<li><a class="reference internal" href="#Saving-and-Loading-a-Profile">Saving and Loading a Profile</a></li>
+<li><a class="reference internal" href="#Difference-in-Data">Difference in Data</a></li>
+<li><a class="reference internal" href="#Conclusion">Conclusion</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/graph_data_demo.ipynb b/docs/0.10.5/html/graph_data_demo.ipynb
new file mode 100644
index 000000000..088612872
--- /dev/null
+++ b/docs/0.10.5/html/graph_data_demo.ipynb
@@ -0,0 +1,271 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Graph Pipeline Demo"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "DataProfiler can also load and profile graph datasets. Similarly to the rest of DataProfiler profilers, this is split into two components:\n",
+    "- GraphData\n",
+    "- GraphProfiler\n",
+    "\n",
+    "We will demo the use of this graph pipeline.\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import pprint\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We now input our dataset into the generic DataProfiler pipeline:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/graph_data_csv_identify.csv\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "report = profile.report()\n",
+    "\n",
+    "pp = pprint.PrettyPrinter(sort_dicts=False, compact=True)\n",
+    "pp.pprint(report)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We notice that the `Data` class automatically detected the input file as graph data. The `GraphData` class is able to differentiate between tabular and graph csv data. After `Data` matches the input file as graph data, `GraphData` does the necessary work to load the csv data into a NetworkX Graph. \n",
+    "\n",
+    "`Profiler` runs `GraphProfiler` when graph data is input (or when `data_type=\"graph\"` is specified). The `report()` function outputs the profile for the user."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Profile"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The profile skeleton looks like this:\n",
+    "```\n",
+    "profile = {\n",
+    "    \"num_nodes\": ...,\n",
+    "    \"num_edges\": ...,\n",
+    "    \"categorical_attributes\": ...,\n",
+    "    \"continuous_attributes\": ...,\n",
+    "    \"avg_node_degree\": ...,\n",
+    "    \"global_max_component_size\": ...,\n",
+    "    \"continuous_distribution\": ...,\n",
+    "    \"categorical_distribution\": ...,\n",
+    "    \"times\": ...,\n",
+    "}\n",
+    "```\n",
+    "\n",
+    "Description of properties in profile:\n",
+    "- `num_nodes`: number of nodes in the graph\n",
+    "- `num_edges`: number of edges in the graph\n",
+    "- `categorical_attributes`: list of categorical edge attributes\n",
+    "- `continuous_attributes`: list of continuous edge attributes\n",
+    "- `avg_node_degree`: average degree of nodes in the graph\n",
+    "- `global_max_component_size`: size of largest global max component in the graph\n",
+    "- `continuous_distribution`: dictionary of statistical properties for each continuous attribute\n",
+    "- `categorical_distribution`: dictionary of statistical properties for each categorical attribute\n",
+    "\n",
+    "The `continuous_distribution` and `categorical_distribution` dictionaries list statistical properties for each edge attribute in the graph:\n",
+    "```\n",
+    "continuous_distribution = {\n",
+    "    \"name\": ...,\n",
+    "    \"scale\": ...,\n",
+    "    \"properties\": ...,\n",
+    "}\n",
+    "```\n",
+    "```\n",
+    "categorical_distribution = {\n",
+    "    \"bin_counts\": ...,\n",
+    "    \"bin_edges\": ...,\n",
+    "}\n",
+    "```\n",
+    "Description of each attribute:\n",
+    "- Continuous distribution:\n",
+    "    - `name`: name of the distribution\n",
+    "    - `scale`: negative log likelihood used to scale distributions and compare them in `GraphProfiler`\n",
+    "    - `properties`: list of distribution props\n",
+    "- Categorical distribution:\n",
+    "    - `bin_counts`: histogram bin counts\n",
+    "    - `bin_edges`: histogram bin edges\n",
+    "\n",
+    "`properties` lists the following distribution properties: [optional: shape, loc, scale, mean, variance, skew, kurtosis]. The list can be either 6 length or 7 length depending on the distribution (extra shape parameter):\n",
+    "- 6 length: norm, uniform, expon, logistic\n",
+    "- 7 length: gamma, lognorm\n",
+    "    - gamma: shape=`a` (float)\n",
+    "    - lognorm: shape=`s` (float)\n",
+    "    \n",
+    "For more information on shape parameters `a` and `s`: https://docs.scipy.org/doc/scipy/tutorial/stats.html#shape-parameters"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Profile\n",
+    "Below you will see an example of how a Graph Profile can be saved and loaded again."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# The default save filepath is profile-<datetime>.pkl\n",
+    "profile.save(filepath=\"profile.pkl\")\n",
+    "\n",
+    "new_profile = dp.GraphProfiler.load(\"profile.pkl\")\n",
+    "new_report = new_profile.report()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pp.pprint(report)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Difference in Data\n",
+    "If we wanted to ensure that this new profile was the same as the previous profile that we loaded, we could compare them using the diff functionality."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "diff = profile.diff(new_profile)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pp.pprint(diff)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Another use for diff might be to provide differences between training and testing profiles as shown in the cell below.\n",
+    "We will use the profile above as the training profile and create a new profile to represent the testing profile"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "training_profile = profile\n",
+    "\n",
+    "testing_data = dp.Data(os.path.join(data_path, \"csv/graph-differentiator-input-positive.csv\"))\n",
+    "testing_profile = dp.Profiler(testing_data)\n",
+    "\n",
+    "test_train_diff = training_profile.diff(testing_profile)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Below you can observe the difference between the two profiles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pp.pprint(test_train_diff)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Conclusion"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We have shown the graph pipeline in the DataProfiler. It works similarly to the current DataProfiler implementation."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/0.10.5/html/graphs.html b/docs/0.10.5/html/graphs.html
new file mode 100644
index 000000000..2bf0b706e
--- /dev/null
+++ b/docs/0.10.5/html/graphs.html
@@ -0,0 +1,488 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Examples" href="examples.html" /><link rel="prev" title="Labeler (Sensitive Data)" href="data_labeling.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Graphs - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="graphs">
+<span id="reports"></span><h1>Graphs<a class="headerlink" href="#graphs" title="Permalink to this headline">¶</a></h1>
+<section id="graph-your-data">
+<h2>Graph Your Data<a class="headerlink" href="#graph-your-data" title="Permalink to this headline">¶</a></h2>
+<p>We can plot some of our data as seaborn histogram plots. Below will demonstrate how to do so and provide examples.</p>
+<p>The following plots are currently available to work directly with your profilers:</p>
+<blockquote>
+<div><ul class="simple">
+<li><p>histogram (numeric columns only)</p></li>
+<li><p>missing values matrix</p></li>
+</ul>
+</div></blockquote>
+<p>Below shows how to do so with examples.</p>
+<section id="what-we-need-to-import">
+<h3>What we need to import<a class="headerlink" href="#what-we-need-to-import" title="Permalink to this headline">¶</a></h3>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">dataprofiler.reports</span> <span class="kn">import</span> <span class="n">graphs</span>
+</pre></div>
+</div>
+<p>The main functions that is used to plot histograms are in graphs. <strong>You will also need the `dataprofiler[reports]` requirement to be installed</strong>:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip install 'dataprofiler[reports]'</span>
+</pre></div>
+</div>
+</section>
+<section id="plotting-from-a-structuredprofiler-class">
+<h3>Plotting from a StructuredProfiler class<a class="headerlink" href="#plotting-from-a-structuredprofiler-class" title="Permalink to this headline">¶</a></h3>
+<p>With a StructuredProfiler class variable, we can specify what columns we want to be plotted, and plot them into histograms.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">graphs</span><span class="o">.</span><span class="n">plot_histograms</span><span class="p">(</span><span class="n">profiler</span><span class="p">,</span> <span class="n">column_names</span><span class="p">,</span> <span class="n">column_inds</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>These are what the variables mean:</p>
+<blockquote>
+<div><ul class="simple">
+<li><p><strong>profiler</strong> - StructuredProfiler class variable that contains the data we want</p></li>
+<li><p><strong>columns</strong> - (Optional) The list of IntColumn or FloatColumn <em>names</em> we want to specifically plot. If specified, <cite>column_inds</cite> cannot be specified.</p></li>
+<li><p><strong>column_inds</strong> - (Optional) The list of IntColumn or FloatColumn <em>indexes</em> we want to specifically plot. If specified, <cite>column_names</cite> cannot be specified.</p></li>
+</ul>
+</div></blockquote>
+<p>Additionally, we can also plot the missing values matrix for a StructuredProfiler:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">graphs</span><span class="o">.</span><span class="n">plot_missing_values_matrix</span><span class="p">(</span><span class="n">profiler</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="n">title</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>These are what the variables mean:</p>
+<blockquote>
+<div><ul class="simple">
+<li><p><strong>profiler</strong> - StructuredProfiler class variable that contains the data we want</p></li>
+<li><p><strong>ax</strong> - (Optional) MatPlotLib Axes to plot the matrix within.</p></li>
+<li><p><strong>title</strong> - (Optional) The title of the axes we want to define.</p></li>
+</ul>
+</div></blockquote>
+</section>
+<section id="plotting-an-individual-intcolumn-or-floatcolumn">
+<h3>Plotting an individual IntColumn or FloatColumn<a class="headerlink" href="#plotting-an-individual-intcolumn-or-floatcolumn" title="Permalink to this headline">¶</a></h3>
+<p>With a column’s Int or Float profile, we can plot their respective histograms.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">graphs</span><span class="o">.</span><span class="n">plot_col_histogram</span><span class="p">(</span><span class="n">column</span><span class="p">,</span> <span class="n">axes</span><span class="p">,</span> <span class="n">title</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>These are what the variables mean:</p>
+<blockquote>
+<div><ul class="simple">
+<li><p><strong>column</strong> - The IntColumn or FloatColumn we want to plot</p></li>
+<li><p><strong>axes</strong> - (Optional) The MatPlotLib Axes to plot the histogram within.</p></li>
+<li><p><strong>title</strong> - (Optional) The title of the axes we want to define.</p></li>
+</ul>
+</div></blockquote>
+<p>Additionally, we can also plot the missing values bargraph for any column profile:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">graphs</span><span class="o">.</span><span class="n">plot_col_missing_values</span><span class="p">(</span><span class="n">profiler</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="n">title</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>These are what the variables mean:</p>
+<blockquote>
+<div><ul class="simple">
+<li><p><strong>profiler</strong> - The StructuredColProfiler we want to plot</p></li>
+<li><p><strong>ax</strong> - (Optional) MatPlotLib Axes to plot the matrix within.</p></li>
+<li><p><strong>title</strong> - (Optional) The title of the axes we want to define.</p></li>
+</ul>
+</div></blockquote>
+</section>
+<section id="examples">
+<h3>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">¶</a></h3>
+<section id="histograms">
+<h4>Histograms<a class="headerlink" href="#histograms" title="Permalink to this headline">¶</a></h4>
+<ol class="arabic simple">
+<li><p>This example demonstrates how we can take a StructuredProfiler class and plot histograms of the specified columns.</p></li>
+</ol>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.reports</span> <span class="kn">import</span> <span class="n">graphs</span>
+
+
+<span class="n">data</span> <span class="o">=</span> <span class="p">[[</span><span class="mi">1</span><span class="p">,</span> <span class="s1">'a'</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">],</span>
+        <span class="p">[</span><span class="mi">2</span><span class="p">,</span> <span class="s1">'b'</span><span class="p">,</span> <span class="mf">2.2</span><span class="p">],</span>
+        <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="s1">'c'</span><span class="p">,</span> <span class="mf">3.5</span><span class="p">],</span>
+        <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="s1">'d'</span><span class="p">,</span> <span class="mf">10.0</span><span class="p">]]</span>
+<span class="n">profiler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">StructuredProfiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># This will plot all IntColumn and FloatColumn as histograms (The first and last column).</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">graphs</span><span class="o">.</span><span class="n">plot_histograms</span><span class="p">(</span><span class="n">profiler</span><span class="p">)</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+
+<span class="c1"># This will only plot the specified column, 0.</span>
+<span class="n">columns_names</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">graphs</span><span class="o">.</span><span class="n">plot_histograms</span><span class="p">(</span><span class="n">profiler</span><span class="p">,</span> <span class="n">columns_names</span><span class="p">)</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+<img alt="First Histogram Example Image" src="_images/histogram_example_0.png"/>
+<img alt="Second Histogram Example Image" src="_images/histogram_example_1.png"/>
+<ol class="arabic simple" start="2">
+<li><p>This example demonstrates how we can plot a low level profiler.</p></li>
+</ol>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+
+<span class="kn">from</span> <span class="nn">dataprofiler.profilers</span> <span class="kn">import</span> <span class="n">IntColumn</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.reports</span> <span class="kn">import</span> <span class="n">graphs</span>
+
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">str</span><span class="p">)</span>
+<span class="n">profiler</span> <span class="o">=</span> <span class="n">IntColumn</span><span class="p">(</span><span class="s1">'example'</span><span class="p">)</span>
+<span class="n">profiler</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Plot the axes</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">graphs</span><span class="o">.</span><span class="n">plot_col_histogram</span><span class="p">(</span><span class="n">profiler</span><span class="p">)</span>
+
+<span class="c1"># get and show the figure of the plotted histogram</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_figure</span><span class="p">()</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+<img alt="Histogram Column Only Example Image" src="_images/histogram_example_2.png"/>
+</section>
+<section id="missing-values-matrix">
+<h4>Missing Values Matrix<a class="headerlink" href="#missing-values-matrix" title="Permalink to this headline">¶</a></h4>
+<ol class="arabic simple">
+<li><p>This example demonstrates how we can take a StructuredProfiler class and plot a missing values matrix.</p></li>
+</ol>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.reports</span> <span class="kn">import</span> <span class="n">graphs</span>
+
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
+    <span class="p">[[</span><span class="kc">None</span><span class="p">,</span> <span class="s1">''</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="s1">'1/2/2021'</span><span class="p">],</span>
+     <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="mf">3.5</span><span class="p">,</span> <span class="s1">''</span><span class="p">],</span>
+     <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="s1">'2/5/2020'</span><span class="p">],</span>
+     <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mf">10.0</span><span class="p">,</span> <span class="s1">'3/5/2020'</span><span class="p">]],</span>
+    <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'integer'</span><span class="p">,</span> <span class="s1">'str'</span><span class="p">,</span> <span class="s1">'float'</span><span class="p">,</span> <span class="s1">'datetime'</span><span class="p">],</span>
+    <span class="n">dtype</span><span class="o">=</span><span class="nb">object</span>
+<span class="p">)</span>
+<span class="n">profiler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">StructuredProfiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># This will plot the missing values matrix for all columns.</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">graphs</span><span class="o">.</span><span class="n">plot_missing_values_matrix</span><span class="p">(</span><span class="n">profiler</span><span class="p">)</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+<img alt="Missing Values Matrix Example Image" src="_images/missing_value_matrix_example_0.png"/>
+<ol class="arabic simple" start="2">
+<li><p>This example demonstrates how we can plot barchart of a column’s missing values.</p></li>
+</ol>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+
+<span class="kn">from</span> <span class="nn">dataprofiler.profilers.profile_builder</span> <span class="kn">import</span> <span class="n">StructuredColProfiler</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.reports</span> <span class="kn">import</span> <span class="n">graphs</span>
+
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="mi">4</span><span class="p">],</span> <span class="n">name</span><span class="o">=</span><span class="s1">'example'</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">str</span><span class="p">)</span>
+<span class="n">profiler</span> <span class="o">=</span> <span class="n">StructuredColProfiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Plot the axes, can be a list of multiple columns</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">graphs</span><span class="o">.</span><span class="n">plot_col_missing_values</span><span class="p">([</span><span class="n">profiler</span><span class="p">])</span>
+
+<span class="c1"># get and show the figure of the plotted histogram</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_figure</span><span class="p">()</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+<img alt="Missing Values Column Only Example Image" src="_images/missing_value_barchart_example_0.png"/>
+</section>
+</section>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="examples.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Examples</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="data_labeling.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Labeler (Sensitive Data)</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/graphs.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Graphs</a><ul>
+<li><a class="reference internal" href="#graph-your-data">Graph Your Data</a><ul>
+<li><a class="reference internal" href="#what-we-need-to-import">What we need to import</a></li>
+<li><a class="reference internal" href="#plotting-from-a-structuredprofiler-class">Plotting from a StructuredProfiler class</a></li>
+<li><a class="reference internal" href="#plotting-an-individual-intcolumn-or-floatcolumn">Plotting an individual IntColumn or FloatColumn</a></li>
+<li><a class="reference internal" href="#examples">Examples</a><ul>
+<li><a class="reference internal" href="#histograms">Histograms</a></li>
+<li><a class="reference internal" href="#missing-values-matrix">Missing Values Matrix</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/index.html b/docs/0.10.5/html/index.html
new file mode 100644
index 000000000..cfee16638
--- /dev/null
+++ b/docs/0.10.5/html/index.html
@@ -0,0 +1,746 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Install" href="install.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Home - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="#"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="#">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul class="current">
+<li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="data-profiler-what-s-in-your-data">
+<span id="data-profiler"></span><h1>Data Profiler | What’s in your data?<a class="headerlink" href="#data-profiler-what-s-in-your-data" title="Permalink to this headline">¶</a></h1>
+<section id="purpose">
+<h2>Purpose<a class="headerlink" href="#purpose" title="Permalink to this headline">¶</a></h2>
+<p>The DataProfiler is a Python library designed to make data analysis, monitoring and <strong>sensitive data detection</strong> easy.</p>
+<p>Loading <strong>Data</strong> with a single command, the library automatically formats &amp; loads files into a DataFrame. <strong>Profiling</strong> the Data, the library identifies the schema, statistics, entities and more. Data Profiles can then be used in downstream applications or reports.</p>
+<p>The Data Profiler comes with a cutting edge pre-trained deep learning model, used to efficiently identify <strong>sensitive data</strong> (or <strong>PII</strong>). If customization is needed, it’s easy to add new entities to the existing pre-trained model or insert a new pipeline for entity recognition.</p>
+<p>The best part? Getting started only takes a few lines of code (<a class="reference external" href="https://raw.githubusercontent.com/capitalone/DataProfiler/main/dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv">Example CSV</a>):</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span> <span class="c1"># Auto-Detect &amp; Load: CSV, AVRO, Parquet, JSON, Text</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">5</span><span class="p">))</span> <span class="c1"># Access data directly via a compatible Pandas DataFrame</span>
+
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span> <span class="c1"># Calculate Statistics, Entity Recognition, etc</span>
+<span class="n">readable_report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">readable_report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>To install the full package from pypi:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip install DataProfiler[ml]</span>
+</pre></div>
+</div>
+<p>If the ML requirements are too strict (say, you don’t want to install tensorflow), you can install a slimmer package. The slimmer package disables the default sensitive data detection / entity recognition (labler)</p>
+<p>Install from pypi:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip install DataProfiler</span>
+</pre></div>
+</div>
+<p>If you have suggestions or find a bug, please open an <a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">issue</a>.</p>
+<p>Visit the <a class="reference internal" href="API.html#api"><span class="std std-ref">API</span></a> to explore Data Profiler’s terminology.</p>
+</section>
+<section id="what-is-a-data-profile">
+<h2>What is a Data Profile?<a class="headerlink" href="#what-is-a-data-profile" title="Permalink to this headline">¶</a></h2>
+<p>In the case of this library, a data profile is a dictionary containing statistics and predictions about the underlying dataset. There are “global statistics” or <cite>global_stats</cite>, which contain dataset level data and there are “column/row level statistics” or <cite>data_stats</cite> (each column is a new key-value entry).</p>
+<p>The format for a structured profile is below:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="s2">"global_stats"</span><span class="p">:</span> <span class="p">{</span>
+    <span class="s2">"samples_used"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+    <span class="s2">"column_count"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+    <span class="s2">"row_count"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+    <span class="s2">"row_has_null_ratio"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+    <span class="s2">"row_is_null_ratio"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+    <span class="s2">"unique_row_ratio"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+    <span class="s2">"duplicate_row_count"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+    <span class="s2">"file_type"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+    <span class="s2">"encoding"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+    <span class="s2">"correlation_matrix"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span> <span class="p">(</span><span class="o">*</span><span class="p">)</span>
+    <span class="s2">"chi2_matrix"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">]],</span>
+    <span class="s2">"profile_schema"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">]]</span>
+<span class="p">},</span>
+<span class="s2">"data_stats"</span><span class="p">:</span> <span class="p">[</span>
+    <span class="p">{</span>
+        <span class="s2">"column_name"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+        <span class="s2">"data_type"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+        <span class="s2">"data_label"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+        <span class="s2">"categorical"</span><span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
+        <span class="s2">"order"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+        <span class="s2">"samples"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span>
+        <span class="s2">"statistics"</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s2">"sample_size"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s2">"null_count"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s2">"null_types"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="n">string</span><span class="p">],</span>
+            <span class="s2">"null_types_index"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
+            <span class="s2">"data_type_representation"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">list</span><span class="p">[</span><span class="n">string</span><span class="p">]],</span>
+            <span class="s2">"min"</span><span class="p">:</span> <span class="p">[</span><span class="n">null</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"max"</span><span class="p">:</span> <span class="p">[</span><span class="n">null</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"sum"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"mode"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"median"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"median_absolute_deviation"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"mean"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"variance"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"stddev"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"skewness"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"kurtosis"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"num_zeros"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s2">"num_negatives"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s2">"histogram"</span><span class="p">:</span> <span class="p">{</span>
+                <span class="s2">"bin_counts"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
+                <span class="s2">"bin_edges"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span>
+            <span class="p">},</span>
+            <span class="s2">"quantiles"</span><span class="p">:</span> <span class="p">{</span>
+                <span class="nb">int</span><span class="p">:</span> <span class="nb">float</span>
+            <span class="p">},</span>
+            <span class="s2">"vocab"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="n">char</span><span class="p">],</span>
+            <span class="s2">"avg_predictions"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"data_label_representation"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"categories"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span>
+            <span class="s2">"unique_count"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s2">"unique_ratio"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"categorical_count"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span>
+            <span class="s2">"gini_impurity"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"unalikeability"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"precision"</span><span class="p">:</span> <span class="p">{</span>
+                <span class="s1">'min'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+                <span class="s1">'max'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+                <span class="s1">'mean'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+                <span class="s1">'var'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+                <span class="s1">'std'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+                <span class="s1">'sample_size'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+                <span class="s1">'margin_of_error'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+                <span class="s1">'confidence_level'</span><span class="p">:</span> <span class="nb">float</span>
+            <span class="p">},</span>
+            <span class="s2">"times"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"format"</span><span class="p">:</span> <span class="n">string</span>
+        <span class="p">},</span>
+        <span class="s2">"null_replication_metrics"</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s2">"class_prior"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
+            <span class="s2">"class_sum"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
+            <span class="s2">"class_mean"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">]]</span>
+        <span class="p">}</span>
+    <span class="p">}</span>
+<span class="p">]</span>
+</pre></div>
+</div>
+<p>(*) Currently the correlation matrix update is toggled off. It will be reset in a later update. Users can still use it as desired with the is_enable option set to True.</p>
+<p>The format for an unstructured profile is below:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="s2">"global_stats"</span><span class="p">:</span> <span class="p">{</span>
+    <span class="s2">"samples_used"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+    <span class="s2">"empty_line_count"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+    <span class="s2">"file_type"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+    <span class="s2">"encoding"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+    <span class="s2">"memory_size"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span> <span class="c1"># in MB</span>
+<span class="p">},</span>
+<span class="s2">"data_stats"</span><span class="p">:</span> <span class="p">{</span>
+    <span class="s2">"data_label"</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s2">"entity_counts"</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s2">"word_level"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span>
+            <span class="s2">"true_char_level"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span>
+            <span class="s2">"postprocess_char_level"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">int</span><span class="p">]</span>
+        <span class="p">},</span>
+        <span class="s2">"entity_percentages"</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s2">"word_level"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"true_char_level"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"postprocess_char_level"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+        <span class="p">},</span>
+        <span class="s2">"times"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+    <span class="p">},</span>
+    <span class="s2">"statistics"</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s2">"vocab"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="n">char</span><span class="p">],</span>
+        <span class="s2">"vocab_count"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span>
+        <span class="s2">"words"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="n">string</span><span class="p">],</span>
+        <span class="s2">"word_count"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span>
+        <span class="s2">"times"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+    <span class="p">}</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+<p>The format for a graph profile is below:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="s2">"num_nodes"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+<span class="s2">"num_edges"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+<span class="s2">"categorical_attributes"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="n">string</span><span class="p">],</span>
+<span class="s2">"continuous_attributes"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="n">string</span><span class="p">],</span>
+<span class="s2">"avg_node_degree"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+<span class="s2">"global_max_component_size"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+<span class="s2">"continuous_distribution"</span><span class="p">:</span> <span class="p">{</span>
+    <span class="s2">"&lt;attribute_1&gt;"</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s2">"name"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+        <span class="s2">"scale"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+        <span class="s2">"properties"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">]</span>
+    <span class="p">},</span>
+    <span class="s2">"&lt;attribute_2&gt;"</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span>
+<span class="p">},</span>
+<span class="s2">"categorical_distribution"</span><span class="p">:</span> <span class="p">{</span>
+    <span class="s2">"&lt;attribute_1&gt;"</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="s2">"&lt;attribute_2&gt;"</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s2">"bin_counts"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
+        <span class="s2">"bin_edges"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span>
+    <span class="p">},</span>
+<span class="p">},</span>
+<span class="s2">"times"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+</pre></div>
+</div>
+<section id="supported-data-formats">
+<h3>Supported Data Formats<a class="headerlink" href="#supported-data-formats" title="Permalink to this headline">¶</a></h3>
+<ul class="simple">
+<li><p>Any delimited file (CSV, TSV, etc.)</p></li>
+<li><p>JSON object</p></li>
+<li><p>Avro file</p></li>
+<li><p>Parquet file</p></li>
+<li><p>Text file</p></li>
+<li><p>Pandas DataFrame</p></li>
+<li><p>A URL that points to one of the supported file types above</p></li>
+</ul>
+</section>
+<section id="data-labels">
+<h3>Data Labels<a class="headerlink" href="#data-labels" title="Permalink to this headline">¶</a></h3>
+<p><em>Data Labels</em> are determined per cell for structured data (column/row when the <em>profiler</em> is used) or at the character level for unstructured data.</p>
+<ul class="simple">
+<li><p>UNKNOWN</p></li>
+<li><p>ADDRESS</p></li>
+<li><p>BAN (bank account number, 10-18 digits)</p></li>
+<li><p>CREDIT_CARD</p></li>
+<li><p>EMAIL_ADDRESS</p></li>
+<li><p>UUID</p></li>
+<li><p>HASH_OR_KEY (md5, sha1, sha256, random hash, etc.)</p></li>
+<li><p>IPV4</p></li>
+<li><p>IPV6</p></li>
+<li><p>MAC_ADDRESS</p></li>
+<li><p>PERSON</p></li>
+<li><p>PHONE_NUMBER</p></li>
+<li><p>SSN</p></li>
+<li><p>URL</p></li>
+<li><p>US_STATE</p></li>
+<li><p>DRIVERS_LICENSE</p></li>
+<li><p>DATE</p></li>
+<li><p>TIME</p></li>
+<li><p>DATETIME</p></li>
+<li><p>INTEGER</p></li>
+<li><p>FLOAT</p></li>
+<li><p>QUANTITY</p></li>
+<li><p>ORDINAL</p></li>
+</ul>
+</section>
+</section>
+<section id="get-started">
+<h2>Get Started<a class="headerlink" href="#get-started" title="Permalink to this headline">¶</a></h2>
+<section id="load-a-file">
+<h3>Load a File<a class="headerlink" href="#load-a-file" title="Permalink to this headline">¶</a></h3>
+<p>The profiler should automatically identify the file type and load the data into a <cite>Data Class</cite>.</p>
+<p>Along with other attributtes the <cite>Data class</cite> enables structured data to be accessed via a valid Pandas DataFrame.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># Load a csv file, return a CSVData object</span>
+<span class="n">csv_data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s1">'your_file.csv'</span><span class="p">)</span>
+
+<span class="c1"># Print the first 10 rows of the csv file</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">csv_data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">))</span>
+
+<span class="c1"># Load a parquet file, return a ParquetData object</span>
+<span class="n">parquet_data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s1">'your_file.parquet'</span><span class="p">)</span>
+
+<span class="c1"># Sort the data by the name column</span>
+<span class="n">parquet_data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">'name'</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># Print the sorted first 10 rows of the parquet data</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">parquet_data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>If the file type is not automatically identified (rare), you can specify them
+specifically, see section Data Readers.</p>
+</section>
+<section id="profile-a-file">
+<h3>Profile a File<a class="headerlink" href="#profile-a-file" title="Permalink to this headline">¶</a></h3>
+<p>Example uses a CSV file for example, but CSV, JSON, Avro, Parquet or Text should also work.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load file (CSV should be automatically identified)</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+
+<span class="c1"># Profile the dataset</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Generate a report and use json to prettify.</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+
+<span class="c1"># Print the report</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="updating-profiles">
+<h3>Updating Profiles<a class="headerlink" href="#updating-profiles" title="Permalink to this headline">¶</a></h3>
+<p>Currently, the data profiler is equipped to update its profile in batches.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load and profile a CSV file</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Update the profile with new data:</span>
+<span class="n">new_data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"new_data.csv"</span><span class="p">)</span>
+<span class="n">profile</span><span class="o">.</span><span class="n">update_profile</span><span class="p">(</span><span class="n">new_data</span><span class="p">)</span>
+
+<span class="c1"># Print the report using json to prettify.</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="merging-profiles">
+<h3>Merging Profiles<a class="headerlink" href="#merging-profiles" title="Permalink to this headline">¶</a></h3>
+<p>If you have two files with the same schema (but different data), it is possible to merge the two profiles together via an addition operator.</p>
+<p>This also enables profiles to be determined in a distributed manner.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load a CSV file with a schema</span>
+<span class="n">data1</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"file_a.csv"</span><span class="p">)</span>
+<span class="n">profile1</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Load another CSV file with the same schema</span>
+<span class="n">data2</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"file_b.csv"</span><span class="p">)</span>
+<span class="n">profile2</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="n">profile3</span> <span class="o">=</span> <span class="n">profile1</span> <span class="o">+</span> <span class="n">profile2</span>
+
+<span class="c1"># Print the report using json to prettify.</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile3</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="profile-a-pandas-dataframe">
+<h3>Profile a Pandas DataFrame<a class="headerlink" href="#profile-a-pandas-dataframe" title="Permalink to this headline">¶</a></h3>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">import</span> <span class="nn">json</span>
+
+<span class="n">my_dataframe</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">([[</span><span class="mi">1</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">],[</span><span class="mi">1</span><span class="p">,</span> <span class="mf">2.2</span><span class="p">],[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">]])</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">my_dataframe</span><span class="p">)</span>
+
+<span class="c1"># print the report using json to prettify.</span>
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+
+<span class="c1"># read a specified column, in this case it is labeled 0:</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">[</span><span class="s2">"data stats"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="unstructured-profiler">
+<h3>Unstructured Profiler<a class="headerlink" href="#unstructured-profiler" title="Permalink to this headline">¶</a></h3>
+<p>In addition to the structured profiler, the Data Profiler provides unstructured
+profiling for the TextData object or string. Unstructured profiling also works
+with list(string), pd.Series(string) or pd.DataFrame(string) given profiler_type
+option specified as <cite>unstructured</cite>. Below is an example of unstructured profile
+with a text file.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="n">my_text</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s1">'text_file.txt'</span><span class="p">)</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">my_text</span><span class="p">)</span>
+
+<span class="c1"># print the report using json to prettify.</span>
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Another example of unstructured profile with pd.Series of string is given as below</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">json</span>
+
+<span class="n">text_data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="s1">'first string'</span><span class="p">,</span> <span class="s1">'second string'</span><span class="p">])</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">text_data</span><span class="p">,</span> <span class="n">profiler_type</span><span class="o">=</span><span class="s2">"unstructured"</span><span class="p">)</span>
+
+<span class="c1"># print the report using json to prettify.</span>
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="graph-profiler">
+<h3>Graph Profiler<a class="headerlink" href="#graph-profiler" title="Permalink to this headline">¶</a></h3>
+<p>DataProfiler also provides the ability to profile graph data from a csv file. Below is an example of the graph profiler with a graph data csv file:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">import</span> <span class="nn">pprint</span>
+
+<span class="n">my_graph</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s1">'graph_file.csv'</span><span class="p">)</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">my_graph</span><span class="p">)</span>
+
+<span class="c1"># print the report using pretty print (json dump does not work on numpy array values inside dict)</span>
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">()</span>
+<span class="n">printer</span> <span class="o">=</span> <span class="n">pprint</span><span class="o">.</span><span class="n">PrettyPrinter</span><span class="p">(</span><span class="n">sort_dicts</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">compact</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">printer</span><span class="o">.</span><span class="n">pprint</span><span class="p">(</span><span class="n">report</span><span class="p">)</span>
+</pre></div>
+</div>
+</section>
+<section id="specifying-a-filetype-or-delimiter">
+<h3>Specifying a Filetype or Delimiter<a class="headerlink" href="#specifying-a-filetype-or-delimiter" title="Permalink to this headline">¶</a></h3>
+<p>Example of specifying a CSV data type, with a <cite>,</cite> delimiter.
+In addition, it utilizes only the first 10,000 rows.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.data_readers.csv_data</span> <span class="kn">import</span> <span class="n">CSVData</span>
+
+<span class="c1"># Load a CSV file, with "," as the delimiter</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">CSVData</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="p">{</span><span class="s2">"delimiter"</span><span class="p">:</span> <span class="s2">","</span><span class="p">})</span>
+
+<span class="c1"># Split the data, such that only the first 10,000 rows are used</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">10000</span><span class="p">]</span>
+
+<span class="c1"># Read in profile and print results</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">}),</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+</div>
+</section>
+</section>
+<section id="versions">
+<h2>Versions<a class="headerlink" href="#versions" title="Permalink to this headline">¶</a></h2>
+<ul class="simple">
+<li><p><a class="reference external" href="../../0.10.5/html/index.html">0.10.5</a></p></li>
+<li><p><a class="reference external" href="../../0.10.4/html/index.html">0.10.4</a></p></li>
+<li><p><a class="reference external" href="../../0.10.3/html/index.html">0.10.3</a></p></li>
+<li><p><a class="reference external" href="../../0.10.2/html/index.html">0.10.2</a></p></li>
+<li><p><a class="reference external" href="../../0.10.1/html/index.html">0.10.1</a></p></li>
+<li><p><a class="reference external" href="../../0.10.0/html/index.html">0.10.0</a></p></li>
+<li><p><a class="reference external" href="../../0.9.0/html/index.html">0.9.0</a></p></li>
+<li><p><a class="reference external" href="../../0.8.9/html/index.html">0.8.9</a></p></li>
+<li><p><a class="reference external" href="../../0.8.8/html/index.html">0.8.8</a></p></li>
+<li><p><a class="reference external" href="../../0.8.7/html/index.html">0.8.7</a></p></li>
+<li><p><a class="reference external" href="../../0.8.6/html/index.html">0.8.6</a></p></li>
+<li><p><a class="reference external" href="../../0.8.5/html/index.html">0.8.5</a></p></li>
+<li><p><a class="reference external" href="../../0.8.4/html/index.html">0.8.4</a></p></li>
+<li><p><a class="reference external" href="../../0.8.3/html/index.html">0.8.3</a></p></li>
+<li><p><a class="reference external" href="../../0.8.2/html/index.html">0.8.2</a></p></li>
+<li><p><a class="reference external" href="../../0.8.1/html/index.html">0.8.1</a></p></li>
+<li><p><a class="reference external" href="../../0.8.0/html/index.html">0.8.0</a></p></li>
+<li><p><a class="reference external" href="../../0.7.11/html/index.html">0.7.11</a></p></li>
+<li><p><a class="reference external" href="../../0.7.10/html/index.html">0.7.10</a></p></li>
+<li><p><a class="reference external" href="../../0.7.9/html/index.html">0.7.9</a></p></li>
+<li><p><a class="reference external" href="../../0.7.8/html/index.html">0.7.8</a></p></li>
+<li><p><a class="reference external" href="../../0.7.7/html/index.html">0.7.7</a></p></li>
+<li><p><a class="reference external" href="../../0.7.6/html/index.html">0.7.6</a></p></li>
+<li><p><a class="reference external" href="../../0.7.2/html/index.html">0.7.2</a></p></li>
+<li><p><a class="reference external" href="../../0.7.1/html/index.html">0.7.1</a></p></li>
+<li><p><a class="reference external" href="../../0.7.0/html/index.html">0.7.0</a></p></li>
+<li><p><a class="reference external" href="../../0.6.0/html/index.html">0.6.0</a></p></li>
+<li><p><a class="reference external" href="../../0.5.3/html/index.html">0.5.3</a></p></li>
+<li><p><a class="reference external" href="../../0.5.2/html/index.html">0.5.2</a></p></li>
+<li><p><a class="reference external" href="../../0.5.1/html/index.html">0.5.1</a></p></li>
+<li><p><a class="reference external" href="../../0.5.0/html/index.html">0.5.0</a></p></li>
+<li><p><a class="reference external" href="../../0.4.7/html/index.html">0.4.7</a></p></li>
+<li><p><a class="reference external" href="../../0.4.6/html/index.html">0.4.6</a></p></li>
+<li><p><a class="reference external" href="../../0.4.5/html/index.html">0.4.5</a></p></li>
+<li><p><a class="reference external" href="../../0.4.4/html/index.html">0.4.4</a></p></li>
+<li><p><a class="reference external" href="../../0.4.3/html/index.html">0.4.3</a></p></li>
+<li><p><a class="reference external" href="../../v0.3/html/index.html">0.3.0</a></p></li>
+</ul>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="install.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Install</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/index.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Data Profiler | What’s in your data?</a><ul>
+<li><a class="reference internal" href="#purpose">Purpose</a></li>
+<li><a class="reference internal" href="#what-is-a-data-profile">What is a Data Profile?</a><ul>
+<li><a class="reference internal" href="#supported-data-formats">Supported Data Formats</a></li>
+<li><a class="reference internal" href="#data-labels">Data Labels</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#get-started">Get Started</a><ul>
+<li><a class="reference internal" href="#load-a-file">Load a File</a></li>
+<li><a class="reference internal" href="#profile-a-file">Profile a File</a></li>
+<li><a class="reference internal" href="#updating-profiles">Updating Profiles</a></li>
+<li><a class="reference internal" href="#merging-profiles">Merging Profiles</a></li>
+<li><a class="reference internal" href="#profile-a-pandas-dataframe">Profile a Pandas DataFrame</a></li>
+<li><a class="reference internal" href="#unstructured-profiler">Unstructured Profiler</a></li>
+<li><a class="reference internal" href="#graph-profiler">Graph Profiler</a></li>
+<li><a class="reference internal" href="#specifying-a-filetype-or-delimiter">Specifying a Filetype or Delimiter</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+<li><a class="reference internal" href="#versions">Versions</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/install.html b/docs/0.10.5/html/install.html
new file mode 100644
index 000000000..59a1e52a5
--- /dev/null
+++ b/docs/0.10.5/html/install.html
@@ -0,0 +1,392 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data Readers" href="data_readers.html" /><link rel="prev" title="Data Profiler | What’s in your data?" href="index.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Install - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="install">
+<span id="id1"></span><h1>Install<a class="headerlink" href="#install" title="Permalink to this headline">¶</a></h1>
+<p>To install the full package from pypi:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip install DataProfiler[ml]</span>
+</pre></div>
+</div>
+<p>If the ML requirements are too strict (say, you don’t want to install
+tensorflow), you can install a slimmer package. The slimmer package disables
+the default sensitive data detection / entity recognition (labler)</p>
+<p>Install from pypi:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip install DataProfiler</span>
+</pre></div>
+</div>
+<section id="snappy-installation">
+<h2>Snappy Installation<a class="headerlink" href="#snappy-installation" title="Permalink to this headline">¶</a></h2>
+<p>This is required to profile parquet/avro datasets</p>
+<p>MacOS (intel chip) with homebrew:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">brew install snappy &amp;&amp; CPPFLAGS="-I/usr/local/include -L/usr/local/lib" pip install python-snappy</span>
+</pre></div>
+</div>
+<p>MacOS (apple chip) with homebrew:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">brew install snappy &amp;&amp; CPPFLAGS="-I/opt/homebrew/include -L/opt/homebrew/lib" pip install python-snappy</span>
+</pre></div>
+</div>
+<p>Linux install:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">sudo apt-get -y install libsnappy-dev</span>
+</pre></div>
+</div>
+</section>
+<section id="build-from-scratch">
+<h2>Build From Scratch<a class="headerlink" href="#build-from-scratch" title="Permalink to this headline">¶</a></h2>
+<p>NOTE: Installation for python3</p>
+<p>virtualenv install:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">python3 -m pip install virtualenv</span>
+</pre></div>
+</div>
+<p>Setup virtual env:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">python3 -m virtualenv --python=python3 venv3</span>
+<span class="go">source venv3/bin/activate</span>
+</pre></div>
+</div>
+<p>Install requirements:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip3 install -r requirements.txt</span>
+</pre></div>
+</div>
+<p>Install labeler dependencies:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip3 install -r requirements-ml.txt</span>
+</pre></div>
+</div>
+<p>Install via the repo – Build setup.py and install locally:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">python3 setup.py sdist bdist bdist_wheel</span>
+<span class="go">pip3 install dist/DataProfiler*-py3-none-any.whl</span>
+</pre></div>
+</div>
+<p>If you see:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">ERROR: Double requirement given:dataprofiler==X.Y.Z from dataprofiler/dist/DataProfiler-X.Y.Z-py3-none-any.whl (already in dataprofiler==X2.Y2.Z2 from dataprofiler/dist/DataProfiler-X2.Y2.Z2-py3-none-any.whl, name='dataprofiler')</span>
+</pre></div>
+</div>
+<p>This means that you have multiple versions of the DataProfiler distribution
+in the dist folder.
+To resolve, either remove the older one or delete the folder and rerun the steps
+above.</p>
+<p>Install via github:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip3 install git+https://github.com/capitalone/dataprofiler.git#egg=dataprofiler</span>
+</pre></div>
+</div>
+</section>
+<section id="testing">
+<h2>Testing<a class="headerlink" href="#testing" title="Permalink to this headline">¶</a></h2>
+<p>For testing, install test requirements:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip3 install -r requirements-test.txt</span>
+</pre></div>
+</div>
+<p>To run all unit tests, use:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">DATAPROFILER_SEED=0 python3 -m unittest discover -p "test*.py"</span>
+</pre></div>
+</div>
+<p>To run file of unit tests, use form:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">DATAPROFILER_SEED=0 python3 -m unittest discover -p test_profile_builder.py</span>
+</pre></div>
+</div>
+<p>To run a file with Pytest use:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">DATAPROFILER_SEED=0 pytest dataprofiler/tests/data_readers/test_csv_data.py -v</span>
+</pre></div>
+</div>
+<p>To run individual of unit test, use form:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">DATAPROFILER_SEED=0 python3 -m unittest dataprofiler.tests.profilers.test_profile_builder.TestProfiler</span>
+</pre></div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="data_readers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data Readers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="index.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Home</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/install.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Install</a><ul>
+<li><a class="reference internal" href="#snappy-installation">Snappy Installation</a></li>
+<li><a class="reference internal" href="#build-from-scratch">Build From Scratch</a></li>
+<li><a class="reference internal" href="#testing">Testing</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/labeler.html b/docs/0.10.5/html/labeler.html
new file mode 100644
index 000000000..1b645e416
--- /dev/null
+++ b/docs/0.10.5/html/labeler.html
@@ -0,0 +1,957 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Adding new model to the existing DataLabeler pipeline" href="add_new_model_to_data_labeler.html" /><link rel="prev" title="Graph Pipeline Demo" href="graph_data_demo.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Sensitive Data Detection with the Labeler - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/labeler.nblink">View this notebook on GitHub</a></p>
+<section id="Sensitive-Data-Detection-with-the-Labeler">
+<h1>Sensitive Data Detection with the Labeler<a class="headerlink" href="#Sensitive-Data-Detection-with-the-Labeler" title="Permalink to this headline">¶</a></h1>
+<p>In this example, we utilize the Labeler component of the Data Profiler to detect the sensitive information for both structured and unstructured data. In addition, we show how to train the Labeler on some specific dataset with different list of entities.</p>
+<p>First, let’s dive into what the Labeler is.</p>
+<section id="What-is-the-Labeler">
+<h2>What is the Labeler<a class="headerlink" href="#What-is-the-Labeler" title="Permalink to this headline">¶</a></h2>
+<p>The Labeler is a pipeline designed to make building, training, and predictions with ML models quick and easy. There are 3 major components to the Labeler: the preprocessor, the model, and the postprocessor.</p>
+<p><img alt="alt text" src="_images/DL-Flowchart.png"/></p>
+<p>Each component can be switched out individually to suit your needs. As you might expect, the preprocessor takes in raw data and prepares it for the model, the model performs the prediction or training, and the postprocessor takes prediction results and turns them into human-readable results.</p>
+<p>Now let’s run some examples. Start by importing all the requirements.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+
+<span class="k">try</span><span class="p">:</span>
+    <span class="n">sys</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="s1">'..'</span><span class="p">)</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="c1"># remove extra tf loggin</span>
+<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
+<span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">logging</span><span class="o">.</span><span class="n">set_verbosity</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">logging</span><span class="o">.</span><span class="n">ERROR</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Structured-Data-Prediction">
+<h2>Structured Data Prediction<a class="headerlink" href="#Structured-Data-Prediction" title="Permalink to this headline">¶</a></h2>
+<p>We’ll use the aws honeypot dataset in the test folder for this example. First, look at the data using the Data Reader class of the Data Profiler. This dataset is from the US department of educations, <a class="reference external" href="https://data.ed.gov/dataset/college-scorecard-all-data-files-through-6-2020/resources?resource=823ac095-bdfc-41b0-b508-4e8fc3110082">found here!</a></p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"../dataprofiler/tests/data/csv/SchoolDataSmall.csv"</span><span class="p">)</span>
+<span class="n">df_data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">data</span>
+<span class="n">df_data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<p>We can directly predict the labels of a structured dataset on the cell level.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">)</span>
+
+<span class="c1"># print out the labels and label mapping</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"Labels: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">labeler</span><span class="o">.</span><span class="n">labels</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"Label Mapping: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">labeler</span><span class="o">.</span><span class="n">label_mapping</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">)</span>
+
+<span class="c1"># make predictions and get labels for each cell going row by row</span>
+<span class="c1"># predict options are model dependent and the default model can show prediction confidences</span>
+<span class="n">predictions</span> <span class="o">=</span> <span class="n">labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">predict_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"show_confidences"</span><span class="p">:</span> <span class="kc">True</span><span class="p">})</span>
+
+<span class="c1"># display prediction results</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"Predictions: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">predictions</span><span class="p">[</span><span class="s1">'pred'</span><span class="p">]))</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">)</span>
+
+<span class="c1"># display confidence results</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"Confidences: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">predictions</span><span class="p">[</span><span class="s1">'conf'</span><span class="p">]))</span>
+</pre></div>
+</div>
+</div>
+<p>The profiler uses the Labeler to perform column by column predictions. The data contains 11 columns, each of which has data label. Next, we will use the Labeler of the Data Profiler to predict the label for each column in this tabular dataset. Since we are only going to demo the labeling functionality, other options of the Data Profiler are disabled to keep this quick.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># helper functions for printing results</span>
+
+<span class="k">def</span> <span class="nf">get_structured_results</span><span class="p">(</span><span class="n">results</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""Helper function to get data labels for each column."""</span>
+    <span class="n">columns</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">predictions</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">samples</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">results</span><span class="p">[</span><span class="s1">'data_stats'</span><span class="p">]:</span>
+        <span class="n">columns</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">col</span><span class="p">[</span><span class="s1">'column_name'</span><span class="p">])</span>
+        <span class="n">predictions</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">col</span><span class="p">[</span><span class="s1">'data_label'</span><span class="p">])</span>
+        <span class="n">samples</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">col</span><span class="p">[</span><span class="s1">'samples'</span><span class="p">])</span>
+
+    <span class="n">df_results</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s1">'Column'</span><span class="p">:</span> <span class="n">columns</span><span class="p">,</span> <span class="s1">'Prediction'</span><span class="p">:</span> <span class="n">predictions</span><span class="p">,</span> <span class="s1">'Sample'</span><span class="p">:</span> <span class="n">samples</span><span class="p">})</span>
+    <span class="k">return</span> <span class="n">df_results</span>
+
+<span class="k">def</span> <span class="nf">get_unstructured_results</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">results</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""Helper function to get data labels for each labeled piece of text."""</span>
+    <span class="n">labeled_data</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">pred</span> <span class="ow">in</span> <span class="n">results</span><span class="p">[</span><span class="s1">'pred'</span><span class="p">][</span><span class="mi">0</span><span class="p">]:</span>
+        <span class="n">labeled_data</span><span class="o">.</span><span class="n">append</span><span class="p">([</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="n">pred</span><span class="p">[</span><span class="mi">0</span><span class="p">]:</span><span class="n">pred</span><span class="p">[</span><span class="mi">1</span><span class="p">]],</span> <span class="n">pred</span><span class="p">[</span><span class="mi">2</span><span class="p">]])</span>
+    <span class="n">label_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">labeled_data</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'Text'</span><span class="p">,</span> <span class="s1">'Labels'</span><span class="p">])</span>
+    <span class="k">return</span> <span class="n">label_df</span>
+
+
+<span class="n">pd</span><span class="o">.</span><span class="n">set_option</span><span class="p">(</span><span class="s1">'display.width'</span><span class="p">,</span> <span class="mi">100</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># set options to only run the labeler</span>
+<span class="n">profile_options</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">ProfilerOptions</span><span class="p">()</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s2">"structured_options.text.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                     <span class="s2">"int.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                     <span class="s2">"float.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                     <span class="s2">"order.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                     <span class="s2">"category.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                     <span class="s2">"chi2_homogeneity.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                     <span class="s2">"datetime.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,})</span>
+
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">profile_options</span><span class="p">)</span>
+
+<span class="n">results</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">get_structured_results</span><span class="p">(</span><span class="n">results</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<p>In this example, the results show that the Data Profiler is able to detect integers, URLs, address, and floats appropriately. Unknown is typically strings of text, which is appropriate for those columns.</p>
+</section>
+<section id="Unstructured-Data-Prediction">
+<h2>Unstructured Data Prediction<a class="headerlink" href="#Unstructured-Data-Prediction" title="Permalink to this headline">¶</a></h2>
+<p>Besides structured data, the Labeler detects the sensitive information on the unstructured text. We use a sample of spam email in Enron email dataset for this demo. As above, we start investigating the content of the given email sample.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># load data</span>
+<span class="n">data</span> <span class="o">=</span> <span class="s2">"Message-ID: &lt;11111111.1111111111111.JavaMail.evans@thyme&gt;</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"Date: Fri, 10 Aug 2005 11:31:37 -0700 (PDT)</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"From: w..smith@company.com</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"To: john.smith@company.com</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"Subject: RE: ABC</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"Mime-Version: 1.0</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"Content-Type: text/plain; charset=us-ascii</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"Content-Transfer-Encoding: 7bit</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"X-From: Smith, Mary W. &lt;/O=ENRON/OU=NA/CN=RECIPIENTS/CN=SSMITH&gt;</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"X-To: Smith, John &lt;/O=ENRON/OU=NA/CN=RECIPIENTS/CN=JSMITH&gt;</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"X-cc: </span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"X-bcc: </span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"X-Folder: \SSMITH (Non-Privileged)\Sent Items</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"X-Origin: Smith-S</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"X-FileName: SSMITH (Non-Privileged).pst</span><span class="se">\n\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"All I ever saw was the e-mail from the office.</span><span class="se">\n\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"Mary</span><span class="se">\n\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"-----Original Message-----</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"From:   Smith, John  </span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"Sent:   Friday, August 10, 2005 13:07 PM</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"To:     Smith, Mary W.</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"Subject:        ABC</span><span class="se">\n\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"Have you heard any more regarding the ABC sale? I guess that means that "</span> <span class="o">+</span> \
+        <span class="s2">"it's no big deal here, but you think they would have send something.</span><span class="se">\n\n\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"John Smith</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> \
+        <span class="s2">"123-456-7890</span><span class="se">\n</span><span class="s2">"</span>
+
+<span class="c1"># convert string data to list to feed into the labeler</span>
+<span class="n">data</span> <span class="o">=</span> <span class="p">[</span><span class="n">data</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+<p>By default, the Labeler predicts the results at the character level for unstructured text.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'unstructured'</span><span class="p">)</span>
+
+<span class="c1"># make predictions and get labels per character</span>
+<span class="n">predictions</span> <span class="o">=</span> <span class="n">labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># display results</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">predictions</span><span class="p">[</span><span class="s1">'pred'</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+<p>In addition to the character-level result, the Labeler provides the results at the word level following the standard NER (Named Entity Recognition), e.g., utilized by spaCy.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># convert prediction to word format and ner format</span>
+<span class="c1"># Set the output to the NER format (start position, end position, label)</span>
+<span class="n">labeler</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span>
+    <span class="p">{</span> <span class="s1">'postprocessor'</span><span class="p">:</span> <span class="p">{</span> <span class="s1">'output_format'</span><span class="p">:</span><span class="s1">'ner'</span><span class="p">,</span> <span class="s1">'use_word_level_argmax'</span><span class="p">:</span><span class="kc">True</span> <span class="p">}</span> <span class="p">}</span>
+<span class="p">)</span>
+
+<span class="c1"># make predictions and get labels per character</span>
+<span class="n">predictions</span> <span class="o">=</span> <span class="n">labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># display results</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'</span><span class="se">\n</span><span class="s1">'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'=======================Prediction======================</span><span class="se">\n</span><span class="s1">'</span><span class="p">)</span>
+<span class="k">for</span> <span class="n">pred</span> <span class="ow">in</span> <span class="n">predictions</span><span class="p">[</span><span class="s1">'pred'</span><span class="p">][</span><span class="mi">0</span><span class="p">]:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s1">'</span><span class="si">{}</span><span class="s1">: </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="n">pred</span><span class="p">[</span><span class="mi">0</span><span class="p">]:</span> <span class="n">pred</span><span class="p">[</span><span class="mi">1</span><span class="p">]],</span> <span class="n">pred</span><span class="p">[</span><span class="mi">2</span><span class="p">]))</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s1">'--------------------------------------------------------'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<p>Here, the Labeler is able to identify sensitive information such as datetime, email address, person names, and phone number in an email sample.</p>
+</section>
+<section id="Train-the-Labeler-from-Scratch">
+<h2>Train the Labeler from Scratch<a class="headerlink" href="#Train-the-Labeler-from-Scratch" title="Permalink to this headline">¶</a></h2>
+<p>The Labeler can be trained from scratch with a new list of labels. Below, we show an example of training the Labeler on a dataset with labels given as the columns of that dataset. For brevity’s sake, let’s only train a few epochs with a subset of a dataset.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"../dataprofiler/tests/data/csv/SchoolDataSmall.csv"</span><span class="p">)</span>
+<span class="n">df</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="p">[[</span><span class="s2">"OPEID6"</span><span class="p">,</span> <span class="s2">"INSTURL"</span><span class="p">,</span> <span class="s2">"SEARCH_STRING"</span><span class="p">]]</span>
+<span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
+
+<span class="c1"># split data to training and test set</span>
+<span class="n">split_ratio</span> <span class="o">=</span> <span class="mf">0.2</span>
+<span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">frac</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">data_train</span> <span class="o">=</span> <span class="n">df</span><span class="p">[:</span><span class="nb">int</span><span class="p">((</span><span class="mi">1</span> <span class="o">-</span> <span class="n">split_ratio</span><span class="p">)</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">df</span><span class="p">))]</span>
+<span class="n">data_test</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="nb">int</span><span class="p">((</span><span class="mi">1</span> <span class="o">-</span> <span class="n">split_ratio</span><span class="p">)</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">df</span><span class="p">)):]</span>
+
+<span class="c1"># train a new labeler with column names as labels</span>
+<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="s1">'data_labeler_saved'</span><span class="p">):</span>
+    <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="s1">'data_labeler_saved'</span><span class="p">)</span>
+
+<span class="n">labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">train_structured_labeler</span><span class="p">(</span>
+    <span class="n">data</span><span class="o">=</span><span class="n">data_train</span><span class="p">,</span>
+    <span class="n">save_dirpath</span><span class="o">=</span><span class="s2">"data_labeler_saved"</span><span class="p">,</span>
+    <span class="n">epochs</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span>
+    <span class="n">default_label</span><span class="o">=</span><span class="s2">"OPEID6"</span>
+<span class="p">)</span>
+
+</pre></div>
+</div>
+</div>
+<p>The trained Labeler is then used by the Data Profiler to provide the prediction on the new dataset.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># predict with the labeler object</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s1">'structured_options.data_labeler.data_labeler_object'</span><span class="p">:</span> <span class="n">labeler</span><span class="p">})</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data_test</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">profile_options</span><span class="p">)</span>
+
+<span class="c1"># get the prediction from the data profiler</span>
+<span class="n">results</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">get_structured_results</span><span class="p">(</span><span class="n">results</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<p>Another way to use the trained Labeler is through the directory path of the saved labeler.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># predict with the labeler loaded from path</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s1">'structured_options.data_labeler.data_labeler_dirpath'</span><span class="p">:</span> <span class="s1">'data_labeler_saved'</span><span class="p">})</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data_test</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">profile_options</span><span class="p">)</span>
+
+<span class="c1"># get the prediction from the data profiler</span>
+<span class="n">results</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">get_structured_results</span><span class="p">(</span><span class="n">results</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Transfer-Learning-a-Labeler">
+<h2>Transfer Learning a Labeler<a class="headerlink" href="#Transfer-Learning-a-Labeler" title="Permalink to this headline">¶</a></h2>
+<p>Instead of training a model from scratch, we can also transfer learn to improve the model and/or extend the labels. Again for brevity’s sake, let’s only train a few epochs with a small dataset at the cost of accuracy.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"../dataprofiler/tests/data/csv/SchoolDataSmall.csv"</span><span class="p">)</span>
+<span class="n">df_data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="p">[[</span><span class="s2">"OPEID6"</span><span class="p">,</span> <span class="s2">"INSTURL"</span><span class="p">,</span> <span class="s2">"SEARCH_STRING"</span><span class="p">]]</span>
+
+
+<span class="c1"># prep data</span>
+<span class="n">df_data</span> <span class="o">=</span> <span class="n">df_data</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span><span class="o">.</span><span class="n">melt</span><span class="p">()</span>
+<span class="n">df_data</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>  <span class="c1"># labels=1, values=0 in that order</span>
+<span class="n">df_data</span> <span class="o">=</span> <span class="n">df_data</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+<span class="n">new_labels</span> <span class="o">=</span> <span class="n">df_data</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">unique</span><span class="p">()</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+
+<span class="c1"># load structured Labeler w/ trainable set to True</span>
+<span class="n">labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">,</span> <span class="n">trainable</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># Reconstruct the model to add each new label</span>
+<span class="k">for</span> <span class="n">label</span> <span class="ow">in</span> <span class="n">new_labels</span><span class="p">:</span>
+    <span class="n">labeler</span><span class="o">.</span><span class="n">add_label</span><span class="p">(</span><span class="n">label</span><span class="p">)</span>
+
+<span class="c1"># this will use transfer learning to retrain the labeler on your new</span>
+<span class="c1"># dataset and labels.</span>
+<span class="c1"># Setting labels with a list of labels or label mapping will overwrite the existing labels with new ones</span>
+<span class="c1"># Setting the reset_weights parameter to false allows transfer learning to occur</span>
+<span class="n">model_results</span> <span class="o">=</span> <span class="n">labeler</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">df_data</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">y</span><span class="o">=</span><span class="n">df_data</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">validation_split</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span>
+                                 <span class="n">epochs</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">reset_weights</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<p>Let’s display the training results of the last epoch:</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="si">{:16s}</span><span class="s2">  Precision  Recall  F1-score  Support"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s2">""</span><span class="p">))</span>
+<span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">model_results</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">][</span><span class="mi">2</span><span class="p">]:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="si">{:16s}</span><span class="s2">  </span><span class="si">{:4.3f}</span><span class="s2">      </span><span class="si">{:4.3f}</span><span class="s2">   </span><span class="si">{:4.3f}</span><span class="s2">     </span><span class="si">{:7.0f}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">item</span><span class="p">,</span>
+                                                                      <span class="n">model_results</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">][</span><span class="mi">2</span><span class="p">][</span><span class="n">item</span><span class="p">][</span><span class="s2">"precision"</span><span class="p">],</span>
+                                                                      <span class="n">model_results</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">][</span><span class="mi">2</span><span class="p">][</span><span class="n">item</span><span class="p">][</span><span class="s2">"recall"</span><span class="p">],</span>
+                                                                      <span class="n">model_results</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">][</span><span class="mi">2</span><span class="p">][</span><span class="n">item</span><span class="p">][</span><span class="s2">"f1-score"</span><span class="p">],</span>
+                                                                      <span class="n">model_results</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">][</span><span class="mi">2</span><span class="p">][</span><span class="n">item</span><span class="p">][</span><span class="s2">"support"</span><span class="p">]))</span>
+</pre></div>
+</div>
+</div>
+<p>It is now trained to detect additional labels! The model results here show all the labels training accuracy. Since only new labels existed in the dataset, only the new labels are given accuracy scores. Keep in mind this is a small dataset for brevity’s sake and that real training would involve more samples and better results.</p>
+</section>
+<section id="Saving-and-Loading-a-Labeler">
+<h2>Saving and Loading a Labeler<a class="headerlink" href="#Saving-and-Loading-a-Labeler" title="Permalink to this headline">¶</a></h2>
+<p>The Labeler can easily be saved or loaded with one simple line.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Ensure save directory exists</span>
+<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="s1">'my_labeler'</span><span class="p">):</span>
+    <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="s1">'my_labeler'</span><span class="p">)</span>
+
+<span class="c1"># Saving the labeler</span>
+<span class="n">labeler</span><span class="o">.</span><span class="n">save_to_disk</span><span class="p">(</span><span class="s2">"my_labeler"</span><span class="p">)</span>
+
+<span class="c1"># Loading the labeler</span>
+<span class="n">labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">,</span> <span class="n">dirpath</span><span class="o">=</span><span class="s2">"my_labeler"</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Building-a-Labeler-from-the-Ground-Up">
+<h2>Building a Labeler from the Ground Up<a class="headerlink" href="#Building-a-Labeler-from-the-Ground-Up" title="Permalink to this headline">¶</a></h2>
+<p>As mentioned earlier, the labeler is comprised of three components, and each of the compenents can be created and interchanged in the the labeler pipeline.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">random</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.labelers.character_level_cnn_model</span> <span class="kn">import</span> \
+    <span class="n">CharacterLevelCnnModel</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.labelers.data_processing</span> <span class="kn">import</span> \
+    <span class="n">StructCharPreprocessor</span><span class="p">,</span> <span class="n">StructCharPostprocessor</span>
+
+<span class="n">model</span> <span class="o">=</span> <span class="n">CharacterLevelCnnModel</span><span class="p">({</span><span class="s2">"PAD"</span><span class="p">:</span><span class="mi">0</span><span class="p">,</span> <span class="s2">"UNKNOWN"</span><span class="p">:</span><span class="mi">1</span><span class="p">,</span> <span class="s2">"Test_Label"</span><span class="p">:</span><span class="mi">2</span><span class="p">})</span>
+<span class="n">preprocessor</span> <span class="o">=</span> <span class="n">StructCharPreprocessor</span><span class="p">()</span>
+<span class="n">postprocessor</span> <span class="o">=</span> <span class="n">StructCharPostprocessor</span><span class="p">()</span>
+
+<span class="n">labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">)</span>
+<span class="n">labeler</span><span class="o">.</span><span class="n">set_preprocessor</span><span class="p">(</span><span class="n">preprocessor</span><span class="p">)</span>
+<span class="n">labeler</span><span class="o">.</span><span class="n">set_model</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
+<span class="n">labeler</span><span class="o">.</span><span class="n">set_postprocessor</span><span class="p">(</span><span class="n">postprocessor</span><span class="p">)</span>
+
+<span class="c1"># check for basic compatibility between the processors and the model</span>
+<span class="n">labeler</span><span class="o">.</span><span class="n">check_pipeline</span><span class="p">()</span>
+
+<span class="c1"># Optionally set the parameters</span>
+<span class="n">parameters</span><span class="o">=</span><span class="p">{</span>
+    <span class="s1">'preprocessor'</span><span class="p">:{</span>
+        <span class="s1">'max_length'</span><span class="p">:</span> <span class="mi">100</span><span class="p">,</span>
+    <span class="p">},</span>
+    <span class="s1">'model'</span><span class="p">:{</span>
+        <span class="s1">'max_length'</span><span class="p">:</span> <span class="mi">100</span><span class="p">,</span>
+    <span class="p">},</span>
+    <span class="s1">'postprocessor'</span><span class="p">:{</span>
+        <span class="s1">'random_state'</span><span class="p">:</span> <span class="n">random</span><span class="o">.</span><span class="n">Random</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
+    <span class="p">}</span>
+<span class="p">}</span>
+<span class="n">labeler</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span><span class="n">parameters</span><span class="p">)</span>
+
+<span class="n">labeler</span><span class="o">.</span><span class="n">help</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<p>The components can each be created if you inherit the BaseModel and BaseProcessor for the model and processors, respectively. More info can be found about coding your own components in the Labeler section of the <a class="reference external" href="https://capitalone.github.io/dataprofiler">documentation</a>. In summary, the Data Profiler open source library can be used to scan sensitive information in both structured and unstructured data with different file types. It supports multiple input formats and output formats at word and
+character levels. Users can also train the labeler on their own datasets.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="add_new_model_to_data_labeler.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Adding new model to the existing DataLabeler pipeline</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="graph_data_demo.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Graph Pipeline Demo</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/labeler.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Sensitive Data Detection with the Labeler</a><ul>
+<li><a class="reference internal" href="#What-is-the-Labeler">What is the Labeler</a></li>
+<li><a class="reference internal" href="#Structured-Data-Prediction">Structured Data Prediction</a></li>
+<li><a class="reference internal" href="#Unstructured-Data-Prediction">Unstructured Data Prediction</a></li>
+<li><a class="reference internal" href="#Train-the-Labeler-from-Scratch">Train the Labeler from Scratch</a></li>
+<li><a class="reference internal" href="#Transfer-Learning-a-Labeler">Transfer Learning a Labeler</a></li>
+<li><a class="reference internal" href="#Saving-and-Loading-a-Labeler">Saving and Loading a Labeler</a></li>
+<li><a class="reference internal" href="#Building-a-Labeler-from-the-Ground-Up">Building a Labeler from the Ground Up</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/labeler.ipynb b/docs/0.10.5/html/labeler.ipynb
new file mode 100644
index 000000000..af31b68c5
--- /dev/null
+++ b/docs/0.10.5/html/labeler.ipynb
@@ -0,0 +1,650 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "spoken-reunion",
+   "metadata": {},
+   "source": [
+    "# Sensitive Data Detection with the Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "interesting-bidder",
+   "metadata": {},
+   "source": [
+    "In this example, we utilize the Labeler component of the Data Profiler to detect the sensitive information for both structured and unstructured data. In addition, we show how to train the Labeler on some specific dataset with different list of entities.\n",
+    "\n",
+    "First, let's dive into what the Labeler is."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1965b83b",
+   "metadata": {},
+   "source": [
+    "## What is the Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "388c643f",
+   "metadata": {},
+   "source": [
+    "The Labeler is a pipeline designed to make building, training, and predictions with ML models quick and easy. There are 3 major components to the Labeler: the preprocessor, the model, and the postprocessor."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e5d0aeb4",
+   "metadata": {},
+   "source": [
+    "![alt text](DL-Flowchart.png \"Title\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "550323c7",
+   "metadata": {},
+   "source": [
+    "Each component can be switched out individually to suit your needs. As you might expect, the preprocessor takes in raw data and prepares it for the model, the model performs the prediction or training, and the postprocessor takes prediction results and turns them into human-readable results. \n",
+    "\n",
+    "Now let's run some examples. Start by importing all the requirements."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "scientific-stevens",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "import tensorflow as tf\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5125b215",
+   "metadata": {},
+   "source": [
+    "## Structured Data Prediction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "wicked-devon",
+   "metadata": {},
+   "source": [
+    "We'll use the aws honeypot dataset in the test folder for this example. First, look at the data using the Data Reader class of the Data Profiler. This dataset is from the US department of educations, [found here!](https://data.ed.gov/dataset/college-scorecard-all-data-files-through-6-2020/resources?resource=823ac095-bdfc-41b0-b508-4e8fc3110082)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "adjusted-native",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/SchoolDataSmall.csv\")\n",
+    "df_data = data.data\n",
+    "df_data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ab6ccf8a",
+   "metadata": {},
+   "source": [
+    "We can directly predict the labels of a structured dataset on the cell level."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "19529af4",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "labeler = dp.DataLabeler(labeler_type='structured')\n",
+    "\n",
+    "# print out the labels and label mapping\n",
+    "print(\"Labels: {}\".format(labeler.labels)) \n",
+    "print(\"\\n\")\n",
+    "print(\"Label Mapping: {}\".format(labeler.label_mapping))\n",
+    "print(\"\\n\")\n",
+    "\n",
+    "# make predictions and get labels for each cell going row by row\n",
+    "# predict options are model dependent and the default model can show prediction confidences\n",
+    "predictions = labeler.predict(data, predict_options={\"show_confidences\": True})\n",
+    "\n",
+    "# display prediction results\n",
+    "print(\"Predictions: {}\".format(predictions['pred']))\n",
+    "print(\"\\n\")\n",
+    "\n",
+    "# display confidence results\n",
+    "print(\"Confidences: {}\".format(predictions['conf']))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2af72e2c",
+   "metadata": {},
+   "source": [
+    "The profiler uses the Labeler to perform column by column predictions. The data contains 11 columns, each of which has  data label. Next, we will use the Labeler of the Data Profiler to predict the label for each column in this tabular dataset. Since we are only going to demo the labeling functionality, other options of the Data Profiler are disabled to keep this quick."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d6cb9d7e-149a-4cfe-86f8-76c47c57aeea",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# helper functions for printing results\n",
+    "\n",
+    "def get_structured_results(results):\n",
+    "    \"\"\"Helper function to get data labels for each column.\"\"\"\n",
+    "    columns = []\n",
+    "    predictions = []\n",
+    "    samples = []\n",
+    "    for col in results['data_stats']:\n",
+    "        columns.append(col['column_name'])\n",
+    "        predictions.append(col['data_label'])\n",
+    "        samples.append(col['samples'])\n",
+    "\n",
+    "    df_results = pd.DataFrame({'Column': columns, 'Prediction': predictions, 'Sample': samples})\n",
+    "    return df_results\n",
+    "\n",
+    "def get_unstructured_results(data, results):\n",
+    "    \"\"\"Helper function to get data labels for each labeled piece of text.\"\"\"\n",
+    "    labeled_data = []\n",
+    "    for pred in results['pred'][0]:\n",
+    "        labeled_data.append([data[0][pred[0]:pred[1]], pred[2]])\n",
+    "    label_df = pd.DataFrame(labeled_data, columns=['Text', 'Labels'])\n",
+    "    return label_df\n",
+    "    \n",
+    "\n",
+    "pd.set_option('display.width', 100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "secret-million",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# set options to only run the labeler\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({\"structured_options.text.is_enabled\": False, \n",
+    "                     \"int.is_enabled\": False, \n",
+    "                     \"float.is_enabled\": False, \n",
+    "                     \"order.is_enabled\": False, \n",
+    "                     \"category.is_enabled\": False, \n",
+    "                     \"chi2_homogeneity.is_enabled\": False,\n",
+    "                     \"datetime.is_enabled\": False,})\n",
+    "\n",
+    "profile = dp.Profiler(data, options=profile_options)\n",
+    "\n",
+    "results = profile.report()    \n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fatty-louisville",
+   "metadata": {},
+   "source": [
+    "In this example, the results show that the Data Profiler is able to detect integers, URLs, address, and floats appropriately. Unknown is typically strings of text, which is appropriate for those columns."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "unavailable-diploma",
+   "metadata": {},
+   "source": [
+    "## Unstructured Data Prediction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "metallic-coaching",
+   "metadata": {},
+   "source": [
+    "Besides structured data, the Labeler detects the sensitive information on the unstructured text. We use a sample of spam email in Enron email dataset for this demo. As above, we start investigating the content of the given email sample."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "unauthorized-lounge",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# load data\n",
+    "data = \"Message-ID: <11111111.1111111111111.JavaMail.evans@thyme>\\n\" + \\\n",
+    "        \"Date: Fri, 10 Aug 2005 11:31:37 -0700 (PDT)\\n\" + \\\n",
+    "        \"From: w..smith@company.com\\n\" + \\\n",
+    "        \"To: john.smith@company.com\\n\" + \\\n",
+    "        \"Subject: RE: ABC\\n\" + \\\n",
+    "        \"Mime-Version: 1.0\\n\" + \\\n",
+    "        \"Content-Type: text/plain; charset=us-ascii\\n\" + \\\n",
+    "        \"Content-Transfer-Encoding: 7bit\\n\" + \\\n",
+    "        \"X-From: Smith, Mary W. </O=ENRON/OU=NA/CN=RECIPIENTS/CN=SSMITH>\\n\" + \\\n",
+    "        \"X-To: Smith, John </O=ENRON/OU=NA/CN=RECIPIENTS/CN=JSMITH>\\n\" + \\\n",
+    "        \"X-cc: \\n\" + \\\n",
+    "        \"X-bcc: \\n\" + \\\n",
+    "        \"X-Folder: \\SSMITH (Non-Privileged)\\Sent Items\\n\" + \\\n",
+    "        \"X-Origin: Smith-S\\n\" + \\\n",
+    "        \"X-FileName: SSMITH (Non-Privileged).pst\\n\\n\" + \\\n",
+    "        \"All I ever saw was the e-mail from the office.\\n\\n\" + \\\n",
+    "        \"Mary\\n\\n\" + \\\n",
+    "        \"-----Original Message-----\\n\" + \\\n",
+    "        \"From:   Smith, John  \\n\" + \\\n",
+    "        \"Sent:   Friday, August 10, 2005 13:07 PM\\n\" + \\\n",
+    "        \"To:     Smith, Mary W.\\n\" + \\\n",
+    "        \"Subject:        ABC\\n\\n\" + \\\n",
+    "        \"Have you heard any more regarding the ABC sale? I guess that means that \" + \\\n",
+    "        \"it's no big deal here, but you think they would have send something.\\n\\n\\n\" + \\\n",
+    "        \"John Smith\\n\" + \\\n",
+    "        \"123-456-7890\\n\"\n",
+    "\n",
+    "# convert string data to list to feed into the labeler\n",
+    "data = [data]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "concerned-segment",
+   "metadata": {},
+   "source": [
+    "By default, the Labeler predicts the results at the character level for unstructured text."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "junior-acrobat",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "labeler = dp.DataLabeler(labeler_type='unstructured')\n",
+    "\n",
+    "# make predictions and get labels per character\n",
+    "predictions = labeler.predict(data)\n",
+    "\n",
+    "# display results\n",
+    "print(predictions['pred'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "individual-diabetes",
+   "metadata": {},
+   "source": [
+    "In addition to the character-level result, the Labeler provides the results at the word level following the standard NER (Named Entity Recognition), e.g., utilized by spaCy. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "optical-universe",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# convert prediction to word format and ner format\n",
+    "# Set the output to the NER format (start position, end position, label)\n",
+    "labeler.set_params(\n",
+    "    { 'postprocessor': { 'output_format':'ner', 'use_word_level_argmax':True } } \n",
+    ")\n",
+    "\n",
+    "# make predictions and get labels per character\n",
+    "predictions = labeler.predict(data)\n",
+    "\n",
+    "# display results\n",
+    "print('\\n')\n",
+    "print('=======================Prediction======================\\n')\n",
+    "for pred in predictions['pred'][0]:\n",
+    "    print('{}: {}'.format(data[0][pred[0]: pred[1]], pred[2]))\n",
+    "    print('--------------------------------------------------------')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "behavioral-tourism",
+   "metadata": {},
+   "source": [
+    "Here, the Labeler is able to identify sensitive information such as datetime, email address, person names, and phone number in an email sample. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "nasty-disney",
+   "metadata": {},
+   "source": [
+    "## Train the Labeler from Scratch"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "destroyed-twist",
+   "metadata": {},
+   "source": [
+    "The Labeler can be trained from scratch with a new list of labels. Below, we show an example of training the Labeler on a dataset with labels given as the columns of that dataset. For brevity's sake, let's only train a few epochs with a subset of a dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "utility-evaluation",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/SchoolDataSmall.csv\")\n",
+    "df = data.data[[\"OPEID6\", \"INSTURL\", \"SEARCH_STRING\"]]\n",
+    "df.head()\n",
+    "\n",
+    "# split data to training and test set\n",
+    "split_ratio = 0.2\n",
+    "df = df.sample(frac=1).reset_index(drop=True)\n",
+    "data_train = df[:int((1 - split_ratio) * len(df))]\n",
+    "data_test = df[int((1 - split_ratio) * len(df)):]\n",
+    "\n",
+    "# train a new labeler with column names as labels\n",
+    "if not os.path.exists('data_labeler_saved'):\n",
+    "    os.makedirs('data_labeler_saved')\n",
+    "\n",
+    "labeler = dp.train_structured_labeler(\n",
+    "    data=data_train,\n",
+    "    save_dirpath=\"data_labeler_saved\",\n",
+    "    epochs=10,\n",
+    "    default_label=\"OPEID6\"\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "utility-torture",
+   "metadata": {},
+   "source": [
+    "The trained Labeler is then used by the Data Profiler to provide the prediction on the new dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "answering-panel",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predict with the labeler object\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_object': labeler})\n",
+    "profile = dp.Profiler(data_test, options=profile_options)\n",
+    "\n",
+    "# get the prediction from the data profiler\n",
+    "results = profile.report()\n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "polish-stand",
+   "metadata": {},
+   "source": [
+    "Another way to use the trained Labeler is through the directory path of the saved labeler."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "industrial-characterization",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# predict with the labeler loaded from path\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_dirpath': 'data_labeler_saved'})\n",
+    "profile = dp.Profiler(data_test, options=profile_options)\n",
+    "\n",
+    "# get the prediction from the data profiler\n",
+    "results = profile.report()\n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2acedba0",
+   "metadata": {},
+   "source": [
+    "## Transfer Learning a Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2f15fb1f",
+   "metadata": {},
+   "source": [
+    "Instead of training a model from scratch, we can also transfer learn to improve the model and/or extend the labels. Again for brevity's sake, let's only train a few epochs with a small dataset at the cost of accuracy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0104c374",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/SchoolDataSmall.csv\")\n",
+    "df_data = data.data[[\"OPEID6\", \"INSTURL\", \"SEARCH_STRING\"]]\n",
+    "\n",
+    "\n",
+    "# prep data\n",
+    "df_data = df_data.reset_index(drop=True).melt()\n",
+    "df_data.columns = [1, 0]  # labels=1, values=0 in that order\n",
+    "df_data = df_data.astype(str)\n",
+    "new_labels = df_data[1].unique().tolist()\n",
+    "\n",
+    "# load structured Labeler w/ trainable set to True\n",
+    "labeler = dp.DataLabeler(labeler_type='structured', trainable=True)\n",
+    "\n",
+    "# Reconstruct the model to add each new label\n",
+    "for label in new_labels:\n",
+    "    labeler.add_label(label)\n",
+    "\n",
+    "# this will use transfer learning to retrain the labeler on your new\n",
+    "# dataset and labels.\n",
+    "# Setting labels with a list of labels or label mapping will overwrite the existing labels with new ones\n",
+    "# Setting the reset_weights parameter to false allows transfer learning to occur\n",
+    "model_results = labeler.fit(x=df_data[0], y=df_data[1], validation_split=0.2, \n",
+    "                                 epochs=10, labels=None, reset_weights=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ae78745f",
+   "metadata": {},
+   "source": [
+    "Let's display the training results of the last epoch:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b764aa8c",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "print(\"{:16s}  Precision  Recall  F1-score  Support\".format(\"\"))\n",
+    "for item in model_results[-1][2]:\n",
+    "    print(\"{:16s}  {:4.3f}      {:4.3f}   {:4.3f}     {:7.0f}\".format(item,\n",
+    "                                                                      model_results[-1][2][item][\"precision\"],\n",
+    "                                                                      model_results[-1][2][item][\"recall\"],\n",
+    "                                                                      model_results[-1][2][item][\"f1-score\"],\n",
+    "                                                                      model_results[-1][2][item][\"support\"]))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "44009522",
+   "metadata": {},
+   "source": [
+    "It is now trained to detect additional labels! The model results here show all the labels training accuracy. Since only new labels existed in the dataset, only the new labels are given accuracy scores. Keep in mind this is a small dataset for brevity's sake and that real training would involve more samples and better results."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e110ee1c",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c484d193",
+   "metadata": {},
+   "source": [
+    "The Labeler can easily be saved or loaded with one simple line."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4d8684fa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Ensure save directory exists\n",
+    "if not os.path.exists('my_labeler'):\n",
+    "    os.makedirs('my_labeler')\n",
+    "\n",
+    "# Saving the labeler\n",
+    "labeler.save_to_disk(\"my_labeler\")\n",
+    "\n",
+    "# Loading the labeler\n",
+    "labeler = dp.DataLabeler(labeler_type='structured', dirpath=\"my_labeler\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8d36dec8",
+   "metadata": {},
+   "source": [
+    "## Building a Labeler from the Ground Up"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "59346d2b",
+   "metadata": {},
+   "source": [
+    "As mentioned earlier, the labeler is comprised of three components, and each of the compenents can be created and interchanged in the the labeler pipeline."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6506ef97",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import random\n",
+    "from dataprofiler.labelers.character_level_cnn_model import \\\n",
+    "    CharacterLevelCnnModel\n",
+    "from dataprofiler.labelers.data_processing import \\\n",
+    "    StructCharPreprocessor, StructCharPostprocessor\n",
+    "\n",
+    "model = CharacterLevelCnnModel({\"PAD\":0, \"UNKNOWN\":1, \"Test_Label\":2})\n",
+    "preprocessor = StructCharPreprocessor()\n",
+    "postprocessor = StructCharPostprocessor()\n",
+    "\n",
+    "labeler = dp.DataLabeler(labeler_type='structured')\n",
+    "labeler.set_preprocessor(preprocessor)\n",
+    "labeler.set_model(model)\n",
+    "labeler.set_postprocessor(postprocessor)\n",
+    "\n",
+    "# check for basic compatibility between the processors and the model\n",
+    "labeler.check_pipeline()\n",
+    "\n",
+    "# Optionally set the parameters\n",
+    "parameters={\n",
+    "    'preprocessor':{\n",
+    "        'max_length': 100,\n",
+    "    },\n",
+    "    'model':{\n",
+    "        'max_length': 100,\n",
+    "    },\n",
+    "    'postprocessor':{\n",
+    "        'random_state': random.Random(1)\n",
+    "    }\n",
+    "} \n",
+    "labeler.set_params(parameters)\n",
+    "\n",
+    "labeler.help()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5f020d7f",
+   "metadata": {},
+   "source": [
+    "The components can each be created if you inherit the BaseModel and BaseProcessor for the model and processors, respectively. More info can be found about coding your own components in the Labeler section of the [documentation]( https://capitalone.github.io/dataprofiler). In summary, the Data Profiler open source library can be used to scan sensitive information in both structured and unstructured data with different file types. It supports multiple input formats and output formats at word and character levels. Users can also train the labeler on their own datasets."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/html/merge_profile_list.html b/docs/0.10.5/html/merge_profile_list.html
new file mode 100644
index 000000000..4f7ef4b59
--- /dev/null
+++ b/docs/0.10.5/html/merge_profile_list.html
@@ -0,0 +1,638 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Dataloader with Popmon Reports" href="popmon_dp_loader_example.html" /><link rel="prev" title="ColumnName Labeler Tutorial" href="column_name_labeler_example.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Merge List of Profiles - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/merge_profile_list.nblink">View this notebook on GitHub</a></p>
+<section id="Merge-List-of-Profiles">
+<h1>Merge List of Profiles<a class="headerlink" href="#Merge-List-of-Profiles" title="Permalink to this headline">¶</a></h1>
+<p>This is an example of a new utils in the dataprofiler for distributed merging of profile objects. This assumes the user is providing a list of profile objects to the utils function for merging all the profiles together.</p>
+<section id="Imports">
+<h2>Imports<a class="headerlink" href="#Imports" title="Permalink to this headline">¶</a></h2>
+<p>Let’s start by importing the necessary packages…</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+<span class="kn">import</span> <span class="nn">json</span>
+
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
+
+<span class="k">try</span><span class="p">:</span>
+    <span class="n">sys</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="s1">'..'</span><span class="p">)</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+    <span class="kn">from</span> <span class="nn">dataprofiler.profilers.profiler_utils</span> <span class="kn">import</span> <span class="n">merge_profile_list</span>
+<span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+    <span class="kn">from</span> <span class="nn">dataprofiler.profilers.profiler_utils</span> <span class="kn">import</span> <span class="n">merge_profile_list</span>
+
+<span class="c1"># remove extra tf loggin</span>
+<span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">logging</span><span class="o">.</span><span class="n">set_verbosity</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">logging</span><span class="o">.</span><span class="n">ERROR</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Setup-the-Data-and-Profiler">
+<h2>Setup the Data and Profiler<a class="headerlink" href="#Setup-the-Data-and-Profiler" title="Permalink to this headline">¶</a></h2>
+<p>This section shows the basic example of the Data Profiler.</p>
+<ol class="arabic simple">
+<li><p>Instantiate a Pandas dataframe with dummy data</p></li>
+<li><p>Pass the dataframe to the <code class="docutils literal notranslate"><span class="pre">Profiler</span></code> and instantiate two separate profilers in a list</p></li>
+</ol>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">d</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'col1'</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="s1">'col2'</span><span class="p">:</span> <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">]}</span>
+<span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">d</span><span class="p">)</span>
+
+<span class="n">list_of_profiles</span> <span class="o">=</span> <span class="p">[</span><span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">df</span><span class="p">),</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">df</span><span class="p">)]</span>
+</pre></div>
+</div>
+</div>
+<p>Take a look at the list of profiles…</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">list_of_profiles</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Run-Merge-on-List-of-Profiles">
+<h2>Run Merge on List of Profiles<a class="headerlink" href="#Run-Merge-on-List-of-Profiles" title="Permalink to this headline">¶</a></h2>
+<p>Now let’s merge the list of profiles into a <code class="docutils literal notranslate"><span class="pre">single_profile</span></code></p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">single_profile</span> <span class="o">=</span> <span class="n">merge_profile_list</span><span class="p">(</span><span class="n">list_of_profiles</span><span class="o">=</span><span class="n">list_of_profiles</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<p>And check out the <code class="docutils literal notranslate"><span class="pre">.report</span></code> on the single profile:</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">single_profile</span><span class="o">.</span><span class="n">report</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="popmon_dp_loader_example.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Dataloader with Popmon Reports</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="column_name_labeler_example.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">ColumnName Labeler Tutorial</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/merge_profile_list.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Merge List of Profiles</a><ul>
+<li><a class="reference internal" href="#Imports">Imports</a></li>
+<li><a class="reference internal" href="#Setup-the-Data-and-Profiler">Setup the Data and Profiler</a></li>
+<li><a class="reference internal" href="#Run-Merge-on-List-of-Profiles">Run Merge on List of Profiles</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/merge_profile_list.ipynb b/docs/0.10.5/html/merge_profile_list.ipynb
new file mode 100644
index 000000000..7a6d8005a
--- /dev/null
+++ b/docs/0.10.5/html/merge_profile_list.ipynb
@@ -0,0 +1,159 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "60af5256",
+   "metadata": {},
+   "source": [
+    "# Merge List of Profiles\n",
+    "\n",
+    "This is an example of a new utils in the dataprofiler for distributed merging of profile objects. This assumes the user is providing a list of profile objects to the utils function for merging all the profiles together."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7eee37ff",
+   "metadata": {},
+   "source": [
+    "## Imports\n",
+    "\n",
+    "Let's start by importing the necessary packages..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f0d27009",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "\n",
+    "import pandas as pd\n",
+    "import tensorflow as tf\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "    from dataprofiler.profilers.profiler_utils import merge_profile_list\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "    from dataprofiler.profilers.profiler_utils import merge_profile_list\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4369e64",
+   "metadata": {},
+   "source": [
+    "## Setup the Data and Profiler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "410c3c4d",
+   "metadata": {},
+   "source": [
+    "This section shows the basic example of the Data Profiler. \n",
+    "\n",
+    "1. Instantiate a Pandas dataframe with dummy data\n",
+    "2. Pass the dataframe to the `Profiler` and instantiate two separate profilers in a list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d3567c82",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "d = {'col1': [1, 2], 'col2': [3, 4]}\n",
+    "df = pd.DataFrame(data=d)\n",
+    "\n",
+    "list_of_profiles = [dp.Profiler(df), dp.Profiler(df)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "350502eb",
+   "metadata": {},
+   "source": [
+    "Take a look at the list of profiles... "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b649db32",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "list_of_profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4ed4fc12",
+   "metadata": {},
+   "source": [
+    "## Run Merge on List of Profiles\n",
+    "\n",
+    "Now let's merge the list of profiles into a `single_profile`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4a636047",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "single_profile = merge_profile_list(list_of_profiles=list_of_profiles)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0aa88720",
+   "metadata": {},
+   "source": [
+    "And check out the `.report` on the single profile:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "34059c21",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "single_profile.report()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "dataprofiler",
+   "language": "python",
+   "name": "dataprofiler"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/html/modules.html b/docs/0.10.5/html/modules.html
new file mode 100644
index 000000000..db47e67e2
--- /dev/null
+++ b/docs/0.10.5/html/modules.html
@@ -0,0 +1,299 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>dataprofiler - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="dataprofiler">
+<h1>dataprofiler<a class="headerlink" href="#dataprofiler" title="Permalink to this headline">¶</a></h1>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.html">Dataprofiler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="dataprofiler.html#modules">Modules</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.data_readers.html#modules">Modules</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.labelers.html#modules">Modules</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.html#modules">Modules</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.reports.html">Reports</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.reports.html#modules">Modules</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.validators.html#modules">Modules</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.dp_logging.html">Dp Logging</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.rng_utils.html">Rng Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.settings.html">Settings</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.version.html">Version</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/modules.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/objects.inv b/docs/0.10.5/html/objects.inv
new file mode 100644
index 0000000000000000000000000000000000000000..30e28b373e80a861c12da7faf14a224a2ed0cd7a
GIT binary patch
literal 29194
zcmYhiV~{Rg6D`=bZQHhOoVMMkZQHhO+qSz;+qP|E`u*;miTPFWRPCzB^<-q`+PQKQ
z6DZl4ncKJ#nA^CR*f`lbxD&XTI5?Wy+7K{75fdml*jktvIdKt)7&saH_si7W%EaOK
zf$INR#6`eB$H+j(`g=#&%!I(f#M;2z#@NJxz}A$&$;{l5;J@_*zgHt$YdZ%MM@JK5
z0%u2ao4*7eR_2CuP;To}-CGHp91Ub{JMxI8Yo^?e@#j|??U<Db6&)8*%JUQ|-c~hc
zlMo_gT8PGB`b9}5j`g+mt{*fX6dxqeem^7-Z3m->rrvUtn07y#{QIMOuX}{H_tHAJ
zk;s*<sVhG&HE=7)8(+DdgNLE)GgEI)E8k8(D_dWBru-B94H-w^st?wv3xDjqZSPY%
zCJvGFj`O>qM>2E2pWY5S;jDZoICs8qV}e257dlBn=&EdV3j<Bu-N&Y@#?RtoRlKLM
zH7Ads21pFIS)A|OtksnzG^mV@dbm)Ikkbq0tH$vjOn<U?>l2pTm71s0SZ9_9sT>sX
zsJUFAbFzywm8b8b*q@wtv@Kl-Jk!Zl`B-O+?GAYbr{q+82t0zbvR8WyLNBR3kL<O*
zCOHRT<b>Uac3CDqX}&@6v(VJl5jJ;GfMB>qK>CMZ5qsingoEfSJ`naIqp*p(=In$;
z060Pk2hdSDMP3K;J*-exb9(hVrh7OFPH;rF`97hyZKwV1All>>upu{$-huZ!r1^PV
zsHR01rlk%#PnKCd1v_5;>DJAhgJYrF1N-5l)V#b5JDk3E6U2Y@psPBYM^qe&&|hyf
zTdaO_l2;^@Ax=SupPWRVDo=F0Pn&yTm+*X?JMpI4D<B54IrOOx?-8?(?6MzVl%Oz+
zT#f7+uat1ugYZ@ZBoxV+=_S+eFPVz28OxG(7TH{K>Hh1s8c=O5In`HxnpulO#f%OA
z&L4libix8cKpIk!K|p^}PYSKF%4t+;j*VsO>Z_tkE=7rxWeajH=tKTM#8-}5qJJyr
zFkX2_!N1zku3KxuEHcW@g;Y--)JUleBjH|NN<TH35KqTqj}g&N&=R8H8l`jpx}w?u
zL)9PjVQHAig4#A-QdGs21Dw+M`hyB0EVebGd*@$cLKp(R4BHFh_9SV@+rvh)jGY)u
z*Nzb~G<)mDizj<AfF>xSUWoXu!t<{FQ}zA&R~N4X)xuN1%>-gSz$It&{vikg;lKus
zXX)(-GZ6(F6hTHl=$r5d622|f&Mk}m<8R9k6|gGft8gPOq5d$((sX#kADD?OILu^3
zn4r)p=#YS66L8?X4$><ifX>ouAiskI3qk<<@@9rGILH=&zA+Xp01>AKS^zRC@Q^`E
z;=iv5Y)Rr#`h}CeJYJu;d_J^wbp&laJRoTsKGg(cV}v9SWHz6-!A{sbUW!}daC*j@
zb$ihv*vvqEoG=(YWn*&#=rLX70<p3^er5jS=#$og7*Nh*mwn(v<q(E4S>fImKYp=M
zmI~}Fn+TXFsN9CZprf!l{dHR-b^5p0ff@|Rc7>W8>YKM{NGk?e&|tARw*h+v;05|)
zWr&m*6%Rsu%K`OFCMWyiibAP1Y7Sxf7PKFB@x8n}jmux~_moz<>ve-xewyC`Fyq4R
zL5YQv=y&w55?y@*0lQ$k2>Pq`?7s-wo_-OScq?v!tNkKKJO4!>1>DCOmG_Ile*qni
zSN9#LAVgBH&c#0UZ@}oKa#B>(a>@I|#J)V*#Ei5{MNUqKoQV+u)`U7(Zhh7z$Meka
zSzeC1DlPiCwa1{vq0j+zB|f!o82d@#V-kNv+_=+s8@)k^Jq2r)$ykRtz!Wv6TGig?
z@CTw6HrHw%FT>7ZsPM;zi*+pIP7R7)1oTBFM>p)urITb}RZgV+okM*P&Rq2F`0P;+
zTXX)E!fkE1?x6l)xm(r4J8M4XPUNx1B=}5fg|W%tf;!QALyNG4A~7ARZO~?pz3$R@
z6oP?Kz3u!geP1H70yCp=q!9a@=-sENb&vFl=op6SCB?!nd^Hp7Cu!}2qtJ`mmk<#%
zS~PPHs@{1Q#ltAFdsP{52^>Z<TTvKRa|li(86lU>Zbh&>6N{DBz(PhGK}<7-5Z0v4
zMgmE}Qid?rvIVUK(#AP$K8#%}O&cs#LP&>Z<mrJ<H|CJwO$lO9{7ngL(%wxA;v?g2
z3oVNO?dvh1q=pJcVzf1=PY2u5;L{zmCzYGh2@~^|Kc=b!yP)^%cGd;dgdxS4Ca=CT
zjW(zE`)qF?gfiUwT_TbzMe}um7oq>3EjY_}(bzJ#w6`Gchy#WT$T7*dEHc1rx1*=5
zIrmT)%q@S5=PS*{sK34q9U03>Q!3YXV-Ch2(-Ea7Axa$QsO}xWogis=X5KiQ&WwB{
zbcT-oScZkGg_}5GrfpjKM1OPuXC=fmV9BQJIssyMujzInJh5?^N`pzT6VUsVjUIqf
z^y731N-(O`$Pi#RsI~9!JPiPs1bTvsapqW85kp+u*$qlOB99^DxT}Kw&cLI0weC*4
z-R_Un^jYdbuLC2XXbUjx^ksGZm|_%n4GiQ^%w#5!rvQ`zP==xOSx`W+cj8Bx1IdR*
z!DJPy1jG~+t^7ij6nA+ID<z(HfvP3M+Qf7eCj~?F?XB#>Mhh^3;HEce#$N7q=Mu|6
zO0D!#%G714BO%rv?`=Qyw*TR8r;rl)F{`6Yqc|yx8==xI7S==J{miWf!a|)@35iFr
zln@SxV+C%8Pzr6lR%0F^dC#XEBP7gYghVQtTiwIxmPZYVHz}vQ1+}xVaSio|gm8il
zIW6ZG9QK*=>K?TlxcKlGH>^-pG;EM}IWw`BFn(kl!T!sUOD>cCLN_GBA_^?uSHE21
zE2}b1t+27efAo_OE=2@`UEk4nTD^2&Df@U1d%d}vIGQ=pe%#_W&iuK37M5BV3Tvfz
z`*6$6m0OFysmw6>^dK~_?)r<x2dpz8P&p}eUF~t-=?0K(ah}i1VDC6_ds`N+h~u^i
zL(v60TQ28j9GXUwfXIW%<&lE44R+~7(ghmkF79TR3n>O;8OI!sLB=7EIe;CQjV)5w
zXM%(<3ggxkJDiJG?k7^$c;5$LOc%%%QswX1cNXc#cY%(By|Dm38k~Cw0~yWVcIN-h
zu(>Rz(%lqRR>sD`@viM@2kl2_VyFEXhB^w81Cd!5S+5~5zlISdv2#TL7XcnRl8XRu
z3&c?p3z)s?{(`{OMmYw+#lv^}>WboY+I~Z^yBo&~$8}%iibHHC-o<P6T6lN}xC=(6
z0?`I4j|pP4hQJTADMWVV8ZCBfd>YiBw*{79H){rFF3@HIDJjtgDu;z)gC&TFhV`2R
z;z(FFnL_9|Hk<q?cv$w3LBhz~A`s@n<k3m6rU;;svE5PZ?oC3^ny;3Ze0Xe5lJCyH
zX(44SyorvyFyqm-vC-XV6-n%dKt*%V9@)EnG+WBbiYyfsxv>i{{nj@ShM^{LNLX65
zAn<0Oj1lnG<F56>_bS)FMa$Yk+CX&rtp!GL0cq4>ZdtPTL0BYn+lJ)lN#&vmt`SRT
z$GJqh5g)(y7UABn6#{dL*t6E-%b2s$<BI5uZXgn$1I{}8l)v=er*FtSdV;pLWgp$k
zxw}xhvw7McBR|ooxZ}WlvD=b(bH_m@zHR@(W$4;LXLryyZ3r$C+oTIE(`&-yUE;RN
z<X;i9R})-Qnm2|}5ACJp5PZMr@yYir$zF0fvuCqex3~D!SjuJAuxJRZ<IY4Y;A6~i
zP-ClJYb^Ujb4!X6;36fEORtE{!ULZr6hUQkiOFH&kjF+K2M>-P>}o;yEr|BCBHWY3
zI4^*<KM+R`-PHhQHQh9>39iFuL=m1N%aX;t#4;G2zDp(YI(?D#LCy0m8pGTBTCfDy
z*?OxjTJ3lt>0p?nl!q2y%EO{5JQrb`&OYX2?=E(iF2OYTI1VB;;4MVSuc_In3vEc-
zU<$7C`<TjKhF<2Jscx^tC4KFKahc?nG5VMAF9ImN1dAb$y$eR8rgoH_7r0M#Byu>^
zdSY>hz3*FFP57uAfm-8NF%y{oe1z!9i3)4NZZJ<gT3TbbEuglJn<sTm%GY-7j=$#N
zl*o`N#HeVw%)+Q^oh}xpY{50;TmDN@{^zLm92aeb2226oNULNf-Xu#65!xIMn`Dm8
zd+Ef}E+?m%V12a8Ks{xbz=Yjo0QRQ;do^Yy9#%*o!8RU|U$ig%2WE{axNS{725Akr
z@Dk4+hriAe)R5cduZ`G;u;0UE(lcTT=<S=%<JxE~HpJK1ON05Yn5f~t+l}g&uJ`jz
zz~5tV6U3?@5yk%2L#b<w)nqEaqNI!N%e0y-Kv;LQWQSTt3o3+6;ap!j*r^)?QaI>|
zNUz|tkquYhou3OP?`;;2P=V`kxZ)8(j-~!~hD%g*?u7^}=5jiU5COImnBzEWhKNw#
z!M5Lv={rqN1M6_7e9Qzb80<rfC~OEIG9OXY*C6do^;~P5R%_y80}c<>W~6vb&WQE5
zix69A?1P(g!J<>sLfN9LAgNnmTY-3@h7GXl+)UEG(}xX^gmZYIKMDooo3jMKPxOrf
ztX^1E6?~-JLr29^vOh#W49-3*0D_P{%IZ*gt>D~~b2221sw!(@erb`pGFKun(B)d@
zIQP>Oom6$?1y!e#qLN8zrFP<-v$pK<Hqj;<NE=2E(&O1>wn&utY9m!i8*1{IIyxwO
z79=i_P*+}rF=e8J9HX7X*{W1`_s*lBqV)59^>~*Px8U85O-%>j(ewkLO}JJLPJ%yz
z6uW=DiO-~Wg(!h@wO4BWk-;65sD|x)f%-w6*>LJDot3knYabxdl+qqZzA=LXoJ2z*
zOE{s5a+)wa1@$D4ggTO#WO#ocDB8~3UW82DFv~B#hN;FL5)Er5FUT@_V^`!~v=Z=`
zDvr3qxrb=SHHSZ`rUwq9q#8bX9VC~?KI<5#9gsvpvIH*0lvFxgx>>aqoNO~mxu|SE
z>(#&^P9~WztKmGIyqrDd{3<k0hR8Eg5?OM$P_cRij^MZ&b?Gb#bP6%SR>l!ZqUoB0
z2#H2})*vFSuABgJwVsWJK=L^DUAP+K-@YbdfFsRgsALbAJgvD!LkFqZ*NY5doVWR7
z5H3L{iIzT2|01n}tN<i>$Cz0s>TIk@5@Fqmy%@W3M@XqNvb%v3th9NJcTJHFpb6dk
z1r^nGuioBe_ssfcpOsDE+t-&W(+2LzLs{J|Yt?!|lj}lG)6!2B9;yl8k2yN(r^dLn
z)tO;`%G>iZNuJM~m0}EFH!Jl!&%tL{ZsRZVsm9u>Y4?$IGm+B$86RZ`OA*=`+`oU_
zdl`2zZi`rM5pI=*vhBZTh11n;)FjlyT+Xyp09hn_Ste284Q3TmIbVf=YOQa<|MW)A
zUO4!N==w8oqGCLQLHUl|drV7sU()%I*w>iu)C8x!nfynaRB=9FkqG<jnd=e4==ar9
zip|K!G8usYpd8d<67mAjzYy(aH`o|jt(r_a+2Wid2n~QJc+8;3F(|mv&rRbM5We_f
zykJBpm7|979Ovks&nsaurFvCop;f%ITEF~;N;^2vW$y-h!q!$wYx+z<K$xhSSZ#y+
zzV@?ON^m0%>^m__>dm==GR4|imLatq%5TAb_vrqejEx-$C5kN323Lz8%TyRMGpWe`
z-0n_jdnS+DO$*%bKiv|SQBT<LU5s4TT=Yj<sowhBw2bzmVSL%y_qYC}dNX&kC=zc&
zU&*WJTs|xaVIY~<N(&2H2ZppB$kS5##SED$5J;m1*A~0G6J>i}E?*8j4Jn%nb{bQ8
z=0r4%MLZl)@qamL+1ABHo=$zgwNwqjn<}Remf9$r5|&siljV>2QWfs{10;*SmSZKG
zyqaUBn}ktfrOURm!{{EFSJcw@(#Wy1Uu*x{-$-umUzXKWJ&{%1N;BCV4~!LU+)wA(
zgPfkX9S`^muXTSVQ}G4OWX-U?X9>X56=fMB9EY+(uo;HGf;J?8zY=Eyec*&9XQQy;
z+lBn+W+S<`$l81%BM8=VqeRQhWMi4s#$h9**vfZ9bxY1@@#xhyPbFhgYMUo|WJ`{l
zHNzblcG=9}J;jnGHWIAbWv>GMeD(PsIoq?#duAw^?d#PeGnZq+3%zEcO{v~ohAZ+{
z_;SPJSJ-lumRW+Y3?F=E6XQ9I<SI<_@um>)B34S<nYp#p+G!IQA{#p@!sB1d+sGX-
zd$aF}B11M@KssM7Styf#*ajh=POKj;Dwu=!3S-`bIQKme(O&Ko9gfi5_Rk^WfAJg`
zv!?6nAFCC?a4k-0EM}O-=!u!9C&<(`PHdxCKf@&cVmo+eO*0HZab_!~Mmz}Ne&P+;
z)MyC@b2^zWxxcC4Ia=%-!?yf!qYyJkzBki^BEI7$g0Sw)vE>Bmw_PJ>f~_|XoUPD;
zS>1*H%3))C`?Gm0#icmJBS}q{rmr{TI0<6D0cQ)0L-d}u3<GI9xt+Ai)(`xeX38Nt
z#0dMx(_(Z>_KX^yk1p06mJTD<9Fnag+8mn7Fv>hk2?T9{ptOywLa<Grtb&rASs;G^
zja)dUpwJd)A2l0?MSX7Kn+iW*Fv;2tUfaqEX%wO~k0gPzPn`tLqn}xYtQ=G{9pUGq
z*@jB@Hpv+PA7Z2)82?AKA@Im#;>F%HbRUgo>|Q(vcU9V7;&ikD95qawser34iG*PP
zM*>WHU9hq|gpfs6+`fFRXE*$U!~zLr6y$Z29FEUt0(m^9_R@3QZC)^m9ehruqzQn3
zC(;<)Fav!&U=fhd>km4(o{pl<wULXQyt9ux9^IPXB>4%_Z2F<lIsU!;P&F5qf;h{q
zHYG_()Kod6BC(c){;L}rl8Ww+WOVo$vGD!?HyKGqmjtHAm5CP0I^g5*%bU3`@3?pT
zPL2B-$`<IS){3*uE}&mW<Q^_hhO{BBwuI+LWh0pFh+-PUA?Ut8dRMtfGWXw<4P$oE
zJS+5KX*ws`qnMZDR-_!zEg%<>p<{mGL2eViKx{yqQQ-r_hHS(-fA{Ixu{M~$W=>u<
z%uS%LRi<{(eQ%SuW4AJ<I991Rrf$*-YyWm{ce_l?j73J6I9T}9FxNpAS*Tbzyr@vI
zFmq90YyhcnF>r9>Az-4T<pIH30T}CHW3uULf@dm)i4XpG!=3&dt5Ax~c4LSNnD>~w
zpOTo974mVh_71v!LL_^Gb&QMxwvv;dAyh^#%7u#0oVg9C^r#sEFM{av?veZ9#FmMJ
zTV5bQF0vfp<60FS4-J@-)}&rc6neDlmPn6(GYM%j30jJ<m$8GpOh)e{#`vxAkp<IW
zxlD5;>UCLEU}2yKiPR!<d?j~}JhgY_tX)RPyrml`^r+H9T61I1_qN6^6_ese;DeGB
zTQHIMfv%!hS~=#eO|QD>H{^n}05s;;)ApN)8)*g3q>Qvc<a9>aLh__a8bwOmF!z|0
zY5#R{>}#J{O(Af|pOfuB5i`mRYCETBp}d_mx01e1Upz(2XR4g57Btp0+6b8G5^IHs
z50AF_cNH{vD`RaXZI`}Lw;VQ>U;f}t{6qDOi#%5%r{Znbp(95Qp3Pukas=yXX!E%`
zpp~^HHag&w1mCaaQ?P6Jx7a?)Z(8&q@8B=H{iVRjn0=JMP@z4H0B!6jBOu=SaQ`T{
zoBeNZi9Y^PAc!WOMq*2NU=W%7^E+U5)Y2ZP#)(EG@8IT-jL#0Jy^V0>IRrSKOF)2-
zybTEWFs!}co}#yhg0Y(#9txU=3ke0qw}+XY+dzo)whtcJi)}6h?$UnGTCTco3w!4A
z5n<v6`J#CBs7VWoQ`}RYhts>RtSz|tO9{JwP42>htM|-3_Qg0X(It#HcfunY<c9G;
z&l}l$z#^{TysjV5@tnW{`}5fgCq!l^TuN2HWq*0bCmDxz;Yx<!`eifPEUOnSkIKSI
zKqBjR$A<hr#ItxouylOPqeGON)&#xPp7Qh9LcqElQ~w)i8dr&Ns+{^iH7WX<K4#Kc
z8$M>j9b|e8G3Nk6nf)44NV@k*fKv(~jC%)lt=UDSO?KlJI^ek_HO{+5tW|>~HEJrP
z4>U<CmJw+sE>koT3jL<9PR>?f(ppp7P(`Iu)@gY-vnzGxA&$|wlvF(<Fz@TNi~&`U
zW_95kf+{PQMJ|+yErF<31uk_h#FE_VnelnJRnd8t;FebFE(~vGh$h_XgC*wRSloY_
zfTJ-VuLO)hG`MH=6I+3wAYt~!7=~q*flS3nD!!Sq6BfVHL6cB@!DO^9mO#6cRD7T)
zE<9U3JGZ16s$Ws)z0F~~4>C343XY~=@@!q0-5S`~g^R82elBexzRGz%XTIT72C`xS
z`6a)Y*M#+OWtZcY<Ps5wlAlx<zI!~7ehP7jm+Q<cj@P3=SRJfEbVRj{7M6Q=q~=$R
zgQW4&CuQ?vrO93?Gqyo;dd6k@#xvGI5?jK(%ixkK(}}ecJXrlpYt@kL8a!D0i>lRn
zUrHS)xo=6$?rpUHB6$DpX&@3^(83hl0Z=20V;w|gvNlo<eWSqMM`4i7&iysJX9gy(
z_TtxU4?f}I>Vw?(8~Q)X52R)Z87)i!JuTHT1eNyG#^;(Ve0kMQ%#$L{Ha5Z$RP3#O
zbt6;$=G2=f=bc?OrMt5ACrQn6;8{iI=CJv-zM9NqRQYJxEo3p``4p9VP*1Yxs?UEJ
z#;E$%6HuxRtU<k%)Hei{;g)BcqIaP`1TzY9c1h)JXsq&c4`g8_=AKJlAFFL5<d(Nf
z@*ZhvMVqSoWz{xp2_IM1;!B>%Gl5R~%(VvbP42EHwkO~@{;-9xS|w1GF$VU4Sws<3
z`e9j}zmFyc{a|exBLig9nrj00`b+vvLk&FlA<KgF<$~o(=gA+o{`m>)?zuQeZ7P@D
zo#i+`uEi3~!`F6pFBZP&;Y`MLbWi(4bsILtuv!!KGO5j)-XJ&DdIU<`X(xJ&P8pYW
zCIn41o(GKJ!@gr|VMx1$HXYmz&)=JXu$UZtQrt3w@7mmgr{TwGNVpRd5n_5q7*yAF
zJ?Q=F49b~ZDVdlqm_XSN<vrlBtSBWv6{r2G!;j2@PCa6;gxEV27pK^Lo>{r42A!>^
zFzM#RYdoi@eJ?8Ka8y>bM9w$;?WneUFUFD<iDg02Ma897MqH=jeP>11{mtD?PF;C0
za#bRytVyFqIa2!fYNV1aLE~mfTDfFx02B{aH$HtyW4N)$^|KoHSCxMb@JY#M$;V8=
zq%CgT76^sJZwb0m{w)~jJYhu^@W;539Ha6-f#`Wgbfj0u@r~7l@i=T;UFGl0QhP#l
zv6(KVRr%Vt=EHt)c|8Gk;M{8;m5!4|Y<H`9Ast{mB$n|5t@!}Vw-+y-C^yxFj3^Gt
z7hx|S@3<OWr*H$@xu<TbM)2n)7gB=(KUOHcwE0k;IZ<|*b`gN@jyduMrn2b7{)r|_
zZI2pYks1+3z~_WA2=wC8+xbIEbJrPYN<y>&_-(^B#O%yh{_>@w6Vnz4RqxBtLU+ns
z$#PC6LvUn0fqh`V7b-U#&#mw(VxRp^PmDf*4=7~-qM=ZmFIunO#!FlYR?Y*yWPhVZ
zZt^V3?a4@?-(W8T9_;o};l5&&pf@pN2&m*mK1Q2uv7{e=J{};>UGfCR=_`EkXx+XC
zn&Sfb9G>1EF}wLFehnQ`7Qm;kV2Ib9cWlFXMSvdw5fHo27bznQ|93EN7+{3l>{viw
z-cn-xpW;;vF%-$t2J;8(+ounV-K-^twM$jQ#MCY{!VA9rFuUwa7wm@7Fp)w@ybODm
z^E8{$3p(d7mW;oWqU+VrwrCv8DMK78EdN)itI{Q9L_vintw+GCAYp``izcs!-<}I)
zmVb(?>E2LYEw{|1Ow0M`dp5R|?vk~;Xg0*y-@Y|cKUf_zO50!0Gg{qWbptGE3c_yb
zcLklKt)nLqYWv45prHj<vd|#ws|u5^`1$nPpQgE3#8ORUML^rKD1X<sqXYX=01!%y
zj_3&s4#`j3EKxW)%I9+3Xm7A7R8qm7%08$9Fcz87@N9FC9xX8@c6GJ>SWRW<T*W0Q
zw+Jk$hf!X^emZk1x(<$_Ue5G=`q{+kw#t(;J01kLC%78*722<0mA+tWx(zGXOMlte
zBOC^prERcM{@2o10ry?K<@c@QqGH%FubjUAJUi@TJ29%H=(BZqe7mz)xb?N;Y6=Ni
z_i>hY%;SKcMAd9rq4O~5av9q7A@a%eW;b^IM>|cxfI;ipq4+~LsZ;IfI`drjwCBco
zM>=2bxMwB$Y4@5OdtxXMk+fvzKAk5c^yyHCeB}#0Om*z@GCg_9yGCM_|KwgK$nJSa
z7X+7lJ4?%S7VOJZ@#}l<U#Q%Zf>SE>A9PXI2D5)Gi`5MV@($d!9_dKlPDQ@MiSL0g
z*2TV$B`f^Zz{2h-vPF@F(%whuN$9$|5$vpbivhWOU(3y%^1ZO4*Aas|Ps5A!6=tae
z36@5KPO)DK?e5kK?8$0iO>0d%N19qU`>B<utr4Fff}NI;V@NOF$TnQ=S){Ioq%Ypg
zSG0F6f3Bb7y#2y*ujz@_Q@~w^a@A_^Cd7^S=X&0sOYKv~{-@ZWo-KUnw`G@P&o*JR
zUMbtpEth0;Ossx4%?BM<HcPYwrngt8e5_^WV${lcTvk35Q;FL4@w!0=@*mZjh_x(Y
zT33%`Yr0-{CPIcoM^oSxKivbLgD<IVS#nb|P!=++%{@k&+$y{m`>1}++MI>~9LrUd
zJ*pB`V{^=3%3~ELwro@5MqU{+9*q>O<??JP5QoxC1E=vTmN09@KwZrcI1WeMC*6cf
z(SgYzN<^OC^iZ52Mq&Tt)}Mp>w}it0brxieilw;{Ss2?6G(m3SQ{VZjr2`>WrxNOT
zVkFCD4*W6Kvckv+B@{u~XdV{fMpxXzzzy5K5cK?R#Nzdo{W<ba?uzSVK^gE}I_>c6
zLMt8ovUIM#sk|x9CsseeF!4?4z4}glwSKwtY&UzfWL}L8Nwz-W@<q13LSx4DQQp(k
zO-*3UG*|cTeLNa2WA((Yc=I}&xY>3+a;8H8p94f6UGaRwcYh11nlPf0O*d%9E;?+j
znY~V}iL(MeFmamztP5Un$_<USWYwfD{Rf@t@_ZBVvV?BB5`s~}Iu@@8bMqic(8ilq
zd?Y~u=ApPmmdK%$X(n82VAVQ6|Ib$eaAo7$7I&z4U)I$^%Sq0zjJ92V;RMZ$v9FEb
zVwg`BFVkLh1AVDEo2g*?x?~sqE%21x2OYTTID6uY5}Pva?55%b?V+tB0hz7%r13rY
z;&C(FCb~Yd><V0CZrH1-W9K0?+J(u#?Zce*^?6SZ>ZVlZV?pk_DUtuGBlnT)l5|Iy
zH&yYjZoc1I6~iP{FF7wFW>oK~CCq(=)AmpeO|JIkzLigbKa9eFzey}pLxHt1ptB~A
z$%&$@$ufG2zwv9O-!)ymGgVr&3pWcYryTbcO=)K!>2X+-Y>6wIY8lSTo3T6H+PmXM
zj&%Lf+;YO(mrz}=yrZ`nBDm_BDL3D4eaDKU_lXIr+L9<Ngjv4=l?0SWFf`yt7^+tb
z3SJe4zqP5AKXXd4F(bwvJaF-|*b`JUadEQPlbo%vgZ+CaiOii!O&KYY5Z{^TYjEo@
zA5_7q?L^4**tqb+rCP+uW7?A8HRRPyLQkN1Dc^6c?C)6SYa0cx03WcM&5U>WSb4U#
z9mTSgjlh-fSqb%f%WRGyp66bn;Wf#3uh+81iVKCcVx&&)+&fr!O(}nc+JfZedye>%
zN_EgOypMq=qB+%W%SZJDU=3G{k&NxO=x4m6Gs^=7c>-E59?koX^=ayiugbePY^UJh
zuCB9HC#?plCszuVsn0{Sx&BXO1Sy-R5UF=+?_#pO$mMcahy(xE#lxry&Fp!DC|-6&
zPa0jB8EQHD(g|Vh(|C!!iZ17uc&g9m!GkC4$n4EVQY>ibwRWLRGM*lFf+&sc!A=(y
zAsg(`_rc!54K|w2{rg5TD}wVvLGHS*Ek!c6AOTjWgTu>snWefwmgHDRu`2)L(;C@g
zjY=55D@7i+MElh-U_BJb9D5mVi5(984nq6-ejX_iSG5fw*7P$XBLnyoa_sn&>LGe~
zGTgKZ0~xXfH9jgl)TAs868L#eu>m|6AiSf1>zstwn6+)}dD>^&R<s`~ZdGl71Ptm?
zeL<ecULL6-XLou>_^w;*5eaInpQKN2NHAnxrx^*KT$PuFM1^qZAp!EZ^F-PNZBhh|
zptXt2K<5r2=a`5?w>)3-OF0q)1Gp1<@Wb4dHz<nhBR(KN22dqz-)j3aMbYs(e<Z)X
zfNPw?y&gu%v8q2o(NRkKbI1PyW07fTD<R^9#hLr~w8fXp0zG03#GLzh+|QKD5-z&m
zXU=yv2<*gXjvPG{I_fnain{5AR6>9xoc2}(Pnz;}7$QPb8vh_kKYH~b8K}$ybo(GF
zk0$USnfYtG-Gd}PQPsn^Y`R3vL5UJyjaI2rCX?Mt_1u@j=A01-07b>l1N!5oL7e%_
zBhM#vumd<nOZzPh14MyuhXI%>OMt5_g?7^vTGNpcXJi(I+nZG`Y1&W$qhC6~>zi#l
zt`)TCo%d=k>edV3xF|))ja(wp-=BPDqDFlfJRUOPX{%jRA%r`ONh@m+7#T6}z?85(
zCe!Vc%Q}<!Qd<0BjYF@QErSnZTP3oDgID*Q*q1!X91R9A__nufX29j~tq>8IRCalE
zkmvT%{>Y)*^}0shx*g(#NClW3duI2)qty$qu;CbVt}n`|&QH8Pvbp}86QYFqdgfa^
zhX@&Aq<Nt<X$Y44#q?LleA>JuI{{OtQEND5$K2A0FvxLIc@ydmY{KaZa80pG$re%K
zccw9Zr~q%~)fzUnP$g*hZ13>o`xO_5IsMm8VV~GB&frvSwG-&7?Drcg_hO~b$c-_k
z?*tu@A*Lc<$h`ip1%`k}1jw82&Lh+tjSG;;<BpELkjEsb;XtKDDe$nfT`8hWEV$>;
zizW|Q*%jW(Sf&DI;j=dIv@$*}D%pIoXCGKovNSx<vTQ{$qW<L1#7yv(JZk;3+9+M!
zAuJ1cH!u<dFc7qe>(=gejlCE42V?dEJ1b^3hWQ!_YRgAdk;}S2=-tw@#Q!tNyIW#v
zEk@BjZC@X>;Fab=(<>Ggs>Y4QR#Mj<J}4z@-^H~jYv=(oB~k(9XXyl41fA#xY^I{{
zQp(MXtf|are{XHC%BMVniwT?e_dPq?jYSJ>J#HA8y;&dKe?pTv>Z!_M=hr|Jf@EzE
z%^i~;cg+U&8?V0x`rBbAbzJaK?w>M%0i|^RHy@NX6>+wC@Z^@Hhwc9thIO9G@zwIh
z>qSx5nkx6ex=k2zOk8E_`z|Xr6xr)wGz6K$>+Ei{<LN0Ex2HB>HLLmJLB<E<4=(|!
z73ekTl|XVcZS|2Cq=WwuE2%Rivd77th!m@yvwxy<yup8NGHa8CGRA^2@yR9V`bE4`
z#!bWggbU-wdjH_<e@2WGkIrb6vxzWWUZyeNF)>OUR#Uy&(qua^<c!ze&I<tkOnc2X
zHx{LzGA49uph3zEJ#sK$UOkxzf9jB~!+}SShdsc%)^80RS`jviV%pk7&YHrzkjaFY
zEq<NzOxo8Ix=w+f4Do4W;maoAS#dRR=hlB!^Gq_-F}hBG8Vhu2V<``J=~*Ldc&FZX
zCGbqr-vPfy5S-V?g^K^LlPkvGZ>nvhnf&n32j!2Wr#mte+$r22n-4M5FcpHZZ@82H
zHxpW9CR+a{kM%PkeLb)|bO7NYBZt7u3Xev^?9vQSBPRd!0*?p%^xTXgBKuty)~7u{
zF8bzhvHd|Ksq;Z78$Ku{gmA)1<;75>e>_gYL@5hnlx3+0&u^uIRCs`|<)!4%dG4jM
zEJ*lml%?>9%WuaeG9)XMMpUf|R1P4)S(YEKwz+1u(4zNv?4!^2+g$zIN#Tbb3s0kb
zFaovwE#U)ibtOO{`!V0d00NMH28HBIYYd4>Zz0#*l4e8P`ici9nSNqI^<+C<>wBU^
zo<AWOKw1t16ykzl4t#h~$R9&EL~;WNra5>q`2T{o=x{QzOW!;ZeDaXp(*jm`+$S#r
z>w+_PjTVPY;h1;eg_2G7ZIdG9z?k3>LJ&NK`lzG@VEFhEB5)N707?kh<lDLg5q^6<
zAd$vaQgI7s1X-&mOKfwiRl6l?f)e%9t+WaCl=j_!sUSGRxJ&!E6oNF!r<EXGE$kR(
zIhhR&d+wqyWV^3g3p&9u;@Szo>W?76m;ZU0{a6NIh!<XJe^N-Hcv~8Xo(^(|_$b8A
zfo&R0JVbs*^EbAfRh0VR<?Z65d<F)k-l({DJ*fEoom@{*HO#@`1Sp^i;S!9RYKj)B
zAe*=e)%u9UoW(8Le0H5A{H+%6^tm?-!3S<{A!909$5z5b1q)-!>9se{FzFh<)h;b5
zjU7HkCQb6U+{u;G<KyLF(*KwIdH!hgRqZlqF@VNn3=}nZQPdmPv5^>ZM$2fpbK1-(
zV;1cr`pL_>HvmjXtceic`AZAFAs9^YSWk#J;HF#L-)-d>tfNI7^3oL_9(1uLHc=vv
zKRs*W<mjkpXGbKESZNw~NQx7cl=n0=ye0<40sfPOlJj#$<N2+BSb%k$8{NjGzv`Yy
zU`zR<dfil%j?2wPZ#33Ti%;U*@^?E2?jrI7D!ijvo0OTLD}2B@T;2MpF5RJ?`j`4$
zfjg}Jy*7SX(wd#MGhPG%O$)_(Rfp8a<wml`%h)^zOu)m<`ptH0tYV+*Y{OTpOlR*F
zEEw_g4*AvQI_E_E>>U|D&ic-2c)Gr)WgcN=_w@1ahK*D%e0X)hkHNyM&C|408fXNi
zDwYA3`@Gk%#JfGs^GTg$>MqcXkR+zmFzQ2bIGiKF)uQrW6FlfoMnGjdpuwVoqbn8O
zMVF7Pl%B0HgKQ9q4}Hdom0mWz%J@V`>At<Wn1l(7RfGheWZUw-hvWi+Q@I=Q;d9gj
zm0(|QAACV@SX%~egm+><1KgTYPE<+Jk|h+r5G1T6t0y9;Mhe&B(gvb3Hf%nRui{Dt
zIn=r7EnyNuJsERIIT<XnoiD1BS8)V~n3XN8ld;Y{7k_DmHf~!llu!?nxTPg_fH@Hf
zqqRf>6Jb&T2Mn9DZqnO9xSPSQH2g&aR~~YSQK(b4z)8iRp}z(!q3hv4FwGg<6*zzn
zh;kk@S*mZ6rdlAOlCWj1rknya9X3{k1W{h{rT0rV!sg0?<9Kq?IB@+Kr9Wcb9EGkM
z*1=$T)R4(emaJ%Cb<k`K&Wl;|^jlUByB$8j%MucFD!QT<+;sH~)d6wz=gR)e=B?WP
zI;f<v#uq#ut?`k(WTZ`1#kF2^l4zA=LP$#0K<1pcT2KL%B!{VPiW2|)7bfCVkV(Un
zEJZv<@1RA|c!wTIVXbd3#7tR-Hsh-atUaQ&#TriYOK#8#L|#-#)3_|;Yzdz2b&Y|{
z2N5f{WgBVt`!SFpT+76qZOV*zs)yWsP6C@faTu<vg6}Pr?k<d`a-ire3V3X&Z6jS7
zremHG`#jqCd~)=?_5WQcBLu{Ax;fTROW~p9#M)W$t%HY^pavuXE@}x=cpUQE=c9#y
zuMP39?w5(q?dEXO@N&OFXc=syK;5)*#d}V0#$LXJ9T1_6+M;qajCfh<Q=E|NPbch|
z3()R%aN25>E+xa?lxb0oO&Qshj8b5P1Iz94h<oDZ+i=r)aCN}yZm>v)l;(HkFek9{
z13Dx?-Eg@;4ounhNezZbxW!ujf8%~c=hu&EJy3>r#H9y28h4MIx2IV$_1d6DcDs#C
z`xBrJfFMN#JnV9nST;!l==3rUh!Cd_uOg^M(I><>q435To7oVaY+hPaMHj*@Y}Zk~
z5~)Nb-;U{Sa>yjW$2IzmKw9&Nl>L|C&m@Bl;Oivl@qVx23BlZBQR692#!?Ut6j(EL
z<0yp@VKAbywKQ1)CmJjPh@5%h6li>$L8xS~^=ErUU3RWQhHPjBUQ_e5p+nJ%q9P#>
ze>kC6>NvAy@4~8vrtfLIgo-^M8xY6yWC3V5AI3lgSwxGYiP)PQkg`db%)_MMP1enh
ziX6Wo3Mh%JNid6pV_z2&1O;Vm#u8+ue>NNB*l6R+BeFv0-9jZLtRsLm>TLxar^N(S
zHe55Vav!*q>UAB5t}GTLDz>a`haa{)-|~a##nCUh?F`-|_{?MUiP)n;jHGUg9QAxy
zk6teWM6z}peDc@oO8^+D$}qU=$msPG<9EHDR(qhz+JMLu0w0>PWrHD=?gA%j!Tye?
zSPhru8N;OdL<?oIqDL+ZixRMKV`s4mSD;bIiXw6e!B3--D34YUn#7hCMtk0iE+gHQ
z@7x9n-uIdDDue7Z4fc;WmV_&El}QMb!~`;%P7@8HD%c-osliR-kd0qf#Kfo=uX6%r
zKI5>c!s2?yXq-XN3@9zuoR_H&lT`;MLXPPZH^(WSBrL$q;4}1J6+|RRx=nCH1&@5P
zOMxe_7>#()9tb0#L8aDBzeIn!RG&`Dt@Y5{aXNMf5IWcRY<H*f-)yH8hYGr?r;k>C
zhEa0!<1t|dqpCo5LC#*P5^x8Y<r6x*ihdE~6rMW?kcC1OpC^{dwTMDTWh80uudo(0
zLTO&wDWxTuA9_f5<y=LQ(48kZM5&91&(ylxgH}>e)}B74zFrEUnQWqv{l)6F5f)}Q
zV;mK>{Ikz^!FzYsLIafVOj^8bzKoq~bjq@-WA3s17Cko=c%RiWYNwS-M1a+yew5Ej
zdH4EM^;#5&){etUMvC1Ihn8#pv7Z*%QH0}Jojd#&r?c$1mgjE6PTjT84Z3ca!?ieE
z<3+u;P#?cF?4*|GY{O3DB=QHzFVc6KYvIpz2cJYAx8dBZy!}19pO#ut{&vUeX<2;O
z<^LV&G&5^Z2Xa_pbF;J~p6Mv5K!xo~BWCa+RWVhFG^$r)hx^OgsqCDnles_CAK3|p
zdUbzY)py-URrgWISk0F<)iEe-?hC!A%b*2xMp)EDC5p3Xyx%)Yoywp4P(tT3w)fV>
zUrMy1zZBYv@6yjYk4Sgi^AXS*`|@^{g!|T0p)pdM8q~aIs$v&i6O{R}XuU_!#TD53
zn6q@|LD$H{Pu#m&hi1iX_vH4{>1Kr~>-1kqyh45h;ES;Mt%)r$lD$#bB32G0P6Vw!
zAfzKbqrf%(AvBv%Zt4wH(pz@F#e@*OevsKzuUf1ke-Ew;4mX8yA%IyTEd<vqfP_Xi
zj|M^xn$VsH)o3%8s-WbgE)P46dUk^L4=k+f80%VH*BZJWB9+<e08M2G>AwaasN~Z8
zac>hA8uKzz1$JxYAVYL^VPr`4;UV*UqG@MuCKms&U<r0>mY{-EjKO;d4QUZdLc=NZ
zWCjN3*&~52GA<-UXz#r>=Gs$2<=t1N6PQ#YyiEfCzPG-!RMY+oNk_tDzbv2Jl)(OL
zf+MmWS{G)xAf~sNTR08Aj85-(wuK>%=nraT`M0pgywX&{Reu@E{C$+otcX!8H*Gcw
zUf!D4kTDYP|6lD^x^D`C%O|1H>MF1OIHoc!W7)bL^b5U;Yfb<$-c|J$nm5#W5IoDv
zv-p{O)@ziuHz+MIKJ=p96{alEhwBJKOrjq|0#nWkz<#`>rI3ts$JT_$wB~`;+f1eS
zC9o=9?Ryk_^Fb5^CUicJ<`0<2p+L^@iW2CVSUj%bfA-EP+Ccv51thq#U8)29Q<`=B
zr41x6Q4bM3ZF+g&^TI;dUc-zu1|v^mL107)NUGJ8ZWyd6S)8>|prr7PbjMY(0dkie
z>I!Ipm4@o9Bw0@v5|50dAY4I6R4wyE7{m?$xXQ}?YEXfWCfejfl!Qjq=1wgw1bK8!
zP)cBg)W8GfQ2%n@;dI#=(uU<<Y=zz-LQRe||J3?_G71jW1XztFC<rwmHS7^M&<<4u
zhcGle#nJlWs*31Wn7u}JQ8gS<x#<iQ`GpWxP#&g~zK#=1AQQUtpjvL`(#Z`WFL8~R
zG`=PyrBPXY@7JcRevMS6`ZXgWNw%6AK5m;VffUAt%&lrf)5h*`!WM#IC6t+-YSrwY
zoDj&09E$3Rt~sIA#~98DimA+7gvc5Spv*CdcNa7qwSQzlNfE=Ai(F7?<rJ!^5=4Zh
z6{_p3Iia`q7^(@6YE+nkv`!c<35lyeCZi?RhBc#gVhK$ni96a*)9G6WiIl*qWi9LE
zP3+QO$zM-Ja61G6_~p)D;GounoGa{#Sn;5}n!APhbp<9**2)go#<F@+4Mi%U*JY>o
zIk8}by(bEI|3?|}eB#P<=Zz1$I9F7#0#F)S!MF;33BzztofYh@!D7(K72}CavJ)25
z*4Vp-{)EjDvQt>oIMQ4|=PezJ;4<}1oF;|jppF-MFz3aRD_unyhe&loi1Bob9Mm6y
z;e-PsRf(S6f9et{k2r?t4g0eY>JtN&g+z@XYDiF?mjGO0XBFpF?%j1sRZnC=N}|L0
zN@DCJfwNh3QizzIuR&T0*8-I6K^b9P?ZzQI?LejhGzBbKvoolVyT9y`NsM2SK^;K`
z8PPwfF$lG$lm}7NyaWOa`j<|U$GQ3Fvk?_B5s`(HgL9erqBdzG&cMK+fh>rK=tr3M
zllc(vDlf**K(fsSnuSYZJvsF`(+MyjO0YxU<^siy{DcSo2*mUMc8ExhU!Y#g3%-W(
zeeyVR`Nrh&_d=m>5{I74fjoE0au|x_ac01wj?akSiVVEsFmky3<T1LzA+{*@UEcgH
zRj(_7xe>@7jz$}O%@uL)->`rG?zrIx?B6LPk4ikv^D!c?#GO+P{F0~`$$&K9e<mV_
zwtoaiQO{`f|CyAw1ITDVk(nQZy8PHT0@v|zNtv5MX~i5IL!;3i7R^oK(&!$TA~2XZ
z$skRWwP?GhDG4YeI!Lhgt~z0J|Er^p7{oh*1U@VLcNUP01Bhz-tnxN+F1Eatu(VcR
zG2<>QJG&UM<NLO$^-JDC)02={dJizcV3kGU<wk*U#_P)SccabjkGx=n>1Fz1-ju2P
z=AbjNG`CO5R1IRZ09X_eC_+-c97i<P!XTne{&x=UQD;2_(_l&QR+63eiL;@BQeFaa
zi-e_*5j7JFYCEhnYg=4tQc41&FiYP9Pn@wlYzXygBKaUe<+HiMI8u4LQYq=*AM=&M
z0UD9`T7hD9k9!SAB26o)&IuG#_i!&A%C~?&b;(62(h}jzF+Awer>c?jbjZOP_(Xab
zQtd=2hLmA$uoPSSu|E~?TMqKh9XbF01d*OM$jm3>gMM}TeG}woqxr*7nY9;09>UTc
z6nexpfXK{?ez1Yv#`9|vGuERp10_DBt@+EsGdedlf+arKFhjJB7!M&$(df$%{Kcdw
z9)dxh;*&uk_)7$!V$MO5kq_`GKCQZo6&_xkHJm14mp&)(q^Kmtw!nzwm-E!u6ioi0
z@H;@REs`bOCUhs~?}L;FcY)$zKxH~+%H_d6=ZKSu^=EtRm=&ycju|VCjtL9Wlo1<_
z_?R9H)>tHdT7wP8C8OHUi8L?XG{o=;kDcAWg7_fOl&@ir&4$cSRcH!h>T>Xs*=8GX
zUQ~>DPupnFK2!rt02$X`nK_cSwB8Y_GUs-2=`#E)Ph0ej2JpxV(sO)SGcEwOVQp}o
z_i?hnC?JZu0dp{<^>i&j1s>8Fq!A>#Fbs1bgawkbh#5G#P_7ZE63_75%oJFx)}9$K
zj0y>k-dS-;^dZA}$C0igAxAVDkuVvNQIauro+~O{+?qPiINbER>5AIs+IUG=2zM__
z@}O?eYrG&hgr&kgVOrx7XS^&hq~>3_Swajb^>5Td$?Ja%YoBXj;h|Jq=)nFLDKa-4
z7`+@>M<zZVN1*b9*;8d{6K83q8P~RVe%TLNPqTl-**@6cqU8YllI9pC<6u@DFyj#!
z%JU8)SlH{18k7P6N@ze6S;~Prf7-kN)$wtQC2L|=_xmr9AhZ5(g_tuzX>A|OL;WwB
zNHBh*sR8DH(R7Uc8%+{i|BI$%pWkT84E&9z3B0YAnef6_>)ijGSHe7D$(gQ{pdC>5
zvSq3yvSr*vo+j{d+0tB2ctksVx#rnQD}jy~-K6w)bgSh*R~Bcmd)~Bwo=FM(W(&?C
z8?7=fCcg0#$Lmh(DXB6{;@nC1{~i++GET`%JGRpP=RwF4d)-d!Y7aw2@t%{Gr$zUZ
zs}v4g{-MSQ08jg?h_E%{9Ic@BZ0JQX39>bqLEGLMMQ}nL$YacWms_A_Qo=-s7DPLF
zdTm0&$|Og)o9=Qp*2gZzX&#{~RZt6Jl0>g>MAIKC33Srvrp7n~ZcV@p29TV}!Ka~X
zL7-`ze1XHzP}kg$-qx(M@A&_iVlg$s#j((Q%ht#9+%^0g1dIzf<>>DmHLI<9%FW9P
z*G_Lo`f1p&7Lnq2u*1x#R&!34h#k_om4PTZd%!6jLKgUYK1lTUEN?GA1&GKR1zpeh
zi|ic{JWM#<i^s&pzP#$_ix&Jv<*!f>D(q6BuUJG+&6^adz;iP!(?$0z^6jc`V|d5W
z_Iq4_cs~!=5jpa=!ER>y+cAg;2K*IK@R0wvokX~s^=}U!-rK#?%z^{CZsjlw50h&x
zkMdT*izKH4GELK+w+~x8DMbcEhXSKU7(Y1oYL8I=1el6_?cf`9Oo@^n;S43^0J6{D
z)doFaQq;k|+lk^oDQY$XyQuUF$=@%ZJhB-9p@E$xOd2x0&@^n&-G-6<Z!Lr1(%e4x
zY8Y<ipKP59B}7(y)`y}{N7SgHA<Oh!$&x(Ygg_abl~~dA+z5V+5$p`eQ=nO$-%e%G
zU906GF7I(lC&~J4PE;gnQLG)0s>GX}F%cWMC}m+{7onkn-|vT}f?(dt&rTV;i;R#9
zg}g0H!4&xK+%}!&crj^-a~h4En9MR~ffnU?xY&oP&BD(q@ndt?K&QgZ&gO8A_GcB6
zVhtU<#wO1DD8kZyT{1!>yvU7&L;|Pz+n-Y&pMy-xRF{D(yU$l*5pOSJ(O%7o0fjs!
zLkk6N#&3Jqg{y2r=`H~K{X80b7V=%b-z|~-Ctu@xI9)%hsAE#3XyE4HfFy-kJdW{x
z8y!EP#BOUqKh)3z2l7vs!rRubS48*os2WSABmX>?7Xc5T{c=1M<vH1^$F^;({Wub`
zmZrvP&|d|Mh0lyk8y7*Bq-00gv4%3EP+J+RtVCyeLw?_uyF8u8K^RqE?iW$PLZ7+&
zZjH#TnT)nPEG#$@1U=HIt+QLK$8$B{ufjG2Yd(^}ZCd4i8P#mzGD<xhvkf>QN|Erg
zGWrZbB8iL9zd2-RZx?@Z(FP^!7b@AEt}gHnF=}9vHi$6GXvirkO6KQudz)RHI5n#@
zIsIjNEYf)Ytd6De$Q$_Ujd2iiVt?*e{Boqn=-A7#$^V>5ho2P(bv-0h1SPm4+2Ite
z$USr;`j8cW{F54n*Wgd-ZY+!U)exKu3bEf4obN`XH*Twg!E@i{)?Y=8rvkD<FQYBI
z)mN7iDJA^riE#{PP-8eNDMm{C9Sq}`%HYa$N>Z30XwN*jNx69h<FQtjG}K#QaE)@D
z0+wye!c?%c#NZLwR%1Yjvf^1Gjg2O^cVo>!5jLW5xq&T~yNk{-X|mrg=Nvsag#RfE
zhdnT-5#H_9^9<b+RFfJl2e}mSzRvr(-=P7Hse;1JW7QeadDve=PGrrZ#w(*UwEdiy
z8Z8ECP<y$EJ$e;fPUoxs8rbn8NRJ(x@Y*UM!!w`_QjZil0=VUjP$*BwE@UM+N*uy9
z^a62B`72pK6N$}iUWcuw#7e=lGF~Sk#0lD)4E-XhM)c4Cl7fKix$qLk^=79a&=1>x
z?VJ|g1awObDI<yBBx8JmbI%_NVF0B*tp0ao`u{Zbl~HjuU9&)N2=4B#f#B}$?iSn`
zT!Xv2yA#~q0wMU|gF6Iw=g#wff9}s&t9#b&z0W$`UAw9dLJBNm@-bm15F1kpTh*Il
zMS;x|rL{tYksuDWiI7&RorooG1ucGDZa+muJz~JB2uIANmsa7}tiA}GO_~t4h?u?v
zF-C%%gz<K@T0babg`$*LDcJLStP;Cl+!~pj5>)gLg4pWq+uE8;WyR<s0MpT9)R$?*
zI%^4`;w=MqcX$`?Q8^|8xW@VhJi(t^X6zYJr#^4JwQg2y{JQSR*W-o#3ue0oGrc%k
z-z9RBrVj;JIvVJre&cL>$1RCq;Wh-PhAP}XJ)-l*j2=4+VknB_<pQbB+Fl6$$VccE
zAoFm9W*Elq6V~@toKbENj+Qpmmu<*g4ddB0HcNc_l|5Z;4!*FL+8prrz8E<r+>1)}
zXrt42GY@lrgZ^SF(<`)#&zu=I0X7+llLm$Sau&R9s*nqsxGHm&3>*8u(j^i5a&dF4
z`*j2agHH-7sJxKLFsV_&60%U2(2$0%L8onTbKGxXgg&d|sm^j-9fauD)i4|Hgy6br
zJKM`j(}n|GhYU|5wIyYIHO2xsJuYRvzK@O2XMlLQMu%M~J(<3bou&3iOG|p22(O7(
zC24oZHuND5eY-Ot$_xezw?~FAy$z!?c`Z5C#O@Nm%11r*n!bh;?|&tSaT-B2*3G+(
z<(P}gix#FFdt-Yu$==>?y`AzEagp{wg8-xQ9)aWiZ3bvYG3k^oO(_5fvqcSwwU$>V
z(leoPIFU?#5&CDRdu7}l2#5*WA9pC~JmC@N=ierVSNfC+*GGz<>f;A;U00|@0zMK{
z9L?t5v?Cm{j)Nj)GPk|QrHb~l@>s5ARp_jv=um35n%x3AA>1MZ@@IC|CHGtgqhz*G
zHpi-NZ9OZZO;BO%UABPly!jFKSbP)zcuT4gFqxz~>97oJJ?I`3{XTukaEs{jm(M`0
zmH0Cs7VeVE%%`UBni9M4okIWq#`(MBP!L4L;9fKSjf_wgtnH7cBdUt~qA1DPH94D0
zy@y85K<Of>EB+ECy$2H@m?TX8J0_~uRRuBjIa$_}wqS6A93MmHMv~f~YZ8U~xa;3%
z5Cbs`*%~^(2#tb^>`xov--$9IbR^AYhgccRt*h^w@$0&F^eChyct#5|q*+f>(=bQH
z{qUEmO8iYd8-if%G_7jUAD~vzFPi($Z6^{pcCE`A;Jtz6p1PZVt85M8Tl166qt<)N
z>%wO!_Z|v0SwR~rtGf$J_HNjpw3WV~3S}OBD#*Ie0w4W8czquh5ArnX!~3`==4Ph(
z6ifjEY)L!Y3DnVRFLeN8NU)uP;w>k8i<4vYRhSLBdqn_()zZG&j^dm!-v0(N=TIM?
z7&(=|7qNez+7Nb(KG`hClT*Jn<mgm<D?h$ah%V&#zA7MWti-f8TF|aJSm80MmYe+w
z78{wtA3a~Ubrh^&%e%N<#5A)fr3ShGQ1wcy%4!Qxjmo#(kj@x7E~Vmk=^Npe6f3~)
zOp}mlSeG6Gj4@mA1XF#-IAC{VbVujWPZAJyq2y>+NofV#HiI&gVY0)hbG$aBsIcgs
zuH!rbe@$_CjVBDqT<pw!2S?R4abMqBRA7uMI4V_Q+?~d@a6NeS+#@ow-xfYFhB)B(
zX$$}w(6dR2za@9<R<HC;wXF1rTH6PNy9GCOb^3Jm^4Z;3G18e+*l2&y<HOF3)2)10
zoSKbRYkJX0mDI{*UGB0rathz<)ExX?PSumR4E_D}C}+oqjjpsQ6`8-3gw8AcfJ{K6
ze4nUQHaOS;1dH&$Ke~)6G+AyTg{q^YuE~@jfN4yR&5rq%dPgyDhjo^HYmZW`<{GoH
zEh5Th;uccVm#Sg@$f2V0b>;7NH7ot%_Bj$2RZbhr_IGOPhxBC3K@7~Q6b$X>x{LoQ
zrrJ3JjWV%~e&|idIB72(YB@z-N2wNJZ$g0FH?bD$8aD{A^-R^;b{MOu1PC)Uh&4K0
z?Tn7saZrXzIXeDM94dsUc=c^7NjfrEFY8%pMGAKt=bd#9PqgU6t@Xd<i4M2Nyc72%
zunFo%E+$x~X5k7B5MU%8C8NhnQ?j9-6*5A$Rt9j9RJ8TrOUXjvuzNRoQR&T_!xJOW
zojLyQPkQNSpebY_umzEpYIqij51Dqy>24xaT`*uDvHPj3o2jYCUF7(6e7(1Hui{lA
zfwl+k;iHRSR|I@Hc{y|lH}JKt`MqF4i$vd+<r2$kkEqU(CvdYuGtPnhlcC)2OILH|
zpAgKAKe97)qop@mPfCRCnRqt{Cbd3J;U9zuHnE{FQ4VPE+_$c332;)=Z&J{ar#arJ
zQD4X@wT;lxMQ*2hpjnFH?sdtk2whZyU&5@<s6;!naNQ{fYm@rORGFcE-W-gx`rhax
z*pZg9n-1ybRWJ0Ee>HZGeG0A1c}WKPQJPk#7n1GJi@4onBz8$JgY~mvIT|!a{4Oh1
z2frEDIjt3x9^xdJ^`e6%7$K%OS$7zWMEp0nm$Qj6e$xgjOghIa0OaNyGZ_fx8n<yG
z>}};_Y;RV?<)f_@AZN1@Zvedw>A1`B%cV@@-G6ownMvc(!$h^kY*VDs_4EYx;DVI6
zCz!j7xh1|doWjR$zSJhWy>kx`U-o@FQ6X$P*gd_naoHwui81v=F>7{rxO&&-x-?+Q
zs^iLW91x?IojAzJb<^U;2Mf=vpeMxVur&WTMeHdenKLNADH-KAU6j<cKd|7WkE&#+
z`!4*@<tzpL`s)fzPd{wD`-(2e&d|^|Vj*sIDZxodbLFLIQ{^DM#83`*104H7Ib*%4
z;#bVgnteD@4^^N<?t@Sm8=WxSGE%~_Qe3p|F`Ay!*1{R$v|3!W0+_)uQrEL(#XcG>
z$xKc#YsYf8n~Evty{-|l=!jh5wrbB!Ej#F#{#$RhzO85|VC2MPrVGN6cG%^Hm`TN)
zb5uz0K9*Cwia|506Y-d4%_#QkqVIEm7*)@Ea4@<2QtAyCL<pIOO>_9_(>DjbJKuyS
z2Xsy7O-u^+97v0uM#Q}R+Lx9TX#?zyMXAPU_SLVta<;j;qjw(hx8>Z=cG7U0J5Xrw
zCf*<;4p;K@8vE`>lhZXO)~D5HJfbZO%XWxDKQBC1x8~Fp9F~zEh(1#%e-B~f(>05f
zl;jmsD`d7nW#Y>7C%l86lcGr8E!b9Gl-10gouJ~7TCy@4`mD1~Z*&*EM<Yx-JxKq)
zlXT?ABzja{Him*aqFj=l|J+jxD;OoDGQnuh#f_2tOF*I_3H6Y;6Tk#@ZYK`Uj9@)d
zCq7~}*YyOUog4(_p?NS-nBqH>mP4oV?W>rpBFg7dd@n1+N}-99DyQZ~TuKTaAk2(`
z%Z#AS4%ti2YkX?9<k^wS<!L#@c2E8&?Hn}Yh>&LAvNLeY)H6*Rc+>pYwHqcb@9~M0
z(Q{mj7t;*Lc1z>p{if&q=g;<=j$5(`3?R0XihLLoZc@<f9&H|8kxOcOI?)^&0obT<
zrSP5=Sp~VN4M}e<nUz>yd}mfehtT=rQ<oEsD}b*5rKcW>?>ABM+m3h0!9$YmG0zCi
z?Jy?%_>MUMO>OMv8@3h3nsjDznRrqnEzAY2(v)Vp@XgtP5#m$hn9d}#0zy@6vgXLH
z9x~08ovjH>Xsl+0hMNk^Ii<oFhF2B4fP6W&R3aO>e1?Y<NP}LTP@WO$q^RUtt=WGN
z7zan$*A6Q;zg@M7mx{05Sabsbkf+xTH~%oIgN+8dgc;_eDC3!E5|o4_cKuH%SS>LI
zaaj|T*my{`d#K^px*f0!Ffirj4W&hHXomz3<GZp9hcC@~U>hh!h?2t{_mQk`A!jsm
z6Z6WS^u-7QkM7-fPs(`J0As&>h*z;$o~p+q0=%ve5)SEJ)wh4$xZWT(svFVNb2vZ9
z3+{uyLtUe2slBg$9@tW&$v@9`H@PK7oeBAU6+nago#s?yV$ZejgGEn>IIGFVMVOgS
zi$$J(2PwhD#T*$bN~bkx0~KU#ujKV1rmu`u_}}Pl^=K6U9xaB)pOsLu;9Zs2OmWj7
zx^PT4z;|3{OGp?f<l_9*lVTx2p-+_k6DD4tLu3uxg&WA~z1jcJWRO_Ntf1gwIpuAA
zxZTc(tC;EWo;(N!e5J(n#0t9VmDo8Za3MZ0sAT7+=q==CRVrM02(fRfj-yBg8U1p)
z4bdQrfIVC&4sB<tH|m^4GOKj>7x6`h^{MFnl1pbWM=loa=!}6*L?b=SK;PyiqFZ=h
z9J#WNdXhR<QDR7hm_hD{lAb_y^uURlXSi6pKO_Su0S!)-i%Du5VQW%aMd2GX=Qc_{
z^!~8VJ~WlWVB%lVltc;0giI4a;w-FUHO#?8qE0iST0=0O3`R0O2puDl4PAUTg!1Pz
zI}tu)q?&UGA00+AF$f(!kqt&11x{S-2AUruSVeRY|A9<KW(Y!Br0|AHLliXt`e597
zf0#jL81bo4TE|F1S^%OLu+Bqt20w#!CIhF3{xv2tgvd0DgLDT1A%zWEume4ncsS{6
z4H*pMb_fBvE<5pD17dQ+t}`1YooE9kJ{~bvi)kBFXzAZ3Vh9R(QB*T|5gCt35EMi)
z*1E|IawrwNvmOM4vKaPZtcXfJQ^gmNAu8m-8EEK(F)soLGP%L856B`i!4Tb_Mc@#B
zavwue|7npOW04h8h|V16MJtXDKm%on-I#3-L8Fyz!?s2UQ}Kf#CNfhd@x!o#)<j%J
zYqk;Fn|^OiOSm@N6xAok_pC&{{*Q!+g#OFTR^<U5FiBO}{=_KnT$z`RM^E=O>V%p&
zB=a^bF$o`xXLzAh$4m|+v9X1?q9a}k+T=LfBRA?pI-UOO>s&e`0}(S*Tb_~W4Plfo
zEfK-eaz_KK<6Tv)t-H&gpaEd)2wtiEUDZB=AIsty{-U@I<jdpNNOS>8kKDeK3dG0>
zVb(E*aSop>x@qa4#D$0OQkayBc<RO_*t;~ABU&OZHF)fJ1x^W|sc@^G<gV;Un!UUq
z4#Yp-FC;z-Lv+PR9hAJY5)%`H!5fWl(cyU<(=6V3+}MVMy1PDhk&0@HhITYy#7Z^l
zdBR9tBcHdn9*Rdi2z|k+K@=h=eCo!>(!Fs;`8_n0+xv?!e>3^7@bj(Ltrx&X$lKIl
zGJmeb2OUM7-`044^m`WA%x-Ww3ytQfCUVB`QRm%-B>;<>-Ni6Z_4`4{&||8y2>!*m
zqQph5v@`gq*?=Hqg^?l)?8Hn>#zHQhE*-I$^N@n6qeIV`y=6@5<jl1at(G06Jgt>i
zpmDG={%^{OGYbt(MT6V7_*1njBq2PE6iuKgdTKH!axiMr$iXb261s|pH~|GtX}1}X
zKWMj%^Xp#ZFujW|7paygqudY;rz}pItoRag85K;(wm2(0J|}UoD81}Z;V@)YrNt1+
zWXGwzD7)pWq=GFoAxDFcno1Op7iNm=tte4xHkN=H>d6QdrnB{!q&9{gJDg9kt1a(#
zh*oN-;?qt+r2zrz7xKl@ZFFB1I-0DY5OJ2S<XJ=^4XiX3AUS1jIu+HX*d#vHtOB+n
z1q$Qn{;Z!DLKO{6LS={|dsYiEK#bAV6xh=##(F%Ji%I9|B&kWdAMV?3C)he<8!;yR
zjC9Agl>XH-^Tzd`m(fweK-59`3EgZvWo3?zfzpEbNLhucjOyj4-+h&0d@Rm-d@OjY
zdNd8fo@IyKbVtu;1{xtHvJuOp)co3c4z6pZSe$i<)H6hw$#+nMsSS!}cm5C-&@ZnQ
zmdT8#R)FFYP)%>)(8!Nxkx1qh&_7)Grji@aXivc_U>bDCE(J&IzS3ggbqeu^Cl*EQ
zbfBsoyaix5ve}3g&r7}-sR}uSCdd?p9sSAW`4YX?`Rzy#V3z;J15upJu+iTHmhBD^
zH5pD+0hHj{UOW9GA$z~z_)qeR6R#}cBf`Auf|bwmcF9qS5Pr$T(J*`KYYcdKs8<;_
zA=joaoOPOsp{N!<<a8VlwNPS`fHpQk54LQkTY*S>fEk*4w@FW?6#!!HxHhQ&kT4b#
zc;r_XJojvEUd<%SsAuw86FG>ZyB-{;YxbM5#k?8VLFBJM!g_&T#HY*bg{LxV0HIIa
zGGwvd^Pec#^0Wj1ws+iTc5bQ{t<8k9nl@7xSOnCjDA3*^n;c?;2#zZ$;%o0&y2Dn`
z3;_~qVMsppNsu9`2*g$r*BzVs1}2X4qS89JAm$5VrSFOMx|rhhykj<?W)S%0$;gs~
z5G?i>nMgyVfSu+QP8E6$f4(5MM`4-VO0G1nlI+Z^Q=3kuB9B-09AVvZt=qLd$^VV=
z>tAbN1pzI)?7~+UituDfjlm)MA)Qk_n#l5x%pkKp`aC9Vc24%RX>kpW)~cXb+T?M$
ze>600YZ@XGn5KTMCu~APP?Z$sN!1n0FR^F)ihSenl+mp%eY?fXA&B4FWGGnbN-{I;
z)FJVeM_e+NOxwqi3K2((y&rePhVtl$kX<uOH~a-7%pbYpgMm|V_ZQ}`SYf_!%#0cD
z(f_Anz9{ORGtue9+-)amb8|idA5G$WerjR$Sk$IU|3Hme(aS<t!za(VNHUQ5rrJm(
zhfAJz^R=mqUZ)yIpp`6<MC^q}UhDn;7<m8boP}c0fBu3Lj!gF&As4zhnwgj0<NiRV
zXna=&js`B6`PxM);ds-2xP<+qCe9=4a(vl?Kc>OSL)wjh+JjmY=fe1|N$trsf8Wha
z()KS;4jnD2@JqhW@j4t~s!D?t2y-Ua{UnwfONC8xfqF(j;(kJ27Ez7v^)M^&=|Y#0
zB%-8u_D!QIXZyHG(Mejx{+A82+^Br80B}wBh$+PoY(}|XQt;bzjC{5_Dpq2CP-U-e
zIMRASOp0h~rSck^L*#Vy4-W+q!}t8+G5L^qnN&^pDWy|4vCxo1_-GPN?P86dQan!W
z=`Pf4Elmr7dDLvXEkiiP9GY(!HgHp|AeNAFStNWHiIBrJ?S;ZBY}&m@*I5JKXj0C0
z_mLunboCatA^)$J5}l9CbRM$?F>2SzCbI_o{{*bpG?T7ngsg4-Jc&5#vd3kph&jJI
z@*`(UF<XqxA!id9vxk%$<;GGDiK_3>`^<74M@r$RWE3RFXP(7~0Pt8Uz$}?ke7Xw9
zm)K+)LC(7}JW?y8Zq#_#@0{zZs4*N78^1@sVsrW>#f5XQCW-H;rH2!&i8>#a{DrU7
zM2n~@v0nYUvGQ0GI*j6{Ui8E?{<HYCRNI#yZ)b)39sr6jT(gF!jwesg=Z8U~p@yza
zia_BAB;JD!L4lf(p$yNeLD?A!7l2gc{5do!tdQD(MP(AoCY0$Nfr8R9?*i|`;-xOQ
z_{__S`k%W*q%rTR5HRrJSU4@>bG3xhGmij}s4lgYN7&<ezOln_@=SgHswlyO48!Jr
zmphM)MRUo%7cPk^=pR}V{m1i;?29T+)ReaBvhrfe6X{0oT>-|O|2@@5L|)b}$to{d
zw)|Q@cM>Uka2`vEIhP!}W3g$#c|?yxwlh}!608Nz<HSYaIep*q))IO|Q!$l-z=u{b
zFup{_{!_i2NSgH>GakYaO9O+J@W_b2jG$dp;wVNSKJ)1mPuSiT{0Q6hu(<%qm1gCn
zX(MS^GM~bu;112^I?0GWY4eN5{NwD2Y^N80UIZkfLLq0d5J{T7DsP>{_jP)7<q#C7
zNUohItpkn$t@CpT#U}vTK2yGpP8|RXJpV?N)v=N`C1FH13w(uu?}smHRGu?4j18VF
z@3WrInJ~;3yHd&wFTQf~0UI@N%W;IvySCv5#BSDbOkSM8>7&zmh9-^&KvR{%RIYs+
zk-+9NrSO2Kj7`fp<}p_nCu*vG5%GSwDhVBy!vC+zRCo{-D14{^|Enmf54fUm0{^Qh
zTo<^aV4K1JDjEWs6rLPt`>&$TB01g>B$NMDv}?iM*m)jgC3K&-0_i|6GYs#K+j|FW
z&1w5Dl$LIz&a>Gcg#U#CbgzFK0c`y*l<sSAD8KyF#hIGc;8J_NUm>=#X7*){W#-am
zdH|Py6u}H<%8Rih6n^(TeK0et_;lpRX!qqRjp^(6Qo*Nn=?D~qdNLGs_j^MYBdi|!
zhumM7p9cPccqWa4ol2SU#4kdINA-4ND6^6>)Hb;F?i)n~?Z@P$3FTwUFEJ+%?O15v
zBzYjLdnFT~q?lbI35EM*xlv*Z^v6)37-cEcHUU*HA33G6I(mfYO4!&5`@_d;?qlo=
z<&n{%^K)+JEyJ@mYGR`VQ-z%mSR7`yWmWJLM2yP;#c&f2*e*}DE2u-mn#Rxs9u~Rd
z5*1_zIQ>xtAKkBH6EZ7QoAV7<ARFlrQE9)4@!`m-_ISvVw&*9nB-pR&(!@hBy<UFt
z)?%Smo|)Sw<hTVWLqR5|gnU@D2xI0E0SEFgM_n&vNz^4Ya}8|@rLV|NIEDZX8vF|=
zW`;G*Iq=H^8CJ)Hv!-Y--qGt$*M2>*q9n>|<<7{9lRj#At(B?IaJ8>XZBzRu0?MCJ
zv@zsZFEtwXB_Qy;#;)CIQ9_EsrlQ^jR5ZhFOHLUNPS;cP$<_U?1rfT(BZ2Z<Z?C8{
z(}Wrm+XuVosOMv@Ws<76V)PHGxc&>IIJ6%Cdm20;@5%$IZU#P*C}|ZEv$?t2@Ob`e
z(Nte%LC106oCIII>nDs%3I>tg(W$dwqi<m(oUlw`fLg~F)L^ioFnxiuRGZoS2>LDR
zGxAR_IL0he6x}~wlv0$dA&Bia1RFJR4?e|U-agsUn#St0k1gW$aK20a_eCHuYShvS
zX-Qc?KsZ5idQ|=ie1jiPRY;n}m?JteUiBmx!^Y5~=-GQcvU~pC^p_d7*xrjfL6ZJ8
zeUH5+K8t9;%rlZeM0;?>K9VFO{VU8dgUq1RL$7r{NZNRnQIJ>uO~i*n-IJjsXmS)2
zT`MKIP2^z-EvwRPb73^U4T*qF(1H@EW;Byfj7-faSlVrEp)`VAOINU#{j8%&tLCu;
zW-EnSokgY9;!ytZK!2gc<Q#KNjM@oE$y@ELHs&yT`%{d`CheAts2q&9b%mhPa{HfC
zLx=^BRapt|t7V{>x8j~_1X!On_kMaKchDO;6f<)B{=e&k#hBk#q?V+_Fvg-h9|^DP
zdk~rP<vYRl`pE9})kq|tL>O2ub>ubIz_AE&Y6N#=JC$`FiBJ94`2wq0B!0<LwMb};
z{b((AGb-Yh9i<eV-0W5jkBmS7U&sZxe&N3PlyG1YXM(%$u;3Pdn(BSne?Ponr)vYE
z-%s_CC01n|A6^|b2oi>lc)@d!xw4N=6TgpUVP8jOn(>Z@diML6-qR-temv4u&hO-b
z5eD^b;kYml&k@n|gzaztpVPu^c2w6$N2aQl`-4FqW0nnL_DZv91DHw_cGPV73I^VA
z%hO}NB|D2IoRAZS;ItyCx{#4nZ$xgS7b)~$Wc_6-xx|DZKv&cCqItf(_rfYMRJF7<
z751QN`webNi;Uhk{^xhYjVNuoV~QAt8@2NaOgWp~e}Nk%7$uldWf8#My6u{*Zc6w<
ziP<ROmOPXQu^v<fo$D|C6XH={tQ|1@;7qXSZt2>vCb}*DYFu)&!`ktpI^x(b@Q`&5
z?u-a%d|{L1)0NB-i0JgK2{=|9AaIVLV<~7&=$ZU2B8SQkmse_itiq2tI@20iF@PD_
za967U4^~zPT^IaEg2U?hx)QJ}p&&~ima*9BB}xykpN%GggzZ0iof*mz^^ZkvWZG>o
z=d@~iX0;>|)V-jVRq#{X(PSEVDO5{l+6gH?b7?bD#AjS~-|RHczGE>99n6hOgPDo1
zU~p2q;x>7W0<vqSR(U0l3k^vS{c)4PW=#gzerYS<L03nSp8RqP!*3j~CN{Fc>+~>_
z)uluU<D%~6^wlEuT}FHn)haq*RyAd6Xh=eWITpS&B3dH7Vn=beD<-+ojZW>lB+)-q
zmUrU+?5>h35Kmh@z>L1%mMQXoIFUWT3)4`bKE2xL_UcmVrE@Z|Fu+HbLB)<*B$rjv
z-|33MXrxqkqF+(%xG2^*Gg!OxQm57@(EY#lFS}_q(XwCkmC72=e1$IzN$mK~b%L@E
z<}sC)0;&0gicK?}n2ybcBD>G<wh7W$5kIpMeO*02vNqeWnoriXM*IPtW;gQa=x@}Z
zXCDlWE#hU}&*-NAp=QZ6Jm9>jvo8{jqzWP^GdCr$VM{N&VFdp=%4?=V|32k5btC@!
z);zh-=Kp3<%#ozvtca&a7fNu5B-oJd7@)dL(y$314s(&2GQ{)L9BA5~r1%h~hiXWT
zoX8vDdUq<T-NM=nyKt%>mOv5E3%g!9X9`{e<wql$4OTXurKoLlKJGRzH(uL9+Z{Yv
zT!EzBTWs}zPODQ?)qVIpgtAfy<4+yK?4GzRY=`0q)BFLO$oHo+v1zZTDyhot&losd
zQi}l`tcU5Z<oZpE>gQ8EUnEYG-mo)MQUdgx4q<|hy!Y>NEQ5vkoWgxZsFHL2ZaIO<
zHLpl)V}~@?B22z`+oZ`goe|3hrsbxBsw$ZHtSJ|>V!#9-tTVjRz}?>_e%2GLR9@JJ
zpWY#G*Ou6_cz_FXv6M)J=UTmFl@o%gFiQ;d&ec?^ojGPYq$vs>2#y+=p+Y-*>}+uf
zq95wJ<CGK@Srg%f)7Wd|bfW%1ryF|V+qiFgWjt3PN1BZF7BRlaHm4n@{L{A^dk#NU
zoz-{Ld#4($bH+^EVMuW-0*8>!YQMMjkH$K9XTcebq663bs@;n%l~I3}=FvnsKGtqs
zNo|Hp1>t6=<zh?Se?o{vMK}iYW7zI>i=Ep&bOmCsCBQgF$NR|zFMGk*-}v2p4jbqX
z!PUDezZ~KYQVcgXek<R24Dqp|E_S{it1bDfR8$Y*bR7SV!RrNLY-R-Un`t%6wp=?@
zdEPnRSTGAx&KBDm;S^~bMd!QFz&b(?(3SdE|7>}D3nDQ-cG{1qV_HBN#TrB1Forc;
z!(GP>g33y>*O~JNbz-=Tn}aER&!DpsQ5Em^X0MLd<tsE8@U^UlC85C(!m)7y2ALHD
z7&ym{@8pjvFA{S|h8YpOQveN(yyzW~9(mStP$N8upcD8C$AFy^xfAo4YL8raQOsim
zFnn)|gu|5~bFN1vF<3BxT7bvfzyENEdqld|k-{F5um*kAx-DjKs0Ebi$*l>uVV@Wq
zzVf4uRGP5`y{o`Ua$W+SBz529AD0bwl{AXXX1)gdM-?mv;>?fkT+*mM-$vHVf6eMz
zx*nKb%(=PNU=j}PW8$Du_9%!(!i2JaRC;SDJ9jirdj+~rH7Q+hfEur!W)v4)M?)5C
z*PCC9dyKaV3d6j(F_V8jJNmUS%3;?yiB*q1W=!AuK4U_tU%PMJy0bouxl}6B+a|pj
zdWrWriBrxPOWgUgmODS*DAC<t`tnQ;(|rV>T{eP9J$J_pANN>{@k(uoy7t$pP?wkY
z6pI>1ii6v4&SQM*e%)(Ho-8mSwOyVBM)g;GH!n`r2e{<%4{ut9+?7rWM+8o{09I38
zA6{i2PYD;n2|0}kv@V#~)CuT33Gv|z>C9#Lu8VQ0-;yPMtw!|gS@x|Nr0H+G_;_k7
zyrBqG|I!dG<bEJ&xE6Qd*`M|f1Ejcn(@ei~ieJKKuII;Wb(@TQG<<yj08{T8mdZ`p
z)N!!f-%aUwYGZ1GIbQpOkEY%|J&dEDpZ(Q0aF6ciw-&PFZa(QrF8iAE{CdFNEw4|k
zftY|s(tlb@LL{!ldsA1RVDwqI;|%i0fp*DuV8OAf>2|N$2zY;*pnJD1fHkhdhu1K2
zS;chXoGNoIp<1Fw4~%KgUY_~}`X-u}{u~i`L%J3?v(OR}%*D>R$jQ3&6+&FgdV$v0
zLUn7&|5{?TCHCxxWb3QueSHbRb0f2^KmW*idmF=3k^d|qw{M^!d5(XK+51XEn=6wS
zI;9l&Nf217iIHmQ(x#xCroB(8#^_%<MM*?BZ0*xnhnRi;sCvKDNClgw@$|J(=7%OT
zwlr<=MY_BhaE3pkqWR-R0~D&LE$06A{)?Hk?=-S7$9?~4OK|f=&b#?Nn>$+gE&+6S
zYxn9E&0%QWqV48?vYK4_Yrf{Yo{GC+##@PRab1I9P+y%B-E7zuht1*?mO)RW&0}+w
zT}j7j8B$-4r)o7ThX3D_(tnj8QVs2Q{nxSDr;WW<9^$pes7pI<$%8gn!<~YIl8t)T
zaUW~asr&kJ434lH?K<6_N!E<z*Ndb>qmC>B!xOms+T~5dVXm-5Qds>w=*+5fc|Wj4
zb4I^=4nnJX?ngTdzu}FT(dK+#m1pgVWAuj+=S=ru*1bMz2A_U3==a9^{0+0kMZxJQ
zgW18qAB4{rN2(w1Y9FL^Z=@N9#<m%#zGRvU<ji*RQA-U?ii8)QKago`hTllE2oIf-
zhJE!w9xlf=y%{YGxR6W8eET(>f$dA|nTKx}w1(QtL0LWYo|;id;c;RUP0A&+PwHDY
zuLWAOig__6mSSN=4l~>R$idA%!0)GdFW#pBebaERey);zGd@4?5z|o2ZX(0z^qmfD
z_uqg1vW0wa!R0luH2?tU_J*v^n)@R8!=cn9fAZ3Abb}u6n{C@ZuBzG?=dsj#=i%;?
zRv%sK%J`I|Iu%<z&jo@)7Pj7(urEIB=4%2vGn6lC_I~U1!j$xM1aAEa$d=0CIXboT
z-XfsT>(5~>2#ZGTjZTx@U7luA4P;AqSu$X)=Bu1w^i}d7X!)@`T)1smZ<0A%xuwyo
z)~fT+V@|dB!*MxD;xnXLCSq0WPU3e%o1i8eE7vkj|ILe9!{u7G;9F&u?`93x?dQAk
z=c8?Po62gr&}F?q#^pKBO)a-yxOc@(*<+x>kM8{96ipb9>L9<3FEa&g0_&3w(?7YB
zv*mx>o}Bk)Z_6oJs;_@KLS=VSa=uj<g)lx(h<MLL3b_|I{?O7HY*T&#jAIlz0AIod
zv_DOanjC5}ihi<SqqcaEzHwH4v@r3jEDGw>EGu|j7(eBFK7K+@<{oaRsO$n2fcBw;
zzM=QIw(Sg#l>_I$b<p+#nWEbQm3jI#GTbyRBjjns6|}4j#k4@g_BbS65f9#kjs9w7
zV;etl=;l~vGJ04#j@KmRg^|~IhT!MyE95p6Q)Bzb1I%t>Hk#(rxojQ&ZrQcVXHWUI
z&n~zEwp{iVcUtVU{bdS_aC_^KFG(1Go{XRI*ItwjG*q{$L-Er$@SAK72dylk#y<Bm
z{dk3I;%d=01#K79Trxy}rggjZf*N-U>Vh5P*L&acycpaDHh>p-pgNmCZKq;lz3#0q
zJ*Ubti{{UH3|sv+N4OhpwXcoR13I7H)ayd4amt}EIj=}ZzDQ$6UTx@3>DXN3tccT1
zV@PQ=lT!vsZ{EY1Q<Jv_!<IMReWSCPfktN>Efs}UT{U_heh^ECFv1i4Tsj=oZAW~}
zo#$Wc4(}dtpcsbhBuTXY@It%l^^6hVjz7aja{ZeB!ZcL9F(y<!&wwMSOGzV5;VR75
zSC7Oq9lqZnxAEEI%l+&<933}GFL<TXF_v9RGPBU0ms0yE-eL(giw*uD5uy1Y47^`e
zV7z52NB#B8H7Kvm+@fc5y$50m5kTnSnX=ko5C#<c(`o2y`0xFtPgih7tu!K~c_6|A
z-baPIe;P8WMil9c4N1%`=EXLzAT%3^5w&==Z-Po1gc+S#_Vp#s0lw(Kl!+nsG-jel
z7PK0jS((Rhl~(pQD`~Y@^W=Wtif~7AgfzPo4^GT6TG`%fXHD`~8Hi7ihOy<qT|}Pf
z)@Kb0x~Y`QPh*p(Q6I-vTXQL8&LJ$t-_W4HQ6A~r>gwos{qCoZb~_|(Nu8h%7nIio
z)l(oR59k;(qp*R_24xjS`WB1f_=oN{avvTMsS(6>p(KaF7YZ2ILe^8FJDdqNHZio{
z=x$HTZI*A_yl}TGbnQ0td?nC6G1&_k(p(BA1>eTbeUls8Y+ur|1sh3+(^yZD(l&-N
z+A`R&oRmSaHKheV=KfexWuZOm=N#4cWt`7Iymh}_T{1f5)prQcvUXt^RaK3KMd`Ir
z4V&$5D0}#eCvDV@J2FAB`!%uDA#Nq)v{+mmJ2~_)bXW)e_GZ^@(Nbumzkeh+IQNab
zGK&WLi@6I)xKO`t@~*wo$!R>+ST>)s*!O*uL%#ID>a}tpa3*PzmnELVALHVeopte6
zPyd-7oaO$b2;0MbrS{iPer~DhzI)93a}&Yrcv*sUx!k$*QN0RBhuYnTg^i@$<yF34
z@9bc$(oQc1j<odP^hmcX3=dRqiWF;FKUADe;hUh07H3}MvKLb8b+2>XQS;o4bLjMH
zkT-qhv!+L;6;rsKdinae2DRWye%l9PW?#^!Wfdw}M8&`iOda_JDq!bC2+c4I`c@l?
z;w!zcby{;KCt>%4XPHDQuld5Ss2RyP+<o5EHwv$K&8+wjM<OOr_Q^J*b%La(wEnNJ
zPv&vJ?7#G-1pNq_+W?2_jnWQhB>>9NTa(hqgK&%0CrH?G^x*WmDDk>E)56o{l*8`S
ztiNuY?AGJ0Y(_0mrGHYiBBo<aVgOl5Td()u%sJl$TXTU}r5jS~1o83S2!80VJK+c`
zAet&_(bi@s40~$6NGwRG0<DJXMWO6X^HpsIW~&)U&#LSGeU+2-(e!26py+Jz0GC7=
z_J?`amgM7y=!e~}P~#iH?u>%|j%COETpJ)(Kw^SNAjlsbbxbi$J@nVUU_VaWF$oLB
z3NPN)YxqD0iK-CJeU1NHM*kEGKhzJ3NsNDg32ARh;WGv0O}QcRn;>*8l&B#lA@{LG
z!ZTBlA;cl@;d06U-F^9uXvhK;+MkpOVPe;eMW*020c8>{{Q+fB>k)$7*JtfH=G_0_
zAnPGg3uPe`@N$<k?_2qxR`b++o_+C|Op20qyuz{A_*c2Hnj;g4SDC_&W8eA?P;rum
z{XFL(Kg@29bR&Seuh9QYHjeI`>2>!EO#1{MnekDd!#2nv{w@EbeZY@yU23g(49KX-
z8P4CSA<DZ28f&!M3c7vUg0AF;EnnT{nqT0ao!(wWt&8e4{QS|^`qpooIys#*v#2mV
z_GjL*Y(uNF%<z2g!$3w|`^Heo?3+;9A>poH(^ofj`-^c6X9C=t*7VhX*+GOCdfD&x
zt|I!@!-W2;Z)J`-@Cx@TJ$ACYGad??II8U;1L)zqDLKJR@V+0x5XbVKb>}<AT=&k4
zC3-;<f4&=&jRHZyg})9?_iH%G2`t{Xxti_|UTLOS$o9<3!5?daTmH44!Zk;*SJ#CC
z$N(ncUX4Mqz5dSiI_Tec(d}rT*H_n`ghSNz{f4?B5Lt2n{k%0=uF5|UKL2%=8*FPw
zwCrL@7tFsjbunXK?5Oles&QA_`laNI=jU^VM3u{E*RWE!ss+wyx)1Mjk^BE#Js!E2
z`;8)nD+nQp;}1-H=Zs8f*5XfP;2*R;YVi5_?q*bT?xX7#8eIFMYg$FXslCCUS5FiS
z?}%k!`l6dI^)a!p=*`VR-``&JzIi{kF-@h9_uh^+uGFL?>GF>@0P4_orn7Z_3Z;~u
zcuA+FT%k;it631hU1*S5o0;gbLJG}9D@$R@*QlCp6z5baIw4FdcL7kj8(tdlo^Y&2
zk07g06kDs*w)wNME}Ssa5$u4zkb3=H+1i2Vcjd*`)yJ!SYs`WUa2%ieWHQ}aj`Pw}
z{W=|Stl1d8wr+7<sLa`MD>xTxlTWWVn9=$KR(jt$)9@$8(~oPPA69?1zt`)BD}bo;
z@j~vp;=WWR{jtw_1T;y}^6C@^K<gDb4h-fLV*VS_c}7C(iIc12=wSZ2`fjrJXQPz5
z5eTy~4N9)N32Y10Y4LdEvGPjn+`gl6XS}--)pt|wpr7Mi5$5zraEhKUO0EqHSAc2=
zZc#^Ut4Aq3WoH)33vE%3B|G(va8CU71ihaz4-ZB*?Ux!S4C@oy%W>_023`jKJ4t;t
z=iVw>Q;Z3W;cLX{+i*kjP4Vac#RdP<%SdMO_m+p<3>Qc|8qh@p5lkp?xcBbtJV5i+
zA=d3DOlBj!qrdoSZ2LXTkMqYwL*Z3RuEAUJaiuK@QJv7|_3RTn3N!<A6+Xd&DqzX`
zS@?MlIgMmC2#uLkkj<u<hr2t-xW?+AJS+&e<==w+`j>te!?SXNVTX=Pq#)*M(e@4}
zBbpk`U)}W{9`!$HTV0fEKM*IMVd?{kV}u*k>JpiLVV&ha4EH@98RKaCDJeo4e|G&^
z&Snr;1Ew_^NLT8%oWxH~r&<4+$W8}tq2DhT)zUB?deJVtXeCss?Vqz)J+~e$BK7oa
zJ_-Zo&oi{vw0V24JEb>zK1+nRg_+L*%419PYgK0Tn4ewG<G)Yz-t~6gI{q3jkG9eb
z&on7)MjyEQ`#9v+xPC0PJvJy#A@rUY`koBjP0aN_oVS5GI5?!*dmZ$Y`u`o(i|bC`
i_;}Z8zScScP9K$@F<)a`>ilifUh@k+N!!RW+y5Welx+(D

literal 0
HcmV?d00001

diff --git a/docs/0.10.5/html/overview.html b/docs/0.10.5/html/overview.html
new file mode 100644
index 000000000..2befc2f1f
--- /dev/null
+++ b/docs/0.10.5/html/overview.html
@@ -0,0 +1,849 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Intro to Data Readers" href="data_reader.html" /><link rel="prev" title="Examples" href="examples.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data Profiler - What’s in your data? - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/overview.nblink">View this notebook on GitHub</a></p>
+<section id="Data-Profiler---What’s-in-your-data?">
+<h1>Data Profiler - What’s in your data?<a class="headerlink" href="#Data-Profiler---What’s-in-your-data?" title="Permalink to this headline">¶</a></h1>
+<p>This introductory jupyter notebook demonstrates the basic usages of the Data Profiler. The library is designed to easily detect sensitive data and gather statistics on your datasets with just several lines of code. The Data Profiler can handle several different data types including: CSV (or any delimited file), JSON, Parquet, AVRO, and text. Additionally, there are a plethora of options to customize your profile. This library also has the ability to update profiles from multiple batches of large
+datasets, or merge multiple profiles. In particular, this example covers the followings:</p>
+<ul class="simple">
+<li><p>Basic usage of the Data Profiler</p></li>
+<li><p>The data reader class</p></li>
+<li><p>Profiler options</p></li>
+<li><p>Updating profiles and merging profiles</p></li>
+</ul>
+<p>First, let’s import the libraries needed for this example.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="n">sys</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="s1">'..'</span><span class="p">)</span>
+<span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">data_path</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data"</span>
+</pre></div>
+</div>
+</div>
+<section id="Basic-Usage-of-the-Data-Profiler">
+<h2>Basic Usage of the Data Profiler<a class="headerlink" href="#Basic-Usage-of-the-Data-Profiler" title="Permalink to this headline">¶</a></h2>
+<p>This section shows the basic example of the Data Profiler. A CSV dataset is read using the data reader, then the Data object is given to the Data Profiler to detect sensitive data and obtain the statistics.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># use data reader to read input data</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"csv/aws_honeypot_marx_geo.csv"</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">())</span>
+
+<span class="c1"># run data profiler and get the report</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"compact"</span><span class="p">})</span>
+
+<span class="c1"># print the report</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<p>The report includes <code class="docutils literal notranslate"><span class="pre">global_stats</span></code> and <code class="docutils literal notranslate"><span class="pre">data_stats</span></code> for the given dataset. The former contains overall properties of the data such as number of rows/columns, null ratio, duplicate ratio, while the latter contains specific properties and statistics for each column such as detected data label, min, max, mean, variance, etc. In this example, the <code class="docutils literal notranslate"><span class="pre">compact</span></code> format of the report is used to shorten the full list of the results. To get more results related to detailed predictions at the entity
+level from the Data Labeler component or histogram results, the format <code class="docutils literal notranslate"><span class="pre">pretty</span></code> should be used.</p>
+</section>
+<section id="Data-reader-class">
+<h2>Data reader class<a class="headerlink" href="#Data-reader-class" title="Permalink to this headline">¶</a></h2>
+<p>DataProfiler can detect multiple file types including CSV (or any delimited file), JSON, Parquet, AVRO, and text. The example below shows that it successfully detects data types from multiple categories regardless of the file extensions.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># use data reader to read input data with different file types</span>
+<span class="n">csv_files</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">"csv/aws_honeypot_marx_geo.csv"</span><span class="p">,</span>
+    <span class="s2">"csv/all-strings-skip-header-author.csv"</span><span class="p">,</span> <span class="c1"># csv files with the author/description on the first line</span>
+    <span class="s2">"csv/sparse-first-and-last-column-empty-first-row.txt"</span><span class="p">,</span> <span class="c1"># csv file with the .txt extension</span>
+<span class="p">]</span>
+<span class="n">json_files</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">"json/complex_nested.json"</span><span class="p">,</span>
+    <span class="s2">"json/honeypot_intentially_mislabeled_file.csv"</span><span class="p">,</span> <span class="c1"># json file with the .csv extension</span>
+<span class="p">]</span>
+<span class="n">parquet_files</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">"parquet/nation.dict.parquet"</span><span class="p">,</span>
+    <span class="s2">"parquet/nation.plain.intentionally_mislabled_file.csv"</span><span class="p">,</span> <span class="c1"># parquet file with the .csv extension</span>
+<span class="p">]</span>
+<span class="n">avro_files</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">"avro/userdata1.avro"</span><span class="p">,</span>
+    <span class="s2">"avro/userdata1_intentionally_mislabled_file.json"</span><span class="p">,</span> <span class="c1"># avro file with the .json extension</span>
+<span class="p">]</span>
+<span class="n">text_files</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">"txt/discussion_reddit.txt"</span><span class="p">,</span>
+<span class="p">]</span>
+
+<span class="n">all_files</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s2">"csv"</span><span class="p">:</span> <span class="n">csv_files</span><span class="p">,</span>
+    <span class="s2">"json"</span><span class="p">:</span> <span class="n">json_files</span><span class="p">,</span>
+    <span class="s2">"parquet"</span><span class="p">:</span> <span class="n">parquet_files</span><span class="p">,</span>
+    <span class="s2">"avro"</span><span class="p">:</span> <span class="n">avro_files</span><span class="p">,</span>
+    <span class="s2">"text"</span><span class="p">:</span> <span class="n">text_files</span>
+<span class="p">}</span>
+
+<span class="k">for</span> <span class="n">file_type</span> <span class="ow">in</span> <span class="n">all_files</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="n">file_type</span><span class="p">)</span>
+    <span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">all_files</span><span class="p">[</span><span class="n">file_type</span><span class="p">]:</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="n">file</span><span class="p">))</span>
+        <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="si">{:&lt;85}</span><span class="s2"> </span><span class="si">{:&lt;15}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">file</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">data_type</span><span class="p">))</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<p>The <code class="docutils literal notranslate"><span class="pre">Data</span></code> class detects the file type and uses one of the following classes: <code class="docutils literal notranslate"><span class="pre">CSVData</span></code>, <code class="docutils literal notranslate"><span class="pre">JSONData</span></code>, <code class="docutils literal notranslate"><span class="pre">ParquetData</span></code>, <code class="docutils literal notranslate"><span class="pre">AVROData</span></code>, <code class="docutils literal notranslate"><span class="pre">TextData</span></code>. Users can call these specific classes directly if desired. For example, below we provide a collection of data with different types, each of them is processed by the corresponding data class.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># use individual data reader classes</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.data_readers.csv_data</span> <span class="kn">import</span> <span class="n">CSVData</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.data_readers.json_data</span> <span class="kn">import</span> <span class="n">JSONData</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.data_readers.parquet_data</span> <span class="kn">import</span> <span class="n">ParquetData</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.data_readers.avro_data</span> <span class="kn">import</span> <span class="n">AVROData</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.data_readers.text_data</span> <span class="kn">import</span> <span class="n">TextData</span>
+
+<span class="n">csv_files</span> <span class="o">=</span> <span class="s2">"csv/aws_honeypot_marx_geo.csv"</span>
+<span class="n">json_files</span> <span class="o">=</span> <span class="s2">"json/complex_nested.json"</span>
+<span class="n">parquet_files</span> <span class="o">=</span> <span class="s2">"parquet/nation.dict.parquet"</span>
+<span class="n">avro_files</span> <span class="o">=</span> <span class="s2">"avro/userdata1.avro"</span>
+<span class="n">text_files</span> <span class="o">=</span> <span class="s2">"txt/discussion_reddit.txt"</span>
+
+<span class="n">all_files</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s2">"csv"</span><span class="p">:</span> <span class="p">[</span><span class="n">csv_files</span><span class="p">,</span> <span class="n">CSVData</span><span class="p">],</span>
+    <span class="s2">"json"</span><span class="p">:</span> <span class="p">[</span><span class="n">json_files</span><span class="p">,</span> <span class="n">JSONData</span><span class="p">],</span>
+    <span class="s2">"parquet"</span><span class="p">:</span> <span class="p">[</span><span class="n">parquet_files</span><span class="p">,</span> <span class="n">ParquetData</span><span class="p">],</span>
+    <span class="s2">"avro"</span><span class="p">:</span> <span class="p">[</span><span class="n">avro_files</span><span class="p">,</span> <span class="n">AVROData</span><span class="p">],</span>
+    <span class="s2">"text"</span><span class="p">:</span> <span class="p">[</span><span class="n">text_files</span><span class="p">,</span> <span class="n">TextData</span><span class="p">],</span>
+<span class="p">}</span>
+
+<span class="k">for</span> <span class="n">file_type</span> <span class="ow">in</span> <span class="n">all_files</span><span class="p">:</span>
+    <span class="n">file</span><span class="p">,</span> <span class="n">data_reader</span> <span class="o">=</span> <span class="n">all_files</span><span class="p">[</span><span class="n">file_type</span><span class="p">]</span>
+    <span class="n">data</span> <span class="o">=</span> <span class="n">data_reader</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="n">file</span><span class="p">))</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s2">"File name </span><span class="si">{}</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">file</span><span class="p">))</span>
+    <span class="k">if</span> <span class="n">file_type</span> <span class="o">==</span> <span class="s2">"text"</span><span class="p">:</span>
+        <span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">][:</span><span class="mi">1000</span><span class="p">])</span> <span class="c1"># print the first 1000 characters</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="p">)</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s1">'==============================================================================='</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<p>In addition to reading the input data from multiple file types, the Data Profiler allows the input data as a dataframe.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># run data profiler and get the report</span>
+<span class="n">my_dataframe</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">([[</span><span class="mi">1</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">],[</span><span class="mi">1</span><span class="p">,</span> <span class="mf">2.2</span><span class="p">],[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">]],</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s2">"col_int"</span><span class="p">,</span> <span class="s2">"col_float"</span><span class="p">])</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">my_dataframe</span><span class="p">)</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"compact"</span><span class="p">})</span>
+
+<span class="c1"># Print the report</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Structured-Profiler-vs. Unstructured-Profiler">
+<h2>Structured Profiler vs. Unstructured Profiler<a class="headerlink" href="#Structured-Profiler-vs. Unstructured-Profiler" title="Permalink to this headline">¶</a></h2>
+<p>The profiler will infer what type of statistics to generate (structured or unstructured) based on the input. However, you can explicitly specify profile type as well. Here is an example of the the profiler explicitly calling the structured profile and the unstructured profile.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Using the structured profiler</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"csv/aws_honeypot_marx_geo.csv"</span><span class="p">))</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">profiler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">)</span>
+
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+
+<span class="c1"># Using the unstructured profiler</span>
+<span class="n">my_dataframe</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">([[</span><span class="s2">"Sample1"</span><span class="p">],[</span><span class="s2">"Sample2"</span><span class="p">],[</span><span class="s2">"Sample3"</span><span class="p">]],</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s2">"Text_Samples"</span><span class="p">])</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">my_dataframe</span><span class="p">,</span> <span class="n">profiler_type</span><span class="o">=</span><span class="s1">'unstructured'</span><span class="p">)</span>
+
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Profiler-options">
+<h2>Profiler options<a class="headerlink" href="#Profiler-options" title="Permalink to this headline">¶</a></h2>
+<p>The Data Profiler can enable/disable statistics and modify features through profiler options. For example, if the users only want the statistics information, they may turn off the Data Labeler functionality. Below, let’s remove the histogram and data labeler component while running Data Profiler.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">profile_options</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">ProfilerOptions</span><span class="p">()</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s2">"histogram_and_quantiles.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                     <span class="s2">"median_abs_deviation.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                     <span class="s2">"median.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                     <span class="s2">"mode.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+                     <span class="s2">"data_labeler.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,})</span>
+
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">my_dataframe</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">profile_options</span><span class="p">)</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+
+<span class="c1"># Print the report</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<p>Besides toggling on and off features, other options like the data labeler sample size or histogram bin method can be directly set and validated as shown here:</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">profile_options</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">ProfilerOptions</span><span class="p">()</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">structured_options</span><span class="o">.</span><span class="n">data_labeler</span><span class="o">.</span><span class="n">sample_size</span> <span class="o">=</span> <span class="mi">1</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">structured_options</span><span class="o">.</span><span class="n">int</span><span class="o">.</span><span class="n">histogram_and_quantiles</span><span class="o">.</span><span class="n">bin_count_or_method</span> <span class="o">=</span> <span class="s2">"rice"</span>
+<span class="c1"># An error will raise if the options are set incorrectly.</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">validate</span><span class="p">()</span>
+
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">my_dataframe</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">profile_options</span><span class="p">)</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+
+<span class="c1"># Print the report</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Update-profiles">
+<h2>Update profiles<a class="headerlink" href="#Update-profiles" title="Permalink to this headline">¶</a></h2>
+<p>One of the interesting features of the Data Profiler is the ability to update profiles from batches of data, which allows for data streaming usage. In this section, the original dataset is separated into two batches with equal size. Each batch is then updated with Data Profiler sequentially.</p>
+<p>After the update, we expect the resulted profiles give the same statistics as the profiles updated from the full dataset. We will verify that through some properties in <code class="docutils literal notranslate"><span class="pre">global_stats</span></code> of the profiles including <code class="docutils literal notranslate"><span class="pre">column_count</span></code>, <code class="docutils literal notranslate"><span class="pre">row_count</span></code>, <code class="docutils literal notranslate"><span class="pre">row_is_null_ratio</span></code>, <code class="docutils literal notranslate"><span class="pre">duplicate_row_count</span></code>.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># read the input data and devide it into two equal halves</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"csv/aws_honeypot_marx_geo.csv"</span><span class="p">))</span>
+<span class="n">df</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">data</span>
+<span class="n">df1</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:</span><span class="nb">int</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">df</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span>
+<span class="n">df2</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">df</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span><span class="p">):]</span>
+
+<span class="c1"># Update the profile with the first half</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">df1</span><span class="p">)</span>
+
+<span class="c1"># Update the profile with the second half</span>
+<span class="n">profile</span><span class="o">.</span><span class="n">update_profile</span><span class="p">(</span><span class="n">df2</span><span class="p">)</span>
+
+<span class="c1"># Update profile with the full dataset</span>
+<span class="n">profile_full</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">df</span><span class="p">)</span>
+
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"compact"</span><span class="p">})</span>
+<span class="n">report_full</span>  <span class="o">=</span> <span class="n">profile_full</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"compact"</span><span class="p">})</span>
+
+<span class="c1"># print the report</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report_full</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<p>You can see that the profiles are exactly the same whether they are broken into several updates or not.</p>
+</section>
+<section id="Merge-profiles">
+<h2>Merge profiles<a class="headerlink" href="#Merge-profiles" title="Permalink to this headline">¶</a></h2>
+<p>In addition to the profile update, Data Profiler provides the merging functionality which allows users to combine the profiles updated from multiple locations. This enables Data Profiler to be used in a distributed computing environment. Below, we assume that the two aforementioned halves of the original dataset come from two different machines. Each of them is then updated with the Data Profiler on the same machine, then the resulted profiles are merged.</p>
+<p>As with the profile update, we expect the merged profiles give the same statistics as the profiles updated from the full dataset.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Update the profile with the first half</span>
+<span class="n">profile1</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">df1</span><span class="p">)</span>
+
+<span class="c1"># Update the profile with the second half</span>
+<span class="n">profile2</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">df2</span><span class="p">)</span>
+
+<span class="c1"># merge profiles</span>
+<span class="n">profile_merge</span> <span class="o">=</span> <span class="n">profile1</span> <span class="o">+</span> <span class="n">profile2</span>
+
+<span class="c1"># check results of the merged profile</span>
+<span class="n">report_merge</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"compact"</span><span class="p">})</span>
+
+<span class="c1"># print the report</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report_merge</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report_full</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<p>You can see that the profiles are exactly the same!</p>
+</section>
+<section id="Conclusion">
+<h2>Conclusion<a class="headerlink" href="#Conclusion" title="Permalink to this headline">¶</a></h2>
+<p>We have walked through some basic examples of Data Profiler usage, with different input data types and profiling options. We also work with update and merging functionality of the Data Profiler, which make it applicable for data streaming and distributed environment. Interested users can try with different datasets and functionalities as desired.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="data_reader.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Intro to Data Readers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="examples.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Examples</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/overview.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Data Profiler - What’s in your data?</a><ul>
+<li><a class="reference internal" href="#Basic-Usage-of-the-Data-Profiler">Basic Usage of the Data Profiler</a></li>
+<li><a class="reference internal" href="#Data-reader-class">Data reader class</a></li>
+<li><a class="reference internal" href="#Structured-Profiler-vs. Unstructured-Profiler">Structured Profiler vs. Unstructured Profiler</a></li>
+<li><a class="reference internal" href="#Profiler-options">Profiler options</a></li>
+<li><a class="reference internal" href="#Update-profiles">Update profiles</a></li>
+<li><a class="reference internal" href="#Merge-profiles">Merge profiles</a></li>
+<li><a class="reference internal" href="#Conclusion">Conclusion</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/overview.ipynb b/docs/0.10.5/html/overview.ipynb
new file mode 100644
index 000000000..d5e77abe4
--- /dev/null
+++ b/docs/0.10.5/html/overview.ipynb
@@ -0,0 +1,470 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "fc2826d9",
+   "metadata": {},
+   "source": [
+    "# Data Profiler - What's in your data?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b997522b",
+   "metadata": {},
+   "source": [
+    "This introductory jupyter notebook demonstrates the basic usages of the Data Profiler. The library is designed to easily detect sensitive data and gather statistics on your datasets with just several lines of code. The Data Profiler can handle several different data types including: CSV (or any delimited file), JSON, Parquet, AVRO, and text. Additionally, there are a plethora of options to customize your profile. This library also has the ability to update profiles from multiple batches of large datasets, or merge multiple profiles. In particular, this example covers the followings:\n",
+    "\n",
+    "- Basic usage of the Data Profiler\n",
+    "- The data reader class\n",
+    "- Profiler options\n",
+    "- Updating profiles and merging profiles\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ef404c84",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "sys.path.insert(0, '..')\n",
+    "import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f51971e3",
+   "metadata": {},
+   "source": [
+    "## Basic Usage of the Data Profiler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "639e66d3",
+   "metadata": {},
+   "source": [
+    "This section shows the basic example of the Data Profiler. A CSV dataset is read using the data reader, then the Data object is given to the Data Profiler to detect sensitive data and obtain the statistics."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5379c45c",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "print(data.data.head())\n",
+    "\n",
+    "# run data profiler and get the report\n",
+    "profile = dp.Profiler(data)\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "57fe2827",
+   "metadata": {},
+   "source": [
+    "The report includes `global_stats` and `data_stats` for the given dataset. The former contains overall properties of the data such as number of rows/columns, null ratio, duplicate ratio, while the latter contains specific properties and statistics for each column such as detected data label, min, max, mean, variance, etc. In this example, the `compact` format of the report is used to shorten the full list of the results. To get more results related to detailed predictions at the entity level from the Data Labeler component or histogram results, the format `pretty` should be used."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74027cfd",
+   "metadata": {},
+   "source": [
+    "## Data reader class"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "41364888",
+   "metadata": {},
+   "source": [
+    "DataProfiler can detect multiple file types including CSV (or any delimited file), JSON, Parquet, AVRO, and text. The example below shows that it successfully detects data types from multiple categories regardless of the file extensions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "823829f4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data with different file types\n",
+    "csv_files = [\n",
+    "    \"csv/aws_honeypot_marx_geo.csv\",\n",
+    "    \"csv/all-strings-skip-header-author.csv\", # csv files with the author/description on the first line\n",
+    "    \"csv/sparse-first-and-last-column-empty-first-row.txt\", # csv file with the .txt extension\n",
+    "]\n",
+    "json_files = [\n",
+    "    \"json/complex_nested.json\",\n",
+    "    \"json/honeypot_intentially_mislabeled_file.csv\", # json file with the .csv extension\n",
+    "]\n",
+    "parquet_files = [\n",
+    "    \"parquet/nation.dict.parquet\",\n",
+    "    \"parquet/nation.plain.intentionally_mislabled_file.csv\", # parquet file with the .csv extension\n",
+    "]\n",
+    "avro_files = [\n",
+    "    \"avro/userdata1.avro\",\n",
+    "    \"avro/userdata1_intentionally_mislabled_file.json\", # avro file with the .json extension\n",
+    "]\n",
+    "text_files = [\n",
+    "    \"txt/discussion_reddit.txt\",\n",
+    "]\n",
+    "\n",
+    "all_files = {\n",
+    "    \"csv\": csv_files,\n",
+    "    \"json\": json_files,\n",
+    "    \"parquet\": parquet_files,\n",
+    "    \"avro\": avro_files,\n",
+    "    \"text\": text_files\n",
+    "}\n",
+    "\n",
+    "for file_type in all_files:\n",
+    "    print(file_type)\n",
+    "    for file in all_files[file_type]:\n",
+    "        data = dp.Data(os.path.join(data_path, file))\n",
+    "        print(\"{:<85} {:<15}\".format(file, data.data_type))\n",
+    "    print(\"\\n\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3f9d7e02",
+   "metadata": {},
+   "source": [
+    "The `Data` class detects the file type and uses one of the following classes: `CSVData`, `JSONData`, `ParquetData`, `AVROData`, `TextData`. Users can call these specific classes directly if desired. For example, below we provide a collection of data with different types, each of them is processed by the corresponding data class."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "831e68a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use individual data reader classes\n",
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "from dataprofiler.data_readers.json_data import JSONData\n",
+    "from dataprofiler.data_readers.parquet_data import ParquetData\n",
+    "from dataprofiler.data_readers.avro_data import AVROData\n",
+    "from dataprofiler.data_readers.text_data import TextData\n",
+    "\n",
+    "csv_files = \"csv/aws_honeypot_marx_geo.csv\"\n",
+    "json_files = \"json/complex_nested.json\"\n",
+    "parquet_files = \"parquet/nation.dict.parquet\"\n",
+    "avro_files = \"avro/userdata1.avro\"\n",
+    "text_files = \"txt/discussion_reddit.txt\"\n",
+    "\n",
+    "all_files = {\n",
+    "    \"csv\": [csv_files, CSVData],\n",
+    "    \"json\": [json_files, JSONData],\n",
+    "    \"parquet\": [parquet_files, ParquetData],\n",
+    "    \"avro\": [avro_files, AVROData],\n",
+    "    \"text\": [text_files, TextData],\n",
+    "}\n",
+    "\n",
+    "for file_type in all_files:\n",
+    "    file, data_reader = all_files[file_type]\n",
+    "    data = data_reader(os.path.join(data_path, file))\n",
+    "    print(\"File name {}\\n\".format(file))\n",
+    "    if file_type == \"text\":\n",
+    "        print(data.data[0][:1000]) # print the first 1000 characters\n",
+    "    else:\n",
+    "        print(data.data)\n",
+    "    print('===============================================================================')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "572df0a8",
+   "metadata": {},
+   "source": [
+    "In addition to reading the input data from multiple file types, the Data Profiler allows the input data as a dataframe."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "df87ab83",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# run data profiler and get the report\n",
+    "my_dataframe = pd.DataFrame([[1, 2.0],[1, 2.2],[-1, 3]], columns=[\"col_int\", \"col_float\"])\n",
+    "profile = dp.Profiler(my_dataframe)\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "84a06312",
+   "metadata": {},
+   "source": [
+    "## Structured Profiler vs. Unstructured Profiler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4c0ea925",
+   "metadata": {},
+   "source": [
+    "The profiler will infer what type of statistics to generate (structured or unstructured) based on the input. However, you can explicitly specify profile type as well. Here is an example of the the profiler explicitly calling the structured profile and the unstructured profile."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5f4565d8",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Using the structured profiler\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "profile = dp.Profiler(data, profiler_type='structured')\n",
+    "\n",
+    "report = profile.report(report_options={\"output_format\": \"pretty\"})\n",
+    "print(json.dumps(report, indent=4))\n",
+    "\n",
+    "# Using the unstructured profiler\n",
+    "my_dataframe = pd.DataFrame([[\"Sample1\"],[\"Sample2\"],[\"Sample3\"]], columns=[\"Text_Samples\"])\n",
+    "profile = dp.Profiler(my_dataframe, profiler_type='unstructured')\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b16648ba",
+   "metadata": {},
+   "source": [
+    "## Profiler options"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8b0cc8ad",
+   "metadata": {},
+   "source": [
+    "The Data Profiler can enable/disable statistics and modify features through profiler options. For example, if the users only want the statistics information, they may turn off the Data Labeler functionality. Below, let's remove the histogram and data labeler component while running Data Profiler."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bbac3a2c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({\"histogram_and_quantiles.is_enabled\": False,\n",
+    "                     \"median_abs_deviation.is_enabled\": False,\n",
+    "                     \"median.is_enabled\": False,\n",
+    "                     \"mode.is_enabled\": False,\n",
+    "                     \"data_labeler.is_enabled\": False,})\n",
+    "\n",
+    "profile = dp.Profiler(my_dataframe, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "590ca50b",
+   "metadata": {},
+   "source": [
+    "Besides toggling on and off features, other options like the data labeler sample size or histogram bin method can be directly set and validated as shown here:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4ed21bc1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.structured_options.data_labeler.sample_size = 1\n",
+    "profile_options.structured_options.int.histogram_and_quantiles.bin_count_or_method = \"rice\"\n",
+    "# An error will raise if the options are set incorrectly.\n",
+    "profile_options.validate()\n",
+    "\n",
+    "profile = dp.Profiler(my_dataframe, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9f690616",
+   "metadata": {},
+   "source": [
+    "## Update profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "965f8c85",
+   "metadata": {},
+   "source": [
+    "One of the interesting features of the Data Profiler is the ability to update profiles from batches of data, which allows for data streaming usage. In this section, the original dataset is separated into two batches with equal size. Each batch is then updated with Data Profiler sequentially.  \n",
+    "\n",
+    "After the update, we expect the resulted profiles give the same statistics as the profiles updated from the full dataset. We will verify that through some properties in `global_stats` of the profiles including `column_count`, `row_count`, `row_is_null_ratio`, `duplicate_row_count`. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "34ac4346",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# read the input data and devide it into two equal halves\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "df = data.data\n",
+    "df1 = df.iloc[:int(len(df)/2)]\n",
+    "df2 = df.iloc[int(len(df)/2):]\n",
+    "\n",
+    "# Update the profile with the first half\n",
+    "profile = dp.Profiler(df1)\n",
+    "\n",
+    "# Update the profile with the second half\n",
+    "profile.update_profile(df2)\n",
+    "\n",
+    "# Update profile with the full dataset\n",
+    "profile_full = dp.Profiler(df)\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "report_full  = profile_full.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# print the report\n",
+    "print(json.dumps(report, indent=4))\n",
+    "print(json.dumps(report_full, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b41ee2bf",
+   "metadata": {},
+   "source": [
+    "You can see that the profiles are exactly the same whether they are broken into several updates or not."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c547f051",
+   "metadata": {},
+   "source": [
+    "## Merge profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a5292962",
+   "metadata": {},
+   "source": [
+    "In addition to the profile update, Data Profiler provides the merging functionality which allows users to combine the profiles updated from multiple locations. This enables Data Profiler to be used in a distributed computing environment. Below, we assume that the two aforementioned halves of the original dataset come from two different machines. Each of them is then updated with the Data Profiler on the same machine, then the resulted profiles are merged.\n",
+    "\n",
+    "As with the profile update, we expect the merged profiles give the same statistics as the profiles updated from the full dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a565b8d1",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# Update the profile with the first half\n",
+    "profile1 = dp.Profiler(df1)\n",
+    "\n",
+    "# Update the profile with the second half\n",
+    "profile2 = dp.Profiler(df2)\n",
+    "\n",
+    "# merge profiles\n",
+    "profile_merge = profile1 + profile2\n",
+    "\n",
+    "# check results of the merged profile\n",
+    "report_merge  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# print the report\n",
+    "print(json.dumps(report_merge, indent=4))\n",
+    "print(json.dumps(report_full, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b77fac3f",
+   "metadata": {},
+   "source": [
+    "You can see that the profiles are exactly the same!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c644ee42",
+   "metadata": {},
+   "source": [
+    "## Conclusion\n",
+    "\n",
+    "We have walked through some basic examples of Data Profiler usage, with different input data types and profiling options. We also work with update and merging functionality of the Data Profiler, which make it applicable for data streaming and distributed environment. Interested users can try with different datasets and functionalities as desired."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/html/popmon_dp_loader_example.html b/docs/0.10.5/html/popmon_dp_loader_example.html
new file mode 100644
index 000000000..0adacb12a
--- /dev/null
+++ b/docs/0.10.5/html/popmon_dp_loader_example.html
@@ -0,0 +1,804 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="API" href="API.html" /><link rel="prev" title="Merge List of Profiles" href="merge_profile_list.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Dataloader with Popmon Reports - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/popmon_dp_loader_example.nblink">View this notebook on GitHub</a></p>
+<section id="Dataloader-with-Popmon-Reports">
+<h1>Dataloader with Popmon Reports<a class="headerlink" href="#Dataloader-with-Popmon-Reports" title="Permalink to this headline">¶</a></h1>
+<p>This demo is to cover the usage of popmon with the dataloader from the dataprofiler</p>
+<p>This demo covers the followings:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>- How to install popmon
+- Comparison of the dynamic dataloader from dataprofiler to the
+    standard dataloader used in pandas
+- Popmon's usage example using both dataloaders
+- Dataprofiler's examples using both dataloaders
+- Usage of the pm_stability_report function (popmon reports)
+</pre></div>
+</div>
+<section id="How-to-Install-Popmon">
+<h2>How to Install Popmon<a class="headerlink" href="#How-to-Install-Popmon" title="Permalink to this headline">¶</a></h2>
+<p>To install popmon you can use the command below:</p>
+<p><code class="docutils literal notranslate"><span class="pre">pip3</span> <span class="pre">install</span> <span class="pre">popmon</span></code></p>
+<p>From here, we can import the libararies needed for this demo.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+<span class="k">try</span><span class="p">:</span>
+    <span class="n">sys</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="s1">'..'</span><span class="p">)</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">popmon</span>  <span class="c1"># noqa</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Comparison-of-Dataloaders">
+<h2>Comparison of Dataloaders<a class="headerlink" href="#Comparison-of-Dataloaders" title="Permalink to this headline">¶</a></h2>
+<p>First, we have the original pandas dataloading which works for specific file types. This is good for if the data format is known ahead of time but is less useful for more dynamic cases.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="k">def</span> <span class="nf">popmon_dataloader</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">time_index</span><span class="p">):</span>
+    <span class="c1"># Load pm dataframe (Can only read csvs unless reader option is changed)</span>
+    <span class="k">if</span> <span class="ow">not</span> <span class="n">time_index</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">pm_data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">parse_dates</span><span class="o">=</span><span class="p">[</span><span class="n">time_index</span><span class="p">])</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">time_index</span> <span class="o">=</span> <span class="kc">True</span>
+        <span class="n">pm_data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">path</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">pm_data</span>
+</pre></div>
+</div>
+</div>
+<p>Next, we have the dataprofiler’s dataloader. This allows for the dynamic loading of different data formats which is super useful when the data format is not know ahead of time. This is intended to be an improvement on the dataloader standardly used in pandas.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="k">def</span> <span class="nf">dp_dataloader</span><span class="p">(</span><span class="n">path</span><span class="p">):</span>
+    <span class="c1"># Datalaoder from dataprofiler used</span>
+    <span class="n">dp_data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">path</span><span class="p">)</span>
+
+    <span class="c1"># Profiler used to ensure proper label for datetime even</span>
+    <span class="c1"># when null values exist</span>
+    <span class="n">profiler_options</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">ProfilerOptions</span><span class="p">()</span>
+    <span class="n">profiler_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s1">'*.is_enabled'</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>  <span class="c1"># Runs first disabling all options in profiler</span>
+                          <span class="s1">'*.datetime.is_enabled'</span><span class="p">:</span> <span class="kc">True</span><span class="p">})</span>
+    <span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">dp_data</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">profiler_options</span><span class="p">)</span>
+
+    <span class="c1"># convert any time/datetime types from strings to actual datatime type</span>
+    <span class="k">for</span> <span class="n">ind</span><span class="p">,</span> <span class="n">col</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">dp_data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">columns</span><span class="p">):</span>
+        <span class="k">if</span> <span class="n">profile</span><span class="o">.</span><span class="n">profile</span><span class="p">[</span><span class="n">ind</span><span class="p">]</span><span class="o">.</span><span class="n">profile</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'data_type'</span><span class="p">)</span> <span class="o">==</span> <span class="s1">'datetime'</span><span class="p">:</span>
+            <span class="n">dp_data</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">col</span><span class="p">]</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="n">dp_data</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">col</span><span class="p">])</span>
+
+    <span class="k">return</span> <span class="n">dp_data</span><span class="o">.</span><span class="n">data</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Popmon’s-usage-example-using-both-dataloaders">
+<h2>Popmon’s usage example using both dataloaders<a class="headerlink" href="#Popmon’s-usage-example-using-both-dataloaders" title="Permalink to this headline">¶</a></h2>
+<p>Next, we’ll download a dataset from the resources component</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">gzip</span>
+<span class="kn">import</span> <span class="nn">shutil</span>
+<span class="n">popmon_tutorial_data</span> <span class="o">=</span> <span class="n">popmon</span><span class="o">.</span><span class="n">resources</span><span class="o">.</span><span class="n">data</span><span class="p">(</span><span class="s2">"flight_delays.csv.gz"</span><span class="p">)</span>
+<span class="k">with</span> <span class="n">gzip</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">popmon_tutorial_data</span><span class="p">,</span> <span class="s1">'rb'</span><span class="p">)</span> <span class="k">as</span> <span class="n">f_in</span><span class="p">:</span>
+    <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">'./flight_delays.csv'</span><span class="p">,</span> <span class="s1">'wb'</span><span class="p">)</span> <span class="k">as</span> <span class="n">f_out</span><span class="p">:</span>
+        <span class="n">shutil</span><span class="o">.</span><span class="n">copyfileobj</span><span class="p">(</span><span class="n">f_in</span><span class="p">,</span> <span class="n">f_out</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<p>Finally we read in the data with popmon and print the report to a file</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Default csv from popmon example</span>
+<span class="n">path</span> <span class="o">=</span> <span class="s2">"./flight_delays.csv"</span>
+<span class="n">time_index</span> <span class="o">=</span> <span class="s2">"DATE"</span>
+<span class="n">report_output_dir</span> <span class="o">=</span> <span class="s2">"./popmon_output/flight_delays_full"</span>
+<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">report_output_dir</span><span class="p">):</span>
+    <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">report_output_dir</span><span class="p">)</span>
+
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">pm_data</span> <span class="o">=</span> <span class="n">popmon_dataloader</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">time_index</span><span class="p">)</span>
+
+<span class="n">report_pm_loader</span> <span class="o">=</span> <span class="n">pm_data</span><span class="o">.</span><span class="n">pm_stability_report</span><span class="p">(</span>
+    <span class="n">time_axis</span><span class="o">=</span><span class="n">time_index</span><span class="p">,</span>
+    <span class="n">time_width</span><span class="o">=</span><span class="s2">"1w"</span><span class="p">,</span>
+    <span class="n">time_offset</span><span class="o">=</span><span class="s2">"2015-07-02"</span><span class="p">,</span>
+    <span class="n">extended_report</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="n">pull_rules</span><span class="o">=</span><span class="p">{</span><span class="s2">"*_pull"</span><span class="p">:</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="o">-</span><span class="mi">7</span><span class="p">,</span> <span class="o">-</span><span class="mi">10</span><span class="p">]},</span>
+<span class="p">)</span>
+
+<span class="c1"># Save popmon reports</span>
+<span class="n">report_pm_loader</span><span class="o">.</span><span class="n">to_file</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">report_output_dir</span><span class="p">,</span> <span class="s2">"popmon_loader_report.html"</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"Report printed at:"</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">report_output_dir</span><span class="p">,</span> <span class="s2">"popmon_loader_report.html"</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<p>We then do the same for the dataprofiler loader</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">dp_dataframe</span> <span class="o">=</span> <span class="n">dp_dataloader</span><span class="p">(</span><span class="n">path</span><span class="p">)</span>
+<span class="c1"># Generate pm report using dp dataloader</span>
+<span class="n">report_dp_loader</span> <span class="o">=</span> <span class="n">dp_dataframe</span><span class="o">.</span><span class="n">pm_stability_report</span><span class="p">(</span>
+    <span class="n">time_axis</span><span class="o">=</span><span class="n">time_index</span><span class="p">,</span>
+    <span class="n">time_width</span><span class="o">=</span><span class="s2">"1w"</span><span class="p">,</span>
+    <span class="n">time_offset</span><span class="o">=</span><span class="s2">"2015-07-02"</span><span class="p">,</span>
+    <span class="n">extended_report</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="n">pull_rules</span><span class="o">=</span><span class="p">{</span><span class="s2">"*_pull"</span><span class="p">:</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="o">-</span><span class="mi">7</span><span class="p">,</span> <span class="o">-</span><span class="mi">10</span><span class="p">]},</span>
+<span class="p">)</span>
+
+<span class="c1"># Save popmon reports</span>
+<span class="n">report_dp_loader</span><span class="o">.</span><span class="n">to_file</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">report_output_dir</span><span class="p">,</span> <span class="s2">"dataprofiler_loader_report.html"</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"Report printed at:"</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">report_output_dir</span><span class="p">,</span> <span class="s2">"dataprofiler_loader_report.html"</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Examples-of-data">
+<h2>Examples of data<a class="headerlink" href="#Examples-of-data" title="Permalink to this headline">¶</a></h2>
+<p>Next, We’ll use some data from the test files of the data profiler to compare the dynamic loading of the dataprofiler’s data loader to that of the standard pandas approach.</p>
+</section>
+<section id="Dataprofiler’s-examples-using-both-dataloaders">
+<h2>Dataprofiler’s examples using both dataloaders<a class="headerlink" href="#Dataprofiler’s-examples-using-both-dataloaders" title="Permalink to this headline">¶</a></h2>
+<p>To execute this properly, simply choose one of the 3 examples below and then run the report generation below.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Default csv from popmon example (mini version)</span>
+<span class="n">path</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data/csv/flight_delays.csv"</span>
+<span class="n">time_index</span> <span class="o">=</span> <span class="s2">"DATE"</span>
+<span class="n">report_output_dir</span> <span class="o">=</span> <span class="s2">"./popmon_output/flight_delays_mini"</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Random csv from dataprofiler tests</span>
+<span class="n">path</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv"</span>
+<span class="n">time_index</span> <span class="o">=</span> <span class="s2">"datetime"</span>
+<span class="n">report_output_dir</span> <span class="o">=</span> <span class="s2">"./popmon_output/aws_honeypot_marx_geo"</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Random json file from dataprofiler tests</span>
+<span class="n">path</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data/json/math.json"</span>
+
+<span class="n">time_index</span> <span class="o">=</span> <span class="s2">"data.9"</span>
+<span class="n">report_output_dir</span> <span class="o">=</span> <span class="s2">"./popmon_output/math"</span>
+</pre></div>
+</div>
+</div>
+<p>Run the block below to create an output directory for your popmon reports.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">report_output_dir</span><span class="p">):</span>
+    <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">report_output_dir</span><span class="p">)</span>
+<span class="n">dp_dataframe</span> <span class="o">=</span> <span class="n">dp_dataloader</span><span class="p">(</span><span class="n">path</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Report-comparison">
+<h2>Report comparison<a class="headerlink" href="#Report-comparison" title="Permalink to this headline">¶</a></h2>
+<p>We generate reports using different sets of data from the dataprofiler and pandas below using dataprofiler’s dataloader and popmons report generator</p>
+<p>The dataprofiler’s dataloader can seemlessly switch between data formats and generate reports with the exact same code in place.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Generate pm report using dp dataloader</span>
+<span class="n">report_dp_loader</span> <span class="o">=</span> <span class="n">dp_dataframe</span><span class="o">.</span><span class="n">pm_stability_report</span><span class="p">(</span>
+    <span class="n">time_axis</span><span class="o">=</span><span class="n">time_index</span><span class="p">,</span>
+    <span class="n">time_width</span><span class="o">=</span><span class="s2">"1w"</span><span class="p">,</span>
+    <span class="n">time_offset</span><span class="o">=</span><span class="s2">"2015-07-02"</span><span class="p">,</span>
+    <span class="n">extended_report</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="n">pull_rules</span><span class="o">=</span><span class="p">{</span><span class="s2">"*_pull"</span><span class="p">:</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="o">-</span><span class="mi">7</span><span class="p">,</span> <span class="o">-</span><span class="mi">10</span><span class="p">]},</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<p>If the dataloaders are valid, you can see the reports and compare them at the output directory specified in the printout below each report generation block (the two code blocks below).</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Save dp reports</span>
+<span class="n">report_dp_loader</span><span class="o">.</span><span class="n">to_file</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">report_output_dir</span><span class="p">,</span> <span class="s2">"dataprofiler_loader_report.html"</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"Report printed at:"</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">report_output_dir</span><span class="p">,</span> <span class="s2">"dataprofiler_loader_report.html"</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="API.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">API</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="merge_profile_list.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Merge List of Profiles</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/popmon_dp_loader_example.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Dataloader with Popmon Reports</a><ul>
+<li><a class="reference internal" href="#How-to-Install-Popmon">How to Install Popmon</a></li>
+<li><a class="reference internal" href="#Comparison-of-Dataloaders">Comparison of Dataloaders</a></li>
+<li><a class="reference internal" href="#Popmon’s-usage-example-using-both-dataloaders">Popmon’s usage example using both dataloaders</a></li>
+<li><a class="reference internal" href="#Examples-of-data">Examples of data</a></li>
+<li><a class="reference internal" href="#Dataprofiler’s-examples-using-both-dataloaders">Dataprofiler’s examples using both dataloaders</a></li>
+<li><a class="reference internal" href="#Report-comparison">Report comparison</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/popmon_dp_loader_example.ipynb b/docs/0.10.5/html/popmon_dp_loader_example.ipynb
new file mode 100644
index 000000000..3ddb267da
--- /dev/null
+++ b/docs/0.10.5/html/popmon_dp_loader_example.ipynb
@@ -0,0 +1,416 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "7f0cceea",
+   "metadata": {},
+   "source": [
+    "# Dataloader with Popmon Reports"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9e79d9c5",
+   "metadata": {},
+   "source": [
+    "This demo is to cover the usage of popmon with the dataloader from the dataprofiler\n",
+    "\n",
+    "This demo covers the followings:\n",
+    "\n",
+    "    - How to install popmon\n",
+    "    - Comparison of the dynamic dataloader from dataprofiler to the \n",
+    "        standard dataloader used in pandas\n",
+    "    - Popmon's usage example using both dataloaders\n",
+    "    - Dataprofiler's examples using both dataloaders\n",
+    "    - Usage of the pm_stability_report function (popmon reports)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aec2198a",
+   "metadata": {},
+   "source": [
+    "## How to Install Popmon\n",
+    "To install popmon you can use the command below:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4383ed2a",
+   "metadata": {},
+   "source": [
+    "`pip3 install popmon`\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91dedc34",
+   "metadata": {},
+   "source": [
+    "From here, we can import the libararies needed for this demo."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2adec556",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "import pandas as pd\n",
+    "import popmon  # noqa"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ed532ec",
+   "metadata": {},
+   "source": [
+    "## Comparison of Dataloaders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cccbf4cd",
+   "metadata": {},
+   "source": [
+    "First, we have the original pandas dataloading which works for specific file types. \n",
+    "This is good for if the data format is known ahead of time but is less useful for more dynamic cases."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "96e9ff89",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def popmon_dataloader(path, time_index):\n",
+    "    # Load pm dataframe (Can only read csvs unless reader option is changed)\n",
+    "    if not time_index is None:\n",
+    "        pm_data = pd.read_csv(path, parse_dates=[time_index])\n",
+    "    else:\n",
+    "        time_index = True\n",
+    "        pm_data = pd.read_csv(path)\n",
+    "    return pm_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "16dfbe10",
+   "metadata": {},
+   "source": [
+    "Next, we have the dataprofiler's dataloader. This allows for the dynamic loading of different data formats which is super useful when the data format is not know ahead of time.\n",
+    "This is intended to be an improvement on the dataloader standardly used in pandas."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "07481259",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def dp_dataloader(path):\n",
+    "    # Datalaoder from dataprofiler used\n",
+    "    dp_data = dp.Data(path)\n",
+    "    \n",
+    "    # Profiler used to ensure proper label for datetime even \n",
+    "    # when null values exist\n",
+    "    profiler_options = dp.ProfilerOptions()\n",
+    "    profiler_options.set({'*.is_enabled': False,  # Runs first disabling all options in profiler\n",
+    "                          '*.datetime.is_enabled': True})\n",
+    "    profile = dp.Profiler(dp_data, options=profiler_options)\n",
+    "\n",
+    "    # convert any time/datetime types from strings to actual datatime type\n",
+    "    for ind, col in enumerate(dp_data.data.columns):\n",
+    "        if profile.profile[ind].profile.get('data_type') == 'datetime':\n",
+    "            dp_data.data[col] = pd.to_datetime(dp_data.data[col])\n",
+    "\n",
+    "    return dp_data.data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69a8ea9b",
+   "metadata": {},
+   "source": [
+    "## Popmon's usage example using both dataloaders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff914ca7",
+   "metadata": {},
+   "source": [
+    "Next, we'll download a dataset from the resources component"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bff33da8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import gzip\n",
+    "import shutil\n",
+    "popmon_tutorial_data = popmon.resources.data(\"flight_delays.csv.gz\")\n",
+    "with gzip.open(popmon_tutorial_data, 'rb') as f_in:\n",
+    "    with open('./flight_delays.csv', 'wb') as f_out:\n",
+    "        shutil.copyfileobj(f_in, f_out)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19222c4a",
+   "metadata": {},
+   "source": [
+    "Finally we read in the data with popmon and print the report to a file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0090a2f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Default csv from popmon example\n",
+    "path = \"./flight_delays.csv\"\n",
+    "time_index = \"DATE\"\n",
+    "report_output_dir = \"./popmon_output/flight_delays_full\"\n",
+    "if not os.path.exists(report_output_dir):\n",
+    "    os.makedirs(report_output_dir)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d0abcd9b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pm_data = popmon_dataloader(path, time_index)\n",
+    "\n",
+    "report_pm_loader = pm_data.pm_stability_report(\n",
+    "    time_axis=time_index,\n",
+    "    time_width=\"1w\",\n",
+    "    time_offset=\"2015-07-02\",\n",
+    "    extended_report=False,\n",
+    "    pull_rules={\"*_pull\": [10, 7, -7, -10]},\n",
+    ")\n",
+    "\n",
+    "# Save popmon reports\n",
+    "report_pm_loader.to_file(os.path.join(report_output_dir, \"popmon_loader_report.html\"))\n",
+    "print(\"Report printed at:\", os.path.join(report_output_dir, \"popmon_loader_report.html\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2303b5cf",
+   "metadata": {},
+   "source": [
+    "We then do the same for the dataprofiler loader"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f2854383",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dp_dataframe = dp_dataloader(path)\n",
+    "# Generate pm report using dp dataloader\n",
+    "report_dp_loader = dp_dataframe.pm_stability_report(\n",
+    "    time_axis=time_index,\n",
+    "    time_width=\"1w\",\n",
+    "    time_offset=\"2015-07-02\",\n",
+    "    extended_report=False,\n",
+    "    pull_rules={\"*_pull\": [10, 7, -7, -10]},\n",
+    ")\n",
+    "\n",
+    "# Save popmon reports\n",
+    "report_dp_loader.to_file(os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))\n",
+    "print(\"Report printed at:\", os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8cc4e5f3",
+   "metadata": {},
+   "source": [
+    "## Examples of data\n",
+    "Next, We'll use some data from the test files of the data profiler to compare the dynamic loading of the dataprofiler's data loader to that of the standard pandas approach. \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "352eaeea",
+   "metadata": {},
+   "source": [
+    "## Dataprofiler's examples using both dataloaders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e99af913",
+   "metadata": {},
+   "source": [
+    "To execute this properly, simply choose one of the 3 examples below and then run the report generation below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "80eb601d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Default csv from popmon example (mini version)\n",
+    "path = \"../dataprofiler/tests/data/csv/flight_delays.csv\"\n",
+    "time_index = \"DATE\"\n",
+    "report_output_dir = \"./popmon_output/flight_delays_mini\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0c127288",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Random csv from dataprofiler tests\n",
+    "path = \"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\"\n",
+    "time_index = \"datetime\"\n",
+    "report_output_dir = \"./popmon_output/aws_honeypot_marx_geo\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6cd5c385",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Random json file from dataprofiler tests\n",
+    "path = \"../dataprofiler/tests/data/json/math.json\"\n",
+    "\n",
+    "time_index = \"data.9\"\n",
+    "report_output_dir = \"./popmon_output/math\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ec860cb7",
+   "metadata": {},
+   "source": [
+    "Run the block below to create an output directory for your popmon reports."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cf21835c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not os.path.exists(report_output_dir):\n",
+    "    os.makedirs(report_output_dir)\n",
+    "dp_dataframe = dp_dataloader(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "479975a5",
+   "metadata": {},
+   "source": [
+    "## Report comparison"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "02a355e7",
+   "metadata": {},
+   "source": [
+    "We generate reports using different sets of data from the dataprofiler and pandas below using dataprofiler's dataloader and popmons report generator\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ce69145",
+   "metadata": {},
+   "source": [
+    "The dataprofiler's dataloader can seemlessly switch between data formats and generate reports with the exact same code in place."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a0dcb405",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# Generate pm report using dp dataloader\n",
+    "report_dp_loader = dp_dataframe.pm_stability_report(\n",
+    "    time_axis=time_index,\n",
+    "    time_width=\"1w\",\n",
+    "    time_offset=\"2015-07-02\",\n",
+    "    extended_report=False,\n",
+    "    pull_rules={\"*_pull\": [10, 7, -7, -10]},\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9eb0035c",
+   "metadata": {},
+   "source": [
+    "If the dataloaders are valid, you can see the reports and compare them at the output directory specified in the printout below each report generation block (the two code blocks below)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "efe7d8d6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Save dp reports\n",
+    "report_dp_loader.to_file(os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))\n",
+    "print(\"Report printed at:\", os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/html/profiler.html b/docs/0.10.5/html/profiler.html
new file mode 100644
index 000000000..03720ad47
--- /dev/null
+++ b/docs/0.10.5/html/profiler.html
@@ -0,0 +1,1410 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Labeler (Sensitive Data)" href="data_labeling.html" /><link rel="prev" title="Data Readers" href="data_readers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Profiler - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="profiler">
+<span id="id1"></span><h1>Profiler<a class="headerlink" href="#profiler" title="Permalink to this headline">¶</a></h1>
+<section id="profile-your-data">
+<h2>Profile Your Data<a class="headerlink" href="#profile-your-data" title="Permalink to this headline">¶</a></h2>
+<p>Profiling your data is easy. Just use the data reader, send the data to the
+profiler, and print out the report.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span> <span class="c1"># Auto-Detect &amp; Load: CSV, AVRO, Parquet, JSON, Text</span>
+
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span> <span class="c1"># Calculate Statistics, Entity Recognition, etc</span>
+
+<span class="n">readable_report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">readable_report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>If the data is structured, the profile will return global statistics as well as
+column by column statistics. The vast amount of statistics are listed on the
+intro page.</p>
+<section id="load-a-file">
+<h3>Load a File<a class="headerlink" href="#load-a-file" title="Permalink to this headline">¶</a></h3>
+<p>The profiler should automatically identify the file type and load the data into a <cite>Data Class</cite>.</p>
+<p>Along with other attributtes the <cite>Data class</cite> enables structured data to be accessed via a valid Pandas DataFrame.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># Load a csv file, return a CSVData object</span>
+<span class="n">csv_data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s1">'your_file.csv'</span><span class="p">)</span>
+
+<span class="c1"># Print the first 10 rows of the csv file</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">csv_data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">))</span>
+
+<span class="c1"># Load a parquet file, return a ParquetData object</span>
+<span class="n">parquet_data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s1">'your_file.parquet'</span><span class="p">)</span>
+
+<span class="c1"># Sort the data by the name column</span>
+<span class="n">parquet_data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">'name'</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># Print the sorted first 10 rows of the parquet data</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">parquet_data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>If the file type is not automatically identified (rare), you can specify them
+specifically, see section Data Readers.</p>
+</section>
+<section id="profile-a-file">
+<h3>Profile a File<a class="headerlink" href="#profile-a-file" title="Permalink to this headline">¶</a></h3>
+<p>Example uses a CSV file for example, but CSV, JSON, Avro or Parquet should also work.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load file (CSV should be automatically identified)</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+
+<span class="c1"># Profile the dataset</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Generate a report and use json to prettify.</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+
+<span class="c1"># Print the report</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="updating-profiles">
+<h3>Updating Profiles<a class="headerlink" href="#updating-profiles" title="Permalink to this headline">¶</a></h3>
+<p>Currently, the data profiler is equipped to update its profile in batches.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load and profile a CSV file</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Update the profile with new data:</span>
+<span class="n">new_data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"new_data.csv"</span><span class="p">)</span>
+<span class="n">profile</span><span class="o">.</span><span class="n">update_profile</span><span class="p">(</span><span class="n">new_data</span><span class="p">)</span>
+
+<span class="c1"># Print the report using json to prettify.</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="merging-profiles">
+<h3>Merging Profiles<a class="headerlink" href="#merging-profiles" title="Permalink to this headline">¶</a></h3>
+<p>If you have two files with the same schema (but different data), it is possible to merge the two profiles together via an addition operator.</p>
+<p>This also enables profiles to be determined in a distributed manner.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load a CSV file with a schema</span>
+<span class="n">data1</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"file_a.csv"</span><span class="p">)</span>
+<span class="n">profile1</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Load another CSV file with the same schema</span>
+<span class="n">data2</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"file_b.csv"</span><span class="p">)</span>
+<span class="n">profile2</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="n">profile3</span> <span class="o">=</span> <span class="n">profile1</span> <span class="o">+</span> <span class="n">profile2</span>
+
+<span class="c1"># Print the report using json to prettify.</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile3</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="profile-differences">
+<h3>Profile Differences<a class="headerlink" href="#profile-differences" title="Permalink to this headline">¶</a></h3>
+<p>Profile differences take two profiles and find the differences
+between them. Create the difference report like this:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load a CSV file</span>
+<span class="n">data1</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"file_a.csv"</span><span class="p">)</span>
+<span class="n">profile1</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Load another CSV file</span>
+<span class="n">data2</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"file_b.csv"</span><span class="p">)</span>
+<span class="n">profile2</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="n">diff_report</span> <span class="o">=</span> <span class="n">profile1</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">profile2</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">diff_report</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>The <cite>.diff()</cite> operation is available between two profiles, although there are different
+outputs depending on the type of profile being differenced. For example, for numerical
+column profiles (e.g. integers and floats), two valuable calculations that
+<cite>.diff()</cite> returns are <cite>t-test</cite>, <cite>chi2-test</cite>, and <cite>psi</cite> (Popoulation Stability Index)
+for understanding distributional changes.</p>
+<p>The difference report contains a dictionary that mirrors the profile report.
+Each data type has its own difference:</p>
+<ul class="simple">
+<li><p><strong>Int/Float</strong> - One profile subtracts the value from the other.</p></li>
+<li><p><strong>String</strong> - The strings will be shown in a list:</p>
+<ul>
+<li><p>[profile1 str, profile2 str]</p></li>
+</ul>
+</li>
+<li><p><strong>List</strong> - A list of 3 will be returned showing the unique values of
+each profile and the shared values:</p>
+<ul>
+<li><p>[profile 1 unique values, shared values, profile 2 unique values]</p></li>
+</ul>
+</li>
+<li><p><strong>Dict</strong> - Some dictionaries with varied keys will also return a list
+of three in the format:</p>
+<ul>
+<li><p>[profile 1 unique key-values, shared key differences, profile 2 unique key-values]</p></li>
+</ul>
+</li>
+</ul>
+<p>Otherwise, when no differences occur:</p>
+<ul class="simple">
+<li><p><strong>Any Type No Differences</strong> - A string will report: “unchanged”.</p></li>
+</ul>
+<p>Below is the structured difference report:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
+    <span class="s1">'global_stats'</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s1">'file_type'</span><span class="p">:</span> <span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span>
+        <span class="s1">'encoding'</span><span class="p">:</span> <span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span>
+        <span class="s1">'samples_used'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="s1">'column_count'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="s1">'row_count'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="s1">'row_has_null_ratio'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+        <span class="s1">'row_is_null_ratio'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+        <span class="s1">'unique_row_ratio'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+        <span class="s1">'duplicate_row_count'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="s1">'correlation_matrix'</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">]],</span>
+        <span class="s1">'chi2_matrix'</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">]],</span>
+        <span class="s1">'profile_schema'</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]]</span>
+    <span class="p">},</span>
+    <span class="s1">'data_stats'</span><span class="p">:</span> <span class="p">[{</span>
+        <span class="s1">'column_name'</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+        <span class="s1">'data_type'</span><span class="p">:</span> <span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span>
+        <span class="s1">'data_label'</span><span class="p">:</span> <span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">]],</span>
+        <span class="s1">'categorical'</span><span class="p">:</span> <span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span>
+        <span class="s1">'order'</span><span class="p">:</span> <span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span>
+        <span class="s1">'statistics'</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s1">'min'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'max'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'sum'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'mean'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'median'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'mode'</span><span class="p">:</span> <span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">]],</span>
+            <span class="s1">'median_absolute_deviation'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'variance'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'stddev'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'t-test'</span><span class="p">:</span> <span class="p">{</span>
+                <span class="s1">'t-statistic'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+                <span class="s1">'conservative'</span><span class="p">:</span> <span class="p">{</span><span class="s1">'df'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+                                 <span class="s1">'p-value'</span><span class="p">:</span> <span class="nb">float</span><span class="p">},</span>
+                <span class="s1">'welch'</span><span class="p">:</span> <span class="p">{</span><span class="s1">'df'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+                          <span class="s1">'p-value'</span><span class="p">:</span> <span class="nb">float</span><span class="p">}},</span>
+            <span class="s1">'psi'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"chi2-test"</span><span class="p">:</span> <span class="p">{</span>
+                <span class="s2">"chi2-statistic"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+                <span class="s2">"df"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+                <span class="s2">"p-value"</span><span class="p">:</span> <span class="nb">float</span>
+            <span class="p">},</span>
+            <span class="s1">'unique_count'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s1">'unique_ratio'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'categories'</span><span class="p">:</span> <span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">]],</span>
+            <span class="s1">'gini_impurity'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'unalikeability'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'categorical_count'</span><span class="p">:</span> <span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]],</span>
+            <span class="s1">'avg_predictions'</span><span class="p">:</span> <span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]],</span>
+            <span class="s1">'label_representation'</span><span class="p">:</span> <span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]],</span>
+            <span class="s1">'sample_size'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s1">'null_count'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s1">'null_types'</span><span class="p">:</span> <span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">]],</span>
+            <span class="s1">'null_types_index'</span><span class="p">:</span> <span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]],</span>
+            <span class="s1">'data_type_representation'</span><span class="p">:</span> <span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]]</span>
+        <span class="p">},</span>
+        <span class="s2">"null_replication_metrics"</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s2">"class_prior"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
+            <span class="s2">"class_sum"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
+            <span class="s2">"class_mean"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">]]</span>
+        <span class="p">}</span>
+    <span class="p">}</span>
+</pre></div>
+</div>
+<p>Below is the unstructured difference report:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
+    <span class="s1">'global_stats'</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s1">'file_type'</span><span class="p">:</span> <span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span>
+        <span class="s1">'encoding'</span><span class="p">:</span> <span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span>
+        <span class="s1">'samples_used'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="s1">'empty_line_count'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="s1">'memory_size'</span><span class="p">:</span> <span class="nb">float</span>
+    <span class="p">},</span>
+    <span class="s1">'data_stats'</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s1">'data_label'</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s1">'entity_counts'</span><span class="p">:</span> <span class="p">{</span>
+                <span class="s1">'word_level'</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span>
+                <span class="s1">'true_char_level'</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span>
+                <span class="s1">'postprocess_char_level'</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]</span>
+            <span class="p">},</span>
+            <span class="s1">'entity_percentages'</span><span class="p">:</span> <span class="p">{</span>
+                <span class="s1">'word_level'</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+                <span class="s1">'true_char_level'</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+                <span class="s1">'postprocess_char_level'</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+            <span class="p">}</span>
+        <span class="p">},</span>
+        <span class="s1">'statistics'</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s1">'vocab'</span><span class="p">:</span> <span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">]],</span>
+            <span class="s1">'vocab_count'</span><span class="p">:</span> <span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]],</span>
+            <span class="s1">'words'</span><span class="p">:</span> <span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">]],</span>
+            <span class="s1">'word_count'</span><span class="p">:</span> <span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]]</span>
+        <span class="p">}</span>
+    <span class="p">}</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</section>
+<section id="saving-and-loading-a-profile">
+<h3>Saving and Loading a Profile<a class="headerlink" href="#saving-and-loading-a-profile" title="Permalink to this headline">¶</a></h3>
+<p>The profiles can easily be saved and loaded as shown below:</p>
+<p><strong>NOTE: Json saving and loading only supports Structured Profiles currently.</strong></p>
+<p>There are two save/load methods:</p>
+<ul class="simple">
+<li><p><strong>Pickle save/load</strong></p>
+<ul>
+<li><p>Save a profile as a <cite>.pkl</cite> file.</p></li>
+<li><p>Load a <cite>.pkl</cite> file as a profile object.</p></li>
+</ul>
+</li>
+</ul>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load a CSV file, with "," as the delimiter</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+
+<span class="c1"># Read data into profile</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># save structured profile to pkl file</span>
+<span class="n">profile</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s2">"my_profile.pkl"</span><span class="p">)</span>
+
+<span class="c1"># load pkl file to structured profile</span>
+<span class="n">loaded_pkl_profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s2">"my_profile.pkl"</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">loaded_pkl_profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"compact"</span><span class="p">}),</span>
+                                       <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p><strong>Json save/load</strong></p>
+<ul>
+<li><p>Save a profile as a human-readable <cite>.json</cite> file.</p></li>
+<li><p>Load a <cite>.json</cite> file as a profile object.</p></li>
+</ul>
+</li>
+</ul>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load a CSV file, with "," as the delimiter</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+
+<span class="c1"># Read data into profile</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># save structured profile to json file</span>
+<span class="n">profile</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s2">"my_profile.json"</span><span class="p">,</span> <span class="n">save_method</span><span class="o">=</span><span class="s2">"json"</span><span class="p">)</span>
+
+<span class="c1"># load json file to structured profile</span>
+<span class="n">loaded_json_profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s2">"my_profile.json"</span><span class="p">,</span> <span class="n">load_method</span><span class="o">=</span><span class="s2">"json"</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">loaded_json_profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"compact"</span><span class="p">}),</span>
+                                       <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="structured-vs-unstructured-profiles">
+<h3>Structured vs Unstructured Profiles<a class="headerlink" href="#structured-vs-unstructured-profiles" title="Permalink to this headline">¶</a></h3>
+<p>When using the profiler, the data profiler will automatically infer whether to
+create the structured profile or the unstructured profile. However, you can be
+explicit as shown below:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Creating a structured profile</span>
+<span class="n">data1</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"normal_csv_file.csv"</span><span class="p">)</span>
+<span class="n">structured_profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data1</span><span class="p">,</span> <span class="n">profiler_type</span><span class="o">=</span><span class="s2">"structured"</span><span class="p">)</span>
+
+<span class="n">structured_report</span> <span class="o">=</span> <span class="n">structured_profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">structured_report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+
+<span class="c1"># Creating an unstructured profile</span>
+<span class="n">data2</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"normal_text_file.txt"</span><span class="p">)</span>
+<span class="n">unstructured_profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data2</span><span class="p">,</span> <span class="n">profiler_type</span><span class="o">=</span><span class="s2">"unstructured"</span><span class="p">)</span>
+
+<span class="n">unstructured_report</span> <span class="o">=</span> <span class="n">unstructured_profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">unstructured_report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="setting-the-sample-size">
+<h3>Setting the Sample Size<a class="headerlink" href="#setting-the-sample-size" title="Permalink to this headline">¶</a></h3>
+<p>There are two ways to set sample size in a profile: samples_per_update and
+min_true_samples. Samples_per_update takes an integer as the exact amount that
+will be sampled. Min_true_samples will set the minimum amount of samples that
+are not null. For example:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Profiler</span>
+
+<span class="n">sample_array</span> <span class="o">=</span> <span class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">NULL</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">]</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">sample_array</span><span class="p">,</span> <span class="n">samples_per_update</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>The first two samples (1.0 and NULL) are used for the statistical analysis.</p>
+<p>In contrast, if we also set min_true_samples to 2 then the Data Reader will
+continue to read until the minimum true samples were found for the given column.
+For example:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Profiler</span>
+
+<span class="n">sample_array</span> <span class="o">=</span> <span class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">NULL</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">]</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">sample_array</span><span class="p">,</span> <span class="n">samples_per_update</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">min_true_samples</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>This will use all samples in the statistical analysis until the number of “true”
+(non-NULL) values are reached. Both min_true_samples and
+samples_per_update conditions must be met. In this case, the profile will grab
+the first two samples (1.0 and NULL) to satisfy the samples_per_update, and then
+it will grab the first two VALID samples (1.0 and 2.0) to satisfy the
+min_true_samples.</p>
+</section>
+<section id="profile-a-pandas-dataframe">
+<h3>Profile a Pandas DataFrame<a class="headerlink" href="#profile-a-pandas-dataframe" title="Permalink to this headline">¶</a></h3>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">import</span> <span class="nn">json</span>
+
+<span class="n">my_dataframe</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">([[</span><span class="mi">1</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">],[</span><span class="mi">1</span><span class="p">,</span> <span class="mf">2.2</span><span class="p">],[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">]])</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">my_dataframe</span><span class="p">)</span>
+
+<span class="c1"># print the report using json to prettify.</span>
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+
+<span class="c1"># read a specified column, in this case it is labeled 0:</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">[</span><span class="s2">"data stats"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="specifying-a-filetype-or-delimiter">
+<h3>Specifying a Filetype or Delimiter<a class="headerlink" href="#specifying-a-filetype-or-delimiter" title="Permalink to this headline">¶</a></h3>
+<p>Example of specifying a CSV data type, with a <cite>,</cite> delimiter.
+In addition, it utilizes only the first 10,000 rows.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.data_readers.csv_data</span> <span class="kn">import</span> <span class="n">CSVData</span>
+
+<span class="c1"># Load a CSV file, with "," as the delimiter</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">CSVData</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="p">{</span><span class="s2">"delimiter"</span><span class="p">:</span> <span class="s2">","</span><span class="p">})</span>
+
+<span class="c1"># Split the data, such that only the first 10,000 rows are used</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">10000</span><span class="p">]</span>
+
+<span class="c1"># Read in profile and print results</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">}),</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="setting-profiler-seed">
+<h3>Setting Profiler Seed<a class="headerlink" href="#setting-profiler-seed" title="Permalink to this headline">¶</a></h3>
+<p>Example of specifying a seed for reproducibility.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="c1"># Set seed to non-negative integer value or None</span>
+<span class="n">dp</span><span class="o">.</span><span class="n">set_seed</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
+</pre></div>
+</div>
+</section>
+</section>
+<section id="profile-statistic-descriptions">
+<h2>Profile Statistic Descriptions<a class="headerlink" href="#profile-statistic-descriptions" title="Permalink to this headline">¶</a></h2>
+<section id="structured-profile">
+<h3>Structured Profile<a class="headerlink" href="#structured-profile" title="Permalink to this headline">¶</a></h3>
+<p><strong>global_stats</strong>:</p>
+<ul class="simple">
+<li><p>samples_used - number of input data samples used to generate this profile</p></li>
+<li><p>column_count - the number of columns contained in the input dataset</p></li>
+<li><p>row_count - the number of rows contained in the input dataset</p></li>
+<li><p>row_has_null_ratio - the proportion of rows that contain at least one null value to the total number of rows</p></li>
+<li><p>row_is_null_ratio - the proportion of rows that are fully comprised of null values (null rows) to the total number of rows</p></li>
+<li><p>unique_row_ratio - the proportion of distinct rows in the input dataset to the total number of rows</p></li>
+<li><p>duplicate_row_count - the number of rows that occur more than once in the input dataset</p></li>
+<li><p>file_type - the format of the file containing the input dataset (ex: .csv)</p></li>
+<li><p>encoding - the encoding of the file containing the input dataset (ex: UTF-8)</p></li>
+<li><p>correlation_matrix - matrix of shape <cite>column_count</cite> x <cite>column_count</cite> containing the correlation coefficients between each column in the dataset</p></li>
+<li><p>chi2_matrix - matrix of shape <cite>column_count</cite> x <cite>column_count</cite> containing the chi-square statistics between each column in the dataset</p></li>
+<li><dl class="simple">
+<dt>profile_schema - a description of the format of the input dataset labeling each column and its index in the dataset</dt><dd><ul>
+<li><p>string - the label of the column in question and its index in the profile schema</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><p>times - the duration of time it took to generate the global statistics for this dataset in milliseconds</p></li>
+</ul>
+<p><strong>data_stats</strong>:</p>
+<ul class="simple">
+<li><p>column_name - the label/title of this column in the input dataset</p></li>
+<li><p>data_type - the primitive python data type that is contained within this column</p></li>
+<li><p>data_label - the label/entity of the data in this column as determined by the Labeler component</p></li>
+<li><p>categorical - ‘true’ if this column contains categorical data</p></li>
+<li><p>order - the way in which the data in this column is ordered, if any, otherwise “random”</p></li>
+<li><p>samples - a small subset of data entries from this column</p></li>
+<li><dl class="simple">
+<dt>statistics - statistical information on the column</dt><dd><ul>
+<li><p>sample_size - number of input data samples used to generate this profile</p></li>
+<li><p>null_count - the number of null entries in the sample</p></li>
+<li><p>null_types - a list of the different null types present within this sample</p></li>
+<li><p>null_types_index - a dict containing each null type and a respective list of the indicies that it is present within this sample</p></li>
+<li><p>data_type_representation - the percentage of samples used identifying as each data_type</p></li>
+<li><p>min - minimum value in the sample</p></li>
+<li><p>max - maximum value in the sample</p></li>
+<li><p>mode - mode of the entries in the sample</p></li>
+<li><p>median - median of the entries in the sample</p></li>
+<li><p>median_absolute_deviation - the median absolute deviation of the entries in the sample</p></li>
+<li><p>sum - the total of all sampled values from the column</p></li>
+<li><p>mean - the average of all entries in the sample</p></li>
+<li><p>variance - the variance of all entries in the sample</p></li>
+<li><p>stddev - the standard deviation of all entries in the sample</p></li>
+<li><p>skewness - the statistical skewness of all entries in the sample</p></li>
+<li><p>kurtosis - the statistical kurtosis of all entries in the sample</p></li>
+<li><p>num_zeros - the number of entries in this sample that have the value 0</p></li>
+<li><p>num_negatives - the number of entries in this sample that have a value less than 0</p></li>
+<li><dl class="simple">
+<dt>histogram - contains histogram relevant information</dt><dd><ul>
+<li><p>bin_counts - the number of entries within each bin</p></li>
+<li><p>bin_edges - the thresholds of each bin</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><p>quantiles - the value at each percentile in the order they are listed based on the entries in the sample</p></li>
+<li><p>vocab - a list of the characters used within the entries in this sample</p></li>
+<li><p>avg_predictions - average of the data label prediction confidences across all data points sampled</p></li>
+<li><p>categories - a list of each distinct category within the sample if <cite>categorial</cite> = ‘true’</p></li>
+<li><p>unique_count - the number of distinct entries in the sample</p></li>
+<li><p>unique_ratio - the proportion of the number of distinct entries in the sample to the total number of entries in the sample</p></li>
+<li><p>categorical_count - number of entries sampled for each category if <cite>categorical</cite> = ‘true’</p></li>
+<li><p>gini_impurity - measure of how often a randomly chosen element from the set would be incorrectly labeled if it was randomly labeled according to the distribution of labels in the subset</p></li>
+<li><p>unalikeability - a value denoting how frequently entries differ from one another within the sample</p></li>
+<li><p>precision - a dict of statistics with respect to the number of digits in a number for each sample</p></li>
+<li><p>times - the duration of time it took to generate this sample’s statistics in milliseconds</p></li>
+<li><p>format - list of possible datetime formats</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt>null_replication_metrics - statistics of data partitioned based on whether column value is null (index 1 of lists referenced by dict keys) or not (index 0)</dt><dd><ul>
+<li><p>class_prior - a list containing probability of a column value being null and not null</p></li>
+<li><p>class_sum - a list containing sum of all other rows based on whether column value is null or not</p></li>
+<li><p>class_mean - a list containing mean of all other rows based on whether column value is null or not</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+</ul>
+</section>
+<section id="unstructured-profile">
+<h3>Unstructured Profile<a class="headerlink" href="#unstructured-profile" title="Permalink to this headline">¶</a></h3>
+<p><strong>global_stats</strong>:</p>
+<ul class="simple">
+<li><p>samples_used - number of input data samples used to generate this profile</p></li>
+<li><p>empty_line_count - the number of empty lines in the input data</p></li>
+<li><p>file_type - the file type of the input data (ex: .txt)</p></li>
+<li><p>encoding - file encoding of the input data file (ex: UTF-8)</p></li>
+<li><p>memory_size - size of the input data in MB</p></li>
+<li><p>times - duration of time it took to generate this profile in milliseconds</p></li>
+</ul>
+<p><strong>data_stats</strong>:</p>
+<ul class="simple">
+<li><dl class="simple">
+<dt>data_label - labels and statistics on the labels of the input data</dt><dd><ul>
+<li><dl class="simple">
+<dt>entity_counts - the number of times a specific label or entity appears inside the input data</dt><dd><ul>
+<li><p>word_level - the number of words counted within each label or entity</p></li>
+<li><p>true_char_level - the number of characters counted within each label or entity as determined by the model</p></li>
+<li><p>postprocess_char_level - the number of characters counted within each label or entity as determined by the postprocessor</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt>entity_percentages - the percentages of each label or entity within the input data</dt><dd><ul>
+<li><p>word_level - the percentage of words in the input data that are contained within each label or entity</p></li>
+<li><p>true_char_level - the percentage of characters in the input data that are contained within each label or entity as determined by the model</p></li>
+<li><p>postprocess_char_level - the percentage of characters in the input data that are contained within each label or entity as determined by the postprocessor</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><p>times - the duration of time it took for the data labeler to predict on the data</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt>statistics - statistics of the input data</dt><dd><ul>
+<li><p>vocab - a list of each character in the input data</p></li>
+<li><p>vocab_count - the number of occurrences of each distinct character in the input data</p></li>
+<li><p>words - a list of each word in the input data</p></li>
+<li><p>word_count - the number of occurrences of each distinct word in the input data</p></li>
+<li><p>times - the duration of time it took to generate the vocab and words statistics in milliseconds</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+</ul>
+</section>
+<section id="graph-profile">
+<h3>Graph Profile<a class="headerlink" href="#graph-profile" title="Permalink to this headline">¶</a></h3>
+<ul class="simple">
+<li><p>num_nodes - number of nodes in the graph</p></li>
+<li><p>num_edges - number of edges in the graph</p></li>
+<li><p>categorical_attributes - list of categorical edge attributes</p></li>
+<li><p>continuous_attributes - list of continuous edge attributes</p></li>
+<li><p>avg_node_degree - average degree of nodes in the graph</p></li>
+<li><p>global_max_component_size: size of the global max component</p></li>
+</ul>
+<p><strong>continuous_distribution</strong>:</p>
+<ul class="simple">
+<li><dl class="simple">
+<dt>&lt;attribute_N&gt;: name of N-th edge attribute in list of attributes</dt><dd><ul>
+<li><p>name - name of distribution for attribute</p></li>
+<li><p>scale - negative log likelihood used to scale and compare distributions</p></li>
+<li><dl class="simple">
+<dt>properties - list of statistical properties describing the distribution</dt><dd><ul>
+<li><p>[shape (optional), loc, scale, mean, variance, skew, kurtosis]</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+</ul>
+</dd>
+</dl>
+</li>
+</ul>
+<p><strong>categorical_distribution</strong>:</p>
+<ul class="simple">
+<li><dl class="simple">
+<dt>&lt;attribute_N&gt;: name of N-th edge attribute in list of attributes</dt><dd><ul>
+<li><p>bin_counts: counts in each bin of the distribution histogram</p></li>
+<li><p>bin_edges: edges of each bin of the distribution histogram</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><p>times - duration of time it took to generate this profile in milliseconds</p></li>
+</ul>
+</section>
+</section>
+<section id="profile-options">
+<h2>Profile Options<a class="headerlink" href="#profile-options" title="Permalink to this headline">¶</a></h2>
+<p>The data profiler accepts several options to toggle on and off
+features. The 8 columns (int options, float options, datetime options,
+text options, order options, category options, data labeler options) can be
+enabled or disabled. By default, all options are toggled on. Below is an example
+of how to alter these options. Options shared by structured and unstructured options
+must be specified as structured or unstructured when setting (ie. datalabeler options).</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span><span class="p">,</span> <span class="n">ProfilerOptions</span>
+
+<span class="c1"># Load and profile a CSV file</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+<span class="n">profile_options</span> <span class="o">=</span> <span class="n">ProfilerOptions</span><span class="p">()</span>
+
+<span class="c1">#All of these are different examples of adjusting the profile options</span>
+
+<span class="c1"># Options can be toggled directly like this:</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">structured_options</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">is_enabled</span> <span class="o">=</span> <span class="kc">False</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">structured_options</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">vocab</span><span class="o">.</span><span class="n">is_enabled</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">structured_options</span><span class="o">.</span><span class="n">int</span><span class="o">.</span><span class="n">variance</span><span class="o">.</span><span class="n">is_enabled</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">structured_options</span><span class="o">.</span><span class="n">data_labeler</span><span class="o">.</span><span class="n">data_labeler_dirpath</span> <span class="o">=</span> \
+    <span class="s2">"Wheres/My/Datalabeler"</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">structured_options</span><span class="o">.</span><span class="n">data_labeler</span><span class="o">.</span><span class="n">is_enabled</span> <span class="o">=</span> <span class="kc">False</span>
+
+<span class="c1"># A dictionary can be sent in to set the properties for all the options</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s2">"structured_options.data_labeler.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span> <span class="s2">"min.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">})</span>
+
+<span class="c1"># Specific columns can be set/disabled/enabled in the same way</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">structured_options</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s2">"max.is_enabled"</span><span class="p">:</span><span class="kc">True</span><span class="p">,</span>
+                                         <span class="s2">"variance.is_enabled"</span><span class="p">:</span> <span class="kc">True</span><span class="p">})</span>
+
+<span class="c1"># numeric stats can be turned off/on entirely</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s2">"is_numeric_stats_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">})</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s2">"int.is_numeric_stats_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">})</span>
+
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">profile_options</span><span class="p">)</span>
+
+<span class="c1"># Print the report using json to prettify.</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Below is an breakdown of all the options.</p>
+<ul>
+<li><p><strong>ProfilerOptions</strong> - The top-level options class that contains options for the Profiler class</p>
+<ul>
+<li><p><strong>presets</strong> - A pre-configured mapping of a string name to group of options:</p>
+<ul class="simple">
+<li><p><strong>default is None</strong></p></li>
+<li><p><strong>“complete”</strong></p></li>
+</ul>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="n">ProfilerOptions</span><span class="p">(</span><span class="n">presets</span><span class="o">=</span><span class="s2">"complete"</span><span class="p">)</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p><strong>“data_types”</strong></p></li>
+</ul>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="n">ProfilerOptions</span><span class="p">(</span><span class="n">presets</span><span class="o">=</span><span class="s2">"data_types"</span><span class="p">)</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p><strong>“numeric_stats_disabled”</strong></p></li>
+</ul>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="n">ProfilerOptions</span><span class="p">(</span><span class="n">presets</span><span class="o">=</span><span class="s2">"numeric_stats_disabled"</span><span class="p">)</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p><strong>“lower_memory_sketching”</strong></p></li>
+</ul>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="n">ProfilerOptions</span><span class="p">(</span><span class="n">presets</span><span class="o">=</span><span class="s2">"lower_memory_sketching"</span><span class="p">)</span>
+</pre></div>
+</div>
+</li>
+<li><p><strong>structured_options</strong> - Options responsible for all structured data</p>
+<ul class="simple">
+<li><p><strong>multiprocess</strong> - Option to enable multiprocessing. If on, multiprocessing is toggled on if the dataset contains more than 750,000 rows or more than 20 columns.
+Automatically selects the optimal number of pooling processes to utilize based on system constraints when toggled on.</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables multiprocessing</p></li>
+</ul>
+</li>
+<li><p><strong>sampling_ratio</strong> - A percentage, as a decimal, ranging from greater than 0 to less than or equal to 1 indicating how much input data to sample. Default value set to 0.2.</p></li>
+<li><p><strong>int</strong> - Options for the integer columns</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the integer operations</p></li>
+<li><p>min - Finds minimum value in a column</p></li>
+<li><p>is_enabled - (Boolean) Enables or disables min</p></li>
+<li><p>max - Finds maximum value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables max</p></li>
+</ul>
+</li>
+<li><p>mode - Finds mode(s) in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables mode</p></li>
+<li><p>top_k_modes - (Int) Sets the number of modes to return if multiple exist. Default returns max 5 modes.</p></li>
+</ul>
+</li>
+<li><p>median - Finds median value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables median</p></li>
+</ul>
+</li>
+<li><p>sum - Finds sum of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables sum</p></li>
+</ul>
+</li>
+<li><p>variance - Finds variance of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables variance</p></li>
+</ul>
+</li>
+<li><p>skewness - Finds skewness of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables skewness</p></li>
+</ul>
+</li>
+<li><p>kurtosis - Finds kurtosis of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables kurtosis</p></li>
+</ul>
+</li>
+<li><p>median_abs_deviation - Finds median absolute deviation of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables median absolute deviation</p></li>
+</ul>
+</li>
+<li><p>num_zeros - Finds the count of zeros in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables num_zeros</p></li>
+</ul>
+</li>
+<li><p>num_negatives - Finds the count of negative numbers in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables num_negatives</p></li>
+</ul>
+</li>
+<li><p>bias_correction - Applies bias correction to variance, skewness, and kurtosis calculations</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables bias correction</p></li>
+</ul>
+</li>
+<li><p>histogram_and_quantiles - Generates a histogram and quantiles
+from the column values</p>
+<ul>
+<li><p>bin_count_or_method - (String/List[String]) Designates preferred method for calculating histogram bins or the number of bins to use.
+If left unspecified (None) the optimal method will be chosen by attempting all methods.
+If multiple specified (list) the optimal method will be chosen by attempting the provided ones.
+methods: ‘auto’, ‘fd’, ‘doane’, ‘scott’, ‘rice’, ‘sturges’, ‘sqrt’
+Note: ‘auto’ is used to choose optimally between ‘fd’ and ‘sturges’</p></li>
+<li><p>num_quantiles - (Int) Number of quantiles to bin the data.
+Default value is set to 1,000 quantiles.</p></li>
+<li><p>is_enabled - (Boolean) Enables or disables histogram and quantiles</p></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><p><strong>float</strong> - Options for the float columns</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the float operations</p></li>
+<li><p>precision - Finds the precision (significant figures) within the column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables precision</p></li>
+</ul>
+</li>
+<li><p>sample_ratio - (Float) The ratio of 0 to 1 how much data (identified as floats) to utilize as samples in determining precision</p></li>
+<li><p>min - Finds minimum value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables min</p></li>
+</ul>
+</li>
+<li><p>max - Finds maximum value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables max</p></li>
+</ul>
+</li>
+<li><p>mode - Finds mode(s) in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables mode</p></li>
+<li><p>top_k_modes - (Int) Sets the number of modes to return if multiple exist. Default returns max 5 modes.</p></li>
+</ul>
+</li>
+<li><p>median - Finds median value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables median</p></li>
+</ul>
+</li>
+<li><p>sum - Finds sum of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables sum</p></li>
+</ul>
+</li>
+<li><p>variance - Finds variance of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables variance</p></li>
+</ul>
+</li>
+<li><p>skewness - Finds skewness of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables skewness</p></li>
+</ul>
+</li>
+<li><p>kurtosis - Finds kurtosis of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables kurtosis</p></li>
+</ul>
+</li>
+<li><p>median_abs_deviation - Finds median absolute deviation of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables median absolute deviation</p></li>
+</ul>
+</li>
+<li><p>is_numeric_stats_enabled - (Boolean) enable or disable all numeric stats</p></li>
+<li><p>num_zeros - Finds the count of zeros in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables num_zeros</p></li>
+</ul>
+</li>
+<li><p>num_negatives - Finds the count of negative numbers in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables num_negatives</p></li>
+</ul>
+</li>
+<li><p>bias_correction - Applies bias correction to variance, skewness, and kurtosis calculations</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables bias correction</p></li>
+</ul>
+</li>
+<li><p>histogram_and_quantiles - Generates a histogram and quantiles
+from the column values</p>
+<ul>
+<li><p>bin_count_or_method - (String/List[String]) Designates preferred method for calculating histogram bins or the number of bins to use.
+If left unspecified (None) the optimal method will be chosen by attempting all methods.
+If multiple specified (list) the optimal method will be chosen by attempting the provided ones.
+methods: ‘auto’, ‘fd’, ‘doane’, ‘scott’, ‘rice’, ‘sturges’, ‘sqrt’
+Note: ‘auto’ is used to choose optimally between ‘fd’ and ‘sturges’</p></li>
+<li><p>num_quantiles - (Int) Number of quantiles to bin the data.
+Default value is set to 1,000 quantiles.</p></li>
+<li><p>is_enabled - (Boolean) Enables or disables histogram and quantiles</p></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><p><strong>text</strong> - Options for the text columns</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the text operations</p></li>
+<li><p>vocab - Finds all the unique characters used in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables vocab</p></li>
+</ul>
+</li>
+<li><p>min - Finds minimum value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables min</p></li>
+</ul>
+</li>
+<li><p>max - Finds maximum value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables max</p></li>
+</ul>
+</li>
+<li><p>mode - Finds mode(s) in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables mode</p></li>
+<li><p>top_k_modes - (Int) Sets the number of modes to return if multiple exist. Default returns max 5 modes.</p></li>
+</ul>
+</li>
+<li><p>median - Finds median value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables median</p></li>
+</ul>
+</li>
+<li><p>sum - Finds sum of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables sum</p></li>
+</ul>
+</li>
+<li><p>variance - Finds variance of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables variance</p></li>
+</ul>
+</li>
+<li><p>skewness - Finds skewness of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables skewness</p></li>
+</ul>
+</li>
+<li><p>kurtosis - Finds kurtosis of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables kurtosis</p></li>
+</ul>
+</li>
+<li><p>median_abs_deviation - Finds median absolute deviation of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables median absolute deviation</p></li>
+</ul>
+</li>
+<li><p>bias_correction - Applies bias correction to variance, skewness, and kurtosis calculations</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables bias correction</p></li>
+</ul>
+</li>
+<li><p>is_numeric_stats_enabled - (Boolean) enable or disable all numeric stats</p></li>
+<li><p>num_zeros - Finds the count of zeros in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables num_zeros</p></li>
+</ul>
+</li>
+<li><p>num_negatives - Finds the count of negative numbers in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables num_negatives</p></li>
+</ul>
+</li>
+<li><p>histogram_and_quantiles - Generates a histogram and quantiles
+from the column values</p>
+<ul>
+<li><p>bin_count_or_method - (String/List[String]) Designates preferred method for calculating histogram bins or the number of bins to use.
+If left unspecified (None) the optimal method will be chosen by attempting all methods.
+If multiple specified (list) the optimal method will be chosen by attempting the provided ones.
+methods: ‘auto’, ‘fd’, ‘doane’, ‘scott’, ‘rice’, ‘sturges’, ‘sqrt’
+Note: ‘auto’ is used to choose optimally between ‘fd’ and ‘sturges’</p></li>
+<li><p>num_quantiles - (Int) Number of quantiles to bin the data.
+Default value is set to 1,000 quantiles.</p></li>
+<li><p>is_enabled - (Boolean) Enables or disables histogram and quantiles</p></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><p><strong>datetime</strong> - Options for the datetime columns</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the datetime operations</p></li>
+</ul>
+</li>
+<li><p><strong>order</strong> - Options for the order columns</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the order operations</p></li>
+</ul>
+</li>
+<li><p><strong>category</strong> - Options for the category columns</p>
+<ul>
+<li><p>is_enabled  - (Boolean) Enables or disables the category operations</p></li>
+<li><p>top_k_categories - (int) Number of categories to be displayed when reporting</p></li>
+<li><p>max_sample_size_to_check_stop_condition - (int) The maximum sample size before categorical stop conditions are checked</p></li>
+<li><p>stop_condition_unique_value_ratio - (float) The highest ratio of unique values to dataset size that is to be considered a categorical type</p></li>
+<li><p>cms - (Boolean) Enables or Disables the use of count min sketch / heavy hitters for approximate frequency counts</p></li>
+<li><p>cms_confidence - (float) Defines the number of hashes used in CMS, default 0.95</p></li>
+<li><p>cms_relative_error - (float) Defines the number of buckets used in CMS, default 0.01</p></li>
+<li><p>cms_max_num_heavy_hitters - (int) The value used to define the threshold for minimum frequency required by a category to be counted</p></li>
+</ul>
+</li>
+<li><p><strong>data_labeler</strong> - Options for the data labeler columns</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the data labeler operations</p></li>
+<li><p>data_labeler_dirpath - (String) Directory path to data labeler</p></li>
+<li><p>data_labeler_object - (BaseDataLabeler) Datalabeler to replace
+the default labeler</p></li>
+<li><p>max_sample_size - (Int) The max number of samples for the data
+labeler</p></li>
+</ul>
+</li>
+<li><p><strong>correlation</strong> - Option set for correlation profiling
+* is_enabled - (Boolean) Enables or disables performing correlation profiling
+* columns - Columns considered to calculate correlation</p></li>
+<li><p><strong>row_statistics</strong> - (Boolean) Option to enable/disable row statistics calculations</p>
+<ul>
+<li><p>unique_count - (UniqueCountOptions) Option to enable/disable unique row count calculations</p>
+<ul>
+<li><p>is_enabled - (Bool) Enables or disables options for unique row count</p></li>
+<li><p>hashing_method - (String) Property to specify row hashing method (“full” | “hll”)</p></li>
+<li><p>hll - (HyperLogLogOptions) Options for alternative method of estimating unique row count (activated when <cite>hll</cite> is the selected hashing_method)</p>
+<ul>
+<li><p>seed - (Int) Used to set HLL hashing function seed</p></li>
+<li><p>register_count - (Int) Number of registers is equal to 2^register_count</p></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><p>null_count - (Boolean) Option to enable/disable functionalities for row_has_null_ratio and row_is_null_ratio</p></li>
+</ul>
+</li>
+<li><p><strong>chi2_homogeneity</strong> - Options for the chi-squared test matrix</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables performing chi-squared tests for homogeneity between the categorical columns of the dataset.</p></li>
+</ul>
+</li>
+<li><p><strong>null_replication_metrics</strong> - Options for calculating null replication metrics</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables calculation of null replication metrics</p></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><p><strong>unstructured_options</strong> - Options responsible for all unstructured data</p>
+<ul class="simple">
+<li><p><strong>text</strong> - Options for the text profile</p>
+<ul>
+<li><p>is_case_sensitive - (Boolean) Specify whether the profile is case sensitive</p></li>
+<li><p>stop_words - (List of Strings) List of stop words to be removed when profiling</p></li>
+<li><p>top_k_chars - (Int) Number of top characters to be retrieved when profiling</p></li>
+<li><p>top_k_words - (Int) Number of top words to be retrieved when profiling</p></li>
+<li><p>vocab - Options for vocab count</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the vocab stats</p></li>
+</ul>
+</li>
+<li><p>words - Options for word count</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the word stats</p></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><p><strong>data_labeler</strong> - Options for the data labeler</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the data labeler operations</p></li>
+<li><p>data_labeler_dirpath - (String) Directory path to data labeler</p></li>
+<li><p>data_labeler_object - (BaseDataLabeler) Datalabeler to replace
+the default labeler</p></li>
+<li><p>max_sample_size - (Int) The max number of samples for the data
+labeler</p></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</section>
+<section id="statistical-dependency-on-order-of-updates">
+<h2>Statistical Dependency on Order of Updates<a class="headerlink" href="#statistical-dependency-on-order-of-updates" title="Permalink to this headline">¶</a></h2>
+<p>Some profile features/statistics are dependent on the order in which the profiler
+is updated with new data.</p>
+<section id="order-profile">
+<h3>Order Profile<a class="headerlink" href="#order-profile" title="Permalink to this headline">¶</a></h3>
+<p>The order profiler utilizes the last value in the previous data batch to ensure
+the subsequent dataset is above/below/equal to that value when predicting
+non-random order.</p>
+<p>For instance, a dataset to be predicted as ascending would require the following
+batch data update to be ascending and its first value <cite>&gt;=</cite> than that of the
+previous batch of data.</p>
+<p>Ex. of ascending:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">batch_1</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]</span>
+<span class="n">batch_2</span> <span class="o">=</span> <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">]</span>
+</pre></div>
+</div>
+<p>Ex. of random:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">batch_1</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]</span>
+<span class="n">batch_2</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">]</span> <span class="c1"># notice how the first value is less than the last value in the previous batch</span>
+</pre></div>
+</div>
+</section>
+</section>
+<section id="reporting-structure">
+<h2>Reporting Structure<a class="headerlink" href="#reporting-structure" title="Permalink to this headline">¶</a></h2>
+<p>For every profile, we can provide a report and customize it with a couple optional parameters:</p>
+<ul class="simple">
+<li><p>output_format (string)</p>
+<ul>
+<li><p>This will allow the user to decide the output format for report.</p>
+<ul>
+<li><p>Options are one of [pretty, compact, serializable, flat]:</p>
+<ul>
+<li><p>Pretty: floats are rounded to four decimal places, and lists are shortened.</p></li>
+<li><p>Compact: Similar to pretty, but removes detailed statistics such as runtimes, label probabilities, index locations of null types, etc.</p></li>
+<li><p>Serializable: Output is json serializable and not prettified</p></li>
+<li><p>Flat: Nested output is returned as a flattened dictionary</p></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+<li><p>num_quantile_groups (int)</p>
+<ul>
+<li><p>You can sample your data as you like! With a minimum of one and a maximum of 1000, you can decide the number of quantile groups!</p></li>
+</ul>
+</li>
+</ul>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"compact"</span><span class="p">})</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"serializable"</span><span class="p">})</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"flat"</span><span class="p">})</span>
+</pre></div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="data_labeling.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Labeler (Sensitive Data)</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="data_readers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data Readers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/profiler.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Profiler</a><ul>
+<li><a class="reference internal" href="#profile-your-data">Profile Your Data</a><ul>
+<li><a class="reference internal" href="#load-a-file">Load a File</a></li>
+<li><a class="reference internal" href="#profile-a-file">Profile a File</a></li>
+<li><a class="reference internal" href="#updating-profiles">Updating Profiles</a></li>
+<li><a class="reference internal" href="#merging-profiles">Merging Profiles</a></li>
+<li><a class="reference internal" href="#profile-differences">Profile Differences</a></li>
+<li><a class="reference internal" href="#saving-and-loading-a-profile">Saving and Loading a Profile</a></li>
+<li><a class="reference internal" href="#structured-vs-unstructured-profiles">Structured vs Unstructured Profiles</a></li>
+<li><a class="reference internal" href="#setting-the-sample-size">Setting the Sample Size</a></li>
+<li><a class="reference internal" href="#profile-a-pandas-dataframe">Profile a Pandas DataFrame</a></li>
+<li><a class="reference internal" href="#specifying-a-filetype-or-delimiter">Specifying a Filetype or Delimiter</a></li>
+<li><a class="reference internal" href="#setting-profiler-seed">Setting Profiler Seed</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#profile-statistic-descriptions">Profile Statistic Descriptions</a><ul>
+<li><a class="reference internal" href="#structured-profile">Structured Profile</a></li>
+<li><a class="reference internal" href="#unstructured-profile">Unstructured Profile</a></li>
+<li><a class="reference internal" href="#graph-profile">Graph Profile</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#profile-options">Profile Options</a></li>
+<li><a class="reference internal" href="#statistical-dependency-on-order-of-updates">Statistical Dependency on Order of Updates</a><ul>
+<li><a class="reference internal" href="#order-profile">Order Profile</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#reporting-structure">Reporting Structure</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/profiler_example.html b/docs/0.10.5/html/profiler_example.html
new file mode 100644
index 000000000..4c9c3e604
--- /dev/null
+++ b/docs/0.10.5/html/profiler_example.html
@@ -0,0 +1,949 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Unstructured Profilers" href="unstructured_profiler_example.html" /><link rel="prev" title="Intro to Data Readers" href="data_reader.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Structured Profilers - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/profiler_example.nblink">View this notebook on GitHub</a></p>
+<section id="Structured-Profilers">
+<h1>Structured Profilers<a class="headerlink" href="#Structured-Profilers" title="Permalink to this headline">¶</a></h1>
+<p><strong>Data profiling</strong> - <em>is the process of examining a dataset and collecting statistical or informational summaries about said dataset.</em></p>
+<p>The Profiler class inside the DataProfiler is designed to generate <em>data profiles</em> via the Profiler class, which ingests either a Data class or a Pandas DataFrame.</p>
+<p>Currently, the Data class supports loading the following file formats:</p>
+<ul class="simple">
+<li><p>Any delimited (CSV, TSV, etc.)</p></li>
+<li><p>JSON object</p></li>
+<li><p>Avro</p></li>
+<li><p>Parquet</p></li>
+<li><p>Text files</p></li>
+<li><p>Pandas Series/Dataframe</p></li>
+</ul>
+<p>Once the data is loaded, the Profiler can calculate statistics and predict the entities (via the Labeler) of every column (csv) or key-value (JSON) store as well as dataset wide information, such as the number of nulls, duplicates, etc.</p>
+<p>This example will look at specifically the structured data types for structured profiling.</p>
+<section id="Reporting">
+<h2>Reporting<a class="headerlink" href="#Reporting" title="Permalink to this headline">¶</a></h2>
+<p>One of the primary purposes of the Profiler are to quickly identify what is in the dataset. This can be useful for analyzing a dataset prior to use or determining which columns could be useful for a given purpose.</p>
+<p>In terms of reporting, there are multiple reporting options:</p>
+<ul class="simple">
+<li><p><strong>Pretty</strong>: Floats are rounded to four decimal places, and lists are shortened.</p></li>
+<li><p><strong>Compact</strong>: Similar to pretty, but removes detailed statistics such as runtimes, label probabilities, index locations of null types, etc.</p></li>
+<li><p><strong>Serializable</strong>: Output is json serializable and not prettified</p></li>
+<li><p><strong>Flat</strong>: Nested Output is returned as a flattened dictionary</p></li>
+</ul>
+<p>The <strong>Pretty</strong> and <strong>Compact</strong> reports are the two most commonly used reports and includes <code class="docutils literal notranslate"><span class="pre">global_stats</span></code> and <code class="docutils literal notranslate"><span class="pre">data_stats</span></code> for the given dataset. <code class="docutils literal notranslate"><span class="pre">global_stats</span></code> contains overall properties of the data such as number of rows/columns, null ratio, duplicate ratio. <code class="docutils literal notranslate"><span class="pre">data_stats</span></code> contains specific properties and statistics for each column file such as min, max, mean, variance, etc.</p>
+<p>For structured profiles, the report looks like this:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>"global_stats": {
+    "samples_used": int,
+    "column_count": int,
+    "row_count": int,
+    "row_has_null_ratio": float,
+    "row_is_null_ratio": float,
+    "unique_row_ratio": float,
+    "duplicate_row_count": int,
+    "file_type": string,
+    "encoding": string,
+},
+"data_stats": [
+    {
+        "column_name": string,
+        "data_type": string,
+        "data_label": string,
+        "categorical": bool,
+        "order": string,
+        "samples": list(str),
+        "statistics": {
+            "sample_size": int,
+            "null_count": int,
+            "null_types": list(string),
+            "null_types_index": {
+                string: list(int)
+            },
+            "data_type_representation": [string, list(string)],
+            "min": [null, float],
+            "max": [null, float],
+            "mean": float,
+            "variance": float,
+            "stddev": float,
+            "histogram": {
+                "bin_counts": list(int),
+                "bin_edges": list(float),
+            },
+            "quantiles": {
+                int: float
+            }
+            "vocab": list(char),
+            "avg_predictions": dict(float),
+            "data_label_representation": dict(float),
+            "categories": list(str),
+            "unique_count": int,
+            "unique_ratio": float,
+            "precision": {
+                'min': int,
+                'max': int,
+                'mean': float,
+                'var': float,
+                'std': float,
+                'sample_size': int,
+                'margin_of_error': float,
+                'confidence_level': float
+            },
+            "times": dict(float),
+            "format": string
+        }
+    }
+]
+</pre></div>
+</div>
+<p>In the example, the <code class="docutils literal notranslate"><span class="pre">compact</span></code> format of the report is used to shorten the full list of the results.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+<span class="kn">import</span> <span class="nn">json</span>
+
+<span class="k">try</span><span class="p">:</span>
+    <span class="n">sys</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="s1">'..'</span><span class="p">)</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">data_path</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data"</span>
+
+<span class="c1"># remove extra tf loggin</span>
+<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
+<span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">logging</span><span class="o">.</span><span class="n">set_verbosity</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">logging</span><span class="o">.</span><span class="n">ERROR</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"csv/aws_honeypot_marx_geo.csv"</span><span class="p">))</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Compact - A high level view, good for quick reviews</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"compact"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<p>It should be noted, in addition to reading the input data from multiple file types, DataProfiler allows the input data as a dataframe. To get more results related to detailed predictions at the entity level from the DataLabeler component or histogram results, the format <code class="docutils literal notranslate"><span class="pre">pretty</span></code> should be used.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># run data profiler and get the report</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="n">my_dataframe</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">([[</span><span class="mi">1</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">],[</span><span class="mi">1</span><span class="p">,</span> <span class="mf">2.2</span><span class="p">],[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">]],</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s2">"col_int"</span><span class="p">,</span> <span class="s2">"col_float"</span><span class="p">])</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">my_dataframe</span><span class="p">)</span>
+
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Profiler-Type">
+<h2>Profiler Type<a class="headerlink" href="#Profiler-Type" title="Permalink to this headline">¶</a></h2>
+<p>The profiler will infer what type of statistics to generate (structured or unstructured) based on the input. However, you can explicitly specify profile type as well. Here is an example of the the profiler explicitly calling the structured profile.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"csv/aws_honeypot_marx_geo.csv"</span><span class="p">))</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">profiler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">)</span>
+
+<span class="c1"># print the report using json to prettify.</span>
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Profiler-options">
+<h2>Profiler options<a class="headerlink" href="#Profiler-options" title="Permalink to this headline">¶</a></h2>
+<p>The DataProfiler has the ability to turn on and off components as needed. This is accomplished via the <code class="docutils literal notranslate"><span class="pre">ProfilerOptions</span></code> class.</p>
+<p>For example, if a user doesn’t require histogram information they may desire to turn off the histogram functionality. Simialrly, if a user is looking for a more accurate labeling, they can increase the samples used to label.</p>
+<p>Below, let’s remove the histogram and increase the number of samples to the labeler component (1,000 samples).</p>
+<p>Full list of options in the Profiler section of the <a class="reference external" href="https://capitalone.github.io/DataProfiler/profile_options.html">DataProfiler documentation</a>.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"csv/diamonds.csv"</span><span class="p">))</span>
+
+<span class="n">profile_options</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">ProfilerOptions</span><span class="p">()</span>
+
+<span class="c1"># Setting multiple options via set</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span> <span class="s2">"histogram.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span> <span class="s2">"int.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">})</span>
+
+<span class="c1"># Set options via directly setting them</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">structured_options</span><span class="o">.</span><span class="n">data_labeler</span><span class="o">.</span><span class="n">max_sample_size</span> <span class="o">=</span> <span class="mi">1000</span>
+
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">profile_options</span><span class="p">)</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"compact"</span><span class="p">})</span>
+
+<span class="c1"># Print the report</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Updating-Profiles">
+<h2>Updating Profiles<a class="headerlink" href="#Updating-Profiles" title="Permalink to this headline">¶</a></h2>
+<p>Beyond just profiling, one of the unique aspects of the DataProfiler is the ability to update the profiles. To update appropriately, the schema (columns / keys) must match appropriately.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Load and profile a CSV file</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"csv/sparse-first-and-last-column-header-and-author.txt"</span><span class="p">))</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Update the profile with new data:</span>
+<span class="n">new_data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"csv/sparse-first-and-last-column-skip-header.txt"</span><span class="p">))</span>
+<span class="c1"># new_data = dp.Data(os.path.join(data_path, "iris-utf-16.csv")) # will error due to schema mismatch</span>
+<span class="n">profile</span><span class="o">.</span><span class="n">update_profile</span><span class="p">(</span><span class="n">new_data</span><span class="p">)</span>
+
+<span class="c1"># Take a peek at the data</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">new_data</span><span class="o">.</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Report the compact version of the profile</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"compact"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Merging-Profiles">
+<h2>Merging Profiles<a class="headerlink" href="#Merging-Profiles" title="Permalink to this headline">¶</a></h2>
+<p>Merging profiles are an alternative method for updating profiles. Particularly, multiple profiles can be generated seperately, then added together with a simple <code class="docutils literal notranslate"><span class="pre">+</span></code> command: <code class="docutils literal notranslate"><span class="pre">profile3</span> <span class="pre">=</span> <span class="pre">profile1</span> <span class="pre">+</span> <span class="pre">profile2</span></code></p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Load a CSV file with a schema</span>
+<span class="n">data1</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"csv/sparse-first-and-last-column-header-and-author.txt"</span><span class="p">))</span>
+<span class="n">profile1</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data1</span><span class="p">)</span>
+
+<span class="c1"># Load another CSV file with the same schema</span>
+<span class="n">data2</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"csv/sparse-first-and-last-column-skip-header.txt"</span><span class="p">))</span>
+<span class="n">profile2</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data2</span><span class="p">)</span>
+
+<span class="c1"># Merge the profiles</span>
+<span class="n">profile3</span> <span class="o">=</span> <span class="n">profile1</span> <span class="o">+</span> <span class="n">profile2</span>
+
+<span class="c1"># Report the compact version of the profile</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile3</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"compact"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<p>As you can see, the <code class="docutils literal notranslate"><span class="pre">update_profile</span></code> function and the <code class="docutils literal notranslate"><span class="pre">+</span></code> operator function similarly. The reason the <code class="docutils literal notranslate"><span class="pre">+</span></code> operator is important is that it’s possible to <em>save and load profiles</em>, which we cover next.</p>
+</section>
+<section id="Differences-in-Data">
+<h2>Differences in Data<a class="headerlink" href="#Differences-in-Data" title="Permalink to this headline">¶</a></h2>
+<p>Can be applied to both structured and unstructured datasets.</p>
+<p>Such reports can provide details on the differences between training and validation data like in this pseudo example:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">profiler_training</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">training_data</span><span class="p">)</span>
+<span class="n">profiler_testing</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">testing_data</span><span class="p">)</span>
+
+<span class="n">validation_report</span> <span class="o">=</span> <span class="n">profiler_training</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">profiler_testing</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">from</span> <span class="nn">pprint</span> <span class="kn">import</span> <span class="n">pprint</span>
+
+<span class="c1"># structured differences example</span>
+<span class="n">data_split_differences</span> <span class="o">=</span> <span class="n">profile1</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">profile2</span><span class="p">)</span>
+<span class="n">pprint</span><span class="p">(</span><span class="n">data_split_differences</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Graphing-a-Profile">
+<h2>Graphing a Profile<a class="headerlink" href="#Graphing-a-Profile" title="Permalink to this headline">¶</a></h2>
+<p>We’ve also added the ability to generating visual reports from a profile.</p>
+<p>The following plots are currently available to work directly with your profilers:</p>
+<ul class="simple">
+<li><p>missing values matrix</p></li>
+<li><p>histogram (numeric columns only)</p></li>
+</ul>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+
+
+<span class="c1"># get the data</span>
+<span class="n">data_folder</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data"</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_folder</span><span class="p">,</span> <span class="s2">"csv/aws_honeypot_marx_geo.csv"</span><span class="p">))</span>
+
+<span class="c1"># profile the data</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># generate a missing values matrix</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">6</span><span class="p">),</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">graphs</span><span class="o">.</span><span class="n">plot_missing_values_matrix</span><span class="p">(</span><span class="n">profile</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">fig</span><span class="o">.</span><span class="n">gca</span><span class="p">(),</span> <span class="n">title</span><span class="o">=</span><span class="s2">"Missing Values Matrix"</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># generate histogram of all int/float columns</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">graphs</span><span class="o">.</span><span class="n">plot_histograms</span><span class="p">(</span><span class="n">profile</span><span class="p">)</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">set_size_inches</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">6</span><span class="p">)</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">set_dpi</span><span class="p">(</span><span class="mi">100</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Saving-and-Loading-a-Profile">
+<h2>Saving and Loading a Profile<a class="headerlink" href="#Saving-and-Loading-a-Profile" title="Permalink to this headline">¶</a></h2>
+<p>Not only can the Profiler create and update profiles, it’s also possible to save, load then manipulate profiles.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Load data</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"csv/names-col.txt"</span><span class="p">))</span>
+
+<span class="c1"># Generate a profile</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Save a profile to disk for later (saves as pickle file)</span>
+<span class="n">profile</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s2">"my_profile.pkl"</span><span class="p">)</span>
+
+<span class="c1"># Load a profile from disk</span>
+<span class="n">loaded_profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s2">"my_profile.pkl"</span><span class="p">)</span>
+
+<span class="c1"># Report the compact version of the profile</span>
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"compact"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<p>With the ability to save and load profiles, profiles can be generated via multiple machines then merged. Further, profiles can be stored and later used in applications such as change point detection, synthetic data generation, and more.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Load a multiple files via the Data class</span>
+<span class="n">filenames</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"csv/sparse-first-and-last-column-header-and-author.txt"</span><span class="p">,</span>
+             <span class="s2">"csv/sparse-first-and-last-column-skip-header.txt"</span><span class="p">]</span>
+<span class="n">data_objects</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">filename</span> <span class="ow">in</span> <span class="n">filenames</span><span class="p">:</span>
+    <span class="n">data_objects</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="n">filename</span><span class="p">)))</span>
+
+
+<span class="c1"># Generate and save profiles</span>
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">data_objects</span><span class="p">)):</span>
+    <span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data_objects</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
+    <span class="n">profile</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s2">"data-"</span><span class="o">+</span><span class="nb">str</span><span class="p">(</span><span class="n">i</span><span class="p">)</span><span class="o">+</span><span class="s2">".pkl"</span><span class="p">)</span>
+
+
+<span class="c1"># Load profiles and add them together</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="kc">None</span>
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">data_objects</span><span class="p">)):</span>
+    <span class="k">if</span> <span class="n">profile</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s2">"data-"</span><span class="o">+</span><span class="nb">str</span><span class="p">(</span><span class="n">i</span><span class="p">)</span><span class="o">+</span><span class="s2">".pkl"</span><span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">profile</span> <span class="o">+=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s2">"data-"</span><span class="o">+</span><span class="nb">str</span><span class="p">(</span><span class="n">i</span><span class="p">)</span><span class="o">+</span><span class="s2">".pkl"</span><span class="p">)</span>
+
+
+<span class="c1"># Report the compact version of the profile</span>
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"compact"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="unstructured_profiler_example.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Unstructured Profilers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="data_reader.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Intro to Data Readers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/profiler_example.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Structured Profilers</a><ul>
+<li><a class="reference internal" href="#Reporting">Reporting</a></li>
+<li><a class="reference internal" href="#Profiler-Type">Profiler Type</a></li>
+<li><a class="reference internal" href="#Profiler-options">Profiler options</a></li>
+<li><a class="reference internal" href="#Updating-Profiles">Updating Profiles</a></li>
+<li><a class="reference internal" href="#Merging-Profiles">Merging Profiles</a></li>
+<li><a class="reference internal" href="#Differences-in-Data">Differences in Data</a></li>
+<li><a class="reference internal" href="#Graphing-a-Profile">Graphing a Profile</a></li>
+<li><a class="reference internal" href="#Saving-and-Loading-a-Profile">Saving and Loading a Profile</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/profiler_example.ipynb b/docs/0.10.5/html/profiler_example.ipynb
new file mode 100644
index 000000000..b6a4409c9
--- /dev/null
+++ b/docs/0.10.5/html/profiler_example.ipynb
@@ -0,0 +1,577 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f37ca393",
+   "metadata": {},
+   "source": [
+    "# Structured Profilers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff9bd095",
+   "metadata": {},
+   "source": [
+    "**Data profiling** - *is the process of examining a dataset and collecting statistical or informational summaries about said dataset.*\n",
+    "\n",
+    "The Profiler class inside the DataProfiler is designed to generate *data profiles* via the Profiler class, which ingests either a Data class or a Pandas DataFrame. \n",
+    "\n",
+    "Currently, the Data class supports loading the following file formats:\n",
+    "\n",
+    "* Any delimited  (CSV, TSV, etc.)\n",
+    "* JSON object\n",
+    "* Avro\n",
+    "* Parquet\n",
+    "* Text files\n",
+    "* Pandas Series/Dataframe\n",
+    "\n",
+    "Once the data is loaded, the Profiler can calculate statistics and predict the entities (via the Labeler) of every column (csv) or key-value (JSON) store as well as dataset wide information, such as the number of nulls, duplicates, etc.\n",
+    "\n",
+    "This example will look at specifically the structured data types for structured profiling. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de58b9c4",
+   "metadata": {},
+   "source": [
+    "## Reporting"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8001185a",
+   "metadata": {},
+   "source": [
+    "One of the primary purposes of the Profiler are to quickly identify what is in the dataset. This can be useful for analyzing a dataset prior to use or determining which columns could be useful for a given purpose.\n",
+    "\n",
+    "In terms of reporting, there are multiple reporting options:\n",
+    "\n",
+    "* **Pretty**: Floats are rounded to four decimal places, and lists are shortened.\n",
+    "* **Compact**: Similar to pretty, but removes detailed statistics such as runtimes, label probabilities, index locations of null types, etc.\n",
+    "* **Serializable**: Output is json serializable and not prettified\n",
+    "* **Flat**: Nested Output is returned as a flattened dictionary\n",
+    "\n",
+    "The **Pretty** and **Compact** reports are the two most commonly used reports and includes `global_stats` and `data_stats` for the given dataset. `global_stats` contains overall properties of the data such as number of rows/columns, null ratio, duplicate ratio. `data_stats` contains specific properties and statistics for each column file such as min, max, mean, variance, etc.\n",
+    "\n",
+    "For structured profiles, the report looks like this:\n",
+    "\n",
+    "```\n",
+    "\"global_stats\": {\n",
+    "    \"samples_used\": int,\n",
+    "    \"column_count\": int,\n",
+    "    \"row_count\": int,\n",
+    "    \"row_has_null_ratio\": float,\n",
+    "    \"row_is_null_ratio\": float,    \n",
+    "    \"unique_row_ratio\": float,\n",
+    "    \"duplicate_row_count\": int,\n",
+    "    \"file_type\": string,\n",
+    "    \"encoding\": string,\n",
+    "},\n",
+    "\"data_stats\": [\n",
+    "    {\n",
+    "        \"column_name\": string,\n",
+    "        \"data_type\": string,\n",
+    "        \"data_label\": string,\n",
+    "        \"categorical\": bool,\n",
+    "        \"order\": string,\n",
+    "        \"samples\": list(str),\n",
+    "        \"statistics\": {\n",
+    "            \"sample_size\": int,\n",
+    "            \"null_count\": int,\n",
+    "            \"null_types\": list(string),\n",
+    "            \"null_types_index\": {\n",
+    "                string: list(int)\n",
+    "            },\n",
+    "            \"data_type_representation\": [string, list(string)],\n",
+    "            \"min\": [null, float],\n",
+    "            \"max\": [null, float],\n",
+    "            \"mean\": float,\n",
+    "            \"variance\": float,\n",
+    "            \"stddev\": float,\n",
+    "            \"histogram\": { \n",
+    "                \"bin_counts\": list(int),\n",
+    "                \"bin_edges\": list(float),\n",
+    "            },\n",
+    "            \"quantiles\": {\n",
+    "                int: float\n",
+    "            }\n",
+    "            \"vocab\": list(char),\n",
+    "            \"avg_predictions\": dict(float), \n",
+    "            \"data_label_representation\": dict(float),\n",
+    "            \"categories\": list(str),\n",
+    "            \"unique_count\": int,\n",
+    "            \"unique_ratio\": float,\n",
+    "            \"precision\": {\n",
+    "                'min': int,\n",
+    "                'max': int,\n",
+    "                'mean': float,\n",
+    "                'var': float,\n",
+    "                'std': float,\n",
+    "                'sample_size': int,\n",
+    "                'margin_of_error': float,\n",
+    "                'confidence_level': float\t\t\n",
+    "            },\n",
+    "            \"times\": dict(float),\n",
+    "            \"format\": string\n",
+    "        }\n",
+    "    }\n",
+    "]\n",
+    "```\n",
+    "\n",
+    "In the example, the `compact` format of the report is used to shorten the full list of the results. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5fcb5447",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\"\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "import tensorflow as tf\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a7fc2df6",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Compact - A high level view, good for quick reviews\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d7ec39d2",
+   "metadata": {},
+   "source": [
+    "It should be noted, in addition to reading the input data from multiple file types, DataProfiler allows the input data as a dataframe. To get more results related to detailed predictions at the entity level from the DataLabeler component or histogram results, the format `pretty` should be used. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "29737f25",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# run data profiler and get the report\n",
+    "import pandas as pd\n",
+    "my_dataframe = pd.DataFrame([[1, 2.0],[1, 2.2],[-1, 3]], columns=[\"col_int\", \"col_float\"])\n",
+    "profile = dp.Profiler(my_dataframe)\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "241f6e3e",
+   "metadata": {},
+   "source": [
+    "## Profiler Type"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5b20879b",
+   "metadata": {},
+   "source": [
+    "The profiler will infer what type of statistics to generate (structured or unstructured) based on the input. However, you can explicitly specify profile type as well. Here is an example of the the profiler explicitly calling the structured profile."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dc44eb47",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "profile = dp.Profiler(data, profiler_type='structured')\n",
+    "\n",
+    "# print the report using json to prettify.\n",
+    "report = profile.report(report_options={\"output_format\": \"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fe02ad64",
+   "metadata": {},
+   "source": [
+    "## Profiler options"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "40804cc9",
+   "metadata": {},
+   "source": [
+    "The DataProfiler has the ability to turn on and off components as needed. This is accomplished via the `ProfilerOptions` class.\n",
+    "\n",
+    "For example, if a user doesn't require histogram information they may desire to turn off the histogram functionality. Simialrly, if a user is looking for a more accurate labeling, they can increase the samples used to label.\n",
+    "\n",
+    "Below, let's remove the histogram and increase the number of samples to the labeler component (1,000 samples). \n",
+    "\n",
+    "Full list of options in the Profiler section of the [DataProfiler documentation](https://capitalone.github.io/DataProfiler/profile_options.html)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d25d899",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/diamonds.csv\"))\n",
+    "\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "\n",
+    "# Setting multiple options via set\n",
+    "profile_options.set({ \"histogram.is_enabled\": False, \"int.is_enabled\": False})\n",
+    "\n",
+    "# Set options via directly setting them\n",
+    "profile_options.structured_options.data_labeler.max_sample_size = 1000\n",
+    "\n",
+    "profile = dp.Profiler(data, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2052415a",
+   "metadata": {},
+   "source": [
+    "## Updating Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e02f746",
+   "metadata": {},
+   "source": [
+    "Beyond just profiling, one of the unique aspects of the DataProfiler is the ability to update the profiles. To update appropriately, the schema (columns / keys) must match appropriately."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7ab8022f",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Load and profile a CSV file\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-header-and-author.txt\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Update the profile with new data:\n",
+    "new_data = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-skip-header.txt\"))\n",
+    "# new_data = dp.Data(os.path.join(data_path, \"iris-utf-16.csv\")) # will error due to schema mismatch\n",
+    "profile.update_profile(new_data)\n",
+    "\n",
+    "# Take a peek at the data\n",
+    "print(data.data)\n",
+    "print(new_data.data)\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "66ec6dc5",
+   "metadata": {},
+   "source": [
+    "## Merging Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2265fe9",
+   "metadata": {},
+   "source": [
+    "Merging profiles are an alternative method for updating profiles. Particularly, multiple profiles can be generated seperately, then added together with a simple `+` command: `profile3 = profile1 + profile2`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cc68ca07",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Load a CSV file with a schema\n",
+    "data1 = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-header-and-author.txt\"))\n",
+    "profile1 = dp.Profiler(data1)\n",
+    "\n",
+    "# Load another CSV file with the same schema\n",
+    "data2 = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-skip-header.txt\"))\n",
+    "profile2 = dp.Profiler(data2)\n",
+    "\n",
+    "# Merge the profiles\n",
+    "profile3 = profile1 + profile2\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile3.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ea07dc6",
+   "metadata": {},
+   "source": [
+    "As you can see, the `update_profile` function and the `+` operator function similarly. The reason the `+` operator is important is that it's possible to *save and load profiles*, which we cover next."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "375ff25c-b189-436a-b07d-5e7f13cc6e03",
+   "metadata": {},
+   "source": [
+    "## Differences in Data\n",
+    "Can be applied to both structured and unstructured datasets. \n",
+    "\n",
+    "Such reports can provide details on the differences between training and validation data like in this pseudo example:\n",
+    "```python\n",
+    "profiler_training = dp.Profiler(training_data)\n",
+    "profiler_testing = dp.Profiler(testing_data)\n",
+    "\n",
+    "validation_report = profiler_training.diff(profiler_testing)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "65360a03-e3ff-4f3c-9963-412298fdb284",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from pprint import pprint\n",
+    "\n",
+    "# structured differences example\n",
+    "data_split_differences = profile1.diff(profile2)\n",
+    "pprint(data_split_differences)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ae471ff-852f-400a-9bee-5c9fef96f10a",
+   "metadata": {},
+   "source": [
+    "## Graphing a Profile\n",
+    "\n",
+    "We've also added the ability to generating visual reports from a profile.\n",
+    "\n",
+    "The following plots are currently available to work directly with your profilers:\n",
+    "\n",
+    "  * missing values matrix\n",
+    "  * histogram (numeric columns only)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "734b588d-ac9a-409c-8eb5-b1a0aede8c63",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "\n",
+    "# get the data\n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "data = dp.Data(os.path.join(data_folder, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "\n",
+    "# profile the data\n",
+    "profile = dp.Profiler(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e4e70204-fa30-43c2-9556-e84c19f82d32",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# generate a missing values matrix\n",
+    "fig = plt.figure(figsize=(8, 6), dpi=100)\n",
+    "fig = dp.graphs.plot_missing_values_matrix(profile, ax=fig.gca(), title=\"Missing Values Matrix\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d734d355-e542-4245-a1e9-66521e333c2d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# generate histogram of all int/float columns\n",
+    "fig = dp.graphs.plot_histograms(profile)\n",
+    "fig.set_size_inches(8, 6)\n",
+    "fig.set_dpi(100)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "30868000",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Profile"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2858072",
+   "metadata": {},
+   "source": [
+    "Not only can the Profiler create and update profiles, it's also possible to save, load then manipulate profiles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2ad9ca57",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load data\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/names-col.txt\"))\n",
+    "\n",
+    "# Generate a profile\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Save a profile to disk for later (saves as pickle file)\n",
+    "profile.save(filepath=\"my_profile.pkl\")\n",
+    "\n",
+    "# Load a profile from disk\n",
+    "loaded_profile = dp.Profiler.load(\"my_profile.pkl\")\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f9859c2",
+   "metadata": {},
+   "source": [
+    "With the ability to save and load profiles, profiles can be generated via multiple machines then merged. Further, profiles can be stored and later used in applications such as change point detection, synthetic data generation, and more. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3571f2d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load a multiple files via the Data class\n",
+    "filenames = [\"csv/sparse-first-and-last-column-header-and-author.txt\",\n",
+    "             \"csv/sparse-first-and-last-column-skip-header.txt\"]\n",
+    "data_objects = []\n",
+    "for filename in filenames:\n",
+    "    data_objects.append(dp.Data(os.path.join(data_path, filename)))\n",
+    "\n",
+    "\n",
+    "# Generate and save profiles\n",
+    "for i in range(len(data_objects)):\n",
+    "    profile = dp.Profiler(data_objects[i])\n",
+    "    profile.save(filepath=\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Load profiles and add them together\n",
+    "profile = None\n",
+    "for i in range(len(data_objects)):\n",
+    "    if profile is None:\n",
+    "        profile = dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "    else:\n",
+    "        profile += dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4690068a-8fc3-4bd5-8649-63d0f34fa91d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/html/py-modindex.html b/docs/0.10.5/html/py-modindex.html
new file mode 100644
index 000000000..bbb7198d7
--- /dev/null
+++ b/docs/0.10.5/html/py-modindex.html
@@ -0,0 +1,605 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/><title>Python Module Index - Data Profiler v0.10.5</title>
+<link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<section class="domainindex-section">
+  <h1>Python Module Index</h1>
+  <div class="domainindex-jumpbox"><a href="#cap-d"><strong>d</strong></a></div>
+</section>
+<table class="domainindex-table">
+  <tr class="pcap">
+    <td></td><td>&#160;</td><td></td>
+  </tr>
+  <tr class="cap" id="cap-d">
+    <td></td><td><strong>d</strong></td><td></td>
+  </tr>
+  <tr>
+    <td><img src="_static/minus.png" class="toggler"
+              id="toggle-1" style="display: none" alt="-" /></td>
+    <td>
+        <a href="dataprofiler.html#module-dataprofiler"><code class="xref">dataprofiler</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.html#module-dataprofiler.data_readers"><code class="xref">dataprofiler.data_readers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.avro_data.html#module-dataprofiler.data_readers.avro_data"><code class="xref">dataprofiler.data_readers.avro_data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.base_data.html#module-dataprofiler.data_readers.base_data"><code class="xref">dataprofiler.data_readers.base_data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.csv_data.html#module-dataprofiler.data_readers.csv_data"><code class="xref">dataprofiler.data_readers.csv_data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.data.html#module-dataprofiler.data_readers.data"><code class="xref">dataprofiler.data_readers.data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.data_utils.html#module-dataprofiler.data_readers.data_utils"><code class="xref">dataprofiler.data_readers.data_utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.filepath_or_buffer.html#module-dataprofiler.data_readers.filepath_or_buffer"><code class="xref">dataprofiler.data_readers.filepath_or_buffer</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.graph_data.html#module-dataprofiler.data_readers.graph_data"><code class="xref">dataprofiler.data_readers.graph_data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.json_data.html#module-dataprofiler.data_readers.json_data"><code class="xref">dataprofiler.data_readers.json_data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.parquet_data.html#module-dataprofiler.data_readers.parquet_data"><code class="xref">dataprofiler.data_readers.parquet_data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.structured_mixins.html#module-dataprofiler.data_readers.structured_mixins"><code class="xref">dataprofiler.data_readers.structured_mixins</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.text_data.html#module-dataprofiler.data_readers.text_data"><code class="xref">dataprofiler.data_readers.text_data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.dp_logging.html#module-dataprofiler.dp_logging"><code class="xref">dataprofiler.dp_logging</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.html#module-dataprofiler.labelers"><code class="xref">dataprofiler.labelers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.base_data_labeler.html#module-dataprofiler.labelers.base_data_labeler"><code class="xref">dataprofiler.labelers.base_data_labeler</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.base_model.html#module-dataprofiler.labelers.base_model"><code class="xref">dataprofiler.labelers.base_model</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.char_load_tf_model.html#module-dataprofiler.labelers.char_load_tf_model"><code class="xref">dataprofiler.labelers.char_load_tf_model</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.character_level_cnn_model.html#module-dataprofiler.labelers.character_level_cnn_model"><code class="xref">dataprofiler.labelers.character_level_cnn_model</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.classification_report_utils.html#module-dataprofiler.labelers.classification_report_utils"><code class="xref">dataprofiler.labelers.classification_report_utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.column_name_model.html#module-dataprofiler.labelers.column_name_model"><code class="xref">dataprofiler.labelers.column_name_model</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.data_labelers.html#module-dataprofiler.labelers.data_labelers"><code class="xref">dataprofiler.labelers.data_labelers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.data_processing.html#module-dataprofiler.labelers.data_processing"><code class="xref">dataprofiler.labelers.data_processing</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.labeler_utils.html#module-dataprofiler.labelers.labeler_utils"><code class="xref">dataprofiler.labelers.labeler_utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.regex_model.html#module-dataprofiler.labelers.regex_model"><code class="xref">dataprofiler.labelers.regex_model</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.utils.html#module-dataprofiler.labelers.utils"><code class="xref">dataprofiler.labelers.utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.html#module-dataprofiler.profilers"><code class="xref">dataprofiler.profilers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.base_column_profilers.html#module-dataprofiler.profilers.base_column_profilers"><code class="xref">dataprofiler.profilers.base_column_profilers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.categorical_column_profile.html#module-dataprofiler.profilers.categorical_column_profile"><code class="xref">dataprofiler.profilers.categorical_column_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.column_profile_compilers.html#module-dataprofiler.profilers.column_profile_compilers"><code class="xref">dataprofiler.profilers.column_profile_compilers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.data_labeler_column_profile.html#module-dataprofiler.profilers.data_labeler_column_profile"><code class="xref">dataprofiler.profilers.data_labeler_column_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.datetime_column_profile.html#module-dataprofiler.profilers.datetime_column_profile"><code class="xref">dataprofiler.profilers.datetime_column_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.float_column_profile.html#module-dataprofiler.profilers.float_column_profile"><code class="xref">dataprofiler.profilers.float_column_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.graph_profiler.html#module-dataprofiler.profilers.graph_profiler"><code class="xref">dataprofiler.profilers.graph_profiler</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.helpers.html#module-dataprofiler.profilers.helpers"><code class="xref">dataprofiler.profilers.helpers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.helpers.report_helpers.html#module-dataprofiler.profilers.helpers.report_helpers"><code class="xref">dataprofiler.profilers.helpers.report_helpers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.histogram_utils.html#module-dataprofiler.profilers.histogram_utils"><code class="xref">dataprofiler.profilers.histogram_utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.int_column_profile.html#module-dataprofiler.profilers.int_column_profile"><code class="xref">dataprofiler.profilers.int_column_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.json_decoder.html#module-dataprofiler.profilers.json_decoder"><code class="xref">dataprofiler.profilers.json_decoder</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.json_encoder.html#module-dataprofiler.profilers.json_encoder"><code class="xref">dataprofiler.profilers.json_encoder</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.numerical_column_stats.html#module-dataprofiler.profilers.numerical_column_stats"><code class="xref">dataprofiler.profilers.numerical_column_stats</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.order_column_profile.html#module-dataprofiler.profilers.order_column_profile"><code class="xref">dataprofiler.profilers.order_column_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.profile_builder.html#module-dataprofiler.profilers.profile_builder"><code class="xref">dataprofiler.profilers.profile_builder</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.profiler_options.html#module-dataprofiler.profilers.profiler_options"><code class="xref">dataprofiler.profilers.profiler_options</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.profiler_utils.html#module-dataprofiler.profilers.profiler_utils"><code class="xref">dataprofiler.profilers.profiler_utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.text_column_profile.html#module-dataprofiler.profilers.text_column_profile"><code class="xref">dataprofiler.profilers.text_column_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.unstructured_labeler_profile.html#module-dataprofiler.profilers.unstructured_labeler_profile"><code class="xref">dataprofiler.profilers.unstructured_labeler_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.unstructured_text_profile.html#module-dataprofiler.profilers.unstructured_text_profile"><code class="xref">dataprofiler.profilers.unstructured_text_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.reports.html#module-dataprofiler.reports"><code class="xref">dataprofiler.reports</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.reports.graphs.html#module-dataprofiler.reports.graphs"><code class="xref">dataprofiler.reports.graphs</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.reports.utils.html#module-dataprofiler.reports.utils"><code class="xref">dataprofiler.reports.utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.rng_utils.html#module-dataprofiler.rng_utils"><code class="xref">dataprofiler.rng_utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.settings.html#module-dataprofiler.settings"><code class="xref">dataprofiler.settings</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.validators.html#module-dataprofiler.validators"><code class="xref">dataprofiler.validators</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.validators.base_validators.html#module-dataprofiler.validators.base_validators"><code class="xref">dataprofiler.validators.base_validators</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.version.html#module-dataprofiler.version"><code class="xref">dataprofiler.version</code></a></td><td>
+    <em></em></td>
+  </tr>
+</table>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/regex_labeler_from_scratch.html b/docs/0.10.5/html/regex_labeler_from_scratch.html
new file mode 100644
index 000000000..b49edeadf
--- /dev/null
+++ b/docs/0.10.5/html/regex_labeler_from_scratch.html
@@ -0,0 +1,858 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="ColumnName Labeler Tutorial" href="column_name_labeler_example.html" /><link rel="prev" title="Adding new model to the existing DataLabeler pipeline" href="add_new_model_to_data_labeler.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Building a Regex Data Labeler w/ your own Regex - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/regex_labeler_from_scratch.nblink">View this notebook on GitHub</a></p>
+<section id="Building-a-Regex-Data-Labeler-w/-your-own-Regex">
+<h1>Building a Regex Data Labeler w/ your own Regex<a class="headerlink" href="#Building-a-Regex-Data-Labeler-w/-your-own-Regex" title="Permalink to this headline">¶</a></h1>
+<p>This notebook teaches how to use the existing / create your own regex labeler as well as utilize it for structured data profiling.</p>
+<ol class="arabic simple">
+<li><p>Loading and utilizing the pre-existing regex data labeler</p></li>
+<li><p>Replacing the existing regex rules with your own.</p></li>
+<li><p>Utilizng a regex data labeler inside of the structured profiler</p></li>
+</ol>
+<p>First, let’s import the libraries needed for this example.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">pprint</span> <span class="kn">import</span> <span class="n">pprint</span>
+
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+
+<span class="k">try</span><span class="p">:</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
+    <span class="n">sys</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="s1">'../..'</span><span class="p">)</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+</pre></div>
+</div>
+</div>
+<section id="Loading-and-using-the-pre-existing-regex-data-labeler">
+<h2>Loading and using the pre-existing regex data labeler<a class="headerlink" href="#Loading-and-using-the-pre-existing-regex-data-labeler" title="Permalink to this headline">¶</a></h2>
+<p>We can easily import the exsting regex labeler via the <code class="docutils literal notranslate"><span class="pre">load_from_library</span></code> command from the <code class="docutils literal notranslate"><span class="pre">dp.DataLabeler</span></code>. This allows us to import models other than the default structured / unstructured labelers which exist in the library.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="o">.</span><span class="n">load_from_library</span><span class="p">(</span><span class="s1">'regex_model'</span><span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">help</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">pprint</span><span class="p">(</span><span class="n">data_labeler</span><span class="o">.</span><span class="n">label_mapping</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">pprint</span><span class="p">(</span><span class="n">data_labeler</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">_parameters</span><span class="p">[</span><span class="s1">'regex_patterns'</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+<section id="Predicting-with-the-regex-labeler">
+<h3>Predicting with the regex labeler<a class="headerlink" href="#Predicting-with-the-regex-labeler" title="Permalink to this headline">¶</a></h3>
+<p>In the prediction below, the default settings will <code class="docutils literal notranslate"><span class="pre">split</span></code> the predictions by default as it’s aggregation function. In other words, if a string ‘123 Fake St.’ The first character would receive a vote for integer and for address giving both a 50% probability. This is because these regex functions are defined individually and a post prediction aggregation function must be used to get the results.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># evaluate a prediction using the default parameters</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">([</span><span class="s1">'123 Fake St.'</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+<section id="Replacing-the-regex-rules-in-the-existing-labeler">
+<h2>Replacing the regex rules in the existing labeler<a class="headerlink" href="#Replacing-the-regex-rules-in-the-existing-labeler" title="Permalink to this headline">¶</a></h2>
+<p>We can achieve this by: 1. Setting the label mapping to the new labels 2. Setting the model parameters which include: <code class="docutils literal notranslate"><span class="pre">regex_patterns</span></code>, <code class="docutils literal notranslate"><span class="pre">default_label</span></code>, <code class="docutils literal notranslate"><span class="pre">ignore_case</span></code>, and <code class="docutils literal notranslate"><span class="pre">encapsulators</span></code></p>
+<p>where <code class="docutils literal notranslate"><span class="pre">regex_patterns</span></code> is a <code class="docutils literal notranslate"><span class="pre">dict</span></code> of lists or regex for each label, <code class="docutils literal notranslate"><span class="pre">default_label</span></code> is the expected default label for the regex, <code class="docutils literal notranslate"><span class="pre">ignore_case</span></code> tells the model to ignore case during its detection, and <code class="docutils literal notranslate"><span class="pre">encapsulators</span></code> are generic regex statements placed before (start) and after (end) each regex. Currently, this is used by the default model to capture labels that are within a cell rather than matching the entire cell. (e.g. ’ 123 ’ will still capture 123 as digits).</p>
+<p>Below, we created 4 labels where <code class="docutils literal notranslate"><span class="pre">other</span></code> is the <code class="docutils literal notranslate"><span class="pre">default_label</span></code>. Additionally, we set enabled case sensitivity such that upper and lower case letters would be detected separately.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data_labeler</span><span class="o">.</span><span class="n">set_labels</span><span class="p">({</span><span class="s1">'other'</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="s1">'digits'</span><span class="p">:</span><span class="mi">1</span><span class="p">,</span> <span class="s1">'lowercase_char'</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">'uppercase_chars'</span><span class="p">:</span> <span class="mi">3</span><span class="p">})</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span>
+    <span class="n">regex_patterns</span><span class="o">=</span><span class="p">{</span>
+        <span class="s1">'digits'</span><span class="p">:</span> <span class="p">[</span><span class="sa">r</span><span class="s1">'[+-]?[0-9]+'</span><span class="p">],</span>
+        <span class="s1">'lowercase_char'</span><span class="p">:</span> <span class="p">[</span><span class="sa">r</span><span class="s1">'[a-z]+'</span><span class="p">],</span>
+        <span class="s1">'uppercase_chars'</span><span class="p">:</span> <span class="p">[</span><span class="sa">r</span><span class="s1">'[A-Z]+'</span><span class="p">],</span>
+    <span class="p">},</span>
+    <span class="n">default_label</span><span class="o">=</span><span class="s1">'other'</span><span class="p">,</span>
+    <span class="n">ignore_case</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">label_mapping</span>
+</pre></div>
+</div>
+</div>
+<section id="Predicting-with-the-new-regex-labels">
+<h3>Predicting with the new regex labels<a class="headerlink" href="#Predicting-with-the-new-regex-labels" title="Permalink to this headline">¶</a></h3>
+<p>Here we notice the otuput of the predictions gives us a prediction per character for each regex. Note how by default it is matching subtext due to the encapsulators. Where <code class="docutils literal notranslate"><span class="pre">123</span></code> were found to be digits, <code class="docutils literal notranslate"><span class="pre">FAKE</span></code> was foudn to be upper case, and the whitespaces and <code class="docutils literal notranslate"><span class="pre">St.</span></code> were other due no single regex being correct.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">([</span><span class="s1">'123 FAKE St.'</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+<p>Below we turn off case-sensitivity and we see how the aggregation funciton splits the votes for characters between the <code class="docutils literal notranslate"><span class="pre">lowercase</span></code> and <code class="docutils literal notranslate"><span class="pre">uppercase</span></code> chars.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data_labeler</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span><span class="n">ignore_case</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">([</span><span class="s1">'123 FAKE St.'</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+<p>For the rest of this notebook, we will just use a single regex serach which will capture both upper and lower case chars.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data_labeler</span><span class="o">.</span><span class="n">set_labels</span><span class="p">({</span><span class="s1">'other'</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="s1">'digits'</span><span class="p">:</span><span class="mi">1</span><span class="p">,</span> <span class="s1">'chars'</span><span class="p">:</span> <span class="mi">2</span><span class="p">})</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span>
+    <span class="n">regex_patterns</span><span class="o">=</span><span class="p">{</span>
+        <span class="s1">'digits'</span><span class="p">:</span> <span class="p">[</span><span class="sa">r</span><span class="s1">'[=-]?[0-9]+'</span><span class="p">],</span>
+        <span class="s1">'chars'</span><span class="p">:</span> <span class="p">[</span><span class="sa">r</span><span class="s1">'[a-zA-Z]+'</span><span class="p">],</span>
+    <span class="p">},</span>
+    <span class="n">default_label</span><span class="o">=</span><span class="s1">'other'</span><span class="p">,</span>
+    <span class="n">ignore_case</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">label_mapping</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">([</span><span class="s1">'123 FAKE St.'</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Adjusting-postprocessor-properties">
+<h3>Adjusting postprocessor properties<a class="headerlink" href="#Adjusting-postprocessor-properties" title="Permalink to this headline">¶</a></h3>
+<p>Below we can look at the possible postprocessor parameters to adjust the aggregation function to the desired output. The previous outputs by default used the <code class="docutils literal notranslate"><span class="pre">split</span></code> aggregation function, however, below we will show the <code class="docutils literal notranslate"><span class="pre">random</span></code> aggregation function which will randomly choose a label if multiple labels have a vote for a given character.</p>
+<p>data_labeler.postprocessor.help()</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data_labeler</span><span class="o">.</span><span class="n">postprocessor</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span><span class="n">aggregation_func</span><span class="o">=</span><span class="s1">'random'</span><span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">([</span><span class="s1">'123 FAKE St.'</span><span class="p">],</span> <span class="n">predict_options</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">show_confidences</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+<section id="Integrating-the-new-Regex-labeler-into-Structured-Profiling">
+<h2>Integrating the new Regex labeler into Structured Profiling<a class="headerlink" href="#Integrating-the-new-Regex-labeler-into-Structured-Profiling" title="Permalink to this headline">¶</a></h2>
+<p>While the labeler can be used alone, it is also possible to integrate the labeler into the StructuredProfiler with a slight change to its postprocessor. The StructuredProfiler requires a labeler which outputs othe confidence of each label for a given cell being processed. To convert the output of the <code class="docutils literal notranslate"><span class="pre">RegexPostProcessor</span></code> into said format, we will use the <code class="docutils literal notranslate"><span class="pre">StructRegexPostProcessor</span></code>. We can create the postprocessor and set the <code class="docutils literal notranslate"><span class="pre">data_labeler</span></code>’s postprocessor to this value.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">from</span> <span class="nn">dataprofiler.labelers.data_processing</span> <span class="kn">import</span> <span class="n">StructRegexPostProcessor</span>
+
+<span class="n">postprocesor</span> <span class="o">=</span> <span class="n">StructRegexPostProcessor</span><span class="p">()</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">set_postprocessor</span><span class="p">(</span><span class="n">postprocesor</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<p>Below we will see the output is now one vote per sample.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">([</span><span class="s1">'123 FAKE St.'</span><span class="p">,</span> <span class="s1">'123'</span><span class="p">,</span> <span class="s1">'FAKE'</span><span class="p">],</span> <span class="n">predict_options</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">show_confidences</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<section id="Setting-the-Structuredprofiler’s-DataLabeler">
+<h3>Setting the Structuredprofiler’s DataLabeler<a class="headerlink" href="#Setting-the-Structuredprofiler’s-DataLabeler" title="Permalink to this headline">¶</a></h3>
+<p>We can create a <code class="docutils literal notranslate"><span class="pre">ProfilerOption</span></code> and set the structured options to have the new data_labeler as its value. We then run the StructuredProfiler with the specified options.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># create and set the option for the regex data labeler to be used at profile time</span>
+<span class="n">profile_options</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">ProfilerOptions</span><span class="p">()</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s1">'structured_options.data_labeler.data_labeler_object'</span><span class="p">:</span> <span class="n">data_labeler</span><span class="p">})</span>
+
+<span class="c1"># profile the dataset using the suggested regex data labeler</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
+    <span class="p">[[</span><span class="s1">'123 FAKE St.'</span><span class="p">,</span> <span class="mi">123</span><span class="p">,</span> <span class="s1">'this'</span><span class="p">],</span>
+     <span class="p">[</span><span class="mi">123</span>           <span class="p">,</span>  <span class="o">-</span><span class="mi">9</span><span class="p">,</span> <span class="s1">'IS'</span><span class="p">],</span>
+     <span class="p">[</span><span class="s1">'...'</span>         <span class="p">,</span> <span class="o">+</span><span class="mi">80</span><span class="p">,</span> <span class="s1">'A'</span><span class="p">],</span>
+     <span class="p">[</span><span class="s1">'123'</span>         <span class="p">,</span> <span class="mi">202</span><span class="p">,</span> <span class="s1">'raNDom'</span><span class="p">],</span>
+     <span class="p">[</span><span class="s1">'test'</span>        <span class="p">,</span>  <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="s1">'TEST'</span><span class="p">]],</span>
+    <span class="n">dtype</span><span class="o">=</span><span class="nb">object</span><span class="p">)</span>
+<span class="n">profiler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">profile_options</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<p>Below we see the first column is given 3 labels as it received multiple votes for said column. However, it was confident on the second and third column which is why it only specified <code class="docutils literal notranslate"><span class="pre">digits</span></code> and <code class="docutils literal notranslate"><span class="pre">chars</span></code> respectively.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">pprint</span><span class="p">(</span><span class="n">profiler</span><span class="o">.</span><span class="n">report</span><span class="p">(</span>
+    <span class="nb">dict</span><span class="p">(</span><span class="n">output_format</span><span class="o">=</span><span class="s1">'compact'</span><span class="p">,</span>
+         <span class="n">omit_keys</span><span class="o">=</span><span class="p">[</span><span class="s1">'data_stats.*.statistics'</span><span class="p">,</span>
+                    <span class="s1">'data_stats.*.categorical'</span><span class="p">,</span>
+                    <span class="s1">'data_stats.*.order'</span><span class="p">,</span>
+                    <span class="s1">'global_stats'</span><span class="p">])))</span>
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+<section id="Saving-the-Data-Labeler-for-future-use">
+<h2>Saving the Data Labeler for future use<a class="headerlink" href="#Saving-the-Data-Labeler-for-future-use" title="Permalink to this headline">¶</a></h2>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isdir</span><span class="p">(</span><span class="s1">'my_new_regex_labeler'</span><span class="p">):</span>
+    <span class="n">os</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="s1">'my_new_regex_labeler'</span><span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">save_to_disk</span><span class="p">(</span><span class="s1">'my_new_regex_labeler'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Loading-the-saved-Data-Labeler">
+<h2>Loading the saved Data Labeler<a class="headerlink" href="#Loading-the-saved-Data-Labeler" title="Permalink to this headline">¶</a></h2>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">saved_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="o">.</span><span class="n">load_from_disk</span><span class="p">(</span><span class="s1">'my_new_regex_labeler'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># ensuring the parametesr are what we saved.</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"label_mapping:"</span><span class="p">)</span>
+<span class="n">pprint</span><span class="p">(</span><span class="n">saved_labeler</span><span class="o">.</span><span class="n">label_mapping</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">model parameters:"</span><span class="p">)</span>
+<span class="n">pprint</span><span class="p">(</span><span class="n">saved_labeler</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">_parameters</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"postprocessor: "</span> <span class="o">+</span> <span class="n">saved_labeler</span><span class="o">.</span><span class="n">postprocessor</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># predicting with the loaded labeler.</span>
+<span class="n">saved_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">([</span><span class="s1">'test'</span><span class="p">,</span> <span class="s1">'123'</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="column_name_labeler_example.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">ColumnName Labeler Tutorial</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="add_new_model_to_data_labeler.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Adding new model to the existing DataLabeler pipeline</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/regex_labeler_from_scratch.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Building a Regex Data Labeler w/ your own Regex</a><ul>
+<li><a class="reference internal" href="#Loading-and-using-the-pre-existing-regex-data-labeler">Loading and using the pre-existing regex data labeler</a><ul>
+<li><a class="reference internal" href="#Predicting-with-the-regex-labeler">Predicting with the regex labeler</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#Replacing-the-regex-rules-in-the-existing-labeler">Replacing the regex rules in the existing labeler</a><ul>
+<li><a class="reference internal" href="#Predicting-with-the-new-regex-labels">Predicting with the new regex labels</a></li>
+<li><a class="reference internal" href="#Adjusting-postprocessor-properties">Adjusting postprocessor properties</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#Integrating-the-new-Regex-labeler-into-Structured-Profiling">Integrating the new Regex labeler into Structured Profiling</a><ul>
+<li><a class="reference internal" href="#Setting-the-Structuredprofiler’s-DataLabeler">Setting the Structuredprofiler’s DataLabeler</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#Saving-the-Data-Labeler-for-future-use">Saving the Data Labeler for future use</a></li>
+<li><a class="reference internal" href="#Loading-the-saved-Data-Labeler">Loading the saved Data Labeler</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/regex_labeler_from_scratch.ipynb b/docs/0.10.5/html/regex_labeler_from_scratch.ipynb
new file mode 100644
index 000000000..96aee213a
--- /dev/null
+++ b/docs/0.10.5/html/regex_labeler_from_scratch.ipynb
@@ -0,0 +1,444 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e04c382a-7c49-452b-b9bf-e448951c64fe",
+   "metadata": {},
+   "source": [
+    "# Building a Regex Data Labeler w/ your own Regex"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fb3ecb9-bc51-4c18-93d5-7991bbee5165",
+   "metadata": {},
+   "source": [
+    "This notebook teaches how to use the existing / create your own regex labeler as well as utilize it for structured data profiling.\n",
+    "\n",
+    "1. Loading and utilizing the pre-existing regex data labeler\n",
+    "1. Replacing the existing regex rules with your own.\n",
+    "1. Utilizng a regex data labeler inside of the structured profiler\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a67c197b-d3ee-4896-a96f-cc3d043601d3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "from pprint import pprint\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "try:\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    sys.path.insert(0, '../..')\n",
+    "    import dataprofiler as dp"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c71356f4-9020-4862-a1e1-816effbb5443",
+   "metadata": {},
+   "source": [
+    "## Loading and using the pre-existing regex data labeler\n",
+    "We can easily import the exsting regex labeler via the `load_from_library` command from the `dp.DataLabeler`. This allows us to import models other than the default structured / unstructured labelers which exist in the library."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "113d6655-4bca-4d8e-9e6f-b972e29d5684",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler = dp.DataLabeler.load_from_library('regex_model')\n",
+    "data_labeler.model.help()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0b405887-2b92-44ca-b8d7-29c384f6dd9c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.label_mapping)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11916a48-098c-4056-ac6c-b9542d85fa86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.model._parameters['regex_patterns'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "da0e97ee-8d6d-4631-9b55-78ed904d5f41",
+   "metadata": {},
+   "source": [
+    "### Predicting with the regex labeler\n",
+    "In the prediction below, the default settings will `split` the predictions by default as it's aggregation function. In other words, if a string '123 Fake St.' The first character would receive a vote for integer and for address giving both a 50% probability. This is because these regex functions are defined individually and a post prediction aggregation function must be used to get the results."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fe519e65-36a7-4f42-8314-5369de8635c7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# evaluate a prediction using the default parameters\n",
+    "data_labeler.predict(['123 Fake St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b41d834d-e47b-45a6-8970-d2d2033e2ade",
+   "metadata": {},
+   "source": [
+    "## Replacing the regex rules in the existing labeler\n",
+    "\n",
+    "We can achieve this by:\n",
+    "1. Setting the label mapping to the new labels\n",
+    "2. Setting the model parameters which include: `regex_patterns`, `default_label`, `ignore_case`, and `encapsulators`\n",
+    "\n",
+    "where `regex_patterns` is a `dict` of lists or regex for each label, `default_label` is the expected default label for the regex, `ignore_case` tells the model to ignore case during its detection, and `encapsulators` are generic regex statements placed before (start) and after (end) each regex. Currently, this is used by the default model to capture labels that are within a cell rather than matching the entire cell. (e.g. ' 123 ' will still capture 123 as digits)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c6bb010a-406f-4fd8-abd0-3355a5ad0ded",
+   "metadata": {},
+   "source": [
+    "Below, we created 4 labels where `other` is the `default_label`. Additionally, we set enabled case sensitivity such that upper and lower case letters would be detected separately."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f86584cf-a7af-4bae-bf44-d87caa68833a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.set_labels({'other': 0, 'digits':1, 'lowercase_char': 2, 'uppercase_chars': 3})\n",
+    "data_labeler.model.set_params(\n",
+    "    regex_patterns={\n",
+    "        'digits': [r'[+-]?[0-9]+'],\n",
+    "        'lowercase_char': [r'[a-z]+'],\n",
+    "        'uppercase_chars': [r'[A-Z]+'],\n",
+    "    },\n",
+    "    default_label='other',\n",
+    "    ignore_case=False,\n",
+    ")\n",
+    "data_labeler.label_mapping"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ece1c8c-18a5-46fc-b563-6458e6e71e53",
+   "metadata": {},
+   "source": [
+    "### Predicting with the new regex labels\n",
+    "\n",
+    "Here we notice the otuput of the predictions gives us a prediction per character for each regex. Note how by default it is matching subtext due to the encapsulators. Where `123` were found to be digits, `FAKE` was foudn to be upper case, and the whitespaces and `St.` were other due no single regex being correct."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "92842e14-2ea6-4879-b58c-c52b607dc94c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(['123 FAKE St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ce14e54-094f-41ff-9ce0-69acace6abc2",
+   "metadata": {},
+   "source": [
+    "Below we turn off case-sensitivity and we see how the aggregation funciton splits the votes for characters between the `lowercase` and `uppercase` chars."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f7b8ed9d-c912-4dc7-82c5-ba78a3affc1e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.model.set_params(ignore_case=True)\n",
+    "data_labeler.predict(['123 FAKE St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dc66515f-24e4-40f0-8592-b1ee4fba7077",
+   "metadata": {},
+   "source": [
+    "For the rest of this notebook, we will just use a single regex serach which will capture both upper and lower case chars."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3e0c1b11-d111-4080-873f-40aff7cf7930",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.set_labels({'other': 0, 'digits':1, 'chars': 2})\n",
+    "data_labeler.model.set_params(\n",
+    "    regex_patterns={\n",
+    "        'digits': [r'[=-]?[0-9]+'],\n",
+    "        'chars': [r'[a-zA-Z]+'],\n",
+    "    },\n",
+    "    default_label='other',\n",
+    "    ignore_case=False,\n",
+    ")\n",
+    "data_labeler.label_mapping"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "28e7b2ee-c661-4b31-b727-078f1393b5c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(['123 FAKE St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f60c8fd1-76e1-469f-9e5a-62d7529301b3",
+   "metadata": {},
+   "source": [
+    "### Adjusting postprocessor properties\n",
+    "\n",
+    "Below we can look at the possible postprocessor parameters to adjust the aggregation function to the desired output. The previous outputs by default used the `split` aggregation function, however, below we will show the `random` aggregation function which will randomly choose a label if multiple labels have a vote for a given character."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "36afa82b-1ca5-49ad-9aa9-84c6de621f59",
+   "metadata": {},
+   "source": [
+    "data_labeler.postprocessor.help()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "66840940-47bf-433a-8ee8-977f26926e0b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.postprocessor.set_params(aggregation_func='random')\n",
+    "data_labeler.predict(['123 FAKE St.'], predict_options=dict(show_confidences=True))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c32b74fc-5051-4d53-b02a-4d1e4a35958f",
+   "metadata": {},
+   "source": [
+    "## Integrating the new Regex labeler into Structured Profiling\n",
+    "\n",
+    "While the labeler can be used alone, it is also possible to integrate the labeler into the StructuredProfiler with a slight change to its postprocessor. The StructuredProfiler requires a labeler which outputs othe confidence of each label for a given cell being processed. To convert the output of the `RegexPostProcessor` into said format, we will use the `StructRegexPostProcessor`. We can create the postprocessor and set the `data_labeler`'s postprocessor to this value."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a2663f2d-29a2-41ed-88dd-8a213d303365",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dataprofiler.labelers.data_processing import StructRegexPostProcessor\n",
+    "\n",
+    "postprocesor = StructRegexPostProcessor()\n",
+    "data_labeler.set_postprocessor(postprocesor)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f7352769-d636-42c6-9706-7d9cff520a72",
+   "metadata": {},
+   "source": [
+    "Below we will see the output is now one vote per sample."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "18814634-0fd0-4ce8-b0c3-9b9454701a43",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(['123 FAKE St.', '123', 'FAKE'], predict_options=dict(show_confidences=True))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4aa4e36-7362-4966-b827-3f5a6f2dfa7c",
+   "metadata": {},
+   "source": [
+    "### Setting the Structuredprofiler's DataLabeler\n",
+    "\n",
+    "We can create a `ProfilerOption` and set the structured options to have the new data_labeler as its value. We then run the StructuredProfiler with the specified options."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4f18cf7f-283e-4e54-b3f9-1312828c3029",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create and set the option for the regex data labeler to be used at profile time\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_object': data_labeler})\n",
+    "\n",
+    "# profile the dataset using the suggested regex data labeler\n",
+    "data = pd.DataFrame(\n",
+    "    [['123 FAKE St.', 123, 'this'], \n",
+    "     [123           ,  -9, 'IS'], \n",
+    "     ['...'         , +80, 'A'], \n",
+    "     ['123'         , 202, 'raNDom'], \n",
+    "     ['test'        ,  -1, 'TEST']], \n",
+    "    dtype=object)\n",
+    "profiler = dp.Profiler(data, options=profile_options)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "663e49f7-358b-4b0f-99a4-1823908ef990",
+   "metadata": {},
+   "source": [
+    "Below we see the first column is given 3 labels as it received multiple votes for said column. However, it was confident on the second and third column which is why it only specified `digits` and `chars` respectively."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f796d7f5-7e8a-447b-9cbb-d5b8180660a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(profiler.report(\n",
+    "    dict(output_format='compact', \n",
+    "         omit_keys=['data_stats.*.statistics', \n",
+    "                    'data_stats.*.categorical', \n",
+    "                    'data_stats.*.order', \n",
+    "                    'global_stats'])))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "261b903f-8f4c-403f-839b-ab8813f850e9",
+   "metadata": {},
+   "source": [
+    "## Saving the Data Labeler for future use"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b6ffbaf2-9400-486a-ba83-5fc9ba9334d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not os.path.isdir('my_new_regex_labeler'):\n",
+    "    os.mkdir('my_new_regex_labeler')\n",
+    "data_labeler.save_to_disk('my_new_regex_labeler')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09e40cb6-9d89-41c4-ae28-3dca498f8c68",
+   "metadata": {},
+   "source": [
+    "## Loading the saved Data Labeler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52615b25-70a6-4ebb-8a32-14aaf1e747d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "saved_labeler = dp.DataLabeler.load_from_disk('my_new_regex_labeler')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1ccc0b3-1dc2-4847-95c2-d6b8769b1590",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ensuring the parametesr are what we saved.\n",
+    "print(\"label_mapping:\")\n",
+    "pprint(saved_labeler.label_mapping)\n",
+    "print(\"\\nmodel parameters:\")\n",
+    "pprint(saved_labeler.model._parameters)\n",
+    "print()\n",
+    "print(\"postprocessor: \" + saved_labeler.postprocessor.__class__.__name__)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c827f2ae-4af6-4f3f-9651-9ee9ebea9fa0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predicting with the loaded labeler.\n",
+    "saved_labeler.predict(['test', '123'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "606f9bbf-5955-4b7b-b0d1-390de5600f73",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.5/html/roadmap.html b/docs/0.10.5/html/roadmap.html
new file mode 100644
index 000000000..a1963a365
--- /dev/null
+++ b/docs/0.10.5/html/roadmap.html
@@ -0,0 +1,388 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="prev" title="Base Validators" href="dataprofiler.validators.base_validators.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Roadmap - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul class="current">
+<li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="roadmap">
+<span id="id1"></span><h1>Roadmap<a class="headerlink" href="#roadmap" title="Permalink to this headline">¶</a></h1>
+<p>For more detailed tasks, checkout the repo’s github issues page here:
+<a class="reference external" href="https://github.com/capitalone/DataProfiler/issues">Github Issues</a>.</p>
+<section id="data-reader-updates">
+<h2>Data Reader Updates<a class="headerlink" href="#data-reader-updates" title="Permalink to this headline">¶</a></h2>
+<ul class="simple">
+<li><dl class="simple">
+<dt>Read data from S3 bucket</dt><dd><ul>
+<li><p>All in the current <cite>dp.Data()</cite> API paradigm, we want to enable passing an S3 bucket file path to read in data from AWS s3.</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><p>Pass list of data file paths to data reader</p></li>
+<li><p>Pass in linst of data frames to data reader</p></li>
+</ul>
+</section>
+<section id="new-model">
+<h2>New Model<a class="headerlink" href="#new-model" title="Permalink to this headline">¶</a></h2>
+<ul class="simple">
+<li><p>Transformer model from sensitive data detection</p></li>
+</ul>
+</section>
+<section id="historical-profiles">
+<h2>Historical Profiles<a class="headerlink" href="#historical-profiles" title="Permalink to this headline">¶</a></h2>
+<ul class="simple">
+<li><dl class="simple">
+<dt>Some questions about Historical Profiles / need to step back and rething design to start:</dt><dd><ul>
+<li><p>Meta profile on top?</p></li>
+<li><p>Stored windowed info inside? Etc…</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><p>Branch with current state of Historical Profiles</p></li>
+<li><dl class="simple">
+<dt>Two example notebooks of current state:</dt><dd><ul>
+<li><p>Notebook example <a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/feature/historical_profiler/examples/historical_profiler.ipynb">one</a>.</p></li>
+<li><p>Notebook example <a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/feature/historical_profiler/examples/WIP_historical_profiler_advanced.ipynb">two</a>.</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+</ul>
+</section>
+<section id="conditional-report-metric">
+<h2>Conditional Report Metric<a class="headerlink" href="#conditional-report-metric" title="Permalink to this headline">¶</a></h2>
+<ul class="simple">
+<li><p>Based on what is populated on other metrics in the report, have “secondary” / “derivatives” of that number (or that number in conjunction with another number) populate in thie report as well.</p></li>
+<li><p>For example, if null_count is not None, then populate a null_percent key with a value of the dividence of (null_count / sample_count).</p></li>
+</ul>
+</section>
+<section id="space-time-testing">
+<h2>Space / Time Testing<a class="headerlink" href="#space-time-testing" title="Permalink to this headline">¶</a></h2>
+<ul class="simple">
+<li><dl class="simple">
+<dt>Automatic comparison testing for space and time analysis on PR’s</dt><dd><ul>
+<li><p>Standardize a report for space time analysis for future comparisons (create baseline numbers)</p></li>
+<li><p>Include those in integration tests that will automatically run on code when it is changed in PRs</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><p>Could be an optional test, if the user thinks there is concern around the change driving an issue in the library performance</p></li>
+</ul>
+</section>
+<section id="testing-suite-upgrades">
+<h2>Testing Suite Upgrades<a class="headerlink" href="#testing-suite-upgrades" title="Permalink to this headline">¶</a></h2>
+<ul class="simple">
+<li><p>Add mocking to unit tests where mocking is not utilized</p></li>
+<li><p>Integration testing separated out from the unit testing suite. Determine how to only run remotely during PRs</p></li>
+<li><p>Backward compatibility testing along with informative warnings and errors when a user is utilizing incompatible versions of the library and saved profile object</p></li>
+</ul>
+</section>
+<section id="historical-versions">
+<h2>Historical Versions<a class="headerlink" href="#historical-versions" title="Permalink to this headline">¶</a></h2>
+<ul class="simple">
+<li><p>Legacy version upgrades to enable patches to prior versions of the Data Profiler</p></li>
+</ul>
+</section>
+<section id="miscellaneous">
+<h2>Miscellaneous<a class="headerlink" href="#miscellaneous" title="Permalink to this headline">¶</a></h2>
+<ul class="simple">
+<li><p>Refact/or Pandas to Polars DataFrames</p></li>
+<li><p>Spearman correlation calculation</p></li>
+<li><p>Workflow Profiles</p></li>
+</ul>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          <a class="prev-page" href="dataprofiler.validators.base_validators.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Base Validators</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/roadmap.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Roadmap</a><ul>
+<li><a class="reference internal" href="#data-reader-updates">Data Reader Updates</a></li>
+<li><a class="reference internal" href="#new-model">New Model</a></li>
+<li><a class="reference internal" href="#historical-profiles">Historical Profiles</a></li>
+<li><a class="reference internal" href="#conditional-report-metric">Conditional Report Metric</a></li>
+<li><a class="reference internal" href="#space-time-testing">Space / Time Testing</a></li>
+<li><a class="reference internal" href="#testing-suite-upgrades">Testing Suite Upgrades</a></li>
+<li><a class="reference internal" href="#historical-versions">Historical Versions</a></li>
+<li><a class="reference internal" href="#miscellaneous">Miscellaneous</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/search.html b/docs/0.10.5/html/search.html
new file mode 100644
index 000000000..359141982
--- /dev/null
+++ b/docs/0.10.5/html/search.html
@@ -0,0 +1,267 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="#" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/><title>Search - <div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></title><link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="#">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<div id="fallback" class="admonition error">
+  <p class="admonition-title">Error</p>
+  <p>
+    Please activate JavaScript to enable the search functionality.
+  </p>
+</div>
+<script>document.getElementById('fallback').hidden = true;</script>
+
+<div id="search-results"></div>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    
+<script src="_static/searchtools.js"></script>
+<script src="_static/language_data.js"></script>
+<script src="searchindex.js"></script></body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/searchindex.js b/docs/0.10.5/html/searchindex.js
new file mode 100644
index 000000000..0001769d9
--- /dev/null
+++ b/docs/0.10.5/html/searchindex.js
@@ -0,0 +1 @@
+Search.setIndex({docnames:["API","add_new_model_to_data_labeler","column_name_labeler_example","data_labeling","data_reader","data_readers","dataprofiler","dataprofiler.data_readers","dataprofiler.data_readers.avro_data","dataprofiler.data_readers.base_data","dataprofiler.data_readers.csv_data","dataprofiler.data_readers.data","dataprofiler.data_readers.data_utils","dataprofiler.data_readers.filepath_or_buffer","dataprofiler.data_readers.graph_data","dataprofiler.data_readers.json_data","dataprofiler.data_readers.parquet_data","dataprofiler.data_readers.structured_mixins","dataprofiler.data_readers.text_data","dataprofiler.dp_logging","dataprofiler.labelers","dataprofiler.labelers.base_data_labeler","dataprofiler.labelers.base_model","dataprofiler.labelers.char_load_tf_model","dataprofiler.labelers.character_level_cnn_model","dataprofiler.labelers.classification_report_utils","dataprofiler.labelers.column_name_model","dataprofiler.labelers.data_labelers","dataprofiler.labelers.data_processing","dataprofiler.labelers.labeler_utils","dataprofiler.labelers.regex_model","dataprofiler.labelers.utils","dataprofiler.profilers","dataprofiler.profilers.base_column_profilers","dataprofiler.profilers.categorical_column_profile","dataprofiler.profilers.column_profile_compilers","dataprofiler.profilers.data_labeler_column_profile","dataprofiler.profilers.datetime_column_profile","dataprofiler.profilers.float_column_profile","dataprofiler.profilers.graph_profiler","dataprofiler.profilers.helpers","dataprofiler.profilers.helpers.report_helpers","dataprofiler.profilers.histogram_utils","dataprofiler.profilers.int_column_profile","dataprofiler.profilers.json_decoder","dataprofiler.profilers.json_encoder","dataprofiler.profilers.numerical_column_stats","dataprofiler.profilers.order_column_profile","dataprofiler.profilers.profile_builder","dataprofiler.profilers.profiler_options","dataprofiler.profilers.profiler_utils","dataprofiler.profilers.text_column_profile","dataprofiler.profilers.unstructured_labeler_profile","dataprofiler.profilers.unstructured_text_profile","dataprofiler.profilers.utils","dataprofiler.reports","dataprofiler.reports.graphs","dataprofiler.reports.utils","dataprofiler.rng_utils","dataprofiler.settings","dataprofiler.validators","dataprofiler.validators.base_validators","dataprofiler.version","examples","graph_data_demo","graphs","index","install","labeler","merge_profile_list","modules","overview","popmon_dp_loader_example","profiler","profiler_example","regex_labeler_from_scratch","roadmap","unstructured_profiler_example"],envversion:{"sphinx.domains.c":2,"sphinx.domains.changeset":1,"sphinx.domains.citation":1,"sphinx.domains.cpp":4,"sphinx.domains.index":1,"sphinx.domains.javascript":2,"sphinx.domains.math":2,"sphinx.domains.python":3,"sphinx.domains.rst":2,"sphinx.domains.std":2,"sphinx.ext.intersphinx":1,nbsphinx:3,sphinx:56},filenames:["API.rst","add_new_model_to_data_labeler.nblink","column_name_labeler_example.nblink","data_labeling.rst","data_reader.nblink","data_readers.rst","dataprofiler.rst","dataprofiler.data_readers.rst","dataprofiler.data_readers.avro_data.rst","dataprofiler.data_readers.base_data.rst","dataprofiler.data_readers.csv_data.rst","dataprofiler.data_readers.data.rst","dataprofiler.data_readers.data_utils.rst","dataprofiler.data_readers.filepath_or_buffer.rst","dataprofiler.data_readers.graph_data.rst","dataprofiler.data_readers.json_data.rst","dataprofiler.data_readers.parquet_data.rst","dataprofiler.data_readers.structured_mixins.rst","dataprofiler.data_readers.text_data.rst","dataprofiler.dp_logging.rst","dataprofiler.labelers.rst","dataprofiler.labelers.base_data_labeler.rst","dataprofiler.labelers.base_model.rst","dataprofiler.labelers.char_load_tf_model.rst","dataprofiler.labelers.character_level_cnn_model.rst","dataprofiler.labelers.classification_report_utils.rst","dataprofiler.labelers.column_name_model.rst","dataprofiler.labelers.data_labelers.rst","dataprofiler.labelers.data_processing.rst","dataprofiler.labelers.labeler_utils.rst","dataprofiler.labelers.regex_model.rst","dataprofiler.labelers.utils.rst","dataprofiler.profilers.rst","dataprofiler.profilers.base_column_profilers.rst","dataprofiler.profilers.categorical_column_profile.rst","dataprofiler.profilers.column_profile_compilers.rst","dataprofiler.profilers.data_labeler_column_profile.rst","dataprofiler.profilers.datetime_column_profile.rst","dataprofiler.profilers.float_column_profile.rst","dataprofiler.profilers.graph_profiler.rst","dataprofiler.profilers.helpers.rst","dataprofiler.profilers.helpers.report_helpers.rst","dataprofiler.profilers.histogram_utils.rst","dataprofiler.profilers.int_column_profile.rst","dataprofiler.profilers.json_decoder.rst","dataprofiler.profilers.json_encoder.rst","dataprofiler.profilers.numerical_column_stats.rst","dataprofiler.profilers.order_column_profile.rst","dataprofiler.profilers.profile_builder.rst","dataprofiler.profilers.profiler_options.rst","dataprofiler.profilers.profiler_utils.rst","dataprofiler.profilers.text_column_profile.rst","dataprofiler.profilers.unstructured_labeler_profile.rst","dataprofiler.profilers.unstructured_text_profile.rst","dataprofiler.profilers.utils.rst","dataprofiler.reports.rst","dataprofiler.reports.graphs.rst","dataprofiler.reports.utils.rst","dataprofiler.rng_utils.rst","dataprofiler.settings.rst","dataprofiler.validators.rst","dataprofiler.validators.base_validators.rst","dataprofiler.version.rst","examples.rst","graph_data_demo.nblink","graphs.rst","index.rst","install.rst","labeler.nblink","merge_profile_list.nblink","modules.rst","overview.nblink","popmon_dp_loader_example.nblink","profiler.rst","profiler_example.nblink","regex_labeler_from_scratch.nblink","roadmap.rst","unstructured_profiler_example.nblink"],objects:{"":{dataprofiler:[6,0,0,"-"]},"dataprofiler.data_readers":{avro_data:[8,0,0,"-"],base_data:[9,0,0,"-"],csv_data:[10,0,0,"-"],data:[11,0,0,"-"],data_utils:[12,0,0,"-"],filepath_or_buffer:[13,0,0,"-"],graph_data:[14,0,0,"-"],json_data:[15,0,0,"-"],parquet_data:[16,0,0,"-"],structured_mixins:[17,0,0,"-"],text_data:[18,0,0,"-"]},"dataprofiler.data_readers.avro_data":{AVROData:[8,1,1,""]},"dataprofiler.data_readers.avro_data.AVROData":{data:[8,2,1,""],data_and_metadata:[8,2,1,""],data_format:[8,2,1,""],data_type:[8,3,1,""],file_encoding:[8,2,1,""],get_batch_generator:[8,4,1,""],info:[8,3,1,""],is_match:[8,4,1,""],is_structured:[8,2,1,""],length:[8,2,1,""],metadata:[8,2,1,""],reload:[8,4,1,""],selected_keys:[8,2,1,""]},"dataprofiler.data_readers.base_data":{BaseData:[9,1,1,""]},"dataprofiler.data_readers.base_data.BaseData":{data:[9,2,1,""],data_format:[9,2,1,""],data_type:[9,3,1,""],file_encoding:[9,2,1,""],get_batch_generator:[9,4,1,""],info:[9,3,1,""],is_match:[9,4,1,""],is_structured:[9,2,1,""],length:[9,2,1,""],reload:[9,4,1,""]},"dataprofiler.data_readers.csv_data":{CSVData:[10,1,1,""]},"dataprofiler.data_readers.csv_data.CSVData":{data:[10,2,1,""],data_format:[10,2,1,""],data_type:[10,3,1,""],delimiter:[10,2,1,""],file_encoding:[10,2,1,""],get_batch_generator:[10,4,1,""],header:[10,2,1,""],info:[10,3,1,""],is_match:[10,4,1,""],is_structured:[10,2,1,""],length:[10,2,1,""],options:[10,3,1,""],quotechar:[10,2,1,""],reload:[10,4,1,""],sample_nrows:[10,2,1,""],selected_columns:[10,2,1,""]},"dataprofiler.data_readers.data":{Data:[11,1,1,""]},"dataprofiler.data_readers.data.Data":{data_classes:[11,3,1,""]},"dataprofiler.data_readers.data_utils":{convert_int_to_string:[12,5,1,""],data_generator:[12,5,1,""],detect_cell_type:[12,5,1,""],detect_file_encoding:[12,5,1,""],find_nth_loc:[12,5,1,""],generator_on_file:[12,5,1,""],get_delimiter_regex:[12,5,1,""],is_valid_url:[12,5,1,""],json_to_dataframe:[12,5,1,""],load_as_str_from_file:[12,5,1,""],read_csv_df:[12,5,1,""],read_json:[12,5,1,""],read_json_df:[12,5,1,""],read_parquet_df:[12,5,1,""],read_text_as_list_of_strs:[12,5,1,""],reservoir:[12,5,1,""],rsample:[12,5,1,""],unicode_to_str:[12,5,1,""],url_to_bytes:[12,5,1,""]},"dataprofiler.data_readers.filepath_or_buffer":{FileOrBufferHandler:[13,1,1,""],is_stream_buffer:[13,5,1,""]},"dataprofiler.data_readers.graph_data":{GraphData:[14,1,1,""]},"dataprofiler.data_readers.graph_data.GraphData":{check_integer:[14,4,1,""],csv_column_names:[14,4,1,""],data:[14,2,1,""],data_format:[14,2,1,""],data_type:[14,3,1,""],file_encoding:[14,2,1,""],get_batch_generator:[14,4,1,""],info:[14,3,1,""],is_match:[14,4,1,""],is_structured:[14,2,1,""],length:[14,2,1,""],options:[14,3,1,""],reload:[14,4,1,""]},"dataprofiler.data_readers.json_data":{JSONData:[15,1,1,""]},"dataprofiler.data_readers.json_data.JSONData":{data:[15,2,1,""],data_and_metadata:[15,2,1,""],data_format:[15,2,1,""],data_type:[15,3,1,""],file_encoding:[15,2,1,""],get_batch_generator:[15,4,1,""],info:[15,3,1,""],is_match:[15,4,1,""],is_structured:[15,2,1,""],length:[15,2,1,""],metadata:[15,2,1,""],options:[15,3,1,""],reload:[15,4,1,""],selected_keys:[15,2,1,""]},"dataprofiler.data_readers.parquet_data":{ParquetData:[16,1,1,""]},"dataprofiler.data_readers.parquet_data.ParquetData":{data:[16,2,1,""],data_format:[16,2,1,""],data_type:[16,3,1,""],file_encoding:[16,2,1,""],get_batch_generator:[16,4,1,""],info:[16,3,1,""],is_match:[16,4,1,""],is_structured:[16,2,1,""],length:[16,2,1,""],options:[16,3,1,""],reload:[16,4,1,""],selected_columns:[16,2,1,""]},"dataprofiler.data_readers.structured_mixins":{SpreadSheetDataMixin:[17,1,1,""]},"dataprofiler.data_readers.text_data":{TextData:[18,1,1,""]},"dataprofiler.data_readers.text_data.TextData":{data:[18,2,1,""],data_format:[18,2,1,""],data_type:[18,3,1,""],file_encoding:[18,2,1,""],get_batch_generator:[18,4,1,""],info:[18,3,1,""],is_match:[18,4,1,""],is_structured:[18,2,1,""],length:[18,2,1,""],options:[18,3,1,""],reload:[18,4,1,""],samples_per_line:[18,2,1,""],tokenize:[18,4,1,""]},"dataprofiler.dp_logging":{get_child_logger:[19,5,1,""],get_logger:[19,5,1,""],set_verbosity:[19,5,1,""]},"dataprofiler.labelers":{base_data_labeler:[21,0,0,"-"],base_model:[22,0,0,"-"],char_load_tf_model:[23,0,0,"-"],character_level_cnn_model:[24,0,0,"-"],classification_report_utils:[25,0,0,"-"],column_name_model:[26,0,0,"-"],data_labelers:[27,0,0,"-"],data_processing:[28,0,0,"-"],labeler_utils:[29,0,0,"-"],regex_model:[30,0,0,"-"],utils:[31,0,0,"-"]},"dataprofiler.labelers.base_data_labeler":{BaseDataLabeler:[21,1,1,""],TrainableDataLabeler:[21,1,1,""]},"dataprofiler.labelers.base_data_labeler.BaseDataLabeler":{add_label:[21,4,1,""],check_pipeline:[21,4,1,""],help:[21,4,1,""],label_mapping:[21,2,1,""],labels:[21,2,1,""],load_from_disk:[21,4,1,""],load_from_library:[21,4,1,""],load_with_components:[21,4,1,""],model:[21,2,1,""],postprocessor:[21,2,1,""],predict:[21,4,1,""],preprocessor:[21,2,1,""],reverse_label_mapping:[21,2,1,""],save_to_disk:[21,4,1,""],set_labels:[21,4,1,""],set_model:[21,4,1,""],set_params:[21,4,1,""],set_postprocessor:[21,4,1,""],set_preprocessor:[21,4,1,""]},"dataprofiler.labelers.base_data_labeler.TrainableDataLabeler":{add_label:[21,4,1,""],check_pipeline:[21,4,1,""],fit:[21,4,1,""],help:[21,4,1,""],label_mapping:[21,2,1,""],labels:[21,2,1,""],load_from_disk:[21,4,1,""],load_from_library:[21,4,1,""],load_with_components:[21,4,1,""],model:[21,2,1,""],postprocessor:[21,2,1,""],predict:[21,4,1,""],preprocessor:[21,2,1,""],reverse_label_mapping:[21,2,1,""],save_to_disk:[21,4,1,""],set_labels:[21,4,1,""],set_model:[21,4,1,""],set_params:[21,4,1,""],set_postprocessor:[21,4,1,""],set_preprocessor:[21,4,1,""]},"dataprofiler.labelers.base_model":{AutoSubRegistrationMeta:[22,1,1,""],BaseModel:[22,1,1,""],BaseTrainableModel:[22,1,1,""]},"dataprofiler.labelers.base_model.AutoSubRegistrationMeta":{mro:[22,4,1,""],register:[22,4,1,""]},"dataprofiler.labelers.base_model.BaseModel":{add_label:[22,4,1,""],get_class:[22,4,1,""],get_parameters:[22,4,1,""],help:[22,4,1,""],label_mapping:[22,2,1,""],labels:[22,2,1,""],load_from_disk:[22,4,1,""],num_labels:[22,2,1,""],predict:[22,4,1,""],requires_zero_mapping:[22,3,1,""],reset_weights:[22,4,1,""],reverse_label_mapping:[22,2,1,""],save_to_disk:[22,4,1,""],set_label_mapping:[22,4,1,""],set_params:[22,4,1,""]},"dataprofiler.labelers.base_model.BaseTrainableModel":{add_label:[22,4,1,""],fit:[22,4,1,""],get_class:[22,4,1,""],get_parameters:[22,4,1,""],help:[22,4,1,""],label_mapping:[22,2,1,""],labels:[22,2,1,""],load_from_disk:[22,4,1,""],num_labels:[22,2,1,""],predict:[22,4,1,""],requires_zero_mapping:[22,3,1,""],reset_weights:[22,4,1,""],reverse_label_mapping:[22,2,1,""],save_to_disk:[22,4,1,""],set_label_mapping:[22,4,1,""],set_params:[22,4,1,""]},"dataprofiler.labelers.char_load_tf_model":{CharLoadTFModel:[23,1,1,""]},"dataprofiler.labelers.char_load_tf_model.CharLoadTFModel":{add_label:[23,4,1,""],details:[23,4,1,""],fit:[23,4,1,""],get_class:[23,4,1,""],get_parameters:[23,4,1,""],help:[23,4,1,""],label_mapping:[23,2,1,""],labels:[23,2,1,""],load_from_disk:[23,4,1,""],num_labels:[23,2,1,""],predict:[23,4,1,""],requires_zero_mapping:[23,3,1,""],reset_weights:[23,4,1,""],reverse_label_mapping:[23,2,1,""],save_to_disk:[23,4,1,""],set_label_mapping:[23,4,1,""],set_params:[23,4,1,""]},"dataprofiler.labelers.character_level_cnn_model":{CharacterLevelCnnModel:[24,1,1,""],build_embd_dictionary:[24,5,1,""],create_glove_char:[24,5,1,""]},"dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel":{add_label:[24,4,1,""],details:[24,4,1,""],fit:[24,4,1,""],get_class:[24,4,1,""],get_parameters:[24,4,1,""],help:[24,4,1,""],label_mapping:[24,2,1,""],labels:[24,2,1,""],load_from_disk:[24,4,1,""],num_labels:[24,2,1,""],predict:[24,4,1,""],requires_zero_mapping:[24,3,1,""],reset_weights:[24,4,1,""],reverse_label_mapping:[24,2,1,""],save_to_disk:[24,4,1,""],set_label_mapping:[24,4,1,""],set_params:[24,4,1,""]},"dataprofiler.labelers.classification_report_utils":{classification_report:[25,5,1,""],convert_confusion_matrix_to_MCM:[25,5,1,""],precision_recall_fscore_support:[25,5,1,""]},"dataprofiler.labelers.column_name_model":{ColumnNameModel:[26,1,1,""]},"dataprofiler.labelers.column_name_model.ColumnNameModel":{add_label:[26,4,1,""],get_class:[26,4,1,""],get_parameters:[26,4,1,""],help:[26,4,1,""],label_mapping:[26,2,1,""],labels:[26,2,1,""],load_from_disk:[26,4,1,""],num_labels:[26,2,1,""],predict:[26,4,1,""],requires_zero_mapping:[26,3,1,""],reset_weights:[26,4,1,""],reverse_label_mapping:[26,2,1,""],save_to_disk:[26,4,1,""],set_label_mapping:[26,4,1,""],set_params:[26,4,1,""]},"dataprofiler.labelers.data_labelers":{DataLabeler:[27,1,1,""],StructuredDataLabeler:[27,1,1,""],UnstructuredDataLabeler:[27,1,1,""],train_structured_labeler:[27,5,1,""]},"dataprofiler.labelers.data_labelers.DataLabeler":{labeler_classes:[27,3,1,""],load_from_disk:[27,4,1,""],load_from_library:[27,4,1,""],load_with_components:[27,4,1,""]},"dataprofiler.labelers.data_labelers.StructuredDataLabeler":{add_label:[27,4,1,""],check_pipeline:[27,4,1,""],help:[27,4,1,""],label_mapping:[27,2,1,""],labels:[27,2,1,""],load_from_disk:[27,4,1,""],load_from_library:[27,4,1,""],load_with_components:[27,4,1,""],model:[27,2,1,""],postprocessor:[27,2,1,""],predict:[27,4,1,""],preprocessor:[27,2,1,""],reverse_label_mapping:[27,2,1,""],save_to_disk:[27,4,1,""],set_labels:[27,4,1,""],set_model:[27,4,1,""],set_params:[27,4,1,""],set_postprocessor:[27,4,1,""],set_preprocessor:[27,4,1,""]},"dataprofiler.labelers.data_labelers.UnstructuredDataLabeler":{add_label:[27,4,1,""],check_pipeline:[27,4,1,""],help:[27,4,1,""],label_mapping:[27,2,1,""],labels:[27,2,1,""],load_from_disk:[27,4,1,""],load_from_library:[27,4,1,""],load_with_components:[27,4,1,""],model:[27,2,1,""],postprocessor:[27,2,1,""],predict:[27,4,1,""],preprocessor:[27,2,1,""],reverse_label_mapping:[27,2,1,""],save_to_disk:[27,4,1,""],set_labels:[27,4,1,""],set_model:[27,4,1,""],set_params:[27,4,1,""],set_postprocessor:[27,4,1,""],set_preprocessor:[27,4,1,""]},"dataprofiler.labelers.data_processing":{AutoSubRegistrationMeta:[28,1,1,""],BaseDataPostprocessor:[28,1,1,""],BaseDataPreprocessor:[28,1,1,""],BaseDataProcessor:[28,1,1,""],CharEncodedPreprocessor:[28,1,1,""],CharPostprocessor:[28,1,1,""],CharPreprocessor:[28,1,1,""],ColumnNameModelPostprocessor:[28,1,1,""],DirectPassPreprocessor:[28,1,1,""],RegexPostProcessor:[28,1,1,""],StructCharPostprocessor:[28,1,1,""],StructCharPreprocessor:[28,1,1,""],StructRegexPostProcessor:[28,1,1,""]},"dataprofiler.labelers.data_processing.AutoSubRegistrationMeta":{mro:[28,4,1,""],register:[28,4,1,""]},"dataprofiler.labelers.data_processing.BaseDataPostprocessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.BaseDataPreprocessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.BaseDataProcessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.CharEncodedPreprocessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.CharPostprocessor":{convert_to_NER_format:[28,4,1,""],get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],match_sentence_lengths:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.CharPreprocessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.DirectPassPreprocessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.RegexPostProcessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],priority_prediction:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""],split_prediction:[28,4,1,""]},"dataprofiler.labelers.data_processing.StructCharPostprocessor":{convert_to_structured_analysis:[28,4,1,""],get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],match_sentence_lengths:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.StructCharPreprocessor":{convert_to_unstructured_format:[28,4,1,""],get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.StructRegexPostProcessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.labeler_utils":{F1Score:[29,1,1,""],FBetaScore:[29,1,1,""],evaluate_accuracy:[29,5,1,""],f1_report_dict_to_str:[29,5,1,""],get_tf_layer_index_from_name:[29,5,1,""],hide_tf_logger_warnings:[29,5,1,""],protected_register_keras_serializable:[29,5,1,""]},"dataprofiler.labelers.labeler_utils.F1Score":{activity_regularizer:[29,2,1,""],add_loss:[29,4,1,""],add_metric:[29,4,1,""],add_update:[29,4,1,""],add_variable:[29,4,1,""],add_weight:[29,4,1,""],build:[29,4,1,""],build_from_config:[29,4,1,""],call:[29,4,1,""],compute_dtype:[29,2,1,""],compute_mask:[29,4,1,""],compute_output_shape:[29,4,1,""],compute_output_signature:[29,4,1,""],count_params:[29,4,1,""],dtype:[29,2,1,""],dtype_policy:[29,2,1,""],dynamic:[29,2,1,""],finalize_state:[29,4,1,""],from_config:[29,4,1,""],get_build_config:[29,4,1,""],get_config:[29,4,1,""],get_input_at:[29,4,1,""],get_input_mask_at:[29,4,1,""],get_input_shape_at:[29,4,1,""],get_output_at:[29,4,1,""],get_output_mask_at:[29,4,1,""],get_output_shape_at:[29,4,1,""],get_weights:[29,4,1,""],inbound_nodes:[29,2,1,""],input:[29,2,1,""],input_mask:[29,2,1,""],input_shape:[29,2,1,""],input_spec:[29,2,1,""],load_own_variables:[29,4,1,""],losses:[29,2,1,""],merge_state:[29,4,1,""],metrics:[29,2,1,""],name:[29,2,1,""],name_scope:[29,2,1,""],non_trainable_variables:[29,2,1,""],non_trainable_weights:[29,2,1,""],outbound_nodes:[29,2,1,""],output:[29,2,1,""],output_mask:[29,2,1,""],output_shape:[29,2,1,""],reset_state:[29,4,1,""],reset_states:[29,4,1,""],result:[29,4,1,""],save_own_variables:[29,4,1,""],set_weights:[29,4,1,""],stateful:[29,2,1,""],submodules:[29,2,1,""],supports_masking:[29,2,1,""],trainable:[29,2,1,""],trainable_variables:[29,2,1,""],trainable_weights:[29,2,1,""],update_state:[29,4,1,""],updates:[29,2,1,""],variable_dtype:[29,2,1,""],variables:[29,2,1,""],weights:[29,2,1,""],with_name_scope:[29,4,1,""]},"dataprofiler.labelers.labeler_utils.FBetaScore":{activity_regularizer:[29,2,1,""],add_loss:[29,4,1,""],add_metric:[29,4,1,""],add_update:[29,4,1,""],add_variable:[29,4,1,""],add_weight:[29,4,1,""],build:[29,4,1,""],build_from_config:[29,4,1,""],call:[29,4,1,""],compute_dtype:[29,2,1,""],compute_mask:[29,4,1,""],compute_output_shape:[29,4,1,""],compute_output_signature:[29,4,1,""],count_params:[29,4,1,""],dtype:[29,2,1,""],dtype_policy:[29,2,1,""],dynamic:[29,2,1,""],finalize_state:[29,4,1,""],from_config:[29,4,1,""],get_build_config:[29,4,1,""],get_config:[29,4,1,""],get_input_at:[29,4,1,""],get_input_mask_at:[29,4,1,""],get_input_shape_at:[29,4,1,""],get_output_at:[29,4,1,""],get_output_mask_at:[29,4,1,""],get_output_shape_at:[29,4,1,""],get_weights:[29,4,1,""],inbound_nodes:[29,2,1,""],input:[29,2,1,""],input_mask:[29,2,1,""],input_shape:[29,2,1,""],input_spec:[29,2,1,""],load_own_variables:[29,4,1,""],losses:[29,2,1,""],merge_state:[29,4,1,""],metrics:[29,2,1,""],name:[29,2,1,""],name_scope:[29,2,1,""],non_trainable_variables:[29,2,1,""],non_trainable_weights:[29,2,1,""],outbound_nodes:[29,2,1,""],output:[29,2,1,""],output_mask:[29,2,1,""],output_shape:[29,2,1,""],reset_state:[29,4,1,""],reset_states:[29,4,1,""],result:[29,4,1,""],save_own_variables:[29,4,1,""],set_weights:[29,4,1,""],stateful:[29,2,1,""],submodules:[29,2,1,""],supports_masking:[29,2,1,""],trainable:[29,2,1,""],trainable_variables:[29,2,1,""],trainable_weights:[29,2,1,""],update_state:[29,4,1,""],updates:[29,2,1,""],variable_dtype:[29,2,1,""],variables:[29,2,1,""],weights:[29,2,1,""],with_name_scope:[29,4,1,""]},"dataprofiler.labelers.regex_model":{RegexModel:[30,1,1,""]},"dataprofiler.labelers.regex_model.RegexModel":{add_label:[30,4,1,""],get_class:[30,4,1,""],get_parameters:[30,4,1,""],help:[30,4,1,""],label_mapping:[30,2,1,""],labels:[30,2,1,""],load_from_disk:[30,4,1,""],num_labels:[30,2,1,""],predict:[30,4,1,""],requires_zero_mapping:[30,3,1,""],reset_weights:[30,4,1,""],reverse_label_mapping:[30,2,1,""],save_to_disk:[30,4,1,""],set_label_mapping:[30,4,1,""],set_params:[30,4,1,""]},"dataprofiler.labelers.utils":{require_module:[31,5,1,""],warn_missing_module:[31,5,1,""]},"dataprofiler.profilers":{base_column_profilers:[33,0,0,"-"],categorical_column_profile:[34,0,0,"-"],column_profile_compilers:[35,0,0,"-"],data_labeler_column_profile:[36,0,0,"-"],datetime_column_profile:[37,0,0,"-"],float_column_profile:[38,0,0,"-"],graph_profiler:[39,0,0,"-"],helpers:[40,0,0,"-"],histogram_utils:[42,0,0,"-"],int_column_profile:[43,0,0,"-"],json_decoder:[44,0,0,"-"],json_encoder:[45,0,0,"-"],numerical_column_stats:[46,0,0,"-"],order_column_profile:[47,0,0,"-"],profile_builder:[48,0,0,"-"],profiler_options:[49,0,0,"-"],profiler_utils:[50,0,0,"-"],text_column_profile:[51,0,0,"-"],unstructured_labeler_profile:[52,0,0,"-"],unstructured_text_profile:[53,0,0,"-"]},"dataprofiler.profilers.base_column_profilers":{BaseColumnPrimitiveTypeProfiler:[33,1,1,""],BaseColumnProfiler:[33,1,1,""]},"dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler":{col_type:[33,3,1,""],diff:[33,4,1,""],load_from_dict:[33,4,1,""],metadata:[33,3,1,""],name:[33,3,1,""],profile:[33,2,1,""],report:[33,4,1,""],sample_size:[33,3,1,""],thread_safe:[33,3,1,""],times:[33,3,1,""],update:[33,4,1,""]},"dataprofiler.profilers.base_column_profilers.BaseColumnProfiler":{col_type:[33,3,1,""],diff:[33,4,1,""],load_from_dict:[33,4,1,""],profile:[33,2,1,""],report:[33,4,1,""],update:[33,4,1,""]},"dataprofiler.profilers.categorical_column_profile":{CategoricalColumn:[34,1,1,""]},"dataprofiler.profilers.categorical_column_profile.CategoricalColumn":{categorical_counts:[34,2,1,""],categories:[34,2,1,""],col_type:[34,3,1,""],diff:[34,4,1,""],gini_impurity:[34,2,1,""],is_match:[34,2,1,""],load_from_dict:[34,4,1,""],metadata:[34,3,1,""],name:[34,3,1,""],profile:[34,2,1,""],report:[34,4,1,""],sample_size:[34,3,1,""],thread_safe:[34,3,1,""],times:[34,3,1,""],type:[34,3,1,""],unalikeability:[34,2,1,""],unique_count:[34,2,1,""],unique_ratio:[34,2,1,""],update:[34,4,1,""]},"dataprofiler.profilers.column_profile_compilers":{BaseCompiler:[35,1,1,""],ColumnDataLabelerCompiler:[35,1,1,""],ColumnPrimitiveTypeProfileCompiler:[35,1,1,""],ColumnStatsProfileCompiler:[35,1,1,""],UnstructuredCompiler:[35,1,1,""]},"dataprofiler.profilers.column_profile_compilers.BaseCompiler":{diff:[35,4,1,""],load_from_dict:[35,4,1,""],profile:[35,2,1,""],report:[35,4,1,""],update_profile:[35,4,1,""]},"dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler":{diff:[35,4,1,""],load_from_dict:[35,4,1,""],profile:[35,2,1,""],report:[35,4,1,""],update_profile:[35,4,1,""]},"dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler":{diff:[35,4,1,""],load_from_dict:[35,4,1,""],profile:[35,2,1,""],report:[35,4,1,""],selected_data_type:[35,2,1,""],update_profile:[35,4,1,""]},"dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler":{diff:[35,4,1,""],load_from_dict:[35,4,1,""],profile:[35,2,1,""],report:[35,4,1,""],update_profile:[35,4,1,""]},"dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler":{diff:[35,4,1,""],load_from_dict:[35,4,1,""],profile:[35,2,1,""],report:[35,4,1,""],update_profile:[35,4,1,""]},"dataprofiler.profilers.data_labeler_column_profile":{DataLabelerColumn:[36,1,1,""]},"dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn":{assert_equal_conditions:[36,4,1,""],avg_predictions:[36,2,1,""],col_type:[36,3,1,""],data_label:[36,2,1,""],diff:[36,4,1,""],label_representation:[36,2,1,""],load_from_dict:[36,4,1,""],metadata:[36,3,1,""],name:[36,3,1,""],possible_data_labels:[36,2,1,""],profile:[36,2,1,""],rank_distribution:[36,2,1,""],report:[36,4,1,""],reverse_label_mapping:[36,2,1,""],sample_size:[36,3,1,""],sum_predictions:[36,2,1,""],thread_safe:[36,3,1,""],times:[36,3,1,""],type:[36,3,1,""],update:[36,4,1,""]},"dataprofiler.profilers.datetime_column_profile":{DateTimeColumn:[37,1,1,""]},"dataprofiler.profilers.datetime_column_profile.DateTimeColumn":{col_type:[37,3,1,""],data_type_ratio:[37,2,1,""],diff:[37,4,1,""],load_from_dict:[37,4,1,""],match_count:[37,3,1,""],metadata:[37,3,1,""],name:[37,3,1,""],profile:[37,2,1,""],report:[37,4,1,""],sample_size:[37,3,1,""],thread_safe:[37,3,1,""],times:[37,3,1,""],type:[37,3,1,""],update:[37,4,1,""]},"dataprofiler.profilers.float_column_profile":{FloatColumn:[38,1,1,""]},"dataprofiler.profilers.float_column_profile.FloatColumn":{col_type:[38,3,1,""],data_type_ratio:[38,2,1,""],diff:[38,4,1,""],is_float:[38,4,1,""],is_int:[38,4,1,""],kurtosis:[38,2,1,""],load_from_dict:[38,4,1,""],match_count:[38,3,1,""],mean:[38,2,1,""],median:[38,2,1,""],median_abs_deviation:[38,2,1,""],metadata:[38,3,1,""],mode:[38,2,1,""],name:[38,3,1,""],np_type_to_type:[38,4,1,""],precision:[38,2,1,""],profile:[38,2,1,""],report:[38,4,1,""],sample_size:[38,3,1,""],skewness:[38,2,1,""],stddev:[38,2,1,""],thread_safe:[38,3,1,""],times:[38,3,1,""],type:[38,3,1,""],update:[38,4,1,""],variance:[38,2,1,""]},"dataprofiler.profilers.graph_profiler":{GraphProfiler:[39,1,1,""]},"dataprofiler.profilers.graph_profiler.GraphProfiler":{diff:[39,4,1,""],load:[39,4,1,""],profile:[39,2,1,""],report:[39,4,1,""],save:[39,4,1,""],times:[39,3,1,""],update:[39,4,1,""]},"dataprofiler.profilers.helpers":{calculate_quantiles:[40,5,1,""],report_helpers:[41,0,0,"-"]},"dataprofiler.profilers.helpers.report_helpers":{calculate_quantiles:[41,5,1,""],flat_dict:[41,5,1,""]},"dataprofiler.profilers.int_column_profile":{IntColumn:[43,1,1,""]},"dataprofiler.profilers.int_column_profile.IntColumn":{col_type:[43,3,1,""],data_type_ratio:[43,2,1,""],diff:[43,4,1,""],is_float:[43,4,1,""],is_int:[43,4,1,""],kurtosis:[43,2,1,""],load_from_dict:[43,4,1,""],match_count:[43,3,1,""],mean:[43,2,1,""],median:[43,2,1,""],median_abs_deviation:[43,2,1,""],metadata:[43,3,1,""],mode:[43,2,1,""],name:[43,3,1,""],np_type_to_type:[43,4,1,""],profile:[43,2,1,""],report:[43,4,1,""],sample_size:[43,3,1,""],skewness:[43,2,1,""],stddev:[43,2,1,""],thread_safe:[43,3,1,""],times:[43,3,1,""],type:[43,3,1,""],update:[43,4,1,""],variance:[43,2,1,""]},"dataprofiler.profilers.json_decoder":{get_column_profiler_class:[44,5,1,""],get_compiler_class:[44,5,1,""],get_option_class:[44,5,1,""],get_profiler_class:[44,5,1,""],get_structured_col_profiler_class:[44,5,1,""],load_column_profile:[44,5,1,""],load_compiler:[44,5,1,""],load_option:[44,5,1,""],load_profiler:[44,5,1,""],load_structured_col_profiler:[44,5,1,""]},"dataprofiler.profilers.json_encoder":{ProfileEncoder:[45,1,1,""]},"dataprofiler.profilers.json_encoder.ProfileEncoder":{"default":[45,4,1,""],encode:[45,4,1,""],item_separator:[45,3,1,""],iterencode:[45,4,1,""],key_separator:[45,3,1,""]},"dataprofiler.profilers.numerical_column_stats":{NumericStatsMixin:[46,1,1,""],abstractstaticmethod:[46,1,1,""]},"dataprofiler.profilers.numerical_column_stats.NumericStatsMixin":{col_type:[46,3,1,""],diff:[46,4,1,""],is_float:[46,4,1,""],is_int:[46,4,1,""],kurtosis:[46,2,1,""],load_from_dict:[46,4,1,""],mean:[46,2,1,""],median:[46,2,1,""],median_abs_deviation:[46,2,1,""],metadata:[46,3,1,""],mode:[46,2,1,""],name:[46,3,1,""],np_type_to_type:[46,4,1,""],profile:[46,4,1,""],report:[46,4,1,""],sample_size:[46,3,1,""],skewness:[46,2,1,""],stddev:[46,2,1,""],thread_safe:[46,3,1,""],times:[46,3,1,""],type:[46,3,1,""],update:[46,4,1,""],variance:[46,2,1,""]},"dataprofiler.profilers.order_column_profile":{Comparable:[47,1,1,""],OrderColumn:[47,1,1,""]},"dataprofiler.profilers.order_column_profile.OrderColumn":{col_type:[47,3,1,""],diff:[47,4,1,""],load_from_dict:[47,4,1,""],metadata:[47,3,1,""],name:[47,3,1,""],profile:[47,2,1,""],report:[47,4,1,""],sample_size:[47,3,1,""],thread_safe:[47,3,1,""],times:[47,3,1,""],type:[47,3,1,""],update:[47,4,1,""]},"dataprofiler.profilers.profile_builder":{BaseProfiler:[48,1,1,""],Profiler:[48,1,1,""],StructuredColProfiler:[48,1,1,""],StructuredProfiler:[48,1,1,""],UnstructuredProfiler:[48,1,1,""]},"dataprofiler.profilers.profile_builder.BaseProfiler":{diff:[48,4,1,""],load:[48,4,1,""],load_from_dict:[48,4,1,""],profile:[48,2,1,""],report:[48,4,1,""],save:[48,4,1,""],update_profile:[48,4,1,""]},"dataprofiler.profilers.profile_builder.Profiler":{load:[48,4,1,""]},"dataprofiler.profilers.profile_builder.StructuredColProfiler":{clean_data_and_get_base_stats:[48,4,1,""],diff:[48,4,1,""],load_from_dict:[48,4,1,""],profile:[48,2,1,""],report:[48,4,1,""],update_column_profilers:[48,4,1,""],update_profile:[48,4,1,""]},"dataprofiler.profilers.profile_builder.StructuredProfiler":{diff:[48,4,1,""],load:[48,4,1,""],load_from_dict:[48,4,1,""],profile:[48,2,1,""],report:[48,4,1,""],save:[48,4,1,""],update_profile:[48,4,1,""]},"dataprofiler.profilers.profile_builder.UnstructuredProfiler":{diff:[48,4,1,""],load:[48,4,1,""],load_from_dict:[48,4,1,""],profile:[48,2,1,""],report:[48,4,1,""],save:[48,4,1,""],update_profile:[48,4,1,""]},"dataprofiler.profilers.profiler_options":{BaseInspectorOptions:[49,1,1,""],BaseOption:[49,1,1,""],BooleanOption:[49,1,1,""],CategoricalOptions:[49,1,1,""],CorrelationOptions:[49,1,1,""],DataLabelerOptions:[49,1,1,""],DateTimeOptions:[49,1,1,""],FloatOptions:[49,1,1,""],HistogramAndQuantilesOption:[49,1,1,""],HyperLogLogOptions:[49,1,1,""],IntOptions:[49,1,1,""],ModeOption:[49,1,1,""],NumericalOptions:[49,1,1,""],OrderOptions:[49,1,1,""],PrecisionOptions:[49,1,1,""],ProfilerOptions:[49,1,1,""],RowStatisticsOptions:[49,1,1,""],StructuredOptions:[49,1,1,""],TextOptions:[49,1,1,""],TextProfilerOptions:[49,1,1,""],UniqueCountOptions:[49,1,1,""],UnstructuredOptions:[49,1,1,""]},"dataprofiler.profilers.profiler_options.BaseInspectorOptions":{is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.BaseOption":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.BooleanOption":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.CategoricalOptions":{is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.CorrelationOptions":{is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.DataLabelerOptions":{is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.DateTimeOptions":{is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.FloatOptions":{is_numeric_stats_enabled:[49,2,1,""],is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.HyperLogLogOptions":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.IntOptions":{is_numeric_stats_enabled:[49,2,1,""],is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.ModeOption":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.NumericalOptions":{is_numeric_stats_enabled:[49,2,1,""],is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.OrderOptions":{is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.PrecisionOptions":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.ProfilerOptions":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.RowStatisticsOptions":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.StructuredOptions":{enabled_profiles:[49,2,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.TextOptions":{is_numeric_stats_enabled:[49,2,1,""],is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.TextProfilerOptions":{is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.UniqueCountOptions":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.UnstructuredOptions":{enabled_profiles:[49,2,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_utils":{KeyDict:[50,1,1,""],Subtractable:[50,1,1,""],add_nested_dictionaries:[50,5,1,""],auto_multiprocess_toggle:[50,5,1,""],biased_kurt:[50,5,1,""],biased_skew:[50,5,1,""],chunk:[50,5,1,""],find_diff_of_dates:[50,5,1,""],find_diff_of_dicts:[50,5,1,""],find_diff_of_dicts_with_diff_keys:[50,5,1,""],find_diff_of_lists_and_sets:[50,5,1,""],find_diff_of_matrices:[50,5,1,""],find_diff_of_numbers:[50,5,1,""],find_diff_of_strings_and_bools:[50,5,1,""],generate_pool:[50,5,1,""],get_memory_size:[50,5,1,""],merge:[50,5,1,""],merge_profile_list:[50,5,1,""],method_timeit:[50,5,1,""],overlap:[50,5,1,""],partition:[50,5,1,""],perform_chi_squared_test_for_homogeneity:[50,5,1,""],recursive_dict_update:[50,5,1,""],reload_labeler_from_options_or_get_new:[50,5,1,""],shuffle_in_chunks:[50,5,1,""],suggest_pool_size:[50,5,1,""],warn_on_profile:[50,5,1,""]},"dataprofiler.profilers.profiler_utils.KeyDict":{clear:[50,4,1,""],copy:[50,4,1,""],default_factory:[50,3,1,""],fromkeys:[50,4,1,""],get:[50,4,1,""],items:[50,4,1,""],keys:[50,4,1,""],pop:[50,4,1,""],popitem:[50,4,1,""],setdefault:[50,4,1,""],update:[50,4,1,""],values:[50,4,1,""]},"dataprofiler.profilers.text_column_profile":{TextColumn:[51,1,1,""]},"dataprofiler.profilers.text_column_profile.TextColumn":{bias_correction:[51,3,1,""],col_type:[51,3,1,""],data_type_ratio:[51,2,1,""],diff:[51,4,1,""],histogram_bin_method_names:[51,3,1,""],histogram_methods:[51,3,1,""],histogram_selection:[51,3,1,""],is_float:[51,4,1,""],is_int:[51,4,1,""],kurtosis:[51,2,1,""],load_from_dict:[51,4,1,""],match_count:[51,3,1,""],max:[51,3,1,""],max_histogram_bin:[51,3,1,""],mean:[51,2,1,""],median:[51,2,1,""],median_abs_deviation:[51,2,1,""],metadata:[51,3,1,""],min:[51,3,1,""],min_histogram_bin:[51,3,1,""],mode:[51,2,1,""],name:[51,3,1,""],np_type_to_type:[51,4,1,""],num_negatives:[51,3,1,""],num_zeros:[51,3,1,""],profile:[51,2,1,""],quantiles:[51,3,1,""],report:[51,4,1,""],sample_size:[51,3,1,""],skewness:[51,2,1,""],stddev:[51,2,1,""],sum:[51,3,1,""],thread_safe:[51,3,1,""],times:[51,3,1,""],type:[51,3,1,""],update:[51,4,1,""],user_set_histogram_bin:[51,3,1,""],variance:[51,2,1,""]},"dataprofiler.profilers.unstructured_labeler_profile":{UnstructuredLabelerProfile:[52,1,1,""]},"dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile":{diff:[52,4,1,""],label_encoding:[52,2,1,""],profile:[52,2,1,""],report:[52,4,1,""],type:[52,3,1,""],update:[52,4,1,""]},"dataprofiler.profilers.unstructured_text_profile":{TextProfiler:[53,1,1,""]},"dataprofiler.profilers.unstructured_text_profile.TextProfiler":{diff:[53,4,1,""],profile:[53,2,1,""],report:[53,4,1,""],type:[53,3,1,""],update:[53,4,1,""]},"dataprofiler.reports":{graphs:[56,0,0,"-"],utils:[57,0,0,"-"]},"dataprofiler.reports.utils":{require_module:[57,5,1,""],warn_missing_module:[57,5,1,""]},"dataprofiler.rng_utils":{get_random_number_generator:[58,5,1,""]},"dataprofiler.validators":{base_validators:[61,0,0,"-"]},"dataprofiler.validators.base_validators":{Validator:[61,1,1,""],is_in_list:[61,5,1,""],is_in_range:[61,5,1,""]},"dataprofiler.validators.base_validators.Validator":{get:[61,4,1,""],validate:[61,4,1,""]},dataprofiler:{data_readers:[7,0,0,"-"],dp_logging:[19,0,0,"-"],labelers:[20,0,0,"-"],profilers:[32,0,0,"-"],reports:[55,0,0,"-"],rng_utils:[58,0,0,"-"],set_seed:[6,5,1,""],settings:[59,0,0,"-"],validators:[60,0,0,"-"],version:[62,0,0,"-"]}},objnames:{"0":["py","module","Python module"],"1":["py","class","Python class"],"2":["py","property","Python property"],"3":["py","attribute","Python attribute"],"4":["py","method","Python method"],"5":["py","function","Python function"]},objtypes:{"0":"py:module","1":"py:class","2":"py:property","3":"py:attribute","4":"py:method","5":"py:function"},terms:{"0":[1,2,3,4,5,12,13,14,21,25,28,29,34,38,43,45,46,48,49,51,64,65,66,67,68,69,71,72,73,74,75,77],"00":[12,29,38,43,46,51],"000":[66,73,74],"000043219499392912":3,"01":[49,50,73],"02":72,"05":4,"07":[4,68,72],"0700":68,"0f":68,"0m":4,"0s":1,"1":[1,2,4,5,12,14,21,25,28,29,34,36,38,43,46,49,51,61,65,66,68,69,71,73,74,75],"10":[3,4,12,29,65,66,68,72,73],"100":[2,68,74],"1000":[10,15,49,71,73,74],"10000":[66,73],"1024":12,"108":4,"11":[4,66,68],"11111111":68,"1111111111111":68,"116":4,"12":29,"123":[68,75],"1234":3,"127":1,"13":[4,68],"15":[4,49,71],"16":[68,74],"177":4,"18":[3,66],"180":4,"1w":72,"2":[1,2,3,4,21,25,27,29,34,35,48,49,50,61,65,66,68,69,71,73,74,75],"20":[12,29,50,73],"200":5,"2004":25,"2005":[34,68],"2014":4,"2015":72,"2018":50,"2019":29,"202":75,"2020":65,"2021":65,"21":4,"22":25,"225":4,"23":4,"27":34,"289":4,"29":4,"2x2":25,"3":[2,3,4,25,29,61,65,66,68,69,71,72,73,74,75],"30":[25,29],"301":3,"31":[4,68],"31m":4,"32":[1,21,23,24,27,28],"326":4,"327":4,"33":29,"334":4,"335":4,"34":4,"3400":[1,28],"35":4,"37":68,"3f":68,"3x":77,"4":[0,2,4,29,65,66,68,69,71,73,74,75,77],"40":29,"429":4,"43":4,"4448069":4,"454":4,"456":68,"458":4,"5":[4,25,49,50,65,66,73],"50":[2,29,75],"5000":[28,48,49],"55":4,"56":4,"57":29,"58":[4,34],"59":4,"6":[64,66,74],"60":[15,29,34],"61":4,"62":4,"63":4,"63359209":4,"64":1,"65":4,"65064207":4,"65536":12,"67":[25,29],"7":[4,64,66,68,72],"75":[4,28,29],"750":73,"750000":50,"76715529":4,"7890":68,"79":4,"79556889":4,"7bit":68,"8":[4,12,14,66,73,74],"80":[4,29,38,43,46,51,75],"81":4,"83":4,"84":4,"85":[2,71],"89":4,"9":[4,66,72,75],"92m":4,"95":[4,49,73],"97":3,"98":4,"9959787":4,"\u03c3":34,"abstract":[3,9,21,22,28,33,34,35,36,37,46,47,48],"boolean":[1,2,5,12,13,29,33,34,35,36,37,43,47,49,52,73],"break":1,"byte":12,"case":[1,4,25,28,29,47,49,50,51,66,72,73,75],"char":[6,12,20,22,24,26,28,30,66,74,75,77],"class":[1,3,4,5,8,9,10,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,38,39,43,44,45,46,47,48,49,50,51,52,53,61,63,64,66,68,73,74,77],"default":[1,2,3,4,5,10,25,26,28,29,44,45,48,49,50,64,66,67,68,72,73,75],"do":[29,31,49,57,65,72],"final":[1,2,24,29,72],"float":[1,3,6,12,21,22,23,24,25,28,29,32,34,36,37,43,45,46,47,48,49,50,51,61,64,65,66,68,73,74,77],"function":[1,3,4,12,13,17,21,25,26,28,29,31,38,39,40,41,42,43,45,46,49,50,51,56,57,64,65,68,69,71,72,73,74,75,77],"import":[1,2,3,4,5,45,63,64,66,68,71,72,73,74,75,77],"int":[1,5,6,8,9,10,12,13,14,15,16,18,19,21,22,23,24,25,26,27,28,29,30,32,33,34,36,37,38,40,41,45,46,47,48,49,50,51,61,65,66,68,71,73,74,77],"long":1,"new":[8,9,10,14,15,16,18,21,22,23,24,26,27,30,34,50,63,64,66,68,69,73,74,77],"null":[46,48,49,66,71,72,73,74,77],"return":[1,2,4,5,8,9,10,11,12,13,14,15,16,17,18,19,21,22,23,24,25,26,27,28,29,30,31,33,34,35,36,37,38,39,40,41,43,44,45,46,47,48,49,50,51,52,53,57,61,66,68,72,73,74,77],"short":1,"static":[28,36,38,43,46,48,51],"super":[29,72],"switch":[68,72],"true":[1,2,3,4,5,9,12,13,18,21,22,23,24,25,26,27,28,29,30,34,38,43,45,46,49,50,51,64,66,68,72,73,75,77],"try":[2,4,29,64,68,69,71,72,74,75,77],"var":[66,74],"while":[1,3,4,25,71,75],A:[5,25,26,28,29,30,42,49,63,66,71,73,74,75],AS:29,And:69,As:[2,4,29,42,68,71,74,77],At:15,By:[3,4,25,29,68,73],For:[2,3,4,5,22,23,25,28,29,34,35,38,43,45,46,48,49,50,51,53,61,64,67,68,71,73,74,75,76,77],IS:[29,75],If:[12,25,29,31,36,45,49,50,57,64,65,66,67,72,73],In:[1,2,3,4,12,25,28,29,50,66,68,71,73,74,75,77],Is:4,It:[3,5,29,45,64,66,68,74,77],NOT:29,No:[34,61,73],Not:[74,77],OF:29,OR:[12,29],One:[71,73,74,77],Or:[6,7],Such:[74,77],The:[0,1,2,3,4,5,12,20,25,29,45,48,49,50,61,64,65,66,67,68,71,72,73,74,75,77],There:[4,66,68,73],These:[4,29,63,65,77],To:[3,45,66,67,68,71,72,74,75,77],Will:[3,49],With:[65,73,74,77],_:[29,41],__calcul:[39,46],__call__:29,__class__:[2,75],__init__:[1,3,29],__missing__:50,__name__:[2,44,75],_argmax_threshold_lay:1,_char_encoding_lay:1,_construct_model:[1,3],_epoch_id:1,_gener:58,_io:[8,11,12,13,15,16],_model:1,_model_default_ind:1,_model_num_label:1,_need_to_reconstruct_model:3,_one_shot:45,_paramet:[1,2,75],_postprocessor:1,_preprocessor:1,_pull:72,_reconstruct_model:3,_save_processor:3,_validate_paramet:[1,3],a_natural_but_biased_estim:50,a_out:29,ab:29,abc:[4,22,28,68],abcmeta:[22,28],abil:[4,66,71,74,77],abl:[3,21,29,64,68],about:[3,4,66,68,74,76,77],abov:[1,5,29,64,66,67,68,73],absolut:[38,43,46,51,73],abstractstaticmethod:46,acc:1,accept:[1,3,14,29,73],access:[5,19,29,63,66,73],accomplish:[74,77],accord:73,account:[3,25,50,66],accur:74,accuraci:[25,29,68],achiev:[2,75],across:[28,29,61,73],activ:[1,4,29,67,73],activity_regular:29,actual:72,ad:[12,21,22,23,24,26,27,29,30,48,63,74,77],adam:1,adapt:[1,29],add:[1,3,17,21,22,23,24,26,27,29,30,50,66,68,74,76,77],add_label:[3,21,22,23,24,26,27,30,68],add_loss:29,add_metr:29,add_nested_dictionari:50,add_true_false_color:4,add_upd:29,add_vari:29,add_weight:29,addit:[1,4,12,29,66,68,71,73,74,77],addition:[4,5,48,65,71,75],addon:29,address:[2,3,66,68,75],adjust:[63,73],advanc:25,aforement:71,after:[29,63,64,71,75],again:[2,29,64,68],against:29,aggreg:[28,29,75],aggregation_func:[28,75],agre:29,ahead:72,algorithm:4,alia:29,all:[1,4,8,9,10,12,14,15,16,18,22,23,24,25,26,28,29,30,36,45,48,49,50,51,65,67,68,69,71,72,73,74,76],all_fil:[4,71],alloc:50,allow:[3,4,19,21,22,27,28,29,48,50,68,71,72,73,74,75,77],allow_nan:45,alon:75,along:[46,48,61,66,73,76],alreadi:[1,29,67],also:[1,3,4,5,8,10,14,15,16,18,25,29,49,61,64,65,66,68,71,73,74,75,77],alter:[19,21,22,23,24,25,26,27,28,30,63,73],altern:[49,73,74,77],although:[29,49,73],alwai:[13,51],amount:73,an:[1,4,8,9,10,12,14,15,16,17,18,22,25,28,29,30,34,38,43,45,46,47,50,51,61,64,66,68,69,71,72,73,74,76,77],analysi:[28,38,43,47,51,52,66,73,76],analyz:[74,77],ani:[2,3,4,5,8,9,10,11,12,13,14,16,17,22,23,24,26,28,29,30,33,34,35,36,37,38,43,46,47,48,49,50,51,65,66,67,68,71,72,73,74,77],annot:50,anoth:[29,34,64,66,68,73,74,76,77],anyth:28,apach:29,api:[29,66,76],appear:73,append:[1,68,74,77],appl:67,appli:[26,28,29,30,48,52,73,74,77],applic:[25,29,49,66,71,74,77],approach:72,appropri:[22,23,24,26,30,36,37,47,49,68,74,77],approxim:[28,73],apt:67,ar:[1,2,3,4,5,10,12,18,22,23,24,25,26,28,29,30,34,45,48,49,50,65,66,67,68,71,72,73,74,75,77],architectur:[1,3],aren:29,arg:[12,28,29,47,50],argmax:[1,28,29],argmax_lay:1,argmax_output:1,argument:[13,21,27,29,50],around:[38,43,46,51,76],arrai:[3,25,29,45,50,66],ascend:73,ascii:[45,68],ascii_num:1,aspect:[74,77],assert_equal_condit:36,assign:50,assist:3,associ:[21,27,29,30],assum:[28,29,35,50,69,71],astyp:[1,68],attempt:[29,45,73],attr1:44,attr2:44,attr:[22,28,35,49],attribut:[2,14,29,33,34,35,36,37,38,39,43,46,47,48,49,50,51,53,63,64,73],attribute_1:66,attribute_2:66,attribute_n:73,attributeerror:[4,29],attributt:[66,73],aug:68,august:68,author:[4,29,71,74],auto:[4,5,11,22,49,66,73],auto_multiprocess_toggl:50,autom:50,automat:[29,63,64,66,73,76],automaticali:4,autosubregistr:28,autosubregistrationmeta:[22,28],avail:[2,5,42,45,65,73,74],averag:[1,25,29,36,64,73],avg:29,avg_node_degre:[64,66,73],avg_predict:[36,66,73,74],avro:[4,5,6,7,16,66,67,71,73,74,77],avro_data:[8,11,71],avro_fil:[4,71],avrodata:[4,8,11,71],aw:[1,68,76],aws_honeypot_marx_geo:[1,4,71,72,74],ax:[65,74],b:[29,30,50,65],b_out:29,back:[29,76],backend:1,background:[2,28,30],backward:[29,76],ban:[3,66],bank:[3,66],bar:45,barchart:65,bargraph:65,base:[3,5,6,7,8,10,11,13,14,15,16,17,18,20,23,24,26,27,28,29,30,32,34,35,36,37,38,39,43,45,46,47,48,49,50,51,52,53,60,71,73,74,76],base_column_profil:[33,34,36,37,38,43,46,47,51],base_data:[8,9,10,14,15,16,18,48],base_data_label:[21,27],base_metr:29,base_model:[1,3,21,22,23,24,26,27,30],base_valid:61,basecolumnprimitivetypeprofil:[33,37,38,43,51],basecolumnprimitivetypeprofilert:33,basecolumnprofil:[33,34,36,37,44,45,46,47,51],basecolumnprofilert:[33,46],basecompil:[35,44,48],basecompilert:35,basedata:[8,9,10,14,15,16,18,48],basedatalabel:[20,21,27,49,50,73],basedatapostprocessor:[3,21,27,28],basedatapreprocessor:[3,21,27,28],basedataprocessor:28,baseinspectoropt:49,baseinspectoroptionst:49,baselin:76,basemodel:[1,3,21,22,23,24,26,27,30,68],baseopt:[33,44,48,49],baseoptiont:49,baseprocessor:68,baseprofil:[44,48,50],baseprofilert:48,basetrainablemodel:[22,23,24],basi:[29,45],basic:[3,68,69],batch:[8,9,10,14,15,16,18,21,22,23,24,27,28,66,71,73],batch_1:73,batch_2:73,batch_data:28,batch_siz:[8,9,10,14,15,16,18,21,22,23,24,26,27,28,30],batchnorm:29,baz:45,bc:4,bcc:68,bdist:67,bdist_wheel:67,becaus:[4,25,29,49,50,75],becom:[28,29,50],been:[4,29,44],befor:[3,29,49,73,75],behavior:[29,45],behind:2,being:[2,4,5,8,9,10,12,13,14,15,16,17,18,21,22,23,24,25,26,27,28,30,36,39,48,49,73,75],belong:3,below:[2,4,5,25,28,29,42,49,64,65,66,68,71,72,73,74,75,77],besid:[68,71],best:[4,5,36,66],beta:[25,29],better:68,between:[2,3,4,25,27,28,29,35,36,37,39,47,48,49,50,52,53,64,68,72,73,74,75,77],beyond:[74,77],bfloat16:29,bia:[29,49,73],bias:50,bias_correct:[49,51,73],biased_kurt:50,biased_skew:50,big:68,bigobject:45,bin:[38,43,46,49,51,64,67,71,73],bin_count:[64,66,73,74],bin_count_or_method:[49,71,73],bin_edg:[64,66,73,74],binari:25,bit:2,blob:[29,42],block:72,blog:4,blogpost:4,bool:[8,9,10,12,14,15,16,18,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,38,39,43,46,47,48,49,50,51,52,53,61,66,73,74],booleanopt:49,booleanoptiont:49,both:[4,12,29,47,49,63,68,73,74,75,77],bound:50,branch:76,brand:2,breadth:29,breakdown:73,breviti:68,brew:67,broken:71,bucket:[49,73,76],buffer:[6,7,12],buffer_s:12,bufferediobas:13,bug:66,build:[1,12,25,29,46,48,61,63],build_embd_dictionari:[1,24],build_from_config:29,builder:[6,32],built:[1,20,28,29],builtin:3,byte_s:12,bytesio:[8,11,12,13,16],c:[29,65],cach:29,calcul:[3,25,29,34,37,38,39,40,41,43,46,48,49,50,51,66,73,74,76,77],calculate_quantil:[40,41],call:[3,5,12,25,29,44,45,46,49,50,71,74],callabl:[29,31,46,50,57],came:29,can:[1,2,3,4,5,8,9,10,15,16,17,18,21,25,29,45,48,50,51,64,65,66,67,68,71,72,73,74,75,77],candid:29,cannot:[3,12,29,65],capabl:[4,29],capitalon:[4,67],captur:75,carat:4,cast:29,categor:[6,32,49,64,66,73,74,75],categori:[1,34,49,50,66,68,71,73,74],categorical_attribut:[64,66,73],categorical_column_profil:34,categorical_count:[34,66,73],categorical_crossentropi:1,categorical_distribut:[64,66,73],categorical_statu:4,categoricalcolumn:[34,35,47],categoricalopt:[34,49],categories1:50,categories2:50,caus:[29,45,49],cc:68,cdist:26,cdot:29,cell:[3,12,64,66,68,75],certain:29,chang:[3,4,29,35,38,43,46,48,51,72,73,74,75,76,77],char_in_vector:1,char_load_tf_model:23,charact:[3,4,6,10,12,14,20,28,30,41,45,48,49,63,66,68,71,73,75],character_argmax:28,character_level_cnn_model:[1,3,24,68],characterlevelcnnmodel:[1,3,20,24,28,68],characterlevellstmmodel:1,charencodedpreprocessor:28,charloadtfmodel:23,charpostprocessor:28,charpreprocessor:[20,28],charset:68,check:[1,2,3,8,10,12,14,16,21,27,29,31,34,38,43,45,46,49,51,57,61,63,68,69,71,73],check_circular:45,check_integ:14,check_pipelin:[3,21,27,68],checkout:76,chi2:73,chi2_homogen:[49,68,73],chi2_matrix:[66,73],chi:[50,73],child:19,chip:67,choic:[4,5,8,10,15,16,18],choos:[4,27,28,72,73,75],chose:28,chosen:[73,77],chr:1,chunk:[5,12,18,45,50],chunk_siz:50,chunk_size_byt:12,cij:34,circular:45,clariti:4,class_mean:[66,73],class_nam:[22,23,24,26,28,30,44],class_prior:[66,73],class_sum:[66,73],classif:[6,20,29,34],classifi:3,classification_report:[25,29],classification_report_util:25,classmethod:[8,9,10,14,15,16,18,21,22,23,24,26,27,28,29,30,33,34,35,36,37,38,39,43,46,47,48,49,51],clean_data_and_get_base_stat:48,clean_sampled_df:48,clear:50,clear_sess:1,close:2,clsname:[22,28],cm:[49,73],cms_confid:[49,73],cms_max_num_heavy_hitt:[49,73],cms_relative_error:[49,73],cn:68,cnn:[1,6,20],code:[4,25,29,42,46,50,66,68,71,72,76],coeffici:73,col1:69,col2:69,col:[14,33,36,37,38,43,46,47,48,50,51,60,61,68,72,74],col_float:[71,74],col_int:[71,74],col_pro_compil:44,col_profil:50,col_report:1,col_typ:[33,34,36,37,38,43,46,47,51],collaps:41,collect:[29,48,50,71,74,77],color:4,column:[1,3,5,6,10,12,14,16,20,25,28,32,44,48,49,50,52,53,61,63,65,66,68,71,72,73,74,75,77],column_count:[66,71,73,74],column_ind:65,column_index:48,column_nam:[1,14,61,65,66,68,73,74],column_name_label:2,column_name_model:[2,26],column_null_valu:49,column_profile_compil:[35,48],columnar:1,columndatalabelercompil:35,columnnam:63,columnnamemodel:[2,26],columnnamemodelpostprocessor:[2,28],columnprimitivetypeprofilecompil:35,columns_nam:65,columnstatsprofilecompil:35,com:[4,5,29,42,50,67,68],combin:[1,4,10,29,50,71],come:[29,66,71],command:[2,5,66,72,74,75,77],comment:1,common:[4,49],commonli:[4,74,77],compact:[45,48,64,66,71,73,74,75,77],compani:68,compar:[29,45,47,64,72,73],compare_neg:2,compare_posit:2,comparison:[63,76],compat:[3,8,9,10,14,15,16,18,29,66,68,69,74,76,77],compen:68,compil:[1,6,32,44],complet:[49,73],complex:3,complex_nest:[4,71],complianc:29,compliant:[29,45],compon:[0,1,21,24,25,27,44,64,68,71,72,73,74,77],compos:29,compris:[68,73],comput:[25,29,71],compute_dtyp:29,compute_mask:29,compute_output_shap:29,compute_output_signatur:29,concaten:41,concern:76,conclus:63,condit:[29,49,73],conduct:[4,28],conf:[3,28,68],conf_matrix:25,confid:[1,2,3,22,23,24,26,28,30,49,68,73,75],confidence_level:[66,74],config:[29,33,34,35,36,37,38,43,44,46,47,48,49,50,51,61],configur:[29,49,59,61,73],conflict:49,confus:[25,29],confusion_matrix:25,confusion_matrix_fil:29,conjunct:76,connect:[1,21,27,29],consecut:12,conserv:73,consid:[1,12,29,30,49,51,73],consist:45,constant_initi:29,constraint:73,construct:[1,3,29,44,49],constructor:[1,29,45],contain:[1,3,4,5,8,9,10,11,12,13,14,15,16,17,18,21,22,23,24,25,26,27,28,29,30,31,33,34,36,37,41,42,44,45,47,49,50,56,57,62,65,66,68,71,73,74,77],content:[45,68],context:13,continu:[3,64,73],continuous_attribut:[64,66,73],continuous_distribut:[64,66,73],continuous_weight:4,contract_numb:2,contrast:73,control:29,conv2d:29,convent:4,convert:[3,4,12,22,25,26,28,29,30,38,43,46,51,68,72,75],convert_confusion_matrix_to_mcm:25,convert_int_to_str:12,convert_to_ner_format:28,convert_to_structured_analysi:28,convert_to_tensor:29,convert_to_unstructured_format:28,convolut:1,copi:[25,29,42,49,50],copyfileobj:72,copyright:29,core:[8,9,10,12,14,15,16,18,21,22,23,24,26,27,30,33,34,35,36,37,38,43,46,47,48,50,51,52,53],correct:[73,75],correctli:4,correl:[49,66,73,76],correlation_matrix:[66,73],correlationopt:49,correspond:[25,28,29,50,71],cost:[50,68],could:[28,29,36,64,74,76,77],count:[25,29,34,38,43,46,49,50,51,52,64,73,77],count_param:29,coupl:73,cover:[71,72,74,77],cppflag:67,cpu:50,cpu_count:50,creat:[1,2,3,11,22,27,28,29,30,39,44,50,58,63,64,68,72,73,74,75,76,77],create_glove_char:[1,24],creation:29,credit_card:[3,66],critic:19,cross:21,csv:[1,3,4,5,6,7,12,14,64,66,68,71,72,73,74,77],csv_column_nam:14,csv_data:[4,5,10,11,66,71,73],csv_file:[4,71],csvdata:[10,11,63,66,71,73],current:[3,5,14,22,23,24,26,28,29,30,64,65,66,73,74,75,76,77],custom:[29,44,45,66,71,73],cut:[4,66],d:[1,29,46,50,65,69],dai:[45,50],daili:4,dask:61,data1:[66,73,74,77],data2:[66,73,74,77],data:[0,1,6,17,20,22,23,24,25,26,29,30,32,33,34,35,37,38,39,43,44,45,46,47,48,49,50,51,52,53,56,61,63,67,70],data_and_metadata:[5,8,15],data_class:11,data_fold:[4,74],data_format:[5,8,9,10,14,15,16,18,63,77],data_gener:12,data_label:[1,2,3,27,36,49,52,66,68,71,73,74,75,77],data_label_represent:[66,74],data_labeler2:36,data_labeler_column_profil:36,data_labeler_dirpath:[49,52,68,73],data_labeler_load_attr:50,data_labeler_object:[1,49,68,73,75],data_labeler_sav:[1,68],data_length:50,data_list:12,data_object:[74,77],data_path:[64,71,74,77],data_process:[2,3,21,27,28,68,75],data_processor:[21,27],data_read:[4,5,8,9,10,11,12,13,14,15,16,17,18,39,48,66,67,71,73],data_s:50,data_split_differ:[74,77],data_stat:[1,66,68,71,73,74,75,77],data_test:[1,68],data_train:[1,68],data_typ:[4,8,9,10,11,14,15,16,18,35,49,64,66,71,72,73,74],data_type_ratio:[37,38,43,51],data_type_represent:[66,73,74],data_util:12,dataarrai:[21,22,23,24],datafram:[1,5,8,9,10,12,14,15,16,18,21,22,23,24,26,27,28,30,33,48,50,61,63,65,68,69,71,72,74,75,76,77],datalabel:[2,3,21,27,36,49,63,68,73,74],datalabelercolumn:[35,36],datalabeleropt:[36,49,50,52],datalaod:72,dataload:63,dataprofil:[1,2,3,4,5,8,9,10,11,12,13,14,15,16,17,18,19,21,22,23,24,25,26,27,28,29,30,31,33,34,35,36,37,38,39,40,41,43,44,45,46,47,48,49,50,51,52,53,57,58,59,61,63,64,65,66,67,68,69,71,73,74,75,77],dataprofiler_loader_report:72,dataprofiler_se:[58,67],dataproil:4,dataset:[3,4,5,8,9,10,14,15,16,17,18,21,29,32,33,34,36,37,38,39,43,46,47,48,49,50,51,52,61,63,64,66,67,68,71,72,73,74,75,77],datatim:72,datatyp:45,date:[3,4,50,66,68,72],datetim:[1,3,4,6,32,49,50,64,65,66,68,72,73],datetime_column_profil:37,datetimecolumn:37,datetimeopt:[37,49],dd:61,deal:68,debug:[19,29],decid:[49,73],decim:[48,73,74,77],deciph:[4,10,14],decod:[6,32,45],decor:[22,28,29],deep:66,deeper:63,def:[1,4,29,68,72],default_factori:50,default_ind:1,default_label:[1,2,23,24,27,28,30,68,75],defaultdict:50,defin:[1,5,29,46,49,65,73,75],definit:50,degre:[64,73],delet:67,delimit:[5,10,12,14,63,71,74,77],delimti:4,demo:[68,72],demonstr:[4,65,71],denot:73,dens:[1,29],depart:68,depend:[29,31,48,50,57,64,67,68],deprec:29,depth:[4,63],deriv:[1,76],descend:34,descent:29,describ:[13,21,22,23,24,25,26,27,28,29,30,39,73],descript:[4,5,64,71],deseri:44,design:[7,12,66,68,71,73,74,76,77],desir:[1,4,48,66,71,74,75,77],destin:14,destination_nod:14,detail:[2,3,4,23,24,25,48,63,71,73,74,76,77],detect:[5,8,11,12,16,63,64,66,67,71,73,74,75,76,77],detect_cell_typ:12,detect_file_encod:12,determin:[2,3,4,8,9,10,12,13,14,15,16,18,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,43,47,49,52,66,73,74,76,77],dev:67,deviat:[38,43,46,51,73],devid:71,df1:71,df2:71,df:[4,36,37,38,43,46,47,51,53,68,69,71,73],df_data:[1,68],df_result:[1,68],df_seri:[33,34,35,36,37,38,43,46,47,48,50,51,52],diamond:[4,74],dict1:50,dict2:50,dict:[2,3,4,5,8,9,10,11,12,14,15,16,17,18,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,38,39,40,41,43,44,45,46,47,48,49,50,51,52,53,61,66,71,73,74,75,77],dictat:27,dictionari:[4,5,12,15,21,24,25,27,29,33,34,35,36,37,38,41,43,45,46,47,48,49,50,51,64,66,73,74,77],did:29,diff:[33,34,35,36,37,38,39,43,46,47,48,51,52,53,64,73,74,77],diff_report:73,differ:[1,4,29,33,34,35,36,37,38,39,43,46,47,48,50,51,52,53,61,63,66,68,71,72],differenc:73,differenti:[36,64],digest:3,digit:[3,25,66,73,75],dim:24,dim_emb:[1,23,24,26,30],dimens:29,dir:29,directli:[4,29,65,66,68,71,73,74,77],directori:[22,23,24,26,30,52,68,72,73],directpasspreprocessor:[2,20,28],dirpath:[3,21,22,23,24,26,27,28,30,68],disabl:[1,26,29,33,34,35,36,37,43,46,47,49,52,66,67,68,71,72,73],discov:67,discoveri:25,discret:29,discrimin:25,discuss:4,discussion_reddit:[4,71,77],disk:[3,20,21,22,23,24,26,27,28,30,39,48,74,77],displai:[4,25,34,49,68,73],dist:67,distinct:73,distribut:[29,36,64,66,67,69,71,73],dive:[63,68],divid:76,doan:73,doc:[4,64],document:[68,74,77],doe:[25,26,29,30,44,50,64,66],doesn:[29,31,57,74,77],domin:28,don:[29,66,67],done:[21,27,29],doubl:67,down:24,download:[12,72],downstream:[29,66],dp:[1,2,3,4,5,6,64,65,66,68,69,70,71,72,73,74,75,76,77],dp_data:72,dp_datafram:72,dp_dataload:72,dp_log:19,dpi:74,drive:76,drivers_licens:[3,66],drmaciv:50,drop:[1,48,68],dropout:[1,23,24],dtype:[1,12,29,65,75],dtype_polici:29,due:[50,74,75],dummi:69,dump:[66,71,73,74,77],duplic:[50,71,74,77],duplicate_row_count:[66,71,73,74],durat:73,dure:[2,3,29,45,75,76],dynam:[29,72],e:[3,4,21,27,29,50,68,73,75],each:[3,4,12,21,22,23,24,25,27,28,29,30,34,36,38,41,45,50,64,66,68,71,72,73,74,75,77],eager:29,earlier:68,easi:[5,66,68,73],easiest:2,easili:[68,71,73,75],ecosystem:29,edg:[4,14,38,43,46,51,64,66,73],educ:68,effici:66,effort:4,eg:49,egg:67,either:[12,21,27,29,50,64,67,74,77],element:[29,38,45,73],elif:1,elimin:45,els:[1,50,71,72,74,77],email:68,email_address:[3,66],emb:24,embed:[1,24,28],embed_fil:1,embedding_dict:1,embedding_matrix:1,empti:[1,4,50,71,73],empty_line_count:[66,73,77],en:50,enabl:[29,49,66,71,73,75,76],enabled_profil:49,encapsul:[30,75],encod:[1,3,4,6,8,9,10,12,13,14,15,16,18,21,22,23,24,26,27,28,29,30,32,44,66,68,73,74,77],encoding_funct:1,encoding_map:28,end:[3,28,30,61,68,75],enron:68,ensur:[2,4,12,29,36,45,47,64,68,72,73,75],ensure_ascii:45,enter:29,entir:[4,5,8,10,15,16,73,75],entiti:[28,29,30,52,66,67,68,71,73,74,77],entity_count:[66,73,77],entity_percentag:[66,73],entity_priority_ord:28,entity_rev_dict:29,entri:[25,29,66,73],enumer:72,env:67,environ:71,epoch:[1,3,21,22,23,24,27,68],epoch_id:[3,24],equal:[2,28,49,71,73],equip:[66,73],equival:29,eras:[8,9,10,14,15,16,18],error:[1,4,19,21,27,29,36,49,50,67,68,69,71,74,76,77],error_on_mismatch:[21,27],escap:45,estim:[38,43,46,49,50,51,73],etc:[3,4,12,28,29,48,50,66,71,73,74,76,77],evalu:[1,2,3,29,75],evaluate_accuraci:29,evan:68,even:72,ever:68,everi:[12,73,74,77],ex:73,exact:[72,73],exactli:[4,29,71],examin:[8,10,15,16,18,74,77],exampl:[1,2,3,4,5,25,29,30,45,61,64,66,68,69,71,73,74,75,76,77],except:[1,2,3,4,28,29,50,64,68,69,72,74,75,77],exclud:[25,33,34,35,36,37,43,47,52],execut:[3,29,50,72],exist:[8,9,10,14,15,16,18,21,22,23,24,26,27,28,29,30,31,44,49,50,57,63,66,68,72,73],expect:[3,12,29,44,68,71,75],explicit:73,explicitli:[29,71,74,77],explor:[1,66],expon:64,express:29,exst:[2,75],extend:68,extended_report:72,extens:[4,71],extra:[1,4,10,64,68,69,74,77],extract:[22,23,24,26,30],extran:3,f1:[1,22,23,24,25,29,68],f1_report:[22,23,24,29],f1_report_dict_to_str:29,f1_score_train:1,f1score:[1,29],f:[25,29,50,57],f_1:29,f_:29,f_in:72,f_out:72,f_score:29,factor:24,factori:[11,48,50],fail:4,failur:[4,49],fake:75,faliur:4,fall:29,fals:[1,2,4,5,9,12,13,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,38,39,43,45,46,47,48,49,51,52,53,64,66,68,71,72,73,74,75,77],false_positive_dict:2,fashion:61,fbeta_scor:25,fbetascor:29,fd:73,featur:[71,73],fed:48,feed:68,fetch:14,few:[66,68],field:4,fig:[65,74],figsiz:74,figur:[38,65,73,74],file:[1,5,8,9,10,11,12,13,14,15,16,17,18,19,20,21,24,27,29,39,42,48,62,63,64,67,68,71,72,74,76,77],file_a:[66,73],file_b:[66,73],file_encod:[4,8,9,10,12,14,15,16,18],file_object:12,file_path:[8,10,12,14,15,16,18],file_typ:[66,71,73,74,77],filenam:[24,68,74,77],fileorbufferhandl:13,filepath:[4,6,7,19,39,48,64,73,74,77],filepath_or_buff:13,fill:1,filter:[2,29],final_confid:3,final_predicted_lay:1,final_result:3,finalize_st:29,find:[12,14,25,29,33,34,35,38,39,43,46,48,50,51,52,53,66,73],find_diff_of_d:50,find_diff_of_dict:50,find_diff_of_dicts_with_diff_kei:50,find_diff_of_lists_and_set:50,find_diff_of_matric:50,find_diff_of_numb:50,find_diff_of_strings_and_bool:50,find_nth_loc:12,finetun:4,first:[1,2,4,10,15,29,36,50,64,65,66,68,71,72,73,74,75],first_dict:50,fisher:50,fit:[1,3,21,22,23,24,29,36,68],fix:[26,30],flag:[1,2,3,21,22,23,24,26,27,28,30,33,34,35,36,37,43,47,48,49,52],flat:[48,73,74,77],flat_dict:41,flatten:[28,41,48,73,74,77],flatten_separ:28,flatten_split:28,flattened_datafram:[5,15],flight_delai:72,flight_delays_ful:72,flight_delays_mini:72,float16:29,float32:29,float64:[38,43,46,50,51],float_column_profil:38,floatcolumn:38,floatopt:[38,49],flow:2,fly:29,focu:4,fold:[38,43,46,51],folder:[1,2,67,68],follow:[1,3,4,5,19,20,21,25,27,28,29,50,64,65,68,71,72,73,74,77],foo:45,form:[12,29,67],formal:50,format:[1,3,4,5,8,9,10,14,15,16,18,21,24,25,27,28,29,36,37,44,47,48,49,68,71,72,73,74,75,77],former:71,foudn:75,found:[5,29,36,50,68,73,75],four:[48,73,74,77],fp:4,frac:[1,29,68],frame:[8,9,10,12,14,15,16,18,21,22,23,24,26,27,30,33,35,50,76],framework:29,free:29,frequenc:[49,73],frequent:[34,73],fri:68,fridai:68,from:[1,2,3,4,5,8,10,12,13,14,15,16,17,19,20,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,38,39,42,43,44,45,46,47,48,49,50,51,53,63,66,69,71,72,73,74,75,76,77],from_config:29,fromkei:50,fscore:25,full:[29,49,66,67,71,73,74,77],fulli:[1,73],func:[19,25],funciton:75,funky_on:2,funky_thre:2,funky_two:2,further:[5,74,77],futur:[63,76],g:[4,29,34,50,68,73,75],g_1:50,g_2:50,game:4,gamma:64,gather:[49,71],gaussian:4,gca:74,gener:[1,8,9,10,12,14,15,16,18,28,29,33,35,36,37,40,41,47,48,49,50,55,56,58,64,66,71,72,73,74,75,77],generate_pool:50,generator_on_fil:12,get:[1,3,8,9,10,14,15,16,18,22,23,24,26,28,29,30,38,43,45,46,50,51,61,65,67,68,71,72,74,75,77],get_batch_gener:[8,9,10,14,15,16,18],get_build_config:29,get_child_logg:19,get_class:[22,23,24,26,28,30],get_column_profiler_class:44,get_compiler_class:44,get_config:29,get_delimiter_regex:12,get_figur:65,get_input_at:29,get_input_mask_at:29,get_input_shape_at:29,get_logg:19,get_memory_s:50,get_option_class:44,get_output_at:29,get_output_mask_at:29,get_output_shape_at:29,get_paramet:[22,23,24,26,28,30],get_profiler_class:44,get_random_number_gener:58,get_structured_col_profiler_class:44,get_structured_result:[1,68],get_tf_layer_index_from_nam:29,get_unstructured_result:68,get_weight:29,gini:34,gini_impur:[34,66,73],git:67,github:[1,2,4,29,42,64,67,68,69,71,72,74,75,76,77],githubusercont:4,give:[4,28,31,57,71,75],given:[1,3,4,8,10,11,12,13,16,19,21,22,23,24,26,27,28,29,30,31,32,35,44,45,48,50,57,61,66,67,68,71,73,74,75,77],global:[25,64,66,73],global_max_component_s:[64,66,73],global_stat:[66,71,73,74,75,77],glove:[1,24],go:68,godbol:25,good:[4,72,74],govern:29,grab:73,gradient:29,gradienttap:29,graph:[3,4,5,6,7,31,32,48,55,57,63],graph_data:[4,11,14,39],graph_data_csv_identifi:[4,64],graph_fil:[4,66],graph_func:57,graph_keyword:14,graph_profil:39,graphdata:[11,14,39,63,64],graphopt:39,graphprofil:[4,39,48,64],greater:[1,2,29,73],green:4,ground:63,group:[12,40,41,49,50,73],guarante:45,guess:68,guid:25,gz:72,gzip:72,ha:[3,4,8,10,14,15,16,25,28,29,30,36,44,46,50,68,71,73,74,77],half:71,hall:4,halv:71,handl:[3,12,13,29,71],happen:[4,29],harmon:29,hasattr:29,hash:[3,49,66,73],hash_or_kei:[3,66],hashing_method:[49,73],have:[3,4,12,15,21,22,23,24,26,27,28,29,30,36,50,61,64,66,67,68,71,72,73,75,76],head:[1,4,66,68,71,73],header:[5,10,12,14,16,63,71,74],heard:68,heavi:73,help:[2,3,21,22,23,24,26,27,28,30,68,75],helper:[6,32,50,68],henc:29,here:[2,4,22,29,42,50,68,71,72,74,75,76],hide_tf_logger_warn:29,high:74,higher:[28,29],highest:[49,73],histogram:[6,32,38,43,46,49,51,64,66,71,73,74],histogram_and_quantil:[49,71,73],histogram_bin_method_nam:51,histogram_method:51,histogram_select:51,histogramandquantilesopt:49,histori:[22,23,24],hitter:73,hll:[49,73],homebrew:67,homogen:[50,73],honeypot:[1,68],honeypot_intentially_mislabeled_fil:[4,71],host:4,how:[2,3,4,5,10,22,29,34,45,61,63,64,65,68,73,75,76],howev:[3,4,71,73,74,75],html:[4,64,72],http:[4,5,29,42,50,64,67],human:[68,73],hyperloglog:49,hyperloglogopt:[49,73],i:[3,4,21,27,29,34,67,68,74,77],id:68,id_count:12,idea:[2,50],ideal:4,ident:3,identif:[12,30],identifi:[5,14,30,46,48,60,61,66,68,73,74,77],ideolog:25,idx:12,ie:73,iff:50,ignor:[12,25,29,75],ignore_cas:75,ignore_consecut:12,ignore_dict:12,illustr:[3,4],iloc:71,imbal:25,impact:[26,30,35,48],implement:[4,12,14,29,63,64],impli:29,importerror:[2,4,64,68,69,72,74,75,77],impos:[38,43,46,51],improp:49,improv:[68,72],impur:34,inbound:29,inbound_nod:29,includ:[1,2,21,23,24,25,27,29,49,67,71,74,75,76,77],include_label:2,incom:[29,45],incompat:[29,76],incorrect:[4,34],incorrectli:[4,71,73],increas:74,ind:72,indent:[45,66,71,73,74,77],independ:29,index:[1,3,5,12,14,21,22,23,24,26,27,28,29,30,47,48,50,65,73,74],indic:[1,22,23,24,25,26,29,30,48,50,73],indici:73,individu:[4,12,38,43,47,51,67,68,71,75],infer:[29,71,73,74],infin:45,infinit:45,info:[8,9,10,14,15,16,18,19,29,68,76],inform:[3,4,29,64,68,71,73,74,76,77],ingest:[3,74,77],inherit:[1,21,68],init_scop:29,initi:[1,3,8,9,10,12,13,14,15,16,17,18,21,22,23,24,26,27,28,29,30,33,34,35,36,37,38,39,43,46,47,49,50,51,52,53,61],inplac:[28,66,73],input:[1,3,4,8,9,10,11,12,13,14,15,16,17,18,21,22,23,24,25,26,27,28,29,49,50,64,68,71,73,74,77],input_file_path:[4,5,8,9,10,11,14,15,16,17,18],input_length:1,input_mask:29,input_shap:[1,29],input_signatur:29,input_spec:29,input_str:[1,30],inputspec:29,insert:[1,2,4,29,45,50,64,66,68,69,71,72,74,75,77],insid:[29,66,73,74,75,76,77],instal:[31,57,63,65,66],instanc:[19,21,25,27,29,34,44,73],instanti:[29,48,61,69],instead:[8,9,10,14,15,16,17,18,21,25,27,29,68],insturl:68,int64:[50,51],int_column_profil:43,intcolumn:43,integ:[1,2,3,14,23,24,28,29,30,38,43,45,46,51,65,66,68,73,75],integr:[29,63,76],intel:67,intend:72,intent:4,intention:4,intentionally_mislabled_fil:[4,71],interchang:68,interept:4,interest:[1,71],intern:[25,27,29,50],interpol:[38,43,46,51],interpret:[3,4],intopt:[43,49],intro:[63,73],introductori:71,invalid:1,investig:68,invoc:29,invok:29,involv:68,io:4,ipv4:[3,66],ipv6:[3,66],iri:[4,74],is_case_sensit:[49,73,77],is_en:[1,49,50,66,68,71,72,73,74,77],is_float:[38,43,46,51],is_in_list:61,is_in_rang:61,is_int:[38,43,46,51],is_match:[8,9,10,14,15,16,18,34,63],is_numeric_stats_en:[49,73],is_pred_label:28,is_prop_en:49,is_separate_at_max_len:28,is_stream_buff:13,is_structur:[8,9,10,14,15,16,18],is_valid_url:12,isdir:[2,75],isinst:1,isn:29,issu:[66,76],item:[1,12,45,50,61,68],item_separ:45,iter:[3,12,21,22,26,29,30,50],iterencod:45,its:[1,3,4,21,25,27,29,46,48,61,66,73,75],itself:[5,34,38,43,46,51],ivar:49,j:[4,34],javamail:68,javascript:45,john:68,join:[1,4,8,15,28,41,64,71,72,74,77],js:29,jsmith:68,json:[1,2,3,4,5,6,7,12,16,32,33,34,35,36,37,38,43,46,47,48,49,51,66,68,69,71,72,73,74,75,77],json_data:[8,11,15,71],json_decod:44,json_encod:[44,45],json_fil:[4,71],json_lin:12,json_to_datafram:12,jsondata:[4,8,11,15,71],jsonencod:45,jsonifi:45,jsontyp:12,jupyt:71,just:[5,71,73,74,75,77],k:[34,50],kader:34,keep:[29,68],kei:[4,5,8,12,15,21,27,28,39,41,45,48,50,66,73,74,76,77],kera:[1,29],kernel:29,kernel_initi:29,key_separ:45,keydict:50,keyerror:50,keyword:[14,29],kind:[11,29],know:72,knowledg:25,known:[25,72],kurtosi:[38,43,46,49,50,51,64,66,73],kwarg:[11,22,23,24,26,28,29,30,47,50],l211:29,l283:29,l:[29,67],label1:3,label2:3,label:[0,1,6,22,23,24,25,26,28,30,31,32,48,49,50,63,67,70,71,72,73,74,77],label_1:30,label_1_pattern_1:30,label_1_pattern_2:30,label_2:30,label_2_pattern_1:30,label_2_pattern_2:30,label_df:68,label_encod:52,label_map:[1,2,21,22,23,24,26,27,28,30,68,75],label_nam:[3,29],label_represent:[36,73],labeled_data:68,labeler_class:27,labeler_from_librari:2,labeler_funct:31,labeler_typ:[1,3,27,68],labeler_util:[1,29],labler:[66,67],lack:50,lambda:[1,29],languag:29,larg:71,largest:64,last:[4,12,50,65,68,71,73,74],later:[4,29,66,74,77],latter:71,law:29,layer:[1,29],layer_a:29,layer_b:29,layer_nam:29,lazi:50,learn:[63,66],least:[15,73],left:73,leftov:28,legaci:76,len:[1,4,29,68,71,74,77],length:[4,8,9,10,12,14,15,16,18,28,50,64],less:[12,50,72,73],let:[1,2,64,68,69,71,74,75,77],letter:75,level:[3,6,19,20,22,23,26,28,30,41,45,49,63,65,66,68,71,73,74],lib:[19,67],libarari:72,librari:[1,2,3,21,27,28,63,64,66,68,71,75,76],libsnappi:67,licens:[29,42],lifo:50,like:[1,3,24,25,29,41,50,64,71,73,74,77],likelihood:[34,64,73],limit:29,line:[4,10,12,15,18,66,68,71,73],linst:76,linux:67,list:[1,2,3,4,5,8,9,10,11,12,14,15,16,18,20,21,22,23,24,25,26,27,28,29,30,31,34,36,38,43,45,46,48,49,50,51,52,57,61,63,64,65,66,68,71,73,74,75,76,77],list_of_necessary_param:1,list_of_profil:[50,69],live:29,ll:[68,72],load:[1,5,6,8,9,10,12,13,14,15,16,17,18,20,21,22,24,26,27,28,29,30,33,34,35,36,37,38,39,43,44,46,47,48,49,50,51,63,72],load_as_str_from_fil:12,load_attr:50,load_column_profil:44,load_compil:44,load_from_dict:[33,34,35,36,37,38,43,46,47,48,49,51],load_from_disk:[2,3,21,22,23,24,26,27,28,30,75],load_from_librari:[20,21,27,28,63,75],load_method:[48,73],load_model:29,load_opt:[21,27,44],load_own_vari:29,load_profil:44,load_structured_col_profil:44,load_with_compon:[21,27,63],loadabl:23,loaded_json_profil:73,loaded_pkl_profil:73,loaded_profil:[74,77],loader:72,loc:[12,64,73],local:67,locat:[4,10,14,21,24,27,48,71,73,74],log:[6,64,68,69,70,73,74,77],logger:[19,29],loggin:[68,69,74,77],logic:[12,29],logist:64,lognorm:64,look:[63,64,68,69,74,75,77],lookup:29,loop:[27,29],loss:[1,29],low:65,lower:75,lower_memory_sketch:[49,73],lowercas:75,lowercase_char:75,lowest:28,lst:50,lstm:63,m1:29,m2:29,m:[3,5,12,29,34,50,67],mac_address:[3,66],machin:[71,74,77],macklemor:3,maco:67,macro:[25,29],made:25,mai:[4,5,8,10,15,16,18,29,49,71,74,77],mail:68,main:[0,1,3,4,25,42,65],maintain:3,major:[25,68],make:[1,3,29,46,66,68,71],makedir:[1,68,72],manag:13,mani:[4,5,10,22],manipul:[74,77],manner:[4,66,73],manual:[4,29,58],map:[1,2,3,22,23,24,26,28,30,36,48,49,68,73,75],margin_of_error:[66,74],mari:68,mask:29,match:[9,12,21,25,27,29,30,37,38,43,51,64,74,75,77],match_count:[37,38,43,51],match_sentence_length:28,math:72,math_op:29,mathemat:[4,12],matmul:29,matplotlib:[65,71,74],matric:50,matrix1:50,matrix2:50,matrix:[1,25,29,49,50,66,73,74],max:[22,23,24,26,29,30,37,49,50,51,64,66,71,73,74],max_byt:12,max_char_encoding_id:[1,23,24],max_histogram_bin:51,max_k_mod:49,max_length:[1,23,24,26,28,30,68],max_lin:12,max_num_char:[26,30],max_pool_s:50,max_sample_s:[49,73,74],max_sample_size_to_check_stop_condit:[49,73],maximum:[12,28,49,73],mayb:9,mb:[66,73],mcm:25,mcm_:25,md5:[3,66],mean:[25,29,38,43,46,51,64,65,66,67,68,71,73,74,77],meant:29,measur:[50,73],mechan:[3,4],median:[38,43,46,49,51,66,71,73],median_abs_devi:[38,43,46,51,71,73],median_absolute_devi:[66,73],meet:4,melt:[1,68],member:45,memori:[1,5,8,10,15,16,18,50],memory_s:[66,73],mention:[4,68],merg:[29,50,63],merge_profile_list:[50,69],merge_st:29,messag:[50,68],met:73,meta:76,metadata:[5,8,15,29,33,34,36,37,38,43,46,47,51],method:[2,3,4,22,25,28,29,34,36,37,44,46,47,48,49,50,71,73,74,77],method_timeit:50,metric:[1,25,29,49,73],metric_1:29,metric_2:29,micro:[1,25,29],might:[64,68],millisecond:73,mime:68,min:[29,37,48,49,51,66,71,73,74],min_histogram_bin:51,min_sample_s:48,min_true_sampl:[48,73],mind:68,mine:25,mini:72,minimum:[36,48,49,73],mirror:73,mismatch:[21,27,74],miss:[31,46,50,57,74],mix:29,mixed_precis:29,mixin:[6,7,38,43,49],mkdir:[2,75],ml:[66,67,68],mock:76,mod:29,mode:[13,28,29,38,43,46,49,51,66,71,73],model:[6,20,21,27,28,29,46,48,61,63,66,68,73,75],model_path:23,model_predict:3,model_result:[3,68],modeopt:49,modif:1,modifi:[28,29,42,71],modul:[19,25,27,29,31,57,70],module_nam:[31,57],monitor:66,monti:4,more:[2,4,9,25,28,29,36,63,64,66,68,71,72,73,74,76,77],most:[34,45,74,77],move:29,mro:[22,28],much:73,multi:[21,22,23,24,25,26,27,29,30],multiclass:25,multilabel:25,multilabel_confusion_matrix:25,multipl:[3,8,9,10,14,15,16,17,18,29,61,65,67,68,71,73,74,75,77],multiprocess:[35,48,50,73],multiproess:50,must:[1,3,5,19,21,22,23,24,27,28,29,36,48,73,74,75,77],my:[3,4,73],my_datafram:[66,71,73,74],my_graph:66,my_home_address:2,my_label:68,my_metric_lay:29,my_modul:29,my_new_regex_label:75,my_profil:[73,74,77],my_text:66,mydata:4,mylay:29,mymetriclay:29,mymodul:29,mysocket:45,n:[1,3,4,5,12,14,26,28,30,34,68,71,73],n_dim:24,n_label:25,n_output:25,n_sampl:25,n_unique_label:25,na:68,name:[1,4,6,14,19,20,21,25,27,28,29,31,33,34,35,36,37,38,43,44,46,47,49,50,51,53,57,63,64,65,66,67,68,71,73,74],name_scop:29,nan:[12,45,49],nation:[4,71],ndarrai:[21,22,23,24,25,26,27,28,30,36,48,50],ndim:29,nearest:28,nearli:3,necessari:[1,64,69],need:[1,2,3,12,19,21,22,23,24,26,29,30,49,50,64,66,68,71,72,74,75,76,77],neg:[25,38,43,45,46,50,51,64,73],negative_threshold_config:2,ner:[3,28,68],nest:[5,29,41,48,50,73,74,77],network:[1,29],networkx:[4,5,14,39,64],neural:1,new_column_name_label:2,new_data:[66,73,74,77],new_label:[3,68],new_profil:64,new_report:64,newlin:45,next:[1,4,68,72,74,77],nice:29,nmodel:[2,75],node:[14,29,64,73],node_id_dst:4,node_id_src:4,node_index:29,non:[1,28,29,45,48,68,73],non_csv_fil:4,non_trainable_vari:29,non_trainable_weight:29,none:[1,5,6,8,9,10,11,12,13,14,15,16,17,18,21,22,23,24,25,26,27,28,29,30,31,33,34,35,36,37,38,39,43,44,45,46,47,48,49,50,51,52,53,57,61,65,66,67,68,72,73,74,76,77],noqa:72,nor:29,norm:64,normal:29,normal_csv_fil:73,normal_text_fil:73,not_my_address:2,note:[1,3,12,25,29,42,51,67,73,74,75,77],notebook:[1,2,4,64,68,69,71,72,74,75,76,77],noth:36,notic:[4,64,73,75],notimplementederror:[45,48],notset:19,now:[29,64,68,69,75],np:[1,12,21,22,23,24,25,27,28,29,38,43,46,48,50,51,66],np_type_to_typ:[38,43,46,51],npt:28,nth:12,null_count:[49,66,73,74,76],null_perc:76,null_replication_metr:[49,66,73],null_typ:[66,73,74],null_types_index:[66,73,74],null_valu:[48,49],num_class:[1,29],num_cols_threshold:50,num_edg:[64,66,73],num_fil:[23,24],num_label:[1,22,23,24,26,29,30],num_lin:4,num_neg:[49,51,66,73],num_nod:[64,66,73],num_quantil:[49,73],num_quantile_group:[40,41,73],num_rows_threshold:50,num_sampl:28,num_zero:[49,51,66,73],number:[1,3,12,21,22,23,24,25,27,28,29,40,41,48,49,50,58,61,62,64,66,68,71,73,74,76,77],numer:[6,29,32,38,43,49,65,73,74],numeric_stats_dis:[49,73],numerical_column_stat:[38,43,46,51],numericalopt:[46,49],numericaloptionst:49,numerican:49,numericstatsmixin:[38,43,46,51],numericstatsmixint:[43,46],numpi:[1,12,21,22,23,24,26,27,28,29,30,36,38,42,43,46,48,50,51,58,66],nx:39,o:[14,45,68],object:[1,4,5,9,11,12,13,17,21,22,27,28,29,35,39,41,44,45,46,48,49,50,52,53,61,65,66,68,69,71,73,74,75,76,77],observ:[34,64],obtain:[29,71],occur:[12,34,61,68,73],occurr:[12,25,73],od:41,off:[4,49,66,71,73,74,75,77],offic:68,offset:13,often:[29,34,73],older:67,omit:29,omit_kei:75,omitted_label:29,on_read:29,onc:[1,4,73,74,77],one:[1,3,5,12,19,25,29,34,35,48,66,67,68,71,72,73,74,75,76,77],ones:[29,68,73],onli:[2,4,5,8,10,14,15,16,18,22,25,29,45,50,61,65,66,68,71,72,73,74,75,76,77],op:29,opeid6:68,open:[4,12,13,66,68,72],open_method:13,oper:[66,73,74,77],opportun:28,opt:67,optim:[1,23,24,73],option:[1,2,3,5,6,8,9,10,11,12,13,14,15,16,17,18,21,23,24,25,26,27,28,29,30,32,33,34,35,36,37,38,39,43,44,46,47,48,50,51,52,53,61,63,64,65,66,68,72,75,76],order:[1,3,6,22,23,24,25,26,28,29,30,32,34,35,36,49,50,66,68,74,75],order_column_profil:47,ordercolumn:[35,47],ordereddict:48,orderopt:[47,49],ordin:[3,66],org:[29,50,64],origin:[4,12,24,28,29,40,41,68,71,72],os:[1,2,4,64,66,68,69,71,72,74,75,77],oth:75,other:[1,2,23,24,29,35,66,68,71,73,75,76],other_profil:[33,34,36,37,38,39,43,46,47,48,50,51,52,53],otherwis:[9,25,28,36,45,49,50,73],otuput:75,ou:68,our:[64,65],out:[1,2,3,5,12,29,50,68,69,73,76],outbound_nod:29,output:[1,2,3,5,12,14,21,25,27,28,29,36,37,39,45,47,48,50,52,53,64,68,72,73,74,75,77],output_dict:25,output_format:[3,28,48,66,68,71,73,74,75,77],output_mask:29,output_shap:[1,29],over:[4,21,61],overal:[29,71,74,77],overlap:50,overrid:[3,29,44,48,49],overridden:29,overview:63,overwrit:[49,68],own:[1,29,68,73],p:[34,67,73],packag:[6,7,29,32,40,55,60,62,66,67,69],pad:[1,28,29,68],pad_label:[1,28],page:[73,76],pair:[21,27,50],panda:[1,2,5,8,9,10,12,14,15,16,18,21,22,23,24,26,27,28,30,33,34,35,36,37,38,43,46,47,48,50,51,52,53,61,63,65,68,69,71,72,74,75,76,77],paradigm:76,param1:3,param2:3,param3:3,param:[1,8,10,16,21,22,27,29,33,34,35,36,37,38,43,44,46,47,48,49,51,61],param_list:[22,23,24,26,28,30],paramet:[1,3,4,5,8,9,10,11,12,13,14,15,16,17,18,19,21,22,23,24,25,26,27,28,29,30,31,33,34,35,36,37,38,39,40,41,43,44,45,46,47,48,49,50,51,52,53,57,61,63,64,68,73,75],parameter:29,parametesr:[2,75],parent:[21,33],parq:4,parquet:[4,5,6,7,12,66,67,71,73,74,77],parquet_data:[11,16,66,71,73],parquet_fil:[4,71],parquetdata:[4,11,16,66,71,73],pars:[33,34,35,36,37,38,43,46,47,48,49,51],parse_d:72,part:[29,38,43,46,51,66],partial:[29,61],particular:[1,2,12,71],particularli:[74,77],partit:[50,73],pass:[2,3,5,8,10,12,14,15,16,18,29,69,76],patch:76,path:[1,2,3,4,5,8,9,10,12,13,14,15,16,17,18,21,22,23,24,26,27,28,30,39,48,52,64,68,69,71,72,73,74,75,76,77],pattern:[12,30],pattern_dict:30,payload:[5,15],payload_kei:[5,15],pb:1,pd:[1,2,4,12,21,22,27,28,48,61,65,66,68,69,71,72,73,74,75,77],pdt:68,peek:[74,77],per:[3,18,25,29,66,68,75],percent:15,percentag:[52,73],percentil:73,percis:49,perform:[1,25,29,50,68,73,76],perform_chi_squared_test_for_homogen:50,permiss:29,perri:34,person:[3,66,68],pertain:[5,8,9,10,14,15,16,17,18],phone:68,phone_numb:[3,66],pickl:[48,73,74,77],piec:68,pii:66,pip3:[67,72],pip:[65,66,67],pipelin:[3,21,27,63,66,68],pkl:[64,73,74,77],place:[28,45,48,72,73,74,75,77],plain:[4,68,71],pleas:[3,66],plethora:71,plot:74,plot_col_histogram:65,plot_col_missing_valu:65,plot_histogram:[65,74],plot_missing_values_matrix:[65,74],plt:[71,74],plug:1,pm:[68,72],pm_data:72,pm_stability_report:72,point:[5,25,66,73,74,77],polar:76,polici:29,pool:[35,48,50,73],pool_count:50,pop:[35,38,39,46,50,51,53],popitem:50,popmon:63,popmon_dataload:72,popmon_loader_report:72,popmon_output:72,popmon_tutorial_data:72,popoul:73,popul:[33,34,35,36,37,38,43,46,47,48,49,50,51,76],pos_label:25,posit:[2,3,25,29,38,43,46,51,64,68],positive_threshold_config:2,possibl:[2,3,5,8,10,14,15,16,18,23,24,26,30,36,50,66,73,74,75,77],possible_data_label:36,post:[2,4,75],postprocesor:75,postprocess:28,postprocess_char_level:[66,73,77],postprocessor:[1,2,20,21,27,28,63,68,73],potenti:[29,35,38,50,51,53],pp:[25,34,64],pprint:[2,64,66,74,75,77],pr:76,pre:[1,28,49,63,66,73],precis:[25,29,38,49,50,66,68,73,74],precision_recall_fscore_support:25,precisionopt:49,pred:[3,25,28,68],predict:[1,3,21,22,23,24,26,27,28,29,30,32,36,63,66,71,73,74,77],predict_opt:[2,3,21,27,68,75],predicted_entities_in_index:29,prefer:73,preivous:4,premium:4,prep:68,prepar:[4,68],preprocess:28,preprocessor:[1,2,20,21,27,28,68],present:[1,25,46,50,73],preset:[49,73],pretti:[12,45,48,66,71,73,74,77],prettifi:[48,66,73,74,77],prettyprint:[64,66],prevent:45,previou:[29,64,73,75],previous:4,price:4,prim:33,primari:[74,77],primit:[35,73],princip:24,print:[1,2,3,4,12,21,22,23,24,26,27,29,30,45,66,68,71,72,73,74,75,77],printer:66,printout:[29,72],prior:[12,31,57,74,76,77],prioriti:28,priority_ord:28,priority_predict:28,privat:[34,36,37,47],privileg:68,probabl:[34,36,48,49,73,74,75],process:[1,3,6,12,20,22,26,50,61,71,73,74,75,77],processor:[2,3,20,21,27,28,68],processor_param:1,processor_typ:28,produc:[29,50],profil:[0,1,2,3,4,6,7,40,41,44,45,46,63,65,67,68,70,72],profile1:[66,71,73,74,77],profile2:[66,71,73,74,77],profile3:[66,73,74,77],profile_build:[48,50,65],profile_ful:71,profile_merg:71,profile_opt:[1,68,71,73,74,75,77],profile_schema:[66,73],profileencod:45,profiler_opt:[35,46,48,49,52,72],profiler_test:[74,77],profiler_train:[74,77],profiler_typ:[48,66,71,73,74,77],profiler_util:[50,69],profilerencod:45,profileropt:[1,39,48,49,68,71,72,73,74,75,77],prop:[49,64],propag:29,proper:[11,72],properli:[12,49,72],properti:[4,5,8,9,10,14,15,16,18,21,22,23,24,26,27,29,30,33,34,35,36,37,38,39,43,46,47,48,49,51,52,53,63,64,66,71,73,74,77],proport:73,protect:29,protected_register_keras_serializ:29,proto:4,protocol:[47,50],provid:[1,2,4,27,29,32,40,48,50,63,64,65,66,68,69,71,73,74,77],pseudo:[74,77],psi:73,pst:68,pull_rul:72,purpos:[2,74,77],put:28,py3:67,py:[29,67],pypi:[66,67],pyplot:[71,74],pytest:67,python3:67,python:[29,38,43,45,46,51,66,67,73],quadratur:4,quantil:[40,41,49,51,66,73,74],quantiti:[3,66],queri:12,question:[73,76],quick:[68,74],quickli:[2,74,77],quot:[4,10,14],quotechar:[10,12,14,63],r:[13,30,67,75],rag:28,rais:[1,4,12,25,29,36,44,45,48,49,50,71],raise_error:49,random:[3,4,28,29,34,48,58,66,68,72,73,75],random_st:[28,68],randomli:[28,73,75],rang:[1,14,29,61,73,74,77],rank:[29,36],rank_distribut:36,rare:[66,73],rather:[29,75],ratio:[1,34,37,38,43,49,51,71,73,74],raw:[4,68],rb:72,re:[29,48,49,68],reach:[4,73],read:[1,5,8,10,11,12,13,14,15,16,18,25,63,66,71,72,73,74,76,77],read_csv:72,read_csv_df:12,read_in_str:12,read_json:12,read_json_df:12,read_parquet_df:12,read_text_as_list_of_str:12,readabl:[13,25,50,68,73],readable_report:[66,73],reader:[0,1,6,12,63,66,68,70,72,73],readlin:4,real:68,reason:[29,74,77],rec_dropout:1,recal:[25,29,68],receiv:[25,29,75],recipi:68,recision_recall_fscore_support:25,recognit:[3,66,67,68,73],recommend:[29,50],reconstruct:[1,3,68],record:[4,5,8,10,15,16,50,77],record_samples_per_lin:[4,10],recurr:1,recurrent_activ:1,recurrent_dropout:1,recurs:[29,45,50],recursionerror:45,recursive_dict_upd:50,red:4,reduc:[1,50],reduce_max:29,reduce_mean:29,reduce_min:29,reduce_sum:29,redund:49,refact:76,refer:[3,25,29,34,45],referenc:[25,73],refit:21,reflect:29,regard:68,regardless:71,regex:[6,12,20,28,48,63],regex_model:[20,30,75],regex_pattern:[30,75],regexflag:[48,49],regexmodel:[20,30],regexpostprocessor:[20,28,75],regist:[22,28,29,49,73],register_count:[49,73],registr:22,regress:45,regular:29,reinstanti:61,reject:50,rel:12,relat:[42,71,74],relev:[23,24,73],reload:[8,9,10,14,15,16,18,63],reload_labeler_from_options_or_get_new:50,relu:1,remain:28,remot:76,remov:[2,46,48,50,67,68,69,71,73,74,77],remove_disabled_flag:[33,34,35,36,37,38,39,43,46,47,48,51,52,53],replac:[1,8,9,10,14,15,16,18,30,63,73],replic:[49,73],replica:29,repo:[67,76],report:[1,6,20,29,32,33,34,35,36,37,38,39,40,43,46,47,48,51,52,53,56,57,63,64,65,66,68,69,70,71,75],report_dp_load:72,report_ful:71,report_help:41,report_merg:71,report_opt:[48,66,71,73,74,77],report_output_dir:72,report_pm_load:72,repres:[12,29,34,36,37,38,43,44,46,47,48,51,64],represent:[12,44,45],reproduc:73,request:4,requir:[1,3,4,26,28,29,30,48,49,50,65,66,67,68,73,74,75,77],require_modul:[31,57],requires_zero_map:[1,22,23,24,26,30],rerun:67,reserv:[1,29],reservoir:[5,12],reset:[1,21,22,23,24,26,29,30,66],reset_index:[1,68],reset_st:29,reset_weight:[21,22,23,24,26,30,68],resolut:[22,28],resolv:67,resourc:[2,29,50,72],respect:[46,48,50,61,65,68,73,75],respons:[5,73],rest:[29,64,75],restor:29,result:[1,2,3,25,28,29,35,48,50,61,66,68,71,73,74,75],reth:76,retrain:[3,68],retriev:[21,22,23,24,26,27,28,29,30,44,73],return_sequ:1,reus:[3,29,50],revers:[22,23,24,26,29,30,36],reverse_label_map:[21,22,23,24,26,27,30,36],review:[3,74],rice:[71,73],right:29,rng:[6,70],rng_util:58,role:2,round:[25,48,73,74,77],row:[3,4,5,10,12,49,50,66,68,71,73,74],row_count:[66,71,73,74],row_has_null_ratio:[66,73,74],row_is_null_ratio:[66,71,73,74],row_statist:[49,73],rowstatisticsopt:49,rsampl:12,rtype:[12,28,29,36,37,38,43,46,47,49,50,51],rule:[29,63],run:[2,3,22,23,24,29,31,49,57,61,63,64,67,68,71,72,74,75,76,77],runtim:[48,73,74],runtimeerror:29,s3:76,s:[1,2,3,5,12,22,28,29,38,41,43,46,49,50,51,63,64,65,68,69,73,74,76,77],safe:29,sai:[36,66,67],said:[28,74,75,77],sake:[1,68],sale:68,same:[1,3,4,12,21,22,23,24,25,26,27,28,29,30,36,49,50,64,66,71,72,73,74,77],same_a:[3,21,22,23,24,26,27,30],sampl:[1,3,5,12,18,21,22,23,24,25,28,36,37,38,43,48,49,50,51,66,68,71,74,75,77],sample1:71,sample2:71,sample3:71,sample_arrai:73,sample_count:76,sample_id:48,sample_in_chunk:50,sample_nrow:[5,10,12],sample_ratio:[49,73],sample_s:[33,34,36,37,38,43,46,47,48,51,66,71,73,74],sample_size1:50,sample_size2:50,sample_skew:50,sample_weight:[25,29],samples_per_lin:[5,18],samples_per_upd:[48,73],samples_us:[66,73,74,77],sampling_ratio:[48,49,73],sarawagi:25,satisfi:73,save:[3,8,9,10,15,16,18,21,22,23,24,26,27,28,29,30,39,48,63,72,76],save_dirpath:[1,3,27,68],save_method:[48,73],save_own_vari:29,save_to_disk:[1,2,3,21,22,23,24,26,27,28,30,68,75],saved_label:[2,75],savedmodel:29,saw:68,scalar:29,scale:[64,66,73],scan:68,schema:[66,73,74,77],schooldatasmal:[68,77],scipi:64,scope:29,score:[1,25,26,29,68],scott:73,scratch:63,sdist:67,seaborn:65,search:[12,29],search_queri:12,search_str:68,second:[1,36,50,66,71,75],second_dict:50,secondari:76,section:[1,4,66,68,69,71,73,74,77],see:[2,25,29,44,49,61,64,66,67,71,72,73,74,75,77],seed:[6,49,58],seek_offset:13,seek_whenc:13,seem:49,seemlessli:72,seen:36,select:[5,8,10,15,16,18,28,35,63,73,77],selected_column:[4,5,10,12,16],selected_data_typ:35,selected_kei:[5,8,15],self:[1,29,33,34,35,36,37,38,39,43,46,47,48,49,51,53],send:[21,49,68,73],send_address:2,sensibl:45,sensit:[25,49,66,67,71,73,75,76],sent:[1,21,68,73],sentenc:[4,28,29,77],separ:[12,28,41,45,69,71,75,76],seper:[41,74,77],sequenc:29,sequenti:[1,71],serach:75,seri:[12,21,22,23,24,26,27,30,34,35,36,37,38,43,46,47,48,50,51,52,53,65,66,74,77],serial:[29,44,45],serializ:[3,29,48,73,74,77],serializbl:45,serialized_json:44,serv:1,set:[1,2,3,4,5,6,8,12,16,19,21,22,23,24,25,26,27,28,29,30,31,49,50,57,61,63,66,68,70,71,72,74,77],set_dpi:74,set_label:[2,21,27,75],set_label_map:[22,23,24,26,30],set_model:[1,3,21,27,68],set_opt:68,set_param:[1,2,3,21,22,23,24,26,27,28,30,68,75],set_postprocessor:[3,21,27,68,75],set_preprocessor:[3,21,27,68],set_se:[6,73],set_size_inch:74,set_verbos:[19,68,69,74,77],set_weight:29,setdefault:[1,50],setter:49,setup:[63,67],sever:[43,46,71,73],sha1:[3,66],sha256:[3,66],shallow:50,shantanu:25,shape:[1,25,28,29,64,73],share:[50,73],sheet:4,shorten:[48,71,73,74,77],should:[2,4,26,29,30,33,34,35,36,37,43,45,47,52,61,66,71,73,74,77],show:[1,2,25,65,68,69,71,73,75],show_confid:[2,3,21,22,23,24,26,27,30,68,75],shown:[4,25,29,64,71,73],shuffl:50,shuffle_in_chunk:50,shutil:72,si1:4,si2:4,sigmoid:1,sign:50,signatur:29,signific:[38,73],simialrli:74,similar:[2,3,26,48,73,74,77],similarli:[29,64,74,77],simpl:[68,74,77],simpli:[36,45,72],simultan:3,sinc:[3,8,16,29,68],singl:[4,10,21,22,23,24,26,27,28,29,30,50,66,69,75,77],single_profil:69,singlequot:4,size:[1,12,21,27,28,48,49,50,64,71],size_conv:[1,23,24],size_fc:[1,23,24],size_lstm:1,skeleton:64,sketch:[49,73],skew:[38,43,46,49,50,51,64,66,73],skip:[4,21,27,45,71,74],skip_postprocessor:[21,27],skipkei:45,sklearn:[25,29],slight:75,slightli:29,slimmer:[66,67],small:[68,73],smith:68,snappy_compressed_intentionally_mislabeled_fil:4,so:[29,49,51,65],softmax:1,softmax_output_layer_nam:1,softwar:29,some:[1,29,65,68,71,72,73,76],someth:[4,68],sort:[25,29,45,66,73],sort_dict:[64,66],sort_kei:45,sort_valu:[66,73],sourc:[12,14,24,67,68],source_fil:24,source_keyword:14,source_nod:14,space:1,spaci:[3,68],spam:68,spars:[4,71,74],spearman:76,special:[17,29],specif:[3,4,5,9,12,19,25,29,45,65,66,68,71,72,73,74,77],specifi:[1,2,3,5,8,9,10,11,14,15,16,17,18,21,25,27,28,29,41,45,48,49,50,61,63,64,65,71,72,74,75],split:[0,1,21,28,64,66,68,73,75],split_predict:28,split_ratio:[1,68],spreadsheet:[8,10,15,17],spreadsheetdata:[10,15,16],spreadsheetdatamixin:[10,15,16,17],sqrt:73,squar:[25,50,73],src:[4,29],ssmith:68,ssn:[2,3,5,66],st:75,stabil:[29,73],stage:2,standard:[68,72,73,76],standardli:72,start:[2,3,13,28,30,61,68,69,75,76],stat1:50,stat2:50,stat:[6,32,33,38,43,49,50,64,66,73],state:[28,29,49,76],statement:75,staticmethod:46,statist:[4,32,34,38,39,48,49,50,64,66,71,74,75,77],statu:[21,22,23,24,26,27,30],std:[66,74],stddev:[38,43,46,51,66,73,74],step:[1,2,29,67,76],still:[29,66,75],stop:[49,73,77],stop_condition_unique_value_ratio:[49,73],stop_word:[49,73,77],store:[22,29,48,50,74,76,77],str:[1,4,8,9,10,11,12,13,14,15,16,17,18,19,21,22,23,24,25,26,27,28,29,30,31,33,34,35,36,37,38,39,41,43,44,45,46,47,48,49,50,51,52,53,57,61,65,66,68,73,74,77],str_:28,stream:[5,12,13,71],strength:25,strict:[66,67],string:[1,2,3,4,5,12,13,14,17,25,26,28,29,30,33,34,35,36,37,38,39,43,45,46,47,48,49,50,51,52,53,61,66,68,71,72,73,74,75,77],stringio:[8,12,13,15,16],struct:28,structcharpostprocessor:[3,20,28,68],structcharpreprocessor:[3,20,28,68],structregexpostprocessor:[28,75],structur:[1,4,5,6,7,12,13,25,27,28,29,36,38,43,45,47,48,49,51,63,66,77],structured_mixin:[10,15,16,17],structured_model:20,structured_opt:[1,49,68,71,73,74,75],structured_profil:73,structured_report:73,structuredcol:48,structuredcolprofil:[44,48,65],structureddatalabel:[20,27],structuredopt:[35,48,49],structuredprofil:[8,9,10,14,15,16,18,48,63],sturg:73,sub:29,subclass:[9,13,21,22,23,24,26,27,28,29,30,33,34,37,44,45,46,47,51],subject:[4,29,68],sublass:36,submodul:29,subsequ:[28,73],subset:[25,49,68,73],subtext:75,subtract:[38,43,46,50,51,73],success:41,successfulli:71,sudo:67,suffix:2,suggest:[50,66,75],suggest_pool_s:50,suggested_pool_s:50,suit:68,sum:[29,36,49,51,66,73],sum_predict:36,summari:[1,3,23,24,25,68,74,77],sunita:25,superimpos:[38,43,46,51],supplement:4,suppli:29,support:[5,25,29,68,73,74,77],supports_mask:29,sure:[1,29],swap:[1,3],sy:[1,2,4,31,57,64,68,69,71,72,74,75,77],symbol:29,synchron:29,synthet:[74,77],system:[29,73],t334:3,t555:3,t:[28,29,31,45,50,57,66,67,73,74,77],tabl:[4,29],tabular:[1,3,64,68],take:[3,5,12,25,28,29,45,65,66,68,69,73,74,77],taken:29,tanh:1,target:[14,25],target_keyword:14,target_nam:25,target_nod:14,task:76,tcall:3,teach:[2,34,75],techniqu:4,tell:[46,75],tensor:29,tensorflow:[1,29,50,66,67,68,69,74,77],tensorflow_addon:29,tensorshap:29,tensorspec:29,term:[1,3,74,77],terminolog:66,test:[1,2,4,8,12,15,16,38,43,45,46,50,51,64,68,71,72,73,74,75,77],test_csv_data:67,test_label:68,test_profile_build:67,test_train_diff:64,testing_data:[64,74,77],testing_profil:64,testprofil:67,text:[1,3,4,5,6,7,10,20,23,24,25,28,29,32,46,49,66,68,71,73,74,77],text_column_profil:51,text_data:[11,18,66,71],text_fil:[4,66,71],text_sampl:71,textcolumn:51,textdata:[4,11,18,66,71],textiobas:13,textiowrapp:12,textopt:[49,51],textprofil:[35,53],textprofileropt:[49,53],textrm:29,tf:[1,6,20,29,68,69,74,77],tflite:29,tfmot:29,tfood:3,th:73,than:[1,2,12,28,29,36,73,75],thei:[4,22,23,24,26,28,29,30,31,57,68,71,73,74,77],them:[48,64,65,66,68,71,72,73,74,77],themselv:29,theori:4,therefor:12,thereof:29,thi:[1,2,3,4,7,8,9,10,12,14,15,16,18,25,26,28,29,30,34,35,36,37,38,40,42,43,45,46,47,48,49,50,51,61,64,65,66,67,68,69,71,72,73,74,75,77],thie:76,thing:50,think:[68,76],third:75,those:[2,68,76],thread_saf:[33,34,36,37,38,43,46,47,51],three:[68,73],threshold:[1,28,29,49,50,73],through:[5,12,34,68,71],throught:2,thrown:1,thu:29,thyme:68,ti:3,tie:28,time:[3,12,25,29,33,34,36,37,38,39,43,46,47,50,51,61,64,66,72,73,74,75,77],time_axi:72,time_index:72,time_offset:72,time_width:72,timedelta:50,titan:4,titl:[65,73,74],tjohn:3,tneed:3,tnot:3,to_datetim:72,to_fil:72,to_seri:45,togeth:[21,27,28,50,66,69,73,74,77],toggl:[50,66,71,73],token:18,tolist:[1,68],too:[2,50,66,67],took:73,top:[34,36,49,73,76],top_k:36,top_k_categori:[49,73],top_k_char:[49,73],top_k_mod:73,top_k_word:[49,73],top_profil:50,topolog:29,total:[5,12,25,29,73],tpleas:3,trace:29,track:29,train:[1,21,22,23,24,27,29,63,64,66,74,77],train_data:[22,23,24],train_structured_label:[3,27,68],trainabl:[1,3,21,27,29,68],trainable_vari:29,trainable_weight:29,trainabledatalabel:[3,21,27],training_data:[74,77],training_profil:64,transfer:63,transform:[29,76],travers:34,treat:29,tree:42,true_char_level:[66,73,77],true_entities_in_index:29,true_positive_dict:2,tssn:3,tsv:[4,66,74,77],tupl:[1,12,22,23,24,25,28,29,45,48,50],turn:[29,49,68,71,73,74,75,77],tutori:[4,64],two:[3,4,28,29,36,37,38,39,43,46,47,48,50,51,52,53,64,66,69,71,72,73,74,76,77],txt:[1,4,42,66,67,71,73,74,77],tye:17,type:[1,3,5,8,9,10,11,12,13,14,15,16,17,18,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,38,39,40,41,43,44,46,47,48,49,50,51,52,53,61,63,66,68,71,72,73],typeerror:[29,45],typeguard:[12,13],typic:[5,29,50,68],typing_extens:[12,13],u:34,unalik:[34,66,73],unchang:[50,73],unclean:46,undefin:25,undefinedmetricwarn:25,under:29,underli:66,understand:73,unicod:12,unicode_to_str:12,uniform:64,unik:34,union:[8,9,10,11,12,13,14,15,16,18,21,22,23,24,25,26,27,28,30,39,48,49,50],uniqu:[1,4,29,34,49,50,68,73,74,77],unique_count:[34,49,66,73,74],unique_ratio:[34,66,73,74],unique_row_ratio:[66,73,74],uniquecountopt:[49,73],unit:[1,50,67,76],unittest:67,unknown:[1,3,28,29,66,68],unless:[29,72],unlik:[29,34],unnest:41,unspecifi:73,unstructur:[4,6,27,28,32,48,49,63,74,75],unstructured_labeler_profil:52,unstructured_model:20,unstructured_opt:[49,73,77],unstructured_profil:73,unstructured_report:73,unstructured_text_profil:53,unstructuredcompil:35,unstructureddatalabel:[20,27],unstructuredlabelerprofil:[35,52],unstructuredopt:49,unstructuredprofil:48,unstuctur:48,until:[28,73],unusu:29,unweight:25,up:[12,63],updat:[1,3,25,29,33,34,35,36,37,38,39,43,46,47,48,49,50,51,52,53,63,65],update_column_profil:48,update_d:50,update_profil:[35,48,66,71,73,74,77],update_st:29,upon:[21,26,27,28,29,30],upper:75,uppercas:75,uppercase_char:75,upstream:29,url:[3,4,12,66,68],url_as_str:12,url_to_byt:12,us:[1,3,4,8,10,12,13,14,15,16,18,20,21,22,23,24,25,26,27,28,29,30,36,44,45,48,49,50,58,63,64,65,66,67,68,71,73,74,77],us_stat:[3,66],usag:[22,28,63],use_word_level_argmax:[3,28,68],user:[1,2,3,4,5,8,10,15,16,18,21,22,23,24,25,27,30,31,48,57,64,66,68,69,71,73,74,76,77],user_set_histogram_bin:51,userdata1:[4,71],userdata1_intentionally_mislabled_fil:[4,71],usr:67,utf:[4,12,14,73,74],util:[2,3,4,6,7,19,20,32,35,48,55,66,68,69,70,73,75,76],utilizng:75,uuid:[3,66],v0:29,v1:[68,69,74,77],v:[50,67],val:[35,38,43,46,49,51,53],val_data:[22,23,24],valid:[0,1,3,5,6,8,10,12,15,16,21,22,23,24,27,49,66,70,71,72,73,74,77],validation_report:[74,77],validation_split:[3,21,68],valu:[1,2,4,10,12,13,19,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,38,39,43,46,47,48,49,50,51,66,68,72,73,74,75,76,77],valuabl:73,value1:[3,44],value2:[3,44],value3:3,value_label_df:1,valueerror:[1,12,29,44,45],vari:73,variabl:[27,29,34,38,43,46,48,49,51,65],variable_dtyp:29,variableaggregationv2:29,variablesynchron:29,varianc:[29,38,43,46,49,51,64,66,71,73,74],variat:34,variou:[5,11,29],vartyp:49,vast:73,ve:74,vector:29,venv3:67,verbos:[19,21,22,23,24,26,27,29,30],verifi:71,verify_ssl:5,version:[6,29,42,44,45,67,68,70,72,74,77],versu:25,via:[2,4,5,8,10,12,15,16,18,22,23,24,26,29,30,66,67,73,74,75,77],view:[1,2,4,50,64,68,69,71,72,74,75,77],virtual:[22,28,67],virtualenv:67,visit:66,visual:74,vocab:[49,66,73,74,77],vocab_count:[66,73],vocabulari:1,vol:34,vote:[28,36,75],vs1:4,vs2:4,vs:[28,63],w:[3,29,30,68],wa:[4,28,29,31,44,57,64,68,73,75],wai:[29,34,68,73],walk:71,want:[4,12,22,23,24,26,27,30,49,64,65,66,67,71,76],warn:[19,21,25,27,29,31,49,50,57,76],warn_for:25,warn_missing_modul:[31,57],warn_on_profil:50,warranti:29,wb:72,we:[1,2,4,12,29,34,49,64,68,71,72,73,74,75,76,77],weight:[1,3,21,22,23,24,25,26,29,30],welch:73,well:[3,12,29,71,73,74,75,76,77],went:4,were:[4,28,29,73,75],what:[2,3,4,12,49,50,63,74,75,76,77],when:[1,3,4,22,23,24,25,26,28,29,30,36,44,48,49,64,66,72,73,76,77],where:[1,2,3,12,21,22,23,24,26,27,28,29,30,34,48,73,75,76],whether:[4,12,13,14,15,21,22,23,24,26,27,28,29,30,49,71,73],which:[1,2,3,4,5,8,9,10,12,14,15,16,18,21,25,28,29,34,36,37,38,43,45,46,47,49,50,51,66,68,71,72,73,74,75,77],whitespac:[45,75],whl:67,whole:[22,23,24,26,30],whose:29,why:75,wide:[74,77],width:68,wiki:50,wikipedia:[25,50],window:76,wise:61,wish:29,with_name_scop:29,within:[4,12,19,21,27,28,29,30,36,38,43,47,49,51,52,65,73,75],without:[21,27,29,61],word:[28,49,66,68,73,75,77],word_count:[66,73,77],word_level:[28,66,73,77],word_level_min_perc:28,work:[1,14,29,49,64,65,66,71,72,73,74,77],workflow:76,would:[1,3,29,45,68,73,75],wrap:[7,29],wrapper:[12,27],write:[29,45],wrong:4,www:[29,50],x01:28,x1:50,x1b:4,x2:[50,67],x:[1,3,4,12,21,29,38,43,46,51,61,67,68,73],y1:50,y2:[50,67],y:[1,3,4,21,67,68],y_:25,y_pred:[25,29],y_true:[25,29],yate:50,yet:29,yield:45,you:[3,4,12,22,23,24,26,27,29,30,45,49,61,64,65,66,67,68,71,72,73,74,77],you_websit:5,your:[4,29,68,72,74],your_data:3,your_fil:[3,5,66,73],z2:67,z:[4,67,75],za:75,zero:[1,29,38,43,46,51,73],zoo:[21,27]},titles:["API","Adding new model to the existing DataLabeler pipeline","ColumnName Labeler Tutorial","Labeler (Sensitive Data)","Intro to Data Readers","Data Readers","Dataprofiler","Data Readers","Avro Data","Base Data","CSV Data","Data","Data Utils","Filepath Or Buffer","Graph Data","JSON Data","Parquet Data","Structured Mixins","Text Data","Dp Logging","Labelers","Base Data Labeler","Base Model","Char Load Tf Model","Character Level Cnn Model","Classification Report Utils","Column Name Model","Data Labelers","Data Processing","Labeler Utils","Regex Model","Utils","Profilers","Base Column Profilers","Categorical Column Profile","Column Profile Compilers","Data Labeler Column Profile","Datetime Column Profile","Float Column Profile","Graph Profiler","Helpers","Report Helpers","Histogram Utils","Int Column Profile","JSON Decoder","JSON Encoder","Numerical Column Stats","Order Column Profile","Profile Builder","Profiler Options","Profiler Utils","Text Column Profile","Unstructured Labeler Profile","Unstructured Text Profile","Utils","Reports","Graphs","Utils","Rng Utils","Settings","Validators","Base Validators","Version","Examples","Graph Pipeline Demo","Graphs","Data Profiler | What\u2019s in your data?","Install","Sensitive Data Detection with the Labeler","Merge List of Profiles","dataprofiler","Data Profiler - What\u2019s in your data?","Dataloader with Popmon Reports","Profiler","Structured Profilers","Building a Regex Data Labeler w/ your own Regex","Roadmap","Unstructured Profilers"],titleterms:{"char":23,"class":[65,71],"float":38,"import":[65,69],"int":43,"new":[1,2,3,75,76],A:4,Or:13,access:4,ad:1,adjust:75,after:4,alter:4,an:[3,65],api:0,attribut:4,automat:4,avro:8,avrodata:5,base:[9,21,22,33,61],basic:[63,71],both:72,buffer:13,build:[3,67,68,75],builder:48,categor:34,charact:[1,24],check:4,classif:25,cnn:24,column:[2,4,26,33,34,35,36,37,38,43,46,47,51],columnnam:2,comparison:72,compil:35,compon:3,conclus:[64,71],condit:76,content:0,csv:10,csvdata:[4,5],data:[2,3,4,5,7,8,9,10,11,12,14,15,16,18,21,27,28,36,64,65,66,68,69,71,72,73,74,75,76,77],data_format:4,datafram:[4,66,73],datalabel:[1,75],dataload:72,dataprofil:[6,70,72],dataset:1,datetim:37,decod:44,deeper:4,delimit:[4,66,73],demo:64,depend:73,descript:73,detect:[4,68],differ:[64,73,74,77],dive:4,dp:19,encod:45,entiti:3,exampl:[63,65,72],exist:[1,2,3,75],extend:3,file:[4,66,73],filepath:13,filetyp:[66,73],floatcolumn:65,format:66,from:[65,67,68],futur:[2,75],get:66,graph:[14,39,56,64,65,66,73,74],graphdata:[4,5],ground:68,header:4,helper:[40,41],histogram:[42,65],histor:76,how:72,identifi:3,implement:1,individu:65,instal:[67,72],intcolumn:65,integr:[1,75],intro:4,is_match:4,json:[15,44,45],jsondata:5,label:[2,3,20,21,27,29,36,52,66,68,75],learn:[3,68],level:[1,24],list:69,load:[2,3,4,23,64,66,68,73,74,75,77],load_from_librari:2,load_with_compon:2,log:19,lstm:1,matrix:65,merg:[66,69,71,73,74,77],metric:76,miscellan:76,miss:65,mixin:17,model:[1,2,3,22,23,24,26,30,76],modul:[6,7,20,32,40,55,60],name:[2,26],need:65,numer:46,option:[4,49,71,73,74,77],order:[47,73],own:[3,75],panda:[4,66,73],paramet:2,parquet:16,parquetdata:5,pipelin:[1,64],plot:65,popmon:72,postprocessor:[3,75],pre:[2,75],predict:[2,68,75],preprocessor:3,process:28,profil:[32,33,34,35,36,37,38,39,43,47,48,49,50,51,52,53,64,66,69,71,73,74,75,76,77],properti:75,purpos:66,quotechar:4,read:4,reader:[4,5,7,71,76],regex:[30,75],reload:4,replac:[2,75],report:[25,41,55,72,73,74,76,77],rng:58,roadmap:76,rule:75,run:69,s:[66,71,72,75],sampl:73,save:[2,64,68,73,74,75,77],scratch:[67,68],seed:73,select:4,sensit:[3,68],set:[59,73,75],setup:69,size:73,snappi:67,space:76,specifi:[4,66,73],start:66,stat:46,statist:73,structur:[3,17,68,71,73,74,75],structuredprofil:[65,75],suit:76,support:66,test:[67,76],text:[18,51,53],textdata:5,tf:23,time:76,train:[3,68],transfer:[3,68],tutori:2,type:[4,74,77],unstructur:[3,52,53,66,68,71,73,77],up:68,updat:[66,71,73,74,76,77],upgrad:76,url:5,us:[2,5,72,75],usag:[71,72],util:[12,25,29,31,42,50,54,57,58],valid:[60,61],valu:65,version:[62,66,76],vs:[71,73],w:75,we:65,what:[65,66,68,71],your:[3,65,66,71,73,75]}})
\ No newline at end of file
diff --git a/docs/0.10.5/html/unstructured_profiler_example.html b/docs/0.10.5/html/unstructured_profiler_example.html
new file mode 100644
index 000000000..78c694147
--- /dev/null
+++ b/docs/0.10.5/html/unstructured_profiler_example.html
@@ -0,0 +1,836 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Graph Pipeline Demo" href="graph_data_demo.html" /><link rel="prev" title="Structured Profilers" href="profiler_example.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Unstructured Profilers - Data Profiler v0.10.5</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.5</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/unstructured_profiler_example.nblink">View this notebook on GitHub</a></p>
+<section id="Unstructured-Profilers">
+<h1>Unstructured Profilers<a class="headerlink" href="#Unstructured-Profilers" title="Permalink to this headline">¶</a></h1>
+<p><strong>Data profiling</strong> - <em>is the process of examining a dataset and collecting statistical or informational summaries about said dataset.</em></p>
+<p>The Profiler class inside the DataProfiler is designed to generate <em>data profiles</em> via the Profiler class, which ingests either a Data class or a Pandas DataFrame.</p>
+<p>Currently, the Data class supports loading the following file formats:</p>
+<ul class="simple">
+<li><p>Any delimited (CSV, TSV, etc.)</p></li>
+<li><p>JSON object</p></li>
+<li><p>Avro</p></li>
+<li><p>Parquet</p></li>
+<li><p>Text files</p></li>
+<li><p>Pandas Series/Dataframe</p></li>
+</ul>
+<p>Once the data is loaded, the Profiler can calculate statistics and predict the entities (via the Labeler) of every column (csv) or key-value (JSON) store as well as dataset wide information, such as the number of nulls, duplicates, etc.</p>
+<p>This example will look at specifically the unstructured data types for unstructured profiling. This means that only text files, lists of strings, single column pandas dataframes/series, or DataProfile Data objects in string format will work with the unstructured profiler.</p>
+<section id="Reporting">
+<h2>Reporting<a class="headerlink" href="#Reporting" title="Permalink to this headline">¶</a></h2>
+<p>One of the primary purposes of the Profiler are to quickly identify what is in the dataset. This can be useful for analyzing a dataset prior to use or determining which columns could be useful for a given purpose.</p>
+<p>In terms of reporting, there are multiple reporting options:</p>
+<ul class="simple">
+<li><p><strong>Pretty</strong>: Floats are rounded to four decimal places, and lists are shortened.</p></li>
+<li><p><strong>Compact</strong>: Similar to pretty, but removes detailed statistics</p></li>
+<li><p><strong>Serializable</strong>: Output is json serializable and not prettified</p></li>
+<li><p><strong>Flat</strong>: Nested Output is returned as a flattened dictionary</p></li>
+</ul>
+<p>The <strong>Pretty</strong> and <strong>Compact</strong> reports are the two most commonly used reports and includes <code class="docutils literal notranslate"><span class="pre">global_stats</span></code> and <code class="docutils literal notranslate"><span class="pre">data_stats</span></code> for the given dataset. <code class="docutils literal notranslate"><span class="pre">global_stats</span></code> contains overall properties of the data such as samples used and file encoding. <code class="docutils literal notranslate"><span class="pre">data_stats</span></code> contains specific properties and statistics for each text sample.</p>
+<p>For unstructured profiles, the report looks like this:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>"global_stats": {
+    "samples_used": int,
+    "empty_line_count": int,
+    "file_type": string,
+    "encoding": string
+},
+"data_stats": {
+    "data_label": {
+        "entity_counts": {
+            "word_level": dict(int),
+            "true_char_level": dict(int),
+            "postprocess_char_level": dict(int)
+        },
+        "times": dict(float)
+    },
+    "statistics": {
+        "vocab": list(char),
+        "words": list(string),
+        "word_count": dict(int),
+        "times": dict(float)
+    }
+}
+</pre></div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+<span class="kn">import</span> <span class="nn">json</span>
+
+<span class="k">try</span><span class="p">:</span>
+    <span class="n">sys</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="s1">'..'</span><span class="p">)</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
+    <span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">data_path</span> <span class="o">=</span> <span class="s2">"../dataprofiler/tests/data"</span>
+
+<span class="c1"># remove extra tf loggin</span>
+<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
+<span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">logging</span><span class="o">.</span><span class="n">set_verbosity</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">compat</span><span class="o">.</span><span class="n">v1</span><span class="o">.</span><span class="n">logging</span><span class="o">.</span><span class="n">ERROR</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"txt/discussion_reddit.txt"</span><span class="p">))</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Profiler-Type">
+<h2>Profiler Type<a class="headerlink" href="#Profiler-Type" title="Permalink to this headline">¶</a></h2>
+<p>It should be noted, in addition to reading the input data from text files, DataProfiler allows the input data as a pandas dataframe, a pandas series, a list, and Data objects (when an unstructured format is selected) if the Profiler is explicitly chosen as unstructured.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># run data profiler and get the report</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"csv/SchoolDataSmall.csv"</span><span class="p">),</span> <span class="n">options</span><span class="o">=</span><span class="p">{</span><span class="s2">"data_format"</span><span class="p">:</span> <span class="s2">"records"</span><span class="p">})</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">profiler_type</span><span class="o">=</span><span class="s1">'unstructured'</span><span class="p">)</span>
+
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Profiler-options">
+<h2>Profiler options<a class="headerlink" href="#Profiler-options" title="Permalink to this headline">¶</a></h2>
+<p>The DataProfiler has the ability to turn on and off components as needed. This is accomplished via the <code class="docutils literal notranslate"><span class="pre">ProfilerOptions</span></code> class.</p>
+<p>For example, if a user doesn’t require vocab count information they may desire to turn off the word count functionality.</p>
+<p>Below, let’s remove the vocab count and set the stop words.</p>
+<p>Full list of options in the Profiler section of the <a class="reference external" href="https://capitalone.github.io/DataProfiler/profile_options.html">DataProfiler documentation</a>.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"txt/discussion_reddit.txt"</span><span class="p">))</span>
+
+<span class="n">profile_options</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">ProfilerOptions</span><span class="p">()</span>
+
+<span class="c1"># Setting multiple options via set</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span> <span class="s2">"*.vocab.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span> <span class="s2">"*.is_case_sensitive"</span><span class="p">:</span> <span class="kc">True</span> <span class="p">})</span>
+
+<span class="c1"># Set options via directly setting them</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">unstructured_options</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">stop_words</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"These"</span><span class="p">,</span> <span class="s2">"are"</span><span class="p">,</span> <span class="s2">"stop"</span><span class="p">,</span> <span class="s2">"words"</span><span class="p">]</span>
+
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">profile_options</span><span class="p">)</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"compact"</span><span class="p">})</span>
+
+<span class="c1"># Print the report</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Updating-Profiles">
+<h2>Updating Profiles<a class="headerlink" href="#Updating-Profiles" title="Permalink to this headline">¶</a></h2>
+<p>Beyond just profiling, one of the unique aspects of the DataProfiler is the ability to update the profiles. To update appropriately, the schema (columns / keys) must match appropriately.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Load and profile a CSV file</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"txt/sentence-3x.txt"</span><span class="p">))</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Update the profile with new data:</span>
+<span class="n">new_data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"txt/sentence-3x.txt"</span><span class="p">))</span>
+<span class="n">profile</span><span class="o">.</span><span class="n">update_profile</span><span class="p">(</span><span class="n">new_data</span><span class="p">)</span>
+
+<span class="c1"># Take a peek at the data</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">new_data</span><span class="o">.</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Report the compact version of the profile</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"compact"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Merging-Profiles">
+<h2>Merging Profiles<a class="headerlink" href="#Merging-Profiles" title="Permalink to this headline">¶</a></h2>
+<p>Merging profiles are an alternative method for updating profiles. Particularly, multiple profiles can be generated seperately, then added together with a simple <code class="docutils literal notranslate"><span class="pre">+</span></code> command: <code class="docutils literal notranslate"><span class="pre">profile3</span> <span class="pre">=</span> <span class="pre">profile1</span> <span class="pre">+</span> <span class="pre">profile2</span></code></p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Load a CSV file with a schema</span>
+<span class="n">data1</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"txt/sentence-3x.txt"</span><span class="p">))</span>
+<span class="n">profile1</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data1</span><span class="p">)</span>
+
+<span class="c1"># Load another CSV file with the same schema</span>
+<span class="n">data2</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"txt/sentence-3x.txt"</span><span class="p">))</span>
+<span class="n">profile2</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data2</span><span class="p">)</span>
+
+<span class="c1"># Merge the profiles</span>
+<span class="n">profile3</span> <span class="o">=</span> <span class="n">profile1</span> <span class="o">+</span> <span class="n">profile2</span>
+
+<span class="c1"># Report the compact version of the profile</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile3</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"compact"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<p>As you can see, the <code class="docutils literal notranslate"><span class="pre">update_profile</span></code> function and the <code class="docutils literal notranslate"><span class="pre">+</span></code> operator function similarly. The reason the <code class="docutils literal notranslate"><span class="pre">+</span></code> operator is important is that it’s possible to <em>save and load profiles</em>, which we cover next.</p>
+</section>
+<section id="Differences-in-Data">
+<h2>Differences in Data<a class="headerlink" href="#Differences-in-Data" title="Permalink to this headline">¶</a></h2>
+<p>Can be applied to both structured and unstructured datasets.</p>
+<p>Such reports can provide details on the differences between training and validation data like in this pseudo example:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">profiler_training</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">training_data</span><span class="p">)</span>
+<span class="n">profiler_testing</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">testing_data</span><span class="p">)</span>
+
+<span class="n">validation_report</span> <span class="o">=</span> <span class="n">profiler_training</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">profiler_testing</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="kn">from</span> <span class="nn">pprint</span> <span class="kn">import</span> <span class="n">pprint</span>
+
+<span class="c1"># unstructured differences example</span>
+<span class="n">data_split_differences</span> <span class="o">=</span> <span class="n">profile1</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">profile2</span><span class="p">)</span>
+<span class="n">pprint</span><span class="p">(</span><span class="n">data_split_differences</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Saving-and-Loading-a-Profile">
+<h2>Saving and Loading a Profile<a class="headerlink" href="#Saving-and-Loading-a-Profile" title="Permalink to this headline">¶</a></h2>
+<p>Not only can the Profiler create and update profiles, it’s also possible to save, load then manipulate profiles.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Load data</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="s2">"txt/sentence-3x.txt"</span><span class="p">))</span>
+
+<span class="c1"># Generate a profile</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Save a profile to disk for later (saves as pickle file)</span>
+<span class="n">profile</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s2">"my_profile.pkl"</span><span class="p">)</span>
+
+<span class="c1"># Load a profile from disk</span>
+<span class="n">loaded_profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s2">"my_profile.pkl"</span><span class="p">)</span>
+
+<span class="c1"># Report the compact version of the profile</span>
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"compact"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<p>With the ability to save and load profiles, profiles can be generated via multiple machines then merged. Further, profiles can be stored and later used in applications such as change point detection, synthetic data generation, and more.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span><span class="c1"># Load a multiple files via the Data class</span>
+<span class="n">filenames</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"txt/sentence-3x.txt"</span><span class="p">,</span>
+             <span class="s2">"txt/sentence.txt"</span><span class="p">]</span>
+<span class="n">data_objects</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">filename</span> <span class="ow">in</span> <span class="n">filenames</span><span class="p">:</span>
+    <span class="n">data_objects</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="n">filename</span><span class="p">)))</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="n">data_objects</span><span class="p">)</span>
+<span class="c1"># Generate and save profiles</span>
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">data_objects</span><span class="p">)):</span>
+    <span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">data_objects</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
+    <span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"compact"</span><span class="p">})</span>
+    <span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+    <span class="n">profile</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s2">"data-"</span><span class="o">+</span><span class="nb">str</span><span class="p">(</span><span class="n">i</span><span class="p">)</span><span class="o">+</span><span class="s2">".pkl"</span><span class="p">)</span>
+
+
+<span class="c1"># Load profiles and add them together</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="kc">None</span>
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">data_objects</span><span class="p">)):</span>
+    <span class="k">if</span> <span class="n">profile</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s2">"data-"</span><span class="o">+</span><span class="nb">str</span><span class="p">(</span><span class="n">i</span><span class="p">)</span><span class="o">+</span><span class="s2">".pkl"</span><span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">profile</span> <span class="o">+=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s2">"data-"</span><span class="o">+</span><span class="nb">str</span><span class="p">(</span><span class="n">i</span><span class="p">)</span><span class="o">+</span><span class="s2">".pkl"</span><span class="p">)</span>
+
+
+<span class="c1"># Report the compact version of the profile</span>
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"compact"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="graph_data_demo.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Graph Pipeline Demo</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="profiler_example.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Structured Profilers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/unstructured_profiler_example.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Unstructured Profilers</a><ul>
+<li><a class="reference internal" href="#Reporting">Reporting</a></li>
+<li><a class="reference internal" href="#Profiler-Type">Profiler Type</a></li>
+<li><a class="reference internal" href="#Profiler-options">Profiler options</a></li>
+<li><a class="reference internal" href="#Updating-Profiles">Updating Profiles</a></li>
+<li><a class="reference internal" href="#Merging-Profiles">Merging Profiles</a></li>
+<li><a class="reference internal" href="#Differences-in-Data">Differences in Data</a></li>
+<li><a class="reference internal" href="#Saving-and-Loading-a-Profile">Saving and Loading a Profile</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.5/html/unstructured_profiler_example.ipynb b/docs/0.10.5/html/unstructured_profiler_example.ipynb
new file mode 100644
index 000000000..9ab754cc7
--- /dev/null
+++ b/docs/0.10.5/html/unstructured_profiler_example.ipynb
@@ -0,0 +1,436 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f37ca393",
+   "metadata": {},
+   "source": [
+    "# Unstructured Profilers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff9bd095",
+   "metadata": {},
+   "source": [
+    "**Data profiling** - *is the process of examining a dataset and collecting statistical or informational summaries about said dataset.*\n",
+    "\n",
+    "The Profiler class inside the DataProfiler is designed to generate *data profiles* via the Profiler class, which ingests either a Data class or a Pandas DataFrame. \n",
+    "\n",
+    "Currently, the Data class supports loading the following file formats:\n",
+    "\n",
+    "* Any delimited  (CSV, TSV, etc.)\n",
+    "* JSON object\n",
+    "* Avro\n",
+    "* Parquet\n",
+    "* Text files\n",
+    "* Pandas Series/Dataframe\n",
+    "\n",
+    "Once the data is loaded, the Profiler can calculate statistics and predict the entities (via the Labeler) of every column (csv) or key-value (JSON) store as well as dataset wide information, such as the number of nulls, duplicates, etc.\n",
+    "\n",
+    "This example will look at specifically the unstructured data types for unstructured profiling. This means that only text files, lists of strings, single column pandas dataframes/series, or DataProfile Data objects in string format will work with the unstructured profiler. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de58b9c4",
+   "metadata": {},
+   "source": [
+    "## Reporting"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8001185a",
+   "metadata": {},
+   "source": [
+    "One of the primary purposes of the Profiler are to quickly identify what is in the dataset. This can be useful for analyzing a dataset prior to use or determining which columns could be useful for a given purpose.\n",
+    "\n",
+    "In terms of reporting, there are multiple reporting options:\n",
+    "\n",
+    "* **Pretty**: Floats are rounded to four decimal places, and lists are shortened.\n",
+    "* **Compact**: Similar to pretty, but removes detailed statistics\n",
+    "* **Serializable**: Output is json serializable and not prettified\n",
+    "* **Flat**: Nested Output is returned as a flattened dictionary\n",
+    "\n",
+    "The **Pretty** and **Compact** reports are the two most commonly used reports and includes `global_stats` and `data_stats` for the given dataset. `global_stats` contains overall properties of the data such as samples used and file encoding. `data_stats` contains specific properties and statistics for each text sample.\n",
+    "\n",
+    "For unstructured profiles, the report looks like this:\n",
+    "\n",
+    "```\n",
+    "\"global_stats\": {\n",
+    "    \"samples_used\": int,\n",
+    "    \"empty_line_count\": int,\n",
+    "    \"file_type\": string,\n",
+    "    \"encoding\": string\n",
+    "},\n",
+    "\"data_stats\": {\n",
+    "    \"data_label\": {\n",
+    "        \"entity_counts\": {\n",
+    "            \"word_level\": dict(int),\n",
+    "            \"true_char_level\": dict(int),\n",
+    "            \"postprocess_char_level\": dict(int)\n",
+    "        },\n",
+    "        \"times\": dict(float)\n",
+    "    },\n",
+    "    \"statistics\": {\n",
+    "        \"vocab\": list(char),\n",
+    "        \"words\": list(string),\n",
+    "        \"word_count\": dict(int),\n",
+    "        \"times\": dict(float)\n",
+    "    }\n",
+    "}\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5fcb5447",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\"\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "import tensorflow as tf\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a7fc2df6",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"txt/discussion_reddit.txt\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\": \"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4d183992",
+   "metadata": {},
+   "source": [
+    "## Profiler Type"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d7ec39d2",
+   "metadata": {},
+   "source": [
+    "It should be noted, in addition to reading the input data from text files, DataProfiler allows the input data as a pandas dataframe, a pandas series, a list, and Data objects (when an unstructured format is selected) if the Profiler is explicitly chosen as unstructured."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "29737f25",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# run data profiler and get the report\n",
+    "import pandas as pd\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/SchoolDataSmall.csv\"), options={\"data_format\": \"records\"})\n",
+    "profile = dp.Profiler(data, profiler_type='unstructured')\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fe02ad64",
+   "metadata": {},
+   "source": [
+    "## Profiler options"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "40804cc9",
+   "metadata": {},
+   "source": [
+    "The DataProfiler has the ability to turn on and off components as needed. This is accomplished via the `ProfilerOptions` class.\n",
+    "\n",
+    "For example, if a user doesn't require vocab count information they may desire to turn off the word count functionality.\n",
+    "\n",
+    "Below, let's remove the vocab count and set the stop words. \n",
+    "\n",
+    "Full list of options in the Profiler section of the [DataProfiler documentation](https://capitalone.github.io/DataProfiler/profile_options.html)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d25d899",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"txt/discussion_reddit.txt\"))\n",
+    "\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "\n",
+    "# Setting multiple options via set\n",
+    "profile_options.set({ \"*.vocab.is_enabled\": False, \"*.is_case_sensitive\": True })\n",
+    "\n",
+    "# Set options via directly setting them\n",
+    "profile_options.unstructured_options.text.stop_words = [\"These\", \"are\", \"stop\", \"words\"]\n",
+    "\n",
+    "profile = dp.Profiler(data, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\": \"compact\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2052415a",
+   "metadata": {},
+   "source": [
+    "## Updating Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e02f746",
+   "metadata": {},
+   "source": [
+    "Beyond just profiling, one of the unique aspects of the DataProfiler is the ability to update the profiles. To update appropriately, the schema (columns / keys) must match appropriately."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7ab8022f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load and profile a CSV file\n",
+    "data = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Update the profile with new data:\n",
+    "new_data = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile.update_profile(new_data)\n",
+    "\n",
+    "# Take a peek at the data\n",
+    "print(data.data)\n",
+    "print(new_data.data)\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile.report(report_options={\"output_format\": \"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "66ec6dc5",
+   "metadata": {},
+   "source": [
+    "## Merging Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2265fe9",
+   "metadata": {},
+   "source": [
+    "Merging profiles are an alternative method for updating profiles. Particularly, multiple profiles can be generated seperately, then added together with a simple `+` command: `profile3 = profile1 + profile2`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cc68ca07",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load a CSV file with a schema\n",
+    "data1 = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile1 = dp.Profiler(data1)\n",
+    "\n",
+    "# Load another CSV file with the same schema\n",
+    "data2 = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile2 = dp.Profiler(data2)\n",
+    "\n",
+    "# Merge the profiles\n",
+    "profile3 = profile1 + profile2\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile3.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ea07dc6",
+   "metadata": {},
+   "source": [
+    "As you can see, the `update_profile` function and the `+` operator function similarly. The reason the `+` operator is important is that it's possible to *save and load profiles*, which we cover next."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4704961a",
+   "metadata": {},
+   "source": [
+    "## Differences in Data\n",
+    "Can be applied to both structured and unstructured datasets. \n",
+    "\n",
+    "Such reports can provide details on the differences between training and validation data like in this pseudo example:\n",
+    "```python\n",
+    "profiler_training = dp.Profiler(training_data)\n",
+    "profiler_testing = dp.Profiler(testing_data)\n",
+    "\n",
+    "validation_report = profiler_training.diff(profiler_testing)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "58f92c1b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pprint import pprint\n",
+    "\n",
+    "# unstructured differences example\n",
+    "data_split_differences = profile1.diff(profile2)\n",
+    "pprint(data_split_differences)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "30868000",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Profile"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2858072",
+   "metadata": {},
+   "source": [
+    "Not only can the Profiler create and update profiles, it's also possible to save, load then manipulate profiles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2ad9ca57",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load data\n",
+    "data = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "\n",
+    "# Generate a profile\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Save a profile to disk for later (saves as pickle file)\n",
+    "profile.save(filepath=\"my_profile.pkl\")\n",
+    "\n",
+    "# Load a profile from disk\n",
+    "loaded_profile = dp.Profiler.load(\"my_profile.pkl\")\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f9859c2",
+   "metadata": {},
+   "source": [
+    "With the ability to save and load profiles, profiles can be generated via multiple machines then merged. Further, profiles can be stored and later used in applications such as change point detection, synthetic data generation, and more. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3571f2d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load a multiple files via the Data class\n",
+    "filenames = [\"txt/sentence-3x.txt\",\n",
+    "             \"txt/sentence.txt\"]\n",
+    "data_objects = []\n",
+    "for filename in filenames:\n",
+    "    data_objects.append(dp.Data(os.path.join(data_path, filename)))\n",
+    "\n",
+    "print(data_objects)\n",
+    "# Generate and save profiles\n",
+    "for i in range(len(data_objects)):\n",
+    "    profile = dp.Profiler(data_objects[i])\n",
+    "    report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "    print(json.dumps(report, indent=4))\n",
+    "    profile.save(filepath=\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Load profiles and add them together\n",
+    "profile = None\n",
+    "for i in range(len(data_objects)):\n",
+    "    if profile is None:\n",
+    "        profile = dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "    else:\n",
+    "        profile += dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 7961de1cd..5e97ab064 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -476,6 +476,7 @@ In addition, it utilizes only the first 10,000 rows.
 
 Versions
 ========
+* `0.10.5`_
 * `0.10.4`_
 * `0.10.3`_
 * `0.10.2`_
@@ -582,3 +583,5 @@ Versions
 
 .. _0.10.4: ../../0.10.4/html/index.html
 
+.. _0.10.5: ../../0.10.5/html/index.html
+
diff --git a/index.html b/index.html
index e61dd1fe2..11f8ba6e8 100644
--- a/index.html
+++ b/index.html
@@ -1 +1 @@
-<meta http-equiv="refresh" content="0; url=./docs/0.10.4/html/index.html" />
\ No newline at end of file
+<meta http-equiv="refresh" content="0; url=./docs/0.10.5/html/index.html" />
\ No newline at end of file
diff --git a/profiler_options.html b/profiler_options.html
index b7c436e11..1c6c42076 100644
--- a/profiler_options.html
+++ b/profiler_options.html
@@ -1 +1 @@
-<meta http-equiv="refresh" content="0; url=./docs/0.10.4/html/profiler.html#profile-options" />
\ No newline at end of file
+<meta http-equiv="refresh" content="0; url=./docs/0.10.5/html/profiler.html#profile-options" />
\ No newline at end of file